Pipeline monitoring and early warning method based on correlation analysis
A correlation analysis and pipeline technology, applied in the direction of measuring devices, instruments, etc., can solve the problems of unreliable monitoring values, unavoidable sensor performance, large differences, etc.
Inactive Publication Date: 2019-08-02
HEFEI GENERAL MACHINERY RES INST +1
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Problems solved by technology
This method has limitations in the long-term monitoring of complex pipeline systems: 1) complex pipeline systems are difficult to describe with analytical models, and the monitoring thresholds obtained are quite different from the actual situation; 2) sensor performance will inevitably deteriorate under long-term conditions, The monitoring value is unreliable and cannot reflect the strain state of the pipeline
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[0059] Below in conjunction with embodiment technical solution of the present invention is made more specific description:
[0060] A pipeline monitoring and early warning method based on correlation analysis, comprising the following steps:
[0061] Step 1, monitor the pipeline through the sensor unit to obtain the pipeline strain data, and the layout of the sensor unit is divided into the following types according to the pipeline type:
[0062] Type 1, for straight pipe: such as figure 1 , 2 As shown, the straight pipe is provided with a plurality of sensors at intervals in the same circumferential direction to form a sensor group, and the sensor group is arranged in a plurality along the length direction of the straight pipe, and the circumferential angle between two adjacent sensors in the sensor group 30 degrees or 45 degrees, the distance between two adjacent sensor groups is 3D-4D, where D is the outer diameter of the straight pipe;
[0063] Type 2, for elbows: such ...
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Abstract
The invention relates to a pipeline monitoring and early warning method based on correlation analysis. The method comprises the following steps: step 1, monitoring a pipeline by a sensor unit to obtain pipeline strain data; step 2, acquiring pipeline strain data in an initial time window, and solving data correlation features and expectation E and variance sigma <2> of a correlation feature distribution function through the pipeline strain data in the initial time window; step 3, calculating support degree and validity of a monitoring value K-approach, thereby judging sensor reliability and pipeline damage situations. The method provided by the invention has no need of building a system parsing model, can correlatively analyze and extract feature information through the monitored pipelinestrain data, and can realize monitoring and early warning for pipeline strain states and evaluation on reliability of the sensor.
Description
technical field [0001] The invention belongs to the technical field of process industry safe operation assurance, and in particular relates to a pipeline monitoring and early warning method based on correlation analysis. Background technique [0002] Pressure pipeline is an important part of the process industry, and its safe operation level directly determines the safe operation level of petrochemical enterprises. With the expansion of the scale of petrochemical enterprises, the limitations of conventional detection methods are becoming more and more obvious. For example, the daily consumption of manpower is too much, special locations are dangerous, and there are easy detection dead ends. The safety evaluation of equipment can only be based on the test data in the shutdown state, which cannot reflect the real situation in the service state, and the real-time detection of the structural state of the equipment in service cannot be carried out. The safety of the two inspectio...
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CPCG01B21/32
Inventor 陈学东乔松王冰朱建新薛吉林吕宝林方向荣亢海洲庄力健周煜
Owner HEFEI GENERAL MACHINERY RES INST