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Granary space-time temperature field prediction method and device based on big data and interpolation prediction

A prediction method and big data technology, applied in the direction of measuring devices, thermometers, thermometers, etc., can solve the problems that the temperature distribution of the whole warehouse cannot be predicted, and the mathematical modeling and analysis of each grain warehouse is not practical, so as to achieve universal applicability and the effect of scalability

Active Publication Date: 2020-06-19
ANHUI UNIVERSITY
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  • Application Information

AI Technical Summary

Problems solved by technology

[0004]In order to solve the problem that the grain temperature prediction scheme of the existing granary cannot predict the specific temperature distribution of the whole granary, and it is not practical to perform mathematical modeling analysis on each granary Problem, the present invention provides a method and device for predicting the space-time temperature field of granaries based on big data and interpolation prediction

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  • Granary space-time temperature field prediction method and device based on big data and interpolation prediction
  • Granary space-time temperature field prediction method and device based on big data and interpolation prediction
  • Granary space-time temperature field prediction method and device based on big data and interpolation prediction

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Embodiment 1

[0079] see figure 1 , this embodiment provides a method for predicting the space-time temperature field of granaries based on big data and interpolation prediction. All-round prediction, and then use the method of spatial interpolation to interpolate the temperature points in the warehouse, and analyze the temperature in the warehouse in the form of a temperature field map. In this embodiment, the method for predicting the space-time temperature field of a granary adopts BP neural network and Kriging interpolation method to establish a space-time temperature field model of a granary, which includes the following steps.

[0080] Step S1, read grain situation data and corresponding warehouse information from a grain warehouse database. The granary database can be an existing database, and stores various information of the granary, such as grain situation data, warehouse information, management information, and the like.

[0081] Step S2, according to the warehouse status in th...

Embodiment 2

[0132] This embodiment provides a method for predicting the space-time temperature field of granaries based on big data and interpolation prediction, and a simulation experiment is carried out on the basis of Embodiment 1. In the grain database, a warehouse under a certain grain user is used to predict the temperature field. The data range is the historical data of the last half year, with a total of 328 pieces of data. The maximum training times of the BP neural network is 5000 times, the learning rate is 0.05, and the training accuracy is 1e-3. The row and column layers of the warehouse are 7 rows, 6 columns and 4 floors.

[0133] First, take out the historical data of the warehouse for processing. For the temperature field section to be predicted, according to the position of the temperature point, the corresponding variable data is obtained as the input sequence of the BP neural network. For example: For the prediction of the outer layer temperature point whose coordinat...

Embodiment 3

[0141] This embodiment provides a granary space-time temperature field prediction device based on big data and interpolation prediction, which applies the method for predicting the granary space-time temperature field based on big data and interpolation prediction in Embodiment 1, and includes data reading module, data interception module, reconstruction module, section selection module, temperature point judgment module, sample data selection module 1, sample data selection module 2, sample data input module, initial setting module, calculation module, correction module, training judgment module, Prediction module and temperature field acquisition module.

[0142]The data reading module is used to read grain situation data and corresponding warehouse information from a granary database, which can realize step S1 in Embodiment 1. The data interception module is used to intercept data at different time points according to the warehouse status in the warehouse information, and t...

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Abstract

The invention discloses a granary space-time temperature field prediction method and device based on big data and interpolation prediction. The method comprises the steps: reading grain condition dataand warehouse information; intercepting data at different time points as a data basis; carrying out 3D reconstruction on the temperature in the warehouse; selecting a to-be-predicted cross section, and predicting the temperature time sequence of the cross section; for a temperature point to be predicted in the selected section, judging whether the coordinate position is an outer-layer coordinatepoint or not; inputting the sample data as an input sequence; initializing, and setting a training period and precision; calculating the actual output of the network layer; calculating an error and correcting a weight value and a threshold value; training the neural network and judging whether the training precision reaches preset precision or not or whether the training period reaches a preset period or not, and if yes, predicting a temperature value; and obtaining a predicted temperature field diagram of the cross section by utilizing the predicted cross section discrete temperature point spatial interpolation. The change trend of the temperature field in the granary is accurately predicted, the internal temperature information of the granary grain pile is visually and effectively reflected, and the grain storage quality is guaranteed.

Description

technical field [0001] The present invention relates to a temperature field prediction method in the technical field of grain storage, in particular to a granary space-time temperature field prediction method based on big data and interpolation prediction, and also to a granary space-time temperature field prediction method based on big data and interpolation prediction using the method. Temperature field prediction device. Background technique [0002] At present, many large granaries have been built in China, and the capacity of a single warehouse is several times that of the single warehouse built in the past. Mildew occurs in the granaries, and the problem of pests is also more serious. Grain is a special and complex living body, and the change law of the temperature field inside the grain pile has become extremely complicated. Therefore, accurately grasping the temperature distribution of the granary and reasonably analyzing and predicting the temperature change trend o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06N3/04G06N3/08G01K13/00G06F119/08
CPCG06N3/084G01K13/00G06N3/045
Inventor 王传旭王康张红伟李学戚晓东崔逊龙
Owner ANHUI UNIVERSITY
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