In the context of the rapid development of Internet of Things technology + industrial Internet, the management concepts of the manufacturing industry are constantly being upgraded, and the level of digitalization and intelligence is also rapidly improving. Especially for the discrete manufacturing industry, intelligent means can solve many problems in the traditional management process:
• Data fragmentation: A large amount of enterprise data stays in discrete systems without forming a unified data standard. Some data are still stored through traditional methods such as reports and paper. The source of data is not unique, some data are inaccurate, and the underlying collection is incomplete, making it impossible to dig deeply. Manual data correction is common, and some application systems cannot play their due role, and no data link can be formed to support production and operation with big data.
• Incomplete digitalization: ERP is the core of production management of manufacturing enterprises, but many factories have found after installing ERP, MES and other systems that front-line employees have to manually update business data after completing their regular work, which not only increases the workload, but also reduces the real-time nature of the data. , Accuracy cannot be guaranteed, and data isolation between systems forms a functional wall.
• Information silo: In the production workshop, managers do not know what is happening on the workshop site. Each position only needs to perform its duties and manage its own production line, and the reported information can only be communicated layer by layer through phone calls or reports. In the absence of production lines, Complete feedback. It is difficult for managers to make judgments from a global perspective, and tunnel vision greatly affects the accuracy of business decisions.
The AIRIOT Internet of Things platform under the military-industrial state-owned enterprise Aerospace Technology Holding Group Co., Ltd. integrates the CJ Cloud platform developed by Shanghai CJ Cloud Intelligent Technology Co., Ltd. to provide discrete manufacturing companies with digital and intelligent overall solutions, from raw materials entering the factory to From the flow of workers and equipment to the entire process of products leaving the factory, the progress, quality, efficiency, cost, etc. in the production process are recorded and controlled .
Internet of Things technology enables data interaction and integration between different equipment and different scenarios in the manufacturing industry
In the past, most factories adopted the "one workshop, one function" model, with each process separated and lack of connection between different functions. A large workshop after renovation has integrated multiple functional departments, and different functional departments are connected through the Internet of Things technology. When the equipment completes the process, it will send out a message and call the AGV system through the application platform. Based on the judgment, the robot will send the product to the next process for processing. When the last process is completed, the robot will send the product to the warehouse for shelving.
The digital transformation of discrete manufacturing can be understood as the introduction of "order" into the loose and disordered discrete manufacturing process, so as to achieve close cooperation between various production factors and production links. The underlying basis of this "order" is to realize the realization of different equipment, Data interaction and fusion between scenes .
The AIRIOT IoT platform data collection and control engine has core capabilities such as massive driver access, distributed clusters, high stability, data interface integration, and linked alarms. It provides a powerful data base for Caijian Industrial Internet solutions to meet security requirements. Reliable equipment access, application development, configuration services, operation and maintenance management, data statistics and analysis and other functions help solve the problems of on-site equipment interconnection and data collection in the workshop, and store the cleaned data for development and recall. Combined with Caijiang Cloud, a low-code development platform for industrial applications, the collected data can be managed uniformly through the data cloud warehouse, improving the real-time, accuracy and comprehensiveness of data collection, and sharing information and data from various departments and factories to comprehensively Break down data barriers in various departments and achieve comprehensive integration of production and management data.
customer case
CJ-Cloud and the AIRIOT Internet of Things platform built an intelligent manufacturing system for a material factory in Inner Mongolia , breaking the information silos under traditional management, realizing centralized data management, control and sharing, and establishing a CJ-Cloud cloud and equipment interconnection platform to reduce human operations. Frequency, achieve accurate accounting of standard costs, and provide real-time monitoring and abnormal warning for the company's operating status. At the data application level, it provides comprehensive cross-business, cross-system, and cross-year drill-down analysis of enterprise data, analyzes the causes of problems layer by layer, and gets to the root of the problem.
This intelligent manufacturing system covers applications such as digital twins, industrial equipment IoT, production collaboration, smart warehousing, and supply chain collaboration . Based on the Caijiang low-code platform, through visualization, drag-and-drop, and modularization, it is possible to quickly build applications at low cost and respond to the needs of different businesses, and perform rapid deployment and delivery according to customers' personalized customization needs.
Through the implementation of the Caijian Industrial Internet platform, it helps enterprises to connect business management, supply chain and upstream and downstream data, and realize data interconnection and interoperability in production, quality inspection, warehousing, equipment, energy and other links. By making the production process transparent, standardizing quality inspection management, scientific equipment management, digitalizing warehouse management, efficient supply chain management, refined energy management, and intelligent auxiliary decision-making, production efficiency and quality will be greatly improved .
At the same time, the AIRIOT visual configuration engine capability is used to present the layout of factory equipment and facilities and industrial processes in the form of visual configuration, and display the collected key parameters of equipment operation in real time. Combined with the capabilities of the AIRIOT data analysis engine, the collected data can be analyzed in real time, and the data can be analyzed from different dimensions using data views .
Equipment operation cockpit
AIRIOT IoT platform supports seamless connection with mainstream digital twin platforms to achieve strong interaction, establish real-time mirroring of equipment, people, materials, and goods in digital space, and present real-time material trajectories, machine tool operator animations, and real-time production status in 3D visualization. Changes, real-time working status of machine tools and other real-time, accurate and comprehensive business data and trends, what you see is what you get.
digital twin
The AIRIOT Internet of Things platform data collection and control engine connects the Internet of Things gateway to field equipment, collects field equipment data in real time, and promptly uses the communication function of the gateway when problems are discovered to establish a data channel with field equipment through the AIRIOT Internet of Things platform, that is, to realize the equipment's Diverse remote control functions such as remote maintenance, remote debugging and program downloading.
remote control
With the demand for high-quality development, more and more head manufacturing industries have increasingly strict requirements for quality traceability. Quality management requires tracing back to what the equipment is doing, whether it is turned on, and how the equipment is operating. It even requires quality management to be traced back. Operating parameters during processing.
Based on the AIRIOT Internet of Things platform, Caijiang Industrial Internet Solution provides a quality management system that can collect and record data in the production process in real time, solve quality control problems in the production process, and help companies achieve standardized quality that can be traced throughout the product life cycle. Control. The system integrates a variety of quality inspection solutions for multiple business processes in the manufacturing process, including R&D, procurement, production, and sales. The quality information flow can cover all elements of human, machine, method, material, environment, and testing to build a complete product quality system. Traceability system. At the same time, combined with the visual configuration engine of the AIRIOT Internet of Things platform, which has screen review capabilities, companies can play back the data in the production process in real time and restore the production scene. These data can be combined with AI algorithm models to realize data analysis and processing, optimize the processing process, and form a complete product tracking and quality tracking system. Through strict control and supervision of each link, the reliability of product quality is ensured, thereby improving production efficiency and making production more transparent, efficient and reliable.
Conclusion
The AIRIOT IoT platform provides a digital base for the digital transformation of the discrete manufacturing industry , enabling collaborative manufacturing, process tracing and information sharing of production management in the discrete manufacturing industry, further promoting the digital and intelligent development of the manufacturing industry, and enhancing the competitiveness and competitiveness of enterprises. Production efficiency brings broader development space for the manufacturing industry in the new era.
