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Granary grain storage quantity parallel detection method

A parallel detection and quantity technology, applied in the field of artificial intelligence in the field of food storage, can solve problems such as poor generalization ability of performance models

Pending Publication Date: 2020-11-10
HENAN UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

In the above research, although the weight measurement results of grain piles are more accurate than the previous method, the generalization ability of the limited performance model is not good.

Method used

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  • Granary grain storage quantity parallel detection method

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Embodiment Construction

[0036] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work belong to the protection of the present invention. scope.

[0037] Such as Figure 7 As shown, the parallel detection method for the quantity of stored grain in the present embodiment includes the following steps:

[0038] Step S101, using a hybrid data generation method to generate virtual data samples based on real data samples;

[0039] Step S102, constructing a virtual-real interactive parallel detection m...

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Abstract

The invention belongs to the technical field of application of artificial intelligence to grain storage, and particularly relates to a granary grain storage quantity parallel detection method, which comprises the following steps of: firstly, generating virtual data samples according to real data samples by adopting a mixed data generation method, and then inputting the virtual data samples into parallel detection models, wherein a primary layer adopts decomposition condition fuzzy reasoning to perform feature extraction, realizing virtual and real data feature interaction through a feature sharing layer, realizing multi-layer feature extraction according to target function design, and then outputting the grain quantity through a regression layer; in order to further improve the generalization ability, adopting an interval type-2 fuzzy integrated virtual-real interaction parallel detection model, and finally outputting an interval type-2 fuzzy reasoning system driven by real data. The granary grain storage quantity parallel detection method is high in detection result precision and high in model generalization capability, and has important technical application and popularization values.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence applied to grain storage, and in particular relates to a parallel detection method for grain quantity in grain storage. Background technique [0002] The quantity of grain stored in grain storage is the core part of the detection of grain storage. At present, scholars at home and abroad are mainly exploring and researching two methods of detecting the quantity of grain stored in granaries. One is to directly detect the actual weight of grain in the granary, and then obtain intuitive data; The calculation rules are used to obtain the weight of the grain pile. They are called direct method and indirect method respectively. The direct method has accurate measurement results and is easy to operate, but the related equipment is expensive, susceptible to human interference, and the supervision of stored grain is relatively weak, so it is not suitable for warehouse clearance. The indir...

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Application Information

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IPC IPC(8): G06Q10/08G06N3/08
CPCG06Q10/087G06N3/08
Inventor 赵亮付园坤谢志峰张磊张坤鹏金军委刘伍丰
Owner HENAN UNIVERSITY OF TECHNOLOGY
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