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Nuclear power real-time data trend fitting algorithm

A real-time data and data trend technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve the problems of observation and monitoring, large difference in actual data curves, large data volume, etc., and achieve the effect of improving efficiency

Pending Publication Date: 2021-07-30
SHANGHAI NUCLEAR ENG RES & DESIGN INST CO LTD
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  • Abstract
  • Description
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Problems solved by technology

However, the time span of long-term fitting is relatively large, and the amount of data is also large. During the fitting process, eigenvalues ​​will be lost, which will cause the fitting curve to be distorted. trend
The distortion of the fitting curve has a certain impact on the observation and monitoring of the operating status of the nuclear power system by the operation and maintenance staff, and certain errors will also appear in the fault diagnosis.

Method used

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  • Nuclear power real-time data trend fitting algorithm

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Embodiment

[0022] like figure 1 As shown, the nuclear power real-time data trend fitting algorithm of the present invention is schematically shown for the compressed storage and data decompression process of the real-time data generated in the nuclear power production process. The invention mainly decompresses the data generated in the nuclear power production process, and performs data trend fitting analysis according to the decompressed data.

[0023] The nuclear power real-time data trend fitting algorithm of the present invention is summarized as follows: for the data segments generated in a short period of time, the feature values ​​can be directly extracted and connected in sequence to obtain a fitting curve; for the data segments generated in a long-term time, by The segment is divided into several short-term data segments, and the short-term data fitting method is used in turn to obtain a long-term trend fitting curve.

[0024] The nuclear power real-time data trend fitting algo...

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Abstract

The invention aims at disclosing a nuclear power real-time data trend fitting algorithm, and compared with the prior art, the accuracy problem when historical data is used for trend analysis fitting in the nuclear power production process is effectively solved, the accuracy of a trend fitting curve is improved by 200% or above, the accuracy of operation and maintenance management fault diagnosis by using the trend fitting curve is improved by more than 200%, and the demand of trend fitting analysis of historical data of a nuclear power plant unit can be completely met. And when long-term trend fitting is used, the fitting efficiency is effectively improved, and the purpose of the invention is achieved.

Description

technical field [0001] The invention relates to a real-time data trend fitting algorithm, in particular to a nuclear power real-time data trend fitting algorithm for intelligent production operation and maintenance in the nuclear power industry. Background technique [0002] During the operation of nuclear power plants, it is an important guarantee for the safe operation of nuclear power plants to use effective methods to monitor and diagnose the operating status and provide operators with true, clear and complete status information of nuclear power plants. In the field of nuclear power, a large number of sensors and switch controllers are designed and installed in the power generation system. The number of sensors in a single nuclear power unit control system can reach about 20,000 (each sensor has a unique monitoring point name for identifying and retrieving sensor data), these Sensor data needs to be collected in real time at the second level in the control area and uploa...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06F119/02
CPCG06F30/20G06F2119/02
Inventor 侯军委王瑞毕道伟荣辉张照生王海东
Owner SHANGHAI NUCLEAR ENG RES & DESIGN INST CO LTD
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