Wu Yalei, Qi Lijun, Zhang Hao, Cheng Zhenzhen, Liu Wanwan, Xie Desheng, Elizabeth Musiu. Design and experiment of remote intelligent spray control system based on embedded internet[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2018, 34(20): 28-35. DOI: 10.11975/j.issn.1002-6819.2018.20.004
    Citation: Wu Yalei, Qi Lijun, Zhang Hao, Cheng Zhenzhen, Liu Wanwan, Xie Desheng, Elizabeth Musiu. Design and experiment of remote intelligent spray control system based on embedded internet[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2018, 34(20): 28-35. DOI: 10.11975/j.issn.1002-6819.2018.20.004

    Design and experiment of remote intelligent spray control system based on embedded internet

    • In view of the current weak status of intelligent management and control systems for facility of agriculture and dwarfed orchards, high labor intensity and complicated spraying environment, this article proposed an embedded technology, which took STM32F101 and STM32F103 as the core and basis, combined with 4G Internet and ultrasonic target detection algorithm, and was able to remotely control agricultural machinery to achieve the purpose of human-machine separation and precise application of pesticides. The system used Socket and multi-thread technology to implement two-way communication under the Eclipse and Keil-uvision4 development environment. With TCP communication protocol as the medium, the Android and client transferred remote routing through the Internet or wireless network card to achieve remote intelligent spray control. The test results show that: 1) Android can implement near-remote control of smart spray equipment in the LAN or Internet. The software interface returns that no stagnant state or delay occurs and it can accurately transmit control commands and achieve intermittent application of the target. 2) The bidirectional heartbeat package established by the system can force the spray equipment to be dormant in the event of communication failure. After testing, the error rate of the heartbeat packet set-up time and the spray equipment dormancy response time does not exceed 5.50%. 3). Use the video frame to locate the canopy middle line, and use the ultrasonic detection algorithm to determine the wind-distance parameters and establish the canopy volume model. Through experiments, it is found that the degree of canopy denseness has a significant impact on the measured results of the canopy volume measurement system. The text measurement system should be used in dense canopy conditions, and the measurement accuracy is as high as 94.67%. 4) The remote smart spray control system in this article can realize local network and long-distance internet communication. Use "Ping" command to check the network response to IP data packets. There is no packet loss problem and the average response time is 5 and 79 ms, respectively. 5) The degree of canopy density has a significant effect on the measurement of the canopy volume measurement system. There is a significant difference between the manual and automatic measurements of the canopy volume in sparse conditions. On the contrary, there is no significant difference between the manual and automatic measurements of the canopy volume in the dense conditions, which is suitable for measuring the canopy volume in this article. In the system, the maximum relative error is only 6.4%, and the canopy coverage and distribution uniformity will be significantly improved. 6) A remote control and optimized application system available for complete Internet-based spray equipment is designed. The system can realize human-machine separation and precise application of pesticides. Through tests, it can be seen that the detection and processing of the fuselage faults has high reliability. At the same time, it has potential application value for the transformation of traditional production modes and the promotion of smart agricultural machinery. The study can also provide reference for the automation and intellectualization of other agricultural machinery equipment.
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