Field model dynamic checking system based on BIM model and construction method applying same

Abstract

The invention discloses a field model dynamic checking system based on a BIM model and a construction method applying the same, and relates to the technical field of BIM-based building construction, and the system comprises a plurality of distance measurement units which are respectively arranged at a project site and are used for detecting the distance between the distance measurement units and a human body; the communication module is used for establishing communication data connection among the system components; the intelligent platform loads a BIM model of a project site, establishes data connection with the distance measurement unit and is used for data integration and site checking; and the AR wearable device is worn by a worker, is interconnected with the intelligent platform and is used for displaying a model picture of a corresponding site to the worker. The method has the advantages that the BIM technology can better fall into the project, and therefore the application income is improved.

Description

Technical Field

[0001] The present application relates to the technical field of building construction based on BIM, and in particular to a field model dynamic verification system based on a BIM model and a construction method using the same. Background Art

[0002] As an important part of the digital construction transformation, BIM technology has been continuously promoted and popularized in my country. More and more projects have listed BIM technology as one of the engineering technologies that must be applied.

[0003] In the existing application of BIM technology in engineering, pipeline in-depth design to guide on-site mechanical and electrical installation is a relatively common application. However, regardless of the size of the project, there is a common problem, that is, the BIM model review process is cumbersome, the implementation rate of BIM-guided on-site installation is low, and the efficiency of model results conversion is low, resulting in the input and output of enterprise technical management personnel being disproportionate, affecting the enterprise's BIM application efficiency. Therefore, this application proposes a new technical solution. Summary of the invention

[0004] In order to better implement BIM technology in projects and improve application benefits, this application provides a field model dynamic verification system based on BIM model and a construction method using the system.

[0005] In the first aspect, the present application provides a field model dynamic verification system based on a BIM model, which adopts the following technical solutions:

[0006] A field model dynamic verification system based on BIM model, comprising:

[0007] Distance measuring units, which are multiple and are respectively arranged at the project site for detecting the distance from the human body;

[0008] A communication module, which is used to establish a communication data connection between system components;

[0009] Smart platform, which loads the BIM model of the project site, establishes data connection with the distance measurement unit and is used for data integration and on-site verification; and,

[0010] AR wearable devices are worn by staff, connected to the smart platform and used to show staff the model images of the corresponding site.

[0011] Optionally, a hazard source perception module is installed on the AR wearable device, the AR wearable device includes AR glasses and the lenses of the AR glasses are monocular, and the smart platform is configured to: identify the hazard source based on the perception data generated by the hazard perception module, and send warning information to the AR glasses.

[0012] Optionally, the AR glasses are integrated with a gesture sensing unit and a human-computer interaction unit, the human-computer interaction unit includes a physical function button and / or an audio pickup and playback unit, and the smart platform is configured as follows:

[0013] Identify the information uploaded by the AR glasses; and,

[0014] If the recognition result is triggered by the human-computer interaction unit, respond according to the recognition result; wherein responding according to the recognition result includes:

[0015] If the recognition result meets the predefined verification data export condition, the current verification data export action is executed; and,

[0016] If the recognition result meets the predefined model composition display adjustment condition, the corresponding model composition hiding action / display action is executed.

[0017] Optionally, the AR glasses are integrated with a visual perception module, and the smart platform is configured as follows:

[0018] Obtain image data collected by the visual perception module;

[0019] If the information recognition result uploaded by the AR glasses is triggered by the human-computer interaction unit and meets the predefined difference recording conditions, the image of the current scene is compared with the model image to obtain comparison data and / or the image of the current scene is superimposed with the model image and the superimposed image is recorded.

[0020] Optionally, it also includes a guiding module and a moving module, wherein the guiding module is used to form a guiding path at the project site, the ranging unit is arranged on the moving module, and the smart platform is configured to control the moving module to follow the person wearing the AR glasses to move on the guiding path.

[0021] Optionally, the guiding module includes three through-beam laser sensors arranged in parallel and at intervals, the moving module moves along the path of the light beam emitted by the through-beam laser sensor located in the middle position, and the intelligent platform is configured as follows: the controller controlling the moving module continuously verifies the through-beam signals fed back by the three through-beam laser sensors.

[0022] Optionally, the smart platform is further configured as:

[0023] If the predefined AR glasses wearing pre-inspection condition is received, the preset model image skew judgment logic is executed. If the model image is judged to be skewed left and right and / or up and down, the imaging angle of the model image is adjusted and a preset matching prompt is generated;

[0024] The model image skew discrimination logic includes:

[0025] If there is an angle between the lower edge of the model image and the lower edge of any wall at the project site, the model image is judged to be skewed left or right;

[0026] It is determined whether the model image is skewed up and down based on the perception data fed back by the posture perception module. If so, it is determined that the model image is skewed up and down.

[0027] In the second aspect, the present application provides a construction method using a field model dynamic verification system based on a BIM model, which adopts the following technical solutions:

[0028] A construction method using a field model dynamic verification system based on a BIM model comprises the following steps:

[0029] S1, project start;

[0030] S2. Select software and platform;

[0031] S3. Complete the in-depth design of BIM pipelines;

[0032] S4, model implantation into smart platform and AR glasses;

[0033] S5. Construction of 5G network and radar equipment for the project;

[0034] S6, IoT data debugging;

[0035] S7, on-site dynamic review;

[0036] S8. Record parameters and feedback issues;

[0037] S9, model update;

[0038] S10. Deliver the final consistent field model results.

[0039] To summarize, the present application includes the following beneficial technical effects: users can wear AR glasses to conduct a dynamic check of the direction and position in the network coverage area, and the information will be transmitted to the smart platform in real time. The background can synchronize multiple people online to review and communicate through the on-site images. Entities at different on-site locations can correspond to the models imaged by AR glasses, and dynamic IoT verification can be achieved by comparing various parameters. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 It is a schematic diagram of the system structure of an embodiment of the present application.

[0041] Figure 2 It is a schematic diagram of the structure of the AR glasses according to an embodiment of the present application.

[0042] Figure 3 It is a schematic diagram of the equipment layout of the application scenario of the embodiment of the present application. DETAILED DESCRIPTION

[0043] The following is combined with Figure 1-3 This application is described in further detail.

[0044] The embodiment of the present application discloses a field model dynamic verification system based on a BIM model.

[0045] Reference Figure 1 The field model dynamic verification system based on the BIM model includes a ranging unit, a communication module, a smart platform and an AR wearable device.

[0046] In this embodiment, the ranging unit includes a laser radar, which is arranged in multiple locations of column bases at the project site. It transmits the positioning information in real time to the cloud computing platform based on the BIM model by receiving 5G signals and locating the distance of the AR glasses worn by the user.

[0047] The communication module includes a 5G network base station installed at the project site, which is used to establish communication data connections between system components. Installed at the project construction site, it can achieve regional coverage of high-speed networks and provide real-time information feedback.

[0048] The smart platform includes a big data cloud processing platform, which is used to integrate models and on-site information. It is the carrier of the BIM model and can fully receive and display all information of BIM technology. At the same time, it can receive on-site information such as verification positioning, pipeline parameters, safety warnings, etc., complete data integration calculations, and realize efficient model dynamic verification actions.

[0049] Reference Figure 2 The AR wearable device includes AR glasses, and the lenses of the AR glasses are monocular. In this embodiment, the style of the AR glasses is as follows: Figure 2 As shown, the overall structure is C-shaped, and the opening of the C-shaped structure faces the front of the face when worn on the head; one end of the C-shaped structure cooperates with the L-shaped frame to install the lens module of the AR glasses in a rotating and fixed connection manner; it can be understood that the shell of the AR glasses is integrated with chips, battery modules, 5G communication units and other circuit components to meet the basic functions of the AR glasses; when in use, the AR glasses display the received image data on the lenses through the projection elements in the lens module.

[0050] AR glasses are worn by staff, connected to the smart platform and used to show the staff the model screen of the corresponding site. By setting up a single eye, it is possible to realize efficient comparison of binocular recognition of real scenes and virtual scenes of in-depth models when conducting model verification on site. Secondly, a satellite positioning device is implanted in the AR glasses, so that the AR glasses can locate the direction, so that the model screen corresponding to the virtual space can be generated synchronously according to the wearer's line of sight. The imaging space effect of the AR glasses is based on a complete BIM in-depth model, which is projected into the lens through a projection element, that is, the glasses can realize high-definition virtual scene browsing of the model. It should be noted that the imported BIM in-depth model requires high-precision support, and the standard is not lower than LOD400, so as to facilitate the viewer's real scene experience.

[0051] Through the above settings, after setting up the platform, radar and 5G base station, users can wear AR glasses to conduct a dynamic inspection of the direction and location in the network coverage area. At this time, the information will be transmitted to the big data cloud platform in real time, and the background can synchronize multiple people online to review and communicate through the on-site images. Entities at different on-site locations can correspond to the models imaged by high-precision AR glasses, and dynamic IoT verification can be achieved by comparing various parameters.

[0052] Reference Figure 3 In another embodiment of the present application, since a number of edge openings (for example, maintenance well openings, elevator well openings, and buried electrical cabinet grooves) will be arranged at the project site, in order to prevent the staff from not noticing the openings after wearing AR glasses, a hazard source perception module is installed on the AR glasses. In this embodiment, the hazard source perception module includes (miniaturized) millimeter-wave radars, acoustic wave detectors, and the like. The layout of the hazard source perception module is intended to detect architectural features that are different from other areas, such as abrupt height differences, protrusions, and depressions, in order to cooperate with the smart platform for hazard perception and reduce safety hazards caused by interference with vision when using AR glasses.

[0053] Specifically: the hazard source perception module is connected to the smart platform through the communication unit of the AR glasses. The smart platform is configured to identify the hazard source based on the perception data output by the hazard perception module and send warning information to the AR glasses. Example: Pre-store data samples when the building edge opening is detected. If the current returned data meets the sample comparison similarity, it is determined that a hazard source has appeared and the hazard source is an edge opening, and the determination result is sent to the AR glasses as a warning message.

[0054] It is understandable that after the laser radar set up on the project site accurately locates the user and the AR glasses, it will be synchronized on the big data cloud platform, and the information will be fed back to the AR glasses after the user is quickly located. The millimeter wave radar can monitor the position of the surrounding edge openings and quickly and accurately calculate and feed back the data in the cloud platform BIM model when the user moves. When the user is close to the dangerous area and cannot identify it, an alarm will be issued to improve the safety of on-site inspections.

[0055] In order to facilitate on-site data verification, the following settings are made:

[0056] The AR glasses integrate a gesture perception unit and a human-computer interaction unit, and the human-computer interaction unit includes physical function buttons and / or an audio pickup and playback unit.

[0057] In this embodiment, the posture sensing unit includes a gyroscope, which is built into the housing of the AR glasses and is located in a C-shaped structure. It follows the movement of the AR glasses and transmits the detection signal to the main circuit board where the chip of the AR glasses is located through a wire.

[0058] Examples of the above-mentioned physical function buttons include: a confirmation button, which is installed in a C-shaped structure and whose electrical signal is connected to the chip of the AR glasses, and is used for confirmation during human-computer interaction, or for confirming the focus of the camera; an SOS emergency button, which is installed similarly to the previous button and sends a preset SOS request to the smart platform after the chip contacts the signal generated by its touch; up / down / left / right movement buttons, which are installed in a similar manner and are used to cooperate with the confirmation button for screening; a return button, which is installed in a similar manner and is used to realize the return function.

[0059] The above-mentioned audio pickup and playback unit is built into the casing of the AR glasses and the casing has holes for sound to enter and exit. The audio pickup and playback unit can be a miniature pickup unit and a miniature speaker. Its design advantages are: on the one hand, it allows staff to use the system in the form of voice communication, and on the other hand, it can omit some of the above-mentioned buttons, such as: up / down / left / right movement buttons.

[0060] The posture perception unit and the human-computer interaction unit are connected to the smart platform through the communication unit of the AR glasses. The configuration of the smart platform is as follows:

[0061] 1) Identify the information uploaded by the AR glasses; and

[0062] 2) If the recognition result is triggered by the human-computer interaction unit, respond according to the recognition result; wherein responding according to the recognition result includes:

[0063] 3) If the recognition result meets the predefined verification data export conditions, the current verification data export action is executed;

[0064] It is understandable that the verification data export condition can be that the staff selects the data export function by pressing the physical function button, and the smart platform has a voice recognition function, or the staff can input "export data" through voice.

[0065] 4) If the recognition result meets the predefined model composition display adjustment condition, the corresponding model composition hiding action / display action is executed.

[0066] It is understandable that the adjustment condition for whether the model composition is displayed can be that the staff selects the hide / show function by pressing a physical function key, or the staff can input "hide model composition" or "show model composition" through voice.

[0067] Through the above settings, the electromechanical pipeline data that can be displayed, including material, size, height from the ground, etc., can be controlled by AR glasses buttons or voice input to determine whether to display, as well as the export of data, thereby facilitating on-site data verification.

[0068] In another embodiment of the present application, in order to facilitate the comparison of the actual situation at the project site with the AR imaging, the AR glasses are integrated with a visual perception module, which includes a camera installed on the outside of one end of the C-shaped structure, located on the side of the human temple when worn, and its shooting direction matches the line of sight when the human body observes the behavior. The visual perception module is connected to the smart platform data, and the smart platform is configured as follows:

[0069] Obtain image data collected by the visual perception module;

[0070] If the information recognition result uploaded by the AR glasses is triggered by the human-computer interaction unit and meets the predefined difference recording conditions, the image of the current scene is compared with the model image to obtain comparison data and / or the image of the current scene is superimposed with the model image and the superimposed image is recorded.

[0071] It is understandable that when the staff finds that the actual situation on the scene is inconsistent with the AR imaging comparison or the deepening is unreasonable, the staff can press the physical function button or use voice input "difference record" to take a picture of the current scene and store the record in the database, and compare it with the model image to obtain the comparison data, so as to facilitate subsequent modification and maintenance work. Secondly, it is also possible to superimpose the image of the current scene with the model image and record the superimposed image, so that subsequent staff can compare more intuitively.

[0072] In another embodiment of the present application, since the angle of the lens will be different for each person when wearing AR glasses, if the lens is crooked, it will affect the layer superposition data of the above-mentioned AR imaging and the scene image, so it is set as follows: The smart platform is also configured as follows:

[0073] If the predefined AR glasses wearing pre-inspection conditions are met, the preset model image skew judgment logic is executed. If the model image is judged to be skewed left and right and / or up and down, the imaging angle of the model image is adjusted and a preset matching prompt is generated;

[0074] The image skew discrimination logic includes:

[0075] If there is an angle between the lower edge of the model image and the lower edge of any wall at the project site, the model image is judged to be skewed left or right;

[0076] It is determined whether the model image is skewed up and down based on the perception data fed back by the posture perception module. If so, it is determined that the model image is skewed up and down.

[0077] It can be understood that the AR glasses wearing pre-inspection conditions refer to embedding an infrared sensing sensor on the inner side of the AR glasses facing the human head, and judging whether the AR glasses are worn through the signal fed back by the infrared sensing sensor. At the same time, the wearer must also look forward and keep his head straight, which meets the AR glasses wearing pre-inspection conditions, and then the model image skew judgment logic is executed.

[0078] If the lens is tilted left or right, the lower edge of the model image is not parallel to the lower edge of the wall at any location on the project site, that is, there is an angle. The imaging angle of the model image is adjusted until the image is parallel to the lower edge of the wall, indicating that the image is adjusted. If the lens is tilted up or down, it can be known through the perception data fed back by the gyroscope, so as to adjust the imaging angle of the model image so that the image is not tilted up or down, and then make the layer superposition data of the on-site image and the model image more accurate in the subsequent verification and comparison process.

[0079] In another embodiment of the present application, in order to reduce the deployment of laser radars and reduce costs, the following configuration is adopted: the system also includes a guiding module and a mobile module, the guiding module is used to form a guiding path at the project site, and the laser radar is installed on the mobile module.

[0080] The mobile module includes a vehicle body and a power source that drives the vehicle body to move. It can be understood that the power source should at least include wheels rotatably connected to the vehicle body, a power motor that drives the corresponding shaft of the wheel to rotate, a motor controller, and a data transmission module that allows the motor controller to be remotely controlled. The data transmission module can adopt a 5G communication module and a WIFI module on the basis of the above; there should be multiple wheels, for example: four, one pair of which is distributed on both sides of the vehicle body and is driven independently to meet steering requirements.

[0081] The smart platform is configured to control the mobile module to follow the person wearing AR glasses on the guide path. It is understandable that the mobile module is equipped with a laser radar to follow the person wearing AR glasses on the set guide path, so as to not only locate the position of the person, but also reduce the number of laser radars deployed.

[0082] The guiding module includes three parallel and spaced-apart through-beam laser sensors, so that the beams emitted by the three through-beam laser sensors are parallel, and the moving module moves along the beam emitted by the through-beam laser sensor located in the middle, and the other two laser lines are located on both sides of the vehicle body at the correct position and close to (e.g., 1-3 cm apart) the side of the vehicle body. The guiding module is equipped with at least one data transmission module, which can be a Bluetooth, WIFI or other module. The intelligent platform is configured as follows: the controller that controls the moving module continuously verifies the through-beam signals fed back by the three through-beam laser sensors.

[0083] It can be understood that the controller of the power source in the mobile module is connected to the three opposing laser sensors in a wireless manner, and the mobile module moves along the trajectory of the light beam emitted by the opposing laser sensor in the middle position. Functional example: Assuming that the signal of the opposing laser sensor is 0 when it is correctly opposing, and is 1 when the opposing laser line is blocked, then since the laser emitted by the opposing laser sensor in the middle position is cut off by the mobile module, the opposing signal it feeds back is 1, and when the mobile module keeps moving smoothly, the lasers emitted by the opposing laser sensors on both sides will not be blocked by the mobile module, then the opposing signals fed back by the opposing laser sensors on both sides are both 0, and the signals output by the three opposing laser sensors received by the controller of the mobile module constitute the code "010";

[0084] When the mobile module deviates to either side, the signals output by the three through-beam laser sensors received by the controller of the mobile module constitute the code "110" or "011", which means that the mobile module has deviated from the guide path. The moving direction of the mobile module is then corrected until the signals output by the three through-beam laser sensors received by the controller of the mobile module constitute the code "010".

[0085] Through the above arrangement, the mobile module can move more accurately along the guide path, and more accurate personnel positioning data can be obtained. In other embodiments, the guide module can also be a guide rod arranged at the project site, and the mobile module slides along the guide rod.

[0086] The embodiment of the present application also discloses a construction method using a field model dynamic verification system based on a BIM model.

[0087] A construction method using any of the above-mentioned field model dynamic verification systems based on the BIM model comprises the following steps:

[0088] S1, project start;

[0089] S2. Select software and platform;

[0090] Specify the software and construction platform to be used. The software is 3D modeling software, which can be traditional BIM modeling software. The purpose is to express and present building information in the form of models, but the format needs to be interoperable and convertible to facilitate the transmission of cloud platform interconnection and the layout of subsequent AR scenes.

[0091] S3. Complete the in-depth design of BIM pipelines;

[0092] Pipeline deepening requires a high-precision model with detailed data that cannot be lower than LOD400, so that the model can accurately express the on-site conditions, mainly including pipeline material, clear height, spacing, equipment and valve installation, support and hanger layout and other installation information.

[0093] S4, model implantation into smart platform and AR glasses;

[0094] After perfecting the BIM model, the model will be embedded in a big data cloud platform and AR glasses with interoperable formats, laying the foundation for subsequent information transmission and technical review applications.

[0095] S5. Construction of 5G network and radar equipment for the project;

[0096] This step can be carried out simultaneously with S4, mainly to build high-speed project site network coverage. In the early stage of project construction, the operator's final equipment has not yet been used, so a stable network system is required.

[0097] S6, IoT data debugging;

[0098] The cloud platform and AR glasses data transmission are interconnected, and with the support of 5G, real-time information feedback can be achieved without delay, so that users of AR glasses can accurately locate their displacement and review viewing angle based on satellites and lidar after wearing the glasses, and present model information in a timely manner.

[0099] S7, on-site dynamic review;

[0100] The model can be reviewed based on the comparison between the monocular AR glasses and the actual completion of the on-site installation. The user's perspective during the on-site inspection can be transmitted back to the backend cloud platform in real time through the camera of the AR glasses. Other managers can participate in the review online through the real-time field-model comparison perspective transmitted by the platform without having to be on site, thereby improving the work efficiency of multi-person online verification.

[0101] S8. Record parameters and feedback issues;

[0102] After dynamic verification at the construction site, the problems are recorded to facilitate subsequent model maintenance and updating.

[0103] S9, model update;

[0104] The software used above can be updated and synchronized on the corresponding cloud platform, so that the background data and AR glasses information can be updated in time. It should be noted that after completing the model and data update, the above dynamic review steps should be repeated to repeatedly check for errors and omissions on site. This step can mainly be used to efficiently and accurately compare and thus discover problems.

[0105] S10. Deliver the final consistent field model results.

[0106] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A field model dynamic verification system based on BIM model, characterized in that: include: Distance measuring units, which are multiple and are respectively arranged at the project site for detecting the distance from the human body; A communication module, which is used to establish a communication data connection between system components; Smart platform, which loads the BIM model of the project site, establishes data connection with the distance measurement unit and is used for data integration and on-site verification; and, AR wearable devices are worn by staff, connected to the smart platform and used to show staff the model images of the corresponding site.

2. The field model dynamic verification system based on the BIM model according to claim 1 is characterized in that: The AR wearable device is equipped with a hazard source perception module, the AR wearable device includes AR glasses, and the lenses of the AR glasses are monocular. The smart platform is configured to: identify hazard sources based on perception data generated by the hazard perception module, and send warning information to the AR glasses.

3. The field model dynamic verification system based on the BIM model according to claim 1 is characterized in that: The AR glasses are integrated with a gesture sensing unit and a human-computer interaction unit, the human-computer interaction unit includes a physical function button and / or an audio pickup and playback unit, and the smart platform is configured as follows: Identify the information uploaded by AR glasses; as well as, If the recognition result is triggered by the human-computer interaction unit, respond according to the recognition result; wherein responding according to the recognition result includes: If the recognition result meets the predefined verification data export condition, the current verification data export action is executed; and, If the recognition result meets the predefined model composition display adjustment condition, the corresponding model composition hiding action / display action is executed.

4. The field model dynamic verification system based on the BIM model according to claim 3 is characterized in that: The AR glasses are integrated with a visual perception module, and the smart platform is configured as follows: Obtain image data collected by the visual perception module; If the information recognition result uploaded by the AR glasses is triggered by the human-computer interaction unit and meets the predefined difference recording conditions, the image of the current scene is compared with the model image to obtain comparison data and / or the image of the current scene is superimposed with the model image and the superimposed image is recorded.

5. The field model dynamic verification system based on the BIM model according to claim 1 is characterized in that: It also includes a guiding module and a moving module. The guiding module is used to form a guiding path at the project site. The ranging unit is arranged on the moving module. The smart platform is configured to control the moving module to follow the person wearing the AR glasses to move on the guiding path.

6. The field model dynamic verification system based on the BIM model according to claim 5 is characterized in that: The guiding module includes three through-beam laser sensors arranged in parallel and at intervals. The moving module moves along the path of the light beam emitted by the through-beam laser sensor located in the middle position. The intelligent platform is configured as follows: a controller controlling the moving module continuously verifies the through-beam signals fed back by the three through-beam laser sensors.

7. The field model dynamic verification system based on the BIM model according to claim 3 is characterized in that: The smart platform is also configured as: If the predefined AR glasses wearing pre-inspection condition is received, the preset model image skew judgment logic is executed. If the model image is judged to be skewed left and right and / or up and down, the imaging angle of the model image is adjusted and a preset matching prompt is generated; The model image skew discrimination logic includes: If there is an angle between the lower edge of the model image and the lower edge of any wall at the project site, the model image is judged to be skewed left or right; It is determined whether the model image is skewed up and down based on the perception data fed back by the posture perception module. If so, it is determined that the model image is skewed up and down.

8. A construction method using the field model dynamic verification system based on the BIM model as described in any one of claims 1 to 7, characterized in that: The steps include: S1, project start; S2. Select software and platform; S3. Complete the in-depth design of BIM pipelines; S4, model implantation into smart platform and AR glasses; S5. Construction of 5G network and radar equipment for the project; S6, IoT data debugging; S7, on-site dynamic review; S8. Record parameters and feedback issues; S9, model update; S10. Deliver the final consistent field model results.

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