By introducing KingSCADA as the core system,the photovoltaic factory has successfully deployed 13000 data collection points to monitor the energy consumption of the workshop in real time,and constructed an energy demand prediction model to achieve intelligent energy scheduling.This system not only improves the efficiency of data collection and storage,but also optimizes energy utilization,reduces production costs and energy consumption.The openness and standardized protocol support of KingSCADA enable third-party software to easily achieve data exchange,providing support for the digital transformation of factories.After implementation,the digital energy management system has performed well in key indicators and improved the economic efficiency of the factory.However,attention still needs to be paid to system updates,interface design,and user feedback to further optimize system performance.This study provides useful references for the digital transformation and energy management of photovoltaic factories.
维普
万方数据
