<p>In the process of heavy oil thermal recovery, the steam injection boiler is one of the most energy-intensive key pieces of equipment. Its operational status directly affects steam quality and injection efficiency. Traditional management methods often rely on manual experience and judgment, which leads to high energy consumption and insufficient steam utilization. To address this problem, this study established an intelligent monitoring system for the operational status of heavy oil steam injection boilers, and developed an energy consumption optimization model. A case study was conducted to verify the advancement of the proposed monitoring and optimization system. The results show that the system can achieve second-level monitoring, accurate evaluation, and efficient early warning. In terms of energy optimization, the unit steam fuel consumption was reduced by about 8–12%, while boiler efficiency improved by 5–7 percentage points. The stability of steam quality and environmental benefits were significantly enhanced. Further economic evaluation indicates annual savings of several million yuan in fuel costs, as well as additional production benefits of tens of millions of yuan, while reducing CO₂ emissions by 20000–30000 tons. The conclusion confirms that the intelligent monitoring and optimization system for heavy oil steam injection boilers has important significance in promoting energy conservation, emission reduction, and green development in the oil and gas industry.</p>