601results about How to "Improve detection quality" patented technology

According to the water conservancy big data time sequence water level time delay abnormal point detection method, firstly, water level data are preprocessed, the water level data are made to be uniform in density in time and uniform in measurement standard in numerical value through standardization processing, and upstream and downstream water level data are matched through a dynamic time difference bending algorithm, so that the change rules are consistent; and then finding out a time sequence with the highest similarity in the matched water level data through a longest common substring method, and averaging to obtain the water level delay after differencing time attributes of upstream and downstream water level data in the common substring. A water level relation model is established through support vector regression by using an upstream water level value and a relation between a downstream water level value at a previous moment and a downstream current water level value, a water level predicted value is obtained by using the water level relation model, then a residual error between an actual value and the predicted value is calculated, and a water level abnormal point is obtained by analyzing a distribution model of the residual error. And the water level time delay abnormal point detection accuracy and precision are greatly improved.

The invention discloses a structure surface layer loss state prediction method and system based on dam engineering, belongs to the technical field of dam leakage prediction, and aims to solve the problems that a hidden danger area on the surface of a structural surface of a long-shoreline dam in an existing flowing water area is not accurately identified; and the anti-fatigue damage degree of the structure is difficult to predict for the potential safety hazards. The method comprises the following steps: performing core node deployment scanning under multiple points on a risk area in a dam to obtain a comprehensive structure surface image; performing structural surface hidden danger feature recognition and extraction processing of a related pixel point matrix on the initial risk hidden danger image, and determining a structural surface hidden danger image; space-time fusion processing of multi-source external hidden danger factors is carried out on the corresponding dam sections, and external environment hidden danger features are determined; determining a hidden danger growth correlation degree between the structure surface hidden danger feature and the external environment hidden danger feature; and performing damage growth prediction on the hidden danger area of the structural surface layer of the dam, and generating a maintenance inspection scheme of the dam.

The invention relates to the technical field of auxiliary devices of detection equipment, in particular to a robot and method for detecting the stability of the wall of a pile hole and poisonous gas in the hole, and the robot can be automatically clamped according to the size of the pile hole and automatically ascends and descends for detection after being clamped. The method for detecting the soil texture of the poison gas in the deep pit comprises the following steps: according to the types of harmful gases possibly existing, oxygen, methane, hydrogen sulfide, carbon monoxide and the like, detecting the soil texture of the poison gas in the deep pit, and detecting the soil texture of the poison gas in the deep pit. A multi-parameter gas detector capable of detecting the gases is selected, so that all operators are properly trained to know how to correctly use the detector and deal with emergency situations; and determining that the sensor works normally and is not damaged or blocked, and placing the gas detector at different heights of the pile hole, generally performing detection once from the bottom to the top at a certain distance so as to obtain comprehensive data.

The invention discloses a power equipment defect identification method, system and device and a storage medium, and belongs to the technical field of power equipment defect identification. The method comprises the following steps: acquiring and processing a target infrared light image and a target visible light image of target power equipment to obtain an infrared light sub-image set and a visible light sub-image set; obtaining a feature similarity matrix, obtaining a target element set with the maximum sum of similarity values in the feature similarity matrix, carrying out key point calculation and optimization processing to obtain a target key point set, and constructing a mapping matrix of the target key point set; registering and fusing the target infrared light image and the target visible light image to obtain a target detection image; inputting the target detection image into the trained defect detection model for detection, and outputting a defect detection result of the target detection image; by combining the information of the infrared light and visible light images, the state of the power equipment can be reflected more comprehensively, so that the defect detection precision is improved.

The invention discloses surface performance detection equipment for new material research and development, and belongs to the technical field of detection equipment, the surface performance detection equipment comprises a base, the base is fixedly connected with a support frame, the top of the support frame is fixedly provided with a reflectivity tester body, and the bottom of a support cylinder is connected with a material bearing turntable through a bearing; a rotating adjusting part is installed in the middle of the material bearing rotary disc, the rotating rod is sleeved with a lifting plate, the rotating rod can drive the lifting plate to move up and down, the lifting plate can drive the clamping plates to conduct clamping and loosening movement through the push rods, and the rotating rod can drive the material bearing rotary disc to rotate through the rotating adjusting part. The device has the technical effects that multiple to-be-detected samples are clamped and fixed at the same time, the new material to-be-detected samples are stably positioned, the multiple fixed samples are continuously detected, the detected samples can be automatically loosened and discharged, and the detection working efficiency of the new material samples is effectively improved.

The invention discloses a visual detection device for adhesive label paper production, and relates to the technical field of label paper visual detection, the visual detection device comprises a detection table and further comprises a leveling device, a winding device is arranged at the top of the detection table, a maintenance frame is fixedly installed at the top of the detection table, and visual detection equipment fixedly penetrates through the top of the maintenance frame; a driving plate is fixedly mounted at the top of the detection table, a servo motor is fixedly mounted on the front side of the driving plate, a placement frame is fixedly mounted at the top of the detection table, a rotating motor is rotatably mounted on the rear side of the placement frame, and light supplementing equipment is fixedly mounted at the output end of the rotating motor; the correcting rod moves in the direction close to the label paper to drive the correcting frame to move to correct the position of the label paper to be detected, it is ensured that the label paper is located at the correct center position during detection through position correction, the image capturing accuracy is improved, and the rejection rate caused by misjudgment is further reduced.

The invention provides an intelligent visual inspection method on an inductor hot-pressing production line and related equipment, and relates to the field of quality control of automatic production lines. The method comprises the steps that image information of various inductors of different models is obtained firstly, the image information comprises boundary dimensions and surface defect information, and after preprocessing, a quality judgment model is constructed by combining a deep learning algorithm and qualified inductor image information; and after receiving a detection starting instruction of the display end, shooting a to-be-detected inductor by using a plurality of image acquisition devices pre-deployed in a key area of the production line to obtain a to-be-analyzed image, and inputting the to-be-analyzed image into the model to judge the quality of the inductor. And if the detection result is not matched with the quality threshold value of the qualified inductor of the corresponding model, an unqualified prompt message is sent to the display end, so that efficient and accurate detection of the inductor quality is realized.

The utility model relates to gear crack identification equipment, which comprises a rack, a detection table fixedly arranged at the top of the rack, a controller fixedly arranged on the side wall of the rack and an object placing table arranged above the detection table, a gear body is arranged above the object placing table, a detection structure for detecting the gear body is arranged on the rack, and the detection structure is arranged on the rack. A rotating mechanism for rotating the object placing table is arranged in the rack; the detection structure is composed of an installation frame and a detection probe, the detection probe is detachably installed on the side, close to the storage table, of the installation frame, a servo motor is fixedly installed on the side wall of the rack, and a lead screw extending into the rack is fixedly installed on an output shaft of the servo motor. According to the gear crack identification equipment, through cooperative use of the detection structure and the rotating mechanism, detection of the gear body is realized, and a worker can effectively identify and detect the gear crack, so that the gear crack identification equipment has the advantages of high practicability, good detection effect and the like.

The invention relates to the technical field of rubber tire detection, in particular to an air tightness detection device for rubber tire production and a detection method thereof. Comprising a detection platform, and a telescopic groove is formed in the top of the detection platform; and a tire supporting mechanism movably penetrates through the telescopic groove. The tire limiting mechanism is controlled to limit and fix a rubber tire, then the tire supporting mechanism is controlled to be separated from the rubber tire, the detection marking mechanism is controlled to wrap a part of the rubber tire, and then the tire limiting mechanism is controlled to drive the rubber tire to rotate; through the arrangement of the detection marking mechanism, the detection marking mechanism can mark the air leakage position while detecting the surface in the rotation process of the rubber tire, the problems that manual detection wastes time and omission is likely to happen are solved, the detection work efficiency is improved, the air leakage point can be accurately marked, and the detection efficiency is improved. The problem that follow-up repair is inconvenient due to the fact that no mark exists after existing liquid detection is dried is solved, and the using effect of the detection device is improved.

The invention relates to the technical field of automatic detection of noon tea products, in particular to an automatic detection method of noon tea products, which comprises the following steps: sampling and equally dividing clathrated finished products in a storage area as detection samples, comprehensively evaluating the drug content state, apparent state and clathration degree state of the detection samples, and determining the content of the noon tea products. And continuously executing the process to obtain the inclusion effect evaluation value of a group of detection samples, further analyzing the inclusion standard-reaching rate of the group of detection samples, predicting the inclusion standard-reaching state of residual finished products based on the inclusion standard-reaching rate, and outputting a qualified or unqualified signal in real time. Therefore, rapid and accurate detection of the noon tea inclusion effect is realized, the detection efficiency and the quality control level are remarkably improved, and powerful power is injected for enterprise production optimization and market competition.

The present invention discloses a visual inspection device for producing self-adhesive label paper, which relates to the technical field of visual inspection of label paper, and comprises an inspection table and a leveling device, wherein a winding device is arranged on the top of the inspection table, a maintenance frame is fixedly installed on the top of the inspection table, a visual inspection device is fixedly penetrated on the top of the maintenance frame, a driving plate is fixedly installed on the top of the inspection table, a servo motor is fixedly installed on the front side of the driving plate, a placement frame is fixedly installed on the top of the inspection table, a rotating motor is rotatably installed on the rear side of the placement frame, a fill light device is fixedly installed on the output end of the rotating motor, a correction rod moves in a direction close to the label paper to drive the correction frame to move and perform position correction on the label paper to be inspected, and the position correction ensures that the label paper is in a correct and centered position during inspection, thereby improving the accuracy of image capture and further reducing the scrap rate caused by misjudgment.

The utility model discloses a brushless motor Hall plate detection device, which comprises a test board and a Hall plate arranged at the top of the test board, and is characterized in that the side edge of the test board is provided with a press-down driving mechanism, and the press-down driving mechanism is provided with a display control mechanism; the output end of the pressing driving mechanism is provided with a test piece, and the test piece can be in contact with the detection point under the driving of the pressing driving mechanism; the test piece can be driven by the pressing driving mechanism to do reciprocating motion, and the motion direction of the test piece points to the detection point; according to the utility model, through the arrangement of the downward pressing driving mechanism, the test piece can be driven to move downwards horizontally, so that the test contact of the test piece can be in stable contact with the detection point of the Hall plate, thereby replacing the operation of manually connecting the universal meter with the Hall plate by detection personnel, greatly reducing the labor intensity of the detection personnel, and improving the detection efficiency.

The invention relates to a protocol fuzz testing method and system based on multi-dimensional feedback information, and the method comprises the steps: carrying out the preprocessing of a target protocol entity program, and carrying out the testing preparation; performing a fuzzy test; the fuzzy testing process comprises a selection field variation stage and a variation field cost probability calculation stage for multi-dimensional feedback information processing; obtaining test result information, and feeding back the result information. The system comprises a test preparation module, a fuzzy test module and a result information feedback module. Multi-dimensional feedback information processing is carried out through the selection field variation stage and the variation field cost probability calculation stage, code space coverage of protocol fuzz testing is remarkably improved, more potential vulnerabilities are revealed, testing efficiency is greatly improved, under limited resources, testing is concentrated on a path which is most likely to cause collapse, and the testing efficiency is greatly improved. Therefore, the detection quality and speed are improved.

The invention provides a digital jet printing detection method and system. The method comprises the following steps: acquiring a first drive board digital signal of a digital nozzle; acquiring image single-column data based on the first drive board digital signal; obtaining a first verification image based on the image single-column data and a preset original image parameter; and verification is carried out based on the first verification image and the original image, and testing of digital jet printing is realized. The digital jet printing detection method and system provided by the invention can effectively improve the test efficiency and the detection quality of the digital jet printing system by simulating and replacing a method that a traditional digital jet printing system needs to build an actual ink path system in a test stage before leaving a factory, reduce time, manpower and material resource costs, and improve the test efficiency and the detection quality of the digital jet printing system. And a large number of repeated tests on the digital jet printing system can be further evaluated and detected.

The invention discloses a visual detection method and device for process defects of an electronic connector. The method comprises the following steps: acquiring image data of the electronic connector, performing preprocessing operation to obtain the number of pins and the distance between the pins of the electronic connector, establishing a three-dimensional model of the electronic connector, and obtaining the coordinates of the pins of the electronic connector; acquiring pin image data of the electronic connector, processing the pin image data to obtain a pin standard image, and performing centroid coordinate calculation to obtain centroid coordinates of the pin standard image; according to the coordinates of the center of mass and the coordinates of the pins, the pin deviation angle is calculated, and the pin deviation angle of the electronic connector is obtained; the pin deviation angle and the pin number are input into a pin defect evaluation model, pin defect evaluation is carried out, and a pin defect evaluation value is obtained; when it is judged that the pin defect evaluation value is larger than the preset defect threshold value, an early warning signal is generated and sent to a user side. The method can realize accurate detection of the electronic connector.

The invention relates to the technical field of silicon wafers, in particular to a rotary type silicon wafer discharging sorting machine which comprises rotary conveying equipment installed on an installation frame and used for conveying silicon wafers, and the installation frame is provided with a functional mechanism used in cooperation with the rotary conveying equipment. The rotary transportation equipment comprises a shell, a material suction structure installed outside the shell, and a driving structure arranged in the shell and used for driving the material suction structure to suck the silicon wafers. During use, the four material suction boxes rotate clockwise, when the material suction box on the left side conducts feeding, the material suction box after material suction is rotated to the position below a cleaning brush through a linkage piece, at the moment, the material suction box on the bottom comes to the left side, then silicon wafers are cleaned through a driving structure, the material suction box on the bottom comes to the left side for material suction, the silicon wafers are fed, and the like. The four material suction boxes can synchronously achieve the steps of intermittent material suction, detection, cleaning, discharging and the like, and the discharging efficiency of the silicon wafers is effectively improved.

The invention relates to the technical field of chip defect detection equipment, in particular to chip cleaning detection equipment and a detection method. The equipment comprises a rack, a feeding mechanism, a front high-power detector, a first material taking mechanism, a cleaning mechanism, a transfer table, an HR end face detector, an AR end face detector, a front low-power detector, a second material taking mechanism, a back detector and a discharging mechanism. The front high-power detector, the first material taking mechanism, the front low-power detector and the second material taking mechanism are all erected on the rack; the feeding mechanism, the cleaning mechanism, the transfer table, the back face detector and the discharging mechanism are sequentially arranged on the rack in the transverse direction. The front high-power detector is arranged above the feeding mechanism; the cleaning mechanism, the HR end face detector, the AR end face detector and the back face detector are arranged around the transfer table, and the front face low-power detector is arranged above the transfer table; the first material taking mechanism can move between the feeding mechanism and the transfer table. The second material taking mechanism can move between the transfer table and the discharging mechanism.

The invention relates to a cutter running-in machine of a shield tunneling machine, which belongs to the technical field of shield tunneling machines and comprises a base, a mounting seat, a cutter running-in testing device and a cutter mounting device, a fixed mounting frame is arranged at the top of the mounting seat; the cutter running-in testing device comprises a driving part arranged on the fixed mounting frame and an executing mechanism connected with the driving part, and the driving part can drive the executing mechanism to drive the cutter ring to rotate; the tool mounting device comprises a directional moving assembly arranged at the top of the base, a tool assembling seat is arranged at the top of the directional moving assembly, the directional moving assembly can drive the tool assembling seat to perform directional displacement, and the tool running-in testing device is matched with an executing mechanism through a driving part arranged on a fixed mounting frame. The cutter ring can be stably and efficiently driven to rotate, so that the running-in test of the cutter is realized, and the non-uniformity and instability in the traditional running-in detection are avoided.

The utility model discloses a detection robot, the detection robot comprises a moving part and a detection part, the moving part is driven by a first driving member, the detection part is used for detecting the subfissure condition of a photovoltaic module, the detection part is driven by a second driving member, the moving part is provided with a grabbing mechanism, the grabbing mechanism is used for grabbing the photovoltaic module, and the detection part is used for detecting the subfissure condition of the photovoltaic module. The grabbing mechanism can loosen or grab and fix the detection part, so that the detection part and the moving part are in a split state or a combined state, in the split state, the detection part moves in the extension direction of the photovoltaic module under the driving action of the second driving part and synchronously detects defects or hidden cracks on the surface of the photovoltaic module, and in the combined state, the detection part is driven by the second driving part to move in the extension direction of the photovoltaic module. The detection part is fixed to the grabbing mechanism, so that the detection part is carried on the moving part and synchronously moves along with the moving part, the cooperative operation mode of the moving part and the detection part is achieved, the detection quality and efficiency of the hidden cracks on the photovoltaic module are improved through the automatic design, and the detection burden of workers is relieved.

The invention relates to the technical field of railway train operation control, and provides a digital track circuit health state analysis method, device, equipment and medium, and the method comprises the steps: carrying out the deviation standardization processing of the electrical parameters of a track section; performing parameter category labeling on the standardized electrical parameters, and generating a data instance of the track section according to the standardized electrical parameters and the electrical parameter categories; determining a training data set and a test data set of the track section according to the data instance, training the support vector machine model according to the training data set, and performing parameter optimization on the trained support vector machine model by using the test data set; using the support vector machine model after parameter tuning to classify preset electrical parameters to be analyzed to obtain category instances of the track section; and determining the risk state of the digital track circuit according to the distance between the category instance and the decision plane. According to the invention, the accuracy of health state analysis of the digital track circuit can be improved.

The utility model relates to the technical field of solar cell production equipment, in particular to a cell detection device, and aims to solve the problem that the interior of a cell cannot be detected when the back of the cell is polished. The device comprises a shielding assembly, a camera assembly and a light source assembly. The shielding assembly, the camera assembly and the light source assembly are all arranged above the battery piece; the shielding assembly comprises a baffle, the baffle comprises a light shielding plate, and the light shielding plate can move in the conveying direction of the battery pieces and the direction perpendicular to the battery pieces; the light source assembly emits light to irradiate the battery piece, and the camera assembly receives the light on the side, away from the light source assembly, of the shading plate to obtain images. Interference light is reduced by adjusting the position of the baffle, the interior of the battery piece is detected from the upper portion of the battery piece in an infrared light irradiation mode, the device has the advantages of being high in adjusting precision and easy to use, and the problem that detection cannot be achieved due to the fact that light cannot be emitted on the back face is solved.

The invention discloses a detection device and method for network transformer production, and belongs to the field of network transformers. The detection equipment for network transformer production comprises a bottom plate and further comprises a first conveyor and a second conveyor which are fixed to the upper portion of the bottom plate and used for conveying a network transformer, a testing assembly is arranged between the first conveyor and the second conveyor, and a pneumatic carrying assembly is further arranged on the upper portion of the bottom plate. The pneumatic carrying assembly adsorbs the network transformer on the first transmission machine and transmits the network transformer to the position of the testing assembly, and the pneumatic carrying assembly adsorbs the network transformer tested by the testing assembly and transmits the network transformer to the upper portion of the second transmission machine for automatic testing. The detection problem is solved through automation and accurate control, the network transformer is conveyed to the test position through the first conveyor, the pneumatic carrying assembly adsorbs and transfers the network transformer, it is ensured that pins are aligned, the test assembly automatically detects the pins, efficiency and quality are improved, and pin damage is reduced.

The invention discloses an inhaul cable detection robot based on visual identification and an inhaul cable detection method.The inhaul cable detection robot comprises a crawling device, a camera detection device, a control center, a driving device and a connecting piece, a shear fork type mechanism with an elastic structure and a crawler-type advancing mechanism are arranged in the crawling device, and on the premise that an inhaul cable is not damaged, the inhaul cable can be automatically detected through the crawler-type advancing mechanism; the cable is held tightly to climb upwards, the condition of the cable is fed back in real time through the camera detection device, the stress of each device and the visual angle of the camera are balanced according to a cable detection method, and the pressure of the crawling device on the cable can be balanced in real time through the holding device and the visual angle control device of the control center. The device not only can ensure that the pressure of each part of the crawling device is balanced and the inhaul cable is tightly held, but also can prevent the inhaul cable from being damaged and deformed due to the fact that the pressure of a certain part of the crawling device on the inhaul cable is too large, can adapt to detection of different inhaul cables, and the visual angle control device controls the camera detection device in the detection process. According to the method, pictures of different positions of the inhaul cable are obtained in real time, details and potential defects of partial areas are not detected, the accuracy and comprehensiveness of detection are ensured, the efficiency and reliability of detection are improved, and inhaul cable detection work is completed more comprehensively and efficiently.

The invention belongs to the field of automobile shock absorber bearing detection, and discloses an automobile shock absorber bearing finished product multi-azimuth detection system which comprises a conveyor belt, an industrial personal computer is arranged on one side of the conveyor belt, and an outer diameter surface detection mechanism, an upper end face detection mechanism and a lower end face detection mechanism are sequentially arranged on a support of the conveyor belt. The outer diameter surface detection mechanism is used for detecting the outer diameter surface appearance quality of the automobile shock absorber bearing, the upper end face detection mechanism is used for detecting the upper end face appearance quality of the automobile shock absorber bearing, and the lower end face detection mechanism is used for detecting the lower end face appearance quality of the automobile shock absorber bearing. The system is provided with the outer diameter surface detection mechanism, the upper end surface detection mechanism and the lower end surface detection mechanism, so that the appearance quality of the outer diameter surface, the upper end surface and the lower end surface of the automobile shock absorber bearing can be comprehensively detected. Through multi-directional detection, various defects on the surface of the bearing can be found in time.

The invention discloses a product detection system. The product detection system comprises a cabinet body including an upper cabinet body and a lower cabinet body; the product detection device is arranged in the upper cabinet body and is used for detecting the quality of the product; and the control device is arranged in the lower cabinet body and is electrically connected to the product detection device. The product detection device comprises a product conveying device used for conveying a detected product; and the plurality of camera devices are arranged at a plurality of different positions along the conveying direction of the product and are used for respectively shooting images of the detected product from a plurality of different directions. The control device comprises a quality judgment module which is used for judging whether the quality of the detected product is qualified or not according to the shot image of the product. According to the product detection system, quality detection of various products can be automatically completed, sorting of qualified products and unqualified products can be automatically completed, and the detection efficiency and quality of the products are greatly improved.

The utility model relates to an air bag pressure detection device for a film sensor. A detection assembly is arranged on the workbench and comprises a rack, an oil cylinder, a middle plate, an air bag bottom plate, an air bag film, a pressing frame and a film sensor, the sliding direction of the middle plate is perpendicular to the air bag bottom plate, an air groove is further formed in the air bag bottom plate, and the air bag film tightly covers the air groove and is fixed to the air bag bottom plate through the pressing frame. The air groove is provided with an air inlet and an air outlet, the air bag bottom plate is provided with an air inlet channel and an air outlet channel, an inlet of the air inlet channel is formed in the side edge of the air bag bottom plate, an outlet of the air inlet channel is communicated with the air inlet, an outlet of the air outlet channel is also formed in the side edge of the air bag bottom plate, and the air outlet in the air groove is communicated with the air outlet channel. The middle plate is driven by the oil cylinder to enable the thin film sensor to be tightly pressed on the air bag film, and the thin film sensor is detected by inflating the air groove. The device is ingenious in structure, convenient and practical.

The present invention provides a detection method and application of related substances in cationic lipid YK-009, the detection method comprising the following steps: (1) mixing a sample to be tested with a diluent to obtain a test solution; (2) mixing a related substance standard with a diluent to obtain a reference solution; (3) subjecting the test solution and the reference solution to liquid chromatography detection, and calculating the content of the related substances according to the detection results; the mobile phase of the liquid chromatography detection comprises a mobile phase A and a mobile phase B, the mobile phase A is an aqueous solution of acetic acid-triethylamine, and the mobile phase B is an acetonitrile solution of acetic acid-triethylamine. The detection method provided by the present invention can accurately detect a variety of related substances in YK-009 at the same time, has high sensitivity, high accuracy, high reproducibility, good durability, and is convenient for accurate detection and quality control of related substances in YK-009.

The utility model relates to the technical field of Teflon hoses, and discloses a steel wire braided Teflon hose flaw detection device which comprises a flaw detection device and a Teflon hose, the Teflon hose penetrates through the front side and the rear side of the flaw detection device, the flaw detection device is arranged in the shape of a square frame, and the Teflon hose is arranged in the shape of a steel wire braided Teflon hose. Image acquisition devices are arranged on the periphery of the flaw detection device in a circumferential array mode, the number of the image acquisition devices is four, cameras are arranged in the image acquisition devices, and sliding devices are arranged in the image acquisition devices. By arranging the flaw detection device and arranging the four groups of image acquisition devices on the periphery of the flaw detection device in a circumferential array mode, the Teflon hose can be detected from four directions, the comprehensiveness of the detection effect is ensured, the phenomenon that the detection is incomplete due to the fact that the image acquisition devices are only arranged above the Teflon hose in a traditional device is avoided, and the detection efficiency is improved. The detection quality is influenced.

The utility model relates to the technical field of elasticity detection equipment, in particular to deformation and elasticity automatic detection equipment applied to a conductive elastic sheet on a workpiece, which comprises a substrate, and a lifting mechanism, a first light source assembly, a second light source assembly, a camera and a workpiece positioning jig are arranged on the substrate. The first light source assembly, the workpiece positioning jig, the second light source assembly and the camera are sequentially arranged from front to back, images obtained after pressing deformation of the conductive elastic pieces are collected through the camera to be analyzed, and when two or more conductive elastic pieces are arranged on a workpiece and all the conductive elastic pieces are pressed down by the dynamometer, the conductive elastic pieces are located on the workpiece. And if the deformation condition of one conductive elastic sheet does not fall into the preset deformation degree range, the conductive elastic sheet is also considered to be unqualified, and compared with the prior art that the deformation degree is judged by adopting the pressing distance of a dynamometer, the detection device can detect at least more than two conductive elastic sheets at the same time more accurately and reliably.

The utility model discloses an auxiliary mechanism for an automatic optical detection machine, and particularly relates to the technical field of auxiliary detection, the auxiliary mechanism comprises a box body, a movable plate is arranged in the box body in a sliding manner, toothed plates which are symmetrically distributed are fixedly arranged on the lower surface of the movable plate, and a gear is arranged on one side wall of each toothed plate in a meshed manner. The circuit board cleaning device is provided with a moving plate, a placing block, a fan, an air inlet pipe, a flow dividing box, an air outlet pipe and an air blowing head, so that the effect of cleaning dust and impurities on the surface of a circuit board is achieved, the moving plate is driven to drive the placing block to move, and after the placing block moves to the position where the circuit board is convenient to clean, the circuit board is fixed; the movable plate and one end of the placing block are moved out of the box body, the fan conveys air into the air blowing head through the air inlet pipe, the flow dividing box and the air outlet pipe, the air is blown out through the air blowing head, dust and impurities on the circuit board are cleaned, the placing block makes contact with the circuit board in a falling-off mode, and therefore the dust and impurities on the upper surface and the lower surface of the circuit board can be cleaned at the same time.