509 results about "Production automation" patented technology

The invention discloses a fault diagnosis and detection system for production automation equipment. The fault diagnosis and detection system comprises a data sensing layer which is used for carrying out multi-mode signal acquisition and real-time preprocessing; the feature extraction layer is used for constructing a recursive block convolution module, capturing transient impact features in four time steps by using an L1-layer gating convolution unit, associating a 16-time-step cross-block periodic degradation mode with an L2-layer sparse attention mechanism, aggregating multi-sensor spatial-temporal features by using an L3-layer global context node, and performing multi-scale feature extraction; the causal reasoning layer is used for establishing a physical constraint driven causal graph engine and outputting a fault propagation path with probability weight; the state modeling layer is used for constructing a continuous health evolution model by adopting a Shenchang differential equation, embedding a physical constraint loss function, and performing equipment full life cycle health state prediction and residual service life estimation in combination with a three-stage memory fusion mechanism of LSTM short-term memory, differentiable neural dictionary medium-term memory and knowledge graph long-term memory; and the decision support layer is used for generating a personalized maintenance work order.

The invention relates to the technical field of cable production automation control, and provides a crosslinked cable production control method based on an improved PID (Proportion Integration Differentiation) control algorithm, which comprises the step of constructing an optimal reference model by establishing a cooperative control framework of temperature, pressure and traction speed and taking the temperature of a vulcanization pipe as a main control variable and the pressure and the traction speed of an extruder as slave control variables. A main controller tracks a temperature set value in real time, PID parameters are dynamically set according to technological parameters such as the thickness deviation of an insulating layer and the crosslinking degree of a material, and precise control is achieved through a three-ring cooperative coupling improved PID controller. A temperature control ring enables the steady-state error of the actual temperature and the set value to be converged to zero. The pressure and speed control loop converges the fluctuation amplitude to a process allowable range. The temperature stability, the pressure uniformity and the traction synchronism of crosslinked cable production can be improved, the process fluctuation and the defect rate are reduced, and the product quality and the production efficiency are improved.

The invention relates to the technical field of program control, and discloses a high-activity selenium yeast intelligent production control system based on gradient feeding monitoring. The system comprises a data acquisition module, a control parameter acquisition module, a gradient calculation module, an intelligent control module and a material supplementing control module. The system collects process production data, extracts key control parameters and weights, calculates real-time gradient values of the parameters, forms six-dimensional gradient vectors, generates control gradient indexes in combination with the parameter weights and time sequence attenuation weights, and then forms an addition control decision. And according to the decision and the process state dynamic data, the material supplementing opportunity is identified, an active adding instruction is generated, programmed control and adjustment of the raw materials and the additives are achieved, and the control precision and the production automation level are improved.

The invention discloses a control method and system of automation equipment for industrial production, and particularly relates to the technical field of automation equipment control. The method comprises the following steps: extracting diversified samples of normal values, abnormal values and hidden defects from an existing data warehouse, labeling categories, and constructing a high-quality initial data set; evaluating the stability of the model by using a layered K-fold cross validation method, and testing and evaluating the consistency of the abnormal response capability and the historical mode through a high-load condition when the model is unstable; comprehensively analyzing the stability and the abnormal response capability of the model, and evaluating the capability of the AI for identifying error modes in historical data; for inaccurate identification, the dynamic time warping algorithm is used for detecting the deviation degree of the equipment operation parameters, an alarm is triggered in time, and the production process is paused to guarantee the safety of the equipment, so that the reliability and accuracy of the AI model in a dynamic environment are remarkably improved, and meanwhile, the risks of equipment damage and production safety accidents caused by optimization errors are effectively reduced.

The invention relates to an automatic overturning and stacking device for automobile parts, which relates to the technical field of conveying and stacking of the automobile parts and comprises a first conveying belt, a discharging assembly, an overturning assembly and a second conveying belt. The automobile parts are conveyed to the overturning assembly through the first conveying belt, accurate overturning of the parts is achieved through the overturning frame, the overturning frame is driven to act through the push rod, and it is ensured that the overturning process is stable and reliable. And meanwhile, the discharging assembly is combined with the displacement assembly and the clamping assembly, and automatic taking, placing and stacking of the automobile parts can be achieved. The automatic part overturning and stacking device achieves the effects of improving the overturning and stacking efficiency of the automobile parts, reducing manual intervention, reducing operation errors and improving the production automation level.

The utility model relates to the technical field of battery production and processing, in particular to an assembling machine for battery processing. Comprising an assembling machine and a forming machine. The assembling machine comprises a disc clamping device, a rubber plug feeding device, a shell feeding device, a pressing device and a transferring device. The disc clamping device comprises a first rotating disc, a guide piece and a clamping assembly, the first rotating disc rotates relative to the guide piece, and the clamping assembly is arranged on the first rotating disc; the rubber plug feeding device, the shell feeding device, the pressing device and the transferring device are sequentially arranged around the first rotating disc, the clamping assembly is used for bearing rubber plugs from the rubber plug feeding device and shells from the shell feeding device, and the clamping assembly abuts against the guiding piece so that the central axis of the rubber plugs can coincide with the central axis of the shells. The pressing device presses an external rubber plug into the shell to form a battery semi-finished product, the transfer device transfers the battery semi-finished product to the forming machine, and the forming machine performs girdling and sealing on the battery semi-finished product; the production automation degree is improved, and the production efficiency and the machining precision are improved.

The invention relates to a concrete mixing main machine visual monitoring system and a method thereof, and belongs to the technical field of concrete production automation and intelligent quality control, and the method comprises the following steps: S1, collecting a video image sequence of movement of concrete in a mixing main machine in real time; s2, extracting a dynamic visual feature vector and a static feature vector based on the video image sequence; s3, on the basis of the dynamic visual feature vector and a preset dynamic rheological-visual feature coupling model, calculating an internal rheological state index; s4, based on the static feature vector and a preset static correlation model, calculating a predicted value of the foundation slump; s5, determining a final corrected slump through a preset correction function in combination with the intrinsic rheological state index and the predicted value of the foundation slump; s6, according to the final corrected slump, the predicted value of the foundation slump and the intrinsic rheological state index, the comprehensive risk index is calculated, and the intrinsic rheological characteristics which are caused by chemical admixtures and cannot be perceived by a traditional visual method can be deeply captured.

The invention relates to an intelligent regulation and control method and system for a food processing production line, and belongs to the technical field of food processing automatic control. Formula description information and monitoring instructions are automatically obtained and processed through a PLC control system, production automation is achieved, the system carries out segmented processing according to the processing time period described by a formula, determines processing parameter set values, calculates the process similarity between different products and carries out grouping, further, the processing time period is divided into flavor sub-stages, and the flavor sub-stages are divided into flavor sub-stages. A three-dimensional parameter group is established to finely regulate and control the flavor forming process, meanwhile, an edge calculation terminal is installed to be connected with all devices, the remaining processing time is analyzed in real time, a production sequence is dynamically adjusted based on a priority queue, the production efficiency is improved, the deviation value and the change rate of processing adjustable parameters are calculated, abnormal devices are determined and fed back for maintenance, and stable production is ensured. Manual intervention is reduced, the production automation and intelligence level is improved, and fine control and efficient production are achieved.

The utility model relates to the technical field of drawer sliding rail processing equipment, in particular to a shifting piece welding device of a drawer sliding rail, which comprises a machine base, and the machine base is provided with a welding mechanism used for welding a shifting piece and a movable sliding rail, a carrying mechanism used for conveying the movable sliding rail and a feeding mechanism used for carrying the shifting piece to the movable sliding rail. The welding mechanism and the feeding mechanism are both located at one end of the movable sliding rail, the welding mechanism comprises a supporting base, the supporting base is provided with a limiting groove with an opening facing the movable sliding rail, the inner wall of the limiting groove is matched with the outer wall of the movable sliding rail, and the bottom wall of the limiting groove and the bottom wall of the movable sliding rail on the carrying mechanism are located on the same plane. The pushing mechanism is used for pushing the movable sliding rail on the carrying mechanism to move back and forth towards the limiting groove, the pushing mechanism is located at the other end of the movable sliding rail, the production automation degree is improved, manual operation errors are reduced, the welding quality and the product consistency are improved, and the product repair rate and the rejection rate caused by poor welding are reduced.

The invention relates to the technical field of data management, in particular to a carbon molecular sieve production automation management method and system based on big data, and the method comprises the following steps: recording an adsorption gas track, dividing path segments and marking direction changes, extracting particle configuration identification interference fragments, and extracting contour tracking structure deformation. The overlapping area is recognized through cross positioning process operation, and an automatic control instruction structure table is generated through sorting reconstruction actions. According to the method, interference areas are extracted by combining particle boundary continuity and path coincidence features, fine-grained expression of structure identification is enhanced, a change track is tracked and collected by using a structure jump trend and a connecting line, dynamic perception of a structure state is realized, and time-space cross mapping is performed on a structure strain area and an operation behavior; a process intervention target is defined, operation sequence analysis and control chain recombination are combined, execution logic and control response are optimized, and a multi-dimensional linkage automatic control strategy is constructed.

The invention relates to an intelligent rolling mechanism model data management system based on containerization micro-service collaboration, belongs to the technical field of steel production automation and intelligentization, and solves the problems that in the prior art, a model is difficult to expand, a unified standard is lacked, and data management is dispersed. Comprising the steps that an API gateway service sends a model calling request to an authority management micro-service and a service registration and discovery micro-service; the model management micro-service packages the rolling mechanism model into a dynamic link library file, and generates a standardized interface description document and a multi-language calling template based on the dynamic link library file; generating a model container instance based on the dynamic link library file, the standardized interface description document and the multi-language calling template; and the authority management micro-service is used for verifying user authority and executing rolling process calculation based on the multi-language calling template and the standardized interface description document through the positioned target model container instance.

The invention relates to an automatic control method and system for wire and cable production. The method comprises the following steps: acquiring a rotation angle signal of a take-up main shaft; the take-up speed is calculated according to the rotation angle signal, and an initial tension control signal is generated in combination with a preset tension value; the rotation angle signal is decomposed into the total number of wound turns and the current winding phase angle; reading a pre-stored low-vibration phase window; judging whether the current winding phase angle falls into a low-vibration phase window or not; if yes, an enabling signal is output to the tension sensor, and a real-time tension value output by the tension sensor in response to the enabling signal is obtained; if not, obtaining a pre-stored previous effective tension value; taking the real-time tension value or the previous effective tension value as the current effective tension value; and the current effective tension value is compared with a preset target tension value, a torque control instruction is generated according to the comparison result, and the rotating speed of the take-up spindle is adjusted through the torque control instruction. According to the cable winding device, the tension control accuracy in the cable winding process can be improved.

The invention discloses a multi-modal data fusion slow-sugar-rising baking intelligent control system and method, and relates to the technical field of food processing intelligent manufacturing, and the system comprises a data collection module, a core control module and an execution adjustment module. The method comprises the steps of initialization setting, real-time data acquisition and fusion, quality prediction and decision making, closed-loop accurate regulation and control and intelligent discharge judgment, dynamic regulation and control of multi-modal data fusion and machine learning driving are achieved, the baking process can be monitored in real time, equipment parameters can be accurately controlled, the product quality and functional components can be balanced, manual dependence is reduced, and the production efficiency is improved. And the production automation and the product consistency are improved, and the method is suitable for industrial production of slow-sugar-rising composite cereal baked food.

The invention discloses an efficient automatic yarn throwing robot, relates to the technical field of textile machinery automation, and realizes full-process automation by arranging a feeding assembly, a loading assembly, an identifying and overturning assembly, a yarn detection and operation assembly, a grabbing and throwing assembly and other assemblies and cooperative operation thereof. Yarn bars are conveyed through a conveying belt of the feeding assembly, lifted through a lifting plate, fed to the feeding assembly and then thrown to the recognizing and overturning assembly, and direction correction is completed through infrared distance measurement and air cylinder action. Then, in the yarn detection operation assembly, the yarn bar completes thread residue processing through an electric rotating clamping head, a thread picking needle, a thread suction pipe and the like. And finally, the grabbing and putting manipulator accurately grabs and puts the yarn bars and concentrates the yarns under the cooperation of the air source device according to the image of the camera. The full-process automation of the yarn bars from feeding to yarn concentration is achieved, the labor intensity is greatly reduced, the production efficiency, precision and stability are improved, and automatic and intelligent development of textile production is powerfully promoted.

The invention relates to the technical field of textile industry, in particular to a textile fabric winding tension prediction system based on machine learning, which comprises an environment sensing module, a dynamic data acquisition module, a data preprocessing enhancement module, a deep learning model training module, a self-adaptive control module and a fault diagnosis early warning module. Wherein the environment sensing module is used for monitoring spinning environment data in real time; the dynamic data acquisition module is used for comprehensively monitoring the running state and the physical environment change of the textile machinery; the data preprocessing enhancement module is used for standardizing the data acquired by the acquisition module; and the deep learning model training module is used for carrying out model training on tension change in the textile fabric winding process. According to the invention, real-time and accurate tension control is realized, the production automation and intelligence levels are improved, and fault diagnosis early warning is started, so that the production efficiency and quality of textiles are remarkably improved, and meanwhile, the resource waste and the production cost are reduced.

The invention discloses an automatic ceramic glazing control system and method fusing machine vision and track planning, and relates to the technical field of ceramic production automation, and the method comprises the steps: obtaining basic information and glazing demand information of to-be-glazed ceramic; according to the automatic ceramic glazing control system and method fusing machine vision and trajectory planning, three-dimensional data are obtained by shooting ceramic images from multiple angles and scanning, the three-dimensional features of surface profiles, textures and tiny defects can be accurately captured, even pits and protrusions can be recognized, and when a glazing path is planned, the glazing quality is greatly improved. The angle of the nozzle can be adjusted in real time according to the surface morphology of the ceramic to ensure that glaze is sprayed perpendicular to an arc-shaped surface and a special-shaped surface, and meanwhile, the moving speed of the nozzle and the glaze output quantity are matched to avoid material consumption deviation per unit area; the glazing thickness uniformity and the coverage area precision are improved through mutual cooperation, the problems that coating of special-shaped ceramics is missed, and the thickness fluctuation of curved-surface products is large are solved, and the percent of pass of complex ceramic products is remarkably improved.

The utility model discloses equipment for improving supercritical CO2 extraction efficiency of plant solid powder, which comprises a raw material screw conveyor, a vertical extraction kettle, an annular supercritical CO2 annular steam pocket and a raffinate screw conveyor, wherein the volume of the vertical extraction kettle can reach hundred cubic meters, and the withstanding pressure of the vertical extraction kettle is 20-45MPa. A material turning system capable of lifting materials upwards from the bottom is arranged in the extraction kettle, a supercritical CO2 annular steam pocket which is in a sleeved state relative to the extraction kettle is located on the lower side of the extraction kettle, and a plurality of supercritical CO2 steam inlet pipes which are communicated with the supercritical CO2 annular steam pocket and the extraction kettle extend into pipeline parts of an inner cavity of the extraction kettle to be opened downwards. The supercritical CO2 fluid entering the inner cavity of the extraction kettle downwards impacts the bottom of the inner cavity of the extraction kettle and then reversely flows upwards. The extraction kettle disclosed by the utility model is large in volume and can be elastically adjusted, the extraction efficiency is improved by 30%, the operation time is saved by about 1 / 4-1 / 3, and the production automation can be realized.

The invention relates to the technical field of glass bottle detection, in particular to a glass bottle inspection device. Comprising a supporting frame, a supporting mechanism is arranged on the supporting frame, a conveyor is installed on the supporting mechanism, the supporting mechanism is used for supporting the conveyor, and supporting strips are installed on a conveying belt of the conveyor. Through cooperative work of the conveyor, the visual sensor, the controller and other components, automatic conveying, cleaning, detection and sorting of glass bottles are achieved, the detection efficiency and the production automation level are improved, suction force is generated by the through holes in the belt through air suction of the vacuum pump, the glass bottles can be firmly adsorbed to the belt, and the production efficiency is improved. The glass bottles are prevented from toppling or position deviation in the conveying process, the accuracy of image collection is guaranteed, the cleaning assembly provided with the wiping rod and the electrostatic generator can clean the inner walls and the outer walls of the glass bottles before detection, misjudgment caused by dust is avoided, meanwhile, the optical imaging quality is improved, and the detection precision is improved.

The utility model discloses an enzymatic hydrolysis device for fruit essence, and belongs to the technical field of fruit essence production, the enzymatic hydrolysis device comprises a reaction tank body, a feed liquid storage tank, a standard alkali liquid storage tank, a standard acid liquid storage tank and an enzyme liquid storage tank, the reaction tank body is composed of a shell and an inner cylinder, an interlayer is formed by a gap between the shell and the inner cylinder, and the inner cylinder is arranged in the shell; a feeding hole is formed in the top end of the interior of the inner cylinder, and the feed liquid storage tank is communicated with the feeding hole through a connecting pipe; the device is novel in design and ingenious, the hydrolysis efficiency and the mixing uniformity are improved by optimizing a stirring structure and a control mode, accurate control over the reaction temperature is achieved by adopting an accurate temperature control system and a multilayer temperature sensor layout, the product quality stability is improved, and by additionally arranging a high-definition camera and an automatic sampling device, the product quality stability is improved. The operation convenience and the remote monitoring capability are improved, the maintenance cost is reduced, the production automation level is improved, and the practicability of the device is greatly improved.

The invention discloses an industrial production artificial intelligence control method based on machine learning. The method comprises the following steps: acquiring latest dynamic data in a factory production process; performing data preprocessing and frequency reduction processing on the multi-factor matrix, and calculating a production energy consumption efficiency value; randomly dividing the data subjected to pre-processing and frequency reduction processing into a training set and a verification set; building machine learning model training data to obtain a model weight file; setting an energy consumption value, and predicting a parameter array of the production data by using the trained model weight file; and loop iteration evolution and autonomous regulation and control of the model are carried out through the parameter array. Compared with the prior art, various parameters such as the feeding amount, the flow, the temperature and the concentration are comprehensively considered, a multi-factor characteristic matrix is established, global optimization of the production process is achieved instead of single parameter adjustment, the overall production efficiency is improved, real-time dynamic regulation and control are conducted on the industrial production process through a machine learning model, autonomous optimization of the production parameters is achieved, and the production efficiency is improved. Manual intervention is reduced, and the production automation level is improved.

The invention relates to the technical field of light-weight wire harness and multi-material conformal additive manufacturing, and provides a light-weight conformal wire harness additive manufacturing method and a working device.A base body obtained after surface treatment is installed and fixed to a printing device, printing and laying procedures are imported, and the printing device is initialized; conformally printing a first insulating layer on the surface of the substrate; a first conducting layer is laid on the first insulating layer in a conformal wiring mode through a wiring unit; conformally printing a second insulating layer over the first conductive layer; conformally printing a first shielding layer on the second insulating layer; if the wire harness is a multi-layer conformal wire harness, repeating the process to complete conformal manufacturing of all other insulating layers, conductive layers and shielding layers; if the wiring harness is a single-layer conformal wiring harness, a packaging layer is directly printed in a conformal manner; and post-processing the multi-material conformal wire harness to complete the preparation of the conformal wire harness. The method has the advantages of being high in production automation degree, high in production efficiency, high in material utilization rate, good in production flexibility, environmentally friendly in manufacturing and the like.

The utility model relates to the technical field of lithium battery production automation equipment, in particular to a jacking mechanism for tray disassembling and assembling of an automatic production line. The jacking mechanism comprises an installation fixing plate, two ends of which are used for being fixed on external equipment; the first jacking assembly comprises a first jacking part, a first driving motor and a mounting plate, a plurality of parallel first jacking rods are arranged on the first jacking part, one ends of the multiple first jacking rods are connected through a first connecting plate, and the other ends of the multiple first jacking rods movably penetrate through the mounting fixing plate to be connected to the mounting plate; the multiple mounting plates are arranged side by side corresponding to the multiple first jacking rods, and the telescopic end of the first driving motor is connected to one mounting plate and used for sequentially driving the first jacking pieces and the mounting plates to ascend and descend relative to the mounting fixing plate; and the ejector rod fixing plate is detachably arranged on the mounting plate, and a plurality of ejector rods used for jacking the batteries in the tray are arranged on the end face, away from the mounting plate, of the ejector rod fixing plate. The battery jacking device is convenient to disassemble and assemble so as to meet the jacking requirements of various types of batteries.

The utility model relates to the field of cleaning devices, and discloses an on-line cleaning device for a camera module production automation equipment jig, which comprises a cleaning assembly, a particle filter, a vacuum generator and a telescopic air pipe, the cleaning assembly comprises a pipe body and a brush body unit arranged at one end of the pipe body, the brush body unit comprises a base connected with the pipe body and a plurality of bristle units fixed on the base; the particle filter is arranged on the outer side of the pipe body, and the other end of the particle filter is connected with a vacuum generator; the telescopic air pipe is connected with the pipe body or the vacuum generator; dual mechanisms of physical scrubbing and vacuum dust collection are combined, particles are powerfully removed through the bristle unit, meanwhile, residual dirt is effectively sucked away through the vacuum generator, comprehensive and thorough cleaning is guaranteed, high cleaning efficiency is guaranteed, and meanwhile the cleaning effect of the device is improved.

This invention provides an intelligent optimization and collision avoidance method for powder coating lifting fixture paths, relating to the field of powder coating production automation technology, including the following steps: S1: Constructing an environmental map of the powder coating production line, generating an initial lifting fixture path based on an improved A* algorithm, the improved A* algorithm optimizing the heuristic function by introducing a direction cost factor; S2: Iteratively optimizing the initial path generated in S1 using an adaptive inertia weight PSO algorithm to obtain a multi-objective optimal path; This invention introduces a direction cost factor into the heuristic function of the A* algorithm, fully considering the matching degree between the lifting fixture's movement direction and the target direction, resulting in an initial path that better conforms to the lifting fixture's movement characteristics, reducing redundant segments and unreasonable turns; Combined with the adaptive inertia weight PSO algorithm, the inertia weight is dynamically adjusted according to the iteration process, which can accurately adapt to the path optimization needs of different production line scenarios, achieving multi-objective optimization of lifting fixture running time, path length, and workpiece sway amplitude.

The invention discloses a steel plate blanking line visual inspection object distance dynamic regulation and control method and system based on production information fusion, and belongs to the technical field of steel plate production automation. The method comprises the following steps: collecting multi-dimensional disturbance data in real time; carrying out fusion processing on the steel plate parameter information, the production line operation information and the additional parameter information, and calculating object distance offset through a pre-constructed dynamic offset prediction model; based on the object distance offset, driving the lifting platform to move the visual detection equipment to a target position before the steel plate reaches the detection area; in the moving process of the steel plate, the deviation value of the real-time object distance and the target position is collected, fine adjustment of the object distance is carried out, and the target position is dynamically optimized according to the image quality evaluation value output by the visual detection equipment. According to the technical scheme, full-automatic precise regulation and control of the object distance can be realized, manual operation errors and collision hidden dangers are eliminated, the production line suitability and the detection efficiency are improved, and the visual detection precision under high-speed and multi-variety production scenes is guaranteed.

The present invention discloses an automated cutting device for plate production, which relates to the technical field of plate production, and comprises an inner frame, wherein the front and rear ends of the inner frame are respectively fixed with a front frame and a rear frame; a roller conveyor is fixedly installed in the rear frame; a shearing mechanism for shearing is provided in the front frame; a walking structure for enabling the shearing mechanism to move linearly therein is provided in the front frame; and rotating holes are provided on both sides of the rear frame above the roller conveyor. The disc provided in the present invention enables the shearing mechanism to move back and forth linearly. The disc is designed based on an Archimedean spiral. During the process of the disc pushing the shearing mechanism, there is a distance that is consistent with the direction of plate conveying and at the same speed. The shearing mechanism completes the cutting work in the uniform speed section, then resets, and reciprocates in sequence, thereby realizing continuous cutting motion, ensuring that the feeding process does not stop, so that feeding and shearing work are carried out simultaneously, thereby improving production efficiency.

The utility model discloses a large-roll film slitting and winding mechanism which comprises a slitting and rewinding machine and a supporting seat, an air swelling shaft and a pusher located on the left side of the air swelling shaft are installed on the slitting and rewinding machine, a first air cylinder is installed on the lower portion of the slitting and rewinding machine, a V-shaped plate is installed at the upper end of the first air cylinder, and a conveyor is installed in the V-shaped plate. The conveyor conveys the film roll on the air swelling shaft down, and a bearing plate is movably installed on the supporting base and receives the film roll conveyed down from the air swelling shaft. The film roll is not tightly clamped after the air expansion shaft is deflated, the first air cylinder jacks the V-shaped plate, so that the two conveying belts support the film roll, the film roll is separated from the air expansion shaft, the conveying belts rotate to be matched with pushing of the second air cylinder, the film roll moves towards the bearing plate, automatic taking-down of the air expansion shaft is achieved, and the physical burden of workers is relieved; and the film roll production automation level is improved.

The utility model provides a truck clamp body stacking robot gripper which comprises a supporting arm, one end of the supporting arm is connected with a stacking robot, a positioning pin is installed on a side plate at the other end of the supporting arm, and the positioning pin is used for being inserted into a positioning hole of a truck clamp body of a to-be-stacked box. A clamping pincer air cylinder is installed in the supporting arm, the telescopic ends of the left side and the right side of the clamping pincer air cylinder are each provided with a clamping pincer, and the clamping ends of the two clamping pincers are located on the outer sides of the side plates. A telescopic rod of the push rod air cylinder is connected with the push rod assembly. According to the robot gripper for stacking the truck clamp body, manual carrying is replaced, the production automation level is improved, the truck clamp body is positioned through the positioning pin, the clamping pincers and the push rod assembly are used in cooperation, locking of the truck clamp body can be rapidly achieved, the truck clamp body can be accurately grabbed and placed, the stacking efficiency is greatly improved, and the labor intensity of workers is lowered. The production cost is reduced, and the safety and accuracy of the operation process are ensured.

The utility model discloses an automatic cigarette frame overturning and pouring mechanism which comprises a machine frame, a supporting frame extends from the side end of the machine frame, a frame is movably installed on the machine frame, a linear driving mechanism is arranged at the upper end of the machine frame, and the linear driving mechanism is connected with the frame and used for driving the frame to move between the machine frame and the supporting frame in a reciprocating mode. A clamping assembly is arranged in the frame and can synchronously clamp the two sides of a tobacco frame so as to fix the tobacco frame. The frame is further provided with an overturning mechanism connected with the clamping assembly and used for driving the clamping assembly and the tobacco frame to synchronously overturn and pour materials. The device realizes full-process automation of tobacco frame dumping, can reduce the labor intensity of workers, improve the working efficiency and dumping precision, reduce the material loss, guarantee the working safety and the material cleanliness, is reasonable in structure, high in universality, reliable in operation and convenient to maintain, can also realize closed-loop circulating operation, assists in improving the production automation level, and improves the production efficiency. The pains in the prior art are effectively solved.

The invention relates to the technical field of calender cooling, in particular to an automatic calender for industrial and mining vehicle load-carrying run-flat tire cord fabric production, which comprises a calender, a support frame is arranged on the side edge of the calender; a plurality of first cylinders are rotationally connected to the supporting frame. A plurality of motors are fixedly connected to the supporting frame. The space between the first cylinder and the second cylinder is divided into a plurality of independent first cavities through cooperation of the first circular rings and the partition plates, cooling liquid circumferentially flows in all the independent first cavities, the heat dissipation effects of the second cylinder at different positions in the front-back direction are the same, and therefore the cooling effects of the cord fabric piece at different positions in the front-back direction are the same, and the cooling effect of the cord fabric piece at different positions in the front-back direction is improved. The cooling and plasticizing uniformity of all positions of the curtain cloth piece is improved, the situation that the product quality is affected due to the fact that the cooling and plasticizing degree difference of all the positions is too large is avoided, meanwhile, the partition plate originally used for separating the first cavity can also be used for scraping water scale remaining on the inner side of the second cylinder, the structure is compact, and meanwhile the cleaning difficulty is reduced.