GPRS-Based Remote PLC Multi-Parameter Monitoring System

2013 ◽  
Vol 433-435 ◽  
pp. 1192-1196
Author(s):  
Xing Qiao Liu ◽  
Xiao Song Lu ◽  
Qing Feng Chong
Keyword(s):  
Water Quality ◽  
Water Environment ◽  
Water Quality Monitoring ◽  
Quality Parameter ◽  
Water Quality Parameter ◽  
Domestic Water ◽  
Controlling System ◽  
The Status ◽  
Communication Module ◽  
Parameter Monitoring

This paper analyzes the status and problems of domestic water quality monitoring, and presents a controlling system,that takes the PC as monitoring computer and Siemens S7-226 programmable logic controller (abbreviated PLC) as the terminal equipment, to realize wireless transmission of data and instructions via GPRS communication module. Also it elaborates water quality parameter monitoring systems hardware and software implementation. The result shows that the system is stable and reliable, and method is easy for operator to grasp. Through real-time monitoring and controlling, the result shows that its value is stable, achieves the intended purpose. It provides a practical way to improve china's water environment.

scholarly journals Study of IoT Based Smart Water Quality Monitoring System

2021 ◽  
Vol 9 (VIII) ◽  
pp. 794-799
Author(s):  
Shubham Srivastava
Keyword(s):  
Water Quality ◽  
Monitoring System ◽  
Traditional Approach ◽  
Water Quality Monitoring ◽  
Quality Parameter ◽  
Quality Monitoring ◽  
Water Quality Parameter ◽  
Monitoring Systems ◽  
Smart Water ◽  
Parameter Monitoring

IoT based water quality parameter monitoring system is a significant interest in the field of cost-effective smart water quality monitoring systems. As we know that the population growth of your country is high in last few decades. In India, the demand for freshwater for drinking purposes, agriculture, and other activities is much higher than compared to other countries. The requirement of a smart water quality parameter monitoring system is necessary to reduce the time required in the traditional approach of water quality monitoring, and for real time monitoring. This literature survey work has been conducted in the field of smart water quality parameter monitoring systems. Sensor-based smart water quality parameter monitoring in past some research carried out which is deployed in the water.

scholarly journals Water quality of Narai canal and Balu river of Dhaka City: An impact of industrialization

2016 ◽  
Vol 12 (2) ◽  
pp. 285-290 ◽  
Author(s):  
S Roy ◽  
LN Banna ◽  
M Hossain ◽  
H Rahman
Keyword(s):  
Water Quality ◽  
Quality Parameter ◽  
Parameter Analysis ◽  
Effluent Treatment ◽  
Water Quality Parameter ◽  
Domestic Water ◽  
Environmental Consideration ◽  
Rapid Industrialization ◽  
Standard Limit

Rapid industrialization around riverside without having proper environmental consideration causes severe water pollution in our country. On accordance with the consecution of this problem the study was conducted to investigate the water quality of Narai canal and Balu river during January to June, 2012. Water quality parameter analysis i.e. color, odor, pH, total dissolved solids (TDS), dissolved oxygen (DO), ammonium (NH4) results show that except pH all exceeded standard limit for domestic water use, irrigation and fish cultivation. The minimum and maximum values of pH, TDS, DO and NH4 were 6.89-7.33, 982-1308 ppm, 0.33-2.12 ppm and 6.79-89.76 ppm, respectively. Present analysis with secondary research data also revealed that this pollution rate is becoming intensified quickly which may pose a great threat in future for human health, ecosystem and sustainable agricultural production. So, Effluent Treatment Plants (ETP) is urgently needed to minimize the concentration of pollutants and ultimately to save the river water of the concerned area.J. Bangladesh Agril. Univ. 12(2): 285-290, December 2014

scholarly journals SISTEM MANAJEMEN KOMUNIKASI DATA JARAK JAUH BERBASIS TEKNOLOGI SMS DAN RADIO TELEMETRY UNTUK PEMANTAUAN KUALITAS AIR

2018 ◽  
Vol 4 (1) ◽  
Author(s):  
Heru Dwi Wahjono ◽  
Bayu Budiman
Keyword(s):  
Water Quality ◽  
Technology Development ◽  
Radio Telemetry ◽  
Warning System ◽  
Water Quality Monitoring ◽  
Quality Parameter ◽  
Digital Data ◽  
Quality Monitoring ◽  
Water Quality Parameter ◽  
Data Logger

Nowadays the water quality monitoring project that had been doing by government institution is increase due to decreasing of water quality. Many methods and techniques are developed for water quality monitoring. The communication technology development such as GSM/CDMA technology can be used as new network infrastructure for water quality monitoring. People over the world are now using this technology as new communication medium. With SMS as the one of services from GSM technology people can send or receive messages easily. By using the integration of digital sensor for water quality, digital data logger and GSM modem as communication unit, the water quality can be monitored as cheap as sending the SMS by phone cell. The critical value of water quality parameter also can be monitored and sent to the phone cell of decision maker. Kata Kunci : Pemantauan Kualitas Air, Teknologi SMS, Radio Telemetry, Early Warning System (EWS), sistem komunikasi GSM (Global System Mobile Communication), SMS (Short Messages Service).

scholarly journals WATER EXTRACTION ON THE HYPERSPECTRAL IMAGES OF GAOFEN-5 SATELLITE USING SPECTRAL INDICES

2020 ◽  
Vol XLIII-B3-2020 ◽  
pp. 441-446
Author(s):  
Y. Liu ◽  
C. C. Xiao
Keyword(s):  
Water Quality ◽  
Water Quality Monitoring ◽  
Quality Parameter ◽  
Water Bodies ◽  
Water Extraction ◽  
Water Quality Parameter ◽  
Water Index ◽  
Water Plants ◽  
New Generation ◽  
Extraction Experiment

Abstract. Water extraction from remote sensing images can be applied in water resources monitoring, as well as an essential preprocessing for water quality parameter retrieval. China’s new generation Gaofen-5 satellite carries a hyperspectral imager named AHSI, which is suitable for water quality monitoring. In this paper, to determine the spectral index most suitable for AHSI data’s water extraction, we selected a large lake and a reservoir in China as the study areas, and used corresponding AHSI data for water extraction experiment. In the experiment, NDWI, MNDWI and AWEI were all tested on the AHSI reflectance data, and major water bodies were delineated by implementing the histogram bimodal method on the water index images. Based on analyses with water index images and water extraction results, NDWI is shown to be the optimal index for water extraction of AHSI data among these three widely-used indexes, as it can accurately extract water bodies and also eliminate pixels of water plants or shadows between land and water. In addition, MNDWI can be used on AHSI data since it is most robust in terms of providing a bimodal histogram. AWEI is, however, not suggested to be used for water extraction of the AHSI data.

Water quality parameter forecast based on grey neural network modeling

2009 ◽  
Vol 29 (6) ◽  
pp. 1529-1531 ◽  
Author(s):  
Wei-ren SHI ◽  
Yan-xia WANG ◽  
Yun-jian TANG ◽  
Min FAN
Keyword(s):  
Neural Network ◽  
Water Quality ◽  
Network Modeling ◽  
Quality Parameter ◽  
Water Quality Parameter ◽  
Neural Network Modeling

scholarly journals Nutrient, pH, Alkalinity, and Ionic Property Levels in Runoff Containment Basins in Alabama, Louisiana, Maryland, Mississippi, and Virginia Ornamental Plant Nurseries

HortScience ◽  
2017 ◽  
Vol 52 (4) ◽  
pp. 641-648 ◽  
Author(s):  
Warren E. Copes ◽  
Haibo Zhang ◽  
Patricia A. Richardson ◽  
Bruk E. Belayneh ◽  
Andrew Ristvey ◽  
...  
Keyword(s):  
Water Quality ◽  
Ammonium Nitrogen ◽  
Quality Parameter ◽  
Ornamental Plant ◽  
Total Alkalinity ◽  
Water Quality Parameter ◽  
Runoff Water ◽  
Manganese Zinc ◽  
Water Ph ◽  
Parameter Values

Nine runoff containment basins (RCBs), used directly or indirectly for irrigating plants in ornamental plant nurseries, and one adjacent stream were sampled for water quality between Feb. and July 2013 in Maryland (MD), Mississippi (MS), and Virginia (VA). Triplicate water samples were taken monthly. Analysis was done for 18 water quality variables including nitrate-nitrogen (NO3−-N) and ammonium-nitrogen (NH4+-N), orthophosphate-phosphorus (PO4-P) and total-phosphorus (T-P), potassium, calcium, magnesium, sulfur, aluminum, boron (B), copper (Cu), iron (Fe), manganese, zinc (Zn), pH, total alkalinity (T-Alk), electrical conductivity (EC), and sodium. Additionally, 15 RCBs from 10 nurseries in Alabama (AL), Louisiana (LA), and MS were sampled in 2014 and 2016. Most prevalent correlations (P = 0.01) were between macronutrients, EC, B, Fe, and Zn, but none were prevalent across a majority of RCBs. Water quality parameter values were mostly present at low to preferred levels in all 25 waterways. Macronutrient levels were highest for a RCB that receives fertility from fertigation derived runoff. Water pH ranged from acidic to alkaline (>8). Results of this study show water quality in RCBs can be suitable for promoting plant health in ornamental plant nurseries, but also shows levels will vary between individual RCBs, therefore demonstrates need to verify water quality from individual water sources.

scholarly journals Panjang Karapas dan Laju Pertumbuhan Spesifik Kepiting Bakau (Scylla serrata) yang diberi Jenis Pakan Berbeda di Area Ekowisata Kampung Kepiting, Bali

2017 ◽  
Vol 4 (1) ◽  
pp. 38
Author(s):  
Ni Desak Putu Ida Suryani ◽  
Pande Gde Sasmita Julyantoro ◽  
Ayu Putu Wiweka Krisna Dewi
Keyword(s):  
Water Quality ◽  
Mangrove Ecosystem ◽  
Quality Parameters ◽  
Quality Parameter ◽  
Scylla Serrata ◽  
Coastal Vegetation ◽  
Water Quality Parameter ◽  
Mud Crab ◽  
Different Types ◽  
Critical Components

Mangrove forest is tropical coastal vegetation that grow on muddy and sandy soils which affected by sea tides. One of important commercial species that live in mangrove ecosystem is the mud crab (Scylla serrata). Feed and water quality have been considered as critical components for supporting the growth both of weight and carapace length of this species. This study was conducted from January to February 2017 in the area of ??Ecotourism Kampung Kepiting, Bali. The influence of different natural feed such as Jerbung shrimp (Penaeus merguiensis), Mollusca, lemuru fish (Sardinella lemuru) and sea worms (Nereis sp.) on the growth performance of the mud crab were investigated. Water quality parameter data such as pH, DO, temperature, salinity and ammonium were also collected. The obtained data were analyzed by using variance analysis of Statistical Product and Service Solutions (SPSS) version 21. The result showed that the use of different types of feed have no effect on  the length of carapace, but it has significantly influence on  the specific growth rate of mud crab. Finally, different types of the given feeding were still resulted in the save range of water quality parameters for mud crab culture.

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