A smart glasses-based decoration construction process guiding and deviation correction system
Patent Information
- Application Number
- CN202611095147.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-07-22
- Publication Date
- 2026-09-25
AI Technical Summary
[0004]本发明的目的在于提供一种基于智能眼镜的装修施工工序引导与偏差纠正系统,以解决上述背景技术中提出现有AR眼镜系统未针对装修装饰的精细化工艺进行针对引导的问题
步骤三:若偏差超出允许阈值,系统通过语音与AR引导模块输出纠正提示,并在AR图像中标注偏差位置与修正方向;
Smart Images

Figure CN122820009A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of decoration construction guidance and AR technology, specifically a decoration construction process guidance and deviation correction system based on smart glasses. Background Technology
[0002] In the construction process of decoration and renovation projects, construction guidance refers to providing construction workers with operation instructions such as the operation steps and standard process parameters of the current process, thereby ensuring construction quality. In recent years, augmented reality technology has begun to be applied in the field of building construction, for example, by displaying building information models or assisting in structural acceptance through AR smart glasses.
[0003] Current renovation and construction rely on paper drawings and the experience of construction workers, which can easily lead to errors in procedures and construction deviations. Existing AR glasses systems are mostly designed to guide construction in building projects, but do not provide targeted guidance for the refined processes of interior decoration, such as latex paint application, wood flooring installation, and wallpapering, thus failing to correct construction deviations in real time. Summary of the Invention
[0004] The purpose of this invention is to provide a construction process guidance and deviation correction system based on smart glasses, in order to solve the problem mentioned in the background art that existing AR glasses systems do not provide targeted guidance for the refined processes of decoration.
[0005] To achieve the above objectives, the present invention provides the following technical solution: a decoration construction process guidance and deviation correction system based on smart glasses, comprising a perception and execution layer, a processing and decision-making layer, and a management and recording layer. The perception and execution layer, processing and decision-making layer, and management and recording layer are respectively connected to a central processing unit. The perception and execution layer is used to collect data from the construction site and execute AR content overlay display and voice broadcast. The processing and decision-making layer is communicatively connected to the perception and execution layer and is used to process the data, identify construction deviations, and generate guidance instructions. The management and recording layer is communicatively connected to the processing and decision-making layer and is used to store construction records and generate traceability reports. The perception and execution layer includes an AR smart glasses terminal module and a voice and AR guidance module; The processing and decision-making layer includes a process guidance module and a deviation identification module; The management and recording layer includes a recording and traceability module; Preferably, the AR smart glasses terminal module in the perception and execution layer is used to acquire visual and spatial data of the construction site in real time and overlay AR guidance information onto the surface of the construction object; The AR smart glasses terminal module includes a visual recognition unit, a spatial positioning unit, a laser ranging unit, and an AR projection unit. The visual recognition unit is equipped with a camera, which is used to collect image data of the construction surface, texture, and edges. The spatial positioning unit is equipped with a SLAM algorithm to achieve alignment of AR annotations with the construction site. The laser ranging unit is equipped with a laser ranging sensor. The AR projection unit is equipped with an optical perspective display, which is used to overlay standard construction data onto the surface of the construction object.
[0006] By adopting the above technical solution, real-time acquisition of construction data and AR projection overlay can be achieved.
[0007] Preferably, the voice and AR guidance module in the perception and execution layer receives guidance instructions from the processing and decision-making layer, outputs correction prompts via voice, and outputs AR visual annotations. The AR guidance module includes a voice prompt unit and a projection prompt unit. The voice prompt unit receives guidance instructions from the processing and decision-making layer, synthesizes and outputs voice broadcasts, prompting construction personnel about the deviation position, value, and correction operation. The projection prompt unit is connected to the AR projection unit in the AR smart glasses terminal module. The connection between the projection prompt unit and the AR projection unit is used to overlay and display deviation annotations, standard contours, or virtual ruler AR visual information on the surface of the construction object.
[0008] By adopting the above technical solution, dual guidance of voice and AR visualization can be achieved, thereby improving the efficiency of error correction.
[0009] Preferably, the process guidance module in the processing and decision-making layer includes a standard process model library. This library stores standard process models for decoration techniques, each model including process sequence information, standard construction parameters, and deviation judgment rules. The process sequence information contains the construction steps of the decoration process, and the standard construction parameters include flatness. Gap width ,spacing and coating thickness The deviation judgment rule includes the allowable deviation threshold of the construction parameters and the corresponding correction methods.
[0010] By adopting the above technical solutions, standardized guidance of procedures can be achieved, thereby improving the accuracy of construction.
[0011] Preferably, the deviation identification module in the processing and decision-making layer has a built-in deviation detection model. The deviation detection model receives real-time construction data collected by the perception and execution layer, and outputs a quantitative deviation value between the current construction parameters and the standard construction parameters after inputting into the deviation detection model, and determines whether the deviation exceeds the allowable threshold. The deviation detection model includes a feature extraction unit, a comparison calculation unit, and a threshold determination unit; the feature extraction unit extracts the geometric features of the construction surface from the acquired images and point cloud data; the geometric features include flatness. Gap width ,spacing and coating thickness The calculation formula of the comparison calculation unit is: in, This refers to the parameter deviation value; These are measured parameter data; These are standard construction parameters; The threshold determination unit, based on the preset allowable deviation thresholds in the standard process model library, determines the thresholds for different parameters. Determine the deviation value: like If the value exceeds the corresponding threshold, it is determined that the deviation is out of control, and the type of parameter that exceeds the control, the direction of deviation, and the value of deviation are output.
[0012] By adopting the above technical solution, real-time detection and deviation determination of construction parameters can be achieved.
[0013] Preferably, the recording and traceability module in the management and recording layer includes a data uploading unit and a traceability report generation unit; the data uploading unit uploads the construction personnel's identity information, construction time, construction process parameters, quality inspection results, deviation identification results, and correction operation records to the blockchain node to form an immutable construction record; the traceability report generation unit generates a construction quality traceability report according to the query instructions of the project manager.
[0014] By adopting the above technical solution, construction data can be stored to facilitate data traceability.
[0015] Preferably, the recording and traceability module includes a rectification closed-loop management unit, which automatically generates a rectification task after the deviation identification module determines that the deviation exceeds the standard, and pushes the rectification requirements to the construction personnel through the AR smart glasses terminal module; after the rectification is completed, the system re-collects the construction data and verifies the rectification results until the deviation meets the standard, then records the closed-loop information and uploads it to the blockchain.
[0016] By adopting the above technical solution, closed-loop verification of the rectification can be achieved.
[0017] Preferably, the usage process of the system is as follows: Step 1: Construction workers wear AR smart glasses from the AR smart glasses terminal module. The system loads the standard process model for the current process and overlays the standard construction parameters onto the surface of the construction object through the AR projection unit. Step 2: The AR smart glasses collect construction data in real time and identify the deviation between the current construction parameters and the standard parameters through the deviation recognition module; Step 3: If the deviation exceeds the allowable threshold, the system will output a correction prompt through the voice and AR guidance module, and mark the location of the deviation and the direction of correction in the AR image; Step 4: After the construction personnel complete the rectification according to the guidance, the system re-collects data and verifies the rectification results to form a closed-loop record; Step 5: Upload construction records, deviation data, rectification results, and responsibility information to the blockchain to generate a traceable quality report for the management platform to access.
[0018] By adopting the above technical solution and through the above process, AR guidance and real-time correction can be achieved during the construction process.
[0019] Compared with the prior art, the beneficial effects of the present invention are: the smart glasses-based decoration construction process guidance and deviation correction system: 1. In this invention, an AR smart glasses terminal module is set up to work with the processing and decision-making layer to overlay the standard process model of the decoration process onto the surface of the construction object and collect construction data in real time for comparison. When the deviation recognition module detects that the real-time construction parameter deviation exceeds the allowable threshold, it guides the construction personnel to make adjustments through voice prompts and AR visual annotations, thereby avoiding the problem of process errors caused by traditional decoration relying on paper drawings and manual experience, and improving the qualification rate of decoration construction. 2. This invention includes a recording and traceability module that uploads key data from the construction process to a blockchain node, creating an immutable construction record. Simultaneously, the rectification closed-loop management unit ensures a closed-loop process for detecting, rectifying, and verifying compliance with standards. Operators can access traceable quality reports as needed, providing data support for construction and acceptance. Attached Figure Description
[0020] Figure 1 This is a schematic diagram of the system architecture of the present invention; Figure 2 This is a schematic diagram of the AR smart glasses terminal module structure of the present invention; Figure 3 This is a schematic diagram of the connection structure between the voice and AR guidance module of the present invention. Detailed Implementation
[0021] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0022] Please see Figures 1-3 The present invention provides a technical solution: a decoration construction process guidance and deviation correction system based on smart glasses.
[0023] The perception and execution layer, processing and decision-making layer, and management and recording layer are all connected to the central processing unit. The perception and execution layer is used to collect data from the construction site and execute AR content overlay display and voice broadcast. The processing and decision-making layer communicates with the perception and execution layer and is used to process data, identify construction deviations, and generate guidance instructions. The management and recording layer communicates with the processing and decision-making layer and is used to store construction records and generate traceability reports. The perception and execution layer includes an AR smart glasses terminal module and a voice and AR guidance module; the processing and decision-making layer includes a process guidance module and a deviation recognition module; the management and recording layer includes a recording and traceability module. The AR smart glasses terminal module in the perception and execution layer is used to acquire real-time visual and spatial data of the construction site and overlay AR guidance information onto the surface of the construction object. The AR smart glasses terminal module includes a visual recognition unit, a spatial positioning unit, a laser ranging unit, and an AR projection unit. The visual recognition unit is equipped with a camera to collect image data of the construction surface, texture, and edges; the spatial positioning unit uses a SLAM algorithm to realize AR annotation and construction. The system includes: alignment at the construction site; a laser ranging unit equipped with a laser ranging sensor; an AR projection unit equipped with an optical perspective display to overlay standard construction data onto the surface of the construction object; a voice and AR guidance module in the perception and execution layer receiving guidance instructions from the processing and decision-making layer, outputting correction prompts via voice, and outputting AR visual annotations; the AR guidance module includes a voice prompt unit and a projection prompt unit; the voice prompt unit receives guidance instructions from the processing and decision-making layer, synthesizes and outputs voice broadcasts, prompting construction personnel on the deviation position, value, and correction operation; the projection prompt unit is connected to the AR projection unit in the AR smart glasses terminal module, and the projection prompt unit and AR projection unit are connected to overlay and display deviation annotations, standard contours, or virtual ruler AR visual information onto the surface of the construction object; a standard process model library is set up in the process guidance module in the processing and decision-making layer, which stores standard process models for decoration technology, including process sequence information, standard construction parameters, and deviation judgment rules; the process sequence information includes the construction steps of the decoration technology, and the standard construction parameters include flatness. Gap width ,spacing and coating thickness The deviation judgment rules include the allowable deviation thresholds for construction parameters and the corresponding correction methods. The deviation identification module in the processing and decision-making layer has a built-in deviation detection model. The deviation detection model receives real-time construction data collected by the perception and execution layers. After inputting into the deviation detection model, it outputs the quantitative deviation value between the current construction parameters and the standard construction parameters, and determines whether the deviation exceeds the allowable threshold. The deviation detection model includes a feature extraction unit, a comparison calculation unit, and a threshold determination unit. The feature extraction unit extracts the geometric features of the construction surface from the acquired images and point cloud data. The geometric features include flatness. Gap width ,spacing and coating thickness The calculation formula for the comparison calculation unit is: in, This refers to the parameter deviation value; These are measured parameter data; These are standard construction parameters; the threshold determination unit, based on the preset allowable deviation thresholds in the standard process model library, determines the thresholds for different parameters. Determine the deviation value: If If the deviation exceeds the corresponding threshold, it is judged as an excessive deviation. The system outputs the type of excessive parameter, the direction of the deviation, and the value of the deviation. The recording and traceability module in the management and recording layer includes a data uploading unit and a traceability report generation unit. The data uploading unit uploads the construction personnel's identity information, construction time, construction process parameters, quality inspection results, deviation identification results, and correction operation records to the blockchain node to form an immutable construction record. The traceability report generation unit generates a construction quality traceability report based on the query instructions of the project manager. The recording and traceability module includes a rectification closed-loop management unit, which automatically generates rectification tasks after the deviation identification module determines that the deviation exceeds the standard, and pushes the rectification requirements to the construction personnel through the AR smart glasses terminal module. After the rectification is completed, the system re-collects construction data and verifies the rectification results until the deviation meets the standard. After that, the closed-loop information is recorded and uploaded to the blockchain. like Figure 1 , Figure 2 and Figure 3 As shown, taking the application of latex paint in interior decoration as an example, this paper specifically illustrates the application of this system in the actual construction process. Construction workers wear AR smart glasses from the AR smart glasses terminal module to guide and correct deviations during putty layer application. The system executes the following steps: Step 1: The construction worker starts the system and selects "Putty Application" as the current process. The process guidance module in the processing and decision-making layer loads the standard process model corresponding to latex paint application from the standard process model library. This model includes standard construction parameters for putty application, such as standard coating thickness values. The permissible deviation threshold for flatness is Through the AR projection unit in the perception and execution layer, the thickness of the putty application is marked as 2mm and superimposed on the surface of the wall in AR visualization. At the same time, the voice prompt unit in the voice and AR guidance module issues a voice reminder: "The thickness of the putty application should be controlled at 2mm and applied evenly." Step Two: During the application of putty by the construction workers, the laser ranging unit and visual recognition unit in the AR smart glasses terminal module collect real-time data on the wall's flatness. The deviation recognition module in the processing and decision-making layer receives the aforementioned real-time construction data and obtains the actual flatness parameters through the feature extraction unit. And the flatness deviation value is calculated by comparing the calculation unit: Among them Standard flatness parameters, when the threshold determination unit detects a certain area Exceeding the allowable deviation threshold, such as locally. If the deviation exceeds 3mm, the system determines that the deviation is excessive. At this time, the projection prompt unit in the voice and AR guidance module works in conjunction with the AR projection unit to mark the deviation location in the AR image of the wall with a red highlighted area. At the same time, the voice prompt unit issues a voice reminder: "The flatness deviation here exceeds the standard, and the deviation value is..." "It needs to be re-polished"; Step 3: Construction workers, based on AR visual annotations and voice prompts, smooth and correct the deviation areas. After correction, the system re-collects the flatness data of the area through the AR smart glasses terminal module and compares it again through the deviation recognition module. If the recalculated flatness data is correct... Once the deviation falls back to the allowable threshold range, the system determines that the rectification is qualified, and the rectification closed-loop management unit in the recording and traceability module of the management and recording layer records the deviation discovery, rectification operation and verification results as closed-loop information. Step 4: The construction personnel identity information, construction time, putty thickness parameters, flatness test results, deviation identification results and rectification operation records collected during the above construction process are uploaded to the blockchain node by the data on-chain unit to form an immutable construction record. The system then automatically loads the next process, such as the standard model for latex paint surface layer construction, and continues to guide the construction. Step 5: The project manager can query the quality traceability report of this latex paint construction through the management platform, extract relevant construction records from the blockchain, and generate a traceable quality report containing deviation analysis, rectification closure proof and responsibility information for construction acceptance or quality review.
[0024] Working principle: The system's usage process is as follows: Construction workers wear AR smart glasses from the AR smart glasses terminal module. The system loads the standard process model for the current process and overlays the standard construction parameters onto the surface of the construction object through the AR projection unit. The AR smart glasses collect construction data in real time and identify the deviation between the current construction parameters and the standard parameters through the deviation recognition module. If the deviation exceeds the allowable threshold, the system outputs correction prompts through voice and AR guidance modules and marks the deviation location and correction direction in the AR image. After the construction workers complete the rectification according to the guidance, the system re-collects data and verifies the rectification results, forming a closed-loop record. The construction record, deviation data, rectification results, and responsibility information are uploaded to the blockchain to generate a traceable quality report for the management platform to access.
[0025] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention.
Claims
1. A construction process guidance and deviation correction system based on smart glasses, comprising a perception and execution layer, a processing and decision-making layer, and a management and recording layer, characterized in that: The perception and execution layer, processing and decision-making layer, and management and recording layer are respectively connected to the central processing unit. The perception and execution layer is used to collect data from the construction site and perform AR content overlay display and voice broadcast. The processing and decision-making layer is communicatively connected to the perception and execution layer. The processing and decision-making layer is used to process the data, identify construction deviations and generate guidance instructions. The management and recording layer is communicatively connected to the processing and decision-making layer. The management and recording layer is used to store construction records and generate traceability reports. The perception and execution layer includes an AR smart glasses terminal module and a voice and AR guidance module; The processing and decision-making layer includes a process guidance module and a deviation identification module; The management and recording layer includes a recording and traceability module.
2. The decoration construction process guidance and deviation correction system based on smart glasses according to claim 1, characterized in that: The AR smart glasses terminal module in the perception and execution layer is used to acquire visual and spatial data of the construction site in real time and overlay AR guidance information onto the surface of the construction object. The AR smart glasses terminal module includes a visual recognition unit, a spatial positioning unit, a laser ranging unit, and an AR projection unit. The visual recognition unit is equipped with a camera, which is used to collect image data of the construction surface, texture, and edges. The spatial positioning unit is equipped with a SLAM algorithm to achieve alignment of AR annotations with the construction site. The laser ranging unit is equipped with a laser ranging sensor. The AR projection unit is equipped with an optical perspective display, which is used to overlay standard construction data onto the surface of the construction object.
3. The decoration construction process guidance and deviation correction system based on smart glasses according to claim 2, characterized in that: The voice and AR guidance module in the perception and execution layer receives and processes guidance instructions from the decision-making layer, outputs correction prompts via voice, and outputs AR visual annotations. The AR guidance module includes a voice prompt unit and a projection prompt unit. The voice prompt unit receives and processes guidance instructions from the decision-making layer, synthesizes and outputs voice broadcasts, prompting construction personnel about the deviation position, value, and correction operation. The projection prompt unit is connected to the AR projection unit in the AR smart glasses terminal module. The connection between the projection prompt unit and the AR projection unit is used to overlay and display deviation annotations, standard contours, or virtual ruler AR visual information on the surface of the construction object.
4. The decoration construction process guidance and deviation correction system based on smart glasses according to claim 1, characterized in that: The process guidance module in the processing and decision-making layer includes a standard process model library. This library stores standard process models for decoration techniques, each model including process sequence information, standard construction parameters, and deviation judgment rules. The process sequence information contains the construction steps of the decoration process, and the standard construction parameters include flatness. Gap width ,spacing and coating thickness The deviation judgment rule includes the allowable deviation threshold of the construction parameters and the corresponding correction methods.
5. The decoration construction process guidance and deviation correction system based on smart glasses according to claim 1, characterized in that: The deviation identification module in the processing and decision-making layer has a built-in deviation detection model. The deviation detection model receives real-time construction data collected by the perception and execution layer, and outputs a quantitative deviation value between the current construction parameters and the standard construction parameters after inputting into the deviation detection model, and determines whether the deviation exceeds the allowable threshold. The deviation detection model includes a feature extraction unit, a comparison calculation unit, and a threshold determination unit; the feature extraction unit extracts the geometric features of the construction surface from the acquired images and point cloud data; the geometric features include flatness. Gap width ,spacing and coating thickness The calculation formula of the comparison calculation unit is: in, This refers to the parameter deviation value; These are measured parameter data; These are standard construction parameters; The threshold determination unit, based on the preset allowable deviation thresholds in the standard process model library, determines the thresholds for different parameters. Determine the deviation value: like If the value exceeds the corresponding threshold, it is determined that the deviation is out of control, and the type of parameter that exceeds the control, the direction of deviation, and the value of deviation are output.
6. The decoration construction process guidance and deviation correction system based on smart glasses according to claim 1, characterized in that: The recording and traceability module in the management and recording layer includes a data uploading unit and a traceability report generation unit. The data uploading unit uploads the construction personnel's identity information, construction time, construction process parameters, quality inspection results, deviation identification results, and correction operation records to the blockchain node to form an immutable construction record. The traceability report generation unit generates a construction quality traceability report based on the query instructions from the project manager.
7. A construction process guidance and deviation correction system based on smart glasses according to claim 6, characterized in that: The recording and traceability module includes a rectification closed-loop management unit, which automatically generates rectification tasks after the deviation identification module determines that the deviation exceeds the standard, and pushes the rectification requirements to the construction personnel through the AR smart glasses terminal module; after the rectification is completed, the system re-collects construction data and verifies the rectification results until the deviation meets the standard, then records the closed-loop information and uploads it to the blockchain.
8. The decoration construction process guidance and deviation correction system based on smart glasses according to claim 1, characterized in that: The usage process of the system is as follows: Step 1: Construction workers wear AR smart glasses from the AR smart glasses terminal module. The system loads the standard process model for the current process and overlays the standard construction parameters onto the surface of the construction object through the AR projection unit. Step 2: The AR smart glasses collect construction data in real time and identify the deviation between the current construction parameters and the standard parameters through the deviation recognition module; Step 3: If the deviation exceeds the allowable threshold, the system will output a correction prompt through the voice and AR guidance module, and mark the location of the deviation and the direction of correction in the AR image; Step 4: After the construction personnel complete the rectification according to the guidance, the system re-collects data and verifies the rectification results to form a closed-loop record; Step 5: Upload construction records, deviation data, rectification results, and responsibility information to the blockchain to generate a traceable quality report for the management platform to access.