Design And Implementation Of A Cloud Platform For Construction Robot Tasks Based On Container Technology

With the development of network information technology,cloud computing has been integrated into all aspects of our lives,and at the same time,the construction industry is paying more and more attention to the introduction and combination of modern information technology.The development and deployment of modern construction robotics-related projects still suffer from low development collaboration efficiency and slow deployment speed.Therefore,given the orientation of information technology development and the need for efficient task development and deployment,it is necessary to integrate the construction robot task development and deployment module with cloud computing technology.However,traditional cloud computing has problems such as long deployment cycles and low development efficiency,which are difficult to meet current business needs.To solve this problem,we propose the idea of combining lightweight container technology with construction robot task modules to ensure efficient task development and deployment,starting from actual applications,building a task cloud platform for construction robots to realize the automated construction of development environment,automated deployment of task modules,data monitoring and sharing,etc.While ensuring the efficient and collaborative development of task modules of construction robots,it can be quickly deployed to the client for customers to browse and watch.This article mainly implements the development of a cloud platform system for construction robot tasks based on container technology.The specific tasks are as follows:(1)Firstly,based on the background of the traditional construction robot task development and deployment mode,conduct demand analysis and development process design for the construction robot task cloud platform,secondly,we complete the functional analysis of the cloud platform according to the basic requirements,and finally realize the construction of the overall architecture of the cloud platform and the development of the construction robot task module.(2)In order to improve the efficiency of task development and deployment,we design and implement the construction robot task cloud platform system integrating Kubernetes.The cloud platform supports data monitoring and data sharing,automatic scaling of task containers,automated construction of development environment and automated deployment of tasks,etc.Among them,the development environment automation construction and task automation deployment modules realize the integration of construction robot task module development,deployment and demonstration,which simplifies the development and deployment process and makes the efficiency of task management significantly improved.(3)In order to ensure the efficiency of construction operation and maintenance of construction robots and lay a foundation for the subsequent verification of the stability and practicability of the cloud platform system,a task module based on BIM+GIS is designed and developed.The BIM 3D model and GIS construction geographic environment model are established by using Revit and Context Capture software,and the GIS model is refined by using DP Modeler and Photoshop linkage,material conversion and model fusion of the model by 3Ds MAX software,and imported into Unity 3D platform.Based on the imported construction robot construction site model,namely the BIM+GIS model,Unity 3D is used in combination with Oculus Quest2 VR device to realize Unity 3D platform roaming and virtual reality roaming,and UGUI technology is applied to realize the interactive operation of virtual roaming,at the same time,the navigation grid map is applied to the A~*pathfinding algorithm to plan the construction route instead of the traditional grid map to ensure the efficiency of construction robot construction.(4)Finally combine the task module to complete the testing of each functional module of the cloud platform.The results show that the cloud platform designed in this paper can meet the basic requirements of task development and deployment while ensuring stable operation.