It changes all year round. In the north, in order to satisfy the public's desire to eat fresh vegetables in winter, vegetable greenhouses came into being. With the rapid development of society, people have put forward higher and higher requirements for the quality of vegetables. The temperature and humidity of the greenhouse have a great influence on the quality of vegetables. Therefore, in order to ensure the quality of vegetables, the temperature and humidity of the greenhouse must be kept within the range most suitable for the growth of vegetables. Therefore, the design of the temperature, room temperature and humidity control system are particularly important. The temperature and humidity control system based on single-chip microcomputer designed in this paper monitors and tempers the greenhouse temperature in real time through the DS18B20 and DHT11 temperature and humidity sensors, respectively, and displays the monitoring results on the liquid crystal display. The single chip microcomputer adjusts the greenhouse temperature and humidity through the monitoring results In order to keep the temperature and humidity of the greenhouse in a constant range. The temperature control system in this paper can achieve a measurement accuracy of ± 0.3 °C and a display accuracy of 0.1 °C. It can also manually adjust the temperature and humidity within a certain range to suit the growth conditions of different vegetables. The results show that the temperature measurement system has the characteristics of high accuracy, high sensitivity, stable operation and so on, which meets the performance requirements of the design. It is a reliable digital temperature measurement control system.

Guoyong Liu. Temperature and Humidity Control System of Vegetable Greenhouse Based on Single Chip Computer. Distributed Processing System (2022), Vol. 3, Issue 2: 27-41. https://doi.org/10.38007/DPS.2022.030203.

[1] Xiaoying Yang, Wanli Zhang, Qixiang Song. A Temperature Control System Design Based on 51 SCM. International Journal of Smart Home, 2016, 10(4):241-252. https://doi.org/10.14257/ijsh.2016.10.4.22

[2] SONG Xiang-qian, SHEN Chun-long, XU Sheng. Exploration and Practice of Project and the PBL Teaching Method in The Teaching of Single Chip Microcomputer. computer knowledge and technology, 2015, 78(1):173-190.

[3] Guo Hongtao. Research on Speech Control Toy Car based on Single Chip Microcomputer. International Journal of Smart Home, 2016, 10(6):261-266. https://doi.org/10.14257/ijsh.2016.10.6.25

[4] Yang L, Jiang H, Wang L, et al. [Development and application of new temperature control moxibustion device]. . chinese acupuncture & moxibustion, 2015, 35(7):745-747.

[5] Zhu Z, Liu M, Qiang S, et al. Algorithm to simulate concrete temperature control cooling pipe boundary based on heat flux integration. transactions of the chinese society of agricultural engineering, 2016, 32(9):83-89.

[6] Zongqing W, Jun D, Xiaoyan Z. Research of precise temperature control systems of high-power semiconductor lasers. laser technology, 2015, 39(3):353-356.

[7] Peter Berg, Dirk J. Koopmans, Markus Huettel. A new robust oxygen-temperature sensor for aquatic eddy covariance measurements. Limnology and oceanography, methods, 2015, 14(3):75-85. https://doi.org/10.1002/lom3.10071

[8] Tran Quang Trung, Subramaniyan Ramasundaram, Byeong-Ung Hwang. An All-Elastomeric Transparent and Stretchable Temperature Sensor for Body-Attachable Wearable Electronics. Advanced Materials, 2015, 28(3):502-509. https://doi.org/10.1002/adma.201504441

[9] Hong S, Jung W, Nazari T, et al. Thermo-optic characteristic of DNA thin solid film and its application as a biocompatible optical fiber temperature sensor. optics letters, 2017, 42(10):1943. https://doi.org/10.1364/OL.42.001943

[10] Xiaojin Yin, Wenyuan Wang, Yongqin Yu. Temperature Sensor Based on Quantum Dots Solution Encapsulated in Photonic Crystal Fiber. ieee sensors journal, 2015, 15(5):2810-2813.

[11] Pittaya Deekla, Rungrueang Phatthanakun, Sarawut Sujitjorn. Al Microheater and Ni Temperature Sensor Set based-on Photolithography with Closed-Loop Control. International Journal of Electrical & Computer Engineering, 2015, 5(4):849-858. https://doi.org/10.11591/ijece.v5i4.pp849-858

[12] Sultana, Ayesha, Alam, Md Mehebub, Middya, Tapas Ranjan. A pyroelectric generator as a self-powered temperature sensor for sustainable thermal energy harvesting from waste heat and human body heat. applied energy, 2018, 221:299-307. https://doi.org/10.1016/j.apenergy.2018.04.003

[13] Surinder Kaur , Diksha Kumari , Vandana Kumari, Control of Enviornmental Parametrs in A Greenhouse, Fusion: Practice and Applications, 2020, Vol. 1, No. 1, pp: 14-21. https://doi.org/10.54216/FPA.010102

[14] Ko M H, Ryuh B S, Kim K C, et al. Autonomous Greenhouse Mobile Robot Driving Strategies from System Integration Perspective: Review and Application. ieee/asme transactions on mechatronics, 2015, 20(4):1705-1716. https://doi.org/10.1109/TMECH.2014.2350433

[15] Yuan Li, Wenquan Niu, Jian Xu. Root morphology of greenhouse produced muskmelon under sub-surface drip irrigation with supplemental soil aeration. Scientia Horticulturae, 2016, 201:287-294. https://doi.org/10.1016/j.scienta.2016.02.018

[16] Maryam Golabadi, Pooran Golkar, Abdolreza Eghtedary. Combining ability analysis of fruit yield and morphological traits in greenhouse cucumber (Cucumis sativus L.) . Canadian Journal of Plant ence, 2015, 95(2):377-385. https://doi.org/10.4141/cjps2013-387

[17] Shixuan Pang, Hartmut Graßl, Horst Jäger. An Improved Humidity Sensor. Journal of Atmospheric & Oceanic Technology, 2016, 13(5):1110-1115. https://doi.org/10.1175/1520-0426(1996)013<1110:AIHS>2.0.CO;2

[18] Francisco J Arregui, Yanjing Liu, Ignacio R Matias. Optical fiber humidity sensor using a nano Fabry-Perot cavity formed by the ionic self-assembly method. Sensors & Actuators B Chemical, 2015, 59(1):54-59. https://doi.org/10.1016/S0925-4005(99)00232-4

[19] Kleinfeld, Elaine R, Ferguson, Gregory S. Rapid, Reversible Sorption of Water from the Vapor by a Multilayered Composite Film: A Nanostructured Humidity Sensor. Chemistry of Materials, 2016, 7(12):2327-2331. https://doi.org/10.1021/cm00060a022

[20] Y. Sakai, V. L. Rao, Y. Sadaoka. Humidity sensor composed of a microporous film of polyethylene-graft-poly-(2-acrylamido-2-methylpropane sulfonate) . Polymer Bulletin, 2015, 19(3):318-318. https://doi.org/10.1007/BF00255390

[21] Sheng-Po Chang, Shoou-Jinn Chang, Chien-Yuan Lu. A ZnO nanowire-based humidity sensor. Superlattices & Microstructures, 2016, 47(6):772-778. https://doi.org/10.1016/j.spmi.2010.03.006

[22] Sang-Woo Yun, Jae-Ryung Cha, Myoung-Seon Gong. Water-resistive humidity sensor prepared from new polyelectrolyte containing both photo-curable 4-styrylpyridinium function and thiol anchor. Sensors and Actuators B Chemical, 2015, 202(4):1109-1116. https://doi.org/10.1016/j.snb.2014.06.065

[23] Kotresh S, Ravikiran Y T, Kumari S C V, et al. Polyaniline niobium pentoxide composite as humidity sensor at room temperature. advanced materials letters, 2015, 2015(67):641-645. https://doi.org/10.5185/amlett.2015.5795

[24] Upendra Mittal, Tarikul Islam, Archibald Theodore Nimal. A Novel Sol-Gel ɣ-Al₂O₃ Thin-Film-Based Rapid SAW Humidity Sensor. IEEE Transactions on Electron Devices, 2015, 62(12):1-9. https://doi.org/10.1109/TED.2015.2492139

[25] Jií Trousil, Sergey K Filippov, Martin Hrub. System with Embedded Drug Release and Nanoparticle Degradation Sensor Showing Efficient Rifampicin Delivery into Macrophages. Nanomedicine: nanotechnology, biology, and medicine, 2017, 13(1):307-315. https://doi.org/10.1016/j.nano.2016.08.031

[26] Fei Liu, Shangran Xie, Xiaokang Qiu. Efficient Common-Mode Noise Suppression for Fiber-Optic Interferometric Sensor Using Heterodyne Demodulation. Journal of Lightwave Technology, 2016, 65(99):1-1. https://doi.org/10.1109/JLT.2016.2587319

[27] Wang, Qi Long, Li, Jian Yong, Shen, Hai Kuo. Research of Multi-Sensor Data Fusion Based on Binocular Vision Sensor and Laser Range Sensor. Key Engineering Materials, 2016, 693:1397-1404. https://doi.org/10.4028/www.scientific.net/KEM.693.1397

[28] Sha, De Lei, Xie, Wei Cheng, Fan, Xiao Long. Based on Wireless Sensor Network (NWK) of Non-Contact Tremor Monitoring Equipment Improvement for Parkinson's Disease. Applied Mechanics and Materials, 2015, 713-715:491-494. https://doi.org/10.4028/www.scientific.net/AMM.713-715.491

[29] Xu G.,Wang Z., Zhou J., Li Z., Zhan Y., Zhao H., & Li W.. (2021). Rotor Loss and Thermal Analysis of Synchronous Condenser Under Single-Phase Short-Circuit Fault in the Transmission Line. JIEEE Transactions on Energy Conversion. https://doi.org/10.1109/TEC.2021.3109608