Cloud-based monitoring and controlling system for the growth environment of multi-variety vegetable plant factories

Jingjing Xing; Shixiong Li; Mengdan Wang; Yu Tan

doi:10.1117/12.2679639

16 June 2023 Cloud-based monitoring and controlling system for the growth environment of multi-variety vegetable plant factories

Jingjing Xing, Shixiong Li, Mengdan Wang, Yu Tan

Author Affiliations +

Proceedings Volume 12702, International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2023); 1270209 (2023) https://doi.org/10.1117/12.2679639
Event: International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2023), 2023, Changsha, China

Abstract

The control of PH and EC in the nutrient solution of hydroponic plant factories is a key factor affecting the yield and quality of plants. In this paper, a cloud-based system for environmental factors in plant factories is studied for the need of real-time, remote, automatic and accurate monitoring and controlling of PH and EC values of nutrient solution in multi-species vegetable hydroponic plant factories. The system includes information acquisition module, data transmission module, remote monitoring module, local control and execution module, which can realize information monitoring and control of nutrient solution environmental data of multi-equipment and multi-species vegetables in plant factories. Real-time data monitoring and control of PH and EC values in nutrient solution can be carried out both remotely and on site. Meanwhile, the automatic control of PH and EC values in nutrient solution based on PID algorithm ensures that each environmental factor is in the target range suitable for plant growth. The test results show that the system is stable and reliable, and can realize intelligent detection and control of nutrient solution environment in multiple areas of plant factories.

Citation Download Citation

Jingjing Xing, Shixiong Li, Mengdan Wang, and Yu Tan "Cloud-based monitoring and controlling system for the growth environment of multi-variety vegetable plant factories", Proc. SPIE 12702, International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2023), 1270209 (16 June 2023); https://doi.org/10.1117/12.2679639

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