For a long time, coal, as an important part of China’s national economy, has always been the “ballast stone” of energy security and stable supply, and the “stabilizer” of energy structure adjustment and transformation development. In recent years, with the continuous development of eliminating backward production capacity and promoting the optimization of production structure, the transformation and upgrading of the coal industry has made substantial progress. Especially in today’s deep integration of the new generation of information technology and the coal industry, accelerating the intelligent construction of the coal industry has become the only way and inevitable choice to achieve high-quality development.
In line with the needs of intelligent innovation and development of the coal mining industry, Huawei Coal Mining Corps is also committed to “reconstructing intelligent mining and creating new value of coal”, and sharing industry data, capabilities, knowledge, talents and platforms through unified standards and unified architecture. And under the premise of “safety”, truly achieve efficient and intensive intelligent development of coal mines.
Under the goal of “double carbon”, the intelligent construction of coal mine still faces challenges
The proposal of the “double carbon” goal is bringing about a wide and profound economic and social systemic change. To a certain extent, this trend will also force the coal industry to speed up the green low-carbon transformation and accelerate the realization of high-quality development, so that the coal industry has become more urgent for how to accelerate scientific and technological innovation and industrial transformation through intelligent construction. Not only that, the continuous advancement of mechanization, informatization, automation and intelligence in coal mines has also continuously improved the safety level of coal mines, and the safety situation in production has continued to improve steadily. As the biggest challenge in the coal mining industry, to solve the safety problem, we must first start from the safety architecture, management procedures and operational norms, which is undoubtedly inseparable from the application of platform and digital technology.
However, in the coal mine intelligence into a new stage of comprehensive acceleration, in order to achieve coal mine production “safe, few people, no one, efficient”, to achieve the green low-carbon transformation of the coal industry, for the future to achieve the “double carbon” goal to lay the foundation, we also need to solve the following challenges: such as the lack of industry standards. In the process of intelligent construction of coal mine, due to the lack of standard system to guide informatization and intelligent construction, various information systems of enterprises can not interconnect, data sharing and flow are not smooth, not only can not play the due value of information systems, but also cause difficulties in system upgrading and evolution. Various production equipment interfaces are not uniform; The problem of data island is prominent; The safety of coal mine network system and production equipment needs to be improved. Nowadays, coal mine network system and production equipment bring convenience to the production of enterprises at the same time, all the time receive threats from the network hardware equipment, software systems and information, network service security, reliability and continuity, is also the top priority to ensure the safety of coal mine production.
It can be seen that the current challenges faced by the intelligent construction of coal mines are, on the one hand, because different systems from different manufacturers have their own data systems and business logic, resulting in system linkage and coordination difficulties; On the other hand, the coal mining industry lacks an industry-wide unified standard and specification system, which is difficult to support the future intelligent innovation and development of the industry and the realization of the “double carbon” goal.