A method, device, electronic device, and medium for monitoring engineering quality based on intelligent robot monitoring

Abstract

The present invention relates to a project quality monitoring method, device, electronic device, and medium based on intelligent robot monitoring. The present application relates to the technical field of intelligent robot monitoring. The detection route of the intelligent robot is determined according to multiple mechanical detection points, the layout diagram of the building, and the spatial channels of the building. It is compatible with the overall consideration of multiple mechanical detection points, the layout diagram of the building, and the spatial channels of the building, and realizes precise control of the detection route of the intelligent robot. Multiple steel bar detection areas are determined based on the detection route, the location of the steel bars, and multiple functional areas; multiple groups of steel bar data are determined according to the multiple steel bar detection areas, the detection mode of the intelligent robot, and the mobile state of the intelligent robot. The engineering quality of the building is determined according to the multiple steel bar data, the relative positions of the multiple steel bar detection areas, and the architectural form of the building under construction, thereby ensuring the monitoring accuracy of the engineering quality of the building.

Description

Technical Field

[0001] The present application relates to the technical field of intelligent robot monitoring, and in particular to an engineering quality monitoring method, device, electronic equipment, and medium based on intelligent robot monitoring. Background Art

[0002] With the development of science and technology, intelligent robots are being used in people's lives. Intelligent robots include drones, mobile robots, and track-mounted robots. In existing technologies, buildings are located in people's lives and are reinforced with steel bars. However, corresponding mechanical inspection points are set up for each building. The monitoring of construction quality is only based on the data detected by these mechanical inspection points, which achieves a single-dimensional monitoring and results in low accuracy of the monitoring of the building's construction quality. Summary of the Invention

[0003] The purpose of the embodiments of the present application is to propose an engineering quality monitoring method, device, electronic equipment, and medium based on intelligent robot monitoring to solve the above-mentioned technical problems.

[0004] In order to solve the above technical problems, the present application provides an engineering quality monitoring method based on intelligent robot monitoring, which adopts the following technical solutions:

[0005] Determine the construction stage of a building based on the detection of the building by the intelligent robot;

[0006] If the engineering stage of the building is the mechanical evaluation stage, multiple mechanical inspection points are determined based on the three-dimensional model corresponding to the building, and multiple functional areas are determined according to the division of the three-dimensional model corresponding to the building;

[0007] Determine the detection route of the intelligent robot based on multiple mechanical detection points, the layout diagram of the building, and the spatial channels of the building;

[0008] Determining multiple steel bar detection areas based on the detection route, the location of the steel bars, and multiple functional areas;

[0009] Multiple sets of steel bar data are determined based on multiple steel bar detection areas, the detection mode of the intelligent robot, and the movement status of the intelligent robot. The engineering quality of the building is determined based on the multiple steel bar data, the relative positions of the multiple steel bar detection areas, and the architectural form of the building under construction.

[0010] In order to solve the above technical problems, the embodiment of the present application further provides a project quality monitoring device based on intelligent robot monitoring, which adopts the following technical solution:

[0011] A construction phase module is used to determine the construction phase of a building based on the intelligent robot's detection of the building under construction;

[0012] a functional area module for determining, if the engineering stage of the building is the mechanical evaluation stage, a plurality of mechanical inspection points based on a three-dimensional model corresponding to the building, and determining a plurality of functional areas according to the divisions of the three-dimensional model corresponding to the building;

[0013] A detection route module is used to determine the detection route of the intelligent robot based on multiple mechanical detection points, the layout diagram of the building, and the spatial channels of the building;

[0014] A steel bar detection area module is used to determine multiple steel bar detection areas based on the detection route, the location of the steel bars and multiple functional areas;

[0015] The engineering quality module is used to determine multiple sets of steel bar data based on multiple steel bar detection areas, the detection mode of the intelligent robot and the movement status of the intelligent robot, and to determine the engineering quality of the building based on the multiple steel bar data, the relative positions of the multiple steel bar detection areas and the architectural form of the building under construction.

[0016] In order to solve the above technical problems, the present application also provides an electronic device that adopts the following technical solution:

[0017] It includes a memory and a processor, wherein the memory stores electronically readable instructions, and when the processor executes the electronically readable instructions, the steps of the engineering quality monitoring method based on intelligent robot monitoring as described above are implemented.

[0018] In order to solve the above technical problems, an embodiment of the present application also provides a medium, characterized in that electronically readable instructions are stored on the medium, and when the electronically readable instructions are executed by the processor, the steps of the engineering quality monitoring method based on intelligent robot monitoring as described above are implemented.

[0019] The present application provides a project quality monitoring method, device, electronic device, and medium based on intelligent robot monitoring, which determines the engineering stage of a building based on the detection of the building under construction by the intelligent robot; if the engineering stage of the building is the mechanical evaluation stage, multiple mechanical detection points are determined based on the three-dimensional model corresponding to the building, and multiple functional areas are determined according to the division of the three-dimensional model corresponding to the building; the detection route of the intelligent robot is determined according to the multiple mechanical detection points, the layout diagram of the building, and the spatial channels of the building, which is compatible with the overall consideration of multiple mechanical detection points, the layout diagram of the building, and the spatial channels of the building, and realizes precise control of the detection route of the intelligent robot.

[0020] Therefore, multiple steel bar detection areas are determined based on the detection route, the location of the steel bars and multiple functional areas; multiple sets of steel bar data are determined according to the multiple steel bar detection areas, the detection mode of the intelligent robot and the movement status of the intelligent robot, and the engineering quality of the building is determined according to the multiple steel bar data, the relative positions of the multiple steel bar detection areas and the architectural form of the building under construction, and the intelligent robot is fully utilized to control the building under construction, and multi-dimensional monitoring of multiple steel bar data, the relative positions of multiple steel bar detection areas and the architectural form of the building under construction is realized, thereby ensuring the accuracy of monitoring the engineering quality of the building. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the solutions in this application, a brief introduction will be given below to the drawings used in the description of the embodiments of this application. Obviously, the drawings described below are some embodiments of this application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0022] Figure 1 This is a flowchart of the implementation of the engineering quality monitoring method based on intelligent robot monitoring provided in Example 1 of the present application.

[0023] Figure 2 This is a schematic diagram of an engineering quality monitoring device based on intelligent robot monitoring according to an embodiment of the electronic device of the present application.

[0024] Figure 3 This is a basic structural block diagram of an electronic device according to an embodiment of the electronic device of the present application. DETAILED DESCRIPTION

[0025] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings. Example 1

[0026] Continue to refer Figures 1 to 3 , shows a flowchart of an implementation of a project quality monitoring method based on intelligent robot monitoring provided in Example 1 of the present application. The project quality monitoring method based on intelligent robot monitoring is applied to a project quality monitoring scenario based on intelligent robot monitoring; the project quality monitoring method based on intelligent robot monitoring includes:

[0027] Step S11: determining the construction stage of the building based on the detection of the building under construction by the intelligent robot;

[0028] Step S12: If the engineering stage of the building is the mechanical evaluation stage, a plurality of mechanical inspection points are determined based on the three-dimensional model corresponding to the building, and a plurality of functional areas are determined according to the division of the three-dimensional model corresponding to the building;

[0029] Step S13: determining a detection route of the intelligent robot according to the multiple mechanical detection points, the layout diagram of the building, and the spatial channels of the building;

[0030] Step S14: determining a plurality of steel bar detection areas based on the detection route, the location of the steel bars, and the plurality of functional areas;

[0031] Step S15: Determine multiple sets of steel bar data based on multiple steel bar detection areas, the detection mode of the intelligent robot, and the movement state of the intelligent robot, and determine the engineering quality of the building based on the multiple steel bar data, the relative positions of the multiple steel bar detection areas, and the architectural form of the building under construction.

[0032] In step S11, the construction stage of the building under construction is determined based on the intelligent robot's detection of the building under construction;

[0033] In the specific implementation process of the present invention, the specific steps are:

[0034] S111: collecting the current location of the building under construction;

[0035] S112: Determine a moving route of the intelligent robot according to the current location of the building under construction and the current location of the intelligent robot;

[0036] S113: The intelligent robot moves along the moving route and collects a plurality of first images of the building under construction, where the plurality of first images respectively present different parts of the building under construction;

[0037] S114: Determine the construction phase of the building based on the multiple first images, the architectural form of the building under construction, and the progress information of the building under construction. The construction phase of the building includes a primary construction phase, a mechanical evaluation phase, a preliminary finalization phase, and a final finalization phase.

[0038] In an embodiment of the present application, the current location of a building under construction is collected; the intelligent robot's movement route is determined based on the current location of the building under construction and the current location of the intelligent robot. This takes into account the current location of the building under construction and the current location of the intelligent robot, thereby achieving the accuracy of the intelligent robot's movement route. Optionally, the intelligent robot includes a drone, a mobile robot, or a track-mounted robot.

[0039] At this time, the geographic location information of the building under construction is obtained, which is usually achieved through a GPS positioning system or other high-precision positioning technology. For large or complex projects under construction, multiple positioning points are set at key locations of the building (such as center points, corners or important structural parts) to ensure the accuracy and comprehensiveness of subsequent movement routes. In actual operation, this involves installing a GPS receiver or other positioning equipment on the building site, or the GPS module of the intelligent robot collects location data in real time when approaching the building. The collected data should include basic information such as longitude, latitude, altitude, etc., so as to provide an accurate geographic location reference for subsequent steps.

[0040] After obtaining the current location information of the building, the next step is to plan the movement route based on this information and the performance parameters of the intelligent robot. This usually involves the use of a geographic information system (GIS) or specialized detection planning software. When planning the movement route, multiple factors are considered, including the shape, height, floor area of ​​the building, and the complexity of the surrounding environment (such as other buildings, trees, high-voltage lines, etc.). At the same time, the performance parameters of the intelligent robot such as the moving height limit, speed, endurance, and camera viewing angle are also considered. These factors will jointly affect the selection and optimization of the movement route. In actual operation, the planning software will automatically generate multiple movement route plans based on the input building location information and robot performance parameters. These plans will be evaluated and the best one or several will be selected for actual movement testing. During the test, the route will also be fine-tuned according to the movement data to ensure the accuracy and safety of the detection.

[0041] Therefore, the intelligent robot moves along the moving route and collects multiple first images of the building under construction, and the multiple first images respectively present different parts of the building under construction; based on the multiple first images, the architectural form of the building under construction and the progress information of the building under construction, the engineering stage of the building is determined, and the engineering stage of the building includes the primary construction stage, the mechanical evaluation stage, the preliminary shaping stage and the final shaping stage. At this time, multiple interactions of the multiple first images, the architectural form of the building under construction and the progress information of the building under construction are realized, thereby realizing the control of the engineering stage of the building.

[0042] At this time, after the intelligent robot's moving route is determined, the intelligent robot will automatically move according to the preset route. During the movement, the robot will start its high-definition camera or other imaging equipment to take multiple images of the building under construction at a preset frequency and resolution. These images are called "first images" and they will be used for subsequent analysis and processing.

[0043] To ensure the quality of the collected images, the intelligent robot maintains a stable moving posture and ensures that the camera is always aimed at the target area. In addition, the robot automatically adjusts the camera's exposure, focal length and shooting angle according to factors such as lighting conditions, the height and shape of the building to ensure that the collected images are clear and accurate. In actual operation, the intelligent robot moves multiple times at different heights and angles to obtain a full view of the building. These images will cover multiple perspectives such as the top, side, front and back of the building to fully present the different parts and details of the building.

[0044] After collecting multiple first images of the building under construction, the next step is to determine the current engineering stage of the building based on these images, the building's architectural form and progress information. This usually involves preprocessing and analyzing the images, extracting the key features of the building, and combining the progress information to determine the stage to which it belongs. In actual operation, professional image processing software and machine learning algorithms are used to automatically identify and classify images. These software and algorithms can identify key information such as the building's structural type, number of floors, construction materials, etc., and combine the progress information to determine the current engineering stage of the building. The engineering stages of a building are usually divided into the primary construction stage (foundation construction), the mechanical evaluation stage (main structure construction), the preliminary finalization stage (decoration and equipment installation) and the final finalization stage (completion acceptance). By comparing and analyzing the feature information in the image with the typical characteristics of each stage, the current engineering stage of the building can be determined.

[0045] In another embodiment of the present application, determining the construction phase of a building under construction is a comprehensive judgment process, which is generally based on multiple first images, the building's architectural form, and progress information. To more clearly illustrate this process, a construction phase matching table is an intuitive and easy-to-understand tool that matches building features with typical features of each phase to determine its construction phase. The following is an example of a construction phase matching table:

[0046] Engineering Phase Feature Description Performance in example images Primary construction stage Foundation construction, ground treatment, pile foundation, etc. Foundation excavation, concrete pouring, etc. Mechanical evaluation phase Main structure construction, frame structure construction, wall masonry, etc. Steel structure construction, concrete wall construction, etc. Initial finalization stage Decoration, equipment installation, interior and exterior wall decoration, etc. Exterior wall decoration, window installation, interior decoration, etc. Final stage Completion acceptance, cleaning and finishing, greening and landscaping, etc. The overall appearance is complete, the greening is completed, and there are no obvious signs of construction

[0047] In actual operation, the current construction stage of the building can be determined by comparing the collected multiple first images with the building's architectural form and progress information and the features in the matching table.

[0048] In step S12, if the engineering stage of the building is the mechanical evaluation stage, multiple mechanical inspection points are determined based on the three-dimensional model corresponding to the building, and multiple functional areas are determined according to the division of the three-dimensional model corresponding to the building;

[0049] In the specific implementation process of the present invention, the specific steps are:

[0050] S121: If the engineering stage of the building is the mechanical evaluation stage, a plurality of first images of the building under construction are collected, and a three-dimensional model corresponding to the building is constructed based on the plurality of first images, a layout diagram of the building, and an architectural form of the building under construction;

[0051] S122: Determine a plurality of mechanical testing points based on the three-dimensional model, the force state diagram of the building, and the distribution positions of the load-bearing columns, wherein the plurality of mechanical testing points change as the architectural form of the building under construction changes and are compatible with the positions of the living spaces of the building;

[0052] S123: Collecting a plurality of functional data based on the detection of the three-dimensional model corresponding to the building;

[0053] S124: Determine multiple functional areas according to the multiple functional data, the positions of the spatial areas of the building, and the area of ​​each spatial area, so as to complete the division of the three-dimensional model corresponding to the building.

[0054] In an embodiment of the present application, if the engineering stage of the building is the mechanical evaluation stage, multiple first images of the building under construction are collected, and a three-dimensional model corresponding to the building is constructed based on the multiple first images, the layout diagram of the building, and the architectural form of the building under construction. This takes into account the overall consideration of the multiple first images, the layout diagram of the building, and the architectural form of the building under construction, thereby ensuring the accuracy of the three-dimensional model corresponding to the building.

[0055] At this point, confirm whether the current engineering stage of the building is the mechanical assessment stage. The mechanical assessment stage usually occurs when the main structure of the building has been basically completed, but before the interior and exterior decoration and equipment installation. The main task of this stage is to evaluate the structural stability and mechanical properties of the building to ensure that the building can withstand the expected load and comply with safety regulations.

[0056] Once it is confirmed that the building is in the mechanical assessment stage, the next step is to collect multiple first images of the building under construction. These images can be obtained by drones, intelligent robots or other high-altitude shooting equipment. The images should cover all angles and heights of the building to ensure the accuracy and completeness of the subsequent construction of the three-dimensional model.

[0057] In addition to image data, the layout diagram and architectural form information of the building are also obtained. The layout diagram usually includes floor plans, structural diagrams, etc., which provide the internal layout and structural characteristics of the building. The architectural form information describes the appearance shape, material usage, etc. of the building. This information will be used to assist in constructing a three-dimensional model. Finally, the collected image data, layout diagram and architectural form information are used to construct a three-dimensional model through three-dimensional modeling software or related algorithms. This process usually includes image preprocessing, feature extraction, stereo matching, three-dimensional reconstruction and other steps. The final three-dimensional model will accurately reflect the three-dimensional structure and appearance of the building.

[0058] Furthermore, multiple mechanical detection points are determined based on the three-dimensional model, the force state diagram of the building, and the distribution positions of the load-bearing columns. The multiple mechanical detection points change with the changes in the architectural form of the building under construction and are compatible with the position of the living space of the building. At this time, multi-dimensional control of the three-dimensional model, the force state diagram of the building, and the distribution positions of the load-bearing columns is achieved, ensuring the distribution accuracy of multiple mechanical detection points.

[0059] At this time, carefully analyze the constructed three-dimensional model. This model should accurately reflect the three-dimensional structure and appearance of the building. During the analysis process, special attention should be paid to the structural characteristics of the building, such as the position and size of load-bearing walls, beams, and columns, as well as the overall stability of the building and the existing weak links. Study the force state diagram of the building. This diagram is usually drawn by structural engineers based on the design requirements and load conditions of the building. It shows the stress distribution and deformation of the building when it is subjected to various loads. By analyzing the force state diagram, you can understand the key stress parts of the building and potential mechanical problems.

[0060] The load-bearing columns are the main components in a building that bear vertical loads. When determining the mechanical test points, the distribution of the load-bearing columns must be considered. The position and size of the load-bearing columns are usually clearly marked in the design drawings of the building. In actual operation, the actual position and status of the load-bearing columns can be confirmed through on-site investigation and comparison of three-dimensional models. After analyzing the three-dimensional model, the force state diagram and the distribution position of the load-bearing columns, multiple mechanical test points can be comprehensively determined. These mechanical test points should be distributed in the key stress-bearing parts of the building, such as the joints of load-bearing columns, beams, and walls.

[0061] At the same time, the location and number of mechanical inspection points are also adjusted according to the architectural form of the building and the location of the living space to ensure the accuracy and practicality of the inspection results. When determining the mechanical inspection points, the changes in the architectural form of the building and the compatibility with the living space are also considered. As the construction progresses, the form of the building will change, so the mechanical inspection points are also adjusted accordingly. In addition, the location of the mechanical inspection points also avoids interference or damage to the living space to ensure the normal use of the building and the comfort of the residents.

[0062] In another embodiment of the present application, in step S122, a mechanical detection point matching table can be used to clarify the process of determining the mechanical detection points. The following is an example of a mechanical detection point matching table, which is used to illustrate how to determine the mechanical detection points based on the three-dimensional model, the force state diagram and the distribution position of the load-bearing columns.

[0063] Example of mechanical detection point matching table:

[0064] Serial number Diorama Features Force state diagram characteristics Distribution of load-bearing columns Description of mechanical test points 1 Main structure of high-rise buildings Stress concentration areas between floors Main load-bearing column dense area Set up mechanical testing points in areas where stress is concentrated between floors and where load-bearing columns are densely packed 2 Connection between podium and main building The stress at the connection part is large Load-bearing column at connection Mechanical testing points are set up on the load-bearing columns and their surrounding areas at the connection between the podium and the main building 3 Cantilevered structures (such as balconies) The stress at the cantilever end is large Load-bearing columns below the cantilever structure Set up mechanical testing points on the load-bearing columns and their connections below the cantilever structure 4 Large beam span structure The stress in the middle of the beam span is greater Load-bearing columns below beam span Mechanical testing points are set up on and around the load-bearing columns under the large beam span structure 5 Corner of exterior wall Stress concentration at corners Corner load-bearing walls / columns Set mechanical testing points on the load-bearing walls or columns at the corners of the exterior walls

[0065] In this mechanical test point matching table, multiple mechanical test points are determined based on the architectural features in the three-dimensional model, the stress distribution in the force state diagram, and the actual distribution positions of the load-bearing columns. These mechanical test points are distributed in the key stress-bearing parts of the building, which helps to comprehensively evaluate the structural stability and mechanical properties of the building.

[0066] Therefore, multiple functional data are collected based on the detection of the three-dimensional model corresponding to the building; multiple functional areas are determined according to the multiple functional data, the position of the spatial area of ​​the building and the area of ​​each spatial area to complete the division of the three-dimensional model corresponding to the building and ensure the accuracy of the division of multiple functional areas.

[0067] At this time, a three-dimensional model (such as a model in 3D modeling software) is used to inspect the building and collect multiple functional data. These data usually include but are not limited to the building's structural parameters, material properties, spatial layout, equipment configuration, etc. The method of collecting this data involves the use of professional measurement tools, software analysis or field research.

[0068] Use 3D modeling software or tools such as laser rangefinders to measure structural parameters such as the building's size, height, and beam and column positions. By consulting architectural design documents or conducting on-site sampling and analysis, understand the type, strength, durability, and other properties of the materials used in the building. Analyze the spatial layout in the 3D model, record the location, size, shape, and other information of each room, investigate the configuration of equipment in the building, such as elevators, air conditioners, fire-fighting equipment, etc., and record their location, model, performance, and other parameters.

[0069] Based on the collected functional data, the spatial location of the building and the area of ​​each spatial area, the multiple functional areas of the building are determined. This usually involves comprehensive analysis of the data and spatial planning. The collected functional data are sorted and analyzed to understand the overall structure of the building and the characteristics of each spatial area. According to the use requirements and spatial characteristics of the building, the location and area of ​​each functional area are reasonably planned. This takes into account factors such as the building's streamline design, lighting and ventilation conditions, and personnel activity needs. On the basis of spatial planning, the specific location and area of ​​each functional area are clarified, and they are named and labeled.

[0070] Specifically, assuming that a 3D model of an office building is being inspected, the following functional data will be collected in step S123:

[0071] The total height of the office building is 50 meters, with a total of 10 floors. The area of ​​each floor is about 1,000 square meters. It adopts reinforced concrete structure. The office building is equipped with 4 elevators, located on the east and west sides respectively. The load capacity of each elevator is 1,000 kilograms. The office area is mainly distributed on the middle floors, while meeting rooms, rest areas, etc. are located on lower or higher floors.

[0072] Based on the collected functional data and spatial characteristics, the office building will be divided into the following functional areas:

[0073] Office area: located on the middle floors, each floor occupies approximately 600 square meters of space, mainly used for employee offices. Conference room area: located on the higher floors, each floor has a large conference room and two small conference rooms, with a total area of ​​approximately 200 square meters. Rest area: located on the lower floors, with employee restaurants and rest areas, with a total area of ​​approximately 100 square meters. Equipment area: including elevator shafts, machine rooms and other equipment rooms, located in the core or edge of the building, the total area depends on the equipment configuration.

[0074] Specifically, in step S124, a functional area matching table can be used to clarify the functional division of each spatial area. The following is an example of a functional area matching table to illustrate how to determine the functional area of ​​a building based on multiple functional data, spatial locations and area areas.

[0075] Example of functional area matching table:

[0076] Serial number Spatial area location Area (square meters) Functional data description Functional area determination 1 Center of the first floor of the building 500 High traffic density, good lighting and ventilation, easy to display Commercial retail area 2 Corner of the first floor of a building 200 Close to the entrance to facilitate crowd guidance Help desk / inquiry area 3 Building floors 2 to 4 800 per floor Good lighting and ventilation, quiet environment office area 4 Five-story building 1200 Large area, flexible partitioning, good ventilation Meeting / Event Area 5 Top floor of a building 600 Wide view and beautiful scenery Leisure / Observation Deck 6 Building basement 1000 Large area for easy parking and equipment layout Parking / Equipment Area

[0077] In this functional area matching table, the various functional areas of the building are determined based on the location, area and functional data description of the spatial area. These functional areas not only meet the use requirements of the building, but also fully consider the spatial characteristics and use efficiency.

[0078] In step S13, a detection route of the intelligent robot is determined based on the multiple mechanical detection points, the layout diagram of the building, and the spatial channels of the building;

[0079] In the specific implementation process of the present invention, the specific steps are:

[0080] S131: Associating multiple mechanical detection points, the layout diagram of the building, and the spatial passages of the building;

[0081] S132: Determine a first route based on the multiple mechanical detection points and the layout diagram of the building, and determine a second route based on the multiple mechanical detection points and the spatial passages of the building;

[0082] S133: Collect the moving route of the intelligent robot, and determine the detection route of the intelligent robot according to the first route, the second route and the moving route of the intelligent robot.

[0083] In an embodiment of the present application, multiple mechanical detection points, the layout diagram of the building, and the spatial channels of the building are associated; a first route is determined based on the multiple mechanical detection points and the layout diagram of the building, and a second route is determined based on the multiple mechanical detection points and the spatial channels of the building, thereby introducing the first route and the second route.

[0084] At this point, the building's mechanical inspection points, layout diagrams, and spatial channels are associated. The purpose of this step is to ensure that all key mechanical inspection points can be accurately and efficiently covered during mechanical inspections, while taking into account the building's actual layout and spatial channels to optimize the inspection process and ensure safety.

[0085] First, according to the structural characteristics and design requirements of the building, determine the key points for mechanical testing, including load-bearing walls, beam-column joints, foundations and other key structural parts, obtain the layout of the building, and analyze its structural layout, room distribution, floor height and other information. The layout should mark the various parts of the building in detail, including the locations of walls, doors and windows, stairs, elevators, etc., and identify the spatial passages of the building, including corridors, stairs, elevator shafts, pipe shafts, etc. These passages are the main paths for people and equipment to move in the building, and are also important factors to consider when conducting mechanical testing.

[0086] Conduct correlation analysis between mechanical inspection points, layout diagrams, and spatial channels to determine the specific location of each mechanical inspection point and how to reach these points through the spatial channels in the layout diagram. At the same time, consider parameters such as channel width, height, and turning radius to ensure that inspection equipment and personnel can pass smoothly.

[0087] At the same time, the first route is determined based on the mechanical detection points and the layout diagram. This is the main detection route, which is used to cover all key mechanical detection points. At the same time, the second route is also determined based on the mechanical detection points and spatial channels. This is the backup or evacuation route, which is used to ensure the safe evacuation of personnel and equipment in an emergency.

[0088] Planning of the first route: Based on the location and layout of the mechanical testing points, plan an optimal route that can cover all mechanical testing points. This route should be as short and direct as possible to reduce testing time and cost. At the same time, considering the traffic capacity of testing equipment and personnel, ensure that parameters such as channel width and height on the route meet the requirements.

[0089] Planning of the second route: Based on the first route, a backup or evacuation route should be planned according to the characteristics of the spatial channel and the needs of emergency evacuation. This route should avoid potential dangerous areas, such as storage areas for flammable and explosive materials, high-voltage power lines, etc. At the same time, ensure that the passages on the route are unobstructed to facilitate the rapid evacuation of personnel and equipment in an emergency.

[0090] Specifically, assuming that a multi-story office building is being mechanically inspected, in step S131, the following operations will be performed: determine the key mechanical inspection points of the office building, such as the load-bearing walls of the ground floor and the beam-column nodes of the floor slabs on each floor, analyze the layout of the office building, understand information such as floor distribution, room layout, and the location of stairs and elevators, identify the spatial passages of the office building, including corridors, stairs, elevator shafts, etc., and note the actual situation that some corridors are narrow and the elevator capacity is limited.

[0091] Associate the mechanical inspection points with the layout diagram and spatial channels. For example, it is found that the mechanical inspection point of a load-bearing wall is located in a room at the end of the corridor on the third floor, which is reached through the corridor and stairs. At the same time, considering the width of the corridor and the capacity of the elevator, arrange small inspection equipment or manual handling equipment to reach the mechanical inspection point.

[0092] In step S132, the following operations are performed:

[0093] Based on the mechanical detection points and layout diagram, a first route is planned starting from the first floor and passing through the key mechanical detection points on each floor in sequence. This route should be as short and direct as possible, while taking into account factors such as corridor width and stair location.

[0094] Based on the first route, a backup or evacuation route is planned. For example, if an emergency such as a blockage or fire occurs in the corridor of a certain floor, another corridor or staircase can be used to quickly evacuate to a safe area. This evacuation route should avoid all mechanical detection points to ensure that it will not be disturbed in an emergency. At the same time, emergency evacuation signs and escape passages are set up at key locations so that the evacuation route can be quickly found in an emergency.

[0095] Therefore, the moving route of the intelligent robot is collected, and the detection route of the intelligent robot is determined based on the first route, the second route and the moving route of the intelligent robot, which is compatible with the overall consideration of the first route, the second route and the moving route of the intelligent robot, and ensures the accuracy of the detection route of the intelligent robot.

[0096] In another embodiment of the present application, a route matching table is used to intuitively display the first route and the second route determined based on the mechanical detection points, the building layout diagram, and the spatial channel. The following is an example of a route matching table:

[0097] Route matching table example:

[0098] Serial number Mechanical testing point location Layout feature description Spatial channel selection First route (main detection route) Secondary route (backup / evacuation route) 1 First floor lobby load-bearing columns Located in the center of the hall, surrounded by open space Lobby, main staircase Enter from the main door and go directly to the center of the hall Use auxiliary stairs to evacuate outside 2 Beam-column joint on the east side of the second floor Located at the end of the east corridor, near the window East corridor, elevator Go up the stairs from the first floor to the second floor, and follow the east corridor to the mechanical inspection point Evacuate to the first floor using the west corridor 3 Third floor conference room floor Located in the center of the conference room, with no overhead obstructions Meeting room door, internal passage Take the elevator from the second floor to the third floor and enter the meeting room directly Evacuate to the second floor using the emergency exit 4 Load-bearing wall of the stairwell on the fourth floor Located in the corner of the stairwell for easy observation Stairwell, north-south corridor Go up the stairs from the third floor to the fourth floor and enter the stairwell to observe Use another staircase to evacuate to the third floor 5 Fifth floor roof structure Located in the center of the roof, surrounded by guardrails Roof access, emergency exit Take the elevator from the fourth floor to the fifth floor, and follow the rooftop passage to the mechanical inspection point Use the fire exit on the other side of the roof to evacuate

[0099] This route matching table lists the location of each mechanical inspection point, layout feature description, spatial channel selection, and the corresponding first route and second route. In this way, inspectors can clearly understand the arrival path and emergency evacuation path of each mechanical inspection point.

[0100] Therefore, the moving route of the intelligent robot is collected, and the detection route of the intelligent robot is determined based on the first route, the second route and the moving route of the intelligent robot, which is compatible with the overall consideration of the first route, the second route and the moving route of the intelligent robot, and ensures the accuracy of the detection route of the intelligent robot.

[0101] At this time, the final detection route of the intelligent robot is comprehensively determined based on the already determined first route (main detection route) and second route (backup / evacuation route), as well as the movement route of the intelligent robot. This step comprehensively considers the intelligent robot's mobility, detection accuracy, safety factors, and coordination with the ground detection route.

[0102] First, clarify the intelligent robot's technical parameters such as its range of movement, height limit, and endurance. Utilize the robot's detection function to conduct preliminary aerial surveys of buildings, collecting information such as the building's overall structure, height changes, and obstacle distribution. Based on the detection data, plan routes along which the intelligent robot can move safely and efficiently. These routes should avoid potential obstacles such as high-rise buildings, high-voltage power lines, and large trees.

[0103] Compare and analyze the collected moving route with the first route and the second route to find the intersection points, conflict areas and potential collaborative operation areas between the moving route and the ground route. Consider the detection accuracy and coverage of the intelligent robot, determine which detection points are suitable for detection by the intelligent robot and which points require cooperation from ground equipment or personnel. According to the analysis results, adjust and optimize the detection route of the intelligent robot to ensure its coordination with the ground route while ensuring detection efficiency and safety. At the same time, when determining the detection route of the intelligent robot, safety factors must be fully considered, including moving height, speed control, obstacle avoidance strategy, etc., to ensure that the intelligent robot is in a safe and controllable state throughout the detection process to avoid collisions with ground equipment or personnel.

[0104] Specifically, assuming that mechanical testing is being conducted on a multi-story factory building in a large industrial park, the following operations will be performed in step S133: First, the movement parameters of the intelligent robot are clarified, such as the maximum moving height of 100 meters and the flight time of 30 minutes. Then, the intelligent robot is used to conduct an aerial survey of the industrial park, collecting information such as the layout, height, and roof structure of the factory building. Based on the detection data, routes are planned for the intelligent robot to move safely, avoiding obstacles such as high-voltage power lines and large billboards.

[0105] The moving route was compared and analyzed with the first and second routes, and it was found that the intelligent robot can move from the roof of the factory and perform mobile inspection along the planned moving route. Taking into account the detection accuracy and coverage range of the intelligent robot, the roof structure, exterior wall cracks and other points suitable for inspection by the intelligent robot were determined. At the same time, the inspection points that require cooperation of ground equipment or personnel were also determined, such as the beam-column nodes and foundations inside the factory.

[0106] Based on these analyses, the intelligent robot's detection route was adjusted and optimized to ensure its coordination with the ground route. When determining the intelligent robot's detection route, a moving height limit was set at no more than 80 meters to ensure movement safety. A detailed obstacle avoidance strategy was also formulated. If encountering emergencies or obstacles, the intelligent robot will automatically lower its height or take a detour. In addition, a dedicated person was arranged to monitor the movement status of the intelligent robot to ensure that it is in a safe and controllable state throughout the entire detection process.

[0107] In step S14, a plurality of steel bar detection areas are determined based on the detection route, the location of the steel bars, and the plurality of functional areas;

[0108] In the specific implementation process of the present invention, the specific steps are:

[0109] S141: collecting a plurality of first images of the building under construction and a three-dimensional model corresponding to the building, and determining the location of the steel bars according to the plurality of first images of the building under construction and the three-dimensional model corresponding to the building;

[0110] S142: Associating the detection route, the location of the steel bars, and multiple functional areas;

[0111] S143: Taking the location of the steel bars as the main factor, the location of the steel bars interacts with the detection route and multiple functional areas, and multiple steel bar detection areas are determined based on the interaction of the detection route, the location of the steel bars and multiple functional areas.

[0112] In an embodiment of the present application, multiple first images of a building under construction and a three-dimensional model corresponding to the building are collected, and the location of the steel bars is determined based on the multiple first images of the building under construction and the three-dimensional model corresponding to the building. This is compatible with the overall consideration of the multiple first images of the building under construction and the three-dimensional model corresponding to the building, and ensures the accurate location of the steel bars.

[0113] At this time, use a high-resolution camera or a drone-mounted camera to shoot to ensure image clarity. Shoot the building from multiple angles (such as the front, side, top, etc.) to obtain comprehensive image information. Choose a time period with sufficient light to avoid the impact of shadows and reflections on image quality. Store the captured images in a secure storage medium and back them up to prevent data loss.

[0114] In addition, use a 3D laser scanner or a 3D scanning device mounted on a drone to scan the building to obtain its 3D coordinate information. The 3D coordinate information obtained from the scan is imported into the 3D modeling software for model construction and optimization to ensure that the constructed 3D model has high accuracy and can accurately reflect the actual shape and structure of the building. The constructed 3D model is stored in a storage medium that is easy to access and manage for subsequent analysis and use.

[0115] Furthermore, the multiple collected images are compared and analyzed to identify the characteristics and distribution patterns of the steel bars in the images, and the identified steel bar characteristics are matched with the three-dimensional model to determine the specific position of the steel bars in three-dimensional space. Since there are errors in automatic recognition and matching, manual verification and adjustment are performed to ensure the accuracy of the steel bar position. The determined steel bar position is output in a visual manner, such as generating a steel bar position map or marking it on the three-dimensional model.

[0116] Therefore, the detection route, the location of the steel bars and multiple functional areas are associated; the location of the steel bars is taken as the main factor, and the location of the steel bars interacts with the detection route and multiple functional areas. According to the interaction of the detection route, the location of the steel bars and multiple functional areas, multiple steel bar detection areas are determined, thereby realizing the interaction of the detection route, the location of the steel bars and multiple functional areas and ensuring the accuracy of multiple steel bar detection areas.

[0117] At this time, a reasonable inspection route is planned according to the structural characteristics and inspection requirements of the building. This usually takes into account factors such as the accessibility, inspection efficiency and safety of the inspection equipment. The steel bar position information determined in the previous step is integrated to form a complete steel bar distribution map or database, which is helpful for subsequent inspection and analysis. According to the design purpose and actual needs of the building, the building is divided into different functional areas, including bedrooms, living rooms, kitchens, bathrooms, etc. The information of the inspection route, steel bar position and functional area is associated. This can be achieved by marking the steel bar position and functional area on the inspection route map, or adding identification of the inspection route and functional area to the steel bar distribution map.

[0118] After associating the information of the detection route, steel bar position and functional area, an interactive analysis is performed, which takes into account the impact of the steel bar position on the detection route and the determination of the detection focus by the functional area. According to the results of the interactive analysis, the steel bar areas for key inspection are determined. These areas include steel bar dense areas, potential defect areas, key structural nodes and important parts in the functional area. According to the determined inspection areas, the inspection plan is optimized, which includes adjusting the inspection route, adding inspection points, and adopting more advanced inspection technologies.

[0119] Specifically, suppose an office building under construction is being inspected. First, an inspection route is planned from the first floor to the top floor to ensure that all key parts of the building are covered. Then, the previously determined steel bar location information is integrated to form a complete steel bar distribution map. Next, the office building is divided into different functional areas, such as offices, conference rooms, corridors, etc. Finally, the steel bar locations and functional areas are marked on the inspection route map for subsequent inspection and analysis.

[0120] In the previous office building inspection example, an interactive analysis was conducted. Taking into account the impact of the steel bar location on the inspection route, the inspection route was adjusted to ensure that all key steel bar locations were covered. At the same time, based on the importance of the functional areas, key steel bar areas for inspection were identified, such as the beam-column nodes in the conference room and corridor, and the floor steel bars in the office. Finally, the inspection plan was optimized, and inspection points for these key areas were increased. More advanced inspection technologies were used to improve the accuracy and efficiency of inspections.

[0121] In another embodiment of the present application, a steel bar detection area matching table may be created to associate detection routes, steel bar positions, and functional areas, and determine the detection priority of each steel bar detection area.

[0122] Example of steel bar detection area matching table:

[0123] Serial number Detection route Rebar location Functional Area Detection priority 1 Stairwell from the first floor to the second floor Stair beams and stair slabs steel bars stairwell high 2 Second floor corridor Corridor beam and slab reinforcement corridor middle 3 Second floor office Floor slab and wall column reinforcement office middle 4 Third floor conference room Beam, slab and column reinforcement Meeting Room high 5 Third floor bathroom Floor slab and wall reinforcement bathroom Low

[0124] In the steel bar detection area matching table, the detection routes, steel bar locations and functional areas are listed, and the detection priority (high, medium, low) is assigned to each area according to the actual situation, so that you can intuitively see which areas need to be inspected first.

[0125] In step S15, multiple sets of steel bar data are determined based on the multiple steel bar detection areas, the detection mode of the intelligent robot, and the movement state of the intelligent robot, and the engineering quality of the building under construction is determined based on the multiple steel bar data, the relative positions of the multiple steel bar detection areas, and the architectural form of the building under construction;

[0126] In the specific implementation process of the present invention, the specific steps are:

[0127] S151: Collect multiple steel bar detection areas, and determine the detection mode of the intelligent robot based on the multiple steel bar detection areas, previous detection data of the intelligent robot, and the architectural form of the building under construction;

[0128] S152: Determine a movement state of the intelligent robot according to the plurality of steel bar detection areas, movement data of the intelligent robot, and surrounding environments of the plurality of steel bar detection areas;

[0129] S153: Determine multiple sets of steel bar data based on multiple steel bar detection areas, the detection mode of the intelligent robot, and the movement state of the intelligent robot;

[0130] S154: Determine relative positions of the plurality of steel bar detection areas based on the plurality of steel bar detection areas, and determine the engineering quality of the building according to the plurality of steel bar data, the relative positions of the plurality of steel bar detection areas, and the architectural form of the building under construction.

[0131] In an embodiment of the present application, multiple steel bar detection areas are collected, and the detection mode of the intelligent robot is determined based on the multiple steel bar detection areas, the previous detection data of the intelligent robot, and the architectural form of the building under construction. This is compatible with the overall consideration of multiple steel bar detection areas, the previous detection data of the intelligent robot, and the architectural form of the building under construction, thereby ensuring the accuracy of the detection mode of the intelligent robot.

[0132] At this time, multiple steel bar detection areas are collected. This information can be obtained through architectural design drawings, construction records, on-site surveys, etc. Factors to be considered include the type, specification, location, quantity of steel bars, and the complexity of the surrounding environment.

[0133] The previous detection data of the intelligent robot was introduced to review the performance and data of the intelligent robot in similar detection tasks. The analysis factors included the intelligent robot's movement speed, height, stability, shooting quality, detection accuracy, etc. At the same time, the problems encountered and solutions in previous detections were also considered to avoid similar problems in this detection.

[0134] According to the architectural form of the building under construction, the impact of factors such as the building's structural characteristics, height, and complexity on the intelligent robot's detection is evaluated. For example, the height of the building affects the intelligent robot's moving height and endurance; the complexity of the building affects the intelligent robot's moving path and shooting angle. Based on the above analysis, the optimal detection mode of the intelligent robot in each steel bar detection area can be determined, which includes the settings of parameters such as moving speed, height, shooting angle, resolution, and lighting conditions. At the same time, the specific moving path and shooting plan of the intelligent robot during the detection process can also be determined.

[0135] Specifically, assuming that steel bar inspection is being carried out on a high-rise residential building under construction, the following is the specific application of step S151: Through the architectural design drawings and on-site investigation, the steel bar inspection area of ​​the building is determined, including the floor slabs, beams, columns and other positions on the ground floor, middle floor and top floor. The specific location and scope of each inspection area are marked and recorded in detail.

[0136] The performance and data of the intelligent robot in similar high-rise residential building inspection tasks were reviewed. It was found that in previous inspections, the intelligent robot was easily affected by wind when shooting on high floors, resulting in unstable movement. Therefore, it was decided to increase the moving height of the intelligent robot in this inspection to reduce the impact of wind. At the same time, the structural characteristics, height and complexity of high-rise residential buildings were evaluated. It was found that the structure of each floor of the building was similar, but the height difference between floors was large. Therefore, it was decided to adjust the moving path and shooting angle of the intelligent robot according to the floor height and complexity, and then determine the optimal inspection mode of the intelligent robot in each steel bar inspection area. In the bottom area, the intelligent robot moves at a lower height and speed to more accurately capture the steel bar details. In the middle and top areas, the intelligent robot moves at a higher height and stable moving speed to reduce the impact of wind and cover a larger inspection range. At the same time, a detailed movement path and shooting plan were formulated to ensure the efficiency and accuracy of the inspection process.

[0137] Furthermore, the movement state of the intelligent robot is determined based on multiple steel bar detection areas, the movement data of the intelligent robot and the surrounding environment of multiple steel bar detection areas, thereby realizing the interaction of multiple steel bar detection areas, the movement data of the intelligent robot and the surrounding environment of multiple steel bar detection areas, and ensuring the accuracy of the movement state of the intelligent robot.

[0138] At this point, detailed information such as the specific location, range, steel bar type and distribution of each steel bar detection area will be understood. This information will help plan the intelligent robot's movement path and task allocation. At the same time, the movement data includes the intelligent robot's movement speed, height, stability, endurance, historical movement records, etc. Based on this data, the performance of the intelligent robot in performing the current task can be evaluated.

[0139] At the same time, the surrounding environment has an important impact on the movement state of the intelligent robot. Factors such as terrain, obstacles, electromagnetic interference, and weather conditions around the detection area are examined. These factors will directly affect the movement safety, shooting quality, and detection accuracy of the intelligent robot. Based on the above analysis, the optimal movement state of the intelligent robot in each steel bar detection area can be determined, which includes adjusting the movement speed, height, and movement path to ensure that the intelligent robot can ensure both shooting quality and movement safety when performing tasks.

[0140] Specifically, assuming that steel bar inspection is being carried out on a large bridge, the following is the specific application of step S152: By consulting the bridge design drawings and conducting on-site surveys, multiple steel bar inspection areas of the bridge are determined, including key parts such as the main piers, bridge deck, and cables. The specific location and scope of each inspection area are marked and recorded in detail.

[0141] A review of the intelligent robot's movement data in similar bridge inspection tasks revealed that the intelligent robot's shooting quality decreased when moving at high speeds, but was able to maintain high shooting stability at low speeds. The intelligent robot's endurance was also able to meet the requirements of this inspection task. A detailed investigation of the environment surrounding the bridge revealed electromagnetic interference above the bridge, which would affect the intelligent robot's mobile control system. Tall buildings and trees on both sides of the bridge would become obstacles to movement. Furthermore, the inspection task was carried out in clear weather to ensure shooting quality.

[0142] Based on the above analysis, the optimal movement state of the intelligent robot in each steel bar detection area was determined. In areas with strong electromagnetic interference, the movement speed was reduced to reduce interference with the mobile control system. In areas with tall buildings and trees on both sides of the bridge, the movement path was adjusted to ensure movement safety. At the same time, sunny periods were selected for detection based on weather conditions to ensure shooting quality.

[0143] Specifically, in the main pier inspection area, the intelligent robot moves at a low speed and stable state and takes pictures at an appropriate height. In the bridge deck inspection area, the intelligent robot adjusts the moving path and shooting angle according to the width and shape of the bridge. In the cable inspection area, the intelligent robot passes under the cable to take pictures, so special attention is paid to the control of moving height and speed to ensure that there is no collision with the cable.

[0144] Furthermore, multiple sets of steel bar data are determined based on multiple steel bar detection areas, the detection mode of the intelligent robot and the moving state of the intelligent robot, and the interaction of multiple steel bar detection areas, the detection mode of the intelligent robot and the moving state of the intelligent robot is realized, so as to facilitate accurate detection of the steel bar detection areas and ensure the accuracy of multiple sets of steel bar data.

[0145] At this point, the specific areas for steel bar detection should be clarified. These areas are usually determined based on architectural design drawings, construction records or on-site surveys. Each detection area should contain detailed coordinates, ranges, and expected steel bar types and distributions. The detection mode refers to the movement parameters and shooting settings used by the intelligent robot when performing the detection task. These parameters include movement speed, height, route planning, camera resolution, exposure time, etc. The selection of the detection mode should be based on the specific characteristics of the steel bar detection area to ensure that clear and accurate steel bar images can be captured.

[0146] The mobile state refers to the real-time state of the intelligent robot during the execution of the task, such as the current position, speed, height, battery power, mobile stability, etc. This information is crucial to ensuring mobile safety and optimizing shooting quality. The mobile state is adjusted according to real-time environmental data (such as wind speed, wind direction, and obstacle position). After clarifying the detection area, detection mode, and mobile state, the intelligent robot will move and shoot according to the preset parameters. The captured image data will be further processed and analyzed by image processing software to extract key information such as the position, diameter, and spacing of the steel bars. This information will be organized into multiple sets of steel bar data for subsequent structural analysis and evaluation. At the same time, throughout the process, close interaction is achieved between multiple steel bar detection areas, the detection mode of the intelligent robot, and the mobile state. This means that the adjustment of the detection mode should be based on the characteristics of the detection area, while the adjustment of the mobile state should be based on the real-time environment and detection requirements. This interaction ensures that the intelligent robot can flexibly adapt to different detection tasks and environmental conditions.

[0147] Specifically, let's assume you're inspecting the rebar on the roof of a large stadium. The roof is complex and contains multiple different rebar inspection areas. The following is a detailed description of this step in practical application:

[0148] Based on multiple steel bar inspection areas: First, multiple steel bar inspection areas were determined based on the roof design drawings of the gymnasium, including key structural parts such as main beams, secondary beams, and trusses. Detailed coordinates and ranges were marked for each inspection area.

[0149] Combined with the intelligent robot's detection mode: Considering the complexity and height of the stadium's roof structure, a high-resolution camera and appropriate exposure time were selected to ensure shooting quality. At the same time, multiple routes were planned to cover all inspection areas, and appropriate movement speed and height were set to avoid collision with the roof structure.

[0150] Consider the mobility of the intelligent robot: During movement, monitor the robot's position, speed, altitude, battery level, and other information in real time. When encountering emergencies (such as strong winds or sudden obstacles), adjust the mobility status in a timely manner to ensure safe movement.

[0151] Determining multiple sets of rebar data: The captured image data was further processed and analyzed using image processing software to extract key information such as the location, diameter, and spacing of the rebar in the roof structure. This information was organized into multiple sets of rebar data for subsequent structural analysis and evaluation.

[0152] Throughout the inspection process, the detection mode and movement status were continuously adjusted according to the characteristics of the stadium roof structure and real-time environmental data. This interaction ensured that the intelligent robot could flexibly adapt to the complexity and height changes of the stadium roof structure, thereby achieving accurate inspection of the steel bar inspection area.

[0153] Therefore, the relative positions of multiple steel bar detection areas are determined based on multiple steel bar detection areas, and the engineering quality of the building is determined according to multiple steel bar data, the relative positions of multiple steel bar detection areas and the architectural form of the building under construction. This is compatible with the overall consideration of multiple steel bar data, the relative positions of multiple steel bar detection areas and the architectural form of the building under construction, thereby ensuring the accuracy of the engineering quality of the building.

[0154] At this point, the relative positions are determined based on multiple steel bar detection areas. In this step, the specific position of each steel bar detection area in the building is clarified, and the relative relationship between them is determined. This usually involves an in-depth understanding of the architectural design drawings, as well as on-site surveys and markings. By determining the relative positions of the steel bar detection areas, the overall layout and structural characteristics of the steel bars in the building can be better understood. At the same time, steel bar data is obtained through intelligent robots or other detection means, including information such as the position, diameter, spacing, and quantity of the steel bars. These data are an important basis for evaluating the quality of building projects. When collecting data, ensure the accuracy and completeness of the data for subsequent analysis and evaluation.

[0155] Architectural form refers to the overall structure, shape, size and other characteristics of a building. The architectural form of a building under construction has an important impact on the assessment of project quality. For example, factors such as the complexity, height, and span of a building affect the distribution and quantity of steel bars. Therefore, when assessing project quality, the architectural form of the building should be fully considered. After clarifying the relative position of the steel bar detection area, collecting multiple steel bar data, and considering the architectural form of the building, a comprehensive analysis and evaluation can be carried out to determine the engineering quality of the building. This usually involves comparative analysis of steel bar data, verification with architectural design drawings, and assessment of the overall structure of the building. Through this process, potential engineering problems can be discovered, such as missing steel bars, position deviations, insufficient diameters, etc., so that timely measures can be taken to repair and improve them.

[0156] Specifically, assuming that a high-rise residential building under construction is being evaluated for its construction quality, the following is a detailed description of step S154 in practical application: First, multiple steel bar inspection areas are determined based on the architectural design drawings, including key locations such as floor slabs, beams, and columns on the bottom, middle, and top floors. Then, these inspection areas are marked on site, and their relative positions are determined.

[0157] Intelligent robots were used to conduct detailed steel bar inspections in these inspection areas, obtaining information such as the location, diameter, and spacing of the steel bars. During the data collection process, the accuracy and completeness of the data were ensured for subsequent analysis and evaluation. The architectural form of high-rise residential buildings, including their overall structure, height, span and other characteristics, was taken into consideration. By analyzing the architectural form, the distribution and quantity of steel bars in the building were understood, providing a basis for subsequent project quality evaluation.

[0158] After clarifying the relative positions of the steel bar detection areas, collecting multiple steel bar data, and considering the architectural form of the building, a comprehensive analysis and evaluation was conducted. By comparing and analyzing the steel bar data and the architectural design drawings, some potential engineering problems were found, such as insufficient steel bar diameter and position deviation on some floors. In response to these problems, timely communication was carried out with the construction unit, and suggestions for repair and improvement were put forward. At this point, through the above steps and practical application examples, it can be seen that determining the relative positions based on multiple steel bar detection areas and determining the engineering quality of the building based on multiple steel bar data, the relative positions of multiple steel bar detection areas and the architectural form of the building under construction is a scientific and effective method. This method can help discover potential engineering problems and take timely measures to repair and improve them, thereby ensuring the safety and stability of the building.

[0159] In another embodiment of the present application, the steel bar detection area matching table:

[0160] Detection area number Relative position description Rebar data (diameter / spacing, etc.) Matching with design drawings A Center of ground floor slab Diameter 20mm, spacing 150mm Exact match B Middle beam end Diameter 25mm, spacing 200mm Match (with slight deviation) C Top column base Diameter 32mm, spacing 100mm Mismatch (position deviation) D Ground floor stairwell Diameter 16mm, spacing 120mm Exact match

[0161] The table above lists multiple rebar inspection areas and their relative positions, rebar data, and matching with the design drawings. Through the rebar inspection area matching table, you can clearly see the comparison between the rebar data and the design drawings for each inspection area, thereby quickly discovering potential engineering problems.

[0162] In addition, the engineering quality assessment weights and score table are as follows:

[0163] Total score calculation:

[0164] Assessment Project Weight (%) Evaluation Criteria Score (out of 100 points) Steel bar diameter matching 30 Full marks for perfect match, 5 marks will be deducted for every 1mm deviation 85 (Area A is completely matched, with slight deviation in Area B) Rebar spacing matching 25 Full marks for perfect match, 2 marks will be deducted for every 10mm deviation 90 (areas A and D are completely matched, with a small deviation in area B) Position accuracy 20 Full marks for exact match, 5 marks will be deducted for every 10cm deviation 70 (C area position deviation) Rebar quantity matching 15 Full marks for a perfect match, 2 points will be deducted for each missing piece 100 (all regions match) Architectural form adaptability 10 Comprehensive assessment based on architectural form 90 (good overall adaptability)

[0165] Total score = Rebar diameter matching score × Rebar diameter matching weight + Rebar spacing matching score × Rebar spacing matching weight + Position accuracy score × Position accuracy weight + Rebar quantity matching score × Rebar quantity matching weight + Building form adaptability score × Building form adaptability weight;

[0166] Total score = 85 × 30% + 90 × 25% + 70 × 20% + 100 × 15% + 90 × 10% = 25.5 + 22.5 + 14 + 15 + 9 = 86 points;

[0167] The table above lists the five main items of engineering quality assessment, their weights, assessment criteria and scores. Through the weight and score calculation, a comprehensive engineering quality assessment score can be obtained, which provides a more intuitive understanding of the engineering quality status of the building. In this example, the total score is 86 points, indicating that the overall engineering quality of the building is good, but there are still some areas for improvement, such as slight deviations in the diameter and spacing of the steel bars, as well as the accuracy of the position. Example 2

[0168] Further references Figure 2 , as a response to the above Figure 1 The present application provides an embodiment of an engineering quality monitoring device based on intelligent robot monitoring. Figure 1 Corresponding to the method embodiment shown, the engineering quality monitoring device based on intelligent robot monitoring can be specifically applied to various electronic devices.

[0169] like Figure 2 As shown, the engineering quality monitoring device based on intelligent robot monitoring of this embodiment includes:

[0170] A construction stage module 21 is used to determine the construction stage of a building under construction based on the intelligent robot's detection of the building under construction;

[0171] The functional area module 22 is configured to determine a plurality of mechanical inspection points based on a three-dimensional model corresponding to the building, and to determine a plurality of functional areas according to the division of the three-dimensional model corresponding to the building, if the engineering stage of the building is the mechanical evaluation stage;

[0172] A detection route module 23 is used to determine the detection route of the intelligent robot based on multiple mechanical detection points, the layout diagram of the building, and the spatial channels of the building;

[0173] A steel bar detection area module 24 is configured to determine a plurality of steel bar detection areas based on the detection route, the location of the steel bars, and the plurality of functional areas;

[0174] The engineering quality module 25 is used to determine multiple sets of steel bar data based on multiple steel bar detection areas, the detection mode of the intelligent robot and the movement status of the intelligent robot, and determine the engineering quality of the building based on the multiple steel bar data, the relative positions of the multiple steel bar detection areas and the architectural form of the building under construction.

[0175] To solve the above technical problems, the present application also provides an electronic device. Figure 3 , Figure 3 This is a basic structural block diagram of the electronic device in this embodiment.

[0176] The electronic device 300 includes a memory 310, a processor 320, and a network interface 330 that are interconnected through a device bus. Figure 3 3. Only electronic device 300 having components 310-330 is shown, but it should be understood that implementation of all of the shown components is not required, and more or fewer components may be implemented instead.

[0177] The present application also provides another embodiment, namely, providing a medium storing electronically readable instructions, which can be executed by at least one processor to enable the at least one processor to perform the steps of the engineering quality monitoring method based on intelligent robot monitoring as described above.

[0178] Obviously, the embodiments described above are only part of the embodiments of the present application, rather than all the embodiments. The drawings provide preferred embodiments of the present application, but do not limit the patent scope of the present application.

Claims

1. A method for monitoring engineering quality based on intelligent robot monitoring, characterized in that: include: Determine the construction stage of a building based on the detection of the building by the intelligent robot; If the engineering stage of the building is the mechanical evaluation stage, multiple mechanical inspection points are determined based on the three-dimensional model corresponding to the building, and multiple functional areas are determined according to the division of the three-dimensional model corresponding to the building; Determine the detection route of the intelligent robot based on multiple mechanical detection points, the layout diagram of the building, and the spatial channels of the building; Determining multiple steel bar detection areas based on the detection route, the location of the steel bars, and multiple functional areas; Determine multiple sets of steel bar data based on multiple steel bar detection areas, the detection mode of the intelligent robot and the movement state of the intelligent robot, and determine the engineering quality of the building based on the multiple steel bar data, the relative positions of the multiple steel bar detection areas and the architectural form of the building under construction, including: collecting multiple steel bar detection areas, determining the detection mode of the intelligent robot based on the multiple steel bar detection areas, the previous detection data of the intelligent robot and the architectural form of the building under construction; determining the movement state of the intelligent robot based on the multiple steel bar detection areas, the movement data of the intelligent robot and the surrounding environment of the multiple steel bar detection areas; determine multiple sets of steel bar data based on the multiple steel bar detection areas, the detection mode of the intelligent robot and the movement state of the intelligent robot; determine the relative positions of the multiple steel bar detection areas based on the multiple steel bar detection areas, and determine the engineering quality of the building based on the multiple steel bar data, the relative positions of the multiple steel bar detection areas and the architectural form of the building under construction; when evaluating the engineering quality, fully consider the architectural form of the building. After clarifying the relative positions of the steel bar detection areas, collecting multiple steel bar data, and considering the architectural form of the building, a comprehensive analysis and evaluation can be carried out to determine the engineering quality of the building.

2. The engineering quality monitoring method based on intelligent robot monitoring according to claim 1 is characterized in that: The method of determining the construction stage of a building under construction based on detection of the building by the intelligent robot includes: Collect the current location of buildings under construction; Determine a moving route of the intelligent robot according to the current location of the building under construction and the current location of the intelligent robot; The intelligent robot moves along the moving route and collects a plurality of first images of the building under construction, wherein the plurality of first images respectively present different parts of the building under construction; The engineering stage of the building is determined based on multiple first images, the architectural form of the building under construction, and the progress information of the building under construction. The engineering stage of the building includes a primary construction stage, a mechanical evaluation stage, a preliminary finalization stage, and a final finalization stage.

3. The engineering quality monitoring method based on intelligent robot monitoring according to claim 1 is characterized in that: If the engineering stage of the building is the mechanical evaluation stage, multiple mechanical detection points are determined based on the three-dimensional model corresponding to the building, and multiple functional areas are determined according to the division of the three-dimensional model corresponding to the building, including: If the engineering stage of the building is the mechanical evaluation stage, a plurality of first images of the building under construction are collected, and a three-dimensional model corresponding to the building is constructed based on the plurality of first images, a layout diagram of the building, and an architectural form of the building under construction; A plurality of mechanical detection points are determined based on the three-dimensional model, the stress state diagram of the building and the distribution position of the load-bearing columns. The plurality of mechanical detection points change with the change of the architectural form of the building under construction and are compatible with the position of the living space of the building.

4. The engineering quality monitoring method based on intelligent robot monitoring according to claim 3 is characterized in that: If the engineering stage of the building is the mechanical evaluation stage, a plurality of mechanical detection points are determined based on the three-dimensional model corresponding to the building, and a plurality of functional areas are determined according to the division of the three-dimensional model corresponding to the building, further comprising: Collecting a plurality of functional data based on detection of a three-dimensional model corresponding to the building; A plurality of functional areas are determined according to a plurality of functional data, the positions of the spatial areas of the building and the area of ​​each spatial area, so as to complete the division of the three-dimensional model corresponding to the building.

5. The engineering quality monitoring method based on intelligent robot monitoring according to claim 1 is characterized in that: The method of determining the detection route of the intelligent robot according to the plurality of mechanical detection points, the layout diagram of the building, and the spatial channels of the building includes: Associating multiple mechanical detection points, the layout diagram of the building, and the spatial passages of the building; Determining a first route based on a plurality of mechanical detection points and a layout diagram of the building, and determining a second route based on the plurality of mechanical detection points and a spatial passage of the building; The moving route of the intelligent robot is collected, and the detection route of the intelligent robot is determined according to the first route, the second route and the moving route of the intelligent robot.

6. The engineering quality monitoring method based on intelligent robot monitoring according to claim 1 is characterized in that: The step of determining multiple steel bar detection areas based on the detection route, the location of the steel bars, and the multiple functional areas includes: collecting a plurality of first images of the building under construction and a three-dimensional model corresponding to the building, and determining the location of the steel bars based on the plurality of first images of the building under construction and the three-dimensional model corresponding to the building; Associating the detection route, the location of the steel bars and multiple functional areas; The location of the steel bars is mainly taken into consideration, and the location of the steel bars interacts with the detection route and multiple functional areas. Multiple steel bar detection areas are determined based on the interaction of the detection route, the location of the steel bars and multiple functional areas.

7. An engineering quality monitoring device based on intelligent robot monitoring, characterized in that: include: A construction phase module is used to determine the construction phase of a building based on the intelligent robot's detection of the building under construction; a functional area module for determining, if the engineering stage of the building is the mechanical evaluation stage, a plurality of mechanical inspection points based on a three-dimensional model corresponding to the building, and determining a plurality of functional areas according to the divisions of the three-dimensional model corresponding to the building; A detection route module is used to determine the detection route of the intelligent robot based on multiple mechanical detection points, the layout diagram of the building, and the spatial channels of the building; A steel bar detection area module is used to determine multiple steel bar detection areas based on the detection route, the location of the steel bars and multiple functional areas; The engineering quality module is used to determine multiple sets of steel bar detection data based on multiple steel bar detection areas, the detection mode of the intelligent robot and the movement state of the intelligent robot, and determine the engineering quality of the building based on the multiple steel bar data, the relative positions of the multiple steel bar detection areas and the architectural form of the building under construction, including: collecting multiple steel bar detection areas, determining the detection mode of the intelligent robot based on the multiple steel bar detection areas, the previous detection data of the intelligent robot and the architectural form of the building under construction; determining the movement state of the intelligent robot based on the multiple steel bar detection areas, the movement data of the intelligent robot and the surrounding environment of the multiple steel bar detection areas; determining multiple sets of steel bar data based on the detection mode of the intelligent robot and the movement state of the intelligent robot; determining the relative positions of the multiple steel bar detection areas based on the multiple steel bar detection areas, and determining the engineering quality of the building based on the multiple steel bar data, the relative positions of the multiple steel bar detection areas and the architectural form of the building under construction; when evaluating the engineering quality, the architectural form of the building is fully considered. After clarifying the relative positions of the steel bar detection areas, collecting multiple steel bar data, and considering the architectural form of the building, a comprehensive analysis and evaluation can be carried out to determine the engineering quality of the building.

8. An electronic device, characterized in that: It includes a memory and a processor, wherein the memory stores electronically readable instructions, and when the processor executes the electronically readable instructions, it implements the steps of the engineering quality monitoring method based on intelligent robot monitoring as described in any one of claims 1 to 6.

9. A medium, characterized in that The medium stores electronically readable instructions, which, when executed by a processor, implement the steps of the engineering quality monitoring method based on intelligent robot monitoring as described in any one of claims 1 to 6.

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