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Combined with the characteristics of open-pit mines in China, the definition of intelligent open-pit mines is given. This paper introduces the overall network architecture, business architecture and collaborative process of the intelligent open-pit mine. The overall network architecture of cloud, edge and end is adopted to realize the collaborative correlation of various production links in the open-pit mine by accessing multi-source heterogeneous data and fully applying advanced technologies such as big data and cloud computing. The business architecture adopts the "5 layers + 3 system" model. The "5 layers" from bottom to top are the basic equipment layer, business data layer, analysis service layer, analysis business layer and analysis presentation layer. And the "3 systems" are data analysis standard system, safety specification standard system, metadata and code specification standard system. The bottom-up collaboration of intelligent open-pit mine should realize "basic + data" support, mine production system collaboration, disaster risk analysis collaboration and business decision-making collaboration. The key technologies such as unmanned technology, digital twin technology, big data collection and analysis technology, risk monitoring and early warning technology of intelligent open-pit mine are discussed. It is pointed out that technologies such as big data and artificial intelligence will become the core driver of open-pit mine intelligence. The platform-based architecture will become the common choice for future intelligent open-pit mine systems.

In this paper, it is pointed out that there are several main problems in the construction of intelligent open-pit mines in China at this stage, such as independent systems, mainly relying on manual control, passive implementation of disaster monitoring and lack of intelligent analysis. Moreover, this paper explores the connotation of intelligent open-pit mines and defines the intelligent open-pit mines as a large intelligent driven system consisting of Internet of everything and platform integration. The underlying platform of intelligent open-pit mines based on industrial Internet of things cloud operating system is proposed. Real-time data is obtained by advanced programmable remote utility server via Modbus/OPC/PPI/MPI and other industrial protocols. Off-line data can be entered manually according to the needs of field work. These data can be connected to the existing ERP or manufacturing execution system of open pit mining enterprises to realize the seamless connection of external data. Based on the industrial Internet of Things cloud operating system MixIOT as the platform, raster database, offline database, statistical database, report database, etc. are established according to different data sources to realize routing, exchange and storage of all kinds of data in open pit mines. At the same time, industrial data analysis service system is used to analyze the operation of open-pit mine production equipment. The three key technologies of the underlying platform of intelligent open-pit mines are data acquisition technology, data analysis service technology and application display technology.

This paper summarizes the theoretical researches of truck dispatching in open-pit mines in China in terms of model building, algorithm solving, dispatching criteria and the development status of truck dispatching system. The key research contents of truck dispatching are proposed, including intelligent dispatching with multiple dispatching methods; according to the change of transportation system conditions and the comprehensive scheduling optimization criteria of production task requirements, a time dynamic prediction model combining integrated learning and deep learning was established. Truck dispatching and coal distribution management is carried out based on semi-continuous process truck scheduling research. Under the background of the development of intelligent opencast mine, the development trend of truck dispatching in the future is forecasted with the combination of modern high technology and analysis method.

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Copyright of Coal Science & Technology (0253-2336) is the property of Coal Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)