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CN-121995996-A - Parameter control method and system for flue gas denitration catalyst preparation process

CN121995996ACN 121995996 ACN121995996 ACN 121995996ACN-121995996-A

Abstract

The invention discloses a parameter control method and a system for a flue gas denitration catalyst preparation process, which relate to the technical field of catalyst production control, and the method comprises the steps of acquiring equipment operation parameters and physical and chemical characteristic information of raw materials; the method comprises the steps of estimating the influence degree of the loss of a component according to the operation parameters of the device and the physical and chemical characteristic information, calculating target stress values generated on the device component when the operation parameters deviate from the reference according to the influence degree of the loss of the component, the physical and chemical characteristic information, the operation parameters of the device and the parameter reference range, carrying out cumulative calculation on a plurality of target stress values to obtain cumulative fatigue indexes, estimating the trend of the loss of the device component according to the cumulative fatigue indexes, and generating a parameter control strategy according to the trend of the loss of the device component. The invention can combine the accumulated fatigue index and the equipment part loss trend to generate the parameter control strategy so as to realize parameter control, thereby improving the accuracy and the product quality.

Inventors

  • LIANG JIANYOU

Assignees

  • 扬州工业职业技术学院

Dates

Publication Date
20260508
Application Date
20251218

Claims (10)

  1. 1. The parameter control method for the flue gas denitration catalyst preparation process is characterized by comprising the following steps of: Acquiring equipment operation parameters and physical and chemical characteristic information of raw materials; estimating the influence degree of the component loss according to the equipment operation parameters and the physicochemical characteristic information; calculating a target stress value generated on the equipment component when the operation parameter deviates from the reference according to the component loss influence degree, the physicochemical characteristic information, the equipment operation parameter and the parameter reference range; Performing cumulative calculation on a plurality of target stress values to obtain a cumulative fatigue index; evaluating equipment component loss trend according to the accumulated fatigue index; And generating a parameter control strategy according to the equipment component loss trend.
  2. 2. The method of claim 1, wherein said evaluating a component loss impact level based on said plant operating parameters and said physicochemical characteristic information comprises: acquiring historical operation parameters; Calculating a parameter average value and a parameter range according to the historical operation parameters; Determining raw material characteristic weighting coefficients and duration weighting coefficients according to the physicochemical characteristic information; calculating a load factor based on the plant operating parameter, the parameter average, the parameter range, the raw material characteristic weighting factor, and the duration weighting factor; Calculating a load factor change rate according to a plurality of the load factors; and evaluating the influence degree of the component loss according to the change rate of the load factor.
  3. 3. The method of claim 1, wherein calculating a target stress value to be generated for the component of the device when the operating parameter deviates from a reference based on the component loss impact level, the physicochemical characteristic information, the device operating parameter, and a parameter reference range, comprises: Collecting microscopic physical response signals when the equipment runs; Identifying an impact event caused by microscopic non-uniformity of the raw material based on the microscopic physical response signal; Calculating the impact event intensity according to the micro-non-uniformity type and the impact characteristics of the raw materials corresponding to the impact event; calculating an initial stress value according to the physicochemical characteristic information; Calculating the deviation degree of the parameters according to the operation parameters of the equipment and the parameter reference range; the target stress value is calculated based on the impact event intensity, the initial stress value, the component loss influence level, and the parameter deviation level.
  4. 4. A method according to claim 3, wherein said identifying an impact event caused by microscopic inhomogeneities of the raw material based on said microscopic physical response signal comprises: Extracting time domain features of the microscopic physical response signals to obtain time domain features, wherein the time domain features comprise instantaneous energy, peak amplitude and rise time; Extracting frequency domain features of the microscopic physical response signals to obtain frequency domain features, wherein the frequency domain features comprise main frequency components and bandwidths; Comparing the time-frequency domain characteristics with a background vibration signal template to identify a difference signal segment, wherein the time-frequency domain characteristics comprise the time domain characteristics and the frequency domain characteristics; And identifying the impact event according to the difference signal segment.
  5. 5. The method of claim 4, wherein said identifying said impact event from said difference signal segment comprises: Performing time-frequency analysis on the difference signal segments to obtain energy distribution and transient response characteristics; Matching the energy distribution, the transient response characteristics and an impact characteristic spectrum to obtain a matching result, wherein the impact characteristic spectrum comprises a plurality of raw material microscopic non-uniformity types; And identifying the impact event according to the matching result.
  6. 6. A method according to claim 3, wherein said calculating an initial stress value from said physicochemical property information comprises: Collecting a reflection spectrum image of the raw material; identifying a feature deviation area according to the reflection spectrum image; extracting spectral features from the feature deviation region; Identifying abnormal impurity information and hard particle information according to the spectral characteristics; calculating an abnormal particle intensity index according to the abnormal impurity information and the hard particle information; And calculating the initial stress value according to the physicochemical characteristic information and the abnormal particle strength index.
  7. 7. A method according to claim 3, wherein said calculating said target stress value based on said impact event intensity, said initial stress value, said component loss impact level, and said parameter deviation level comprises: determining an influence weight according to the component loss influence degree and the parameter deviation degree; Calculating a weighted impact strength value according to the impact event strength and the impact weight; and superposing the weighted impact strength value and the initial stress value to obtain the target stress value.
  8. 8. The method of claim 1, wherein said evaluating equipment component loss trend based on said cumulative fatigue indicator comprises: calculating an index change rate according to the accumulated fatigue index; Adjusting a fatigue loss conversion function according to the index change rate, the equipment operation parameter and the physicochemical characteristic information; Converting the accumulated fatigue index into an actual loss of the equipment component according to the fatigue loss conversion function; And evaluating the loss trend of the equipment component according to the actual loss quantity and the historical loss quantity of the equipment component.
  9. 9. The method of claim 1, wherein generating a parameter control strategy based on the equipment component loss trend comprises: Acquiring production throughput demand information, raw material inventory information, product delivery deadline information and equipment energy consumption level information of a current production line; Determining a production adjustment strategy according to the equipment component loss trend, the production throughput demand information and the equipment energy consumption level information, wherein the production adjustment strategy comprises adjustment of production speed, production batch switching or temporary shutdown maintenance; determining a maintenance scheduling policy according to the equipment component loss trend, the raw material inventory information and the product delivery deadline information, wherein the maintenance scheduling policy comprises preventive maintenance, delayed maintenance or component replacement; Carrying out production comprehensive influence evaluation on the production adjustment strategy and the maintenance scheduling strategy to obtain a production comprehensive influence; And generating the parameter control strategy according to the comprehensive production influence, the production adjustment strategy and the maintenance scheduling strategy.
  10. 10. A parameter control system for a flue gas denitration catalyst preparation process, comprising: the data acquisition module is used for acquiring equipment operation parameters and physical and chemical characteristic information of raw materials; the influence degree evaluation module is used for evaluating the influence degree of the loss of the component according to the equipment operation parameters and the physicochemical characteristic information; The stress value calculation module is used for calculating a target stress value generated on the equipment component when the operation parameter deviates from the reference according to the component loss influence degree, the physicochemical characteristic information, the equipment operation parameter and the parameter reference range; the stress accumulation module is used for carrying out accumulation calculation on a plurality of target stress values to obtain an accumulated fatigue index; a loss trend evaluation module for evaluating equipment component loss trend according to the accumulated fatigue index; And the control strategy generation module is used for generating a parameter control strategy according to the equipment component loss trend.

Description

Parameter control method and system for flue gas denitration catalyst preparation process Technical Field The invention relates to the technical field of catalyst production control, in particular to a parameter control method and system for a flue gas denitration catalyst preparation process. Background The production flow of the flue gas denitration catalyst comprises the steps of raw material mixing, kneading, extrusion molding, drying, high-temperature calcination and the like, and the traditional method of manually adjusting parameters is dependent, so that the product performance is large in batch difference, high in energy consumption and unstable in activity, and the nitrogen oxide removal effect is influenced. The existing control system adjusts the execution component according to preset rules by collecting temperature, pressure, humidity and other information. However, the particle size distribution, surface area and trace impurity content of raw material powders of different suppliers or different batches of raw material powders of the same supplier are different. These differences directly affect the subsequent production, for example, the raw materials with small particles require more moisture during kneading, changing the drying load, and certain impurities react with the active ingredient during high temperature calcination, reducing the catalyst activity. The existing system is difficult to identify the difference between raw materials in different batches, so that the produced catalyst has fluctuation in performance, the parameter control accuracy is low, and the product quality is affected. In summary, the technical problems in the related art are to be improved. Disclosure of Invention The embodiment of the invention mainly aims to provide a parameter control method and a system for a flue gas denitration catalyst preparation process, which can combine accumulated fatigue indexes and equipment part loss trend to generate a parameter control strategy so as to realize parameter control and improve accuracy and product quality. In one aspect, the embodiment of the invention provides a parameter control method for a flue gas denitration catalyst preparation process, which comprises the following steps: Acquiring equipment operation parameters and physical and chemical characteristic information of raw materials; estimating the influence degree of the component loss according to the equipment operation parameters and the physicochemical characteristic information; calculating a target stress value generated on the equipment component when the operation parameter deviates from the reference according to the component loss influence degree, the physicochemical characteristic information, the equipment operation parameter and the parameter reference range; Performing cumulative calculation on a plurality of target stress values to obtain a cumulative fatigue index; evaluating equipment component loss trend according to the accumulated fatigue index; And generating a parameter control strategy according to the equipment component loss trend. In some embodiments, said evaluating a component loss impact level based on said device operating parameters and said physicochemical characteristic information comprises: acquiring historical operation parameters; Calculating a parameter average value and a parameter range according to the historical operation parameters; Determining raw material characteristic weighting coefficients and duration weighting coefficients according to the physicochemical characteristic information; calculating a load factor based on the plant operating parameter, the parameter average, the parameter range, the raw material characteristic weighting factor, and the duration weighting factor; Calculating a load factor change rate according to a plurality of the load factors; and evaluating the influence degree of the component loss according to the change rate of the load factor. In some embodiments, the calculating a target stress value for the component of the device when the operating parameter deviates from a reference based on the component loss impact level, the physicochemical characteristic information, the device operating parameter, and a parameter reference range comprises: Collecting microscopic physical response signals when the equipment runs; Identifying an impact event caused by microscopic non-uniformity of the raw material based on the microscopic physical response signal; Calculating the impact event intensity according to the micro-non-uniformity type and the impact characteristics of the raw materials corresponding to the impact event; calculating an initial stress value according to the physicochemical characteristic information; Calculating the deviation degree of the parameters according to the operation parameters of the equipment and the parameter reference range; the target stress value is calculated based on the impact event intensity, the initial stre