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Working condition steady state detection method and process optimization method

A detection method and steady-state technology, applied in the fields of digital data information retrieval, special data processing applications, instruments, etc., can solve the problems of difficult to determine the window, difficult to control and adjust, complex algorithm, etc., to improve reliability and have universality. Sex, the effect of simple test methods

Pending Publication Date: 2021-10-22
ZHEJIANG SUPCON TECH +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The F-test method needs to introduce three adjustment parameters (weighting coefficients) that are very sensitive to the distribution of test statistics, making it difficult to control and adjust the algorithm in practical applications.
The wavelet transform method has the advantages of multi-scale analysis and time-frequency positioning, and is suitable for identifying and locating the trend of measured values ​​with noise. The algorithm is complex and the amount of calculation is large, so it is only suitable for offline steady-state detection
The filtering method determines whether the process is in a steady state by comparing the difference between the process variable before and after filtering and the allowable change limit, but the operator needs to determine the window size based on experience, and the window is difficult to determine

Method used

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  • Working condition steady state detection method and process optimization method
  • Working condition steady state detection method and process optimization method
  • Working condition steady state detection method and process optimization method

Examples

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Embodiment 1

[0063] figure 1 It is a schematic flow chart of the working condition steady-state detection method in an embodiment of the present application, such as figure 1 As shown, the method includes:

[0064] S10. For each key variable in the operation process of the device, obtain the sampling measurement data of the key variable within a preset period of time before the current moment;

[0065] S20. Perform first-order filtering on the sampled measurement data based on preset high-pass filter parameters and low-pass filter parameters, respectively, to obtain a high-pass filter value and a low-pass filter value for each sampled value;

[0066] S30. Based on the high-pass filter value and the low-pass filter value, statistically obtain the ratio of the sampled value whose filter absolute difference satisfies the preset point steady-state interval in the sampled measurement data, and use it as the point steady-state metering rate of the key variable;

[0067] Based on the low-pass ...

Embodiment 2

[0103] figure 2 It is a schematic flow chart of the working condition steady-state detection method in another embodiment of the present application, combined below figure 2 Each step in this embodiment is described in detail.

[0104] It should be noted that the tag number is the abstraction of data points in the industrial site. The real-time data of the industrial site is usually collected from the equipment or the control system in real time, and the time-based sequential data is based on the tag number. Typical tag data includes Value, timestamp and status code three fields. In this embodiment, for each key variable in the operation process of the device, the acquired sampling measurement data is bit number data, and the acquisition method is obtained by subscribing from the real-time database by the client.

[0105] S1. Perform a validity check on the acquired tag data.

[0106] Possible failures due to instrumentation, communication, etc. during the production and ...

Embodiment 3

[0149] In a second aspect, the present application provides a method for process optimization based on a DCS system, the method comprising:

[0150] S100. Aiming at the target device, the process optimization system extracts the tag data of all key variables through a sliding time window to obtain window data;

[0151] S200. The process optimization system performs steady-state detection on the window data by the method described in any one of the above-mentioned first aspects, obtains the detection result under the current working condition of the target device, and sends the detection result to the DCS system, so that in the DCS system on display;

[0152] S300, the DCS system regulates the target device based on the operating instructions issued by the operator according to the detection results;

[0153] S400, execute steps S100-S300 in a loop until the target device is in a stable state under the current working condition;

[0154] S500. When the preset optimization con...

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Abstract

The embodiment of the invention discloses a working condition steady state detection method and a process optimization method, and the detection method comprises the steps: S10, obtaining the sampling measurement data of a key variable in a preset time period before the current moment for each key variable in the operation process of a device; S20, performing first-order filtering on the sampling measurement data based on preset high-pass filtering parameters and low-pass filtering parameters to obtain a high-pass filtering value and a low-pass filtering value of each sampling value; S30, based on the high-pass filtering value and the low-pass filtering value, performing statistics to obtain a point steady-state metering rate of the key variable; based on the low-pass filtering value and the average value of the sampling measurement data, obtaining the trend steady-state metering rate of the key variable through statistics; and S40, based on the point steady-state metering rate and the trend steady-state metering rate of each key variable, determining the stable state of the working condition of the device at the current moment. The detection method is simple and has universality, and the detection reliability is improved.

Description

technical field [0001] The application belongs to the technical field of industrial control, and in particular relates to a steady-state detection method of working conditions and a process optimization method. Background technique [0002] Steady state of working condition is a commonly used assumption in chemical process calculation. Material balance, heat balance, parameter estimation, and operation optimization are all carried out based on the assumption of steady state of the device. The process optimization software needs to obtain the data of the steady-state operation of the device for optimization calculation, so the demand of process optimization for the stable operation of the working conditions is increasing. At present, common steady-state detection methods include two-stage combined statistical detection method (CST), steady-state detection method based on evidence theory (MTE), F-test method, wavelet transform method and filtering method. [0003] The CST and...

Claims

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Application Information

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IPC IPC(8): G06F16/2458G06F16/215G06F17/18
CPCG06F16/2462G06F16/2477G06F16/215G06F17/18
Inventor 李浩扬张华云吴玉成谢六磊费彦仁
Owner ZHEJIANG SUPCON TECH
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