Iot digital intelligent control roller compaction embankment construction system and method

Abstract

The present application relates to the Internet of Things digital intelligent control rolling filling roadbed construction system and method, belongs to the roadbed pavement construction technical field. In view of the traditional construction data island, detection lag and insufficient cooperation problem, the present application includes the Internet of Things platform and the calibration, distribution, monitoring and leveling subsystem connected therewith. The calibration subsystem obtains the compaction parameter; the distribution subsystem executes variable operation; the monitoring subsystem real-time inversion compaction degree; the leveling subsystem automatically repairs the flatness. The platform corrects the distribution amount by space coordinate fusion, triggers the supplement or correction of subsequent distribution according to the compaction feedback, and automatically associates the leveling coordinate, forms the cooperative control closed loop and digital quality file of "calibration-distribution-monitoring-leveling". The present application realizes the digital management and self-adaptive dynamic regulation and control of the whole construction process.

Description

Technical Field

[0001] This invention relates to the field of roadbed filling construction technology, and more specifically, to an Internet of Things-based digital intelligent control rolling compaction roadbed system and construction method. Background Technology

[0002] In subgrade filling construction, compaction is a crucial step in ensuring the strength and stability of the subgrade. Traditional compaction construction typically treats fill material calibration, grid placement, compaction, and leveling / repair as independent processes. In the fill material calibration stage, parameters are often obtained through indoor tests or simple compaction instruments, making it difficult to adapt to fluctuations in the moisture content and gradation of the fill material in real time. In the grid placement stage, manual estimation and hand-pushing are frequently relied upon, resulting in poor uniformity and low efficiency. In the compaction stage, rollers often operate according to preset parameters, lacking a dynamic adjustment mechanism based on real-time compaction feedback, easily leading to under-compaction or over-compaction. In the leveling / repair stage, manual visual inspection and localized grinding are often relied upon, making it difficult to guarantee accuracy. In recent years, although some construction equipment with individual intelligent features has emerged, such as rollers with built-in vibration monitoring or automatic leveling devices, these devices lack a unified data interaction and collaborative control mechanism, creating "information silos" between construction stages and failing to achieve closed-loop linkage and global optimization of construction parameters.

[0003] Therefore, there is an urgent need for an IoT-based digital intelligent control system and method for compacted roadbed construction to solve the problems existing in the current technology. Summary of the Invention

[0004] The purpose of this invention is to provide an IoT-based digital intelligent control system and method for compacted subgrade construction. By constructing an IoT-based digital management and control platform, it deeply integrates filler parameter calibration, gridded material placement, real-time compaction monitoring, and adaptive leveling subsystems, forming a closed-loop collaborative intelligent control system based on real-time data-driven and spatial coordinate linkage: "parameter calibration - dynamic material placement - real-time monitoring - adaptive leveling." To achieve the above objective, this invention adopts the following technical solution: An IoT-based digital intelligent control system and method for compacted subgrade construction, comprising an IoT-based digital management and control platform, and a filler parameter calibration subsystem, a gridded material placement subsystem, a real-time compaction monitoring subsystem, and an adaptive leveling subsystem, all of which are communicatively connected to the IoT-based digital management and control platform.

[0005] The packing parameter calibration subsystem is used to calibrate the on-site packing by dynamically adjusting the compaction energy, obtain the target compaction parameters of the packing, and upload them to the Internet of Things digital management and control platform. The gridded fabric subsystem is used to receive fabric instructions generated by the IoT digital management and control platform based on target compaction parameters and dynamic compensation logic, and to execute variable fabric placement operations. The real-time compaction monitoring subsystem, mounted on the compaction equipment, is used to collect the vibration response data of the roadbed in real time during the compaction operation and feed it back to the Internet of Things digital management and control platform to infer the actual compaction degree of the current area. The adaptive leveling subsystem is used to detect the flatness of the area to be leveled based on the leveling benchmark, and automatically grind and repair the local flatness abnormal areas according to the repair instructions issued by the IoT digital management and control platform. The IoT digital management and control platform integrates and connects the data from various subsystems using spatial coordinates to form a closed-loop collaborative control system for roadbed compaction, consisting of "parameter calibration, dynamic material placement, real-time monitoring, and adaptive leveling."

[0006] Furthermore, the filler parameter calibration subsystem includes a compaction platform, a CNC winch, and an electromagnet mechanism. The CNC winch is set on the compaction platform and is used to pull the electromagnet mechanism to slide vertically. The electromagnet mechanism includes an electromagnet and a counterweight. The electromagnet is controlled by an IoT digital management platform. By adjusting the magnitude of the electromagnetic attraction, it can grab or release the counterweight, thereby precisely controlling the compaction hammer's output of compaction power on the filler in the compaction box.

[0007] Furthermore, the filling parameter calibration subsystem also includes an L-shaped auxiliary support, a fixed pulley support, a pull rope, and a slide rail; the fixed pulley support is fixed on the L-shaped auxiliary support, and the pull rope is driven by a CNC winch and passes around the fixed pulley support, thereby pulling the electromagnet to slide on the slide rail; a monitoring unit connected to the Internet of Things digital management and control platform is provided on the sliding path of the pull rope to monitor the traction status in real time.

[0008] Furthermore, the real-time compaction monitoring subsystem includes a vibration-damping mounting frame fixedly installed at the vibration source of the compaction equipment, and a compaction sensor built into the vibration-damping mounting frame. The vibration-damping mounting frame has a symmetrical structure, consisting of an upper part and a lower part. Vibration-absorbing pads are respectively installed at the upper and lower ends of the compaction sensor to form a clamping fixation. Buffer plates and buffer cavities with built-in buffer air cushions are sequentially installed on the outside of the vibration-absorbing pads to form multi-level buffer protection in the vertical direction. Energy-absorbing springs are also installed on both sides of the vibration-damping mounting frame to reduce lateral vibration interference.

[0009] Furthermore, the gridded fabric distribution subsystem includes a storage bin, a discharge port, and a variable discharge actuator; the variable discharge actuator includes an IoT-enabled CNC motor, a transmission assembly, a rotating lifting rod, and baffles; the IoT-enabled CNC motor drives the rotating lifting rod to rotate through the transmission assembly, and the rotating lifting rod drives the baffles to rotate synchronously to adjust the effective flow cross-sectional area of ​​the discharge port.

[0010] Furthermore, the adaptive leveling subsystem includes a support platform, and a height adjustment component, a flatness closed-loop detection component, and a vehicle-mounted mobile grinder respectively disposed on the support platform; the height adjustment component includes a first leveling column and a second leveling column with adjustable vertical height; the flatness closed-loop detection component includes a laser receiver and a laser emitter respectively disposed on the first leveling column and the second leveling column.

[0011] Furthermore, the vertical height of both the first and second leveling columns can be adjusted using adjustment knobs; when the signal received by the laser receiver deviates from the preset benchmark, an audible and visual alarm is triggered to issue a warning; the vehicle-mounted mobile grinder receives repair instructions issued by the IoT digital management and control platform based on the deviation signal, and performs precise grinding on uneven areas.

[0012] Furthermore, the IoT digital management and control platform incorporates a location calculation module and an adaptive decision model. The location calculation module anchors the real-time spatial coordinates of each subsystem. The adaptive decision model is configured to automatically trigger an alarm if the real-time compaction monitoring subsystem reports that the actual compaction degree of a certain area is lower than the design threshold. Based on the difference, it sends lime feeding parameter instructions for that coordinate area to the gridded material distribution subsystem or sends a compaction instruction to the rolling equipment. The coordinates of the uneven areas detected by the adaptive leveling subsystem are automatically associated with the corresponding material distribution and compaction records to generate a full-section digital quality archive.

[0013] The beneficial effects of this invention are: 1. Breaking down data silos and achieving global collaborative efficiency: This invention integrates and connects four subsystems—filler parameter calibration, gridded material distribution, real-time compaction monitoring, and adaptive leveling—in spatial coordinates through an IoT digital management and control platform. This enables the output data of the preceding process to automatically drive the decision-making and execution of subsequent processes, avoiding the simple mechanical assembly of various equipment and solving the problem of independent operation of each link in traditional construction, thus significantly improving the overall construction efficiency and quality control level.

[0014] 2. Achieving precise matching between variable material placement and dynamic compaction to improve compaction uniformity: The target compaction parameters obtained by the filler parameter calibration subsystem can be directly sent to the gridded material placement subsystem to guide variable material placement. At the same time, the compaction data fed back by the real-time compaction monitoring subsystem during rolling can dynamically correct subsequent compaction parameters or trigger additional compaction commands, forming a closed-loop control of "detection-decision-execution". This effectively avoids under-compaction, over-compaction, or local compaction blind spots, ensuring the uniformity of subgrade compaction.

[0015] 3. The multi-dimensional flexible damping structure ensures the accuracy of monitoring data under strong vibration environment: The real-time compaction monitoring subsystem adopts a three-dimensional protective structure consisting of upper and lower clamping shock-absorbing pads, buffer air pads and transverse energy absorption springs, which effectively isolates the high-frequency vertical impact and transverse vibration interference generated by the excitation source of the compaction equipment, ensuring the measurement accuracy and inversion reliability of the compaction sensor under harsh working conditions.

[0016] 4. Achieve full-process digital traceability of construction quality: Through spatial coordinate anchoring, the coordinates of uneven areas detected by the adaptive leveling subsystem can be automatically linked to the corresponding area's grid placement records and compaction monitoring records, generating a full-section digital quality archive. This completely changes the lag and passivity of post-construction spot checks, and realizes the precise location and traceability of quality problems. Attached Figure Description

[0017] Figure 1 This is a schematic diagram of the installation technology system of the on-site auxiliary support for the electric compactor according to an embodiment of the present invention; Figure 2 This is a schematic diagram of the anti-vibration installation architecture technology of the compaction sensor according to an embodiment of the present invention; Figure 3 This is a schematic diagram of the architecture of the lime line fabric mesh precision control technology according to an embodiment of the present invention; Figure 4 This is a schematic diagram of the architecture of a rapid leveling technology for uneven surfaces according to an embodiment of the present invention. Figure 5 This is a flowchart of an IoT-based digital intelligent control method for compacted roadbed construction according to an embodiment of the present invention.

[0018] Explanation of reference numerals in the attached drawings: 1. Fixed pulley support; 2. L-shaped auxiliary support; 3. Pull rope; 4. CNC winch; 5. Compaction platform; 6. Slide rail; 7. Electromagnet; 8. Counterweight; 9. Compaction hammer; 10. Compaction box; 11. Upper part of mounting frame; 12. Buffer chamber; 13. Vibration-resistant mounting frame; 14. Compaction degree sensor; 15. Lower part of mounting frame; 16. Buffer air cushion; 17. Buffer plate; 18. Energy absorption spring; 19. Vibration-absorbing pad; 20. Belt; 21. Transmission rod; 22. 23. IoT CNC motor; 24. Support column; 25. Transmission wheel; 26. Lifting rod; 27. Storage bucket; 28. Baffle plate; 29. ​​Discharge port; 30. Push handle; 31. Support plate; 32. Universal wheel; 33. Hand-push lime line feeding device; 34. Laser receiver; 35. Adjustment knob; 36. First leveling column; 37. Audible and visual alarm; 38. Vehicle-mounted mobile grinder; 39. Laser emitter; 40. Second leveling column; 41. Leveling and grinding vehicle body; 42. Support platform. Detailed Implementation

[0019] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of this application are within the scope of protection of this application.

[0020] Those skilled in the art should understand that, in the disclosure of this application, the terms "longitudinal," "lateral," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, the above terms should not be construed as limitations on this application.

[0021] Example 1 This embodiment provides an IoT-based digital intelligent control system for compacted subgrade construction, such as... Figures 1 to 4 As shown, the system includes an IoT-based digital management and control platform, as well as subsystems connected to the platform, including a filler parameter calibration subsystem, a gridded material placement subsystem, a real-time compaction monitoring subsystem, and an adaptive leveling subsystem. The IoT-based digital management and control platform integrates and connects the data from each subsystem using spatial coordinates, forming a closed-loop collaborative control system for roadbed compaction that integrates parameter calibration, dynamic material placement, real-time monitoring, and adaptive leveling.

[0022] Specifically, the packing parameter calibration subsystem is used to calibrate the packing material on-site by dynamically adjusting the compaction energy, obtaining the target compaction parameters of the packing material (such as optimum moisture content and maximum dry density) and uploading them to the IoT digital management and control platform. Figure 1 As shown, the filler parameter calibration subsystem includes a compaction platform 5, a CNC winch 4, and an electromagnet mechanism. The CNC winch 4 is mounted on the compaction platform 5 and is used to pull the electromagnet mechanism to slide vertically. The electromagnet mechanism includes an electromagnet 7 and a counterweight 8. The electromagnet 7 has a built-in force sensor and a wireless communication module, controlled by an IoT digital management platform. By adjusting the electromagnetic attraction, it grabs or releases the counterweight 8, thereby precisely controlling the compaction hammer 9's impact power output on the filler in the compaction box 10. The impact power output range is adjustable, for example, 500~2500J. Based on the preset compaction target value and the real-time received electromagnet attraction data, the IoT digital management platform automatically adjusts the current of the electromagnet 7 using a PID control algorithm. Specifically, the platform calculates the deviation e(k) between the target impact power and the actual impact power in real time, and calculates the output current adjustment ΔI using a discretized PID formula to ensure accurate and consistent impact power each time. For example:

[0023] In the formula, For the kth sampling period, the output control quantity represents the electromagnet current adjustment quantity (or current adjustment increment) calculated by the platform in the current intelligent control system; k is the discrete time step number, representing the current control period or sampling time (e.g., the kth compaction operation); e(k-1) is the system deviation of the previous sampling period (the k-1th step); , , These are the proportional, integral, and differential coefficients, respectively.

[0024] Furthermore, such as Figure 1 As shown, the filler parameter calibration subsystem also includes an L-shaped auxiliary support 2, a fixed pulley support 1, a pull rope 3, and a slide rail 6. The fixed pulley support 1 is fixed to the L-shaped auxiliary support 2. The pull rope 3 is driven by a CNC winch 4 and winds around the fixed pulley support 1, thereby pulling the electromagnet 7 to slide on the slide rail 6. A monitoring unit connected to the Internet of Things digital management and control platform is installed on the sliding path of the pull rope 3 to monitor the sliding status of the pull rope 3 on the slide rail 6 in real time, and synchronize the pull rope displacement and speed data to the platform to determine whether the compaction operation is completed according to the set trajectory, ensuring the stability of the traction process.

[0025] The real-time compaction monitoring subsystem is mounted on the compaction equipment and is used to collect vibration response data of the roadbed in real time during the compaction operation, and feed it back to the IoT digital management and control platform to infer the actual compaction degree of the current area. For example... Figure 2 As shown, the real-time compaction monitoring subsystem includes a vibration-damping mounting frame 13 fixedly installed at the excitation source of the compaction equipment (such as above the vibrating wheel), and a compaction sensor 14 built into the vibration-damping mounting frame 13. To avoid severe waveform distortion caused by strong excitation, the vibration-damping mounting frame 13 adopts a multi-dimensional flexible damping structure. Its overall natural frequency is designed to be lower than the high-frequency excitation frequency of the compaction machinery (such as 30~50Hz) and higher than the low-frequency main frequency of the roadbed compaction response (such as 5~15Hz), thereby achieving the frequency selection characteristics of "high-frequency damping and low-frequency transfer function".

[0026] Specifically, the vibration-damping mounting bracket 13 has a symmetrical structure, consisting of an upper part 11 and a lower part 15. Vibration-absorbing pads 19 are respectively installed at the upper and lower ends of the compaction sensor 14 to form a clamping fixation. The vibration-absorbing pads 19 are preferably made of polyurethane rubber with a Shore hardness of 40-60. A buffer plate 17 and a buffer cavity 12 with an internal buffer air cushion 16 are sequentially installed on the outside of the vibration-absorbing pads 19. The initial air pressure of the buffer air cushion 16 is maintained at 0.2-0.4 MPa to form a multi-level buffer protection in the vertical direction. Energy-absorbing springs 18 are also installed on both sides of the vibration-damping mounting bracket 13 to reduce lateral vibration interference. This multi-level flexible vibration isolation structure filters high-frequency mechanical impacts while ensuring that low-frequency effective signals can be transmitted to the compaction sensor 14 without loss. The platform compensates for distortion using a transfer function established through calibration tests. The specific inversion logic is as follows: The platform extracts the amplitude and frequency characteristics of the vibration response through Fast Fourier Transform (FFT) and substitutes them into a pre-calibrated regression equation (such as K=αA+βf+γ, where K is the compaction degree, A is the amplitude, f is the frequency, and α, β, γ are empirical coefficients of the platform based on the fitting of calibration subsystem data and field working conditions) to deduce the actual compaction degree, thus ensuring the accuracy of the measurement.

[0027] The gridded fabric subsystem receives fabric instructions generated by the IoT digital management platform based on target compaction parameters and dynamic compensation logic, and executes variable fabric placement operations. For example... Figure 3 As shown, the hand-push type lime line spreading device 32 is equipped with a pusher 29, a support plate 30, a support column 23, and omnidirectional wheels 31, forming a mobile working platform. The grid-type spreading subsystem includes a storage tank 26, a discharge port 28, and a variable discharge actuator. The variable discharge actuator includes an IoT CNC motor 22, a transmission assembly, a rotating lifting rod 25, and a baffle 27, all housed within the support plate 30. The transmission assembly includes a transmission rod 21, a belt 20, and a transmission wheel 24. The IoT CNC motor 22 drives the transmission wheel 24 via the transmission rod 21 and the belt 20. The transmission wheel 24 drives the rotating lifting rod 25 to rotate. A butterfly valve baffle 27 is provided at the discharge port 28. The rotating lifting rod 25 is coaxially connected to the valve core of the baffle 27. When rotating, the baffle 27 rotates synchronously to adjust the effective flow cross-sectional area of ​​the discharge port 28. The IoT-enabled CNC motor 22 has a built-in positioning module (such as RTK-GPS). The platform automatically plans the material placement path based on a pre-imported construction grid map (usually divided into 1m×1m or 2m×2m grid units) and calculates the required lime output in real time based on the target compaction parameters (50~150kg / m³ depending on the soil type). 2The system dynamically adjusts the distance between the points of contact (by controlling the motor speed and the opening and closing time of the baffle 27) to achieve variable material distribution. After material distribution is completed, the platform automatically records the coordinates of the distributed area to avoid duplication or omission. When the measured compaction degree is lower than the design threshold, the platform calculates the compaction degree difference ΔK, and generates the lime replenishment increment ΔQ=λ×ΔK according to the preset compensation coefficient λ, which is then sent to the material distribution subsystem for dynamic compensation.

[0028] The adaptive leveling subsystem is used to detect the flatness of the area to be leveled based on a leveling benchmark, and automatically grinds and repairs areas with abnormal flatness according to repair instructions issued by the IoT digital management and control platform. For example... Figure 4 As shown, the leveling and grinding vehicle body 40 is equipped with a pusher 29, a support platform 41, and omnidirectional wheels 31, forming a mobile working platform. The adaptive leveling subsystem includes the support platform 41, and a height adjustment component, a flatness closed-loop detection component, and a vehicle-mounted mobile grinder 37, all respectively mounted on the support platform 41. The height adjustment component includes a first leveling column 35 and a second leveling column 39 with adjustable vertical height. The vertical height of both the first leveling column 35 and the second leveling column 39 is adjusted by an adjustment knob 34. The flatness closed-loop detection component includes a laser receiver 33 and a laser emitter 38 respectively mounted on the first leveling column 35 and the second leveling column 39. The laser emitter 38 emits a horizontally rotating fan-shaped laser surface, which is received by the laser receiver 33 to establish a leveling reference. When the vehicle moves to an uneven area, the change in ground elevation causes the laser beam to shift in the position of the laser on the laser receiver 33, thereby generating an elevation deviation signal. When the deviation exceeds a preset threshold, the audible and visual alarm 36 is triggered to issue a corresponding warning to indicate the location and extent of the unevenness. At the same time, the detection data is uploaded to the IoT digital management and control platform in real time. The platform automatically calculates the grinding depth and path based on the deviation value and sends control commands to the CNC execution unit of the vehicle-mounted mobile grinder 37 to achieve precise grinding.

[0029] In this embodiment, the IoT digital management and control platform incorporates a location calculation module and an adaptive decision model. The location calculation module anchors the real-time spatial coordinates of each subsystem, achieving data alignment in the spatial dimension. The adaptive decision model is configured as follows: If the real-time compaction monitoring subsystem reports that the actual compaction degree of a certain area is lower than the design threshold, an alarm will be automatically triggered, and a lime feeding parameter instruction for that coordinate area will be sent to the gridded material placement subsystem based on the difference, or a compaction instruction will be sent to the rolling equipment; the coordinates of the uneven area detected by the adaptive leveling subsystem will be automatically associated with the corresponding material placement record and compaction record to generate a full-section digital quality archive.

[0030] To fully demonstrate the collaborative closed-loop feature of this invention, a typical cross-system collaborative working scenario is described in detail below: 1. When the real-time compaction monitoring subsystem detects that the measured compaction degree K1=95% at coordinate point P(10,10), which is lower than the design threshold K0=98%, the platform's adaptive decision-making model is triggered: 2. First, the platform calculates the difference ΔK=3%, generates the lime feeding increment ΔQ according to the preset compensation coefficient λ, and sends an instruction to the gridded material distribution subsystem to increase the corresponding lime content in the adjacent material distribution grid P(11,10) of point P to improve the filler gradation. 3. Secondly, the platform sends a compaction instruction to the compaction equipment, causing it to perform two additional compaction passes at point P; 4. Subsequently, when the adaptive leveling subsystem moves to point P, the laser detects a local protrusion, and the platform controls the vehicle-mounted mobile grinder 37 to perform precise grinding; 5. After grinding is completed, the platform automatically binds and stores the pressure replenishment record of point P, the ash addition record of adjacent grids, and the leveling deviation value into the digital archive, realizing a closed-loop intelligent control of all elements from detection to decision execution and traceability.

[0031] Example 2 like Figure 5 As shown, this embodiment provides an IoT-based digital intelligent control method for compacted roadbed construction based on the system described in Embodiment 1 above, comprising the following steps: S1. The compaction energy is dynamically adjusted through the filler parameter calibration subsystem to calibrate the filler material on site, obtain the target compaction parameters, and upload them to the IoT digital management and control platform. Specifically, a CNC winch 4 and a compaction box 10 are installed on the preset compaction platform 5. The CNC winch 4 drives the pull rope 3 to slide around the fixed pulley support 1 and pull the electromagnet 7. The electromagnet 7 is used to adjust the attraction force to grab or release the counterweight 8. The platform calculates the compaction work deviation in real time and outputs the current adjustment amount ΔI to accurately control the compaction work output of the compaction hammer 9. The monitoring unit monitors the status of the pull rope 3 in real time, and the platform records the displacement-force curve in real time for compaction quality analysis. S2, the IoT digital management and control platform generates variable material placement instructions based on target compaction parameters and dynamic compensation logic. The gridded material placement subsystem receives these instructions and executes the material placement operation. Specifically, the platform automatically generates a 1m×1m or 2m×2m gridded material placement diagram based on the compaction parameters and design drawings obtained in S1. The IoT CNC motor 22 drives the rotating lifting rod 25 and the butterfly valve baffle 27 to rotate through the transmission component, adjusting the effective flow cross-sectional area of ​​the discharge port 28 to achieve variable material placement. The platform automatically updates the construction progress diagram. S3. During the compaction process, the real-time compaction monitoring subsystem collects and uploads the vibration response data of the roadbed in real time. The platform uses the collected data to invert the actual compaction degree and dynamically issues additional compaction instructions or corrects subsequent material placement instructions based on the comparison results between the actual compaction degree and the design threshold.

[0032] Specifically, the platform extracts amplitude and frequency features through FFT and substitutes them into the regression equation to invert the actual compaction degree. If the actual compaction degree K1 of a certain area is lower than the design threshold K0, the platform calculates the difference ΔK=K0-K1, calculates the material increment ΔQ=λ×ΔK according to the compensation coefficient λ, automatically generates and sends the lime variable material parameters for that coordinate position, or issues a compaction command to the rolling machinery. S4. The adaptive leveling subsystem detects flatness and uploads deviation data. The platform calculates the repair path and issues repair instructions. The adaptive leveling subsystem then performs automatic grinding and repair.

[0033] Specifically, the laser emitter 38 emits a horizontally rotating fan-shaped laser surface, which is received by the laser receiver 33 to establish a leveling benchmark. Changes in ground elevation cause the laser beam to shift in position, generating a deviation signal. The platform automatically plans the grinding trajectory and depth based on the deviation value and sends it to the vehicle-mounted mobile grinder 37 to perform closed-loop repair. The platform fuses the data from the above steps into spatial coordinates to form a collaborative control closed loop. In step S4, the platform automatically associates the coordinates of the detected uneven areas with the corresponding grid material data and compaction data to generate a full-section digital quality archive containing construction parameters, test results, and personnel information.

[0034] The parts not described in detail in this application are prior art, and therefore are not described in detail in this application.

[0035] It is understood that the term "a" should be understood as "at least one" or "one or more", that is, in one embodiment, the number of an element can be one, while in another embodiment, the number of the element can be multiple, and the term "a" should not be understood as a limitation on the number.

[0036] Although this document uses a significant amount of technical terminology, the possibility of using other terms is not excluded. These terms are used merely to facilitate the description and explanation of the nature of this application; interpreting them as any additional limitation would be contrary to the spirit of this application.

[0037] This application is not limited to the above-described preferred embodiments. Anyone can derive other products in various forms under the guidance of this application. However, regardless of any changes made to their shape or structure, any technical solution that is the same as or similar to that of this application falls within the protection scope of this application.

Claims

1. An IoT-based digital intelligent control system for compacted subgrade construction, characterized in that, It includes an IoT digital management and control platform, as well as a filler parameter calibration subsystem, a gridded material distribution subsystem, a real-time compaction monitoring subsystem, and an adaptive leveling subsystem, all of which are communicatively connected to the IoT digital management and control platform. The packing parameter calibration subsystem is used to calibrate the on-site packing by dynamically adjusting the compaction energy, obtain the target compaction parameters of the packing, and upload them to the Internet of Things digital management and control platform. The gridded fabric subsystem is used to receive fabric instructions generated by the IoT digital management and control platform based on the target compaction parameters and dynamic compensation logic, and to execute variable fabric laying operations. The real-time compaction monitoring subsystem is mounted on the compaction equipment and is used to collect the vibration response data of the roadbed in real time during the compaction operation and feed it back to the Internet of Things digital management and control platform to infer the actual compaction degree of the current area. The adaptive leveling subsystem is used to detect the flatness of the area to be leveled based on the leveling benchmark, and to automatically grind and repair the local flatness abnormal areas according to the repair instructions issued by the Internet of Things digital management and control platform. The IoT digital management and control platform integrates and connects the data from each subsystem using spatial coordinates to form a closed-loop collaborative control system for roadbed compaction, consisting of "parameter calibration, dynamic material placement, real-time monitoring, and adaptive leveling." 2. The IoT-based digital intelligent control roller compaction subgrade construction system according to claim 1, characterized in that: The filling parameter calibration subsystem includes a compaction platform (5), a CNC winch (4), and an electromagnet mechanism; The CNC winch (4) is set on the compaction platform (5) and is used to pull the electromagnet mechanism to slide vertically. The electromagnet mechanism includes an electromagnet (7) and a counterweight (8). The electromagnet (7) is controlled by the Internet of Things digital management platform. By adjusting the magnitude of the electromagnetic attraction, it can grab or release the counterweight (8), thereby accurately controlling the compaction hammer (9) to output the compaction work of the filling material in the compaction box (10).

3. The IoT-based digital intelligent control roller compaction subgrade construction system according to claim 2, characterized in that: The filling parameter calibration subsystem also includes an L-shaped auxiliary support (2), a fixed pulley support (1), a pull rope (3), and a slide rail (6). The fixed pulley support (1) is fixed on the L-shaped auxiliary bracket (2), and the pull rope (3) is driven by the CNC winch (4) and passes around the fixed pulley support (1), thereby pulling the electromagnet (7) to slide on the slide rail (6); The sliding path of the pull rope (3) is equipped with a monitoring unit connected to the Internet of Things digital management and control platform for real-time monitoring of the traction status.

4. The IoT-based digital intelligent control roller compaction subgrade construction system according to claim 1, characterized in that: The real-time compaction monitoring subsystem includes a vibration-damping mounting frame (13) fixedly installed at the vibration source of the rolling equipment, and a compaction sensor (14) built into the vibration-damping mounting frame (13). The shockproof mounting bracket (13) has a symmetrical structure, consisting of an upper part (11) and a lower part (15). Shock-absorbing pads (19) are respectively provided at the upper and lower ends of the compaction sensor (14) to form a clamping and fixing. A buffer plate (17) and a buffer cavity (12) with a built-in buffer air cushion (16) are sequentially provided on the outside of the shock-absorbing pads (19) to form a multi-level buffer protection in the vertical direction. The shockproof mounting bracket (13) is also equipped with energy absorption springs (18) on both sides of its exterior to reduce lateral vibration interference.

5. The IoT-based digital intelligent control roller compaction subgrade construction system according to claim 1, characterized in that: The gridded fabric subsystem includes a storage tank (26), a discharge port (28), and a variable feeding actuator; The variable feeding actuator includes an IoT CNC motor (22), a transmission assembly, a rotating lifting rod (25), and a baffle (27). The IoT CNC motor (22) drives the rotating lifting rod (25) to rotate through the transmission component. The rotating lifting rod (25) drives the baffle (27) to rotate synchronously to adjust the effective flow cross-sectional area of ​​the discharge port (28).

6. The IoT-based digital intelligent control roller compaction subgrade construction system according to claim 1, characterized in that: The adaptive leveling subsystem includes a support platform (41), and a height adjustment component, a flatness closed-loop detection component, and a vehicle-mounted mobile grinder (37) respectively disposed on the support platform (41). The height adjustment assembly includes a first leveling column (35) and a second leveling column (39) with adjustable vertical height. The flatness closed-loop detection component includes a laser receiver (33) and a laser emitter (38) respectively disposed on the first leveling column (35) and the second leveling column (39).

7. The IoT-based digital intelligent control roller compaction subgrade construction system according to claim 6, characterized in that: The vertical height of both the first leveling column (35) and the second leveling column (39) can be adjusted by adjusting the knob (34); When the signal received by the laser receiver (33) deviates from the preset reference, the sound and light alarm (36) is triggered to issue a warning; the vehicle-mounted mobile polisher (37) receives the repair instruction issued by the Internet of Things digital management and control platform based on the deviation signal and performs precise polishing on the uneven parts.

8. The IoT-based digital intelligent control roller compaction subgrade construction system according to claim 1, characterized in that: The IoT digital management and control platform has a built-in location calculation module and an adaptive decision model. The location calculation module anchors the real-time spatial coordinates of each subsystem; The adaptive decision model is configured as follows: If the real-time compaction monitoring subsystem reports that the actual compaction degree of a certain area is lower than the design threshold, an alarm will be automatically triggered, and a lime feeding parameter instruction for that coordinate area will be sent to the gridded material placement subsystem according to the difference, or a compaction instruction will be sent to the rolling equipment; and the coordinates of the uneven area detected by the adaptive leveling subsystem will be automatically associated with the corresponding material placement record and compaction record to generate a full-section digital quality archive.

9. A method for constructing a roadbed using IoT-based digital intelligent control of roller compaction based on the system described in any one of claims 1 to 8, characterized in that, Includes the following steps: S1. The compaction energy is dynamically adjusted through the packing parameter calibration subsystem to calibrate the on-site packing, obtain the target compaction parameters, and upload them to the Internet of Things digital management and control platform. S2. The IoT digital management and control platform generates variable fabric laying instructions based on the target compaction parameters and dynamic compensation logic. The gridded fabric laying subsystem receives the instructions and executes the fabric laying operation. S3. During the compaction process, the real-time compaction monitoring subsystem collects and uploads the vibration response data of the roadbed in real time. The platform uses the collected data to invert the actual compaction degree and dynamically issues additional compaction instructions or corrects subsequent material placement instructions based on the comparison results between the actual compaction degree and the design threshold. S4. The adaptive leveling subsystem detects flatness and uploads deviation data. The platform calculates the repair path and issues repair instructions. The adaptive leveling subsystem then performs automatic grinding and repair. The platform fuses the data from the above steps into spatial coordinates to form a collaborative control closed loop.

10. The IoT-based digital intelligent control method for compacted subgrade construction according to claim 9, characterized in that: In step S3, if the actual compaction degree of a certain area is lower than the design threshold, the platform automatically generates and sends the lime variable feeding parameters for that coordinate location. In step S4, the platform automatically associates the coordinates of the detected uneven areas with the corresponding grid fabric data and compaction data to generate a full-section digital quality archive containing construction parameters, test results and personnel information.

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