Engineering quality monitoring method and device based on intelligent robot monitoring, electronic equipment and medium

Abstract

The invention relates to an engineering quality monitoring method and device based on intelligent robot monitoring, electronic equipment and a medium, and relates to the technical field of intelligent robot monitoring. A detection route of an intelligent robot is determined according to a plurality of mechanical detection points, a layout map of a building and a space channel of the building; a plurality of mechanical detection points, a layout map of the building and overall consideration of a space channel of the building are compatible, accurate control over a detection route of the intelligent robot is achieved, and a plurality of steel bar detection areas are determined based on the detection route, the positions of steel bars and a plurality of functional areas; determining multiple groups of reinforcing steel bar data according to the plurality of reinforcing steel bar detection areas, the detection mode of the intelligent robot and the moving state of the intelligent robot, and determining the engineering quality of the building according to the plurality of reinforcing steel bar data, the relative positions of the plurality of reinforcing steel bar detection areas and the building form of the building under construction. And the monitoring accuracy of the engineering quality of the building is ensured.

Description

Technical Field

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

[0002] With the development of technology, intelligent robots are applied to people's lives. Intelligent robots include drones, mobile robots, or rail robots. In the prior art, buildings are in people's lives and are reinforced with steel bars. However, corresponding mechanical detection points are set for the buildings, and only the data detected by the mechanical detection points are used for engineering quality monitoring, realizing single-dimensional monitoring, resulting in low accuracy of engineering quality monitoring for the building. Summary of the Invention

[0003] The purpose of the embodiments of this application is to propose a method, device, electronic device, and medium for engineering quality monitoring based on intelligent robot monitoring to solve the above technical problems.

[0004] To solve the above technical problems, the embodiments of this application provide a method for engineering quality monitoring based on intelligent robot monitoring, and adopt the following technical solutions: Determine the engineering stage of the building under construction based on the detection of the intelligent robot for the building; If the engineering stage of the building is the mechanical evaluation stage, determine multiple mechanical detection points based on the three-dimensional model corresponding to the building, and determine multiple functional areas according to the division of the three-dimensional model corresponding to the building; Determine the detection route of the intelligent robot according to multiple mechanical detection points, the layout plan of the building, and the space channels of the building; Determine multiple steel bar detection areas based on the detection route, the location of the steel bars, and multiple functional areas; Determine multiple groups of steel bar data according to multiple steel bar detection areas, the detection mode of the intelligent robot, and the moving state of the intelligent robot, and determine the engineering quality of the building according to multiple steel bar data, the relative positions of multiple steel bar detection areas, and the building form of the building under construction.

[0005] To solve the above technical problems, the embodiments of this application also provide a device for engineering quality monitoring based on intelligent robot monitoring, and adopt the following technical solutions: An engineering stage module, configured to determine the engineering stage of the building based on the detection of the intelligent robot for the building under construction; A functional area module, which is used to determine multiple mechanical detection points based on the three-dimensional model corresponding to the building and determine multiple functional areas according to the division of the three-dimensional model corresponding to the building if the engineering phase of the building is the mechanical evaluation phase; A detection route module, which is used to determine the detection route of the intelligent robot according to multiple mechanical detection points, the layout plan of the building, and the spatial channels of the building; A steel bar detection area module, which is used to determine multiple steel bar detection areas based on the detection route, the location of the steel bars, and multiple functional areas; An engineering quality module, which is used to determine multiple groups of steel bar data according to multiple steel bar detection areas, the detection mode of the intelligent robot, and the moving state of the intelligent robot, and determine the engineering quality of the building according to the multiple steel bar data, the relative positions of the multiple steel bar detection areas, and the building form of the building under construction.

[0006] To solve the above technical problems, an embodiment of the present application also provides an electronic device, which adopts the following technical solutions: It includes a memory and a processor. Electronic readable instructions are stored in the memory, and when the processor executes the electronic readable instructions, the steps of the engineering quality monitoring method based on intelligent robot monitoring described above are implemented.

[0007] To solve the above technical problems, an embodiment of the present application also provides a medium, which is characterized in that electronic readable instructions are stored on the medium, and when the electronic readable instructions are executed by a processor, the steps of the engineering quality monitoring method based on intelligent robot monitoring described above are implemented.

[0008] The present application provides an engineering quality monitoring method, device, electronic device, and medium based on intelligent robot monitoring. The engineering phase of the building under construction is determined based on the detection of the intelligent robot for the building under construction; if the engineering phase of the building is the mechanical evaluation phase, 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 multiple mechanical detection points, the layout plan of the building, and the spatial channels of the building, which comprehensively considers multiple mechanical detection points, the layout plan of the building, and the spatial channels of the building, and realizes the accurate control of the detection route of the intelligent robot.

[0009] 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 moving state of the intelligent robot, and the project 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 building form of the building under construction. 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 building form of the building under construction is realized, ensuring the monitoring accuracy of the project quality of the building. Description of the Drawings

[0010] To more clearly illustrate the solutions in the present application, the drawings used in the description of the embodiments of the present application will be briefly introduced below. Obviously, the drawings in the following description are some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0011] Figure 1 is a flowchart of the implementation of the engineering quality monitoring method based on intelligent robot monitoring provided in Embodiment 1 of the present application.

[0012] Figure 2 is a schematic diagram of the engineering quality monitoring device based on intelligent robot monitoring according to an embodiment of the electronic device of the present application.

[0013] Figure 3 is a basic structural block diagram of the electronic device according to an embodiment of the electronic device of the present application. Detailed Embodiments

[0014] To enable those skilled in the art to better understand the solutions of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings. Embodiment 1

[0015] Continuing to refer to Figures 1 to 3 , which shows a flowchart of the implementation of the engineering quality monitoring method based on intelligent robot monitoring provided in Embodiment 1 of the present application. An engineering quality monitoring method based on intelligent robot monitoring is applied to an engineering quality monitoring scenario based on intelligent robot monitoring. The engineering quality monitoring method based on intelligent robot monitoring includes: Step S11: Determine the engineering stage of the building under construction based on the detection of the intelligent robot for the building under construction; Step S12: If the engineering stage of the building is the mechanical evaluation stage, determine multiple mechanical detection points based on the three-dimensional model corresponding to the building, and determine multiple functional areas according to the division of the three-dimensional model corresponding to the building; Step S13: Determine the detection route of the intelligent robot according to multiple mechanical detection points, the layout diagram of the building, and the spatial passage of the building; Step S14: Determine multiple steel bar detection areas based on the detection route, the location of the steel bars, and multiple functional areas; Step S15: Determine multiple groups of steel bar data according to multiple steel bar detection areas, the detection mode of the intelligent robot, and the moving state of the intelligent robot, and determine the project quality of the building according to the multiple steel bar data, the relative positions of the multiple steel bar detection areas, and the building form of the building under construction.

[0016] In step S11, determine the project stage of the building based on the detection of the building under construction by the intelligent robot; In the specific implementation process of the present invention, the specific steps are as follows: S111: Collect the current position of the building under construction; S112: Determine the moving route of the intelligent robot according to the current position of the building under construction and the current position of the intelligent robot; S113: 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; S114: Determine the project stage of the building based on the multiple first images, the building form of the building under construction, and the progress information of the building under construction. The project stage of the building includes the primary construction stage, the mechanical evaluation stage, the preliminary shaping stage, and the final shaping stage.

[0017] In the embodiment of the present application, collect the current position of the building under construction; determine the moving route of the intelligent robot according to the current position of the building under construction and the current position of the intelligent robot, which takes into account the overall consideration of the current position of the building under construction and the current position of the intelligent robot, and realizes the accuracy of the moving route of the intelligent robot. Optionally, the intelligent robot includes an unmanned aerial vehicle, a mobile robot, or an orbital robot.

[0018] At this time, obtain the geographical location information of the building under construction, which is usually achieved through a GPS positioning system or other high-precision positioning technologies. For large or complex construction projects under construction, set multiple positioning points at key positions of the building (such as the center point, corners, or important structural parts) to ensure the accuracy and comprehensiveness of the subsequent moving route. In actual operation, this involves installing a GPS receiver or other positioning devices at the building site, or the GPS module carried by the intelligent robot collects position data in real time when approaching the building. The collected data should include basic information such as longitude, latitude, and altitude to provide an accurate geographical location reference for the subsequent steps.

[0019] 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 using Geographic Information System (GIS) or specialized detection and 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, performance parameters such as the movement height limit, speed, battery life, and camera view angle of the intelligent robot 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, evaluate these plans, and select the optimal one or several for actual movement tests. During the test process, the route will also be fine-tuned according to the movement data to ensure the accuracy and safety of detection.

[0020] Therefore, the intelligent robot moves along this movement route and acquires multiple first images of the under-construction building. The multiple first images respectively present different parts of the under-construction building; based on the multiple first images, the architectural form of the under-construction building, and the progress information of the under-construction building, the engineering stage of the building is determined. The engineering stage of the building includes the primary construction stage, mechanical evaluation stage, preliminary shaping stage, and final shaping stage. At this time, the multiple interactions of the multiple first images, the architectural form of the under-construction building, and the progress information of the under-construction building are realized, and thus the control of the engineering stage of the building is achieved.

[0021] At this time, after determining the movement route of the intelligent robot, the intelligent robot will automatically move along the preset route. During the movement, the robot will activate its onboard high-definition camera or other imaging devices to capture multiple images of the under-construction building at a preset frequency and resolution. These images are called "first images" and will be used for subsequent analysis and processing.

[0022] To ensure the quality of the captured images, the intelligent robot maintains a stable movement posture and ensures that the camera is always aimed at the target area. In addition, the robot also automatically adjusts the exposure, focal length, and shooting angle of the camera according to factors such as lighting conditions, the height and shape of the building, etc., to ensure that the captured images are clear and accurate. In actual operation, the intelligent robot moves at different heights and angles multiple times to obtain an all-round view of the building. These images will cover multiple perspectives such as the top, side, front, and back of the building to fully present different parts and details of the building.

[0023] After collecting multiple first images of the building under construction, the next step is to determine the current construction stage of the building based on these images, the building's architectural form, and progress information. This typically involves preprocessing and analyzing the images, extracting key features of the building, and combining the progress information to determine the stage it belongs to. In actual operation, professional image processing software and machine learning algorithms are used to automatically identify and classify the 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 construction stage of the building. The construction stage of a building is usually divided into the primary construction stage (foundation construction), mechanical evaluation stage (main structure construction), preliminary shaping stage (decoration and equipment installation), and final shaping stage (completion acceptance). By comparing and analyzing the feature information in the images with the typical features of each stage, the current construction stage of the building can be determined.

[0024] In another embodiment of the present application, determining the construction stage of a building under construction is a comprehensive judgment process, which is usually based on multiple first images, the architectural form of the building, and progress information. To illustrate this process more clearly, a construction stage matching table is an intuitive and easy-to-understand tool that matches the features of the building with the typical features of each stage to determine its construction stage. The following is a construction stage matching table: Engineering stage Feature description Performance in the example image Primary construction stage Foundation construction, ground treatment, pile foundation, etc. Foundation excavation, concrete pouring, etc. Mechanical evaluation stage Main structure construction, frame structure erection, wall masonry, etc. Steel structure erection, concrete wall construction, etc. Initial shaping stage Decoration, equipment installation, interior and exterior wall decoration, etc. Exterior wall decoration, window installation, interior decoration, etc. Final shaping stage Completion acceptance, cleaning up, greening landscape, etc. The overall appearance is complete, the greening is completed, and there are no obvious construction traces In actual operation, based on the multiple first images collected, combined with the architectural form and progress information of the building, it can be compared with the features in the matching table to determine the current construction stage of the building.

[0025] In step S12, if the construction stage of the building is the mechanical evaluation stage, then based on the three-dimensional model corresponding to the building, multiple mechanical detection points are determined, and multiple functional areas are determined according to the division of the three-dimensional model corresponding to the building; In the specific implementation process of the present invention, the specific steps are as follows: S121: If the construction stage of the building is the mechanical evaluation stage, then collect multiple first images of the building under construction, and construct the three-dimensional model corresponding to the building according to the multiple first images, the layout plan of the building, and the architectural form of the building under construction; S122: Determine multiple mechanical detection points according to the three-dimensional model, the stress state diagram of the building, and the distribution position of the load-bearing columns. The multiple 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; S123: Collect multiple functional data based on the detection of the three-dimensional model corresponding to the building; S124: Determine multiple functional areas based on multiple functional data, the locations 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.

[0026] In an embodiment of the present application, if the engineering stage of the building is the mechanical evaluation stage, collect multiple first images of the building under construction, and construct the three-dimensional model corresponding to the building based on the multiple first images, the layout plan of the building, and the architectural form of the building under construction. By comprehensively considering the multiple first images, the layout plan of the building, and the architectural form of the building under construction, the accuracy of the three-dimensional model corresponding to the building is ensured.

[0027] At this time, confirm whether the current engineering stage of the building is the mechanical evaluation stage. The mechanical evaluation stage usually occurs after 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 loads and comply with safety codes.

[0028] Once it is confirmed that the building is in the mechanical evaluation stage, next, collect multiple first images of the building under construction. These images can be obtained through drones, intelligent robots, or other high-altitude shooting devices. The images should cover all angles and heights of the building to ensure the accuracy and integrity of the subsequent three-dimensional model construction.

[0029] In addition to the image data, also obtain the layout plan of the building and the architectural form information. The layout plan usually includes floor plans, structure diagrams, etc., which provide the internal layout and structural characteristics of the building. The architectural form information describes the external shape, material usage, etc. of the building. These information will be used to assist in constructing the three-dimensional model. Finally, use the collected image data, layout plan, and architectural form information to construct the three-dimensional model through three-dimensional modeling software or related algorithms. This process usually includes steps such as image preprocessing, feature extraction, stereo matching, and three-dimensional reconstruction. The finally obtained three-dimensional model will accurately reflect the three-dimensional structure and external form of the building.

[0030] Furthermore, determine multiple mechanical detection points based on the three-dimensional model, the stress state diagram of the building, and the distribution positions of the load-bearing columns. The multiple mechanical detection points change with the change of the architectural form of the building under construction and are compatible with the location of the living space of the building. At this time, multi-dimensional control of the three-dimensional model, the stress state diagram of the building, and the distribution positions of the load-bearing columns is realized, ensuring the accuracy of the distribution of the multiple mechanical detection points.

[0031] At this time, carefully analyze the constructed 3D model. This model should accurately reflect the three-dimensional structure and appearance of the building. During the analysis, special attention should be paid to the structural characteristics of the building, such as the position and size of the load-bearing walls, beams, and columns, as well as the overall stability of the building and the weak links that exist. 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, the key stress parts and potential mechanical problems of the building can be understood.

[0032] The load-bearing columns are the main components in buildings that bear vertical loads. When determining the mechanical test points, the distribution of the load-bearing columns must be considered. The positions and sizes of the load-bearing columns are usually clearly marked in the design drawings of the building. In actual operation, the actual positions and states of the load-bearing columns can be confirmed through on-site investigations and comparisons of three-dimensional models. After analyzing the three-dimensional model, the force state diagram, and the distribution 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.

[0033] 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 of 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.

[0034] 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.

[0035] Example of mechanical detection point matching table: Serial number Stereo model features Force state diagram features Distribution position of load-bearing columns Description of mechanical test points 1 Main structure of high-rise building Stress concentration area between floors Dense area of main load-bearing columns Set mechanical test points in the area where stress is concentrated between floors and load-bearing columns are dense 2 Connection between podium and main building Larger stress at the connection part Load-bearing columns at the connection Set mechanical test points on the load-bearing columns and their peripheries at the connection between podium and main building 3 Cantilever structure (such as balcony) Larger stress at the cantilever end Load-bearing columns under the cantilever structure Set mechanical test points on the load-bearing columns and their connection parts under the cantilever structure 4 Large beam span structure Larger stress at the middle of the beam span Load-bearing columns under the beam span Set mechanical test points on the load-bearing columns and their peripheries under the large beam span structure 5 Exterior wall corner Stress concentration at the corner Load-bearing wall / column at the corner Set mechanical test points on the load-bearing wall or column at the exterior wall corner 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.

[0036] 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 location of the spatial area 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 and ensure the accuracy of the division of the multiple functional areas.

[0037] At this time, the building is detected using a three-dimensional model (such as the model in 3D modeling software), and multiple functional data are collected. These data usually include, but are not limited to, the structural parameters, material properties, spatial layout, equipment configuration, etc. of the building. The methods for collecting these data involve using professional measurement tools, software analysis, or on-site research.

[0038] Using tools such as 3D modeling software or laser rangefinders, measure the structural parameters of the building, such as its dimensions, height, and the positions of beams and columns. By referring to the building design documents or conducting on-site sampling analysis, understand the material types, strengths, durability, etc. of the materials used in the building. Analyze the spatial layout in the three-dimensional model, record information such as the positions, sizes, and shapes of each room, investigate the equipment configuration in the building, such as elevators, air conditioners, fire-fighting equipment, etc., and record their positions, models, performance, etc. parameters.

[0039] According to the collected functional data, the spatial location of the building, and the area of each spatial area, determine the multiple functional areas of the building. This usually involves comprehensive analysis of the data and spatial planning. Organize and analyze the collected functional data to understand the overall structure of the building and the characteristics of each spatial area. According to the usage requirements and spatial characteristics of the building, reasonably plan the positions and areas of each functional area, taking into account factors such as the flow line design of the building, daylighting and ventilation conditions, and personnel activity requirements. On the basis of spatial planning, clarify the specific positions and areas of each functional area, and name and label them.

[0040] Specifically, assuming that a three-dimensional model detection is being carried out on an office building, in step S123, the following functional data will be collected: The total height of the office building is 50 meters, with a total of 10 floors. The area of each floor is approximately 1000 square meters. It adopts a reinforced concrete structure. There are 4 elevators in the office building, located on the east and west sides respectively. The load capacity of each elevator is 1000 kilograms. The office areas are mainly distributed on the middle floors, while the meeting rooms, rest areas, etc. are located on the lower or higher floors.

[0041] Based on the collected functional data and spatial characteristics, the office building will be divided into the following functional areas: Office area: Located on the middle floors, each floor occupies approximately 600 square meters of space and is mainly used for employees' work. Meeting room area: Located on the higher floors, there is one large meeting room and two small meeting rooms on each floor, with a total area of approximately 200 square meters. Rest area: Located on the lower floors, there is an employee cafeteria and a rest area, with a total area of approximately 100 square meters. Equipment area: Includes equipment rooms such as elevator shafts and machine rooms, located in the core tube or at the edge of the building, and the total area depends on the equipment configuration.

[0042] 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, which is used to illustrate how to determine the functional areas of a building based on multiple functional data, spatial positions, and area of the region.

[0043] Example of functional area matching table: Serial number Spatial area location Area of the region (square meters) Functional data description Determination of functional areas 1 Center of the first floor of the building 500 High pedestrian flow density, good lighting and ventilation, easy to display Commercial retail area 2 Corner of the first floor of the building 200 Close to the entrance, convenient for guiding the flow of people Service desk / consulting area 3 Second to fourth floors of the building 800 per floor Good lighting and ventilation, quiet environment Office area 4 Fifth floor of the building 1200 Large area, flexible partitioning, good ventilation Meeting / activity area 5 Top floor of the building 600 Wide view, beautiful landscape Leisure / viewing platform 6 Basement of the building 1000 Larger area, convenient for parking and equipment layout Parking lot / equipment area In this functional area matching table, based on the position, area, and functional data description of the spatial area, the functional areas of the building are determined. These functional areas not only meet the usage requirements of the building but also fully consider the spatial characteristics and usage efficiency.

[0044] In step S13, determine the detection route of the intelligent robot according to multiple mechanical detection points, the layout plan of the building, and the spatial passageways of the building; In the specific implementation process of the present invention, the specific steps are as follows: S131: Associate multiple mechanical detection points, the layout plan of the building, and the spatial passageways of the building; S132: Determine the first route based on multiple mechanical detection points and the layout plan of the building, and determine the second route according to multiple mechanical detection points and the spatial passageways of the building; S133: Collect the movement route of the intelligent robot, and determine the detection route of the intelligent robot according to the first route, the second route, and the movement route of the intelligent robot.

[0045] In the embodiment of the present application, associate multiple mechanical detection points, the layout plan of the building, and the spatial passageways of the building; determine the first route based on multiple mechanical detection points and the layout plan of the building, and determine the second route according to multiple mechanical detection points and the spatial passageways of the building, and introduce the first route and the second route.

[0046] At this time, associate the mechanical detection points, layout plan, and spatial passageways of the building. The purpose of this step is to ensure that all key mechanical detection points can be accurately and efficiently covered during mechanical detection, while considering the actual layout and spatial passageways of the building to optimize the detection process and ensure safety. First, according to the structural characteristics and design requirements of the building, determine the key points for mechanical testing. These points include key structural parts such as load-bearing walls, beam-column joints, and foundations. Obtain the layout plan of the building and analyze its structural layout, room distribution, floor height, etc. The layout plan should clearly mark all parts of the building, including the positions of walls, doors, windows, stairs, elevators, etc. Identify the spatial passages in the building, including corridors, stairs, elevator shafts, pipe shafts, etc. These passages are the main routes for people and equipment to move in the building and are also important factors to consider during mechanical testing.

[0047] Conduct a correlation analysis of the mechanical testing points, layout plan, and spatial passages to determine the specific positions of each mechanical testing point and how to reach these points through the spatial passages in the layout plan. At the same time, consider parameters such as the width, height, and turning radius of the passages to ensure that testing equipment and personnel can pass through smoothly. At the same time, based on the mechanical testing points and layout plan, determine the first route, which is the main testing route used to cover all key mechanical testing points. Also, based on the mechanical testing points and spatial passages, determine the second route, which is the backup or evacuation route used to ensure the safe evacuation of personnel and equipment in case of an emergency.

[0048] Planning of the first route: According to the positions of the mechanical testing points and the layout plan, 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 costs. At the same time, considering the passing ability of testing equipment and personnel, ensure that parameters such as the width and height of the passages on the route meet the requirements.

[0049] Planning of the second route: Based on the first route, according to the characteristics of the spatial passages and the requirements of emergency evacuation, plan a backup or evacuation route. This route should avoid potential dangerous areas, such as areas where flammable and explosive items are stored, high-voltage wires, etc. At the same time, ensure that the passages on the route are unobstructed to facilitate the rapid evacuation of personnel and equipment in case of an emergency.

[0050] Specifically, assume that a multi-story office building is undergoing mechanical testing. In step S131, the following operations will be carried out: Determine the key mechanical testing points of the office building, such as the load-bearing walls on the ground floor and the beam-column joints of each floor slab. Analyze the layout plan of the office building to understand information such as floor distribution, room layout, and the positions of stairs and elevators. Identify the spatial passages in the office building, including corridors, stairs, elevator shafts, etc., and note practical situations such as some corridors being narrow and the elevator capacity being limited.

[0051] Correlate the mechanical testing points with the layout plan and spatial passages. For example, it is found that a load-bearing wall mechanical testing point is located in a room at the end of the corridor on the third floor and can be reached through the corridor and stairs. At the same time, considering the corridor width and elevator capacity, arrange small testing equipment or manual handling equipment to reach the mechanical testing point.

[0052] In step S132, the following operations are performed: Based on the mechanical detection points and the layout diagram, plan a first route starting from the first floor and passing through the key mechanical detection points on each floor in sequence. This route is as short and direct as possible, while taking into account factors such as corridor width and staircase location.

[0053] Based on the first route, plan an alternate or evacuation route. For example, if there is an emergency such as a sudden blockage or fire in the corridor on 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 there is no interference in case of an emergency. At the same time, emergency evacuation signs and escape routes are also set at key positions to facilitate quickly finding the evacuation route in an emergency.

[0054] Therefore, collect the movement route of the intelligent robot, and determine the detection route of the intelligent robot according to the first route, the second route, and the movement route of the intelligent robot, which takes into account the overall considerations of the first route, the second route, and the movement route of the intelligent robot, and ensures the accuracy of the detection route of the intelligent robot.

[0055] In another embodiment of the present application, a route matching table is used to visually display the first route and the second route determined based on the mechanical detection points, the building layout diagram, and the space channels. The following is an example of a route matching table: Example of route matching table: Serial number Location of mechanical test points Description of the layout plan features Selection of space channels First route (main test route) Second route (backup / evacuation route) 1 Load-bearing columns in the first-floor hall Located in the center of the hall, with open space around Hall, main staircase Enter from the gate and go directly to the center of the hall Use the auxiliary staircase to evacuate to the outside 2 Beam-column joint on the east side of the second floor Located at the end of the east corridor, close to the window East corridor, elevator Go from the first-floor staircase to the second floor and follow the east corridor to the mechanical test point Use the west corridor to evacuate to the first floor 3 Floor slab of the meeting room on the third floor Located in the center of the meeting room, with no obstruction above Meeting room door, internal passage Go from the second-floor elevator to the third floor and enter the meeting room directly Use the emergency exit to evacuate to the second floor 4 Load-bearing wall in the staircase on the fourth floor Located in the corner of the staircase, convenient for observation Staircase, north-south corridor Go from the third-floor staircase to the fourth floor and enter the staircase for observation Use another staircase to evacuate to the third floor 5 Roof structure on the fifth floor Located in the center of the roof, with guardrails around Roof passage, safety exit Go from the fourth-floor elevator to the fifth floor and follow the roof passage to the mechanical test point Use the safety exit on the other side of the roof to evacuate In this route matching table, the positions of each mechanical detection point, the description of the layout diagram features, the selection of space channels, and the corresponding first route and second route are listed. In this way, the inspection personnel can clearly understand the access path and emergency evacuation path of each mechanical detection point.

[0056] Therefore, collect the movement route of the intelligent robot, and determine the detection route of the intelligent robot according to the first route, the second route, and the movement route of the intelligent robot, which takes into account the overall considerations of the first route, the second route, and the movement route of the intelligent robot, and ensures the accuracy of the detection route of the intelligent robot.

[0057] At this time, according to the already determined first route (main detection route) and second route (alternate / evacuation route), as well as the movement route of the intelligent robot, comprehensively determine the final detection route of the intelligent robot. This step comprehensively considers the movement ability, detection accuracy, safety factors of the intelligent robot, and the coordination with the ground detection route.

[0058] First, clarify the technical parameters of the intelligent robot, such as its moving range, height limit, battery life, etc. Utilize the detection function of the intelligent robot to conduct a preliminary aerial survey of the building, collect information such as the overall structure, height changes, and obstacle distribution of the building. 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.

[0059] Compare and analyze the collected movement routes with the first route and the second route to find the intersection points, conflict areas, and potential collaborative operation areas between the movement routes and the ground routes. Considering the detection accuracy and coverage of the intelligent robot, determine which detection points are suitable for the intelligent robot to conduct detections and which points are to be completed by ground equipment or personnel. According to the analysis results, adjust and optimize the detection route of the intelligent robot to ensure its collaborative cooperation 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 strategies, etc., to ensure that the intelligent robot is in a safe and controllable state throughout the detection process and avoid collisions with ground equipment or personnel.

[0060] Specifically, assume that a multi-story factory building in a large industrial park is being subjected to mechanical testing. In step S133, the following operations will be carried out: First, clarify the movement parameters of the intelligent robot, such as the maximum moving height being 100 meters and the battery life being 30 minutes, etc. Then, use the intelligent robot to conduct an aerial survey of the industrial park, collect information such as the layout, height, and roof structure of the factory building. Based on the detection data, plan routes along which the intelligent robot can move safely. These routes avoid obstacles such as high-voltage power lines and large billboards.

[0061] Compare and analyze the movement route with the first route and the second route, and find that the intelligent robot can move from the roof of the factory building and conduct movement detections along the planned movement route. Considering the detection accuracy and coverage of the intelligent robot, determine the points suitable for the intelligent robot to conduct detections, such as the roof structure and exterior wall cracks, etc. At the same time, also determine the detection points to be completed by ground equipment or personnel, such as the beam-column joints and foundations inside the factory building.

[0062] Based on these analyses, adjust and optimize the detection route of the intelligent robot to ensure its collaborative cooperation with the ground route. When determining the detection route of the intelligent robot, set the moving height limit to not exceed 80 meters to ensure moving safety. Also formulate a detailed obstacle avoidance strategy. For example, when encountering unexpected situations or obstacles, the intelligent robot will automatically lower its height or detour. In addition, arrange special personnel to monitor the moving state of the intelligent robot to ensure that it is in a safe and controllable state throughout the detection process.

[0063] In step S14, a plurality of steel bar detection areas are determined based on the detection route, the location of the steel bars, and a plurality of functional areas; In the specific implementation process of the present invention, the specific steps are as follows: S141: Collect a plurality of first images of the building under construction and the corresponding three-dimensional model of the building, and determine the location of the steel bars according to the plurality of first images of the building under construction and the corresponding three-dimensional model of the building; S142: Associate the detection route, the location of the steel bars, and a plurality of functional areas; S143: Take the location of the steel bars as the main, and interact the location of the steel bars with the detection route and a plurality of functional areas, and determine a plurality of steel bar detection areas according to the interaction of the detection route, the location of the steel bars, and a plurality of functional areas.

[0064] In the embodiment of the present application, collecting a plurality of first images of the building under construction and the corresponding three-dimensional model of the building, and determining the location of the steel bars according to the plurality of first images of the building under construction and the corresponding three-dimensional model of the building, takes into account the overall consideration of the plurality of first images of the building under construction and the corresponding three-dimensional model of the building, and ensures the accuracy of the location of the steel bars.

[0065] At this time, use a high-resolution camera or a camera carried by a drone to take pictures, ensure the clarity of the images, take pictures of the building from multiple angles (such as the front, side, top, etc.) to obtain comprehensive image information, select a time period with sufficient light for taking pictures, avoid the influence of shadows and reflections on the image quality, store the taken images in a secure storage medium, and make backups to prevent data loss.

[0066] In addition, use a three-dimensional laser scanner or a three-dimensional scanning device carried by a drone to scan the building, obtain its three-dimensional coordinate information, import the scanned three-dimensional coordinate information into three-dimensional modeling software, perform model construction and optimization, ensure that the constructed three-dimensional model has high accuracy, can accurately reflect the actual shape and structure of the building, and store the constructed three-dimensional model in a storage medium that is easy to access and manage for subsequent analysis and use.

[0067] Furthermore, compare and analyze the collected multiple images, identify the characteristics and distribution rules of the steel bars in the images, match the identified steel bar characteristics with the three-dimensional model, determine the specific location of the steel bars in the three-dimensional space, and perform manual verification and adjustment due to errors in automatic recognition and matching to ensure the accuracy of the steel bar location, and output the determined steel bar location in a visual manner, such as generating a steel bar location map or marking it on the three-dimensional model.

[0068] 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; 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, 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.

[0069] At this point, according to the structural characteristics of the building and the inspection requirements, a reasonable inspection route is planned, which 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 inspection route, steel bar position and functional area information are associated. This can be achieved by marking the steel bar position and functional area on the inspection route map, or by adding inspection route and functional area identification to the steel bar distribution map.

[0070] 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.

[0071] Specifically, suppose an office building under construction is being inspected. First, an inspection route from the first floor to the top floor is planned 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.

[0072] 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 conference rooms and corridors, floor steel bars in offices, etc. Finally, the inspection plan was optimized, inspection points for these key areas were increased, and more advanced inspection technologies were used to improve the accuracy and efficiency of inspections.

[0073] In another embodiment of the present application, a steel bar detection area matching table can be created to associate the detection route, the position of the steel bars, and the functional area, and determine the detection priority of each steel bar detection area.

[0074] Example of the steel bar detection area matching table: Serial number Test route Reinforcement position Functional area Test priority 1 Staircase between the first and second floors Reinforcement of stair beam and stair slab Staircase High 2 Corridor on the second floor Reinforcement of corridor beam and slab Corridor Medium 3 Office on the second floor Floor slab and wall column steel bars Office Middle 4 Conference room on the third floor Beam, slab and column steel bars Conference room High 5 Toilet on the third floor Floor slab and wall steel bars Toilet Low In the steel bar detection area matching table, the detection route, the position of the steel bars, and the functional area are listed, and the detection priority (high, medium, low) is assigned to each area according to the actual situation, so that it can be intuitively seen which areas need to be detected with emphasis.

[0075] In step S15, multiple sets of steel bar data are determined according to multiple steel bar detection areas, the detection mode of the intelligent robot, and the moving state of the intelligent robot, and the project quality of the building is determined according to the multiple sets of steel bar data, the relative positions of the multiple steel bar detection areas, and the building form of the building under construction; In the specific implementation process of the present invention, the specific steps are as follows: S151: Collect multiple steel bar detection areas, and determine the detection mode of the intelligent robot according to the multiple steel bar detection areas, the previous detection data of the intelligent robot, and the building form of the building under construction; S152: Determine the moving state of the intelligent robot according to the multiple steel bar detection areas, the moving data of the intelligent robot, and the surrounding environment of the multiple steel bar detection areas; S153: Determine multiple sets of steel bar data based on the multiple steel bar detection areas, the detection mode of the intelligent robot, and the moving state of the intelligent robot; S154: Determine the relative positions of the multiple steel bar detection areas based on the multiple steel bar detection areas, and determine the project quality of the building according to the multiple sets of steel bar data, the relative positions of the multiple steel bar detection areas, and the building form of the building under construction.

[0076] In the embodiment of the present application, collecting multiple steel bar detection areas and determining the detection mode of the intelligent robot according to the multiple steel bar detection areas, the previous detection data of the intelligent robot, and the building form of the building under construction takes into account the overall consideration of the multiple steel bar detection areas, the previous detection data of the intelligent robot, and the building form of the building under construction, ensuring the accuracy of the detection mode of the intelligent robot.

[0077] At this time, to collect multiple steel bar detection areas, this information can be obtained through methods such as architectural design drawings, construction records, and on-site surveys. The factors considered include the type, specification, position, quantity of the steel bars, and the complexity of the surrounding environment, etc.

[0078] The past detection data of the intelligent robot is introduced, and the performance and data of the intelligent robot in similar detection tasks are reviewed. The factors analyzed include the moving speed, height, stability, shooting quality, detection accuracy, etc. of the intelligent robot. At the same time, the problems encountered and solutions in previous detections are also considered to avoid similar problems in this detection.

[0079] Regarding the architectural form of the building under construction, factors such as the structural characteristics, height, and complexity of the building are evaluated for their impact on the detection by the intelligent robot. For example, the height of the building affects the moving height and battery life of the intelligent robot; the complexity of the building affects the moving path and shooting angle of the intelligent robot. 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 setting 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 are also determined. Specifically, assuming that a high-rise residential building under construction is being inspected for steel bars, the following is the specific application of step S151: Through architectural design drawings and on-site surveys, the steel bar detection areas of the building are determined, including the floor slabs, beams, columns, etc. at the bottom, middle, and top floors. The specific positions and scopes of each detection area are detailedly marked and recorded.

[0080] The performance and data of the intelligent robot in similar high-rise residential building detection tasks are reviewed. It is found that in previous detections, the intelligent robot was prone to be affected by wind when shooting at high floors, resulting in unstable movement. Therefore, it is decided to increase the moving height of the intelligent robot in this detection to reduce the influence of wind. At the same time, the structural characteristics, height, and complexity of the high-rise residential building are evaluated. It is found that the structure of each floor of the building is similar, but the height difference between floors is relatively large. Therefore, it is decided to adjust the moving path and shooting angle of the intelligent robot according to the floor height and complexity. Furthermore, the optimal detection mode of the intelligent robot in each steel bar detection area is determined. In the bottom area, the intelligent robot moves at a lower height and speed to more accurately shoot the details of the steel bars. In the middle and top areas, the intelligent robot moves at a higher height and a stable moving speed to reduce the influence of wind and cover a larger detection range. At the same time, a detailed moving path and shooting plan are formulated to ensure the efficiency and accuracy of the detection process.

[0081] Furthermore, the moving state of the intelligent robot is determined based on multiple steel bar detection areas, the moving data of the intelligent robot, and the surrounding environment of multiple steel bar detection areas, realizing the interaction among multiple steel bar detection areas, the moving data of the intelligent robot, and the surrounding environment of multiple steel bar detection areas, and ensuring the accuracy of the moving state of the intelligent robot.

[0082] At this time, specific information such as the exact location, scope, steel bar type, and distribution of each steel bar detection area is understood in detail. This information will help plan the movement path and task assignment of the intelligent robot. At the same time, the movement data includes the movement speed, height, stability, battery life, historical movement records, etc. of the intelligent robot. Based on this data, the performance of the intelligent robot when performing the current task is evaluated.

[0083] At the same time, the surrounding environment has an important impact on the movement state of the intelligent robot. Factors such as the terrain, obstacles, electromagnetic interference, and weather conditions around the detection area are investigated. 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, movement path, etc., to ensure that the intelligent robot can not only guarantee the shooting quality but also ensure movement safety when performing tasks.

[0084] Specifically, assuming that a large bridge is being inspected for steel bars, the following is the specific application of step S152: By referring to the bridge design drawings and on-site surveys, multiple steel bar detection areas of the bridge are determined, including key parts such as main bridge piers, bridge decks, and suspension cables. The specific location and scope of each detection area are detailedly marked and recorded.

[0085] The movement data of the intelligent robot in similar bridge inspection tasks is reviewed. It is found that the shooting quality of the intelligent robot decreases when moving at high speed, but it can maintain high shooting stability when moving at low speed. At the same time, the battery life of the intelligent robot can meet the requirements of this inspection task. The environment around the bridge is detailedly investigated, and it is found that there is electromagnetic interference above the bridge, which will affect the movement control system of the intelligent robot. At the same time, there are tall buildings and trees on both sides of the bridge, which will become movement obstacles. In addition, the inspection task is carried out under clear weather conditions to ensure the shooting quality.

[0086] Based on the above analysis, the optimal movement state of the intelligent robot in each steel bar detection area is determined. In the area with strong electromagnetic interference, the movement speed is reduced to reduce interference with the movement control system. In the area where there are tall buildings and trees on both sides of the bridge, the movement path is adjusted to ensure movement safety. At the same time, the inspection is carried out during the clear period according to the weather conditions to ensure the shooting quality.

[0087] Specifically, in the main bridge pier detection area, the intelligent robot moves at a low speed and in a stable state and takes pictures at an appropriate height. In the bridge deck detection area, the intelligent robot adjusts the movement path and shooting angle according to the width and shape of the bridge. In the suspension cable detection area, the intelligent robot passes under the suspension cable for shooting, so special attention is paid to the control of the movement height and speed to ensure that there is no collision with the suspension cable.

[0088] 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, realizing the interaction among multiple steel bar detection areas, the detection mode of the intelligent robot, and the moving state of the intelligent robot, facilitating the accurate detection of steel bar detection areas, and ensuring the accuracy of multiple sets of steel bar data.

[0089] At this time, the specific areas for steel bar detection are clarified. These areas are usually determined according to architectural design drawings, construction records, or on-site surveys. Each detection area should include detailed coordinates, ranges, and expected steel bar types and distributions. The detection mode refers to the moving parameters, shooting settings, etc. adopted by the intelligent robot when performing detection tasks. These parameters include moving speed, height, flight path 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 clear and accurate steel bar images can be captured.

[0090] The moving state refers to the real-time state of the intelligent robot during the task execution, such as the current position, speed, height, battery level, moving stability, etc. This information is crucial for ensuring moving safety and optimizing shooting quality. The adjustment of the moving state is based on real-time environmental data (such as wind speed, wind direction, obstacle position). After clarifying the detection area, detection mode, and moving 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. These 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 among multiple steel bar detection areas, the detection mode of the intelligent robot, and the moving 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 moving 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.

[0091] Specifically, assume that steel bar detection is being carried out on the roof structure of a large stadium. The roof structure of the stadium is complex and contains multiple different steel bar detection areas. The following is a specific description of this step in practical applications: Based on multiple steel bar detection areas: First, multiple steel bar detection areas are determined according to the roof design drawings of the stadium, including key structural parts such as main beams, secondary beams, and trusses. Each detection area is marked with detailed coordinates and ranges.

[0092] Detection mode combined with intelligent robot: Considering the complexity and height of the stadium roof structure, high-resolution cameras and appropriate exposure times were selected to ensure the shooting quality. At the same time, multiple flight paths were planned to cover all detection areas, and appropriate moving speeds and heights were set to avoid collisions with the roof structure.

[0093] Consider the moving state of the intelligent robot: During the movement, information such as the position, speed, height, and battery level of the intelligent robot is monitored in real time. When encountering sudden situations (such as strong winds or suddenly appearing obstacles), the moving state is adjusted in a timely manner to ensure moving safety.

[0094] Determine multiple sets of steel bar data: After the obtained image data is further processed and analyzed by image processing software, key information such as the position, diameter, and spacing of the steel bars in the roof structure is extracted. These information are organized into multiple sets of steel bar data for subsequent structural analysis and evaluation.

[0095] During the entire detection process, the detection mode and moving state are continuously adjusted according to the characteristics of the stadium roof structure and real-time environmental data. This interaction ensures that the intelligent robot can flexibly adapt to the complexity and height changes of the stadium roof structure, thus achieving precise detection of the steel bar detection area. Therefore, based on multiple steel bar detection areas, the relative positions of multiple steel bar detection areas are determined. According to multiple sets of steel bar data, the relative positions of multiple steel bar detection areas, and the architectural form of the building under construction, the engineering quality of the building is determined. Considering the overall situation of multiple sets of steel bar data, the relative positions of multiple steel bar detection areas, and the architectural form of the building under construction, the accuracy of the engineering quality of the building is ensured.

[0096] At this time, based on multiple steel bar detection areas, the relative positions are determined. In this step, the specific positions of each steel bar detection area in the building are clarified, and their relative relationships are determined. This usually involves in-depth understanding of the architectural design drawings, as well as on-site investigation and marking. 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, the 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 important bases for evaluating the engineering quality of the building. When collecting data, ensure the accuracy and integrity of the data for subsequent analysis and evaluation.

[0097] The architectural form refers to the overall structure, shape, dimensions 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 positions of the steel bar detection areas, collecting multiple steel bar data, and considering the architectural form of the building, comprehensive analysis and evaluation can be carried out to determine the project 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 project problems such as missing steel bars, position deviation, and insufficient diameter can be discovered, and measures can be taken in a timely manner for repair and improvement.

[0098] Specifically, assume that the project quality of a high-rise residential building under construction is being evaluated. The following is a specific description of the application of step S154 in practice: First, multiple steel bar detection areas are determined according to the architectural design drawings, including key parts such as the floors, beams, and columns of the ground floor, middle floors, and top floors. Then, these detection areas are marked on-site, and the relative position relationships between them are determined.

[0099] An intelligent robot is used to conduct detailed steel bar detection on these detection areas to obtain information such as the position, diameter, and spacing of the steel bars. During the data collection process, the accuracy and integrity of the data are ensured for subsequent analysis and evaluation. Considering the architectural form of the high-rise residential building, including its overall structure, height, span, and other characteristics, by analyzing the architectural form, the distribution and quantity of steel bars in the building are understood, providing a basis for subsequent project quality assessment.

[0100] After clarifying the relative positions of the steel bar detection areas, collecting multiple steel bar data, and considering the architectural form of the building, comprehensive analysis and evaluation are carried out. By comparing and analyzing the steel bar data and the architectural design drawings, some potential project problems are found, such as insufficient diameter and position deviation of steel bars on some floors. In response to these problems, timely communication is carried out with the construction unit, and suggestions for repair and improvement are put forward. At this time, 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 project quality of a 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 project problems and take measures in a timely manner for repair and improvement, thereby ensuring the safety and stability of the building.

[0101] In another embodiment of the present application, the steel bar detection area matching table: Testing area number Relative position description Steel bar data (diameter / spacing, etc.) Matching status with the design drawings A Center of the ground floor slab Diameter 20mm, spacing 150mm Fully matched B End of the middle layer beam Diameter 25mm, spacing 200mm Matched (with minor deviation) C Bottom of the top layer column Diameter 32mm, spacing 100mm Not matched (position deviation) D Ground floor staircase Diameter 16mm, spacing 120mm Fully matched The above table lists multiple steel bar detection areas, their relative positions, steel bar data, and the matching situation with the design drawings. Through the steel bar detection area matching table, the comparison of the steel bar data in each detection area with the design drawings can be clearly seen, so as to quickly discover potential engineering problems.

[0102] In addition, the engineering quality assessment weight and score table: Total score calculation: Evaluation items Weight (%) Evaluation criteria Score (out of 100) Steel bar diameter matching degree 30 Full marks for complete match, 5 points deducted for each 1mm deviation 85 (A area is fully matched, B area has minor deviation) Steel bar spacing matching degree 25 Full marks for complete match, 2 points deducted for each 10mm deviation 90 (A and D areas are fully matched, B area has small deviation) Position accuracy 20 Full marks for complete match, 5 points deducted for each 10cm deviation 70 (C area has position deviation) Steel bar quantity matching degree 15 Full marks for complete match, 2 points deducted for each missing bar 100 (The quantity is matched in all areas) Adaptability to building form 10 Comprehensively evaluated according to the building form 90 (Good overall adaptability) Total score = Degree of match score of steel bar diameter × Weight of degree of match of steel bar diameter + Degree of match score of steel bar spacing × Weight of degree of match of steel bar spacing + Position accuracy score × Position accuracy weight + Degree of match score of steel bar quantity × Weight of degree of match of steel bar quantity + Adaptability score of building form × Weight of adaptability of building form; Total score = 85 × 30% + 90 × 25% + 70 × 20% + 100 × 15% + 90 × 10% = 25.5 + 22.5 + 14 + 15 + 9 = 86 (points); The above table lists the five main items of engineering quality assessment, their weights, assessment criteria, and score situations. Through the calculation of weights and scores, a comprehensive engineering quality assessment score can be obtained, so as to more intuitively understand the engineering quality status of the building. In this example, the total score is 86 points, indicating that the engineering quality of the building is generally good, but there are still some areas for improvement, such as minor deviations in steel bar diameter and spacing and position accuracy, etc. Embodiment 2

[0103] Further referring to Figure 2 , as an implementation of the method shown above Figure 1 , this application provides an embodiment of an engineering quality monitoring device based on intelligent robot monitoring. This device embodiment corresponds to the method embodiment shown in Figure 1 , and this engineering quality monitoring device based on intelligent robot monitoring can be specifically applied to various electronic devices.

[0104] As shown in Figure 2 , the engineering quality monitoring device based on intelligent robot monitoring in this embodiment includes: An engineering stage module 21, configured to determine the engineering stage of the building under construction based on the detection of the intelligent robot for the building; A functional area module 22, configured to, if the engineering stage of the building is the mechanical assessment stage, determine multiple mechanical detection points based on the three-dimensional model corresponding to the building, and determine multiple functional areas according to the division of the three-dimensional model corresponding to the building; The detection route module 23 is used to determine the detection route of the intelligent robot according to multiple mechanical detection points, the layout diagram of the building, and the spatial channels of the building; The steel bar detection area module 24 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 project quality module 25 is used to determine multiple groups of steel bar data according to multiple steel bar detection areas, the detection mode of the intelligent robot, and the moving state of the intelligent robot, and determine the project quality of the building according to the multiple steel bar data, the relative positions of the multiple steel bar detection areas, and the building form of the building under construction.

[0105] To solve the above technical problems, the embodiments of the present application also provide an electronic device. For details, please refer to Figure 3 , Figure 3 This is the basic structural block diagram of the electronic device in this embodiment.

[0106] The electronic device 300 includes a memory 310, a processor 320, and a network interface 330 that are communicatively connected to each other through a device bus. It should be noted that Figure 3 Only the electronic device 300 with components 310 - 330 is shown in the figure, but it should be understood that it is not required to implement all the shown components, and more or fewer components can be alternatively implemented.

[0107] The present application also provides another implementation manner, that is, to provide a medium storing electronically readable instructions, and the electronically readable instructions can be executed by at least one processor to enable the at least one processor to execute the steps of the project quality monitoring method based on intelligent robot monitoring as described above.

[0108] Obviously, the above-described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. The preferred embodiments of the present application are shown in the drawings, 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 under construction by the intelligent robot; 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; Determine the detection route of the intelligent robot according to multiple mechanical detection points, the layout diagram of the building, and the spatial passages of the building; Determine multiple steel bar detection areas based on the detection route, the location of the steel bars, and multiple functional areas; A plurality of sets of steel bar data are determined according to a plurality of steel bar detection areas, the detection mode of the intelligent robot and the moving state of the intelligent robot, and the engineering quality of the building under construction is determined 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.

2. The engineering quality monitoring method based on intelligent robot monitoring according to claim 1 is characterized in that: The step of determining the engineering stage of a building under construction based on detection of the building under construction by the intelligent robot comprises: 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 a plurality of 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 shaping stage and a final shaping 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 according to 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 according to 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, and further comprising: Collecting a plurality of functional data based on the detection of the 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 passage of the building comprises: Associating a plurality of mechanical detection points, a layout diagram of the building, and spatial passages of the building; Determine a first route based on a plurality of mechanical detection points and a layout diagram of the building, and determine a second route based on a 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 method of 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 comprises: 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; Associating the detection route, the location of the steel bars and multiple functional areas; The location of the steel bars is mainly taken, and the location of the steel bars interacts with the detection route and multiple functional areas. Multiple steel bar detection areas are determined according to the interaction of the detection route, the location of the steel bars and multiple functional areas.

7. The engineering quality monitoring method based on intelligent robot monitoring according to claim 6 is characterized in that: The method comprises: determining a plurality of sets of steel bar data according to a plurality of steel bar detection areas, a detection mode of an intelligent robot, and a moving state of the intelligent robot; and determining the engineering quality of the building according to the plurality of steel bar data, relative positions of the plurality of steel bar detection areas, and the architectural form of the building under construction, including: Collect multiple steel bar detection areas, and determine 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; Determine the movement state of the intelligent robot according to 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 multiple steel bar detection areas, detection modes of the intelligent robot, and movement states of the intelligent robot; The relative positions of the plurality of steel bar detection areas are determined based on the plurality of steel bar detection areas, and the engineering quality of the building is determined 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.

8. An engineering quality monitoring device based on intelligent robot monitoring, characterized in that: include: A construction phase module for determining the construction phase of a building based on the detection of the building under construction by the intelligent robot; A functional area module, for determining a plurality of mechanical detection points based on a three-dimensional model corresponding to the building, and determining 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 a mechanical evaluation stage; A detection route module, used to determine the detection route of the intelligent robot according to multiple mechanical detection points, the layout diagram of the building and the spatial channels of the building; A steel bar detection area module, 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 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.

9. An electronic device, characterized in that: It comprises 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 in any one of claims 1 to 7 are implemented.

10. 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 7.

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