Case Study - High Sample Rate Data (HSD) Acquisition Software
A secure, on-premises system for acquiring, monitoring, and analyzing high sample rate seismic data from stations across Australia and its territories.
- Client
- Seismic Data Collection and Distribution System
- Year
- Service
- Data acquisition software, Real-time monitoring, On-prem deployment, CLI tools, Visualization
Overview
Seismic stations generate enormous volumes of high-frequency data. Traditionally, ingesting this High Sample Rate Data (HSD) was manual and error-prone, requiring significant time from seismologists and technical staff.
We designed and built a robust acquisition system to automate this process. Developed in Python and deployed on-premises behind a secure network, the system collects, validates, and stores seismic data in near real-time. A threshold-based trigger detects heightened seismic activity and initiates targeted downloads, including time-aligned graph generation using D3.js.
The platform also features a GUI dashboard for monitoring sensor health and a command-line interface for manual data requests by seismologists. With structural consistency and minimal manual intervention, the software significantly improves reliability and operational efficiency for scientific research and national monitoring.Seismic stations generate enormous volumes of high-frequency data. Traditionally, ingesting this High Sample Rate Data (HSD) was manual and error-prone, requiring significant time from seismologists and technical staff.
We designed and built a robust acquisition system to automate this process. Developed in Python and deployed on-premises behind a secure network, the system collects, validates, and stores seismic data in near real-time. A threshold-based trigger detects heightened seismic activity and initiates targeted downloads, including time-aligned graph generation using D3.js.
The platform also features a GUI dashboard for monitoring sensor health and a command-line interface for manual data requests by seismologists. With structural consistency and minimal manual intervention, the software significantly improves reliability and operational efficiency for scientific research and national monitoring.
What we did
- Python
- D3.js
- On-prem deployment
- Real-time monitoring
This solution gives us more control, better visibility, and far fewer errors in high-resolution seismic monitoring.
Senior Seismologist