Greenhouse control decision fusion method based on D-S evidence theory

A technology of evidence theory and fusion method, which is applied in the field of wireless sensor network data processing and fusion, can solve the problems of greenhouse function damage and incorrect control of greenhouse environment, and achieve the effect of reducing the degree of conflict, improving fusion accuracy and decision credibility.

Active Publication Date: 2018-01-30
HENAN UNIV OF SCI & TECH
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Problems solved by technology

However, when there is a high degree of conflict between the evidence, the D-S evidence theory often contradicts common sense in the processi...

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  • Greenhouse control decision fusion method based on D-S evidence theory
  • Greenhouse control decision fusion method based on D-S evidence theory
  • Greenhouse control decision fusion method based on D-S evidence theory

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Embodiment Construction

[0043] Embodiments of the present invention will be specifically described below with reference to the accompanying drawings.

[0044] A greenhouse control decision fusion method based on D-S evidence theory, such as figure 1 shown, including the following steps:

[0045]Step 1. Use the boxplot to extract outliers in the measured values ​​of the sensors in the greenhouse, and correct the outliers;

[0046] Step 2, clustering and merging the corrected measured values ​​to obtain a set of clustered values;

[0047] Step 3: Use the clustering value and the decision reference value to assign the probability to each subset of the identification framework of the D-S evidence theory, and establish a decision fusion framework based on the D-S evidence theory, and make a decision on the adjustment of the greenhouse through this framework. The decision reference value is generated by an expert system, and is a common parameter comparison standard in the field of greenhouse control, wh...

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Abstract

A greenhouse control decision fusion method based on a D-S evidence theory comprises the following steps of: 1, extracting a outlier from values measured by a sensor in a greenhouse by using a box plot and correcting the outlier; 2, subjecting the corrected measured value to cluster fusion to obtain a cluster value set; and 3, subjecting the cluster values to decision distribution according to theD-S evidence theory by using the cluster value set and a decision reference value set. The greenhouse control decision fusion method based on the D-S evidence theory can improve the fusion accuracy and the decision reliability of the index data in a greenhouse environment and reduce the risk of decision making.

Description

technical field [0001] The invention relates to the field of wireless sensor network data processing and fusion, in particular to a greenhouse control decision-making fusion method based on D-S evidence theory. Background technique [0002] Greenhouse, also known as greenhouse, refers to a room with cold protection, heating and light transmission facilities for cultivating temperature-loving plants in winter. In seasons that are not suitable for plant growth, it can provide a growth period and increase yield. It is mostly used for planting or raising seedlings of temperature-loving vegetables, flowers, forest trees and other plants in low temperature seasons. Existing greenhouses generally include a roll film for sealing, a fan for ventilation, and a wet curtain for increasing the humidity in the greenhouse. Most of the traditional greenhouse control methods use sensors to directly measure the environmental parameters in the greenhouse, and then compare them with the set th...

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06F17/30
Inventor 孙力帆张雅媛郑国强付主木王旭栋冀保峰普杰信
Owner HENAN UNIV OF SCI & TECH
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