Dryad’s Silvanet Ultra Early Wildfire Detection System is designed to detect wildfires in their earliest stages, often within minutes of ignition. The system is fully functional once installed and configured.
For users who require additional validation or need to meet compliance requirements, Dryad offers a structured testing and validation program. These optional tests can help demonstrate system readiness and performance in real-world conditions.
This program includes three main test types:
- Alert Integration Test – Confirms that the Silvanet system is successfully connected to the user’s third-party alerting or monitoring platform through the Silvanet API.
- Sensor Smoke Test – Uses a handheld bee smoker to safely simulate wildfire gases, enabling on-site validation of end-to-end detection and alert performance.
- Fire Test – A controlled / prescribed burn conducted by trained professionals under strict safety guidelines and regulations to validate end-to-end detection and alert performance.
Each of these test types provides additional assurance that Silvanet devices are operating as expected and ready to detect wildfire events.
Note: Tests are not mandatory and do not serve as a formal validation of system functionality. They are intended for user validation, training, demonstrations, or confirming that alerts meet your operational requirements.
Purpose of Testing
Testing is not required for the Silvanet system to operate or confirm detection readiness. However, it can be performed for validation, compliance, or demonstration purposes, helping ensure confidence in system performance.
- Additional assurance of system readiness before large-scale deployment.
- Verified early detection across varied smoke types and environmental conditions.
- Confirmation of reliable alert delivery via integrated APIs and through the Dryad Alert Center.
- Data-backed performance validation to support customer confidence and compliance needs.
How We Approach Testing
All tests are designed to be:
Safe – Conducted under strict safety protocols.
Repeatable – Using standardized procedures for consistent results.
Informative – Providing actionable data for optimization and troubleshooting.
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