A thermometer calibration control method for oil pipelines in the petroleum industry

Abstract

The invention relates to a thermometer calibration control method for oil transmission pipelines in the petroleum industry. Theoretical digital quantity is calculated according to the real digital quantity collected by a single-chip microcomputer ADC, the mapping relation between the theoretical digital quantity and the sensor temperature value is established according the calculated theoretical digital quantity, and the temperature value of a sensor is obtained. According to the invention, influence of temperature change of an instrument card on an output result collected by the ADC is reduced, the obtained temperature value of the sensor can reach the precision requirement of five thousandth or higher, the difficulty of a software algorithm is reduced, and energy consumption of equipment is reduced.

Description

technical field [0001] The invention relates to the field of thermometer calibration in digital oil fields, in particular to a thermometer calibration control method for oil pipelines in the petroleum industry. Background technique [0002] Temperature is the most commonly used physical quantity to be measured in industrial sites, and thermometers are widely used in industrial occasions where temperature measurement is required. It can automatically collect the temperature data of the oil body inside the oil pipeline in the oil industry, and monitor in real time independently or in conjunction with RTU equipment in the oil field oil temperature. The generation of temperature data comes from the acquisition and calibration algorithm of temperature sensor signal. [0003] The acquisition of the temperature sensor signal is through the internal ADC of the single chip microcomputer to collect the sensor voltage signal. [0004] The temperature calibration algorithm is roughly ...

AI Technical Summary

Problems solved by technology

For single-chip software calculation, the algorithm and logic control are quite complicated, which wastes processor resources and affects the real-time performance of temperature value output, but the final temperature value is more accurate.

The other is to directly idealize the output characteristic curve of the temperature sensor into a first-order equation, and directly calculate the corresponding relationship between the resistance value output by the temperature sensor and the temperature of the object to be measured. The temperature value calculated by this method has low accuracy and is inconsistent with the real There is a large error compared with the temperature value of

Therefore, R&D personnel are required to do a lot of post-calculation work, which increases the maintenance workload and brings inconvenience to the current application.

[0005] At present, most thermometers are powered by batteries. Once they stop working, it will affect the temperature monitoring of the oil delivery pipeline, and it is inconvenient to replace the battery of the thermometer. Therefore, there is a high requirement for the power consumption of the thermometer.

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