CN116466183B - 5G-based power transmission line fault point monitoring system - Google Patents
- ️Tue Dec 19 2023
CN116466183B - 5G-based power transmission line fault point monitoring system - Google Patents
5G-based power transmission line fault point monitoring system Download PDFInfo
-
Publication number
- CN116466183B CN116466183B CN202310401465.7A CN202310401465A CN116466183B CN 116466183 B CN116466183 B CN 116466183B CN 202310401465 A CN202310401465 A CN 202310401465A CN 116466183 B CN116466183 B CN 116466183B Authority
- CN
- China Prior art keywords
- monitoring
- line fault
- fault information
- line
- information Prior art date
- 2023-04-14 Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 287
- 230000005540 biological transmission Effects 0.000 title claims abstract description 73
- 230000008054 signal transmission Effects 0.000 claims abstract description 16
- 238000005457 optimization Methods 0.000 claims abstract description 10
- 238000000034 method Methods 0.000 claims description 15
- 230000008859 change Effects 0.000 claims description 14
- 238000012545 processing Methods 0.000 claims description 6
- 230000010354 integration Effects 0.000 claims description 3
- 238000012549 training Methods 0.000 claims description 2
- 238000001514 detection method Methods 0.000 abstract 4
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000009529 body temperature measurement Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000000354 decomposition reaction Methods 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 239000002245 particle Substances 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000012706 support-vector machine Methods 0.000 description 1
- 238000011426 transformation method Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/088—Aspects of digital computing
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
- G01R31/085—Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution lines, e.g. overhead
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
- Y04S10/52—Outage or fault management, e.g. fault detection or location
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Mathematical Physics (AREA)
- Theoretical Computer Science (AREA)
- Data Exchanges In Wide-Area Networks (AREA)
Abstract
The invention discloses a 5G-based power transmission line fault point monitoring system, which comprises a fault information acquisition module of a power transmission line, a fault detection module and a fault detection module, wherein the fault information acquisition module is used for acquiring fault detection point information of the power transmission line, and the detection point information is voltage and current of the power transmission line; the power transmission line monitoring module is used for determining a database of corresponding line fault information, a fault place and a monitoring line by utilizing the line fault information monitoring command; the power transmission line optimization module is used for establishing a monitoring secondary protection network and a monitoring tertiary protection network by using a YOLOV3 model set by the primary line fault information monitoring protection network; the fault line fault information 5G signal coding integrated module is used for acquiring a corresponding database by utilizing line fault information monitoring commands and different set protection networks; and the fault point signal transmission module is used for calculating the fault problem of the line fault information in each different protection network. The invention can rapidly and effectively monitor the fault information of the fault line and improve the monitoring efficiency.
Description
Technical Field
The invention relates to the field of power transmission line fault monitoring, in particular to a 5G-based power transmission line fault point monitoring system.
Background
The power transmission line fault monitoring is realized by a fault monitoring mode, such as power transmission line image monitoring, video monitoring, three-span monitoring, external damage monitoring and early warning, strain clamp temperature measurement, wire icing monitoring, microclimate monitoring, tower angle inclination monitoring, wire galloping monitoring, wire sag size, distributed fault diagnosis and the like, and on-site images and data are returned to a monitoring center in real time by a wireless communication mode, alarm information is sent down, the running condition of the power transmission line is monitored in real time, and an emergency plan can be started immediately by an electric power department for early warning, so that remote interconnection of the power transmission line is realized.
In order to ensure stable power transmission, when a power transmission line fails, the failure location of the power transmission line needs to be quickly determined, so that technicians can arrive at the failure location in time to perform corresponding maintenance, and stable power transmission is ensured. The current commonly used fault point monitoring method is a traveling wave ranging method, and the traveling wave ranging technology is mainly divided into double-end ranging and single-end ranging, wherein the double-end ranging is to take points from the wave heads of fault waveforms, and then the wavelet transformation method and the empirical mode decomposition method are utilized to identify and calculate the taken points so as to measure the fault points; single-end ranging is to traverse the waveform of the whole transmission line and determine fault points based on the change of the waveform.
However, the conventional ranging method has the technical problems of low monitoring efficiency and large data volume processing of the power transmission line monitoring and insufficient stability of a monitoring system, so the invention provides a 5G-based power transmission line fault point monitoring system for solving the problems.
Disclosure of Invention
In order to overcome the problems or at least partially solve the problems, the embodiment of the invention provides a digital information monitoring method and a digital information monitoring system, which can be used for rapidly and effectively monitoring line fault information, ensuring the accuracy and timeliness of information monitoring and improving the monitoring efficiency.
A5G-based power transmission line fault point monitoring system comprises a power transmission line fault information acquisition module, a power transmission line monitoring module, a power transmission line optimization module, a fault line fault information 5G signal coding integration module and a fault point signal transmission module;
the power transmission line fault information acquisition module is used for acquiring power transmission circuit fault monitoring point information, wherein the monitoring point information is the voltage and current of a power transmission line;
the power transmission line monitoring module is used for determining a database of corresponding line fault information, a fault occurrence place and a monitoring line by utilizing a line fault information monitoring command, and acquiring and utilizing the database of the corresponding line fault information, the voltage and current change characteristics of the fault occurrence place and the voltage and current change characteristics of the monitoring line to establish a primary line fault information monitoring protection network;
the power transmission line optimization module is used for establishing a monitoring secondary protection network and a monitoring tertiary protection network by using a YOLOV3 model set by the primary line fault information monitoring protection network so as to obtain an optimized line fault information monitoring protection network;
the fault line fault information 5G signal coding integrated module is used for acquiring line fault information in a corresponding database and a fault occurrence place by utilizing a line fault information monitoring command and different set protection networks;
the fault point signal transmission module is used for calculating fault problems of line fault information in different protection networks, and transmitting 5G signals in a database and a fault occurrence place to a host computer by optimizing the line fault information monitoring protection network by utilizing the fault problems of the line fault information in the different protection networks and a PSO-SVM algorithm.
Further, the fault point signal transmission module comprises a node selection module, a line selection sub-module and a monitoring sub-module;
the node selection module is used for processing the line fault information in the database and the fault occurrence place according to the loss threshold value by utilizing the fault problem of the line fault information in each different protection network and the set PSO-SVM algorithm so as to obtain a loss threshold value section line fault information packet;
the line selection sub-module is used for calculating and selecting and optimizing a monitoring secondary protection network and a monitoring tertiary protection network in the line fault information monitoring protection network by utilizing the number of the line fault information packets;
and the monitoring sub-module is used for transmitting each line fault information packet to the host through the selected monitoring secondary protection network and the selected monitoring tertiary protection network.
Further, the fault point signal transmission module further comprises a feature recognition sub-module, which is used for carrying out feature recognition on each line fault information packet, and generating and utilizing the feature recognition sequence in the feature recognition information to sequentially transmit each line fault information packet to the host through the selected monitoring secondary protection network and the selected monitoring tertiary protection network.
A 5G-based transmission line fault point monitoring system comprising the steps of:
a protection network line fault information monitoring command, wherein a database corresponding to line fault information, a fault occurrence place and a monitoring line are determined by the line fault information monitoring command, and a primary line fault information monitoring protection network is established by collecting and utilizing the database corresponding to the line fault information, the voltage and current change characteristics of the fault occurrence place and the voltage and current change characteristics of the monitoring line;
utilizing a YOLOV3 model arranged on the primary line fault information monitoring protection net to establish a monitoring secondary protection net and a monitoring tertiary protection net so as to obtain an optimized line fault information monitoring protection net;
the line fault information in the corresponding database and the fault occurrence place is collected by utilizing the line fault information monitoring command and the set different protection networks;
the fault problem of the line fault information in each different protection network is calculated, and the 5G signals in the database and the fault occurrence place are transmitted to the host computer by optimizing the line fault information monitoring protection network by utilizing the fault problem of the line fault information in each different protection network and the set PSO-SVM algorithm.
Considering that the information transmission channels are all in an orthogonal transmission mode, the information is simultaneously divided into multiple channels of information for transmission, and carrier frequencies of all channels are in an orthogonal mode in the transmission process so as to reduce the influence of transmission noise as much as possible, so that an information preforming model is built in the information transmission process to ensure stable information transmission.
Further, the method for transmitting the database and the 5G signal in the fault place to the host by using the fault problem of the line fault information in each different protection network and the set PSO-SVM algorithm through optimizing the line fault information monitoring protection network comprises the following steps:
the fault problem of the line fault information in each different protection network and the set PSO-SVM algorithm are utilized to treat the line fault information in the database and the fault occurrence place according to the loss threshold value so as to obtain a loss threshold value section line fault information packet;
calculating and selecting and optimizing a monitoring secondary protection network and a monitoring tertiary protection network in the line fault information monitoring protection network by utilizing the number of the line fault information packets;
and transmitting each line fault information packet to the host computer through the selected monitoring secondary protection network and the selected monitoring tertiary protection network.
Further, the method for transmitting the database and the 5G signal in the fault place to the host by using the fault problem of the line fault information in each different protection network and the set PSO-SVM algorithm through optimizing the line fault information monitoring protection network further comprises the following steps:
and carrying out feature recognition on each line fault information packet, generating and utilizing a feature recognition sequence in the feature recognition information to sequentially transmit each line fault information packet to a host through the selected monitoring secondary protection network and the selected monitoring tertiary protection network.
Further, the method also comprises the following steps:
calculating an information monitoring loss threshold value by utilizing the database, the line fault information in the fault occurrence place and the monitoring capability of the optimized line fault information monitoring protection network;
when the information monitoring loss threshold value is reached, calculating line fault information in the monitoring line, judging whether the line fault information in the monitoring line is the same as the line fault information in the database and the fault occurrence place, and ending if the line fault information in the monitoring line is the same as the line fault information in the database and the fault occurrence place; if not, generating and transmitting monitoring failure information.
Further, the method also comprises the following steps:
and re-acquiring the monitoring failure information, and monitoring the corresponding database and the corresponding line fault information in the fault occurrence place to the monitoring line through the optimized line fault information monitoring protection network.
The embodiment of the invention has at least the following advantages or beneficial effects:
the invention provides a 5G-based power transmission line fault point monitoring system, which solves the problems of unstable signals and low transmission efficiency in the conventional 5G signal transmission process, combines a monitoring method and an algorithm, can ensure that information is monitored by a branch circuit during monitoring, can select an optimal monitoring circuit to monitor no matter whether the fault problem of the line fault information is large or small, and ensures the monitoring efficiency and stability, thereby avoiding the problems of information delay and the like.
Drawings
The accompanying drawings, which are included to provide a further understanding of embodiments of the invention and are incorporated in and constitute a part of this application, illustrate embodiments of the invention. In the drawings:
FIG. 1 is a diagram of a system module of the present invention;
fig. 2 is a flow chart illustrating the operation of the system of the present invention.
Detailed Description
It should be noted that, without conflict, the embodiments and features of the embodiments in the present application may be combined with each other, and the present application will be further described in detail with reference to the drawings and the specific embodiments.
As shown in fig. 1, in one level, an embodiment of the present invention provides a 5G-based power transmission line fault point monitoring system, which includes a power transmission line fault information acquisition module, a power transmission line monitoring module, a power transmission line optimization module, a fault line fault information 5G signal coding integration module, and a fault point signal transmission module, wherein:
the power transmission line fault information acquisition module is used for acquiring power transmission circuit fault monitoring point information, wherein the monitoring point information is the voltage and current of a power transmission line;
the power transmission line monitoring module is used for determining a database of corresponding line fault information, a fault occurrence place and a monitoring line by utilizing a line fault information monitoring command, and acquiring and utilizing the database of the corresponding line fault information, the voltage and current change characteristics of the fault occurrence place and the voltage and current change characteristics of the monitoring line to establish a primary line fault information monitoring protection network;
the power transmission line optimization module is used for establishing a monitoring secondary protection network and a monitoring tertiary protection network by using a YOLOV3 model arranged on the primary line fault information monitoring protection network so as to obtain an optimized line fault information monitoring protection network;
the fault line fault information 5G signal coding integrated module is used for acquiring line fault information in a corresponding database and a fault occurrence place by utilizing a line fault information monitoring command and different set protection networks;
the fault point signal transmission module is used for calculating fault problems of line fault information in different protection networks, and the fault problems of the line fault information in the different protection networks and the set PSO-SVM algorithm are utilized to monitor the protection networks through optimizing the line fault information so as to transmit 5G signals in a database and a fault occurrence place to a host, wherein the PSO-SVM algorithm is totally called a particle swarm optimization support vector machine algorithm.
In order to solve the technical problems that the stability of information monitoring and the efficiency of information monitoring cannot be guaranteed in the prior art, and the delay of line fault information monitoring or the loss of information are easy to cause when the fault problem is too large, the invention utilizes the size of line fault information to establish a reasonable line fault information monitoring protection network, utilizes the real-time fault problem to select reasonable line quantity for monitoring line fault information, monitors information in stages, and can select optimal monitoring lines for monitoring no matter whether the fault problem of the line fault information is large or small, thereby guaranteeing the monitoring efficiency and stability. Firstly, when a transmission line fault information acquisition module acquires a line fault information monitoring command to be subjected to information monitoring, a database of line fault information involved in a request, a fault occurrence place and a monitoring line are determined through the transmission line monitoring module, a storage medium of the line fault information is determined, and then a primary line fault information monitoring protection network is established by utilizing voltage and current change characteristics of the storage medium so as to facilitate targeted line fault information monitoring. In order to ensure the efficiency of information monitoring, prevent that 5G signal monitoring is not timely when information is excessive, and the insufficient line capacity leads to information loss, set for monitoring second grade protection network and tertiary protection network on the basis of the first grade line fault information monitoring protection network through transmission line optimization module, form complete optimization line fault information monitoring protection network, when the insufficient capacity of second grade protection network, monitor information through tertiary protection network. In order to ensure timeliness of information acquisition, a reasonable acquisition different protection networks are preset, a fault line fault information 5G signal coding integrated module acquires line fault information in a corresponding database and a fault occurrence place by using a line fault information monitoring command and the set different protection networks, then calculates fault problems of the line fault information in the different protection networks by using a fault point signal transmission module, performs sectional monitoring on the line fault information by using a preset PSO-SVM algorithm, selects a proper line, and transmits 5G signals in the database and the fault occurrence place to a host computer by optimizing the line fault information monitoring protection network, so as to complete monitoring of the line fault information.
The system utilizes the fault problem of the line fault information and the line monitoring capability to set a reasonable information monitoring frame, and performs sectional monitoring on the line fault information, so that the information monitoring efficiency is improved, and meanwhile, a plurality of pieces of information can be monitored at the same time, and the problems of information delay and the like are avoided.
In an embodiment of the present invention, the fault point signal transmission module includes a node selection module, a line selection sub-module, and a monitoring sub-module, where: the node selection module is used for processing the line fault information in the database and the fault occurrence place according to the loss threshold value by utilizing the fault problem of the line fault information in each different protection network and the set PSO-SVM algorithm so as to obtain a loss threshold value section line fault information packet; the line selection sub-module is used for calculating and utilizing the number of the line fault information packets to select and optimize a monitoring secondary protection network and a monitoring tertiary protection network in the line fault information monitoring protection network; and the monitoring sub-module is used for transmitting each line fault information packet to the host computer through the selected monitoring secondary protection network and the selected monitoring tertiary protection network.
In order to ensure timeliness of information acquisition, a reasonable acquisition different protection networks are preset, a node selection module acquires line fault information in a corresponding database and a fault occurrence place by using a line fault information monitoring command and the set different protection networks, the line fault information is treated according to a loss threshold value by using a preset PSO-SVM algorithm to obtain loss threshold value section line fault information packets, then fault problems of the line fault information in each different protection network are calculated by a line selection sub-module, a proper monitoring line is selected, and the monitoring sub-module selects a proper number of monitoring lines in the form of loss threshold value section line fault information packets to transmit 5G signals in the database and the fault occurrence place to a host computer so as to complete monitoring of the line fault information.
In an embodiment of the present invention, the fault point signal transmission module further includes a feature recognition sub-module, configured to perform feature recognition on each line fault information packet, generate and sequentially transmit each line fault information packet to the host through the selected monitoring secondary protection network and the selected three-level protection network by using a feature recognition sequence in feature recognition information.
In order to further improve the accuracy of information monitoring and reduce the subsequent processing workload, after the line fault information packets are divided into loss threshold sections, feature recognition is carried out on each line fault information packet according to the collected loss threshold points/collection sequence through a feature recognition sub-module, and then each line fault information packet is sequentially transmitted to a host through a selected monitoring secondary protection network and a selected monitoring tertiary protection network according to the feature recognition sequence so as to ensure the relevance among the line fault information packets. The feature identification information includes a feature identification number or a feature identification order.
As shown in fig. 2, in one level, an embodiment of the present invention provides a 5G-based power transmission line fault point monitoring system, which includes the following steps:
a protection network line fault information monitoring command, wherein a database corresponding to line fault information, a fault occurrence place and a monitoring line are determined by the line fault information monitoring command, and a primary line fault information monitoring protection network is established by collecting and utilizing the database corresponding to the line fault information, the voltage and current change characteristics of the fault occurrence place and the voltage and current change characteristics of the monitoring line;
in some embodiments of the present invention, when a line fault information monitoring command is acquired and information monitoring is required, a database of line fault information, a fault place and a monitoring line involved in the request are determined, a storage medium for the line fault information is determined, and then a primary line fault information monitoring protection network is established by using voltage and current variation characteristics of the storage medium, so that targeted line fault information monitoring can be performed subsequently. The line fault information monitoring command includes line fault information, a database, a fault place, a monitored line and the like.
Utilizing a YOLOV3 model arranged on the primary line fault information monitoring protection net to establish a monitoring secondary protection net and a monitoring tertiary protection net so as to obtain an optimized line fault information monitoring protection net;
the YOLOV3 model takes the monitoring result of the primary line fault information monitoring protection network as input, simultaneously adds interference noise of human factors, inputs 416x416 groups of data, obtains three different scale prediction results through a dark net network, and each scale corresponds to N channels and contains predicted information; the final output of the network has 3 scales of 1/32,1/16 and 1/8 respectively according to the prediction result of the anchors of each size of each grid; and taking the final output of the network as a secondary protection network, taking the monitoring result of the secondary protection network as the input of a YOLOV3 model, adding interference noise of natural factors, and taking the training result of the model as a tertiary protection network.
In some embodiments of the present invention, in order to ensure the efficiency of information monitoring, prevent the loss of information caused by the untimely monitoring of 5G signals and insufficient line capability when the information is excessive, a secondary protection network and a tertiary protection network are set to monitor on the basis of a primary line fault information monitoring protection network, so as to form a complete optimized line fault information monitoring protection network, and when the capability of the secondary protection network is insufficient, the information is monitored through the tertiary protection network.
The line fault information in the corresponding database and the fault occurrence place is collected by utilizing the line fault information monitoring command and the set different protection networks;
the fault problem of the line fault information in each different protection network is calculated, and the 5G signals in the database and the fault occurrence place are transmitted to the host computer by optimizing the line fault information monitoring protection network by utilizing the fault problem of the line fault information in each different protection network and the set PSO-SVM algorithm.
Further, the fault problems of the line fault information in the different protection networks and the set PSO-SVM algorithm are utilized to treat the line fault information in the database and the fault occurrence place according to the loss threshold value so as to obtain a loss threshold value section line fault information packet; calculating and selecting and optimizing a monitoring secondary protection network and a monitoring tertiary protection network in the line fault information monitoring protection network by utilizing the number of the line fault information packets; and transmitting each line fault information packet to the host computer through the selected monitoring secondary protection network and the selected monitoring tertiary protection network.
Further, feature recognition is carried out on each line fault information packet, and each line fault information packet is sequentially transmitted to a host through the selected monitoring secondary protection network and the selected three-level protection network by means of feature recognition sequences in feature recognition information.
In some embodiments of the present invention, in order to ensure timeliness of information collection, a reasonable collection different protection networks are preset, line fault information in a corresponding database and a fault occurrence place is collected by using a line fault information monitoring command and the set different protection networks, then fault problems of the line fault information in each different protection network are calculated, line fault information is monitored in a segmented mode by using a preset PSO-SVM algorithm, a proper number of monitoring lines are selected in the form of loss threshold section line fault information packets, and 5G signals in the database and the fault occurrence place are transmitted to a host computer, so as to complete monitoring of the line fault information. In order to further improve the accuracy of information monitoring and reduce the subsequent processing workload, after the line fault information packets are divided into loss threshold sections, characteristic recognition is carried out on each line fault information packet according to the collected loss threshold points/collection sequence, and then each line fault information packet is sequentially transmitted to a host through a selected monitoring secondary protection network and a selected three-level protection network according to the characteristic recognition sequence so as to ensure the relevance among the line fault information packets. The feature identification information includes a feature identification number or a feature identification order.
In order to solve the technical problems that the stability of information monitoring and the efficiency of information monitoring cannot be guaranteed in the prior art, and the delay of line fault information monitoring or the loss of information are easy to cause when the fault problem is too large, the invention utilizes the size of line fault information to establish a reasonable line fault information monitoring protection network, utilizes the real-time fault problem to select reasonable line quantity for monitoring line fault information, monitors information in stages, and can select optimal monitoring lines for monitoring no matter whether the fault problem of the line fault information is large or small, thereby guaranteeing the monitoring efficiency and stability.
The method utilizes the fault problem of the line fault information and the line monitoring capability to set a reasonable information monitoring frame, and performs sectional monitoring on the line fault information, so that the information monitoring efficiency is improved, and meanwhile, a plurality of pieces of information can be monitored at the same time, thereby avoiding the problems of information delay and the like.
Considering that the information transmission channels are all in an orthogonal transmission mode, the information is simultaneously divided into multiple channels of information for transmission, and carrier frequencies of all channels are in an orthogonal mode in the transmission process so as to reduce the influence of transmission noise as much as possible, so that an information preforming model is built in the information transmission process to ensure stable information transmission.
The algorithm provided by the invention models signal transmission, the model is simple to understand, and the stability of information in the transmission process is ensured by utilizing a preformed model based on the existing information theory model basis.
With a primary aspect, in some embodiments of the present invention, the 5G signal monitoring method further comprises the steps of:
calculating an information monitoring loss threshold value by utilizing the database, the line fault information in the fault occurrence place and the monitoring capability of the optimized line fault information monitoring protection network;
when the information monitoring loss threshold value is reached, calculating line fault information in the monitoring line, judging whether the line fault information in the monitoring line is the same as the line fault information in the database and the fault occurrence place, and ending if the line fault information in the monitoring line is the same as the line fault information in the database and the fault occurrence place; if not, generating and transmitting monitoring failure information.
Further, the monitoring failure information is used for re-collecting, and the line fault information corresponding to the database and the fault occurrence place is monitored to the monitoring line through the optimized line fault information monitoring protection network.
In order to ensure that whether all line fault information can be timely found out is monitored, calculating a loss threshold value required by corresponding line fault information in a monitoring request by utilizing the fault problem of the line fault information and the monitoring capability of each monitoring line, when monitoring is started, starting timing, calculating how much line fault information is monitored in the information monitoring loss threshold value, comparing the line fault information in the monitoring line with line fault information in a database and a fault generating place, further judging whether all the information is successfully transmitted, and if not, timely generating monitoring failure information to prompt and timely finding out information omission; the monitoring failure information includes failure prompt, failure line fault information, etc. Meanwhile, when failure occurs, the failure line fault information in the monitoring failure information is utilized to collect the corresponding line fault information again, and then subsequent monitoring is carried out until all 5G signals are successfully transmitted.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
It will be evident to those skilled in the art that the present application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any recognition of the features of the drawings in the claims should not be considered limiting of the claims concerned.
Claims (8)
1. The power transmission line fault point monitoring system based on the 5G is characterized by comprising a power transmission line fault information acquisition module, a power transmission line monitoring module, a power transmission line optimization module, a fault line fault information 5G signal coding integration module and a fault point signal transmission module;
the power transmission line fault information acquisition module is used for acquiring power transmission circuit fault monitoring point information, wherein the monitoring point information is the voltage and current of a power transmission line;
the power transmission line monitoring module is used for determining a database of corresponding line fault information, a fault occurrence place and a monitoring line by utilizing a line fault information monitoring command, and acquiring and utilizing the database of the corresponding line fault information, the voltage and current change characteristics of the fault occurrence place and the voltage and current change characteristics of the monitoring line to establish a primary line fault information monitoring protection network;
the power transmission line optimization module is used for establishing a monitoring secondary protection network and a monitoring tertiary protection network by using a YOLOV3 model set by the primary line fault information monitoring protection network so as to obtain an optimized line fault information monitoring protection network;
the YOLOV3 model takes the monitoring result of the primary line fault information monitoring protection network as input, meanwhile adds interference noise of human factors, obtains three prediction results with different scales through a dark net network, and each scale corresponds to N channels and contains predicted information; predicting results of anchors of each size of each grid, and outputting 3 scales at the end of the network; taking the final output of the network as a secondary protection network, taking the monitoring result of the secondary protection network as the input of a YOLOV3 model, adding interference noise of natural factors, and taking the training result of the model as a tertiary protection network;
the fault line fault information 5G signal coding integrated module is used for acquiring line fault information in a corresponding database and a fault occurrence place by utilizing a line fault information monitoring command and different set protection networks;
the fault point signal transmission module is used for calculating fault problems of line fault information in different protection networks, and transmitting 5G signals in a database and a fault occurrence place to a host computer by optimizing the line fault information monitoring protection network by utilizing the fault problems of the line fault information in the different protection networks and a PSO-SVM algorithm.
2. The 5G-based transmission line fault point monitoring system of claim 1, wherein the fault point signal transmission module comprises a node selection module, a line selection sub-module, and a monitoring sub-module;
the node selection module is used for processing the line fault information in the database and the fault occurrence place according to the loss threshold value by utilizing the fault problem of the line fault information in each different protection network and the set PSO-SVM algorithm so as to obtain a loss threshold value section line fault information packet;
the line selection sub-module is used for calculating and selecting and optimizing a monitoring secondary protection network and a monitoring tertiary protection network in the line fault information monitoring protection network by utilizing the number of the line fault information packets;
and the monitoring sub-module is used for transmitting each line fault information packet to the host through the selected monitoring secondary protection network and the selected monitoring tertiary protection network.
3. The 5G-based power transmission line fault point monitoring system according to claim 2, wherein the fault point signal transmission module further comprises a feature recognition sub-module for performing feature recognition on each line fault information packet, and generating and sequentially transmitting each line fault information packet to the host through the selected monitoring secondary protection network and the selected three-level protection network by using the feature recognition sequence in the feature recognition information.
4. A 5G-based transmission line fault point monitoring system according to any one of claims 1-3, characterized in that the operation of the system comprises the steps of:
a protection network line fault information monitoring command, wherein a database corresponding to line fault information, a fault occurrence place and a monitoring line are determined by the line fault information monitoring command, and a primary line fault information monitoring protection network is established by collecting and utilizing the database corresponding to the line fault information, the voltage and current change characteristics of the fault occurrence place and the voltage and current change characteristics of the monitoring line;
utilizing a YOLOV3 model arranged on the primary line fault information monitoring protection net to establish a monitoring secondary protection net and a monitoring tertiary protection net so as to obtain an optimized line fault information monitoring protection net;
the line fault information in the corresponding database and the fault occurrence place is collected by utilizing the line fault information monitoring command and the set different protection networks;
the fault problem of the line fault information in each different protection network is calculated, and the 5G signals in the database and the fault occurrence place are transmitted to the host computer by optimizing the line fault information monitoring protection network by utilizing the fault problem of the line fault information in each different protection network and the set PSO-SVM algorithm.
5. The 5G-based power line fault point monitoring system as claimed in claim 4, wherein the method for transmitting the 5G signals in the database and the fault occurrence place to the host computer by optimizing the line fault information monitoring protection network by using the fault problem of the line fault information in each of the different protection networks and the set PSO-SVM algorithm comprises the following steps:
the fault problem of the line fault information in each different protection network and the set PSO-SVM algorithm are utilized to treat the line fault information in the database and the fault occurrence place according to the loss threshold value so as to obtain a loss threshold value section line fault information packet;
calculating and selecting and optimizing a monitoring secondary protection network and a monitoring tertiary protection network in the line fault information monitoring protection network by utilizing the number of the line fault information packets;
and transmitting each line fault information packet to the host computer through the selected monitoring secondary protection network and the selected monitoring tertiary protection network.
6. The 5G-based power line fault point monitoring system as claimed in claim 4, wherein the method for transmitting the database, 5G signals in the fault occurrence place to the host computer by optimizing the line fault information monitoring protection network by using the fault problem of the line fault information in each of the different protection networks and the set PSO-SVM algorithm further comprises the steps of:
and carrying out feature recognition on each line fault information packet, generating and utilizing a feature recognition sequence in the feature recognition information to sequentially transmit each line fault information packet to a host through the selected monitoring secondary protection network and the selected monitoring tertiary protection network.
7. A 5G-based power line fault point monitoring system as claimed in claim 4, further comprising the steps of:
calculating an information monitoring loss threshold value by utilizing the database, the line fault information in the fault occurrence place and the monitoring capability of the optimized line fault information monitoring protection network;
when the information monitoring loss threshold value is reached, calculating line fault information in the monitoring line, judging whether the line fault information in the monitoring line is the same as the line fault information in the database and the fault occurrence place, and ending if the line fault information in the monitoring line is the same as the line fault information in the database and the fault occurrence place; if not, generating and transmitting monitoring failure information.
8. A 5G-based power line fault point monitoring system as claimed in claim 4, further comprising the steps of:
and re-acquiring the monitoring failure information, and monitoring the corresponding database and the corresponding line fault information in the fault occurrence place to the monitoring line through the optimized line fault information monitoring protection network.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310401465.7A CN116466183B (en) | 2023-04-14 | 2023-04-14 | 5G-based power transmission line fault point monitoring system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310401465.7A CN116466183B (en) | 2023-04-14 | 2023-04-14 | 5G-based power transmission line fault point monitoring system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116466183A CN116466183A (en) | 2023-07-21 |
| CN116466183B true CN116466183B (en) | 2023-12-19 |
Family
ID=87176536
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310401465.7A Active CN116466183B (en) | 2023-04-14 | 2023-04-14 | 5G-based power transmission line fault point monitoring system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116466183B (en) |
Citations (7)
* Cited by examiner, † Cited by third party| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20020068215A (en) * | 2001-02-20 | 2002-08-27 | 학교법인 성균관대학 | Method for detecting high impedance fault using wavelet transformation and for measuring fault distance using thereof |
| CN204188746U (en) * | 2014-09-23 | 2015-03-04 | 广东电网有限责任公司东莞供电局 | Fault distance measuring system for medium-high voltage transmission line |
| CN108694445A (en) * | 2018-08-23 | 2018-10-23 | 四川多成电力工程安装有限责任公司 | Bushing shell for transformer monitoring method based on neural network |
| CN109031021A (en) * | 2018-07-18 | 2018-12-18 | 武汉易摩特科技有限公司 | A kind of high voltage single-core cable short trouble localization method, apparatus and system |
| CN114859181A (en) * | 2022-05-31 | 2022-08-05 | 广东电网有限责任公司 | Fault monitoring method, device and system for power transmission line |
| WO2022262019A1 (en) * | 2021-06-17 | 2022-12-22 | 山东大学 | 5g communication-based alternating current/direct current electric power transmission line traveling wave fault distance-measuring method and system |
| CN115693661A (en) * | 2022-11-15 | 2023-02-03 | 贵州电网有限责任公司 | Cascading failure risk key line identification method based on graph neural network |
Family Cites Families (2)
* Cited by examiner, † Cited by third party| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP3244279A1 (en) * | 2016-05-13 | 2017-11-15 | Siemens Aktiengesellschaft | Method for operating a fault indicator |
| US11307264B2 (en) * | 2016-06-14 | 2022-04-19 | Schweitzer Engineering Laboratories, Inc. | Phase selection for traveling wave fault detection systems |
-
2023
- 2023-04-14 CN CN202310401465.7A patent/CN116466183B/en active Active
Patent Citations (7)
* Cited by examiner, † Cited by third party| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20020068215A (en) * | 2001-02-20 | 2002-08-27 | 학교법인 성균관대학 | Method for detecting high impedance fault using wavelet transformation and for measuring fault distance using thereof |
| CN204188746U (en) * | 2014-09-23 | 2015-03-04 | 广东电网有限责任公司东莞供电局 | Fault distance measuring system for medium-high voltage transmission line |
| CN109031021A (en) * | 2018-07-18 | 2018-12-18 | 武汉易摩特科技有限公司 | A kind of high voltage single-core cable short trouble localization method, apparatus and system |
| CN108694445A (en) * | 2018-08-23 | 2018-10-23 | 四川多成电力工程安装有限责任公司 | Bushing shell for transformer monitoring method based on neural network |
| WO2022262019A1 (en) * | 2021-06-17 | 2022-12-22 | 山东大学 | 5g communication-based alternating current/direct current electric power transmission line traveling wave fault distance-measuring method and system |
| CN114859181A (en) * | 2022-05-31 | 2022-08-05 | 广东电网有限责任公司 | Fault monitoring method, device and system for power transmission line |
| CN115693661A (en) * | 2022-11-15 | 2023-02-03 | 贵州电网有限责任公司 | Cascading failure risk key line identification method based on graph neural network |
Non-Patent Citations (1)
* Cited by examiner, † Cited by third party| Title |
|---|
| 研制输电线路故障定位监测系统;王海生 等;内蒙古科技与经济(第2016年第24期期);106页＋108页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116466183A (en) | 2023-07-21 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108376982B (en) | 2021-03-26 | Load phase sequence identification method and device |
| CN111555776B (en) | 2022-06-03 | Fusion sensing and joint diagnosis method, system and device for power transmission line |
| CN116980284B (en) | 2024-06-11 | Optical cable fiber distribution box operation and maintenance information transmission method and system based on Internet of things |
| CN111352733A (en) | 2020-06-30 | A method and device for predicting expansion and contraction state |
| CN116361377A (en) | 2023-06-30 | Load prediction system, method and medium based on industrial Internet of things service platform |
| WO2024138968A1 (en) | 2024-07-04 | Base station fault diagnosis method and apparatus |
| CN116415849A (en) | 2023-07-11 | Dynamic engineering supervision system and method based on artificial intelligence |
| CN117591863A (en) | 2024-02-23 | Remote fault detection method and detection device for energy storage charging equipment |
| CN112614130A (en) | 2021-04-06 | Unmanned aerial vehicle power transmission line insulator fault detection method based on 5G transmission and YOLOv3 |
| CN116466183B (en) | 2023-12-19 | 5G-based power transmission line fault point monitoring system |
| CN110908956A (en) | 2020-03-24 | A credit-guaranteed master station system and its fault information filing method |
| CN109560978B (en) | 2020-11-06 | Network flow detection method, device and system and computer readable storage medium |
| CN117914003B (en) | 2024-05-24 | Intelligent monitoring auxiliary method and system for box-type transformer based on cloud edge cooperation |
| CN117435131B (en) | 2024-03-29 | Big data storage methods, devices and media based on urban power equipment monitoring |
| CN118539417A (en) | 2024-08-23 | Distribution equipment fault analysis method and system based on edge calculation |
| WO2024066720A1 (en) | 2024-04-04 | Indicator threshold determination method and apparatus, storage medium, and electronic apparatus |
| CN118376878A (en) | 2024-07-23 | Cable fault determining system and method based on artificial intelligence and acquisition parameters |
| CN117761456A (en) | 2024-03-26 | Power distribution network fault diagnosis method, device, equipment and storage medium |
| CN118330332A (en) | 2024-07-12 | Intelligent monitoring and early warning method and system for low-voltage distribution three-phase imbalance |
| CN117896319A (en) | 2024-04-16 | Data flow control method and system based on big data |
| CN114123510B (en) | 2022-06-10 | Transformer monitoring method and system based on real-time data analysis |
| CN111967667B (en) | 2024-03-01 | Rail transit distributed operation and maintenance method and system |
| CN115022916A (en) | 2022-09-06 | 5G communication abnormity early warning method and system based on state detection |
| CN114465351A (en) | 2022-05-10 | Method and system for generating topological structure of low-voltage distribution network |
| CN112487050A (en) | 2021-03-12 | Lightning early warning method and system based on big data mining |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| 2023-07-21 | PB01 | Publication | |
| 2023-07-21 | PB01 | Publication | |
| 2023-08-08 | SE01 | Entry into force of request for substantive examination | |
| 2023-08-08 | SE01 | Entry into force of request for substantive examination | |
| 2023-12-19 | GR01 | Patent grant | |
| 2023-12-19 | GR01 | Patent grant |