Road maintenance operation dynamic information acquisition and sharing method

Abstract

The invention provides a road maintenance operation dynamic information acquisition and sharing method, and relates to the technical field of road maintenance. Comprising the following steps: arranging a wireless ground penetrating radar in a road maintenance operation area, and obtaining pavement structure information according to a reflected signal of the wireless ground penetrating radar; performing optical fiber sensing on a pavement material by using a phase-sensitive optical time domain reflectometer to obtain pavement state information; respectively preprocessing the pavement structure information and the pavement state information to obtain first preprocessing data and second preprocessing data; inputting the first pre-processed data and the second pre-processed data into an integration model for integration to obtain a road surface monitoring result; and inputting the road surface monitoring result into a sharing platform and realizing data sharing by using the sharing platform. The problem of low road information acquisition precision in the prior art is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of highway maintenance, and particularly to a method for collecting and sharing dynamic information of highway maintenance operations. Background Art

[0002] The Beijing Highway Development Center undertakes important tasks such as highway maintenance management and public travel information services in Beijing, and mainly releases highway travel service information through variable message signs. As of now, a total of 897 variable message signs have been built in the city's road network, with a coverage density of 11 sets per 100 kilometers. To expand the channels for releasing authoritative road condition information by the government, since 2016, it has maintained cooperation with mainstream navigation map companies, established a road condition information sharing mechanism, and has a certain research foundation in the sharing and release of highway travel information. However, the following deficiencies still exist in actual work:

[0003] (1) The timeliness, accuracy, and coverage of relying on manual release of maintenance operation information are insufficient;

[0004] (2) The existing Internet of Things acquisition devices are single, with high costs, and the accuracy and functions of the acquisition devices are insufficient;

[0005] (3) The channels and means for information release are still insufficient, mainly reflected in: insufficient linkage between expressways and ordinary roads, insufficient sharing between the government and navigation map companies, insufficient sharing among navigation maps, and insufficient linkage between navigation maps and variable message signs. Summary of the Invention

[0006] In order to overcome the deficiencies of the prior art, the purpose of the present invention is to provide a method for collecting and sharing dynamic information of highway maintenance operations.

[0007] To achieve the above purpose, the present invention provides the following solutions:

[0008] A method for collecting and sharing dynamic information of highway maintenance operations includes:

[0009] Deploying a wireless ground penetrating radar in the highway maintenance operation area and obtaining road surface structure information based on the reflection signal of the wireless ground penetrating radar;

[0010] Performing fiber optic sensing of road surface materials using a phase-sensitive optical time domain reflectometer to obtain road surface state information;

[0011] Preprocessing the road surface structure information and the road surface state information respectively to obtain first preprocessed data and second preprocessed data;

[0012] Inputting the first preprocessed data and the second preprocessed data into an integration model for integration to obtain a road surface monitoring result;

[0013] Input the road surface monitoring results into the shared platform and use the shared platform to achieve data sharing.

[0014] Preferably, obtaining the road surface structure information according to the reflection signals of the wireless ground penetrating radar includes:

[0015] Use the wireless ground penetrating radar for high-frequency continuous acquisition to obtain multi-channel echo data;

[0016] Use a convolutional neural network to extract features from the multi-channel echo data to obtain key feature data, where the key feature data includes: surface reflection amplitude, subsurface reflection amplitude, signal delay, environmental impact factor;

[0017] Obtain the road surface segregation index according to the key feature data;

[0018] Determine the road surface structure information according to the road surface segregation index.

[0019] Preferably, the calculation expression of the road surface segregation index is:

[0020] A = b * c * t + d;

[0021] Wherein, A is the road surface segregation index, b is the surface reflection amplitude, c is the subsurface reflection amplitude, t is the signal delay, and d is the environmental impact factor.

[0022] Preferably, preprocessing the road surface structure information and the road surface state information respectively to obtain first preprocessed data and second preprocessed data includes:

[0023] Use a low-pass filter to remove high-frequency noise signals in the road surface structure information to obtain a denoised signal;

[0024] Perform normalization processing on the denoised signal to obtain a normalized signal;

[0025] Apply the wavelet transform method to extract the key information of the normalized signal, and perform road surface hierarchical structure and defect feature analysis to obtain the first preprocessed data.

[0026] Preferably, preprocessing the road surface structure information and the road surface state information respectively to obtain first preprocessed data and second preprocessed data further includes:

[0027] Use the IQR violation detection method to remove abnormal readings in the road surface state information to obtain outlier-removed data;

[0028] Use the moving average method to smooth the outlier-removed data to obtain smoothed data;

[0029] Calculate the state index for the smoothed data to obtain the second preprocessed data.

[0030] Preferably, the calculation expression of the second preprocessed data is:

[0031] E = w1 * s1 + w2 * s2 + w3 * s3;

[0032] where E is the second preprocessed data, w1 - w3 are the corresponding weights respectively, s1 is the stress factor, s2 is the humidity factor, and s3 is the temperature factor.

[0033] Preferably, the construction method of the sharing platform is

[0034] Construct a blockchain unit and use the blockchain unit to store the road surface monitoring results;

[0035] Construct an external connection unit and use the external connection unit to navigate map enterprises and variable message signs through the API interface for real-time sharing;

[0036] Construct a feedback unit and use the feedback unit to obtain the feedback data of users and debug the parameters of the integration model according to the feedback data;

[0037] Construct the sharing platform through the blockchain unit, the external connection unit and the feedback unit.

[0038] The present invention discloses the following technical effects:

[0039] The present invention provides a method for collecting and sharing dynamic information of highway maintenance operations, including: arranging a wireless ground penetrating radar in the highway maintenance operation area and obtaining road surface structure information according to the reflection signal of the wireless ground penetrating radar; performing fiber optic sensing of road surface materials by using a phase-sensitive optical time domain reflectometer to obtain road surface state information; respectively preprocessing the road surface structure information and the road surface state information to obtain first preprocessed data and second preprocessed data; inputting the first preprocessed data and the second preprocessed data into an integration model for integration to obtain a road surface monitoring result; inputting the road surface monitoring result into a sharing platform and using the sharing platform to realize data sharing. By combining the wireless ground penetrating radar and fiber optic sensing, the present invention can not only obtain road surface structure information but also monitor the road surface state in real time. This multi-dimensional data collection method can more comprehensively reflect the health status of the road surface and can share the data in a timely manner through the constructed sharing platform. Description of the Drawings

[0040] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required to be used in the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0041] Figure 1 This is a flowchart of a method for collecting and sharing dynamic information of highway maintenance operations provided by an embodiment of the present invention. Detailed implementation manners

[0042] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0043] To make the above objects, features, and advantages of the present invention more obvious and understandable, the present invention will be further described in detail below in conjunction with the drawings and specific implementation manners.

[0044] As Figure 1 shown, the present invention provides a method for collecting and sharing dynamic information of highway maintenance operations, including:

[0045] Step 100: Deploy a wireless ground penetrating radar in the highway maintenance operation area and obtain road surface structure information based on the reflection signal of the wireless ground penetrating radar;

[0046] Step 200: Use a phase-sensitive optical time domain reflectometer for fiber optic sensing of road surface materials to obtain road surface state information;

[0047] Step 300: Preprocess the road surface structure information and the road surface state information respectively to obtain first preprocessed data and second preprocessed data;

[0048] Step 400: Input the first preprocessed data and the second preprocessed data into an integration model for integration to obtain a road surface monitoring result;

[0049] Step 500: Input the road surface monitoring result into a sharing platform and use the sharing platform to realize data sharing.

[0050] Furthermore, obtaining road surface structure information based on the reflection signal of the wireless ground penetrating radar includes:

[0051] Use a wireless ground penetrating radar for high-frequency continuous acquisition to obtain multiple-channel echo data;

[0052] Specifically, usually use a ground penetrating radar to continuously detect the highway road surface to be detected to obtain ground penetrating radar echo data; the parameters of the ground penetrating radar are determined by the radar system and are not limited here. For example, use a time domain ground penetrating radar with a center frequency of 2G, a bandwidth of 2G, and a sampling rate of 52.4 GHz to detect a certain section of highway road surface, and obtain 2000 effective data.

[0053] Use a convolutional neural network to extract features from the multi-channel echo data to obtain key feature data, where the key feature data includes: surface reflection amplitude, subsurface reflection amplitude, signal delay, and environmental impact factor;

[0054] Obtain the pavement segregation index based on the key feature data;

[0055] Determine the pavement structure information according to the pavement segregation index.

[0056] Further, the calculation expression of the pavement segregation index is:

[0057] A = b * c * t + d;

[0058] Where, A is the pavement segregation index, b is the surface reflection amplitude, c is the subsurface reflection amplitude, t is the signal delay, and d is the environmental impact factor.

[0059] Specifically, according to the calculated pavement segregation index A, analyze through a preset standard or threshold to determine the pavement structure information. It can be judged from the following aspects:

[0060] Range of the segregation index (such as normal, warning, severe segregation):

[0061] Normal: A < 1.5

[0062] Warning: 1.5 ≤ A < 3.0

[0063] Severe segregation: A ≥ 3.0.

[0064] Judge the pavement structure according to different ranges of the pavement segregation index, for example:

[0065] Good: The structure is firm and there are no obvious defects

[0066] Minor defects: There are small cracks or spalling on the surface

[0067] Severe defects: Significant segregation, requiring immediate repair.

[0068] Further, preprocess the pavement structure information and the pavement state information respectively to obtain first preprocessed data and second preprocessed data, including:

[0069] Use a low-pass filter to remove high-frequency noise signals in the pavement structure information to obtain a denoised signal;

[0070] Perform normalization processing on the denoised signal to obtain a normalized signal;

[0071] Specifically, according to the historical data distribution of the samples, a dynamic threshold is introduced. During the normalization process, not only the range of the current data is considered, but also the statistical characteristics of the historical data are incorporated to improve the stability of the normalized data.

[0072] Apply the wavelet transform method to extract the key information of the normalized signal, and perform pavement hierarchical structure and defect feature analysis to obtain the first preprocessed data.

[0073] Furthermore, the preprocessing of the pavement structure information and the pavement state information respectively to obtain the first preprocessed data and the second preprocessed data further includes:

[0074] Use the IQR violation detection method to remove the abnormal readings of the pavement state information to obtain the outlier-removed data;

[0075] Specifically, use the interquartile range (IQR) method to detect and remove outliers.

[0076] Use the moving average method to smooth the outlier-removed data to obtain the smoothed data;

[0077] Calculate the state indicators for the smoothed data to obtain the second preprocessed data.

[0078] Furthermore, the calculation expression of the second preprocessed data is:

[0079] E = w1 * s1 + w2 * s2 + w3 * s3;

[0080] Where E is the second preprocessed data, w1 - w3 are the corresponding weights, s1 is the stress factor, s2 is the humidity factor, and s3 is the temperature factor.

[0081] Specifically, dynamically adjust the weights according to the importance of different factors to the pavement state, so that the calculation of the state indicators can reflect the complexity of the actual situation and improve the accuracy and precision of the evaluation.

[0082] Furthermore, the construction method of the sharing platform is

[0083] Construct a blockchain unit and use the blockchain unit to store the pavement monitoring results;

[0084] Construct an external connection unit and use the external connection unit to perform real-time sharing through the API interface to navigation map enterprises and variable message signs;

[0085] Construct a feedback unit and use the feedback unit to obtain the feedback data of the user and debug the parameters of the integration model according to the feedback data;

[0086] Construct the sharing platform through the blockchain unit, the external connection unit and the feedback unit.

[0087] Specifically, design the API: Design RESTful API interfaces for the blockchain unit and other external systems (such as navigation map enterprises and variable message signs), including: Data acquisition interface: Allow users and applications to access road surface monitoring results; Data publishing interface: Support partners to upload new monitoring data to the blockchain. Ensure that the external unit can be seamlessly integrated with the Geographic Information System (GIS) and the intelligent transportation control center, so that the road surface status information can be updated to the map in real time; Realize real-time sharing of data, including road surface status, construction information, and traffic conditions, to ensure that users, drivers, and traffic managers can all obtain the latest information.

[0088] The various embodiments in this specification are described in a progressive manner. Each embodiment focuses on the differences from other embodiments. For the same or similar parts among the various embodiments, reference can be made to each other.

[0089] Specific examples are used in this article to elaborate on the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method and its core idea of the present invention; at the same time, for those of ordinary skill in the art, according to the idea of the present invention, there will be changes in the specific implementation methods and application scopes. In summary, the content of this specification should not be construed as a limitation to the present invention.

Claims

1. A method for collecting and sharing dynamic information of highway maintenance operations, characterized in that: include: Deploy a wireless ground penetrating radar in a highway maintenance operation area and obtain road surface structure information based on a reflection signal of the wireless ground penetrating radar; Use phase-sensitive optical time-domain reflectometry to perform optical fiber sensing of pavement materials and obtain pavement status information; Preprocessing the pavement structure information and the pavement state information respectively to obtain first preprocessed data and second preprocessed data; Inputting the first preprocessed data and the second preprocessed data into an integrated model for integration to obtain a road surface monitoring result; The road surface monitoring results are input into a sharing platform and data sharing is achieved using the sharing platform.

2. A method for collecting and sharing dynamic information of highway maintenance operations according to claim 1, characterized in that: The obtaining of road surface structure information according to the reflected signal of the wireless ground penetrating radar comprises: Use wireless ground penetrating radar to perform high-frequency continuous acquisition to obtain multi-channel echo data; Using a convolutional neural network to extract features from the multi-channel echo data to obtain key feature data, wherein the key feature data includes: surface reflection amplitude, sub-surface reflection amplitude, signal delay, and environmental impact factor; Obtaining a pavement segregation index according to the key characteristic data; The pavement structure information is determined according to the pavement segregation index.

3. A method for collecting and sharing dynamic information of highway maintenance operations according to claim 2, characterized in that: The calculation expression of the pavement segregation index is: A = b*c*t+d; Wherein, A is the pavement segregation index, b is the surface reflection amplitude, c is the sub-surface reflection amplitude, t is the signal delay, and d is the environmental impact factor.

4. A method for collecting and sharing dynamic information of highway maintenance operations according to claim 1, characterized in that: The preprocessing of the pavement structure information and the pavement state information to obtain first preprocessed data and second preprocessed data comprises: A low-pass filter is used to remove high-frequency noise signals in the road surface structure information to obtain a denoised signal; Performing normalization processing on the denoised signal to obtain a normalized signal; The wavelet transform method is applied to extract key information of the normalized signal, and the road surface hierarchy structure and defect feature analysis are performed to obtain the first preprocessed data.

5. A method for collecting and sharing dynamic information of highway maintenance operations according to claim 4, characterized in that: The preprocessing of the pavement structure information and the pavement state information to obtain first preprocessed data and second preprocessed data also includes: Using an IQR violation detection method to remove abnormal readings of the road surface state information to obtain de-anomalized data; Smoothing the de-noised data using a moving average method to obtain smoothed data; A state index is calculated for the smoothed data to obtain second preprocessed data.

6. A method for collecting and sharing dynamic information of highway maintenance operations according to claim 5, characterized in that: The calculation expression of the second preprocessing data is: E = w1*s1+w2*s2+w3*s3; Wherein, E is the second preprocessing data, w1-w3 are the corresponding weights, s1 is the stress factor, s2 is the humidity factor, and s3 is the temperature factor.

7. A method for collecting and sharing dynamic information of highway maintenance operations according to claim 5, characterized in that: The construction method of the shared platform is: Constructing a blockchain unit, and using the blockchain unit to store road surface monitoring results; Construct an external unit, and use the external unit to share the navigation map enterprise and variable information board in real time through the API interface; Constructing a feedback unit, using the feedback unit to obtain user feedback data and debugging the parameters of the integrated model according to the feedback data; The sharing platform is constructed by the blockchain unit, the external unit and the feedback unit.

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