35 results about "Flexible manufacturing system" patented technology

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.

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 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.

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.

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 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 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 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 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.

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 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.

A flexible manufacturing key state estimation method based on an asynchronous pulse nerve P system relates to the technical field of intelligent manufacturing state estimation, and comprises the following steps: constructing a flexible manufacturing system model; defining a determined event rule set and a non-determined event rule set in the flexible manufacturing system model, and initializing state configuration; acquiring an observation sequence formed by a plurality of time sequence events in the flexible manufacturing system by using a sensor; dynamically calculating the excitation frequency upper bound of the event rule subset and the ground state configuration of the event rule subset based on the observation sequence by adopting an upper bound and ground state configuration calculation algorithm; constructing an excitation frequency constraint of the non-deterministic event rule; constructing a state evaluation formula according to the excitation frequency constraint of the non-deterministic event rule, the excitation frequency of the non-deterministic event rule, the basic state configuration of the non-deterministic event and the flexible manufacturing system model; estimating a state set of the flexible manufacturing system by adopting a state evaluation formula; the method is used for solving the problem of low accuracy of traditional state estimation.

The invention belongs to the technical field of machine manufacturing, and particularly relates to an automatic self-positioning circular outer clamping fixture for intelligently manufacturing flexible wires and an operation method. The push block mounting grooves with the multiple threaded holes are formed to be matched with radial push blocks of different specifications, and by means of the cross-shaped layout of the four radial push blocks and matching of the first guide inclined faces and the second guide inclined faces of the four radial push blocks, vertical locking force of the adjusting fastener is converted into accurate radial displacement facing the center; rapid self-centering and high-precision clamping of a workpiece are achieved, manual correction and a special adapter plate are not needed through the design, the clamping range is widened, efficiency is improved, meanwhile, the arc-shaped groove in the plane of the clamping part and the hook-shaped part at the bottom jointly provide stable multidirectional constraint, and the clamping precision is improved. And a side surface positioning arc groove, a robot clamping groove, an information identification code mounting groove and a standard interface of a bottom positioning gasket of the circular tray ensure seamless integration and reliable interaction with a flexible manufacturing system, and the clamping precision, the automation compatibility and the process stability are integrally improved.

The utility model relates to machining technical field especially relates to a quick change structure reamer, including flange tool shank, set up on the HSK flange tool shank flange tool rod, set up on the flange tool rod rear end reamer head, set up on the flange tool rod front end reamer head, the rear end reamer head is fixed in the other end part of flange tool rod through a plurality of locking screw, still be provided with detection ring on the flange tool rod, the front end reamer head is set up on the reamer flange tool rod through locking nut, this product has the characteristics of quick replacement and cost reduction, is applicable to a variety of machine tool and carries out high speed reaming, when using on numerical control machine tool, machining center and flexible manufacturing system, can greatly improve processing efficiency and product precision.

This utility model relates to a loading / unloading robot for flexible manufacturing systems. The loading / unloading robot includes a frame, a vertical motion axis, a horizontal telescopic motion axis, a claw device, and a tray. The frame has a gantry frame structure; the vertical motion axis is driven by a first servo drive unit to achieve vertical reciprocating motion; the horizontal telescopic motion axis is a two-stage synchronous telescopic mechanism, with a second servo drive unit driving a first telescopic arm to reciprocate horizontally, and the first telescopic arm driving a second telescopic arm to reciprocate horizontally along with the first telescopic arm via a synchronous belt transmission device; the movement speed of the second telescopic arm is twice that of the first telescopic arm; the claw device picks up the tray, and under the drive of the vertical and horizontal telescopic motion axes, the automatic loading and unloading of the tray and workpiece in the flexible manufacturing system is completed; it has the characteristics of large load capacity, wide reach range, stable and efficient loading and unloading, as well as compact structure and small footprint; it is used in flexible manufacturing systems to realize automated and flexible production and processing of target workpieces.

This invention belongs to the field of production scheduling technology for flexible manufacturing systems, specifically relating to a Petri net-based method for rescheduling urgent orders in flexible manufacturing systems. Based on the Petri net model of the flexible manufacturing system, this invention proposes a novel rescheduling strategy; when urgent orders arrive, it proposes a method for reconstructing the Petri net model and classifying and rearranging the processing sequence. In the design of the scheduling strategy, this invention optimizes and improves the genetic algorithm. First, it uses the Tent chaotic mapping method to generate the initial population, making the population distribution more uniform; second, in the selection operation of the inheritance operation, it adopts an elite retention strategy and a roulette wheel method, selecting the better individuals based on their fitness values; in the crossover operation, it uses the POX crossover method, which can effectively expand the range of neighborhood solutions; and in the mutation operation, it uses a non-uniform mutation rate to enhance the algorithm's spatial search capability, enabling it to perform a more comprehensive spatial search.

The invention discloses an editing system for generating an FMS flexible line digital twin billboard, and relates to the technical field of flexible manufacturing systems. Comprising a digital twin Kanban editor which is used for creating and editing a Kanban scheme; the Kanban tool module is used for configuring a Kanban and providing configuration import and export functions; and the digital twin Kanban preview interface module supports interactive adjustment, displays a finally configured Kanban effect in real time, and dynamically displays an equipment operation state and alarm information. According to the method, a LeaferJS engine and an ES6 object-oriented design mode are adopted as core schemes, so that the maintainability of codes is greatly improved while the process running of the system is ensured; and a data mapping thought is adopted, so that the equipment can be better managed and configured.

The invention belongs to the technical field of machine manufacturing, and particularly relates to an automatic self-positioning circular collet clamp for intelligently manufacturing flexible wires and an operation method. By arranging the circular internal expansion collet which is matched with the conical surface of the collet driving part and is provided with the special driving hole, the conical surface of the driving arm is driven to extrude the driving hole by utilizing the axial locking of the adjusting fastener, so that the force is transmitted to the concentric arc-shaped long side on the cylindrical body through the upper side wall of the rectangular hole and the short side of the L-shaped hole, and is converted into uniform radial expansion force; according to the design, traditional manual correction and a special adapter plate are abandoned, the workpiece clamping range is remarkably widened, the efficiency is improved, seamless integration and reliable interaction with a flexible manufacturing system are ensured through a side face positioning arc groove, a robot clamping groove, an information identification code mounting groove and a bottom positioning gasket, and the machining precision is improved. The clamping precision, the automatic compatibility and the process stability are integrally improved, and the comprehensive cost and the abnormal rate are effectively reduced.

The application discloses an online fault detection method of a flexible manufacturing system based on a labeled Petri net modeling, is applied to the field of manufacturing system fault diagnosis, and aims at the problem of high complexity of a designed diagnostic device in existing fault diagnosis technologies; firstly, the application models a corresponding labeled Petri net system according to the physical characteristics of the flexible manufacturing system, then calculates the minimal marking of each observable transition in the labeled Petri net system, fully reflects the path of event occurrence in system operation, next, constructs a corresponding fault diagnostic device based on the obtained minimal marking, finally, estimates the current system state according to the observed event occurrence sequence, and judges whether a fault transition is emitted, that is, whether a fault occurs, so that the fault detection is realized; the method of the application can not only effectively reduce the complexity of the diagnostic device, but also accurately judge the fault condition of the system.

The invention discloses a flexible manufacturing system based on a reconfigurable manufacturing island, and relates to the technical field of intelligent manufacturing and flexible production systems. The system comprises an AI demand analysis and scheduling center, a reconfigurable manufacturing island cluster, a real-time control network and a movable operation unit. The AI center automatically analyzes a user order into a manufacturing task sequence, dispatches a manufacturing island cluster to dynamically combine into a temporary production line through an optimization algorithm, controls a network in real time to guarantee reliable transmission of instructions and state information, realizes automatic transfer of parts through a movable operation unit, and combines digital twinborn simulation and automatic quality inspection. And on-demand dynamic reconstruction and full-process autonomous operation of the production system are realized, the manufacturing flexibility is remarkably improved, the labor cost is reduced, and the method is suitable for multi-variety and small-batch production scenes.