A group machine operation rolling construction monitoring method, system, device and medium

Abstract

The application relates to the technical field of airport construction engineering, in particular to a roller compaction construction monitoring method, system, equipment and medium of group machine operation. First, according to the operation efficiency parameters of a road roller and a paver, the construction area is divided into grid units with unique identifiers, and a digital model of the construction area is established; then real-time construction data such as position and compaction degree are collected through a vehicle-mounted sensor, and time synchronization and data exchange among multiple devices are realized by using a WiFi direct protocol; then intelligent algorithms are used to process the roller compaction trajectories two by two, calculate the roller compaction passes and the compaction degree of each grid unit, generate quality evaluation results and dynamic adjustment instructions; finally, based on the evaluation results, real-time monitoring and acceptance calculation are performed to form a construction quality control report; not only the precise cooperation of multiple machines and the dynamic monitoring of construction quality are realized, but also repeated work is effectively avoided, and the construction efficiency is improved.

Description

Technical Field

[0001] This application relates to the technical field of airport construction engineering, and in particular to a method, system, equipment and medium for monitoring compaction construction of multiple aircraft. Background Technology

[0002] With the rapid development of the aviation industry, the scale of airport construction is constantly expanding. Earthwork engineering, as an important component of airport construction, directly affects the overall performance and operational safety of the airport through its construction quality and efficiency. In airport earthwork engineering, compaction is a key step in ensuring soil compaction and improving the bearing capacity of the foundation.

[0003] Traditional compaction methods typically rely on manual operation and experience-based judgment, making precise control difficult. Furthermore, due to the complex and variable environment of construction sites, when multiple machines work collaboratively within the same work unit, problems such as poor communication, unreasonable task allocation, and difficulty in synchronizing work times often arise, leading to challenges in ensuring construction quality.

[0004] Furthermore, traditional methods for monitoring compaction construction are often limited to monitoring single pieces of equipment, lacking overall monitoring and management of multiple machines operating collaboratively. This makes it difficult for construction managers to fully grasp the construction progress and adjust construction plans in a timely manner, thus affecting construction efficiency and quality. This situation needs further improvement. Summary of the Invention

[0005] To address the issue that existing compaction construction monitoring methods only focus on single-machine operation and lack overall monitoring and management of multiple machines operating collaboratively, this application provides a method, system, equipment, and medium for monitoring compaction construction involving multiple machines, employing the following technical solution:

[0006] In a first aspect, this application provides a method for monitoring compaction construction using multiple compaction machines, comprising the following steps:

[0007] The construction unit division scheme is calculated based on the preset operating efficiency parameters of the road roller and paver, and the construction grid unit data is obtained.

[0008] Based on the construction grid unit data, real-time construction data is collected, and time synchronization and data exchange are performed to obtain real-time construction process data;

[0009] Based on the real-time construction process data, the intelligent algorithm for the number of compaction passes is run to calculate the number of compaction passes and the degree of compaction of each grid unit, and the compaction quality assessment results and dynamic adjustment instructions are obtained.

[0010] Based on the compaction quality assessment results and the dynamic adjustment instructions, real-time quality monitoring and acceptance calculations are performed to obtain a construction quality control report.

[0011] By adopting the above technical solution, this application first divides the construction area into uniquely identified grid units based on the operating efficiency parameters of the road roller and paver, establishing a digital model of the construction area; then, it collects real-time construction data such as location and compaction degree through vehicle-mounted sensors, and uses the WiFi direct connection protocol to achieve time synchronization and data exchange between multiple devices; next, it uses intelligent algorithms to perform pairwise intersection processing on the compaction trajectory, calculates the number of compaction passes and compaction degree of each grid unit, and generates quality assessment results and dynamic adjustment instructions; finally, it performs real-time monitoring and acceptance calculations based on the assessment results, forming a construction quality control report; this not only achieves precise coordination of multiple machines and dynamic monitoring of construction quality, but also effectively avoids repetitive work and improves construction efficiency.

[0012] Optionally, based on the construction grid unit data, construction process data is collected, and time synchronization and data exchange are performed to obtain real-time construction process data, specifically including the following steps:

[0013] Based on the construction grid unit data, real-time construction parameters are obtained by collecting location coordinates, compaction degree, moisture content, temperature and vibration frequency through sensors and monitoring equipment deployed on the road roller;

[0014] Based on the real-time construction parameters, the corresponding construction task data is sent to the vehicle-mounted terminal of each construction unit to obtain the construction task allocation result.

[0015] Based on the construction task allocation results, the time synchronization calculation of the road roller and paver is performed to obtain the synchronous operation time data;

[0016] Based on the synchronous operation time data, communication between devices is established and data exchange is performed using the WiFi Direct protocol to obtain real-time construction process data.

[0017] By adopting the above technical solution, this application first deploys multiple types of sensors and monitoring equipment on the road roller to collect construction parameters in real time, including position coordinates, compaction degree, moisture content, temperature, and vibration frequency. Then, based on the collected real-time parameters, the system automatically sends construction task data to the on-board terminals of each construction unit, realizing intelligent task allocation. Next, a dedicated time synchronization algorithm ensures accurate coordination of the operation sequence between the road roller and the paver. Finally, a real-time communication network between the devices is established using the WiFi direct connection protocol to achieve rapid data exchange and sharing. This not only solves the problems of comprehensive and real-time data collection but also ensures the orderly operation of multiple machines through intelligent task allocation and time synchronization mechanisms, significantly improving construction efficiency and quality control.

[0018] Optionally, based on the real-time construction process data, an intelligent algorithm for calculating the number of compaction passes and compaction degree of each grid unit is run to obtain compaction quality assessment results and dynamic adjustment instructions, specifically including the following steps:

[0019] Based on real-time construction process data, combined with grid unit size and design compaction requirements, the required and completed number of compaction passes for each unit are calculated to obtain compaction pass distribution data.

[0020] Based on the compaction pass distribution data, multiple mechanical trajectory data are combined in pairs to obtain trajectory surface data with different compaction passes.

[0021] Based on the trajectory surface data and the real-time detected compaction data, the difference between the compaction degree of each grid cell and the design requirement is calculated to obtain dynamic adjustment instructions;

[0022] Based on the dynamic adjustment command and the compaction pass distribution data, the compaction trajectory and compaction path surface are plotted to obtain the compaction quality evaluation result.

[0023] By adopting the above technical solution, this application first calculates the theoretical number of compaction passes and the actual number of passes required for each grid unit based on real-time collected construction data, combined with the grid unit size and design compaction requirements, forming a compaction pass distribution map; then, it performs pairwise cross-combination calculations on the trajectory data of multiple rollers, and obtains the actual number of compaction passes for different areas through trajectory overlay analysis; next, it compares and analyzes the real-time detected compaction data with the design requirements, calculates the compaction difference, and automatically generates construction adjustment instructions; finally, based on the adjustment instructions and pass distribution data, it intuitively displays the compaction trajectory and compaction path, forming a complete quality assessment result; through digital means, it realizes the accurate calculation of the number of compaction passes and the real-time assessment of compaction quality, providing construction personnel with timely and effective decision-making basis and improving the quality control level of compaction construction.

[0024] Optionally, based on the compaction quality assessment results and the dynamic adjustment instructions, real-time quality monitoring and acceptance calculations are performed to obtain a construction quality control report, specifically including the following steps:

[0025] Based on the compaction quality assessment results, the number of compaction passes and compaction degree data of each grid cell are displayed and updated in real time on the user interface to obtain construction progress monitoring data;

[0026] Based on the construction progress monitoring data, the compaction parameters of each grid unit are automatically detected to ensure they meet the design requirements, and the quality inspection results are obtained.

[0027] Based on the quality inspection results and the dynamic adjustment instructions, the optimized construction parameters are calculated to obtain the construction plan adjustment data.

[0028] Based on the adjusted data of the construction plan, the changes in grid unit parameters before and after construction are compared to obtain a construction quality control report.

[0029] By adopting the above technical solution, this application first displays the compaction construction status in real time through the user interface, presenting the number of compaction passes and compaction degree data of each grid unit in an intuitive way, making it easy for construction personnel to keep track of the construction progress at any time; then, the system automatically compares the actual compaction parameters of each grid unit with the design requirements, quickly identifying unqualified areas; next, based on the test results and dynamic adjustment instructions, the system automatically calculates and generates optimized construction parameters to guide on-site construction personnel to adjust the work plan in a timely manner; finally, by comparing the changes of various parameters before and after construction, a comprehensive and detailed quality control report is generated; thus, the visualization and intelligentization of compaction construction quality monitoring are realized, enabling construction management personnel to keep track of the construction status in real time, promptly identify and handle quality problems, thereby ensuring project quality and construction efficiency.

[0030] Optionally, based on real-time construction process data, combined with the grid unit size and design compaction requirements, the required and completed number of compaction passes for each unit is calculated to obtain compaction pass distribution data. This includes the following steps:

[0031] The construction area is gridded according to a preset size, the grid boundary coordinates are recorded and assigned a unique code, and the construction grid data is obtained.

[0032] Based on the construction grid data, the roller trajectory is linearized and combined with the wheel track parameter to obtain trajectory surface data;

[0033] Based on the trajectory surface data, segmentation is performed at the grid area boundaries and the roller turning points to obtain segmented trajectory surface data;

[0034] Based on the segmented trajectory surface data, a pairwise intersection operation of the trajectory surfaces is performed to obtain non-overlapping block region data.

[0035] The independent regions in the block region data are numbered, the boundary coordinates of overlapping regions are recorded, and the number of compaction passes is accumulated to obtain the region compaction pass data.

[0036] Based on the number of passes in the region, the region is intersected and fitted with the grid to obtain the distribution data of the number of passes.

[0037] By adopting the above technical solution, this application performs gridding of the construction area according to a preset size, records the grid boundary coordinates and assigns a unique code to obtain construction grid data; based on the construction grid data, the roller trajectory is linearized and combined with wheel track parameters to obtain trajectory surface data; according to the trajectory surface data, segmentation is performed at the grid area boundaries and roller turning points to obtain segmented trajectory surface data, and pairwise intersection operations are performed on the trajectory surfaces to obtain non-overlapping block area data, and the independent areas in the block area data are numbered, the boundary coordinates of overlapping areas are recorded and the number of compaction passes is accumulated to obtain area pass count data; based on the area pass count data, the area is intersected and fitted with the grid to obtain the compaction pass count distribution data; this application solves the problem of pass count statistics error caused by trajectory intersection and area overlap in traditional methods by segmenting the trajectory surface, performing intersection operations and grid fitting.

[0038] Secondly, this application provides a monitoring system for compaction construction using multiple machines, comprising:

[0039] The construction unit division module is used to calculate the construction unit division scheme based on the preset operating efficiency parameters of road rollers and pavers, and obtain construction grid unit data;

[0040] The data acquisition module is used to collect real-time construction data based on the construction grid unit data, and to perform time synchronization and data exchange to obtain real-time construction process data;

[0041] The intelligent algorithm module is used to run an intelligent algorithm for compaction passes based on the real-time construction process data to calculate the number of compaction passes and compaction degree of each grid unit, and obtain compaction quality assessment results and dynamic adjustment instructions.

[0042] The quality monitoring module is used to perform real-time quality monitoring and acceptance calculations based on the compaction quality assessment results and the dynamic adjustment instructions, and to obtain a construction quality control report.

[0043] Optionally, the data acquisition module includes:

[0044] The parameter acquisition unit is used to collect location coordinates, compaction degree, moisture content, temperature and vibration frequency based on the construction grid unit data through sensors and monitoring equipment deployed on the road roller, so as to obtain real-time construction parameters.

[0045] The task allocation unit is used to send the corresponding construction task data to the vehicle terminal of each construction unit based on the real-time construction parameters, and obtain the construction task allocation result.

[0046] The time synchronization unit is used to perform time synchronization calculations for the road roller and paver based on the construction task allocation results, and obtain synchronized operation time data.

[0047] The data exchange unit is used to establish communication between devices and perform data exchange based on the synchronous operation time data using the WiFi Direct connection protocol, so as to obtain real-time construction process data.

[0048] Optionally, the intelligent algorithm module includes:

[0049] The compaction pass calculation unit is used to calculate the required and completed compaction passes for each unit based on real-time construction process data, combined with grid unit size and design compaction requirements, to obtain compaction pass distribution data.

[0050] The trajectory processing unit is used to perform pairwise cross-processing on multiple mechanical trajectory data based on the rolling pass distribution data to obtain trajectory surface data with different rolling passes.

[0051] The adjustment calculation unit is used to calculate the difference between the compaction degree of each grid cell and the design requirement based on the trajectory surface data and the real-time detected compaction degree data, and obtain dynamic adjustment instructions;

[0052] The evaluation generation unit is used to draw the compaction trajectory and compaction path surface based on the dynamic adjustment command and the compaction pass distribution data, and obtain the compaction quality evaluation result.

[0053] Thirdly, this application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the above-described method for monitoring compaction construction in a group operation.

[0054] Fourthly, this application provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the above-described method for monitoring compaction construction using a group of machines.

[0055] In summary, this application includes at least one of the following beneficial technical effects:

[0056] This application first divides the construction area into uniquely identified grid units based on the operating efficiency parameters of road rollers and pavers, establishing a digital model of the construction area. Then, it collects real-time construction data such as location and compaction degree using vehicle-mounted sensors, and utilizes a WiFi direct connection protocol to achieve time synchronization and data exchange between multiple devices. Next, it employs intelligent algorithms to perform pairwise intersection processing on the compaction trajectories, calculating the number of compaction passes and compaction degree for each grid unit, generating quality assessment results and dynamic adjustment instructions. Finally, based on the assessment results, it performs real-time monitoring and acceptance calculations, generating a construction quality control report. This not only achieves precise coordination among multiple machines and dynamic monitoring of construction quality but also effectively avoids repetitive work and improves construction efficiency.

[0057] This application first deploys multiple types of sensors and monitoring equipment on the road roller to collect construction parameters in real time, including location coordinates, compaction degree, moisture content, temperature, and vibration frequency. Then, based on the collected real-time parameters, the system automatically distributes construction task data to the on-board terminals of each construction unit, achieving intelligent task allocation. Next, a dedicated time synchronization algorithm ensures accurate coordination of the operation sequence between the road roller and the paver. Finally, a real-time communication network between the devices is established using a WiFi direct connection protocol, enabling rapid data exchange and sharing. This not only solves the problems of comprehensive and real-time data collection but also ensures the orderly operation of multiple machines through intelligent task allocation and time synchronization mechanisms, significantly improving construction efficiency and quality control.

[0058] This application first calculates the theoretical and actual number of compaction passes required for each grid cell based on real-time collected construction data, combined with the grid cell size and design compaction requirements, thus generating a compaction pass distribution map. Then, it performs pairwise cross-combination calculations on the trajectory data of multiple rollers, obtaining the actual number of compaction passes for different areas through trajectory overlay analysis. Next, it compares and analyzes the real-time detected compaction data with the design requirements, calculates the compaction difference, and automatically generates construction adjustment instructions. Finally, based on the adjustment instructions and pass distribution data, it visually displays the compaction trajectory and compaction path, forming a complete quality assessment result. Through digital means, it achieves accurate calculation of compaction passes and real-time assessment of compaction quality, providing construction personnel with timely and effective decision-making support and improving the quality control level of compaction construction. Attached Figure Description

[0059] Figure 1 This is a flowchart illustrating a method for monitoring compaction construction using multiple machines in accordance with an embodiment of this application.

[0060] Figure 2 This is a schematic diagram of the construction unit division in an embodiment of this application;

[0061] Figure 3 This is a schematic diagram of the pairwise intersection of the trajectory surfaces of the roller compaction pass monitoring algorithm in the embodiments of this application;

[0062] Figure 4 This is a multi-machine linkage compaction trajectory diagram according to an embodiment of this application;

[0063] Figure 5 This is a schematic diagram of a module of a roller compaction monitoring system for group operation according to an embodiment of this application;

[0064] Figure 6 This is an internal structural diagram of an electronic device according to an embodiment of this application. Detailed Implementation

[0065] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0066] Please see Figure 1 The present invention provides a method and system for monitoring compaction construction in which multiple machines operate within the same work unit, comprising the following steps and functions:

[0067] Step S1: Construction unit division. The construction unit division scheme is calculated based on the preset operating efficiency parameters of the road roller and paver to obtain the construction grid unit data.

[0068] In this embodiment, based on the operating efficiency of the road roller and paver, the airport earthwork compaction construction area is divided into multiple construction units according to a predetermined ratio, and each construction unit is assigned a unique identification number.

[0069] Specifically, firstly, based on the compaction speed and wheel width of the road roller, and the paving speed and paving width of the paver, the unit time operating capacity of a single piece of equipment is determined. Simultaneously, considering the total area, shape, and boundary characteristics of the construction area, as well as constraints such as the design requirements for the number of compaction passes, compaction standards, and the maximum allowable operating time per unit, the reasonable size of the grid is calculated. The grid width must be compatible with the paver's paving width to avoid paving joints spanning units; the length must meet the minimum length requirement for continuous compaction by the road roller, and the estimated operating time of a single grid is used to verify whether it exceeds the allowable upper limit. If it does, the grid length is adjusted or the number of machines is increased. Finally, the theoretical grid is fine-tuned according to the actual shape of the construction area, and a unique code is assigned to each grid, forming construction grid unit data consistent with the subsequent trajectory tracking and pass counting coordinate system.

[0070] Furthermore, based on the functional differences of airport runways, compaction and surface texture requirements are obtained. Airport runways include main runways, parallel taxiways, and connecting taxiways, each with different requirements for compaction and smoothness. Based on these compaction and surface texture requirements, key reinforcement areas are identified. For the compaction and smoothness requirements of these key reinforcement areas, corresponding mesh refinement is matched, and the construction mesh units are optimized according to the matched mesh refinement.

[0071] Please see Figure 2 In this embodiment, the airport earthwork compaction construction area is divided into multiple construction units based on the construction area, project requirements, and the operating efficiency of construction machinery.

[0072] Step S2: Collaborative operation monitoring and real-time data exchange. Based on the construction grid unit data, collect real-time construction data, and perform time synchronization and data exchange to obtain real-time construction process data.

[0073] In this embodiment, by installing sensors and high-precision monitoring equipment on construction machinery, real-time collection of machinery information, simultaneous issuance of construction tasks to multiple machines, synchronization of work time, and real-time data exchange and transmission are achieved.

[0074] Step S201, Roller compaction monitoring and data acquisition: Based on the construction grid unit data, the location coordinates, compaction degree, moisture content, temperature and vibration frequency are collected by the sensors and monitoring equipment deployed on the roller to obtain real-time construction parameters.

[0075] In this embodiment, sensors and high-precision GNSS monitoring equipment are deployed on the road roller to collect key parameters such as the road roller's position coordinates, compaction degree, moisture content, temperature, and vibration frequency in real time during the compaction process, and transmit the data to the monitoring center through 5G communication technology.

[0076] Step S202: Based on real-time construction parameters, the corresponding construction task data is sent to the vehicle-mounted terminal of each construction unit to obtain the construction task allocation result.

[0077] In this embodiment, multiple machines simultaneously issue construction tasks. For mechanical equipment registered on the platform, including vibratory rollers, impact rollers, and pavers, the construction tasks are simultaneously issued to the construction work unit and the vehicle-mounted tablet terminal.

[0078] Step S203: Synchronize operation time. Based on the construction task allocation results, perform time synchronization calculations for the road roller and paver to obtain synchronized operation time data.

[0079] In this embodiment, wireless communication technology is used to synchronize the working times of the road roller and the paver, ensuring that both can complete their respective unit tasks within a predetermined time. A real-time communication link is established between the road roller and the paver using wireless communication technologies (such as 4G / 5G communication, wireless local area networks, etc.). A precise time synchronization protocol ensures accurate synchronization of the working times of each piece of machinery, guaranteeing that the road roller and the paver can collaboratively complete their respective unit tasks within the predetermined time, avoiding work time conflicts or delays.

[0080] Step S204: Based on the synchronous operation time data, establish communication between devices and perform data exchange using the WiFi Direct Connection protocol to obtain real-time construction process data.

[0081] In this embodiment, real-time data exchange and transmission are performed using Wi-Fi Direct. Wi-Fi Direct is a point-to-point connection method that allows devices to establish direct point-to-point connections without a router, ensuring the security, stability, and real-time nature of data transmission. The tablet terminal can easily find and connect to other mechanical devices through the "More Connection Options" or "WLAN" option in the built-in "Settings" menu, enabling real-time data exchange and sharing.

[0082] Step S3: Data analysis and processing. Based on real-time construction process data, the intelligent algorithm for the number of compaction passes is run to calculate the number of compaction passes and compaction degree of each grid unit, and the compaction quality assessment results and dynamic adjustment instructions are obtained.

[0083] In this embodiment, an intelligent algorithm for the number of compaction passes is used to analyze and process the data collected by the compaction construction monitoring equipment. Specifically, this includes:

[0084] Step S301: Automatically calculate the number of compaction passes. Based on real-time construction process data, combined with the grid unit size and design compaction requirements, calculate the required and completed number of compaction passes for each unit to obtain compaction pass distribution data.

[0085] In this embodiment, sensors installed on the roller record the number of compaction passes and the compaction path in real time. Combined with the size of the grid cells and the compaction degree required by the design, the number of compaction passes required for each cell and the number of compaction passes already completed are automatically calculated.

[0086] The specific steps of the intelligent algorithm for the number of passes of rolling include:

[0087] 1. Construction area gridding: The construction area of ​​the airport earthwork project is gridded according to the preset size, the grid boundary coordinates are recorded and a unique code is assigned to obtain the construction grid data.

[0088] 2. Forming a trajectory surface: Based on the construction grid data, the trajectory of the road roller is linearized and combined with the planarization of the road roller wheel track to form a trajectory surface.

[0089] 3. Segment the trajectory surface: Divide the trajectory surface formed in step 2 into segments according to grid areas or the turning points of the road roller.

[0090] 4. Formation of block-shaped areas, please refer to [link / reference]. Figure 3 The trajectory surfaces intersect in pairs, forming non-overlapping block-shaped regions.

[0091] 5. Region numbering: Number the independent and non-overlapping regions to form new overlapping regions and record the region boundary coordinates. At the same time, increment the number of compaction passes by 1.

[0092] 6. Repeat steps 4 and 5 to obtain the non-overlapping regions and the number of repetitions.

[0093] 7. Number of passes distribution: Fit the intersection of the regions from the above steps with the grid to obtain the number of passes distribution of the grid.

[0094] 8. Trajectory visualization: Color the compacted area according to the number of compaction passes to obtain a distribution map of the number of compaction passes in different colors.

[0095] Step S302: Multi-machine trajectory data collaboratively draws the compaction path. Based on the compaction pass distribution data, the trajectory data of multiple machines are combined in pairs to obtain trajectory surface data with different compaction passes.

[0096] In this embodiment, a multi-machine trajectory data collaborative processing algorithm is used to draw the compaction path based on the received data from various mechanical devices. First, the trajectory data of each device is cleared and filtered to remove noise and outliers. Then, the processed mechanical data is combined pairwise to form trajectory surfaces with different compaction passes. Through analysis and calculation of the trajectory surfaces, the compaction quality of group machine operations is monitored. Please refer to [link to relevant documentation]. Figure 4 .

[0097] Step S303: Dynamically adjust the number of compaction passes. Based on the trajectory surface data and the real-time detected compaction data, calculate the difference between the compaction degree of each grid cell and the design requirements, and obtain the dynamic adjustment command.

[0098] In this embodiment, based on the real-time detected compaction data, the system dynamically prompts the operator of the number of compaction passes for the corresponding area, ensuring that the soil in each grid unit meets the predetermined compaction standard. If the compaction degree of a certain grid unit does not meet the requirements, the system automatically prompts the number of compaction passes for that unit, guiding the operator to continue construction until the design standard is met.

[0099] Furthermore, the system collects data on material moisture content, roller compaction speed, and equipment load in real time, and performs correlation analysis with the current area compaction degree detection value. If the detected moisture content is lower than the design threshold, the system prioritizes triggering a water truck dispatch command to replenish the water, rather than increasing the number of compaction passes. If insufficient compaction energy per pass is caused by excessively fast compaction speed, the system adjusts the command to reduce the vehicle speed while maintaining the current number of passes. If the equipment load is too high, the system prompts the operator to pause the operation and check the equipment status, while optimizing the subsequent compaction sequence to balance the load. By integrating the weights of various factors through a machine learning model, the system outputs dynamic adjustment strategies such as "water replenishment + speed reduction," "load adjustment + maintaining the number of passes," or "increasing the number of passes + optimizing the trajectory," ensuring a balance between improved compaction effect and construction efficiency.

[0100] Step S304: Evaluate compaction quality and generate a construction report. Based on the dynamic adjustment instructions and compaction pass distribution data, plot the compaction trajectory and compaction path surface to obtain the compaction quality evaluation results.

[0101] In this embodiment, based on the number of compaction passes calculated in step S301 and combined with the compaction requirements of the airport earthwork project compaction construction design, a graphic drawing algorithm is used to draw the compaction trajectory and compaction path surface, and different colors are used to represent compaction surfaces with different numbers of passes. Graphic reports such as the total number of compaction passes, compaction trajectory, and weak area of ​​compaction are generated to vividly display the completion status and compaction quality of each construction unit's compaction construction.

[0102] Step S4: Monitoring the progress and quality of the airport earthwork compaction construction. Based on the compaction quality assessment results and dynamic adjustment instructions, perform real-time quality monitoring and acceptance calculations to obtain a construction quality control report.

[0103] In this embodiment, based on the data analysis results of step S3, the compaction construction plan is optimized and adjusted. The grid cell data before and after construction are compared to control and accept the construction quality, ensuring that the quality of the airport earthwork project meets safety standards. Specifically, this includes:

[0104] Step S401: The user interface displays and updates the number of compaction passes and compaction degree data of each grid cell in real time based on the compaction quality assessment results, thereby obtaining construction progress monitoring data.

[0105] In this implementation example, the multi-machine compaction construction monitoring system includes a user-friendly compaction construction monitoring platform interface and a machine vehicle-mounted terminal interface, used to display the number of compaction passes, compaction degree, and other key parameters for each grid unit. The user interface can update data in real time and provides historical record query functionality, facilitating monitoring of construction progress and quality by construction personnel and managers.

[0106] Step S402, alarm and prompt mechanism, based on construction progress monitoring data, automatically detects whether the compaction parameters of each grid unit meet the design requirements and obtains the quality inspection results.

[0107] In this embodiment, when the system detects that the number of rolling passes or the degree of compaction of a certain grid cell does not meet the requirements, it will automatically trigger an alarm mechanism and display alarm information through the user interface to prompt the construction personnel to take corresponding measures.

[0108] Step S403: Construction plan optimization. Based on the quality inspection results and dynamic adjustment instructions, the optimized construction parameters are calculated to obtain the construction plan adjustment data.

[0109] In this embodiment, the compaction construction plan is optimized and adjusted based on the data analysis results to ensure that each grid unit meets the design requirements.

[0110] Step S404, Quality Control and Acceptance: Based on the adjusted data of the construction plan, compare the changes in grid unit parameters before and after construction to obtain a construction quality control report.

[0111] In this embodiment, the construction quality is controlled and accepted by comparing the grid cell data before and after construction, ensuring that the quality of the airport earthwork project meets safety standards.

[0112] Secondly, this application provides a monitoring system for compaction construction of multiple machines operating together. The following description of the monitoring system for compaction construction of multiple machines operating together is based on the above-mentioned monitoring method for compaction construction of multiple machines operating together.

[0113] Reference Figure 5 A monitoring system for compaction construction using multiple machines, comprising:

[0114] The construction unit division module is used to calculate the construction unit division scheme based on the preset operating efficiency parameters of road rollers and pavers, and obtain construction grid unit data;

[0115] The data acquisition module is used to collect real-time construction data based on the construction grid unit data, and to perform time synchronization and data exchange to obtain real-time construction process data;

[0116] The intelligent algorithm module is used to calculate the number of compaction passes and compaction degree of each grid unit based on real-time construction process data, and obtain compaction quality assessment results and dynamic adjustment instructions.

[0117] The quality monitoring module is used to perform real-time quality monitoring and acceptance calculations based on the compaction quality assessment results and dynamic adjustment instructions, and to obtain a construction quality control report.

[0118] In one embodiment, the data acquisition module includes:

[0119] The parameter acquisition unit is used to collect location coordinates, compaction degree, moisture content, temperature and vibration frequency based on the construction grid unit data and through sensors and monitoring equipment deployed on the road roller to obtain real-time construction parameters;

[0120] The task allocation unit is used to send the corresponding construction task data to the vehicle-mounted terminal of each construction unit based on real-time construction parameters, and obtain the construction task allocation results.

[0121] The time synchronization unit is used to perform time synchronization calculations for the road roller and paver based on the construction task allocation results, and obtain synchronized operation time data;

[0122] The data exchange unit is used to establish communication between devices and perform data exchange based on synchronous operation time data using the WiFi direct connection protocol, thereby obtaining real-time construction process data.

[0123] In one embodiment, the intelligent algorithm module includes:

[0124] The compaction pass calculation unit is used to calculate the required and completed compaction passes for each unit based on real-time construction process data, combined with grid unit size and design compaction requirements, to obtain compaction pass distribution data.

[0125] The trajectory processing unit is used to perform pairwise cross-processing on multiple mechanical trajectory data based on the compaction pass distribution data to obtain trajectory surface data with different compaction passes.

[0126] The adjustment calculation unit is used to calculate the difference between the compaction degree of each grid cell and the design requirements based on the trajectory surface data and the real-time detected compaction degree data, and obtain dynamic adjustment instructions;

[0127] The evaluation generation unit is used to draw the compaction trajectory and compaction path surface based on the dynamic adjustment instructions and compaction pass distribution data, and obtain the compaction quality evaluation results.

[0128] In one embodiment, the quality monitoring module includes:

[0129] The real-time monitoring unit is used to display and update the number of compaction passes and compaction degree data of each grid cell in real time on the user interface based on the compaction quality assessment results, so as to obtain construction progress monitoring data.

[0130] The parameter detection unit is used to automatically detect whether the compaction parameters of each grid cell meet the design requirements based on construction progress monitoring data, and obtain quality inspection results.

[0131] The scheme adjustment unit is used to calculate the optimized construction parameters based on the quality inspection results and dynamic adjustment instructions, and obtain the construction scheme adjustment data.

[0132] The report generation unit is used to adjust data based on the construction plan, compare the changes in grid cell parameters before and after construction, and generate a construction quality control report.

[0133] In one embodiment, the pass count calculation unit includes:

[0134] The construction grid acquisition sub-unit is used to grid the construction area according to a preset size, record the grid boundary coordinates and assign a unique code to obtain the construction grid data.

[0135] The trajectory surface acquisition sub-unit is used to linearize the roller trajectory based on construction grid data and combine it with wheel track parameters to obtain trajectory surface data;

[0136] The segmented trajectory surface acquisition sub-unit is used to perform segmented processing at the grid area boundary and the roller turning point based on the trajectory surface data, and obtain segmented trajectory surface data.

[0137] The block region acquisition sub-unit is used to perform pairwise intersection operations on the trajectory surface based on the segmented trajectory surface data to obtain non-overlapping block region data.

[0138] The sub-unit for obtaining the number of compaction passes is used to number the independent regions in the block region data, record the boundary coordinates of overlapping regions, and accumulate the number of compaction passes to obtain the number of compaction passes data.

[0139] The pass count calculation sub-unit is used to perform intersection fitting calculations between the region and the grid based on the region pass count data to obtain the compaction pass count distribution data.

[0140] In one embodiment, this application provides an electronic device, which may be a server, and its internal structure diagram may be as follows: Figure 6 As shown, the electronic device includes a processor, memory, and network interface connected via a system bus. The processor provides computing and control capabilities. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The database stores data. The network interface communicates with external terminals via a network connection. When the computer program is executed by the processor, it implements a method for monitoring compaction construction using multiple machines.

[0141] Those skilled in the art will understand that Figure 6 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the electronic device to which the present application is applied. The specific electronic device may include more or fewer components than shown in the figure, or combine certain components, or have different component arrangements.

[0142] In one embodiment, an electronic device is also provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above-described method embodiments.

[0143] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, or optical storage, etc. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0144] The above are all preferred embodiments of this application, and are not intended to limit the scope of protection of this application. Therefore, all equivalent changes made in accordance with the structure, shape and principle of this application should be covered within the scope of protection of this application.

Claims

1. A method for monitoring the rolling construction of a group machine operation, characterized by, Comprising the following steps: According to the preset road roller and paver operation efficiency parameter, the construction unit division scheme is calculated, and construction grid unit data is obtained; According to the construction grid unit data, real-time construction data is collected, time synchronization and data exchange are performed, and real-time construction process data is obtained; According to the real-time construction process data, the intelligent algorithm of rolling number is run to calculate the rolling number and compaction degree of each grid unit, and the rolling quality evaluation result and dynamic adjustment instruction are obtained; According to the rolling quality evaluation result and the dynamic adjustment instruction, real-time quality monitoring and acceptance calculation are performed, and a construction quality control report is obtained; According to the real-time construction process data, the intelligent algorithm of rolling number is run to calculate the rolling number and compaction degree of each grid unit, and the rolling quality evaluation result and dynamic adjustment instruction are obtained, specifically comprising the following steps: According to the real-time construction process data, the required and completed rolling number of each unit is calculated combined with the size of the square grid unit and the design compaction degree requirement, and rolling number distribution data is obtained; Based on the rolling number distribution data, the two-by-two intersection processing is performed on the multiple mechanical trajectory data, and the trajectory surface data of different rolling numbers is obtained; According to the trajectory surface data and the real-time detected compaction degree data, the difference between the compaction degree of each square unit and the design requirement is calculated, and the dynamic adjustment instruction is obtained; Based on the dynamic adjustment instruction and the rolling number distribution data, the rolling trajectory and compaction path surface are drawn, and the rolling quality evaluation result is obtained; According to the real-time construction process data, the required and completed rolling number of each unit is calculated combined with the size of the square grid unit and the design compaction degree requirement, and rolling number distribution data is obtained, specifically comprising the following steps: The construction area is grid processed according to the preset size, the grid boundary coordinates are recorded and a unique code is assigned, and construction grid data is obtained; Based on the construction grid data, the road roller trajectory is linearly processed combined with the wheel spacing parameter, and trajectory surface data is obtained; According to the trajectory surface data, the segmented trajectory surface data is obtained by segmenting at the grid area boundary and the road roller turning point; Based on the segmented trajectory surface data, the two-by-two intersection operation of the trajectory surface is performed, and the non-overlapping block region data is obtained; The regions in the block region data that are independent of each other are numbered, the overlapping region boundary coordinates are recorded, and the rolling number is accumulated, and region number data is obtained; According to the region number data, the intersection fitting calculation of the region and the square grid is performed, and the rolling number distribution data is obtained.

2. The group machine working and rolling construction monitoring method according to claim 1, characterized in that, According to the construction grid unit data, the construction process data is collected, time synchronization and data exchange are performed, and real-time construction process data is obtained, specifically comprising the following steps: According to the construction grid unit data, the position coordinates, compaction degree, moisture content, temperature and vibration frequency are collected by the sensors and monitoring devices deployed on the road roller, and real-time construction parameters are obtained; Based on the real-time construction parameters, the corresponding construction task data is sent to the vehicle-mounted terminal of each construction unit, and the construction task allocation result is obtained; According to the construction task allocation result, the time synchronization calculation of the road roller and the paver is performed, and the synchronous operation time data is obtained; Based on the synchronous operation time data, a WiFi direct protocol is adopted to establish inter-device communication and perform data exchange, and real-time construction process data is obtained.

3. The group machine working and rolling construction monitoring method according to claim 1, characterized by, According to the rolling quality evaluation result and the dynamic adjustment instruction, real-time quality monitoring and acceptance calculation are performed, and a construction quality control report is obtained, specifically including the following steps: According to the rolling quality evaluation result, the rolling pass number and the compaction degree data of each grid unit are displayed and updated in real time on the user interface, and construction progress monitoring data is obtained. Based on the construction progress monitoring data, it is automatically detected whether the rolling parameters of each grid unit meet the design requirements, and a quality detection result is obtained. According to the quality detection result and the dynamic adjustment instruction, the optimized construction parameters are calculated, and construction scheme adjustment data is obtained. Based on the construction scheme adjustment data, the parameter changes of the grid unit before and after construction are compared, and the construction quality control report is obtained.

4. A group machine operation rolling construction monitoring system, characterized by, It comprises: A construction unit division module is used to calculate a construction unit division scheme according to preset road roller and paver operation efficiency parameters, and construction grid unit data is obtained. A data acquisition module is used to acquire real-time construction data according to the construction grid unit data, and time synchronization and data exchange are performed to obtain real-time construction process data. An intelligent algorithm module is used to calculate the rolling pass number and compaction degree of each grid unit by running a rolling pass number intelligent algorithm based on the real-time construction process data, and rolling quality evaluation results and dynamic adjustment instructions are obtained. A quality monitoring module is used to perform real-time quality monitoring and acceptance calculation based on the rolling quality evaluation result and the dynamic adjustment instruction, and a construction quality control report is obtained. The intelligent algorithm module comprises: A pass number calculation unit is used to calculate the required and completed rolling passes of each unit based on real-time construction process data, combined with the size of the grid unit and the design compaction degree requirement, and rolling pass number distribution data is obtained. A trajectory processing unit is used to process multiple mechanical trajectory data based on the rolling pass number distribution data, and trajectory surface data of different rolling passes is obtained. An adjustment calculation unit is used to calculate the difference between the compaction degree of each grid unit and the design requirement based on the trajectory surface data and the real-time detected compaction degree data, and dynamic adjustment instructions are obtained. An evaluation generation unit is used to draw rolling trajectory and compaction path surface based on the dynamic adjustment instruction and the rolling pass number distribution data, and rolling quality evaluation results are obtained.

5. The group machine working and rolling construction monitoring system according to claim 4, characterized in that, The data acquisition module comprises: A parameter acquisition unit is used to acquire position coordinates, compaction degree, moisture content, temperature and vibration frequency through sensors and monitoring devices deployed on the road roller based on the construction grid unit data, and real-time construction parameters are obtained. A task allocation unit is used to allocate corresponding construction task data to the vehicle-mounted terminal of each construction unit based on the real-time construction parameters, and construction task allocation results are obtained. A time synchronization unit is used to perform time synchronization calculation of the road roller and the paver based on the construction task allocation results, and synchronous operation time data is obtained. A data exchange unit is configured to establish inter-device communication and perform data exchange based on the synchronized operation time data using a WiFi direct protocol to obtain real-time construction process data.

6. An electronic device, comprising: The computer program is stored in the memory and executable in the processor, and the processor executes the computer program to realize the steps of the group machine operation roller compaction construction monitoring method in any one of claims 1-3.

7. A computer readable storage medium having stored thereon a computer program, characterized in that, The computer program is stored in the memory and executable in the processor, and the processor executes the computer program to realize the steps of the group machine operation roller compaction construction monitoring method in any one of claims 1-3.

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