CN114862160A - Earthquake remote sensing emergency rescue information acquisition method - Google Patents
- ️Fri Aug 05 2022
CN114862160A - Earthquake remote sensing emergency rescue information acquisition method - Google Patents
Earthquake remote sensing emergency rescue information acquisition method Download PDFInfo
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Abstract
本发明是一种地震遥感应急救援信息采集方法,包括处理系统、信息收集系统和输入系统,所述处理系统收集信息收集系统和输入系统的数据并进行处理、显示和根据相似程度最大的典型地震灾害所对应的灾害救援预案作为实际地震区域的灾害救援预案,能够综合利用遥感、航拍技术手段,同时结合专业网络及数据库中提供的灾区及灾区周边各类人员、天气、医疗等信息,实现灾害救援指挥调度的快速响应。The present invention is an earthquake remote sensing emergency rescue information collection method, which includes a processing system, an information collection system and an input system. The processing system collects data from the information collection system and the input system and processes, displays, and analyzes typical earthquakes with the greatest similarity. The disaster rescue plan corresponding to the disaster, as the disaster rescue plan for the actual earthquake area, can comprehensively use remote sensing and aerial photography technical means, and at the same time combine the disaster area and various personnel, weather, medical and other information in the disaster area and surrounding areas provided in the professional network and database to realize the disaster Rapid response of rescue command and dispatch.
Description
技术领域technical field
本发明是一种地震遥感应急救援信息采集方法。The present invention is a method for collecting earthquake remote sensing emergency rescue information.
背景技术Background technique
我国是地震多发的国家,由于西南地区国土地处亚欧板块与印度洋板块的交界处,近年来该地区饱受地震及其次生灾害的侵害,这给国家和人民生产生活造成巨大的危害。当地震发生时,相关部门需要根据灾情迅速做出响应,收集受灾地区信息,整合可利用资源,并在最短的时间内做出科学有效的灾害救援决策与方案。目前,我国各医疗团体在进行地震灾害救援时存在以下问题:首先,由于受到地震破坏的影响,对灾区受灾信息的情报收集与分析存在较大的困难,使得在实现具体的救灾决策时存在一定的盲目性。my country is a country prone to earthquakes. As the country in the southwest region is located at the junction of the Eurasian plate and the Indian Ocean plate, in recent years, the region has suffered from earthquakes and their secondary disasters, which has caused huge harm to the production and life of the country and the people. When an earthquake occurs, relevant departments need to respond quickly according to the disaster situation, collect information on the affected areas, integrate available resources, and make scientific and effective disaster rescue decisions and plans in the shortest possible time. At present, various medical groups in our country have the following problems when carrying out earthquake disaster rescue: First, due to the impact of earthquake damage, it is difficult to collect and analyze information on disaster-affected areas, which makes it difficult to realize specific disaster-relief decisions. of blindness.
目前对于地震诱发次生滑坡灾害救援的实施,大多采用进入现场,实地勘察制定救援方案。这样的做法在遇到一些突发情况时缺少应对性,例如救援路线被次生滑坡灾害封阻,临时变更救援路线,将会大大消耗救援时间;进入灾害现场进行勘察制定救援方案时,容易因为二次滑坡的产生造成更多的人员伤亡;对于使用无人机侦察现场情况时,往往采用拍摄视频流或人工观察摄像画面去筛选灾区内滑坡场景,这样的做法耗费人力物力,无法达到智能检测并定位的救援需求。At present, most of the implementation of earthquake-induced secondary landslide disaster rescue is to enter the site, conduct on-site investigation and formulate rescue plans. Such an approach lacks responsiveness when encountering some emergencies, such as the rescue route is blocked by secondary landslide disasters, and temporarily changing the rescue route will greatly consume rescue time; when entering the disaster site to conduct surveys and formulate rescue plans, it is easy to The occurrence of secondary landslides causes more casualties; when using drones to scout the scene, it is often used to shoot video streams or manually observe camera images to screen landslide scenes in the disaster area. This method consumes manpower and material resources and cannot achieve intelligent detection. and locate rescue needs.
发明内容SUMMARY OF THE INVENTION
本发明的目的在于提供一种地震遥感应急救援信息采集方法,智能识别灾害的功能解放了人力,快速识别并定位的功能保证救援部队快速掌握灾区的整体情况并规划正确的路线进入现场,实时分析现场滑坡图像为救援方案的制定提供了保障。The purpose of the present invention is to provide a method for collecting information for earthquake remote sensing emergency rescue. The function of intelligently identifying disasters liberates manpower, and the function of rapid identification and positioning ensures that rescue forces can quickly grasp the overall situation of the disaster area and plan a correct route to enter the scene, and analyze in real time. The on-site landslide images provided a guarantee for the formulation of rescue plans.
为了实现上述目的,本发明通过以下技术方案实现:包括处理系统、信息收集系统和输入系统,所述处理系统收集信息收集系统和输入系统的数据并进行处理、显示和根据相似程度最大的典型地震灾害所对应的灾害救援预案作为实际地震区域的灾害救援预案,其中;In order to achieve the above object, the present invention is realized through the following technical solutions: including a processing system, an information collection system and an input system, and the processing system collects data from the information collection system and the input system and processes, displays and analyzes typical earthquakes with the greatest degree of similarity. The disaster rescue plan corresponding to the disaster is used as the disaster rescue plan for the actual earthquake area, among which;
所述处理系统包括地震参数数据库,所述地震参数数据库包括每种典型地震灾害对应的指标权重和对应的地震救援预案;The processing system includes an earthquake parameter database, and the earthquake parameter database includes an index weight corresponding to each typical earthquake disaster and a corresponding earthquake rescue plan;
所述信息收集系统包括遥感系统、无人机系统、公安系统、气象系统、医疗系统和物资系统,The information collection system includes a remote sensing system, an unmanned aerial vehicle system, a public security system, a meteorological system, a medical system and a material system,
所述遥感系统用于获取地震区域的遥感图像;所述无人机系统包括无人机救援辅助系统和无人机评估系统,用于震后次生滑坡灾害的分析决策以及规划救援路线、制定救援方案、评估灾害影响程度的震后救援规划评估;所述公安系统用于记录人口信息,并可根据处理系统请求提供地震区域的人口信息;所述气象系统用于记录和监测气象信息,并可根据处理系统请求提供地震区域的气象信息;所述医疗系统用于实时记录医疗信息,并根据处理系统请求提供地震区域的医疗信息;所述物资系统用于实时记录物资储备信息,并根据处理系统请求提供地震区域可用的物资储备信息;The remote sensing system is used to obtain remote sensing images of the earthquake area; the unmanned aerial vehicle system includes an unmanned aerial vehicle rescue assistance system and an unmanned aerial vehicle evaluation system, which are used for analysis and decision-making of post-earthquake secondary landslide disasters, planning rescue routes, formulating Rescue plan, post-earthquake rescue planning and evaluation for evaluating the degree of disaster impact; the public security system is used to record population information, and can provide population information in the earthquake area according to the request of the processing system; the meteorological system is used to record and monitor meteorological information, and The meteorological information of the earthquake area can be provided according to the request of the processing system; the medical system is used to record the medical information in real time, and the medical information of the earthquake area can be provided according to the request of the processing system; the material system is used to record the material reserve information in real time, and according to the processing system The system requests information on material reserves available in the earthquake area;
所述输入系统用于输入地震区域的震级、裂度、可用交通工具数量和可用交通工具的工作能力以及输入相应指令控制处理系统做出相应决策。The input system is used for inputting the magnitude, crack, the number of available vehicles and the working capacity of the available vehicles, and inputting corresponding instructions to control the processing system to make corresponding decisions.
进一步的,所述遥感系统包括存储子系统和处理子系统:Further, the remote sensing system includes a storage subsystem and a processing subsystem:
所述储存子系统用于存储基于卫星拍摄的遥感图像信息;The storage subsystem is used for storing remote sensing image information based on satellite photography;
所述处理子系统用于从所述遥感数据存储子系统中获取满足预设条件的待处理遥感图像信息,并调取与所述待处理遥感图像信息对应的关联信息。The processing subsystem is configured to acquire from the remote sensing data storage subsystem to-be-processed remote-sensing image information satisfying a preset condition, and retrieve associated information corresponding to the to-be-processed remote sensing image information.
进一步的,所述存储子系统中还包括:数据采集模块、数据存储模块和数据预处理模块,Further, the storage subsystem also includes: a data acquisition module, a data storage module and a data preprocessing module,
所述数据采集模块用于采集遥感图像信息;The data collection module is used to collect remote sensing image information;
所述数据存储模块用于存储所述遥感数据采集模块采集的遥感图像信息;The data storage module is used to store the remote sensing image information collected by the remote sensing data acquisition module;
所述数据预处理模块用于提取所述遥感图像信息中的关联信息,并建立所述关联信息与所述遥感图像之间的对应关系,以在获取到遥感图像信息时,基于所述对应关系调取所述关联信息。The data preprocessing module is used to extract the associated information in the remote sensing image information, and establish a corresponding relationship between the associated information and the remote sensing image, so that when the remote sensing image information is obtained, based on the corresponding relationship The associated information is retrieved.
进一步的,所述无人机救援辅助系统具体包括以下步骤:Further, the UAV rescue assistance system specifically includes the following steps:
S1、派遣相应数量的无人机;S1. Dispatch a corresponding number of drones;
S2、通过处理系统和输入系统分配无人机搜救范围;S2. Allocate the UAV search and rescue range through the processing system and the input system;
S3、探测生命迹象,并在将信息传递到处理系统,处理系统经处理将位置显示在所述遥感系统的图像上,便于搜救人员搜救;S3. Detect signs of life, and transmit the information to the processing system, and the processing system displays the position on the image of the remote sensing system after processing, which is convenient for search and rescue personnel to search and rescue;
所述无人机通过扫描废墟地形,与废墟表面保持一定的高度,无人机在一定范围内均匀分布,在所述一定范围内,整个无人机编队形成地毯式无人机方阵,对于未完全倒塌的高层建筑的探查,所述无人机编队在竖直方向上形成多组包围式无人机方阵,各组包围式无人机方阵可通过扫描建筑倾斜角度来改变该包围式无人机方阵的整体偏移角度,若在高层建筑内探测到生命迹象,则将信息传递到处理系统。The UAV scans the terrain of the ruins and maintains a certain height with the surface of the ruins, and the UAVs are evenly distributed within a certain range. In the exploration of high-rise buildings that are not completely collapsed, the drone formation forms multiple groups of surrounding drone phalanxes in the vertical direction, and each group of surrounding drone phalanxes can change the surrounding by scanning the inclination angle of the building The overall offset angle of the UAV phalanx, and if signs of life are detected in high-rise buildings, the information is passed to the processing system.
进一步的,所述无人机评估系统具体包括:Further, the UAV evaluation system specifically includes:
S1、搭建专用无人机;S1. Build a special drone;
S2、震后检测规划筹备,用于检测专用无人机完成灾害检测识别前所需的各项准备工作;S2. Preparation for post-earthquake detection planning, which is used to detect special drones to complete all preparations required before disaster detection and identification;
S3、灾后环境信息采集,利用专用无人机获取现场灾害图像和位置信息坐标;S3. Post-disaster environmental information collection, using special drones to obtain on-site disaster images and location information coordinates;
S4、北斗导航定位,用于在导航系统搭建、巡航路线设置、信息采集传输方面辅助专用无人机;S4, Beidou navigation and positioning, used to assist special drones in navigation system construction, cruise route setting, information collection and transmission;
S5、灾害分析决策,结合上述S1-S4所得滑坡灾害图像和位置信息坐标分析震后次生灾害的影响面积、后缘高度、稳定性等相关属性参数,并将相关数据传输至处理系统;S5. Disaster analysis and decision-making, combined with the landslide disaster images and location information coordinates obtained from the above S1-S4, analyze the affected area, trailing edge height, stability and other related attribute parameters of post-earthquake secondary disasters, and transmit the relevant data to the processing system;
S6、震后救援规划评估,结合S5所得滑坡灾害位置及相关属性参数经处理系统处理后为灾后救援提供建设性意见。S6, post-earthquake rescue planning evaluation, combined with the landslide disaster location and related attribute parameters obtained in S5, after being processed by the processing system, provide constructive advice for post-disaster rescue.
进一步的,所述处理系统由若干计算机和一个大屏显示器组成;计算机的主频为3.2GHz,内存为4G;计算机分别与遥感系统、无人机系统、公安系统、气象系统、医疗系统和物资系统相连接,负责显示遥感地理信息可视化结果、进行无人机航拍图像与视频数据和无人机航迹的显示、实现对各子系统数据通信链路的建立及数据的存取、安装商业数据库,实现对各类灾害及救援数据的存储与基本的数据分析,其中一计算机实现对前若干台计算机重要基础数据及系统的备份,以备系统出现故障及瘫痪时进行恢复与修复。Further, the processing system is composed of several computers and a large-screen display; the main frequency of the computer is 3.2GHz, and the memory is 4G; The system is connected, responsible for displaying the visualization results of remote sensing geographic information, displaying UAV aerial images and video data and UAV tracks, realizing the establishment of data communication links for each subsystem and data access, and installing commercial databases. , to realize the storage and basic data analysis of various disaster and rescue data, one of the computers realizes the backup of the important basic data and systems of the previous computers, in order to restore and repair the system in case of failure and paralysis.
借由上述方案,本发明至少具有以下优点:By means of the above scheme, the present invention has at least the following advantages:
1.本发明能够获得较全面的灾区救灾态势信息,便于受灾地区外界全面的了解灾害的实际破坏程度,使得后续详细救灾方案及指挥调度方法的制定成为可能;1. The present invention can obtain more comprehensive disaster relief situation information in the disaster area, which is convenient for the outside world to fully understand the actual damage degree of the disaster in the disaster area, and makes it possible to formulate the follow-up detailed disaster relief plan and command and dispatch method;
2.利用无人机进行检测识别,能在短时间内掌握灾区整体灾害情况,缩短救援执行时间,一定程度提高对突发情况的应对能力,搭载的检测模型具有区域针对性,检测智能性等优点,且利用无人机作为检测装置,效率高,危险性小,满足地震灾后灾害识别的职能要求中的准确性、实时性、高效性;2. UAVs are used for detection and identification, which can grasp the overall disaster situation in the disaster area in a short time, shorten the rescue execution time, and improve the ability to respond to emergencies to a certain extent. The detection model carried has regional specificity and detection intelligence. Advantages, and the use of UAV as a detection device has high efficiency and low risk, and meets the accuracy, real-time and high efficiency in the functional requirements of post-earthquake disaster identification;
3.解决了现有技术中仅能获取遥感图像,无法基于遥感图像准确的获取所需位置分布,实现了基于地图中显示的信息,可以获取搜救遥感信息,并能够准确的了解幸存者的分布信息。3. It solves the problem that only remote sensing images can be obtained in the existing technology, and the required location distribution cannot be accurately obtained based on remote sensing images. Based on the information displayed on the map, search and rescue remote sensing information can be obtained, and the distribution of survivors can be accurately understood. information.
具体实施方式Detailed ways
下面对本发明做进一步说明:The present invention is further described below:
本发明所述的一种地震遥感应急救援信息采集方法,包括处理系统、信息收集系统和输入系统,所述处理系统收集信息收集系统和输入系统的数据并进行处理、显示和根据相似程度最大的典型地震灾害所对应的灾害救援预案作为实际地震区域的灾害救援预案,其中;The method for collecting earthquake remote sensing emergency rescue information according to the present invention includes a processing system, an information collecting system and an inputting system. The disaster rescue plan corresponding to the typical earthquake disaster is regarded as the disaster rescue plan for the actual earthquake area, among which;
所述处理系统包括地震参数数据库,所述地震参数数据库包括每种典型地震灾害对应的指标权重和对应的地震救援预案;The processing system includes an earthquake parameter database, and the earthquake parameter database includes an index weight corresponding to each typical earthquake disaster and a corresponding earthquake rescue plan;
所述信息收集系统包括遥感系统、无人机系统、公安系统、气象系统、医疗系统和物资系统,The information collection system includes a remote sensing system, an unmanned aerial vehicle system, a public security system, a meteorological system, a medical system and a material system,
所述遥感系统用于获取地震区域的遥感图像;所述无人机系统包括无人机救援辅助系统和无人机评估系统,用于震后次生滑坡灾害的分析决策以及规划救援路线、制定救援方案、评估灾害影响程度的震后救援规划评估;所述公安系统用于记录人口信息,并可根据处理系统请求提供地震区域的人口信息;所述气象系统用于记录和监测气象信息,并可根据处理系统请求提供地震区域的气象信息;所述医疗系统用于实时记录医疗信息,并根据处理系统请求提供地震区域的医疗信息;所述物资系统用于实时记录物资储备信息,并根据处理系统请求提供地震区域可用的物资储备信息;The remote sensing system is used to obtain remote sensing images of the earthquake area; the unmanned aerial vehicle system includes an unmanned aerial vehicle rescue assistance system and an unmanned aerial vehicle evaluation system, which are used for analysis and decision-making of post-earthquake secondary landslide disasters, planning rescue routes, formulating Rescue plan, post-earthquake rescue planning and evaluation for evaluating the degree of disaster impact; the public security system is used to record population information, and can provide population information in the earthquake area according to the request of the processing system; the meteorological system is used to record and monitor meteorological information, and The meteorological information of the earthquake area can be provided according to the request of the processing system; the medical system is used to record the medical information in real time, and the medical information of the earthquake area can be provided according to the request of the processing system; the material system is used to record the material reserve information in real time, and according to the processing system The system requests information on material reserves available in the earthquake area;
所述输入系统用于输入地震区域的震级、裂度、可用交通工具数量和可用交通工具的工作能力以及输入相应指令控制处理系统做出相应决策。The input system is used for inputting the magnitude, crack, the number of available vehicles and the working capacity of the available vehicles, and inputting corresponding instructions to control the processing system to make corresponding decisions.
所述遥感系统包括存储子系统和处理子系统:The remote sensing system includes a storage subsystem and a processing subsystem:
所述储存子系统用于存储基于卫星拍摄的遥感图像信息;The storage subsystem is used for storing remote sensing image information based on satellite photography;
所述处理子系统用于从所述遥感数据存储子系统中获取满足预设条件的待处理遥感图像信息,并调取与所述待处理遥感图像信息对应的关联信息。The processing subsystem is configured to acquire from the remote sensing data storage subsystem to-be-processed remote-sensing image information satisfying a preset condition, and retrieve associated information corresponding to the to-be-processed remote sensing image information.
所述存储子系统中还包括:数据采集模块、数据存储模块和数据预处理模块,The storage subsystem further includes: a data acquisition module, a data storage module and a data preprocessing module,
所述数据采集模块用于采集遥感图像信息;The data collection module is used to collect remote sensing image information;
所述数据存储模块用于存储所述遥感数据采集模块采集的遥感图像信息;The data storage module is used to store the remote sensing image information collected by the remote sensing data acquisition module;
所述数据预处理模块用于提取所述遥感图像信息中的关联信息,并建立所述关联信息与所述遥感图像之间的对应关系,以在获取到遥感图像信息时,基于所述对应关系调取所述关联信息。The data preprocessing module is used to extract the associated information in the remote sensing image information, and establish a corresponding relationship between the associated information and the remote sensing image, so that when the remote sensing image information is obtained, based on the corresponding relationship The associated information is retrieved.
所述无人机救援辅助系统具体包括以下步骤:The UAV rescue assistance system specifically includes the following steps:
S1、派遣相应数量的无人机;S1. Dispatch a corresponding number of drones;
S2、通过处理系统和输入系统分配无人机搜救范围;S2. Allocate the UAV search and rescue range through the processing system and the input system;
S3、探测生命迹象,并在将信息传递到处理系统,处理系统经处理将位置显示在所述遥感系统的图像上,便于搜救人员搜救;S3. Detect signs of life, and transmit the information to the processing system, and the processing system displays the position on the image of the remote sensing system after processing, which is convenient for search and rescue personnel to search and rescue;
所述无人机通过扫描废墟地形,与废墟表面保持一定的高度,无人机在一定范围内均匀分布,在所述一定范围内,整个无人机编队形成地毯式无人机方阵,对于未完全倒塌的高层建筑的探查,所述无人机编队在竖直方向上形成多组包围式无人机方阵,各组包围式无人机方阵可通过扫描建筑倾斜角度来改变该包围式无人机方阵的整体偏移角度,若在高层建筑内探测到生命迹象,则将信息传递到处理系统。The UAV scans the terrain of the ruins and maintains a certain height with the surface of the ruins, and the UAVs are evenly distributed within a certain range. In the exploration of high-rise buildings that are not completely collapsed, the drone formation forms multiple groups of surrounding drone phalanxes in the vertical direction, and each group of surrounding drone phalanxes can change the surrounding by scanning the inclination angle of the building The overall offset angle of the UAV phalanx, and if signs of life are detected in high-rise buildings, the information is passed to the processing system.
所述无人机评估系统具体包括:The UAV evaluation system specifically includes:
S1、搭建专用无人机;S1. Build a special drone;
S2、震后检测规划筹备,用于检测专用无人机完成灾害检测识别前所需的各项准备工作;S2. Preparation for post-earthquake detection planning, which is used to detect special drones to complete all preparations required before disaster detection and identification;
S3、灾后环境信息采集,利用专用无人机获取现场灾害图像和位置信息坐标;S3. Post-disaster environmental information collection, using special drones to obtain on-site disaster images and location information coordinates;
S4、北斗导航定位,用于在导航系统搭建、巡航路线设置、信息采集传输方面辅助专用无人机;S4, Beidou navigation and positioning, used to assist special drones in navigation system construction, cruise route setting, information collection and transmission;
S5、灾害分析决策,结合上述S1-S4所得滑坡灾害图像和位置信息坐标分析震后次生灾害的影响面积、后缘高度、稳定性等相关属性参数,并将相关数据传输至处理系统;S5. Disaster analysis and decision-making. Combined with the landslide disaster images and location information coordinates obtained from the above S1-S4, analyze the affected area, trailing edge height, stability and other related attribute parameters of post-earthquake secondary disasters, and transmit the relevant data to the processing system;
S6、震后救援规划评估,结合S5所得滑坡灾害位置及相关属性参数经处理系统处理后为灾后救援提供建设性意见。S6, post-earthquake rescue planning evaluation, combined with the landslide disaster location and related attribute parameters obtained in S5, after being processed by the processing system, provide constructive advice for post-disaster rescue.
所述处理系统由若干计算机和一个大屏显示器组成;计算机的主频为3.2GHz,内存为4G;计算机分别与遥感系统、无人机系统、公安系统、气象系统、医疗系统和物资系统相连接,负责显示遥感地理信息可视化结果、进行无人机航拍图像与视频数据和无人机航迹的显示、实现对各子系统数据通信链路的建立及数据的存取、安装商业数据库,实现对各类灾害及救援数据的存储与基本的数据分析,其中一计算机实现对前若干台计算机重要基础数据及系统的备份,以备系统出现故障及瘫痪时进行恢复与修复。The processing system is composed of several computers and a large-screen display; the main frequency of the computer is 3.2GHz, and the memory is 4G; , responsible for displaying the visualization results of remote sensing geographic information, displaying UAV aerial images and video data and UAV tracks, realizing the establishment of data communication links for each subsystem and data access, installing commercial databases, and realizing Storage of various disaster and rescue data and basic data analysis, one of the computers realizes the backup of important basic data and systems of the previous computers, in case of system failure and paralysis for recovery and repair.
建立各典型地震灾害的层次分析法灾害救援参数数据库;所述层次分析法灾害救援数据库包括每种典型地震灾害对应的指标权重和对应的灾害救援预案;Establish an AHP disaster rescue parameter database for each typical earthquake disaster; the AHP disaster rescue database includes index weights corresponding to each typical earthquake disaster and a corresponding disaster rescue plan;
各典型地震灾害对应的指标权重的确定方法如下:The method for determining the index weight corresponding to each typical earthquake disaster is as follows:
分别针对受灾地区的人口因素、天气因素、疫情因素、受灾程度、交通运输能力以及救灾物资储备情况收集评估指标;人口因素对应的评估指标包括受灾地区的人口数量、人口密度、弱势群体人口比例、人口素质和灾害造成的人员伤亡情况;天气因素对应的评估指标包括受灾地区的气温、湿度、风力和天气晴好状况;疫情因素对应的评估指标包括受灾地区疫情的危害性、传染性、治疗紧迫程度和扩散范围;受灾程度对应的评估指标包括受灾地区的震级、裂度和地表建筑损毁度;交通运输能力对应的评估指标包括受灾地区的交通设施可利用程度、交通配套设施可利用程度、可利用交通工具数量和可利用交通工具的工作能力;救灾物资储备情况对应的评估指标包括受灾地区周边的救援物资库存、救灾物资产品质量、救灾物资与救灾需求匹配程度和救灾物资分布;The evaluation indicators are collected for the population factors, weather factors, epidemic factors, disaster degree, transportation capacity, and disaster relief materials reserves in the disaster-stricken areas respectively; the evaluation indicators corresponding to the population factors include the population number, population density, population ratio of vulnerable groups, Population quality and casualties caused by disasters; evaluation indicators corresponding to weather factors include temperature, humidity, wind and fine weather in the affected area; evaluation indicators corresponding to epidemic factors include the hazard, infectivity, and urgency of treatment in the affected area The evaluation index corresponding to the disaster degree includes the earthquake magnitude, fissure degree and the damage degree of the surface buildings in the disaster area; the evaluation index corresponding to the transportation capacity includes the availability of the transportation facilities in the disaster area, the availability degree of the transportation supporting facilities, the availability of the The number of vehicles and the working capacity of the available vehicles; the evaluation indicators corresponding to the reserves of disaster relief materials include the inventory of relief materials around the disaster-stricken area, the product quality of disaster relief materials, the degree of matching between disaster relief materials and disaster relief needs, and the distribution of disaster relief materials;
采用层次分析法确定每个评估指标的权重,并制订对应的灾害救援预案;Use the analytic hierarchy process to determine the weight of each evaluation index, and formulate the corresponding disaster rescue plan;
在实际地震灾害发生时,通过查询公安人口信息子系统并对查询的人口信息进行分析获得实际地震灾区的人口因素对应的评估指标;通过查询气象信息子系统并对查询的气象信息进行分析获得实际地震灾区的天气因素对应的评估指标;通过查询医疗信息子系统并对查询的医疗信息进行分析获得实际地震灾区的疫情因素对应的评估指标;通过输入接口获得实际地震灾区的受灾程度对应的震级和裂度;指控中心子系统根据无人机子系统输出的图像获得实际地震灾区的受灾程度对应的地表建筑损毁度;根据无人机子系统输出的图像获得实际地震灾区的交通运输能力对应的交通设施可利用程度和交通配套设施可利用程度,通过输入接口获得实际地震灾区的交通运输能力对应的可利用交通工具数量和可利用交通工具的工作能力;通过查询救援物资库存子系统并对查询的救援物资储备情况进行分析获得实际地震灾区的救灾物资储备情况对应的评估指标;指控中心子系统采用层次分析法确定实际地震灾区每个评估指标的权重;When the actual earthquake disaster occurs, the evaluation index corresponding to the population factor of the actual earthquake disaster area is obtained by querying the public security population information subsystem and analyzing the queried population information; by querying the meteorological information subsystem and analyzing the queried meteorological information, the actual The evaluation index corresponding to the weather factor in the earthquake-stricken area; the evaluation index corresponding to the epidemic factor in the actual earthquake-stricken area is obtained by querying the medical information subsystem and analyzing the queried medical information; the magnitude and Crack degree; the command center subsystem obtains the damage degree of the surface buildings corresponding to the damage degree of the actual earthquake disaster area according to the image output by the UAV subsystem; the traffic facilities corresponding to the transportation capacity of the actual earthquake disaster area are obtained according to the image output by the UAV subsystem. The degree of utilization and the availability of supporting facilities of transportation, through the input interface, obtain the number of available vehicles and the working capacity of the available vehicles corresponding to the transportation capacity of the actual earthquake-stricken area; The reserve situation is analyzed to obtain the evaluation index corresponding to the disaster relief material reserve situation in the actual earthquake-stricken area; the command center subsystem uses the analytic hierarchy process to determine the weight of each evaluation index in the actual earthquake-stricken area;
指控中心子系统计算实际地震灾区每个评估指标的权重与层次分析法灾害救援参数数据库中各典型地震灾害对应的每个评估指标的权重的相似程度,并选取相似程度最大的典型地震灾害所对应的灾害救援预案作为实际地震灾区的灾害救援实施方案。The command center subsystem calculates the similarity between the weight of each evaluation index in the actual earthquake disaster area and the weight of each evaluation index corresponding to each typical earthquake disaster in the AHP disaster rescue parameter database, and selects the corresponding typical earthquake disaster with the greatest degree of similarity. The disaster rescue plan is used as the disaster rescue implementation plan in the actual earthquake-stricken area.
以上所述,仅是本发明的较佳实施例,并非用以限制本发明的权利范围,任何以本申请专利范围所涵盖的权利范围实施的技术方案,或者任何熟悉本领域的技术人员,利用述揭示的方法做出许多可能的变动和修饰方案,均属于本发明的保护范围。The above are only preferred embodiments of the present invention, and are not intended to limit the scope of rights of the present invention. Any technical solutions implemented within the scope of rights covered by the scope of the patent of this application, or any person skilled in the art, use There are many possible changes and modifications made to the disclosed method, which all belong to the protection scope of the present invention.
Claims (6)
1. An earthquake remote sensing emergency rescue information acquisition method is characterized by comprising the following steps of; the earthquake disaster early warning system comprises a processing system, an information collecting system and an input system, wherein the processing system collects data of the information collecting system and the input system, processes and displays the data, and a disaster rescue plan corresponding to a typical earthquake disaster with the maximum similarity degree is used as a disaster rescue plan of an actual earthquake area;
the processing system comprises a seismic parameter database, wherein the seismic parameter database comprises index weights corresponding to each typical seismic disaster and corresponding seismic rescue plans;
the information collection system comprises a remote sensing system, an unmanned aerial vehicle system, a public security system, a meteorological system, a medical system and a material system,
the remote sensing system is used for acquiring a remote sensing image of the earthquake area; the unmanned aerial vehicle system comprises an unmanned aerial vehicle rescue auxiliary system and an unmanned aerial vehicle evaluation system, and is used for analyzing and deciding secondary landslide disasters after earthquake, planning rescue routes, making rescue schemes, and evaluating post-earthquake rescue planning and evaluation of disaster influence degrees; the public security system is used for recording population information and providing population information of the earthquake area according to a request of the processing system; the meteorological system is used for recording and monitoring meteorological information and can provide meteorological information of an earthquake area according to a request of the processing system; the medical system is used for recording medical information in real time and providing the medical information of the earthquake area according to the request of the processing system; the material system is used for recording material storage information in real time and providing the material storage information available for the earthquake area according to the request of the processing system;
the input system is used for inputting the magnitude, the crack degree, the number of available vehicles and the working capacity of the available vehicles of the earthquake area and inputting corresponding instructions to control the processing system to make corresponding decisions.
2. The method for acquiring earthquake remote sensing emergency rescue information according to claim 1, wherein the remote sensing system comprises a storage subsystem and a processing subsystem:
the storage subsystem is used for storing remote sensing image information shot based on a satellite;
the processing subsystem is used for acquiring the remote sensing image information to be processed meeting preset conditions from the remote sensing data storage subsystem and calling the associated information corresponding to the remote sensing image information to be processed.
3. The method for acquiring earthquake remote sensing emergency rescue information according to claim 2, wherein the storage subsystem further comprises: a data acquisition module, a data storage module and a data preprocessing module,
the data acquisition module is used for acquiring remote sensing image information;
the data storage module is used for storing the remote sensing image information acquired by the remote sensing data acquisition module;
the data preprocessing module is used for extracting the associated information in the remote sensing image information and establishing the corresponding relation between the associated information and the remote sensing image so as to call the associated information based on the corresponding relation when the remote sensing image information is obtained.
4. The method for acquiring earthquake remote sensing emergency rescue information according to claim 1, wherein the unmanned aerial vehicle rescue assistance system specifically comprises the following steps:
s1, dispatching a corresponding number of unmanned aerial vehicles;
s2, distributing the search and rescue range of the unmanned aerial vehicle through the processing system and the input system;
s3, detecting life signs, transmitting information to a processing system, and displaying the position on the image of the remote sensing system by the processing system after processing, thereby facilitating search and rescue of search and rescue personnel;
the unmanned aerial vehicles scan ruin terrain, keep a certain height with the ruin surface, the unmanned aerial vehicles are uniformly distributed in a certain range, the whole unmanned aerial vehicles form a carpet type unmanned aerial vehicle square matrix in the certain range, the unmanned aerial vehicle form a plurality of groups of surrounding unmanned aerial vehicle square matrices in the vertical direction for exploring a high-rise building which is not completely collapsed, the whole offset angle of the surrounding unmanned aerial vehicle square matrix can be changed by scanning the building inclination angle through each group of surrounding unmanned aerial vehicle square matrices, and if life signs are detected in the high-rise building, information is transmitted to a processing system.
5. The method for acquiring earthquake remote sensing emergency rescue information according to claim 1, wherein the unmanned aerial vehicle evaluation system specifically comprises:
s1, building a special unmanned aerial vehicle;
s2, post-earthquake detection planning and preparation, which is used for detecting various preparation works required by the special unmanned aerial vehicle before disaster detection and identification;
s3, acquiring post-disaster environment information, and acquiring a site disaster image and a position information coordinate by using a special unmanned aerial vehicle;
s4, Beidou navigation positioning is used for assisting the special unmanned aerial vehicle in the aspects of navigation system building, cruising route setting and information acquisition and transmission;
s5, disaster analysis and decision, analyzing related attribute parameters such as the influence area, the trailing edge height, the stability and the like of the secondary disaster after earthquake by combining the landslide disaster image and the position information coordinate obtained from the S1-S4, and transmitting related data to a processing system;
and S6, planning and evaluating post-earthquake rescue, and providing a constructive suggestion for post-disaster rescue after the landslide disaster position and the related attribute parameters obtained in the step S5 are combined and processed by a processing system.
6. The method for acquiring earthquake remote sensing emergency rescue information according to claim 1, wherein the processing system is composed of a plurality of computers and a large screen display; the main frequency of the computer is 3.2GHz, and the memory is 4G; the computer is respectively connected with the remote sensing system, the unmanned aerial vehicle system, the public security system, the meteorological system, the medical system and the material system, and is responsible for displaying a remote sensing geographic information visualization result, displaying aerial images and video data of the unmanned aerial vehicle and tracks of the unmanned aerial vehicle, establishing data communication links of all subsystems, accessing data, installing a commercial database, storing various disaster and rescue data and analyzing basic data, wherein one computer realizes backup of important basic data and systems of a plurality of computers, and is used for recovery and restoration when the system is in fault and paralysis.
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Cited By (4)
* Cited by examiner, † Cited by third partyPublication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116777136A (en) * | 2023-05-15 | 2023-09-19 | 深圳市喜悦智慧数据有限公司 | Intelligent scheduling auxiliary decision-making platform for autonomous driving |
CN116844309A (en) * | 2023-08-16 | 2023-10-03 | 中国长江电力股份有限公司 | Meteorological data real-time monitoring multichannel early warning system |
CN116862142A (en) * | 2023-06-13 | 2023-10-10 | 中咨数据有限公司 | Earthquake remote sensing emergency rescue information acquisition method based on remote sensing technology |
CN116981114A (en) * | 2023-06-16 | 2023-10-31 | 三峡高科信息技术有限责任公司 | Search and rescue system based on ad hoc network technology |
Citations (5)
* Cited by examiner, † Cited by third partyPublication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104616093A (en) * | 2014-12-23 | 2015-05-13 | 北京航天控制仪器研究所 | Earthquake disaster rescue command and dispatch system and method |
CN105701614A (en) * | 2016-01-13 | 2016-06-22 | 天津中科智能识别产业技术研究院有限公司 | Emergency commanding platform based on three-dimensional landform and building model |
KR101842194B1 (en) * | 2017-08-28 | 2018-03-26 | 주식회사 이든이엔지 | Life-saving drone system and lifesaving method using thereof |
WO2020139206A1 (en) * | 2018-12-25 | 2020-07-02 | Signalton Teknoloji Ltd. Sti. | System and method of live human detection for disaster emergency search and rescue |
CN111915128A (en) * | 2020-06-17 | 2020-11-10 | 西安交通大学 | A post-disaster assessment and rescue assistance system for earthquake-induced secondary landslides |
-
2022
- 2022-04-24 CN CN202210433442.XA patent/CN114862160A/en active Pending
Patent Citations (5)
* Cited by examiner, † Cited by third partyPublication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104616093A (en) * | 2014-12-23 | 2015-05-13 | 北京航天控制仪器研究所 | Earthquake disaster rescue command and dispatch system and method |
CN105701614A (en) * | 2016-01-13 | 2016-06-22 | 天津中科智能识别产业技术研究院有限公司 | Emergency commanding platform based on three-dimensional landform and building model |
KR101842194B1 (en) * | 2017-08-28 | 2018-03-26 | 주식회사 이든이엔지 | Life-saving drone system and lifesaving method using thereof |
WO2020139206A1 (en) * | 2018-12-25 | 2020-07-02 | Signalton Teknoloji Ltd. Sti. | System and method of live human detection for disaster emergency search and rescue |
CN111915128A (en) * | 2020-06-17 | 2020-11-10 | 西安交通大学 | A post-disaster assessment and rescue assistance system for earthquake-induced secondary landslides |
Non-Patent Citations (2)
* Cited by examiner, † Cited by third partyTitle |
---|
张景发;谢礼立;陶夏新: "建筑物震害遥感图像特征信息的增强、提取与震害识别技术", 地壳构造与地壳应力文集, no. 000, 31 December 2003 (2003-12-31) * |
李金香;常想德;姚远;李亚芳;张治广: "无人机技术在新疆塔县地震的应用及实现", 华南地震, no. 003, 31 December 2019 (2019-12-31) * |
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