Standard-Compliant Framework for Acceleration Safety Analysis of Amusement Rides under ISO 17842-1
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کد مقاله : 1091-ISAV2025 (R1)
نویسندگان
1دانشگاه صنعتی شریف، دانشکده مهندسی مکانیک
2دانشگاه صنعتی شریف- دانشکده مهندسی مکانیک
چکیده
This study presents a standards-compliant framework for evaluating passenger acceleration exposure on amusement rides in accordance with ISO 17842-1 [1]. Building upon the standard’s single-axis g-limit versus exposure-time diagrams, the framework introduces a threshold segmentation method that partitions acceleration time series into segments bounded by the standard’s limit levels and zero crossings. This procedure produces segments that are uniform with respect to permissible g-ranges, enabling precise alignment between measured accelerations and standard-defined exposure thresholds. Segment safety is then evaluated using the duration criteria specified in the standard for each axis and polarity (positive or negative), while instantaneous spikes—samples exceeding any admissible magnitude—are detected without interrupting segment continuity. The framework also implements the ISO combined-axis safety inequality for axis pairs (x–y, x–z, and y–z), employing an operational definition of admissible acceleration per axis derived from the threshold in which the instantaneous sample resides. The data processing workflow includes robust inertial measurement unit (IMU) data ingestion, accurate time reconstruction, and a four-pole, single-pass Butterworth low-pass filter, with optional axis sign inversion to accommodate varying mounting conventions. To facilitate practical application, an interactive Streamlit tool has been developed. The tool enables users to upload IMU datasets, visualize filtered acceleration signals, assess shaded unsafe segments, and identify spike markers. Combined unsafe points are highlighted through vertical annotations, and summary tables are automatically produced for unsafe segments, individual spikes, and combined-axis violations. An optional comprehensive segmentation table is also generated to support validation and traceability processes. The approach is validated using both synthetic datasets, specifically designed to induce known limit-crossing events and combined-axis exceedances, and real ride measurement data. Results demonstrate that the threshold segmentation provides stable and interpretable segment boundaries along with highly consistent compliance labeling. The combined-axis checker effectively identifies instances where simultaneous multi-axis exposure exceeds safety thresholds, despite individual axis compliance. The proposed framework is suitable for use in ride commissioning, diagnostic evaluation, and academic research contexts. Sensitivity factors, including filter cutoff frequency, bin-edge conventions, and sampling rates, are examined to support reproducibility and performance tuning.
کلیدواژه ها
Title
Standard-Compliant Framework for Acceleration Safety Analysis of Amusement Rides under ISO 17842-1
Authors
Soheil Hekmat
Abstract
This study presents a standards-compliant framework for evaluating passenger acceleration exposure on amusement rides in accordance with ISO 17842-1 [1]. Building upon the standard’s single-axis g-limit versus exposure-time diagrams, the framework introduces a threshold segmentation method that partitions acceleration time series into segments bounded by the standard’s limit levels and zero crossings. This procedure produces segments that are uniform with respect to permissible g-ranges, enabling precise alignment between measured accelerations and standard-defined exposure thresholds. Segment safety is then evaluated using the duration criteria specified in the standard for each axis and polarity (positive or negative), while instantaneous spikes—samples exceeding any admissible magnitude—are detected without interrupting segment continuity. The framework also implements the ISO combined-axis safety inequality for axis pairs (x–y, x–z, and y–z), employing an operational definition of admissible acceleration per axis derived from the threshold in which the instantaneous sample resides. The data processing workflow includes robust inertial measurement unit (IMU) data ingestion, accurate time reconstruction, and a four-pole, single-pass Butterworth low-pass filter, with optional axis sign inversion to accommodate varying mounting conventions. To facilitate practical application, an interactive Streamlit tool has been developed. The tool enables users to upload IMU datasets, visualize filtered acceleration signals, assess shaded unsafe segments, and identify spike markers. Combined unsafe points are highlighted through vertical annotations, and summary tables are automatically produced for unsafe segments, individual spikes, and combined-axis violations. An optional comprehensive segmentation table is also generated to support validation and traceability processes. The approach is validated using both synthetic datasets, specifically designed to induce known limit-crossing events and combined-axis exceedances, and real ride measurement data. Results demonstrate that the threshold segmentation provides stable and interpretable segment boundaries along with highly consistent compliance labeling. The combined-axis checker effectively identifies instances where simultaneous multi-axis exposure exceeds safety thresholds, despite individual axis compliance. The proposed framework is suitable for use in ride commissioning, diagnostic evaluation, and academic research contexts. Sensitivity factors, including filter cutoff frequency, bin-edge conventions, and sampling rates, are examined to support reproducibility and performance tuning.
Keywords
amusement devices, Vibrations, medical safety tolerances, IMU