Internal mixer control system based on servo hydraulic station

Abstract

The invention relates to the technical field of data processing, in particular to an internal mixer control system based on a servo hydraulic station, which comprises an equipment module, a data storage module, a parameter monitoring module and a parameter processing module. The method comprises the following steps: dividing historical mixing data through a data processing module, establishing an effective mixing data set, analyzing the effective mixing data set, and determining a characteristic range curve of a curve set; the operation parameters are monitored and acquired through the data monitoring module, the feature coordinate points are constructed, the feature values of the feature coordinate points are calculated through the feature drawing model, whether the operation parameter set is abnormal or not is judged according to the feature values, whether the operation parameters are adjusted or not is determined, and the effect of dynamically adjusting the operation parameters based on data analysis is achieved. The defects that an internal mixer control system is single in adjusting method, low in flexibility and difficult to control the internal mixer from the big data level are overcome, and the control process of the internal mixer is more accurate.

Description

Technical Field

[0001] The invention relates to the technical field of data analysis, and in particular to an internal mixer control system based on a servo hydraulic station. Background Art

[0002] The internal mixer is a closed rubber mixing equipment equipped with rotors of specific shapes that rotate relative to each other, and mixes polymer materials under adjustable temperature and pressure.

[0003] In the prior art, there is a patent application CN117140772B entitled a continuous low-temperature mixing internal mixer integrated control system, comprising an internal mixer rotor; a top bolt on the internal mixer; a parameter monitoring unit arranged on the internal mixer, and a parameter detection unit used to monitor the parameters of the internal mixer in real time; a speed regulating unit arranged in the internal mixer, and the speed regulating unit used to adjust the speed of the internal mixer rotor; a temperature reduction regulating unit arranged in the internal mixer, and the temperature reduction regulating unit used to adjust the temperature in the internal mixer; a control unit arranged on the internal mixer, and the control unit used to accurately control the working conditions of the speed regulating unit and the temperature reduction regulating unit according to the parameter relationship monitored in real time; however, in the above patent documents, the methods of adjusting the rotor speed according to the weight of the rubber material, selecting the correction coefficient according to the temperature, and selecting the condition matrix according to the preset temperature are relatively simple, with low flexibility, similar to a fixed program, and do not have a process for dynamically adjusting the operating parameters based on data analysis, making it difficult to accurately control the internal mixer to achieve the optimal mixing effect. Summary of the invention

[0004] The purpose of the present invention is to solve the problems in the background technology and to propose a control system for an internal mixer based on a servo hydraulic station.

[0005] In order to achieve the above-mentioned purpose, the present invention adopts the following technical scheme: a control system for an internal mixer based on a servo hydraulic station, comprising an equipment module, a data storage module, a parameter monitoring module and a parameter processing module;

[0006] The equipment module includes a mixer chamber, a heating mechanism, a stirring rotor and an upper push bolt, wherein the mixer rotor is used to stir the rubber material, and the upper push bolt of the mixer is used to seal and pressurize the rubber material;

[0007] A data storage module, used to store historical mixing data;

[0008] Parameter monitoring module, used to monitor the operating parameters in the internal mixer;

[0009] Parameter processing module, including analysis unit and control unit;

[0010] An analysis unit is used to analyze historical mixing data, obtain analysis results, and determine whether there are abnormalities in the operating parameters of the equipment module based on the analysis results;

[0011] The control unit is used to adjust the operating parameters.

[0012] As a further solution of the present invention, the parameter monitoring module includes a pressure sensor, a temperature sensor and a load monitor;

[0013] A pressure sensor is arranged in the mixer chamber to obtain the real-time pressure inside the mixer;

[0014] A temperature sensor is arranged in the mixer chamber to obtain the real-time temperature inside the mixer;

[0015] A load monitoring unit is provided in the control system and is used to obtain the real-time load of the internal mixer;

[0016] Real-time pressure, real-time temperature and real-time load are all operating parameters of the equipment module.

[0017] As a further solution of the present invention, a method for analyzing historical mixing data includes:

[0018] S10, dividing the historical mixing data to establish an effective mixing data set;

[0019] S20, analyzing the effective mixing data set, determining a plurality of reference curves, combining the plurality of reference curves, and establishing a curve set of the effective mixing data set;

[0020] S30. Perform curve analysis on several reference curves in the curve set to determine a characteristic range curve of the curve set.

[0021] As a further solution of the present invention, a method for determining whether an operating parameter of a device module is abnormal is as follows:

[0022] Obtain the real-time temperature, real-time pressure, real-time load and mixing time of the mixer chamber and use them as the operating parameters of the equipment module to build an operating parameter set;

[0023] The real-time temperature, real-time pressure, and real-time load are respectively used as the first characteristic ordinate, the second characteristic ordinate, and the third characteristic ordinate, and the mixing time is used as the characteristic abscissa. The characteristic ordinates are operated as follows in sequence:

[0024] Establishing a feature coordinate point according to the feature ordinate and the feature abscissa, establishing a feature proposed model according to whether the feature coordinate point belongs to the corresponding feature range curve, and calculating the feature value of the feature coordinate point through the feature proposed model;

[0025] Establish characteristic coordinate points according to characteristic ordinates and characteristic abscissas, establish characteristic proposal models according to whether the characteristic coordinate points belong to corresponding characteristic range curves, calculate characteristic values ​​of characteristic coordinate points through characteristic proposal models, judge whether there are abnormalities in the operating parameter set according to the characteristic values, and decide whether to adjust the operating parameters.

[0026] As a further solution of the present invention, the expression of the feature proposed model is:

[0027] λ is the eigenvalue;

[0028] If there is any characteristic coordinate point with a characteristic value of -1, the ordinate corresponding to the characteristic coordinate point is marked as an abnormal value, and the operating parameter corresponding to the abnormal value is judged to be abnormal; otherwise, the operating parameter is judged to be normal.

[0029] As a further solution of the present invention, the method for determining whether to adjust the operating parameters is:

[0030] If there is an abnormality in the operating parameters, the characteristic values ​​of the characteristic coordinate points are traversed, and the characteristic coordinate points with characteristic values ​​of -1 are marked as target coordinate points, and the operating parameters corresponding to the ordinates of the target coordinate points are marked as target parameters, and the operating parameters corresponding to the ordinates of the two characteristic coordinate points with characteristic values ​​of 1 are randomly marked as the first adjustment parameter and the second adjustment parameter;

[0031] The first adjustment parameter is adjusted once, and the characteristic value of the target coordinate point is traced once. If the characteristic value of the target coordinate point is 1, the adjustment is determined to be valid and an adjustment valid label is generated; otherwise, the adjustment is determined to be invalid and an adjustment invalid label is generated.

[0032] As a further solution of the present invention, the second adjustment parameter is adjusted twice according to the invalid label of the first adjustment, and the characteristic value of the target coordinate point is traced twice. If the characteristic value of the target coordinate point is 1, the second adjustment is determined to be valid, and a valid label of the first adjustment is generated; otherwise, the second adjustment is determined to be invalid, and a second adjustment invalid label is generated;

[0033] The adjustment is terminated according to any adjustment valid tag, and the operation parameters of the equipment module are monitored according to the sampling period to see if there are any abnormalities.

[0034] As a further solution of the present invention, the parameter processing module is further connected to an alarm unit for determining, based on the invalid label of the secondary adjustment, that an operating parameter corresponding to the target value is abnormal and issuing an alarm.

[0035] Compared with the existing technology, the advantages of the present invention are: the present invention divides the historical mixing data through the data processing module, establishes the effective mixing data set, analyzes the effective mixing data set, and determines the characteristic range curve of the curve set; monitors and obtains the operating parameters through the data monitoring module, and constructs the characteristic coordinate points, calculates the characteristic values ​​of the characteristic coordinate points through the characteristic formulation model, judges whether there is an abnormality in the operating parameter set according to the characteristic values, and decides whether to adjust the operating parameters, thereby achieving the effect of dynamically adjusting the operating parameters based on data analysis, overcoming the shortcomings of the internal mixer control system of single adjustment method, low flexibility, and difficulty in controlling the internal mixer from the big data level, making the regulation process of the internal mixer more precise. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 It is a module flow chart of the present invention. DETAILED DESCRIPTION

[0037] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0038] Reference Figure 1 , a control system for an internal mixer based on a servo hydraulic station, comprising an equipment module, a data storage module, a parameter monitoring module and a parameter processing module;

[0039] The equipment module includes a mixer chamber, a heating mechanism, a stirring rotor and an upper push bolt, wherein the mixer rotor is used to stir the rubber material, and the upper push bolt of the mixer is used to seal and pressurize the rubber material;

[0040] A data storage module, used to store historical mixing data;

[0041] Parameter monitoring module, used to monitor the operating parameters in the internal mixer;

[0042] The parameter monitoring module includes a pressure sensor, a temperature sensor and a load monitor;

[0043] A pressure sensor is arranged in the mixer chamber to obtain the real-time pressure inside the mixer;

[0044] A temperature sensor is arranged in the mixer chamber to obtain the real-time temperature inside the mixer;

[0045] A load monitoring unit is provided in the control system and is used to obtain the real-time load of the internal mixer;

[0046] Real-time pressure, real-time temperature and real-time load are all operating parameters of the equipment module;

[0047] Parameter processing module, including analysis unit and control unit;

[0048] An analysis unit is used to analyze historical mixing data, obtain analysis results, and determine whether there are abnormalities in the operating parameters of the equipment module based on the analysis results;

[0049] A control unit, used to adjust operating parameters;

[0050] Methods for data analysis of historical mixing data include:

[0051] S10, dividing the historical mixing data to establish an effective mixing data set;

[0052] Specifically, the method for establishing an effective mixing data set is:

[0053] The historical mixing data includes the type of rubber compound, historical mixing time, historical mixing temperature change curve, historical mixing pressure change curve, historical mixing load change curve and historical mixing quality report;

[0054] The historical quality reports are divided into qualified quality reports or unqualified quality reports; the qualified quality reports are used as screening items to screen the historical mixing data, and the obtained historical mixing data are marked as valid mixing data;

[0055] The effective mixing data is divided according to the type of rubber compound to obtain the effective mixing data set of the rubber compound type;

[0056] S20, analyzing the effective mixing data set, determining a plurality of reference curves, combining the plurality of reference curves, and establishing a curve set of the effective mixing data set;

[0057] Specifically, the method for establishing a curve set of an effective mixing data set is:

[0058] In the effective mixing data set, the historical mixing temperature change curve, the historical mixing pressure change curve and the historical mixing load change curve are used as the first reference curve, the second reference curve and the third reference curve of the effective mixing data respectively;

[0059] Combining first reference curves, second reference curves and third reference curves of a plurality of effective mixing data in the effective mixing data set, respectively, to obtain curve sets corresponding to the effective mixing data sets;

[0060] S30. Perform curve analysis on several reference curves in the curve set to determine a characteristic range curve of the curve set.

[0061] Specifically, the method for performing curve analysis on several reference curves in the curve set is:

[0062] Compare the historical mixing times in the same valid mixing data set, determine the maximum historical mixing time, and use it as the sample axis time; mark the sample axis time according to the sampling period to obtain several sample marking points, obtain the time corresponding to the sample marking points, and use it as the historical sampling time; the sampling period can be set to 5 seconds;

[0063] Perform the following operations on different curve sets in turn:

[0064] Obtain reference values ​​of several reference curves at different historical sampling time points to obtain reference value sets of different reference curves at the historical sampling time points, combine the reference value sets of different reference curves to obtain reference value sets of different reference curves about the historical sampling time, and construct a reference range according to the reference value sets of different reference curves;

[0065] Obtain the median value of the reference range and use it as the standard value of the historical sampling time, and determine the standard radius based on the standard value and the reference range;

[0066] Specifically, the method for determining the standard radius is to determine the maximum value of the reference range and use it as the reference upper limit value, calculate the difference between the reference upper limit value and the standard value, and use the calculated result as the standard radius;

[0067] According to different historical sampling times and standard values ​​of different change curves, the historical sampling time is used as the horizontal coordinate and the standard value is used as the vertical coordinate to obtain the standard coordinate. The standard coordinate is calculated using the interpolation algorithm to generate a smooth standard curve corresponding to the curve set. The standard curve is translated upward and downward along the vertical axis based on the standard radius. The translated curves are used as the upper boundary curve and the lower boundary curve of the curve set. The characteristic range curve of the curve set is established according to the upper boundary curve and the lower boundary curve.

[0068] The method to determine whether there is an abnormality in the operating parameters of the equipment module is:

[0069] Obtain the real-time temperature, real-time pressure, real-time load and mixing time of the mixer chamber and use them as the operating parameters of the equipment module to build an operating parameter set;

[0070] The real-time temperature, real-time pressure, and real-time load are respectively used as the first characteristic ordinate, the second characteristic ordinate, and the third characteristic ordinate, and the mixing time is used as the characteristic abscissa. The characteristic ordinates are operated as follows in sequence:

[0071] Establishing a feature coordinate point according to the feature ordinate and the feature abscissa, establishing a feature proposed model according to whether the feature coordinate point belongs to the corresponding feature range curve, and calculating the feature value of the feature coordinate point through the feature proposed model;

[0072] The expression of the feature proposed model is:

[0073] λ is the eigenvalue;

[0074] Determine whether there is an abnormality in the operating parameter set based on the characteristic value and decide whether to adjust the operating parameters;

[0075] If the characteristic value of any characteristic coordinate point is -1, the ordinate corresponding to the characteristic coordinate point is marked as an abnormal value, and the operating parameter corresponding to the abnormal value is judged to be abnormal; otherwise, the operating parameter is judged to be normal;

[0076] The method to decide whether to adjust the operating parameters is:

[0077] If there is an abnormality in the operating parameters, the characteristic values ​​of the characteristic coordinate points are traversed, and the characteristic coordinate points with characteristic values ​​of -1 are marked as target coordinate points, and the operating parameters corresponding to the ordinates of the target coordinate points are marked as target parameters, and the operating parameters corresponding to the ordinates of the two characteristic coordinate points with characteristic values ​​of 1 are randomly marked as the first adjustment parameter and the second adjustment parameter;

[0078] The first adjustment parameter is adjusted once, and the characteristic value of the target coordinate point is traced once. If the characteristic value of the target coordinate point is 1, the adjustment is determined to be valid and an adjustment valid label is generated; otherwise, the adjustment is determined to be invalid and an adjustment invalid label is generated.

[0079] According to the invalid label of the first adjustment, the second adjustment parameter is adjusted for the second time, and the characteristic value of the target coordinate point is traced for the second time. If the characteristic value of the target coordinate point is 1, the second adjustment is determined to be valid, and a valid label of the first adjustment is generated; otherwise, the second adjustment is determined to be invalid, and a second adjustment invalid label is generated;

[0080] The adjustment is terminated according to any valid adjustment tag, and the operating parameters of the equipment module are monitored according to the sampling period to see if there are any abnormalities;

[0081] For example, if the characteristic coordinate point composed of the real-time load and the mixing time is above the corresponding characteristic range curve, the characteristic value of the characteristic coordinate point is -1;

[0082] If the characteristic coordinate point composed of the real-time temperature and the mixing time is within the characteristic range curve corresponding to the characteristic coordinate point, the characteristic value of the characteristic coordinate point is 1;

[0083] If the characteristic coordinate point composed of the real-time pressure and the mixing time is within the characteristic range curve corresponding to the characteristic coordinate point, the characteristic value of the characteristic coordinate point is 1;

[0084] It is determined that the operating parameters of the equipment module are abnormal, and the specific abnormality is the real-time load abnormality;

[0085] Furthermore, the real-time temperature is used as the first adjustment parameter, and the real-time pressure is used as the second adjustment parameter. The real-time temperature of the mixer chamber is preferentially reduced to reduce the real-time load, and the real-time load is traced once. If the real-time temperature is adjusted to the lowest value of the corresponding reference range and the real-time load is normal, the adjustment is terminated; if the real-time load is still abnormal, the real-time pressure of the mixer chamber is reduced, and the real-time load is traced again. If the real-time pressure is adjusted to the lowest value of the corresponding reference range and the real-time load is normal, the adjustment is terminated; if the real-time load is still abnormal, an alarm is issued, and the alarm content is abnormal load;

[0086] The parameter processing module is also connected to an alarm unit for determining, based on the invalid secondary adjustment tag, that an operating parameter corresponding to the target value is abnormal and giving an alarm.

[0087] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A control system for an internal mixer based on a servo hydraulic station, characterized in that: It includes equipment module, data storage module, parameter monitoring module and parameter processing module; The equipment module includes a mixer chamber, a heating mechanism, a stirring rotor and an upper push bolt, wherein the mixer rotor is used to stir the rubber material, and the upper push bolt of the mixer is used to seal and pressurize the rubber material; A data storage module, used to store historical mixing data; Parameter monitoring module, used to monitor the operating parameters in the internal mixer; Parameter processing module, including analysis unit and control unit; An analysis unit is used to analyze historical mixing data, obtain analysis results, and determine whether there are abnormalities in the operating parameters of the equipment module based on the analysis results; The control unit is used to adjust the operating parameters.

2. According to claim 1, a control system for an internal mixer based on a servo hydraulic station is characterized in that: The parameter monitoring module includes a pressure sensor, a temperature sensor and a load monitor; A pressure sensor is arranged in the mixer chamber to obtain the real-time pressure inside the mixer; A temperature sensor is arranged in the mixer chamber to obtain the real-time temperature inside the mixer; A load monitoring unit is provided in the control system and is used to obtain the real-time load of the internal mixer; Real-time pressure, real-time temperature and real-time load are all operating parameters of the equipment module.

3. According to claim 2, a control system for an internal mixer based on a servo hydraulic station is characterized in that: Methods for data analysis of historical mixing data include: S10, dividing the historical mixing data to establish an effective mixing data set; S20, analyzing the effective mixing data set, determining a plurality of reference curves, combining the plurality of reference curves, and establishing a curve set of the effective mixing data set; S30. Perform curve analysis on several reference curves in the curve set to determine a characteristic range curve of the curve set.

4. According to claim 3, a control system for an internal mixer based on a servo hydraulic station is characterized in that: The method to determine whether there is an abnormality in the operating parameters of the equipment module is: Obtain the real-time temperature, real-time pressure, real-time load and mixing time of the mixer chamber and use them as the operating parameters of the equipment module to build an operating parameter set; The real-time temperature, real-time pressure, and real-time load are respectively used as the first characteristic ordinate, the second characteristic ordinate, and the third characteristic ordinate, and the mixing time is used as the characteristic abscissa. The characteristic ordinates are operated as follows in sequence: Establish characteristic coordinate points according to characteristic ordinates and characteristic abscissas, establish characteristic proposal models according to whether the characteristic coordinate points belong to corresponding characteristic range curves, calculate characteristic values ​​of characteristic coordinate points through characteristic proposal models, judge whether there are abnormalities in the operating parameter set according to the characteristic values, and decide whether to adjust the operating parameters.

5. The internal mixer control system based on a servo hydraulic station according to claim 4, characterized in that: The expression of the feature proposed model is: λ is the eigenvalue; If there is any characteristic coordinate point with a characteristic value of -1, the ordinate corresponding to the characteristic coordinate point is marked as an abnormal value, and the operating parameter corresponding to the abnormal value is judged to be abnormal; otherwise, the operating parameter is judged to be normal.

6. The internal mixer control system based on a servo hydraulic station according to claim 5, characterized in that: The method to decide whether to adjust the operating parameters is: If there is an abnormality in the operating parameters, the characteristic values ​​of the characteristic coordinate points are traversed, and the characteristic coordinate points with characteristic values ​​of -1 are marked as target coordinate points, and the operating parameters corresponding to the ordinates of the target coordinate points are marked as target parameters, and the operating parameters corresponding to the ordinates of the two characteristic coordinate points with characteristic values ​​of 1 are randomly marked as the first adjustment parameter and the second adjustment parameter; The first adjustment parameter is adjusted once, and the characteristic value of the target coordinate point is traced once. If the characteristic value of the target coordinate point is 1, the adjustment is determined to be valid and an adjustment valid label is generated; otherwise, the adjustment is determined to be invalid and an adjustment invalid label is generated.

7. The internal mixer control system based on a servo hydraulic station according to claim 6, characterized in that: According to the invalid label of the first adjustment, the second adjustment parameter is adjusted for the second time, and the characteristic value of the target coordinate point is traced for the second time. If the characteristic value of the target coordinate point is 1, the second adjustment is determined to be valid, and a valid label of the first adjustment is generated; otherwise, the second adjustment is determined to be invalid, and a second adjustment invalid label is generated; The adjustment is terminated according to any adjustment valid tag, and the operation parameters of the equipment module are monitored according to the sampling period to see if there are any abnormalities.

8. The internal mixer control system based on a servo hydraulic station according to claim 7, characterized in that: The parameter processing module is also connected to an alarm unit for determining, based on the invalid secondary adjustment tag, that an operating parameter corresponding to the target value is abnormal and giving an alarm.

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