Sumalatha Akunuri
@siddhartha.ac.in
Assistant Professor, Department of Electronics and Instrumentation Engineering
Velagapudi Ramakrishna Siddhartha Engineering College
RESEARCH INTERESTS
Industrial Instrumentation and Process Control, System Identification and modeling, Process Modeling and Simulation
Scopus Publications
Scopus Publications
A. Sumalatha, K Sudha Rani, and Ch. Jayalakshmi
Elsevier BV
M Venkata Sai Prasad, A Sumalatha, K Sudha Rani, M Nicy, Ch Meenakshi, and D Charan Babu
IEEE
India’s agricultural economy depends heavily on the chicken sector, which has expanded tremendously because of improved farming methods. Maintaining the pace of the current world requires the adoption of automation and IoT technologies by almost all farming sectors. This work aims to automate poultry form management systems using IoT technology. The health of chicken can be affected by various important environmental factors that includes temperature, humidity, light intensity, percentage of ammonia gas, etc. Furthermore, manual tasks like feeding, timely provision of water, and floor maintenance are to be mechanized. The device continuously monitors the chick’s growth and development and initiates timely alerts to the owner and facilitates remote monitoring and control of the farm. The quality, quantity/number and the health of the chicken can be improved by maintaining optimal conditions. A mobile app and a website are used to provide continuous monitoring through information acquired from the farm and can also provide historical data for future use.
P Vijaya Lakshmi, A Sumalatha, K Sudha Rani, K Sai Aasritha, K Kalyan, and O Chandra Sekhar
IEEE
Due to the high rate of accidents and deaths that take place in the fishing industry every year, fishing is often considered to be one of the most hazardous lines of work in the whole globe. Creating a continuous tracking and monitoring system for fishing boats that operate in real-time is one of such method that is be used to increase the overall level of safety for fishermen. This article provides an overview of proposed concept of an Internet of Things (IoT) based tracking system that would be used for fishing boats. A micro controller unit, a GPS module and a GSM module are mounted aboard the fishing boat as a part of the system. The GSM module is used to create a connection between the boat and land, and the GPS module is to monitor the exact location of the boat in real-time. Together, these modules make it possible to communicate with boats via remote wireless communication. In addition to the continuous tracking the boat safety parameters viz smoke and rain are tracked continuously and the data is sent to the monitoring system via cloud as presented in results. The strategy that enables the use of mobile and web based monitoring offers a number of advantages, some of which include an improved sense of safety among fishermen, a decreased amount of reaction time from emergency services, and enhanced command and management of fishing activities. Technology may aid in the prevention of accidents and improve the speed with which they can be responded to in the event of an emergency by monitoring fishing boats continuously. Because of this, the system is in a position to prevent accidents. Additionally, by providing comprehensive information on the location and condition of fishing vessels, technology may help fishing companies and regulators to better manage fishing activities. We have reason to believe that an Internet of Things-based system for tracking fishing boats has the potential to significantly improve both the safety of fishermen and the efficiency of fishing operations. The system has to be further developed and tested in order to increase its overall effectiveness and performance.
K. Siva Prasad, A. Sumalatha, J.V.K.S. Chandra Rao, and V.V. Vara Prasad
IEEE
Shrimp farming is one of the most significant aquaculture activities in India, vannamei shrimp is a type of shrimp that is widely cultivated in India. However, there are a number of issues contributing to the failure of vannamei shrimp production, including poor water quality, improper feeding during the maintenance period, particularly in open ponds. Feeding is the primary factor determining efficiency and cost in aquaculture, so knowing quantity and frequency of feeding is critical for maximizing feed conversion ratio and production efficiency. In this context an integrated system for overall monitoring of aquaculture and feed management is proposed in this paper. The long-term sustainability of shrimp production can be achieved by monitoring water quality, managing feed appropriately, and managing the cultivation environment, according to a survey of farmers in various regions about their farming practices. In order to solve these issues, this study suggests a compact design of automatic integrated feeding system comprising feeder, sensors, aerator, check nets etc. The proposed system provides both in situ and remote monitoring of crucial water quality parameters such as pH, temperature, and turbidity. A customized mobile app is integrated to monitor water quality and manage the feed remotely according to the requirements of the pond and the choice of the user.
A Roshini Gayatri, P Geethika, B Devika, Anil B Taraka Sai, and A Sumalatha
IOP Publishing
Abstract Researchers have found through different tests, that all kinds of harmful substances are present in case of an indoor environment, such as heavy metals, pesticides - these come from household products, toys, carbon dioxide, humidity, etc. People are regularly exposed to these harmful substances through breathing and skin contact. This long-term exposure can affect people’s health very seriously. To achieve a good quality environment indoors, a portable device is proposed here. Through, the development of this device we can monitor indoor air quality, control the indoor air quality and also clean the floor. Monitoring is done by sensors; controlling is performed by a mini air purifier which is attached to a floor cleaner. Whenever the parameters which are received from the sensors are more than the permittable limit then the air purifier starts its operation and stops when the parameters are within the permittable limit, by this process we can reduce the power consumption of the device. The whole device is driven by a battery that can be rechargeable.
Sumalatha A, A Bhujanga Rao, and Kandru Sudha Rani
IEEE
An increasing dissemination of renewable energy is posing significant challenges to a power system due to characteristic sporadicity. Obtaining the rapid grid balance through the management of power output by conventional power plant is of highest priority to make renewable energy sustainable. These rapid changes in power demand cause severe changes especially in the operation of steam boiler in thermal power generation. This paper presents design of boiler level control schemes to improve control performance through system identification techniques. Different operating conditions are considered to improve the performance of the control system. Different controller tuning methods are simulated to check the performance of different controller modes with different estimated models. The data driven modeling and design of model based control is found to be a suitable solution to assimilate more advanced control schemes.
A. Sumalatatha and A. Bhujanga Rao
IEEE
Modeling of various components of power plants is gaining significant importance in design, verification of controllers for the purpose of training and analysis. Design of robust control systems is needed in order to meet the needs of rapid load changes in thermal power plants. The control loops associated with steam- water line gains much importance in this context. Plant operational data is used to construct deaerator model using system identification toolbox in MATLAB. This paper presents the dynamic modeling of deaerator unit used in a thermal power plant.
A Sumalatha and A Bhujanga Rao
IEEE
This paper describes the application of traditional closed loop system identification techniques and development of dynamic model of a laboratory scale level process. Present work is concerned with the identification of parametric model from real time closed loop experimental data. In this paper the main emphasis is given on the effect of different disturbances and the resultant data sets on model estimation using LabVIEW system Identification toolkit. Comparison of coefficients obtained from different models and effect of multiple datasets on estimation is discussed.
A Sumalatha and A Bhujanga Rao
IEEE
Mathematical modeling is essentially required for understanding the dynamics of a process. Process Identification is a technique used for deriving the mathematical model of a process. There are numerous identification methods, which can be classified as two categories viz. on-line methods and off-line methods. In this paper various model identification techniques have been applied for modeling a liquid system. An experiment is conducted on laboratory setup and by using this experimental data, process transfer function is determined and the results were discussed for drawing conclusions.