Under the background of the rapid development of Internet of Things technology + industrial Internet, the management concept of the manufacturing industry has been continuously upgraded, and the level of digitalization and intelligence is also rapidly improving. Especially for discrete manufacturing, intelligent means can solve many problems in the traditional management process:
•Data fragmentation: A large amount of enterprise data stays in discrete systems and does not form a unified data standard. Some data is still stored in traditional ways such as reports and paper. The data source is not unique, some data is inaccurate, the underlying collection is incomplete, resulting in in-depth mining, manual correction of data is more common, some application systems cannot play their due role, and the data link of big data to support production and operation cannot be formed.
• Incomplete digitalization: ERP is the core of production management of manufacturing enterprises, but many factories find that after completing routine work, front-line employees have to manually update business data after completing routine work, which not only increases the workload, but also cannot guarantee the real-time and accuracy of data, and the data isolation between systems forms a functional wall.
• Information island: In the production workshop, the manager does not know what is happening on the workshop site, each position only needs to perform its own duties to manage its own production line, and the reported information can only be conveyed layer by layer through telephone or report, lacking the complete information feedback of the production line. It is difficult for managers to make judgments from a global perspective, and the tunneled vision greatly affects the accuracy of business decisions.
The AIRIOT IoT platform under the military industry central enterprise Aerospace Science and Technology Holding Group Co., Ltd. integrates the CJ Cloud cloud platform developed by Shanghai Talent Craftsman Intelligent Technology Co., Ltd. to provide discrete manufacturing enterprises with digital intelligence overall solutions, running through the whole process from raw materials entering the factory to workers and equipment to forming products leaving the factory, recording and controlling the progress, quality, efficiency and cost in the production process.
IoT technology realizes the integration of data interaction between different devices and different scenarios in the manufacturing industry
In the past, most factories adopted a "one workshop, one function" model, where various processes were fragmented and there was no connection between different functions. After the renovation, a large workshop integrates multiple functional departments, and different functional departments are connected through Internet of Things technology. When the equipment completes the process, it will send out information, call the AGV system through the application platform, and let the robot send the product to the next process for processing according to the judgment, and when the last process is completed, the robot will send the product to the warehouse on the shelf.
The digital transformation of discrete manufacturing can be understood as the introduction of "order" in the loose and disorderly discrete manufacturing process, so as to achieve close cooperation between various production factors and production links, and the underlying basis of this "order" is to realize the data interaction and integration between different devices and scenarios.
AIRIOT IoT platform data acquisition and control engine, with massive drive access, distributed clustering, high stability, data interface integration, linkage alarm and other core capabilities, provides a powerful data foundation for the industrial Internet solution, meets the functions of safe and reliable equipment access, application development, configuration service, operation and maintenance management, data statistics and analysis, etc., helps solve the problem of on-site device interconnection and data collection in the workshop, and stores the cleaned data for development and call. Combined with the industrial application low-code development platform Talent Cloud, the collected data is uniformly managed through the data cloud warehouse, improving the real-time, accuracy and comprehensiveness of data collection, sharing information and data of various departments and factories, comprehensively breaking through the data barriers of various departments, and realizing the full integration of production and management data.
Customer stories
Talent Maker Intelligent and AIRIOT IoT Platform built an intelligent manufacturing system for a material factory in Inner Mongolia, breaking the information island under traditional management, realizing centralized data control and sharing, establishing a CJ-Cloud cloud and equipment interconnection platform, reducing the frequency of human operations, realizing accurate accounting of standard costs, and providing real-time monitoring and abnormal early warning for the operation status of enterprises. At the data application level, it provides comprehensive penetration and drill-through analysis of enterprise data across business, system, and year, analyzes the causes of problems layer by layer, and directly addresses the root cause of problems.
The intelligent manufacturing system covers applications such as digital twin, industrial equipment IoT, production collaboration, intelligent warehousing, and supply chain collaboration. Based on the low-code platform, through visual, drag-and-drop, and modular methods, it can quickly build applications and respond to the needs of different businesses at low cost, and quickly deploy and deliver according to the personalized needs of customers.
Through the implementation of the talent industrial Internet platform, it helps enterprises to open up enterprise management, supply chain and upstream and downstream data, and realize data interconnection in production, quality inspection, warehousing, equipment, energy and other links. The production process is transparent, quality inspection management is standardized, equipment management is scientific, warehouse management is digital, supply chain management is efficient, energy management is refined, and auxiliary decision-making is intelligent, and production efficiency and quality are 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 a visual configuration, and the key parameter data of equipment operation is displayed in real time. Combined with the capabilities of AIRIOT data analysis engine, the collected data is analyzed in real time, and the insight data is analyzed from different dimensions by means of data view.
The device operates the cockpit
AIRIOT IoT platform supports seamless docking with mainstream digital twin platforms to achieve strong interaction, establishes real-time mirrors of equipment, people, materials, and goods in digital space, and presents real-time, accurate and comprehensive business data and situations such as real-time trajectories of materials, animation of machine operators, real-time changes in production status, and real-time working status of machine tools in a 3D visual manner.
Digital twins
Digital twins
The AIRIOT IoT platform data acquisition and control engine connects the Internet of Things with field devices, collects field device data in real time, finds problems and uses the communication function of the gateway in time, establishes a data channel with the field device through the AIRIOT IoT platform, and realizes diversified remote control functions such as remote maintenance, remote debugging and program download of the device.
Remote control
With the demand for high-quality development, more and more head manufacturing industries have stricter requirements for quality traceability, quality management requirements can be traced back to what the equipment is doing, whether it is turned on, how the equipment is running, and even requires quality management to be traced back to the operating parameters in the processing process.
Based on the AIRIOT IoT platform, the industrial Internet solution provides a quality management system, which can collect and record data in the production process in real time, solve the quality control problems in the production process, and help enterprises achieve standardized quality control with traceability throughout the product life cycle. The system integrates a variety of quality inspection solutions from R&D, procurement, production, sales and other business processes in the production and manufacturing process, and the quality information flow can cover all elements of man, machine, method, material, environment and measurement, and build a perfect product quality traceability system. At the same time, combined with the screen retrospective capability of the AIRIOT IoT platform visual configuration engine, enterprises 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, we ensure the reliability of product quality, thereby improving production efficiency and making production more transparent, efficient and reliable.
epilogue
AIRIOT IoT platform provides a digital foundation for the digital transformation of discrete manufacturing, realizes collaborative manufacturing, process traceability and information sharing of discrete manufacturing production management, further promotes the digital and intelligent development of the manufacturing industry, enhances the competitiveness and production efficiency of enterprises, and brings broader development space to the manufacturing industry in the new era.