A method and system for testing ice and snow road surface simulation

Abstract

The application provides a kind of ice and snow road surface simulation experiment test method and system, it is related to road engineering intelligent construction technical field, the method includes: obtaining test pavement data;Obtain melting water data;Obtain simulation test data;According to the ice and snow density of road surface and simulation test data, determine test environment severity coefficient;According to the road surface friction coefficient, road surface ice and snow thickness and melting water data, determine comprehensive melting effect coefficient;According to test environment severity coefficient and comprehensive melting effect coefficient, determine snow-melting agent effect coefficient;Obtain second road surface ice and snow thickness;According to second road surface ice and snow thickness, determine anti-refreezing effect coefficient;According to snow-melting agent effect coefficient and anti-refreezing effect coefficient, determine test report.According to the application, it can realize the repeated road surface ice and snow melting test experiment under controllable ice and snow environment condition, with good data stability.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent construction of road engineering, and in particular to an ice and snow road surface simulation experiment testing method and system. BACKGROUND

[0002] In the related art, the ice and snow melting process on a full-size road surface under real conditions can be simulated, however, the melting effect and anti-freezing effect of the snow-melting agent are not evaluated, that is, it is difficult to evaluate the melting effect and anti-freezing effect of the snow-melting agent, and the accuracy of the ice and snow road surface simulation experiment testing result is improved.

[0003] The information disclosed in the background section of this application is only intended to deepen the understanding of the general background of the application and should not be regarded as acknowledging or implying in any form that the information constitutes prior art known to those skilled in the art. SUMMARY

[0004] The present application provides an ice and snow road surface simulation experiment testing method and system, which can solve the technical problem that the melting effect and anti-freezing effect of the snow-melting agent are difficult to evaluate in the related art, and improve the accuracy of the ice and snow road surface simulation experiment testing result.

[0005] According to a first aspect of the present application, an ice and snow road surface simulation experiment testing method is provided, comprising:

[0006] In the first test period, test road surface data is acquired by a sensor arranged at a preset position, wherein the test road surface data includes a road surface friction coefficient, a road surface ice and snow density, and a road surface ice and snow thickness;

[0007] In the first test period, simulation test data is acquired, wherein the simulation test data includes a test environment temperature, a test environment humidity, a test rainfall, and a test snowfall;

[0008] At the end of the first test period, melting accumulated water data is acquired;

[0009] According to the road surface ice and snow density and the simulation test data, a test environment severity coefficient is determined;

[0010] According to the road surface friction coefficient, the road surface ice and snow thickness, and the melting accumulated water data, a comprehensive melting effect coefficient is determined;

[0011] According to the test environment severity coefficient and the comprehensive melting effect coefficient, a snow-melting agent effect coefficient is determined;

[0012] In the second test period, a second road surface ice and snow thickness is acquired by a sensor arranged at a preset position;

[0013] determine an anti-freezing effect coefficient according to the second road ice and snow thickness;

[0014] determine a test report according to the snow-melting agent effect coefficient and the anti-freezing effect coefficient.

[0015] According to the application, determine a test environment severity coefficient according to the road ice and snow density and the simulation test data, including:

[0016] determine a road ice and snow type according to the road ice and snow density;

[0017] determine an ice and snow environment severity coefficient according to the road ice and snow type;

[0018] obtain historical test data in a historical test period, wherein the historical test data includes: historical test temperature, historical test humidity, historical test wind speed, historical test rainfall, historical test snowfall and historical test ice layer thickness;

[0019] determine a first relationship function between the historical test ice layer thickness and the historical test temperature, the historical test humidity, the historical test wind speed, the historical test rainfall and the historical test snowfall;

[0020] determine a comprehensive environment severity coefficient according to the first relationship function and the simulation test data;

[0021] determine a test environment severity coefficient according to the ice and snow environment severity coefficient and the comprehensive environment severity coefficient.

[0022] According to the application, determine a first relationship function between the historical test ice layer thickness and the historical test temperature, the historical test humidity, the historical test wind speed, the historical test rainfall and the historical test snowfall, including: according to the formula:

[0023]

[0024] determine a first undetermined coefficient equation of the first relationship function, wherein, is the historical test ice layer thickness at the start time of the jth historical test period, is the historical test ice layer thickness at the end time of the jth historical test period, is the time length of the jth historical test period, is a preset icing speed threshold value, is the historical test wind speed of the jth historical test period, is a preset wind speed threshold value, is the historical test rainfall of the jth historical test period, is a preset rainfall threshold value, a historical test snowfall of a jth historical test period, a preset snowfall threshold, a historical test humidity of the jth historical test period, a preset humidity threshold, a historical test temperature of the jth historical test period, a preset temperature threshold, 、 、 、 、 、 、 、 、 、 、 and a first undetermined coefficient of the first undetermined coefficient equation;

[0025] solving the first undetermined coefficient according to the historical test ice layer thickness, the historical test temperature, the historical test humidity, the historical test wind speed, the historical test rainfall and the historical test snowfall, to obtain a solution value of the first undetermined coefficient;

[0026] determining a first relationship function according to the solution value of the first undetermined coefficient and the first undetermined coefficient equation.

[0027] According to the present application, the comprehensive melting effect coefficient is determined according to the road surface friction coefficient, the road surface ice and snow thickness and the melting water data, comprising:

[0028] determining a metal corrosion mass, a heavy metal content, a chloride ion concentration and an oxygen demand ratio according to the melting water data;

[0029] determining an environmental protection effect coefficient according to the metal corrosion mass, the heavy metal content, the chloride ion concentration and the oxygen demand ratio;

[0030] determining a melting effect coefficient according to the road surface friction coefficient and the road surface ice and snow thickness;

[0031] determining the comprehensive melting effect coefficient according to the environmental protection effect coefficient and the melting effect coefficient.

[0032] According to the present application, the environmental protection effect coefficient is determined according to the metal corrosion mass, the heavy metal content, the chloride ion concentration and the oxygen demand ratio, comprising:

[0033] determining a first ratio according to the metal corrosion mass and a preset metal corrosion mass threshold;

[0034] determining a second ratio according to the heavy metal content and a preset heavy metal content threshold value;

[0035] determining a third ratio according to the chloride ion concentration and a preset chloride ion concentration threshold value;

[0036] determining a fourth ratio according to the oxygen demand ratio and a preset oxygen demand ratio threshold value;

[0037] determining an environmental protection effect coefficient according to the first ratio, the second ratio, the third ratio and the fourth ratio.

[0038] According to the present application, a thawing effect coefficient is determined according to the road surface friction coefficient and the road surface ice and snow thickness, comprising:

[0039] determining an ice and snow thickness change rate at a plurality of time points in the first test period according to the road surface ice and snow thickness;

[0040] determining a friction coefficient increase amplitude value according to the road surface friction coefficient;

[0041] determining an ice and snow thickness thawing value according to the road surface ice and snow thickness;

[0042] determining a thawing effect coefficient according to the road surface ice and snow thickness change rate, the friction coefficient increase amplitude value and the ice and snow thickness thawing value.

[0043] According to the present application, a thawing effect coefficient is determined according to the road surface ice and snow thickness change rate, the friction coefficient increase amplitude value and the ice and snow thickness thawing value, comprising: according to the formula:

[0044]

[0045] determining a thawing effect coefficient of the kth first test period wherein, and is a preset weight value, is an ice and snow thickness change rate at the ith time point of the kth first test period, is a preset ice and snow thickness change rate threshold value, is an ice and snow thickness thawing value of the kth first test period, is a preset ice and snow thickness thawing value threshold value, is a friction coefficient increase amplitude value of the kth first test period, is a preset friction coefficient increase amplitude value threshold value.

[0046] According to the present application, an anti-refreezing effect coefficient is determined according to the second road surface ice and snow thickness, comprising:

[0047] determining a second road surface ice and snow thickness change rate according to the second road surface ice and snow thickness;

[0048] determining an expected road ice and snow thickness change rate according to the first relationship function and the simulation test data;

[0049] determining an anti-re-freeze effect coefficient according to the second road ice and snow thickness change rate and the expected road ice and snow thickness change rate.

[0050] According to a second aspect of the present application, there is provided an ice and snow road simulation experiment test system, comprising:

[0051] a first test module, configured to acquire test road data by a sensor arranged at a preset position in a first test period, wherein the test road data comprises a road friction coefficient, a road ice and snow density and a road ice and snow thickness;

[0052] a test data module, configured to acquire simulation test data in the first test period, wherein the simulation test data comprises a test environment temperature, a test environment humidity, a test rainfall and a test snowfall;

[0053] a water accumulation data module, configured to acquire melting water accumulation data at an end time of the first test period;

[0054] a harshness coefficient module, configured to determine a test environment harshness coefficient according to the road ice and snow density and the simulation test data;

[0055] a melting coefficient module, configured to determine a comprehensive melting effect coefficient according to the road friction coefficient, the road ice and snow thickness and the melting water accumulation data;

[0056] an effect coefficient module, configured to determine a snow-melting agent effect coefficient according to the test environment harshness coefficient and the comprehensive melting effect coefficient;

[0057] a second test module, configured to acquire a second road ice and snow thickness by a sensor arranged at a preset position in a second test period;

[0058] a re-freeze coefficient module, configured to determine an anti-re-freeze effect coefficient according to the second road ice and snow thickness;

[0059] a test report module, configured to determine a test report according to the snow-melting agent effect coefficient and the anti-re-freeze effect coefficient.

[0060] Technical effects: According to the present application, the melting of ice and snow on the road surface in the real environment can be accurately simulated. In the first test period, the test road data, simulation test data and melting water data can be accurately collected, and the comprehensive melting effect of the snow-melting agent can be accurately analyzed. In the second test period, the anti-freezing effect of the snow-melting agent can be accurately analyzed, the repeated road ice and snow melting test under controllable ice and snow environment conditions can be realized, and the accuracy and stability of the ice and snow road simulation test are improved. When determining the first relationship function, the first relationship function can be determined according to the historical test ice thickness, historical test temperature, historical test humidity, historical test wind speed, historical test rainfall and historical test snowfall, which can accurately describe the positive and negative effects of wind speed on the growth rate of ice thickness, and the effects of temperature, humidity, rainfall and snowfall on the growth rate of ice thickness, and improve the accuracy of the first relationship function. When determining the melting effect coefficient, the road ice and snow thickness change rate, friction coefficient increase value and road ice and snow thickness melting value can be used to determine the comprehensive snow-melting performance of the snow-melting agent, the recovery friction performance of the snow-melting agent can be determined according to the friction coefficient increase value, and the melting effect coefficient can be determined according to the comprehensive snow-melting performance and the recovery friction performance, thereby improving the comprehensiveness of the melting effect coefficient.

[0061] It should be understood that the above general description and the following detailed description are exemplary and explanatory, but not limiting the present application. Other features and aspects of the present application will be more apparent from the following detailed description of exemplary embodiments with reference to the accompanying drawings. BRIEF DESCRIPTION OF DRAWINGS

[0062] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed in the embodiment or prior art description will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present application, and those skilled in the art can also obtain other embodiments from these drawings without creative labor.

[0063] Figure 1 Exemplarily, a flowchart of an ice and snow road simulation test method according to an embodiment of the present application is shown;

[0064] Figure 2 Exemplarily, a schematic diagram of determining a test environment severity coefficient according to an embodiment of the present application is shown;

[0065] Figure 3 Exemplarily, a schematic diagram of determining a comprehensive melting effect coefficient according to an embodiment of the present application is shown;

[0066] Figure 4A schematic diagram of determining an anti-freezing effect coefficient according to an embodiment of the present application is shown exemplarily.

[0067] Figure 5 A block diagram of an ice and snow road surface simulation experiment test system according to an embodiment of the present application is shown exemplarily. DETAILED DESCRIPTION

[0068] To make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described below in connection with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0069] The technical solutions of the present application will be described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and some embodiments can not be described again for the same or similar concepts or processes.

[0070] Figure 1 A flowchart of an ice and snow road surface simulation experiment test method according to an embodiment of the present application is shown exemplarily, and the method comprises:

[0071] Step S1, in a first test period, acquiring test road surface data by a sensor arranged at a preset position, wherein the test road surface data comprises a road surface friction coefficient, a road surface ice and snow density and a road surface ice and snow thickness;

[0072] Step S2, in the first test period, acquiring simulation test data, wherein the simulation test data comprises a test environment temperature, a test environment humidity, a test rainfall and a test snowfall;

[0073] Step S3, at an end time of the first test period, acquiring melting water accumulation data;

[0074] Step S4, determining a test environment severity coefficient according to the road surface ice and snow density and the simulation test data;

[0075] Step S5, determining a comprehensive melting effect coefficient according to the road surface friction coefficient, the road surface ice and snow thickness and the melting water accumulation data;

[0076] Step S6, determining a snow-melting agent effect coefficient according to the test environment severity coefficient and the comprehensive melting effect coefficient;

[0077] Step S7, in a second test period, acquiring a second road surface ice and snow thickness by a sensor arranged at a preset position;

[0078] Step S8, determining an anti-refreezing effect coefficient according to the second road ice and snow thickness;

[0079] Step S9, determining a test report according to the snow-melting agent effect coefficient and the anti-refreezing effect coefficient.

[0080] The ice and snow road simulation experiment test method according to the embodiment of the present application can accurately simulate the ice and snow melting process of a highway road in a real environment, accurately collect test road data, simulation test data and melting water data in a first test period, accurately analyze the comprehensive melting effect of a snow-melting agent, accurately analyze the anti-refreezing effect of the snow-melting agent in a second test period, realize a low-cost repeated road ice and snow melting test experiment under controllable ice and snow environment conditions, and improve the accuracy and stability of the ice and snow road simulation experiment test.

[0081] According to an embodiment of the present application, in step S1, in the first test period, the test road data is acquired by the sensor arranged at the preset position, wherein the test road data includes a road friction coefficient, a road ice and snow density and a road ice and snow thickness.

[0082] For example, before the start of the first test period, the experimental road is sprayed or snowed, and an ice and snow layer with a certain density and thickness is manufactured on the surface of the experimental road. In a plurality of first test periods, different types of snow-melting agents (for example, 20%, 30% and 50% concentration OL organic liquid snow-melting agent, 20%, 30% and 50% concentration IL inorganic liquid snow-melting agent, and 0%, 30% and 50% concentration MS solid mixed snow-melting agent) are used to remove the ice and snow layer of the experimental road. The road ice and snow thickness is acquired by the remote sensing road sensor, and the ice and snow layer on the surface of the experimental road is sampled to detect the road friction coefficient and the road ice and snow density.

[0083] According to an embodiment of the present application, in step S2, in the first test period, the simulation test data is acquired, wherein the simulation test data includes a test environment temperature, a test environment humidity, a test rainfall and a test snowfall.

[0084] For example, in the first test period, the rainfall and snowfall are performed on the experimental road by the snow making machine and the rain system, for simulating the influence of snowfall or rainwater on the road ice and snow melting. The test rainfall and test snowfall are acquired by the control system of the snow making machine and the rain system, and the test environment temperature and test environment humidity of the environment where the experimental road is located are acquired by the temperature sensor and the humidity sensor.

[0085] According to an embodiment of the present application, in step S3, at the end time of the first test period, the melting water data is acquired.

[0086] For example, in the first test period, according to the thickness of the road ice and snow, the thickness of the road ice and snow is determined, when the thickness of the road ice and snow is less than 0.05 mm / min, the time corresponding to the thickness of the road ice and snow is set as the end time of the first test period, at the end time of the first test period, the melted water is detected, and the melted water data is obtained, such as the heavy metal content and the chloride ion concentration in the water.

[0087] According to one embodiment of the present application, in step S4, according to the road ice and snow density and the simulation test data, the test environment severity coefficient is determined.

[0088] Figure 2 An exemplary schematic diagram of determining the test environment severity coefficient according to an embodiment of the present application is shown.

[0089] According to one embodiment of the present application, step S4 comprises:

[0090] Step S41, according to the road ice and snow density, the road ice and snow type is determined;

[0091] Step S42, according to the road ice and snow type, the ice and snow environment severity coefficient is determined;

[0092] Step S43, in the historical test period, the historical test data is obtained, wherein the historical test data comprises: historical test temperature, historical test humidity, historical test wind speed, historical test rainfall, historical test snowfall and historical test ice layer thickness;

[0093] Step S44, the first relationship function between the historical test ice layer thickness and the historical test temperature, the historical test humidity, the historical test wind speed, the historical test rainfall and the historical test snowfall is determined;

[0094] Step S45, according to the first relationship function and the simulation test data, the comprehensive environment severity coefficient is determined;

[0095] Step S46, according to the ice and snow environment severity coefficient and the comprehensive environment severity coefficient, the test environment severity coefficient is determined.

[0096] For example, if the density of the road ice and snow is between 0.05-0.3 (g / cm3), the road ice and snow type is “new snow”, if the density of the road ice and snow is between 0.3-0.7 (g / cm3), the road ice and snow type is “compacted snow”, if the density of the road ice and snow is greater than 0.7 (g / cm3), the road ice and snow type is “black ice”; if the road ice and snow type is “new snow”, the density is low, the treatment is easier, the ice and snow environment harshness coefficient is 1, if the road ice and snow type is “compacted snow”, the treatment is difficult to a certain extent, the ice and snow environment harshness coefficient is 2, if the road ice and snow type is “black ice”, the treatment is difficult, the ice and snow environment harshness coefficient is 3; in the historical test period, the growth speed of the ice and snow layer of the experimental road under certain environmental conditions without using snow melting agent is tested, the historical test temperature, the historical test humidity, the historical test wind speed, the historical test rainfall, the historical test snowfall and the historical test ice layer thickness in multiple historical test periods are obtained; the ice layer thickness is related to the temperature, the humidity, the wind speed, the rainfall and the snowfall to a certain extent, for example, when the temperature is higher, the ice layer thickness can be thinner. Based on the correlation of the above data, the first relationship function between the historical test ice layer thickness and the historical test temperature, the historical test humidity, the historical test wind speed, the historical test rainfall and the historical test snowfall can be determined; the simulation test data is substituted into the first relationship function, the predicted growth speed of the ice and snow layer thickness in the first test period without using snow melting agent is determined, according to the ratio of the predicted growth speed and the preset growth speed threshold, the comprehensive environment harshness coefficient is determined, the greater the comprehensive environment harshness coefficient, the faster the natural growth of the ice and snow layer thickness under the environment of the first test period, the more difficult the deicing, the preset growth speed threshold can be set to 1 mm / min; the test environment harshness coefficient is determined by summing the ice and snow environment harshness coefficient and the comprehensive environment harshness coefficient.

[0097] According to one embodiment of the present application, step S45 comprises: determining the first undetermined coefficient equation of the first relationship function according to formula (1),

[0098] (1)

[0099] wherein, is the historical test ice layer thickness at the start moment of the jth historical test period, is the historical test ice layer thickness at the end moment of the jth historical test period, is the time length of the jth historical test period, is a preset icing speed threshold, is the historical test wind speed of the jth historical test period, is a preset wind speed threshold, is the historical test rainfall of the jth historical test period, is a preset rainfall threshold value, is a historical test rainfall of the jth historical test period, is a preset snowfall threshold value, is a historical test humidity of the jth historical test period, is a preset humidity threshold value, is a historical test temperature of the jth historical test period, is a preset temperature threshold value, , , , , , , , , , , and is a first undetermined coefficient of the first undetermined coefficient equation;

[0100] solving the first undetermined coefficient according to the historical test ice layer thickness, the historical test temperature, the historical test humidity, the historical test wind speed, the historical test rainfall and the historical test snowfall, to obtain a solution value of the first undetermined coefficient;

[0101] determining a first relationship function according to the solution value of the first undetermined coefficient and the first undetermined coefficient equation.

[0102] According to one embodiment of the present application, , , , , and are all dimensionless values.

[0103] According to one embodiment of the present application, is a ratio of a difference between an ending time and a starting time of the jth historical test period and a length of the jth historical test period, representing an average growth rate of the test ice layer thickness of the jth historical test period, is a ratio of the average growth rate of the test ice layer thickness of the jth historical test period and a preset ice formation speed threshold value, which can be set as 0.5 mm / min, is a ratio of the historical test wind speed of the jth historical test period and a preset wind speed threshold value, which can be set as 2 m / s, the average growth rate of the test ice layer thickness of the jth historical test period has a positive correlation with the historical test wind speed, for example, the greater the wind speed, the faster the heat dissipation, the faster the average growth rate of the test ice layer thickness, the average growth rate of the test ice layer thickness of the jth historical test period has a negative correlation with the historical test wind speed, for example, the greater the wind speed, the greater the water film on the ground that can be blown away, the less the amount of water that can freeze, the slower the average growth rate of the test ice layer thickness, is the ratio of the historical test rainfall of the jth historical test period to a preset rainfall threshold, and the preset rainfall threshold can be set to 1 mm, the average growth rate of the test ice layer thickness of the jth historical test period has a positive correlation with the historical test rainfall, for example, the greater the rainfall, the more water that can be used to freeze to form an ice layer, and the relatively faster the average growth rate of the test ice layer thickness, is the ratio of the historical test snowfall of the jth historical test period to a preset snowfall threshold, and the preset snowfall threshold can be set to 1 mm, the average growth rate of the test ice layer thickness of the jth historical test period has a positive correlation with the historical test snowfall, for example, the greater the snowfall, the more new snow that can be accumulated and then melted to form an ice layer, and the relatively faster the average growth rate of the test ice layer thickness, is the ratio of the historical test humidity of the jth historical test period to a preset humidity threshold, and the preset humidity threshold can be set to 60% RH, the average growth rate of the test ice layer thickness of the jth historical test period has a positive correlation with the historical test humidity, for example, the greater the environmental humidity, the greater the amount of water vapor that can be condensed to supplement the ice layer, and the relatively faster the average growth rate of the test ice layer thickness, is the ratio of the historical test temperature of the jth historical test period to a preset temperature threshold, and the preset temperature threshold can be set to 1 degree Celsius, the average growth rate of the test ice layer thickness of the jth historical test period has a negative correlation with the historical test temperature, for example, the higher the temperature, the slower the average growth rate of the test ice layer thickness. Based on the above correlation relationships, a first undetermined coefficient equation of a first relationship function can be obtained.

[0104] According to one embodiment of the present application, the above first undetermined coefficient equation involves multiple parameters, that is, the historical test ice layer thickness, the historical test temperature, the historical test humidity, the historical test wind speed, the historical test rainfall, and the historical test snowfall are fitted to solve the above multiple first undetermined coefficients. There are 12 first undetermined coefficients, that is, ​​​、 、 、 、 、 、 、 and solving values of the 12 first undetermined coefficients are substituted into the first undetermined coefficient equation, and the first relationship function is determined.

[0105] In this way, the first relationship function can be determined according to the historical test ice layer thickness, the historical test temperature, the historical test humidity, the historical test wind speed, the historical test rainfall and the historical test snowfall, and the positive and negative effects of the wind speed on the ice layer thickness growth rate and the effects of the temperature, the humidity, the rainfall and the snowfall on the ice layer thickness growth rate can be accurately described, thereby improving the accuracy of the first relationship function.

[0106] According to an embodiment of the present application, in step S5, a comprehensive melting effect coefficient is determined according to the road surface friction coefficient, the road surface ice and snow thickness and the melting water data.

[0107] Figure 3 An exemplary schematic diagram of determining the comprehensive melting effect coefficient according to an embodiment of the present application is shown.

[0108] According to an embodiment of the present application, step S5 includes:

[0109] In step S51, a metal corrosion quality, a heavy metal content, a chloride ion concentration and an oxygen demand ratio are determined according to the melting water data.

[0110] In step S52, an environmental protection effect coefficient is determined according to the metal corrosion quality, the heavy metal content, the chloride ion concentration and the oxygen demand ratio.

[0111] In step S53, a melting effect coefficient is determined according to the road surface friction coefficient and the road surface ice and snow thickness.

[0112] In step S54, the comprehensive melting effect coefficient is determined according to the environmental protection effect coefficient and the melting effect coefficient.

[0113] For example, the metal test piece is immersed in the accumulated water, and the metal test piece is subjected to constant temperature box accelerated aging, the mass loss of the metal test piece, i.e., the metal corrosion mass, is detected, the heavy metal content in the accumulated water is detected by graphite furnace atomic absorption method and inductively coupled plasma mass spectrometry, the chloride ion concentration in the accumulated water is detected by ion chromatography, the chemical oxygen demand is determined by potassium dichromate digestion-spectrophotometry, the biological oxygen demand is detected by five-day culture method, and the oxygen demand ratio is determined according to the ratio of the biological oxygen demand and the chemical oxygen demand; the influence of the accumulated water after the ice and snow layer is melted on the environment is evaluated according to the metal corrosion mass, the heavy metal content, the chloride ion concentration and the oxygen demand ratio, and the environmental protection effect coefficient is determined; the melting effect of the snow-melting agent on the ice and snow layer is evaluated according to the road surface friction coefficient and the road surface ice and snow thickness, and the melting effect coefficient is determined; and the comprehensive melting effect coefficient is determined by summing the environmental protection effect coefficient and the melting effect coefficient.

[0114] According to one embodiment of the present application, step S52 comprises:

[0115] Step S521, determining an environmental protection effect coefficient according to the metal corrosion mass, the heavy metal content, the chloride ion concentration and the oxygen demand ratio, comprises:

[0116] Step S522, determining a first ratio according to the metal corrosion mass and a preset metal corrosion mass threshold value;

[0117] Step S523, determining a second ratio according to the heavy metal content and a preset heavy metal content threshold value;

[0118] Step S524, determining a third ratio according to the chloride ion concentration and a preset chloride ion concentration threshold value;

[0119] Step S525, determining a fourth ratio according to the oxygen demand ratio and a preset oxygen demand ratio threshold value;

[0120] Step S526, determining an environmental protection effect coefficient according to the first ratio, the second ratio, the third ratio and the fourth ratio.

[0121] For example, a first ratio is determined according to a preset metal corrosion mass threshold and a ratio of the metal corrosion mass, a second ratio is determined according to a preset heavy metal content threshold and a ratio of the heavy metal content, a third ratio is determined according to a preset chloride ion concentration threshold and a ratio of the chloride ion concentration, and a fourth ratio is determined according to a preset oxygen demand ratio threshold and a ratio of a difference between the preset oxygen demand ratio threshold and the oxygen demand ratio. The environmental protection effect coefficient is determined by summing the first ratio, the second ratio, the third ratio and the fourth ratio. The preset metal corrosion mass threshold can be set to 1 g. The greater the ratio of the preset metal corrosion mass threshold and the metal corrosion mass, the smaller the metal corrosion mass, the smaller the corrosion of the accumulated water after the ice and snow layer melts on the vehicle tires and chassis metal parts, and the greater the environmental protection effect coefficient. The preset heavy metal content threshold can be set to 0.001 mg / L. The greater the ratio of the preset heavy metal content threshold and the heavy metal content, the smaller the heavy metal content of the accumulated water after the ice and snow layer melts, the smaller the harm of the accumulated water to the environment, and the greater the environmental protection effect coefficient. The preset chloride ion concentration threshold can be set to 250 mg / L. The greater the ratio of the preset chloride ion concentration threshold and the chloride ion concentration, the smaller the chloride ion concentration, the smaller the harm of the accumulated water after the ice and snow layer melts to the environment, and the greater the environmental protection effect coefficient. The preset oxygen demand ratio threshold can be set to 0.3. The greater the ratio of the preset oxygen demand ratio threshold and the difference between the preset oxygen demand ratio threshold and the oxygen demand ratio, the closer the oxygen demand ratio to the preset oxygen demand ratio threshold, the smaller the harm of the accumulated water after the ice and snow layer melts to the environment, and the greater the environmental protection effect coefficient. When the oxygen demand ratio is too large, it may cause accumulation of non-degradable organic matter, causing long-term toxic effects (e.g., carcinogen enrichment). When the oxygen demand ratio is too small, it may cause rapid reproduction of microorganisms, causing hydration or red tide phenomenon. The greater the environmental protection effect coefficient, the smaller the harm of the accumulated water after the ice and snow layer melts to the environment.

[0122] According to one embodiment of the present application, step S53 comprises:

[0123] Step S531, determining the ice and snow thickness change rate at multiple times in the first test period according to the road surface ice and snow thickness;

[0124] Step S532, determining the friction coefficient increment value according to the road surface friction coefficient;

[0125] Step S533, determining the ice and snow thickness melting value according to the road surface ice and snow thickness;

[0126] Step S534, determining the melting effect coefficient according to the road surface ice and snow thickness change rate, the friction coefficient increment value and the road surface ice and snow thickness melting value.

[0127] For example, according to the road surface ice and snow thickness of two adjacent time points in the first test period, the ice and snow thickness change rate of the plurality of time points in the first test period is determined; according to the road surface friction coefficient at the end time point of the first test period minus the road surface friction coefficient at the start time point, the friction coefficient increment is determined; according to the road surface ice and snow thickness at the start time point of the first test period minus the road surface ice and snow thickness at the end time point, the ice and snow thickness melting value is determined; according to the road surface ice and snow thickness change rate, the friction coefficient increment value and the road surface ice and snow thickness melting value, the snow-melting effect of the snow-melting agent is evaluated, and the melting effect coefficient is determined.

[0128] According to one embodiment of the present application, step S534 comprises: determining the melting effect coefficient of the kth first test period according to formula (2) ,

[0129] (2)

[0130] wherein, and is a preset weight value, is the ice and snow thickness change rate of the ith time point of the kth first test period, is a preset ice and snow thickness change rate threshold value, is the ice and snow thickness melting value of the kth first test period, is a preset ice and snow thickness melting value threshold value, is the friction coefficient increment value of the kth first test period, is a preset friction coefficient increment threshold value.

[0131] According to one embodiment of the present application, is the ratio of the average ice and snow thickness change rate of the ith time point of the kth first test period to the preset ice and snow thickness change rate threshold value, the larger the ratio, the stronger the snow-melting speed performance of the snow-melting agent used in the kth first test period, and the preset ice and snow thickness change rate threshold value can be set to 1 mm / min, is the ratio of the ice and snow thickness melting value of the kth first test period to the preset ice and snow thickness melting value threshold value, the larger the ratio, the stronger the snow-melting amplitude performance of the snow-melting agent used in the kth first test period, , is the ratio of the snow-melting speed performance to the snow-melting amplitude performance of the snow-melting agent used in the kth first test period, indicating the balance of the snow-melting performance of the snow-melting agent used in the kth first test period, the closer the ratio to 1, the better the balance of the snow-melting performance, indicates the imbalance of the snow-melting performance of the snow-melting agent used in the kth first test period, the larger the value, the more imbalance between the snow-melting speed and the snow-melting amplitude, The ratio of the sum of the snow-melting speed performance and the snow-melting range performance of the snow-melting agent to the unbalance of the snow-melting performance of the snow-melting agent, the greater the ratio, the stronger the snow-melting speed performance and the snow-melting range performance of the snow-melting agent, or the better the balance of the snow-melting performance, and the stronger the comprehensive snow-melting performance of the snow-melting agent.

[0132] According to one embodiment of the present application, The relative difference between the friction coefficient increase value of the kth first test period and the preset friction coefficient increase value threshold, the greater the relative difference, the greater the friction coefficient increase value of the kth first test period, the more suitable the road surface after the ice and snow layer is melted by the snow-melting agent used in the kth first test period for vehicle passing, and the stronger the recovery friction performance of the snow-melting agent used in the kth first test period.

[0133] According to one embodiment of the present application, The melting effect coefficient is determined according to the comprehensive snow-melting performance and the recovery friction performance of the snow-melting agent used in the kth first test period.

[0134] In this way, the road surface ice and snow thickness change rate, the friction coefficient increase value and the road surface ice and snow thickness melting value are used to determine the comprehensive snow-melting performance of the snow-melting agent according to the road surface ice and snow thickness change rate and the road surface ice and snow thickness melting value, to determine the recovery friction performance of the snow-melting agent according to the friction coefficient increase value, and to determine the melting effect coefficient according to the comprehensive snow-melting performance and the recovery friction performance, thereby improving the comprehensiveness of the melting effect coefficient.

[0135] According to one embodiment of the present application, in step S6, the snow-melting agent effect coefficient is determined according to the test environment harshness coefficient and the comprehensive melting effect coefficient.

[0136] For example, the snow-melting agent effect coefficient is determined by summing the test environment harshness coefficient and the comprehensive melting effect coefficient, the greater the snow-melting agent effect coefficient, the better the comprehensive snow-melting effect of the snow-melting agent in harsh conditions.

[0137] According to one embodiment of the present application, in step S7, in the second test period, the second road surface ice and snow thickness is obtained by the sensor arranged at the preset position.

[0138] For example, the second test period is used to simulate the secondary icing condition of the test road surface after snow-melting, the second test period starts three hours after the end time of the first test period, the concentration of the snow-melting agent has been basically reduced to the failure threshold at the start time of the second test period, and the road surface ice and snow thickness, i.e., the second road surface ice and snow thickness, is obtained by the remote sensing road surface sensor in the second test period.

[0139] According to one embodiment of the present application, in step S8, the anti-freezing effect coefficient is determined according to the second road ice and snow thickness.

[0140] Figure 4 An exemplary diagram for determining the anti-freezing effect coefficient according to an embodiment of the present application is shown.

[0141] According to one embodiment of the present application, step S8 comprises:

[0142] In step S81, the second road ice and snow thickness change rate is determined according to the second road ice and snow thickness.

[0143] In step S82, the expected road ice and snow thickness change rate is determined according to the first relationship function and the simulation test data.

[0144] In step S83, the anti-freezing effect coefficient is determined according to the second road ice and snow thickness change rate and the expected road ice and snow thickness change rate.

[0145] For example, the second road ice and snow thickness change rate is determined according to the second road ice and snow thickness at multiple time points in the second test period; the simulation test data is substituted into the first relationship function to determine the predicted growth rate of the ice and snow layer thickness in the first test period, i.e., the expected road ice and snow thickness change rate; and the anti-freezing effect coefficient is determined according to the ratio of the expected road ice and snow thickness change rate and the second road ice and snow thickness change rate, the smaller the second road ice and snow thickness change rate, the smaller the anti-freezing effect coefficient, indicating that the secondary icing speed of the test road is slower and the anti-freezing is better.

[0146] According to one embodiment of the present application, in step S9, the test report is determined according to the snow-melting agent effect coefficient and the anti-freezing effect coefficient.

[0147] The ice and snow road surface simulation experiment test method according to the embodiment of the present application can accurately simulate the ice and snow melting process of a highway road surface in a real environment, accurately collect test road surface data, simulation test data and melting accumulated water data in the first test period, accurately analyze the comprehensive melting effect of the snow melting agent, accurately analyze the anti-freezing effect of the snow melting agent in the second test period, realize the low-cost repeated road surface ice and snow melting test experiment under controllable ice and snow environment conditions, and improve the accuracy and stability of the ice and snow road surface simulation experiment test. When the first relationship function is determined, the first relationship function can be determined according to the historical test ice layer thickness, historical test temperature, historical test humidity, historical test wind speed, historical test rainfall and historical test snowfall, which can accurately describe the positive and negative effects of wind speed on the growth rate of ice layer thickness, and the effects of temperature, humidity, rainfall and snowfall on the growth rate of ice layer thickness, thereby improving the accuracy of the first relationship function. When the melting effect coefficient is determined, the road surface ice and snow thickness change rate, friction coefficient increase amplitude value and road surface ice and snow thickness melting value are used. In the calculation process, the comprehensive snow melting performance of the snow melting agent can be determined according to the road surface ice and snow thickness change rate and the road surface ice and snow thickness melting value, the friction force recovery performance of the snow melting agent can be determined according to the friction coefficient increase amplitude value, and the melting effect coefficient can be determined according to the comprehensive snow melting performance and the friction force recovery performance, thereby improving the comprehensiveness of the melting effect coefficient.

[0148] Figure 5 An example of a block diagram of an ice and snow road surface simulation experiment test system according to an embodiment of the present application is shown, which includes:

[0149] A first test module is configured to acquire test road surface data by a sensor arranged at a preset position in a first test period, wherein the test road surface data includes a road surface friction coefficient, a road surface ice and snow density and a road surface ice and snow thickness.

[0150] A test data module is configured to acquire simulation test data in the first test period, wherein the simulation test data includes a test environment temperature, a test environment humidity, a test rainfall and a test snowfall.

[0151] An accumulated water data module is configured to acquire melting accumulated water data at the end of the first test period.

[0152] A severe coefficient module is configured to determine a test environment severe coefficient according to the road surface ice and snow density and the simulation test data.

[0153] A melting coefficient module is configured to determine a comprehensive melting effect coefficient according to the road surface friction coefficient, the road surface ice and snow thickness and the melting accumulated water data.

[0154] The effect coefficient module is used to determine the snow melting agent effect coefficient based on the test environment severity coefficient and the comprehensive melting effect coefficient.

[0155] The second testing module is used to obtain the second road surface ice and snow thickness through sensors set at preset positions during the second testing cycle.

[0156] The refreezing coefficient module is used to determine the anti-refreezing effect coefficient based on the ice and snow thickness of the second road surface.

[0157] The test report module is used to determine the test report based on the snow melting agent effect coefficient and the anti-refreezing effect coefficient.

[0158] This invention can be a method, apparatus, system, and / or computer program product. The computer program product may include a computer-readable storage medium having computer-readable program instructions loaded thereon for performing various aspects of the invention.

[0159] Those skilled in the art should understand that the embodiments of the present invention described above and shown in the accompanying drawings are merely examples and do not limit the present invention. The objectives of the present invention have been fully and effectively achieved. The functions and structural principles of the present invention have been demonstrated and explained in the embodiments, and any variations or modifications may be made to the implementation of the present invention without departing from the stated principles.

Claims

1. A method for testing ice and snow road simulation experiment, characterized in that, The method comprises the following steps: In the first test period, test road surface data is obtained by sensors arranged at preset positions, wherein the test road surface data comprises road surface friction coefficient, road surface ice and snow density and road surface ice and snow thickness; In the first test period, simulation test data is obtained, wherein the simulation test data comprises test environment temperature, test environment humidity, test rainfall and test snowfall; At the end of the first test period, melting accumulated water data is obtained; According to the road surface ice and snow density and the simulation test data, a test environment harshness coefficient is determined; According to the road surface friction coefficient, the road surface ice and snow thickness and the melting accumulated water data, a comprehensive melting effect coefficient is determined; According to the test environment harshness coefficient and the comprehensive melting effect coefficient, a snow-melting agent effect coefficient is determined; In the second test period, second road surface ice and snow thickness is obtained by sensors arranged at preset positions; According to the second road surface ice and snow thickness, an anti-re-freezing effect coefficient is determined; According to the snow-melting agent effect coefficient and the anti-re-freezing effect coefficient, a test report is determined; According to the road surface ice and snow density and the simulation test data, a test environment harshness coefficient is determined, comprising: According to the road surface ice and snow density, a road surface ice and snow type is determined; According to the road surface ice and snow type, an ice and snow environment harshness coefficient is determined; In a historical test period, historical test data is obtained, wherein the historical test data comprises historical test temperature, historical test humidity, historical test wind speed, historical test rainfall, historical test snowfall and historical test ice layer thickness; A first relationship function between the historical test ice layer thickness and the historical test temperature, the historical test humidity, the historical test wind speed, the historical test rainfall and the historical test snowfall is determined; According to the first relationship function and the simulation test data, a comprehensive environment harshness coefficient is determined; According to the ice and snow environment harshness coefficient and the comprehensive environment harshness coefficient, a test environment harshness coefficient is determined; The first relationship function between the historical test ice layer thickness and the historical test temperature, the historical test humidity, the historical test wind speed, the historical test rainfall and the historical test snowfall is determined, comprising: according to the formula: a first undetermined coefficient equation of a first relationship function, wherein is a historical test ice layer thickness at a start time of the jth historical test period, is a historical test ice layer thickness at an end time of the jth historical test period, is a time length of the jth historical test period, is a preset icing speed threshold value, is a historical test wind speed of the jth historical test period, is a preset wind speed threshold value, is a historical test rainfall of the jth historical test period, is a preset rainfall threshold value, is a historical test snowfall of the jth historical test period, is a preset snowfall threshold value, is a historical test humidity of the jth historical test period, is a preset humidity threshold value, is a historical test temperature of the jth historical test period, is a preset temperature threshold value, , , , , , , , , , , and is a first undetermined coefficient of the first undetermined coefficient equation. According to the historical test ice layer thickness, the historical test temperature, the historical test humidity, the historical test wind speed, the historical test rainfall and the historical test snowfall, the first undetermined coefficient is solved to obtain a solving value of the first undetermined coefficient; According to the solving value of the first undetermined coefficient and the first undetermined coefficient equation, a first relationship function is determined.

2. The ice-snow road simulation test method according to claim 1, characterized in that, According to the road surface friction coefficient, the road surface ice and snow thickness and the melting accumulated water data, a comprehensive melting effect coefficient is determined, comprising: According to the melting accumulated water data, a metal corrosion mass, a heavy metal content, a chloride ion concentration and an oxygen demand ratio are determined; According to the metal corrosion mass, the heavy metal content, the chloride ion concentration and the oxygen demand ratio, an environmental protection effect coefficient is determined; According to the road surface friction coefficient and the road surface ice and snow thickness, a melting effect coefficient is determined; According to the environmental protection effect coefficient and the thawing effect coefficient, a comprehensive thawing effect coefficient is determined.

3. The ice-snow road simulation test method according to claim 2, characterized in that, According to the metal corrosion quality, the heavy metal content, the chloride ion concentration and the oxygen demand ratio, an environmental protection effect coefficient is determined, including: According to the metal corrosion quality and a preset metal corrosion quality threshold, a first ratio is determined; According to the heavy metal content and a preset heavy metal content threshold, a second ratio is determined; According to the chloride ion concentration and a preset chloride ion concentration threshold, a third ratio is determined; According to the oxygen demand ratio and a preset oxygen demand ratio threshold, a fourth ratio is determined; According to the first ratio, the second ratio, the third ratio and the fourth ratio, the environmental protection effect coefficient is determined.

4. The ice-snow road simulation test method according to claim 3, characterized in that, According to the road surface friction coefficient and the road surface ice and snow thickness, a thawing effect coefficient is determined, including: According to the road surface ice and snow thickness, an ice and snow thickness change rate at multiple time points in a first test period is determined; According to the road surface friction coefficient, a friction coefficient increase amplitude value is determined; According to the road surface ice and snow thickness, an ice and snow thickness thawing value is determined; According to the road surface ice and snow thickness change rate, the friction coefficient increase amplitude value and the road surface ice and snow thickness thawing value, the thawing effect coefficient is determined.

5. The ice-snow road simulation test method according to claim 4, characterized in that, According to the road surface ice and snow thickness change rate, the friction coefficient increase amplitude value and the road surface ice and snow thickness thawing value, the thawing effect coefficient is determined, including: according to a formula: , determining a thawing effect coefficient of the kth first test period wherein, and is a preset weight value, is a snow and ice thickness change rate at the ith moment of the kth first test period, is a preset snow and ice thickness change rate threshold value, is a snow and ice thickness thawing value of the kth first test period, is a preset snow and ice thickness thawing value threshold value, is a friction coefficient increase value of the kth first test period, is a preset friction coefficient increase value threshold value.

6. The ice-snow road simulation test method according to claim 5, characterized in that, According to the second road surface ice and snow thickness, an anti-refreezing effect coefficient is determined, including: According to the second road surface ice and snow thickness, a second road surface ice and snow thickness change rate is determined; According to the first relationship function and the simulation test data, an expected road surface ice and snow thickness change rate is determined; According to the second road surface ice and snow thickness change rate and the expected road surface ice and snow thickness change rate, the anti-refreezing effect coefficient is determined.

7. A snow and ice road simulation test system for performing the snow and ice road simulation test method according to any one of claims 1 to 6, characterized by, Including: A first test module is configured to acquire test road surface data through a sensor arranged at a preset position in a first test period, wherein the test road surface data includes a road surface friction coefficient, a road surface ice and snow density and a road surface ice and snow thickness; A test data module is configured to acquire simulation test data in the first test period, wherein the simulation test data includes a test environment temperature, a test environment humidity, a test rainfall and a test snowfall; An accumulated water data module is configured to acquire thawing accumulated water data at an end time point of the first test period; A harshness coefficient module is configured to determine a test environment harshness coefficient according to the road surface ice and snow density and the simulation test data; A thawing coefficient module is configured to determine a comprehensive thawing effect coefficient according to the road surface friction coefficient, the road surface ice and snow thickness and the thawing accumulated water data; An effect coefficient module is configured to determine a snow-melting agent effect coefficient according to the test environment harshness coefficient and the comprehensive thawing effect coefficient; A second test module is configured to acquire a second road surface ice and snow thickness through a sensor arranged at a preset position in a second test period; An anti-refreezing coefficient module is configured to determine an anti-refreezing effect coefficient according to the second road surface ice and snow thickness; A test report module is configured to determine a test report according to the snow-melting agent effect coefficient and the anti-refreezing effect coefficient.

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