On March 6, the First Energy and Power Industry Data Element Development Ecosystem Conference was convened in Zhuhai City, themed “Data-empowered Energy, Electricity-oriented Ecosystem, Intelligence-driven Future”. Among numerous cases, the Intelligent Power Data Analysis Application Based on Large Models – CHN Energy Data Inquiry submitted by the Information Technology Company stood out and was awarded the honor of “First Batch of Typical Cases for Data Sharing Empowerment and Innovation & Efficiency Improvement in the Energy and Power Industry”.
This award aims to recognize outstanding cases in the energy and power industry having made notable progress in data sharing, innovative applications, and value creation, thereby establishing industry benchmarks and promoting digital transformation and high-quality development for the industry.
The Company’s data team has been delving into data value, and the Intelligent Power Data Analysis Application Based on Large Models – CHN Energy Data Inquiry serves as a practical reference for data sharing empowerment and innovation & efficiency improvement in the energy and power industry. By employing the popular intelligent assistant as the user interface, inquiries are sent to a large model for literal language understanding before utilizing NL2SQL, intelligent graph/chart judgment, and matching to return the analysis results to users in a summarized graphical format, allowing non-professional users to easily query data in common language without mastering database programming languages. The case effectively addresses traditional challenges in data analysis, including lengthy data retrieval development cycles, ambiguity in indicators, lack of data delving capabilities, and heavy reliance on personal experience for data analysis, thus achieving big data analysis driven by large models, and simplifying tasks including data analysis, business data exploration, and report generation.
In the future, the data team at the Information Technology Company will continue to explore more data application and data value, making great contribution to digital transformation and high-quality development of the energy and power industry.
