Microcontroller Based Distributed Monitoring System for Fresh Water Fish Aquaculture

Neelamegam, P.; Kumaravel, Sharmila Devi; Raghunathan, Ravi

doi:10.1080/10739140802234964

Cited by 5 publications

(4 citation statements)

References 4 publications

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“…The controller employs a microprocessor/microcontroller [19] to realize controller algorithms such as P/PI/PID. It has an inbuilt ADC to convert the analog output of the transmitter signal into digital.…”

Section: Overview Of Closed-loop Control System With Plcmentioning

confidence: 99%

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Scan Time Reduction of PLCs by Dedicated Parallel-Execution Multiple PID Controllers Using an FPGA

Dhanabalan¹,

Selvi²,

Mahdal

2022

Sensors

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A programmable logic controller (PLC) executes a ladder diagram (LD) using input and output modules. An LD also has PID controller function blocks. It contains as many PID function blocks as the number of process parameters to be controlled. Adding more process parameters slows down PLC scan time. Process parameters are measured as analog signals. The analog input module in the PLC converts these analog signals into digital signals and forwards them to the PID controller as inputs. In this research work, a field-programmable gate array (FPGA)-based multiple PID controller is proposed to retain PLC scan time at a lower value. Concurrent execution of multiple PID controllers was assured by assigning separate FPGA hardware resources for every PID controller. Digital input to the PID controller is routed by the novel idea of analog to digital conversion (ADC), performed using a digital to analog converter (DAC), comparator, and FPGA. ADC combined with dedicated PID controller logic in an FPGA for every closed-loop control system confirms concurrent execution of multiple PID controllers. The time required to execute two closed-loop controls was identified as 18.96000004 ms. This design can be used either with or without a PLC.

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Section: Overview Of Closed-loop Control System With Plcmentioning

confidence: 99%

“…Table 1 in [19] shows the control module's execution times of temperature control, lighting control, and oxygen control, which are 31.195 ms, 31.035 ms, and 31.006 ms, respectively. Hence, the execution time of a single controller is identified as 124.171 ms.…”

Section: Performance Comparison Of the Proposed Design With Plcmentioning

confidence: 99%

Scan Time Reduction of PLCs by Dedicated Parallel-Execution Multiple PID Controllers Using an FPGA

Dhanabalan¹,

Selvi²,

Mahdal

2022

Sensors

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“…The proposed design is based on an ATmega8535 microcontroller platform that enables the control of various environmental parameters under optimum conditions. The presented design is a compact, fast, flexible, distributed, and cost-effective solution for the control of required parameters, such as temperature, lighting, dissolved oxygen, and pH values [26]. Another research presents the design and development of a resonant sensor for low range (0-10 grams) mass measurement.…”

Section: Microcontroller and Electro-optic Techniquementioning

confidence: 99%

Evolution of Microcontroller-based Remote Monitoring System Applications

Salah

Zneid

2019

IJECE

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<p>This study reviews the evolution of smart applications of microcontroller-based wireless/wired remote monitoring systems. Rapid developments in science and technology offer the advantages of using integrated embedded chips, microprocessors, and microcontrollers. The use of microcontrollers in industrial processes, such as automobiles, aeronautics, space, robotics, electronics, defense applications, mobile communications, rail transport, and medical applications, is rapidly increasing. This study aims to review the progress of microcomputers in smart remote monitoring and controlling applications for the control and management of different systems using wireless/wired techniques</p>

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“…The master node acts as co-ordinate node, which is able to send commands to sensor nodes and receive the data from the same. The sensor nodes are connected with master node using I 2 C bus and function as slave nodes [7,8] . The proposed system is able to handle four blood samples concurrently instead of one sample.…”

Section: Design Of Parallel Glucose Analysermentioning

confidence: 99%

Experimental Implementation of Embarrasingly Parallel Process in Analysis of Blood Glucose Concentration Using Atmega32 Microcontrollers

Kumaravel¹,

Neelamegam²

2013

IJESA

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This paper explains the development of a embedded based parallel system to measure glucose concentration of the blood samples. The developed instrument works on the principle of absorbance transmittance photometry usi ng ATmega32 microcontrollers. In order to handle more blood samples and reduce the response time of glucose analyzing process in large number of blood samples, the embarrassing parallel measurement operation is implemented. The proposed system architecture and the co-design of hardware and software are discussed in detail.The system is evaluated using the parameters of Speedup Factor, Efficiency and Throughput are studied. The result shows that system attained the linear speedup in measurement of blood samples.

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Microcontroller Based Distributed Monitoring System for Fresh Water Fish Aquaculture

Cited by 5 publications

References 4 publications

Scan Time Reduction of PLCs by Dedicated Parallel-Execution Multiple PID Controllers Using an FPGA

Scan Time Reduction of PLCs by Dedicated Parallel-Execution Multiple PID Controllers Using an FPGA

Evolution of Microcontroller-based Remote Monitoring System Applications

Experimental Implementation of Embarrasingly Parallel Process in Analysis of Blood Glucose Concentration Using Atmega32 Microcontrollers

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