Three-dimensional parametric design method and system for intelligent building robots

Abstract

The present invention relates to the field of robot three-dimensional parameter design, and in particular to a three-dimensional parametric design method and system for an intelligent building robot. The method comprises the following steps: performing functional requirements and working environment functional structure analysis on the intelligent building robot, and performing parametric design of the functional structure to generate a functional structure design parameter set of the intelligent building robot; performing three-dimensional modeling design of the functional structure of the intelligent building robot to generate a three-dimensional parametric model of the robot's functional structure; performing multi-dimensional simulation evaluation analysis on the three-dimensional parametric model of the robot's functional structure to obtain kinematic characteristic simulation evaluation data and structural characteristic simulation evaluation data of the intelligent building robot in different working scenarios; performing parameter optimization design on the three-dimensional parametric model of the robot's functional structure to generate a three-dimensional parameter optimization design model of the robot's functional structure. The present invention can realize the three-dimensional parametric design and optimization of the functional structure of an intelligent building robot.

Description

Technical Field

[0001] The present invention relates to the field of robot three-dimensional parameter design, and in particular to a three-dimensional parameterized design method and system for an intelligent building robot. Background Art

[0002] In the field of intelligent buildings, the application of robotics technology is becoming more and more extensive, especially in building construction, maintenance and management, the role of intelligent building robots is becoming more and more important. In addition, in today's construction industry, intelligent technology is developing rapidly. As one of the key technologies for future building manufacturing, more and more people have proposed an innovative solution based on three-dimensional parametric design methods for the design and optimization of intelligent building robots. It combines advanced computer vision, machine learning and automatic control technology to accurately model the functional structure, materials and manufacturing process of the robot, and realizes the high personalization and precise customization of the robot's structural elements. It also realizes the intelligent optimization and automatic generation of structural design parameters by combining intelligent algorithms and machine learning technology, greatly improving the design efficiency and design quality, so as to achieve a high degree of customization and optimization of the robot's structure and function. However, traditional intelligent building robot design methods often rely on fixed structures and limited functions, which are difficult to adapt to the ever-changing construction work environment and task requirements. Summary of the invention

[0003] Based on this, it is necessary for the present invention to provide a three-dimensional parametric design method and system for an intelligent building robot to solve at least one of the above-mentioned technical problems.

[0004] To achieve the above object, a three-dimensional parametric design method for an intelligent building robot comprises the following steps:

[0005] Step S1: Analyze the functional requirements and working environment functional structure of the intelligent building robot to obtain functional requirement data of the intelligent building robot and functional structure information data of the working environment of the intelligent building robot; perform functional structure parameter design of the intelligent building robot based on the functional requirement data of the intelligent building robot and the functional structure information data of the working environment of the intelligent building robot to generate a functional structure design parameter set of the intelligent building robot;

[0006] Step S2: performing functional structure three-dimensional modeling design on the intelligent building robot based on the functional requirement data of the intelligent building robot and the functional structure design parameter set of the intelligent building robot to generate a three-dimensional parametric model of the robot functional structure;

[0007] Step S3: performing multi-dimensional simulation evaluation analysis on the three-dimensional parameterized model of the robot's functional structure to obtain kinematic characteristics simulation evaluation data and structural characteristics simulation evaluation data of the intelligent building robot in different working scenarios;

[0008] Step S4: Based on the kinematic characteristics simulation evaluation data and structural characteristics simulation evaluation data of the intelligent building robot in different working scenarios, the three-dimensional parametric model of the robot's functional structure is optimized and designed to generate a three-dimensional parameter optimization design model of the robot's functional structure.

[0009] The present invention firstly analyzes the functional requirements of the intelligent building robot, and can identify and analyze the core functions and characteristics that the intelligent building robot should have. Through systematic functional requirements analysis, it can ensure that the functional structure product design of the robot is consistent with the functional requirements, and can achieve the expected effect in practical applications. These functional requirements data not only provide specific technical indicators and performance requirements for engineering design, but also provide a solid foundation for subsequent work environment planning and functional structure design. By analyzing the working environment functional structure of the intelligent building robot, it is intended to ensure that the robot design can operate stably and effectively perform tasks in various complex environments. By analyzing the functional structure, the core functions and working modes required by the robot in different environments can be clarified. These analysis information not only helps to optimize the mechanical structure and electronic system of the robot, but also can improve the adaptability and reliability of the robot in practical applications. Through in-depth functional structure analysis, it can effectively reduce technical risks and unnecessary design modifications in the subsequent development process, so that it can be suitable for different functional task requirements. At the same time, the functional structure of the intelligent building robot is parametrically designed based on the functional requirement data of the intelligent building robot and the functional structure information data of the working environment of the intelligent building robot. This step can map the functional requirements into a specific set of robot design parameters through parametric design tools and technologies. These design parameters not only include specific requirements in terms of mechanical structure, sensor configuration and electrical system, but also consider the key factors of maintaining high efficiency and safety in different working environments. Through parametric design, multiple design schemes can be quickly generated and evaluated to select the optimal scheme and advance to the detailed design and manufacturing stage, thereby providing basic data guarantee for the subsequent three-dimensional parametric design process. Secondly, the functional structure of the intelligent building robot is three-dimensionally modeled and designed based on the functional requirement data of the intelligent building robot and the functional structure design parameter set of the intelligent building robot to generate a complete three-dimensional parametric model of the functional structure of the robot. At this stage, the physical structure model of the robot can be accurately constructed according to actual needs and design parameters, and the spatial layout, mechanical connection and interface design of each functional module can be taken into account. This process not only helps to visualize and verify the rationality of the design concept, but also provides the necessary basic data for subsequent simulation evaluation and optimization design.Then, multi-dimensional simulation evaluation and analysis of the three-dimensional parametric model of the robot's functional structure is a key step to ensure the effectiveness and reliability of the robot design scheme. This step can comprehensively evaluate the robot's kinematic characteristics and structural characteristics in different working scenarios through multi-dimensional simulation evaluation. The kinematic characteristics simulation evaluation data involves parameters such as the position error and steering angular velocity error of each functional structure of the robot, while the structural characteristics simulation evaluation data focuses on the strength, stability and durability of each component of the robot. The acquisition and analysis of these evaluation data provide key information for optimizing the design for the subsequent processing process to ensure that the robot can operate stably and efficiently in practical applications. Finally, the three-dimensional parametric model of the robot's functional structure is optimized based on the kinematic characteristics simulation evaluation data and structural characteristics simulation evaluation data of the robot in different working scenarios, aiming to generate a more optimized three-dimensional parametric design model of the robot's functional structure. Through parameter optimization design, the structural design parameters of the robot can be adjusted and optimized to improve its overall performance, efficiency and reliability. This step involves extracting key indicators from simulation data and making optimization decisions, such as adjusting the size of the robot, improving material selection, and optimizing the layout of key components to meet design requirements and performance goals, so that the designed three-dimensional parametric model of the intelligent construction robot can adapt to the ever-changing working environment.

[0010] Preferably, the present invention also provides a three-dimensional parametric design system for an intelligent building robot, which is used to execute the three-dimensional parametric design method for an intelligent building robot as described above, and the three-dimensional parametric design system for an intelligent building robot comprises:

[0011] The robot functional structure parametric design module is used to analyze the functional requirements and working environment functional structure of the intelligent building robot to obtain the functional requirement data of the intelligent building robot and the functional structure information data of the working environment of the intelligent building robot; based on the functional requirement data of the intelligent building robot and the functional structure information data of the working environment of the intelligent building robot, the functional structure parametric design of the intelligent building robot is performed to generate the functional structure design parameter set of the intelligent building robot;

[0012] A robot functional structure three-dimensional modeling and design module is used to perform a three-dimensional modeling and design of the functional structure of the intelligent building robot based on the functional requirement data of the intelligent building robot and the functional structure design parameter set of the intelligent building robot, so as to generate a three-dimensional parametric model of the robot functional structure;

[0013] The three-dimensional parametric model multi-dimensional simulation evaluation module is used to perform multi-dimensional simulation evaluation and analysis on the three-dimensional parametric model of the robot's functional structure, thereby obtaining the kinematic characteristics simulation evaluation data and structural characteristics simulation evaluation data of the intelligent building robot in different working scenarios;

[0014] The three-dimensional model parameter optimization design module is used to perform parameter optimization design on the three-dimensional parametric model of the robot's functional structure based on the kinematic characteristics simulation evaluation data and structural characteristics simulation evaluation data of the intelligent building robot in different working scenarios, so as to generate a three-dimensional parameter optimization design model of the robot's functional structure.

[0015] In summary, the present invention provides a three-dimensional parametric design system for an intelligent building robot, which is composed of a robot functional structure parametric design module, a robot functional structure three-dimensional modeling design module, a three-dimensional parametric model multi-dimensional simulation evaluation module and a three-dimensional model parameter optimization design module. It can realize any three-dimensional parametric design method for an intelligent building robot described in the present invention, and is used to combine the operations between computer programs running on each module to realize the three-dimensional parametric design method for an intelligent building robot. The internal structures of the system cooperate with each other, which can greatly reduce repetitive work and manpower investment, and can quickly and effectively provide a more accurate and efficient three-dimensional parametric design process for an intelligent building robot, thereby simplifying the operating procedures of the three-dimensional parametric design system for an intelligent building robot. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments thereof made with reference to the following drawings:

[0017] Figure 1 A schematic diagram of the steps of the three-dimensional parameterized design method for an intelligent building robot according to the present invention;

[0018] Figure 2 for Figure 1 Detailed step flow diagram of step S1;

[0019] Figure 3 for Figure 2 Detailed step flow chart of step S14 in FIG. DETAILED DESCRIPTION

[0020] The technical method of the present invention is described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by technicians in this field without creative work are within the scope of protection of the present invention.

[0021] In addition, the accompanying drawings are only schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the figures represent the same or similar parts, and their repeated description will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities and do not necessarily correspond to physically or logically independent entities. The functional entities can be implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and / or processor methods and / or microcontroller methods.

[0022] It should be understood that, although the terms "first", "second", etc. may be used herein to describe various units, these units should not be limited by these terms. These terms are used only to distinguish one unit from another unit. For example, without departing from the scope of the exemplary embodiments, the first unit may be referred to as the second unit, and similarly the second unit may be referred to as the first unit. The term "and / or" used herein includes any and all combinations of one or more of the listed associated items.

[0023] To achieve this, please refer to Figures 1 to 3 The present invention provides a three-dimensional parametric design method for an intelligent building robot, the method comprising the following steps:

[0024] Step S1: Analyze the functional requirements and working environment functional structure of the intelligent building robot to obtain functional requirement data of the intelligent building robot and functional structure information data of the working environment of the intelligent building robot; perform functional structure parameter design of the intelligent building robot based on the functional requirement data of the intelligent building robot and the functional structure information data of the working environment of the intelligent building robot to generate a functional structure design parameter set of the intelligent building robot;

[0025] Step S2: performing functional structure three-dimensional modeling design on the intelligent building robot based on the functional requirement data of the intelligent building robot and the functional structure design parameter set of the intelligent building robot to generate a three-dimensional parametric model of the robot functional structure;

[0026] Step S3: performing multi-dimensional simulation evaluation analysis on the three-dimensional parameterized model of the robot's functional structure to obtain kinematic characteristics simulation evaluation data and structural characteristics simulation evaluation data of the intelligent building robot in different working scenarios;

[0027] Step S4: Based on the kinematic characteristics simulation evaluation data and structural characteristics simulation evaluation data of the intelligent building robot in different working scenarios, the three-dimensional parametric model of the robot's functional structure is optimized and designed to generate a three-dimensional parameter optimization design model of the robot's functional structure.

[0028] In the embodiment of the present invention, please refer to Figure 1 FIG. 1 is a schematic diagram of the steps of the three-dimensional parametric design method for an intelligent building robot according to the present invention. In this example, the three-dimensional parametric design method for an intelligent building robot includes the following steps:

[0029] Step S1: Analyze the functional requirements and working environment functional structure of the intelligent building robot to obtain functional requirement data of the intelligent building robot and functional structure information data of the working environment of the intelligent building robot; perform functional structure parameter design of the intelligent building robot based on the functional requirement data of the intelligent building robot and the functional structure information data of the working environment of the intelligent building robot to generate a functional structure design parameter set of the intelligent building robot;

[0030] In the embodiment of the present invention, the functional requirements of the intelligent building robot are analyzed. This process aims to convert user and market requirements into specific technical and functional requirements to ensure that the robot can effectively realize the functions expected by the user during the design and manufacturing stage, thereby obtaining the functional requirements data of the intelligent building robot. At the same time, the environment in which the intelligent building robot will be put into operation is planned and analyzed to determine the actual environmental characteristics of the robot to be operated, including factors such as space limitations, temperature ranges, and physical obstacles, and the corresponding robot functional structure is designed according to the analyzed working environment so that it can operate effectively under specific working environment conditions. For example, the design team will evaluate the various functional modules required by the robot in the process of cleaning the exterior walls of high-rise buildings, such as the cleaning water spray system, the safe landing system, and the wind speed detection sensor. The design of these functional modules must take into account the changes in environmental conditions to ensure that the robot can operate safely and efficiently under various conditions, thereby obtaining the functional structure information data of the working environment of the intelligent building robot, that is, the specific information status of the functional structure of the robot in various working environments. Then, by combining the functional requirement data of the intelligent building robot obtained through analysis and the functional structure information data of the working environment of the intelligent building robot, the corresponding functional structure of the intelligent building robot is designed using a parametric design method to generate detailed design parameters of the robot's functional structure, including the size, structure, spatial layout parameters of the robot's functional structure of each functional component, as well as the strength, weather resistance and operating temperature range of the material. For example, the design team will use CAD software to accurately model functional components such as robotic arms, sensor modules and cleaning nozzles, and adjust the parameters of each component through parametric design to ensure that they can adapt to the changing needs in different working environments, and finally generate a set of design parameters for the functional structure of the intelligent building robot.

[0031] Step S2: performing functional structure three-dimensional modeling design on the intelligent building robot based on the functional requirement data of the intelligent building robot and the functional structure design parameter set of the intelligent building robot to generate a three-dimensional parametric model of the robot functional structure;

[0032] In an embodiment of the present invention, the corresponding functional structure in the intelligent building robot is divided into modules by combining the functional requirement data of the intelligent building robot obtained by analysis, so as to decompose the overall function into relatively independent sub-modules, each sub-module represents an important function or subsystem of the robot, and the dependency relationship between the functional sub-modules is established and the corresponding connection constraints are set. The design parameters of the functional structure sub-modules obtained by the division are matched by combining the functional structure design parameter set of the intelligent building robot obtained by analysis, so as to accurately match the corresponding design parameters of each sub-module, and the corresponding functional structure sub-modules are three-dimensionally modeled by using three-dimensional modeling software (such as SolidWorks, etc.) to convert the design parameters of each sub-module into a specific three-dimensional structural space model, and then, by using the dependency relationship and connection constraints between the functional structure sub-modules obtained by the previous analysis, the three-dimensional structural space models of the functional structure sub-modules are connected and assembled between the functional structure models, and the design is optimized to ensure the coordinated operation between the modules. For example, the sensor position and installation angle of the navigation module must match the action path of the grasping module to ensure that the robot can accurately navigate and perform grasping tasks in different scenarios, and finally the robot functional structure three-dimensional parametric model is designed and generated.

[0033] Step S3: performing multi-dimensional simulation evaluation analysis on the three-dimensional parameterized model of the robot's functional structure to obtain kinematic characteristics simulation evaluation data and structural characteristics simulation evaluation data of the intelligent building robot in different working scenarios;

[0034] In an embodiment of the present invention, by collecting the operation data of the robot under various environmental conditions in actual work, and simulating and designing the operation conditions of the robot in different scenes, the kinematic field simulation processing is performed on the three-dimensional parameterized model of the robot's functional structure, so as to simulate and reproduce the dynamic process of the kinematic field such as movement, posture adjustment and operation path planning of the intelligent building robot in different working scenes, and evaluate and analyze the key error performance parameters of each functional structure joint in the robot during the movement process, including parameters such as motion position error and steering angular velocity error, to evaluate and analyze the kinematic characteristics evaluation results of the robot in different working scenes, so as to obtain the kinematic characteristics simulation evaluation data of the intelligent building robot in different working scenes. At the same time, by combining the different working simulation scene conditions obtained by design, the structural characteristics of the corresponding functional structure in the three-dimensional parameterized model of the robot's functional structure are evaluated and analyzed, so as to fully consider the mechanical load, thermal stress, vibration and other environmental influences borne by the robot during operation to evaluate and analyze the load bearing capacity and structural stability of its structural characteristics in different working scenes, including but not limited to structural stability, durability and safety, and finally obtain the structural characteristics simulation evaluation data of the intelligent building robot in different working scenes.

[0035] Step S4: Based on the kinematic characteristics simulation evaluation data and structural characteristics simulation evaluation data of the intelligent building robot in different working scenarios, the three-dimensional parametric model of the robot's functional structure is optimized and designed to generate a three-dimensional parameter optimization design model of the robot's functional structure.

[0036] In an embodiment of the present invention, by combining the kinematic characteristic simulation evaluation data of the intelligent building robot in different working scenarios obtained by previous evaluation and analysis (including evaluation data such as the robot's motion trajectory error, joint angle error, speed and acceleration excess in different working scene spaces) and the structural characteristic simulation evaluation data, the functional structure corresponding to the three-dimensional parametric model of the robot's functional structure is optimized and analyzed, so as to accurately determine the motion requirements and limitations of the robot in various actual working scenarios to set the optimization targets of the kinematic characteristic parameters, and formulate the optimization targets of the functional structural characteristics in the robot based on the performance of the strength, stability, durability and other aspects of each component of the robot obtained by evaluation, and then, by combining the kinematic characteristic parameter optimization targets and structural characteristic parameter optimization targets generated by optimization, the robot's function is optimized. The corresponding functional structural parameters in the structural three-dimensional parametric model are optimized to combine the optimization objectives of kinematic characteristics and structural characteristics to ensure that the robot can achieve the expected performance indicators in the design stage. The kinematic characteristic optimization objective is used to adjust the robot's joint angle range or improve its motion control algorithm to improve the robot's movement efficiency and accuracy in different working scenarios, while the structural characteristic optimization objective is used to redesign the robot's support structure or enhance the strength of key components to ensure its safety and reliability under various external environmental conditions, thereby adjusting the key parameters of the robot's three-dimensional parametric model, such as the size of the robot's functional structure, material selection, joint design, etc., to maximize the robot's performance potential and practical application value, and finally generate a three-dimensional parameter optimization design model of the robot's functional structure.

[0037] The present invention firstly analyzes the functional requirements of the intelligent building robot, and can identify and analyze the core functions and characteristics that the intelligent building robot should have. Through systematic functional requirements analysis, it can ensure that the functional structure product design of the robot is consistent with the functional requirements, and can achieve the expected effect in practical applications. These functional requirements data not only provide specific technical indicators and performance requirements for engineering design, but also provide a solid foundation for subsequent work environment planning and functional structure design. By analyzing the working environment functional structure of the intelligent building robot, it is intended to ensure that the robot design can operate stably and effectively perform tasks in various complex environments. By analyzing the functional structure, the core functions and working modes required by the robot in different environments can be clarified. These analysis information not only helps to optimize the mechanical structure and electronic system of the robot, but also can improve the adaptability and reliability of the robot in practical applications. Through in-depth functional structure analysis, it can effectively reduce technical risks and unnecessary design modifications in the subsequent development process, so that it can be suitable for different functional task requirements. At the same time, the functional structure of the intelligent building robot is parametrically designed based on the functional requirement data of the intelligent building robot and the functional structure information data of the working environment of the intelligent building robot. This step can map the functional requirements into a specific set of robot design parameters through parametric design tools and technologies. These design parameters not only include specific requirements in terms of mechanical structure, sensor configuration and electrical system, but also consider the key factors of maintaining high efficiency and safety in different working environments. Through parametric design, multiple design schemes can be quickly generated and evaluated to select the optimal scheme and advance to the detailed design and manufacturing stage, thereby providing basic data guarantee for the subsequent three-dimensional parametric design process. Secondly, the functional structure of the intelligent building robot is three-dimensionally modeled and designed based on the functional requirement data of the intelligent building robot and the functional structure design parameter set of the intelligent building robot to generate a complete three-dimensional parametric model of the functional structure of the robot. At this stage, the physical structure model of the robot can be accurately constructed according to actual needs and design parameters, and the spatial layout, mechanical connection and interface design of each functional module can be taken into account. This process not only helps to visualize and verify the rationality of the design concept, but also provides the necessary basic data for subsequent simulation evaluation and optimization design.Then, multi-dimensional simulation evaluation and analysis of the three-dimensional parametric model of the robot's functional structure is a key step to ensure the effectiveness and reliability of the robot design scheme. This step can comprehensively evaluate the robot's kinematic characteristics and structural characteristics in different working scenarios through multi-dimensional simulation evaluation. The kinematic characteristics simulation evaluation data involves parameters such as the position error and steering angular velocity error of each functional structure of the robot, while the structural characteristics simulation evaluation data focuses on the strength, stability and durability of each component of the robot. The acquisition and analysis of these evaluation data provide key information for optimizing the design for the subsequent processing process to ensure that the robot can operate stably and efficiently in practical applications. Finally, the three-dimensional parametric model of the robot's functional structure is optimized based on the kinematic characteristics simulation evaluation data and structural characteristics simulation evaluation data of the robot in different working scenarios, aiming to generate a more optimized three-dimensional parametric design model of the robot's functional structure. Through parameter optimization design, the structural design parameters of the robot can be adjusted and optimized to improve its overall performance, efficiency and reliability. This step involves extracting key indicators from simulation data and making optimization decisions, such as adjusting the size of the robot, improving material selection, and optimizing the layout of key components to meet design requirements and performance goals, so that the designed three-dimensional parametric model of the intelligent construction robot can adapt to the ever-changing working environment.

[0038] Preferably, step S1 comprises the following steps:

[0039] Step S11: conducting a function expectation survey and analysis on the intelligent building robot to obtain function expectation survey data of the intelligent building robot;

[0040] Step S12: performing a functional requirement analysis on the intelligent building robot based on the functional expectation survey data of the intelligent building robot to obtain functional requirement data of the intelligent building robot;

[0041] Step S13: performing work environment planning and analysis on the intelligent building robot to obtain working environment conditions of the intelligent building robot;

[0042] Step S14: performing a working environment functional structure analysis on the intelligent building robot based on the functional requirement data of the intelligent building robot and the working environment conditions of the intelligent building robot to obtain the working environment functional structure information data of the intelligent building robot;

[0043] Step S15: Based on the functional requirement data of the intelligent building robot and the functional structure information data of the working environment of the intelligent building robot, a functional structure parameter set of the intelligent building robot is generated.

[0044] As an embodiment of the present invention, refer to Figure 2As shown, Figure 1 Detailed step flow diagram of step S1 in FIG. 1 , in this embodiment, step S1 includes the following steps:

[0045] Step S11: conducting a function expectation survey and analysis on the intelligent building robot to obtain function expectation survey data of the intelligent building robot;

[0046] In an embodiment of the present invention, a functional expectation survey and analysis is conducted on the intelligent building robot. This process includes extensive market research, user feedback collection, and industry trend analysis, aiming to ensure that the robot can meet the actual needs of various usage scenarios. For example, assuming that the design team is developing an intelligent robot for cleaning the exterior walls of high-rise buildings, market research will be conducted to understand users' specific expectations for cleaning efficiency, safety, and ease of operation, including the expectation that the robot can work in different weather conditions and have autonomous obstacle avoidance capabilities and efficient cleaning capabilities, ultimately obtaining functional expectation survey data for the intelligent building robot.

[0047] Step S12: performing a functional requirement analysis on the intelligent building robot based on the functional expectation survey data of the intelligent building robot to obtain functional requirement data of the intelligent building robot;

[0048] In an embodiment of the present invention, the design team begins to conduct a functional requirement analysis on the intelligent building robot by combining the functional expectation survey data of the intelligent building robot. This process aims to convert user and market demands into specific technical and functional requirements. Continuing with the above example, the design team will identify several key functional requirements from the survey data. For example, the robot needs to be able to adjust the cleaning intensity to adapt to different levels of pollution, and have stable high-altitude operation capabilities and the ability to work for a long time. By analyzing these requirements, it is ensured that the robot can effectively realize the functions expected by users during the design and manufacturing stages, and finally the functional requirement data of the intelligent building robot is obtained.

[0049] Step S13: performing work environment planning and analysis on the intelligent building robot to obtain working environment conditions of the intelligent building robot;

[0050] In an embodiment of the present invention, a planning and analysis is performed on the environment in which the intelligent building robot will work to determine the actual environmental characteristics in which the robot will operate, including factors such as space limitations, temperature ranges, physical obstacles, etc. For example, the design team will measure working environment constraints such as the inclination of the exterior wall of a high-rise building, the size of the cleaning operation area, and the existing wind speed changes, and finally obtain the working environment conditions of the intelligent building robot.

[0051] Step S14: performing a working environment functional structure analysis on the intelligent building robot based on the functional requirement data of the intelligent building robot and the working environment conditions of the intelligent building robot to obtain the working environment functional structure information data of the intelligent building robot;

[0052] In an embodiment of the present invention, the corresponding functional structure of the intelligent building robot is analyzed by combining the analyzed functional requirement data of the intelligent building robot and the working environment conditions of the intelligent building robot, so as to ensure that the design of the robot's functional structure can effectively operate under specific working environment conditions and meet the expected functional requirements. Continuing with the above example, the design team will evaluate the various functional modules required by the robot in the process of cleaning the exterior walls of high-rise buildings, such as cleaning water spray systems, safe landing systems, and wind speed detection sensors. The design of these functional modules must take into account changes in environmental conditions to ensure that the robot can operate safely and efficiently under various conditions, and finally obtain the intelligent building robot working environment functional structure information data.

[0053] Step S15: Based on the functional requirement data of the intelligent building robot and the functional structure information data of the working environment of the intelligent building robot, a functional structure parameter set of the intelligent building robot is generated.

[0054] In an embodiment of the present invention, the functional structure corresponding to the intelligent building robot is designed using a parametric design method by combining the functional requirement data of the intelligent building robot obtained by analysis and the functional structure information data of the working environment of the intelligent building robot, so as to design and generate detailed design parameters of the robot functional structure, including the size, structure, spatial layout parameters of the robot functional structure of each functional component, as well as the strength, weather resistance and operating temperature range of the material, etc. For example, the design team will use CAD software to accurately model functional components such as robotic arms, sensor modules and cleaning nozzles, and adjust the parameters of each component through parametric design to ensure that they can adapt to the changing needs in different working environments, and finally design and generate a set of design parameters for the functional structure of the intelligent building robot.

[0055] The present invention firstly conducts functional expectation survey and analysis on intelligent building robots, which can ensure that the design of intelligent building robots is closely connected with the functional requirements of buildings. This step can obtain the expectations and priority information about the functions of intelligent building robots in the construction field through in-depth investigation and analysis. These data not only include the requirements of functional performance, but also cover the prediction of user experience, safety, reliability and future development trends. Through detailed architectural function survey, the specific functional expectations of different user groups for intelligent building robots can be effectively captured, thereby providing a clear guiding direction for the subsequent design requirements analysis stage. Secondly, by conducting functional requirements analysis on intelligent building robots based on the functional expectation survey data of intelligent building robots, the core functions and characteristics that intelligent building robots should have can be identified from the functional expectation survey data obtained from the survey. Through systematic functional requirements analysis, it can ensure that the functional structure product design of the robot is consistent with the functional requirements, and can achieve the expected effect in practical applications. These functional requirements data not only provide specific technical indicators and performance requirements for engineering design, but also provide a solid foundation for subsequent work environment planning and functional structure design. Then, the working environment planning and analysis of the intelligent building robot is to ensure that it can operate stably and efficiently in various practical application scenarios. This step can identify the key factors that affect the operation and performance of the robot, such as temperature, humidity, space limitations, safety requirements, etc., by conducting a detailed analysis of various possible working environment conditions. The key to this step is to understand and evaluate the impact of different environmental conditions on the performance and operation of the robot, so as to provide the necessary technical constraints and optimization directions for the subsequent functional structure design and parametric design. Next, the working environment functional structure analysis of the intelligent building robot is carried out based on the functional requirement data of the intelligent building robot and the working environment conditions of the intelligent building robot, aiming to ensure that the robot design can operate stably and effectively perform tasks in various complex environments. By analyzing the functional structure, the core functions and working modes required by the robot in different environments can be clarified. These analysis information not only helps to optimize the mechanical structure and electronic system of the robot, but also improves the adaptability and reliability of the robot in practical applications. Through in-depth functional structure analysis, the technical risks and unnecessary design modifications in the subsequent development process can be effectively reduced, thereby improving the R&D efficiency and quality of the product. Finally, the functional structure of the intelligent building robot is parametrically designed based on the functional requirement data of the intelligent building robot and the functional structure information data of the intelligent building robot's working environment. This step, through parametric design tools and techniques, can map the functional requirements into a specific set of robot design parameters. These design parameters not only include specific requirements in terms of mechanical structure, sensor configuration, and electrical system, but also take into account the key factors of maintaining efficiency and safety in different working environments.Through parametric design, multiple design schemes can be quickly generated and evaluated to select the optimal scheme and advance to the detailed design and manufacturing stage, thus providing basic data support for the subsequent three-dimensional parametric design process.

[0056] Preferably, step S14 comprises the following steps:

[0057] Step S141: performing environmental function requirement matching screening on the function requirement data of the intelligent building robot based on the working environment conditions of the intelligent building robot to obtain the working environment function requirement data of the intelligent building robot;

[0058] Step S142: determining the tasks to be performed by the intelligent building robot based on the working environment conditions of the intelligent building robot and the functional requirement data of the working environment of the intelligent building robot, so as to obtain the functional tasks to be performed by the intelligent building robot under different working environment conditions;

[0059] Step S143: Designing task function components of the intelligent building robot according to the tasks to be performed by the intelligent building robot under different working environment conditions, and obtaining the task function requirement components of the working environment of the intelligent building robot;

[0060] Step S144: Perform functional component structure identification and analysis on the functional requirement components of the intelligent building robot's working environment tasks to obtain functional structure information data of the intelligent building robot's working environment.

[0061] As an embodiment of the present invention, refer to Figure 3 As shown, Figure 2 Detailed step flow diagram of step S14 in the embodiment, step S14 includes the following steps:

[0062] Step S141: performing environmental function requirement matching screening on the function requirement data of the intelligent building robot based on the working environment conditions of the intelligent building robot to obtain the working environment function requirement data of the intelligent building robot;

[0063] In an embodiment of the present invention, the functional requirements of the functional requirement data of the intelligent building robot are matched by combining the working environment conditions of the intelligent building robot obtained by the design, so as to ensure that the robot design can effectively operate and perform tasks in actual application scenarios, and accurately determine the functional characteristics and technical parameters that the robot needs to have under specific working environment conditions, and finally obtain the functional requirement data of the working environment of the intelligent building robot.

[0064] Step S142: determining the tasks to be performed by the intelligent building robot based on the working environment conditions of the intelligent building robot and the functional requirement data of the working environment of the intelligent building robot, so as to obtain the functional tasks to be performed by the intelligent building robot under different working environment conditions;

[0065] In an embodiment of the present invention, the tasks to be performed by the corresponding intelligent building robot are determined by combining the analyzed working environment conditions of the intelligent building robot and the functional requirement data of the working environment of the intelligent building robot, so as to determine the specific tasks that the robot needs to perform under different working environment conditions in combination with the specific working environment characteristics and the requirement data. For example, if the robot works on the exterior wall of a high-rise building, its tasks to be performed include cleaning glass, repairing exterior wall paint, inspecting and repairing external equipment, etc., and finally the functional tasks to be performed by the intelligent building robot under different working environment conditions are obtained.

[0066] Step S143: Designing task function components of the intelligent building robot according to the tasks to be performed by the intelligent building robot under different working environment conditions, and obtaining the task function requirement components of the working environment of the intelligent building robot;

[0067] In an embodiment of the present invention, functional components of the corresponding intelligent building robot are designed according to the previously determined functions of the intelligent building robot to be performed under different working environment conditions, so as to decompose the specific tasks into design requirements of various functional components. For example, for a robot that needs to operate at high altitudes, the design of task functional components involves the mechanical arm, the fixing device of the cleaning tool, the sensor system, etc., and enables it to accurately meet the specific task requirements of the robot under various environmental conditions, so as to realize the detailed design including mechanical structure, electronic control system, sensor configuration, etc., and finally obtain the intelligent building robot working environment task functional requirement components.

[0068] Step S144: Perform functional component structure identification and analysis on the functional requirement components of the intelligent building robot's working environment tasks to obtain functional structure information data of the intelligent building robot's working environment.

[0069] In an embodiment of the present invention, computer-aided design (CAD) tools are used to identify and analyze the functional component structures of the designed intelligent building robot working environment task function requirement components, so as to deeply understand and optimize the matching relationship between the robot's functional requirements and functional structure configurations in different working environments, and then optimize the design and configuration of its functional structure in different working environments, including consideration of component material selection, connection methods and assembly processes, and finally obtain the intelligent building robot working environment functional structure information data.

[0070] The present invention firstly performs environmental function requirement matching screening on the functional requirement data of the intelligent building robot based on the working environment conditions of the intelligent building robot, so as to ensure that the robot design can effectively run and perform tasks in actual application scenarios. Through environmental function requirement matching screening, the functional characteristics and technical parameters required by the robot under specific working environment conditions can be accurately determined. The key to this step is to convert the abstract functional requirements into specific engineering technical indicators, thereby providing a reliable basis for the subsequent determination of task execution capabilities and the design of functional components. Through detailed matching screening, unnecessary design complexity and resource waste can be avoided, thereby ensuring that the robot can achieve the expected performance and effect under various environmental conditions. Secondly, by determining the tasks to be performed by the intelligent building robot based on the working environment conditions of the intelligent building robot and the functional requirement data of the working environment of the intelligent building robot, the specific tasks to be performed by the robot under different working environments can be determined. This step can accurately determine the specific tasks and operation processes that the robot needs to complete in various actual scenarios by analyzing the task requirements under different environmental conditions. This not only helps to clarify the application scenarios and usage requirements of the robot under specific environments, but also provides important technical guidance for the subsequent design of task functional components and optimization of functional structures. By determining the tasks to be performed, it is possible to ensure that the robot can efficiently cope with various challenges and requirements in actual operation, and improve its application flexibility and adaptability. Then, the task functional components of the intelligent building robot are designed according to the functional tasks to be performed by the intelligent building robot under different working environment conditions, aiming to ensure that the robot can operate and perform tasks according to the expected functions and performance requirements. By designing the task functional components, the specific task requirements of the robot under various environmental conditions can be accurately met, including the detailed design of mechanical structure, electronic control system, sensor configuration, etc. The key to this step is to convert the task requirements into specific engineering design solutions to ensure that the robot can stably and reliably perform various complex tasks in actual operation. Through the detailed functional component design, the overall performance and operating efficiency of the robot can be effectively optimized, providing solid technical support for its application in the intelligent building environment. Finally, by performing functional component structure identification and analysis on the functional component requirements of the robot's working environment tasks, it is intended to deeply understand and optimize the matching relationship between the robot's functional requirements and structural configuration in different working environments. Through structural identification analysis, we can systematically analyze and evaluate the role and importance of task functional components in the overall functional structure of the robot, and then optimize its design and configuration. This step not only helps to identify and solve technical bottlenecks and risks in the design, but also provides strong technical support and guidance for subsequent engineering design and manufacturing stages.

[0071] Preferably, step S15 comprises the following steps:

[0072] Step S151: performing functional structure constraint analysis on the intelligent building robot based on the functional requirement data of the intelligent building robot and the functional structure information data of the working environment of the intelligent building robot to obtain functional structure constraint conditions of the intelligent building robot;

[0073] In an embodiment of the present invention, a constraint analysis is performed on the corresponding functional structure within the intelligent building robot by combining the functional requirement data of the intelligent building robot and the functional structure information data of the working environment of the intelligent building robot obtained by analysis to determine the functional constraints that the intelligent building robot must follow in specific tasks and environments, including consideration of the functions that the robot must have in a specific working environment, as well as the requirements of the robot's structure, technical limitations, and operability, and ensuring that the design and implementation of its functional structure can meet the needs of actual operations, ultimately obtaining the functional structure constraints of the intelligent building robot.

[0074] Step S152: analyzing the structural layout and physical property parameter design objectives of the intelligent building robot based on the functional structure constraints of the intelligent building robot to obtain the functional structure layout parameter design objectives of the intelligent building robot and the structural physical property parameter design objectives of the intelligent building robot;

[0075] In an embodiment of the present invention, the structural layout design goals and physical property design goals of the corresponding functional structures in the intelligent building robot are determined by combining the functional structure constraints of the intelligent building robot obtained by analysis, so as to analyze the determined functional constraints and convert them into specific design goals of the structural layout and physical properties. For example, for a robot that needs to operate on the exterior wall of a high-rise building, the design goal of the structural layout parameters is designed to optimize the center of gravity position to improve stability, and the design goal of the physical property parameters is designed to select lightweight materials to reduce the total weight, thereby reducing the pressure on the building surface. Finally, the design goals of the functional structure layout parameters of the intelligent building robot and the design goals of the structural physical property parameters of the intelligent building robot are obtained.

[0076] Step S153: performing a structural layout parameter design on the intelligent building robot according to the functional structure layout parameter design target of the intelligent building robot to obtain the functional structure layout design parameters of the intelligent building robot;

[0077] In an embodiment of the present invention, the layout parameters of the corresponding functional structures in the intelligent building robot are designed according to the design objectives of the functional structure layout parameters of the intelligent building robot generated by the design, so as to convert the design objectives into actual structural layout parameters, such as the size, structure and layout scheme of the robot's functional structure, and optimize the configuration of the robot's functional structure layout, including the transmission system, joint design, work platform layout and other aspects, so as to ensure that the robot can operate and execute efficiently in different tasks and environments, and finally obtain the functional structure layout design parameters of the intelligent building robot.

[0078] Step S154: performing a parameterized design of the structural physical properties of the intelligent building robot according to the design target of the structural physical property parameters of the intelligent building robot, and obtaining the structural physical property design parameters of the intelligent building robot;

[0079] In an embodiment of the present invention, the physical property parameters of the corresponding functional structure in the intelligent building robot are similarly designed according to the design targets of the physical property parameters of the intelligent building robot structure generated by the design, so as to convert the physical property design targets into specific physical property parameters, such as the strength, weather resistance and operating temperature range of the material. For example, if the robot needs to work under various climatic conditions, the physical property design targets will select high-temperature resistant and low-temperature resistant materials to ensure that the robot can still operate stably in extreme environments, and finally the physical property design parameters of the intelligent building robot structure are obtained.

[0080] Step S155: Generate a set of functional structure design parameters of the intelligent building robot by merging the functional structure layout design parameters of the intelligent building robot and the structural physical property design parameters of the intelligent building robot.

[0081] In an embodiment of the present invention, the functional structure layout design parameters of the intelligent building robot and the structural physical property design parameters of the intelligent building robot obtained previously are merged into one data set to form a final design parameter set by comprehensively considering the structural layout and physical property parameters of the robot, and finally merged to generate the functional structure design parameter set of the intelligent building robot.

[0082] The present invention firstly analyzes the functional structure constraints of the intelligent building robot based on the functional requirement data of the intelligent building robot and the functional structure information data of the working environment of the intelligent building robot, and can deeply integrate and analyze the functional requirement data of the intelligent building robot and the functional structure information data of the working environment. The key to this step is to determine the functional constraints that must be followed in the design of the robot. These conditions not only take into account the functions that the robot must have in a specific working environment, but also include the requirements of the structure, technical limitations and operability of the robot. Through detailed functional structure constraint analysis, a clear technical basis and design framework can be provided for subsequent structural design and parameter setting, ensuring the scientificity and practicality of the robot design. Secondly, by analyzing the structural layout and physical property parameter design target of the intelligent building robot based on the functional structure constraint conditions of the intelligent building robot, it is intended to ensure that the intelligent building robot can fully consider the optimization and implementation of the structural layout and physical property parameters in the design stage. By analyzing the constraints, determining the design targets of the robot's functional structure layout parameters and the structural physical property parameter design targets, it can provide guidance for specific design schemes. The detailed analysis of this step helps to establish the key performance indicators of the robot design, such as the robot's motion stability, load capacity, energy efficiency ratio and operational flexibility, thereby providing a solid technical foundation for subsequent parametric design and engineering implementation. Then, the intelligent building robot is parametrically designed according to the design objectives of the functional structural layout parameters of the intelligent building robot, aiming to transform the design objectives into specific structural layout design schemes. Through parametric design, the structural layout of the robot can be precisely adjusted to meet the pre-set functional performance requirements and working environment conditions. The detailed design of this step helps to optimize the structural configuration of the robot, including the transmission system, joint design, work platform layout, etc., so as to ensure that the robot can operate and execute efficiently in different tasks and environments. Next, the intelligent building robot is parametrically designed according to the design objectives of the structural physical property parameters of the intelligent building robot, aiming to ensure that the robot fully considers the optimization and implementation of its physical properties during the design stage. Through parametric design, the physical property parameters of the robot, such as material selection, weight distribution, durability, etc., can be accurately determined to meet the expected structural performance and operation requirements. The detailed design of this step helps to optimize the structural physical characteristics of the robot and improve its stability, safety and long-term reliability in the working environment, thereby providing reliable technical guarantees for the practical application of the robot. Finally, by merging the functional structure layout design parameters and the structural physical property design parameters to generate a complete set of functional structure design parameters, the detailed operation of this step ensures the overall coordination and consistency of each design parameter, thereby providing comprehensive technical support and reference basis for the final design plan of the intelligent building robot.By incorporating design parameters, it is possible to ensure that the robot design has optimized overall performance and functional effectiveness in all aspects, thereby improving its adaptability and competitiveness in practical applications.

[0083] Preferably, step S2 comprises the following steps:

[0084] Step S21: Decomposing the functional structure modules of the intelligent building robot based on the functional requirement data of the intelligent building robot to obtain functional structure submodules of each intelligent building robot;

[0085] In an embodiment of the present invention, the corresponding functional structure within the intelligent building robot is divided into modules by combining the functional requirement data of the intelligent building robot obtained by analysis, so as to decompose the overall function into relatively independent sub-modules, each sub-module representing an important function or subsystem of the robot. For example, consider that an intelligent building robot needs to perform a glass curtain wall installation task, and the functional requirements include a navigation system, a grasping device, a safety sensor, etc. Then, the functional structure of the robot can be decomposed into sub-modules such as a navigation module, a grasping module, and a safety control module, wherein each sub-module is responsible for realizing a part of the robot's specific function. For example, the navigation module is responsible for positioning and path planning, and the grasping module is responsible for grasping and placing the glass curtain wall, and finally the functional structure sub-modules of each intelligent building robot are obtained.

[0086] Step S22: Establishing dependency relationships and setting constraints for each intelligent building robot functional structure submodule to obtain functional component dependency relationships and functional component connection constraints between each intelligent building robot functional structure submodule;

[0087] In an embodiment of the present invention, dependency relationships are established between the functional structure sub-modules of the intelligent building robot obtained by division, so as to establish dependency relationships between the functional components, and corresponding connection constraints are set according to the established dependency relationships to effectively manage and control the information flow, energy transfer and operation sequence between modules. For example, the data transmission protocol between the sensor module and the decision-making execution module, the power requirement matching between the actuator and the power system, etc. are determined, so as to avoid conflicts and inconsistencies between the functional modules and ensure that the sub-modules can coordinate and cooperate during the working process. For example, it is determined that the action of the grasping module must be executed after the navigation module confirms that the robot has reached the correct position, so as to ensure safety and accuracy of operation, and finally the functional component dependency relationships and functional component connection constraints between the functional structure sub-modules of the intelligent building robot are obtained.

[0088] Step S23: matching the design parameters of each intelligent building robot functional structure submodule based on the intelligent building robot functional structure design parameter set to obtain a functional structure design parameter subset of each functional structure submodule;

[0089] In an embodiment of the present invention, the functional structure design parameter set of the intelligent building robot obtained by combining the analysis is used to match the design parameters of each intelligent building robot functional structure sub-module obtained after division, so as to accurately match the corresponding design parameters of each sub-module, so as to ensure that each functional structure sub-module can meet the expected performance requirements during operation. For example, the sensor sensitivity of the safety control module must be able to detect obstacles in the surrounding environment in time so that the robot can operate safely without damaging the building or endangering the surrounding personnel. Finally, the functional structure design parameter subset of each functional structure sub-module is matched.

[0090] Step S24: performing three-dimensional modeling processing on each intelligent building robot functional structure submodule based on the functional structure design parameter subset of each functional structure submodule to obtain a functional structure three-dimensional parameter abstract model of each functional structure submodule;

[0091] In an embodiment of the present invention, three-dimensional modeling of the corresponding intelligent building robot functional structure submodules is performed by combining the functional structure design parameter subsets of each functional structure submodule using three-dimensional modeling software (such as SolidWorks, etc.) to convert the design parameters of each submodule into a specific three-dimensional structural space model. These models should take into account the spatial limitations and motion range in actual operations to ensure that the robot can operate effectively in different working scenarios. For example, the three-dimensional model of the grasping module needs to take into account the size of the gripper, the opening and closing range, and the adaptability to the grasped object, and finally obtain the functional structure three-dimensional parameter abstract model of each functional structure submodule.

[0092] Step S25: assemble and optimize the functional structure three-dimensional parameter abstract model of each functional structure submodule according to the functional component dependency relationship and functional component connection constraint conditions between each intelligent building robot functional structure submodule to generate a robot functional structure three-dimensional parameterized model.

[0093] In an embodiment of the present invention, by using the functional component dependencies between the functional structure sub-modules of each intelligent building robot obtained by previous analysis and the functional component connection constraints, the three-dimensional parameter abstract models of the functional structure of each functional structure sub-module obtained after three-dimensional modeling are connected and assembled between the functional structure models, and the design is optimized to ensure the coordinated operation of each module. For example, the sensor position and installation angle of the navigation module must match the action path of the grasping module to ensure that the robot can accurately navigate and perform grasping tasks in different scenarios. Finally, a three-dimensional parametric model of the robot's functional structure is designed and generated.

[0094] The present invention first decomposes the functional structure module of the intelligent building robot based on the functional requirement data of the intelligent building robot. This step is a key step to ensure that the robot can operate according to the expected function. By performing module decomposition based on the functional requirement data, the overall function can be decomposed into relatively independent sub-modules, each of which represents an important function or subsystem of the robot. This decomposition helps to clarify the role, boundary and interoperability of each functional module, and provides a clear technical path and organizational structure for subsequent design, development and testing. For example, decomposing into navigation module, perception module, execution module, etc., each module can be more focused on the optimization and realization of its own function during design, thereby improving the maintainability and scalability of the intelligent building robot. Secondly, by establishing dependencies and setting constraints for each functional structure submodule of the intelligent building robot, at this stage, by establishing dependencies and connection constraints between functional components, the information flow, energy transfer and operation sequence between modules can be effectively managed and controlled. For example, determining the data transmission protocol between the sensor module and the decision execution module, the power requirement matching between the actuator and the power system, etc., this precise constraint setting helps to avoid conflicts and inconsistencies between functional modules, thereby improving the stability and reliability of the overall robot system. Then, matching the design parameters of each intelligent building robot functional structure submodule based on the intelligent building robot functional structure design parameter set is a key step to ensure that each functional structure submodule can effectively meet the expected functional requirements and performance indicators during the design stage. By accurately matching design parameters, such as sensor accuracy, actuator speed, power supply, etc., it can be ensured that each module has sufficient technical capabilities and operational flexibility during design and manufacturing to adapt to different working environments and task requirements. This detailed analysis of parametric design helps to optimize the performance of the overall system and ensure that each functional module can work in a coordinated manner when integrated. Next, by performing three-dimensional modeling processing on each intelligent building robot functional structure submodule based on the functional structure design parameter subset of each functional structure submodule, each abstract functional structure design parameter subset can be converted into a specific visual physical model, such as a CAD model or a virtual simulation model. These models not only provide intuitive references for subsequent engineering manufacturing and assembly, but can also be used to simulate and test the effects and performance of different design schemes. The detailed processing of this step helps to ensure the consistency between the physical implementation of each functional module and the design expectations, and lays a solid foundation for the actual construction of the intelligent building robot.Finally, the functional structure three-dimensional parameter abstract model of each functional structure sub-module is assembled and optimized according to the functional component dependencies and functional component connection constraints between the functional structure sub-modules of each intelligent building robot to generate a complete three-dimensional parametric model of the robot's functional structure. In this stage, the three-dimensional models of each functional module are integrated into a unified whole through model assembly and optimization design, which includes optimizing the spatial layout, interface coordination and information interaction process between modules to ensure that the robot can effectively realize various functions in actual operation and meet the performance and efficiency requirements of the overall system. The detailed operation of this step helps to improve the comprehensive performance of robot design and the operability of system integration, and provide reliable technical support and solutions for applications in the field of intelligent buildings.

[0095] Preferably, step S3 comprises the following steps:

[0096] Step S31: acquiring historical working scene status data of the intelligent building robot, and using three-dimensional simulation software to perform working scene simulation design on the historical working scene status data of the intelligent building robot, so as to generate different working simulation scene conditions of the intelligent building robot;

[0097] In an embodiment of the present invention, the operation data of the robot under various environmental conditions in actual work is collected in the memory of the intelligent building robot, including the actual execution of the installation, maintenance or cleaning process of different building structures. For example, the operation data of the intelligent building robot when installing glass curtain walls in large commercial buildings is collected to record the motion trajectory, working time and special environmental conditions encountered by each functional structure joint, such as wind speed, temperature, etc., so as to obtain the historical working scene status data of the intelligent building robot. At the same time, the collected historical working scene status data of the intelligent building robot is simulated and designed by using three-dimensional simulation software (such as SolidWorks, ROS, etc.) to simulate and design the operating conditions of the robot in different scenes, and finally generate different intelligent building robot working simulation scene conditions.

[0098] Step S32: performing kinematic field simulation processing on the three-dimensional parameterized model of the robot's functional structure based on different intelligent building robot working simulation scene conditions to obtain a kinematic field simulation process of the functional structure of the intelligent building robot in different working scenes;

[0099] In an embodiment of the present invention, by combining the different intelligent construction robot working simulation scene conditions obtained by design, the three-dimensional simulation software (such as SolidWorks, ROS, etc.) is used to simulate the kinematic field of the three-dimensional parametric model of the robot's functional structure, so as to simulate and reproduce the dynamic processes of the kinematic field such as movement, posture adjustment and operation path planning of the intelligent construction robot in different working scenes, and finally obtain the functional structure kinematic field simulation process of the intelligent construction robot in different working scenes.

[0100] Step S33: performing kinematic index parameter analysis on the functional structure kinematic field simulation process of the intelligent building robot in different working scenarios to obtain a functional structure kinematic index parameter set of the intelligent building robot in different working scenarios;

[0101] In an embodiment of the present invention, a kinematic characteristic analysis method is used to perform statistical analysis on the kinematic characteristic parameters between each functional structure joint in the functional structure kinematic field simulation process of the intelligent building robot in different working scenarios, so as to quantitatively evaluate the key error performance parameters of each functional structure joint in the robot during the motion process, including parameters such as motion position error and steering angular velocity error, so as to analyze the motion limit index parameters of each functional structure joint of the intelligent building robot in different working scenarios, and deeply understand the robot's motion ability and movement flexibility under various operating conditions, and finally obtain the functional structure kinematic index parameter set of the intelligent building robot in different working scenarios.

[0102] Step S34: Based on the functional structure kinematic index parameter set of the intelligent building robot in different working scenes, a kinematic characteristic evaluation and analysis is performed on the corresponding functional structure kinematic field simulation process to obtain kinematic characteristic simulation evaluation data of the intelligent building robot in different working scenes;

[0103] In an embodiment of the present invention, the functional structure kinematic index parameter set of the intelligent building robot in different working scenarios obtained by combining the analysis is used to evaluate and analyze the corresponding functional structure kinematic field simulation process, so as to evaluate and analyze the kinematic challenges and reaction speed of the robot in different working scenarios, and determine the stability and accuracy of its movement in a dynamic environment, including the robot's motion trajectory error, joint angle error, speed and acceleration excess in different working scene spaces, and finally obtain the kinematic characteristics simulation evaluation data of the intelligent building robot in different working scenarios.

[0104] Step S35: Based on different intelligent building robot working simulation scene conditions, the three-dimensional parametric model of the robot's functional structure is subjected to structural characteristic simulation evaluation analysis to obtain structural characteristic simulation evaluation data of the intelligent building robot in different working scenes.

[0105] In an embodiment of the present invention, by combining the different intelligent building robot working simulation scene conditions obtained by design, the structural characteristics of the corresponding functional structure in the three-dimensional parametric model of the robot's functional structure are evaluated and analyzed, so as to fully consider the mechanical loads, thermal stresses, vibrations and other environmental influences that the robot bears during operation to evaluate and analyze the load-bearing capacity and structural stability of its structural characteristics in different working scenarios, including but not limited to structural stability, durability and safety, etc., and finally obtain the structural characteristics simulation evaluation data of the intelligent building robot in different working scenarios.

[0106] The present invention first obtains the historical work scene status data of the intelligent building robot, and uses three-dimensional simulation software to perform work scene simulation design on the historical work scene status data of the intelligent building robot. The purpose is to deeply understand the working environment and conditions of the robot in actual applications. By collecting and analyzing historical work data, including the robot's operating environment, workload, environmental factors, etc., an accurate simulation of the robot's actual application scenario can be established. By using three-dimensional simulation software for simulation design, these data can be converted into visual work scene conditions to explore the impact of different working environments on the robot's behavior and performance. This simulation design helps to identify potential work challenges and optimize robot design to ensure that it can operate stably and efficiently in diverse and complex intelligent building environments. Secondly, the kinematic field simulation of the three-dimensional parametric model of the robot's functional structure is carried out based on different intelligent building robot working simulation scene conditions, aiming to evaluate the robot's motion characteristics and behavioral performance under various actual working conditions. Through kinematic simulation, the robot's movement in space, posture adjustment, and operation path planning can be analyzed in detail. This simulation can provide key feedback information for the design team, help optimize the robot's structural layout and motion design, so as to improve its motion efficiency and accuracy, and ensure that the expected functions and performance requirements can be achieved in different working scenes. Then, the kinematic index parameter analysis of the functional structure kinematic field simulation process of the intelligent building robot in different working scenes is carried out to quantitatively evaluate the key performance parameters of the robot during the motion process. By analyzing kinematic indicators such as speed, acceleration, turning radius, etc., we can deeply understand the robot's motion ability and motion flexibility under various operating conditions. These indicators form the basic data of the robot's kinematic characteristics, which provides an important reference for subsequent motion control and path planning, and also provides an objective basis for comparing the advantages and disadvantages of different design schemes. Next, the kinematic characteristics of the corresponding functional structure kinematic field simulation process are evaluated and analyzed based on the functional structure kinematic indicator parameter set of the intelligent building robot in different working scenarios, aiming to reveal the kinematic challenges and optimization potential faced by the robot in actual operation. Through the evaluation and analysis of the kinematic characteristics, potential motion constraints or efficiency problems can be identified and resolved, and the design and control algorithms of the robot can be further optimized. This evaluation data not only helps to improve the operability and stability of the robot in complex environments, but also provides engineers and designers with practical improvement suggestions to ensure that the robot can perform well in various actual scenarios.Finally, the structural characteristics simulation evaluation and analysis of the three-dimensional parametric model of the robot's functional structure is carried out based on different intelligent building robot working simulation scenario conditions in order to comprehensively evaluate the robot's structural strength, durability and safety performance under different working conditions. Through structural characteristics simulation evaluation, the mechanical loads, thermal stresses, vibrations and other environmental influences that the robot is subjected to during operation can be simulated and analyzed, thereby predicting the performance and life of its structural components. This simulation analysis helps to optimize the robot's material selection, structural design and assembly methods, thereby ensuring that it maintains an efficient and reliable working state during long-term operation.

[0107] Preferably, step S33 includes the following steps:

[0108] Step S331: performing functional structure motion range analysis on the functional structure kinematic field simulation process of the intelligent building robot in different working scenarios to obtain the motion area range of each functional structure joint of the intelligent building robot in different working scenarios;

[0109] In an embodiment of the present invention, the motion trajectory and angle range of each functional structure joint are recorded by three-dimensional simulation software (such as SolidWorks, ROS, etc.) during the functional structure kinematic field simulation of the intelligent building robot in different working scenarios, and the movement ability and limitations of each functional structure joint in a specific working area are analyzed, such as rotation range, pitch angle, etc., so as to quantitatively determine the size of the motion range that each functional structure joint of the robot can cover in the working scene space, and finally obtain the size of the motion area range of each functional structure joint of the intelligent building robot in different working scenarios.

[0110] Step S332: performing motion range position error analysis on the motion range size of each functional structure joint of the intelligent building robot in different working scenarios, and obtaining motion position error index parameters between the functional structure joints of the intelligent building robot in different working scenarios;

[0111] In an embodiment of the present invention, an error analysis is performed on the determined motion area range sizes of each functional structural joint of the intelligent building robot in different working scenarios by using a position error comparison method, so as to identify and quantify the position deviations occurring during the robot's movement, and determine the position difference values ​​between each functional structural joint in the intelligent building robot in actual movement, and finally obtain the motion position error index parameters between the functional structural joints of the intelligent building robot in different working scenarios.

[0112] Step S333: monitoring and analyzing the steering angle and duration of the functional structure kinematic field simulation process of the intelligent building robot in different working scenarios, so as to obtain the steering angle and steering time duration of each functional structure joint of the intelligent building robot in different working scenarios;

[0113] In an embodiment of the present invention, three-dimensional simulation software is used to record the size and duration of the steering angle of each functional structure joint when performing a steering action during the simulation of the functional structure kinematic field of the intelligent building robot generated by the simulation in different working scenarios, so as to monitor and obtain the specific angle changes and duration of each joint in the steering process, and evaluate the steering ability and time efficiency of each joint when performing a specific task, and finally obtain the steering angle size and steering time period of each functional structure joint of the intelligent building robot in different working scenarios.

[0114] Step S334: performing steering angular velocity error analysis on the steering angles and steering time periods of each functional structural joint of the intelligent building robot in different working scenarios, and obtaining steering angular velocity error index parameters between the functional structural joints of the intelligent building robot in different working scenarios;

[0115] In an embodiment of the present invention, the steering angle size and steering time period of each functional structural joint of the intelligent building robot in different working scenarios obtained by monitoring and analyzing are used to statistically calculate the steering angular velocity size of each functional structural joint, and the difference between the steering angular velocity sizes of each functional structural joint is quantitatively calculated, so as to determine the angular velocity error value between each functional structural joint of the robot in the dynamic steering task, and finally obtain the steering angular velocity error index parameters between the functional structural joints of the intelligent building robot in different working scenarios.

[0116] Step S335: Merge the motion position error index parameters and the steering angular velocity error index parameters between the functional structure joints of the intelligent building robot in different working scenarios to obtain a functional structure kinematic index parameter set of the intelligent building robot in different working scenarios.

[0117] The embodiment of the present invention merges the motion position error index parameters between the functional structure joints and the steering angular velocity error index parameters of the intelligent building robot in different working scenarios obtained by previous quantitative calculation, so as to merge their corresponding error index parameters into one data set, and make it comprehensively evaluate the robot's motion ability and control accuracy in various working scenarios, and finally obtain the functional structure kinematic index parameter set of the intelligent building robot in different working scenarios.

[0118] The present invention first analyzes the functional structure motion range of the intelligent building robot in different working scenes through the functional structure kinematic field simulation process, in order to accurately evaluate the motion ability and limitation of each joint of the robot in different working scenes. Through the simulation process, the size of the motion range that each joint can cover in space can be determined, which is crucial for determining the operating range and flexibility of the robot in practical applications. This analysis can not only help the design team optimize the joint design and path planning algorithm, ensure that the robot can operate effectively in a complex building environment, but also provide basic data for subsequent motion control strategies. Secondly, by analyzing the motion range position error of the motion area range size of each functional structure joint of the intelligent building robot in different working scenes, it is helpful to identify and quantify the position deviation that occurs during the robot movement process. By evaluating the position error index parameter, the difference between each functional structure joint in actual motion and the ideal path can be determined, thereby evaluating the accuracy and stability of the motion control system. This analysis is of great significance for improving the path planning algorithm, optimizing the sensor layout, and improving the robot operation accuracy, especially in the intelligent building environment that requires high-precision operation. Then, by monitoring and analyzing the steering angle and duration of the functional structure kinematic field simulation process of the intelligent building robot in different working scenes, it is to understand and optimize the steering behavior of the robot in a complex space. Through simulation monitoring, the specific angle changes and duration of each joint during the steering process can be obtained. These data are crucial for designing reliable steering control strategies, avoiding collisions, and improving robot operation efficiency. Through detailed angle monitoring and analysis, the design team can ensure that the robot can safely and accurately navigate and position itself in various working scenarios to meet the requirements of complex building spaces. Next, the steering angular velocity error analysis of the steering angle size and steering period length of each functional structural joint of the intelligent building robot in different working scenarios is carried out to evaluate the control accuracy and response speed problems of the robot during rapid steering. By evaluating the angular velocity error index parameters, the control delay or overshoot phenomenon that may exist in the robot in different working scenarios can be identified, thereby optimizing the control algorithm and dynamic response capability. This analysis is of great significance for ensuring the safe operation and precise positioning of the robot in a compact space, especially in application scenarios that require frequent steering and high-speed movement. Finally, by merging the motion position error index parameters and the steering angular velocity error index parameters to form a comprehensive set of functional structural kinematic index parameters, the purpose is to comprehensively evaluate the robot's motion ability and control accuracy in various working scenarios. These comprehensive indicators can not only provide a comprehensive performance evaluation basis for the design team, but also provide guidance for engineers to optimize the overall motion control strategy and structural design of the robot system.By comprehensively evaluating the kinematic indicator parameter set, the design team can ensure that the robot can achieve the expected performance and operation requirements in various practical application scenarios, thereby improving the reliability and adaptability of the intelligent building robot system.

[0119] Preferably, step S35 includes the following steps:

[0120] Step S351: setting structural force loads and boundary conditions for the three-dimensional parameterized model of the robot's functional structure based on different intelligent building robot working simulation scene conditions, so as to obtain structural force simulation load conditions and boundary conditions under different working scenes;

[0121] In an embodiment of the present invention, different intelligent construction robot working simulation scene conditions are generated by combining the setting to set the corresponding three-dimensional parametric model of the robot's functional structure, so as to effectively determine the structural force load and boundary conditions of the functional structure on the robot in different working scenes. For example, consider the load conditions of an intelligent construction robot when painting on different types of walls. In this example, the working scenes include hardwood floors, stone bricks and ceramic tile walls. Each type of wall has different friction and propulsion requirements for the robot. The structural force load setting involves determining the expected load of the robot in each scene, such as the weight of painting equipment, batteries and sensors, and the inertial force and resistance when running on different walls. The boundary condition setting involves the constraints and limitations encountered by the robot in each scene, such as the turning radius of the robot in a narrow area or the limitation of battery life when driving on the ground. Finally, the structural force simulation load conditions and boundary conditions in different working scenes are obtained.

[0122] Step S352: Perform structural force field simulation processing on the three-dimensional parameterized model of the robot's functional structure according to the structural force simulation load conditions and boundary conditions in different working scenarios, so as to obtain the mechanical field simulation process of the functional structure of the intelligent building robot in different working scenarios;

[0123] In an embodiment of the present invention, by combining the structural force simulation load conditions and boundary conditions in different working scenarios previously set, a three-dimensional simulation software is used to perform a structural mechanics field simulation analysis on the corresponding three-dimensional parametric model of the robot's functional structure, so as to analyze the mechanical response of the robot's functional structure in different scenarios, including the stress distribution of each component and material and the deformation of the overall structure. For example, for the wall painting scenario, the additional friction and resistance of the robot's functional structure when moving between walls, as well as the force field conditions exerted by the painting tools on the wall surface will be considered, and finally the functional structure of the intelligent building robot in different working scenarios will be simulated. The mechanical field simulation process.

[0124] Step S353: performing force and deformation statistical analysis on the mechanical field simulation process of the functional structure of the intelligent building robot in different working scenarios to obtain the force and deformation modulus of the functional structure of the intelligent building robot in different working scenarios;

[0125] In an embodiment of the present invention, a stress-deformation analysis method is used to analyze the mechanical field simulation process of the functional structure of the intelligent building robot in different working scenarios, so as to analyze the deformation of the functional structure of the robot under different wall types and force load conditions, such as the degree of deformation of the head and bracket of the painting tool, and evaluate and analyze the stress-deformation conditions of each component of the robot in each working scenario, so as to obtain various stress-deformation conditions experienced by the robot in actual operation, such as the degree of deformation of stretching, compression, bending, etc., and finally obtain the stress-deformation modulus of the functional structure of the intelligent building robot in different working scenarios.

[0126] Step S354: performing quantitative calculation of the structural load yield strength of the functional structure of the intelligent building robot in different working scenarios during the mechanical field simulation process, and obtaining the functional structure load yield strength of the intelligent building robot in different working scenarios;

[0127] In an embodiment of the present invention, the load conditions of each functional structure of the intelligent building robot are identified and analyzed during the mechanical field simulation of the functional structure in different working scenarios to determine the deformation safety boundary of the robot's functional structure when subjected to the extreme load, and quantitative calculation is performed to quantitatively evaluate the maximum load-bearing capacity of each functional structural component, that is, the load yield strength, and finally the load yield strength of the functional structure of the intelligent building robot in different working scenarios is obtained.

[0128] Step S355: Based on the stress-deformation modulus and load yield strength of the functional structure of the intelligent building robot in different working scenarios, a structural characteristic simulation, evaluation and analysis is performed on the corresponding functional structure in the three-dimensional parametric model of the robot's functional structure to obtain the structural characteristic simulation evaluation data of the intelligent building robot in different working scenarios.

[0129] In an embodiment of the present invention, the structural characteristics of the corresponding functional structure in the three-dimensional parametric model of the robot's functional structure are evaluated and analyzed by combining the analyzed functional structure stress deformation modulus and load yield strength of the functional structure in different working scenarios. The robot's structural characteristics in actual work are evaluated and analyzed by comprehensively considering the stress deformation modulus and load yield strength results under different ground and load conditions, including but not limited to structural stability, durability and safety, etc., to finally obtain the structural characteristics simulation evaluation data of the intelligent building robot in different working scenarios.

[0130] The present invention first sets the structural force load and boundary conditions of the three-dimensional parameterized model of the robot's functional structure based on different intelligent building robot working simulation scene conditions, which can effectively determine the structural force load and boundary conditions of the robot's functional structure. This step is crucial because it provides the necessary input parameters for the subsequent structural mechanics simulation. Through the parameterized three-dimensional model setting, the mechanical challenges and limitations faced by the robot in various actual working environments can be simulated, such as load-bearing, dynamic load, environmental changes, etc. This precise preset makes the subsequent simulation process more real and reliable, and helps to reveal the performance limit and optimization space of the robot design in practical applications. Secondly, the three-dimensional parameterized model of the robot's functional structure is subjected to structural force field simulation processing according to the structural force simulation load conditions and boundary conditions under different working scenes. This process can analyze the structural mechanics response of the robot in various working scenes in detail through numerical simulation technology. Through simulation processing, the force distribution, stress concentration and its changing law of each key component of the robot can be accurately simulated and observed. This precise force field simulation provides the design team with the ability to deeply understand the strength and stability of the robot structure, and provides important data support for further optimizing the structural design and material selection. Then, by conducting a force deformation statistical analysis on the mechanical field simulation process of the functional structure of the intelligent building robot in different working scenarios, various force deformation conditions experienced by the robot in actual operation, such as stretching, compression, bending, etc., can be obtained. These deformation statistics are of key significance for evaluating the structural fatigue and deformation problems that occur in the long-term use of the robot. Through in-depth analysis of the force deformation modulus, the design team can identify and optimize the weak links in the robot structure, thereby enhancing its durability and reliability. Next, by conducting a quantitative calculation of the structural load yield strength of the mechanical field simulation process of the functional structure of the intelligent building robot in different working scenarios, this step aims to determine the yield strength and safety boundary of the robot structure when subjected to extreme loads. Through quantitative calculation, the design team can accurately evaluate the maximum load-bearing capacity of each key component and optimize the structural design accordingly to ensure that the robot can still maintain structural integrity and safety when facing critical working conditions. These calculation data provide a key basis for formulating robot operation and maintenance strategies. Finally, the structural characteristics of the corresponding functional structure in the three-dimensional parametric model of the robot's functional structure are simulated, evaluated and analyzed based on the stress-deformation modulus and load yield strength of the functional structure of the intelligent construction robot in different working scenarios. This comprehensive evaluation aims to fully understand the performance characteristics of the robot structure, including but not limited to structural stability, durability and safety.Through simulation evaluation data, the design team was able to identify and optimize key design parameters to further improve the robot's operational efficiency and reliability in complex working environments. These parameter data not only provide the necessary guarantees for the actual application of the robot, but also provide valuable experience and guidance for the future development of intelligent building robot technology.

[0131] Preferably, step S4 comprises the following steps:

[0132] Step S41: Based on the kinematic characteristic simulation evaluation data of the intelligent building robot in different working scenarios, the kinematic characteristic optimization target analysis is performed on the three-dimensional parameterized model of the robot's functional structure to obtain the kinematic characteristic parameter optimization target of the robot's three-dimensional model;

[0133] In an embodiment of the present invention, by combining the kinematic characteristics simulation evaluation data of the intelligent construction robot in different working scenarios obtained by previous evaluation and analysis (including evaluation data such as the motion trajectory error, joint angle error, speed and acceleration excess of the robot in different working scene spaces), the corresponding robot functional structure three-dimensional parametric model is optimized and analyzed for the kinematic characteristics, so as to accurately determine the motion requirements and limitations of the robot in various actual working scenarios, and then set the optimization target of the kinematic characteristic parameters. For example, assuming that there is an intelligent construction robot used to transport building materials in a construction site, in the simulation evaluation process, different scenarios can be set, such as flat ground, ramps, narrow passages, etc., and the movement path and action of the robot can be simulated by simulation software to obtain the robot's kinematic characteristics such as the movement position deviation and turning radius deviation in different scenarios, and the kinematic characteristics that appear can be analyzed by the corresponding optimization algorithm to analyze the optimization target of the parameters. For example, if the turning radius of the robot is too large in a narrow passage, it is necessary to use the optimized robot wheel layout or control algorithm to determine the specific target parameters that need to be adjusted and improved in the kinematic characteristics of the robot's three-dimensional model, and finally obtain the optimization target of the robot's three-dimensional model kinematic characteristic parameters.

[0134] Step S42: performing structural characteristic optimization target analysis on the three-dimensional parameterized model of the robot's functional structure based on the structural characteristic simulation evaluation data of the intelligent building robot in different working scenarios, and obtaining the optimization target of the structural characteristic parameters of the three-dimensional model of the robot;

[0135] In an embodiment of the present invention, by combining the structural characteristics simulation evaluation data of the intelligent construction robot in different working scenarios obtained by previous evaluation and analysis, the corresponding functional structure in the three-dimensional parametric model of the robot's functional structure is analyzed for optimization targets, so as to formulate optimization targets for the functional structure characteristics in the robot according to the performance of the strength, stability, durability and other aspects of each component of the robot obtained by evaluation. These targets involve aspects such as material selection, structural design improvement and reduction of structural weight. For example, assuming an intelligent construction robot used for high-altitude cleaning, in the simulation evaluation, the wind pressure and gravity that the robot bears in a high-altitude environment can be simulated to evaluate whether its functional structure is strong enough to cope with these external forces, and the structural characteristics of the robot, such as material strength, stability of connecting parts, etc., are collected therefrom. At the same time, the functional structure is optimized and analyzed based on the simulation evaluation data to analyze the functional structure parameter optimization targets such as material selection or strengthening of key connection points, and finally the robot's three-dimensional model structural characteristic parameter optimization targets are obtained.

[0136] Step S43: Parameter optimization design is performed on the robot functional structure three-dimensional parametric model according to the robot three-dimensional model kinematic characteristic parameter optimization target and the robot three-dimensional model structural characteristic parameter optimization target to generate a robot functional structure three-dimensional parameter optimization design model.

[0137] In an embodiment of the present invention, the corresponding functional structural parameters in the three-dimensional parametric model of the robot's functional structure are optimized by combining the optimization targets of the kinematic characteristic parameters of the robot's three-dimensional model and the optimization targets of the structural characteristic parameters of the robot's three-dimensional model to combine the optimization targets of the kinematic characteristics and the structural characteristics, so as to ensure that the robot can achieve the expected performance indicators in the design stage, wherein the kinematic characteristic optimization target is used to adjust the robot's joint angle range or improve its motion control algorithm to improve the robot's movement efficiency and accuracy in different working scenarios, while the structural characteristic optimization target is used to redesign the robot's support structure or enhance the strength of key components to ensure its safety and reliability under various external environmental conditions, thereby adjusting the key parameters of the robot's three-dimensional parametric model, such as the size of the robot's functional structure, material selection, joint design, etc., to maximize the robot's performance potential and practical application value, and finally generate a three-dimensional parameter optimization design model of the robot's functional structure.

[0138] The present invention first analyzes the kinematic characteristics optimization target of the three-dimensional parameterized model of the robot's functional structure based on the kinematic characteristics simulation evaluation data of the intelligent building robot in different working scenarios, wherein the kinematic characteristics include parameters such as the robot's motion trajectory in space, joint angle range, speed and acceleration. Through the analysis of the simulation evaluation data, the design team can accurately determine the robot's motion requirements and limitations in various actual working scenarios, and then set the optimization target of the kinematic characteristics. This step not only helps to improve the robot's motion efficiency and accuracy during operation, but also provides important guidance for subsequent control system design and path planning. Then, the structural characteristics optimization target of the three-dimensional parameterized model of the robot's functional structure is analyzed based on the structural characteristics simulation evaluation data of the intelligent building robot in different working scenarios, wherein the structural characteristics include the performance of the strength, stability, durability and other aspects of each component of the robot. This step is based on the simulation evaluation data analysis under different working scenarios. The design team can fully understand the response of the robot structure under different stress conditions, thereby formulating the optimization target of the structural characteristics. These targets involve material selection, structural design improvement and reduction of structural weight, aiming to improve the overall performance and service life of the robot to meet the actual needs in complex working environments. Finally, the three-dimensional parametric model of the robot's functional structure is parameter optimized according to the optimization targets of the robot's three-dimensional model kinematic characteristic parameters and the robot's three-dimensional model structural characteristic parameters. This step is the key link in the entire design optimization process, which involves converting the optimization targets of kinematics and structural characteristics into actual design parameters. Through parameter optimization design, the robot's structural geometry, material selection and key component layout can be adjusted to achieve the best balance between motion and structural characteristics. The generation of the optimized design model not only needs to consider functional requirements, but also needs to take into account manufacturing feasibility and cost-effectiveness to ensure that the final design scheme can operate stably and reliably in actual applications. It not only provides profound support for the theoretical basis and practical application of robot design, but also provides a strong technical guarantee for the development and application of intelligent building technology.

[0139] Preferably, the present invention also provides a three-dimensional parametric design system for an intelligent building robot, which is used to execute the three-dimensional parametric design method for an intelligent building robot as described above, and the three-dimensional parametric design system for an intelligent building robot comprises:

[0140] The robot functional structure parametric design module is used to analyze the functional requirements and working environment functional structure of the intelligent building robot to obtain the functional requirement data of the intelligent building robot and the functional structure information data of the working environment of the intelligent building robot; based on the functional requirement data of the intelligent building robot and the functional structure information data of the working environment of the intelligent building robot, the functional structure parametric design of the intelligent building robot is performed to generate the functional structure design parameter set of the intelligent building robot;

[0141] A robot functional structure three-dimensional modeling and design module is used to perform a three-dimensional modeling and design of the functional structure of the intelligent building robot based on the functional requirement data of the intelligent building robot and the functional structure design parameter set of the intelligent building robot, so as to generate a three-dimensional parametric model of the robot functional structure;

[0142] The three-dimensional parametric model multi-dimensional simulation evaluation module is used to perform multi-dimensional simulation evaluation and analysis on the three-dimensional parametric model of the robot's functional structure, thereby obtaining the kinematic characteristics simulation evaluation data and structural characteristics simulation evaluation data of the intelligent building robot in different working scenarios;

[0143] The three-dimensional model parameter optimization design module is used to perform parameter optimization design on the three-dimensional parametric model of the robot's functional structure based on the kinematic characteristics simulation evaluation data and structural characteristics simulation evaluation data of the intelligent building robot in different working scenarios, so as to generate a three-dimensional parameter optimization design model of the robot's functional structure.

[0144] In summary, the present invention provides a three-dimensional parametric design system for an intelligent building robot, which is composed of a robot functional structure parametric design module, a robot functional structure three-dimensional modeling design module, a three-dimensional parametric model multi-dimensional simulation evaluation module and a three-dimensional model parameter optimization design module. It can realize any three-dimensional parametric design method for an intelligent building robot described in the present invention, and is used to combine the operations between computer programs running on each module to realize the three-dimensional parametric design method for an intelligent building robot. The internal structures of the system cooperate with each other, which can greatly reduce repetitive work and manpower investment, and can quickly and effectively provide a more accurate and efficient three-dimensional parametric design process for an intelligent building robot, thereby simplifying the operating procedures of the three-dimensional parametric design system for an intelligent building robot.

[0145] Therefore, the embodiments should be regarded as illustrative and non-restrictive from all points, and the scope of the present invention is limited by the appended claims rather than the above description, and it is therefore intended that all changes falling within the meaning and range of equivalent elements of the application documents are included in the present invention.

[0146] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features invented herein.

Claims

1. A three-dimensional parametric design method for an intelligent building robot, characterized in that: The following steps are involved: Step S1: Analyze the functional requirements and working environment functional structure of the intelligent building robot to obtain the functional requirement data of the intelligent building robot and the functional structure information data of the working environment of the intelligent building robot; Based on the functional requirement data of the intelligent building robot and the functional structure information data of the working environment of the intelligent building robot, the functional structure of the intelligent building robot is parametrically designed to generate a functional structure design parameter set of the intelligent building robot; wherein step S1 includes the following steps: Step S11: conducting a function expectation survey and analysis on the intelligent building robot to obtain function expectation survey data of the intelligent building robot; Step S12: performing a functional requirement analysis on the intelligent building robot based on the functional expectation survey data of the intelligent building robot to obtain functional requirement data of the intelligent building robot; Step S13: performing work environment planning and analysis on the intelligent building robot to obtain working environment conditions of the intelligent building robot; Step S14: Based on the functional requirement data of the intelligent building robot and the working environment conditions of the intelligent building robot, the working environment functional structure analysis of the intelligent building robot is performed to obtain the working environment functional structure information data of the intelligent building robot; wherein step S14 includes the following steps: Step S141: performing environmental function requirement matching screening on the function requirement data of the intelligent building robot based on the working environment conditions of the intelligent building robot to obtain the working environment function requirement data of the intelligent building robot; Step S142: determining the tasks to be performed by the intelligent building robot based on the working environment conditions of the intelligent building robot and the functional requirement data of the working environment of the intelligent building robot, so as to obtain the functional tasks to be performed by the intelligent building robot under different working environment conditions; Step S143: designing task function components of the intelligent building robot according to the tasks to be performed by the intelligent building robot under different working environment conditions, and obtaining the task function requirement components of the working environment of the intelligent building robot; Step S144: performing functional component structure identification analysis on the intelligent building robot working environment task function requirement components to obtain the intelligent building robot working environment functional structure information data; Step S15: Based on the functional requirement data of the intelligent building robot and the functional structure information data of the working environment of the intelligent building robot, the functional structure of the intelligent building robot is parametrically designed to generate a functional structure design parameter set of the intelligent building robot; wherein step S15 includes the following steps: Step S151: performing functional structure constraint analysis on the intelligent building robot based on the functional requirement data of the intelligent building robot and the functional structure information data of the working environment of the intelligent building robot to obtain functional structure constraint conditions of the intelligent building robot; Step S152: analyzing the structural layout and physical property parameter design targets of the intelligent building robot based on the functional structural constraints of the intelligent building robot to obtain the functional structural layout parameter design targets of the intelligent building robot and the structural physical property parameter design targets of the intelligent building robot; Step S153: performing a structural layout parameter design on the intelligent building robot according to the functional structure layout parameter design target of the intelligent building robot to obtain the functional structure layout design parameters of the intelligent building robot; Step S154: performing a parameterized design of the structural physical properties of the intelligent building robot according to the design target of the structural physical property parameters of the intelligent building robot, and obtaining the structural physical property design parameters of the intelligent building robot; Step S155: generating a set of design parameters for the functional structure of the intelligent building robot by merging the design parameters for the functional structure layout of the intelligent building robot and the design parameters for the physical properties of the structure of the intelligent building robot; Step S2: performing functional structure three-dimensional modeling design on the intelligent building robot based on the functional requirement data of the intelligent building robot and the functional structure design parameter set of the intelligent building robot to generate a three-dimensional parametric model of the robot functional structure; Step S3: Perform multi-dimensional simulation evaluation and analysis on the three-dimensional parameterized model of the robot's functional structure to obtain kinematic characteristics simulation evaluation data and structural characteristics simulation evaluation data of the intelligent building robot in different working scenarios; wherein step S3 includes the following steps: Step S31: acquiring historical working scene status data of the intelligent building robot, and using three-dimensional simulation software to perform working scene simulation design on the historical working scene status data of the intelligent building robot, so as to generate different working simulation scene conditions of the intelligent building robot; Step S32: performing kinematic field simulation processing on the three-dimensional parameterized model of the robot's functional structure based on different intelligent building robot working simulation scene conditions to obtain a kinematic field simulation process of the functional structure of the intelligent building robot in different working scenes; Step S33: Perform kinematic index parameter analysis on the functional structure kinematic field simulation process of the intelligent building robot in different working scenarios to obtain a functional structure kinematic index parameter set of the intelligent building robot in different working scenarios; wherein step S33 includes the following steps: Step S331: performing functional structure motion range analysis on the functional structure kinematic field simulation process of the intelligent building robot in different working scenarios to obtain the motion area range of each functional structure joint of the intelligent building robot in different working scenarios; Step S332: performing motion range position error analysis on the motion range size of each functional structure joint of the intelligent building robot in different working scenarios, and obtaining motion position error index parameters between the functional structure joints of the intelligent building robot in different working scenarios; Step S333: monitoring and analyzing the steering angle and duration of the functional structure kinematic field simulation process of the intelligent building robot in different working scenarios, so as to obtain the steering angle and steering time duration of each functional structure joint of the intelligent building robot in different working scenarios; Step S334: performing steering angular velocity error analysis on the steering angles and steering time periods of each functional structural joint of the intelligent building robot in different working scenarios, and obtaining steering angular velocity error index parameters between the functional structural joints of the intelligent building robot in different working scenarios; Step S335: merging the motion position error index parameters and the steering angular velocity error index parameters between the functional structure joints of the intelligent building robot in different working scenarios to obtain a functional structure kinematic index parameter set of the intelligent building robot in different working scenarios; Step S34: Based on the functional structure kinematic index parameter set of the intelligent building robot in different working scenes, a kinematic characteristic evaluation analysis is performed on the corresponding functional structure kinematic field simulation process to obtain kinematic characteristic simulation evaluation data of the intelligent building robot in different working scenes; Step S35: Based on different intelligent building robot working simulation scene conditions, the three-dimensional parameterized model of the robot functional structure is simulated, evaluated and analyzed for structural characteristics, and the structural characteristics simulation evaluation data of the intelligent building robot in different working scenes are obtained; wherein step S35 includes the following steps: Step S351: setting structural force loads and boundary conditions for the three-dimensional parameterized model of the robot's functional structure based on different intelligent building robot working simulation scene conditions, so as to obtain structural force simulation load conditions and boundary conditions under different working scenes; Step S352: Perform structural force field simulation processing on the three-dimensional parameterized model of the robot's functional structure according to the structural force simulation load conditions and boundary conditions in different working scenarios, so as to obtain the mechanical field simulation process of the functional structure of the intelligent building robot in different working scenarios; Step S353: performing force and deformation statistical analysis on the mechanical field simulation process of the functional structure of the intelligent building robot in different working scenarios to obtain the force and deformation modulus of the functional structure of the intelligent building robot in different working scenarios; Step S354: performing quantitative calculation of the structural load yield strength of the functional structure of the intelligent building robot in different working scenarios during the mechanical field simulation process, and obtaining the functional structure load yield strength of the intelligent building robot in different working scenarios; Step S355: Based on the stress deformation modulus and load yield strength of the functional structure of the intelligent building robot in different working scenarios, a structural characteristic simulation evaluation analysis is performed on the corresponding functional structure in the three-dimensional parameterized model of the robot's functional structure to obtain structural characteristic simulation evaluation data of the intelligent building robot in different working scenarios; Step S4: Based on the kinematic characteristics simulation evaluation data and structural characteristics simulation evaluation data of the intelligent building robot in different working scenarios, the three-dimensional parametric model of the robot's functional structure is parameter optimized to generate a three-dimensional parameter optimization design model of the robot's functional structure.

2. The three-dimensional parametric design method for an intelligent building robot according to claim 1, characterized in that: Step S2 includes the following steps: Step S21: Decomposing the functional structure modules of the intelligent building robot based on the functional requirement data of the intelligent building robot to obtain functional structure submodules of each intelligent building robot; Step S22: Establishing dependency relationships and setting constraints for each intelligent building robot functional structure submodule to obtain functional component dependency relationships and functional component connection constraints between each intelligent building robot functional structure submodule; Step S23: matching the design parameters of each intelligent building robot functional structure submodule based on the intelligent building robot functional structure design parameter set to obtain a functional structure design parameter subset of each functional structure submodule; Step S24: performing three-dimensional modeling processing on each intelligent building robot functional structure submodule based on the functional structure design parameter subset of each functional structure submodule to obtain a functional structure three-dimensional parameter abstract model of each functional structure submodule; Step S25: assemble and optimize the functional structure three-dimensional parameter abstract model of each functional structure submodule according to the functional component dependency relationship and functional component connection constraint conditions between each intelligent building robot functional structure submodule to generate a robot functional structure three-dimensional parameterized model.

3. The three-dimensional parametric design method for an intelligent building robot according to claim 1, characterized in that: Step S4 includes the following steps: Step S41: Based on the kinematic characteristic simulation evaluation data of the intelligent building robot in different working scenarios, the kinematic characteristic optimization target analysis is performed on the three-dimensional parameterized model of the robot's functional structure to obtain the kinematic characteristic parameter optimization target of the robot's three-dimensional model; Step S42: performing structural characteristic optimization target analysis on the three-dimensional parameterized model of the robot's functional structure based on the structural characteristic simulation evaluation data of the intelligent building robot in different working scenarios, and obtaining the optimization target of the structural characteristic parameters of the three-dimensional model of the robot; Step S43: Parameter optimization design is performed on the robot functional structure three-dimensional parametric model according to the robot three-dimensional model kinematic characteristic parameter optimization target and the robot three-dimensional model structural characteristic parameter optimization target to generate a robot functional structure three-dimensional parameter optimization design model.

4. A three-dimensional parametric design system for an intelligent building robot, characterized in that: For executing the three-dimensional parametric design method for an intelligent building robot as claimed in claim 1, the three-dimensional parametric design system for an intelligent building robot comprises: The robot functional structure parametric design module is used to analyze the functional requirements and working environment functional structure of the intelligent building robot to obtain the functional requirement data of the intelligent building robot and the functional structure information data of the working environment of the intelligent building robot; based on the functional requirement data of the intelligent building robot and the functional structure information data of the working environment of the intelligent building robot, the functional structure parametric design of the intelligent building robot is performed to generate the functional structure design parameter set of the intelligent building robot; A robot functional structure three-dimensional modeling and design module is used to perform a three-dimensional modeling and design of the functional structure of the intelligent building robot based on the functional requirement data of the intelligent building robot and the functional structure design parameter set of the intelligent building robot, so as to generate a three-dimensional parametric model of the robot functional structure; The three-dimensional parametric model multi-dimensional simulation evaluation module is used to perform multi-dimensional simulation evaluation and analysis on the three-dimensional parametric model of the robot's functional structure, thereby obtaining the kinematic characteristics simulation evaluation data and structural characteristics simulation evaluation data of the intelligent building robot in different working scenarios; The three-dimensional model parameter optimization design module is used to perform parameter optimization design on the three-dimensional parametric model of the robot's functional structure based on the kinematic characteristics simulation evaluation data and structural characteristics simulation evaluation data of the intelligent building robot in different working scenarios, so as to generate a three-dimensional parameter optimization design model of the robot's functional structure.

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