Huge building structure wireless sensor monitoring network system for improving sampling frequency

Abstract

The invention discloses a huge building structure wireless sensor monitoring network system for improving sampling frequency. The system is composed of monitoring measurement points, routing nodes and a collection terminal. Each measurement point and each routing node are equipped with independent ID information. Wireless communication instructions comprise related ID information and instruction serial numbers. The routing nodes and the monitoring measurement points can carry out operation by identifying corresponding information. Each measurement point can carry out repeated automatic collection independently. Collected data is directly stored in a dynamic storage module. Data passback is not carried out through wireless communication. After the collection is finished, the measurement points can be efficiently read / written by establishing corresponding index guarantee data. A storage space is reduced through smart data compression and identification technologies. The data stored in the dynamic storage module can be passed back to the collection terminal one by one in a segmenting and packaging mode, the times of wireless communication is reduced greatly, and the power consumption of the measurement points is reduced.

Description

technical field [0001] The invention relates to a wireless sensor monitoring network system for a large building structure, in particular to a wireless sensor monitoring network system for a large building structure with increased sampling frequency. Background technique [0002] By combining sensing technology and wireless transmission technology, the wireless sensor system combines the sensors scattered in various parts of the structure into a sensor network. The wireless signal is fully covered, so that monitoring points can be arranged without restriction, and more comprehensive and complete health monitoring information can be obtained. However, when the wireless sensing system is applied to the field of health monitoring of large building structures, since there are many types and quantities of monitoring points, and the distance between the measuring points is usually quite far, a specific adaptable wireless group must be used. Network system can realize the full cov...

AI Technical Summary

Problems solved by technology

[0003] In the existing wireless sensor system, low-power single-chip microcomputer is usually used as the central processing unit, and the single-chip microcomputer can only perform single-threaded operation due to insufficient performance, so the collected data and the returned data usually cannot run independently

At the same time, because the data transmitted by the wireless sensor system is relatively simple and the system has very strict requirements on power consumption, the existing wireless sensor system usually uses a custom wireless communication protocol, and the biggest drawback of the low-power custom communication protocol is That is, only one instruction can be received or sent at the same time during the transmission process, otherwise it will cause conflicts between instructions

Therefore, the existing wireless sensing system can only carry out data communication through traversal communication. For small-scale structural health monitoring, this data communication mode can be barely applicable. If the object of health monitoring is a large building structure, the system There may be hundreds or thousands of measuring points of different types. At this time, if this communication mode is used, the sampling frequency of a single measuring point will be greatly reduced.

At this time, not only the synchronization of data collected by all measuring points cannot be effectively guaranteed, but also it is no longer possible to realize high-frequency dynamic monitoring of a single measuring point.

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