Design And Implementation Of The Backend Module For The Smart-Pipe Gallery

Under the guidance of the grand strategy of smart city construction,as an important part of the smart city,the development and construction of the smart pipe gallery has become an important focus of today's infrastructure construction.Based on the existing back-end system of the smart pipe gallery cloud platform,this thesis proposes a system optimization scheme for the back-end module of the smart pipe gallery.This solution optimizes and reconstructs the calls between the back-end systems and the security architecture,which improves the overall performance of the system.At the same time,the hot functions of the back-end modules of the smart pipe gallery,including the inspection plan,approval module,and anomaly detection module,have been optimized to enable it to better adapt to the current business growth.The main work of this thesis is as follows:1.Aiming at the problem of multiple business functions and frequent service calls of the smart pipe gallery cloud platform,a solution for the call architecture optimization of the smart pipe gallery back-end system is proposed.The solution is based on the Dubbo framework to register and integrate each service,realize the unified management of each service module,and facilitate the configuration of load balancing and the use of multiple protocols.At the same time,the RPC call provided by the Dubbo framework is used to replace the original HTTP call,which improves the operating efficiency and stability of the system.2.On the basis of the optimization of the calling framework,a reconstruction scheme of the security architecture of the smart pipe gallery cloud platform is proposed.The plan achieves the goal of lightening the overall system by splitting the security framework of the service.At the same time,the Dubbo framework's service governance capabilities are used to achieve token verification,and based on Dubbo's token mechanism,fine-grained authentication of services is realized.3.Based on Activti,the patrol plan and approval module has realized the abstract function of the business.The Activti framework is used to realize the business process of inspection plan and inspection approval,and support customer business customization,thereby avoiding the problem of post-maintenance labor cost increase caused by business code customization.4.The data types in the smart pipe gallery are complex and have the characteristics of non-linear relationships.The existing R-PCA algorithm in the anomaly detection module cannot effectively deal with the problem of nonlinear data,while the conventional K-PCA algorithm has high complexity.Based on the R-KPCA algorithm,this thesis proposes an improved method of anomaly detection for smart pipe corridors,and realizes the optimization of the anomaly detection module based on this.Theoretical analysis and experimental results based on real data in the smart pipe gallery show that compared with the existing R-PCA algorithm,this method has higher anomaly detection accuracy for non-linear data;compared with the conventional K-PCA algorithm,it has higher Operating efficiency.