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International
OPEN ACCESS Journal
Of Modern Engineering Research (IJMER)
| IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 7 | Iss. 7 | August 2017 | 66 |
Design a WSN Control System for Filter Backwashing Process
*
Magdi Osman Ali1
, Muawia Mohamed Ahmed2
1,2
(Control System department, College of Engineering, Al-Neelian University, Sudan)
Corresponding author: *Magdi Osman Ali
I. INTRODUCTION
Todays, there are varieties of Control devices with supported software available in the markets, provide
higher capabilities to monitor and control industries and environments through straightforward configuration of
function blocks. These control's devices can do arithmetic and logic operations such as carry out simple
addition/subtraction or make a data comparison to a reference points. These Controllers working to accept input
data as a signal, process these data, and perform outputs as a control signals (Cecílio, 2013). The programmable
logic controllers (PLCs) which have been invented in 1970s, recently became the most common in industrial and
environmental control with higher flexibility of use. Most of this due to the advantages they offer: cost effective
for controlling complex systems; flexible and can be reapplied to control other systems quickly and easily;
computational abilities allow more sophisticated control; troubleshooting aids make programming easier and
reduce downtime; reliable components make these likely to operate for years before failure (Chakraborty, 2016).
Usually the PLC's inputs and outputs are connected with outside world via wires as a communication medium,
while in this work no wires will be used, therefore, the communication between PLC and peripherals
components will be through wireless module.
II. BACKWASHING PROCESS
Nowadays, most of countries face severe and rising challenges in their efforts to meet the need for
adequate water that is driven by increasing populations (Nkwonta, 2010). Thus, there is a necessity for adequate
hygiene drinkable water at the right time with high levels of efficiency in production (Ali, 2015). Accordingly,
the automated control system is an important to be applied in the water treatment processes to achieve a desired
system response (DORF, 2011). For instant the filtration process which involves passing water through fine
granular materials, such as sand (Xue, 2011). As more and more raw water passed through the filter, suspended
particles are accumulating within the media, reaching impermissible levels that lead to one of the two destructive
events. They can either cause the filter head loss within the filter to reach excessively high levels, or hardly
pushed through the media, resulting of bad quality of treated water. Therefore, in order to maximize the use of a
given filter within a safe mode, it becomes necessary to remove these entrapped particles from the media itself.
Filter backwashing is the process by which this is accomplished. It refers to pumping water and air backwards
through the filters media as illustrated in figures 1.
ABSTRACT: Day by day, there is a higher rate of need for accurate automation system to be used in
industries and environment monitoring and control. In water treatment plants during the filtration phase,
there is a process called backwashing, which particles suspended in the filter basin are removed. in this
process the water are forcedly pumped through the filter in upward direction at enough speed to expand
the filter media. Therefore, various types of valves used, which are opened and closed in a time
sequencing manner. The paper proposed an automation control system for the backwashing process to be
initiated and completed automatically using PLC, level sensors and valves installed inside the filter basin.
Practically, a control system has been applied which all valves are opened and closed according to
wireless signals coming from PLCs on its suitable time. In summary, the control in the process
demonstrated that the proposed system is efficient, effective, and able to be reliable. Besides, the results
increase the productivity at a low-cost mode.
Keywords: filter backwashing, PLCs, Sensors, Valves, WSN Control.
Preparation of Papers for International Journal of Modern Engineering Research
| IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 7 | Iss. 7 | August 2017 | 67 ||
Washing Filter
Backwashing direction
FIGURE 1: Filter backwashing process; a) filter basin. b) washing direction.
source: http://www.thewatertreatments.com/water-treatment-filtration/rapid-sand-filters/
III. PLC SYSTEM
Nowadays, the real time operation is essential for automation; hence, several applications of process
control are critical mission and possess stringent (Yu, 2012). The PLC is a computational device which can
accomplished this process since the output results mostly depend on the input condition within a setting time
(Reddy, 2014). The PLC is designed to deal with inputs and outputs of different components, so we can get the
data from the sensors, work with it and then rule the actuators (Mousavi, 2016). Before uploaded to the PLC,
the control program is written in a computer using especial software. The program can be written using one of
three different methods, which are ladder logic, functional block diagram or statement list (Nandgave, 2014). For
this purpose the ladder logic has been used.
3.1 PLC System Components
Figure 2 illustrates the system components of a PLC. The function of PLC is to received data from
input module, processed it and passes those output control signals to the control unit. The command task is
performed by an output module. These controlled PLC signals are suitable to operate and invoke the plant
actuators.
Preparation of Papers for International Journal of Modern Engineering Research
| IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 7 | Iss. 7 | August 2017 | 68
||
3.2 Sensor
Sensor is an electronic instrument widely used for measuring any parameter or controlling the
mechanism of any system that is under operation. In simple words it is a device which responds to the physical
input applied and gives the electrical output that carries information. Automation is quiet essential in any control
system, and it is incomplete without sensors. In any control system sensor plays a vital role in controlling its
operations (Cecílio, 2013).
3.3 Valve Device
The wireless sensor is a bi-directional small powered device, which can transmits and receives data.
The device is fixed on the valve or actuator, and it capable to send its situation information in appropriate time.
The industrial automation using a wireless instead of wire that would normally connect a central control module
to the valve, canceled the need of a lot of wire or the expensive civil works (Lewalski, 2011).
3.4 XBee Communication Module
XBee module is the most common in use as a data transmitter and receiver wireless device. It is
resilient, easy configurable with other XBees in a network, and compatible interfacing with computers and
microcontrollers (Sparkfun, 2016).
3.5Microcontroller
The microcontrollers are programmable input/output electronic circuits that can be used to carry out a
vast range of tasks. They can be programmed to be a computing unit. In this system the microcontroller used as
an interface device to communicates a data between sensors and valves with communication module. Therefore,
it used to help PLC by holding some computations to accelerate the processing so as to decrease the PLC
overload.
IV. THE PROPOSED AUTOMATION CONTROL
In order to be saved and functioned perfectly with full capacity through a day, the filter efficiency
influenced by the effectiveness of the backwashing methods. This efficiency can be controlled by installed water
level sensors in the filter basin. When the water level inside the basin exceeds impermissible level, backwashing
operation is executed automatically with the PLCs program aid.
To implement the system, the paper used sensors for measuring the water level, XBee as a wireless
communication module, microcontroller as a data acquisition before it send, and automated water valves for inlet
(Iv), outlet (O¬v), drain (Dv), washing (Wv), and compressed air valve (Av) to be opened and closed according
to the received signals from the PLC control module. The proposed systems should work properly to get the
ideal use of filters, as well as, will be reasonable if it achieves the minimum human errors and the cost (Wei,
2016).
V. RESULTS AND DISCUSSION
This section describes the implementation of the proposed control system. Initially, the control design
has been setup as shown in Figure 3. The PLCs has been connected to the basin valves wirelessly through a
wireless communication module and microcontroller as illustrated by figure 3 (b). When the water reached
impermissible level, the input signal from basin sensors received by microcontroller which checks the data
before it sends to the PLC via XBee communication module as shown in figure 3 (c). Accordingly, the PLCs
takes a decision and then create outputs to the filter valves in order to be opened and closed automatically as
shown in figure 3 (a).
Preparation of Papers for International Journal of Modern Engineering Research
| IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 7 | Iss. 7 | August 2017 | 69
||
Therefore, the control runs as it follows: When the PLCs receives a signal coming from the sensors, it
determines the start of the washing process, then accomplish the following steps: first, closes the filter inlet and
outlet water valve; second, opens drain valve and then opens the backwash compressed air valve for 30 second,
then closes air valve and opens the backwash clean water valve for 60 second; third, closes the wash valve and
the system waits for 15 second until the dirty water pass before terminates the backwashing process; forth,
reverse the state of inlet, outlet and drain water valves to restart again the filtration process. The operations time
of these valves collected from plant and it was arranged for to be used in the program.
In this test seven timers as shown in Table (1), are set within the PLC program to control the time for each step
of the filter washing process. Also five indicators are connected to the outputs of the PLC to represent the valves
which are involved in the filter washing process.
Table 1: Demonstrates a complete time cycle of the filter washing process.
Step Valve PLC timers
configuration
Operation
timer time
1 I.W. Valve TT1 15 seconds Closing filter inlet water valve
2 O.W. Valve TT2 15 seconds Closing of outlet clarified water valve
3 D.W Valve TT3 15 seconds Opening of drain water valve
4 A. Valve TT4 45 seconds Opening of air valve
5 C.W Valve TT5 75 seconds Opening of clean wash water valve
6 Aux Timer TTC 15 seconds To closing the washing valve
7 Reset Timer TTG 30 seconds To terminate the washing process
Communication module
XBee
X
Microcontroller connected
to the filter valves
LS IV OV DV AV WV
Node 1
Node 2
Node n
(b)
Figure 3: System Model. (a) Filter Basin components
(b) Communication Module (c) Control Module.
Communication
module XBee
X
(c
)
(a)
Preparation of Papers for International Journal of Modern Engineering Research
| IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 7 | Iss. 7 | August 2017 | 70 ||
The control steps which have been implemented by PLCs can be signified by the following flowchart, figure 5.
A Ladder Logic has been used for programming backwashing process so as to be functioned in the
PLCs. The program output represented these processes shown in figure 4 (Schneider, 2015).
Start
Check Level Sensors S0,
S1
IF S0=0
and S1 =1
Close inlet water valve
and outlet water valve
Wait for 15 second, and
then close the drain valve
Open inlet water valve
and outlet water valve
Terminate the washing
process and restart
filtration
Open wash water valve
for 75 second
Open compressed air
valve for 45 second
Start backwashing
process
Open the drain water
valve
NO
[‫اك‬
‫تة‬
‫اقت‬
ً‫ا‬‫تاس‬
‫هي‬
‫الن‬
‫ستٌد‬
‫أو‬
‫هي‬
‫هلخ‬
‫ص‬
‫ًقط‬
‫ج‬
‫هام‬
‫ج‬.
‫يول‬
‫ًل‬
‫و‬
‫ضع‬
‫هر‬
‫تع‬
‫الي‬
‫ص‬
‫في‬
‫أي‬
‫هكا‬
‫ى‬
‫في‬
‫الن‬
‫ستٌد‬
.
‫اس‬
‫تخد‬
‫م‬
YES
[‫اك‬
‫تة‬
‫اقتثا‬
ً‫ا‬‫س‬
‫هي‬
‫الن‬
‫ستٌد‬
‫أو‬
‫هي‬
‫هلخ‬
‫ص‬
‫ًقطح‬
‫هاهح‬
.
‫يول‬
‫ًل‬
‫وض‬
‫ع‬
‫هرب‬
‫ع‬
‫الي‬
‫ص‬
‫في‬
‫أي‬
‫هكا‬
‫ى‬
‫في‬
‫الن‬
‫ستٌد‬
.
‫است‬
‫خدم‬
Figure 5: Control Algorithm
Preparation of Papers for International Journal of Modern Engineering Research
| IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 7 | Iss. 7 | August 2017 | 71 ||
VI. CONCLUSION
The paper addresses the problem caused by suspended particles that accumulating within the filter
media. These particles reached impermissible levels that lead to one of the two destructive events. They can
either cause the head loss within the filter to reach excessively high levels, or hardly pushed through the media,
resulting of bad quality of treated water. Automation control has been suggests for these filters; therefore, the
backwashing process for these filters accomplished automatically using level sensors installed inside the filter
basin, and automated valves. The system based PLC controller that provides a platform for programing the
filters valves. When the water reached impermissible level, the sensor send a signal to the controller to start the
backwashing, the filter valves are opened and closed according to wireless signals coming from PLCs on in a
different sequencing manner. In summary, the backwashing initiated successfully using level sensors; the filter
Preparation of Papers for International Journal of Modern Engineering Research
| IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 7 | Iss. 7 | August 2017 | 72 ||
valves are working properly according to PLCs wireless control signals. The obtained results capable to saving
the filters, efficient to accelerate the filtration process and therefor the production will be increased with low-
cost.
6.1 Further study:
Due to the numbers of higher critical components used, we suggest the use of effective methods and
tool to measure and evaluate the dependability for these types of system.
REFERENCES
[1]. Cecílio, J., & Furtado, P. “Wireless Sensors in Industrial Time-Critical Environments.” http://doi.org/10.1007/978-
3-319-02889-7. p 24-25, 2013
[2]. Chakraborty K., De P., Roy I. “Industrial Applications of Programmable Logic Controllers and.” Anchor
Academic Publishing. P 14. 2016. Accessed on April 2017. http://www.worldcat.org/title/industrial-applications-
of-programmable-logic-controllers-and-scada/oclc/962304082/viewport
[3]. DORF, R. C. and Bishop, R. C. “Modern Control Systems.” Pearson International Edition. 11th edition. p 2.
2011.
[4]. Lewalski, A. “Short Distance Telemetry for Piston Monitoring School of Engineering.” Design and Technology.
2011. Accessed on April 2016.
https://bradscholars.brad.ac.uk/bitstream/handle/10454/5408/Short%20Distance%20Telemetry%20for%20Piston
%20Monitoring.pdf?sequence=1
[5]. Mousavi, A. Danishvar, M and Spieser, A. “Programmable Logic Controller.” . 2016. Accessed on January 2017.
www.brunel.ac.uk/.../bit/PLC%20programming%20WEEK%201.pdf.
[6]. Nandgave, Amit, Harshal Deshbhratar, Saket Khandare, and Lokesh Heda. “Industrial Drives & Automation Using
PLC” 3 (2): 2228–33. 2014. Accessed on March 2017. www.ijert.org/download/8350/industrial-drives-a-
automation-using-plc
[7]. Nkwonta, O. I., Olufayo, O. A., Ochieng, G. M., Adeyemo, J. A., & Otieno, F. A. O. “Turbidity removal: gravel
and charcoal as roughing filtration media.” South African Journal of Science,106(11-12),1–5. 2010.
http://doi.org/10.4102/sajs.v106i11/12.196
[8]. Osman Ali, Magdi, and Abdalrasol J. Alzubaidi. “The Use of Technology in a Water Treatment Process.” African
Journal of Science, Technology, Innovation and Development 7 (5): 336–41. 2015.
doi:10.1080/20421338.2015.1085158.
[9]. Reddy, C. P., & Plc, C. “Programmable Wireless Sensor Network for Industrial Automation and Environmental
Safety.” p 6–10. 2014.
[10]. Sparkfun. “Exploring XBees and XCTU.”. 2016. Accessed on Oct. 2016.
https://learn.sparkfun.com/tutorials/exploring-xbees-and-xctu.
[11]. Tariku, G. “Performance Evolution of Drinking Water Treatment Plant.” Addis Ababa University. 2013. Accessed
on march 2017. www.etd.aau.edu.et/bitstream/123456789/3967/3/Tariku%20Gebretsadik.pdf
[12]. Wei, D., & Ji, K. “Quanyan Zhu. Cyber Security for Industrial Control Systems: From the Viewpoint of Close-
Loop, p 152. 2016.
[13]. Xue, F. “The Effect of Backwashing Procedures on Filter Ripening and General Effluent Quality,” p 17. 2011.
Accessed on December 2016 www.citg.tudelft.nl/fileadmin/Faculteit/.../Thesis_Report_Final_-_Feng_Xue.pdf
[14]. Yu, J., Qi, Y., Wang, G., & Gu, X. “A cluster-based routing protocol for wireless sensor networks with
nonuniform node distribution. AEU-International Journal of Electronics and Communications, 66(1), 54-61. 2012.
Accessed on January 2017. http://www.sciencedirect.com/science/article/pii/S1434841111001312
[15]. Schneider-Electronic. “Zilosoft v2,” http://www.schneider-electric.com/en/download/
[16]. Schneider-Electronic “SIEMENS – Basics of PLC-LEARN PLC,” http://WWW.PLCS.NET. Accessed on Oct.
2016.
*Magdi Osman Ali " Design a WSN Control System for Filter Backwashing Process." International
Journal Of Modern Engineering Research (IJMER) 7.7 (2017): 66-72.

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Design a WSN Control System for Filter Backwashing Process

  • 1. International OPEN ACCESS Journal Of Modern Engineering Research (IJMER) | IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 7 | Iss. 7 | August 2017 | 66 | Design a WSN Control System for Filter Backwashing Process * Magdi Osman Ali1 , Muawia Mohamed Ahmed2 1,2 (Control System department, College of Engineering, Al-Neelian University, Sudan) Corresponding author: *Magdi Osman Ali I. INTRODUCTION Todays, there are varieties of Control devices with supported software available in the markets, provide higher capabilities to monitor and control industries and environments through straightforward configuration of function blocks. These control's devices can do arithmetic and logic operations such as carry out simple addition/subtraction or make a data comparison to a reference points. These Controllers working to accept input data as a signal, process these data, and perform outputs as a control signals (Cecílio, 2013). The programmable logic controllers (PLCs) which have been invented in 1970s, recently became the most common in industrial and environmental control with higher flexibility of use. Most of this due to the advantages they offer: cost effective for controlling complex systems; flexible and can be reapplied to control other systems quickly and easily; computational abilities allow more sophisticated control; troubleshooting aids make programming easier and reduce downtime; reliable components make these likely to operate for years before failure (Chakraborty, 2016). Usually the PLC's inputs and outputs are connected with outside world via wires as a communication medium, while in this work no wires will be used, therefore, the communication between PLC and peripherals components will be through wireless module. II. BACKWASHING PROCESS Nowadays, most of countries face severe and rising challenges in their efforts to meet the need for adequate water that is driven by increasing populations (Nkwonta, 2010). Thus, there is a necessity for adequate hygiene drinkable water at the right time with high levels of efficiency in production (Ali, 2015). Accordingly, the automated control system is an important to be applied in the water treatment processes to achieve a desired system response (DORF, 2011). For instant the filtration process which involves passing water through fine granular materials, such as sand (Xue, 2011). As more and more raw water passed through the filter, suspended particles are accumulating within the media, reaching impermissible levels that lead to one of the two destructive events. They can either cause the filter head loss within the filter to reach excessively high levels, or hardly pushed through the media, resulting of bad quality of treated water. Therefore, in order to maximize the use of a given filter within a safe mode, it becomes necessary to remove these entrapped particles from the media itself. Filter backwashing is the process by which this is accomplished. It refers to pumping water and air backwards through the filters media as illustrated in figures 1. ABSTRACT: Day by day, there is a higher rate of need for accurate automation system to be used in industries and environment monitoring and control. In water treatment plants during the filtration phase, there is a process called backwashing, which particles suspended in the filter basin are removed. in this process the water are forcedly pumped through the filter in upward direction at enough speed to expand the filter media. Therefore, various types of valves used, which are opened and closed in a time sequencing manner. The paper proposed an automation control system for the backwashing process to be initiated and completed automatically using PLC, level sensors and valves installed inside the filter basin. Practically, a control system has been applied which all valves are opened and closed according to wireless signals coming from PLCs on its suitable time. In summary, the control in the process demonstrated that the proposed system is efficient, effective, and able to be reliable. Besides, the results increase the productivity at a low-cost mode. Keywords: filter backwashing, PLCs, Sensors, Valves, WSN Control.
  • 2. Preparation of Papers for International Journal of Modern Engineering Research | IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 7 | Iss. 7 | August 2017 | 67 || Washing Filter Backwashing direction FIGURE 1: Filter backwashing process; a) filter basin. b) washing direction. source: http://www.thewatertreatments.com/water-treatment-filtration/rapid-sand-filters/ III. PLC SYSTEM Nowadays, the real time operation is essential for automation; hence, several applications of process control are critical mission and possess stringent (Yu, 2012). The PLC is a computational device which can accomplished this process since the output results mostly depend on the input condition within a setting time (Reddy, 2014). The PLC is designed to deal with inputs and outputs of different components, so we can get the data from the sensors, work with it and then rule the actuators (Mousavi, 2016). Before uploaded to the PLC, the control program is written in a computer using especial software. The program can be written using one of three different methods, which are ladder logic, functional block diagram or statement list (Nandgave, 2014). For this purpose the ladder logic has been used. 3.1 PLC System Components Figure 2 illustrates the system components of a PLC. The function of PLC is to received data from input module, processed it and passes those output control signals to the control unit. The command task is performed by an output module. These controlled PLC signals are suitable to operate and invoke the plant actuators.
  • 3. Preparation of Papers for International Journal of Modern Engineering Research | IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 7 | Iss. 7 | August 2017 | 68 || 3.2 Sensor Sensor is an electronic instrument widely used for measuring any parameter or controlling the mechanism of any system that is under operation. In simple words it is a device which responds to the physical input applied and gives the electrical output that carries information. Automation is quiet essential in any control system, and it is incomplete without sensors. In any control system sensor plays a vital role in controlling its operations (Cecílio, 2013). 3.3 Valve Device The wireless sensor is a bi-directional small powered device, which can transmits and receives data. The device is fixed on the valve or actuator, and it capable to send its situation information in appropriate time. The industrial automation using a wireless instead of wire that would normally connect a central control module to the valve, canceled the need of a lot of wire or the expensive civil works (Lewalski, 2011). 3.4 XBee Communication Module XBee module is the most common in use as a data transmitter and receiver wireless device. It is resilient, easy configurable with other XBees in a network, and compatible interfacing with computers and microcontrollers (Sparkfun, 2016). 3.5Microcontroller The microcontrollers are programmable input/output electronic circuits that can be used to carry out a vast range of tasks. They can be programmed to be a computing unit. In this system the microcontroller used as an interface device to communicates a data between sensors and valves with communication module. Therefore, it used to help PLC by holding some computations to accelerate the processing so as to decrease the PLC overload. IV. THE PROPOSED AUTOMATION CONTROL In order to be saved and functioned perfectly with full capacity through a day, the filter efficiency influenced by the effectiveness of the backwashing methods. This efficiency can be controlled by installed water level sensors in the filter basin. When the water level inside the basin exceeds impermissible level, backwashing operation is executed automatically with the PLCs program aid. To implement the system, the paper used sensors for measuring the water level, XBee as a wireless communication module, microcontroller as a data acquisition before it send, and automated water valves for inlet (Iv), outlet (O¬v), drain (Dv), washing (Wv), and compressed air valve (Av) to be opened and closed according to the received signals from the PLC control module. The proposed systems should work properly to get the ideal use of filters, as well as, will be reasonable if it achieves the minimum human errors and the cost (Wei, 2016). V. RESULTS AND DISCUSSION This section describes the implementation of the proposed control system. Initially, the control design has been setup as shown in Figure 3. The PLCs has been connected to the basin valves wirelessly through a wireless communication module and microcontroller as illustrated by figure 3 (b). When the water reached impermissible level, the input signal from basin sensors received by microcontroller which checks the data before it sends to the PLC via XBee communication module as shown in figure 3 (c). Accordingly, the PLCs takes a decision and then create outputs to the filter valves in order to be opened and closed automatically as shown in figure 3 (a).
  • 4. Preparation of Papers for International Journal of Modern Engineering Research | IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 7 | Iss. 7 | August 2017 | 69 || Therefore, the control runs as it follows: When the PLCs receives a signal coming from the sensors, it determines the start of the washing process, then accomplish the following steps: first, closes the filter inlet and outlet water valve; second, opens drain valve and then opens the backwash compressed air valve for 30 second, then closes air valve and opens the backwash clean water valve for 60 second; third, closes the wash valve and the system waits for 15 second until the dirty water pass before terminates the backwashing process; forth, reverse the state of inlet, outlet and drain water valves to restart again the filtration process. The operations time of these valves collected from plant and it was arranged for to be used in the program. In this test seven timers as shown in Table (1), are set within the PLC program to control the time for each step of the filter washing process. Also five indicators are connected to the outputs of the PLC to represent the valves which are involved in the filter washing process. Table 1: Demonstrates a complete time cycle of the filter washing process. Step Valve PLC timers configuration Operation timer time 1 I.W. Valve TT1 15 seconds Closing filter inlet water valve 2 O.W. Valve TT2 15 seconds Closing of outlet clarified water valve 3 D.W Valve TT3 15 seconds Opening of drain water valve 4 A. Valve TT4 45 seconds Opening of air valve 5 C.W Valve TT5 75 seconds Opening of clean wash water valve 6 Aux Timer TTC 15 seconds To closing the washing valve 7 Reset Timer TTG 30 seconds To terminate the washing process Communication module XBee X Microcontroller connected to the filter valves LS IV OV DV AV WV Node 1 Node 2 Node n (b) Figure 3: System Model. (a) Filter Basin components (b) Communication Module (c) Control Module. Communication module XBee X (c ) (a)
  • 5. Preparation of Papers for International Journal of Modern Engineering Research | IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 7 | Iss. 7 | August 2017 | 70 || The control steps which have been implemented by PLCs can be signified by the following flowchart, figure 5. A Ladder Logic has been used for programming backwashing process so as to be functioned in the PLCs. The program output represented these processes shown in figure 4 (Schneider, 2015). Start Check Level Sensors S0, S1 IF S0=0 and S1 =1 Close inlet water valve and outlet water valve Wait for 15 second, and then close the drain valve Open inlet water valve and outlet water valve Terminate the washing process and restart filtration Open wash water valve for 75 second Open compressed air valve for 45 second Start backwashing process Open the drain water valve NO [‫اك‬ ‫تة‬ ‫اقت‬ ً‫ا‬‫تاس‬ ‫هي‬ ‫الن‬ ‫ستٌد‬ ‫أو‬ ‫هي‬ ‫هلخ‬ ‫ص‬ ‫ًقط‬ ‫ج‬ ‫هام‬ ‫ج‬. ‫يول‬ ‫ًل‬ ‫و‬ ‫ضع‬ ‫هر‬ ‫تع‬ ‫الي‬ ‫ص‬ ‫في‬ ‫أي‬ ‫هكا‬ ‫ى‬ ‫في‬ ‫الن‬ ‫ستٌد‬ . ‫اس‬ ‫تخد‬ ‫م‬ YES [‫اك‬ ‫تة‬ ‫اقتثا‬ ً‫ا‬‫س‬ ‫هي‬ ‫الن‬ ‫ستٌد‬ ‫أو‬ ‫هي‬ ‫هلخ‬ ‫ص‬ ‫ًقطح‬ ‫هاهح‬ . ‫يول‬ ‫ًل‬ ‫وض‬ ‫ع‬ ‫هرب‬ ‫ع‬ ‫الي‬ ‫ص‬ ‫في‬ ‫أي‬ ‫هكا‬ ‫ى‬ ‫في‬ ‫الن‬ ‫ستٌد‬ . ‫است‬ ‫خدم‬ Figure 5: Control Algorithm
  • 6. Preparation of Papers for International Journal of Modern Engineering Research | IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 7 | Iss. 7 | August 2017 | 71 || VI. CONCLUSION The paper addresses the problem caused by suspended particles that accumulating within the filter media. These particles reached impermissible levels that lead to one of the two destructive events. They can either cause the head loss within the filter to reach excessively high levels, or hardly pushed through the media, resulting of bad quality of treated water. Automation control has been suggests for these filters; therefore, the backwashing process for these filters accomplished automatically using level sensors installed inside the filter basin, and automated valves. The system based PLC controller that provides a platform for programing the filters valves. When the water reached impermissible level, the sensor send a signal to the controller to start the backwashing, the filter valves are opened and closed according to wireless signals coming from PLCs on in a different sequencing manner. In summary, the backwashing initiated successfully using level sensors; the filter
  • 7. Preparation of Papers for International Journal of Modern Engineering Research | IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 7 | Iss. 7 | August 2017 | 72 || valves are working properly according to PLCs wireless control signals. The obtained results capable to saving the filters, efficient to accelerate the filtration process and therefor the production will be increased with low- cost. 6.1 Further study: Due to the numbers of higher critical components used, we suggest the use of effective methods and tool to measure and evaluate the dependability for these types of system. REFERENCES [1]. Cecílio, J., & Furtado, P. “Wireless Sensors in Industrial Time-Critical Environments.” http://doi.org/10.1007/978- 3-319-02889-7. p 24-25, 2013 [2]. Chakraborty K., De P., Roy I. “Industrial Applications of Programmable Logic Controllers and.” Anchor Academic Publishing. P 14. 2016. Accessed on April 2017. http://www.worldcat.org/title/industrial-applications- of-programmable-logic-controllers-and-scada/oclc/962304082/viewport [3]. DORF, R. C. and Bishop, R. C. “Modern Control Systems.” Pearson International Edition. 11th edition. p 2. 2011. [4]. Lewalski, A. “Short Distance Telemetry for Piston Monitoring School of Engineering.” Design and Technology. 2011. Accessed on April 2016. https://bradscholars.brad.ac.uk/bitstream/handle/10454/5408/Short%20Distance%20Telemetry%20for%20Piston %20Monitoring.pdf?sequence=1 [5]. Mousavi, A. Danishvar, M and Spieser, A. “Programmable Logic Controller.” . 2016. Accessed on January 2017. www.brunel.ac.uk/.../bit/PLC%20programming%20WEEK%201.pdf. [6]. Nandgave, Amit, Harshal Deshbhratar, Saket Khandare, and Lokesh Heda. “Industrial Drives & Automation Using PLC” 3 (2): 2228–33. 2014. Accessed on March 2017. www.ijert.org/download/8350/industrial-drives-a- automation-using-plc [7]. Nkwonta, O. I., Olufayo, O. A., Ochieng, G. M., Adeyemo, J. A., & Otieno, F. A. O. “Turbidity removal: gravel and charcoal as roughing filtration media.” South African Journal of Science,106(11-12),1–5. 2010. http://doi.org/10.4102/sajs.v106i11/12.196 [8]. Osman Ali, Magdi, and Abdalrasol J. Alzubaidi. “The Use of Technology in a Water Treatment Process.” African Journal of Science, Technology, Innovation and Development 7 (5): 336–41. 2015. doi:10.1080/20421338.2015.1085158. [9]. Reddy, C. P., & Plc, C. “Programmable Wireless Sensor Network for Industrial Automation and Environmental Safety.” p 6–10. 2014. [10]. Sparkfun. “Exploring XBees and XCTU.”. 2016. Accessed on Oct. 2016. https://learn.sparkfun.com/tutorials/exploring-xbees-and-xctu. [11]. Tariku, G. “Performance Evolution of Drinking Water Treatment Plant.” Addis Ababa University. 2013. Accessed on march 2017. www.etd.aau.edu.et/bitstream/123456789/3967/3/Tariku%20Gebretsadik.pdf [12]. Wei, D., & Ji, K. “Quanyan Zhu. Cyber Security for Industrial Control Systems: From the Viewpoint of Close- Loop, p 152. 2016. [13]. Xue, F. “The Effect of Backwashing Procedures on Filter Ripening and General Effluent Quality,” p 17. 2011. Accessed on December 2016 www.citg.tudelft.nl/fileadmin/Faculteit/.../Thesis_Report_Final_-_Feng_Xue.pdf [14]. Yu, J., Qi, Y., Wang, G., & Gu, X. “A cluster-based routing protocol for wireless sensor networks with nonuniform node distribution. AEU-International Journal of Electronics and Communications, 66(1), 54-61. 2012. Accessed on January 2017. http://www.sciencedirect.com/science/article/pii/S1434841111001312 [15]. Schneider-Electronic. “Zilosoft v2,” http://www.schneider-electric.com/en/download/ [16]. Schneider-Electronic “SIEMENS – Basics of PLC-LEARN PLC,” http://WWW.PLCS.NET. Accessed on Oct. 2016. *Magdi Osman Ali " Design a WSN Control System for Filter Backwashing Process." International Journal Of Modern Engineering Research (IJMER) 7.7 (2017): 66-72.