Work safety is paramount. To bolster workplace safety through technological advancement, obsolete processes, technologies and outdated installations in high-risk industries and key sectors must be phased out and renovated without delay. This helps eliminate drawbacks including lagging manual risk prevention, blind spots in monitoring frameworks and passive emergency response, so as to substantially improve inherent safety performance.

As the implementation of the AI Plus Initiative picks up pace, the process industry is undergoing comprehensive transformation toward digitalization, intelligentization, green development and intensive operation. The Ministry of Industry and Information Technology (MIIT) recently unveiled the list of exemplary integrated application cases of next-generation information technologies for 2025. Under the category of Innovative Industrial Internet Platform Applications, the innovative Remote Intelligent Operation & Maintenance System for Coal Mining Equipment built jointly by Luculent Wisdom Co., Ltd. and China National Coal Mining Equipment Co., Ltd. has been selected as a featured case, being one of only 14 outstanding projects nationwide in this category.

Underground coal mines feature harsh and complicated operating conditions, where core electromechanical equipment such as shearers and scraper conveyors runs continuously under sustained heavy load. Traditionally, coal machinery maintenance follows a reactive breakdown repair model. Equipment health status relies heavily on veteran technicians’ empirical on-site inspections; manual patrols leave undetected blind areas and minor hidden hazards, driving up excessive maintenance costs. Furthermore, data silos persist among machinery manufacturers, coal mine operators, maintenance contractors and insurance providers, resulting in poor industrial synergy and hindering high-quality industrial advancement.

Centered on practical underground production needs and on-site usability, the platform adopts a cloud-edge collaborative architecture to connect underground production sites with cloud computing resources. Edge nodes collect real-time critical operational data including temperature, vibration and energy consumption to trigger instant alert notifications. Massive aggregated data is processed and modeled on the cloud via iterative algorithms for intelligent computation and analysis, enabling perceptible diagnosis, early warning and collaborative management for coal equipment maintenance. Risk identification is moved upstream, with even subtle operational anomalies precisely captured by AI to safeguard safe mine production and stable equipment performance.

Moving beyond scattered conventional manual management, the platform establishes an integrated four-in-one system covering prediction, early warning, prevention and pre-control. Acting as round-the-clock online safety sentinels, embedded AI automatically raises alarms upon abnormal data fluctuations while synchronously feeding fault root-cause analysis, maintenance solutions and spare part specifications. On-ground maintenance staff can monitor underground equipment conditions in real time and conduct remote diagnosis and troubleshooting remotely, blocking potential safety risks at source and securing safer, more dignified working conditions for frontline workers. To date, the platform boasts an early warning accuracy rate of 95%, fulfilling three core targets: elevated safety standards, improved operational efficiency and refined management quality.

Notably, industrial AI large models and intelligent agents are embedded into the platform. Operators can acquire precise fault probability assessment, troubleshooting advice and key safety compliance requirements simply by inputting equipment malfunction descriptions. Built upon Sunshine, a national-level cross-industry and cross-domain industrial internet platform certified by MIIT, the platform addresses the industry’s challenge of fading experiential expertise. It digitizes senior technicians’ know-how into standardized, reusable digital knowledge bases and feeds massive field operational data back into equipment R&D and design to continuously upgrade coal machinery specifications, forming a virtuous cycle of smarter maintenance, more reliable equipment and higher production efficiency. In addition, the platform links up machinery suppliers, coal mine owners and maintenance service providers to build a dynamically connected closed-loop industrial ecosystem.

Beyond extensive deployment in coal mines, the AI-powered solution has been rolled out across multiple process industries including power, petrochemicals, metallurgy and equipment manufacturing. Serving as an all-in-one digital management hub covering safety, production, scheduling, equipment, emergency response and business administration, it helps enterprises boost productivity, mitigate operational risks, ensure workplace safety and raise economic returns, accelerating the intelligent upgrading of traditional industries.