Electricity equipment health optimization
Electricity equipment health optimization
To build an integrated "equipment health optimization system". Through setting up system, make full use of the patrol and point inspection, SIS and TDM data, by means of information technology to carry out the comprehensive monitoring of equipment condition, Real-time detection of equipment fault generation, development, change of the whole process, run trend forecasting of equipment condition, analyze and diagnose failure cause, grasp equipment real health condition, reduce underrepair and overrepair, positive practice equipment preventive maintenance or condition overhaul, ensure equipment unit run for a long period of time with safety, stability and high quality
Overall perception of equipment information:
Build complete data acquisition system, acquire security big data+ management big data + process big data.
Intelligentization of equipment diagnosis：
Develop unique technologies (Mechanical, electrical, hydraulic pressure, process ) to realize fault essence feature extraction, fault identification, modeling early warning.
↵Equipment total life circle management:
Realize the full life cycle control of equipment, minimize the cost and maximize the comprehensive efficiency of equipment
↵Intelligent decision of maintenance:
Establish a comprehensive and optimized maintenance and repair mode, to achieve maintenance and maintenance (less) unmanned, intelligent
Three checks in one system
The system integrates patrol inspection, point inspection and precise point inspection into one, maximizes the data and phenomena of equipment condition, constructs a three-level and nine-layer equipment protection system, achieves the condition maintenance, optimizes maintenance management objectives, and provides reliable data support for follow-up maintenance plan, maintenance plan and spare parts plan. The three-dimensional integrated point inspection management forms the accurate detection results of the equipment condition, and diagnoses the equipment condition as normal, alarm and danger three levels. Combining with the importance of the equipment to the safe and economic operation of the equipment unit, it serves as the scientific basis for making the management decisions of predictive maintenance and failure improvement.
With RCM as the guiding ideology, carry out the evaluation of equipment, complete the entry of basic ledger that with basic condition data of equipment, establish the condition management mode of equipment trend judgment, establish the technical matrix of each equipment, test and maintenance cycle and other basic information.
Equipment condition warning system
For the main system or equipment, obtain real-time data through the SIS system and conduct data fusion with other systems. Based on a large amount of historical data, the system automatically establishes the operation model of the equipment, compares and analyzes with the real-time data, and gives an alarm warning when the measurement point data exceeds the range of the normal value of the model (far less than the alarm value of DCS).
If the online warning system finds the alarm data, it will automatically trigger the diagnosis and generate the diagnosis report, diagnosis including: basic information of the equipment, the reason, the waveform spectrum, the treatment measures, etc.
Rotating equipment health condition diagnosis system
The system takes the rotating equipment as the unit to evaluate the overall condition health. Equipment includes: steam turbine, pump, fan, etc.
Equipment health evaluation system includes:
Vibration evaluation, electrical evaluation, process evaluation, point inspection evaluation four categories.
Equipment health warning solves the traditional one-sidedness of evaluation results based on one or several evaluation indexes and improves the reliability and accuracy of equipment health assessment.
Intelligent maintenance decision system
According to the real-time alarm data and the overall evaluation result of the equipment unit, the system makes maintenance decision analysis based on fault risk of the alarm data. The maintenance decision comprehensively takes into account the failure symptoms of the current alarm channel, the overall health evaluation status of the equipment unit where the channel is located, and the historical alarm treatment of the channel. The intelligent maintenance decision is given to help the on-site personnel to timely understand the seriousness of the problem and the subsequent treatment measures.
The mobile terminal application is divided into two parts:
- Mobile terminal application: alarm push, task handling, message checking, equipment condition checking, etc.
- With the help of WeChat enterprise public number, realize the instant messaging of checking abnormal data
- Reduce unplanned downtime
- Reduce the maintenance cost of the equipment unit
- To effectively prevent major losses caused by major accidents
The fourth industrial revolution characterized by full digitalization has already begun. Intelligent manufacturing, cloud computing, big data, Internet of Things, Industry 4.0 and other new technologies are subverting the production operations and competition methods of manufacturing companies at all levels