Building electromechanical system fault intelligent prediction method and system

Abstract

The invention provides a building electromechanical system fault intelligent prediction method and system, and the method comprises the steps: step 1, building a BIM model of a building; step 2, adopting the technology of the Internet of Things to monitor important electromechanical equipment in real time, dynamically collecting monitoring data, wherein the important electromechanical equipment iscentral and subarea control and power equipment of an electromechanical system; step 3, collecting repair work order information, performing semantic recognition on each repair work order, and matching with the BIM information to determine a repair space and an associated electromechanical system or device; step 4, establishing an electromechanical equipment fault prediction model by adopting principal component analysis and a neural network algorithm, and performing machine learning; step 5, using a cross validation method for network training until the accuracy of the obtained artificial neuron network model is available; and step 6, applying the artificial neuron network model to perform fault prediction, and notifying maintenance personnel of potential faults to perform key inspection. According to the scheme of the invention, the method can achieve the accurate prediction of the faults of the building electromechanical equipment, reduce the sudden faults of the building electromechanical equipment by 20%, guarantee the stable operation of a large public building, and reduce operation and maintenance cost.

Description

technical field [0001] The invention belongs to the field of building operation and maintenance, and in particular relates to a method and device for realizing intelligent prediction of building equipment faults based on data of the whole life cycle of building equipment by applying machine learning technology. Background technique [0002] The traditional operation and maintenance mode of building mechanical and electrical systems mainly adopts the emergency management mode of "finding problems and dealing with problems", which has many sudden failures, low efficiency and high cost, which is difficult to meet the operation and maintenance needs of large and complex public buildings such as hospitals, terminal buildings and shopping malls. dimension requirements. Another common planned maintenance mode is mainly to carry out regular inspections, cleaning, reinforcement or lubrication according to the type of equipment; this method has a fixed operation and maintenance cycle ...

AI Technical Summary

Problems solved by technology

Generally speaking, the current existing technology fails to realize the organic integration of BIM and repair information, and fails to extract the service relationship between important equipment and building space from BIM, so as to integrate BIM, BA and repair information to achieve accurate prediction of building mechanical and electrical. Targets for system and equipment failures

Images