Big data is deeply integrated into the industrial field, promoting the digital transformation and upgrading of enterprises
Release time:
2019-09-18
Currently, promoting the deep integration of manufacturing and the internet, accelerating the construction of a powerful digital nation and a powerful manufacturing nation has become a new direction for people from all walks of life to work together in this new era. The trend of deep integration of the internet, big data, and artificial intelligence with the real economy is gradually emerging, and it has become an undeniable fact that high and new technologies are promoting the development of related industries. As one of the high and new technologies, big data is playing an increasingly important role in people's production and life.
With the continuous maturity of big data technology, its application fields are also continuously expanding. At present, big data has been applied to many fields such as medical care, transportation, finance, and catering. Among them, the application of big data in the industrial field is constantly deepening, promoting the transformation of traditional industrial production methods and improving production efficiency, and accelerating the transformation and upgrading of traditional industrial models towards intelligence and automation.
Entering a new period, enterprises engaged in industrial production and sales are facing the urgent need to transform and upgrade to intelligence and digitalization, and the mature application of big data technology makes this transformation trend increasingly obvious.
Currently, users' demand for industrial products is becoming increasingly diverse, which prompts enterprises to produce more diversified products. Factors such as rising labor costs, rising raw material prices, shrinking profit margins, and increasingly fierce competition among peers all require enterprises to keep a close eye on market dynamics and use technologies such as big data to achieve growth and transformation.
In the traditional industrial production model, there are still some problems to be solved. For example, the connection between product research and development and actual production is not smooth enough, and the sharing of data information in the product production process is not timely and accurate enough. At the same time, manually counting orders, equipment, and other related information is time-consuming and inefficient, while using big data and other technologies can effectively solve these problems.
Compared with the traditional industrial model, using big data, the Internet of Things, and other technologies can make enterprises more compliant with the requirements of standardization, standardization, and refinement in industrial production, which is very beneficial to the entire industry's technological improvement and profit increase. The impact of big data technology on the production and sales processes of industrial enterprises is mainly reflected in the following aspects.
In terms of industrial product marketing, through data analysis using big data technology, enterprises can provide targeted sales and directional R&D services, making the production and sales structure more reasonable.
In terms of remote fault diagnosis of equipment, big data technology can predict the time when equipment may fail, provide solutions to avoid risks, reduce losses to users caused by equipment failures, and ensure stable operation of equipment. At the same time, using big data technology to monitor the energy consumption of key equipment can promptly discover problems in the production process and improve the production efficiency of the equipment.
In terms of energy saving and efficiency improvement, through data analysis and statistics, enterprises can achieve reasonable investment of personnel and financial resources, achieve efficient control of the entire production process, and thus achieve the purpose of saving resources and reducing waste.
In addition, using big data technology to detect product quality helps various production departments to efficiently control product quality, promote product quality improvement, and long-term benefit growth.
Without modern technology, there is no modern industry. In the future, as big data is deeply integrated into the industrial field, traditional enterprises will continuously improve production efficiency, achieve digital transformation and upgrading, and more high-quality industrial products will enter the market, which will promote the development of China's modernization!
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