|
|
1.INTRODUCTIONThe rapid development of computer technology has deeply affected the traditional coal mining industry. The use of advanced information automation technology and the latest technological achievements such as the Internet, big data, cloud computing, and artificial intelligence can build smart mines and promote the transformation of coal production methods1. This paper establishes a digital mine platform, which is based on advanced cloud computing technology, big data analysis technology and sensor technology to achieve efficient mine production, occupational health and safety, technical and logistical support2-3. 2.THE OVERALL FRAMEWORK OF THE DIGITAL MINE PLATFORMThe overall architecture of the digital mine platform as shown in Figure 1, which includes four aspects as follow:
3.CORE MODULEThe digital mine platform is a basic framework to collect sensor data by using the IoT technology4. The core module in the digital mine platform as shown in Figure 2, under the condition of heterogeneous and complex information resources, the coding identification of the basic information will be the basic units in the mine. The digital mine platform carries out standardized data collection for sensors, the Internet of Things realizes the deployment management between mining equipment and remote control5-6. The integration of heterogeneous resources and services invocation are the main goals in the digital mine platform. In order to form a broader industry integrated information service platform, the digital mine platform should be focus on solving the problem of system process heterogeneity and equipment interface inconsistency7. The core modules in digital mine platform as follow:
4.DMP TECHNOLOGY4.1Key technologiesThe key technologies affecting the visual digital management of coal mines mainly include communication technology, sensor technology, spatial information technology and big data storage technology. In the basic data definition module, the communication protocol and standardized transmission format are used for definition to realize real-time reading and high-reliability transmission of data; sensor technology is used to analyze the methane, anchoring pressure, well bore stress and roof layered environment in the mining environment. The digital mine platform uses the spatial information technology to construct three-dimensional scene reproduction of mine geographical space; researches and establishes mine Internet big data storage technology to realize cross-platform and cross-system standardized mine data warehouse on the mine8. 4.2Work-flow of heterogeneous systemsThe specific work-flow of the digital mine platform is shown in Figure 3. The system registers can access resources in the cloud server directory, and performs service encapsulation, and supports instructions (including syntax layer, semantic layer) and calls parameters. The service requests will send service requests to the cloud service center and retrieve related services according to the standard specifications. The service center executes the request information according to the WSDL description, the service requester can also find the required resources in the platform9-10. 5.APPLICATIONS5.1.System platform construction and cloud-assisted decision-makingThe digital mine platform detects multi-channel source data in real time through the network. The diagnosis model extracts relevant potential knowledge from the cleaned massive data, realizes real-time monitoring of mining in the mine, and early warning of fault diagnosis. The digital mine platform has the advantages of integrated control and distributed calling, which greatly reduces the capital investment in the intelligent construction of a single mine, and quickly completes the intelligent application layout based on the Internet big data. 5.2Lean management synergy and productivity value enhancementDue to the poor working environment and large workload of mining equipment operating in mines, it seriously affects production and even causes safety accidents. According to the statistics, equipment operation and maintenance services will supply account for 5% of the total procurement cost of the enterprise. The digital mine platform builds a closed-loop lean operation and maintenance intelligent service for users. The digital mine platform predicts the degree of wear on the equipment connected to the mine, and sends out prompts to prepare or replace the relevant spare parts in advance, and provides the corresponding products and services in the cloud domain which according to the price and favorable rating. After the user confirms, the system automatically saves the priority of the selected supplier, and promotes the cooperative relationship between enterprises in each node in the supply chain, and meets the individuality to the greatest extent. The digital mine platform reduces the proportion of orders, improves the efficiency of collaboration between enterprises, reduces the urgency of production demand in the mine and the cost of idle inventory consumption, and realizes the coordinated development of intelligent enterprises with the mining industry chain as the core. 6.CONCLUSIONThe digital mine platform mainly provides the users with an open access platform that can continuously expand resources and data. The resources in the access domain are used, and technologies such as data warehouse and mapping index are used to realize the coordination of heterogeneous resources and promote wisdom. The digital mine platform includes the IoT perception layer, the information transmission layer, the data storage layer, the intelligent deep learning layer, the intelligent analysis layer and the intelligent application layer. The digital mine platform uses the IoT technology to collect sensor data, establishes standardized information collection and formats analysis, and realizes different. The resource pool in the digital mine platform covers all the resources available in the domain. The system service center executes the request information according to the WSDL description, and the users can call the service components in the resource pool, they can find the required resources in the digital mine platform. REFERENCESWang, G. F., Wang, H., Ren, H. W., et al.,
“2025 scenarios and development path of intelligent coal mine,”
Journal of China Coal Society, 43
(2), 295
–305
(2018). Google Scholar
Chen, X. J. and He, M.,
“Framework system and key technology of intelligent mine construction,”
Coal Science and Technology, 46
(2), 208
–212236
(2018). Google Scholar
Shen, X., Liu, C., Kong, N., et al.,
“Research on the technical development status of the intelligent mine base on internet of things,”
China Mining Magazine, 27
(7), 120143
–125
(2018). Google Scholar
Wang, G. F., Pang, Y. H., Ren, H. W., et al.,
“Coal safe and efficient mining theory, technology and equipment innovation practice,”
Journal of China Coal Society, 43
(4), 903
–913
(2018). Google Scholar
Li, Y. H. and W, Sh.,
“A study on the mechanism and approaches of internet-driven intelligent manufacturing——Based on the reflection on made in China 2025,”
Science & Technology Progress and Policy, 34
(16), 56
–61
(2017). Google Scholar
Ren, H. W., Wang, G. F., Zhao, G. R., et al.,
“Smart coal mine logic model and decision control method of mining system,”
Journal of China Coal Society, 44
(9), 2923
–2935
(2019). Google Scholar
Yuan, C. and Wang, F.,
“Transparent mining mode and key technologies of fully mechanized working face,”
Industry and Mine Automation, 48
(3), 11
–1531
(2022). Google Scholar
Wang, G. F., Liu, F., Pang, Y. H., et al.,
“Coal mine intellectualization: The core technology of high quality development,”
Journal of China Coal Society, 44
(2), 349
–357
(2019). Google Scholar
Wang, C. F. and Rong, Y.,
“Concept, architecture and key technologies for transparent long wall face,”
Coal Science and Technology, 47
(7), 156
–163
(2019). https://doi.org/10.1016/j.surfcoat.2019.02.087 Google Scholar
Yuan, L. and Zhang, P. S.,
“Development status and prospect of geological guarantee technology for precise coal mining,”
Journal of China Coal Society, 44
(8), 2277
–2284
(2019). Google Scholar
|
