Research And Implementation Of Spatial Node Network Topology Matching Algorithm For New Intelligent Building Platform

In recent years,with the rapid development of emerging technologies such as the Internet of Things,virtual reality,and artificial intelligence,cloud computing and big data infrastructure have been continuously improved,and the building intelligentization industry has developed rapidly,and building automation systems have also developed.However,the intelligent effect of the system in actual operation is not ideal,and there are problems such as excessive management information,difficulty in system configuration,and difficulty in realizing cross-system functions.The reason is that the centralized tiered system architecture of the building automation system hinders its own development.To break through the traditional structure of imprisonment,domestic related scholars have carried out corresponding research.Based on the innovative concept of the new architecture of intelligent building system,a solution based on flat and decentralized building control management is proposed,and a new intelligent building platform is proposed.The platform divides the whole building into multiple building space units,each of which corresponds to a “smart node”,which is also called CPN(Computing Process Node).Therefore,in the process of platform construction,the "topology design" and "topology verification" problems of CPN network are the key issues that need to be solved to construct a new intelligent building platform.The research results in this paper provide an effective theoretical basis and technical support for solving two key problems.The specific work is as follows:Firstly,in order to solve the "topology design" problem in the design stage of CPN network topology,this paper designs a scheme based on the topological relationship extraction of CPN network in building floor plan space.The scheme analyzes and preprocesses the primitive information of various components in the building plan to realize the topological relationship extraction of the CPN network in the floor plan space.At the same time,the suitable AutoCAD secondary development tools are selected to complete the development of spatial CPN network topology relationship extraction software on Visual Studio2010 platform.The software not only reduces the workload in the platform design phase,but also provides matching conditions for the spatial CPN network topology matching process.Secondly,in order to solve the problem of “topology verification” in the installation and debugging phase of CPN,this paper proposes a new topology optimization algorithm for space CPN network based on VF2 optimization.The algorithm not only uses the pruning strategy based on the matched points,but also adds non-recursive ideas,node degree optimization matching order and neighbor information filtering strategy.The algorithm is proved to be better than VF2 algorithm by the two indexes of average matching time and calling verification function.It shows that the topology matching algorithm is more efficient.Finally,based on the new intelligent building platform space CPN network topology matching algorithm,the topology matching software is designed and developed on the MyEclipse platform through the Twaver program framework.The software can be used together with the spatial CPN network topology extraction software to match the spatial CPN network topology generated by the software to the matching conditions to match the actual spatial CPN network topology in the new intelligent building platform.The construction personnel conducts wiring troubleshooting based on the algorithm matching results,and achieves the purpose of correcting the topology of the CPN network in the new intelligent building platform space.