776 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.

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 relates to the technical field of sensors, in particular to a transformer dynamic magnetic bias current detection method and device based on magnetoelectric coupling sensing, and the detection device composed of a magnetoelectric coupling sensing element, an exciting coil and a rear-end processing circuit is used for measuring direct current magnetic bias current. The working principle of the magnetoelectric coupling sensing element is based on stress coupling between the magnetostrictive material and the piezoelectric material, then an output signal is generated on the piezoelectric material, and the sensitivity is remarkably improved by using the resonance amplification effect of the magnetoelectric coupling sensing element. Non-contact current detection can be realized by detecting the magnetic field generated by the magnetic bias current of the neutral point grounding wire of the transformer, and direct physical contact with power equipment is not needed, so that the safety of the system is improved, and the problem of high installation difficulty of a contact sensor is avoided; high-sensitivity, high-precision, anti-interference and real-time transformer direct-current magnetic bias current monitoring is achieved, and the transformer direct-current magnetic bias current monitoring device has the advantages of being easy to install and deploy and small in size.

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 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.

A system and a method for capturing a movement pattern of a person. The method comprises capturing a plurality of images of the person executing a movement pattern by means of a non-contact sensor, the plurality of images representing the movements of the body elements of the person, generating at least one skeleton model having limb positions for at least some of the plurality of images, and calculating the movement pattern from the movements of the body elements of the person by comparing changes in the limb positions in the at least one skeleton model generated.

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 prefabricated temperature measurement system for a sleeve side of an all-insulation ring main unit. The prefabricated temperature measurement system comprises a wireless three-phase temperature sensor, a host module, an Internet of Things gateway and an in-situ monitoring terminal. A sensor probe is directly arranged in an insulating gap between a cable head and a sleeve, is made of a high-temperature-resistant insulating material and is internally provided with an electromagnetic shielding layer, and 2.4 GHz wireless communication is supported. A temperature rise rate analysis algorithm is built in the host module, an early warning mechanism is triggered when the slope k is calculated to be larger than or equal to 0.5 DEG C / h by adopting a least square method, and an environment temperature compensation factor is introduced to correct errors. A factory pre-integration + plug-and-play mode is innovatively adopted, rapid deployment is realized through a DIN guide rail and an anti-misplug aviation plug, and a dual-mode power supply system is matched at the current fault; the low-frequency sampling of the storage battery is automatically switched at 20A, and the wake-up period is dynamically adjusted through PWM. According to the scheme, the problems of large delay of traditional infrared temperature measurement, complex installation of a contact sensor and failure of small load are solved.

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 present invention relates to a smart mattress that primarily uses non-contact sensors to measure the user's physiological data. Through a non-contact sensing method, it is capable of detecting REM sleep stages, monitoring heart rhythm, and measuring vital information such as respiration, as well as recording and storing physiological data such as bed-leaving movements and sleeping position. By connecting to a mobile device or a computer via a control box, all the recorded information can be displayed as a screen output or uploaded to a cloud database for storage. This enables long-term measurement of the user's physiological data or real-time monitoring, thus contributing to targeted patient care.

The utility model relates to the technical field of hot air blowing, in particular to hot air blowing equipment for coating, which comprises a hot air generating component, a shell, an induction component and a power supply control module, the shell is connected with the hot air generating component, the induction component detects the taking-up and putting-down states of the shell, and the power supply control module is respectively connected with the induction component and the hot air generating component. The power control module controls on-off of the hot air generation assembly according to signals of the induction assembly. The shell protects the hot air generating assembly, the hot air generating assembly is used for generating hot air, the sensing assembly adopts a gravity sensing or contact type sensor and can detect the taking-up and putting-down states of equipment, and the power supply control module controls the hot air generating assembly to be powered on and powered off according to signals of the sensing assembly. According to the intelligent induction type automatic power-on and power-off wrapping hot air blowing equipment, the convenience and safety of the wrapping process can be remarkably improved, the operation difficulty and the safety risk of staff are reduced, and wide application prospects are achieved.

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 utility model particularly relates to a comprehensive detection platform for photovoltaic frame detection and an automatic detection line thereof, and the comprehensive detection platform comprises a pedestal which is used for providing structural support; the detection transmission line is arranged on the base and has a transmission function; a visual detection station, a length detection station and a bending and twisting degree detection station are arranged along the transmission path of the detection transmission line; the visual detection station comprises a first jacking mechanism, a turnover mechanism and a visual detection machine position, the first jacking mechanism and the turnover mechanism are arranged on the two sides of the detection transmission line, and the visual detection machine position is arranged opposite to the transmission line; the length detection station comprises a displacement sensor and a second jacking mechanism; and the bending and twisting degree detection station comprises a contact sensor and a third jacking mechanism. One of the main conception of the utility model is that visual detection, length detection and bending and twisting degree detection are integrated on one detection platform, so that the detection comprehensiveness and the detection efficiency are improved.

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.

Systems, devices, and methods described herein indirectly monitor a state of fluid flow by monitoring a state of connection of a medication delivery device. The system includes an enclosure, a contact sensor, and a controller. The enclosure can attach around at least a portion of an outer surface of the medication delivery device to enclose at least a portion of the outer surface therein. The contact sensor and controller are enclosed within the enclosure. The contact sensor can monitor a state of electrical connection. The controller is in communication with the contact sensor and can relay the state of electrical connection. The state of connection of the contact sensor corresponds to the state of connection of the medication delivery device.

The invention discloses an efficient edge chamfering device and method for edges of a square stone plate, and belongs to the technical field of stone machining. The device comprises a machine table, a stone plate fixing assembly and a chamfering assembly. The fixing assembly triggers an air cylinder to conduct synchronous clamping through a contact sensor to achieve rapid positioning. The angle adjusting mechanism is linked with a rotating hand wheel through a worm gear reducer, and the inclination angle is accurately controlled to be 0.1 degree; the chamfering assembly is integrated with a binocular 3D vision camera to generate a three-dimensional model, and the self-adaptive grinding unit is driven to dynamically adjust the path and the feeding amount in combination with feedback of a pressure sensor. The controller realizes full-closed-loop control, and ensures that the edge error is small and the surface is smooth. And compared with a traditional process, the clamping time is shortened by 60%, the energy consumption is reduced by 30%, compatible machining of stone plates of multiple specifications is supported, the yield is high, and the method is suitable for high-precision machining of the stone.

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 discloses a bearing inner and outer ring concentricity measuring instrument and a use method, the bearing inner and outer ring concentricity measuring instrument comprises a workbench, the top of the workbench is provided with a circular slide rail, the circular slide rail is slidably provided with a sliding platform, the sliding platform is provided with a support frame, and the support frame is horizontally provided with a transverse lead screw module; the sliding end of the transverse lead screw module is connected with a bidirectional lead screw module, and the two sliding ends of the bidirectional lead screw module are each provided with a liftable detection contact sensor, S1, a bearing to be measured is placed in the center of a clamping table, and the bearing is clamped; s2, a servo motor A, a servo motor B and a lifting air cylinder are driven, so that the two detection contact sensors are attached to the outer ring surface and the inner ring surface of the bearing respectively; by designing the adjustable three-jaw fixing clamp, the device can be suitable for fixing bearings of different sizes, and by designing the detection contact sensor capable of being adjusted in multiple dimensions, the device can be suitable for measuring the concentricity of inner and outer rings of the bearings of different sizes in a large range.

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.