Record-based planning in operational maintenance and service

This invention describes a system that helps fix problems with equipment. When a sensor detects a failure, the system receives a notice about it. It then compares this new failure notice to a library of past failure records using a detailed scoring method. Based on the best match, the system suggests a solution, including specific tasks, to resolve the problem. The failure notice can come from either a wireless IoT sensor or a user's device.

Why it matters: Filed before the widespread adoption of advanced AI and Large Language Models (LLMs), the 'domain-by-domain scoring' and 'generating a message' steps could now be significantly enhanced. LLMs can more effectively interpret complex failure notices, automate the contextual comparison, and generate more nuanced, context-aware solutions than was feasible in 2018.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedRecommendation system software, data management, scoring algorithms

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