Thursday 06 March 2025
A team of researchers has developed a cutting-edge system that uses artificial intelligence to manage and maintain intelligent devices in public facilities, such as libraries. The system, which relies on large language models (LLMs), can identify and prevent device failures before they occur, reducing the need for costly repairs and minimizing disruptions to services.
The LLM-based Smart Device Management framework is designed to address the complex challenges of managing intelligent devices within public facilities. These devices, such as smart sensors and self-service borrowing machines, are increasingly common in modern libraries, but their complexity can make them prone to failure.
Traditionally, device maintenance has relied on manual processes, which can be time-consuming and error-prone. The new system uses LLMs to analyze data from various sources, including sensor readings and user interactions, to identify patterns and predict potential failures. This information is then used to trigger preventative measures, such as software updates or hardware replacements.
The system’s capabilities are demonstrated through a prototype validation in real-world library settings. In one scenario, the framework successfully predicted the failure of a self-service borrowing machine due to a faulty sensor, allowing maintenance staff to replace the component before it caused any issues.
Another key advantage of the LLM-based system is its ability to integrate data from multiple sources, including product manuals and troubleshooting guides. This information is used to provide users with targeted advice on how to resolve common issues, reducing the need for external support and minimizing downtime.
The potential benefits of this technology are significant. By predicting and preventing device failures, public facilities can reduce their maintenance costs and improve their overall efficiency. Additionally, the system’s ability to provide users with timely and relevant information can enhance their experience and improve customer satisfaction.
As the use of intelligent devices continues to grow in public facilities, the need for effective management and maintenance systems will become increasingly important. The LLM-based Smart Device Management framework offers a promising solution, leveraging the power of artificial intelligence to ensure that these complex devices operate reliably and efficiently.
Cite this article: “Intelligent Device Management: A New Era in Public Facility Maintenance”, The Science Archive, 2025.
Artificial Intelligence, Smart Devices, Public Facilities, Large Language Models, Device Management, Predictive Maintenance, Library Automation, Sensor Data, Troubleshooting, Efficiency Improvement
