Waste2Green Management System (W2G-MS)

WCP Waste2Green – Urban Waste Collection Management system is a solution developed to specifically provide an enforcement of the collection of waste service charge and implementation of an end-to-end waste collection and transportation arrangement in Nigeria.

It is configured similarly to a product serving more than 40 cities in Europe that provides all the planning, the operational management, control, optimization and analytics for all the phases of the urban cleanness processes, boosts efficiency and contributes for a sustainable and clean 21st century city.

The solution is an artificial intelligence, cloud based SaaS software which provides the basis for WCP Capital’s deployment of the Waste Tariff Fund – a waste management payment and funding platform with seamless application in liquid and solid waste management.


W2G-MS is a powerful waste collection (fees and service) cloud based, artificial intelligence management software serving for more than 40 cities across Europe and South America that addresses all the phases of the urban cleanness processes. W2G- MS is capable of interacting with a wide variety of IoT/sensors and waste collection methodologies so the more efficient working methods can be implemented and adapted to each city’s specific needs.

Operations:

Designed to be used either by Municipalities or Waste Collection Service companies, Waste2 Green provides the following

  • Operations Planning and Management
  • Interaction with Vehicles, Collection Points, other Equipment & Final Waste Destinations
  • Interface with Producers, Citizens & Regulators
  • Data-Collection, Monitoring & Analytics
  • Patterns Identification & Predictions
  • Human Resources Management
  • Assets Management
  • Tracking, Location, Geo-Fencing
  • Intelligent “Routes Planning”
  • TAYP/PAYG/SMART Model
  • Reporting & KPI’s Monitorin

The W2G-MS Software is designed to interact with all the operational elements part of the waste collection process. From human resources scheduling (drivers and auxiliary personnel), collection assets and elements (such as collection and cleaning vehicles, containers and bins for different waste types, plastic bags, etc.), up to the waste deposits, final waste destinations and citizens.

Operators can plan the collection circuits based on real-time and historical data pattern behaviour learning. For each collection circuit plan, Operator can work with several variables such as:

  • Date/Hour for the collection
  • Area
  • Types of waste to consider
  • Containers to be considered by their filling level %
  • Vehicles to use
  • Operation Center those vehicles belong to
  • Preferred flow
  • Waste possible compression rates

W2G-MS will generate the collecting circuit, indicating the Optimal routes, optimal Number of vehicles needed, number of laps and other relevant variables.

Real time information about the current fill level of select containers in a certain zone.

W2G-MS can plan future collections shifts based on the learnings of historical data.

Example: Plan a shift to collect all the containers that will be above 30% load in the next 12 hours.

Collection Points can be uploaded on the system, including all the details of the installation point (type of containers, model, types of waste, etc.)

Information can be uploaded either manually or automatically via the W2G-MS RFID Handheld Reader.

W2G-MS provides the most commonly used performance KPI’s for Urban Waste Collection, automatically updated.

Specific custom made KPI’s can be created:

  • Collected Tons (Global, per Waste type, etc.)
  • Level of Incidents
  • Cost of Collection per collected Ton or per Number of inhabitants.
  • Efficiency KPI’s
  • Co2 Level Emissions
  • Tracking, Location, Geo-Fencing.
  • Vehicle Consoles with “Routes-to-Follow”, “Work-orders” and other info.
  • Automatic reading of Collected Containers.
  • Cargo Levels Monitoring (volume, weight).
  • Fuel Levels Monitoring.
  • Direct input to the platform on the most common occurrences container, container missing, road-block, etc.).
  • Collection Points Geo-Referencing, Geo-Fencing
  • Semi-Automated Containers Inventory
  • Filling Levels Reading
  • Temperature Monitoring
  • “Conditioned Access Container Zones” implementation

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