He Xiaolong, deputy director of the National Industrial Information Security Development and Research Center: “The digital ability of industrial enterprises is constantly improving, the focus of enterprises from the data center to the final data flow and realization of the ability. However, the cooperation within the enterprise and between the upper and lower reaches is more and more dependent on various data platforms and data-oriented tools. However, some new pain points and sticking points have been formed, which mainly include four aspects.

First, there is an urgent need to break through the traditional data center. When facing complex objects or complex systems, there is no specific problem of such engineering methodology and tools. For industrial enterprises looking for digital transformation, the most important thing is how to manage the resources of the enterprise’s data elements, how to make the data elements generate value, and effectively serve the whole industrial process. But in practice, most of our industrial enterprises lack such data operating systems for dealing with complex systems and big data in different domains.

S21260-SRS

S21260-SRS

S21260-SRS

Second, industrial data urgently needs to form a data and resource pool with a wide range of sources and unified logical standards from the perspective of the global correlation of productivity factors, the logic of data and multiple correlations of our enterprises. The logical object of this kind of thing facing the organizational domain, functional domain, business domain and data domain of industrial enterprises, to establish its top-level model, as well as its sub-model up to the leaf level corresponding organization and processing model data. And they are globally unique coding identification, the formation of complex system reflects the organization of the domain, the function of the domain, the business domain, the data domain between the unambiguous, no hesitation, a single source of data production database of industrial enterprises.

Third, the lack of productivity database, industrial data is mainly collected by industrial scene control equipment, this data collection volume is huge, has strong continuity and correlation, some industrial protocol interconnection is a big bottleneck.

Fourth, the credible status quo of data security is in urgent need of change. Because of the high sensitivity of the value of industrial data business, enterprises are more obviously inclined to the operation and storage of data localization. The requirement for this kind of data security is extremely high.”