276 results about "Contactless sensor" patented technology

The invention provides a detection method and system for an insulation detection function. Wherein in the operation state of the to-be-detected electrical equipment, the temperature change of the surface of the to-be-detected electrical equipment is monitored in real time through a non-contact sensor, and a dynamic thermogram is formed; according to a temperature fluctuation mode of a preset area in the dynamic thermogram, in combination with an environment temperature compensation algorithm, identifying a potential insulation defect area, and generating a preliminary insulation defect report; for the insulation defect area marked in the preliminary insulation defect report, simulating electromagnetic field distribution conditions of the insulation defect area under different working conditions by adopting an electromagnetic field analysis technology, evaluating the aging degree and damage risk of the insulation material, and obtaining an evaluation result; and integrating the preliminary insulation defect report and the evaluation result, calculating the probability that the insulation defect area develops into an actual fault through a fault prediction model, and outputting a final insulation performance detection report. According to the technical scheme provided by the invention, the operation efficiency and safety of the equipment are improved.

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.

A header height sensor and adjustment system capable of differentiating between the ground and object above the ground. The system is able to differentiate between lodged / downed stalks and the ground. The system includes one or more non-contact sensors, such as Time-of-Flight (ToF) sensor and / or radar sensors. The system may optionally include a contact sensor. The disclosed header height sensor and adjustment system is able to automatically or semi-automatically adjust the height of the header in response to detected objects and terrain in order to maximize yield (e.g., lowering to harvest lodged stalks) and avoid header damage (e.g., raising to avoid debris or contour terrain).

The invention particularly relates to a quartered sleep state monitoring method and a quartered sleep state monitoring system based on a non-contact vibration sensor. The quartered sleep state monitoring method and the quartered sleep state monitoring system are particularly suitable for realizing non-sensitive sleep quality evaluation through an intelligent bed in a family environment. Comprising the following steps that 1, vibration signals of a human body in the sleep process are continuously collected through a non-contact vibration sensor; step 2, preprocessing the vibration signal, including denoising and segmentation processing, to obtain time domain vibration data; step 3, performing frequency domain transformation on the time domain vibration data, and extracting frequency domain features including respiratory rate, heart rate and heart variability parameters; 4, time alignment is carried out on the frequency domain features and sleep staging labels synchronously obtained through a polysomnography, and a training data set is constructed; an XGBoost classification model based on time-frequency domain feature fusion is provided, fundamental frequency and harmonic energy proportions of respiratory signals are extracted through short-time Fourier transform, and quartering classification is achieved in combination with the LF / HF ratio of heart rate variability.

The invention provides an ink-jet method of a Micro OLED, and relates to the technical field of ink-jet printing of Micro OLEDs, the ink-jet method comprises an ink-jet unit and a laser following unit, the ink-jet unit comprises an ink-jet head, an ink-jet platform and an ink-jet control system, the laser following unit comprises a first non-contact sensor fixedly connected with the ink jet head, a second non-contact sensor fixed on the ink jet platform and a laser following control system, and the ink jet platform comprises an operation area and a correction area. Laser follows dynamic calibration and drawn patterns and is transmitted to the ink jet control system to control the ink jet head to jet ink, and the problems that in the prior art, the height of the ink jet head and the wafer target ink jet area is difficult to control, the glue amount precision is insufficient, and glue overflows or is not fully filled are effectively solved.

The present invention is a wireless vehicle tank monitoring system using non-contact fluid level sensors with adjustable sensitivity to measure fluid levels in recreational vehicle holding tanks. A smart device application on a portable computer receives real-time data via Bluetooth Low Energy (BLE) communication. The user-friendly interface displays graphical tank states. The system optimizes power efficiency through deep sleep and selective notification techniques, extending battery life. Sensors' sensitivity adapts to different tank wall thicknesses for accurate readings. The integration of non-contact sensors and power-efficient communication ensures reliability, easy installation, and real-time data transmission. This cost-effective solution effectively manages fluid levels in recreational vehicles.

A non-contact micro-vibration measurement and fault diagnosis method based on dynamic visual signal alignment comprises the steps that firstly, a dynamic visual sensor-event camera is used for collecting event data of vibration of a rotating machine in a non-contact mode, and an event data characterization method is used for converting event streams into event frame sequences which are equal in interval, not overlapped and continuous; then micro-vibration information of each pixel point is extracted from the event frame sequence through a deep neural network, the difference of vibration signals of adjacent pixel points is reduced through a signal alignment method, and contact sensing data is used as a reference for optimizing model performance through a feature clustering method; and finally, performing intelligent fault diagnosis by using the obtained micro-vibration data. According to the invention, the applicability of the non-contact sensor in the fields of vibration monitoring and fault diagnosis of rotating machinery is improved.

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.

A sensor system according to an embodiment includes: a noncontact sensor module arranged on a display module; and a processor configured to drive the sensor module, wherein the sensor module is configured to detect a first coordinate and a second coordinate of a detection target, the second coordinate is detected before the first coordinate is detected, the processor is configured to calculate move information indicating a moving direction of the detection target in the first coordinate based on the first coordinate and the second coordinate detected by the sensor module, and calculate a correction amount in the first coordinate based on the move information when the detection target approaches the sensor module and a distance between the sensor module and the detection target reaches a correction start distance.

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 present invention relates to a fitting arrangement for doors or windows, as well as for lift-and-slide elements, such as lift-and-slide doors or lift-and-slide windows, comprising a faceplate for covering a fitting groove formed in a door or window, and a drive rod guided so as to be translationally displaceable along the faceplate. The drive rod comprises a first section that rests against a surface of the faceplate and a second section that projects beyond one end of the faceplate. The fitting arrangement further comprises a sensor board, coupled at least indirectly to the faceplate, with at least one contactless sensor for detecting the position of the drive rod. The sensor board is located at the end of the faceplate and flanks the second section of the drive rod. The at least one sensor is located on the side of the sensor board facing the second section of the drive rod.

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.

A torque sensor comprises a contact sensor and a non-contact sensor. An electric drive system for a bicycle includes an electric motor with a rotor that can rotate about an axis. An output component is coupled to the electric motor and can rotate about an axis. An input component can rotate about the axis and is concentric with the output component and the rotor. A one-way coupling is arranged between the input component and the output component. The contact sensor is coupled to the output component. The contact sensor is configured to measure a torque applied to the output component by the input component and to provide an input signal. The non-contact sensor is arranged between the output component and a fixed component. The non-contact sensor is configured to provide an output signal proportional to the input signal.

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.

A torque sensor includes a contact sensor and a contactless sensor. An electric drive system for a bicycle includes an electric motor having a rotor rotatable about an axis. An output component is coupled to the electric motor and is rotatable about an axis. An input component is rotatable about the axis and is concentric with the output component and the rotor. A one-way clutch is disposed between the input component and output component. The contact sensor is coupled to the output component. The contact sensor is configured to measure a torque applied to the output component by the input component and provide an input signal. The contactless sensor is disposed between the output component and a fixed component. The contactless sensor is configured to provide an output signal proportional to the input signal

To provide a head-mounted lighting unit that can readily perform ON / OFF operation of a lighting member.SOLUTION: A head-mounted lighting unit includes a switch device 6 for switching between an ON state of supplying power from a battery to a lighting member 3 mounted to a head belt 2 and an OFF state of stopping the supplying power. The switch device 6 includes: a non-contact sensor 31 for detecting an object moving within a detection range 35 in a non-contact manner; and a switching circuit for switching between the ON state and the OFF state for each detection by the non-contact sensor 31. With this configuration, the lighting member 3 can be operated to be turned on and off by moving a hand of a wearer within the detection range 35.SELECTED DRAWING: Figure 4

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.

This application relates to a hygienic clamp with a non-contact sensor. The clamp may also include a first clamp arm, a second clamp arm, and a hinge to movably join the first clamp arm and the second clamp arm. The non-contact sensor can sense whether the clamp is closed by detecting the proximity of one arm of the clamp to its other arm, without requiring the two arms to contact one another. Since the non-contact sensor is not mechanical, no mechanical wear is produced. It is constructed to prevent build-up that can occur with other types of sensors in industries that use clamps in their applications.

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.

A powered door opening mechanism to move an aircraft lavatory door from the closed position to the open position is provided, which includes a non-contact sensor inside and outside the lavatory to detect part of a human body, an engaged member in the door and extending to an upper side of the door, an engaging member at a section on the upper side of the door inside the lavatory, engageable with the engaged member from a side of the door from the closed position of the door to the open position of the door, and having a shape that is open in a direction away from the door, and an actuator to move the engaging member in a direction away from the entrance in response to a detection signal from the non-contact sensor and move the door from the closed position to the open position through the engaged member.

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 a torque sensor system and drive system for an electric bicycle and a method of using the same. The torque sensor comprises a contact sensor and a non-contact sensor. An electric drive system for a bicycle includes a motor having a rotor rotatable about an axis. The output member is coupled to the electric motor and is rotatable about an axis. The input member is rotatable about an axis and concentric with the output member and the rotor. A one-way clutch is disposed between the input member and the output member. The contact sensor is coupled to the output member. The touch sensor is configured to measure a torque applied by the input member to the output member and to provide an input signal. The non-contact sensor is disposed between the output member and the fixed member. The non-contact sensor is configured to provide an output signal proportional to the input signal.

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 discloses a pan-tilt, a pan-tilt control method and device and a storage medium. The pan-tilt comprises a first assembly; a second component mechanically coupled to the first component; the non-contact sensor is arranged on the first assembly and / or the second assembly; wherein the non-contact sensor is used for outputting an induction signal, so that when the relative position of the first assembly and the second assembly is changed, the holder can execute corresponding control operation according to the induction signal; the control operation comprises any one of the following items: power-on operation; and performing power-off operation. According to the holder, the user experience of the holder in the using process can be improved.

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.

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

A contactless sensor includes a cardiac beamformer, a wireless-to-seismocardiogram translator, and an automatic labeler. The cardiac beamformer determines at least one beam for receiving wireless signals generated based on movement of a heart. The at least one beam is generated based on phase information and a heart signal extracted from a time-domain signal generated from one or more receiver elements. The wireless-to-seismocardiogram translator implements a convolutional neural network to transform time-series data detected from the at least one beam to a seismocardiogram. The automatic labeler identifies and labels one or more micro-cardiac events in the time-series data. The cardiac beamformer may be considered an optional feature in one or more implementations.

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.