Non-contact current safety detection method based on giant magnetoresistance effect sensor

Abstract

The invention relates to the technical field of equipment measurement, and provides a non-contact current safety detection method based on a giant magnetoresistance effect sensor, which comprises the following steps: selecting the giant magnetoresistance effect sensor suitable for a customs detection environment, and integrating the giant magnetoresistance effect sensor into portable detection equipment to obtain integrated detection equipment; performing hardware upgrading on the integrated detection equipment to obtain upgraded integrated detection equipment; based on a designed signal conditioning and processing circuit, acquiring and processing an output signal of the giant magnetoresistance effect sensor in the upgraded integrated detection equipment; and obtaining a current parameter of the electrical equipment based on the output signal. According to the invention, non-contact current safety detection is carried out through the giant magnetoresistance effect sensor, the contact error is reduced, the accuracy and efficiency of electrical safety detection are improved, the detection requirements of diversified equipment can be met, the requirement of rapid customs clearance is met, and the safety of customs detection personnel is guaranteed.

Description

Technical Field

[0001] The invention relates to the technical field of equipment measurement, and in particular to a non-contact current safety detection method based on a giant magnetoresistance effect sensor. Background Art

[0002] In international trade, the import and export volume of electrical equipment is huge; when the customs of various countries conduct safety inspections on imported electrical equipment, they need to quickly and accurately measure the current, leakage current and ground current of the equipment to ensure that it complies with the country's electrical safety standards. However, the traditional contact current measurement method may introduce contact resistance and noise, affecting the measurement accuracy; at the same time, in high voltage or high current environments, contact measurement has safety risks; the giant magnetoresistance effect sensor realizes non-contact measurement of current by sensing changes in the magnetic field, and has the advantages of high sensitivity and safety, which is particularly suitable for the electrical safety inspection needs of customs in international trade.

[0003] Therefore, it is necessary to provide a non-contact current safety detection method based on giant magnetoresistance effect sensor. Summary of the invention

[0004] The present invention provides a non-contact current safety detection method based on a giant magnetoresistance effect sensor. The non-contact current safety detection is performed by the giant magnetoresistance effect sensor, which reduces contact errors, improves the accuracy and efficiency of electrical safety detection, can meet the detection requirements of diversified equipment, adapt to the needs of customs rapid clearance, and ensure the safety of customs inspection personnel.

[0005] The present invention provides a non-contact current safety detection method based on a giant magnetoresistance effect sensor, comprising:

[0006] Select a giant magnetoresistance effect sensor suitable for the customs inspection environment, integrate it into a portable inspection device, and obtain an integrated inspection device;

[0007] Perform hardware upgrade on the integrated testing equipment to obtain the upgraded integrated testing equipment;

[0008] Based on the designed signal conditioning and processing circuit, the output signal of the giant magnetoresistance effect sensor in the upgraded integrated detection equipment is acquired and processed;

[0009] Based on the output signal, the current parameters of the electrical device are obtained.

[0010] Furthermore, a giant magnetoresistance effect sensor suitable for the customs inspection environment is selected and integrated into a portable inspection device, including:

[0011] Based on the set selection conditions, a giant magnetoresistance effect sensor is selected;

[0012] According to the set integration design requirements, the giant magnetoresistance effect sensor is integrated into the portable detection equipment.

[0013] Further, the selection conditions are: covering the current range of different electrical equipment, having good temperature and humidity stability, and being able to detect tiny leakage currents and ground currents;

[0014] The integrated design requirements are: light and easy to carry, modular design, and integrated data transmission interface.

[0015] Furthermore, the integrated detection device is upgraded in hardware to obtain an upgraded integrated detection device, including:

[0016] Optimize external configuration of integrated testing equipment;

[0017] Make internal configuration modifications to integrated testing equipment.

[0018] Furthermore, the external configuration of the integrated detection equipment is optimized, including:

[0019] Provide external protection for the integrated detection equipment so that the housing of the integrated detection equipment reaches a dust and water protection level of IP54 or above;

[0020] Carry out external reinforcement configuration for the integrated testing equipment to ensure that the integrated testing equipment meets the set design requirements for earthquake resistance and fall resistance;

[0021] External insulation is configured for the integrated detection equipment to ensure the safety of the detection personnel.

[0022] Furthermore, the internal configuration of the integrated detection equipment is modified, including:

[0023] Design overload and short-circuit protection circuits to avoid damage to integrated detection equipment;

[0024] A processor and a memory are configured, the memory is used to store a database of electrical safety standards and regulations, and the processor is used to determine whether the equipment is compliant based on the database of electrical safety standards and regulations through the set integrated detection equipment operating software.

[0025] Furthermore, based on the designed signal conditioning and processing circuit, the output signal of the giant magnetoresistance effect sensor in the upgraded integrated detection device is obtained and processed, including:

[0026] Amplify, filter, collect and encrypt the signal to achieve the first processing of the signal;

[0027] The signal after the first processing is screened to obtain an output signal of the giant magnetoresistance effect sensor.

[0028] Further, the signal is amplified, filtered, collected and encrypted to achieve the first processing of the signal, including:

[0029] Amplify and filter the signal, specifically: use a low-noise amplifier to improve signal quality, and design a filter circuit to filter out environmental noise and electromagnetic interference to adapt to the complex electromagnetic detection environment of customs;

[0030] Use high-speed analog-to-digital converters to achieve fast data collection to meet the needs of customs rapid testing;

[0031] Develop and design data processing algorithms to process, analyze and judge the collected data in real time to determine whether the equipment meets safety standards;

[0032] Encrypt the test data to ensure the security of trade-sensitive information;

[0033] Design wireless communication circuits to achieve the connection between integrated testing equipment and customs information system and realize real-time sharing of testing data.

[0034] Further, the signal after the first processing is screened to obtain an output signal of the giant magnetoresistance effect sensor, including:

[0035] Based on the set environmental noise detection equipment, the sound pressure value of the environmental noise is obtained;

[0036] Based on the set electromagnetic interference detection equipment, the conducted interference frequency value and the environmental electromagnetic radiation value of the electromagnetic interference are obtained;

[0037] Based on the set sound pressure threshold, conducted interference frequency threshold and ambient electromagnetic radiation threshold, the sound pressure value, conducted interference frequency value and ambient electromagnetic radiation value are compared with the sound pressure threshold, conducted interference frequency threshold and ambient electromagnetic radiation threshold, respectively, to obtain a sound pressure comparison difference value, a conducted interference frequency comparison difference value and an ambient electromagnetic radiation comparison difference value;

[0038] The sound pressure comparison difference, the conducted interference frequency comparison difference and the ambient electromagnetic radiation comparison difference are weighted and then accumulated to obtain a comprehensive comparison difference;

[0039] Based on the comprehensive comparison difference, a comparison and matching relationship library between the comprehensive comparison difference and the signal strength correction value is established;

[0040] According to different detection scenarios and detection requirements, set different detection cycles and detection frequencies within the detection cycle;

[0041] Perform detection according to the detection period and detection frequency to obtain a plurality of signals after first processing;

[0042] A target signal screening model is constructed to screen out a signal with the smallest signal strength correction value from a plurality of signals after the first processing as an output signal.

[0043] Furthermore, develop and design data processing algorithms to process, analyze and judge the collected data in real time to determine whether the equipment meets safety standards, including:

[0044] Based on the machine learning algorithm library, design multiple data processing algorithms, including but not limited to data mining algorithms, decision tree algorithms and adaptive modulation algorithms;

[0045] Based on the data processing algorithm, the collected data is processed, analyzed and judged in real time to determine whether the equipment meets the safety standards.

[0046] Compared with the prior art, the present invention has the following advantages and beneficial effects: non-contact current safety detection is performed through a giant magnetoresistance effect sensor, contact errors are reduced, the accuracy and efficiency of electrical safety detection are improved, the detection requirements of diversified equipment can be met, the needs of customs rapid clearance are met, and the safety of customs inspection personnel is guaranteed.

[0047] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0048] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0050] Figure 1 A schematic diagram of the steps of a non-contact current safety detection method based on a giant magnetoresistance effect sensor;

[0051] Figure 2 Schematic diagram of the method steps for selecting a giant magnetoresistance effect sensor suitable for customs inspection environment and integrating it into a portable inspection device;

[0052] Figure 3 A schematic diagram of the method steps for performing hardware upgrade on the integrated detection device and obtaining the upgraded integrated detection device is provided. DETAILED DESCRIPTION

[0053] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0054] The present invention provides a non-contact current safety detection method based on a giant magnetoresistance effect sensor, such as Figure 1 As shown, including:

[0055] Select a giant magnetoresistance effect sensor suitable for the customs inspection environment, integrate it into a portable inspection device, and obtain an integrated inspection device;

[0056] Perform hardware upgrade on the integrated testing equipment to obtain the upgraded integrated testing equipment;

[0057] Based on the designed signal conditioning and processing circuit, the output signal of the giant magnetoresistance effect sensor in the upgraded integrated detection equipment is acquired and processed;

[0058] Based on the output signal, the current parameters of the electrical device are obtained.

[0059] The working principle of the above technical solution is: in order to realize a non-contact current safety detection method based on a giant magnetoresistance effect sensor, the present invention first selects a giant magnetoresistance effect sensor suitable for the customs detection environment, integrates it into a portable detection device, and obtains an integrated detection device; then, the hardware of the integrated detection device is upgraded to obtain an upgraded integrated detection device; then, based on the designed signal conditioning and processing circuit, the output signal of the giant magnetoresistance effect sensor in the upgraded integrated detection device is obtained and processed; finally, based on the output signal, the current parameters of the electrical equipment are obtained.

[0060] The beneficial effects of the above technical solution are: by adopting the solution provided in this embodiment, non-contact current safety detection is performed through a giant magnetoresistance effect sensor, contact errors are reduced, the accuracy and efficiency of electrical safety detection are improved, the detection requirements of diversified equipment can be met, the needs of customs rapid clearance can be adapted, and the safety of customs inspection personnel can be guaranteed.

[0061] In one embodiment, Figure 2 As shown, select the giant magnetoresistance effect sensor suitable for the customs inspection environment and integrate it into the portable inspection equipment, including:

[0062] Based on the set selection conditions, a giant magnetoresistance effect sensor is selected;

[0063] According to the set integration design requirements, the giant magnetoresistance effect sensor is integrated into the portable detection equipment.

[0064] The working principle of the above technical solution is: in order to select a giant magnetoresistance effect sensor suitable for the customs inspection environment and integrate it into a portable inspection device, the present invention first selects a giant magnetoresistance effect sensor based on set selection conditions; and then integrates the giant magnetoresistance effect sensor into the portable inspection device according to the set integration design requirements.

[0065] The beneficial effect of the above technical solution is: by adopting the solution provided in this embodiment, by selecting a giant magnetoresistance effect sensor and integrating it into a portable detection device, a basis is provided for more effective detection.

[0066] In one embodiment, the selection conditions are: covering the current range of different electrical equipment, having good temperature and humidity stability, and being able to detect tiny leakage current and ground current;

[0067] The integrated design requirements are: light and easy to carry, modular design, and integrated data transmission interface.

[0068] The working principle of the above technical solution is: the present invention sets the selection conditions as: covering the current range of different electrical equipment, having good temperature and humidity stability, and being able to detect tiny leakage current and grounding current; and sets the integrated design requirements as: light and easy to carry, modular design, and integrated data transmission interface.

[0069] The beneficial effect of the above technical solution is: by adopting the solution provided by this embodiment, by setting selection conditions and integration setting requirements, a basis is provided for better selecting giant magnetoresistance effect sensors.

[0070] In one embodiment, Figure 3 As shown, the hardware of the integrated detection device is upgraded to obtain the upgraded integrated detection device, including:

[0071] Optimize external configuration of integrated testing equipment;

[0072] Make internal configuration modifications to integrated testing equipment.

[0073] The working principle of the above technical solution is: in order to realize the hardware upgrade of the integrated detection equipment and obtain the upgraded integrated detection equipment, the present invention first optimizes the external configuration of the integrated detection equipment; and then transforms the internal configuration of the integrated detection equipment.

[0074] The beneficial effect of the above technical solution is: by adopting the solution provided in this embodiment, the functions of the integrated detection equipment can be guaranteed to be completed by optimizing the external configuration and modifying the internal configuration of the integrated detection equipment.

[0075] In one embodiment, external configuration optimization is performed on an integrated detection device, including:

[0076] Provide external protection for the integrated detection equipment so that the housing of the integrated detection equipment reaches a dust and water protection level of IP54 or above;

[0077] Carry out external reinforcement configuration for the integrated testing equipment to ensure that the integrated testing equipment meets the set design requirements for earthquake resistance and fall resistance;

[0078] External insulation is configured for the integrated detection equipment to ensure the safety of the detection personnel.

[0079] The working principle of the above technical solution is: in order to achieve external configuration optimization of the integrated detection equipment, the present invention first performs external protection configuration on the integrated detection equipment so that the outer shell of the integrated detection equipment reaches the dust and water protection level of IP54 or above; then the integrated detection equipment is externally reinforced so that the integrated detection equipment meets the set seismic and drop resistance design requirements; finally, the integrated detection equipment is externally insulated to ensure the safety of the detection personnel.

[0080] The beneficial effect of the above technical solution is: by adopting the solution provided in this embodiment, the functions of the integrated detection equipment can be guaranteed to be perfect by optimizing the external configuration of the integrated detection equipment.

[0081] In one embodiment, the internal configuration of the integrated detection device is modified, including:

[0082] Design overload and short-circuit protection circuits to avoid damage to integrated detection equipment;

[0083] A processor and a memory are configured. The memory is used to store a database of electrical safety standards and regulations. The processor is used to determine whether the equipment is compliant based on the database of electrical safety standards and regulations through the set integrated detection equipment operating software.

[0084] The working principle of the above technical solution is: in order to realize the internal configuration modification of the integrated detection equipment, the present invention first designs an overload and short-circuit protection circuit to avoid damage to the integrated detection equipment; then configures the processor and the memory, the memory is used to store the electrical safety standards and regulations database, and the processor is used to determine whether the equipment is compliant based on the electrical safety standards and regulations database through the set integrated detection equipment operating software.

[0085] The beneficial effect of the above technical solution is: by adopting the solution provided in this embodiment, the integrated detection equipment can be optimized and improved by modifying the internal configuration of the integrated detection equipment.

[0086] In one embodiment, based on the designed signal conditioning and processing circuit, the output signal of the giant magnetoresistance effect sensor in the upgraded integrated detection device is obtained and processed, including:

[0087] Amplify, filter, collect and encrypt the signal to achieve the first processing of the signal;

[0088] The signal after the first processing is screened to obtain an output signal of the giant magnetoresistance effect sensor.

[0089] The working principle of the above technical solution is: in order to realize the signal conditioning and processing circuit based on the design and obtain and process the output signal of the giant magnetoresistance effect sensor in the upgraded integrated detection equipment, the present invention first amplifies, filters, collects and encrypts the signal to realize the first processing of the signal; then screens the signal after the first processing to obtain the output signal of the giant magnetoresistance effect sensor.

[0090] The beneficial effect of the above technical solution is: by adopting the solution provided in this embodiment, the output signal of the giant magnetoresistance effect sensor in the upgraded integrated detection equipment can be obtained and processed through the designed signal conditioning and processing circuit.

[0091] In one embodiment, the signal is amplified, filtered, collected and encrypted to achieve the first processing of the signal, including:

[0092] Amplify and filter the signal, specifically: use a low-noise amplifier to improve signal quality, and design a filter circuit to filter out environmental noise and electromagnetic interference to adapt to the complex electromagnetic detection environment of customs;

[0093] Use high-speed analog-to-digital converters to achieve fast data collection to meet the needs of customs rapid testing;

[0094] Develop and design data processing algorithms to process, analyze and judge the collected data in real time to determine whether the equipment meets safety standards;

[0095] Encrypt the test data to ensure the security of trade-sensitive information;

[0096] Design wireless communication circuits to achieve the connection between integrated testing equipment and customs information system and realize real-time sharing of testing data.

[0097] The working principle of the above technical solution is: in order to amplify, filter, collect and encrypt the signal and realize the first processing of the signal, the present invention first amplifies and filters the signal, specifically: using a low-noise amplifier to improve the signal quality, and designing a filter circuit to filter out environmental noise and electromagnetic interference to adapt to the complex electromagnetic detection environment of the customs; then using a high-speed analog-to-digital converter to achieve fast data collection to meet the needs of customs rapid detection; then, developing and designing a data processing algorithm to process, analyze and judge the collected data in real time to determine whether the equipment meets the safety standards; encrypting the detection data to ensure the security of trade-sensitive information; designing a wireless communication circuit to achieve the connection between the integrated detection equipment and the customs information system to achieve real-time sharing of detection data.

[0098] The beneficial effect of the above technical solution is: by adopting the solution provided in this embodiment, an accurate processed signal can be obtained by amplifying, filtering, collecting and encrypting the signal.

[0099] In one embodiment, screening the signal after the first processing to obtain the output signal of the giant magnetoresistance effect sensor includes:

[0100] Based on the set environmental noise detection equipment, the sound pressure value of the environmental noise is obtained;

[0101] Based on the set electromagnetic interference detection equipment, the conducted interference frequency value and the environmental electromagnetic radiation value of the electromagnetic interference are obtained;

[0102] Based on the set sound pressure threshold, conducted interference frequency threshold and ambient electromagnetic radiation threshold, the sound pressure value, conducted interference frequency value and ambient electromagnetic radiation value are compared with the sound pressure threshold, conducted interference frequency threshold and ambient electromagnetic radiation threshold, respectively, to obtain a sound pressure comparison difference value, a conducted interference frequency comparison difference value and an ambient electromagnetic radiation comparison difference value;

[0103] The sound pressure comparison difference, the conducted interference frequency comparison difference and the ambient electromagnetic radiation comparison difference are weighted and then accumulated to obtain a comprehensive comparison difference;

[0104] Based on the comprehensive comparison difference, a comparison and matching relationship library between the comprehensive comparison difference and the signal strength correction value is established;

[0105] According to different detection scenarios and detection requirements, set different detection cycles and detection frequencies within the detection cycle;

[0106] Perform detection according to the detection period and detection frequency to obtain a plurality of signals after first processing;

[0107] A target signal screening model is constructed to screen out a signal with the smallest signal strength correction value from a plurality of signals after the first processing as an output signal.

[0108] The working principle of the above technical solution is as follows: in order to ensure the quality of the output signal, the present invention also screens the signal after the first processing, firstly based on the set environmental noise detection device, obtains the sound pressure value of the environmental noise; based on the set electromagnetic interference detection device, obtains the conducted interference frequency value and the environmental electromagnetic radiation value of the electromagnetic interference; based on the set sound pressure threshold, conducted interference frequency threshold and environmental electromagnetic radiation threshold, compares the sound pressure value, conducted interference frequency value and environmental electromagnetic radiation value with the sound pressure threshold, conducted interference frequency threshold and environmental electromagnetic radiation threshold respectively, and obtains the sound pressure comparison difference, conducted interference frequency comparison difference and environmental electromagnetic radiation value. Electromagnetic radiation comparison difference; then weight the sound pressure comparison difference, the conducted interference frequency comparison difference and the ambient electromagnetic radiation comparison difference respectively and add them up to obtain a comprehensive comparison difference; based on the comprehensive comparison difference, establish a comparison and matching relationship library between the comprehensive comparison difference and the signal strength correction value; according to different detection scenarios and detection requirements, set different detection cycles and detection frequencies within the detection cycle; perform detection according to the detection cycle and detection frequency to obtain multiple signals after the first processing; construct a target signal screening model to screen out the signal with the smallest signal strength correction value from the multiple signals after the first processing as the output signal.

[0109] The beneficial effect of the above technical solution is: by adopting the solution provided by this embodiment, the quality of the output signal can be guaranteed by screening the signal after the first processing.

[0110] In one embodiment, a data processing algorithm is developed and designed to process, analyze and determine the collected data in real time to determine whether the equipment meets the safety standards, including:

[0111] Based on the machine learning algorithm library, design multiple data processing algorithms, including but not limited to data mining algorithms, decision tree algorithms and adaptive modulation algorithms;

[0112] Based on the data processing algorithm, the collected data is processed, analyzed and judged in real time to determine whether the equipment meets the safety standards.

[0113] The working principle of the above technical solution is: in order to realize real-time processing, analysis and judgment of collected data to determine whether the equipment meets the safety standards, the present invention first designs multiple data processing algorithms based on the machine learning algorithm library, and the multiple data processing algorithms include but are not limited to data mining algorithms, decision tree algorithms and adaptive modulation algorithms; then based on the data processing algorithm, the collected data is processed, analyzed and judged in real time to determine whether the equipment meets the safety standards.

[0114] The beneficial effect of the above technical solution is: by adopting the solution provided in this embodiment, by designing multiple data processing algorithms based on a machine learning algorithm library, it is possible to ensure accurate and efficient real-time processing, analysis and judgment of the collected data.

[0115] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A non-contact current safety detection method based on a giant magnetoresistance effect sensor, characterized in that: include: Select a giant magnetoresistance effect sensor suitable for the customs inspection environment, integrate it into a portable inspection device, and obtain an integrated inspection device; Perform hardware upgrade on the integrated testing equipment to obtain the upgraded integrated testing equipment; Based on the designed signal conditioning and processing circuit, the output signal of the giant magnetoresistance effect sensor in the upgraded integrated detection equipment is acquired and processed; Based on the output signal, the current parameters of the electrical device are obtained.

2. A non-contact current safety detection method based on a giant magnetoresistance effect sensor according to claim 1, characterized in that: Select the GMR sensor suitable for the customs inspection environment and integrate it into the portable inspection equipment, including: Based on the set selection conditions, a giant magnetoresistance effect sensor is selected; According to the set integration design requirements, the giant magnetoresistance effect sensor is integrated into the portable detection equipment.

3. A non-contact current safety detection method based on a giant magnetoresistance effect sensor according to claim 2, characterized in that: The selection criteria are: covering the current range of different electrical equipment, having good temperature and humidity stability, and being able to detect tiny leakage currents and ground currents; The integrated design requirements are: light and easy to carry, modular design, and integrated data transmission interface.

4. The non-contact current safety detection method based on giant magnetoresistance effect sensor according to claim 1 is characterized in that: Perform hardware upgrades on the integrated testing equipment to obtain upgraded integrated testing equipment, including: Optimize external configuration of integrated testing equipment; Make internal configuration modifications to integrated testing equipment.

5. A non-contact current safety detection method based on a giant magnetoresistance effect sensor according to claim 4, characterized in that: Optimize external configuration of integrated detection equipment, including: Provide external protection for the integrated detection equipment so that the housing of the integrated detection equipment reaches a dust and water protection level of IP54 or above; Carry out external reinforcement configuration for the integrated testing equipment to ensure that the integrated testing equipment meets the set design requirements for earthquake resistance and fall resistance; External insulation is configured for the integrated detection equipment to ensure the safety of the detection personnel.

6. The non-contact current safety detection method based on giant magnetoresistance effect sensor according to claim 4 is characterized in that: Internal configuration modification of integrated testing equipment, including: Design overload and short-circuit protection circuits to avoid damage to integrated detection equipment; A processor and a memory are configured. The memory is used to store a database of electrical safety standards and regulations. The processor is used to determine whether the equipment is compliant based on the database of electrical safety standards and regulations through the set integrated detection equipment operating software.

7. The non-contact current safety detection method based on giant magnetoresistance effect sensor according to claim 1 is characterized in that: Based on the designed signal conditioning and processing circuit, the output signal of the giant magnetoresistance effect sensor in the upgraded integrated detection equipment is obtained and processed, including: Amplify, filter, collect and encrypt the signal to achieve the first processing of the signal; The signal after the first processing is screened to obtain an output signal of the giant magnetoresistance effect sensor.

8. The non-contact current safety detection method based on giant magnetoresistance effect sensor according to claim 1, characterized in that: The signal is amplified, filtered, collected and encrypted to achieve the first processing of the signal, including: Amplify and filter the signal, specifically: use a low-noise amplifier to improve signal quality, and design a filter circuit to filter out environmental noise and electromagnetic interference to adapt to the complex electromagnetic detection environment of customs; Use high-speed analog-to-digital converters to achieve fast data collection to meet the needs of customs rapid testing; Develop and design data processing algorithms to process, analyze and judge the collected data in real time to determine whether the equipment meets safety standards; Encrypt the test data to ensure the security of trade-sensitive information; Design wireless communication circuits to achieve the connection between integrated testing equipment and customs information system and realize real-time sharing of testing data.

9. The non-contact current safety detection method based on giant magnetoresistance effect sensor according to claim 7, characterized in that: Screening the signal after the first processing to obtain the output signal of the giant magnetoresistance effect sensor includes: Based on the set environmental noise detection equipment, the sound pressure value of the environmental noise is obtained; Based on the set electromagnetic interference detection equipment, the conducted interference frequency value and the environmental electromagnetic radiation value of the electromagnetic interference are obtained; Based on the set sound pressure threshold, conducted interference frequency threshold and ambient electromagnetic radiation threshold, the sound pressure value, the conducted interference frequency value and the ambient electromagnetic radiation value are compared with the sound pressure threshold, the conducted interference frequency threshold and the ambient electromagnetic radiation threshold, respectively, to obtain a sound pressure comparison difference value, a conducted interference frequency comparison difference value and an ambient electromagnetic radiation comparison difference value; The sound pressure comparison difference, the conducted interference frequency comparison difference and the ambient electromagnetic radiation comparison difference are weighted and then accumulated to obtain a comprehensive comparison difference; Based on the comprehensive comparison difference, a comparison and matching relationship library between the comprehensive comparison difference and the signal strength correction value is established; According to different detection scenarios and detection requirements, set different detection cycles and detection frequencies within the detection cycle; Perform detection according to the detection period and detection frequency to obtain a plurality of signals after first processing; A target signal screening model is constructed to screen out a signal with the smallest signal strength correction value from a plurality of signals after the first processing as an output signal.

10. The non-contact current safety detection method based on giant magnetoresistance effect sensor according to claim 8, characterized in that: Develop and design data processing algorithms to process, analyze and judge the collected data in real time to determine whether the equipment meets safety standards, including: Based on the machine learning algorithm library, design multiple data processing algorithms, including but not limited to data mining algorithms, decision tree algorithms and adaptive modulation algorithms; Based on the data processing algorithm, the collected data is processed, analyzed and judged in real time to determine whether the equipment meets the safety standards.

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