New non-invasive fully automated system identifying and classifying vehicles and measuring each vehicle's weight, dimension, visual characteristics, acoustic pattern and noise in real-time without interfering with the traffic
AssigneeSTL Scientific LLC
InventorShervin Taghavi Larigani
Life of this patent
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Abstract
A vehicle monitoring system for determining one or more identifying characteristics of one or more vehicles traversing a bridge, including a plurality of sensor devices capturing electromagnetic signal or acoustic signals transmitted from a bridge and/or one or more vehicles traversing the bridge; and a computer system determining, from the signals, the one or more identifying characteristics comprising a weight distribution of one or more of the vehicles.
Claims21
A vehicle monitoring system for determining one or more identifying characteristics of one or more vehicles traversing a bridge, comprising:
- a plurality of sensor devices positioned for electromagnetic signals or acoustic signals transmitted from a bridge and/or one or more vehicles comprising point traversing the bridge;
- and
- a computer system configured for:
- determining, from the signals:
- a displacement of the bridge in response to one or more of the point loads traversing the bridge as a function of time;
- and
- one or more locations of the one or more point loads traversing the bridge as a function of time;
- obtaining a model for the displacement as a function of a weight distribution of the point loads, wherein the model models the displacement as a superposition of responses caused by each of the one or more point loads at the locations;
- and
- solving the model for the weight distribution as an inverse problem using the displacement and the locations obtained from the signals.
-9. (canceled)
A computer implemented method, comprising in a computer system:
- receiving signals associated with measurements of:
- a displacement of a bridge as a function of time in response to a vehicle traversing the bridge;
- and
- locations of point loads on the vehicle;
- obtaining a model for the displacement as a function of a weight distribution of the point loads, wherein the model models the displacement as a superposition of responses caused by each of the one or more point loads at the locations;
- and
- solving the model for the weight distribution as an inverse problem using the displacement and the locations obtained from the signals.
Dependencies are inferred from the claim text.