Intelligent management and control method and device for electric power communication equipment based on intelligent electric power application

Abstract

The invention relates to the technical field of power dispatching, and discloses an intelligent power communication equipment management and control method and device based on intelligent power application, and the method comprises the steps: monitoring the state of to-be-managed and controlled power communication equipment and related power communication data based on the 5G Internet of Things technology; determining a management requirement category corresponding to the power communication equipment according to the state of the power communication equipment; based on a big data analysis and processing technology, analyzing the related electric power communication data according to the management requirement category to obtain a data analysis result; based on cloud computing and an AI algorithm, according to the management demand category and the data analysis result, performing prediction analysis on related power communication data of the power communication equipment to obtain a prediction analysis result; and executing control operation on the electric power communication equipment according to the prediction analysis result. Visibly, the data processing accuracy of the electric power communication equipment can be improved by implementing the method and the system, so that the accurate management and control of the electric power communication equipment are realized, and the fine management and control requirements of the electric power communication equipment are favorably met.

Description

Technical Field

[0001] The present invention relates to the technical field of power dispatching, and particularly to an intelligent control method and device for power communication equipment based on intelligent power applications. Background Art

[0002] With the rapid development of global energy transformation and new-generation information technology, the power industry is facing unprecedented pressure and opportunities for change.

[0003] However, it is found in practice that the adjustment of the energy structure will promote the development of the power system towards clean, low-carbon, and renewable directions, and the large-scale access of distributed energy and microgrids significantly increases the complexity of the power system, posing more refined requirements for the dispatching and management measures of power communication equipment used to realize the external communication of power equipment in the power system. It can be seen that it is particularly important to propose a new control scheme for power communication equipment to achieve precise control of power communication equipment. Summary of the Invention

[0004] The present invention provides an intelligent control method and device for power communication equipment based on intelligent power applications, which can achieve precise control of power communication equipment, thus being beneficial to meeting the refined control requirements of power communication equipment.

[0005] To solve the above technical problems, in a first aspect of the present invention, an intelligent control method for power communication equipment based on intelligent power applications is disclosed, and the method includes:

[0006] Based on 5G Internet of Things technology, monitor the status of the power communication equipment to be controlled and the relevant power communication data of the power communication equipment, where the relevant power communication data includes one or more combinations of Internet of Things SIM card data, Internet of Things device list data, and device operation time;

[0007] According to the status of the power communication equipment, determine the management requirement category corresponding to the power communication equipment;

[0008] Based on big data analysis and processing technology, analyze the relevant power communication data according to the management requirement category to obtain an analysis result of the relevant power communication data, where the analysis result is used to represent the statistical data and correlation relationship of the relevant power communication data;

[0009] Based on cloud computing and AI algorithms, perform predictive analysis on the relevant power communication data of the power communication equipment according to the management requirement category and the analysis result to obtain a predictive analysis result of the power communication equipment, where the predictive analysis result is used to represent the predicted operation condition of the power communication equipment and is also used to represent the predicted scheduling strategy for the predicted operation condition;

[0010] According to the predicted analysis result, corresponding control operations are performed on the power communication device, and the control operations include power resource configuration operations and / or power communication device maintenance operations.

[0011] As an alternative implementation manner, in the first aspect of the present invention, the monitoring of the status of the power communication device to be controlled and the relevant power communication data of the power communication device based on the 5G Internet of Things technology includes:

[0012] Based on the 5G Internet of Things technology, an Internet of Things management system for full-process control of information for one or more initial power communication devices is constructed;

[0013] Based on the Internet of Things management system, the status of the power communication device to be controlled among all the initial power communication devices is monitored; and according to the status of the power communication device, the grid routing monitoring algorithm of the power dispatching network management system to which the power communication device belongs is optimized to obtain an optimized grid routing monitoring algorithm;

[0014] Based on the optimized grid routing monitoring algorithm, real-time power communication data of one or more grid key nodes of the power dispatching network management system to which the power communication device belongs is collected as the relevant power communication data of the power communication device.

[0015] As an alternative implementation manner, in the first aspect of the present invention, the big data analysis and processing technology includes technologies for big data filtering, cleaning, and analysis;

[0016] And, based on the big data analysis and processing technology, according to the management requirement category, the relevant power communication data is analyzed to obtain the data analysis result of the relevant power communication data, including:

[0017] Based on a preset data filtering condition, the relevant power communication data is filtered to obtain the target power communication data of the power communication device;

[0018] According to a preset data cleaning method, the target power communication data is cleaned to obtain the cleaned target power communication data, and the data cleaning conditions include one or more combinations of a method for processing missing values, an outlier detection method, a data standardization and normalization method, and a format conversion method;

[0019] For the sub-power communication data corresponding to one or more power types included in the cleaned target power communication data, statistical analysis is performed on the sub-power communication data corresponding to each power type to obtain the power statistical data of each power type;

[0020] Perform a correlation analysis on the sub - power communication data corresponding to all the power types based on the sub - power communication data corresponding to all the power types, and obtain the power communication data correlation relationship between each of the power types;

[0021] Determine the target power communication data of the power communication device after cleaning, the power statistical data of all the power types, and the power communication data correlation relationship between all the power types as the data analysis result of the relevant power communication data.

[0022] As an optional implementation manner, in the first aspect of the present invention, the data filtering conditions include the filtering conditions corresponding to the normal working range of the power communication device and / or the filtering conditions corresponding to the power communication data characteristics required by the power communication device;

[0023] And, filtering the relevant power communication data based on the preset data filtering conditions to obtain the target power communication data of the power communication device, including:

[0024] Filter the relevant power communication data according to the normal working range of the power communication device to obtain the first standby power communication data;

[0025] Determine the power communication data characteristics required by the power communication device according to the management requirement category, and filter the relevant power communication data according to the power communication data characteristics to obtain the second standby power communication data;

[0026] Integrate the first standby power communication data and the second standby power communication data to obtain the target power communication data of the power communication device.

[0027] As an optional implementation manner, in the first aspect of the present invention, the management requirement category includes the operation situation analysis requirement category and / or the scheduling strategy generation requirement category;

[0028] And, based on cloud computing and AI algorithms, perform a predictive analysis on the relevant power communication data of the power communication device according to the management requirement category and the data analysis result to obtain the predictive analysis result of the power communication device, including:

[0029] Obtain the historical power communication data of the power communication device and the corresponding historical analysis results of the historical power communication data, where the historical analysis results include historical load conditions and historical fault judgment results;

[0030] Based on cloud computing and AI algorithms, analyze the operation situation of the power communication equipment according to the demand category of operation situation analysis, the historical power communication data, the historical analysis results, and the data analysis results, to obtain the predicted operation situation of the power communication equipment, where the predicted operation situation includes a load prediction result and / or a fault judgment result;

[0031] Generate the demand category and the predicted operation situation according to the scheduling strategy, and predict the scheduling strategy required for the power communication equipment as the predicted scheduling strategy of the power communication equipment;

[0032] Determine the predicted operation situation and the predicted scheduling strategy as the predicted analysis result of the power communication equipment.

[0033] As an optional implementation manner, in the first aspect of the present invention, the demand category of operation situation analysis includes a load prediction demand category and / or a fault judgment demand category;

[0034] Moreover, the step of analyzing the operation situation of the power communication equipment based on cloud computing and AI algorithms according to the demand category of operation situation analysis, the historical power communication data, the historical analysis results, and the data analysis results to obtain the predicted operation situation of the power communication equipment includes:

[0035] Based on cloud computing and AI algorithms, according to the load prediction demand category, calculate the change trend of the power communication data of the power communication equipment according to the historical power communication data and the cleaned target power communication data, and predict the load situation for the relevant power communication data according to the change trend of the power communication data and the historical load situation, to obtain the load prediction result of the power communication equipment;

[0036] Construct a fault classification prediction model according to the fault judgment demand category, the historical power communication data, and the historical fault judgment results; and input the cleaned target power communication data into the fault classification prediction model for analysis to obtain the fault judgment result of the power communication equipment.

[0037] As an optional implementation manner, in the first aspect of the present invention, the step of performing corresponding control operations on the power communication equipment according to the predicted analysis result includes:

[0038] Generate the operation control parameters of the power dispatching network management system to which the power communication device belongs according to the predicted scheduling strategy included in the predicted analysis result, where the operation control parameters include resource configuration control parameters and / or device maintenance control parameters; and control the power dispatching network management system to perform corresponding management and control operations on the power communication device according to the operation control parameters; or,

[0039] Generate the management and control process prompt information corresponding to the power dispatching network management system according to the predicted scheduling strategy included in the predicted analysis result, and send the management and control process prompt information to the corresponding operator of the power dispatching network management system to prompt the operator to perform corresponding management and control operations on the power communication device according to the content included in the management and control process prompt information.

[0040] The second aspect of the present invention discloses an intelligent management and control device for power communication devices based on smart power applications, and the device includes:

[0041] A monitoring module, configured to monitor the status of the power communication device to be managed and controlled and the relevant power communication data of the power communication device based on 5G Internet of Things technology, where the relevant power communication data includes one or more combinations of Internet of Things SIM card data, Internet of Things device list data, and device running time;

[0042] A determination module, configured to determine the management requirement category corresponding to the power communication device according to the status of the power communication device;

[0043] An analysis module, configured to analyze the relevant power communication data based on big data analysis and processing technology according to the management requirement category to obtain the data analysis result of the relevant power communication data, where the data analysis result is used to represent the statistical data and correlation relationship of the relevant power communication data;

[0044] A prediction module, configured to perform a predictive analysis on the relevant power communication data of the power communication device based on cloud computing and AI algorithms according to the management requirement category and the data analysis result to obtain the predictive analysis result of the power communication device, where the predictive analysis result is used to represent the predicted operation condition of the power communication device and is also used to represent the predicted scheduling strategy of the predicted operation condition;

[0045] A management and control module, configured to perform corresponding management and control operations on the power communication device according to the predicted analysis result, where the management and control operations include power resource configuration operations and / or power communication device maintenance operations.

[0046] As an alternative implementation, in the second aspect of the present invention, the manner in which the monitoring module monitors the status of the power communication devices to be controlled and the relevant power communication data of the power communication devices based on 5G Internet of Things technology specifically includes:

[0047] Based on 5G Internet of Things technology, construct an Internet of Things management system for full-process control of information for one or more initial power communication devices;

[0048] Based on the Internet of Things management system, monitor the status of the power communication devices to be controlled among all the initial power communication devices; and optimize the grid routing monitoring algorithm of the power dispatching network management system to which the power communication devices belong according to the status of the power communication devices, to obtain an optimized grid routing monitoring algorithm;

[0049] Based on the optimized grid routing monitoring algorithm, collect real-time power communication data of one or more grid key nodes of the power dispatching network management system to which the power communication devices belong, as the relevant power communication data of the power communication devices.

[0050] As an alternative implementation, in the second aspect of the present invention, the big data analysis and processing technology includes technologies for big data filtering, cleaning, and analysis;

[0051] Moreover, the manner in which the analysis module analyzes the relevant power communication data according to the management requirement category based on big data analysis and processing technology to obtain the data analysis result of the relevant power communication data specifically includes:

[0052] Based on preset data filtering conditions, filter the relevant power communication data to obtain the target power communication data of the power communication devices;

[0053] According to preset data cleaning methods, clean the target power communication data to obtain the cleaned target power communication data, and the data cleaning conditions include one or more combinations of methods for handling missing values, outlier detection methods, data standardization and normalization methods, and format conversion methods;

[0054] For the sub-power communication data corresponding to one or more power types included in the cleaned target power communication data, perform statistical analysis on the sub-power communication data corresponding to each power type to obtain the power statistical data of each power type;

[0055] According to the sub-power communication data corresponding to all the power types, perform correlation analysis on the sub-power communication data corresponding to all the power types to obtain the power communication data correlation relationship between each power type;

[0056] Determine the target power communication data of the power communication device after cleaning, the power statistical data of all the power types, and the power communication data association relationship between all the power types as the data analysis result of the relevant power communication data.

[0057] As an alternative implementation, in the second aspect of the present invention, the data filtering conditions include the filtering conditions corresponding to the normal operating range of the power communication device, and / or the filtering conditions corresponding to the power communication data characteristics required by the power communication device;

[0058] Moreover, the manner in which the analysis module filters the relevant power communication data based on preset data filtering conditions to obtain the target power communication data of the power communication device specifically includes:

[0059] Filter the relevant power communication data according to the normal operating range of the power communication device to obtain the first standby power communication data;

[0060] Determine the power communication data characteristics required by the power communication device according to the management requirement category, and filter the relevant power communication data according to the power communication data characteristics to obtain the second standby power communication data;

[0061] Integrate the first standby power communication data and the second standby power communication data to obtain the target power communication data of the power communication device.

[0062] As an alternative implementation, in the second aspect of the present invention, the management requirement category includes the operation situation analysis requirement category and / or the dispatching strategy generation requirement category;

[0063] Moreover, the manner in which the prediction module performs predictive analysis on the relevant power communication data of the power communication device based on cloud computing and AI algorithms according to the management requirement category and the data analysis result to obtain the predictive analysis result of the power communication device specifically includes:

[0064] Obtain the historical power communication data of the power communication device and the corresponding historical analysis results of the historical power communication data, where the historical analysis results include historical load conditions and historical fault judgment results;

[0065] Based on cloud computing and AI algorithms, perform predictive analysis on the operation situation of the power communication device according to the operation situation analysis requirement category, the historical power communication data, the historical analysis results, and the data analysis result to obtain the predicted operation situation of the power communication device, where the predicted operation situation includes load prediction results and / or fault judgment results;

[0066] Generate the demand category and the predicted operating conditions according to the scheduling strategy, and predict the scheduling strategy required by the power communication device as the predicted scheduling strategy of the power communication device;

[0067] Determine the predicted operating conditions and the predicted scheduling strategy as the predicted analysis result of the power communication device.

[0068] As an alternative implementation, in the second aspect of the present invention, the demand categories for operating condition analysis include load prediction demand categories and / or fault judgment demand categories;

[0069] Moreover, the prediction module, based on cloud computing and AI algorithms, predicts and analyzes the operating conditions of the power communication device according to the demand categories for operating condition analysis, the historical power communication data, the historical analysis results, and the data analysis results, and the specific manner of obtaining the predicted operating conditions of the power communication device includes:

[0070] Based on cloud computing and AI algorithms, according to the load prediction demand category, according to the historical power communication data and the cleaned target power communication data, calculate the change trend of the power communication data of the power communication device, and predict the load condition for the relevant power communication data according to the change trend of the power communication data and the historical load condition, so as to obtain the load prediction result of the power communication device;

[0071] Construct a fault classification prediction model according to the fault judgment demand category, the historical power communication data, and the historical fault judgment results; and input the cleaned target power communication data into the fault classification prediction model for analysis to obtain the fault judgment result of the power communication device.

[0072] As an alternative implementation, in the second aspect of the present invention, the specific manner in which the control module performs corresponding control operations on the power communication device according to the predicted analysis result includes:

[0073] Generate the operation control parameters of the power dispatching network management system to which the power communication device belongs according to the predicted scheduling strategy included in the predicted analysis result, where the operation control parameters include resource configuration control parameters and / or equipment maintenance control parameters; and control the power dispatching network management system to perform corresponding control operations on the power communication device according to the operation control parameters; or,

[0074] Generate the control process prompt information corresponding to the power dispatching network management system according to the predicted scheduling strategy included in the predicted analysis result, and send the control process prompt information to the operator corresponding to the power dispatching network management system to prompt the operator to perform corresponding control operations on the power communication equipment according to the content included in the control process prompt information.

[0075] The third aspect of the present invention discloses another intelligent control device for power communication equipment based on smart power applications. The device includes:

[0076] A memory storing executable program code;

[0077] A processor coupled to the memory;

[0078] The processor calls the executable program code stored in the memory and executes the intelligent control method for power communication equipment based on smart power applications disclosed in the first aspect of the present invention.

[0079] The fourth aspect of the present invention discloses a computer storage medium. The computer storage medium stores computer instructions, which are used to execute the intelligent control method for power communication equipment based on smart power applications disclosed in the first aspect of the present invention when the computer instructions are called.

[0080] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0081] In an embodiment of the present invention, based on 5G Internet of Things technology, the status of power communication devices to be controlled and relevant power communication data of the power communication devices are monitored. The relevant power communication data includes one or more combinations of Internet of Things SIM card data, Internet of Things device list data, and device operation time. According to the status of the power communication devices, the management requirement category corresponding to the power communication devices is determined. Based on big data analysis and processing technology, according to the management requirement category, the relevant power communication data is analyzed to obtain the data analysis result of the relevant power communication data. The data analysis result is used to represent the statistical data and correlation relationship of the relevant power communication data. Based on cloud computing and AI algorithms, according to the management requirement category and the data analysis result, predictive analysis is performed on the relevant power communication data of the power communication devices to obtain the predictive analysis result of the power communication devices. The predictive analysis result is used to represent the predicted operation condition of the power communication devices and is also used to represent the predictive scheduling strategy for the predicted operation condition. According to the predictive analysis result, corresponding control operations are performed on the power communication devices. The control operations include power resource allocation operations and / or power communication device maintenance operations. It can be seen that implementing the present invention can, based on 5G Internet of Things technology, monitor the status of power communication devices to be controlled and the relevant power communication data of the power communication devices, such as one or more combinations of Internet of Things SIM card data, Internet of Things device list data, and device operation time, improve the monitoring accuracy and efficiency of the status of power communication devices and their relevant power communication data based on 5G Internet of Things technology, accurately determine the management requirement category corresponding to the power communication devices according to the status of the power communication devices, then, based on big data analysis and processing technology, accurately analyze the relevant power communication data according to the management requirement category to obtain the data analysis result of the relevant power communication data, and based on cloud computing and AI algorithms, perform precise predictive analysis on the relevant power communication data of the power communication devices according to the management requirement category and the data analysis result to obtain the predictive analysis result of the power communication devices, such as predicted operation condition and predictive scheduling strategy, which is beneficial to improving the data processing accuracy and efficiency of power communication devices based on various data processing technologies. Then, according to the accurately processed predictive analysis result, corresponding control operations are performed on the power communication devices, including power resource allocation operations and / or power communication device maintenance operations, which can achieve precise control of power communication devices, thus being beneficial to meeting the refined control requirements of power communication devices, and being beneficial to realizing precise scheduling, automated operation and maintenance, and efficient management of power resources, greatly improving the operation efficiency and service quality of the power system, and being also beneficial to enhancing the scientificity and accuracy of power dispatching. BRIEF DESCRIPTION OF THE DRAWINGS

[0082] To more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the accompanying drawings required for the description of the embodiments. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can be obtained based on these drawings.

[0083] Figure 1 It is a schematic flowchart of an intelligent management and control method for power communication equipment based on intelligent power applications disclosed in an embodiment of the present invention;

[0084] Figure 2 It is a schematic flowchart of another intelligent management and control method for power communication equipment based on intelligent power applications disclosed in an embodiment of the present invention;

[0085] Figure 3 It is a schematic structural diagram of an intelligent management and control device for power communication equipment based on intelligent power applications disclosed in an embodiment of the present invention;

[0086] Figure 4 It is a schematic structural diagram of another intelligent management and control device for power communication equipment based on intelligent power applications disclosed in an embodiment of the present invention. Detailed implementation manners

[0087] To enable those skilled in the art to better understand the solutions of the present invention, the following clearly and completely describes the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0088] The terms "first", "second", etc. in the specification and claims of the present invention and the above accompanying drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, device, product, or terminal that includes a series of steps or units is not limited to the listed steps or units, but optionally further includes steps or units not listed, or optionally further includes other steps or units inherent to these processes, methods, products, or terminals.

[0089] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with an embodiment can be included in at least one embodiment of the invention. The phrase appears in various places in the specification and does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0090] The present invention discloses a method and device for intelligent management and control of power communication equipment based on smart power applications. It can monitor the status of power communication equipment to be managed and related power communication data of the power communication equipment, such as a combination of one or more of Internet of Things (IoT) SIM card data, IoT device list data, and device operation time, etc., based on 5G IoT technology. It can improve the monitoring accuracy and efficiency of the status of power communication equipment and its related power communication data based on 5G IoT technology, and accurately determine the management requirement category corresponding to the power communication equipment according to the status of the power communication equipment. Subsequently, based on big data analysis and processing technology, relevant power communication data is accurately analyzed according to the management requirement category to obtain the data analysis result of the relevant power communication data, and based on cloud computing and AI algorithms, accurate predictive analysis of the relevant power communication data of the power communication equipment is carried out according to the management requirement category and the data analysis result to obtain the predictive analysis result of the power communication equipment, such as predicted operation conditions and predicted scheduling strategies. This is beneficial to improving the data processing accuracy and efficiency of power communication equipment based on multiple data processing technologies. Then, according to the accurately processed predictive analysis result, corresponding management and control operations are performed on the power communication equipment, including power resource allocation operations and / or power communication equipment maintenance operations, which can achieve precise management and control of the power communication equipment, thus facilitating the satisfaction of the refined management and control requirements of power communication equipment, and being beneficial to realizing precise scheduling, automated operation and maintenance, and efficient management of power resources, greatly improving the operation efficiency and service quality of the power system, and also being beneficial to enhancing the scientificity and accuracy of power scheduling. The following will be described in detail respectively.

[0091] Embodiment 1

[0092] Please refer to Figure 1 , Figure 1 which is a schematic flowchart of a method for intelligent management and control of power communication equipment based on smart power applications disclosed in an embodiment of the present invention. Among them, Figure 1 the described method for intelligent management and control of power communication equipment based on smart power applications can be applied to an intelligent management and control device for power communication equipment based on smart power applications. Among them, the device can include a management and control device or a management and control server. Among them, the management and control server can include a cloud server or a local server, which is not limited in the embodiments of the present invention. As Figure 1As shown, the intelligent management and control method for power communication equipment based on intelligent power applications may include the following operations:

[0093] 101. Based on 5G Internet of Things technology, monitor the status of the power communication equipment to be managed and the relevant power communication data of the power communication equipment.

[0094] In the embodiments of the present invention, the 5G Internet of Things technology may include technologies such as wireless sensor networks, bearer networks, and core networks, and is used to achieve real-time monitoring and remote control of the status of power communication equipment. Optionally, the power communication equipment may be used to implement communication between power equipment (such as generators, transformers, transmission lines, etc.) in a power system and external equipment. Among them, the external equipment may include protection equipment such as relays (real-time collection and exchange of information are achieved through the power communication equipment, such as fault detection, alarm information, status monitoring, etc., so as to make a quick response), and may also include other systems such as meteorological monitoring systems and load forecasting systems (the power communication equipment provides external environment and / or load change information for these systems to help optimize the operation of the power system), and may also include other external equipment related to the operation of power equipment. Further optionally, the power communication equipment may also be used to implement communication between various power equipment in the power system, which is not limited in the embodiments of the present invention.

[0095] Optionally, the status of the power communication equipment may include one or more combinations of the operating status of the power communication equipment, the temperature status of the power communication equipment, the humidity status of the power communication equipment (the humidity status is the status of the environmental humidity affecting the operation of the equipment), the vibration status of the power communication equipment (the status of the vibration data during the operation of the equipment), and the load status of the power communication equipment (the status 1 that can be used to represent the comparison between the current load of the equipment and the rated load). Among them, the operating status may include one of the normal operating status, the fault status, and the maintenance status. Optionally, the relevant power communication data may include one or more combinations of Internet of Things SIM card data, Internet of Things device list data, and equipment operation time. Further optionally, the relevant power communication data may also include grid frequency data and / or energy consumption data, which is not limited in the embodiments of the present invention.

[0096] 102. Determine the management requirement category corresponding to the power communication equipment according to the status of the power communication equipment.

[0097] In an embodiment of the present invention, optionally, the management requirement category can be used to represent the category of pre-data processing operations corresponding to the management operations currently required for power communication devices, and the management requirement category can include an operation situation analysis requirement category and / or a scheduling strategy generation requirement category. Among them, the operation situation analysis requirement category can include a load forecasting requirement category and / or a fault judgment requirement category. For example, assuming that the management requirement category is the load forecasting requirement category, it means that load forecasting needs to be performed on the power communication device. At this time, the management operation corresponding to the power communication device can be an adjustment operation based on the predicted load situation; assuming that the management requirement category is the fault judgment requirement category, it means that fault judgment needs to be performed on the power communication device. At this time, the management operation corresponding to the power communication device can be a maintenance operation based on the judged fault situation.

[0098] 103. Based on big data analysis and processing technology, analyze the relevant power communication data according to the management requirement category to obtain the data analysis result of the relevant power communication data.

[0099] In an embodiment of the present invention, optionally, big data analysis and processing technology can be used to realize the real-time collection, cleaning, storage, and intelligent analysis of power grid dispatching network data, and big data analysis and processing technology can include technologies for big data filtering, cleaning, and analysis. The data analysis result can be used to represent the statistical data and correlation relationships of the relevant power communication data.

[0100] 104. Based on cloud computing and AI algorithms, perform predictive analysis on the relevant power communication data of the power communication device according to the management requirement category and the data analysis result to obtain the predictive analysis result of the power communication device.

[0101] In an embodiment of the present invention, cloud computing and AI algorithms can support large-scale data operations through a cloud computing platform and use AI algorithms to perform tasks such as load forecasting, fault diagnosis, and optimal scheduling strategy generation. The predictive analysis result is used to represent the predicted operation situation of the power communication device and is also used to represent the predicted scheduling strategy for the predicted operation situation.

[0102] 105. Perform corresponding control operations on the power communication device according to the predictive analysis result.

[0103] In an embodiment of the present invention, the control operations include power resource allocation operations and / or power communication device maintenance operations.

[0104] It can be seen that the implementation Figure 1The described intelligent management and control method for power communication equipment based on intelligent power applications can monitor the status of power communication equipment to be managed and controlled and relevant power communication data of the power communication equipment, such as a combination of one or more of Internet of Things (IoT) SIM card data, IoT device list data, and device operation time, based on 5G IoT technology. It can improve the monitoring accuracy and efficiency of the status of power communication equipment and its relevant power communication data based on 5G IoT technology, accurately determine the category of management requirements corresponding to the power communication equipment according to the status of the power communication equipment, and then, based on big data analysis and processing technology, accurately analyze the relevant power communication data according to the category of management requirements to obtain the data analysis result of the relevant power communication data, and based on cloud computing and AI algorithms, accurately predict and analyze the relevant power communication data of the power communication equipment according to the category of management requirements and the data analysis result to obtain the prediction and analysis result of the power communication equipment, such as predicted operation conditions and predicted dispatching strategies, which is beneficial to improving the data processing accuracy and efficiency of power communication equipment based on multiple data processing technologies. Then, according to the accurately processed prediction and analysis result, corresponding management and control operations are performed on the power communication equipment, including power resource allocation operations and / or power communication equipment maintenance operations, which can achieve precise management and control of the power communication equipment, thus being beneficial to meeting the refined management and control requirements of power communication equipment, and being beneficial to realizing precise dispatching, automated operation and maintenance, and efficient management of power resources, greatly improving the operation efficiency and service quality of the power system, and also being beneficial to enhancing the scientificity and accuracy of power dispatching.

[0105] In an optional embodiment, the step 101 of monitoring the status of power communication equipment to be managed and controlled and relevant power communication data of the power communication equipment based on 5G IoT technology may include:

[0106] Based on 5G IoT technology, construct an IoT management system for full-process management and control of information for one or more initial power communication equipment;

[0107] Based on the IoT management system, monitor the status of the power communication equipment to be managed and controlled among all the initial power communication equipment; and optimize the grid routing monitoring algorithm of the power dispatching network management system to which the power communication equipment belongs according to the status of the power communication equipment to obtain an optimized grid routing monitoring algorithm;

[0108] Based on the optimized grid routing monitoring algorithm, collect real-time power communication data of one or more grid key nodes of the power dispatching network management system to which the power communication equipment belongs as the relevant power communication data of the power communication equipment.

[0109] In an embodiment of the present invention, optionally, the full-process information control includes one or more combinations of information collection, information transmission, information processing, information storage, and information display. Specifically, according to the status of the power communication device, the operation information of the power communication device is analyzed, and the R & D team of the power dispatching network management system optimizes and upgrades the power grid routing monitoring algorithm of the power dispatching network management system for the operation information, so as to achieve accurate monitoring of the relevant power communication data of the power communication data.

[0110] It can be seen that this optional embodiment can build an Internet of Things management system for full-process information control of one or more initial power communication devices based on 5G Internet of Things technology, and based on the Internet of Things management system, monitor the status of the power communication devices to be controlled among all the initial power communication devices, and can accurately monitor the status of the power communication devices through the Internet of Things management system built by 5G Internet of Things technology; then, according to the status of the power communication devices, optimize the power grid routing monitoring algorithm of the power dispatching network management system to which the power communication devices belong, and obtain the optimized power grid routing monitoring algorithm, which can improve the optimization accuracy and reliability of the power grid routing monitoring algorithm used as the acquisition basis for relevant power communication data, and then based on the optimized power grid routing monitoring algorithm, collect the real-time power communication data of one or more power grid key nodes of the power dispatching network management system to which the power communication devices belong as the relevant power communication data of the power communication devices, improving the acquisition accuracy and reliability of the relevant power communication data.

[0111] Embodiment 2

[0112] Please refer to Figure 2 , Figure 2 which is a schematic flowchart of a method for intelligent control of power communication devices based on smart power applications disclosed in an embodiment of the present invention. Among them, Figure 2 The described method for intelligent control of power communication devices based on smart power applications can be applied to a device for intelligent control of power communication devices based on smart power applications. Among them, the device can include a control device or a control server. Among them, the control server can include a cloud server or a local server, which is not limited in the embodiment of the present invention. As Figure 2 shown, the method for intelligent control of power communication devices based on smart power applications can include the following operations:

[0113] 201. Based on 5G Internet of Things technology, monitor the status of the power communication devices to be controlled and the relevant power communication data of the power communication devices.

[0114] 202. According to the status of the power communication devices, determine the management requirement category corresponding to the power communication devices.

[0115] 203. Filter the relevant power communication data based on preset data filtering conditions to obtain the target power communication data of the power communication device.

[0116] In the embodiments of the present invention, optionally, the data filtering conditions may include filtering conditions corresponding to the normal operating range of the power communication device and / or filtering conditions corresponding to the characteristics of the power communication data required by the power communication device. Among them, the normal operating range of the power communication device may include one or more combinations of the normal voltage operating range of the power communication device, the normal current operating range of the power communication device, the normal power operating range of the power communication device, and the operating time type of the power communication device. The embodiments of the present invention do not make limitations.

[0117] 204. Clean the target power communication data according to the preset data cleaning method to obtain the cleaned target power communication data.

[0118] In the embodiments of the present invention, the data cleaning conditions include one or more combinations of the method for processing missing values, the method for detecting outliers, the method for data standardization and normalization, and the method for format conversion.

[0119] 205. For the sub-power communication data corresponding to one or more power types included in the cleaned target power communication data, perform statistical analysis on the sub-power communication data corresponding to each power type to obtain the power statistical data of each power type.

[0120] In other embodiments of the present invention, optionally, each power type may include one of voltage type, current type, power type, and operating time type. Optionally, the power statistical data may include one or more combinations of statistical data such as the mean, variance, and frequency distribution of the relevant power communication data. The embodiments of the present invention do not make limitations.

[0121] 206. Based on the sub-power communication data corresponding to all power types, perform correlation analysis on the sub-power communication data corresponding to all power types to obtain the power communication data correlation relationship between each power type.

[0122] In the embodiments of the present invention, the power communication data correlation relationship between each power type can be used to represent the corresponding relationship of the sub-power communication data between each power type, such as: the corresponding relationship between the Internet of Things device list data and the Internet of Things SIM card data.

[0123] 207. Determine the target power communication data of the cleaned power communication device, the power statistical data of all power types, and the power communication data correlation relationship between all power types as the data analysis result of the relevant power communication data.

[0124] 208. Based on cloud computing and AI algorithms, according to the management requirement categories and data analysis results, perform predictive analysis on the relevant power communication data of power communication equipment to obtain the predictive analysis results of power communication equipment.

[0125] 209. According to the predictive analysis results, perform corresponding control operations on the power communication equipment.

[0126] For other descriptions of steps 201, 202, 208, and 209, please refer to the detailed descriptions of steps 101, 1102, 104, and 105 in Embodiment 1. The embodiments of the present invention will not be elaborated here.

[0127] It can be seen that the implementation Figure 2The described intelligent control method for power communication equipment based on intelligent power applications can monitor the status of the power communication equipment to be controlled and the relevant power communication data of the power communication equipment, such as one or a combination of Internet of Things (IoT) SIM card data, IoT device list data, and device operation time, etc., based on 5G IoT technology. It can improve the monitoring accuracy and efficiency of the status of power communication equipment and its relevant power communication data based on 5G IoT technology, and accurately determine the category of management requirements corresponding to the power communication equipment according to the status of the power communication equipment. Subsequently, based on big data analysis and processing technology, according to the category of management requirements, accurately analyze the relevant power communication data to obtain the data analysis results of the relevant power communication data, and based on cloud computing and AI algorithms, according to the category of management requirements and the data analysis results, conduct precise predictive analysis on the relevant power communication data of the power communication equipment to obtain the predictive analysis results of the power communication equipment, such as predicted operation conditions and predicted scheduling strategies. This is beneficial to improving the data processing accuracy and efficiency of power communication equipment based on multiple data processing technologies. Then, according to the accurately processed predictive analysis results, perform corresponding control operations on the power communication equipment, including power resource allocation operations and / or power communication equipment maintenance operations, which can achieve precise control of the power communication equipment, thus facilitating the meeting of the refined control requirements of power communication equipment, and is conducive to the precise scheduling, automated operation and maintenance, and efficient management of power resources, significantly improving the operation efficiency and service quality of the power system, and also beneficial to enhancing the scientificity and accuracy of power dispatching.In addition, it is also possible to accurately filter relevant power communication data based on preset data filtering conditions to obtain the target power communication data of power communication devices, which is beneficial to improving the accuracy and reliability of the filtered target power communication data. Then, according to the preset data cleaning method, the target power communication data is cleaned to accurately obtain the cleaned target power communication data. Subsequently, for the sub-power communication data corresponding to one or more power types included in the cleaned target power communication data, statistical analysis is performed on the sub-power communication data corresponding to each power type to obtain the power statistical data of each power type, which can improve the accuracy and efficiency of data statistics for power communication devices. Moreover, based on the sub-power communication data corresponding to all power types, correlation analysis is performed on the sub-power communication data corresponding to all power types to obtain the power communication data correlation relationship between each power type, which can improve the accuracy and efficiency of data correlation analysis for power communication devices. Then, the target power communication data of the cleaned power communication devices, the power statistical data of all power types, and the power communication data correlation relationship between all power types are determined as the data analysis results of relevant power communication data, which is beneficial to improving the accuracy and reliability of data analysis for power communication devices based on a series of analyses of power communication device data, and is also beneficial to improving the diversity and richness of the obtained data analysis results, thereby facilitating the precise control of complex power communication devices based on rich data analysis results.

[0128] In an alternative embodiment, the step 203 of filtering relevant power communication data based on preset data filtering conditions to obtain the target power communication data of power communication devices may include:

[0129] Filter relevant power communication data according to the normal working range of power communication devices to obtain the first backup power communication data;

[0130] Determine the power communication data characteristics required by power communication devices according to the management requirement category, and filter relevant power communication data according to the power communication data characteristics to obtain the second backup power communication data;

[0131] Integrate the first backup power communication data and the second backup power communication data to obtain the target power communication data of power communication devices.

[0132] In an embodiment of the present invention, the first standby power communication data and the second standby power communication data are integrated to obtain the target power communication data of the power communication device. The specific method may include: determining the level of data refinement requirements for the power communication device by the operator (uploaded by the operator or the level confirmed by the system for the operator last time); when the level of data refinement requirements is greater than or equal to the preset standard refinement requirements level, fusing the same power communication data in the first standby power communication data and the second standby power communication data as the target power communication data of the power communication device; when the level of data refinement requirements is less than the preset standard refinement requirements level, merging the first standby power communication data and the second standby power communication data as the target power communication data of the power communication device.

[0133] It should be noted that the embodiment of the present invention occurs when the data filtering conditions include both the filtering conditions corresponding to the normal working range of the power communication device and the filtering conditions corresponding to the power communication data characteristics required by the power communication device. Optionally, when the data filtering conditions only include the filtering conditions corresponding to the normal working range of the power communication device, directly determining the first standby power communication data obtained by filtering as the target power communication data of the power communication device; when the data filtering conditions only include the filtering conditions corresponding to the power communication data characteristics required by the power communication device, directly determining the second standby power communication data obtained by filtering as the target power communication data of the power communication device can improve the efficiency and speed of obtaining the target power communication data by filtering.

[0134] It can be seen that this optional embodiment can accurately filter the relevant power communication data according to the normal working range of the power communication device to obtain the first standby power communication data; determine the power communication data characteristics required by the power communication device according to the management requirement category, and accurately filter the relevant power communication data according to the power communication data characteristics to obtain the second standby power communication data; can improve the filtering accuracy, diversity and flexibility of the relevant power communication data, and then integrate the first standby power communication data and the second standby power communication data to obtain the target power communication data of the power communication device, which can improve the accuracy and reliability of obtaining the target power communication data by filtering.

[0135] In another optional embodiment, the above step 208 of performing predictive analysis on the relevant power communication data of the power communication device based on cloud computing and AI algorithms according to the management requirement category and the data analysis result to obtain the predictive analysis result of the power communication device may include:

[0136] Obtaining the historical power communication data of the power communication device and the corresponding historical analysis results of the historical power communication data, where the historical analysis results include historical load conditions and historical fault judgment results;

[0137] Based on cloud computing and AI algorithms, analyze the demand category, historical power communication data, historical analysis results, and data analysis results according to the operating conditions, and perform predictive analysis on the operating conditions of power communication equipment to obtain the predicted operating conditions of the power communication equipment. The predicted operating conditions include load prediction results and / or fault judgment results.

[0138] Generate the demand category and the predicted operating conditions according to the scheduling strategy, and predict the scheduling strategy required for the power communication equipment as the predicted scheduling strategy of the power communication equipment.

[0139] Determine the predicted operating conditions and the predicted scheduling strategy as the predicted analysis results of the power communication equipment.

[0140] In this optional embodiment, as an optional implementation manner, based on cloud computing and AI algorithms, analyze the demand category, historical power communication data, historical analysis results, and data analysis results according to the operating conditions, and perform predictive analysis on the operating conditions of power communication equipment to obtain the predicted operating conditions of the power communication equipment, which may include:

[0141] Based on cloud computing and AI algorithms, according to the load prediction demand category, calculate the change trend of the power communication data of the power communication equipment according to the historical power communication data and the cleaned target power communication data, and predict the load condition for the relevant power communication data according to the change trend of the power communication data and the historical load condition to obtain the load prediction result of the power communication equipment.

[0142] Construct a fault classification prediction model according to the fault judgment demand category, historical power communication data, and historical fault judgment results; and input the cleaned target power communication data into the fault classification prediction model for analysis to obtain the fault judgment result of the power communication equipment.

[0143] In the embodiment of the present invention, specifically, for the fault judgment demand category, perform deep learning on the historical power communication data and the historical fault judgment results to construct a classification prediction model to obtain a fault classification prediction model. Optionally, the fault judgment result may include the result that the power communication equipment has a fault or the result that the power communication equipment has no fault; when the fault judgment result includes the result that the power communication equipment has a fault, the fault judgment result may further include the fault type of the fault that the power communication equipment has. The embodiment of the present invention does not make a limitation.

[0144] It can be seen that this optional embodiment can obtain the historical power communication data of the power communication device and the corresponding historical analysis results of the historical power communication data, including the historical load conditions and the historical fault judgment results; based on cloud computing and AI algorithms, according to the load prediction demand category, based on the historical power communication data and the cleaned target power communication data, accurately calculate the change trend of the power communication data of the power communication device, and according to the change trend of the power communication data and the historical load conditions, predict the load conditions for the relevant power communication data to obtain the load prediction result of the power communication device, which is beneficial to improving the accuracy and reliability of the load prediction of the power communication device; according to the fault judgment demand category, the historical power communication data and the historical fault judgment results, accurately construct a fault classification prediction model; and input the cleaned target power communication data into the fault classification prediction model for analysis to obtain the fault judgment result of the power communication device, which is beneficial to improving the accuracy and reliability of the fault judgment of the power communication device; then generate the demand category and the predicted operation conditions according to the scheduling strategy, predict the scheduling strategy required by the power communication device, and use it as the predicted scheduling strategy of the power communication device, which can improve the prediction accuracy and efficiency of the scheduling strategy of the power communication device based on the accurately predicted operation conditions.

[0145] In another optional embodiment, the corresponding control operation on the power communication device according to the prediction analysis result in step 209 may include:

[0146] Generate the operation control parameters of the power dispatching network management system to which the power communication device belongs according to the predicted scheduling strategy included in the prediction analysis result, where the operation control parameters include resource configuration control parameters and / or equipment maintenance control parameters; and control the power dispatching network management system to perform the corresponding control operation on the power communication device according to the operation control parameters; or,

[0147] Generate the control process prompt information corresponding to the power dispatching network management system according to the predicted scheduling strategy included in the prediction analysis result, and send the control process prompt information to the operator corresponding to the power dispatching network management system to prompt the operator to perform the corresponding control operation on the power communication device according to the content included in the control process prompt information.

[0148] In the embodiment of the present invention, specifically, when manually controlling the control operation of the power communication device by an operator, user authentication of the operator is required, and the user authentication may be voiceprint authentication of the operator.

[0149] It can be seen that the optional embodiment can accurately generate the operation control parameters of the power dispatching network management system to which the power communication device belongs according to the predicted scheduling strategy included in the prediction analysis result; and control the power dispatching network management system to perform corresponding management and control operations on the power communication device according to the operation control parameters, which can improve the control accuracy and intelligence level of the power dispatching network management system, so as to realize the precise management and control of the power communication device by the power dispatching network management system; or, accurately generate the management and control process prompt information corresponding to the power dispatching network management system according to the predicted scheduling strategy included in the prediction analysis result, and send the management and control process prompt information to the corresponding operator of the power dispatching network management system to prompt the operator to perform corresponding management and control operations on the power communication device according to the content included in the management and control process prompt information, and realize the precise management and control of the power communication device by the operator through setting the management and control prompt process for the operator, and can improve the diversity and flexibility of the management and control objects for the power communication device.

[0150] Embodiment III

[0151] Please refer to Figure 3 , Figure 3 which is a schematic structural diagram of an intelligent management and control device for power communication devices based on smart power applications disclosed in an embodiment of the present invention. Among them, Figure 3 the described intelligent management and control device for power communication devices based on smart power applications may include a management and control device or a management and control server, where the management and control server may include a cloud server or a local server, which is not limited in the embodiment of the present invention. As Figure 3 shown, the intelligent management and control device for power communication devices based on smart power applications may include:

[0152] A monitoring module 301, configured to monitor the status of the power communication device to be managed and controlled and the relevant power communication data of the power communication device based on 5G Internet of Things technology, and the relevant power communication data includes one or more combinations of Internet of Things SIM card data, Internet of Things device list data, and device running time.

[0153] A determination module 302, configured to determine the management requirement category corresponding to the power communication device according to the status of the power communication device.

[0154] An analysis module 303, configured to analyze the relevant power communication data based on big data analysis and processing technology according to the management requirement category to obtain the data analysis result of the relevant power communication data, and the data analysis result is used to represent the statistical data and correlation relationship of the relevant power communication data.

[0155] A prediction module 304 is configured to perform predictive analysis on relevant power communication data of power communication devices based on cloud computing and AI algorithms according to management requirement categories and data analysis results, so as to obtain predictive analysis results of the power communication devices. The predictive analysis results are used to represent the predicted operating conditions of the power communication devices and are also used to represent the predictive scheduling strategies for the predicted operating conditions.

[0156] A control module 305 is configured to perform corresponding control operations on the power communication devices according to the predictive analysis results. The control operations include power resource configuration operations and / or power communication device maintenance operations.

[0157] It can be seen that implementing Figure 3 the intelligent control device for power communication devices based on intelligent power applications described above can, based on 5G Internet of Things technology, monitor the status of the power communication devices to be controlled and the relevant power communication data of the power communication devices, such as a combination of one or more of Internet of Things SIM card data, Internet of Things device list data, and device operation time, etc. It can improve the monitoring accuracy and efficiency of the status of power communication devices and their relevant power communication data based on 5G Internet of Things technology, and accurately determine the management requirement categories corresponding to the power communication devices according to the status of the power communication devices. Subsequently, based on big data analysis and processing technology, according to the management requirement categories, accurate analysis is performed on the relevant power communication data to obtain the data analysis results of the relevant power communication data, and based on cloud computing and AI algorithms, according to the management requirement categories and the data analysis results, precise predictive analysis is performed on the relevant power communication data of the power communication devices to obtain the predictive analysis results of the power communication devices, such as predicted operating conditions and predictive scheduling strategies, which is beneficial to improving the data processing accuracy and efficiency of power communication devices based on multiple data processing technologies. Then, according to the accurately processed predictive analysis results, corresponding control operations are performed on the power communication devices, including power resource configuration operations and / or power communication device maintenance operations, which can achieve precise control of the power communication devices, thus being beneficial to meeting the refined control requirements of power communication devices, and being beneficial to realizing precise scheduling, automated operation and maintenance, and efficient management of power resources, greatly improving the operation efficiency and service quality of the power system, and being also beneficial to enhancing the scientificity and accuracy of power scheduling.

[0158] In an optional embodiment, the manner in which the monitoring module 301 monitors the status of the power communication devices to be controlled and the relevant power communication data of the power communication devices based on 5G Internet of Things technology may specifically include:

[0159] Based on 5G Internet of Things technology, construct an Internet of Things management system for full-process control of information for one or more initial power communication devices;

[0160] Based on the Internet of Things management system, monitor the status of the power communication devices to be controlled among all the initial power communication devices; and optimize the grid routing monitoring algorithm of the power dispatching network management system to which the power communication devices belong according to the status of the power communication devices, so as to obtain an optimized grid routing monitoring algorithm.

[0161] Based on the optimized grid routing monitoring algorithm, collect the real-time power communication data of one or more grid key nodes of the power dispatching network management system to which the power communication devices belong as the relevant power communication data of the power communication devices.

[0162] It can be seen that this optional embodiment can build an Internet of Things management system for the full-process control of information for one or more initial power communication devices based on 5G Internet of Things technology, and based on the Internet of Things management system, monitor the status of the power communication devices to be controlled among all the initial power communication devices, and can accurately monitor the status of the power communication devices through the Internet of Things management system built by 5G Internet of Things technology; subsequently, optimize the grid routing monitoring algorithm of the power dispatching network management system to which the power communication devices belong according to the status of the power communication devices, so as to obtain an optimized grid routing monitoring algorithm, which can improve the optimization accuracy and reliability of the grid routing monitoring algorithm used as the basis for collecting relevant power communication data, and then based on the optimized grid routing monitoring algorithm, collect the real-time power communication data of one or more grid key nodes of the power dispatching network management system to which the power communication devices belong as the relevant power communication data of the power communication devices, improving the collection accuracy and reliability of the relevant power communication data.

[0163] In another optional embodiment, the big data analysis and processing technology includes the technology of big data filtering, cleaning and analysis. And the analysis module 303 analyzes the relevant power communication data based on the big data analysis and processing technology according to the management requirement category, and the specific ways to obtain the data analysis result of the relevant power communication data may include:

[0164] Filter the relevant power communication data based on the preset data filtering conditions to obtain the target power communication data of the power communication devices;

[0165] Clean the target power communication data according to the preset data cleaning method to obtain the cleaned target power communication data, and the data cleaning conditions include one or more combinations of the methods for handling missing values, outlier detection methods, data standardization and normalization methods, and format conversion methods;

[0166] For the sub-power communication data corresponding to one or more power types included in the cleaned target power communication data, perform statistical analysis on the sub-power communication data corresponding to each power type to obtain the power statistical data of each power type;

[0167] Based on the sub - power communication data corresponding to all power types, perform a correlation analysis on the sub - power communication data corresponding to all power types to obtain the power communication data correlation relationships between each power type;

[0168] Determine the target power communication data of the power communication device after cleaning, the power statistical data of all power types, and the power communication data correlation relationships between all power types as the data analysis results of the relevant power communication data.

[0169] It can be seen that this optional embodiment can accurately filter the relevant power communication data based on the preset data filtering conditions to obtain the target power communication data of the power communication device, which is beneficial to improving the accuracy and reliability of the filtered target power communication data. And according to the preset data cleaning method, clean the target power communication data to accurately obtain the target power communication data after cleaning. Subsequently, for the sub - power communication data corresponding to one or more power types included in the target power communication data after cleaning, perform statistical analysis on the sub - power communication data corresponding to each power type to obtain the power statistical data of each power type, which can improve the accuracy and efficiency of data statistics for the power communication device. And based on the sub - power communication data corresponding to all power types, perform a correlation analysis on the sub - power communication data corresponding to all power types to obtain the power communication data correlation relationships between each power type, which can improve the accuracy and efficiency of data correlation analysis for the power communication device. Then determine the target power communication data of the power communication device after cleaning, the power statistical data of all power types, and the power communication data correlation relationships between all power types as the data analysis results of the relevant power communication data, which is beneficial to improving the accuracy and reliability of data analysis for the power communication device based on a series of analyses of the power communication device data, and is also beneficial to improving the diversity and richness of the obtained data analysis results, thus being beneficial to further realizing the precise control of complex power communication devices based on rich data analysis results.

[0170] In this optional embodiment, as an optional implementation manner, the data filtering conditions include the filtering conditions corresponding to the normal operating range of the power communication device and / or the filtering conditions corresponding to the power communication data characteristics required by the power communication device. And the specific way for the analysis module 303 to filter the relevant power communication data based on the preset data filtering conditions to obtain the target power communication data of the power communication device can specifically include:

[0171] Filter the relevant power communication data according to the normal operating range of the power communication device to obtain the first standby power communication data;

[0172] Determine the power communication data characteristics required for power communication equipment according to the management requirement categories, and filter the relevant power communication data according to the power communication data characteristics to obtain the second standby power communication data;

[0173] Integrate the first standby power communication data and the second standby power communication data to obtain the target power communication data of the power communication equipment.

[0174] It can be seen that this alternative embodiment can accurately filter the relevant power communication data according to the normal working range of the power communication equipment to obtain the first standby power communication data; and determine the power communication data characteristics required for the power communication equipment according to the management requirement categories, and accurately filter the relevant power communication data according to the power communication data characteristics to obtain the second standby power communication data; it can improve the filtering accuracy, diversity and flexibility of the relevant power communication data, and then integrate the first standby power communication data and the second standby power communication data to obtain the target power communication data of the power communication equipment, which can improve the accuracy and reliability of the filtered target power communication data.

[0175] In this alternative embodiment, as another alternative embodiment, the management requirement categories include operation situation analysis requirement categories and / or dispatching strategy generation requirement categories. And, the prediction module 304 performs predictive analysis on the relevant power communication data of the power communication equipment based on cloud computing and AI algorithms according to the management requirement categories and the data analysis results. The specific ways to obtain the predictive analysis results of the power communication equipment may include:

[0176] Obtain the historical power communication data of the power communication equipment and the corresponding historical analysis results of the historical power communication data. The historical analysis results include historical load conditions and historical fault judgment results;

[0177] Based on cloud computing and AI algorithms, perform predictive analysis on the operation situation of the power communication equipment according to the operation situation analysis requirement categories, historical power communication data, historical analysis results and data analysis results to obtain the predicted operation situation of the power communication equipment. The predicted operation situation includes load prediction results and / or fault judgment results;

[0178] Predict the dispatching strategy required for the power communication equipment according to the dispatching strategy generation requirement categories and the predicted operation situation, as the predicted dispatching strategy of the power communication equipment;

[0179] Determine the predicted operation situation and the predicted dispatching strategy as the predictive analysis results of the power communication equipment.

[0180] In this alternative embodiment, optionally, the operation analysis requirement categories include load prediction requirement categories and / or fault judgment requirement categories. Moreover, the prediction module 304, based on cloud computing and AI algorithms, predicts and analyzes the operation conditions of power communication devices according to the operation analysis requirement categories, historical power communication data, historical analysis results, and data analysis results. The specific ways to obtain the predicted operation conditions of power communication devices may include:

[0181] Based on cloud computing and AI algorithms, according to the load prediction requirement category, historical power communication data, and the cleaned target power communication data, calculate the change trend of the power communication data of the power communication device, and predict the load condition for the relevant power communication data according to the change trend of the power communication data and the historical load condition, so as to obtain the load prediction result of the power communication device;

[0182] According to the fault judgment requirement category, historical power communication data, and historical fault judgment results, construct a fault classification prediction model; and input the cleaned target power communication data into the fault classification prediction model for analysis to obtain the fault judgment result of the power communication device.

[0183] It can be seen that this alternative embodiment can obtain the historical power communication data of the power communication device and the corresponding historical analysis results, including historical load conditions and historical fault judgment results; based on cloud computing and AI algorithms, according to the load prediction requirement category, historical power communication data, and the cleaned target power communication data, accurately calculate the change trend of the power communication data of the power communication device, and predict the load condition for the relevant power communication data according to the change trend of the power communication data and the historical load condition, so as to obtain the load prediction result of the power communication device, which is beneficial to improving the accuracy and reliability of the load prediction of the power communication device; according to the fault judgment requirement category, historical power communication data, and historical fault judgment results, accurately construct a fault classification prediction model; and input the cleaned target power communication data into the fault classification prediction model for analysis to obtain the fault judgment result of the power communication device, which is beneficial to improving the accuracy and reliability of the fault judgment of the power communication device; subsequently, according to the generated demand category and predicted operation condition of the scheduling strategy, predict the scheduling strategy required by the power communication device, and use it as the predicted scheduling strategy of the power communication device, which can improve the prediction accuracy and efficiency of the scheduling strategy of the power communication device based on the accurately predicted operation condition.

[0184] In another alternative embodiment, the specific ways for the management and control module 305 to perform corresponding management and control operations on the power communication device according to the prediction and analysis results include:

[0185] Generate the operation control parameters of the power dispatching network management system to which the power communication device belongs according to the predicted scheduling strategy included in the prediction analysis result. The operation control parameters include resource configuration control parameters and / or device maintenance control parameters; and control the power dispatching network management system to perform corresponding management and control operations on the power communication device according to the operation control parameters; or,

[0186] Generate the management and control process prompt information corresponding to the power dispatching network management system according to the predicted scheduling strategy included in the prediction analysis result, and send the management and control process prompt information to the corresponding operator of the power dispatching network management system to prompt the operator to perform corresponding management and control operations on the power communication device according to the content included in the management and control process prompt information.

[0187] It can be seen that this optional embodiment can accurately generate the operation control parameters of the power dispatching network management system to which the power communication device belongs according to the predicted scheduling strategy included in the prediction analysis result; and control the power dispatching network management system to perform corresponding management and control operations on the power communication device according to the operation control parameters, which can improve the control accuracy and intelligence level of the power dispatching network management system, so as to realize the precise management and control of the power communication device by the power dispatching network management system; or, accurately generate the management and control process prompt information corresponding to the power dispatching network management system according to the predicted scheduling strategy included in the prediction analysis result, and send the management and control process prompt information to the corresponding operator of the power dispatching network management system to prompt the operator to perform corresponding management and control operations on the power communication device according to the content included in the management and control process prompt information, and realize the precise management and control of the power communication device by the operator through setting the management and control prompt process for the operator, and can improve the diversity and flexibility of the management and control objects for the power communication device.

[0188] Embodiment 4

[0189] Please refer to Figure 4 , Figure 4 which is a schematic structural diagram of another intelligent management and control device for power communication devices based on smart power applications disclosed in the embodiments of the present invention. As Figure 4 shown, the intelligent management and control device for power communication devices based on smart power applications may include:

[0190] A memory 401 storing executable program code;

[0191] A processor 402 coupled to the memory 401;

[0192] The processor 402 calls the executable program code stored in the memory 401 and executes the steps in the method for intelligent management and control of power communication devices based on smart power applications described in Embodiment 1 or Embodiment 2 of the present invention.

[0193] Embodiment 5

[0194] An embodiment of the present invention discloses a computer storage medium storing computer instructions, which, when called, are used to execute the steps in the intelligent management and control method for power communication devices based on smart power applications described in Embodiment 1 or Embodiment 2 of the present invention.

[0195] Embodiment 6

[0196] An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute the steps in the intelligent management and control method for power communication devices based on smart power applications described in Embodiment 1 or Embodiment 2.

[0197] The device embodiments described above are merely illustrative. The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed to multiple network modules. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. A person of ordinary skill in the art can understand and implement it without creative labor.

[0198] Through the specific descriptions of the above embodiments, those skilled in the art can clearly understand that each implementation can be realized by means of software plus a necessary general hardware platform, and of course, it can also be realized by hardware. Based on such an understanding, the essence of the above technical solution, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, and the storage medium includes read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically-erasable programmable read-only memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc memories, magnetic disk memories, tape memories, or any other medium that can be used to carry or store data and is computer-readable.

[0199] Finally, it should be noted that: What is disclosed in an intelligent control method and device for a power communication device based on a smart power application in the embodiments of the present invention is only the preferred embodiments of the present invention, which are only used to illustrate the technical solutions of the present invention and are not intended to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An intelligent management and control method for power communication equipment based on intelligent power applications, characterized in that, The method includes: Based on 5G Internet of Things technology, monitoring the status of power communication devices to be controlled and the relevant power communication data of the power communication devices, where the relevant power communication data includes one or more combinations of Internet of Things SIM card data, Internet of Things device list data, and device operation time; Determining the management requirement category corresponding to the power communication device according to the status of the power communication device; Based on big data analysis and processing technology, analyzing the relevant power communication data according to the management requirement category to obtain the data analysis result of the relevant power communication data, where the data analysis result is used to represent the statistical data and correlation relationship of the relevant power communication data; Based on cloud computing and AI algorithms, performing predictive analysis on the relevant power communication data of the power communication device according to the management requirement category and the data analysis result to obtain the predictive analysis result of the power communication device, where the predictive analysis result is used to represent the predicted operation condition of the power communication device and is also used to represent the predictive scheduling strategy for the predicted operation condition; Performing corresponding control operations on the power communication device according to the predictive analysis result, where the control operations include power resource allocation operations and / or power communication device maintenance operations.

2. The intelligent control method for power communication equipment based on intelligent power applications according to claim 1, characterized in that, The monitoring of the status of the power communication device to be controlled and the relevant power communication data of the power communication device based on 5G Internet of Things technology includes: Based on 5G Internet of Things technology, constructing an Internet of Things management system for full-process control of information for one or more initial power communication devices; Based on the Internet of Things management system, monitoring the status of the power communication devices to be controlled among all the initial power communication devices; and optimizing the grid routing monitoring algorithm of the power dispatching network management system to which the power communication device belongs according to the status of the power communication device to obtain an optimized grid routing monitoring algorithm; Based on the optimized grid routing monitoring algorithm, collecting real-time power communication data of one or more grid key nodes of the power dispatching network management system to which the power communication device belongs as the relevant power communication data of the power communication device.

3. The intelligent control method for power communication equipment based on intelligent power applications according to claim 1 or 2, characterized in that, The big data analysis and processing technology includes technologies for big data filtering, cleaning, and analysis; Moreover, the analysis of the relevant power communication data according to the management requirement category based on the big data analysis and processing technology to obtain the data analysis result of the relevant power communication data includes: Filtering the relevant power communication data based on preset data filtering conditions to obtain the target power communication data of the power communication device; Cleaning the target power communication data according to a preset data cleaning method to obtain the cleaned target power communication data, where the data cleaning conditions include one or more combinations of methods for handling missing values, outlier detection methods, data standardization and normalization methods, and format conversion methods. For the sub-power communication data corresponding to one or more power types included in the target power communication data after cleaning, perform statistical analysis on the sub-power communication data corresponding to each power type to obtain the power statistical data for each power type; Based on the sub-power communication data corresponding to all power types, perform correlation analysis on the sub-power communication data corresponding to all power types to obtain the power communication data correlation relationship between each power type; Determine the target power communication data of the power communication device after cleaning, the power statistical data of all power types, and the power communication data correlation relationship between all power types as the data analysis result of the relevant power communication data.

4. The intelligent control method for power communication equipment based on intelligent power applications according to claim 3, wherein The data filtering conditions include filtering conditions corresponding to the normal operating range of the power communication device and / or filtering conditions corresponding to the power communication data characteristics required by the power communication device; Moreover, the filtering of the relevant power communication data based on preset data filtering conditions to obtain the target power communication data of the power communication device includes: Filter the relevant power communication data according to the normal operating range of the power communication device to obtain the first standby power communication data; Determine the power communication data characteristics required by the power communication device according to the management requirement category, and filter the relevant power communication data according to the power communication data characteristics to obtain the second standby power communication data; Integrate the first standby power communication data and the second standby power communication data to obtain the target power communication data of the power communication device.

5. The intelligent control method for power communication equipment based on intelligent power applications according to claim 3, characterized in that, The management requirement category includes an operation situation analysis requirement category and / or a scheduling strategy generation requirement category; Moreover, the predictive analysis of the relevant power communication data of the power communication device based on cloud computing and AI algorithms according to the management requirement category and the data analysis result to obtain the predictive analysis result of the power communication device includes: Obtain the historical power communication data of the power communication device and the corresponding historical analysis results of the historical power communication data, where the historical analysis results include historical load conditions and historical fault judgment results; Based on cloud computing and AI algorithms, perform predictive analysis on the operation situation of the power communication device according to the operation situation analysis requirement category, the historical power communication data, the historical analysis results, and the data analysis result to obtain the predicted operation situation of the power communication device, where the predicted operation situation includes a load prediction result and / or a fault judgment result; Predict the scheduling strategy required by the power communication device according to the scheduling strategy generation requirement category and the predicted operation situation as the predicted scheduling strategy of the power communication device; Determine the predicted operation situation and the predicted scheduling strategy as the predictive analysis result of the power communication device.

6. The intelligent control method for power communication equipment based on intelligent power applications according to claim 5, characterized in that, The operation situation analysis requirement category includes a load prediction requirement category and / or a fault judgment requirement category; And, based on cloud computing and AI algorithms, analyze the demand category, the historical power communication data, the historical analysis results, and the data analysis results according to the operating conditions, and perform predictive analysis on the operating conditions of the power communication equipment to obtain the predicted operating conditions of the power communication equipment, including: Based on cloud computing and AI algorithms, according to the load prediction demand category, according to the historical power communication data and the cleaned target power communication data, calculate the change trend of the power communication data of the power communication equipment, and predict the load condition for the relevant power communication data according to the change trend of the power communication data and the historical load condition, to obtain the load prediction result of the power communication equipment; According to the fault judgment demand category, the historical power communication data, and the historical fault judgment results, construct a fault classification prediction model; and input the cleaned target power communication data into the fault classification prediction model for analysis to obtain the fault judgment result of the power communication equipment.

7. The intelligent control method for power communication equipment based on intelligent power applications according to any one of claims 1, 2, 4, 5, and 6, characterized in that Performing corresponding control operations on the power communication equipment according to the prediction analysis result, including: Generating operation control parameters of the power dispatching network management system to which the power communication equipment belongs according to the prediction dispatching strategy included in the prediction analysis result, where the operation control parameters include resource configuration control parameters and / or equipment maintenance control parameters; and controlling the power dispatching network management system to perform corresponding control operations on the power communication equipment according to the operation control parameters; or, Generating control process prompt information corresponding to the power dispatching network management system according to the prediction dispatching strategy included in the prediction analysis result, and sending the control process prompt information to the operator corresponding to the power dispatching network management system to prompt the operator to perform corresponding control operations on the power communication equipment according to the content included in the control process prompt information.

8. An intelligent control device for power communication equipment based on intelligent power applications, characterized in that, The device includes: A monitoring module, configured to monitor the status of the power communication equipment to be controlled and the relevant power communication data of the power communication equipment based on 5G Internet of Things technology, where the relevant power communication data includes one or more combinations of Internet of Things SIM card data, Internet of Things device list data, and device operation time; A determination module, configured to determine the management demand category corresponding to the power communication equipment according to the status of the power communication equipment; An analysis module, configured to analyze the relevant power communication data based on big data analysis and processing technology according to the management demand category to obtain the data analysis result of the relevant power communication data, where the data analysis result is used to represent the statistical data and association relationship of the relevant power communication data; A prediction module, configured to perform predictive analysis on relevant power communication data of the power communication device based on cloud computing and AI algorithms according to the management requirement category and the data analysis result, so as to obtain a predictive analysis result of the power communication device, where the predictive analysis result is used to represent the predicted operation condition of the power communication device and is also used to represent a predictive scheduling strategy for the predicted operation condition; A control module, configured to perform corresponding control operations on the power communication device according to the predictive analysis result, where the control operations include power resource configuration operations and / or power communication device maintenance operations.

9. An intelligent control device for power communication equipment based on smart power applications, characterized in that, The device includes: A memory storing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory and executes the intelligent control method for power communication devices based on smart power applications according to any one of claims 1-7.

10. A computer storage medium, characterized in that, The computer storage medium stores computer instructions, which are used to execute the intelligent control method for power communication devices based on smart power applications according to any one of claims 1-7 when the computer instructions are called.

Images