基于储罐表面温度反演液位是一种全新的液位识别方法，其识别精度高，应用范围广。建立了储罐的物理模型，利用有限体积法求得筒体的表面温度场，并反演了筒体内的液位和温度。为了验证识别精度，设计了压力容器对比实验。实验表明，在实际允许的测量误差内(σ=2 °C)，模拟识别误差小于1%，实验识别的液位误差在2%左右，利用反演算法能识别筒体内的液体温度，精度也比较高。实验结果验证了该识别方法的有效性，为红外液位检测和温度识别提供了理论和实验依据。

The inverse of liquid-level based on the surface temperature of a tank is a new liquid-level recognition method with high identification accuracy and wide application range. A physical model for a storage tank is established. The surface temperature field of the tank is derived by a finite volume method and the liquid-level and temperature inside the tank are inverted. In order to verify the recognition accuracy, an experiment for pressure vessel comparison is designed. The experimental results show that the simulation recognition error is less than 1% in the range of acceptable measurement error (σ=2°C) and the experimental recognition level error is about 2%. The liquid temperature inside the cylinder can be recognized by the inversion algorithm and the recognition precision is higher. The experimental result shows that this recognition method is effective and can provide the theoretical and experimental basis for infrared liquid-level detection and temperature recognition.