Method for measuring content of water in oil product based on deep learning and measuring instrument
A deep learning and water content technology, applied in measurement devices, scientific instruments, instruments, etc., can solve problems such as deterioration of low temperature flow performance, oil supply interruption, short circuit, etc., and has strong ability to achieve nonlinear problems, problem solving efficiency, Good transfer characteristics
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[0044] Embodiment one: a kind of method for measuring the water content of the oil product to be tested comprises the following steps:
[0045] Put the oil to be tested in a container.
[0046] The sensing light source emits light waves, passes through the sensing optical fiber, and irradiates the oil to be tested through the optical fiber probe.
[0047] The middle molecules or particles in the oil to be tested have an infrared absorption effect on the light wave, and the infrared absorbed light is reflected and returned to the optical fiber sensitive structure through the optical fiber probe;
[0048] The infrared absorption light is incident on the infrared spectrum acquisition module, and converted into electrical signals after being split.
[0049] The obtained electrical signal contains information about the intensity of infrared light absorption, and is analyzed by the deep learning model in the signal processing module to obtain the concentration of oil in the two-pha...
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