72 results about "Flexible manufacturing system" patented technology

The invention discloses a flexible production line scheduling method and system based on multi-AGV cooperation, particularly relates to the technical field of flexible manufacturing system resource scheduling, and is used for solving the defect that an existing dynamic priority mechanism causes AGV resource locking during high-priority task concurrence. The method comprises the steps of obtaining production line task priority data; the coupling association strength of the high-priority tasks is evaluated; identifying a group of risk tasks based on an intensity threshold; extracting intra-group task resource competition degree and path conduction efficiency, and generating a task chain conduction impedance factor through a graph convolutional neural network; processing an impedance factor through a gating circulation unit model, and outputting a cooperative distribution weight; aGV resources are distributed according to weight reforming and digitalization, and a scheduling instruction is generated; task conflict conduction modeling and resource collaborative allocation are achieved, and the production line resource utilization rate and the high-urgency task response efficiency are remarkably improved.

The invention belongs to the related technical field of workshop scheduling, and discloses a flexible workshop production scheduling method and system with a double-track type guide vehicle, and the method comprises the steps: building a flexible workshop production scheduling model with the double-track type guide vehicle in consideration of the machine constraint of a flexible workshop machining process and the carrying constraint of the track type guide vehicle; performing iterative solution on the flexible workshop production scheduling model through an optimization algorithm to obtain a flexible workshop production scheduling method; during iterative solution, the procedure processing sequence, the procedure processing machine selection and the procedure guide vehicle selection are coded respectively to form chromosomes, and the three chromosomes correspond to one solution; and a decoding operator based on motion conflict repair is executed on a solution generated by each iteration. According to the method, processing machine constraints and track guided vehicle constraints of processes are considered, a three-layer coding structure is provided, and a decoding mode based on motion conflict repair is designed, so that collaborative optimization scheduling of a flexible manufacturing system with double RGVs can be realized.

The invention belongs to the technical field of production scheduling of a flexible manufacturing system, and particularly relates to a flexible manufacturing system multi-objective optimization scheduling method based on a Petri network and an improved NSGA-II. The method comprises the following steps: establishing a Petri net model, determining NSGA-II algorithm parameters, encoding and decoding, generating an initialized population, detecting and repairing chromosomes, calculating completion time, total energy consumption and a machine utilization rate and carrying out normalization, rapid non-dominated sorting and crowding degree sorting by visualizing processing procedures of workpieces in the flexible manufacturing system and machine occupation conditions among the workpieces; and carrying out genetic manipulation and outputting a Pareto optimal solution. All chromosomes are adjusted to control feasible chromosomes through a chromosome deadlock detection and repair method, and the chromosomes are decoded into a scheduling sequence. According to the method, the flexible manufacturing system is ensured to carry out optimal scheduling on the production process under the condition of no deadlock, the scheduling sequence meeting the optimization target requirement can be quickly found, the scheduling speed is improved, the machine utilization rate is increased, the energy consumption is reduced, and the production quantity is increased.

This invention provides a flexible manufacturing system and a flexible manufacturing method thereof. The flexible manufacturing system includes an initial feeding platform, a first production line, a second production line, a final discharge platform, and a conveying machine. The first production line includes multiple first workstations and a first conveying mechanism, wherein the initial feeding platform feeds a workpiece onto the first production line, and the first conveying mechanism conveys the workpiece. The second production line includes multiple second workstations and a second conveying mechanism, which conveys the workpiece. The workpiece is moved from the second production line to the final discharge platform for discharge. The conveying machine is adapted to pick up the workpiece from the first or second production line and transport it.

The invention relates to the technical field of flexible manufacturing, and discloses a flexible manufacturing production line multi-variety-to-batch production balance and reliability analysis method, which comprises the following steps of: constructing a flexible manufacturing production line physical model to obtain a production relationship, an availability analysis result and production data among process links in a flexible manufacturing system; a digital representation model based on the extended stochastic Petri network is constructed; encoding variable parameters of each process in the digital representation model to generate a new population, and determining an adaptability function F; the fitness of each individual in the new population is calculated, whether the maximum iteration number is met or not is judged, and if yes, an optimization result is output; if not, a new population is generated, and then the fitness value of each individual in the optimized new population is calculated according to the fitness function F until the maximum number of iterations is reached; according to the method, the flexible manufacturing production line is adjusted based on the analysis results of the production balance, the productivity reliability and the production balance reliability.

The invention discloses a flexible manufacturing system modularization intelligent programming method driven by a large language model, equipment and a medium. The method comprises a task decomposition step, a manufacturing subtask single-step description generation step and a process generation step. Wherein in the task decomposition step, step-by-step tasks are generated by using a large model according to user task description input by a user; in the manufacturing sub-task single-step description generation step, manufacturing sub-task single-step description is generated for each manufacturing sub-task in the step-by-step task by using a large model; in the process generation step, a complete description of a manufacturing process is generated by using a large model according to single-step descriptions of a plurality of manufacturing sub-tasks. According to the method, the powerful natural language understanding and generating capacity of the large language model is utilized, and automatic planning of the whole manufacturing process can be completed through the large language model only by designing appropriate task prompts. According to the method, detailed steps of the manufacturing process can be rapidly generated, interactive iteration with engineers can be carried out, and the interpretability, flexibility and adaptability of the planning process are improved.

The utility model provides a zero-point positioning tool of a flexible manufacturing system. The zero-point positioning tool of the flexible manufacturing system comprises a workbench, a mounting table fixedly arranged on the workbench and a positioning hole formed in the mounting table. The tray is placed on the working table, an n-shaped groove is formed in the right side of the tray, a pneumatic clamping rod is fixedly arranged in the groove, and the tray is fixedly positioned through a positioning nail arranged at the bottom end of the tray and a positioning hole in the mounting table. The positioning holes, the positioning nails, the grooves and the wedge-shaped blocks are matched to ensure that the tray tool is accurately positioned, and the problems that in the prior art, a tray tool is not high in positioning accuracy and complex in operation are solved.

1. Name of the product in this design: Fully Automated Flexible Manufacturing System for Metal Wire. 2. Application of this design: This design is used for the winding and packaging of metal wire coils. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the key design points: Design 1 3D view. 5. Design 1 bottom view and Design 2 bottom view are uncommon, so Design 1 bottom view and Design 2 bottom view are omitted. 6. Design 1 is designated as the basic design. 7. Other situations requiring explanation: Design 1 is a fully automated flexible manufacturing system for metal wire (6 units), and Design 2 is a fully automated flexible manufacturing system for metal wire (10 units).

The present invention discloses a method for optimizing FMS system scheduling and resource allocation based on Petri nets, belonging to the technical field of manufacturing system optimization and intelligent control. The method comprises the following steps: allocating resources of a flexible manufacturing system according to production requirements of the flexible manufacturing system, obtaining current processing information of the flexible manufacturing system, and establishing a Petri net model of the flexible manufacturing system based on the current processing information of the flexible manufacturing system; dividing the transition set of the Petri net into base partitions, and constructing a base reachable graph based on the base partitions; using an improved simulated annealing algorithm combined with a generative filter beam search algorithm to perform integrated optimization of resource allocation and scheduling in the base reachable graph to obtain an optimized resource allocation scheme and machine processing time; and, based on the optimized resource allocation scheme and machine processing time, sorting the operations of all workpieces on a time axis according to the process start time to generate a final scheduling result.

The invention belongs to the technical field of energy flexible manufacturing system regulation and control, and particularly relates to an energy flexible manufacturing system two-stage regulation and control method considering demand response priority, which comprises the following steps: S1, constructing a comprehensive carbon emission factor model; s2, constructing a demand response priority model; s3, in the day-ahead stage, mixed carbon emission factors of all time periods of the next day are calculated, and a two-level production energy consumption decision-making model is constructed based on the mixed carbon emission factors; solving to obtain a day-ahead plan of production and energy consumption collaboration of the next day; and S4, in the real-time operation stage, when the actual energy supply cannot meet the load demand of the day-ahead plan, calling the priority score of each processing task in the S2, determining an adjustable processing task, constructing a multi-target real-time optimization decision model, and dynamically adjusting the start-stop or processing time period of the adjustable processing task. According to the method, low-carbon, economic and reliable collaborative decision-making of production energy consumption of the energy flexible manufacturing system in an environment with uncertain supply and demand can be realized.

The utility model discloses a stacking machine of an FMS flexible manufacturing line, which comprises a rack body, a stacking system sliding on the rack body, a first driving system for driving the stacking system to slide along a Y axis, and a second driving system for driving the rack body to slide along an X axis, the first driving system comprises a first motor and a lifting rope assembly, one end of the lifting rope assembly is connected with the output end of the first motor, the other end of the lifting rope assembly is connected with a stacking manipulator, and the first motor drives the stacking manipulator to move along the Y axis through the lifting rope assembly. The stacking machine is simple in structure and low in cost, the first driving system and the second driving system can drive the machine frame to slide along the X axis and the Y axis respectively, the stacking machine is a double-stretching-position stacking machine, carrying can be rapidly conducted on equipment and a warehouse, and working efficiency is improved.

This invention belongs to the field of flexible manufacturing systems technology and discloses a path-execution cooperative control method for multiple mobile transport robots based on Petri nets. The method includes: acquiring current system state information; determining the effective starting point and first effective target based on the current task sequence information of each mobile transport robot; updating the current position index by combining historical path cache, and reusing or re-determining discrete path sequences according to preset conditions; injecting the path sequences as spatial constraints into the Petri net execution model, and constructing an executable transition binding instance set by combining the current system state, robot execution state, and resource enabling relationships; selecting and advancing compatible transition binding instances from the instance set to form execution fragments, and updating the system state accordingly, thereby achieving rolling closed-loop cooperative control of the multiple mobile transport robot system. This invention is beneficial for improving the consistency of path planning and execution processes and the efficiency of system resource coordination.

The invention relates to the technical field of intelligent manufacturing and dynamic personnel scheduling optimization, and discloses a dynamic personnel scheduling optimization method based on DDQN. According to the method, a DDQN intelligent decision framework oriented to the industrial scheduling problem is constructed, and the problem of Q value over-estimation in a traditional DQN algorithm is effectively solved by designing a multi-dimensional state space containing a process state, a team and a parallel mark and directly mapping an action space of an actual scheduling decision; and process states and worker behaviors are modeled through a deep reinforcement learning framework, and a task allocation and resource scheduling scheme is dynamically adjusted in combination with a real-time worker behavior prediction module, so that the total completion time is minimized and the resource utilization rate is maximized in a multi-process and multi-constraint scene, and the working efficiency is improved. The method is suitable for complex industrial environments such as chemical workshops and flexible manufacturing systems, scheduling challenges caused by process dependence, worker heterogeneity and dynamic task requirements can be effectively handled, and the production efficiency and the response capability of the intelligent manufacturing system are improved.

The invention discloses a production prediction method for a flexible manufacturing system. The production prediction method comprises the steps of 1, setting algorithm preconditions and scheduling strategy requirements, 2, constructing a core element model, and 3, executing production whole-process simulation prediction. The method effectively solves the problem of production prediction of a flexible manufacturing system caused by uncertainty of varieties, processes and cutters and influence of a scheduling strategy, can simulate the whole production processing process, outputs multi-dimensional results such as work order completion time, a blank and cutter preparation list, a production Gantt chart, a production trend chart and an equipment starting rate, and improves the production efficiency. And reliable data support is provided for a user to adjust a production plan and configure resources.

The invention belongs to the crossing field of shipbuilding and electrical engineering, and discloses a shipbuilding process flexible scheduling method based on adjustable potential analysis and a related device, and the method comprises the steps: responding to dynamic disturbance information, and updating a state task network diagram and a scheduling diagram of a shipbuilding process; according to the updated state task network graph and the scheduling graph of the shipbuilding process, dynamic adjustable potential of each task of the shipbuilding process is obtained by combining the dynamic adjustable potential model of each task of the shipbuilding process; and based on the scheduling constraint optimization model, according to the updated state task network diagram and scheduling diagram of the shipbuilding process and the dynamic adjustable potential of each task, generating a flexible scheduling result of the shipbuilding process. An optimal scheduling path can be selected in a disturbance scene to dynamically generate an adjustment strategy, so that the toughness of a production system is remarkably improved; meanwhile, based on dynamic adjustable potential analysis, the adjustment level and the flexible boundary of each task can be accurately identified, and real-time scheduling optimization and intelligent configuration of the flexible manufacturing system are supported.

A flexible manufacturing system is provided. This system comprises a feed station at the beginning, a first production line, a second production line, an output station at the end, and a transfer device. The first production line includes several first processing machines and a first conveying mechanism. The second production line includes several second processing machines and a second conveying mechanism. The output station at the end is located downstream of the second production line. The transfer device is located between the first and second production lines.

A method and apparatus for building a fuselage assembly for an aircraft. A number of fixtures may be drive across a floor to an assembly area to form an assembly fixture. The fuselage assembly may be built on the assembly fixture.

The present application belongs to the field of multi-robot path planning, and specifically relates to a double-layer multi-robot path planning method based on state search and priority. The algorithm uses a deep-first search guided iteration framework in the upper layer to provide full-view planning, and uses a priority-based method in the lower layer to avoid obstacles. Meanwhile, the lower layer search adds a turning penalty factor in the single-robot path cost function to reduce the number of turns; combines priority inheritance and expands the time window considered when avoiding conflicts to reduce the number of conflicts; and pre-processes the map to search out narrow passages, which are regarded as mutual exclusion quantities, and only allow one robot to pass through to avoid the situation of avoiding after entering the passage. The present application has wide application value and can meet various tasks and constraint conditions, and has many practical applications in flexible manufacturing systems such as intelligent workshops, logistics centers, automated warehouses and the like. The present application has important significance for improving system efficiency and reducing system cost.

The integrated flexible manufacturing system of production workshop line library and the manufacturing method of electric heating tubes belong to the technical field of flexible manufacturing. It is based on the integrated flexible manufacturing system software system, AGV control system, vertical library control system and enterprise resource management system; it includes a group of production lines, in-process shuttle car storage system and AGV cars, and each production line is configured with a corresponding production line side material calling device. In the present invention, through the connection of the integrated flexible manufacturing system software system, a logistics connection is established between the in-process shuttle car storage system and various production lines through AGV; the manufacturing process is completed by intelligent logistics equipment, realizing unmanned operation of the whole process; at the same time, for the in-process storage shuttle car storage system, refined management is realized, the in-process products can be monitored in real time, and it can also assist in formulating a reasonable production plan and balancing production.

Disclosed is an extend stochastic Petri nets (ESPN)-based method for modeling and representing process reliability of a flexible manufacturing system (FMS), falling within the technical field of flexible manufacturing. Modular division is performed on an FMS, and performance parameters of various process modules are acquired; ESPN septuple models corresponding to subnets of Petri nets are constructed according to the performance parameters of the various process modules; based on a process flow, the subnets of Petri nets are combined according to a set control approach; and numerical values of transitions with arbitrary distributions in a complete ESPN model are solved through numerical simulation. In the disclosure, the accuracy for evaluating the process reliability of the FMS is ensured.

The invention discloses automatic logistics equipment for a flexible manufacturing system and a use method. The equipment comprises an X-axis base system arranged along a production line, a Z-axis lifting system, a Y-axis bidirectional telescopic system and a control cabinet, the Z-axis lifting system, the Y-axis bidirectional telescopic system and the control cabinet are installed on the X-axis base system, and the Y-axis bidirectional telescopic system is composed of an upper fork, a middle fork, a lower fork and a chain in a transmission mode and can stretch out and draw back forwards and reversely so as to fork and temporarily store large parts fixed to a tray; the X-axis base system adopts the combination of a gear rack and double linear guide rails to realize large-stroke operation, and is matched with slide wire power supply and optical communication; and the equipment is integrated with an intelligent camera recognition system, communicates with the flexible manufacturing system master control system, and completes warehousing, feeding, discharging and warehouse-out carrying of the parts among the feeding and discharging station, the machine tool station and the line side bin station according to a dispatching instruction. Automation of heavy-load parts in the flexible manufacturing system is achieved, logistics can be tracked, and logistics efficiency and operation safety are remarkably improved.

The invention belongs to the technical field of production scheduling of flexible manufacturing systems, and particularly relates to a Petri network-based flexible manufacturing system emergency order insertion rescheduling method. The invention provides a new rescheduling strategy based on a Petri net model of a flexible manufacturing system. When an emergency order arrives, a Petri net model reconstruction and processing sequence classification rearrangement method is provided. According to the method, a genetic algorithm is optimized and improved in the design process of a scheduling strategy, firstly, an initial population is generated by adopting a Tent chaotic mapping method, so that population distribution is more uniform; secondly, adopting an elitism strategy and a roulette method in the heritage operation selection operation, and selecting a better individual for operation according to the fitness value; a POX crossover method is adopted in the crossover operation, so that the range of a neighborhood solution can be effectively expanded; in the mutation operation, a non-uniform mutation rate is adopted to enhance the spatial search capability of the algorithm, so that more comprehensive spatial search can be carried out.

The utility model discloses a flexible manufacturing system central control board which comprises a material frame, a material tray is arranged above the material frame, and a protective door is arranged on the right side of a protective plate; the base is arranged on the inner side of the material frame, a first motor is fixedly installed on the outer side of the top of the base, the output end of the first motor is connected with a gear, a top disc is arranged above the chassis, a fluted disc is arranged on the outer side of the bottom of the chassis, and the chassis and the top disc are connected through a first supporting rod and a second supporting rod. A second motor is arranged at the top of the top tray; and the feeding disc is arranged above the top disc, and a screw sleeve is fixedly connected to the lower portion of the middle of the feeding disc. The flexible manufacturing system central control board is annularly arranged, space is saved, the material tray can be conveniently moved to different positions by rotating and lifting the feeding disc, feeding and discharging can be conducted through one position, and therefore use is convenient.

A method and apparatus for building a fuselage assembly for an aircraft. A number of fixtures may be drive across a floor to an assembly area to form an assembly fixture. The fuselage assembly may be built on the assembly fixture.

The application discloses a novel flexible manufacturing system dynamic scheduling method based on multi-agent reinforcement learning, relates to the technical field of intelligent manufacturing, and comprises the following steps: constructing a cross-domain knowledge graph driven state space, fusing process knowledge and equipment capacity to perform semantic embedding; establishing an adaptive evolution intelligent agent collaborative network of a space-time heterogeneous graph, and dynamically adjusting a topological structure according to task dependence and equipment coupling; adopting a progressive collaborative value decomposition network to optimize a strategy and accurately realize credit distribution; and constructing a multi-scale closed-loop compensation decision mechanism to form deep coupling and closed-loop feedback at the equipment layer, the production line layer and the system layer, so that the scheduling efficiency and robustness of the flexible manufacturing system are significantly improved.

The invention discloses an on-orbit flexible manufacturing system and method for a resin-based composite spiral pipe, and relates to the field of aerospace. The on-orbit flexible manufacturing system comprises a rack, a strip forming and pressing tool and a landing edge pressing tool; the strip winding drum, the strip continuous feeding tool, the strip gradient heating tool and the mandrel are sequentially connected to the rack, the strip winding drum is rotationally connected to the rack, a strip is wound around the strip winding drum, the strip continuous feeding tool drives the strip to move in the forming direction, and the strip gradient heating tool is used for heating one side of the strip. One end of the mandrel is rotationally connected to the rack, the other end of the mandrel is suspended, the direction from the end, connected with the rack, of the mandrel to the suspended end of the mandrel is the spiral pipe forming direction, and the included angle between the spiral pipe forming direction and the strip moving direction is an acute angle; the strip forming and pressing tool is matched with the mandrel to be used for winding the strip to form a spiral pipe. The overlap edge pressing tool is right opposite to the overlap joint position of the spiral pipe and used for pressing the overlap joint position of the spiral pipe. And on-orbit continuous manufacturing of the resin-based material pipe is achieved.

The invention relates to the technical field of intelligent manufacturing systems, and discloses a method for constructing an optimal scheduling state diagram of a flexible manufacturing system, which comprises the following steps of: constructing a production link-resource occupation matrix according to the resource use condition of each production link in the flexible manufacturing system; summarizing a conflict relationship and a logic relationship of each production link on the basis of the production link-resource occupancy matrix; a production state diagram model for describing production state evolution of the flexible manufacturing system is constructed by combining specific production tasks of the flexible manufacturing system and the sequence relation and conflict relation of all production links; designing a heuristic function according to an evolution rule of the production state diagram, and evaluating a time consumption value from the end of system production in the current production state; the heuristic function is used for constructing evaluation of states in a production state diagram, the production state diagram is locally searched in a heuristic mode through an algorithm, and the shortest machining operation sequence is obtained through solving.

The invention discloses a heavy-load multi-connecting-rod compact type FMS flexible manufacturing system, and relates to the technical field of flexible manufacturing, and the heavy-load multi-connecting-rod compact type FMS flexible manufacturing system comprises a stacking part arranged between a machine tool and a goods shelf. When the stacking component on the flexible manufacturing system is used, through mutual cooperation of the moving assembly, the lifting assembly and the guiding assembly, materials at different positions and at different heights on the flexible manufacturing system can be flexibly and rapidly taken and stacked, and in the operation process of the four-connecting-rod type stacking assembly, the materials can be conveniently and rapidly stacked, and the stacking efficiency is greatly improved. The bearing seat is driven to flexibly move between the goods shelf and the machine tool, no extra conveying device or manual transfer is needed, the machining efficiency is guaranteed, in the moving process of the bearing seat, the bearing seat is in a horizontal state, the bearing seat and materials on the bearing seat are in the horizontal state all the time in the material taking and stacking process of the bearing seat, and the machining efficiency is improved. And the goods are prevented from shaking or inclining, and risks generated in the stacking process are reduced while the stacking quality is guaranteed.

The invention relates to the technical field of industrial large models, and discloses a flexible intelligent manufacturing production control method and system based on an industrial large model. The method comprises the following steps: measuring the actual coordinate of a part in the ith process, calculating a first deviation vector between the actual coordinate and a target coordinate, calculating the unreliable coefficient of the ith process, subtracting the product accumulation sum of the first deviation vector of each station from the first process to the (i-1) th process, the corresponding unreliable coefficient and the exponential attenuation weight from the first deviation vector, obtaining a second deviation vector; calculating a process state embedding vector through the first industrial large model; and deep reinforcement learning analysis is carried out based on the process state embedding vector to obtain a main shaft rotating speed adjustment amount, a feeding speed adjustment amount and a cutting depth adjustment amount, and the main shaft rotating speed adjustment amount, the feeding speed adjustment amount and the cutting depth adjustment amount are issued to a CNC numerical control system to execute machining. According to the invention, the part positioning precision and robustness of the cascade flexible manufacturing system are improved.

The invention provides a flexible manufacturing system, a scheduling and executing method and a storage medium. The flexible manufacturing system comprises a main system, a logistics system and a CNC system. According to the method, the CPS is applied to modeling of the Agent, and an intelligent factory FJSP flexible manufacturing system scheduling model based on the CPS-Agent is established; the Agent is used as a carrier for realizing CPS communication and calculation functions, so that the function and the model of the Agent have higher reliability and distributed supporting performance, and the state information of a production field can be acquired in real time. The management decision system Agent dynamically adjusts production scheduling through coordination and interaction in a multi-Agent system (a workpiece Agent, a machine tool Agent and an AGV Agent). And each Agent makes a decision according to real-time data (such as a processing state, equipment performance, a workpiece position and the like) and cooperates with other Agents, so that production tasks can be rapidly and flexibly switched.