52 results about "Flexible manufacture 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.

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.

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.

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.

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 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.

This invention discloses a mobile, rapid, and flexible manufacturing system for firearms and ammunition. Several mobile containers with different functions can form a mobile firearms and ammunition assembly and production platform, significantly enhancing the system's wartime survivability across all time and terrains. Standardized mobile containers serve as the platform to carry the firearms and ammunition assembly equipment. The entire mobile production system can be rapidly replicated in the field to form production capacity as needed, requiring minimal land area and a short construction period. Additive manufacturing technology is used to form the projectile in one step, filling it with different special fillers as required, achieving flexible production of the projectile and providing crucial support for the final flexible manufacturing of the entire firearm and ammunition product.

This invention discloses a method for using a central tool library based on a digital flexible manufacturing system, relating to the field of parts manufacturing and processing. It involves establishing a parts data table containing parts numbers and setting the processing program corresponding to each parts number; obtaining a production plan to generate a list of tools to be called; when the tool inventory table does not contain all the tool numbers in the list of tools to be called, a list of tools to be added is generated; based on the list of tools to be added, an inbound scheduling task is generated for each tool, and the inbound scheduling task completes the inbound of the tools to be added; based on the calling order of the tools in the list of tools to be called, preset logical judgments are performed on each tool sequentially, and based on the judgment results, an outbound scheduling task for the corresponding tool is generated, and the outbound scheduling task completes the outbound of the tools to be called. This invention ensures the completeness of the tools required for the current production plan by comparing the list of tools to be called with the tools stored in the tool inventory table for tool inbound.

The invention relates to a feeding and discharging manipulator for a flexible manufacturing system. The feeding and discharging manipulator comprises a rack, a vertical movement shaft, a horizontal telescopic movement shaft and a claw device. The rack is of a gantry frame type structure; the vertical motion shaft is driven by a first driving unit to move up and down; the horizontal telescopic motion shaft is a two-stage synchronous telescopic mechanism, a first-stage arm is driven by a second driving unit to do horizontal reciprocating motion, and the first-stage arm drives a second-stage arm to do horizontal reciprocating motion along with the first-stage arm through a synchronous belt transmission device; the speed of the second-stage arm is twice that of the first-stage arm; the tray is hooked through the claw device, and automatic feeding and discharging of the tray and workpieces of the flexible manufacturing system are completed under driving of the vertical movement shaft and the horizontal telescopic movement shaft. The manipulator has the characteristics of high loading capacity, wide reachable range, stable and efficient loading and unloading, compact structure and small occupied area; the method is used for a flexible manufacturing system, and automatic and flexible production and machining of target workpieces are achieved.

A flexible manufacturing system is provided. The flexible manufacturing system includes a starting feeding platform, a first production line, a second production line, a terminal discharging platform, and a transfer apparatus. The first production line includes a plurality of first working machines and a first conveying mechanism. The second production line includes a plurality of second working machines and a second conveying mechanism. The terminal discharging platform is disposed at the downstream of the second production line. The transfer apparatus is disposed between the first production line and the second production line.

The application discloses a kind of based on the flexible production line scheduling method and system of multiple AGV cooperation, specifically relates to flexible manufacturing system resource scheduling technical field, for solving the defect that current dynamic priority mechanism causes AGV resource lock when high priority task is concurrent;By obtaining production line task priority data;Estimate high priority task coupling correlation strength;Risk task group is identified based on intensity threshold value;Extract group task resource competition degree and path transmission efficiency, generate task chain transmission impedance factor by graph convolutional neural network;Through the processing impedance factor output collaborative allocation weight by gated recurrent unit model;According to weight integerization distribution AGV resource and generates scheduling instruction;Realize task conflict transmission modeling and resource collaborative allocation, significantly improve production line resource utilization and high urgency task response efficiency.

The invention belongs to the field of intelligent manufacturing systems, and particularly relates to a robust optimization scheduling method for a flexible manufacturing system containing resource faults. The method comprises the following steps: constructing a Petri net model, and simulating a manufacturing system production process and a fault generation and repair process; a subsequent identifier of the reachable identifier is calculated, a detection and repair method of the transition sequence is given, and the robust feasibility of the transition sequence is ensured; for the processing time of each working procedure, the fault repair time is merged into the operation time of the original working procedure; the improved genetic algorithm is utilized, the simulated annealing operation is added, the crossover and mutation probability of the genetic algorithm is dynamically adjusted, iterative analysis is conducted on chromosomes, the robustness and adaptability of the algorithm are improved, and meanwhile the quality of a solution is improved.

The application provides a communication unit flexible manufacturing system control method, which belongs to the technical field of control and is suitable for a communication unit flexible manufacturing system. The communication unit flexible manufacturing system comprises a controller. The method is suitable for the controller and comprises the following steps: the controller acquires sample characteristics and matches the sample characteristics with a plurality of historical product characteristics in a database; according to the matching result, it is determined whether the sample satisfies rapid processing conditions; if the controller determines that the sample satisfies the rapid processing conditions, the controller determines target product characteristics from the plurality of historical product characteristics, and acquires target processing data corresponding to the target product characteristics; the controller determines sample processing data for processing the sample characteristics based on the plurality of target processing data, and controls the communication unit flexible manufacturing system to produce the sample based on the sample processing data. The application also provides a communication unit flexible manufacturing system.

The invention discloses a heuristic search scheduling method for minimizing completion time of a wait-free flexible manufacturing system, and provides three heuristic functions which consider path flexibility and resource flexibility at the same time so as to more accurately estimate residual cost to better guide algorithm search. Two one-step back-off strategies are established, the search efficiency is further improved according to the sequence of exchange operation, two exchange rules are provided, and invalid exchange is avoided; a heuristic function, a one-step back-off strategy and a deadlock avoiding strategy are combined together, and the performance of the algorithm is far better than that of an existing algorithm when the algorithm is embedded into a search process.

An exemplary method and system are disclosed to flexibly and adaptably manufacture and assemble a workpiece by using recordings of a user in machine learning / artificial intelligence algorithms to train a robot for subsequent automated manufacture. Machine learning and artificial intelligence learning can generate libraries of generalized dynamic motion primitives that can be subsequently combined for any type of manufacturing or assembling activity. The exemplary method and system can flexibly generate a model of an existing workpiece as a template or primer workpiece that can then be used in conjunction with the DMP operations to fabricate subsequent workpieces.