en.Wedoany.com Reported - The Huarong Energy Digital Intelligence Technology Branch of Sichuan Chuanmei Group in China utilized AI tools for the first time, completing the development of an SMS monitoring and alert mini-program for the coal mine safety comprehensive supervision platform in just 3 hours. This mini-program primarily serves the stability monitoring of underground coal mine communication systems, aiming to reduce the risk of production disruptions caused by communication failures. The development process did not use traditional coding methods but instead relied on AI-assisted code generation.

The mini-program features three core functions: scheduled network connectivity detection, real-time verification of the SMS sending process, and log file status analysis. Once an anomaly is detected, the system will automatically push alert notifications via email. On the technical implementation level, the mini-program is built using SpringBoot 4.0.5 and Java 17, balancing operational stability with future scalability. These three functions cover the main failure points of the SMS service, helping operations and maintenance personnel quickly locate issues.

After practical application, this SMS alert mini-program has improved operational response efficiency and reduced the workload of manual communication link inspections. Through this development, the Huarong Energy Digital Intelligence Technology Branch of Chuanmei Group verified the feasibility of AI tools for rapid response to software demands in the coal industry. This case provides a practical example for digital operations and maintenance in the coal industry, completed entirely in-house without using any external commercial software or cloud services.

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