Process industry optimization method driven by working condition comparison
A technology of process industry and optimization method, applied in the direction of program control, comprehensive factory control, electrical program control, etc., to ensure sustainable operation and solve difficult problems of convergence
Active Publication Date: 2021-05-04
ZHEJIANG SUPCON TECH +1
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[0005] In order to solve the shortcomings and deficiencies in the prior art, the present invention proposes a process industry optimization method driven by working condition comparison. By matching the real-time working conditions with historical optimization working conditions, combined with the deviation compensation algorithm, the real-time working conditions can be optimized. Real-time optimization based on the real-time optimization situation, so that the difficult convergence problem of real-time optimization is perfectly solved, ensuring the sustainable operation of the real-time optimization system
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Embodiment 1
[0057] Specifically, based on the process industry optimization method driven by the comparison of working conditions, such as figure 1 As shown, the process industry optimization method includes:
[0058] 11. In the continuous operation project of the process industry, the real-time working conditions of the industrial devices are obtained regularly, and the real-time working conditions are stored in the working condition library;
[0059] 12. Based on the working condition comparison rules, search for historical optimized working conditions that match the real-time working conditions in the historical working condition database, classify the searched historical optimized working conditions according to the satisfaction of working condition comparison, and select the closest real-time working conditions The historical optimization working conditions of the system are used as reference optimization working conditions;
[0060] 13. According to the deviation between the refere...
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The embodiment of the present application proposes a process industry optimization method driven by working condition comparison, including obtaining the real-time working conditions of industrial devices at regular intervals in the continuous operation project of the process industry, and storing the real-time working conditions in the working condition library; based on the working condition ratio The rules search the historical optimization working conditions that match the real-time working conditions in the historical working condition library, classify the searched historical optimization working conditions according to the satisfaction of the working condition comparison, and select the historical optimization working conditions that are closest to the real-time working conditions as Reference optimized working conditions; according to the deviation between the reference optimized working conditions and the real-time working conditions, the deviation compensation algorithm is used to compensate the variables in the reference optimized working conditions, so as to obtain the optimization scheme consistent with the real-time working conditions and optimize the industrial equipment. By matching the real-time working conditions with the historical optimization working conditions, combined with the deviation compensation algorithm, the real-time working conditions can be optimized in real time, so that the convergence difficulty of real-time optimization can be perfectly solved, ensuring the sustainable operation of the real-time optimization system.
Description
technical field [0001] The invention belongs to the field of process control, and in particular relates to an optimization method for flow industry driven by comparison of working conditions. Background technique [0002] In the past 30 years, the automation technology of the process industry mainly represented by oil refining and petrochemical processes has developed rapidly with the control means supported by advanced process control (APC) and real-time optimization (RTO). It has become the main means for the process industry to improve the economic efficiency of the completed plant operation. [0003] Based on the data-driven dynamic model, APC correlates the manipulated variable (MV) and the controlled variable (CV), and based on the predictive control theory, realizes the multivariable optimal control of the production device. Due to the limitations of the approximate gain model to express the mechanism of the complex flow process, the optimization results provided by ...
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IPC IPC(8): G05B19/418
CPCG05B19/41885G05B2219/32339Y02P90/02
Inventor 龚建平李辉张华云褚健
Owner ZHEJIANG SUPCON TECH