15 February 2018
5 IoT applications to make our planet great again!
We list here 5 IoT applications that will help to decrease the CO2 emissions on top of providing a financial incentive to the stakeholders.
Connecting bins and dumpsters with an ultrasonic sensor to monitor their level of waste helps to optimize waste collection, making it less systematic. Data shows that this approach reduces waste collection by 30% in average.
In practice, this application comes with a route optimization algorithm that reduces travel times and distances, therefore, reducing CO2 emissions.
Gas tank remote monitoring
Like connected dumpsters, LPG, fuel & oil tanks can benefit from connected ultrasonic sensors. The supplier knows when to arrange delivery or pick up and can optimize its delivery route.
More and more cities are considering smart lighting as it can decrease their energy bills. Street light dimming systems have a break-even after 4 to 8 years depending on the cost of electricity in the country. The principle is to reduce light intensity when there are no pedestrian or cars. This approach can lead to 80% of energy savings for cities.
Another option is to use Street lighting systems which embed a light intensity schedule where light intensity is only based on the time.
In dense areas, it can sometimes be challenging to find a parking place. More and more cities are adding sensors connected to a smartphone application so that drivers can be routed to a vacant parking place directly.
This helps reduce driving time by 10 minutes and CO2 emissions by 20% on average.
A lot of physical tests and measurements can be replaced by connected sensors: regular actions that can be assessed remotely are causing pollution which could be avoided.
This is the case with legionella monitoring. We can now remotely assess the risk of the legionella bacteria developing by just monitoring the water temperature and linking it to a smart algorithm.
Another example is the temperature monitoring of railway tracks. For safety reasons, railway companies physically monitor the temperature of their tracks at many different points to understand train speeds because as the temperature goes up, the rails bend…
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