• Applying CS and WSN methods for improving efficiency of frozen and chilled aquatic products monitoring system in cold chain logistics

      Xiao, Xinqing; He, Qile; Fu, Zetian; Xu, Mark; Zhang, Xiaoshuan; China Agricultural University, Beijing, China; Coventry University; University of Portsmouth (Elsevier BV, 2015-09-14)
      Wireless Sensor Network (WSN) is applied widely in food cold chain logistics. However, traditional monitoring systems require significant real-time sensor data transmission which will result in heavy data traffic and communication systems overloading, and thus reduce the data collection and transmission efficiency. This research aims to develop a temperature Monitoring System for Frozen and Chilled Aquatic Products (MS-FCAP) based on WSN integrated with Compressed Sending (CS) to improve the efficiency of MS-FCAP. Through understanding the temperature and related information requirements of frozen and chilled aquatic products cold chain logistics, this paper illustrates the design of the CS model which consists of sparse sampling and data reconstruction, and shelf-life prediction. The system was implemented and evaluated in cold chain logistics between Hainan and Beijing in China. The evaluation result suggests that MS-FCAP has a high accuracy in reconstructing temperature data under variable temperature condition as well as under constant temperature condition. The result shows that MS-FCAP is capable of recovering the sampled sensor data accurately and efficiently, reflecting the real-time temperature change in the refrigerated truck during cold chain logistics, and providing effective decision support traceability for quality and safety assurance of frozen and chilled aquatic products.
    • Improving traceability and transparency of table grapes cold chain logistics by integrating WSN and correlation analysis

      Xiao, Xinqing; He, Qile; Li, Zhigang; Antoce, Arina Oana; Zhang, Xiaoshuan; China Agricultural University, Beijing, China; Beijing Laboratory of Food Quality and Safety, Beijing, China; Coventry University; Shihezi University, Shihezi, China; University of Agronomic Sciences and Veterinary Medicine of Bucharest, Bucharest, Romania (Elsevier BV, 2017-11-20)
      Effective and efficient measurement and determination of critical quality parameter(s) is the key to improve the traceability and transparency of the table grapes quality as well as the sustainability performance of the table grapes cold chain logistics, and ensure the table grapes quality and safety. This paper is to determine the critical quality parameter(s) in the cold chain logistics through the real time monitoring of the temperature fluctuation implemented with the Wireless Sensor Network (WSN), and the correlation analysis among the various quality parameters. The assessment was conducted through three experiments. Experiment I indicated that the temperature have a large fluctuation from 0 °C to 30 °C, and the critical temperatures could be determined as 0 °C, 5 °C, 10 °C, 15 °C, 20 °C, 25 °C and 30 °C. Experiment II described that the firmness and moisture loss rate, whose Pearson correlation coefficient with the sensory evaluation were all greater than 0.9 at the critical temperatures determined in Experiment I, could be the critical quality parameters. Experiment III illustrated that the critical quality parameters, firmness and moisture loss rate, could be reliable indicators of table grapes quality by the Arrhenius kinetic equation, and results showed that the evaluation model based on the firmness is better to predict the shelf life than that based on the moisture loss rate. The best quality table grapes could be provided for the consumers via the easily and directly tracing and controlling the critical quality parameters in real time in actual cold chain logistics.