CN116388399A - Power grid dispatching integrated management system based on artificial intelligence - Google Patents
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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- H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
- H02J13/00036—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for the elements or equipment being or involving switches, relays or circuit breakers
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Abstract
The invention discloses an artificial intelligent-based power grid dispatching comprehensive management system, which is based on the cooperation of a data acquisition subsystem, a data processing subsystem and a remote dispatching subsystem, and realizes remote intelligent power dispatching by acquiring power data at the front end of a power grid and analyzing the data, so that the overall control degree of technicians on a power grid system area is enhanced, and the operation flow of equipment operation and maintenance is simplified; through setting up the safety decision subsystem, real-time supervision electric wire netting dispatch mechanism jurisdiction district state prevents that the area from having the potential safety hazard to cause unnecessary economic loss, and fortune dimension personnel need not to the remote site check equipment state often, has effectively avoided fortune dimension personnel's security risk.
Description
Technical Field
The invention relates to the technical field of comprehensive management of power grid dispatching, in particular to a comprehensive management system of power grid dispatching based on artificial intelligence.
Background
The power grid dispatching refers to the organization, command, guidance and coordination of a power grid dispatching mechanism for guaranteeing the safe, high-quality and economic operation of a power grid. With the development of microelectronic technology, computer technology and communication technology, comprehensive automation technology is rapidly developed, and comprehensive automation has become a hot topic, and is brought into the attention and the attention of various departments of the power industry, and is one of the important points of technological progress of the power industry in China. The comprehensive management of the power grid dispatching adopts more remote centralized control, centralized operation, anti-accident measures and the like, utilizes modern computer technology, communication technology and the like, provides advanced technical equipment, can change the traditional secondary equipment mode, realizes information sharing, simplifies the system, reduces cables, reduces occupied area, facilitates timely grasping the running conditions of the power grid and a transformer substation, provides great convenience, and discloses an intelligent power dispatching management system for enriching the functions of the comprehensive management of the power grid dispatching, such as CN114707761M 'an intelligent power dispatching management system', comprising: the main control end is used for generating a power dispatching control command and sending a positioning label to be connected with the power dispatching equipment; the model prediction module is used for predicting the control command of the power dispatching equipment and switching on or off a power grid; the data acquisition module acquires data information of the power dispatching equipment in the safety positioning range; the information interaction module receives the execution instruction of the data acquisition module and allows the modification of the operation parameter value; the intelligent dispatching center is used for feeding back the power dispatching condition in the system and communicating with the warehouse management information system network; a channel switching module; the intelligent dispatching center is used for feeding back an intelligent dispatching center operation instruction and carrying out tracking management in real time through the converter to the main control end. When the dispatching center needs to dispatch the power in a certain area in case of emergency, the invention can effectively transmit information in time and improve dispatching efficiency, but the invention lacks monitoring on the operation environment of a power grid dispatching mechanism, and when the dispatching mechanism has potential safety hazard due to environmental problems, the dispatching mechanism can not early warn in time, thus being easy to cause unnecessary loss and having poor use effect.
Disclosure of Invention
Based on the technical problems, the invention provides an artificial intelligence-based power grid dispatching integrated management system, which comprises a data acquisition subsystem, a data processing subsystem and a remote dispatching subsystem, wherein:
the data acquisition subsystem is in communication connection with the data processing subsystem and is used for acquiring power data at the front end of the power grid and transmitting the power data to the remote data processing subsystem, wherein the data acquisition subsystem is arranged at power grid equipment in the jurisdiction of the power grid dispatching mechanism and comprises a voltage acquisition module, a current acquisition module, a load detection module and an infrared temperature measurement module;
the data processing subsystem is in communication connection with the remote dispatching subsystem and is used for carrying out data analysis on the acquired power data at the front end of the power grid to obtain an analysis result and transmitting the analysis result to the remote dispatching subsystem;
the remote dispatching subsystem comprises an intelligent dispatching module, a state estimation module, an intelligent safety analysis module, an intelligent power quality coordination module, a dispatching visualization module and a load forecasting module, wherein the intelligent dispatching module is used for intelligently dispatching the power grid according to an analysis result; the state estimation module is used for obtaining state information of the power grid after electric energy scheduling and transmitting the state information to the intelligent safety analysis module to judge whether potential safety hazards exist in the power grid or not; the intelligent electric energy quality coordination module is used for carrying out data transmission on a superior or subordinate power station; the scheduling visualization module is used for performing visual demonstration on the power scheduling information; the load forecasting module is used for acquiring a load report of the power grid after power dispatching.
Preferably, the power data of the front end of the power grid comprises transformer voltage, transformer load current, transformer active power and transformer oil temperature.
Preferably, the data processing subsystem includes a control module and a data analysis module, the control module is used for summarizing the power grid front end power data transmitted by the data acquisition subsystem, transmitting the summarized power grid front end power data and a data analysis instruction to the data analysis module, and the data analysis module is used for performing data analysis on the acquired power grid front end power data to obtain an analysis result, wherein the data analysis specifically includes:
acquiring power data of a power grid history front end, and presetting a proportional relation among a standard load F2, a standard transformer oil temperature and a load according to the power data of the power grid history front end;
calculating according to the summarized power data of the front end of the power grid to obtain a real-time load F1;
if F1 is less than or equal to F2, 0.85, not executing intelligent scheduling operation;
if F2 is more than 0.85 and less than or equal to F1 and less than or equal to F2 is 0.95, comparing the real-time transformer oil temperature in the collected power data at the front end of the power grid with the standard transformer oil temperature, and if the real-time transformer oil temperature is less than or equal to the standard transformer oil temperature, obtaining a maximum load F3 according to the difference value between the real-time transformer oil temperature and the standard transformer oil temperature and the proportional relation between the oil temperature and the load; if F3 is more than or equal to F2 x 1.1, not executing intelligent scheduling operation; if F3 is less than F2 x 1.1, performing intelligent scheduling operation;
if F1 > F2 is 0.95, then the intelligent scheduling operation is performed.
Preferably, the intelligent scheduling of the power grid according to the analysis result is specifically to increase the power generation capacity of the transformer substation.
Preferably, the power grid dispatching integrated management system further comprises a safety decision subsystem, the safety decision subsystem comprises a safety data acquisition module, a safety data analysis module and a decision module, the safety data acquisition module is used for acquiring environment data information in a power grid dispatching mechanism jurisdiction area in real time and transmitting the environment data information to the safety data analysis module, the safety data analysis module analyzes potential safety hazards existing in the current environment through the environment data information to obtain an analysis result, and the decision module makes a corresponding decision according to the analysis result.
Preferably, the safety data acquisition module is used for acquiring environmental data information in the jurisdiction of the power grid dispatching mechanism in real time, specifically:
the safety data acquisition module comprises an image acquisition device, a temperature and humidity sensor, a smoke sensor and a water immersion sensor, and the environment data information comprises real-time image data among power grid lines, temperature and humidity data of a transformer substation, smoke content data of the transformer substation and water immersion degree data of the transformer substation.
Preferably, the safety data analysis module analyzes the potential safety hazard existing in the current environment through the environmental data information to obtain an analysis result specifically as follows:
extracting features of the real-time image data, and obtaining line safety and peripheral safety conditions through feature analysis;
and setting a temperature and humidity threshold value, a smoke threshold value and a water immersion threshold value, and comparing the temperature and humidity data, the smoke content data and the water immersion degree data which are acquired in real time with the set corresponding threshold values to obtain a temperature and humidity comparison result, a smoke comparison result and a water immersion comparison result.
Preferably, the decision making module makes a corresponding decision according to the analysis result specifically as follows:
notifying maintenance personnel to go to a fault site for maintenance according to the line safety and the peripheral safety conditions;
controlling a heat radiating device and a dehumidifying device arranged in the transformer substation to regulate and control the temperature and the humidity according to the temperature and humidity comparison result;
and notifying a substation worker to go to the site to check whether the potential safety hazard exists according to the smoke comparison result and the water immersion comparison result.
Preferably, the data processing subsystem further comprises a data storage module, wherein the input end of the data storage module is electrically connected with the output end of the control module and is used for storing the collected power data of the front end of the power grid, and when the memory of the data storage module is smaller than a preset memory threshold value, the control module issues a deleting instruction to the data storage module to delete the data with earliest storage time until the memory is larger than or equal to the preset memory threshold value.
Preferably, the integrated management system for power grid dispatching further comprises a paper archiving module, wherein the input end of the paper archiving module is electrically connected with the output end of the data analysis module, and the paper archiving module is used for printing the analysis result for a worker to check and store.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides an artificial intelligence-based power grid dispatching comprehensive management system, which is based on the cooperation of a data acquisition subsystem, a data processing subsystem and a remote dispatching subsystem, and realizes remote intelligent power dispatching by acquiring power data at the front end of a power grid and analyzing the data, so that the overall control degree of technicians on a power grid system area is enhanced, and the operation flow of equipment operation and maintenance is simplified; through setting up the safety decision subsystem, real-time supervision electric wire netting dispatch mechanism jurisdiction district state prevents that the area from having the potential safety hazard to cause unnecessary economic loss, and fortune dimension personnel need not to the remote site check equipment state often, has effectively avoided fortune dimension personnel's security risk.
Drawings
FIG. 1 is a schematic diagram of a system structure according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The embodiment of the invention discloses a power grid dispatching integrated management system based on artificial intelligence, which comprises a data acquisition subsystem, a data processing subsystem and a remote dispatching subsystem:
m1, a data acquisition subsystem;
the data acquisition subsystem is in communication connection with the data processing subsystem and is used for acquiring power data at the front end of the power grid and transmitting the power data to the remote data processing subsystem, wherein the data acquisition subsystem is arranged at power grid equipment in the jurisdiction of the power grid dispatching mechanism and comprises a voltage acquisition module, a current acquisition module, a load detection module and an infrared temperature measurement module;
preferably, the power data of the front end of the power grid comprises transformer voltage, transformer load current, transformer active power and transformer oil temperature;
m2, a data processing subsystem;
the data processing subsystem is in communication connection with the remote dispatching subsystem and is used for carrying out data analysis on the acquired power data at the front end of the power grid to obtain an analysis result and transmitting the analysis result to the remote dispatching subsystem;
preferably, the data processing subsystem comprises a control module and a data analysis module, the control module is used for summarizing the power grid front-end power data transmitted by the data acquisition subsystem, transmitting the summarized power grid front-end power data and a data analysis instruction to the data analysis module, the data analysis module is used for carrying out data analysis on the acquired power grid front-end power data to obtain an analysis result,
in this embodiment, the control module is specifically a programmable PLC, and the model of the programmable PLC is NX7-28MDT, and the programmable PLC is an electronic device specifically designed for digital operation for application in an industrial environment. The programmable memory is used for storing instructions for executing logic operation, sequential operation, timing, counting, arithmetic operation and other operations, and can control various mechanical or production processes through digital or analog input and output;
preferably, the data analysis process specifically includes:
acquiring power data of a power grid history front end, and presetting a proportional relation among a standard load F2, a standard transformer oil temperature and a load according to the power data of the power grid history front end;
calculating according to the summarized power data of the front end of the power grid to obtain a real-time load F1;
if F1 is less than or equal to F2, 0.85, not executing intelligent scheduling operation;
if F2 is more than 0.85 and less than or equal to F1 and less than or equal to F2 is 0.95, comparing the real-time transformer oil temperature in the summarized power data of the front end of the power grid with the standard transformer oil temperature:
if the real-time transformer oil temperature is higher than the standard transformer oil temperature, stopping data analysis and outputting an early warning signal;
if the real-time transformer oil temperature is smaller than or equal to the standard transformer oil temperature, obtaining a maximum load F3 according to the difference value between the real-time transformer oil temperature and the standard transformer oil temperature and the proportional relation between the oil temperature and the load; if F3 is more than or equal to F2 x 1.1, not executing intelligent scheduling operation; if F3 is less than F2 x 1.1, performing intelligent scheduling operation;
if F1 is more than F2 and is 0.95, performing intelligent scheduling operation;
preferably, the data processing subsystem further comprises an early warning module, wherein the input end of the early warning module is electrically connected with the output end of the data analysis module and is used for acquiring early warning signals and sending out warnings;
preferably, the data processing subsystem further comprises a data storage module, wherein the input end of the data storage module is electrically connected with the output end of the control module and is used for storing the collected power data of the front end of the power grid, and when the memory of the data storage module is smaller than a preset memory threshold value, the control module issues a deleting instruction to the data storage module to delete the data with earliest storage time until the memory is larger than or equal to the preset memory threshold value.
M3, a remote scheduling subsystem;
the remote dispatching subsystem comprises an intelligent dispatching module, a state estimation module, an intelligent safety analysis module, an intelligent power quality coordination module, a dispatching visualization module and a load forecasting module, wherein the intelligent dispatching module is used for intelligently dispatching a power grid according to an analysis result, and preferably, the intelligent dispatching of the power grid according to the analysis result is particularly used for increasing the power generation capacity of a transformer substation; the state estimation module is used for obtaining state information of the power grid after electric energy scheduling and transmitting the state information to the intelligent safety analysis module to judge whether potential safety hazards exist in the power grid or not; the intelligent electric energy quality coordination module is used for carrying out data transmission on a superior or subordinate power station; the scheduling visualization module is used for performing visual demonstration on the power scheduling information; the load forecasting module is used for acquiring a load report of the power grid after power dispatching;
m4, a security decision subsystem;
preferably, the power grid dispatching integrated management system further comprises a safety decision subsystem, wherein the safety decision subsystem comprises a safety data acquisition module, a safety data analysis module and a decision module, the safety data acquisition module is used for acquiring environmental data information in a power grid dispatching mechanism jurisdiction area in real time and transmitting the environmental data information to the safety data analysis module, the safety data analysis module analyzes potential safety hazards existing in the current environment through the environmental data information to obtain an analysis result, and the decision module makes a corresponding decision according to the analysis result;
preferably, the safety data acquisition module is used for acquiring environmental data information in the jurisdiction of the power grid dispatching mechanism in real time, specifically:
the safety data acquisition module comprises an image acquisition device, a temperature and humidity sensor, a smoke sensor and a water immersion sensor, and the environmental data information comprises real-time image data among power grid lines, temperature and humidity data of a transformer substation, smoke content data of the transformer substation and water immersion degree data of the transformer substation;
in this embodiment, the image acquisition device is a monitoring camera, the model of the temperature and humidity sensor is TH-902, the temperature and humidity sensor uses a temperature and humidity integrated probe as a temperature measuring element, and the temperature and humidity signals are acquired and converted into current signals or voltage signals which have a linear relation with the temperature and the humidity after being processed by circuits such as voltage stabilizing filtering, operational amplification, nonlinear correction, V/I conversion, constant current and reverse protection and the like;
the smoke sensor is MQ-2 in type, can detect smoke generated during fire, is easy to install, and can safely detect the fire in the environment;
preferably, the safety data analysis module analyzes the potential safety hazard existing in the current environment through the environmental data information to obtain an analysis result specifically as follows:
extracting features of the real-time image data, and obtaining line safety and peripheral safety conditions through feature analysis;
and setting a temperature and humidity threshold value, a smoke threshold value and a water immersion threshold value, and comparing the temperature and humidity data, the smoke content data and the water immersion degree data which are acquired in real time with the set corresponding threshold values to obtain a temperature and humidity comparison result, a smoke comparison result and a water immersion comparison result.
Preferably, the decision making module makes a corresponding decision according to the analysis result specifically as follows:
notifying maintenance personnel to go to a fault site for maintenance according to the line safety and the peripheral safety conditions;
controlling a heat radiating device and a dehumidifying device arranged in the transformer substation to regulate and control the temperature and the humidity according to the temperature and humidity comparison result;
notifying a substation worker to go to the site to check whether potential safety hazards exist according to the smoke comparison result and the water immersion comparison result;
m5 and paper archiving module
Preferably, the integrated management system for power grid dispatching further comprises a paper archiving module, wherein the input end of the paper archiving module is electrically connected with the output end of the data analysis module, and is used for printing analysis results for workers to check and store;
in the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the apparatus or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the present invention, the meaning of "a plurality" is two or more, unless explicitly defined otherwise.
The foregoing is only a preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art, who is within the scope of the present invention, should make equivalent substitutions or modifications according to the technical scheme of the present invention and the inventive concept thereof, and should be covered by the scope of the present invention.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (10)
1. The utility model provides a grid dispatching integrated management system based on artificial intelligence which characterized in that, grid dispatching integrated management system includes data acquisition subsystem, data processing subsystem and remote dispatch subsystem, wherein:
the data acquisition subsystem is in communication connection with the data processing subsystem and is used for acquiring power data at the front end of the power grid and transmitting the power data to the remote data processing subsystem, wherein the data acquisition subsystem is arranged at power grid equipment in the jurisdiction of the power grid dispatching mechanism and comprises a voltage acquisition module, a current acquisition module, a load detection module and an infrared temperature measurement module;
the data processing subsystem is in communication connection with the remote dispatching subsystem and is used for carrying out data analysis on the acquired power data at the front end of the power grid to obtain an analysis result and transmitting the analysis result to the remote dispatching subsystem;
the remote dispatching subsystem comprises an intelligent dispatching module, a state estimation module, an intelligent safety analysis module, an intelligent power quality coordination module, a dispatching visualization module and a load forecasting module, wherein the intelligent dispatching module is used for intelligently dispatching the power grid according to an analysis result; the state estimation module is used for obtaining state information of the power grid after electric energy scheduling and transmitting the state information to the intelligent safety analysis module to judge whether potential safety hazards exist in the power grid or not; the intelligent electric energy quality coordination module is used for carrying out data transmission on a superior or subordinate power station; the scheduling visualization module is used for performing visual demonstration on the power scheduling information; the load forecasting module is used for acquiring a load report of the power grid after power dispatching.
2. The artificial intelligence-based power grid dispatching integrated management system of claim 1, wherein the power grid front-end power data comprises transformer voltage, transformer load current, transformer active power and transformer oil temperature.
3. The artificial intelligence-based power grid dispatching integrated management system of claim 2, wherein the data processing subsystem comprises a control module and a data analysis module, the control module is used for summarizing power grid front-end power data transmitted by the data acquisition subsystem, transmitting the summarized power grid front-end power data and a data analysis instruction to the data analysis module, and the data analysis module is used for carrying out data analysis on the acquired power grid front-end power data to obtain an analysis result, wherein the data analysis is specifically as follows:
acquiring power data of a power grid history front end, and presetting a proportional relation among a standard load F2, a standard transformer oil temperature and a load according to the power data of the power grid history front end;
calculating according to the summarized power data of the front end of the power grid to obtain a real-time load F1;
if F1 is less than or equal to F2, 0.85, not executing intelligent scheduling operation;
if F2 is more than 0.85 and less than or equal to F1 and less than or equal to F2 is 0.95, comparing the real-time transformer oil temperature in the collected power data at the front end of the power grid with the standard transformer oil temperature, and if the real-time transformer oil temperature is less than or equal to the standard transformer oil temperature, obtaining a maximum load F3 according to the difference value between the real-time transformer oil temperature and the standard transformer oil temperature and the proportional relation between the oil temperature and the load; if F3 is more than or equal to F2 x 1.1, not executing intelligent scheduling operation; if F3 is less than F2 x 1.1, performing intelligent scheduling operation;
if F1 > F2 is 0.95, then the intelligent scheduling operation is performed.
4. The artificial intelligence-based power grid dispatching integrated management system according to claim 3, wherein intelligent dispatching of the power grid is specifically performed according to analysis results, and the power generation amount of a transformer substation is increased.
5. The artificial intelligence-based power grid dispatching integrated management system according to claim 1, further comprising a safety decision subsystem, wherein the safety decision subsystem comprises a safety data acquisition module, a safety data analysis module and a decision module, the safety data acquisition module is used for acquiring environment data information in a power grid dispatching mechanism jurisdiction in real time and transmitting the environment data information to the safety data analysis module, the safety data analysis module analyzes potential safety hazards existing in a current environment through the environment data information to obtain an analysis result, and the decision module makes corresponding decisions according to the analysis result.
6. The artificial intelligence-based power grid dispatching integrated management system of claim 5, wherein the safety data acquisition module is used for acquiring environmental data information in a jurisdiction of a power grid dispatching mechanism in real time specifically comprises:
the safety data acquisition module comprises an image acquisition device, a temperature and humidity sensor, a smoke sensor and a water immersion sensor, and the environment data information comprises real-time image data among power grid lines, temperature and humidity data of a transformer substation, smoke content data of the transformer substation and water immersion degree data of the transformer substation.
7. The artificial intelligence-based power grid dispatching integrated management system of claim 6, wherein the safety data analysis module analyzes potential safety hazards existing in the current environment through environment data information to obtain analysis results specifically as follows:
extracting features of the real-time image data, and obtaining line safety and peripheral safety conditions through feature analysis;
and setting a temperature and humidity threshold value, a smoke threshold value and a water immersion threshold value, and comparing the temperature and humidity data, the smoke content data and the water immersion degree data which are acquired in real time with the set corresponding threshold values to obtain a temperature and humidity comparison result, a smoke comparison result and a water immersion comparison result.
8. The artificial intelligence-based power grid dispatching integrated management system of claim 7, wherein the decision making module makes corresponding decisions according to the analysis result specifically comprises:
notifying maintenance personnel to go to a fault site for maintenance according to the line safety and the peripheral safety conditions;
controlling a heat radiating device and a dehumidifying device arranged in the transformer substation to regulate and control the temperature and the humidity according to the temperature and humidity comparison result;
and notifying a substation worker to go to the site to check whether the potential safety hazard exists according to the smoke comparison result and the water immersion comparison result.
9. The integrated management system for power grid dispatching based on artificial intelligence according to claim 3, wherein the data processing subsystem further comprises a data storage module, the input end of the data storage module is electrically connected with the output end of the control module and is used for storing the collected power data at the front end of the power grid, and when the memory of the data storage module is smaller than a preset memory threshold value, the control module issues a deleting instruction to the data storage module to delete the data with earliest storage time until the memory is larger than or equal to the preset memory threshold value.
10. The power grid dispatching integrated management system based on artificial intelligence according to claim 3, further comprising a paper archiving module, wherein the input end of the paper archiving module is electrically connected with the output end of the data analysis module, and is used for printing analysis results for workers to check and store.
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| CN117277566A (en) * | 2023-09-20 | 2023-12-22 | 国网河南省电力公司濮阳供电公司 | Power grid data analysis power dispatching system and method based on big data |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117277566A (en) * | 2023-09-20 | 2023-12-22 | 国网河南省电力公司濮阳供电公司 | Power grid data analysis power dispatching system and method based on big data |
| CN117277566B (en) * | 2023-09-20 | 2024-05-03 | 国网河南省电力公司濮阳供电公司 | Power grid data analysis power dispatching system and method based on big data |
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