DEVELOPMENT OF SENSOR-BASED SAFETY ALARM SYSTEM FOR INJURY PREVENTION IN FODDER CUTTER MACHINE

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Date
2018
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DIVISION OF AGRICULTURAL ENGINEERING ICAR–INDIAN AGRICULTURAL RESEARCH INSTITUTE NEW DELH
Abstract
Agricultural activities are considered as one of the most hazardous occupation. It is having high risk of fatal and non-fatal injuries contributing factor. Increased farm mechanization is one of the contributing factors to occupational health hazards among farm workers. This adversely impact the productivity of farm workers, health, safety and their economic status. Chaff cutter is used to chop the fodder by farmers to make the fodder more palatable, to help in curing fodder, for storage and to reduce spoiling in fodder storage. Hand injury are associated with this machine. With the objective of providing forewarn signal to the worker in dangerous working (injury prone area) zone of chaff cutter feeding chute, a micro controller-based alarming system was developed. Passive infrared (PIR) sensor was used as a motion detection element sensing infrared radiation emitted by the human body. The system was designed to give sound an alarm as the hand motion is detected in danger zone. The performance characteristics of PIR sensor were studied under varying conditions of distance, hand orientation and ambient conditions for different subjects. The effects of distance between sensor and human hand (5, 8, 12.5, 17 and 20cm), hand orientation (pronation, supination, and fodder holding position), room temperature and/or fodder temperature (18, 20, 24, 27.5 and 30°C) for five subjects of different age groups were studied. The regression equations for sensor response to different hand orientations as functions of distance, age and room or fodder temperature were obtained using Response Surface Methodology. The optimum distance for mounting system on feeding chute was obtained as 12.5 cm ahead of identified dangerous area. hand orientations pronation and supination, the sensor gave high response under different temperature conditions followed by holding position. The optimum working temperature for best usage of sensor system was in the range of 24 to 27°C. The worker response to audible frequencies was also studied with speed of hand movement. Key words: PIR sensor, pronation, supination, Response surface methodology.
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T-10015
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