A dynamic road pattern-based road health state monitoring method, system and device

Abstract

The application provides a kind of dynamic road pattern-based road health state monitoring method, system and equipment, its method includes: based on the grating array sensing network in road section obtains the initial dynamic road pattern of road under vehicle excitation;Obtain the reference dynamic road pattern of road in reference state, based on reference dynamic road pattern, initial dynamic road pattern is normalized, and dynamic road pattern is obtained;Dynamic road pattern is the state response variation curve of structural excitation along the road mileage position variation and change characteristic;Based on dynamic road pattern and reference dynamic road pattern, determine whether there is non-normal pavement damage, roadbed emptying and non-uniform settlement and other diseases in road.The application uses the whole vibration or strain response of road to construct the dynamic road pattern, considers the overall structural characteristics of road, improves the relevance of dynamic road pattern and road health state, and then can realize the purpose of accurately monitoring the road health state based on dynamic road pattern, improves the accuracy and real-time performance of road health state monitoring.

Description

Technical Field

[0001] This invention relates to the field of road condition monitoring technology, specifically to a method, system, and device for monitoring road health status based on dynamic pavement patterns. Background Technology

[0002] Road maintenance and management is a crucial aspect of the sustainable development of transportation infrastructure, encompassing the entire lifecycle management of existing roads, including inspection, assessment, repair, and maintenance. Accurate road maintenance and management relies on the accurate monitoring of road health conditions.

[0003] Current road health monitoring technologies include video surveillance equipment, point sensor monitoring equipment, INSAR or BeiDou satellite remote sensing technology, and regular road surface inspection technology. Video surveillance technology cannot economically and effectively achieve full-line coverage of highways and is highly susceptible to weather and visual conditions, failing to capture road damage events during extreme weather or events outside the equipment's line of sight. Point sensor monitoring technology only monitors the vicinity of pre-buried points, unable to achieve full-range coverage. INSAR satellite remote sensing technology has the advantages of wide coverage and high detection accuracy; however, INSAR satellites can only operate along fixed orbits and cannot perform real-time monitoring. GNSS satellite monitoring technology, represented by BeiDou, still relies on ground-embedded signal receiving devices to achieve all-weather real-time monitoring, unable to form a truly comprehensive highway monitoring network. Regular road surface inspection technologies, represented by ground-penetrating radar, ultrasonic non-destructive testing instruments, and deflectometers, employ scanning active detection methods, requiring traffic disruptions and inspections along the route, resulting in poor timeliness, low operational feasibility, and high human and financial costs, hindering large-scale deployment. In other words, existing road monitoring technologies cannot reflect the health changes of the overall road structure in real time and comprehensively, making it difficult to promptly reveal potential hazards that could lead to accidents, and easily causing false alarms or omissions of important information.

[0004] Therefore, there is an urgent need to provide a method, system, and equipment for monitoring road health status based on dynamic pavement patterns, so as to achieve comprehensive and real-time monitoring of roads, thereby improving the real-time performance and accuracy of health status monitoring. Summary of the Invention

[0005] In view of this, it is necessary to provide a road health status monitoring method, system and equipment based on dynamic pavement to solve the technical problem that the existing technology cannot simultaneously take into account both full range and real-time performance, resulting in poor real-time performance and accuracy of road health status monitoring.

[0006] To address the aforementioned technical problems, in a first aspect, the present invention provides a method for monitoring road health status based on dynamic pavement patterns, comprising:

[0007] The initial dynamic road pattern of the road under vehicle excitation is obtained based on the grating array sensor network in the road segment;

[0008] A reference dynamic road pattern is obtained under a reference state. The initial dynamic road pattern is normalized based on the reference dynamic road pattern to obtain a dynamic road pattern. The dynamic road pattern is a state response curve that changes along the road mileage position and represents the structure under the excitation of traffic vehicles.

[0009] Based on the dynamic road pattern and the reference dynamic road pattern, it is determined whether the road has abnormal pavement damage, roadbed voids, or uneven settlement.

[0010] In one possible implementation, the grating array sensing network in the road segment acquires the initial dynamic road pattern of the road under vehicle excitation, including:

[0011] The dynamic state response of the road under vehicle excitation within a preset time period is obtained based on the grating array sensor network in the road segment. The dynamic state response includes multiple acquisition time state responses that correspond one-to-one with multiple acquisition times of the grating array sensor network. The acquisition time state response includes acquisition time state sub-responses that correspond one-to-one with multiple measurement points.

[0012] Based on the state sub-response at the acquisition time, the sum of the state response energies of each of the measurement points at the plurality of acquisition times is determined, and the ratio of the sum of the state response energies to the total number of the plurality of acquisition times is used as the representative state response energy of each of the measurement points.

[0013] A dynamic response curve is plotted with the mileage location of the road as the horizontal axis and the representative state response energy as the vertical axis. The dynamic response curve is the initial dynamic road pattern.

[0014] In one possible implementation, the reference dynamic path pattern includes multiple reference state energy averages corresponding one-to-one with the plurality of measurement points; then, the normalization process of the initial dynamic path pattern based on the reference dynamic path pattern to obtain the dynamic path pattern includes:

[0015] Determine the energy ratio between the representative state response energy and the average baseline state energy at each measurement point, and use the energy ratio as a normalization coefficient;

[0016] The initial dynamic pattern is normalized based on the normalization coefficient to obtain the dynamic pattern.

[0017] In one possible implementation, the step of normalizing the initial dynamic path pattern based on the normalization coefficient to obtain the dynamic path pattern includes:

[0018] The median of the normalization coefficients of the plurality of measurement points is determined based on the normalization coefficients of each of the measurement points;

[0019] The median is multiplied by the representative state response energy of each measuring point in the initial dynamic pattern to obtain the corrected state response energy of each measuring point. The corrected state response energies of the multiple measuring points constitute the dynamic pattern.

[0020] In one possible implementation, determining whether the road has abnormal pavement damage, subgrade voids, or non-uniform settlement based on the dynamic pavement pattern and the reference dynamic pavement pattern includes:

[0021] The abnormal mileage of the dynamic road pattern is determined based on the benchmark dynamic road pattern;

[0022] When the abnormal mileage is less than the first preset mileage, the road has abnormal road surface damage;

[0023] When the abnormal mileage is greater than the first preset mileage but less than the second preset mileage, the roadbed is detached.

[0024] When the abnormal mileage is greater than the second preset mileage, the road experiences non-uniform settlement.

[0025] In one possible implementation, the method further includes:

[0026] Determine the abnormal state energy of the abnormal mileage;

[0027] When the sum of the abnormal state energy is less than the first energy value, the road has abnormal road surface damage;

[0028] When the sum of the abnormal state energy is greater than the first energy value and less than the second energy value, the roadbed is detached.

[0029] When the sum of the abnormal state energy values ​​is greater than the second energy value, the road experiences non-uniform settlement.

[0030] In one possible implementation, the method further includes:

[0031] Determine the abnormal distribution shape of the abnormal mileage;

[0032] When the abnormal distribution shape is a peak-shaped bulge, the road has roadbed voids;

[0033] When the abnormal distribution shape is a mound-like ridge, the road experiences non-uniform settlement.

[0034] In one possible implementation, the dynamic road pattern includes a first dynamic road pattern and a second dynamic road pattern corresponding to the lane, and the reference dynamic road pattern includes a first reference dynamic road pattern and a second reference dynamic road pattern corresponding to the lane; then the method further includes:

[0035] Based on the first reference dynamic path pattern, a first abnormal region of the first dynamic path pattern is determined, and based on the second reference dynamic path pattern, a second abnormal region of the second dynamic path pattern is determined.

[0036] Determine whether the mileage difference between the first abnormal region and the second abnormal region is within a preset mileage difference range;

[0037] If not, then the road does not have any abnormal road surface damage.

[0038] Secondly, the present invention also provides a road health status monitoring system based on dynamic road pattern, comprising:

[0039] A grating array sensing optical cable is used to construct a grating array sensing network and acquire the initial dynamic road pattern of the road under vehicle excitation.

[0040] The dynamic road pattern construction module is used to obtain the baseline dynamic road pattern of the road under the baseline state, and to normalize the initial dynamic road pattern based on the baseline dynamic road pattern to obtain the dynamic road pattern; the dynamic road pattern is a state response curve that changes along the road mileage position and represents the structure under the excitation of traffic vehicles.

[0041] The road monitoring module is used to determine whether there are abnormal road surface damage, roadbed voids, and non-uniform settlements on the road based on the dynamic road pattern.

[0042] Thirdly, the present invention also provides a road monitoring device, including a memory and a processor, wherein,

[0043] The memory is used to store programs;

[0044] The processor, coupled to the memory, is used to execute the program stored in the memory to implement the steps in the road health status monitoring method based on dynamic road patterns as described in any of the above possible implementations.

[0045] The beneficial effects of this invention are as follows: The road health status monitoring method based on dynamic pavement pattern provided by this invention first acquires the initial dynamic pavement pattern under vehicle excitation based on a grating array sensor network in the road segment. Utilizing the full coverage and real-time characteristics of the grating array sensor network, it provides a data foundation for subsequent overall analysis of the road segment. Second, the initial dynamic pavement pattern is normalized based on the baseline dynamic pavement pattern, taking into account the difference in vehicle load between the baseline and initial dynamic pavement pattern acquisition times. This eliminates the influence of vehicle load on the evaluation results and improves the accuracy of the health status monitoring results.

[0046] Furthermore, since the state response characteristics of a road remain largely unchanged under healthy and normal operating conditions once it is built, any change in the dynamic road pattern indicates a change in the road surface or internal infrastructure of the road segment. This means that the health status of the road segment can be monitored based on the dynamic road pattern. In other words, this invention utilizes dynamic state response to construct a dynamic road pattern that characterizes the structural characteristics of a road segment. Specifically, the dynamic road pattern is a state response curve that changes along the mileage position of the road segment and represents the structural changes caused by traffic vehicle excitation. It can characterize the road segment characteristics through the correlation between different mileage positions. Compared to single-point methods, it considers the overall structural characteristics of the road, improves the correlation between the dynamic road pattern and the health status of the road segment, and thus achieves the goal of accurately monitoring the health status of the road segment based on the dynamic road pattern, improving the comprehensiveness, accuracy, and real-time nature of road pattern monitoring. Attached Figure Description

[0047] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0048] Figure 1 A schematic flowchart of an embodiment of the road health status monitoring method based on dynamic road pattern provided by the present invention;

[0049] Figure 2 For the present invention Figure 1 A schematic diagram of an embodiment of step S101;

[0050] Figure 3 For the present invention Figure 1 A schematic diagram of an embodiment of step S102;

[0051] Figure 4 For the present invention Figure 3 A schematic flowchart of an embodiment of step S302;

[0052] Figure 5 For the present invention Figure 1 A schematic diagram of another embodiment of step S103;

[0053] Figure 6 A schematic flowchart of an embodiment of the present invention based on abnormal state energy and monitoring of road health status;

[0054] Figure 7 A schematic flowchart of an embodiment of the present invention for monitoring road health status based on abnormal distribution shape;

[0055] Figure 8 A schematic diagram of an embodiment of the abnormal distribution shape of roadbed voids provided by the present invention;

[0056] Figure 9 A schematic diagram of an embodiment of the abnormal distribution shape of non-uniform settlement provided by the present invention;

[0057] Figure 10 This is a schematic flowchart of an embodiment of the present invention for monitoring road health status based on dynamic road patterns of different lanes;

[0058] Figure 11 A schematic diagram of an embodiment of the road health status monitoring system based on dynamic road pattern provided by the present invention;

[0059] Figure 12 This is a schematic diagram of an embodiment of the road monitoring device provided by the present invention. Detailed Implementation

[0060] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0061] It should be understood that the illustrative drawings are not drawn to scale. The flowcharts used in this invention illustrate operations implemented according to some embodiments of the invention. It should be understood that the operations in the flowcharts may be implemented out of order, and steps without logical contextual relationships may be reversed or performed simultaneously. Furthermore, those skilled in the art, guided by the content of this invention, may add one or more other operations to the flowcharts, or remove one or more operations from the flowcharts. Some block diagrams shown in the drawings are functional entities and do not necessarily correspond to physically or logically independent entities. These functional entities may be implemented in software, in one or more hardware modules or integrated circuits, or in different network and / or processor systems and / or microcontroller systems.

[0062] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a mutually exclusive, independent, or alternative embodiment. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0063] This invention provides a method, system, and device for monitoring road health status based on dynamic road patterns, which will be described below.

[0064] Figure 1 This is a schematic flowchart of an embodiment of the road health status monitoring method based on dynamic road pattern provided by the present invention, as shown below. Figure 1 As shown, the road health status monitoring method based on dynamic pavement patterns includes:

[0065] S101. Obtain the initial dynamic road pattern of the road under vehicle excitation based on the grating array sensor network in the road segment.

[0066] The grating array sensing network consists of grating array sensing optical cables laid in the road.

[0067] It should be understood that for newly built roads, the grating array sensing optical cable can be buried inside the road structure, while for existing roads, it can be buried in a trench on the road surface or laid on the road surface.

[0068] Specifically, the grating array sensing network can be a strain sensing network or a vibration sensing network. Specifically, when the strain signal acquired by the strain sensing network is small and cannot effectively reflect the initial dynamic pattern, the initial dynamic pattern can be obtained by the vibration sensing network with higher sensitivity.

[0069] In a preferred embodiment of the present invention, the grating array sensing network is a grating array vibration sensing network.

[0070] S102. Obtain the reference dynamic road pattern of the road under the reference state, and normalize the initial dynamic road pattern based on the reference dynamic road pattern to obtain the dynamic road pattern; the dynamic road pattern is a curve that changes along the road mileage position and represents the state response change of the structure under the excitation of traffic vehicles.

[0071] The baseline dynamic road pattern refers to the dynamic road pattern when the road is in a healthy state and under normal operating conditions. Normal operating conditions refer to the situation where the number of vehicles is within a preset range.

[0072] It should be understood that the state response change curve can be a vibration change curve or a strain change curve.

[0073] It should be noted that vehicle excitations on the road have a certain degree of randomness. The vehicle excitations during the construction of the baseline dynamic road pattern will differ from those during the construction of the initial dynamic road pattern. In order to avoid the impact of different vehicle excitations on the final monitoring results, this embodiment of the invention normalizes the initial dynamic road pattern based on the baseline dynamic road pattern to eliminate the influence of vehicle excitations and ensure the accuracy of subsequent road health status monitoring.

[0074] Among them, vehicle incentives are related to traffic flow and the load of each vehicle.

[0075] S103. Determine whether there are abnormal road surface damage, roadbed voids and non-uniform settlement based on dynamic road patterns and benchmark dynamic road patterns.

[0076] In addition to the abnormal road surface damage, roadbed voids and uneven settlement mentioned above, embodiments of the present invention can also monitor other health conditions, which will not be elaborated here.

[0077] It should be understood that the road health status monitoring method based on dynamic road patterns in the embodiments of the present invention can be implemented in any device based on the road health status monitoring method based on dynamic road patterns, such as electronic devices such as road monitoring devices or traffic management devices. Specifically, the road health status monitoring method based on dynamic road patterns is stored in the aforementioned device as a pre-programmed program. When the device is started, the program is invoked, and the road health status monitoring method based on dynamic road patterns is implemented.

[0078] Compared with existing technologies, the road health status monitoring method based on dynamic pavement patterns provided in this invention first acquires the initial dynamic pavement pattern under vehicle excitation based on a grating array sensor network in the road segment. Utilizing the full coverage and real-time characteristics of the grating array sensor network, it provides a data foundation for subsequent overall analysis of the road segment. Secondly, the initial dynamic pavement pattern is normalized based on a baseline dynamic pavement pattern, taking into account the difference in vehicle load between the baseline and initial dynamic pavement patterns. This eliminates the influence of vehicle load on the evaluation results and improves the accuracy of the health status monitoring results.

[0079] Furthermore, since the state response characteristics of a road remain largely unchanged under healthy and normal operating conditions once it is built, any change in the dynamic road pattern indicates a change in the road surface or internal infrastructure of the road segment. This means that the health status of the road segment can be monitored based on the dynamic road pattern. In other words, this invention utilizes dynamic state response to construct a dynamic road pattern that characterizes the structural characteristics of a road segment. Specifically, the dynamic road pattern is a state response curve that changes along the mileage position of the road segment and represents the structural changes caused by traffic vehicle excitation. It can characterize the road segment characteristics through the correlation between different mileage positions. Compared to single-point methods, it considers the overall structural characteristics of the road, improves the correlation between the dynamic road pattern and the health status of the road segment, and thus achieves the goal of accurately monitoring the health status of the road segment based on the dynamic road pattern, improving the comprehensiveness, accuracy, and real-time nature of road pattern monitoring.

[0080] To ensure the accuracy and reliability of the initial dynamic pattern and eliminate the influence of instantaneous and accidental factors, in some embodiments of the present invention, the initial dynamic pattern is the average dynamic state response over a certain time span. Specifically, such as... Figure 2 As shown, step S101 includes:

[0081] S201. The dynamic state response of the road under vehicle excitation within a preset time period is obtained based on the grating array sensor network in the road segment. The dynamic state response includes multiple acquisition time state responses that correspond one-to-one with multiple acquisition times of the grating array sensor network. The acquisition time state response includes acquisition time state sub-responses that correspond one-to-one with multiple measurement points.

[0082] The acquisition time is related to the acquisition frequency of the grating array sensor network, and the number of state responses at the acquisition time is the product of the acquisition frequency and the preset duration.

[0083] In specific embodiments of the present invention, the preset duration can be one day, one week, one month, or one year, and can be set or adjusted adaptively according to actual needs.

[0084] Measurement points refer to different measurement locations of the grating array sensing optical cable. When the grating array sensing optical cable is arranged along the mileage direction of the road, different measurement points represent different mileage locations.

[0085] S202. Based on the state sub-response at the acquisition time, determine the sum of the state response energy of each measuring point at multiple acquisition times, and use the ratio of the sum of the state response energy to the total number of acquisition times as the representative state response energy of each measuring point.

[0086] For example, if there are 5 acquisition times, and the state response energies of one measurement point i at the 5 acquisition times are A1, A2, A3, A4 and A5 respectively, then the representative state response energy of measurement point i is (A1+A2+A3+A4+A5) / 5. The representative state response energy of all measurement points can be calculated in this way.

[0087] S203. Plot a dynamic response curve with the road mileage location as the horizontal axis and the state response energy as the vertical axis. The dynamic response curve is the initial dynamic road pattern.

[0088] In a specific embodiment of the present invention, there is a mapping relationship between the mileage location and the measuring point, that is: the measuring point can be used as the horizontal coordinate to construct the initial dynamic road pattern.

[0089] This invention eliminates the influence of instantaneous and accidental events by using the average state response energy at multiple sampling times as the representative state response energy, thus ensuring the representativeness of the obtained initial dynamic road pattern to the road state and thereby ensuring the accuracy of road health status monitoring.

[0090] In some embodiments of the present invention, the reference dynamic pattern includes multiple average reference state energy values ​​corresponding one-to-one with multiple measurement points; such as... Figure 3 As shown, step S102, which normalizes the initial dynamic pattern based on the baseline dynamic pattern to obtain the dynamic pattern, includes:

[0091] S301. Determine the energy ratio of the representative state response energy to the average baseline state energy at each measuring point, and use the energy ratio as the normalization coefficient.

[0092] By using the energy ratio as the normalization coefficient, dynamic normalization processing of the initial dynamic road pattern based on the average energy of the baseline state is realized, which improves the accuracy of the normalization coefficient.

[0093] S302. Normalize the initial dynamic pattern based on the normalization coefficient to obtain the dynamic pattern.

[0094] In a specific embodiment of the present invention, step S302 specifically involves: normalizing the representative state response energy corresponding to each measuring point based on the normalization coefficient of each measuring point, that is: using the product of the representative state response energy of each measuring point and the normalization coefficient as the state response energy of each measuring point in the dynamic road pattern.

[0095] In this embodiment of the invention, a normalization coefficient is determined at each measurement point. Based on the normalization coefficient at each measurement point, the representative state response energy corresponding to the measurement point in the initial dynamic pattern is normalized. This enables targeted normalization for each measurement point, thereby improving the accuracy of the obtained dynamic pattern.

[0096] Since the vehicle load at different measuring points does not vary significantly, based on this characteristic, in order to reduce the amount of data processing and improve monitoring efficiency while ensuring the accuracy of normalization processing, in some embodiments of the present invention, such as... Figure 4 As shown, step S302 includes:

[0097] S401. Determine the median of the normalization coefficients of multiple measurement points based on the normalization coefficients of each measurement point;

[0098] S402. Calculate the product of the median and the representative state response energy of each measuring point in the initial dynamic pattern to obtain the corrected state response energy of each measuring point. The corrected state response energies of multiple measuring points constitute the dynamic pattern.

[0099] In this embodiment of the invention, the median of the normalized coefficients of multiple measuring points is used as the correction coefficient for the representative state response energy of each measuring point. That is, the correction coefficients of different measuring points are the same. Compared with the method of correcting the representative state response energy based on different correction coefficients of each measuring point, the amount of calculation is greatly reduced, the construction efficiency of dynamic road patterns is improved, and the efficiency of monitoring road health status is improved.

[0100] Because abnormal pavement damage typically occurs over a smaller area, while subgrade voiding occurs over a larger area, and non-uniform settlement is usually a large-scale phenomenon with a larger area than subgrade voiding, based on this characteristic, in some embodiments of the present invention, such as... Figure 5 As shown, step S103 includes:

[0101] S501. Determine the abnormal mileage of the dynamic road pattern based on the baseline dynamic road pattern.

[0102] The abnormal mileage can be obtained by subtracting the baseline dynamic road pattern from the dynamic road pattern. The abnormal mileage refers to the span of the measuring point where the abnormality occurs. For example, if the abnormality occurs between measuring points 100 and 110, the abnormal mileage is the distance between measuring points 100 and 110.

[0103] S502. When the abnormal mileage is less than the first preset mileage, there is abnormal road surface damage.

[0104] In a specific embodiment of the present invention, the first preset mileage is the distance between 2 to 3 measuring points.

[0105] S503. When the abnormal mileage is greater than the first preset mileage but less than the second preset mileage, the roadbed is in a state of detachment.

[0106] In a specific embodiment of the present invention, the second preset mileage is the distance of 10 to 15 measuring points.

[0107] S504. When the abnormal mileage is greater than the second preset mileage, the road experiences non-uniform settlement.

[0108] In a specific embodiment of the present invention, when there is non-uniform settlement on the road, the abnormal mileage is the distance of 20 to 30 measuring points.

[0109] This invention utilizes the characteristic that abnormal pavement damage, roadbed voiding, and uneven settlement occur at different ranges to achieve rapid and accurate monitoring of these three abnormal states.

[0110] Since similar mileage indicators to those described above can occur when speed bumps or other road conditions exist, to further improve the accuracy of condition monitoring, in some embodiments of the present invention, such as... Figure 6 As shown, the road health status monitoring method based on dynamic road patterns also includes:

[0111] S601, Determine the abnormal state energy of the abnormal mileage;

[0112] S602. When the abnormal state energy is less than the first energy value, there is abnormal road surface damage.

[0113] S603. When the sum of abnormal state energy is greater than the first energy value but less than the second energy value, the roadbed is in a state of voiding.

[0114] S604. When the sum of the abnormal state energy values ​​is greater than the second energy value, the road experiences non-uniform settlement.

[0115] It should be noted that both the first and second energy values ​​need to be calibrated based on the baseline dynamic pattern, and no specific limitations are made here.

[0116] In practical applications, steps S501~S504 and S601~S604 can be combined to judge abnormal pavement damage, roadbed voids and uneven settlement, so as to improve the accuracy of the judgment results.

[0117] Since both dynamic road patterns and baseline dynamic road patterns are intuitive curves, in order to intuitively and quickly monitor road health status, in some embodiments of the present invention, such as... Figure 7 As shown, the road health status monitoring method based on dynamic road patterns also includes:

[0118] S701. Determine the abnormal distribution shape of abnormal mileage.

[0119] In a specific embodiment of the present invention, abnormal distribution shapes can be identified based on a pre-trained shape recognition model. Specifically, abnormal mileage is input into the shape recognition model to obtain abnormal distribution shapes.

[0120] S702. When the abnormal distribution shape is a peak-shaped bulge, there is a roadbed void.

[0121] S703. When the abnormal distribution shape is a hill-like uplift, the road experiences non-uniform settlement.

[0122] This invention, through shape recognition, can quickly determine the results of road health status monitoring, improving the intuitiveness and efficiency of result judgment.

[0123] In a specific embodiment of the present invention Figure 8 This describes the abnormal distribution shape of the roadbed void zone when roadbed void exists. Figure 9 To compare the anomalous distribution shape of the non-uniform settlement zone when non-uniform settlement exists. Figure 8 and Figure 9 It can be concluded that the measurement points in the non-uniform settlement zone have a wider coverage area, but their peak energy is less than that in the roadbed void zone.

[0124] In practical applications, the area of ​​abnormal road surface damage is relatively small, while the road may contain speed bumps or gaps between road blocks. The aforementioned identification method may misidentify these two situations as abnormal road surface damage. To solve this technical problem, in some embodiments of the present invention, the dynamic road pattern includes a first dynamic road pattern and a second dynamic road pattern corresponding to the lane, and the reference dynamic road pattern includes a first reference dynamic road pattern and a second reference dynamic road pattern corresponding to the lane.

[0125] For example, a road has two lanes, each with a baseline dynamic road pattern and a dynamic road pattern. When an anomaly occurs at the same mileage position in both lanes, it indicates that the anomaly area is large and does not match the characteristics of abnormal road surface damage. In this case, abnormal road surface damage can be ruled out. Based on this characteristic, in some embodiments of the present invention, such as... Figure 10 As shown, the road health status monitoring method based on dynamic road patterns also includes:

[0126] S1001. Determine the first abnormal region of the first dynamic pattern based on the first reference dynamic pattern, and determine the second abnormal region of the second dynamic pattern based on the second reference dynamic pattern.

[0127] S1002. Determine whether the mileage difference between the first abnormal area and the second abnormal area is within the preset mileage difference range;

[0128] S1003. If not, then there is no abnormal road surface damage.

[0129] This invention further verifies abnormal road surface damage by measuring the abnormal occurrence range in the lane direction perpendicular to the mileage direction. By utilizing the characteristic that abnormal road surface damage occurs in a small area, it avoids misidentifying other situations as abnormal road surface damage, thereby further improving the monitoring accuracy of abnormal road surface damage.

[0130] It should be understood that if the mileage difference between the first abnormal area and the second abnormal area is within the preset mileage difference range, the health status is judged based on the judgment method in the aforementioned embodiment.

[0131] In summary, the road health status monitoring method based on dynamic road patterns proposed in this embodiment of the invention, which uses a grating array state response characterization model for road pattern health status evaluation, considers the overall structural characteristics of the road segment, improves the correlation between dynamic road patterns and road segment health status, and thus achieves the goal of accurately monitoring the road segment health status based on dynamic road patterns, improving the comprehensiveness, accuracy, and real-time performance of road pattern monitoring.

[0132] On the other hand, embodiments of the present invention also provide a road health status monitoring system based on dynamic pavement patterns, such as... Figure 11 As shown, the road health status monitoring system 1100 based on dynamic pavement patterns includes:

[0133] The grating array sensing optical cable 1101 is used to construct a grating array sensing network and acquire the initial dynamic road pattern of the road under vehicle excitation.

[0134] The dynamic road pattern construction module 1102 is used to obtain the reference dynamic road pattern of the road under the reference state, and to normalize the initial dynamic road pattern based on the reference dynamic road pattern to obtain the dynamic road pattern; the dynamic road pattern is a curve that changes along the road mileage position and represents the state response change of the structure under the excitation of traffic vehicles.

[0135] The road monitoring module 1103 is used to determine whether there are abnormal road surface damage, roadbed voids and non-uniform settlement based on dynamic road patterns.

[0136] The road health status monitoring system 1100 based on dynamic road pattern provided in the above embodiments can realize the technical solutions described in the above embodiments of the road health status monitoring method based on dynamic road pattern. The specific implementation principles of each module or unit can be found in the corresponding content in the above embodiments of the road health status monitoring method based on dynamic road pattern, which will not be repeated here.

[0137] like Figure 12As shown, the present invention also provides a road monitoring device 1200. The road monitoring device 1200 includes a processor 1201, a memory 1202, and a display 1203. Figure 12 Only some components of the road monitoring device 1200 are shown; however, it should be understood that implementation of all shown components is not required, and more or fewer components may be implemented instead.

[0138] In some embodiments, processor 1201 may be a central processing unit (CPU), a microprocessor, or other data processing chip, used to run program code stored in memory 1202 or process data, such as the insoluble anode nickel electrowinning yield control method of the present invention.

[0139] In some embodiments, the memory 1202 may be an internal storage unit of the road monitoring device 1200, such as a hard disk or memory of the road monitoring device 1200. In other embodiments, the memory 1202 may also be an external storage device of the road monitoring device 1200, such as a pluggable hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the road monitoring device 1200.

[0140] Furthermore, the memory 1202 may include both internal storage units of the road monitoring device 1200 and external storage devices. The memory 1202 is used to store application software and various types of data installed on the road monitoring device 1200.

[0141] In some embodiments, display 1203 may be an LED display, a liquid crystal display, a touch-screen liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen. Display 1203 is used to display information from the road monitoring device 1200 and to display a visual user interface. Components 1201-1203 of the road monitoring device 1200 communicate with each other via a system bus.

[0142] In some embodiments of the present invention, when the processor 1201 executes the road health status monitoring program based on dynamic road patterns in the memory 1202, the following steps can be implemented:

[0143] The initial dynamic road pattern of the road under vehicle excitation is obtained based on the grating array sensor network in the road segment;

[0144] The baseline dynamic road pattern of the road under the baseline state is obtained. The initial dynamic road pattern is normalized based on the baseline dynamic road pattern to obtain the dynamic road pattern. The dynamic road pattern is a curve that changes along the road mileage position and represents the state response change of the structure under the excitation of traffic vehicles.

[0145] Based on dynamic road patterns and baseline dynamic road patterns, it is determined whether there are abnormal road surface damage, roadbed voids, and non-uniform settlement.

[0146] It should be understood that when the processor 1201 executes the insoluble anode nickel electrowinning production control program in the memory 1202, in addition to the functions mentioned above, it can also perform other functions, as can be found in the description of the corresponding method embodiments above.

[0147] In this embodiment of the invention, the road monitoring device 1200 can be a portable device such as a tablet computer, personal digital assistant (PDA), wearable device, or laptop computer. Exemplary embodiments of portable devices include, but are not limited to, portable devices running iOS, Android, Microsoft, or other operating systems. It should also be understood that in some other embodiments of the invention, the road monitoring device 1200 may not be a portable device, but rather a desktop computer with a touch-sensitive surface (e.g., a touch panel).

[0148] Those skilled in the art will understand that all or part of the processes of the methods described in the above embodiments can be implemented by a computer program instructing related hardware (such as a processor, controller, etc.), and the computer program can be stored in a computer-readable storage medium. The computer-readable storage medium may be a disk, optical disk, read-only memory, or random access memory, etc.

[0149] The present invention provides a detailed description of a road health status monitoring method, system, and device based on dynamic road patterns. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. At the same time, those skilled in the art will recognize that there will be changes in the specific implementation methods and application scope based on the ideas of the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A method for monitoring road health status based on dynamic road patterns, characterized in that, include: The initial dynamic road pattern of the road under vehicle excitation is obtained based on the grating array sensor network in the road segment; Obtain the baseline dynamic road pattern of the road under the baseline state, and normalize the initial dynamic road pattern based on the baseline dynamic road pattern to obtain the dynamic road pattern. The dynamic road pattern is a curve that changes along the road mileage and represents the state response change of the structure under the excitation of traffic vehicles. Based on the dynamic road pattern and the baseline dynamic road pattern, determine whether the road has abnormal pavement damage, roadbed voids, or uneven settlement; The dynamic road pattern includes a first dynamic road pattern and a second dynamic road pattern corresponding to the lane, and the reference dynamic road pattern includes a first reference dynamic road pattern and a second reference dynamic road pattern corresponding to the lane. The method further includes: Based on the first reference dynamic path pattern, a first abnormal region of the first dynamic path pattern is determined, and based on the second reference dynamic path pattern, a second abnormal region of the second dynamic path pattern is determined. Determine whether the mileage difference between the first abnormal region and the second abnormal region is within a preset mileage difference range; If not, then the road does not have any abnormal road surface damage.

2. The road health status monitoring method based on dynamic road pattern according to claim 1, characterized in that, The initial dynamic road pattern of the road under vehicle excitation is obtained by the grating array sensor network in the road segment, including: The dynamic state response of the road under vehicle excitation within a preset time period is obtained based on the grating array sensor network in the road segment. The dynamic state response includes multiple acquisition time state responses that correspond one-to-one with multiple acquisition times of the grating array sensor network. The acquisition time state response includes acquisition time state sub-responses that correspond one-to-one with multiple measurement points. Based on the state sub-response at the acquisition time, the sum of the state response energies of each of the measurement points at the plurality of acquisition times is determined, and the ratio of the sum of the state response energies to the total number of the plurality of acquisition times is used as the representative state response energy of each of the measurement points. A dynamic response curve is plotted with the mileage location of the road as the horizontal axis and the representative state response energy as the vertical axis. The dynamic response curve is the initial dynamic road pattern.

3. The road health status monitoring method based on dynamic road pattern according to claim 2, characterized in that, The reference dynamic pattern includes multiple reference state energy averages that correspond one-to-one with the multiple measuring points; The step of normalizing the initial dynamic pattern based on the reference dynamic pattern to obtain the dynamic pattern includes: Determine the energy ratio between the representative state response energy and the average baseline state energy at each measurement point, and use the energy ratio as a normalization coefficient; The initial dynamic pattern is normalized based on the normalization coefficient to obtain the dynamic pattern.

4. The road health status monitoring method based on dynamic road pattern according to claim 3, characterized in that, The step of normalizing the initial dynamic pattern based on the normalization coefficient to obtain the dynamic pattern includes: The median of the normalization coefficients of the plurality of measurement points is determined based on the normalization coefficients of each of the measurement points; The median is multiplied by the representative state response energy of each measuring point in the initial dynamic pattern to obtain the corrected state response energy of each measuring point. The corrected state response energies of the multiple measuring points constitute the dynamic pattern.

5. The road health status monitoring method based on dynamic road pattern according to claim 1, characterized in that, The determination of whether the road has abnormal pavement damage, roadbed voids, and non-uniform settlement based on the dynamic pavement pattern and the reference dynamic pavement pattern includes: The abnormal mileage of the dynamic road pattern is determined based on the benchmark dynamic road pattern; When the abnormal mileage is less than the first preset mileage, the road has abnormal road surface damage; When the abnormal mileage is greater than the first preset mileage but less than the second preset mileage, the roadbed is detached. When the abnormal mileage is greater than the second preset mileage, the road experiences non-uniform settlement.

6. The road health status monitoring method based on dynamic road pattern according to claim 5, characterized in that, The method further includes: Determine the abnormal state energy of the abnormal mileage; When the sum of the abnormal state energy is less than the first energy value, the road has abnormal road surface damage; When the sum of the abnormal state energy is greater than the first energy value and less than the second energy value, the roadbed is detached. When the sum of the abnormal state energy values ​​is greater than the second energy value, the road experiences non-uniform settlement.

7. The road health status monitoring method based on dynamic pavement pattern according to claim 5, characterized in that, The method further includes: Determine the abnormal distribution shape of the abnormal mileage; When the abnormal distribution shape is a peak-shaped bulge, the road has roadbed voids; When the abnormal distribution shape is a mound-like ridge, the road experiences non-uniform settlement.

8. A road health status monitoring system based on dynamic road pattern, characterized in that, The road health status monitoring method based on dynamic pavement pattern according to any one of claims 1-7, the system comprising: A grating array sensing optical cable is used to construct a grating array sensing network and acquire the initial dynamic road pattern of the road under vehicle excitation. The dynamic road pattern construction module is used to obtain the baseline dynamic road pattern of the road under the baseline state, and to normalize the initial dynamic road pattern based on the baseline dynamic road pattern to obtain the dynamic road pattern; the dynamic road pattern is a state response curve that changes along the road mileage position and represents the structure under the excitation of traffic vehicles. The road monitoring module is used to determine whether there are abnormal road surface damage, roadbed voids, and non-uniform settlements on the road based on the dynamic road pattern.

9. A road monitoring device, characterized in that, Including memory and processor, among which, The memory is used to store programs; The processor, coupled to the memory, is used to execute the program stored in the memory to implement the steps in the road health status monitoring method based on dynamic road patterns as described in any one of claims 1 to 7.

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