Chemolex LtdChemolex LtdChemolex Ltd
(Monday - Friday)
info@chemolex.co.ke
Nairobi,Kenya
Chemolex LtdChemolex LtdChemolex Ltd

Collection and management of plastic waste

  • Blogs
  • Collection and management of plastic waste

The collection of data requires the use of Internet of Things (IoT) https://en.wikipedia.org/wiki/Internet_of_things which collects data right from when disposal is done in households to where it ends up. The combination of data mining and IoT can greatly improve accurate collection and management of waste.

This could be possible when smart bins, fitted with sensors, are created in every household. Waste management industry can access the data from the smart bins.Classification of Waste.Data mining can be used for classifying different types of waste in terms of sorting and type of degeneration.

This is important for the recycling industry because it provides the vital information of the type of plastic that needs to be recycled. There are very many different types of plastics, some are easier to recycle while other are extremely difficult to recycle and costly as well, therefore it’s important to classify them accordingly for easier recycling process and proper legislation put in place on which type of plastic should be banned or repurposed.

Tracking. Tracking of plastic waste is very useful to enable us to understand the mobility of plastic in the environment and how it affect the ecosystem. With data mining in place especially the movement of plastics in the drainage systems such as rivers will help in reducing the amounts of plastic waste that ends up in the oceans. The collection of visual data along rivers which can then be analyzed and provide important information on river plastics. Decision Making.

In plastic waste management, decision making involves making the policy decision regarding waste management easily with predictive patterns from the analyzed data using visualization tools such as trend lines, graphs and pie charts over a certain period of time. Waste collection systems not only help to cut costs, however they also help to reduce the business environmental impacts as well. Proper and dedicated application of data mining process helps the plastic waste management industry to carry out their processes systematically which will leave a positive and sustainable impact to the environment.

Previous Post