基于大数据平台的工业机器人预测性维护应用
发布时间：2023-03-14
入选理由：北京奔驰以数据驱动的维护理念，基于工业物联网技术建立了工业机器人实时运维大数据平台，并自主开发了工业机器人预测性维护系统。系统针对机器人不同部件的失效机理提取故障数据的多维度特征，通过机器学习构建适用于复杂工况的失效预测模型；基于专家知识系统形成定制化的预测性维护策略在故障发生前消除隐患。工业机器人预测性维护系统已覆盖超过3500台工业机器人，以海量的实时运行数据实现准确预测性维护并取得多项预测性维护落地应用，大幅减少设备维护成本、提高运维效率、保障设备稳定与产品质量。
This Industrial Robot Predictive Maintenance System is independently developed by BBAC based on its data-driven maintenance strategy and real-time big data platform operated by industrial IoT technology. The system extracts multiple-dimension features from failure data according to the mechanisms of different parts on robots and constructs failure prediction models applicable to complex working conditions through machine learning. It eliminates potential perils before the occurrence of failures through the customized predictive maintenance schedule generated by the expert knowledge system. The Industrial Robot Predictive Maintenance System has covered more than 3,500 industrial robots and provides precise predictive maintenance services with a huge amount of real-time operation data. It has succeeded in several practical applications, with substantial achievements in the reduction of equipment maintenance costs, improvement of operation and maintenance efficiency, and assurance of equipment stability and product quality.
This Industrial Robot Predictive Maintenance System is independently developed by BBAC based on its data-driven maintenance strategy and real-time big data platform operated by industrial IoT technology. The system extracts multiple-dimension features from failure data according to the mechanisms of different parts on robots and constructs failure prediction models applicable to complex working conditions through machine learning. It eliminates potential perils before the occurrence of failures through the customized predictive maintenance schedule generated by the expert knowledge system. The Industrial Robot Predictive Maintenance System has covered more than 3,500 industrial robots and provides precise predictive maintenance services with a huge amount of real-time operation data. It has succeeded in several practical applications, with substantial achievements in the reduction of equipment maintenance costs, improvement of operation and maintenance efficiency, and assurance of equipment stability and product quality.
关键词：工业机器人，预测性维护，失效预测模型，大数据平台
Industrial Robot, Predictive Maintenance, Failure Prediction Model, Big Data Platform
Industrial Robot, Predictive Maintenance, Failure Prediction Model, Big Data Platform