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Related Concept Videos

Sampling Methods: Sample Types01:18

Sampling Methods: Sample Types

506
Sampling materials are classified into three main types: solid, liquid, and gas.
Solid samples include a variety of substances, such as sediments from water bodies, soil, metals, and biological tissues. Two standard methods for extracting sediments from water bodies are grab sampling and piston coring. Grab sampling involves using a device to collect a discrete sediment sample from the bottom of a water body with minimal disturbance. Grab samples do not always represent the entire area due to...
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Gravimetry: Overview01:05

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Gravimetric analysis is a quantitative method where the analyte is isolated and weighed directly or after conversion into a substance of known composition. Gravimetric analysis can be classified as precipitation, electrogravimetry, volatilization, and particulate gravimetry, based on the method used to isolate the analyte.
In precipitation gravimetry, the analyte is converted into a precipitate and weighed. For example, the silver content in a sample can be estimated by precipitating and...
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Vegetated Treatment Systems for Removing Contaminants Associated with Surface Water Toxicity in Agriculture and Urban Runoff
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Sensor-Based Solid Waste Handling Systems: A Survey.

S Vishnu1, S R Jino Ramson2, M S S Rukmini1

  • 1Department of Electronics and Communication Engineering, Vignan's Foundation for Science, Technology and Research, Guntur 522213, India.

Sensors (Basel, Switzerland)
|March 26, 2022
PubMed
Summary
This summary is machine-generated.

Automating urban solid waste management using smart sensors and wireless technology is crucial. Internet of Things (IoT) systems, particularly with LoRaWAN, offer the most effective solution for efficient waste handling and improved public health.

Keywords:
Internet of ThingsLoRaWANWi-Firemote monitoringsmart citysolid waste managementtrash bin

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Area of Science:

  • Environmental Engineering
  • Computer Science
  • Urban Planning

Background:

  • Rapidly growing urban populations generate escalating solid waste volumes.
  • Current urban solid waste management systems face significant challenges in collection, transportation, and disposal.
  • Ineffective waste management poses substantial environmental and public health risks.

Purpose of the Study:

  • To comprehensively study the evolution of automation in solid waste management systems.
  • To analyze existing literature on Radio Frequency Identification (RFID), Wireless Sensor Networks (WSN), and Internet of Things (IoT) based approaches.
  • To identify optimal communication technologies for automated trash bin deployment.

Main Methods:

  • Literature review and dissection of solid waste management approaches.
  • Analysis of typical architectures for RFID, WSN, and IoT-based systems.
  • Critical evaluation of communication technologies for smart waste bins.

Main Results:

  • Internet of Things (IoT)-based systems demonstrate superiority over other design approaches.
  • LoRaWAN is identified as the preferred communication protocol for urban solid waste automation.
  • Key open research issues and future directions in solid waste handling systems are highlighted.

Conclusions:

  • Automated solid waste management through cyber-physical systems offers a revolutionary solution.
  • IoT and LoRaWAN integration are essential for efficient and sustainable urban waste handling.
  • Further research is needed to address identified challenges and advance smart waste management technologies.