Design Decision Support System for Big Data Analysis in EPC Projects

This study focuses on the testing and validation process of a design decision support system for EPC (Engineering, Procurement, and Construction) projects. A distributed cluster simulating a production environment was constructed to comprehensively test the system's functionality and performance. The functionality tests covered four core modules: data collection, storage, analysis, and decision support. The results indicated that each module's performance exceeded the expected targets. Performance tests simulated different scenarios with concurrent users, verifying the system's scalability and stability. The results showed that the system responded quickly under standard load and remained stable under extreme load. Optimization techniques significantly improved the system's performance in handling complex analytical tasks. User experience tests also received positive feedback from professional designers. Overall, the test results confirmed that the system can effectively support the design decision-making process in large-scale EPC projects, providing reliable assurance for improving design quality and efficiency. This study offers crucial technical support and empirical evidence for the system's actual deployment and application.