632 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 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 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 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 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 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 the technical field of material management, in particular to a material counting method and system based on RFID and full life cycle management, and the method comprises the steps: collecting employee data, tool basic information data and image information; verifying the in-warehouse and out-warehouse tools, and recording in-warehouse and out-warehouse information at the same time; when the tools and instruments are delivered out of the warehouse, analyzing the tools and instruments required by the task according to the information of the taking personnel and the task data; and based on full-life-cycle management, using the prediction maintenance model in combination with the use data analysis of the tools and instruments to predict the maintenance requirements and time points of the tools and instruments. According to the invention, fine management of employees and tools is realized, the working efficiency and the safety are improved, the maintenance cost is reduced, and the beneficial effects of improving the operation efficiency and the management level of enterprises are achieved.

The invention provides an intelligent workshop material dynamic pulling control method, system and device, and relates to the technical field of intelligent manufacturing, and the method comprises the steps: firstly, obtaining a basic inventory buffer capacity, an equipment topological graph, production scheduling characteristics, real-time production data and a material warehousing rate of an intelligent workshop; time sequence production features, equipment topological features and production scheduling features are extracted in combination with a multi-modal prediction model, the predicted material consumption rate is output, and the prediction precision is improved; secondly, a real-time inventory water level and a dynamic replenishment threshold value are calculated in combination with a prediction result and equipment operation parameters, production fluctuation and equipment fault risks are dynamically adapted, and inventory overstock or material interruption shutdown caused by a traditional static water level is avoided; and finally, if the real-time stock water level is lower than the dynamic replenishment threshold value, according to the material transportation parameters, constructing a minimum delay path objective function, generating an optimal path, and controlling the automated guided vehicle to execute replenishment, so that timely replenishment is ensured, the stock turnover rate is improved, and the lean level of workshop material management is improved.

A metering equipment warehouse division demand prediction and scheduling method based on spatio-temporal feature fusion comprises the steps of firstly obtaining and collecting warehouse division data, then establishing a spatio-temporal feature fusion model based on the warehouse division data, and then establishing a spatio-temporal diagram convolution prediction network, the spatio-temporal diagram convolution comprises a diagram convolution layer and a time convolution layer, through extraction and fusion of the two layered features, dynamic weight fusion is obtained, joint modeling of space-time dynamics is realized, and finally, prediction and allocation decision are implemented based on the dynamic weight fusion. According to the method, the multi-modal graph structure fusing the space-time association and the replacement rule is constructed, and a space-time joint modeling architecture and a dynamic feedback mechanism are designed, so that high-precision demand prediction and global inventory optimization are realized; the method systematically solves the core problems of insufficient spatial correlation modeling, dynamic event response lagging, low efficiency in multi-source data utilization and the like of a traditional method, and provides an efficient solution for electric power material management.

The invention provides an automatic material identification and matching method and system for a three-dimensional model and a medium, and relates to the technical field of material management, and the method comprises the steps: constructing a standardized material database, and extracting and standardizing material attribute information; analyzing first material description information in the three-dimensional software model by utilizing an SQL (Structured Query Language), and matching the first material description information with the material attribute information to obtain a first material matching result; extracting second material description information in the project material document by using VBA programming, and matching the second material description information with the material attribute information to obtain a second material matching result; and data integration is carried out through PowerBI, and a project material state visual billboard is constructed. The technical problems that in the prior art, a unified standardized material database is lacked, material description formats in different sources are inconsistent, expression is not standard, a construction material list cannot be accurately generated, and informatization and intellectualization of project material management are limited are solved.

The invention belongs to the technical field of material management, and discloses a management method and device based on material product matching and automatic generation, equipment and a storage medium. The method comprises the following steps: carrying out AI semantic analysis on a material product description of a heterogeneous source, and extracting key parameters of a product; constructing a dynamic product feature matrix based on the key parameters of the product, and performing multi-level matching by using the dynamic product feature matrix and a supply database to obtain a plurality of candidate product matching schemes; determining a target product matching scheme from the plurality of candidate product matching schemes according to a semantic similarity threshold; performing parameter specification alignment processing on the target product matching scheme through a parameter mapping engine; and based on the processed target product matching scheme, establishing a target mapping relationship between the materials and the products, and managing the materials and the products by using the mapping relationship. By means of the method, the mapping relation can be dynamically updated in real time, and meanwhile the accuracy can be improved by means of the constructed mapping relation.

The invention discloses a purchase demand prediction method combined with PMC material management and control, and belongs to the technical field of material management and control data processing, and the method comprises the steps: obtaining a material consumption sequence and corresponding timestamp data, and employing a time sequence decomposition method to separate trend components and seasonal components, and obtaining a consumption rule feature sequence; if the fluctuation amplitude of the consumption rule feature sequence exceeds a preset threshold value, determining the consumption rule feature sequence as a basic demand predicted value sequence; obtaining a market price index sequence, and calculating a correlation coefficient between the basic demand predicted value sequence and the market price index sequence; if the absolute value exceeds a set threshold value, updating a basic demand predicted value sequence through a time sequence model; generating a purchase plan sequence according to the basic demand predicted value sequence and the inventory average value; and generating a final output report. The invention discloses a problem that a current material management and control mode cannot capture key changes in time and is difficult to balance contradictions between inventory and production.

The invention belongs to the technical field of data processing, and particularly discloses a warehouse material management method and system based on an intelligent inspection robot, and the method comprises the steps: collecting environment monitoring data through a data collection device, enabling the environment monitoring data to comprise temperature and humidity information, smoke concentration and an image sequence, and obtaining an original multi-mode signal set; a deep learning model is adopted to extract feature vectors according to the original multi-modal signal set, and multi-dimensional feature representation is obtained and used for subsequent fusion processing; performing priority ranking on anomaly detection from the multi-dimensional feature representation, and determining a high-risk signal subset to identify potential hazards; if the high-risk signal subset meets a triggering condition, image sequence analysis is carried out; the invention aims to solve the problems of complexity of multi-source data and inaccurate real-time identification of abnormal events in environmental monitoring.

The invention discloses a building material planning management system based on a BIM technology, and relates to the technical field of BIM, and the system comprises the steps: a data collection module collects the full-process multi-source data of materials from purchasing to using; the unified coding module distributes a unique electronic identification code containing a category, a supplier and a full-process traceability index to each building material; the data storage and processing module cleans and converts the data and forms a standardized full-life-cycle database; the BIM integration module establishes one-to-one correspondence between material entities and BIM model components through electronic identification codes, and full-process data tracing calling and circulation state visualization are achieved; the interaction module provides a multi-terminal interface to support cooperation of multiple participants. According to the invention, the problems of information isolated island and traceability fault of traditional material management are solved, the management and control efficiency and collaboration are improved, and cost reduction and benefit increase of the construction project are facilitated.

The automatic three-dimensional warehouse warehousing system comprises a warehousing workshop and a warehousing management control system covering the warehousing workshop, and an automatic three-dimensional warehouse, a first-layer warehousing area, a second-layer warehousing area and a material transportation system are arranged in the warehousing workshop; the warehouse management control system comprises a warehouse management system WMS and a warehouse control system WCS, the warehouse management system WMS comprises a material management system SAP for butt joint, and the warehouse control system WCS comprises an AGV scheduling system; according to the automatic three-dimensional warehouse warehousing system, the positions of all the areas are reasonably divided, the whole process of the incoming material unloading area, the unpacking and tray changing area, the material inspection area, the material to-be-inspected area, the warehousing area, the warehouse-out sorting area and the batching cache area is communicated through the AGV, flexible connection of the whole transfer line is achieved, the continuity and accuracy of the operation procedure are improved, and the working efficiency is improved. Automatic carrying and transportation of materials are achieved, the production efficiency is improved, and the labor cost is reduced.

The invention discloses an intelligent material cabinet and a safe and accurate material distribution method. The intelligent material cabinet further comprises an anti-theft unit, a material recognition unit and a safety interlocking mechanism on the basis of a conventional cabinet body. The anti-theft unit seals a blue opening by arranging a long turning plate and a short turning plate at the blue opening of a lifting blue and is linked with a material taking turning plate of a material taking opening; the material identification unit is provided with an intelligent camera, a wide-angle camera and a pressure sensor for detecting material information; the safety interlocking mechanism is provided with a limiting switch, an electronic bolt door lock and a material taking indicator lamp, and limiting of the lifting basket, locking of a material taking opening material taking turning plate and material taking prompting are achieved. According to the method, safe and accurate material distribution is achieved through material management, material identification and safety linkage. According to the material cabinet and the method, the defects of traditional material warehouse management are overcome, the accuracy of material distribution and the anomaly detection processing capacity are improved, the vulnerability of theft is eradicated, the safety of material extraction operation is ensured, and then the adaptability, automation and intelligence of material warehouse management are improved.

The invention discloses an intelligent distribution system for welding material management and an operation method thereof, and relates to the technical field of welding material pretreatment equipment, and the intelligent distribution system structurally comprises a drying box, a feeding device and a material taking distribution device. A plurality of layers of sliding frames are arranged in the drying box, and material frames are arranged on the sliding frames and can slide out from one side. The feeding device comprises a transferring mechanism and a feeding table, and the transferring mechanism is used for transferring the material frame between the drying box and the feeding table. The material taking and distributing device comprises a mechanical arm and a grabbing mechanism and is used for grabbing and transferring the welding materials in the drying box. The operation method comprises the steps that 1, empty material frames in the drying box are taken out through the transferring mechanism and placed on the workpiece feeding table; 2, a welding material is supplemented into the material frame; 3, taking down the filled material frame through a transferring mechanism, and feeding the material frame into a drying box for drying; and 4, the welding materials are grabbed from the drying box through a material taking and distributing device and put in. By applying the scheme, the technical problems that in the prior art, the working intensity of workers is large, the environment is poor, and whole-process automation is difficult to achieve can be solved.

The invention discloses a global material intelligent management and control analysis platform based on multi-professional link data, relates to the technical field of material management, and solves the technical problems of insufficient consumption abnormality judgment accuracy and delayed inventory early warning and supply decision. According to the method, a weighted initial threshold model of historical data and business quota is innovatively constructed, a differential statistical method is adopted for periodic and non-periodic materials, meanwhile, a real-time influence factor is introduced, and a threshold is dynamically corrected through a weighting algorithm, so that the threshold can accurately adapt to business scene change, and the service scene change is accurately matched with the business scene change. The method effectively reduces the abnormal misjudgment rate and the missed judgment rate, achieves the precise monitoring of the consumption state, achieves the precise calculation of the basic remaining time, the scene-based remaining time and the safety buffer time through the scene-based consumption speed model and stock effective value measurement and calculation, achieves the scientific evaluation of the stock sufficiency through the combination with a preset threshold value, generates a purchase signal in advance, and improves the purchase efficiency. And the risks of stock overstock and material shortage are avoided.

The invention discloses a multi-intelligent-vehicle material collaborative distribution method and system, and the method comprises the steps: enabling task management equipment to respond to an emergency task distribution request, obtaining a distribution task set and task information based on the emergency task distribution request, and transmitting the task information to material management equipment and all intelligent vehicles, the method comprises the steps of constructing a task matching graph based on material configuration information, task information and a task matching degree, obtaining to-be-distributed task nodes and available vehicle nodes in the task matching graph, performing node splitting on the to-be-distributed task nodes to obtain a plurality of sub-task nodes, constructing a task matching matrix based on the sub-task nodes and the available vehicle nodes, and performing task matching on the sub-task nodes and the available vehicle nodes. And determining an emergency task distribution strategy based on the task matching matrix, and sending the emergency task distribution strategy to each intelligent vehicle, so that each intelligent vehicle carries out emergency material distribution based on the emergency task distribution strategy, thereby realizing accurate distribution of tasks, improving cooperative distribution capability of the intelligent vehicles, and ensuring timeliness of material distribution.

The invention discloses an electric power material library supplementing method and system, and the method comprises the steps: carrying out the characteristic analysis of electric power materials based on basic data, obtaining material characteristics, determining the index factors of the electric power materials based on the basic data, carrying out the clustering analysis of the electric power materials according to the index factors, and obtaining material types; determining an inventory management strategy of electric power materials according to the material category, constructing a project description word vector and a project material feature vector of a power grid project based on the basic data, performing clustering analysis on the power grid project according to the project description word vector and the project material feature vector to obtain a project type, and determining a demand prediction model corresponding to the project type according to the material feature; and on the basis of the material characteristics, the project description word vectors and the project material characteristic vectors, the demand prediction model is used for carrying out demand prediction on the electric power materials, and an intelligent library supplementing strategy of the electric power materials is determined on the basis of an inventory management strategy and a demand prediction value, so that the scientificity, responsiveness and intelligent level of material management are improved.

The invention provides a global linkage rail transit protection area management system and an emergency resource scheduling method, and belongs to the technical field of rail protection area maintenance, and the system comprises a project data management module which is used for project approval, information viewing and historical data viewing; the construction monitoring management module is used for recording, displaying, analyzing and early warning the monitoring data; the patrol item management module is used for automatically planning patrol routes, distributing patrol tasks on line, uploading patrol records in real time, systematically storing patrol data and managing illegal and illegal projects; the material management scheduling module is used for tracking and managing the total inventory and material consumption in the operation and maintenance management process, and generating an emergency resource scheduling scheme; and the mobile terminal application module is used for enabling patrol personnel to feed back on-site project information to each module in time, and enabling management personnel to make judgment and decision on project safety according to the feedback information. The safety management efficiency of the rail transit protection area is improved.

The invention discloses a delivery management method and device based on raw materials, equipment and a medium, and relates to the technical field of material management, and the method comprises the steps: obtaining a supplier stock when a delivery list of a supplier is received, and the supplier stock is obtained after the supplier receives the raw materials from a cargo delivery system; according to the delivery list and the BOM information of the goods, whether the supplier inventory meets the raw material consumption information corresponding to the number of the goods delivered in the delivery list or not is judged, if yes, the supplier is allowed to deliver the goods on schedule, and the supplier inventory is updated; and if not, checking whether the raw material stock in the cargo delivery system meets the raw material consumption information corresponding to the delivery list, and if the raw material stock in the cargo delivery system meets the raw material consumption information corresponding to the delivery list, performing delivery assessment on the supplier. According to the method, errors of manual operation are reduced, problem sources are automatically checked, responsibility determination is carried out, supplier assessment is carried out in time, and potential risks such as raw material reselling or package transferring are avoided.

The invention discloses a material tracing and management method in an enameled wire production process, which belongs to the technical field of enameled wire production management and comprises the following steps: acquiring a dynamic consumption data set of a production line; dividing the dynamic consumption data set according to the material types to obtain grouped material consumption data; performing sliding window analysis on the grouped material consumption data according to the timestamps to obtain a minute-level consumption rate sequence; generating a data set with an abnormal mark and a normal mark according to the abnormal score of the minute-level consumption rate sequence; performing association mapping on the minute-level consumption rate sequence with the abnormal mark and the production batch number to generate a batch consumption association table; and raw material consumption records are extracted from the batch consumption association table, and a traceability chain data set is constructed. According to the material tracing and management method in the enameled wire production process, the problems that material consumption data and production batches are difficult to correspond to each other and full-flow tracing from raw materials to finished products cannot be realized in a material management mode in the enameled wire production at present are solved.

The invention relates to the field of distribution network industry material management, in particular to a distribution network industry expansion engineering material use data accurate tracking management method, which is deeply connected with an enterprise internal ERP system, construction cost structured data and a data medium table, constructs a distributed material management account book based on a block chain technology, realizes real-time query of material information and improves working efficiency. A recurrent neural network is utilized, a first supply material demand prediction model is established in combination with multi-source data, the material demand of each construction stage is accurately predicted, and resource allocation is optimized. Through coding material and project information, making a material distribution plan and approval record, establishing a two-way tracing mechanism and combining the Internet of Things technology to track materials in real time, the standardization and safety of material management are guaranteed. Meanwhile, materials are checked regularly, and the reporting process is standardized. The method effectively solves the problems of difficult material information query, inaccurate demand estimation and difficult data tracing, promotes continuous improvement and optimization of enterprise material management, and has significant economic benefits and management values.

The invention discloses a material warehouse-in and warehouse-out management method, and relates to the technical field of material management, and the method comprises the steps: obtaining goods shelf two-dimensional code information on a goods shelf through a scanning gun, and carrying out the blue display of a preset signal lamp; acquiring dial plate two-dimensional code information on the packaging plate by using a scanning gun, placing the packaging plate at a blue lamp vacancy on a goods shelf, and extracting blue lamp position information of the blue lamp vacancy; binding the position information of the blue lamp with the two-dimensional code information of the dial plate, and storing the information in a preset storage system; obtaining production material information, and sending the production material information to a worker to take a target material; if the target material information is wrong, a target storage position corresponding to the target material is red, and a sound alarm is given; and turning off the red light and the sound alarm, performing secondary scanning on the goods shelf two-dimensional code information and the dial plate two-dimensional code information by using the scanning gun, and putting the target material back to the goods shelf. The method has the effects of reducing the management difficulty and disorder degree of the warehouse materials and improving the safety of the warehouse materials.

The embodiment of the invention provides a power station material management method, device and equipment based on intelligent storage, relates to the technical field of computers, is suitable for a power station material management system, and comprises the steps: employing multi-dimensional real-time monitoring data to generate a monitoring data set; the multi-dimensional real-time monitoring data comprises time parameter data, behavior information data and material information data, the time parameter data represents a time response parameter generated in system operation, and the behavior information data represents the authority level of a post role of a user and the use condition of the system; the material information data represents access control strength of different categories of materials in the system, a dynamic permission model is adopted to perform permission allocation calculation on the monitoring data set, permission allocation parameters are generated in combination with environmental fluctuation parameters, and the permission allocation parameters are adopted to update a permission allocation mechanism in the power station material management system; and managing power station materials based on the updated authority distribution mechanism in the system. The flexibility, the accuracy, the response speed, the safety and the like of the system are improved.

The invention relates to the technical field of computers, provides a medical automation management scheme, and particularly relates to a medical material management system and a material management method. According to the embodiment provided by the invention, the medical material management system from front to back is established based on the SPD system, and system-level linkage of scene application and material management is realized. Through a material management method configured in the system, the input text information can be updated and enhanced to improve the information expression degree by adopting a natural language processing technology, and a corresponding query statement is determined according to semantic features of the text information and a configured vector database; the query statement is updated and supplemented through the dictionary item set in the system, so that the generated SQL query statement is more complete and accurate, the medical material management level is improved, and a user can quickly and conveniently use different businesses.

The invention discloses a power distribution network material cost dynamic calculation system construction method based on multi-dimensional sensitivity analysis. The method comprises the following steps: fusing multi-source heterogeneous data and standardizing business characteristics; carrying out single-factor sensitivity modeling based on dynamic demand elasticity; performing multi-factor coupling sensitivity analysis; constructing a dynamic cost calculation system; and performing economic influence prediction and dynamic verification. According to the method, the problem that a traditional method is insufficient in processing complex multi-source data and coping with market dynamic changes is solved, accurate cost prediction and intelligent decision support are achieved, and the efficiency and economic benefits of power distribution network material management are improved.