Method for recognizing load of single vehicle passing through multi-girder type bridge
An identification method and vehicle load technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of high WIM installation cost and maintenance cost, hardware damage of the WIM system, and vehicle load identification errors, etc. The process is simple and easy to implement, the monitoring simulation data is accurate, and the effect of ensuring the recognition accuracy
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Embodiment 1
[0034] A vehicle load identification method for a single vehicle passing through a multi-beam bridge, the specific steps are as follows:
[0035] 1). Carry out traffic load investigation, and use cameras to record the types of vehicles passing through the road sections in the surveyed area. Vehicles can be divided into 5 categories and 12 subcategories according to vehicle models. Combine the vehicle models of the collected data with the vehicle weight, The number of axles, wheelbase, and axle load parameters are used to classify traffic loads in the area and summarize them;
[0036] 2). Place a dynamic deflection meter at the bottom of each girder span of the identified bridge, use the device to collect the dynamic response information of the bridge mid-span when the vehicle passes the bridge, obtain the dynamic deflection curve, and then use the wavelet transform noise reduction method to remove the factors in the curve The dynamic response information caused by the impact a...
Embodiment 2
[0043] 1. Acquisition and analysis of measured traffic load information:
[0044] In the area where the vehicle load identification is to be carried out, the traffic survey is first carried out, that is, the actual traffic load information collection and analysis are carried out. Use the camera to record the vehicle type and the lateral position of different models by investigating the type of vehicle and the lateral position of the vehicle. By consulting the relevant model manuals and national automobile standards, the parameters such as axle load and wheelbase of various models are obtained, and then according to the traffic data measured in the area to be identified, representative models are selected to classify and summarize the vehicle loads in the area to be identified to obtain the vehicle type classification The table is shown in Table 1:
[0045] Table 1 Model Classification Table
[0046]
[0047]
[0048] 2. Vehicle lateral position recognition analysis:
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