CN118972494A - Intelligent voice outbound platform - Google Patents
- ️Fri Nov 15 2024
CN118972494A - Intelligent voice outbound platform - Google Patents
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- CN118972494A CN118972494A CN202411396638.1A CN202411396638A CN118972494A CN 118972494 A CN118972494 A CN 118972494A CN 202411396638 A CN202411396638 A CN 202411396638A CN 118972494 A CN118972494 A CN 118972494A Authority
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Abstract
The invention relates to the technical field of automatic dialing, in particular to an intelligent voice outbound platform which comprises a network monitoring module, a cost calculating module, a geographic matching module, a time optimizing module, a selection adjusting module and a call encrypting module. According to the invention, by correlating the intelligent voice outbound success rate with the cost and carrying out cost benefit analysis, the resource allocation is more accurate, the service quality and the customer satisfaction are improved, the service is more personalized and the response speed is faster by matching the geographic position and the demand of the customer, the dialing strategy is adjusted to adapt to the service condition and the congestion condition of a network channel, the call quality and the cost efficiency are further optimized, the network is dynamically adjusted to capture the optimal balance point of the cost and the performance, in the continuously changing network environment, the user can always obtain the optimal service experience, the enterprise operation cost is reduced, the user experience is enhanced by customizing the communication mode, and the revolutionary influence is generated on the operation of the call center.
Description
技术领域Technical Field
本发明涉及自动拨号技术领域,尤其涉及一种智能语音外呼平台。The present invention relates to the technical field of automatic dialing, and in particular to an intelligent voice outbound calling platform.
背景技术Background Art
自动拨号技术领域专注于利用自动化平台来启动电话呼叫,应用于呼叫中心、客服中心和市场营销活动,目的是提高工作效率并减少人工拨打电话的需求。自动拨号平台可以按照预设的名单自动拨打电话号码,并在接通后将通话转接给真人操作员或播放预录消息。可以进一步与语音识别平台、人工智能和机器学习算法整合,以优化响应策略、分析通话内容并提供个性化服务。自动拨号技术的发展也包括复杂的算法来管理呼叫时序、优化呼叫分配和遵守法律法规,如防止频繁无意义呼叫等。The field of autodialing technology focuses on using automation platforms to initiate phone calls. It is applied to call centers, customer service centers and marketing activities, with the goal of improving work efficiency and reducing the need for manual phone calls. The autodialing platform can automatically dial phone numbers according to a preset list and transfer the call to a live operator or play a pre-recorded message after the call is connected. It can be further integrated with speech recognition platforms, artificial intelligence and machine learning algorithms to optimize response strategies, analyze call content and provide personalized services. The development of autodialing technology also includes complex algorithms to manage call timing, optimize call distribution and comply with laws and regulations, such as preventing frequent meaningless calls.
其中,智能语音外呼平台是一种集成自动拨号技术和语音处理技术的平台,旨在自动化电话呼叫过程并提供高度互动的客户服务体验,使用自动拨号功能来有效管理批量的外呼活动,同时整合语音识别和自然语言处理技术,使平台能够理解和回应客户的语音输入。智能语音外呼平台广泛应用于客户支持、市场营销推广和信息广播等领域,可以显著提高沟通效率,减少企业运营成本,并通过提供定制化的交流方式来增强用户体验。平台的普及对于呼叫中心运营是一次革命性的改进,使企业能够在保持高效率的同时,还能维护良好的客户关系。Among them, the intelligent voice outbound call platform is a platform that integrates automatic dialing technology and voice processing technology. It is designed to automate the telephone call process and provide a highly interactive customer service experience. It uses the automatic dialing function to effectively manage batch outbound call activities, while integrating voice recognition and natural language processing technology to enable the platform to understand and respond to customer voice input. Intelligent voice outbound call platforms are widely used in customer support, marketing promotion, and information broadcasting. They can significantly improve communication efficiency, reduce corporate operating costs, and enhance user experience by providing customized communication methods. The popularity of the platform is a revolutionary improvement for call center operations, enabling companies to maintain high efficiency while maintaining good customer relationships.
现有的自动拨号技术虽然能够管理批量呼叫,提高效率,但缺乏对网络状态的适应性和对成本效益的深入分析,在实际操作中,尤其是在网络状况复杂或不稳定的环境下,导致服务质量不一、客户体验差异大。例如,自动拨号平台在网络拥塞时仍旧盲目地发起呼叫,造成高通话失败率和低效的资源利用,在客户服务和市场营销领域尤其致命。现有技术没有充分利用地理和时间数据来优化拨号策略,导致不能根据客户的实际需求和位置提供个性化服务,在激烈的市场竞争中处于不利地位。Although the existing automatic dialing technology can manage batch calls and improve efficiency, it lacks adaptability to network status and in-depth analysis of cost-effectiveness. In actual operation, especially in complex or unstable network conditions, it leads to inconsistent service quality and customer experience. For example, the automatic dialing platform still blindly initiates calls when the network is congested, resulting in high call failure rates and inefficient resource utilization, which is particularly fatal in the fields of customer service and marketing. Existing technologies do not make full use of geographic and time data to optimize dialing strategies, resulting in the inability to provide personalized services based on customers' actual needs and locations, which puts them at a disadvantage in the fierce market competition.
发明内容Summary of the invention
本发明的目的是解决现有技术中存在的缺点,而提出的一种智能语音外呼平台。The purpose of the present invention is to solve the shortcomings of the prior art and to propose an intelligent voice outbound calling platform.
为了实现上述目的,本发明采用了如下技术方案,一种智能语音外呼平台包括:In order to achieve the above object, the present invention adopts the following technical solution, an intelligent voice outbound calling platform includes:
网络监控模块通过监测多网络通道的延迟,记录丢包率和数据传输速度,分析和记录性能指标,生成网络性能数据;The network monitoring module generates network performance data by monitoring the delay of multiple network channels, recording the packet loss rate and data transmission speed, analyzing and recording performance indicators;
成本计算模块采用所述网络性能数据,对差异化智能语音外呼通道的成本进行计算,并将智能语音外呼成功率与成本关联,输出成本效益分析结果;The cost calculation module uses the network performance data to calculate the cost of the differentiated intelligent voice outbound call channel, associates the intelligent voice outbound call success rate with the cost, and outputs a cost-benefit analysis result;
地理匹配模块通过所述成本效益分析结果,结合客户地理位置,参照用户实时变化的需求,进行地理位置与智能语音外呼网络状态的匹配分析,输出优选网络配置;The geographic matching module uses the cost-benefit analysis results, combines the customer's geographic location, and refers to the user's real-time changing needs to perform a matching analysis between the geographic location and the intelligent voice outbound call network status, and outputs the optimal network configuration;
时间优化模块采用所述优选网络配置,根据差异化时间段的网络通道使用情况和拥塞情况,调整智能语音外呼的时间和用户选择,构建调整拨号策略;The time optimization module adopts the preferred network configuration, adjusts the time and user selection of intelligent voice outbound calls according to the network channel usage and congestion in differentiated time periods, and constructs an adjustment dialing strategy;
选择调整模块基于所述调整拨号策略,进行智能语音外呼网络选择的优化,通过动态调整网络,捕捉智能语音外呼成本与性能的最优平衡点,输出网络选择策略;The selection adjustment module optimizes the selection of the intelligent voice outbound call network based on the adjusted dialing strategy, captures the optimal balance point between the cost and performance of the intelligent voice outbound call by dynamically adjusting the network, and outputs the network selection strategy;
通话加密模块根据所述网络选择策略,为智能语音外呼通话分配加密密钥,通过实时管理密钥的使用,查验通话的数据安全性,输出外呼加密验证结果。The call encryption module allocates encryption keys for intelligent voice outbound calls according to the network selection strategy, verifies the data security of the calls by managing the use of the keys in real time, and outputs the outbound encryption verification results.
作为本发明的进一步方案,所述网络性能数据包括差异化通道的延迟指标、丢包率和数据传输速度,所述成本效益分析结果包括通道的运营成本、通话成功率和成本对比分析结果,所述优选网络配置包括最优通道选择和优先级设置,所述调整拨号策略包括根据网络拥塞状况和时间段差异化调整的拨号时间和通道选择策略,所述网络选择策略包括优化的网络路由和连接优先级,所述外呼加密验证结果包括智能语音外呼的加密密钥管理和验证记录、密钥有效性和加密强度验证。As a further solution of the present invention, the network performance data includes delay indicators, packet loss rates and data transmission speeds of differentiated channels, the cost-benefit analysis results include channel operating costs, call success rates and cost comparison analysis results, the preferred network configuration includes optimal channel selection and priority setting, the adjusted dialing strategy includes dialing time and channel selection strategies that are differentially adjusted according to network congestion conditions and time periods, the network selection strategy includes optimized network routing and connection priority, and the outbound call encryption verification results include encryption key management and verification records, key validity and encryption strength verification of intelligent voice outbound calls.
作为本发明的进一步方案,所述网络监控模块包括:As a further solution of the present invention, the network monitoring module includes:
网络监测子模块监测多网络通道的延迟,循环捕获差异化网络通道的延迟数据,结合智能语音外呼的时间戳进行记录,分析数据的变化趋势,生成延迟监测数据;The network monitoring submodule monitors the delay of multiple network channels, cyclically captures the delay data of differentiated network channels, records it in combination with the timestamp of intelligent voice outbound calls, analyzes the change trend of the data, and generates delay monitoring data;
数据记录子模块从所述延迟监测数据中提取关键信息,结合网络通道的丢包率和数据传输速度,识别网络通道的使用记录,生成网络传输记录;The data recording submodule extracts key information from the delay monitoring data, identifies the usage record of the network channel in combination with the packet loss rate and data transmission speed of the network channel, and generates a network transmission record;
性能分析子模块利用所述网络传输记录,对差异化网络通道使用情况的数据进行分析,多维度评估网络性能,得到网络性能数据。The performance analysis submodule uses the network transmission records to analyze the data of differentiated network channel usage, evaluates network performance in multiple dimensions, and obtains network performance data.
作为本发明的进一步方案,所述成本计算模块包括:As a further solution of the present invention, the cost calculation module includes:
成本核算子模块基于所述网络性能数据,对差异化智能语音外呼通道的运营成本进行核算,参照网络质量对成本波动的影响,计算智能语音外呼通道的运行成本,生成通道成本数据;The cost accounting submodule calculates the operating cost of the differentiated intelligent voice outbound call channel based on the network performance data, calculates the operating cost of the intelligent voice outbound call channel with reference to the impact of network quality on cost fluctuations, and generates channel cost data;
成功率分析子模块利用所述通道成本数据,分析智能语音外呼的成功率,将通话成功率与差异化通道成本关联,分析成本与成功率的关系,输出成本成功率关联数据;The success rate analysis submodule uses the channel cost data to analyze the success rate of intelligent voice outbound calls, associates the call success rate with the differentiated channel cost, analyzes the relationship between the cost and the success rate, and outputs the cost success rate association data;
效益计算子模块从所述成本成功率关联数据中提取关键指标,评估成本与成功率的最优配比,制定成本效益平衡策略,得到成本效益分析结果。The benefit calculation submodule extracts key indicators from the cost-success rate associated data, evaluates the optimal ratio of cost to success rate, formulates a cost-benefit balance strategy, and obtains a cost-benefit analysis result.
作为本发明的进一步方案,所述地理匹配模块包括:As a further solution of the present invention, the geographic matching module includes:
位置定位子模块基于所述成本效益分析结果,结合差异化用户的地理位置信息,分析区域特性和用户分布情况,评估地理位置对智能语音外呼通话的影响因素,生成地理分析数据;The location positioning submodule analyzes regional characteristics and user distribution based on the cost-benefit analysis results and the geographical location information of differentiated users, evaluates the influencing factors of geographical location on intelligent voice outbound calls, and generates geographical analysis data;
需求分析子模块利用所述地理分析数据,采用聚类算法,识别与智能语音外呼需求关联的地理区域,对用户的需求动态进行实时匹配,输出需求匹配结果;The demand analysis submodule uses the geographic analysis data and a clustering algorithm to identify the geographic areas associated with the intelligent voice outbound call demand, dynamically matches the user's demand in real time, and outputs the demand matching result;
网络配置子模块根据所述需求匹配结果,进行智能语音外呼网络的配置优化,分析最优网络通道选择,查验地理位置与网络状态最优匹配,得到优选网络配置。The network configuration submodule optimizes the configuration of the intelligent voice outbound call network according to the demand matching results, analyzes the optimal network channel selection, checks the optimal match between the geographical location and the network status, and obtains the preferred network configuration.
作为本发明的进一步方案,所述聚类算法的公式如下:As a further solution of the present invention, the formula of the clustering algorithm is as follows:
其中,为总的距离平方和,为样本的总数,为聚类的数量,为指示变量,为权重系数,为地理位置数据,为聚类中心,为用户需求强度,为需求强度中心,为时间敏感性,为时间敏感性中心,为地理距离,为需求强度距离,为时间敏感性距离。in, is the total sum of squared distances, For sample The total number of For clustering The number of is an indicator variable, is the weight coefficient, For geographic location data, is the cluster center, For the intensity of user demand, is the demand intensity center, For time sensitivity, For time-sensitive centers, is the geographical distance, is the demand intensity distance, is the time sensitivity distance.
作为本发明的进一步方案,所述时间优化模块包括:As a further solution of the present invention, the time optimization module includes:
时间分析子模块基于所述优选网络配置,分析差异化时间段的网络通道使用数据,记录每个时间段内的网络活动和用户行为模式,识别网络负载的峰值与低谷,生成所述时间使用数据;The time analysis submodule analyzes the network channel usage data of the differentiated time periods based on the preferred network configuration, records the network activities and user behavior patterns in each time period, identifies the peak and valley of the network load, and generates the time usage data;
网络状况评估子模块利用所述时间使用数据,对网络的拥塞情况进行评估,识别负载时段和通道,通过实时监控,记录网络拥塞状况,输出拥塞评估结果;The network status assessment submodule uses the time usage data to assess the network congestion, identify the load period and channel, record the network congestion status through real-time monitoring, and output the congestion assessment result;
策略制定子模块根据所述拥塞评估结果,结合用户的通话习惯和网络状态,调整智能语音外呼的时间设置和用户选择参数,优化拨号时机和频道分配,查验智能语音外呼质量和效率,得到调整拨号策略。The strategy formulation submodule adjusts the time setting and user selection parameters of the intelligent voice outbound call according to the congestion assessment results, combined with the user's calling habits and network status, optimizes the dialing timing and channel allocation, checks the quality and efficiency of the intelligent voice outbound call, and obtains an adjusted dialing strategy.
作为本发明的进一步方案,所述选择调整模块包括:As a further solution of the present invention, the selection and adjustment module includes:
策略分析子模块基于所述调整拨号策略,采用决策树算法,分析智能语音外呼行为与拨号策略的关联性,评估策略的适应性和效率,分析策略的调整需求,生成策略优化数据;The strategy analysis submodule uses a decision tree algorithm based on the adjusted dialing strategy to analyze the correlation between the intelligent voice outbound calling behavior and the dialing strategy, evaluate the adaptability and efficiency of the strategy, analyze the adjustment requirements of the strategy, and generate strategy optimization data;
网络调整子模块利用所述策略优化数据,实施网络配置的动态调整,根据实时网络性能反馈调整通道分配和网络路由,优化智能语音外呼通信质量,输出网络优化结果;The network adjustment submodule uses the strategy optimization data to implement dynamic adjustment of network configuration, adjust channel allocation and network routing according to real-time network performance feedback, optimize the quality of intelligent voice outbound call communication, and output network optimization results;
平衡点定位子模块从所述网络优化结果中提取关键性能指标,并与成本数据进行对比分析,分析成本效益的最优平衡点,验证智能语音外呼的成本与性能最优化,得到网络选择策略。The balance point positioning submodule extracts key performance indicators from the network optimization results, and compares and analyzes them with cost data, analyzes the optimal balance point of cost-effectiveness, verifies the cost and performance optimization of intelligent voice outbound calls, and obtains a network selection strategy.
作为本发明的进一步方案,所述决策树算法的公式如下:As a further solution of the present invention, the formula of the decision tree algorithm is as follows:
其中,为基尼不纯度,为节点中属于类别的概率,为类别的总数,为额外参照的属性集合,为属性集中第个属性的值,为属性集的平均值,为第个属性的权重,为权重系数,为属性集的数量。in, is the Gini impurity, For nodes belonging to the category The probability of is the total number of categories, is a collection of additional reference attributes. For attribute set Middle The value of the attribute, For attribute set The average value of For the The weight of the attribute, is the weight coefficient, For attribute set The number of
作为本发明的进一步方案,所述通话加密模块包括:As a further solution of the present invention, the call encryption module includes:
密钥分配子模块基于所述网络选择策略,为智能语音外呼通话动态分配加密密钥,并审核加密密钥使用的权限,生成加密的密钥数据;The key distribution submodule dynamically distributes encryption keys for intelligent voice outbound calls based on the network selection strategy, and reviews the authority for using the encryption keys to generate encrypted key data;
密钥监控子模块利用所述加密的密钥数据,实施密钥的实时管理和监控,更新和验证密钥的有效性,规避密钥泄露和重复使用,输出密钥管理结果;The key monitoring submodule utilizes the encrypted key data to implement real-time management and monitoring of the key, update and verify the validity of the key, avoid key leakage and reuse, and output key management results;
加密审查子模块通过所述密钥管理结果,对智能语音外呼通话进行加密验证,查验加密实施的完整性,验证通话数据的安全性和隐私保护,得到外呼加密验证结果。The encryption review submodule uses the key management results to perform encryption verification on the intelligent voice outbound calls, check the integrity of the encryption implementation, verify the security and privacy protection of the call data, and obtain the outbound encryption verification results.
与现有技术相比,本发明的优点和积极效果在于:Compared with the prior art, the advantages and positive effects of the present invention are:
本发明中,通过监测多网络通道的延迟、记录丢包率和数据传输速度,分析网络性能数据带来的优化是显著的,将智能语音外呼成功率与成本关联并进行成本效益分析,使得资源分配更加精准,提高服务质量和客户满意度。通过匹配客户地理位置和需求,结合优化后的网络配置,使得服务更加个性化且响应速度更快。调整拨号策略以适应网络通道使用情况和拥塞情况,进一步优化通话质量和成本效率。动态调整网络以捕捉成本与性能的最优平衡点,实时调整机制确保在不断变化的网络环境中,用户始终能获得最佳的服务体验,不仅减少企业运营成本,还通过定制化交流方式增强用户体验,对呼叫中心的运营产生革命性的影响。In the present invention, by monitoring the delay of multiple network channels, recording the packet loss rate and data transmission speed, and analyzing the network performance data, the optimization brought about is significant. The success rate of intelligent voice outbound calls is associated with the cost and a cost-benefit analysis is performed, so that resource allocation is more accurate and service quality and customer satisfaction are improved. By matching the customer's geographic location and needs, combined with the optimized network configuration, the service is more personalized and the response speed is faster. Adjust the dialing strategy to adapt to the network channel usage and congestion to further optimize call quality and cost efficiency. Dynamically adjust the network to capture the optimal balance between cost and performance. The real-time adjustment mechanism ensures that users can always get the best service experience in a constantly changing network environment, which not only reduces the operating costs of the enterprise, but also enhances the user experience through customized communication methods, which has a revolutionary impact on the operation of the call center.
附图说明BRIEF DESCRIPTION OF THE DRAWINGS
图1为本发明的平台流程图;FIG1 is a flow chart of the platform of the present invention;
图2为本发明的平台框架示意图;FIG2 is a schematic diagram of a platform framework of the present invention;
图3为本发明的网络监控模块流程图;FIG3 is a flow chart of a network monitoring module of the present invention;
图4为本发明的成本计算模块流程图;FIG4 is a flow chart of a cost calculation module of the present invention;
图5为本发明的地理匹配模块流程图;FIG5 is a flow chart of a geographic matching module of the present invention;
图6为本发明的时间优化模块流程图;FIG6 is a flow chart of a time optimization module of the present invention;
图7为本发明的选择调整模块流程图;FIG7 is a flow chart of the selection and adjustment module of the present invention;
图8为本发明的通话加密模块流程图。FIG8 is a flow chart of the call encryption module of the present invention.
具体实施方式DETAILED DESCRIPTION
为了使本发明的目的、技术方案及优点更加清楚明白,以下结合附图及实施例,对本发明进行进一步详细说明。应当理解,此处所描述的具体实施例仅仅用以解释本发明,并不用于限定本发明。In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.
在本发明的描述中,需要理解的是,术语“长度”、“宽度”、“上”、“下”、“前”、“后”、“左”、“右”、“竖直”、“水平”、“顶”、“底”、“内”、“外”等指示的方位或位置关系为基于附图所示的方位或位置关系,仅是为了便于描述本发明和简化描述,而不是指示或暗示所指的装置或元件必须具有特定的方位、以特定的方位构造和操作,因此不能理解为对本发明的限制。此外,在本发明的描述中,“多个”的含义是两个或两个以上,除非另有明确具体的限定。In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, "multiple" means two or more, unless otherwise clearly and specifically defined.
请参阅图1至图2,一种智能语音外呼平台包括:Referring to Figures 1 and 2, an intelligent voice outbound calling platform includes:
网络监控模块通过监测多网络通道的延迟,记录丢包率和数据传输速度,分析和记录性能指标,识别网络通道的使用记录,多维度评估网络性能,生成网络性能数据;The network monitoring module monitors the delay of multiple network channels, records the packet loss rate and data transmission speed, analyzes and records performance indicators, identifies the usage records of network channels, evaluates network performance in multiple dimensions, and generates network performance data;
成本计算模块采用网络性能数据,对差异化智能语音外呼通道的成本进行计算,并将智能语音外呼成功率与成本关联,评估成本与成功率的最优配比,输出成本效益分析结果;The cost calculation module uses network performance data to calculate the cost of differentiated intelligent voice outbound channels, and associates the success rate of intelligent voice outbound calls with the cost, evaluates the optimal ratio of cost and success rate, and outputs the cost-benefit analysis results;
地理匹配模块通过成本效益分析结果,结合客户地理位置,参照用户实时变化的需求,进行地理位置与智能语音外呼网络状态的匹配分析,输出优选网络配置;The geographic matching module uses the cost-benefit analysis results, combined with the customer's geographic location, and refers to the user's real-time changing needs to match the geographic location with the intelligent voice outbound call network status and output the optimal network configuration;
时间优化模块采用优选网络配置,根据差异化时间段的网络通道使用情况和拥塞情况,调整智能语音外呼的时间和用户选择,优化拨号时机和频道分配,构建调整拨号策略;The time optimization module adopts the optimal network configuration, adjusts the time and user selection of intelligent voice outbound calls according to the network channel usage and congestion in differentiated time periods, optimizes dialing timing and channel allocation, and builds an adjustment dialing strategy;
选择调整模块基于调整拨号策略,进行智能语音外呼网络选择的优化,通过动态调整网络,捕捉智能语音外呼成本与性能的最优平衡点,输出网络选择策略;The selection and adjustment module optimizes the selection of intelligent voice outbound call networks based on the adjusted dialing strategy. By dynamically adjusting the network, it captures the optimal balance between the cost and performance of intelligent voice outbound calls and outputs the network selection strategy.
通话加密模块根据网络选择策略,为智能语音外呼通话分配加密密钥,通过实时管理密钥的使用,规避密钥泄露和重复使用,查验通话的数据安全性,输出外呼加密验证结果。The call encryption module allocates encryption keys for intelligent voice outbound calls based on the network selection strategy, manages the use of keys in real time, avoids key leakage and reuse, verifies the data security of calls, and outputs outbound encryption verification results.
网络性能数据包括差异化通道的延迟指标、丢包率和数据传输速度,成本效益分析结果包括通道的运营成本、通话成功率和成本对比分析结果,优选网络配置包括最优通道选择和优先级设置,调整拨号策略包括根据网络拥塞状况和时间段差异化调整的拨号时间和通道选择策略,网络选择策略包括优化的网络路由和连接优先级,外呼加密验证结果包括智能语音外呼的加密密钥管理和验证记录、密钥有效性和加密强度验证。Network performance data includes delay indicators, packet loss rate and data transmission speed of differentiated channels. Cost-benefit analysis results include channel operating costs, call success rate and cost comparison analysis results. Optimal network configuration includes optimal channel selection and priority setting. Adjustment of dialing strategy includes dialing time and channel selection strategy adjusted according to network congestion conditions and time periods. Network selection strategy includes optimized network routing and connection priority. Outbound call encryption verification results include encryption key management and verification records, key validity and encryption strength verification of intelligent voice outbound calls.
请参阅图2、3,网络监控模块包括:Please refer to Figures 2 and 3. The network monitoring module includes:
网络监测子模块监测多网络通道的延迟,循环捕获差异化网络通道的延迟数据,结合智能语音外呼的时间戳进行记录,分析数据的变化趋势,生成延迟监测数据的执行流程如下;The network monitoring submodule monitors the delay of multiple network channels, cyclically captures the delay data of differentiated network channels, records it in combination with the timestamp of intelligent voice outbound calls, analyzes the change trend of the data, and generates the execution process of delay monitoring data as follows;
网络监测子模块监测多网络通道的延迟,确保网络通信的连续性和效率,循环捕获各网络通道的延迟数据,并结合智能语音外呼平台的时间戳进行记录。通过分析数据,可以识别网络延迟的变化趋势和潜在的网络瓶颈,帮助网络管理者及时调整网络配置或增强网络容量。通过长期监测和数据分析,可以预测未来的网络延迟问题,为网络维护提供科学依据,生成延迟监测数据,采用公式为:The network monitoring submodule monitors the delay of multiple network channels to ensure the continuity and efficiency of network communication. It cyclically captures the delay data of each network channel and records it in combination with the timestamp of the intelligent voice outbound call platform. By analyzing the data, it is possible to identify the changing trend of network delay and potential network bottlenecks, helping network managers to adjust network configuration or enhance network capacity in a timely manner. Through long-term monitoring and data analysis, future network delay problems can be predicted, providing a scientific basis for network maintenance and generating delay monitoring data. The formula used is:
其中,表示延迟监测数据,表示第个网络通道的延迟,为网络通道的数量,是相应的时间戳。in, Indicates delayed monitoring data, Indicates The delay of a network channel, is the number of network channels, is the corresponding timestamp.
数据记录子模块从延迟监测数据中提取关键信息,结合网络通道的丢包率和数据传输速度,识别网络通道的使用记录,生成网络传输记录的执行流程如下;The data recording submodule extracts key information from the delay monitoring data, combines the packet loss rate and data transmission speed of the network channel, identifies the usage record of the network channel, and generates the execution process of the network transmission record as follows;
数据记录子模块从延迟监测数据中提取关键信息,并结合网络通道的丢包率和数据传输速度来识别各网络通道的使用情况,记录和分析网络的性能指标,如延迟、丢包率和吞吐量,以识别网络的稳定性和效率。通过数据,可以更好地理解网络在不同条件下的表现,并为网络优化提供实证数据,生成网络传输记录,采用公式为:The data recording submodule extracts key information from the delay monitoring data, and combines the packet loss rate and data transmission speed of the network channel to identify the usage of each network channel, record and analyze the performance indicators of the network, such as delay, packet loss rate and throughput, to identify the stability and efficiency of the network. Through the data, we can better understand the performance of the network under different conditions, and provide empirical data for network optimization, generate network transmission records, and use the formula:
其中,表示网络传输记录,是第个通道的延迟数据,为通道的数量,是丢包率,是数据传输速度。in, Indicates network transmission records. It is Delayed data for each channel, is the number of channels, is the packet loss rate, is the data transfer speed.
性能分析子模块利用网络传输记录,对差异化网络通道使用情况的数据进行分析,多维度评估网络性能,得到网络性能数据的执行流程如下;The performance analysis submodule uses network transmission records to analyze the data of differentiated network channel usage, evaluates network performance in multiple dimensions, and obtains the execution process of network performance data as follows;
性能分析子模块利用网络传输记录,对不同网络通道的使用情况进行深入分析,多维度评估网络性能,分析各通道的性能数据,如延迟、丢包率和吞吐量,以识别网络性能的强项和弱点。通过多维度的评估,可以揭示网络在不同场景下的表现,帮助管理员优化网络配置和提高网络的整体性能,得到网络性能数据,采用公式为:The performance analysis submodule uses network transmission records to conduct in-depth analysis of the usage of different network channels, evaluate network performance in multiple dimensions, and analyze the performance data of each channel, such as latency, packet loss rate, and throughput, to identify the strengths and weaknesses of network performance. Through multi-dimensional evaluation, the performance of the network in different scenarios can be revealed, helping administrators optimize network configuration and improve the overall performance of the network, and obtaining network performance data using the formula:
其中,表示网络性能数据,是通道的数量,和分别代表第个通道的延迟、丢包率和数据传输速度。in, Represents network performance data, is the number of channels, and Respectively represent The latency, packet loss rate, and data transmission speed of each channel.
请参阅图2、4,成本计算模块包括:Please refer to Figures 2 and 4. The cost calculation module includes:
成本核算子模块基于网络性能数据,对差异化智能语音外呼通道的运营成本进行核算,参照网络质量对成本波动的影响,计算智能语音外呼通道的运行成本,生成通道成本数据的执行流程如下;The cost accounting submodule calculates the operating cost of the differentiated intelligent voice outbound call channel based on the network performance data, and refers to the impact of network quality on cost fluctuations to calculate the operating cost of the intelligent voice outbound call channel. The execution process of generating channel cost data is as follows;
成本核算子模块基于网络性能数据,对智能语音外呼通道的运营成本进行详细核算,评估不同网络通道的性能,包括延迟、丢包率和数据传输速度,以及因素如何影响运营成本。通过分析网络质量和成本的关系,能够识别通道由于低效的网络性能而导致成本增加。还会计算维护高质量网络所需的投资与潜在的成本节约之间的关系,帮助决策者制定更经济有效的网络运营策略,生成通道成本数据,采用公式为:The cost accounting submodule calculates the operating costs of the intelligent voice outbound channel in detail based on network performance data, evaluates the performance of different network channels, including latency, packet loss rate, and data transmission speed, and how these factors affect operating costs. By analyzing the relationship between network quality and cost, it is possible to identify channels where cost increases are caused by inefficient network performance. It also calculates the relationship between the investment required to maintain a high-quality network and the potential cost savings, helping decision makers develop more cost-effective network operation strategies and generate channel cost data using the formula:
其中,表示智能语音外呼通道的运行成本,是通道的数量,是第个通道的单元运营成本,是第个通道的网络质量指标。in, Indicates the operating cost of the intelligent voice outbound channel. is the number of channels, It is The unit operating cost of each channel is It is The network quality indicator of each channel.
成功率分析子模块利用通道成本数据,分析智能语音外呼的成功率,将通话成功率与差异化通道成本关联,分析成本与成功率的关系,输出成本成功率关联数据的执行流程如下;The success rate analysis submodule uses channel cost data to analyze the success rate of intelligent voice outbound calls, associates the call success rate with differentiated channel costs, analyzes the relationship between cost and success rate, and outputs the execution process of cost success rate association data as follows;
成功率分析子模块利用通道成本数据,分析智能语音外呼的成功率,并探索通话成功率与差异化通道成本之间的关系,通过将通道的成本与通话成功率相结合,能够识别成本效率最高和最低的通道,为优化资源分配和成本管理提供数据支持。帮助揭示如何通过改善网络性能或调整资源分配来提高整体成功率,输出成本成功率关联数据,采用公式为:The success rate analysis submodule uses channel cost data to analyze the success rate of intelligent voice outbound calls and explore the relationship between call success rate and differentiated channel costs. By combining channel costs with call success rates, it is possible to identify the channels with the highest and lowest cost efficiency, providing data support for optimizing resource allocation and cost management. It helps reveal how to improve the overall success rate by improving network performance or adjusting resource allocation, and outputs cost-success rate correlation data, using the formula:
其中,表示成本成功率关联数据,是通道的数量,是第个通道的成功率,是相应的运行成本。in, Represents cost success rate associated data, is the number of channels, It is The success rate of each channel, is the corresponding operating cost.
效益计算子模块从成本成功率关联数据中提取关键指标,评估成本与成功率的最优配比,制定成本效益平衡策略,得到成本效益分析结果的执行流程如下;The benefit calculation submodule extracts key indicators from the cost-success rate correlation data, evaluates the optimal ratio of cost and success rate, formulates a cost-benefit balance strategy, and obtains the execution process of the cost-benefit analysis results as follows;
效益计算子模块从成本成功率关联数据中提取关键指标,评估成本与成功率的最优配比,使用数据来制定成本效益平衡策略,旨在最大化投资回报。通过比较不同通道的成本效益比,能够推荐最佳的资源配置和预算分配策略,以提高整体操作效率和客户满意度,得到成本效益分析结果,采用公式为:The benefit calculation submodule extracts key indicators from the cost-success rate correlation data, evaluates the optimal ratio of cost to success rate, and uses the data to develop a cost-benefit balance strategy to maximize return on investment. By comparing the cost-benefit ratios of different channels, it is possible to recommend the best resource configuration and budget allocation strategy to improve overall operational efficiency and customer satisfaction, and obtain the cost-benefit analysis results using the formula:
其中,表示成本效益分析结果,和分别代表第个通道的成功率的益处和相应的成本。in, The results of cost-benefit analysis are shown in and Respectively represent The benefits and corresponding costs of the success rate of each channel.
请参阅图2、5,地理匹配模块包括:Please refer to Figures 2 and 5. The geographic matching module includes:
位置定位子模块基于成本效益分析结果,结合差异化用户的地理位置信息,分析区域特性和用户分布情况,评估地理位置对智能语音外呼通话的影响因素,生成地理分析数据的执行流程如下;The location positioning submodule is based on the cost-benefit analysis results, combined with the geographical location information of differentiated users, analyzes regional characteristics and user distribution, evaluates the factors affecting the geographical location on intelligent voice outbound calls, and generates the execution process of geographical analysis data as follows;
位置定位子模块基于成本效益分析结果,并结合差异化用户的地理位置信息来评估地理位置对智能语音外呼通话的影响因素,深入分析区域特性和用户分布情况,识别特定地理位置如何影响通话成功率和成本效益。通过分析,能够提供有关如何调整服务策略以适应特定区域需求的见解。帮助决策者理解地域因素对服务效率的具体影响,并促进更针对性的资源配置和服务优化,生成地理分析数据,采用公式为:The location positioning submodule evaluates the factors affecting the outbound intelligent voice calls based on the cost-benefit analysis results and the location information of differentiated users. It deeply analyzes the regional characteristics and user distribution and identifies how specific locations affect the call success rate and cost-effectiveness. Through analysis, it can provide insights on how to adjust service strategies to meet the needs of specific regions. It helps decision makers understand the specific impact of geographical factors on service efficiency and promotes more targeted resource allocation and service optimization. It generates geographic analysis data using the formula:
其中,表示地理分析数据,是区域数量,是第个区域的地理位置标识,是地理位置的用户分布密度,是与地区相关的成本效益数据。in, Represents geographic analysis data, is the number of regions, It is The geographical location identifier of the region, is the user distribution density at the geographic location, are cost-effectiveness figures relevant to the region.
需求分析子模块利用地理分析数据,采用聚类算法,识别与智能语音外呼需求关联的地理区域,对用户的需求动态进行实时匹配,输出需求匹配结果的执行流程如下;The demand analysis submodule uses geographic analysis data and a clustering algorithm to identify geographic areas associated with intelligent voice outbound call demand, dynamically matches user demand in real time, and outputs the demand matching results. The execution process is as follows;
需求分析子模块利用地理分析数据,并采用聚类算法来识别与智能语音外呼需求紧密关联的地理区域,将地理区域按需求特性进行分类,实现用户需求的动态匹配。有助于优化服务分配,确保资源在地理上得到最有效的利用。通过实时跟踪和分析用户需求的地理分布,能够提供更为精确的服务调整建议,输出需求匹配结果。The demand analysis submodule uses geographic analysis data and a clustering algorithm to identify geographic areas that are closely related to intelligent voice outbound call demand, classify geographic areas according to demand characteristics, and achieve dynamic matching of user needs. This helps optimize service allocation and ensure that resources are used most effectively geographically. By tracking and analyzing the geographic distribution of user needs in real time, it can provide more accurate service adjustment suggestions and output demand matching results.
聚类算法的公式如下:The formula of the clustering algorithm is as follows:
其中,为总的距离平方和,为样本的总数,为聚类的数量,为指示变量,为权重系数,为地理位置数据,为聚类中心,为用户需求强度,为需求强度中心,为时间敏感性,为时间敏感性中心,为地理距离,为需求强度距离,为时间敏感性距离。in, is the total sum of squared distances, For sample The total number of For clustering The number of is an indicator variable, is the weight coefficient, For geographic location data, is the cluster center, For the intensity of user demand, is the demand intensity center, For time sensitivity, For time-sensitive centers, is the geographical distance, is the demand intensity distance, is the time sensitivity distance.
执行流程如下:The execution flow is as follows:
选择地理位置数据、用户需求强度和时间敏感性作为样本点集合的特征,确定聚类数量、初始化聚类中心、需求强度中心和时间敏感性中心,对于每个样本点,计算并分配到最近的聚类中心,基于加权的综合距离,权重系数通过优化算法如网格搜索确定,以确保各特征的重要性得到适当的体现,更新,更新每个聚类的中心点,使得最小化,重复上述过程,直到聚类中心不再变化或达到预设的迭代次数,输出每个地理区域所属的需求类别以及与各聚类中心的距离,实时匹配用户需求与地理位置。Select Geolocation Data , User demand intensity and time sensitivity As a feature of the sample point set, determine the number of clusters , Initialize cluster centers , Demand Intensity Center and time-sensitive centers , for each sample point, calculate and assign it to the nearest cluster center based on the weighted comprehensive distance, weight coefficient Determined by optimization algorithms such as grid search to ensure that the importance of each feature is appropriately reflected, update , update the center point of each cluster , so that Minimize and repeat the above process until the cluster center no longer changes or the preset number of iterations is reached, output the demand category to which each geographic area belongs and the distance to each cluster center, and match user needs with geographic location in real time.
网络配置子模块根据需求匹配结果,进行智能语音外呼网络的配置优化,分析最优网络通道选择,查验地理位置与网络状态最优匹配,得到优选网络配置的执行流程如下;The network configuration submodule optimizes the configuration of the intelligent voice outbound call network according to the demand matching results, analyzes the optimal network channel selection, checks the optimal match between the geographical location and the network status, and obtains the execution process of the optimal network configuration as follows;
网络配置子模块根据需求匹配结果,进行智能语音外呼网络的配置优化,分析最优网络通道选择,确保地理位置与网络状态的最佳匹配。通过评估各个网络通道的性能和成本效益,以及与地理位置的关联,能够推荐最适合的网络配置策略,有助于提升通话质量和降低运营成本,得到优选网络配置,采用公式为:The network configuration submodule optimizes the configuration of the intelligent voice outbound call network based on the demand matching results, analyzes the optimal network channel selection, and ensures the best match between the geographical location and the network status. By evaluating the performance and cost-effectiveness of each network channel and its association with the geographical location, it can recommend the most suitable network configuration strategy, which helps to improve call quality and reduce operating costs, and obtain the optimal network configuration. The formula used is:
其中,表示优选网络配置结果,是通道的数量,是第个通道的服务质量得分,是通道的性能与成本效益比。in, Indicates the optimal network configuration result. is the number of channels, It is The service quality score of each channel, It is the performance and cost-effectiveness ratio of the channel.
请参阅图2、6,时间优化模块包括:Please refer to Figures 2 and 6. The time optimization module includes:
时间分析子模块基于优选网络配置,分析差异化时间段的网络通道使用数据,记录每个时间段内的网络活动和用户行为模式,识别网络负载的峰值与低谷,生成时间使用数据的执行流程如下;The time analysis submodule analyzes the network channel usage data of differentiated time periods based on the optimal network configuration, records the network activities and user behavior patterns in each time period, identifies the peaks and valleys of network load, and generates the execution flow of time usage data as follows;
时间分析子模块基于优选网络配置,深入分析差异化时间段内的网络通道使用数据,不断记录每个时间段内的网络活动和用户行为模式,提供详尽的数据以识别网络负载的峰值与低谷。时间段分析有助于理解在特定时段内网络通道的表现,能够预测和准备必要的资源调配,以应对预期的高负载,生成时间使用数据,采用公式为:The time analysis submodule is based on the optimal network configuration, deeply analyzes the network channel usage data in differentiated time periods, continuously records the network activities and user behavior patterns in each time period, and provides detailed data to identify the peaks and valleys of network load. Time period analysis helps to understand the performance of network channels in a specific period of time, and can predict and prepare the necessary resource allocation to cope with the expected high load, and generate time usage data. The formula used is:
其中,表示时间使用数据,是小时数的总量,是第个小时内的活动水平,是同一时间段内的用户行为数据。in, Represents time usage data, is the total number of hours, It is Activity level during the hour It is the user behavior data within the same time period.
网络状况评估子模块利用时间使用数据,对网络的拥塞情况进行评估,识别负载时段和通道,通过实时监控,记录网络拥塞状况,输出拥塞评估结果的执行流程如下;The network status assessment submodule uses time usage data to assess the network congestion, identify load periods and channels, and record network congestion status through real-time monitoring and output the congestion assessment results. The execution process is as follows;
网络状况评估子模块利用时间使用数据,对网络的拥塞情况进行精确评估,通过实时监控和记录网络的拥塞状况,识别出负载高峰时段和相关的通道,有助于及时发现和解决网络拥堵问题,确保通信渠道的畅通无阻,输出拥塞评估结果,采用公式为:The network status assessment submodule uses time usage data to accurately assess the network congestion. By real-time monitoring and recording the network congestion status, it identifies the peak load period and related channels, which helps to timely discover and solve network congestion problems, ensure the smooth flow of communication channels, and output the congestion assessment results. The formula used is:
其中,表示拥塞评估结果,是时间段的数量,是时间段内的网络负载,是时间段内的通道容量。in, Indicates the congestion assessment result. is the number of time periods, It is the time period The network load within is the channel capacity during the time period.
策略制定子模块根据拥塞评估结果,结合用户的通话习惯和网络状态,调整智能语音外呼的时间设置和用户选择参数,优化拨号时机和频道分配,查验智能语音外呼质量和效率,得到调整拨号策略的执行流程如下;The strategy formulation submodule adjusts the time setting and user selection parameters of intelligent voice outbound calls according to the congestion assessment results, combined with the user's calling habits and network status, optimizes the dialing timing and channel allocation, and checks the quality and efficiency of intelligent voice outbound calls. The execution process of adjusting the dialing strategy is as follows;
策略制定子模块根据拥塞评估结果,结合用户的通话习惯和网络状态,调整智能语音外呼的时间设置和用户选择参数,通过优化拨号时机和频道分配,提高智能语音外呼的质量和效率。通过策略调整,可以减少拥塞时段的通话尝试,提升用户体验和服务的整体响应性,得到调整拨号策略,采用公式为:The strategy formulation submodule adjusts the time setting and user selection parameters of intelligent voice outbound calls based on the congestion assessment results, combined with the user's calling habits and network status, and improves the quality and efficiency of intelligent voice outbound calls by optimizing dialing timing and channel allocation. Through strategy adjustment, call attempts during congestion periods can be reduced, user experience and overall service responsiveness can be improved, and the dialing strategy can be adjusted. The formula used is:
其中,表示调整后的拨号策略,是频道的数量,是优化后的拨号时机参数,是频道分配参数。in, Indicates the adjusted dialing strategy. Yes Channel The number of is the optimized dialing timing parameter, is the channel allocation parameter.
请参阅图2、7,选择调整模块包括:Please refer to Figures 2 and 7, the selection and adjustment modules include:
策略分析子模块基于调整拨号策略,采用决策树算法,分析智能语音外呼行为与拨号策略的关联性,评估策略的适应性和效率,分析策略的调整需求,生成策略优化数据的执行流程如下;The strategy analysis submodule uses a decision tree algorithm to adjust the dialing strategy, analyze the correlation between the intelligent voice outbound calling behavior and the dialing strategy, evaluate the adaptability and efficiency of the strategy, analyze the adjustment needs of the strategy, and generate the execution process of strategy optimization data as follows;
策略分析子模块基于调整拨号策略,采用决策树算法来分析智能语音外呼行为与拨号策略的关联性,使用决策树算法对智能语音外呼数据进行分析,识别不同拨号策略对成功率和响应时间的影响。通过分析,评估现有拨号策略的适应性和效率,确定是否需要进行策略调整,生成策略优化数据。The strategy analysis submodule uses a decision tree algorithm to analyze the correlation between intelligent voice outbound calling behavior and dialing strategy based on adjusting the dialing strategy. It also uses a decision tree algorithm to analyze the intelligent voice outbound calling data and identify the impact of different dialing strategies on success rate and response time. Through analysis, the adaptability and efficiency of the existing dialing strategy are evaluated to determine whether strategy adjustment is needed and generate strategy optimization data.
决策树算法的公式如下:The formula for the decision tree algorithm is as follows:
其中,为基尼不纯度,为节点中属于类别的概率,为类别的总数,为额外参照的属性集合,为属性集中第个属性的值,为属性集的平均值,为第个属性的权重,为权重系数,为属性集的数量。in, is the Gini impurity, For nodes belonging to the category The probability of is the total number of categories, is a collection of additional reference attributes. For attribute set Middle The value of the attribute, For attribute set The average value of For the The weight of the attribute, is the weight coefficient, For attribute set The number of
执行流程如下:The execution flow is as follows:
确定当前节点,选定分割属性,计算每个类别在当前节点中的概率,得到原始基尼不纯度,对于额外的属性集,计算每个属性相对于平均值的绝对偏差,并乘以权重,将偏差求和,得到属性分散度的加权和,使用系数来平衡基尼不纯度和属性分散度的影响,计算值,确定权重系数的值,通过交叉验证或AIC(赤池信息量)准则来确定,以确保模型的泛化能力和准确性,整体计算出节点改进后的基尼不纯度。Determine the current node, select the split attribute, and calculate each category The probability of being in the current node , we get the original Gini impurity, for the additional attribute set , calculate each attribute Relative to the average The absolute deviation of , sum the deviations to get the weighted sum of attribute dispersion, and use the coefficient To balance the impact of Gini impurity and attribute dispersion, calculate Value, determine the weight coefficient The value of is determined by cross-validation or AIC (Akaike Information Content) criterion to ensure the generalization ability and accuracy of the model, and the Gini impurity of the node after improvement is calculated as a whole.
网络调整子模块利用策略优化数据,实施网络配置的动态调整,根据实时网络性能反馈调整通道分配和网络路由,优化智能语音外呼通信质量,输出网络优化结果的执行流程如下;The network adjustment submodule uses strategy optimization data to implement dynamic adjustment of network configuration, adjusts channel allocation and network routing according to real-time network performance feedback, optimizes the quality of intelligent voice outbound communication, and outputs the execution process of network optimization results as follows;
网络调整子模块利用策略优化数据,实施网络配置的动态调整,根据实时网络性能反馈,动态调整通道分配和网络路由。调整旨在优化智能语音外呼的通信质量,确保数据传输的高效和稳定。通过持续监控网络状态并调整网络配置,输出网络优化结果,采用公式为:The network adjustment submodule uses strategy optimization data to implement dynamic adjustments to network configurations. It dynamically adjusts channel allocation and network routing based on real-time network performance feedback. The adjustment is designed to optimize the communication quality of intelligent voice outbound calls and ensure efficient and stable data transmission. By continuously monitoring the network status and adjusting the network configuration, the network optimization results are output. The formula used is:
其中,表示网络优化得分,是指标的总数,是网络性能指标,是延迟指标,和是权重因子。in, represents the network optimization score, Is an indicator The total number of is a network performance indicator, is the latency indicator, and is the weight factor.
平衡点定位子模块从网络优化结果中提取关键性能指标,并与成本数据进行对比分析,分析成本效益的最优平衡点,验证智能语音外呼的成本与性能最优化,得到网络选择策略的执行流程如下;The balance point positioning submodule extracts key performance indicators from the network optimization results and compares and analyzes them with the cost data to analyze the optimal balance point of cost-effectiveness, verify the cost and performance optimization of intelligent voice outbound calls, and obtain the execution process of the network selection strategy as follows;
平衡点定位子模块从网络优化结果中提取关键性能指标,并与成本数据进行对比分析,平台分析成本效益的最优平衡点,以验证智能语音外呼的成本与性能最优化,平台能够找到在成本和性能之间最佳的操作点,使智能语音外呼平台运行在最经济有效的状态,得到网络选择策略,The balance point positioning submodule extracts key performance indicators from the network optimization results and compares and analyzes them with the cost data. The platform analyzes the optimal balance point of cost-effectiveness to verify the cost and performance optimization of intelligent voice outbound calling. The platform can find the best operating point between cost and performance, so that the intelligent voice outbound calling platform can operate in the most economical and effective state and obtain the network selection strategy.
其中,表示成本效益平衡点,是性能指标,是成本指标,是考虑的参数的总数。in, represents the cost-benefit balance point, is a performance indicator, is a cost indicator, The parameters considered The total number of .
请参阅图2、8,通话加密模块包括:Please refer to Figures 2 and 8, the call encryption module includes:
密钥分配子模块基于网络选择策略,为智能语音外呼通话动态分配加密密钥,并审核加密密钥使用的权限,生成加密的密钥数据的执行流程如下;The key distribution submodule dynamically distributes encryption keys for intelligent voice outbound calls based on the network selection strategy, and reviews the permissions for using encryption keys. The execution process for generating encrypted key data is as follows;
密钥分配子模块基于网络选择策略,为智能语音外呼通话动态分配加密密钥,平台根据网络选择策略确定合适的密钥类型和长度,以适应不同网络条件下的安全需求,动态生成加密密钥,并审核密钥使用的权限,确保密钥只被授权的用户和设备使用,生成加密的密钥数据。The key distribution submodule dynamically allocates encryption keys for intelligent voice outbound calls based on the network selection strategy. The platform determines the appropriate key type and length based on the network selection strategy to adapt to security requirements under different network conditions, dynamically generates encryption keys, and reviews the key usage permissions to ensure that the keys are only used by authorized users and devices to generate encrypted key data.
密钥监控子模块利用加密的密钥数据,实施密钥的实时管理和监控,更新和验证密钥的有效性,规避密钥泄露和重复使用,输出密钥管理结果的执行流程如下;The key monitoring submodule uses encrypted key data to implement real-time key management and monitoring, update and verify the validity of keys, avoid key leakage and reuse, and output the key management results. The execution process is as follows;
密钥监控子模块利用加密的密钥数据,实施密钥的实时管理和监控,平台不断更新和验证密钥的有效性,确保密钥未被非法复制或泄露。通过实时监控密钥的使用情况,平台可以及时发现任何异常活动,规避密钥泄露和重复使用的风险,输出密钥管理结果,采用公式为:The key monitoring submodule uses encrypted key data to implement real-time management and monitoring of keys. The platform continuously updates and verifies the validity of keys to ensure that keys are not illegally copied or leaked. By real-time monitoring of key usage, the platform can promptly detect any abnormal activities, avoid the risk of key leakage and reuse, and output key management results using the formula:
其中,表示密钥的监控状态,是第个密钥的权重,是指示函数,是密钥,是密钥的有效时间是监控的密钥总数。in, Indicates the monitoring status of the key. It is The weight of the key, is the indicator function, is the key, Is the validity period of the key is the total number of keys monitored.
加密审查子模块通过密钥管理结果,对智能语音外呼通话进行加密验证,查验加密实施的完整性,验证通话数据的安全性和隐私保护,得到外呼加密验证结果的执行流程如下;The encryption review submodule uses the key management results to perform encryption verification on the intelligent voice outbound call, check the integrity of the encryption implementation, and verify the security and privacy protection of the call data. The execution process of obtaining the outbound encryption verification result is as follows;
加密审查子模块通过密钥管理结果,对智能语音外呼通话进行加密验证,平台检查加密实施的完整性,确保每次通话的加密过程符合安全标准。平台还会验证通话数据的安全性和隐私保护,确认数据在传输过程中未被篡改或泄露,通过一系列的验证,平台得到外呼加密验证结果。The encryption review submodule performs encryption verification on the intelligent voice outbound calls through the key management results. The platform checks the integrity of the encryption implementation to ensure that the encryption process of each call meets the security standards. The platform also verifies the security and privacy protection of the call data and confirms that the data has not been tampered with or leaked during transmission. After a series of verifications, the platform obtains the outbound encryption verification results.
以上,仅是本发明的较佳实施例而已,并非对本发明作其他形式的限制,任何熟悉本专业的技术人员可能利用上述揭示的技术内容加以变更或改型为等同变化的等效实施例应用于其他领域,但是凡是未脱离本发明技术方案内容,依据本发明的技术实质对以上实施例所做的任何简单修改、等同变化与改型,仍属于本发明技术方案的保护范围。The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.
Claims (10)
1.一种智能语音外呼平台,其特征在于,所述平台包括:1. An intelligent voice outbound calling platform, characterized in that the platform comprises: 网络监控模块通过监测多网络通道的延迟,记录丢包率和数据传输速度,分析和记录性能指标,生成网络性能数据;The network monitoring module generates network performance data by monitoring the delay of multiple network channels, recording the packet loss rate and data transmission speed, analyzing and recording performance indicators; 成本计算模块采用所述网络性能数据,对差异化智能语音外呼通道的成本进行计算,并将智能语音外呼成功率与成本关联,输出成本效益分析结果;The cost calculation module uses the network performance data to calculate the cost of the differentiated intelligent voice outbound call channel, associates the intelligent voice outbound call success rate with the cost, and outputs a cost-benefit analysis result; 地理匹配模块通过所述成本效益分析结果,结合客户地理位置,参照用户实时变化的需求,进行地理位置与智能语音外呼网络状态的匹配分析,输出优选网络配置;The geographic matching module uses the cost-benefit analysis results, combines the customer's geographic location, and refers to the user's real-time changing needs to perform a matching analysis between the geographic location and the intelligent voice outbound call network status, and outputs the optimal network configuration; 时间优化模块采用所述优选网络配置,根据差异化时间段的网络通道使用情况和拥塞情况,调整智能语音外呼的时间和用户选择,构建调整拨号策略;The time optimization module adopts the preferred network configuration, adjusts the time and user selection of intelligent voice outbound calls according to the network channel usage and congestion in differentiated time periods, and constructs an adjustment dialing strategy; 选择调整模块基于所述调整拨号策略,进行智能语音外呼网络选择的优化,通过动态调整网络,捕捉智能语音外呼成本与性能的最优平衡点,输出网络选择策略;The selection adjustment module optimizes the selection of the intelligent voice outbound call network based on the adjusted dialing strategy, captures the optimal balance point between the cost and performance of the intelligent voice outbound call by dynamically adjusting the network, and outputs the network selection strategy; 通话加密模块根据所述网络选择策略,为智能语音外呼通话分配加密密钥,通过实时管理密钥的使用,查验通话的数据安全性,输出外呼加密验证结果。The call encryption module allocates encryption keys for intelligent voice outbound calls according to the network selection strategy, verifies the data security of the calls by managing the use of the keys in real time, and outputs the outbound encryption verification results. 2.根据权利要求1所述的智能语音外呼平台,其特征在于,所述网络性能数据包括差异化通道的延迟指标、丢包率和数据传输速度,所述成本效益分析结果包括通道的运营成本、通话成功率和成本对比分析结果,所述优选网络配置包括最优通道选择和优先级设置,所述调整拨号策略包括根据网络拥塞状况和时间段差异化调整的拨号时间和通道选择策略,所述网络选择策略包括优化的网络路由和连接优先级,所述外呼加密验证结果包括智能语音外呼的加密密钥管理和验证记录、密钥有效性和加密强度验证。2. The intelligent voice outbound call platform according to claim 1 is characterized in that the network performance data includes delay indicators, packet loss rates and data transmission speeds of differentiated channels, the cost-benefit analysis results include channel operating costs, call success rates and cost comparison analysis results, the preferred network configuration includes optimal channel selection and priority setting, the adjusted dialing strategy includes dialing time and channel selection strategies that are differentially adjusted according to network congestion conditions and time periods, the network selection strategy includes optimized network routing and connection priority, and the outbound call encryption verification results include encryption key management and verification records, key validity and encryption strength verification of intelligent voice outbound calls. 3.根据权利要求1所述的智能语音外呼平台,其特征在于,所述网络监控模块包括:3. The intelligent voice outbound calling platform according to claim 1, characterized in that the network monitoring module comprises: 网络监测子模块监测多网络通道的延迟,循环捕获差异化网络通道的延迟数据,结合智能语音外呼的时间戳进行记录,分析数据的变化趋势,生成延迟监测数据;The network monitoring submodule monitors the delay of multiple network channels, cyclically captures the delay data of differentiated network channels, records it in combination with the timestamp of intelligent voice outbound calls, analyzes the change trend of the data, and generates delay monitoring data; 数据记录子模块从所述延迟监测数据中提取关键信息,结合网络通道的丢包率和数据传输速度,识别网络通道的使用记录,生成网络传输记录;The data recording submodule extracts key information from the delay monitoring data, identifies the usage record of the network channel in combination with the packet loss rate and data transmission speed of the network channel, and generates a network transmission record; 性能分析子模块利用所述网络传输记录,对差异化网络通道使用情况的数据进行分析,多维度评估网络性能,得到网络性能数据。The performance analysis submodule uses the network transmission records to analyze the data of differentiated network channel usage, evaluates network performance in multiple dimensions, and obtains network performance data. 4.根据权利要求1所述的智能语音外呼平台,其特征在于,所述成本计算模块包括:4. The intelligent voice outbound calling platform according to claim 1, characterized in that the cost calculation module comprises: 成本核算子模块基于所述网络性能数据,对差异化智能语音外呼通道的运营成本进行核算,参照网络质量对成本波动的影响,计算智能语音外呼通道的运行成本,生成通道成本数据;The cost accounting submodule calculates the operating cost of the differentiated intelligent voice outbound call channel based on the network performance data, calculates the operating cost of the intelligent voice outbound call channel with reference to the impact of network quality on cost fluctuations, and generates channel cost data; 成功率分析子模块利用所述通道成本数据,分析智能语音外呼的成功率,将通话成功率与差异化通道成本关联,分析成本与成功率的关系,输出成本成功率关联数据;The success rate analysis submodule uses the channel cost data to analyze the success rate of intelligent voice outbound calls, associates the call success rate with the differentiated channel cost, analyzes the relationship between the cost and the success rate, and outputs the cost success rate association data; 效益计算子模块从所述成本成功率关联数据中提取关键指标,评估成本与成功率的最优配比,制定成本效益平衡策略,得到成本效益分析结果。The benefit calculation submodule extracts key indicators from the cost-success rate associated data, evaluates the optimal ratio of cost to success rate, formulates a cost-benefit balance strategy, and obtains a cost-benefit analysis result. 5.根据权利要求1所述的智能语音外呼平台,其特征在于,所述地理匹配模块包括:5. The intelligent voice outbound calling platform according to claim 1, wherein the geographic matching module comprises: 位置定位子模块基于所述成本效益分析结果,结合差异化用户的地理位置信息,分析区域特性和用户分布情况,评估地理位置对智能语音外呼通话的影响因素,生成地理分析数据;The location positioning submodule analyzes regional characteristics and user distribution based on the cost-benefit analysis results and the geographical location information of differentiated users, evaluates the influencing factors of geographical location on intelligent voice outbound calls, and generates geographical analysis data; 需求分析子模块利用所述地理分析数据,采用聚类算法,识别与智能语音外呼需求关联的地理区域,对用户的需求动态进行实时匹配,输出需求匹配结果;The demand analysis submodule uses the geographic analysis data and a clustering algorithm to identify the geographic areas associated with the intelligent voice outbound call demand, dynamically matches the user's demand in real time, and outputs the demand matching result; 网络配置子模块根据所述需求匹配结果,进行智能语音外呼网络的配置优化,分析最优网络通道选择,查验地理位置与网络状态最优匹配,得到优选网络配置。The network configuration submodule optimizes the configuration of the intelligent voice outbound call network according to the demand matching results, analyzes the optimal network channel selection, checks the optimal match between the geographical location and the network status, and obtains the preferred network configuration. 6.根据权利要求5所述的智能语音外呼平台,其特征在于,所述聚类算法的公式如下:6. The intelligent voice outbound calling platform according to claim 5, characterized in that the formula of the clustering algorithm is as follows: 其中,为总的距离平方和,为样本的总数,为聚类的数量,为指示变量,为权重系数,为地理位置数据,为聚类中心,为用户需求强度,为需求强度中心,为时间敏感性,为时间敏感性中心,为地理距离,为需求强度距离,为时间敏感性距离。in, is the total sum of squared distances, For sample The total number of For clustering The number of is an indicator variable, is the weight coefficient, For geographic location data, is the cluster center, For the intensity of user demand, is the demand intensity center, For time sensitivity, For time-sensitive centers, is the geographical distance, is the demand intensity distance, is the time sensitivity distance. 7.根据权利要求1所述的智能语音外呼平台,其特征在于,所述时间优化模块包括:7. The intelligent voice outbound calling platform according to claim 1, characterized in that the time optimization module comprises: 时间分析子模块基于所述优选网络配置,分析差异化时间段的网络通道使用数据,记录每个时间段内的网络活动和用户行为模式,识别网络负载的峰值与低谷,生成所述时间使用数据;The time analysis submodule analyzes the network channel usage data of the differentiated time periods based on the preferred network configuration, records the network activities and user behavior patterns in each time period, identifies the peak and valley of the network load, and generates the time usage data; 网络状况评估子模块利用所述时间使用数据,对网络的拥塞情况进行评估,识别负载时段和通道,通过实时监控,记录网络拥塞状况,输出拥塞评估结果;The network status assessment submodule uses the time usage data to assess the network congestion, identify the load period and channel, record the network congestion status through real-time monitoring, and output the congestion assessment result; 策略制定子模块根据所述拥塞评估结果,结合用户的通话习惯和网络状态,调整智能语音外呼的时间设置和用户选择参数,优化拨号时机和频道分配,查验智能语音外呼质量和效率,得到调整拨号策略。The strategy formulation submodule adjusts the time setting and user selection parameters of the intelligent voice outbound call according to the congestion assessment results, combined with the user's calling habits and network status, optimizes the dialing timing and channel allocation, checks the quality and efficiency of the intelligent voice outbound call, and obtains an adjusted dialing strategy. 8.根据权利要求1所述的智能语音外呼平台,其特征在于,所述选择调整模块包括:8. The intelligent voice outbound calling platform according to claim 1, characterized in that the selection and adjustment module comprises: 策略分析子模块基于所述调整拨号策略,采用决策树算法,分析智能语音外呼行为与拨号策略的关联性,评估策略的适应性和效率,分析策略的调整需求,生成策略优化数据;The strategy analysis submodule uses a decision tree algorithm based on the adjusted dialing strategy to analyze the correlation between the intelligent voice outbound calling behavior and the dialing strategy, evaluate the adaptability and efficiency of the strategy, analyze the adjustment requirements of the strategy, and generate strategy optimization data; 网络调整子模块利用所述策略优化数据,实施网络配置的动态调整,根据实时网络性能反馈调整通道分配和网络路由,优化智能语音外呼通信质量,输出网络优化结果;The network adjustment submodule uses the strategy optimization data to implement dynamic adjustment of network configuration, adjust channel allocation and network routing according to real-time network performance feedback, optimize the quality of intelligent voice outbound call communication, and output network optimization results; 平衡点定位子模块从所述网络优化结果中提取关键性能指标,并与成本数据进行对比分析,分析成本效益的最优平衡点,验证智能语音外呼的成本与性能最优化,得到网络选择策略。The balance point positioning submodule extracts key performance indicators from the network optimization results, and compares and analyzes them with cost data, analyzes the optimal balance point of cost-effectiveness, verifies the cost and performance optimization of intelligent voice outbound calls, and obtains a network selection strategy. 9.根据权利要求8所述的智能语音外呼平台,其特征在于,所述决策树算法的公式如下:9. The intelligent voice outbound calling platform according to claim 8, characterized in that the formula of the decision tree algorithm is as follows: 其中,为基尼不纯度,为节点中属于类别的概率,为类别的总数,为额外参照的属性集合,为属性集中第个属性的值,为属性集的平均值,为第个属性的权重,为权重系数,为属性集的数量。in, is the Gini impurity, For nodes belonging to the category The probability of is the total number of categories, is a collection of additional reference attributes. For attribute set Middle The value of the attribute, For attribute set The average value of For the The weight of the attribute, is the weight coefficient, For attribute set The number of 10.根据权利要求1所述的智能语音外呼平台,其特征在于,所述通话加密模块包括:10. The intelligent voice outbound calling platform according to claim 1, characterized in that the call encryption module comprises: 密钥分配子模块基于所述网络选择策略,为智能语音外呼通话动态分配加密密钥,并审核加密密钥使用的权限,生成加密的密钥数据;The key distribution submodule dynamically distributes encryption keys for intelligent voice outbound calls based on the network selection strategy, and reviews the authority for using the encryption keys to generate encrypted key data; 密钥监控子模块利用所述加密的密钥数据,实施密钥的实时管理和监控,更新和验证密钥的有效性,规避密钥泄露和重复使用,输出密钥管理结果;The key monitoring submodule utilizes the encrypted key data to implement real-time management and monitoring of the key, update and verify the validity of the key, avoid key leakage and reuse, and output key management results; 加密审查子模块通过所述密钥管理结果,对智能语音外呼通话进行加密验证,查验加密实施的完整性,验证通话数据的安全性和隐私保护,得到外呼加密验证结果。The encryption review submodule uses the key management results to perform encryption verification on the intelligent voice outbound calls, check the integrity of the encryption implementation, verify the security and privacy protection of the call data, and obtain the outbound encryption verification results.
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