Cast-in-situ bored pile filling monitoring method based on three-dimensional laser scanning and flow velocity control

Abstract

The invention relates to the technical field of geotechnical engineering construction monitoring, and discloses a cast-in-situ bored pile grouting monitoring method based on three-dimensional laser scanning and flow velocity control, comprising the following steps: S1, mounting a three-dimensional laser scanner and a flow velocity sensor on a cast-in-situ bored pile construction site; s2, performing reference height scanning on the three-dimensional laser scanner to obtain datum plane data of the pile hole; s3, the target injection amount is set to a control system; s4, collecting section data of the pile hole in real time through the three-dimensional laser scanner; s5, measuring flow velocity data of the concrete in real time through a flow velocity sensor; and S6, the accumulated volume of the poured concrete is calculated in real time according to the obtained pile hole section data and flow velocity data. By integrating a real-time monitoring technology and a self-adaptive exception handling mechanism, the data acquisition accuracy and the construction quality control capability in the construction process of the cast-in-situ bored pile are improved, meanwhile, a systematic data management and dynamic optimization mechanism is provided, and long-acting and stable operation of the monitoring system is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of geotechnical engineering construction monitoring, and in particular to a bored cast-in-place pile injection monitoring method based on three-dimensional laser scanning and flow rate control. Background Art

[0002] In modern construction, bored piles are a common and important foundation construction technology, widely used in various civil engineering projects. However, traditional bored pile monitoring technology has some significant drawbacks, such as low data acquisition accuracy, poor real-time performance, and insufficient exception handling capabilities.

[0003] Specifically, current monitoring systems often fail to simultaneously capture data on concrete flow velocity and pile hole profile changes, leading to inaccurate assessments of concrete pouring conditions during construction. This information lag not only makes it difficult for construction personnel to promptly assess on-site conditions but can also impact construction quality due to inaccurate data. Furthermore, when unexpected anomalies occur, existing solutions lack flexible response mechanisms, preventing swift and effective adjustments, further increasing uncertainty during construction. Summary of the Invention

[0004] In response to the shortcomings of the existing technology, the present invention provides a bored pile injection monitoring method based on three-dimensional laser scanning and flow rate control, which solves the problems of inaccurate data collection, poor real-time performance and insufficient construction quality control in the injection process monitoring of the existing technology.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: A bored pile injection monitoring method based on three-dimensional laser scanning and flow rate control comprises the following steps:

[0006] S1. Install a 3D laser scanner and flow velocity sensor at the bored pile construction site;

[0007] S2, scanning the base height of the three-dimensional laser scanner to obtain pile hole base surface data;

[0008] S3, setting the target injection volume to the control system;

[0009] S4, collecting pile hole profile data in real time by the three-dimensional laser scanner;

[0010] S5, measuring the flow velocity data of concrete in real time through a flow velocity sensor;

[0011] S6. Calculate the cumulative volume of poured concrete in real time based on the acquired pile hole profile data and flow velocity data;

[0012] S7. During the monitoring process, if abnormal flow rate or sensor failure is found, an alarm and fault tolerance processing will be automatically triggered.

[0013] Preferably, in S1, the three-dimensional laser scanner is installed at a height of 1.2 to 1.8 meters from the bottom surface of the pile hole to ensure that the entire pile hole is covered.

[0014] Preferably, in said S2, the empty chute is scanned in height by the least square method, and the obtained reference surface data is used for subsequent calculation of the cross-sectional area.

[0015] Preferably, in S5, the flow rate data is processed according to the rotation speed signal of the flow rate sensor, and the corresponding relationship between the flow rate and the rotation speed is used for compensation and correction.

[0016] Preferably, in S7, when an abnormal flow rate is found, the system can switch to a backup mode and continue volume calculation to avoid monitoring interruption.

[0017] Preferably, in said S4, the cross-sectional data collected in real time is used to update and correct the parameters for calculating the injection volume.

[0018] Preferably, the alarm includes an audible and visual alarm and a system display prompt so as to promptly notify the operator.

[0019] Preferably, the monitoring system has a data recording function for saving historical monitoring data and related parameters for post-construction evaluation.

[0020] Preferably, the flow velocity sensor is in the form of an impeller and is provided with a self-cleaning device to improve measurement accuracy and stability.

[0021] The present invention provides a bored pile injection monitoring method based on three-dimensional laser scanning and flow rate control. It has the following beneficial effects:

[0022] 1. This invention integrates 3D laser scanning and flow rate control technology to create a highly efficient bored pile injection monitoring system. This system monitors the concrete flow state and changes in the pile hole profile in real time, ensuring precise control during the injection process. This combination of technologies not only improves data acquisition accuracy but also provides a reliable basis for quality control during construction.

[0023] 2. This invention incorporates adaptive exception handling and fault tolerance mechanisms into the monitoring process, effectively addressing the uncertainties brought about by changes in the on-site environment and equipment failures. This feature ensures system stability and ensures reliable monitoring data even under adverse conditions. This dynamic adjustment capability enables construction personnel to quickly make appropriate adjustments in the face of emergencies, thereby reducing construction risks.

[0024] 3. Through structured data management, this invention enables operators to quickly retrieve and analyze various monitoring data generated during the construction process. The resulting standardized reports not only improve the efficiency of information transfer but also provide detailed records for subsequent construction assessments and audits. This functionality promotes transparency and traceability of the construction process, providing a more solid foundation for construction quality assessment.

[0025] 4. This invention promotes the dynamic updating and improvement of monitoring technology through a continuous system evaluation and optimization mechanism. This process includes not only an assessment of equipment performance but also a comprehensive analysis of operational processes and data processing strategies. This systematic self-feedback mechanism ensures the long-term effectiveness of the technology, allowing the monitoring system to be continuously adjusted and optimized according to the actual needs of the project, thereby maximizing construction quality and efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 This is a collaborative monitoring flow chart of the present invention. DETAILED DESCRIPTION

[0027] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the present specification. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0028] Please see the attached Figure 1 The embodiment of the present invention provides a bored pile injection monitoring method based on three-dimensional laser scanning and flow rate control, comprising the following steps:

[0029] S1. Install a 3D laser scanner and flow velocity sensor at the bored pile construction site;

[0030] In this embodiment, for step S1 of the bored pile injection monitoring method based on 3D laser scanning and flow rate control, the system preparation and equipment installation process are described in detail to ensure the normal operation of the entire monitoring system and the accuracy of data collection.

[0031] First, based on the project requirements, appropriate 3D laser scanners and flow rate sensors were selected. These devices needed to possess high-precision, high-frequency data acquisition capabilities to accommodate the complex environment of the construction site. Specifically, a 3D laser scanner measures the distance to a target by emitting laser pulses and calculates the spatial coordinates of the object based on the return signal. This process rapidly acquires 3D information about the pile borehole, providing the foundation for subsequent cross-sectional area calculations.

[0032] Flow velocity sensors typically use an impeller design, suitable for measuring flow velocity in flowing concrete environments. The impeller's rotational speed is directly proportional to the flow velocity, providing a reliable basis for real-time monitoring. They should be installed in a suitable position to ensure they can directly measure the flow of the concrete. Specifically, the impeller axis of the flow velocity sensor should be parallel to the concrete flow direction to avoid measurement errors caused by improper installation angles.

[0033] During equipment installation, attention should be paid to the stability of the bracket to ensure stable operation of the 3D laser scanner. The bracket should be positioned between 1.2 and 1.8 meters from the bottom of the pile hole to fully cover the width of the pile hole and ensure accurate cross-sectional data is obtained at all stages of the pouring process. Furthermore, operator convenience should be considered during bracket installation to facilitate subsequent adjustments and maintenance.

[0034] Once the bracket is installed, the 3D laser scanner can be secured to the bracket. At this point, the laser scanner's lens should be kept clean and dust-free to avoid affecting measurement accuracy. To further enhance data reliability, the laser scanner should be equipped with anti-vibration and anti-interference measures, such as piezoelectric ceramic-driven anti-shake lenses and anti-interference optical filters, to reduce the impact of external vibrations and light fluctuations on measurement results.

[0035] After the laser scanner is installed, the flow rate sensor should also be incorporated into the system. It should be installed at a distance from the concrete inlet and outlet to minimize interference from splashing. Furthermore, a protective cover should be provided for the flow rate sensor to prevent cement slurry infiltration and other external factors that could cause equipment failure.

[0036] For electrical connections, connect all sensors to an industrial-grade PLC controller to ensure the reliability and security of data transmission lines. Use high-quality shielded cables to reduce the impact of electromagnetic interference. Also, perform a pre-power-on self-test to ensure that all components are functioning properly and avoid monitoring interruptions due to equipment failure.

[0037] Finally, to ensure the proper functioning of the equipment, construction personnel must receive training to ensure they are proficient in operating the monitoring system and can perform timely troubleshooting and maintenance. Once the entire system is installed, the construction site will have excellent monitoring conditions, providing accurate, real-time data support for the subsequent pouring process, enabling scientific and rational construction management.

[0038] S2, scanning the base height of the three-dimensional laser scanner to obtain pile hole base surface data;

[0039] In this embodiment, for step S2 of the bored pile injection monitoring method based on three-dimensional laser scanning and flow rate control, the system initialization process and the calibration method of various parameters are described in detail to ensure that the monitoring system can operate accurately and output reliable data.

[0040] First, after equipment installation is complete, the system should be powered on and started up. Using an industrial-grade PLC controller, a self-test of all connected sensors should be performed. This test should include sensor response time, data acquisition frequency, and power supply status. Only after ensuring that all devices are properly connected to the system can the subsequent initialization steps be performed.

[0041] Next, the 3D laser scanner scans the base height. This step primarily aims to obtain the base height of the pile hole, which serves as a reference for subsequent cross-sectional area calculations. The laser scanner emits laser pulses around the area and receives the reflected signals. Based on the time difference between the laser emission time and the return signal, the distance to each measurement point is calculated, generating a 3D point cloud of the area.

[0042] In order to extract useful reference surface information, the least squares method is used to fit the data from the acquired point cloud data to obtain a smooth reference surface model H0(x). After obtaining the reference surface, the formula is used:

[0043] Among them, z i is the height value mapped to each point cloud, and n is the total number of point clouds. This process ensures the accuracy of the benchmark height, providing a reliable basis for subsequent profile analysis.

[0044] After acquiring the reference height data, the flow velocity sensor is calibrated to determine the accuracy of the flow velocity measurement. To achieve this, concrete with a known slump is poured, and its rotational speed ω is recorded by the flow velocity sensor. Simultaneously, concrete with a standard flow rate is flowed, and the actual flow velocity v is recorded.

[0045] This data is then used to establish a relationship model between flow rate and speed. The data points to be recorded are plotted in a two-dimensional coordinate system to form a flow rate vs. speed relationship graph. By performing regression analysis on the data in this graph, the dynamic relationship equation between flow rate and speed is obtained:

[0046] v=k1·ω+k2·ω 2 ;

[0047] Where k1 and k2 are fitting coefficients obtained from experimental data. This equation will be used for subsequent real-time flow velocity calculations to ensure the reliability and consistency of flow velocity data.

[0048] After the system calibration is completed, the calibration data should be entered into the control system. In particular, the calibration coefficients of the reference height and flow rate will serve as basic parameters during the system monitoring process, helping the data processing module to make real-time adjustments.

[0049] Finally, to ensure system stability and reliability, a complete test run is performed after initialization and calibration. During this test run, actual perfusion conditions are simulated to verify the system's ability to accurately record profile changes and flow rate data within the specified parameters. At the same time, the equipment's operating status should be carefully observed, and any abnormalities detected should be promptly adjusted or repaired.

[0050] By implementing the above steps, the monitoring system of the present invention completes a complete system initialization and calibration process based on height, flow rate, and other relevant parameters, providing support and assurance for subsequent pouring monitoring. This process ensures the accuracy of monitoring data, enables real-time observation of concrete pouring status, and provides a reliable basis for construction quality control.

[0051] S3, setting the target injection volume to the control system;

[0052] This embodiment describes in detail the process of setting the target injection volume within the monitoring system, focusing on step S3 of the bored pile injection monitoring method based on 3D laser scanning and flow rate control. This step is crucial for the operation of the entire monitoring system and lays the foundation for subsequent real-time data collection and analysis.

[0053] Before setting the target parameters, it is necessary to first determine the design concrete injection volume V according to the pile hole design drawings and engineering requirements. design The target quantity should fully consider the specific dimensions of the pile hole, structural requirements, and construction specifications. The rationality of the target quantity should be ensured by reviewing the relevant design data before construction.

[0054] During the construction preparation phase, construction personnel input the target injection volume into the control system. This process can be performed through the user interface connected to the PLC controller and includes the following steps:

[0055] The user interface provides a clear input interface, allowing operators to intuitively enter the design injection volume. During the input process, the system will display relevant warning boxes, such as "The input injection volume should meet the design requirements", to avoid monitoring deviations caused by input errors.

[0056] After receiving the target injection volume, the system performs data verification. To ensure the validity of the input value, the system compares it with the actual design data previously collected. If there is a significant discrepancy between the input value and the design requirement, the system automatically generates an alarm and freezes operation, prompting the operator to verify the value.

[0057] Once the target injection volume is confirmed, the control system saves this data and uses it as a baseline for subsequent real-time monitoring and data analysis. During the real-time monitoring phase, the system automatically calculates the current volume of concrete injected for each data entry and compares it with the target injection volume. This process provides timely information on construction progress and provides essential decision-making support for operators.

[0058] To achieve the above functions, a corresponding algorithm is designed within the control system to continuously track changes in the injected volume. The basic logic of the algorithm is as follows:

[0059] V current =V current +ΔV;

[0060] Among them, V current is the volume of concrete currently poured, and ΔV is the change in poured volume calculated from the flow velocity and profile data for each measurement.

[0061] By continuously accumulating data, the system can current and target quantity V design The system compares the results and calculates the current cumulative deviation in real time, triggering an alarm when the target is achieved or the deviation exceeds the set range. This provides a basis for dynamic adjustments during the perfusion process.

[0062] The system also analyzes historical data for trends to identify whether construction progress is meeting expectations. This monitoring and evaluation mechanism provides data support for optimizing the overall construction process, making it more transparent and controllable.

[0063] In summary, setting the target parameters in step S3 is an essential and crucial step in the entire bored pile placement monitoring method. Through scientific parameter setting and data verification, we ensure that the discrepancy between the target and actual concrete placement can be monitored in real time during the actual concrete placement process, laying a solid foundation for subsequent monitoring and management.

[0064] S4, collecting pile hole profile data in real time by the three-dimensional laser scanner;

[0065] This embodiment describes in detail the process of collecting real-time data during concrete pouring, focusing on step S4 of a bored pile pouring monitoring method based on 3D laser scanning and flow rate control. This step is the core component of the monitoring system and is directly related to the assessment of pouring quality and the proper management of construction progress.

[0066] Once concrete pouring begins, the system continuously collects data using a pre-installed 3D laser scanner and flow rate sensor. The 3D laser scanner first acquires cross-sectional data within the pile borehole. It operates by emitting laser pulses and receiving reflected signals, thereby measuring the distance from the emitter to the target surface. Through rapid, continuous scanning, the device generates comprehensive 3D point cloud data.

[0067] The acquired point cloud data will be used to calculate the actual cross-sectional area of ​​the pile hole according to the following formula:

[0068]

[0069] Where A(t) represents the cross-sectional area at time t, H(x i ,t) is the height of the i-th measuring point at the current moment, H0(x i ) is the reference height, and Δx is the distance between each measuring point. Through this calculation method, the system can quickly and accurately obtain real-time pile hole profile information at each point in time.

[0070] At the same time, the flow rate sensor will monitor the flow rate of the concrete in real time. The working mechanism of the flow rate sensor is based on the relationship between the rotating impeller and the speed of the fluid. The flow of the fluid causes the impeller to rotate, and the sensor can convert the impeller's speed into an electrical signal, thereby obtaining the flow rate value. The flow rate calculation formula is:

[0071] v(t)=k1·ω(t)+k2·ω(t) 2 ;

[0072] Where v(t) represents the flow velocity at time t, ω(t) is the speed of the flow sensor, and k1 and k2 are calibration coefficients. During this calculation process, the system provides real-time feedback on flow velocity data, ensuring that the concrete pouring state remains within a controllable range.

[0073] During the real-time data acquisition process, the system periodically stores and processes the acquired cross-sectional area A(t) and flow velocity v(t) data. Through continuous time integration calculation, the system can timely calculate the cumulative poured concrete volume V using the following formula:

[0074]

[0075] In this formula, V represents the total poured volume, time t0 is the start time, and τ represents any instant in time. This integration process involves accurate calculation of the dynamic changes in cross-sectional area and flow rate, ensuring that the cumulative volume data of concrete is updated in real time.

[0076] To ensure the accuracy of real-time data collection, regular data calibration and verification are required during operation. The system can automatically perform regression analysis on collected data at set intervals to eliminate potential deviations due to environmental changes or equipment errors. This function is achieved through an adaptive algorithm that maintains system stability and reliability under changing external conditions.

[0077] Overall, step S4 enables comprehensive monitoring of the concrete pouring process. Through the collaborative work of 3D laser scanners and flow rate sensors, the system accurately captures profile changes and flow rate information, ensuring real-time and accurate data. This step provides a solid foundation for subsequent exception handling, data analysis, and quality control, significantly enhancing transparency and controllability throughout the entire project.

[0078] S5, measuring the flow velocity data of concrete in real time through a flow velocity sensor;

[0079] In this embodiment, with respect to step S5 of the bored pile injection monitoring method based on three-dimensional laser scanning and flow rate control, a detailed description is given of how to process the profile data and flow rate data acquired in real time in order to calculate the cumulative injection volume and ensure the accuracy and reliability of the monitoring.

[0080] During real-time data acquisition, the system continuously records the cross-sectional area A(t) of the pile bore and the instantaneous flow velocity v(t). This data forms the basis for subsequent calculations, so accurate acquisition is crucial. The system transmits this data at regular intervals to a central processing unit for continuous processing and analysis.

[0081] First, the basic formula for calculating the cumulative instilled volume was established as:

[0082]

[0083] Where V represents the cumulative volume poured from time t0 to the current time t, A(τ) is the cross-sectional area at time τ, and v(τ) is the corresponding flow velocity. By continuously integrating the real-time data of cross-sectional area and flow velocity, the system can dynamically display the total amount of concrete poured.

[0084] In actual implementation, the cumulative volume calculation usually uses the numerical integration method. If the data is processed in a discrete moment manner, the system will first establish the time step Δt, and then use the following recursive formula for accumulation:

[0085] V current =V current +A(t n )·v(t n )·Δt;

[0086] In this process, V current is the cumulative infusion volume at the current moment, A(t n ) and v(t n ) are respectively at the current time point t n Through this recursive calculation, the system implements the convolution method to quickly process time-varying data, ensuring instant feedback on the concrete pouring status.

[0087] During data processing, the equipment also requires calibration and error detection. Because complex construction site environments can affect sensor data accuracy, regular comparisons of real-time flow velocity and profile data with standard deviations are necessary. If deviations exceed set thresholds, the system automatically initiates adaptive corrections based on the statistical characteristics of historical data. This dynamic adjustment improves data processing accuracy and avoids the serious consequences of unexpected changes.

[0088] After the calculation is completed, the system should record the real-time data of the injected volume V and display it on the user interface, so that the operator can monitor it intuitively. At the same time, the system will continue to compare the current cumulative injected volume with the initially set target injection volume V. design The system compares the two and provides real-time feedback on any deviations. This feedback provides a proactive early warning mechanism for construction personnel, enabling them to adjust flow rates or injection strategies in a timely manner during the injection process to ensure construction quality and efficiency.

[0089] In summary, the data processing step in step S5 effectively integrates real-time data from the 3D laser scanner and flow rate sensor. Through scientific calculations and dynamic error correction, the accuracy of the cumulative injection volume is ensured. This process not only facilitates information flow and real-time monitoring but also provides a crucial foundation for subsequent quality control and data analysis.

[0090] S6. Calculate the cumulative volume of poured concrete in real time based on the acquired pile hole profile data and flow velocity data;

[0091] In this embodiment, for step S6 of the bored pile injection monitoring method based on three-dimensional laser scanning and flow rate control, how to implement exception handling and fault tolerance mechanisms during the monitoring process is described in detail to improve the reliability and safety of the system.

[0092] During real-time monitoring of concrete pouring, data anomalies or equipment failures may occur due to environmental changes, equipment failures, or operational errors. Therefore, designing an efficient exception handling and fault tolerance mechanism is crucial to ensuring overall construction quality and safety.

[0093] First, the system must be able to monitor the status of various sensors in real time, ensuring the stable operation of the flow sensor and 3D laser scanner during data collection. During this phase, the control system will employ advanced monitoring algorithms to continuously track the sensor data streams. If any sudden changes in output data or discrepancies with physical laws are detected, the system will immediately trigger an anomaly alarm and record the relevant data.

[0094] For example, if a flow rate sensor reading suddenly drops below a set threshold, the system identifies it as an anomaly. At this point, the control system activates an automatic protection mechanism, making a quick assessment based on historical data and past performance. If the detected flow rate falls below a preset safety threshold, the system automatically switches to a backup data source or switches the flow rate calculation to a stable mode to minimize the impact on data interpretation.

[0095] In specific implementation, assuming that there is a short-term deviation in the flow rate data, the system can read it multiple times by setting the polling time interval and use the moving average method for smoothing. The setting formula is:

[0096]

[0097] in, To calculate the smoothed flow rate, v(t) is the current reading and n is the size of the historical data window. In this way, the system can effectively suppress the interference of transient noise on flow rate judgment.

[0098] To handle equipment failures, the system should include automatic logging and fault identification capabilities. Upon detecting a failure, the system automatically activates a redundant device and continues normal operation. For example, if a laser scanner fails unexpectedly, the system will switch to a backup laser scanner for data collection. In this case, the system will regularly assess the integrity and data accuracy of the backup device through a self-check process to ensure that monitoring is not interrupted by a single device failure.

[0099] Subsequently, all alarm information and fault diagnosis data will be recorded in the monitoring system's log files to facilitate later data analysis and fault summary. After the fault is recovered, the system automatically generates reports for operators to review in real time and conduct a systematic assessment of possible problems.

[0100] The implementation of this exception handling and fault-tolerance mechanism ensures that even if problems arise during data collection, the monitoring system can maintain efficient operation, guaranteeing the continuity and stability of the construction process. Through real-time monitoring, automatic protection, and fault isolation, this mechanism effectively addresses potential risks, maintaining construction safety and ensuring the reliability of monitoring data.

[0101] In summary, step S6 not only enhances the security and flexibility of the monitoring scheme, but also provides important support for subsequent data analysis and construction quality control, ensuring the efficient implementation of the entire bored pile injection monitoring.

[0102] S7. During the monitoring process, if abnormal flow rate or sensor failure is found, alarm and fault tolerance processing will be automatically triggered;

[0103] In this embodiment, with respect to step S7 of the bored pile injection monitoring method based on three-dimensional laser scanning and flow rate control, a detailed description is given of how to systematically record and generate reports for all data collected during the monitoring process to facilitate subsequent data analysis, construction review, and record management.

[0104] During real-time data collection, the system records pile borehole profiles, flow rate data, cumulative injection volume, and other relevant parameters. Each data item must be stored with a precise timestamp to ensure data integrity and traceability for subsequent analysis. Therefore, the system utilizes a database management system specifically designed to store this real-time monitoring data, ensuring rapid and convenient access.

[0105] To effectively record data, the system first ensures that each data collection is associated with a corresponding timestamp. This involves connecting the real-time data collection module to the database writing module. Each time the data is updated, the system saves the data in the following format:

[0106] DataEntry=(timestamp,A(t),v(t),V current );

[0107] In this formula, timestamp is the specific time of data acquisition, A(t) represents the cross-sectional area at time t, v(t) represents the flow velocity at time t, and V current This structured data recording method facilitates subsequent information retrieval, statistics, and analysis.

[0108] Once the data storage mechanism is established, the system generates reports based on predefined templates. These reports will cover key parameters of the entire injection process, including but not limited to cross-sectional area, flow rate, cumulative injection volume at each time point, target vs. actual injection volume comparison, alarm history, and equipment status. Report generation will occur at a specified interval (e.g., hourly or after each injection), ensuring that operators have real-time access to construction progress and potential anomalies.

[0109] Each generated report will use a standardized format to facilitate comparison and analysis between different projects. The generated report format should include:

[0110] Project name and number

[0111] Construction date and time

[0112] Real-time monitoring data list (section area, flow rate, cumulative injection volume)

[0113] Exception handling records

[0114] Construction recommendations and follow-up operation guidelines

[0115] Furthermore, to further enhance the visualization of reports, the system integrates data visualization tools. These tools can generate graphical displays such as bar charts and line graphs, helping operators intuitively understand data trends. This allows operators to quickly identify key milestones and abnormal fluctuations in the construction process when reviewing reports, facilitating real-time adjustments and decision-making during the construction process.

[0116] Once generated, the system must store the report in a secure data storage area to ensure the integrity and privacy of the information. Operators should also be able to easily access these historical reports through the system interface for querying or printing, allowing for subsequent audits.

[0117] In summary, step S7 serves as a bridging mechanism within the entire monitoring solution. Through efficient data recording and standardized report generation, it ensures that every step of the construction process is documented, providing a detailed basis for quality management and subsequent process adjustments. This functionality enhances the systematization and transparency of construction monitoring, providing a crucial guarantee for the successful implementation of engineering projects.

[0118] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A bored pile injection monitoring method based on three-dimensional laser scanning and flow rate control, characterized in that: The following steps are involved: S1. Install a 3D laser scanner and flow velocity sensor at the bored pile construction site; S2, scanning the base height of the three-dimensional laser scanner to obtain pile hole base surface data; S3, setting the target injection volume to the control system; S4, collecting pile hole profile data in real time by the three-dimensional laser scanner; S5, measuring the flow velocity data of concrete in real time through a flow velocity sensor; S6. Calculate the cumulative volume of poured concrete in real time based on the acquired pile hole profile data and flow velocity data; S7. During the monitoring process, if abnormal flow rate or sensor failure is found, an alarm and fault tolerance processing will be automatically triggered.

2. The bored pile injection monitoring method based on three-dimensional laser scanning and flow rate control according to claim 1 is characterized in that: In S1, the three-dimensional laser scanner is installed at a height of 1.2 to 1.8 meters from the bottom surface of the pile hole to ensure that the entire range of the pile hole is covered.

3. The bored pile injection monitoring method based on three-dimensional laser scanning and flow rate control according to claim 1 is characterized in that: In S2, the empty chute is scanned in height by the least square method, and the obtained reference surface data is used for subsequent calculation of the cross-sectional area.

4. The bored pile injection monitoring method based on three-dimensional laser scanning and flow rate control according to claim 1 is characterized in that: In the above-mentioned S5, the flow velocity data is processed according to the rotation speed signal of the flow velocity sensor, and compensation and correction are performed using the corresponding relationship between the flow velocity and the rotation speed.

5. The bored pile injection monitoring method based on three-dimensional laser scanning and flow rate control according to claim 1 is characterized in that: In the above-mentioned S7, when an abnormal flow rate is found, the system can switch to the backup mode and continue to perform volume calculation to avoid monitoring interruption.

6. The bored pile injection monitoring method based on three-dimensional laser scanning and flow rate control according to claim 5 is characterized in that: In the above-mentioned S4, the cross-sectional data collected in real time is used to update and correct the parameters for calculating the injection volume.

7. The bored pile injection monitoring method based on three-dimensional laser scanning and flow rate control according to claim 1 is characterized in that: The alarm includes sound and light alarm and system display prompt so as to notify the operator in time.

8. The bored pile injection monitoring method based on three-dimensional laser scanning and flow rate control according to claim 1 is characterized in that: The monitoring system has a data recording function for saving historical monitoring data and related parameters for post-construction evaluation.

9. The bored pile injection monitoring method based on three-dimensional laser scanning and flow rate control according to claim 1 is characterized in that: The flow velocity sensor is in the form of an impeller and is provided with a self-cleaning device to improve measurement accuracy and stability.

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