CN112653242A - Power transmission line monitoring system based on cloud platform service - Google Patents
Power transmission line monitoring system based on cloud platform service Download PDFInfo
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- CN112653242A CN112653242A CN202011531466.6A CN202011531466A CN112653242A CN 112653242 A CN112653242 A CN 112653242A CN 202011531466 A CN202011531466 A CN 202011531466A CN 112653242 A CN112653242 A CN 112653242A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- 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
- Y04S10/40—Display of information, e.g. of data or controls
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Abstract
The invention discloses a power transmission line monitoring system based on cloud platform service, which comprises a data acquisition terminal, an IOT server, an application server, an SCADA server and a database server, wherein the data acquisition terminal is used for acquiring monitoring data, the IOT server is used for obtaining the monitoring data through mutual contact between a switch and a data acquisition terminal measuring point, encrypting the monitoring data and transmitting the data to the application server, the application server is used for cleaning the obtained monitoring data and transmitting the cleaned data to the SCADA server, and the SCADA server is used for dividing the data into remote measurement data and remote signaling data and transmitting the remote measurement data and the remote signaling data to the database server for database storage. The invention provides an overall architecture mode of the cloud platform based service online monitoring system and provides a system architecture and hardware architecture mode method, so that the online monitoring technology and the line inspection operation and maintenance efficiency can be improved, and the quality of operation and maintenance is ensured.
Description
Technical Field
The invention belongs to the technical field of real-time monitoring of a power grid, and relates to a power transmission line monitoring system based on a cloud platform.
Background
The climate of high altitude, high latitude and other areas affected by cold air is cold, the transmission line is easy to be covered with ice, the line load is increased, and the line is easy to break and even fall down; complicated and variable meteorological conditions such as strong wind, freezing rain and the like in local areas easily cause galloping and vibration of the power transmission line, and the safe operation of the power transmission line is seriously influenced; large engineering machinery is under rough construction near the transmission line, and may damage the transmission line. In order to ensure safe operation of the transmission line and reduce the line fault rate, the transmission line is required to be monitored safely and accurately in real time.
With the expansion of the interconnection of power grids and the coverage of the power grids, once a large power grid fails and cannot be rapidly eliminated, stable damage and uncontrollable chain reaction are likely to be caused, large-range and long-time power failure is caused, and the social stability and economic safety are seriously affected. In recent years, a plurality of major power failure accidents occurring abroad cause traffic, communication, production, life and the like to be paralyzed, and the indirect economic loss is immeasurable. Therefore, the power grid is prevented from having a large power failure fault, the power transmission line is monitored on line, early warning and line hidden dangers can be timely achieved, the line fault rate is reduced, operation and maintenance efficiency is improved, and the safe and stable operation level of the power grid is improved.
In the past, the inspection of faults mostly depends on inspection experience of inspection personnel, but due to the fact that the experience of personnel is uneven, the inspection result has high randomness, the fault position is difficult to be determined quickly, and the fault first-aid repair quality of a power transmission line is affected. The cloud platform online monitoring technology has the characteristics of accurate positioning, good early warning effect and the like, and can improve the line inspection operation efficiency, thereby improving the fault first-aid repair quality.
Therefore, a cloud platform system capable of realizing real-time monitoring and state early warning of the power transmission line is required to be provided.
Disclosure of Invention
The invention aims to provide a cloud platform system capable of realizing real-time monitoring and state early warning of a power transmission line aiming at the defects in the prior art.
The invention adopts the following technical scheme.
In one aspect, the present invention provides a power transmission line monitoring system based on cloud platform service, including: the system comprises a data acquisition terminal, an IOT server, an application server, an SCADA server and a database server, wherein the data acquisition terminal is used for acquiring monitoring data, the IOT server is used for obtaining the monitoring data through mutual contact between a switch and a data acquisition terminal measuring point, encrypting the monitoring data and transmitting the data to the application server, the application server is used for cleaning the obtained monitoring data and transmitting the cleaned data to the SCADA server, and the SCADA server is used for dividing the data into remote measuring data and remote signaling data and transmitting the remote measuring data and the remote signaling data to the database server for database storage.
Further, the monitoring data obtained by the data acquisition terminal includes: wire temperature monitoring data, current monitoring data, wire sag monitoring data, lead ground wire vibration monitoring data, wire galloping monitoring data, strain clamp temperature rise monitoring data and insulator leakage current monitoring data, represent as follows:
in the formula fcon_j(t) represents the measurement of the jth device at time t,
represents the average of measurements for all stations.
Still further, the monitoring data further comprises: pole tower key bolt state monitoring data, pole tower slope monitoring data and transmission line area filth degree monitoring data.
Still further, the monitoring data further comprises video image monitoring data.
Further, the step of the application server for cleaning the obtained monitoring data specifically includes: reading measured data Z obtained within a certain time periodreadAnd cleaning the read calculation data by using a training model of the stacked noise reduction self-encoder to obtain a model output value ZouputThereby calculating the model integral error, and judging the model integral error LoutputMinimum overall error L when training with training datarfminIf L is greater than L, determining whether to perform data cleaningoutput＞LrfminIndicating that the data has abnormal points, storing the abnormal points and reminding the user of reading the data abnormal points, if L is the caseoutput≤LrfminThe data can be processed and the cleaned data is output.
Further, the IOT server, the application server, the SCADA server and the database server are all provided with a d5000 system; according to the data access quantity of the power transmission line monitoring system, the configuration mode of the server comprises a centralized d5000 micro application mode, a distributed d5000 micro application mode and a deployment mode of a cloud d5000 micro application, the access quantity is smaller than a set threshold value, the server provided with the d5000 system is configured in the centralized d5000 micro application mode, the servers are collected together for management, and the d5000 system is used for arranging related data processing application; the access amount is in the range of a set threshold value, the distributed d5000 plus micro application mode is adopted for configuration, the servers are arranged in different areas, and data of corresponding quantity are processed aiming at different areas in each server for installing d5000 and data processing application; and adopting a deployment mode of cloud d5000 micro application when the access amount is larger than the set threshold value, connecting all the servers through the Internet, and establishing a cloud data processing center for data processing.
And further, when a deployment mode of the cloud d5000 micro application is adopted, a data cloud platform consisting of all servers is deployed in an internet large area, and the internet large area interacts with a regulation function area, a PMS (permanent magnet system) and six centers of an information management large area in cloud platform service through a forward and reverse isolation device.
Furthermore, micro applications comprising virtualization and cloud platform software building resource pools are deployed on a data cloud platform server in a large Internet area, and the IaaS layer resource pool provides cloud host services for PaaS and SaaS layers; the hardware of the relational database service adopts a database server and array storage equipment to deploy a database system.
Further, basic data storage service is provided for the PaaS layer; the hardware of the column-type database service adopts a column-type database server, Hadoop and HBase software are deployed, and column-type data storage service is provided for a PaaS layer; the internal networking of the data cloud platform adopts a gigabit network.
Still further, after the data cloud platform layer is built, basic data service functions are provided based on the CIM and the standardized data operation interface.
The invention has the following beneficial technical effects:
the invention provides an overall architecture mode of the cloud platform based service online monitoring system and provides a system architecture and hardware architecture mode method, so that the online monitoring technology and the line inspection operation and maintenance efficiency can be improved, and the quality of operation and maintenance is ensured. The invention provides a construction and deployment mode of a cloud platform service layer, the cloud platform layer realizes the display of terminal interfaces of the internet of things for transmission, transformation and distribution by processing collected data, realizes the partition maintenance of authority, responsibility areas, alarm definition and the like by a cooperative management and control mechanism, simplifies the complexity of the system and is convenient for the unified management of the whole system.
Drawings
Fig. 1 is a flowchart of a real-time monitoring system for a power transmission line according to an embodiment;
fig. 2 is a schematic diagram illustrating a specific process of deploying a server of a power transmission line real-time monitoring system serving a power transmission line by a power transmission line cloud platform in a specific embodiment;
FIG. 3 is a flow chart of a data processing method of the power transmission real-time monitoring system in the embodiment;
FIG. 4 is a detailed flow chart of data cleaning for the transmission line monitoring system in an exemplary embodiment;
FIG. 5 is a schematic diagram illustrating the connection between an Internet large area and an information management large area in an exemplary embodiment;
fig. 6 is a configuration diagram of an internet large area and an information management large area in an embodiment.
Detailed Description
The invention is further described below with reference to the figures and the specific examples. Example (b): a power transmission line monitoring system based on cloud platform service, as shown in fig. 1 and 3, includes: the system comprises a data acquisition terminal, an IOT server, an application server, an SCADA server and a database server, wherein the data acquisition terminal is used for acquiring monitoring data, the IOT server is used for obtaining the monitoring data through mutual contact between a switch and a data acquisition terminal measuring point, encrypting the monitoring data and transmitting the data to the application server, the application server is used for cleaning the obtained monitoring data and transmitting the cleaned data to the SCADA server, and the SCADA server is used for dividing the data into remote measuring data and remote signaling data and transmitting the remote measuring data and the remote signaling data to the database server for database storage.
The monitoring data in the specific embodiment includes: comprises the following steps of; the monitoring system comprises data of wire temperature monitoring, current monitoring, wire sag monitoring, ground wire vibration monitoring, wire galloping monitoring, strain clamp temperature rise monitoring and insulator leakage current monitoring.
Optionally monitoring the data further comprises: monitoring the state of a key bolt of a tower, monitoring the inclination of the tower, monitoring the pollution degree of a power transmission line area and the like.
Optionally monitoring the data further comprises: the high-definition camera is utilized to shoot a line corridor picture in real time, and the invasion of engineering vehicles, bird nests, smoke, mountain fire and wires are automatically identified to hang foreign matters and tower crane operation, so that potential accidents are found, and early warning is performed in advance.
Optionally, the data acquisition terminal realizes icing real-time monitoring through data acquisition and formic acid, and the method includes: the seven-element meteorological sensor, the inclination angle sensor and the tension sensor are configured to monitor the ice coating state of the line in real time, and a basis is provided for ice melting decision making.
As shown in fig. 3 and 4, the measured data is transmitted to the cloud platform layer through the network, and the read calculation data is subjected to data cleaning by using the model trained by the stacked noise reduction self-encoder. Reading measured data Z obtained within a certain time periodreadThe read data is brought into a model trained by a stack type noise reduction self-encoder to obtain a model output value ZouputAnd thus the model global error is calculated. Judging model integral error LoutputMinimum overall error L when training with training datarfminIf L is greater than L, determining whether to perform data cleaningoutput＞LrfminIndicating that the data has abnormal points, storing the abnormal points and reminding the user of reading the data abnormal points, if L is the caseoutput≤LrfminThe data can be processed and the cleaned data is output. And the cleaned data and the data monitored in real time are displayed in real time, so that the judgment of monitoring personnel is facilitated, and the fault position is determined.
As shown in fig. 4, in the specific embodiment, the power transmission line monitoring system based on the cloud platform service configures a server based on a large, medium and small size of the data access amount of the power transmission platform, wherein the server is loaded with a d5000 system, and performs data acquisition through the d5000 system and a micro application, so as to transmit the data to a data acquisition system. For the data volume, the configuration mode is as follows: a centralized d5000+ micro application mode, a distributed d5000+ micro application mode and a cloud d5000+ micro application deployment mode. The small-sized and access data are managed by adopting a centralized d5000+ micro application mode, the servers provided with the d5000 system are centralized together, and the related data processing application is arranged by utilizing the d5000 system. The medium access data adopts a distributed d5000+ micro application mode, the service quantity of the required data processing data is increased due to more processed data, the server is arranged in different areas, and d5000 and data processing application are installed in the server to process the data with corresponding quantity aiming at different areas. The large-scale access data is in a cloud d5000+ micro application mode, the data volume in a region is large, and the distributed d5000 cannot meet the requirement of data processing, so that a large number of servers are connected through the Internet, and a cloud data processing center is established for data processing. Therefore, the server equipped with the d5000 system is a hardware basis for the service of the whole cloud platform, and in order to ensure the operation of the service of the whole cloud platform, the following hardware is required: the system comprises a management node server, a network management node server, a computing node server, an array storage device, a storage fiber switch, a BMC access switch, a firewall, a management switch, a service switch and a core switch.
Embodiment 2 provides a power transmission line monitoring system based on cloud platform service, and this embodiment takes a certain small data access amount as an example, so the access data amount is small, and a centralized d5000+ micro application mode is adopted. The method comprises the following steps:
(1) the cloud platform server comprises a time sequence data database server, a database server, an SCADA server, an application server and an IOT server, wherein d5000 systems are installed on the servers and are distinguished according to different micro applications arranged on the servers. The IOT server is mutually linked with the data acquisition terminal measuring points through the switch, data are encrypted and transmitted, data are cleaned in the application server, and the data are divided into telemetering data and remote signaling data in the SCADA server and transmitted to the database server for database storage. And engineering personnel can look over data through the workstation, and then transmit data to the information management large area through switch and positive and negative isolating device.
(2) The server system is configured in the Internet large area, and the Internet large area and the information management large area are mutually connected through the forward and reverse isolation devices. As shown in fig. 5 and 6.
(3) Deploying virtualization and cloud platform software on cloud platform hardware to form a resource pool, wherein the IaaS layer resource pool provides cloud host services for PaaS and SaaS layers; the hardware of the relational database service adopts a database server and array storage equipment to deploy a domestic database system.
(5) Providing basic data storage service for a PaaS layer; the hardware of the columnar database service adopts a columnar database server, Hadoop and HBase software are deployed, and columnar data storage service is provided for a PaaS layer. The cloud internal networking adopts a gigabit network.
(6) After the cloud platform layer is built, basic data service functions are provided based on the CIM and the standardized data operation interface.
(7) Line body monitoring, including; wire temperature monitoring, current monitoring, wire sag monitoring, lead ground wire vibration monitoring, wire galloping monitoring, strain clamp temperature rise monitoring, insulator leakage current monitoring, circuit body monitoring function as follows:
in the formula fcon_j(t) represents the measurement of the jth device at time t,
represents the average of measurements for all stations.
(8) Realize real-time shaft tower regional monitoring based on video monitoring and measurement station calculation data, include: the method comprises the steps of monitoring the state of a pole tower key bolt, monitoring the inclination of the pole tower, monitoring the pollution degree of a power transmission line area and the like, wherein the measurement function is as shown in the formula (1).
(9) Realize circuit corridor real time monitoring based on video monitoring, include: the high-definition camera is utilized to shoot a line corridor picture in real time, and the invasion of engineering vehicles, bird nests, smoke, mountain fire and wires are automatically identified to hang foreign matters and tower crane operation, so that potential accidents are found, and early warning is performed in advance.
(10) Realize icing real-time supervision through data acquisition and formic acid, include: the seven-element meteorological sensor, the inclination angle sensor and the tension sensor are configured to monitor the ice coating state of the line in real time, and a basis is provided for ice melting decision making.
(11) And transmitting the measured data to a cloud platform layer through network transmission, and performing data cleaning on the read calculation data by using a training model of the stacked noise reduction self-encoder.
(12) Reading measured data Z obtained within a certain time periodreadSubstituting the read data into the model trained in the step (11) to obtain a model output value ZouputAnd thus the model global error is calculated.
(13) Judging model integral error LoutputMinimum overall error L when training with training datarfminIf L is greater than L, determining whether to perform data cleaningoutput＞LrfminIndicating that the data has abnormal points, storing the abnormal points and reminding the user of reading the data abnormal points, if L is the caseoutput≤LrfminThe data can be processed and the cleaned data is output.
(14) And the cleaned data and the data monitored in real time are displayed in real time, so that the judgment of monitoring personnel is facilitated, and the fault position is determined.
Fig. 1 shows a flow chart of a power transmission line monitoring system, which includes three major steps, namely server deployment, hardware architecture and cloud platform construction (corresponding to steps 1-6), various data monitoring (corresponding to steps 7-10), and data cleaning and display (corresponding to steps 11-14).
Fig. 3 shows a data processing method of the power transmission real-time monitoring system, which includes data reading and data cleaning, and determines whether the read data is abnormal data according to the reconstruction error during the data cleaning.
The invention provides a power transmission line monitoring system based on cloud platform service, discloses an overall architecture mode of the online monitoring system based on the cloud platform service, and provides a system architecture and hardware architecture mode method, so that the online monitoring technology and the line inspection operation and maintenance efficiency can be improved, the quality of operation and maintenance is ensured, a construction and deployment mode of a cloud platform service layer is provided, the cloud platform layer realizes the interface display of a terminal of an input, transformation and distribution internet of things by processing acquired data, the partition maintenance of authority, responsibility areas, alarm definition and the like is realized by a cooperative management and control mechanism, the complexity of the system is simplified, and the unified management of the whole system is facilitated.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (10)
1. The utility model provides a transmission line monitoring system based on cloud platform service which characterized in that includes: the system comprises a data acquisition terminal, an IOT server, an application server, an SCADA server and a database server, wherein the data acquisition terminal is used for acquiring monitoring data, the IOT server is used for obtaining the monitoring data through mutual contact between a switch and a data acquisition terminal measuring point, encrypting the monitoring data and transmitting the data to the application server, the application server is used for cleaning the obtained monitoring data and transmitting the cleaned data to the SCADA server, and the SCADA server is used for dividing the data into remote measuring data and remote signaling data and transmitting the remote measuring data and the remote signaling data to the database server for database storage.
2. The power transmission line monitoring system based on cloud platform service of claim 1, wherein the monitoring data packet obtained by the data acquisition terminalComprises the following steps: wire temperature monitoring data, current monitoring data, wire sag monitoring data, lead ground wire vibration monitoring data, wire galloping monitoring data, strain clamp temperature rise monitoring data and insulator leakage current monitoring data, represent as follows:
in the formula fcon_j(t) represents the measurement of the jth device at time t,
represents the average of measurements for all stations.
3. The power transmission line monitoring system based on cloud platform service according to claim 2, wherein the monitoring data further includes: pole tower key bolt state monitoring data, pole tower slope monitoring data and transmission line area filth degree monitoring data.
4. The power transmission line monitoring system based on the cloud platform service according to claim 2, wherein the monitoring data further includes video image monitoring data.
5. The power transmission line monitoring system based on the cloud platform service of claim 1, wherein the application server is configured to perform cleaning on the obtained monitoring data, and specifically comprises: reading measured data Z obtained within a certain time periodreadAnd cleaning the read calculation data by using a training model of the stacked noise reduction self-encoder to obtain a model output value ZouputThereby calculating the model integral error, and judging the model integral error LoutputMinimum overall error L when training with training datarfminIf L is greater than L, determining whether to perform data cleaningoutput＞LrfminIndicating that the data has abnormal points, storing the abnormal points and reminding the user of reading the data abnormal points, if L is the caseoutput≤LrfminThe data can be processed and the cleaned data is output.
6. The power transmission line monitoring system based on the cloud platform service is characterized in that the IOT server, the application server, the SCADA server and the database server are all provided with a d5000 system; according to the data access quantity of the power transmission line monitoring system, the configuration mode of the server comprises a centralized d5000 micro application mode, a distributed d5000 micro application mode and a deployment mode of a cloud d5000 micro application, the access quantity is smaller than a set threshold value, the server provided with the d5000 system is configured in the centralized d5000 micro application mode, the servers are collected together for management, and the d5000 system is used for arranging related data processing application; the access amount is in the range of a set threshold value, the distributed d5000 plus micro application mode is adopted for configuration, the servers are arranged in different areas, and data of corresponding quantity are processed aiming at different areas in each server for installing d5000 and data processing application; and adopting a deployment mode of cloud d5000 micro application when the access amount is larger than the set threshold value, connecting all the servers through the Internet, and establishing a cloud data processing center for data processing.
7. The power transmission line monitoring system based on cloud platform service of claim 6, characterized in that when a deployment mode of cloud d5000 plus micro application is adopted, a data cloud platform composed of all servers is deployed in an internet large area, and the internet large area interacts with a regulation function area, a PMS and six centers of an information management large area in cloud platform service through a forward and reverse isolation device.
8. The power transmission line monitoring system based on the cloud platform service according to claim 7, wherein a micro application comprising a virtualization and cloud platform software building resource pool is deployed on a data cloud platform server in an internet large area, and the IaaS layer resource pool provides cloud host services for PaaS and SaaS layers; the hardware of the relational database service adopts a database server and array storage equipment to deploy a database system.
9. The power transmission line monitoring system based on the cloud platform service according to claim 8, which provides a basic data storage service for a PaaS layer; the hardware of the column-type database service adopts a column-type database server, Hadoop and HBase software are deployed, and column-type data storage service is provided for a PaaS layer; the internal networking of the data cloud platform adopts a gigabit network.
10. The power transmission line monitoring system based on the cloud platform service of claim 8, wherein after a data cloud platform layer is built, a basic data service function is provided based on the CIM and a standardized data operation interface.
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| CN115864661A (en) * | 2023-03-02 | 2023-03-28 | 国网山东省电力公司新泰市供电公司 | Remote monitoring method for operating data of power equipment |
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| DE102010026174A1 (en) * | 2010-07-06 | 2012-01-12 | Siemens Aktiengesellschaft | System and method for storing network parameter data of a power supply network |
| CN105044475A (en) * | 2015-08-04 | 2015-11-11 | 国网江西省电力科学研究院 | Power transmission line corridor lightning monitoring and early warning system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| DE102010026174A1 (en) * | 2010-07-06 | 2012-01-12 | Siemens Aktiengesellschaft | System and method for storing network parameter data of a power supply network |
| CN105044475A (en) * | 2015-08-04 | 2015-11-11 | 国网江西省电力科学研究院 | Power transmission line corridor lightning monitoring and early warning system |
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