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With the growing use of the Internet of Things (IoT), smart devices and sensors, and machine-to-machine (M2M) connectivity, it is possible to reduce unnecessary expenses associated with trash collection processes.
Fremont, CA: The urban waste collection is a complex process that requires a lot of resources. City municipalities spend approximately $300 million on waste collection and management every year. Most high-income cities charge citizens fees to help cover these costs. The remainder is compensated by tax revenue, which puts financial pressure on local governments.
The waste management industry and municipalities barely use technology to increase operational efficiency. The only thing they've done is improved the efficiency of routes. However, even with excellent route optimization, waste collection trucks must physically check the level of trash in each dumpster. The manual process wastes time and money because trucks often visit dumpsters that don't need to be emptied.
With the growing use of the Internet of Things (IoT), smart devices and sensors, and machine-to-machine (M2M) connectivity, it is possible to reduce unnecessary expenses associated with waste collection processes.
The Benefits of Using IoT in Smart Waste Management
Companies can realize several benefits from such sensors and IoT platforms, including:
Cost savings: Smart dumpsters transmit their fill-level information in real-time to waste collectors. The IoT solution uses the data to determine the optimum routes for waste collection trucks. This leads to a pickup process that does not consider empty trash bins, saving fuel and manpower.
No missed pickups: Smart waste management eliminates overflowing trash bins, unlike traditional collection methods. As soon as a trash bin is about to fill up, the authorities are notified. Trucks can be scheduled for pickup even before the pre-arranged time.
Analyzing waste generation: Smart waste management goes beyond just route optimization. According to some, the real value of IoT lies in its data analysis. The majority of IoT solutions available on the market are integrated with data analytics. Such capabilities can help waste management companies predict future waste production.
Reducing CO2 emissions: The carbon footprint of waste management and recycling has been discussed and debated to a great extent. Optimized routes lead to reduced fuel consumption, which reduces the carbon footprint, making the waste management process eco-friendly.
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