## 1 Introduction  
The safety of mines is closely intertwined with the protection of human lives and property, thereby ensuring social stability and fostering economic development [1, 2]. The power distribution room in a mine is a vital department responsible for supplying and distributing electricity to ensure the normal functioning of the mine's equipment [3, 4]. Hence, the daily inspection of mine power distribution room, which is shown in Figure 1, is of great significance. Typical daily inspection tasks in a mine's power distribution room include meter data reading, temperature measurement, photography, intelligent analysis, defect management, switch state recognition, and so on. Above all, one of the most common and important tasks is meter reading. Meters in the power distribution room of mines are primarily categorized into two types based on their display method: pointer meters and digital meters. Pointer meters in mine power distribution rooms are applied to monitor numerical values such as liquid level and the concentration of sulfur hexafluoride, offering direct visualization of the measurement results [3]. Digital meters are utilized to monitor parameters such as electricity, voltage, and temperature. They offer substantial advantages in terms of accuracy, versatility, programmability, and data logging capabilities [4]. Traditionally, meter reading in mine power distribution rooms has relied on manual inspection patrols. However, manual inspection faces challenges in conducting uninterrupted 24 h surveillance. Furthermore, manual inspection is associated with high error rates, omissions, and costs [5]. Workplaces such as mines, construction sites, and other hazardous environments pose safety threats to inspectors. Consequently, given these challenges, there is a need to revise the inspection methods in mine power distribution rooms, with mobile inspection robots emerging as a viable solution [6; 7; 8]. Various types of inspection robots exist, including guide rail, quadruped, crawler, wheeled, and others. Among these, guide rail inspection robots are the most commonly used [9], as illustrated in Figure 2. Nonetheless, guide rail inspection robots are limited to workplaces with installed tracks, which restricts their inspection range to fixed routes and leads to drawbacks such as limited flexibility and blind spots in inspection coverage. In contrast, quadruped robots can effectively address these shortcomings, rendering them more suitable for safety inspection tasks in mine power distribution rooms. Quadruped robots perform well in adaptability, speed, and load capacity. They combine the agility of wheeled robots on flat surfaces with the stability and versatility inherent in quadrupedal locomotion, making them highly adaptable and stable, with substantial load-bearing capabilities. Consequently, quadruped robots are applied in a variety of scenarios, including transporting materials in complex field environments, conducting search and rescue operations in the aftermath of earthquakes and terrain reconnaissance in war zones, among others [10]. Moreover, due to their quadrupedal nature, quadruped robots can serve as versatile tools, facilitating tasks like guiding the blind and functioning as companions. This paper proposes a novel application scenario for quadruped robots: the mine power distribution room, to undertake meter reading inspection tasks, thereby introducing a new application innovation. Based on the research background, this paper presents a Mining Automatic Meter Reading System, named MAMRS, that integrates a quadruped robot with deep learning algorithms and computer vision techniques to recognize, classify, and read meter images collected by the robot. Initially, the collected meter images are classified into two categories:  
Figure 1: Mine power distribution room. Figure 2: Guide rail robots. pointer meters and digital meters, using the convolutional neural network ResNet18. Subsequently, YOLOv5 is utilized to identify the meter positions and extract dial images.