A method, apparatus, device and medium for electric loss monitoring of an electric energy meter

Abstract

The application relates to the field of electric energy meter monitoring, in particular to an electric loss monitoring method and device for an electric energy meter, equipment and a medium. The method comprises the following steps: acquiring electric energy information and equipment information, calibrating and analyzing the electric energy information to obtain calibrated electric energy information, performing electric energy cycle analysis on the equipment information to obtain application demand and application time, acquiring electric energy specification information, performing electric energy data analysis on the electric energy information according to unit time to obtain electric energy data, judging whether the electric energy data conforms to an application electric range, if not, performing difference calculation on the maximum value of the electric energy data and the application electric range to obtain an electric energy difference value, judging whether the electric energy difference value conforms to a preset electric energy difference value range, if not, determining a non-electric energy consumption equipment corresponding to the electric energy data and an electric energy time corresponding to the non-electric energy consumption equipment, and generating an electric energy consumption warning information based on the non-electric energy consumption equipment and the electric energy time, so that the electric energy efficiency of each factory is further improved.

Description

Technical Field

[0001] This application relates to the field of electricity meter monitoring, and in particular to a method, apparatus, equipment and medium for monitoring the electrical loss of electricity meters. Background Technology

[0002] With rapid economic development, factories across all industries are increasingly demanding electricity, and the uneven distribution of electricity consumption at different times is becoming increasingly serious. To alleviate the increasingly acute contradiction between electricity supply and demand, regulate the load curve, and improve the uneven distribution of electricity consumption, a time-of-use pricing system based on peak, flat, and valley periods is being fully implemented to "shave peaks and fill valleys," improve the electricity efficiency of factories, and make rational use of electricity resources.

[0003] Currently, in most parts of my country, the widely used type is the traditional induction-type electricity meter, which only has the function of measuring current electricity consumption and cannot identify whether there is unnecessary power consumption by the current electrical equipment, i.e., no power loss. Thus, it occupies electricity while wasting unnecessary power loss and reducing power efficiency. Summary of the Invention

[0004] To further improve the power efficiency of various factories, this application provides a method, device, equipment and medium for monitoring power loss in electricity meters.

[0005] In a first aspect, this application provides a method for monitoring electrical loss in an electricity meter, employing the following technical solution:

[0006] A method for monitoring power loss in an electricity meter, comprising:

[0007] Obtain electricity consumption information and equipment information, wherein the electricity consumption information is the energy consumption information corresponding to different electrical devices, and the equipment information is the application cycle information of different electrical devices;

[0008] The electricity consumption information is calibrated and analyzed to obtain calibrated electricity consumption information;

[0009] The power consumption cycle analysis of the equipment information is performed to obtain the application requirements of each power-consuming device under different cycle environments and the application time corresponding to the application requirements;

[0010] Obtain the power consumption specification information of each of the electrical devices, and determine the application power range of each of the electrical devices at different times based on the power consumption specification information, the application requirements, and the application time;

[0011] The electricity consumption information is analyzed according to the unit time to obtain the electricity consumption data of each electrical device at different time periods;

[0012] Determine whether the electricity consumption data conforms to the applicable electricity range. If not, calculate the difference between the electricity consumption data and the maximum value of the applicable electricity range to obtain the electricity consumption difference.

[0013] Determine whether the power consumption difference meets the preset power consumption difference range. If it does not meet the preset range, determine the power-free device corresponding to the power consumption data and the power consumption time corresponding to the power-free device, and generate power consumption warning information based on the power-free device and the power consumption time.

[0014] In another possible implementation, historical work information is obtained, which is used to represent the changes in the electricity meter readings of different electrical devices under different power states within a historical time period, as well as the duration of each change in the electricity meter reading.

[0015] The electricity meter's electricity billing standard and metering data are determined based on the electricity consumption information.

[0016] Data analysis is performed on the historical working information to obtain metering node information and metering calibration values ​​corresponding to the metering node information. The metering node information is used to represent the meter readings of the electricity meter at preset intervals. Based on the metering node information and the metering calibration values, the electricity billing standard is updated to obtain the node metering standard.

[0017] The metering data is calibrated based on the metering nodes in the node metering standard to obtain calibrated electricity consumption information.

[0018] In another possible implementation, the step of performing data analysis on the historical work information to obtain metering node information and the metering calibration value corresponding to the metering node information includes:

[0019] Retrieve the first and second measurement information from the historical work information;

[0020] The first metering information includes: a first numerical range and a first metering duration corresponding to the first numerical range. The first numerical range is used to represent the range of values ​​for metering different types of electrical equipment when the electricity meter is used for the first time. The first metering duration is used to represent the metering duration when the electricity meter first meters different types of electrical equipment.

[0021] The second metering information includes: a second numerical range and a second metering duration corresponding to the second numerical range. The second numerical range is used to represent the numerical range for metering electricity charges for different types of electrical equipment when the electricity meter is not used for the first time. The second metering duration is used to represent the metering duration when the electricity meter is not used for the first time for metering electricity charges for different types of electrical equipment.

[0022] Based on the first numerical range, the first metering data corresponding to the operating states of different types of electrical equipment at different operating power is determined, and the first metering duration and the first metering data are planned according to the metering time points to obtain the first metering information.

[0023] Based on the first numerical range, second metering data corresponding to the operating states of different types of electrical equipment at different operating power are determined, and the second metering duration and the second metering data are planned according to the metering time points to obtain second metering information;

[0024] The first metering information and the second metering information are integrated and averaged according to the same operating power of the electrical equipment to obtain metering node information and the metering calibration value corresponding to the metering node information.

[0025] In another possible implementation, updating the electricity metering standard based on the metering node information and the metering calibration value to obtain the node metering standard includes:

[0026] Based on the electricity metering standard, determine the initial metering value that corresponds to the metering node information;

[0027] The initial measurement value is updated based on the measurement calibration value to obtain the node measurement standard.

[0028] In another possible implementation, the step of updating the initial metrological value based on the metrological calibration value to obtain the node metrological standard further includes:

[0029] The difference between the calibration correction value and the initial calibration value is calculated to obtain the calibration difference.

[0030] Determine whether the calibration difference meets the preset calibration value. If it does not, generate meter abnormality information.

[0031] In another possible implementation, the step of determining whether the calibration difference conforms to a preset calibration value further includes:

[0032] If the calibration difference meets the preset calibration value, then future working information is obtained. The future working information is used to represent the application information of different electrical devices under different power states in a future period.

[0033] Based on the future work information, the historical work information, and the metering node information, the calibration difference is predicted to obtain the future calibration difference within the future period.

[0034] The system detects the time points at which the future calibration difference does not conform to the preset calibration value, and generates expected anomaly information based on the time points.

[0035] In another possible implementation, the step of predicting the calibration difference based on the future work information, the historical work information, and the metering node information to obtain the future calibration difference within the future period includes: performing unsupervised time series data processing on the historical work information based on the metering node information and the metering calibration values ​​corresponding to the metering node information to obtain the first calibration matrix data;

[0036] The first calibration matrix data is input into the trained calibration model for vector feature extraction to obtain the number of calibration feature dimensions. The obtained number of calibration feature dimensions is then combined with the first calibration matrix data to generate the second calibration matrix data.

[0037] The data contained in the second calibration matrix data is processed to obtain comprehensive calibration data, and the obtained comprehensive calibration data is input into a preset algorithm model for data extrapolation to generate the calibration difference of the energy meter in the future period time.

[0038] The future calibration difference is obtained by matching the electrical equipment and its power status in the future work information with the electrical equipment and its power status in the historical work information.

[0039] Secondly, this application provides a power loss monitoring device for electricity meters, which adopts the following technical solution:

[0040] A power loss monitoring device for an electricity meter, comprising:

[0041] The information acquisition module is used to acquire electricity consumption information and equipment information. The electricity consumption information is the energy consumption information corresponding to different electrical devices, and the equipment information is the application cycle information of different electrical devices.

[0042] The information analysis module is used to perform calibration analysis on the electricity consumption information to obtain calibrated electricity consumption information;

[0043] The cycle analysis module is used to perform power consumption cycle analysis on the equipment information to obtain the application requirements of each power-consuming device under different cycle environments and the application time corresponding to the application requirements.

[0044] The specification acquisition module is used to acquire the power consumption specification information of each of the electrical devices, and determine the application power range of each of the electrical devices at different times based on the power consumption specification information, the application requirements and the application time.

[0045] The electricity consumption analysis module is used to analyze the electricity consumption information according to the unit time to obtain the electricity consumption data of each electrical device at different time periods;

[0046] The electricity consumption judgment module is used to determine whether the electricity consumption data conforms to the application electricity range. If it does not conform, the difference between the electricity consumption data and the maximum value of the application electricity range is calculated to obtain the electricity consumption difference.

[0047] The difference judgment module is used to determine whether the power consumption difference meets the preset power consumption difference range. If it does not meet the range, it determines the power-consuming device and the power consumption time corresponding to the power consumption data, and generates power consumption warning information based on the power-consuming device and the power consumption time.

[0048] In one possible implementation, when the information analysis module performs calibration analysis on the electricity consumption information to obtain calibrated electricity consumption information, it is specifically used for:

[0049] Obtain historical work information, which is used to represent the changes in the electricity meter readings of different electrical devices under different power states within a historical time period, as well as the duration of each change in the electricity meter reading.

[0050] The electricity meter's electricity billing standard and metering data are determined based on the electricity consumption information.

[0051] Data analysis is performed on the historical working information to obtain metering node information and metering calibration values ​​corresponding to the metering node information. The metering node information is used to represent the meter readings of the electricity meter at preset intervals. Based on the metering node information and the metering calibration values, the electricity billing standard is updated to obtain the node metering standard.

[0052] The metering data is calibrated based on the metering nodes in the node metering standard to obtain calibrated electricity consumption information.

[0053] In another possible implementation, when the information analysis module performs data analysis on the historical work information to obtain the metering node information and the metering calibration value corresponding to the metering node information, it is specifically used for:

[0054] Retrieve the first and second measurement information from the historical work information;

[0055] The first metering information includes: a first numerical range and a first metering duration corresponding to the first numerical range. The first numerical range is used to represent the range of values ​​for metering different types of electrical equipment when the electricity meter is used for the first time. The first metering duration is used to represent the metering duration when the electricity meter first meters different types of electrical equipment.

[0056] The second metering information includes: a second numerical range and a second metering duration corresponding to the second numerical range. The second numerical range is used to represent the numerical range for metering electricity charges for different types of electrical equipment when the electricity meter is not used for the first time. The second metering duration is used to represent the metering duration when the electricity meter is not used for the first time for metering electricity charges for different types of electrical equipment.

[0057] Based on the first numerical range, the first metering data corresponding to the operating states of different types of electrical equipment at different operating power is determined, and the first metering duration and the first metering data are planned according to the metering time points to obtain the first metering information.

[0058] Based on the first numerical range, second metering data corresponding to the operating states of different types of electrical equipment at different operating power are determined, and the second metering duration and the second metering data are planned according to the metering time points to obtain second metering information;

[0059] The first metering information and the second metering information are integrated and averaged according to the same operating power of the electrical equipment to obtain metering node information and the metering calibration value corresponding to the metering node information.

[0060] In another possible implementation, when the information analysis module updates the electricity metering standard based on the metering node information and the metering calibration value to obtain the node metering standard, it is specifically used for:

[0061] Based on the electricity metering standard, determine the initial metering value that corresponds to the metering node information;

[0062] The initial measurement value is updated based on the measurement calibration value to obtain the node measurement standard.

[0063] In another possible implementation, the device further includes: a calibration calculation module and a difference judgment module, wherein,

[0064] The calibration calculation module is used to calculate the difference between the metering correction value and the metering initial value to obtain the calibration difference; the difference judgment module is used to determine whether the calibration difference meets the preset calibration value. If it does not meet the preset calibration value, an abnormal meter information is generated.

[0065] In another possible implementation, the device further includes: a future acquisition module, a difference prediction module, and an anomaly generation module, wherein,

[0066] The future acquisition module is used to acquire future working information when the calibration difference meets the preset calibration value. The future working information is used to represent the application information of different electrical devices under different power states in a future period.

[0067] The difference prediction module is used to predict the calibration difference based on the future working information, the historical working information, and the metering node information, so as to obtain the future calibration difference within the future period.

[0068] The anomaly generation module is used to detect the time point when the future calibration difference does not conform to the preset calibration value, and generate expected anomaly information based on the time point.

[0069] In another possible implementation, when the difference prediction module predicts the calibration difference based on the future working information, the historical working information, and the metering node information to obtain the future calibration difference within the future period, it is specifically used for:

[0070] Based on the metering node information and the metering calibration values ​​corresponding to the metering node information, the historical work information is processed into unsupervised time series data to obtain the first calibration matrix data.

[0071] The first calibration matrix data is input into the trained calibration model for vector feature extraction to obtain the number of calibration feature dimensions. The obtained number of calibration feature dimensions is then combined with the first calibration matrix data to generate the second calibration matrix data.

[0072] The data contained in the second calibration matrix data is processed to obtain comprehensive calibration data, and the obtained comprehensive calibration data is input into a preset algorithm model for data extrapolation to generate the calibration difference of the energy meter in the future period time.

[0073] The future calibration difference is obtained by matching the electrical equipment and its power status in the future work information with the electrical equipment and its power status in the historical work information.

[0074] Thirdly, this application provides an electronic device that adopts the following technical solution:

[0075] An electronic device comprising:

[0076] At least one processor;

[0077] Memory;

[0078] At least one application, wherein the at least one application is stored in memory and configured to be executed by at least one processor, the at least one application being configured to: execute the above-described method for monitoring power loss for an electricity meter.

[0079] Fourthly, a computer-readable storage medium is provided, the storage medium storing at least one instruction, at least one program, code set, or instruction set, wherein the at least one instruction, at least one program, code set, or instruction set is loaded and executed by a processor to implement a method for monitoring electricity loss in an electricity meter as shown in any possible implementation of the first aspect.

[0080] In summary, this application includes at least one of the following beneficial technical effects:

[0081] This application provides a method, apparatus, device, and medium for monitoring the power loss of an electricity meter. Compared with related technologies, in this application, when monitoring the power loss of electrical equipment for an electricity meter, power consumption information and equipment information are obtained. The power consumption information includes energy consumption information corresponding to different electrical devices, and the equipment information includes application cycle information for different electrical devices. The power consumption information is calibrated and analyzed to obtain calibrated power consumption information. Then, the equipment information undergoes power cycle analysis to obtain the application requirements of each electrical device under different cycle environments and the corresponding application time. Finally, the power consumption specification information of each electrical device is obtained, and based on the power consumption specification information and application... The demand and application time determine the application range of each electrical device at different times. Then, the power consumption information is analyzed by unit time to obtain the power consumption data of each electrical device at different times. Then, it is determined whether the power consumption data conforms to the application range. If not, the difference between the power consumption data and the maximum value of the application range is calculated to obtain the power consumption difference. Then, it is determined whether the power consumption difference conforms to the preset power consumption difference range. If not, the corresponding non-power-consuming devices and the corresponding power consumption time of the non-power-consuming devices are determined. Based on the non-power-consuming devices and the power consumption time, power consumption warning information is generated, thereby improving the power efficiency of each factory. Attached Figure Description

[0082] Figure 1 This is a flowchart illustrating a method for monitoring the power loss of an electricity meter according to an embodiment of this application.

[0083] Figure 2 This is a block diagram of an energy loss monitoring device for an electricity meter according to an embodiment of this application;

[0084] Figure 3 This is a schematic diagram of an electronic device according to an embodiment of this application. Detailed Implementation

[0085] The following is in conjunction with the appendix Figure 1-3 This application will be described in further detail.

[0086] After reading this specification, those skilled in the art may make modifications to this embodiment without contributing any inventive step, but such modifications are protected by patent law as long as they fall within the scope of the claims of this application.

[0087] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0088] Furthermore, the term "and / or" in this document merely describes the relationship between related objects, indicating that three relationships can exist. For example, "a method, device, equipment, and medium for monitoring the power loss of an electricity meter and / or B" can represent: the existence of a method, device, equipment, and medium for monitoring the power loss of an electricity meter alone; the existence of a method, device, equipment, and medium for monitoring the power loss of an electricity meter and B simultaneously; or the existence of B alone. Additionally, the character " / " in this document, unless otherwise specified, generally indicates that the related objects are in an "or" relationship.

[0089] The embodiments of this application will now be described in further detail with reference to the accompanying drawings.

[0090] This application provides a method for monitoring electricity loss in an electricity meter, executed by an electronic device. This electronic device can be a server or a terminal device. The server can be a standalone physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. The terminal device can be a smartphone, tablet, laptop, desktop computer, etc., but is not limited to these. The terminal device and the server can be directly or indirectly connected via wired or wireless communication. This application does not impose any limitations on this. Figure 1 As shown, the method includes:

[0091] Step S10: Obtain electricity consumption information and equipment information.

[0092] Among them, electricity consumption information refers to the energy consumption information corresponding to different electrical equipment, and equipment information refers to the application cycle information of different electrical equipment.

[0093] Step S11: Perform calibration analysis on the electricity consumption information to obtain calibrated electricity consumption information.

[0094] Step S12: Perform power consumption cycle analysis on the equipment information to obtain the application requirements of each power-consuming device under different cycle environments and the application time corresponding to the application requirements.

[0095] Specifically, the equipment information includes: the name of the electrical equipment, the usage time of the electrical equipment, and the work task information of the electrical equipment. Based on the work tasks corresponding to each electrical equipment in the factory, the application requirements and application time of the electrical equipment in different cycle environments can be known. Among them, the application requirements include: the working status of the electrical equipment at different times, including: standby, low-level operation, medium-level operation, and high-level operation. The application time is the duration of the electrical equipment in different working states.

[0096] Step S13: Obtain the power consumption specification information of each electrical device, and determine the application power range of each electrical device at different times based on the power consumption specification information, application requirements and application time.

[0097] Specifically, the rated power of the electrical equipment under different working conditions is determined based on the power specifications. Then, the application range of the electrical equipment at different times is determined based on the rated power, application requirements, and application time.

[0098] Step S14: Analyze the electricity consumption information according to unit time to obtain the electricity consumption data of each electrical device at different times.

[0099] Step S15: Determine whether the electricity consumption data conforms to the applicable electricity range. If not, calculate the difference between the electricity consumption data and the maximum value of the applicable electricity range to obtain the electricity consumption difference.

[0100] Step S16: Determine whether the power consumption difference meets the preset power consumption difference range. If it does not meet the range, determine the power-consuming device and the power consumption time corresponding to the power consumption data, and generate power consumption warning information based on the power-consuming device and the power consumption time.

[0101] This application provides a method for monitoring power loss in electricity meters. When monitoring power loss in electrical devices, the method acquires power consumption information and device information. The power consumption information includes energy consumption data for different electrical devices, and the device information includes application cycle information for different electrical devices. The power consumption information is calibrated and analyzed to obtain calibrated power consumption information. Then, the device information undergoes power cycle analysis to obtain the application requirements of each electrical device under different cycle environments and the corresponding application time. Finally, the power consumption specification information for each electrical device is acquired, and based on the power consumption specification information, application requirements, and application time, a method is determined. The system identifies the applicable power range for each electrical device at different times, analyzes the power consumption data by unit time, and then determines whether the power consumption data conforms to the applicable power range. If not, it calculates the difference between the power consumption data and the maximum value of the applicable power range to obtain the power consumption difference. It then determines whether the power consumption difference conforms to the preset power consumption difference range. If not, it identifies the non-power-consuming devices and their corresponding power consumption time, and generates power consumption warning information based on the non-power-consuming devices and their power consumption time. This achieves the effect of improving the power efficiency of each factory.

[0102] In one possible implementation of this application embodiment, step S11 specifically includes steps S111, S112, S113, S114, and S115, wherein,

[0103] Step S111: Obtain historical work information.

[0104] Among them, historical working information is used to represent the changes in the electricity meter readings of different electrical devices under different power states within a historical period, as well as the duration of each change in the electricity meter reading.

[0105] In this embodiment of the application, the historical time period is the time cycle set by the staff through electronic devices, for example, a one-month period.

[0106] In this embodiment of the application, when the electrical equipment performs each operation, the changes in the electricity meter readings and the duration of the changes in the electricity meter readings under different power states are bound together. The bound data is then stored in a data table according to the operation time point. The working information of the electrical equipment within that month is obtained once a month for electricity data monitoring.

[0107] Step S112: Determine the electricity metering standard and metering data based on the electricity consumption information.

[0108] Specifically, the electricity rate standard refers to the standard used to calculate the electricity consumption of factory equipment and charge for it. Electricity meters are used to measure users' electricity consumption, and the measurement principle involves current and voltage sensors. The current sensor detects the magnitude of the current, and the voltage sensor detects the magnitude of the voltage. The product of the current and voltage is then transmitted to the meter for calculation and conversion. However, with use, the voltage and current sensors inside the electricity meter age, which can easily lead to discrepancies between the voltage and current readings of the electrical equipment measured by the voltage and current sensors, ultimately resulting in abnormal meter readings.

[0109] Step S113: Perform data analysis on historical work information to obtain metering node information and the corresponding metering calibration values.

[0110] Among them, the metering node information is used to represent the meter readings of the electricity meter at preset intervals.

[0111] Step S114: Update the electricity metering standard based on the metering node information and metering calibration value to obtain the node metering standard.

[0112] Specifically, the metering calibration value obtained in step S113 is added to the initial metering value in the electricity metering standard to obtain the metering node standard for each metering node of the electrical equipment. For example, if the initial metering value in the electricity metering standard is 0, that is, when the electrical equipment is tested for electricity consumption, the electricity consumption value detected by the voltage sensor and the current sensor is the value of the electrical equipment. If the metering calibration value is 3, then the updated node metering standard is 2, that is, 2 is added to the calibration value detected by the voltage sensor and the current sensor.

[0113] Step S115: Based on the metering nodes in the node metering standard, the metering data is calibrated to obtain calibrated electricity consumption information.

[0114] Specifically, under the background of electricity metering standards, the metering data is corrected to obtain calibrated metering data. For example, if the metering data obtained under the electricity metering standard is 5, then after updating the electricity metering standard, the node metering standard is 2, and the actual metering data is 7.

[0115] One possible implementation of this application embodiment includes step S113, which specifically comprises steps S131, S132, S133, and S134.

[0116] Step S131: Retrieve the first measurement information and the second measurement information from the historical work information.

[0117] The first metering information includes: a first numerical range and a first metering duration corresponding to the first numerical range. The first numerical range is used to indicate the range of values ​​for metering different types of electrical equipment when the electricity meter is used for the first time. The first metering duration is used to indicate the metering duration when the electricity meter first meters different types of electrical equipment.

[0118] The second metering information includes: a second numerical range and a second metering duration corresponding to the second numerical range. The second numerical range is used to indicate the range of values ​​for metering different types of electrical equipment when the electricity meter is not used for the first time. The second metering duration is used to indicate the metering duration when the electricity meter is not used for the first time for metering different types of electrical equipment.

[0119] Step S132: Based on the first numerical range, determine the first metering data corresponding to the operating status of different types of electrical equipment at different operating power, and plan the first metering duration and the first metering data according to the metering time point to obtain the first metering information.

[0120] In this embodiment of the application, in order to accurately know the electricity billing data of electrical equipment under different operating power conditions, a first metering data test is adopted. That is, under the premise that the electricity meter has not been used, different electrical equipment is tested for different operating power and different operating durations to accurately determine the metering data corresponding to each electrical equipment under different operating power and different operating durations.

[0121] Specifically, a first data coordinate system is established, where the X-axis is the time line and the Y-axis is the metering data corresponding to different electrical devices at different power levels and for different durations. The unit time of the time line is divided into hours. Under the premise that the electricity meter is not in use, the metering data of different electrical devices is detected and recorded for the first time. Then, the metering data is marked with the corresponding values ​​of the Y-axis, and each mark is connected according to the time line pattern to obtain the first metering information.

[0122] Step S133: Based on the first numerical range, determine the second metering data corresponding to the operating status of different types of electrical equipment at different operating power, and plan the second metering duration and the second metering data according to the metering time point to obtain the second metering information.

[0123] Specifically, a second data coordinate system is established, where the X-axis is the time line corresponding to the X-axis in the first data coordinate system, and the Y-axis is the metering data corresponding to different electrical devices with different power levels and different durations applied on the time line. The data are connected according to the marking connection method in step S132 to obtain the second metering information.

[0124] Step S134: The first metering information and the second metering information are integrated and the average difference is calculated according to the same operating power of the electrical equipment to obtain the metering node information and the metering calibration value corresponding to the metering node information.

[0125] Specifically, the average value of the metering data in the first metering information and the second metering information is calculated according to the application duration, that is, the average metering value = metering data / application duration. Then, the difference between the average metering data of the first metering information and the average metering value of the second metering information with the same electrical equipment is calculated to obtain the average metering calibration value. Finally, the average metering calibration value is multiplied by the application duration to obtain the metering calibration value.

[0126] One possible implementation of this application embodiment, step S114 specifically includes:

[0127] Initial metering values ​​are determined based on electricity tariff metering standards and their correlation with metering node information. These initial metering values ​​are then updated according to metering calibration values ​​to obtain the node metering standards.

[0128] One possible implementation of this application embodiment involves updating the initial measurement value based on the measurement calibration value to obtain the node measurement standard, and then further including:

[0129] The difference between the metering correction value and the initial metering value is calculated to obtain the calibration difference. It is then determined whether the calibration difference meets the preset calibration value. If it does not meet the preset calibration value, an abnormal meter information is generated.

[0130] In this embodiment of the application, the preset calibration value is 0-1.5 kWh.

[0131] One possible implementation of this application embodiment involves determining whether the calibration difference conforms to a preset calibration value, and then further including:

[0132] If the calibration difference matches the preset calibration value, then future work information is obtained.

[0133] Among them, future work information is used to represent the application information of different electrical devices under different power states within a future period of time;

[0134] Based on future work information, historical work information, and metrology node information, the calibration difference is predicted to obtain the future calibration difference within the future period.

[0135] The system detects the time points at which future calibration differences do not conform to preset calibration values ​​and generates expected anomaly information based on these time points.

[0136] One possible implementation of this application embodiment involves predicting the calibration difference based on future work information, historical work information, and metering node information to obtain the future calibration difference within a future period, including:

[0137] Based on the metering node information and the corresponding metering calibration values, historical work information is processed into unsupervised time series data to obtain the first calibration matrix data.

[0138] Based on the measurement nodes and measurement calibration values, historical work information was processed using unsupervised time series data to obtain the following first calibration matrix data:

[0139]

[0140] Where m represents the type of electrical equipment and n represents the operating state corresponding to the node.

[0141] The first calibration matrix data is input into the trained calibration model for vector feature extraction to obtain the number of calibration feature dimensions. The obtained number of calibration feature dimensions is then combined with the first calibration matrix data to generate the second calibration matrix data.

[0142] Specifically, in the process of inputting the first calibration matrix data into the calibration model for vector feature extraction, it is necessary to obtain matrix data samples in advance. The matrix data samples include the first calibration matrix data formed by historical working information and the vector features in the first calibration matrix data. Then, a calibration model is created and trained based on the first calibration matrix data and the vector features in the first calibration matrix data to obtain a trained calibration model.

[0143] Specifically, the calibration model is a pre-trained neural network model. Neural networks (NNs) are complex network systems formed by the extensive interconnection of a large number of simple processing units (called neurons). They reflect many fundamental characteristics of human brain function and are highly complex nonlinear dynamic learning systems. Neural networks possess massive parallelism, distributed storage and processing, self-organization, self-adaptation, and self-learning capabilities, making them particularly suitable for handling imprecise and fuzzy information processing problems that require simultaneous consideration of many factors and conditions. The development of neural networks is related to neuroscience, mathematical science, cognitive science, computer science, artificial intelligence, information science, cybernetics, robotics, microelectronics, psychology, optical computing, and molecular biology.

[0144] Specifically, the first calibration matrix data is input into the calibration model for vector feature extraction, and the extracted vector features are statistically analyzed to obtain the number of feature dimensions. The vector features include equipment type features, duration vector features, and power features from historical work information. Then, the number of feature dimensions is combined with the first calibration matrix data to obtain the second calibration matrix data.

[0145] The data contained in the second calibration matrix is ​​processed to obtain comprehensive calibration data. The obtained comprehensive calibration data is then input into a preset algorithm model for data extrapolation to generate the calibration difference of the electricity meter in the future period.

[0146] For the embodiments of this application, a bidirectional LSTM model is used as a preset algorithm model for illustration, including but not limited to the bidirectional LSTM model.

[0147] Specifically, the pre-defined algorithm model is constructed, and the main body of the model adopts a bidirectional LSTM as a trend prediction model. The LSTM mainly consists of a forget gate, an input gate, and an output gate.

[0148] Forgotten Gate: ;

[0149] Input Gate: ;

[0150] After information filtering through the forget gate and the input gate, the historical memories and the current stage's memories are merged, generating the following value:

[0151]

[0152] Output gate:

[0153] Following the LSTM described above, another LSTM network layer is fed in reverse to obtain the BI-LSTM layer. Since it is trained by combining several groups of microbial species, a joint learning layer of species spatial features is added. The size of the association vector matrix is ​​initialized to M*V*K. The output vector of the last layer of the LSTM is taken, transposed, and multiplied by the association vector parameter matrix. Finally, the regression loss function is connected to complete the construction of the preset algorithm model.

[0154] The future calibration difference is obtained by matching the electrical equipment and power status in the future work information with the electrical equipment and power status in the historical work information.

[0155] The above embodiments describe a method for monitoring the power loss of an electricity meter from the perspective of the process flow. The following embodiments describe a device for monitoring the power loss of an electricity meter from the perspective of a virtual module or virtual unit. For details, please refer to the following embodiments.

[0156] This application provides an embodiment of a power loss monitoring device for electricity meters, such as... Figure 2As shown, the power loss monitoring device 20 for electricity meters may specifically include: an information acquisition module 21, an information analysis module 22, a cycle analysis module 23, a specification acquisition module 24, a power consumption analysis module 25, a power consumption judgment module 26, and a difference judgment module 27. The information acquisition module 21 is used to acquire power consumption information and equipment information. The power consumption information is the energy consumption information corresponding to different electrical equipment, and the equipment information is the application cycle information of different electrical equipment.

[0157] Information analysis module 22 is used to perform calibration analysis on electricity consumption information to obtain calibrated electricity consumption information;

[0158] The cycle analysis module 23 is used to perform power consumption cycle analysis on equipment information to obtain the application requirements of each power-consuming device under different cycle environments and the application time corresponding to the application requirements.

[0159] The specification acquisition module 24 is used to acquire the power consumption specification information of each electrical device, and determine the application power range of each electrical device at different times based on the power consumption specification information, application requirements and application time.

[0160] The power consumption analysis module 25 is used to analyze power consumption information according to unit time to obtain the power consumption data of each electrical device at different time periods.

[0161] The power consumption judgment module 26 is used to determine whether the power consumption data is within the applicable power range. If it is not, the difference between the power consumption data and the maximum value of the applicable power range is calculated to obtain the power consumption difference.

[0162] The difference judgment module 27 is used to determine whether the power consumption difference meets the preset power consumption difference range. If it does not meet the range, it determines the power-consuming device and the power consumption time corresponding to the power consumption data, and generates power consumption warning information based on the power-consuming device and the power consumption time.

[0163] In one possible implementation of this application embodiment, when the information analysis module 22 performs calibration analysis on the electricity consumption information to obtain calibrated electricity consumption information, it is specifically used for:

[0164] Obtain historical work information, which is used to represent the changes in the electricity meter readings of different electrical devices under different power states within a historical period, as well as the duration of each change in the electricity meter reading.

[0165] The electricity metering standard and metering data are determined based on electricity consumption information;

[0166] Data analysis is performed on historical work information to obtain metering node information and corresponding metering calibration values. Metering node information is used to represent the meter readings of the electricity meter at preset intervals.

[0167] The electricity metering standard is updated based on the metering node information and metering calibration values ​​to obtain the node metering standard;

[0168] The metering data is calibrated based on the metering nodes in the node metering standard to obtain calibrated electricity consumption information.

[0169] In another possible implementation of this application embodiment, when the information analysis module 22 performs data analysis on historical work information to obtain metering node information and the metering calibration value corresponding to the metering node information, it is specifically used for:

[0170] Retrieve the first and second measurement information from historical work data;

[0171] The first metering information includes: a first numerical range and a first metering duration corresponding to the first numerical range. The first numerical range is used to indicate the range of values ​​for metering different types of electrical equipment when the electricity meter is used for the first time. The first metering duration is used to indicate the metering duration when the electricity meter first meters different types of electrical equipment.

[0172] The second metering information includes: a second numerical range and a second metering duration corresponding to the second numerical range. The second numerical range is used to indicate the range of values ​​for metering different types of electrical equipment when the electricity meter is not used for the first time. The second metering duration is used to indicate the metering duration when the electricity meter is not used for the first time for metering different types of electrical equipment.

[0173] Based on the first numerical range, the first metering data corresponding to the operating states of different types of electrical equipment at different operating power is determined, and the first metering duration and the first metering data are planned according to the metering time points to obtain the first metering information.

[0174] Based on the first numerical range, the second metering data corresponding to the operating states of different types of electrical equipment at different operating power is determined, and the second metering duration and the second metering data are planned according to the metering time points to obtain the second metering information.

[0175] The first and second metering information are integrated and averaged according to the same operating power of the electrical equipment to obtain the metering node information and the metering calibration value corresponding to the metering node information.

[0176] In another possible implementation of this application embodiment, when the information analysis module 22 updates the electricity charge metering standard based on metering node information and metering calibration values ​​to obtain the node metering standard, it is specifically used for:

[0177] Initial metering values ​​that correspond to metering node information are determined based on electricity metering standards;

[0178] The initial measurement value is updated based on the measurement calibration value to obtain the node measurement standard.

[0179] In another possible implementation of this application embodiment, the device 20 further includes: a calibration calculation module and a difference judgment module, wherein...

[0180] The calibration calculation module is used to calculate the difference between the metrological correction value and the initial metrological value to obtain the calibration difference.

[0181] The difference judgment module is used to determine whether the calibration difference meets the preset calibration value. If it does not meet the preset calibration value, it generates meter abnormality information.

[0182] In another possible implementation of this application embodiment, the device 20 further includes: a future acquisition module, a difference prediction module, and an anomaly generation module, wherein the future acquisition module is used to acquire future working information when the calibration difference meets the preset calibration value, and the future working information is used to represent the application information of different electrical devices under different power states in a future period of time.

[0183] The difference prediction module is used to predict the calibration difference based on future work information, historical work information, and metering node information, and to obtain the future calibration difference within the future period.

[0184] The anomaly generation module is used to detect time points when the future calibration difference does not conform to the preset calibration value, and generate expected anomaly information based on the time points.

[0185] In another possible implementation of this application embodiment, when the difference prediction module predicts the calibration difference based on future work information, historical work information, and metering node information to obtain the future calibration difference within a future period, it is specifically used for:

[0186] Based on the metering node information and the corresponding metering calibration values, historical work information is processed into unsupervised time series data to obtain the first calibration matrix data.

[0187] The first calibration matrix data is input into the trained calibration model to extract vector features, and the number of calibration feature dimensions is obtained. The obtained number of calibration feature dimensions is then combined with the first calibration matrix data to generate the second calibration matrix data.

[0188] The data contained in the second calibration matrix is ​​processed to obtain comprehensive calibration data. The obtained comprehensive calibration data is then input into a preset algorithm model for data extrapolation to generate the calibration difference of the electricity meter in the future period. The future calibration difference is obtained by matching the electrical equipment and power status in the future working information with the electrical equipment and power status in the historical working information.

[0189] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0190] This application also describes an electronic device from the perspective of a physical device, such as... Figure 3 As shown, Figure 3 The illustrated electronic device 300, in addition to conventional configuration devices, includes a processor 301 and a memory 303. The processor 301 and the memory 303 are connected, for example, via a bus 302. Optionally, the electronic device 300 may also include a transceiver 304. It should be noted that in practical applications, the transceiver 304 is not limited to one type, and the structure of this electronic device 300 does not constitute a limitation on the embodiments of this application.

[0191] Processor 301 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It can implement or execute the various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. Processor 301 may also be a combination that implements computational functions, such as including one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.

[0192] Bus 302 may include a pathway for transmitting information between the aforementioned components. Bus 302 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. Bus 302 can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 3 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0193] The memory 303 may be a ROM (Read Only Memory) or other type of static storage device capable of storing static information and instructions, RAM (Random Access Memory) or other type of dynamic storage device capable of storing information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), CD-ROM (Compact Disc Read Only Memory) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but not limited thereto.

[0194] The memory 303 is used to store application code that executes the solution of this application, and its execution is controlled by the processor 301. The processor 301 is used to execute the application code stored in the memory 303 to implement the content shown in the foregoing method embodiments.

[0195] Electronic devices include, but are not limited to: mobile terminals such as mobile phones, laptops, digital radio receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), and in-vehicle terminals (such as in-vehicle navigation terminals), as well as fixed terminals such as digital TVs and desktop computers. Servers can also be included. Figure 3 The electronic device shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.

[0196] This application provides a computer-readable storage medium storing a computer program that, when run on a computer, enables the computer to execute the corresponding content in the aforementioned method embodiments. Compared with the prior art, in this application embodiment, when monitoring the power loss of electrical equipment for an electricity meter, power consumption information and equipment information are obtained. The power consumption information includes energy consumption information corresponding to different electrical equipment, and the equipment information includes application cycle information for different electrical equipment. The power consumption information is calibrated and analyzed to obtain calibrated power consumption information. Then, the equipment information undergoes power cycle analysis to obtain the application requirements of each electrical equipment under different cycle environments and the corresponding application time. Finally, the power consumption specification information of each electrical equipment is obtained, and based on the power consumption specification information, application requirements, and application time, the power consumption of each electrical equipment is determined. The system prepares the corresponding application power range for different time periods, and then analyzes the power consumption data according to unit time to obtain the power consumption data of each electrical device at different time periods. It then determines whether the power consumption data conforms to the application power range. If not, it calculates the difference between the power consumption data and the maximum value of the application power range to obtain the power consumption difference value. It then determines whether the power consumption difference value conforms to the preset power consumption difference value range. If not, it identifies the power-consuming devices and the corresponding power consumption time of the power-consuming devices, and generates power consumption warning information based on the power-consuming devices and power consumption time, thereby improving the power efficiency of each factory.

[0197] It should be understood that although the steps in the flowcharts of the accompanying figures are shown sequentially as indicated by the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the accompanying figures may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the sub-steps or stages of other steps.

[0198] The above are only some embodiments of this application. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. A method for monitoring electrical losses in an electricity meter, characterized in that, include: Obtain electricity consumption information and equipment information, wherein the electricity consumption information is the energy consumption information corresponding to different electrical devices, and the equipment information is the application cycle information of different electrical devices; The electricity consumption information is calibrated and analyzed to obtain calibrated electricity consumption information, wherein the calibration analysis includes: Retrieve the first metering information and the second metering information from the historical working information. The first metering information is used to represent the metering information when the electricity meter is used for the first time, and the second metering information is used to represent the metering information when the electricity meter is not used for the first time. The first metering information and the second metering information are integrated and averaged according to the same operating power of the electrical equipment to obtain the metering calibration value, and the electricity information is calibrated based on the metering calibration value; The power consumption cycle analysis of the equipment information yields the application requirements of each device under different cycle environments and the corresponding application time. The application requirements include the operating status of the equipment at different times, and the operating status includes: Standby, low-speed operation, medium-speed operation, and high-speed operation; Obtain the power consumption specification information of each of the electrical devices, and determine the application power range of each of the electrical devices at different times based on the power consumption specification information, the application requirements, and the application time; The electricity consumption information is analyzed according to unit time to obtain the electricity consumption data of each electrical device at different time periods; Determine whether the electricity consumption data conforms to the applicable electricity range. If not, calculate the difference between the electricity consumption data and the maximum value of the applicable electricity range to obtain the electricity consumption difference. Determine whether the power consumption difference meets the preset power consumption difference range. If it does not meet the preset range, determine the power-free device and the power consumption time corresponding to the power consumption data, and generate power consumption warning information based on the power-free device and the power consumption time. The method also includes: The calibration difference is obtained by analyzing the historical calibration values, and the future calibration difference is predicted in the future period based on the calibration difference. It also detects whether the future calibration difference does not conform to the preset calibration value. If it does not conform, it generates expected abnormal information based on the time node that does not conform to the preset calibration value.

2. The method for monitoring power loss in an electricity meter according to claim 1, characterized in that, The calibration and analysis of the electricity consumption information to obtain calibrated electricity consumption information includes: Obtain historical work information, which is used to represent the changes in the electricity meter readings of different electrical devices under different power states within a historical time period, as well as the duration of each change in the electricity meter reading. The electricity meter's electricity billing standard and metering data are determined based on the electricity consumption information. Data analysis is performed on the historical working information to obtain metering node information and metering calibration values ​​corresponding to the metering node information. The metering node information is used to represent the meter value of the electricity meter at preset time intervals. The electricity metering standard is updated based on the metering node information and the metering calibration value to obtain the node metering standard; The metering data is calibrated based on the metering nodes in the node metering standard to obtain calibrated electricity consumption information.

3. The method for monitoring power loss in an electricity meter according to claim 1, characterized in that, The process of updating the electricity metering standard based on the metering node information and the metering calibration value to obtain the node metering standard includes: Based on the electricity metering standard, determine the initial metering value that corresponds to the metering node information; The initial measurement value is updated based on the measurement calibration value to obtain the node measurement standard.

4. The method for monitoring power loss in an electricity meter according to claim 3, characterized in that, The step of updating the initial measurement value based on the measurement calibration value to obtain the node measurement standard further includes: The difference between the calibration correction value and the initial calibration value is calculated to obtain the calibration difference. Determine whether the calibration difference meets the preset calibration value. If it does not, generate meter abnormality information.

5. The method for monitoring power loss in an electricity meter according to claim 1, characterized in that, The step of predicting future calibration differences within a future period based on the calibration difference includes: Based on the metering node information and the metering calibration values ​​corresponding to the metering node information, the historical work information is processed into unsupervised time series data to obtain the first calibration matrix data. The first calibration matrix data is input into the trained calibration model for vector feature extraction to obtain the number of calibration feature dimensions. The obtained number of calibration feature dimensions is then combined with the first calibration matrix data to generate the second calibration matrix data. The data contained in the second calibration matrix data is processed to obtain comprehensive calibration data, and the obtained comprehensive calibration data is input into a preset algorithm model for data extrapolation to generate the calibration difference of the energy meter in the future period time. The future calibration difference is obtained by matching the electrical equipment and its power status in the future work information with the electrical equipment and its power status in the historical work information.

6. A power loss monitoring device for an electricity meter, characterized in that, include: The information acquisition module is used to acquire electricity consumption information and equipment information. The electricity consumption information is the energy consumption information corresponding to different electrical devices, and the equipment information is the application cycle information of different electrical devices. An information analysis module is used to perform calibration analysis on the electricity consumption information to obtain calibrated electricity consumption information, wherein the calibration analysis includes: Retrieve the first metering information and the second metering information from the historical working information. The first metering information is used to represent the metering information when the electricity meter is used for the first time, and the second metering information is used to represent the metering information when the electricity meter is not used for the first time. The first metering information and the second metering information are integrated and averaged according to the same operating power of the electrical equipment to obtain the metering calibration value, and the electricity information is calibrated based on the metering calibration value; The cycle analysis module is used to perform power consumption cycle analysis on the equipment information to obtain the application requirements of each electrical device under different cycle environments and the application time corresponding to the application requirements. The application requirements include the operating status of the electrical device at different times, and the operating status includes: Standby, low-speed operation, medium-speed operation, and high-speed operation; The specification acquisition module is used to acquire the power consumption specification information of each of the electrical devices, and determine the application power range of each of the electrical devices at different times based on the power consumption specification information, the application requirements and the application time. The electricity consumption analysis module is used to analyze the electricity consumption information according to unit time to obtain the electricity consumption data of each electrical device at different time periods; The electricity consumption judgment module is used to determine whether the electricity consumption data conforms to the application electricity range. If it does not conform, the difference between the electricity consumption data and the maximum value of the application electricity range is calculated to obtain the electricity consumption difference. The difference judgment module is used to determine whether the power consumption difference meets the preset power consumption difference range. If it does not meet the range, it determines the power-free device and the power consumption time corresponding to the power consumption data, and generates power consumption warning information based on the power-free device and the power consumption time. The device also includes: The difference prediction module is used to analyze the historical metrological calibration values ​​to obtain the calibration difference, and predict the future calibration difference within the future period based on the calibration difference. An anomaly generation module is used to detect whether the future calibration difference does not conform to the preset calibration value. If it does not conform, it generates expected anomaly information based on the time node that does not conform to the preset calibration value.

7. An electronic device, characterized in that, The electronic device includes: At least one processor; Memory; At least one application, wherein the at least one application is stored in memory and configured to be executed by at least one processor, said at least one application being configured to: perform a method for monitoring power loss in an energy meter as described in any one of claims 1 to 5.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed in the computer, the computer is instructed to perform the power loss monitoring method for an electricity meter as described in any one of claims 1 to 5.

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