Intelligent manufacturing digital platform for magnetic material products

Abstract

The invention provides an intelligent manufacturing digitization platform for magnetic material products, and relates to the technical field of intelligent manufacturing digitization of magnetic material products. The system comprises a digital platform framework, and the digital platform framework comprises an acquisition layer, a network layer, a platform layer and an application layer, has the capabilities of heterogeneous data acquisition, aggregation, business modeling, business arrangement, application construction and the like, and realizes integration of supply chain collaboration, production management, equipment health, safety and environmental protection; and the acquisition layer mainly comprises a service terminal involved in an industrial enterprise application scene. By applying technologies such as big data and the Internet of Things, flow of enterprise data is perfected, links such as design, research and development, production and manufacturing, quality control and equipment maintenance of enterprises are connected in series, execution of a production plan is fed back to ERP in time, a black box in the production process is opened, transparent, efficient and intelligent production is achieved, and whole-flow monitoring of the production process is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent manufacturing digitization of magnetic material products, and in particular to an intelligent manufacturing digitization platform for magnetic material products. Background Art

[0002] Manufacturing is the lifeline of my country's national economy, the foundation of the country and the basis of a strong country. In recent years, under the background of "industrial upgrading" in the manufacturing industry, by 2025, 70% of manufacturing enterprises above a certain scale will basically realize digital networking, and more than 500 intelligent manufacturing demonstration factories leading the development of the industry will be built. In order to further accelerate the in-depth expansion of new technologies, new scenarios and new models of "5G+Industrial Internet" to all fields and links of industrial production, the "Guidelines for the Construction of 5G Fully Connected Factories" issued by the General Office of the Ministry of Industry and Information Technology proposes that it will mainly focus on various manufacturing industries such as raw materials, equipment, consumer goods, electronics, and key industries such as mining, ports, and electricity, promote 10,000 enterprises to carry out the construction of 5G intelligent manufacturing factories, build 1,000 classified and graded factories with distinctive characteristics, create 100 benchmark factories, and promote the in-depth development of 5G integrated applications, which is of decisive significance to the development of the electronic information industry.

[0003] At present, the production and manufacturing of magnetic material products are faced with a series of technical problems: 1. Material transportation and on-site inspection are all completed manually on-site, which cannot be managed in a unified manner, resulting in low production efficiency and large product differences. 2. Production data is in a disordered state, and it is impossible to effectively manage and analyze data, which restricts the efficiency of enterprises. 3. The traditional manufacturing model has a low degree of informatization and cannot carry out digital transformation of the entire product cycle. Summary of the invention

[0004] 1. Technical issues to be resolved

[0005] In view of the deficiencies in the prior art, the present invention provides a digital platform for intelligent manufacturing of magnetic material products, which solves the problems that material transportation and on-site inspection are all completed manually on-site, cannot be managed in a unified manner, have low production efficiency, large product differences, and production data is in a disordered state. It is impossible to effectively manage and analyze data, which restricts enterprise efficiency and the traditional manufacturing model has a low degree of informatization and cannot be digitally transformed throughout the product cycle.

[0006] (II) Technical solution

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: a digital platform for intelligent manufacturing of magnetic material products, including a digital platform framework, which includes an acquisition layer, a network layer, a platform layer, and an application layer. It has the capabilities of heterogeneous data acquisition, aggregation, business modeling, business orchestration, application construction, etc., to achieve supply chain collaboration, production management, equipment health, safety and environmental protection integration; the acquisition layer mainly includes business terminals involved in industrial enterprise application scenarios; the network layer is based on the high-speed, low-latency, and massive connection characteristics of the 5G network, which can meet the network requirements of different industrial scenarios; the platform layer includes providing an industry basic platform and building an industry cloud platform, and the application layer is a new application built based on the on-site environment.

[0008] Preferably, the business terminals include industrial sensors, various types of DTUs, industry-specific terminals, and industry-specific gateways. Enterprise users can achieve comprehensive and integrated perception within the scene through the business terminals; the provision of the industry basic platform is to provide a general industrial Internet industry basic platform for industry applications, and through communication connection management, device access management and data analysis services, it can achieve rapid access and digital operation and maintenance of cloud-based devices; the creation of the industry cloud platform includes manufacturing cloud platform, electrical cloud platform, power cloud platform, and energy cloud platform. This series of vertical industry cloud platforms provides standard interfaces and self-service interfaces to empower vertical industries.

[0009] Preferably, the application layer is based on machine vision, remote control, and on-site management, and creates new applications through the full-process monitoring system of the production process, the AI ​​inspection system of the smart workshop production line, the intelligent management system of in-plant logistics and warehousing, the automatic equipment data collection system, the refined energy consumption management system, and the remote video monitoring system.

[0010] Preferably, the full-process monitoring system of the production process improves the flow of enterprise data by using technologies such as 5G, cloud computing, big data, AI, and the Internet of Things, connects various links of the enterprise such as design and development, production and manufacturing, quality control, and equipment maintenance, and promptly feeds back the execution of the production plan to ERP, so as to achieve transparent, efficient, and intelligent production.

[0011] Preferably, the AI ​​inspection system for the production line of the smart workshop is based on machine learning classification and statistical technology, face recognition algorithm, and face comparison algorithm to monitor and identify personnel, replacing the current manual inspection of the production line. Through the comparison and recognition of faces and helmets, it can quickly detect whether personnel are wearing helmets and eliminate safety hazards.

[0012] Preferably, the in-factory logistics and warehousing intelligent management system is achieved by connecting an unmanned transport vehicle with electromagnetic or optical control to a 5G communication module, and wirelessly accessing ERP, MES and other systems to achieve efficient data transmission, thereby realizing the in-factory logistics transportation and intelligent warehousing management of production factors; the in-factory logistics and warehousing intelligent management system is realized through a 5G+AGV scheduling system; the AGV scheduling system can uniformly manage AGVs, and has functions such as route planning, business monitoring, and task management, and can generate data statistical reports in real time for on-site personnel to confirm statistics.

[0013] Preferably, the automatic equipment data collection system is to software-based smart factory PLC and deploy it together with MES, SCADA, robot collaborative scheduling and other software to the cloud, and use the low latency and high reliability characteristics of 5G to achieve wireless access to I / O modules, equipment, robots and other components and data transmission between PLCs and between PLCs and MES. The data of CNC machine tools, stereoscopic warehouses, manufacturing assembly lines and other equipment gathered in the PLC are transmitted to the big data platform through the 5G network, helping industrial enterprises to optimize processes, production capacity and energy consumption.

[0014] Preferably, the remote video monitoring system uses the industrial Internet identification resolution system to connect the upper and lower factory areas with each other and data islands, realize data interconnection and intercommunication between factories within the enterprise, form transparent production, and embed remote account access technology, so that customers can view the on-site monitoring video of the product production line in real time, realize remote intelligent monitoring for customers, and improve customer satisfaction.

[0015] Preferably, the industrial Internet APP of the remote video monitoring system is used to connect to the production data of the smart factory platform. Relevant leaders of the factory, general managers, and production line managers can view production data at different levels according to their job attributes, realize the sharing of production information by all employees, and enable flexible decision-making of the factory's production plan.

[0016] Working principle: It mainly includes various business terminals involved in the application scenarios of industrial enterprises, including industrial sensors, various DTUs, industry-specific terminals, industry-specific gateways, etc. Enterprise users can achieve comprehensive and integrated perception in the scene through various terminals, and based on the high speed, low latency and massive connection characteristics of 5G network, it can meet the network requirements of different industrial scenarios, and provide a platform layer. First, it provides a general industrial Internet industry basic platform for industry applications, and through communication connection management, equipment access management and data analysis services, it can achieve rapid access and digital operation and maintenance of cloud equipment. Second, it creates a series of vertical industry cloud platforms such as manufacturing cloud platform, electrical cloud platform, power cloud platform, energy cloud platform, etc., provides standard interfaces and self-service interfaces, and empowers vertical industries. After that, based on machine vision, remote control, on-site management and other scenarios, it creates new applications in the full process monitoring of the production process (intelligent manufacturing system), AI inspection system of smart workshop production line, intelligent management of in-plant logistics and warehousing (AGV system), automatic collection of equipment data (SCADA system), refined energy consumption management system, remote video monitoring (AI system) and other links.

[0017] (III) Beneficial effects

[0018] The present invention provides a digital platform for intelligent manufacturing of magnetic material products. It has the following beneficial effects:

[0019] 1. Use technologies such as big data and the Internet of Things to improve the flow of enterprise data, connect the company's design and development, production and manufacturing, quality control, equipment maintenance and other links, and promptly feedback the execution of the production plan to ERP, open the "black box" of the production process, achieve transparent, efficient and intelligent production, and realize full-process monitoring of the production process.

[0020] 2. Use machine learning, classification, statistics and other technologies to perform facial recognition monitoring and identification on personnel, replacing the current manual inspection of production lines, realizing AI inspection of smart workshop production lines, breaking through the mutual recognition and communication between upper and lower factory areas and data silos, realizing data interconnection and interoperability across factories within the enterprise, forming transparent production, and at the same time embedding remote account access technology to develop customers to view on-site monitoring videos of product production lines in real time and realize remote video monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 This is a schematic diagram of the process of the intelligent manufacturing digital platform for magnetic material products proposed in the present invention. DETAILED DESCRIPTION

[0022] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, 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 creative work are within the scope of protection of the present invention.

[0023] like Figure 1 As shown, an embodiment of the present invention provides a digital platform for intelligent manufacturing of magnetic material products, including a digital platform framework. The digital platform framework includes an acquisition layer, a network layer, a platform layer, and an application layer. It has the capabilities of heterogeneous data acquisition, aggregation, business modeling, business orchestration, application construction, etc., to achieve supply chain collaboration, production management, equipment health, safety and environmental protection integration; the acquisition layer mainly includes business terminals involved in industrial enterprise application scenarios; the network layer is based on the high-speed, low-latency, and massive connection characteristics of the 5G network, which can meet the network requirements of different industrial scenarios; the platform layer includes providing an industry basic platform and building an industry cloud platform, and the application layer is a new application built based on the on-site environment.

[0024] Business terminals include industrial sensors, various DTUs, industry-specific terminals, and industry-specific gateways. Enterprise users can achieve comprehensive and integrated perception within the scene through business terminals; providing an industry basic platform is to provide a general industrial Internet industry basic platform for industry applications, and through communication connection management, equipment access management and data analysis services, it can achieve rapid access and digital operation and maintenance of cloud-based equipment; creating industry cloud platforms including manufacturing cloud platforms, electrical cloud platforms, power cloud platforms, and energy cloud platforms. This series of vertical industry cloud platforms provides standard interfaces and self-service interfaces to empower vertical industries.

[0025] The application layer is based on machine vision, remote control, and on-site management. It creates new applications through the full-process monitoring system of the production process, the AI ​​inspection system of the smart workshop production line, the intelligent management system of factory logistics and warehousing, the automatic equipment data collection system, the refined energy consumption management system, and the remote video monitoring system.

[0026] The full-process monitoring system of the production process uses technologies such as 5G, cloud computing, big data, AI, and the Internet of Things to improve the flow of enterprise data, connect various links of the enterprise such as design and development, production and manufacturing, quality control, and equipment maintenance, and promptly feedback the execution of the production plan to ERP, so as to achieve transparent, efficient, and intelligent production.

[0027] The AI ​​inspection system for the production line of the smart workshop is based on machine learning classification and statistical technology, face recognition algorithm, and face comparison algorithm to monitor and identify personnel, replacing the current manual inspection of the production line. Through the comparison and recognition of faces and helmets, it can quickly detect whether personnel are wearing helmets and eliminate safety hazards.

[0028] The intelligent management system of in-factory logistics and warehousing is achieved by connecting unmanned transport vehicles with electromagnetic or optical control to 5G communication modules, and wirelessly accessing ERP, MES and other systems to achieve efficient data transmission, thereby realizing the intelligent management of in-factory logistics and warehousing of production factors; the intelligent management system of in-factory logistics and warehousing is achieved through the 5G+AGV dispatching system; the AGV dispatching system can uniformly manage AGVs, and has functions such as route planning, business monitoring, and task management, and can generate data statistical reports in real time for on-site personnel to confirm statistics.

[0029] The automatic equipment data collection system is to software-ize the PLC of the smart factory and deploy it together with MES, SCADA, robot collaborative scheduling and other software on the cloud. It uses the low latency and high reliability characteristics of 5G to achieve wireless access to I / O modules, equipment, robots and other components, and data transmission between PLCs and between PLCs and MES. The data of CNC machine tools, warehouses, manufacturing lines and other equipment gathered in the PLC is transmitted to the big data platform through the 5G network, helping industrial enterprises to optimize processes, production capacity and energy consumption.

[0030] The remote video monitoring system uses the industrial Internet identification resolution system to connect the upper and lower factory areas with each other and data silos, realize data interconnection across factories within the enterprise, form transparent production, and embed remote account access technology, allowing customers to view on-site monitoring videos of product production lines in real time, realize remote intelligent monitoring for customers, and improve customer satisfaction.

[0031] The industrial Internet APP of the remote video monitoring system is used to connect to the production data of the smart factory platform. Relevant leaders of the factory, general managers, and production line managers can view production data at different levels according to their job attributes, realize the sharing of production information by all employees, and enable flexible decision-making of the factory's production plans.

[0032] According to the production process and business needs of the digital platform for intelligent manufacturing of magnetic material products, the digital platform architecture is determined and the 5G network structure of SA networking is selected. By deploying the user plane equipment UPF inside the factory, cloud computing + UPF sinking is realized to create a dedicated network for cloud computing, data not leaving the factory, and ultra-low latency communication; the overall architecture of cloud-network integration is determined. At the same time, in order to achieve the purpose of unified network elements, the private interfaces of network elements of various brands are integrated, and their respective Tel The emetry interface realizes the collection function of the network elements to which it belongs, realizes real-time data collection and calculation, and achieves intelligent management; develops various business application scenarios of intelligent manufacturing, realizes standardized manufacturing process, integrated workshop management, digital equipment operation and maintenance, refined quality control and traceability of manufacturing process, thereby improving production efficiency, reducing production costs and improving product quality. The present invention takes magnetic material products as the object, and aims to build a precision magnetic component intelligent manufacturing factory based on 5G+ cloud network fusion technology, connects various types of factory equipment through 5G industrial gateways, provides high-performance, high-speed, high-reliability and low-latency networks for equipment connection, and transmits factory field data to the back-end operation and maintenance management platform in real time, builds a full-scale information system connecting the inside and outside of the factory and centered on people and machines, realizes comprehensive upgrading of factory maintenance, and comprehensive connection and interconnection of production factors and headquarters and branches, creates a 5G intelligent manufacturing factory, establishes a new management mode of 5G+AI remote video monitoring, completes the transformation from "digital" to "digital intelligence", and sets a benchmark application demonstration for the construction of 5G intelligent manufacturing factories in the manufacturing industry.

[0033] 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 digital platform for intelligent manufacturing of magnetic material products, including a digital platform framework, characterized in that: The digital platform framework consists of an acquisition layer, a network layer, a platform layer, and an application layer. It has the capabilities of heterogeneous data acquisition, aggregation, business modeling, business orchestration, and application construction, to achieve supply chain collaboration, production management, equipment health, and safety and environmental protection integration; the acquisition layer mainly includes business terminals involved in industrial enterprise application scenarios; the network layer is based on the high-speed, low-latency, and massive connection characteristics of the 5G network, and can meet the network requirements of different industrial scenarios; the platform layer includes providing an industry basic platform and building an industry cloud platform, and the application layer is a new application built based on the on-site environment.

2. The intelligent manufacturing digital platform for magnetic material products according to claim 1, characterized in that: The business terminals include industrial sensors, various types of DTUs, industry-specific terminals, and industry-specific gateways. Enterprise users can achieve comprehensive and integrated perception within the scene through business terminals; the provision of an industry basic platform is to provide a general industrial Internet industry basic platform for industry applications, and through communication connection management, device access management and data analysis services, it can achieve rapid access and digital operation and maintenance of cloud-based devices; the creation of an industry cloud platform includes a manufacturing cloud platform, an electrical cloud platform, a power cloud platform, and an energy cloud platform. This series of vertical industry cloud platforms provides standard interfaces and self-service interfaces to empower vertical industries.

3. The intelligent manufacturing digital platform for magnetic material products according to claim 1, characterized in that: The application layer is based on machine vision, remote control, and on-site management, and creates new applications through the full-process monitoring system of the production process, the AI ​​inspection system of the smart workshop production line, the intelligent management system of factory logistics and warehousing, the automatic equipment data collection system, the refined energy consumption management system, and the remote video monitoring system.

4. The intelligent manufacturing digital platform for magnetic material products according to claim 3, characterized in that: The full-process monitoring system of the production process uses 5G, cloud computing, big data, AI, the Internet of Things and other technologies to improve the flow of enterprise data, connect the company's design and development, production and manufacturing, quality control, equipment maintenance and other links, and promptly feedback the execution of the production plan to ERP, so as to achieve transparent, efficient and intelligent production.

5. The intelligent manufacturing digital platform for magnetic material products according to claim 1, characterized in that: The AI ​​inspection system for the production line of the smart workshop is based on machine learning classification and statistical technology, face recognition algorithm, and face comparison algorithm to monitor and identify personnel, replacing the current manual inspection of the production line. Through the comparison and recognition of faces and helmets, it can quickly detect whether personnel are wearing helmets and eliminate safety hazards.

6. The intelligent manufacturing digital platform for magnetic material products according to claim 1, characterized in that: The in-factory logistics and warehousing intelligent management system is achieved by connecting unmanned transport vehicles with electromagnetic or optical control to the 5G communication module, and wirelessly accessing ERP, MES and other systems to achieve efficient data transmission, and realize the intelligent management of logistics transportation and warehousing of production factors in the factory; the in-factory logistics and warehousing intelligent management system is realized through the 5G+AGV scheduling system; the AGV scheduling system can uniformly manage AGVs, and has functions such as route planning, business monitoring, task management, etc., and can generate data statistical reports in real time for on-site personnel to confirm statistics.

7. The intelligent manufacturing digital platform for magnetic material products according to claim 3, characterized in that: The automatic equipment data collection system is to software-based smart factory PLC and deploy it together with MES, SCADA, robot collaborative scheduling and other software to the cloud, and use the low latency and high reliability of 5G to achieve wireless access to I / O modules, equipment, robots and other components and data transmission between PLCs and between PLCs and MES. The data of CNC machine tools, stereoscopic warehouses, manufacturing assembly lines and other equipment gathered in the PLC are transmitted to the big data platform through the 5G network, helping industrial enterprises to optimize processes, production capacity and energy consumption.

8. The intelligent manufacturing digital platform for magnetic material products according to claim 3, characterized in that: The remote video monitoring system uses the industrial Internet identification resolution system to connect the upper and lower factory areas with each other and data islands, realize data interconnection between factories within the enterprise, form transparent production, and embed remote account access technology, so that customers can view the on-site monitoring video of the product production line in real time, realize remote intelligent monitoring for customers, and improve customer satisfaction.

9. The intelligent manufacturing digital platform for magnetic material products according to claim 3, characterized in that: The industrial Internet APP of the remote video monitoring system is used to connect to the production data of the smart factory platform. Relevant leaders of the factory, general managers, and production line managers can view production data at different levels according to their job attributes, realize the sharing of production information by all employees, and enable flexible decision-making of the factory's production plans.

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