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A monitoring method of flow control valve based on dcs data

A flow control valve and data technology, applied in valve devices, mechanical equipment, engine components, etc., can solve problems such as process difficulties and high costs, and achieve the goal of ensuring monitoring effects, reducing monitoring costs, and increasing human-computer interaction and learning capabilities. Effect

Active Publication Date: 2018-10-23
BEIJING UNIV OF CHEM TECH
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  • Description
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AI Technical Summary

Problems solved by technology

Installing additional digital valve positioners is technically difficult and expensive
[0004] Distributed Control System (DCS) is a comprehensive control system that emerged with the continuous rise of modern large-scale industrial production automation and the increasingly complex requirements of process control. It is a modern equipment for process control and process management. Most factories have established A complete DCS database is used to record the corresponding DCS data, and the realization of flow control valve monitoring based on DCS data is still a technical blank

Method used

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  • A monitoring method of flow control valve based on dcs data
  • A monitoring method of flow control valve based on dcs data
  • A monitoring method of flow control valve based on dcs data

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Embodiment Construction

[0036] Such as figure 1 As shown, the flow control valve monitoring method based on DCS data of the present invention includes the following steps,

[0037] Step 1: Obtain valve DCS data as training data, classify the training data according to different working conditions, and establish various valve models.

[0038] The training data are the measurements of the valve controller ,output value , represents the valve opening, The representative is the flow value of the valve, and the above data are all obtained from the DCS database.

[0039] The valve model can be obtained according to the flow characteristics of the valve, for example: the relationship of the logarithmic valve is

[0040] ,

[0041] The linear valve relationship is , you can also set more complex hierarchical relationships, such as .

[0042] Step 2: Based on the training data, determine the corresponding valve models under different working conditions.

[0043] The parameters of each valve...

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Abstract

The invention relates to a flow control valve monitoring method based on DCS data. The flow control valve monitoring method is characterized by comprising the following steps that (1) the valve DCS data are obtained to serve as training data, the training data are classified according to different working conditions, and multiple valve models are built; (2) based on the training data, the valve models corresponding to different working conditions are determined; (3) the current working condition is identified, and the valve model corresponding to the current working condition is determined; (4) according to the valve model determined in the step (3), the valve output flow value is forecasted; and (5) according to the valve output flow value and an estimated value corresponding to the valve output flow value, failure predication is carried out.

Description

technical field [0001] The invention relates to a monitoring method of a flow control valve based on DCS data. Background technique [0002] Flow control valve is one of the most widely used terminal control components in industrial automation production, especially in chemical production process. It determines the timeliness and effectiveness of process control. It is also an important but technically weak link in the entire control loop for a long time. Once the control valve fails, the control loop will be forced to interrupt the control operation, which may cause a larger system failure, cause the device to shut down and cause incalculable economic losses. However, in the actual production process, operators cannot monitor the control valves in real time, and can only perform preventive maintenance on important valves during planned maintenance. Such a maintenance method has a long cycle, blindness, untimelyness, low efficiency, and high time and personnel costs. [00...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): F16K37/00
CPCF16K37/00
Inventor 王友清楼志江脱建勇
Owner BEIJING UNIV OF CHEM TECH
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