372 results about "Cooperative work" patented technology

The invention relates to the technical field of robot control, particularly discloses a path planning and dynamic obstacle avoidance control method for multi-task collaborative operation of an industrial robot, and aims to solve the problems of task scheduling conflict, dynamic obstacle response lag and low collaborative efficiency in a multi-robot system. The method comprises the following steps: constructing a task-resource joint scheduling model and generating initial task allocation; planning a conflict-free collaborative path based on an improved space-time A star algorithm; predicting a dynamic obstacle trajectory by using an LSTM network and generating a space-time envelope; constructing a second-order safety barrier function fusing task priorities; local obstacle avoidance re-planning is realized through rolling horizon model predictive control; and the global rescheduling is triggered when the task delay exceeds the limit or the deadlock risk occurs. According to the technical scheme, closed-loop linkage of global task collaboration and local dynamic obstacle avoidance is realized, and the system collaboration efficiency, the obstacle avoidance success rate and the operation robustness are remarkably improved.

The invention relates to the technical field of artificial intelligence, and discloses a contract generation system and method based on multiple agents, and the system comprises a user interaction module which is used for receiving a contract demand inputted by a user and displaying a generation result; the knowledge base module is used for storing and retrieving legal terms, industry specifications and contract templates in a distributed manner; the agent cluster module comprises a demand analysis agent, a law expert agent, an industry expert agent, a risk assessment agent, a language optimization agent and a coordination control agent, the agents interact through a standardized communication protocol, and a coordination strategy is dynamically adjusted based on contract complexity calculated in real time; and full-process automation of contract generation is realized. Through cooperative work of multiple agents, the efficiency and quality of contract generation are improved, the law compliance and industry suitability of the contract are ensured, the risk in the contract generation process is reduced, and the user experience is improved.

The invention relates to the field of power distribution control, and particularly discloses a self-healing control system and method based on multi-agent collaboration, and the system comprises a regional agent and a local agent which are disposed in a power distribution network. Wherein the local intelligent agent is configured to obtain real-time operation data of a monitoring point in the power distribution network, and perform rapid fault detection on the real-time operation data; the regional intelligent agent is configured to fuse the fault analysis information of the plurality of local intelligent agents to determine fault position information when the power distribution network has a fault, generate a self-healing control strategy according to the fault position information, and send the self-healing control strategy to the local intelligent agents for execution; through cooperative work of the distributed intelligent agents, the problems of low response speed, low positioning precision, weak autonomous capability and the like in traditional power distribution network fault management are solved. In addition, the system does not need to depend on centralized control of a master station, can still operate autonomously when communication is interrupted, and improves the efficiency and reliability of fault processing through cooperation of multiple agents.

The invention provides a multi-tenant-based centralized authentication and authorization method, system, device and medium, and belongs to the technical field of security and identity management, and the system comprises a unified portal layer, an authentication layer, an authorization layer, a strategy center and an audit monitoring layer. The unified portal layer receives a user request, identifies and injects a tenant identifier, and executes WAF rule verification, JWT signature verification and Token blacklist check; the authentication layer performs user or client credential verification on different accessed identity sources, generates and issues a JWT, and monitors the life cycle of a token; the authorization layer extracts an authority statement in the JWT and a locally cached strategy snapshot; the strategy center provides centralized storage, version management and visual editing of multi-tenant strategies; through cooperative work of each layer, accurate identification, unified authentication, centralized strategy management and comprehensive audit monitoring of tenants are realized. And the security, the expandability and the management efficiency of the system are effectively improved.

The invention relates to the technical field of underwater robot cooperative control, and provides an elastic consistency control method and system of a multi-underwater robot system. The elastic consistency control method for the multi-AUV system comprises the following steps: discretizing and linearizing the multi-AUV system, introducing a performance index to describe the influence of communication topology on the dynamic behavior of the system, and calculating the elastic consistency of the multi-AUV system on the basis of a centralized optimal control method of a local decoupling system and a robust stability theory. And designing an elastic consistency controller and obtaining controller gain by solving a local algebraic Riccati equation so as to realize consistency control of multiple AUV system states. According to a sparse mode matrix spectrum of a distributed controller, a system stability condition is given, and efficient cooperation and stable operation of a multi-AUV system in a complex underwater environment are ensured. According to the method, the calculation and communication complexity is remarkably reduced, the method is suitable for a multi-AUV cooperative working environment, and a new technical solution is provided for cooperative control of the underwater unmanned system.

The invention discloses an electroencephalogram voice annotation calibration and scheduling system and method for individual differences. The system comprises an electroencephalogram signal collecting and preprocessing module, a voice instruction receiving and recognizing module, a rapid individual calibration module, a dynamic task scheduling module, an electroencephalogram feature online decoding and annotation module and an annotation storage and feedback module. Through cooperative work of the two core modules, namely the rapid individual calibration module and the dynamic task scheduling module, the problems that decoding performance is reduced during cross-subject and cross-task switching caused by individual differences, and multi-task labeling efficiency is low due to task scheduling strategy stiffness are solved accurately. Data persistent storage, model online updating and user interaction feedback are completed through storage, optimization and feedback links, periodic retraining is carried out by utilizing daily successful labeling data through a model continuous learning link, and finally, a zero-threshold individual rapid adaptation and high-efficiency multi-task collaborative labeling target is achieved.

The invention discloses a multi-robot cooperative work method based on a contrast learning role representation reinforcement learning algorithm, and belongs to the field of multi-agent reinforcement learning. Comprising the following steps: each robot obtains observation information of a current environment, and performs time sequence modeling, role modeling, spatial modeling, action selection, award value obtaining and state value generation respectively; in the process, observation information of each robot, global state information of the current environment, a reward value, role representation and the like are stored in an experience playback pool, the steps are repeated, and finally model optimization is completed by using data stored in the experience playback pool. The intelligent agent behavior homogenization problem and the reputation distribution problem in the multi-robot cooperative work process are solved, cooperative contribution between the robots can be effectively quantified, and therefore the robots are stimulated to work cooperatively better in future tasks, the robots preferentially select behaviors beneficial to the whole system, and the overall operation efficiency is improved.

The invention provides an unmanned aerial vehicle and unmanned tractor collaborative operation method, which comprises the following steps: step 1, scanning and constructing a two-dimensional grid map of a field environment through a laser radar installed on an unmanned aerial vehicle, and sending the two-dimensional grid map to an unmanned tractor; step 2, the unmanned tractor carries out field full-coverage path planning based on the two-dimensional grid map and by considering tractor steering constraints; step 3, performing a path tracking task by the unmanned tractor based on field full-coverage path planning; and 4, when the path tracking task is carried out, information obtained by real-time scanning of a laser radar carried by the robot is fused, obstacle detection is carried out, and the path is dynamically updated to be a collision-free path according to the obstacle.

The invention relates to the technical field of information, and discloses a hotel resource digital management method and system and a storage medium. The method comprises the following steps: constructing a unified semantic data model; multi-source data fusion and real-time state perception visualization are realized; cross-department collaborative arrangement is carried out; and intelligent decision support and optimization are realized. According to the invention, a comprehensive digital management platform based on a unified semantic data model, multi-source data fusion, real-time state perception, cross-department collaborative workflow arrangement and intelligent decision support and optimization is constructed. According to the platform, global visualization and real-time dynamic management of each core resource of the hotel are realized, and the operation efficiency and the fine management level of the hotel are remarkably improved. The departments of guest rooms, catering, conference rooms, spare part inventory, human resources, finance and the like do not combat each other, but perform cooperative work based on a unified data view.

The invention relates to the technical field of production management, and particularly discloses a bearing processing productivity optimization and production scheduling system, which comprises a process state sensing module, a dynamic bottleneck identification module, a self-adaptive buffer control module, a collaborative scheduling decision module and a productivity optimization execution module. Through cooperative work of the dynamic bottleneck identification module and the adaptive buffer control module, a static management mode of a traditional fixed buffer area is thoroughly changed. The system can sense the change of a production flow in real time, accurately identify a bottleneck, and dynamically adjust the target inventory level of a buffer area based on a fuzzy control algorithm, so that a buffer strategy can adaptively match a current production state. The problem that upstream and downstream processes wait for each other due to improper arrangement of a buffer area is solved, and passive blockage and material interruption between the processes are converted into active and flexible rhythm cooperation, so that systematic equipment waiting time is remarkably shortened, hidden capacity is released, and the equipment comprehensive utilization rate and output efficiency of a whole production line are improved.

The invention discloses a lightweight spliced bridge vibration monitoring system for cooperative work performance intelligent perception, and belongs to the technical field of bridge structure health monitoring, and the lightweight spliced bridge vibration monitoring system comprises a lightweight targeted sensing subsystem which comprises a plurality of perception assemblies arranged in a targeted manner; the intelligent edge acquisition and transmission subsystem has an independent addressing function and a time synchronization function and is used for preprocessing and lightweight processing; the cloud edge collaborative storage management subsystem performs hierarchical storage, security control and efficient retrieval on the data to form monitoring data; and the cooperative performance perception early warning subsystem realizes state evaluation and graded early warning of the cooperative work performance of the spliced bridge through multi-index fusion. By adopting the lightweight spliced bridge vibration monitoring system for cooperative work performance intelligent perception, the problems of insufficient lightweight and targeting performance, low data processing, transmission and storage efficiency, and inaccurate cooperative performance evaluation, damage positioning and early warning of traditional spliced bridge vibration monitoring are solved.

The invention discloses automatic laser texturing equipment for a tire inner wall application layer, and belongs to the technical field of laser cleaning. Comprising a machine tool body, a laser texturing assembly, conveying assemblies and a main controller, and the conveying assemblies are two roller type conveying belts which are located on the two sides of the machine tool body respectively; the laser texturing assembly comprises a laser component, a dust removal assembly, a rotary clamping assembly and an overturning discharging assembly, the laser component is combined and connected with the dust removal assembly, the overturning discharging assembly is used for receiving defective products and sending the defective products out of the machine tool body, and the machine tool body is provided with a material taking opening at the overturning discharging assembly; through cooperative work of all the assemblies, automatic laser texturing treatment of an application layer on the inner wall of the tire is achieved, all-round surface texturing is conducted on the designated area and the designated breadth of the inner wall of the tire, the roughness of an airtight layer of the inner wall of the tire is increased, and therefore the pasting capacity of mute cotton is enhanced; the scheme has the advantages of high texturing precision, high automation degree, convenience in recovery and the like, and the production quality and efficiency of tires can be effectively improved.

The invention provides a truss structure autonomous design system and method based on multiple agents. A layered multi-agent architecture is adopted, a general control agent is taken as a core, and a high-level design intention is analyzed and a plurality of downstream special agents are arranged for cooperative work; the whole design process realizes automatic closed loop through a graph-based workflow engine; the core innovation of the method is a hybrid intelligent optimization algorithm of LLM heuristic exploration and genetic algorithm accurate fine tuning, and the algorithm is driven by an original and quantifiable design quality scoring system to efficiently carry out analysis-diagnosis-optimization iteration so as to cooperatively improve the safety and economy of the design. The design time can be shortened from several hours to several minutes, about 7.0% of material consumption is saved on average, it is ensured that the scheme completely conforms to industry specifications, the design efficiency, economy and reliability are greatly improved, and meanwhile the use threshold of professional design software is remarkably reduced through natural language interaction.

The utility model provides a novel QSFP-DD packaging optical module comprising a pedestal, the left side of the pedestal is detachably connected with a reset pull ring, and the interior of the pedestal is fixedly connected with a PCB device group. According to the novel QSFP-DD packaging optical module, the base, the reset pull ring, the upper cover, the heat dissipation teeth, the heat dissipation cover and other structures are arranged, the base serves as a core support, the PCB device set, the reset pull ring and the reset spring are accurately positioned and stably installed through a limiting groove, an installation cavity and a spring groove in the base, cooperative work is ensured, the reset pull ring is installed on the left side of the base, and the upper cover is arranged on the left side of the base. The state of the reset spring can be mastered in real time through the observation groove; the upper cover and the base are tightly connected through screws, internal components are covered and protected, external adverse factors are resisted; assembly and maintenance are also facilitated through screw connection; the heat dissipation teeth and the heat dissipation cover construct an efficient heat dissipation system, and heat dissipation is rapid; influence of over-high temperature on performance is avoided, and stability, reliability and service life of the optical module are improved.

The embodiment of the invention provides a business processing system based on multiple agents, and relates to the technical field of data processing. The system comprises an agent layer which is integrated with a plurality of professional agents, the professional agents comprise a business agent and a task scheduling agent, and the task scheduling agent is used for receiving a task request, dynamically allocating a task to a service agent corresponding to the task based on the task request, monitoring a processing state and a system load of each service agent, optimizing a task execution path, and coordinating cooperative work of a plurality of service agents to enable the service agents to process the task in parallel; the collaboration layer is used for providing information sharing and collaborative decision for a plurality of professional agents; and the resource layer is used for providing shared knowledge and tool support for a plurality of professional agents. Through one embodiment of the invention, the problem of low efficiency of the business process in the related technology is at least solved, and the effect of improving the efficiency of the business process in the related technology is further realized.

The invention relates to an electric power storage material intelligent detection and management system based on the Internet of Things, and the system comprises a warehouse material management module which is used for storing, maintaining and carrying out the classification management of basic information of various electric power materials in a warehouse, and the basic information comprises material numbers, types, storage positions, number, warehousing time and material states; meanwhile, synchronous data updating with an upper management system can be carried out; according to the electric power storage material intelligent detection and management system based on the Internet of Things, through cooperative work of the warehouse material management module and the RFID positioning module, real-time storage, maintenance and position tracking of material information are realized, and an operator can acquire serial numbers, categories, quantity, storage positions and states of various electric power materials in a warehouse at any time; errors and omissions easily occurring in traditional manual checking are avoided, and the accuracy of warehouse management is improved.

The invention relates to a multi-agent-based inspection robot task planning method and a robot. Task planning of the robot is realized through cooperative work among a plurality of agents fused with a large language model. The method comprises the following steps: firstly, obtaining map information of a current working environment and space pose information of an operable object; obtaining tasks specified by operation and maintenance personnel, and extracting task related information from the electric power inspection knowledge base by using graph enhanced retrieval generation; the task generation agent integrates a specified task and a retrieval result in the electric power inspection knowledge base, and guides large model planning to generate a task decomposition sequence; the code generation agent generates a code script according to the task decomposition sequence and the robot control interface; and the code execution agent controls the robot to act according to the code script and records a generated running log. Compared with the prior art, the autonomous task planning problem of the electric power inspection robot system in the electric power inspection process is solved, the planning speed and stability are both considered, and the maintenance period is shortened.

The invention discloses a task scheduling and resource allocation method for supermarket cash register multi-device cooperative work. According to the invention, historical transaction data and real-time passenger flow information are fused, a dynamic priority adjustment mechanism is used to make a cashier system cope with a flow peak in advance, and when payment tasks are about to increase, the processing priority is automatically improved, so that the queuing waiting time of customers is reduced, and meanwhile, system jamming caused by backlog of a certain type of tasks is avoided. And the processing efficiency of the cashier equipment is integrally improved. The system can dynamically adjust task allocation according to the real-time load and historical performance of the equipment, so that the single equipment does not bear excessive pressure, and resource waste is also avoided. Even if a sudden passenger flow or temporary equipment fault occurs, the task can be quickly transferred to the idle equipment, so that the stability of the cashier process is ensured, and the probability of transaction failure is reduced.

The invention discloses a distributed cloud storage system for credible storage of bulk transaction data, which comprises a three-layer hybrid architecture and a core function module for cooperative work, and has the functions of credible storage, privacy protection and cross-mechanism verification of the full life cycle of the bulk transaction data. According to the system, through innovative hybrid architecture design and core technology research and development, the core goal of storing hash on a chain and storing original under the chain is achieved, it is guaranteed that data cannot be tampered in the whole life cycle, meanwhile, it is guaranteed that data sovereignty belongs to enterprises, the cross-mechanism verification efficiency is improved, the operation cost is reduced, and solid technical support is provided for bulk commodity transaction digitization.

The invention discloses a multi-agent collaborative urban community space planning method and device based on large model driving. The method comprises the following steps: converting original urban space data into a structured community space distribution diagram; a planning agent is constructed, the community space distribution diagram is understood and analyzed by using the planning agent, and an initial city planning scheme is output; dividing the initial city planning scheme into a plurality of community areas, and generating local optimization suggestions by a plurality of community planning reviewer agents; and fusing the community optimization suggestions by a high-level planning agent, carrying out global reasoning and coordination, and outputting a final urban space planning scheme. Through cooperative work of multiple types of agents, the intelligent level, cooperative efficiency and service fairness of urban space planning are improved, and the problems of lack of multivariate value expression in traditional generative planning, high labor cost and slow response in participative planning and the like are solved.

The invention relates to the technical field of plastic bottle caps, and discloses an automatic boxing device and method for a plastic bottle cap production line. The automatic boxing device comprises a conveying belt, an automatic boxing mechanism is arranged on the outer side of the conveying belt, a distance adjusting mechanism is arranged above the conveying belt, and the automatic boxing mechanism comprises two fixing plates; sliding grooves are formed in the side faces, close to each other, of the two fixing plates, the inner wall of each sliding groove is fixedly connected with a first electric telescopic rod, the telescopic end of each first electric telescopic rod is fixedly connected with a sliding block, and the side faces, close to each other, of the two sliding blocks are jointly and fixedly connected with a sliding plate. According to the automatic boxing device and method for the plastic bottle cap production line, through cooperative work of a first electric telescopic rod, a sliding block, a sliding plate, a motor, a second electric telescopic rod, a vacuum suction cup and other parts of the automatic boxing mechanism, the whole process from bottle cap grabbing by a conveying belt to bottle cap placing into a storage box can be automatically completed, the fatigue problem of manual operation is avoided, and the labor intensity of workers is relieved. And the boxing efficiency is obviously improved.

The invention relates to the technical field of artificial intelligence, in particular to an ST-language-oriented assistant system and method, electronic equipment and a storage medium, and the method comprises the steps: constructing an ST-language-oriented intelligent programming system through the cooperative work of a data processing module, a model training module, a deployment integration module and a data production module; firstly, multi-source industrial ST data is processed to construct a training sample, then a special large language model is obtained through continuous pre-training and supervised fine tuning, finally, the model is integrated into a development environment to provide the functions of code completion, question and answer interaction and the like, and a closed-loop optimization mechanism is formed by collecting user interaction and model generation data. According to the method, a closed-loop system integrating four modules is constructed, deep compatibility and local security deployment of ST grammar specifications of multiple manufacturers are achieved, the code generation accuracy and development efficiency of industrial ST programming are improved, and meanwhile the system has the continuous self-adaptive optimization capacity by means of a data driving mechanism.

The invention discloses a cloud chain information platform construction system and method for the flour industry. The cloud chain information platform construction system comprises a basic data management module, a supply chain cooperation module, a production management module, a quality tracing module, a sales management module, a warehouse logistics management module, a data analysis and decision support module, a user management module and a system management module. Through cooperative work of a plurality of functional modules, information sharing and cooperation of links of a supply chain in the flour industry are realized, the efficiency of the supply chain is improved, and the cost is reduced; the whole-course quality tracing of the product is realized, and the safety management level of the product quality is improved; and through the data analysis and decision support module, a scientific basis is provided for decision making of an enterprise, and the competitiveness of the enterprise is improved.

The invention discloses an activity invitation method, device and equipment and a computer readable storage medium, and is applied to the technical field of computers, and the method comprises the steps: carrying out the first-stage activity invitation conversation with a target user through a pre-trained large language model, a voice recognition model and a text-to-voice model before introduction of activity details based on basic information; and when the stage anchor talk skill is detected, performing a second-stage activity invitation dialogue with the target user by using a pre-trained large language model, a voice recognition model and a text-to-voice model after introduction of activity details based on the target activity task. According to the method, accurate switching and dynamic adjustment of the invitation verbal skill are realized through staged cooperative work of double models, so that a large-model invitation agent (agent / agency) has a staged verbal skill adaptation capability similar to that of an artificial inviter, and the intelligent level and the conversion success rate of activity invitation are remarkably improved; and a technical support is provided for the online car-hailing platform to efficiently improve the driver activeness.

The invention relates to auxiliary equipment for preventing and resolving contradictory disputes and a control method thereof, and belongs to the technical field of corollary equipment for preventing and resolving contradictory disputes, the auxiliary equipment comprises a cloud processing device, a plurality of computer terminals and mobile terminals are arranged outside the cloud processing device, and signal lines are arranged between the computer terminals and the cloud processing device and between the mobile terminals and the cloud processing device. The cloud processing device comprises a case, a memory is arranged in the case, a signal switch is arranged at the rear end of the memory, a CPU processor is arranged on the side edge of the signal switch, a power supply is arranged at the lower end of the memory, and a power socket communicated with a power supply phase circuit is arranged at the rear end of the power supply. The cloud processing device serves as a core and is connected with computer terminals and mobile terminals used by a plurality of workers through a wired or wireless network to form a cooperative work network. According to the invention, the conversion from passive response to active prevention and from artificial experience to intelligent assistance is realized, and the efficiency, standardization and safety of contradictory dispute handling are improved.

The embodiment of the invention provides a vehicle control method, which realizes scene-based collaborative management and control of humidity and static electricity level in a vehicle and adapts to multiple vehicle use scenes, and comprises the following steps: acquiring multi-dimensional environment data in the vehicle and vehicle operation data, the multi-dimensional environment data at least comprise temperature, humidity, electrostatic intensity, passenger state and vehicle operation data; determining a current target scene mode based on the combination of the in-vehicle multi-dimensional environment data and the vehicle operation data; according to the target scene mode, a corresponding target strategy is matched from a plurality of preset cooperative control strategies, and different cooperative control strategies define different cooperative working parameters for the operation of adjusting the air humidity and the operation of adjusting the charges in the air; and synchronously executing an air humidity adjusting operation and an air charge adjusting operation according to the cooperative working parameters defined by the target strategy.

The utility model relates to a glass wool processing mode rapid switching device which comprises a rack, a material feeding end, a material discharging end, a material conveying device and a material conveying device, the second conveying mechanism is used for driving glass wool to be horizontally conveyed, the material feeding end is arranged at the rack, the end, away from the rack, of the second conveying mechanism is provided with an unwinding conveying mechanism used for obliquely and upwards conveying glass wool to the second conveying mechanism, and the side, away from the unwinding conveying mechanism, of the rack is provided with a crimping machine; a rolling conveying mechanism is arranged at the material leading-out end of the machine frame, a paper cutting mechanism is arranged on one side, close to the rolling conveying mechanism, of the machine frame, and the paper cutting device can adapt to rapid switching of various products with different lengths, different thicknesses and the like. Through the ingenious design and cooperative work of all the mechanisms, such as the rapid adjustment function of the lifting conveying assembly, the cotton pressing conveying mechanism and the like, switching from glass wool roll production to glass wool board production or among products of different specifications can be completed in a short time, and the product switching period is greatly shortened.

The application provides a kind of blow molding product full life cycle quality tracing and process sharing system based on blockchain, belongs to intelligent manufacturing and industrial data security technical field.The system includes data acquisition and storage module, for obtaining production information and storing key characteristic value or hash value in blockchain;Multi-party collaborative management module, for configuring dynamic data access rights for participants through smart contract;And process knowledge asset management module, for extracting process parameter set from blockchain data that is strongly associated with high-quality output results, encapsulating as verifiable process knowledge package, and realizing its pricing, transaction and feedback loop through smart contract.The method realizes cross-enterprise trusted data tracing, safe sharing and value realization of process knowledge through the collaborative work of the above modules, improves product quality consistency and industry knowledge reuse efficiency.

The utility model belongs to the technical field of article storage tools, and particularly relates to a luggage case with adjustable supporting angles of auxiliary wheels. The utility model provides a luggage case with an adjustable supporting angle of an auxiliary wheel, and aims to solve the problem that the supporting angle of the auxiliary wheel of the luggage case in the prior art cannot be adjusted. The luggage case with the adjustable supporting angle of the auxiliary wheels comprises a case body, wheels are arranged on the case body, the auxiliary wheels are further arranged on the case body, and the auxiliary wheels are arranged on the case body through wheel frames; according to the auxiliary wheel, the angle of the auxiliary wheel can be freely adjusted through cooperative work of the fixed seat, the movable seat, the sliding piece and the locking teeth. When the driving mechanism pushes the sliding piece, the locking teeth are clamped into the locking grooves in the two sides at the same time, and firm mechanical locking is formed. And the angle-adjustable auxiliary wheels can provide optimal support according to the actual inclination angle of the box body, so that safer riding experience is provided for children.

The invention discloses semiconductor chip multifunctional mounting equipment, which belongs to the technical field of semiconductor packaging, and comprises a base, a plate conveying track assembly is mounted on the base, the plate conveying track assembly comprises two groups of tracks, and the height and the width of each group of tracks can be adjusted; the wafer processing mechanism is located on one side of the plate conveying track assembly and used for pre-assembling multiple discs of wafers and completing automatic film expansion, calibration and wafer taking of the wafers; the automatic tin dispensing device with a suction nozzle is used for dispensing solder paste and glue and drawing lines; an upside-down mounting mechanism; visual systems are arranged on the wafer processing mechanism, the automatic tin dispensing device and the flip-chip mounting mechanism; according to the invention, the plate conveying track assembly, the wafer processing mechanism, the automatic tin dispensing device and the flip-chip mounting mechanism cooperate with the automatic feeding and discharging device for cooperative work, and are matched with a plurality of visual systems, so that a full-automatic, high-precision and multifunctional mounting process can be realized, and the production efficiency and consistency are greatly improved.