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Digital or "Industry 4.0" weighing and mixing system at the production site


source:[Gravimetric blender]   release time:2021-03-04 10:58:36





Digitization of production sites or "Industry 4.0" has become a common factor in business and industry. The next step in this general trend is called "industrial intelligence."
I start with the term "Industry 4.0". In Industry 4.0, on the basis of precise analysis, production and logistics processes are subdivided into digitized sub-processes. Such techniques are used, for example, to create a network of production sites. Compared with other methods, production sites in such networks can plan and deploy resources more effectively. In this way, they can also better adapt to changes in the order situation.
The key foundation for creating a networked production site is the Internet of Things. In a smart factory, various devices have been connected to the Internet. They will communicate automatically. So far, so good. But what does this have to do with industrial intelligence?
Industrial Intelligence-The Successor of Industry 4.0
The "4.0" in "Industry 4.0" tells us that we are talking about the latest industrial revolution. Industry and technology are constantly changing and developing. Therefore, we know that something will happen after Industry 4.0. But this is where "industrial intelligence" comes into play. Not only at the Hannover Messe, industrial intelligence is considered a popular candidate for the successor of Industry 4.0.
For example, the more popular ones: intelligent robots, central feeding systems, dehumidification and drying systems, weighing and mixing systems, etc., will all have entered industrial intelligence!
Industrial intelligence refers to the use of artificial intelligence (AI) in industry. Especially to use "weak AI". Weak AI enables the machine to perform certain well-defined tasks by giving the machine narrow human-like capabilities. Tasks such as speech recognition or image recognition. In the industrial environment, the development of weak AI is especially focused on equipping machines for processing large amounts of data and designing complex machine processes.
This complex process may include maintenance procedures. In industry, any machine failure or production downtime is expensive. Therefore, predictive maintenance now plays a vital role.
Industrial Intelligence in Service
Predictive maintenance involves the use of artificial intelligence. The integrated sensors in the machine can generate large amounts of data. With the help of AI systems, their data is increasingly being evaluated. Once the machine exceeds the defined parameters or thresholds, such systems will warn the operator. In this way, they can prevent machine breakdowns.
We should also note that the real-time transmission of large amounts of data required for predictive maintenance processes requires excellent network connectivity. And have appropriate cloud-based computing capabilities. A campus network is a computer network used in a limited geographic area, such as an area occupied by a factory or industrial park. Such networks are already serving new applications, such as automated networked vehicle systems that transport materials throughout the production site. In the future, the industry will be able to further realize process automation through the combination of 5G campus network, cloud and artificial intelligence.


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