Control and Automation
Current Research Activities
A Community based participatory Aquifer Management System for Equity and Sustainability in Water Resource Management
This project aims to design, development and deployment of embedded fluoride detection and support system and database generation on fluoride content in drinking water.
To develop and Install Embedded Monitoring and Control System for RO Desalination Plants
A cost effective embedded automation system for 1000 LPH RO Plants (Brackish water TDS: 2000- 5000 ppm) will be developed for monitoring and controlling of the pressure regulators, flow controllers, control valves and water quality measurement chamber.Water quality at different stages of operation will also be analysed.
Observation of appearance and physiological parameters in elderly to assess the aptness of their independent living
Objective of the international collaborative project will be to unobtrusively monitor daily living activities of elderly and subsequently determine their wellness. It will be achieved by measuring the effects of human vital signs when a person approaches non-invasive sensors, including video data, and by applying pattern analysis algorithms.
Unobtrusiveness depends on the ability of measuring the effects of human vital signs when a person, during his or her daily activity, unconsciously establishes a direct or indirect contact with sensors built in the devices and elements of the living environment (beds, chairs, household appliances, foot-ware, mobile phones, etc.). A variety of high-tech sensors are available today, such as the accelerometers, fibre-optic interferometers, capacitive electrodes, optic and thermal cameras, radar, sonar, etc. In this project, some of these sensors along with the video data is used to analyse the elderly activities.
Past Research Activities
Clean Coal Technology (Tap Coal) – Control System for Circulating Fluidized Bed (Coal Gasifier)
Developed and installed second stage channel temperature controller system for attaining and maintaining the temperature of the fluidized bed Gasifier. The input temperature at the Gasifier is around 300 °C and the desired temperature is 700 to 800 °C. The system is installed at CSIR-CMERI, Durgapur and the field trials will be after completion of first stage heat treatment system (chamber). Figure – 1. Further, we have developed and installed two channel flow control systems for controlling air flow rate for the fluidized bed. The flow range of the system is 0 to 800 slpm (0 to 48 m3/h) and 0 to 1000 slpm (0 to 60 m3/h) with a resolution of 3 m3/h. The system is tested against rota meter. The installed system is shown in Figure – 2. Finally, for coal feeding we have developed and tested a DC drive control circuit for solid material control. The drive controls a motor up to 2A load capacity. The system is tested at CSIR-CMERI, Durgapur. Figure – 3
Clean Water: Embedded multi-sensor USB based system for monitoring WQ parameters
Designed and developed real time wireless embedded multi-sensor USB based system for monitoring WQ parameters. Demonstrated and tested the developed system at NEERI Nagpur as a node for measuring WQ parameters viz. pH, DO, TDS, ORP etc. for data generation, analysis and decision support. Implementation of water quality index (WQI) for classification of water body software development is in progress. Optimization of sensor interface/selection of sensor with minimum interface for small size and low cost embedded node with battery operated system is in progress. The developed system has self-diagnostic features and ,node status facility to communicate to Base station. The Node system has sensors which monitor on line water quality parameter at a Regular time of period and sends acquired sensor data to mobile through GSM Module.
Handy VOC’s Measurement System
A handheld embedded system for multiple volatile organic compounds (VOC, s) sensing has been developed. Developed system consist of an in-situ developed highly sensitive SnO2 thin film gas sensor, highly accurate reconfigurable digital temperature control, wide range front end readout circuit based on resistance to frequency conversion scheme.
Handheld Fruit Quality Inspection System
A handheld fruit quality inspection system first prototype has been developed using aroma sensing technique. Developed system has been tested for orange samples to predict ripeness level in various classes such as unripe, ripe, overripe and rotten. Further advancement in developed instrument is in process to make it more accurate for different cultivars.
3D Vision System
Developed 3D vision system for 3D endoscope. It enables the surgeon with depth perception and stereo vision. It will have a light source and a video camera at one end. When inserted into the body through a natural opening, such as through your throat, it transmits 3D video of the inside of your body to a television screen. These real time images (or video) are then used to located and identify the defected area of the inside body in 3D. It can also be used to help perform some types of keyhole surgery (laparoscopic surgery) such as removing the appendix or gallbladder. It has a great help for the patient as it leads to painless and minimum invasive and to the surgeon as well.
Continuously assess the dynamic parameters of the structure with an optical camera
This approach, a non-invasive, is used for continuous health monitoring of bridges in real time. Non-destructive technologies using Digital Image Processing was employed to continuously assess the dynamic parameters of the structure. Algorithms were also developed and tested using the lab. Generated data at SERC Chennai and BITS Pilani.
Extraction and Damage/Defects Identification and their assessment using Image Processing and Artificial Intelligence
Algorithms have been developed for identifying the size, depth, its type and location of damage in the civil structure for their health monitoring. This approach, also a non-invasive, is based on thermal imaging and analysis. At present the algorithms have been developed and being tested using the lab. generated data.