464results about How to "Implement automatic detection" patented technology

The invention relates to an unmanned aerial vehicle defect detection method based on channel space fusion cross attention. The method comprises the following steps: planning a waypoint sampling route of a tower pole in a power transmission line; a high-resolution visible light image shot by the unmanned aerial vehicle at a low altitude is obtained and preprocessed; improving the YOLOv8 network model to obtain a YOLOv8-based unmanned aerial vehicle defect detection model, and training and verifying the YOLOv8-based unmanned aerial vehicle defect detection model; and identifying the defect positions and types of the copper-aluminum transition wire clamp and the pin missing in the tower. According to the invention, a multi-scale feature extraction network in a YOLOv8 network model is replaced by an ESSF module to solve the problem of severe scale change, shallow information and deep information are fully fused, more small target information can be captured, and a small target detection layer is added to enhance the perception ability of the model to a small object; a CSFCA attention mechanism module is integrated, global and local information can be fully utilized, background noise can be filtered, key information can be highlighted, and the efficiency of defect detection is improved.

The invention relates to the technical field of carrier evaluation, in particular to a carrier portrait evaluation system and method based on multi-dimensional data fusion, and the system comprises a data source obtaining module which is used for collecting a plurality of carrier related data sources in real time; the data preprocessing module is used for carrying out normalization preprocessing on the collected data; the multi-dimensional data fusion module is used for constructing a dynamic carrier portrait by adopting a multi-modal fusion algorithm and a hierarchical data modeling technology so as to provide a basis for evaluation; the scene performance evaluation module is used for carrying out comprehensive evaluation on the carriers in a plurality of business scenes, carrying out comprehensive scoring on the plurality of carriers through a multi-index evaluation method, and obtaining a comprehensive score ranking of the plurality of carriers; and the carrier relationship detection module is used for analyzing the association relationship between the preferred carrier and other carriers. According to the invention, the accuracy of evaluation is improved, and the adaptability of the system to a complex business environment is enhanced, so that an enterprise can make a more scientific decision when selecting a carrier.

The invention discloses an environment-friendly outdoor ring main unit, which belongs to the technical field of ring main units, and comprises a plurality of cabinet bodies, an environment-friendly gas cabinet, a sleeving frame and a peripheral detection plugging mechanism, wherein the peripheral detection plugging mechanism comprises a screw rod, a driving motor, a sleeving block, a sleeving rectangular plate, two plugging air bags, a connecting pipe, a circulating fan and a circulating pipe, and is also provided with a top detection plugging mechanism; and one side of the circulating pipe is also provided with a supplementing assembly. Through the peripheral detection plugging mechanism, the device has the advantages that the peripheral gas leakage part of the environment-friendly gas cabinet is automatically detected in time, long-time leakage of helium in the environment-friendly gas cabinet is avoided, waste of helium resources is greatly reduced, and the environmental protection property of the outdoor ring main unit is greatly improved, so that the problem that the gas leakage part is difficult to automatically detect in time is solved; the automatic replacement of the protective gas is realized, and the problems of resource waste caused by long-time leakage of the protective gas and poor environmental protection property of the ring main unit are avoided.

The invention relates to an anti-cross-labeling intelligent atlas identification method and device, electronic equipment and a storage medium. The anti-cross-bidding intelligent atlas identification method comprises the following steps: collecting related data in a bidding and tendering process; the data is cleaned, integrated and formatted, so that subsequent graph construction and analysis are facilitated; a bidding data atlas is constructed based on the collected data, nodes represent data entities including bidders and bidding files, and sides represent the relationships including bidding relationships, association relationships and bidding file repetition similarity degrees among the entities; extracting features related to the trademark behavior from the atlas; training the extracted features by using a machine learning algorithm, and constructing a string mark behavior recognition model; evaluating the trained model, and performing parameter adjustment and optimization according to an evaluation result; and the trained model is used to carry out automatic detection of the string marking behavior. According to the anti-cross-labeling intelligent atlas identification method, cross-labeling behaviors can be automatically, efficiently and accurately identified.

The invention relates to a product final inspection machine. The machine comprises a rack; the external detection module comprises a transfer mechanism, and a mixed material detection mechanism, an over-spline detection mechanism, an outer diameter detection mechanism, a length detection mechanism and a helical tooth detection mechanism which are arranged in sequence, and the transfer mechanism transfers parts in a previous process to a next process; the internal detection module comprises a turntable conveying mechanism, and an inner hole detection mechanism, a thread detection mechanism and an inner diameter detection mechanism which are arranged in sequence, and the turntable conveying mechanism conveys parts and enables the parts to pass through the inner hole detection mechanism, the thread detection mechanism and the inner diameter detection mechanism in sequence; and the robot is used for transferring the to-be-detected parts from the charging tray into the mixed material detection mechanism, transferring the parts in the helical tooth detection mechanism into the turntable conveying mechanism and taking down the parts in the turntable conveying mechanism. According to the device, detection work of all parameters of parts can be completed, feeding, discharging and transferring work of the parts can be automatically carried out, detection work of multiple parts can be carried out at the same time, and detection work of batch parts can be rapidly completed.

The invention discloses a method for detecting ethylene oxide and acetonitrile in stationary source waste gas, which comprises the following steps: collecting the stationary source waste gas according to a waste gas sampling device, and researching the movement direction of the stationary source waste gas to obtain movement characteristics; carrying out ethylene oxide and acetonitrile detection on the stationary source waste gas by adopting a gas chromatographic method according to the motion characteristics to obtain first detection data; carrying out ethylene oxide detection on the stationary source waste gas by adopting an electrochemical analysis method, and carrying out acetonitrile detection by adopting a liquid chromatography to obtain second detection data; and performing data fusion on the first detection data and the second detection data to obtain a comprehensive quantity, and outputting the comprehensive quantity as a detection result. The method not only can improve the detection precision of the ethylene oxide and the acetonitrile in the stationary source waste gas, but also has better interpretability, and can be directly applied to a detection system of the ethylene oxide and the acetonitrile in the stationary source waste gas.

The invention belongs to the technical field of mine transportation, and discloses a belt conveyor roller anomaly detection system based on optical fiber auscultation, which comprises a data acquisition unit, a preprocessing unit and a prediction model which are connected in sequence, and an anomaly detection unit and a linear layer which are connected with the prediction model. The data acquisition unit acquires audio data in the running process of the carrier roller, converts the audio data into vibration data and outputs the vibration data to the preprocessing unit, the preprocessing unit segments the input vibration data, the segmented vibration data are input into the trained prediction model, and the prediction model is used for predicting the carrier roller. And the prediction model outputs the characteristics of the potential space corresponding to the current vibration data to an anomaly detection unit, the distance between the characteristics of the current potential space and the characteristic center of the potential space when the carrier roller normally operates is calculated, and if the distance is larger than a set distance threshold value, the current operation of the corresponding section of carrier roller is abnormal. According to the method, automatic detection of the abnormity of the carrier roller is realized, the information contained in the potential spatial features output by the prediction model is richer, and the abnormity detection precision of the carrier roller is improved.

The invention discloses a road subgrade disease detection method and system, belongs to the technical field of road subgrade disease detection, realizes automatic detection and identification of road subgrade diseases by introducing a deep learning mode, and constructs a multi-scale feature extraction module and a multi-scale detection module. According to the invention, multi-scale feature recognition and detection can be carried out on the input data, so that the detection accuracy of the road subgrade diseases is further improved, the detection cost of the road subgrade diseases can be effectively saved, and the detection efficiency of the road subgrade diseases is improved.

The invention discloses a method for detecting the size of a plate of a hexahedral drill. The method comprises the following steps of: 1, generating processing data according to read label information of a processed plate; 2, the control system reads machining data to obtain the plate size and the technological process; 3, a machining program is automatically started, and when the X-direction pushing mechanism and the Y-direction pushing mechanism execute plate positioning, the length and the width of the plate are detected through a magnetic head and a magnetic railing ruler; 4, judging whether the detected length and width of the plate are within the error range of the length and width of the plate set by the control system or not; 5, the plate is clamped by a clamp mechanism, and the thickness of the plate is detected through a magnetic head and a magnetic railing ruler; 6, judging whether the detected thickness size of the plate conforms to the processing data or not; if yes, processing the plate according to an original plate analysis data process; and if not, compensating related process data of the plate according to the detected thickness error of the plate, and then performing processing.

The invention discloses an unmanned garbage salvage ship for water area garbage treatment, and relates to the technical field of garbage salvage ships. Comprising a collecting bin, a dirt collecting plate, an electric conveying belt, a base plate, an unmanned ship body, an electric lifting table, a cleaning device and a detection and maintenance device, the cleaning device is used for regularly cleaning the electric conveying belt and a conveying plate, and it is prevented that garbage and oil dirt are attached for a long time, the fishing efficiency is affected, and the electric conveying belt and the conveying plate are corroded and damaged. The oil contamination detection plate is used for converting the oil contamination condition on the surface of the electric conveying belt into friction force, the friction force is converted into electric signals to be recognized, the adhesion degree of the oil contamination is detected by recognizing the strength of the electric signals, and meanwhile the stain adhesion condition on the surface of the electric conveying belt is converted into abrupt change electric signals; therefore, detection of stains on the surface of the conveyor belt is realized. And stains on the surfaces of the electric conveying belt and the conveying plate are scraped through a horizontal scraping strip and a vertical scraping strip on the oil stain detection plate.

The present invention relates to the technical field of PVC plastics, and in particular to quality inspection equipment for PVC plastic particles, comprising a workbench, a rotating disk, a feeding tank, a carrying disk, a molding part and a light source part, wherein the feeding tank is used for placing and storing particle bodies, and the feeding tank is used for unloading the particle bodies into the carrying disk; the carrying disk is provided with at least one group, and the carrying disk can be lifted and lowered on the rotating disk, and the rotating disk drives the carrying disk to rotate relative to the workbench; the molding part comprises a hot pressing plate, and the hot pressing plate is used for hot pressing the particle bodies in the carrying disk into a plastic film; a photosensitive unit is provided on the inner side of the carrying disk, and the light source part is used for irradiating the plastic film and cooperating with the photosensitive unit to perform light transmittance detection; the lower side of the feeding tank is provided with an inverted cone, and a feeding port is provided on the upper side of the feeding tank, and a unloading barrel is fixedly connected to the lower end of the inverted cone. The present invention realizes the automatic detection function conveniently and efficiently.

The invention discloses an electric power safety tool detection system and a detection method thereof, and relates to the technical field of electric power safety, and the system comprises the following components: a non-contact sensor array which integrates various non-contact sensors such as an infrared sensor, a laser range finder and an ultrasonic flaw detector, the infrared, laser and ultrasonic non-contact sensor arrays are respectively used for detecting the insulating property, the mechanical strength and the wear degree of the tool, and the multi-dimensional and high-precision automatic detection of the insulating property, the mechanical strength and the wear degree of the electric power safety tool is realized by adopting the infrared, laser and ultrasonic non-contact sensor arrays; according to the method, secondary damage possibly caused by traditional contact type detection to the tool is effectively avoided, particularly when the tool in the high-pressure and high-temperature extreme environment is treated, the safety of the detection process is remarkably improved through the non-contact characteristic of the method, subtle changes of the tool can be captured more accurately through non-contact type detection, and the detection accuracy of the tool is improved. Therefore, the detection accuracy and reliability are obviously improved.

The invention provides a photovoltaic module detection device and detection method. Relates to the technical field of photovoltaic structures. The photovoltaic module detection device comprises a first transmission assembly and a second transmission assembly which are arranged continuously. The first transmission assembly is provided with a movable first image acquisition unit, and the first image acquisition unit can move along a first direction and / or a second direction relative to the first transmission assembly so as to acquire a first image of a specified area on the photovoltaic assembly and identify and judge defect parameters on the area according to the first image; a movable second image acquisition unit is arranged on the second transmission assembly; and the second image acquisition unit can move along the first direction and / or the second direction relative to the second transmission assembly so as to acquire a second image of other areas except the specified area on the photovoltaic assembly and identify and judge defect parameters on the area according to the second image.

The invention provides a diagnosis method and a diagnosis device for abnormal sound faults of a valve mechanism of an engine. The method comprises the steps that acoustic signals of a target area in the engine test run process and classification results corresponding to the acoustic signals are obtained, the acoustic signals are signals transmitted by a valve mechanism through sound waves in the engine test run process, and the classification results include that the valve mechanism has an abnormal sound fault and does not have the abnormal sound fault; performing feature extraction processing on the acoustic signal to obtain a feature signal, and obtaining a signal-to-noise ratio of the feature signal and kurtosis of the feature signal; obtaining a signal-to-noise ratio and kurtosis of a to-be-diagnosed acoustic signal to obtain a to-be-diagnosed signal-to-noise ratio and a to-be-diagnosed kurtosis, and inputting the to-be-diagnosed signal-to-noise ratio and the to-be-diagnosed kurtosis into the classification model to obtain a classification result corresponding to the to-be-diagnosed acoustic signal; and according to a classification result, determining whether the valve mechanism has an abnormal sound fault or not. According to the method, the problems of low accuracy and low efficiency of the abnormal sound fault diagnosis mode of the valve mechanism of the engine in the prior art are solved.

The invention relates to the technical field of wafer detection, in particular to wafer electrical performance detection equipment, which can realize automatic detection of wafers, save manual operation and improve detection efficiency and accuracy, and is characterized in that a detection platform is arranged in an equipment housing, and a moving table connected with an X-axis driving mechanism and a Y-axis driving mechanism is arranged on the detection platform; a lifting table and a lower visual camera which are connected with a Z-axis lifting mechanism are mounted on the mobile table, a wafer adsorption platform is mounted on the lifting table, a probe chuck is mounted on a top cover plate of the equipment housing, a probe circuit board is arranged on the probe chuck, an upper visual camera is arranged above the wafer adsorption platform, and the upper visual camera is connected with a transverse movement driving mechanism; the detection process comprises the steps that a wafer is placed on the wafer adsorption platform, the lower visual camera shoots a probe on the probe circuit board, the upper visual camera shoots a mark point on the wafer to determine the moving path of the wafer adsorption platform, the wafer adsorption platform drives the wafer to move to the position below the probe circuit board, and the wafer is lifted for testing.

The invention discloses an AGV traffic control system and method based on collision detection and arrival time. The system comprises a collision management module used for testing possible collision between AGVs according to a map; the time table management module is used for determining a time table when the AGV arrives at each point location and adjusting the time table when the time of occupying the road between the AGV tasks has conflict; the collision area management module is used for analyzing whether the AGV tasks to be distributed collide or not and analyzing whether the road occupation time among the AGV tasks has conflicts or not according to the time table, the collision area and the AGV tasks; the collision detection module is used for analyzing whether the path of the to-be-allocated AGV task is in the collision area or not and analyzing whether the path of the to-be-allocated AGV task can enter the collision area or not; and the task allocation determination module is used for determining whether the to-be-allocated AGV task is an allocated task or not. According to the invention, the AGV task execution efficiency and the path utilization rate are improved, and automatic and stable operation can be realized.

The size detection device based on the laser method comprises a detection platform, a detected piece supporting assembly for supporting a detected piece and a laser sensor detection assembly, the detected piece supporting assembly and the laser sensor detection assembly are both installed on the detection platform, and the size detection device based on the laser method is characterized in that the laser sensor detection assembly comprises a plurality of laser sensors; the distribution of the plurality of laser sensors is matched with the size and the shape of a detected piece, each laser sensor consists of an emitter for emitting detection laser to the detected piece and a receiver for receiving the detection laser, the emitters and the receivers are arranged in a one-to-one alignment manner along the vertical direction, and the detected piece is supported between the emitters and the receivers. Reliable supporting and positioning of the detected piece are formed, automatic detection of the size of the detected piece is achieved, the size detection efficiency of the detected piece is improved, and the size detection precision is guaranteed. The invention further provides a size detection method based on the laser method.

The utility model provides packaging box appearance detection equipment, relates to the technical field of detection equipment, and aims to solve the problem of high labor intensity of a packaging box appearance detection mode. Comprising a rack, a conveying device, a four-axis robot and a waste box collecting device, the conveying device, the four-axis robot and the waste box collecting device are installed on the rack, the conveying device is used for driving a packaging box to flow in the first direction, and the packaging box is provided with an upper surface, a lower surface and four side faces; the rack is provided with a first detection position located in a circulation path of the packaging box and a second detection position located in the lateral direction of the conveying device, a vacuum suction cup is installed on a rotating shaft at the tail end of the four-axis robot, and a first visual assembly is installed on a machine shell of the four-axis robot and used for detecting the upper surface; the second detection position is provided with a second visual assembly and a third visual assembly, the second visual assembly is used for detecting the lower surface, and the third visual assembly is used for detecting the four side faces. The automatic detection of the appearance of the packaging box can be realized, and the labor intensity is reduced.

The invention relates to an automatic thread detection device. The device comprises a base; the thread gauge is connected to the base through a connecting structure, the connecting structure comprises a connecting seat and a mounting seat, the connecting seat can move relative to the base in the axial direction of the thread gauge, the mounting seat can move relative to the connecting seat in the axial direction of the thread gauge, and the thread gauge is connected to the mounting seat; the laser displacement sensor is connected to the connecting seat, and the laser displacement sensor is used for detecting the distance between the laser displacement sensor and the mounting seat in the axial direction of the plug thread gauge; when the thread gauge rotates and the mounting seat moves close to the measured part along with the connecting seat, and the thread gauge and the mounting seat are limited by the measured part to continue to move along with the connecting seat when the thread gauge and the unqualified measured part reach the maximum matching degree. The device can achieve the automatic detection of part threads, judges whether a part is qualified or not through the detection of the distance between the laser displacement sensor and the installation seat, is high in accuracy, and is high in precision of a part thread detection result.

The invention discloses a walking race video foul action automatic detection method based on 2D human body posture estimation, and belongs to the technical field of crossing of computer vision and sports science, and the method specifically comprises the steps: constructing and training a video 2D human body posture estimation network based on space-time self-attention; comprising a picture human body posture estimation network, a joint feature embedding module and a time-space self-attention Transform network embedded with time sequence block moving operation in sequence. Classifying a walking race video data set through an expert, inputting the classified walking race video data set into the trained video 2D human body posture estimation network, outputting joint point estimation two-dimensional coordinates, and inputting the joint point estimation two-dimensional coordinates and the calculated included angle between the joint point estimation two-dimensional coordinates and the left knee joint and the right knee joint into a logistic regression model for training to obtain the logistic regression model for different foul actions for automatic foul action detection. According to the method, rich time information between video frames is fused by utilizing a space-time self-attention mechanism, more accurate human body two-dimensional coordinates are acquired, the walking race foul actions are learned in combination with the logistic regression model, automatic detection and classification of the walking race foul actions are realized, and the detection accuracy is relatively high.

The invention relates to the field of ocean temperature frontal surface detection, and discloses an ocean frontal surface intelligent detection method fusing dense jump connection and seasonal enhancement, which comprises the following steps: obtaining daily satellite remote sensing SST data of a research sea area, and carrying out preprocessing to obtain an SST gradient map; marking the frontal surface label to obtain frontal surface label data; constructing a seasonal enhanced multi-scale recognition network model fused with dense jump connection; the model comprises five encoders, four decoders, a head network and six intermediate states; the SST gradient map and frontal label data are divided into a training set and a test set, and the model is trained and subjected to precision evaluation; and preprocessing SST data of a sea area to be detected to obtain an SST gradient map, and inputting the SST gradient map into the qualified model for ocean frontal surface intelligent detection. The method disclosed by the invention can improve the overall expressive force of the model and the accuracy of frontal surface detection.

The invention discloses a direct-current charging pile and a filter screen blockage detection device and method thereof. The detection device comprises a temperature acquisition unit, a storage unit and a control unit, the temperature acquisition unit is used for acquiring charging temperature data during each charging; the storage unit is used for storing a preset charging pile filter screen state database; the control unit is used for acquiring the charging duration and the charging power of each time of charging; and judging the state of the filter screen of the charging pile according to the charging duration, the charging power and the charging temperature data during the same charging and the state database of the filter screen of the charging pile. The state of the filter screen can be automatically detected, the problems that the heat dissipation effect is poor and the charging pile quits operation due to the fact that the filter screen is not replaced in time are solved, and the problems that the operation and maintenance efficiency is low and the cost is high due to the fact that the filter screen is excessively cleaned or the protection level is improved are solved.

The embodiment of the invention discloses a detection device, equipment and method for detecting liquid leakage of a battery pack, and a switching module in the detection device controls the conduction of a first path, a second path or a third path according to a first signal from a control module. The detection module determines a first measuring range, a second measuring range and a third measuring range which need to be used by the conditions of the first passage, the second passage and the third passage respectively. The control module calculates a first voltage at two ends of the battery pack in the first path under the first measuring range, a second voltage at two ends of the first positive switching resistor in the second path under the second measuring range and a third voltage at two ends of the first negative switching resistor in the third path under the third measuring range; and according to the first voltage, the second voltage, the third voltage, the resistance value of the first positive switching resistor and the resistance value of the first negative switching resistor, calculating an equivalent resistance between the reference port and the target detection point, wherein the equivalent resistance is used for describing the liquid leakage condition of the battery pack. The detection device can rapidly and efficiently check the battery leakage condition, and the service life of the battery is prolonged.

The utility model discloses a detecting and sorting device for mass scale sensors, which relates to the technical field of mass scale sensor sorting and comprises a support frame, one side of the top of the support frame is fixedly connected with a regulation and control mechanism, and a detecting mechanism is arranged below the regulation and control mechanism and located on one side of the top of the support frame. And the other side of the top of the supporting frame is fixedly connected with a sorting mechanism, and the interior of one end of the supporting frame is fixedly connected with a storage box. According to the utility model, through the arrangement of the detection mechanism, in the process of detecting the weighing scale sensor, after the weighing scale sensor is connected with the regulation and control terminal through the wire, the weighing scale sensor is pressed and detected through the pressing rod, so that automatic detection can be realized, and the sorting mechanism can automatically sort the weighing scale sensor according to different detection results. The weighing scale is clamped and placed in different storage boxes, and through the arrangement of semi-automatic detection and sorting, the weighing scale sensor only needs to be manually placed on the base and then wiring is carried out, so that the detection and sorting speed is higher, and the detection and sorting efficiency is higher.

The invention relates to the technical field of wireless communication, and discloses a rapid networking method based on software defined radio fusion of multiple communication devices, which comprises the following four steps: preliminary networking, strategy decision and broadcast integration, direct neighbor device response and integration, and indirect neighbor device and other device integration. Information exchange and data transmission between cross-platform and cross-protocol communication devices are realized. And an integration mechanism of layer-by-layer diffusion is adopted, so that orderliness and high efficiency of the networking process are ensured. According to the method, network parameters do not need to be configured manually, the networking complexity and cost are reduced, and the networking efficiency and flexibility are improved. The method is especially suitable for emergency communication, Internet of Things, military communication and other scenes requiring rapid and flexible networking.

The utility model discloses a TOPCON battery low-alkali wastewater treatment system. The system comprises a low-alkali wastewater collection pool; a comprehensive adjusting tank; a physicochemical primary treatment module; the physicochemical primary PH regulating tank is connected with the comprehensive regulating tank; a physicochemical secondary treatment module, wherein a physicochemical secondary PH regulating tank is respectively connected with a physicochemical primary sedimentation tank and a low-alkali wastewater collecting tank; a neutralization callback pool; an up-to-standard discharge pool; the sulfuric acid storage tank is respectively connected with the physicochemical first-stage and second-stage PH regulating tanks and the comprehensive regulating tank; the lime milk agent storage tank and the calcium chloride agent storage tank are respectively connected with the physicochemical first-stage PH regulating tank and the physicochemical second-stage PH regulating tank; the polyaluminum chloride medicament storage tank and the polyacrylamide medicament preparation tank are respectively connected with the physicochemical first-stage coagulation tank and the physicochemical second-stage coagulation tank; the detection assembly is used for detecting the PH value and the fluorine ion concentration; and the controller is connected with the detection assembly, the adding pump and the water inlet pump. The system is low in cost and high in automation degree, and dependence on chemical agents and influence on the environment can be reduced.

The invention relates to the technical field of battery production, and discloses a detection device and method for a wound battery cell, and the device comprises a rack, and a battery cell containing basket, a disassembling mechanism, a conveying mechanism, two groups of pole piece photographing mechanisms, two groups of pole piece cutting mechanisms and an excess material cutting mechanism which are arranged on the rack. The battery cell containing basket is used for containing a to-be-detected battery cell. And the disassembling mechanism is used for separating the positive plate part and the negative plate part of the to-be-detected battery cell, and transporting the two separated parts in two different directions. The conveying mechanism is used for conveying a pole piece of a to-be-detected battery cell to the disassembling mechanism. The two sets of pole piece photographing mechanisms are used for collecting images of the front faces and the back faces of the scanned and separated positive pole pieces and negative pole pieces correspondingly, the two sets of pole piece cutting mechanisms are used for cutting the positive pole pieces and the negative pole pieces correspondingly, and the excess material cutting mechanism is used for cutting the to-be-detected battery cells. The equipment can automatically detect the internal defects of the casual inspection battery cell, so that the detection efficiency is improved, and the probability of missed detection is reduced.

The utility model discloses an automatic detection and blanking device for a columnar drying agent, which comprises a slide way, a feeding mechanism, a bottle conveying mechanism, a feeding position and a discharging position, wherein the slide way is obliquely arranged, the high end of the slide way is connected with the feeding mechanism, the low end of the slide way is connected with the bottle conveying mechanism for stepping a bottle body, the columnar drying agent can be guided to enter the bottle body by sliding, and the feeding position is arranged in the slide way and can contain one drying agent; the material preparation position is arranged in the sliding way and connected to the high end side, close to the sliding way, of the feeding position, one drying agent can be contained in the material preparation position, the first detection module is used for detecting whether the drying agent exists in the feeding position or not, the first driving module is used for limiting the drying agent to be separated from the feeding position, and the second detection module is used for detecting whether the drying agent exists in the material preparation position or not. According to the automatic detection discharging device for the columnar drying agent, automatic detection discharging can be achieved, manual operation is replaced, the production efficiency is improved, and the problems that the drying agent is added too much or too little and the drying agent is damaged manually are solved.

The invention discloses a method for detecting the appearance of a refrigerator door body. The method comprises the following steps that a refrigerator to be detected is conveyed to an acceleration area on a conveying production line; code scanning is carried out, and preset door body detection standard information of the to-be-detected refrigerator stored in the cloud is called; a refrigerator to be detected is positioned and grabbed through an auxiliary positioning detection mechanism, and a plurality of cameras acquire detection image information of the refrigerator to be detected; and the edge end calculates and generates detection output information of the to-be-detected refrigerator, analyzes and compares whether the detection output information and preset door body detection standard information are in a qualified error range, and outputs a detection result. Standard data of door body color, size, door body installation spacing, longitudinal axis and vertical axis flatness can be called through code scanning, fixed position image acquisition is realized through door body positioning grabbing at the edge end, door body real object installation real-time data is calculated, and standard values are compared, so that the accuracy of door body real object installation is improved. Therefore, whether the appearance of the door body is qualified or not can be detected through cloud edge collaboration, image recognition and other modes.