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Fault prediction method of three-stage seal of main pump in nuclear power plant based on big data analysis

A three-stage sealing and fault prediction technology, applied in prediction, data processing applications, instruments, etc., to reduce working pressure and avoid losses

Inactive Publication Date: 2019-01-15
CNNC NUCLEAR POWER OPERATION MANAGEMENT +1
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Problems solved by technology

However, there is no technology that can make comprehensive use of these state parameters, make massive data interrelated and use analysis methods to predict the occurrence of mechanical seal failures, so that the power plant can take early countermeasures to avoid losses

Method used

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  • Fault prediction method of three-stage seal of main pump in nuclear power plant based on big data analysis
  • Fault prediction method of three-stage seal of main pump in nuclear power plant based on big data analysis
  • Fault prediction method of three-stage seal of main pump in nuclear power plant based on big data analysis

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Embodiment Construction

[0044] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0045] Such as figure 1 and figure 2 As shown, a method for predicting the failure of the three-stage seal of the main pump of a nuclear power plant based on big data analysis technology includes the following steps:

[0046] Step 1: Establish a business model for early warning of tertiary seal failure of the main pump. The business model is established in accordance with the following steps.

[0047] Step 1.1, selection of measuring points. According to the analysis of operation experience, a total of 16 modeling measurement points are given, and the specific measurement points are shown in Table 1.

[0048] Table 1 Parameter types for constructing the main pump business model

[0049]

[0050] Step 1.2, data selection. In the operating state data over the years, observe the data curve of the measuring points. Since the historical data of the ...

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Abstract

The invention belongs to the technical field of nuclear power plant equipment reliability, in particular to a method for predicting the fault of three-stage seal of a main pump of a nuclear power plant based on big data analysis, which aims at realizing the prediction of the fault of three-stage seal of the main pump of the nuclear power plant through the correlation and analysis of the operationstate data of the main pump, and facilitating the state maintenance of the power plant. The maintenance mode of nuclear power plant equipments is improved from preventive maintenance to maintenance based on the condition of some equipments. Through the new diagnosis and testing can give accurate defect positioning and valve state trend analysis, valve performance is mainly judged by valve diagnosis, greatly reducing the valve disassembly frequency, saving a lot of materials and human costs. By adopting the method of the invention, sufficient time margin is provided for formulating equipment failure response measures, and unnecessary loss of power plant is avoided.

Description

technical field [0001] The invention belongs to the technical field of reliability of nuclear power plant equipment, and in particular relates to a method for predicting a three-stage seal failure of a main pump of a nuclear power plant based on big data analysis. Background technique [0002] The reactor coolant pump (hereinafter referred to as the main pump) is an important equipment of the nuclear power plant. It is installed in the reactor. , to ensure that the reactor coolant circulates continuously in the primary circuit, and the heat generated by nuclear fission is sent to the steam generator through the coolant. At present, most of the main pumps in domestic nuclear power plants are shaft-sealed pumps. The three-stage mechanical seal assembly is one of the important parts of the main pump. Due to the inevitable problem of mechanical wear, it is also the most easily damaged part of the main pump. During the operation of the reactor, if the mechanical seal of the main...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/00G06Q50/06
CPCG06Q10/04G06Q10/20G06Q50/06
Inventor 李建春郭龙章刘健胡宇杰闵凡李小泉刘小年雷青松王苗苗李志涛杨鸿翔麻浩军
Owner CNNC NUCLEAR POWER OPERATION MANAGEMENT
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