Pavement disease rapid inspection method based on mechanical indexes and artificial neural network
An artificial neural network and disease technology, applied in neural learning methods, biological neural network models, neural architectures, etc., can solve problems such as difficulty in ensuring detection efficiency, affecting normal use of roads, and lack of consistent judgment standards, so as to avoid battery life Problems, suitable for daily inspections, avoiding cumbersome procedures and the effect of inaccurate problems
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[0032] Specific examples of the present invention are given below. The specific embodiments are only used to further describe the present invention in detail, and do not limit the protection scope of the present application.
[0033] The present invention is based on a mechanical index and an artificial neural network rapid inspection method for pavement diseases, comprising the following steps:
[0034] Step 1: Data collection.
[0035] (1) Hardware introduction
[0036] The hardware of the rapid inspection method for pavement defects based on mechanical indexes and artificial neural network includes an acceleration information acquisition module (3), a high-precision GPS positioning module (2), an image acquisition module (4), and a signal transmission module (1).
[0037] The acceleration information collection module adopts a non-contact acceleration sensor, the non-contact acceleration sensor is connected with the signal transmission module 1 through a data transmission...
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