Evidence map›Paper›PMID 33144852›Full record

ArticleClean technologies and environmental policy2021

Framework for the implementation of an Internet of Things (IoT)-based water distribution and management system.

Ankit Anilkumar Maroli, Vaibhav S Narwane, Rakesh D Raut, Balkrishna E Narkhede

Open access · bronzeAbstract read
In one paragraph

Article in Clean technologies and environmental policy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.9field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 60 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Ankit Anilkumar MaroliDepartment of Mechanical Engineering, K. J. Somaiya College of Engineering, Vidyanagar, Vidya Vihar East, Ghatkopar East, Mumbai, Maharashtra 400077 India.
Vaibhav S NarwaneDepartment of Mechanical Engineering, K. J. Somaiya College of Engineering, Vidyanagar, Vidya Vihar East, Ghatkopar East, Mumbai, Maharashtra 400077 India.
Rakesh D RautDepartment of Operations and Supply Chain Management, National Institute of Industrial Engineering (NITIE), Vihar Lake, NITIE, Powai, Mumbai, Maharashtra 400087 India.
Balkrishna E NarkhedeDepartment of Industrial Engineering and Management Systems, National Institute of Industrial Engineering (NITIE), Vihar Lake, NITIE, Powai, Mumbai, Maharashtra 400087 India.
K J Somaiya Medical College · INNational Institute of Industrial Engineering · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstractThis study aims to identify issues plaguing rural India's water supply chain and present a general methodology for the implementation of an IoT-based water distribution and management system in a rural setting. Through the literature review, significant hurdles in the water supply chain of rural India, as well as the potential role of IoT in water supply chain management, were recognized. An implementation plan was proposed to design an IoT-based water distribution and management system with the help of flow meters, ultrasonic sensors, motors, etc. Also, the feasibility of such a system was explored with the help of a use case. This study highlighted that one of the most significant reasons for water scarcity in rural India is the lack of proper infrastructure leading to water resources mismanagement. In the context of our use case, despite adequate availability of physical water for consumption, by the time water is delivered to the consumers, a significant amount of it is wasted due to the lack of an efficient water management system. It was determined that the investment return for the proposed system would break even within three months of installment. This study's results are based on inputs from governmental data collected in the Census report of 2011. As such, the ground level scenario is bound to be comparatively different today. This study is anticipated to guide governmental organizations and policymakers in the formulation of new strategies. GRAPHIC ABSTRACT:

Indexed as

Internet of ThingsReturn on investmentSensorsWater lossesWater managementWater supply chain

Identifiers

PMID33144852
PMCPMC7594979
OpenAlexW3096450487

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.