Data management method and system based on power business

By designing data identification, coordination and multi-modal management ends in power business, the problems of inaccuracy, duplication or inconsistency in data management in power business are solved, real-time monitoring and coordination of data are realized, timely and accuracy of data management are improved, and unified and standardized management of power grid status is ensured.

CN119739769APending Publication Date: 2025-04-01STATE GRID ANHUI ELECTRIC POWER CO LTD
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Patent Information

Application Number
CN202411698473.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-25
Publication Date
2025-04-01

AI Technical Summary

Technical Problem

The large scale of data in the power business leads to inaccurate, duplicate or inconsistent data, and the inability to detect data abnormalities in time, affecting the timeliness and accuracy of data management.

Method used

Design a data management method and system based on power services, including data identification end, data coordination end and multi-modal management end. Through real-time collection and monitoring of power grid data, judge data quality, select the optimal data coordination plan, and timely adjust the power grid status through multi-modal adjustment.

Benefits of technology

Real-time monitoring and coordination of power business data is realized, data inaccuracy, duplication or inconsistency are avoided, timeliness and accuracy of data management are improved, unified and standardized management of power grid status is ensured, and grid operation efficiency is improved.

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Abstract

The invention discloses a data management method and system based on power business, and relates to the technical field of data management, the system comprises a data identification end, a data coordination end and a multi-mode management end, the data identification end is used for collecting power grid data in real time, recording the collected power grid data in real time, and managing the data coordination end; the data coordination end is used for carrying out coordination plan operation on the system by judging the power grid data quality in the power business and selecting an optimal data coordination scheme according to the judgment result of the power grid data quality, and the multi-mode management end is used for carrying out real-time data analysis on the power grid state by detecting the power grid state in the power business in real time. According to the data management method and system based on the power business, the situation that the data is inaccurate, repeated or inconsistent is avoided, the optimal data coordination scheme is selected according to the judgment result of the power grid data quality, the power grid operation result is monitored in real time, and the power grid operation efficiency in power business operation is guaranteed.
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Description

Technical Field

[0001] The present invention relates to the technical field of data management, and in particular to a data management method and system based on electric power business. Background Art

[0002] The main business of the power business is power supply and cable maintenance. Some companies are two different companies that also provide power generation and power generation equipment manufacturers. The power business is an important basic service to maintain the operation of modern society. It is not only related to economic development, but also directly affects people's daily life. With technological progress and policy adjustments, the power industry is also constantly developing and changing. With the rapid development of science and technology, the development of power business is becoming more and more intelligent. In particular, when conducting data management of power business, a data management system for power business is needed.

[0003] At present, due to the large amount of complex data in the power business and the huge scale of data faced by power grid companies, the power business may have inaccurate, repeated or inconsistent data, and it is impossible to detect whether the power business data is abnormal in time. At the same time, after discovering the data abnormality, how to process and analyze it in real time and how to ensure its timeliness and accuracy, it is impossible to coordinate plans for the power business system, which affects the timeliness of power business data management. In addition, the power grid status of the power business cannot guarantee unified and standardized management, resulting in a cumbersome data management process and the inability to guarantee the power grid operation efficiency during the power business operation.

[0004] Therefore, a data management method and system based on power business are proposed to solve the above problems. Summary of the invention

[0005] The main purpose of the present invention is to provide a data management method and system based on electric power business to solve the problems raised in the above background.

[0006] To achieve the above-mentioned purpose, the technical solution adopted by the present invention is: a data management method and system based on power business, including a data identification terminal, a data coordination terminal and a multimodal management terminal, wherein the data identification terminal, the data coordination terminal and the multimodal management terminal are jointly provided with a voice broadcast module;

[0007] The data identification terminal is used to collect power grid data in real time, record the collected power grid data in real time, and judge whether the power grid data is accurate and complete in real time by identifying the power grid data, record the power grid data according to the period, track the power grid data in real time, monitor the quality of the power grid data in the power business in real time, and judge whether the power grid data is abnormal. If it is abnormal, it will issue an early warning and locate the abnormal power grid data;

[0008] The data coordination terminal is used to coordinate the system by judging the quality of the power grid data in the power business, select the optimal data coordination plan according to the judgment result of the power grid data quality, and track the optimal data coordination plan. During the plan tracking process, the power grid data quality is compared in real time to judge whether the data coordination is effective. If it is not effective, the plan operation is repeated. If it is effective, the data quality is continuously monitored.

[0009] The multimodal management terminal is used to detect the state of the power grid in the power business in real time and perform real-time data analysis on the power grid state to determine whether the power grid state at the corresponding moment of the power business is abnormal. If the power grid state is abnormal, the compensation value is calculated by locating the abnormal position of the power grid, and the power grid state is adjusted in time through multimodal adjustment. The power grid operation results are monitored in real time through line loss analysis to ensure the power grid operation efficiency in the power business operation;

[0010] The voice broadcast module is used to issue a voice alarm through a voice broadcast device and feedback to manual processing.

[0011] The data identification terminal includes a data acquisition module, a data identification module and a data tracking module;

[0012] The data acquisition module includes a data acquisition unit and a data statistics unit;

[0013] The data acquisition unit is used to collect power grid data of the power business in real time through a data receiver;

[0014] The data statistics unit is used to collect statistics of power grid data of the power business in real time through a data recorder.

[0015] The data identification module includes a data identification unit and a period recording unit;

[0016] The data identification unit is used to determine the accuracy of the power grid data by comparing the collected power grid data;

[0017] The data identification unit includes an identification and warning unit, which is used to determine that the power grid data is abnormal when the power grid data identification difference result is ≠0, and report the system to issue a voice alarm reminder;

[0018] The periodic recording unit is used to record the power grid data in real time through a timer and perform periodic statistics.

[0019] The data tracking module includes a data tracking unit, a tracking and warning unit, and a data positioning unit;

[0020] The data tracking unit is used to track the power grid data at the corresponding moment in real time through a data tracker;

[0021] The data tracking unit includes quality monitoring, and the quality monitoring is used to detect the data quality of the power grid data in real time through a quality detector, and the data quality includes whether the data in the corresponding period is repeated or whether the data is complete;

[0022] The tracking and warning unit is used to send a voice alarm to the reporting system through a voice alarm when repeated data or incomplete data is detected within a corresponding period;

[0023] The data positioning unit is used to locate the data position of the power grid that issues the voice alarm in real time through a positioning tracker.

[0024] The data coordination terminal includes a data judgment module, a coordination plan module and a plan tracking module;

[0025] The data judgment module includes a data judgment unit, which is used to judge the abnormality of the quality located by the positioning tracker. The abnormality judgment is determined by comparing the data. If the data is repeated, the repeated data stream is automatically deleted. If the data is incomplete, the incomplete data stream is automatically deleted and the power grid data of this channel is received again.

[0026] The coordination plan module includes a data coordination unit and a coordination plan unit;

[0027] The data coordination unit is used to report the judgment result of the data to the system in real time and issue data coordination instructions, so as to achieve effective data coordination and circulation among multiple power grid data and ensure the integrity of the main power grid data of the power user;

[0028] The coordination plan unit is used to obtain the coordination value of the main power grid data of the power user to meet the physical constraints of the system by performing the maximum necessary estimation on the redundant measurement data. The coordination plan steps are as follows:

[0029] Step 1: Based on the redundant measurement information in the power grid system, select the measurement variable x involved in the thermal system balance calculation 1 , x 2 ,…,x N , N is the total number of measured variables;

[0030] Step 2: Calculate the standard deviation of the measured values ​​of each measured variable to assess the uncertainty of the measured variable, denoted as σ 1 ,σ 2 ,…,σ N , the formula is as follows:

[0031]

[0032] Where i represents the i-th measured variable, i is 1, 2, 3, ..., n, N is the number of all household owners, j represents the measured data of the j-th group of power grid data, j is 1, 2, 3, ..., N, x i,j represents the measured value of the i-th measured variable in the j-th group of power grid data, represents the average value of the i-th measured variable in all measured power grid data;

[0033] Step 3: Calculate σ i The closer it is to 0, the smaller the difference in the coordination value of the main power grid data of the power user that meets the physical constraints of the system. Similarly, the closer the calculated σi is to 1, the greater the difference in the coordination value of the main power grid data of the power user that meets the physical constraints of the system.

[0034] The plan tracking module includes a plan tracking unit and a plan judgment unit;

[0035] The plan tracking unit is used to track the power grid data after the coordinated plan in real time through a data tracker;

[0036] The plan judgment unit is used to calculate the difference between the power grid data after the coordination plan and the power grid data before the coordination plan. If the calculated difference = 0, it is judged that the coordination is invalid; if the calculated difference ≠ 0, it is judged that the coordination is valid.

[0037] The multimodal management terminal includes a data detection module, a data detection module, a data management module and a management tracking module;

[0038] The data detection module includes a data detection unit and a data analysis unit;

[0039] The data detection unit is used to detect the power grid data at the corresponding time in real time through the power grid data detector, and the power grid data includes data of power generation, transmission, transformation, distribution, power consumption and dispatch in the power business;

[0040] The data analysis unit is used to calculate the difference between the data of each link of power generation, transmission, transformation, distribution, power consumption and scheduling detected at the corresponding time and the standard power generation, transmission, transformation, distribution, power consumption and scheduling data. If the corresponding difference = 0, the data is judged to be normal; if the corresponding difference ≠ 0, the data is judged to be abnormal.

[0041] The data positioning module includes a positioning compensation unit, which is used to perform real-time compensation based on the calculated data difference. The compensation method is: if the difference is a positive number, the corresponding data difference is reduced; if the difference is a negative number, the corresponding data difference is increased;

[0042] The data management module includes a multimodal adjustment unit, which is used to adjust the multimodal fusion solution of power grid data by data integration.

[0043] The management and tracking module includes a line loss analysis unit and an analysis and tracking unit;

[0044] The line loss analysis unit is used to monitor the equipment in the power grid in real time through data monitors and sensors, including real-time monitoring of the status of transformers, lines and switchgear;

[0045] The analysis and tracking unit is used to track the equipment and line loss in the power grid in real time through a data tracker and a timer.

[0046] A data management method based on electric power business comprises the following steps:

[0047] Step 1: Establish a power grid data transmission connection channel for the power business, enter the data identification terminal, collect power grid data in real time, track the power grid data in real time, monitor the quality of power grid data in the power business in real time, and judge whether the power grid data is abnormal in real time;

[0048] Step 2: Enter the data coordination terminal, judge the quality of power grid data in the power business, coordinate the system and operate the plan. According to the judgment result of power grid data quality, select the best data coordination plan and track the plan. During the plan tracking process, compare the quality of power grid data in real time.

[0049] Step 3: Enter the multimodal management terminal, through real-time detection of the power grid status in the power business and real-time data analysis of the power grid status, determine whether the power grid status at the corresponding moment of the power business is abnormal, and monitor the power grid operation results in real time through line loss analysis.

[0050] The present invention has the following beneficial effects:

[0051] 1. In the present invention, by setting a data identification terminal, when the power business performs data management, the power grid data is collected in real time, and the power grid data is identified in real time to determine whether the power grid data is accurate and complete, and the power grid data is tracked in real time, the quality of the power grid data in the power business is monitored in real time, and it is determined whether the power grid data is abnormal, so that the power business with a large data scale can avoid inaccurate, repeated or inconsistent data, and can detect whether the data of the power business is abnormal in time, ensuring the accuracy and integrity of the data.

[0052] 2. In the present invention, by setting up a data coordination terminal, when the power business performs data management, the quality of the power grid data in the power business is judged, and according to the judgment result of the power grid data quality, the optimal data coordination plan is selected, and the plan tracking of the optimal data coordination plan is carried out, so that after the data abnormality is found, the data management system of the power business can process and analyze in real time and ensure its real-time and accuracy, and coordinate the plan for the power business system, so as to improve the timeliness of the power business data management and ensure the data quality of the power business.

[0053] 3. In the present invention, by setting a multimodal management terminal, when the power business performs data management, the real-time detection of the power grid state in the power business is used to determine whether the power grid state at the corresponding moment of the power business is abnormal. If the power grid state is abnormal, the compensation value is calculated by locating the abnormal position of the power grid, and the power grid state is adjusted in time through multimodal adjustment. The power grid operation results are monitored in real time through line loss analysis, so that the power grid state of the power business can be managed in a unified and standardized manner, reducing the tediousness of data management and ensuring the power grid operation efficiency in the operation of the power business. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 A schematic diagram of the overall system architecture of a data management system based on power business according to the present invention;

[0055] Figure 2 This is a schematic diagram of the architecture of a data identification terminal of a data management system based on power business according to the present invention;

[0056] Figure 3 This is a schematic diagram of the architecture of a data coordination terminal of a data management system based on power business according to the present invention;

[0057] Figure 4 The present invention is a schematic diagram of the architecture of a multi-modal management terminal of a data management system based on electric power business. DETAILED DESCRIPTION

[0058] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0059] Embodiment 1

[0060] Please refer to Figure 1-2 As shown: A data management system based on power business, including a data identification terminal, a data coordination terminal and a multimodal management terminal, wherein the data identification terminal, the data coordination terminal and the multimodal management terminal are jointly provided with a voice broadcast module;

[0061] The data identification terminal is used to collect power grid data in real time, record the collected power grid data in real time, and judge whether the power grid data is accurate and complete in real time through the recognition of the power grid data. The power grid data is recorded according to the cycle, the power grid data is tracked in real time, the quality of the power grid data in the power business is monitored in real time, and the power grid data is judged whether it is abnormal. If it is abnormal, an early warning is issued and the abnormal power grid data is located;

[0062] The data coordination terminal is used to coordinate the system by judging the quality of power grid data in the power business, select the optimal data coordination plan according to the judgment result of power grid data quality, and track the plan of the optimal data coordination plan. During the plan tracking process, the power grid data quality is compared in real time to judge whether the data coordination is effective. If it is not effective, the plan operation is repeated. If it is effective, the data quality is continuously monitored.

[0063] The multi-modal management terminal is used to detect the state of the power grid in the power business in real time and conduct real-time data analysis on the power grid state to determine whether the power grid state at the corresponding time of the power business is abnormal. If the power grid state is abnormal, the compensation value is calculated by locating the abnormal position of the power grid, and the power grid state is adjusted in time through multi-modal adjustment. The power grid operation results are monitored in real time through line loss analysis to ensure the power grid operation efficiency in the power business operation;

[0064] The voice broadcast module is used to issue voice alarms through a voice announcer and provide feedback for manual processing.

[0065] The data identification terminal includes a data acquisition module, a data identification module and a data tracking module;

[0066] The data acquisition module includes a data acquisition unit and a data statistics unit;

[0067] The data acquisition unit is used to collect power grid data of the power business in real time through a data receiver;

[0068] The data statistics unit is used to collect real-time statistics of the power grid data of the power business through a data recorder.

[0069] The data identification module includes a data identification unit and a period recording unit;

[0070] The data identification unit is used to determine the accuracy of the power grid data by comparing the collected power grid data;

[0071] The data identification unit includes an identification and warning unit, which is used to determine that the power grid data is abnormal when the power grid data identification difference result is ≠0, and report the system to issue a voice alarm reminder;

[0072] The periodic recording unit is used to record the power grid data in real time through a timer and perform periodic statistics.

[0073] The data tracking module includes a data tracking unit, a tracking warning unit and a data positioning unit;

[0074] The data tracking unit is used to track the power grid data at the corresponding moment in real time through the data tracker;

[0075] The data tracking unit includes quality monitoring, which is used to detect the data quality of the power grid data in real time through a quality detector. The data quality includes whether the data in the corresponding period is repeated or whether the data is complete;

[0076] The tracking warning unit is used to send a voice alarm to the reporting system through the voice alarm when duplication or incomplete data is detected within the corresponding period;

[0077] The data positioning unit is used to locate the data position of the power grid that issues the voice alarm in real time through a positioning tracker.

[0078] Embodiment 2

[0079] Please refer to Figure 3 As shown: Based on the first embodiment, the data coordination terminal includes a data judgment module, a coordination plan module and a plan tracking module;

[0080] The data judgment module includes a data judgment unit, which is used to make an abnormality judgment on the quality abnormality located by the positioning tracker. The abnormality judgment is determined by comparing the data. If the data is repeated, the repeated data stream is automatically deleted. If the data is judged to be incomplete, the incomplete data stream is automatically deleted and the power grid data of this channel is received again.

[0081] The coordination plan module includes a data coordination unit and a coordination plan unit;

[0082] The data coordination unit is used to report the judgment results of the data to the system in real time and issue data coordination instructions to achieve effective data coordination and circulation among multiple power grid data, thus ensuring the integrity of the main power grid data of the power user;

[0083] The coordination plan unit is used to obtain the coordination value of the main power grid data of the power user to meet the physical constraints of the system by making the maximum necessary estimate of the redundant measurement data. The coordination plan steps are as follows:

[0084] Step 1: Based on the redundant measurement information in the power grid system, select the measurement variable x involved in the thermal system balance calculation 1 , x 2 ,…,x N , N is the total number of measured variables;

[0085] Step 2: Calculate the standard deviation of the measured values ​​of each measured variable to assess the uncertainty of the measured variable, denoted as σ 1 ,σ 2,…,σ N , the formula is as follows:

[0086]

[0087] Where i represents the i-th measured variable, i is 1, 2, 3, ..., n, N is the number of all household owners, j represents the measured data of the j-th group of power grid data, j is 1, 2, 3, ..., N, x i,j represents the measured value of the i-th measured variable in the j-th group of power grid data, represents the average value of the i-th measured variable in all measured power grid data;

[0088] Step 3: The closer the calculated σi is to 0, the smaller the difference in the coordination value of the main power grid data of the power user that meets the physical constraints of the system. Similarly, the closer the calculated σi is to 1, the greater the difference in the coordination value of the main power grid data of the power user that meets the physical constraints of the system.

[0089] The plan tracking module includes a plan tracking unit and a plan judgment unit;

[0090] The plan tracking unit is used to track the power grid data after the coordinated plan in real time through the data tracker;

[0091] The plan judgment unit is used to calculate the difference between the power grid data after the coordination plan and the power grid data before the coordination plan. If the calculated difference = 0, the coordination is judged to be invalid; if the calculated difference ≠ 0, the coordination is judged to be valid.

[0092] Embodiment 3

[0093] Please refer to Figure 4 As shown: Based on the first embodiment, the multimodal management terminal includes a data detection module, a data detection module, a data management module and a management tracking module;

[0094] The data detection module includes a data detection unit and a data analysis unit;

[0095] The data detection unit is used to detect the power grid data at the corresponding time in real time through the power grid data detector. The power grid data includes data of power generation, transmission, transformation, distribution, power consumption and dispatching in the power business;

[0096] The data analysis unit is used to calculate the difference between the data of each link of power generation, transmission, transformation, distribution, power consumption and scheduling detected at the corresponding time and the standard power generation, transmission, transformation, distribution, power consumption and scheduling data. If the corresponding difference = 0, the data is judged to be normal; if the corresponding difference ≠ 0, the data is judged to be abnormal.

[0097] The data positioning module includes a positioning compensation unit, which is used to perform real-time compensation based on the calculated data difference. The compensation method is: if the difference is a positive number, the corresponding data difference is reduced; if the difference is a negative number, the corresponding data difference is increased;

[0098] The data management module includes a multimodal adjustment unit, which is used to adjust the multimodal fusion solution of power grid data by means of data integration.

[0099] The management and tracking module includes a line loss analysis unit and an analysis and tracking unit;

[0100] The line loss analysis unit is used to monitor the equipment in the power grid in real time through data monitors and sensors, including real-time monitoring of the status of transformers, lines and switchgear;

[0101] The analysis and tracking unit is used to track the equipment and line losses in the power grid in real time through data trackers and timers.

[0102] In the present invention, a data management method and system based on electric power business is provided. When the system is in operation, the power grid data transmission connection channel of the electric power business is first established, and the data identification terminal is entered. The power grid data is collected in real time, and the power grid data is identified in real time to determine whether the power grid data is accurate and complete, and the power grid data is tracked in real time, the quality of the power grid data in the electric power business is monitored in real time, and the power grid data is determined to be abnormal, so that the power grid business with a large data scale can avoid the situation of inaccurate, repeated or inconsistent data, and can detect whether the data of the power business is abnormal in time, ensure the accuracy and integrity of the data, and select the optimal data coordination plan according to the judgment result of the power grid data quality by judging the quality of the power grid data in the electric power business, and The optimal data coordination plan is used to track the plan, so that the data management system of the power business can process and analyze the data in real time after discovering abnormal data, and ensure its timeliness and accuracy. The power business system is coordinated with the plan to improve the timeliness of power business data management and ensure the data quality of the power business. Through real-time detection of the power grid status in the power business, it is determined whether the power grid status at the corresponding moment of the power business is abnormal. If the power grid status is abnormal, the compensation value is calculated by locating the abnormal position of the power grid, and the power grid status is adjusted in time through multi-modal adjustment. The line loss analysis is used to monitor the power grid operation results in real time, so that the power grid status of the power business can be managed in a unified and standardized manner, reducing the tediousness of data management and ensuring the power grid operation efficiency in the operation of the power business.

[0103] A data management method based on electric power business comprises the following steps:

[0104] Step 1: Establish a power grid data transmission connection channel for the power business, enter the data identification terminal, collect power grid data in real time, track the power grid data in real time, monitor the quality of power grid data in the power business in real time, and judge whether the power grid data is abnormal in real time;

[0105] Step 2: Enter the data coordination terminal, judge the quality of power grid data in the power business, coordinate the system and operate the plan. According to the judgment result of power grid data quality, select the best data coordination plan and track the plan. During the plan tracking process, compare the quality of power grid data in real time.

[0106] Step 3: Enter the multimodal management terminal, through real-time detection of the power grid status in the power business and real-time data analysis of the power grid status, determine whether the power grid status at the corresponding moment of the power business is abnormal, and monitor the power grid operation results in real time through line loss analysis.

[0107] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A data management system based on power business, characterized in that: The system includes a data identification terminal, a data coordination terminal and a multimodal management terminal, wherein the data identification terminal, the data coordination terminal and the multimodal management terminal are jointly provided with a voice broadcast module; The data identification terminal is used to collect power grid data in real time, record the collected power grid data in real time, and judge whether the power grid data is accurate and complete in real time by identifying the power grid data, record the power grid data according to the period, track the power grid data in real time, monitor the quality of the power grid data in the power business in real time, and judge whether the power grid data is abnormal. If it is abnormal, it will issue an early warning and locate the abnormal power grid data; The data coordination terminal is used to coordinate the system by judging the quality of the power grid data in the power business, select the optimal data coordination plan according to the judgment result of the power grid data quality, and track the optimal data coordination plan. During the plan tracking process, the power grid data quality is compared in real time to judge whether the data coordination is effective. If it is not effective, the plan operation is repeated. If it is effective, the data quality is continuously monitored. The multimodal management terminal is used to detect the state of the power grid in the power business in real time and perform real-time data analysis on the power grid state to determine whether the power grid state at the corresponding moment of the power business is abnormal. If the power grid state is abnormal, the compensation value is calculated by locating the abnormal position of the power grid, and the power grid state is adjusted in time through multimodal adjustment. The power grid operation results are monitored in real time through line loss analysis to ensure the power grid operation efficiency in the power business operation; The voice broadcast module is used to issue a voice alarm through a voice broadcast device and feedback to manual processing.

2. The system according to claim 1, characterized in that: The data identification terminal includes a data acquisition module, a data identification module and a data tracking module; The data acquisition module includes a data acquisition unit and a data statistics unit; The data acquisition unit is used to collect power grid data of the power business in real time through a data receiver; The data statistics unit is used to collect statistics of power grid data of the power business in real time through a data recorder.

3. The system according to claim 2, characterized in that: The data identification module includes a data identification unit and a period recording unit; The data identification unit is used to determine the accuracy of the power grid data by comparing the collected power grid data; The data identification unit includes an identification and warning unit, which is used to determine that the power grid data is abnormal when the power grid data identification difference result is ≠0, and report the system to issue a voice alarm reminder; The periodic recording unit is used to record the power grid data in real time through a timer and perform periodic statistics.

4. The system according to claim 3, characterized in that: The data tracking module includes a data tracking unit, a tracking and warning unit, and a data positioning unit; The data tracking unit is used to track the power grid data at the corresponding moment in real time through a data tracker; The data tracking unit includes quality monitoring, and the quality monitoring is used to detect the data quality of the power grid data in real time through a quality detector, and the data quality includes whether the data in the corresponding period is repeated or whether the data is complete; The tracking and warning unit is used to send a voice alarm to the reporting system through a voice alarm when repeated data or incomplete data is detected within a corresponding period; The data positioning unit is used to locate the data position of the power grid that issues the voice alarm in real time through a positioning tracker.

5. The system according to claim 1, characterized in that: The data coordination terminal includes a data judgment module, a coordination plan module and a plan tracking module; The data judgment module includes a data judgment unit, which is used to judge the abnormality of the quality located by the positioning tracker. The abnormality judgment is determined by comparing the data. If the data is repeated, the repeated data stream is automatically deleted. If the data is incomplete, the incomplete data stream is automatically deleted and the power grid data of this channel is received again. The coordination plan module includes a data coordination unit and a coordination plan unit; The data coordination unit is used to report the judgment result of the data to the system in real time and issue data coordination instructions, so as to achieve effective data coordination and circulation among multiple power grid data and ensure the integrity of the main power grid data of the power user; The coordination plan unit is used to obtain the coordination value of the main power grid data of the power user to meet the physical constraints of the system by performing the maximum necessary estimation on the redundant measurement data. The coordination plan steps are as follows: Step 1: Based on the redundant measurement information in the power grid system, select the measurement variables x1, x2, …, x1 that participate in the thermal system balance calculation. N , N is the total number of measured variables; Step 2: Calculate the standard deviation of the measured value of each measured variable to assess the uncertainty of the measured variable, denoted as σ1, σ2, …, σ N , the formula is as follows: Where i represents the i-th measured variable, i is 1, 2, 3, ..., n, N is the number of all household owners, j represents the measured data of the j-th group of power grid data, j is 1, 2, 3, ..., N, x i,j represents the measured value of the i-th measured variable in the j-th group of power grid data, represents the average value of the i-th measured variable in all measured power grid data; Step 3: The closer the calculated σi is to 0, the smaller the difference in the coordination value of the main power grid data of the power user that meets the physical constraints of the system. Similarly, the closer the calculated σi is to 1, the greater the difference in the coordination value of the main power grid data of the power user that meets the physical constraints of the system.

6. The system according to claim 5, characterized in that: The plan tracking module includes a plan tracking unit and a plan judgment unit; The plan tracking unit is used to track the power grid data after the coordinated plan in real time through a data tracker; The plan judgment unit is used to calculate the difference between the power grid data after the coordination plan and the power grid data before the coordination plan. If the calculated difference = 0, it is judged that the coordination is invalid; if the calculated difference ≠ 0, it is judged that the coordination is valid.

7. The system according to claim 1, characterized in that: The multimodal management terminal includes a data detection module, a data detection module, a data management module and a management tracking module; The data detection module includes a data detection unit and a data analysis unit; The data detection unit is used to detect the power grid data at the corresponding time in real time through the power grid data detector, and the power grid data includes data of power generation, transmission, transformation, distribution, power consumption and dispatch in the power business; The data analysis unit is used to calculate the difference between the data of each link of power generation, transmission, transformation, distribution, power consumption and scheduling detected at the corresponding time and the standard power generation, transmission, transformation, distribution, power consumption and scheduling data. If the corresponding difference = 0, the data is judged to be normal; if the corresponding difference ≠ 0, the data is judged to be abnormal.

8. The system according to claim 7, characterized in that: The data positioning module includes a positioning compensation unit, which is used to perform real-time compensation based on the calculated data difference. The compensation method is: if the difference is a positive number, the corresponding data difference is reduced; if the difference is a negative number, the corresponding data difference is increased; The data management module includes a multimodal adjustment unit, which is used to adjust the multimodal fusion solution of power grid data by data integration.

9. The system according to claim 8, characterized in that: The management and tracking module includes a line loss analysis unit and an analysis and tracking unit; The line loss analysis unit is used to monitor the equipment in the power grid in real time through data monitors and sensors, including real-time monitoring of the status of transformers, lines and switchgear; The analysis and tracking unit is used to track the equipment and line loss in the power grid in real time through a data tracker and a timer.

10. A data management method based on electric power business, referring to the data management system based on electric power business according to any one of claims 1 to 9, characterized in that: The following steps are involved: Step 1: Establish a power grid data transmission connection channel for the power business, enter the data identification terminal, collect power grid data in real time, track the power grid data in real time, monitor the quality of power grid data in the power business in real time, and judge whether the power grid data is abnormal in real time; Step 2: Enter the data coordination terminal, judge the quality of power grid data in the power business, coordinate the system and operate the plan. According to the judgment result of power grid data quality, select the best data coordination plan and track the plan. During the plan tracking process, compare the quality of power grid data in real time. Step 3: Enter the multimodal management terminal, through real-time detection of the power grid status in the power business and real-time data analysis of the power grid status, determine whether the power grid status at the corresponding moment of the power business is abnormal, and monitor the power grid operation results in real time through line loss analysis.