Power grid monitoring and early warning system and method based on influence of meteorological disasters in one graph of power grid

Abstract

The invention belongs to the field of power grid monitoring and early warning, and provides a power grid monitoring and early warning system and method based on a power grid graph meteorological disaster influence, and the method comprises the steps: obtaining corresponding meteorological early warning information based on the position information when a user logs in, and determining lines in an affected region range and affected line information through employing the meteorological early warning information; step-by-step judgment is carried out according to the influence line information and the incidence relation between the lines, a fault line is determined, and a maintenance task work order is generated; and determining the position of a fault line based on the maintenance task work order, searching by taking the position of the fault line as a circle center, determining operators within a distance threshold range from the position of the fault line, and selecting the operator closest to the position of the fault line to distribute the maintenance task work order. Early warning is given out by monitoring disasters in real time, key users and line positions which are possibly affected are accurately recognized, normal operation of lines of the key users is ensured through autonomous study and judgment and accurate inspection, and stable power supply of key areas is guaranteed.

Description

Technical Field

[0001] The present invention belongs to the technical field of power grid monitoring and early warning, and in particular relates to a power grid monitoring and early warning system and method based on a one-picture power grid meteorological disaster impact. Background Art

[0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art.

[0003] With the continuous expansion of the scale of power grids and the development of information technology, new standards and requirements have been put forward for power supply reliability. Among them, power meteorological services are an indispensable component of the current smart grid management system. Because the impact of meteorological disasters on power grid lines cannot be ignored, a series of methods have emerged to use meteorological disaster data to monitor power grid line faults in real time. Since there are many reasons for power grid line equipment failures, relying solely on meteorological disasters as an influencing factor to monitor and predict power grid circuit failures will lead to inaccurate results. Although existing methods also use meteorological disasters combined with other power grid data for comprehensive analysis, they often ignore the interdependence between the various branches of the power grid, and the fusion granularity between power grid data is not enough, resulting in the existing precision and accuracy of power grid line fault analysis based on meteorological disasters. At the same time, due to the lack of accuracy in the early monitoring, the subsequent repair of fault disasters will also have problems such as untimely repairs and inaccurate repair locations. Summary of the invention

[0004] In order to solve the above problems, the present invention proposes a power grid monitoring and early warning system and method for the impact of meteorological disasters based on a one-picture power grid map. The present invention establishes meteorological, operation and inspection, and marketing data channels and then integrates them to analyze and judge power outages caused by meteorological disasters, so as to better carry out emergency repairs and restoration work, so as to achieve the requirements of accurate analysis to households and realize the purpose of timeliness, accuracy, and compliance of power outage analysis.

[0005] According to some embodiments, a first solution of the present invention provides a power grid monitoring and early warning method based on a power grid map of meteorological disasters, which adopts the following technical solutions:

[0006] A power grid monitoring and early warning method for meteorological disaster impact based on a power grid map, comprising:

[0007] Obtain corresponding weather warning information based on the user's location information when logging in, and use the weather warning information to determine the routes within the affected area and the affected route information;

[0008] Make judgments step by step based on the affected line information and the relationship between lines, determine the faulty line and generate a maintenance task work order;

[0009] The fault line location is determined based on the maintenance task work order. The fault line location is searched with the fault line location as the center of the circle to determine the operators within the distance threshold range from the fault line location. The operator closest to the fault line location is selected to dispatch the maintenance task work order.

[0010] Furthermore, the corresponding weather warning information is obtained based on the location information of the user when logging in, and the lines within the affected area and the affected line information are determined using the weather warning information, specifically:

[0011] Based on the location information of the user when logging in, determine the city information to which the user belongs, and then obtain the weather warning information of the corresponding location of the city;

[0012] Determine the affected line information of the affected area based on the meteorological warning information and the information of the relevant cities and prefectures;

[0013] The affected line information includes line code, line name, time period, update frequency, and warning type.

[0014] Furthermore, the step-by-step judgment is performed based on the affected line information and the correlation between the lines to determine the faulty line and generate a maintenance task work order, specifically:

[0015] The main line in the power grid main line information that coincides with the affected line information and meets the voltage level threshold is used as the main line affecting line, and then it is determined whether the main line affecting line has a power outage. If so, a main line power outage task is generated;

[0016] If not, obtain the branch line information of the line affected by the main line that is not out of power, and determine whether the branch line has a power outage. If so, generate a branch power outage task;

[0017] If not, then obtain the substation information contained in the branch line that has not been powered off, and determine whether the substation contained in the branch line that has not been powered off has a power outage. If so, generate a substation power outage task;

[0018] If not, obtain the low-voltage branch information of the non-power-off substation area, and determine whether a power outage occurs in the low-voltage branch of the non-power-off substation area. If so, generate a low-voltage branch power outage task;

[0019] If not, obtain the meter box information of the non-power-off low-voltage branch, and determine whether the meter box under the non-power-off low-voltage branch has a power outage. If so, generate a meter box power outage task;

[0020] If not, obtain the user information of the non-power outage meter boxes and determine whether a power outage has occurred among the users of the non-power outage meter boxes. If so, generate a single-household power outage task and complete the power outage-to-household level-by-level analysis.

[0021] Furthermore, the main line in the power grid main line information that coincides with the influencing line information and meets the voltage level threshold is used as the main line influencing line, specifically:

[0022] Obtain main line information, including power supply unit, substation name, voltage level, line name, line code, number of affected branch lines, number of affected special transformers, number of affected public transformers, number of affected low-voltage users, power outage scope, power outage date, power outage time, power supply time, power outage duration, power outage type, and power outage assessment;

[0023] Based on the main line information, the main line that meets the voltage level threshold is screened out, and then it is determined whether the line code of the main line that meets the voltage level threshold matches the line code of the affected line. If so, it is determined to be the main line affecting line, and then it is determined whether the main line affecting line has a power outage.

[0024] Furthermore, the branch line information, substation information, low-voltage branch information, meter box information and user information all include the power outage date, power outage time, power supply time, power outage duration, power outage type, and power outage assessment.

[0025] Furthermore, the corresponding longitude and latitude coordinate information is determined based on the affected line information, and then the information is marked on a power grid map, and displayed on the power grid map in different layers according to the type of meteorological warning.

[0026] Furthermore, if the search is not found within the threshold range, the search range is expanded, the real-time location of the operator is continuously obtained and compared with the location of the faulty line, the distance between the current location of the faulty line and the path of the operator is continuously calculated, and the operator who is closest to the location of the faulty line is selected to dispatch the maintenance task work order.

[0027] According to some embodiments, the second solution of the present invention provides a power grid monitoring and early warning system based on a power grid map of meteorological disasters, which adopts the following technical solutions:

[0028] The power grid monitoring and early warning system based on a grid map of meteorological disasters includes:

[0029] The weather warning affected line module is configured to obtain corresponding weather warning information based on the location information of the user when logging in, and use the weather warning information to determine the lines within the affected area and the affected line information;

[0030] A maintenance task work order generation module is configured to make step-by-step judgments based on the affected line information and the correlation between the lines, determine the faulty line and generate a maintenance task work order;

[0031] The search module is configured to determine the location of the faulty line based on the maintenance task work order, search with the faulty line location as the center of the circle, determine the operators within the distance threshold range from the faulty line location, and select the operator closest to the faulty line location to dispatch the maintenance task work order.

[0032] According to some embodiments, a third aspect of the present invention provides a computer-readable storage medium.

[0033] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps in the power grid monitoring and early warning method for meteorological disaster impacts based on a power grid map as described in the first aspect above.

[0034] According to some embodiments, a fourth aspect of the present invention provides a computer device.

[0035] A computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps in the method for monitoring and early warning of the impact of meteorological disasters on a power grid based on a single map of the power grid as described in the first aspect above are implemented.

[0036] Compared with the prior art, the present invention has the following beneficial effects:

[0037] The present invention connects the electric power meteorology, distribution automation system, intelligent fusion terminal (SCU), low-voltage branch monitoring unit (LTU), and marketing procurement system, and relies on big data mining technology to construct a full-chain intelligent management model scenario for power outage information analysis under the influence of meteorological disasters, effectively solving the problem of information inconsistency in various links of the project, realizing the whole process control of disaster warning, power outage monitoring and power outage analysis, and accurately distinguishing the scope of power outages caused by meteorological disasters, generating corresponding work orders, and allocating corresponding work orders by obtaining the location of maintenance personnel in real time, so as to facilitate the reasonable arrangement and dispatch of corresponding power outage events, with the purpose of improving the operation efficiency of the power grid and the decision-making of power supply operation management, and with the standard of improving the level of lean management capabilities, to relieve the pressure of grassroots personnel, reduce the company's management costs, improve the quality of power supply services, and ensure the reliability of regional power supply. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The accompanying drawings in the specification, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0039] Figure 1 It is a flow chart of a method for monitoring and early warning of a power grid based on a grid map of meteorological disasters in an embodiment of the present invention;

[0040] Figure 2is a flowchart of task assignment for operators in an embodiment of the present invention;

[0041] Figure 3 It is a power outage analysis flow chart in an embodiment of the present invention. DETAILED DESCRIPTION

[0042] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0043] It should be noted that the following detailed descriptions are all illustrative and intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present invention belongs.

[0044] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit exemplary embodiments according to the present invention. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprising" and / or "including" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0045] In the absence of conflict, the embodiments of the present invention and the features of the embodiments may be combined with each other.

[0046] Embodiment 1

[0047] like Figure 1 As shown, this embodiment provides a power grid monitoring and early warning method for the impact of meteorological disasters based on a power grid map. This embodiment uses the method applied to a server as an example. It can be understood that the method can also be applied to a terminal, and can also be applied to a terminal, a server, and a system, and is implemented through the interaction between the terminal and the server. The server can be an independent physical server, or a server cluster or a distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network servers, cloud communications, middleware services, domain name services, security services CDN, and big data and artificial intelligence platforms. The terminal can be a smart phone, a tablet computer, a laptop computer, a desktop computer, a smart speaker, a smart watch, etc., but is not limited to this. The terminal and the server can be directly or indirectly connected via wired or wireless communication, which is not limited in this application. In this embodiment, the method includes the following steps:

[0048] Obtain corresponding weather warning information based on the user's location information when logging in, and use the weather warning information to determine the routes within the affected area and the affected route information;

[0049] Make judgments step by step based on the affected line information and the relationship between lines, determine the faulty line and generate a maintenance task work order;

[0050] The faulty line location is determined based on the maintenance task work order. The faulty line location is used as the center of the search circle to determine the operators within the distance threshold range from the faulty line location. The operator closest to the faulty line location is selected to dispatch the maintenance task work order.

[0051] like Figure 2 As shown, this embodiment uses a grid map to monitor the risk of typhoons, wildfires, heavy snow, high temperatures, and rainstorms, and issues early warnings to accurately identify key users and line locations that may be affected. Accurate inspections ensure the normal operation of key user lines and reduce power outage time.

[0052] The specific plan is as follows:

[0053] (1) Acquisition of regional meteorological disaster data:

[0054] The system log-in personnel obtain the city information of the current logged-in user, integrate the power grid operation and inspection meteorological management micro-application according to the city information, and collect the line information affected by the meteorological warning information in real time. The line information collected at this time mainly includes: line number, line name, time period, update frequency, and warning type. Through line coding, integrate the appropriate platform to obtain the longitude and latitude coordinate information corresponding to the line, and then mark the information on the map. According to the type of warning (typhoon, wildfire, blizzard, high temperature, heavy rain), it is displayed on the map with different layers to provide a data basis for subsequent data analysis.

[0055] According to the affected line information obtained from the early warning information, by clicking the map mark point, the affected line information is analyzed and the work order information is generated.

[0056] Based on a grid map, we build typhoon, wildfire, blizzard, high temperature, rainstorm and other meteorological layers, as well as dynamic meteorological monitoring layers such as wind flow field, monitoring station, satellite cloud map, radar echo, and grid structure. We obtain severe weather warning information from the smart electrical meteorological technology support platform, and display the scope of transmission and distribution lines that may be affected according to the disaster level and scope.

[0057] Table 1 Update frequency of meteorological disaster data by category

[0058] Wildfire Blizzard typhoon high temperature rainstorm Time period Last 1 day Next 3 days real time Next 3 days Next 3 days Update frequency Half an hour / time 2 times a day real time 1 time per day 2 times a day Whether it is stored in the warehouse yes yes no yes yes Line Coding ...... ...... ...... ...... ...... Line Name ...... ...... ...... ...... ...... Coordinate information ...... ...... ...... ...... ......

[0059] (2) Task Order Generation

[0060] like Figure 3 As shown, the following analysis process uses a T+1 period to analyze and judge the collected power outage data.

[0061] Based on the meteorological disaster warning data information, the affected line information is obtained. Through the integrated distribution automation, substation intelligent fusion terminal (SCU), low-voltage branch monitoring unit (LTU), marketing, procurement and other systems, the main line, branch line, substation, low-voltage branch, meter box, and user power outage information are gradually analyzed according to the affected lines, and a work order is generated.

[0062] (2.1) Main line power outage analysis: By integrating the distribution automation system and the equipment asset lean management system, main line equipment data and equipment power outage events are obtained, mainly including (power supply unit, substation name, voltage level, line name, line code, number of affected branch lines, number of affected special transformers, number of affected public transformers, number of affected low-voltage users, power outage scope, power outage date, power outage time, power supply time, power outage duration, power outage type, and power outage assessment). The obtained main line data is then filtered out by voltage level to obtain the line information corresponding to the 10kV voltage, and then the line code in the 10kV voltage corresponding line information is matched with the line code of the above-mentioned affected lines. Data information that is consistent with both the distribution automation system and the affected lines is collected. Based on the information content at this time, it is obtained whether the main line is currently out of power. At this time, if the main line data shows that there is no power outage, continue to analyze; if the main line is found to be out of power, a main line power outage task is generated according to the power outage information status.

[0063] (2.2) Branch power outage analysis: Based on the affected main line information obtained in the above step (2.1), the line codes in the main line are collected, and the distribution automation system is integrated through the main line code to obtain the branch information corresponding to each main line (power supply unit, substation name, branch line name, main line code, branch line code, number of affected special transformers, number of affected public transformers, number of affected low-voltage users, power outage scope, power outage date, power outage time, power supply time, power outage duration, power outage type, power outage assessment). If the branch line data shows that there is no power outage, continue the analysis. If a branch power outage is found, a branch power outage task is generated based on the power outage information status.

[0064] (2.3) Substation power outage analysis: Based on the information of the branches that have not been shut down collected in the above step (2.2), the corresponding branch line coding information is obtained. The branch line coding information is then integrated into the substation intelligent fusion terminal (SCU) system and the user procurement system to collect the corresponding data information of the substation, which mainly includes (power supply unit, substation name, line name, line code, substation name, substation code, number of affected low-voltage branches, number of affected low-voltage users, power outage date, power outage time, power supply time, power outage duration, power outage type, power outage assessment). At the same time, the substation power outage events obtained at this time are monitored, and the substation power outage tasks are generated for the substation power outage events according to the power outage information status, and the non-outage substations continue to be analyzed.

[0065] (2.4) Analysis of low-voltage branch power outages: According to the information of the substations that have not been shut down obtained in the above step (2.3), the corresponding substation codes are obtained, and the low-voltage branch monitoring unit (LTU) system is integrated through the substation codes at this time. At this time, the low-voltage branch power outage event information is obtained, which mainly includes (power supply unit, substation name, line name, substation name, substation code, low-voltage branch line code, number of affected low-voltage branches, number of affected low-voltage users, power outage date, power outage time, power supply time, power outage duration, power outage type, and power outage assessment). Monitor whether the low-voltage branch has a power outage based on the substation information. For the low-voltage branch that has been shut down, a low-voltage branch power outage task is generated based on the power outage information status, and the low-voltage branch that has not been shut down continues to be analyzed.

[0066] (2.5) Meter box power outage analysis: For the low-voltage branch information collected in (2.4) that has not been shut down, the marketing procurement system is continued to be called by collecting the low-voltage branch line codes in the low-voltage branches, and then the meter box power outage information is obtained, and the content includes (power supply unit, substation name, line name, station area name, low-voltage branch line name, low-voltage branch line code, meter box name, meter box code, number of low-voltage users affected, power outage date, power outage time, power supply time, power outage duration, power outage type, power outage assessment). At this time, the meter box power outage information is continued to be analyzed, and forward and reverse assessments are performed based on the topological relationship of the pms3.0 equipment ledger. The meter box power outage event caused by the power outage of the concentrator in front of the meter box is comprehensively calculated as "meter box power outage". For the meter box power outage event, a meter box power outage task is generated according to the power outage information status, and non-power outage information continues to be analyzed.

[0067] (2.6) User power outage analysis: Collect the meter box code information in the meter box data that has not been shut down obtained in (2.5), and use the meter box code to integrate the marketing and procurement system, implement it to the household, and obtain the power outage information of each household under the meter box, which mainly includes (power supply unit, substation name, line name, station area name, low-voltage branch line name, meter box name, meter box code, user code, user name, power outage date, power outage time, power supply time, power outage duration, power outage type, power outage assessment situation), and generate a single-household power outage task order based on the power outage information status for the users who have been shut down. Finally, the process ends, and the six-level analysis of power outages is analyzed level by level, and work order reminders are issued for the parts that have been shut down.

[0068] (3) Worker route planning

[0069] Based on the iState Grid mobile terminal, the operating personnel's location information is obtained in real time (the location information is sent every 2 minutes, including the longitude and latitude of the personnel's current location), and the PC terminal displays the latest personnel location through a map of the power grid.

[0070] By clicking on the task list, the latitude and longitude coordinate information of the current task list is obtained, and then the operator within 30 kilometers of the current task list is automatically searched. By continuously obtaining the real-time location information of the operator, it is compared with the latitude and longitude information located in the current task in real time, and the Floyd-Warshall algorithm is used to continuously calculate the path distance between the current task point and the operator and the time it takes to reach the task point, as shown in Table 2; if the automatic acquisition cannot find the operator for a long time, the operator who meets the conditions can also be manually screened out by location range, and then the task is assigned.

[0071] Table 2 Worker screening path table

[0072] Person A Personnel B Personnel C Personnel D ... Number of routes 2 1 2 3 ... Shortest distance 10 18 15 6 ... Time to arrive 30min 45min 32min 12min ...

[0073] Optimal personnel planning requires comprehensive consideration of personnel response time, distance, and departure time to improve task handling efficiency.

[0074] (4) Work plan arrangement

[0075] The city and prefecture-level city specialists can view the scope of meteorological disasters, faults, hidden dangers, patrol mission locations, and real-time locations of operators in real time on the PC by switching layers. The system automatically calculates the distance and route planning for operators around the task point to reach the site, and after manual review, the task is dispatched and sent directly to the mobile devices of operators of the relevant operation and maintenance teams.

[0076] (5) Elimination of defects and hidden dangers

[0077] Operators can view the route plan of the task point on mobile devices, and upload the work results through mobile devices after arriving at the site to eliminate hidden dangers, deal with defects, and conduct inspections. The PC can view the work status in real time.

[0078] This embodiment makes full use of the grid operation and inspection meteorological management and grid one map sharing resources to realize the application of key scenarios for power operation protection and meet the meteorological analysis needs required for the development of power distribution professional business. It mainly includes the analysis and display of disaster meteorological heat map and impact range, the analysis of the impact of disaster meteorology on distribution network facilities to obtain the data statistics of power outage lines and power outage areas, the analysis and statistics of data affected by disaster meteorology by work order type, the impact analysis of power protection equipment (including users, lines, etc.), the analysis and statistics of the impact of distribution network operation plan, and real-time warning of disaster weather. The method based on geographic location visualization meets the transparent and observable needs of provincial companies and various management units for the impact range of weather disasters, operation plan response measures, etc.

[0079] This embodiment involves technical fields such as one map of the power grid and electric power meteorology. In view of the hidden dangers of line failures caused by frequent meteorological disasters in cities and prefectures, one map of the power grid, electric power meteorology, i distribution network patrol application, distribution automation system, intelligent fusion terminal (SCU) system of the substation, low-voltage branch monitoring unit (LTU) system, and marketing procurement system are comprehensively utilized to issue early warnings through real-time monitoring of disasters, intuitively present power grid information, accurately identify key users and line locations that may be affected, independently determine and accurately patrol to ensure the normal operation of lines for key users, reduce power outage time, ensure stable power supply in key areas, and improve power supply reliability.

[0080] Embodiment 2

[0081] This embodiment provides a power grid monitoring and early warning system for meteorological disaster impact based on a power grid map, including:

[0082] The weather warning affected line module is configured to obtain corresponding weather warning information based on the location information of the user when logging in, and use the weather warning information to determine the lines within the affected area and the affected line information;

[0083] A maintenance task work order generation module is configured to make step-by-step judgments based on the affected line information and the correlation between the lines, determine the faulty line and generate a maintenance task work order;

[0084] The search module is configured to determine the location of the faulty line based on the maintenance task work order, search with the faulty line location as the center of the circle, determine the operators within the distance threshold range from the faulty line location, and select the operator closest to the faulty line location to dispatch the maintenance task work order.

[0085] The examples and application scenarios implemented by the above modules and corresponding steps are the same, but are not limited to the contents disclosed in the above embodiment 1. It should be noted that the above modules as part of the system can be executed in a computer system such as a set of computer executable instructions.

[0086] The description of each embodiment in the above embodiments has different emphases. For parts not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0087] The proposed system can be implemented in other ways. For example, the system embodiment described above is only illustrative, and the division of the modules is only a logical function division. In actual implementation, there may be other division methods, such as multiple modules can be combined or integrated into another system, or some features can be ignored or not executed.

[0088] Embodiment 3

[0089] This embodiment provides a computer-readable storage medium having a computer program stored thereon. When the program is executed by a processor, the steps in the method for monitoring and early warning of the impact of meteorological disasters on a power grid based on a single map of the power grid as described in the first embodiment above are implemented.

[0090] Embodiment 4

[0091] This embodiment provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, the steps in the method for monitoring and early warning of the impact of meteorological disasters on a power grid based on a single map of the power grid as described in the first embodiment above are implemented.

[0092] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of hardware embodiments, software embodiments, or embodiments combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) containing computer-usable program code.

[0093] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0094] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0095] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0096] A person skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program, and the program can be stored in a computer-readable storage medium, and when the program is executed, it can include the processes of the embodiments of the above-mentioned methods. The storage medium can be a disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM), etc.

[0097] Although the above describes the specific implementation mode of the present invention in conjunction with the accompanying drawings, it is not intended to limit the scope of protection of the present invention. Those skilled in the art should understand that various modifications or variations that can be made by those skilled in the art on the basis of the technical solution of the present invention without creative work are still within the scope of protection of the present invention.

Claims

1. A power grid monitoring and early warning method for the impact of meteorological disasters based on a power grid map, characterized in that: include: Obtain corresponding weather warning information based on the user's location information when logging in, and use the weather warning information to determine the routes within the affected area and the affected route information; Make judgments step by step based on the affected line information and the relationship between lines, determine the faulty line and generate a maintenance task work order; The faulty line location is determined based on the maintenance task work order. The faulty line location is used as the center of the search circle to determine the operators within the distance threshold range from the faulty line location. The operator closest to the faulty line location is selected to dispatch the maintenance task work order.

2. The method for monitoring and early warning of the impact of meteorological disasters on a power grid based on a power grid map according to claim 1, characterized in that: The method of obtaining corresponding weather warning information based on the location information of the user when logging in, and determining the routes within the affected area and the affected route information using the weather warning information, is specifically as follows: Based on the location information of the user when logging in, determine the city information to which the user belongs, and then obtain the weather warning information of the corresponding location of the city; Determine the affected line information of the affected area based on the meteorological warning information and the information of the relevant cities and prefectures; The affected line information includes line code, line name, time period, update frequency, and warning type.

3. The method for monitoring and early warning of the impact of meteorological disasters on the power grid based on a power grid map according to claim 1, characterized in that: The step-by-step judgment is performed based on the affected line information and the correlation between the lines to determine the faulty line and generate a maintenance task work order, specifically: The main line in the power grid main line information that coincides with the affected line information and meets the voltage level threshold is used as the main line affecting line, and then it is determined whether the main line affecting line has a power outage. If so, a main line power outage task is generated; If not, obtain the branch line information of the line affected by the main line that is not out of power, and determine whether the branch line has a power outage. If so, generate a branch power outage task; If not, then obtain the substation information contained in the branch line that has not been powered off, and determine whether the substation contained in the branch line that has not been powered off has a power outage. If so, generate a substation power outage task; If not, obtain the low-voltage branch information of the non-power-off substation area, and determine whether a power outage occurs in the low-voltage branch of the non-power-off substation area. If so, generate a low-voltage branch power outage task; If not, obtain the meter box information of the non-power-off low-voltage branch, and determine whether the meter box under the non-power-off low-voltage branch has a power outage. If so, generate a meter box power outage task; If not, obtain the user information of the non-power outage meter boxes and determine whether a power outage has occurred among the users of the non-power outage meter boxes. If so, generate a single-household power outage task and complete the power outage-to-household level-by-level analysis.

4. The method for monitoring and early warning of the impact of meteorological disasters on a power grid based on a power grid map as claimed in claim 3, characterized in that: The main line information of the power grid that coincides with the affected line information and meets the voltage level threshold is used as the main line influencing line, specifically: Obtain main line information, including power supply unit, substation name, voltage level, line name, line code, number of affected branch lines, number of affected special transformers, number of affected public transformers, number of affected low-voltage users, power outage scope, power outage date, power outage time, power supply time, power outage duration, power outage type, and power outage assessment; Based on the main line information, the main line that meets the voltage level threshold is screened out, and then it is determined whether the line code of the main line that meets the voltage level threshold matches the line code of the affected line. If so, it is determined to be the main line affecting line, and then it is determined whether the main line affecting line has a power outage.

5. The method for monitoring and early warning of power grid based on a power grid map of meteorological disasters as claimed in claim 3, characterized in that: Branch line information, substation information, low-voltage branch information, meter box information and user information all include the power outage date, power outage time, power supply time, power outage duration, power outage type, and power outage assessment.

6. The method for monitoring and early warning of the impact of meteorological disasters on a power grid based on a power grid map as claimed in claim 2, characterized in that: The corresponding longitude and latitude coordinate information is determined according to the affected line information, and then the information is marked on a power grid map, and displayed on the power grid map in different layers according to the type of meteorological warning.

7. The method for monitoring and early warning of the impact of meteorological disasters on a power grid based on a power grid map according to claim 1, characterized in that: If the search fails within the threshold range, the search range is expanded, the real-time location of the operator is continuously obtained and compared with the location of the faulty line, the distance between the current location of the faulty line and the operator's path is continuously calculated, and the operator who is closest to the location of the faulty line is selected to dispatch the maintenance task work order.

8. A power grid monitoring and early warning system based on a power grid map showing the impact of meteorological disasters, characterized in that: include: The weather warning affected line module is configured to obtain corresponding weather warning information based on the location information of the user when logging in, and use the weather warning information to determine the lines within the affected area and the affected line information; A maintenance task work order generation module is configured to make step-by-step judgments based on the affected line information and the correlation between the lines, determine the faulty line and generate a maintenance task work order; The search module is configured to determine the location of the faulty line based on the maintenance task work order, search with the faulty line location as the center of the circle, determine the operators within the distance threshold range from the faulty line location, and select the operator closest to the faulty line location to dispatch the maintenance task work order.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps in the power grid monitoring and early warning method for the impact of meteorological disasters based on a power grid map as described in any one of claims 1 to 7 are implemented.

10. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the steps in the power grid monitoring and early warning method for meteorological disaster impact based on a power grid one-picture are implemented as described in any one of claims 1-7.

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