5896 results about "Material distribution" patented technology

The invention relates to the technical field of building design and digitization, and discloses an automatic design method for a special-shaped facing structure based on parametric modeling. The method comprises the following steps: firstly, acquiring a geometrical characteristic parameter set of the special-shaped facing structure, wherein the geometrical characteristic parameter set comprises curved surface curvature distribution, boundary constraint conditions and a material attribute threshold value; thirdly, according to the curved surface curvature distribution, generating an initial geometric topological grid by using a dynamic subdivision algorithm, adjusting node positions according to boundary constraint conditions to obtain an optimized structural framework, and performing layered mapping on material attribute thresholds to generate a material distribution map; then, the input parametric modeling engine generates a three-dimensional parametric model, finally, a self-adaptive adjustment strategy graph is constructed through a multi-objective optimization algorithm, and a final design scheme is output. By means of the method, automation of design of the special-shaped facing structure is achieved, design efficiency and accuracy are improved, material utilization is optimized, scheme adaptability is enhanced, and design process collaboration is improved.

A magnetic separator for a magnetite powder production process, comprising a magnetic separation box (1). An opening is formed in a side wall of the magnetic separation box (1), and a door (2) is hingedly connected at the opening; the door (2) is provided with an observation window (3); a feeding channel (5) is obliquely arranged on the magnetic separation box (1); a feeding hopper (4) is fixed on the top of the feeding channel (5); a material distribution mechanism (6) is arranged inside the magnetic separation box (1); a primary magnetic separation drum (7) and a secondary magnetic separation drum (8) are rotatably mounted in the magnetic separation box (1); multiple partition strips (9) are evenly arranged on the side wall of the primary magnetic separation drum (7) along the circumferential direction; and a driving mechanism (10) is mounted on the side wall of the magnetic separation box (1) away from the door (2), and is used for driving the primary magnetic separation drum (7) and the secondary magnetic separation drum (8) to rotate synchronously.

The invention provides a medical material distribution method and system based on an offshore medical rescue unmanned aerial vehicle. Wherein a marine environment model is generated; according to the marine environment model, an AI scheduling algorithm is applied to analyze the specific demand, priority and emergency degree of a marine receiving point, and an optimized task sequence and a material loading scheme are obtained; establishing a cooperative communication mechanism between offshore medical rescue unmanned aerial vehicle formations through an AI-driven distributed consensus algorithm, and dynamically adjusting a flight path and generating a distribution path by using an AI path planning technology in combination with real-time situation awareness and obstacle detection analysis; and after arriving at a specified receiving point, automatically calibrating the landing coordinates, and synchronizing the material state, handover information and environmental data to a medical team and a central scheduling system through a low-delay wireless transmission mode according to the distribution path. According to the technical scheme provided by the invention, the efficiency and reliability of offshore material distribution are greatly improved.

The invention discloses a speed reducer gear box lightweight design method based on topological optimization, and relates to the technical field of gear box optimization. A processing end establishes a three-dimensional parameterized geometric model, performs finite element mesh generation on the geometric model, optimizes material distribution of the geometric model based on a topological optimization algorithm, and optimizes the material distribution of the geometric model; a topological optimization result is parameterized into geometric features, a random generation tool is used for generating a plurality of initial variable sets, a genetic algorithm is used for outputting an optimal variable set, a geometric model is reconstructed according to the topological optimization result and a genetic algorithm result, and after dynamic-static simulation is conducted on the reconstructed geometric model, the optimal variable set is obtained. And evaluating whether the performance of the reconstructed geometric model reaches the standard or not, and if not, optimizing genetic algorithm parameters according to an evaluation result and then cyclically reconstructing the geometric model until the performance of the reconstructed geometric model reaches the standard. The design system intelligently optimizes a local high-stress area, so that the lightweight requirement is met, and meanwhile, the strength and rigidity balance of the structure is ensured.

The invention relates to the technical field of structure optimization design, and particularly discloses a box-type beam structure lightweight design method based on topological optimization, which comprises the following steps: constructing a multi-physics field coupled three-dimensional parameterized model, and performing cross-scale analysis on integrated structure rigidity, thermal deformation, vibration mode and fatigue life to obtain a three-dimensional parameterized model; a variable density method and level set method mixed topological optimization strategy is adopted, and an initial material distribution scheme meeting the structural function integrity is generated by modeling the relationship between density and stress strain; starting a quantum genetic algorithm and deep reinforcement learning fused intelligent optimization engine; according to the method, through the multi-physics field coupled three-dimensional parameterized model, a variable density method and level set method mixed topological optimization strategy is combined, the relation between the structural lightweight target and the additive manufacturing process is effectively balanced, multi-physics field analysis of thermal response, vibration, fatigue and the like is introduced, and the structural lightweight target is obtained. And it is guaranteed that the box-type beam meets the mechanical property and other functional requirements in actual application.

The present invention relates to an intelligent material distribution and material taking device and method for solid fermentation of powdery and granular fertilizers, comprising at least one production line, the production line comprising: a longitudinal conveyor belt parallel to the length direction of the fermentation tank; a transverse conveyor belt arranged above the fermentation tank along the width direction of the fermentation tank; a discharge vehicle, including a longitudinal discharge vehicle and a transverse discharge vehicle; a material distribution conveyor belt for receiving the fermentation raw materials scattered by the longitudinal discharge vehicle; a longitudinal receiving hopper; a mobile spiral material taking machine, which is longitudinally slidably arranged in the fermentation tank to collect the intermediate products in the fermentation tank; a controller, which controls the intelligent material distribution and material taking device for solid fermentation of powdery and granular fertilizers to switch between the two working states of distribution and material taking, and controls the transverse conveyor belt and the longitudinal discharge vehicle to keep synchronous longitudinal movement. The controller is used to switch the working state of the material distribution and material taking device, so as to realize intelligent and automatic material distribution and material taking, so as to meet the needs of solid fermentation of powdery and granular fertilizers.

The invention belongs to the technical field of 3D printing, and particularly relates to a 3D printing control method based on multi-material gradient transition, which comprises the steps of model processing, multi-material distribution, path planning, dynamic parameter control, online monitoring and feedback optimization. According to the method, through dynamic mixing of a nonlinear gradient function and multiple materials, limitation of traditional discrete material switching is broken through, continuous smooth transition of material attributes is achieved, printing parameters are dynamically adjusted, and the forming consistency of gradient materials under complex working conditions is remarkably improved; local strengthening is carried out according to the thermodynamic property difference of a multi-material interface, interface embrittlement caused by a traditional single process is avoided, the curing degree is detected in real time through a spectrum sensor, the problem that the curing degree of a traditional light curing process is uncontrollable is solved by combining partitioned UV light intensity adjustment and control, and precise gradient forming of a soft and hard alternate structure is achieved.

The invention is suitable for the technical field of production and manufacturing, and provides a material distribution method and device, electronic equipment and a computer program product. Comprising the following steps: acquiring residual material information of each material storage location, vehicle position information and a first working state of each delivery vehicle, and delivery capability information and a second working state of each delivery personnel; according to the residual material information, generating a delivery order and / or a return-to-empty order; determining a target delivery vehicle and a target delivery person according to the delivery order and / or the return-to-empty order, the vehicle position information, the first working state, the delivery capability information and the second working state; and sending the delivery order and / or the return-to-empty order to the target delivery vehicle and the target delivery personnel to instruct the target delivery personnel to complete the delivery order and / or the return-to-empty order through the target delivery vehicle. According to the method, all kinds of information on the production line can be fully acquired and then material distribution is commanded, distribution resources can be fully utilized, and the material distribution efficiency is improved.

The invention provides an intelligent carriage cleaning method which comprises the following steps: matching and selecting a proper cleaning tool from a predefined tool library according to characteristics and material attributes of a cleaning area, and realizing automatic assembly of the tool through a mechanical arm to improve the cleaning adaptability; aiming at each cleaning area, learning and optimizing a motion track and operation parameters of a cleaning tool through a reinforcement learning algorithm in combination with a carriage internal environment constraint condition and a cleaning efficiency target, and formulating a cleaning path; in the cleaning process, the distribution change condition of residual materials is obtained in real time through a visual sensor, a material distribution diagram is dynamically updated through target detection and a semantic segmentation algorithm, and a cleaning path is adjusted in real time according to the updated distribution diagram; for the materials with high adhesion degree, the contact force between the cleaning tool and the materials is monitored in real time through a force feedback sensor, and the pressure and angle of the cleaning tool are dynamically adjusted in combination with a pre-established material characteristic database until the materials are cleaned.

The lightweight design method for the steel-concrete combined wind power tower drum based on the topological optimization algorithm comprises the steps that S1, a multi-physics field coupling model of the steel-concrete combined wind power tower drum is constructed, and coupling parameters are determined; s2, material layouts of the steel-concrete combined wind power tower drum on the macro scale and the micro scale are obtained, and multi-scale collaborative optimization is carried out by dynamically adjusting scale parameters; s3, constructing a material distribution strategy, determining the distribution form and orientation of a steel material in a tension area and a compression area of the tower drum, and reasonably configuring a concrete material; s4, predicting tower performance under different design variables through the deep neural network model; and S5, performing multi-target evaluation on the optimized steel-concrete combined wind power tower drum design scheme, and determining a lightweight design scheme by constructing a comprehensive evaluation function and weighing the relationship between targets. According to the method, on the premise that the mechanical property and the structural reliability of the wind power tower drum are guaranteed, accurate regulation and control and lightweight design of material distribution are achieved.

The invention discloses an intelligent assembly loading control system of a geotextile laying ship, and belongs to the technical field of ship intelligent control. According to the invention, through the intelligent stowage planning module, based on standardized scheme matching and an adaptive optimization algorithm, objectives of balanced material distribution, shortest conveying path and ship stress rationalization are realized, stowage precision is improved, and sailing stability is optimized; the operation scheduling and arranging module dynamically generates an efficient operation time sequence graph through real-time cabin state recognition, process decomposition, operation time sequence optimization and remote cooperative control, precise scheduling is achieved, manual intervention is reduced, the automatic operation execution module is combined with real-time monitoring, abnormal early warning and intelligent feedback, the safety and adaptability of the operation process are ensured, and the working efficiency is improved. According to the method, loading deviation overrun and ballast abnormity are avoided, the decision-making capacity of the system is continuously optimized, manual operation errors are effectively reduced, the safety and economical efficiency of ship operation are improved, and green, energy-saving and efficient operation is helped to be achieved.

The invention belongs to the technical field of road paving, and particularly relates to a road paving system based on a multi-head self-attention mechanism, which comprises a compaction robot, a paving robot, a multi-modal data sensing layer, an AI dynamic decision core and intelligent execution equipment, the AI dynamic decision core fuses construction time sequence data and a spatial topological relation through a space-time diagram neural network to realize construction progress prediction and multi-device cooperative control, and the intelligent execution device comprises a self-adaptive screed control unit, a dynamic material distribution system, a compaction robot cluster and a non-uniform material compensation control device. According to the method, autonomous optimization and dynamic correction of the whole process of paving, compacting and detecting can be achieved, manual intervention is reduced, the intelligent level is high, the flatness control precision can be improved, the construction efficiency can be improved, material waste can be reduced, and the engineering cost can be reduced.

The invention discloses an outgoing line shaft slip-form lining construction method, which belongs to the field of building construction, and comprises the following steps: construction preparation, completion of survey lofting of a shaft construction area, power supply, arrangement of a water supply and communication system, and slip-form manufacturing, installation and debugging. A lifting frame, a supporting frame, a vertical back ridge, a hydraulic jack, a supporting rod, a material distribution platform, a central rotary material distribution mechanism and a chute device are sequentially installed, and debugging and sliding and lifting testing of a hydraulic system are completed; slip form sliding and lifting and concrete pouring are conducted, construction is conducted in the three stages of initial sliding, normal sliding and lifting and sliding and lifting completion, and the concrete quality is ensured through layered pouring and accurate vibration; the construction precision of the slip form is controlled, deviation is monitored in real time through a laser swinger, a limiting and leveling device and a vertical monitoring system, and deviation correction measures are taken when the deviation exceeds 1.5 cm; and the sliding formwork is dismantled, specifically, the formwork is dismantled step by step after sliding formwork construction is completed. By optimizing the construction process and accurately controlling the technology, the construction efficiency and the concrete quality are remarkably improved.

The invention discloses a force-heat coupling simulation and structure optimization method and system for an ultra-complex structure, and the method comprises the steps: generating parameters and data structures required by subsequent simulation and optimization for a given model and a design domain; comprising the following steps: constructing a background coarse grid, constructing a seed point and a radius, modeling a porous structure based on a voronoi structure, and pre-calculating a stress field of the porous structure; calculating a density field, performing thermodynamic simulation on the generated porous structure based on the background coarse grid and the shape function according to the density field, querying a stress matrix corresponding to each seed point according to the obtained stress field, and performing characteristic decomposition and extraction on the stress matrix to obtain a weight matrix corresponding to the seed point; a topological optimization method is used, control parameters are updated through a GCMMA method according to the sensitivity, and therefore the porous structure is updated, material distribution is optimized, and optimization is conducted continuously till the change of the control parameters is smaller than a threshold value. According to the method, the topological optimization problem of the anisotropic porous structure under the multi-physical-field condition can be quickly and effectively solved.

The utility model discloses a feeding tray conveying and filling system for propagating lepidoptera larvae, which comprises a tray stripping part and a bearing assembly, the tray stripping part comprises a supporting platform, a penetrating opening is formed in the supporting platform, a bearing gap and a stripping gap are formed between two adjacent trays of a stack of trays, a material distribution supporting claw is arranged at the bearing gap, and a material distribution supporting claw is arranged at the stripping gap. A material distribution pusher dog is arranged at the stripping gap; the tray upstream transferring part is located at the upstream of the tray stripping part and can convey a stack of trays to the penetrating opening; the tray downstream transferring part is located at the position, corresponding to the penetrating opening, below the supporting platform and can convey the fallen trays to be fallen; the filling part is positioned above the tray transferred by the tray downstream transferring part and is provided with a filling outlet corresponding to the tray; and the insect receiving part comprises an insect receiving conveying belt and an egg conveying part and is used for conveying eggs into the tray. According to the system, the working efficiency is greatly improved, the structure is simplified, and the cost can be reduced.

The invention provides a multi-steel-pipe automatic hot galvanizing device which comprises a first material distribution slide way, a first material stirring fluted disc, a middle shaft, a truss and a lifting plate, the first material distribution slide way is sequentially provided with a plurality of material passing gaps from inside to outside, and each material passing gap is used for guiding one to-be-produced steel pipe; and the outlet end of each material passing gap corresponds to a magnetic suction roller of one V-shaped magnetic roller. According to the automatic hot galvanizing device for the multiple steel pipes, the first material distributing sliding way is infiltrated in the zinc melting pot, the multiple steel pipes can be distributed through the first material distributing sliding way to slide into the zinc melting pot, so that each steel pipe can make full contact with liquid zinc, the positions of the steel pipes in the zinc melting pot can be stirred through the first material stirring fluted disc, and the steel pipes can be separated from the zinc melting pot through the first material stirring fluted disc; the steel pipes are lifted to the preset position through the lifting plate, the steel pipes are guided out through the V-shaped magnetic rollers, the multiple steel pipes can be galvanized at the same time through the device, the production efficiency is improved, and the production quality is guaranteed.

The invention relates to the technical field of cement prefabricated part production equipment, in particular to a cement prefabricated plate production device and method. Comprising a rack, and the rack is provided with a steel bar laying mechanism, a pouring and distributing mechanism, a precise vibrating mechanism, a forming and pressing mechanism and a conveying mechanism; the steel bar laying mechanism comprises a laying support, a moving assembly and a positioning assembly. The pouring and distributing mechanism comprises a storage bin and a grading and distributing assembly; the precise vibrating mechanism comprises a vibrating frame and a vibrating unit; the forming press-fit mechanism comprises a press-fit support, a press-fit driving assembly and a press-fit plate. According to the invention, the adjustable design of steel bar spacing is matched with the positioning assembly, so that the spacing of steel bars of different specifications is accurately adjusted, the steel bars are quickly placed at preset positions, and then the distribution amount of each area is adjusted according to the distribution of the steel bars through the grading distribution assembly to ensure sufficient slurry in the corresponding cement area; and the precise vibrating mechanism combines preset steel bar parameters to achieve differential vibrating, and the vibrating strength is enhanced in a steel bar dense area to guarantee sufficient slurry filling.

The embodiment of the invention relates to the technical field of emergency material distribution, and provides a material distribution method and system, an electronic device and a medium, and the method comprises the steps: building a mixed integer programming model with a plurality of pieces of preset constraint information as constraint conditions according to a plurality of disaster points of a target region and isolation point and non-isolation point data of each disaster point, the mixed integer programming model is a multi-truck and multi-ground unmanned vehicle collaborative distribution model; solving the mixed integer programming model based on a multi-heuristic initialized adaptive particle swarm optimization algorithm by taking minimization of delivery time as a target; determining an optimal delivery path of the plurality of trucks and the plurality of ground unmanned vehicles based on a solving result of the mixed integer programming model; and based on the optimal distribution path, carrying out material distribution on a plurality of disaster-affected points of the target area and isolation points and non-isolation points of each disaster-affected point. Therefore, efficient path planning and resource optimization scheduling are realized.

The teachings of the present disclosure enable the manufacture of one or more piezoelectric micromachined ultrasonic transducers (PMUTs) having a resonant frequency of a specific target value and / or substantially matched resonant frequencies. In accordance with the present disclosure, a flexible membrane of a PMUT is modified to impart a desired parameter profile for stiffness and / or mass to tune its resonant frequency to a target value. The desired parameter profile is achieved by locally removing or adding material to regions of one or more layers of the flexible membrane to alter its geometric dimensions and / or density. In some embodiments, material is added or removed non-uniformly across the structural layer to realize a material distribution that more strongly affects membrane stiffness than mass. In some embodiments, material having a specific residual stress is added to, and / or removed from, the membrane to define a desired modal stiffness for the membrane.

The invention relates to the technical field of intelligent control, in particular to an intelligent control method and system for a high-compatibility charging machine of a glass all-electric melting furnace. The method comprises the following steps: carrying out data preprocessing on obtained original data; state estimation and feature extraction are carried out on the preprocessed data; carrying out distribution track planning based on the extracted features; performing parameter decision by using the control parameters after the neural network distribution track planning; performing control execution and feedback based on a decision result; and outputting a control instruction and a running state. Through multi-source data acquisition and deep analysis, reinforcement learning optimization and an intelligent decision algorithm are combined, and the system can accurately plan a material distribution track and dynamically adjust control parameters such as the spiral conveying rotating speed and the belt speed.

The invention relates to a stable ring roller pulverizer which comprises a machine shell, an air guide barrel and a mounting barrel are fixedly arranged in the machine shell in a sleeved mode, and a grinding ring is fixedly connected to the inner side of the mounting barrel; a plurality of material grinding grooves are formed in the inner side of the grinding ring in an inward concave mode, the material grinding mechanism comprises a rotating disc driven by a corresponding driving mechanism, and a plurality of grinding rollers matched with the material grinding grooves of the grinding ring are rotationally installed on the periphery of the rotating disc; the buffering type material distributing mechanism comprises a feeding channel, a discharging port of the feeding channel is right opposite to the center of the rotating disc, a mounting part is mounted below the discharging port of the feeding channel in a lifting manner, a material distributing disc is rotationally mounted on the bottom side of the mounting part, and buffering rubber matched with the output shaft end of the driving mechanism is fixedly connected to the material distributing disc downwards; and the grader comprises a cylindrical filtering grating which is rotationally arranged at the feeding end of the discharging pipe. According to the device, dispersed feeding can be achieved, and the supporting performance of the material grinding mechanism can be enhanced in time when the device vibrates seriously.

The physical separation and recovery device comprises a pulverizer, a pulverizing roller is rotationally connected into the pulverizer, a sieve plate is fixedly connected to the position, located below the pulverizing roller, in the pulverizer, and a sorting box is fixedly connected to one side of the pulverizer; a grounding roller in transmission connection with the smashing roller is fixedly connected into the sorting box and used for compensating and stabilizing an electric field, a high-voltage electrode is fixedly connected to one side of the grounding roller and used for generating a high-voltage electrostatic field, and the device is provided with a feeding mechanism which comprises a feeding box, a feeding frame, an air cylinder and other components. Materials can be automatically fed into the crusher for crushing treatment, so that the working efficiency is improved; the partition plate which is fixedly connected with the top of the feeding frame and is of an inverted L-shaped structure is used for blocking materials and can also form an impact area to primarily separate large materials and prevent the large materials from being clamped and suspended in the pulverizer; according to the device, uniform material distribution and vibration discharging of materials are achieved through the spiral blade, the rotary material distribution pipe, the cam and other components.

The invention relates to the technical field of construction engineering machinery, and discloses a distribution machine path planning method and device, and the method comprises the steps: obtaining the boundary information of a construction region and the obstacle position information; dividing the construction area into a plurality of sub-areas; sorting the sub-regions to obtain an optimal sub-region sorting scheme; respectively determining a path access sequence corresponding to each sub-region; when the obstacles exist in the sub-regions, adjusting the paths corresponding to the sub-regions to obtain final paths in the plurality of sub-regions; according to the optimal sub-region sorting scheme, the final paths in the multiple sub-regions are connected in sequence, and the construction path of the material distributing machine is determined; determining the movement rate of the material distributing machine according to the pouring amount of the path area; and determining a material distribution scheme of the material distributor. According to the method, the optimal sub-region sequence and the path sequence corresponding to the sub-regions are determined to determine the optimal final construction path of the material distributing machine, co-evolution of path planning is realized, and the path planning efficiency and the execution flexibility of the material distributing machine in a complex environment are greatly improved.

The invention discloses garbage power generation incineration slag sorting treatment equipment, and relates to the technical field of garbage crushing and sorting, the garbage power generation incineration slag sorting treatment equipment comprises a sorting frame, a feeding hopper is mounted on the sorting frame, a multifunctional crushing chamber is mounted in the middle of one side, away from the feeding hopper, of the sorting frame, and an atomization pouring chamber is arranged below the multifunctional crushing chamber; a sorting chamber is arranged on one side, far away from the multifunctional crushing chamber, of the atomization material pouring chamber; a uniform material distributing mechanism, a layered crushing mechanism and a sorting mechanism are further included; according to the scheme, the impact crushing layer and the rolling crushing layer which are stacked up and down are arranged, brittle slag blocks are rapidly crushed through the high-speed crushing hammer under the impact and shearing effects, metal is prevented from being repeatedly extruded and deformed, meanwhile, metal blocks are gently rolled through low-speed extrusion, the physical form integrity of the metal blocks is kept, and the service life of the metal blocks is prolonged. And compared with a traditional jaw crusher which mixes and crushes the metal and the slag blocks together, the jaw crusher has the advantage that the deformation rate of the iron blocks is reduced.

The invention relates to a radial frequency-doubled sound filtering metamaterial and a topological optimization design method thereof.The radial frequency-doubled sound filtering metamaterial comprises scatterers which are arranged on a base body and distributed in a concentric circle mode, and the topological optimization design method comprises the following steps that a two-dimensional axial symmetry model is established, the two-dimensional axisymmetric model corresponds to the cross section of the radial frequency-doubled sound filtering metamaterial in the radius direction and comprises periodically arranged unit structures, and each unit structure comprises a main board and a square design domain; a Floquet periodic boundary condition is applied to parallel boundaries of a unit structure in the radius direction, other boundaries are set as free boundaries, a genetic algorithm is adopted to carry out iterative optimization on the material distribution topology of a square design domain, the optimal material distribution topology of the square design domain is obtained, and then the final optimized shape of the radial double-frequency sound filtering metamaterial is obtained. Compared with the prior art, the invention has the advantages of capability of realizing omni-directional sound wave frequency doubling filtering, high design reliability and the like.

The invention discloses a cutting device and method for a hot-melt woven sleeve. The device comprises a rack, and a first guide adjusting mechanism, a second guide adjusting mechanism, a pressing mechanism, a laser cutting mechanism and a distributing mechanism which are positioned on the rack, a roller conveying mechanism for conveying the hot-melt woven sleeve is arranged between the first guide adjusting mechanism and the second guide adjusting mechanism; the pressing mechanism is used for pressing the local section of the hot-melt woven sleeve conveyed from the roller conveying mechanism; the laser cutting mechanism is arranged above the material pressing mechanism and the material distributing mechanism and is used for cutting the hot-melt woven sleeve close to the flat part; and the material separating mechanism is used for separating the cut hot-melt woven sleeves. Local sections of the hot-melt woven sleeve are pressed to be flat through the material pressing mechanism, the hot-melt woven sleeve is prevented from moving during laser cutting, finally, the adhesion phenomenon after cutting is eradicated through material distribution of the material distribution mechanism, and the product quality is guaranteed.

The invention relates to the field of regenerated fiber production equipment manufacturing and process integration, and discloses a modular intelligent continuous regenerated fiber production line which comprises a sorting and cleaning module, a melt extrusion module, an impurity filtering module, a granulation module, a decoloration module, a solid phase polycondensation tackifying module and a melt spinning module. The self-adaptive material distribution device is used for realizing material connection among the modules; the automatic control system is used for realizing collaborative operation of all the modules; wherein the solid phase polycondensation tackifying module is provided with an intelligent control unit for dynamically optimizing the operation of the solid phase polycondensation tackifying module. Compared with the prior art that each process is relatively independent and depends on manual scheduling or simple linkage, the scheme effectively overcomes the common problems of unsmooth material conveying, unbalanced matching between modules and insufficient automation degree in the traditional regeneration process, and remarkably improves the production continuity and the resource utilization rate.

The invention relates to the technical field of reinforcement learning intelligent scheduling, in particular to an intelligent scheduling management method for prefabricated part production resources based on reinforcement learning. The specific implementation process comprises the steps of collecting order demands, material distribution and production pedestals in real time, and mapping the order demands, the material distribution and the production pedestals into production mold load tensors; when a scheduling request is triggered, inputting the production modulo tensor into a resource arrangement network, and performing search and reasoning by using a scheduling strategy based on a multi-head attention mechanism to generate a resource scheduling matching instruction; calculating a state difference tensor, and outputting an efficiency reward signal in combination with a delivery constraint and a cost constraint; and packaging the production modulo tensor, the resource scheduling matching instruction and the reward signal into semantic interaction experience, storing the semantic interaction experience into a scheduling experience playback pool for gradient modulation, and iteratively optimizing a scheduling strategy. According to the method, learning can be carried out from a large amount of historical data by utilizing reinforcement learning, iterative optimization of the scheduling strategy is realized, the calculation time consumption of scheduling instruction generation is reduced, and the flexibility of production scheduling is improved.

The utility model provides a flexible material distributing and rotating device. The flexible material distributing and rotating device comprises a base, a rotating assembly, a material bearing piece and a beating assembly. The rotating assembly comprises a rotating driving part and a rotating disc, the rotating driving part is fixed to the base, and the rotating disc is arranged on the surface of the base and circumferentially rotates relative to the base along with the rotating driving part. The material bearing piece is laid on the surface of the rotating disc so as to rotate along with the rotating disc, the material bearing piece is provided with a flexible material overturning area, and the rotating disc is provided with a hollow area corresponding to the flexible material overturning area. The beating assembly comprises a beating driving part and a beating part, the beating driving part is fixedly connected to the bottom of the base, the beating part is connected to the output end of the beating driving part and is opposite to the beating window, and the rotating surface of the beating part is basically perpendicular to the material bearing part; when the striking piece rotates, the top end of the striking piece penetrates through the striking window in the base and the hollowed-out area in the rotating disc to abut against the flexible material overturning area in an interference mode, and the flexible material overturning area is struck so that the flexible material overturning area can vibrate and drive materials borne by the flexible material overturning area to be separated and overturned.

The invention discloses a flexible structure 3D printing support control method combined with a resistor, and relates to the technical field of 3D printing, and the flexible structure 3D printing support control method comprises the following steps: generating a continuous density field and a dynamic damping parameter field of a support structure based on multi-target topological optimization of dynamic stiffness constraint and material distribution; quantifying the contact probability of the support structure and the target model through a membership function, and constructing a nonlinear gradient field of a contact interface; the stress coupling relation between the supporting structure and the model interface is defined based on the mixed constitutive tensor, the interface stress transfer coefficient is adaptively updated based on the material shrinkage rate difference, multi-physics field collaborative optimization is achieved in combination with regularization constraint, the key part of the supporting structure is recognized, and the resistor is integrated to the key part of the supporting structure. Through multi-target topological optimization, membership construction and adaptive stress transfer coefficient updating, the material consumption is reduced, the printing efficiency is improved, stress concentration at an interface is inhibited, the forming defect risk is reduced, and the structural reliability is improved.