Road maintenance inspection analysis early warning method and system

Abstract

The invention relates to the field of road detection management, in particular to a road maintenance polling analysis early warning method and system, and the method comprises the steps: determining all abnormal driving intervals of a global line of a road based on dynamic detection data of a ground polling process of the road; determining all form abnormal intervals of the global line of the highway based on visual detection data of the aerial inspection process of the highway; based on the driving abnormal interval and the form abnormal interval, estimating structural degradation interval distribution information, and generating a disease early warning map of the road in combination with external environment characteristics of the area where the road is located; and in combination with the driving state characteristics of the road, the prejudgment information of the master generation of the road is estimated, so that the change operation of the electronic map terminal is carried out. According to the method, global disease occurrence distribution early warning can be performed by combining the influence data of the highway pavement on driving and the highway pavement structure state data, structural accidents possibly occurring on the highway can be predicted, driving guide information can be changed in time, and the reliability of highway maintenance inspection is improved.

Description

Technical Field

[0001] The present invention relates to the field of highway detection management, and in particular to a highway maintenance inspection analysis and early warning method and system. Background Art

[0002] Highway maintenance, especially expressway maintenance, plays an important role in maintaining the continuous and normal operation of roads. Highways are affected by various external factors in daily operation, such as traffic volume, weather, geological structure, etc. The effects of the above external factors have great uncertainty in time and space. Direct detection and analysis of the above external factors can obtain data on the actual effects on the highway, but these data are large in volume and require a lot of time and manpower costs to analyze and process, and cannot be used to timely and accurately predict potential structural safety hazards of highways.

[0003] In actual highway maintenance inspections, the real-life data of the road surface will be obtained through field inspections, and the actual damage to the road surface will be determined by analyzing the real-life data. The above method is usually suitable for roads with low traffic volume. For roads with large traffic volume, repeated field inspections of the highway not only occupy highway driving resources and affect the normal driving of other vehicles, but may also be unable to fully obtain the actual situation of the highway road surface due to interference and obstruction by other vehicles, reducing the credibility of the real-life data of the road surface. In addition, the above field inspection method can only detect the existing road surface damage on the highway, and cannot accurately predict the possible damage to the highway in the future, and cannot provide timely warning and visualization of the overall route of the highway. It can be seen that how to make full use of the road surface impact data on driving and the road surface structure status data to realize the early warning of the occurrence and distribution of highway diseases is necessary for accurately discovering structural accidents on the highway and timely changing driving guidance information to avoid accidents and further deterioration of the road surface condition. Summary of the invention

[0004] In order to avoid frequent and repeated on-site inspections of highways that affect normal road driving, the present invention provides a highway maintenance inspection analysis and early warning method, which includes the following steps: Acquire and analyze dynamic detection data of the road's ground inspection process to determine all driving abnormal sections of the road's global route; acquire and analyze visual detection data of the road's aerial inspection process to determine all morphological abnormal sections of the road's global route; Based on the abnormal driving interval and the abnormal morphology interval, estimate the structural degradation interval distribution information of the global route of the highway; based on the structural degradation interval distribution information and the external environment characteristics of the area where the highway is located, generate a disease warning map of the highway; Based on the disease warning map and the driving status characteristics of the highway, the accident prediction information of the highway is estimated; based on the accident prediction information, the electronic map end is changed.

[0005] Preferably, the acquisition and analysis of dynamic detection data of the ground inspection process of the highway to determine all abnormal driving sections of the global route of the highway is specifically as follows: Monitoring a ground inspection device traveling on a highway to obtain dynamic detection data of the ground inspection device during the driving process; wherein the dynamic detection data includes vibration detection data and posture detection data of the ground inspection device during the driving process; the vibration detection data includes corresponding data between the vibration amplitude and direction of the ground inspection device during the driving process and the driving position; the posture detection data includes corresponding data between the posture angle of the ground inspection device during the driving process and the driving position; The dynamic detection data is analyzed for airspace changes in the global route of the highway to obtain the vibration impact effect on each driving position of the ground inspection equipment during the driving process; based on the vibration impact effect, all driving abnormal sections of the global route of the highway are determined.

[0006] Preferably, the acquisition and analysis of visual inspection data of the aerial inspection process of the highway to determine all abnormal morphological intervals of the global route of the highway is specifically as follows: Monitoring the aerial inspection equipment flying over the highway to obtain visual inspection data of the aerial inspection equipment during the flight; wherein the visual inspection data includes image data of the highway pavement and its roadbed slope collected by the aerial inspection equipment during the flight; Perform image contour recognition on the visual detection data to obtain the pavement morphology contour and the roadbed slope morphology contour of each position point of the global highway route; based on the pavement morphology contour and the roadbed slope morphology contour of each position point, determine the contour difference characteristics of the pavement morphology and the path slope morphology at each position point; based on the contour difference characteristics, determine all morphological abnormality intervals of the global highway route.

[0007] Preferably, the estimation of the structural degradation interval distribution information of the global highway route based on the abnormal driving interval and the abnormal morphology interval; and the generation of the highway disease warning map based on the structural degradation interval distribution information and the external environment characteristics of the highway area are specifically as follows: Based on the distribution positions of all driving abnormality intervals and all morphological abnormality intervals on the global highway route, determine the relative position relationship between the driving abnormality intervals and the morphological abnormality intervals of the global highway route; based on the relative position relationship, estimate the structural degradation interval distribution information of the global highway route; Based on the structural degradation interval distribution information and the environmental precipitation distribution characteristics of the area where the highway is located, the precipitation erosion and penetration characteristics of each structural degradation interval are determined; based on the precipitation erosion and penetration characteristics, a disease warning map of the highway is generated; wherein the disease warning map includes the distribution information of location points where road surface damage may occur on the global route of the highway.

[0008] Preferably, the estimating the accident prediction information of the highway based on the disease warning map and the driving status characteristics of the highway; and performing the change operation on the electronic map end based on the accident prediction information are specifically as follows: Based on the traffic flow big data of the highway, the traffic state characteristics of the global route of the highway are estimated; wherein the traffic state characteristics refer to the traffic flow rate of each unit grid area in the road surface of the global route of the highway; based on the traffic state characteristics, the disease warning map is analyzed for time evolution, and the accident prediction information of the highway is estimated; wherein the accident prediction information refers to the location and time information of the collapse accident of the highway; Based on the accident prediction information, visual changes and character markings are performed on the electronic map of the electronic map end, and then based on the query request received by the electronic map end, the electronic map is distributed to the corresponding user end.

[0009] In another aspect, the present invention provides a highway maintenance inspection analysis and early warning system, the system comprising the following modules: A ground inspection analysis module is used to obtain and analyze dynamic detection data of the ground inspection process of the highway, and determine all abnormal driving sections of the global route of the highway; An aerial inspection analysis module is used to obtain and analyze visual inspection data of the aerial inspection process of the highway, and determine all morphological abnormal intervals of the global route of the highway; A highway structure degradation identification module, used for estimating the structural degradation interval distribution information of the global route of the highway based on the abnormal driving interval and the abnormal morphology interval; An early warning map generation module is used to generate a disease early warning map of the highway based on the structural degradation interval distribution information and the external environmental characteristics of the area where the highway is located; An accident prediction module, used to estimate accident prediction information of the highway based on the disease warning map and the driving status characteristics of the highway; The electronic map processing module is used to perform a change operation on the electronic map end based on the accident prediction information.

[0010] Preferably, the ground inspection analysis module is used to obtain and analyze dynamic detection data of the ground inspection process of the highway, and determine all driving abnormal sections of the global route of the highway, specifically: Monitoring a ground inspection device traveling on a highway to obtain dynamic detection data of the ground inspection device during the driving process; wherein the dynamic detection data includes vibration detection data and posture detection data of the ground inspection device during the driving process; the vibration detection data includes corresponding data between the vibration amplitude and direction of the ground inspection device during the driving process and the driving position; the posture detection data includes corresponding data between the posture angle of the ground inspection device during the driving process and the driving position; The dynamic detection data is analyzed for airspace changes in the global route of the highway to obtain the vibration impact effect on each driving position of the ground inspection equipment during the driving process; based on the vibration impact effect, all driving abnormal sections of the global route of the highway are determined.

[0011] Preferably, the aerial inspection analysis module is used to obtain and analyze visual inspection data of the aerial inspection process of the highway, and determine all morphological abnormal intervals of the global route of the highway, specifically: Monitoring the aerial inspection equipment flying over the highway to obtain visual inspection data of the aerial inspection equipment during the flight; wherein the visual inspection data includes image data of the highway pavement and its roadbed slope collected by the aerial inspection equipment during the flight; Perform image contour recognition on the visual detection data to obtain the pavement morphology contour and the roadbed slope morphology contour of each position point of the global highway route; based on the pavement morphology contour and the roadbed slope morphology contour of each position point, determine the contour difference characteristics of the pavement morphology and the path slope morphology at each position point; based on the contour difference characteristics, determine all morphological abnormality intervals of the global highway route.

[0012] Preferably, the highway structure degradation identification module is used to estimate the structural degradation interval distribution information of the global highway route based on the abnormal driving interval and the abnormal morphology interval, specifically: Based on the distribution positions of all driving abnormality intervals and all morphological abnormality intervals on the global highway route, determine the relative position relationship between the driving abnormality intervals and the morphological abnormality intervals of the global highway route; based on the relative position relationship, estimate the structural degradation interval distribution information of the global highway route; The warning map generation module is used to generate a disease warning map of the highway based on the structural degradation interval distribution information and the external environmental characteristics of the area where the highway is located, specifically: Based on the structural degradation interval distribution information and the environmental precipitation distribution characteristics of the area where the highway is located, the precipitation erosion and penetration characteristics of each structural degradation interval are determined; based on the precipitation erosion and penetration characteristics, a disease warning map of the highway is generated; wherein the disease warning map includes the distribution information of location points where road surface damage may occur on the global route of the highway.

[0013] Preferably, the accident occurrence prediction module is used to estimate the accident occurrence prediction information of the highway based on the disease warning map and the driving state characteristics of the highway, specifically: Based on the traffic flow big data of the highway, the traffic state characteristics of the global route of the highway are estimated; wherein the traffic state characteristics refer to the traffic flow rate of each unit grid area in the road surface of the global route of the highway; based on the traffic state characteristics, the disease warning map is analyzed for time evolution, and the accident prediction information of the highway is estimated; wherein the accident prediction information refers to the location and time information of the collapse accident of the highway; The electronic map processing module is used to perform an electronic map end change operation based on the accident prediction information, specifically: Based on the accident prediction information, visual changes and character markings are performed on the electronic map of the electronic map end, and then based on the query request received by the electronic map end, the electronic map is distributed to the corresponding user end.

[0014] Compared with the prior art, the present invention has the following beneficial effects: The dynamic detection data of the highway ground inspection process is obtained and analyzed to determine all driving abnormal sections of the global highway route; the visual detection data of the highway aerial inspection process is obtained and analyzed to determine all morphological abnormal sections of the global highway route. According to the correlation between the bumps and shakes generated by the ground inspection equipment during the ground inspection of the highway and the hidden defects of the highway pavement, by analyzing the vibration action data and posture change data of the ground inspection equipment during driving, the area where potential hidden defects may exist in the highway pavement can be accurately located first, and only one ground inspection of the highway pavement is required to obtain comprehensive location data of the potential hidden defects, providing support for subsequent predictions of possible structural diseases on the highway pavement, without the need for repeated ground inspections of the highway pavement, reducing the workload and cost of ground inspections, and preventing the impact on normal highway driving. The vibration detection data and attitude detection data included in the dynamic detection data are analyzed for spatial changes, and the vibration impact of each driving position of the ground inspection equipment during the driving process along the global line of the highway is obtained, so as to determine the existence of hidden defects at the corresponding position, and determine the interval composed of all positions with hidden defects as the driving abnormality interval, so that all driving abnormality intervals existing in the global line of the highway can be fully identified and located. When there is a possibility of collapse of the highway, the settlement speed of the highway pavement and the highway subgrade is different, so that the topographic contours of the highway pavement and the highway subgrade are not continuously connected but are dislocated. By analyzing the relative position relationship of the topographic contours of the highway pavement and the highway subgrade, it is possible to identify and predict whether the topographic contour dislocation has occurred between the highway pavement and the highway subgrade, and to fully identify and locate all morphological abnormality intervals existing in the global line of the highway, providing a basis for the subsequent identification of the structural degradation interval of the global line of the highway.

[0015] Based on the driving abnormal intervals and morphological abnormal intervals, the structural degradation interval distribution information of the global highway route is estimated; based on the structural degradation interval distribution information and the external environmental characteristics of the highway area, the highway disease warning map is generated. The relative position relationship between the driving abnormal intervals and the morphological abnormal intervals on the global highway route determines the structural degradation trend of different positions of the global highway route; based on the relative position relationship between the driving abnormal intervals and the morphological abnormal intervals of the global highway route, the structural degradation interval distribution information of the global highway route is obtained, providing reliable interval positioning data for the subsequent construction of the disease warning map of the global highway route. Under the action of rainwater scouring and infiltration, the structure will become loose, causing the corresponding interval to develop road damage and other diseases. The structural degradation interval distribution information is compared with the environmental precipitation distribution characteristics of the highway area in the airspace to generate a disease warning map for the global highway route, providing a global reference for the subsequent identification of the location and time of collapse accidents in the global highway route.

[0016] Based on the damage warning map and the driving state characteristics of the highway, the accident prediction information of the highway is estimated; based on the accident prediction information, the electronic map end is changed. The traffic flow state of the global highway line affects whether the location point where the road surface damage may occur on the damage warning map will actually cause a road collapse accident and the time when the road collapse accident actually occurs. Based on the traffic flow rate, the damage warning map is analyzed for time evolution, and the changes in the vehicle driving rolling force of each location point where the road surface damage may occur in the above-mentioned damage warning map in the future time period are determined. It is determined when each location point where the road surface damage may occur reaches the limit state of vehicle driving rolling force, so as to estimate the location and time information of the highway collapse accident. Based on the location and time information of the highway collapse accident, the color visual change and text character addition mark of the location point where the collapse accident occurred on the electronic map end are performed, so that the electronic map can intuitively and accurately display the location of the collapse accident, ensuring that the user end obtains the change of driving guidance information in time. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them: Figure 1 The present invention provides a flow chart of a highway maintenance inspection analysis and early warning method.

[0018] Figure 2 It is a structural diagram of a highway maintenance inspection analysis and early warning system provided by the present invention. DETAILED DESCRIPTION

[0019] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings. It is understood that the specific embodiments described herein are only used to explain the present invention, rather than to limit the present invention. It should also be noted that, for ease of description, only the parts related to the present invention rather than all structures are shown in the accompanying drawings. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0020] The terms "including" and "having" and any variations thereof in the present invention are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products or devices.

[0021] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0022] See also Figure 1 As shown, the present invention provides a highway maintenance inspection analysis and early warning method, the method comprising the following steps: S100, obtaining and analyzing dynamic detection data of the ground inspection process of the highway to determine all abnormal driving intervals of the global highway line; obtaining and analyzing visual detection data of the aerial inspection process of the highway to determine all abnormal morphological intervals of the global highway line.

[0023] Furthermore, the dynamic detection data of the ground inspection process of the highway is obtained and analyzed to determine all the abnormal driving intervals of the global highway route, specifically: Monitor the ground inspection equipment traveling on the highway to obtain dynamic detection data of the ground inspection equipment during the driving process; the dynamic detection data includes vibration detection data and posture detection data of the ground inspection equipment during the driving process; the vibration detection data includes the corresponding data between the vibration amplitude and direction of the ground inspection equipment during the driving process and the driving position; the posture detection data includes the corresponding data between the posture angle of the ground inspection equipment during the driving process and the driving position; The dynamic detection data is analyzed for airspace changes on the global highway route to obtain the vibration impact effect on the ground inspection equipment at each driving position during the driving process; based on the vibration impact effect, all driving abnormal sections of the global highway route are determined.

[0024] Roads, especially highways, are paved with asphalt materials. Asphalt materials have good elastic deformation and ductility, and can effectively absorb the impact of vehicles driving on the road. However, asphalt pavement will inevitably undergo irreversible deformations such as bulging or hollowing after being subjected to external forces such as vehicle rolling and rain erosion for a long time. The occurrence of bulging or hollowing on asphalt pavement is a slow process, and structural defects such as bulging or hollowing cannot be accurately identified visually in the initial stage. Structural defects such as bulging or hollowing on asphalt pavement will affect the smoothness of the road surface. When a vehicle passes through the road surface area where the above structural defects are located, the vehicle will inevitably bump. The higher the vehicle speed, the stronger the vehicle bump state. The bumping of the vehicle will in turn exert force on the above structural defects, causing the above structural defects to further deteriorate, thereby forming damage defects such as potholes or collapse in the road surface at some point in the future. It can be seen that some potential hidden defects of the road surface cannot be reflected at the visual level in the initial stage, but will affect the normal driving of the vehicle, causing the vehicle to be unable to drive smoothly on the road; and the above potential hidden defects will become substantial diseases of the road surface under the action of long-term vehicle rolling.

[0025] Through the above analysis, it can be seen that structural defects such as bulges or hollows on the road surface are highly concealed. Conventional visual acquisition and recognition cannot accurately locate the above structural defects, nor can they fully judge the severity of the above structural defects. In order to circumvent the limitations of the above visual acquisition and recognition on the above structural defects, in actual inspections, a comprehensive ground inspection of the road surface can be carried out during the idle period of the road (such as the early morning period when the road traffic volume is small) to obtain the actual driving comfort data of the road surface, providing a reliable basis for the subsequent determination of the intervals where potential hidden defects may exist on the road surface. Specifically, a special inspection vehicle can be used as a ground inspection equipment to travel along the global route of the highway, thereby conducting a full-scale inspection of the road surface; wherein the inner shell of the above inspection vehicle is provided with multiple vibration motion sensors and multiple posture sensors, which are used to detect the movement and posture change data of the inspection vehicle itself during the road surface driving process. Generally speaking, when there are no potential hidden defects such as bulges or hollows on the road surface, the road surface has a high degree of smoothness, and inspection vehicles will not experience bumps and shaking when passing by; when there are potential hidden defects such as bulges or hollows on the road surface, the road surface will have large ups and downs in the corresponding area, and inspection vehicles will experience bumps and shaking when passing by; the greater the bumps and shakes when the inspection vehicle passes through a certain area of ​​the road surface, the more potential hidden defects such as bulges or hollows exist in the above-mentioned area, which means that the above-mentioned area will deteriorate earlier in the future and form road damage. According to the correlation between the bumps and shakes generated by the ground inspection equipment during the ground inspection of the highway and the hidden defects in the highway pavement, by analyzing the vibration motion data and posture change data of the ground inspection equipment during driving, the area where potential hidden defects in the highway pavement may exist can be accurately located first, and only one ground inspection of the highway pavement is required to fully obtain the location data of the potential hidden defects, providing support for subsequent predictions of possible structural diseases on the highway pavement, without the need for repeated ground inspections of the highway pavement, thereby reducing the workload and cost of ground inspections and preventing impacts on normal highway driving.

[0026] Specifically, when the ground inspection equipment traveling on the highway is monitored by means of vibration motion sensors and attitude sensors, vibration detection data and attitude detection data of the ground inspection equipment during its driving along the global route of the highway are obtained; and the vibration motion sensors and attitude sensors of the ground inspection equipment work synchronously with the positioning sensor. Whenever the vibration motion sensors and attitude sensors perform detection work to generate vibration detection data and attitude detection data, the positioning sensor will synchronously generate positioning data, and add the positioning data to the vibration detection data and attitude detection data, so that both the vibration detection data and the attitude detection data are positioned; wherein the positioning sensor is preferably a Beidou positioning sensor, which is convenient for realizing lane-level positioning of the ground inspection equipment during its driving on the highway. Through the above process, the vibration detection data obtained includes the corresponding data between the vibration amplitude and direction of the ground inspection equipment during the driving process and the driving position, and the posture detection data includes the corresponding data between the posture angle of the ground inspection equipment during the driving process and the driving position. This can ensure that the vibration detection data and the posture detection data fully reflect the driving status of the ground inspection equipment corresponding to each area on the highway surface when it passes through, so as to judge whether the ground inspection equipment is affected by the potential hidden defects of the highway surface during driving, so as to accurately locate the potential hidden defects of the highway surface.

[0027] According to the above analysis, the number and size of potential hidden defects on the road surface directly affect the stability of the ground inspection equipment when it is driving. The more potential hidden defects there are or the larger the size is, the worse the stability of the ground inspection equipment when it is driving through the corresponding area is, and the greater the bump and shake amplitude is. For this reason, the vibration detection data and posture detection data contained in the above dynamic detection data are analyzed in the airspace change to obtain the vibration impact effect on each driving position of the ground inspection equipment during the driving process along the global route of the highway; the above vibration impact effect can be but not limited to the reverse force applied by the road surface to the ground inspection equipment when the ground inspection equipment drives to a certain position on the road surface and shakes. Based on the magnitude of the above vibration force, all driving abnormal intervals of the global route of the highway are determined (i.e., intervals where potential hidden defects such as bulges or hollows exist on the road surface); generally speaking, the above vibration force is compared with the threshold value, and if the above vibration force exceeds the preset force threshold, it is determined that the corresponding position has a hidden defect, and the interval composed of all positions with hidden defects is determined as the driving abnormal interval, so that all driving abnormal intervals existing in the global route of the highway can be fully identified and located.

[0028] Furthermore, the visual inspection data of the aerial inspection process of the highway is obtained and analyzed to determine all the abnormal morphological intervals of the global highway line, specifically: Monitor the aerial inspection equipment flying over the highway to obtain visual inspection data of the aerial inspection equipment during the flight; the visual inspection data includes image data of the highway pavement and its roadbed slope collected by the aerial inspection equipment during the flight; Image contour recognition is performed on the visual detection data to obtain the pavement morphology contour and roadbed slope morphology contour of each position point on the global highway line; based on the pavement morphology contour and roadbed slope morphology contour of each position point, the contour difference characteristics of the pavement morphology and the path slope morphology at each position point are determined; based on the contour difference characteristics, all morphological abnormality intervals of the global highway line are determined.

[0029] The roadbed has a decisive influence on the structural state of the highway. When the roadbed is unstable or there is a risk of collapse, the road surface will have structural problems such as depression or landslide. Considering that the structural problems of the road surface caused by the instability of the roadbed are a slow process, through visual monitoring of the road surface and its roadbed, it is possible to predict the structural problems that may occur on the road surface, and provide a reliable basis for the subsequent identification of structural diseases of the highway line. In view of the large distribution range of the global highway line and its roadbed, in order to synchronously and comprehensively obtain the morphological data of the road surface and its roadbed, aerial inspection equipment such as drones are used to fly over the highway along the extension line of the highway, and synchronously shoot the road surface and its roadbed range during the flight to obtain visual inspection data, so that the visual inspection data includes image data of the road surface and its roadbed slope; the above image data can be but not limited to three-dimensional image data, so that the above image data accurately characterizes the three-dimensional morphological characteristics of the road surface and its roadbed slope.

[0030] When a highway is likely to collapse, the settlement speeds of the highway pavement and the highway subgrade are different, so that the topographic contours of the highway pavement and the highway subgrade are not continuously connected but are dislocated. By analyzing the relative position relationship of the topographic contours of the highway pavement and the highway subgrade, it is possible to identify and predict whether the topographic contours of the highway pavement and the highway subgrade have been dislocated. Specifically, pixel contour recognition is performed on the image data of the highway pavement and its subgrade slope collected above to obtain the pavement topographic contour and subgrade slope topographic contour of each position point of the global highway line; then the pavement topographic contour and the subgrade slope topographic contour of each position point are compared to obtain the contour dislocation displacement (i.e., contour difference feature) between the two topographic contours in three-dimensional space. If the above-mentioned contour misalignment displacement is greater than the preset displacement threshold and the above-mentioned contour misalignment displacement shows a gradually increasing trend, it is determined that the corresponding position point has a structural problem, and the interval composed of all position points with structural problems is determined as a morphological abnormality interval. In this way, all morphological abnormality intervals (i.e., intervals where structural problems such as sags or landslides may occur) existing in the global route of the located highway can be comprehensively identified and located, providing a basis for the subsequent identification of structural degradation intervals of the global route of the highway.

[0031] S200, estimating the structural degradation interval distribution information of the global highway line based on the driving abnormality interval and the morphological abnormality interval; generating a highway disease warning map based on the structural degradation interval distribution information and the external environment characteristics of the highway area.

[0032] Furthermore, based on the driving abnormality intervals and the morphological abnormality intervals, the structural degradation interval distribution information of the global highway line is estimated; based on the structural degradation interval distribution information and the external environmental characteristics of the highway area, a highway disease warning map is generated, specifically: Based on the distribution positions of all driving abnormality intervals and all morphological abnormality intervals on the global highway route, the relative position relationship between the driving abnormality intervals and the morphological abnormality intervals on the global highway route is determined; based on the relative position relationship, the structural degradation interval distribution information of the global highway route is estimated; Based on the distribution information of structural degradation intervals and the environmental precipitation distribution characteristics of the highway area, the precipitation erosion and infiltration characteristics of each structural degradation interval are determined; based on the precipitation erosion and infiltration characteristics, a highway disease warning map is generated; wherein the disease warning map includes the distribution information of location points where road surface damage may occur on the global highway line.

[0033] From the previous content, we can know that the driving abnormality interval and morphological abnormality interval of the global highway route are the intervals with potential hidden defects on the highway pavement and the intervals with contour dislocation between the pavement and the roadbed; both of the above two intervals may undergo structural degradation under the influence of the external environment and affect the normal driving of the highway. However, not all intervals will inevitably undergo structural degradation. The relative position relationship between the driving abnormality interval and the morphological abnormality interval on the global highway route determines the structural degradation trend of different positions of the global highway route. Generally speaking, if a certain range on the global highway route belongs to both the driving abnormality interval and the morphological abnormality interval, the probability of subsequent structural degradation of the corresponding range will increase significantly. For this reason, based on the relative position relationship between the driving abnormality interval and the morphological abnormality interval of the global highway route, the overlapping interval of the driving abnormality interval and the morphological abnormality interval on the global highway route is determined as the structural degradation interval of the global highway route, so as to obtain the structural degradation interval distribution information of the global highway route, and provide reliable interval positioning data for the subsequent construction of the disease warning map of the global highway route.

[0034] The asphalt pavement of the highway will become loose in structure under the action of rainwater scouring and infiltration. Especially for the structural degradation interval, rainwater scouring and infiltration will aggravate the structural collapse, thus causing the corresponding interval to develop road damage and other diseases. To this end, the environmental precipitation distribution characteristics of the area where the highway is located are first obtained (that is, the time and spatial distribution change characteristics of the environmental precipitation in the area where the global line of the highway is located), and the distribution information of the structural degradation interval is compared with the environmental precipitation distribution characteristics of the area where the highway is located in the airspace, and the average rainfall scouring force received by each structural degradation interval per unit time is determined, and the above average rainfall scouring force is compared with the threshold. If the above average rainfall scouring force exceeds the preset force threshold, all the position points in the corresponding structural degradation interval are determined as the position points where the road surface damage may occur, and combined with the spatial distribution information of all the position points where the road surface damage may occur, a disease warning map for the global line of the highway is generated, which provides a global reference for the subsequent identification of the location and time of the collapse accident in the global line of the highway.

[0035] S300, based on the disease warning map and the driving status characteristics of the highway, estimate the predicted information of the highway accident; based on the predicted information of the highway accident, perform the change operation on the electronic map side.

[0036] Furthermore, based on the disease warning map and the driving status characteristics of the highway, the prediction information of the accident occurrence of the highway is estimated; based on the prediction information of the accident occurrence, the change operation of the electronic map end is performed, specifically: Based on the traffic flow big data of highways, the traffic state characteristics of the global highway lines are estimated; the traffic state characteristics refer to the traffic flow rate of each unit grid area in the road surface of the global highway line; based on the traffic state characteristics, the disease warning map is analyzed for time evolution, and the accident prediction information of the highway is estimated; the accident prediction information refers to the location and time information of the highway collapse accident; Based on the accident prediction information, the electronic map on the electronic map end is visually changed and character marked, and then based on the query request received by the electronic map end, the electronic map is distributed to the corresponding user end.

[0037] According to the previous content, the disease warning map includes the distribution information of the locations where road damage may occur on the global highway route. If the road surface is under high traffic volume for a long time, the above-mentioned locations where road damage may occur will actually turn into road collapse accidents. It can be seen that the traffic flow status of the global highway route affects whether the locations where road damage may occur on the disease warning map will actually cause road collapse accidents and the time when the road collapse accidents actually occur. For this purpose, the traffic flow big data of the global highway route is obtained. The above-mentioned traffic flow big data may include but is not limited to the traffic flow big data of the global highway route at different times of the day and the traffic flow big data of each lane in the highway. The above-mentioned traffic flow big data is analyzed to obtain the traffic flow rate of each unit grid area in the road surface of the global highway route (that is, the number of vehicles passing through each grid area per unit time). Based on the above traffic flow rate, the time evolution analysis of the damage warning map is carried out to determine the changes in the vehicle running force at each location point where road damage may occur in the above warning map in the future time period, and judge when each location point where road damage may occur will reach the limit state of vehicle running force. In this way, the location and time information of the highway collapse accident is estimated, that is, whether the location point where road damage may occur will actually cause a collapse accident and the time when the collapse accident will actually occur.

[0038] In addition, when the location and time information of the collapse accident of the global highway route is predicted, in order to avoid further deterioration of the road surface structure at the corresponding location and prevent safety accidents caused by vehicles passing through the corresponding location, the electronic map of the electronic map end is visually changed in color and marked with text characters at the location point where the collapse accident occurred based on the location and time information of the highway collapse accident, so that the electronic map can intuitively and accurately display the location of the collapse accident. In addition, the query request received by the electronic map end is parsed and processed to determine the location of the road section area where the user end expects to query the map, so as to distribute the corresponding electronic map to the corresponding user end, ensuring that the user end obtains the changed driving guidance information in a timely manner.

[0039] See also Figure 2 As shown, the present invention provides a highway maintenance inspection analysis and early warning system, which includes the following modules: The ground inspection analysis module is used to obtain and analyze the dynamic detection data of the ground inspection process of the highway and determine all the abnormal driving sections of the global highway line; Aerial inspection analysis module, used to obtain and analyze visual inspection data of the aerial inspection process of the highway, and determine all abnormal morphological intervals of the global highway line; A highway structure degradation identification module is used to estimate the structural degradation interval distribution information of the global highway line based on the driving abnormality interval and the morphological abnormality interval; The early warning map generation module is used to generate a road disease early warning map based on the structural degradation interval distribution information and the external environmental characteristics of the area where the road is located; The accident prediction module is used to estimate the accident prediction information of the highway based on the disease warning map and the driving status characteristics of the highway; The electronic map processing module is used to perform changes on the electronic map side based on accident prediction information.

[0040] Furthermore, the ground inspection analysis module is used to obtain and analyze the dynamic detection data of the ground inspection process of the highway, and determine all driving abnormal sections of the global highway line, specifically: Monitor the ground inspection equipment traveling on the highway to obtain dynamic detection data of the ground inspection equipment during the driving process; the dynamic detection data includes vibration detection data and posture detection data of the ground inspection equipment during the driving process; the vibration detection data includes the corresponding data between the vibration amplitude and direction of the ground inspection equipment during the driving process and the driving position; the posture detection data includes the corresponding data between the posture angle of the ground inspection equipment during the driving process and the driving position; The dynamic detection data is analyzed for airspace changes on the global highway route to obtain the vibration impact effect on the ground inspection equipment at each driving position during the driving process; based on the vibration impact effect, all driving abnormal sections of the global highway route are determined.

[0041] Furthermore, the aerial inspection analysis module is used to obtain and analyze the visual inspection data of the aerial inspection process of the highway, and determine all the abnormal morphological intervals of the global highway line, specifically: Monitor the aerial inspection equipment flying over the highway to obtain visual inspection data of the aerial inspection equipment during the flight; the visual inspection data includes image data of the highway pavement and its roadbed slope collected by the aerial inspection equipment during the flight; Image contour recognition is performed on the visual detection data to obtain the pavement morphology contour and roadbed slope morphology contour of each position point on the global highway line; based on the pavement morphology contour and roadbed slope morphology contour of each position point, the contour difference characteristics of the pavement morphology and the path slope morphology at each position point are determined; based on the contour difference characteristics, all morphological abnormality intervals of the global highway line are determined.

[0042] Furthermore, the highway structure degradation identification module is used to estimate the structural degradation interval distribution information of the global highway line based on the driving abnormality interval and the morphological abnormality interval, specifically: Based on the distribution positions of all driving abnormality intervals and all morphological abnormality intervals on the global highway route, the relative position relationship between the driving abnormality intervals and the morphological abnormality intervals on the global highway route is determined; based on the relative position relationship, the structural degradation interval distribution information of the global highway route is estimated; The early warning map generation module is used to generate a road disease early warning map based on the structural degradation interval distribution information and the external environmental characteristics of the road area. Specifically: Based on the distribution information of structural degradation intervals and the environmental precipitation distribution characteristics of the highway area, the precipitation erosion and infiltration characteristics of each structural degradation interval are determined; based on the precipitation erosion and infiltration characteristics, a highway disease warning map is generated; wherein the disease warning map includes the distribution information of location points where road surface damage may occur on the global highway line.

[0043] Furthermore, the accident prediction module is used to estimate the accident prediction information of the highway based on the disease warning map and the driving status characteristics of the highway, specifically: Based on the traffic flow big data of highways, the traffic state characteristics of the global highway lines are estimated; the traffic state characteristics refer to the traffic flow rate of each unit grid area in the road surface of the global highway line; based on the traffic state characteristics, the disease warning map is analyzed for time evolution, and the accident prediction information of the highway is estimated; the accident prediction information refers to the location and time information of the highway collapse accident; The electronic map processing module is used to perform changes to the electronic map based on the accident prediction information, specifically: Based on the accident prediction information, the electronic map on the electronic map end is visually changed and character marked, and then based on the query request received by the electronic map end, the electronic map is distributed to the corresponding user end.

[0044] The operation and effects of the highway maintenance inspection analysis and early warning system of the present invention correspond to and are consistent with the above-mentioned highway maintenance inspection analysis and early warning method, and the highway maintenance inspection analysis and early warning system will not be described repeatedly here.

[0045] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by adding a necessary general hardware platform, and of course can also be implemented by combining hardware and software. Based on such an understanding, the above technical solution can essentially or in other words be embodied in the form of a computer product, and the present invention can be implemented in the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0046] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it, and other embodiments may also be used. Although the present invention has been described in detail with reference to the aforementioned embodiments, ordinary technicians in this field should understand that they can still modify the technical solutions recorded in the aforementioned embodiments, or replace some of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A highway maintenance inspection analysis and early warning method, characterized in that: The method comprises the following steps: Acquire and analyze dynamic detection data of the road's ground inspection process to determine all driving abnormal sections of the road's global route; acquire and analyze visual detection data of the road's aerial inspection process to determine all morphological abnormal sections of the road's global route; Based on the abnormal driving interval and the abnormal morphology interval, estimate the structural degradation interval distribution information of the global route of the highway; based on the structural degradation interval distribution information and the external environment characteristics of the area where the highway is located, generate a disease warning map of the highway; Based on the disease warning map and the driving status characteristics of the highway, the accident prediction information of the highway is estimated; based on the accident prediction information, the electronic map end is changed.

2. The method according to claim 1, characterized in that The acquisition and analysis of dynamic detection data of the ground inspection process of the highway to determine all abnormal driving sections of the global route of the highway is specifically as follows: Monitoring a ground inspection device traveling on a highway to obtain dynamic detection data of the ground inspection device during the driving process; wherein the dynamic detection data includes vibration detection data and posture detection data of the ground inspection device during the driving process; the vibration detection data includes corresponding data between the vibration amplitude and direction of the ground inspection device during the driving process and the driving position; the posture detection data includes corresponding data between the posture angle of the ground inspection device during the driving process and the driving position; The dynamic detection data is analyzed for airspace changes in the global route of the highway to obtain the vibration impact effect on each driving position of the ground inspection equipment during the driving process; based on the vibration impact effect, all driving abnormal sections of the global route of the highway are determined.

3. The method according to claim 2, characterized in that The acquisition and analysis of visual inspection data of the aerial inspection process of the highway to determine all abnormal morphological intervals of the global route of the highway is specifically as follows: Monitoring the aerial inspection equipment flying over the highway to obtain visual inspection data of the aerial inspection equipment during the flight; wherein the visual inspection data includes image data of the highway pavement and its roadbed slope collected by the aerial inspection equipment during the flight; Perform image contour recognition on the visual detection data to obtain the pavement morphology contour and the roadbed slope morphology contour of each position point of the global highway route; based on the pavement morphology contour and the roadbed slope morphology contour of each position point, determine the contour difference characteristics of the pavement morphology and the path slope morphology at each position point; based on the contour difference characteristics, determine all morphological abnormality intervals of the global highway route.

4. The method according to claim 1, characterized in that: The method of estimating the structural degradation interval distribution information of the global highway route based on the abnormal driving interval and the abnormal morphology interval; and generating a disease warning map of the highway based on the structural degradation interval distribution information and the external environment characteristics of the area where the highway is located, specifically includes: Based on the distribution positions of all driving abnormality intervals and all morphological abnormality intervals on the global highway route, determine the relative position relationship between the driving abnormality intervals and the morphological abnormality intervals of the global highway route; based on the relative position relationship, estimate the structural degradation interval distribution information of the global highway route; Based on the structural degradation interval distribution information and the environmental precipitation distribution characteristics of the area where the highway is located, the precipitation erosion and penetration characteristics of each structural degradation interval are determined; based on the precipitation erosion and penetration characteristics, a disease warning map of the highway is generated; wherein the disease warning map includes the distribution information of location points where road surface damage may occur on the global route of the highway.

5. The method according to claim 1, characterized in that estimating accident prediction information of the highway based on the disease warning map and the driving status characteristics of the highway; Based on the accident prediction information, the electronic map terminal is changed, specifically: Based on the traffic flow big data of the highway, the traffic state characteristics of the global route of the highway are estimated; wherein the traffic state characteristics refer to the traffic flow rate of each unit grid area in the road surface of the global route of the highway; based on the traffic state characteristics, the disease warning map is analyzed for time evolution, and the accident prediction information of the highway is estimated; wherein the accident prediction information refers to the location and time information of the collapse accident of the highway; Based on the accident prediction information, visual changes and character markings are performed on the electronic map of the electronic map end, and then based on the query request received by the electronic map end, the electronic map is distributed to the corresponding user end.

6. A highway maintenance inspection analysis and early warning system, characterized in that: The system includes the following modules: A ground inspection analysis module is used to obtain and analyze dynamic detection data of the ground inspection process of the highway, and determine all abnormal driving sections of the global route of the highway; An aerial inspection analysis module is used to obtain and analyze visual inspection data of the aerial inspection process of the highway, and determine all morphological abnormal intervals of the global route of the highway; A highway structure degradation identification module, used for estimating the structural degradation interval distribution information of the global route of the highway based on the abnormal driving interval and the abnormal morphology interval; An early warning map generation module is used to generate a disease early warning map of the highway based on the structural degradation interval distribution information and the external environmental characteristics of the area where the highway is located; An accident prediction module, used to estimate accident prediction information of the highway based on the disease warning map and the driving status characteristics of the highway; The electronic map processing module is used to perform a change operation on the electronic map end based on the accident prediction information.

7. The system according to claim 6, characterized in that The ground inspection analysis module is used to obtain and analyze dynamic detection data of the ground inspection process of the highway, and determine all abnormal driving intervals of the global route of the highway, specifically: Monitoring a ground inspection device traveling on a highway to obtain dynamic detection data of the ground inspection device during the driving process; wherein the dynamic detection data includes vibration detection data and posture detection data of the ground inspection device during the driving process; the vibration detection data includes corresponding data between the vibration amplitude and direction of the ground inspection device during the driving process and the driving position; the posture detection data includes corresponding data between the posture angle of the ground inspection device during the driving process and the driving position; The dynamic detection data is analyzed for airspace changes in the global route of the highway to obtain the vibration impact effect on each driving position of the ground inspection equipment during the driving process; based on the vibration impact effect, all driving abnormal sections of the global route of the highway are determined.

8. The system according to claim 7, characterized in that The aerial inspection analysis module is used to obtain and analyze visual inspection data of the aerial inspection process of the highway, and determine all abnormal morphological intervals of the global route of the highway, specifically: Monitoring the aerial inspection equipment flying over the highway to obtain visual inspection data of the aerial inspection equipment during the flight; wherein the visual inspection data includes image data of the highway pavement and its roadbed slope collected by the aerial inspection equipment during the flight; Perform image contour recognition on the visual detection data to obtain the pavement morphology contour and the roadbed slope morphology contour of each position point of the global highway route; based on the pavement morphology contour and the roadbed slope morphology contour of each position point, determine the contour difference characteristics of the pavement morphology and the path slope morphology at each position point; based on the contour difference characteristics, determine all morphological abnormality intervals of the global highway route.

9. The system according to claim 6, characterized in that The highway structure degradation identification module is used to estimate the structural degradation interval distribution information of the global highway route based on the driving abnormality interval and the morphological abnormality interval, specifically: Based on the distribution positions of all driving abnormality intervals and all morphological abnormality intervals on the global highway route, determine the relative position relationship between the driving abnormality intervals and the morphological abnormality intervals of the global highway route; based on the relative position relationship, estimate the structural degradation interval distribution information of the global highway route; The warning map generation module is used to generate a disease warning map of the highway based on the structural degradation interval distribution information and the external environmental characteristics of the area where the highway is located, specifically: Based on the structural degradation interval distribution information and the environmental precipitation distribution characteristics of the area where the highway is located, the precipitation erosion and penetration characteristics of each structural degradation interval are determined; based on the precipitation erosion and penetration characteristics, a disease warning map of the highway is generated; wherein the disease warning map includes the distribution information of location points where road surface damage may occur on the global route of the highway.

10. The system according to claim 6, characterized in that The accident occurrence prediction module is used to estimate the accident occurrence prediction information of the highway based on the disease warning map and the driving state characteristics of the highway, specifically: Based on the traffic flow big data of the highway, the traffic state characteristics of the global route of the highway are estimated; wherein the traffic state characteristics refer to the traffic flow rate of each unit grid area in the road surface of the global route of the highway; based on the traffic state characteristics, the disease warning map is analyzed for time evolution, and the accident prediction information of the highway is estimated; wherein the accident prediction information refers to the location and time information of the collapse accident of the highway; The electronic map processing module is used to perform an electronic map end change operation based on the accident prediction information, specifically: Based on the accident prediction information, visual changes and character markings are performed on the electronic map of the electronic map end, and then based on the query request received by the electronic map end, the electronic map is distributed to the corresponding user end.

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