Published Paper Details:

Industrial facilities and numerous environments pose the danger of ammonia (NH3) and hydrogen sulfide (H2S) fuel emissions that may have extreme fitness and environmental implications. Growing an automatic sensor model able to appropriately detecting these gases is vital for timely mitigation and safeguarding of human health and the surroundings. This paper provides a novel computerized sensor model designed especially for the detection of NH3 and H2S gas emissions. The proposed sensor version integrates superior sensing technologies with data processing algorithms to attain dependable and actual-time detection of NH3 and H2S gases. The sensor machine employs an aggregate of fuel sensors particularly calibrated for NH3 and H2S detection, ensuring high sensitivity and selectivity. Additionally, the version contains signal processing strategies to decorate the accuracy and robustness of gas detection in numerous environmental situations. Furthermore, the automatic sensor model is ready with wireless conversation abilities, enabling remote tracking and records transmission to centralized control systems or monitoring stations. This selection facilitates activate reaction to gas emission events, making an allowance for well-timed implementation of mitigation measures and minimizing capability dangers to human fitness and the surroundings. The effectiveness of the proposed sensor model is tested through widespread laboratory testing and field trials in industrial settings with varying stages of NH3 and H2S gasoline concentrations. The consequences show the version's high accuracy, reliability, and responsiveness in detecting fuel emissions, thereby highlighting its potential for enormous deployment in business, commercial, and residential packages.