Processing method and system of operation strategy for sorting and identifying electric energy meter

Abstract

The invention discloses a processing method and system of an operation strategy for sorting and identifying an electric energy meter, and relates to the technical field of electric power systems. The method is mainly used for solving the problem that an electric energy meter management platform is low in identification accuracy and effectiveness. The method mainly comprises the steps that operation strategies identified by all electric energy meters and the sorting data processing range of sub-control equipment completing communication verification are collected through main control equipment; generating a sub-control task through the main control equipment; after the sub-control device receives the sub-control task, sorting data collection is carried out based on the target electric energy meter marked in the sub-control task, and abnormity identification is carried out by using the collected sorting data of the target electric energy meter; if the identification result of the abnormal identification does not exceed the sub-control extreme value matched with the sub-control task, synchronizing the identification result in each sub-control device, and integrating the synchronized identification results by using the selected target sub-control device; and when the average value of the identification results integrated by the target sub-control equipment is matched with a preset start-stop condition, driving the electric energy meter to perform start-stop switching.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power systems, and in particular to a method and system for processing an operation strategy for sorting and identifying electric energy meters. Background Art

[0002] With the development of technologies such as intelligent layout and intelligent identification of electric energy meters in power systems, the electric energy meter sorting and identification platform identifies and authenticates each electric energy meter in the power transmission network to ensure the safety and effectiveness of the electric energy meters.

[0003] At present, when the existing electric energy meter sorting and identification platform identifies the electric energy meter, it usually collects the identification data of all the electric energy meters and then makes a unified standard numerical judgment to determine the operating status of the electric energy meter, thereby judging the result of the electric energy meter identification or the operation identification of the sorting and identification equipment. However, due to the different identification equipment or operating environment of the electric energy meters in the electric energy meter sorting and identification platform, the identification method or identification content of the electric energy meter is also different, resulting in large errors in the identification judgment of the electric energy meter, and the unified standard judgment will also affect the judgment effect of the identification of data collected from different electric energy meters. Therefore, there is an urgent need to process the operation strategy of the electric energy meter sorting and identification to solve the above technical problems. Summary of the invention

[0004] In view of this, the present invention provides a method and system for processing an operation strategy for sorting and identifying an electric energy meter, the main purpose of which is to solve the problem of low accuracy and effectiveness of the identification of the existing electric energy meter management platform.

[0005] According to one aspect of the present invention, a method for processing an operation strategy for sorting and identifying an electric energy meter is provided, comprising:

[0006] The main control device collects the operation strategy of all electric energy meter identification and the sorting data processing range of the sub-control device that has completed communication verification, wherein the operation strategy includes the identification object, the identification standard information and the identification operation information, and the sorting data processing range includes the electric energy meter collection extreme value, the sorting data calculation extreme value and the identification strategy extreme value;

[0007] Matching the operation strategy with the sorting data processing range through the main control device, generating a sub-control task, and sending the sub-control task to the corresponding sub-control device;

[0008] When the sub-control device receives the sub-control task, it collects sorting data based on the target electric energy meter marked in the sub-control task, and uses the collected sorting data of at least one of the target electric energy meters to perform abnormality identification;

[0009] If the identification result of the abnormal identification does not exceed the sub-control extreme value matched by the sub-control task, the identification results in each of the sub-control devices 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 condition, the operation strategy is adjusted through the target sub-control device.

[0011] Furthermore, matching the operation strategy with the sorting data processing range through the main control device to generate a sub-control task includes:

[0012] The task allocation list is retrieved by the main control device, and the operation strategy is matched with the sorting data processing range based on the mapping relationship in the task allocation list to generate a sub-control task, wherein the task allocation list records the mapping relationship between different operation strategies and different sorting data processing ranges, and the sub-control task is used to represent the task of sorting data corresponding to at least two electric energy meters to be processed by each of the sub-control devices.

[0013] Further, the using the collected sorting data of at least one of the target electric energy meters to perform abnormality identification includes:

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

[0015] Furthermore, the synchronizing the identification results in each of the sub-control devices and integrating the synchronized identification results by 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 to other sub-control devices;

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

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

[0019] Furthermore, before the main control device collects the operation strategies for all electric energy meter authentication and the sorting data processing scope of the sub-control device that has completed communication verification, the method also includes:

[0020] Sending a communication connection instruction to all sub-control devices through the master control device, wherein the communication connection instruction carries the communication protocol, communication Internet of Things identifier, communication duration conditions, and communication device conditions belonging to this connection;

[0021] When all sub-control devices receive the communication connection instruction and match the communication protocol, communication Internet of Things identifier, communication duration condition, and communication device condition based on the sub-control device information, a communication connection response is generated and sent to the main control device;

[0022] After receiving the communication connection response, the main control device establishes a communication connection with the sub-control device corresponding to the communication connection response.

[0023] Furthermore, the operation strategy of collecting all electric energy meter authentications through the main control device and the sorting data processing scope of the sub-control device that has completed communication verification include:

[0024] Sending a sub-control device and an electric energy meter selection instruction to the electric energy meter management platform through the main control device, so as to output all sub-device identifiers and electric energy meter identifiers in the power network on the electric energy meter management platform;

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

[0026] Furthermore, the method further comprises:

[0027] If the identification result of the abnormal identification 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 uses the sorting data to perform the highest level identification on the electric energy meter. The highest level identification is used to characterize 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 an electric energy meter is provided, comprising: a main control device, a plurality of sub-control devices connected to the main control device, and at least two electric energy meters to be identified;

[0029] The main control device is used to collect the operation strategies of all electric energy meters and the sorting data processing range of the sub-control devices that have completed communication verification, wherein the operation strategy includes the identification object, identification standard information and identification operation information, and the sorting data processing range includes the electric energy meter collection extreme value, the sorting data calculation extreme value and the identification strategy extreme value; match the operation strategy with the sorting data processing range, generate a sub-control task, and send the sub-control task to the corresponding sub-control device;

[0030] The sub-control device is used to, after receiving the sub-control task, perform sorting data collection based on the target electric energy meter marked in the sub-control task, and perform abnormality identification using the collected sorting data of at least one of the target electric energy meters; if the identification result of the abnormality identification does not exceed the sub-control extreme value matched by the sub-control task, then synchronize the identification results in each of the sub-control devices;

[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 instruction is sent to the electric energy meter to drive the electric energy meter to start and stop switching.

[0032] Furthermore, the main control device is specifically used to call 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 a sub-control task, wherein the task allocation list records the mapping relationship between different operation strategies and different sorting data processing ranges, and the sub-control task is used to represent the task of sorting data corresponding to at least two electric energy meters to be processed by each of the sub-control devices.

[0033] Furthermore, the sub-control device is specifically used to analyze the decision-making method, decision-making time, and decision-making object in the sub-control task, and perform abnormality identification on the sorting data according to the decision-making method, decision-making time, and 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 to other sub-control devices;

[0035] Determine a target sub-control device by polling, and extract a third identification result for the electric energy meter with the same identification from the first identification result and the second identification result by the target sub-control device;

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

[0037] Furthermore, the master control device is further used to send a communication connection instruction to all sub-control devices, wherein the communication connection instruction carries the communication protocol, communication Internet of Things identifier, communication duration conditions, and communication device conditions belonging to this connection;

[0038] The sub-control device is further configured to receive the communication connection instruction, and after matching the communication protocol, the communication Internet of Things identifier, the communication duration condition, and the communication device condition based on the sub-control device information, generate a communication connection response, and send it to the main control device;

[0039] The main control device is further configured 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 a sub-control device and an electric energy meter selection instruction to the electric energy meter management platform through the main control device, so as to output all sub-device identifiers and electric energy meter identifiers in the power network on the electric energy meter management platform;

[0041] After the user selects the electric energy meter to be identified and the sub-control device used for identification based on the electric energy meter management platform, the main control device obtains the operation strategy entered on the electric energy 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 abnormal 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 electric energy meter, and the highest level identification is used to indicate that the identification authority is higher than the identification authority of different sub-control devices.

[0044] By means of the above technical solution, the technical solution provided by the embodiment of the present invention has at least the following advantages:

[0045] The present invention provides a method and system for processing an operation strategy for sorting and identifying an electric energy meter. In an embodiment of the present invention, a main control device collects the operation strategies for identifying all electric energy meters and the sorting data processing range of a sub-control device that has completed communication verification. The operation strategy includes an identification object, identification standard information, and identification operation information. The sorting data processing range includes an electric energy meter collection extreme value, a sorting data calculation extreme value, and an identification strategy extreme value. The main control device matches the operation strategy with the sorting data processing range, generates a sub-control task, and sends the sub-control task to the corresponding sub-control device. When the sub-control device receives the sub-control task, it collects sorting data based on the target electric energy meter marked in the sub-control task, and uses the collected sorting data of at least one target electric energy meter to perform abnormal identification; if the identification result of the abnormal identification 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 identification result integrated by the target sub-control device matches the preset start-stop condition, an identification instruction is sent to the electric energy meter through the target sub-control device to drive the electric energy meter to start and stop switching. This greatly reduces the situation of electric energy meter identification errors or untimely identification caused by errors in the identification equipment, greatly improves the accuracy of electric energy meter identification, and thus improves the accuracy and effectiveness of electric energy meter identification by the electric 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 according to 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 listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0048] Figure 1 A flow chart of a processing method for an operation strategy of sorting and identifying an electric energy meter provided by an embodiment of the present invention is shown;

[0049] Figure 2 A flow chart of another processing method for an operation strategy of sorting and identifying electric energy meters provided by an embodiment of the present invention is shown;

[0050] Figure 3 A block diagram showing the composition of a processing system for an operation strategy for sorting and identifying electric energy meters provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0051] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0052] The embodiment of the present invention provides a method for processing the operation strategy of electric energy meter sorting and identification, such as Figure 1 As shown, the method includes:

[0053] 101. The main control device collects the operation strategy for the identification of all electric energy meters, as well as the sorting data processing scope of the sub-control devices that have completed communication verification.

[0054] In the embodiment of the present invention, the processing system of the operation strategy of the electric energy meter sorting and identification includes a main control device, multiple sub-control devices connected to the main control device, and multiple electric energy meters to be identified by each sub-control device. At this time, the sub-control device can be a processor corresponding to the sorting robot arm, and the embodiment of the present invention does not make specific limitations. Figure 2The processing system connection relationship topology diagram of the operation strategy of the sorting and identification of electric energy meters shown. The main control device is connected to multiple sub-control devices, and there are multiple electric energy meters to be identified through the sub-control devices, and each electric energy meter can be used as the collection object of identification data for at least two sub-control devices. Before the electric energy meter needs to be identified, it needs to be placed on the conveyor belt for transmission, and different electric energy meters can be transported to the mechanical arms of multiple sub-control devices for sorting data collection. In order to identify the electric energy meters, the electric energy meter sorting and identification platform needs to determine the operation strategy for the identification of all electric energy meters through the main control device, as well as the sorting data processing range of the sub-control devices that have completed communication verification.

[0055] Among them, the operation strategy includes the identification object, identification standard information and identification operation information. The identification object is the electric energy meter that needs to be identified. The identification standard information is the identification basis and operation standard for the identification of the electric energy meter, which can be set based on the statistical results of historical data. For example, the identification is based on the collected electric energy meter current, and the identification standard information includes the identification range of the current; the identification is based on the electric quantity, and the identification standard information includes the identification range of the electric quantity. The identification operation information, that is, the duration of a single identification, the frequency of identification execution, the total duration of identification execution, the execution conditions of the identification (such as the status requirements for the electric energy meter), etc. The sorting data processing range, that is, the sorting data that the sub-control device can count and the scope of sorting data calculation and processing, can be manually configured, including the electric energy meter collection extreme value, the sorting data calculation extreme value, and the identification strategy extreme value. Among them, the electric energy meter collection extreme value is the extreme value for identifying the sorting data directly collected by the electric energy meter, such as voltage value, current value, electric quantity value and other data. The sorting data calculation extreme value is the extreme value for judging the result calculated according to the preset data processing method for the collected sorting data. The preset data processing may be a time domain analysis algorithm, a Fourier transform algorithm for spectrum analysis, an exponential smoothing analysis of load change trends, a data processing method based on a machine learning algorithm, etc., which are not specifically limited in the embodiments of the present invention. The identification strategy extreme value is the extreme value of the sorting data when the identification state of the electric energy meter changes or in extreme situations, such as the extreme value of the power on / off pulse, the extreme value of the zero drift, etc.

[0056] It should be noted that the sub-control device used to execute the operation strategy is a sub-control device that has completed communication verification. That is, the communication status of the sub-control device is verified before the operation strategy is distributed to ensure that the sub-control device can effectively execute the operation strategy and identify the electric energy meter, thereby ensuring the effectiveness of the electric energy meter identification.

[0057] 102. Match the operation strategy with the sorting data processing range through the main control device, generate a sub-control task, and send the sub-control task to a corresponding sub-control device.

[0058] In an embodiment of the present invention, in the main control device, for each operation strategy, the operation strategy is matched with the sorting data processing range to determine the sub-control device used to execute the current operation strategy. Specifically, the sub-control device can be matched based on the corresponding relationship between the operation strategy and the sorting data processing range, or can be matched based on the comparison result between the sorting data processing range and the identification standard information in the operation 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 operation strategy. After determining the sub-control device corresponding to each operation strategy, that is, determining the multiple operation strategies that each sub-control device can execute, the operation strategy is integrated into the sub-control task of the corresponding sub-control device, the electric energy meter pointed to by the task object is marked as the target electric 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 of different electric energy meters, the identification data collection ranges of electric energy meters are also different, and the magnitudes of the sorting data collected by the electric energy meters may be different. Therefore, they cannot be processed by the same sub-control device. By configuring different sorting data processing ranges for different sub-control devices, and then matching sub-control devices from the sub-control devices according to the operation strategy, the sub-control devices and electric energy meters can be matched from the dimension 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 collects sorted data based on the target electric energy meters marked in the sub-control task, and performs abnormality identification using the collected sorted data of at least one of the target electric energy meters.

[0061] In an embodiment of the present invention, after a sub-control device receives a sub-control task, different sub-control devices perform sorting data collection on the target electric energy meter according to the sub-control task it receives. The sub-control task carries all the target electric energy meters that need to be identified, as well as the operation strategy corresponding to the target electric energy meter. For example, the sub-control task is a list, which lists the electric energy meter information of the target electric energy meter to be identified, as well as the frequency of identification of the target electric energy meter, the identification duration, and the identification standard information used to determine whether the electric energy meter is abnormal. After the sorting data of the target electric energy meter is collected, the identification standard information performs abnormal identification on the sorting data. Among them, the identification of the abnormality can be judged based on the extreme value of the sorting data, such as if the voltage exceeds the extreme value, it is judged as abnormal; it can also be judged based on the average value of the sorting data, such as if the ratio of the maximum value of the current to the average value of the current is greater than a preset multiple, it is judged as abnormal, and the embodiment of the present invention does not make specific limitations.

[0062] It should be noted that different sub-control devices have different sub-control tasks. The same electric energy meter can be identified based on two or more sub-control devices at the same time. One sub-control device can identify multiple electric energy meters. In other words, the sub-control tasks corresponding to one sub-control device include tasks for identifying multiple electric energy meters. Electric energy meters of different types or on different transmission belts have their own corresponding operation strategies, and the electric energy meters included in different sub-control tasks may have intersections.

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

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

[0065] When the identification result of the current sub-control device does not exceed the sub-control extreme value matched by the sub-control task, the identification result of the sub-control device is synchronized to other sub-control devices, and a sub-control device is determined from the sub-control devices as the target sub-control device, and the target sub-control device integrates the identification results of the same electric energy meter at different sub-control devices. If the identification result is abnormal, but does not reach the level of identification of the electric energy meter, it may be due to data collection abnormality of a certain sub-control device. By synchronizing and integrating the identification results, the problem of inaccurate identification of a single sub-control device can be effectively avoided, thereby improving the accuracy of electric energy meter identification.

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

[0067] In the embodiment of the present invention, the ultimate goal of identifying the electric energy meter is to accurately identify the state of the electric energy meter, and to start and stop the identification of the electric energy meter according to the state of the electric energy meter, and to adjust the operation strategy. If the evaluation value of the identification result of the electric energy meter matches the preset start and stop conditions, it means that the identification of the electric energy meter is in an abnormal situation. Therefore, the operation strategy is adjusted through the target sub-control device. At this time, it can include but is not limited to the adjustment of the identification object, the identification standard information, and the adjustment of the specific object or the adjustment of the numerical content in the identification operation information. It can be output to the technician for adjustment, or the adjustment parameters can be pre-configured for adjustment. The embodiment of the present invention does not make specific limitations.

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

[0069] The task allocation list is retrieved by the main control device, and the operation strategy is matched with the sorting data processing range based on the mapping relationship in the task allocation list to generate a sub-control task.

[0070] In an embodiment of the present invention, a task allocation list is pre-constructed, and the mapping relationship between different operation strategies and different sorting data processing ranges is recorded in the task allocation list. According to the operation strategy, the sorting data processing range that the sub-control device needs to meet during the execution of the operation strategy is matched from the task allocation list. For each operation strategy, the sorting data processing range obtained by query is matched with the sorting data processing ranges of different sub-control devices to determine the sub-control device that can execute the current operation strategy. Specifically, the sub-control device whose sorting data processing range can cover the sorting data processing range obtained by query can be determined as the sub-control device that can execute the corresponding operation strategy.

[0071] When there are multiple matched sub-control devices that can execute the current operation strategy, the operation strategy will be assigned to the sub-control device with the least number of pending tasks to balance the distribution of the operation strategy among the sub-control devices. After the operation strategy allocation of all electric energy meters is completed, in order to avoid the operation strategy allocation being too dispersed, resulting in unnecessary occupation of sub-control device resources, only when the number of operation strategies allocated to the sub-control device is greater than or equal to two, it is confirmed as a sub-control task, that is, the sub-control task is used to characterize the task of sorting data corresponding to at least two electric energy meters to be collected by each of the sub-control devices. If a sub-control device has less than two pending operation strategies, the pending operation strategies of this sub-control device will be transferred to other sub-control devices that can execute this operation strategy and have more than or equal to two pending operation strategies.

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

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

[0074] In the embodiment of the present invention, the decision object is a data item in the sorting data used to determine whether the sorting data is normal. It can be one data item, such as current, power, power, etc., or a combination of two or more data items, such as current and power, power and power, power, current and power, etc. The decision duration is the data capture duration of the decision object used for decision-making, for example, capturing voltage data within 1 hour, power data within 1 day, etc. The decision method is a judgment method for identifying whether the sorting data is abnormal based on the data of the decision object within the decision duration. For example, the standard deviation, mean, etc. are calculated for the data of the decision object, and the sorting data is determined to be abnormal based on the calculation results of the standard deviation or mean. For another example, the data change curves of different decision objects within the decision duration are drawn, and the obtained multiple change curves are fitted, and the sorting data is determined to be abnormal based on the curve fitting results. For another example, the data of the decision object within the decision duration is predicted and processed using a neural network model, and the sorting data is determined to be abnormal based on the prediction processing results.

[0075] It should be noted that the decision-making method, decision-making time and specific content of the decision-making object can be determined according to the identification object, identification standard information and identification operation information in the operation strategy. Specifically, the decision-making time can be determined according to the identification operation information. For example, if the single identification operation time in the identification operation information is 20 minutes, the decision-making time is less than or equal to 20 minutes. The decision-making object can be determined according to the identification object and / or the identification standard information. For example, if the identification object is an electric energy meter in the low-voltage area, the decision-making object can be determined according to the data items corresponding to the standard data in the identification standard information; if the identification object is an electric energy meter in the high-voltage area, the decision-making object needs to include data items such as current and power used to monitor circuit safety in addition to the data items specified in the identification standard information. The decision-making method can be determined according to 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 the standard deviation threshold, the decision-making method is the 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 to other sub-control devices;

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

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

[0080] In an embodiment of the present invention, when the identification result in the sub-control device does not meet the abnormal condition of the sub-control device, the identification result (first identification result) of the current sub-control device is synchronized to other sub-control devices, and the identification results (second identification results) of other sub-control devices synchronized from other sub-control devices are obtained. Since the operation strategy of an electric energy meter is executed by at least two sub-control devices, the first identification result and the second identification result both contain identification results for the same electric energy. After the identification result synchronization between the sub-control devices is completed, the identification results stored in each sub-control device have the same coverage range for the electric energy meter, and an execution device for subsequent identification result integration, i.e., the target sub-control device, can be determined from the sub-control device. Through the target sub-control device, the identification results (third identification results) corresponding to the same electric energy meter are respectively extracted from the first identification result and the second identification result based on the identification of the electric energy meter, and the mean of the third identification result is calculated according to different data items, and the mean of different data items is added according to different weights to obtain the average value of the integrated identification result. By integrating the identification results of the same electric energy meter at different sub-control terminals, the problem of identification deviation of a single sub-control device can be avoided, and the accuracy of the electric energy meter identification results can be improved, thereby improving the accuracy of subsequent electric energy meter identifications.

[0081] It should be noted that the selection of the target sub-control device is achieved through polling, which can be either directional polling or non-directional polling. Directed polling is polling according to the pre-configured mapping relationship between different sorting and identification electric energy meters and sub-control devices. For example, the target sub-control device for sorting and identification of electric energy meter A is sub-control device a, and the target sub-control device for sorting and identification of electric energy meter B is sub-control device b. When determining the target sub-control device for sorting and identification of electric energy meter A, it can be directly determined as sub-control device a. Non-directional polling is a polling method in which the correspondence between the sorting and identification of electric energy meters and sub-control devices is not fixed. For example, a sub-control device is 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 is selected as the target sub-control device.

[0082] In one embodiment of the present invention, for further explanation and limitation, before the step of collecting the operation strategies of all electric energy meters identified by the main control device and the sorting data processing scope of the sub-control device that has completed the communication verification, the method further includes:

[0083] Sending a communication connection instruction to all sub-control devices through the main control device;

[0084] When all sub-control devices receive the communication connection instruction and match the communication protocol, communication Internet of Things identifier, communication duration condition, and communication device condition based on the sub-control device information, a communication connection response is generated and sent to the main control device;

[0085] After receiving the communication connection response, the main control device establishes a communication connection with the sub-control device corresponding to the communication connection response.

[0086] In an embodiment of the present invention, before calling a sub-control device, the main control device needs to establish a communication connection with the sub-control device to ensure timely transmission of data and instructions between the main control device and the sub-control device. The main control device performs a communication connection check on the sub-control device by sending a communication connection instruction to the sub-control device. Among them, the communication connection instruction carries the communication protocol, communication Internet of Things identifier, communication duration conditions, and communication device conditions belonging to this connection. After receiving the communication connection instruction, the sub-control device matches its own sub-control device information with the communication protocol, communication Internet of Things identifier, communication duration conditions, and communication device conditions. In the case where the sub-control device fails to match any of the information carried by the communication connection instruction, the current sub-control device does not connect to the main control device, and does not generate a communication connection response. In the case where the sub-control device successfully matches all the information carried by the communication connection instruction, the sub-control device can establish a connection with the main control device, generate a communication connection response, and feed the communication connection response back to the main control device to establish a communication connection between the two. A communication connection is established by sending a communication connection instruction to the sub-control device through the main control device, and carrying the communication protocol, communication Internet of Things identifier, communication duration conditions, and communication device conditions of this connection, so that the communication connection instruction has a sub-control device screening attribute. The user can filter the enabled sub-control devices by configuring the communication connection instruction and carrying the communication protocol, communication Internet of Things identifier, and communication duration conditions of 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 operation strategy of collecting all electric energy meter identifications through the main control device in the step, and the sorting data processing scope of the sub-control device that has completed communication verification include:

[0088] Sending a sub-control device and an electric energy meter selection instruction to the electric energy meter management platform through the main control device, so as to output all sub-device identifiers and electric energy meter identifiers in the power network on the electric energy meter management platform;

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

[0090] In an embodiment of the present invention, the selection of the electric energy meter to be identified and the sub-control device used to identify the electric energy meter, as well as the configuration of the operation strategy and the sorting data processing range of the sub-control device, can be implemented based on the human-computer interaction function of the electric energy meter management platform. The main control device can start the electric energy meter process in response to a trigger instruction or at a preset time interval. The main control device obtains the sub-control device and electric energy meter selected by the user through the electric energy meter management platform interface by sending a sub-control device electric energy meter selection instruction to the electric energy meter management platform. Specifically, the electric energy meter management platform interface can respond to the sub-control device and electric energy meter selection instruction, and display all selectable sub-control devices and electric energy meters in the form of a topological structure diagram on the user interface, so that the user can more intuitively select the electric energy meter to be identified and the sub-control device to be enabled. After determining the electric energy meter to be identified and the sub-control device used for identification, the user is prompted to enter the operation strategy of different electric energy meters and the processing range of the sorting data of the sub-control device. The operation strategy and the sorting data processing range may be a plurality of options pre-built according to the historical operation strategy and the sorting data processing range, and are displayed to the user in the form of a drop-down menu to realize quick entry of the operation strategy and the sorting data processing range.

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

[0092] If the identification result of the abnormal identification 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 uses the sorting data to perform the highest level identification on the electric energy meter.

[0093] In an embodiment of the present invention, when the appraisal result of the abnormal appraisal exceeds the sub-control extreme value matched by the sub-control task, it indicates that the sorting data of the current electric energy meter needs to increase the level of attention, and the sorting data of this electric energy meter is sent to the main control device for the highest level appraisal. The highest level appraisal is used to characterize that the appraisal authority is higher than the appraisal authority of different sub-control devices, that is, after the highest level appraisal is started for a certain electric energy meter, this electric energy meter does not accept the appraisal instructions of any other sub-control device and is only controlled by the main control device. The main control device can use the same highest level appraisal method for the sorting data as the sub-control device, or it can use a more accurate and rigorous appraisal method than the sub-control device. For example, a decision object is used in the sub-control task, and the highest level appraisal uses more decision objects than the sub-control task as the basis for judgment to appraise the sorting data.

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

[0095] The present invention provides a processing method for the operation strategy of electric energy meter sorting and identification. In the embodiment of the present invention, the main control device collects the operation strategy of all electric energy meter identification and the sorting data processing range of the sub-control device that has completed communication verification. The operation strategy includes the identification object, the identification standard information and the identification operation information. The sorting data processing range includes the electric energy meter collection extreme value, the sorting data calculation extreme value and the identification strategy extreme value. The main control device matches the operation strategy with the sorting data processing range, generates a sub-control task, and sends the sub-control task to the corresponding sub-control device. When the sub-control device After receiving the sub-control task, the control device collects sorting data based on the target electric energy meter marked in the sub-control task, and uses the collected sorting data of at least one target electric energy meter to perform abnormal identification; if the identification result of the abnormal identification 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 identification result integrated by the target sub-control device matches the preset start-stop condition, the identification instruction is sent to the electric energy meter through the target sub-control device to drive the electric energy meter to start and stop switching. This greatly reduces the situation of electric energy meter identification errors or untimely identification caused by errors in the identification equipment, greatly improves the accuracy of electric energy meter identification, and thus improves the accuracy and effectiveness of electric energy meter identification by the electric energy meter management platform.

[0096] Furthermore, as a response to the above Figure 1 The implementation of the method shown in the figure, the embodiment of the present invention provides a processing system for the operation strategy of the sorting and identification of electric energy meters, such as Figure 3 As shown, the system includes:

[0097] A main control device 31 and a plurality of sub-control devices 32 connected to the main control device;

[0098] The main control device is used to collect the operation strategies of all electric energy meters and the sorting data processing range of the sub-control devices that have completed communication verification, wherein the operation strategy includes the identification object, identification standard information and identification operation information, and the sorting data processing range includes the electric energy meter collection extreme value, the sorting data calculation extreme value and the identification strategy extreme value; match the operation strategy with the sorting data processing range, generate a sub-control task, and send the sub-control task to the corresponding sub-control device;

[0099] The sub-control device is used to, after receiving the sub-control task, perform sorting data collection based on the target electric energy meter marked in the sub-control task, and perform abnormality identification using the collected sorting data of at least one of the target electric energy meters; if the identification result of the abnormality identification does not exceed the sub-control extreme value matched by the sub-control task, then synchronize the identification results in each of the sub-control devices;

[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 instruction is sent to the electric energy meter to drive the electric energy meter to start and stop switching.

[0101] Furthermore, the main control device is specifically used to call 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 a sub-control task, wherein the task allocation list records the mapping relationship between different operation strategies and different sorting data processing ranges, and the sub-control task is used to represent the task of sorting data corresponding to at least two electric energy meters to be processed by each of the sub-control devices.

[0102] Furthermore, the sub-control device is specifically used to analyze the decision-making method, decision-making time, and decision-making object in the sub-control task, and perform abnormality identification on the sorting data according to the decision-making method, decision-making time, and 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 to other sub-control devices;

[0104] Determine a target sub-control device by polling, and extract a third identification result for the electric energy meter with the same identification from the first identification result and the second identification result by the target sub-control device;

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

[0106] Furthermore, the master control device is further used to send a communication connection instruction to all sub-control devices, wherein the communication connection instruction carries the communication protocol, communication Internet of Things identifier, communication duration conditions, and communication device conditions belonging to this connection;

[0107] The sub-control device is further configured to receive the communication connection instruction, and after matching the communication protocol, the communication Internet of Things identifier, the communication duration condition, and the communication device condition based on the sub-control device information, generate a communication connection response, and send it to the main control device;

[0108] The main control device is further configured 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 a sub-control device and an electric energy meter selection instruction to the electric energy meter management platform through the main control device, so as to output all sub-device identifiers and electric energy meter identifiers in the power network on the electric energy meter management platform;

[0110] After the user selects the electric energy meter to be identified and the sub-control device used for identification based on the electric energy meter management platform, the main control device obtains the operation strategy entered on the electric energy 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 abnormal 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 electric energy meter, and the highest level identification is used to indicate that the identification authority is higher than the identification authority of different sub-control devices.

[0113] The present invention provides a processing system for the operation strategy of electric energy meter sorting and identification. In the embodiment of the present invention, the main control device collects the operation strategy of all electric energy meter identification and the sorting data processing range of the sub-control device that has completed communication verification. The operation strategy includes the identification object, the identification standard information and the identification operation information. The sorting data processing range includes the electric energy meter collection extreme value, the sorting data calculation extreme value and the identification strategy extreme value. The main control device matches the operation strategy with the sorting data processing range, generates a sub-control task, and sends the sub-control task to the corresponding sub-control device. When the sub-control device After receiving the sub-control task, the control device collects sorting data based on the target electric energy meter marked in the sub-control task, and uses the collected sorting data of at least one target electric energy meter to perform abnormal identification; if the identification result of the abnormal identification 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 identification result integrated by the target sub-control device matches the preset start-stop condition, the identification instruction is sent to the electric energy meter through the target sub-control device to drive the electric energy meter to start and stop switching. This greatly reduces the situation of electric energy meter identification errors or untimely identification caused by errors in the identification equipment, greatly improves the accuracy of electric energy meter identification, and thus improves the accuracy and effectiveness of electric energy meter identification by the electric energy meter management platform.

[0114] Obviously, those skilled in the art should understand that the above modules or steps of the present invention can be implemented by a general computing system, they can be concentrated on a single computing system, or distributed on a network composed of multiple computing systems, and optionally, they can be implemented by a program code executable by a computing system, so that they can be stored in a storage system and executed by the computing system, and in some cases, the steps shown or described can be executed in a different order than here, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.

[0115] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for processing an operation strategy for sorting and identifying an electric energy meter, characterized in that: include: The main control device collects the operation strategy of all electric energy meter identification and the sorting data processing scope of the sub-control device that has completed communication verification. The operation strategy includes the identification object, identification standard information and identification operation information. The sorting data processing scope includes the electric energy meter collection extreme value, the sorting data calculation extreme value and the identification strategy extreme value; Matching the operation strategy with the sorting data processing range through the main control device, generating a sub-control task, and sending the sub-control task to the corresponding sub-control device; When the sub-control device receives the sub-control task, it collects sorting data based on the target electric energy meter marked in the sub-control task, and uses the collected sorting data of at least one of the target electric energy meters to perform abnormality identification; If the identification result of the abnormal identification does not exceed the sub-control extreme value matched by the sub-control task, the identification results in each of the sub-control devices 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 condition, the operation strategy is adjusted through the target sub-control device.

2. The method according to claim 1, characterized in that The matching of the operation strategy with the sorting data processing range by the main control device to generate a sub-control task includes: The task allocation list is retrieved by the main control device, and the operation strategy is matched with the sorting data processing range based on the mapping relationship in the task allocation list to generate a sub-control task, wherein the task allocation list records the mapping relationship between different operation strategies and different sorting data processing ranges, and the sub-control task is used to represent the task of sorting data corresponding to at least two electric energy meters to be processed by each of the sub-control devices.

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

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

5. The method according to claim 4, characterized in that Before the main control device collects the operation strategy of all electric energy meters for identification and the sorting data processing scope of the sub-control device that has completed communication verification, the method also includes: Sending a communication connection instruction to all sub-control devices through the master control device, wherein the communication connection instruction carries the communication protocol, communication Internet of Things identifier, communication duration conditions, and communication device conditions belonging to this connection; When all sub-control devices receive the communication connection instruction and match the communication protocol, communication Internet of Things identifier, communication duration condition, and communication device condition based on the sub-control device information, a communication connection response is generated and sent to the main control device; After receiving the communication connection response, the main control device 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 operation strategy of collecting all electric energy meter identifications through the main control device and the sorting data processing scope of the sub-control device that has completed communication verification include: Sending a sub-control device and an electric energy meter selection instruction to the electric energy meter management platform through the main control device, so as to output all sub-device identifiers and electric energy meter identifiers in the power network on the electric energy meter management platform; After the user selects the electric energy meter to be identified and the sub-control device used for identification based on the electric energy meter management platform, the main control device obtains the operation strategy entered on the electric energy 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 comprises: If the identification result of the abnormal identification 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 uses the sorting data to perform the highest level identification on the electric energy meter. The highest level identification is used to characterize that the identification authority is higher than the identification authority of different sub-control devices.

8. A processing system for operation strategy of electric energy meter sorting and identification, characterized in that: include: A main control device and a plurality of sub-control devices connected to the main control device; The main control device is used to collect the operation strategies of all electric energy meters and the sorting data processing range of the sub-control devices that have completed communication verification, wherein the operation strategy includes the identification object, identification standard information and identification operation information, and the sorting data processing range includes the electric energy meter collection extreme value, the sorting data calculation extreme value and the identification strategy extreme value; match the operation strategy with the sorting data processing range, generate a sub-control task, and send the sub-control task to the corresponding sub-control device; The sub-control device is used to, after receiving the sub-control task, perform sorting data collection based on the target electric energy meter marked in the sub-control task, and perform abnormality identification using the collected sorting data of at least one of the target electric energy meters; if the identification result of the abnormality identification does not exceed the sub-control extreme value matched by the sub-control task, then synchronize the identification results in each of the sub-control devices; 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 instruction is sent to the electric energy meter to drive the electric energy meter to start and stop switching.

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