A method for evaluating the operating status of highway drainage systems

Abstract

The present invention relates to the field of public facility management, and in particular to a method for evaluating the operating status of a highway drainage system. The content includes: acquiring sensor data from different areas in real time, and calculating the drainage volume of different areas; calculating the drainage efficiency of different areas based on the drainage volume and sensor data of different areas; calculating the depth of water accumulation in different areas at future times based on the drainage volume, drainage efficiency and sensor data of different areas; calculating the operating status score of highway drainage systems in different areas based on the drainage volume, drainage efficiency, sensor data of different areas and the depth of water accumulation in different areas at future times, and then determining the operating status of the highway drainage system. The method solves the problems that the correlation between rainfall and drainage in different areas is unclear, the drainage capacity assessment is difficult, the drainage efficiency is difficult to accurately assess, and the traditional water accumulation prediction model may cause errors in the prediction of water accumulation depth and delays in decision-making.

Description

Technical Field

[0001] The invention relates to the field of public facility management, and in particular to a method for evaluating the operating status of a highway drainage system. Background Art

[0002] In the design and maintenance of highway infrastructure, the operating status of the drainage system is directly related to the service life of the highway and traffic safety. The main function of the drainage system is to timely remove rainwater, surface water and groundwater to prevent water accumulation from causing damage to the road surface and deterioration of the roadbed structure. Especially in areas with frequent rainfall or low-lying terrain, the efficiency of the drainage system is crucial. A complete drainage system can effectively avoid damage such as potholes and cracks on the road surface, and prevent traffic accidents caused by water accumulation; in addition, a reasonable drainage system can also slow down the damage to the road surface caused by the freeze-thaw cycle of the highway, reduce maintenance costs, and extend the service life of the highway. In highway maintenance and management, the traditional manual inspection method is easily limited by manpower and time, and cannot achieve timely monitoring. Therefore, evaluating the operating status of the drainage system has become an important means to ensure road safety and durability.

[0003] However, the traditional drainage system operation status evaluation method has the following technical problems: the relationship between rainfall and drainage in different regions is unclear, making it difficult to evaluate drainage capacity; the impact of rainfall intensity fluctuations on the stability of the drainage system is not taken into account; drainage efficiency is subject to the complex influence of multivariate nonlinear relationships and is difficult to accurately evaluate; and the traditional waterlogging prediction model cannot fully consider the cumulative effect of rainfall and the real-time performance of the drainage system, which may lead to errors in the prediction of waterlogging depth and delayed decisions. Summary of the invention

[0004] The present invention provides an evaluation method for the operating status of a highway drainage system to solve the problems of unclear correlation between rainfall and drainage in different areas and difficulty in evaluating drainage capacity; failure to consider the impact of rainfall intensity fluctuations on the stability of the drainage system, and the difficulty in accurately evaluating drainage efficiency due to the complex influence of multivariate nonlinear relationships; and the inability of traditional waterlogging prediction models to fully consider the cumulative effect of rainfall and the real-time performance of the drainage system, which may lead to errors in waterlogging depth prediction and decision delays.

[0005] The present invention provides a method for evaluating the operating status of a highway drainage system, which specifically includes the following technical solutions:

[0006] A method for evaluating the operating status of a highway drainage system comprises the following steps:

[0007] S1. Obtain sensor data from different areas in real time, and calculate the drainage volume of different areas using a rainfall-drainage correlation calculation algorithm based on a segmented model based on the sensor data from different areas;

[0008] S2, based on the drainage volume and sensor data of different areas, the drainage efficiency of different areas is calculated using a dynamic nonlinear drainage efficiency evaluation algorithm;

[0009] S3, based on the drainage volume of different areas, drainage efficiency of different areas and sensor data, use the dynamic prediction algorithm of water accumulation depth to calculate the water accumulation depth of different areas at the future moment;

[0010] S4. Based on the drainage volume of different areas, drainage efficiency of different areas, sensor data and water depth of different areas at future times, the highway drainage system operation status scoring algorithm is used to calculate the highway drainage system operation status scores of different areas; based on the highway drainage system operation status scores, the operation status of the highway drainage system is determined.

[0011] Preferably, the S1 specifically includes:

[0012] The sensor data include rainfall intensity, water level, drainage flow rate, and water depth.

[0013] Preferably, the S1 specifically includes:

[0014] In the implementation process of the rainfall-drainage correlation calculation algorithm based on the segmented model, the drainage capacity of each area is evaluated based on the rainfall intensity and drainage flow rate; a rainfall intensity threshold is set, and the rainfall intensity in different areas is compared with the rainfall intensity threshold to determine whether the current rainfall intensity exceeds the rainfall intensity threshold; when the rainfall intensity at the current moment is less than the rainfall intensity threshold, the normal rainfall model is used to calculate the drainage; when the rainfall intensity at the current moment is greater than or equal to the rainfall intensity threshold, the extreme rainfall model is switched to calculate the drainage.

[0015] Preferably, the S1 specifically includes:

[0016] When the rainfall intensity at the current moment is less than the rainfall intensity threshold, the drainage volume is calculated by combining the cross-sectional area of ​​the drainage pipes and the drainage flow rate in the area with the logarithmic form of the rainfall intensity; when the rainfall intensity at the current moment is greater than or equal to the rainfall intensity threshold, the drainage volume is calculated by performing exponential calculation of the rainfall intensity.

[0017] Preferably, the S2 specifically includes:

[0018] In the process of implementing the dynamic nonlinear drainage efficiency evaluation algorithm, the rainfall change rate is calculated based on the rainfall intensity, and the rainfall change rate is normalized. The drainage efficiency of different areas is obtained by combining the drainage volume and water level in different areas. The specific calculation formula is:

[0019] ,

[0020] in, Indicates at time Time Zone drainage efficiency; Indicates at time Time Zone Displacement of Indicates at time Time Zone the rainfall intensity; represents the rainfall change rate; Indicates area The maximum rainfall intensity recorded in the historical data is used to normalize the rainfall change rate; represents the influence weight of rainfall variation rate on drainage efficiency; Indicates at time Time Zone The water level height; represents the water level influence coefficient; represents the adjustment factor; represents the hyperbolic tangent function; Indicates area The maximum discharge recorded in historical data.

[0021] Preferably, the S3 specifically includes:

[0022] The dynamic prediction algorithm for waterlogging depth adopts a logarithmic function to perform nonlinear processing on rainfall intensity, and introduces weight factors of drainage efficiency in different regions to adjust the influence of drainage efficiency on waterlogging depth prediction.

[0023] Preferably, the S3 specifically includes:

[0024] In the process of implementing the dynamic prediction algorithm of waterlogging depth, an error term is introduced, and the negative prediction results of waterlogging depth are automatically corrected to zero to obtain the waterlogging depth of different areas at future times; the specific calculation formula for the waterlogging depth of different areas at future times is:

[0025] ,

[0026] in, For in time Time Zone The water depth represents the predicted result of water depth; Indicates the amount of change over time; Indicates at time Time Zone Depth of water accumulation; Indicates area Rainfall intensity influence coefficient; Indicates area Drainage capacity coefficient; Indicates area Weighting factor for drainage efficiency; Indicates area The error term of .

[0027] Preferably, the S4 specifically includes:

[0028] In the process of implementing the highway drainage system operation status scoring algorithm, the time decay factor and periodic weight term are introduced to quantitatively score the operation status of the highway drainage system in the region, and the highway drainage system operation status scores in different regions are obtained. The specific formula is:

[0029] ,

[0030] in, Indicates at time Time Zone The highway drainage system operation status score; Indicates a time interval; represents the time decay factor; represents the time attenuation coefficient; Indicates at time Time Zone Depth of water accumulation; represents the periodic weight term; represents the frequency parameter; Indicates area The maximum depth of water accumulation recorded in the historical data; Indicates at time Time Zone drainage efficiency; Indicates at time Time Zone Displacement of Represents a very small positive number used to prevent the denominator from being zero; Indicates the future time zone The weight coefficient of the water depth.

[0031] Preferably, the S4 specifically includes:

[0032] The highway drainage system operation status score is compared with the preset score threshold to determine the operation status of the highway drainage system; when the highway drainage system operation status score is greater than or equal to the preset score threshold, the operation status of the highway drainage system is normal; when the highway drainage system operation status score is less than the preset score threshold, the operation status of the highway drainage system is abnormal; based on the operation status of the highway drainage system, corresponding management measures are triggered.

[0033] The beneficial effects of the technical solution of the present invention are:

[0034] 1. The drainage volume in different areas is obtained through the rainfall-drainage correlation calculation algorithm based on the segmented model. When the rainfall intensity reaches the rainfall intensity threshold, it is dynamically switched to different calculation models to distinguish between normal rainfall and extreme rainfall. When the rainfall is small, the logarithmic function is used to smooth the fluctuation. In extreme rainfall conditions, exponential calculation is used to simulate the load response of the highway drainage system to ensure stable operation under extreme weather conditions, realize regionalized refined drainage control, and avoid calculation errors caused by using a unified model for different regions.

[0035] 2. Dynamic nonlinear drainage efficiency evaluation algorithm obtains the drainage efficiency of different areas through dynamic nonlinear adjustment, introduces exponential decay terms and hyperbolic tangent functions, simulates the trend of drainage efficiency decreasing with rising water level, improves the accuracy of drainage efficiency calculation, and makes the evaluation consistent with the operating characteristics of the actual highway drainage system.

[0036] 3. The dynamic prediction algorithm for waterlogging depth processes rainfall intensity through a logarithmic function, simulates the nonlinear growth trend of waterlogging depth accumulation over time, introduces square root processing and error terms, and improves the accuracy of waterlogging depth prediction results.

[0037] 4. Based on historical data, sensor data and the depth of water accumulation in different areas at future times, time decay and periodic analysis are introduced to quantify the operating status of the regional highway drainage system to ensure the comprehensiveness and foresight of highway drainage system status monitoring, avoid sudden failures that are not discovered in time, improve the efficiency of management measures, and ensure that rapid response measures are taken when the highway drainage system operates abnormally to avoid the deterioration of highway waterlogging problems.

[0038] 5. The present invention improves the intelligence level of highway drainage management, reduces manual intervention, improves the automation capability of management, ensures the safe operation of highways, and effectively reduces the risks of highway closures and traffic accidents caused by waterlogging. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 The present invention is a flowchart of a method for evaluating the operating status of a highway drainage system. DETAILED DESCRIPTION

[0040] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the technical scheme in the embodiment of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiment of the present invention. Obviously, the described embodiment is only a part of the embodiment of the present invention, not all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0041] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0042] The specific scheme of the evaluation method of the operating status of a highway drainage system provided by the present invention is described in detail below with reference to the accompanying drawings.

[0043] Refer to the attached Figure 1 , which shows a flow chart of a method for evaluating the operating status of a highway drainage system provided by an embodiment of the present invention, the method comprising the following steps:

[0044] S1. Obtain sensor data from different areas in real time, and calculate the drainage volume of different areas using a rainfall-drainage correlation calculation algorithm based on a segmented model based on the sensor data from different areas;

[0045] According to the terrain characteristics of the highway and the layout of the highway drainage system, the highway is divided into areas, such as low-lying areas and ramp areas; a sensor network is arranged in each area of ​​the highway, and the sensor network includes a rainfall sensor, a water level sensor, and a flow rate sensor; sensor data of different areas are obtained in real time through the sensor network, and the sensor data include rainfall intensity, water level height, drainage flow rate, and water accumulation depth;

[0046] In order to dynamically monitor the operation status of the highway drainage system and ensure that the highway drainage system can work efficiently under different rainfall conditions, the design of the segmented model is used to calculate the drainage volume in different areas based on the sensor data of different areas, such as rainfall intensity and drainage flow rate, using the rainfall-drainage correlation calculation algorithm based on the segmented model;

[0047] The rainfall-drainage correlation calculation algorithm based on the segmented model is a rainfall-drainage relationship analysis algorithm that combines dynamic calculation and segmented model, and aims to accurately evaluate the drainage capacity of each area according to rainfall intensity and drainage flow rate. By setting a rainfall intensity threshold, it can distinguish between normal rainfall and extreme rainfall conditions, so as to ensure that reasonable calculation results can be obtained under normal rainfall and extreme rainfall, and avoid errors caused by using the same calculation method under different rainfall conditions; the rainfall intensity threshold can be set according to the specific implementation scenario and is not limited here;

[0048] Specifically, the rainfall intensity in different areas is compared with the rainfall intensity threshold to determine whether the current rainfall intensity exceeds the preset rainfall intensity threshold; if the rainfall intensity at the current moment is less than the rainfall intensity threshold, the normal rainfall model is used to calculate the drainage volume; if the rainfall intensity at the current moment is greater than or equal to the rainfall intensity threshold, the extreme rainfall model is switched to calculate the drainage volume;

[0049] If the rainfall intensity at the current moment is less than the rainfall intensity threshold, the drainage volume is calculated by combining the drainage pipe cross-sectional area and drainage flow rate in the region with the logarithmic form of rainfall intensity, aiming to smooth the impact of rainfall changes and avoid drastic changes in drainage volume caused by small rainfall fluctuations;

[0050] If the rainfall intensity at the current moment is greater than or equal to the rainfall intensity threshold, the load change of the highway drainage system under extreme rainfall is simulated by calculating the rainfall intensity exponentially, taking into account the pressure of the rapid increase of rainfall intensity on the highway drainage system, thereby achieving a reasonable assessment of the drainage capacity under extreme rainfall conditions;

[0051] The calculation formula for the drainage volume in different areas is:

[0052] ,

[0053] in, Indicates at time Time Zone Displacement of Indicates area The cross-sectional area of ​​the drainage pipe reflects the structural characteristics of the drainage facilities and is the basic parameter that determines the drainage capacity; Indicates at time Time Zone The drainage flow rate in the drainage pipe is obtained in real time through the flow rate sensor; Indicates the rainfall intensity threshold, which is used to distinguish high and low rainfall intensities; Indicates at time Time Zone the rainfall intensity; Indicates logarithmic transformation of rainfall intensity, which is used to smooth the fluctuation of rainfall intensity; It represents the exponential decay term of rainfall intensity, which is used to describe the nonlinear effect of rainfall intensity on the growth of drainage volume and simulate the trend of the gradual slowdown of drainage growth under extreme rainfall conditions. It represents the exponential attenuation coefficient, reflecting the weakening effect of rainfall intensity on the increase of drainage.

[0054] S2, based on the drainage volume and sensor data of different areas, the drainage efficiency of different areas is calculated using a dynamic nonlinear drainage efficiency evaluation algorithm;

[0055] Based on the drainage volume and sensor data of different regions, such as rainfall intensity and water level, a dynamic nonlinear drainage efficiency evaluation algorithm is used to integrate the drainage volume, rainfall change rate and water level, and conduct a comprehensive analysis of the nonlinear relationship between different variables to obtain the drainage efficiency of different regions at the current moment.

[0056] The dynamic nonlinear drainage efficiency evaluation algorithm calculates the rainfall change rate, evaluates the change of rainfall intensity at different times, captures the dynamic trend of rainfall, and normalizes the rainfall change rate according to the maximum rainfall intensity in the area;

[0057] Further processing the relationship between drainage and rainfall change rate, drainage is not only directly affected by drainage velocity and rainfall intensity, but also indirectly affected by rainfall change rate. When rainfall increases, drainage should increase accordingly, while when rainfall decreases, drainage demand will also decrease. By calculating the correction value of drainage for the current rainfall change rate, it is ensured that drainage efficiency can timely reflect the dynamic changes of weather conditions;

[0058] The water level is also a key variable that affects drainage efficiency. When the water level gradually rises, the pressure of the highway drainage system will also increase, resulting in a decrease in drainage efficiency. The exponential decay term is used to reflect the inhibitory effect of the water level on drainage efficiency, and the water level influence coefficient is introduced to control the intensity of the influence of the water level on drainage efficiency.

[0059] In actual situations, drainage efficiency does not simply increase linearly with drainage volume, but when it reaches a certain critical point, the drainage efficiency increases slowly. In order to be close to the operating characteristics of the actual highway drainage system, a nonlinear adjustment term is used to describe the relationship between drainage volume and drainage efficiency.

[0060] The calculation formula for drainage efficiency in different areas is:

[0061] ,

[0062] in, Indicates at time Time Zone Drainage efficiency, used to quantify the performance of highway drainage systems; Indicates at time Time Zone Displacement of It indicates the rainfall change rate, that is, the speed of change of rainfall intensity per unit time, which is used to reflect whether the rainfall is accelerating or weakening; Indicates at time Time Zone the rainfall intensity; Indicates area The maximum rainfall intensity recorded in the historical data is used to normalize the rainfall change rate; It represents the influence weight of rainfall change rate on drainage efficiency, which is used to adjust the sensitivity of drainage efficiency to rainfall change rate; Indicates the correction value of the current rainfall change rate to the drainage; represents the exponential decay term, which is used to reflect the inhibitory effect of water level on drainage efficiency. As the water level increases, the inhibitory effect of water level on drainage efficiency increases; Indicates at time Time Zone The water level height; Indicates the water level influence coefficient, which is used to control the influence of water level height on drainage efficiency; It represents the adjustment coefficient, which is used to control the influence intensity of the nonlinear adjustment term of the drainage volume and reflects the sensitivity of the drainage efficiency to the change of the drainage volume; Represents the nonlinear adjustment term of the displacement; represents the hyperbolic tangent function, which is used to provide nonlinear regulation and saturation protection so as to smoothly cope with the change of drainage volume and prevent abnormal growth of drainage efficiency; Indicates area The maximum discharge volume recorded in the historical data; the historical data comes from an existing database.

[0063] S3, based on the drainage volume of different areas, drainage efficiency of different areas and sensor data, use the dynamic prediction algorithm of water accumulation depth to calculate the water accumulation depth of different areas at the future moment;

[0064] Based on the drainage volume, drainage efficiency and sensor data of different areas, such as rainfall intensity and waterlogging depth, the waterlogging depth dynamic prediction algorithm is used to calculate the waterlogging depth of different areas at future times;

[0065] The dynamic prediction algorithm for waterlogging depth takes into account that when rain continues to fall, the waterlogging of the surface and road drainage systems will gradually increase. The rainfall intensity at the current moment is regarded as the main driving factor to evaluate the impact of rainfall intensity on waterlogging depth. Since the impact of rainfall intensity is not linearly superimposed, a logarithmic function is used to perform nonlinear processing on rainfall intensity to simulate the cumulative effect and saturation state of rainfall intensity over time in the actual environment. This ensures that when the rainfall intensity increases, the rate of growth of waterlogging depth will accelerate, but will not increase indefinitely, thereby avoiding the generation of extreme values. In light rain, the impact of waterlogging is minimal.

[0066] The performance of the highway drainage system depends not only on the drainage volume in the drainage pipe, but also on the current depth of water accumulation. When the depth of water accumulation increases, the drainage efficiency will increase, that is, the highway drainage system will drain the water more effectively when the water accumulates more. By adjusting the drainage capacity coefficient of different areas, it can ensure that it adapts to the characteristics of highway drainage systems in different areas.

[0067] The drainage efficiency is not a fixed value during the operation of the highway drainage system, but is dynamically adjusted as environmental factors change. The weight factors of drainage efficiency in different areas are introduced to adjust the impact of drainage efficiency on the prediction of waterlogging depth, which can reflect the actual operation status of the highway drainage system.

[0068] The error term is introduced to correct the uncertainty and noise in the prediction process, to ensure the physical rationality of the water depth in different areas at future moments, and to automatically correct the negative value prediction results of the water depth to zero to avoid erroneous water depth estimation;

[0069] The calculation formula for the water depth in different areas at future times is:

[0070] ,

[0071] in, Indicates at time Time Zone The water depth, i.e. the predicted water depth; Indicates the amount of change over time; Indicates at time Time Zone The depth of accumulated water is obtained through the water level sensor; Indicates at time Time Zone The rainfall intensity will affect the change of water depth; Indicates area The rainfall intensity impact coefficient is used to adjust the sensitivity of different regions to rainfall intensity. Different regions (such as low-lying areas and slope areas) will experience different levels of water accumulation in response to rainfall of the same intensity. Indicates that a logarithmic function is used to perform nonlinear processing on rainfall intensity to avoid over-amplification of the prediction results of waterlogging depth when the rainfall intensity is extremely high, while considering the cumulative impact of extremely low rainfall intensity on waterlogging; Indicates area The drainage capacity coefficient is used to measure the ability of the highway drainage system to reduce waterlogging; Indicates at time Time Zone Displacement of Indicates time Time Zone The square root of the water depth is processed to simulate the nonlinear drainage effect, reflecting the gradual slowdown in the efficiency improvement of the highway drainage system when the water accumulates more. Indicates area The weight factor of drainage efficiency is used to adjust the impact of drainage efficiency on the prediction of waterlogging depth; Indicates at time Time Zone drainage efficiency; Indicates area The error term is used to correct the uncertainty and noise effects in the prediction process; It is used to ensure that the prediction results of waterlogging depth will not have negative values, that is, the waterlogging depth of different areas in the future will always remain within a reasonable non-negative range;

[0072] S4. Based on the drainage volume of different areas, the drainage efficiency of different areas, sensor data and the depth of water accumulation in different areas at future times, the highway drainage system operation status scoring algorithm is used to calculate the highway drainage system operation status scores of different areas; based on the highway drainage system operation status scores, the operation status of the highway drainage system is determined;

[0073] Based on the drainage volume, drainage efficiency, sensor data and water depth in different areas at future times, the highway drainage system operation status scoring algorithm is used to calculate the highway drainage system operation status scores in different areas;

[0074] The highway drainage system operation status scoring algorithm integrates historical data and the depth of water accumulation in different areas at future moments, and quantitatively scores the operation status of the highway drainage system in the region through time decay and periodicity analysis, thereby obtaining the highway drainage system operation status scores in different areas, thereby ensuring that the highway drainage system operation status scores in different areas can reflect the actual status and potential risks of the highway drainage systems in different areas.

[0075] The historical data is accumulated within a specific time interval using integration, but it is not a simple addition. Instead, a time decay factor is introduced so that the impact of historical data decreases over time. The impact of periodic data is further considered. For example, during long-term rainfall or frequent rainfall seasons, the periodic fluctuations of rainfall and water accumulation will have a cumulative impact on the pressure of the highway drainage system. A periodic weight term is introduced to capture the fluctuation frequency and amplitude of data (such as drainage volume, drainage efficiency, and water accumulation depth) to optimize the accuracy of drainage system operation status scores in different regions.

[0076] It not only relies on historical data and current data, but also integrates the water depth of different areas at future times to quantify the impact of the impending waterlogging on the current drainage system operation status scores of different areas. By reasonably designing the weight coefficients of the water depth of different areas at future times, the water depth of different areas at future times is dynamically combined with the current drainage system operation status scores of different areas, thereby improving the foresight and accuracy of the overall score.

[0077] The calculation formula for the highway drainage system operation status score in different areas is:

[0078] ,

[0079] in, Indicates at time Time Zone The highway drainage system operation status score; Indicates the time interval Variables within The average is taken after accumulation to avoid the deviation caused by too long or too short time period, ensuring that the highway drainage system operation status score has time balance; It represents the time decay factor, reflecting that the influence of historical data will decrease over time; Represents the time decay coefficient, which is used to perform time decay processing on historical data; Indicates at time Time Zone Depth of water accumulation; Represents the periodic weight term, which is used to simulate the periodic fluctuations of the highway drainage system, such as diurnal or seasonal changes; Represents the frequency parameter, which is used to control the frequency of periodic fluctuations; Indicates area The maximum ponding depth recorded in the historical data is used to normalize the ponding depth; It indicates the effect of amplifying the depth of ponding by the square; Indicates at time Time Zone drainage efficiency; Indicates at time Time Zone Displacement of Represents a very small positive number used to prevent the denominator from being zero; Indicates the future time zone The weight coefficient of the water depth is used to control the influence of the water depth in different areas in the future on the highway drainage system operation status score;

[0080] According to the highway drainage system operation status score, the operation status of the highway drainage system is determined according to the judgment logic, and corresponding management measures are triggered;

[0081] The determination logic compares the highway drainage system operation status score with a preset score threshold to determine the operation status of the highway drainage system; if the highway drainage system operation status score is greater than or equal to the preset score threshold, the highway drainage system operation status is normal; if the highway drainage system operation status score is less than the preset score threshold, the highway drainage system operation status is abnormal; the determination logic formula is as follows:

[0082] ,

[0083] in, Indicates area If the highway drainage system is operating normally, the monitoring will continue; if the highway drainage system is operating abnormally, the management personnel will be notified immediately to take measures.

[0084] In summary, a method for evaluating the operating status of a highway drainage system was completed.

[0085] The order of the embodiments of the invention is for description only and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0086] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

[0087] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that the technical solutions described in the above embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the protection scope of the present invention.

Claims

1. A method for evaluating the operating status of a highway drainage system, characterized in that: The following steps are involved: S1. Acquire sensor data of different regions in real time, wherein the sensor data includes rainfall intensity, water level, drainage velocity, and water accumulation depth; based on the sensor data of different regions, use a rainfall-drainage correlation calculation algorithm based on a segmented model to calculate the drainage volume of different regions; S2. Based on the drainage volume and sensor data of different areas, the dynamic nonlinear drainage efficiency evaluation algorithm is used to calculate the drainage efficiency of different areas. The specific calculation formula is: ， in, Indicates at time Time Zone drainage efficiency; Indicates at time Time Zone Displacement of Indicates at time Time Zone the rainfall intensity; represents the rainfall change rate; Indicates area The maximum rainfall intensity recorded in the historical data is used to normalize the rainfall change rate; represents the influence weight of rainfall variation rate on drainage efficiency; Indicates at time Time Zone The water level height; represents the water level influence coefficient; represents the adjustment factor; represents the hyperbolic tangent function; Indicates area The maximum discharge recorded in historical data; S3. Based on the drainage volume, drainage efficiency and sensor data of different areas, the water depth dynamic prediction algorithm is used to calculate the water depth of different areas at the future time. The specific calculation formula is: ， in, For in time Time Zone The water depth represents the predicted result of water depth; Indicates the amount of change over time; Indicates at time Time Zone Depth of water accumulation; Indicates area Rainfall intensity influence coefficient; Indicates area Drainage capacity coefficient; Indicates area Weighting factor for drainage efficiency; Indicates area The error term of S4. Based on the drainage volume, drainage efficiency, sensor data and water depth in different areas at future times, the highway drainage system operation status scoring algorithm is used to introduce time attenuation factors and periodic weight items to quantitatively score the operation status of the highway drainage system in the region. The operation status scores of highway drainage systems in different areas are calculated. The specific formula is: ， in, Indicates at time Time Zone The highway drainage system operation status score; Indicates a time interval; represents the time decay factor; represents the time attenuation coefficient; Indicates at time Time Zone Depth of water accumulation; represents the periodic weight term; represents the frequency parameter; Indicates area The maximum depth of water accumulation recorded in the historical data; Indicates at time Time Zone drainage efficiency; Indicates at time Time Zone Displacement of Represents a very small positive number used to prevent the denominator from being zero; Indicates the future time zone The weight coefficient of the water depth; The operating status of the highway drainage system is determined based on the highway drainage system operating status score.

2. A method for evaluating the operating status of a highway drainage system according to claim 1, characterized in that: The S1 specifically includes: In the implementation process of the rainfall-drainage correlation calculation algorithm based on the segmented model, the drainage capacity of each area is evaluated based on the rainfall intensity and drainage flow rate; a rainfall intensity threshold is set, and the rainfall intensity in different areas is compared with the rainfall intensity threshold to determine whether the current rainfall intensity exceeds the rainfall intensity threshold; when the rainfall intensity at the current moment is less than the rainfall intensity threshold, the normal rainfall model is used to calculate the drainage; when the rainfall intensity at the current moment is greater than or equal to the rainfall intensity threshold, the extreme rainfall model is switched to calculate the drainage.

3. A method for evaluating the operating status of a highway drainage system according to claim 2, characterized in that: The S1 specifically includes: When the rainfall intensity at the current moment is less than the rainfall intensity threshold, the drainage volume is calculated by combining the cross-sectional area of ​​the drainage pipes and the drainage flow rate in the area with the logarithmic form of the rainfall intensity; when the rainfall intensity at the current moment is greater than or equal to the rainfall intensity threshold, the drainage volume is calculated by performing an exponential calculation of the rainfall intensity.

4. A method for evaluating the operating status of a highway drainage system according to claim 1, characterized in that: The S3 specifically includes: The dynamic prediction algorithm for waterlogging depth adopts a logarithmic function to perform nonlinear processing on rainfall intensity, and introduces weight factors of drainage efficiency in different regions to adjust the influence of drainage efficiency on waterlogging depth prediction.

5. The method for evaluating the operating status of a highway drainage system according to claim 1, characterized in that: The S4 specifically includes: The highway drainage system operation status score is compared with the preset score threshold to determine the operation status of the highway drainage system; when the highway drainage system operation status score is greater than or equal to the preset score threshold, the operation status of the highway drainage system is normal; when the highway drainage system operation status score is less than the preset score threshold, the operation status of the highway drainage system is abnormal; based on the operation status of the highway drainage system, corresponding management measures are triggered.

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