Environmental monitoring is a broad application for the Internet of Things. It involves everything from monitoring levels of ozone in a meat packing facility to monitoring national forests for smoke. Using IoT environment sensors for these various applications can take an otherwise highly labor-intensive process and make it simple and efficient. Environmental protection, extreme weather monitoring, water safety, endangered species protection, commercial farming, and more. In these applications, sensors detect and measure every type of environmental change. IoT can be used in practically all scenarios for public services by governments to make cities environment friendly. Sensor-enabled devices can help monitor the environmental impact on cities, collect details about sewers, air quality, and garbage. Such devices can also help monitor woods, rivers, lakes and oceans. Many environmental trends are so complex that they are difficult to conceptualise. Other monitoring and tracking systems have more business uses such as solving or averting problems like sending a cellphone alert to drivers that traffic is backed up at a particular exit ramp, and increasing efficiencies such as enabling a utility to remotely switch off an electric meter in a just-vacated apartment. We monitor critical equipment such as stability chambers, refrigerators, freezers, LN2 Tanks, incubators, animal holding rooms, ultra-low freezers, cold rooms and clean rooms.Rees Scientific offers the most diverse methods of delivering monitoring data in the industry. We offer wired, wireless, WiFi or a hybrid of all. Systems can easily be installed on your network or on the ReesCloud. Our sales and engineering team can partner with you to implement the best system according to your needs and requirements.
8 IoT Environment Monitoring Use Cases
- Monitoring air for quality, carbon dioxide and smog-like gasses, carbon monoxide in confined areas, and indoor ozone levels.
- Monitoring water for quality, pollutants, thermal contaminants, chemical leakages, the presence of lead, and flood water levels.
- Monitoring soil for moisture and vibration levels in order to detect and prevent landslides.
- Monitoring forests and protected land for forest fires.
- Monitoring for natural disasters like earthquake and tsunami warnings.
- Monitoring fisheries for both animal health and poaching.
- Monitoring snowfall levels at ski resorts and in national forests for weather tracking and avalanche prevention.
- Monitoring data centers for air temperature and humidity.
Air quality monitoring
Air excellence monitoring in addition management has gained abundant attention latterly as the impact of air quality on several aspects of life. Besides the detrimental effects of toxic emissions on the environment and health, work productivity and energy efficiency are affected by air quality. Many researches have shown that, in a work place, the rise of CO2 levels ends up in an increase within the amount of unstable carbon-based mixtures (VOCs), odours, and microorganisms in the air. System uses air sensors to sense presence of harmful gases/compounds in the air and constantly transmit this data to microcontroller. Air quality monitoring is performed using specialized equipment and analytical methods used to establish air pollutant concentrations .Air monitors are operated by citizens, regulatory agencies, and researchers to investigate air quality and the effects of air pollution. IoT improves on this technology by reducing the need for human labor, allowing frequent sampling, increasing the range of sampling and monitoring, allowing sophisticated testing on-site, and binding response efforts to detection systems. This allows us to prevent substantial contamination and related disasters.
Water quality monitoring
The standard Water Quality Monitoring System includes our multichannel datalogger (featuring 7 analog channels and 2 digital channels for data recording) and four of our rugged 4-20 mA water quality sensors for measuring water temperature, pH, conductivity, and dissolved oxygen. To customize the Water Quality Monitoring System for your application, you can select up to three more analog sensors and up to two digital sensors to monitor additional parameters such as turbidity, ORP, water level, wind speed/direction, rainfall, and more. Domestic water is intended for human consumption for drinking and cooking purposes. The Bureau of Indian Standards (Central Ground Water Board, 2017) provides details about acceptable limits of substances such as Aluminium, Ammonia, Iron, Zinc etc. Traditional water quality measurement involves manual collection of water at various locations, storing the samples in centralized location and subjecting the samples to laboratory analytical testing.
Soil monitoring is the process of collection of soil and testing in laboratory by analytical methods.
Soil sampling are of two types:
- Grab Sampling: in this method, sample is collected randomly from field
- Composite Sampling: In this method, mixing of multiple sub samples for larger and non-uniform fields.
In laboratory, soil can be tested for pH, Chlorides, Sulphates, Phosphates and other metals.We are excited about our newest soil sensors. In addition to volumetric water content, these sensors measure electrical conductivity and temperature. The CS650 is wired directly to the datalogger. The CWS655 is wireless and can be installed away from the datalogger. There are several soil probes on the market today that use the Frequency Domain Reflectometry method of soil measurement. This method of measurement also uses an oscillator to propagate an electromagnetic signal through a metal tine or other wave guide, but with this method, the difference between the output wave and the return wave frequency is measured to determine soil moisture.
Remote sensing technology have opened the gates for real time analysis of weather data and have transformed the way that was used to collect and analyse weather data and build a strong database for reliable weather forecasts. IoT enabled weather systems are designed to collect data from various vehicles on the road, vehicles moving on the road will wirelessly communicate the weather and road condition data that is inclusive of air temperature, barometric pressure, visibility or light, motion and other data needed. This data helps to build more accurate forecast and provide flexible real time monitoring at different time horizon.
Natural Disaster Monitoring
IoT technologies can’t stop disasters from happening, but can be very useful for disaster preparedness, such as prediction and early warning systems. In this way IoT can compensate for a poor infrastructure that puts developing and emerging countries in a particularly vulnerable position. Rio de Janeiro City Hall Operations Centre was launched in December of the same year, and is still the state-of-the art intelligence centre in the world. In cooperation with IBM, the city of Rio built the centre to manage complex city environments, incidents and emergencies. The centre monitors the city 24 hours a day, seven days a week. To be prepared for critical incidents like landslides and flooding, sensors contribute to data feeds about weather, traffic, police and medical services in real-time. They anticipate problems and put defences in place to mitigate their impact. If an emergency occurs, people and communities are alerted via social media, conventional media channels and SMS. In high-risk areas, sirens are also used to evacuate the population.
Fish are usually the first driver for body of waterrestoration as a result of they’re signatures of the health and productivity of body of water systems. As secondary customers, fish integrate the functioning of lower organic process levels andare sensitive to physical system attributes (e.g., dissolved o, hydrologic connectivity). Vietnam is one of the main worldwide fish producers and exporters. PHA Distribution, one of the leading IoT & ICT distributors in Vietnam market, has deployed a wireless sensor network in a Vietnamese fish farm in Thanh Bình District, Dong Thap Province, next to Mekong river, with Libelium’s Waspmote Plug & Sense! Sensor Platform. The aim of the project is to monitor in real-time different parameters to control water quality and prevent some diseases that could affect fish in order to improve the quality and quantity of the production.
Snowfall levels Monitoring
We have worked with ski resorts, cabin owners, architects, and engineers to select and design many different types of snow monitoring systems. There are only a few options to monitor and record snow level or snow water equivalent data. End users and researchers in remote locations often need a system to report or alarm weather and snow conditions.Snow depth is most often measured using an ultrasonic or radar sensor. The sensor is placed on an arm outstretched over the area to be monitored and the signal of the sensor is bounced off the snow surface. This type of system is used very frequently in reporting snow levels at ski resorts and high mountain areas that require this type of information. The CS725 measures snow-water equivalent (SWE) by passively detecting the change in naturally occurring electromagnetic energy from the ground after it passes through snow cover. It is mounted above the ground and has no contact with the snow. As the snow pack increases, the sensor detects the attenuation of the electromagnetic energy from the ground, and SWE can be calculated. The measurement area of the CS725 is 50 to 100 square meters (540 to 1,075 square feet), making it an excellent replacement sensor for the traditional snow pillow and snow scale.
Data centers Monitoring
Data center by definition is a place where collection group of computer connected build a logical server or several physical servers for servicing a request from Internet users. Many issues or problems are faced by the data center. Good way to understand IoT potential is to look at the capabilities of a modern managed server. These capabilities extend well beyond just a CPU, memory and input/output ports. IoT-based management components in a modern computer include items such as:
- Temperature sensors
- Fan speed sensors
- Security actuators (e.g. thumbprint scanners)
- Power sensors
- Moisture sensors
Some Considerations When Selecting Your Network For IoT Environmental Monitoring:
IOT technology is used to transform the parameters data to remote server through GPRS network, and SIM900 chip is opted to accomplish GPRS function. Ajax and mobile platform are combined to make sure that the environment data on the server can be easily accessed. WiFi has long-range performance limits as well, and the infrastructure costs involved in setting up a Wi-Fi network can be prohibitive. Low power, wide-area network (LPWAN) technology is perfectly suited for environmental monitoring, as it can connect devices that need to stay in the field for an extended period of time and send small amounts of data over a long range.
If you have any queries on How to use IoT technologies in environmental monitoring then let us know in our IoT discussion forum. We will try to provide you solution/ideas free of charge. 🙂