Data monitoring and treatment method based on power model

Abstract

The invention discloses a data monitoring and treatment method based on a power model, and relates to the technical field of data monitoring, and the method comprises the steps: S1, a cloud processor obtains an approved power system, and obtains a comprehensive verification value of each node of a line of the approved power system; and S2, carrying out real-time monitoring on the sensing device, extracting real-time communication parameter information of each node of the approved power system line, and obtaining a real-time communication monitoring abnormity evaluation value of each node of the approved power system line. And S3, according to the real-time communication monitoring abnormity evaluation value of each node of the approved electric power system line, locking the node of the demand management electric power system, and sending out an early warning. According to the method, the fluctuation condition of the communication parameters in each node of the power system line is monitored respectively, and the historical electrical parameters and environmental information of each node are concerned, so that the transmission and communication of data among the nodes of the power system are effectively monitored.

Description

Technical Field

[0001] The present invention relates to the technical field of data monitoring, and specifically provides a data monitoring and governance method based on a power model. Background Art

[0002] The normal operation of the power system is of crucial importance. With the continuous increase in power demand, the load pressure of the power system is also increasing continuously, and more rigorous and accurate data monitoring is required to ensure the normal operation of the power system.

[0003] The prior art, such as the invention patent with the publication number of CN117034177B, is an intelligent monitoring method for abnormal power load data, which specifically includes: obtaining the in-cluster data set, outlier data set in the power system and the local reachability distance within the in-cluster data set according to historical data; obtaining the possibility that the target data is abnormal power load data, the increment window size, the target data set within the increment window of the target data, the local reachability distance of the target data within the increment window, and the abnormal power load data within the increment window of the target data; and calculating the degree of abnormality of the abnormal power load data within the target data set within the increment window of the target data.

[0004] The prior art, such as the invention patent with the publication number of CN117909855B, is a data monitoring and auxiliary governance method based on a power model, which specifically includes: first, collecting and preprocessing data, then constructing the power model through a cloud server, then performing real-time monitoring on the power system based on the power model, then using the simulation dynamic simulation method to simulate and predict the change trend of power parameters based on the power model, and evaluating the stability and reliability of the power system according to preset rules, and making auxiliary governance decisions for the power system through an adaptive particle swarm optimization decision model, greatly improving the safety, stability and operation efficiency of the power system.

[0005] Based on the above solutions, it can be seen that for the monitoring of the power system, usually only the monitoring of the overall power system is considered. Although the change trend of power parameters is predicted through simulation dynamic simulation, in the prior art, the monitoring of the power system usually only considers the monitoring of the overall power system. Although the change trend of power parameters is predicted through simulation dynamic simulation, the sensing monitoring between each node of the power system may generate corresponding errors due to environmental factors, etc., and the current monitoring of the power system only monitors the abnormality of the overall electrical parameters, having the defect of insufficiently accurate monitoring. Summary of the Invention

[0006] Aiming at the deficiencies of the prior art, the present invention provides a data monitoring and governance method based on a power model. To achieve the above object, the present invention is realized through the following technical solutions: The data monitoring and governance method based on a power model includes: A power system for obtaining demand monitoring and governance through a cloud processor, marked as an approved power system, and historical data of each node on the line of the approved power system is obtained and input into a power model to process and obtain the comprehensive verification values of each node on the line of the approved power system; According to the comprehensive verification values of each node on the line of the approved power system, import them into the power model in the cloud processor to locate the verification thresholds of the communication monitoring parameters of each node of the approved power system; Extract the real-time communication parameter information of each node on the line of the approved power system from the data monitoring instrument, and through analysis and processing, obtain the real-time communication monitoring anomaly evaluation value of each node on the line of the approved power system; Based on the real-time communication monitoring anomaly evaluation value of each node on the line of the approved power system and the verification thresholds of the communication monitoring parameters of each node of the approved power system, lock the nodes of the demand governance power system and issue a warning.

[0007] As a preferred technical solution, the historical data of each node on the line of the approved power system specifically includes: The historical electrical parameter information of each node on the line of the approved power system and the historical environmental parameter information of the geographical area where it is located.

[0008] As a preferred technical solution, for the historical electrical parameter information of each node on the line of the approved power system and the historical environmental parameter information of the geographical area where it is located, where: The historical electrical parameter information includes the historical average voltage value, historical average active power, historical average reactive power, and historical average grid frequency of each node; The historical environmental parameter information includes the historical average temperature, historical average humidity, and historical average electromagnetic interference intensity of the geographical area where each node is located.

[0009] As a preferred technical solution, for the integration and processing to obtain the comprehensive verification values of each node on the line of the approved power system, the specific processing conditions are: According to the historical electrical parameter information, process to obtain the electrical parameter verification values of each node on the line of the approved power system, and according to the historical environmental parameter information, process to obtain the environmental parameter verification values of the geographical area where each node on the line of the approved power system is located; Based on the electrical parameter verification values of each node on the line of the approved power system and the environmental parameter verification values of the geographical area where each node on the line of the approved power system is located, summarize and process to obtain the comprehensive verification values of each node on the line of the approved power system; The comprehensive verification values of each node on the line of the approved power system are used to characterize the deviation degree of the historical electrical parameter information of each node on the line of the approved power system and the historical environmental parameter information of the geographical area where it is located from the ideal state.

[0010] As a preferred technical solution, the power model is specifically expressed as follows: ; Among them, is the comprehensive verification value of the th node of the approved power system line, is the electrical parameter verification value of the th node of the approved power system line, is the environmental parameter verification value of the geographical area where the th node of the approved power system line is located,

[0011] As a preferred technical solution, the verification thresholds of the communication monitoring parameters of each node of the approved power system obtained by positioning specifically include: According to the comprehensive verification values of each node of the approved power system line, match the verification thresholds of the communication monitoring parameters corresponding to each comprehensive verification value interval in the database, and locate the verification thresholds of the communication monitoring parameters of each node of the approved power system.

[0012] As a preferred technical solution, the specific processing conditions for extracting the real-time communication parameter information of each node of the approved power system line from the data monitoring instrument are: Measure the real-time communication parameter information of each node of the power system line through the data monitoring instrument, and synchronously transmit the real-time communication parameter information of each node to the cloud processor, where the real-time communication parameter information includes real-time communication transmission rate, real-time channel bandwidth, and real-time delay.

[0013] As a preferred technical solution, the specific processing for analyzing and obtaining the real-time communication monitoring anomaly evaluation value of each node of the approved power system line includes: Extract the ideal communication parameter information from the database, where the ideal communication parameter information includes ideal communication transmission rate, ideal channel bandwidth, and ideal delay, compare the real-time communication parameter information of each node of the approved power system line with the ideal communication parameter information, and based on the comparison result, analyze and obtain the real-time communication monitoring anomaly evaluation value of each node of the approved power system line.

[0014] As a preferred technical solution, the specific processing conditions for analyzing and obtaining the real-time communication monitoring anomaly evaluation value of each node of the approved power system line are: ; Among them, is the real-time communication monitoring anomaly evaluation value of the th node of the approved power system, is the real-time communication transmission rate of the th node of the approved power system at the moment, To approve the real-time channel bandwidth at the th node of the power system, at the To approve the real-time delay at the th node of the power system, at the To approve the ideal communication transmission rate at the th node of the power system, To approve the ideal channel bandwidth at the th node of the power system, To approve the ideal delay at the th node of the power system, To approve the allowable fluctuation value of the communication transmission rate at the th node of the power system, To approve the allowable fluctuation value of the channel bandwidth at the th node of the power system, is the time number, , is the weight factor of the real-time communication transmission rate, is the weight factor of the real-time channel bandwidth, is the weight factor of the real-time delay.

[0015] As a preferred technical solution, based on the real-time communication monitoring anomaly evaluation value of each node of the approved power system line, locking the power system nodes in need of governance and issuing a warning, specifically including: Based on the real-time communication monitoring anomaly evaluation value of each node of the approved power system and the verification threshold of the communication monitoring parameters of each node of the approved power system, comparing the real-time communication monitoring anomaly evaluation value of each node of the approved power system with the verification threshold of the communication monitoring parameters of each node of the approved power system. If there is a real-time communication monitoring anomaly evaluation value in a certain node of the approved power system that exceeds the verification threshold of the communication monitoring parameters of this node, then define this node of the approved power system as a power system node in need of governance and issue a warning.

[0016] Compared with the prior art, the embodiments of the present invention have at least the following beneficial effects: (1) The present invention provides a data monitoring and governance method based on a power model. By separately monitoring the fluctuations of communication parameters in each node of the power system line, it effectively monitors the data transmission and communication status of each node of the power system and avoids significant impacts caused by communication delays.

[0017] (2) By paying attention to the historical electrical parameters and environmental information of each node, the present invention performs more intensive and strict data perception processing on the nodes with poor historical data performance and harsh environments to ensure effective data monitoring and governance of this node.

[0018] (3) By analyzing the historical electrical parameters and environmental information of each node, and quantifying to obtain the comprehensive verification values of each node on the lines of the approved power system, and matching the verification thresholds of the communication monitoring parameters for each node based on the comprehensive verification values, it is possible to deeply analyze the environmental interference and performance of each node, and achieve key communication monitoring for nodes with high comprehensive verification values, that is, nodes that are more affected by the environment and have poor electrical performance, avoiding power management risks caused by insufficient communication supervision and weak communication supervision intensity, improving the monitoring pertinence of the approved power system, further enhancing the overall management level and operation efficiency of the power system, and ensuring the stability and security of power supply.

[0019] Of course, it is not necessary for any product implementing the present invention to achieve all the above-mentioned advantages simultaneously. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 It is a schematic flowchart of the method of the present invention.

[0021] Figure 2 It is a scatter plot example of the comprehensive verification values of each node on the lines of the approved power system and the verification thresholds of the communication monitoring parameters involved in the embodiments of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0022] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0023] In the description of the present invention, it should be understood that the terms "open hole", "upper", "lower", "thickness", "top", "middle", "length", "inner", "periphery", etc. indicating orientation or positional relationship are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the components or elements referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus cannot be construed as a limitation to the present invention.

[0024] Please refer to Figure 1 As shown, the embodiments of the present invention provide a data monitoring and governance method based on a power model, which specifically includes: S1. The cloud processor obtains the power system that has passed the requirements review, marked as the approved power system, and obtains the historical data of each node on the lines of the approved power system, and then inputs it into the power model for processing to obtain the comprehensive verification values of each node on the lines of the approved power system; Extract the historical data of each node of the approved power system corresponding to the number from the database based on the number information of the approved power system; The historical data of each node of the line of the approved power system specifically includes: The historical electrical parameter information of each node of the line of the approved power system and the historical environmental parameter information of the geographical area where it is located.

[0025] The historical electrical parameter information of each node of the line of the approved power system and the historical environmental parameter information of the geographical area where it is located, where: The historical electrical parameter information includes the historical average voltage value, historical average active power, historical average reactive power, and historical average grid frequency of each node; The historical environmental parameter information includes the historical average temperature, historical average humidity, and historical average electromagnetic interference intensity of the geographical area where each node is located.

[0026] The integrated processing to obtain the comprehensive verification value of each node of the line of the approved power system, and the specific processing conditions are: Based on the historical electrical parameter information, process to obtain the electrical parameter verification value of each node of the line of the approved power system, and based on the historical environmental parameter information, process to obtain the environmental parameter verification value of the geographical area where each node of the line of the approved power system is located; Based on the electrical parameter verification value of each node of the line of the approved power system and the environmental parameter verification value of the geographical area where each node of the line of the approved power system is located, and input them into the power model for summary processing to obtain the comprehensive verification value of each node of the line of the approved power system; The comprehensive verification value of each node of the line of the approved power system is used to characterize the deviation degree between the historical electrical parameter information of each node of the line of the approved power system and the historical environmental parameter information of the geographical area where it is located and the ideal state.

[0027] Based on the historical electrical parameter information, process to obtain the electrical parameter verification value of each node of the line of the approved power system, and the specific processing conditions are: ; Wherein, is the electrical parameter verification value of the i-th node of the line of the approved power system, is the historical average voltage value of the -th node of the approved power system, is the historical average active power of the -th node of the approved power system, is the historical average reactive power of the -th node of the approved power system, is the historical average grid frequency of the -th node of the approved power system, To determine the ideal voltage value of the ith node of the power system line, To determine the ideal active power of the ith node of the power system line, To determine the ideal reactive power of the ith node of the power system line, To determine the ideal grid frequency of the ith node of the power system line, Number each node of the line. is the voltage value weight factor, is the active power weight factor, is the reactive power weight factor, is the grid frequency weight factor.

[0028] The voltage value weight factor, active power weight factor, reactive power weight factor and grid frequency weight factor all have a value range between 0 and 1 and satisfy , the voltage value weight factor is the influence factor corresponding to the electrical parameter verification value of each node of the approved power system line preset in the database, which represents the numerical value of the influence degree of the voltage value on the electrical parameter verification value of each node of the approved power system line. When in use, the voltage value weight factor can be directly obtained from the database, and its corresponding relationship is a pre-set mapping relationship. For example, the electrical parameter verification value of each node of the approved power system line and the voltage value weight factor corresponding to the voltage value form a mapping set, and the real-time voltage value is input into the mapping set to obtain the voltage value weight factor, and the mapping relationship therein is one-to-one correspondence; the active power weight factor is the influence factor corresponding to the electrical parameter verification value of each node of the approved power system line preset in the database, which represents the numerical value of the influence degree of the active power on the electrical parameter verification value of each node of the approved power system line. When in use, the active power weight factor can be directly obtained from the database, and its corresponding relationship is a pre-set mapping relationship. For example, the electrical parameter verification value of each node of the approved power system line and the active power weight factor corresponding to the active power form a mapping set, and the real-time active power is input into the mapping set to obtain the active power weight factor, and the mapping relationship therein is one-to-one correspondence; the reactive power weight factor is the influence factor corresponding to the electrical parameter verification value of each node of the approved power system line preset in the database, which represents the numerical value of the influence degree of the reactive power on the electrical parameter verification value of each node of the approved power system line. When in use, the reactive power weight factor can be directly obtained from the database, and its corresponding relationship is a pre-set mapping relationship. For example, the electrical parameter verification value of each node of the approved power system line and the reactive power weight factor corresponding to the reactive power form a mapping set, and the real-time reactive power is input into the mapping set to obtain the reactive power weight factor, and the mapping relationship therein is one-to-one correspondence; the power grid frequency weight factor is the influence factor corresponding to the electrical parameter verification value of each node of the approved power system line preset in the database, which represents the numerical value of the influence degree of the power grid frequency on the electrical parameter verification value of each node of the approved power system line. When in use, the power grid frequency weight factor can be directly obtained from the database, and its corresponding relationship is a pre-set mapping relationship. For example, the electrical parameter verification value of each node of the approved power system line and the power grid frequency weight factor corresponding to the power grid frequency form a mapping set, and the real-time power grid frequency is input into the mapping set to obtain the power grid frequency weight factor, and the mapping relationship therein is one-to-one correspondence.

[0029] It is worth mentioning that the voltage value is the potential difference between two points in an electric field, the active power is the electric power that converts electrical energy into other forms of energy, the reactive power is the electric power required to establish and maintain the magnetic field in a circuit. It does not directly convert into other forms of energy, but periodically exchanges energy with the power source, and the power grid frequency refers to the rate of change of alternating current in the power grid.

[0030] Voltage is the basis for the transmission of electric power. Whether it is active power or reactive power, they can only be generated under the action of voltage. The magnitude of voltage directly affects the magnitude of electric power. Active power and reactive power are both components of electric power, but they have different natures and functions. Active power is used for actual work, while reactive power is used to establish and maintain the magnetic field. In the power system, it is necessary to maintain the balance of active power and reactive power to ensure the stable operation of the power system. The stability of the grid frequency is one of the important conditions for the normal operation of the power system. Although the grid frequency itself does not directly determine the magnitude of voltage, active power or reactive power, their stable operation requires a stable grid frequency. In addition, load changes in the grid, regulation of the generator speed control system, etc. will all affect the stability of the grid frequency.

[0031] According to the historical environmental parameter information, the environmental parameter verification values of each node in the approved power system line in the geographical area are processed. The specific processing conditions are as follows: ; Among them, is the environmental parameter verification value of the geographical area where the i-th node of the approved power system line is located, is the historical average temperature of the geographical area where the -th node of the approved power system is located, is the historical average humidity of the geographical area where the -th node of the approved power system is located, is the historical average electromagnetic interference intensity of the geographical area where the -th node of the approved power system is located, is the ideal temperature of the operating environment of the approved power system line, is the ideal humidity of the operating environment of the approved power system line, is the ideal electromagnetic interference intensity of the operating environment of the approved power system line, is the approved power system node number, is the temperature weight factor, is the humidity weight factor, is the electromagnetic interference intensity weight factor.

[0032] The temperature weight factor, humidity weight factor, and electromagnetic interference intensity weight factor all have a value range between 0 and 1 and satisfy , the temperature weight factor is the influence factor corresponding to the environmental parameter verification value of the geographical area where each node of the approved power system line is located in the database, representing the numerical value of the influence degree of temperature on the environmental parameter verification value of the geographical area where each node of the approved power system line is located. When in use, the temperature weight factor can be directly obtained from the database, and its corresponding relationship is a pre-set mapping relationship. For example: the environmental parameter verification value of the geographical area where each node of the approved power system line is located and the temperature weight factor corresponding to the temperature form a mapping set, and the real-time temperature is input into the mapping set to obtain the temperature weight factor, and the mapping relationship therein is one-to-one correspondence; the humidity weight factor is the influence factor corresponding to the environmental parameter verification value of the geographical area where each node of the approved power system line is located in the database, representing the numerical value of the influence degree of humidity on the environmental parameter verification value of the geographical area where each node of the approved power system line is located. When in use, the humidity weight factor can be directly obtained from the database, and its corresponding relationship is a pre-set mapping relationship. For example: the environmental parameter verification value of the geographical area where each node of the approved power system line is located and the humidity weight factor corresponding to the humidity form a mapping set, and the real-time humidity is input into the mapping set to obtain the humidity weight factor, and the mapping relationship therein is one-to-one correspondence; the electromagnetic interference intensity weight factor is the influence factor corresponding to the environmental parameter verification value of the geographical area where each node of the approved power system line is located in the database, representing the numerical value of the influence degree of electromagnetic interference intensity on the environmental parameter verification value of the geographical area where each node of the approved power system line is located. When in use, the electromagnetic interference intensity weight factor can be directly obtained from the database, and its corresponding relationship is a pre-set mapping relationship. For example: the environmental parameter verification value of the geographical area where each node of the approved power system line is located and the electromagnetic interference intensity weight factor corresponding to the electromagnetic interference intensity form a mapping set, and the real-time electromagnetic interference intensity is input into the mapping set to obtain the electromagnetic interference intensity weight factor, and the mapping relationship therein is one-to-one correspondence.

[0033] It should be noted that the impacts of temperature, humidity, and electromagnetic interference intensity on the power system are multi-faceted. A high-temperature environment may lead to a decline in the performance of power equipment, such as a reduction in the efficiency of equipment such as transformers and generators, thereby affecting the power supply capacity of the entire power system. Excessive temperature will cause the internal electrical components and parts of the equipment to be damaged due to overheating, increasing the risk of electrical faults. In a high-temperature environment, the insulation performance of electrical equipment may decline, the insulation resistance may decrease, increasing the risk of electrical faults. Organic insulation materials will become brittle and age at high temperatures, further reducing the insulation performance and even possibly resulting in insulation breakdown. High temperature will also accelerate the aging process of the equipment and shorten the service life of the equipment.

[0034] High humidity will reduce the insulation strength of electrical equipment. Moisture in the air adheres to the surface of the insulation material, reducing the insulation resistance of the electrical equipment and even potentially causing insulation breakdown. Humid air is conducive to the growth of mold, which contains a large amount of moisture and will further reduce the insulation performance of the equipment. During the metabolic process of mold, acidic substances may also be secreted, interacting with the insulation material and causing the insulation performance to decline. Humid air will cause corrosion of the conductive metals, magnetic silicon steel sheets, and metal enclosures in power equipment, reducing the performance and service life of the equipment.

[0035] Electromagnetic interference may cause abnormal operation of power equipment, such as frequent failures and performance degradation, directly affecting the normal operation of the equipment. Strong electromagnetic interference may cause power equipment to malfunction, resulting in damage to the equipment or the working environment. For example, high-voltage lines affected by electromagnetic fields may trip, leading to serious consequences such as fires. Frequent electromagnetic interference will accelerate the aging process of internal components of the equipment, shortening the service life of the equipment. Electromagnetic interference may also affect surrounding communication equipment, interfering with the transmission of radio signals and causing problems such as communication interruption and data transmission errors. When a device is affected by electromagnetic interference, it may spread to other devices through wires or the power grid, causing cascading failures and bringing greater economic losses and maintenance difficulties.

[0036] The power model is specifically expressed as follows: ; where is the comprehensive verification value of the th node of the approved power system line, is the electrical parameter verification value of the i-th node of the approved power system line, is the environmental parameter verification value of the geographical area where the i-th node of the approved power system line is located, is the weight factor of the electrical parameter verification value, is the weight factor of the environmental parameter verification value.

[0037] It should be noted that the value ranges of the weight factor of the electrical parameter verification value and the weight factor of the environmental parameter are both between 0 and 1, and satisfy , the electrical parameter verification value weight factor is the influence factor corresponding to the comprehensive verification value of each node of the approved power system line preset in the database, which represents the numerical value of the influence degree of the electrical parameter verification value on the comprehensive verification value of each node of the approved power system line. When in use, the electrical parameter verification value weight factor can be directly obtained from the database, and its corresponding relationship is a preset mapping relationship. For example: the comprehensive verification value of each node of the approved power system line and the electrical parameter verification value weight factor corresponding to the electrical parameter verification value form a mapping set, and the real-time electrical parameter verification value is input into the mapping set to obtain the electrical parameter verification value weight factor, and the mapping relationship therein is one-to-one correspondence; the environmental parameter verification value weight factor is the influence factor corresponding to the comprehensive verification value of each node of the approved power system line preset in the database, which represents the numerical value of the influence degree of the environmental parameter verification value on the comprehensive verification value of each node of the approved power system line. When in use, the environmental parameter verification value weight factor can be directly obtained from the database, and its corresponding relationship is a preset mapping relationship. For example: the comprehensive verification value of each node of the approved power system line and the electrical parameter verification value weight factor corresponding to the environmental parameter verification value form a mapping set, and the real-time environmental parameter verification value is input into the mapping set to obtain the environmental parameter verification value weight factor, and the mapping relationship therein is one-to-one correspondence.

[0038] As shown in Table 1 below, it is an example of the comprehensive verification value of each node of the approved power system line. In this example, the voltage value weight factor, active power weight factor, reactive power weight factor and power grid frequency weight factor of each node of the approved power system line are set to 0.2, 0.3, 0.2, 0.3 respectively, the temperature weight factor, humidity weight factor and electromagnetic interference intensity weight factor of each node of the approved power system line are set to 0.3, 0.4, 0.3 respectively, and the electrical parameter verification value weight factor and environmental parameter weight factor are set to 0.5, 0.5 respectively. The specific output production verification values of the same category are as follows in the table: Table 1 Example of the comprehensive verification value of each node of the approved power system line Node number Electrical parameter verification value Environmental parameter verification value Comprehensive verification value 1 1.123 1.054 2.971 2 1.156 1.032 2.986 3 1.089 1.047 2.909 4 1.234 1.012 3.074 5 1.179 1.039 3.031 From the above table, it can be seen that the comprehensive verification value of each node of the approved power system line reflects the deviation degree between the historical electrical parameter information of each node of the approved power system line and the historical environmental parameter information of the geographical area where it is located and the ideal state. The larger the comprehensive verification value of a certain node of the approved power system line, the greater the deviation between the historical electrical parameter information of this node and the ideal electrical parameters, and the more severe the environment of the geographical area where it is located, which also means that this node requires more precise and rigorous monitoring and governance. As can be seen from the above table, the comprehensive verification value of Node No. 4 is the largest, indicating that in actual monitoring of Node No. 4, the verification threshold, and the data monitoring for Node No. 4 needs to be more strictly controlled.

[0039] Based on the comprehensive verification values of each node of the approved power system line, the verification thresholds of the communication monitoring parameters of each node of the approved power system are located; The location of the verification thresholds of the communication monitoring parameters of each node of the approved power system specifically includes: Based on the comprehensive verification values of each node of the approved power system line, match with the verification thresholds of the communication monitoring parameters corresponding to each comprehensive verification value interval in the database, and locate the verification thresholds of the communication monitoring parameters of each node of the approved power system.

[0040] As Figure 2 shown, it is a scatter plot example of the comprehensive verification values of each node of the approved power system line and the verification thresholds of the communication monitoring parameters involved in another embodiment. Taking the comprehensive verification value as the horizontal axis and the verification threshold of the communication monitoring parameter as the vertical axis, in the example diagram, the comprehensive verification value and the verification threshold of the communication monitoring parameter show a negative correlation relationship, that is, when the comprehensive verification value is larger, the verification threshold of the communication monitoring parameter is smaller. It can be seen from the example diagram that the vertical axis represents the verification threshold of the communication monitoring parameter. The smaller the verification threshold of the communication monitoring parameter of a certain node, the higher the historical electrical parameter fluctuation of this node of the approved power system or the more severe the environment, which has a greater impact on data communication transmission and requires more stringent data monitoring.

[0041] The higher the historical electrical parameter fluctuation of a certain node of the approved power system or the more severe the environment where the node is located, the larger the comprehensive verification value of the communication monitoring parameter of this node. By matching each comprehensive verification value interval in the database, the verification threshold of the communication monitoring parameter of this node of the approved power system is located. Since the comprehensive verification value and the verification threshold of the communication monitoring parameter show a negative correlation relationship, the verification threshold of the communication monitoring parameter of this node is smaller and more stringent monitoring is required. Focusing on monitoring nodes with high comprehensive verification values can improve the monitoring efficiency of the approved power system, enhance the overall management level and operation efficiency of the power system, and ensure the stability and security of power supply.

[0042] S2. Conduct real-time monitoring on the sensing device, extract the real-time communication parameter information of each node of the approved power system line from the data monitoring instrument, and obtain the real-time communication monitoring anomaly evaluation value of each node of the approved power system line through analysis and processing; The specific processing conditions for extracting the real-time communication parameter information of each node of the approved power system line from the data monitoring instrument are: Measure the real-time communication parameter information of each node of the power system line through the data monitoring instrument, and synchronously transmit the real-time communication parameter information of each node to the cloud processor, where the real-time communication parameter information includes real-time communication transmission rate, real-time channel bandwidth, and real-time delay.

[0043] The data monitoring instrument includes a communication signal analyzer, which captures data packets passing through its interface, and obtains real-time communication parameter information of each node on the approved power system line after parsing. The analysis and processing obtain the real-time communication monitoring anomaly evaluation value of each node on the approved power system line, specifically including: Extract ideal communication parameter information from the database. The ideal communication parameter information includes ideal communication transmission rate, ideal channel bandwidth, and ideal delay. Compare the real-time communication parameter information of each node on the approved power system line with the ideal communication parameter information, and based on the comparison result, analyze and process to obtain the real-time communication monitoring anomaly evaluation value of each node on the approved power system line.

[0044] The analysis and processing obtain the real-time communication monitoring anomaly evaluation value of each node on the approved power system line, and the specific processing conditions are: ; Among them, is the real-time communication monitoring anomaly evaluation value of the th node of the approved power system, is the real-time communication transmission rate of the th node of the approved power system at time , is the real-time channel bandwidth of the th node of the approved power system at time , is the real-time delay of the th node of the approved power system at time , is the ideal communication transmission rate of the th node of the approved power system, is the ideal channel bandwidth of the th node of the approved power system, is the ideal delay of the th node of the approved power system, is the allowable fluctuation value of the communication transmission rate of the th node of the approved power system, is the allowable fluctuation value of the channel bandwidth of the th node of the approved power system, is the time serial number, , is the weight factor of the real-time communication transmission rate, is the weight factor of the real-time channel bandwidth, is the weight factor of the real-time delay.

[0045] The value ranges of the real-time communication transmission rate weight factor, the real-time channel bandwidth weight factor, and the real-time delay weight factor are all between 0 and 1, and satisfy , where the real-time communication transmission rate weight factor is the influence factor corresponding to the real-time communication monitoring anomaly evaluation value of each node of the approved power system line preset in the database, representing the numerical value of the influence degree of the real-time communication transmission rate on the real-time communication monitoring anomaly evaluation value of each node of the approved power system line. When in use, the real-time communication transmission rate weight factor can be directly obtained from the database, and its corresponding relationship is a pre-set mapping relationship. For example, the real-time communication monitoring anomaly evaluation value of each node of the approved power system line and the real-time communication transmission rate weight factor corresponding to the real-time communication transmission rate form a mapping set. Inputting the real-time communication transmission rate of each node of the real-time approved power system line into the mapping set to obtain the real-time communication transmission rate weight factor, and the mapping relationship therein is one-to-one correspondence; the real-time channel bandwidth weight factor is the influence factor corresponding to the real-time communication monitoring anomaly evaluation value of each node of the approved power system line preset in the database, representing the numerical value of the influence degree of the real-time channel bandwidth on the real-time communication monitoring anomaly evaluation value of each node of the approved power system line. When in use, the real-time channel bandwidth weight factor can be directly obtained from the database, and its corresponding relationship is a pre-set mapping relationship. For example, the real-time communication monitoring anomaly evaluation value of each node of the approved power system line and the real-time channel bandwidth weight factor corresponding to the real-time channel bandwidth form a mapping set. Inputting the real-time channel bandwidth of each node of the real-time approved power system line into the mapping set to obtain the real-time channel bandwidth weight factor, and the mapping relationship therein is one-to-one correspondence; the real-time delay weight factor is the influence factor corresponding to the real-time communication monitoring anomaly evaluation value of each node of the approved power system line preset in the database, representing the numerical value of the influence degree of the real-time delay on the real-time communication monitoring anomaly evaluation value of each node of the approved power system line. When in use, the real-time delay weight factor can be directly obtained from the database, and its corresponding relationship is a pre-set mapping relationship. For example, the real-time communication monitoring anomaly evaluation value of each node of the approved power system line and the real-time delay weight factor corresponding to the real-time delay form a mapping set. Inputting the real-time delay of each node of the real-time approved power system line into the mapping set to obtain the real-time delay weight factor, and the mapping relationship therein is one-to-one correspondence.

[0046] It should be noted that there is a certain correlation among the real-time communication transmission rate, real-time channel bandwidth, and real-time delay. The size of the channel bandwidth directly affects the amount of data processed. A higher channel bandwidth means that more data can be processed, resulting in lower latency under the same data load. Real-time delay refers to the time required for data to be transmitted from the sender to the receiver. When the network is congested, the communication transmission rate may decrease while the delay increases. A lower transmission rate may lead to a higher delay because data packets queue up while waiting for a transmission opportunity. Conversely, if the network is lightly loaded, the transmission rate is higher and the delay is lower. The real-time communication transmission rate generally does not exceed the channel bandwidth. When the network load is light, the communication transmission rate may be much lower than the channel bandwidth; when the network load approaches or reaches the channel capacity, the transmission rate approaches the channel bandwidth. If the transmission rate equals the channel bandwidth for a long time, it may indicate that the channel is saturated, and at this time, the network performance may degrade due to congestion. When the network is congested, the relationship among the three parameters becomes particularly obvious. The transmission rate decreases, the delay increases, and the channel bandwidth represents the potential capacity of the network. These three parameters affect each other, and any change in one parameter may reflect the network condition.

[0047] S3. Lock the power system nodes in need of governance according to the real-time communication monitoring anomaly evaluation values of each node of the approved power system line, and issue a warning.

[0048] The locking of the power system nodes in need of governance according to the real-time communication monitoring anomaly evaluation values of each node of the approved power system line and the issuing of a warning specifically include: Based on the real-time communication monitoring anomaly evaluation values of each node of the approved power system and the verification threshold of the communication monitoring parameters of each node of the approved power system, compare the real-time communication monitoring anomaly evaluation values of each node of the approved power system with the verification threshold of the communication monitoring parameters of each node of the approved power system. If there is a real-time communication monitoring anomaly evaluation value in a certain node of the approved power system that exceeds the verification threshold of the communication monitoring parameters of this node, then define this approved power system node as a power system node in need of governance and issue a warning.

[0049] In this embodiment, the present invention provides a data monitoring and governance method based on a power model. By separately monitoring the fluctuations of communication parameters in each node of the power system line, the data transmission and communication between each node of the power system are effectively monitored, avoiding significant impacts caused by communication delays.

[0050] By paying attention to the historical electrical parameters and environmental information of each node, more intensive and strict data perception processing is performed on nodes with poor historical data performance and relatively harsh environments to ensure effective data monitoring and governance of this node.

[0051] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or device.

[0052] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific embodiments described. Obviously, many modifications and variations can be made according to the content of this specification. These embodiments are selected and specifically described in this specification in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can well understand and utilize the present invention. As long as it does not deviate from the structure of the present invention or exceed the scope defined by the present invention, it should fall within the protection scope of the present invention.

Claims

1. A data monitoring and governance method based on a power model, characterized in that Including: A power system that obtains demand monitoring and governance through a cloud processor, marked as an approved power system, and obtains the historical data of each node on the line of the approved power system, and then inputs it into a power model for processing to obtain the comprehensive verification value of each node on the line of the approved power system; According to the comprehensive verification values of each node on the line of the approved power system, locate the verification thresholds of the communication monitoring parameters of each node of the approved power system; Extract the real-time communication parameter information of each node on the line of the approved power system from the data monitoring instrument, and obtain the real-time communication monitoring anomaly evaluation value of each node on the line of the approved power system through analysis and processing; Based on the real-time communication monitoring anomaly evaluation value of each node on the line of the approved power system and the verification thresholds of the communication monitoring parameters of each node of the approved power system, lock the nodes of the demand governance power system and issue a warning.

2. The data monitoring and governance method based on the power model according to claim 1, wherein: The historical data of each node on the line of the approved power system specifically includes: The historical electrical parameter information of each node on the line of the approved power system and the historical environmental parameter information of the geographical area where it is located.

3. The data monitoring and governance method based on the power model according to claim 2, characterized in that: The historical electrical parameter information of each node on the line of the approved power system and the historical environmental parameter information of the geographical area where it is located, where: The historical electrical parameter information includes the historical average voltage value, historical average active power, historical average reactive power, and historical average grid frequency of each node; The historical environmental parameter information includes the historical average temperature, historical average humidity, and historical average electromagnetic interference intensity of the geographical area where each node is located.

4. The data monitoring and governance method based on the power model according to claim 3, wherein: The processing to obtain the comprehensive verification value of each node on the line of the approved power system, the specific processing conditions are: According to the historical electrical parameter information, process to obtain the electrical parameter verification value of each node on the line of the approved power system, and according to the historical environmental parameter information, process to obtain the environmental parameter verification value of the geographical area where each node on the line of the approved power system is located; Based on the electrical parameter verification value of each node on the line of the approved power system and the environmental parameter verification value of the geographical area where each node on the line of the approved power system is located, and input it into the power model for summary processing to obtain the comprehensive verification value of each node on the line of the approved power system; The comprehensive verification value of each node on the line of the approved power system is used to characterize the deviation degree between the historical electrical parameter information of each node on the line of the approved power system and the historical environmental parameter information of the geographical area where it is located and the ideal state.

5. The data monitoring and governance method based on the power model according to claim 4, characterized in that: The power model, the specific expression form is as follows: ; Among them, is the comprehensive verification value of the th node of the approved power system line, is the electrical parameter verification value of the th node of the approved power system line, is the environmental parameter verification value of the geographical area where the th node of the approved power system line is located, is the weight factor of the electrical parameter verification value, is the weight factor of the environmental parameter verification value.

6. The data monitoring and governance method based on the power model according to claim 1, wherein: The location to obtain the verification thresholds of the communication monitoring parameters of each node of the approved power system specifically includes: Based on the comprehensive verification value of each node on the line of the approved power system, match it with the verification thresholds of the communication monitoring parameters corresponding to each comprehensive verification value interval in the database, and locate the verification thresholds of the communication monitoring parameters of each node of the approved power system.

7. The data monitoring and governance method based on the power model according to claim 1, characterized in that: The extraction of the real-time communication parameter information of each node on the line of the approved power system from the data monitoring instrument, the specific processing conditions are: Measure the real-time communication parameter information of each node on the power system line through the data monitoring instrument, and synchronously transmit the real-time communication parameter information of each node to the cloud processor, where the real-time communication parameter information includes real-time communication transmission rate, real-time channel bandwidth, and real-time delay.

8. The data monitoring and governance method based on the power model according to claim 7, characterized in that: The analysis and processing obtain the real-time communication monitoring anomaly evaluation values of each node of the approved power system line, specifically including: Extract the ideal communication parameter information from the database. The ideal communication parameter information includes the ideal communication transmission rate, the ideal channel bandwidth, and the ideal delay. Compare the real-time communication parameter information of each node of the approved power system line with the ideal communication parameter information. Based on the comparison result, analyze and process to obtain the real-time communication monitoring anomaly evaluation values of each node of the approved power system line.

9. The data monitoring and governance method based on the power model according to claim 8, wherein: The analysis and processing obtain the real-time communication monitoring anomaly evaluation values of each node of the approved power system line. The specific processing conditions are: ； wherein, is the abnormal evaluation value of real-time communication monitoring for the th node of the approved power system, is the real-time communication transmission rate at the th moment of the th node of the approved power system, is the real-time channel bandwidth at the th moment of the th node of the approved power system, is the real-time delay at the th moment of the th node of the approved power system, is the ideal communication transmission rate of the th node of the approved power system, is the ideal channel bandwidth of the th node of the approved power system, is the ideal delay of the th node of the approved power system, is the allowable fluctuation value of the communication transmission rate of the th node of the approved power system, is the allowable fluctuation value of the channel bandwidth of the th node of the approved power system, is the moment number, , is the weight factor of the real-time communication transmission rate, is the weight factor of the real-time channel bandwidth, is the weight factor of the real-time delay.

10. The data monitoring and governance method based on the power model according to claim 1, characterized in that: According to the real-time communication monitoring anomaly evaluation values of each node of the approved power system line, lock the power system nodes that need to be governed and issue a warning. Specifically, it includes: Based on the real-time communication monitoring anomaly evaluation values of each node of the approved power system and the verification threshold of the communication monitoring parameters of each node of the approved power system, compare the real-time communication monitoring anomaly evaluation values of each node of the approved power system with the verification threshold of the communication monitoring parameters of each node of the approved power system. If there is a real-time communication monitoring anomaly evaluation value in a certain node of the approved power system that exceeds the verification threshold of the communication monitoring parameters of this node, then define this node of the approved power system as a power system node that needs to be governed and issue a warning.

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