Current detection system and current detection method

Abstract

The application relates to a current detection system and a current detection method. The current detection system comprises a current sensor array, an evaluation module and a parameter control module which are connected with each other; the current sensor array is used for performing current detection on a plurality of detection areas where the current detection system is located, and obtaining a current detection result; the evaluation module is used for evaluating the performance of the current detection system according to the current detection result and a response parameter of the current detection system, and obtaining an evaluation result; and the parameter control module is used for adjusting a circuit parameter in the current detection system in the case that the evaluation result indicates that the current detection system is abnormal. The embodiments of the application can adjust the circuit parameter in the current detection system in real time through the evaluation module and the parameter control module, so that the current detection is performed again by using the adjusted circuit parameter, the accuracy of the current detection can be improved, and the stability and reliability of the current sensor array can be improved.

Description

Technical Field

[0001] This application relates to the field of power system technology, and in particular to a current detection system and a current detection method. Background Technology

[0002] With the development of power systems, the demand for current measurement is increasing. Currently, current sensors can be used to measure and monitor current, such as fluxgate current sensors. Fluxgate current sensors are sensors designed and manufactured based on the fluxgate effect principle. Fluxgate current sensors are widely used in power monitoring, fault detection and other fields.

[0003] However, the current detection system in which the traditional fluxgate current sensor is located suffers from low detection accuracy. Summary of the Invention

[0004] Therefore, it is necessary to provide a current detection system and current detection method that can improve the accuracy of current detection in response to the above-mentioned technical problems.

[0005] In a first aspect, this application provides a current detection system, which includes an array of current sensors, an evaluation module, and a parameter control module connected to each other;

[0006] The current sensor array is used to detect current in multiple detection areas where the current detection system is located, and to obtain current detection results.

[0007] The evaluation module is used to evaluate the performance of the current detection system based on the current detection result and the response parameters of the current detection system, and obtain the evaluation result.

[0008] The parameter control module is used to adjust the circuit parameters of the current detection system when the evaluation result indicates that the current detection system is malfunctioning.

[0009] In one embodiment, the current sensor array includes multiple fluxgate current sensors connected in parallel;

[0010] Each fluxgate current sensor is used to detect the current to be measured in the detection area corresponding to each fluxgate current sensor, and to obtain the current detection result corresponding to each detection area.

[0011] In one embodiment, the fluxgate current sensor includes a magnetic core and a winding, wherein the magnetic core is made of a material with a permeability higher than a preset permeability threshold, and the number of turns and shape of the winding are determined based on a winding simulation model under different environmental conditions.

[0012] In one embodiment, the parameter control module is specifically used to adjust the circuit parameters of the current detection system using a parameter adjustment algorithm when the evaluation result indicates that the current detection system is abnormal; the parameter adjustment algorithm includes at least one of fuzzy control algorithm, reinforcement learning algorithm and filtering algorithm.

[0013] In one embodiment, the parameter control module is specifically used to adjust the circuit parameters of the current detection system using the fuzzy control algorithm and the reinforcement learning algorithm when the evaluation result indicates that the current detection system is abnormal.

[0014] In one embodiment, the parameter control module is specifically used to adjust the filter parameters in the circuit parameters using the filtering algorithm when the evaluation result indicates that the current detection system is malfunctioning.

[0015] In one embodiment, the current detection system further includes a desaturation detection module, which is used to detect desaturation faults based on the circuit parameters and obtain fault detection results.

[0016] In one embodiment, the desaturation detection module includes a signal generation module, which generates an excitation signal when the fault detection result indicates that the current detection system has a desaturation fault.

[0017] In one embodiment, the desaturation detection module further includes a signal adjustment module, which is used to adjust the signal parameters of the excitation signal according to the circuit parameters.

[0018] Secondly, this application also provides a current detection method applied to a current detection system, the current detection system comprising an interconnected current sensor array, an evaluation module, and a parameter control module, the method comprising:

[0019] The current sensor array is controlled to detect the current in multiple detection areas where the current detection system is located, and the current detection results are obtained.

[0020] The evaluation module is controlled to evaluate the performance of the current detection system based on the current detection results and the response parameters of the current detection system, and obtain the evaluation results.

[0021] When the evaluation result indicates that the current detection system is malfunctioning, the parameter control module adjusts the circuit parameters of the current detection system.

[0022] Thirdly, this application also provides a computer device. The computer device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the steps of the method in any of the embodiments of the second aspect described above.

[0023] Fourthly, this application also provides a computer-readable storage medium. The computer-readable storage medium stores a computer program thereon, which, when executed by a processor, implements the steps of the method in any of the embodiments of the second aspect described above.

[0024] Fifthly, this application also provides a computer program product. The computer program product includes a computer program that, when executed by a processor, implements the steps of the method in any of the embodiments of the second aspect described above.

[0025] The aforementioned current detection system and method include a current detection system comprising an interconnected current sensor array, an evaluation module, and a parameter control module. The current sensor array is used to detect current in multiple detection areas of the current detection system, obtaining current detection results. The evaluation module is used to evaluate the performance of the current detection system based on the current detection results and the system's response parameters, obtaining an evaluation result. The parameter control module is used to adjust the circuit parameters in the current detection system when the evaluation result indicates an abnormality. Since the current sensor array in this embodiment can detect current in multiple detection areas of the current detection system separately, it can obtain more accurate current detection results. Furthermore, this application can adjust the circuit parameters in the current detection system in real time through the evaluation module and the parameter control module, ensuring that the circuit parameters in the current detection system remain within the normal range. Using the adjusted circuit parameters for current detection further improves the accuracy of current detection, as well as the stability and reliability of the current sensor array. Attached Figure Description

[0026] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the description of the embodiments of this application or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0027] Figure 1 This is a schematic diagram of the current detection system in one embodiment;

[0028] Figure 2 This is a schematic diagram of the current detection system in another embodiment;

[0029] Figure 3 This is a flowchart illustrating a current detection method in one embodiment;

[0030] Figure 4 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0031] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0032] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains; the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the application; the terms “comprising” and “having”, and any variations thereof, in the specification, claims, and foregoing description of the drawings are intended to cover non-exclusive inclusion.

[0033] In the description of the embodiments of this application, technical terms such as "first" and "second" are used only to distinguish different objects and should not be construed as indicating or implying relative importance or implicitly specifying the number, specific order, or primary and secondary relationship of the indicated technical features. In the description of the embodiments of this application, "multiple" means two or more, unless otherwise explicitly defined.

[0034] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0035] With the development of power systems, the demand for current measurement is increasing. Currently, current sensors, such as shunts, Hall effect sensors, and electromagnetic current transformers, can be used for current measurement and monitoring. While each of these current sensors has its advantages, they still have limitations in different application scenarios, such as measurement accuracy, range limitations, cost, and power consumption. Currently, power systems commonly use fluxgate current sensors, which are sensors designed and manufactured based on the fluxgate effect principle. Fluxgate current sensors are widely used in power monitoring, fault detection, and other fields.

[0036] However, traditional fluxgate current sensors in current detection systems suffer from problems in core material selection, excitation methods, and signal processing. For example, firstly, traditional fluxgate current sensors typically use cobalt magnetic materials as cores; however, the processing and heat treatment of cobalt magnetic materials are relatively complex, increasing production costs and limiting the application range of traditional fluxgate current sensors, especially in power systems where cost control is crucial for large-scale current sensor deployments. Secondly, traditional fluxgate current sensors typically use external excitation sources, which makes the generation and processing of excitation signals relatively complex and requires additional power consumption, further increasing the complexity and cost of the power system. Thirdly, traditional fluxgate current sensors typically use analog circuits for signal processing, including signal amplification, filtering, and phase-sensitive detection. However, analog circuits have low integration, are susceptible to interference, and struggle to achieve high-precision and highly integrated signal processing flows, which is detrimental to... The application of fluxgate current sensors in portable and low-power devices; fourth, the saturation characteristics of the magnetic core material determine the measurement range of the fluxgate current sensor. When the measured current exceeds a certain value, the magnetic core will saturate, causing the output signal of the fluxgate current sensor to distort, reducing measurement accuracy and stability, and resulting in a low measurement range for traditional fluxgate current sensors, thus making them unsuitable for high-current applications; fifth, self-excited oscillating fluxgate circuits are easily affected by external environmental interference under high-frequency signals, leading to reduced measurement accuracy and affecting the stability and reliability of the fluxgate current sensor, thereby reducing its applicability in complex electromagnetic environments and limiting its application range in industrial and power systems; sixth, traditional zero-flux detection technology requires complex analog signal processing modules, which are difficult to simplify and integrate in fluxgate current sensors, affecting the overall performance and market competitiveness of the sensor and limiting its application range. Therefore, current detection systems using traditional fluxgate current sensors suffer from low detection accuracy.

[0037] Therefore, this application proposes a current detection system and a current detection method to solve the above-mentioned technical problems.

[0038] The following mainly introduces the current detection system and current detection method used in this application.

[0039] In one embodiment, such as Figure 1 As shown, a current detection system is provided, which includes an array of current sensors 11, an evaluation module 12, and a parameter control module 13 connected to each other.

[0040] The current sensor array 11 is used to detect the current in multiple detection areas where the current detection system is located, and to obtain the current detection result.

[0041] Evaluation module 12 is used to evaluate the performance of the current detection system based on the current detection results and the response parameters of the current detection system, and obtain the evaluation results.

[0042] The parameter control module 13 is used to adjust the circuit parameters of the current detection system when the evaluation results indicate that the current detection system is abnormal.

[0043] In this embodiment, the current detection system includes a current sensor array 11, an evaluation module 12, and a parameter control module 13. The current sensor array 11 is communicatively connected to the evaluation module 12, the evaluation module 12 is communicatively connected to the parameter control module 13, and the parameter control module 13 is communicatively connected to the current sensor array 11. The current sensor array 11 consists of multiple fluxgate current sensors. Both the parameter control module 12 and the evaluation module 13 may be equipped with computer devices for executing control or evaluation processes. For example, multiple detection areas can be pre-designed in the current detection system. The current sensor array 11 can then perform current detection on each of these multiple detection areas, obtaining current detection results, which are then transmitted to the evaluation module 12. The evaluation module 12 can receive the current detection results sent by the current sensor array 11 and can detect the response parameters of the current detection system in real time. Based on the current detection results and the response parameters, the performance of the current detection system can be evaluated, resulting in an evaluation result, which is then transmitted to the parameter control module 13. For example, the evaluation module 12 can use edge computing technology to perform real-time data processing to obtain the response parameters of the current detection system, thereby reducing latency and improving the response speed of the current detection system.

[0044] Furthermore, the parameter control module 13 can receive and monitor the evaluation results of the current detection system in real time, and determine whether the current detection system is abnormal based on the evaluation results. Therefore, if the evaluation results indicate an abnormality in the current detection system, the module can adaptively adjust the circuit parameters in the current detection system. For example, the parameter control module 13 can input the evaluation results into a machine learning model to identify faults or abnormalities in the current detection system, thereby achieving predictive maintenance, reducing downtime, and improving the overall reliability of the current detection system. In addition, the adjusted circuit parameters in the current detection system can be transmitted to the current sensor array 11, allowing the current sensor array 11 to perform more accurate current detection based on the adjusted circuit parameters. The response parameters may include, but are not limited to, parameters such as response speed and response delay; the performance of the current detection system may include, but is not limited to, the degree of signal distortion and response speed; and the circuit parameters may include, but are not limited to, parameters such as filtering parameters and control parameters.

[0045] In the aforementioned current detection system, the current detection system includes an interconnected current sensor array, an evaluation module, and a parameter control module. The current sensor array is used to detect current in multiple detection areas where the current detection system is located, obtaining current detection results. The evaluation module is used to evaluate the performance of the current detection system based on the current detection results and the response parameters of the current detection system, obtaining an evaluation result. The parameter control module is used to adjust the circuit parameters in the current detection system when the evaluation result indicates that the current detection system is abnormal. Since the current sensor array in this embodiment can detect current in multiple detection areas where the current detection system is located separately, it can obtain current detection results more accurately. Furthermore, this application can adjust the circuit parameters in the current detection system in real time through the evaluation module and the parameter control module, ensuring that the circuit parameters in the current detection system are always kept within the normal range. Using the adjusted circuit parameters for current detection further improves the accuracy of current detection, as well as the stability and reliability of the current sensor array.

[0046] Based on the structure of the current detection system described in the above embodiments, in one embodiment, the current sensor array includes multiple fluxgate current sensors connected in parallel;

[0047] Each fluxgate current sensor is used to detect the current to be measured in the detection area corresponding to each fluxgate current sensor, and to obtain the current detection result corresponding to each detection area.

[0048] In this embodiment, the current sensor array includes multiple fluxgate current sensors connected in parallel. This means that each fluxgate current sensor can be connected to both the evaluation module and the parameter modulation module, and each fluxgate current sensor corresponds to a different detection region. Based on this, for each fluxgate current sensor, the fluxgate current sensor can perform parallel current detection on the current to be measured in its corresponding detection region, obtaining the current detection result for that region. Optionally, the current sensor array can then transmit the current detection results for each detection region to the evaluation module 12 separately; alternatively, the current sensor array can use a data fusion algorithm to fuse the current detection results for each detection region and transmit the fused current detection result to the evaluation module 12. Furthermore, a real-time sensor calibration mechanism can be established to ensure the accuracy and consistency of the current detection results and reduce potential risks caused by measurement errors.

[0049] In this embodiment, the current sensor array includes multiple fluxgate current sensors connected in parallel. Each fluxgate current sensor is used to detect the current to be measured in its corresponding detection area, obtaining the current detection result for each detection area. Thus, different fluxgate current sensors can be used to perform parallel current detection on their respective detection areas, resulting in more accurate current detection, enhanced global sensing capability of the current detection system, and improved monitoring accuracy and response speed.

[0050] Based on the structure of the current detection system described in the above embodiments, in one embodiment, the fluxgate current sensor includes a magnetic core and a winding. The magnetic permeability of the material of the magnetic core is higher than a preset permeability threshold, and the number of turns and shape of the winding are determined according to the winding simulation model under different environmental conditions.

[0051] In this embodiment, the fluxgate current sensor includes a magnetic core and windings. The magnetic core material has a permeability higher than a preset permeability threshold. That is, this embodiment can select a novel high-permeability material as the magnetic core material to further improve permeability and reduce losses. Furthermore, the high-frequency characteristics of the magnetic core material can be experimentally tested to optimize its use. For example, the performance changes of the magnetic core material under different temperature conditions can be assessed in advance to ensure that the magnetic core material maintains high performance even in harsh environments. The novel high-permeability material may include, but is not limited to, soft magnetic alloys, cobalt-iron alloys, etc.

[0052] The number of turns and shape of the winding in this embodiment are determined based on winding simulation models under different environmental conditions. Optionally, firstly, a winding simulation model can be pre-constructed using preset simulation software, and multiphysics simulation can be performed on the winding simulation model to comprehensively consider the influence of different environmental conditions on winding performance, thereby determining a suitable number of turns and shape of the winding. The preset simulation software may include, but is not limited to, ANSYS Maxwell, COMSOL Multiphysics, etc., and environmental conditions may include, but are not limited to, temperature, current, etc. Secondly, 3D printing technology can be used to manufacture the winding support to more accurately control the geometry of the winding and reduce errors. Thirdly, parametric modeling methods can be used for finite element simulation to construct a winding simulation model, and the number of turns and the corresponding current of the winding can be optimized in the winding simulation model to ensure good performance under dynamic operating conditions. Of course, this embodiment does not limit the specific implementation method for determining the number of turns and shape of the winding.

[0053] In this embodiment, the fluxgate current sensor includes a magnetic core and a winding. The magnetic permeability of the magnetic core material is higher than a preset permeability threshold. By selecting a novel high-permeability material as the magnetic core material, the permeability can be further improved and losses reduced. Furthermore, by optimizing the material's performance under different temperature conditions, reliability and stability in extreme environments are ensured, increasing the system's applicability and lifespan. Since the number of turns and shape of the winding are determined based on winding simulation models under different environmental conditions, this embodiment comprehensively considers the impact of different environmental conditions on winding performance. Combining the advantages of different simulation software, it can more comprehensively understand the winding's performance under actual operating conditions, thereby ensuring that the winding structure can maintain better performance under actual operating conditions. This allows for the determination of a suitable number of turns and shape for the winding, improving the accuracy of the winding structure, reducing manufacturing errors, and making the winding performance more stable and reliable.

[0054] Based on the structure of the current detection system described in the above embodiments, in one embodiment, the parameter control module is specifically used to adjust the circuit parameters of the current detection system using a parameter adjustment algorithm when the evaluation result indicates that the current detection system is abnormal; the parameter adjustment algorithm includes at least one of fuzzy control algorithm, reinforcement learning algorithm and filtering algorithm.

[0055] In one embodiment, the parameter control module is specifically used to adjust the circuit parameters of the current detection system using fuzzy control algorithms and reinforcement learning algorithms when the evaluation results indicate that the current detection system is malfunctioning.

[0056] In one embodiment, the parameter control module is specifically used to adjust the filter parameters in the circuit parameters using a filtering algorithm when the evaluation result indicates that the current detection system is malfunctioning.

[0057] In this embodiment, when the evaluation result indicates an anomaly in the current detection system, the parameter control module may optionally employ an adaptive fuzzy control algorithm or a neural network control algorithm to dynamically adjust the control parameters in the current detection system according to the system state, thereby optimizing response speed and stability; alternatively, the parameter control module may employ a combined algorithm based on fuzzy control and reinforcement learning to flexibly adjust the circuit parameters in the current detection system, thereby optimizing desaturation response speed and improving the dynamic adaptability of the current detection system; or alternatively, the parameter control module may employ an adaptive filtering algorithm to dynamically adjust the filtering parameters in the circuit parameters according to signal changes, thereby enhancing the signal-to-noise ratio.

[0058] In this embodiment, the parameter control module is specifically used to adjust the circuit parameters in the current detection system using a parameter adjustment algorithm when the evaluation result indicates that the current detection system is abnormal. The parameter adjustment algorithm includes at least one of fuzzy control algorithm, reinforcement learning algorithm, and filtering algorithm. In this way, the circuit parameters in the current detection system can be dynamically adjusted through multiple parameter adjustment algorithms, thereby improving the response speed and stability of the current detection system.

[0059] Based on the structure of the current detection system described in the above embodiments, in one embodiment, the current detection system further includes a desaturation detection module, which is used to detect desaturation faults according to circuit parameters and obtain fault detection results.

[0060] In one embodiment, the desaturation detection module includes a signal generation module for generating an excitation signal when the fault detection result indicates that the current detection system has a desaturation fault.

[0061] In one embodiment, the desaturation detection module further includes a signal adjustment module, which is used to adjust the signal parameters of the excitation signal according to the circuit parameters.

[0062] In the embodiments of this application, such as Figure 2 As shown, Figure 2 This is a schematic diagram of the current detection system in another embodiment. The current detection system also includes a desaturation detection module 14, which is connected to the parameter control module 13. Based on this, the desaturation detection module can acquire the circuit parameters adjusted in real time by the parameter control module, and can detect desaturation faults based on the adjusted circuit parameters to obtain fault detection results. For example, multiple trigger conditions can be preset, such as temperature and load changes. When the adjusted circuit parameters meet the trigger conditions, the fault detection result is determined to be a desaturation fault in the current detection system, thereby improving the system's response capability to saturation states. Furthermore, the design of the desaturation detection module can consider the performance of the circuit in the current detection system under high-frequency signals, and the circuit layout can be optimized based on the performance of the circuit under high-frequency signals to reduce parasitic effects, improve the stability of the current detection system under high-frequency signals, reduce circuit noise and parasitic effects, and improve the overall signal quality of the current detection system. A dual redundant control system can also be introduced into the current detection system to ensure that the backup system can be used immediately when the main control system fails.

[0063] In one embodiment, the desaturation detection module may include a signal generation module. This module generates an excitation signal when the fault detection result indicates a desaturation fault in the current detection system. This ensures a rapid return to normal operation after desaturation, reducing downtime and improving production efficiency. The excitation signal can include various waveforms such as sine waves, square waves, and triangular waves. Furthermore, the excitation signal can be flexibly configured according to different application requirements to adapt to different application scenarios, thereby improving the flexibility and adaptability of the current detection system. Additionally, a high-resolution digital-to-analog converter (DAC) can be used to process and output the excitation signal to ensure signal output accuracy, reduce signal distortion, and enhance the performance of the current detection system.

[0064] In one embodiment, the desaturation detection module further includes a signal adjustment module, which can adjust the signal parameters of the excitation signal according to the circuit parameters. Optionally, the signal adjustment module can employ various sensitivity adjustment methods to adaptively adjust the signal parameters of the excitation signal according to the circuit parameters. These sensitivity adjustment methods can include, but are not limited to, digital adjustment and analog adjustment, to ensure that the system maintains optimal performance under different operating conditions. Alternatively, a dynamic adjustment model can be pre-established and trained in the signal adjustment module. This allows the signal adjustment module to input the real-time adjusted circuit parameters into the dynamic adjustment model for signal adjustment, thereby automatically optimizing the signal parameters of the excitation signal to improve the recovery efficiency of desaturation faults.

[0065] In this embodiment, the current detection system further includes a desaturation detection module. This module detects desaturation faults based on circuit parameters and obtains the fault detection result. The desaturation detection module also includes a signal generation module. This module generates an excitation signal when the fault detection result indicates a desaturation fault in the current detection system, ensuring a rapid return to normal operation after desaturation, reducing downtime, and improving production efficiency. Furthermore, the desaturation detection module also includes a signal adjustment module. This module adjusts the signal parameters of the excitation signal based on the circuit parameters, thus improving the recovery efficiency from desaturation faults.

[0066] Based on the structure of the current detection system described in the above embodiments, in one embodiment, the zero flux detection circuit in the related art can be further optimized. Optionally, multi-channel parallel detection technology can be introduced into the zero flux detection circuit in the related art, so that the zero flux state can be detected in parallel, which can improve detection accuracy and redundancy, and ensure that the zero flux state can still be accurately monitored in the event of a fault; or, a hierarchical control module can be added to the zero flux detection circuit in the related art, so that the current detection system in different system states can be adaptively controlled and adjusted according to the system state of the current detection system by adopting a hierarchical adjustment strategy, thereby improving the flexibility of the current detection system; or, a fine-tuning circuit combined with an intelligent controller can be used to adjust the excitation current in real time to ensure that the magnetic flux is maintained in the zero flux state, optimize the working efficiency of the system, and reduce unnecessary energy consumption.

[0067] Based on the structure of the current detection system described in the above embodiments, in one embodiment, an electromagnetic shielding module can be added to the current detection system. Optionally, dynamic simulation tools can be used to analyze the performance of the electromagnetic shielding module in different frequency bands, which can provide a more comprehensive understanding of the shielding structure's performance in different frequency bands, allowing for targeted improvements to the electromagnetic shielding module and enhancing electromagnetic compatibility; alternatively, the sensitive areas in the current detection system can be comprehensively identified by combining simulation models and actually detected circuit parameters to optimize the shielding design; alternatively, environmentally friendly composite materials or bio-based materials can be used as the shielding structure materials in the electromagnetic shielding module, which not only improves the shielding effect but also meets green environmental protection standards and has broader application prospects; alternatively, the geometry and grounding design of the shielding structure can be optimized by conducting simulation experiments on different structural forms to improve electromagnetic compatibility; alternatively, internationally standardized testing methods can be developed to ensure that shielding structures of different batches meet consistent performance indicators, improving product reliability and market competitiveness.

[0068] After introducing the current detection system, the current detection method implemented using the current detection system will be described below. In one embodiment, such as... Figure 3 As shown, a current detection method is provided. Taking the application of this method to a current detection system in any of the above embodiments as an example, the current detection system includes an interconnected current sensor array, an evaluation module, and a parameter control module, and includes the following steps:

[0069] S201 controls the current sensor array to perform current detection in multiple detection areas where the current detection system is located, and obtains the current detection results.

[0070] S202, the control evaluation module evaluates the performance of the current detection system based on the current detection results and the response parameters of the current detection system, and obtains the evaluation results.

[0071] S203, the control parameter control module adjusts the circuit parameters of the current detection system when the evaluation result indicates that the current detection system is abnormal.

[0072] The specific implementation methods of S201-S203 can be referred to the above embodiments, and will not be repeated here.

[0073] In the aforementioned current detection method, a current sensor array is controlled to detect current in multiple detection areas where the current detection system is located, obtaining current detection results. An evaluation module evaluates the performance of the current detection system based on the current detection results and the system's response parameters, obtaining an evaluation result. A parameter control module adjusts the circuit parameters in the current detection system when the evaluation result indicates an anomaly. Since the current sensor array in this embodiment can detect current in multiple detection areas separately, it can obtain more accurate current detection results. Furthermore, this application can adjust the circuit parameters in the current detection system in real time through the evaluation module and parameter control module, ensuring that the circuit parameters remain within the normal range. Using the adjusted circuit parameters for current detection further improves the accuracy of current detection and enhances the stability and reliability of the current sensor array.

[0074] It should be understood that although the steps in the flowcharts of the above embodiments are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the above embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0075] In one exemplary embodiment, a computer device is provided, which may be a terminal in a current detection system, and its internal structure diagram may be as follows. Figure 4As shown, the computer device includes a processor, memory, input / output interfaces, a communication interface, a display unit, and an input device. The processor, memory, and input / output interfaces are connected via a system bus, and the communication interface, display unit, and input device are also connected to the system bus via the input / output interfaces. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The input / output interfaces are used for exchanging information between the processor and external devices. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, Near Field Communication (NFC), or other technologies. When executed by the processor, the computer program implements a current detection method. The display unit is used to form a visually visible image and can be a display screen, a projection device, or a virtual reality imaging device. The display screen can be an LCD screen or an e-ink screen. The input device of the computer device can be a touch layer covering the display screen, or buttons, trackballs, or touchpads set on the casing of the computer device, or external keyboards, touchpads, or mice, etc.

[0076] Those skilled in the art will understand that Figure 4 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0077] In one exemplary embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the following steps:

[0078] The current sensor array is controlled to detect the current in multiple detection areas where the current detection system is located, and the current detection results are obtained.

[0079] The control evaluation module evaluates the performance of the current detection system based on the current detection results and the response parameters of the current detection system, and obtains the evaluation results.

[0080] When the evaluation results indicate that the current detection system is malfunctioning, the control parameter control module adjusts the circuit parameters of the current detection system.

[0081] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, the computer program performing the following steps when executed by a processor:

[0082] The current sensor array is controlled to detect the current in multiple detection areas where the current detection system is located, and the current detection results are obtained.

[0083] The control evaluation module evaluates the performance of the current detection system based on the current detection results and the response parameters of the current detection system, and obtains the evaluation results.

[0084] When the evaluation results indicate that the current detection system is malfunctioning, the control parameter control module adjusts the circuit parameters of the current detection system.

[0085] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, performs the following steps:

[0086] The current sensor array is controlled to detect the current in multiple detection areas where the current detection system is located, and the current detection results are obtained.

[0087] The control evaluation module evaluates the performance of the current detection system based on the current detection results and the response parameters of the current detection system, and obtains the evaluation results.

[0088] When the evaluation results indicate that the current detection system is malfunctioning, the control parameter control module adjusts the circuit parameters of the current detection system.

[0089] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, database, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, artificial intelligence (AI) processors, etc., and are not limited to these.

[0090] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0091] The above embodiments are merely illustrative of several implementation methods of this application, and their descriptions are relatively specific and detailed. However, they should not be construed as limiting the scope of this application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A current detection system, characterized in that, The current detection system includes an interconnected array of current sensors, an evaluation module, and a parameter control module. The current sensor array is used to detect current in multiple detection areas where the current detection system is located, and to obtain current detection results. The evaluation module is used to perform real-time data processing using edge computing technology to obtain the response parameters of the current detection system, and to evaluate the performance of the current detection system based on the current detection results and the response parameters of the current detection system to obtain the evaluation results. The response parameters include response speed and response delay, and the performance of the current detection system includes the signal distortion degree and response speed of the current detection system. The parameter control module is used to input the evaluation results into the machine learning model to identify anomalies in the current detection system. When an anomaly is detected in the current detection system, the module adjusts the circuit parameters in the current detection system and transmits the adjusted circuit parameters to the current sensor array. The circuit parameters include filtering parameters and control parameters; The current sensor array is also used to detect current based on the adjusted circuit parameters.

2. The system according to claim 1, characterized in that, The current sensor array includes multiple fluxgate current sensors connected in parallel; Each fluxgate current sensor is used to detect the current to be measured in the detection area corresponding to each fluxgate current sensor, and to obtain the current detection result corresponding to each detection area.

3. The system according to claim 2, characterized in that, The fluxgate current sensor includes a magnetic core and a winding. The magnetic core is made of a material with a permeability higher than a preset permeability threshold. The number of turns and the shape of the winding are determined based on a winding simulation model under different environmental conditions.

4. The system according to any one of claims 1-3, characterized in that, The parameter control module is specifically used to adjust the circuit parameters of the current detection system using a parameter adjustment algorithm when the evaluation result indicates that the current detection system is abnormal; the parameter adjustment algorithm includes at least one of fuzzy control algorithm, reinforcement learning algorithm and filtering algorithm.

5. The system according to claim 4, characterized in that, The parameter control module is specifically used to adjust the circuit parameters of the current detection system using the fuzzy control algorithm and the reinforcement learning algorithm when the evaluation result indicates that the current detection system is abnormal.

6. The system according to claim 4, characterized in that, The parameter control module is specifically used to adjust the filter parameters in the circuit parameters using the filtering algorithm when the evaluation result indicates that the current detection system is abnormal.

7. The system according to any one of claims 1-3, characterized in that, The current detection system also includes a desaturation detection module, which is used to detect desaturation faults based on the circuit parameters and obtain fault detection results.

8. The system according to claim 7, characterized in that, The desaturation detection module includes a signal generation module, which is used to generate an excitation signal when the fault detection result indicates that the current detection system has a desaturation fault.

9. The system according to claim 8, characterized in that, The desaturation detection module further includes a signal adjustment module, which is used to adjust the signal parameters of the excitation signal according to the circuit parameters.

10. A current detection method, characterized in that, Applied to a current detection system, the current detection system comprising an interconnected array of current sensors, an evaluation module, and a parameter control module, the method includes: The current sensor array is controlled to detect the current in multiple detection areas where the current detection system is located, and the current detection results are obtained. The evaluation module uses edge computing technology for real-time data processing to obtain the response parameters of the current detection system. Based on the current detection results and the response parameters, the performance of the current detection system is evaluated to obtain the evaluation result. The response parameters include response speed and response delay. The performance of the current detection system includes the signal distortion degree and response speed of the current detection system. The parameter control module inputs the evaluation results into a machine learning model to identify anomalies in the current detection system. When an anomaly is detected, the circuit parameters in the current detection system are adjusted, and the adjusted circuit parameters are transmitted to the current sensor array. The circuit parameters include filtering parameters and control parameters. The current sensor array is controlled to detect current according to the adjusted circuit parameters.

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