Raw material management system for building engineering construction

Abstract

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.

Description

Technical Field

[0001] The present invention relates to the technical field of raw material management systems, and in particular to a raw material management system for construction engineering. Background Art

[0002] In modern construction projects, the management of raw materials is one of the key factors affecting the progress, quality and cost of the project. There are many kinds of raw materials required for construction projects, including structural materials, decoration materials, waterproof materials, electrical materials, etc. These materials are not only diverse in type, but also have a strong complexity in the order of use, consumption and delivery time in construction, making the management of construction raw materials an important challenge in project execution.

[0003] Traditional construction material management methods usually rely on manual operation and experience judgment. Manual records, paper orders and decentralized supplier communication still occupy an important position in the construction industry. However, with the increasing scale and complexity of construction projects, the limitations of this traditional management method have become increasingly prominent, and it is difficult to meet the current needs of efficient and accurate construction. The existing construction material management system often has defects such as data non-centralization, information dispersion, low manual operation efficiency, prone to errors, lack of dynamic prediction and automated decision-making capabilities, poor supply chain collaboration, and insufficient consideration of environmental and external factors. There are significant deficiencies in data concentration, dynamic prediction, supply chain collaboration and intelligent decision-making. Summary of the invention

[0004] The purpose of the present invention is to provide a material management system for construction engineering to solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a raw material management system for construction engineering, the management system comprising a raw material information management module, a procurement management module, an inventory management module, a usage management module, an optimization and allocation module, a raw material quality assessment module, an environmental impact assessment and material selection module, a supply chain transparency module, a life cycle management module, a raw material demand forecasting and inventory optimization module, and an automatic procurement and supplier collaborative optimization module;

[0006] The raw material information management module is used to store and manage the basic information of all building materials;

[0007] The procurement management module is used to manage the procurement process of raw materials, including but not limited to generating procurement plans, supplier selection, order management, and contract signing;

[0008] The inventory management module is used to manage the inbound, outbound and inventory status of construction materials, update inventory information in real time, and provide inventory warnings;

[0009] The usage management module is used to record and track the usage of raw materials at the construction site, including but not limited to the information on the consumption, transfer and return of raw materials;

[0010] The optimization and allocation module predicts future raw material demand through machine learning algorithms and dynamically optimizes raw material scheduling based on construction progress, external environment and project plan;

[0011] The raw material quality assessment module is used to integrate supplier data, quality inspection data, and on-site inspection data to comprehensively assess the quality of raw materials, and continuously monitor the performance of raw materials during use, and issue timely warnings when problems are found;

[0012] The environmental impact assessment and material selection module is used to assess the environmental impact of different building materials and automatically recommend green and environmentally friendly materials;

[0013] The supply chain transparency module is used to track the procurement and transportation process of raw materials;

[0014] The life cycle management module is used to manage the entire life cycle of raw materials, tracking the entire process from procurement, transportation, inventory to use;

[0015] The raw material demand forecasting and inventory optimization module can predict future raw material demand and automatically optimize inventory strategies based on historical usage data and project progress;

[0016] The automatic procurement and supplier collaborative optimization module can automatically generate purchase orders based on the raw material demand predicted by the system and conduct collaborative optimization with suppliers.

[0017] Preferably, the basic information stored and managed by the raw material information management module includes name, specification, unit, supplier, purchase record, warehousing time, and inventory quantity. The usage of this module is material information entry, material information maintenance and update, material query and retrieval, material life cycle tracking, data visualization and report generation.

[0018] Preferably, the working methods of the procurement management module are procurement demand generation, supplier selection and price comparison, procurement order management, procurement delivery tracking and management, data analysis and report generation.

[0019] Preferably, the inventory management module can perform material inbound management, material outbound management, inventory counting and adjustment, inventory warning and reminder, and the automatic operation method of inventory counting and adjustment includes the following steps:

[0020] S1, set the inventory frequency, and the system automatically triggers the inventory task according to the plan;

[0021] S2, scans the labels of all materials in the warehouse through IoT devices and compares them with the inventory data in the system;

[0022] S3, the system generates an inventory count report, lists the inventory discrepancies, and marks the materials that require attention;

[0023] S4. The manager adjusts the inventory records in the system based on the inventory results and records and archives the reasons for the differences.

[0024] Preferably, the deployment method of the optimization deployment module is data collection and analysis, optimization algorithm and deployment strategy, deployment plan implementation and feedback, cost control and efficiency evaluation, and intelligent decision support.

[0025] Preferably, the evaluation method of the raw material quality evaluation module is data source integration, quality evaluation model construction, quality risk analysis and early warning, quality improvement feedback, user interface display and report generation.

[0026] Preferably, the supply chain transparency module includes a blockchain infrastructure, a data recording and tracking sub-module, a participant identity authentication and authority management sub-module, a quality monitoring and compliance verification sub-module, and a user interface and report generation sub-module.

[0027] Preferably, the raw material life cycle management module is capable of performing raw material procurement management, raw material usage management, raw material maintenance and care management, raw material disposal management, data analysis and decision support.

[0028] Preferably, the working method of the raw material demand forecasting and inventory optimization module is data collection and preparation, demand forecasting model construction, inventory optimization strategy generation, self-learning and model optimization, providing a visual interface and generating reports.

[0029] Preferably, the automatic procurement and supplier collaborative optimization module is used for intelligent procurement process design, supplier management and evaluation, supply chain collaboration and information sharing, intelligent decision support, risk management and establishment of emergency mechanism, generation of visual data and generation of regular reports.

[0030] Compared with the prior art, the present invention has the following beneficial effects:

[0031] 1. The system uses a centralized data platform to unify the data information of raw material procurement, inventory, use and other links, forming a complete material management chain, avoiding information dispersion and lag, and sharing data in each link in real time, improving management transparency and decision-making accuracy. At the same time, it can significantly reduce the complexity and error rate of manual operations through automatic generation of purchase orders, intelligent inventory management and supplier collaboration, greatly improving the overall efficiency of material management, and reducing the risk of errors caused by manual operations, ensuring smooth construction.

[0032] 2. The system introduces a dynamic forecasting function based on data analysis, which can automatically adjust the demand plan for raw materials according to various factors such as construction progress, historical data, market changes, etc., which can reduce excessive material reserves or supply shortages, optimize inventory management, and reduce capital occupation and waste.

[0033] 3. The system achieves transparency and real-time collaboration in the supply chain through an information sharing platform with suppliers, helping all links of the construction project to respond to changes in demand more quickly. The selection and management of suppliers is data-driven to ensure the timely supply and quality control of materials, thereby optimizing the efficiency of the entire supply chain.

[0034] 4. The system supports the full life cycle management of building materials, monitors and optimizes the entire process from procurement, use to disposal, extends the service life of materials, reduces waste, and achieves efficient and sustainable material management of construction projects through intelligent optimization and continuous improvement. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 It is a block diagram of the overall structure of the management system of the present invention.

[0036] Figure 2 This is a flowchart of the raw material information management module used in the present invention.

[0037] Figure 3 This is a flowchart of the operation of the procurement management module of the present invention.

[0038] Figure 4 It is a functional schematic diagram of the inventory management module of the present invention.

[0039] Figure 5 The present invention is a flowchart of optimizing the deployment of deployment modules.

[0040] Figure 6 It is a flowchart of the raw material quality assessment module assessment method of the present invention.

[0041] Figure 7 This is a submodule block diagram of the supply chain transparency module of the present invention.

[0042] Figure 8 It is a functional schematic diagram of the raw material life cycle management module of the present invention.

[0043] Fig. 9 It is a flowchart of the working method of the raw material demand forecasting and inventory optimization module of the present invention.

[0044] Fig.10 This is a functional block diagram of the automatic procurement and supplier collaborative optimization module of the present invention. DETAILED DESCRIPTION

[0045] The present invention is further described below in conjunction with the accompanying drawings and specific implementation methods. It should be noted that, under the premise of no conflict, the various embodiments or technical features described below can be arbitrarily combined to form a new embodiment. It should be noted that the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0046] See also Figures 1 to 10 The present invention provides a technical solution: a raw material management system for construction engineering, covering various aspects such as raw material procurement, inventory, use, quality control and supply chain management. The management system consists of a raw material information management module, a procurement management module, an inventory management module, a use management module, an optimization and deployment module, a raw material quality assessment module, an environmental impact assessment and material selection module, a supply chain transparency module, a life cycle management module, a raw material demand forecasting and inventory optimization module, and an automatic procurement and supplier collaborative optimization module. Among them:

[0047] The raw material information management module is responsible for storing and managing the basic information of all building materials, such as name, specification, unit, supplier, purchase record, storage time, inventory quantity, etc. This module is the core data source for all operations, supporting the query and data interaction of other modules of the system. It stores material information based on database technology, uses the ERP system to provide a standardized data interface, and supports manual input and automatic import functions.

[0048] The procurement management module is responsible for managing the procurement process of raw materials, including generating procurement plans, supplier selection, order management, contract signing, etc. Procurement plans can be automatically generated based on inventory conditions and construction progress, and the system can automatically issue procurement notices by setting rules. It usually uses standard ERP modules and combines API interfaces to automate the procurement process, and procurement orders can be automatically connected to the supplier system.

[0049] The inventory management module is responsible for managing the inbound and outbound storage and inventory status of construction materials, updating inventory information in real time, supporting inventory warning functions, and preventing material shortages or backlogs. The system provides multi-warehouse management functions to ensure that the material needs of multiple construction sites are managed synchronously. Material inbound and outbound management is mainly achieved through barcode or RFID technology, and inventory is updated in real time. It supports multi-warehouse and multi-level inventory management, and inventory data is presented through a visual interface.

[0050] The construction site material usage management module is responsible for recording and tracking the use of materials at the construction site, including information such as consumption, transfer, and return of materials. The system can update the use progress of each material in real time to ensure that the material use process is traceable. Through mobile devices or IoT sensors, on-site construction personnel can upload material usage in real time, and the system will automatically calculate the remaining materials and expected consumption.

[0051] The intelligent raw material optimization and allocation module can predict future raw material demand through machine learning algorithms, dynamically optimize raw material scheduling based on construction progress, external environment and project plan, and ensure the efficiency and accuracy of raw material supply. Combining big data analysis and data input from IoT sensors, the prediction model is used for scheduling optimization, automatically triggering material allocation or procurement plans.

[0052] The raw material quality assessment module with multi-source data fusion can integrate supplier data, quality inspection data, and on-site inspection data, and conduct a comprehensive assessment of raw material quality through big data technology, and continuously monitor the performance of raw materials during use, and issue timely warnings when problems are found. By integrating multi-source data interfaces, using big data technology and real-time monitoring methods, the quality of raw materials can be tracked and comprehensively evaluated.

[0053] The intelligent environmental impact assessment and material selection module is used to assess the environmental impact of different building materials, automatically recommend green and environmentally friendly materials, support enterprises to achieve green construction goals, reduce carbon emissions and environmental pollution. It integrates carbon emissions and environmental databases, combines big data and artificial intelligence algorithms, and realizes environmental assessment and selection recommendations for materials.

[0054] The blockchain-based supply chain transparency module can track the procurement and transportation process of raw materials through blockchain technology to ensure transparent and traceable supply chain information. The supplier, transportation, quality inspection and other data of each batch of materials are recorded on the blockchain to prevent data tampering and ensure the quality and safety of materials. The blockchain platform is mainly used to realize distributed data storage and verification to ensure the non-tamperability of supply chain data.

[0055] The raw material life cycle management module can manage the entire life cycle of raw materials, tracking the entire process from procurement, transportation, inventory to use. The system monitors the service life and consumption of raw materials, and issues warnings when the materials are about to expire, ensuring the safety of materials during the construction process. It mainly uses RFID technology and sensor networks to collect real-time data on raw material usage, and combines big data analysis technology to achieve full life cycle management of materials.

[0056] The self-learning raw material demand forecasting and inventory optimization module uses a self-learning algorithm to predict future raw material demand based on historical usage data and project progress, and automatically optimizes inventory strategies to ensure the stability of raw material supply during construction. This module is based on deep learning algorithms (such as LSTM) combined with time series prediction models to dynamically adjust the upper and lower limits of inventory to reduce material backlogs and shortages.

[0057] The intelligent automatic procurement and supplier collaborative optimization module can automatically generate purchase orders based on the raw material demand predicted by the system, and conduct collaborative optimization with suppliers to ensure the best procurement decision. The system will analyze the supplier's historical data and automatically select the supplier with the best cost-effectiveness. The procurement process is automated through the API interface between ERP and the supplier system, and the supplier selection is optimized in combination with machine learning algorithms.

[0058] Through the combination of the above modules, the construction material management system can automatically optimize the scheduling and inventory management of raw materials through predictive algorithms and self-learning functions, reduce manual operations, and improve the efficiency of raw material management. And the whole process management from procurement to use ensures that the quality, life and environmental impact of raw materials are continuously monitored. It also has the characteristics of supply chain transparency, using blockchain technology to ensure the transparency and credibility of supply chain data and prevent counterfeit and shoddy products from entering the construction site. The system integrates an environmental assessment module to ensure that the material selection meets the green construction standards and effectively reduces carbon emissions.

[0059] The construction material management system of the present invention combines the needs of modern construction projects, not only covers the basic functions of procurement, inventory, and construction site management, but also improves the intelligence and practicality of the system through innovative functions such as intelligent scheduling, quality assessment, environmental assessment, and blockchain supply chain traceability. The system can provide construction companies with a comprehensive, accurate, and efficient raw material management solution, and has great market application prospects and practical value.

[0060] More specifically, the features and usage of each module are as follows:

[0061] 1. Raw material information management module

[0062] The raw material information management module is the core data management part of the entire system, responsible for the systematic storage and management of basic information of building materials. This module collects, organizes and maintains basic information about raw materials, such as name, specification, unit, supplier, purchase record, storage time, inventory quantity, etc., providing real-time and reliable data support for other modules.

[0063] 1.1 Material information entry

[0064] Manual input: Project managers manually input relevant information about building materials through the system management interface, including material name, specification, unit, supplier, material batch number, procurement time, estimated delivery time, etc. Automatic input: The system can automatically synchronize the raw material information provided by suppliers through the interface with the ERP system or other supply chain management system. Automatic import can greatly reduce the workload of manual input and ensure data consistency. The system generates notifications to prompt project managers to confirm the accuracy of the information.

[0065] 1.2Material information maintenance and update

[0066] Warehouse update: When materials arrive at the warehouse, the system automatically identifies the material information through IoT devices (such as RFID scanners, barcode scanners, etc.) and updates the warehouse status. The system records information such as warehouse entry time, warehouse location, and warehouse entry quantity.

[0067] Outbound update: While materials are in use, the system also updates the outbound information of materials through IoT devices or manual operations, including outbound quantity, project association, construction tasks, etc.

[0068] 1.3 Material search and retrieval

[0069] The system provides a multi-dimensional material query function, and users can quickly retrieve the required material information by key fields such as material number, name, specification, supplier, etc. The query results can display the current inventory status, usage history, procurement records, etc. of the material.

[0070] 1.4 Material life cycle tracking

[0071] The system records the entire life cycle information of each batch of materials from procurement, warehousing, delivery to use. This includes the material procurement time, transportation process, storage time, usage tasks, etc. By tracking the complete life cycle of each batch of materials, the system can effectively manage the quality of materials, inventory backlogs or shortages, etc.

[0072] The system records relevant data of each batch of materials based on the material ID, including purchase time, supplier, transportation status, storage location, usage tasks and usage progress.

[0073] During the construction process, the system automatically updates the usage status and consumption of materials to ensure that all material usage links are recorded in detail.

[0074] The system can issue early warnings for materials that are about to expire or have not been used for a long time, reminding project managers to deal with them and avoid material expiration or loss.

[0075] 1.5 Data visualization and report generation

[0076] Data visualization: This module supports data visualization of material information. Users can view inventory status, material consumption trends, procurement cycles and other information in the form of charts to help optimize the material management process.

[0077] Report generation: The system supports one-click generation of various reports on material management, such as inventory reports, purchase reports, usage record reports, etc., to help project managers conduct regular audits and optimize management decisions.

[0078] 2. Procurement management module

[0079] The procurement management module is responsible for the whole process management of building materials from demand generation, supplier selection, order management to contract signing. This module can automatically generate procurement plans based on construction progress, inventory status and historical consumption, and connect with the supplier system to optimize the procurement process and ensure timely supply of materials.

[0080] 2.1 Procurement Demand Generation

[0081] Demand forecasting and generation: The system automatically generates procurement requirements based on material inventory status, project construction progress, and historical consumption data. It uses machine learning models to predict future material consumption and reduce the risk of material backlogs or shortages.

[0082] Manual intervention: Project managers can also manually add procurement requirements, especially when special projects or unexpected situations occur (such as temporary additional work or plan adjustments).

[0083] 2.2 Supplier selection and price comparison

[0084] Supplier management: The system stores detailed information about each supplier, including supplier name, historical delivery status, material unit price, credit rating, etc. The system automatically recommends the most suitable supplier based on procurement needs, and supports price comparison among multiple suppliers to optimize procurement costs.

[0085] Supplier collaboration platform: By integrating supplier systems, it supports suppliers to view purchase orders online, confirm orders and provide feedback on delivery cycles, thus forming real-time collaborative optimization with suppliers.

[0086] 2.3 Purchase Order Management

[0087] Order generation and approval: Based on the confirmed purchase requirements, the system automatically generates a purchase order, which includes material specifications, quantity, unit price, supplier information, etc. The system supports the order approval process to ensure that each purchase order complies with the company's budget and procurement strategy.

[0088] Contract signing and management: The system supports online contract signing, and completes the contract signing with suppliers through electronic signature. The system also stores all contracts and performs version management to ensure the traceability and validity of the contracts.

[0089] 2.4 Procurement delivery tracking and management

[0090] Real-time delivery tracking: The system is integrated with the supplier's logistics platform to track the delivery progress of materials in real time. Managers can view the transportation status, estimated arrival time and other information of the materials through the system to ensure that the construction materials arrive on time.

[0091] Warehousing and acceptance: After the materials arrive at the warehouse, the system updates the materials' warehousing status through IoT devices or manual operations, and starts the acceptance process to ensure that the materials meet quality requirements.

[0092] 2.5 Data Analysis and Report Generation

[0093] Procurement data analysis: The system provides multi-dimensional procurement data analysis functions, including supplier performance analysis, material procurement cost analysis, procurement cycle statistics, etc., to help optimize procurement strategies.

[0094] Report generation: The system supports automatic generation of procurement reports. Users can generate and export detailed procurement records, supplier performance, material delivery status and other reports with one click to support decision-making analysis and auditing.

[0095] 3. Inventory Management Module

[0096] The inventory management module is used to perform real-time monitoring, inventory counting, inbound and outbound management, and inventory warning of construction raw materials. This module ensures that the inventory status of materials at the construction site or warehouse is clear, supports automated inventory counting and management, and through linkage with other modules (such as the procurement management module), achieves accurate matching of material supply and demand to avoid material backlogs or shortages.

[0097] 3.1 Material warehousing management

[0098] Automatic warehousing registration: When materials arrive at the warehouse or construction site, the system automatically identifies the material's warehousing information through IoT devices (such as RFID tags, barcode scanners), and updates the inventory quantity, storage location, etc.

[0099] 3.2 Material outbound management

[0100] Automatic outbound registration: When materials need to be shipped out for construction, the system automatically updates the outbound status through RFID or barcode scanning equipment, and records the outbound time, quantity, purpose and other information of the materials to ensure that all outbound operations are traceable.

[0101] Manual outbound delivery: For outbound delivery operations without automated equipment, the system supports manual entry of outbound delivery information. After the system confirms the outbound delivery operation, it updates the inventory information and generates an outbound delivery report.

[0102] 3.3 Inventory counting and adjustment

[0103] Automated inventory counting: The system performs automated inventory counting regularly or on demand, scans all materials in the warehouse through IoT devices, automatically compares the actual inventory with the system records, and generates an inventory counting report.

[0104] step:

[0105] Set the inventory frequency (regularly or based on actual demand), and the system will automatically trigger the inventory task according to the plan.

[0106] IoT devices scan the labels of all materials in the warehouse and compare them with the inventory data in the system.

[0107] The system generates an inventory count report listing inventory discrepancies and flagging materials that require attention.

[0108] Managers adjust the inventory records in the system based on the inventory results and record and archive the reasons for the differences.

[0109] Manual inventory counting and adjustment: Support managers to manually perform inventory counting and adjust the inventory records in the system according to the actual inventory counting results to ensure the accuracy of inventory information. The system records the reasons and time of adjustment to ensure the traceability of inventory adjustments.

[0110] 3.4 Inventory warning and reminder

[0111] Inventory upper and lower limit warning: The system sets the upper and lower limits of each material's inventory based on the material usage history and project requirements. When the inventory of a certain material falls below the safety inventory line, the system automatically issues an early warning to prompt management personnel to purchase or replenish inventory.

[0112] Material expiration warning: The system can automatically issue reminders that materials are about to expire based on the production date and shelf life of the materials, helping managers to deal with materials that are about to expire in a timely manner to avoid waste.

[0113] 3.5 Data Analysis and Report Generation

[0114] Inventory data analysis: The system supports multi-dimensional analysis of inventory data, including material inventory change trends, storage location utilization, material consumption rate, etc. Users can view key data related to various types of inventory in the form of charts to provide a basis for inventory optimization.

[0115] Report generation: The system supports one-click generation of inventory reports, including inventory status reports, inventory warning reports, inventory counting reports, etc., to help managers regularly audit inventory status.

[0116] 4. Construction site raw material usage management module

[0117] The construction site raw material usage management module is responsible for real-time monitoring and recording of the use of raw materials during the construction process, ensuring the effective use of materials and reducing material waste. This module can compare the actual use of raw materials with the construction plan, helping managers to adjust construction strategies in a timely manner, optimize material configuration, and provide data support for subsequent material procurement.

[0118] 4.1 Material usage plan formulation

[0119] Usage plan generation: Based on the construction progress, material inventory and construction tasks, the system automatically generates a material usage plan to ensure that the materials required for each construction stage are reasonably arranged.

[0120] The system automatically calculates the required material types and quantities based on the construction progress, material inventory and construction tasks at each stage.

[0121] Users can review and adjust the material usage plan generated by the system to ensure the feasibility of the plan.

[0122] The generated material usage plan will be assigned to the relevant person in charge of the construction site and archived in the system for subsequent tracking.

[0123] Task allocation: Link the material usage plan with specific construction tasks to ensure that on-site construction personnel understand the materials required for each task and the time of use.

[0124] 4.2 Material usage monitoring and recording

[0125] Real-time monitoring: Through IoT devices, the system monitors the use of materials on site in real time to ensure that the use of materials is in line with the predetermined plan, and tracks material consumption through sensors.

[0126] Install RFID or sensor devices at construction sites to track material consumption in real time.

[0127] The system receives sensor data in real time and updates the material usage status.

[0128] Managers can use the system to view the usage of various materials in real time to ensure that it is consistent with the plan.

[0129] Usage records: The system records detailed information on each use of materials, including time of use, user, quantity used, construction tasks, etc., to ensure the traceability of material use.

[0130] After each use of materials, on-site personnel need to record the material usage information through a barcode scanner or manually input.

[0131] The system automatically saves usage records, including material name, quantity, user, usage time and related construction tasks.

[0132] Managers can check material usage records at any time for subsequent audit and analysis.

[0133] 4.3 Material Usage Analysis and Feedback

[0134] Consumption analysis: The system provides analysis reports on material consumption to help managers understand the material usage at different stages and tasks, so as to optimize material allocation and procurement decisions.

[0135] Feedback mechanism: During the construction process, on-site personnel can provide feedback on the use of materials. The system will record this information and feed it back to the material management module for reference in subsequent procurement and management optimization.

[0136] 4.4 Abnormal situation handling

[0137] Abnormal usage alarm: The system can monitor abnormal situations in the use of materials, such as material usage exceeding the planned schedule, material damage, waste, etc., and issue early warnings in time to prompt managers to take measures.

[0138] The system sets thresholds for material usage (eg, usage exceeds plan by 10%).

[0139] Once abnormal usage is detected, the system immediately issues an alarm to alert management personnel.

[0140] Managers can conduct on-site inspections in a timely manner based on the alarm information to avoid further waste of materials.

[0141] Loss record and processing: record the loss of materials during use, analyze the loss, and find improvement measures.

[0142] 4.5 Data Report and Summary

[0143] Usage report generation: The system supports the generation of comprehensive reports on material usage, covering material usage, consumption trends, losses, etc. at each stage, providing data support for management decisions.

[0144] Summary and improvement suggestions: After the project is completed, the system can generate a summary of the project material usage and put forward improvement suggestions to improve the material management level of future projects.

[0145] 5. Intelligent raw material optimization and allocation module

[0146] The intelligent raw material optimization and allocation module aims to use intelligent algorithms and data analysis technology to automatically formulate the best raw material allocation plan for construction projects based on multi-dimensional factors such as construction requirements, material characteristics and market prices. This module helps project managers optimize the procurement and use of raw materials, reduce costs and improve construction efficiency by analyzing historical data and real-time information.

[0147] 5.1 Data Collection and Analysis

[0148] Historical data integration: The system integrates material usage data, construction progress, climate conditions, market prices and other information of historical projects to provide basic data support for optimized deployment.

[0149] The system automatically extracts data from historical projects from the database, including material type, usage quantity, time period and cost.

[0150] Summarize the usage of different materials under different conditions and form a data analysis model.

[0151] For each material, analyze its historical consumption trend, correlation with construction progress, etc.

[0152] Real-time data monitoring: By connecting to the monitoring system at the construction site, the current construction progress, material inventory, market price and other information can be obtained in real time to ensure dynamic adjustment of the deployment plan.

[0153] The system accesses sensor data at the construction site in real time to obtain the real-time usage status of raw materials.

[0154] The system obtains real-time material price fluctuation information from the market supplier interface.

[0155] Compare and analyze real-time data with historical data to evaluate the effectiveness of current material usage.

[0156] 5.2 Optimization Algorithm and Allocation Strategy

[0157] Intelligent allocation algorithm: Use machine learning and optimization algorithms to automatically generate the optimal raw material allocation plan based on construction plans, material properties, market conditions and other factors.

[0158] The system uses algorithm models (such as genetic algorithms, linear programming, etc.) to perform optimization calculations based on historical data and real-time data.

[0159] Generate optimal usage plans for different materials, including optimal purchase quantities, usage sequence, and allocation strategies.

[0160] The system automatically generates deployment plan reports for management personnel to review and adjust.

[0161] Multi-objective optimization: During the deployment process, multiple objectives are considered, such as minimizing costs, minimizing material waste, maximizing construction efficiency, etc., to ensure that the optimization plan meets actual needs.

[0162] Users set target weights for allocation in the system, such as cost, time, material availability, etc.

[0163] The system performs multi-objective optimization calculations based on the set weights and generates a comprehensive optimal solution.

[0164] Provide different evaluation indicators for the plan to help managers make the final decision.

[0165] 5.3 Implementation and feedback of deployment plan

[0166] Implementation of allocation plan: The system passes the optimized allocation plan to the procurement management module to ensure timely procurement and reasonable allocation of raw materials.

[0167] After the optimization plan is reviewed by the management staff, the system will transmit the information to the procurement management module.

[0168] The procurement module generates specific purchase orders based on the plan and contacts suppliers for material procurement.

[0169] The construction site arranges the use of materials according to the deployment plan to ensure that it is implemented as planned.

[0170] Usage feedback and adjustment: During the use of materials, the system records the deviation between actual usage and the allocation plan, and adjusts the optimization strategy in a timely manner.

[0171] 5.4 Cost Control and Benefit Evaluation

[0172] Cost control analysis: The system automatically calculates material costs and savings based on the deployment plan and actual usage, providing data support for project budgeting.

[0173] Benefit evaluation: After the project is completed, the system will conduct a comprehensive evaluation of the effectiveness of the deployment plan, analyzing the efficiency of material use, cost control and the impact on the construction progress.

[0174] 5.5 Intelligent Decision Support

[0175] Decision suggestion generation: Based on the allocation results and historical data, the system provides managers with intelligent decision support to help them formulate better material usage plans.

[0176] 6. Raw material quality assessment module based on multi-source data fusion

[0177] The raw material quality assessment module with multi-source data fusion aims to comprehensively assess the quality of raw materials by integrating data from different sources (such as supplier quality reports, construction site sensor data, historical quality records, etc.). This module establishes a data fusion model to monitor and analyze the quality of raw materials in real time, ensure that the materials used meet the standards and requirements of the construction project, and reduce the risks caused by material quality problems.

[0178] 6.1 Data Source Integration

[0179] Data source identification and access: The system identifies and accesses multiple data sources, including but not limited to suppliers' quality control data, laboratory test reports, real-time monitoring data from the construction site, and historical quality records.

[0180] List all possible data sources, including supplier management systems, quality labs, field sensors, etc.

[0181] The real-time data from each data source is connected to the quality assessment module through API or data interface.

[0182] Regularly update and synchronize historical data to ensure that the assessment process is based on the latest and complete information.

[0183] Data preprocessing: preprocess the received data, including data cleaning, format standardization and missing value filling to ensure data quality and consistency.

[0184] The system automatically identifies and cleans dirty data, removing duplicate and incomplete records.

[0185] Convert data from different sources into different formats to ensure data consistency (such as unit conversion).

[0186] Missing values ​​were filled by using interpolation or other reasonable methods to ensure the integrity of subsequent analysis.

[0187] 6.2 Quality Assessment Model Construction

[0188] Fusion algorithm design: Construct fusion algorithms based on multi-source data, such as weighted average method, decision tree model, deep learning, etc., to comprehensively evaluate the quality of raw materials.

[0189] According to the quality characteristics of different data sources, select the appropriate fusion algorithm (such as weighted average, random forest, etc.).

[0190] Set the weight of each data source, which can be dynamically adjusted based on the reliability and historical performance of the data source.

[0191] The model is trained with historical data to ensure that the model has high evaluation accuracy.

[0192] Real-time quality assessment: Utilize the constructed quality assessment model to monitor the quality data of raw materials in real time and generate quality assessment reports.

[0193] The system receives data updates from various data sources in real time and performs automatic evaluation.

[0194] Based on the evaluation results, a quality evaluation report is generated, including the scores of various quality indicators and the overall quality score.

[0195] Reports are sent to management and procurement departments in real time to enable timely decisions.

[0196] 6.3 Quality risk analysis and early warning

[0197] Risk analysis: The system analyzes the quality assessment results of raw materials, identifies possible quality risks, and generates corresponding risk reports.

[0198] Based on the quality assessment results, the system compares historical data with standard quality indicators to identify unqualified or marginally qualified materials.

[0199] Analyze material quality fluctuations, generate potential risk indicators, and assess their impact on the project.

[0200] Generate a quality risk report that lists risky materials and the project aspects they may affect.

[0201] Early warning mechanism: Establish a quality early warning mechanism. Once the evaluation result is lower than the set standard, the system will immediately issue an alarm and notify the relevant responsible persons.

[0202] Set warning values ​​for raw material quality assessment, such as triggering an early warning when the score is below a certain threshold.

[0203] Once an early warning is triggered, the system immediately notifies managers and on-site supervisors via email or text message.

[0204] Provide relevant suggestions and guide personnel to take remedial measures, such as re-testing, replacing materials, etc.

[0205] 6.4 Quality Improvement Feedback Mechanism

[0206] Improvement suggestion generation: Based on quality assessment and risk analysis, the system provides improvement suggestions to help project teams optimize material procurement and usage strategies.

[0207] By analyzing the assessment results and risk factors, the system automatically generates improvement suggestions, including changing suppliers, strengthening inspection standards, etc.

[0208] Record the recommendations in the system for subsequent project and management reference.

[0209] Users can provide feedback on the suggestions to help the system optimize the suggestion model.

[0210] Performance evaluation: Evaluate the effect of material quality improvement, summarize and analyze regularly, and improve the level of material quality control in the future.

[0211] 6.5 User Interface and Report Generation

[0212] Visual interface: Provides a friendly user interface to display quality assessment results, risk analysis and improvement suggestions, allowing users to quickly understand and make decisions.

[0213] Report generation: The system supports the generation of detailed quality assessment reports to facilitate project audits and management decisions.

[0214] 7. Intelligent environmental impact assessment and material selection module

[0215] The intelligent environmental impact assessment and material selection module aims to intelligently select suitable building materials by analyzing the environmental impact of construction projects and combining sustainability standards and material characteristics. This module ensures that the selected materials meet project requirements while minimizing negative impacts on the environment through environmental data monitoring, life cycle assessment (LCA) and material performance analysis.

[0216] 7.1 Environmental data monitoring and analysis

[0217] Environmental data collection: The system collects environmental data from the construction site through sensors and external data interfaces, including information such as air quality, soil properties, and water source protection.

[0218] Identify key indicators for environmental data collection, such as PM2.5 concentration, noise level, soil pH, and water quality.

[0219] Deploy sensors and monitoring equipment to obtain real-time environmental data at the construction site.

[0220] Access meteorological data (such as temperature, humidity, precipitation, etc.) through API or data interface to enhance the comprehensiveness of environmental data.

[0221] Environmental impact analysis: Based on the collected environmental data, systematically evaluate the potential impact of the construction project on the environment, including air pollution, water pollution and ecological impact.

[0222] An environmental impact analysis model is established and, combined with the collected data, the environmental impact index of the construction activities is calculated.

[0223] Compare the project's impact index with acceptable environmental standards and identify potential environmental risks.

[0224] Generate environmental impact analysis reports and provide visual impact assessment results.

[0225] 7.2 Material Life Cycle Assessment (LCA)

[0226] Life cycle data collection: Systematically integrate life cycle data of different materials, including the environmental impacts of each stage such as raw material extraction, production, transportation, use and disposal.

[0227] Collect and collate life cycle assessment data for commonly used building materials, including information on CO2 emissions, energy consumption and waste generation.

[0228] Establish a material database containing environmental impact indicators of different materials to facilitate subsequent selection and evaluation.

[0229] The database is updated regularly to keep material life cycle data accurate and current.

[0230] LCA analysis and comparison: Analyze the life cycle of different materials, compare their environmental impacts, and provide a basis for material selection.

[0231] Conduct a life cycle analysis on selected building materials and calculate their environmental impact at each stage.

[0232] By comparing LCA results of different materials, preferred materials with lower environmental impact can be identified.

[0233] Generate LCA analysis reports to display material environmental impact data and comparison results.

[0234] 7.3 Intelligent material selection

[0235] Selection algorithm design: Based on environmental impact assessment and material life cycle data, intelligent algorithms (such as multi-objective optimization, machine learning, etc.) are used for material selection.

[0236] Set material selection goals based on project needs, including environmental standards, performance requirements, cost control, etc.

[0237] Using multi-objective optimization algorithms, the comprehensive performance of different materials in terms of environmental impact, performance and economy can be automatically analyzed.

[0238] Generate a recommended list of material selections and provide the best options.

[0239] Intelligent recommendation system: Based on project characteristics and environmental requirements, the system intelligently recommends the most suitable building materials and provides detailed material selection criteria.

[0240] 7.4 Implementation and Feedback

[0241] Material selection and implementation support: Support the project team to record and implement the selection results during the material selection process to ensure that the selected materials meet environmental requirements.

[0242] The recommended material information is passed to the procurement management module to generate a purchase order.

[0243] The selected materials are marked at the construction site to ensure that they meet environmental standards.

[0244] During the implementation process, record the material usage to ensure that it is consistent with the material selection results.

[0245] Feedback and improvement mechanism: Continuously optimize material selection and environmental impact assessment based on implementation results and environmental monitoring data during construction.

[0246] After the project is completed, material use and environmental impact data are collected and analyzed for deviations from the assessment results.

[0247] Generate feedback reports that identify strengths and weaknesses in the material selection process and provide a reference for future projects.

[0248] Update the intelligent recommendation algorithm to improve the accuracy and practicality of subsequent material selection.

[0249] 7.5 User Interface and Report Generation

[0250] User-friendly interface: Provides an intuitive user interface to display environmental impact assessment results, material selection recommendations and LCA analysis, making it easy for users to understand and operate.

[0251] Report generation: Supports generation of environmental impact assessment and material selection reports to facilitate project audits and subsequent analysis.

[0252] 8. Supply chain transparency module based on blockchain

[0253] The blockchain-based supply chain transparency module aims to improve the transparency and traceability of the supply chain of raw materials for construction projects through blockchain technology. The module records the entire supply chain process of materials, including procurement, transportation, storage and use, to ensure the authenticity and compliance of the source of materials, thereby reducing material quality risks and improving management efficiency.

[0254] 8.1 Blockchain Infrastructure

[0255] Blockchain platform selection: Select a suitable blockchain platform (such as Ethereum, Hyper ledger Fabric, etc.) and build a dedicated supply chain transparency network according to project requirements.

[0256] Evaluate the characteristics of various blockchain platforms, including transaction speed, security, and ease of use.

[0257] Choose the most suitable blockchain platform based on the size and complexity of your project.

[0258] Configure the blockchain network to ensure that it can support the participation of multiple parties (suppliers, buyers, supervisors, etc.).

[0259] Smart Contract Design: Design and deploy smart contracts to automatically record data and events in all links of the supply chain.

[0260] Identify key events in the supply chain (such as purchase orders, shipping, warehousing, etc.) and develop corresponding smart contracts.

[0261] Develop smart contracts to ensure that relevant actions (such as updating status and recording transactions) are automatically executed when specific conditions are met.

[0262] Deploy the smart contract and test it to ensure it works as expected.

[0263] 8.2 Data Recording and Tracking

[0264] Material information record: record key information of raw materials in each supply chain link, including supplier information, production batches, transportation routes, warehousing records, etc.

[0265] Design the data structure and define the material information fields to be recorded (such as name, quantity, specification, quality standard, etc.).

[0266] Every time materials flow, the relevant information is recorded on the blockchain through smart contracts to ensure that the data cannot be tampered with.

[0267] Utilize the timestamp function of blockchain to record the operation time of each link and ensure the timeliness of information.

[0268] Supply chain visualization: Provides a visualization interface that allows users to view the supply chain status and history of materials in real time.

[0269] 8.3 Participant Authentication and Rights Management

[0270] Identity authentication mechanism: Use the identity authentication function of blockchain to ensure the authenticity of the identities of all parties involved in the supply chain.

[0271] Create a unique blockchain identity (address) for each supply chain participant (such as suppliers, transportation companies, construction units).

[0272] The identity of participants is verified through digital certificates and encryption technology to ensure their legitimacy.

[0273] Record the identity verification process to ensure data transparency and traceability.

[0274] Permission control: Blockchain-based permission management ensures that each participant in the supply chain can access and operate the corresponding data according to their role.

[0275] Set appropriate access rights according to the roles of participants (such as suppliers, buyers, supervisors).

[0276] Use smart contracts to control data read and write permissions to ensure information security.

[0277] Regularly review permission settings to ensure they meet actual operational needs.

[0278] 8.4 Quality Monitoring and Compliance Verification

[0279] Real-time monitoring and data update: The storage and transportation conditions of materials are monitored in real time through the Internet of Things (IoT) technology, and the data is uploaded to the blockchain to ensure the quality of materials during transportation and storage.

[0280] Install sensors in transport vehicles and warehouses to monitor indicators such as temperature, humidity and vibration in real time.

[0281] Upload monitoring data to the blockchain through the Internet of Things platform to ensure the timeliness and accuracy of the data.

[0282] The system automatically compares monitoring data with material standards and generates compliance reports.

[0283] Compliance records: Record the compliance inspection results of all materials to ensure that the materials used meet the relevant standards.

[0284] Determine the standards and processes for compliance checks and design corresponding smart contracts.

[0285] During the material warehousing and use process, the compliance check results are automatically recorded and uploaded to the blockchain.

[0286] Generate compliance reports for management review and decision making.

[0287] 8.5 User Interface and Report Generation

[0288] User-friendly interface: Provides an easy-to-operate user interface that enables supply chain participants to quickly query and manage information.

[0289] Report generation and data analysis: Supports the generation of supply chain transparency reports to facilitate project audits and management decisions.

[0290] 9. Raw material life cycle management module

[0291] The raw material life cycle management module aims to comprehensively manage the life cycle of raw materials in construction projects, from procurement, use, maintenance to final disposal, to ensure the effective use of materials and environmental friendliness. Through data collection and analysis, this module optimizes the use strategy of raw materials, extends the service life of materials, reduces resource waste, and promotes sustainable development.

[0292] 9.1 Raw Materials Procurement Management

[0293] Supplier management and evaluation: Establish a supplier database, evaluate suppliers' reputation, delivery capabilities and product quality, and ensure the reliability of raw materials.

[0294] Collect and enter supplier information, including company qualifications, product types, and historical delivery records.

[0295] Set evaluation criteria (such as price, delivery time, quality stability), and evaluate and score suppliers regularly.

[0296] Suppliers are screened based on the evaluation results to form a list of qualified suppliers.

[0297] Procurement process optimization: formulate procurement plans and processes, optimize procurement strategies, and reduce procurement costs and time.

[0298] Develop a procurement plan based on project requirements and construction progress, and specify the types and quantities of raw materials.

[0299] Automatically generate purchase orders and send them to selected suppliers.

[0300] Track the fulfillment status of purchase orders to ensure timely delivery.

[0301] 9.2 Raw Materials Usage Management

[0302] Inventory management: monitor the inventory status of raw materials in real time, plan the use of materials rationally, and avoid material shortages or surpluses.

[0303] Track raw materials in inventory through barcode or RFID technology and update inventory information in real time.

[0304] Set up an inventory warning mechanism to automatically issue an alarm when the inventory falls below the set threshold.

[0305] Review and adjust inventory levels regularly based on construction progress and material usage.

[0306] Material usage records: record the use of raw materials during the construction process, including the quantity, time and construction links.

[0307] Record material usage in real time on the construction site using mobile devices (such as tablets or mobile phones).

[0308] Automatically upload usage records to the system to ensure the timeliness and accuracy of data.

[0309] Generate material usage reports to provide a basis for subsequent decision-making.

[0310] 9.3 Raw material maintenance and care

[0311] Maintenance plan formulation: formulate corresponding maintenance and care plans for different types of raw materials to extend the service life of the materials.

[0312] Develop a maintenance plan based on material properties and usage environment, including inspection frequency, maintenance methods and responsible persons.

[0313] Raw materials are regularly inspected to ensure they meet the standards for use.

[0314] Record the details of maintenance and servicing to ensure data completeness.

[0315] Performance monitoring and feedback: Use sensors to monitor changes in raw material performance, identify potential problems in a timely manner, and take appropriate measures.

[0316] Install sensors on key materials to monitor their performance indicators (such as strength, durability, etc.).

[0317] Analyze monitoring data regularly to identify trends of performance degradation.

[0318] Adjust usage strategies or perform maintenance based on monitoring results.

[0319] 9.4 Raw Materials Disposal Management

[0320] Disposal plan formulation: formulate corresponding disposal plans based on material characteristics to ensure environmentally friendly treatment of waste materials.

[0321] Collect waste materials separately and record their types and quantities.

[0322] Develop a disposal plan based on the nature of the material (recyclable, non-recyclable), and clarify the processing process and responsible persons.

[0323] Work with professional waste disposal companies to ensure legal disposal of waste materials.

[0324] Disposal result tracking: Record the disposal results of waste materials to ensure the transparency and compliance of the disposal process.

[0325] Record the disposal methods of waste materials (such as recycling, landfill, incineration, etc.) and their relevant supporting documents.

[0326] Generate waste material disposal reports to ensure data integrity and traceability.

[0327] Regularly evaluate the effectiveness of disposal plans and optimize the disposal process of raw materials.

[0328] 9.5 Data Analysis and Decision Support

[0329] Data analysis tools: Use data analysis tools to analyze the usage, maintenance and disposal effects of raw materials to provide decision support.

[0330] Integrate various types of data on procurement, use, maintenance and disposal, and establish data analysis models.

[0331] Analyze raw material usage efficiency, costs and environmental impact to identify areas for improvement.

[0332] Based on the analysis results, optimization suggestions are put forward, such as adjusting procurement strategies, improving material usage, etc.

[0333] Sustainability assessment: Assess the environmental impact of the use of raw materials and set sustainable development goals.

[0334] Analyze the environmental impact of materials based on the Life Cycle Assessment (LCA) method.

[0335] Set sustainable development indicators (such as resource utilization and waste recycling rate) and regularly evaluate their achievement.

[0336] Develop improvement plans to promote sustainable development of material use.

[0337] 9.6 User Interface and Report Generation

[0338] Intuitive User Interface: Provides a user-friendly interface that enables users to quickly view and manage raw material life cycle information.

[0339] Report generation and sharing: Supports the generation of raw material life cycle management reports to facilitate project auditing and decision-making.

[0340] 10. Self-learning raw material demand forecasting and inventory optimization module

[0341] The self-learning raw material demand forecasting and inventory optimization module is designed to use advanced data analysis and machine learning technology to intelligently forecast the demand for raw materials in construction projects and optimize inventory management. This module automatically adjusts inventory levels by analyzing historical data, construction progress and market dynamics, reducing resource waste, lowering holding costs, and ensuring smooth construction.

[0342] 10.1 Data Collection and Preparation

[0343] Historical data integration: Integrate historical purchase, usage, inventory and market data to build a complete data set.

[0344] Collect historical data on raw material procurement, usage, inventory and price changes to ensure the timeliness and accuracy of the data.

[0345] Clean and preprocess the data, handle missing values, outliers, and perform standardization.

[0346] Import data into the data warehouse to prepare for subsequent analysis.

[0347] Real-time data collection: Through sensors and IoT devices, the usage of raw materials and market information at the construction site are collected in real time.

[0348] Install sensors at material storage locations and construction sites to monitor raw material inventory levels and usage rates in real time.

[0349] Integrate market data (such as material prices and supply conditions) and update system information in a timely manner.

[0350] Upload real-time data to your data warehouse to ensure that your predictive models use the latest information.

[0351] 10.2 Demand Forecasting Model Construction

[0352] Machine learning model selection: Select appropriate machine learning algorithms (such as linear regression, random forest, LSTM, etc.) for demand forecasting.

[0353] Select an appropriate machine learning algorithm based on data characteristics and demand prediction goals.

[0354] Use historical data to train models to identify key factors that affect raw material demand (such as construction progress, seasonal changes, etc.).

[0355] The model was cross-validated and parameter tuned to ensure its prediction accuracy.

[0356] Demand forecasting implementation: Use the trained model to predict future raw material demand.

[0357] Input current construction progress, inventory levels and market information to generate a forecast of raw material demand over the next period of time.

[0358] Based on forecast results, potential inventory shortages and surpluses are identified.

[0359] Update the model regularly to ensure that it continues to adapt to environmental changes and data fluctuations.

[0360] 10.3 Inventory Optimization Strategy

[0361] Inventory optimization algorithm: Apply inventory optimization algorithms (such as economic order quantity EOQ, reorder point ROP, etc.) to determine the optimal inventory level.

[0362] Based on demand forecast results, calculate the optimal inventory level for each raw material and set the reorder point.

[0363] Consider procurement cycle, holding cost and out-of-stock cost to develop a reasonable inventory strategy.

[0364] Regularly evaluate the effectiveness of your inventory strategy and make necessary adjustments.

[0365] Intelligent replenishment mechanism: Automated replenishment process to ensure timely and stable material supply.

[0366] Set up automatic replenishment rules, and when inventory reaches the reorder point, the system automatically generates a purchase order.

[0367] Send purchase orders to selected suppliers to ensure timely replenishment.

[0368] Track replenishment status to ensure materials arrive at the job site on time.

[0369] 10.4 Self-learning and model optimization

[0370] Continuous learning mechanism: Through the feedback mechanism, the prediction model continues to learn and improve.

[0371] Compare actual usage with forecast results and analyze forecast deviations.

[0372] Feedback deviation information to the model, regularly update and retrain the model to improve prediction accuracy.

[0373] Record the learning process and generate model optimization reports.

[0374] User feedback and intervention: Allow users to provide feedback and adjust the prediction results to improve the adaptability of the prediction.

[0375] Provide a user interface that allows users to manually adjust forecast results (e.g., based on special project needs).

[0376] Record user feedback and analyze its impact on model performance.

[0377] Incorporate user adjustment information into model learning to improve the intelligence level of the system.

[0378] 10.5 Data Visualization and Reporting

[0379] Visual interface: Provides an intuitive user interface to display demand forecasts and inventory status.

[0380] Report generation and sharing: Supports the generation of demand forecast and inventory management reports to facilitate project auditing and decision-making.

[0381] 11. Intelligent automatic procurement and supplier collaborative optimization module

[0382] The intelligent automatic procurement and supplier collaborative optimization module aims to optimize the procurement process of raw materials in construction projects through automation technology and intelligent decision support systems. This module can not only automatically generate purchase orders, but also collaborate efficiently with suppliers to ensure timely delivery of raw materials and cost control. Through real-time data sharing and analysis, it enhances the scientificity and transparency of procurement decisions and improves the overall efficiency of the supply chain.

[0383] 11.1 Intelligent Procurement Process Design

[0384] Procurement demand identification: Automatically identify raw materials that need to be purchased based on project requirements, inventory status and demand forecasts.

[0385] The system automatically analyzes the construction progress and current inventory levels and generates a purchase requirement list.

[0386] Identify the raw materials and quantities to be purchased based on preset procurement thresholds.

[0387] Record procurement demand information in the system to prepare for subsequent automated procurement.

[0388] Automatically generate purchase orders: Automatically generate purchase orders based on procurement needs to reduce human intervention.

[0389] The system automatically generates a purchase order based on the purchase requirement list and the selected supplier.

[0390] The order should include key information such as material specifications, quantity, delivery time and price.

[0391] Purchase orders are automatically sent to the corresponding suppliers through the system to ensure timeliness.

[0392] 11.2 Supplier Management and Evaluation

[0393] Supplier database construction: Establish a complete supplier database to record supplier information, delivery capabilities and historical performance.

[0394] Collect and enter basic information of suppliers, including company name, contact information, product types, etc.

[0395] Record the supplier's delivery history, quality evaluation and customer feedback to form an evaluation report.

[0396] Regularly update the supplier database to ensure the timeliness and accuracy of information.

[0397] Supplier performance evaluation: Evaluate suppliers based on historical data to provide a basis for purchasing decisions.

[0398] Suppliers are scored based on indicators such as delivery punctuality, quality pass rate, and price rationality.

[0399] Set evaluation cycles, generate supplier performance reports regularly, and communicate with suppliers.

[0400] Adjust supplier selection based on evaluation results to improve procurement quality.

[0401] 11.3 Supply Chain Collaboration and Information Sharing

[0402] Real-time data sharing: Establish an information sharing platform with suppliers to ensure data transparency and real-time updates.

[0403] Establish an online collaboration platform with suppliers to achieve real-time sharing of information such as order status, inventory levels and market prices.

[0404] Regularly hold supplier meetings to share market trends, technological innovations and project progress and enhance partnerships.

[0405] Data connection between systems is achieved through API interface, which improves the efficiency of information flow.

[0406] Supplier collaborative decision-making: Develop procurement strategies together with suppliers to improve the flexibility and responsiveness of the supply chain.

[0407] Based on real-time data analysis, invite suppliers to participate in the formulation of procurement strategies and make collaborative decisions.

[0408] When demand fluctuates, communicate with suppliers quickly to adjust procurement plans to ensure supply stability.

[0409] Through data analysis, we can predict future market changes and formulate response strategies in advance.

[0410] 11.4 Intelligent Decision Support System

[0411] Decision support model construction: Build intelligent decision support models based on historical data and market dynamics.

[0412] Collect historical purchasing data and market trends to build decision support models.

[0413] The model should be able to simulate different suppliers, materials and market conditions to provide a basis for decision-making.

[0414] Regularly verify and optimize the model to improve its predictive accuracy and adaptability.

[0415] Optimize procurement decisions: Optimize procurement decisions for raw materials through intelligent analysis and recommendations.

[0416] The system analyzes current market prices, supplier performance and project requirements to generate procurement recommendations.

[0417] Recommend the best suppliers and procurement strategies based on multiple indicators such as cost, quality, and delivery time.

[0418] Allow users to adjust system recommendations to ensure flexibility and adaptability in decision making.

[0419] 11.5 Risk Management and Emergency Mechanism

[0420] Risk identification and assessment: Identify the risks that may arise during the procurement process and develop response strategies.

[0421] Analyze historical data and market dynamics to identify potential risks (such as supply delays, price fluctuations, etc.).

[0422] Prepare a risk assessment report, list the risk levels and impacts, and provide corresponding response measures.

[0423] Establish an emergency mechanism to ensure rapid response and handling when risks occur.

[0424] Supplier substitution mechanism: Establish a backup supplier pool to deal with emergencies.

[0425] Mark alternate suppliers in the supplier database to ensure they meet project needs.

[0426] Communicate with backup suppliers regularly and maintain good relationships to ensure that cooperation can be quickly initiated in an emergency.

[0427] During the procurement process, the system automatically prompts alternative suppliers to ensure timely replacement when necessary.

[0428] 11.6 Data Visualization and Reporting

[0429] Visual dashboard: Provides real-time procurement status and supplier performance visualization interface.

[0430] Regular report generation: Generate regular reports for automated procurement and supplier collaboration.

[0431] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A material management system for construction engineering, characterized by: The management system includes raw material information management module, procurement management module, inventory management module, usage management module, optimization and allocation module, raw material quality assessment module, environmental impact assessment and material selection module, supply chain transparency module, life cycle management module, raw material demand forecasting and inventory optimization module, automatic procurement and supplier collaborative optimization module; The raw material information management module is used to store and manage the basic information of all building materials; The procurement management module is used to manage the procurement process of raw materials, including but not limited to generating procurement plans, supplier selection, order management, and contract signing; The inventory management module is used to manage the storage, delivery and inventory status of construction materials, update inventory information in real time, and provide inventory warnings; The usage management module is used to record and track the usage of raw materials at the construction site, including but not limited to the information of consumption, transfer and return of raw materials; The optimization and allocation module predicts future raw material demand through machine learning algorithms and dynamically optimizes raw material scheduling based on construction progress, external environment and project plan; The raw material quality assessment module is used to integrate supplier data, quality inspection data, and on-site inspection data to comprehensively assess the quality of raw materials, and continuously monitor the performance of raw materials during use, and issue timely warnings when problems are found; The environmental impact assessment and material selection module is used to assess the environmental impact of different building materials and automatically recommend green and environmentally friendly materials; The supply chain transparency module is used to track the procurement and transportation process of raw materials; The life cycle management module is used to manage the entire life cycle of raw materials, tracking the entire process from procurement, transportation, inventory to use; The raw material demand forecasting and inventory optimization module can predict future raw material demand based on historical usage data and project progress, and automatically optimize inventory strategies; The automatic procurement and supplier collaborative optimization module can automatically generate purchase orders based on the raw material demand predicted by the system and perform collaborative optimization with suppliers.

2. A material management system for construction engineering according to claim 1, characterized in that: The basic information stored and managed by the raw material information management module includes name, specification, unit, supplier, purchase record, warehousing time, and inventory quantity. The usage of this module is material information entry, material information maintenance and update, material query and retrieval, material life cycle tracking, data visualization and report generation.

3. A material management system for construction engineering according to claim 1, characterized in that: The working methods of the procurement management module are procurement demand generation, supplier selection and price comparison, procurement order management, procurement delivery tracking and management, data analysis and report generation.

4. A material management system for construction engineering according to claim 1, characterized in that: The inventory management module can perform material inbound management, material outbound management, inventory counting and adjustment, inventory warning and reminder. The automatic operation method of inventory counting and adjustment includes the following steps: S1, set the inventory frequency, and the system automatically triggers the inventory task according to the plan; S2, scans the labels of all materials in the warehouse through IoT devices and compares them with the inventory data in the system; S3, the system generates an inventory count report, lists the inventory discrepancies, and marks the materials that require attention; S4. The manager adjusts the inventory records in the system based on the inventory results and records and archives the reasons for the differences.

5. The material management system for construction engineering according to claim 1, characterized in that: The deployment method of the optimization deployment module is data collection and analysis, optimization algorithm and deployment strategy, deployment plan implementation and feedback, cost control and efficiency evaluation, and intelligent decision support.

6. A material management system for construction engineering according to claim 1, characterized in that: The evaluation method of the raw material quality evaluation module is data source integration, quality evaluation model construction, quality risk analysis and early warning, quality improvement feedback, user interface display and report generation.

7. A material management system for construction engineering according to claim 1, characterized in that: The supply chain transparency module includes a blockchain infrastructure, a data recording and tracking sub-module, a participant identity authentication and authority management sub-module, a quality monitoring and compliance verification sub-module, and a user interface and report generation sub-module.

8. The material management system for construction engineering according to claim 1, characterized in that: The raw material life cycle management module can perform raw material procurement management, raw material usage management, raw material maintenance and care management, raw material disposal management, data analysis and decision support.

9. A material management system for construction engineering according to claim 1, characterized in that: The working method of the raw material demand forecasting and inventory optimization module is data collection and preparation, demand forecasting model construction, inventory optimization strategy generation, self-learning and model optimization, providing a visual interface and generating reports.

10. A material management system for construction engineering according to claim 1, characterized in that: The automatic procurement and supplier collaborative optimization module is used for intelligent procurement process design, supplier management and evaluation, supply chain collaboration and information sharing, intelligent decision support, risk management and establishment of emergency mechanisms, generation of visual data and generation of regular reports.

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