During this year’s National Two Sessions, the high-quality development of the manufacturing industry has become a focus of much attention, and representatives from various fields have actively made suggestions for the transformation and upgrading of the manufacturing industry.
Among them, Xiaomi Group Chairman and CEO Lei Jun focused on “smart manufacturing” and specifically mentioned three suggestions:
First, promote the integration and innovation of advanced intelligent technology and manufacturing industry, and accelerate the deployment of large industrial models;
The second is to improve the construction of the standard system and explore the “Chinese paradigm” of intelligent manufacturing;
The third is to support leading enterprises in undertaking major intelligent manufacturing projects and researching key technical equipment.
In fact, smart manufacturing has continued to gain popularity in recent years. In the context of a new round of technological revolution and industrial transformation, manufacturing companies in various subdivisions are actively introducing advanced technologies such as 5G, Internet of Things, cloud computing, artificial intelligence, and sensors, and integrating them into various production and operation processes of the manufacturing industry to achieve Self-perception, self-learning, self-analysis, self-decision-making, self-reasoning and self-execution, etc., thereby improving the quality, efficiency and flexibility of the manufacturing industry.
Compared with smart manufacturing, traditional manufacturing requires a lot of human control and the collaboration process is complicated, resulting in a series of problems such as untimely on-site information feedback, uncontrollable waste of production resources, untimely response to abnormal conditions, opaque production processes, and difficulty in traceability of production quality. question.
Faced with the above-mentioned problems, intelligent manufacturing endowed with various digital technologies is reshaping the manufacturing method of the manufacturing industry, which can save labor costs, optimize resource allocation, monitor dynamic data in real time, and simplify complex production processes. etc., effectively improving the efficiency and effectiveness of production and manufacturing.
Image source: generated by Doubao AI
As the foundation of my country’s real economy, manufacturing is the lifeblood of the country’s economy and an important area in building a modern industrial system. Therefore, the country attaches great importance to the high-quality development of intelligent manufacturing and has proposed national strategies such as “Made in China 2025” and “The 14th Five-Year Plan for Intelligent Manufacturing Development” to promote the integrated development of manufacturing and new generation information technology.
At present, my country’s intelligent manufacturing is entering a stage of prosperity and development. According to data from the Ministry of Industry and Information Technology, as of July 2023, my country has built more than 2,500 digital workshops and smart factories with intelligent manufacturing capability maturity level 2 or above. The product development cycles of these demonstration factories have been shortened by an average of 20.7%, and the production efficiency has averaged It has increased by 34.8%, the defective product rate has dropped by 27.4% on average, and carbon emissions have been reduced by 21.2% on average.
In addition, according to the forecast of the Qianzhan Industry Research Institute, by 2027, the market size of my country’s intelligent manufacturing industry will reach 6.6 trillion yuan, of which the market size of intelligent manufacturing equipment will be approximately 5.4 trillion yuan, and the market size of intelligent manufacturing system solutions will be approximately 1.2 trillion yuan. .
As an important part of the digital economy era, intelligent manufacturing must be an important trend in the high-quality development of the industry. Promoting the high-end, intelligent, and green transformation of traditional manufacturing is an inevitable requirement to comply with industrial digitalization, new industrialization, and the construction of a modern industrial system.
So, from traditional manufacturing to intelligent manufacturing, how can my country’s manufacturing industry achieve the transformation and upgrading from “big” to “strong”? How to achieve a high degree of integration of people, machines and networks?
01
Sensor equipment: IoT sensors can monitor process parameters in the production process in real time in smart manufacturing systems, such as temperature, humidity, pressure, etc. By using temperature sensors and humidity sensors or other types of sensors to collect production environment data, it can Ensure real-time grasp of product quality status, and through analysis and machine learning of these data, optimization and prediction of intelligent manufacturing can be achieved, helping companies improve production efficiency, reduce costs, improve quality, etc.
02
Communication positioning technology: In the field of intelligent manufacturing, communication positioning technology plays the role of “eyes”. By providing accurate location information and real-time data, it supports multiple key applications and improves the intelligence level of the entire manufacturing process. Specifically, communication positioning technology can realize real-time positioning and tracking of machinery, equipment and items, making the production process more transparent and controllable; in addition, in automated production lines, robots also need to accurately position themselves for effective navigation and paths. Planning ensures accuracy and efficiency in material handling, assembly and other tasks.
03
Security monitoring equipment: The use of security monitoring equipment can monitor the production environment of smart manufacturing factories in real time, promptly discover potential safety hazards, such as fires, gas leaks, etc., and through timely warning and disposal, avoid or reduce the occurrence of production accidents and protect the production line. It is like the “patron saint” of smart manufacturing in terms of normal operation and the personal safety of employees. In addition, analyzing and optimizing the data collected by monitoring equipment can help companies optimize work processes and improve production efficiency.
04
RFID equipment: As the “ID card” and “card reader” in smart manufacturing, RFID equipment can realize intelligent management of items and production processes in the manufacturing process. For example, through RFID tags attached to products or materials, their location and status can be quickly and accurately identified and tracked; RFID readers can automatically read tag information and integrate it with other systems to achieve automated production. Process and logistics management. In addition, RFID technology can also be used in quality control, asset management, etc. to improve the transparency and controllability of the production process.
05
Cloud computing platform: The cloud computing platform integrates data from different sources and types such as production data, product information, equipment status, etc. to achieve centralized management and rapid sharing of data. Moreover, the cloud computing platform has big data analysis capabilities, which can conduct in-depth analysis of the collected data to help enterprises optimize production processes and help enterprises make more accurate decisions and management. In short, the cloud computing platform is equivalent to the “super brain” in intelligent manufacturing, making the manufacturing process more efficient and intelligent.
06
AI +: Applying AI technologies such as image processing and machine vision algorithms to automatic detection and control of product quality can achieve real-time detection and defect analysis of products, significantly improving production efficiency and quality. In addition, AI technology also plays an important role in product design and innovation. Through technologies such as machine learning and simulation models, it can help companies accelerate product development cycles and analyze market trends and customer needs to provide innovative products that meet market needs. Enhance the competitiveness of enterprises and promote their sustainable development.
Obviously, in the field of intelligent manufacturing, various IoT technologies and applications are gradually becoming key factors in the upgrading of intelligent manufacturing, and have a positive impact on the production efficiency, product quality, resource utilization, safety and other aspects of intelligent manufacturing. In the future, with the continuous development and innovation of more intelligent technologies, intelligent manufacturing will usher in a broader development space and bring more economic and social benefits to enterprises and society.
This paper is from Ulink Media, Shenzhen, China, the organizer of IOTE EXPO (IoT Expo in China)
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