基于光照自适应的空气源热泵图像识别测霜技术研究
Research on image recognition frost measurement technology for air-source heat pumps based on light adaptation
摘要：
图像识别技术的发展为空气源热泵换热器测霜提供了一种新的技术途径，然而室外光照环境的变化会影响图像识别测霜的准确性。提出面源补偿光照的方法，选择基准照度面源，以结霜阈值修正系数补偿光照环境影响，开发了基于光照自适应的空气源热泵图像识别测霜技术，并在某实际工程中进行了应用和测试。结果表明，在不同光照环境测试工况下，机组除霜时机基本相同，COP衰减率均为18%，风压差增量在5.45~5.68 Pa范围内波动，解决了室外光照环境变化对图像识别的干扰，为图像识别测霜技术在空气源热泵除霜控制中的应用提供了可行的技术方案。
Abstract：
The development of image recognition technology provides a new technical way for air-source heat pump heat exchanger frost measurement, but changes in the outdoor lighting environment will affect the accuracy of image recognition frost measurement. The method of compensating light by non-point source is proposed, the reference illuminance surface source is selected, the frost threshold correction coefficient is used to compensate for the lighting environmental impact, and the image recognition frost measurement technology for air-source heat pump based on light adaptation is developed and applied to a practical project. The results show that under the test conditions of different lighting environments, the defrosting timing of the unit is basically the same, the COP attenuation rate is 18%, and the increase in wind pressure difference fluctuates in the range of 5.45 to 5.68 Pa, which solves the interference of outdoor lighting environment changes on image recognition, and provides a feasible technical solution for the application of image recognition frost measurement technology in the defrost control of air-source heat pump.
Keywords:air-source heat pump; frost measurement technology; image recognition; light adaptation; non-point source compensation; test condition