Landslide refers to the soil or rock mass on the slope, which affected by factors like river erosion, groundwater activity, rainwater immersion, earthquake or artificial slope, sliding down along a certain weak or weak zone under the action of gravity. It is a common natural disaster. Its occurrence usually causes serious losses to people’s lives and property, and threatens the country’s economic construction and social development.
Due to the influence and limitation of the climate, environment, time, weather, etc., traditional manual monitoring cannot achieve real time monitoring, taking corresponding measures. It is impossible to predict the deformation trend and warning of the landslide body in time. Moreover, the occurrence of landslide geological disasters is often caused by extreme climatic conditions, the monitoring period is long (5 years) and the labor intensity is high. Therefore, the real-time data monitoring system based on “IoT” is particularly helpful and important.
Xiama village is located in Lingshui county, Guang’an city, Sichuan province. The local mountain is about 300 meters high above sea level, the slope is steep and difficult to walk. In the past few decades, landslides have occurred on the western slope of Nanshan Mountain, causing casualties and property losses. In order to ensure the safety of the villagers’ life and property around Xiama village, it is necessary to carry out automatic deformation monitoring on the slope landslide body, and analyze and report the data in real time.
Shanghai Zhichuan Electronic Technology Co., Ltd. provided the in-place inclinometer (ZCT-CX100) to monitor tilt angle changing of the slope landslide body and our engineer also provided sufficient technical support during the whole project. The project uses commercial power and solar energy to supply power, the collected data is sent to the mobile phone or computer through GPRS. The monitoring project has four sections, each is about 45 meters deep. Considering the total cost and actual monitoring situation, our technical engineers provided an optimal in-place inclinometer installation combination scheme: two sections are respectively installed with 6 probes, and the other two sections are respectively installed with 3 and 5 probes. The following picture shows the data collection point at the installation site.
Post time: 07-06-2018