Infrared rammed earth treatment method and device

Abstract

The embodiment of the invention provides an infrared rammed earth processing method and device. The infrared rammed earth processing method specifically comprises the steps that target soil parameters are obtained and input into a frequency spectrum mapping data table to obtain an infrared emission frequency spectrum distribution ratio; the target soil parameters comprise target soil parameters; infrared rammed earth data are obtained through the infrared emission spectrum distribution ratio and the target soil parameters; the infrared rammed earth data comprises a ratio of a main radiation source to an auxiliary radiation source, an included angle degree and radiation power density; obtaining a ratio of a main radiation source to an auxiliary radiation source through an infrared emission spectrum distribution ratio; determining an included angle between the main radiation source and the auxiliary radiation source according to the clay content; and determining the radiation power density according to the clay content and the infrared emission spectrum distribution ratio. According to the invention, the infrared band distribution ratio can be automatically adjusted along with parameter changes. According to the method, the thermal field uniformity is remarkably improved through infrared rammed earth data, namely, composite wave band and angle optimization and in combination with the dynamically calculated radiation power density.

Description

Technical Field

[0001] This invention relates to the field of video recognition, and specifically to an infrared soil compaction processing method and apparatus. Background Technology

[0002] Infrared tamping technology is a novel geotechnical engineering technique that improves soil compaction and mechanical properties by heating the soil with infrared radiation, promoting water migration and interparticle cementation. Its core principle is based on the thermal effect of infrared radiation and the selective absorption characteristics of substances: the 3-5μm mid-wave infrared spectrum has strong absorption of water molecules (OH bonds), enabling rapid evaporation of free water in the soil; the 8-12μm long-wave infrared spectrum has characteristic absorption of clay minerals (such as the Si-O bonds of montmorillonite and kaolinite), which can increase particle surface activity and promote cementation. By controlling the energy distribution and radiation power in the infrared band, compaction time can be shortened and energy consumption reduced without damaging the soil structure, making it an important supplement to traditional vibratory / static compaction techniques.

[0003] Currently, the research and application of infrared rammed earth technology mainly involve rudimentary parameter settings, and traditional infrared generators often use a single radiation source such as a silicon carbide plate or a quartz tube.

[0004] Existing solutions employ fixed bands, such as using only a single band of 3-5μm or 8-12μm, or setting the radiated power based on experience, such as uniformly using 10kW / m. 2 It cannot be adjusted, has low energy utilization, narrow band coverage, and fixed radiation angle, which easily causes uneven heat field distribution. It is necessary to extend the radiation time to compensate for local energy deficiency, which further increases energy consumption. Summary of the Invention

[0005] In view of the aforementioned problems, this application is made to provide an infrared soil compaction treatment method and apparatus that overcomes or at least partially solves the aforementioned problems, comprising:

[0006] An infrared rammed soil treatment method, wherein the method performs rammed soil by matching the obtained target soil parameters with an infrared spectrum ratio; the method includes: wherein the target soil parameters include soil moisture content, clay content and organic matter content.

[0007] A spectrum mapping data table was obtained by training an artificial intelligence model to establish the correlation between clay content and the energy distribution ratio in the 3-5μm and 8-12μm bands.

[0008] Target soil parameters are acquired, and an infrared emission spectrum allocation ratio is obtained based on the target soil parameters and the spectrum mapping data table. Infrared soil compaction data is obtained using the infrared emission spectrum allocation ratio and the target soil parameters. The infrared soil compaction data includes the ratio of the primary radiation source to the secondary radiation source, the angle between them, and the radiation power density. Specifically, the ratio of the primary radiation source to the secondary radiation source is obtained using the infrared emission spectrum allocation ratio. The angle between the primary and secondary radiation sources is determined based on the clay content. The radiation power density is determined based on the clay content and the infrared emission spectrum allocation ratio.

[0009] Preferably, the step of obtaining the target soil parameters and obtaining the infrared emission spectrum allocation ratio based on the target soil parameter values ​​and the spectrum mapping data table includes:

[0010] The soil moisture content was obtained by non-contact testing of the target soil.

[0011] The clay content was obtained by measuring the clay minerals in the soil.

[0012] The organic matter content was obtained by measuring the organic matter content;

[0013] The infrared emission spectrum allocation ratio is calculated based on the target soil parameters and the spectrum mapping data table.

[0014] Preferably, the step of calculating the infrared emission spectrum allocation ratio based on the target soil parameters and the spectrum mapping data table includes:

[0015] The clay content is input into the spectrum mapping data table to obtain the initial allocation ratio;

[0016] The correction coefficient is obtained by correcting the soil moisture content.

[0017] The organic matter correction term is obtained by correcting the organic matter content.

[0018] The infrared emission spectrum allocation ratio is obtained based on the organic matter content, the initial allocation rate, the correction coefficient, and the organic matter correction term.

[0019] Preferably, the step of obtaining the infrared emission spectrum allocation ratio based on the organic matter content, the initial allocation rate, the correction coefficient, and the organic matter correction term includes:

[0020] The corrected allocation ratio is obtained by calculating the initial allocation rate and the correction coefficient;

[0021] The infrared emission spectrum allocation ratio is obtained by processing the correction ratio based on the organic matter correction term and organic matter content.

[0022] Preferably, the step of determining the angle between the primary radiation source and the secondary radiation source based on the clay content includes:

[0023] The main radiation source and the auxiliary radiation source are arranged alternately at a preset angle; wherein the preset angle ranges from 43° to 47°.

[0024] The preset angle is adjusted according to the clay content.

[0025] Preferably, the step of determining the radiant power density based on the clay content and the infrared emission spectrum distribution ratio includes:

[0026] Soil type is determined based on the clay content;

[0027] The radiation power density is determined based on the soil type and the infrared emission spectrum allocation ratio.

[0028] Preferably, the step of obtaining infrared soil compaction data based on the infrared emission spectrum allocation ratio and the target soil parameters further includes:

[0029] The real-time temperature of the target soil is obtained, and if the real-time temperature is within a preset range, the soil is compacted using the infrared compaction data.

[0030] To achieve this, the application also includes an infrared soil compaction device, which performs soil compaction by matching the obtained target soil parameters with an infrared spectrum ratio, wherein the target soil parameters include soil moisture content, clay content, and organic matter content; including:

[0031] The mapping module is used to obtain a spectrum mapping data table by training an artificial intelligence model to establish the correlation between clay content and the energy distribution ratio of the 3-5μm and 8-12μm bands.

[0032] The infrared emission spectrum allocation ratio module is used to acquire target soil parameters and obtain the infrared emission spectrum allocation ratio based on the target soil parameter values ​​and the spectrum mapping data table.

[0033] An infrared soil compaction data module is used to obtain infrared soil compaction data through the infrared emission spectrum allocation ratio and the target soil parameters; wherein, the infrared soil compaction data includes the ratio of the main radiation source to the auxiliary radiation source, the angle between them, and the radiation power density; specifically, the ratio of the main radiation source to the auxiliary radiation source is obtained through the infrared emission spectrum allocation ratio; the angle between the main radiation source and the auxiliary radiation source is determined based on the clay content; and the radiation power density is determined based on the clay content and the infrared emission spectrum allocation ratio.

[0034] To implement this application, a computer electronic device is also included, comprising a processor, a memory, and a computer program stored in the memory and capable of running on the processor, wherein the computer program, when executed by the processor, implements the steps of the infrared soil compaction method.

[0035] To realize the present application, a computer-readable storage medium is provided, wherein a computer program is stored on the computer-readable storage medium, and the computer program, when executed by a processor, implements the steps of the infrared soil compaction method.

[0036] This application has the following advantages:

[0037] In the embodiments of this application, in contrast to the problems of crude parameter setting and low energy utilization in the prior art, this application provides a solution for infrared rammed earth spectrum allocation based on soil parameters. Specifically, it involves: training an artificial intelligence model to establish the correlation between clay content and the energy allocation ratio in the 3-5μm and 8-12μm bands to obtain a spectrum mapping data table; acquiring target soil parameters and obtaining an infrared emission spectrum allocation ratio based on the target soil parameters and the spectrum mapping data table; wherein, the target soil parameters include target soil parameters; obtaining infrared rammed earth data through the infrared emission spectrum allocation ratio and the target soil parameters; wherein, the infrared rammed earth data includes the ratio of the primary radiation source to the secondary radiation source, the angle between them, and the radiation power density; specifically, the ratio of the primary radiation source to the secondary radiation source is obtained through the infrared emission spectrum allocation ratio; the angle between the primary radiation source and the secondary radiation source is determined based on the clay content; and the radiation power density is determined based on the clay content and the infrared emission spectrum allocation ratio. The infrared rammed earth spectrum allocation method based on soil parameters proposed in this application specifically solves the problems of crude parameter setting and low energy utilization. This application employs multi-parameter real-time detection and dynamic matching. It simultaneously acquires key soil parameters such as moisture content and clay content, and pre-sets a spectrum mapping database to automatically adjust the infrared band allocation ratio according to parameter changes. For example, it increases the proportion of long-wavelength radiation when clay content is high and forcibly increases the proportion of medium-wavelength radiation when moisture content is high, avoiding compaction defects caused by fixed parameters. This application optimizes infrared compaction data, specifically composite bands and angles, using a composite radiation source composed of a medium-wave silicon carbide emitting plate and a long-wave gold-plated quartz tube. Combined with dynamically calculated radiation power density, it significantly improves thermal field uniformity and shortens radiation time by 20%-30%. Experimental data shows that this method improves compaction in clay, sand, and frozen soil by 6.8%, 5.2%, and 8.1% respectively compared to traditional methods, while reducing energy consumption by 15%-20%, achieving a technological breakthrough in precise heating and efficient compaction. Attached Figure Description

[0038] To more clearly illustrate the technical solution of this application, the drawings used in the description of this application will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0039] Figure 1 This is a flowchart of the steps of an infrared rammed earth treatment method provided in an embodiment of this application;

[0040] Figure 2 This is a structural block diagram of an infrared rammed earth treatment device provided in one embodiment of this application;

[0041] Figure 3 This is a schematic diagram of the structure of a computer device provided in an embodiment of the present invention;

[0042] 12. Computer equipment; 14. External devices; 16. Processing unit; 18. Bus; 20. Network adapter; 22. I / O interface; 24. Display; 28. Memory; 30. Random access memory; 32. Cache memory; 34. Storage system; 40. Program / utility; 42. Program module. Detailed Implementation

[0043] To make the objectives, features, and advantages of this application more apparent and understandable, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments. Obviously, the described embodiments are only some, not all, of the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0044] The inventors, through analysis of existing technologies, discovered the following limitations in current research and applications of infrared soil compaction technology: First, parameter settings are often crude. Existing solutions mostly use fixed wavelengths, such as only using a single 3-5μm or 8-12μm wavelength, or set radiation power based on experience, such as uniformly using 10kW / m2, without considering the dynamic changes in key parameters such as soil moisture content and clay content. For example, when high-moisture clay is directly subjected to long-wave infrared radiation, the rapid evaporation of moisture easily forms vapor pores, which reduces compaction. When low-clay-content sand is subjected to mid-wave infrared radiation, rapid moisture loss leads to energy waste. Second, existing technologies have low energy utilization. Traditional infrared generators often use a single radiation source, such as a silicon carbide plate or quartz tube, with a narrow wavelength coverage and a fixed radiation angle, such as 60° vertical irradiation. This easily causes uneven heat distribution, requiring extended radiation time to compensate for local energy deficiencies, further increasing energy consumption.

[0045] In the embodiments of this application, in contrast to the problems of crude parameter setting and low energy utilization in the prior art, this application provides a solution for infrared rammed earth spectrum allocation based on soil parameters. Specifically, it involves: training an artificial intelligence model to establish the correlation between clay content and the energy allocation ratio in the 3-5μm and 8-12μm bands to obtain a spectrum mapping data table; acquiring target soil parameters and obtaining an infrared emission spectrum allocation ratio based on the target soil parameters and the spectrum mapping data table; wherein, the target soil parameters include target soil parameters; obtaining infrared rammed earth data through the infrared emission spectrum allocation ratio and the target soil parameters; wherein, the infrared rammed earth data includes the ratio of the primary radiation source to the secondary radiation source, the angle between them, and the radiation power density; specifically, the ratio of the primary radiation source to the secondary radiation source is obtained through the infrared emission spectrum allocation ratio; the angle between the primary radiation source and the secondary radiation source is determined based on the clay content; and the radiation power density is determined based on the clay content and the infrared emission spectrum allocation ratio. The infrared rammed earth spectrum allocation method based on soil parameters proposed in this application specifically solves the problems of crude parameter setting and low energy utilization. This application employs multi-parameter real-time detection and dynamic matching. It simultaneously acquires key soil parameters such as moisture content and clay content, and pre-sets a spectrum mapping database to automatically adjust the infrared band allocation ratio according to parameter changes. For example, it increases the proportion of long-wavelength radiation when clay content is high and forcibly increases the proportion of medium-wavelength radiation when moisture content is high, avoiding compaction defects caused by fixed parameters. This application optimizes infrared compaction data, specifically composite bands and angles, using a composite radiation source composed of a medium-wave silicon carbide emitting plate and a long-wave gold-plated quartz tube. Combined with dynamically calculated radiation power density, it significantly improves thermal field uniformity and shortens radiation time by 20%-30%. Experimental data shows that this method improves compaction in clay, sand, and frozen soil by 6.8%, 5.2%, and 8.1% respectively compared to traditional methods, while reducing energy consumption by 15%-20%, achieving a technological breakthrough in precise heating and efficient compaction.

[0046] It should be noted that the target soil parameters include soil moisture content, clay content, and organic matter content.

[0047] Reference Figure 1 The diagram illustrates a flowchart of an infrared soil compaction method according to an embodiment of this application, which specifically includes the following steps:

[0048] S110. Obtain target soil parameters and obtain the infrared emission spectrum allocation ratio based on the target soil parameter values ​​and the spectrum mapping data table; S120. Obtain infrared soil compaction data using the infrared emission spectrum allocation ratio and the target soil parameters; wherein, the infrared soil compaction data includes the ratio of the primary radiation source to the secondary radiation source, the angle between them, and the radiation power density; specifically, the ratio of the primary radiation source to the secondary radiation source is obtained using the infrared emission spectrum allocation ratio; the angle between the primary radiation source and the secondary radiation source is determined based on the clay content; and the radiation power density is determined based on the clay content and the infrared emission spectrum allocation ratio.

[0049] The infrared rammed earth treatment method in this exemplary embodiment will now be further described.

[0050] As described in step S110 above, target soil parameters are obtained and infrared emission spectrum allocation ratio is obtained based on the target soil parameter quantity and the spectrum mapping data table; wherein, the target soil parameters include target soil parameters.

[0051] In one embodiment of the present invention, the specific process of step S110, "obtaining target soil parameters and obtaining infrared emission spectrum allocation ratio based on the amount of target soil parameters and the spectrum mapping data table; wherein, the target soil parameters include target soil parameters;" can be further described in conjunction with the following description.

[0052] The following steps are described: non-contact detection is performed on the target soil to obtain the soil moisture content; the clay content is obtained by measuring the clay minerals in the soil; the organic matter content is obtained by measuring the organic matter content; and the infrared emission spectrum allocation ratio is calculated based on the target soil parameters and the spectrum mapping data table.

[0053] In one embodiment of the present invention, the specific process of the steps “obtaining the soil moisture content by non-contact detection of the target soil; obtaining the clay content by measuring clay minerals in the soil; and obtaining the organic matter content by measuring the organic matter content” can be further explained in conjunction with the following description.

[0054] As described in the following steps, the soil moisture content is obtained by non-contact detection of the target soil using a near-infrared spectrometer; the clay content is obtained by determining the clay minerals in the soil using an X-ray diffractometer; and the organic matter content is obtained by determining the organic matter content using a thermogravimetric analyzer.

[0055] As an example, the step of obtaining the soil moisture content by non-contact detection of the target soil using a near-infrared spectrometer includes moisture content detection, using a near-infrared spectrometer with a spectral range of 1300-2500nm and a resolution ≤1nm, performing non-contact detection on the soil to be treated to obtain the soil moisture content W, with a detection accuracy error ≤1.5%.

[0056] As an example, the step of determining the clay content in soil by using an X-ray diffractometer includes clay content detection, using an X-ray diffractometer (XRD), Cu target Kα radiation, scanning range 5°-60°2θ, where θ is a key parameter in the Bragg equation in X-ray diffraction (XRD) testing, its physical meaning is the angle between the incident X-ray and the crystal plane, i.e., the incident angle between the incident beam and the crystal plane; determining the mass percentage C of clay minerals montmorillonite, kaolinite, and illite in the soil, with a detection resolution of ±0.5%.

[0057] As an example, the step of obtaining the organic matter content by using a thermogravimetric analyzer to determine the organic matter content includes organic matter content detection. If the soil is contaminated soil or humus soil, a thermogravimetric analyzer (TGA) is used with a heating rate of 10℃ / min and a temperature range of 25-600℃ to determine the organic matter content O, with a detection error ≤2%.

[0058] In one specific embodiment, during testing, technicians first used a near-infrared spectrometer to perform non-contact moisture content determination on the target soil: the instrument probe was placed approximately 30 cm from the soil surface, scanning five measurement points in a zigzag pattern, pausing at each point for 2 seconds. By analyzing the spectral intensity of the characteristic absorption peaks at 1450 nm and 1940 nm, corresponding to the OH bonds of water molecules, the average moisture content was quickly calculated. Subsequently, a soil sample, air-dried and ground to ≤0.075 mm, was spread flat on a glass slide and placed in an X-ray diffractometer. Using Cu target Kα radiation scanning, the intensity of the characteristic diffraction peaks of clay minerals such as montmorillonite and kaolinite was analyzed, and combined with a full-spectrum fitting algorithm, the total mass percentage of clay minerals was accurately determined. Finally, the dried and ground soil sample was placed in a thermogravimetric analyzer and heated to 600 °C at 10 °C / min under a nitrogen atmosphere. By monitoring the mass loss in the 150-500 °C range corresponding to organic matter decomposition, the organic matter content was calculated. The three-step detection data were transmitted in real time to the control system for dynamically optimizing the spectral distribution and power parameters of the infrared compacted soil.

[0059] In one specific embodiment, at a highway subgrade construction site, technicians selected a 2m × 2m area of ​​soil to be tested, with a depth of 0-30cm. First, moisture content was measured: using an NIRS-2000 near-infrared spectrometer with a spectral range of 1300-2500nm and a resolution of 0.8nm, the instrument probe was vertically aligned with the soil surface at a distance of 30cm, scanning five points in a zigzag pattern, pausing at each point for 2 seconds. The instrument's built-in temperature compensation module monitored the ambient temperature in real time. On that day, the ambient temperature was 28℃, and the instrument automatically corrected for detection deviations caused by temperature fluctuations—according to a preset formula, when the ambient temperature deviated by 25℃, the measured value needed to be multiplied by a correction factor; at 28℃, the correction factor was 1.015. After scanning, the instrument quickly calculated the average moisture content of the five points to be 18.3% by analyzing the intensity of the characteristic absorption peaks at 1450nm (first overtone of OH bonds) and 1940nm (OH bond combination frequency). Clay content was then determined: 500g of soil sample was collected from the same area, air-dried, and ground to a particle size ≤0.075mm (passing through a 200-mesh sieve). Approximately 3g of sample was evenly spread on a glass slide and placed in a D8 ADVANCE X-ray diffractometer. The instrument used Cu target Kα radiation at a wavelength of [wavelength missing]. The scanning range was set to 5°–60°2θ, with a scanning step size of 0.02° and a pause of 0.5 seconds per step. After diffraction, the characteristic peaks of the spectrum were analyzed using JADE software. The characteristic diffraction peaks of montmorillonite at 5°–7°, kaolinite at 12°–13°, and illite at 8°–9° were identified. Combined with the Rietveld full-spectrum fitting algorithm, the total mass percentage of clay minerals was calculated to be 32.7%, of which montmorillonite accounted for 18.2%, kaolinite for 9.5%, and illite for 5.0%.

[0060] In one specific embodiment, during the restoration of an abandoned chemical plant site, technicians conducted organic matter content testing on suspected contaminated humus. First, soil samples from the top 0-20cm layer were collected. After removing impurities such as stones and plant roots, 100g of the sample was dried in an oven to constant weight and ground into powder with a particle size ≤0.15mm. 5mg of the dried sample was weighed and placed in an alumina crucible, then placed in a TGA-550 thermogravimetric analyzer. The heating program was set as follows: initial temperature 25℃, increasing to 600℃ at a rate of 10℃ / min, with nitrogen gas purging throughout at a flow rate of 50mL / min to eliminate oxidation interference. During instrument operation, the sample mass change curve with temperature was recorded in real time: in the 25-150℃ range, the mass loss was mainly due to adsorbed water; in the 150-500℃ range, the mass continuously decreased, with a cumulative loss of 1.8mg, corresponding to the decomposition of organic matter; in the 500-600℃ range, the mass tended to stabilize, representing the thermal stability stage of inorganic minerals. Finally, by calculating the mass loss in the 150-500℃ range as a percentage of the initial sample mass (1.8 mg / 5 mg = 36%), and combining this with adsorbed water correction, and subtracting 0.3 μm, the soil organic matter content was determined to be 34.2%. This data was subsequently used to correct the energy distribution ratio of infrared radiation—because the organic matter content exceeded the 5% threshold, the system automatically increased the energy proportion in the 8-12 μm band by 10% to avoid energy waste caused by the overlap of the mid-wave infrared 2.3-3.5 μm absorption peak with the CH bond.

[0061] In one embodiment of the present invention, the specific process of "calculating the infrared emission spectrum allocation ratio based on the target soil parameters and the spectrum mapping data table" can be further explained in conjunction with the following description.

[0062] As described in the following steps, the clay content is input into the spectrum mapping data table to obtain the initial allocation ratio; a correction coefficient is obtained based on the soil moisture content; an organic matter correction term is obtained based on the organic matter content; and an infrared emission spectrum allocation ratio is obtained based on the organic matter content, the initial allocation ratio, the correction coefficient, and the organic matter correction term.

[0063] In one embodiment of the present invention, the specific process of "inputting the clay content into the spectrum mapping data table to obtain the initial allocation ratio" can be further explained in conjunction with the following description.

[0064] As described in the following steps, a spectrum mapping data table is obtained by training an artificial intelligence model to correlate clay content with the energy distribution ratios of the 3-5μm and 8-12μm bands; specifically, by collecting rammed earth experimental data corresponding to different clay contents, a machine learning model is used to train the correlation between clay content (C) and the energy distribution ratios of the 3-5μm and 8-12μm bands (R). 35 :R 812The correlation between the two data points is optimized to obtain a spectrum mapping data table.

[0065] In one specific embodiment, soils with different clay contents exhibit significant differences in mineral composition (e.g., montmorillonite, kaolinite) and particle structure, resulting in different absorption characteristics for the 3-5 μm mid-wave infrared and the 8-12 μm long-wave infrared: 3-5 μm band: primarily strongly coupled with the stretching vibrations of water molecules (free water, bound water), energy is easily absorbed by water, suitable for rapid evaporation of water from the soil surface and pores. 8-12 μm band: primarily strongly coupled with the lattice vibrations of clay minerals, such as Si-O and Al-O bonds, energy is easily absorbed by clay minerals, suitable for activating cementation reactions between mineral particles, such as interlayer water drainage and silicon-oxygen bond recombination.

[0066] In one specific embodiment, C < 15% indicates low clay content: the soil is mainly composed of sand / silt, with few clay minerals and weak cementing ability. If R 35 If the ratio is too high, such as 50:50, moisture evaporates quickly, but there is insufficient clay minerals, the cementation reaction cannot be fully activated, and the rammed earth is prone to loosening. To optimize the results, the proportion of medium waves (R) needs to be reduced. 35 =30%, increasing the proportion of long waves R 812 =70%, using long-wave infrared to compensate for the insufficient cementing ability of clay minerals, while avoiding excessive moisture evaporation that could lead to a loose structure.

[0067] In one specific embodiment, C = 15%-30% represents a medium clay content: the ratio of clay minerals to sand / silt is balanced, providing both sufficient cementing capacity and control over the rate of moisture evaporation. If R 35 Too low a ratio, such as 30:70: moisture evaporation is too slow, and the cementation reaction is delayed; if R 35 An excessively high ratio, such as 70:30, can cause rapid moisture evaporation, potentially leading to a hardened surface crust that hinders internal moisture migration. The optimal result is a balanced 50:50 ratio of medium to long waves, simultaneously promoting moisture evaporation and mineral cementation, resulting in the best compactness of the rammed earth.

[0068] In one specific embodiment, C > 30% high clay content: High clay mineral content results in strong hygroscopicity, requiring more energy for water evaporation; simultaneously, mineral cementation reactions are easily activated. If R 812 An excessively high ratio, such as 30:70, results in excessive absorption of long-wave energy by clay minerals, potentially leading to localized overheating and shrinkage cracks due to the poor thermal conductivity of the minerals. The optimization strategy involves increasing the proportion of medium-wave energy (R). 35 =70%, accelerating moisture evaporation to reduce the risk of clay swelling; reducing the proportion of long waves R 812 =30%, to avoid increased brittleness caused by excessive mineral cementation.

[0069] As described in the following steps, the spectrum mapping database contains clay content C and energy distribution ratios (Rc) for the 3-5μm and 8-12μm bands. 35 :R812 The correspondence between R and R, where R is... 35 The proportion of the 3-5μm band, R 812 The proportion of the 8-12μm band:

[0070] C(wt%) <![CDATA[R 35 :R 812 ]]> <15％ 30:70 15％-30％ 50:50 >30％ 70:30

[0071] In one embodiment of the present invention, the specific process of "obtaining the correction coefficient by correcting according to the soil moisture content" described below can be further explained in conjunction with the following description.

[0072] As described in the following steps, the moisture content correction factor K_W is: the basic distribution ratio is dynamically adjusted based on the moisture content W, and the correction formula is:

[0073] When the soil moisture content is greater than 15%: K_W=1+0.02×(W-15%);

[0074] When the moisture content is less than or equal to 15%: K_W = 1 - 0.01 × (15% - W).

[0075] In one embodiment of the present invention, the specific process of "obtaining the organic matter correction item by correcting according to the organic matter content" described below can be further explained in conjunction with the following description.

[0076] As described in the following steps, the organic matter correction term ΔR: when O>5%, the energy percentage in the 8-12μm band increases by ΔR=10%, avoiding the CH bond absorption peak at 2.3-3.5μm.

[0077] In one embodiment of the present invention, the specific process of "obtaining the infrared emission spectrum allocation ratio based on the organic matter content, the initial allocation rate, the correction coefficient, and the organic matter correction term" can be further explained in conjunction with the following description.

[0078] As described in the following steps, the initial allocation rate and the correction coefficient are calculated to obtain the corrected allocation ratio; the corrected allocation ratio is then processed according to the organic matter correction term and the organic matter content to obtain the infrared emission spectrum allocation ratio.

[0079] In one specific embodiment, based on the parameters obtained above, namely moisture content W, clay content C, and organic matter content O, the final energy distribution ratio R_final, i.e., the infrared emission spectrum distribution ratio, is calculated according to the following logic:

[0080] Initial allocation ratio R_initial = R 35 :R 812 ;

[0081] After moisture content correction, the distribution ratio R_W = R_initial × K_W;

[0082] If O > 5%, then the final allocation ratio R_final = R_W + ΔR;

[0083] If 0 ≤ 5%, then the final allocation ratio R_final = R_W;

[0084] The energy distribution ratio is output as a percentage, with precision retained to one decimal place.

[0085] As described in step S120 above, infrared soil compaction data is obtained through the infrared emission spectrum allocation ratio and the target soil parameters; wherein, the infrared soil compaction data includes the ratio of the main radiation source to the auxiliary radiation source, the angle between them, and the radiation power density; specifically, the ratio of the main radiation source to the auxiliary radiation source is obtained through the infrared emission spectrum allocation ratio; the angle between the main radiation source and the auxiliary radiation source is determined based on the clay content; and the radiation power density is determined based on the clay content and the infrared emission spectrum allocation ratio.

[0086] In one embodiment of the present invention, the specific process of step S120, "obtaining infrared soil compaction data through the infrared emission spectrum allocation ratio and the target soil parameters; wherein the infrared soil compaction data includes the ratio of the main radiation source to the auxiliary radiation source, the angle of inclination, and the radiation power density," can be further explained in conjunction with the following description.

[0087] As described in the following steps, the ratio of the primary radiation source to the secondary radiation source is obtained through the infrared emission spectrum allocation ratio; the angle between the primary radiation source and the secondary radiation source is determined based on the clay content; and the radiation power density is determined based on the clay content and the infrared emission spectrum allocation ratio.

[0088] In one embodiment of the present invention, the specific process of "obtaining the ratio of the main radiation source to the auxiliary radiation source through the infrared emission spectrum allocation ratio" described below can be further explained in conjunction with the following description.

[0089] As described in the following steps, a composite band generator comprising a main radiation source and an auxiliary radiation source is employed; the main radiation source is a silicon carbide emitting plate, i.e., a radiation peak wavelength of 3-5 μm, and the auxiliary radiation source is a gold-plated quartz tube, i.e., a radiation peak wavelength of 8-12 μm; the main and auxiliary radiation sources are arranged alternately at an angle of 45°±2°, with a center-to-center distance of 10-15 cm between adjacent units; the energy distribution ratio of the composite band is consistent with the infrared emission spectrum distribution ratio R_final. In a specific embodiment, such as when R_final = 73.5:26.5, the main radiation source accounts for 73.5%, and the auxiliary radiation source accounts for 26.5%.

[0090] In one embodiment of the present invention, the specific process of the step "determining the angle between the main radiation source and the auxiliary radiation source based on the clay content" can be further explained in conjunction with the following description.

[0091] In one embodiment of the present invention, the specific process of "determining the angle between the main radiation source and the auxiliary radiation source based on the clay content" described below can be further explained in conjunction with the following description.

[0092] As described in the following steps, the main radiation source and the auxiliary radiation source are arranged alternately at a preset angle; wherein the preset angle ranges from 43° to 47°; the preset angle is adjusted according to the clay content.

[0093] It should be noted that the clay content in this application includes clay mass, which refers to the percentage of soil particles with a diameter of less than 0.002 mm or 0.005 mm.

[0094] As an example, if the clay content by mass is >30%, it is clay; if the clay content by mass is 15%-30%, it is silt; and if the clay content by mass is <15%, it is sandy soil.

[0095] As an example, when the soil is clay, the infrared generator tilt angle θ = 15° ± 2°; when the soil is sandy, the infrared generator tilt angle θ = 25° ± 2°; the tilt angle is defined as the angle between the radiation source plane and the soil surface, and is adjusted in real time by an electric push rod (stroke accuracy ± 0.5 mm).

[0096] In one embodiment of the present invention, the specific process of "determining the radiation power density based on the clay content and the infrared emission spectrum allocation ratio" described below can be further explained in conjunction with the following description.

[0097] As described in the following steps, if the soil type is clay, the radiant power density is a first preset density; if the soil type is silt, the radiant power density is a second preset density; if the soil type is sandy soil, the radiant power density is a third preset density; the radiant power density is determined based on the first preset density, the second preset density, or the third preset density, and the infrared emission spectrum distribution ratio. It should be noted that the clay content in this application includes clay particle mass, which refers to the percentage of particles with a diameter less than 0.002 mm or 0.005 mm in the soil.

[0098] As an example, if the clay content by mass is >30%, it is clay; if the clay content by mass is 15%-30%, it is silt; and if the clay content by mass is <15%, it is sandy soil.

[0099] As an example, the base power density P_base is determined based on the soil type: for clay, it is a first preset density of 12-15 kW / m²; for silt, it is a second preset density of 8-12 kW / m². 2 If it is sandy soil, then the third preset density is 5-8 kW / m³. 2 Combined with the infrared emission spectrum allocation ratio R_final, the final power density P_final = P_base × (R_final) 35 / 100+R 812 / 100×0.8).

[0100] In one embodiment of the present invention, the specific process of "obtaining infrared soil compaction data based on the infrared emission spectrum allocation ratio and the target soil parameters" described below can be further explained in conjunction with the following description.

[0101] As described in the following steps, the real-time temperature of the target soil is obtained. If the real-time temperature and the clay content are within a preset range, the soil is compacted using the infrared compaction data.

[0102] In one specific embodiment, the real-time temperature of the target soil is measured by a contact or non-contact temperature sensor and is between 15°C and 35°C. If the temperature is <15°C, the infrared radiation heating efficiency is low, the water evaporation rate is slow, especially for bound water, and the cementation reaction of clay minerals, such as the drainage of interlayer water and the recombination of silicon-oxygen bonds, is difficult to activate, thus prolonging the compaction time. If the temperature is >35°C, the surface soil moisture evaporates rapidly, forming a "hard shell" that hinders the migration of internal moisture, leading to internal moisture retention or local overheating and causing shrinkage cracks; at the same time, high temperature may destroy some organic matter, and if the organic matter content is >20%, it will affect the cementation performance.

[0103] In one specific embodiment, a composite band generator is used to emit infrared light. The generator consists of a silicon carbide emitting plate and a gold-plated quartz tube, arranged in a 45° staggered array, with a radiated power density of 5–20 kW / m². 2 The system monitors the soil surface temperature using an infrared thermal imager. When the temperature reaches a set threshold, it automatically triggers a vibratory roller to press down, with an action delay error of less than 0.5 seconds.

[0104] As the device embodiment is basically similar to the method embodiment, the description is relatively simple, and relevant parts can be found in the description of the method embodiment.

[0105] Reference Figure 2 This application illustrates an infrared soil compaction device according to an embodiment of the present application, which specifically includes the following modules:

[0106] The mapping module is used to obtain a spectrum mapping data table by training an artificial intelligence model to establish the correlation between clay content and the energy distribution ratio of the 3-5μm and 8-12μm bands.

[0107] An infrared emission spectrum allocation module is used to acquire target soil parameters and obtain an infrared emission spectrum allocation ratio based on the target soil parameters and the spectrum mapping data table. An infrared soil compaction data module is used to obtain infrared soil compaction data through the infrared emission spectrum allocation ratio and the target soil parameters. The infrared soil compaction data includes the ratio of the primary radiation source to the secondary radiation source, the angle between them, and the radiation power density. Specifically, the ratio of the primary radiation source to the secondary radiation source is obtained through the infrared emission spectrum allocation ratio; the angle between the primary and secondary radiation sources is determined based on the clay content; and the radiation power density is determined based on the clay content and the infrared emission spectrum allocation ratio.

[0108] In one embodiment of the present invention, the infrared emission spectrum allocation module includes:

[0109] Soil moisture content submodule: used to obtain the soil moisture content by non-contact detection of the target soil;

[0110] Clay content submodule: used to determine the clay content by measuring clay minerals in the soil;

[0111] Organic matter content submodule: used to obtain the organic matter content by measuring the organic matter content;

[0112] Infrared emission spectrum allocation ratio submodule: used to calculate the infrared emission spectrum allocation ratio based on the target soil parameters and the spectrum mapping data table.

[0113] In one embodiment of the present invention, the infrared emission spectrum allocation ratio submodule includes:

[0114] Initial allocation ratio submodule: used to input the clay content into the spectrum mapping data table to obtain the initial allocation ratio;

[0115] Correction coefficient submodule: used to correct the soil moisture content to obtain the correction coefficient;

[0116] Organic matter correction item submodule: used to obtain organic matter correction items based on the organic matter content;

[0117] Allocation ratio submodule: used to obtain the infrared emission spectrum allocation ratio based on the organic matter content, initial allocation rate, correction coefficient, and organic matter correction term.

[0118] In one embodiment of the present invention, the allocation ratio submodule includes:

[0119] The module for obtaining the corrected allocation ratio is used to calculate the corrected allocation ratio from the initial allocation rate and the correction coefficient.

[0120] Processing submodule: used to process the correction allocation ratio according to the organic matter correction item and organic matter content to obtain the infrared emission spectrum allocation ratio.

[0121] In one embodiment of the present invention, the infrared soil compaction data module includes:

[0122] Angle submodule: used to arrange the main radiation source and the auxiliary radiation source alternately at a preset angle; wherein the preset angle ranges from 43° to 47°;

[0123] Angle sub-module: used to adjust the preset angle according to the clay content.

[0124] Soil type submodule: used to determine the soil type based on the clay content;

[0125] Radiation power density submodule: used to determine the radiation power density based on the soil type and the infrared emission spectrum allocation ratio.

[0126] Temperature submodule: used to obtain the real-time temperature of the target soil. If the real-time temperature is within a preset range, the soil is compacted using the infrared compaction data.

[0127] As the device embodiment is basically similar to the method embodiment, the description is relatively simple, and relevant parts can be found in the description of the method embodiment.

[0128] Reference Figure 3 This application discloses a computer device for an infrared soil compaction method, which may specifically include the following: acquiring target soil parameters and obtaining an infrared emission spectrum allocation ratio based on the target soil parameter values ​​and a spectrum mapping data table; wherein, the target soil parameters include target soil parameters; obtaining infrared soil compaction data through the infrared emission spectrum allocation ratio and the target soil parameters; wherein, the infrared soil compaction data includes the ratio of a primary radiation source to a secondary radiation source, the angle between them, and the radiation power density; specifically, obtaining the ratio of a primary radiation source to a secondary radiation source through the infrared emission spectrum allocation ratio; determining the angle between the primary radiation source and the secondary radiation source based on the clay content; and determining the radiation power density based on the clay content and the infrared emission spectrum allocation ratio.

[0129] The computer device 12 described above is in the form of a general-purpose computing device. The components of the computer device 12 may include, but are not limited to: one or more processors or processing units 16, memory 28, and a bus 18 connecting different system components (including memory 28 and processing unit 16).

[0130] Bus 18 represents one or more of several bus architectures, including a memory bus or memory controller, a peripheral bus, a graphics acceleration port, a processor, or a local bus using any of the various bus architectures. For example, these architectures include, but are not limited to, the Industry Standard Architecture (ISA) bus, the Micro Channel Architecture (MAC) bus, the Enhanced ISA bus, the Audio / Video Electronics Standards Association (VESA) local bus, and the Peripheral Component Interconnect (PCI) bus.

[0131] Computer device 12 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by computer device 12, including volatile and non-volatile media, removable and non-removable media.

[0132] Memory 28 may include computer system readable media in the form of volatile memory, such as random access memory 30 and / or cache memory 32. Computer device 12 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, storage system 34 may be used to read and write non-removable, non-volatile magnetic media (commonly referred to as a "hard disk drive"). Figure 3 Not shown, a disk drive for reading and writing to a removable non-volatile disk (such as a "floppy disk") and an optical disk drive for reading and writing to a removable non-volatile optical disk (such as a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 18 via one or more data media interfaces. The memory may include at least one program product having a set (e.g., at least one) of program modules 42 configured to perform the functions of the embodiments of this application.

[0133] A program / utility 40 having a set (at least one) of program modules 42 may be stored, for example, in memory. Such program modules 42 include—but are not limited to—an operating system, one or more application programs, other program modules 42, and program data. Each or some combination of these examples may include an implementation of a network environment. Program modules 42 typically perform the functions and / or methods described in the embodiments of this application.

[0134] Computer device 12 can also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, camera, etc.), and with one or more devices that enable an operator to interact with the computer device 12, and / or with any device that enables the computer device 12 to communicate with one or more other computing devices (e.g., network card, modem, etc.). This communication can be performed through I / O interface 22. Furthermore, computer device 12 can also communicate with one or more networks (e.g., local area network (LAN)), wide area network (WAN), and / or public networks (e.g., the Internet) via network adapter 20. Figure 3 As shown, network adapter 20 communicates with other modules of computer device 12 via bus 18. It should be understood that, although... Figure 3 Not shown, it can be combined with computer device 12 to use other hardware and / or software modules, including but not limited to: microcode, device drivers, redundant processing unit 16, external disk drive array, RAID system, tape drive and data backup storage system 34, etc.

[0135] The processing unit 16 executes various functional applications and data processing by running programs stored in memory 28, such as implementing an infrared rammed earth processing method provided in the embodiments of this application.

[0136] That is, when the processing unit 16 executes the above program, it achieves the following: acquiring target soil parameters and obtaining an infrared emission spectrum allocation ratio based on the target soil parameter quantity and the spectrum mapping data table; wherein, the target soil parameters include target soil parameters; obtaining infrared soil compaction data through the infrared emission spectrum allocation ratio and the target soil parameters; wherein, the infrared soil compaction data includes the ratio of the main radiation source to the auxiliary radiation source, the angle between them, and the radiation power density; specifically, obtaining the ratio of the main radiation source to the auxiliary radiation source through the infrared emission spectrum allocation ratio; determining the angle between the main radiation source and the auxiliary radiation source based on the clay content; and determining the radiation power density based on the clay content and the infrared emission spectrum allocation ratio.

[0137] In this application embodiment, the application also provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements an infrared soil compaction method as provided in all embodiments of the application.

[0138] That is, when the program is executed by the processor, it performs the following: acquiring environmental parameters of the target monitoring area, and determining the adjustment delay and calling relationship based on the environmental parameters using a preset first artificial intelligence model; wherein, the environmental parameters include image acquisition device distribution data, site information, and ambient temperature; determining the maximum moving speed threshold of the moving target using a preset second artificial intelligence model based on the adjustment delay; when a moving target is detected and the real-time speed of the moving target is lower than the maximum moving speed threshold, adjusting the video acquisition conditions of the corresponding image acquisition device in the target monitoring area according to the calling relationship.

[0139] Any combination of one or more computer-readable media may be used. A computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. A computer-readable storage medium can be, for example—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of computer-readable storage media include: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this document, a computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in connection with an instruction execution system, apparatus, or device.

[0140] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals may take various forms, including—but not limited to—electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, capable of transmitting, propagating, or transmitting programs for use by or in connection with an instruction execution system, apparatus, or device.

[0141] Computer program code for performing the operations of this application can be written in one or more programming languages ​​or a combination thereof. These programming languages ​​include object-oriented programming languages—such as Java, Smalltalk, and C++—and conventional procedural programming languages—such as the "C" language or similar programming languages. The program code can be executed entirely on the operator's computer, partially on the operator's computer, as a standalone software package, partially on the operator's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the operator's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider). The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably.

[0142] Although preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they become aware of the basic inventive concepts. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the embodiments of the present invention.

[0143] Finally, it should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or terminal device that includes a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or terminal device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article, or terminal device that includes the element.

[0144] The above provides a detailed description of the infrared rammed earth treatment method and apparatus provided in this application. Specific examples have been used to illustrate the principles and implementation methods of this application. The description of the above embodiments is only for the purpose of helping to understand the method and core ideas of this application. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this application. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. An infrared rammed earth treatment method, characterized in that, The method involves matching the obtained target soil parameters with an infrared spectrum ratio for soil compaction; the method includes: wherein the target soil parameters include soil moisture content, clay content, and organic matter content; A spectrum mapping data table was obtained by training an artificial intelligence model to establish the correlation between clay content and the energy distribution ratio in the 3-5μm and 8-12μm bands. Obtain the target soil parameters and, based on the target soil parameter values ​​and the spectrum mapping data table, obtain the infrared emission spectrum allocation ratio; Infrared soil compaction data is obtained by using the infrared emission spectrum allocation ratio and the target soil parameters; wherein, the infrared soil compaction data includes the ratio of the primary radiation source to the secondary radiation source, the angle between them, and the radiation power density; specifically, the ratio of the primary radiation source to the secondary radiation source is obtained by using the infrared emission spectrum allocation ratio; the angle between the primary radiation source and the secondary radiation source is determined based on the clay content; and the radiation power density is determined based on the clay content and the infrared emission spectrum allocation ratio.

2. The infrared rammed earth treatment method according to claim 1, characterized in that, The step of obtaining target soil parameters and obtaining the infrared emission spectrum allocation ratio based on the target soil parameter values ​​and the spectrum mapping data table includes: The soil moisture content was obtained by non-contact testing of the target soil. The clay content was obtained by measuring the clay minerals in the soil. The organic matter content was obtained by measuring the organic matter content; The infrared emission spectrum allocation ratio is calculated based on the target soil parameters and the spectrum mapping data table.

3. The infrared rammed earth treatment method according to claim 2, characterized in that, The step of calculating the infrared emission spectrum allocation ratio based on the target soil parameters and the spectrum mapping data table includes: The clay content is input into the spectrum mapping data table to obtain the initial allocation ratio; The correction coefficient is obtained by correcting the soil moisture content. The organic matter correction term is obtained by correcting the organic matter content. The infrared emission spectrum allocation ratio is obtained based on the organic matter content, the initial allocation rate, the correction coefficient, and the organic matter correction term.

4. The infrared rammed earth treatment method according to claim 3, characterized in that, The step of obtaining the infrared emission spectrum allocation ratio based on the organic matter content, initial allocation rate, correction coefficient, and organic matter correction term includes: The corrected allocation ratio is obtained by calculating the initial allocation rate and the correction coefficient; The infrared emission spectrum allocation ratio is obtained by processing the correction ratio based on the organic matter correction term and organic matter content.

5. The infrared rammed earth treatment method according to claim 1, characterized in that, The step of determining the angle between the primary radiation source and the secondary radiation source based on the clay content includes: The main radiation source and the auxiliary radiation source are arranged alternately at a preset angle; wherein the preset angle ranges from 43° to 47°. The preset angle is adjusted according to the clay content.

6. The infrared rammed earth treatment method according to claim 1, characterized in that, The step of determining the radiant power density based on the clay content and the infrared emission spectrum distribution ratio includes: Soil type is determined based on the clay content; The radiation power density is determined based on the soil type and the infrared emission spectrum allocation ratio.

7. The infrared rammed earth treatment method according to claim 1, characterized in that, The steps for obtaining infrared soil compaction data based on the infrared emission spectrum allocation ratio and the target soil parameters include: The real-time temperature of the target soil is obtained, and if the real-time temperature is within a preset range, the soil is compacted using the infrared compaction data.

8. An infrared soil compaction treatment device, characterized in that, The device performs soil compaction by matching the obtained target soil parameters with an infrared spectrum ratio, wherein the target soil parameters include soil moisture content, clay content, and organic matter content; including: The mapping module is used to obtain a spectrum mapping data table by training an artificial intelligence model to establish the correlation between clay content and the energy distribution ratio of the 3-5μm and 8-12μm bands. The infrared emission spectrum allocation ratio module is used to acquire target soil parameters and obtain the infrared emission spectrum allocation ratio based on the target soil parameter values ​​and the spectrum mapping data table. An infrared soil compaction data module is used to obtain infrared soil compaction data through the infrared emission spectrum allocation ratio and the target soil parameters; wherein, the infrared soil compaction data includes the ratio of the main radiation source to the auxiliary radiation source, the angle between them, and the radiation power density; specifically, the ratio of the main radiation source to the auxiliary radiation source is obtained through the infrared emission spectrum allocation ratio; the angle between the main radiation source and the auxiliary radiation source is determined based on the clay content; and the radiation power density is determined based on the clay content and the infrared emission spectrum allocation ratio.

9. A computer electronic device, characterized in that, It includes a processor, a memory, and a computer program stored in the memory and capable of running on the processor, wherein the computer program, when executed by the processor, implements the steps of the infrared rammed earth treatment method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, A computer program is stored on the computer-readable storage medium, which, when executed by a processor, implements the steps of the infrared rammed earth treatment method as described in any one of claims 1 to 7.

Images