Hot-rolled steel structure product manufacturing informatization system platform
By designing a hot-rolled steel structure product manufacturing information system platform, problems such as low level of informationization and unscientific production management have been solved, and comprehensive management and optimization of products, orders, production, inventory, quality and data have been achieved, and the operational efficiency and product quality of enterprises have been improved.
Patent Information
- Application Number
- CN202411669420.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-21
- Publication Date
- 2025-03-07
AI Technical Summary
Hot-rolled steel structure product manufacturing companies have problems such as low level of informatization, unscientific production management, extensive inventory management, backward quality management, scattered data management, and lack of intelligent prediction, optimization and diagnosis capabilities.
A hot-rolled steel structure product manufacturing information system platform is designed, including product management module, order management module, production management module, inventory management module, quality control module, data analysis module and artificial intelligence module. Through the coordinated operation and data sharing of each module, comprehensive management and optimization of products, orders, production, inventory, quality and data are achieved.
It improves the operational efficiency, product quality, customer satisfaction and economic benefits of the enterprise, providing support and guarantee for the digital transformation and intelligent development of the enterprise.
Smart Images
Figure CN119579344A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of hot-rolled steel structure product manufacturing, in particular to an information system platform for hot-rolled steel structure product manufacturing. Background Art
[0002] Hot-rolled steel structure products are important basic materials for the construction, machinery, bridges, ships and other industries. The manufacturing process involves multiple links such as raw material procurement, production and processing, quality control, warehousing and logistics, which places high demands on the management and operation capabilities of enterprises. Traditional hot-rolled steel structure product manufacturing companies generally have the following problems: The level of informatization is low, and production management and business processes rely on manual operations and experience-based judgment, which results in low efficiency and high error rates.
[0003] Product information management is chaotic and lacks unified coding and standards, making it difficult to achieve traceability and management of the entire product life cycle.
[0004] The order processing process is complicated, communication and coordination are poor, and problems such as delayed delivery and information errors often occur, affecting customer satisfaction.
[0005] Production planning and scheduling lack scientificity and timeliness, making it difficult to cope with market changes and emergencies, and it is difficult to ensure production efficiency and product quality.
[0006] Inventory management is extensive, lacking real-time monitoring and early warning mechanisms, and problems such as raw material shortages and product backlogs often occur, resulting in large capital occupation and low turnover rates.
[0007] The quality management methods are backward and there is a lack of digital quality inspection records and analysis methods, making it difficult to discover and improve quality problems in a timely manner, and the product qualification rate and customer satisfaction are low.
[0008] Data management is decentralized and lacks centralized data analysis and mining capabilities, making it difficult to provide effective data support for corporate decision-making.
[0009] The lack of intelligent prediction, optimization and diagnosis capabilities makes it difficult to adapt to the rapid changes in the market environment and the increasing competitive pressure. Summary of the invention
[0010] The present invention aims to solve the above problems, thereby providing a hot-rolled steel structure product manufacturing information system platform that improves the management and operation capabilities of an enterprise.
[0011] The present invention solves the above-mentioned problem by adopting the following technical solution: A hot-rolled steel structure product manufacturing information system platform includes a product management module, an order management module, a production management module, an inventory management module, a quality control module, a data analysis module and an artificial intelligence module.
[0012] The product management module includes a product information entry submodule, a product information update submodule and a product classification submodule.
[0013] The order management module includes an order entry submodule, an order tracking submodule and an order statistics submodule.
[0014] The production management module includes the production planning submodule, the production progress submodule and the production equipment management submodule.
[0015] The inventory management module includes the raw material inventory submodule, the finished product inventory submodule and the inventory warning submodule.
[0016] The quality control module includes a quality inspection record module, a quality inspection analysis submodule and a quality traceability submodule.
[0017] The data analysis module includes a data collection submodule, a data processing submodule and a data display submodule.
[0018] The artificial intelligence module includes an intelligent prediction submodule, an intelligent optimization submodule and an intelligent diagnosis submodule, and cooperates with other modules to improve the overall efficiency and intelligence level of the system.
[0019] Compared with the prior art, the present invention adopting the above technical solution has the following outstanding features: Through the collaborative operation and data sharing of various modules, comprehensive management and optimization of various business links such as products, orders, production, inventory, quality, data analysis and artificial intelligence are achieved, which improves the company's operational efficiency, product quality, customer satisfaction and economic benefits, and provides strong support and guarantee for the company's digital transformation and intelligent development.
[0020] Preferably, a further technical solution of the present invention is: Furthermore, the product information entry submodule of the product management module receives externally input product numbers, product names, product specifications, product materials, product images, product description documents, and product classification numbers, stores and manages the above information through a database, and can generate a product life cycle report through a data analysis module; The product information update submodule of the product management module receives the externally input product number and updated product information, updates the corresponding product information through the database, and generates an update impact report through the data analysis module.
[0021] Furthermore, the order entry submodule of the order management module receives externally input order number, customer name, customer contact information, order product information, order quantity, order delivery date and order status, and stores this order information through the database, and optimizes the order processing flow in combination with the data analysis module.
[0022] Furthermore, the production planning submodule of the production management module generates a production plan based on the order information, stores and manages the production plan information through a database, and uses the data analysis module to evaluate production efficiency and make optimization suggestions; The production progress submodule of the production management module generates a production progress report based on the production plan and real-time production data, stores and manages the above information through the database, and performs bottleneck analysis and solution suggestions through the data analysis module.
[0023] Furthermore, the raw material inventory submodule of the inventory management module receives externally input raw material numbers, raw material names, raw material specifications, raw material quantities, raw material supplier information, and raw material entry time, stores and manages the above information through a database, and performs inventory optimization and cost control through a data analysis module; The finished product inventory submodule of the inventory management module receives external input of finished product number, finished product name, finished product specification, finished product quantity, finished product entry time and finished product exit time, stores and manages the above information through the database, and performs inventory turnover rate analysis through the data analysis module.
[0024] Furthermore, the quality inspection record submodule of the quality control module receives the quality inspection number, quality inspection date, quality inspector information, quality inspection product information, quality inspection results and quality inspection report input from the outside, stores and manages the above information through the database, and performs quality trend analysis and problem warning through the data analysis module; The quality inspection analysis submodule of the quality control module analyzes the quality inspection data, generates a quality analysis report, and stores and manages the above information through a database, and provides quality improvement measures and feedback mechanisms in conjunction with the data analysis module.
[0025] Furthermore, the data analysis module provides comprehensive data analysis and reporting functions by integrating data from various modules such as products, orders, production, inventory and quality control, helping enterprises to optimize decision-making and improve business processes.
[0026] Furthermore, the intelligent prediction submodule of the artificial intelligence module performs demand forecasting, production forecasting and inventory forecasting based on historical data and real-time data, stores and manages the forecast results through a database, and provides forecast reports in conjunction with the data analysis module.
[0027] Furthermore, the intelligent optimization submodule of the artificial intelligence module performs production optimization, inventory optimization and quality control optimization according to the analysis results provided by the data analysis module, stores and manages these optimization plans through the database, and generates optimization reports.
[0028] Furthermore, the intelligent diagnosis submodule of the artificial intelligence module diagnoses abnormal data in the production process, generates a fault diagnosis report, and stores and manages the diagnosis information through a database, and provides fault solutions and preventive measures in conjunction with the data analysis module. BRIEF DESCRIPTION OF THE DRAWINGS
[0029] Figure 1 It is a schematic diagram of the overall structure of the system of the present invention. DETAILED DESCRIPTION
[0030] The present invention will be further described below in conjunction with embodiments, the purpose of which is only to provide a better understanding of the content of the present invention. Therefore, the examples given do not limit the protection scope of the present invention.
[0031] A hot-rolled steel structure product manufacturing information system platform includes a product management module, an order management module, a production management module, an inventory management module, a quality control module, a data analysis module and an artificial intelligence module.
[0032] The product management module includes a product information entry submodule, a product information update submodule and a product classification submodule.
[0033] The order management module includes an order entry submodule, an order tracking submodule and an order statistics submodule.
[0034] The production management module includes the production planning submodule, the production progress submodule and the production equipment management submodule.
[0035] The inventory management module includes the raw material inventory submodule, the finished product inventory submodule and the inventory warning submodule.
[0036] The quality control module includes a quality inspection record module, a quality inspection analysis submodule and a quality traceability submodule.
[0037] The data analysis module includes a data collection submodule, a data processing submodule and a data display submodule.
[0038] The artificial intelligence module includes an intelligent prediction submodule, an intelligent optimization submodule and an intelligent diagnosis submodule, and cooperates with other modules to improve the overall efficiency and intelligence level of the system.
[0039] Furthermore, the product information entry submodule of the product management module receives external input of product number, product name, product specification, product material, product picture, product description document and product classification number, stores and manages the above information through the database, and can generate a product life cycle report through the data analysis module.
[0040] The product information update submodule of the product management module receives the externally input product number and updated product information, updates the corresponding product information through the database, and generates an update impact report through the data analysis module.
[0041] The product information entry submodule provides product information entry functions through the Web interface or client program, supports batch import and single entry, and performs format verification and integrity checks on the entered data to ensure data accuracy and consistency. The product information update submodule supports modification and deletion of entered product information, and provides modification history tracking functions to facilitate problem tracing and auditing. The product classification submodule supports a multi-level classification system, can flexibly configure classification rules according to the actual situation of the enterprise, and provides classification management and maintenance functions.
[0042] Furthermore, the order entry submodule of the order management module receives externally input order number, customer name, customer contact information, order product information, order quantity, order delivery date and order status, and stores this order information through the database, and optimizes the order processing flow in combination with the data analysis module.
[0043] The order entry submodule supports manual entry and automatic entry through external system interface, and provides order information verification and review functions to ensure the accuracy and completeness of order data. The order tracking submodule provides real-time tracking of order status, records the entire process from order receipt to delivery, and provides abnormal warning and reminder functions to facilitate order progress management and customer communication. The order statistics submodule provides multi-dimensional order statistics analysis functions, such as statistics by time, customer, product and other dimensions, and supports custom statistical reports and chart displays.
[0044] Furthermore, the production planning submodule of the production management module generates a production plan based on the order information, stores and manages the production plan information through a database, and uses the data analysis module to evaluate production efficiency and make optimization suggestions.
[0045] The production progress submodule of the production management module generates a production progress report based on the production plan and real-time production data, stores and manages the above information through the database, and performs bottleneck analysis and solution suggestions through the data analysis module.
[0046] The production plan submodule automatically generates a production plan based on order status and inventory status, and provides manual adjustment and optimization functions. It also takes into account factors such as equipment capacity and human resources to improve the feasibility and accuracy of the production plan. The production progress submodule is connected to the workshop production management system to obtain production progress data in real time, and provides production progress visualization and early warning functions to facilitate the scheduling and control of production tasks. The production equipment management submodule provides equipment ledger management, equipment maintenance plan management, equipment fault management and other functions to ensure the normal operation and maintenance of the equipment.
[0047] Furthermore, the raw material inventory submodule of the inventory management module receives external input of raw material number, raw material name, raw material specification, raw material quantity, raw material supplier information and raw material entry time, stores and manages the above information through the database, and performs inventory optimization and cost control through the data analysis module.
[0048] The finished product inventory submodule of the inventory management module receives external input of finished product number, finished product name, finished product specification, finished product quantity, finished product entry time and finished product exit time, stores and manages the above information through the database, and performs inventory turnover rate analysis through the data analysis module.
[0049] The raw material inventory submodule and the finished product inventory submodule manage the warehousing, outbound storage, and inventory of raw materials and finished products respectively, and provide functions such as inventory query, inventory counting, and inventory transfer. At the same time, combined with production plans and sales forecasts, they provide inventory warning functions to avoid inventory backlogs or shortages. The inventory warning submodule provides inventory warning functions based on preset inventory thresholds, combined with current inventory conditions and future production and sales plans, and supports customized warning rules and warning methods, such as emails, text messages, etc.
[0050] Furthermore, the quality inspection record submodule of the quality control module receives the quality inspection number, quality inspection date, quality inspector information, quality inspection product information, quality inspection results and quality inspection report input from the outside, stores and manages the above information through the database, and performs quality trend analysis and problem warning through the data analysis module; The quality inspection analysis submodule of the quality control module analyzes the quality inspection data, generates a quality analysis report, and stores and manages the above information through a database, and provides quality improvement measures and feedback mechanisms in conjunction with the data analysis module.
[0051] The quality inspection record submodule provides the input and management functions of quality inspection data, supports both manual input and automatic collection, and provides the query, statistics and analysis functions of quality inspection data. The quality inspection analysis submodule performs statistical analysis on quality inspection data, provides functions such as quality trend analysis and quality problem early warning, and supports custom quality analysis models and algorithms to improve the accuracy and real-time performance of quality analysis. The quality traceability submodule provides product quality traceability functions, records the quality data of the entire process from raw materials to finished products, and provides root cause analysis and improvement measures for quality problems to ensure the traceability and continuous improvement of product quality.
[0052] Furthermore, the data analysis module provides comprehensive data analysis and reporting functions by integrating data from various modules such as products, orders, production, inventory and quality control, helping enterprises to optimize decision-making and improve business processes.
[0053] The data collection submodule is responsible for collecting and integrating data from various business systems and external data sources, providing data cleaning, conversion and processing functions to ensure data accuracy and consistency. The data processing submodule analyzes and processes the collected data, provides multi-dimensional data analysis models and algorithms, such as statistical analysis, data mining, machine learning, etc., and supports custom analysis models and algorithms. The data display submodule provides data visualization display functions, supports a variety of charts and report formats, and provides data drill-down and interactive analysis functions to facilitate users to explore and analyze data.
[0054] Furthermore, the intelligent prediction submodule of the artificial intelligence module performs demand forecasting, production forecasting and inventory forecasting based on historical data and real-time data, stores and manages the forecast results through a database, and provides forecast reports in conjunction with the data analysis module.
[0055] Furthermore, the intelligent optimization submodule of the artificial intelligence module performs production optimization, inventory optimization and quality control optimization according to the analysis results provided by the data analysis module, stores and manages these optimization plans through the database, and generates optimization reports.
[0056] Furthermore, the intelligent diagnosis submodule of the artificial intelligence module diagnoses abnormal data in the production process, generates a fault diagnosis report, and stores and manages the diagnosis information through a database, and provides fault solutions and preventive measures in conjunction with the data analysis module.
[0057] The intelligent prediction submodule uses machine learning algorithms, combined with historical data and real-time data, to predict future demand, production, inventory, etc., and continuously optimizes the prediction model to improve the accuracy of the prediction. The intelligent optimization submodule uses intelligent optimization algorithms, such as genetic algorithms and ant colony algorithms, to optimize production planning, inventory management, quality control and other businesses, and provide the best decision-making plan. The intelligent diagnosis submodule uses fault diagnosis and anomaly detection algorithms to analyze and diagnose abnormal data in the production process, provide fault cause analysis and solutions, and reduce production downtime and quality problems. At the same time, the artificial intelligence module also provides intelligent customer service, intelligent scheduling, intelligent logistics and other functions to further enhance the system's intelligence level and user experience.
[0058] Through the collaborative operation and data sharing of various modules, comprehensive management and optimization of various business links such as products, orders, production, inventory, quality, data analysis and artificial intelligence are achieved, which improves the company's operational efficiency, product quality, customer satisfaction and economic benefits, and provides strong support and guarantee for the company's digital transformation and intelligent development.
[0059] The above description is only a preferred feasible embodiment of the present invention, and does not limit the scope of rights of the present invention. All equivalent changes made using the contents of the present invention specification and its drawings are included in the scope of rights of the present invention.
Claims
1. A hot-rolled steel structure product manufacturing information system platform, characterized by: Including product management module, order management module, production management module, inventory management module, quality control module, data analysis module and artificial intelligence module; The product management module includes a product information entry submodule, a product information update submodule, and a product classification submodule; The order management module includes an order entry submodule, an order tracking submodule, and an order statistics submodule; The production management module includes the production planning submodule, the production schedule submodule and the production equipment management submodule; The inventory management module includes the raw material inventory submodule, the finished product inventory submodule and the inventory warning submodule; The quality control module includes the quality inspection record module, the quality inspection analysis submodule and the quality traceability submodule; The data analysis module includes a data collection submodule, a data processing submodule and a data display submodule; The artificial intelligence module includes an intelligent prediction submodule, an intelligent optimization submodule and an intelligent diagnosis submodule, and cooperates with other modules to improve the overall efficiency and intelligence level of the system.
2. The hot-rolled steel structure product manufacturing information system platform according to claim 1 is characterized by: The product information entry submodule of the product management module receives external input of product numbers, product names, product specifications, product materials, product images, product description documents, and product classification numbers, stores and manages the above information through the database, and can generate product life cycle reports through the data analysis module; The product information update submodule of the product management module receives the externally input product number and updated product information, updates the corresponding product information through the database, and generates an update impact report through the data analysis module.
3. The hot-rolled steel structure product manufacturing information system platform according to claim 1 is characterized by: The order entry submodule of the order management module receives external input of order number, customer name, customer contact information, order product information, order quantity, order delivery date and order status, and stores this order information through the database, and optimizes the order processing flow in combination with the data analysis module.
4. The hot-rolled steel structure product manufacturing information system platform according to claim 1 is characterized by: The production planning submodule of the production management module generates a production plan based on order information, stores and manages the production plan information through a database, and uses the data analysis module to evaluate production efficiency and provide optimization suggestions; The production progress submodule of the production management module generates a production progress report based on the production plan and real-time production data, stores and manages the above information through the database, and performs bottleneck analysis and solution suggestions through the data analysis module.
5. The hot-rolled steel structure product manufacturing information system platform according to claim 1 is characterized by: The raw material inventory submodule of the inventory management module receives the raw material number, raw material name, raw material specification, raw material quantity, raw material supplier information and raw material entry time input from the outside, stores and manages the above information through the database, and performs inventory optimization and cost control through the data analysis module; The finished product inventory submodule of the inventory management module receives external input of finished product number, finished product name, finished product specification, finished product quantity, finished product entry time and finished product exit time, stores and manages the above information through the database, and performs inventory turnover rate analysis through the data analysis module.
6. The hot-rolled steel structure product manufacturing information system platform according to claim 1 is characterized by: The quality inspection record submodule of the quality control module receives the quality inspection number, quality inspection date, quality inspector information, quality inspection product information, quality inspection results and quality inspection report input from the outside, stores and manages the above information through the database, and performs quality trend analysis and problem warning through the data analysis module; The quality inspection analysis submodule of the quality control module analyzes the quality inspection data, generates a quality analysis report, and stores and manages the above information through a database, and provides quality improvement measures and feedback mechanisms in conjunction with the data analysis module.
7. The hot-rolled steel structure product manufacturing information system platform according to claim 1 is characterized by: The data analysis module integrates data from various modules such as products, orders, production, inventory and quality control, and provides comprehensive data analysis and reporting functions to help companies optimize decision-making and improve business processes.
8. The hot-rolled steel structure product manufacturing information system platform according to claim 1 is characterized by: The intelligent prediction submodule of the artificial intelligence module performs demand forecasting, production forecasting and inventory forecasting based on historical data and real-time data, stores and manages the forecast results through the database, and provides forecast reports in combination with the data analysis module.
9. The hot-rolled steel structure product manufacturing information system platform according to claim 1, characterized in that: The intelligent optimization submodule of the artificial intelligence module performs production optimization, inventory optimization and quality control optimization based on the analysis results provided by the data analysis module, stores and manages these optimization plans through the database, and generates optimization reports.
10. The hot-rolled steel structure product manufacturing information system platform according to claim 1, characterized in that: The intelligent diagnosis submodule of the artificial intelligence module diagnoses abnormal data in the production process, generates fault diagnosis reports, stores and manages diagnostic information through a database, and provides fault solutions and preventive measures in conjunction with the data analysis module.