681 results about "Semi automation" patented technology

The invention provides a building self-correction design method and system based on a big language model, a design experience library and a design rule library are formed by using a BIM model of a historical design scheme and design specifications, and when a new project is designed, the big language model can be used for searching and understanding a historical experience knowledge library, and reasoning ability, so that the design efficiency is improved. Intelligent optimization suggestion is carried out on existing design parameters, the compliance of the suggestion is ensured through retrieval and understanding of a rule base, and finally semi-automatic or automatic correction of building design is achieved.

The invention discloses a ground element labeling method and device, equipment and a storage medium, and the method comprises the steps: determining time sequence data corresponding to a target scene, and constructing three-dimensional point cloud data of the target scene based on the time sequence data; based on the three-dimensional point cloud data, determining a bird's-eye view and an elevation map corresponding to the three-dimensional point cloud data, and displaying the bird's-eye view on a user interface; in response to the detected labeling operation for the ground elements in the aerial view, determining first labeling information of the ground elements; and determining a labeling result of the ground element based on the first labeling information and the elevation map. According to the technical scheme, the three-dimensional point cloud data of the target scene is constructed, and the aerial view and the elevation map are determined based on the three-dimensional point cloud data, so that semi-automatic manual labeling is performed at the BEV perspective, and meanwhile, the 3D labeling result of the ground element is obtained in combination with the elevation map, so that the high-quality ground element labeling true value can be conveniently and quickly obtained.

The invention discloses a rapid drilling clamp for a carbon fiber badminton racket. The rapid drilling clamp comprises a machining table, a drilling machine, a sliding assembly, a fixing clamp and the like. The sliding assembly horizontally corresponds to the working end of the drilling machine, and the fixing clamp can fix the racket frame. The inner gear in the machining table containing groove is driven by the moving piece to rotate, then the cam is made to rotate through the transmission gear, and the cam abuts against the sliding assembly to be in linkage so as to adjust the position of the racket frame. The scale value of the machining table is matched with the moving part pointer to achieve accurate angle adjustment. The sliding assembly comprises a fixing rod, a first spring, a sliding frame and the like and can horizontally move under the action of the cam. The fixing clamp drives the four fixing assemblies through the driving assembly, and automatic clamping and dismounting of the racket frame are achieved through the second spring and the supporting block. According to the clamp, accurate positioning and rapid drilling of the racket frame are achieved through a mechanical structure, the problems that in semi-automatic machining, manual distance adjusting is tedious, and the intelligent modification cost is high are solved, the clamp is suitable for racket frames of different shapes, and the drilling efficiency and precision are improved.

The invention provides a method and a system for constructing a time sequence knowledge graph in the water conservancy field based on a T-ATLOP model, which are applied to the water conservancy field, mainly comprise two key levels, namely a data layer and a knowledge extraction layer, and realize semi-automatic time sequence knowledge graph construction. The method comprises the following steps: carrying out batch document processing on water conservancy census data by utilizing a large language model through a prompt project, crawling water conservancy consultation of water conservancy halls of all provinces and cities by a web crawler, constructing a time sequence knowledge graph data set HE-DOCU through two-step method labeling of large language model assistance and heuristic strategy labeling, and carrying out a knowledge extraction layer part on the basis of an ATLOP model. A new model T-ATLOP is provided for knowledge extraction. And finally, storing the knowledge tetrad of the knowledge extraction layer by using a graph database to form a water conservancy field time sequence knowledge graph. According to the method, the more perfect water conservancy field time sequence knowledge graph is constructed by fully utilizing the water conservancy information, so that the accuracy and the intelligent level of querying related knowledge by hydrological employees can be improved.

The invention relates to the field of computer vision, in particular to an intelligent identifying and sorting method and system for traditional Chinese medicinal materials. Based on a multispectral and microscopic vision fusion engine, millisecond-level authenticity identification of traditional Chinese medicinal materials is realized through sub-pixel-level feature extraction and cross-modal knowledge distillation, and similar medicinal material confusion is thoroughly eliminated by combining PointRend point cloud segmentation and pharmacopoeia map confrontation verification; a rotary YOLO-MoE multi-angle defect detection mechanism is innovated, a zero-adulteration quality control closed loop with zero manual intervention is achieved under the assistance of a self-adaptive guide execution unit, and a map database is continuously upgraded synchronously through a dynamic federated learning mechanism. The technical bottleneck that an existing traditional Chinese medicine identification system depends on artificial experience and is weak in authenticity identification capability is broken through, and the key problems of confusion of medicinal materials with similar forms caused by single dimension of semi-automatic pharmacy visual identification, missing detection of defective products caused by no quality control mechanism and the like are thoroughly solved; and the medicinal material identifying and sorting process is improved to a stable, reliable, self-adaptive and cooperative intelligent level.

The invention discloses a multi-modal fusion AI visual detection method. The method comprises the following modules: a multi-modal data acquisition module, a data preprocessing and aligning module, a multi-modal feature fusion AI module, a real-time decision and feedback module, and a model iteration and data management module. The multi-modal data acquisition module comprises a high-resolution visible light camera, an infrared thermal imager, a high-precision line laser scanner and a synchronous trigger controller; the method further comprises the following steps: step 1, an early-stage preparation stage; 2, a detection execution stage; 3, a decision-making and feedback stage; 4, performing daily maintenance and iteration; the invention aims to provide a multi-modal fusion AI visual detection method, so as to solve the problems that the existing method depends on a single detection mode, only surface texture defects can be identified, and internal problems or three-dimensional form defects of materials cannot be considered; and a traditional detection mode often depends on manual judgment or a semi-automatic process, is low in efficiency and is greatly influenced by subjective factors.

The invention discloses wire harness winding and binding equipment which comprises a rack, a rotating module, a wire drawing module, a binding belt module and a clamping jaw module, wherein the rotating module, the wire drawing module, the binding belt module and the clamping jaw module are arranged on the rack. The rotating module comprises a connector clamping mechanism, a wire harness tensioning mechanism and a rotating mechanism, and can fix a wire harness end connector, support a wire harness to form a ring shape and drive the wire harness to rotate to achieve winding. The wire drawing module guides the wire harness to be uniformly wound on the wire harness tensioning mechanism; the clamping jaw module can take out the annular wire harness from the rotating module and send the annular wire harness to the binding belt module to complete binding belt binding. According to the equipment, through cooperation of all the modules, full-process automation of wire harness winding, uniform wire arrangement, transferring and binding is achieved, the problems that manual or semi-automatic equipment is low in efficiency, poor in winding consistency, unstable in binding and the like are solved, the production efficiency and the product quality are improved, and it is ensured that winding is uniform, the ends are fixed reliably, and binding is firm.

The invention discloses a synthetic defect data generation method based on physical feature fusion, and relates to the technical field of defect data generation, and the method comprises the steps: building a real crack feature parameter library of stamping part cracking defects; a parameterized fractal function is adopted to generate a fracture basic form; the Poisson fusion algorithm is used for achieving material sensing fusion of the crack and the stamping part substrate, and edge artifacts are eliminated; performing personalized adjustment on the initial synthetic defect image to generate final synthetic defect data; and using the generated synthetic defect data for deep learning model training. According to the method, a basic system of a real crack characteristic parameter library and CAE stress field data is constructed, a physical real crack form adaptive to a stress field is generated in combination with a parameterized fractal function, edge artifacts are eliminated through Poisson fusion, personalized adjustment is performed through a semi-automatic tool, defect parameters are fed back and optimized by relying on a deep learning model, and thus the crack quality is improved. And finally generating stamping part cracking synthesis defect data with physical authenticity and deep learning adaptability.

The utility model relates to the technical field of ceramic tile packaging equipment, and particularly discloses automatic ceramic tile binding equipment. Comprising an overturning machine used for stacking ceramic tiles, a wood support arranged on one side of the overturning machine and used for bearing the ceramic tiles, a carrying device arranged on one side of the overturning machine and used for grabbing and clamping the ceramic tiles, and a binding device arranged on one side of the overturning machine and used for binding ribbons for the ceramic tiles. The binding device comprises a machine frame arranged on one side of the overturning machine, a first module arranged on the machine frame and used for laying binding belts for the ceramic tiles and a second module used for tightening and dividing the binding belts, and the problems that the traditional ceramic tile packaging process is generally completed through semi-automatic assembly line work, repeated ceramic tile binding actions need to be completed by workers at high frequency, and the efficiency is high are solved. And the labor intensity of workers is high.

The invention relates to the technical field of aerostat transportation, and provides container type aerostat capsule loading and transporting equipment and a loading and transporting method.The container type aerostat capsule loading and transporting equipment comprises a box used for being arranged on transportation equipment, and a containing space with an opening formed in one side is formed in the box; the folding guide rail comprises a first guide rail and a second guide rail, the first guide rail is rotatably connected with the second guide rail, and the first guide rail is arranged in the accommodating space; and the lifting mechanism is used for lifting the aerostat capsule body. The container type aerostat capsule loading and transporting equipment provided by the invention has the advantage of large volume of a conventional loading and transporting container, can meet the loading and transporting and storage requirements at the same time, and does not need additional storage facilities. And through cooperation of the lifting mechanism and the folding guide rail, collision, friction and the like of the bag body in the carrying process are reduced, the bag body is effectively protected, and the damage possibility of the bag body is reduced. Meanwhile, the equipment further has a semi-automatic loading and transporting function, manual operation links are reduced, and labor cost input is reduced.

The invention provides a kiwi fruit whole industry chain knowledge graph database construction method, which comprises the steps of S1, designing a relationship between top-level concepts and concepts of a knowledge graph database to obtain a knowledge graph concept mode; s2, constructing a kiwi fruit text data set, and performing BIO labeling by using a semi-automatic method to obtain a labeled data set; step S3, performing entity identification by using a BiLSTM-CRF model; s4, forming a triple by the extracted entities according to the guidance of the conceptual mode; step S5, the assembled triad is stored in a Neo4j database, and the visualization of the database is realized; s6, completing the design of the automatic recommendation method based on the knowledge graph under the support of the Neo4j database data; and S7, designing a recommendation system architecture, and constructing an available recommendation system. The method is low in cost, high in knowledge integrity and convenient to update and maintain, and the recommendation system obtains knowledge more simply and conveniently.

The invention relates to the technical field of data processing and artificial intelligence, in particular to a dam hidden danger classification data set construction method based on semi-automatic active learning, and the method comprises the steps: calling a dam safety analysis component to generate a multi-dimensional analysis abstract for unlabeled multi-modal data; screening out records with content contradictions and information sparseness, and labeling the records by experts; dynamically updating the instruction set according to the expert label and carrying out generative cross-modal expansion; organizing all the marked hidden danger records and the expanded hidden danger records into a structured data unit containing positive, negative and difficult samples, and constructing a domain knowledge index through sample comparison; and continuously accumulating the structured data units in the closed loop step, and finally constructing a dam hidden danger classification data set. According to the method, the domain knowledge index constructed in the circulation serves as a new round of information retrieval tool, continuous accumulation of knowledge is achieved, and the efficiency and quality of data set construction are improved.

The invention relates to a multi-modal data construction method based on VLM-LLM cooperative verification and instruction driving, and the method achieves the full-process automation through a VLM and LLM cooperative verification design mechanism, reduces the manual labeling link, and enables the construction efficiency of complex scene data to be improved. Furthermore, through a multi-crossing rechecking mechanism of LLM, the self-error correction capability is established, the error labeling rate is remarkably reduced, and the later correction cost is greatly reduced; by automatically scheduling the expert identity in the LLM, the excellent domain migration capability is realized, the problem of artificial expert dependence is effectively solved, the method can automatically adapt to the new image field, manual intervention is not needed, and the flexibility and adaptability of multi-modal data construction are improved. Compared with a traditional manual labeling scheme and a semi-automatic labeling scheme, the technical disadvantages of insufficient semantic understanding, modal splitting, poor dynamic adaptability and the like are overcome, the manpower disadvantages of high cost, large quality fluctuation, low iteration efficiency and the like are overcome, and a solution is provided for efficiently producing a high-quality multi-modal data set.

The application discloses a concrete phase segmentation method based on lightweight deep learning and SE attention mechanism. The method adopts X-ray tomography to obtain a concrete original image; in the preprocessing, a semi-automatic labeling method is used to accurately label the concrete phase; the data set is divided into a training set, a verification set and a test set; on the basis of the U-Net network architecture, the strategy of reducing the number of convolution layer channels is used to realize network lightweight, and the SE attention mechanism is embedded to construct an SE U-Net model; through model training and optimization, finally, model evaluation is carried out on the test set. The SE U-Net model constructed by the application can realize efficient and accurate concrete phase segmentation in the concrete phase segmentation task, and the mIoU reaches 88.5%, which is 9.7% higher than that of the U-Net model. Meanwhile, through the lightweight design, the model parameter quantity and the calculation resource consumption are reduced.

The invention discloses a notebook computer four-side size detection device, and relates to the technical field of notebook computer detection, and the notebook computer four-side size detection device comprises a main body, and a material box assembly line mechanism, a material loading and taking mechanism, a material feeding module, a gap detection mechanism, a step difference detection mechanism, a material discharging module, a material unloading and taking mechanism and a material discharging and placing mechanism which work cooperatively in sequence. According to the invention, the detection efficiency is greatly improved, through automatic material circulation and detection process design, the detection of gaps and step sizes of four sides of the notebook computer can be completed within 13 seconds, and compared with manual detection (the time consumed by a single machine is more than 30 seconds) and semi-automatic equipment, the takt requirement of large-scale production is met, the detection precision is improved, and the detection cost is reduced. The multi-axis moving module is matched with the industrial CCD camera and the 3D camera module, the stable positioning mechanism is combined, the detection precision is high, the high-precision assembly requirement of 0.05 mm-level tolerance can be met, the manual intervention requirement is reduced, product surface scratching possibly caused by secondary positioning is avoided, and the defective product rate is reduced.

The invention provides a multi-source heterogeneous data fusion driven bridge tower construction scene digital twin modeling system and method. The system comprises a knowledge graph construction module, a multi-source heterogeneous data association fusion module and a bridge tower construction scene modeling module. According to the method, accurate fusion of multi-source heterogeneous data is realized through semantic guidance of the knowledge graph, the problems of data redundancy and semantic fracture are solved, and time-space consistency of a data set is guaranteed. And on the basis of a verification standard and a quantization threshold value, constructing and updating a control scene in the whole process, and ensuring that a virtual scene is highly matched with a physical construction scene. And a static framework building, dynamic local increment or alternative updating mode is adopted, so that the efficiency is greatly improved, and real-time change of construction is adapted. A guiding mechanism and a verification standard are automatically generated, only a special scene needs a small amount of manual calibration, manual dependence and errors are reduced, and modeling semi-automation is achieved. The digital twinborn model provides a reliable decision basis for construction management and control, helps to reduce cost and increase efficiency, and improves construction safety and quality stability.

The invention discloses a method for automatically penetrating transverse steel bars up and down for an intelligent mesh welding machine, and relates to the technical field of intelligent mesh welding machines. The problems that transverse rebar penetrating of a traditional intelligent mesh welding machine mostly depends on manual or semi-automatic operation, efficiency is low, and precision is difficult to control are solved. Production data are integrated and sensor signals are processed through the PLC, intelligent management and control of transverse steel bar up-and-down automatic steel bar penetrating are achieved, automatic decision making of a steel bar penetrating mode is achieved, manual intervention is reduced, the intelligent production characteristics of equipment are adapted, the automatic management and control requirement of an intelligent welding machine is met, and the production efficiency is improved. Posture calibration and counterpoint detection are achieved based on the detection sensor assembly, it is ensured that errors meet the + / -10 mm requirement by combining upper and lower layer supporting structures of the positioning die, the welding requirements of ribbed steel bars are met, the welding quality is stably improved, the takt of four seconds of every eight welding spots is synchronous, the remodeling time is shortened, feeding interruption is avoided, and the requirements of flexible production and continuous operation are met.

An apparatus, system, and method for improving the efficiency of medication distribution within a healthcare facility. In particular, the invention provides parallel dispensing of multiple medications from a network of modular, connected, and automated or semi-automated dispensing modules. The method is directed toward receiving and executing multiple collection, dispensing, and delivery orders simultaneously while operating in a healthcare facility. The invention may sort medications for storage and subsequent delivery while rapidly servicing a high volume of pharmacy orders. The invention includes visible, electronic marking of data which may indicate its stored medication and final destination. The system tracks each unit as it transports medication throughout the facility. The invention organizes the stored medication using removable packaging which allows identification and verification of dosage by the system while being easily accessed by staff.

The invention relates to the technical field of pipeline welding, in particular to an automatic welding device for a hot-melt plastic pipeline and an operation process of the automatic welding device. Comprising a vehicle body, a walking device is arranged at the bottom of the vehicle body, the walking device can drive the vehicle body to move, a welding space is reserved at the bottom of the vehicle body, a plastic pipeline is placed in the welding space for welding, and a clamping and lifting tool is arranged on the upper side of the welding space of the vehicle body. The clamping and lifting tool is used for clamping a plastic pipeline and can move in the length direction and the vertical direction of the vehicle body, clamping devices are arranged on the two sides of the vehicle body in the length direction and used for clamping the plastic pipeline in the welding space, and a support is further arranged on the portion, on the upper side of the welding space, of the vehicle body. A support is arranged on the vehicle body, a heating device is arranged on the support, the heating device is detachably connected with the support, a three-axis mechanical arm is arranged in the middle of the vehicle body and used for clamping the heating device to heat a plastic pipeline, and semi-automatic welding can be achieved.

The invention discloses an automatic preparation system and method for sleeves, and the system comprises a cloth unwinding device and a cloth traction device, and the cloth unwinding device and the cloth traction device are matched for feeding materials to a sleeve folding station; a sleeve cutting device and a sleeve folding and overturning combined device are arranged on the sleeve folding station; a gluing device is arranged on the sleeve cutting device; and the sleeve folding, overturning and combining device is used for transferring the folded sleeves to the sleeve transferring and discharging device. The full-automatic sleeve manufacturing machine has the full-process functions of cloth unwinding, traction, cutting and gluing, folding and overturning, transferring and discharging and the like, and high automation of sleeve manufacturing is achieved through precise cooperation of all the devices. Compared with traditional manual operation or semi-automatic equipment, manual intervention links are greatly reduced, the problems that manual operation is low in efficiency, prone to fatigue and the like are effectively solved, the production efficiency is remarkably improved, and continuous and stable large-scale production can be achieved.

The utility model relates to the technical field of hot pressing, in particular to a translation type cold pressing and hot pressing all-in-one machine which comprises a machine table, a support, a hot pressing mechanism, two supporting tables and a cold pressing mechanism, the hot pressing mechanism and the cold pressing mechanism can reciprocate above the two supporting tables, and the cold pressing mechanism comprises a cold pressing plate, an elastic telescopic assembly and a sliding piece. The cold pressing plate is located between the hot pressing mechanism and the supporting table, elastic telescopic assemblies are arranged on the two sides of the cold pressing plate, and the sliding pieces are arranged at the bottom ends of the elastic telescopic assemblies and are in sliding connection with the machine table. The hot-pressing and cold-pressing forming device belongs to semi-automatic equipment, is simple in structure and low in production cost, and can complete hot-pressing and cold-pressing forming processing without transferring or carrying a single piece of cloth among different stations through switching movement of the hot-pressing mechanism and the cold-pressing mechanism on the two supporting tables, so that the labor intensity of operators is reduced, double-station processing production is realized, and the production efficiency is improved. And the efficiency of hot pressing and cold pressing shaping processing is greatly improved.

The invention discloses a semi-automatic game server pressure test system, which can automatically generate batch test accounts and simulate real player behaviors through a robot control module, greatly improves the test efficiency, reduces manual configuration work, more accurately evaluates the performance and stability of a server, and at the same time, reduces the labor intensity of a user. The robot login / exit interval is controlled to support the cyclic pressure test, the test comprehensiveness and reliability are enhanced, the server parameter dynamic configuration module can modify key parameters in real time, dynamically adjust the maximum number of online people of the server and the branching switching rule, simulate various scenes and load changes, help to evaluate the performance under high load, and improve the performance of the server. Branch configuration and load states are displayed in real time, visual data and feedback are provided, problems can be found and optimized in time, a test rule engine supports multi-stage pressure test parameter configuration, collapse critical points are automatically recognized, key indexes are recorded, test flexibility and configurability are improved, and a powerful basis is provided for optimization and improvement.

The utility model belongs to the technical field of spot welding, and particularly relates to a multi-unit transformer spot welding machine which comprises a support, supporting plates are fixedly installed at the two ends of the top of the support, and an extrusion assembly used for positioning a workpiece is arranged above the supporting plates. An adjusting assembly used for adjusting the position of the extrusion assembly is arranged at the top of the supporting plate, and a spot welding assembly used for welding the workpiece is arranged at the top of the supporting plate. The adjusting assembly comprises side plates, the two ends of the supporting plate are connected with the side plates in a sliding mode through guide rails, and a fixing plate is fixedly installed at one end between the two sets of side plates, semi-automatic welding of a frame body of a refrigerator shelf is achieved, convenience is improved, and the labor intensity of workers is reduced to a certain degree.

The application relates to a retractor semi-automatic assembly line and a control method thereof, and belongs to the technical field of retractor assembly equipment. The retractor semi-automatic assembly line comprises a conveying line, and support plate marking assemblies, screw shaft locking and oiling assemblies, cover plate pressing assemblies and inner cover pressing and balancing assemblies are sequentially arranged on the side edges of the conveying line. The support plate marking assemblies comprise a push-in pressing device, and a roller oiling station is arranged at the front end of the push-in pressing device. The screw shaft locking and oiling assemblies comprise a screw shaft height measuring station, a screw shaft locking station is arranged on the side edge of the screw shaft height measuring station, and a main body oiling station I is arranged at the front end of the screw shaft height measuring station. The cover plate pressing assemblies comprise a grabbing station, a pressing station is arranged on the grabbing station, and a main body oiling station II is arranged at the front end of the grabbing station. The inner cover pressing and balancing assemblies comprise a pressing tool, a CP height detection station is arranged at the front end of the pressing tool, and a balancer pressing station is arranged at the rear end of the pressing tool. The retractor semi-automatic assembly line adopts multiple stations to realize the integration of oiling, assembly pressing and detection, and realizes a retractor semi-automatic assembly process.

This utility model relates to the field of desks and discloses a height-adjustable desk. It includes a lifting frame, a desk panel, and a spring-loaded locking pin assembly. The desk panel has four spaced-apart docking posts at its bottom, and the lifting frame has four spaced-apart docking slots at its top. The four docking posts are inserted into their corresponding slots. Two sets of spring-loaded locking pin assemblies are installed on the lifting frame. Each set of spring-loaded locking pin assemblies is suitable for locking two corresponding docking posts, making it difficult for the docking posts to be pulled out of the docking slots. The spring-loaded locking pin assembly includes a knob and two locking pins. Both locking pins are connected to the knob, which is rotatably connected to the lifting frame and exposed to the air for rotation. Rotating the knob will cause the two locking pins to move synchronously towards or away from each other. This utility model allows locking two docking posts by rotating a single knob, reducing operation steps, achieving semi-automation during locking, improving the convenience of assembly, and enhancing the stability of the desk panel and lifting frame after installation.

The present invention introduces the first semi-automated mobile reactor designed for making household and personal care products. It consists of two stands: one for holding a mixing container and the other for supporting a motor, hoppers, and a paddle mixer. The motor is placed in front of the hoppers and connected to the paddle mixer through a shaft suspended in the mixing container, which the paddle mixer has three blades, one of which is perforated for improved dispersibility of chemical ingredients. The control panel, attached to the second stand, includes components like a circuit breaker, on / off button, timer switch, solenoid valve, indicator switch, and emergency stop button. Chemical ingredients are fed and dispensed into the hoppers through the solenoid valve, regulated by the timer.

The invention relates to the technical field of new energy automobile production welding, in particular to welding equipment for new energy automobile production, which comprises a positioning plate, positioning holes are equidistantly formed in the side surface of the positioning plate, a product piece and a welding assembly are arranged on the upper side of the positioning plate, and a positioning assembly is arranged on the upper side of the positioning plate corresponding to the product piece. The welding assembly comprises a double-shaft transferring module, a transverse electric sliding table, a micro mechanical arm and a welding gun. By arranging the welding assembly and the positioning assembly, semi-automatic workpiece locking operation can be carried out, corner and height positioning operation can be carried out in cooperation with all sensors in the locking process, automatic welding point-to-point path operation is achieved, the welding distance can be detected in real time during welding, fine adjustment compensation can be carried out, and the welding quality is guaranteed; and the device is perfectly adapted to production of research and development of small-batch new products, can be used after being adapted to adjustment of different data, does not need fixture modification and self-establishment of a welding coordinate system, saves time and labor, and is convenient to operate.

The application discloses a kind of integrated robot latex particle automatic ultrasonic dispersion equipment, including rack, quick-change head device, workpiece fixture rack, ultrasonic water bath and robot;Workpiece fixture rack is equipped with transfer clamp and placement slot, and the movable end of robot is equipped with clamp joint;Robot can drive clamp joint to butt joint or release quick-change head device, and drive quick-change head device to carry out secondary pressing positioning to sample bottle in placement slot;Robot can drive clamp joint to butt joint or release the transfer clamp of workpiece fixture rack, and robot can drive workpiece fixture rack and sample bottle thereon to carry out multidimensional composite motion in ultrasonic water bath.The equipment can realize the semi-automatic linkage operation of "feeding-positioning-ultrasonic dispersion-discharging", reduce manual intervention, guarantee the stability and consistency of latex particle dispersion in sample bottle in large-scale mass production process, significantly improve production efficiency and product quality, and provide key technical support for process upgrading of in-vitro diagnosis industry.

The invention provides an automatic assembling machine for a projection lens, and relates to the technical field of optical lens equipment.The automatic assembling machine comprises an assembling module, a lens feeding module, a lens taking and placing module, a film feeding module, an ejection module, a film taking and placing module and a positioning module which are arranged on a workbench. According to the lens and film assembling device, the integrated full-process operation from feeding, taking, placing, positioning to final assembling of the lens and the film is achieved, all the modules are tightly matched, manual intervention can be reduced, positioning deviation caused by manual installation or semi-automatic carrying in the traditional technology is avoided, and therefore the assembling precision is improved.

This utility model proposes an electronic detonator bundling system, including a base, a telescopic column fixedly installed at the top of the base, the telescopic column being inclined, a fixing cylinder fixedly installed on the side wall of the telescopic column, a foot switch electrically connected to one side of the base, a plug-in cylinder sleeved on the fixing cylinder, and multiple first piston cylinders evenly fixedly connected to the inner wall of one side of the plug-in cylinder. After the operator steps on the foot switch, the device stably expands, pushes, and then resets the rubber sleeve, thus smoothly completing the bundling work. The operation is simple and convenient, and the operator does not need to operate with one hand, realizing semi-automation of the bundling work, which improves work efficiency to a certain extent. Moreover, the finished product can be grasped with both hands throughout the process, which can effectively prevent the finished product from loosening again. The rubber sleeve is in place in one step without secondary adjustment, and the finished product is neat and tidy after bundling.