Disaster Management

Improve disaster management and increase protection of infrastructure and public safety with automated environmental data collection including flood detection, slips, groundwater levels and rainfall, to aid in early warning of extreme weather events. AI provides trends and insight that informs decision-making, improved risk management, and the technological innovation that enables sustainable interaction with the natural environment.

Environmental Data

Disaster management monitoring provides real-time environmental data for flood detection, tilt, groundwater levels and rainfall. Sensors monitoring the environment transmit data to the Cloud via Iridium satellite or cellular networks in real-time, to provide a clear and granular picture of activity on your site at any point in time.

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Sensors

Adroit constantly evaluates and utilises best in breed global sensor technology to improve the accuracy, reliability and efficiency of our disaster management monitoring solutions. Sensors are tested, provisioned, calibrated, and where relevant independently verified to ensure high levels of accuracy and reliability.

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Deployments

Our nationwide installation team ensures every disaster management monitoring solution is deployed following a customised site plan. We have a range of deployment options including Adroit groundscrews and existing structures such as bridges. Our installers test sensors and data transmissions onsite to ensure connectivity and continuous data.

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Solution Management

Adroit specialises in end to end environmental monitoring and intelligence, this includes initial client requirements, site evaluation, site planning, solution configuration, sensor selection, provisioning, calibration, installation, data visualisation, analytics and nationwide technical support.

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Data Visualisation

The Adroit Platform and app allows you to visualise your disaster management data 24/7 from any connected device including mobile. In the platform dashboard you can set customised thresholds for early warning alerts and view charts. Visualisation of site data gives you a clear, granular picture of your site activity in real-time for improved proactive site management, and historically for trend analysis.

Environmental Intelligence

Automation, AI-driven insights, early warnings and enhanced visualisation empowers you to make smarter, faster, data driven decisions for better disaster and risk management.

Adroit Analytics

Adroit Analytics takes environmental data analysis to the next level with the integration of AI technology to detect trends, anomalies, and compliance issues. AI highlights key events, such as site activity and environmental anomalies, helping you increase efficiencies and improve proactive site management for emerging issues.

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Automated Reporting

Automated reporting simplifies the process of generating and distributing reports from data collected at various sites with multiple devices. It’s designed to take the heavy lifting away from the individual who would otherwise be looking at a variety of charts, dashboards and reports to understand what’s going on across multiple sensors and sites.

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Artificial Intelligence

AI analytics leverages AI to rapidly process large amounts of site data, transforming it into clear, human-readable summaries. These contextual insights enable worksite management to effectively communicate compliance levels, identify potential concerns, and make faster, more informed decisions to improve operational efficiency.

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Site Performance

Adroit Analytics calculates various site-specific metrics by analysing multiple variables and aggregated data from a range of sensor types. It tracks exceedances, their severity, and duration to generate compliance percentages and risk indicators. These insights are visualised in the reports, allowing tracking and management of overall site performance.

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Disaster Management

Accurate real-time environmental data from automated IoT devices such as tiltmeters, rain gauges and water level sensors can play a key role in the early detection of natural disasters. The use of AI in predictive analysis and modeling can aid to predict the size, location, and severity of the event. Automated real-time alerts can improve disaster management, increasing public safety and helping to protect infrastructure.

Disaster Management

Integrating environmental data, and aggregating other data sources with AI, can provide meaningful insights to inform and improve timely decision-making. The data can aid risk management to enable sustainable interaction with the natural environment.

Public Safety

The use of AI to provide automated early warnings of possible natural disasters or extreme weather events, enable disaster management authorities to better inform the public of possible safety risks. Continuous real-time data aids in the on-going risk analysis in a natural disaster, improving the overall management of public safety.

Infrastructure Protection

Sensors can be installed on critical infrastructure like bridges and dams to monitor water levels, the impact of the event, or manage risk to structural integrity to detect potential failures.