The life payment system developed by our team is based on a modular solution, focusing on providing users with convenient daily payment and service experience. Our goal is to make everyone enjoy convenient services and promote household energy conservation. Through our system, users can easily pay for heating and other living expenses online, while helping traditional utilities to achieve Internet transformation and improve their operational efficiency and competitiveness.
The system has rich marketing functions, such as reducing payment, randomly reducing payment, returning payment to red envelope, etc., To attract users to pay online. The main function modules include expense query, code query, expense payment and clearing reconciliation. The system is simple in design, convenient in operation and stable in operation, which is very suitable for promotion and application in the market.
We use a small, low resource consumption C technology stack to build a RESTful application service platform. The system adopts multi process and reuse mode to realize low resource consumption and provide higher capacity application services in hardware configuration. At the same time, give full play to the advantages of multi-core environment to effectively resist the impact of slow TCP. In order to ensure the interoperability of the system, we use middleware to connect with distributed access points. Each distributed access point shares the provided WebService to realize data interaction with various heating management systems or data sharing platforms. We conduct access and analysis in strict accordance with WebService protocol standards to ensure that the system can be compatible with various standard data formats. In addition, our system does not need additional auxiliary middleware when docking with the cloud computing platform, which improves the overall efficiency and convenience.
In order to ensure the transmission security of user data, we use a special encryption algorithm to encrypt the data.
The system has good scalability. With the increase of heating enterprises, capacity expansion can be achieved by simply modifying the system configuration file. At the same time, our system adopts a high concurrency architecture. A single enterprise can carry 20000 to 30000 concurrent requests per second, and can handle large-scale concurrent requests to ensure that users can still enjoy stable service responses under high loads.