Big Data Analytics: Driving the Future of Smart Waste Management

Big Data Analytics: Driving the Future of Smart Waste Management

Along with population growth and expanding cities, the rate of people culminating in waste generation rises at an alarming pace.

Waste management requires more consideration than it is given now, since waste management has become a global concern. An efficient smart waste management system is necessary to maintain the environmental balance and adhere to a sustainable lifestyle.

As technology emerges more sophisticated each day, the amount of electronic devices also increases, and so does the e-wastes. In this scenario also, technology can provide better solutions for waste disposal.

According to the research conducted by World Bank, the global municipal solid garbage is about 2.01 billion. If not managed environmentally sound, it is expected to increase to 3.40 billion tonnes by 2050.

The newest and most advanced technology in waste management is the integration of AI or big data for smart and sustainable waste management.

Transforming Waste Management with Big Data

Integrating big data in the waste management industry is driving significant changes in waste disposal.

AI- Enhanced Recycling Robots

Recycling has always been a labor-intensive process involving a high injury rate for human employees. Technological advancement has caused the replacement of human elements with smart machines that make solid waste recycling safer, cheaper, and more efficient.

AI-enabled recycling robots can identify food and beverage containers from the bulk amount of waste and separate them from the rest of the garbage. The robots can learn the new patterns in the waste disposal and apply them during the further round of trash sorting and grabbing. The AI quotient of the robots can sort the garbage at superhuman speed, thus categorizing trashes for reprocessing that might otherwise result in a landfill.

GIS Analytics

GIS analytics can be integrated into waste management to identify the inefficiencies in waste collection routes in the municipalities and helps to suggest better-optimized routes and improvements based on their analytics.

GIS system can identify the million data points, waste fractions, collection locations, etc., and can enable municipalities to develop new series of waste management maps based on batch decoding of the data gathered.

Satellite-based Monitoring

Integration of satellites can provide a clear insight into environmental monitoring. It can get a clear insight into what is being done to the natural resources, which leads to deterring the capacity of the environment. It can identify the human activities being done to damage the environment and formulate clear measures to safeguard it.

To Sum Up

Big data-driven analytics can ultimately help save the environment and resources by cleaning up the huge mess we humans create daily. Thus, it can be a better option to increase environmental sustainability and make this earth a safer and greener place to live.