A survey of smart water quality monitoring system

Dong, Jianhua; Wang, Guoyin; Yan, Hao; Xu, Jing; Zhang, Xuerui

doi:10.1007/s11356-014-4026-x

Cited by 84 publications

(35 citation statements)

References 61 publications

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“…Деякі дослідження свідчать про високу мікробіологічну чистоту води в місці її забору, але в більшості випадків спеціалісти зауважують її зниження у водопроводі та напувалках. Так, середній рівень бактеріального обсіменіння ніпельної напувалки був в 20 разів нижчий, ніж у чашковій (Zasiekin et al, 2009;Vajsburd, 2014;Dong et al, 2015).…”

Section: вступunclassified

Sanitary and microbiological indicators of drinking water of livestock farms

2019

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The article presents data on the study of sanitary and microbiological indicators of drinking water of livestock farms. The criteria for sanitary and hygienic assessment of water from a microbiological point of view are the total amount of microflora and the presence or absence of Escherichia coli, the definition of pathogenic microorganisms, including salmonella, which characterize its fitness for consumption by animals. The main purpose of sanitary and microbiological research is to provide animals, the population with quality water, for which hygienic assessment of water of infectious safety for human and animal health is carried out. Full supply of livestock enterprises with good quality water is one of the main prerequisites for successful production of quality and safe livestock products. The goal of the work. In connection with this, the purpose of our research was to investigate the sanitary and microbiological parameters of the drinking water of livestock farms. Sanitary and microbiological studies of drinking water sources for animals were conducted. It was found that in the studied samples, the number of bacteria of the group of Escherichia coli (BGKP) in 1 liter of water (coli-index) ranges from 200 to 140 000 and more. Of all the samples tested for this indicator, only 39.4% of the reservoirs met the normative indicator. Water samples from artesian wells in 12.3% of cases did not meet the sanitary and hygienic requirements for the amount of BGKP. When carrying out sanitary-microbiological analysis of samples of water from various elements of water supply systems with respect to conditionally pathogenic microflora, it was found that the samples that were collected from the wafers had the highest degree of microbial contamination. The total number of microorganisms was 107 CFU/cm3, and the coli index exceeded 240 thousand units. Examining the water samples found that 40% of the samples had an increased amount of enterobacteria. From the samples tested, 100 cultures of conditionally pathogenic microflora were isolated, including E. faecalis – 32%, E. coli – 23%, E. cloacae – 9%, E. faecium – 11% and K. pneumoniae – 4%, of which 59.3 respectively: 30.4; 33.3; 54.5 and 75% had hemolytic properties. E. faecalis showed resistance to erythromycin, cefuroxime, benzylpenicillin, ampicillin, tetracycline, vancomycin; E. faecium – to vancomycin, ciprofloxacin, tetracycline; representatives of the family Enterobacteriacea (E. coli, K. pneumoniae, E. cloacae) – mainly to amoxicillin, streptomycin, levomycetin.

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Section: вступunclassified

Sanitary and microbiological indicators of drinking water of livestock farms

2019

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“…Для спостереження за змінами якості води та попередження захворювання населення внаслідок споживання водопровідної води пропонуються системи моніторингу, зокрема Smart-системи [15,16].…”

Section: аналіз літературних даних та постановка проблемиunclassified

Study of water quality in the distribution network of the centralized water supply system in the city of Lviv

Мацієвська¹

2015

EEJET

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“…Today, the dominant architecture implemented in smart grid deployments is cloud-based, where collected data are transmitted to cloud services for storage, integration and big data analysis. A detailed analysis of the enabling technologies for the smart water quality monitoring system related to data acquisition, data transmission and data processing was explored in [21]. Unfortunately, cloud data centre deployment around the globe is conducted in a centralized way, rendering it geographically secluded for large numbers of end-users.…”

Section: Introductionmentioning

confidence: 99%

A Smart Water Metering Deployment Based on the Fog Computing Paradigm

Amaxilatis¹,

Chatzigiannakis

Tselios

et al. 2020

Applied Sciences

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In this paper, we look into smart water metering infrastructures that enable continuous, on-demand and bidirectional data exchange between metering devices, water flow equipment, utilities and end-users. We focus on the design, development and deployment of such infrastructures as part of larger, smart city, infrastructures. Until now, such critical smart city infrastructures have been developed following a cloud-centric paradigm where all the data are collected and processed centrally using cloud services to create real business value. Cloud-centric approaches need to address several performance issues at all levels of the network, as massive metering datasets are transferred to distant machine clouds while respecting issues like security and data privacy. Our solution uses the fog computing paradigm to provide a system where the computational resources already available throughout the network infrastructure are utilized to facilitate greatly the analysis of fine-grained water consumption data collected by the smart meters, thus significantly reducing the overall load to network and cloud resources. Details of the system’s design are presented along with a pilot deployment in a real-world environment. The performance of the system is evaluated in terms of network utilization and computational performance. Our findings indicate that the fog computing paradigm can be applied to a smart grid deployment to reduce effectively the data volume exchanged between the different layers of the architecture and provide better overall computational, security and privacy capabilities to the system.

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A survey of smart water quality monitoring system

Cited by 84 publications

References 61 publications

Sanitary and microbiological indicators of drinking water of livestock farms

Sanitary and microbiological indicators of drinking water of livestock farms

Study of water quality in the distribution network of the centralized water supply system in the city of Lviv

A Smart Water Metering Deployment Based on the Fog Computing Paradigm

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