Airport pavement structure health state intelligent monitoring device and evaluation method
A technology for health status and intelligent monitoring, applied in measurement devices, complex mathematical operations, instruments, etc., can solve the problems of complex layout, inability to efficiently obtain the dynamic response of the pavement structure, and easily damaged lines, and achieve the effect of simple layout.
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Embodiment 1
[0076] In this embodiment, the data processing device 1 can have a built-in Kalman filter algorithm and other algorithm structures, and perform a process on parameters such as force and motion obtained by the three-axis gyroscope 2, the three-axis accelerometer 3, the three-axis magnetometer 4, and the strain gauge 7. Noise reduction processing.
[0077] The three-axis gyroscope 2, the three-axis accelerometer 3, and the three-axis magnetometer 4 are respectively used to obtain the change information of the sensor device's rotation angle, acceleration and direction in different directions of x, y, and z under the action of load and environmental factors. Obtain the motion response inside the pavement structure. Since this type of sensor does not need to sense external force information, it is placed in the high-strength frame 9, thereby better protecting the sensing device from negative effects of external loads and environmental factors. Strain gauges and temperature sensors...
Embodiment 2
[0082] A kind of multi-function pavement health status intelligent monitoring system of the present embodiment is further improved on the basis of embodiment 1, and the data processing device 1 adopts the pavement structure parameter information received by the following calculation model processor:
[0083]
[0084]
[0085] Among them, D f is the fatigue cracking index of pavement structure, D r is the rutting damage index of pavement structure, ε t is the longitudinal tensile strain at the bottom of the asphalt layer, E is the modulus of the structural layer to be tested, RD is the estimated rutting depth of the structural layer to be measured, ε z is the vertical strain of the structure layer to be measured, k is the depth influence factor, h' is the thickness of the structure layer to be measured, T is the temperature of the structure layer measured by the sensor, θ is the rotation angle of the sensor device along the x, y, and z directions average value.
[0086...
Embodiment 3
[0093] A multifunctional pavement performance monitoring system in this embodiment is further improved on the basis of Embodiment 2, and the mechanical and motion information obtained by a limited number of sensing devices is substituted into the CEM pavement structural performance prediction model proposed by the present invention. , to predict the structural performance of any other point of the pavement structure, the specific algorithm is as follows:
[0094] CEM assumes that the movement or force situation ψ(x,y,z) of any point in the pavement structure can be obtained by a limited number of sensing devices and its random error R(x,y,z) To express, that is: ψ(x,y,z)=c(x,y,z)+R(x,y,z)
[0095] The CEM method adopts a weighted estimation method and its purpose: According to the force and motion obtained by n limited and limited number of sensing devices [(x 1 ,y 1 ,z 1 ),(x 2 ,y 2 ,z 2 ),...,(x n ,y n ,z n )] to estimate any unknown point in the macro pavement stru...
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