1977results about How to "Reduce defective rate" patented technology

The invention provides a method and system for analyzing defects in wafer manufacturing based on big data, and relates to the technical field of big data, and the method comprises the steps: collecting technological parameter information, defect scanning images and manufacturing process data information, and carrying out multi-scale feature pyramid network processing and fusion to obtain fusion features; the fusion features are analyzed through a deep learning network, the deep learning network adopts a multi-task learning framework to complete a defect classification task, a defect segmentation task and a defect evolution prediction task at the same time, consistency loss based on graph matching is introduced, and a defect type recognition result and a feature map of defect space distribution are obtained; based on the characteristic spectrum, when it is detected that the process parameters are abnormal, analyzing historical defect data by using a graph neural network containing a time sequence attention mechanism; technological parameter constraint conditions are set in combination with an expert knowledge base, and technological parameters are adaptively adjusted through a reinforcement learning method. According to the invention, the accuracy of defect detection and classification is improved.

The invention discloses an industrial product quality detection method and system based on machine vision, and relates to the technical field of quality detection.During operation of the system, through an industrial camera and an optimized light source layout, high-resolution image acquisition is performed on electronic components in real time by adopting multi-angle shooting, a series of optimization processing is performed on the acquired images, and the quality of the electronic components is detected. The method comprises the following steps: extracting shape, texture and color features according to geometric characteristics of an electronic component to form key parameters for judging defects, identifying potential defects of the electronic component by using a deep learning model algorithm, calculating to obtain a quality evaluation index Q, and calculating the quality evaluation index Q according to calculation results of feature extraction and defect detection. And comprehensively evaluating the quality of each component, comparing the quality evaluation index Q with a first preset threshold value M and a second preset threshold value N to obtain a quality evaluation grade, feeding unqualified detection information back to a production line, and removing unqualified components.

The invention provides an electromagnetic-assisted nickel-based alloy laser melting deposition crack inhibition method and system, relates to the technical field of automatic control, constructs an intelligent control system, carries out deep fusion and real-time prediction on multi-source heterogeneous sensing data, generates a prediction result, sets a reward function and an action-value network, and improves the performance of the nickel-based alloy laser melting deposition crack inhibition system. Solving to obtain an optimization control strategy and analyzing and outputting the optimization control strategy; and constructing a three-dimensional electromagnetic field distribution matrix. In combination with real-time feedback of the shape of the molten pool, the molten pool is stimulated to flow directionally and oscillate non-linearly according to the resonance effect, oscillation parameters are obtained, thermodynamic behaviors corresponding to the molten pool are predicted according to the oscillation parameters, and a thermodynamic prediction result is fed back to the central control unit; the method comprises the following steps: detecting the surface appearance of a part, extracting defect characteristic parameter vectors, inverting defect influence factors, generating a dynamic regulation and control curve, dispersing the dynamic regulation and control curve into multi-dimensional control instruction vectors, updating a preset regulation and control model, outputting optimized regulation and control model parameters, and carrying out crack suppression operation again.

The invention discloses a semiconductor defect classification and prediction method using a deep learning algorithm, and the method comprises the following steps: S1, collecting image data and manufacturing process parameters in a semiconductor manufacturing process through a multi-modal sensor, and generating a multi-dimensional data set; s2, preprocessing the data set; s3, constructing and training a deep learning model in which a convolutional neural network and a long-short-term memory network are combined, and automatically detecting and marking a defect region; s4, classifying the defects by adopting a quantum convolutional neural network in combination with a Hash embedding algorithm; s5, performing defect prediction based on historical data and real-time process parameters through a chaotic time sequence prediction network; s6, dynamically adjusting the model structure through the self-adjusting neural network, and maintaining the detection and prediction capabilities; and S7, adopting a reinforcement learning strategy to carry out adaptive optimization on the model. The method can improve the accuracy and prediction precision of semiconductor defect detection, is suitable for different manufacturing environments, and effectively reduces the defective product rate and production loss.

The invention discloses an industrial part defect traceability method, and relates to the field of quality prediction and quality traceability of industrial parts, and the industrial part defect traceability method comprises the following steps: obtaining defect data of the industrial parts; performing classification prediction on the preprocessed defect data based on a sequential logic regression tree model, and generating influence factors of process parameters on part defect formation in the industrial part production process based on a classification prediction result; constructing a causal graph database based on the influence factors of the process parameters on part defect formation, and performing causal graph modeling on industrial part defects to obtain an industrial part defect causal graph; and constructing a quality traceability model based on the industrial part defect causal graph, and performing quality traceability on the defect path by using the quality traceability model. According to the invention, the quality management efficiency and accuracy of industrial part production are improved, and the problem source can be quickly and accurately traced.

The invention discloses a high-precision industrial quality control system based on an AI large model and an application method, which are characterized by being applied to detection and measurement of industrial products. Comprising a product data acquisition module in an industrial production process, a data preprocessing module, an AI large model suitable for industrial quality control, a quality detection module, a result feedback and decision support module, a control module and a system management module, the application of the AI large model suitable for industrial quality control comprises the steps of constructing the AI large model suitable for industrial quality control, calling the AI large model suitable for industrial quality control, executing the control system, carrying out multi-modal data fusion, and carrying out multi-modal data fusion. The product data acquisition module in the industrial production process acquires data of multiple modes for quality detection and measurement, the AI large model suitable for industrial quality control adopts a data fusion algorithm, and the feedback module provides a visual detection result. And visually displaying the detected quality problem to a user in the form of an image and a chart.

The invention provides a mold injection control method and device for electric toothbrush plastic molding, and relates to the technical field of plastic injection molding.The method comprises the steps that geometric data of an electric toothbrush and physical performance data of a plastic part are obtained, and an electric toothbrush mold model is initialized; initializing particle swarm parameters, performing material flow path optimization, and performing iteration to obtain an optimized mold model; injection molding simulation is conducted, and mold injection molding performance influence parameters are obtained; constructing an injection molding control strategy library, and performing matching retrieval to obtain a matched injection molding control strategy; selecting interval division is conducted, and a mold injection molding control strategy parameter interval is obtained; constructing a fitness function; global optimization is carried out, target mold injection control strategy parameters are determined, and mold injection control over electric toothbrush plastic forming is carried out. The technical problems that in the prior art, injection molding parameter optimization is always started after mold manufacturing is completed, and control parameters are adjusted through trial and error, so that cost is high, and efficiency is low are solved.

A buffering hardware hinge outside a cup comprises a hinge cup and a hinge arm, the hinge cup and the hinge arm are connected in a hinged mode through an upper connecting rod and a lower connecting rod, a guide groove penetrating through a body is formed in the bottom of the hinge cup, and a driving plate is installed at the outer bottom of the hinge cup in a covering mode; a sliding block is arranged on the top of the driving plate and installed in the guide groove in a sliding mode. The end, facing the hinge cup, of the upper connecting rod extends outwards to form a driving arm, and when the hinge is closed, the driving arm acts on the sliding block to push the sliding block to slide in the guide groove; a buffer is fixedly mounted at the outer bottom of the hinge arm, a piston rod or a cylinder body part of the buffer is connected with the driving plate, and the buffer has a damping effect on the movement of the driving plate, so that the damping effect when the hinge is closed is realized. The device has the beneficial effects that the buffer is installed outside the hinge arm, through the design of the guide groove and the driving plate, the external space is effectively utilized, and the problem that the internal space is limited is avoided.

The invention relates to the technical field of industrial automation, in particular to an intelligent control method and system for a shoemaking production line, and the method comprises the following steps: based on a shoemaking three-dimensional design model, recognizing size parameters of a plurality of sizes by analyzing the design size and shape of shoes, adjusting the production parameters of the plurality of sizes, and generating multi-size production parameter configuration. According to the method, the production parameters of various sizes are adjusted according to the design model of the shoe, so that the production line flexibly meets the production requirements of multiple sizes of products, production delay and resource waste caused by mismatching of specifications are reduced, the utilization rate of raw materials is increased through real-time image data collection and defect detection, material waste in the cutting process is reduced, and the production efficiency is improved. The system analyzes production parameters and material consumption, predicts material requirements, responds to market changes in real time, optimizes inventory management, reduces the defective product rate in combination with automatic quality monitoring, improves the energy efficiency of a production line by analyzing and optimizing energy consumption, and supports sustainable production and environmental protection.

The invention relates to a casting defect diagnosis and optimization system based on an artificial intelligence large language model. The system combines an Internet of Things sensor, computer vision, real-time data analysis, global data integration and a large language model (such as Festival Starry, oneself, Tonyuan and GPT-4) in artificial intelligence to realize real-time monitoring, diagnosis, prediction and process optimization of defects in the casting production process. The system comprises a plurality of modules, wherein a real-time data acquisition module is responsible for acquiring production parameters; the knowledge base and global data integration module learns defect data and production cases of the global casting industry through a large language model, and constructs a dynamically updated knowledge base; the vision and text analysis module performs defect identification and root cause analysis in combination with the image and text data; the predictive diagnosis and prevention module predicts potential defects and gives out early warning by analyzing production data in real time; the generative process optimization module is combined with a simulation tool to generate optimal process parameters, and defects are reduced; and the real-time monitoring and feedback module automatically adjusts production parameters to ensure the stability and high quality of the production process. Through the cooperation and knowledge sharing module, the system can share data with global casting enterprises and experts, and the self-learning ability of the system is improved. The intelligent level of casting production is greatly improved, the defect occurrence rate is effectively reduced, and the production efficiency and the product quality are improved.

The invention relates to the technical field of ring piece rolling, and discloses a large special-shaped ring piece rolling forming process analysis method which comprises the following steps: (1) forge piece and blank design: designing different types of blanks; (2) material characteristic modeling: establishing a material model meeting rolling conditions; (3) finite element model establishment: establishing a geometric model of a rolling process by utilizing finite element analysis software; (4) rolling process scheme design: designing a plurality of rolling process schemes; (5) process simulation and defect prediction: analyzing strain, stress, temperature field and metal flow conditions in the simulated rolling process, and analyzing defect generation conditions; and (6) real-time monitoring and feedback control: monitoring changes of stress, strain and temperature in real time, and automatically adjusting process parameters. And through dynamic material characteristic modeling, a self-adaptive grid division technology and multi-physical field coupling analysis, the analysis accuracy of the rolling process is improved, so that defect prediction is more accurate, and the quality of finished products is improved.

The invention provides an intelligent control method for improving the forming efficiency of an injection mold, and relates to the technical field of injection molding control, and the intelligent control method comprises the following steps: performing mold flow analysis through initial experiment parameters, and configuring an initial experiment parameter range; the quality index factor parameters are executed in an experiment to obtain quality index experiment response, and an optimal experiment parameter combination is obtained; constructing a quality index prediction model; constructing an initial population to perform explosion search; acquiring a quality index production response according to the optimal process parameter combination, performing deviation analysis on the quality index production response and the quality index prediction response, and adjusting the optimal process parameter combination; and injection mold forming is controlled based on the actual process parameter combination. By means of the method and device, the technical problems that in the prior art, parameter setting depends on artificial experience, and interaction of multiple parameters is difficult to effectively optimize can be solved, the technical purposes of optimizing the injection molding process parameters and dynamically adjusting the parameters are achieved, and the technical effect of improving the production efficiency is achieved.

The invention discloses a multi-stage temperature accurate control method based on a neural network algorithm, relates to the field of oven temperature control, and particularly comprises the steps of setting a final target temperature # imgabs0 #, and dividing a heating process of heating to the final target temperature # imgabs1 # into a rapid temperature rise stage, a temperature rise control stage and an accurate temperature control stage, an intermediate target temperature # imgabs2 # is set in each stage so as to gradually approach the final target temperature # imgabs3 #; according to the established oven system model, the influence of different intermediate target temperatures # imgabs4 # on temperature response is analyzed, and a proper intermediate target temperature # imgabs5 # combination is found; the heating temperature # imgabs6 # of the heating wire and the temperature # imgabs7 # in the oven are detected in real time through a temperature sensor, and then segmented control is conducted; through segmented control, the temperature rise rate and control precision of each stage are optimized, overshoot is reduced, the response speed is increased, the target temperature is gradually approached, and temperature overshoot caused by one-time large-amplitude temperature rise is avoided.

The invention discloses an assembling device for an extracorporeal circulation blood path attached tube, which comprises a production line, and a conveying device for clamping a catheter and driving the catheter to move forwards is arranged on the production line. The assembling device further comprises an automatic catheter feeding and cutting device, an automatic flow stopping clamp feeding and assembling device, a flow stopping clamp detecting device, a catheter gluing device, an automatic female needle base feeding device, an automatic antibacterial cap feeding and assembling device, a visual detecting device and an automatic discharging device which are sequentially arranged in the moving direction of the production line. The device has the beneficial effects that cutting, feeding and automatic conveying of the guide pipe in the extracorporeal circulation blood path attached pipe are achieved, a flow stopping clamp, a mother needle base and an antibacterial cap are sequentially assembled at a corresponding assembling station, after part of stations are assembled, automatic detection can be carried out, inferior-quality products, waste products and the like are prevented from entering the next working procedure, and after assembling is completed, the production efficiency is greatly improved. And the extracorporeal circulation blood path attached pipes can be automatically discharged and conveyed, and automatic machining of the extracorporeal circulation blood path attached pipes is achieved.

The invention discloses a stamping device for ferrous metal smelting and a stamping method of the stamping device, and relates to the technical field of stamping machining equipment.The stamping device comprises a bottom plate and side plates symmetrically fixed to the two sides of the top of the bottom plate, the top ends of the side plates are fixedly connected with a top plate, and the stamping device further comprises an adjusting assembly arranged in the middle of the bottom of the top plate; the adjusting assembly comprises a pressurizing air cylinder. The clamping assemblies are symmetrically arranged on the inner sides of the side plates, and each clamping assembly comprises a fixing sleeve and a connecting rod; one end of the connecting rod is fixedly connected with the fixing sleeve, the other end of the connecting rod is fixedly connected with a vertical rack, the middle of the inner side of the side plate is fixedly connected with a limiting sleeve, the vertical rack is slidably connected with the limiting sleeve, and the lower portion of the inner side of the side plate is rotatably connected with a lead screw. The problems that the extrusion force of the upper pressing plate is prone to being uneven in the stamping process, so that when the stamping speed is too high, stamped black metal is uneven in depth, deep or shallow, and the stamping efficiency and the qualified rate of products are affected are solved.

The invention provides a process window optimization method and device, a medium, a program product and a terminal, and solves the problems of low light intensity contrast ratio, limited process window and high finished product defect rate of weak point and dead pixel areas through an objective function optimization and numerical programming solution method. And establishing a reasonable optimization model by taking the sum of squares of light intensity logarithmic slopes of weak and dead pixel areas as an optimization target and combining an edge section moving range, an edge position error and mutual influence factors. And meanwhile, a plurality of matrix methods such as a sparse matrix and a dense matrix are introduced, so that the optimization efficiency and precision are improved, the accurate optimization of the mask pattern is realized, the process window is expanded, the defect rate is reduced, the process stability and adaptability are enhanced, and the production efficiency and the product quality are remarkably improved.

The invention discloses a copper pipe cutting machine, and relates to the technical field of cutting machines, the copper pipe cutting machine comprises a machine tool, the middle of the machine tool is fixedly connected with a fixing frame, the top of the fixing frame is fixedly connected with a motor, an output shaft of the motor is fixedly connected with a first gear, the interior of the fixing frame is rotatably connected with a clamp, and the outer surface of the clamp is fixedly connected with a first gear ring; a clamping jaw is slidably arranged on the right side of the clamp, and a strip-shaped shell is fixedly connected between the left side of the fixing frame and the machine tool. The horizontal concentric positions of the stabilizing rings and the clamp are kept, the horizontal concentric positions of the stabilizing wheels and the clamp are also kept, rotation of the copper pipe can be kept stable through rolling, abutting and supporting of the stabilizing wheels on the copper pipe, and therefore the situation that due to the fact that the copper pipe is inclined, a cutter cannot evenly cut the copper pipe is reduced. And the copper pipe can be prevented from being impacted by the copper pipe, so that the service life of the cutting knife is prolonged.

The invention relates to the technical field of hub manufacturing friction stir welding, in particular to a hub manufacturing friction stir welding device which comprises a supporting table, a supporting disc is movably mounted at the top of the supporting table, a clamping assembly is mounted at the top of the supporting disc, and a hub is fixedly mounted at the top of the supporting disc. The clamping assembly is located on the inner wall of the inner ring of the hub, a rotating assembly is installed between the supporting table and the supporting disc, an electric push rod is fixedly installed on the side, away from the supporting disc, of the top of the supporting table, a first supporting block is fixedly installed on the top of the electric push rod, and a second supporting block is movably installed at the front end of the first supporting block. And the top of the second supporting block is fixedly connected with a second mounting block. According to the hub welding device, a hub can be effectively fixed by arranging the clamping assembly, the hub can be conveniently rotated by the rotating assembly, a device for friction stir welding and collecting chippings is arranged, and the hub welding quality, efficiency and environmental friendliness are improved.

A laser cutting machine for metal plate cutting relates to the technical field of laser cutting machines and comprises a horizontally-arranged cutting table, a receding groove and a sliding U-shaped plate are sequentially arranged at the top of the cutting table in the length direction of the cutting table in a penetrating mode, the sliding U-shaped plate is horizontally arranged in a sliding mode, and a three-axis module is arranged at the position, above the receding groove, of the top of the cutting table. The laser cutting gun is installed on the three-axis module, a plurality of supporting rollers are horizontally arranged in the sliding U-shaped plate side by side, the two ends of each supporting roller are correspondingly and rotationally connected with the opposite inner walls of the sliding U-shaped plate, a horizontally-arranged partition plate is fixedly arranged on the inner wall of the avoiding groove, and a transferring assembly is arranged at the bottom of the partition plate. A discharging assembly and a fixing box are arranged on the left side and the right side of the partition plate correspondingly. The problem that cut finished products in kerfs of an existing laser cutting machine are difficult to take out is solved. And when cutting scraps are cleaned, shutdown disassembly operation is needed. And the positioning accuracy of the cutting area is low. And the post-treatment process of the cutting excess materials is tedious.

The utility model relates to the field of automobile manufacturing, in particular to an automobile head anti-collision beam bending forming tool which comprises a product upper portion pressing mechanism and a support, a rotating shaft is arranged in the middle of the support, the rotating shaft and a swing block are coaxially fixed, and a swing block sliding seat is fixed to the portion, on the upper side of the rotating shaft, of the support. Reset tension springs are connected between the two sides of the swing block sliding seat and the corresponding lower swing blocks, and lower pressing plates are fixed to the bottom faces of the swing blocks. The lower product forming die is matched with the upper product pressing mechanism, is of an arc-shaped structure and is mounted on the die fixing seat, and a fixed product is mounted on the surface of the upper product pressing mechanism; according to the device in the prior art, as positioning or clamping mechanisms are not arranged in the middle and on the two sides of a product during machining, the middle of the product is prone to concave or convex deformation when the product is bent; the problem that the product is unqualified due to the fact that the processing parts on the two sides of the product are prone to asymmetric bending deformation is solved; and the problem that the adjustability is poor due to the fact that processing detail parameters cannot be adjusted by a pressing block is solved.

The invention discloses an edible mushroom cultivation device, and relates to the technical field of agricultural planting, the edible mushroom cultivation device comprises two bases and a greenhouse frame, the greenhouse frame is fixedly connected to the upper surfaces of the two bases, a moving assembly is arranged on the bases, and the moving assembly comprises rails fixedly connected to the upper surfaces of the two bases; and four symmetrical moving plates are slidably connected to the two sides of the rail, four moving wheels are rotatably connected to the inner side of each moving plate, a moving block is fixedly connected between every two opposite moving plates through bolts, and a framework is fixedly connected to the tops of the moving blocks. Edible mushrooms are irrigated by moving and spraying on the framework, the situation that the load of a greenhouse frame is increased due to the fact that a spraying device needs to be arranged on the greenhouse frame in the prior art can be avoided, then the greenhouse frame is prevented from collapsing due to too large pressure, and the spraying device can be conveniently moved to the position where maintenance is convenient through the independent framework; and the maintenance difficulty and time cost are reduced.

The invention provides a manufacturing method of a space converter of a probe card. The manufacturing method comprises the following steps: sequentially forming a titanium layer and a first copper layer on the upper surface of a ceramic substrate; forming a first circuit pattern on the upper surface of the first copper layer; forming a second copper layer on the first circuit pattern; removing the titanium layer and the first copper layer except the titanium layer below the second copper layer; sequentially forming a nickel layer and a first gold layer on the upper surface of the structure; forming a polyimide layer on the upper surface of the structure; removing the polyimide layer on the upper surface of the target position of the first gold layer to form a second circuit pattern; forming a first nickel-cobalt alloy layer on the second circuit pattern, and then forming a third circuit pattern; forming a second nickel-cobalt alloy layer on the third circuit pattern, and then forming a fourth circuit pattern; forming a second gold layer on the fourth circuit pattern; and removing the photoresist to obtain the space converter. According to the manufacturing method of the space converter of the probe card, the installation position of the probe can be accurately adjusted, and the alignment precision of the probe is improved.

The invention provides microcrystalline cast stone and a preparation method and application thereof. According to the preparation method of the microcrystalline cast stone, adopted raw materials comprise 35-70 wt% of vanadium-titanium magnet tailings; wherein the content of TiO2 in the vanadium-titanium magnet tailings is not lower than 0.9 wt%, and / or the content of Fe2O3 is not lower than 9.8 wt%, and / or the raw materials further comprise a nucleating agent not higher than 7 wt%. The vanadium-titanium magnet tailings are used as main raw materials, endowed characteristic elements such as Fe and Ti in the vanadium-titanium magnet tailings are used as nucleating agents in the microcrystal cast stone production process, the low adding amount of the nucleating agents can be achieved, and even when the content of TiO2 and / or Fe2O3 in the vanadium-titanium magnet tailings is high enough, zero-adding nucleating agents can be achieved. Furthermore, the vanadium-titanium magnet tailings are taken as a main material and supplemented with other solid waste raw materials, solid waste matching is reasonably carried out, the solid waste mixing amount is increased, and the microcrystalline cast stone can be prepared from nearly all solid wastes. Further, the building material prepared from the material has a wide application prospect.

An aluminum wheel low-pressure casting mold filling process control device belongs to the technical field of automobile hub low-pressure casting and is provided with a bottom mold, a top mold and a side mold, the top mold and the bottom mold are used in cooperation to form the upper contour of a casting, and a plurality of temperature monitoring points, pressure monitoring points and a cooling system are arranged in the upper contour. The side die is used in cooperation with the bottom die and the top die, a plurality of temperature monitoring points, pressure monitoring points and a cooling system are arranged on the side wall of the side die, and the temperature monitoring points, the pressure monitoring points and the cooling system are all electrically connected with a control system of the aluminum wheel low-pressure casting mold filling process control device. The temperature monitoring points and the pressure monitoring points are arranged, temperature distribution, pressure changes and metal flowing behaviors in the mold filling process are monitored in real time in combination with the data acquisition and analysis system, the mold active exhaust technology is further combined, the mold filling stability and consistency are ensured, and therefore the casting quality is remarkably improved, and the defect rate is reduced.

The invention belongs to the technical field of three-dimensional measurement and weld joint processing, and discloses a weld joint feature recognition and path extraction method based on line laser measurement. According to the full-automatic welding seam shape extraction method, an automatic measurement part before welding seam polishing and other machining steps can be achieved, after a robot measures the position of a welding seam, welding seam shape extraction can be achieved, the position of the center line of the welding seam can be calculated, and therefore a machining path is obtained; and the robot can be directly guided to process the welding seam through the hand-eye matrix. In addition, the welding width and surplus height characteristics before and after welding seam machining can also be calculated and compared. After the welding width and the excess weld metal are calculated, the machining parameters can be further calculated, and the whole method provides technical support for automatic welding seam machining.

The invention discloses a flexible clamping jaw capable of automatically adjusting clamping force based on deformation measurement, and belongs to the field of vegetable and fruit picking devices.The flexible clamping jaw comprises a rotating mechanism, three clamping jaw mechanisms are symmetrically installed at the front end of the rotating mechanism through an installation disc, and the rotating mechanism and the clamping jaw mechanisms form a picking mechanism; the rotating mechanism can drive the three clamping jaw mechanisms to rotate through an internal rotating motor, each clamping jaw mechanism comprises a flexible clamping jaw, the tail of each flexible clamping jaw is driven by a connected cam connecting rod mechanism to swing, and the back face of each clamping jaw mechanism is fixedly provided with a monitoring mechanism. The monitoring mechanism monitors the deformation quantity of the flexible clamping jaw through a camera. According to the flexible clamping jaw, the clamping force is accurately controlled through a camera and an algorithm, and fruits are protected against damage; the three-jaw structure is stable, the process is automatic, and the efficiency is improved; ginseng can be flexibly set according to vegetables and fruits, and the adaptability is wide; data after picking is driven and optimized, long-acting operation of equipment is facilitated, and the cost is reduced.

The invention relates to the technical field of elevator wallboard production, in particular to an elevator wallboard complete production line and a production method. The production line comprises an MES system, a material management module, a plate positioning and shearing module, a plate temporary storage module, a punching and bending module, a quality detecting and gluing module, a plate assembling and welding module and a finished product outputting and boxing module from front to back according to the production sequence, and the plate buffer library is provided with at least one replaceable buffer library arrangement scheme. The plurality of manipulators are connected among the modules; and the central control system is used for overall scheduling, monitoring the production process and adjusting the working parameters of the modules according to production requirements. The technical problems of low production efficiency, low material utilization rate, improper excess material treatment and the like in the prior art can be solved.

The invention belongs to the technical field of keel bending, and particularly relates to an automatic bending device for a light steel joist, which comprises a conveyor, a bending assembly is arranged above the conveyor, and the device is provided with the bending assembly, so that the light steel joist can be attached to the surface of the bending assembly to be subjected to pre-deformation bending treatment; the light steel joist is subjected to small-angle deformation before formal bending treatment, so that the resilience after edge folding can be reduced, the residual stress in the light steel joist can be released, the possibility of quality problems such as deformation and cracking caused by stress concentration is reduced, the structural strength and durability of the light steel joist are enhanced, and the service life of the light steel joist is prolonged. The stability and reliability of the whole structure are guaranteed, the internal stress distribution is more uniform and reasonable, so that the machining precision and the product quality are improved, the bending consistency of the light steel keel is guaranteed, manual intervention is not needed, the automation degree of the bending process is greatly improved, the labor intensity is relieved, and the production efficiency is improved.

The invention provides a medical packaging material and a preparation method thereof.The preparation method comprises the steps that S100, polypropylene, maleic anhydride grafted co-polypropylene, peroxide and filler are mixed, then melt extrusion and two-way stretching are conducted, and a printing layer is obtained; s200, respectively preparing a barrier layer and a heat sealing layer; and S300, the heat sealing layer, the blocking layer and the printing layer are sequentially stacked from inside to outside, and the packaging material is obtained. Through the preparation method of the packaging material, the prepared packaging material has excellent barrier property and antibacterial property while resisting high temperature, and can meet the requirements of the medical field.

The utility model provides a washing machine shell pre-bending device which comprises a base plate, a clamping mechanism used for clamping a piece to be bent is arranged on one side of the base plate, a bending mechanism is arranged on the other side of the base plate, the bending mechanism comprises a vertical plate arranged on the base plate, and a lifting moving platform is arranged on the vertical plate. A fixing plate is arranged on the lifting moving platform, a bending groove used for supporting a part to be bent is formed in the fixing plate, a bending roller is arranged on the upper portion of the fixing plate in a sliding mode, and a correction roller is rotationally arranged on the inner side wall of the side, close to the clamping mechanism, of the bending groove. According to the utility model, the clamping mechanism can be used for clamping and fixing a piece to be bent, and then the lifting moving platform is used for conveniently and quickly adjusting the height and the position of the bending mechanism, so that the bending operation of products with various diameters and radians is facilitated, the defective rate of the products is greatly reduced, and the production efficiency is improved. And the product quality and the bending efficiency are improved.