Monitoring and predicting system and method for slope vegetation growth environment

Abstract

The invention discloses a monitoring and prediction system and method for a slope vegetation growth environment. The monitoring and prediction system comprises: a fixed support; an acquisition box, wherein a data acquisition instrument and a wireless communication module are arranged in the acquisition box; an environment monitoring system which is arranged at the top of the fixed support and is connected with the data acquisition instrument; a rainfall sensor which is arranged at the unshielded part of the top of the slope and is connected with the data acquisition instrument; a soil temperature, humidity and salt sensor which is buried in soil at the top of the side slope and is connected with the data acquisition instrument; a cloud platform server which performs data transmission withthe data acquisition instrument through the wireless communication module; and a solar power supply system which supplies power to the data acquisition instrument, the wireless communication module, the environment monitoring system, the rainfall sensor and the soil temperature, humidity and salt sensor. The monitoring and prediction system and method can realize long-term and remote monitoring ofthe slope vegetation growth environment, and are comprehensive in monitoring data, simple to operate and low in monitoring cost.

Description

technical field [0001] The invention relates to the technical field of ecological slope protection in slope engineering, in particular to a system and method for monitoring and predicting the vegetation growth environment of slopes in typhoon regions. Background technique [0002] In order to meet the technical requirements of highway route selection, there are a large number of high and steep slope projects in expressways. The complex rock and soil excavation of the slope will destroy the vegetation of the mountain, resulting in a large number of exposed soil slopes and rocky slopes, which will seriously cause soil erosion and ecological imbalance. Especially in the eastern coastal areas of China, which are often hit by typhoons, typhoons usually bring heavy rainfall and are usually accompanied by strong wind loads. For slope engineering in typhoon areas, it is necessary not only to maintain the stability of the rock and soil mass after being disturbed by excavation, but a...

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Problems solved by technology

[0003] The existing ecological slope protection technology only considers the beauty of greening and the stability of the slope, ignoring the long-term effect of ecological restoration, the influence of comprehensive factors such as vegetation and environmental adaptability during operation

In the relevant research on slope meteorological parameters and vegetation growth, on the one hand, there is a lack of long-term monitoring data on slope meteorological parameters, and there is no research on the long-term change law of meteorology; on the other hand, it mainly focuses on the growth of slope vegetation. Whether the short-term observation is suitable for extreme weather conditions such as typhoons has not been verified, so that the vegetation does not adapt to the surrounding meteorological conditions of the slope, resulting in difficulties in vegetation maintenance and reduced durability of slope protection.

[0004] The patent application with the application publication number CN 110006967 A proposes a vegetation growth environment monitor. The device mainly monitors the soil parameters of vegetation growth, but lacks the monitoring of other environmental parameters and cannot comprehensively monitor the vegetation growth. long-term observation

The patent application whose application publication number is CN 104237973 A proposes a meteorological monitoring system and monitoring method for early warning of rock slope landslides. It mainly monitors the water level to realize the landslide early warning device of the slope, but it cannot pass the observation Data predicts future conditions

[0005] The existing technologies cannot guarantee the long-term monitoring and short-term prediction of the growth environment of slope vegetation, and the operation of short-term monitoring instruments is complicated and the monitoring cost is high. If the existing methods are used for long-term monitoring, the maintenance of slope vegetation during the operation period will be increased. cost

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