19th International Scientific Conference Engineering for Rural Development Proceedings 2020
DOI: 10.22616/erdev.2020.19.tf512
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Using high-frequency accelerometer to detect machine tilt

Abstract: The use of full-mechanized harvesting systems is limited by terrain factors, such as very steep slopes and roughness terrain. Focusing on salvage logging conditions, forest operations are characterized by high costs and reduced productivity, as well as in terms of safety. This work aims to identify and compare the relation between the machine tilt and ground slope and the effect in different harvesters and forwarders, based on the technology and type of machine. In particular, the machines involved in this stu… Show more

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Cited by 2 publications
(2 citation statements)
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“…Accelerometer sensors can be used as well for monitoring machine tilt and its relation to terrain slope, thus monitoring the working conditions in steep terrains when working with mechanised systems and giving information to the operator when the machine is to face different terrain conditions which can lead to accidents [115]. Wheel slippage can also be monitored via incremental rotary encoders sensors as in the study by Schönauer et al [116], who detected a reduction of wheel slippage when applying winch-assisted harvesting.…”
Section: Monitoring Social Sustainability Of Forest Operationsmentioning
confidence: 99%
“…Accelerometer sensors can be used as well for monitoring machine tilt and its relation to terrain slope, thus monitoring the working conditions in steep terrains when working with mechanised systems and giving information to the operator when the machine is to face different terrain conditions which can lead to accidents [115]. Wheel slippage can also be monitored via incremental rotary encoders sensors as in the study by Schönauer et al [116], who detected a reduction of wheel slippage when applying winch-assisted harvesting.…”
Section: Monitoring Social Sustainability Of Forest Operationsmentioning
confidence: 99%
“…In recent years, GNSS has been used in time studies to automate the estimation of cycle times [ 81 ], calculate machine productivity [ 82 ], characterize machine movements [ 83 ], and improve operational monitoring [ 84 ]. Additionally, time and motion studies have been conducted using both GNSS receivers and accelerometers to monitor tree planting [ 85 ], characterize manual felling using brush cutters [ 86 ], distinguish between chipping tasks [ 87 ], and monitor tilt and motion of various harvesters and forwarders in order to analyze operating conditions [ 88 ]. The availability of high-resolution sensor data collected seamlessly from GNSS-enabled mobile and wearable devices in real-time provides an opportunity to further model forestry work activities in greater detail than has been done using traditional methods, while simultaneously providing the basis for improved characterization of digital health and safety.…”
Section: Introductionmentioning
confidence: 99%