Municipal road detection system

The invention discloses a municipal road detection system which clearly shows the position and shape of a depression through a road three-dimensional diagram, obtains the coordinates of the edge of the depression and the coordinates of the bottom end of the depression, and calculates the weak stress...

Ausführliche Beschreibung

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Bibliographische Detailangaben
1. Verfasser:	JIANG XIANMIN
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING COMPUTING CONSTRUCTION OF ROADS, RAILWAYS, OR BRIDGES CONSTRUCTION OF, OR SURFACES FOR, ROADS, SPORTS GROUNDS, ORTHE LIKE COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING FIXED CONSTRUCTIONS IMAGE DATA PROCESSING OR GENERATION, IN GENERAL MACHINES OR AUXILIARY TOOLS FOR CONSTRUCTION OR REPAIR PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:	The invention discloses a municipal road detection system which clearly shows the position and shape of a depression through a road three-dimensional diagram, obtains the coordinates of the edge of the depression and the coordinates of the bottom end of the depression, and calculates the weak stress point of the surface of the depression through a first nailing point positioning algorithm. Corresponding nailing information is obtained from a road depression database through matching, a corresponding crack form data set is obtained from a crack form database through matching, corresponding road quality information is obtained from the crack form data set after depression images nailed according to the nailing information are obtained, and the road quality information reflects the compressive strength of concrete. The road quality information is measured by a historical actual road compression test, and the data obtained by matching is close to the actual road compression data, so that the firmness degree and t