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.

Active Publication Date: 2021-02-12
LIAONING RES INST OF GRAIN SCI +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, there are many and complex factors affecting the thermal insulation of granaries. How to effectively monitor the thermal insulation performance of granaries in real time, and how to judge the thermal insulation performance of the top and wall of granaries through the analysis of historical grain data in the process of grain storage has not yet been studied.

Method used

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  • A Judgment Method of Granary Thermal Insulation Based on Grain Situation Big Data
  • A Judgment Method of Granary Thermal Insulation Based on Grain Situation Big Data
  • A Judgment Method of Granary Thermal Insulation Based on Grain Situation Big Data

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Embodiment

[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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Abstract

The invention discloses a method for judging the thermal insulation of a granary based on the big data of grain conditions, comprising the following steps: step 1, collecting historical grain condition data, and selecting a grain temperature detection time range Δτ; step 2, calculating the ambient temperature outside the silo and the silo temperature The temperature difference change rate ΔV and the temperature difference change rate ΔV(i,j,k) of the ambient temperature outside the warehouse and the grain temperature collected by each sensor; Step 3, when the temperature difference change rate ΔV(i,j,k) The result is judged to be positive When the temperature is distributed, establish a fitting function Y(i,j,k,Δτ) of the position of the temperature measuring sensor and the rate of change of the temperature difference ΔV(i,j,k); Step 4: Use the least squares method to calculate the fitting function Coefficients A(i,j,k,Δτ), B(i,j,k,Δτ) and C(i,j,k,Δτ), calculate the coefficient of determination R of the fitting function 2 , calculate the judgment parameters D(i, j, k, Δτ) and F(i, j, k, Δτ); Step 5, judge the thermal insulation of the warehouse roof and warehouse wall of the granary; Step 6, carry out the normal situation Summarize, obtain the heat preservation performance of the whole warehouse of the said granary.

Description

technical field [0001] The invention relates to the field of grain storage, in particular to a method for judging the heat preservation of granaries based on grain situation big data. Background technique [0002] With the improvement of people's living standards, the requirements for food quality have increased, and the quality, nutrition, taste and hygiene of food have been emphasized. This has continuously increased the requirements for grain storage in warehouses. People require high-quality, high-nutrition, and low-pollution food. Just put forward a new project research topic of "Green Grain Storage" for us. Low-temperature grain storage is an effective green grain storage measure. Low temperature (below 15 degrees Celsius) can effectively delay the deterioration of grain quality, inhibit the damage of pests and microorganisms to grain, reduce the amount of chemical agents used for grain storage, or even use no chemicals. It achieves the purpose of quality preservation...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01K3/14G06F17/18G01K1/02
CPCG01K1/024G01K3/14G06F17/18
Inventor 高树成曹毅吴文福王赫韩峰王启阳崔宏伟兰天忆
Owner LIAONING RES INST OF GRAIN SCI
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