## 1 Introduction
[PERSON] analyzed the problems in the intelligent construction of coal mining enterprises and put forward measures and suggestions to accelerate the research and development of key technologies and equipment as well as technological innovation [22]. Huangling No. 1 Coal Mine has completed the first intelligent unmanned working face in a 1.4-2.2 m thin coal seam [23]; Xiaobadang Coal Mine [24] has completed the theoretical, equipment matching, and equipment research and development work for a 450 m ultra-long intelligent mining project; Caojiatan Coal Mine [25] has even developed an intelligent fully-mechanized coal mining technology and its supporting system for a 10 m super-large mining height, promoting the development of intelligent working faces towards higher and more independent directions; The CHN Energy Investment Group [26] vigorously develops mining robots, gradually achieving the ambitious goal of \"few human mining and no human in dangerous areas\" in coal mines; Shandong Energy Group has also actively responded to the national energy development strategy and accelerated investment in intelligent development and construction [27]. Shaanxi Yanchang Petroleum and Balasu Coal Industry Company is committed to building a world-class intelligent mine, with complete infrastructure construction facilities, such as a 5G mine and industrial Internet [28]. Intelligent mining is a necessary path for the safe and efficient development of resources [29; 30], and data governance is of great significance for accelerating the intelligent construction of coal mines [31]. Tangjiahui Coal Mine has pioneered transparent and intelligent mining at working faces based on digital twin intelligent \"fully-mechanized caving mining\" technology [32]. Based on video and image processing technology, HalagouCoal Mine of Shendong Company, China Shenhua Energy, has established a transportation system model to match the speed of conveyors with the amount of coal. [33] Based on embedded WEB servers, [PERSON] has established a simulation model and built up an experimental device for shearer positioning systems, delivering high test positioning accuracy. [34] By analyzing basic scaffold structures and electro-hydraulic control systems, [PERSON] has constructed a control model for scaffolds' positions and postures, and developed an autonomous stent control system. [35] [PERSON] has studied the speed and tracking accuracy of shearers by using AMESim 2021.1 software, finding that the optimal speed range of automation is 10-13 m/s [36]. By analyzing the movement characteristics of shearers, [PERSON] et al. [37], based on the Kalman filter, greatly reduced the large positioning error of shearers in each cycle of cutting. Based on the fuzzy control theory, [PERSON], ZP [38] has proposed a memory-based cutting technology, which can effectively identify coal gangue and automatically adjust the traction speed and roller height. [PERSON] et al. have used the SAM2.0 centralized control system to greatly reduce the number of underground coal mine workers, increasing the production efficiency from 5% to 20%. [39]. However, the advantages of intelligent working surfaces are rarely leveraged for roof control in the coal production process. At present, most of the existing research on roof control methods focuses on the analysis of causes and post-prevention and treatment of roof leakage accidents. Few reports are about the prevention and control methods based on roofs of intelligent working faces. Based on the intelligent construction of CHN Energy's Shendong Shangwan Coal Mine and the 5G+ big data platform, this paper proposes a \"playing football\" type roof control method in combination with intelligent equipment for the working face, providing a reference for the intelligent roof control of fully-mechanized mining faces with a super-large mining height.