A combustion detector is a key tool for Heating, Ventilation and Air Conditioning (HVAC) specialists, boiler technicians, and plumbers to perform combustion analysis on appliances such as furnaces, heaters, ovens, pool heaters and burners. It provides critical insights into safe and efficient appliance operation, such as gas levels, excess air, and soot formation.

In this article, we utilize neural network models to realize online combustion sensing. We use the characteristic values extracted from the ion current thermal phase peak and 10 combustion-related parameters as inputs and outputs to establish four models. The performance of the models is analyzed using various quantitative metrics, including sensitivity, specificity, and accuracy. The proposed method eliminates noise effectively and demonstrates enhanced precision in identifying flame pixels and delineating the flame evolution, compared with the base reference methodology.

Ensuring Welding Safety: Using Welding Analyzers for Quality Control”

The working principle of our catalytic combustion detector is based on the fact that combustible gases and vapors are able to trigger a reaction in a catalytic diffusion sensor, causing a change in resistance in the filament. The measured value of the resistance is then converted into a gas concentration by means of a scale that has the lower explosion limit threshold as its zero point.

The combustion analyzer is also able to measure the level of carbon monoxide in the flue gas. Carbon monoxide is a colorless, odorless, tasteless gas that is produced by incomplete flue gas combustion. It can cause asphyxia or death.