In order to further improve the autonomous operation and human-computer interaction ability of the underground intelligent coal mining face system and achieve the real unmanned mining realm, Professor Ge Shirong of China University of mining and Technology (Beijing) proposed the digital twin smart mining system The concept, architecture and construction method of workface, through the integration and application of 5g communication technology, Internet of things technology and bionic intelligent technology, build a digital twin remote operation platform of intelligent mining working face. The research on the technical framework of digital twin intelligent coal face was published on the network of coal Journal on April 13.
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Digital twin conceptual model of intelligent mining face
First of all, what is digital twin? Digital twin (DT) is a virtual model that creates physical entities in a digital way. It provides more real-time, efficient and intelligent operation or operation services for physical entities by means of virtual real interaction feedback, data fusion analysis, decision-making iterative optimization and other means. Digital twin must rely on two key elements, one is digital information, the other is virtual twin. For intelligent equipment, by constructing digital twin, it can not only reflect the characteristics, operation and performance of machine entity, but also realize machine condition monitoring, evaluation and health management in the form of surreality.
Digital twin technology framework of intelligent mining face
Digital twin smart mining face (dtsmw) is a three-dimensional image scene of high fidelity mining face with data visualization, strong human-computer interaction and process self optimization, including three parts: physical working face, digital working face and data information interaction.
At present, although the intelligent mining working face has reached the level of remote cockpit, it can start and stop the coal mining unit, and monitor the status, with full-automatic operation mode and semi-automatic operation mode. However, the future intelligent mining face still needs to study and solve the problems of insufficient equipment connectivity, insufficient information interoperability and poor human-computer interaction.
▲ operation platform of digital twin intelligent mining face
In this study, the new system of digital twin intelligent mining working face proposed by Professor Ge Shirong's team is to integrate Internet of things, 5g communication, cloud computing and other technologies into intelligent mining working face, create a precise virtual intelligent mining working face model, realize the high digitization and modularization of intelligent mining working face production and management, and provide a new platform for future independent operation, which will help to improve the quality of intelligent mining working face The ability of self perception and optimal control of pre intelligent mining face.
The technical framework of digital twin intelligent mining working face includes 10 key technologies, including physical working face, virtual working face, twin data, information interaction, model driven, edge computing, immersive experience, cloud service, information physical system, intelligent terminal, etc. In order to meet the future demand of unmanned mining and construct the digital twin intelligent mining face system, it is necessary to realize the intelligent bionics of the sensing elements of the mining face. These 10 key technologies must be integrated into five intelligent modules, namely, physical module, information module, communication module, control module and twin module, so that they have the bionic intelligent characteristics of mining operation.
▲ dtsmw information flow cycle model
Digital twin makes intelligent mining face realize "data-centric production", its accuracy and simulation depend on the amount of data accumulated by knowledge. The more data, the more accurate the simulation prediction of the digital twin model to the physical entity, the more accurate the performance prediction of the physical entity, and the greater the decision value. Therefore, it is no exaggeration to say that data information flow is the lifeline of digital twin.
For the first time, the complex information of intelligent mining face is classified into three information flows: environment information flow, control information flow and energy information flow, which are used to describe the environment, control and energy state of mining process. The environmental information flow and control information flow come from the input information and regulation information of coal and rock to shearer, hydraulic support and coal flow transport unit, and the energy information flow comes from the energy exchange state information generated by the mining equipment's regulation and control of coal and rock variables.
▲ information flow convergence diagram of intelligent mining face
In the face of huge information flow in intelligent mining face, this paper studies and puts forward a data main line (Digital thread) method to manage the information flow of digital twin intelligent mining face system. The data of information flow is divided into periodic data, random data and sudden data for modeling and processing, so as to ensure the data driving and stable operation of digital twin intelligent mining face. 　
Through comparative analysis, it is pointed out that the intelligence of the new system of digital twin intelligent mining face is one level higher than that of the existing remote centralized control center, which can provide a new monitoring system architecture for the unmanned operation of the middle intelligent mining face.
▲ digital main line and digital twin relation in intelligent mining face
Source:
Ge Shirong, Zhang Fan, Wang Shibo, et al. Research on technical framework of digital twin intelligent coal face [J]. Journal of coal science, 2020-04-14, DOI: 10.13225/j.cnki.jccs.zn20.0327
Edited by: Guo Xiaowei
Reviewed by: Chang Chen
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