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Farming data collecting and transmitting method

A technology of data acquisition and transmission method, which is applied in the field of agricultural and agricultural data transmission and processing, which can solve the problems of receiving end recovery error, high data energy consumption, and large amount of sent data, so as to prolong the life cycle, realize high-precision reconstruction, reduce The effect of transmission cost and energy consumption

Inactive Publication Date: 2019-04-12
BEIJING XINDA YUHUALIN WATER SAVING EQUIP +1
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  • Application Information

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Problems solved by technology

However, these traditional compression methods also have defects: after the data is compressed and transmitted, there is a certain error in the recovery of the receiving end; the compression ratio is not high and the amount of data sent is large, resulting in high energy consumption when the node transmits data wirelessly

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  • Farming data collecting and transmitting method

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Embodiment

[0034] Compressed sensing theory (CS, Compress Sensing), as a new information acquisition method, was initially used to solve the problem of image signal acquisition and processing. The theory points out that as long as the signal can be represented in a suitable orthogonal base sparsity, the signal can obtain the global observation value at a frequency much lower than the Nyquist sampling rate, that is, the signal can be sampled at a lower sampling frequency, and The original signal can be reconstructed from the observations with high probability and high precision by an appropriate reconstruction algorithm.

[0035] Such as figure 1 As shown, the embodiment of the present invention applies the CS technology to the wireless sensor network to collect and transmit agricultural data. Specifically include the following steps:

[0036] Step S110: the sensor node collects the original monitoring data, uses the compressed sensing theory to compress the original monitoring data to ...

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Abstract

The invention provides a farming data collecting and transmitting method, and relates to the technical field of agricultural farming data transmitting and processing. A sensor node collects original monitoring data, the original monitoring data are subjected to compressed sensing through a compressed sensing theory to obtain a sensing parameter vector, and the sensing parameter vector is transmitted to a convergence node; the convergence node conducts dimensionality reduction processing on the sensing parameter vector, an encoding vector is obtained, and the encoding vector is sent to a back-end server through a wireless transmission channel; the back-end server constructs a biorthogonal wavelet transformation matrix capable of conducting sparse representation on the original monitoring data; and the back-end server constructs a data reconstruction model according to the biorthogonal wavelet transformation matrix, and the encoding vector is reconstructed based on an orthogonal matchingpursuit algorithm to obtain the original monitoring data. A wireless collecting and transmitting method of farming data is put forward by combining a compressed sensing technology, and thus the problems of large data size and large wireless transmission energy consumption in a network can be solved well.

Description

technical field [0001] The invention relates to the technical field of agricultural data transmission and processing, in particular to a method for collecting and transmitting agricultural data that can reduce energy consumption of sensor nodes. Background technique [0002] Agriculture is a basic industry. In order to keep pace with the era of big data, traditional agricultural production methods should be transformed into data-driven intelligent production methods. Science and technology such as cloud computing, big data, and the Internet will be the main driving force for this transformation. Based on this, the theoretical circles have carried out a lot of exploration on agricultural big data. Zhang Haoran and others introduced the concept and application technology of big data. Wen Fujiang explained the strategic significance and synergy mechanism of agricultural big data research. However, the application of agricultural big data is the most researched in the field of ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01D21/02G08C17/02
CPCG01D21/02G08C17/02
Inventor 秦磊赵乐诗魏统全张爱强
Owner BEIJING XINDA YUHUALIN WATER SAVING EQUIP
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