24971 results about "Conveyor belt" patented technology

The invention relates to the technical field of fire early-stage recognition, in particular to a multi-source information-based conveying belt fire early-stage recognition and early-warning system, which comprises a sudden change detection module, a synchronous analysis module, a spatial trend recognition module, a coupling fluctuation screening module and a probability evaluation module. According to the invention, through multi-source information linkage acquisition, collaborative monitoring of parameters such as along-line temperature, smoke, gas, images, load and heat source temperature difference, combined characteristic analysis among parameters and synchronous response trend determination are driven, and active revelation of early risk hidden dangers and dynamic discrimination of spatial distribution consistency and fluctuation continuity are realized. Potential abnormal focusing locking under a high-interference complex working condition is promoted, collaborative fluctuation between a load and a heat source temperature difference further eliminates environmental noise influence, risk weight dynamic adjustment strengthens classification sensitivity of probability identification, fire risk clustering division promotes accurate mastering of distribution of tiny initial hidden dangers, and the probability identification accuracy is improved. And the reliability of fire early warning in a coal mine area conveying belt scene is obviously improved.

The invention provides an aluminum film sealing defect real-time detection method and system based on multi-algorithm fusion, and relates to the technical field of intelligent manufacturing, and the method comprises the steps: triggering an industrial camera at a detection station to collect an original image of a pesticide aluminum film sealing on a conveyor belt; performing adaptive equalization operation on the original image through pixel brightness distribution data, eliminating light fluctuation and surface reflection interference, and outputting a standardized image; three types of defect detection are synchronously executed based on the standardized image, a dynamic threshold segmentation algorithm is combined with local area brightness analysis to detect edge damage, a contour extraction algorithm is adopted to calculate bottleneck center offset to recognize seal offset, wrinkle defects are recognized based on a surface texture feature analysis algorithm, and a primary detection result is output. The aluminum film sealing defect detection method is based on multi-algorithm fusion, has strong anti-interference capability, real-time detection performance and data traceability, and provides an efficient and reliable automatic solution for aluminum film sealing quality management and control.

The invention discloses a visual and three-dimensional modeling luggage automatic identification method, equipment, a medium and a product. The method comprises the following steps: firstly, carrying out dynamic multi-view scanning on luggage entering a scanning area of a conveyor belt to obtain a multi-view image, carrying out deep learning to obtain three-dimensional point cloud data, and fusing the three-dimensional point cloud data with X-ray transmission density data to form a preliminary three-dimensional model; whether the model is complete or not is judged by combining geometric closure and material density continuity, and if not, features are extracted through an adversarial generative network, and occlusion area point cloud data are predicted for complementation; and finally, matching the complementation model features with a dangerous goods feature library, and judging whether the dangerous goods are dangerous goods or not. By implementing the technical scheme provided by the invention, the information of the articles in the luggage can be comprehensively obtained, the complete and accurate three-dimensional model can be constructed, whether the articles are dangerous articles or not can be efficiently and accurately judged, and the efficiency and the safety of aviation security inspection are improved.

The utility model provides a manual hot stamping mechanism which comprises a working table, an unwinding roller, a winding roller and a hot stamping assembly, the hot stamping assembly is located between the unwinding roller and the winding roller, the unwinding roller and the winding roller are both rotationally connected to the working table, and the manual hot stamping mechanism further comprises a conveying belt. The two ends of the workbench are rotationally connected with a first conveying roller and a second conveying roller correspondingly, the conveying belt is tensioned through the first conveying roller and the second conveying roller, the workbench is fixedly connected with a supporting plate, and the supporting plate supports the conveying belt and is located between the conveying belt and the hot stamping assembly. The purpose of conveniently guiding the license plate out of the workbench is achieved.

The invention relates to the technical field of solid waste treatment, in particular to an intelligent waste sorting method based on multi-sensor fusion. Carrying out multi-level fusion decision making: carrying out sewage reflection suppression on the visible light image; carrying out matching identification and rejecting a liquid pollution area based on a near infrared spectrum; fusing the visible light texture, the spectral feature and the electromagnetic signal to generate a space grid feature vector; identifying the material category through a cascade classifier, and dynamically adjusting the weight of each sensor in the decision according to the environmental parameters; self-adaptive sorting execution: triggering a corresponding sorting execution mechanism according to an identification result; based on the transmission belt speed, the execution mechanism response delay and the material physical attribute, the action advance compensation amount is calculated; the action time of an execution mechanism is adaptively prolonged for the stacked materials according to the stacking hierarchy; and online feedback optimization. Through dynamic compensation and time sequence adjustment, the time sequence consistency of multi-sensor data is ensured, and the influence of band speed fluctuation is overcome.

The invention relates to the technical field of agricultural machinery control, in particular to a multi-variety vegetable harvester dynamic identification and feeding control system based on image processing, which comprises an image acquisition module, an environment sensing module, an image processing module, a data fusion module, a dynamic identification and tracking module and a feeding control module. Through binocular stereo vision and millimeter wave radar fusion, three-dimensional space positioning and dynamic tracking of the brassica oleracea corm are realized. Track prediction is carried out in combination with extended Kalman filtering and a long-short-term memory network, and the clamping path of the mechanical arm is optimized; the clamping force is adaptively adjusted through fuzzy PID control, and accurate feeding of the cabbages is achieved in combination with speed control of the conveying belt. The automatic cabbage harvesting machine improves the automation level of cabbage harvesting, effectively reduces the damage rate, improves the operation stability and harvesting efficiency, and is suitable for intelligent harvesting operation of a large-scale cabbage planting base.

The invention discloses a coal conveying belt fault early warning method and system, relates to the field of safety monitoring of coal conveying equipment, and solves the problems of lagging and high false alarm rate of traditional single-parameter early warning. The system comprises a multi-dimensional data acquisition layer, a dynamic feature extraction layer, a belt-material coupling analysis module, a fault judgment layer and an early warning output layer, wherein the acquisition layer acquires parameters such as belt tension, speed, material granularity and weight; noise reduction is carried out on the extraction layer, parameters are normalized, and features are extracted; the coupling module builds a dynamic coupling model to calculate a coupling coefficient, matches a fault feature library and outputs an abnormal signal; determining a layer fault type and a risk level; and the output layer gives early warning information and suggestions. According to the method, the system is applied, belt and material characteristic correlation early warning is achieved through sub-model construction and coupling coefficient calculation, the early warning accuracy and timeliness are improved, and the method is suitable for multiple scenes and low in operation and maintenance cost.

The invention discloses an L-shaped conveyor belt path dynamic planning and congestion prediction system, which relates to the technical field of automatic control, and constructs a conveying path node diagram by collecting material weight, speed and spacing information of each node on a conveying path, and calculates a congestion index of each path section; the method comprises the following steps: combining a light-mass material jumping sensitivity model, identifying a high-risk node and marking the high-risk node as a congestion prediction area, constructing a dynamic optimization model based on path risk distribution and a material flow direction, generating and evaluating a plurality of path adjustment strategies, executing an optimal strategy according to priority, and realizing path speed adjustment, standby path switching and feeding rhythm control; through a feedback mechanism, a strategy effect is evaluated in real time, a path state is updated, operation data is synchronized to a historical database, a learnable conveying operation file is formed, the stability and the intelligent response capability of a conveying system can be effectively improved, and the method is suitable for high-speed sorting and automatic packaging scenes.

The invention relates to the technical field of belt conveyor dynamic characteristic research, in particular to a trailer type belt conveyor dynamic characteristic simulation method, which comprises the following steps: respectively carrying out stress analysis on a trailer frame, each wheel and a conveying belt unit in a trailer unit, and sorting the degree of freedom; establishing an overall coordinate system, a vehicle body coordinate system, a contact coordinate system and a conversion relation; respectively establishing kinetic equations of the wheel pair and the vehicle supporting frame; kinetic parameters of the trailer unit are determined; according to the Hamiltonian principle, a vehicle supporting frame vertical motion equation and a vehicle supporting frame nodding motion equation are established, and then a linear second-order differential equation of a vehicle supporting unit is obtained; and compiling a calculation program by using numerical calculation software, and simulating the wheel-rail vibration characteristics of the trailer unit in the straight-line-segment advancing process. On the basis of the multi-degree-of-freedom multi-body dynamics theory, a trailer type belt conveyor system nonlinear dynamics equation is constructed, and a wheel pair, a trailer frame and a six-degree-of-freedom motion equation for coupling the wheel pair and the trailer frame are analyzed.

When x-ray fluorescence (“XRF”) spectroscopy is utilized to classify materials transported on a moving conveyor belt, there is the possibility of the x-ray beam only partially irradiating the material piece, which can result in the capture of an inaccurate XRF spectrum needed to classify the material piece. This can lead to an improper (erroneous) classification and resultant sortation of material pieces (e.g., aluminum alloys). In a material handling system, the area of the intersections between the x-ray beam spots from an x-ray fluorescence system and the material pieces are measured and correspondingly used to correct the measured XRF spectrum associated with each material piece. The material pieces can then be sorted according to the corrected XRF spectrum.

Drone roosts, storage facilities, and / or drone delivery mailbox systems can be used to aid in drone deliveries and / or drone deployment. A roost can include a top hatch, a conveyor belt, a drone storage wheel with at least one drone storage shelf, and a conveyor door. In some embodiments a roost can include a plurality of trays configured to move along at least one guiderail and store drones. A storage facility can include an outer shell, a top aperture, a cargo delivery hatch, a gantry robot, a conveyor belt, an overhead camera, and / or a backstop. In some embodiments, the storage facility can include a landing tower, a package elevator, a cargo delivery door, and / or a package shuttle. In some embodiments, the storage facility is a circular drone delivery station. In some embodiments, a drone delivery mailbox system can a conveyor belt, a pair of bumpers, and / or a docking clamp.

The invention relates to the technical field of machining and conveying, and discloses a case machining and conveying device which comprises a workbench, conveying tables are symmetrically and fixedly connected to the top of the workbench, two conveying belts are arranged between the two conveying tables in a transmission mode, a plurality of conveying rollers are arranged between the two conveying belts, and the two ends of each conveying roller are rotationally connected with the inner walls of the conveying tables. Placing plates are arranged above the conveying belt and the conveying roller, limiting blocks are symmetrically and fixedly connected to the tops of the placing plates, an inclination assembly and a vibration assembly which are used for driving the placing plates to incline twice are arranged on one side of the conveying roller, the placing plates obliquely rotate towards one side through the inclination assembly, and after chippings on the side completely fall off, the vibration assembly is used for vibrating the chippings on the side. Then inclined rotation is carried out towards the other side, so that the chippings scattered on the surface of the machine box or the placement plate naturally fall off; and through two times of inclination in different directions, it can be ensured that chippings on the surfaces of the case and the placement plate are cleaned more thoroughly.

The invention provides a building waste multi-source information fusion intelligent sorting method and system, and the method comprises the steps: arranging a plurality of different types of sensors on a conveying belt, obtaining multi-source data including a visible light image, three-dimensional information, spectral data, weight and vibration signals in real time, carrying out the Kalman filtering denoising and feature extraction, and carrying out the feature extraction of the multi-source data; carrying out weighted fusion on different modal features by adopting a multi-modal fusion algorithm and combining an attention mechanism to obtain a fusion feature vector; and inputting the fusion feature vector into a classification convolutional neural network, outputting the type and confidence of the construction waste, and controlling a sorting execution mechanism to realize accurate putting based on the confidence. Different wastes such as concrete blocks, metal, wood and plastic can be efficiently identified and sorted in various complex environments, the automatic sorting efficiency and accuracy are greatly improved, and the industrial application value is high.

The invention relates to a packaging defect detection method and system, and the method comprises the steps: S1, obtaining the size information of packaging bags and the interval information of adjacent packaging bags through an area-array camera and a photoelectric sensor in combination with a multi-scale template matching method; s2, delay time of a conveying belt is calculated, and it is ensured that the distance between adjacent packaging bags is larger than a set value; s3, triggering a line scanning camera to shoot an image of the packaging bag, and collecting the vibration frequency; s31, performing motion compensation correction on the image by adopting an improved optical flow method; s32, inputting the corrected image into a forward propagation network based on an improved OfficientViT model, wherein the model comprises a multi-scale linear attention module and an SPP-ELan module; s33, the images are classified, if the classification result is that the bags are not packaged, the unpackaged bags are grabbed through a grabbing robot, and if it is determined that the bags are not packaged based on a classification confidence coefficient threshold value, the unpackaged bags are removed; and S34, inputting the defect image into an improved ACGAN network for data enhancement, wherein the network comprises a CMFNet denoising module based on a U-Net architecture. The method and the system can monitor and identify the packaging defects on the production line in real time, improve the accuracy and the efficiency of inspection, and reduce the labor cost.

The invention belongs to the technical field of laser measuring devices, particularly relates to a steel structure building fireproof coating thickness laser measuring device, and aims to solve the problems that an existing fireproof coating thickness laser measuring device is single in use function and can only be used for detecting the thickness of fireproof coatings on the upper face and the lower face of a steel structure building. According to the technical scheme, the thickness detection device comprises a tool bottom plate, two tool supporting plates are arranged above the tool bottom plate, rotating shafts are arranged on the opposite sides of the two tool supporting plates, the outer portions of the two rotating shafts located on the same side are connected with the same conveying belt, and the conveying belt is connected with the tool bottom plate. And the same building steel structure body is arranged above the two conveying belts. The steel structure building fireproof coating thickness laser measuring device disclosed by the invention has the effects that the thickness of a special-shaped building steel structure fireproof coating can be conveniently detected, and the applicability of the detection device is improved.

The invention relates to the technical field of spraying, in particular to a spraying device for combined wardrobe production and a spraying method thereof.The spraying device comprises a spraying mechanism, an adjusting mechanism and a turbulent flow mechanism, the spraying mechanism comprises a spraying room, the upper end of the spraying room is fixedly connected with a conveying belt, and lifting hooks are evenly distributed at the lower end of the conveying belt; the lower ends of the lifting hooks are connected with cabinet body hole plates in a hanging mode, movable bases are arranged on the front side and the rear side of the spraying room, driving bases are fixedly connected to the two ends of the sides, close to the cabinet body hole plates, of the upper ends of the movable bases, and the ends, close to the cabinet body hole plates, of the driving bases and the driving ends are fixedly connected with connecting frames. According to the spraying device, spraying can be conducted in the S shape through the spraying head, the surface of a workpiece is more comprehensively and evenly covered with paint particles, it is guaranteed that the vertical edge of a hole of a cabinet hole plate is evenly sprayed, the spraying head swings up and down in the reciprocating movement process, and then the transverse edge of the hole of the cabinet hole plate is evenly sprayed.

A batching scale for a feed processing production line belongs to the field of feed production and comprises a weighing cylinder, a discharge conveying belt is mounted at the bottom of the weighing cylinder, and a discharge port corresponding to the discharge conveying belt is formed in the outer wall of one side of the weighing cylinder in a penetrating manner. Through cooperation of the weighing plate and the weighing sensor, the feed falls down, the weighing plate descends to measure the weight, meanwhile, the fixed rod and the pull rope drive the intercepter plate to rotate and shrink the feed port, the feed is rapidly discharged to guarantee the efficiency, the feeding speed is slowed down when the target weight is approached, the excess error is reduced, the accuracy and the efficiency are both considered, and meanwhile the intercepter plate is closed after weighing is completed. The weighing sensor sends a signal, the driving motor drives the weighing plate to turn over and discharge materials, the weighing plate ascends and resets, residues on the inner wall of the weighing cylinder are scraped during next weighing, formula mixing is prevented, in addition, during next weighing, the weighing plate descends to extrude the scraping plate, residues on the stacking surface are evenly scraped under the cooperation of the scraping knife and the sliding block, and the production efficiency is improved. The weighing and discharging total quantity accuracy of each time is ensured, and the weighing accuracy of the device is improved.

The invention belongs to the technical field of inspection and extraction, and particularly relates to an automatic T lymphocyte suction device which comprises an automatic suction device body, the automatic suction device body comprises a bearing table, a rotating disc with a circumferential rotating function is arranged on the bearing table, and a plurality of centrifugal assemblies are evenly distributed on the rotating disc. A centrifugal tube feeding assembly facilitating feeding of centrifugal tubes is arranged in front of one side of the bearing table, a tube carrying and conveying assembly is arranged on the portion, located on one side of the centrifugal tube feeding assembly, of the bearing table, a tube feeding mechanism is arranged at the end of the conveying belt mechanism, and a reaction reagent adding assembly is arranged on one side of the tube carrying and conveying assembly. A sample feeding assembly is arranged on one side of the upper portion of the workbench, and a first suction assembly is arranged above the multi-direction adjusting assembly. According to the invention, multiple samples can be processed in batches, the working efficiency and the cell extraction purity are improved, the influence of manual operation on the result is reduced, the accuracy of the detection effect is ensured, and the use requirements are met.

The invention provides a PCB positioning and multifunctional testing integrated device based on visual identification. The device comprises an integrated controller, an image processing unit, a visual identification unit, a PCB positioning unit, a PCB testing unit and a mechanical arm control unit. The image processing unit fuses the initial PCB images at different acquisition angles to obtain a fused PCB image; the visual identification unit determines the mark position of the positioning mark in the fused PCB image; the PCB positioning unit converts the initial attitude information and the initial position information to a world coordinate system according to a conversion relation between the image coordinate system and the world coordinate system to obtain target attitude information and target position information of the PCB in the world coordinate system; the PCB testing unit is used for carrying out multifunctional testing on the PCB; and the mechanical arm control unit conveys the PCB to the next process through the conveying belt. According to the invention, the positioning accuracy of the PCB and the testing efficiency of the PCB are improved.

The invention discloses an intelligent monitoring system for a coal conveying trestle belt, and the system comprises a data collection module which is used for collecting the image of the coal conveying belt and measuring the thickness distribution data of coal dust on the surface of the belt in real time, and obtaining a time sequence video stream and a coal dust thickness matrix of the coal conveying belt; the dynamic reference module is used for extracting a static belt structure according to the time sequence video stream to obtain an initial reference feature map as a belt reference image without coal dust interference; the coal dust sensing and coding module is used for inhibiting high-shielding area feature response according to the coal dust thickness matrix and coding the belt image of the current frame to obtain a feature map of the current frame; the dynamic difference analysis module is used for performing difference analysis according to the current frame feature map and the belt reference image to obtain an abnormal area; according to the method, high-definition imaging of the surface of the belt and stable extraction of abnormal characteristics can be realized in a complex environment of dynamic shielding of coal dust and nonlinear attenuation of optical signals.

Devices and methods of harvesting textile hemp are presented. The methods comprise mowing the hemp and wherein the cut stems are held between crossed conveyor belts and then rotated 90° from vertical to horizontal, taken over one or more times by other belts, to be deposited in parallel swaths on the field.

The invention relates to the technical field of image processing, in particular to a food production line cleanliness monitoring method and system based on machine vision. The method comprises the steps of obtaining a Lab image of a to-be-detected conveyor belt of a food production line, determining an abnormal score value of a target pixel point in the Lab image, and constructing a data item edge weight of an energy function according to the abnormal score value of the pixel point in the Lab image; determining a periodic displacement amount of a periodic structure of the Lab image in the motion direction of the conveyor belt to be detected, and determining a periodic consistency factor of adjacent pixel pairs according to the periodic displacement amount; according to the method, a data item edge weight of an energy function is established, a smooth item edge weight of the energy function is established according to texture features and a period consistency factor, the energy function is established by using the data item edge weight and the smooth item edge weight, segmentation enabling the energy function to be minimized is performed on the Lab image, and a cleanliness monitoring result can be determined according to the minimum value of the energy function. According to the technical scheme, the cleanliness of the conveying belt of the food production line can be automatically monitored.

The invention relates to the technical field of intelligent control systems, and discloses a multifunctional embedded intelligent cleaning control system which comprises a control execution layer, an internet-of-things transmission layer and a decision analysis layer. The control execution layer comprises an intelligent variable-frequency scraping device, a wind-water sweeping device and the like and executes sweeping and dust removal operation; the Internet of Things transmission layer realizes data interconnection and transmission through an edge computing node, a protocol conversion gateway and the like; and the decision analysis layer adopts a time sequence data analysis and convolutional neural network algorithm, dynamically optimizes the cleaning operation model, constructs a multi-dimensional linkage cleaning control strategy model, and realizes cleaning intensity adjustment, air and water parameter cooperative control and dust removal efficiency dynamic optimization. According to the system, through multi-technology fusion and collaborative optimization, the intelligent, precise and efficient level of sweeping operation is improved, the system is suitable for a conveying belt sweeping scene, the sweeping efficiency can be improved, equipment loss and dust emission can be reduced, and remarkable economic benefits and environmental protection benefits are achieved.

The invention discloses an automatic feeding and discharging device of a continuous heating furnace, and relates to the technical field of industrial heat treatment equipment. An automatic feeding and discharging device of a continuous heating furnace comprises two first transmission rollers rotationally connected to a feeding port and a discharging port of a furnace body, and further comprises a conveying mesh belt connected to the two first transmission rollers in a sleeving mode; the first motor is fixedly connected to one side of the furnace body; through cooperative operation of the conveying net belt and the conveying belt with the jacking columns, dynamic adjustment of the jacking frequency and precise synchronous control are combined, the contact area of a workpiece and the conveying belt is effectively reduced, bottom thermal compensation is achieved through the heat conduction jacking columns, and meanwhile through integrated control of an automatic adjustment system and the waste heat recovery device, the waste heat recovery efficiency is improved. The problems that traditional equipment is uneven in heating, high in energy consumption and frequent in maintenance are solved, and the device has the advantages that the workpiece heating uniformity is improved, the service life of the device is prolonged, energy consumption is reduced, and intelligent dynamic regulation and control are achieved.

The invention relates to the technical field of laser image detection, and particularly discloses a belt tearing laser scanning detection device and a belt longitudinal tearing laser detection method. The belt tearing laser scanning detection device comprises an ellipsoidal carrier roller, laser equipment and visual equipment, the outer surface of the ellipsoidal carrier roller is an arc-shaped surface, a belt is tensioned and wound around the arc-shaped surface, and the laser equipment is fixedly arranged in the mode that laser faces the ellipsoidal carrier roller and can irradiate the belt. The visual equipment is fixedly arranged in the mode that the visual field faces the ellipsoid carrier roller and the belt is in the visual field, the structural arrangement can reconstruct the carrying working state of the belt, the tearing characteristic of the belt in the carrying state is highlighted, and the belt longitudinal tearing laser detection method is more suitable for long-distance conveying belt longitudinal tearing detection; and the method has higher detection accuracy.

The invention discloses a magnetic core assembling device and an assembling method thereof, and relates to the technical field of magnetic core assembling equipment.The magnetic core assembling device comprises a case and a mounting table arranged on one side of the upper end face of the case, a synchronous conveying belt is arranged on the mounting table, and a plurality of positioning die holders used for containing magnetic core frameworks are evenly connected to the surface of the synchronous conveying belt at intervals; the machine box is provided with a feeding assembly used for placing a magnetic core framework into the positioning die holder, magnetic core feeding vibration discs are arranged on the two sides of the upper end face of the mounting table correspondingly, and arc-shaped feeding channels are formed in the magnetic core feeding vibration discs. According to the automatic gluing device, automatic gluing operation on the butt joint faces of the magnetic cores can be achieved while pressing is conducted through the arranged gluing assembly, meanwhile, the gluing action, the magnetic core inserting action and the magnetic core framework feeding action are driven by the linkage arm serving as a connecting piece, the corresponding actions are completed, control over the device is simpler, and the production efficiency is improved. And the failure rate of equipment is effectively reduced.

The invention discloses double-face longitudinal submerged arc welding steel pipe manufacturing equipment, and relates to the technical field of longitudinal submerged arc welding, the double-face longitudinal submerged arc welding steel pipe manufacturing equipment comprises a base and a storage rack, the top of the base is provided with two second sliding rails and two walking mechanisms, the tops of the two walking mechanisms are fixedly connected through a portal frame, and the inner side of the portal frame is provided with a welding flux recycling structure; the welding flux recycling structure comprises a hollow storage box, the hollow storage box is fixedly connected with the portal frame through a plurality of mounting frames, two notches are formed in the inner side of the hollow storage box, a conveying belt is arranged in the hollow storage box, and a sawtooth belt is fixedly connected to the outer portion of the conveying belt. And a motor I is arranged outside one mounting frame. By means of the double-face longitudinal submerged arc welding steel pipe manufacturing equipment, the problem that welding flux or welding slag pieces cannot be completely recycled can be solved, and meanwhile the problem that two end areas of a steel pipe need secondary supplementary welding can be solved.

The invention discloses a warehouse AGV path planning method based on an improved wolf pack algorithm, and the method comprises the steps: a central control system receives tasks in a unified manner, builds a task table, and carries out the priority sorting of the tasks through a task value evaluation function; according to the task information in the task table and the state of each AGV, distributing the task to the AGV which meets the task condition and is closest to the task point; a map model is initialized, a central control system plans an optimal or suboptimal path for getting goods at a designated position according to task information and path conditions of a warehouse and selecting distribution of the goods on a goods conveying belt, and if the AGV conflicts with other AGVs in the path, avoidance is carried out according to a conflict avoidance rule. According to the invention, through improvements in multiple aspects such as dynamic path planning, multi-AGV collaborative optimization, energy management, real-time path updating and effective collision avoidance strategies, the operation efficiency, the task completion rate and the safety of the warehouse AGV system are significantly improved.

An inline inspection system for a stamping part (100), a visual inspection device (2), and an inspection method and apparatus. The system is used for inspecting the stamping part (100) moving on a conveyor belt (1); and comprises: the visual inspection device (2), a first position detection device (3), and a control device. The visual inspection device (2) comprises: a follow-up mechanism (21), a camera mechanism (22), and a first controller. The first controller is used for controlling the follow-up mechanism (21) when the stamping part (100) enters the photographing range of the camera mechanism (22), so that the camera mechanism (22) can move synchronously with the stamping part (100); controlling the camera mechanism (22) to acquire an image of the stamping part (100) in the process of moving synchronously with the stamping part (100); and inspecting the stamping part (100) on the basis of the acquired image to obtain an inspection result. The first position detection device (3) is used for detecting the position of the stamping part (100) on the conveyor belt (1). The control device is used for receiving the inspection result sent by the first controller. Inline inspection of the stamping part (100) moving along with the conveyor belt (1) on the production line of the stamping part (100) is implemented.

The invention relates to the technical field of intelligent manufacturing, in particular to a fur processing laser cutting machine and an intelligent control system and a cutting method thereof. The fur processing laser cutting machine comprises a rack, a material transferring mechanism, a negative pressure stabilizing device, a laser cutting mechanism and an intelligent control device, the material transferring mechanism is arranged in the feeding direction of the rack and comprises a fur preprocessing part and a net-shaped conveying belt, the negative pressure stabilizing device is arranged below the net-shaped conveying belt, and the laser cutting mechanism is arranged below the negative pressure stabilizing device. The laser cutting mechanism is erected on the machine frame and located above the net-shaped conveying belt, and the intelligent control device cooperates with the control focus depth and the cutting path of a laser beam based on the fur thickness and deformation data. By optimizing cooperative work of the fur feeding system, the fur pretreatment part, the negative pressure stabilizing device and the intelligent control system of the laser cutting machine, the defects of an existing fur processing laser cutting machine in the aspects of cutting precision and wool stability are overcome.