The interconnection and sharing of data can produce the greatest value to the industry, otherwise it will increase the cost of digital transformation. On this basis, it is also necessary to ensure the security and credibility of data. The workshop mainly includes guests from Europe, Japan and China. These countries are mainly manufacturing and industry-oriented. It is of great value to these countries to formulate industrial data standards, frameworks and interconnection bases in the industry.

At present, industrial data has become an essential productive factors, which is the key to promote the digital, networked and intelligent development of manufacturing industry. Exploring and building a credible industrial data space is not only an effective means to promote the sharing and circulation of industrial data in a wider range, more fully and orderly, but also an important way to stimulate the value of data elements and expand the multiplier effect of data productivity. We suggest that all parties should further build consensus and promote cooperation, actively create a data governance ecosystem with data innovation as the link, and improve the ability of data circulation and sharing with the goal of openness and coordination.

All we need to build data space is there, let’s just do it.

The trusted industrial data space based on consensus requirements, standards and management tools has the basic functions of trusted operation environment, use control, identity authentication, classification and grading, smart contract and trusted transmission. It is a data management and control system and value ecosystem covering the whole life cycle of data. It is a new infrastructure to realize the efficient configuration of data elements.

The Asset Administration Shell (AAS) implements the Digital Twin for Industry 4.0 for Greater Digital Value Creation

CIOF (Connected Industry Open Framework) is a platform to enable data sharing, distribution and trading between manufacturing units based on contract. This solution was developed by IVI, verified by several use cases of member companies and released as a commercial product.

The equipment value has developed from the traditional equipment ontology value to the new value system of “physical equipment (ontology value & service value) + data assets”.

Digital Twin applications should become as soon as possible Autonomous Digital Twin, a new concept where the digital objects, receiving real time data and providing real time actions, is able to direct interact with real objects without human supervision. This concept introduces the possibility to find the best scenario in the digital world using multiple strategies based on artificial intelligence, and directly apply it in the real world. Human body will be the new frontier of Digital Twin. Having wearable devices and different sensors on the human body allows to collect a large quantity of data that can be used not only to check people health, but also to test treatments in digital way and instantly verify how they work before giving them to the patients.

Under the background of industry 4.0, manufacturing mode will usher in significant changes, and model-based manufacturing will become the mainstream. Data asset models are model-based manufacturing enablement techniques.

To construct digital economy system in traditional fields, “objects” with strong industry attributes must be taken as data anchor points. Industry digital asset operators are key players in exploring new systems, new models and new formats of digital economy in traditional fields.