Pipeline mixed oil monitoring system based on terahertz frustrated total internal reflection

Abstract

The invention discloses a pipeline mixed oil monitoring system based on terahertz frustrated total internal reflection, relating to the field of pipeline detection. The system comprises an emitter anda receiver, wherein the emitter and the receiver are placed in an insulating layer and are in direct contact with a terahertz frustrated total internal reflection prism sensor and only allow terahertz waves to penetrate through a terahertz window; the terahertz waves emitted by the emitter pass through the terahertz window, are reflected to a left-side incident plane of the total internal reflection prism sensor and are refracted and reflected, and the refracted waves enter the sensor; the terahertz waves are transmitted in the sensor so as to generate a frustrated total internal reflection phenomenon on the surface, in contact with an oil product, of the sensor; the terahertz waves emergent from a right-side emergent plane of the total internal reflection prism sensor carry feature information of the passing oil product; and the emergent terahertz waves pass through the terahertz window again and are received by the receiver, generated electric signals are acquired by a terahertz instrument through a cable, and then a terahertz frustrated total internal reflection spectrum of the oil product is obtained.

Description

technical field [0001] The invention relates to the field of pipeline detection, in particular to a pipeline oil-contaminated monitoring system based on terahertz frustrated total internal reflection. Background technique [0002] With the continuous improvement of my country's economic aggregate and economic strength, my country's demand for oil resources has steadily increased. GDP annual growth of 7% to 8% annual oil demand will increase by 4% to 5%. At present, my country is the world's largest crude oil importer and the second largest oil consumer. It is estimated that by 2020, my country's oil consumption demand will reach more than 600 million tons. At the same time, domestic oil production capacity is limited, and the gap between supply and demand is increasing. In 2017, my country's dependence on foreign oil resources rose to 65.4%. Under this situation of resources, it is of great economic and strategic significance to reduce various accidents and losses during t...

AI Technical Summary

Problems solved by technology

[0007] 1. The density measurement method is the main method implemented in actual production to track and detect oil products in pipelines. However, it is difficult to distinguish oil products with similar densities, and the detection resolution is low.

[0008] 2. The optical measurement method uses infrared and other common optical bands to measure the transparency and refractive index of oil products. It has high sensitivity, but it is easily affected by oil impurities. It is very unsuitable for the actual situation of low quality domestic oil products. There are problems in domestic actual use. Many, poor stability, difficult maintenance

[0009] 3. Ultrasonic measurement is used to detect the propagation speed of ultrasonic waves in oil products, which is easily affected by ultrasonic noise, and the detection accuracy is not high

[0011] 5. Capacitance detection method is used to measure the dielectric constant of oil products, the measurement accuracy is low, and live devices are installed in oil pipelines, which is poor in safety

[0012] 6. Spectrochromatographic detection method measures oil absorption spectrum and chromatographic fingerprint, which has high precision, but the pretreatment is complicated and the measurement time is long, so it cannot realize online monitoring

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