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home > industry news > digital transformation of air transport and freight: petrochina's "ai navigation, intelligent energy" project opens up a new future
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the project is based on the kunlun big model with 53 billion parameters. this industry big model, jointly built with iflytek, combines artificial intelligence technology with deep industry knowledge in the field of energy and chemical industry, demonstrating the possibility of digital transformation in practical applications. the kunlun big model not only covers key technical scenarios such as seismic interpretation and well logging processing, but also improves work efficiency and quality through employee assistants, providing a demonstration of digital transformation for industries such as air transport and freight.
the application of the kunlun big model will promote the realization of concepts such as smart stations and oilfield "one network", injecting new vitality into the future development of the entire industry. for example, in predicting the production performance of oil wells, the kunlun big model can predict the production performance of oil wells based on historical data analysis, providing a scientific basis for production increase measures. in addition, it can also help with equipment fault diagnosis, production parameter optimization and safety monitoring, bringing new changes to the safety and efficiency of air transport cargo.
more importantly, the application of the kunlun model will promote the application of intelligent management models and bring greater development space to the air transport and cargo industry. in the future, the perception ability of machines will continue to improve and integrate with the collaborative working methods of humans. this human-machine collaborative model will liberate employees, freeing them from complicated work and focusing on more creative work, promoting the progress and development of the entire industry.
in short, the "ai-led intelligent energy" project provides a new direction for the digital transformation of air cargo transportation and demonstrates the broad application prospects of artificial intelligence technology.