Highway pavement skid resistance measuring system

Abstract

The invention relates to the technical field of highway pavement performance detection, and discloses a highway pavement skid resistance measurement system which comprises a multi-dimensional acquisition module and a performance detection module. According to the highway pavement skid resistance measurement system, data sets are collected in a classified mode through the multi-dimensional collection module, the performance detection module calculates and generates the average gradient, the average depth and the flatness coefficient, managers can conveniently and visually know the pavement quality of a tested road section, the environment adaptability is high, the data quality is high, and the detection period with fixed duration is set; each detection period corresponds to one speed change index, the performance detection module judges the driving state of a test vehicle according to the speed change indexes, each driving state of the test vehicle corresponds to one anti-skid index, and the comprehensive evaluation unit is used for generating an evaluation report; and under the conditions of the same gradient, depth, temperature and humidity, the road surface performance is comprehensively evaluated according to the anti-skid indexes corresponding to different driving states, so that the accident risk is low.

Description

Technical Field

[0001] The invention relates to the technical field of highway pavement performance detection, in particular to a highway pavement skid resistance measurement system. Background Art

[0002] The measurement of the skid resistance of highway pavement refers to the process of testing the friction coefficient of highway pavement under wet or dry conditions through scientific methods and technical means. The main purpose of this measurement is to evaluate the skid resistance of the pavement under various weather and environmental conditions, so as to ensure the safety of vehicle driving. The measurement indicators of skid resistance focus on the friction coefficient of the pavement and the construction depth of the pavement. The friction coefficient of the pavement is a direct indicator of the skid resistance of the pavement, which reflects the friction between the pavement and the vehicle tires. The construction depth of the pavement refers to the embedding depth of the surface aggregate of the pavement, which affects the drainage performance of the pavement and the safety of driving in rainy days. The skid resistance measurement of highway pavement is widely used in the field of highway construction and maintenance. In the highway construction stage, the measurement results can be used to guide the selection of pavement materials and the optimization of construction technology. In the highway operation stage, regular skid resistance measurement helps to timely discover pavement problems and provide a basis for pavement maintenance and repair.

[0003] At present, the measurement data collected by traditional highway pavement skid resistance measurement systems are often affected by factors such as pavement structure and outdoor environment. There is a lack of effective data cleaning and preprocessing mechanisms. Poor data quality can easily affect the accuracy of measurement results and cannot provide a more comprehensive pavement performance evaluation. It is easy to misjudge the pavement skid resistance and increase the risk of traffic accidents. Summary of the invention

[0004] 1. Technical issues to be resolved

[0005] In view of the shortcomings of the prior art, the present invention provides a highway pavement skid resistance measurement system, which has the advantages of strong environmental adaptability, high data quality, and low accident risk of comprehensive evaluation of pavement performance. It solves the problem that the traditional highway pavement skid resistance measurement system has poor data quality and is easy to misjudge the pavement performance and has a high risk of accidents.

[0006] (II) Technical solution

[0007] To achieve the above-mentioned object, the present invention provides the following technical solutions: a highway pavement skid resistance measurement system, comprising a multi-dimensional acquisition module and a performance detection module;

[0008] The multi-dimensional acquisition module is composed of a road surface data unit, a vehicle data unit and an environmental data unit. The road surface data unit is connected to a slope detector and a road surface structure depth meter through a network to collect a road surface data set, and the road surface data set includes multiple groups of structure data in a test section. The vehicle data unit is connected to a speedometer and a sliding friction coefficient tester through a network, and collects a driving data set in chronological order from early to late, and the driving data set includes multiple groups of driving data of a test vehicle in a test section. The environmental data unit is connected to a temperature and humidity sensor through a network to collect an environmental data set, and the environmental data set includes multiple groups of temperature and humidity sensor data in the test section. The multi-dimensional acquisition module transmits the road surface data set, the driving data set and the environmental data set to the performance detection module through the network;

[0009] The performance detection module is composed of a pavement analysis unit, an anti-skid analysis unit and a comprehensive evaluation unit. The pavement analysis unit calculates and generates an average slope based on the pavement data set. Average Depth The anti-skid analysis unit calculates and generates the speed index Bszs according to the driving data set, and the anti-skid analysis unit determines the driving state of the test vehicle according to the speed index Bszs, and then generates the anti-skid index Khzs according to the judgment result, and transmits it to the comprehensive evaluation unit through the network. The comprehensive evaluation unit calculates the average slope Average Depth The evaluation report consists of the smoothing coefficient Pzxs, driving data set, speed change index Bszs, the judgment result of the driving state of the test vehicle, the anti-skid index Khzs and the environmental data set.

[0010] Preferably, the expression of the road surface data set is: to It corresponds to each group of pavement structure data in the test section in turn. The pavement structure data includes pavement slope and pavement structure depth. p represents the pavement slope of the test section, s represents the pavement structure depth of the test section, and 1 to m represents that there are m groups of pavement structure data collected by the slope detector and the pavement structure depth meter.

[0011] Preferably, the expression of the driving data set is: to It corresponds to each set of driving data in the test section in turn. The driving data includes driving speed and road friction coefficient. v represents the driving speed of the test vehicle, μ represents the road friction coefficient of the test vehicle, and 1 to n represents that there are n sets of driving data collected by the speedometer and the sliding friction coefficient tester.

[0012] Preferably, the expression of the environmental data set is to Corresponding to each set of temperature and humidity sensing data in the test section in turn, the temperature and humidity sensing data include road surface temperature value and road surface humidity value, w represents the road surface temperature value of the test section, RH represents the road surface humidity value of the test section, 1 to j represents that there are j sets of temperature and humidity sensing data collected by the temperature and humidity sensor.

[0013] Preferably, the anti-skid analysis unit is provided with a detection cycle Q of a fixed duration, and divides the driving data set according to the detection cycle Q, and the anti-skid analysis unit marks the divided driving data set as {QX 1 , QX 2 , QX 3 ,…,QX d}, QX 1 To QX d Corresponding to multiple groups of driving data in each detection cycle Q in sequence, 1 to d indicates that the number of divisions of the driving data set is d detection cycles, and the anti-skid analysis unit calculates and generates the speed change index Bszs according to the divided driving data set, and each detection cycle Q corresponds to a speed change index Bszs.

[0014] Preferably, within the single detection cycle Q, if the speed index Bszs is a positive number, it indicates that the test vehicle is in an accelerating state; if the speed index Bszs is 0, it indicates that the test vehicle is in a constant speed state; if the speed index Bszs is a negative number, it indicates that the test vehicle is in a decelerating state.

[0015] Compared with the prior art, the present invention provides a highway pavement skid resistance measurement system, which has the following beneficial effects:

[0016] 1. The present invention connects the slope detector, the road surface structure depth meter, the speedometer, the sliding friction coefficient tester and the temperature and humidity sensor through a multi-dimensional acquisition module network, and classifies and collects the road surface data set, the driving data set and the environmental data set. The performance detection module is provided with a road surface analysis unit, an anti-skid analysis unit and a comprehensive evaluation unit. The road surface analysis unit calculates and generates the average slope according to the road surface data set. Average Depth The smoothing coefficient Pzxs makes it easy for management personnel to intuitively understand the road surface quality of the test section, with strong environmental adaptability and high data quality.

[0017] 2. The present invention sets a fixed-length detection cycle Q through the anti-skid analysis unit, and divides the driving data set according to the detection cycle Q. Each detection cycle Q corresponds to the zero-speed start, slow acceleration, constant speed driving, slow deceleration to stationary parking stage of the test vehicle in sequence. Each detection cycle Q corresponds to a speed index Bszs. The anti-skid analysis unit determines the driving state of the test vehicle according to the speed index Bszs. Each driving state of the test vehicle corresponds to an anti-skid index Khzs. The comprehensive evaluation unit calculates the average slope Average Depth The evaluation report is composed of the smoothness coefficient Pzxs, driving data set, speed change index Bszs, the judgment result of the driving state of the test vehicle, the anti-skid index Khzs and the environmental data set. The evaluation report integrates the anti-skid index Khzs corresponding to different driving states under the same slope, depth, temperature and humidity within the test section, and comprehensively evaluates the road performance with low accident risk. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a schematic diagram of the system flow of the present invention. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] Since the measurement data collected by the traditional highway pavement anti-skid measurement system is often affected by factors such as pavement structure and outdoor environment, and lacks effective data cleaning and preprocessing mechanisms, poor data quality can easily affect the accuracy of the measurement results, and cannot provide a more comprehensive pavement performance evaluation. It is easy to misjudge the pavement anti-skid performance and increase the risk of traffic accidents. Therefore, a highway pavement anti-skid measurement system is provided. Please refer to Figure 1 ,The system includes a multi-dimensional acquisition module and a performance detection module;

[0021] The multi-dimensional acquisition module consists of a road data unit, a vehicle data unit, and an environmental data unit, each of which corresponds to the measurement data of a single dimension;

[0022] In the actual measurement process, in order to ensure the measurement accuracy, the long test road section must first be divided into multiple areas and marked as Section A, Section B, Section C, etc., and then the slope, depth, temperature and humidity are measured on the road surface of Section A. Each item is measured at least three times, and the test vehicle is controlled to measure the driving data within the scope of Section A. The number of measurements is at least three times, and each measurement requires the test vehicle to start from zero speed, slowly accelerate, drive at a constant speed, and slowly decelerate to a stationary stop. After the measurement is completed, the highway pavement skid resistance measurement system conducts a single round of skid resistance evaluation and forms an evaluation report for Section A. Similarly, the test section B and Section C pavement processes are all evaluated for skid resistance according to the above process, and the evaluation reports for Section B and Section C pavement are formed.

[0023] The pavement data unit collects the pavement data set through the network connection of the slope detector and the pavement structure depth meter. The pavement data set includes multiple sets of structure data in the test section. The expression of the pavement data set is: to It corresponds to each group of pavement structure data in the test section in turn. The pavement structure data includes the pavement slope and the pavement structure depth. p represents the pavement slope of the test section, s represents the pavement structure depth of the test section, and 1 to m represent that there are m groups of pavement structure data collected by the slope detector and the pavement structure depth meter. Taking section A of the pavement as an example, the pavement data set corresponds to the multiple measurement results of the slope detector and the pavement structure depth meter within the scope of section A of the pavement.

[0024] The vehicle data unit is connected to the speedometer and the sliding friction coefficient tester through the network, and collects the driving data set from morning to night in chronological order. The driving data set includes multiple sets of driving data of the test vehicle in the test section. The expression of the driving data set is to Corresponding to each set of driving data in the test section in turn, the driving data includes driving speed and road friction coefficient, v represents the driving speed of the test vehicle, μ represents the road friction coefficient of the test vehicle, 1 to n represents that there are n sets of driving data collected by the speedometer and the sliding friction coefficient tester. Taking section A road as an example, the driving data set corresponds to multiple measurement results of the speedometer and the sliding friction coefficient tester within the scope of section A road, including the speed values ​​and road friction coefficient of the test vehicle at all time points during the process from zero speed start, slow acceleration, constant speed driving, slow deceleration to stationary parking;

[0025] The environmental data unit collects environmental data sets through network connection to temperature and humidity sensors. The environmental data sets include multiple sets of temperature and humidity sensor data in the test section. The expression of the environmental data set is: to Corresponding to each group of temperature and humidity sensing data in the test section in turn, the temperature and humidity sensing data include road surface temperature value and road surface humidity value, w represents the road surface temperature value of the test section, RH represents the road surface humidity value of the test section, 1 to, represents that the temperature and humidity sensing data collected by the temperature and humidity sensor are, groups, taking section A road surface as an example, the environmental data set corresponds to the multiple measurement results of the temperature and humidity sensor within the scope of section A road surface;

[0026] The multi-dimensional acquisition module transmits the road data set, driving data set and environmental data set to the performance detection module through the network, which integrates the measurement data of multiple constant dimensions and variable dimensions, which is conducive to the subsequent comprehensive evaluation of road performance;

[0027] The performance detection module consists of a pavement analysis unit, an anti-skid analysis unit, and a comprehensive evaluation unit. The pavement analysis unit calculates and generates the average slope based on the pavement data set. Average Depth and leveling coefficient Pzxs, and transmits it to the comprehensive evaluation unit through the network;

[0028] Average slope The calculation formula is as follows:

[0029]

[0030] In the formula, represents the average slope, ∑ m (L1 p +L2 p +L3 p +…+Lm p ) represents the sum of the m groups of road slopes in the road data set, It represents the average slope obtained by dividing the sum of the slopes of m groups of road surfaces by the number of data. The greater the slope, the higher the risk of driving on the road. It requires more advanced construction technology to ensure the road surface's anti-skid properties, so as to ensure that vehicles can maintain stable driving when passing by.

[0031] Average Depth The calculation formula is as follows:

[0032]

[0033] In the formula, represents the average depth, ∑ m (L1 s +L2 s +L3 s +…+Lm s ) represents the sum of the m groups of pavement structure depths in the pavement dataset, It represents the average depth obtained by dividing the sum of the m groups of pavement structural depths by the number of data. The pavement structural depth is directly related to the pavement roughness and pavement drainage capacity.

[0034] The calculation formula of the leveling coefficient Pzxs is as follows:

[0035]

[0036] In the formula, Pzxs represents the leveling coefficient, Li p represents the road slope of the i-th group in the road data set, It means that the degree of dispersion of m groups of road slopes and the average slope is calculated by the variance formula, that is, the slope variance, Li s represents the depth of the i-th group of pavement structures in the pavement dataset, It indicates that the degree of dispersion of the pavement structure depth and the average depth of m groups is calculated by the variance formula at the same time, which is the depth variance. The leveling coefficient includes the slope variance and the depth variance, which is convenient for the management personnel to intuitively understand the pavement quality of the test section through the leveling coefficient Pzxs. If the pavement quality of the test section is lower than the conventional level, the pavement construction process is the main reason for the poor skid resistance of the highway, and the environmental adaptability is strong and the data quality is high;

[0037] The anti-skid analysis unit is set with a fixed-length detection cycle Q, and divides the driving data set according to the detection cycle Q. The anti-skid analysis unit marks the divided driving data set as {QX 1 , QX 2 , QX 3 ,…,QX d}, QX 1 To QX d Corresponding to multiple groups of driving data in each detection cycle Q, 1 to d indicates that the number of driving data sets divided is d detection cycles, and d detection cycles Q correspond to the test vehicle starting at zero speed, slow acceleration, constant speed driving, slow deceleration to stationary parking stages in sequence. The anti-skid analysis unit calculates and generates the speed change index Bszs according to the divided driving data sets. Each detection cycle Q corresponds to a speed change index Bszs, and its calculation formula is as follows:

[0038] Bszs=∑ Q (Xk v -Xk-1 v )

[0039] In the formula, Bsqs represents the speed index, Xk v represents the driving speed within a single detection cycle Q, Xk-1 v Indicates that within a single detection cycle Q, Xk v The previous driving speed, ∑ Q (Xk v -Xk-1 v ) indicates that the difference between two adjacent driving speeds in a single detection cycle Q is calculated in chronological order from early to late, which is the speed change index;

[0040] The anti-skid analysis unit determines the driving state of the test vehicle according to the speed index Bszs. Within a single detection cycle Q, if the speed index Bszs is a positive number, it means that the test vehicle is in an acceleration state; if the speed index Bszs is 0, it means that the test vehicle is in a constant speed state; if the speed index Bszs is a negative number, it means that the test vehicle is in a deceleration state;

[0041] The anti-skid analysis unit generates an anti-skid index Khzs based on the judgment results. Each driving state of the test vehicle corresponds to an anti-skid index Khzs, and its calculation formula is as follows:

[0042]

[0043] In the formula, Khzs represents the anti-slip index, It represents the maximum value of the road friction coefficient within a single detection cycle Q. BZ represents the fixed constant used in the calculation formula of the anti-skid index to measure the road friction coefficient, that is, the standard road friction coefficient. It represents the ratio of the maximum friction coefficient of the road surface within a single detection cycle Q to a fixed constant, which is the anti-skid index;

[0044] The comprehensive assessment unit will average the slope Average Depth The evaluation report is composed of the smoothness coefficient Pzxs, driving data set, speed change index Bszs, the judgment result of the driving state of the test vehicle, the anti-skid index Khzs and the environmental data set. The evaluation report integrates the anti-skid index Khzs corresponding to different driving states under the same slope, depth, temperature and humidity within the test section, and comprehensively evaluates the road performance with low accident risk.

[0045] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A highway pavement skid resistance measurement system, characterized in that: Including multi-dimensional acquisition module and performance detection module; The multi-dimensional acquisition module is composed of a road surface data unit, a vehicle data unit and an environmental data unit. The road surface data unit is connected to a slope detector and a road surface structure depth meter through a network to collect a road surface data set, and the road surface data set includes multiple groups of structure data in a test section. The vehicle data unit is connected to a speedometer and a sliding friction coefficient tester through a network, and collects a driving data set in chronological order from early to late. The driving data set includes multiple groups of driving data of the test vehicle in the test section. The environmental data unit is connected to a temperature and humidity sensor through a network to collect an environmental data set, and the environmental data set includes multiple groups of temperature and humidity sensor data in the test section. The multi-dimensional acquisition module transmits the road surface data set, the driving data set and the environmental data set to the performance detection module through the network.

2. A highway pavement skid resistance measurement system according to claim 1, characterized in that: The performance detection module is composed of a pavement analysis unit, an anti-skid analysis unit and a comprehensive evaluation unit. The pavement analysis unit calculates and generates an average slope based on the pavement data set. Average Depth The anti-skid analysis unit calculates and generates the speed index Bszs according to the driving data set, and the anti-skid analysis unit determines the driving state of the test vehicle according to the speed index Bszs, and then generates the anti-skid index Khzs according to the judgment result, and transmits it to the comprehensive evaluation unit through the network. The comprehensive evaluation unit calculates the average slope Average Depth The evaluation report consists of the smoothing coefficient Pzxs, driving data set, speed change index Bszs, the judgment result of the driving state of the test vehicle, the anti-skid index Khzs and the environmental data set.

3. A highway pavement skid resistance measurement system according to claim 2, characterized in that: The expression of the road surface dataset is: to It corresponds to each group of pavement structure data in the test section in turn. The pavement structure data includes pavement slope and pavement structure depth. p represents the pavement slope of the test section, s represents the pavement structure depth of the test section, and 1 to m represents that there are m groups of pavement structure data collected by the slope detector and the pavement structure depth meter.

4. A highway pavement skid resistance measurement system according to claim 3, characterized in that: The expression of the driving data set is: to It corresponds to each set of driving data in the test section in turn. The driving data includes driving speed and road friction coefficient. v represents the driving speed of the test vehicle, μ represents the road friction coefficient of the test vehicle, and 1 to n represents that there are n sets of driving data collected by the speedometer and the sliding friction coefficient tester.

5. A highway pavement skid resistance measurement system according to claim 4, characterized in that: The expression of the environmental data set is to Corresponding to each set of temperature and humidity sensing data in the test section in turn, the temperature and humidity sensing data include road surface temperature value and road surface humidity value, w represents the road surface temperature value of the test section, RH represents the road surface humidity value of the test section, 1 to j represents that there are j sets of temperature and humidity sensing data collected by the temperature and humidity sensor.

6. A highway pavement skid resistance measurement system according to claim 5, characterized in that: The anti-skid analysis unit is provided with a detection cycle Q of a fixed duration, and divides the driving data set according to the detection cycle Q. The anti-skid analysis unit marks the divided driving data set as {QX 1 , QX 2 , QX 3 ,...,QX d }, QX 1 To QX d Corresponding to multiple groups of driving data in each detection cycle Q in sequence, 1 to d indicates that the number of divisions of the driving data set is d detection cycles, and the anti-skid analysis unit calculates and generates the speed change index Bszs according to the divided driving data set, and each detection cycle Q corresponds to a speed change index Bszs.

7. A highway pavement skid resistance measurement system according to claim 6, characterized in that: In the single detection cycle Q, if the speed index Bszs is a positive number, it indicates that the test vehicle is in an accelerating state; if the speed index Bszs is 0, it indicates that the test vehicle is in a constant speed state; if the speed index Bszs is a negative number, it indicates that the test vehicle is in a decelerating state.

Images