Real-time deformation monitoring with GPS and Kalman Filter

Abstract

The main purpose of this research is to develop a real-time GPS monitoring system with the aid of a Kalman Filter for use in an active tectonic region near Istanbul, and its surrounding region. Currently, an ongoing project exists, funded by the World Bank, that monitors deformation in Istanbul and the Marmara Region. Istanbul is one of the largest cities in the world, and is under possible earthquake threat. In order to set up a powerful control system, a surveying and estimation method was designed and the necessary software, called RT-MODS2 (Real-Time Monitoring Of Dynamic Systems 2), was developed. The software reads real-time input data from GPS receivers and performs deformation analyses with the help of the Kalman Filter. Some studies of filtering and deformation analysis were performed in order to detect failures and outliers, and to increase the reliability of the deformation analysis.

Evaluation and Analysis of Dam Operating Status Using One Clock-Synchronized Dual-Antenna Receiver

“…Jiang et al developed the GPS deformation monitoring system of reservoir dam and achieve the automated, high-precision dam deformation monitoring [10][11][12][13]. Unfortunately, the cost of the system is also too high, caused by the geodetic receivers.…”

“…Meanwhile, not like the traditional GNSS multiantenna technology, the dual-channel RF front-end and digital correlator share the same clock module, avoiding cycle slip error and realizing singleepoch positioning, owing to electronic component reduction of clock-synchronized dual-antenna receivers, the newgeneration N71JN from Shanghai Huace Navigation Technology Ltd. in Figure 1, which has low cost (<$1565) and light (<3.6 kg). Moreover, most of the dam GNSS surface monitoring schemes are unreasonable, and GNSS monitoring station overabundance results in tremendous waste of equipment resources [4,6,10,12,14].…”

Monitoring of bridge deformation using GPS technique

“…The threshold of 5-10 mm has been documented mostly on the basis of experiments in which the known oscillatory movement of a certain device was compared with that recorded by a GPS receiver mounted on this device in comparison to another nearby GPS receiver fixed on stable ground (Panson et al, 2008). Real-time kinematics (RTK) GPS technology is an important development to aid continuous deformation monitoring, where the timely detection of any deformation is critical (Ince et al, 2000). Monitoring the bridge deformation with GPS has following advantages (Yu et al, 2006):…”

Dam Deformation Monitoring Data Analysis Using Space-Time Kalman Filter

“…Dam deformation monitoring and its data processing are effective ways to assess dam safety and avoid possible dam failures [1]. Kalman filter, an effective data processing method for dynamic systems, has been widely used in deformation monitoring data processing [2,3], and improved Kalman filter methods, such as the Kalman filter for colored measurement noise and the robust Kalman filter, have been developed for deformation data analysis [4][5][6]. However, all these applications are based on single point monitoring data series, without considering the spatial correlation between monitoring points.…”