Turbine cloud service and large-scale rotating equipment health management system

Abstract

The invention provides a turbine cloud service and large rotating equipment health management system which comprises a data acquisition module, a cloud data forwarding module, a cloud application server and a remote terminal, the remote terminal comprises a man-machine interaction module and a data model library, and the remote terminal comprises cross-screen interaction experience of an APP terminal, a WeChat terminal, a PC terminal and a tablet terminal, wherein the data model library comprises a prediction model based on expert experience knowledge, a prediction model based on cases, a prediction model based on historical data, fault knowledge and a prediction result; the man-machine interaction module sends the data to a remote terminal to be practically processed by a corresponding expert; when the expert is offline, preprocessing can also be performed through the data model library to match the prediction model, the fault knowledge and the prediction result; and through an equipment fault prediction processing result, the equipment health assessment accuracy is improved, the equipment maintenance efficiency is improved, the equipment operation and maintenance cost is reduced,and the safe production of the equipment is realized.

Description

technical field [0001] The invention belongs to the technical field of equipment management, and in particular relates to a steam turbine cloud service and a large-scale rotating equipment health management system. Background technique [0002] When vibrations occur in turbine generator sets, feed water pumps, fans and other equipment, professionals are required to take the equipment to the site for dynamic balancing. The unit restarts to collect the corresponding data. When the unit is faulty, professionals are required to go to the site to judge the cause of the fault by checking the historical curve of the data in the DCS on site. With the improvement of the informatization level of steam turbine equipment, it is hoped that equipment failures can be predicted in order to understand the health of the equipment in advance and take corresponding effective maintenance measures. Therefore, it is necessary to apply the failure prediction technology to equipment health manageme...

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a steam turbine cloud service and a large-scale rotating equipment health management system to solve the problem that the existing equipment diagnosis and optimization requires professionals to go to the site, which is time-consuming and laborious, and cannot analyze and optimize the performance of the unit in time.

Images