A method and system for processing operational strategies in the sorting and identification of electricity meters.

Abstract

This invention discloses a processing method and system for the operation strategy of electricity meter sorting and identification, relating to the field of power system technology. It mainly addresses the problem of low accuracy and effectiveness in electricity meter management platform identification. The main components include: collecting the operation strategy for all electricity meter identification through a main control device, and the sorting data processing range of sub-control devices that have completed communication verification; generating sub-control tasks through the main control device; upon receiving a sub-control task, the sub-control device collects sorting data based on the target electricity meters marked in the sub-control task, and uses the collected sorting data of the target electricity meters for anomaly identification; if the anomaly identification result does not exceed the sub-control extreme value matched by the sub-control task, the identification results in each sub-control device are synchronized, and the synchronized identification results are integrated using the selected target sub-control device; when the average value of the integrated identification results from the target sub-control device matches the preset start / stop conditions, the electricity meter is driven to switch between start and stop.

Description

Technical Field

[0001] This invention relates to the field of power system technology, and in particular to a processing method and system for an operational strategy of sorting and identifying electricity meters. Background Technology

[0002] With the development of technologies such as intelligent layout and intelligent identification of electricity meters in power systems, electricity meter sorting and identification platforms identify and verify various electricity meters in the power transmission network to ensure the safety and effectiveness of electricity meters.

[0003] Currently, existing electricity meter sorting and identification platforms typically collect identification data from all electricity meters and then perform standardized numerical judgments to determine the operating status of the meters, thereby assessing the identification results or the operation of the sorting and identification equipment. However, due to differences in the identification equipment or operating environment of the electricity meters within the sorting and identification platform, the identification methods or content also vary, leading to significant errors in the identification process. Furthermore, the standardized judgment can also affect the accuracy of the identification based on data collected from different electricity meters. Therefore, a new operational strategy for electricity meter sorting and identification is urgently needed to address these technical problems. Summary of the Invention

[0004] In view of this, the present invention provides a processing method and system for the operation strategy of sorting and identifying electricity meters, the main purpose of which is to address the problem of low accuracy and effectiveness of existing electricity meter management platforms in identification.

[0005] According to one aspect of the present invention, a method for processing an operational strategy for sorting and identifying electricity meters is provided, comprising:

[0006] The main control device collects the operation strategy for the identification of all electricity meters and the sorting data processing range of the sub-control devices that have completed communication verification. The operation strategy includes identification objects, identification standard information and identification operation information. The sorting data processing range includes the extreme values ​​of electricity meter collection, the extreme values ​​of sorting data calculation and the extreme values ​​of identification strategy.

[0007] The main control device matches the operating strategy with the sorting data processing range to generate sub-control tasks, and sends the sub-control tasks to the corresponding sub-control devices.

[0008] When the sub-control device receives the sub-control task, it performs sorting data collection based on the target energy meters marked in the sub-control task, and uses the collected sorting data of at least one of the target energy meters to perform anomaly identification.

[0009] If the anomaly identification result does not exceed the sub-control extreme value matched by the sub-control task, then the identification results in each sub-control device are synchronized, and the synchronized identification results are integrated using the selected target sub-control device.

[0010] When the average value of the identification results integrated by the target sub-control device matches the preset start / stop conditions, the operation strategy is adjusted through the target sub-control device.

[0011] Furthermore, the step of matching the operating strategy with the sorting data processing range through the main control device to generate sub-control tasks includes:

[0012] The main control device retrieves the task allocation list and matches the operation strategy with the sorting data processing range based on the mapping relationship in the task allocation list to generate sub-control tasks. The task allocation list records the mapping relationship between different operation strategies and different sorting data processing ranges. The sub-control task is used to characterize the task of sorting data corresponding to at least two energy meters to be processed by each sub-control device.

[0013] Furthermore, the anomaly identification using the sorting data of at least one of the target energy meters collected includes:

[0014] The decision-making method, decision duration, and decision object in the sub-control task are analyzed, and the sorting data is anomaly identified according to the decision-making method, decision duration, and decision object.

[0015] Furthermore, the process of synchronizing the identification results in each of the sub-control devices and integrating the synchronized identification results using the selected target sub-control device includes:

[0016] The sub-control device sends the first identification result to other sub-control devices and obtains the second identification result synchronized by the other sub-control devices;

[0017] The sub-control device determines the target sub-control device through polling, and extracts the third identification result for the energy meter with the same identifier from the first identification result and the second identification result through the target sub-control device;

[0018] The third identification result is integrated using the integration strategy of the target sub-control device to obtain the average value of the integrated identification result.

[0019] Furthermore, before the main control device collects the operational strategy for identifying all electricity meters and the sorting data processing range of the sub-control devices that have completed communication verification, the method further includes:

[0020] The main control device sends a communication connection command to all sub-control devices. The communication connection command carries the communication protocol, communication IoT identifier, communication duration conditions, and communication device conditions for this connection.

[0021] When all sub-controllers receive the communication connection instruction, and after matching the communication protocol, communication IoT identifier, communication duration conditions, and communication device conditions based on the sub-controller information, they generate a communication connection response and send it to the master control device.

[0022] When the master control device receives a communication connection response, it establishes a communication connection with the sub-control device corresponding to the communication connection response.

[0023] Furthermore, the operational strategy for collecting all energy meter identification data through the main control device, and the sorting data processing scope of the sub-control devices that have completed communication verification, include:

[0024] The main control device sends sub-control device and electricity meter selection instructions to the electricity meter management platform, so as to output the identifiers of all sub-devices and electricity meters in the power network on the electricity meter management platform.

[0025] After the user selects the electricity meter to be identified and the sub-control device used for identification based on the electricity meter management platform, the main control device obtains the operating strategy recorded on the electricity meter management platform and the sorting data processing range of the sub-control device.

[0026] Furthermore, the method also includes:

[0027] If the anomaly identification result exceeds the sub-control extreme value matched by the sub-control task, the sorting data is sent to the main control device so that the main control device can use the sorting data to perform the highest level identification on the electricity meter. The highest level identification is used to indicate that the identification authority is higher than the identification authority of different sub-control devices.

[0028] According to another aspect of the present invention, a processing system for an operation strategy of sorting and identifying electricity meters is provided, comprising: a main control device, a plurality of sub-control devices connected to the main control device, and at least two electricity meters to be identified;

[0029] The main control device is used to collect the operating strategies of all electricity meters and the sorting data processing range of the sub-control devices that have completed communication verification. The operating strategy includes identification objects, identification standard information, and identification operation information. The sorting data processing range includes the extreme values ​​of electricity meter collection, the extreme values ​​of sorting data calculation, and the extreme values ​​of identification strategy. The main control device matches the operating strategy with the sorting data processing range to generate sub-control tasks and sends the sub-control tasks to the corresponding sub-control devices.

[0030] The sub-control device is used to collect sorting data based on the target energy meters marked in the sub-control task after receiving the sub-control task, and to use the collected sorting data of at least one of the target energy meters to perform anomaly identification; if the identification result of the anomaly identification does not exceed the sub-control extreme value matched by the sub-control task, the identification result in each of the sub-control devices is synchronized.

[0031] The sub-control device selected as the target sub-control device is also used to integrate the synchronized identification results; when the average value of the integrated identification results matches the preset start-stop conditions, an identification command is sent to the energy meter to drive the energy meter to switch between start and stop.

[0032] Furthermore, the main control device is specifically used to retrieve the task allocation list through the main control device, and match the operation strategy with the sorting data processing range based on the mapping relationship in the task allocation list to generate sub-control tasks. The task allocation list records the mapping relationship between different operation strategies and different sorting data processing ranges. The sub-control task is used to characterize the task of sorting data corresponding to at least two energy meters to be processed by each sub-control device.

[0033] Furthermore, the sub-control device is specifically used to analyze the decision-making method, decision-making duration, and decision-making object in the sub-control task, and to perform anomaly identification on the sorting data according to the decision-making method, the decision-making duration, and the decision-making object.

[0034] Furthermore, the sub-control device is specifically used to send the first identification result to other sub-control devices and obtain the second identification result synchronized by the other sub-control devices;

[0035] The target sub-control device is determined by polling, and a third identification result for the same energy meter is extracted from the first identification result and the second identification result through the target sub-control device.

[0036] The third identification result is integrated using the integration strategy of the target sub-control device to obtain the average value of the integrated identification result.

[0037] Furthermore, the main control device is also used to send communication connection instructions to all sub-control devices. The communication connection instructions carry the communication protocol, communication IoT identifier, communication duration conditions, and communication device conditions for this connection.

[0038] The sub-control device is also used to receive the communication connection instruction, and after matching the communication protocol, communication IoT identifier, communication duration conditions, and communication device conditions based on the sub-control device information, generate a communication connection response and send it to the main control device;

[0039] The master control device is also used to establish a communication connection with the sub-control device corresponding to the communication connection response after receiving the communication connection response.

[0040] Furthermore, the main control device is specifically used to send sub-control device and electricity meter selection instructions to the electricity meter management platform, so as to output all sub-device identifiers and electricity meter identifiers in the power network on the electricity meter management platform;

[0041] After the user selects the electricity meter to be identified and the sub-control device used for identification based on the electricity meter management platform, the main control device obtains the operating strategy recorded on the electricity meter management platform and the sorting data processing range of the sub-control device.

[0042] Furthermore, the sub-control device is also used to send the sorting data to the main control device if the identification result of the anomaly identification exceeds the sub-control extreme value matched by the sub-control task;

[0043] The main control device also uses the sorting data to perform the highest-level identification on the electricity meter. The highest-level identification is used to indicate that the identification authority is higher than that of different sub-control devices.

[0044] By employing the above-described technical solutions, the technical solutions provided by the embodiments of the present invention have at least the following advantages:

[0045] This invention provides a method and system for processing operational strategies for energy meter sorting and identification. In this embodiment, a main control device collects all operational strategies for energy meter identification, as well as the sorting data processing range of sub-control devices that have completed communication verification. The operational strategy includes identification objects, identification standard information, and identification operation information. The sorting data processing range includes extreme values ​​for energy meter acquisition, extreme values ​​for sorting data calculation, and extreme values ​​for identification strategies. The main control device matches the operational strategies with the sorting data processing range to generate sub-control tasks, which are then sent to the corresponding sub-control devices. When a sub-control device receives a sub-control task, it collects sorting data based on the target energy meters marked in the sub-control task and uses the collected sorting data from at least one target energy meter for anomaly identification. If the anomaly identification result does not exceed the sub-control extreme value matched by the sub-control task, the identification results in each sub-control device are synchronized, and the synchronized identification results are integrated using the selected target sub-control device. When the average value of the integrated identification results from the target sub-control device matches the preset start / stop conditions, an identification command is sent to the energy meter through the target sub-control device to drive the energy meter to switch between start and stop. This significantly reduces the occurrence of energy meter identification errors or untimely identification caused by errors in the identification equipment, greatly improving the accuracy of energy meter identification, thereby enhancing the accuracy and effectiveness of energy meter identification by the energy meter management platform.

[0046] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are specifically listed below. Attached Figure Description

[0047] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0048] Figure 1 A flowchart of a processing method for an operation strategy of sorting and identifying electricity meters provided by an embodiment of the present invention is shown;

[0049] Figure 2 A flowchart of a processing method for another energy meter sorting and identification operation strategy provided by an embodiment of the present invention is shown;

[0050] Figure 3 The diagram shows a processing system block diagram of an operation strategy for sorting and identifying electricity meters provided in an embodiment of the present invention. Detailed Implementation

[0051] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0052] This invention provides a method for processing operational strategies in the sorting and identification of electricity meters, such as... Figure 1 As shown, the method includes:

[0053] 101. The main control device collects the operation strategy for all electricity meter identification and the sorting data processing range of the sub-control devices that have completed communication verification.

[0054] In this embodiment of the invention, the processing system for the operation strategy of sorting and identifying electricity meters includes a main control device, multiple sub-control devices connected to the main control device, and multiple electricity meters to be identified by each sub-control device. In this case, the sub-control device can be the processor corresponding to the sorting robotic arm; this embodiment of the invention does not impose specific limitations. Figure 2The diagram shows the system connection topology for the electricity meter sorting and authentication operation strategy. The main control device connects to multiple sub-control devices, each corresponding to a different electricity meter to be authenticated. Each meter can be used as the data collection target for at least two sub-control devices. Before authentication, the meters are transported on a conveyor belt. Different meters can be transported to the robotic arms of multiple sub-control devices for sorting and data collection. To authenticate the meters, the electricity meter sorting and authentication platform needs to determine the operational strategy for authenticating all meters, as well as the data processing range for the sub-control devices that have completed communication verification, through the main control device.

[0055] The operational strategy includes the identification object, identification standard information, and identification operation information. The identification object is the electricity meter that needs to be identified. The identification standard information comprises the identification basis and operational standards for the electricity meter, which can be set based on statistical results of historical data. For example, if identification is based on the collected electricity meter current, the identification standard information includes the identification range of the current; if identification is based on the electricity quantity, the identification standard information includes the identification range of the electricity quantity. The identification operation information includes the duration of a single identification, the frequency of identification execution, the total identification execution time, and the execution conditions of identification (such as the status requirements of the electricity meter). The sorting data processing range refers to the range of sorting data that the sub-control equipment can collect and process, which can be manually configured, including the electricity meter acquisition extreme values, the sorting data calculation extreme values, and the identification strategy extreme values. The electricity meter acquisition extreme values ​​are the extreme values ​​for identifying the sorting data directly collected from the electricity meter, such as voltage, current, and electricity values. The sorting data calculation extreme values ​​are the extreme values ​​for judging the results calculated from the collected sorting data according to the preset data processing method. The preset data processing can be time-domain analysis algorithms, Fourier transform algorithms for spectrum analysis, exponential smoothing analysis of load change trends, data processing methods based on machine learning algorithms, etc., and this embodiment of the invention does not impose specific limitations. The extreme value of the identification strategy is the extreme value of the sorting data when the identification state of the energy meter changes or in extreme cases, such as the extreme value of start-stop pulse, the extreme value of zero-point drift, etc.

[0056] It should be noted that the sub-controllers used to execute the operation strategy are sub-controllers that have completed communication verification. That is, the communication status of the sub-controllers is verified before the operation strategy is distributed to ensure that the sub-controllers can effectively execute the operation strategy and authenticate the electricity meter, thereby ensuring the validity of the electricity meter authentication.

[0057] 102. The main control device matches the operating strategy with the sorting data processing range to generate sub-control tasks, and sends the sub-control tasks to the corresponding sub-control devices.

[0058] In this embodiment of the invention, in the main control device, for each operating strategy, the operating strategy is matched with the sorting data processing range to determine the sub-control device used to execute the current operating strategy. Specifically, the sub-control device can be matched based on the correspondence between the operating strategy and the sorting data processing range, or it can be matched based on the comparison result between the sorting data processing range and the identification standard information in the operating strategy. For example, the sub-control device whose sorting data processing range covers the identification standard information is determined as the sub-control device used to execute the corresponding operating strategy. After determining the sub-control device corresponding to each operating strategy, that is, after determining the multiple operating strategies that each sub-control device can execute, the operating strategies are integrated into sub-control tasks for the corresponding sub-control devices, the energy meter pointed to by the task object is marked as the target energy meter, and the sub-control task is sent to the corresponding sub-control device.

[0059] It should be noted that due to the different power supply network environments in which different electricity meters are located, the data acquisition range of the electricity meters also varies, and the magnitude of the sorting data collected by the electricity meters may differ. Therefore, they cannot be processed using the same sub-controller. By configuring different sorting data processing ranges for different sub-controllers, and then matching sub-controllers according to the operating strategy, the sub-controllers and electricity meters can be matched in terms of sorting data processing range, thereby improving the accuracy of sorting data processing.

[0060] 103. After receiving the sub-control task, the sub-control device performs sorting data collection based on the target energy meters marked in the sub-control task, and uses the collected sorting data of at least one of the target energy meters to perform anomaly identification.

[0061] In this embodiment of the invention, after receiving a sub-control task, different sub-control devices collect sorting data from the target energy meters according to their received tasks. The sub-control task carries all the target energy meters to be identified, as well as the corresponding operating strategies. For example, the sub-control task may be a list containing the energy meter information of the target energy meters to be identified, the frequency of identification, the identification duration, and identification criteria for determining whether the energy meters are abnormal. After collecting the sorting data from the target energy meters, the identification criteria are used to identify anomalies in the sorting data. Anomaly identification can be based on extreme values ​​of the sorting data, such as a voltage exceeding an extreme value being considered abnormal; or it can be based on the average value of the sorting data, such as a ratio of the maximum current value to the average current value being greater than a preset multiple being considered abnormal. This embodiment of the invention does not impose specific limitations on these criteria.

[0062] It should be noted that different sub-control devices have different sub-control tasks. The same energy meter can be authenticated simultaneously by two or more sub-control devices. One sub-control device can authenticate multiple energy meters. That is to say, the sub-control task corresponding to a sub-control device includes the task of authenticating multiple energy meters. Energy meters of different types or on different transmission belts have their own operating strategies, and there can be overlap in the energy meters included in different sub-control tasks.

[0063] 104. If the identification result of the anomaly identification does not exceed the sub-control extreme value matched by the sub-control task, then the identification results in each sub-control device are synchronized, and the synchronized identification results are integrated using the selected target sub-control device.

[0064] In this embodiment of the invention, the identification result includes the difference data between the sorting data of the electricity meter and the corresponding standard or extreme value in the identification standard information. This difference data is used to characterize the abnormal identification result. For example, if the maximum electricity consumption in the identification standard information is 2000 KW / h, and the electricity consumption in the sorting data collected for a certain electricity meter is 8000 KW / h, then the difference data characterizes the abnormal identification result. Although this identification result is an abnormal identification result for the electricity meter, not all abnormal identification results of electricity meters require identification operations. The sub-control task also matches sub-control extreme values. Only when the identification result exceeds the sub-control extreme value can it be determined that the electricity meter is abnormal and requires identification. If the identification result of the abnormal identification does not exceed the sub-control extreme value matched by the sub-control task, for example, if the sub-control extreme value of the electricity consumption difference data is 10000 KW / h, and the difference data in the above example is 6000 KW / h, then it does not exceed the sub-control extreme value.

[0065] If the current sub-control device's identification result does not exceed the sub-control extreme value matched by the sub-control task, the identification result of the current sub-control device is synchronized to other sub-control devices. One sub-control device is then selected as the target sub-control device, which integrates the identification results of the same energy meter from different sub-control devices. If the identification result is abnormal but does not reach the level required for energy meter identification, it may be due to a data acquisition anomaly in a particular sub-control device. By synchronizing and integrating identification results, the problem of inaccurate identification by a single sub-control device can be effectively avoided, thereby improving the accuracy of energy meter identification.

[0066] 105. When the average value of the identification results integrated by the target sub-control device matches the preset start / stop conditions, the operation strategy is adjusted through the target sub-control device.

[0067] In this embodiment of the invention, the ultimate goal of authenticating the electricity meter is to accurately identify its status and control the start / stop of the authentication process based on that status, while also adjusting the operating strategy. If the authentication result of the electricity meter matches the preset start / stop conditions, it indicates that the meter authentication is in an abnormal state. Therefore, the operating strategy is adjusted through the target sub-control device. This adjustment may include, but is not limited to, adjustments to the authentication object, authentication standard information, and specific objects or numerical content in the authentication operation information. The adjustments can be provided to technical personnel or pre-configured with adjustment parameters. This embodiment of the invention does not impose specific limitations on these adjustments.

[0068] In one embodiment of the present invention, for further explanation and limitation, the step of matching the operating strategy with the sorting data processing range through the main control device to generate a sub-control task includes:

[0069] The main control device retrieves the task allocation list and matches the running strategy with the sorting data processing range based on the mapping relationship in the task allocation list to generate sub-control tasks.

[0070] In this embodiment of the invention, a task allocation list is pre-constructed, recording the mapping relationships between different operating strategies and different sorting data processing ranges. Based on the operating strategy, the sorting data processing range that the sub-controllers need to satisfy during the execution of the operating strategy is matched from the task allocation list. For each operating strategy, the queried sorting data processing range is matched with the sorting data processing range of different sub-controllers to determine the sub-controllers capable of executing the current operating strategy. Specifically, sub-controllers whose sorting data processing range covers the queried sorting data processing range are determined as those capable of executing the corresponding operating strategy.

[0071] When multiple sub-controllers are matched and capable of executing the current operating strategy, the operating strategy is assigned to the sub-controller with the fewest pending tasks to balance the distribution of operating strategies among sub-controllers. After the operating strategies for all energy meters have been assigned, to avoid overly dispersed allocation and unnecessary resource consumption by sub-controllers, a sub-controller task is only confirmed when the number of operating strategies assigned to a sub-controller is greater than or equal to two. A sub-controller task represents the task of collecting sorting data from at least two energy meters for each sub-controller. If a sub-controller has fewer than two pending operating strategies, these strategies are transferred to other sub-controllers capable of executing the same strategy and with two or more pending operating strategies.

[0072] In one embodiment of the present invention, for further explanation and limitation, the step of using the sorting data of at least one of the target energy meters collected for anomaly identification includes:

[0073] The decision-making method, decision duration, and decision object in the sub-control task are analyzed, and the sorting data is anomaly identified according to the decision-making method, decision duration, and decision object.

[0074] In this embodiment of the invention, the decision object is a data item in the sorting data used to determine whether the sorting data is normal. It can be a single data item, such as current, electricity, or power, or a combination of two or more data items, such as current and electricity, power and electricity, or power, current, and electricity. The decision duration is the data extraction period for the decision object, for example, extracting voltage data within one hour or electricity data within one day. The decision method is a method of identifying whether the sorting data is abnormal based on the data of the decision object within the decision duration. For example, the standard deviation and mean of the decision object's data are calculated, and the abnormality of the sorting data is determined based on the calculation results of the standard deviation or mean. Another example is plotting data change curves for different decision objects within the decision duration, fitting multiple change curves, and determining whether the sorting data is abnormal based on the curve fitting results. Yet another example is using a neural network model to predict the data of the decision object within the decision duration, and determining whether the sorting data is abnormal based on the prediction results.

[0075] It should be noted that the decision-making method, decision duration, and specific content of the decision object can be determined based on the identification object, identification standard information, and identification operation information in the operation strategy. Specifically, the decision duration can be determined based on the identification operation information. For example, if the duration of a single identification operation is 20 minutes, then the decision duration is less than or equal to 20 minutes. The decision object can be determined based on the identification object and / or identification standard information. For example, if the identification object is a low-voltage area energy meter, the decision object can be determined based on the data items corresponding to the standard data in the identification standard information; if the identification object is a high-voltage area energy meter, the decision object, in addition to the data items specified in the identification standard information, also needs to include data items such as current and power used for monitoring circuit safety. The decision-making method can be determined based on the data processing method corresponding to the standard item specified by the user in the identification standard information. For example, if the standard item is a standard deviation threshold, then the decision-making method is standard deviation.

[0076] In one embodiment of the present invention, for further explanation and limitation, the step of synchronizing the identification results in each of the sub-control devices and integrating the synchronized identification results using the selected target sub-control device includes:

[0077] The sub-control device sends the first identification result to other sub-control devices and obtains the second identification result synchronized by the other sub-control devices;

[0078] The sub-control device determines the target sub-control device through polling, and extracts the third identification result for the energy meter with the same identifier from the first identification result and the second identification result through the target sub-control device;

[0079] The third identification result is integrated using the integration strategy of the target sub-control device to obtain the average value of the integrated identification result.

[0080] In this embodiment of the invention, when the identification result in a sub-control device does not meet the abnormal conditions of that sub-control device, the identification result of the current sub-control device (first identification result) is synchronized to other sub-control devices, and the identification results of other sub-control devices synchronized from them (second identification result) are obtained. Since the operating strategy of an energy meter is executed by at least two sub-control devices, both the first and second identification results contain identification results for the same energy. After the identification results between the sub-control devices are synchronized, the identification results stored in each sub-control device have the same coverage of the energy meter. One sub-control device can be identified as the execution device for subsequent integration of identification results, i.e., the target sub-control device. Through the target sub-control device, based on the energy meter's identifier, the identification results (third identification results) corresponding to the same energy meter are extracted from the first and second identification results, respectively. The average value of the third identification result is calculated according to different data items, and the average values ​​of the different data items are summed according to different weights to obtain the average value of the integrated identification results. By integrating the identification results of the same energy meter from different sub-control terminals, the problem of identification bias from a single sub-control device can be avoided, improving the accuracy of energy meter identification results and thus improving the accuracy of subsequent energy meter identification.

[0081] It should be noted that the selection of target sub-control devices is achieved through polling, which can be either directional or non-directional. Directional polling follows a pre-configured mapping relationship between different sorting and identification energy meters and sub-control devices. For example, if the target sub-control device for sorting and identification energy meter A is sub-control device a, and the target sub-control device for sorting and identification energy meter B is sub-control device b, then when determining the target sub-control device for sorting and identification energy meter A, sub-control device a can be directly selected. Non-directional polling is a polling method where the correspondence between sorting and identification energy meters and sub-control devices is not fixed. For example, a sub-control device can be randomly selected as the target sub-control device, or the sub-control device with the lowest frequency of being selected as the target sub-control device can be selected.

[0082] In one embodiment of the present invention, for further explanation and limitation, before the step of collecting the operation strategy for identifying all electricity meters through the main control device and the sorting data processing range of the sub-control devices that have completed communication verification, the method further includes:

[0083] The main control device sends communication connection commands to all sub-control devices.

[0084] When all sub-controllers receive the communication connection instruction, and after matching the communication protocol, communication IoT identifier, communication duration conditions, and communication device conditions based on the sub-controller information, they generate a communication connection response and send it to the master control device.

[0085] When the master control device receives a communication connection response, it establishes a communication connection with the sub-control device corresponding to the communication connection response.

[0086] In this embodiment of the invention, before invoking the sub-controller, the master control device needs to establish a communication connection with the sub-controller to ensure timely transmission of data and instructions between the two devices. The master control device verifies the communication connection of the sub-controller by sending a communication connection command. This command carries the communication protocol, IoT identifier, communication duration conditions, and communication device conditions specific to this connection. Upon receiving the command, the sub-controller matches its own information with the communication protocol, IoT identifier, and the required conditions. If any match between the sub-controller and the command fails, the sub-controller does not connect to the master control device and does not generate a communication connection response. If all information in the command matches successfully, the sub-controller can establish a connection with the master control device, generate a communication connection response, and send it back to the master control device, thus establishing a communication connection between them. The main control device sends a communication connection command to the sub-control device, and establishes a communication connection by carrying the communication protocol, communication IoT identifier, communication duration conditions, and communication device conditions for this connection. This gives the communication connection command a sub-control device filtering attribute. Users can filter the enabled sub-control devices by configuring the communication connection command, which carries the communication protocol, communication IoT identifier, and communication duration conditions for this connection, thereby improving the controllability and flexibility of enabling sub-control devices.

[0087] In one embodiment of the present invention, for further explanation and limitation, the step of collecting the operation strategy for all energy meter identification through the main control device, and the sorting data processing scope of the sub-control device that has completed communication verification, includes:

[0088] The main control device sends sub-control device and electricity meter selection instructions to the electricity meter management platform, so as to output the identifiers of all sub-devices and electricity meters in the power network on the electricity meter management platform.

[0089] After the user selects the electricity meter to be identified and the sub-control device used for identification based on the electricity meter management platform, the main control device obtains the operating strategy recorded on the electricity meter management platform and the sorting data processing range of the sub-control device.

[0090] In this embodiment of the invention, the selection of the energy meter to be identified and the sub-control device used for identifying the energy meter, as well as the configuration of information such as the operating strategy and the sorting data processing range of the sub-control device, can be implemented based on the human-computer interaction function of the energy meter management platform. The main control device can start the energy meter process in response to a trigger command or according to a preset time interval. The main control device obtains the sub-control device and energy meter selected by the user through the energy meter management platform interface by sending a sub-control device energy meter selection command to the energy meter management platform. Specifically, the energy meter management platform interface can respond to the sub-control device and energy meter selection command, and display all selectable sub-control devices and energy meters in the form of a topology diagram on the user interface, so that the user can more intuitively select the energy meter to be identified and the sub-control device to be activated. After determining the energy meter to be identified and the sub-control device used for identification, the user is prompted to enter the operating strategy of different energy meters and the sorting data processing range of the sub-control device. The operating strategy and sorting data processing range can be a variety of pre-built options based on historical operating strategies and sorting data processing ranges, displayed to users in the form of drop-down menus to enable quick input of operating strategies and sorting data processing ranges.

[0091] In one embodiment of the present invention, for further explanation and limitation, the method further includes:

[0092] If the anomaly identification result exceeds the sub-control extreme value matched by the sub-control task, the sorting data is sent to the main control device so that the main control device can use the sorting data to perform the highest level identification on the electricity meter.

[0093] In this embodiment of the invention, if the anomaly detection result exceeds the sub-controller's extreme value matched by the sub-controller task, it indicates that the current electricity meter's sorting data needs to be given a higher level of attention. In this case, the sorting data of this electricity meter is sent to the master control device for the highest-level detection. The highest-level detection indicates that the detection authority is higher than that of different sub-controllers. That is, after initiating the highest-level detection for a certain electricity meter, this electricity meter will not accept detection commands from any other sub-controllers and will only be controlled by the master control device. The master control device's highest-level detection of the sorting data can be the same as the sub-controller's detection method, or it can use a more precise and rigorous detection method. For example, if the sub-controller task uses one decision object, the highest-level detection can use more decision objects as judgment criteria to detect the sorting data.

[0094] When the identification result of the sorting data of the electricity meter on the sub-control device side exceeds the sub-control extreme value matched by the sub-control task, the abnormal identification of the electricity meter is upgraded and transferred to the main control device with higher identification authority. This can avoid misidentification and false identification due to the abnormality of the sub-control device, and improve the accuracy of electricity meter identification.

[0095] This invention provides a method for processing the operation strategy of electricity meter sorting and identification. In this embodiment, a main control device collects the operation strategy for all electricity meter identification and the sorting data processing range of sub-control devices that have completed communication verification. The operation strategy includes identification objects, identification standard information, and identification operation information. The sorting data processing range includes the extreme values ​​of electricity meter collection, the extreme values ​​of sorting data calculation, and the extreme values ​​of the identification strategy. The main control device matches the operation strategy with the sorting data processing range to generate sub-control tasks and sends these tasks to the corresponding sub-control devices. When a sub-control task is processed... After receiving a sub-control task, the control device collects sorting data based on the target energy meters marked in the sub-control task, and uses the sorting data from at least one target energy meter for anomaly identification. If the anomaly identification result does not exceed the sub-control extreme value matched by the sub-control task, the identification results in each sub-control device are synchronized, and the synchronized identification results are integrated using the selected target sub-control device. When the average value of the integrated identification results from the target sub-control device matches the preset start / stop conditions, an identification command is sent to the energy meter through the target sub-control device to drive the energy meter to switch between start and stop. This significantly reduces the occurrence of energy meter identification errors or untimely identification caused by errors in the identification equipment, greatly improving the accuracy of energy meter identification, thereby enhancing the accuracy and effectiveness of energy meter identification by the energy meter management platform.

[0096] Furthermore, as a response to the above Figure 1 The implementation of the method shown in this embodiment of the invention provides a processing system for the operation strategy of sorting and identifying electricity meters, such as... Figure 3 As shown, the system includes:

[0097] Main control device 31, and multiple sub-control devices 32 connected to the main control device;

[0098] The main control device is used to collect the operating strategies of all electricity meters and the sorting data processing range of the sub-control devices that have completed communication verification. The operating strategy includes identification object, identification standard information, and identification operation information. The sorting data processing range includes the extreme values ​​of electricity meter collection, the extreme values ​​of sorting data calculation, and the extreme values ​​of identification strategy. The main control device matches the operating strategy with the sorting data processing range to generate a sub-control task and sends the sub-control task to the corresponding sub-control device.

[0099] The sub-control device is used to collect sorting data based on the target energy meters marked in the sub-control task after receiving the sub-control task, and to use the collected sorting data of at least one of the target energy meters to perform anomaly identification; if the identification result of the anomaly identification does not exceed the sub-control extreme value matched by the sub-control task, the identification result in each of the sub-control devices is synchronized.

[0100] The sub-control device selected as the target sub-control device is also used to integrate the synchronized identification results; when the average value of the integrated identification results matches the preset start-stop conditions, an identification command is sent to the energy meter to drive the energy meter to switch between start and stop.

[0101] Furthermore, the main control device is specifically used to retrieve the task allocation list through the main control device, and match the operation strategy with the sorting data processing range based on the mapping relationship in the task allocation list to generate sub-control tasks. The task allocation list records the mapping relationship between different operation strategies and different sorting data processing ranges. The sub-control task is used to characterize the task of sorting data corresponding to at least two energy meters to be processed by each sub-control device.

[0102] Furthermore, the sub-control device is specifically used to analyze the decision-making method, decision-making duration, and decision-making object in the sub-control task, and to perform anomaly identification on the sorting data according to the decision-making method, the decision-making duration, and the decision-making object.

[0103] Furthermore, the sub-control device is specifically used to send the first identification result to other sub-control devices and obtain the second identification result synchronized by the other sub-control devices;

[0104] The target sub-control device is determined by polling, and a third identification result for the same energy meter is extracted from the first identification result and the second identification result through the target sub-control device.

[0105] The third identification result is integrated using the integration strategy of the target sub-control device to obtain the average value of the integrated identification result.

[0106] Furthermore, the main control device is also used to send communication connection instructions to all sub-control devices. The communication connection instructions carry the communication protocol, communication IoT identifier, communication duration conditions, and communication device conditions for this connection.

[0107] The sub-control device is also used to receive the communication connection instruction, and after matching the communication protocol, communication IoT identifier, communication duration conditions, and communication device conditions based on the sub-control device information, generate a communication connection response and send it to the main control device;

[0108] The master control device is also used to establish a communication connection with the sub-control device corresponding to the communication connection response after receiving the communication connection response.

[0109] Furthermore, the main control device is specifically used to send sub-control device and electricity meter selection instructions to the electricity meter management platform, so as to output all sub-device identifiers and electricity meter identifiers in the power network on the electricity meter management platform;

[0110] After the user selects the electricity meter to be identified and the sub-control device used for identification based on the electricity meter management platform, the main control device obtains the operating strategy recorded on the electricity meter management platform and the sorting data processing range of the sub-control device.

[0111] Furthermore, the sub-control device is also used to send the sorting data to the main control device if the identification result of the anomaly identification exceeds the sub-control extreme value matched by the sub-control task;

[0112] The main control device also uses the sorting data to perform the highest-level identification on the electricity meter. The highest-level identification is used to indicate that the identification authority is higher than that of different sub-control devices.

[0113] This invention provides a processing system for the operation strategy of electricity meter sorting and identification. In this embodiment, a main control device collects the operation strategy for all electricity meter identification and the sorting data processing range of sub-control devices that have completed communication verification. The operation strategy includes identification objects, identification standard information, and identification operation information. The sorting data processing range includes the extreme values ​​of electricity meter collection, the extreme values ​​of sorting data calculation, and the extreme values ​​of the identification strategy. The main control device matches the operation strategy with the sorting data processing range to generate sub-control tasks and sends these tasks to the corresponding sub-control devices. When a sub-control task is selected... After receiving a sub-control task, the control device collects sorting data based on the target energy meters marked in the sub-control task, and uses the sorting data from at least one target energy meter for anomaly identification. If the anomaly identification result does not exceed the sub-control extreme value matched by the sub-control task, the identification results in each sub-control device are synchronized, and the synchronized identification results are integrated using the selected target sub-control device. When the average value of the integrated identification results from the target sub-control device matches the preset start / stop conditions, an identification command is sent to the energy meter through the target sub-control device to drive the energy meter to switch between start and stop. This significantly reduces the occurrence of energy meter identification errors or untimely identification caused by errors in the identification equipment, greatly improving the accuracy of energy meter identification, thereby enhancing the accuracy and effectiveness of energy meter identification by the energy meter management platform.

[0114] It is obvious to those skilled in the art that the modules or steps of the present invention described above can be implemented using general-purpose computing systems. They can be centralized on a single computing system or distributed across a network of multiple computing systems. Optionally, they can be implemented using program code executable by a computing system, thereby storing them in a storage system for execution by the computing system. In some cases, the steps shown or described can be performed in a different order than those presented herein, or they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. Thus, the present invention is not limited to any particular combination of hardware and software.

[0115] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A processing method for an operational strategy of sorting and identifying electricity meters, characterized in that, include: The main control device collects the operation strategy for the identification of all electricity meters, as well as the sorting data processing range of the sub-control devices that have completed communication verification. The operation strategy includes identification objects, identification standard information, and identification operation information. The sorting data processing range includes the extreme values ​​of electricity meter collection, the extreme values ​​of sorting data calculation, and the extreme values ​​of identification strategy. The main control device matches the operating strategy with the sorting data processing range to generate sub-control tasks, and sends the sub-control tasks to the corresponding sub-control devices. When the sub-control device receives the sub-control task, it performs sorting data collection based on the target energy meters marked in the sub-control task, and uses the collected sorting data of at least one of the target energy meters to perform anomaly identification. If the anomaly identification result does not exceed the sub-control extreme value matched by the sub-control task, then the identification results in each sub-control device are synchronized, and the synchronized identification results are integrated using the selected target sub-control device. When the average value of the identification results integrated by the target sub-control device matches the preset start / stop conditions, the operation strategy is adjusted through the target sub-control device.

2. The method according to claim 1, characterized in that, The step of matching the operating strategy with the sorting data processing range through the main control device to generate sub-control tasks includes: The main control device retrieves the task allocation list and matches the operation strategy with the sorting data processing range based on the mapping relationship in the task allocation list to generate sub-control tasks. The task allocation list records the mapping relationship between different operation strategies and different sorting data processing ranges. The sub-control task is used to characterize the task of sorting data corresponding to at least two energy meters to be processed by each sub-control device.

3. The method according to claim 2, characterized in that, The anomaly identification using the sorting data of at least one of the target energy meters collected includes: The decision-making method, decision duration, and decision object in the sub-control task are analyzed, and the sorting data is anomaly identified according to the decision-making method, decision duration, and decision object.

4. The method according to claim 3, characterized in that, The process of synchronizing the identification results in each of the sub-control devices and integrating the synchronized identification results using the selected target sub-control device includes: The sub-control device sends the first identification result to other sub-control devices and obtains the second identification result synchronized by the other sub-control devices; The sub-control device determines the target sub-control device through polling, and extracts the third identification result for the energy meter with the same identifier from the first identification result and the second identification result through the target sub-control device; The third identification result is integrated using the integration strategy of the target sub-control device to obtain the average value of the integrated identification result.

5. The method according to claim 4, characterized in that, Before the main control device collects the operational strategy for identifying all electricity meters and the sorting data processing range of the sub-control devices that have completed communication verification, the method further includes: The main control device sends a communication connection command to all sub-control devices. The communication connection command carries the communication protocol, communication IoT identifier, communication duration conditions, and communication device conditions for this connection. When all sub-controllers receive the communication connection instruction, and after matching the communication protocol, communication IoT identifier, communication duration conditions, and communication device conditions based on the sub-controller information, they generate a communication connection response and send it to the master control device. When the master control device receives a communication connection response, it establishes a communication connection with the sub-control device corresponding to the communication connection response.

6. The method according to claim 5, characterized in that, The operational strategy for collecting all energy meter identification data through the main control device, and the scope of sorting data processing for the sub-control devices that have completed communication verification, include: The main control device sends sub-control device and electricity meter selection instructions to the electricity meter management platform, so as to output the identifiers of all sub-devices and electricity meters in the power network on the electricity meter management platform. After the user selects the electricity meter to be identified and the sub-control device used for identification based on the electricity meter management platform, the main control device obtains the operating strategy recorded on the electricity meter management platform and the sorting data processing range of the sub-control device.

7. The method according to claim 1, characterized in that, The method further includes: If the anomaly identification result exceeds the sub-control extreme value matched by the sub-control task, the sorting data is sent to the main control device so that the main control device can use the sorting data to perform the highest level identification on the electricity meter. The highest level identification is used to indicate that the identification authority is higher than the identification authority of different sub-control devices.

8. A processing system for an operational strategy of sorting and identifying electricity meters, characterized in that, include: A main control device and multiple sub-control devices connected to the main control device; The main control device is used to collect the operating strategies of all electricity meters and the sorting data processing range of the sub-control devices that have completed communication verification. The operating strategy includes identification object, identification standard information, and identification operation information. The sorting data processing range includes the extreme values ​​of electricity meter collection, the extreme values ​​of sorting data calculation, and the extreme values ​​of identification strategy. The main control device matches the operating strategy with the sorting data processing range to generate a sub-control task and sends the sub-control task to the corresponding sub-control device. The sub-control device is used to collect sorting data based on the target energy meters marked in the sub-control task after receiving the sub-control task, and to use the collected sorting data of at least one of the target energy meters to perform anomaly identification; if the identification result of the anomaly identification does not exceed the sub-control extreme value matched by the sub-control task, the identification result in each of the sub-control devices is synchronized. The sub-control device selected as the target sub-control device is also used to integrate the synchronized identification results; when the average value of the integrated identification results matches the preset start-stop conditions, an identification command is sent to the energy meter to drive the energy meter to switch between start and stop.

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