For continuous monitoring, Probability of Detection (PoD) can be framed as a function of time. Detection confidence grows with each measurement window. Here we explain how controlled-release testing and time segmentation translate PoD into Time-to-Detection (TtD) and contrast that with single-pass survey methods. For operators, this provides a practical way to set expectations for how quickly a continuous system will find different-sized events and why that matters for response.

Continuous monitoring provides a clear advantage: it constantly captures emissions data 24 hours a day. But this volume of data comes at a significant cost of bandwidth and power.

How can operators maintain reliable monitoring without straining their networks or batteries? Qube solves this by combining efficient power use with intelligent sampling techniques.

Here we review the advances in sampling, data compression, and payload frequency that make this possible.