Power transmission detection method and system for sorting and identifying electric energy meters

Abstract

The invention discloses a power transmission detection method and system for sorting and identifying an electric energy meter, relates to the technical field of power systems, and mainly aims to solve the problem that the existing power transmission detection efficiency is poor. Comprising the following steps: acquiring historical transmission duration and historical power data of a to-be-sorted electric energy meter transmission belt, and determining a transmission fluctuation time range through the historical transmission duration and the historical power data; configuring correction parameters for the to-be-transmitted power data, and predicting a transmission starting time point of the power transmission detection power data sorted and identified by the electric energy meter based on the power transmission detection correction parameters sorted and identified by the electric energy meter; if the transmission number corresponding to the transmission starting time point is greater than a preset threshold value, classifying the target electric energy meter, and adjusting the transmission starting time point for sorting and identifying the electric energy meter according to a classification result; and transmitting a transmission instruction to mechanical equipment for transmitting the power transmission detection power data sorted and identified by the electric energy meter.

Description

Technical Field

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

[0002] In the power system, the energy meter is used as a terminal power data transmission instrument to transmit the power consumption data of the power consumption terminal or the transmission node, so as to accurately analyze the power transmission situation of the power consumption terminal and the transmission node. In order to ensure the safe and correct use of the energy meter, the energy meter sorting and identification platform is usually used to sort and inspect the energy meter. For example, the energy meter is placed on the conveyor belt of the platform, and the power data of the energy meter identification is transmitted by the mechanical arms configured on both sides of the conveyor belt to complete the calibration of the energy meter.

[0003] At present, the existing mechanical arms placed on both sides of the conveyor belt upload the transmitted data to the background server of the electric energy meter sorting and identification platform through the wireless transmission module for analysis and processing, so as to perform calculation and analysis on the transmitted power data. However, since there are a large number of electric energy meters on the conveyor belt, and when the conveyor belt is transported, the mechanical arms will upload a large amount of real-time power data, generating a large amount of data flow. The electric energy meter sorting and identification platform will collect statistics on the power data collected by all mechanical equipment, which will cause excessive pressure on the system data processing. Moreover, since the data transmitted are all real-time data, it will also cause network congestion when the electric energy meter sorting and identification platform receives power data. Therefore, there is an urgent need for a power transmission detection method for electric energy meter sorting and identification to solve the above problems. Summary of the invention

[0004] In view of this, the present invention provides a method and system for detecting power transmission in electric energy meter sorting and identification, the main purpose of which is to solve the problem of poor power transmission detection efficiency in existing electric energy meter sorting and identification.

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

[0006] Obtain the historical transmission duration of the transmission belt of the electric energy meter to be sorted and the historical power data corresponding to the historical transmission duration, and determine the transmission fluctuation time range according to the historical transmission duration and the historical power data;

[0007] According to the transmission fluctuation time range, correction parameters are configured for the power data to be transmitted, and the transmission start time point of the power data is predicted based on the correction parameters, wherein the correction parameters are used to characterize the elastic time when different mechanical equipment is expected to transmit power data, and the power data is the detection content that the mechanical equipment is expected to collect power data for transmission;

[0008] If the number of transmissions corresponding to the transmission start time point is greater than a preset threshold, the target electric energy meter is classified, and the transmission start time point is adjusted according to the classification result;

[0009] A transmission instruction is sent to the mechanical device that transmits the power data, wherein the transmission instruction carries an adjusted transmission start time point to instruct the mechanical device to upload real-time power data according to the transmission start time point and detect the power data.

[0010] Further, the determining the transmission fluctuation time range by using the historical transmission duration and the historical power data includes:

[0011] The historical transmission duration is segmented based on a preset time length, and a target time length of the historical transmission duration that is not bound to power data is extracted based on the historical power data after the segmentation;

[0012] If there is a target time length in the preset time length, determining the transmission fluctuation time range based on the time boundary of the target time length;

[0013] If there are multiple target time lengths in the preset time length, the multiple target time lengths are integrated, and the transmission fluctuation time range is determined based on the time boundary of the integrated target time length.

[0014] Further, configuring correction parameters for the power data to be transmitted according to the transmission fluctuation time range includes:

[0015] When there is one target time length, calculating the correction parameter based on a first preset ratio of the target time length, the first preset ratio being less than 1;

[0016] When there are multiple target time lengths, the correction parameter is calculated based on the sum of the multiple target time lengths and a second preset ratio, where the second preset ratio is greater than 1.

[0017] Further, predicting the transmission start time point of the power data based on the correction parameter includes:

[0018] Adding the correction parameter to the transmission fluctuation time range to obtain the transmission start time point of the power data; or,

[0019] A time prediction model matching the transmission fluctuation time range is retrieved, and the correction parameters are predicted using the time prediction model to determine the transmission start time point, wherein the time prediction model is trained based on correction samples and start time samples corresponding to different transmission fluctuation time ranges.

[0020] Furthermore, the classifying of the target electric energy meters and adjusting the transmission start time point according to the classification result includes:

[0021] Obtaining the sorting and identification batch, equipment model, and identification object of the target electric energy meter, and classifying the sorting and identification batch, the equipment model, and the identification object according to batch priority, model priority, and object priority in turn to obtain the target electric energy meter with different classification results;

[0022] An adjustment value is retrieved based on a preset classification adjustment strategy, and the transmission start time point of the target electric energy meter is adjusted based on the adjustment value. The preset classification adjustment strategy is used to characterize a method for numerically adjusting the transmission start time point for different classification results.

[0023] Furthermore, the method further comprises:

[0024] If the number of transmissions corresponding to the transmission start time point is less than or equal to a preset threshold, a transmission instruction for the mechanical equipment is generated to instruct the mechanical equipment to upload real-time power data according to the transmission start time point and detect the power data.

[0025] Furthermore, the method further comprises:

[0026] Statistics are collected on the power data of the target electric energy meter, and detection is performed based on the statistical results.

[0027] According to another aspect of the present invention, a power transmission detection system for sorting and identifying electric energy meters is provided, comprising:

[0028] An acquisition module, used to acquire the historical transmission duration of the transmission belt of the electric energy meter to be sorted and the historical power data corresponding to the historical transmission duration, and determine the transmission fluctuation time range according to the historical transmission duration and the historical power data;

[0029] A prediction module, configured to configure correction parameters for the power data to be transmitted according to the transmission fluctuation time range, and to predict the transmission start time point of the power data based on the correction parameters, wherein the correction parameters are used to characterize the elastic time of the power data expected to be transmitted by different mechanical equipment;

[0030] A classification module, configured to classify the target electric energy meter if the number of transmissions corresponding to the transmission start time point is greater than a preset threshold, and adjust the transmission start time point according to the classification result;

[0031] A sending module is used to send a transmission instruction to a mechanical device that transmits the power data, wherein the transmission instruction carries an adjusted transmission start time point to instruct the mechanical device to upload real-time power data according to the transmission start time point and detect the power data.

[0032] According to another aspect of the present invention, a storage medium is provided, wherein at least one executable instruction is stored in the storage medium, and the executable instruction enables a processor to execute operations corresponding to the power transmission detection method for sorting and identifying electric energy meters as described above.

[0033] According to another aspect of the present invention, there is provided a terminal, comprising: a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus;

[0034] The memory is used to store at least one executable instruction, and the executable instruction enables the processor to execute operations corresponding to the power transmission detection method for sorting and identifying the above-mentioned electric energy meter.

[0035] By means of the above technical solution, the technical solution provided by the embodiment of the present invention has at least the following advantages:

[0036] The present invention provides a power transmission detection method and system for sorting and identifying electric energy meters. Compared with the prior art, the embodiment of the present invention obtains the historical transmission time of the transmission belt of the electric energy meter to be sorted and the historical power data corresponding to the historical transmission time, and determines the transmission fluctuation time range through the historical transmission time and the historical power data; configures correction parameters for the electric energy data to be transmitted according to the transmission fluctuation time range, and predicts the transmission start time point of the electric energy data based on the correction parameters, and the correction parameters are used to characterize the elastic time of different mechanical equipment expected to transmit electric energy data; if the number of transmissions corresponding to the transmission start time point is greater than a preset threshold, the target electric energy meter is classified, and the transmission start time point is adjusted according to the classification result; a transmission instruction is sent to the mechanical equipment transmitting the electric energy data, and the transmission instruction carries the adjusted transmission start time point to instruct the mechanical equipment to upload real-time electric energy data according to the transmission start time point, and detects the electric energy data, which greatly reduces the possibility of network congestion when the electric energy meter sorting and identification platform receives data, reduces the amount of data transmitted, and at the same time, ensures the accuracy of data transmission, thereby improving the efficiency of data transmission.

[0037] 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

[0038] 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:

[0039] Figure 1 A flow chart of a power transmission detection method for sorting and identifying electric energy meters provided by an embodiment of the present invention is shown;

[0040] Figure 2 A block diagram of a power transmission detection system for sorting and identifying electric energy meters provided by an embodiment of the present invention is shown;

[0041] Figure 3 A schematic diagram of the structure of a terminal provided by an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0042] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the 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.

[0043] The embodiment of the present invention provides a power transmission detection method for sorting and identifying an electric energy meter, such as Figure 1 As shown, the method includes:

[0044] 101. Obtain the historical transmission duration of the transmission belt of the electric energy meter to be sorted and the historical power data corresponding to the historical transmission duration, and determine the transmission fluctuation time range according to the historical transmission duration and the historical power data.

[0045] In an embodiment of the present invention, the current execution end is a background server of the sorting and identification platform, which can be a main control server or a cloud server, so as to receive the electric energy meter data collected by the mechanical equipment configured on the transmission belt of the electric energy meter to be sorted, and analyze the data, which is not specifically limited in the embodiment of the present invention. Among them, the mechanical equipment can be a mechanical arm configured on the transmission belt of the sorting electric energy meter. Since the time periods for different transmission belts of electric energy meters to be sorted to transmit to the current execution end are different, before the electric energy meter is detected, the historical transmission time corresponding to the current transmission belt of the electric energy meter to be sorted and the historical power data corresponding to the historical transmission time are retrieved. The historical transmission time can be pre-set, such as 1 hour, half an hour, etc., or it can be the running time length of the detection line corresponding to the transmission belt of the sorting electric energy meter, which is not specifically limited in the embodiment of the present invention. Furthermore, the current execution end determines the transmission fluctuation time range through the historical transmission time and historical power data. At this time, the transmission fluctuation time range is used to characterize the time range for transmitting data and stopping transmitting data when the mechanical equipment transmits power data. Different mechanical equipment has different corresponding transmission fluctuation time ranges. In addition, since each mechanical equipment transmits power data at different time points in different time periods, that is, the transmission time is a fluctuation time, which may be different every day. Therefore, it is defined by the transmission fluctuation time range, and the embodiment of the present invention does not make specific limitations.

[0046] In another embodiment of the present invention, for further definition and explanation, the step of determining the transmission fluctuation time range by the historical transmission duration and the historical power data includes:

[0047] The historical transmission duration is segmented based on a preset time length, and a target time length of the historical transmission duration that is not bound to power data is extracted based on the historical power data after the segmentation;

[0048] If there is a target time length in the preset time length, determining the transmission fluctuation time range based on the time boundary of the target time length;

[0049] If there are multiple target time lengths in the preset time length, the multiple target time lengths are integrated, and the transmission fluctuation time range is determined based on the time boundary of the integrated target time length.

[0050] In the embodiment of the present invention, in order to make the time point of data transmission more accurate, so as to meet the validity requirements of power data transmission, when the current execution end determines the transmission fluctuation time range, specifically, firstly, the historical transmission time is segmented based on the preset time length, that is, the preset time length is less than the historical transmission time length, and it can be configured based on the segmentation requirements. For example, the historical transmission time length is 10 hours, and the preset time length is 2 hours. Then, the historical transmission time length obtained after time segmentation is 5 time periods respectively, which is not specifically limited in the embodiment of the present invention. Furthermore, in order to accurately find the time when the data is not transmitted, the current execution end extracts the target time length of the power data that is not bound to the segmented historical transmission time length according to the historical power data. For example, based on all the historical power data, the time in which the power data is not recorded in the 5 time periods in the above example is searched, and the time length is counted as the target time length. For example, in all the historical power data transmitted, the first, second, third, and fifth time periods are all transmitted to the power data, and the time point a in the fourth time period is not transmitted to the power data, and the time point b starts to transmit the power data, then the corresponding time point a and time point b are used as the target time length.

[0051] It should be noted that after the current execution end determines the target time length, it integrates the transmission fluctuation time range based on the corresponding strategy according to the number of target time lengths. Specifically, when only one target time length is obtained after the historical transmission time length is segmented, the starting time point and the ending time point (i.e., the time boundary) of the target time length can be determined as the time boundary of the transmission fluctuation time range, or at least one of the starting time point and the ending time point of the target time length can be used as the time boundary of the transmission fluctuation time range after positive and negative correction. When two or more target time lengths are obtained after the historical transmission time length is segmented, the target time lengths are integrated. During the integration process, if there is a time interval between two adjacent target time lengths, and the duration of this time interval is less than or equal to the duration of the target time length with the shortest duration, the starting time point of the previous target time length is used as the starting time point after the integration of the two target time lengths, and the ending time point of the latter target time length is used as the ending time point after the integration of the two target time lengths, and then integrated with other target time lengths. When there is a time interval between two adjacent target time lengths, and the duration of this time interval is greater than the duration of the longest target time length, if one of the target time lengths is the first or last time point in all target time lengths, then this target time length will be deleted from all target time lengths; if any target time length is neither the first nor the last time point in all target time lengths, then the starting time point of the previous target time length will be used as the starting time point after the integration of the two target time lengths, and the ending time point of the next target time length will be used as the ending time point after the integration of the two target time lengths.

[0052] 102. Configure correction parameters for the power data to be transmitted according to the transmission fluctuation time range, and predict a transmission start time point of the power data based on the correction parameters.

[0053] In the embodiment of the present invention, in order to avoid data loss during the transmission process of the mechanical device, the current execution end configures a correction parameter for the mechanical device, and the correction parameter is used to characterize the elastic time of the expected transmission of power data of different mechanical devices, so that the mechanical device can transmit the power data at the most accurate time. Furthermore, after the correction parameter is configured for the transmission fluctuation time range, the transmission start time point of the mechanical device is predicted based on the correction parameter. At this time, the transmission start time point is the time when the mechanical device is finally controlled to transmit the power data, so that the mechanical device can enter sleep mode at other times to ensure the use status of the mechanical device.

[0054] In another embodiment of the present invention, for further definition and explanation, the step of configuring correction parameters for the power data to be transmitted according to the transmission fluctuation time range includes:

[0055] When there is one said target time length, calculating the correction parameter based on a first preset ratio of said target time length;

[0056] When there are multiple target time lengths, the correction parameter is calculated based on the sum of the multiple target time lengths and a second preset ratio.

[0057] In an embodiment of the present invention, when there is one target time length, the correction parameter is the product of the target time length and a first preset ratio. Wherein, the first preset ratio is less than 1, that is, the correction parameter is less than the target time length. When there are multiple target time lengths, the correction parameter is the product of the sum of all target time lengths and the second preset ratio. Wherein, the second preset ratio is greater than 1, that is, the correction parameter is greater than the sum of all target time lengths. Wherein, the specific values ​​of the first preset ratio and the second preset ratio can be customized according to actual application requirements, and the embodiment of the present invention does not make specific limitations. By configuring different preset ratios according to the number of target time lengths to calculate the corresponding correction parameters, it is possible to configure a correction parameter of a longer duration when the time length of the transmission fluctuation time range is longer; and configure a correction parameter of a shorter duration when the time length of the transmission fluctuation time range is shorter, thereby improving the adaptability of the correction parameter and improving the accuracy of the prediction of the subsequent transmission start time point.

[0058] In another embodiment of the present invention, for further definition and explanation, the step of predicting the transmission start time point of the power data based on the correction parameter includes:

[0059] Adding the correction parameter to the transmission fluctuation time range to obtain the transmission start time point of the power data; or,

[0060] A time prediction model matching the transmission fluctuation time range is retrieved, and the correction parameters are predicted using the time prediction model to determine the transmission start time point.

[0061] In the embodiment of the present invention, the transmission start time point of the power data can be determined by directly correcting the correction parameter or by model prediction. Among them, the transmission start time point of the power data is obtained by adding the correction parameter to the transmission fluctuation time range, and the correction parameter can be added to one of the boundary time points of the transmission fluctuation time range to realize the correction of a single boundary time point. That is, the starting time point of the transmission fluctuation time range is extended to an earlier time point by the duration corresponding to the correction parameter, or the end time point of the transmission fluctuation time range is extended to a later time point by the duration corresponding to the correction parameter. The overall duration of the transmission fluctuation time range can also be adjusted by the correction parameter to correct the bidirectional boundary time points of the transmission fluctuation time range. That is, the starting time point and the end time point of the transmission fluctuation time range are adjusted to both sides to determine that the adjusted transmission fluctuation time range is equal to the sum of the initial transmission fluctuation time range and the correction parameter. The embodiment of the present invention does not specifically limit the addition method of the correction parameter and the transmission fluctuation time range.

[0062] The model prediction method predicts the correction parameters through a time prediction model that matches the transmission fluctuation time range to determine the transmission start time point of the power data. The time prediction model is trained based on the correction samples and start time samples corresponding to different transmission fluctuation time ranges, and can predict the transmission start time points corresponding to different correction parameters under different transmission fluctuation time ranges. The time prediction model can be a model that can be used for classification prediction, such as a gated recurrent unit (GRU), a multilayer perceptron (MLP), etc.

[0063] It should be noted that the two methods of determining the transmission start time point of the power data, namely, direct correction by correction parameters or model prediction, can be determined according to the needs of specific application scenarios. For example, when the time span of the transmission fluctuation time range is large, the method of direct correction by correction parameters can be adopted; when the time span of the transmission fluctuation time range is large, the method of model prediction can be adopted, which is not specifically limited in the embodiment of the present invention. Determining the transmission start time point of the power data by two optional methods can meet the needs of different application scenarios, thereby improving the adaptability to different scenarios.

[0064] 103. If the number of transmissions corresponding to the transmission start time point is greater than a preset threshold, the target electric energy meter is classified, and the transmission start time point is adjusted according to the classification result.

[0065] In an embodiment of the present invention, in order to avoid too many mechanical devices uploading data in the same time period, the current execution end calculates the number of mechanical devices corresponding to the same transmission start time point and compares it with the preset threshold. At this time, the preset threshold can be configured based on the system processing capacity of the current execution end, including but not limited to 100, 200, etc., and the embodiment of the present invention does not make specific restrictions. When the number of statistics is greater than the preset threshold, the current execution end classifies the target electric energy meters sorted by the mechanical devices at the same transmission start time point, so as to adjust the transmission start time point of the corresponding mechanical devices according to the classification results, so as to avoid uploading too much power data at the same time.

[0066] In another embodiment of the present invention, for further definition and explanation, the step of classifying the target electric energy meter and adjusting the transmission start time point according to the classification result includes:

[0067] Obtaining the sorting and identification batch, equipment model, and identification object of the target electric energy meter, and classifying the sorting and identification batch, the equipment model, and the identification object according to batch priority, model priority, and object priority in turn to obtain the target electric energy meter with different classification results;

[0068] An adjustment value is retrieved based on a preset classification adjustment strategy, and the transmission start time point of the target electric energy meter is adjusted based on the adjustment value.

[0069] In an embodiment of the present invention, the transmission start time point is adjusted based on the classification results of the target electric energy meters sorted by the mechanical equipment and the preset classification adjustment strategy. In this process, first, the target electric energy meters are classified according to the sorting and identification batches, equipment models, and identification objects of the target electric energy meters. Among them, the identification batch is the identification batch corresponding to the target electric energy meter, the equipment model is the model information of the target electric energy meter, and the identification object is the item to be detected on the target electric energy meter. Different sorting and identification batches, equipment models, and identification objects are pre-configured with different priorities, which can be defined by the user according to actual production needs. According to the priorities of the identification batches, equipment models, and identification objects of the target electric energy meters sorted by the current mechanical equipment, a priority coefficient is obtained, and the target electric energy meters can be classified into different categories such as Class I, Class II, and Class III according to the priority coefficient. For example, if the identification batch priority of the target electric energy meter is 1, the equipment model priority is 2, and the identification object priority is 1, then the priority coefficient is 4, and the corresponding target electric energy meter is classified as Class I; if the identification batch priority of the target electric energy meter is 2, the equipment model priority is 2, and the identification object priority is 2, then the priority coefficient is 6, and the corresponding target electric energy meter is classified as Class II. Among them, the preset classification adjustment strategy is used to characterize the method of numerical adjustment of the transmission start time point for different classification results. For example, the adjustment value of the transmission start time point of Class I target electric energy meter is zero or negative value (characterizing advance), the adjustment value of the transmission start time point of Class II target electric energy meter is 5 minutes backward delay, and the adjustment value of the transmission start time point of Class III target electric energy meter is 15 minutes backward delay. The larger the sum of the priorities, the lower the priority of the representation, and the longer the delay time of the numerical adjustment of the transmission start time point. Conversely, the smaller the sum of the priorities, the higher the priority of the representation, and the transmission start time point can be kept unchanged, or the transmission start time point can be adjusted forward to disperse the data transmission time of the power data while meeting the timeliness requirements of power data transmission, thereby improving data transmission efficiency.

[0070] 104. Send a transmission instruction to a mechanical device that transmits the power data.

[0071] In the embodiment of the present invention, after the current execution end adjusts the transmission start time point, a transmission instruction for each mechanical device is generated, that is, the transmission instruction carries the adjusted transmission start time point to instruct the mechanical device to upload real-time power data according to the transmission start time point. Since the transmission start time point is predicted based on the correction parameters and adjusted based on the classification results of the mechanical device, the balance of the power data transmission in the transmission time is fully considered, and the network congestion can be avoided when the electric energy meter sorting and identification platform receives data, thereby ensuring the smoothness and efficiency of power data transmission.

[0072] In another embodiment of the present invention, for further definition and description, the steps further include:

[0073] If the number of transmissions corresponding to the transmission start time point is less than or equal to a preset threshold, a transmission instruction for the mechanical equipment is generated to instruct the mechanical equipment to upload real-time power data according to the transmission start time point and detect the power data.

[0074] In an embodiment of the present invention, when the number of transmissions corresponding to the transmission start time point is less than or equal to the preset threshold, that is, the number of mechanical devices performing data transmission at the same time point is less than or equal to the preset threshold. At this time, it can be determined that the distribution of the transmission start time points of different mechanical devices is relatively reasonable, and each mechanical device can upload real-time power data according to the current transmission start time point. After receiving the power data uploaded by each mechanical device according to the corresponding transmission start time point, the current execution end performs power meter detection based on the power data.

[0075] In another embodiment of the present invention, for further definition and description, the steps further include:

[0076] Statistics are collected on the power data of the target electric energy meter, and detection is performed based on the statistical results.

[0077] In the embodiment of the present invention, the detection content includes metering performance verification, electrical safety detection, electromagnetic compatibility (EMC) detection, etc. The corresponding power data includes current data, voltage data, and load data output by the target electric energy meter for metering performance verification; high voltage test data, insulation resistance test data, ground resistance test data, and leakage current test data for electrical safety detection; and electrostatic discharge immunity test data and electrical fast transient pulse group immunity test data for electromagnetic compatibility (EMC) detection. After the current execution end receives the power data corresponding to each target electric energy meter, it performs statistics from the target electric energy meter dimension (all power data of the same target electric energy meter) and the test item dimension (power data of the same test item corresponding to different target electric energy meters) respectively, so as to perform detection based on statistical data of different dimensions. The target electric energy meter dimension mainly determines the detection result of the target electric energy meter according to the abnormal data items in the statistical data. The test item dimension is mainly used to determine the detection abnormality of the target electric energy meter according to the difference between a certain test data of each target electric energy meter and the average value of all target electric energy meters if the difference exceeds the abnormality.

[0078] 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 power transmission detection system for sorting and identifying electric energy meters, such as Figure 2 As shown, the system includes:

[0079] An acquisition module 21 is used to acquire the historical transmission duration of the transmission belt of the electric energy meter to be sorted and the historical power data corresponding to the historical transmission duration, and determine the transmission fluctuation time range according to the historical transmission duration and the historical power data;

[0080] A prediction module 22, configured to configure correction parameters for the power data to be transmitted according to the transmission fluctuation time range, and to predict the transmission start time point of the power data based on the correction parameters, wherein the correction parameters are used to characterize the elastic time of the power data transmission expected by different mechanical equipment;

[0081] A classification module 23, configured to classify the target electric energy meter if the number of transmissions corresponding to the transmission start time point is greater than a preset threshold, and adjust the transmission start time point according to the classification result;

[0082] The sending module 24 is used to send a transmission instruction to the mechanical equipment that transmits the power data. The transmission instruction carries an adjusted transmission start time point to instruct the mechanical equipment to upload real-time power data according to the transmission start time point and detect the power data.

[0083] Furthermore, the acquisition module 21 includes:

[0084] A segmentation unit, configured to segment the historical transmission duration into time segments based on a preset time length, and extract a target time length of the historical transmission duration after segmentation that is not bound to power data based on the historical power data;

[0085] a determining unit, configured to determine a transmission fluctuation time range based on a time boundary of the target time length if there is a target time length in the preset time length;

[0086] An integration unit is used to integrate the multiple target time lengths if there are multiple target time lengths in the preset time length, and determine the transmission fluctuation time range based on the time boundary of the integrated target time length.

[0087] Furthermore, the prediction module 22 includes:

[0088] A first calculation unit, configured to calculate a correction parameter based on a first preset ratio of the target time length when there is one target time length, the first preset ratio being less than 1;

[0089] The second calculation unit is used to calculate the correction parameter based on the sum of the multiple target time lengths and a second preset ratio when there are multiple target time lengths, and the second preset ratio is greater than 1.

[0090] Furthermore, the prediction module 32 includes:

[0091] a third calculation unit, configured to add the correction parameter to the transmission fluctuation time range to obtain a transmission start time point of the power data; or

[0092] A prediction unit is used to call a time prediction model that matches the transmission fluctuation time range, and use the time prediction model to predict the correction parameters to determine the transmission starting time point, wherein the time prediction model is trained based on correction samples and start time samples corresponding to different transmission fluctuation time ranges.

[0093] Furthermore, the classification includes:

[0094] an acquisition unit, used for acquiring the sorting and identification batch, the equipment model, and the identification object of the target electric energy meter, and classifying the sorting and identification batch, the equipment model, and the identification object according to the batch priority, the model priority, and the object priority in turn to obtain the target electric energy meter with different classification results;

[0095] The adjustment unit is used to retrieve the adjustment value based on a preset classification adjustment strategy, and adjust the transmission start time point of the target electric energy meter based on the adjustment value. The preset classification adjustment strategy is used to characterize the method of numerically adjusting the transmission start time point for different classification results.

[0096] Furthermore, the device also includes:

[0097] A generating device is used to generate a transmission instruction for the mechanical equipment if the number of transmissions corresponding to the transmission starting time point is less than or equal to a preset threshold, so as to instruct the mechanical equipment to upload real-time power data according to the transmission starting time point and detect the power data.

[0098] Furthermore, the device also includes:

[0099] The detection module is used to collect statistics on the power data of the target electric energy meter and perform detection based on the statistical results.

[0100] The present invention provides an electric power transmission detection system for sorting and identifying electric power meters. Compared with the prior art, the embodiment of the present invention obtains the historical transmission time of the transmission belt of the electric power meter to be sorted and the historical power data corresponding to the historical transmission time, and determines the transmission fluctuation time range through the historical transmission time and the historical power data; configures correction parameters for the electric power data to be transmitted according to the transmission fluctuation time range, and predicts the transmission start time point of the electric power data based on the correction parameters, and the correction parameters are used to characterize the elastic time of different mechanical equipment expected to transmit electric power data; if the number of transmissions corresponding to the transmission start time point is greater than a preset threshold, the target electric power meter is classified, and the transmission start time point is adjusted according to the classification result; a transmission instruction is sent to the mechanical equipment transmitting the electric power data, and the transmission instruction carries the adjusted transmission start time point to instruct the mechanical equipment to upload real-time electric power data according to the transmission start time point, and detects the electric power data, which greatly reduces the possibility of network congestion when the electric power meter sorting and identification platform receives data, reduces the amount of data transmitted, and at the same time, ensures the accuracy of data transmission, thereby improving the efficiency of data transmission.

[0101] According to one embodiment of the present invention, a storage medium is provided, wherein the storage medium stores at least one executable instruction, and the computer executable instruction can execute the power transmission detection method for electric energy meter sorting and identification in any of the above method embodiments.

[0102] Figure 3 A schematic diagram of the structure of a terminal provided according to an embodiment of the present invention is shown. The specific embodiment of the present invention does not limit the specific implementation of the terminal.

[0103] like Figure 3 As shown, the terminal may include: a processor (processor) 302 , a communication interface (Communications Interface) 304 , a memory (memory) 306 , and a communication bus 308 .

[0104] The processor 302 , the communication interface 304 , and the memory 306 communicate with each other via the communication bus 308 .

[0105] The communication interface 304 is used to communicate with other devices such as clients or other servers.

[0106] The processor 302 is used to execute the program 310, and specifically can execute the relevant steps in the above-mentioned embodiment of the power transmission detection method for sorting and identifying the electric energy meter.

[0107] Specifically, the program 310 may include program codes, which include computer operation instructions.

[0108] The processor 302 may be a central processing unit (CPU), or an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiment of the present invention. The one or more processors included in the terminal may be processors of the same type, such as one or more CPUs; or processors of different types, such as one or more CPUs and one or more ASICs.

[0109] The memory 306 is used to store the program 310. The memory 306 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0110] The program 310 may be specifically configured to enable the processor 302 to perform the following operations:

[0111] Obtain the historical transmission duration of the transmission belt of the electric energy meter to be sorted and the historical power data corresponding to the historical transmission duration, and determine the transmission fluctuation time range according to the historical transmission duration and the historical power data;

[0112] configuring correction parameters for the power data to be transmitted according to the transmission fluctuation time range, and predicting the transmission start time point of the power data based on the correction parameters, wherein the correction parameters are used to characterize the elastic time of the power data expected to be transmitted by different mechanical equipment;

[0113] If the number of transmissions corresponding to the transmission start time point is greater than a preset threshold, the target electric energy meter is classified, and the transmission start time point is adjusted according to the classification result;

[0114] A transmission instruction is sent to the mechanical device that transmits the power data, wherein the transmission instruction carries an adjusted transmission start time point to instruct the mechanical device to upload real-time power data according to the transmission start time point and detect the power data.

[0115] 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.

[0116] 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 power transmission detection method for sorting and identifying electric energy meters, characterized in that: include: Obtain the historical transmission duration of the transmission belt of the electric energy meter to be sorted and the historical power data corresponding to the historical transmission duration, and determine the transmission fluctuation time range according to the historical transmission duration and the historical power data; According to the transmission fluctuation time range, correction parameters are configured for the power data to be transmitted, and the transmission start time point of the power data is predicted based on the correction parameters, wherein the correction parameters are used to characterize the elastic time when different mechanical equipment is expected to transmit power data, and the power data is the detection content that the mechanical equipment is expected to collect power data for transmission; If the number of transmissions corresponding to the transmission start time point is greater than a preset threshold, the target electric energy meter is classified, and the transmission start time point is adjusted according to the classification result; A transmission instruction is sent to the mechanical device that transmits the power data, wherein the transmission instruction carries an adjusted transmission start time point to instruct the mechanical device to upload real-time power data according to the transmission start time point and detect the power data.

2. The method according to claim 1, characterized in that The determining of the transmission fluctuation time range by using the historical transmission duration and the historical power data includes: The historical transmission duration is segmented based on a preset time length, and a target time length of the historical transmission duration that is not bound to power data is extracted based on the historical power data after the segmentation; If there is a target time length in the preset time length, determining the transmission fluctuation time range based on the time boundary of the target time length; If there are multiple target time lengths in the preset time length, the multiple target time lengths are integrated, and the transmission fluctuation time range is determined based on the time boundary of the integrated target time length.

3. The method according to claim 2, characterized in that The configuring correction parameters for the power data to be transmitted according to the transmission fluctuation time range includes: When there is one target time length, calculating the correction parameter based on a first preset ratio of the target time length, the first preset ratio being less than 1; When there are multiple target time lengths, the correction parameter is calculated based on the sum of the multiple target time lengths and a second preset ratio, where the second preset ratio is greater than 1.

4. The method according to claim 3, characterized in that The predicting the transmission start time point of the power data based on the correction parameter comprises: Adding the correction parameter to the transmission fluctuation time range to obtain the transmission start time point of the power data; or, A time prediction model matching the transmission fluctuation time range is retrieved, and the correction parameters are predicted using the time prediction model to determine the transmission start time point, wherein the time prediction model is trained based on correction samples and start time samples corresponding to different transmission fluctuation time ranges.

5. The method according to claim 4, characterized in that The classifying the target electric energy meter and adjusting the transmission start time point according to the classification result includes: Obtaining the sorting and identification batch, equipment model, and identification object of the target electric energy meter, and classifying the sorting and identification batch, the equipment model, and the identification object according to batch priority, model priority, and object priority in turn to obtain the target electric energy meter with different classification results; An adjustment value is retrieved based on a preset classification adjustment strategy, and the transmission start time point of the target electric energy meter is adjusted based on the adjustment value. The preset classification adjustment strategy is used to characterize a method for numerically adjusting the transmission start time point for different classification results.

6. The method according to any one of claims 1 to 5, characterized in that: The method further comprises: If the number of transmissions corresponding to the transmission start time point is less than or equal to a preset threshold, a transmission instruction for the mechanical equipment is generated to instruct the mechanical equipment to upload real-time power data according to the transmission start time point and detect the power data.

7. The method according to claim 1, characterized in that The method further comprises: Statistics are collected on the power data of the target electric energy meter, and detection is performed based on the statistical results.

8. A power transmission detection system for sorting and identifying electric energy meters, characterized in that: include: An acquisition module, used to acquire the historical transmission duration of the transmission belt of the electric energy meter to be sorted and the historical power data corresponding to the historical transmission duration, and determine the transmission fluctuation time range according to the historical transmission duration and the historical power data; A prediction module, configured to configure correction parameters for the power data to be transmitted according to the transmission fluctuation time range, and to predict the transmission start time point of the power data based on the correction parameters, wherein the correction parameters are used to characterize the elastic time of the power data expected to be transmitted by different mechanical equipment; A classification module, configured to classify the target electric energy meter if the number of transmissions corresponding to the transmission start time point is greater than a preset threshold, and adjust the transmission start time point according to the classification result; A sending module is used to send a transmission instruction to a mechanical device that transmits the power data. The transmission instruction carries an adjusted transmission start time point to instruct the mechanical device to upload real-time power data according to the transmission start time point and detect the power data.

9. A storage medium storing at least one executable instruction, wherein the executable instruction enables a processor to execute operations corresponding to the power transmission detection method for sorting and identifying an electric energy meter as described in any one of claims 1 to 7.

10. A terminal, comprising: A processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus; The memory is used to store at least one executable instruction, and the executable instruction enables the processor to perform operations corresponding to the power transmission detection method for sorting and identifying electric energy meters as described in any one of claims 1-7.

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