Insect Intelligent Building (I2B): A New Architecture of Building Control Systems Based on Internet of Things (IoT)

Zhao, Qianchuan; Jiang, Ziyan

doi:10.1007/978-981-13-6733-5_42

Cited by 16 publications

(10 citation statements)

References 10 publications

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“…Recently, we proposed a new building control architecture Insect Intelligent Building (I 2 B) [25]. This new distributed control framework is convenient for pump units.…”

Section: Distributed Methodsmentioning

confidence: 99%

“…Second, our work establishes the theoretical convergence results. Motivated by the distributed and peer-to-peer algorithm framework proposed in [25], we put forward a novel distributed optimization method that is suitable for general topologies and establishes theoretical convergence results. Our method consists of two parts: First, in order to process the network information, we apply the breadth first search algorithm to construct a tree to exchange messages.…”

Section: Distributed Methodsmentioning

confidence: 99%

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A Distributed Optimization Method for Energy Saving of Parallel-Connected Pumps in HVAC Systems

2020

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Motivated by the importance and challenges of the energy saving problem of parallel-connected pumps in heating, ventilation, and air-conditioning (HVAC) systems, we propose a distributed optimal control algorithm for on-off status and flow rate set points of parallel-connected pumps in HVAC systems. The proposed algorithm consists of two parts: First, in order to process the network information, we apply the breadth first search algorithm to construct a tree for exchanging messages. Second, all nodes coordinate with each other and randomly sample the speed ratios. To our best knowledge, the algorithm proposed in this paper is the first effort to address the challenges of existing studies at the same time. The algorithm solves the pump optimization problem in a distributed manner, achieves the minimum pump energy consumption and has the convergence guarantee. Even if some of the pumps break down, the whole system can still be working and have great flexibility. Simulation experiments on six parallel-connected pumps are provided for different working cases to demonstrate the effectiveness of the proposed algorithm and compare with the other four methods. The results show that our algorithm strictly satisfies the demand constraints and presents good energy saving potential, the convergence guarantee, and flexibility. The maximum energy saving can be up to 29.92%.

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“…Recently, we proposed a new building control architecture Insect Intelligent Building (I 2 B) [25]. This new distributed control framework is convenient for pump units.…”

Section: Distributed Methodsmentioning

confidence: 99%

Section: Distributed Methodsmentioning

confidence: 99%

A Distributed Optimization Method for Energy Saving of Parallel-Connected Pumps in HVAC Systems

2020

Self Cite

View full text Add to dashboard Cite

show abstract

“…I 2 B regards the entire building as a decentralized, flat-structured network of building space units and large electromechanical equipment [4]. Each building space unit and electromechanical equipment is controlled by a smart node, called a computing process node (CPN) [5], which is embedded with a microprocessor that has comprehensive information processing and calculating capabilities. In addition, each CPN is equipped with a communication port to support communication with the local drive controller unit (DCU).…”

Section: B Systemmentioning

confidence: 99%

“…To solve the above problems, a novel decentralized, flatstructured intelligent building control system called insect intelligent building (I 2 B) [4] has been proposed that regards the entire building as a network with a parallel computing model composed of a series of computing process nodes (CPNs) [5]. e I 2 B system changes the design pattern of the centralized system architecture of traditional intelligent buildings and has the following characteristics: efficient sharing of underlying information, self-identification, selforganization, self-coordination, easy operation, easy transformation, and easy expansion [6].…”

Section: Introductionmentioning

confidence: 99%

Touch: A Textual Programming Language for Developing APPs of Insect Intelligent Building

Chen¹,

Yang²,

Jiang³

et al. 2020

Scientific Programming

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Insect intelligent building (I2B) is a novel decentralized, flat-structured intelligent building platform with excellent flexibility and scalability. I2B allows users to develop applications that include control strategies for efficiently managing and controlling buildings. However, developing I2B APPs (applications) is considered a challenging and complex task due to the complex structural features and parallel computing models of the I2B platform. Existing studies have been shown to encounter difficulty in supporting a high degree of abstraction and in allowing users to define control scenarios in a concise and comprehensible way. This paper aims to facilitate the development of such applications and to reduce the programming difficulty. We propose Touch, a textual domain-specific language (DSL) that provides a high-level abstraction of I2B APPs. Specifically, we first establish the conceptual programming architecture of the I2B APP, making the application more intuitive by abstracting different levels of physical entities in I2B. Then, we present special language elements to effectively support the parallel computing model of the I2B platform and provide a formal definition of the concrete Touch syntax. We also implement supporting tools for Touch, including a development environment as well as target code generation. Finally, we present experimental results to demonstrate the effectiveness and efficiency of Touch.

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“…e Intelligent Insect Building (I 2 B) [1][2][3][4] is a new type of intelligent buildings. Differing from traditional intelligent building control systems, I 2 B adopts a decentralized network structure based on the space-distribution feature of buildings.…”

Section: Introductionmentioning

confidence: 99%

INR: A Programming Model for Developing APPs of Insect Intelligent Building

Zhao

Yang

Xing

et al. 2020

Scientific Programming

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Insect Intelligent Building (I2B) is a novel platform of intelligent buildings. The outstanding feature of I2B is the decentralized network structure connected by smart nodes. I2B can employ APPs (applications) developed by various practitioners or programming fans to manage and control buildings. However, due to the unique parallel operation of I2B platform and the popularization of APP developers, there still exists no effective approach to supporting I2B APP development. To deal with the challenges and provide meaningful guidance for describing and developing I2B APP and motivating the prospective programming language design, we propose INR, a programming model for I2B APP development. Three submodels in INR, namely, Individual, Neighborhood, and Region, are defined and implemented, respectively, for describing different task requirements. Moreover, new mechanisms of Tag-based programming and Clustering operation are established to support the plug-and-play and parallel abilities of APPs in I2B. Finally, we apply the programming model into an application case to illustrate the developing pattern of the I2B APP and verify the effectiveness of our approach.

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Insect Intelligent Building (I2B): A New Architecture of Building Control Systems Based on Internet of Things (IoT)

Cited by 16 publications

References 10 publications

A Distributed Optimization Method for Energy Saving of Parallel-Connected Pumps in HVAC Systems

A Distributed Optimization Method for Energy Saving of Parallel-Connected Pumps in HVAC Systems

Touch: A Textual Programming Language for Developing APPs of Insect Intelligent Building

INR: A Programming Model for Developing APPs of Insect Intelligent Building

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