Research on Rule Updating Scheme for Operations Knowledge Base Based on Short Text Similarity Model

This article focuses on the issue of equipment operation and maintenance management in the industry. By combining the operation and maintenance knowledge base with artificial intelligence algorithms, a short text matching algorithm for updating rules in the operation and maintenance knowledge base is proposed. Firstly, a short text similarity model based on a multi attention mechanism fusion module is designed to match the work order fields with the rule fields in the knowledge base. This assists in updating the “fault phenomenon fault cause processing measures” rule in the operation and maintenance knowledge base, thereby improving equipment operation and maintenance efficiency and reducing operation and maintenance costs.