Real-time monitoring method and system for concrete pouring process

Abstract

The present application relates to the technical field of engineering construction quality monitoring, in particular to a real-time monitoring method and system for concrete pouring process, which comprises the following steps: obtaining the concrete pouring plan input by the user and generating corresponding construction task data; collecting concrete transportation receipt image and generating corresponding concrete batch number information, and associating it with the construction task data; collecting slump test video and identifying the slump information, and associating it with the corresponding concrete batch number information; collecting test block making image and identifying the test block quantity information, and associating it with the corresponding concrete batch number information; collecting pouring site video and identifying the key operation behavior information, and associating it with the corresponding concrete batch number information, thereby, the present application can realize automatic real-time monitoring of concrete pouring quality and construction safety at the same time.

Description

Technical Field

[0001] This invention relates to the field of engineering construction quality monitoring technology, and in particular to a method and system for real-time monitoring of the concrete pouring process. Background Technology

[0002] Currently, in engineering construction management, the quality of concrete pouring mainly relies on the construction unit's self-inspection and on-site supervision by the supervisors. Supervisors typically monitor quality by checking concrete transport tickets, mix proportion information, slump testing, and test block preparation, and compile on-site supervision records after pouring. With the development of smart construction sites and video surveillance technology, some construction sites have installed monitoring equipment for remote monitoring of the construction process. However, existing systems primarily focus on construction safety management and lack effective data collection and analysis methods for quality control during concrete pouring. Related inspections and records still mainly rely on manual labor, resulting in low efficiency, incomplete data recording, and insufficient real-time performance, making it difficult to achieve real-time monitoring and standardized management of the entire concrete pouring process. Summary of the Invention

[0003] The purpose of this invention is to provide a method and system for real-time monitoring of the concrete pouring process, which can solve the technical problem that existing construction monitoring technologies cannot achieve simultaneous automatic real-time monitoring of concrete pouring quality and construction safety.

[0004] To address the aforementioned technical problems, this invention provides a method for real-time monitoring of the concrete pouring process. The method includes: before concrete pouring construction, acquiring a user-input concrete pouring plan and generating corresponding construction task data based on the plan; after concrete transport vehicles arrive on site, capturing images of concrete transport receipts, recognizing the images, generating corresponding concrete batch number information, and associating the batch number information with the construction task data; during concrete construction, capturing slump test videos, recognizing the videos to obtain slump information, and associating the slump information with the corresponding concrete batch number information; during test block preparation, capturing test block preparation images, recognizing the images to obtain test block quantity information, and associating the quantity information with the corresponding concrete batch number information; and during concrete pouring, capturing pouring site videos, recognizing the videos to obtain key operational behavior information, and associating the key operational behavior information with the corresponding concrete batch number information.

[0005] Optionally, the monitoring method further includes: generating a concrete pouring on-site monitoring record based on the construction task data, the concrete batch number information, the slump information, the test block quantity information, and the key operation behavior information.

[0006] Optionally, the step of recognizing the concrete transport ticket image includes: using optical character recognition technology to recognize the concrete transport ticket image to obtain full text containing the original arrival information of the corresponding batch of concrete.

[0007] Optionally, the step of identifying the slump test video to obtain slump information includes: using an image recognition algorithm to identify image frames in the slump test video to identify the slump cone and concrete pile; determining a reference horizontal plane based on the top edge of the slump cone; locating the highest point of the collapsed concrete according to the concrete pile; and calculating the vertical height difference between the highest point and the reference horizontal plane to obtain the slump information.

[0008] Optionally, the step of recognizing the image of the test block to obtain the number of test blocks includes: using an image recognition algorithm to recognize the image of the test block to identify the test block support surface and the concrete test block; determining a reference plane based on the edge of the test block support surface; locating the projection outline of each concrete test block on the reference plane; and counting the number of the projection outlines to obtain the number of test blocks.

[0009] Optionally, the key operational behaviors include concrete pouring, vibration operation, and construction personnel operation behaviors.

[0010] Optionally, the monitoring method further includes: determining whether the quality of concrete with the corresponding concrete batch number is abnormal based on the slump information and / or the number of test blocks, and generating alarm information when the quality of the concrete is determined to be abnormal.

[0011] Optionally, the monitoring method further includes: determining whether there is any illegal construction behavior during the concrete pouring process based on the key operation behavior information, and generating alarm information when it is determined that there is illegal construction behavior.

[0012] To address the aforementioned technical problems, this invention also provides a real-time monitoring system for concrete pouring, comprising: a construction plan management module configured to acquire a user-input concrete pouring plan before concrete pouring construction and generate corresponding construction task data based on the concrete pouring plan; a data acquisition module configured to acquire images of concrete transport receipts after concrete transport vehicles arrive on site, acquire slump test videos during concrete construction, acquire images of test block preparation during test block preparation, and acquire videos of the pouring site during concrete pouring; and a site detection and recognition module configured to: analyze the concrete transport receipt images... The system identifies and generates corresponding concrete batch number information, and associates the concrete batch number information with the construction task data; it identifies the slump test video to obtain slump information, and associates the slump information with the corresponding concrete batch number information; it identifies the test block production image to obtain test block quantity information, and associates the test block quantity information with the corresponding concrete batch number information; and it includes a construction behavior recognition module configured to: identify the pouring site video to obtain key operation behavior information, and associate the key operation behavior information with the corresponding concrete batch number information.

[0013] Optionally, the real-time monitoring system for concrete pouring process provided by the present invention further includes: a data processing module configured to generate a concrete pouring on-site monitoring record based on the construction task data, the concrete batch number information, the slump information, the test block quantity information, and the key operation behavior information; and a supervision management platform configured to display the concrete pouring on-site monitoring record.

[0014] Compared with the prior art, the real-time monitoring method and system for concrete pouring process provided by the present invention has the following beneficial effects:

[0015] The real-time monitoring method for concrete pouring provided by this invention identifies and generates concrete batch number information by acquiring and recognizing images of concrete transport tickets, acquiring and recognizing slump test videos to obtain slump information, and acquiring and recognizing test block preparation images to obtain test block quantity information. This method can replace manual visual readings, manual recording, and manual counting, thereby reducing human error and improving the accuracy of slump data acquisition. Simultaneously, by automatically recognizing the number of test blocks, it avoids problems of insufficient or disordered test block placement, ensuring that the test blocks accurately reflect the quality of the corresponding batch of concrete and improving the representativeness of the test results. Furthermore, by associating concrete batch number information with construction task data, and associating slump information, test block quantity information, and key operational behavior information with concrete batch number information respectively, this invention enables full-process association and traceability management of concrete quality data, improving the controllability of quality management. It also provides data support for subsequent statistical analysis and quality assessment, enhancing centralized data management and analysis capabilities.

[0016] Since the real-time monitoring system for concrete pouring process provided by this invention and the real-time monitoring method for concrete pouring process provided by this invention belong to the same inventive concept, the real-time monitoring system for concrete pouring process provided by this invention has at least all the beneficial effects of the real-time monitoring method for concrete pouring process provided by this invention. For details, please refer to the relevant description above. Therefore, the beneficial effects of the real-time monitoring system for concrete pouring process provided by this invention will not be elaborated here. Attached Figure Description

[0017] Figure 1 A flowchart of a real-time monitoring method for concrete pouring process provided in one embodiment of the present invention.

[0018] Figure 2 This is an overall flowchart of a real-time monitoring method for concrete pouring process provided by an embodiment of the present invention.

[0019] Figure 3 The AI ​​recognition flowchart is provided for a real-time monitoring method of concrete pouring process according to an embodiment of the present invention.

[0020] Figure 4 This is a block diagram of a real-time monitoring system for concrete pouring process provided in one embodiment of the present invention.

[0021] Figure 5 This is a block diagram of the data acquisition module of a real-time monitoring system for concrete pouring process provided in one embodiment of the present invention.

[0022] Figure 6 This is a block diagram of the field detection and identification module of the real-time monitoring system for concrete pouring process provided in one embodiment of the present invention.

[0023] Figure 7 This is a block diagram of the construction behavior recognition module of a real-time monitoring system for concrete pouring process provided in one embodiment of the present invention.

[0024] The reference numerals in the attached figures are explained as follows:

[0025] 1-Construction plan management module, 2-Data acquisition module, 201-Mobile terminal, 202-Camera, 3-On-site detection and recognition module, 301-Optical character recognition unit, 302-Slump recognition unit, 303-Test block recognition unit, 4-Construction behavior recognition module, 401-AI behavior analysis unit, 402-Alarm unit, 5-Data processing module, 6-Supervision management platform, 7-Supervision terminal. Detailed Implementation

[0026] The real-time monitoring method and system for concrete pouring process proposed in this invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. The advantages and features of this invention will become clearer from the following description. Please refer to the accompanying drawings for the objectives, features, and advantages of this invention to make them more apparent and understandable.

[0027] The core idea of ​​this invention is to provide a method and system for real-time monitoring of the concrete pouring process, which can solve the technical problem that existing construction monitoring technologies cannot achieve simultaneous automatic real-time monitoring of concrete pouring quality and construction safety.

[0028] To achieve the above-mentioned goals, this invention provides a method for real-time monitoring of the concrete pouring process. Please refer to [the relevant documentation]. Figure 1 ,like Figure 1As shown, the present invention provides a real-time monitoring method for concrete pouring process, the method comprising: step S100, before concrete pouring construction, acquiring a concrete pouring plan input by the user, and generating corresponding construction task data according to the concrete pouring plan; step S200, after the concrete transport vehicle enters the site, acquiring an image of the concrete transport ticket, recognizing the image of the concrete transport ticket, generating corresponding concrete batch number information, and associating the concrete batch number information with the construction task data; step S300, during concrete construction, acquiring slump test video, and... The slump test video is identified to obtain slump information, and the slump information is associated with the corresponding concrete batch number information; Step S400: During the test block production process, test block production images are acquired, and the test block production images are identified to obtain test block quantity information, and the test block quantity information is associated with the corresponding concrete batch number information; Step S500: During the concrete pouring process, pouring site video is acquired, and the pouring site video is identified to obtain key operation behavior information, and the key operation behavior information is associated with the corresponding concrete batch number information.

[0029] Therefore, the real-time monitoring method for concrete pouring provided by this invention, by acquiring and identifying concrete transport ticket images to generate concrete batch number information, acquiring and identifying slump test videos to obtain slump information, and acquiring and identifying test block preparation images to obtain test block quantity information, can replace manual visual reading, manual recording, and manual counting, thereby reducing human error and improving the accuracy of slump data acquisition. Simultaneously, by automatically identifying the number of test blocks, it avoids the problems of insufficient or disordered test block retention, ensuring that the test blocks truly reflect the quality of the corresponding batch of concrete and improving the representativeness of the test results. Furthermore, by associating concrete batch number information with construction task data, and associating slump information, test block quantity information, and key operational behavior information with concrete batch number information respectively, this invention can achieve full-process association and traceability management of concrete quality data, improving the controllability of quality management, and providing data support for subsequent statistical analysis and quality assessment, enhancing centralized data management and analysis capabilities.

[0030] For further details, please refer to... Figure 2 ,like Figure 2 As shown, the monitoring method further includes: generating a concrete pouring on-site monitoring record based on the construction task data, the concrete batch number information, the slump information, the test block quantity information, and the key operation behavior information.

[0031] Therefore, by directly generating concrete pouring on-site monitoring records, the manual copying, summarizing, and paper-based filling methods of supervisors can be replaced. This eliminates the problems of information mismatch and incomplete records caused by scattered data sources, memory bias, or handover omissions during the manual collection process. In turn, it can ensure that the concrete pouring on-site monitoring records accurately correspond to the actual on-site construction process, quality inspection data, and concrete batch information, thereby improving the completeness, consistency, and timeliness of the generated concrete pouring on-site monitoring records.

[0032] For further information, please refer to the following: Figure 2 ,like Figure 2 As shown, the recognition of the concrete transport ticket image includes: using optical character recognition technology to recognize the concrete transport ticket image to obtain the full text containing the original arrival information of the corresponding batch of concrete.

[0033] Therefore, this setup can replace the traditional manual transcription method, avoiding errors and omissions caused by illegible handwriting or complex information during the manual word-by-word transcription process. This enables the rapid and automatic extraction and digital conversion of the original concrete arrival information, significantly improving the convenience and accuracy of data entry.

[0034] Specifically, optical character recognition (OCR) technology can be used to identify the concrete transport ticket image to obtain the full text containing the original arrival information of the corresponding batch of concrete. Then, the full text is structured and parsed to extract at least one key field from the recorded information, including the factory serial number, strength grade, pouring volume, and production time. Based on the key field information, concrete batch number information corresponding to each batch of concrete is generated according to a preset coding rule. The concrete batch number information is then associated and stored with the corresponding construction task data and mix proportion information to achieve automatic recording of concrete arrival data and full-process quality data traceability based on the concrete batch number information.

[0035] For further details, please refer to... Figure 3 ,like Figure 3 As shown, the step of identifying the slump test video to obtain slump information includes: using an image recognition algorithm to identify image frames in the slump test video to identify the slump cone and concrete pile; determining a reference horizontal plane based on the top edge of the slump cone; locating the highest point of the collapsed concrete according to the concrete pile; and calculating the vertical height difference between the highest point and the reference horizontal plane to obtain the slump information.

[0036] Therefore, this setup can replace manual visual reading and recording, eliminating subjective errors and recording deviations inherent in manual reading, thereby improving the objectivity, accuracy, and consistency of slump information collection. Simultaneously, this setup can simplify the testing process, enhancing the automation and efficiency of slump testing.

[0037] Specifically, firstly, an artificial intelligence recognition model is invoked, and image recognition algorithms are used to analyze and recognize the input slump test video frame by frame, extracting the edge of the slump cone and the outline features of the concrete pile formed by the collapse. Then, using the top edge of the slump cone as a spatial reference, a reference horizontal plane is constructed and determined in the image. Next, based on the extracted concrete pile outline, the highest point of the collapsed concrete is automatically located, and the vertical height difference between this highest point and the reference horizontal plane is calculated through spatial mapping. Finally, this vertical height difference is directly output as the calculation result, thus obtaining the slump information.

[0038] For further information, please refer to the following: Figure 3 ,like Figure 3 As shown, the step of recognizing the image of the test block to obtain the number of test blocks includes: using an image recognition algorithm to recognize the image of the test block to identify the test block support platform and the concrete test block; determining a reference plane based on the edge of the test block support platform; locating the projection outline of each concrete test block on the reference plane; and counting the number of the projection outlines to obtain the number of test blocks.

[0039] Therefore, this setup can replace manual on-site counting and manual recording, eliminating errors caused by human error such as omissions, duplicate records, or confusing labeling, thereby improving the objectivity, accuracy, and consistency of the statistical analysis of the number of test blocks produced.

[0040] Specifically, firstly, an artificial intelligence recognition model is invoked, and image recognition algorithms are used to analyze and recognize the input image of the test block fabrication, extracting the outline features of the test block's supporting platform and the concrete test block itself from the image. Then, using the edge of the test block's supporting platform as a spatial reference, a reference plane is constructed and defined in the image. Next, based on the extracted test block outlines, the projected outlines of each concrete test block on the reference plane are automatically located, and the number of projected outlines is counted using a counting algorithm. Finally, this count is directly output as the calculation result, thus obtaining the number of test blocks.

[0041] Furthermore, the key operational behaviors include concrete pouring, vibration operation, and construction personnel operation behaviors.

[0042] Therefore, this setup enables targeted identification and monitoring of core processes such as concrete material delivery, compaction, and standardized personnel operation. Compared to the fragmented supervision method of manual on-site inspection, it can effectively eliminate the problem of missed inspections caused by the distraction of supervisors or blind spots.

[0043] Furthermore, the real-time monitoring method for concrete pouring process provided by the present invention further includes: determining whether the quality of concrete corresponding to the concrete batch number is abnormal based on the slump information and / or the number of test blocks, and generating alarm information when the quality of the concrete is determined to be abnormal.

[0044] Therefore, this setup can eliminate the problem of slump deviation or insufficient test block retention caused by human negligence, ensuring that managers can learn about the specific situation through the alarm information as soon as a quality abnormality occurs, preventing concrete that does not meet the workability requirements from being poured into the formwork, and preventing the lack of effective test samples for the later structural strength assessment due to insufficient test block quantity.

[0045] For further information, please refer to the following: Figure 3 ,like Figure 3 As shown, the monitoring method further includes: determining whether there is any illegal construction behavior during the concrete pouring process based on the key operation behavior information, and generating alarm information when it is determined that there is illegal construction behavior.

[0046] Therefore, this setup enables real-time automatic identification and location of illegal construction activities, facilitating timely warnings when such activities occur and reducing the risk to concrete quality caused by improper human operation.

[0047] Specifically, the system first invokes an artificial intelligence (AI) recognition model, using image recognition algorithms to dynamically analyze the input video of the concrete pouring site. This captures and identifies the concrete pouring process, vibration operation status, and the specific actions of the construction workers in real time. Subsequently, the AI ​​recognition model performs logical comparison and analysis based on the extracted temporal actions and scene features to determine if at least one violation exists in the current construction scenario, such as arbitrarily adding water to the concrete or inadequate vibration. Finally, if any of these violations are detected, an abnormal event record is generated, and an alarm message is pushed to the designated user terminal.

[0048] Based on the same inventive concept, this invention also provides a real-time monitoring system for the concrete pouring process; please refer to [reference needed]. Figure 4 ,like Figure 4As shown, the monitoring system includes: a construction plan management module 1, configured to acquire the concrete pouring plan input by the user before concrete pouring construction, and generate corresponding construction task data based on the concrete pouring plan; a data acquisition module 2, configured to acquire concrete transport ticket images after concrete transport vehicles enter the site, acquire slump test videos during concrete construction, acquire test block making images during test block making, and acquire pouring site videos during concrete pouring; a site detection and identification module 3, configured to: identify the concrete transport ticket images and generate corresponding concrete batch number information, and associate the concrete batch number information with the construction task data; identify the slump test videos to obtain slump information, and associate the slump information with the corresponding concrete batch number information; identify the test block making images to obtain test block quantity information, and associate the test block quantity information with the corresponding concrete batch number information; and a construction behavior identification module 4, configured to: identify the pouring site videos to obtain key operation behavior information, and associate the key operation behavior information with the corresponding concrete batch number information.

[0049] Therefore, compared with the traditional method of relying on manual recording and experience-based management, the real-time monitoring system for concrete pouring process provided by this invention realizes the automatic collection of concrete construction quality data and the correlation of concrete batches through multiple modules, which significantly improves data accuracy, management efficiency and quality traceability.

[0050] For further information, please refer to the following: Figure 4 ,like Figure 4 As shown, the real-time monitoring system for concrete pouring process provided by the present invention further includes: a data processing module 5, configured to generate a concrete pouring on-site monitoring record based on the construction task data, the concrete batch number information, the slump information, the test block quantity information, and the key operation behavior information; and a supervision management platform 6, configured to display the concrete pouring on-site monitoring record.

[0051] Therefore, by automatically linking and integrating construction task data, concrete batch number information, slump information, test block quantity information, and key operation behavior information, a concrete pouring on-site supervision record is directly generated. This replaces the manual copying, summarizing, and paper-based reporting methods used by supervisors, eliminating information mismatches and incomplete records caused by scattered data sources, memory biases, or handover omissions during manual data collection. This ensures that the on-site supervision record accurately corresponds to the actual construction process, quality inspection data, and batch information. Furthermore, the data is displayed through the supervision management platform, allowing supervisors to intuitively grasp the entire process data of each batch of concrete construction quality.

[0052] Furthermore, before concrete pouring, the construction unit submits a concrete pouring plan to the construction plan management module 1, including information such as the pouring location, concrete strength grade, planned pouring time, and estimated pouring volume. The construction plan management module 1 records the concrete pouring plan and generates corresponding construction task data, providing basic information for subsequent concrete arrival and construction data management.

[0053] When concrete arrives on site, construction workers upload images of concrete transport receipts. The on-site detection and recognition module 3 automatically recognizes the information in the concrete transport receipt image and generates a unique batch number. The data processing module 5 then associates this concrete batch number with the construction task data.

[0054] During construction, for batches requiring slump testing, on-site personnel film test videos, and the on-site detection and identification module 3 automatically identifies and records the slump information; on-site personnel film images of test block fabrication, and the on-site detection and identification module 3 automatically identifies and records the number of test blocks; data acquisition module 2 and construction behavior identification module 4 monitor the pouring operation surface in real time and immediately alarm when violations are detected.

[0055] After construction is completed, data processing module 5 automatically collects all data, compares it with preset rules, generates on-site records, and forms a complete construction archive, which can be traced and queried by supervisors at any time.

[0056] For further details, please refer to... Figure 5 ,like Figure 5 As shown, the data acquisition module 2 includes a mobile terminal 201 and a camera 202. The mobile terminal 201 is used to acquire images of the concrete transport ticket, videos of the slump test, and images of the test block fabrication. The camera 202 is used to acquire videos of the pouring site.

[0057] Therefore, this setup eliminates the need for manual paper records or additional dedicated data collection equipment, improving the convenience, real-time nature, and end-to-end coverage of quality data collection. Specifically, the mobile terminal 201 can be a mobile phone or tablet computer.

[0058] For further details, please refer to... Figure 6 ,like Figure 6 As shown, the on-site detection and recognition module 3 includes an optical character recognition unit 301, a slump recognition unit 302, and a test block recognition unit 303. The optical character recognition unit 301 is used to extract information from the concrete transport ticket image and generate a concrete batch number; the slump recognition unit 302 is used to recognize slump information from the slump test video; and the test block recognition unit 303 is used to recognize the number of test blocks from the test block manufacturing image.

[0059] Therefore, this setup can replace manual data entry, visual reading, and manual counting, enabling automated collection and structured extraction of concrete arrival information, slump information, and test block quantity information. This reduces human error in recording and subjective judgment bias, and improves the accuracy and objectivity of quality data collection.

[0060] Furthermore, after the concrete transport vehicles arrive on site, construction personnel upload the concrete transport ticket and mix proportion information via mobile terminal 201. Optical character recognition unit 301 identifies the information on the concrete transport ticket using optical character recognition technology and automatically generates the corresponding concrete batch number. During concrete construction, the system automatically prompts for concrete batches requiring slump testing according to preset rules in the construction specifications. On-site testing personnel use mobile terminal 201 to record video of the slump test process, and slump recognition unit 302 automatically identifies the slump measurement results. When test block production is underway, on-site personnel use mobile terminal 201 to film the test block production process, and test block recognition unit 303 automatically identifies the number of test blocks produced.

[0061] For further details, please refer to... Figure 7 ,like Figure 7 As shown, the construction behavior recognition module 4 includes an AI behavior analysis unit 401 with a built-in construction behavior recognition model and an alarm unit 402. The AI ​​behavior analysis unit 401 is used to identify illegal construction behavior, and the alarm unit 402 is configured to send an alarm signal to the supervision and management platform 6 when illegal construction behavior is found in the video of the pouring site.

[0062] Therefore, this setup can eliminate the subjective blind spots and insufficient time coverage of manual supervision, and realize real-time automated monitoring of the construction process. When the alarm unit 402 detects illegal construction behavior, it automatically sends an alarm signal to the supervision and management platform 6, thereby eliminating the need for manual discovery and hierarchical reporting, shortening the response chain for abnormal events, and improving the timeliness of detection and the accuracy of early warning of illegal construction behavior.

[0063] Furthermore, cameras 202 of the data acquisition module 2 are deployed at the construction site to capture real-time images of the concrete pouring process. The captured image data is transmitted in real-time to the AI ​​server of the AI ​​behavior analysis unit 401 for analysis and processing. The AI ​​server has a built-in artificial intelligence (AI) recognition model, which identifies key operational behaviors during the construction process through image recognition algorithms, including concrete pouring, vibration operations, and the operational behaviors of construction personnel. When illegal construction behaviors are identified (such as adding water to the concrete at will or inadequate vibration during construction), abnormal event information is automatically generated and an alarm is issued to relevant management personnel through the supervision and management platform 6.

[0064] Furthermore, the data processing module 5 is also configured to push a quality anomaly prompt to the supervision and management platform 6 when the slump value is not within the preset slump range and / or the number of test blocks produced is not within the preset number of test blocks produced.

[0065] Therefore, when the slump value exceeds the preset slump range, concrete that does not meet the construction requirements can be promptly intercepted from being poured into the formwork. When the number of test blocks produced is lower than the preset threshold, the distortion of the structural strength assessment caused by excessive or insufficient test samples in the later stage can be avoided.

[0066] Furthermore, the supervision management platform 6 includes a data display interface and a site observation record display unit, which are used to view construction tasks, entry records, test results, and violation records; the site observation record display unit is used to display site observation records and supports downloading.

[0067] Furthermore, the real-time monitoring system for concrete pouring process provided by the present invention also includes a supervision terminal 7, which is used to receive alarm information pushed by the supervision management platform 6.

[0068] Compared with the prior art, the real-time monitoring method and system for concrete pouring process provided by the present invention has the following beneficial effects:

[0069] The real-time monitoring method for concrete pouring provided by this invention identifies and generates concrete batch number information by acquiring and recognizing images of concrete transport tickets, acquiring and recognizing slump test videos to obtain slump information, and acquiring and recognizing test block preparation images to obtain test block quantity information. This method can replace manual visual readings, manual recording, and manual counting, thereby reducing human error and improving the accuracy of slump data acquisition. Simultaneously, by automatically recognizing the number of test blocks, it avoids problems of insufficient or disordered test block placement, ensuring that the test blocks accurately reflect the quality of the corresponding batch of concrete and improving the representativeness of the test results. Furthermore, by associating concrete batch number information with construction task data, and associating slump information, test block quantity information, and key operational behavior information with concrete batch number information respectively, this invention enables full-process association and traceability management of concrete quality data, improving the controllability of quality management and providing data support for subsequent statistical analysis and quality assessment, thus enhancing centralized data management and analysis capabilities.

[0070] Since the real-time monitoring system for concrete pouring process provided by this invention and the real-time monitoring method for concrete pouring process provided by this invention belong to the same inventive concept, the real-time monitoring system for concrete pouring process provided by this invention has at least all the beneficial effects of the real-time monitoring method for concrete pouring process provided by this invention. For details, please refer to the relevant description above. Therefore, the beneficial effects of the real-time monitoring system for concrete pouring process provided by this invention will not be elaborated here.

[0071] The above description is only a description of the preferred embodiments of the present invention and is not intended to limit the scope of the present invention in any way. Any changes or modifications made by those skilled in the art based on the above disclosure shall fall within the protection scope of the present invention.

Claims

1. A method for real-time monitoring of the concrete pouring process, characterized in that, The method includes: Before concrete pouring, the concrete pouring plan input by the user is obtained, and corresponding construction task data is generated based on the concrete pouring plan. After the concrete transport vehicles arrive at the site, images of concrete transport receipts are captured, the concrete transport receipt images are identified, and corresponding concrete batch number information is generated. The concrete batch number information is then associated with the construction task data. During concrete construction, slump test videos are collected and identified to obtain slump information, which is then associated with the corresponding concrete batch number information. During the test block production process, test block production images are captured and the test block production images are identified to obtain test block quantity information, and the test block quantity information is associated with the corresponding concrete batch number information. During the concrete pouring process, video of the pouring site is collected and identified to obtain key operational behavior information, and the key operational behavior information is associated with the corresponding concrete batch number information.

2. The real-time monitoring method for concrete pouring process as described in claim 1, characterized in that, The monitoring method also includes: Based on the construction task data, the concrete batch number information, the slump information, the test block quantity information, and the key operation behavior information, a concrete pouring on-site monitoring record is generated.

3. The real-time monitoring method for concrete pouring process as described in claim 1, characterized in that, The process of recognizing the concrete transport ticket image includes: Optical character recognition technology is used to identify the concrete transport ticket image to obtain the full text containing the original arrival information of the corresponding batch of concrete.

4. The real-time monitoring method for concrete pouring process as described in claim 1, characterized in that, The step of identifying the slump test video to obtain slump information includes: Image recognition algorithms were used to identify the image frames in the slump test video to identify the slump cone and the concrete pile. A reference horizontal plane is determined based on the top edge of the slump cone; Based on the concrete pile, locate the highest point of the collapsed concrete; Calculate the vertical height difference between the highest point and the reference horizontal plane to obtain the slump information.

5. The real-time monitoring method for concrete pouring process as described in claim 1, characterized in that, The step of recognizing the image of the prepared test block to obtain the number of test blocks includes: An image recognition algorithm is used to identify the test block fabrication image to identify the test block support platform and the concrete test block; A reference plane is determined based on the edge of the test block's support platform. Locate the projected outline of each concrete test block on the reference plane; The number of projected contours is counted to obtain the number of test blocks.

6. The real-time monitoring method for concrete pouring process as described in claim 1, characterized in that, The key operational behaviors include concrete pouring, vibration operation, and construction personnel operation.

7. The real-time monitoring method for concrete pouring process as described in claim 1, characterized in that, The monitoring method also includes: Based on the slump information and / or the number of test blocks, determine whether the quality of the concrete corresponding to the batch number is abnormal, and generate an alarm message when the quality of the concrete is determined to be abnormal.

8. The method for real-time monitoring of the concrete pouring process as described in claim 1, characterized in that, The monitoring method also includes: Based on the key operational behavior information, it is determined whether there are any violations during the concrete pouring process, and an alarm message is generated when it is determined that there are violations.

9. A real-time monitoring system for concrete pouring process, characterized in that, include: The construction plan management module is configured to obtain the concrete pouring plan input by the user before the concrete pouring construction, and generate corresponding construction task data based on the concrete pouring plan. The data acquisition module is configured to acquire images of concrete transport receipts after concrete transport vehicles arrive on site, acquire slump test videos during concrete construction, acquire images of test block production during test block production, and acquire videos of the concrete pouring site during concrete pouring. The on-site detection and recognition module is configured to: recognize the concrete transport ticket image and generate corresponding concrete batch number information, and associate the concrete batch number information with the construction task data; recognize the slump test video to obtain slump information, and associate the slump information with the corresponding concrete batch number information; and recognize the test block fabrication image to obtain test block quantity information, and associate the test block quantity information with the corresponding concrete batch number information. as well as The construction behavior recognition module is configured to: recognize the video of the pouring site to obtain key operation behavior information, and associate the key operation behavior information with the corresponding concrete batch number information.

10. The real-time monitoring system for concrete pouring process as described in claim 9, characterized in that, Also includes: The data processing module is configured to generate a concrete pouring on-site monitoring record based on the construction task data, the concrete batch number information, the slump information, the test block quantity information, and the key operation behavior information. as well as The supervision management platform is configured to display the on-site records of the concrete pouring.

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