Wireless sensing detection method and system

Abstract

The invention provides a wireless sensing detection method and system, and relates to the technical field of internet communication, the wireless sensing detection system comprises a temperature sensor, an acceleration sensor, a main control chip and a Bluetooth gateway, the temperature sensor adopts a three-wire system bridge type temperature measurement circuit and is used for obtaining temperature parameters of a to-be-detected target; the acceleration sensor adopts an MEMS sensor and is used for acquiring an acceleration parameter of the to-be-measured target; and the main control chip receives the temperature parameter transmitted by the temperature sensor and the acceleration parameter transmitted by the acceleration sensor through an SPI bus, and sends the temperature parameter and the acceleration parameter to a Bluetooth gateway based on a Bluetooth protocol. The three-wire system temperature measurement technology is adopted, the Wheatstone bridge is combined to eliminate the influence of the wire resistance on the measurement result, the temperature monitoring precision is improved, the differential measurement technology is utilized to effectively reduce the environmental interference, and the acceleration detection precision is improved.

Description

Technical Field

[0001] The present invention relates to the field of Internet communication technology, and in particular to a wireless sensing detection method and system. Background Art

[0002] As an important member of power equipment, power transformer plays an irreplaceable role in the safe and reliable operation of the power system. Transformer failure may lead to obstruction of power transmission, damage to electrical equipment, and even affect people's normal life. In order to ensure that the transformer can work stably and safely for a long time, it is necessary to understand the internal working status of the transformer in a timely manner, analyze whether it can work normally or needs maintenance according to its status, and find problems in time. Therefore, online monitoring and fault diagnosis of transformers have become an important issue that needs to be solved urgently. Transformer overheating caused by temperature changes and transformer vibration caused by mechanical structure are the two factors that have the greatest impact on the safe and stable operation of transformers. Therefore, research on both plays a vital role.

[0003] As the capacity of the power grid increases year by year, the number of substations also increases year by year. Transformers play a vital role in the stable operation of the entire substation, but transformer maintenance is inconvenient, which is not conducive to the long-term operation of the transformer. Energy loss will occur during the operation of the transformer. The energy loss is converted into heat, causing the temperature of the transformer to rise. The increase in temperature will reduce the insulation performance of the transformer's insulation material, and the impact of this performance is irreversible. The load-bearing capacity of the transformer is also related to its operating temperature. Excessive temperature will shorten the working life of the transformer and make it scrapped earlier. The vibration of the transformer's core and winding coil is the main source of vibration, and the mechanical properties of the transformer are most sensitive to its vibration characteristics. When the winding coil and the transformer core fail, the vibration characteristics of the transformer will change significantly. Therefore, real-time monitoring of the vibration state of the transformer can grasp the vibration state of the core and winding, and then determine whether the transformer is working normally. Timely monitoring of the temperature and vibration state of the transformer can detect faults as early as possible, which is very important for ensuring the safe and reliable operation of the transformer and improving maintenance efficiency. The temperature and vibration information of the transformer has always been a routine maintenance item and an important indicator of whether the transformer is operating normally. However, these indicators are usually monitored by regular manual inspections, but manual inspections not only have high labor costs but also low efficiency, and can only obtain data information of part of the transformer at the same time. Summary of the invention

[0004] The purpose of the present invention is to solve the problem of low efficiency and high cost of online monitoring and fault diagnosis of transformers. The present invention provides a wireless sensing detection method and system.

[0005] The technical solution of the embodiment of the present application is implemented as follows:

[0006] A first aspect of an embodiment of the present application provides a wireless sensing detection method, which is applied to a wireless sensing detection system; the wireless sensing detection system includes a temperature sensor, an acceleration sensor, a main control chip and a Bluetooth gateway; the method includes:

[0007] The temperature parameters of the target to be measured are obtained by using a Wheatstone bridge, and the acceleration parameters of the target to be measured are obtained by using a differential measurement method;

[0008] Performing Kalman filtering on the temperature parameter and the acceleration parameter to obtain filtering parameters;

[0009] The filtering parameters are transmitted to the main control chip via the SPI bus, and are sent to the Bluetooth gateway by the main control chip based on the Bluetooth protocol.

[0010] Optionally, the temperature sensor includes a Wheatstone bridge; and obtaining the temperature parameter of the target to be measured by using the Wheatstone bridge includes:

[0011] Get the voltage difference between the arms of the Wheatstone bridge;

[0012] determining a resistance value of a temperature-variable resistor in the temperature sensor based on the voltage difference;

[0013] The resistance-temperature comparison table corresponding to the temperature-variable resistor is queried to determine the temperature parameter of the target to be measured.

[0014] Optionally, the adopting a differential measurement method to obtain the acceleration parameter of the target to be measured includes:

[0015] Acquiring original acceleration parameters of the target to be measured based on at least two groups of acceleration sensors;

[0016] The acceleration parameter is determined based on a difference between at least two sets of the raw acceleration parameters.

[0017] The second aspect of the embodiment of the present application provides a wireless sensing detection system, comprising: a temperature sensor, an acceleration sensor, a main control chip and a Bluetooth gateway, wherein the temperature sensor and the acceleration sensor are connected to the main control chip via an SPI bus; wherein:

[0018] The temperature sensor adopts a three-wire bridge temperature measurement circuit to obtain the temperature parameters of the target to be measured;

[0019] The acceleration sensor adopts a MEMS sensor to obtain the acceleration parameters of the target to be measured;

[0020] The main control chip receives the temperature parameter transmitted by the temperature sensor and the acceleration parameter transmitted by the acceleration sensor through the SPI bus, and sends the temperature parameter and the acceleration parameter to the Bluetooth gateway based on the Bluetooth protocol.

[0021] Optionally, the main control chip is an nRF52840 chip.

[0022] Optionally, the temperature sensor includes a temperature-variable resistor PT100; the temperature-variable resistor PT100 is electrically connected to the sampling chip.

[0023] Optionally, a power supply module is also included; the power supply module is connected to the I / O pin of the main control chip to indirectly provide intermittent power to the acceleration sensor.

[0024] Optionally, a Kalman filter is provided between the main control chip and the temperature sensor and the acceleration sensor; the Kalman filter is used to perform Kalman filtering processing on the temperature parameter and the acceleration parameter.

[0025] A third aspect of an embodiment of the present application provides an electronic device, including a processor and a memory; the memory stores a computer program, wherein the computer program implements the wireless sensing detection method described in the first aspect when executed by the processor.

[0026] A fourth aspect of an embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method described in the first aspect.

[0027] Compared with the prior art, the technical solution provided by this application has the following beneficial effects:

[0028] The present invention provides a wireless sensing detection method and system, which uses a temperature sensor, an acceleration sensor, a main control chip and a Bluetooth gateway to complete data transmission, wherein the temperature sensor adopts a three-wire bridge temperature measurement circuit to obtain the temperature parameters of the target to be measured; the acceleration sensor adopts a MEMS sensor to obtain the acceleration parameters of the target to be measured; the main control chip receives the temperature parameters transmitted by the temperature sensor and the acceleration parameters transmitted by the acceleration sensor through an SPI bus, and sends the temperature parameters and the acceleration parameters to the Bluetooth gateway based on the Bluetooth protocol. By adopting a three-wire temperature measurement technology and combining a Wheatstone bridge to eliminate the influence of the wire resistance on the measurement result, the accuracy of temperature monitoring is improved, and the differential measurement technology is used to effectively reduce environmental interference and improve the detection accuracy of acceleration. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 A schematic diagram of a flow chart of a wireless sensing detection method provided in an embodiment of the present application;

[0030] Figure 2 A schematic diagram of the structure of a wireless sensor detection system provided in an embodiment of the present application;

[0031] Figure 3 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0032] Below, embodiments of the present application will be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the present application. In the following detailed description, for ease of explanation, many specific details are set forth to provide a comprehensive understanding of the embodiments of the present application. However, it is apparent that one or more embodiments may also be implemented without these specific details. In addition, in the following description, descriptions of known structures and technologies are omitted to avoid unnecessary confusion of the concepts of the present application.

[0033] The terms used herein are only for describing specific embodiments and are not intended to limit the present application. The terms "include", "comprising", etc. used herein indicate the existence of the features, steps, operations and / or components, but do not exclude the existence or addition of one or more other features, steps, operations or components.

[0034] All terms (including technical and scientific terms) used herein have the meanings commonly understood by those skilled in the art, unless otherwise defined. It should be noted that the terms used herein should be interpreted as having a meaning consistent with the context of this specification, and should not be interpreted in an idealized or overly rigid manner.

[0035] Some block diagrams and / or flow charts are shown in the accompanying drawings. It should be understood that some blocks or combinations thereof in the block diagrams and / or flow charts may be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that these instructions, when executed by the processor, may create a device for implementing the functions / operations described in these block diagrams and / or flow charts.

[0036] In some embodiments, see Figure 1 , Figure 1 A flow chart of a wireless sensing detection method provided in an embodiment of the present application; the wireless sensing detection method provided in an embodiment of the present application is applied to a wireless sensing detection system; the wireless sensing detection system includes a temperature sensor, an acceleration sensor, a main control chip and a Bluetooth gateway; the method includes:

[0037] S110, using a Wheatstone bridge to obtain a temperature parameter of the target to be measured, and using a differential measurement method to obtain an acceleration parameter of the target to be measured.

[0038] The working principle of the Wheatstone bridge is based on Ohm's law and Kirchhoff's laws. When the bridge is balanced, the voltages between the four resistors are equal and no current flows through the galvanometer. At this point, the resistance of the resistor to be measured can be calculated based on the three known resistor values. If the bridge is unbalanced, current will flow through the galvanometer and the bridge can be brought back into balance by adjusting one or more of the resistor values. The differential measurement method measures two or more physical quantities simultaneously and determines the measurement result based on the difference between these quantities.

[0039] In some embodiments, the temperature sensor includes a Wheatstone bridge; S110, using the Wheatstone bridge to obtain a temperature parameter of the target to be measured, includes:

[0040] Get the voltage difference between the arms of the Wheatstone bridge;

[0041] determining the resistance value of a temperature-variable resistor in the temperature sensor based on the voltage difference;

[0042] Look up the resistance-temperature comparison table corresponding to the temperature-variable resistor to determine the temperature parameters of the target to be measured.

[0043] In a Wheatstone bridge, when the bridge is unbalanced, there is a voltage difference between the bridge arms. This voltage difference can be measured by a galvanometer (or high-precision voltmeter) connected to the diagonal of the bridge. The resistance of the temperature-dependent resistor can be determined by the known resistance and the measured voltage, and then the temperature parameters of the target to be measured can be determined by querying the resistance-temperature comparison table of the resistor. This comparison table is usually provided by the temperature sensor manufacturer, which lists the relationship between the resistance value and its corresponding temperature. Through a simple lookup or interpolation calculation, the temperature value closest to the measured resistance value can be found, thereby determining the temperature parameters of the target to be measured.

[0044] In an optional embodiment, one port of the bridge circuit is connected to a reference power supply, and the bridge circuit includes four resistors: R1 and R2 are fixed resistors, while R3 is used as a variable resistor during debugging, and a more stable precision fixed value resistor is used after debugging. Ideally, the bridge voltage difference between the measured points should be zero, and a fixed initial value can also be set, which makes the resistance value selection range of the resistor wider.

[0045] In some embodiments, S110, using a differential measurement method to obtain acceleration parameters of the target to be measured includes:

[0046] Acquiring original acceleration parameters of the target to be measured based on at least two groups of acceleration sensors;

[0047] The acceleration parameter is determined based on a difference between at least two sets of raw acceleration parameters.

[0048] In this embodiment, at least two groups of original acceleration parameters at the same time point are obtained, the difference between them is calculated, and the calculated difference is analyzed, and the final acceleration parameter is determined based on the analysis result of the difference, combined with the physical characteristics of the target to be measured and the measurement requirements. This parameter may be the absolute value of acceleration, the rate of change of acceleration, the frequency spectrum characteristics of acceleration, etc.

[0049] In an optional embodiment, the acceleration parameters need to be calibrated first. First, the register data of the X, Y, and Z axes of the target to be measured in a stationary state needs to be known and calibrated. After the calibration is completed, the data is processed and calculated. First, a vector subtraction operation is performed, that is, the offset is subtracted from the original acceleration data read by the sensor to obtain the actual acceleration increment relative to the stationary state, and then these increments are squared in three directions respectively, and a total square sum is added. The square root operation is performed on this square sum to obtain the modulus value of the vibration, that is, the Euclidean distance, which represents the overall vibration amplitude of the sensor in three directions.

[0050] S120, performing Kalman filtering on the temperature parameter and the acceleration parameter to obtain filtering parameters.

[0051] Kalman filtering is an algorithm that uses the linear system state equation to optimally estimate the system state through system input and output observation data. Through Kalman filtering, smoother and more accurate temperature and acceleration parameters can be extracted from noisy measurement data.

[0052] S130, transmitting the filtering parameters to the main control chip via the SPI bus, and the main control chip sends them to the Bluetooth gateway based on the Bluetooth protocol.

[0053] After the temperature sensor converts the temperature information into voltage data, it can be collected through the ADC chip. The collected data is transmitted to the main control chip in the form of digitized voltage data via the SPI bus. Similarly, the acceleration data collected by the vibration sensor is also transmitted to the main control chip via the SPI bus for processing and packaging. Finally, the information is sent to the Bluetooth gateway via the Bluetooth protocol, and then converted into 4G information and uploaded to the cloud server, which then sends the data to the corresponding web interface.

[0054] This embodiment uses a temperature sensor, an acceleration sensor, a main control chip and a Bluetooth gateway to complete data transmission, wherein the temperature sensor uses a three-wire bridge temperature measurement circuit to obtain the temperature parameters of the target to be measured; the acceleration sensor uses a MEMS sensor to obtain the acceleration parameters of the target to be measured; the main control chip receives the temperature parameters transmitted by the temperature sensor and the acceleration parameters transmitted by the acceleration sensor through the SPI bus, and sends the temperature parameters and acceleration parameters to the Bluetooth gateway based on the Bluetooth protocol. By adopting a three-wire temperature measurement technology and combining a Wheatstone bridge to eliminate the influence of wire resistance on the measurement results, the accuracy of temperature monitoring is improved, and the differential measurement technology is used to effectively reduce environmental interference and improve the detection accuracy of acceleration.

[0055] In some embodiments, see Figure 2 , Figure 2 A schematic diagram of the structure of a wireless sensing detection system provided in an embodiment of the present application; The wireless sensing detection system provided in an embodiment of the present application comprises: a temperature sensor 210, an acceleration sensor 220, a main control chip 230 and a Bluetooth gateway 240, wherein the temperature sensor 210 and the acceleration sensor 220 are connected to the main control chip 230 via an SPI bus; wherein:

[0056] The temperature sensor 210 uses a three-wire bridge temperature measurement circuit to obtain the temperature parameters of the target to be measured;

[0057] The acceleration sensor 220 adopts a MEMS sensor and is used to obtain the acceleration parameters of the target to be measured;

[0058] The main control chip 230 receives the temperature parameters transmitted by the temperature sensor and the acceleration parameters transmitted by the acceleration sensor through the SPI bus, and sends the temperature parameters and the acceleration parameters to the Bluetooth gateway 240 based on the Bluetooth protocol.

[0059] In this embodiment, the system configures a lithium battery to power the temperature sensor 210, the acceleration sensor 220, and the main control chip 230. The temperature sensor converts the temperature information into voltage data, which is then collected by the ADC chip. These collected data are transmitted to the main control chip in the form of digitized voltage data via the SPI bus. Similarly, the acceleration data of the vibration sensor is also transmitted to the main control chip via the SPI bus for processing and packaging. Finally, the information is sent to the Bluetooth gateway via the Bluetooth protocol, and then converted into 4G information and uploaded to the cloud server, which then sends the data to the corresponding web page interface.

[0060] In some embodiments, the main control chip is an nRF52840 chip.

[0061] The nRF52840 chip supports multiple protocols such as BLE (Bluetooth Low Energy), Bluetooth Mesh, NFC (Near Field Communication), Thread and Zigbee, and performs well in power consumption control. The power consumption is 38uA / MHz when running in FLASH and 30uA / MHz when running in RAM.

[0062] In some embodiments, the temperature sensor includes a temperature-variable resistor PT100; the temperature-variable resistor PT100 is electrically connected to the sampling chip.

[0063] PT100 has three wiring modes: two-wire, three-wire, and four-wire. The three-wire resistor uses a bridge temperature measurement circuit, which can compensate for the error caused by the wire resistance and has a simple structure. The four-wire system uses a constant current source temperature measurement. The voltage measurement circuit and the circuit circuit are completely separated, and the measurement accuracy is the highest. Here, a three-wire bridge temperature measurement circuit is selected. The three-wire bridge temperature measurement circuit uses the thermal sensitivity of PT100 to convert temperature information into a bridge arm pressure difference. After the voltage signal is amplified, filtered, and AD converted, the system MCU can perform data processing based on the collected signal and then convert it into temperature information.

[0064] In some embodiments, a power supply module is also included; the power supply module is connected to the I / O pin of the main control chip to indirectly provide intermittent power to the acceleration sensor.

[0065] In order to reduce power consumption as much as possible, the power supply can be connected to the I / O pin of the main control chip. By configuring the I / O pin to the strong drive mode, the vibration sensor chip is intermittently powered. On the basis of ensuring the stable operation of the vibration sensor chip, the power consumption of the vibration sensor chip is reduced, thereby saving costs.

[0066] In some embodiments, a Kalman filter is provided between the main control chip and the temperature sensor and the acceleration sensor; the Kalman filter is used to perform Kalman filtering on the temperature parameters and the acceleration parameters.

[0067] Since there will be noise in the system, and noise will affect the stability and accuracy of the measurement results, it is necessary to filter the data to remove irrelevant noise. The Kalman filter algorithm is suitable for vibration and temperature measurement in this system. It can adapt to measurement noise and external interference and provide stable and continuous data output.

[0068] In an optional embodiment, the transformer terminal monitoring node regularly collects acceleration parameters and temperature parameters and sends them to the gateway via a Bluetooth broadcast packet. The system mainly includes three tasks: data collection, data processing, and Bluetooth broadcast transmission. After the system is started, the initialization phase is first performed, including MCU Bluetooth broadcast setting, serial port setting, timer initialization, temperature and vibration sensor initialization, etc. The serial port communication module is initialized for serial communication between the device and external devices. The logging function is initialized to record information and events during device operation. The timer module is initialized to manage various timers and timed tasks in the device. The button and LED module are initialized, and the power management module is initialized to manage the power state and power consumption of the device. Then, the Bluetooth protocol stack is initialized to enable the device to communicate with other Bluetooth devices. Bluetooth broadcast and connection parameters are set to define the role and behavior of the device in the Bluetooth network. The General Attribute Protocol (GATT) is initialized, and the custom services and standard Bluetooth services supported by the device are initialized. After the Bluetooth-related initialization is completed, the SPI interface is initialized so that the device can communicate with the sensor. A message is printed through the serial port to indicate the start of the test, and the information collection function is temporarily turned off at this time. Start Bluetooth broadcasting so that the device can be discovered by other devices. Finally, set the device's transmit power to control the device's Bluetooth signal strength.

[0069] After the system initialization is completed, the system starts the timer and sets a preset time. When the timer reaches the preset time, the timer interrupt signal will be triggered, the processing function will be activated, the data collection flag will be set, and the data collection phase will begin.

[0070] During the data collection phase, the system will perform the collection of acceleration parameters and temperature parameters. The acceleration parameter indicates the vibration of the device, and the temperature parameter reflects the temperature of the current environment. After the data collection is completed, the data collection flag will be cleared, the collected data will be formatted, and broadcast to the Bluetooth gateway via Bluetooth transmission. In order to enhance data stability and reduce errors, the method of continuously collecting acceleration parameters and temperature parameters and performing Kalman filtering on the data is adopted. The filter can adapt to measurement noise and external interference, provide stable and continuous data output, and provide reliable input for temperature and vibration calculations. After obtaining the actual temperature parameters and acceleration parameters, the data is compared with the theoretical normal range to detect whether abnormal data information is generated.

[0071] After the acquisition is completed, the data is processed. The system encapsulates the calculated temperature parameters and acceleration parameters into data frames that comply with the Bluetooth communication protocol and transmits them to the gateway device through the Bluetooth interface. Subsequently, the data is uploaded to the cloud server via the 4G network. After the data transmission is completed, the system re-enters the standby state, waiting for the next timer interrupt signal, and prepares for a new round of measurements.

[0072] The wireless sensing detection system provided in the embodiment of the present application is based on the above-mentioned wireless sensing detection method, which will not be described again here to avoid repetition.

[0073] It should be noted that the wireless sensor detection system provided in the embodiment of the present application and the wireless sensor detection method provided in the embodiment of the present application are based on the same application concept, so the specific implementation of this embodiment can refer to the implementation of the aforementioned wireless sensor detection method, and the repeated parts will not be repeated.

[0074] In some embodiments, see Figure 3 , Figure 3 The electronic device 300 provided in the embodiment of the present application includes a processor 310 and a memory 320; the memory 320 stores a computer program, wherein the computer program implements the above-mentioned wireless sensing detection method when executed by the processor.

[0075] Specifically, the processor 310 may include, for example, a general-purpose microprocessor, an instruction set processor and / or a related chipset and / or a special-purpose microprocessor (e.g., an application-specific integrated circuit (ASIC)), etc. The processor 310 may also include an onboard memory for cache purposes. The processor 310 may be a single processing unit or multiple processing units for executing different actions of the method flow according to the embodiment of the present application.

[0076] The memory 320 may be any medium capable of containing, storing, conveying, propagating or transmitting instructions. For example, the memory 320 may include, but is not limited to, an electrical, magnetic, optical, electromagnetic, infrared or semiconductor system, device, component or propagation medium. Specific examples of the memory 320 include: a magnetic storage device, such as a magnetic tape or a hard disk (HDD); an optical storage device, such as a compact disk (CD-ROM); a random access memory (RAM) or flash memory; and / or a wired / wireless communication link.

[0077] The present application also provides a computer-readable medium on which a computer program is stored, and when the program is executed by a processor, the above-mentioned wireless sensing detection method is implemented. The computer-readable medium may be included in the device / system described in the above-mentioned embodiment; or it may exist independently without being assembled into the device / system. The above-mentioned computer-readable medium carries one or more programs, and when the above-mentioned one or more programs are executed, the method according to the embodiment of the present application is implemented.

[0078] According to an embodiment of the present application, a computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium or any combination of the two. A computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, device or device. In the present application, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, wherein a computer-readable program code is carried. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, optical cable, radio frequency signal, etc., or any suitable combination of the above.

[0079] Those skilled in the art will appreciate that the features described in the various embodiments and / or claims of the present application may be combined and / or combined in a variety of ways, even if such combinations or combinations are not explicitly described in the present application. In particular, without departing from the spirit and teachings of the present application, the features described in the various embodiments and / or claims of the present application may be combined and / or combined in a variety of ways. All of these combinations and / or combinations fall within the scope of the present application. Therefore, the scope of the present application should not be limited to the above-described embodiments, but should be determined not only by the appended claims, but also by the equivalents of the appended claims.

Claims

1. A wireless sensing detection method, characterized in that: Applied to a wireless sensing detection system; the wireless sensing detection system includes a temperature sensor, an acceleration sensor, a main control chip and a Bluetooth gateway; the method includes: The temperature parameters of the target to be measured are obtained by using a Wheatstone bridge, and the acceleration parameters of the target to be measured are obtained by using a differential measurement method; Performing Kalman filtering on the temperature parameter and the acceleration parameter to obtain filtering parameters; The filtering parameters are transmitted to the main control chip via the SPI bus, and are sent to the Bluetooth gateway by the main control chip based on the Bluetooth protocol.

2. The wireless sensing detection method according to claim 1, characterized in that: The temperature sensor includes a Wheatstone bridge; the method of obtaining the temperature parameter of the target to be measured by using the Wheatstone bridge includes: Get the voltage difference between the arms of the Wheatstone bridge; determining a resistance value of a temperature-variable resistor in the temperature sensor based on the voltage difference; The resistance-temperature comparison table corresponding to the temperature-variable resistor is queried to determine the temperature parameter of the target to be measured.

3. The wireless sensing detection method according to claim 1, characterized in that: The method of using a differential measurement method to obtain the acceleration parameter of the target to be measured includes: Acquiring original acceleration parameters of the target to be measured based on at least two groups of acceleration sensors; The acceleration parameter is determined based on a difference between at least two sets of the raw acceleration parameters.

4. A wireless sensing detection system, characterized in that: include: A temperature sensor, an acceleration sensor, a main control chip and a Bluetooth gateway, wherein the temperature sensor and the acceleration sensor are connected to the main control chip via an SPI bus; wherein: The temperature sensor adopts a three-wire bridge temperature measurement circuit to obtain the temperature parameters of the target to be measured; The acceleration sensor adopts a MEMS sensor to obtain the acceleration parameters of the target to be measured; The main control chip receives the temperature parameter transmitted by the temperature sensor and the acceleration parameter transmitted by the acceleration sensor through the SPI bus, and sends the temperature parameter and the acceleration parameter to the Bluetooth gateway based on the Bluetooth protocol.

5. The wireless sensing detection system according to claim 4, characterized in that: The main control chip is nRF52840 chip.

6. The wireless sensing detection system according to claim 4, characterized in that: The temperature sensor includes a temperature-variable resistor PT100; the temperature-variable resistor PT100 is electrically connected to the sampling chip.

7. The wireless sensing detection system according to claim 4, characterized in that: It also includes a power supply module; the power supply module is connected to the I / O pin of the main control chip to indirectly provide intermittent power to the acceleration sensor.

8. The wireless sensing detection system according to claim 4, characterized in that: A Kalman filter is provided between the main control chip and the temperature sensor and the acceleration sensor; the Kalman filter is used to perform Kalman filtering processing on the temperature parameter and the acceleration parameter.

9. An electronic device comprising a processor and a memory; the memory stores a computer program, wherein: When the computer program is executed by the processor, the computer program implements the wireless sensing detection method according to any one of claims 1 to 3.

10. A computer-readable storage medium having a computer program stored thereon, wherein when the program is executed by a processor, the steps of the method according to any one of claims 1 to 3 are implemented.

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