Large-scale power grid management system

Abstract

The invention relates to the technical field of large-scale power grid management, in particular to a large-scale power grid management system, which comprises a data acquisition module, a timing module, a data transmission module and an acquisition monitoring module, and is characterized in that the data acquisition module is mainly used for acquiring required data; the acquisition monitoring module comprises a data monitoring module, an anomaly analysis module, a maintenance scheme production module, a maintenance end reminding module and a self-adjustment module, the data monitoring module can detect data acquired by the data acquisition module, so that the problem of the data acquisition module is found in time, and compared with an existing management system, the management system has the advantages that the management efficiency is improved; the system has a sensor self-checking function, prevents data from being influenced by damage of a sensor network, thereby causing wrong guidance to the system, has a large problem quick response function, ensures normal work of power grid equipment, has a user recommendation function, and can enable a user to well understand the advantage of power utilization in a recommended mode.

Description

Technical Field

[0001] The present invention relates to the technical field of large-scale power grid management, and in particular to a management system for a large-scale power grid. Background Art

[0002] Large-scale power grid management system aims to achieve efficient, reliable and safe management of large-scale power grids. The system integrates advanced information technology, automation technology and intelligent control technology to improve the operation efficiency, stability and reliability of the power grid, while reducing operating costs and environmental impact.

[0003] The existing management system may have data anomalies due to problems with the equipment at the collection end during operation. At this time, the staff will detect the power grid equipment based on the anomalies, but the problem is caused by the collection equipment, which will mislead the staff and affect the efficiency of the staff's processing. Summary of the invention

[0004] The purpose of the present invention is to provide a management system for a large-scale power grid to solve the problems raised in the above background technology.

[0005] To achieve the above purpose, the present invention provides the following technical solutions: including a data acquisition module, a timing module, a data transmission module, a collection monitoring module, a data preliminary analysis module, an emergency response module, a data storage module, a user push module, a data analysis module, an intelligent decision-making module, and a remote execution module. The data acquisition module mainly collects the required data. A sensor network is provided at the data acquisition module to obtain the required data through the sensor network. The acquisition monitoring module includes a data monitoring module, an abnormality analysis module, a maintenance plan production module, a maintenance end reminder module and a self-adjustment module. The data monitoring module can detect the data collected by the data acquisition module, so as to timely discover problems with the data acquisition module; The abnormality analysis module can perform data analysis when the data monitoring module finds a problem, thereby analyzing the abnormal part of the data and the cause of the abnormality; The maintenance plan production module can sort out the analysis results of the abnormality analysis module and form a maintenance plan based on the analysis results, so as to accurately guide the maintenance method and facilitate the staff to perform rapid maintenance; The maintenance end reminder module can remind the maintenance personnel, so that the maintenance personnel can guide the part of the power grid that has problems and carry out repairs, and also help the maintenance personnel to respond quickly; The self-adjusting module can directly self-adjust the data acquisition module when the problem is relatively minor, thereby restoring the sensor network of the data acquisition module to normal operation.

[0006] Preferably, the timing module can form a timing for the data collection module so that the data collection module will collect mobile data every time a period of time passes; The data transmission module can transmit the data of the data acquisition module to the acquisition monitoring module or the data preliminary analysis module to facilitate the work of the system.

[0007] Preferably, the data preliminary analysis module can perform preliminary analysis on the data collected by the data collection module, so as to quickly detect whether the power grid equipment has major problems.

[0008] Preferably, the emergency response module can respond quickly when the data preliminary analysis module finds that there are major problems with the power grid equipment, allowing the system to directly skip multiple parts to work, thereby increasing the response speed of the system.

[0009] Preferably, the data storage module will store the results of the preliminary analysis of the data preliminary analysis module for use by the data analysis module.

[0010] Preferably, the data analysis module can perform in-depth analysis on the collected data, thereby discovering minor problems existing in the power grid equipment.

[0011] Preferably, the user push module can organize the words according to the big data and the data structure of the system analysis, and send them to the users, so that the users can clearly understand their own electricity usage, and can well understand the benefits of the recommended electricity usage methods, so that the users can better adopt the electricity usage suggestions.

[0012] Preferably, the user push module includes a large database, a speech arrangement module, a power push module, a data information encryption module and a user interaction module. The large database is a data storage repository, which mainly stores speech used for communicating with users. The speech arrangement module can combine and arrange the speech and analysis structure inside the speech arrangement module, so that the user can understand the electricity usage more clearly and know how to use electricity more economically; The power push module will send the speech formed by the speech arrangement module to the user in the form of SMS or user terminal transmission; The data information encryption module can encrypt the data sent by the power push module, thereby preventing the data sent by the power push module from being tampered with; The user interaction module can help users to clearly understand the data situation.

[0013] Preferably, the intelligent decision-making module can form a final adjustment plan based on the analysis structure of the data analysis module.

[0014] Preferably, the remote execution module can adjust the power grid equipment according to the solution produced by the intelligent decision-making module so that problems in the power grid equipment can be solved, thereby allowing the system to maintain normal operation.

[0015] Compared with the prior art, the present invention has the following beneficial effects: 1. The system monitors the data acquisition module in real time through the data monitoring module, so that when there is a problem with the sensor network of the data acquisition module, it can be discovered in time, so that the erroneous data will not be transmitted to the main system, and the main system will not make errors in judging the data, thereby avoiding affecting the judgment of the staff, causing maintenance interference and affecting the maintenance speed. 2. The system will promptly respond to obvious problems through the emergency response module, thereby facilitating rapid processing by the remote execution module, which will not delay the operation of the power grid equipment. The rapid response of the emergency response module can enable the power grid equipment to quickly resume work, thus avoiding huge losses caused by the shutdown of the power grid equipment.

[0016] 3. The system can organize data into words that are easier for users to understand through the wording organization module. This will help users more clearly understand the benefits of using electricity in the recommended way, and make it easier for users to use electricity in the recommended way. This will enable electricity to be used more smoothly and reduce the burden on the operation of power grid equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is the overall flow chart of the present invention; Figure 2 The flow chart of the monitoring module is collected for the present invention; Figure 3 This is a flow chart of the user push module of the present invention.

[0018] In the figure: 1. Data acquisition module; 2. Timing module; 3. Data transmission module; 4. Acquisition monitoring module; 401. Data monitoring module; 402. Abnormal analysis module; 403. Maintenance plan production module; 404. Maintenance end reminder module; 405. Self-adjustment module; 5. Data preliminary analysis module; 6. Emergency response module; 7. Data storage module; 8. User push module; 801. Big database; 802. Speech sorting module; 803. Electricity push module; 804. Data information encryption module; 805. User interaction module; 9. Data analysis module; 10. Intelligent decision-making module; 11. Remote execution module. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] See also Figure 2 The present invention provides a technical solution: including a data acquisition module 1, a timing module 2, a data transmission module 3, an acquisition monitoring module 4, a data preliminary analysis module 5, an emergency response module 6, a data storage module 7, a user push module 8, a data analysis module 9, an intelligent decision module 10, and a remote execution module 11. The data acquisition module 1 mainly collects the required data. A sensor network is set at the data acquisition module 1 to obtain the required data through the sensor network. The acquisition monitoring module 4 includes a data monitoring module 401, an abnormality analysis module 402, a maintenance plan production module 403, a maintenance end reminder module 404 and a self-adjustment module 405, and the output end of the data monitoring module 401 is connected to the abnormality analysis module 402, the output end of the abnormality analysis module 402 is connected to the maintenance plan production module 403, and the output end of the maintenance plan production module 403 is connected to the maintenance end reminder module 404 and the self-adjustment module 405, the maintenance end reminder module 404 and the self-adjustment module 405 are connected in parallel, and the data monitoring module 401 can detect the data collected by the data acquisition module 1, so as to timely discover the problems of the data acquisition module 1; The abnormality analysis module 402 can perform data analysis when the data monitoring module 401 finds a problem, thereby analyzing the abnormal part of the data and the cause of the abnormality; The maintenance plan generation module 403 can sort out the analysis results of the abnormality analysis module 402 and form a maintenance plan based on the analysis results, so as to accurately guide the maintenance method and facilitate the staff to perform rapid maintenance; The maintenance end reminder module 404 can remind the maintenance personnel so that they can guide the part of the power grid that has the problem and perform maintenance, and also help the maintenance personnel to respond quickly; The self-adjustment module 405 can directly self-adjust the data acquisition module 1 when the problem is relatively small, so that the sensor network of the data acquisition module 1 can resume normal operation; The data acquisition module 1 is monitored in real time through the data monitoring module 401, so that when a problem occurs in the sensor network of the data acquisition module 1, it can be discovered in time, so that erroneous data will not be transmitted to the main system, and the main system will not make errors in judging the data, thereby avoiding affecting the judgment of the staff, causing maintenance interference, and affecting the maintenance speed.

[0021] like Figure 1 As shown, the input end of the data acquisition module 1 is connected to the timing module 2, and the output end of the data acquisition module 1 is connected to the data transmission module 3, and the output end of the data transmission module 3 is connected to the acquisition monitoring module 4. The timing module 2 can form a timing for the data acquisition module 1, so that the data acquisition module 1 will perform mobile data acquisition every time a period of time passes; The data transmission module 3 can transmit the data of the data acquisition module 1 to the acquisition monitoring module 4 or the data preliminary analysis module 5 to facilitate the work of the system; The output end of the data transmission module 3 is connected to a data preliminary analysis module 5, and the data preliminary analysis module 5 is connected in parallel with the acquisition monitoring module 4. The data preliminary analysis module 5 can perform preliminary analysis on the data collected by the data acquisition module 1, so as to quickly detect whether the power grid equipment has a major problem; The output end of the data preliminary analysis module 5 is connected to the emergency response module 6. The emergency response module 6 can respond quickly when the data preliminary analysis module 5 finds that there is a major problem with the power grid equipment, so that the system directly skips multiple parts to work, thereby increasing the response speed of the system; When obvious problems are found, the emergency response module 6 will promptly respond, thereby facilitating rapid processing by the remote execution module 11, so as not to delay the operation of the power grid equipment. Through the rapid response of the emergency response module 6, the power grid equipment can be quickly restored to work, thus avoiding huge losses caused by the shutdown of the power grid equipment.

[0022] like Figure 1 As shown, the output end of the data preliminary analysis module 5 is connected to the data storage module 7, and the data storage module 7 and the emergency response module 6 are connected in parallel. The data storage module 7 will store the results of the preliminary analysis of the data preliminary analysis module 5 and supply them to the data analysis module 9 for use; The output end of the data storage module 7 is connected to a data analysis module 9, which can perform in-depth analysis on the collected data to find minor problems existing in the power grid equipment; The output end of the data analysis module 9 is connected to the user push module 8. The user push module 8 can organize the speech according to the big data and the data structure of the system analysis, and send it to the user, so that the user can clearly understand his own electricity usage, and the user can well understand the benefits of the recommended electricity usage method, so that the user can better adopt the electricity usage suggestions.

[0023] like Figure 3 As shown, the user push module 8 includes a big database 801, a speech arrangement module 802, a power push module 803, a data information encryption module 804 and a user interaction module 805, and the output end of the big database 801 is connected to the speech arrangement module 802, the output end of the speech arrangement module 802 is connected to the power push module 803, and the output end of the power push module 803 is connected to the data information encryption module 804, and the output end of the data information encryption module 804 is connected to the user interaction module 805. The big database 801 is a data storage library, which mainly stores speech used to communicate with users; The speech arrangement module 802 can combine and arrange the speech and analysis structure inside the speech arrangement module 802, so that the user can more clearly understand the power consumption and know how to use power more economically; The push module 803 will send the speech formed by the speech arrangement module 802 to the user in the form of SMS or user terminal transmission; The data information encryption module 804 can encrypt the data sent by the power push module 803, thereby preventing the data sent by the power push module 803 from being tampered with; The user interaction module 805 can facilitate the user to clearly understand the data situation; The speech arrangement module 802 can organize data into speech that is easier for users to understand. This will help users to more clearly understand the benefits of using electricity in the recommended manner, and will make it easier for users to use electricity in the recommended manner. This will enable electricity to be used more smoothly and reduce the burden on the operation of power grid equipment.

[0024] like Figure 1 As shown, the output end of the data analysis module 9 is connected to the intelligent decision module 10, and the intelligent decision module 10 is connected in parallel with the user push module 8. The intelligent decision module 10 can form a final adjustment plan according to the analysis structure of the data analysis module 9; The output end of the intelligent decision-making module 10 is connected to the remote execution module 11, and the remote execution module 11 can adjust the power grid equipment according to the solution produced by the intelligent decision-making module 10 so that the problems in the power grid equipment can be solved, so that the system can maintain normal operation.

[0025] Working principle: First, the timing module 2 is used to control the timing of the data acquisition module 1, so that the data acquisition module 1 will collect data once every period of time. The required data is collected in and out by the data acquisition module 1, that is, the sensor network is deployed at each key node of the power grid to collect electrical parameters such as voltage, current, and power in real time, as well as environmental parameters such as temperature, humidity, and vibration. The data acquisition module 1 collects data. There are two timing modes of the timing module 2. One has a shorter interval for monitoring data, which is for collecting data provided by the monitoring module 4. The other has a longer interval for the subsequent steps of the system.

[0026] The data collected by the data acquisition module 1 is to collect the data when the monitoring module 4 is ready to work. At this time, the data collected by the data acquisition module 1 will be transmitted to the data monitoring module 401 through the data transmission module 3. The data monitoring module 401 detects the input data in and out. When the data monitoring module 401 finds that the data is abnormal, the data monitoring module 401 will transmit the data to the abnormal analysis module 402 to analyze the cause of the abnormality. Then, the abnormal cause analyzed by the abnormal analysis module 402 is produced by the maintenance plan production module 403 according to the abnormal cause. The sensor network of the data acquisition module 1 is repaired to ensure the accuracy of the data transmission of the data acquisition module 1. The maintenance plan production module If the solution generated by block 403 can solve the problem by just making adjustments, the maintenance solution will be transmitted to the self-adjustment module 405, and the sensor network at the data acquisition module 1 will be adjusted by the self-adjustment module 405, so that the data acquisition module 1 can resume normal operation. If the solution generated by the maintenance solution production module 403 clearly indicates that there is a problem that is damaged or cannot be solved by adjustment, the maintenance solution production module 403 will control the maintenance end reminder module 404 to remind the mobile device carried by the maintenance worker and send the maintenance solution to the maintenance worker, so that the maintenance function can respond quickly and arrive at the maintenance point for maintenance, so that the system can resume work quickly.

[0027] When the data detected by the data acquisition module 1 is for the subsequent work of the supply system, the data transmission module 3 will transmit the data to the data preliminary analysis module 5 for preliminary analysis of the data. If an obvious fault is found in the power grid equipment during the preliminary analysis, the emergency response module 6 will perform an emergency response and urgently control the remote execution module 11 so that the remote execution module 11 can remotely control the equipment in the power grid, including switch operation, transformer voltage regulation, reactive compensation equipment switching, etc., to achieve the optimal operation of the power grid, thereby quickly adjusting the power grid equipment and restoring the power grid equipment to avoid obvious problems affecting the operation of the power grid equipment and making the entire power grid unable to operate normally.

[0028] When there are no obvious problems after the preliminary analysis by the data preliminary analysis module 5, the data preliminary analysis module 5 will transmit the data to the data storage module 7 for storage, and then the data stored in the data storage module 7 will be accurately analyzed by the data analysis module 9. The data analysis module 9 uses big data analysis and machine learning algorithms to conduct in-depth analysis of the power grid operation data, explore potential rules and trends, and provide decision support for power grid management. When the data analysis module 9 completes the analysis, the analysis results will be transmitted to the intelligent decision-making module 10. The intelligent decision-making module 10 will formulate the optimal power grid operation strategy and fault handling plan based on the results of the data analysis module 9 to realize the intelligent management of the power grid, and then transmit the plan produced by the intelligent decision-making module 10 to the remote execution module 11 for execution.

[0029] The data analyzed by the data analysis module 9 will also be transmitted to the speech arrangement module 802. The speech arrangement module 802 combines the data about the speech in the big database 801 and the analysis results of the data analysis module 9 to form a recommendation plan, and then sends the generated speech to the user through the electricity push module 803. Through the guidance of the speech, the optimal way of electricity use is analyzed for the user. At the same time, the speech arrangement module 802 will organize the data into an easy-to-understand way to facilitate user understanding and enable users to better accept the recommendation method. The data information encryption module 804 will encrypt the data to be pushed by the electricity push module 803, and transmit it to the user interaction module 805 after encryption, so as to form an interaction with the user, so that the user can understand his own electricity consumption and use electricity according to the recommended method.

[0030] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A management system for a large-scale power grid, comprising a data acquisition module (1), a timing module (2), a data transmission module (3), an acquisition monitoring module (4), a data preliminary analysis module (5), an emergency response module (6), a data storage module (7), a user push module (8), a data analysis module (9), an intelligent decision-making module (10), and a remote execution module (11), characterized in that: The data acquisition module (1) is mainly used to collect required data. A sensor network is provided at the data acquisition module (1) to obtain the required data through the sensor network. The data collection monitoring module (4) comprises a data monitoring module (401), an abnormality analysis module (402), a maintenance plan production module (403), a maintenance end reminder module (404) and a self-adjustment module (405); the data monitoring module (401) is capable of detecting the data collected by the data collection module (1), thereby timely discovering problems with the data collection module (1); The abnormality analysis module (402) can perform data analysis when the data monitoring module (401) finds a problem, thereby analyzing the abnormal part of the data and the cause of the abnormality; The maintenance plan production module (403) can organize the analysis results of the abnormality analysis module (402) and form a maintenance plan based on the analysis results, so as to accurately guide the maintenance method and facilitate the staff to perform rapid maintenance; The maintenance end reminder module (404) can remind the maintenance personnel so that they can find out which part of the power grid has a problem and carry out maintenance, and it also helps the maintenance personnel to respond quickly; The self-adjusting module (405) can directly self-adjust the data acquisition module (1) when the problem is relatively minor, thereby restoring the sensor network of the data acquisition module (1) to normal operation.

2. A large-scale power grid management system according to claim 1, characterized in that: The timing module (2) is capable of timing the data collection module (1), so that the data collection module (1) will collect mobile data every time a period of time passes; The data transmission module (3) can transmit the data of the data acquisition module (1) to the acquisition monitoring module (4) or the data preliminary analysis module (5), thereby facilitating the operation of the system.

3. A large-scale power grid management system according to claim 2, characterized in that: The data preliminary analysis module (5) can perform preliminary analysis on the data collected by the data collection module (1), thereby quickly detecting whether the power grid equipment has major problems.

4. A large-scale power grid management system according to claim 3, characterized in that: The emergency response module (6) can respond quickly when the data preliminary analysis module (5) finds that there is a major problem with the power grid equipment, allowing the system to directly skip multiple parts to work, thereby increasing the response speed of the system.

5. A large-scale power grid management system according to claim 4, characterized in that: The data storage module (7) stores the results of the preliminary analysis by the data preliminary analysis module (5) and supplies them to the data analysis module (9) for use.

6. A large-scale power grid management system according to claim 5, characterized in that: The data analysis module (9) is capable of performing in-depth analysis on the collected data, thereby discovering minor problems existing in the power grid equipment.

7. A large-scale power grid management system according to claim 6, characterized in that: The user push module (8) can organize the speech based on the big data and the data structure analyzed by the system, and send it to the user, so that the user can clearly understand his own electricity usage situation and the benefits of the recommended electricity usage method, so that the user can better adopt the electricity usage suggestions.

8. A large-scale power grid management system according to claim 7, characterized in that: The user push module (8) comprises a large database (801), a speech arrangement module (802), an electricity push module (803), a data information encryption module (804) and a user interaction module (805), wherein the large database (801) is a data storage repository, mainly storing speech used for communicating with users; The speech arranging module (802) can combine and arrange the speech and analysis structure inside the speech arranging module (802), so that the user can more clearly understand the electricity usage and know how to use electricity more economically; The power push module (803) will send the speech formed by the speech arrangement module (802) to the user in the form of SMS or user terminal transmission; The data information encryption module (804) is capable of encrypting the data sent by the power push module (803), thereby preventing the data sent by the power push module (803) from being tampered with; The user interaction module (805) can help the user to clearly understand the data situation.

9. A large-scale power grid management system according to claim 7, characterized in that: The intelligent decision-making module (10) can form a final adjustment plan based on the analysis structure of the data analysis module (9).

10. A large-scale power grid management system according to claim 9, characterized in that: The remote execution module (11) can adjust the power grid equipment according to the solution produced by the intelligent decision-making module (10) so that problems in the power grid equipment can be solved, thereby enabling the system to maintain normal operation.

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