Recently, the State-owned Assets Supervision and Administration Commission (SASAC) of the State Council announced the winners of the 2025 Intelligent Supervision Business Model Innovation Campaign. The "Production Safety Risk Early Warning Model Based on the Industrial Internet and Data Middle Platform," independently submitted by the company's client Guangzhou Development Group, stood out among 772 entries nationwide and was honored with the "Outstanding Achievement" award. This demonstrates benchmark strength and leadership in digital and intelligent transformation through robust capabilities!

As one of the highest-level and most extensive innovation competitions within the state-owned assets system, this event centered on the theme "Data Modeling · Empowering Supervision." It targeted state-owned assets supervision agencies, central enterprises, and local state-owned enterprises nationwide, covering 12 tracks and 27 topics. The initiative aimed to leverage data, computing power, and algorithms to identify outstanding intelligent supervision business models, empower the practical operations of state-owned assets supervision and corporate management, and drive the overall leap in digital and intelligent capabilities within the state-owned sector.

The award-winning model is an innovative achievement jointly developed by Guangzhou Development Group, based on its complex and diversified energy industry context, and deeply integrated with Luculent's industrial internet platform. Centered on the core principles of "real-time perception, tiered control, risk tracing, and coordinated response," the model establishes a full-process, end-to-end safety risk early warning system covering diverse sectors such as power, energy logistics, gas, new energy, and energy storage.

Through core algorithms such as layered weighting, risk superposition, and dynamic thresholds, the model achieves greater real-time capability, accuracy, and comprehensiveness. It bridges the intelligent supervision pathway from "grassroots risks" to "group-level control," creating an online closed-loop management mechanism of "multi-source data collection – early warning models – risk monitoring – management intervention – measure implementation." This supports end-to-end safety management encompassing "pre-incident warning, in-process control, and post-incident tracing," fundamentally transforming production safety management from a "passive response" approach to one of "active warning and precise prevention." The in-depth application of this model provides real-time, reliable decision-making support for safety managers at all levels, significantly enhancing the group's capability for precise identification and proactive prevention of complex risks across regions and diverse operations.

Here, Luculent extends its warm congratulations to Guangzhou Development Group. Moving forward, the company will continue to deepen technological integration and business innovation, supporting the group in reaching new heights of high-quality development!