1686 results about "Laser sensor" patented technology

The invention discloses a roadway deformation monitoring device based on a millimeter wave radar. The roadway deformation monitoring device comprises a main shell, the millimeter wave radar, a laser sensor, a PCBA (Printed Circuit Board Assembly) and a bubble level, and an integrated multi-modal data fusion analysis module, a dynamic measurement range intelligent adjustment module, a real-time deformation prediction and control module and a self-calibration and fault diagnosis module. The multi-modal fusion system fuses radar and laser data through a Kalman filtering algorithm, and full-scale high-precision monitoring is realized by using median filtering, Gaussian fitting preprocessing and dynamic weight distribution; the dynamic range measurement module intelligently switches measurement and frequency sweeping ranges based on a decision tree algorithm according to mining progress, geological conditions and distance fluctuation coefficients; the real-time prediction module adopts an ARIMA model to predict the deformation in advance, and automatically adjusts the scanning angle and the acquisition frequency; the self-calibration module uses a high-precision reflecting plate to correct errors everyday; the system supports 5G communication and remote control, has the advantages of high precision, self-adaption and high reliability, and is suitable for long-term deformation monitoring of mine roadways.

The invention relates to the technical field of semiconductor manufacturing, in particular to an accurate detection method and system for a flat-edge sheet wafer placement rotary chuck, and the method comprises the steps: when a wafer is placed on the rotary chuck, scanning the lap joint condition of a wafer edge and a chuck contact area through a laser sensor, and obtaining the real-time distribution data of an edge lap joint sheet; flat edge position information is extracted from the edge lap joint distribution data, an image matching algorithm is adopted to compare a preset orientation reference, and a specific angle value of orientation deviation is determined; according to the orientation deviation angle value and the edge lapping piece distribution data, the rotating speed and the angle of the rotating chuck are adjusted through a cooperative control algorithm, and a final positioning result of the wafer on the chuck is obtained; after a final positioning result is obtained, the in-place state of the wafer is classified and judged through a deep learning model, and whether the residual deviation or wafer lapping phenomenon exists or not is determined; and extracting abnormal data from a classification judgment result, and adjusting collaborative parameters of carrying and placing according to the abnormal data to obtain an optimized process control scheme.

The invention relates to the technical field of motor shaft size detection, in particular to motor shaft size detection equipment which comprises a detection table, a fixing mechanism, a length detection mechanism, a diameter detection mechanism and a cleaning mechanism. The length detection mechanism comprises a top plate, a detection plate, a first laser distance measuring sensor and a moving assembly, the cleaning mechanism comprises a transverse plate, an electromagnet, a sponge eraser, a telescopic assembly, a rotating assembly and a transmission assembly, and the diameter detection mechanism comprises a sliding frame, a sliding assembly and two second laser sensors. The length of the motor shaft can be detected, the diameter of the motor shaft can be obtained by arranging the two second laser sensors, the length and the diameter of the motor shaft can be synchronously detected by using one detection device, and the size detection efficiency of the motor shaft can be improved.

The invention proposes an underwater target intelligent recognition system based on multi-sensor fusion, and relates to the technical field of underwater target recognition, and the system comprises an underwater robot which is provided with an optical sensor, an acoustic sensor, a three-dimensional laser sensor, and a water quality environment sensor; the data acquisition module is used for synchronously acquiring original multi-modal data and water quality parameters from the underwater robot; the data preprocessing module is used for generating preprocessed multi-modal data; the multi-modal feature fusion module is used for extracting each modal feature from the preprocessed multi-modal data and generating a fusion feature; the target recognition and positioning module is used for processing the fusion features by adopting a target detection network and outputting the category, the position and the confidence of the underwater target; and the intelligent analysis output module is used for comprehensively analyzing the information of the underwater target and generating an analysis result and visual data. According to the invention, the limitation of a single sensor can be overcome, and the underwater target can be accurately and stably identified by combining an intelligent algorithm.

The invention relates to the technical field of fire coal control, and discloses a thermal power plant fly ash floating black online detection control method and system, and the method comprises the steps: 1, employing microwave, infrared and laser sensors for cooperative work, detecting carbon dielectric characteristics through microwave dust interference resistance, identifying thermal radiation difference through infrared, and analyzing particle distribution through laser; 2, on the basis of the detection requirements in the step 1, triple protection of air curtain barrier, ultrasonic cleaning and hydrophobic coating is designed, dust condensation is blocked, and it is ensured that the light transmittance of the sensor is larger than 90%; the invention provides a multi-mode sensing fusion-anti-interference current stabilization-closed loop optimization full-link solution for the industrial problem of signal distortion caused by optical window dew formation and dust deposition, airflow disturbance and environmental interference in fly ash floating black online detection. The light transmittance of the optical window is greater than 93% by combining triple protection of air curtain barrier, ultrasonic cavitation stripping and nano hydrophobic coating.

The invention discloses a cable eccentricity online monitoring method based on multi-point laser ranging, and relates to the technical field of cable manufacturing and detection, and the method comprises the following steps: twelve laser displacement sensors are uniformly arranged at the periphery of a cable core to be detected, the sensors are arranged at fixed intervals of 30 degrees, and a closed annular monitoring array is formed; the method is used for synchronously acquiring radial distance data from the surface of the cable core to the inner wall of the insulating layer at each measuring point. Full-circumferential real-time monitoring is achieved through the high-density laser sensor array, the measurement precision is guaranteed through multi-algorithm fusion and temperature compensation, a closed-loop feedback control mechanism is formed in combination with production equipment, the problems of eccentricity detection blind areas, error interference and manual lag are effectively solved, and the quality consistency and production efficiency of cable manufacturing are improved.

A servomotor cylinder inner wall scratch robot self-adaptive additive and subtractive material repairing method based on three-dimensional measurement is characterized in that a six-axis mechanical arm is integrated with a line laser sensor and milling, laser cladding and constant-force grinding and polishing tools, and automatic repairing is achieved. A regular groove body is milled through a slicing method and a rectangular-ambulatory-plane strategy; a workpiece coordinate system is built at the bottom of the groove, a bow-shaped layered alternate path is adopted for filling materials, and the laser power and the powder feeding rate are adjusted by measuring, matching and correcting the path according to the characteristics of the groove; and finally, a surplus height boundary is scanned and extracted, a rough grinding path is generated with the scratch trend as the benchmark, fine polishing is conducted through a reciprocating zigzag strategy, parameters are dynamically adjusted in combination with closed-loop feedback, and smooth transition between a cladding layer and the original surface is achieved. The method solves the problems of long construction period and low precision of traditional repair, integrates multiple processes and high-precision measurement, improves the repair efficiency and quality, and is suitable for on-site rapid maintenance of hydroelectric equipment.

The invention belongs to the technical field of insulator dip-coating equipment, and discloses a suspension insulator dip-coating device which is characterized in that a workpiece loading and unloading assembly and a trough moving assembly electrically slide on a ground rail, and at least two dip-coating machine head assemblies which are sequentially arranged in the length direction of the ground rail are arranged between a workpiece height measuring assembly and the trough moving assembly; the workpiece loading and unloading assembly is provided with at least two workpiece chucks arranged in the width direction of the ground rail. The dip-coating machine head assembly is provided with at least two electric clamping mechanisms arranged in the width direction of the ground rail. The lower end of each workpiece chuck is connected with a chuck jacking mechanism; a first ranging laser sensor is arranged on one side of each workpiece chuck; the workpiece height measuring assembly is provided with at least two second distance measuring laser sensors arranged in the width direction of the ground rail. According to the insulator dip-coating machine, alternate hanging of a plurality of insulators on different dip-coating machine head assemblies and alternate coating of the different dip-coating machine head assemblies in the trough moving assembly are conveniently achieved, and the production efficiency is improved.

The invention provides an anti-falling detection unit, a photovoltaic panel cleaning robot and an anti-falling detection method.The anti-falling detection unit comprises a substrate, an ultrasonic sensor and at least one laser sensor, the ultrasonic sensor is arranged on the substrate, and each laser sensor is arranged on the substrate; the at least one laser sensor and the ultrasonic sensor are arranged at intervals in the first direction. According to the anti-falling detection unit, the ultrasonic sensor and the laser sensor are used at the same time, the ultrasonic detection mode and the light wave detection mode are combined, comprehensive detection of the edge and the gap of the photovoltaic panel is achieved, the accuracy and the reliability of signals are improved, the problem of false alarm possibly caused by a single sensor is effectively avoided, and the detection efficiency is improved. The photovoltaic panel cleaning robot is simple in structure and convenient to operate, work interruption caused by signal abnormity can be reduced, the photovoltaic panel cleaning robot can be prevented from falling off and can cross gaps between different photovoltaic panels to complete cleaning work of the multiple photovoltaic panels, and the work efficiency of the photovoltaic panel cleaning robot is improved.

A quadruped robot with multimodal capabilities and embodied large-scale models for use in a 5G nuclear power plant, characterized in that it comprises: a control module, a power module, a robot arm module, a power supply module, a sensor module, a heat sink, an audio module and a housing structure, wherein the control module, the power module, the robot arm module, the power supply module, the sensor module, the heat sink and the audio module are mounted on the housing structure, wherein the control module is respectively connected to the individual modules, iethe power module, the robot arm module, the power supply module, the sensor module, the heat sink and the audio module to control and communicate with the robot, wherein the sensor module comprises a depth camera, a laser sensor, a mobile phone recognition device, an infrared sensor, an ultrasonic sensor and a radiation dose chip, wherein the power module consists of a motor and an electronic speed controller and is thus responsible for the movement of the robot, wherein the robot arm module comprises a motor and a robot arm controller as well as an integrated NFC module on the robot arm, and wherein the power supply module comprises a battery, a power supply manager and a power supply display screen, while the audio module provides remote voice interaction.

A laser beam scanning system comprises a lidar system in an aircraft and a controller. The lidar system is configured to emit a laser beam into an atmosphere during flight of the aircraft; receive backscatter light generated in response to emitting the laser beam; and generate backscatter data using the backscatter light. The controller is configured to control the lidar system to move the laser beam to scan an area using a pattern that is based on a sequence of locations in the pattern being nearest to a center of the area. The controller is configured to control the lidar system to generate measurements of the area using the backscatter data generated from scanning the area.

The invention relates to a method and device for measuring pitch deviation based on a line laser sensor, and the method comprises the following steps: S1, calibrating the position of the line laser sensor, and obtaining the coordinate value of a coordinate system of the line laser sensor in a measurement coordinate system; s2, installing a tested gear; s3, adjusting the relative position of the line laser sensor and the measured gear; selecting a measured position in the tooth surface area of the gear teeth of the measured gear, adjusting the position of the line laser sensor, and recording the sum of the offset of the adjusted line laser sensor relative to the center of the measured gear along the x axis and the y axis in the effective measurement range of the line laser sensor at the measured position; s4, performing zero returning operation on the angle sensor of the rotating shaft of the tested gear; and S5, controlling the detected gear to rotate along the center line of the detected gear. According to the method and the device, the pitch deviation can be measured in a non-contact mode, excessive calibration and leveling are not needed before detection, and the measurement efficiency and the measurement precision are both improved.

The invention relates to an automatic press-fitting system for a rotor and a spline shaft, which is characterized in that a laser sensor is used for detecting the reflected light intensity difference of a tooth crest and a tooth groove, and a PLC (Programmable Logic Controller) calculates the angular deviation of the spline shaft in real time based on a difference signal and generates a rotation instruction; after receiving the instruction, the servo motor drives the spline shaft to adjust at a certain increment angle; the suction cup tool sucks the rotor end face through a vacuum suction cup and moves to the position coaxial with the spline shaft; and the servo press drives the rotor to press with constant pressure, the PLC synchronously analyzes the press-in force and displacement, when the displacement reaches a preset range, it is judged that meshing succeeds, and when the displacement does not reach the preset range, it is judged that tooth crest interference occurs, and a reverse rotation correction process is triggered. The system can realize high-precision angle detection and dynamic correction, improves the one-time success rate of engagement of the spline shaft and the rotor, is suitable for precision assembly scenes such as a new energy automobile electric drive system and an industrial speed reducer, effectively reduces the manual intervention cost, and improves the production takt time stability.

The invention discloses a novel device and method for intelligently disassembling a waste photovoltaic silicon cell panel. The device comprises two layers of transmission rollers and a conveying belt penetrating through the two layers of transmission rollers. The main control board is integrated with a fuzzy controller and a PID (Proportion Integration Differentiation) controller, a hierarchical decision algorithm and a BP (Back Propagation) neural network are deployed on the main control board, the PID controller is connected with the fuzzy controller, and the BP neural network is used for dynamically adjusting PID parameters of the PID controller; the support is fixedly provided with a six-axis servo motor, a back plate collecting bin, an air cooling fan and a copper solder strip absorbing device, the six-axis servo motor is fixedly connected with a vacuum suction cup array, the air cooling fan is fixedly provided with an infrared imager, and the support is provided with a double-layer heat cutter head. A resistance heating module and an electromagnetic induction heating module are nested on the outer surface of the double-layer hot cutter head, and a pressure sensor, a laser sensor and a temperature sensor which are fixedly connected with the main control board are fixedly arranged on the outer surface of the double-layer hot cutter head. According to the invention, the waste photovoltaic silicon cell panel can be intelligently and accurately segmented, the dependence on manpower is reduced, and high-quality recovery of the silicon cell panel is realized.

The invention relates to the technical field of robot positioning, in particular to a BIM (Building Information Modeling)-based mobile robot positioning method, which comprises the following steps of: S1, determining an initial pose of a mobile robot in a building room at an initial moment; s2, obtaining a BIM generation type point cloud map of the building according to the three-dimensional BIM model of the building; s3, segmenting the point cloud data of the BIM generated point cloud map to obtain a plurality of voxels with the same size, recording a point cloud set in each voxel as a point cloud set X, and calculating a point cloud number mean value q and a covariance matrix C in the point cloud set X; s4, collecting an indoor LiDAR point cloud data set of the building at the current moment by using a laser sensor on the mobile robot, and carrying out downsampling processing on the LiDAR point cloud data set to obtain a downsampling point cloud set; and S5, according to the initial pose of the mobile robot, carrying out point cloud matching on the descending sampling point cloud set and the BIM generation type point cloud map through a 3D-NDT algorithm to obtain an optimal pose transformation parameter P of the descending sampling point cloud set relative to the BIM generation type point cloud map, and according to the initial pose and the optimal pose transformation parameter P, carrying out point cloud matching on the descending sampling point cloud set and the BIM generation type point cloud map. And calculating to obtain the indoor pose of the mobile robot in the building at the current moment. According to the positioning method, the mobile robot can be quickly and accurately positioned.

The invention discloses a methane laser sensor device which comprises a laser device, the laser device comprises a laser emitting unit and a sealing cap, a closed cavity is formed between the laser emitting unit and the sealing cap, and the closed cavity is filled with methane gas with preset concentration; laser emitted by the laser emitting unit is emitted after passing through methane gas in the closed chamber; the first photoelectric sensor receives laser emitted by the laser and outputs a first electric signal; the control module acquires a first electric signal output by the first photoelectric sensor; according to the first electric signal, the position offset of the methane absorption peak in a laser wave band emitted by the laser is determined or the range of driving current output to the laser is increased, and then the position offset of the methane absorption peak is calculated; driving current output to the laser is adjusted according to the position offset, so that the methane absorption peak is located in the central wave band of laser emitted by the laser. The detection failure of the laser methane sensor is avoided, and the detection precision of the laser methane sensor is improved.

The invention relates to the technical field of image processing, and discloses an optical image noise reduction method and system of a composite imaging assembly. The method comprises the following steps: carrying out geometric correction on visible light, infrared and laser sensor data through a multi-sensor time synchronization mechanism to obtain a noise coupling matrix; generating annular and checkerboard type mask modes based on the noise coupling matrix; performing cross-band feature interaction through the conditional mask convolution block to obtain a multi-scale dense connection feature map; a double-blind-spot self-supervised learning algorithm is adopted to optimize cross-band coordination loss, and a noise reduction prediction result is obtained; and finally, edge protection processing is carried out through a block-based Wiener filter, and a final noise reduction image is obtained. The problem of noise reduction failure caused by multi-sensor noise coupling and pixel strong correlation in the composite imaging assembly is solved, and the imaging quality and target recognition precision of the composite imaging assembly in a complex environment are improved.

Disclosed according to embodiments are a point cloud data transmission method, a point cloud data transmission device, a point cloud data reception method, and a point cloud data reception device. The point cloud data transmission method according to embodiments may comprise the steps of: acquiring point cloud data including points through LiDAR equipment provided with laser sensors; encoding the point cloud data; and transmitting signaling data and the encoded point cloud data.

The invention discloses a laser sensor welding seam tracking method, and relates to the technical field of welding seam tracking, and the method comprises the following steps: S1, point position adjustment: enabling the measurement range of a laser ranging module to cover a to-be-measured welding seam area by adjusting the point position of a welding robot; and S2, measuring the Z-direction distance of the welding seam, emitting a laser pulse through a laser ranging module, receiving light reflected from the surface of the welding seam, and calculating the Z-direction distance of the welding seam based on the round-trip time of the laser pulse. A two-dimensional contour image of a welding seam is converted into a three-dimensional welding seam contour model, through an image processing and pattern recognition algorithm, the specific position and shape of the welding seam are extracted to accurately recognize the welding seam, high-precision positioning and dynamic tracking of the welding seam are achieved, it is ensured that a welding seam path is located in an optimal measurement area all the time, and the leakage detection risk is reduced.

The invention relates to the technical field of lithium battery processing, in particular to a semi-solid lithium ion battery core lamination correction device which comprises a rack, a pole piece correction mechanism, a negative pressure adsorption mechanism and a manipulator. During working, the manipulator places a pole piece on the correction platform, and the sensor detects the position deviation of the pole piece; then, a first alignment module and a second alignment module of the pole piece correction mechanism alternately move in the diagonal direction of the correction platform, force is sequentially applied to the two adjacent sides of the pole piece, and the pole piece is gradually corrected to the reference position. After correction, the surface state of the pole piece is detected through a laser sensor or a CCD, and if warping exists, the negative pressure adsorption mechanism applies uniform adsorption force through the negative pressure holes in the correction platform, so that the pole piece is flatly attached to the table top. According to the device, position correction and surface leveling are carried out step by step, action interference is prevented, the control precision and reliability are improved, meanwhile, metal scraps on the surfaces of pole pieces can be removed through negative pressure adsorption, the uniformity of the internal structure of a laminated battery cell is effectively improved, and the performance and the service life of the battery are improved.

The invention discloses a method for detecting gluing defects and a storage medium thereof, and relates to the technical field of gluing detection.The method comprises the following steps that S10, a line laser sensor scans a gluing workpiece to obtain a gluing workpiece point cloud, and scans an unglued standard workpiece to obtain a standard template workpiece point cloud; s20, fitting to obtain a reference plane of a workpiece point cloud of a gluing workpiece point cloud standard template, and intercepting a gluing to-be-detected area point cloud and a template to-be-detected area point cloud; s30, point cloud registration is carried out on the point cloud of the gluing to-be-detected area and the point cloud of the template to-be-detected area; s40, performing point distance threshold judgment on the point cloud of the to-be-detected gluing area after registration, and performing separation to obtain a pure colloid point cloud; and S50, judging that the point cloud of the pure colloid in the region is unqualified according to the fact that the cross section width and the cross section area of the point cloud of the pure colloid are smaller than a preset threshold value. According to the invention, the gluing defect can be detected more accurately, and the efficiency is high.

The invention discloses a magnesia carbon brick automatic detection method based on a laser sensor, and the method comprises the following steps: A1, carrying out the multi-angle scanning of the surface of a magnesia carbon brick through a line laser scanner, and generating high-precision three-dimensional point cloud data; a2, inhibiting graphite reflection interference on the surface of the magnesia carbon brick by adopting a polarization filtering system, and compensating a temperature drift error in real time by fusing an infrared thermometer; and step A3, preprocessing the point cloud data through GPU accelerated parallel computing. The invention relates to the technical field of magnesia carbon brick detection. According to the magnesia carbon brick automatic detection method based on the laser sensor, a polarization extinction technology and a multi-source interference compensation mechanism are fused, the problem of high-reflection surface data acquisition distortion is solved, the point cloud integrity is ensured, interference factors such as production line vibration and dust are actively inhibited, and the detection stability is ensured.

The invention relates to the technical field of path planning, and discloses a multi-sensor dynamic path planning method and system for a teaching-free welding robot of a large iron tower component, and the method comprises the steps: collecting multi-sensor synchronous data through a laser sensor, a visual sensor and an arc sensor, and solving segmented calibration parameters; calculating three-dimensional position data of the welding seam by combining the segmented calibration parameters and the synchronous data of the multiple sensors; performing error compensation on the three-dimensional position data of the welding seam at the segmented switching point to obtain a welding seam track position; according to the method, error prediction and real-time correction are carried out at the segmented switching points, accumulated positioning deviation is effectively restrained, high-precision teaching-free welding of the long-distance welding seam of the large iron tower component is achieved, and the welding quality of the long-distance welding seam of the large iron tower component is improved. The technical problems that a traditional method is low in precision and poor in efficiency are solved.

The invention relates to the technical field of industrial measurement, and discloses a cylinder inner wall detection method and system based on a standard jig. The method comprises the following steps: acquiring scanning point cloud data of a standard circular tube jig; a radial deviation sequence is calculated based on the known inner diameter, cosine function fitting is carried out, and an eccentric parameter is calculated to carry out XY-axis iterative correction; calculating a laser inclination angle based on the corrected jig point cloud; obtaining the mixed point cloud, and segmenting the mixed point cloud into a jig point cloud set and a workpiece point cloud set based on the radial distance; calculating a mapping coefficient and performing coordinate conversion on the workpiece point cloud; and performing circular ring fitting by using a least square algorithm to output an inner diameter detection result. The problem of an inner wall imaging blind area is solved by obliquely installing the line laser sensor, and relative measurement is achieved through the standard jig to eliminate system errors.

Exemplary embodiments of the present disclosure are directed towards a method for detecting and identifying container number in real-time. Monitoring vehicle carrying containers and triggering first camera, second camera, third camera, fourth camera, fifth camera, and laser sensors to capture container views by pre-processing module. Transmitting containers image data to computing device by the pre-processing module. Detecting container number region in container image frames by visual object detection module. Cropping container number region by visual object detection module. Applying two-dimensional Fast Fourier Transform on cropped container number region. Segmenting each character situated in container number region by segmentation and character classification module. Classifying each character situated in container number region by segmentation and character classification module. Arranging characters in order based on relative positions of characters to obtain container number information by segmentation and character classification module. Aggregating container image frames and generating container number by post-processing module.

The invention relates to the technical field of welding robot systems. An automatic welding robot system suitable for different industries comprises a welding seam recognition module used for recognizing a welding seam, a welding path point extraction module used for extracting welding path points, a path optimization module used for optimizing a welding path and a path optimization module used for obtaining three-dimensional contour data of the welding seam, and processing the three-dimensional contour data, extracting the shape and position change parameters of the welding seam, fitting and smoothing the shape and position change parameters of the welding seam based on the three-dimensional contour data, extracting a welding path, and controlling a welding gun of the welding robot to move along the optimal path. According to the welding seam recognition module, a laser sensor is used for obtaining three-dimensional contour data of a welding seam, median filtering and Gaussian filtering are sequentially carried out, noise interference is effectively removed, then the edge of the welding seam is accurately extracted through coordinate transformation and a Canny algorithm, and the shape and position change of the welding seam are determined.

A turning control method for a D-shaped robot based on an obstacle contour includes: Step S1: extracting, by the D-shaped robot, a linear contour of an obstacle in front of the D-shaped robot using a line laser sensor, and calculating a rotation angle for turning a side edge of a head of the D-shaped robot to be parallel to the linear contour based on the linear contour; Step S2: calculating an edge distance to be adjusted for the head before turning based on the rotation angle and a body size parameter of the D-shaped robot; and Step S3: adjusting a position of the D-shaped robot based on the edge distance, and making a turn based on the rotation angle until the side edge of the head is parallel to the linear contour.

The invention belongs to the technical field of laser sensing metering equipment, and discloses a degree-of-freedom pose adjustment laser sensor fixing plate which comprises a laser sensor and further comprises a multi-axis position adjustment mechanism connected with the laser sensor and used for adjusting and controlling the spatial position of the laser sensor; the gas guide sleeve is sleeved on the periphery of the heat dissipation opening on at least one side of the laser sensor; and the rotary impeller is rotatably arranged in the air guide sleeve. Airflow guided into the air guide sleeve through the air guide channel drives the rotating impeller to rotate, the impeller rotates to blow the airflow to the heat dissipation opening, uniform and efficient heat dissipation is achieved, meanwhile, the air inlet end of the air guide channel adsorbs dust-containing air towards the peripheral side of the detection end, clean airflow is formed after filtering, and the clean airflow is blown to the heat dissipation opening in a directional mode. Dust at the detection end is removed through negative pressure adsorption, a dust suction path is physically isolated from a heat dissipation airflow path, and finally the synergistic effect of improving the heat dissipation efficiency and optimizing the dustproof performance is achieved.

The invention relates to the technical field of weak signal conditioning circuits, and discloses a multi-light-source spurious noise suppression circuit based on a laser sensor and a signal conditioning method, and the circuit comprises a photoelectric conversion module which is used for converting a received optical signal into a current signal; the transimpedance conversion module is connected with the photoelectric conversion module, converts the current signal into a first voltage signal and suppresses common-mode noise; the first-stage amplification module is used for carrying out linear amplification on the first voltage signal and outputting a second voltage signal; the programmable filtering module is used for carrying out high-frequency noise suppression on the second voltage signal; the reverse phase adjusting module is used for adjusting the phase and the amplitude of the filtered signal so as to adapt to a post-stage load; and the feedback control module analyzes the frequency spectrum of the output signal in real time and dynamically adjusts the cut-off frequency of the programmable filtering module. The invention aims to solve the problems that in the prior art, a laser sensor circuit is poor in anti-interference performance in a multi-light-source environment, and measurement is inaccurate due to spurious noise.

The utility model discloses an efficient and accurate semiconductor chip thickness measuring device, which comprises a testing mechanism, an upper laser sensor and a lower laser sensor, the testing mechanism comprises a testing table, an upper laser sensor and a lower laser sensor, the testing table is provided with a testing groove, the upper laser sensor is arranged above the testing groove, and the lower laser sensor is arranged right below the upper laser sensor; the feeding mechanism is arranged on one side of the test bench; the positioning mechanism is arranged at the end, away from the testing mechanism, of the feeding mechanism and comprises a mounting frame, symmetrically-arranged air cylinders are arranged on the mounting frame, clamping plates are arranged on the air cylinders, a plurality of connecting rods are arranged at the bottoms of the clamping plates, clamping blocks are arranged on the connecting rods, and a rotating table is arranged below the clamping plates. A vacuum placing suction cup is arranged on the rotating table, and a detection camera is arranged on one side of the rotating table. Compared with the prior art, the chip thickness measuring device can solve the problem of low measuring precision caused by manually adopting a micrometer to measure the thickness of a chip.