“By 2025, 70% or more of manufacturing enterprises will be basically digitalized and networked, and more than 500 smart manufacturing demonstration factories will be built to lead the development of the industry. Manufacturing enterprises’ production efficiency, product yield rate, energy resource utilization, etc. The maturity level of intelligent manufacturing capabilities has been significantly improved.” Not long ago, eight departments including the Ministry of Industry and Information Technology and the National Development and Reform Commission released the “14th Five-Year Plan for Intelligent Manufacturing Development”, proposing to promote digital transformation, networked collaboration, and Intelligent transformation and other measures.
As the main direction of building a manufacturing power, accelerating the development of intelligent manufacturing plays an important role in consolidating the foundation of the real economy, building a modern industrial system, and realizing new industrialization. Currently, the development of smart manufacturing in my country has shifted from the popularization of concepts and pilot demonstrations to a new stage of system innovation and deepened application. However, compared with the requirements for high-quality development of the manufacturing industry, there are still many problems such as high threshold for intelligence and weak innovation capabilities.
There is an urgent need for digital transformation in the traditional manufacturing industry
“Intelligence is just a means and a tool. No matter how advanced intelligence is, it needs to be integrated into the manufacturing entity to be effective, otherwise intelligence will just be “Castles in the air.” According to Li Peigen, director of the National Intelligent Manufacturing Expert Committee and academician of the Chinese Academy of Engineering, the development of intelligent manufacturing must be based on manufacturing, and manufacturing must be based on advanced processes and equipment.
Since the “13th Five-Year Plan”, China has made great progress in the development of intelligent manufacturing. The market satisfaction rate of intelligent manufacturing equipment exceeds 50%; traditional industries have gained new vitality, and the proportion of investment in technological transformation in industrial investment has increased to 47.1%. However, as users’ personalized needs increase day by day and brand competition becomes more intense, uncertainty has increased significantly. For traditional manufacturing companies, accelerating digital transformation has become an urgent issue.
In the process of promoting the intelligent transformation of the manufacturing industry, the integration of new generation information technologies such as AI has brought new opportunities. Manufacturing companies use increasingly mature AI technology to reduce costs and increase efficiency based on specific business scenarios, and achieve short-term verification and application of AI models. This is not only the first step towards intelligent transformation and upgrading, but also a step into the intelligent economy. One of the keys to enjoying AI dividends on the track.
For example, in industrial manufacturing companies, the quality inspection link accounts for about 40% of factory labor costs, and the quality inspection rate directly affects the company’s order growth. At present, relevant companies have taken the lead in trying to seek AI technology for quality inspection transformation. However, due to the lack of relevant talent and technology accumulation, the results have been unsatisfactory.
In addition, in the safety supervision process, many companies hope to improve their automated supervision capabilities by combining AI technology, but have not implemented it due to factors such as high customization difficulty and high deployment costs.
For many manufacturing companies, common problems such as high accuracy requirements for AI models, large amounts of data required, and a lack of experienced professionals have hindered their ability to leverage AI to achieve intelligent transformation.
How can enterprises enter the first door of intelligent upgrade by lowering the threshold?
Seeking cooperation with companies that have leading AI technology capabilities and are open source may be the way to break the situation.
As a high-tech enterprise that provides solution design, system integration and other services to manufacturing companies, Zhuhai Huachuang Intelligent Technology Co., Ltd. (hereinafter referred to as “Huachuang Intelligent”) is well aware of the pain points of quality inspection. During the inspection of solutions, they found that many technology manufacturers had high customization costs and it was difficult for the technology to meet expectations. By chance, Huachuang Intelligence learned that Baidu Feipiao Easy-DL zero-threshold AI development platform provides automated modeling of multiple business scenarios and allows application developers without algorithm foundation to successfully complete model training.
In the absence of professional AI algorithm engineers, Huachuang Intelligent took the mentality of giving it a try and used EasyDL to annotate and automatically train the model on the real data collected on the quality inspection pipeline, in order to achieve efficient model iteration. Afterwards, a high-quality AI model with an accuracy of up to 99% was finally obtained, which was seamlessly integrated into a third-party system to realize real-time detection of assembly line product accessories.
After taking the “reassurance”, Huachuang Intelligent helped the gas stove manufacturer build an assembly line accessories identification management system through Easy-DL, completing the closed-loop judgment of all assembly line products, and can work 24 hours a day without interruption. , Complete the quality inspection of accessories for all products, increase work efficiency by 30%, and improve product quality inspection quality by 80%.
In addition to production quality inspection, EasyDL has also been deeply involved in a series of scenarios such as manufacturing item sorting and packaging, process optimization, and equipment maintenance, helping to reduce costs and increase efficiency while expanding business possibilities.
When Jiangxi RuiShi Intelligent Equipment Co., Ltd. (hereinafter referred to as “RuiShi Intelligent”) investigated traditional textile enterprises, it was found that manual search for fabrics was slow and inaccurate, and fabric inspection also failed due to inconsistent standards. Uniformity leads to inefficiency. There are many types of fabrics and they continue to increase, and every detail will vary greatly. After trying some technical solutions, the company has been unable to solve problems such as slow model training speed and poor fabric quality inspection.
Under the recommendation of peers, RuiShi Intelligent first imported fabric pictures, created hundreds of fabric labels, and trained a fabric recognition model through the EasyDL platform. Unexpectedly, the training speed was greatly improved, and it was continuously introduced Pictures of new types of fabrics can also be quickly iterated and maintain an accuracy of over 99%. With confidence, RuiShi Intelligent developed a complete intelligent system based on EasyDL. As long as you click to take a photo, you can� You can obtain the different specifications, names, weights and other information corresponding to the fabric; at the same time, it can also accurately detect the number of fabric defects and mark their locations. The participants in the industry chain and the fabric testing information are carried out on the system in the form of “pictures and text” Circulation, fair evaluation, and efficient communication. “Easy to use, fast model training, and the ability to train models with good results with a small amount of data are the three major characteristics of EasyDL.”
The digital transformation of the manufacturing industry is a “required course” related to survival and development. . Flying Paddle EasyDL not only helps manufacturing companies take the first step in the absence of AI technology and experience, but also solves the current problem of an accessory, a piece of fabric or a production line; in the long run, the application of the technology behind it is essentially It is the continuous exploration of many industrial enterprises from extensive production to intensive farming, further focusing on the main business, strengthening innovation, and gradually extending to the entire industry chain. Intelligent upgrades will have a great impact on improving the quality and efficiency of the entire industry.
As our country’s economy enters a critical stage of high-quality development, and in the transition stage from product output to software and hardware output, the new generation of technology represented by AI has gradually become one of the core driving forces for industrial transformation, with Companies such as Baidu, the world’s leading AI technology company, are bringing new historic opportunities to China’s manufacturing industry.
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