CN110599066A - Power disaster monitoring method and device, computer equipment and storage medium - Google Patents
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Abstract
The application relates to a power disaster monitoring method, a power disaster monitoring system, computer equipment and a storage medium. The method comprises the following steps: obtaining the related information of the offline metering terminals in the disaster area by obtaining the operating state parameters of the metering terminals in the disaster area, further obtaining the number of the offline metering terminals, obtaining the number of the disaster-stricken users in the disaster area according to the number of the offline metering terminals and the number of the users of the line where the offline metering terminals are located, and further obtaining the power disaster degree. By adopting the method, the power disaster can be efficiently monitored.
Description
Technical Field
The application relates to the technical field of power grids, in particular to a power disaster monitoring method, a power disaster monitoring device, computer equipment and a storage medium.
Background
With the development of power technology, power transmission technology has emerged, and power stations transmit power to homes of users through power cables.
However, due to the occurrence of some disasters, the power cable or the transformer device is damaged, so that power transmission is failed, and living power utilization of users is affected. Generally, a user can only contact a power supply station by a telephone repair call, and the power supply station monitors an area affected by electric power by a repair call and then sends out a maintenance worker for repair.
However, the existing method for acquiring the power disaster area through telephone repair has a limited monitoring range, cannot determine a specific disaster fault point, is passive in repair work, and is difficult to perform comprehensive online disaster monitoring.
Disclosure of Invention
In view of the above, it is necessary to provide a method, an apparatus, a computer device and a storage medium for monitoring power disaster, which can quickly monitor power disaster in real time.
A power disaster monitoring method, the method comprising:
acquiring running state parameters of a metering terminal in a disaster area;
acquiring offline metering terminal information in a disaster area according to the operating state parameters of the metering terminals;
calculating the number of the offline metering terminals of each area according to the offline metering terminal information;
and calculating the number of disaster-stricken users in the area according to the number of the offline metering terminals to obtain the power disaster-stricken degree.
In one embodiment, the method further comprises the following steps:
and acquiring running state parameters of the metering terminal cluster in the disaster area, wherein the running states comprise all on-line states, partial on-line states and all off-line states.
In one embodiment, the method further comprises the following steps:
and acquiring the geographic information position, the offline time and the terminal identification of the offline metering terminal in the disaster area.
In one embodiment, the method further comprises the following steps:
selecting a metering terminal cluster with an operation state being all off-line states;
selecting a metering terminal cluster with the difference value between the offline time and the disaster occurrence time within a preset threshold value from all the metering terminal clusters in the offline state;
the calculating the number of the offline metering terminals in each area according to the offline metering terminal information comprises the following steps:
and calculating the number of the offline metering terminal clusters in each area according to the offline metering terminal cluster information of the selected offline metering terminal cluster.
In one embodiment, the method further comprises the following steps:
acquiring the number of the electric power users belonging to the same area as the metering terminal;
establishing a mapping relation between a metering terminal and the number of the power users in the same area;
and obtaining the number of the disaster-stricken users in the area according to the mapping relation between the offline metering terminal and the number of the users in the area.
In one embodiment, the method further comprises the following steps:
and rendering the number of the disaster-stricken users in each area by adopting a GIS technology, wherein the depth of rendering colors on a GIS map is in direct proportion to the number of the disaster-stricken users.
An electric power disaster monitoring device, the device comprising:
the metering terminal state receiving module is used for receiving the running state information of the metering terminal;
the metering terminal information analysis module is used for analyzing the running state information of the metering terminal;
and the disaster degree calculation module is used for obtaining the electric power disaster degree according to the analysis of the operation state information of the metering terminal.
In one embodiment, the metering terminal information analysis module is further configured to:
analyzing the off-line time of the metering terminal; analyzing the geographic position of the metering terminal; and calculating the offline number of the metering terminals.
A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
acquiring running state parameters of a metering terminal in a disaster area;
acquiring offline metering terminal information in a disaster area according to the operating state parameters of the metering terminals;
calculating the number of the offline metering terminals of each area according to the offline metering terminal information;
and calculating the number of disaster-stricken users in the area according to the number of the offline metering terminals to obtain the power disaster-stricken degree.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
acquiring running state parameters of a metering terminal in a disaster area;
acquiring offline metering terminal information in a disaster area according to the operating state parameters of the metering terminals;
calculating the number of the offline metering terminals of each area according to the offline metering terminal information;
and calculating the number of disaster-stricken users in the area according to the number of the offline metering terminals to obtain the power disaster-stricken degree.
According to the electric power disaster monitoring method, the electric power disaster monitoring device, the computer equipment and the storage medium, the operation state parameters of the metering terminals in the disaster area are obtained, the related information of the offline metering terminals in the disaster area is obtained, the number of the offline metering terminals is further obtained, the number of the disaster users in the disaster area is obtained according to the number of the offline metering terminals and the number of the users of the line where the offline metering terminals are located, and the degree of electric power disaster is further obtained. By monitoring the running state of the metering terminal in real time, the affected area and the user quantity of the power supply of the power cable can be quickly reflected, and the disaster degree can be known; the fault line of electric power damage can be quickly and accurately determined by acquiring the offline online state of the metering terminal, and the high-efficiency monitoring of electric power disaster is realized.
Drawings
FIG. 1 is a diagram illustrating an exemplary embodiment of a power disaster monitoring method;
FIG. 2 is a schematic flow chart of a power disaster monitoring method according to an embodiment;
fig. 3 is a schematic flow chart of computing an offline metering terminal cluster in another embodiment;
FIG. 4 is a block diagram of an embodiment of a disaster monitoring device;
FIG. 5 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The power disaster method provided by the application can be applied to the application environment shown in fig. 1. The metering terminal 102 communicates with the server 104 through a network, the server 104 acquires operation state parameters of the metering terminal in a disaster area, the metering terminal acquiesces to acquire electric power from a power grid, the operation state is consistent with the operation state of the power grid, if the electric power of the power grid is damaged, the operation state of the metering terminal is abnormal, offline metering terminal information in the disaster area is acquired according to the operation parameters of the metering terminal, then the number of the offline metering terminals in each area is calculated, the number and the range of the affected users are obtained according to the number of the offline metering terminals, and the disaster degree of the electric power is obtained in real time. The metering terminal 102 may be, but not limited to, various sensor system terminals, embedded system terminals, and a microcomputer or a cluster of the above terminals, and the server 104 may be implemented by an independent server or a server cluster composed of a plurality of servers.
In one embodiment, as shown in fig. 2, a power disaster monitoring method is provided, which is described by taking the example that the method is applied to the terminal in fig. 1, and includes the following steps:
step 202, obtaining the operation state parameters of the metering terminal in the disaster area.
The metering terminal is a terminal with a sensor for monitoring electric power, and has a network transmission function and can be in real-time communication with a remote server. The operation state parameters of the metering terminal in the disaster area can be acquired through network communication transmission, when the power grid is normal, the operation state of the metering terminal is normal operation, and the operation state of the anti-normal metering terminal is abnormal.
And 204, acquiring the information of the offline metering terminal in the disaster area according to the operation state parameters of the metering terminal.
The operation state parameters of the metering terminal comprise online and offline information parameters of the metering terminal; the offline metering terminal refers to a metering terminal which is offline due to no power supply, and the offline of the metering terminal represents that the power supply of the area is damaged. And acquiring the information of the offline metering terminal in the disaster area according to the acquired running state parameters of the metering terminal.
And step 206, calculating the number of the offline metering terminals in each area according to the offline metering terminal information.
The offline metering terminal information comprises position information of the offline metering terminal; and obtaining the geographical position information of the offline metering terminals according to the offline metering terminal information, and then obtaining the number of the offline metering terminals in each area.
And step 208, calculating the number of disaster-stricken users in the area according to the number of the offline metering terminals to obtain the power disaster-stricken degree.
According to the number of the power users corresponding to the offline metering terminal and the power grid line where the metering terminal is located, the number of the users suffering from the disaster in the area and the disaster range can be obtained, and the power disaster degree can be obtained.
According to the electric power disaster monitoring method, the electric power disaster monitoring device, the computer equipment and the storage medium, the operation state parameters of the metering terminals in the disaster area are obtained, the related information of the offline metering terminals in the disaster area is obtained, the number of the offline metering terminals is further obtained, the number of the disaster users in the disaster area is obtained according to the number of the offline metering terminals and the number of the users of the line where the offline metering terminals are located, and the degree of electric power disaster is further obtained. By monitoring the running state of the metering terminal in real time, the affected area and the user quantity of the power supply of the power cable can be quickly reflected, and the disaster degree can be known; the fault line of power damage can be quickly and accurately determined by acquiring the offline online state of the metering terminal, so that the power supply is repaired locally and the power supply is recovered.
In another embodiment, a plurality of metering terminals are arranged at the same place to serve as a metering terminal cluster, and each metering terminal is independent from each other and does not influence each other. And acquiring running state parameters of the metering terminal cluster in the disaster area, wherein the running states comprise all on-line states, partial on-line states and all off-line states. The plurality of metering terminals are used as the metering terminal clusters, the running state of the metering terminal clusters is obtained, the monitoring error caused by the damage of the metering terminals can be avoided, and the service life of monitoring points of the metering terminals can be prolonged.
In one embodiment, the information of the offline metering terminal in the disaster area includes geographical location information, offline time information and a terminal identifier of the offline metering terminal. The geographical location information may determine a location of a power grid line where the metering terminal is located, where the location includes latitude and longitude location information, address location, and terminal identification information, and the offline terminal information is represented by, for example, the following manner:
metering terminal No. 1 in district B of A city, located at N38 degrees 39 '6.48' east longitude E104 degrees 04 '35.11', last offline time: 2019-08-1114: 53:22 offline for 4 hours, 28 minutes, 33 seconds.
Metering terminal No. 2 of district B in A city, located at N38 degrees 39 '6.56' east longitude E104 degrees 04 '45.41', last offline time: 2019-08-1114: 53:22 offline for 4 hours, 28 minutes, 33 seconds.
Metering terminal No. 1 of district C of A city, located at N38 degrees 39 '4.44' east longitude E104 degrees 04 '35.12', last offline time: 2019-08-1114: 43:32 offline for 4 hours, 38 minutes, 23 seconds.
The above example information is only used for explaining the geographic position information of the metering terminal, and the example data does not represent real information.
In another embodiment, as shown in fig. 3, a method for computing an offline metering terminal cluster is provided, which includes the following steps:
step 302, acquiring all offline metering terminal clusters in running states.
The metering terminal cluster is composed of a plurality of metering terminals, the metering terminals are not affected with each other, and external monitoring is the running state of the whole cluster. The metering terminal cluster state comprises all online, partial online and all offline.
Step 304, selecting a metering terminal cluster with the difference value between the offline time and the disaster occurrence time within a preset threshold value from all metering terminal clusters in the offline state;
and step 306, calculating the number of the offline metering terminal clusters in each area according to the offline metering terminal cluster information of the selected offline metering terminal cluster.
The following examples are given for ease of understanding:
if the disaster occurrence time is 2019-08-1113: 00:00 and the preset time threshold is 12 hours, the acquired metering terminal cluster information is as follows:
metering terminal cluster 1 in district B of A city, located at (N38 ° 39 '6.48 ", E104 ° 04' 35.11"), all offline, last offline time: 2019-08-1113: 53:22 offline for 0 hour, 28 minutes, 33 seconds.
Metering terminal cluster No. 2 in district a, city B, located at (N38 ° 39 '6.56 ", E104 ° 04' 45.41"), all offline, last offline time: 2019-08-1113: 55:32 offline for 0 hour, 28 minutes, and 43 seconds.
Metering terminal cluster number 1, city a, C, located (N38 ° 39 '1.56 ", E104 ° 10' 45.41"), partly online, last offline time: 2019-08-0212: 43:32 offline time is 9 days, 4 hours, 38 minutes and 23 seconds.
Metering terminal cluster No. 2, city a, C, located at (N38 ° 39 '16.66 ", E104 ° 10' 45.52"), all online, last offline time: offline for a time period of 0.
Metering terminal cluster No. 3 in district C, city a, located at (N38 ° 39 '1.36 ", E104 ° 10' 25.41"), all offline, last offline time: 2019-07-2213: 43:41 offline for 21 days, 4 hours, 29 minutes and 43 seconds.
In the above example of the metering terminal cluster information, screening all offline metering terminal clusters is: the method comprises the steps that 1 metering terminal cluster of a B area in A city, 2 metering terminal cluster of a B area in A city and 3 metering terminal cluster of a C area in A city are selected, and then the metering terminal clusters which are within 12 hours of a disaster occurrence time are selected and respectively are the 1 metering terminal cluster of the B area in A city and the 2 metering terminal cluster of the B area in A city; then, it can be determined that the metering terminal cluster 1 in the area a and the metering terminal cluster 2 in the area B indicate that the power system in the area is affected by the disaster, and we can know that the disaster causes the two metering terminal clusters to be offline, and can obtain the area affected by the disaster, by selecting the information of the offline metering terminal clusters, error data caused by the fault of a single offline terminal cluster can be avoided, and by setting a time threshold, the metering terminal cluster which is actually damaged by the disaster and causes power damage can be screened out, and the influence degree of the power disaster can be more accurately judged.
In one embodiment, the number of electric power users belonging to the same area as the metering terminal is obtained, the data can be obtained through investigation of a power supply bureau, then a mapping relation between the metering terminal and the number of electric power users in the same area is established, and then the number of disaster-stricken users in the area is obtained according to the offline metering terminal and the mapping relation.
In one embodiment, a GIS technology is adopted to render the number of disaster-stricken users in each area, the depth of rendering colors on a GIS map is in direct proportion to the number of the disaster-stricken users, the map area is partitioned on the GIS system according to the area where a metering terminal is located, the number of the disaster-stricken users in the area is obtained according to the offline condition of the metering terminal and the user mapping relation of the area where the metering terminal is located, the GIS obtains the number of the disaster-stricken users to render the map area where the metering terminal is located, the color depth is in direct proportion to the number of the disaster-stricken users, and then the disaster. Through the GIS technology, people can know the power disaster-affected users and the disaster-affected range through a map.
It should be understood that although the various steps in the flow charts of fig. 2-3 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2-3 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternating with other steps or at least some of the sub-steps or stages of other steps.
In one embodiment, as shown in fig. 4, there is provided a power disaster monitoring device 400, including: a metering terminal state receiving module 401, a metering terminal information analyzing module 402, and a disaster-suffering degree calculating module 403, where:
a metering terminal state receiving module 401, configured to receive running state information of a metering terminal;
a metering terminal information analysis module 402, configured to analyze the operating state information of the metering terminal;
and a disaster degree calculation module 403, configured to obtain a power disaster degree according to analysis of the operation state information of the metering terminal.
The power disaster monitoring device can acquire the running state information of the metering terminal in real time through the metering terminal state receiving module 401, then analyze the running state information of the metering terminal through the metering terminal information analyzing module 402, send the acquired running information of the metering terminal to the disaster degree calculating module 403 to obtain the power disaster degree, and realize the high-efficiency monitoring of the power disaster
In one embodiment, the metering terminal information analysis module 402 is further configured to analyze an offline time of the metering terminal; analyzing the geographic position of the metering terminal; and calculating the offline number of the metering terminals.
In another embodiment, the disaster degree calculation module 403 is further configured to render the number of users in each area by using a GIS technique, where the depth of the rendering color on the GIS map is proportional to the number of disaster users.
In one embodiment, the power disaster monitoring device 400 obtains the number of power users belonging to the same area as the metering terminal, then establishes a mapping relationship between the metering terminal and the number of power users in the same area, and obtains the number of disaster-stricken users in the area according to the mapping relationship between the offline metering terminal and the number of users in the area.
In another embodiment, the metering terminal state receiving module 401 obtains operating state parameters of a metering terminal cluster in a disaster-stricken area, where the operating states include a full online state, a partial online state, and a full offline state.
In another embodiment, the power disaster monitoring device 400 is further configured to select a metering terminal cluster whose operation state is all offline states; and selecting the metering terminal clusters with the difference value between the offline time and the disaster occurrence time within a preset threshold value from all the metering terminal clusters in the offline state, and then calculating the number of the offline metering terminal clusters in each area according to the offline metering terminal cluster information of the selected offline metering terminal clusters.
For specific limitations of the power disaster monitoring device, reference may be made to the above limitations of the power disaster monitoring method, which are not described herein again. All or part of each module in the power disaster monitoring device can be realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 5. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer equipment is used for storing information data of the metering terminal. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a power disaster monitoring method.
Those skilled in the art will appreciate that the architecture shown in fig. 5 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
acquiring running state parameters of a metering terminal in a disaster area;
acquiring offline metering terminal information in a disaster area according to the operating state parameters of the metering terminals;
calculating the number of the offline metering terminals of each area according to the offline metering terminal information;
and calculating the number of disaster-stricken users in the area according to the number of the offline metering terminals to obtain the power disaster-stricken degree.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
and acquiring running state parameters of the metering terminal cluster in the disaster area, wherein the running states comprise all on-line states, partial on-line states and all off-line states.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
and acquiring the geographical position information, the off-line time and the terminal identification of the off-line metering terminal in the disaster area.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
selecting a metering terminal cluster with an operation state being all off-line states; and selecting the metering terminal clusters with the difference value between the offline time and the disaster occurrence time within a preset threshold value from all the metering terminal clusters in the offline state, and then calculating the number of the offline metering terminal clusters in each area according to the offline metering terminal cluster information of the selected offline metering terminal clusters.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
acquiring the number of electric power users belonging to the same area as the metering terminal, establishing a mapping relation between the metering terminal and the number of the electric power users in the same area, and obtaining the number of the users suffering from a disaster in the area according to the mapping relation between the offline metering terminal and the number of the users in the area and the offline metering terminal.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
and rendering the number of the disaster-stricken users in each area by adopting a GIS technology, wherein the depth of rendering colors on a GIS map is in direct proportion to the number of the disaster-stricken users. .
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring running state parameters of a metering terminal in a disaster area;
acquiring offline metering terminal information in a disaster area according to the operating state parameters of the metering terminals;
calculating the number of the offline metering terminals of each area according to the offline metering terminal information;
and calculating the number of disaster-stricken users in the area according to the number of the offline metering terminals to obtain the power disaster-stricken degree.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
and acquiring running state parameters of the metering terminal cluster in the disaster area, wherein the running states comprise all on-line states, partial on-line states and all off-line states.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
and acquiring the geographical position information, the off-line time and the terminal identification of the off-line metering terminal in the disaster area.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
selecting a metering terminal cluster with an operation state being all off-line states; and selecting the metering terminal clusters with the difference value between the offline time and the disaster occurrence time within a preset threshold value from all the metering terminal clusters in the offline state, and then calculating the number of the offline metering terminal clusters in each area according to the offline metering terminal cluster information of the selected offline metering terminal clusters.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
acquiring the number of electric power users belonging to the same area as the metering terminal, establishing a mapping relation between the metering terminal and the number of the electric power users in the same area, and obtaining the number of the users suffering from a disaster in the area according to the mapping relation between the offline metering terminal and the number of the users in the area and the offline metering terminal.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
and rendering the number of the disaster-stricken users in each area by adopting a GIS technology, wherein the depth of rendering colors on a GIS map is in direct proportion to the number of the disaster-stricken users.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A power disaster monitoring method, the method comprising:
acquiring running state parameters of a metering terminal in a disaster area;
acquiring offline metering terminal information in a disaster area according to the operating state parameters of the metering terminals;
calculating the number of the offline metering terminals of each area according to the offline metering terminal information;
and calculating the number of disaster-stricken users in the area according to the number of the offline metering terminals to obtain the power disaster-stricken degree.
2. The method of claim 1, wherein the obtaining operational state parameters of the metering terminal in the disaster area comprises:
and acquiring running state parameters of the metering terminal cluster in the disaster area, wherein the running states comprise all on-line states, partial on-line states and all off-line states.
3. The method of claim 1, wherein the obtaining of offline metering terminal information in the disaster area comprises:
and acquiring the geographical position information, the off-line time and the terminal identification of the off-line metering terminal in the disaster area.
4. The method according to claim 1, 2 or 3, wherein before calculating the number of offline metering terminals in each area according to the offline metering terminal information, the method further comprises:
selecting a metering terminal cluster with an operation state being all off-line states;
selecting a metering terminal cluster with the difference value between the offline time and the disaster occurrence time within a preset threshold value from all the metering terminal clusters in the offline state;
the step of calculating the number of the offline metering terminal clusters in each area according to the offline metering terminal cluster information comprises the following steps:
and calculating the number of the offline metering terminal clusters in each area according to the offline metering terminal cluster information of the selected offline metering terminal cluster.
5. The method according to claim 1, wherein before calculating the number of disaster-stricken users in the area according to the number of offline metering terminals and obtaining the power disaster-stricken degree, the method further comprises:
acquiring the number of the electric power users belonging to the same area as the metering terminal;
establishing a mapping relation between a metering terminal and the number of the power users in the same area;
the calculating the number of disaster-stricken users in the area according to the number of the offline metering terminals to obtain the power disaster-stricken degree comprises the following steps:
and obtaining the number of the disaster-stricken users in the area according to the mapping relation between the offline metering terminal and the number of the users in the area.
6. The method according to claim 1, wherein the step of calculating the number of disaster-stricken users in the area according to the number of the offline metering terminals to obtain the power disaster degree further comprises:
and rendering the number of the disaster-stricken users in each area by adopting a GIS technology, wherein the depth of rendering colors on a GIS map is in direct proportion to the number of the disaster-stricken users.
7. The utility model provides an electric power disaster monitoring device which characterized in that, the device includes:
the metering terminal state receiving module is used for receiving the running state information of the metering terminal;
the metering terminal information analysis module is used for analyzing the running state information of the metering terminal;
and the disaster degree calculation module is used for obtaining the electric power disaster degree according to the analysis of the operation state information of the metering terminal.
8. The apparatus of claim 7, wherein the metering terminal information analyzing module is further configured to analyze an offline time of the metering terminal; analyzing the geographic position of the metering terminal; and calculating the offline number of the metering terminals.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the steps of the method of any of claims 1 to 6 are implemented when the computer program is executed by the processor.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114167222A (en) * | 2021-12-13 | 2022-03-11 | 南方电网数字电网研究院有限公司 | Intelligent power grid fault real-time monitoring and positioning method and system |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103699973A (en) * | 2013-12-31 | 2014-04-02 | 国家电网公司 | Power grid typhoon prevention and disaster relief aid decision making support system based on GIS (Geographic Information System) |
| CN104319906A (en) * | 2014-11-20 | 2015-01-28 | 国家电网公司 | Power grid disaster-prevention control system |
| CN104931851A (en) * | 2015-05-22 | 2015-09-23 | 广西电网有限责任公司电力科学研究院 | Transmission line lightning fault intelligent analysis platform and analysis method |
| CN106022610A (en) * | 2016-05-20 | 2016-10-12 | 温州电力设计有限公司 | Typhoon prevention and resistance monitoring emergency method for electric power system |
| CN106199494A (en) * | 2016-07-25 | 2016-12-07 | 国网上海市电力公司 | A kind of intelligent diagnosis system based on metering device fault |
| CN108764596A (en) * | 2018-03-28 | 2018-11-06 | 广州供电局有限公司 | The monitoring method and monitoring system of the power failure of metering automation system |
-
2019
- 2019-09-23 CN CN201910900353.XA patent/CN110599066A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103699973A (en) * | 2013-12-31 | 2014-04-02 | 国家电网公司 | Power grid typhoon prevention and disaster relief aid decision making support system based on GIS (Geographic Information System) |
| CN104319906A (en) * | 2014-11-20 | 2015-01-28 | 国家电网公司 | Power grid disaster-prevention control system |
| CN104931851A (en) * | 2015-05-22 | 2015-09-23 | 广西电网有限责任公司电力科学研究院 | Transmission line lightning fault intelligent analysis platform and analysis method |
| CN106022610A (en) * | 2016-05-20 | 2016-10-12 | 温州电力设计有限公司 | Typhoon prevention and resistance monitoring emergency method for electric power system |
| CN106199494A (en) * | 2016-07-25 | 2016-12-07 | 国网上海市电力公司 | A kind of intelligent diagnosis system based on metering device fault |
| CN108764596A (en) * | 2018-03-28 | 2018-11-06 | 广州供电局有限公司 | The monitoring method and monitoring system of the power failure of metering automation system |
Non-Patent Citations (1)
| Title |
|---|
| 刘新新: "基于计量自动化的10kV线路及其台区同期线损研究", 《中国优秀硕士学位论文全文数据库》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114167222A (en) * | 2021-12-13 | 2022-03-11 | 南方电网数字电网研究院有限公司 | Intelligent power grid fault real-time monitoring and positioning method and system |
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