Training Experience of Industrial Data Management in Guizhou Province
Release time:
2023-03-04
In the information age, enterprises need to combine their own reasonable situation, make efficient use of advanced information technology, promote enterprise management optimization to strengthen the construction of their own information management system, promote the sustainable and healthy development of enterprises, and accelerate the pace of digital transformation under the epidemic, which also makes relevant enterprises face new challenges. In this context, Huang Ping Jianfeng relied on the scale advantage of the cement industry in the early stage of its construction, took the opportunity of improving basic management, relied on modern information technology tools, and built an intelligent cement production plant with the help of the intelligent integration of "software and hardware Internet AI" , and made the cement production including the central control operating system and various businesses fully realize digital system integration, we have built an information architecture with DCS system, ERP system and MES system as the core and other auxiliary systems as the auxiliary. Since
was put into production in 2020 , Huang Ping Jianfeng has also been continuously exploring digital and intelligent related work. On the basis of realizing economic benefits, it can finally realize an intelligent factory with digital resources and mining environment, intelligent technical equipment, visual production process control, networked information transmission, scientific production management and decision-making. Through learning the excellent cases of Guizhou Xijiu Group, Panjiang Civil Explosion Group and Xingren Denggao New Materials, I have seen and learned the good practices and experiences of other units. Compared with the implementation status of digital and intelligent control in our enterprises, I think Huang Ping Jianfeng still needs to improve and strengthen the digital and intelligent control of factories in many aspects such as system, equipment, procurement, marketing, personnel management, employee skills and safety management.
In the information construction work, there will be a large amount of data generated in each link, although we have relevant information systems as a means of management and analysis, but the concept of data identification and analysis is relatively vague, resulting in our subsequent data management and maintenance is relatively weak. Through two days of study and training, I have a further understanding of the identification principles, identification methods and identification processes of important data and core data in the industrial field. I have a direction and method for the development of enterprise data management work, and have also strengthened the learning of data management capability maturity evaluation model, data security capability maturity model and enterprise big data empowerment. In the subsequent work, I can also evaluate the data management and security capabilities based on the actual situation of the enterprise, and improve the deficiencies in the data management work, which can better escort the digital transformation of the enterprise, and continue to assist and promote the intelligence of the enterprise. The advancement of automation level construction. (Pan Chaochun)
More information
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Daye Peak passed the intellectual property management system certification.
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Group Party Committee to Learn the Spirit of the Sixth Plenary Session of the 19th Central Committee
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