scholarly journals Development of Water Quality Control and Monitoring Systems for Hydroponic Plants Based on the Embedded Web

Author(s):  
Rony Baskoro Lukito ◽  
◽  
Cahya Lukito

Hydroponics is a farming technology using water mixed with mineral nutrients which is continuously flowed to the roots of plants for 24 hours every day. The height of the water reserves, the water temperature, the nutrient content of the water and the pH of the water are some of the factors that need to be considered in planting crops using the hydroponic method. Regular observations and control functions of water quality are very important to ensure hydroponic plants can grow well. The function of controlling and observing water quality can be accomplished by developing a hardware system with an embedded Web equipped with a dosing-pump module to determine water quality based on the calculation of input data from the water quality sensor. With the embedded Web application, the control and observation functions can also be carried out remotely and periodically the hydroponic system can report the current state directly via the TCP/IP network. In this study, a second generation minimum system model will be developed which is the result of improvements from previous research. Water pH and water conductivity (EC) sensors can be activated simultaneously. The addition of a dosing-pump module is used to provide a liquid to adjust the pH value of water and plant nutrient fluids, while the addition of an embedded Web application to a Wi-Fi hardware module is to improve the ease of control and monitoring functions. Keywords—Embedded Web, Hydroponic water quality, Remote control and monitoring

2019 ◽  
Vol 4 (1) ◽  
pp. 75-82
Author(s):  
Avara Ghamaliel Ty ◽  
Pramudi Utomo

The purpose of this article is to describe the analysis, design and performance of prototype shrimp water quality control systems. This tool is expected to simplify and ease the work of shrimp farmers in checking water quality regularly. In its design consists of several steps, namely designing the design of tools, making mechanical systems, programming, and the final stage of testing. The main component that is used as the main control is Arduino Nano. Salinity sensor, DS18b20, and PH-4520C as components for monitoring water quality. 12V DC water pump as a stabilizer of the pH level in the water. Based on the results of testing the average error for the water temperature sensor, water pH sensor and salinity sensor are 0.74%, 2.06%, and 3.60%, respectively. The three error values are less than 10%. Based on the results of testing the pH of water, liquid pH up will be sprayed when the pH value of the water is less than 6.5. While the liquid pH down will be narrowed when the pH value of water is less than 8. The results of this performance test can work in accordance with the function and purpose.


CHIPSET ◽  
2020 ◽  
Vol 1 (01) ◽  
pp. 17-22 ◽  
Author(s):  
Mario Orlando ◽  
Desta Yolanda ◽  
Werman Kasoep

There are still a lot area that have not goten water from PDAM, therefore, people try to make artesian well made by themselves. Although, not all of them can afford to make their own artesian well. Therefore, governtment make a national program called Penyediaan Air Minum dan Sanitasi Berbasis Masyarakat (PAMSIMAS). Therefore, we need a technology which can detect and purify water turbidity for the water that people use everyday. People can see wether the water is decent to be consumed and if not therefore the system can pour alum automatically. The designed system in the form of conected hardware and software to monitor water quality based on turbidity and water pH through smartphone. Hardware system include microcontroller Arduino Uno, LDR sensor, pH sensor, servo motor, Sim808 modul and LED. The used softwares in this research are android aplication and firebase database. The system can save turbidity and pH data therefore, people can monitor through their smartphone and get information about level of the water. The goal of this system is to make people’s life become more easier to know the water’s condition and purify the water which will be used without going to the water tub


2018 ◽  
Vol 7 (3) ◽  
pp. 27-31
Author(s):  
Nadezhda Valerievna German ◽  
Alina Valentinovna Babicheva ◽  
Igor Viktorovich Manaenkov ◽  
Galina Aleksandrovna Sevriukova

The paper is devoted to ecological monitoring and system analysis of the Volgograd Region (the Sudomoyka Erik) reservoir. Environmental monitoring was conducted from March 2017 to February 2018. The set of studies included: determination of water organoleptic characteristics, the amount of dissolved oxygen in the water, pH value, a dry residue and bioindication. The authors note microorganism number increase: Synedra , Spirogyra , Mougeotia in July and September 2017 and in February 2018 which are biological indicators of water quality. The presence of a high number of microorganisms-bioindicators testifies to the supersaturation of water with oxygen and the formation of organic substances. The authors found an increase in salinity of water in March, July and December 2017, February 2018. In winter in the water of the Sudomoyka Erik the authors found large amounts of mucus, eggs of various insects, organic dirt, which indicates the water pollution in the winter. Water quality in the Sudomoyka Erik is unsatisfactory, the Eric is classified as a slightly polluted body of water. The Sudomoyka Erik cannot be used for domestic purposes by residents of nearby settlements and is unfavorable for swimming in summer. The ecological state of the Sudomoyka Erik determines the ecological state of the entire natural complex of the Volga-Ahtubinsky floodplain.


2020 ◽  
Vol 165 ◽  
pp. 03060
Author(s):  
Fan Heng

The water quality monitoring system proposed in this paper is to establish a monitoring system by using the ZigBee technology .The sensor nodes are placed in the monitoring area to form a tree-type network topology, and the data of the water quality parameters (including PH value, turbidity, water temperature, electric conductivity, etc.) are collected and analyzed. This paper mainly expounds the construction of the hardware system of the monitoring system, establishes the test model of the hardware system, simulates the placement of the sensor node to obtain the experimental data, and provides the hardware test result for the overall system design.


Author(s):  
A. K. M. Al-Amin ◽  
Md. Shahriar Azam ◽  
Md. Shazzadur Rahman ◽  
Afifa Tajremin ◽  
M. K. Haque ◽  
...  

In this study, the soil and water samples were analyzed to evaluate the effects of coal stockpile on soil and water quality at Haluaghat Upazilla, Mymensingh, Bangladesh. As a natural resource, coal has potential contributions to the development of economics of a country but coal storage deteriorates surrounding surface and ground water and soil quality in different ways. Besides, it has significant impacts on the arable lands and water catchments. The analyses of 10 soil and 10 water samples (5 samples from ground water and 5 samples from surface water) were collected at 0 m, 200 m, 500 m and 700 m distance from the coal storage area were carried out using standard methods. The pH, electrical conductivity (EC), organic matter (OM), macronutrients (N, P and K) and heavy metals (Lead and Cadmium) were analysed for soil samples and for water samples pH, EC, macronutrients (P and K), heavy metals (Pb and Cd) were analysed. From the results, it was observed that most of the value of soil and water quality components were higher at close to the coal stockpile area and gradually decreased with distance. Soil pH value showed a decreasing trend (5.2 to 3.2) with increasing distances from the coal storage area; whereas water pH increased gradually with increasing distances from the coal storage area. Soil OM content was found highest at the coal storage area, which decreased gradually with increasing distance. The content of soil N, P, K was also recorded highest at the coal storage area which followed decreasing trend with increasing distance. The content of Pb and Cd in soil adjacent to coal storage area was higher compared to distant areas (500-700 m) in paddy field. The soil quality might be deteriorated due to coal stockpile effluents. The effluents from the coal stockpile should be treated before it is discharged to soil or water.


2018 ◽  
Vol 19 (2) ◽  
pp. 155
Author(s):  
AFNI KHADIJAH ◽  
Muantulloh Muantulloh ◽  
Erni Krisnaningsih ◽  
Ellia Kristiningrum

<p>Nowadays, steel needs in the industrial and housing sectors are the most fundamental needs. Steel is used as raw material in manufacturing and construction processes so that good quality steel is required. In the production process to produce good quality steel there are still some problems that arise one cause of the quality of steel due to water quality degradation. Six sigma method is used for water quality control and seven tools method is used to analyze the factors causing water quality decrease. Several factors affect water quality factors such as pH, Cl, Turbidity, SS, Fe, m-Al, Ca-H, PO4. After the data is analyzed it is known that turbidity can cause the carrying of iron particles from the water so that will cause defects on the surface of the plate. Other quality factors such as pH have an impact on the level of engine corrosivity and steel piping. The more acidic or alkaline a solution the higher the corrosive level. Based on testing of water samples obtained turbidity parameter data experienced the largest deviation compared with other parameters so that handling on this parameter should be prioritized. The greater the value of turbidity, the greater the potential carrying iron crust particles that resulted in the buildup and blockage of the pipe. Based on analysis of quality control using six sigma obtained RPN value of dirty water supply equal to 579, RPN turbidity value 512, RPN pH value equal to 448, RPN Fe value 392 and RPN value Filter tool / filter water does not filter optimally equal to 336.</p>


eLEKTRIKA ◽  
2019 ◽  
Vol 11 (1) ◽  
pp. 26
Author(s):  
Andhika Irawan ◽  
Sri Heranurweni ◽  
Titik Nurhayati

<p>The need for water is very important for the production process, the water quality must also be considered the pH value so that the water is suitable for use in boilers or chillers. Seeing from these needs a simulation was made on matlab R2017a using a fuzzy toolbox that can find out the water quality with fuzzy mamdani method. This fuzzy logic simulation can determine the standard value of boiler water pH (10.5-11.5) and the standard pH value of chiller water (6-8) in the production machine. The methods in fuzzy logic used are mamdani and centroid methods as deffuzification with R2017a matlab simulation tool. The fuzzy inference system used is the mamdani method. This study made a simulation of mamdani method that can determine the quality of the PH water produced by using fuzzy logic. Chiller water pH can be used if iron ion values (0-2 ppm), silica ions (50-150 ppm), Total Dissolved Solid (TDS) (500-1000 ppm), total Hardness (100-200 ppm), M-alkalinity (500-750 ppm) from the standard value, the pH of the chiller water can be proven to reach a water pH value of 6-8. Boiler water pH can be used if iron ion values (0-2 ppm), silica ions (100-150 ppm), Total Dissolved Solid (TDS) (2000-3500 ppm), total Hardness (0-3 ppm), M-alkalinity (700-800 ppm) from the standard value, the pH of boiler water can be proven to reach a water pH value of 10.5-11.5.<br />Keywords: fuzzy logic, Mamdani method, pH of boiler water</p>


TAPPI Journal ◽  
2014 ◽  
Vol 13 (9) ◽  
pp. 51-60
Author(s):  
DENNIS VOSS ◽  
HANS-JOACHIM PUTZ ◽  
SAMUEL SCHABEL

The need for deinking mills to reduce their fresh water consumption has resulted in higher loads of various contaminants in the process water. Lower recovered paper quality also leads to higher contamination levels in the mills. This higher load has an influence on achievable target brightness. The objective of the work was to determine and explain the main reasons for relatively poor deinked pulp quality or poor deinking potential based on the influence of recovered paper composition and process water quality. The process water parameters significantly affect the deinking potential of recovered paper. The test results showed the negative effects of increased water hardness. For standard recovered paper mixtures, flotation selectivity is higher with increasing flotation pH-value. Good results were realized for standard recovered paper with low hardness, low surface tension, and high pH-value. The results for recovered paper containing flexo newsprint could be slightly improved with low hardness, low surface tension, and low pH-value. The results of the test program using design of experiments showed interacting effects of pH-value and surface tension on luminosity and flotation selectivity.


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