15 results about "Production chain" patented technology

The invention provides a block chain-based fresh product logistics full-chain traceability management and control method and system, and the method comprises the steps: obtaining environment collection data of fresh products, carrying out the encryption processing of the environment collection data, and carrying out the chaining evidence storage; according to the environment collection data subjected to the uplink evidence storage, performing score calculation on the fresh products by using a variety attenuation model to obtain quality scores; when the quality score is lower than a set threshold value or the decline rate of the quality score is greater than a set range, dynamically generating an intelligent contract based on a rule template library; executing the intelligent contract through cross-chain routing, generating cross-chain transaction data covering a production chain, a logistics chain and a sales chain, and performing credibility verification on the cross-chain transaction data by using an improved PBFT algorithm to obtain full-chain traceability management and control information of the fresh products, through deep fusion of a multi-chain collaborative architecture, a dynamic intelligent contract and a lightweight node consensus mechanism, an efficient, safe and transparent supply chain management platform can be constructed.

The invention discloses a method for automatically generating a matching and cutting result of a clothing and luggage manufacturing industry order, and the method comprises the steps: receiving the original demand data of a plurality of orders, and obtaining an order data set which is aggregated according to a version group; according to the version group order data set, an initial matching and cutting scheme set with excess material identification is obtained; according to the initial matching and cutting scheme set with the excess material identification, bed number / version number multi-objective optimization processing is carried out through a resource constraint scoring model, and an optimal matching and cutting scheme is obtained; according to the optimal matching and cutting scheme, performing cutting piece physical parameter packaging by utilizing an instruction translator to obtain a structured cutting piece instruction set which can be identified by a typesetting system; and according to the structured cutting instruction set, carrying out cutting bed separation task construction through a task work order generator to obtain an automatic cutting bed task order with a work order identifier. By utilizing the embodiment of the invention, full-link automation from data to production can be realized, the resource utilization rate of the cutting bed is improved, and the manual intervention cost is reduced.

The invention relates to the technical field of production and manufacturing management, and discloses a multi-source demand fusion and dynamic scheduling production plan collaborative management method and system, and the method comprises the steps: automatically obtaining production demands from a plurality of heterogeneous business source systems through a unified interface; performing data mapping and conversion on the heterogeneous demands to generate standardized main production plan demands, and distributing a unique tracing identifier penetrating through a production full link for each demand; calculating and generating a main production plan through a dual-mode scheduling engine supporting forward and reverse scheduling algorithms on the basis of a standardized demand, a product production cycle parameter and a working calendar; and issuing the main production plan to a manufacturing execution system, automatically capturing demand changes, performing versioning processing on affected plan items, and re-triggering scheduling calculation. According to the invention, end-to-end monitoring is realized through the unique tracing identifier, and rapid and closed-loop response is carried out on demand change, so that the accuracy and agility of production plan making are improved.

This invention discloses a data management and control system for the entire production process of silicone rubber products based on digital twins, belonging to the field of silicone rubber production management and control technology. It includes a data acquisition module, a twin construction module, a simulation driving module, and a quality field module. The data acquisition module collects real-time physical data of the entire production chain of silicone rubber products from raw materials to finished products. The twin construction module establishes a virtual digital twin of the physical production line. The simulation driving module injects real-time production data into the twin and drives synchronous simulation to generate a sequence of state parameters. The quality field module performs dynamic field analysis on the state parameter sequence, constructs an adaptive mesh topology that dynamically deforms with the parameters, and generates dynamic quality streamlines representing the quality transfer path between the topology nodes. This system realizes synchronous simulation of the entire silicone rubber production process and digital representation of the quality transfer process.

The invention discloses an intelligent production chain plate auxiliary positioning and conveying device, and belongs to the field of chain plate production and conveying devices. The intelligent production chain plate auxiliary positioning and conveying device comprises a rack, two symmetrical mounting plates are arranged at the top of the rack, the distance between the mounting plates is adjustable, first conveying belts used for conveying chain plates are arranged on the mounting plates, side edge positioning assemblies are arranged on one sides of the mounting plates, and the side edge positioning assemblies are used for restraining horizontal displacement of the chain plates; a top positioning assembly is arranged between the two first conveying belts and used for pressing the top of the chain plate to achieve positioning. A feeding assembly used for feeding the chain plate is arranged at one end of the machine frame, and a material transferring assembly is arranged between the feeding assembly and the machine frame. Through the material transferring assembly, the first conveying belt, the side edge positioning assembly and the top positioning assembly, the stability of the positions of the chain plates is guaranteed while the chain plates do not need to be manually carried and arranged, continuous operation can be achieved, and the production efficiency is improved.

The invention relates to the technical field of non-woven fabric production quality management and control, in particular to an EVA-based laminated non-woven fabric product quality tracing method and system, and the method comprises the steps: synchronously collecting whole production chain time sequence process parameters through a sensor network, generating an original parameter flow bound with a production coil, obtaining a baseline, a rhythm and a disturbance component through multi-scale decomposition, and obtaining a reference parameter flow; and mapping to a product raw material layer, an interface bonding layer and a surface layer to generate a layering quality parameter set. And constructing a defect mode sample library, identifying a potential defect evolution path through unsupervised clustering, calculating a dynamic matching degree between a current parameter set and the defect evolution path in an early stage in real time, and triggering parameter backtracking and root positioning of a corresponding process link if the dynamic matching degree exceeds a threshold value. According to the method, layered association of the process parameters and the product structure is realized, defect evolution characteristics can be identified in advance, and the accuracy and the preposition of quality tracing of the EVA laminated non-woven fabric are improved.

An e-commerce supply chain system relates to the technical field of e-commerce. The system comprises an inventory synchronization module which collects supplier inventory data and displays the supplier inventory data on an operator interface; the demand issuing module is used for pushing commodity demand information to a supplier; the bidding response module is used for supplying suppliers to submit bidding schemes; the supplier screening engine automatically sorts the bidding schemes; the production link traceability interface allows a supplier to upload whole-process data for a purchaser to check a compliance state; the customer grading and pricing module is used for adjusting prices according to historical transaction records of purchasers; and the direct supply logistics scheduling unit allows high-reputation suppliers to directly supply purchasers. According to the system, the problems of non-transparent inventory, low supplier screening efficiency, lack of food tracing, rigid pricing and logistics redundancy in a traditional supply chain are solved. And bidding and preferential selection, full-link tracing and dynamic pricing are realized through module cooperation, so that the screening efficiency of suppliers is improved, the logistics cost is reduced, the re-purchase rate of high-reputation customers is increased, and the food safety is guaranteed.

The application discloses a kind of packing line movable plate chain machine control method and system, the method includes: detecting production chain plate and the material information on storage chain plate, obtains material position and transmission speed;Configuration movable plate chain machine, according to the material position on the production chain and transmission speed Current control mode is judged;According to the current control mode, the conveying motor on the movable plate chain machine is driven to move at first speed, and the material is moved to first preset position;When the material moves to the first preset position, the conveying motor on the corresponding movable plate chain machine is driven to perform deceleration motion at reverse preset second acceleration, until material runs to movable plate chain machine outlet end and reaches second speed.

The present application relates to the technical field of non-woven fabric production quality control, in particular to a quality tracing method and system for EVA laminated non-woven fabric products, comprising: synchronously collecting time sequence process parameters of the whole production chain through a sensor network to generate original parameter flow bound with production volume, obtaining baseline, rhythm and disturbance components through multi-scale decomposition, and mapping them to product raw material layer, interface bonding layer and surface layer to generate layered quality parameter set. A defect mode sample library is constructed, potential defect evolution paths are identified through unsupervised clustering, dynamic matching degree between current parameter set and early stage of defect evolution path is calculated in real time, and if the dynamic matching degree exceeds the threshold, parameter tracing and root cause positioning of the corresponding process link are triggered. The present application realizes the hierarchical correlation between process parameters and product structure, can identify defect evolution characteristics in advance, and improves the accuracy and proactivity of EVA laminated non-woven fabric quality tracing.

This invention provides a bottle cap production chain, comprising: a bottle cap injection molding device, a first conveying mechanism, a second conveying mechanism, and a case packer connected in sequence; a blowing mechanism is provided between the first conveying mechanism and the second conveying mechanism; the second conveying mechanism is provided with a conveying channel, a first diversion channel, a second diversion channel, a guide component, and a flipping mechanism; the case packer is connected to the first diversion channel and the second diversion channel respectively, and is used to sequentially place the correctly oriented bottle caps and the incorrectly oriented bottle caps into a case, so that the correctly oriented bottle caps and the incorrectly oriented bottle caps in the case are arranged alternately from top to bottom. Compared with the prior art, the bottle cap production chain of this invention can divide the bottle caps produced by the bottle cap injection molding device into two batches, and then flip the correctly oriented bottle caps of one batch to the incorrect orientation, and the correctly oriented bottle caps and the incorrectly oriented bottle caps are sequentially loaded into the case by the case packer, improving the stability of the bottle caps placed in the case.

The invention discloses a product packaging management system and method based on specification intelligent matching, belongs to the technical field of packaging production chain management, and comprises the following steps: dividing a protection demand level and a main packaging specification demand level according to packaging order data of a product object; all protection materials and main packaging materials meeting the standard in the specification database are obtained according to the requirement level, multiple sets of candidate combinations are constructed, high-quality combinations are obtained from the multiple sets of candidate combinations based on a multi-dimensional coupling optimization algorithm, the optimal protection materials, the main packaging materials and packaging equipment are matched in a step-by-step screening mode, and the optimal protection materials are obtained. According to the method, the specification matching feasibility is improved, online quality inspection and after-sales feedback comprehensive analysis are carried out on finished product packaging, whether the packaging quality meets the production requirement and the transportation requirement or not is judged, problem tracing is carried out, a complete'matching-execution-detection-optimization 'closed-loop production chain is formed, and product packaging management is optimized.

A system architecture is provided for operating a production chain in which operational status information of individual functional elements of the production chain is compared with each other.

The application discloses an electric vehicle door handle accessory manufacturing management system, specifically relates to the field of intelligent manufacturing, and is used for solving the production chain stability and efficiency problems caused by single insertion task disturbance. The application is characterized in that a scheduling dependency graph is constructed to accurately identify the influence range and conflict intensity of the single insertion task, the production chain coupling constraint is converted into a quantum optimization model for global calculation, and process collapse caused by traditional priority coverage is avoided. The anti-disturbance capability is evaluated based on the process topological characteristics, the fragile link is locked for local optimization, and the overall chain reconstruction calculation overhead is reduced. Digital twinning is used for real-time verification and calibration, the equipment load, material supply and process stability are balanced, the work-in-process backlog and equipment idle risk are reduced. The single insertion task and stable scheduling are fused through time window elastic adjustment, the production rhythm continuity is maintained, the emergency order response speed is improved, the manufacturing system resilience is enhanced, the manual intervention and trial-and-error cost are reduced, and the reliable delivery of multi-variety orders and resource efficiency are ensured.

The invention discloses an AI-based product quality risk assessment method and system, and the method comprises the steps: obtaining the multi-source data of an automobile bearing production chain, carrying out the deep extraction, obtaining the multi-source features of the production chain, constructing a physical consistency penalty term, constructing a physically guided cross-modal attention matrix, carrying out the modal fusion, obtaining the state features of the production chain, and carrying out the prediction of the product quality risk. Constructing a manufacturing process dynamic directed graph and a risk propagation adjacency matrix, performing risk propagation to determine a risk value of each manufacturing process, and performing Bayesian optimization on a risk threshold value of each manufacturing process according to a bearing structure parameter and a bearing type to obtain a risk dynamic threshold value; and carrying out quality risk assessment on the automobile bearing according to the risk value and the risk dynamic threshold value of each manufacturing process. The method not only can improve the efficiency and accuracy of automobile bearing quality risk assessment, but also has good interpretability, and can be directly applied to an automobile bearing quality risk assessment system.