A Judgment Method of Granary Thermal Insulation Based on Grain Situation Big Data
A technology of thermal insulation and big data, applied in the field of grain storage, can solve the problems of many factors and complexity of thermal insulation in granary, and achieve the effect of real-time detection results, reduced workload, and enhanced thermal insulation.
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[0114]Taking the grain situation data of a granary in Henan as an example, the size of the granary is about 61m×23m×8m, the grain height is about 6m, 112 temperature measuring cables are arranged in the warehouse, the number of rows is 14, the number of columns is 8, and the number of rows is 14. ×8 rectangular arrangement, four temperature measuring points on each cable, a total of 448 temperature measuring points; the stored grain is corn. The starting time of the data is August 18, 2017, and the ending time is May 29, 2019. In this case, the selected detection time range is 10 days, that is, the thermal insulation of the warehouse is analyzed at 10 days as a time interval.
[0115] 1. First judge the thermal insulation of the top of the warehouse, the change rate of the temperature difference at the top of the warehouse is as follows: figure 2 As shown, the change rate of the temperature difference between the warehouse temperature and the external temperature of the grai...
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