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A Decision Fusion Method for Greenhouse Control Based on d-s Evidence Theory

A technology of evidence theory and fusion method, applied in the field of wireless sensor network data processing and fusion, can solve the problems of greenhouse function damage and wrong control of greenhouse environment, so as to reduce the degree of conflict, reduce decision-making risk, improve fusion accuracy and decision-making credibility degree of effect

Active Publication Date: 2020-04-24
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 processing results, and the wrong processing results will cause wrong control of the greenhouse environment, resulting in damage to the greenhouse function

Method used

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  • A Decision Fusion Method for Greenhouse Control Based on d-s Evidence Theory
  • A Decision Fusion Method for Greenhouse Control Based on d-s Evidence Theory
  • A Decision Fusion Method for Greenhouse Control 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 the outliers in the sensor measurement values ​​in the greenhouse, and correct the outliers;

[0046] Step 2: Clustering and merging the corrected measurement values ​​to obtain a clustering value set;

[0047] Step 3: Use the clustering value and the decision reference value to assign 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 decisions 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, which is t...

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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 fusion method based on D-S evidence theory. Background technique [0002] Greenhouse, also known as conservatory, refers to a room with facilities such as cold protection, heating and light transmission for cultivating temperature-loving plants in winter. In the season that is not suitable for plant growth, it can provide growth period and increase yield, and is mostly used for plant cultivation or seedling raising of warm vegetables, flowers, forest trees and so on in low temperature season. Existing greenhouses typically include roll film for closure, fans for ventilation, and wet curtains for increasing 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 with the set thresholds to adjust the ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q10/06G06F16/28
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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