Intelligent safety fault diagnostic system of robotic process automation

摘要

The present invention relates to an intelligent safety analysis system for vehicles based on cloud server and robotic process automation technology. Specifically, In the intelligent safety analysis system (1) for vehicles based on cloud server and robotic process automation technology, The front-end processing means 100 for implementing a responsive web and mobile platform designed with a user interface and a user experience so that the safety analysis of the software is performed; and the activation of the front-end processing means 100 by the user, the safety of the software Post-processing means 200 for automatically performing the analysis; and a cloud server means 300 that allows a user and a remote manager to jointly monitor the process or result of the safety analysis of the software performed by the backend processing means 200; By accurately and quickly analyzing and outputting quantitative outputs for safety factors in systems, hardware, and software units, which can be identified in various electronic control devices of automotive electronic components and potentially high risk of occurrence, It is characterized in that it can minimize accidents and loss of life due to software errors and safety defects. At this time, the potential processing means 100, The safety analysis model identified through the post-processing means 200, the requirements of the robotic process automation engine unit 240, and the FMEA solution are interlocked to provide users with Javascript, HTML5, jQuery, and CSS3-based web and mobile apps. provided, Post-processing means 200, Python-based robotic process automation engine unit 240 that automates functional safety analysis of VDA FMEA, AIAG FMEA, AIAG-VDA standard software required by ISO 26262, the automotive functional safety standard for large-capacity electronic components; By automating the complex steps of performing software safety analysis, a series of processes such as item entry, data management, processing, and hazard detection and optimization can be accurately performed in the minimum time. For this reason, the present invention applies the AI-based RPA (Robotic Process Automation) technology within the structural analysis, failure analysis, and risk analysis steps of the existing FMEA (failure mode impact analysis) to automate the safety analysis and the analyzed results It has the advantage of providing a safety analysis system that not only improves the accuracy of decision-making or judgment, but also minimizes the execution time and human error required for analysis.