Multisource data based adaptive dead zone setting method of alarm system in petrochemical process

A technology of alarm system and multi-source data, applied in general control system, control/adjustment system, program control, etc., can solve problems such as inaccurate alarm information and poor security, achieve accurate alarm information, reduce shock alarms, and reduce errors The effect of positive rate and false positive rate

Active Publication Date: 2019-11-15
CHINA PETROLEUM & CHEM CORP +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The technical problem to be solved by the present invention is that the alarm information in the prior art is inaccurate, requires manual adjustment, and has poor security. It provides a new self-adaptive dead

Method used

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  • Multisource data based adaptive dead zone setting method of alarm system in petrochemical process
  • Multisource data based adaptive dead zone setting method of alarm system in petrochemical process
  • Multisource data based adaptive dead zone setting method of alarm system in petrochemical process

Examples

Experimental program
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Example Embodiment

[0015] [Example 1]

[0016] Embodiments of the present invention consist of figure 1 As shown in the figure, it includes the establishment of a real-time collection platform for multi-source data of the device, data preprocessing, operation ledger analysis, calculation of adaptive dead zone range, and development of an alarm system with adaptive dead zone settings.

[0017] Construction of real-time data collection platform: According to the data collection interface provided by the enterprise (the sampling frequency in the real-time database can reach 1 time / min), an OPC DA server framework implemented by VC++ programming is used to collect and run from the control system of the device or the enterprise real-time database. Real-time data, refresh the real-time data table of the server, and store the real-time data in the historical data table of each parameter in a time series. Each variable saves 10,000 data in the server's real-time data table, and the real-time database i...

Example Embodiment

[0027] [Example 2]

[0028] Embodiments of the present invention consist of figure 1 As shown in the figure, it includes the establishment of a real-time collection platform for multi-source data of the device, data preprocessing, operation ledger analysis, calculation of adaptive dead zone range, and development of an alarm system with adaptive dead zone settings.

[0029]Construction of real-time data collection platform: According to the data collection interface provided by the enterprise (the sampling frequency in the real-time database can reach 2 times / min), an OPC DA server framework implemented by VC++ programming is used to collect and run from the control system of the device or the enterprise real-time database. Real-time data, refresh the real-time data table of the server, and store the real-time data in the historical data table of each parameter in a time series. Each variable saves 10,000 data in the server's real-time data table, and the real-time database i...

Example Embodiment

[0039] [Example 3]

[0040] Embodiments of the present invention consist of figure 1 As shown in the figure, it includes the establishment of a real-time collection platform for multi-source data of the device, data preprocessing, operation ledger analysis, calculation of adaptive dead zone range, and development of an alarm system with adaptive dead zone settings.

[0041] Construction of real-time data collection platform: According to the data collection interface provided by the enterprise (the frequency of data collection from the DCS system using the OPC DA specification can reach 1 time / second), an OPC DA server framework implemented by VC++ programming is used to control the slave device. The system or enterprise real-time database collects and operates real-time data, refreshes the real-time data table of the server, and stores the real-time data in the historical data table of each parameter in a time series. Each variable saves 10,000 data in the server's real-time...

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Abstract

The invention relates to a multisource data based adaptive dead zone setting method of an alarm system in the petrochemical process, and mainly solves the problem of in accurate alarm information, need for manual adjustment and relatively low safety in the prior art. The method comprises establishment of a real-time device multisource collection platform, collection of device operation ledger data, preprocessing of data, operation ledger analysis and calculation of the range of the adaptive dead zone; and concretely, the alarm system is capable of adaptive dead zone setting, data collected bythe real-time collection platform and data collected by the operation ledger data collection server are preprocessed, then the operation ledger data is analyzed, target data is sent to the alarm system, and the range of the adaptive dead zone is calculated. Thus, the above problems can be solved effectively, and the method can be applied to adaptive dead zone setting of the alarm system in the petrochemical process.

Description

technical field [0001] The invention relates to a petrochemical process alarm system adaptive dead zone setting method based on multi-source data. Background technique [0002] The complex working conditions in the petrochemical production process have the characteristics of nonlinearity, strong coupling, multi-scale, multi-mode, dynamic time-varying, etc., which put forward higher requirements and challenges for process safety assurance and product quality control. Abnormal working conditions in the petrochemical production process have the characteristics of strong concealment, many related factors, and great harm. Once misjudgment or misoperation occurs, it is easy to cause production fluctuations or even unplanned shutdowns. Most of the monitoring and early warning methods remain at the level of relying on manual experience to analyze and deal with. Due to the influence of various objective interference factors and the level of operators, it is difficult to quickly and a...

Claims

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Application Information

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IPC IPC(8): G05B19/418
CPCG05B19/4183G05B2219/31439Y02P90/02
Inventor 韩华伟王春利李传坤高新江
Owner CHINA PETROLEUM & CHEM CORP
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