606 results about "Contact sensor" patented technology

The invention relates to the technical field of psychological health monitoring, in particular to a self-injury behavior early warning and intervention method and system based on multi-modal physiological data and AI.The method comprises the steps that physiological signals, behavior data, text data and environment parameters of a user are collected in real time based on a contact sensor and non-contact sensing equipment, and the physiological signals, the behavior data, the text data and the environment parameters of the user are obtained; generating a multi-source original data set; performing time synchronization and spatial correlation analysis on the multi-source original data set to form a fusion feature vector; inputting the fusion feature vector into a preset multi-modal deep learning model, obtaining a self-injury behavior risk score value, and dividing risk levels based on the self-injury behavior risk score value; and triggering a hierarchical intervention strategy of AI psychological counseling, emergency contact notification and medical resource linkage according to the risk level. The method has the effect of improving the precision and quality of teenager mental health assessment and self-injury behavior early warning results.

The invention discloses a sleep state monitoring and analyzing system based on multi-sensor fusion, and relates to the technical field of health monitoring, the sleep state monitoring and analyzing system comprises a multi-modal sensor module used for collecting multi-dimensional data related to a sleep state, the multi-dimensional data comprises a bio-electricity signal, a physiological parameter, body movement data and an environment parameter, and the multi-modal sensor module is used for collecting the multi-dimensional data; the multi-modal sensor module comprises a non-contact sensor, a flexible electronic skin sensor and a bio-electricity signal sensor, and the data fusion and processing module is used for carrying out preprocessing, dynamic self-adaptive fusion and federal learning modeling on collected original data. According to an existing contact type sleep state monitoring scheme, more flexible and accurate sleep state data are realized through a non-contact type monitoring sensor in cooperation with dynamic adjustment of sleep monitoring content and adjustment of weights of various sensors for monitoring the sleep state; and a more accurate and intuitive reference report is provided for the sleep state and the health state of the subsequent user.

The invention relates to the technical field of equipment state monitoring, in particular to an emergency cut-off valve bolt looseness detection method and system based on multi-modal fusion. The method specifically comprises the following steps of multi-source data synchronous acquisition, accelerometer installation and data processing, environmental adaptability preprocessing, bolt area optical flow feature extraction, Kalman filtering multi-source fusion, bolt looseness detection and loose bolt positioning. According to the emergency cut-off valve bolt looseness detection method based on multi-modal fusion, online, automatic and real-time accurate monitoring and early warning are achieved, the reliability and the anti-jamming capability of the system are remarkably improved, a high-precision and quantifiable objective diagnosis result is provided, good economical efficiency and large-scale deployment feasibility are achieved, and the method is suitable for popularization and application. The industrial pain point that a traditional contact type sensor scheme is difficult to apply to an industrial site with a large number of bolts in a large scale due to too high cost and technical complexity is effectively solved.

The invention relates to the technical field of elevators, in particular to an elevator traction machine vibration reconstruction method and system based on a millimeter wave radar. The method comprises the steps that in the elevator running process, echo signals of a millimeter wave radar are collected; firstly, a continuous phase sequence is obtained through echo signals; generating a rough vibration signal in a radar sight line direction according to a phase-displacement mapping relation, calculating a physical confidence coefficient, constructing a dual-channel physical prior tensor, synthesizing a three-axis reconstruction vibration signal tensor by using a PGGN physical gating generation network, and finally performing physical rationality evaluation on the three-axis reconstruction vibration signal tensor. And adjusting the gating parameters of the anisotropic physical gating unit according to the evaluation result. On the premise that a contact sensor does not need to be installed on the surface of the traction machine for a long time, physical consistency reconstruction of the three-axis vibration signals of the elevator traction machine is achieved.

The invention relates to the technical field of corn cultivation, and discloses a corn variety cultivation device based on a molecular marker assisted technology, the corn variety cultivation device comprises a base and a plurality of fixed guide rails fixed in the base, a sliding plate is slidably arranged on the base, and a plurality of movable guide rails perpendicular to the fixed guide rails are slidably connected in the base; a sliding column is fixedly installed at the bottom of each movable guide rail, a plurality of sliding grooves are formed in the sliding plate, the multiple sliding columns are in sliding fit in the multiple sliding grooves in a one-to-one correspondence mode, and a planting assembly is arranged at the intersection position of each fixed guide rail and the corresponding movable guide rail; the planting assembly comprises a moving seat, a planting box and a vertical plate; wherein a moving plate is slidably arranged on the vertical plate of one planting assembly, and a contact sensor is fixed to one end of the moving plate. According to the invention, automatic adjustment of the spacing of corn plants in different growth stages can be realized, the operation is simple, and the efficiency is high.

The invention discloses a child mouth breathing monitoring method, device and equipment and a medium, and the method comprises the steps that a non-contact sensor group is used for synchronously collecting multi-mode physiological data of a target child in the sleep period, and the multi-mode physiological data at least comprises a face thermal imaging video stream, a thoracic and abdominal micro-motion signal and an environment audio signal; the multi-modal physiological data is processed, multi-modal features related to respiration are extracted respectively, and the multi-modal features comprise thermodynamic change features of mouth and nose areas extracted based on a face thermal imaging video stream, respiratory effort waveforms extracted based on thoracic and abdominal micro-motion signals, and the respiratory effort waveforms extracted based on the thoracic and abdominal micro-motion signals; extracting a sound source spatial position and a spectrum feature of breathing sound based on the environment audio signal; inputting the multi-modal features into a pre-trained mouth breathing recognition model, and outputting a judgment result of the functional mouth breathing event of the target child within a specific time period; and generating a mouth breathing monitoring report of the target child based on the judgment result.

The invention discloses a rotating blade vibration measurement method based on vision, and relates to the technical field of measurement. In order to solve the technical defect that circumferential and radial vibration displacements of a blade cannot be simultaneously and synchronously obtained in a high-speed rotating state in the prior art, the technical scheme provided by the invention is as follows: calculating the time when the blade reaches a preset measurement position based on a non-contact sensor, and respectively triggering a high-speed camera to collect circumferential and radial original images; the method comprises the following steps: performing micro motion amplification processing on an image, tracking pixel movement by using a sparse optical flow algorithm and converting the pixel movement into vibration displacement, and finally performing time domain and frequency domain feature extraction on circumferential and radial vibration data to obtain vibration feature parameters. The method is suitable for online vibration monitoring and analysis work of rotating blades of wind driven generators or aero-engines and the like under the condition of high-speed rotation.

The invention provides an equipment vibration measurement device based on machine vision and a laser radar. The equipment vibration measurement device comprises a collaborative sensing system, a visual vibration inversion module, a multi-modal feature fusion and fault knowledge base module and an edge end lightweight intelligent diagnosis module. The collaborative sensing system is used for collecting a video stream of a target area and providing an absolute displacement reference; the visual vibration inversion module is used for processing the video stream to generate a vibration spectrogram; the multi-modal feature fusion and fault knowledge base module is used for constructing a multi-dimensional feature vector and a feature knowledge base; and the edge end lightweight intelligent diagnosis module is used for identifying a fault type and outputting a diagnosis result and confidence. According to the invention, non-contact, high-precision and full-automatic vibration state sensing and fault diagnosis are realized, the core target is to completely get rid of the dependence on a contact sensor, the limitation of a pure vision scheme in a complex industrial environment is overcome, and finally millisecond-level real-time fault identification and early warning are realized on the edge side with limited resources.

The invention discloses a cattle oestrus monitoring method based on multi-camera data fusion, and relates to the technical field of cattle oestrus monitoring. According to the cattle oestrus monitoring method based on multi-camera data fusion, cattle behaviors under complete shielding are visualized through multi-camera dynamic cooperation and skeleton movement deduction; a space-time slice attention mechanism is combined with joint dynamics calculation, target actions are reversely deduced from adjacent cattle body movements, the problem of climbing misjudgment caused by shielding of a traditional visual system is thoroughly solved, and the monitoring reliability in dense cattle herds is remarkably improved; the method comprises the following steps: establishing a differential filtering model of limp gaits and oestrus behaviors; based on acceleration signal time-frequency characteristics and duration determination, a false alarm signal is dynamically suppressed, the inherent defects of a contact sensor in a special physiological state are overcome, and the manual re-checking cost is reduced.

The utility model discloses a tray contact type redundancy in-place detection device of a bidirectional telescopic pallet fork. The tray contact type redundancy in-place detection device comprises a bottom plate, a left contact plate, a right contact plate, a spring, a pin shaft, an induction type sensor and a contact type sensor. The two ends of the left contact plate and the two ends of the right contact plate are respectively provided with two sets of concentric round holes, one set of holes of the left contact plate and one set of holes of the right contact plate are hinged together through a pin shaft, the whole bottom plate is in a U shape, the two ends of the bottom plate are provided with through kidney-shaped grooves, and the other set of round holes of the left contact plate and the other set of round holes of the right contact plate can move in notches of the bottom plate through pin shafts. And a spring is connected between the two pin shafts for connecting the left contact plate, the right contact plate and the bottom plate to ensure that the pin shafts lean against the inner sides of the two waist-shaped notches of the bottom plate when the tray is not in place. The device is installed at the two ends of the outer side of the fork teeth of the bidirectional telescopic pallet fork and adjusted to the proper height, the left contact plate and the right contact plate can move towards the bottom plate side under extrusion of the pallet, feedback of the two in-place switches is triggered, and whether the pallet is in place or not can be detected.

The invention relates to the technical field of intelligent health monitoring, and particularly discloses a multi-modal AI-fused senior non-inductive assessment method and system and electronic device.The method comprises the following steps that in the daily living environment of the senior, original multi-modal data reflecting the physiological and behavior states of the senior are collected in a non-inductive mode through at least two non-contact sensors; and preprocessing the original multi-modal data, and extracting a single-modal health feature vector from the data of each modal by using a preset feature extraction model. According to the invention, non-inductive data acquisition is realized by deploying the non-contact multi-mode sensor in the daily environment of the elderly, the elderly does not need to cooperate deliberately, and the use convenience and acceptability are effectively improved; through preprocessing and feature extraction of multi-modal data, multi-dimensional health features can be mined from visual, audio and radar data, the limitation of single data dimension in the traditional technology is broken through, and comprehensive representation of physiological and behavior states of old people is realized.

The invention relates to the technical field of personnel state monitoring, in particular to a non-contact intelligent monitoring method for a fatigue state of an operator, which comprises the following steps of: a, acquiring a face heat distribution image and a dynamic behavior video stream through a non-contact sensor array; b, extracting facial thermal features based on a multispectral fusion algorithm; c, analyzing behavior characteristics through a space-time attention neural network; d, fusing physiological and behavior characteristics, and outputting a fatigue level; and e, triggering a multi-level linkage early warning mechanism according to the fatigue level. A common direct contact type sensor brings discomfort to operators and affects normal work, manual observation has subjectivity, misjudgment is prone to occurring, and real-time and comprehensive monitoring cannot be achieved. Compared with the prior art, the non-contact physiological feature sensor and the non-contact behavior feature sensor can be used for detecting a worker together, direct contact with the worker is not needed, interference to the working state of the worker is reduced, long-time continuous monitoring can be achieved, and misjudgment is avoided.

The invention discloses a wafer clamping and rotating device. The wafer clamping and rotating device comprises a clamping mechanism and a driving mechanism, the clamping mechanism comprises a side arm and a clamping jaw; the clamping jaw is installed on the side arm through a crumple structure, the crumple structure comprises an installation groove formed in the inner side face of the side arm, a connecting block connected with the clamping jaw is arranged in the installation groove, a gap is formed between the connecting block and the installation groove to form a buffer area, a supporting shaft is connected in the clamping jaw, and a first penetrating hole and a second penetrating hole which are communicated are formed in the connecting block and the side arm. The second penetrating hole is divided into a thick section part and a thin section part, a pressure spring arranged on the supporting shaft in a sleeving mode is arranged in the thick section part, a guide shaft is connected into the connecting block, a through hole is formed in the side arm, the free end of the guide shaft penetrates through the through hole, and a contact sensor is arranged on the outer side face of the side arm. Thus, through the pressure spring and the buffer area, part of clamping impact force transmitted by the clamping jaw can be effectively counteracted, rigid contact force between the clamping jaw and the wafer is converted into flexible buffer force, and breakage caused by direct extrusion of the wafer due to too large clamping force is avoided.

The invention, which relates to the technical field of audio experience, discloses an immersive audio experience-oriented sound sound field orientation system comprising a position sensing module, a sound field modeling module, a characteristic sound wave generation module, an array control module and a space feedback adjustment module. The position and orientation information of a target user in a three-dimensional space is obtained in real time through a non-contact sensor, a real-time acoustic propagation model containing reflection surface distribution and material characteristics is constructed, a multi-channel acoustic signal is generated based on the model, a loudspeaker array is driven to produce sound through a beam control parameter set, and the sound transmission effect is achieved. According to the invention, the spatial focusing of the sound beam in the target direction is realized, the sound production delay and phase difference of each loudspeaker unit are dynamically adjusted based on the direction deviation information of the received sound pressure, and a closed-loop control path is formed. The method is suitable for various scenes such as virtual reality, intelligent cinemas and voice interaction.

The invention discloses a car coupler state detection and execution control circuit and a car coupler automatic picking and hanging system and method, and relates to the technical field of railway vehicle automation control, and the car coupler state detection and execution control circuit comprises a state detection unit which comprises a plurality of non-contact sensors arranged at different detection positions of a car coupler; the safety execution unit comprises a 2oo2 interlocking structure formed by a first relay and a second relay which are connected in series, a through-type Hall current sensor arranged on a main loop between the first relay and the second relay, and a third relay for controlling the extension and retraction directions of an electric push rod; the power supply management unit comprises a 24VDC power supply input terminal, a fuse, a reverse connection protection diode and a surge suppression TVS (Transient Voltage Suppressor) tube; wherein the output end of the state detection unit is connected to the input port of the controller, and the output port of the controller is connected to the control end of the safety execution unit. The safety of the system is improved through a hardware-level redundant architecture, and the reliability of coupler state detection is improved through multi-sensor fusion.

According to the fault early warning system for the wind power booster station provided by the invention, the limitation of traditional single-point monitoring is broken through by fusing the infrared ultrasonic technology and the ultrahigh frequency technology through the non-contact sensor, so that the early fault detection rate is greatly improved; the composite heat dissipation system suppresses the temperature rise of a transformer hot spot based on a dynamic heat management mechanism of a phase change material and a heat pipe, and the energy-saving efficiency is improved; the edge calculation early warning center converts temperature, partial discharge, strain and other multi-source heterogeneous data into a unified health degree index through a weighted fusion algorithm, and in combination with an equipment topology correlation analysis model, the positioning accuracy of a fault source is greatly improved, and the early warning response time delay is greatly reduced.

The utility model relates to the technical field of liquid level sensing, in particular to a non-contact capacitance liquid level sensor which comprises a cavity outer wall and further comprises a first capacitance plate and a second capacitance plate which are arranged on the cavity outer wall, the first capacitance plate and the second capacitance plate are shortened to form interdigitals, and the interdigitals are arranged in the direction perpendicular to the liquid level change direction. When the liquid level in the cavity rises or falls, the dielectric constant of the liquid is different from that of the air, so that the capacitance value between the interdigital electrodes changes. Liquid level measurement can be achieved by measuring capacitance changes and combining the signal processing module to calculate the corresponding relation between the capacitance and the liquid level. The sensor is mounted on the outer wall of the cavity and does not need to be in direct contact with liquid, so that the problems of pollution, corrosion and mechanical wear of a traditional contact sensor are avoided, and the service life and reliability of the sensor are improved. In addition, the device has the advantages of stable measurement, quick response, high precision and the like.

The invention discloses an automatic circuit breaker handcart for a switch cabinet, and belongs to the technical field of circuit breakers, the automatic circuit breaker handcart for the switch cabinet comprises a bottom frame, the bottom frame is movably provided with a circuit breaker handcart, the circuit breaker handcart is provided with a plurality of arc extinguish chambers, and the arc extinguish chambers are provided with moving contacts. A front frame is installed at one end, far away from the circuit breaker handcart, of the bottom frame, an aviation socket located on one side, far away from the circuit breaker handcart, of the front frame is arranged on the bottom frame, a signal lead is installed on the aviation socket, and a pushing assembly connected with the circuit breaker handcart is arranged between the circuit breaker handcart and the front frame. A movable transmission assembly movably connected with the pushing assembly is arranged in the bottom frame, moving assemblies movably connected with the movable transmission assembly are arranged on the two sides of the bottom frame, a camera and a temperature sensor are installed on the top of one side of the front frame, and a third contact sensor is installed on the bottom frame. The device has the advantages of intelligent detection, ordered movement, full contact of moving and static contacts, safety, reliability, convenient operation, simplicity, convenience and practicability.

The utility model relates to the technical field of stamping, in particular to an aluminum alloy decorating part stamping device which comprises a machine body, a rotating disc, a stamping mechanism, a discharging mechanism, a fixed die and a material leaking groove. A butt joint block is welded to the rear end of the fixed die, and an air groove penetrating through the butt joint block and the fixed die is formed in the inner side of the butt joint block; an opening of one side, facing the waste cavity, of the air groove is smaller than that of the other side; a pressurization box fixed to the machine body through a fixing frame is arranged on the rotating disc, a cavity of the pressurization box is communicated with the outside through an external pipe, an electromagnetic valve is arranged in front of a pressurization cavity of the pressurization box, and a contact sensor used in cooperation with the pressurization box is further arranged outside the pressurization box. The pressurizing box is arranged on the rotating disc, meanwhile, an existing mold is upgraded, the butt joint block matched with the pressurizing box is additionally arranged, the gas groove with the width gradually reduced is formed in the butt joint block, gas in the pressurizing box enters the waste cavity through the gas groove, secondary cleaning is conducted on residual waste in the waste cavity, and therefore complete waste discharging is achieved.

The invention discloses a dry pump operation state audio monitoring system, and relates to the technical field of dry pump operation state monitoring. The invention aims to solve the problem of monitoring the running state of a dry pump which is inconvenient to additionally install a contact sensor. The device specifically comprises a characteristic sound spectrum database used for storing audio characteristics in the operation state of the dry pump, a sound collection unit used for collecting vibration sound signals in the operation state of the dry pump, an alarm module used for sending out an equipment fault alarm and a central processing unit, and the sound collection unit is in communication connection with the characteristic sound spectrum database. The sound acquisition unit, the alarm module and the characteristic sound spectrum database are respectively in communication connection with the central processing unit; a pickup element of the sound acquisition unit is one of a contact sensor and a microphone or a mixture of the contact sensor and the microphone. According to the invention, the appropriate sound acquisition unit is adopted for anti-interference monitoring, so that the operation and maintenance personnel can judge the operation state of the equipment more visually, the working efficiency of the operation and maintenance personnel is improved, and the fault diagnosis time is shortened.

The invention discloses a photovoltaic power station operation state monitoring management system and method, and relates to the technical field of power systems and automatic control, and the method comprises the steps that a dual-mode temperature monitoring module is combined with a ceramic packaging contact sensor and a multispectral filtering non-contact sensor, and a correction temperature value is output through adaptive weight fusion; the environment adaptive calibration unit dynamically corrects the drifting of the sensor based on a CNN-BiLSTM model; the edge computing node detects early symptoms of the hot spots in real time and uploads abnormal data preferentially; the multi-protocol gateway can automatically switch communication channels, and is matched with LZW compression and CRC32 verification to guarantee data transmission; the above modules establish cooperative interaction through an industrial Ethernet, an RS485 bus and the like, and are in bidirectional communication with a cloud management platform. The temperature monitoring precision in a severe environment is improved, the hot spot response time is shortened, the communication bottleneck in a remote area is solved, and stable operation of a power station is guaranteed.

The invention discloses a non-contact multi-source sensing fusion pet health assessment system and method. The system comprises a data acquisition module, a central processing module, a communication module, a terminal module and a pet wearing device. Some basic data are collected through the pet wearing device, data are collected through a plurality of non-contact sensors of the collection module, all the collected data are fused and integrated through the central processing module, a preset health calculation formula is input, a pet health score is output, and an owner is helped to know the health state of the pet in time.

The utility model discloses a thrust bearing bush capable of detecting the thickness of an oil film, which relates to the field of bearing oil film thickness monitoring and comprises a thrust bush and a non-contact sensor, a plurality of counter bores are arranged on the bush surface of the thrust bush, and through holes for mounting the non-contact sensor are respectively arranged in the thrust bush corresponding to the counter bores on the bush surface. The non-contact sensor comprises a probe, a sensor body and a signal line, the end face of the probe of the non-contact sensor is located between the tile face of the thrust tile and the bottom face of the counter bore, the sensor body is installed in the through hole, and the counter bore is arranged on the two sides of the symmetry axis of the tile face of the thrust tile in an annular array mode with the center of the outer circle of the thrust tile as the center. And the thrust pads are uniformly distributed along the radial direction by taking the excircle center of the thrust pad as a reference. According to the utility model, more comprehensive oil film thickness data can be obtained, the lubrication state of the whole thrust pad working surface can be accurately reflected, and the monitoring accuracy and reliability are enhanced.

The invention relates to the technical field of commercial kitchen oil fume purification, in particular to a purification system and purification method of a commercial oil fume purification all-in-one machine, and the purification system comprises an electric field monitoring unit, a self-adaptive regulation and control unit and a prediction maintenance unit, an electric field monitoring unit collects electric field intensity data of parallel polar plates through a distributed non-contact sensor array, injects spatial position codes to generate a three-dimensional matrix, and combines a polarization drift feature analysis method to identify a local abnormal region and generate an abnormal feature vector; the self-adaptive regulation and control unit dynamically modulates high-voltage power supply output parameters based on the vector, converges the field intensity of an abnormal area to a safety range, stabilizes an edge electric field synchronously through an edge auxiliary electrode array, and the prediction maintenance unit constructs an oil contamination accumulation prediction model by combining the electric field abnormal accumulation duration and the diffusion trend; and when the risk reaches a threshold value, gradient depressurization cleaning in a low-load period is triggered, the problems of unstable purification efficiency and untimely maintenance are solved, and the operation and maintenance cost is reduced.

The invention provides a real-time reasoning method for physical attributes of an object, and relates to the technical field of data processing, and the method comprises the steps: collecting original sensing data of a target object through a multi-mode non-contact sensor, carrying out the preprocessing of the original sensing data of the target object, obtaining multi-source heterogeneous sensing data, and carrying out the real-time reasoning of the physical attributes of the object; performing time synchronization, space alignment and data cleaning on the multi-source heterogeneous sensing data to obtain pre-processed data, and extracting visual features, geometric features and thermodynamic features associated with physical attributes of an object from the pre-processed data to obtain a multi-dimensional physical feature vector; through collaborative design of multi-mode non-contact perception, data standardization processing, multi-dimensional feature extraction, deep neural network reasoning and database output, real-time inference of physical attributes of an object is realized, and reliable data is provided for intelligent decision control.

A smart system comprising a contact or contactless PPG sensor to output a PPG signal; and an electronic processing system in communication with the PPG sensor to acquire the PPG signal therefrom and analyse the PPG signal in one or both of time and frequency domains to real-time predict transitions between awake and sleep phases of a subject based on an output of the analysis, either wearing the smart wearable system equipped with the contact PPG sensor or remotely monitored by the contactless PPG sensor.

The invention relates to a mental stress assessment method based on a non-contact sensor and HRV data analysis. The method comprises the following steps: acquiring a historical RR interval data set and a target day RR interval data set, and correspondingly generating a plurality of different interval characteristics based on RR interval data; calculating a quality score of the RR interval data; carrying out average calculation on the quality scores of all RR interval data contained in each sleep stage to obtain a stage average value corresponding to each sleep stage label; calculating a stability score value corresponding to each sleep stage based on the average value of each stage, and determining an optimal sleep stage; extracting all target day RR interval data of the optimal sleep stage, and generating a target day HRV value; generating a historical HRV sequence based on the historical RR interval data set; and performing numerical processing on the target day HRV value based on the constructed detrending model and the historical HRV sequence to generate a mental assessment HRV sequence, and generating a mental stress assessment result based on the mental assessment HRV sequence.

To efficiently dispose a power supply device and a non-contact sensor.SOLUTION: A drive device comprises a stator, a wound field rotor around which a coil wire is wound, a non-contact power supply device which is electrically connected between a power source and the wound field rotor and supplies power to the wound field rotor in a non-contact manner, and a non-contact sensor which generates sensor information relating to the wound field rotor. The non-contact power supply device and the non-contact sensor include coils which are wound around a common core member.SELECTED DRAWING: Figure 3

The invention discloses a roof anti-falling anchoring device made of aluminum alloy, which relates to the technical field of falling prevention and comprises a limiting assembly, an anchor point assembly, an anchoring assembly, a positioning assembly, a steel cable and a hook assembly. When a hook support on a hook assembly is close to an anchor point ring, the hook support is manually lifted firstly, so that the hook support enters a first limiting frame and a second limiting frame firstly, then the upper end of a contact sensor makes contact with the inner surface of the first limiting frame, and at the moment, a safety worker controls an anti-disengaging electric push rod to drive a locking support to be lifted; therefore, the temporary locking function is realized. When the locking support is lifted, the locking support drives the anti-disengagement clamping block and the anti-disengagement magnet to slide downwards through the linkage belt, so that the hook baffle is separated from the anti-disengagement magnet, then the hook baffle is manually opened outwards, a notch in the hook support is opened, and the hook is locked. At the moment, the hook support can pass through the periphery of the anchor point ring along the inner surfaces of the first limiting frame and the second limiting frame to achieve the safe switching function.

The invention provides a vital sign prediction and anomaly detection system and method based on a non-contact sensor. The system comprises a non-contact sensor receiving subsystem used for receiving and extracting vital sign data such as respiration and heart rate; the data storage subsystem is used for constructing a database to store multiple types of data; the data preprocessing subsystem is used for extracting key information and adding noise to simulate a real environment; the multi-dimensional feature extraction subsystem is used for generating a feature sequence for model training; the prediction and anomaly detection model subsystem is used for realizing prediction and anomaly detection; and the visual user system is used for pushing health suggestions and abnormal alarm information through a WeChat applet and an AI agent. According to the method, the vital signs can be predicted in real time and the abnormal values can be detected only through a small amount of user data, and compared with a traditional method, the method has higher flexibility, accuracy, real-time performance and privacy and can serve as an effective solution for vital sign prediction and abnormal detection in the field of sensor Internet of Things.