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Abstract:
During any emergency response, the real-time GNSS data analysis strategies based on differential approach (i.e. Real Time Kinematic) needs some crucial a-priori information on the reference stations. In addition to their location in an undeformed area, this choice can be also influenced by other parameters (RMS of the time series, battery voltages, transmission on/off, number of visible satellites, etc.). For this reason, we developed an intelligent homemade algorithm BC-RTK (Base Choice - RTK) able to choose the more reliable baselines to potentially provide the best RTK results, it defines stations’ priority to the real-time GNSS analysis whose results are stored in a time-series database. This algorithm is a part of a software, called GNSS-RTT(Global Navigation Satellite System - Real Time Tracker), developed in 2022/2023. It is an open source software that can be either connected to different GNSS receivers through a different type of connection (Tcp/ip, Ntrip, etc.) or linked to a Ntrip Caster. For the solutions, it is able to get the data in different formats (NMEA, LLH,XYZ, etc.) and at different sampling frequencies up to 200 Hz. The data is stored in an optimized database called InfluxDB(https://www.influxdata.com) for real-time and IoT applications. It was developed to manage the data efficiently, allowing both real-time and post-processed visualization. The visualization is performed by means of web applications, such as Grafana (https://grafana.com) or Chronograf (https://www.influxdata.com/time-series-platform/chronograf). We will describe the technical aspects relating to the presented software and some preliminary results in test cases.
