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Intelligence creates new user value Intelligent manufacturing is a concept of how to complete the manufacturing process. Smart manufacturing can add more intelligence to the overall manufacturing process, including the single enterprise and the supply chain, so that the entire manufacturing system can be at the right time, choose a more appropriate and efficient method to complete the intended work or properly handle the emergency. situation. In the manufacturing system, intelligence comes from field experts, experienced engineering and management personnel, and may also come from the long-term operational experience of the production line and the improvement of the manufacturing process. To obtain these experiences and results, you first need to extract a large amount of data, and then give the format and meaning to make the original data into useful information. Finally, after systematic analysis and extraction, it becomes knowledge and intelligence that can assist the operation of the manufacturing system. .
In the past, business and factory managers had to spend a considerable amount of time and high costs to obtain a small amount of manufacturing knowledge and intelligence. Now through the Internet of Things, and with cloud computing, massive data analysis applications, manufacturing systems can obtain more full and real-time data at a lower cost, and transform it into manufacturing intelligence that facilitates production and enterprise operations.
The Internet of Things enables wide-ranging and deep-linking of people, manufacturing processes, and data in the manufacturing system, and further produces the following new values:
1. With the help of various sensors commonly installed in manufacturing systems, people's understanding and mastery of plant operations and supply chain processes will be greatly improved.
2. The Internet of Things in the manufacturing system enables people to obtain real-time and correct information from the right equipment and equipment, suppliers and distributors, equipment maintenance partners, and other channels, which will greatly help improve business efficiency.
3. Combine the Internet of Things, mobile devices and diversified data display software to enable people to conduct real-time information retrieval from various locations, including equipment usage status, production efficiency, equipment operation alerts, etc. This allows managers to be more effective Management factory.
4. To increase people's understanding and mastery of plant operations and supply chain processes, which are benefits of the first phase of IoT application. When the scope of use of the Internet of Things is gradually expanding, by integrating various data link devices into the plant operations and business management software programs, companies will be able to grasp key information more quickly and respond more quickly and respond more easily. Large-scale market demand and changes. In addition, machine-to-machine (M2M) communication capabilities can also increase the level and breadth of automation.
5. The Internet of Things enables various devices to link and exchange information with each other. As various sensors, actuators, cameras and cameras, and RFID readers are added to the Internet of Things, companies can obtain a large amount of data from the manufacturing system. This data is then analyzed through Big Data, which will enable companies to extract wisdom that will help increase manufacturing efficiency and improve operational capabilities.
Airbus Group: Enhancing Process Quality with Smart Tools Large-scale aircraft assembly is a complex but cumbersome manufacturing task. In order to ensure quality, the European Airbus Group's manufacturing facility in Filton, UK, requires the use of specific tools for different processing stations and workpieces. In the past, it took a great deal of time each day to register 30 workers and arrange for the tools needed to use the same day process. Now, after integrating a large number of RFID tags, data readers, and the Internet of Things, the new tool management system automatically verifies worker identities and arranges the necessary tools for each station. At the same time, when the tool is close to the date that needs to be recalibrated, the system will automatically issue a reminder.
During the assembly process, 400,000 points of an aircraft need to be locked, and more than 1,100 different tools are needed to complete these tasks. In order to increase the efficiency of aircraft assembly, it is necessary to design smarter locking tools and more convenient data input and quality control tools. Therefore, the Airbus Group is developing smart tools that can be applied to various processes such as drilling, measurement, quality control data records, and locking.
These new smart tools can visually understand the environment in which the process is completed, and automatically perform tool performance checks and verifications. The intelligent drilling tool also has the following functions: confirming the type of material to be drilled; updating the drilling condition for each material layer; monitoring the drilling depth; recording the drilling result of the current position; monitoring the health status of the drilling tool. New smart measurement tools can re-read accepted measurements from the database; check that the measurements are within a defined range of values; record measurement results and provide follow-up activity suggestions if necessary. The intelligent quality control data record tool can interact with humans through finger sliding, eye tracking and sound control, as well as record measurement results and provide follow-up activity suggestions when necessary. The intelligent lock tool can set the appropriate torque/speed/angle according to the working position; display the torque when locking; record the torque value when locked to the manufacturing execution system (MES) or enterprise resource planning system (ERP) Within the database.
In order to develop smart tools, Bosch, TechMahindra, Cisco, and National Instruments have started promoting the Industrial Internet Consortium's Track & Trace Testbed program in February 2015. The goal of this program is to enable a new generation of industrial power tool to automatically understand the work to be performed and achieve the highest quality and efficiency standards in the associated manufacturing system. The tracking and traceability test platform plan hopes to test the effects of IoT-related technologies and systems in a controlled real-world manufacturing environment, while at the same time clarifying new requirements and nurturing new products and services. The smart features that the power hand tool tracking and traceability test platform program hopes to achieve include determining the location of each tool within the factory, detecting where the tool is used, and confirming that the operator is fully trained to use the tool ( That is, the identity and skills of the verification tool user). Its ultimate goal is to ensure that tools are used safely and efficiently, and that more efficient in-plant workflows can be identified through the use of data such as tool location and usage patterns. This plan will enable the company to have the following benefits in the use of power hand tools in the future: automatic monitoring and analysis of the safety of key work procedures; automated tool status and availability monitoring and management; automated quality control in the early stages of the manufacturing process; Make sure that the tool is used correctly and properly.
Significance for the development of China's Internet of Things industry Airbus Group's development and application of smart tools are just a few examples of smart manufacturing applications based on the Internet of Things. This case shows that simply integrating sensor, IoT, and process tools alone can significantly increase the transparency of tool usage information and become an important basis for improving work efficiency and quality, and at the same time improve tool use and management capabilities.
For China's IoT industry, because of the different characteristics of individual industries in the manufacturing industry, it is not easy to provide a universal solution for IoT and smart manufacturing, but it is possible to begin by solving the common problems facing the manufacturing site. And propose solutions that can improve the problem:
1. Improve the visualization of plant operations The sensors collect environment, machine equipment, important components, raw materials and products in the factory, and the real-time status data of personnel at all levels and transmit them to the required personnel and systems through the Internet of Things to help them be more efficient and effective. The production of high accuracy and real-time decisions needed to produce factories and businesses.
Second, to improve the automation of factories and enterprises The current status of most companies and factories is that although individual devices and systems have been automated to varying degrees, but because of the lack of horizontal information between different devices to form an information island. This also limits the degree of automation and breadth of plant and business operations. Through the Internet of Things, environmental control equipment, machine equipment, important parts and components, raw materials, and products within the company and the factory can form vertical and horizontal information networks. In conjunction with related manufacturing and management software systems, various automation functions can be enabled. Radiated to a wider range, so that the operating efficiency of factories and enterprises can continue to increase.
In the development of smart manufacturing application solutions, because it involves the process equipment, IoT architecture and application service system, it must combine professional capabilities in different fields. The tracking and traceability test platform plan that Bosch and other companies are currently working on is the best example. In other words, if the Internet of Things industry develops intelligent manufacturing application solutions, it can build a complete, cross-domain professional capabilities through corporate cooperation or alliances, and will have the opportunity to build business value faster and more smoothly. Technical solutions and products. In addition to integrating the professional capabilities of various companies, how to select appropriate manufacturing industries in China to construct and validate smart manufacturing application solutions through similar experimental fields in the traceability and traceability test platform plan is an important step in the development of the Internet of Things industry. .
Intelligent manufacturing reversing new manufacturing thinking from technological innovation to process innovation
Through the Internet of Things, coupled with cloud computing, and massive data analysis applications, manufacturing systems can obtain more full and real-time data at a lower cost, and translate it into manufacturing intelligence that facilitates production and business operations. Taking the aircraft assembly as an example, more than 1,100 different tools are needed to complete the 400,000-point locking work. In order to increase the efficiency of aircraft assembly, Airbus Group and Bosch and other companies have combined sensors, IoT and process tools to create new smart tools and application systems; these tools can significantly increase the transparency of the use of tools and become important for improving work efficiency and quality. The foundation can also improve tool use and management capabilities. In the analysis of this case, IEK thinks that for the IoT industry, we can improve the visualization of plant operations, increase the automation of factories and enterprises, and start from the problems that can be solved at the manufacturing site. Improve the solution to the problem.