Connected Environment

Wireless sensor networks to monitor the health of soil, waterways, the atmosphere and wildlife.

Connected Environment Image

June 15, 2018

Nature and technology are often portrayed as opposites, but the Internet of Things is bringing them together in a new kind of harmony. Networks of small, wireless sensors can be deployed in any ecosystem — oceans, forests, wetlands — while cloud-based data platforms connect researchers, conservationists and regulators to real-time data about the health of the environment. These systems not only increase our understanding of the ecology, but help protect plants, wildlife and humans, too.

This Channel Guide will help you:

  • Learn about different kinds of environmental sensors and their application.
  • Discover projects that are using IoT technologies to study and monitor ecosystems.
  • Identify the best tools and products for creating your own environmental monitoring network.

 

Wildlife and Habitat Monitoring

Led by ecologists in academia and government agencies, these projects are deploying sensor networks into a variety of environments. Fleets of low-cost sensors, some in the form of autonomous robots, offer an unprecedented level of detail about these ecosystems adfgdfnd help direct future research efforts.​

NuSwan
Urban Water Quality

NUSwan

Researchers at the National University of Singapore have come up with a novel and discreet way to monitor water quality, especially in urban areas: robot swans.

Pollution Monitoring Fish
Pollution monitoring fish

SHOAL

A European 7th framework research initiative led by professor Huosheng Hu and his team at the university of essex creating a new type of real-time harbour pollution monitoring system via robotic fish

Intelligent River
River Monitoring

Intelligent River

An environmental monitoring project that’s attempting to put the Savannah River Basin in the cloud.

Floating Sensor Network
River Monitoring

Floating Sensor Network

The Floating Sensor Network is a project by researchers at UC Berkeley that provides real-time, high-resolution data on waterways via a series of mobile sensing 'drifters' that are placed into the water and monitored by cell networks and short-range wireless radios.

ARBIMON
Remote Audio Habitat Monitoring

ARBIMON

ARBIMON (Automated Remote Biodiversity Monitoring Network) is a project developed out of the University of Puerto Rico to help analyze an area's biodiversity..

Oyster Biosensors
Aquaculture Biosensors

OysTag

Project aims to help optimize the health and production of oysters in the region.

Geologic Monitoring

Led by ecologists in academia and government agencies, these projects are deploying sensor networks into a variety of environments. Fleets of low-cost sensors, some in the form of autonomous robots, offer an unprecedented level of detail about these ecosystems adfgdfnd help direct future research efforts.​

Grillo
Wireless Earthquake Monitoring

Grillo

Grillo (which means ‘cricket’ in Spanish) is taking advantage of low-cost accelerometers and wireless modules to build affordable consumer devices that can both extend the earthquake detection network and act as an in-home alarm system when a quake is on its way.

Brinco
Your personal earthquake beacon

Brinco

Brinco — a consumer-friendly device that leverages a custom-built motion sensor alongside the power of the IoT, to create a crowdsourced early warning network for earthquakes — and it costs less than $200.

Products and Tools

Led by ecologists in academia and government agencies, these projects are deploying sensor networks into a variety of environments. Fleets of low-cost sensors, some in the form of autonomous robots, offer an unprecedented level of detail about these ecosystems adfgdfnd help direct future research efforts.​

Invisible Tracck
Stop Deforstation

Invisible Tracck

Invisible Tracck is a wireless device being used in pilot programs to help combat illegal deforestation taking place in the Amazon.

Smart Citizen Kit
Urban monitoring Environmental Data

Smart Citizen Kit

Like the above title, you too can write about something interesting, suach as your team's interests or simply speak about the services or products you provide. Keep is short and precise.

Weather

Some of the most basic sensors in IoT products collect weather data, like temperature and humidity. Many research projects and even some commercial companies are using these sensors, and more sophisticated weather monitoring equipment, to collect highly localized data and improve forecasting.​

WeatherCloud
Vehicle to Infrastructure to Vehicle

WeatherCloud

Weathercloud is a Boulder based company looking to improve road condition safety and traffic routing using a cloud service and data gathered from sensors installed on a vehicle's license plates.

Understory
hyper-local weather

Understory

Understory is a weather data startup that uses solar-powered weather stations, calledRTi’s (“Arties”) to measure the three-dimensional forces acting on the equipment, as well as basic weather data like temperature, atmospheric pressure and sunlight.

Case Studies

A deeper dive into some projects using sensors and connectivity for environmental applications

Remote Monitoring

Remote Audio Habitat Monitoring: ARBIMON

ARBIMON (Automated Remote Biodiversity Monitoring Network) is a project developed out of the University of Puerto Rico by Carlos Corrada-BravoMitchell Aide and their team that uses off-the-shelf technology in combination with advanced machine-learning algorithms to help analyze an area’s biodiversity.

 

Traditionally, biodiversity is assessed using a variety of methods that are generally costly, limited in space and time, and most importantly, they rarely include a permanent record…..Long-term information is needed to understand the implications of land and climate change on biological systems. From both a conceptual and management perspective there is an urgent challenge to increase biological data collection over large areas and through time. – Full Article

At the core of the project are field monitoring stations that are created using solar panels, a 2nd generation iPod, 12v car battery, 900 MHz Radio/antenna, and a 20Hz-20kHZ microphone all wrapped up tightly in a waterproof case. The field systems capture one minute long recordings of an area every 10 minutes and then passes that data along to a base station (that can be located up to 40 kilometers away) to eventually reach the main projects server for analysis and backup.

Once captured and stored the audio is processed against an automated species identification system and algorithms that has been trained by researchers based on specific vocalization of a species.

The ARBIMON team has created and tested species-specific models for a range of amphibians, birds, mammals, and insects. Once created these models can be can be used to process previously recorded audio to generate daily and monthly patterns for a specific species or a “soundscape index” for an entire area that can be tracked over time.

Remote Audio Habitat Monitoring: ARBIMON

 

Remote Audio Habitat Monitoring: ARBIMON

You can check out a more detailed overview of the ARBIMON system at Arbimon.com/arbimon/ or read their latest research findings on the project at PeerJ.

Shoal

SHOAL: Pollution monitoring fish

The Shoal project is a European 7th framework research initiative led by professor Huosheng Huand his team at the university of essex creating a new type of real-time harbour pollution monitoring system via robotic fish.

The fish are currently being field tested in the port of Gijon, Spain

where water quality monitoring is now dependent on human divers and laboratory testing that only occurs around once per month (and costs up to €100,000 per year to maintain).

“By having autonomously controlled fish with chemical sensors attached we aim to do these tests in-situ. Further the fish will also be given an intelligence so that if they do find significant amounts of pollution and they deduce it’s coming from a source they will all work together to find the source of the pollution so that the port can stop the problem early before more pollution occurs.”

Outfitted with a sonar system for communication and a host of electrochemical sensors measuring heavy metals and water quality (Dissolved O2, Conductivity, ORP) levels the fish use their built-in swarm intelligence system to quickly narrow down the location and extent of the pollution source and send the information back to port authorities to take proper action. An infrared, GPS, and other sensor data also help the fish to measure their position, heading, speed etc and ensure that the fish are not stolen or damaged.

SHOAL: Pollution monitoring fish

Although still in development mode the project coordinators would eventually like to commercialize the project and sell these systems to ports throughout the EU and the world.

Shark Monitoring

Smart Shark Monitoring System

In our post about Wolfram Connected Devices and Thingful the other day we, speculated about whether the average person could find a use for data about the precise location of a shark (aside from marine biology research, of course). Well, it turns out the Department of Fisheries of Western Australia beat us to the punch: they put the sharks on Twitter.

The department’s shark monitoring network uses long-lasting acoustic tags to keep track of sharks. As the name implies, the tags use sound to broadcast the shark’s location in the water. A network of listening stations along the coastline sends updates by satellite connection whenever a shark comes near. That triggers an automatic tweet from Surf Life Saving Western Australia, a non-profit group that also tweets about shark sightings from helicopter patrols, calls to the Water Police tipline, and other sources.

More than 300 sharks have been tagged, and there are several dozen satellite-linked listening stations installed so far from Perth down to the southern coast. In addition to warning surfers and beach-goers, the network is gathering valuable data about the size and movement of shark populations.

Smart Shark Monitoring System

 

Western Australia is using Twitter to help reduce shark attacks on their beaches

The majority of the more than 160 shark species native to Australia pose little risk to humans. Common species like hammerheads generally bite only when threatened, and their bites are rarely fatal. Only three species are significantly dangerous: bull sharks; great whites; and tiger sharks, like the one(s) that tweeted from listening stations near Perth almost every day last week.

Tags and tweets are not a perfect system, however. The listening stations have a limited range, and there are untold thousands of sharks of all species that haven’t been tagged. So the fact that there hasn’t been a tweet doesn’t mean the beach is safe. On the other hand, the presence of a shark — even a tiger, bull or great white — doesn’t mean an attack is imminent. Shark attacks, while terrifying, are still very rare. WA Todayrecorded only a handful of attacks in Western Australia last year.

But to minimize that risk even further, Surf Life Saving has plenty of safety tips. The next time you’re at one of Western Australia’s beaches, keep them in mind — and keep an eye on your Twitter feed.

senset

Oyster Sensor Network

The SenseT (Sensing Tasmania) project is a collaboration between the Tasmanian and Australian government, local universities (UTAS and University of Melbourne’s Institute for a Broadband-Enabled Society), and businesses including IBM to deploy networks of environmental sensors across the entire state of Tasmania. Connected via a new broadband network the $42 million project combines historical, and real-time sensor data and makes this information available for public usa via API’s and an app-store.

One of the latest projects from SenseT is OysTag, a Aquaculture Biosensors project that aims to help optimize the health and production of oysters in the region.

Large sensor devices are deployed in the farms to measure general environmental conditions like temperature, and salinity levels of the water. Small Biotags are also being attached to individual oysters to detect the current depth of the creature, its movement, how much ambient light it is receiving and even the heart rate of the animal.

This data can be aggregated and used to predict the growth rate, feeding behavior and details on how to optimize conditions for healthier animals and deliver safer and more productive crops for individual farms and across the industry as a whole.

Oyster Sensor Network

Oyster Sensor Network

More details about the project can be found at: Sense-t.org.au or by watching the video below created by CSIRO (Commonwealth Scientific and Industrial Research Organisation).

topp

TOPP: Remote Wildlife Tracking

The TOPP (Tagging of Pacific Predators) project began in 2000 as part of a 10-year, 80-nation “Census of Marine Life” research study to help better understand and protect how life is actually operating in the world’s oceans.

The program is currently managed by NOAA’s Pacific Fisheries Ecosystems Lab, Stanford’s Hopkins Marine Lab, and the UC Santa Cruz Long Marine Laboratory and has tagged more than 4,000 individual animals across 23 species of predators that inhabit the Pacific Ocean with biologging sensors and tracking technologies.

The TOPP project uses several types of tags in their research studies:

  • Archival tags
    – These tags can last up to 10 years and are surgically implanted. The tags can record pressure (for depth), ambient light (to estimate location), speed of travel and internal/external body temperatures.
  • Pop-up archival tags (PAT)
    – These temporary tags have a battery life of around two weeks and can be released from an animal at a pre-set time (30, 60, or 90 days). They are used mainly on animals that don’t spend much time on the water’s surface and are able to collect data on pressure, ambient light and internal and external body temperatures.
  • Smart Position or Temperature Transmitting Tag (SPOT)
    – Designed for animals living near the surface this tag can last up to two years and is designed to transmit its sensor data after the antenna of the device breaks the surface of the water. The data includes speed, pressure, water temperature and location data calculated by Doppler shifts in the transmission signal over time.
  • Satellite Relay Data Logger (SRDL)
    – These tags compress data for more efficient transmission to the Argos satellite. They can be combined with CTD tags to record temperature, depth & salinity profiles.

Once attached to the animals the tags send their location and sensor data to the Argos satellite (which is dedicated only to monitoring data focused on environmental research and protection) orbiting 850 km above the earth for the scientists to access. TOPP researchers then combine this information with other sea surface temperature maps and current chlorophyll location models to help them study specific species migration patterns, better manage fisheries, and help define management policies to protect the animals from being caught in nets or other industry activities.

Engineering has provided the biologging community with ever more sophisticated tags, and advances in the application of statistical methods to interpret these data have yielded powerful new tools for understanding animal behavior. The technology has also reached sufficient sophistication and reliability such that the data collected is often equivalent to industry standards for environmental sampling, which has led to profound advancements in the marine realm, where the sheer vastness, in 3 dimensions, limits our ability to observe. Biologging data is now being increasingly applied to marine management and conservation policy.

Remote Wildlife Tracking: TOPP

Remote Wildlife Tracking: TOPP
Robotic Swan

NUSwan: Robotic Water Sensors

The TOPP (Tagging of Pacific Predators) project began in 2000 as part of a 10-year, 80-nation “Census of Marine Life” research study to help better understand and protect how life is actually operating in the world’s oceans.

The program is currently managed by NOAA’s Pacific Fisheries Ecosystems Lab, Stanford’s Hopkins Marine Lab, and the UC Santa Cruz Long Marine Laboratory and has tagged more than 4,000 individual animals across 23 species of predators that inhabit the Pacific Ocean with biologging sensors and tracking technologies.

The TOPP project uses several types of tags in their research studies:

  • Archival tags
    – These tags can last up to 10 years and are surgically implanted. The tags can record pressure (for depth), ambient light (to estimate location), speed of travel and internal/external body temperatures.
  • Pop-up archival tags (PAT)
    – These temporary tags have a battery life of around two weeks and can be released from an animal at a pre-set time (30, 60, or 90 days). They are used mainly on animals that don’t spend much time on the water’s surface and are able to collect data on pressure, ambient light and internal and external body temperatures.
  • Smart Position or Temperature Transmitting Tag (SPOT)
    – Designed for animals living near the surface this tag can last up to two years and is designed to transmit its sensor data after the antenna of the device breaks the surface of the water. The data includes speed, pressure, water temperature and location data calculated by Doppler shifts in the transmission signal over time.
  • Satellite Relay Data Logger (SRDL)
    – These tags compress data for more efficient transmission to the Argos satellite. They can be combined with CTD tags to record temperature, depth & salinity profiles.

Once attached to the animals the tags send their location and sensor data to the Argos satellite (which is dedicated only to monitoring data focused on environmental research and protection) orbiting 850 km above the earth for the scientists to access. TOPP researchers then combine this information with other sea surface temperature maps and current chlorophyll location models to help them study specific species migration patterns, better manage fisheries, and help define management policies to protect the animals from being caught in nets or other industry activities.

Engineering has provided the biologging community with ever more sophisticated tags, and advances in the application of statistical methods to interpret these data have yielded powerful new tools for understanding animal behavior. The technology has also reached sufficient sophistication and reliability such that the data collected is often equivalent to industry standards for environmental sampling, which has led to profound advancements in the marine realm, where the sheer vastness, in 3 dimensions, limits our ability to observe. Biologging data is now being increasingly applied to marine management and conservation policy.

Remote Wildlife Tracking: TOPP

Remote Wildlife Tracking: TOPP
Air Quality

Crowdsourced Air Quality Data

The Internet of Things has given a real boost to “citizen science” by putting low-cost sensors and computer chips in the hands of creative tinkerers everywhere. Take, for example, the latest project from Romanian maker Radu Motisan: a handheld air quality monitor that scans for pollution and radioactivity.

 

Crowdsourced Air Quality Data: Portable Environmental Monitor

The Portable Environmental Monitor is Motisan’s entry for the 2015 Hackaday Prize, which answers the challenge to “Build something that matters.” Having previously created uRADMonitor, a radiation-detecting device and global reporting network that was a Hackaday semifinalist last year, it was a natural evolution to build on the worldwide infrastructure and offer a more flexible way to monitor health risks in our environment.

Stuffed into the prototype’s aluminum enclosure are an ATmega128 microcontroller, rechargeable battery, 2.4-inch LCD touchscreen, ESP8266 Wi-Fi module, and a suite of sensors — which can detect temperature and pressure, dust, carbon dioxide, volatile organic compounds, and three kinds of harmful radiation (alpha, beta and gamma). The device is controlled through a custom interface, the code for which is available as open-source software.

Crowdsourced Air Quality Data: Portable Environmental Monitor

Data from each Portable Environmental Monitor unit is streamed to a server where it can be mapped and combined with data from the uRADMonitor network, allowing citizen scientists around the world to collaborate on a vast, crowdsourced dataset of global air quality and radiation measurements.

Check out the video below to learn more and see how the prototype works.

Related: AirBeamBreatheNUSwanOxford Flood NetworkSmart Citizen KitTzoa