Grain bin stored-grain quantity detection method based on detection point pressure intensity value sequence

A detection method and detection point technology, applied in the field of sensor networks, can solve the problem of not fully considering the mutual transfer problem, etc.

Active Publication Date: 2015-02-04
HENAN UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

Since the model does not fully consider the mutual transfer between side pressure and bottom pressure, it is only applicable to large granaries

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  • Grain bin stored-grain quantity detection method based on detection point pressure intensity value sequence
  • Grain bin stored-grain quantity detection method based on detection point pressure intensity value sequence
  • Grain bin stored-grain quantity detection method based on detection point pressure intensity value sequence

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Embodiment Construction

[0024] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0025] The grain quantity detection method of the present invention relates to a unique support vector regression model based on the pressure value sequence of detection points, the theoretical premise obtained by the model, the corresponding granary sensor layout, model derivation, system calibration and modeling and some The data are described in detail below.

[0026] 1. The theoretical detection model of grain storage quantity

[0027] Commonly used granaries include bungalows, shallow round bins, and silos. After the grain enters the warehouse, the top of the grain pile is required to be flattened. The shapes are roughly cylinders of varying sizes. For a given granary and grain type, it is assumed that the pressure at point s in the bottom and side of the grain pile is Q B (s), Q F (s), the average pressure on the bottom and side of the grain pile is...

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Abstract

The invention relates to a grain bin stored-grain quantity detection method based on a detection point pressure intensity value sequence. A circle of pressure sensors are arranged on the bottom face of a grain bin and the vertical distance of each pressure sensor to a closest outer wall is d; and the output value of each sensor is detected and according to a detection model (as is shown in the specification), the stored-grain weight estimation W<^> of the grain bin is calculated. According to characteristics of pressure intensity distribution of the bottom face of the grain bin and change of pressure intensity measurement values, the invention proposes the grain bin stored-grain quantity detection method of a support vector regression model, based on the detection point pressure intensity value sequence. According to a corresponding sensor arrangement method, the core technology of the method includes two parts: the support vector regression grain bin stored-grain quantity detection model based on the detection point pressure intensity value sequence and a system calibration and modeling method. The grain bin stored-grain quantity detection method has the characteristics of being high in detection precision, high in universality and adaptive to stored-grain quantity detection of a plurality of kinds of grain bin structure types and the like.

Description

technical field [0001] The invention relates to a method for detecting the quantity of stored grain by adopting a support vector regression model based on the pressure value sequence of detection points. It belongs to the technical field of sensor networks. Background technique [0002] Food security includes quantity security and quality security. The research and application of online grain quantity detection technology and system is an important guarantee technology for national grain quantity security. Carrying out research and application in this area is related to national food security, which is of great significance and will generate huge social and economic benefits. [0003] Due to the important position of grain in national security, the online detection of grain pile quantity is required to be accurate, fast and reliable. At the same time, due to the huge amount of grain and the low price, it is required that the online detection equipment for the amount of gra...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01G17/00
Inventor 张德贤张苗张元张建华肖乐樊超杨铁军张庆辉邓淼磊王高平李磊杨卫东傅洪亮王洪群王贵财许伟涛金广锋王珂刘灿堵世良
Owner HENAN UNIVERSITY OF TECHNOLOGY
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