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Environmental Business Review | Wednesday, July 13, 2022
With the increasing 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 aggregation processes.
FREMONT, CA: Waste collection in the urban area is a difficult process that needs a lot of resources. City municipalities spend around $300 million on waste collection and management annually. Most high-income cities charge citizens fees to aid cover these costs. Tax revenue compensates the remainder, which puts financial pressure on local governments.
The waste management industry and municipalities hardly use technology to enhance operational efficiency. The only thing they've done is enhanced the efficiency of routes. Still, even with excellent route optimization, waste collection trucks must physically check the level of trash in each dumpster. The manual procedure wastes time and money because trucks usually visit dumpsters that don't need to be emptied.
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With the increasing use of the Internet of Things (IoT), smart devices and sensors, and machine-to-machine (M2M) connectivity, it is possible to decrease unnecessary expenses and waste collection processes.
The Benefits of Utilizing IoT in Smart Waste Management
Companies can realize several advantages from such sensors and IoT platforms, including:
Cost savings: Smart dumpsters send their fill-level data in real-time to waste collectors. The IoT solution utilizes the data to decide the optimum routes for waste collection trucks. This causes a pickup process that does not consider empty trash bins, saving fuel and manpower.
No missed pickups: Smart waste management eradicates overflowing trash bins, unlike traditional collection methods. The authorities are notified as soon as a trash bin is about to fill up. Trucks can be scheduled for pickup even before the pre-arranged time.
Exploring waste generation: Smart waste management goes beyond just route optimization. As per some, the real value of IoT lies in its data analysis. As a result, most IoT solutions available on the market are integrated with data analytics. Such capabilities can support waste management companies' forecast of future waste production.
Reducing CO2 emissions: The carbon footprint of waste management and recycling has been greatly debated. Optimized routes lead to decreased fuel consumption, which reduces the carbon footprint, making the waste management process eco-friendly.
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