1152 results about "Materials management" patented technology

The invention provides a supply chain collaborative material management system and method, and relates to the technical field of material management, and the method comprises the steps: receiving a multi-enterprise heterogeneous material data flow, and constructing an industry knowledge graph based on the field-level semantic mapping of a dynamic ontology library; a standardized data table is generated; standardized data is injected into a distributed message queue for parallel processing, dynamic cache partitions are created according to material object labels, timestamp indexes are built in the dynamic cache partitions, a sliding window mechanism is adopted to scan data, and multi-strategy resolution is performed on conflict data in a window; performing conjoint analysis on the cleaned data to generate an enhanced analysis report, and activating a case transfer learning mechanism to update a model when the similarity between new data and historical cases exceeds a threshold value; constructing a material state transfer matrix for the abnormal data, simulating a correction operation in a digital twin environment, and triggering automatic correction; the problems of multi-enterprise heterogeneous data integration, dynamic data processing, intelligent analysis and the like are solved, and the collaboration efficiency and the management level of a supply chain are improved.

The invention relates to the technical field of raw material management systems, in particular to a raw material management system for building engineering construction. The management system comprises a raw material information management module, a purchase management module, an inventory management module, a use management module, an optimization allocation module, a raw material quality evaluation module, an environmental impact evaluation and material selection module, a supply chain transparency module, a life cycle management module and a raw material demand prediction and inventory optimization module. An automatic purchase and supplier collaborative optimization module; the system uniformly manages data information of links of raw material purchasing, inventory, use and the like through a centralized data platform, forms a complete material management chain, avoids information dispersion and lag, realizes real-time sharing of data of each link, improves transparency of management and accuracy of decision making, and meanwhile, greatly improves management efficiency. The complexity and error rate of manual operation can be remarkably reduced through automatic purchase order generation, intelligent inventory management and supplier collaboration.

The invention discloses a material-based laser scanning system and method, and relates to the technical field of industrial automation, and the system comprises the following components: a laser scanning unit, an environment sensing sensor group, a dynamic compensation and calibration module, a feedback control unit and a visual monitoring interface. According to the invention, the environment change of a scanning site is monitored in real time through the integrated environment sensing sensor group, and the laser scanning data is processed in real time by using an advanced dynamic compensation and calibration algorithm, so that the measurement deviation caused by environmental factors such as vibration, temperature change and dust interference can be effectively reduced; the measurement precision of laser scanning in complex environments such as a coal yard is remarkably improved, meanwhile, the stability of long-term measurement is ensured by continuously optimizing and calibrating model parameters and automatically adjusting laser scanning parameters, and reliable data support is provided for material management.

The invention relates to the field of medical material management, and discloses a hospital material management server, which comprises a data collection module used for collecting material consumption data, the number of patients and operation plans of all departments from a hospital information system and an electronic medical record system, and transmitting the collected data to a prediction analysis module; the prediction analysis module is connected with the data collection module, and the invention also discloses a hospital material management method which comprises the following steps: S1, collecting material consumption data of each department from a hospital information system and an electronic medical record system through the data collection module; by using an adaptive neural network and a virtual twinning technology, accurate demand prediction, inventory dynamic adjustment, distribution optimization, global monitoring and environment simulation adjustment are realized; the interactive feedback module forms closed-loop optimization, the meta-universe cooperation module supports virtualization operation and training, and the defects of a traditional system in prediction, scheduling, monitoring and cooperation are overcome.

The invention discloses a warehouse safety management monitoring system, and the system achieves the comprehensive and real-time monitoring and intelligent management of the activities of materials and personnel in a warehouse through the introduction of a video monitoring module and an intelligent analysis module. The video monitoring module can automatically analyze real-time video streams through a high-definition camera and a computer vision technology, accurately recognize the types and moving paths of the materials, compare the actual state with records of the materials entering and exiting the automatic monitoring module, and find and mark abnormal conditions in time. According to the mode, errors and delay caused by manual operation are effectively reduced, and the accuracy and safety of warehouse material management are ensured. And the intelligent analysis module is used for predicting warehouse material demand change by utilizing an artificial intelligence algorithm through integrating data of each module, identifying potential safety hazards and generating optimization suggestions and decision support.

The invention relates to the technical field of material management, and discloses an infrastructure material cyclic application management and control system, which comprises the following modules: an intelligent material identification and real-time data acquisition module, which is used for carrying out automatic identification, classification and real-time data acquisition on infrastructure materials based on various sensor technologies (visual identification, RFID, laser scanning and NFC) and a deep learning algorithm, a digital material file is generated, and dynamic tracking and accurate positioning of materials are achieved; and the block chain-based full life cycle management module is used for carrying out data management and encrypted storage on the full life cycle (from purchasing, transportation, storage, use, maintenance, cyclic utilization to scrapping treatment) of the materials. Through close combination of a multi-mode sensor technology (visual identification, RFID, laser scanning and NFC) and a deep learning algorithm, all-directional and multi-dimensional identification and real-time data acquisition can be performed on capital construction materials in a complex and changeable environment.

The invention provides a power grid infrastructure project material collaborative management method, which comprises the following steps: analyzing historical material use, power grid construction progress and external environment data through a reinforcement learning algorithm, dynamically adjusting model parameters, and predicting material demands; a low-power-consumption wide area network and an edge computing technology are used for monitoring and analyzing material states in a warehouse and a transportation process in real time, and a result is transmitted to the central management system; based on the prediction data, an optimized material purchasing plan is automatically generated, and the purchasing strategy is dynamically adjusted by considering the arrival time, the inventory state and the supplier capability; using an improved ant colony algorithm to optimize the transportation route and time of the materials from the warehouse to the construction site; using an intelligent sensor to record the material use condition, and carrying out preliminary data processing and analysis through edge calculation; and an information management platform is established to realize information sharing and cooperative work. According to the method, the intelligence and efficiency of material management are improved by integrating multiple technologies.

The invention provides a page display method and device, electronic equipment and a storage medium, and relates to the field of artificial intelligence, in particular to the technical fields of man-machine interaction, intelligent search and the like. According to the specific implementation scheme, a material popularization management page is displayed; wherein a first label and a first label page are displayed on the material promotion management page; the first label is used for switching the page to the first label page; a material management list is displayed on the first label page, and material management information of at least one material associated with the client is displayed in the material management list; determining target promotion management information selected by the client from promotion management information in the material management information; generating a second label according to the target promotion management information, and generating a second label page according to material management information including the target promotion management information; wherein the second label is used for switching the page to a second label page; and simultaneously displaying the first label, the second label and the second label page in the material promotion management page.

The invention relates to the technical field of material management, and discloses a dynamic rule generation and self-adaptive auditing system and method for material management, and the system comprises a rule intelligent extraction module, a rule management knowledge base, an enhanced auditing engine, a man-machine cooperation calibration module and a self-adaptive execution module. The method comprises the steps of automatic rule extraction, rule storage and management, enhanced auditing and reasoning, man-machine collaborative calibration, knowledge base real-time optimization and adaptive routing execution. According to the method, the rule is automatically extracted from the unstructured document, the problem that a traditional system rule depends on manpower and is lagged in updating is solved, dynamic optimization of the rule and confidence is achieved by introducing a man-machine collaborative feedback closed loop, the accuracy and transparency of an audit decision are improved by enhancing reasoning and explainable decision technologies, and the audit efficiency is improved. And the optimal balance between auditing efficiency and risk control is realized through self-adaptive routing execution based on credibility.

The invention provides a material management intelligent warehouse space dynamic management method and system. Specifically, the method comprises the following steps: acquiring information of to-be-stored goods and materials and information of remaining shipping spaces; calculating the matching degree between the to-be-stored material and each remaining bin position, the space utilization rate of each remaining bin position and the operation convenience of each remaining bin position; corresponding weights are set for the matching degree, the space utilization rate and the operation convenience respectively, a shipping space scoring function is constructed, and the shipping space scoring function is the sum of the matching degree, the space utilization rate and the operation convenience; and the remaining bins are scored based on the bin scoring function, and the to-be-stored materials are stored in the bin with the highest score. According to the invention, through intelligent management, in combination with data analysis and dynamic optimization, efficient configuration of storage resources is realized.

The invention provides an integrated plan management method, system and device based on a supply chain plan engine and a medium, and the method comprises the steps: obtaining a data source, and determining material data and supply and demand data according to the data source; determining a top-layer material according to the material data, and determining a corresponding hierarchy number for each material based on a hierarchical relationship between the top-layer material and other materials; traversing the materials of each level according to the order of the level number, and screening the demand information of each material from the supply and demand data based on the unique identifier of each material; calculating a priority integral of the demand item of each material according to the demand information, wherein the priority integral is used for performing priority ranking on each demand item; and matching the corresponding supply information for each demand item in sequence according to the priority sequence, and carrying out supply and demand reduction operation to ensure that the material supply is matched with the production demand, thereby greatly improving the supply chain material management efficiency.

The invention relates to the technical field of project cost management, in particular to a hydraulic engineering construction cost control system and method, and the system comprises a material consumption analysis module, an inventory early warning calculation module, a dynamic inventory adjustment module, a replenishment trigger optimization module, and a consumption stability evaluation module. According to the method, the material consumption rate is dynamically monitored, the construction progress and engineering quantity are combined to measure and calculate data, a consumption trend curve is established, the actual use condition is compared, the consumption rate deviation is accurately quantified, real-time evaluation of material use is achieved, the number of supply days is calculated in combination with inventory data, the replenishment period is matched, and the replenishment time is dynamically adjusted; the inventory level is optimized, fund occupation is reduced, the stability is evaluated according to the consumption fluctuation range, the maximum consumption fluctuation value is calculated, the demand is adjusted in combination with replenishment, the inventory early warning threshold value is dynamically corrected, the supply chain breakage risk is reduced, the adaptability of construction material management is improved, and the cost control accuracy is improved.

The invention relates to the technical field of industrial production management and control, in particular to an automobile part production workshop intelligent management and control system which comprises a data acquisition module, a production management module, a quality management module, an equipment management module, a material management module and a security management module. An inventory and production capacity evaluation mechanism is introduced, the mechanism constructs a comprehensive evaluation model by integrating key parameters such as the delivery time, the order demand, the current inventory, the equipment number, the equipment availability rate, the equipment performance rate and the finished product percent of pass, and the production capacity is evaluated by comprehensively considering the equipment efficiency, the finished product quality and time factors. According to the refined evaluation method, the enterprise can more effectively predict and cope with production challenges, order delay caused by insufficient productivity or inventory shortage is avoided, in addition, the refined evaluation method further facilitates optimization of resource allocation, improvement of production efficiency and guarantee of high-quality production, meanwhile, the delivery date requirement of customers is met, and then the customer satisfaction degree and market competitiveness are enhanced.

The invention discloses a demand prediction method and system for aerial material spare parts, and relates to the field of aerial material management. The invention aims to provide the demand prediction system and method for the aerial material spare parts specially for the scene of demand prediction of the aerial material spare parts, the method is improved on the basis of the existing statistical analysis technology, the influence of various factors on the demand is considered in the demand change, the prediction deviation caused by human intervention is reduced, and the prediction accuracy is improved. Based on a time sequence method, a reasonable and effective classification mode and a scientific and accurate demand prediction method for different demand characteristic aviation materials are researched, a more accurate maintenance aviation material spare part consumption prediction model is obtained, an efficient prediction method suitable for aviation material management is provided, the purpose of reducing aviation material waste is achieved, and finally the reduction of aviation material cost is achieved. The method is of great significance to aviation material management and maintenance plan optimization of airline companies.

The invention relates to the technical field of engineering management, and discloses an engineering material management method and system, computer equipment and a storage medium. The method comprises the steps of determining a design bill of materials according to a building information model corresponding to a target project; compiling a construction progress plan according to the work decomposition structure corresponding to the target project; determining a material demand list corresponding to each work package in the construction progress plan; summarizing the material demand list and the time attribute corresponding to each work package to determine a summarized material list corresponding to the target project; determining a material management strategy according to the summarized bill of materials and a supplier database; executing the material management strategy; obtaining business process data generated in a strategy execution process; and adjusting a material management strategy according to the change condition of the supplier database and the business process data. According to the invention, the accuracy of material management can be improved, resource configuration is optimized, and real-time monitoring and adjustment are realized.

The invention discloses a real-time laser coal checking system and method, and relates to the technical field of material management and inventory checking, and the system comprises the following components: a laser detection module, a data processing module, a communication module, a monitoring module and a server module. The laser detection module is adopted to perform high-frequency scanning on the coal pile to obtain the three-dimensional point cloud data of the coal pile, the crown block displacement data measured by the laser range finder and the material and density information of the material pile are combined, the volume and weight of the coal pile are calculated through an algorithm, the outer contour of the coal pile can be determined more accurately, and the accuracy of the coal pile is improved. According to the shape characteristics and the density distribution condition of the coal pile, the coal pile is divided into a plurality of small geometries for volume calculation, and compared with traditional manual measurement or simple geometric shape approximation, the method has the advantages that the measurement precision of the volume and the weight of the coal pile can be remarkably improved; and more accurate data support is provided for material management and inventory checking of enterprises.

A tower drum and communication base station fusion management and control system based on data analysis belongs to the field of wind power generation and comprises a BIM design management platform, a construction management platform and an operation management platform. The BIM design management platform comprises a facility layout integrated planning module, a fusion design optimization analysis module, a wind power generation tower modeling module and a communication base station modeling module. The construction management platform comprises a safety management module, a material management module, a quality management module and a progress management module. The operation management platform comprises a data acquisition module, a data processing analysis module, a prediction analysis module and an operation management module. Through the BIM technology, integration of the tower drum and the communication base station in the design stage is achieved, the structural design and function requirements are optimized, the construction and maintenance cost is reduced, and the quality of wind power generation and communication service is improved.

The invention belongs to the technical field of medical material management, and particularly relates to a medical material intelligent supply chain management scheme and system based on multi-modal AI. According to the invention, through multi-modal data fusion, full-life-cycle and full-link tracking of materials is realized, information islands are eliminated, management transparency is improved, unexpected consumption and physical damage risks are identified in an early stage, a large amount of overstock or clinical supply interruption is avoided, operation cost is reduced, and based on a dynamic loss threshold, replenishment and cross-warehouse allocation can be realized just in need. The inventory turnover rate and the supply guarantee rate are considered, environment monitoring and validity period information are processed, it is ensured that temperature and humidity sensitive materials are stored under the optimal condition, losses caused by expiration or environment abnormity are reduced, the waste rate and the excessive stockpiling risk are comprehensively reduced, meanwhile, timely availability of key materials is clinically guaranteed, and the service life of the materials is prolonged. And the economic benefit and safety of the medical material supply chain are improved.

The invention provides an electric power material warehouse-in and warehouse-out intelligent management and control method and device based on intelligent carrying, and relates to the field of electric power material management.The method comprises the steps that real-time data in a warehouse are collected through Internet of Things equipment and a sensor, and the real-time data are collected according to the collected real-time data; performing real-time calculation on an advancing path of the intelligent carrying equipment in the warehouse by utilizing dynamic path optimization, and adjusting the advancing path of the equipment according to the real-time environment data, the material storage position data and the carrying task demand data; the intelligent carrying equipment carries out advancing path planning when carrying tasks are carried out in the warehouse, and according to an error correction mechanism, errors in the material warehouse-in and warehouse-out process are corrected; the material demand is dynamically predicted according to the historical inventory data and the external demand data by using the established global task scheduling prediction model, and the priority ranking of the tasks in the warehouse and the dynamic scheduling of the inventory are performed, so that the automatic and intelligent management of the warehouse-in and warehouse-out of the materials is realized, and the material management efficiency is improved.

The invention provides a packaging material intelligent selection method and system based on multi-dimensional data analysis, and relates to the field of material management. Vibration, deformation and temperature and humidity data are collected in real time through an environment sensing module to construct a feature matrix; the data analysis module fuses the historical case library and the logistics task duration to predict the material life, and associates the supply chain inventory to generate residual life evaluation; the decision engine module dynamically distributes cost, safety and environmental protection weights, and combines the supplier credit score to generate a multi-level decision scheme; the execution control module verifies the dimensional tolerance of the material and drives replacement operation, and model calibration is triggered through a 5% deviation threshold value; a humidity sensitive material grading standard and a deformation safety limit value are built in the system, and when the temperature and humidity sudden change exceeds the threshold value, deformation quantity prediction and emergency scheme reconstruction are started; a three-level self-optimization mechanism of environmental perception error, material life error and execution error is established, and closed-loop optimization is realized through sensor calibration, supplier credit recalculation and dynamic adjustment of control parameters.

The invention relates to the technical field of sectional material excess material management, and discloses a sectional material excess material management method and device and electronic equipment, and the method comprises the following steps: S1, setting a minimum available length threshold value of excess materials, which is used for judging whether the minimum available length threshold value is included in an excess material management process or not; s2, the excess materials generated by cutting are recognized, information including the color, the length, the surface state and the profile structure attribute is obtained, and a unique identifier is generated for each section of excess materials; s3, storing the excess material information meeting the conditions into an excess material management database, and associating storage position information of the excess material management database; and S4, after a new order request is received, screening matched excess materials in the excess material database according to an order demand to form a candidate set. According to the method, a structural management technical scheme based on geometric contour reconstruction and matching of the excess materials is adopted, and the identifiability, traceability and reutilization of the excess materials in the machining process are achieved. The technical effects of intelligent classification and efficient scheduling of the processing residual materials are achieved.

The invention discloses a butt joint conveying structure and a three-dimensional printing material management system. The butt joint conveying structure comprises a container, a rotating part and a butt joint assembly. The container is provided with a containing cavity and a butt joint part with a receiving hole, the rotating piece is provided with a first butt joint hole and a first matching part, and the rotating piece rotates between a first position and a second position around a rotating axis relative to the butt joint part and is limited by the butt joint part in the direction of the rotating axis; the butt-joint assembly is provided with a conveying channel used for conveying materials and a second matching part which is connected with the first matching part in an inserted mode and forms rotation stopping matching, so that the butt-joint assembly drives the rotating piece to rotate, and when the rotating piece rotates to the first position, the rotating piece shields the receiving hole, and when the rotating piece rotates to the second position, the receiving hole shields the receiving hole. The conveying channel communicates with the containing cavity through the first butt joint hole and the receiving hole. The three-dimensional printing material management system comprises the butt joint conveying structure. By adopting the technical scheme, the phenomenon that the receiving hole cannot be tightly changed due to falling deformation of the top cover can be avoided.

The invention relates to a platform-based intelligent manufacturing MES system, and the system comprises a plan management module which is used for generating a production plan; the planning and scheduling module decomposes the production plan into specific operation tasks and generates an operation plan scheduling instruction; the document management module is responsible for managing and maintaining various documents involved in the production process; the operation management module converts an operation plan scheduling instruction of the planning and scheduling module into a specific production operation instruction; the automatic acquisition module acquires data of production equipment in real time and transmits the data to the plan management module in real time; the operation information module sends a control instruction to the automatic acquisition module, automatically acquires equipment working information, and feeds back the equipment working information acquired by the automatic acquisition module to the plan management module; and the material management module performs data interaction with the planning and scheduling module. Intelligent, automatic and fine management of the production process can be realized, and the system has important significance for improving the competitiveness of lithium battery copper foil production enterprises.

The invention relates to the technical field of elevator wallboard production, in particular to an elevator wallboard complete production line and a production method. The production line comprises an MES system, a material management module, a plate positioning and shearing module, a plate temporary storage module, a punching and bending module, a quality detecting and gluing module, a plate assembling and welding module and a finished product outputting and boxing module from front to back according to the production sequence, and the plate buffer library is provided with at least one replaceable buffer library arrangement scheme. The plurality of manipulators are connected among the modules; and the central control system is used for overall scheduling, monitoring the production process and adjusting the working parameters of the modules according to production requirements. The technical problems of low production efficiency, low material utilization rate, improper excess material treatment and the like in the prior art can be solved.

The invention provides a risk monitoring method and system based on power grid material supply chain operation. The supply chain management efficiency is remarkably improved through an intelligent risk identification process. The method comprises the following steps: firstly, acquiring power grid material consumption data from a historical database, and calculating the consumption speed and consumption of various materials according to a bill of materials; and key monitoring materials are screened out through the preset consumption monitoring threshold value, so that tedious data processing on all the materials is avoided. And for the screened monitored materials, the system further collects storage, production and logistics data of the screened monitored materials, and evaluates the risk degree by using a pre-trained supply chain risk identification model. And when the material supply chain risk degree exceeds a preset threshold value, defining the material as a supply risk material. The accurate risk monitoring method not only reduces the calculation overhead of data processing, but also can identify potential supply chain risks in time, and provides a more efficient and intelligent solution for power grid material management.

The invention discloses an integrated intelligent production management and control system which comprises a basic data management module, a product process quality management module, a production management module, a material management module, an inspection management module, a quality management module, an equipment management module, an energy management module and a safety management module. The invention relates to the technical field of production management, and discloses an integrated intelligent production management and control system, which carries out custom configuration on various basic data through a basic data management module, and guarantees data exchange and sharing; the product process quality management module runs through the whole crystal production process, improves the production efficiency and the management level, forms a knowledge base and provides scientific data support; the production management module establishes a production management system integrating multiple functions, and the field cooperation and management and control capability is improved; and the material management module realizes full-process material management and control and mobile visual tracking.

The invention discloses a material management interface optimization system and method. The system comprises an optimization demand determination module and a management interface optimization module. Wherein the optimization demand determination module is used for acquiring interaction data between a target object and a material management system, and determining an interface optimization demand corresponding to the target object according to the interaction data; the management interface optimization module is used for determining a target element generation model according to the interface optimization requirement and generating an interface element corresponding to the interface optimization requirement according to the target element generation model, and the element generation model is a neural network model which is obtained through pre-training and corresponds to the element type of the interface element. According to the embodiment of the invention, the specific optimization demand is determined by analyzing the interaction data of the target object, the corresponding element generation model is determined according to the optimization demand, and the interface element is determined according to the element generation model, so that the optimization efficiency of the interface element is improved, and the personalized demand of a user on the interface element can be met.

The invention provides a catenary engineering material processing system based on intelligent identification. The catenary engineering material processing system comprises a catenary plane graph identification module, a catenary plane data analysis module and a material management module, the contact network plane graph identification module is used for carrying out plane data identification processing on the contact network plane graph of the target unit project based on a reading path between the preset starting point coordinate and the preset ending point coordinate to obtain contact network pillar representation data; the contact network pillar representation data is used for describing different types of pillar data included in a contact network plane graph of the target unit project; the overhead line system plane data analysis module is used for carrying out strut category analysis on the overhead line system strut representation data to obtain target material data corresponding to an overhead line system plane graph of a target unit project; and the material management module is used for generating material processing information based on the target material data. Therefore, the processing efficiency is improved while the error rate is effectively reduced, and the problem of material waste of the overhead line system is solved.

The invention discloses a highway engineering construction remote material abnormity management method, which relates to the technical field of material management, and comprises the following steps: collecting material information parameters for analysis, obtaining an analysis result and carrying out abnormity identification, outputting an abnormity identification result, triggering a response mechanism for the abnormity identification result, and carrying out automatic early warning. By constructing a full-process digital highway engineering construction remote material anomaly management system, the problems of multiple types of traditional management are solved, multi-source data are integrated to automatically correct errors and generate accurate data, and the material anomaly management system is established by means of space-time dimension cross validation and construction process compliance analysis. A preset abnormal feature combination library is combined to capture a composite risk, a hierarchical response and a mapping table are adopted to realize differential early warning, responsibility is clarified through receiving verification and block chain evidence storage, and a closed loop is formed by combining treatment with template optimization and dual verification, so that the risk is reduced, and the management intelligence and refinement level is improved.

The invention relates to a material management method and device, computer equipment, a storage medium and a computer program product. Relates to the technical field of data processing. The method comprises the steps of training based on a historical data set of a to-be-managed warehouse to obtain a material management model; the historical data set comprises at least two groups of historical material demand prediction results and historical inventory costs corresponding to the historical material demand prediction results; the objective function of the material management model is the minimum value of the historical inventory cost; obtaining a current material demand prediction result and a current inventory cost of the to-be-managed warehouse; the current material demand prediction result and the current inventory cost are input to a material management model, an output target inventory strategy is obtained, and the target inventory strategy is used for material management of the to-be-managed warehouse; the target inventory strategy comprises an ordering point, an ordering batch and a material quantity threshold value of the next ordering period corresponding to each material. By adopting the method, the management efficiency of the material inventory can be improved.