Loess collapsibility microwave irradiation control system based on energy efficiency optimization

Abstract

The present application discloses a loess collapsibility microwave irradiation control system based on energy efficiency optimization, relates to the technical field of microwave irradiation control, and is used for solving the problems of loess collapsibility risk prevention and control efficiency reduction and road safety increasing hidden trouble occurrence probability, identifying the covered area of loess left by vehicles, dividing the covered area, obtaining loess samples of each divided area, detecting the water content after microwave irradiation pretreatment, analyzing the loess collapsibility trend, measuring the shear strength and combining the collapsibility trend to evaluate the collapsibility level, screening the target area, collecting the loess deposition thickness of the target area and analyzing the thickness characteristics, setting the microwave power for solidification treatment by using the thickness characteristics, collecting the rut depth change after solidification and generating the depth change threshold, counting the abnormal change frequency and judging whether to perform secondary cleaning, realizing loess identification and risk grading, improving the pertinence and timeliness of hidden trouble disposal, reducing the collapsibility accident risk, and improving the road safety and maintenance efficiency.

Description

Technical Field

[0001] This invention relates to the field of microwave irradiation control technology, and more specifically, to a microwave irradiation control system for loess collapsibility based on energy efficiency optimization. Background Technology

[0002] During road transportation and construction, vehicles often leave behind loess while driving or working, forming covered areas. The presence of loess not only affects road traffic and aesthetics, but may also cause loess subsidence, road surface settlement, or local water accumulation due to vehicle running over it, thus posing safety hazards.

[0003] The existing technology has the following shortcomings:

[0004] Currently, existing technologies rely on manual cleaning or mechanical sweeping to treat loess left on the road surface. They cannot accurately identify the loess coverage area and thickness, and lack microwave solidification treatment methods for real-time loess collapsibility assessment and energy efficiency optimization. This leads to reduced efficiency in preventing and controlling loess collapsibility risks and increased road safety, resulting in a higher probability of potential hazards. Therefore, an energy efficiency-optimized microwave irradiation control system for loess collapsibility is proposed.

[0005] The information disclosed in the background section is only intended to enhance the understanding of the background of this disclosure, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0006] To overcome the aforementioned deficiencies of the prior art, embodiments of the present invention provide a microwave irradiation control system for loess collapsibility based on energy efficiency optimization. This system utilizes a sampling analysis module to automatically identify and collect samples from areas covered by loess, a stratification judgment module to analyze and classify loess collapsibility trends and shear strength, a region screening module to identify high-risk target areas and optimize microwave power based on loess thickness characteristics, and a microwave processing module to perform energy-efficient microwave solidification treatment and secondary cleaning judgment on the target areas, thereby solving the problems mentioned in the background art.

[0007] To achieve the above objectives, the present invention provides the following technical solution: a microwave irradiation control system for loess collapsibility based on energy efficiency optimization, comprising a sampling and analysis module, a layer determination module, a region screening module, and a microwave processing module, the functions of each module being as follows:

[0008] The sampling and analysis module is used to identify the areas covered by loess left by vehicles, divide the covered areas, obtain loess samples in each divided area, preprocess the loess samples by microwave irradiation, detect the water content data of the loess samples and transmit them to the hierarchical determination module.

[0009] The hierarchical determination module analyzes the loess collapsibility trend of the region based on the water content data, detects the loess shear strength of each region, evaluates the loess collapsibility level of the region based on the loess collapsibility trend, and inputs it into the region screening module.

[0010] The region screening module receives the target region for screening based on the loess collapsibility level, collects the loess deposition thickness of the target region and analyzes the loess thickness characteristics, uses the loess thickness characteristics to set the microwave power for microwave irradiation, and then transmits the microwave power to the microwave processing module.

[0011] The microwave processing module solidifies the target area based on the microwave power of the microwave irradiation, collects the change in rut depth after solidification and generates a depth change threshold, analyzes the frequency of abnormal changes using the depth change threshold, and determines whether to perform secondary cleaning of the target area based on the frequency of abnormal changes.

[0012] In a preferred embodiment, in the sampling and analysis module, an image recognition sensor is used to scan the highway surface covered by loess left by vehicles in real time to generate a two-dimensional distribution map of the covered area.

[0013] Based on the two-dimensional distribution map, the area covered by loess from vehicles was divided into multiple regions with equal area.

[0014] Loess samples were obtained using a standard sampler, and the wet mass of the loess samples was recorded.

[0015] Loess samples were pretreated by applying microwave irradiation with a fixed output power and duration.

[0016] In a preferred embodiment, in the sampling and analysis module, the dry mass of the loess sample is obtained by using an electronic balance to test the quality of the loess sample.

[0017] Moisture content data of loess samples were calculated based on wet and dry mass, and the moisture content data was expressed as water content. The calculation formula is as follows:

[0018] ;

[0019] in, The moisture content of the loess sample. The wet mass of the loess sample. This represents the dry mass of the loess sample.

[0020] In a preferred embodiment, in the hierarchical determination module, the average moisture content of all loess samples from the divided areas is calculated as the loess baseline moisture content.

[0021] The loess collapse trend in each zone was calculated based on the loess baseline moisture content.

[0022] The shear strength of loess in each region was obtained by conducting direct shear tests on the collected loess samples.

[0023] In a preferred embodiment, in the hierarchical determination module, the loess collapsibility tendency and loess shear strength are standardized to generate a collapsibility tendency factor and a shear strength factor.

[0024] The loess collapsibility score is obtained by weighted summation of the collapsibility tendency factor and the shear strength factor.

[0025] When the loess collapsibility score is greater than or equal to the preset level determination threshold, the loess collapsibility level of the area is determined to be high collapsibility.

[0026] When the loess collapsibility score is less than the preset level determination threshold, the loess collapsibility level of the classified area is determined to be low collapsibility.

[0027] In a preferred embodiment, in the region screening module, regions with loess collapsibility level of high collapsibility are selected as target regions.

[0028] Using the ground datum plane of the target area as a reference plane, the vertical thickness of the loess deposit layer is obtained by monitoring the loess in the target area through shallow ground-penetrating radar.

[0029] The vertical thickness of the loess deposit layer is taken as the loess deposition thickness.

[0030] In a preferred embodiment, in the region screening module, a table showing the relationship between loess deposition thickness and microwave power is obtained from the microwave parameter database. The loess thickness characteristics are then input into the microwave parameter database for retrieval to obtain the microwave power of microwave irradiation corresponding to the loess thickness characteristics.

[0031] In a preferred embodiment, in the microwave processing module, microwave power is input into the microwave irradiation device, and the target area is solidified according to the microwave power.

[0032] After the solidification process is completed, the vehicle passage in the target area is recorded at a preset statistical time. When the wheels run over the loess in the target area, the passage timestamp is recorded.

[0033] After the vehicle leaves, the lowest point of the corresponding wheel-run-over location is obtained using a laser profiler as the rut depth;

[0034] The rut depths at the same location within a preset statistical time period are arranged in order of the timestamps. The difference between the rut depths measured at two adjacent timestamps is used to obtain the change in rut depth.

[0035] In a preferred embodiment, in the microwave processing module, the change in rut depth corresponding to the first vehicle passage in the target area is multiplied by a preset adjustment coefficient to obtain the depth change threshold.

[0036] The number of times the change in rut depth exceeds the depth change threshold is taken as the number of abnormal changes. The abnormal change frequency is obtained by dividing the number of abnormal changes by the preset statistical time.

[0037] If the frequency of abnormal changes exceeds the preset frequency threshold, it is determined that the target area will be cleaned up a second time.

[0038] Conversely, if the target area is not cleared a second time, it will be determined that no secondary cleanup will be performed.

[0039] The technical effects and advantages of this invention are as follows:

[0040] This invention identifies areas covered by loess left by vehicles, divides these areas, obtains loess samples from each area, pre-processes the samples using microwave irradiation, analyzes the water content data to determine the loess subsidence trend in each area, detects the shear strength of the loess in each area, assesses the loess subsidence level based on the subsidence trend, and selects target areas. It also collects and analyzes the loess deposition thickness in the target areas, sets the microwave power for irradiation based on the thickness characteristics, and performs solidification treatment on the target areas. The invention collects the change in rut depth after solidification and generates a depth change threshold, uses the depth change threshold to statistically analyze the frequency of abnormal changes, and determines whether secondary cleaning of the target areas is necessary based on the frequency of abnormal changes. This achieves the identification and risk assessment of loess left on the road surface, improves the pertinence and timeliness of hazard management, accurately identifies loess left on the road surface, reduces the risk of loess subsidence accidents caused by vehicle rolling, and improves road safety and maintenance efficiency. Attached Figure Description

[0041] Figure 1 This is a flowchart illustrating the implementation of the energy-efficiency optimized microwave irradiation control system for loess collapsibility according to the present invention.

[0042] Figure 2 This is a schematic diagram of the steps of the energy-efficiency optimized microwave irradiation control system for loess collapsibility according to the present invention. Detailed Implementation

[0043] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0044] This invention identifies areas covered by loess left by vehicles, divides these areas, obtains loess samples from each area, pre-processes the loess samples using microwave irradiation, analyzes the loess collapsibility trend by detecting the moisture content data of the loess samples, detects the shear strength of the loess in each area, assesses the loess collapsibility level of the area based on the loess collapsibility trend, and selects target areas. It also collects the loess deposition thickness in the target areas and analyzes the loess thickness characteristics, sets the microwave power for microwave irradiation based on the loess thickness characteristics, performs solidification treatment on the target areas, collects the change in rut depth after solidification treatment and generates a depth change threshold, uses the depth change threshold to statistically analyze the frequency of abnormal changes, and determines whether secondary cleaning of the target areas is necessary based on the frequency of abnormal changes. This achieves the identification and risk classification assessment of loess left on the road surface, improving the pertinence and timeliness of hazard management.

[0045] Example 1, such as Figures 1 to 2 As shown, the energy-efficiency optimized microwave irradiation control system for loess collapsibility includes a sampling and analysis module, a hierarchical determination module, a region screening module, and a microwave processing module. Data interaction between these modules is achieved through signal connections. The functions of each module are as follows:

[0046] The sampling and analysis module is used to identify the areas covered by loess left by vehicles, divide the covered areas, obtain loess samples in each divided area, preprocess the loess samples by microwave irradiation, detect the water content data of the loess samples and transmit them to the hierarchical determination module.

[0047] The hierarchical determination module analyzes the loess collapsibility trend of the region based on the water content data, detects the loess shear strength of each region, evaluates the loess collapsibility level of the region based on the loess collapsibility trend, and inputs it into the region screening module.

[0048] The region screening module receives the target region for screening based on the loess collapsibility level, collects the loess deposition thickness of the target region and analyzes the loess thickness characteristics, uses the loess thickness characteristics to set the microwave power for microwave irradiation, and then transmits the microwave power to the microwave processing module.

[0049] The microwave processing module solidifies the target area based on the microwave power of the microwave irradiation, collects the change in rut depth after solidification and generates a depth change threshold, analyzes the frequency of abnormal changes using the depth change threshold, and determines whether to perform secondary cleaning of the target area based on the frequency of abnormal changes.

[0050] The specific implementation is as follows:

[0051] In the sampling and analysis module, the area covered by vehicle-left loess is identified. An image recognition sensor is used to scan the highway surface covered by vehicle-left loess in real time to generate a two-dimensional distribution map of the covered area. Based on the two-dimensional distribution map, the area covered by vehicle-left loess is divided into multiple independent regions with equal area.

[0052] It should be noted that an image recognition sensor is a sensing device that combines optical imaging components with electronic image processing units to acquire two-dimensional image information of target areas on the surface of highway pavement and to identify and analyze the image.

[0053] Loess samples were collected from each designated region and pretreated using microwave irradiation.

[0054] When collecting loess samples, the loess samples are obtained through a standard sampler, and the volume and wet mass of the loess samples are recorded. The volume of the loess samples is directly obtained from the specifications of the standard sampler to ensure that the volume of each sample is consistent. The wet mass is measured by an electronic balance and used for subsequent moisture content data calculation.

[0055] During the pretreatment process, the loess sample is subjected to microwave irradiation with a fixed output power and duration. The output power is the minimum stable output power of the microwave generator, which is calculated and set based on the volume of the loess sample and the preset microwave power density.

[0056] ;

[0057] in, For output power, For microwave power density, This represents the volume of the loess sample.

[0058] It should be noted that the standard sampler is a specialized sampling device used to obtain loess samples from designated areas. Its structure and specifications conform to the sampling standards for geotechnical testing, ensuring that the volume and morphology of the loess samples are consistent. The electronic balance is a precision instrument that measures the mass of loess samples using the principle of electromagnetic force balance. Its measurement range covers both wet and dry masses of loess samples. The microwave power density is a preset parameter determined based on the loess type, initial moisture content, and ambient temperature. Its value is derived from experimental data and has undergone energy efficiency optimization calculations to ensure that the moisture in the loess samples evaporates uniformly during microwave irradiation without damaging the soil structure.

[0059] The action time is a preset fixed duration used for preliminary pretreatment of loess samples to allow the free water inside the loess samples to be released evenly. It is a preparatory step before testing to avoid measurement deviations caused by uneven water content distribution in the samples, rather than aiming to change the structural characteristics of loess. The duration is set through experimental data analysis, for example, the action time is set to five seconds.

[0060] After pretreatment, the loess samples were weighed using an electronic balance to obtain their dry mass. Based on this dry mass, the moisture content was calculated as a percentage of water content. The calculation formula is as follows:

[0061] ;

[0062] in, The moisture content of the loess sample. The wet mass of the loess sample. This represents the dry mass of the loess sample.

[0063] Moisture content characterizes the sensitivity of loess to collapsing under natural rainfall or load conditions. The higher the value, the more significant the structural change trend of loess after microwave simulation triggering; conversely, the lower the value, the smaller the structural change trend of loess after microwave simulation triggering.

[0064] Moisture content is used as an initial input parameter and passed to the hierarchical determination module for subsequent loess collapse trend analysis.

[0065] In the hierarchical determination module, the average moisture content of loess samples from all divided regions is calculated as the loess baseline moisture content. Based on the loess baseline moisture content, the loess collapsibility trend of each divided region is calculated.

[0066] ;

[0067] in, The loess soil is prone to subsidence. The moisture content of the loess sample. denoted as the reference moisture content of loess, e is a natural constant, and k is an empirical coefficient.

[0068] It should be noted that the specific method for setting the empirical coefficient is to conduct collapsibility experiments on loess samples with different moisture contents, measure the amount of soil collapse under different moisture conditions, establish a mapping relationship between the amount of collapse obtained from the experiment and the loess collapsibility trend function, and obtain the empirical coefficient through the least squares method; the value of the loess collapsibility trend is between 0 and 1, the closer the value is to 1, the stronger the collapsibility trend, and the closer the value is to 0, the weaker the collapsibility trend.

[0069] Furthermore, the shear strength of loess in each of the divided regions was tested. The shear strength of loess reflects the soil's ability to resist shear failure, and its value was obtained by conducting direct shear tests on the collected loess samples.

[0070] Specifically, loess samples were placed in a direct shear apparatus, and shear loads were applied to the loess samples under different normal stress conditions. The shear stress was gradually increased until the samples failed under shear stress, and the corresponding ultimate shear stress was recorded. Subsequently, the relationship curve between shear stress and normal stress was plotted based on multiple sets of test results and recorded as the shear failure curve. The shear strength of the loess was then calculated using the Coulomb strength theory formula.

[0071] ;

[0072] in, For the shear strength of loess, The soil cohesion originates from the longitudinal intercept of the shear failure curve; The internal friction angle of the soil is derived from the slope of the shear failure curve. This refers to the normal stress applied during the test.

[0073] The shear strength of loess reflects the stability of the soil under external loads. The greater the shear strength of loess, the lower the risk of structural failure under collapsing conditions; conversely, the lower the shear strength of loess, the greater the risk of structural failure under collapsing conditions.

[0074] It should be noted that the direct shear apparatus is a standard experimental device used to determine the shear strength of soil. Its structure includes a shear box, upper and lower pressure plates, a device for applying normal stress, and a shear drive mechanism. Coulomb's strength theory is a classical mechanical theory that describes the shear failure conditions of soil. Its basic content is that there is a linear relationship between shear stress and normal stress when soil fails.

[0075] After standardizing the loess collapsibility tendency and shear strength, a collapsibility tendency factor and a shear strength factor are generated. The weighted sum of the collapsibility tendency factor and the shear strength factor yields the loess collapsibility score, calculated using the following formula:

[0076] ;

[0077] in, Scoring for loess subsidence, For the tendency of subsidence, The shear strength factor is... and Let be the weighting coefficient, satisfying .

[0078] It should be noted that standardization refers to the process of mapping raw data of different physical quantities or different dimensions to a unified dimension, unified numerical range or unified statistical distribution through specific mathematical transformations. Standardization methods include, but are not limited to, standard linear transformation based on interval scaling, Z-Score standardization based on statistics, or normalization method based on nonlinear mapping functions. The application methods of standardization will not be elaborated here. The weighting coefficients are obtained by conducting collapsibility tests and direct shear tests on loess samples from different regions to obtain the contribution of the collapsibility tendency factor and the shear strength factor to the collapsibility level determination, and their contribution is used as the weighting coefficients.

[0079] The loess collapsibility score is compared with the preset level determination threshold:

[0080] When the loess collapsibility score is greater than or equal to the level determination threshold, the loess collapsibility level of the area is determined to be high collapsibility.

[0081] When the loess collapsibility score is less than the level determination threshold, the loess collapsibility level of the area is determined to be low collapsibility.

[0082] It should be noted that the stratification threshold was calculated by conducting collapsibility tests and shear strength tests on a large number of typical loess samples, obtaining the corresponding loess collapsibility score, recording the structural failure, analyzing the correspondence between the measured structural failure degree and the loess collapsibility score, and using the ROC curve analysis method to determine the critical point. The loess collapsibility score corresponding to the critical point was used as the stratification threshold.

[0083] The loess collapsibility level is input into the region screening module to provide a quantitative basis for the selection of target regions and subsequent microwave processing.

[0084] In the region filtering module, after receiving the loess collapsibility level, the regions with the loess collapsibility level of high collapsibility are selected as the target regions.

[0085] Loess deposition thickness refers to the vertical thickness of the loess deposit layer left by vehicles on the ground, reflecting the degree of loess deposition. The ground reference plane of the target area is used as the reference plane. The ground reference plane can be established by the three-dimensional point cloud data or average elevation of the road in the target area and is used as the reference plane for measuring loess deposition thickness.

[0086] The shallow ground-penetrating radar is used to monitor the loess in the target area. The shallow ground-penetrating radar transmits electromagnetic waves to the ground through the radar transmitting antenna. When the electromagnetic waves come into contact with the interface of the dielectric constant change formed between the loess deposits and the reference plane, they are reflected. The echo signal is received and the propagation time of the electromagnetic wave is recorded. The two-way propagation time of the echo signal is converted into thickness information and the vertical thickness of the loess deposit layer is calculated. The vertical thickness of the loess deposit layer is taken as the loess deposition thickness.

[0087] It should be explained that shallow ground-penetrating radar (GFRP) is a technology that uses the principle of electromagnetic pulses reflecting off different media to image and measure the thickness of underground or surface deposits. It includes signal transmission and reception, time-depth conversion, interface identification, thickness calculation and mapping.

[0088] The loess thickness characteristics are obtained by averaging the thickness of loess deposits in the target area, which reflects the overall degree of loess deposition within the target area.

[0089] A table showing the relationship between loess deposition thickness and microwave power was obtained from a microwave parameter database. Loess thickness characteristics were then input into the microwave parameter database for retrieval, and the microwave power corresponding to the loess thickness characteristics was obtained.

[0090] It should be explained that the microwave parameter database is a data set used to store microwave irradiation process parameters under different operating conditions. Operating conditions include loess deposition thickness, road surface temperature, etc. In this embodiment, it is used to obtain the correspondence between loess deposition thickness and microwave power.

[0091] By collecting data on the loess deposition thickness in the target area and analyzing its characteristics, and using these characteristics as input to set the microwave irradiation power, microwave energy can be matched on demand. This avoids excessive irradiation in thin areas and insufficient solidification in thick areas, improving the uniformity and effectiveness of solidification and providing more reliable input conditions for subsequent settlement risk assessment.

[0092] In the microwave processing module, the target area is solidified based on the microwave power of the microwave irradiation. The microwave power is input into the microwave irradiation device, and the microwave generator heats the loess under the microwave power conditions, causing the moisture in the loess to evaporate rapidly and promoting soil compaction, thereby reducing the risk of subsidence. The road surface temperature rise is monitored in real time during the solidification process to ensure that the road surface is not damaged by overheating.

[0093] After the solidification process is completed, the vehicle passage in the target area is recorded at a preset statistical time. When the wheels run over the loess in the target area, the passing timestamp is recorded. After the vehicle leaves, the lowest point of the corresponding wheel-running position is obtained by a laser profiler as the rut depth, reflecting the degree of loess subsidence under vehicle load.

[0094] The rut depths at the same location within a preset statistical time period are arranged in order of the timestamps. The difference between the rut depths measured at two adjacent timestamps is used to obtain the change in rut depth.

[0095] The depth change threshold is obtained by multiplying the change in rut depth corresponding to the first vehicle passage in the target area by a preset adjustment coefficient.

[0096] The change in rut depth during the first vehicle passage is used to reflect the settlement sensitivity of the target area under the initial load.

[0097] The changes in rut depth are compared with the depth change threshold. The number of times the changes in rut depth exceed the depth change threshold is counted as the number of abnormal changes. The number of abnormal changes is divided by the preset statistical time to obtain the frequency of abnormal changes.

[0098] Whether to perform secondary cleanup of the target region based on preset change frequency threshold and abnormal change frequency judgment:

[0099] If the frequency of abnormal changes exceeds the preset frequency threshold, it is determined that the target area will be cleaned up a second time.

[0100] Conversely, if the target area is not cleared a second time, it will be determined that no secondary cleanup will be performed.

[0101] The secondary cleanup involves comprehensive measures to remediate the target area, including mechanical excavation of the remaining loess deposits, to ensure the complete stability of the sedimentary layer and eliminate the risk of residual subsidence.

[0102] It should be explained that the preset statistical time refers to a fixed period of time set after the curing process is completed, which is used to collect rut depth; the laser profiler is a non-contact measuring device based on the principle of laser displacement measurement. It obtains the elevation data of each point on the transverse profile of the road surface by projecting a laser beam and receiving the reflected light; the preset adjustment coefficient is a proportional coefficient used to correct the threshold of rut depth change. It can be set according to factors such as the stiffness of the road surface material and the water content of the loess in the target area. For example, the adjustment coefficient can be appropriately reduced in the rainy season.

[0103] By performing microwave curing treatment on the target area, the change in rut depth is collected after curing and a depth change threshold is generated. The curing effect is quantified into a monitorable indicator, enabling real-time verification of the treatment results. This ensures the reliability and safety of the curing treatment, improves the pertinence and timeliness of disposal decisions, and forms a closed-loop control from curing to evaluation to decision-making.

[0104] Finally, it should be noted that in this paper, relational terms such as first and second are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations.

[0105] Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0106] In this document, the singular forms “a,” “an,” and “the” may also include the plural forms unless the context clearly indicates otherwise. It should also be understood that terms such as “comprising / including” or “having” specify the presence of the stated features, integrals, steps, operations, components, parts, or combinations thereof, but do not preclude the possibility of the presence or addition of one or more other features, integrals, steps, operations, components, parts, or combinations thereof. Meanwhile, the term “and / or” as used in this specification includes any and all combinations of the associated listed items.

[0107] The various embodiments in this specification are described in a progressive manner. Each embodiment focuses on the differences from other embodiments. The various embodiments can be combined as needed, and the same or similar parts can be referred to each other.

[0108] The above description of the disclosed embodiments will enable those skilled in the art to make or use various modifications to these embodiments. It will be readily apparent to those skilled in the art that the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A microwave irradiation control system for loess collapsibility based on energy efficiency optimization, characterized in that: It includes a sampling analysis module, a hierarchical determination module, a region screening module, and a microwave processing module. The functions of each module are as follows: The sampling and analysis module is used to identify the area covered by loess left by vehicles, divide the covered area, obtain loess samples in each divided area, preprocess the loess samples by microwave irradiation, detect the water content data of the loess samples and transmit it to the hierarchical determination module. The hierarchical determination module analyzes the loess collapsibility trend of the region based on the water content data, detects the loess shear strength of each region, evaluates the loess collapsibility level of the region based on the loess collapsibility trend, and inputs it into the region screening module. Specifically, the trend of loess subsidence: ； in, The loess soil is prone to subsidence. The moisture content of the loess sample. Here, is the reference moisture content of loess, e is the natural constant, and k is an empirical coefficient; Loess shear strength: ； in, For the shear strength of loess, The soil cohesion originates from the longitudinal intercept of the shear failure curve; The internal friction angle of the soil is derived from the slope of the shear failure curve. The normal stress applied during the test; After standardizing the loess collapsibility tendency and loess shear strength, a collapsibility tendency factor and a shear strength factor are generated. The loess collapsibility score is obtained by weighted summation of the collapsibility tendency factor and the shear strength factor. When the loess collapsibility score is greater than or equal to the preset level determination threshold, the loess collapsibility level of the area is determined to be high collapsibility. When the loess collapsibility score is less than the preset level determination threshold, the loess collapsibility level of the area is determined to be low collapsibility. The region screening module receives the target region for screening based on the loess collapsibility level, collects the loess deposition thickness of the target region and analyzes the loess thickness characteristics, uses the loess thickness characteristics to set the microwave power for microwave irradiation, and then transmits the microwave power to the microwave processing module. The microwave processing module solidifies the target area based on the microwave power of the microwave irradiation, collects the change in rut depth after solidification and generates a depth change threshold, analyzes the frequency of abnormal changes using the depth change threshold, and determines whether to perform secondary cleaning of the target area based on the frequency of abnormal changes.

2. The energy-efficiency optimized microwave irradiation control system for loess collapsibility according to claim 1, characterized in that: In the sampling and analysis module, an image recognition sensor is used to scan the highway surface covered by loess left by vehicles in real time, generating a two-dimensional distribution map of the covered area. Based on the two-dimensional distribution map, the area covered by loess from vehicles was divided into multiple regions with equal area. Loess samples were obtained using a standard sampler, and the wet mass of the loess samples was recorded. Loess samples were pretreated by applying microwave irradiation with a fixed output power and duration.

3. The energy-efficiency optimized microwave irradiation control system for loess collapsibility according to claim 2, characterized in that: In the sampling and analysis module, the dry mass of the loess sample is obtained by using an electronic balance to test the quality of the loess sample. Moisture content data of loess samples were calculated based on wet and dry mass, and the moisture content data was expressed as water content. The calculation formula is as follows: ； in, The moisture content of the loess sample. The wet mass of the loess sample. This represents the dry mass of the loess sample.

4. The energy-efficiency optimized microwave irradiation control system for loess collapsibility according to claim 1, characterized in that: In the region selection module, regions with high loess collapsibility are selected as target regions. Using the ground datum plane of the target area as a reference plane, the vertical thickness of the loess deposit layer is obtained by monitoring the loess in the target area through shallow ground-penetrating radar. The vertical thickness of the loess deposit layer is taken as the loess deposition thickness.

5. The energy-efficiency optimized microwave irradiation control system for loess collapsibility according to claim 1, characterized in that: In the region selection module, the relationship between loess deposition thickness and microwave power is obtained from the microwave parameter database. The loess thickness characteristics are then input into the microwave parameter database for retrieval to obtain the microwave power of microwave irradiation corresponding to the loess thickness characteristics.

6. The energy-efficiency optimized microwave irradiation control system for loess collapsibility according to claim 5, characterized in that: In the microwave processing module, microwave power is input into the microwave irradiation device, and the target area is solidified according to the microwave power. After the solidification process is completed, the vehicle passage in the target area is recorded at a preset statistical time. When the wheels run over the loess in the target area, the passage timestamp is recorded. After the vehicle leaves, the lowest point of the corresponding wheel-run-over location is obtained using a laser profiler as the rut depth; The rut depths at the same location within a preset statistical time period are arranged in order of the timestamps. The difference between the rut depths measured at two adjacent timestamps is used to obtain the change in rut depth.

7. The energy-efficiency optimized microwave irradiation control system for loess collapsibility according to claim 6, characterized in that: In the microwave processing module, the change in rut depth corresponding to the first vehicle passing through the target area is multiplied by a preset adjustment coefficient to obtain the depth change threshold. The number of times the change in rut depth exceeds the depth change threshold is taken as the number of abnormal changes. The abnormal change frequency is obtained by dividing the number of abnormal changes by the preset statistical time. If the frequency of abnormal changes exceeds the preset frequency threshold, it is determined that the target area will be cleaned up a second time. Conversely, if the target area is not cleared a second time, it will be determined that no secondary cleanup will be performed.

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