Intelligent current sensor and method

Abstract

The invention provides an intelligent current sensor and method, and the method comprises the steps: carrying out the state offset estimation of the current monitored by sensor nodes according to the time-space relation between sensor nodes, and obtaining the state offset of the current of the sensor nodes; extracting the electromagnetic interference quantity of each sensor node from the electromagnetic interference information, and determining an electromagnetic coupling coefficient of common-mode interference between the sensor node and other sensor nodes according to the array relationship between the sensor nodes and all the electromagnetic interference quantities; determining the interference compensation amount of each sensor node current through the state offset of the sensor node current and all the electromagnetic coupling coefficients; and when the state offset of the current of the sensor node is greater than a preset offset threshold value, adaptive compensation is carried out on the monitored current according to the interference compensation amount to obtain a compensation current. By adopting the scheme of the application, adaptive compensation of the intelligent current sensor to the monitored current data can be realized, so that the measurement reliability of the multi-phase power system is improved.

Description

Technical Field

[0001] The present application relates to the technical field of intelligent sensors, and more specifically, to an intelligent current sensor and method. Background Art

[0002] Smart sensors play a key role in current measurement. Their core is to sense current changes in real time and perform intelligent analysis and processing of data through integrated sensing modules, signal processing units and data communication interfaces. Compared with traditional sensors, the built-in algorithms of smart sensors can filter, compensate and calibrate the measurement data, thereby improving the stability of the measurement results.

[0003] In the prior art, current monitoring of multi-phase power systems mainly relies on traditional current sensors. These sensors can effectively obtain current data under normal circumstances, but their accuracy and reliability are seriously affected when facing an electromagnetic interference environment. Electromagnetic interference can cause distortion of the sensor sensing signal, thereby causing the measurement data to be offset. In addition, coupling interference is generated between different sensor nodes monitoring each phase circuit due to the interaction of electromagnetic fields. This interference not only affects the measurement results of a single sensor, but also further amplifies the deviation of the entire test system through the coupling effect, making the temporal and spatial consistency of the current monitoring data worse. Therefore, how to achieve adaptive compensation of the monitoring current data by intelligent current sensors to improve the measurement reliability of multi-phase power systems has become a difficult problem faced by the industry. Summary of the invention

[0004] The present application provides an intelligent current sensor and method, which can realize adaptive compensation of the intelligent current sensor to the monitored current data, thereby improving the measurement reliability of the multi-phase power system.

[0005] In a first aspect, the present application provides a compensation method for an intelligent current sensor, comprising the following steps: Use intelligent current sensors to monitor the current status of each phase circuit in a multi-phase power system in real time, and then obtain the current monitored by the sensor nodes in each phase circuit; According to the spatiotemporal relationship between the sensor nodes, the state offset of the current monitored by each sensor node is estimated to obtain the state offset of the current of each sensor node; Real-time detection of electromagnetic interference information received by intelligent current sensors in monitoring multi-phase power systems, extraction of electromagnetic interference quantities of each sensor node from the electromagnetic interference information, and determination of electromagnetic coupling coefficients of common-mode interference between each sensor node and other sensor nodes based on the array relationship of each sensor node and all electromagnetic interference quantities; Determine the interference compensation amount of each sensor node current through the state offset of each sensor node current and all electromagnetic coupling coefficients; When the state offset of each sensor node current is greater than a preset offset threshold, adaptive compensation is performed on the current monitored by the corresponding sensor node in the intelligent current sensor according to the interference compensation amount of each sensor node current to obtain a compensation current of the corresponding sensor node.

[0006] Preferably, the state offset of the current monitored by each sensor node is estimated based on the spatiotemporal relationship between the sensor nodes to obtain the state offset of the current of each sensor node, specifically comprising: Obtain historical current data monitored by each sensor node; Determine the spatiotemporal relationship between each sensor node through all historical current data; For the current monitored by each sensor node, based on the spatiotemporal relationship, a support vector machine is used to perform regression analysis on the current state monitored by the sensor node to obtain a state estimation value of the current; The state offset of the current of the sensor node is determined by the current monitored by the sensor node and the state estimation value, thereby obtaining the state offset of the current of each sensor node.

[0007] Preferably, extracting the electromagnetic interference amount of each sensor node from the electromagnetic interference information specifically includes: Extracting electromagnetic interference signals of each sensor node from the electromagnetic interference information; For the electromagnetic interference signals of each sensor node, the spectrum analysis is performed on the electromagnetic interference signals to extract the interference components of the electromagnetic interference frequency band; Based on the amplitude integration method, the electromagnetic interference amount of the sensor node is determined according to the interference component, and then the electromagnetic interference amount of each sensor node is obtained.

[0008] Preferably, determining the electromagnetic coupling coefficient of the common mode interference between each sensor node and other sensor nodes according to the array relationship of each sensor node and all electromagnetic interference quantities specifically includes: Determine the array relationship of each sensor node according to the physical location information of each sensor node and the connection relationship between each sensor node; A sensor node is selected as a selected sensor node, and the dependency relationship of electromagnetic common mode interference between the selected sensor node and other sensor nodes is determined according to all electromagnetic interference quantities; The electromagnetic coupling coefficient of common mode interference between the selected sensor node and other sensor nodes is determined through the array relationship and the dependency relationship of electromagnetic common mode interference between the selected sensor node and other sensor nodes, and the electromagnetic coupling coefficient of common mode interference between the remaining sensor nodes and other sensor nodes is further determined.

[0009] Preferably, determining the interference compensation amount of each sensor node current through the state offset of each sensor node current and all electromagnetic coupling coefficients specifically includes: Selecting a sensor node as a selected sensor node; Get the average current value monitored by each sensor node; Determine the compensation factor of the current interference of the selected sensor node by the electromagnetic coupling coefficient of the common mode interference between the selected sensor node and other sensor nodes and all the average current values; Compensating the state offset of the current of the selected sensor node according to the compensation factor to obtain the interference compensation amount of the current of the selected sensor node; Continue to determine the interference compensation amount of the remaining sensor node current.

[0010] Preferably, the intelligent current sensor is a current measuring device integrating multiple sensor nodes.

[0011] Preferably, the multi-phase power system is a three-phase power system.

[0012] In a second aspect, the present application provides an intelligent current sensor, which includes a compensation unit, and the compensation unit includes: A monitoring module is used to monitor the current state of each phase circuit in the multi-phase power system in real time using an intelligent current sensor, and then obtain the current monitored by the sensor node in each phase circuit; A processing module, used for estimating the state offset of the current monitored by each sensor node according to the spatiotemporal relationship between each sensor node, to obtain the state offset of the current of each sensor node; The processing module is also used to detect in real time the electromagnetic interference information received by the intelligent current sensor in monitoring the multi-phase power system, extract the electromagnetic interference amount of each sensor node from the electromagnetic interference information, and determine the electromagnetic coupling coefficient of the common mode interference between each sensor node and other sensor nodes according to the array relationship of each sensor node and all the electromagnetic interference amounts; The processing module is further used to determine the interference compensation amount of each sensor node current through the state offset of each sensor node current and all electromagnetic coupling coefficients; The compensation module is used to adaptively compensate the current monitored by the corresponding sensor node in the intelligent current sensor according to the interference compensation amount of each sensor node current when the state offset of each sensor node current is greater than a preset offset threshold, so as to obtain the compensation current of the corresponding sensor node.

[0013] In a third aspect, the present application provides a computer device, comprising a memory and a processor, wherein the memory stores codes, and the processor is configured to obtain the codes and execute the compensation method of the above-mentioned intelligent current sensor.

[0014] In a fourth aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the compensation method of the above-mentioned intelligent current sensor is implemented.

[0015] The technical solution provided by the embodiments disclosed in this application has the following beneficial effects: In an embodiment of the present application, an intelligent current sensor is used to monitor the current state of each phase circuit in a multi-phase power system in real time, and then the current monitored by the sensor node in each phase circuit is obtained; the state offset of the current monitored by each sensor node is estimated based on the spatiotemporal relationship between each sensor node, and the state offset of the current of each sensor node is obtained; the electromagnetic interference information received by the intelligent current sensor in monitoring the multi-phase power system is detected in real time, the electromagnetic interference amount of each sensor node is extracted from the electromagnetic interference information, and the electromagnetic coupling coefficient of the common-mode interference between each sensor node and other sensor nodes is determined based on the array relationship of each sensor node and all the electromagnetic interference amounts; the interference compensation amount of the current of each sensor node is determined by the state offset of the current of each sensor node and all the electromagnetic coupling coefficients; when the state offset of the current of each sensor node is greater than a preset offset threshold, the current monitored by the corresponding sensor node in the intelligent current sensor is adaptively compensated based on the interference compensation amount of the current of each sensor node, and the compensation current of the corresponding sensor node is obtained.

[0016] It can be seen that the present application determines the interference compensation amount of the sensor node current through the state offset of the sensor node current and all the electromagnetic coupling coefficients, and then adaptively compensates the current monitored by the sensor node according to the interference compensation amount to obtain the compensated current; firstly, the state offset of the current monitored by the sensor node is estimated according to the spatiotemporal relationship between the sensor nodes, and the state offset of the current measured by each sensor node can be accurately identified, which can reduce the measurement error caused by the distribution of sensor nodes; secondly, the electromagnetic coupling coefficient of the common mode interference between the sensor nodes is determined according to the array relationship between the sensor nodes and the electromagnetic interference amount of each sensor node. The electromagnetic coupling coefficient can be used to measure the correlation degree of the electromagnetic common mode interference between the sensor nodes, thereby enhancing the system's perception of the intensity of electromagnetic interference; then , by determining the interference compensation amount of the sensor node current through the state offset of the sensor node current and all the electromagnetic coupling coefficients, the degree of influence of the sensor node on the interference can be accurately quantified, so as to perform data correction in a targeted manner, eliminate the cumulative effects of common-mode interference and measurement offset, and enhance the accuracy and consistency of the measured current data; finally, when it is detected that the state offset of the sensor node current exceeds the preset threshold, the sensing system adaptively compensates the monitored current data according to the interference compensation amount to generate a compensation current, which can ensure the temporal and spatial consistency of the current measurement of each phase in the multi-phase power system, and also significantly improve the reliability of the measured current data; in summary, the present application scheme can realize the adaptive compensation of the monitored current data by the intelligent current sensor, thereby improving the measurement reliability of the multi-phase power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 is an exemplary flow chart of a compensation method of an intelligent current sensor according to some embodiments of the present application; Figure 2 is a schematic structural diagram of a differential amplifier circuit according to some embodiments of the present application; Figure 3 is a schematic diagram of a process for determining the amount of electromagnetic interference according to some embodiments of the present application; Figure 4 is a schematic diagram of the structure of a compensation unit according to some embodiments of the present application; Figure 5 It is a structural schematic diagram of a computer device for implementing a compensation method for an intelligent current sensor according to some embodiments of the present application. DETAILED DESCRIPTION

[0018] In order to better understand the technical solution of the present application, the technical solution of the present application will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0019] refer to Figure 1, which is an exemplary flow chart of a compensation method of an intelligent current sensor according to some embodiments of the present application. The compensation method 100 of the intelligent current sensor mainly includes the following steps: In step 101, an intelligent current sensor is used to monitor the current state of each phase circuit in a multi-phase power system in real time, and then the current monitored by the sensor node in each phase circuit is obtained.

[0020] It should be noted that the intelligent current sensor in the present application is a current measuring device that integrates multiple sensor nodes and is used to monitor the current status in the power system in real time; in addition, the multi-phase power system in the present application is a three-phase power system. In other embodiments, the multi-phase power system can also be a power system with a higher number of phases, which is not limited here.

[0021] It should also be noted that the reference Figure 2 As shown, the figure is a structural schematic diagram of the differential amplifier circuit in some embodiments of the present application. A differential amplifier circuit is provided in each sensor node. The differential amplifier circuit can realize the gain amplification of the electrical signal. It amplifies the input current signal by differential input and differential mode output to obtain the measured current. The differential amplifier circuit mainly includes two input signals, an operational amplifier, a resistor and a feedback resistor, and an output signal. The triangle symbol in the figure represents an operational amplifier, which has two input terminals (a positive input terminal and a negative input terminal) and an output terminal. Vref and Vin are two input signals, which are connected to the positive input terminal and the negative input terminal of the operational amplifier through the feedback resistor R′ and the resistor R. Vout is the output voltage of the operational amplifier, which reflects the difference between the two input voltages. In order to realize accurate differential amplification, R=R′ is usually required. The circuit can provide gain and has a high suppression ratio for common mode signals (signals with the same two input terminals), thereby realizing accurate monitoring of current.

[0022] In specific implementation, the sensor nodes of the intelligent current sensor can be arranged in each phase circuit of the multi-phase power system to collect the current data of each sensor node in real time. The sensor node obtains the current signal through the high-speed sampling circuit and uses the built-in filtering module to perform preliminary processing on the data; then, the processed current data is uploaded to the central control unit through the communication network. The central unit integrates the data from different sensor nodes according to the time synchronization mechanism to form a comprehensive current status monitoring of the multi-phase power system.

[0023] In step 102, a state offset estimation is performed on the current monitored by each sensor node according to the spatiotemporal relationship between the sensor nodes to obtain the state offset of the current of each sensor node.

[0024] In some embodiments, the state offset of the current monitored by each sensor node is estimated based on the spatiotemporal relationship between the sensor nodes, and the state offset of the current of each sensor node is obtained by the following steps: Obtain historical current data monitored by each sensor node; Determine the spatiotemporal relationship between each sensor node through all historical current data; For the current monitored by each sensor node, based on the spatiotemporal relationship, a support vector machine is used to perform regression analysis on the current state monitored by the sensor node to obtain a state estimation value of the current; The state offset of the current of the sensor node is determined by the current monitored by the sensor node and the state estimation value, thereby obtaining the state offset of the current of each sensor node.

[0025] In the specific implementation, first, the historical current data monitored by each sensor node within a preset time period is obtained from the database, and the historical current data monitored by each sensor node is converted into a current time series according to the order of acquisition time, so as to obtain the current time series of each sensor node; secondly, the time synchronization and spatial correlation of the current time series of each sensor node are analyzed by statistical analysis methods (such as Pearson correlation coefficient), and the analysis results are used as the spatiotemporal relationship between each sensor node. For example, the correlation between the geographical distribution of sensor nodes and historical current fluctuations is used to generate a spatiotemporal dependency graph containing weights between sensor nodes. The spatiotemporal dependency graph can reflect the spatiotemporal relationship between each sensor node. ; Then, the support vector machine regression model is used to take the spatiotemporal relationship of each sensor node as a constraint feature, and the support vector machine regression model is trained together with all historical current data to learn the spatiotemporal distribution characteristics of the current. In real-time calculation, the current monitored current value of each sensor node is input into the trained support vector machine regression model to obtain the state estimation value of the node current, wherein the support vector machine can effectively process the nonlinear relationship of the current state through kernel functions (such as RBF kernel functions), thereby ensuring that the estimation result is highly matched with the actual situation; finally, by comparing the real-time monitored current of each sensor node with its state estimation value, the difference between the two is used as the state offset of the current of each sensor node.

[0026] It should be noted that the state offset in this application is an indicator to measure the degree of deviation of the current state from the normal state. The state offset can reflect the magnitude of external interference to the current during sensor node monitoring. It is an important basis for identifying system operation abnormalities, evaluating sensor accuracy, and implementing compensation adjustments.

[0027] In step 103, the electromagnetic interference information received by the intelligent current sensor in the monitoring multi-phase power system is detected in real time, the electromagnetic interference amount of each sensor node is extracted from the electromagnetic interference information, and the electromagnetic coupling coefficient of the common mode interference between each sensor node and other sensor nodes is determined based on the array relationship of each sensor node and all the electromagnetic interference amounts.

[0028] It should be noted that the electromagnetic interference information in this application refers to the state information of electromagnetic interference when monitoring the current state of a multi-phase power system using an intelligent current sensor. In specific implementation, a high-sensitivity Hall sensor can be deployed near each sensor node to collect the electromagnetic field strength signal in the environment in real time. The Hall sensor converts the environmental magnetic field signal into a voltage signal. After the amplification and filtering circuit removes the high-frequency noise, the sensor digitizes the signal through a high-speed data acquisition module and transmits it to the central processing unit through a data communication module. The central processing unit combines the real-time monitored electromagnetic field data to analyze the distribution characteristics and changing trends of the electromagnetic interference, and then based on the operating frequency characteristics of the multi-phase power system, distinguishes between power frequency interference and random noise signals through spectrum analysis, and collects all the extracted power frequency interference signals into a set as electromagnetic interference information.

[0029] In some embodiments, reference Figure 3 As shown, this figure is a schematic diagram of the process of determining the electromagnetic interference amount in some embodiments of the present application. In this embodiment, the electromagnetic interference amount of each sensor node can be extracted from the electromagnetic interference information by the following steps: In step 1031, the electromagnetic interference signal of each sensor node is extracted from the electromagnetic interference information; In step 1032, for the electromagnetic interference signal of each sensor node, the spectrum analysis is performed on the electromagnetic interference signal to extract the interference component of the electromagnetic interference frequency band; In step 1033, based on the amplitude integration method, the electromagnetic interference amount of the sensor node is determined according to the interference component, and then the electromagnetic interference amount of each sensor node is obtained.

[0030] In the specific implementation, first, the electromagnetic interference signal of each sensor node is separated from the electromagnetic interference information collected by the sensor system to ensure that each electromagnetic interference signal contains the interference characteristics unique to each sensor node; then, each extracted electromagnetic interference signal is processed by Fast Fourier Transform (FFT) to convert the time domain signal into a frequency domain representation, and the main components and their corresponding amplitudes of the target interference frequency segment (such as power frequency interference, harmonic interference, etc.) are identified by analyzing the spectrum diagram, and the frequency and amplitude information are extracted as key interference features (i.e., interference components). The irrelevant frequency components can be filtered out by using the threshold setting (such as the background noise threshold), so as to focus on the interference analysis of the target frequency segment; finally, the amplitude integration method is used to integrate and calculate the amplitude of the interference frequency segment, and the interference energy of each frequency segment is accumulated to quantify the intensity of the electromagnetic interference, and the intensity is used as the electromagnetic interference amount of the sensor node; the above method is repeated to calculate the electromagnetic interference amount of each sensor node.

[0031] It should be noted that the electromagnetic interference amount in this application refers to a quantitative indicator of the electromagnetic interference intensity to which the sensor node is subjected, which reflects the energy distribution of the interference signal within a specific frequency range.

[0032] In some embodiments, determining the electromagnetic coupling coefficient of the common mode interference between each sensor node and other sensor nodes according to the array relationship of each sensor node and all electromagnetic interference quantities can be implemented by the following steps: Determine the array relationship of each sensor node according to the physical location information of each sensor node and the connection relationship between each sensor node; A sensor node is selected as a selected sensor node, and the dependency relationship of electromagnetic common mode interference between the selected sensor node and other sensor nodes is determined according to all electromagnetic interference quantities; The electromagnetic coupling coefficient of common mode interference between the selected sensor node and other sensor nodes is determined through the array relationship and the dependency relationship of electromagnetic common mode interference between the selected sensor node and other sensor nodes, and the electromagnetic coupling coefficient of common mode interference between the remaining sensor nodes and other sensor nodes is further determined.

[0033] It should be noted that electromagnetic common-mode interference refers to the mutual inductance electromagnetic interference that multiple sensor nodes are simultaneously subjected to. This interference manifests itself as voltage or current changes in the same direction and amplitude on each conductor. Its main sources include external electromagnetic field radiation, power grid noise, and electromagnetic coupling inside the equipment. Electromagnetic common-mode interference is transmitted through mutual inductance or ground loops, which can easily interfere with sensor data and system performance, especially in multi-node distributed systems.

[0034] In the specific implementation, firstly, the graph theory analysis method can be used to determine the array relationship of each sensor node, that is, each sensor node can be set as a plurality of graph nodes according to the corresponding physical position, and then the connection topology between the sensor nodes is used as the connection weight between the graph nodes to generate a connection graph of the sensor nodes, and then the connection graph is mapped into an adjacency matrix, and then the adjacency matrix is ​​used to reflect the array relationship of each sensor node, wherein the elements in the adjacency matrix can reflect the relationship between every two sensor nodes; then, a sensor node is selected as the selected sensor node, and the Pearson correlation coefficient can be used to calculate the correlation between the electromagnetic interference amount of the selected sensor node and other sensor nodes, and then the average correlation is used to describe the selected sensor node and other The dependency of electromagnetic common-mode interference between sensor nodes; finally, a coupling model can be initialized. The coupling model is a model obtained by training a support vector machine. The adjacency matrix obtained by the above calculation is used as the constraint parameter of the coupling model. According to the adjacency matrix, the coupling model can learn the connection relationship between each sensor node, and then the dependency of electromagnetic common-mode interference between the selected sensor node and other sensor nodes is used as the adjustment parameter of the coupling model. The electromagnetic coupling coefficient of common-mode interference between the selected sensor node and other sensor nodes can be obtained through the coupling model analysis, wherein the objective function of the coupling model is the electromagnetic field coupling formula. The above steps are repeated to obtain the electromagnetic coupling coefficient of common-mode interference between the remaining sensor nodes and other sensor nodes.

[0035] It should be noted that the electromagnetic coupling coefficient in the present application is an indicator for measuring the degree of correlation of electromagnetic common-mode interference between sensor nodes. The larger the electromagnetic coupling coefficient, the greater the degree of correlation of electromagnetic common-mode interference between sensor nodes. The smaller the electromagnetic coupling coefficient, the smaller the degree of correlation of electromagnetic common-mode interference between sensor nodes.

[0036] In step 104, the interference compensation amount of each sensor node current is determined by the state offset of each sensor node current and all electromagnetic coupling coefficients.

[0037] In some embodiments, determining the interference compensation amount of each sensor node current through the state offset of each sensor node current and all electromagnetic coupling coefficients can be implemented by the following steps: Selecting a sensor node as a selected sensor node; Get the average current value monitored by each sensor node; Determine the compensation factor of the current interference of the selected sensor node by the electromagnetic coupling coefficient of the common mode interference between the selected sensor node and other sensor nodes and all the average current values; Compensating the state offset of the current of the selected sensor node according to the compensation factor to obtain the interference compensation amount of the current of the selected sensor node; Continue to determine the interference compensation amount of the remaining sensor node current.

[0038] In the specific implementation, first, a sensor node is selected as a reference sensor node, and the average current value of each sensor node is obtained from the monitoring data of all sensor nodes. The calculation of the average current value can smooth the transient influence of interference through the sliding window method, so as to more accurately reflect the reference current state of the sensor node; then, combined with the common-mode interference electromagnetic coupling coefficient between the sensor reference node and other sensor nodes, the compensation factor of the current interference of the sensor node is calculated through a mathematical model, and the differential compensation can be calculated by the weighted sum of the electromagnetic coupling coefficient and the average current value, that is, compensation factor = electromagnetic coupling coefficient * average current value * weight W, where the weight W can be determined by the variance of the sensor node monitoring current, that is, the natural exponential function value of the opposite number of the variance can be used as the weight W; finally, the state offset of the reference sensor node current is corrected according to the compensation factor, and the state offset is combined with the compensation factor to correct the interference influence on the sensor node, that is, interference compensation amount = compensation factor * state offset; finally, the above steps are repeated to calculate all sensor nodes, and the interference compensation amount of their currents is calculated one by one.

[0039] It should be noted that the interference compensation amount in this application is a correction parameter used to eliminate the influence of electromagnetic interference on sensor nodes. By making real-time corrections to sensor data, the true state of the current signal is restored to ensure the accuracy of the monitoring results and the stable operation of the system. In multi-phase power systems, it quantifies and offsets interference effects, enabling sensors to maintain high-precision measurement performance in complex electromagnetic environments.

[0040] In step 105, when the state offset of each sensor node current is greater than a preset offset threshold, adaptive compensation is performed on the current monitored by the corresponding sensor node in the intelligent current sensor according to the interference compensation amount of each sensor node current to obtain a compensation current of the corresponding sensor node.

[0041] It should be noted that in the present application, when the state offset of the current of each sensor node is greater than the preset offset threshold, it means that the deviation between the current monitoring data of the sensor node and its normal reference state exceeds the acceptable range of the system, wherein the offset reflects the degree to which the monitoring data is affected by interference or abnormality, and the offset threshold is a judgment benchmark pre-set according to the system accuracy requirements and environmental characteristics. When the offset exceeds the threshold, it indicates that the sensor node has been severely interfered with, and it is necessary to trigger a compensation mechanism to correct the monitoring data to ensure the reliability and accuracy of the monitoring results.

[0042] In some embodiments, adaptive compensation is performed on the current monitored by the corresponding sensor node in the intelligent current sensor according to the interference compensation amount of the current of each sensor node, and the compensation current of the corresponding sensor node can be obtained by the following steps: Build a compensation model; Setting the interference compensation amount of each sensor node current as a compensation parameter of the compensation model; The compensation model is used to adaptively compensate the current monitored by each sensor node in the intelligent current sensor to obtain a compensation current.

[0043] In the specific implementation, first, a compensation model is constructed. The compensation model can be obtained by training based on linear regression or neural network. The compensation model is used to describe the relationship between the current monitored by the sensor node and the interference compensation amount; then, in the compensation model, the interference compensation amount of each sensor node is input as a compensation parameter; finally, the real-time monitoring current of the sensor node can be used as the input variable of the compensation model, and it works together with the compensation parameter to output the compensated current value. For the linear regression model, the formula compensation current = monitoring current - interference compensation amount can be used. If a neural network model is used, the interference compensation amount and the real-time monitoring current can be used as features. The network parameters can be optimized by training historical data to achieve higher accuracy of nonlinear compensation. Finally, the compensated current data is used as the output of each node, which can effectively reduce the impact of interference on monitoring accuracy.

[0044] On the other hand, in some embodiments, the present application provides an intelligent current sensor, the intelligent current sensor comprising a compensation unit, referring to Figure 4 , which is a schematic diagram of the structure of a compensation unit according to some embodiments of the present application, the compensation unit 400 includes: a monitoring module 401, a processing module 402 and a compensation module 403, which are described as follows: Monitoring module 401, in the present application, the monitoring module 401 is mainly used to use intelligent current sensors to monitor the current state of each phase circuit in a multi-phase power system in real time, and then obtain the current monitored by the sensor node in each phase circuit; Processing module 402, in the present application, the processing module 402 is used to estimate the state offset of the current monitored by each sensor node according to the spatiotemporal relationship between each sensor node, so as to obtain the state offset of the current of each sensor node; The processing module 402 in the present application is also used to detect in real time the electromagnetic interference information received by the intelligent current sensor in monitoring the multi-phase power system, extract the electromagnetic interference amount of each sensor node from the electromagnetic interference information, and determine the electromagnetic coupling coefficient of the common mode interference between each sensor node and other sensor nodes according to the array relationship of each sensor node and all the electromagnetic interference amounts; In the present application, the processing module 402 is further used to determine the interference compensation amount of each sensor node current through the state offset of each sensor node current and all electromagnetic coupling coefficients; Compensation module 403. In the present application, compensation module 403 is mainly used to adaptively compensate the current monitored by the corresponding sensor node in the intelligent current sensor according to the interference compensation amount of the current of each sensor node when the state offset of the current of each sensor node is greater than a preset offset threshold, so as to obtain the compensation current of the corresponding sensor node.

[0045] In addition, the present application also provides a computer device, which includes a memory and a processor, wherein the memory stores codes, and the processor is configured to obtain the codes and execute the compensation method of the above-mentioned intelligent current sensor.

[0046] In some embodiments, reference Figure 5 , which is a schematic diagram of the structure of a computer device for implementing the compensation method of the intelligent current sensor according to some embodiments of the present application. The compensation method of the intelligent current sensor in the above embodiment can be achieved by Figure 5 The computer device 500 shown in the figure is implemented, and the computer device 500 includes at least one processor 501, a communication bus 502, a memory 503 and at least one communication interface 504.

[0047] The processor 501 may be a general-purpose central processing unit (CPU) or an application-specific integrated circuit (ASIC).

[0048] The communication bus 502 may be used to transmit information between the above-mentioned components.

[0049] The memory 503 may be a read-only memory (ROM) or other types of static storage devices that can store static information and instructions, a random access memory (RAM) or other types of dynamic storage devices that can store information and instructions, or an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, an optical disc storage (including a compressed optical disc, a laser disc, an optical disc, a digital versatile disc, a Blu-ray disc, etc.), a magnetic disk or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of an instruction or data structure and can be accessed by a computer, but is not limited thereto. The memory 503 may exist independently and be connected to the processor 501 via the communication bus 502. The memory 503 may also be integrated with the processor 501.

[0050] The memory 503 is used to store the program code for executing the solution of the present application, and the execution is controlled by the processor 501. The processor 501 is used to execute the program code stored in the memory 503. The program code may include one or more software modules. The compensation method of the intelligent current sensor in the above embodiment can be implemented by the processor 501 and one or more software modules in the program code in the memory 503.

[0051] The communication interface 504 uses any transceiver or other device for communicating with other devices or communication networks, such as Ethernet, radio access network (RAN), wireless local area networks (WLAN), etc.

[0052] In a specific implementation, as an embodiment, a computer device may include multiple processors, each of which may be a single-CPU processor or a multi-CPU processor. The processor here may refer to one or more devices, circuits, and / or processing cores for processing data (e.g., computer program instructions).

[0053] The above-mentioned computer device may be a general-purpose computer device or a special-purpose computer device. In a specific implementation, the computer device may be a desktop computer, a portable computer, a network server, a personal digital assistant (PDA), a mobile phone, a tablet computer, a wireless terminal device, a communication device or an embedded device. The embodiment of the present application does not limit the type of computer device.

[0054] In addition, the present application also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the compensation method of the above-mentioned intelligent current sensor is implemented.

[0055] Although the preferred embodiments of the present application have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present application.

[0056] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. A compensation method for an intelligent current sensor, characterized in that: The steps include: Use intelligent current sensors to monitor the current status of each phase circuit in a multi-phase power system in real time, and then obtain the current monitored by the sensor nodes in each phase circuit; According to the spatiotemporal relationship between the sensor nodes, the state offset of the current monitored by each sensor node is estimated to obtain the state offset of the current of each sensor node; Real-time detection of electromagnetic interference information received by intelligent current sensors in monitoring multi-phase power systems, extraction of electromagnetic interference quantities of each sensor node from the electromagnetic interference information, and determination of electromagnetic coupling coefficients of common-mode interference between each sensor node and other sensor nodes based on the array relationship of each sensor node and all electromagnetic interference quantities; Determine the interference compensation amount of each sensor node current through the state offset of each sensor node current and all electromagnetic coupling coefficients; When the state offset of each sensor node current is greater than a preset offset threshold, adaptive compensation is performed on the current monitored by the corresponding sensor node in the intelligent current sensor according to the interference compensation amount of each sensor node current to obtain a compensation current of the corresponding sensor node.

2. The method according to claim 1, characterized in that The state offset of the current monitored by each sensor node is estimated based on the spatiotemporal relationship between the sensor nodes to obtain the state offset of the current of each sensor node. Specifically, the state offset of the current of each sensor node is estimated: Obtain historical current data monitored by each sensor node; Determine the spatiotemporal relationship between each sensor node through all historical current data; For the current monitored by each sensor node, based on the spatiotemporal relationship, a support vector machine is used to perform regression analysis on the current state monitored by the sensor node to obtain a state estimation value of the current; The state offset of the current of the sensor node is determined by the current monitored by the sensor node and the state estimation value, thereby obtaining the state offset of the current of each sensor node.

3. The method according to claim 1, characterized in that Extracting the electromagnetic interference amount of each sensor node from the electromagnetic interference information specifically includes: Extracting electromagnetic interference signals of each sensor node from the electromagnetic interference information; For the electromagnetic interference signals of each sensor node, the spectrum analysis is performed on the electromagnetic interference signals to extract the interference components of the electromagnetic interference frequency band; Based on the amplitude integration method, the electromagnetic interference amount of the sensor node is determined according to the interference component, and then the electromagnetic interference amount of each sensor node is obtained.

4. The method according to claim 1, characterized in that The electromagnetic coupling coefficient of the common mode interference between each sensor node and other sensor nodes is determined based on the array relationship of each sensor node and all electromagnetic interference quantities, specifically including: Determine the array relationship of each sensor node according to the physical location information of each sensor node and the connection relationship between each sensor node; A sensor node is selected as a selected sensor node, and the dependency relationship of electromagnetic common mode interference between the selected sensor node and other sensor nodes is determined according to all electromagnetic interference quantities; The electromagnetic coupling coefficient of common mode interference between the selected sensor node and other sensor nodes is determined through the array relationship and the dependency relationship of electromagnetic common mode interference between the selected sensor node and other sensor nodes, and the electromagnetic coupling coefficient of common mode interference between the remaining sensor nodes and other sensor nodes is further determined.

5. The method according to claim 1, characterized in that Determining the interference compensation amount of each sensor node current through the state offset of each sensor node current and all electromagnetic coupling coefficients specifically includes: Selecting a sensor node as a selected sensor node; Get the average current value monitored by each sensor node; Determine the compensation factor of the current interference of the selected sensor node by the electromagnetic coupling coefficient of the common mode interference between the selected sensor node and other sensor nodes and all the average current values; Compensating the state offset of the current of the selected sensor node according to the compensation factor to obtain the interference compensation amount of the current of the selected sensor node; Continue to determine the interference compensation amount of the remaining sensor node current.

6. The method according to claim 1, characterized in that The intelligent current sensor is a current measurement device integrating multiple sensor nodes.

7. The method according to claim 1, characterized in that The multi-phase power system is a three-phase power system.

8. An intelligent current sensor, comprising a compensation unit, characterized in that: The compensation unit comprises: A monitoring module is used to monitor the current state of each phase circuit in the multi-phase power system in real time using an intelligent current sensor, and then obtain the current monitored by the sensor node in each phase circuit; A processing module, used for estimating the state offset of the current monitored by each sensor node according to the spatiotemporal relationship between each sensor node, to obtain the state offset of the current of each sensor node; The processing module is also used to detect in real time the electromagnetic interference information received by the intelligent current sensor in monitoring the multi-phase power system, extract the electromagnetic interference amount of each sensor node from the electromagnetic interference information, and determine the electromagnetic coupling coefficient of the common mode interference between each sensor node and other sensor nodes according to the array relationship of each sensor node and all the electromagnetic interference amounts; The processing module is further used to determine the interference compensation amount of each sensor node current through the state offset of each sensor node current and all electromagnetic coupling coefficients; The compensation module is used to adaptively compensate the current monitored by the corresponding sensor node in the intelligent current sensor according to the interference compensation amount of each sensor node current when the state offset of each sensor node current is greater than a preset offset threshold, so as to obtain the compensation current of the corresponding sensor node.

9. A computer device, comprising a memory and a processor, wherein the memory stores a code, characterized in that: The processor is configured to obtain the code and execute the compensation method of the smart current sensor according to any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the compensation method of the intelligent current sensor according to any one of claims 1 to 7 is implemented.

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