* Temperature & humidity sensors * Volumetric airflow & fluid sensors * Mold sensors * Occupancy detecting sensors * CO2 demand-controlled ventilation (DCV) sensors – work with sensors that detect a building’s occupancy and adjust ventilation accordingly * Light Sensors tied to motorized window treatments can pick up on sunlight and adjust window shading during the course of a day
Irradiance, temperature, humidity sensors and voltage sensors used to measure photovoltaic (PV) output current and voltage on solar panels. By placing sensors along the distribution channels and substations operators are able to gather real-time power consummation data which will helps make decisions about the load, voltage, and power being supplied
LED sensors equipped to capture data around ambient light levels, temperature, occupancy, security, performance & energy consumption
Light sensors – allows for the greenhouse lighting to be adjusted depending on the sun’s intensity, benefits of increasing electrical efficiency and cost savings of the entire system. Sensors for Volumetric water content (VWC), Bulk electrical conductivity (ECb), Temperature – Used to monitor soil moisture content
Machine vision camera and spectral imaging – helps growers track the growing process of their entire operation, give details on plant height, 3D leaf area, projected leaf area, digital biomass, leaf inclination, leaf area index, light penetration depth, and leaf coverage
Mobile-enabled IoT sensors, Bluetooth beacons, infrared counters or sensors embedded in the pavement, turnstiles
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.
Sanitation devices connected with sensors provide ability to control water flow, paper consumption, air flow for hand drying, and aroma or cleaning chemical sprays on a timer that can be controlled by a single source
Sensors that monitor a building’s air quality (i.e. carbon monoxide and other volatile carbon emission detection)
Underground mining has significant safety hazards due to high-stress concentrations, weak rock masses, and limited access and air quality. Different sensors are used in mine-related activities, such as geophones in exploration and blast control, piezometers in dewatering and toxic gas detectors in working frontlines.
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.
