Intelligent operation, maintenance, and control system for public building: Towards infection risk mitigation and energy efficiency.

ABSTRACT: During the post-COVID-19 era, it is important but challenging to synchronously mitigate the infection risk and optimize the energy savings in public buildings. While, ineffective control of ventilation and purification systems can result in increased energy consumption and cross-contamination. This paper is to develop intelligent operation, maintenance, and control systems by coupling intelligent ventilation and air purification systems (negative ion generators). Optimal deployment of sensors is determined by Fuzzy C-mean (FCM), based on which CO₂ concentration fields are rapidly predicted by combing the artificial neural network (ANN) and self-adaptive low-dimensional linear model (LLM). Negative oxygen ion and particle concentrations are simulated with different numbers of neg

SUBMITTER: Ren C 

PROVIDER: S-EPMC10017170 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature