3521 results about "Workstation" patented technology

A data processing system for providing a service to extract information from a resource includes: a network interface for communicating over a computer network; a scraper tool to receive user instruction specifying a target resource and to extract content from the specified resource, wherein the user instruction further specifies a desired restructuring of the extracted content; and a prompt generator to structure the extracted content into a prompt for an Artificial Intelligence (AI) model, the prompt further directing the AI model to restructure the extracted content based on the user instruction. The prompt generator is to call the AI model with the generated prompt. The service is to receive restructured content from the AI model and provide the restructured content to a workstation submitting the user instruction, the restructured content presenting the content of the target resource in a form according to the user instruction.

The invention relates to the technical field of path planning, and discloses a path planning method and system of an AGV (Automatic Guided Vehicle) for a silver electrolysis process workshop. The method comprises the following steps: carrying out environment characteristic acquisition and electronic map construction on a silver electrolysis process workshop to obtain a silver electrolysis process workshop electronic map; calculating an initial optimal path of the AGV from the current position to the target workstation; detecting the actual driving resistance in the execution process of the initial optimal path to obtain a path correction parameter; performing local adjustment to obtain an energy-saving safe path; and in the process that the AGV executes the energy-saving safe path, the front moving obstacle and the electrolyte leakage area are monitored in real time, and a temporary detour path is generated. According to the application, the path planning is more suitable for the actual environment characteristics of the silver electrolysis workshop, the emergency situation of the silver electrolysis workshop can be timely handled, the equipment safety and the production continuity are guaranteed, the no-load rate of the AGV is reduced, and the overall logistics efficiency of the silver electrolysis workshop is improved.

The invention relates to the technical field of resource allocation, in particular to a data preset learning-based dynamic material allocation system for multiple stations, which comprises a topology modeling module, a demand clustering module, a strategy generation module and a decision optimization module. According to the method, laser ranging and dynamic time warping are combined, the work station layout is converted into a moving time consumption parameter, a space correlation coefficient is adjusted according to a difference value proportion, a topological relation matrix is updated in real time, DTW quantifies the mode similarity of a demand interval standard deviation and a usage variable coefficient, a multi-dimensional demand feature vector is constructed, and the prediction and actual consumption matching degree is improved; the method comprises the steps of establishing a response capability curve based on OEE data, dynamically associating residual capacity with demand characteristics through linear programming, realizing strategy pre-generation and capacity early warning, constructing a cooperation unit through a Hungary algorithm, matching material and equipment parameters through cosine similarity, triggering strategy reconstruction, synchronously updating topology, forming a closed-loop optimization system and enhancing the cross-station dynamic response capability.

The invention discloses a production line load balancing method based on an intelligent optimization algorithm, and the method comprises the following steps: S1, collecting the data of each station of a production line in real time, and carrying out the verification of the validity of the data; s2, performing multi-dimensional correlation analysis on the real-time dynamic data set; s3, multi-scale feature extraction is carried out through a Transform self-attention mechanism; s4, determining a real-time optimization value of the target weight coefficient by adopting a dynamic adaptive adjustment mode; s5, performing iterative optimization on the production task load of each station through a whale optimization algorithm, and generating an adjustment sequence of task allocation of each station in real time; s6, a task load active exchange strategy between stations is adopted, and a scheduling instruction is output; and S7, performing dynamic regulation and control on the production task executed by each station according to the scheduling instruction, and forming a real-time closed-loop feedback production line load dynamic balancing system. Through self-adaptive adjustment and a real-time feedback correction mechanism, the production efficiency and the equipment utilization rate are improved, and the energy consumption is reduced.

The invention belongs to the field of intelligent music generation, and relates to an intelligent music production system and method based on a model context protocol, and the system comprises a large language model, the model context protocol, and a digital audio workstation execution layer. The large language model is used for deconstructing a natural language instruction into structured operation logic and generating a semantic instruction based on the music knowledge base; the semantic instruction at least comprises a device parameter and a chord sequence; the model context protocol is used for compiling the semantic instruction into a JSON command and synchronizing working state data of the digital audio workstation in the digital audio workstation execution layer to a large language model so as to update a model context; the model context comprises track configuration, effect chain parameters and time sequence positioning information of the digital audio workstation; the digital audio workstation execution layer is used for converting the JSON command into music operation to obtain a music operation file; a man-machine cooperative music production mode is reconstructed, and the quality of music production is improved.

The invention discloses a full-automatic grinding method and system for steering knuckle flash based on 3D vision, and relates to the technical field of casting post-processing automation. A trimming-free direct polishing process is innovatively provided, a casting is scanned in real time through a high-precision 3D visual system, a flash space molded line is accurately captured, and one-key calibration of a camera, automatic generation and dynamic simulation of a flash path, multi-tool intelligent switching and self-adaptive adjustment of residual height are achieved in combination with self-developed off-line programming software. According to the system, a robot is adopted for grabbing workpieces to cooperate with a fixed type multi-cutter work station, a disordered feeding technology is integrated for 2D / 3D visual guiding grabbing, workpiece deformation and die difference are effectively dealt with, and flash residues are thoroughly eliminated. The method is characterized in that visual scanning, path planning and execution control are seamlessly fused, the dependence of traditional automatic grinding on the trimming process is broken through, the yield and efficiency are remarkably improved, and the industrial problem of full-process automation of casting flash is solved.

The utility model discloses a progressive die for a round plug terminal, which relates to the technical field of progressive dies, and adopts the technical scheme that the progressive die is applied to manufacturing of the round plug terminal, and the round plug terminal comprises a connecting part, a wire clamping part and an inserting column part; the progressive die comprises an upper die body and a lower die body, a conveying system used for conveying a material belt is arranged between the upper die body and the lower die body, and the upper die body and the lower die body are provided with a knife edge work station set used for cutting workpieces on the material belt; and the forming work station group comprises a bending work station, an edge rolling work station and a puncturing work station and is used for forming the wire clamping part and the column inserting part. The progressive die has the beneficial effects that the progressive die in the scheme can be used for continuously manufacturing the round plug terminal, and the production efficiency of the round plug terminal is well improved. By arranging the scrap bouncing prevention structure at the plug end blanking station, waste bouncing can be effectively avoided, and therefore it is guaranteed that follow-up machining is not affected.

The invention belongs to the field of computer vision, and particularly relates to a method, a device and a system for monitoring suction-scrabbling falling of a cleaning robot, and the method comprises the following steps: 1) a rear-view camera arranged on the cleaning robot collects suction-scrabbling images, and carries out data labeling; 2) building a deep learning labeling and training environment in a server or a workstation, selecting a YOLOv8 target detection network model, sending labeled suction and scrabbling image data into the model for training, and performing format conversion and quantization on the model after the training is completed; 3) inputting an image acquired in real time into the trained target detection model, and judging whether the suction rake falls off or not; (4) if the suction scrabbling device falls off, the upper computer sends falling abnormal information to a robot controller of the cleaning robot, and the robot controller controls a hub motor to brake emergently; and meanwhile, the upper computer transmits the abnormal information of the suction-scrabbling falling and the position coordinate information of the robot in the global map to the operation and maintenance personnel through the cloud platform and then transmits the abnormal result and the position information of the suction-scrabbling falling to the operation and maintenance personnel.

The invention relates to the technical field of industrial robot control, and discloses a robot-positioner PLC cooperative communication control method and system.The method comprises the steps that an initial cooperative trajectory entropy model is built by receiving a robot tail end pose sequence and a positioner target angle sequence, and the actual pose, servo feedback signals and welding energy flux density parameters are collected in real time; generating a time-varying weight matrix and compensation intensity, performing dynamic optimization and fault-tolerant correction on the trajectory based on the initial collaborative trajectory entropy model, and outputting a collaborative control instruction; the problems of communication delay, limited positioning precision, poor system compatibility, weak fault-tolerant capability and the like in a traditional control method are effectively solved, high-precision synchronous control over the welding robot system and the positioner is achieved, and the production efficiency and the welding quality of the flexible welding workstation are remarkably improved.

The invention provides a semiconductor equipment task scheduling control method and system, equipment and a medium, and the method comprises the steps: collecting multi-factor operation data and operation task data of an operation arm, splitting a task into a plurality of sub-tasks based on the motion type of the operation arm, and carrying out the task scheduling of the operation arm based on a task unique identifier, a sub-task identifier and an operation arm identifier; associating the multi-factor operation data with the operation task data, and constructing a mapping structure; constructing a node set based on the mapping structure, screening the node set to form a candidate node pair set, executing conflict detection according to a conflict detection strategy for each node pair in the candidate node pair set, generating a conflict edge set, and generating a path conflict graph based on the node set and the conflict edge set, the conflict detection strategy comprises station conflict detection, time conflict detection and space conflict detection; and dynamically adjusting the tasks in the candidate sub-task set in real time based on the path conflict graph and the conflict resolution strategy.

The invention provides a dynamic storage intelligent sorting method, system and equipment based on production takt, and a medium, which can improve the adaptability of the sorting system to the production takt, optimize the inventory circulation efficiency, reduce the risk of production interruption caused by material mismatching or supply delay, and improve the production efficiency. The method comprises the following steps: collecting real-time parameters of production takt of each key station on a production line, and obtaining demand information of target materials to be sorted; based on the real-time parameters of the production takt and the demand information, the production takt prediction parameters and the material demand prediction quantity of each key station in a future period of time are predicted, and in combination with the current inventory state, the equipment availability and the preset optimization parameters, a dynamic storage location adjustment plan and an optimal sorting task sequence currently suitable for a production line are generated and are used as the basis; and the flexible dispatching mechanism is dispatched to dynamically adjust the physical positions of the corresponding materials, then the sorting mechanism is called to sort out the target materials with the specified number from the dynamically adjusted storage locations, and then the target materials are sorted to the corresponding target stations.

The present invention discloses an automated production line for loading, automatic assembly, riveting, and testing of unloading, including: a feeding mechanism, an assembly and riveting device, an oil-rubbing and washer-installing device, and a testing device. The feeding mechanism includes a first feeding mechanism and a second feeding mechanism, and the first feeding mechanism and the second feeding mechanism are respectively arranged on both sides of the assembly and riveting device, the oil-rubbing and washer-installing device and the testing device are sequentially arranged behind the assembly and riveting device, and a conveying mechanism is arranged between the oil-rubbing and washer-installing device and the testing device. The automated production line for loading, automatic assembly, riveting, and testing of unloading described in the present invention combines loading, assembly, riveting, oil-rubbing and washer-installing, and testing on one production line, thereby eliminating the time for manual transfer between various workstations, and realizing automation in the entire process, greatly improving the efficiency of the entire product processing, shortening the product production cycle, and allowing it to better meet production needs.

A splice equipment assembly includes two routing paths along opposite sides of a splice region. The two routing paths do not cross. The two routing paths do not extend circumferentially around the splice region. The two routing paths provide adequate slack to allow a splice tray to be removed from the splice region and moved to a workstation outside of the splice equipment assembly. Multiple splice equipment assemblies can be mounted to the same rack (e.g., at a front and rear of the rack).

The present invention discloses a mobile terminal punching mechanism, including a main support seat, a bottom plate, a transverse sliding block, a terminal mold transverse driving device, a terminal feed track, a terminal mold seat, an upper terminal punching knife, an upper terminal punching knife punch, a lifting driving seat, an upper terminal punching knife lifting driving device, a lower terminal punching knife and a terminal feed toggle device. The present invention is reasonably designed, and the terminal mold transverse driving device can drive the entire terminal mold installed on the transverse sliding block to move laterally, so that the upper terminal punching knife and the lower terminal punching knife can move and punch the terminal in sequence. The present invention can punch the terminal while moving, without the need for a wire clamp to move, which is convenient for other workstations or other mechanisms to perform corresponding operations during the temporary pause of the wire clamp, greatly improving the production speed and production efficiency.

The invention provides a dynamic factory production line balancing method and system based on adaptive control, and the method comprises the steps: obtaining a real-time operation state set of a production line, carrying out the work station correlation feature analysis processing of the real-time operation state set of the production line, generating a work station correlation feature matrix, carrying out the production line bottleneck recognition based on the work station correlation feature matrix, and carrying out the dynamic factory production line balancing. Generating a bottleneck station feature set, wherein the bottleneck station feature set comprises bottleneck station identifiers and corresponding operation parameter deviation features and material overstock features; and generating a production line dynamic adjustment strategy set according to the bottleneck station feature set, wherein the production line dynamic adjustment strategy set comprises a parameter adjustment strategy and a material distribution strategy for the bottleneck station. According to the invention, the timeliness and effectiveness of production line balance control can be improved.

The method comprises the steps of dividing a production line logic group through a dynamic load balancing algorithm, allocating hardware resources, and constructing a fault prediction model based on an LSTM neural network to optimize test parameters. Binding the test result, the SPD serial number and the work station ID number, and uploading the test result, the SPD serial number and the work station ID number to an MES system through an asynchronous message queue; the system integrates a modularized test configuration unit, a multi-dimensional data analysis platform, an authority management module and a self-adaptive interface device. According to the invention, high automation and intelligentization of the test process are realized, the test efficiency, the data accuracy and the system safety are obviously improved, the manual intervention cost is effectively reduced, the fault prediction capability is improved, and a comprehensively optimized technical solution is provided for a semiconductor memory test production line.

The invention relates to a flexible combined machine tool control system. The system comprises a multi-channel user interface module, a servo parameter monitoring module, a workpiece coordinate system management module and the like. The multi-channel user interface module is associated with a work station by means of a dynamic binding technology, automatically generates an interactive interface according to configuration parameters and visually configures an enabling state. And the servo parameter monitoring module displays and adjusts the shaft motion parameters in real time and adjusts the shaft motion parameters on line, the deviation is corrected through a self-adaptive algorithm, coordinate synchronization of multiple workstations is achieved through the algorithm and a batch writing function, and mixed analysis of an NC program and a user-defined instruction is supported. The hardware abstraction layer module encapsulates a heterogeneous control card interface, dynamically allocates hardware resources, and coordinates time sequence linkage of each part by using a state machine model. The system also combines visual inspection to correct cutter compensation parameters, and double safety protection is set. According to the invention, the problem of low equipment cooperation efficiency in multi-station flexible processing is effectively solved, and the system compatibility and the processing precision are improved.

The invention discloses an intelligent manufacturing workstation safety control system oriented to man-machine cooperation, and belongs to the technical field of intelligent manufacturing and man-machine cooperation. The system comprises a multi-modal sensor array, a personnel state sensing module, a robot state monitoring module, a dynamic safety area adaptive calculation module, an intention prediction and risk assessment module, a cooperative control decision module and an execution feedback module. The dynamic safety area self-adaptive calculation module constructs geometric representation of a man-machine interaction space based on a topological manifold theory, and calculates a dynamic safety boundary in real time; the intention prediction and risk assessment module is fused with multi-source information to predict a future trajectory of a person and assess a collision risk; the cooperative control decision module performs multi-objective optimization with safety and efficiency as double objectives to generate an optimal adjustment strategy, the system realizes prospective safety control based on intention prediction, the cooperative efficiency is improved by 25%-45% on the premise of guaranteeing safety, and the working safety accident rate is reduced to be close to zero.

The invention relates to a packaging method for modeling and production unit combination of digital twin virtual equipment, which realizes modeling of the virtual equipment through an abstract process from top to bottom, and ensures high cohesion packaging of key attributes, states and behaviors of the virtual equipment in combination with an information hiding and uniform interface mechanism. A production unit-level combination and hierarchical packaging framework is further constructed based on the equipment model, and recursive combination and interoperation of multiple layers of modules are realized through unified station-level, production line-level and workshop-level interfaces and scheduling logic; according to the method, the modeling and packaging process of the digital twin virtual equipment is defined, the high cohesion packaging and interface uniformity of the model are highlighted, and cross-level combination and scheduling logic design are supported, so that the consistency and the implementability of the model in the system integration, evolution extension and module multiplexing processes are remarkably improved, and the modeling efficiency of the digital twin virtual equipment is improved. And universal and normalized technical support is provided for hierarchical construction and efficient deployment of virtual equipment in an intelligent manufacturing system.

The utility model discloses a DBC automatic test workstation, which comprises a test mechanism, a movable truss and a machine table, the test mechanism comprises a first test station, a second test station and a third test station, and the first test station, the second test station and the third test station are all installed on the machine table. The two ends of the movable truss are installed on the two sides of the machine table, the moving path of the movable truss is arranged above the first testing station, the second testing station and the third testing station, the movable truss is used for testing the bonded DBC module, the equipment can integrate various testing machines, and the testing efficiency is improved. Detection items such as safety testing, static testing and dynamic testing are automatically completed according to program setting, different testing processes can be achieved by calling testing programs, meanwhile, the equipment has the function of recording and storing testing data, the testing items are flexibly configured, and the testing efficiency is remarkably improved.

The invention relates to the technical field of data transmission, and discloses a USB interface management and control method and device for information security protection, and the method comprises the steps: recognizing a USB connection state, collecting the information of a to-be-connected device, and carrying out the identity verification; collecting a historical transmission task of the to-be-connected equipment, extracting a historical task index, and determining the available capacity of a transmission channel; a real-time transmission task is collected to determine real-time structure information and real-time content information, a transmission risk value is determined, and whether the available capacity of a transmission channel is adjusted or not is judged; when the adjustment is judged to be carried out, collecting a characteristic index, comparing the characteristic index with a historical adjustment scheme, and determining an adjustment coefficient according to a comparison result to adjust the available capacity of the transmission channel; and communicating the to-be-connected equipment with the workstation by using the adjusted available capacity of the transmission channel. According to the method, the information security protection capability is enhanced, and potential safety hazards and fault risks are reduced through resource scheduling and risk management.

The invention discloses a definition calibration method and device, a storage medium and computer equipment. Comprising the following steps: acquiring a to-be-tested camera module shooting an image card to obtain an image card image; identifying a plurality of statistical areas with equivalent texture features in the graphic card image; calculating the definition of the statistical area; and comparing the definition of the statistical area at the same preset test position with the reference value, and / or comparing the definition of the statistical area at different preset test positions, and determining a calibration result of the to-be-tested camera module. According to the method, quantitative evaluation of camera performance definition and uniformity can be realized through multi-region definition statistical comparison on the same graph card image, test errors during cross-module, cross-region and cross-time sequence detection are avoided, accurate definition verification is realized, additional arrangement of an independent work station and a module disassembly and assembly process are avoided, and the detection efficiency is improved. One-button four-corner definition quantitative comparison is realized, and time, manpower and space costs are remarkably reduced.

The utility model provides a powder assembly production line for eye shadow production, which comprises a support, a conveying mechanism arranged on the support, a plurality of eye shadow boxes arranged on the conveying mechanism in a linear array, and a plurality of powder assembly work stations arranged along one side of the conveying mechanism in a linear array. The powder assembling work station comprises a cabinet, a mechanical arm mechanism arranged in the cabinet, a conveying assembly arranged close to the mechanical arm mechanism and an upper computer arranged on the cabinet, and eye shadow powder blocks are arranged on the conveying assembly; the conveying mechanism is controlled through a speed regulator, the conveying assembly is controlled through a PLC, the mechanical arm mechanisms are all connected to the upper computers through doMot ion controllers, and the conveying mechanism and the upper computers are all connected to the main computer. According to the powder combining production line for eye shadow production, eye shadow powder blocks of different colors and types can be automatically placed in the eye shadow box, time and labor are saved, the production efficiency is greatly improved, and the production cost is reduced.

The invention discloses a hydropower station computer monitoring operator station fusion system, which comprises a controlled plant computer monitoring system and an operator station fusion system, and is characterized in that a fusion operator workstation is directly connected with a local switch and a controlled plant switch through double independent network interfaces; a man-machine interface module is fused to uniformly manage monitoring and control of cross-plant equipment; and the data server and the switch adopt a dual-computer redundancy architecture and STP / LACP link redundancy, and are combined with AES-256 encryption and instruction bidirectional verification to improve the security. The system fuses multi-source data through an improved adaptive weighted Kalman filtering algorithm, predicts an equipment state trend by using an LSTM model, supports local / controlled priority mode switching, and automatically triggers data caching and instruction degradation when a network is abnormal. An original system does not need to be transformed, through physical direct connection and logic fusion, the framework is simplified, the operation and maintenance cost is reduced, efficient integration and reliable redundancy of multi-plant monitoring functions are achieved, and the system is suitable for large hydropower stations and one-plant multi-station scenes.

According to the electrolyte characterization testing work station, the electrolyte characterization testing system and the electrolyte characterization testing method, unmanned electrolyte characterization testing can be achieved through automatic design, the characterization testing process is accurately controlled, the testing efficiency is greatly improved, repeated testing can be autonomously completed, and the working efficiency of the electrolyte characterization testing work station is greatly improved. Standardized test data are collected, and high-throughput and standardized full-data-link management is achieved.

Embodiments of the present application provide a storage and retrieval system, comprising: a workstation, configured to sort or pick a target article for a picking object; a handling device, configured to move out the target article from the workstation or transfer the target article to the workstation; a vehicle, provided with storage locations; and a placing-and-retrieving device, suspended on a rail on one side of the vehicle, the placing-and-retrieving device comprising: a raising / lowering mechanism movably arranged on the rail and moving on the vehicle along the rail, and a placing-and-retrieving mechanism, arranged on the raising / lowering mechanism, moving along the raising / lowering mechanism, and configured to transfer the target article between the vehicle and a target vehicle or the handling device.

The invention relates to the technical field of data processing, in particular to a generator circuit breaker box production line monitoring method and system. The method comprises the following steps: acquiring multi-modal data of each station on a production line, and extracting station fusion features; constructing a graph network, and obtaining a station state vector of each station containing the accumulated influence of the upstream process through the graph network; inputting the station state vectors into a prototype network and a reconstruction network trained by normal working condition data in parallel; and for any box body on the production line, the station state vectors corresponding to the stations are connected in series according to a production time sequence, a production quality evolution track of the box body is constructed, the evolution track is compared with a reference track generated based on a plurality of standard workpieces under a normal working condition, and a final quality evaluation index of the box body is obtained. The method has the effect of improving the quality monitoring precision.

A modular inspection assembly is designed for automated inspection of workpieces in various manufacturing environments. The system includes a camera mounted on a linear rail with a carriage, allowing movement along one or more axes to enable adjustable positioning of the camera relative to an inspection target. A gimbal system provides rotational movement of the camera around one or more degrees of freedom, facilitating the capture of various inspection angles. An integrated AI industrial computer and image processing unit manage the positioning, movement, and operation of the camera, linear rail, and gimbal system. This setup allows for both discrete, preconfigured inspection poses and continuous dynamic inspection through tracking shots. The modular design ensures flexible and real-time inspection capabilities, enhancing quality control and adaptability across different manufacturing processes. The system is particularly suited for environments requiring precise inspection of complex assemblies, where traditional fixed inspection setups may fall short.

The invention provides an automatic production station working hour statistical system and method based on near field communication, the system comprises five layers of architectures including an identity recognition layer, a data acquisition layer, an edge computing layer, a cloud service layer and a terminal interaction layer, and the method completes the steps of initialization, NFC interaction triggering, multi-mode mistaken touch prevention verification and the like by means of the system. NFC, a sensor and a face recognition technology are fused, core modules such as task intelligent matching, energy consumption-man-hour linkage accounting and cross-station collaborative man-hour splitting are designed, and the system further has the functions of offline intelligent caching and multi-dimensional man-hour analysis. According to the invention, automation and precision of man-hour statistics are realized, single-station standardization and multi-station collaborative production scenes are adapted, data are ensured to be reliable and free of loss, deep fusion of production data is realized, enterprise hardware and management costs are reduced, and the intelligent manufacturing fine management level is improved.

The invention relates to a multi-robot chemical synthesis real-time scheduling control method based on MAS, and the method enables chemical synthesis resources to be mapped into intelligent agents with different functional attributes, and carries out the deep improvement through employing an MAS optimization scheduling mechanism. By carefully constructing an MAS real-time scheduling architecture model, optimizing a CNP negotiation mechanism and designing an efficient real-time scheduling method, efficient collaborative scheduling of diversified small-batch reaction tasks, multi-type robot workstations and multiple mobile robots is realized. Therefore, the overall efficiency and quality of chemical synthesis are remarkably improved, and the cost and the safety risk are reduced.