AR Smart Glasses: The Revolutionary Force for Safety and Efficiency in Mining Heavy Machinery

Wearing a pair of AR smart glasses, through the screen projected by the glasses, one can learn about the on-site situation of equipment use through AR glasses while interacting with on-site personnel, issuing instructions, and easily communicating with on-site personnel... This is not a scene from a science fiction movie, but the actual usage scenario of AR smart glasses. Recently, an interesting training course was held in the conference room. Different from previous training courses where the lecturer talked at length on the podium, this training course taught everyone how to use AR smart glasses.

Traditional mining heavy machinery operations such as ball mills, once encountering complex technical problems or sudden equipment failures, often require a lot of time waiting for professional teams to arrive on site for troubleshooting and repair. This process is not only inefficient, but may also exacerbate safety hazards due to delays. Now, the introduction of a smart glasses remote collaboration platform has completely subverted this traditional model.

The smart glasses worn by on-site personnel are equipped not only with high-definition cameras and displays, but also with advanced communication modules that enable real-time connectivity to backend management systems. When encountering operational challenges, workers can simply activate the remote collaboration mode with minimal effort, instantly streaming a first-person view of the scene directly to backend monitors.

Backstage managers or experts, through the high-definition videos transmitted by the glasses, feel as if they are on the scene, having a clear view of the underground environment, equipment status, and even the operational details of workers. This first-person immersive experience makes problem diagnosis more intuitive and efficient than ever before. Experts can quickly determine the type of failure, assess the risk level, and immediately formulate response strategies based on real-time images.

To further enhance the efficiency and precision of remote collaboration, the platform also supports multiple information transmission methods such as images, text, and screen sharing. Backend experts can take screenshots of key work steps, directly mark them, and send them to the front-end glasses to ensure that on-site personnel can execute operations accurately. At the same time, experts can also share their computer screens in real time with the front end, displaying complex technical drawings to help on-site personnel better understand the nature of problems and solutions.

It is worth mentioning that with the built-in real-time marking and screenshot marking functions of the platform, backstage managers can directly mark on the transmitted video images. Whether pointing out fault locations, labeling key components, or designating safety areas, these marks can be synchronously displayed on the front-end glasses in real time, making them clear at a glance for on-site personnel. In addition, backstage personnel can also intercept on-site pictures in real time, make detailed annotations and explanations on the pictures, and then send them to the front-end glasses, providing more precise guidance for on-site operations.

The application of AR smart glasses has not only significantly shortened the time for fault troubleshooting and repair, reduced safety risks caused by delays, but also effectively improved the skill level and response capabilities of on-site operators through efficient remote guidance. With the continuous advancement of technology, the smart glasses remote collaboration platform is gradually becoming an indispensable part of underground operations. It not only represents the innovation of mining technology, but also a profound transformation of the traditional operation model.

In the following days, CITIC IC will continue to leverage its production and technological advantages to contribute more to the safe, efficient and intelligent development of mining heavy machinery operations.