Concrete pouring formwork monitoring method, equipment and medium

Abstract

The invention discloses a concrete pouring formwork monitoring method and device and a medium, and the method comprises the steps that a plurality of transparent formwork units are spliced through concave-convex embedded groove structures arranged on the edges of the transparent formwork units, and a pouring formwork is obtained; in the concrete pouring process of the pouring formwork, concrete pouring images of continuous frames are collected, and the flowing filling state of concrete is determined according to the real-time displacement amount of the concrete in the concrete pouring images; collecting state parameters corresponding to different sampling points of the pouring formwork according to a preset collection interval through a sensor arranged on the pouring formwork; wherein the state parameters comprise a temperature value, a pressure value and a humidity value; calculating a risk factor value corresponding to the preset risk factor according to the state parameters, and determining a risk coefficient of the pouring formwork in the current construction stage according to the risk factor value; and according to the risk coefficient and the flow filling state, state early warning is conducted on the pouring formwork.

Description

Technical Field

[0001] This application relates to the field of building construction technology, specifically to a method, equipment, and medium for monitoring concrete pouring formwork. Background Technology

[0002] In the field of construction engineering, concrete pouring is a critical construction step, and its quality and safety have a decisive impact on the overall performance of the building. Currently, traditional concrete formwork generally uses opaque wooden or steel formwork, which prevents construction workers from visually observing the filling state of the concrete inside the formwork. This makes it difficult to detect pouring defects such as honeycomb and voids in advance, resulting in high rework costs. Furthermore, most construction sites rely on manual experience to judge the pressure of the formwork, making it difficult to provide timely warnings of risks such as formwork deformation and concrete temperature cracks. Summary of the Invention

[0003] To address the aforementioned problems, this application proposes a method for monitoring concrete pouring formwork, comprising: Several transparent template units are spliced ​​together using the interlocking groove structure set on their edges to obtain the casting formwork; During the concrete pouring process of the casting formwork, continuous frames of concrete pouring images are acquired, and the flow and filling state of the concrete is determined based on the real-time displacement of the concrete in the concrete pouring images. Using sensors installed on the casting formwork, state parameters corresponding to different sampling points of the casting formwork are collected at preset sampling intervals; wherein, the state parameters include temperature value, pressure value and humidity value; Based on the state parameters, calculate the risk factor value corresponding to the preset risk factor, and determine the risk coefficient of the pouring formwork in the current construction stage based on the risk factor value. Based on the risk coefficient and the flow filling state, a status warning is issued for the casting formwork.

[0004] In one implementation of this application, the flow and filling state of the concrete is determined based on the real-time displacement of the concrete in the concrete pouring image, specifically including: The concrete pouring image is divided into several monitoring areas. Feature points in the continuous frames of concrete pouring images are located. Based on the position changes of the feature points, the real-time displacement of the concrete in the monitoring area is determined. The flow and filling state of the concrete is determined based on the relationship between the real-time displacement and the preset displacement, as well as the difference between the maximum and minimum displacement corresponding to the feature points within the monitoring area.

[0005] In one implementation of this application, the flow and filling state of the concrete is determined based on the relationship between the real-time displacement and the preset displacement, and the difference between the maximum and minimum displacements corresponding to feature points within the monitoring area. Specifically, this includes: If the real-time displacement is less than the preset displacement and continues for a preset number of frames, the flow filling state of the concrete is determined to be a stagnant state. If the difference between the maximum and minimum displacement values ​​corresponding to the feature points within the monitoring area is greater than a preset displacement threshold, the flow and filling state of the concrete is determined to be a segregation state.

[0006] In one implementation of this application, feature points in consecutive frames of concrete pouring images are located, and the real-time displacement of the concrete in the monitoring area is determined based on the positional changes of the feature points. Specifically, this includes: The concrete pouring image is processed into grayscale, and for any frame of the concrete pouring image after grayscale processing, the feature points in the concrete pouring image are determined. In the next frame of the concrete pouring image corresponding to the concrete pouring image, the adjacent region where the feature point is located is determined, and the pixels contained in the adjacent region are used as candidate points corresponding to the feature point. Calculate the squared difference of pixel values ​​between the candidate points and the feature points, and take the candidate point with the smallest squared difference of corresponding pixel values ​​as the next feature point corresponding to the feature point. Based on the positional change between the feature point and the next feature point, the real-time displacement of the concrete in the monitoring area is determined.

[0007] In one implementation of this application, determining the real-time displacement of the concrete in the monitoring area based on the positional change between the feature point and the next feature point specifically includes: Based on the positional change between the feature point and the next feature point, determine the point displacement corresponding to the feature point; For each feature point in the monitoring area, the median value of the displacement is selected as the real-time displacement of the concrete in the monitoring area.

[0008] In one implementation of this application, calculating the risk factor value corresponding to the preset risk factor based on the state parameter specifically includes: Preset risk factors include pressure risk factor, temperature deformation factor, and humidity deformation factor; The first risk factor value corresponding to the pressure risk factor is determined based on the ratio between the pressure value and the pressure limit value. Based on the temperature difference and sampling distance between adjacent sampling points, the temperature gradient corresponding to the concrete is determined, and the sum of the product between the temperature gradient and the linear expansion coefficient of the concrete and the elastic modulus corresponding to the concrete is calculated to determine the second risk factor value corresponding to the temperature deformation factor. Based on the humidity difference between adjacent sampling points and the sampling distance, the humidity gradient corresponding to the concrete is determined, and the product of the humidity gradient, the humidity deformation coefficient and the elastic modulus is calculated to determine the value of the third risk factor corresponding to the humidity deformation factor.

[0009] In one implementation of this application, determining the risk coefficient of the cast-in-place formwork in the current construction stage based on the risk factor value specifically includes: Based on the current construction phase, determine the risk weights corresponding to each preset risk factor; Based on the risk weights, the first risk factor value, the second risk factor value, and the third risk factor value are weighted and summed to obtain the risk coefficient of the casting formwork in the current construction stage.

[0010] In one implementation of this application, a status warning is provided for the cast-in-place formwork based on the risk coefficient and the flow filling state, specifically including: If the risk coefficient is greater than the first risk threshold and the flow filling state is a stagnant state or a segregation state, a status warning is issued for the casting formwork. If the risk coefficient is not greater than the first risk threshold and is greater than the second risk threshold, construct a three-dimensional model corresponding to the casting formwork. Based on the mapping relationship between the three-dimensional model and the casting formwork, a casting simulation experiment is conducted on the three-dimensional model to determine the predicted risk coefficient corresponding to the casting formwork through the output simulation state parameters. If the difference between the risk coefficient and the predicted risk coefficient is less than a preset deviation value, and the flow filling state is a stagnant state or a segregation state, a status warning is issued for the casting formwork.

[0011] This application provides a concrete pouring formwork monitoring device, the device comprising: At least one processor; And, a memory communicatively connected to the at least one processor; The memory stores instructions that can be executed by the at least one processor, which are executed by the at least one processor to enable the at least one processor to perform a concrete pouring formwork monitoring method as described in any of the preceding claims.

[0012] This application provides a non-volatile computer storage medium storing computer-executable instructions, wherein the computer-executable instructions are configured as follows: A method for monitoring concrete pouring formwork as described in any of the preceding items.

[0013] The concrete pouring formwork monitoring method proposed in this application can bring the following beneficial effects: The casting formwork, constructed from interconnected transparent template units, allows construction workers to directly observe the filling state of the concrete inside the formwork, effectively avoiding the problem of defects being difficult to detect in advance due to opaque formwork. Simultaneously, combining real-time displacement data from concrete pouring images to determine the flow and filling status improves the accuracy of the identification results. Sensors are used to collect temperature, pressure, and humidity parameters at different sampling points of the casting formwork in real time. By calculating the risk factor values ​​corresponding to preset risk factors, the risk coefficient of the casting formwork at the current construction stage can be determined. This enables timely status warnings for the casting formwork, effectively preventing risks such as formwork deformation and concrete temperature cracks, reducing subsequent rework costs, and improving construction safety and quality reliability. Attached Figure Description

[0014] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings: Figure 1 A flowchart illustrating a method for monitoring concrete pouring formwork, provided in an embodiment of this application; Figure 2 This is a structural schematic diagram of a concrete pouring formwork monitoring device provided in an embodiment of this application. Detailed Implementation

[0015] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be clearly and completely described below in conjunction with specific embodiments and corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0016] The technical solutions provided by the various embodiments of this application are described in detail below with reference to the accompanying drawings.

[0017] like Figure 1 As shown in the embodiment of this application, a method for monitoring concrete pouring formwork includes: S101: Several transparent template units are spliced ​​together by the concave and convex interlocking groove structure set on their edges to obtain the casting formwork.

[0018] This application uses high-transmittance polycarbonate composite panels as the main formwork material. Unlike traditional formwork, this material has high light transmittance, clearly showing the flow of concrete inside the formwork. The panel has a bending strength of 110 MPa and an impact strength of 80 kJ / m², meeting the requirements for pouring lateral pressure and vibration load. Its weather resistance range is -40℃ to 120℃. Each formwork unit has a grooved edge structure with EPDM rubber sealing strips embedded within, forming a double leak-proof structure. Adjacent formwork units are fixed with quick-release clips. These clips allow several transparent formwork units to be joined together using the grooved edges to form the pouring formwork. This temporary formwork structure bears the lateral pressure and weight of the newly poured concrete, ensuring that the concrete maintains its designed shape and dimensions during pouring and setting.

[0019] S102: During the concrete pouring process of the formwork, continuous frames of concrete pouring images are acquired, and the flow and filling state of the concrete is determined based on the real-time displacement of the concrete in the concrete pouring images.

[0020] After constructing the casting formwork, concrete needs to be poured into the formwork to fill the space enclosed by it, thereby forming the required structural components. During the pouring process, in order to ensure that the concrete can fill the entire formwork space, the flow and filling state of the concrete needs to be monitored in real time to determine whether the concrete can spread evenly in all directions and achieve the expected construction quality standards.

[0021] The transparent formwork structure facilitates real-time monitoring of concrete flow by construction personnel. To further improve the accuracy of the status recognition results, multiple cameras need to be installed around the formwork. During concrete pouring, these cameras capture continuous frames of concrete pouring images. By analyzing these images, the changes in the position and shape of the concrete within the formwork over time can be observed—that is, analyzing the displacement of the concrete relative to its initial position or other reference points at different time points. The real-time displacement of the concrete allows for the assessment of its flow and filling status. If the displacement meets expectations, it indicates smooth concrete flow and effective filling of the space within the formwork according to construction requirements. Conversely, discrepancies may affect structural quality, requiring construction personnel to promptly adjust pouring speed, vibration methods, and other measures to ensure the concrete evenly fills the interior of the formwork.

[0022] In one embodiment, the concrete pouring image is divided into several monitoring areas to allow for more detailed and precise monitoring and analysis of the concrete flow. Feature points in consecutive frames of the concrete pouring image are located. These feature points are representative and easily identifiable points in the concrete pouring image, such as protruding points, edge points, or points in contact with the formwork on the concrete surface. Based on the positional changes of these feature points, the real-time displacement of the concrete in the monitoring area is determined. This real-time displacement reflects the concrete flow during the pouring process. Therefore, based on the relationship between the real-time displacement and the preset displacement, as well as the difference between the maximum and minimum displacements corresponding to the feature points within the monitoring area, the flow and filling state of the concrete can be determined.

[0023] Specifically, the preset displacement is a standard displacement value pre-set based on the normal flow and filling conditions of concrete. It reflects the distance that concrete should flow per unit time under ideal conditions. It can be determined based on factors such as the concrete mix design, pouring speed requirements, and formwork dimensions. Comparing the real-time displacement with the preset displacement, if the real-time displacement is greater than or equal to the preset displacement, it indicates that the concrete flow within the monitored area is good and filling the formwork space according to the expected schedule. Conversely, if the real-time displacement is less than the preset displacement, it may mean that there is obstruction to concrete flow or that the pouring speed is too slow. Therefore, if the real-time displacement is less than the preset displacement for a set number of frames, it indicates that the concrete flow is slow, and the concrete is in a stagnant state. Stagnation means that the flow of concrete within the formwork has stopped or slowed significantly. When concrete is in a stagnant state, the space within the formwork cannot be filled in a timely and effective manner, easily leading to uneven concrete distribution and voids. It should be noted that the concrete is judged to be in a stagnant state only when the real-time displacement is determined to be less than the preset displacement in a continuous number of frames. This can avoid misjudgment caused by accidental factors (such as interference at the moment of image acquisition, or brief fluctuations in the flow of concrete).

[0024] The difference between the maximum and minimum displacement values ​​corresponding to feature points within the monitoring area reflects the uniformity of concrete flow within that area. A small difference indicates relatively uniform concrete flow across the monitoring area, resulting in good filling. A large difference indicates uneven concrete flow, potentially with some locations flowing too quickly while others flow slowly or even stagnate. The preset displacement threshold is a pre-set difference standard based on construction quality standards and concrete performance requirements. Therefore, when the difference between the maximum and minimum displacement values ​​exceeds the preset threshold, the concrete flow and filling state is determined to be segregation. Segregation refers to the phenomenon where the internal components of concrete separate during flow. In concrete pouring images, segregation manifests as an uneven concrete surface, obvious layers or cracks, and significant differences in displacement values ​​between feature points in different areas. Due to the non-uniformity of concrete composition, segregation leads to a decrease in the structure's strength, durability, and impermeability.

[0025] In one embodiment, before calculating the real-time displacement of the concrete, the concrete pouring image first needs to be processed into grayscale. For any frame of the concrete pouring image after grayscale processing, feature points are identified. Since the concrete is constantly flowing, the position of the feature points will change in the next frame. To determine the new position of the feature points, it is necessary to determine the adjacent region of the feature point in the next frame. This adjacent region includes the possible locations where the feature point may have moved. Generally, different window sizes can be defined as the adjacent region of the feature point, for example... , The feature point is the regional center of the adjacent region.

[0026] All pixels within a neighboring region are candidate points that the feature point might match in the next frame. For each candidate point, the squared difference of pixel values ​​between the candidate point and the feature point is calculated. The candidate point with the smallest squared difference of pixel values ​​has a grayscale value most similar to the current feature point. This candidate point is then the next feature point corresponding to the current feature point in the next frame of the concrete pouring image. Thus, based on the positional change between the feature point and the next feature point, the real-time displacement of the concrete in the monitored area can be calculated.

[0027] It should be noted that in concrete flow monitoring, some feature points may exhibit displacements significantly different from those of most feature points due to interference or other anomalies. These abnormal displacements can substantially affect the average value and other statistical quantities. Therefore, after calculating the positional changes of all feature points and their next corresponding feature points within the monitoring area to obtain the displacement for each feature point, a representative value needs to be selected from these displacements as the real-time displacement of the concrete within the monitoring area. In this embodiment, the median displacement is selected as the real-time displacement. The median is unaffected by extreme values, and using it as the real-time displacement more accurately reflects the overall concrete flow within the monitoring area.

[0028] S103: Using sensors installed on the casting formwork, the state parameters corresponding to different sampling points of the casting formwork are collected at preset collection intervals; among which, the state parameters include temperature value, pressure value and humidity value.

[0029] In addition to considering the potential for uneven concrete filling during pouring, it's also necessary to consider whether the pressure exerted by the concrete on the formwork is excessive, thus preventing safety accidents such as deformation of the concrete formwork. Therefore, sensors installed on the pouring formwork are required to collect state parameters at different sampling points according to preset collection intervals. These state parameters include temperature, pressure, and humidity values. The sensors include pressure sensors, temperature sensors, and humidity sensors. Miniature pressure sensors are used, arranged at 60cm horizontal and 50cm vertical intervals inside the formwork, avoiding joints. Armored thermocouples are used for temperature, with three sensors deployed per cubic meter of concrete, covering the center, surface, and junctions of the poured body. Polymer humidity sensors are used, with two sensors deployed per formwork unit, located at the top and bottom edges. It should be noted that the sampling frequency of state parameters will vary at different construction stages. During the pouring period, the concrete state is unstable, requiring a higher sampling frequency compared to the curing period. Generally, the sampling frequency is 1 time / second during the pouring period and 1 time / minute during the curing period.

[0030] S104: Calculate the risk factor value corresponding to the preset risk factor based on the state parameters, and determine the risk coefficient of the pouring formwork in the current construction stage based on the risk factor value.

[0031] The preset risk factors include pressure risk factor, temperature deformation factor and humidity deformation factor. After the state parameters are collected, the risk factor values ​​corresponding to the preset risk factors at different sampling times need to be calculated in real time according to the state parameters of the concrete. Then, the risk factor values ​​of all preset risk factors are comprehensively considered to fully evaluate the risk coefficient of the pouring formwork in the current construction stage.

[0032] In one embodiment, the risk factor values ​​corresponding to each preset risk factor are calculated as follows: First, the first risk factor value corresponding to the pressure risk factor is determined based on the ratio between the pressure value and the pressure limit value. Then, the temperature gradient corresponding to the concrete is determined based on the temperature difference between adjacent sampling points and the sampling distance. The temperature gradient represents the rate of temperature change per unit distance within the concrete. The second risk factor value corresponding to the temperature deformation factor is determined by summing the product of the temperature gradient and the linear expansion coefficient of the concrete with the elastic modulus of the concrete. The linear expansion coefficient of the concrete is the amount of expansion or contraction per unit length of concrete when the temperature changes by 1°C, and can typically be taken as... / ℃, the elastic modulus represents the ratio of stress to strain in concrete during the elastic deformation stage, reflecting the material's ability to resist deformation, and its range is typically 25-40 GPa. Finally, based on the humidity difference between adjacent sampling points and the sampling distance, the humidity gradient corresponding to the concrete is determined, and the product of the humidity gradient, humidity deformation coefficient, and elastic modulus is calculated to determine the value of the third risk factor corresponding to the humidity deformation factor. The humidity deformation coefficient is the shrinkage per unit length of concrete when the relative humidity decreases by 1%, typically taken as 1.0 μm / m / %RH.

[0033] After calculating the risk factor value for each risk factor, the risk weight for each preset risk factor needs to be determined based on the current construction stage. In the early stages of concrete pouring, the weight of the pressure risk factor may be higher because the formwork and support structure bear greater pressure at this stage, making the impact of pressure risk on construction safety more direct and significant. In the middle stages of pouring, the weights of the temperature deformation factor and the humidity deformation factor may increase because the impact of temperature and humidity changes on quality is more pronounced at this time. The weight allocation can be based on past construction experience, engineering case analysis, and relevant standards and specifications; this application does not impose any restrictions on this. After obtaining the risk weights, the first, second, and third risk factor values ​​are weighted and summed according to the risk weights to obtain the risk coefficient of the formwork pouring at the current construction stage.

[0034] S105: Provide early warning of the casting formwork status based on the risk coefficient and the flow filling state.

[0035] Based on the flow and filling status and risk factor of concrete during real-time pouring, a status warning is issued for the pouring formwork to remind construction personnel to take appropriate measures to ensure the quality and safety of concrete pouring.

[0036] Specifically, if the risk coefficient is greater than the first risk threshold and the flow filling state is in a stagnant or segregated state, it indicates that the construction process may face a high risk. In this case, a status warning will be issued directly for the pouring and formwork.

[0037] The second risk threshold, lower than the first risk threshold, is used to distinguish between low and medium risk levels. When the risk coefficient is no greater than the first risk threshold but greater than the second risk threshold, there may be some risk in the concrete pouring process. In this case, to reduce the probability of misjudgment, a secondary verification of the risk situation is needed through simulation. First, a 3D model corresponding to the pouring formwork needs to be constructed. Then, based on the mapping relationship between the 3D model and the pouring formwork, a pouring simulation experiment is conducted on the 3D model. The predicted risk coefficient corresponding to the pouring formwork is determined through the output simulation state parameters. If the difference between the risk coefficient and the predicted risk coefficient is less than the preset deviation value, and the flow filling state is a stagnant or segregated state, it indicates that the risk change verified by the simulation is consistent with the actual concrete state. In this case, a state warning for the pouring formwork is needed so that construction personnel can adjust construction strategies and resource allocation in a timely manner, addressing potential risks by adjusting the pouring sequence, changing the vibration method, and adding supports.

[0038] It should be noted that the template coating used in this embodiment is a fluorosilicone modified nano-silica coating with a thickness of 5-10 μm, a surface roughness Ra≤0.2 μm, a water contact angle≥155°, and a diesel contact angle≥ It has a surface energy of 12 mN / m and a bonding strength of 5 MPa with a polycarbonate substrate. The template's inner and outer surfaces are fully covered, and the rubber sealing strip is coated with a 3-5 μm layer of the same material, maintaining elasticity while preventing sticking. Simultaneously, the template surface is laser-etched to form a regular array of micron-sized protrusions (10-20 μm high, 50-100 μm spacing), which, in synergy with the nano-coating, enhances hydrophobicity, causing the concrete slurry to form discontinuous droplets.

[0039] Based on the design of the nano-coating and microstructure, the adhesion of the formwork is significantly reduced, making it easier to clean. Regarding the cleaning process, firstly, a 0.5% surfactant aqueous solution is sprayed within 30 minutes after pouring to pre-clean the formwork. Then, a fan-shaped nozzle is used to perform high-pressure rinsing of the formwork. After these two rinsing steps, a nano-coated brush head electric cleaning machine is used for deep cleaning of the formwork. This process of pre-cleaning, high-pressure rinsing, and deep cleaning effectively improves the turnover efficiency of the formwork.

[0040] The above are embodiments of the methods proposed in this application. Based on the same idea, some embodiments of this application also provide devices and non-volatile computer storage media corresponding to the above methods.

[0041] Figure 2 This is a structural schematic diagram of a concrete pouring formwork monitoring device provided in an embodiment of this application. Figure 2 As shown, it includes: At least one processor; and, At least one processor-communication-connected memory; wherein, The memory stores instructions that can be executed by at least one processor, such that the at least one processor is able to perform a concrete pouring formwork monitoring method as described in any of the preceding claims.

[0042] This application provides a non-volatile computer storage medium storing computer-executable instructions, which are configured as follows: A method for monitoring concrete pouring formwork as described in any of the preceding items.

[0043] The various embodiments in this application are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the device and medium embodiments are basically similar to the method embodiments, so the description is relatively simple; relevant parts can be referred to the description of the method embodiments.

[0044] The devices and media provided in this application are one-to-one with the methods. Therefore, the devices and media also have similar beneficial technical effects as their corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the devices and media will not be repeated here.

[0045] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0046] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0047] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0048] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0049] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0050] Memory may include non-persistent storage in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0051] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0052] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0053] The above description is merely an embodiment of this application and is not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. A method for monitoring concrete pouring formwork, characterized in that, The method includes: Several transparent template units are spliced ​​together using the interlocking groove structure set on their edges to obtain the casting formwork; During the concrete pouring process of the casting formwork, continuous frames of concrete pouring images are acquired, and the flow and filling state of the concrete is determined based on the real-time displacement of the concrete in the concrete pouring images. Using sensors installed on the casting formwork, state parameters corresponding to different sampling points of the casting formwork are collected at preset sampling intervals; wherein, the state parameters include temperature value, pressure value and humidity value; Based on the state parameters, calculate the risk factor value corresponding to the preset risk factor, and determine the risk coefficient of the pouring formwork in the current construction stage based on the risk factor value. Based on the risk coefficient and the flow filling state, a status warning is issued for the casting formwork.

2. The method for monitoring concrete pouring formwork according to claim 1, characterized in that, Based on the real-time displacement of the concrete in the concrete pouring image, the flow and filling state of the concrete is determined, specifically including: The concrete pouring image is divided into several monitoring areas. Feature points in the continuous frames of concrete pouring images are located. Based on the position changes of the feature points, the real-time displacement of the concrete in the monitoring area is determined. The flow and filling state of the concrete is determined based on the relationship between the real-time displacement and the preset displacement, as well as the difference between the maximum and minimum displacement corresponding to the feature points within the monitoring area.

3. The method for monitoring concrete pouring formwork according to claim 2, characterized in that, Based on the relationship between the real-time displacement and the preset displacement, and the difference between the maximum and minimum displacements corresponding to feature points within the monitoring area, the flow and filling state of the concrete is determined, specifically including: If the real-time displacement is less than the preset displacement and continues for a preset number of frames, the flow filling state of the concrete is determined to be a stagnant state. If the difference between the maximum and minimum displacement values ​​corresponding to the feature points within the monitoring area is greater than a preset displacement threshold, the flow and filling state of the concrete is determined to be a segregation state.

4. The method for monitoring concrete pouring formwork according to claim 2, characterized in that, The method involves locating feature points in consecutive frames of concrete pouring images, and determining the real-time displacement of the concrete in the monitored area based on the positional changes of these feature points. Specifically, this includes: The concrete pouring image is processed into grayscale, and for any frame of the concrete pouring image after grayscale processing, the feature points in the concrete pouring image are determined. In the next frame of the concrete pouring image corresponding to the concrete pouring image, the adjacent region where the feature point is located is determined, and the pixels contained in the adjacent region are used as candidate points corresponding to the feature point. Calculate the squared difference of pixel values ​​between the candidate points and the feature points, and take the candidate point with the smallest squared difference of corresponding pixel values ​​as the next feature point corresponding to the feature point. Based on the positional change between the feature point and the next feature point, the real-time displacement of the concrete in the monitoring area is determined.

5. The method for monitoring concrete pouring formwork according to claim 4, characterized in that, Based on the positional change between the feature point and the next feature point, the real-time displacement of the concrete in the monitoring area is determined, specifically including: Based on the positional change between the feature point and the next feature point, determine the point displacement corresponding to the feature point; For each feature point in the monitoring area, the median value of the displacement is selected as the real-time displacement of the concrete in the monitoring area.

6. The method for monitoring concrete pouring formwork according to claim 1, characterized in that, Based on the state parameters, the risk factor value corresponding to the preset risk factor is calculated, specifically including: Preset risk factors include pressure risk factor, temperature deformation factor, and humidity deformation factor; The first risk factor value corresponding to the pressure risk factor is determined based on the ratio between the pressure value and the pressure limit value. Based on the temperature difference and sampling distance between adjacent sampling points, the temperature gradient corresponding to the concrete is determined, and the sum of the product between the temperature gradient and the linear expansion coefficient of the concrete and the elastic modulus corresponding to the concrete is calculated to determine the second risk factor value corresponding to the temperature deformation factor. Based on the humidity difference between adjacent sampling points and the sampling distance, the humidity gradient corresponding to the concrete is determined, and the product of the humidity gradient, the humidity deformation coefficient and the elastic modulus is calculated to determine the value of the third risk factor corresponding to the humidity deformation factor.

7. A method for monitoring concrete pouring formwork according to claim 6, characterized in that, Based on the risk factor values, the risk coefficient of the cast-in-place formwork in the current construction stage is determined, specifically including: Based on the current construction phase, determine the risk weights corresponding to each preset risk factor; Based on the risk weights, the first risk factor value, the second risk factor value, and the third risk factor value are weighted and summed to obtain the risk coefficient of the casting formwork in the current construction stage.

8. The method for monitoring concrete pouring formwork according to claim 1, characterized in that, Based on the risk coefficient and the flow filling state, a status warning is issued for the casting formwork, specifically including: If the risk coefficient is greater than the first risk threshold and the flow filling state is a stagnant state or a segregation state, a status warning is issued for the casting formwork. If the risk coefficient is not greater than the first risk threshold and is greater than the second risk threshold, construct a three-dimensional model corresponding to the casting formwork. Based on the mapping relationship between the three-dimensional model and the casting formwork, a casting simulation experiment is conducted on the three-dimensional model to determine the predicted risk coefficient corresponding to the casting formwork through the output simulation state parameters. If the difference between the risk coefficient and the predicted risk coefficient is less than a preset deviation value, and the flow filling state is a stagnant state or a segregation state, a status warning is issued for the casting formwork.

9. A monitoring device for concrete pouring formwork, characterized in that, The device includes: At least one processor; And, a memory communicatively connected to the at least one processor; The memory stores instructions that can be executed by the at least one processor, which are executed by the at least one processor to enable the at least one processor to perform a concrete pouring formwork monitoring method as described in any one of claims 1-8.

10. A non-volatile computer storage medium storing computer-executable instructions, characterized in that, The computer-executable instructions are set as follows: A method for monitoring concrete pouring formwork as described in any one of claims 1-8.

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