In the wave of digital transformation, smart management has become a key driver for enterprises to improve operational efficiency and optimize resource allocation. China National Petroleum Corporation (CNPC) is embracing technological change in partnership with Wanshuo Technology to explore new pathways for vehicle traffic statistics and smart management. Together, they have developed efficient and precise vehicle traffic statistics solutions tailored for CNPC's branches across multiple regions.
Smart Integration, Precise Market Insights
With increasingly complex market conditions and growing vehicle management needs, accurately tracking vehicle flow at each site and along routes is critical for optimizing resource allocation, enhancing service quality, and ensuring operational safety. Our solution leverages big data analytics, AI algorithms, and IoT technology to deliver comprehensive, multi-dimensional traffic volume insights.
Empowering Traffic Management with Technology: Reshaping the Ecosystem
Integrates high-definition video surveillance, intelligent recognition algorithms, and cloud computing platforms to provide 24-hour continuous monitoring and precise counting of vehicles entering and exiting gas stations, oil depots, and logistics hubs. Using AI image recognition, the system automatically identifies license plate numbers, vehicle types, and entry/exit times. Leveraging big data analytics, it uncovers traffic flow trends and delivers customized analytical reports.
Boost efficiency, enable smart upgrades
Since implementation, the solution has delivered significant results across multiple branch offices: it enables precise data-driven allocation of human and material resources to reduce idle time and boost customer satisfaction; effectively monitors abnormal traffic patterns to detect and address potential security risks promptly; and provides robust decision support for marketing and supply chain management based on data analytics.
Looking ahead, let's build a smarter energy future together.
We will continue to iterate and enhance our traffic volume statistics solution, exploring more intelligent use cases—such as leveraging IoT for automated vehicle refueling and using AI-driven predictions to optimize inventory management—to support digital transformation in the energy sector.
