A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Intelligent sidewalk flatness detection method based on multi-source data fusion analysis
The invention discloses a sidewalk flatness intelligent detection method based on multi-source data fusion analysis. The sidewalk flatness intelligent detection method comprises the steps of data acquisition, data analysis, image analysis, classified and layered point spreading on a map by using a GIS (Geographic Information System) for 9 kinds of obtained abnormal points of common uneven types of sidewalks, and overall flatness evaluation. A laser sensor is used for collecting the data of the height from the ground of each detection point of a sidewalk road section, the standard deviation sigma of the vertical displacement values of all the detection points of the sidewalk road section is calculated, the IRI index is further calculated according to the relational expression, and finally the FQI index of the sidewalk road section is calculated through the relational expression. And overall grading evaluation is carried out on the flatness of the sidewalk road section.
本发明公开了一种基于多源数据融合分析的人行道平整度智能检测方法，包括数据采集、数据分析、图像分析、使用GIS对于得到的9种人行道常见不平整类型的异常点在地图上进行分类分层展点、平整度整体评估。使用激光传感器采集某人行道路段各个检测点的距地高度数据，求算出该人行道路段所有检测点竖向位移值的标准差σ，进一步根据关系式求解出IRI指标，最终利用关系式求出该人行道路段的FQI指数，对人行道路段的平整度进行整体分级评估。
Intelligent sidewalk flatness detection method based on multi-source data fusion analysis
The invention discloses a sidewalk flatness intelligent detection method based on multi-source data fusion analysis. The sidewalk flatness intelligent detection method comprises the steps of data acquisition, data analysis, image analysis, classified and layered point spreading on a map by using a GIS (Geographic Information System) for 9 kinds of obtained abnormal points of common uneven types of sidewalks, and overall flatness evaluation. A laser sensor is used for collecting the data of the height from the ground of each detection point of a sidewalk road section, the standard deviation sigma of the vertical displacement values of all the detection points of the sidewalk road section is calculated, the IRI index is further calculated according to the relational expression, and finally the FQI index of the sidewalk road section is calculated through the relational expression. And overall grading evaluation is carried out on the flatness of the sidewalk road section.
本发明公开了一种基于多源数据融合分析的人行道平整度智能检测方法，包括数据采集、数据分析、图像分析、使用GIS对于得到的9种人行道常见不平整类型的异常点在地图上进行分类分层展点、平整度整体评估。使用激光传感器采集某人行道路段各个检测点的距地高度数据，求算出该人行道路段所有检测点竖向位移值的标准差σ，进一步根据关系式求解出IRI指标，最终利用关系式求出该人行道路段的FQI指数，对人行道路段的平整度进行整体分级评估。
Intelligent sidewalk flatness detection method based on multi-source data fusion analysis
一种基于多源数据融合分析的人行道平整度智能检测方法
XUE RUIJIA (author) / LAI JIANHUI (author) / XIONG WEN (author) / SHANG WENLONG (author) / LIU DI (author)
2024-12-03
Patent
Electronic Resource
Chinese
IPC:
G06F
ELECTRIC DIGITAL DATA PROCESSING
,
Elektrische digitale Datenverarbeitung
/
E01C
Bau von Straßen, Sportplätzen oder dgl., Decken dafür
,
CONSTRUCTION OF, OR SURFACES FOR, ROADS, SPORTS GROUNDS, OR THE LIKE
/
G06N
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
,
Rechnersysteme, basierend auf spezifischen Rechenmodellen
/
G06V
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