Smart Waste Management and Logistics for Municipal Solid Waste Collection Operations

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Smart Waste Management and Logistics for Municipal Solid Waste Collection Operations
GCTC logo 344x80.png
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Municipal Solid Waste Collection
Team Organizations Motorola Solutions
Scalable Strategies
Ecube Labs
Team Leaders Ed Davalos
Participating Municipalities Goyang
Korea
Status Launched
Document None

Description

  • Deployment of solar waste compacting bins, ultrasonic fill-level sensors and trackers/beacons
  • Utilization of data resource management platform to monitor & analyze various data points
  • Increase operational efficiency, reduction in collection frequency, strategic asset allocation, labor costs, and greenhouse gases

Challenges

The lack of waste collection data results in the lack of transparency and accountability

Solutions

The project integrates hardware (M2M) and software enabling real-time data along , route optimization, fill-level information w/ push notifications, and analysis of historical collection data

Major Requirements

  • Create scope and requirement, project plan
  • Identify the locations for hardware deployments within each city
  • Information regarding MSW containers (tech specs, model no., dimensions, field pictures)
  • Internal testing and proofing of hardware installation process
  • Provide access to software data for real-time monitoring
  • Gain stakeholder support and buy-in from the municipalities along with third party contractors

Performance Targets

Key Performance Indicators (KPIs) Measurement Methods
  • Average waste vehicle travel time compared to baseline
  • Average waste collection frequency compared to baseline
  • Average waste overflow rates compared to baseline
  • Solar waste compacting bin & ultrasonic fill-level sensors collect data in real-time and sends it back to the cloud server
  • Provide pre-study collection forms to attain current operational efficiency to be used as the baseline
  • After 3-6 month of collected data, compare with the baseline

Standards, Replicability, Scalability, and Sustainability

  • The software platform can be access either directly to through the cloud server or API access can be provided to be utilized as part of a bigger city dashboard.
  • Historical data collected will be analyzed to create standardized processes used to replicate and scale up cities/regions. The solution will be deployed in 4 US cities and 1 South Korean city
  • The projects will have its own business model to create sustainable revenue stream through advertisements, public WiFi as well as reduction in operational costs

Cybersecurity and Privacy

Impacts

  • Reduction in waste vehicle(s) and travel times
  • Reduction in Greenhouse gases
  • Improving quality of life
  • Cleaner public spaces
  • Creation of minority jobs
  • Transparency & accountability to residents

Demonstration/Deployment

  • Full deployment of solar powered waste compacting bins and/or ultrasonic fill level sensors will be in use and collecting real-time used to present at the event
  • Demo will include both real-time and historical data to compare results in collection frequency, travel time, gas, air pollution, and cost
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