In an advanced era of technological innovations, IoT plays a crucial part in enhancing smart city applications using real-time monitoring and smart management of city processes.
As the world population is rapidly increasing and the world population is predicted to live in urban areas by 2030, one of the most vital challenges that cities will face is waste disposal. The cities produces tons of solid waste annually, and waste disposal expenses are rising.
Surprisingly, smart waste management initiatives are rising to drive advancements in the waste management sector, and it has become an essential aspect of the smart city ecosystem.
AutoMax IoT-enabled smart waste management can enable the cities to optimize waste collection, manage resources, reduce the number of overflowing bins, and has the potential to reduce unnecessary expenses due to operational inefficiencies.
Before moving on to smart waste management, let us see the major challenges of a manual solid waste collection system:
An inefficient collection mechanism lies as half-filled bins are also being emptied on fixed schedules, and it lacks an alert mechanism when the bins are fully filled. Apart from this, overflowing garbage bins are another issue faced due to the manual waste management system.
There are chances for some bins to get filled before the collection date, which leads to overflowing. As there are no alert mechanisms, overfilling garbage can cause rotting odors and environmental issues.
One of the other issues associated is excessive fuel usage as the garbage collectors visit each bin whether it is filled or not, and the routes are not optimized also. This unplanned garbage collection may also lead to excessive use of resources, vehicles, fuel, manpower, etc.
AutoMax IoT enabled waste management process to streamline waste management
IoT-enabled waste management offers better visibility and optimization for your operational plans, and it also helps to reduce extra spending and provides a more intelligent budget. IoT-enabled smart waste management can achieve operational standards that reduce managerial workload, make the most of scarce resources, and boost revenue generation.
AutoMax IoT enabled Smart Waste Management
Traditionally, waste management systems have scheduled garbage collection and recycling point receptacle emptying regardless of whether they were full or not, using a pre-defined path based on past patterns. IoT devices flip this model on its head by using smart garbage cans to detect location, temperature, and fill level in real-time. This information is then utilized to determine the best collection routes, resulting in an effective pickup procedure that saves both manpower and fuel. Data also aids in long-term planning, such as deciding where fewer bins are required or where there is room for expansion.
The availability of data from smart devices lowers the incidence of overflowing trash bins. An automatic notification will be sent to the waste managers whenever the sensors determine a bin is full so that an additional pickup will be arranged.
IoT-enabled sensors detect the garbage level fills and notifies the authorities when the bins are near full. It ensures that there remain no unattended garbage bins.
The data derived from the smart sensors inform authorities regarding the waste generation patterns and future patterns. Moreover, smart waste management lowers carbon footprint as the routes are optimized effectively.
To sum up
AutoMax IoT-enabled smart waste management system incorporates sensors to collect environmental data like temperature, fill levels, etc. and process the data. These data are being used to plan waste collection frequency and route optimization.
Municipal and trash management businesses can use IoT-enabled waste management systems to save costs, improve customer service, and boost operational effectiveness. IoT technology is becoming ubiquitous and aiding in cheaper and more effective waste management.
In conclusion, IoT technology can alter waste management processes. IoT technology will digitize waste management processes and contribute to operational effectiveness.