BIM (Building Information Modeling)-based floor support plate quality monitoring method and device, equipment and medium

Abstract

The invention relates to the field of data monitoring, in particular to a BIM (Building Information Modeling)-based floor support plate quality monitoring method, device and equipment and a medium. The method comprises the steps that monitoring videos are collected in real time through the unmanned aerial vehicle, and the dynamic change of a construction site can be rapidly captured. The video clips with the construction process are automatically screened out from a large number of monitoring videos, the construction BIM model is updated in real time based on the construction features extracted from the monitoring videos, and it is ensured that the BIM model is highly consistent with the actual situation of the construction site. Meanwhile, the precise positioning of a specific construction object (such as a target floor support plate) enables the subsequent data analysis and quality management to be more focused and effective. By acquiring the stress data and the environmental data (such as temperature and humidity) of the target floor support plate and combining the data to evaluate whether the current quality of the target floor support plate meets the requirements, potential quality problems can be found in time in the construction process, so that the accuracy of speculating the quality condition of the fabricated steel bar truss floor support plate in the use process is improved.

Description

Technical Field

[0001] The present application relates to the field of data monitoring, and in particular to a method, device, equipment and medium for monitoring the quality of floor decking based on BIM. Background Art

[0002] The assembled steel truss floor deck is to process the main load-bearing steel bars into steel trusses using fully automatic equipment in the factory, and then embed the steel trusses in the bottom membrane (usually fine stone concrete), and form an integral structure after the bottom membrane solidifies. This floor deck combines the advantages of steel bars and concrete, with high strength, high bearing capacity and good stability.

[0003] Generally speaking, the quality of the prefabricated steel truss floor deck is inspected after it is manufactured and before it is hoisted into the construction building. However, during the use of the prefabricated steel truss floor deck after it is hoisted into the construction building, the prefabricated steel truss floor deck may be affected by various environmental factors such as temperature, humidity, load changes, etc., resulting in changes in the stress state, thereby causing an unbalanced force and affecting the quality of the prefabricated steel truss floor deck.

[0004] In the prior art, the quality of the assembled steel truss floor deck is generally estimated based on historical data and the service life of the assembled steel truss floor deck. However, since the quality of the assembled steel truss floor deck is not only affected by the service life, the quality of the assembled steel truss floor deck estimated in this way during use is less accurate. Therefore, how to improve the accuracy of estimating the quality of the assembled steel truss floor deck during use has become a problem that needs to be solved urgently. Summary of the invention

[0005] In order to improve the accuracy of inferring the quality of prefabricated steel truss floor decks during use, the present application provides a BIM-based floor deck quality monitoring method, device, equipment and medium.

[0006] In the first aspect, the present application provides a BIM-based floor deck quality monitoring method, which adopts the following technical solution: A floor deck quality monitoring method based on BIM, comprising: Acquire the surveillance video collected by the drone in the current cycle in real time, and filter out the surveillance video clips containing the construction process from the surveillance video; Extracting construction features from the surveillance video clips, and updating the construction BIM model in real time based on the extracted construction features; Determine whether there is a target floor deck in the construction BIM model, where the target floor deck is a floor deck hoisted into the construction building in the current cycle; If the target floor deck exists in the construction BIM model, the stress data and environmental data of the target floor deck in the current cycle are obtained, and the environmental data include temperature and humidity; Based on the stress data and the environmental data, it is determined whether the current quality of the target floor deck meets the quality requirements.

[0007] By adopting the above technical solution, the real-time monitoring video collection by drone can quickly capture the dynamic changes of the construction site, including key nodes such as the start, progress and end of construction activities. The video clips with construction process are automatically screened out from a large number of monitoring videos, and the specific content of the construction activities is further analyzed based on the construction feature extraction technology, which greatly reduces the workload of manual screening and judgment and improves the accuracy and processing efficiency of monitoring data. At the same time, the construction BIM model is updated in real time based on the construction features extracted from the monitoring video, ensuring that the BIM model is highly consistent with the actual situation of the construction site. The precise positioning of specific construction objects (such as the target floor deck) makes the subsequent data analysis and quality management more focused and effective. By obtaining the stress data and environmental data (such as temperature and humidity) of the target floor deck, and combining these data to evaluate whether its current quality meets the requirements, potential quality problems can be discovered in time during the construction process, thereby improving the accuracy of the inference of the quality of the prefabricated steel truss floor deck during use.

[0008] In a possible implementation, extracting construction features from the surveillance video clips, and updating the construction BIM model in real time based on the extracted construction features, includes: Inputting the surveillance video clip stream into a deep learning network model to obtain construction action features and construction building features corresponding to the surveillance video clips, so as to obtain the construction features; Based on the construction action features, the actions of the construction workers and the actions of the construction equipment in the construction BIM model are updated, and based on the construction building features, the construction buildings in the construction BIM model are updated.

[0009] By adopting the above technical solution, by inputting the monitoring video clip stream into the deep learning network model in real time, the latest dynamics of the construction site can be captured instantly, including the actions of construction workers, the operating status of construction equipment, and changes in construction buildings. The real-time data-driven approach ensures that the BIM model can keep up with the construction progress and reflect the actual situation of the construction site in a timely manner. The deep learning network model has a strong feature extraction capability and can automatically extract construction action features and construction building features from the monitoring video. These features provide reliable data support for the update of the BIM model.

[0010] In a possible implementation, determining whether a target floor deck exists in the construction BIM model includes any of the following: Obtain the current construction task corresponding to the current cycle; determine whether the current construction task includes a floor deck hoisting subtask; if the current construction task includes the floor deck hoisting subtask, determine whether the floor deck hoisting subtask has been completed within the current cycle based on the construction action characteristics, so as to determine whether a target floor deck exists in the construction BIM model; wherein the total construction task is divided into a plurality of construction tasks to be performed in sequence; Obtain a target BIM model, identify the floor deck sub-features corresponding to the construction building features, and determine whether a target floor deck exists in the construction BIM model based on the target BIM model and the floor deck sub-features, wherein the target BIM model is a BIM model updated at the start of the current cycle.

[0011] By adopting the above technical solution, two methods are used to determine whether the target floor deck exists in the construction BIM model, thereby improving the accuracy of determining whether the target floor deck exists in the construction BIM model. First, by obtaining the construction task corresponding to the current cycle and checking whether the floor deck hoisting subtask is included, it is possible to determine in real time according to the construction progress and plan whether the floor deck has been hoisted into the construction building, thereby determining whether the target floor deck exists in the construction BIM model. Secondly, by obtaining the target BIM model (i.e., the BIM model updated at the beginning of the current cycle) and identifying the floor deck sub-features corresponding to the construction building features, it is possible to accurately determine whether the target floor deck exists in the construction BIM model.

[0012] In a possible implementation, the stress data includes stresses exerted on respective regions of the target floor deck, and determining whether the current quality of the target floor deck meets the quality requirements based on the stress data and the environmental data includes: Obtaining floor deck specifications of the target floor deck; Based on the floor deck specifications, dividing the target floor deck into a plurality of areas; Determine the importance of each area; Based on the importance and stress of each area, determine the stress impact of each area; Determining the degree of environmental impact of the environmental data on the target floor deck; Based on the environmental impact degree and the force impact degree, it is determined whether the current quality of the target floor decking meets the quality requirements.

[0013] By adopting the above technical solution, not only the stress data on the target floor deck is taken into account, but also the environmental data (such as temperature, humidity, wind load, etc.) and the specification information of the floor deck itself are combined. The fusion of multi-dimensional data makes the quality assessment more comprehensive and can more accurately reflect the actual working status of the floor deck under different conditions. By dividing the target floor deck into multiple areas and determining the importance and force influence of each area, a refined assessment of the quality of the floor deck is achieved. At the same time, based on the importance and force influence of each area, it is possible to identify which areas are the focus of quality control. By adopting differentiated processing methods, the quality control work is more targeted, and resources can be concentrated to solve key problems and improve quality control efficiency.

[0014] In a possible implementation, determining the importance of each area includes: Determining the load distribution corresponding to the target floor deck; Determine a first importance level corresponding to each area based on the load distribution and the position corresponding to each area; Determine whether the target floor deck has special supporting components; If the target floor deck has a special supporting component, determining the second importance level corresponding to each area based on the area corresponding to the special supporting component; The importance level corresponding to each area is determined based on the first importance level and the second importance level.

[0015] By adopting the above technical solution, the load distribution of the target floor deck is determined. This solution can finely evaluate the stress conditions of each area in the overall structure, which helps to identify which areas are the key support points or stress concentration areas of the structure. Based on the first importance determined by the load distribution, targeted reinforcement measures can be taken for the key stress areas, such as increasing the number of steel bars, adjusting the concrete ratio, etc., so as to improve the structural strength and stability of these areas. At the same time, special support components usually have an important impact on the overall stability of the structure, so their existence will change the importance of certain areas. The importance of each area can be further refined by checking whether there are special support components (such as columns, beams, etc.) on the target floor deck and determining the second importance based on the location of these components.

[0016] In a possible implementation, the environmental data includes a first curve of temperature changing over time and a second curve of humidity changing over time, and determining the degree of environmental impact of the environmental data on the target floor deck includes: Obtaining a first standard curve and a second standard curve corresponding to the target floor deck, wherein the first standard curve is a standard curve of temperature changing over time, and the second standard curve is a standard curve of humidity changing over time; Determining the degree of temperature influence based on the first curve and the first standard curve; Determining the degree of humidity influence based on the second curve and the second standard curve; Based on the temperature influence degree and the humidity influence degree, the environmental influence degree of the environmental data on the target floor deck is determined.

[0017] By adopting the above technical solution, by comparing the actual environmental data (curves of temperature and humidity changing over time) with the standard curve, the specific impact of the environment on the target floor deck can be quantitatively evaluated, which helps to more accurately understand the impact of environmental factors on the performance of the floor deck. The standard curve is usually based on a large amount of experimental data and statistical analysis, and can reflect the typical change pattern and impact range of environmental factors. Therefore, by comparing the actual curve with the standard curve, the actual impact of the environment on the floor deck can be more scientifically evaluated. By real-time monitoring of environmental data and comparing it with the standard curve, abnormal changes in environmental factors can be discovered in a timely manner, thereby providing early warning of possible adverse effects on the floor deck.

[0018] In a possible implementation, after determining whether the current quality of the target floor decking plate meets the quality requirement, the method further includes: If the current quality of the target floor deck meets the quality requirement, marking the stress data and the environmental data on the target floor deck in the construction BIM model; If the current quality of the target floor deck does not meet the quality requirement, quality alarm information is generated and displayed on the target floor deck of the construction BIM model.

[0019] By adopting the above technical solution, In the second aspect, the present application provides a BIM-based floor deck quality monitoring device, which adopts the following technical solution: A floor deck quality monitoring device based on BIM, comprising: The first acquisition module is used to acquire the monitoring video collected by the drone in the current period in real time, and filter out the monitoring video clips containing the construction process from the monitoring video; An extraction module is used to extract construction features from the surveillance video clips and update the construction BIM model in real time based on the extracted construction features; A first determination module is used to determine whether there is a target floor deck in the construction BIM model, and the target floor deck is a floor deck hoisted into the construction building in the current cycle; A second acquisition module is used to acquire stress data and environmental data of the target floor deck in a current cycle if there is a target floor deck in the construction BIM model, wherein the environmental data includes temperature and humidity; The second determination module is used to determine whether the current quality of the target floor deck meets the quality requirements based on the stress data and the environmental data.

[0020] In a third aspect, the present application provides an electronic device, which adopts the following technical solution: An electronic device, comprising: at least one processor; Memory; At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute the BIM-based floor deck quality monitoring method described in the first aspect above.

[0021] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium, comprising: storing a computer program that can be loaded by a processor and execute the BIM-based floor deck quality monitoring method described in the first aspect above.

[0022] In summary, this application includes the following beneficial technical effects: By collecting surveillance videos in real time through drones, dynamic changes at the construction site can be quickly captured, including key nodes such as the start, progress and end of construction activities. Video clips with construction processes are automatically screened out from a large number of surveillance videos, and the specific content of construction activities is further analyzed based on construction feature extraction technology, which greatly reduces the workload of manual screening and judgment and improves the accuracy and processing efficiency of monitoring data. At the same time, the construction BIM model is updated in real time based on the construction features extracted from the surveillance video, ensuring a high degree of consistency between the BIM model and the actual situation at the construction site. Accurate positioning of specific construction objects (such as target floor decking) makes subsequent data analysis and quality management more focused and effective. By obtaining the stress data and environmental data (such as temperature and humidity) of the target floor decking, and combining these data to evaluate whether its current quality meets the requirements, potential quality problems can be discovered in a timely manner during the construction process, thereby improving the accuracy of the inference of the quality of the prefabricated steel truss floor decking during use. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 It is a flow chart of a floor deck quality monitoring method based on BIM provided in an embodiment of the present application; Figure 2It is a block diagram of a BIM-based floor deck quality monitoring device provided in an embodiment of the present application; Figure 3 It is a schematic diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0024] The following is combined with Figure 1-3 This application is described in further detail.

[0025] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0026] In order to facilitate understanding of the technical solution proposed in this application, several elements introduced in the description of this application are first introduced here. It should be understood that the following introduction is only for the convenience of understanding these elements, so as to understand the content of the embodiments of this application, and does not necessarily cover all possible situations.

[0027] The assembled steel truss floor deck is to process the main load-bearing steel bars into steel trusses using fully automatic equipment in the factory, and then embed the steel trusses in the bottom membrane (usually fine stone concrete), and form an integral structure after the bottom membrane solidifies. This floor deck combines the advantages of steel bars and concrete, with high strength, high bearing capacity and good stability.

[0028] Generally speaking, after the prefabricated steel truss floor deck is manufactured and before it is hoisted into the construction building, the prefabricated steel truss floor deck is subjected to quality inspection. However, during the use of the prefabricated steel truss floor deck after it is hoisted into the construction building, the prefabricated steel truss floor deck may be affected by various environmental factors such as temperature, humidity, and load changes, resulting in changes in the stress state, thereby causing an unbalanced stress situation, which affects the quality of the prefabricated steel truss floor deck. In the prior art, the quality of the prefabricated steel truss floor deck is generally inferred through historical data and the length of time the prefabricated steel truss floor deck is used. However, since the quality of the prefabricated steel truss floor deck is not only affected by the length of time used, the accuracy of the quality of the prefabricated steel truss floor deck during use inferred by this method is low. Therefore, how to improve the accuracy of the inferred quality of the prefabricated steel truss floor deck during use has become a problem that needs to be solved urgently.

[0029] In view of this, the embodiment of the present application provides a BIM-based floor deck quality monitoring method, which is applied to assembled steel truss floor decks, referred to as floor decks in the following description. Figure 1 As shown, the method provided in the embodiment of the present application is performed by an electronic device, which can be a server or a terminal device, wherein the server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. The terminal device can be a smart phone, a tablet computer, a laptop computer, a desktop computer, etc., but is not limited thereto. The terminal device and the server can be directly or indirectly connected via wired or wireless communication, which is not limited in the embodiment of the present application. The method includes steps S101 to S105, wherein: Step S101: acquiring in real time the surveillance video collected by the drone in the current period, and screening out surveillance video clips containing the construction process from the surveillance video.

[0030] Deploy drones at construction sites, set a timer or automatically take off according to construction progress instructions to conduct all-round, multi-angle video monitoring of the construction site. Drones can transmit the surveillance video collected by drones to electronic devices in real time through wireless transmission technology (such as Wi-Fi, 4G / 5G, etc.). After the electronic device receives the surveillance video collected by the drone, it uses video processing software to quickly analyze the received surveillance video, and screen out surveillance video clips that contain construction processes by identifying construction activities in the picture (such as crane hoisting, worker installation, etc.).

[0031] Step S102: extract construction features from the surveillance video clips, and update the construction BIM model in real time based on the extracted construction features.

[0032] After obtaining the surveillance video clips, the selected surveillance video clips can be further analyzed, and machine learning technology can be used to extract construction features, such as the hoisting position, installation progress, connection method, etc. of the floor deck. The extracted construction features are integrated into the construction BIM model in real time, and the location, status, progress and other information of the target floor deck in the BIM model are updated. At the same time, it is ensured that the BIM model is consistent with the actual construction situation on site.

[0033] Specifically, the preprocessed video frames are input into the deep learning network model through the trained deep learning network model, and the trained deep learning network model automatically extracts the construction action features (such as hoisting, installation, welding, etc.) and construction building features (such as the position, shape, size, etc. of the floor deck) in the video through its internal convolutional layer, pooling layer, fully connected layer and other structures. Among them, the trained deep learning network model should have the ability to recognize the actions and building features in the construction scene. The trained deep learning network model can be based on a convolutional neural network (CNN) or combined with other technologies (such as a long short-term memory network LSTM, which is used to process the time information of the video sequence).

[0034] Step S103: Determine whether the target floor deck exists in the construction BIM model.

[0035] The target floor deck is a floor deck hoisted into the construction building in the current cycle. Before being hoisted into the construction building, each floor deck is installed with a stress sensor.

[0036] In the construction BIM model, the floor deck hoisted into the construction building in the current cycle, i.e., the target floor deck, is queried. Specifically, the specific location of the target floor deck is determined through the timestamp, location information, construction plan, etc. in the BIM model. For the identified target floor deck, the stress data (such as stress distribution, change rate, etc.) and environmental data (including temperature, humidity, etc.) in the current cycle are obtained using sensors or remote monitoring equipment installed on the floor deck.

[0037] More specifically, sub-features related to the floor deck are extracted from the construction building features. The extracted floor deck sub-features are used to search in the target BIM model. This usually involves traversing each element in the BIM model and comparing their attributes to whether they match the floor deck sub-features. If an element matching the floor deck sub-feature is found in the BIM model, it can be determined that the target floor deck does exist in the construction BIM model. Among them, the sub-features may include the size, shape, material, location (such as floor, room, coordinates), etc. of the target floor deck.

[0038] Step S104: If the target floor deck exists in the construction BIM model, the stress data and environmental data of the target floor deck in the current cycle are obtained.

[0039] The environmental data includes temperature and humidity.

[0040] For the identified target floor deck, use the sensor or remote monitoring equipment installed on the floor deck to obtain its stress data (such as stress distribution, change rate, etc.) in the current cycle. And obtain the weather forecast information of the construction location in the future cycle to obtain the temperature and humidity in the weather forecast information.

[0041] Step S105: Determine whether the current quality of the target floor decking meets the quality requirements based on the stress data and the environmental data.

[0042] Compare and analyze the acquired stress data and environmental data with the preset quality standards or thresholds to evaluate whether the stress state of the target floor deck under the current environmental conditions is within the safe range and whether the environmental data has an adverse effect on the quality of the floor deck. Based on the data analysis results, determine whether the current quality of the target floor deck meets the quality requirements. If the requirements are met, continue monitoring; if the requirements are not met, generate quality alarm information, and display the quality alarm information in a visual way on the target floor deck of the construction BIM model, such as using eye-catching colors, icons or text annotations.

[0043] The embodiment of the present application provides a BIM-based floor deck quality monitoring method, which can quickly capture the dynamic changes of the construction site, including key nodes such as the start, progress and end of construction activities, by collecting monitoring videos in real time through drones. Video clips with construction processes are automatically screened out from a large number of monitoring videos, and the specific content of the construction activities is further analyzed based on the construction feature extraction technology, which greatly reduces the workload of manual screening and judgment, and improves the accuracy and processing efficiency of monitoring data. At the same time, the construction BIM model is updated in real time based on the construction features extracted from the monitoring video, ensuring that the BIM model is highly consistent with the actual situation at the construction site. Accurate positioning of specific construction objects (such as target floor decks) makes subsequent data analysis and quality management more focused and effective. By obtaining the stress data and environmental data (such as temperature and humidity) of the target floor deck, and combining these data to evaluate whether its current quality meets the requirements, potential quality problems can be discovered in time during the construction process, thereby improving the accuracy of inferring the quality of the assembled steel truss floor deck during use.

[0044] A possible implementation of the embodiment of the present application is to extract construction features from the surveillance video clips in the above step S102, and update the construction BIM model in real time based on the extracted construction features, including: Input the surveillance video clip stream into the deep learning network model to obtain the construction action features and construction building features corresponding to the surveillance video clips to obtain the construction features; Based on the construction action features, the actions of construction workers and construction equipment in the construction BIM model are updated, and based on the construction building features, the construction buildings in the construction BIM model are updated.

[0045] Specifically, the surveillance video clip stream collected by the drone is decoded and converted into a format that can be processed by the deep learning network model (such as continuous image frames). In order to improve the generalization ability of the model, some data enhancement operations can be performed on the video frames, such as cropping, rotation, scaling, etc.

[0046] Furthermore, the preprocessed video frames are input into the deep learning network model through the trained deep learning network model, and the trained deep learning network model automatically extracts the construction action features (such as hoisting, installation, welding, etc.) and construction building features (such as the position, shape, size, etc. of the floor deck) in the video through its internal convolutional layer, pooling layer, fully connected layer and other structures. Among them, the trained deep learning network model has the ability to recognize the actions and building features in the construction scene. The trained deep learning network model can be based on the convolutional neural network (CNN) or combined with other technologies (such as the long short-term memory network LSTM, which is used to process the time information of the video sequence).

[0047] Map the extracted construction action features with the elements in the construction BIM model. For example, if a lifting action is identified, the position of the construction worker, the state of the crane's boom, etc. are updated in the BIM model based on the position, direction, and other information of the action. Integrate the extracted construction building features with the building model in the BIM model. Furthermore, the updated model is displayed in real time in the BIM model software. This allows project team members to see the current construction status in the BIM model, including the location of the construction workers, the status of the construction equipment, and the progress of the construction building.

[0048] In a possible implementation of the embodiment of the present application, in the above step S103, the process of determining whether the target floor deck exists in the construction BIM model may refer to the following method 1 or method 2, specifically: Method 1: Obtain the current construction task corresponding to the current period; determine whether the current construction task includes the subtask of lifting the floor decking slab; if the current construction task includes the subtask of lifting the floor decking slab, then based on the construction action characteristics, determine whether the subtask of lifting the floor decking slab has been completed within the current period to determine whether the target floor decking slab exists in the construction BIM model; wherein the total construction task is divided into multiple construction tasks that are performed in sequence.

[0049] The overall construction task is divided into a plurality of construction tasks to be performed in sequence, and each construction task is divided into a plurality of subtasks to be performed in sequence according to the order of construction steps. For example, the step of hoisting in the floor decking plate can be a subtask.

[0050] Specifically, obtain the construction tasks corresponding to the current cycle, traverse the current construction tasks, and find out whether it contains the task of hoisting the floor deck. Hoisting the floor deck is usually a key step in building construction, so the step of hoisting the floor deck is generally clearly marked in the construction subtask. If the current construction task contains the subtask of hoisting the floor deck, it is necessary to combine the construction action characteristics to determine whether the subtask has been completed.

[0051] More specifically, by analyzing the construction action features extracted from the drone monitoring video, the construction action features corresponding to the current moment can be compared with the standard construction action features corresponding to each subtask of the current task to determine the step corresponding to the construction action features corresponding to the current moment, and based on whether the subtask is located after the step of hoisting the floor deck, it can be determined whether the floor deck hoisting subtask has been completed in the current cycle. For example, by monitoring the actions of the construction workers in the video, the position and movement trajectory of the crane, it can be determined whether the floor deck has been hoisted and installed to the predetermined position. If it is determined that the floor deck hoisting subtask has been completed, it can be considered that the corresponding target floor deck should exist in the construction BIM model.

[0052] Method 2: Obtain the target BIM model, identify the floor decking features corresponding to the construction building features, and determine whether the target floor decking exists in the construction BIM model based on the target BIM model and the floor decking features. The target BIM model is the BIM model updated at the beginning of the current cycle.

[0053] The floor deck sub-features may include the size, shape, and material of the floor deck.

[0054] Specifically, the target BIM model can be obtained, wherein the target BIM model is a BIM model updated in real time in the current cycle, and contains the latest status information of the construction building at the current moment. Sub-features related to the floor deck are extracted from the construction building features. The sub-features may include the size, shape, material, location (such as floor, room, coordinates), etc. of the floor deck.

[0055] The extracted floor deck sub-features are used to search in the target BIM model. Specifically, each element in the BIM model can be traversed to compare their attributes to see if they match the floor deck sub-features. If an element matching the floor deck sub-feature is found in the BIM model, it can be determined that the target floor deck exists in the construction BIM model; if an element matching the floor deck sub-feature is not found in the BIM model, it can be determined that the target floor deck exists in the construction BIM model.

[0056] In a possible implementation of the embodiment of the present application, in the above step S105, the stress data may include the stresses on each region of the target floor deck, and based on the stress data and the environmental data, determining whether the current quality of the target floor deck meets the quality requirements includes: Obtain the floor deck specifications of the target floor deck; Based on the floor deck specifications, the target floor deck is divided into multiple areas; Determine the importance of each area; Based on the importance and stress of each area, determine the stress impact of each area; Determine the environmental impact of environmental data on the target floor deck; Based on the degree of environmental impact and the degree of force impact, determine whether the current quality of the target floor decking meets the quality requirements.

[0057] The initial target BIM model is established based on the design drawings of the construction, which contain the specifications and quantities of each building material. Therefore, the detailed specification information of the target floor deck can be obtained from the design drawings or BIM models, including size, material, design load-bearing capacity, etc. The floor deck is divided into multiple areas according to the specifications of the floor deck (such as shape, size, supporting structure, etc.) and the stress characteristics. The area can be obtained based on a uniform grid.

[0058] Furthermore, the position of each area in the overall structure of the floor deck is analyzed to obtain the weight value corresponding to the position, and the importance of each area is determined based on the weight value corresponding to each area. For example, areas located in the middle of the span, near the support point, or under heavy loads are usually more important. Using the stress data obtained from the sensor, the current stress value of each area is calculated. Combined with the importance and force value of each area, the force influence of each area can be calculated by multiplying the force value by the weight value. Among them, one area position corresponds to one weight value.

[0059] Analyze the impact of environmental data (such as temperature and humidity) on the performance of floor decking materials. For example, high temperature may cause the material to expand and reduce strength, while humidity changes may affect the durability of the material. Determine the degree of environmental impact on the floor decking based on the specific values ​​of environmental data and the performance parameters of the floor decking materials.

[0060] Furthermore, the degree of force influence and the degree of environmental influence are comprehensively considered, which can be multiplied or weighted summed to obtain a comprehensive evaluation value. The comprehensive evaluation value is compared with a preset quality requirement standard. The quality requirement standard can be formulated based on design specifications and safety regulations. If the comprehensive evaluation value meets or exceeds the quality requirement standard, it is considered that the current quality of the target floor deck meets the quality requirements; otherwise, it is considered that it does not meet the quality requirements.

[0061] A possible implementation manner of the embodiment of the present application, in the above embodiment, determining the importance corresponding to each area includes: Determine the load distribution corresponding to the target floor deck; Based on the load distribution and the position of each area, determine the first importance level corresponding to each area; Determine whether the target floor deck has special supporting components; If the target floor deck has special supporting components, then based on the area corresponding to the special supporting components, determine the second importance level corresponding to each area; Based on the first importance and the second importance, the importance corresponding to each area is determined.

[0062] Since the load distribution in different areas of the same floor deck may be different, generally, areas located on the load path, close to the support point, or bearing a larger load are considered more important. Therefore, the importance of each area can be determined according to the load distribution of the target floor deck. Specifically, for each area, its bearing capacity is obtained according to its position in the load distribution. Each position corresponds to a preset bearing capacity. Furthermore, according to the bearing capacity corresponding to each area, a first importance value is assigned to each area.

[0063] The structural design of the floor deck often determines the stress characteristics and bearing capacity of different areas. Some areas may have higher bearing capacity due to the special characteristics of the structural design (such as reinforcing ribs, special supports, etc.). Therefore, identify the design drawings to confirm whether there are special supporting components (such as reinforcing ribs, hanging points, etc.). If there are special supporting components, identify the areas where they are located and evaluate the importance of these areas to the overall structure of the floor deck.

[0064] For the area including the special support components, a preset stability value corresponding to each special support component is obtained, and a second importance value is assigned to each area including the special support component according to the preset stability value corresponding to the area including the special support component, wherein each special support component corresponds to a preset stability value.

[0065] Furthermore, the first importance value and the second importance value of each region are comprehensively considered, and the first importance value and the second importance value are summed to obtain the importance corresponding to each region.

[0066] A possible implementation of the embodiment of the present application, in the above embodiment, the environmental data may further include a first curve of temperature changing over time and a second curve of humidity changing over time, and determining the degree of environmental impact of the environmental data on the target floor deck includes: Obtain a first standard curve and a second standard curve corresponding to the target floor deck, the first standard curve being a standard curve of temperature changing over time, and the second standard curve being a standard curve of humidity changing over time; Determining the degree of temperature influence based on the first curve and the first standard curve; Determining the degree of humidity influence based on the second curve and the second standard curve; Based on the temperature influence and humidity influence, determine the environmental influence of the environmental data on the target floor deck.

[0067] Specifically, environmental data of the construction location in a future period is obtained to establish a first curve of temperature changing over time (actual temperature curve) and a second curve of humidity changing over time (actual humidity curve).

[0068] Since different materials age at different speeds in different temperature and humidity environments, the standard temperature and standard humidity corresponding to the floor deck material can be obtained. In the standard temperature and standard humidity environment, the floor deck material ages the slowest. Specifically, obtain the first standard curve (standard temperature curve) and the second standard curve (standard humidity curve) corresponding to the target floor deck. Time-align the actual temperature curve and the standard temperature curve to ensure that their data points are on the same timeline. Similarly, time-align the actual humidity curve and the standard humidity curve.

[0069] Calculate the deviation between the actual temperature curve and the standard temperature curve. This can be achieved by calculating the temperature difference at each time point. To evaluate the size and duration of the deviation, statistical methods such as the sum of absolute values ​​and the root mean square error can be used. The larger the deviation, the greater the difference between the actual temperature and the standard temperature, and the higher the temperature impact. Depending on the severity of the deviation, different impact levels can be set (such as slight, moderate, and severe). Similarly, calculate the deviation between the actual humidity curve and the standard humidity curve. To evaluate the size and duration of the deviation, the same statistical methods are used. The larger the deviation, the greater the difference between the actual humidity and the standard humidity, and the higher the humidity impact. According to the severity of the deviation, set the corresponding impact level.

[0070] In a possible implementation of the embodiment of the present application, after determining whether the current quality of the target floor decking plate meets the quality requirements in step S105, the method may further include: If the current quality of the target floor deck meets the quality requirements, the stress data and environmental data are marked on the target floor deck of the construction BIM model; If the current quality of the target floor deck does not meet the quality requirements, quality alarm information is generated and displayed on the target floor deck of the construction BIM model.

[0071] Specifically, if the current quality of the target floor decking meets the quality requirements, the stress data and environmental data recorded when the quality requirements are met are collected and organized, the position of the target floor decking is located from the construction BIM model, and the elements representing the target floor decking (such as 3D model components) are found in the BIM model. The stress data and environmental data are marked on the target floor decking in a visual manner (such as numbers, charts, or color coding) using the annotation or marking function of the BIM model, and the marked stress data and environmental data are associated with the BIM model to ensure that they can be easily retrieved and viewed later.

[0072] If the current quality of the target floor deck does not meet the quality requirements, the target floor deck is located in the construction BIM model, and the highlight or mark function of the BIM model is used to display the target floor deck in a striking manner (such as red highlight). In the BIM model, quality alarm information is added for the target floor deck. Furthermore, the quality alarm information can be sent to the terminals of relevant construction personnel, quality management personnel or project managers.

[0073] The above embodiment introduces a BIM-based floor deck quality monitoring method from the perspective of method flow, and the following embodiment introduces a BIM-based floor deck quality monitoring device from the perspective of virtual module or virtual unit. For details, please refer to the following embodiment.

[0074] See also Figure 2 The BIM-based floor deck quality monitoring device 20 may specifically include: a first acquisition module 201, an extraction module 202, a first determination module 203, a second acquisition module 204 and a second determination module 205, wherein: A floor deck quality monitoring device 20 based on BIM, comprising: The first acquisition module 201 is used to acquire the monitoring video collected by the drone in the current period in real time, and filter out the monitoring video clips containing the construction process from the monitoring video; An extraction module 202 is used to extract construction features from the surveillance video clips and update the construction BIM model in real time based on the extracted construction features; The first determination module 203 is used to determine whether there is a target floor deck in the construction BIM model, where the target floor deck is a floor deck hoisted into the construction building in the current cycle; The second acquisition module 204 is used to acquire stress data and environmental data of the target floor deck in the current cycle if the target floor deck exists in the construction BIM model, and the environmental data includes temperature and humidity; The second determination module 205 is used to determine whether the current quality of the target floor decking meets the quality requirements based on the stress data and the environmental data.

[0075] In a possible implementation of the embodiment of the present application, when the extraction module 202 extracts construction features from the surveillance video clips and updates the construction BIM model in real time based on the extracted construction features, it can be specifically used to: Input the surveillance video clip stream into the deep learning network model to obtain the construction action features and construction building features corresponding to the surveillance video clips to obtain the construction features; Based on the construction action features, the actions of construction workers and construction equipment in the construction BIM model are updated, and based on the construction building features, the construction buildings in the construction BIM model are updated.

[0076] In a possible implementation of the embodiment of the present application, when determining whether a target floor deck exists in the construction BIM model, the first determination module 203 may be used for any of the following: Obtain the current construction task corresponding to the current cycle; determine whether the current construction task includes a floor deck hoisting subtask; if the current construction task includes a floor deck hoisting subtask, determine whether the floor deck hoisting subtask has been completed in the current cycle based on the construction action characteristics, so as to determine whether the target floor deck exists in the construction BIM model; wherein the total construction task is divided into a plurality of construction tasks to be performed in sequence; Obtain the target BIM model, identify the floor decking features corresponding to the construction building features, and determine whether the target floor decking exists in the construction BIM model based on the target BIM model and the floor decking features. The target BIM model is the BIM model updated at the beginning of the current cycle.

[0077] In a possible implementation of the embodiment of the present application, when the stress data includes the stresses of each region on the target floor deck, the second determination module 205 determines whether the current quality of the target floor deck meets the quality requirements based on the stress data and the environmental data, including: Obtain the floor deck specifications of the target floor deck; Based on the floor deck specifications, the target floor deck is divided into multiple areas; Determine the importance of each area; Based on the importance and stress of each area, determine the stress impact of each area; Determine the environmental impact of environmental data on the target floor deck; Based on the degree of environmental impact and the degree of force impact, determine whether the current quality of the target floor decking meets the quality requirements.

[0078] In a possible implementation of the embodiment of the present application, the second determining module 205 determines the importance corresponding to each area, including: Determine the load distribution corresponding to the target floor deck; Based on the load distribution and the position of each area, determine the first importance level corresponding to each area; Determine whether the target floor deck has special supporting components; If the target floor deck has special supporting components, then based on the area corresponding to the special supporting components, determine the second importance level corresponding to each area; Based on the first importance and the second importance, the importance corresponding to each area is determined.

[0079] In a possible implementation of the embodiment of the present application, when the environmental data includes a first curve of temperature changing over time and a second curve of humidity changing over time, the second determination module 205 determines the degree of environmental impact of the environmental data on the target floor deck, including: Obtain a first standard curve and a second standard curve corresponding to the target floor deck, the first standard curve being a standard curve of temperature changing over time, and the second standard curve being a standard curve of humidity changing over time; Determining the degree of temperature influence based on the first curve and the first standard curve; Determining the degree of humidity influence based on the second curve and the second standard curve; Based on the temperature influence and humidity influence, determine the environmental influence of the environmental data on the target floor deck.

[0080] In a possible implementation of the embodiment of the present application, the BIM-based floor deck quality monitoring device 20 may further include: A marking module is used to mark stress data and environmental data on the target floor deck of the construction BIM model if the current quality of the target floor deck meets the quality requirements; The display module is used to generate quality alarm information if the current quality of the target floor deck does not meet the quality requirements, and display the quality alarm information on the target floor deck of the construction BIM model.

[0081] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0082] See also Figure 3 , the embodiment of the present application also introduces an electronic device from the perspective of a physical device, such as Figure 3 As shown, Figure 3 The electronic device 30 shown includes: a processor 301 and a memory 303. The processor 301 and the memory 303 are connected, such as through a bus 302. Optionally, the electronic device 30 may also include a transceiver 304. It should be noted that in actual applications, the transceiver 304 is not limited to one, and the structure of the electronic device 30 does not constitute a limitation on the embodiments of the present application.

[0083] The processor 301 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It may implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of this application. The processor 301 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0084] The bus 302 may include a path to transmit information between the above components. The bus 302 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus 302 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0085] The memory 303 may be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compressed optical disk, laser disk, optical disk, digital versatile disk, Blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0086] The memory 303 is used to store the application code for executing the solution of the present application, and the execution is controlled by the processor 301. The processor 301 is used to execute the application code stored in the memory 303 to implement the contents shown in the above method embodiment.

[0087] The electronic devices include but are not limited to: mobile phones, laptop computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc., and can also be servers, etc. Figure 3 The electronic device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0088] An embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer-readable storage medium is run on a computer, the computer can execute the corresponding content in the aforementioned method embodiment.

[0089] It should be understood that, although the steps in the flowchart of the accompanying drawings are displayed in sequence as indicated by the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed in turn or alternately with other steps or at least a part of the sub-steps or stages of other steps.

[0090] The above are only some implementation methods of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A floor deck quality monitoring method based on BIM, characterized in that: include: Acquire the surveillance video collected by the drone in the current cycle in real time, and filter out the surveillance video clips containing the construction process from the surveillance video; Extracting construction features from the surveillance video clips, and updating the construction BIM model in real time based on the extracted construction features; Determine whether there is a target floor deck in the construction BIM model, where the target floor deck is a floor deck hoisted into the construction building in the current cycle; If the target floor deck exists in the construction BIM model, the stress data and environmental data of the target floor deck in the current cycle are obtained, and the environmental data include temperature and humidity; Based on the stress data and the environmental data, it is determined whether the current quality of the target floor deck meets the quality requirements.

2. The BIM-based floor deck quality monitoring method according to claim 1 is characterized in that: The extracting of construction features from the surveillance video clips and updating the construction BIM model in real time based on the extracted construction features include: Inputting the surveillance video clip stream into a deep learning network model to obtain construction action features and construction building features corresponding to the surveillance video clips, so as to obtain the construction features; Based on the construction action features, the actions of the construction workers and the actions of the construction equipment in the construction BIM model are updated, and based on the construction building features, the construction buildings in the construction BIM model are updated.

3. The BIM-based floor deck quality monitoring method according to claim 2 is characterized in that: The determining whether the target floor deck exists in the construction BIM model includes any one of the following: Obtain the current construction task corresponding to the current cycle; determine whether the current construction task includes a floor deck hoisting subtask; if the current construction task includes the floor deck hoisting subtask, determine whether the floor deck hoisting subtask has been completed within the current cycle based on the construction action characteristics, so as to determine whether a target floor deck exists in the construction BIM model; wherein the total construction task is divided into a plurality of construction tasks to be performed in sequence; Obtain a target BIM model, identify the floor deck sub-features corresponding to the construction building features, and determine whether a target floor deck exists in the construction BIM model based on the target BIM model and the floor deck sub-features, wherein the target BIM model is a BIM model updated at the start of the current cycle.

4. The BIM-based floor deck quality monitoring method according to claim 1 is characterized in that: The stress data includes stresses exerted on each region of the target floor deck, and determining whether the current quality of the target floor deck meets the quality requirements based on the stress data and the environmental data includes: Obtaining floor deck specifications of the target floor deck; Based on the floor deck specifications, dividing the target floor deck into a plurality of areas; Determine the importance of each area; Based on the importance and stress of each area, determine the stress impact of each area; Determining the degree of environmental impact of the environmental data on the target floor deck; Based on the environmental impact degree and the force impact degree, it is determined whether the current quality of the target floor decking meets the quality requirements.

5. The BIM-based floor deck quality monitoring method according to claim 4 is characterized in that: Determining the importance of each area includes: Determining the load distribution corresponding to the target floor deck; Determine a first importance level corresponding to each area based on the load distribution and the position corresponding to each area; Determine whether the target floor deck has special supporting components; If the target floor deck has a special supporting component, determining the second importance level corresponding to each area based on the area corresponding to the special supporting component; The importance level corresponding to each area is determined based on the first importance level and the second importance level.

6. The BIM-based floor deck quality monitoring method according to claim 4 is characterized in that: The environmental data includes a first curve of temperature changing over time and a second curve of humidity changing over time, and determining the degree of environmental impact of the environmental data on the target floor deck includes: Obtaining a first standard curve and a second standard curve corresponding to the target floor deck, wherein the first standard curve is a standard curve of temperature changing over time, and the second standard curve is a standard curve of humidity changing over time; Determining the degree of temperature influence based on the first curve and the first standard curve; Determining the degree of humidity influence based on the second curve and the second standard curve; Based on the temperature influence degree and the humidity influence degree, the environmental influence degree of the environmental data on the target floor deck is determined.

7. The method for monitoring floor deck quality based on BIM according to any one of claims 1 to 6, characterized in that: After determining whether the current quality of the target floor decking plate meets the quality requirements, the method further includes: If the current quality of the target floor deck meets the quality requirement, marking the stress data and the environmental data on the target floor deck in the construction BIM model; If the current quality of the target floor deck does not meet the quality requirement, quality alarm information is generated and displayed on the target floor deck of the construction BIM model.

8. A BIM-based floor deck quality monitoring device, characterized in that: include: The first acquisition module is used to acquire the monitoring video collected by the drone in the current period in real time, and filter out the monitoring video clips containing the construction process from the monitoring video; An extraction module is used to extract construction features from the surveillance video clips and update the construction BIM model in real time based on the extracted construction features; A first determination module is used to determine whether there is a target floor deck in the construction BIM model, and the target floor deck is a floor deck hoisted into the construction building in the current cycle; A second acquisition module is used to acquire stress data and environmental data of the target floor deck in a current cycle if there is a target floor deck in the construction BIM model, wherein the environmental data includes temperature and humidity; The second determination module is used to determine whether the current quality of the target floor deck meets the quality requirements based on the stress data and the environmental data.

9. An electronic device, characterized in that: The electronic device includes: at least one processor; Memory; At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute the BIM-based floor deck quality monitoring method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed in a computer, the computer is caused to execute the BIM-based floor deck quality monitoring method according to any one of claims 1 to 7.

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