Abnormal detection method of dew point data

A detection method and data anomaly technology, applied in instruments, character and pattern recognition, calculation, etc., can solve the problems of high cost, low efficiency, manual to local measurement, etc., and achieve the effect of improving safety and reducing manpower

Inactive Publication Date: 2018-07-20
福建双环能源科技股份有限公司
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AI Technical Summary

Problems solved by technology

However, whether it is online or portable measurement, obtaining dew point parameters requires manual to local measurement
Inefficient and costly

Method used

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  • Abnormal detection method of dew point data
  • Abnormal detection method of dew point data
  • Abnormal detection method of dew point data

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Embodiment Construction

[0054] Such as figure 1 As shown, a dew point data anomaly detection method of the present invention is implemented on the following hardware carriers: a high-quality dew point sensor, a sensor network, and a control terminal. Deploy the dew point sensor in the pipeline, collect the dew point value and feed it back to the control terminal for abnormal data detection.

[0055] Such as figure 2 As shown, a dew point data anomaly detection method is characterized in that it includes multiple dew point sensors, a sensor network and a service terminal. The dew point sensor is deployed in the pipeline, and the real-time dew point data is collected and fed back to the service terminal via the sensor network for Abnormal data detection, including the following steps:

[0056] Step 1. Through the dew point sensor deployed in the pipeline, the real-time dew point data in the pipeline is collected in real time, and sent to the service terminal by the sensor network;

[0057] Step 2, ...

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Abstract

The invention discloses an abnormal detection method of dew point data. The abnormal detection of dew point data is realized mainly through using a machine learning method, the time sequence data areprocessed through a sliding window model, and an abnormal identification model and an abnormal source judgment model are constructed. The abnormal data are found according to an abnormal recognition model, the abnormal source judgment model is used for judging the reasons of the abnormal data, and abnormal messages are pushed in time. According to the abnormal detection method of the dew point data, the safety of pipeline transportation is greatly improved, and the consumption of manpower and material resources is reduced.

Description

technical field [0001] The invention relates to a dew point data abnormal detection method, which is suitable for real-time abnormal monitoring of sensor network data. Background technique [0002] my country's oil industry and natural gas industry are in a vigorous development stage, and the safety of their transportation has also attracted much attention. Currently, pipeline transportation of natural gas is the most economical and efficient transportation method. However, natural gas will be mixed with a certain amount of water vapor in the process of collection and transportation. When the water content of natural gas transported by pipeline exceeds a certain value, it may cause the following hazards: [0003] (1) In natural gas pipeline transportation, if the water content is high, liquid water may accumulate in the pipeline. Under certain temperature and pressure conditions, liquid water and hydrocarbons and other substances will form hydrates together, increasing the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): F17D5/00G06K9/62
CPCF17D5/005G06F18/214
Inventor 陈明华彭能松张维纬张育钊方国栋陈良灼袁科
Owner 福建双环能源科技股份有限公司
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