Self-powered wireless flexible sensing for food storage based on triboelectric-electromagnetic generator

被引:6
作者
Wu, Zihao [1 ]
Chen, Xujun [1 ]
Wan, Zhengzhong [1 ]
Chi, Junjie [1 ]
Zhang, Ruihua [1 ]
Wang, Meng [1 ]
Song, Danyao [1 ]
Xiao, Xinqing [1 ,2 ,3 ]
机构
[1] China Agr Univ, Coll Engn, Beijing 100083, Peoples R China
[2] Liaoning Tech Univ, Liaoning Key Lab Radio Frequency & Big Data Intell, Huludao 125105, Peoples R China
[3] China Agr Univ, Beijing 100083, Peoples R China
关键词
Triboelectric generator; Self -powered system; CA storage for foods; FVS; EMG; Flexible sensing; NANOGENERATOR; SENSORS; IOT;
D O I
10.1016/j.mtsust.2024.100781
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In Controlled Atmosphere (CA) food storage, maintaining optimal conditions, including gas concentration, temperature, and humidity on the food surface, is crucial. This paper proposes the application of a self-powered wireless flexible sensing system based on a triboelectric-electromagnetic generator in food CA storage. To configure certain concentrations of mixed CA gases, we need to accurately control the volume of CA gas input into the mixed gas tank within a certain period, and the gas flow velocity in the pipeline will directly affect this factor. The gas flow velocity in the pipeline is detected by the CA gas flow velocity detection part (FVS) with an independent layer working mode triboelectric nanogenerator (FV-TENG) as the main component. Simultaneously, a flexible Temperature and Humidity Sensor (THS) affixed to the food surface provides real-time monitoring. EMG collects irregular wind energy in the CA warehouse to provide energy for the processing of information in the system and wireless transmission to the IoT cloud platform, realizing the system's self-power and wireless transmission. The self-powered wireless sensing system facilitates remote collection of CA gas flow velocity data, precise control of mixed atmosphere gas concentrations, and real-time monitoring of food surface temperature and humidity in the CA warehouse.
引用
收藏
页数:12
相关论文
共 53 条
  • [1] Adankpo M.T.Y., 2023, Examining Airflow Velocity Distribution Measurement in Large Ducts: Introducing an Innovative Automatic PositioningBased Concept for Multipoint Single Probe Hot-Wire Anemometry
  • [2] Bankruptcy problem in energy warehouse: Applications and challenges
    Albalawi, Hani
    Eisa, Amir
    Aggoune, el-Hadi
    [J]. AIN SHAMS ENGINEERING JOURNAL, 2023, 14 (07)
  • [3] Thermal flow sensor used for thermal mass flowmeter
    Bekraoui, Amina
    Hadjadj, Ahmed
    [J]. MICROELECTRONICS JOURNAL, 2020, 103
  • [4] Bodbodak S., 2016, 2 ADV CONTROLLED ATM, P39, DOI [DOI 10.1016/B978-0-12-804313-4.00002-5, 10.1016/B978-0-12-804313-4.00002-5]
  • [5] Integrated core-shell structured smart textiles for active NO2 concentration and pressure monitoring
    Chen, Chunxu
    Xie, Guangzhong
    Dai, Jing
    Li, Weixiong
    Cai, Yulin
    Li, Jing
    Zhang, Qiuping
    Tai, Huiling
    Jiang, Yadong
    Su, Yuanjie
    [J]. NANO ENERGY, 2023, 116
  • [6] Design of a High Precision Ultrasonic Gas Flowmeter
    Chen, Jianfeng
    Zhang, Kai
    Wang, Leiyang
    Yang, Mingyue
    [J]. SENSORS, 2020, 20 (17) : 1 - 18
  • [7] Hierarchical piezoelectric composite film for self-powered moisture detection and wearable biomonitoring
    Dai, Jing
    Xie, Guangzhong
    Chen, Chunxu
    Liu, Yulin
    Tai, Huiling
    Jiang, Yadong
    Su, Yuanjie
    [J]. APPLIED PHYSICS LETTERS, 2024, 124 (05)
  • [8] Dilley D. R., 2006, Stewart Postharvest Review, V2, P1, DOI 10.2212/spr.2006.6.5
  • [9] Triboelectric-electromagnetic hybrid nanogenerator driven by wind for self-powered wireless transmission in Internet of Things and self-powered wind speed sensor
    Fan, Xueming
    He, Jian
    Mu, Jiliang
    Qian, Jichao
    Zhang, Ning
    Yang, Changjun
    Hou, Xiaojuan
    Geng, Wenping
    Wang, Xiangdong
    Chou, Xiujian
    [J]. NANO ENERGY, 2020, 68 (68)
  • [10] A Self-Powered Flow Velocity Sensing System Based on Hybrid Piezo-Triboelectric Nanogenerator
    Ge, Chengpeng
    Ma, Jijie
    Hu, Yili
    Li, Jianping
    Zhang, Yu
    He, Xinsheng
    Cheng, Tinghai
    Wen, Jianming
    [J]. ADVANCED MATERIALS TECHNOLOGIES, 2023, 8 (05)