Sunlight greenhouse wireless sensor multi-data fusion method

A wireless sensor and fusion method technology, which is applied in the field of multi-data fusion of wireless sensors in solar greenhouses, can solve the problems of fusion result deviation, resource space occupation, large optimization space, and complex processing process, etc.

Inactive Publication Date: 2016-03-16
SHENYANG AGRI UNIV
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Problems solved by technology

[0003] In recent years, many researchers have studied the data fusion problem of how to improve the data accuracy in solar greenhouses. For example, the method of data fusion based on the idea of ​​Huffman tree needs to scan the data twice and then store the data in two states. , the processing process is very complicated; using the support function of the gray system theory combined with the triple exponential smoothing method for greenhouse data fusion calculations can obtain high-precision fusion resul

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  • Sunlight greenhouse wireless sensor multi-data fusion method
  • Sunlight greenhouse wireless sensor multi-data fusion method
  • Sunlight greenhouse wireless sensor multi-data fusion method

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Embodiment

[0050] A solar greenhouse in the Beishan Experimental Base of Shenyang Agricultural University was selected as the research object. The greenhouse has a ridge height of 2.8m, a span of 8m, and a length of 50m. There is no heating and forced ventilation equipment in the room, which belongs to a typical northern solar greenhouse.

[0051] The data collection and selection equipment includes: wireless environmental temperature and humidity sensors, wireless light sensors, wireless soil temperature and humidity sensors, and wireless environmental carbon dioxide sensors. The accuracy of wireless sensor experimental equipment is shown in Table 2. The data collection time was from November 9 to 11, 2014, and the collection frequency was 1 time / minute. The collected environmental parameters of the greenhouse are: greenhouse indoor temperature, soil temperature, indoor relative humidity, soil humidity, indoor light intensity in the greenhouse, greenhouse CO2 Concentration, dew point te...

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Abstract

The invention discloses a sunlight greenhouse wireless sensor multi-data fusion method. Greenhouse data are acquired in real time through a wireless sensor; a Grubbs judging criterion is used for data pretreatment; an adaptive weighted average fusion algorithm is then used, a weighted factor is derived for fusion calculation on the data, real-time north sunlight greenhouse data fusion is realized, and the real-time data precision is improved. An experimental result shows that the Grubbs judging criterion can effectively eliminate gross errors, and the data precision is improved by 8%; and the adaptive weighted average data fusion can obviously improve the data precision, the data precision is improved by 6% after fusion, the fusion result can describe the real-time greenhouse environment accurately, and more accurate basic data can be provided for control on the greenhouse environment.

Description

technical field [0001] The invention relates to the field of sensor data processing, in particular to a multi-data fusion method of a solar greenhouse wireless sensor. Background technique [0002] The winter in northern my country is long, and the time to meet the needs of crop growth is very short. However, the use of solar greenhouses can create a good environment for crop growth, solve the long-term problem of vegetable supply in winter in the north, and bring convenience for farmers to efficiently produce low-cost crops. With the continuous development of solar greenhouse technology in the north, monitoring and controlling the greenhouse environment has become inevitable. Arranging various sensors in the greenhouse for monitoring can improve the accuracy and management level of environmental control, obtain high-quality greenhouse products and ultimately improve the economic benefits of the greenhouse. play a pivotal role. However, due to the natural characteristics of...

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Application Information

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IPC IPC(8): G01D21/02
CPCG01D21/02
Inventor 陈春玲许童羽崔琳周云成须晖李天来郑伟
Owner SHENYANG AGRI UNIV
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