A fully distributed optimal control approach for multi-zone dedicated outdoor air systems to be implemented in IoT-enabled building automation networks

Li, Wenzhuo; Wang, Sheng-Wei

doi:10.1016/j.apenergy.2021.118408

Cited by 16 publications

(11 citation statements)

References 24 publications

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“…Section of the Weihe River e existing lake water environment monitoring system is only responsible for collecting the water quality parameters of the water area to be measured and cannot realize automatic and intelligent management from data collection to water quality analysis [23,24]. In addition, although scholars have tried many methods to realize the analysis and diagnosis of water quality, they have not reasonably expressed the relevant knowledge in the field of water environment, so the evaluation results obtained are difficult to be understood by users [25]. At the same time, the traditional monitoring methods of water quality testing and water quality evaluation are isolated from each other, which increases the difficulty of water environment management.…”

Section: Water Quality Detection In the Shaanximentioning

confidence: 99%

Design of Water Quality Monitoring System in Shaanxi Section of Weihe River Basin Based on the Internet of Things

Dang

Liu

2022

Computational Intelligence and Neuroscience

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Monitoring environmental water quality in an efficient, cheap, and sustainable way can better serve the country’s strategic requirements for water resources and water ecological protection. This paper takes the Shaanxi section of the Weihe River Basin as a pilot project and aims to use the Internet of Things technology to develop water quality monitoring sensors, so as to realize the construction of low-cost, high-reliability water quality monitoring demonstration applications. First of all, we established the design of the water quality collection terminal, designed the low-power water quality sensor node, supported the Internet of Things protocol and the collection of various water quality parameters, and used networking for data transmission. Secondly, we use the ant colony algorithm-based system clustering model to obtain a cluster map of water quality monitoring tasks in a certain section of the Weihe River Basin. We take the task clustering graph as an example for analysis, optimize the monitoring model through the ant colony algorithm, and obtain the weight of the optimization index. The weight of the scheduled task limit of the monitoring point becomes larger, so the release of the monitoring task mainly affects the limit of the scheduled task of the monitoring point. Through the above work, we designed and implemented a set of online water quality monitoring system based on the Internet of Things and data mining technology. The system can provide reference for large-scale water resource protection and water environment governance.

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Section: Water Quality Detection In the Shaanximentioning

confidence: 99%

Design of Water Quality Monitoring System in Shaanxi Section of Weihe River Basin Based on the Internet of Things

Dang

Liu

2022

Computational Intelligence and Neuroscience

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“…For one optimization decision, the computation load of an agent using the proposed approach was 1040 FLOPs, which was smaller than 1960 FLOPs using the existing fully distributed optimal control approach [31] . The computing capacity of IoT-based smart sensors widely used in buildings is about 160,000 FLOPs per second.…”

Section: Performance Under Normal Conditionsmentioning

confidence: 93%

“…To avoid the selection of a leader, Zhang et al [ 29 , 30 ] proposed a two-level consensus-based algorithm for EDP, in which the lower level adopted the average consensus algorithm and the upper level adopted the ICC Algorithm. Li and Wang [31] adopted the two-level consensus-based algorithm to develop a fully distributed optimal control approach for air-conditioning systems. In these studies, a priori knowledge of the communication topology was needed.…”

Section: Article In Pressmentioning

confidence: 99%

“…• The existing fully distributed optimal control approach. Similar to the proposed fully distributed robust optimal control approach, the existing fully distributed optimal control approach [31] has the same communication topology as shown in Fig. 4 , and the same assumptions on the occurrence and the time length of link failures.…”

Section: Implementation Of the Proposed And The Existing Optimal Cont...mentioning

confidence: 99%

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A Fully Distributed Robust Optimal Control Approach for Air-Conditioning Systems Considering Uncertainties of Communication Link in Iot-Enabled Building Automation Systems

Tang

Wang

2022

SSRN Journal

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“…An adapted non‐dominated sorting‐based genetic algorithm (A‐NSGA) is used in WSN to enhance virtualization. A‐NSGA is mainly used to reduce delay and time consumption levels in computation 12 . A‐NSGA enhances the performance, flexibility, feasibility, and energy efficiency of the systems.…”

Section: Introductionmentioning

confidence: 99%

CE2RV: Commissioned energy‐efficient virtualization for large‐scale heterogeneous wireless sensor networks

Babu

Ramesh

Kannan

et al. 2023

Int J Communication

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Summary The Internet of Things (IoT) comprises sensor networks, intelligent things, devices, and humans for heterogeneous services and applications. Energy constraints in conventional wireless networks impact IoT performance resulting in service failures. For reducing the adverse impact of energy, this article introduces a commissioned energy‐efficient resource virtualization (CE2RV) scheme. This proposed scheme classifies the sensor nodes as fast and slow‐depleting for identifying service failures. The fast‐depleting nodes are discontinued from the service replications, and the remaining energy high‐node‐connected resources are identified. Such resources are virtualized for thwarting the existing energy failures over various services. The node classifications are performed using a tree‐learning algorithm. The classifications are performed for node replacement and service virtualization under different energy depletion rates. This is required for preventing sensor network disconnections between the users and service providers. The classification is required for overcoming multiple virtualizations between common nodes across different service providers. The proposed scheme's performance is analyzed using the metrics of service disconnections, energy utilization, energy efficiency, and service delay.

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A fully distributed optimal control approach for multi-zone dedicated outdoor air systems to be implemented in IoT-enabled building automation networks

Cited by 16 publications

References 24 publications

Design of Water Quality Monitoring System in Shaanxi Section of Weihe River Basin Based on the Internet of Things

Design of Water Quality Monitoring System in Shaanxi Section of Weihe River Basin Based on the Internet of Things

A Fully Distributed Robust Optimal Control Approach for Air-Conditioning Systems Considering Uncertainties of Communication Link in Iot-Enabled Building Automation Systems

CE2RV: Commissioned energy‐efficient virtualization for large‐scale heterogeneous wireless sensor networks

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