Concrete vibration process control and vibration quality automatic detection method and device

Abstract

The invention discloses a concrete vibration process control and vibration quality automatic detection method and device. The method comprises the following steps: an acquisition step: synchronously acquiring multi-source data in a concrete vibration process; a process modeling step: based on the vibration data, the vibration rod attitude data, the operator wrist attitude data and the spatial position data, establishing a vibration process operation specification evaluation model for evaluating the normalization and uniformity of the vibration operation; a quality modeling step: based on the image data of the concrete surface, establishing a vibration quality evaluation model through a deep learning model, and using the vibration quality evaluation model to evaluate the vibration compaction quality of the concrete; and a comprehensive evaluation step: fusing the output results of the vibration process operation specification evaluation model and the vibration quality evaluation model, and carrying out comprehensive evaluation on the concrete vibration quality. According to the invention, automatic identification and whole-process monitoring of the working state of the vibrating rod are realized, the effective vibrating time and frequency are quantified, and the vibrating operation normalization is automatically judged.

Description

Technical Field

[0001] This invention relates to the field of quality control in civil engineering construction, specifically to an intelligent monitoring and quality assessment technology for the concrete vibration construction process, and in particular to a method and device for controlling the concrete vibration process and automatically detecting vibration quality. Background Technology

[0002] Concrete vibration is a crucial step in concrete pouring and forming, playing a decisive role in the final strength, durability, impermeability, and appearance quality of the concrete structure. Currently, the quality of concrete vibration operations highly depends on the experience and responsibility of construction personnel. On-site supervisors mainly rely on visual observation of the concrete surface to estimate vibration time, such as whether it shows signs of slurry formation or the absence of air bubbles, and subjectively assess the standardization of the operation. This method has significant drawbacks, including strong subjectivity, lack of quantitative standards, inadequate process supervision, and inability to intervene in real time. Existing technologies cannot monitor and record the entire working process of the vibrator in real time, making it difficult to effectively supervise the execution of standardized actions such as "quick insertion and slow withdrawal." Moreover, quality problems are often only discovered after vibration is completed, leading to extremely high rectification costs. Furthermore, it is difficult to comprehensively grasp the uniformity of coverage across the entire vibration area, easily resulting in areas of under-vibration or over-vibration. Therefore, there is an urgent need in this field for a technical solution that can monitor the entire concrete vibration process in real time, objectively, and quantitatively, and automatically and accurately assess the final vibration quality. Summary of the Invention

[0003] In view of the above-mentioned defects in the existing technology, the purpose of the present invention is to provide a method and device for controlling the concrete vibration process and automatically detecting the vibration quality, so as to solve the problems of relying on human experience, strong subjectivity, lack of process supervision and inability to conduct real-time quantitative evaluation.

[0004] The technical solution adopted by this invention to solve this technical problem is: a method for controlling the concrete vibration process and automatically detecting the vibration quality, comprising the following steps: Data acquisition steps: Simultaneously acquire multi-source data during the concrete vibration process. The multi-source data includes at least the vibration data of the vibrator, the posture data of the vibrator, the posture data of the operator's wrist, the spatial position data of the operator, and the image data of the concrete surface. Process modeling steps: Based on the vibration data, vibratory rod posture data, operator wrist posture data, and spatial position data, establish a vibration process operation standard evaluation model to evaluate the standardization and uniformity of vibration operations. Quality modeling steps: Based on the image data of the concrete surface, a vibration quality assessment model is established through a deep learning model to evaluate the vibration compaction quality of the concrete; Comprehensive evaluation steps: The output results of the vibration process operation specification evaluation model and the vibration quality evaluation model are integrated to comprehensively evaluate the concrete vibration quality.

[0005] As a further aspect of the present invention, the process modeling step specifically includes: Based on the vibration data, the working state of the vibrator is determined by spectrum analysis. The working state includes at least no load, insertion, effective vibration and withdrawal. The effective vibration time and number of vibrations are calculated based on the working state. Based on the posture data of the vibrating rod and the posture data of the operator's wrist, a vibration operation posture model is established to determine whether the vibration operation meets the preset standardized action requirements. Based on the spatial location data of the operators and their dwell time, combined with the number of vibrations, a heat map of the vibration location distribution is generated to assess the uniformity of the vibration operation.

[0006] As a further aspect of the present invention, the method of judging the working state of the vibrating rod based on vibration data specifically involves performing a fast Fourier transform on the vibration signal and analyzing the variation characteristics of the vibration frequency and amplitude throughout the process to identify different working states of the vibrating rod. The standardized operating procedures include ensuring the vibrator is perpendicular to the concrete surface and using a quick insertion and slow withdrawal technique.

[0007] As a further aspect of the present invention, the vibration data is collected by a vibration sensor installed on the head of the vibrating rod, with a sampling frequency of 10~1000Hz and an acceleration range of 0~5g.

[0008] As a further aspect of the present invention, the spatial location data is acquired through ultra-wideband positioning technology, the positioning base station is deployed in the work area, and the positioning tag is worn on the operator's safety helmet.

[0009] As a further aspect of the present invention, the comprehensive evaluation step specifically includes: Establish a process-quality mapping relationship library, which is used to store the correlation between different process normative patterns in historical data and the corresponding vibration surface quality results; The process standardization assessment results and surface quality assessment results of the current vibration operation are matched and compared with the relational database. Based on the matching results, perform at least one of the following operations: When the process is up to standard but the quality is not up to standard, a prompt message is generated, indicating that there may be a quality risk that is not due to operational reasons. When the process is not standardized but the quality is acceptable, a prompt message is generated, indicating that the current operation involves taking chances and suggesting that the operation be standardized. The final comprehensive evaluation result of vibration quality is weighted or corrected.

[0010] The present invention also provides a device for controlling the concrete vibration process and automatically detecting the vibration quality, comprising: The data acquisition module includes: A vibration sensor, installed at the head of the vibrating rod, is used to collect vibration data; A vibratory rod attitude sensor is installed on the head of the vibratory rod to collect the attitude data of the vibratory rod. Human wrist posture sensor, worn on the forearm and wrist of the operator, is used to collect human posture data; The positioning unit is used to acquire spatial location data of the operator within the vibration operation area; Image acquisition unit, used to acquire image data of concrete surface; The data processing and control module is communicatively connected to the data acquisition module, and the data processing and control module is configured as follows: Receive the multi-source data; Perform the process modeling steps described above to establish an evaluation model for the vibration process operation specifications; Perform the quality modeling steps described above to establish a vibration tamping quality assessment model; Perform the comprehensive evaluation steps described above and output the comprehensive evaluation results of the concrete vibration quality.

[0011] As a further aspect of the present invention, the data processing and control module includes a signal acquisition unit, a wireless transmission device, and a controller capable of spectrum analysis, image data processing, and deep learning model deployment.

[0012] As a further aspect of the present invention, the image acquisition unit is a camera mounted on the operator's safety helmet.

[0013] As a further aspect of the present invention, the positioning unit is a UWB positioning system, including a base station deployed at the edge of the work area and a tag worn on the operator's safety helmet.

[0014] This invention offers at least the following beneficial effects: It achieves objective, quantitative monitoring of multiple parameters throughout the entire vibration process. By integrating various sensors such as vibration, attitude, and positioning sensors, it automatically collects and analyzes key parameters such as vibration time, frequency, action standardization, and location distribution, completely changing the reliance on subjective human judgment and ensuring the objectivity and accuracy of the data. This invention improves the timeliness and traceability of quality supervision, enabling real-time detection of non-standard operations during vibration and immediate warnings, allowing construction personnel to correct them on the spot. This transforms passive post-event handling into proactive process control. Furthermore, all process data can be stored and traced, providing solid data support for quality analysis.

[0015] The core advantage of this invention lies in realizing intelligent comprehensive diagnosis of vibration quality. By constructing a process-quality mapping relationship library, the system intelligently associates and integrates process behavior with quality results. The system can not only provide the final quality evaluation, but also prompt non-operational potential causes when the process is standardized but the quality is poor, or warn of the possibility of taking chances in operation when the process is not standardized but the quality is qualified. This greatly improves the depth and intelligence level of quality assessment.

[0016] Furthermore, this invention reduces reliance on highly skilled supervisors through automated detection and evaluation, thereby lowering labor costs. Through standardized data-driven decision-making, it effectively ensures the stability and consistency of vibration quality under different operating conditions, significantly improving overall construction efficiency and guaranteeing the safety and durability of concrete structure engineering.

[0017] Other advantages, objectives and features of the present invention will become apparent in part from the following description, and in part from those skilled in the art through study and practice of the invention. Attached Figure Description

[0018] Figure 1 This is a system diagram of the concrete vibration process control and automatic vibration quality detection device of the present invention; Figure 2 This is a diagram showing the deployment of the vibration sensor and attitude sensor of the present invention on the vibrating rod; Figure 3 This is a schematic diagram of the concrete vibration quality evaluation method of the present invention; Figure 4 It is a frequency domain waterfall plot of the vibration frequency and amplitude of the vibrator and the vibration operation (no load, insertion, withdrawal, no load); Figure 5 It is a frequency domain waterfall plot of the vibration frequency and amplitude of the vibrator versus the vibration operation (stationary); Figure 6 It is a heat map of the vibration location distribution model; Figure 7 This is a schematic diagram of the evaluation results corresponding to the vibration quality assessment model.

[0019] Among them, 1-vibrator, 2-vibration sensor, 3-vibrator posture sensor, 4-signal line, 5-vibrator posture signal acquisition device, 6-vibration signal acquisition device, 7-drive motor, 8-vibrator drive hose. Detailed Implementation

[0020] The present invention will now be described in detail and completely with reference to the accompanying drawings. Those skilled in the art will be able to implement the present invention based on these descriptions. Before describing the present invention with reference to the accompanying drawings, it should be particularly noted that the technical solutions and features provided in various parts of the present invention, including the following description, can be combined with each other without conflict.

[0021] Furthermore, the embodiments of the present invention described below are generally only some, not all, of the embodiments of the present invention. Therefore, all other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort should fall within the scope of protection of the present invention.

[0022] The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. The specific implementation process is as follows: like Figure 3 As shown, this invention provides a method for controlling the concrete vibration process and automatically detecting the vibration quality, comprising the following steps: Data acquisition steps: Simultaneously acquire multi-source data during the concrete vibration process. The multi-source data includes at least the vibration data of the vibrator, the posture data of the vibrator, the posture data of the operator's wrist, the spatial position data of the operator, and the image data of the concrete surface. Process modeling steps: Based on the vibration data, vibratory rod posture data, operator wrist posture data, and spatial position data, establish a vibration process operation standard evaluation model to evaluate the standardization and uniformity of vibration operations. Quality modeling steps: Based on the image data of the concrete surface, a vibration quality assessment model is established through a deep learning model to evaluate the vibration compaction quality of the concrete; Comprehensive evaluation steps: By integrating the output results of the vibration process operation specification evaluation model and the vibration quality evaluation model, a comprehensive evaluation of the concrete vibration quality is performed, such as... Figure 7 As shown.

[0023] In this implementation, a vibration sensor and an attitude sensor are first installed on the head of the vibrator, and another attitude sensor is worn on the operator's forearm and wrist. A positioning tag and camera are installed on the operator's safety helmet. Ultra-wideband positioning base stations are deployed around the construction work area. When vibration work begins, the system synchronously starts and collects vibration data and angle attitude data of the vibrator itself, motion data of the operator's wrist, its position data, and image data of the concrete work surface it is facing. All of this data is transmitted to the controller in real time via wireless transmission.

[0024] The controller performs Fast Fourier Transform (FFT) spectrum analysis on the received vibration signals. By identifying the characteristic change patterns of vibration frequency and amplitude throughout the process, it automatically determines whether the vibrator is in an unloaded state, inserted into concrete, effectively vibrating, or withdrawn state, and accurately calculates the effective vibration time and total number of vibrations at each point. Simultaneously, the controller integrates the posture data of the vibrator and the operator's wrist, calculating their relative posture to determine whether the vibrator remained perpendicular to the concrete surface during insertion and withdrawal, and whether it conformed to the fast insertion and slow withdrawal action specification. Furthermore, by combining the operator's positioning data and dwell time at each location, the system generates a heat map of the vibration operation, visually displaying the distribution of vibration points, thereby assessing the uniformity of vibration. These steps together constitute a standardized evaluation model for the vibration process.

[0025] After a period of vibration operation, images of the concrete surface captured by the camera on the operator's helmet are transmitted to the controller. The controller is equipped with a trained deep learning model that automatically identifies surface features of the concrete in the images, such as the coverage of the grout, smoothness, and the presence of bleeding or defects, thus outputting a vision-based surface quality assessment. Finally, the system enters the comprehensive evaluation phase. In this phase, the system loads a process-quality mapping database, pre-trained with historical data, into memory. This database stores the associations between various typical process operation patterns and their corresponding quality results. The system matches and compares the real-time process compliance assessment results and surface quality assessment results obtained during this operation with the patterns in this database. For example, if the system determines that the process operation is completely compliant but the surface quality assessment is unqualified, it generates a prompt indicating potential risks due to non-operational reasons such as the concrete material itself or its mix proportions. Conversely, if the process operation is non-compliant but the surface quality is passable by chance, the system issues a warning, indicating potential hazards in the current operation and recommending strict adherence to specifications. Through this deep data fusion and intelligent diagnosis, the present invention ultimately outputs a comprehensive and more reliable evaluation conclusion on the vibration quality, realizing intelligent monitoring and management of the entire chain from process to result.

[0026] In another technical solution, the process modeling step specifically includes: Based on the vibration data, the working state of the vibrator is determined by spectrum analysis. The working state includes at least no load, insertion, effective vibration and withdrawal. The effective vibration time and number of vibrations are calculated based on the working state. Based on the posture data of the vibrating rod and the posture data of the operator's wrist, a vibration operation posture model is established to determine whether the vibration operation meets the preset standardized action requirements. Based on the spatial location data of the operators and their dwell time, combined with the number of vibrations, a heat map of the vibration location distribution is generated to assess the uniformity of the vibration operation.

[0027] In this embodiment of the invention, the process modeling steps are specified as three levels of analysis. First, by analyzing data from vibration sensors, the system can automatically identify the complete work cycle of the vibrator from empty rotation to insertion into concrete, to effective vibration, and finally to withdrawal, and accurately calculate the pure effective vibration time at each location point, rather than the total time. Second, by comparing data from two posture sensors installed on the head of the vibrator and the operator's wrist, the system can calculate the actual spatial angle of the vibrator relative to the forearm, thereby accurately determining whether the vibrator maintains a perpendicular state to the concrete surface at the moment of insertion and withdrawal, and whether the withdrawal speed is significantly slower than the insertion speed, i.e., whether it conforms to the fast insertion and slow withdrawal standard. Finally, the system combines personnel positioning data with the number of vibrations at each location to automatically generate a vibration operation heat map. This map can intuitively reveal which areas have excessively dense vibration points that may pose a risk of over-vibration, and which areas have sparse vibration points that may pose a risk of under-vibration, thus achieving a quantitative assessment of the uniformity of vibration distribution.

[0028] In another technical solution, the method of judging the working state of the vibrator based on vibration data specifically involves: performing a fast Fourier transform on the vibration signal to analyze the variation characteristics of the vibration frequency and amplitude throughout the process, so as to identify different working states of the vibrator. According to the "Code for Construction of Concrete Structures GB50666-2011", "the vibrator should be perpendicular to the concrete surface and inserted quickly and withdrawn slowly to vibrate evenly". The standard operating procedure includes the vibrator being perpendicular to the concrete surface and the operation of inserting quickly and withdrawing slowly.

[0029] In this embodiment of the invention, for state recognition, the system does not rely on the simple amplitude of the original vibration waveform, but instead performs a fast Fourier transform on the vibration signal, converting it from the time domain to the frequency domain. In the frequency domain, the dominant vibration frequency and energy distribution of the vibrator will exhibit drastically different characteristic patterns when it is running unloaded, vibrating in air, and vibrating under load after being inserted into dense concrete, such as... Figure 4-5As shown, by analyzing the changes in vibration frequency and amplitude throughout the entire process (vibrator stationary – vibrator running unloaded – vibrator insertion – vibrator withdrawal – vibrator unloaded – vibrator stationary), the relationship between vibration and vibration frequency and amplitude is established, thereby determining the effective vibration time and number of vibrations. By analyzing these spectral characteristics, the system can reliably distinguish and mark each working state. Regarding the standardization of actions, this invention provides a clear technical definition. Verticality is determined by directly measuring spatial angle data from the vibrator's attitude sensor. The "fast insertion, slow withdrawal" principle is calculated by fusing the vibrator's attitude and vibration data, calculating the time from initial insertion to complete insertion, and comparing it with the time from initial withdrawal to complete withdrawal. If the latter time is significantly longer than the former, it is determined to meet the slow withdrawal requirement, transforming vague operational guidelines into precise time-series judgment logic.

[0030] In another technical solution, the vibration data is collected by a vibration sensor installed on the head of the vibratory tamper, with a sampling frequency of 10~1000Hz and an acceleration range of 0~5g. When attempting to monitor the vibratory tamper, arbitrarily selecting a general-purpose industrial vibration sensor may lead to monitoring failure due to parameter mismatch. For example, using a sensor with an excessively large range, such as a high-range sensor used for monitoring bridge structure vibration, may be insensitive to subtle changes in the vibratory tamper's vibration under no-load conditions; conversely, using a sensor with an excessively low sampling frequency will fail to capture the high-frequency vibration components of the vibratory tamper motor, resulting in ineffective spectral analysis. This invention, through experimental and theoretical analysis, has determined the optimal sensor parameters suitable for this scenario. Setting the sampling frequency of the vibration sensor between 10~1000Hz fully covers the range from slow motion changes to high-frequency mechanical vibrations. Simultaneously, setting the acceleration range between zero and five times the gravitational acceleration ensures effective signal capture when the vibratory tamper is unloaded or slightly touched, while avoiding signal overload distortion when it is inserted into the concrete under maximum load. This targeted sensor selection and design provides a crucial hardware foundation for the reliable operation of the system of this invention.

[0031] In another technical solution, the spatial location data is acquired using ultra-wideband (UWB) positioning technology. Positioning base stations are deployed in the work area, and positioning tags are worn on the operator's safety helmet. This invention employs UWB positioning technology, communicating by transmitting extremely short-duration pulse signals, thus achieving extremely high temporal resolution and resistance to multipath interference. In implementation, multiple positioning base stations are deployed at key inflection points on the edge of the area to be poured, collectively forming a precise positioning coordinate field. The positioning tag on the operator's safety helmet continuously transmits signals, and each base station receives these signals and calculates the time difference to determine the operator's real-time, high-precision two-dimensional plane coordinates. This technology can control positioning errors within tens of centimeters or even a few centimeters, far exceeding traditional wireless methods. Based on this precise location data, the system can accurately track the operator's movement trajectory and, combined with vibration signals, determine the specific location of each effective vibration, ultimately generating a heat map of vibration location distribution that accurately reflects the construction situation and is used to assess uniformity. Figure 6 As shown.

[0032] In another technical solution, the comprehensive evaluation step specifically includes: Establish a process-quality mapping relationship library, which is used to store the correlation between different process normative patterns in historical data and the corresponding vibration surface quality results; The process standardization assessment results and surface quality assessment results of the current vibration operation are matched and compared with the relational database. Based on the matching results, perform at least one of the following operations: When the process is up to standard but the quality is not up to standard, a prompt message is generated, indicating that there may be a quality risk that is not due to operational reasons. When the process is not standardized but the quality is acceptable, a prompt message is generated, indicating that the current operation involves taking chances and suggesting that the operation be standardized. The final comprehensive evaluation result of vibration quality is weighted or corrected.

[0033] During system implementation, a large amount of historical project vibration process data and corresponding post-forming quality data are used in advance for data mining and machine learning to establish a relational database. This database stores various typical scenarios, such as "standard vibration usually corresponds to a good surface" and "insufficient vibration time usually corresponds to a honeycomb-like surface." In practical applications, when the system detects an inconsistency between the process evaluation result and the image quality evaluation result of the current operation, it will actively query this relational database. For example, if the process is completely standardized but the surface image shows poor quality, the system will not simply determine that the quality is unqualified, but will combine the experience in the relational database to suggest that there may be non-operational reasons such as poor slump of the concrete material itself, segregation, or formwork leakage. Conversely, if there are obvious non-standard process operations but no defects are temporarily visible on the surface, the system will indicate that the current quality is due to luck and is a high-risk behavior based on historical data, and strongly recommends standardized operation. In this way, this invention elevates quality management from simple result acceptance or process supervision to a new level of intelligent diagnosis and early warning based on data association.

[0034] like Figure 1-2 As shown, the present invention also provides a concrete vibration process control and vibration quality automatic detection device, comprising: The data acquisition module includes: Vibration sensor 2 is installed at the head of the vibrating rod to collect vibration data; The vibratory rod attitude sensor 3 is installed on the head of the vibratory rod 1 to collect the attitude data of the vibratory rod; the vibratory rod is connected to the drive motor 7 through the vibratory rod drive hose 8; the signal lines 4 of the vibratory rod attitude sensor 3 and the vibration sensor are set inside the vibratory rod drive hose and are respectively connected to the vibratory rod attitude signal collector 5 and the vibration signal collector 6. Human wrist posture sensor, worn on the forearm and wrist of the operator, is used to collect human posture data; The positioning unit is used to acquire spatial location data of the operator within the vibration operation area; Image acquisition unit, used to acquire image data of concrete surface; The data processing and control module is communicatively connected to the data acquisition module, and the data processing and control module is configured as follows: Receive the multi-source data; Perform the process modeling steps described above to establish an evaluation model for the vibration process operation specifications; Perform the quality modeling steps described above to establish a vibration tamping quality assessment model; Perform the comprehensive evaluation steps described above and output the comprehensive evaluation results of the concrete vibration quality.

[0035] The device in this embodiment includes an integrated data acquisition module that integrates vibration sensors, vibratory rod attitude sensors, human wrist attitude sensors, positioning units, and image acquisition units as standard sensing components of the system. These sensors are designed to be installed at key locations such as the vibratory rod, the operator's body, and safety helmet, ensuring the directness and representativeness of the data acquisition. All sensors are connected to the data processing and control module via wired or wireless means. The controller in the data processing and control module incorporates dedicated algorithms and software for performing spectrum analysis, attitude calculation, positioning calculation, deep learning inference, and intelligent fusion diagnostics. This device can be deployed on construction sites, automatically completing the entire process from sensing to analysis to evaluation, outputting directly usable comprehensive evaluation results of vibration quality, greatly improving the convenience of engineering applications and the reliability of the system.

[0036] In another technical solution, the data processing and control module includes a signal acquisition unit, a wireless transmission device, and a controller capable of spectrum analysis, image data processing, and deep learning model deployment. The signal acquisition unit includes a vibration signal acquisition unit, a vibratory rod posture signal acquisition unit, a wrist posture signal acquisition unit, and a UWB base station; the vibration signal acquisition unit is portable, and the vibration signal is transmitted to the controller using a DTU or other wireless transmission methods.

[0037] In another technical solution, the image acquisition unit is a camera mounted on the operator's safety helmet. The camera moves with the operator, its field of view naturally covering the area currently undergoing vibration, enabling active tracking of the work process. This first-person perspective acquisition method allows for the capture of details of the freshly vibrated concrete surface at the closest distance and optimal angle when directly facing the work surface. This includes details such as the gloss and smoothness of the slurry, and whether there are traces of bleeding or bursting air bubbles, providing high-quality, highly relevant input images for subsequent deep learning models. Furthermore, mounting the camera on the safety helmet eliminates the need for the operator to hold it manually or set up numerous fixed camera positions on complex work surfaces, ensuring both continuous and targeted acquisition while minimizing interference with normal construction.

[0038] In another technical solution, the positioning unit is a UWB positioning system, comprising base stations deployed at the edge of the work area and tags worn on the operator's safety helmet. In specific deployment, multiple ultra-wideband base stations are deployed at the corners of the work area to be poured, collectively constructing a precise coordinate measurement field covering the entire work surface. The tags worn on the operator's safety helmet serve as movement points. By measuring the flight time of radio waves between the tags and each base station, the system can calculate the real-time two-dimensional coordinates of the tags with extremely high accuracy, typically down to the decimeter level. This high-precision positioning capability allows the system to clearly depict the operator's walking path on the work surface and accurately record their stopping position at each vibration point, thus providing high-quality spatial data for generating a location distribution heatmap that accurately reflects the construction situation and can be used to precisely assess the vibration spacing and uniformity.

[0039] Although embodiments of the present invention have been disclosed above, they are not limited to the applications listed in the specification and embodiments. They can be applied to various fields suitable for the present invention. For those skilled in the art, other modifications can be easily made. Therefore, without departing from the general concept defined by the claims and their equivalents, the present invention is not limited to the specific details and embodiments shown and described herein.

Claims

1. A method for controlling the concrete vibration process and automatically detecting the vibration quality, characterized in that, Includes the following steps: Data acquisition steps: Simultaneously acquire multi-source data during the concrete vibration process. The multi-source data includes at least the vibration data of the vibrator, the posture data of the vibrator, the posture data of the operator's wrist, the spatial position data of the operator, and the image data of the concrete surface. Process modeling steps: Based on the vibration data, vibratory rod posture data, operator wrist posture data, and spatial position data, establish a vibration process operation standard evaluation model to evaluate the standardization and uniformity of vibration operations. Quality modeling steps: Based on the image data of the concrete surface, a vibration quality assessment model is established through a deep learning model to evaluate the vibration compaction quality of the concrete; Comprehensive evaluation steps: The output results of the vibration process operation specification evaluation model and the vibration quality evaluation model are integrated to comprehensively evaluate the concrete vibration quality.

2. The method for controlling the concrete vibration process and automatically detecting vibration quality as described in claim 1, characterized in that, The process modeling steps specifically include: Based on the vibration data, the working state of the vibrator is determined by spectrum analysis. The working state includes at least no load, insertion, effective vibration and withdrawal. The effective vibration time and number of vibrations are calculated based on the working state. Based on the posture data of the vibrating rod and the posture data of the operator's wrist, a vibration operation posture model is established to determine whether the vibration operation meets the preset standardized action requirements. Based on the spatial location data of the operators and their dwell time, combined with the number of vibrations, a heat map of the vibration location distribution is generated to assess the uniformity of the vibration operation.

3. The method for controlling the concrete vibration process and automatically detecting vibration quality as described in claim 2, characterized in that, The method of judging the working state of the vibrator based on vibration data is as follows: perform fast Fourier transform on the vibration signal, analyze the change characteristics of vibration frequency and amplitude throughout the process, and identify different working states of the vibrator. The standardized operating procedures include ensuring the vibrator is perpendicular to the concrete surface and using a quick insertion and slow withdrawal technique.

4. The method for controlling the concrete vibration process and automatically detecting vibration quality as described in claim 1, characterized in that, The vibration data is collected by a vibration sensor installed at the head of the vibratory rod.

5. The method for controlling the concrete vibration process and automatically detecting vibration quality as described in claim 1, characterized in that, The spatial location data is acquired through ultra-wideband positioning technology, with positioning base stations deployed in the work area and positioning tags worn on the operator's safety helmet.

6. The method for controlling the concrete vibration process and automatically detecting vibration quality as described in claim 1, characterized in that, The comprehensive evaluation steps specifically include: Establish a process-quality mapping relationship library, which is used to store the correlation between different process normative patterns in historical data and the corresponding vibration surface quality results; The process standardization assessment results and surface quality assessment results of the current vibration operation are matched and compared with the relational database. Based on the matching results, perform at least one of the following operations: When the process is up to standard but the quality is not up to standard, a prompt message is generated, indicating that there may be a quality risk that is not due to operational reasons. When the process is not standardized but the quality is acceptable, a prompt message is generated, indicating that the current operation involves taking chances and suggesting that the operation be standardized. The final comprehensive evaluation result of vibration quality is weighted or corrected.

7. A concrete vibration process control and automatic vibration quality detection device, used to implement the method described in any one of claims 1 to 6, characterized in that, include: The data acquisition module includes: A vibration sensor, installed at the head of the vibrating rod, is used to collect vibration data; A vibratory rod attitude sensor is installed on the head of the vibratory rod to collect the attitude data of the vibratory rod. Human wrist posture sensor, worn on the forearm and wrist of the operator, is used to collect human posture data; The positioning unit is used to acquire spatial location data of the operator within the vibration operation area; Image acquisition unit, used to acquire image data of concrete surface; The data processing and control module is communicatively connected to the data acquisition module, and the data processing and control module is configured as follows: Receive the multi-source data; Perform the process modeling steps described above to establish an evaluation model for the vibration process operation specifications; Perform the quality modeling steps described above to establish a vibration tamping quality assessment model; Perform the comprehensive evaluation steps described above and output the comprehensive evaluation results of the concrete vibration quality.

8. The apparatus as claimed in claim 7, characterized in that, The data processing and control module includes a signal acquisition unit, a wireless transmission device, and a controller capable of spectrum analysis, image data processing, and deep learning model deployment.

9. The method for controlling the concrete vibration process and automatically detecting the vibration quality as described in claim 8, characterized in that, The image acquisition unit is a camera mounted on the operator's safety helmet.

10. The method for controlling the concrete vibration process and automatically detecting vibration quality as described in claim 8, characterized in that, The positioning unit is a UWB positioning system, which includes a base station deployed at the edge of the work area and a tag worn on the operator's safety helmet.

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