Displacement deformation detection system suitable for highway pavement
Through the highway segmented monitoring and analysis module, combined with image information, alarm or patrol reminder signals are generated, which solves the problem of inaccurate judgment of road surface displacement risks and improves the intelligence and safety of highway management.
Patent Information
- Application Number
- CN202510554910.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-29
- Publication Date
- 2025-07-18
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing technology cannot reasonably judge the displacement risk status of each section of the road surface, and cannot accurately report the emergency of patrol when judging the safety of the road surface, resulting in high-speed road surface management being difficult and low in intelligence.
The road segmented monitoring module, displacement deformation analysis output module, highway traffic safety analysis module, highway on-site patrol reminder module and highway early warning management end are adopted to monitor the road surface displacement through displacement sensors, analyze the road surface conditions in combination with image information, generate alarm or patrol reminder signals, and carry out intelligent management.
It realizes accurate judgment of the displacement conditions of each sub-section of the road surface, reduces traffic hazards and management difficulties, and improves the intelligence of highway management.
Smart Images

Figure CN120331093A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of highway supervision, and specifically to a displacement and deformation detection system applicable to highway pavements. Background Art
[0002] As an important transportation infrastructure, the safety and stability of highways are crucial. Due to the influence of natural and human factors, displacement and deformation often occur on highway pavements, which will have a serious impact on highway driving safety.
[0003] In the Chinese invention patent with the publication number CN115451805A, a deformation monitoring system and method for mountain highway slopes are disclosed. Through distributed monitoring, the location of the deformed section can be accurately understood, and the integration of monitoring and early warning is realized by combining image information and force deformation information.
[0004] However, in the actual application process, the above-mentioned invention technical solution cannot reasonably judge the displacement risk status of each section of the highway pavement and comprehensively evaluate the traffic safety of the highway pavement, and cannot accurately feedback the inspection urgency for the highway pavement when the traffic safety of the highway pavement is judged to be good. The highway pavement management is difficult and the degree of intelligence is low.
[0005] In view of the above technical defects, a solution is proposed now. Summary of the Invention
[0006] The purpose of the present invention is to provide a displacement and deformation detection system applicable to highway pavements, which solves the problems that the prior art cannot reasonably judge the displacement risk status of each section of the highway pavement and comprehensively evaluate the traffic safety of the highway pavement, and cannot accurately feedback the inspection urgency for the highway pavement when the traffic safety of the highway pavement is judged to be good, resulting in difficult highway pavement management.
[0007] To achieve the above purpose, the present invention provides the following technical solution:
[0008] A displacement and deformation detection system applicable to highway pavements includes a highway sectional monitoring module, a displacement and deformation analysis and output module, a highway traffic safety analysis module, a highway on-site inspection reminder module, and a highway early warning management terminal;
[0009] The highway sectional monitoring module obtains the highway pavement to be monitored, divides the highway pavement to be monitored into several sub-sections, marks the corresponding sub-sections as monitoring sections u, and u is a natural number greater than 1; displacement sensors are installed at corresponding positions on the monitoring section u, and the monitoring section u is monitored for displacement through the displacement sensors, and the displacement curve of the monitoring section u per unit time is obtained and sent to the displacement and deformation analysis and output module;
[0010] The displacement deformation analysis output module receives the displacement curve of monitoring section u, marks monitoring section u as a regulated section or a non - abnormal section through analysis, and sends the marking information of monitoring section u to the highway traffic safety analysis module;
[0011] The highway traffic safety analysis module analyzes the traffic safety of the highway pavement, generates a highway traffic alarm signal or a highway traffic safety signal through analysis, sends the highway traffic alarm signal to the highway warning management terminal, and sends the highway traffic safety signal to the highway on - site inspection reminder module;
[0012] When the highway on - site inspection reminder module receives the highway traffic safety signal, it analyzes the necessity of highway on - site inspection, generates a highway inspection reminder signal or a highway inspection non - necessary signal through analysis, and sends the highway inspection reminder signal to the highway warning management terminal; when the highway warning management terminal receives the highway traffic alarm signal or the highway inspection reminder signal, it issues a corresponding warning.
[0013] Furthermore, the analysis process of the displacement deformation analysis output module is as follows:
[0014] Establish a rectangular coordinate system in the first quadrant with time as the X - axis and displacement as the Y - axis, place the displacement curve of monitoring section u into the rectangular coordinate system, and the starting point of the displacement curve is on the Y - axis; draw a ray parallel to the X - axis and with endpoints on the Y - axis in the rectangular coordinate system and mark it as the position judgment ray. If the displacement curve is not completely below the position judgment ray, mark monitoring section u as a regulated section;
[0015] If the displacement curve is completely below the position judgment ray, set several coordinate points on the displacement curve, calculate the average value of the Y - axis coordinate values of all coordinate points to obtain the displacement deformation detection value; connect adjacent two coordinate points through line segments and mark the corresponding line segments as intersection line segments, mark the acute - angle value of the angle between the corresponding rising inspection line segment and the X - direction as the rising and falling amplitude table value, mark the ratio of the number of intersection line segments whose rising and falling amplitude table values exceed the preset rising and falling amplitude table threshold as the intersection rising difference value, and mark the largest rising and falling amplitude table value as the rising and falling amplitude condition value;
[0016] Calculate the displacement deformation alarm value through numerical calculation of the displacement deformation detection value, the intersection rising difference value, and the rising amplitude condition value, compare the displacement deformation alarm value with the preset displacement deformation alarm threshold. If the displacement deformation alarm value exceeds the preset displacement deformation alarm threshold, mark monitoring section u as a regulated section; if the displacement deformation alarm value does not exceed the preset displacement deformation alarm threshold, mark monitoring section u as a non - abnormal section.
[0017] Furthermore, the specific analysis process of the highway traffic safety analysis module includes:
[0018] Obtain the marking information of all sub - segments on the highway pavement. If there is a supervised section, generate a highway traffic alarm signal; if there is no supervised section, calculate the average value of the displacement deformation alarm values of all non - abnormal sections to obtain the highway pavement decision value, and obtain the highway pavement obstruction value through pavement monitoring and scanning analysis. Calculate the highway traffic risk coefficient by performing numerical calculations on the highway pavement decision value and the highway pavement obstruction value.
[0019] Perform a numerical comparison between the highway traffic risk coefficient and the preset highway traffic risk coefficient threshold. If the highway traffic risk coefficient exceeds the preset highway traffic risk coefficient threshold, generate a highway traffic alarm signal; if the highway traffic risk coefficient does not exceed the preset highway traffic risk coefficient threshold, generate a highway traffic safety signal.
[0020] Furthermore, the specific analysis process of pavement monitoring and scanning analysis is as follows:
[0021] Obtain the monitoring image of the monitoring section u through the monitoring camera. Based on the monitoring image, identify the obstacles on the pavement corresponding to the monitoring section u, collect the area of the corresponding obstacles and the reduction value of the pavement traffic width caused by the obstacles, and mark them as the obstacle surface inspection value and the obstacle traffic width reduction inspection value respectively. Perform numerical comparisons between the obstacle surface inspection value and the obstacle traffic width reduction inspection value with the preset obstacle surface inspection threshold and the preset obstacle traffic width reduction inspection threshold respectively. If the obstacle surface inspection value or the obstacle traffic width reduction inspection value exceeds the corresponding preset threshold, mark the corresponding obstacle as an abnormal obstacle.
[0022] And identify the depressions or protrusions on the pavement corresponding to the monitoring section u based on the monitoring image. Mark the area, the maximum concavity - convexity amplitude, and the average concavity - convexity amplitude of the corresponding depressions or protrusions as the concavity - convexity surface condition value, the concavity - convexity depth amplitude value, and the concavity - convexity surface depth value respectively. Perform numerical calculations on the concavity - convexity surface condition value, the concavity - convexity depth amplitude value, and the concavity - convexity surface depth value to obtain the concavity - convexity hidden danger value. Perform a numerical comparison between the concavity - convexity hidden danger value and the preset concavity - convexity hidden danger threshold. If the concavity - convexity hidden danger value exceeds the preset concavity - convexity hidden danger threshold, mark the corresponding depression or protrusion as a red - alert object.
[0023] If there are abnormal obstacles or red - alert objects in the monitoring section u, mark the monitoring section u as an obstructive section, and obtain the ratio of the number of obstructive sections on the highway pavement and mark it as the highway pavement obstruction value.
[0024] Furthermore, the specific analysis process of the highway on - site inspection reminder module is as follows:
[0025] Obtain the current time and the time of the previous adjacent inspection of the highway pavement. Calculate the time difference between the current time and the time of the previous adjacent inspection of the highway pavement to obtain the highway inspection interval duration. Perform a numerical comparison between the highway inspection interval duration and the preset highway inspection interval duration threshold. If the highway inspection interval duration exceeds the preset highway inspection interval duration threshold, generate a highway inspection reminder signal.
[0026] Further, if the highway patrol interval duration does not exceed the preset highway patrol interval duration threshold, the highway environmental hazard value and the highway load-bearing hazard value are obtained. By performing numerical calculations on the highway patrol interval duration, the highway environmental hazard value, and the highway load-bearing hazard value, a highway patrol reminder coefficient is obtained. The highway patrol reminder coefficient is numerically compared with the preset highway patrol reminder coefficient threshold. If the highway patrol reminder coefficient exceeds the preset highway patrol reminder coefficient threshold, a highway patrol reminder signal is generated; if the highway patrol reminder coefficient does not exceed the preset highway patrol reminder coefficient threshold, a highway patrol non-essential signal is generated.
[0027] Further, the highway on-site patrol reminder module is communicatively connected to the highway environmental monitoring module and the highway load-bearing monitoring module. The highway on-site patrol reminder module marks the time period between the current moment and the previous moment when the highway pavement was patrolled as the patrol interval period.
[0028] The highway environmental monitoring module monitors the environment where the highway pavement is located, analyzes the degree of harm caused by the environment to the highway pavement during the patrol interval period, and accordingly obtains the highway environmental hazard value, and sends the highway environmental hazard value to the highway on-site patrol reminder module.
[0029] The highway load-bearing monitoring module monitors the compressive condition of the highway pavement, analyzes the load-bearing hazards suffered by the highway pavement during the patrol interval period, and accordingly obtains the highway load-bearing hazard value, and sends the highway load-bearing hazard value to the highway on-site patrol reminder module.
[0030] Further, the specific analysis process of the highway environmental monitoring module is as follows:
[0031] The real-time temperature, real-time humidity, and real-time light intensity of the environment where the highway pavement is located are obtained. The real-time temperature, real-time humidity, and real-time light intensity are respectively compared with the corresponding preset suitable data requirements. If the real-time temperature, real-time humidity, or real-time light intensity does not meet the corresponding preset suitable data requirements, it is determined that the highway pavement is in a hazardous environmental state.
[0032] The total duration during which the highway pavement is in a hazardous environmental state during the patrol interval period is obtained and marked as the hazardous environmental condition value, and the number of occurrences where the single continuous duration in the hazardous environmental state during the patrol interval period exceeds the preset single continuous duration threshold is marked as the hazardous environmental abnormal duration value; and the number of days when the daily temperature difference value of the environment where the highway pavement is located during the patrol interval period exceeds the preset daily temperature difference threshold is marked as the temperature difference abnormal days value. By performing numerical calculations on the hazardous environmental condition value, the hazardous environmental abnormal duration value, and the temperature difference abnormal days value, the highway environmental hazard value is obtained.
[0033] Further, the specific analysis process of the highway load-bearing monitoring module is as follows:
[0034] Set a number of detection points on the highway pavement, and deploy pressure sensors at each detection point; collect the real-time bearing pressure data of the corresponding detection points, and mark the duration of the real-time bearing pressure data of the corresponding detection points exceeding the preset real-time bearing pressure data threshold within the inspection interval as the overpressure detection time value; calculate the average value of the overpressure detection time values of all detection points to obtain the highway bearing hazard value.
[0035] Compared with the prior art, the beneficial effects of the present invention are as follows:
[0036] 1. In the present invention, the displacement deformation analysis output module analyzes based on the displacement curve to accurately judge the displacement status of each sub-section of the highway pavement. The highway traffic safety analysis module analyzes the traffic safety of the highway pavement, analyzes the necessity of on-site highway inspection when generating the highway traffic safety signal, and conducts on-site inspection of the highway pavement and makes reasonable improvement measures when generating the highway traffic alarm signal or highway inspection reminder signal, significantly reducing the traffic hidden dangers of the highway pavement and reducing the highway management difficulty.
[0037] 2. In the present invention, the highway environment monitoring module analyzes the degree of harm caused by the environment to the highway pavement within the inspection interval to obtain the highway environment hazard value, and the highway bearing monitoring module analyzes the load hazard suffered by the highway pavement within the inspection interval to obtain the highway bearing hazard value, providing data support for the analysis process of the highway on-site inspection reminder module and ensuring the accuracy of its analysis results. BRIEF DESCRIPTION OF THE DRAWINGS
[0038] For the convenience of those skilled in the art to understand, the present invention will be further described below with reference to the accompanying drawings;
[0039] Figure 1 It is the system block diagram of the first embodiment in the present invention;
[0040] Figure 2 It is the system block diagram of the second and third embodiments in the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0041] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.
[0042] Embodiment 1: As Figure 1 shown, a displacement deformation detection system applicable to highway pavement proposed by the present invention includes a highway segmented monitoring module, a displacement deformation analysis output module, a highway traffic safety analysis module, a highway on-site inspection reminder module, and a highway early warning management terminal;
[0043] The highway segment monitoring module obtains the highway pavement to be monitored, divides the highway pavement to be monitored into several sub-segments, marks the corresponding sub-segments as monitoring segment u, and u is a natural number greater than 1; displacement sensors are installed at corresponding positions on monitoring segment u, and displacement monitoring of monitoring segment u is carried out through the displacement sensors, and the displacement curve of monitoring segment u per unit time is obtained and sent to the displacement deformation analysis output module;
[0044] The displacement deformation analysis output module receives the displacement curve of monitoring segment u, marks monitoring segment u as a regulatory segment or a non-abnormal segment based on the displacement curve and through analysis, and sends the marking information of monitoring segment u to the highway traffic safety analysis module, which can reasonably analyze and accurately judge the displacement conditions of each sub-segment of the highway pavement, is conducive to mastering the displacement risks of each sub-segment, and provides information support for the highway traffic safety analysis module; the analysis process of the displacement deformation analysis output module is as follows:
[0045] A rectangular coordinate system in the first quadrant is established with time as the X-axis and displacement as the Y-axis, the displacement curve of monitoring segment u is placed in the rectangular coordinate system, and the starting point of the displacement curve is located on the Y-axis; a ray parallel to the X-axis and with endpoints on the Y-axis is drawn in the rectangular coordinate system and marked as the displacement judgment ray. If the displacement curve is not completely below the displacement judgment ray, then monitoring segment u is marked as a regulatory segment;
[0046] If the displacement curve is completely below the displacement judgment ray, then a number of coordinate points are set on the displacement curve, and the X-direction distance between adjacent two coordinate points is equal. The Y-axis coordinate values of all coordinate points are averaged to obtain the displacement deformation detection value;
[0047] Adjacent two coordinate points are connected by a line segment and the corresponding line segment is marked as the intersection line segment, and the acute value of the included angle between the corresponding rising inspection line segment and the X-direction is marked as the rising and falling amplitude table value. Among them, the larger the value of the rising and falling amplitude table value, the greater the instantaneous change of the displacement, and the greater the safety risk brought; the rising and falling amplitude table value is numerically compared with the preset rising and falling amplitude table threshold, and the ratio of the number of intersection line segments whose rising and falling amplitude table value exceeds the preset rising and falling amplitude table threshold is marked as the intersection rising difference value, and the largest rising and falling amplitude table value is marked as the rising and falling amplitude condition value;
[0048] The displacement deformation detection value LWu, the intersection rising difference value LNu and the rising amplitude condition value LPu are numerically calculated through the formula LXu = wq1 * LWu + wq2 * LNu + wq3 * LPu to obtain the displacement deformation alarm value LXu; where, wq1, wq2, wq3 are preset proportionality coefficients with values greater than zero, and moreover, the larger the value of the displacement deformation alarm value LXu, the greater the comprehensive displacement deformation risk of monitoring segment u in the highway pavement;
[0049] The displacement deformation alarm value LXu is numerically compared with the preset displacement deformation alarm threshold. If the displacement deformation alarm value LXu exceeds the preset displacement deformation alarm threshold, it indicates that the comprehensive displacement deformation risk of the monitoring section u on the road surface is relatively large, and then the monitoring section u is marked as a regulatory section; if the displacement deformation alarm value LXu does not exceed the preset displacement deformation alarm threshold, it indicates that the comprehensive displacement deformation risk of the monitoring section u on the road surface is relatively small, and then the monitoring section u is marked as a non - abnormal section.
[0050] The highway traffic safety analysis module analyzes the traffic safety of the road surface, generates a highway traffic alarm signal or a highway traffic safety signal through the analysis, and sends the highway traffic alarm signal to the highway early - warning management terminal;
[0051] When the highway early - warning management terminal receives the highway traffic alarm signal, it issues a corresponding warning, which can accurately evaluate the traffic risk of the road surface and give an early warning in time to remind the management personnel to check the road surface and take reasonable improvement measures, thereby reducing the traffic risk of the road surface. It has a high degree of intelligence and significantly reduces the management difficulty of highway management personnel. The specific analysis process of the highway traffic safety analysis module includes:
[0052] Obtain the marking information of all sub - sections on the road surface. If there is a regulatory section, generate a highway traffic alarm signal; if there is no regulatory section, calculate the average value of the displacement deformation alarm values of all non - abnormal sections to obtain the road surface decision value, and obtain the road surface obstacle value through road surface monitoring and scanning analysis. Specifically: obtain the monitoring image of the monitoring section u through the monitoring camera, and identify the obstacles on the road surface corresponding to the monitoring section u based on the monitoring image;
[0053] Collect the area of the corresponding obstacle and the reduction value of the road surface traffic width caused by the obstacle, and mark them as the obstacle surface inspection value and the obstacle traffic width reduction inspection value respectively. Numerically compare the obstacle surface inspection value and the obstacle traffic width reduction inspection value with the preset obstacle surface inspection threshold and the preset obstacle traffic width reduction inspection threshold respectively. If the obstacle surface inspection value or the obstacle traffic width reduction inspection value exceeds the corresponding preset threshold, it indicates that the degree of obstacle to road traffic caused by the corresponding obstacle is relatively serious, and then mark the corresponding obstacle as an abnormal obstacle;
[0054] And identify the depressions or protrusions on the road surface corresponding to the monitoring section u based on the monitoring image, and mark the area, the maximum concave - convex amplitude (i.e., the maximum depression depth of the depression or the maximum protrusion height of the protrusion), and the average concave - convex amplitude of the corresponding depressions or protrusions as the concave - convex surface condition value, the concave - convex depth amplitude value, and the concave - convex surface depth value respectively;
[0055] The concavity-convex surface condition value YMu, the concavity-convex depth amplitude value YLu, and the concavity-convex surface depth value YFu are numerically calculated through the formula YPu = b1 * YMu+(b2 * YLu + b3 * YFu) / 2 to obtain the concavity-convex hidden danger value YPu; where b1, b2, and b3 are preset proportionality coefficients, b3 > b2 > b1 > 0.15; and the larger the value of the concavity-convex hidden danger value YPu, the greater the safety hazard brought by the corresponding depression or protrusion;
[0056] The concavity-convex hidden danger value YPu is numerically compared with a preset concavity-convex hidden danger threshold. If the concavity-convex hidden danger value YPu exceeds the preset concavity-convex hidden danger threshold, indicating that the safety hazard brought by the corresponding depression or protrusion is relatively large, then the corresponding depression or protrusion is marked as a red alert object; if there are abnormal obstacles or red alert objects in the monitoring section u, then the monitoring section u is marked as an obstacle section, and the ratio of the number of obstacle sections on the road surface is obtained and marked as the road surface obstacle value;
[0057] The road surface decision value NY and the road surface obstacle value NZ are numerically calculated through the formula NP = uy1 * NY + uy2 * NZ to obtain the road traffic risk coefficient NP; where uy1 and uy2 are preset weight coefficients with values greater than zero, and the larger the value of the road traffic risk coefficient NP, the greater the comprehensive traffic safety hazard of the road surface;
[0058] The road traffic risk coefficient NP is numerically compared with a preset road traffic risk coefficient threshold. If the road traffic risk coefficient NP exceeds the preset road traffic risk coefficient threshold, indicating that the comprehensive traffic safety hazard of the road surface is relatively large, then a road traffic alarm signal is generated; if the road traffic risk coefficient NP does not exceed the preset road traffic risk coefficient threshold, indicating that the comprehensive traffic safety hazard of the road surface is relatively small, then a road traffic safety signal is generated.
[0059] The road traffic safety analysis module sends the road traffic safety signal to the road site inspection reminder module. When the road site inspection reminder module receives the road traffic safety signal, it analyzes the necessity of road site inspection, generates a road inspection reminder signal or a non-necessary road inspection signal through the analysis, and sends the road inspection reminder signal to the road warning management terminal;
[0060] When the road warning management terminal receives the road inspection reminder signal, it issues a corresponding warning, can accurately evaluate the urgency of road surface inspection, and reminds road management personnel to inspect the road surface in time, further reducing the traffic hazards on the road surface and the road management difficulty; the specific analysis process of the road site inspection reminder module is as follows:
[0061] Obtain the current time and the time of the previous adjacent inspection of the highway pavement. Calculate the time difference between the current time and the time of the previous adjacent inspection of the highway pavement to obtain the highway inspection interval duration. Compare the highway inspection interval duration with the preset highway inspection interval duration threshold. If the highway inspection interval duration exceeds the preset highway inspection interval duration threshold, it indicates that it is necessary to conduct an on-site inspection of the highway pavement in a timely manner, and then generate a highway inspection reminder signal.
[0062] Furthermore, if the highway inspection interval duration does not exceed the preset highway inspection interval duration threshold, obtain the highway environmental hazard value and the highway bearing hazard value. Calculate the highway inspection reminder coefficient QP by numerically calculating the highway inspection interval duration XS, the highway environmental hazard value HW, and the highway bearing hazard value ZW through the formula QP = hg1 * XS + hg2 * HW + hg3 * ZW; where hg1, hg2, and hg3 are preset proportionality coefficients greater than zero, and the larger the value of the highway inspection reminder coefficient QP, the greater the potential hidden danger of the highway pavement, and the more necessary it is to conduct an on-site inspection of the highway pavement in a timely manner.
[0063] Compare the highway inspection reminder coefficient QP with the preset highway inspection reminder coefficient threshold. If the highway inspection reminder coefficient QP exceeds the preset highway inspection reminder coefficient threshold, it indicates that the potential hidden danger of the highway pavement is relatively large and it is necessary to conduct an on-site inspection of the highway pavement in a timely manner, and then generate a highway inspection reminder signal; if the highway inspection reminder coefficient QP does not exceed the preset highway inspection reminder coefficient threshold, it indicates that the potential hidden danger of the highway pavement is relatively small and it is not necessary to conduct an on-site inspection of the highway pavement in a timely manner, and then generate a highway inspection non-necessary signal.
[0064] Embodiment 2: As Figure 2 shown, the difference between this embodiment and Embodiment 1 is that the highway on-site inspection reminder module is communicatively connected to the highway environmental monitoring module, and the highway on-site inspection reminder module marks the time period between the current time and the time of the previous adjacent inspection of the highway pavement as the inspection interval period.
[0065] The highway environmental monitoring module monitors the environment where the highway pavement is located, analyzes the degree of harm brought by the environment to the highway pavement during the inspection interval period, and accordingly obtains the highway environmental hazard value HW, and sends the highway environmental hazard value HW to the highway on-site inspection reminder module to provide data support for the analysis process of the highway on-site inspection reminder module and ensure the accuracy of its analysis result; the specific analysis process of the highway environmental monitoring module is as follows:
[0066] The real-time temperature, real-time humidity and real-time light intensity of the environment in which the road surface is located are obtained, and the real-time temperature, real-time humidity and real-time light intensity are respectively compared with the corresponding preset suitable data requirements. If the real-time temperature, real-time humidity or real-time light intensity does not meet the corresponding preset suitable data requirements, it indicates that the current environmental conditions are likely to cause harm to the road, and the road surface is judged to be in an environmentally dangerous state;
[0067] The total duration of the road surface in the environmental hazard state during the patrol interval is obtained and marked as the environmental hazard time value, and the single duration of the environmental hazard state during the patrol interval is compared with the corresponding preset single duration threshold, and the number of occurrences exceeding the preset single duration threshold during the patrol interval is marked as the environmental hazard abnormal value;
[0068] And all daily temperature differences of the environment in which the road surface is located during the patrol interval (i.e., the difference between the maximum temperature and the minimum temperature on the corresponding date) are collected, the daily temperature difference is numerically compared with the preset daily temperature difference threshold, and the days on which the daily temperature difference of the environment in which the road surface is located during the patrol interval exceeds the preset daily temperature difference threshold are marked as temperature difference daily values;
[0069] The highway environmental hazard value HW is obtained by numerically calculating the environmental hazard time value SY, the environmental hazard abnormality value SP and the temperature difference daily value SX through the formula HW=0.852*(mp1*SY+mp2*SP+mp3*SX); wherein mp1, mp2 and mp3 are preset proportional coefficients, mp3>mp2>mp1>0; and the larger the highway environmental hazard value HW is, the more serious the degree of damage to the highway pavement due to the environment during the patrol period.
[0070] Embodiment 3: Figure 2 As shown, the difference between this embodiment and the first and second embodiments is that the highway on-site inspection and reminder module is connected to the highway load monitoring module in communication. The highway load monitoring module monitors the pressure condition of the highway pavement, analyzes the load hazard to the highway pavement during the inspection interval, and obtains the highway load hazard value ZW accordingly. The highway load hazard value ZW is sent to the highway on-site inspection and reminder module to provide data support for the analysis process of the highway on-site inspection and reminder module, and further ensure the accuracy of its analysis results. The specific analysis process of the highway load monitoring module is as follows:
[0071] Set a number of detection points on the highway pavement, and deploy pressure sensors at each detection point respectively; collect the real-time bearing pressure data of the corresponding detection points (i.e., the data volume value of the pressure received at the corresponding detection points), compare the real-time bearing pressure data with the preset real-time bearing pressure data threshold, and mark the duration during which the real-time bearing pressure data of the corresponding detection point exceeds the preset real-time bearing pressure data threshold within the inspection interval as the overpressure detection time value; calculate the average value of the overpressure detection time values of all detection points to obtain the highway bearing hazard value ZW.
[0072] The working principle of the present invention: When in use, the highway section monitoring module divides the highway pavement to be monitored into several subsections, monitors the displacement of each subsection and sends its displacement curve to the displacement deformation analysis output module. The displacement deformation analysis output module analyzes based on the displacement curve to accurately judge the displacement condition of each subsection of the highway pavement and sends it to the highway traffic safety analysis module. The highway traffic safety analysis module analyzes the traffic safety of the highway pavement to generate a highway traffic alarm signal or a highway traffic safety signal. When generating a highway traffic safety signal, the highway on-site inspection reminder module analyzes the necessity of highway on-site inspection, and generates a highway inspection reminder signal or a highway inspection unnecessary signal through analysis. When generating a highway traffic alarm signal or a highway inspection reminder signal, conduct an inspection on the highway pavement and take reasonable improvement measures, significantly reducing the traffic hidden dangers of the highway pavement and reducing the highway management difficulty, with a high degree of intelligence.
[0073] The above formulas are all dimensionless and take their numerical calculations. The formula is a formula obtained by software simulation by collecting a large amount of data to approximate the real situation. The preset parameters in the formula are set by those skilled in the art according to the actual situation. The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only the specific implementation manners. Obviously, many modifications and changes can be made according to the content of this specification. These embodiments are selected and specifically described in this specification to better explain the principle and practical application of the present invention, so that those skilled in the art in the relevant technical field can well understand and utilize the present invention. The present invention is only limited by the claims and their full scope and equivalents.
Claims
1. A displacement and deformation detection system applicable to highway pavements, characterized in that, It includes a highway sectional monitoring module, a displacement and deformation analysis and output module, a highway traffic safety analysis module, a highway on-site inspection reminder module, and a highway early warning management terminal; The highway sectional monitoring module obtains the highway pavement to be monitored, divides the highway pavement to be monitored into several sub-sections, marks the corresponding sub-sections as monitoring section u, and u is a natural number greater than 1; the displacement sensor is used to monitor the displacement of monitoring section u, obtains the displacement curve of monitoring section u within a unit time and sends it to the displacement and deformation analysis and output module; The displacement and deformation analysis and output module receives the displacement curve of monitoring section u, and marks monitoring section u as a supervised section or a non-abnormal section through analysis; the highway traffic safety analysis module analyzes the traffic safety of the highway pavement, generates a highway traffic alarm signal or a highway traffic safety signal through analysis, and sends the highway traffic safety signal to the highway on-site inspection reminder module; When the highway on-site inspection reminder module receives the highway traffic safety signal, it analyzes the necessity of highway on-site inspection, and generates a highway inspection reminder signal or a highway inspection non-necessary signal through analysis; when the highway early warning management terminal receives the highway traffic alarm signal or the highway inspection reminder signal, it issues a corresponding early warning.
2. The displacement and deformation detection system applicable to highway pavement according to claim 1, wherein, The analysis process of the displacement and deformation analysis and output module is as follows: If the displacement curve is not completely below the displacement judgment ray, then mark monitoring section u as a supervised section; if the displacement curve is completely below the displacement judgment ray, then perform numerical calculations on the displacement and deformation detection value, the handover rise and difference value, and the rising amplitude condition value to obtain the displacement and deformation alarm value. If the displacement and deformation alarm value exceeds the preset displacement and deformation alarm threshold, then mark monitoring section u as a supervised section; if the displacement and deformation alarm value does not exceed the preset displacement and deformation alarm threshold, then mark monitoring section u as a non-abnormal section.
3. A displacement and deformation detection system applicable to highway pavement according to claim 1, characterized in that, The specific analysis process of the highway traffic safety analysis module includes: Obtain the marking information of all sub-sections on the highway pavement. If there is a supervised section, generate a highway traffic alarm signal; if there is no supervised section, perform pavement monitoring and scanning analysis to obtain the highway pavement obstacle value, perform numerical calculations on the highway pavement decision value and the highway pavement obstacle value to obtain the highway traffic risk coefficient. If the highway traffic risk coefficient exceeds the preset highway traffic risk coefficient threshold, generate a highway traffic alarm signal; if the highway traffic risk coefficient does not exceed the preset highway traffic risk coefficient threshold, generate a highway traffic safety signal.
4. A displacement and deformation detection system applicable to a highway pavement according to claim 3, characterized in that, The specific analysis process of the pavement monitoring and scanning analysis is as follows: Obtain the monitoring image of monitoring section u through the monitoring camera, identify the obstacles on the pavement corresponding to monitoring section u based on the monitoring image. If the obstacle surface inspection value or the obstacle width reduction inspection value exceeds the corresponding preset threshold, mark the corresponding obstacle as an abnormal obstacle; And identify the depressions or protrusions on the pavement corresponding to monitoring section u based on the monitoring image. If the concave and convex hidden danger value exceeds the preset concave and convex hidden danger threshold, mark the corresponding depression or protrusion as a red alert object; if there is an abnormal obstacle or a red alert object in monitoring section u, then mark monitoring section u as an obstacle section, obtain the ratio of the number of obstacle sections on the highway pavement and mark it as the highway pavement obstacle value.
5. The displacement and deformation detection system applicable to a highway pavement according to claim 1, characterized in that The specific analysis process of the highway on-site inspection reminder module is as follows: Obtain the current time and the time of the previous adjacent inspection of the highway pavement. Calculate the time difference between the current time and the time of the previous adjacent inspection of the highway pavement to obtain the highway inspection interval duration. If the highway inspection interval duration exceeds the preset highway inspection interval duration threshold, generate a highway inspection reminder signal.
6. The displacement and deformation detection system applicable to a road surface according to claim 5, wherein, If the highway inspection interval duration does not exceed the preset highway inspection interval duration threshold, perform numerical calculations on the highway inspection interval duration, the highway environmental hazard value, and the highway load hazard value to obtain the highway inspection reminder coefficient. If the highway inspection reminder coefficient exceeds the preset highway inspection reminder coefficient threshold, generate a highway inspection reminder signal; If the highway inspection reminder coefficient does not exceed the preset highway inspection reminder coefficient threshold, generate a highway inspection non-necessary signal.
7. The displacement and deformation detection system applicable to a highway pavement according to claim 5, wherein, The highway on-site inspection reminder module is communicatively connected to the highway environmental monitoring module and the highway load monitoring module. The highway environmental monitoring module is used to analyze the degree of harm caused by the environment to the highway pavement during the inspection interval, obtain the highway environmental hazard value accordingly, and send it to the highway on-site inspection reminder module; The highway load monitoring module analyzes the load hazards suffered by the highway pavement during the inspection interval, obtains the highway load hazard value accordingly, and sends it to the highway on-site inspection reminder module.
Citation Information
Patent Citations
Mountain road slope deformation monitoring system and method
CN115451805A