Application Solution for Nanjing Metro Energy Management System

Recently, a certain subway line in Nanjing is undergoing final testing, with 35kV rectification/energy feedback and 400V dynamic lighting. All stations, sections, and depots along the line have been installed, and data has been uploaded to the cloud platform. At present, all components of the energy management system involved by Sfier Electric have been deployed.

System highlights

The overall architecture of the energy management system participated by SF Electric follows the overall idea of "cloud, management, edge, and end". Based on the cloud platform, it constructs an urban rail transit energy efficiency data analysis system with "comprehensive perception, intelligent IoT, and data exchange". Through intelligent gateway and terminal equipment cloud access, it achieves real-time collection and comprehensive analysis of energy consumption data, accurately grasping the actual situation of energy consumption on the line.

Key technology 

Cloud container technology

• Extremely lightweight, only packed with necessary bin/lib

• Deploy in seconds, and depending on the image, the container deployment time is approximately between milliseconds and seconds (much stronger than virtual machines)

• Easy to transplant, built in one go, deployed anywhere

• Elastic scalability, Kubernetes container management platform has very powerful elastic management capabilities

Microservice architecture

• Rapid launch, due to the autonomy and independence of business components, new functions and applications can be quickly released and launched without worrying about the widespread impact and impact on other system functions

• Fully utilize hardware resources

• L supports independent scaling and recovery, specifically scaling certain services in applications to solve performance bottlenecks, and can independently replace or restore a component in microservices

• The microservices architecture has unparalleled advantages in application development efficiency, stability, and scalability, and is the standard architecture for cloud based applications

Continuous deployment

Reducing the scope of changes, compared to traditional waterfall development models, adopting agile or iterative development means more frequent releases and fewer changes per release. Due to frequent deployment, each deployment will not have a significant impact on the production system, and the application will gradually grow at a smooth rate

Automation, a powerful means of deployment automation, ensures the repeatability of deployment tasks and reduces the likelihood of deployment errors

In the process of software development, testing, deployment, and operation, it has improved development efficiency, reduced communication costs, and improved deployment and online speed

System overhead

Compared to creating virtual machine instances, it has faster speed, lower performance and space consumption overhead, and reduces hardware resource investment costs.

Deployment efficiency

Traditional virtual machine deployment takes minutes and containers take seconds, greatly improving deployment efficiency.

Portability

Containers can run on almost any platform, including physical machines, virtual machines, public clouds, private clouds, personal computers, etc. They can be directly migrated from one platform to another, which traditional virtual machines cannot do.

Standardization

Most containers are based on open standards and can run on all major Linux platforms with good compatibility.

flexibility

Each microservice can be independently deployed without the need to coordinate the impact of other services on this service. Traditional architecture deployment requires a large application server to support it. The flexibility of microservice architecture enables the continuous deployment of the system, improving its responsiveness to subsequent functional expansion.

Coupling

Each microservice only focuses on a specific business function, with clear logic and minimal code, making development and maintenance easier. The system is built from several microservices and is maintained in a controllable state. The traditional single application architecture often leads to a situation of "pulling the whole body together", which is not conducive to development and maintenance.

Partial system display

Budget execution analysis

Analysis and display of energy efficiency indicators

Through the massive data collection and professional software analysis of the energy management system, SF Electric aims to improve the energy management and equipment operation and maintenance level for Nanjing Metro rail transit owners, achieve energy conservation, emission reduction, cost reduction and efficiency increase, effectively promote the construction of intelligent transportation projects, and build an infrastructure system that adapts to the development of intelligent economy and intelligent society.