The Values of Big Industrial Data

In terms of equipment efficiency, we need equipment automation;

In terms of waste of resources, we need a lean production concept;

In terms of data efficiency, we need knowledge automation;

In terms of data waste, we need a lean data view.

From the perspective of big industrial data, China's manufacturing industry is still in the dark gold age of data.

At the time, big industrial data is a pseudo-proposition in China's manufacturing sector.

It is at this moment that the relationship between data and knowledge is even more intriguing. In such an i-era, all businesses will come to realize the importance of data. But how to complete the liberation of data, release the data, still need to go through the "knowledge-ignorance" cognitive barrier, still need to rely on a lot of specialized knowledge. This is china's deep integration of the process of industrialization must be answered separately proposition.

If we ignore managers' insights and technically advertised genres, then all the propositions of the Industrial 4.0 era are actually only two: data and users. All the eye-barriers come from this.

The explicit, modeling and curing of industrial knowledge is the only way to crack the data barrier method