Ground Motion And Water Seepage Detection | Rezatec Dam Monitoring

Geospatial AI for ground motion & seepage

The power to see unusual deformation in ground movement, vegetation and seepage. Deploy your investigation and maintenance resources to the right place at the right time.

 

SolutionsWaterDam Monitoring
Ground motion & seepage

Early warning. Early fix

Ground Motion & Seepage uses satellite data and AI to historically track ground movement, vegetation and seepage, decipher normal and abnormal, giving you a current view of unusual changes mapped onto visuals of your structure. Year-round monitoring across the entire dam structure fills data gaps between manual inspections, in between sensor sites and in remote locations. Millimetric change alerts provide early warning on potential issues. Combines with dam record data to super charge your risk informed decision making and enable you to efficiently target ground resources. 

Compare trends across dataset

Continuously monitor risk for all dams

Build a full risk profile

Unique historic & current view
Tracks unusual changes
Data provided across the whole dam
Ideal for remote locations

Track issues between surveys

Frequent, accurate insights
Correlates trend data
Alerts of unusual changes
Millimeter accuracy

Informs risk-based decisions

Deploy to the right place
Define exact risk areas
Direct investigation & maintenance teams
Focus on maximum impact

How we help

Grahamstown Dam, Australia

Hunter Water’s largest drinking water storage holds 182,000m litres. An 80km per hour road runs across the southern embankment, impeding inspection. Geospatial AI enables remote monitoring.

Making risk-informed decisions a reality

With changing risk metrics and an increased focus on risk management, dam owners are pushing for new approaches to understand their risks and potential liabilities. Ultimately, managing the challenges of risk invariably comes down to monitoring. For dam owners and operators, turning to emerging techniques and technologies that can supplement the standard visual inspection process has been the bulwark of dam safety since the earliest origins of the industry.

Sensors such as a piezometer, strain gauges and tilt monitors, for example, are being deployed to produce measurements at key locations of a dam structure. Certainly, these devices are accurate but typically only offer data from those single points of the structure where the devices are installed. This results in knowledge gaps in those areas between sensors and is especially significant when considering that some embankments might be several miles long.

Dam owners are instead turning to other remote monitoring tools such as drones, UAVs and satellites to conduct large-scale assessments. While drones do reduce health and safety risks associated with visually inspecting hard-to-access areas of a dam face, for instance, they also have limitations. Accuracy is perhaps the most regularly reported challenge with drone use, with operator comparisons highlighting drones pick up 20 to 30 millimeters, which is a long way off the millimetric accuracy that can be achieved with new, advanced technologies. Drones are also potentially an expensive route to remote monitoring when used more frequently than for annual inspections.

Now though, with the increasing availability of satellite and geospatial data combined with sophisticated machine-learning and AI algorithms, dam owners have new options. Advanced ground motion and seepage monitoring combines with dam owners’ survey data and applies the most advanced AI model available. It trends and visualizes all available data, producing powerful insights that have never been available until now. And it enables dam owners to compare and evaluate Potential Failure Modes, enabling making risk-informed decisions a reality.

Dam Monitoring Resources

Speak to us today

Our team is here to answer your questions. We’re excited to help you explore how geospatial AI can support your business. Just fill out the form and we’ll get back to you.