The research discusses how an information sharing network is built through construction project management in the age of big data and focuses on power coordination and dynamic adjustment in the process of implementing projects. Through combining multi-source data that include project schedule records, temporary electricity consumption records, electrical installation progress records, equipment operation status records, material circulation records, personnel allocation records, and safety inspection logs, a platform architecture consisting of a data access layer, edge preprocessing layer, cloud sharing center, and collaborative decision layer is developed. Based on this, the platform ensures standardised coding, real-time synchronisation, shared permission, inter-departmental cooperation, and prompt alerts of unusual power-related situations, which enhances the effectiveness of temporary electricity distribution, electrical equipment assignment, and construction power load changes. Experimental application outcomes indicate that the platform has a data synchronization precision of 96.3 percent, an average response time of 0.84 seconds, and a data integrity of 99.1 percent. The paper has demonstrated that the proposed platform can be very useful in addressing information fragmentation when managing construction projects, improving the timeliness of cross-participant collaboration and increasing the ability to make decisions based on digitalized information when managing construction projects related to power.
Povzetek: The proposed study offers a large-scale solution to information exchange in construction project management with coordination and adjustment of the construction processes related to energy use. The platform supports real-time information delivery, permission-based sharing, and fast reaction to power adjustment tasks through multi-source data integration, edge preprocessing, cloud sharing, and collaborative analysis. The experimental findings show high synchronization accuracy, low response time, and strong integrity of data which means that the platform can be used effectively in enhancing collaborative management and online decision-making within the construction process.
