Research on Building Energy Consumption Acquisition System Based on Configuration

被引:1
|
作者
Zeng, Qinghao [1 ]
Tang, Renjun [2 ]
Chen, Xianjun [1 ]
Pan, Hang [3 ]
Chen, Jinlong [3 ]
Zhou, Hui [3 ]
机构
[1] Guilin Univ Elect Technol, Guangxi Key Lab Cryptog & Informat Secur, Guilin 541004, Guangxi, Peoples R China
[2] Guilin Univ Elect Technol, Key Lab Intelligent Proc Comp Image & Graph, Guilin 541004, Guangxi, Peoples R China
[3] Guilin Univ Elect Technol, Guangxi Cooperat Innovat Ctr Cloud Comp & Big Dat, Guilin 541004, Guangxi, Peoples R China
来源
CLOUD COMPUTING AND SECURITY, PT V | 2018年 / 11067卷
关键词
Energy consumption acquisition; Configuration; Data transmission; WAN communication;
D O I
10.1007/978-3-030-00018-9_57
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Based on the problem of low stability and high network latency in the traditional building energy consumption acquisition system, in this paper, a building energy consumption acquisition system based on configuration is proposed. The system adopts the embedded technology and WAN communication technology such as TCP/IP, GSM, ZigBee, NB-loT and so on. Sensor-based system, the configuration system to support, embedded MCU as the core, a variety of network communication technologies complement each other, constitute the entire building energy collection system. Through experiments, the system can stably and quickly acquire the data information of the running equipment inside the building, and at the same time it can ensure the integrity and correctness of the data information transmission process. The system has the advantages of high automation, high reliability and fast transmission speed.
引用
收藏
页码:648 / 657
页数:10
相关论文
共 50 条
  • [31] Research on Building Energy Consumption Prediction Based on Improved PSO Fusion LSSVM Model
    Zhang, Suli
    Chang, Yiting
    Li, Hui
    You, Guanghao
    ENERGIES, 2024, 17 (17)
  • [32] Research on green building energy consumption monitoring method based on discrete cuckoo algorithm
    Lu, Jinfeng
    Li, Xiaoliang
    INTERNATIONAL JOURNAL OF CRITICAL INFRASTRUCTURES, 2022, 18 (04) : 304 - 320
  • [33] Research on sustainability evaluation of green building engineering based on artificial intelligence and energy consumption
    Xiang, Yong
    Chen, Yonghua
    Xu, Jiaojiao
    Chen, Zheyou
    ENERGY REPORTS, 2022, 8 : 11378 - 11391
  • [34] Predication of building energy consumption based on PLSR
    Mu, Hailin
    Zhang, Ming
    Kang, Xudong
    Ning, Yadong
    Song, Yongchen
    FIRST INTERNATIONAL CONFERENCE ON BUILDING ENERGY AND ENVIRONMENT, PROCEEDINGS VOLS 1-3, 2008, : 1971 - 1978
  • [35] Research on building energy smart grid based on natural gas based distributed energy system
    College of Civil Engineering, Hunan University, Changsha 410082, China
    Kung Cheng Je Wu Li Hsueh Pao, 12 (2047-2051):
  • [36] Research on a New Electromechanical Energy Acquisition System
    Zhang, Qingxin
    Yang, Jikun
    Yang, Jing
    Lin, Kai
    2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2017, : 6853 - 6857
  • [37] The research of data acquisition of PLC based on configuration software KINGVIEW
    Ai, H
    Wang, J
    Li, ZX
    ISTM/2005: 6th International Symposium on Test and Measurement, Vols 1-9, Conference Proceedings, 2005, : 350 - 353
  • [38] A hybrid cooling system to reduce building energy consumption
    Guan, Lisa
    Bell, John
    Sharp, Alan
    Ball, Michael
    Gilbert, Dale
    FIRST INTERNATIONAL CONFERENCE ON BUILDING ENERGY AND ENVIRONMENT, PROCEEDINGS VOLS 1-3, 2008, : 533 - 540
  • [39] EXPERT SYSTEM FOR BUILDING ENERGY-CONSUMPTION CONTROL
    PACKALEN, P
    INTERNATIONAL SYMPOSIUM - ENERGY OPTIONS FOR THE YEAR 2000 : CONTEMPORARY CONCEPTS IN TECHNOLOGY AND POLICY, VOLS 1-4: ENERGY SYSTEM ; TECHNOLOGY FUTURES : ENERGY BUILDINGS ; INTERNATIONAL COOPERATION, 1988, : C77 - C83
  • [40] Research on optimal configuration of hybrid energy storage system based on improved CEEMDAN
    Gao, Xiaozhi
    Wang, Lei
    Sun, Huiqin
    Tian, Jin
    Wang, Zhiqiang
    Jiang, Jing
    Guo, Wang
    ENERGY REPORTS, 2021, 7 : 1308 - 1318