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Sensor intelligent data reconstruction method and system

A data reconstruction and data reconstruction model technology, applied in the field of data processing, can solve problems such as insufficient robustness, false triggering of automatic actions, control system refusal or misoperation, etc., to improve safety and stability, reduce Construction cost, effect of reducing the number of configurations

Pending Publication Date: 2022-04-05
CHINA NUCLEAR POWER ENG CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] Although a variety of technical means have been used to improve the reliability of nuclear power plant sensors, it is still difficult to avoid the occurrence of sensor failures (such as: sudden loss of function)
After the sensor failure, it may cause the system to mistakenly trigger automatic actions based on the wrong unit state (such as: malfunction or refusal), threatening the safety of the unit, resulting in the robustness of the unit operation is still not high, and some sensor failures still require timely intervention by personnel
[0004] And in the event of a loss of redundant / non-redundant sensor sensing data caused by a common mode failure, it will still cause a sudden loss of data sensing based on the relevant sensor
Furthermore, under the relevant working conditions, the robustness of the unit operation is insufficient, so that before the operation and maintenance personnel can effectively intervene, it will cause inappropriate control system refusal or malfunction, weakening the safety and economy of the unit

Method used

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  • Sensor intelligent data reconstruction method and system

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Embodiment 1

[0046] In order to facilitate the expression of the technical solution disclosed in the present invention, the set K is defined as a set of sensors (hereinafter referred to as “reconstructed sensors”) that need to be reconstructed. Under different unit operating conditions, each data reconstruction sensor has a corresponding data reconstruction model. In this embodiment, the data reconstruction model is trained based on the Auto-Association Kernel Regression Algorithm (AAKR). By bringing the sensor measurement data normally operated under a certain working condition into the data reconstruction model for model training, we can obtain the required data reconstruction model. like figure 1 As shown, the input of the reconstruction model of sensor X is the real-time measurement data of relevant sensors under corresponding working conditions, and the output is the reconstruction value of sensor X.

[0047] like figure 2 Shown, a kind of sensor intelligent data reconstruction me...

Embodiment 2

[0083] A sensor intelligent data reconstruction system according to the present invention includes a model operation condition judgment module, a sensor state detection module and a data reconstruction module.

[0084] The model operation condition judgment module is used to judge whether the operation condition of the data reconstruction model is met. If the operation condition of the data reconstruction model is met, the subsequent data reconstruction step will be continued, otherwise the data reconstruction step will be suspended and wait for the next judgment cycle Continue to judge whether the operation conditions of the data reconstruction model are met.

[0085] The sensor state detection module is used to detect the sensor state and determine whether the detection result is abnormal. If the sensor state detection shows that the detection result is abnormal, continue to the subsequent data reconstruction step. If the sensor state detection shows that the detection result...

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Abstract

The invention relates to a sensor intelligent data reconstruction method and system, and the method comprises the steps: sequentially judging whether a data reconstruction model operation condition is met or not, judging whether a sensor state detection result is abnormal or not, inputting the real-time measurement data of a sensor with an abnormal detection result into a data reconstruction model, and obtaining a reconstruction value. The fault sensor can be rapidly and actively identified, data are automatically generated under the condition that related conditions are met, the numerical value of the fault sensor is replaced, it is guaranteed that a unit is in a safe and stable state, and time is bought for operation control operation of operators and field maintenance replacement work of maintenance personnel. The method can replace the traditional'periodic test ', and uniform and targeted maintenance is realized during planned shutdown, so that the operation and maintenance cost is reduced. The unit operation state can be automatically stabilized under the condition of sensor common-mode fault, and the safety and stability of nuclear power plant operation are improved.

Description

technical field [0001] The invention belongs to the field of data processing, and in particular relates to a sensor intelligent data reconstruction method and system. Background technique [0002] The safe and reliable operation of nuclear power units is inseparable from the complete function of the instrument and control system, and the integrity of the sensor function is the basis for the instrument and control system to monitor the nuclear power plant's operating status and trigger automatic actions. In order to improve the reliability of sensors, in the design of existing nuclear power units, three technical means are mainly adopted: "higher identification requirements", "hardware redundant configuration" and "periodic tests or condition-based maintenance during operation and maintenance": In nuclear power plants, sensors are divided into two categories: "safety level" and "non-safety level". For nuclear safety level sensors, higher quality assurance, earthquake resista...

Claims

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Application Information

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IPC IPC(8): G21D3/00G21D3/06G21C17/00
CPCY02E30/00Y02E30/30G21C17/00G21D3/00G21D3/06
Inventor 邢继堵树宏徐钊于方小稚苗壮马心童张敏楚济如洪郡滢
Owner CHINA NUCLEAR POWER ENG CO LTD
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