Artificial Intelligence Based Visual Review Technology of Engineering Safety Design Documents

The accuracy and completeness of safety design documents are important indicators for ensuring the safe operation of engineering. Traditional document review methods suffer from issues such as relying on manual experience, time-consuming and error prone processes, and low efficiency. Based on this, this study proposes an efficient and accurate intelligent review method for engineering safety documents by combining artificial intelligence (AI) technology. This method integrates natural language processing, machine learning and other technologies, based on relevant specifications, legal provisions, relevant documents, experience and other review criteria, to review the content integrity and targeted solutions of design documents from two professional dimensions. Finally, the review results are evaluated and assisted in early warning, breaking through the limitations of traditional manual review, greatly improving review efficiency, and achieving refined intelligent review of engineering safety design documents.