Filter

Filters

16 devices found

Application Group
Applications

Devices

Monitoring emissions from factories in real-time involves a variety of sensors and instruments designed to measure different types of pollutants. These sensors are often networked together and connected to a central monitoring system that collects, analyzes, and reports data in real time. This enables factory operators and regulatory agencies to track emissions continuously and ensure compliance with environmental regulations, as well as to make informed decisions about emission control and reduction strategies. Gas Analyzers: These sensors are used to detect and quantify specific gases in the air, such as carbon dioxide (CO2), sulfur dioxide (SO2), nitrogen oxides (NOx), and volatile organic compounds (VOCs). Particulate Matter (PM) Sensors: These sensors measure the concentration of particulate matter in the air. Opacity Monitors: These are used to measure the opacity of emissions from smokestacks, which is an indicator of particulate matter concentrations. Flame Ionization Detectors (FID): FIDs are used to measure total hydrocarbon levels in emissions. FTIR (Fourier Transform Infrared Spectroscopy) Analyzers: These analyzers can detect a wide range of gases and are particularly useful for identifying complex mixtures of pollutants. UV Spectrometers: Ultraviolet spectrometry can be used to measure specific gases like ozone (O3) and sulfur dioxide (SO2) based on their absorption characteristics in the UV range. Chemical Sensors and Biosensors: These are used to detect and measure specific chemical compounds in emissions. Temperature, Pressure, and Flow Sensors: These sensors provide additional data on the emission conditions, such as the temperature and pressure of the emitted gases and the flow rate of emissions.

Thermal cameras

Wind Turbine sensors are used to continually assess acceleration, temperature and vibration. Turbine impact sensors – for monitoring avian and bat collisions Turbine vibration sensors – Vibration sensors provide data that enables predictive maintenance, allowing operators to manage assets at a distance – Turbine – Because of variable wind speeds and frequent braking, the load is never consistent on the turbine, causing a lot of wear on the moving parts. Bearings are the biggest culprit in gearbox failure. When bearings fail, it usually leads to other components, such as gearwheels, breaking down, causing a domino effect of failure across the entire apparatus. One of the biggest issues with regard to bearing failure is lubrication starvation. Vibration sensors can help an operator stay ahead of lubrication issues by detecting subtle friction changes -Blade – Wear and tear on rotor blades come from high winds, lightning, ice, and extreme weather conditions that result in blade imbalance. Over time, these factors lead to cracking and fractures along the edges and pitch system failure. Wireless vibration sensors make it feasible to remotely monitor such conditions, alerting operators to impending failure and maintenance needs without physically accessing the site. These sensors are combined together into one communication channel. Associated KPI’s are considered in the aggregate.