Tree radial growth distributed network online observation system

Abstract

The invention relates to a tree radial growth distributed network online observation system, comprising: a distributed high-precision measurement structure, a distributed node collector, an LORA ad hoc network terminal collector and a cloud platform, wherein the distributed high-precision measurement structure consists of a plurality of high-precision measurement structures, the distributed node collector consists of a plurality of node collectors, the high-precision measurement structures and the node collectors are installed on a tested tree, the high-precision measurement structures and thenode collectors are in wired connection, and multiple trees constitute distributed measurement at the same time; the LORA ad hoc network terminal collector comprises a data storage module, a data processing module, an LORA communication module, a GPRS communication module, and a solar power supply and power management module; and the cloud platform comprises an Internet server and a data management platform. The scheme of the invention can realize the automatic continuous long-term observation of the diameter at breast height (DBH) and automatically transmit the data to the cloud platform through a wireless local area network, can view the downloaded data through the cloud platform at any time, and improves the automation and intelligence level of long-term monitoring of forest ecologicalsystems.

Description

technical field [0001] The present invention relates to an online observation system for radial growth of trees in a distributed network, and relates to an online automatic observation system for tree diameter growth changes in forest ecosystems. To research fields such as long-term monitoring of arbor radial growth in forest ecosystems, forest stock volume, and carbon stock estimation. Background technique [0002] DBH is the diameter of a tree 1.3m above the ground and parallel to the ground. DBH is the most important and most easily obtained key parameter of forest ecosystems, which can directly reflect the growth and health status of forest trees, etc. It is also the core basic data for deducing canopy height, forest stock volume, biomass, productivity, carbon storage, etc. It is a must-measure core indicator for forest vegetation research, forest ecosystem monitoring, and forest resources investigation. The 1-hectare sample plot of the China Ecosystem Research Network...

AI Technical Summary

Problems solved by technology

At present, the general method of observation is manual measurement by using the DBH method or the vernier caliper method, and there is also a method of using the DBH growth ring, but it also requires manual measurement of the growth ring change, which is relatively inefficient and the accuracy can only reach the millimeter level. And the subjective error is large, so it is not suitable for high-frequency dynamic observation

At present, some foreign measuring instruments, such as RD1000, use the principle of laser ranging to measure stem growth non-contact. Although it saves time and effort compared with traditional manual measurement, it still cannot perform automatic continuous long-term high-frequency observation of positioning.

Although the Dendrometer plant growth measuring instrument produced by German ECOMATIC can realize continuous and automatic measurement of diameter at breast height, each set of instruments can only measure 4 tree diameters at breast height within 2 meters by wired connection, which is very inconvenient to install and use. The application in the forest is very limited, and the price is too high to be suitable for a large number of observations of each tree. In addition, the data is downloaded manually on a regular basis, and the derived voltage change value is recalculated to obtain the DBH value through excel, which increases the possibility of data loss or error. Unable to monitor device status online in real time

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