Research On Multi-point Temperature Monitoring And Optimal Configuration In The Greenhouse For Oyster Mushroom Cultivation

China is a big agricultural country in the world with a large population.Agricultural development is closely related to the basic livelihood of the people.In recent years,the northern part of China has been devoted to greenhouse research,and the research results in this regard are quite rich.However,with the increase of farmers' demand for crop growth in greenhouse and the impact of cost and benefit,the requirement for temperature change in greenhouse becomes higher and higher.Therefore,this study aimed at the greenhouse environment characteristics of Pleurotus ostreatus cultivation in the western suburbs of Jixi City,Heilongjiang Province.aking the solar greenhouse planted with Pleurotus ostreatus as the research object,Fuzzy C-means(FCM)clustering algorithm is used as optimization method.The temperature difference,error analysis and comparison validation before and after optimization are analyzed through comparative analysis.Using TAM-18B20-48 L multi-channel temperature acquisition module,DS18B20 temperature sensor,AS62-DTU30 wireless data transmission radio and ModScan32 monitoring system platform and other equipment,The change of temperature in greenhouse during the whole day under the condition of heating at night and without heating at night was studied.Temperature changes in Greenhouse in time and space were obtained.Through this study,this paper draws the following conclusions:(1)Studying the temperature change in time and space of greenhouse,we can see that the night temperature in greenhouse is generally lower than 5 ? when it is not heated.The intermediate temperature is higher than the North-South temperature.The temperature on the west side is higher than that on the East side.The temperature of the roof is high.However,the temperature of greenhouse in greenhouse after 16:30 p.m.heating is kept between 5 and 10 degrees ? elsius.The intermediate temperature is higher than the North-South temperature.The temperature on the east side is higher than that on the West side.The temperature of the roof is high.It conforms to the general greenhouse change law.(2)Fuzzy C-means(FCM)clustering algorithm was used to optimize the distribution points of environmental monitoring in greenhouses.By comparing the classification of fuzzy groups,At that time,the Euclidean distance was the smallest and the membership degree was larger.The effect of arranging the number of monitoring points is the most ideal in the four groups,and thelocation of six monitoring points is determined.(3)By means of error analysis,comparing the average temperature before and after optimization,and comparing and verifying the temperature changes in recent days.Under the condition of no heating at night,the maximum temperature difference before and after optimization is 0.2 ?.Under the condition of heating at night,the maximum temperature difference before and after optimization is 0.6?.After optimization,the average relative error is0.9% in the case of no heating at night and 1.3% in the case of heating.It was found that the experimental greenhouse accorded with the change of temperature field of general greenhouse,and the scheme of test site distribution was feasible.It can be concluded from the experiment that the optimum number of optimal layout schemes is 6monitoring points.