Power data management method and system based on industrial switch

Abstract

The invention provides a power data management method and system based on an industrial switch. According to the method, an electric power monitoring data sequence is obtained at a first time node, electric power measured data is obtained at a second time node, and prediction is performed by using a preset electric power monitoring data prediction model and combining historical data, so that electric power prediction data of the second time node is determined; and sending the monitored and predicted related data as power monitoring data to an industrial switch, so that the industrial switch determines a transmission priority corresponding to the power monitoring data, thereby reasonably allocating communication bandwidth resources, ensuring timely transmission of important data, avoiding network congestion, and improving the transmission efficiency. And better management of power grid monitoring data is facilitated.

Description

Technical Field

[0001] The present application relates to data processing technology, and in particular to an electric power data management method and system based on an industrial switch. Background Art

[0002] In the power industry, power data management is a crucial task, which involves real-time monitoring of the power system, data collection, analysis, and decision support.

[0003] With the continuous expansion of power system scale and the increasing complexity of power load, traditional power data management methods face huge challenges, especially in terms of efficient data transmission and management. Traditional power data management systems usually adopt fixed monitoring cycles and data transmission strategies, which to some extent limit the flexibility and response speed of the system. Summary of the invention

[0004] The present application provides an electric power data management method and system based on an industrial switch, which is used to solve the technical problem that the static data transmission strategy adopted by the existing electric power data management system leads to low efficiency in transmission of key electric power data.

[0005] In a first aspect, the present application provides a power data management method based on an industrial switch, which is applied to a power data management system, wherein the power data management system includes a power data management platform, an industrial switch, and a power data monitoring node set, wherein each power data monitoring node in the power data monitoring node set is respectively communicated with the industrial switch, and the industrial switch is communicated with the power data management platform. The method includes: At a first time node, a power data monitoring node among the power data monitoring nodes acquires a power monitoring data sequence of a monitoring target, wherein the power monitoring data sequence includes first power monitoring data acquired at the first time node and power monitoring data acquired at at least one time node before the first time node; The power data monitoring node uses a preset power monitoring data prediction model and determines the power prediction data of the monitoring target at a second time node according to the power monitoring data sequence, where the second time node is a time node next to the first time node in a preset monitoring cycle of the power data monitoring node; At the second time node, the power data monitoring node obtains the power measured data of the monitoring target, and sends the power monitoring data to the industrial switch, where the power monitoring data includes the power monitoring data sequence, the power forecast data, and the power measured data; The industrial switch determines the transmission priority corresponding to the power monitoring data according to the power forecast data and the power measured data, and the transmission priority is used to determine the communication bandwidth between the industrial switch and the power data management platform.

[0006] In the above scheme, by acquiring a power monitoring data sequence at a first time node, and acquiring actual power data at a second time node, and using a preset power monitoring data prediction model and combining historical data for prediction, to determine the power prediction data at the second time node, the above monitoring and prediction related data are sent to the industrial switch as power monitoring data, so that the industrial switch can determine the transmission priority corresponding to the power monitoring data, thereby reasonably allocating communication bandwidth resources, ensuring the timely transmission of important data, avoiding network congestion, and helping to better manage power grid monitoring data.

[0007] Optionally, the power data monitoring node uses a preset power monitoring data prediction model and determines the power prediction data of the monitoring target at the second time node according to the power monitoring data sequence, including: The power data monitoring node determines a prediction order characteristic value according to the power monitoring data sequence; The power data monitoring node determines a first characteristic matrix and a second characteristic vector according to the power monitoring data sequence, so as to determine a prediction weight coefficient characteristic vector according to the prediction order characteristic value, the first characteristic matrix and the second characteristic vector; The power data monitoring node determines the power prediction data according to the prediction order characteristic value, the prediction weight coefficient characteristic vector and the power monitoring data sequence.

[0008] Optionally, the power data monitoring node uses a preset power monitoring data prediction model and determines the power prediction data of the monitoring target at the second time node according to the power monitoring data sequence, including: The power data monitoring node uses formula 1 and according to the power monitoring data sequence Determine the prediction order eigenvalue , the formula 1 is:

[0009] The power data monitoring node uses formula 2 and according to the power monitoring data sequence Determine the first characteristic matrix With the second eigenvector , according to the predicted order eigenvalue , the first characteristic matrix With the second eigenvector Determine the prediction weight coefficient feature vector , the formula 2 is:

[0010] The power data monitoring node uses formula 3 and predicts the order characteristic value according to the , the prediction weight coefficient feature vector And the power monitoring data sequence Determining the power forecast data , the formula 3 is:

[0011] in, is the prediction weight coefficient feature vector The The prediction weight coefficient.

[0012] In the above scheme, by determining the eigenvalue of the prediction order, constructing the characteristic matrix and eigenvector, and calculating the eigenvector of the prediction weight coefficient, the prediction model is made more stable and reliable, and the robustness of the prediction model is improved. Moreover, by using formulas 1, 2, and 3 for calculation, future power data can be predicted more accurately, which helps to take measures in advance to cope with changes in power load and increase the accuracy of the prediction results. In addition, as the monitoring data is updated, the prediction model can also be continuously adjusted to reflect the latest power system status, thereby realizing the effective update of power prediction data.

[0013] Specifically, the above formula 1 is used to determine the prediction order characteristic value according to the power monitoring data sequence. By determining the prediction order characteristic value, the power data monitoring node can adjust the complexity of the prediction model to make it more suitable for the current power data sequence characteristics, thereby improving the adaptability of the prediction model. In addition, a reasonable prediction order characteristic value helps to reduce unnecessary computational burden and optimize resource usage to reduce computing resource consumption. In addition, a suitable prediction order helps to improve the accuracy of power prediction data, thereby improving the overall performance of the power data management system, which is conducive to enhancing the accuracy of the prediction.

[0014] The above formula 2 is used to determine the first characteristic matrix and the second characteristic vector according to the power monitoring data sequence, and determine the prediction weight coefficient characteristic vector based on this information. By constructing the characteristic matrix and characteristic vector, the stability of the prediction model can be improved, and the prediction error caused by data fluctuations can be reduced, thereby improving the stability of the prediction. In addition, the construction of the characteristic matrix and characteristic vector helps to understand the changing rules of power data, thereby enhancing the interpretability of the prediction model. In addition, the prediction weight coefficient characteristic vector calculated based on the characteristic matrix and characteristic vector can further improve the performance of the prediction model.

[0015] The above formula 3 is used to determine the power forecast data according to the prediction order characteristic value, the prediction weight coefficient characteristic vector and the power monitoring data sequence. In formula 3, the characteristics of historical data, the prediction order and the weight coefficient are comprehensively considered, which helps to improve the accuracy of power forecast data. In addition, by dynamically adjusting the prediction order characteristic value and the weight coefficient, it can flexibly adapt to the changes in power data and improve the flexibility of prediction. Therefore, more accurate forecast data helps to optimize the resource allocation of the power system and reduce unnecessary energy waste.

[0016] In summary, formulas 1, 2, and 3 work together on the power data monitoring node to determine the prediction order eigenvalue, construct the characteristic matrix and eigenvector, and calculate the prediction weight coefficient eigenvector, thereby determining the power prediction data, thereby improving the prediction accuracy and stability of the power data management system and providing technical support for the efficient operation of the power system.

[0017] Optionally, before sending the power monitoring data to the industrial switch, the method further includes: The power data monitoring node generates an updated power monitoring data sequence according to the power monitoring data sequence and the power measured data, and determines that the number of power monitoring data in the updated power monitoring data sequence exceeds a first preset data threshold; and / or, The power data monitoring node determines that a difference between the power prediction data and the power measured data exceeds a second preset data threshold.

[0018] In this solution, by generating an updated power monitoring data sequence and checking whether the number of power monitoring data therein exceeds the threshold, the power data monitoring node is triggered to send the power monitoring data to the industrial switch only when the number exceeds the threshold, thereby avoiding frequent data transmission and causing communication congestion of the industrial switch. In addition, the number of power monitoring data in the updated power monitoring data sequence does not exceed the threshold, and the power data monitoring node determines that the difference between the power forecast data and the power measured data does not exceed the second preset data threshold, indicating that the deviation between the power forecast data and the power measured data is small during this period of time, and thus this part of the power monitoring data is normal data, which usually only needs to be backed up on the power data management platform later, without setting a higher transmission priority. Therefore, it can be transmitted after determining that the number of power monitoring data exceeds the threshold.

[0019] In addition, by comparing whether the difference between power forecast data and measured data exceeds a preset threshold, the system can detect abnormal situations and respond in a timely manner, thereby improving the system's fault detection capabilities.

[0020] Optionally, the power data monitoring node determines that a difference between the power prediction data and the power measured data exceeds a second preset data threshold, including: The power data monitoring node determines a first difference between the power forecast data and the power measured data; The power data monitoring node determines that the first difference is greater than the second preset data threshold; and / or, The power data monitoring node obtains the power forecast data sequence of the monitoring target at and before the second time node; The power data monitoring node determines a second difference value according to the power prediction data sequence, the power monitoring data sequence and the power measured data; The power data monitoring node determines that the second difference is greater than the second preset data threshold.

[0021] Optionally, the power data monitoring node determines that a difference between the power prediction data and the power measured data exceeds a second preset data threshold, including: The power data monitoring node uses formula 4 to determine the power prediction data The actual power measurement data The first difference between , the formula 4 is:

[0022] The power data monitoring node determines the first difference is greater than the second preset data threshold; and / or, The power data monitoring node obtains the power forecast data sequence of the monitoring target at and before the second time node ; The power data monitoring node uses formula 5 and predicts the power data sequence according to , the power monitoring data sequence And the measured power data Determine the second difference , the formula 5 is:

[0023] The power data monitoring node determines the second difference Greater than the second preset data threshold.

[0024] In the above scheme, by calculating the difference between the power forecast data and the measured data and comparing it with the preset threshold, the system can identify abnormal situations in a timely manner, thereby enhancing the system's abnormality detection capability. In addition, by analyzing the power forecast data sequence and the measured data, the system can more accurately judge the operating status of the power system and make decisions accordingly, thereby improving the system's decision-making accuracy.

[0025] In addition, the first difference between the power prediction data and the power measured data is determined by formula 4. By comparing the difference between the power prediction data and the measured data, the operating status of the power system can be monitored in real time, and any abnormal situation can be quickly detected, thereby achieving real-time monitoring and abnormality detection. By quantifying the prediction error, the accuracy of the prediction model can be evaluated, and the model parameters can be adjusted according to the actual situation to improve the accuracy of the prediction. When the first difference exceeds the second preset data threshold, it indicates that there is a large deviation between the prediction and the actual situation. At this time, the quality of the power monitoring data can be improved by increasing the frequency of data processing or changing the method of data processing. In addition, based on the difference between the predicted and measured data, the system can automatically adjust its behavior, such as adjusting the monitoring frequency or priority, to adapt to real-time changes in the power system.

[0026] And through formula 5, the second difference can be determined according to the power forecast data sequence, the power monitoring data sequence and the power measured data. By comparing the forecast data and the measured data at multiple time points, the changing trend of the power load can be analyzed, and the forecast model can be calibrated according to these trends to improve the accuracy of the forecast. By calculating the second difference, the performance of the power forecast model over a longer period of time can be evaluated, which is suitable for long-term evaluation. In addition, the calculation of the second difference can help the system identify and eliminate long-standing abnormal situations, thereby improving the stability and reliability of the system. In addition, for those situations where there are significant differences between the forecast and the actual measurement, the system can decide whether to reallocate resources based on the size of the second difference, such as adding monitoring nodes or increasing the priority of data transmission.

[0027] Optionally, the industrial switch determines the transmission priority corresponding to the power monitoring data according to the power forecast data and the power measured data, including: If the industrial switch determines that the first difference is greater than a third preset data threshold, it determines that the transmission priority corresponding to the power monitoring data is the first transmission priority, and the third preset data threshold is greater than the second preset data threshold; If the industrial switch determines that the first difference is less than the third preset data threshold and greater than the second preset data threshold, and the second difference is greater than the second preset data threshold, it is determined that the transmission priority corresponding to the power monitoring data is the second transmission priority, and the first transmission priority is higher than the second transmission priority; If the industrial switch determines that the first difference is less than the third preset data threshold and greater than the second preset data threshold, and the second difference is less than or equal to the second preset data threshold, then it is determined that the transmission priority corresponding to the power monitoring data is the third transmission priority, and the second transmission priority is higher than the third transmission priority.

[0028] In the above scheme, according to the difference between power forecast data and measured data, the industrial switch can automatically adjust the transmission priority of power monitoring data to realize intelligent scheduling of data transmission. By setting different transmission priorities, the system can reasonably allocate limited communication bandwidth resources, ensure the timely transmission of key data, and effectively optimize network resource allocation. In addition, by automatically adjusting the transmission priority according to different situations, the system can quickly adapt to different power needs and network conditions, thereby improving the flexibility of the system.

[0029] Optionally, the transmission priority is used to determine the communication bandwidth between the industrial switch and the power data management platform, including: The industrial switch obtains a current sequence of data to be transmitted; The industrial switch determines a communication bandwidth between the industrial switch and the power data management platform for transmitting the power monitoring data according to the sequence of data to be transmitted and the transmission priority corresponding to the power monitoring data.

[0030] Optionally, the industrial switch obtains the current sequence of data to be transmitted , wherein the data sequence to be transmitted The Data to be transmitted The power monitoring data; The industrial switch uses formula 6 and according to the sequence of data to be transmitted The transmission priority corresponding to the power monitoring data determines the communication bandwidth between the industrial switch and the power data management platform for transmitting the power monitoring data. , the formula 6 is:

[0031] in, The transmission priority corresponding to the power monitoring data is The corresponding preset minimum bandwidth, is the current total bandwidth, The data sequence to be transmitted The Data to be transmitted The corresponding data size.

[0032] In the above scheme, by determining the communication bandwidth through formula 6, the system can manage network resources more effectively and ensure the timely transmission of important data, thereby enhancing the bandwidth management capability. By reasonably allocating the communication bandwidth, the data transmission delay can be reduced, the system's response speed and data processing capability can be improved, thereby improving the overall performance of the system. In addition, by dynamically adjusting the communication bandwidth according to the transmission priority, the system can maximize the use of existing network resources, thereby effectively optimizing the utilization of network resources.

[0033] Optionally, if it is determined that the amount of power monitoring data in the updated power monitoring data sequence exceeds the first preset data threshold, the industrial switch determines the transmission priority corresponding to the power monitoring data according to the power forecast data and the power measured data, including: The industrial switch determines the lowest transmission priority of the transmission priorities corresponding to the power monitoring data according to the power prediction data and the power measured data.

[0034] In the above scheme, the number of power monitoring data in the updated power monitoring data sequence does not exceed the threshold, and the power data monitoring node determines that the difference between the power forecast data and the power measured data does not exceed the second preset data threshold, indicating that the power forecast data and the power measured data have a small deviation during this period of time, and thus this part of the power monitoring data is normal data, which usually only needs to be backed up on the power data management platform later, without setting a higher transmission priority. Therefore, it can be transmitted after determining that the number of power monitoring data exceeds the threshold. By setting the lowest transmission priority, even when a large amount of data is poured in, while ensuring that the transmission priority of key data is not affected, the data that needs to be backed up can be transmitted when the network is idle.

[0035] In a second aspect, the present application provides a power data management system, including: a power data management platform, an industrial switch, and a power data monitoring node set, wherein each power data monitoring node in the power data monitoring node set is respectively connected to the industrial switch for communication, and the industrial switch is connected to the power data management platform for communication; At a first time node, a power data monitoring node among the power data monitoring nodes acquires a power monitoring data sequence of a monitoring target, wherein the power monitoring data sequence includes first power monitoring data acquired at the first time node and power monitoring data acquired at at least one time node before the first time node; The power data monitoring node uses a preset power monitoring data prediction model and determines the power prediction data of the monitoring target at a second time node according to the power monitoring data sequence, where the second time node is a time node next to the first time node in a preset monitoring cycle of the power data monitoring node; At the second time node, the power data monitoring node obtains the power measured data of the monitoring target, and sends the power monitoring data to the industrial switch, where the power monitoring data includes the power monitoring data sequence, the power forecast data, and the power measured data; The industrial switch determines the transmission priority corresponding to the power monitoring data according to the power forecast data and the power measured data, and the transmission priority is used to determine the communication link between the industrial switch and the power data management platform.

[0036] Optionally, the power data monitoring node uses a preset power monitoring data prediction model and determines the power prediction data of the monitoring target at the second time node according to the power monitoring data sequence, including: The power data monitoring node uses formula 1 and according to the power monitoring data sequence Determine the prediction order eigenvalue , the formula 1 is:

[0037] The power data monitoring node uses formula 2 and according to the power monitoring data sequence Determine the first characteristic matrix With the second eigenvector , to predict the order eigenvalues ​​according to The first characteristic matrix With the second eigenvector Determine the prediction weight coefficient feature vector , the formula 2 is:

[0038] The power data monitoring node uses formula 3 and predicts the order characteristic value according to the , the prediction weight coefficient feature vector And the power monitoring data sequence Determining the power forecast data , the formula 3 is:

[0039] in, is the prediction weight coefficient feature vector The The prediction weight coefficient.

[0040] Optionally, before sending the power monitoring data to the industrial switch, the method further includes: The power data monitoring node generates an updated power monitoring data sequence according to the power monitoring data sequence and the power measured data, and determines that the number of power monitoring data in the updated power monitoring data sequence exceeds a first preset data threshold; and / or, The power data monitoring node determines that a difference between the power prediction data and the power measured data exceeds a second preset data threshold.

[0041] Optionally, the power data monitoring node determines that a difference between the power prediction data and the power measured data exceeds a second preset data threshold, including: The power data monitoring node uses formula 4 to determine the power prediction data The actual power measurement data The first difference between , the formula 4 is:

[0042] The power data monitoring node determines the first difference is greater than the second preset data threshold; and / or, The power data monitoring node obtains the power forecast data sequence of the monitoring target at and before the second time node ; The power data monitoring node uses formula 5 and predicts the power data sequence according to , the power monitoring data sequence And the measured power data Determine the second difference , the formula 5 is:

[0043] The power data monitoring node determines the second difference Greater than the second preset data threshold.

[0044] Optionally, the industrial switch determines the transmission priority corresponding to the power monitoring data according to the power forecast data and the power measured data, including: If the industrial switch determines the first difference is greater than a third preset data threshold, it is determined that the transmission priority corresponding to the power monitoring data is the first transmission priority, and the third preset data threshold is greater than the second preset data threshold; If the industrial switch determines the first difference is smaller than the third preset data threshold and larger than the second preset data threshold, the second difference is greater than the second preset data threshold, determining that the transmission priority corresponding to the power monitoring data is the second transmission priority, and the first transmission priority is higher than the second transmission priority; If the industrial switch determines the first difference is smaller than the third preset data threshold and larger than the second preset data threshold, the second difference If the value is less than or equal to the second preset data threshold, it is determined that the transmission priority corresponding to the power monitoring data is the third transmission priority, and the second transmission priority is higher than the third transmission priority.

[0045] Optionally, the transmission priority is used to determine the communication bandwidth between the industrial switch and the power data management platform, including: The industrial switch obtains the current sequence of data to be transmitted , wherein the data sequence to be transmitted The Data to be transmitted The power monitoring data; The industrial switch uses formula 6 and according to the sequence of data to be transmitted The transmission priority corresponding to the power monitoring data determines the communication bandwidth between the industrial switch and the power data management platform for transmitting the power monitoring data. , the formula 6 is:

[0046] in, The transmission priority corresponding to the power monitoring data is The corresponding preset minimum bandwidth, is the current total bandwidth, The data sequence to be transmitted The Data to be transmitted The corresponding data size.

[0047] Optionally, if it is determined that the amount of power monitoring data in the updated power monitoring data sequence exceeds the first preset data threshold, the industrial switch determines the transmission priority corresponding to the power monitoring data according to the power forecast data and the power measured data, including: The industrial switch determines the lowest transmission priority of the transmission priorities corresponding to the power monitoring data according to the power prediction data and the power measured data.

[0048] In a third aspect, the present application provides an electronic device, including: processor; and, A memory, configured to store executable instructions of the processor; The processor is configured to perform any possible method described in the first aspect by executing the executable instructions.

[0049] In a fourth aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed by a processor, they are used to implement any possible method described in the first aspect.

[0050] The power data management method and system based on the industrial switch provided in the present application obtains a power monitoring data sequence at a first time node, obtains actual power data at a second time node, and uses a preset power monitoring data prediction model and combines historical data for prediction to determine the power prediction data at the second time node, and then sends the above-mentioned monitoring and prediction related data as power monitoring data to the industrial switch, so that the industrial switch determines the transmission priority corresponding to the power monitoring data, thereby reasonably allocating communication bandwidth resources, ensuring the timely transmission of important data, avoiding network congestion, and helping to better manage power grid monitoring data. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0052] Figure 1 This is a flow chart of a power data management method based on an industrial switch according to an example embodiment of the present application; Figure 2 is a flowchart of a power data management method based on an industrial switch according to another exemplary embodiment of the present application; Figure 3 is a schematic diagram of a power data management system according to an exemplary embodiment of the present application; Figure 4 It is a schematic diagram of the structure of an electronic device according to an exemplary embodiment of the present application.

[0053] The above drawings have shown clear embodiments of the present application, which will be described in more detail later. These drawings and text descriptions are not intended to limit the scope of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0054] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0055] In order to solve the above problems, this application provides a power data management method and system based on industrial switches, aiming to solve the problems of data prediction accuracy and data transmission efficiency in power data management. By adopting advanced data prediction models and intelligent transmission priority mechanisms, the present invention can improve the overall performance of the power data management system. To achieve the above objectives, this application adopts the following technical solutions: Power data monitoring node: The power data monitoring node is responsible for collecting real-time monitoring data of the power system and predicting future power data using the preset power monitoring data prediction model. The prediction model determines the prediction order eigenvalue, eigenmatrix and eigenvector, as well as the prediction weight coefficient eigenvector and other parameters through a specific formula.

[0056] Comparison of power forecast and measured data: After obtaining the measured power data, the power data monitoring node will compare it with the power forecast data. The first difference and the second difference are determined by a specific formula and compared with the preset data threshold to determine the accuracy of the power forecast data.

[0057] Transmission priority determination: The industrial switch determines the transmission priority of power monitoring data based on the difference between power forecast data and measured data. The difference in transmission priority determines the bandwidth allocation for data transmission, thereby optimizing the efficiency of data transmission.

[0058] Communication bandwidth allocation: Based on the transmission priority of power monitoring data, the industrial switch uses a specific formula to determine the communication bandwidth to ensure the timely transmission of critical data.

[0059] The power data management method based on an industrial switch provided in this embodiment can be applied to a power data management system. The power data management system includes a power data management platform, an industrial switch, and a power data monitoring node set, wherein each power data monitoring node in the power data monitoring node set is respectively connected to the industrial switch for communication, and the industrial switch is connected to the power data management platform for communication.

[0060] Specifically, the power data management platform is the central control unit of the entire system, responsible for receiving, processing and analyzing data from power data monitoring nodes and providing decision support services. The power data management platform may include: Data receiving module: responsible for receiving data from the industrial switch.

[0061] Data processing module: responsible for cleaning, analyzing and processing the received data.

[0062] Decision support module: Provides decision support based on processed data, such as predicting power load, optimizing power dispatch, etc.

[0063] User interface module: Provides a graphical user interface for operators to view power system status, monitoring data and decision support information.

[0064] In addition, the technical specifications of the above-mentioned power data management platform may include: Hardware configuration: server cluster with high-speed CPU, large-capacity memory and high-performance disk storage.

[0065] Operating system: Customized Linux-based operating system that supports multi-threading and multi-tasking.

[0066] Database system: Use relational database management system and NoSQL database to support large-scale data storage and fast query.

[0067] Industrial switches are the core communication devices in the power data management system, responsible for connecting the power data monitoring nodes and the power data management platform. Industrial switches can include: Data forwarding module: forwards data packets according to their source and destination addresses.

[0068] Traffic control module: dynamically adjusts the communication bandwidth according to the transmission priority of power monitoring data.

[0069] Network management module: provides network monitoring and fault diagnosis functions and supports remote maintenance.

[0070] In addition, the technical specifications of the above industrial switches may include: Hardware configuration: Industrial-grade switch with multi-port configuration, supporting Gigabit Ethernet interface.

[0071] Network protocols: Support common network protocols such as TCP / IP, UDP, and communication protocols specific to the power industry.

[0072] Quality of Service: Supports priority-based data transmission to ensure timely transmission of critical data.

[0073] The power data monitoring node set is distributed in various key locations of the power system to collect power data and send it to industrial switches. The power data monitoring node set may include: Data acquisition module: equipped with sensors and measuring devices to collect power data such as voltage, current, and power.

[0074] Data processing module: Built-in microcontroller, used to process the collected data, such as preliminary data cleaning and format conversion.

[0075] Communication module: supports wireless or wired communication and establishes communication connection with industrial switches.

[0076] In addition, the technical specifications of the above-mentioned power data monitoring node set may include: Hardware configuration: Embedded device with low-power microcontroller, analog / digital converter, wireless communication module, etc.

[0077] Software configuration: runs an embedded operating system and supports real-time data acquisition and processing.

[0078] Communication method: Supports multiple wireless communication protocols such as Wi-Fi, Zigbee, LoRa, and wired communication methods such as RS-485.

[0079] The data collection and transmission process of the above-mentioned power data management system can be specifically described as follows: Data collection: The power data monitoring node collects power monitoring data at the first time node.

[0080] Data processing: The node determines the power forecast data based on the historical data sequence and collects the power measured data at the second time node.

[0081] Data transmission: The node packages the power monitoring data sequence, power forecast data and power measured data into power monitoring data and sends it to the industrial switch.

[0082] Data forwarding: The industrial switch determines the communication bandwidth based on the transmission priority of the power monitoring data and forwards the data to the power data management platform.

[0083] The data processing and decision support process of the above-mentioned power data management system can be specifically described as follows: Data reception: The power data management platform receives power monitoring data from industrial switches.

[0084] Data analysis: The platform’s data processing module cleans, analyzes and processes the data.

[0085] Decision support: Based on the processed data, the decision support module generates decision recommendations, such as adjusting the power dispatch plan or optimizing the configuration of power resources.

[0086] User interface presentation: Decision suggestions are presented to the operator through the user interface for further action or confirmation.

[0087] As for the application scenario of the method provided in the embodiment of the present application, it can be assumed that a power company needs to monitor the power data of a substation, including voltage, current, power and other information entering and leaving the substation. Power data monitoring nodes are deployed in key locations of substations, including near transformers, circuit breakers and other equipment. The power data management platform is located in the company's data center and is connected to the industrial switch via optical fiber. The industrial switch is located inside the substation and connects all power data monitoring nodes.

[0088] Install power data monitoring nodes, including sensors and data acquisition devices, at key locations in the substation. Set the network parameters of the industrial switch, including IP address, subnet mask, default gateway, etc. Build a power data management platform in the data center and configure the server cluster, database system, and user interface. Connect the industrial switch and the power data management platform through optical fiber to ensure high-speed data transmission. Test the data transmission between the power data monitoring node, industrial switch, and power data management platform to ensure the normal operation of the system. The power data monitoring node continuously collects data, the industrial switch forwards it according to the data transmission priority, the power data management platform receives the data, processes and analyzes it, and finally displays the results through the user interface.

[0089] Figure 1 FIG. 1 is a flow chart of a power data management method based on an industrial switch according to an exemplary embodiment of the present application. Figure 1 As shown, the method provided in this embodiment includes: S101. At a first time node, a power data monitoring node among power data monitoring nodes obtains a power monitoring data sequence of a monitoring target.

[0090] At a first time node, a power data monitoring node in the power data monitoring node obtains a power monitoring data sequence of a monitoring target, the power monitoring data sequence including first power monitoring data obtained at the first time node and power monitoring data obtained at at least one time node before the first time node.

[0091] Specifically, power data monitoring nodes are usually deployed at the edge of the network to collect real-time data of the power system. The first power monitoring data refers to the data collected at the first time node, while the previous power monitoring data refers to the data collected at several time nodes before the first time node. These data usually include factors such as voltage, current, and power, which are used to describe the operating status of the power system.

[0092] S102: The power data monitoring node uses a preset power monitoring data prediction model and determines power prediction data of the monitoring target at a second time node according to the power monitoring data sequence.

[0093] In this step, the power data monitoring node uses a preset power monitoring data prediction model and determines the power prediction data of the monitoring target at a second time node according to the power monitoring data sequence, and the second time node is a time node next to the first time node in the preset monitoring cycle of the power data monitoring node; Specifically, the preset power monitoring data prediction model is usually a model trained based on historical data. It can be a model based on time series analysis, such as an autoregressive model, a moving average model, an autoregressive moving average model, etc. Power prediction data is power data at a certain point in the future predicted based on a historical data sequence, and is used to assist in the operation decision-making of the power system. The second time node refers to the next time node after a fixed time interval after the first time node, and this time interval is usually the monitoring period of the power data monitoring node.

[0094] In a possible implementation, the power data monitoring node uses a preset power monitoring data prediction model and determines the power prediction data of the monitoring target at the second time node according to the power monitoring data sequence, including: The power data monitoring node uses formula 1 and calculates the power monitoring data sequence Determine the prediction order eigenvalue , Formula 1 is:

[0095] The power data monitoring node uses formula 2 and calculates the power monitoring data sequence Determine the first characteristic matrix With the second eigenvector , based on the predicted order eigenvalue , the first characteristic matrix With the second eigenvector Determine the prediction weight coefficient feature vector , Formula 2 is:

[0096] The power data monitoring node uses formula 3 and predicts the order eigenvalue , prediction weight coefficient feature vector And power monitoring data series Determine power forecast data , Formula 3 is:

[0097] in, is the prediction weight coefficient feature vector The The prediction weight coefficient.

[0098] S103. At a second time point, the power data monitoring node obtains actual power data of the monitoring target and sends the power monitoring data to the industrial switch.

[0099] At the second time node, the power data monitoring node obtains the power measured data of the monitoring target and sends the power monitoring data to the industrial switch. The power monitoring data includes a power monitoring data sequence, power prediction data and power measured data.

[0100] Specifically, the power measured data refers to the actual power data collected at the second time node. The power monitoring data is a data packet packaged by the power data monitoring node and sent to the industrial switch, which includes the power monitoring data sequence, power forecast data and power measured data.

[0101] S104. The industrial switch determines the transmission priority corresponding to the power monitoring data according to the power forecast data and the power measured data.

[0102] In this step, the industrial switch determines the transmission priority corresponding to the power monitoring data according to the power forecast data and the power measured data. The transmission priority is used to determine the communication bandwidth between the industrial switch and the power data management platform.

[0103] Specifically, the transmission priority is determined based on the difference between the power forecast data and the power measured data. The greater the difference, the higher the priority is needed to ensure that the data can be transmitted in time. The allocation of communication bandwidth is based on the transmission priority, and data with higher priority will receive more bandwidth resources. Among them, the industrial switch is one of the core components in the power data management system, responsible for data transmission and scheduling.

[0104] In this embodiment, by acquiring a power monitoring data sequence at a first time node, acquiring actual power data at a second time node, and using a preset power monitoring data prediction model and combining historical data for prediction, the power prediction data at the second time node is determined, and then the above-mentioned monitoring and prediction related data are sent to the industrial switch as power monitoring data, so that the industrial switch determines the transmission priority corresponding to the power monitoring data, thereby reasonably allocating communication bandwidth resources, ensuring the timely transmission of important data, avoiding network congestion, and helping to better manage power grid monitoring data.

[0105] Figure 2 FIG. 1 is a flow chart of a power data management method based on an industrial switch according to another exemplary embodiment of the present application. Figure 2 As shown, the method provided in this embodiment includes: S201. At a first time node, a power data monitoring node among power data monitoring nodes obtains a power monitoring data sequence of a monitoring target.

[0106] At a first time node, a power data monitoring node in the power data monitoring node obtains a power monitoring data sequence of a monitoring target, the power monitoring data sequence including first power monitoring data obtained at the first time node and power monitoring data obtained at at least one time node before the first time node.

[0107] Specifically, power data monitoring nodes are usually deployed at the edge of the network to collect real-time data of the power system. The first power monitoring data refers to the data collected at the first time node, while the previous power monitoring data refers to the data collected at several time nodes before the first time node. These data usually include factors such as voltage, current, and power, which are used to describe the operating status of the power system.

[0108] S202: The power data monitoring node uses a preset power monitoring data prediction model and determines power prediction data of the monitoring target at a second time node according to the power monitoring data sequence.

[0109] In this step, the power data monitoring node uses a preset power monitoring data prediction model and determines the power prediction data of the monitoring target at a second time node according to the power monitoring data sequence, and the second time node is a time node next to the first time node in the preset monitoring cycle of the power data monitoring node; Specifically, the preset power monitoring data prediction model is usually a model trained based on historical data. It can be a model based on time series analysis, such as an autoregressive model, a moving average model, an autoregressive moving average model, etc. Power prediction data is power data at a certain point in the future predicted based on a historical data sequence, and is used to assist in the operation decision-making of the power system. The second time node refers to the next time node after a fixed time interval after the first time node, and this time interval is usually the monitoring period of the power data monitoring node.

[0110] In a possible implementation, the power data monitoring node uses a preset power monitoring data prediction model and determines the power prediction data of the monitoring target at the second time node according to the power monitoring data sequence, including: The power data monitoring node uses formula 1 and calculates the power monitoring data sequence Determine the prediction order eigenvalue , Formula 1 is:

[0111] The power data monitoring node uses formula 2 and calculates the power monitoring data sequence Determine the first characteristic matrix With the second eigenvector , based on the predicted order eigenvalue , the first characteristic matrix With the second eigenvector Determine the prediction weight coefficient feature vector , Formula 2 is:

[0112] The power data monitoring node uses formula 3 and predicts the order eigenvalue , prediction weight coefficient feature vector And power monitoring data series Determine power forecast data , Formula 3 is:

[0113] in, is the prediction weight coefficient feature vector The The prediction weight coefficient.

[0114] S203. At a second time point, the power data monitoring node obtains actual power data of the monitoring target.

[0115] At the second time node, the power data monitoring node obtains the power measured data of the monitoring target, and the power monitoring data includes a power monitoring data sequence, power forecast data and power measured data.

[0116] Specifically, the power measured data refers to the actual power data collected at the second time node. The power monitoring data is a data packet packaged by the power data monitoring node and sent to the industrial switch, which includes the power monitoring data sequence, power forecast data and power measured data.

[0117] S204: The power data monitoring node determines whether to send the power monitoring data to the industrial switch according to the power monitoring data sequence and the actual power measurement data.

[0118] In one possible design, before sending power monitoring data to the industrial switch, the power data monitoring node generates an updated power monitoring data sequence based on the power monitoring data sequence and the actual power measured data, and determines that the number of power monitoring data in the updated power monitoring data sequence exceeds a first preset data threshold.

[0119] If it is determined that the amount of power monitoring data in the updated power monitoring data sequence exceeds the first preset data threshold, the industrial switch determines the lowest transmission priority of the transmission priorities corresponding to the power monitoring data according to the power forecast data and the power measured data.

[0120] In another possible design, before sending the power monitoring data to the industrial switch, the power data monitoring node determines that the difference between the power prediction data and the power measured data exceeds a second preset data threshold.

[0121] Specifically, the power data monitoring node determines that the difference between the power prediction data and the power measured data exceeds the second preset data threshold, including: The power data monitoring node uses formula 4 to determine the power forecast data Power measured data The first difference between , Formula 4 is:

[0122] The power data monitoring node determines the first difference is greater than a second preset data threshold; and / or, The power data monitoring node obtains the power forecast data sequence of the monitoring target at the second time node and before ; The power data monitoring node uses formula 5 and predicts the power data sequence , Power monitoring data series And the measured power data Determine the second difference , Formula 5 is:

[0123] The power data monitoring node determines the second difference Greater than a second preset data threshold.

[0124] S205. The industrial switch determines the transmission priority corresponding to the power monitoring data according to the power forecast data and the power measured data.

[0125] In this step, the industrial switch determines the transmission priority corresponding to the power monitoring data according to the power forecast data and the power measured data. The transmission priority is used to determine the communication bandwidth between the industrial switch and the power data management platform.

[0126] Specifically, if the industrial switch determines the first difference is greater than a third preset data threshold, it is determined that the transmission priority corresponding to the power monitoring data is the first transmission priority, and the third preset data threshold is greater than the second preset data threshold; If the industrial switch determines the first difference is less than the third preset data threshold and greater than the second preset data threshold, the second difference is greater than a second preset data threshold, it is determined that the transmission priority corresponding to the power monitoring data is the second transmission priority, and the first transmission priority is higher than the second transmission priority; If the industrial switch determines the first difference is less than the third preset data threshold and greater than the second preset data threshold, the second difference If the value is less than or equal to the second preset data threshold, it is determined that the transmission priority corresponding to the power monitoring data is the third transmission priority, and the second transmission priority is higher than the third transmission priority.

[0127] The transmission priority is used to determine the communication bandwidth between the industrial switch and the power data management platform, which can include: The industrial switch obtains the current sequence of data to be transmitted , where the data sequence to be transmitted is The Data to be transmitted To monitor data for electricity; Industrial switches use Formula 6 and calculate the sequence of data to be transmitted. The transmission priority corresponding to the power monitoring data determines the communication bandwidth between the industrial switch and the power data management platform for transmitting power monitoring data. , Formula 6 is:

[0128] in, The transmission priority corresponding to the power monitoring data is The corresponding preset minimum bandwidth, is the current total bandwidth, The data sequence to be transmitted The Data to be transmitted The corresponding data size.

[0129] Figure 3 FIG. 1 is a schematic diagram of a power data management system according to an exemplary embodiment of the present application. Figure 3 As shown, the power data management system 300 provided in this embodiment includes: a power data management platform 310, an industrial switch 320 and a power data monitoring node set 330, each power data monitoring node in the power data monitoring node set 330 is respectively connected to the industrial switch 320 for communication, and the industrial switch 320 is connected to the power data management platform 310 for communication; At a first time node, a power data monitoring node among the power data monitoring nodes acquires a power monitoring data sequence of a monitoring target, wherein the power monitoring data sequence includes first power monitoring data acquired at the first time node and power monitoring data acquired at at least one time node before the first time node; The power data monitoring node uses a preset power monitoring data prediction model and determines the power prediction data of the monitoring target at a second time node according to the power monitoring data sequence, where the second time node is a time node next to the first time node in a preset monitoring cycle of the power data monitoring node; At the second time node, the power data monitoring node obtains the power measured data of the monitoring target, and sends the power monitoring data to the industrial switch 320, where the power monitoring data includes the power monitoring data sequence, the power prediction data, and the power measured data; The industrial switch 320 determines the transmission priority corresponding to the power monitoring data according to the power prediction data and the power measured data, and the transmission priority is used to determine the communication link between the industrial switch 320 and the power data management platform 310.

[0130] Optionally, the power data monitoring node uses a preset power monitoring data prediction model and determines the power prediction data of the monitoring target at the second time node according to the power monitoring data sequence, including: The power data monitoring node uses formula 1 and according to the power monitoring data sequence Determine the prediction order eigenvalue , the formula 1 is:

[0131] The power data monitoring node uses formula 2 and according to the power monitoring data sequence Determine the first characteristic matrix With the second eigenvector , to predict the order eigenvalues ​​according to , the first characteristic matrix With the second eigenvector Determine the prediction weight coefficient feature vector , the formula 2 is:

[0132] The power data monitoring node uses formula 3 and predicts the order characteristic value according to the , the prediction weight coefficient feature vector And the power monitoring data sequence Determining the power forecast data , the formula 3 is:

[0133] in, is the prediction weight coefficient feature vector The The prediction weight coefficient.

[0134] Optionally, before sending the power monitoring data to the industrial switch 320, the method further includes: The power data monitoring node generates an updated power monitoring data sequence according to the power monitoring data sequence and the power measured data, and determines that the number of power monitoring data in the updated power monitoring data sequence exceeds a first preset data threshold; and / or, The power data monitoring node determines that a difference between the power prediction data and the power measured data exceeds a second preset data threshold.

[0135] Optionally, the power data monitoring node determines that a difference between the power prediction data and the power measured data exceeds a second preset data threshold, including: The power data monitoring node uses formula 4 to determine the power prediction data The actual power measurement data The first difference between , the formula 4 is:

[0136] The power data monitoring node determines the first difference is greater than the second preset data threshold; and / or, The power data monitoring node obtains the power forecast data sequence of the monitoring target at and before the second time node ; The power data monitoring node uses formula 5 and predicts the power data sequence according to , the power monitoring data sequence And the measured power data Determine the second difference , the formula 5 is:

[0137] The power data monitoring node determines the second difference Greater than the second preset data threshold.

[0138] Optionally, the industrial switch 320 determines the transmission priority corresponding to the power monitoring data according to the power prediction data and the power measured data, including: If the industrial switch 320 determines the first difference is greater than a third preset data threshold, it is determined that the transmission priority corresponding to the power monitoring data is the first transmission priority, and the third preset data threshold is greater than the second preset data threshold; If the industrial switch 320 determines the first difference is smaller than the third preset data threshold and larger than the second preset data threshold, the second difference is greater than the second preset data threshold, determining that the transmission priority corresponding to the power monitoring data is the second transmission priority, and the first transmission priority is higher than the second transmission priority; If the industrial switch 320 determines the first difference is smaller than the third preset data threshold and larger than the second preset data threshold, the second difference If the second preset data threshold is greater than or equal to the second preset data threshold, it is determined that the transmission priority corresponding to the power monitoring data is the third transmission priority, and the second transmission priority is higher than the third transmission priority.

[0139] Optionally, the transmission priority is used to determine the communication bandwidth between the industrial switch 320 and the power data management platform 310, including: The industrial switch 320 obtains the current sequence of data to be transmitted , wherein the data sequence to be transmitted The Data to be transmitted The power monitoring data; The industrial switch 320 uses formula 6 and according to the sequence of data to be transmitted The transmission priority corresponding to the power monitoring data determines the communication bandwidth between the industrial switch 320 and the power data management platform 310 for transmitting the power monitoring data. , the formula 6 is:

[0140] in, The transmission priority corresponding to the power monitoring data is The corresponding preset minimum bandwidth, is the current total bandwidth, The data sequence to be transmitted The Data to be transmitted The corresponding data size.

[0141] Optionally, if it is determined that the amount of power monitoring data in the updated power monitoring data sequence exceeds the first preset data threshold, the industrial switch 320 determines the transmission priority corresponding to the power monitoring data according to the power forecast data and the power measured data, including: The industrial switch 320 determines the lowest transmission priority of the transmission priorities corresponding to the power monitoring data according to the power prediction data and the power measured data.

[0142] Figure 4 is a schematic diagram of the structure of an electronic device according to an exemplary embodiment of the present application. Figure 4 As shown, an electronic device 400 provided in this embodiment includes: a processor 401 and a memory 402; in: The memory 402 is used to store computer programs, and the memory may also be a flash memory.

[0143] The processor 401 is used to execute the execution instructions stored in the memory to implement each step in the above method. For details, please refer to the relevant description in the above method embodiment.

[0144] Optionally, the memory 402 may be independent or integrated with the processor 401 .

[0145] When the memory 402 is a device independent of the processor 401, the electronic device 400 may further include: The bus 403 is used to connect the memory 402 and the processor 401 .

[0146] This embodiment further provides a readable storage medium, in which a computer program is stored. When at least one processor of an electronic device executes the computer program, the electronic device executes the methods provided in the above-mentioned various implementation modes.

[0147] This embodiment also provides a program product, which includes a computer program stored in a readable storage medium. At least one processor of the electronic device can read the computer program from the readable storage medium, and at least one processor executes the computer program so that the electronic device implements the methods provided in the above various embodiments.

[0148] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the invention disclosed herein. The present application is intended to cover any modification, use or adaptation of the present application, which follows the general principles of the present application and includes common knowledge or customary techniques in the art that are not disclosed in the present application. The specification and examples are intended to be exemplary only, and the true scope and spirit of the present application are indicated by the claims.

[0149] It should be understood that the present application is not limited to the precise structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

Claims

1. A power data management method based on an industrial switch, characterized in that: Applied to a power data management system, the power data management system includes a power data management platform, an industrial switch and a power data monitoring node set, each power data monitoring node in the power data monitoring node set is respectively connected to the industrial switch for communication, and the industrial switch is connected to the power data management platform for communication, the method includes: At a first time node, a power data monitoring node among the power data monitoring nodes acquires a power monitoring data sequence of a monitoring target, wherein the power monitoring data sequence includes first power monitoring data acquired at the first time node and power monitoring data acquired at at least one time node before the first time node; The power data monitoring node uses a preset power monitoring data prediction model and determines the power prediction data of the monitoring target at a second time node according to the power monitoring data sequence, where the second time node is a time node next to the first time node in a preset monitoring cycle of the power data monitoring node; At the second time node, the power data monitoring node obtains the power measured data of the monitoring target, and sends the power monitoring data to the industrial switch, where the power monitoring data includes the power monitoring data sequence, the power forecast data, and the power measured data; The industrial switch determines the transmission priority corresponding to the power monitoring data according to the power forecast data and the power measured data, and the transmission priority is used to determine the communication bandwidth between the industrial switch and the power data management platform; Before sending the power monitoring data to the industrial switch, the method further includes: The power data monitoring node generates an updated power monitoring data sequence according to the power monitoring data sequence and the power measured data, and determines that the number of power monitoring data in the updated power monitoring data sequence exceeds a first preset data threshold; and / or, The power data monitoring node determines that the difference between the power prediction data and the power measured data exceeds a second preset data threshold; The power data monitoring node determines that the difference between the power prediction data and the power measured data exceeds a second preset data threshold, including: The power data monitoring node determines a first difference between the power forecast data and the power measured data; The power data monitoring node determines that the first difference is greater than the second preset data threshold; and / or, The power data monitoring node obtains the power forecast data sequence of the monitoring target at and before the second time node; The power data monitoring node determines a second difference value according to the power prediction data sequence, the power monitoring data sequence and the power measured data; The power data monitoring node determines that the second difference is greater than the second preset data threshold; The industrial switch determines the transmission priority corresponding to the power monitoring data according to the power forecast data and the power measured data, including: If the industrial switch determines that the first difference is greater than a third preset data threshold, it determines that the transmission priority corresponding to the power monitoring data is the first transmission priority, and the third preset data threshold is greater than the second preset data threshold; If the industrial switch determines that the first difference is less than the third preset data threshold and greater than the second preset data threshold, and the second difference is greater than the second preset data threshold, it is determined that the transmission priority corresponding to the power monitoring data is the second transmission priority, and the first transmission priority is higher than the second transmission priority; If the industrial switch determines that the first difference is less than the third preset data threshold and greater than the second preset data threshold, and the second difference is less than or equal to the second preset data threshold, then it is determined that the transmission priority corresponding to the power monitoring data is the third transmission priority, and the second transmission priority is higher than the third transmission priority.

2. The power data management method based on an industrial switch according to claim 1 is characterized in that: The power data monitoring node uses a preset power monitoring data prediction model and determines the power prediction data of the monitoring target at a second time node according to the power monitoring data sequence, including: The power data monitoring node determines a prediction order characteristic value according to the power monitoring data sequence; The power data monitoring node determines a first characteristic matrix and a second characteristic vector according to the power monitoring data sequence, so as to determine a prediction weight coefficient characteristic vector according to the prediction order characteristic value, the first characteristic matrix X and the second characteristic vector; The power data monitoring node determines the power prediction data according to the prediction order characteristic value, the prediction weight coefficient characteristic vector and the power monitoring data sequence.

3. The power data management method based on an industrial switch according to claim 1 is characterized in that: The transmission priority is used to determine the communication bandwidth between the industrial switch and the power data management platform, including: The industrial switch obtains a current sequence of data to be transmitted; The industrial switch determines a communication bandwidth between the industrial switch and the power data management platform for transmitting the power monitoring data according to the sequence of data to be transmitted and the transmission priority corresponding to the power monitoring data.

4. The power data management method based on an industrial switch according to claim 1 is characterized in that: If it is determined that the amount of power monitoring data in the updated power monitoring data sequence exceeds the first preset data threshold, the industrial switch determines the transmission priority corresponding to the power monitoring data according to the power forecast data and the power measured data, including: The industrial switch determines the lowest transmission priority of the transmission priorities corresponding to the power monitoring data according to the power prediction data and the power measured data.

5. A power data management system, characterized in that: include: A power data management platform, an industrial switch and a power data monitoring node set, wherein each power data monitoring node in the power data monitoring node set is respectively connected to the industrial switch for communication, and the industrial switch is connected to the power data management platform for communication; At a first time node, a power data monitoring node among the power data monitoring nodes acquires a power monitoring data sequence of a monitoring target, wherein the power monitoring data sequence includes first power monitoring data acquired at the first time node and power monitoring data acquired at at least one time node before the first time node; The power data monitoring node uses a preset power monitoring data prediction model and determines the power prediction data of the monitoring target at a second time node according to the power monitoring data sequence, where the second time node is a time node next to the first time node in a preset monitoring cycle of the power data monitoring node; At the second time node, the power data monitoring node obtains the power measured data of the monitoring target, and sends the power monitoring data to the industrial switch, where the power monitoring data includes the power monitoring data sequence, the power forecast data, and the power measured data; The industrial switch determines the transmission priority corresponding to the power monitoring data according to the power forecast data and the power measured data, and the transmission priority is used to determine the communication link between the industrial switch and the power data management platform; Before sending the power monitoring data to the industrial switch, the method further includes: The power data monitoring node generates an updated power monitoring data sequence according to the power monitoring data sequence and the actual power measured data, and determines that the amount of power monitoring data in the updated power monitoring data sequence exceeds a first preset data threshold; and / or, The power data monitoring node determines that the difference between the power prediction data and the power measured data exceeds a second preset data threshold; The power data monitoring node determines that the difference between the power prediction data and the power measured data exceeds a second preset data threshold, including: The power data monitoring node determines a first difference between the power forecast data and the power measured data; The power data monitoring node determines that the first difference is greater than the second preset data threshold; and / or, The power data monitoring node obtains the power forecast data sequence of the monitoring target at and before the second time node; The power data monitoring node determines a second difference value according to the power prediction data sequence, the power monitoring data sequence and the power measured data; The power data monitoring node determines that the second difference is greater than the second preset data threshold; The industrial switch determines the transmission priority corresponding to the power monitoring data according to the power forecast data and the power measured data, including: If the industrial switch determines that the first difference is greater than a third preset data threshold, it determines that the transmission priority corresponding to the power monitoring data is the first transmission priority, and the third preset data threshold is greater than the second preset data threshold; If the industrial switch determines that the first difference is less than the third preset data threshold and greater than the second preset data threshold, and the second difference is greater than the second preset data threshold, it is determined that the transmission priority corresponding to the power monitoring data is the second transmission priority, and the first transmission priority is higher than the second transmission priority; If the industrial switch determines that the first difference is less than the third preset data threshold and greater than the second preset data threshold, and the second difference is less than or equal to the second preset data threshold, then it is determined that the transmission priority corresponding to the power monitoring data is the third transmission priority, and the second transmission priority is higher than the third transmission priority.

6. An electronic device, characterized in that: include: processor; as well as, A memory, configured to store executable instructions of the processor; The processor is configured to perform the method of any one of claims 1 to 4 by executing the executable instructions.

7. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 4 when executed by a processor.

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