Three-phase electric meter

Abstract

The invention relates to a three-phase electric meter applied to the technical field of intelligent power distribution, which comprises a manganous-manganin and null line current transformer module, an independent battery compartment module and a control system, and is characterized in that the control system comprises a data acquisition and high-dimensional representation module, a Transform analysis module, an illegal power utilization detection and alarm module and an intelligent data processing and communication module; the manganous-manganin and null line current transformer module can detect current, voltage, power factor, harmonic component and null line current in real time, and has the capability of monitoring direct current component and even harmonic, so that the anti-interference performance and metering precision of the system in a complex electromagnetic environment are improved; according to the system, a multi-head self-attention mechanism of the Transform analysis module is used for carrying out deep analysis on a high-dimensional representation vector sequence, an abnormal mode is accurately extracted, intelligent detection and response to illegal power consumption behaviors are achieved, and the high-precision intelligent metering module is combined with historical data and real-time data to provide accurate electric energy metering and power consumption optimization suggestions.

Description

Technical Field

[0001] The present invention relates to a three-phase electric meter, and in particular to a three-phase electric meter applied in the technical field of intelligent power distribution. Background Art

[0002] With the continuous development of the power system and the increasing demand of power users, the accuracy and intelligence level of electric energy metering have become increasingly important. While the existing three-phase meter technology is widely used, it also faces some challenges, such as electromagnetic interference, the influence of nonlinear loads, and metering accuracy problems in complex power environments. In order to solve these problems, many meter technologies have been improved and optimized.

[0003] Chinese invention patent CN102426290B discloses a wide-range high-precision electric energy meter, which is designed to use manganese copper and mutual inductor or two mutual inductors for current sampling, and changes the range by controlling channel selection through a single-chip microcomputer, thereby breaking the constraints of the dynamic range of the metering chip and achieving wide-range and high-precision electric energy measurement. However, the design mainly relies on hardware improvements to achieve accuracy improvement, and there are still limitations in the anti-interference ability and intelligent analysis and processing capabilities in complex electromagnetic environments. In addition, the meter fails to fully solve the problem of measurement accuracy under complex power conditions such as high harmonics and nonlinear loads.

[0004] Another Chinese invention patent, CN114814355B, introduces a three-phase electricity meter based on manganese copper sampling, which uses a linear transformer to provide three-way isolated power supply, and completes the measurement of the three-phase meter through four single-phase energy metering AFEs in conjunction with the MCU. This design reduces the size of the transformer to a certain extent, reduces the occupation of hardware resources, and controls costs. However, when facing a more complex power consumption environment, especially when the DC component and harmonic distortion are more serious, the metering accuracy and anti-interference ability of this solution are still limited. In addition, the meter has a low level of intelligence and cannot effectively identify and handle illegal power consumption behaviors, and lacks the ability to deeply analyze and optimize power consumption patterns.

[0005] The above design improves the measurement accuracy and stability of the electricity meter through hardware improvement and partial software optimization, but it still has certain limitations, such as insufficient anti-interference ability in complex power environments, lack of intelligent illegal electricity consumption detection and response mechanism, and inability to effectively analyze and optimize electricity consumption patterns. Summary of the invention

[0006] In view of the above-mentioned prior art, the technical problem to be solved by the present invention is how to improve the three-phase electricity meter to maintain high-precision measurement in a complex power environment, while having intelligent illegal electricity use detection and optimization management functions.

[0007] To solve the above problems, the present invention provides a three-phase electric meter, including a three-manganese copper plus neutral current transformer module, an independent battery compartment module and a control system, wherein the control system includes a data acquisition and high-dimensional representation module, a Transformer analysis module, an illegal electricity detection and alarm module, an intelligent data processing and communication module, a high-precision intelligent metering module and a control module; The three-manganese copper plus neutral current transformer module is used to measure the current, voltage, power factor, harmonic components and neutral current in the three-phase meter to generate multi-dimensional electric energy data, which is further processed by the data acquisition and high-dimensional representation module; An independent battery compartment module is used to easily replace batteries. The independent battery compartment module includes a compartment cover fixed by screws, and the battery status is monitored in real time through the battery power monitoring submodule. The power data can be transmitted to the control module to remind the user to replace the battery; The data acquisition and high-dimensional representation module is used to receive the multi-dimensional power data from the three-manganese copper plus neutral current transformer module, convert it into a high-dimensional representation vector, and standardize and normalize the multi-dimensional power data to generate a time segment of fixed length; the generated high-dimensional representation vector is transmitted to the Transformer analysis module in real time for subsequent analysis; Transformer analysis module, including self-attention mechanism, is used to receive the high-dimensional representation vector sequence from the data acquisition and high-dimensional representation module, perform multi-level and multi-angle weighted analysis on it, capture the time dependency and potential patterns in the data, and thus extract feature data for illegal electricity detection and high-precision intelligent metering; the extracted feature data is further transmitted to the illegal electricity detection and alarm module and the high-precision intelligent metering module; The illegal electricity use detection and alarm module is used to receive the characteristic data from the Transformer analysis module, detect the serious imbalance between the phase line and the neutral line current, and determine whether there is illegal electricity use. If an abnormality is detected, the alarm mechanism is automatically triggered or a control signal is sent to the control module to stop the power supply of the energy meter; The intelligent data processing and communication module is used to compress the high-dimensional representation vectors and feature data from the Transformer analysis module to generate compact representation vectors to reduce the overhead of data transmission, and upload the data to the power supply company server through carrier communication technology to achieve remote monitoring and intelligent power management; this module also receives and processes the control signals from the control module and passes them to the relevant modules for execution; High-precision intelligent metering module, which receives characteristic data from the Transformer analysis module and combines historical data with real-time data to ensure high accuracy of energy metering under conditions of high harmonics and nonlinear loads through refined analysis. The analysis results can be fed back to the control module for automatic adjustment of the system, and optimization suggestions can be transmitted to the intelligent data processing and communication module; The control module is used to receive the analysis results and control signals from the illegal electricity usage detection and alarm module and the high-precision intelligent metering module, and perform corresponding control operations, such as adjusting the working status of the electricity meter or stopping the power supply, and feed back the data and control signals to the power supply company server through the intelligent data processing and communication module, so that the power supply company can implement intelligent management.

[0008] In the above three-phase electricity meter, by introducing the three-manganese copper plus neutral current transformer module, the anti-interference ability of the system is significantly improved, and high-precision measurement can be achieved in a complex electromagnetic environment. At the same time, the multi-head self-attention mechanism of the Transformer analysis module is used to deeply analyze the collected electric energy data, accurately identify abnormal patterns, and realize intelligent illegal electricity detection and rapid response. Combined with the distributed computing technology of the intelligent data processing and communication module, the present invention not only improves the efficiency of data processing and transmission, but also helps users reduce energy consumption and achieve sustainable power management goals through the optimization suggestion function of the high-precision intelligent metering module.

[0009] As a further improvement of the present application, the three-manganese copper plus neutral line current transformer module can detect the DC component and even harmonic component caused by nonlinear load or other factors in the power grid through real-time monitoring of the three-phase current signal and the neutral line current signal.

[0010] As a further improvement of the present application, the independent battery compartment module further includes a battery power monitoring submodule, which is used to monitor the battery power status of the battery in real time, and when the power is lower than the set threshold, remind the user to replace the battery in time through the LCD display or communication module.

[0011] As a further improvement of the present application, the Transformer analysis module includes a multi-head self-attention mechanism, which is used to weight different features of the high-dimensional representation vector sequence, thereby improving the system's ability to recognize abnormal patterns in current and voltage signals (such as illegal electricity usage, equipment failures, etc.).

[0012] As another improvement of the present application, the illegal electricity usage detection and alarm module further includes a dynamic threshold adjustment submodule, which dynamically adjusts the detection threshold of illegal electricity usage according to different electricity usage environments and load conditions to improve the sensitivity and accuracy of detection.

[0013] As another improved supplement of the present application, the intelligent data processing and communication module uses distributed computing technology to allocate part of the data processing tasks of the electric energy meter to the edge computing node to reduce data transmission delay and improve real-time processing efficiency.

[0014] As another improved supplement to the present application, the high-precision intelligent metering module automatically identifies changes in power consumption patterns by comparing and analyzing historical data with real-time data, and generates a prediction model to provide energy-saving optimization suggestions and abnormal warnings.

[0015] A three-phase electric meter, characterized in that: its working method comprises the following steps; S1: The current, voltage, power factor, harmonic component and neutral current data of the three-phase meter are collected through the three-manganese copper plus neutral current transformer module, and the collected data are standardized and normalized; S2: convert the processed multi-dimensional power data into a high-dimensional representation vector and slice it into time segments of fixed length; S3: Use the Transformer analysis module to perform multi-level and multi-angle self-attention analysis on the high-dimensional representation vector sequence to extract the temporal dependencies and potential patterns in the data; S4: Based on the analysis results, the balance of phase and neutral currents is detected through the illegal power usage detection and alarm module to determine whether there is illegal power usage. If an abnormality is detected, an alarm is triggered or the power meter is controlled to stop supplying power; S5: compress the high-dimensional representation vector and upload the data to the power supply company server through the intelligent data processing and communication module to achieve remote monitoring and data management; S6: Through the high-precision intelligent metering module, real-time data and historical data are compared and analyzed to generate high-precision electricity metering results and electricity consumption pattern predictions, and provide suggestions for optimizing energy consumption management.

[0016] In summary, this application has the following beneficial effects: 1. High precision and high anti-interference ability. This patent adopts three manganese copper plus neutral line current transformer module, which has excellent anti-magnetic interference ability and can maintain high-precision electric energy measurement in complex electromagnetic environment. Compared with traditional CT sensors, this module effectively avoids the influence of magnetic field interference on measurement accuracy.

[0017] The module can also monitor the DC components and even harmonic components in the power grid in real time. These factors often appear under nonlinear load conditions and may affect the measurement accuracy of the electric energy meter. By accurately detecting these components, the three-phase electric energy meter of this patent can still maintain high accuracy in various complex power environments.

[0018] 2. Intelligent detection and response to illegal electricity usage. This patent introduces a dynamic threshold adjustment sub-module, which can automatically adjust the detection threshold according to different power usage environments and load conditions, thereby improving the sensitivity and accuracy of detecting illegal electricity usage behaviors. The system can effectively identify the imbalance of phase and neutral line currents to avoid false alarms and missed alarms.

[0019] When illegal electricity usage or circuit abnormalities are detected, the system can immediately trigger an alarm and perform an emergency power outage through the control module to prevent further illegal operations. This rapid response mechanism ensures the safety and stability of the power grid.

[0020] 3. Efficient data processing and remote management. The intelligent data processing and communication module of this patent uses distributed computing technology and data compression technology to greatly improve the data processing and transmission efficiency of the system. By allocating part of the data processing tasks to the edge computing nodes, the load on the central processing unit is reduced and the real-time processing capability of the system is improved.

[0021] The compressed data is uploaded to the power supply company's server through carrier communication technology to ensure the real-time and accuracy of data transmission. The power supply company can remotely monitor the operating status of the electricity meter and respond and handle abnormal situations in a timely manner.

[0022] 4. Accurate electricity metering and electricity consumption optimization. This module combines historical data with real-time data for comprehensive analysis to ensure that electricity metering can maintain high accuracy under various complex conditions (such as high harmonics, nonlinear loads, etc.). The system can identify changes in users' electricity consumption patterns and provide accurate predictions of future electricity consumption trends based on prediction models.

[0023] In addition, the system also generates energy-saving optimization suggestions to help users rationally plan electricity use and reduce energy consumption. This function not only helps users reduce electricity bills, but also optimizes overall energy efficiency and supports the goal of sustainable development.

[0024] 5. Convenient maintenance and management. The independent battery compartment module designed by this patent makes battery replacement simple and convenient, avoiding the tedious operation of traditional meters when replacing batteries. The battery power monitoring submodule monitors the battery status in real time. When the power is lower than the set threshold, the LCD display or communication module reminds the user to replace the battery in time to ensure the continuous and stable operation of the meter.

[0025] It effectively reduces the maintenance cost of electricity meters. At the same time, through the remote monitoring function, the power supply company can also remind users when the power is low, further improving the reliability of the system.

[0026] 6. Comprehensive intelligent workflow. Through the multi-head self-attention mechanism, the Transformer analysis module of this patent can analyze the time series changes of power data from multiple angles and capture potential abnormal patterns and power consumption behaviors. This module not only improves the depth and breadth of data analysis, but also provides key support for subsequent violation detection and intelligent metering.

[0027] Combined with the generation and processing of high-dimensional representation vectors, the system can fully and deeply understand complex power data, making the entire workflow more intelligent and efficient. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 This is the overall structure diagram of this application; Figure 2 For the control system interaction of this application Figure 1 ; Figure 3 For the control system interaction of this application Figure 2 ; Figure 4 This is the workflow diagram of this application. DETAILED DESCRIPTION

[0029] Three embodiments of the present application are described in detail below with reference to the accompanying drawings.

[0030] like Figures 1 to 4 As shown, the present embodiment relates to an intelligent three-phase electric meter for a power system, which realizes accurate measurement, real-time monitoring and intelligent management of electric energy by integrating multiple functional modules. The three-phase electric meter includes the following modules: a three-manganese copper plus neutral current transformer module, an independent battery compartment module, a data acquisition and high-dimensional representation module, a Transformer analysis module, an illegal electricity detection and alarm module, an intelligent data processing and communication module, a high-precision intelligent metering module and a control module.

[0031] Manganese copper plus neutral current transformer module, this module is used for real-time measurement of current, voltage, power factor, harmonic components and neutral current in three-phase electric meters. It uses sensors made of manganese copper, which has strong anti-magnetic interference ability and is suitable for complex electromagnetic environments.

[0032] Data output, the generated multi-dimensional electric energy data includes the current, voltage, power factor and harmonic components of each phase, and these data are transmitted to the data acquisition and high-dimensional representation module in real time.

[0033] Independent battery compartment module, this module is designed as an independent battery compartment, which is convenient for users to replace batteries. The battery compartment is fixed with screws and has a dustproof and waterproof design to ensure the normal operation of the equipment in harsh environments.

[0034] Battery monitoring, the battery power monitoring submodule monitors the battery power status in real time. When the power is lower than the set threshold, the control module will notify the user to replace the battery to prevent the energy meter from stopping working due to insufficient battery power.

[0035] The data acquisition and high-dimensional representation module receives the multi-dimensional electric energy data from the three-manganese copper plus neutral current transformer module, converts these data into high-dimensional representation vectors, and generates fixed-length time segments after the data is standardized and normalized.

[0036] Data transmission,The processed high-dimensional representation vector sequence is transmitted to the Transformer analysis module in real time,,providing basic data for subsequent analysis.

[0037] Transformer analysis module, which uses the self-attention mechanism to perform multi-level and multi-angle weighted analysis on the received high-dimensional representation vector sequence. Through this analysis, it captures the time dependencies and potential patterns in the data and extracts feature data related to illegal electricity usage detection and high-precision smart metering.

[0038] Data transmission, the extracted feature data is further transmitted to the illegal electricity consumption detection and alarm module and the high-precision intelligent metering module to perform corresponding functions.

[0039] The illegal electricity usage detection and alarm module receives the feature data from the Transformer analysis module. It is mainly used to detect the serious imbalance between the phase line and the neutral line current and determine whether there is any illegal electricity usage. If an abnormality is detected, the module will automatically trigger the alarm mechanism and send a control signal to the control module to immediately stop the power supply of the energy meter to prevent further illegal electricity usage.

[0040] The intelligent data processing and communication module compresses the high-dimensional representation vectors and feature data from the Transformer analysis module to generate compact representation vectors to reduce bandwidth consumption during data transmission. This module uploads the processed data to the power supply company server through carrier communication technology to achieve remote monitoring and intelligent power management.

[0041] Data reception and execution. At the same time, the module receives and processes control signals from the control module and passes them to related modules for execution to achieve automated management and emergency control.

[0042] The high-precision intelligent metering module receives the characteristic data from the Transformer analysis module and performs refined analysis based on historical data and real-time data to ensure that the high accuracy of energy metering can be maintained in complex power consumption environments such as high harmonics and nonlinear loads. The analysis results of this module can be fed back to the control module for system automation adjustment and transmit optimization suggestions to the intelligent data processing and communication module.

[0043] The control module is used to receive the analysis results and control signals from the illegal electricity usage detection and alarm module and the high-precision intelligent metering module, and perform corresponding control operations, such as adjusting the working status of the electricity meter or stopping the power supply. At the same time, through the intelligent data processing and communication module, the data and control signals are fed back to the power supply company server so that the power supply company can implement intelligent management.

[0044] Working process Data collection and processing: During the operation of the electric energy meter, the three-manganese copper plus neutral current transformer module continuously collects data such as three-phase current, voltage, power factor and harmonic components. These data are transmitted to the data acquisition and high-dimensional representation module for standardization and normalization, and converted into high-dimensional representation vectors.

[0045] After the high-dimensional representation vector is formed, it is transmitted to the Transformer analysis module in real time for in-depth analysis of complex data.

[0046] Data Analysis and Anomaly Detection: The Transformer analysis module uses the self-attention mechanism to perform multi-angle analysis on the received high-dimensional representation vector, extract the time dependency and potential patterns in the power data, and form feature data.

[0047] The characteristic data is then transmitted to the illegal electricity usage detection and alarm module and the high-precision intelligent metering module. The illegal electricity usage detection and alarm module is responsible for monitoring the balance of phase and neutral line currents. If illegal electricity usage is found, it will immediately trigger an alarm and send a power outage signal to the control module.

[0048] Data processing and transmission: The intelligent data processing and communication module compresses the data received from the Transformer analysis module, generates efficient representation vectors, and uploads the data to the power supply company server through carrier communication technology.

[0049] At the same time, the intelligent data processing and communication module executes the commands issued by the control module to adjust the working status of the electric energy meter or perform other necessary operations.

[0050] Smart metering and control: The high-precision intelligent metering module combines real-time and historical data to perform detailed energy metering to ensure the accuracy of metering in complex power grid environments. The metering results are fed back to the control module to make corresponding adjustments and optimization suggestions.

[0051] The control module performs relevant control operations based on the received analysis results, such as stopping power supply, adjusting the working mode, etc., and feeds back the situation to the power supply company through the communication module.

[0052] High anti-interference ability: By using three manganese copper sensors, the three-phase meter has strong anti-magnetic field interference ability and can work accurately in complex electromagnetic environments, avoiding the defect of traditional CT sensors being susceptible to interference.

[0053] Accurate violation detection: Using the Transformer’s self-attention mechanism, the meter can accurately detect illegal electricity usage and respond in a timely manner to ensure the safety and stability of the power grid.

[0054] Intelligent management and energy-saving optimization: Through the linkage of high-precision intelligent metering modules and control modules, the system can automatically adjust the power consumption mode, optimize the efficiency of power utilization, and provide power optimization suggestions to the power supply company.

[0055] Convenient maintenance: The design of the independent battery compartment module makes battery replacement very convenient, and through the battery power monitoring function, users can know the battery status in time to avoid equipment downtime due to low power.

[0056] Efficient data transmission and processing: Intelligent data processing and communication modules can efficiently compress and transmit data, reduce bandwidth consumption, and ensure the real-time and accuracy of remote monitoring and management.

[0057] like Figures 1 to 4 As shown, based on Example 1, this embodiment further enhances the functions of the three-phase electricity meter, focusing on the detection of DC components and even harmonics in the current signal, power monitoring of the independent battery compartment module, the multi-head self-attention mechanism of the Transformer analysis module, the dynamic threshold adjustment function, the application of distributed computing technology, and the prediction of changes in power consumption patterns and the generation of optimization suggestions.

[0058] The three-manganese copper plus neutral current transformer module is not only used for the measurement of conventional three-phase current, voltage, power factor and harmonic components, but also has the function of detecting DC components and even harmonic components caused by nonlinear loads or other factors in the power grid. The changes in these signals may affect the measurement accuracy and equipment operation stability. Therefore, detecting these components is crucial to ensure the high-precision operation of the electric energy meter.

[0059] Signal processing,This module captures the subtle changes of three-phase current signals and neutral current signals through high-sensitivity sensors, analyzes the drift of DC components and the increase of even harmonics in real time, and transmits these data to the data acquisition and high-dimensional representation module.

[0060] The independent battery compartment module has an enhanced battery monitoring function. The module is equipped with a battery power monitoring submodule, which can monitor the battery power status in real time. When the power is lower than the set safety threshold, the battery monitoring submodule will issue a reminder through the LCD display or communication module to prompt the user to replace the battery in time to avoid meter shutdown due to low battery power.

[0061] The data interface transmits the battery power information to the control module at the same time. The control module can upload this information to the power supply company server through the intelligent data processing and communication module to facilitate remote monitoring and management.

[0062] The data acquisition and high-dimensional representation module is used for data integration and processing. This module receives and integrates all multi-dimensional power data from the three-manganese copper plus neutral current transformer module, including DC components and even harmonic components. After the data is standardized and normalized, a fixed-length time segment is generated and converted into a high-dimensional representation vector, which is transmitted to the Transformer analysis module.

[0063] The Transformer analysis module has a multi-head self-attention mechanism. This module uses a multi-head self-attention mechanism to weight different features in the high-dimensional representation vector sequence. This mechanism can analyze data from multiple angles and identify abnormal patterns in current and voltage signals, such as illegal electricity usage, equipment failure, or harmonic distortion in the signal.

[0064] Feature extraction, this module extracts feature data and transmits it to the illegal electricity consumption detection and alarm module and the high-precision intelligent metering module for subsequent processing.

[0065] The illegal electricity usage detection and alarm module has a dynamic threshold adjustment function. The module is further equipped with a dynamic threshold adjustment sub-module, which dynamically adjusts the detection threshold of illegal electricity usage according to different power usage environments and load conditions. This function enables the system to maintain high sensitivity and accuracy when responding to different load changes and reduce false alarm rates.

[0066] Real-time response: when an abnormality is detected, the module will immediately trigger the alarm mechanism and perform an emergency power-off operation through the control module.

[0067] The intelligent data processing and communication module adopts distributed computing. The module uses distributed computing technology to assign part of the data processing tasks of the electricity meter to the edge computing node, reduce data transmission delays, and improve real-time processing efficiency. This can effectively reduce the load of the central processing unit and ensure the stable operation of the system under high load.

[0068] Efficient communication: the processed data is uploaded to the power supply company server through carrier communication technology to ensure the integrity and real-time nature of the data. At the same time, the module receives and executes instructions from the control module to achieve remote management.

[0069] The high-precision intelligent metering module can analyze and predict electricity consumption patterns: this module not only performs conventional high-precision electricity metering, but also combines historical data with real-time data to automatically identify changes in electricity consumption patterns and generate a prediction model. The model is used to predict future electricity consumption trends, help users optimize energy consumption, and provide abnormal warnings.

[0070] Optimization suggestion generation: The module generates energy-saving optimization suggestions based on the power consumption pattern analysis results for user reference, and feeds back to the control module for automatic adjustment.

[0071] The control module receives the analysis results and control signals from the illegal electricity usage detection and alarm module and the high-precision intelligent metering module, and performs related control operations, such as adjusting the working status of the electricity meter or stopping the power supply, and feeds back the data and control signals to the power supply company server through the intelligent data processing and communication module so that the power supply company can implement intelligent management.

[0072] Working process Real-time monitoring and signal processing: The three-manganese copper plus neutral current transformer module monitors the DC component and even harmonic component in the three-phase current and neutral current in real time, and transmits these signals together with conventional current, voltage, power factor and other data to the data acquisition and high-dimensional representation module.

[0073] Data collection and feature extraction: The data acquisition and high-dimensional representation module processes the collected data, generates high-dimensional representation vectors, and transmits these vectors to the Transformer analysis module. The Transformer analysis module uses a multi-head self-attention mechanism to identify abnormal patterns in the data and extract key feature data.

[0074] Anomaly Detection and Response: The illegal electricity usage detection and alarm module uses the dynamic threshold adjustment submodule to adjust the detection threshold based on the extracted feature data to ensure sensitive and accurate detection of illegal electricity usage behavior. Once an abnormality is detected, the module immediately triggers an alarm and stops power supply through the control module.

[0075] Smart metering and optimization: The high-precision intelligent metering module combines historical data with real-time data to analyze users' electricity usage patterns and generate prediction models, providing energy-saving optimization suggestions. The analysis results are transmitted to the control module to achieve automated adjustment and optimization.

[0076] Data processing and remote management: The intelligent data processing and communication module uses distributed computing technology to efficiently process data and uploads it to the power supply company server through carrier communication technology. At the same time, it receives and executes instructions from the control module to achieve remote monitoring and management.

[0077] Accurate harmonic and DC component monitoring: By enhancing the function of the three-manganese copper plus neutral current transformer module, the system can accurately monitor the DC component and even harmonics in the power grid, and improve the measurement accuracy of the energy meter under non-linear load conditions.

[0078] Intelligent battery management: The power monitoring function of the independent battery compartment module ensures the continuous and stable operation of the energy meter, avoiding system downtime caused by low battery power.

[0079] More accurate anomaly detection: The multi-head self-attention mechanism and dynamic threshold adjustment function make the system more accurate in identifying abnormal patterns and illegal electricity usage behaviors, reducing the possibility of false alarms and missed alarms.

[0080] Improved computing and communication efficiency: The application of distributed computing technology effectively disperses the computing load, improves the real-time processing capability of the system, and realizes timely data upload and remote control through efficient communication.

[0081] Power consumption optimization and energy saving: The high-precision intelligent metering module provides more accurate power consumption forecasts and energy-saving optimization suggestions by combining historical data with real-time data, helping users to rationally plan power consumption and reduce energy consumption.

[0082] This embodiment further improves the intelligence level and adaptability of the three-phase electricity meter through technical and functional enhancements, making its performance more stable and efficient in a complex power environment.

[0083] like Figures 1 to 4 As shown, based on Examples 1 and 2, this embodiment describes its working method in detail, including the whole process from data collection to analysis and processing, anomaly detection and response, data transmission and remote management, and intelligent metering and optimization suggestion generation. The specific steps include S1 to S6, forming a complete workflow to achieve efficient and intelligent power management and metering.

[0084] Step S1: Data collection and processing Data collection: The current, voltage, power factor, harmonic components and neutral current data of the three-phase meter are collected in real time through the three-manganese copper plus neutral current transformer module. The module has the ability to detect DC components and even harmonic components caused by nonlinear loads or other factors in the power grid, ensuring the comprehensiveness and accuracy of the data.

[0085] Data preprocessing: After the collected data is transmitted to the data acquisition and high-dimensional representation module, it is first standardized and normalized to eliminate the dimensional differences between different data sources and ensure data consistency. The processed data will enter the next high-dimensional representation stage.

[0086] Step S2: Generation of high-dimensional representation vector Data conversion: In the data acquisition and high-dimensional representation module, the preprocessed multi-dimensional power data is converted into a high-dimensional representation vector, which retains the multi-dimensional information of the original data and represents the time series changes of the power data in a structured way.

[0087] Time fragmentation: To facilitate subsequent analysis, the high-dimensional representation vector is sliced ​​into time fragments of fixed length. Each time fragment contains the power data within a period of time, forming a complete time series data sequence, which provides a basis for subsequent analysis.

[0088] Step S3: Analysis of self-attention mechanism Multi-level analysis: The Transformer analysis module is used to perform multi-level and multi-angle analysis on high-dimensional representation vector sequences through the self-attention mechanism. The self-attention mechanism allows the model to focus on the dependencies between different time segments and capture potential patterns and abnormal changes in the data.

[0089] Feature extraction: During this analysis, the system can identify key features in complex current and voltage signals, including normal operating modes and potential abnormal behaviors, such as illegal power usage or equipment failure. The extracted feature data will be transmitted to the next step for anomaly detection and metering analysis.

[0090] Step S4: Illegal power usage detection and response Balance detection: The illegal power usage detection and alarm module is based on the feature data extracted from the Transformer analysis module, focusing on detecting the balance of phase and neutral currents. Any obvious imbalance may indicate illegal power usage or circuit abnormality.

[0091] Abnormal response: Once an abnormality is detected, the system will immediately trigger the alarm mechanism. The module also has a dynamic threshold adjustment function, which automatically adjusts the detection sensitivity according to the actual power consumption environment to ensure the accuracy of the detection. When serious illegal power consumption is detected, the system can directly send a power outage signal through the control module to prevent illegal power consumption.

[0092] Step S5: Data compression and remote transmission Data compression: After receiving the high-dimensional representation vector and feature data from the Transformer analysis module, the intelligent data processing and communication module first performs data compression to generate a compact representation vector. This process greatly reduces the bandwidth required for data transmission.

[0093] Remote monitoring: The compressed data is uploaded to the power supply company server through carrier communication technology to achieve remote monitoring and data management. Distributed computing technology is applied to this process to ensure the efficiency of data processing and the real-time transmission.

[0094] Step S6: Smart metering and optimization suggestions Metering analysis: The high-precision intelligent metering module compares and analyzes real-time data with historical data to generate high-precision electricity metering results. The module uses feature data to further identify changes in electricity consumption patterns and predict future electricity consumption trends.

[0095] Optimization suggestions: Based on the analysis results, the system generates suggestions for optimizing energy consumption management, such as reducing unnecessary power consumption or adjusting load distribution. The suggestions can be used as a reference for users, and the control module can also automatically adjust the operating parameters of the power meter to achieve more efficient power management.

[0096] Working process Startup and data collection: After the three-phase meter is started, the manganese copper plus neutral current transformer module immediately begins to collect multi-dimensional power data such as current, voltage, power factor, etc., and monitors the DC component and even harmonic component in real time. The collected data is sent to the data acquisition and high-dimensional representation module for standardization and normalization.

[0097] High-dimensional representation and fragmentation: The processed multidimensional data is converted into a high-dimensional representation vector and divided into time segments of fixed length. Each segment represents the power data within a time period and is ready to be input into the Transformer analysis module for further processing.

[0098] Self-attention analysis and feature extraction: The Transformer analysis module uses the self-attention mechanism to perform multi-level and multi-angle analysis of the time segment sequence. The system identifies key features in the data, including possible illegal electricity usage behaviors, equipment failures and other abnormal patterns, and transmits these feature data to the illegal electricity usage detection and alarm module and the high-precision intelligent metering module.

[0099] Anomaly detection and system response: The illegal electricity usage detection and alarm module detects the balance of phase and neutral currents in real time based on characteristic data. Once illegal electricity usage or other abnormal behaviors are found, the system will automatically trigger an alarm and, if necessary, cut off the power supply through the control module to prevent further illegal operations.

[0100] Data compression and upload: The intelligent data processing and communication module compresses the analyzed high-dimensional representation vector and uploads it to the power supply company server through carrier communication technology. Through distributed computing technology, the system can complete the processing and transmission of large amounts of data in a short time and maintain the real-time nature of remote monitoring.

[0101] Smart metering and optimization: The high-precision intelligent metering module conducts comprehensive analysis of real-time data and historical data to generate accurate electricity metering results and electricity consumption pattern predictions. Based on the analysis results, the system generates recommendations for optimizing energy consumption management and adjusts the working parameters of the electricity meter through the control module to achieve optimal energy efficiency management.

[0102] Intelligent processing of the entire process: Example 3 describes in detail the complete workflow from data collection, analysis, detection to final measurement and optimization suggestion generation. Through the application of self-attention mechanism and high-dimensional representation vectors, the system realizes in-depth analysis and intelligent processing of power data.

[0103] Accurate detection of illegal electricity use: The system can detect the imbalance of phase and neutral currents in real time, and improve the accuracy of detection through dynamic threshold adjustment function. The rapid response mechanism ensures that immediate action can be taken when illegal electricity use is found.

[0104] Efficient data processing and transmission: Through distributed computing technology and data compression technology, the system performs well in processing and transmitting large amounts of power data, effectively reducing bandwidth consumption and transmission delays, and ensuring the real-time nature of data.

[0105] Intelligent metering and optimization: The system combines historical data with real-time data to provide high-precision electricity metering and electricity consumption pattern prediction, helping users optimize electricity consumption strategies, reduce energy consumption, and achieve intelligent electricity management.

[0106] In view of current practical needs, the above-mentioned implementation mode adopted in this application is not limited to the scope of protection. Various changes made within the knowledge scope of technical personnel in this field without departing from the concept of this application still fall within the scope of protection of the present invention.

Claims

1. A three-phase electric meter, characterized in that: It includes a three-manganese copper plus neutral current transformer module, an independent battery compartment module and a control system, wherein the control system includes a data acquisition and high-dimensional representation module, a Transformer analysis module, an illegal electricity detection and alarm module, an intelligent data processing and communication module, a high-precision intelligent metering module and a control module; The three-manganese copper plus neutral current transformer module is used to measure the current, voltage, power factor, harmonic components and neutral current in the three-phase electric meter to generate multi-dimensional electric energy data, which is further processed by the data acquisition and high-dimensional representation module; The independent battery compartment module is used to conveniently replace the battery. The independent battery compartment module includes a compartment cover fixed by screws, and the battery status is monitored in real time by the battery power monitoring submodule. The power data can be transmitted to the control module to remind the user to replace the battery; The data acquisition and high-dimensional representation module is used to receive the multi-dimensional electric energy data from the three-manganese copper plus neutral current transformer module, convert it into a high-dimensional representation vector, and standardize and normalize the multi-dimensional electric energy data to generate a time segment of a fixed length; the generated high-dimensional representation vector is transmitted to the Transformer analysis module in real time for subsequent analysis; The Transformer analysis module includes a self-attention mechanism, and is used to receive a high-dimensional representation vector sequence from the data acquisition and high-dimensional representation module, perform multi-level and multi-angle weighted analysis on the high-dimensional representation vector sequence, capture the time dependency and potential patterns in the data, and thus extract feature data for illegal electricity use detection and high-precision intelligent metering; the extracted feature data is further transmitted to the illegal electricity use detection and alarm module and the high-precision intelligent metering module; The illegal electricity use detection and alarm module is used to receive the characteristic data from the Transformer analysis module, detect the serious imbalance of the phase line and the neutral line current, determine whether there is illegal electricity use behavior, and automatically trigger the alarm mechanism or send a control signal to the control module to stop the power supply of the energy meter if an abnormality is detected; The intelligent data processing and communication module is used to compress the high-dimensional representation vector and feature data from the Transformer analysis module to generate a compact representation vector to reduce the data transmission overhead, and upload the data to the power supply company server through carrier communication technology to achieve remote monitoring and intelligent power management; the module also receives and processes the control signal from the control module and passes it to the relevant modules for execution; The high-precision intelligent metering module is used to receive the characteristic data from the Transformer analysis module, and combine the historical data with the real-time data to ensure that the high accuracy of electric energy metering can be maintained under the conditions of high harmonics, nonlinear loads, etc. through refined analysis. The analysis results can be fed back to the control module for automatic adjustment of the system, and optimization suggestions can be transmitted to the intelligent data processing and communication module; The control module is used to receive the analysis results and control signals from the illegal electricity usage detection and alarm module and the high-precision intelligent metering module, perform corresponding control operations, such as adjusting the working status of the electric energy meter or stopping the power supply, and feed back the data and control signals to the power supply company server through the intelligent data processing and communication module so that the power supply company can implement intelligent management.

2. A three-phase electric meter according to claim 1, characterized in that: The three-manganese copper plus neutral line current transformer module can detect the DC component and even harmonic component caused by nonlinear load or other factors in the power grid through real-time monitoring of the three-phase current signal and the neutral line current signal.

3. A three-phase electric meter according to claim 1, characterized in that: The independent battery compartment module further includes a battery power monitoring submodule, which is used to monitor the battery power status of the battery in real time, and when the power is lower than a set threshold, remind the user to replace the battery in time through the LCD display or communication module.

4. A three-phase electric meter according to claim 1, characterized in that: The Transformer analysis module includes a multi-head self-attention mechanism, which is used to weight different features of the high-dimensional representation vector sequence, thereby improving the system's ability to recognize abnormal patterns in current and voltage signals (such as illegal electricity usage, equipment failures, etc.).

5. A three-phase electric meter according to claim 1, characterized in that: The illegal electricity usage detection and alarm module further includes a dynamic threshold adjustment submodule, which dynamically adjusts the detection threshold of illegal electricity usage according to different electricity usage environments and load conditions to improve the sensitivity and accuracy of detection.

6. A three-phase electric meter according to claim 1, characterized in that: The intelligent data processing and communication module uses distributed computing technology to allocate part of the data processing tasks of the electric energy meter to the edge computing node to reduce data transmission delay and improve real-time processing efficiency.

7. A three-phase electric meter according to claim 1, characterized in that: The high-precision intelligent metering module automatically identifies changes in power consumption patterns by comparing and analyzing historical data with real-time data, and generates a prediction model to provide energy-saving optimization suggestions and abnormal warnings.

8. A three-phase electric meter according to any one of claims 1 to 7, characterized in that: Its working method The steps include: S1: The current, voltage, power factor, harmonic component and neutral current data of the three-phase meter are collected through the three-manganese copper plus neutral current transformer module, and the collected data are standardized and normalized; S2: convert the processed multi-dimensional power data into a high-dimensional representation vector and slice it into time segments of fixed length; S3: Use the Transformer analysis module to perform multi-level and multi-angle self-attention analysis on the high-dimensional representation vector sequence to extract the temporal dependencies and potential patterns in the data; S4: Based on the analysis results, the balance of phase and neutral currents is detected through the illegal power usage detection and alarm module to determine whether there is illegal power usage. If an abnormality is detected, an alarm is triggered or the power meter is controlled to stop supplying power; S5: compress the high-dimensional representation vector and upload the data to the power supply company server through the intelligent data processing and communication module to achieve remote monitoring and data management; S6: Through the high-precision intelligent metering module, real-time data and historical data are compared and analyzed to generate high-precision electricity metering results and electricity consumption pattern predictions, and provide suggestions for optimizing energy consumption management.

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