Geological Disaster Monitoring Research Articles

移动LiDAR系统在地质灾害监测中的应用

本文利用移动测量技术，结合无人机航摄系统，选择多种类型的地质灾害开展日常监测应用探索。通过对现场获取的点云数据和影像数据的加工处理后的专题成果进行综合分析，达到地质灾害监测、预警和突发事件快速处理的目的。通过本文技术的应用，可以为地质灾害的监测、预警和突发事件的处理决策提供帮助，起到灾害预警和应急救灾保障作用，充分发挥了测绘在经济社会发展中的作用。 In this paper, using mobile measurement technology, combined with unmanned aerial photography system, we select a variety of types of geological disasters to carry out daily monitoring application exploration. Through the comprehensive analysis of the point cloud data and image data after processing, the purposes of geological disaster monitoring, early warning and emergency treatment are reached. Through the application of this technology, it can help the geological disaster monitoring, early warning and decision-making of emergency treatment, play the role of disaster early warning and emergency relief support, and give full play to the role of surveying and mapping in economic and social development.

Improved K-means Algorithm Based on optimizing Initial Cluster Centers and Its Application

Abstract Data mining is a process of data grouping or partitioning from the large and complex data, and the clustering analysis is an important research field in data mining. The K-means algorithm is considered to be the most important unsupervised machine learning method in clustering, which can divide all the data into k subclasses that are very different from each other. By constantly iterating, the distance between each data object and the center of its subclass is minimized. Because K-means algorithm is simple and efficient, it is applied to data mining, knowledge discovery and other fields. However, the algorithm has its inherent shortcomings, such as the K value in the K-means algorithm needs to be given in advance; clustering results are highly dependent on the selection of initial clustering centers and so on. In order to adapt to the historical data clustering of the geological disaster monitoring system, this paper presents a method to optimize the initial clustering center and the method of isolating points. The experimental results show that the improved k-means algorithm is better than the traditional clustering in terms of accuracy and stability, and the experimental results are closer to the actual data distribution.

Research of the Hardware Architecture of the Geohazards Monitoring and Early Warning System Based on the Iot

For the need of improving the capacity of the geohazards monitoring, a professional monitoring system has been developed based on the Internet of things, WSN (Wireless Sensor Network) and network communication technology. The system consists of wireless sensing network, transmission network and data monitoring and analysis center. The WSN technology was used to organize network with displacement, tilt angle and rainfall in the wireless sensing network which could achieve perception and control all aspects of the monitoring area. The monitoring data can be transferred in two methods by the transmission network which was established based on the GSM and Beidou. The wireless sensing nodes can be controlled remotely by data monitoring and analysis center. For example, the acquisition interval can be modified remotely, the current data can be controlled to return immediately and sensing nodes can be controlled to entry into low power mode in order to save power, which means that Machine to Machine mode of geological disaster monitoring had been realized in the system.

Online Near real-time Mine Disaster Monitoring System Based on Geosensor Networks

Abstract—An online automatic disaster monitoring system can reduce or prevent geological mine disasters to protect life and property. Global Navigation Satellite System receivers and the GeoRobot are two kinds of in-situ geosensors widely used for monitoring ground movements near mines. A combined monitoring solution is presented that integrates the advantages of both. In addition, a geosensor network system to be used for geological mine disaster monitoring is described. A complete online automatic mine disaster monitoring system including data transmission, data management, and complex data analysis is outlined. This paper proposes a novel overall architecture for mine disaster monitoring. This architecture can seamlessly integrate sensors for long-term, remote, and near real-time monitoring. In the architecture, three layers are used to collect, manage and process observation data. To demonstrate the applicability of the method, a system encompassing this architecture has been deployed to monitor the safety and stability of a slope at an open-pit mine in Inner Mongolia.

Application of Remote Sensing Technology in Mine Environment Monitoring

Mine environment problem caused by the exploitation of mineral resources has become a key factor which affects normal production of mine and safety of ecological environment for human settlement. For better protection and management of mine environment, this article has introduced the important role of remote sensing technology in pollution monitoring of mine environment, geological disaster monitoring and monitoring of mining activities.

The Design of Landslide Hazard Remote Monitoring System Based on STM32 MCU and GPRS

By studying the occurrence and distribution of landslide disaster, remote monitoring system for landslide hazard was developed which using STM32 microcomputer and GPRS comunication technology. The changes of slope inclination, slope displacement and rainfall were acquained in real time. Experimental results showed that the use of the system on the slope of geological disaster monitoring is convenient and with stable performance.

Displacement Parameter Inversion for a Novel Electromagnetic Underground Displacement Sensor

Underground displacement monitoring is an effective method to explore deep into rock and soil masses for execution of subsurface displacement measurements. It is not only an important means of geological hazards prediction and forecasting, but also a forefront, hot and sophisticated subject in current geological disaster monitoring. In previous research, the authors had designed a novel electromagnetic underground horizontal displacement sensor (called the H-type sensor) by combining basic electromagnetic induction principles with modern sensing techniques and established a mutual voltage measurement theoretical model called the Equation-based Equivalent Loop Approach (EELA). Based on that work, this paper presents an underground displacement inversion approach named “EELA forward modeling-approximate inversion method”. Combining the EELA forward simulation approach with the approximate optimization inversion theory, it can deduce the underground horizontal displacement through parameter inversion of the H-type sensor. Comprehensive and comparative studies have been conducted between the experimentally measured and theoretically inversed values of horizontal displacement under counterpart conditions. The results show when the measured horizontal displacements are in the 0–100 mm range, the horizontal displacement inversion discrepancy is generally tested to be less than 3 mm under varied tilt angles and initial axial distances conditions, which indicates that our proposed parameter inversion method can predict underground horizontal displacement measurements effectively and robustly for the H-type sensor and the technique is applicable for practical geo-engineering applications.

The Application of Mobile P2P Communication Mechanism in Geological Disaster Monitoring

This paper presented a method and technology about how to transmit geological disaster data. According to analyzing the NAT devices working principle, the TCP connection was created to stabilize the tuple mapping with the help of public network server, white can realize a P2P communication mechanism to transmit geological disaster data to remote PC directly. After analyzing the deficiencies about TCP protocol, some algorithms were added in application layer to improve TCP protocol in order to improve the communication mechanisms stability. By a great number of tests and practicalities, the mechanism can guarantee the geological disaster datas real-time and reliability which has some practical value to geological disaster monitoring.

Real-Time Monitoring System for Landslides Based on GPRS Technology

Landslides, as a natural phenomenon, cause a large number of casualties and property losses every year, and serious problems of people's production and living, therefore,real-time monitoring of the landslide is very important.Combination landslide uncertainty, unexpected and hidden characteristics, we need to introduce a new technology to realize the all-weather monitoring of landslide strip. Therefore, this article will focus on the introduction of GPRS technology of landslide geological disaster monitoring and landslide real-time monitoring system based on GPRS technology.

Automatic Monitoring and Warning System of Landslide and its Application

The purpose of this study is to establish a kind of geological disaster monitoring system,The system proposed in this paper has a good scalability and unified data interface in which change monitoring parameters can be changed according to the different types of disasters conveniently.The system can be widely used in monitoring of debris flow, landslide, collapse, mine tailings and other disaster.The electricity of the system is supplied by solar energy ,and it uses the wireless network through the GPRS remote communication. It can realize the remote automation monitoring of disaster and the system has been widely used in the landslide demonstrational site.

A WebGIS-Based Information System for Monitoring and Warning of Geological Disasters for Lanzhou City, China

Monitoring and warning of geological disasters accurately and in a timely fashion would dramatically mitigate casualties and economic losses. This paper takes Lanzhou city as an example and designs a Web-based system, namely the information system for geological disaster monitoring and warning (ISGDMW). Presented are its framework, key developing technologies, database, and working flow. The information system adopts a Browser/Server (B/S) structure and has three-tier architecture, combining in-situ monitoring instruments, the wireless sensor network, WebGIS techniques and the grey system theory. The framework of the ISGDMW can be divided into three categories: (1) in-situ monitoring system, it aims to monitor geological disaster sites and get state information of geological disaster sites; (2) database, manage in-situ monitoring data, antecedent field investigating data and basic data; (3) analyzing and warning system, analyze in-situ monitoring data, understand the deformation trend of the potential geological disaster, and release disaster warning information to the public. The ISGDMW allow the processes of geological disaster monitoring, in-situ monitoring data analysis, geological disaster warning to be implemented in an efficient and quick way, and can provide scientific suggestions to commanders for quick response to the possibility of geological disaster.