Research on building operation and maintenance management based on BIM and IoT technology

2021 ◽  
Author(s):  
Chengwei Zhang ◽  
Jing Yang ◽  
Ruping Shao ◽  
Yuhe Yuan
Keyword(s):  
Maintenance Management ◽  
Operation And Maintenance ◽  
Building Operation

scholarly journals Strategy of BIM Building Operation and Maintenance Management Based on LV-EG Model

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Xiaojian Guo ◽  
Huan Hu
Keyword(s):  
Future Development ◽  
Maintenance Management ◽  
Management Mode ◽  
Operation And Maintenance ◽  
Complete Market ◽  
The Future ◽  
Building Operation ◽  
Stable Points ◽  
Evolution Game

BIM technology can make building operation and maintenance (O&M) more efficient. This paper analyzes the evolution game (EG) of the three parties related to the O&M of the building. At the same time, it deduces the diffusion (LV) of the O&M management mode of the market in this condition by finding the evolutionary stable points under different conditions. Through the analysis of relevant conditions, the result of BIM-O&M diffusion is obtained as follows: complete market possession, partial market possession, and exit market three kinds of diffusion results, which provides a reference for the future development of BIM-O&M management in China.

The Design of Operation and Maintenance Management System about IT Platform Based on Tivoli

2014 ◽  
Vol 599-601 ◽  
pp. 2215-2219 ◽  
Author(s):  
Fen Su Shi ◽  
Yang Zhou ◽  
Pan Shi
Keyword(s):  
Management System ◽  
Process Management ◽  
Maintenance Management ◽  
It Infrastructure ◽  
Event Management ◽  
Management Platform ◽  
Operation And Maintenance ◽  
Passive Response ◽  
Maintenance Work ◽  
Storage Networks

At present, many domestic industries don’t have perfect operation and maintenance management systems for their IT platform. Most of the daily maintenance work is passive response after the problem occurred rather than discovery in advance, which will bring the potential risks to IT system running smoothly. Therefore it is necessary to monitor and manage the existing IT core equipment, to improve the security and stability of the core production and enhance the satisfaction of business department. In addition, through the establishment of an association between centralized monitoring and process management platform, the system standardizes the operational work, and improves work efficiency.Maintenance management system based on Tivoli[1] is mainly to complete the monitoring and management of the IT infrastructure, used in finance, electric power, chemical and other industries, which includes room infrastructure, storage, networks, systems, databases and middleware. On one hand, the system centralizes event management platform integrates events from various aspects of the IT infrastructure, takes a rich deal and then provides intuitive monitoring for operational management. Moreover it integrates process management platform so as to complete creating work orders, processing and other operations. On the other hand, the system will integrate the monitoring results of existing business into the monitoring interface, and implements IT knowledge sharing.

scholarly journals The Grey Clustering Analysis for Photovoltaic Equipment Importance Classification

2017 ◽  
Vol 6 (2) ◽  
pp. 47
Author(s):  
Hongjiu LIU ◽  
Qin ZHANG
Keyword(s):  
Clustering Analysis ◽  
Maintenance Management ◽  
Analysis Model ◽  
Reliable Operation ◽  
Power Station ◽  
Analytic Hierarchy ◽  
Operation And Maintenance ◽  
Grey Clustering ◽  
Judgment Matrix ◽  
Hierarchy Process

The evaluation of equipment importance is an important part of the operation and maintenance management and its purpose is to identify the key equipment which has important influence on the reliable operation of the power station. On the basis of grey clustering theory, the paper firstly establishes the analysis model of photovoltaic (pv) power station equipment importance and the weights of factors in the target hierarchy is solved by using the judgment matrix in analytic hierarchy process. Secondly, according to the whitenization weight function of the grey clustering, pv equipment is classified into three types: key equipment, vital equipment and general equipment, which lays the foundation for the equipment maintenance strategy choice. Finally, an application example verifies the practicality and scientificity of the proposed method.

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