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Data acquisition method for multi-parameter real-time monitoring

A technology for real-time monitoring and data collection, which is applied in digital transmission systems, instruments, and error prevention. Robustness, the effect of reducing the amount of data transfer

Inactive Publication Date: 2013-09-04
CHINA AGRI UNIV
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in practical applications, there are still the following problems: the collected sensing data is often not sparse, which makes it impossible to reconstruct the sensing data well; in addition, the dimension N of the collected sensing data is often relatively large, Not suitable for smaller scale real-time monitoring network

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  • Data acquisition method for multi-parameter real-time monitoring

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Embodiment Construction

[0025] The present invention will be further described below by specific examples.

[0026] Take the wireless temperature and humidity sensor data tested by the cold storage constant temperature 0°C test as an example, such as figure 2 Shown is the deployment of nodes in the wireless sensor network, the sensor nodes are deployed in the cold storage, and the coordinator is arranged outside the cold storage. image 3 Shown is the hardware circuit diagram of the sensor node, using TI's low-power system-on-chip CC2530 for data acquisition and processing, and the RF front-end CC2591 for enhancing the transmission distance of the system.

[0027] Such as figure 1 As shown, the key to applying the present invention to temperature and humidity data collection in cold storage is to follow the steps below:

[0028] Step (1): The sensor nodes collect the temperature and humidity data of different areas in the cold storage. The sensors are set to collect data every 1 minute, and the se...

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Abstract

The invention discloses a data acquisition method for multi-parameter real-time monitoring. In the data acquisition method, the latest compressive sensing technology is employed. a plurality of sensing parameters acquired for each sensor node is firstly observed and coded by using a random matrix and then sent to a remote real-time data monitoring terminal by wireless transmission. When the monitoring terminal receives data, a data reconstruction model is established by reconstructing a biorthogonal wavelet transformational matrix capable of performing sparse representation on the sensing data; and finally high-precision reconstruction of the multi-sensor data is completed by using an orthogonal matching pursuit (OMP) algorithm. The data acquisition method can realize high-precision construction by using a small amount of observation data, is suitable for situations that node resources in a wireless sensor network are limit and data transmission volume is large, effectively prolongs a life cycle of a sensor network, increases wireless transmission efficiency and robustness of the multi-parameter monitoring, and further enhances the real-time performance of the system monitoring.

Description

technical field [0001] The invention belongs to the field of information processing and data transmission in a wireless sensor network, and in particular relates to a data collection method for multi-parameter real-time monitoring. Background technique [0002] In recent years, wireless sensor networks have been widely used in real-time monitoring of the Internet of Things. In these applications, especially in the multi-parameter real-time monitoring process, each sensor node will collect a large amount of data, but the processing power, storage space, communication bandwidth and energy resources of the sensor node are very limited, and cannot be as traditional information systems. Process and store large amounts of data. At the same time, the transmission of a large amount of data consumes too much energy of the node and shortens the life of the node. Therefore, it is necessary to find an efficient data information transmission technology to reduce network energy consumpt...

Claims

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Application Information

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IPC IPC(8): G08C17/02H04L1/00
Inventor 张小栓张健肖新清齐林
Owner CHINA AGRI UNIV
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