3625 results about "Signal transition" patented technology

The invention relates to the technical field of coal mine telemetering, in particular to a mining laser methane telemetering system based on multispectral fusion, which comprises a multispectral laser emission module, an optical receiving and signal conversion module, a multispectral fusion processing module, an intelligent algorithm compensation module, a data transmission and display module and a power supply module. According to the method, accurate and real-time monitoring of the methane concentration in the coal mine environment is achieved, reliable guarantee is provided for coal mine safety production, compared with a traditional neural network compensation model, the optimized neural network compensation model has the advantages that the methane concentration compensation precision is greatly improved, the generalization ability of the model to different environment conditions is obviously enhanced, and the method is suitable for popularization and application. Accurate measurement of methane concentration can be realized in a more complex and changeable coal mine environment. Meanwhile, due to the application of a dynamic weight compensation mechanism and an uncertainty quantification and compensation adjustment method, the reliability and the stability of a measurement result are further improved, and a more powerful guarantee is provided for safe production of a coal mine.

The invention discloses a multi-person posture recognition method based on CSI (Channel State Information) and an attention mechanism, and the method comprises the steps: constructing a multi-person posture recognition system MultiFormer based on the CSI and the attention mechanism, designing a double-TokenTransformer architecture of a time-frequency double-domain Token TFDDT, converting an original CSI signal into a time domain Token and a frequency domain Token, maintaining the local feature continuity of the time domain and the frequency domain, and carrying out the recognition of the posture of a plurality of persons. And a multi-stage feature fusion network MSFN is developed to optimize a part thermodynamic diagram PCM and a part associated field PAF, and the fusion of CSI features and an intermediate attitude thermograph is realized through an adaptive channel-space attention mechanism, so that the anatomical consistency is ensured, and a multi-person scene is supported. According to the method, a MultiFormer system is provided and is different from existing CSI imaging processing, an interpretable TFDDT preprocessing method is adopted, the system adopts a multi-stage heat map estimation method to realize global attitude perception, the estimation precision is improved through iterative optimization, a multi-person scene is supported, attitude topology conforming to an anatomical structure is generated, and the method has the advantages of being simple in structure, convenient to operate and high in practicability. The method has the characteristics of privacy protection, low cost and no influence of illumination.

The invention discloses a power distribution equipment on-line monitoring system based on multi-modal data fusion, and relates to the field of power distribution equipment management, and the system comprises a sensing module which is used for collecting an electrical signal, a thermal infrared signal, a mechanical vibration signal and an acoustic signal generated in the operation process of power distribution equipment through a multi-type sensing channel, converting the collected various signals into processable equipment state original data to form an equipment operation state original data set; according to the invention, through accurate acquisition of multi-dimensional signals, combination of space mapping and time delay compensation, data quality is optimized, the reliability of original information is ensured, key features are extracted according to working conditions, subtle state changes are captured by means of temperature field analysis and a variable-resolution spectrum technology, the comprehensiveness, accuracy and response timeliness of equipment operation monitoring are effectively improved, and the real-time performance of equipment operation monitoring is improved. Misjudgment and missed judgment are reduced, and fault risks are avoided in advance.

The invention discloses a signal sampling method for a multi-channel signal converter, and the method comprises the steps: carrying out the synchronous and parallel sampling of an analog signal source according to a multi-channel signal collection module, so as to obtain multi-channel original signal sequence data; performing inter-channel time delay calibration and amplitude normalization processing on the multichannel original signal sequence data to obtain a calibrated multichannel signal data set; the invention relates to the technical field of signal processing. According to the signal sampling method for the multi-channel signal converter, the multi-channel signal converter improves the data consistency and accuracy through the technologies of synchronous sampling, time delay calibration, amplitude normalization and the like, meanwhile, precision adjustment of self-adaptive filtering, dynamic threshold segmentation and entropy driving is adopted, signal interference and abnormal data are reduced, and the signal quality is improved. The non-uniform resampling and compression technology is adopted to optimize the storage and transmission efficiency, key data is ensured to be transmitted preferentially, hardware is accelerated through an FPGA, and the real-time performance and the processing capacity of the system are improved.

The invention relates to the technical field of particle accelerators, in particular to a transverse feedback system with a switchable excitation direction and a control method thereof, and the system comprises a beam position detector BPM which is used for measuring a beam signal; the RF front end is used for receiving the beam signal sent by the beam position detector BPM and carrying out amplification and filtering processing; the ADC module is used for converting the beam signal into a digital signal; the digital signal processing module is used for carrying out digital signal processing calculation to obtain an excitation signal; the DAC module is used for carrying out digital-to-analog conversion; the power divider is used for adjusting the phase of the excitation signal; the exciter comprises four Kickers with electrodes, a power amplifier, a low-pass filter and a matched load and is used for applying a transverse excitation signal to the beam current, and the problems that in the prior art, a transverse feedback system Kicker occupies a large longitudinal space, the system is complex, and precision and efficiency are low are solved.

An apparatus (and / or method) for training machine-learning model to make determinations from mismatched channel signals, wherein the apparatus includes a processor and memory communicatively connected to the processor. The memory containing instructions configuring the processor to receive a first set of signals using a first number of channels, process the first set of signals to simulate a second set of signals from a second number of channels, train a signal conversion model using the first set of signals and the second set of signals, and output a set of converted signals having the first number of channels using the third set of signals and the trained signal conversion model.

A method of decoding a received communication signal is provided. The method may comprising converting the received communication signal to the frequency domain to provide frequency domain data. The method may further comprise combining amplitudes of one or more selected frequency components of the frequency domain data, the one or more frequency components being selected according to a predefined communication symbol comprising one or more selected frequency tones corresponding to the one or more selected frequency components. The method may further comprise detecting the predefined communication symbol in the received communication signal depending on the combined amplitudes of the one or more selected frequency components of the frequency domain data.

The invention provides an adjustable power distribution circuit capable of realizing any polarization mode, the adjustable power distribution circuit is positioned between a radio frequency circuit and at least one antenna assembly, the adjustable power distribution circuit comprises an input signal part, at least two signal control parts, a processing unit and at least one orthogonal coupling circuit, the input signal part can convert a radio frequency signal from the radio frequency circuit into a plurality of corresponding input signals and transmit the input signals to each signal control part, each signal control part can convert the input signals into corresponding control signals according to a processing instruction of the processing unit and then transmit the control signals to the orthogonal coupling circuit, and the orthogonal coupling circuit transmits the control signals to the radio frequency circuit. And the orthogonal coupling circuit generates two output signals with a phase difference of 90 degrees, and transmits the output signals to the antenna assembly. Therefore, the adjustable power distribution circuit can enable the antenna assembly to form a linear polarization mode, a circular polarization mode or an elliptical polarization mode in any direction according to actual requirements of products.

The invention relates to the technical field of integrated circuit board manufacturing and packaging, and discloses an integrated circuit board manufacturing and packaging method and system based on laser measurement, and the method comprises the steps: sensing arrangement: employing a focusing lens to focus a laser beam to the surface of a substrate, arranging a reflector and a spectroscope to guide the laser beam to the surface of the substrate, meanwhile, a sensor is arranged in the packaging equipment for monitoring; signal conversion: receiving a reflected light signal by adopting a silicon photodiode, and converting the reflected light signal into an electric signal; data acquisition: acquiring electric signal data, environment data and substrate information data; data calculation: calculating a warping prediction index and an offset prediction index; data evaluation: evaluating the packaging effect index; and comprehensive judgment: according to the packaging result index, judging whether automatic adjustment and compensation need to be carried out, and under the condition that automatic adjustment and compensation need to be carried out, calculating a compensation coefficient to carry out automatic compensation, so that active suppression of the substrate warping offset defect and intelligent improvement of the process efficiency are realized.

The invention relates to the technical field of soil heavy metal pollution detection, and discloses a soil heavy metal pollution detection method and system, and the method comprises the steps: collecting an original signal containing a target heavy metal characteristic signal and a plurality of auxiliary background signals; preprocessing the original signal to obtain a preprocessed multi-dimensional signal; analyzing the multi-dimensional signal to identify interference characteristics of the target heavy metal characteristic signal and the auxiliary background signal; according to the interference characteristics of the auxiliary background signal, evaluating the composition and intensity of background interference, and according to the composition and intensity of the background interference, separating a pure signal of the target heavy metal from the background by using a nonlinear compensation algorithm; the target heavy metal pure signal is converted into the concentration value of the target heavy metal, chemical digestion is not needed, complex background interference can be effectively recognized and compensated for for soil heavy metal pollution detection, the accuracy and reliability of field detection are remarkably improved, and errors caused by inaccurate reagent degradation and background deduction in a traditional method are overcome.

The invention discloses a multipath signal conversion crosstalk-free optimization system and method, and relates to the technical field of data acquisition and signal processing, and the system comprises a detection module which is used for generating an initial calibration parameter based on a synchronization signal phase deviation detection result, and an adjustment module which is used for adjusting the frequency and phase of a sampling clock according to the initial calibration parameter, the calibration module is used for carrying out alignment calibration on multiple paths of data to obtain an alignment error value, and the optimization module is used for further optimizing a sampling clock based on the alignment error value to realize accurate calibration; compared with a traditional hardware phase-locked loop system, the multipath signal conversion crosstalk-free optimization system and method have higher adjustment flexibility and synchronization precision, are suitable for a high-frequency and high-precision data acquisition application environment, and improve overall sampling accuracy and data analysis reliability while maintaining system stability.

The invention discloses a radio frequency voltage sensor and a plasma source system. The radio frequency voltage sensor comprises a signal acquisition module and a signal processing circuit. The signal processing circuit comprises a rectangular wave pulse detection module, a signal conversion module, a peak holding module and an operation output module; the input end of the rectangular wave pulse detection module receives a pulse synchronization signal; the signal conversion module is connected with the output end of the signal acquisition module; the first input end of the peak holding module is connected with the output end of the signal conversion module, and the second input end of the peak holding module is connected with the output end of the rectangular wave pulse detection module; and the operation output module is connected with the output end of the peak holding module. According to the radio frequency voltage sensor and the plasma source system provided by the invention, the peak voltage corresponding to the single-stage pulse can be accurately detected, the peak voltage corresponding to the multi-stage pulse can also be stably detected, the output is prevented from jumping to zero during the pulse closing period, and the stability and practicability of measurement are improved.

The invention discloses a high-speed level conversion circuit, and belongs to the technical field of integrated circuit design, the circuit mainly comprises an input signal processing module, a voltage boosting module, a differential signal generation module, a signal amplification module and an output module, the input signal processing module converts a low-voltage input signal into a complementary logic signal pair; the voltage boosting module raises the voltage amplitude of the complementary logic signal by using a charge pump principle; the lifted signal drives a thick gate transistor in the differential signal generation module to generate a differential signal; the signal amplification module adopts a cross coupling structure to quickly amplify the differential signal; and finally, the output module outputs a high-voltage domain signal in an inverted manner. By introducing voltage bootstrap before gate driving, the overdrive voltage of a core switch tube is remarkably increased, so that the problem of low conversion speed of a traditional level conversion circuit is effectively solved on the premise of not increasing the device size and static power consumption, and high-speed and high-efficiency level conversion is realized.

The invention relates to the technical field of bridge engineering detection, in particular to a distributed optical fiber strain sensing detection system for a bridge engineering dynamic and static load test, and the system comprises a distributed optical fiber strain sensing module which is used for obtaining the strain information of different positions of a bridge; the dynamic and static load signal acquisition and conversion module is used for converting the strain signal into a strain electric signal suitable for transmission and processing; the temperature compensation module is used for carrying out temperature compensation on the strain signal according to the change of the collected environment temperature; the data processing and analyzing module is used for processing and analyzing the strain electric signal subjected to temperature compensation so as to obtain the strain distribution condition and related parameters of the bridge structure under the action of dynamic and static loads; and the monitoring and early warning module is used for monitoring the state of the bridge in real time according to the result obtained by the data processing and analyzing module and sending out an early warning signal when the strain of the bridge is abnormal. The problem that in the prior art, comprehensive, high-precision and real-time dynamic and static load strain monitoring cannot be carried out on bridge engineering is solved.

The invention provides an intelligent fire-fighting method and system for a photovoltaic power station based on the Internet of Things, and the method comprises the steps: collecting temperature data through a distributed optical fiber temperature measurement unit, avoiding electromagnetic interference through optical signal conversion, analyzing the spectral feature difference between electro-arc light and combustion flame through a spectral feature separation unit, and carrying out the analysis of the spectral feature difference. Correlating the particulate matter concentration with the specific gas component through the multi-source coupling smoke sensing unit to obtain anti-interference data; space-time probability fusion is executed, and fire confidence is generated through alignment; a trigger response is calculated according to the combination of the fire confidence coefficient, the temperature rise trend slope and the smoke diffusion speed; running a self-adaptive parameter adjustment engine, and generating a sensing layer calibration coefficient and a decision rule optimization instruction; the parameter optimization instruction is issued to the sensing device, the calibration effect is verified, the influence of dust, electromagnetic interference and other factors is effectively avoided through the collected anti-interference data, the response is determined in combination with temperature rise and delay diffusion, the probability of false triggering is effectively reduced, and the accuracy of fire detection is improved.

The invention discloses an SATA (Serial Advanced Technology Attachment) bus system based on an FPGA (Field Programmable Gate Array) and an implementation method thereof, and the SATA bus system comprises a hierarchical protocol processing unit which is used for realizing command analysis, data encapsulation, channel coding and signal conversion functions; the control module is used for receiving a read-write command and read-write parameters sent by the host, and then controlling the hierarchical protocol processing unit to read target data of the storage device according to the read-write command and the read-write parameters, or controlling the hierarchical protocol processing unit to write the target data into the storage device; the command and data processing module is used for caching read-write commands, read-write parameters and upper computer data in FIFO (First In First Out) in a layered manner; and the test data processing module is used for testing whether the storage equipment reads and writes the data normally to obtain a test result. According to the method, the interface design is simple and clear, the delay is low, the data reading and writing function of the storage medium can be tested without intervention of a host or a CPU, and the method can be widely applied to the technical field of serial advanced technology accessory interface control.

The invention discloses an eddy current displacement sensor sine constant current source excitation method, and belongs to the technical field of sensor measurement and control. The method comprises the following steps: S1, generating positive and negative symmetric reference voltages through a reference voltage source circuit; s2, outputting a square wave control signal with adjustable frequency by the control chip, and driving a switching circuit to generate a square wave taking the positive and negative reference voltage as a level; s3, processing the square wave through a filter circuit to obtain a standard sine wave voltage signal; and S4, converting the sine voltage signal into sine constant current source excitation through a Howland current source circuit, and outputting the sine constant current source excitation to a sensor probe coil. According to the invention, through combination of digital control and analog conversion, the circuit structure is simplified, the cost is significantly reduced, and convenient adjustment of the output frequency and high stability and precision of the output current are realized at the same time.

Conventional Orthogonal frequency division multiplexing (OFDM) is unable to retain its orthogonality and suffers loss in performance in high Doppler circumstances. The present disclosure converts a signal received in delay-time domain into delay-Doppler domain and extracts a guard band region from the received converted signal. A 2-dimensional fast Fourier transform is performed on guard band region extracted from received converted signal. A 2-dimensional fast Fourier transform of the received converted signal is divided with the 2-dimensional fast Fourier transform of transmitted signal to extract phase information. A dictionary is created using a pre-defined set of values of delay and Doppler. A sparse recovery problem is formed for received converted signal using an orthogonal matching pursuit algorithm. One or more parameters are estimated by identifying one or more locations pertaining to the one or more columns corresponding to L significant non-zero locations comprised in sparse vector of sparse recovery problem.

The invention discloses a music source separation method and wearable equipment, and relates to the technical field of signal processing, music source separation is performed by adopting a neural network model of a UNet architecture, the neural network model at least comprises an encoder and a decoder, and the method comprises the following steps: obtaining an original signal of a to-be-separated music source, and converting the original signal to a frequency domain to obtain a frequency domain signal; performing feature coding processing on the frequency domain signal through an encoder to obtain coded feature data, the feature coding processing including feature extraction, and the encoder performing feature extraction processing at least by using a TFC-TDF block of causal convolution; and performing feature decoding processing on the coded feature data through a decoder, and outputting to obtain a music source separation result. According to the method and the device, low-delay music source separation is realized in the end side equipment with limited resources.

The invention relates to a multi-fan blade angle non-uniform distribution structure for reducing beat vibration noise, and aims to solve the technical problem that the beat vibration noise is difficult to reduce through scientific and accurate blade number setting and blade angle non-uniform distribution design of existing similar products. Blades at a fan of the structure are arranged at non-uniform angles by taking a shaft core in a hub as a center, and the non-uniform angles are circular angles formed by the blades which are arranged at non-uniform angles by taking the shaft core in the hub as the center; the method is characterized in that the blades modulate the real-time rotating speed of each fan through a control center so as to avoid frequency discretization or set the number of the blades according to discrete noise frequency distance, and finally the non-uniform distribution angles between the blades are obtained through blade angle non-uniform distribution modulation; the control center is a control module which comprises a control chip and a signal conversion input and output port and is used for data calculation and processing. When the mode B is selected in the real-time regulation and control stage of the blade angle non-uniform distribution modulation, a sorting and interval greedy algorithm is adopted.

The invention discloses a distributed optical fiber sensing positioning system and positioning method based on asymmetric double Mach-Zehnder. The distributed optical fiber sensing positioning system comprises an asymmetric double Mach-Zehnder distributed optical fiber sensing module and a disturbance positioning module. The optical fiber sensing module comprises a first light source, a second light source, an asymmetric double Mach-Zehnder interferometer, a data acquisition card and an industrial personal computer; two beams of light emitted by the first light source and the second light source are respectively propagated clockwise and anticlockwise in a sensing loop, and interfere in couplers at opposite ends in the interferometer to form two paths of interference signals, and the data acquisition card acquires the two paths of interference signals, converts the two paths of interference signals into electric signals, and sends the electric signals to the industrial personal computer for signal processing; the disturbance positioning module is used for obtaining a positioning result, a double-endpoint detection method based on median filtering is adopted in the aspect of endpoint detection, iterative variational mode decomposition is used in the aspect of time-frequency change feature extraction, and envelope extraction and generalized secondary cross-correlation time delay estimation algorithms are used in the aspect of time delay estimation positioning.

The invention relates to the technical field of power cable data communication, in particular to a power line carrier communication system peak-to-average power ratio suppression method, which comprises the following steps: carrying out structure definition on modulated frequency domain data at a sending end, constructing a complete spectrum signal, and carrying out copying based on the complete spectrum signal to respectively obtain a processing signal and an original signal; training an LSTM auto-encoder model, and inputting the processing signal to the trained LSTM auto-encoder model to optimize the bit error rate and the peak-to-average ratio loss so as to generate a peak clipping signal; splicing the peak clipping signal with the original signal to form a new sending signal; a transmit signal is converted into a time domain signal based on an inverse fast Fourier transform. The method has the effect of improving the carrier communication quality and communication efficiency of the power line.

The invention discloses an intelligent seabed energy detection system and method based on visible light communication, and belongs to the technical field of deep sea detection, the detection system comprises a data acquisition system (1) and a visible light communication system (2), the data acquisition system (1) structurally comprises a high-definition camera (11), an underwater sensor (12) and a first analog-to-digital converter ADC (13), the visible light communication system (2) structurally comprises a transmitting end and a receiving end; the detection method comprises the steps of front-end acquisition, signal conversion, signal processing, optical signal transmission and signal restoration. The characteristics of high frequency and large bandwidth of light waves are utilized, the intensity of light is modulated, binary code element signals are converted into optical signals, the optical signals are received through the photoelectric detector for underwater information transmission, efficient and real-time submarine energy monitoring and analysis are achieved, and comprehensive technical support is provided for development and utilization of submarine energy.

The invention discloses a peak code modulation circuit based on a dynamic memristor, which comprises the dynamic memristor and a signal conversion module, and is characterized in that the signal conversion module comprises a signal isolation module, a feature extraction module and a pulse conversion module which are connected in sequence. The dynamic memristor generates a voltage signal with a slow-rising and steep-falling characteristic under constant current input. The signal isolation module comprises a high-impedance input buffer circuit; the feature extraction module comprises an asymmetric time constant signal processing circuit used for performing enhanced extraction on the steep drop feature of the memristor output signal; and the pulse conversion module comprises a dual-threshold positive feedback hysteresis comparison circuit and is used for converting the output signal of the feature extraction module into a rectangular digital pulse. The circuit is specially designed according to the characteristics of the memristor, is simple in structure, is easy to integrate, can achieve the efficient conversion from an analog signal to a standard digital pulse, and is suitable for the fields of neuromorphic calculation and low-power-consumption signal processing.

A multi-channel analog-digital converter (ADC) subsystem for test device such as a spectrum analyzer may include multiple multi-channel ADCs to receive down-converted signals and convert the received signals to digital output signals, a field programmable gate array (FPGA) to select one or more ADCs based on a frequency, a bandwidth, and / or a signal type of each received signal and a characteristic of each ADC, and an ADC sample clock to provide a clock signal to the selected ADCs. Characteristics of the ADCs may include a resolution, a signal-to-noise-and-distortion ratio (SINAD), an effective number of bits (ENOB), a signal-to-noise ratio (SNR), a total harmonic distortion (THD), a total harmonic distortion plus noise (THD+N), and / or a spurious free dynamic range (SFDR).

The invention relates to a wide-range multichannel high-resistance tester, which belongs to the technical field of electronic measurement, and is characterized in that each measurement channel is connected with a resistor to be measured; the upper computer executes measurement control and data processing on the wide-range multi-channel high-resistance tester; the ARM processor sends the test instruction to the FPGA processor; the FPGA processor is used for controlling the wide-range switching module and the channel switching module; the channel switching module is used for switching a measurement channel needing to be measured; each current sampling unit collects a current signal of the to-be-measured resistor passing through the corresponding measurement channel; the range switching module adopts a self-adaptive range switching algorithm to select an optimal range; the amplification circuit amplifies the current test signal; the ADC module converts the amplified current test signal into a current digital signal; and the FPGA processor calculates the resistance value of the resistor to be measured on the corresponding measurement channel according to the current digital signal. The invention has the characteristics of wide measuring range, high efficiency and high stability.

The invention discloses a smelting process monitoring system of a medium-frequency electric furnace and a process guidance method of the smelting process monitoring system. The system comprises an edge acquisition terminal and a cloud platform, the edge acquisition terminal comprises an intermediate frequency voltage transmitter used for acquiring a voltage signal at the output side of the intermediate frequency electric control cabinet and converting the voltage signal into a first analog signal; the intermediate-frequency current transmitter is used for collecting a current signal at the output side of the intermediate-frequency electric control cabinet and converting the current signal into a second analog signal; the analog quantity conversion module is used for converting the first analog signal and the second analog signal into digital signals; the intelligent thermodetector is used for measuring the temperature of the molten metal in real time and sending temperature data; the cloud platform is used for receiving and processing the digital signal and the temperature data and storing high-frequency sampling data; identifying a smelting stage through an LSTM network; power control is optimized on the basis of a Transform model and a GAN model; and integrating an expert knowledge base and providing process guidance. According to the system, comprehensive digitization and real-time accurate sensing of the smelting process are achieved; and the timeliness and scientificity of decision making are improved.

A system and method are described for emitter identification and tracking in an electronic warfare (EW) environment. The system includes an antenna array configured to receive signals from radio frequency (RF) emitters during a dwell. Processing circuitry converts the received signals into digital signals. Pulses are detected and characteristics of the pulses determined to form pulse descriptor words (PDWs). The PDWs obtained during the dwell are deinterleaved using unsupervised machine learning to form clusters. The clusters are categorized using one or more supervised machine learning algorithms to determine whether the PDWs correspond to known or unknown emitters and the results tracked as in or out of library emitters. After merging the in or out of library emitters, an emitter report is generated and used to update a library of emitter profiles used by the supervised machine learning algorithms as well as determine countermeasures to generate.

An example device includes a rectifier that converts an AC signal received at an AC side of the rectifier from a wireless charging receive coil into a DC power signal output at a DC side of the rectifier; a first capacitor connected to an upper rail of the AC side; a second capacitor connected to a lower rail of the AC side; a first switch between the first capacitor and a ground; a second switch between the second capacitor and the ground; and a controller configured to: toggle the first switch and the second switch to communicate with an external device; determine, based on a comparison of voltage levels measured at the computing device, whether to set the switches as open or closed when not communicating; and set, responsive to determining to set the switches as closed, the first switch and the second switch as closed when not communicating.

The invention discloses a low-power-consumption winch sensor based on a tunneling magnetoresistance effect. The low-power-consumption winch sensor comprises a measurement module, a signal conversion unit, a shell, a mandrel, a magnetic rotary disc and a detection assembly. The magnetic turntable and the mandrel are connected and rotate synchronously, the detection assembly comprises a TMR sensing element and N magnets, and the magnetic turntable is provided with mounting blind holes for embedding the magnets; the TMR sensing element is arranged on the shell and comprises a mounting plate and two sensing units, the magnetic domain directions of the two sensing units are perpendicular to the rotation axis, magnetic resistance signals of the two sensing units are converted through the signal conversion unit and input into the measuring module, the horizontal distance between the centers of the two sensing units and the magnet and the rotation axis is R, and the center distance L of the two sensing units is smaller than R * sin (180 degrees / N); the sensor is based on the TMR tunneling magnetoresistance effect, is high in detection sensitivity and low in energy consumption, outputs square wave signals with phase differences, can be used for a measurement module to accurately analyze and calculate the rotating speed and the rotating direction of a winch roller, is simple in overall structure, small in radial size and easy to install, and the installation precision is controlled.