CN113290222A - Automatic control method and system for temperature of inner cavity of vacuum horizontal continuous casting crystallizer - Google Patents
Automatic control method and system for temperature of inner cavity of vacuum horizontal continuous casting crystallizer Download PDFInfo
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- CN113290222A CN113290222A CN202110604069.5A CN202110604069A CN113290222A CN 113290222 A CN113290222 A CN 113290222A CN 202110604069 A CN202110604069 A CN 202110604069A CN 113290222 A CN113290222 A CN 113290222A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B22—CASTING; POWDER METALLURGY
- B22D—CASTING OF METALS; CASTING OF OTHER SUBSTANCES BY THE SAME PROCESSES OR DEVICES
- B22D11/00—Continuous casting of metals, i.e. casting in indefinite lengths
- B22D11/16—Controlling or regulating processes or operations
- B22D11/22—Controlling or regulating processes or operations for cooling cast stock or mould
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B22—CASTING; POWDER METALLURGY
- B22D—CASTING OF METALS; CASTING OF OTHER SUBSTANCES BY THE SAME PROCESSES OR DEVICES
- B22D11/00—Continuous casting of metals, i.e. casting in indefinite lengths
- B22D11/04—Continuous casting of metals, i.e. casting in indefinite lengths into open-ended moulds
- B22D11/055—Cooling the moulds
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Abstract
The invention relates to a method and a system for automatically controlling the temperature of an inner cavity of a vacuum horizontal continuous casting crystallizer, wherein the control method comprises the following steps: collecting actual values of the working state parameters of the crystallizer of the current sampling point; the working state parameters of the crystallizer comprise the temperature of metal liquid at the inlet of the crystallizer, the temperature of cooling water at the water inlet of the crystallizer, the flow rate of cooling water of the crystallizer and the temperature of the tail end of the crystallizer; determining the variation of the flow rate of cooling water of the crystallizer, which enables the actual value of the temperature of the tail end of the crystallizer to reach the target value of the temperature of the tail end of the crystallizer, according to a regression equation representing the relationship between the temperature of the tail end of the crystallizer and the temperature of metal liquid at the inlet of the crystallizer, the temperature of the cooling water at the water inlet of the crystallizer and the flow rate of the cooling water of the crystallizer; and controlling the cooling water flow rate of the crystallizer according to the variable quantity of the cooling water flow rate of the crystallizer. The invention realizes the automatic and accurate control of the crystallizer tail end temperature by adopting a regression equation according to the actual value of the working state parameter of the crystallizer.
Description
Technical Field
The invention relates to the technical field of automatic control, in particular to a method and a system for automatically controlling the temperature of an inner cavity of a vacuum horizontal continuous casting crystallizer.
Background
The material of the inner cavity of the crystallizer which is a core component of the vacuum horizontal continuous casting equipment is graphite, the copper cooling water jacket is wrapped outside, the temperature at the tail end of the crystallizer is highly related to the quality of a cast metal blank product in the horizontal continuous casting production process, and how to realize the automatic and accurate control of the temperature at the tail end of the crystallizer becomes a technical problem to be solved urgently.
Disclosure of Invention
The invention aims to provide a method and a system for automatically controlling the temperature of an inner cavity of a vacuum horizontal continuous casting crystallizer so as to realize automatic and accurate control of the temperature of the tail end of the crystallizer.
In order to achieve the purpose, the invention provides the following scheme:
the invention provides a method for automatically controlling the temperature of an inner cavity of a vacuum horizontal continuous casting crystallizer, which comprises the following steps:
collecting actual values of the working state parameters of the crystallizer of the current sampling point; the working state parameters of the crystallizer comprise the temperature of metal liquid at the inlet of the crystallizer, the temperature of cooling water at the water inlet of the crystallizer, the flow rate of cooling water of the crystallizer and the temperature of the tail end of the crystallizer;
determining the variation of the flow rate of cooling water of the crystallizer, which enables the actual value of the temperature of the tail end of the crystallizer to reach the target value of the temperature of the tail end of the crystallizer, according to a regression equation representing the relationship between the temperature of the tail end of the crystallizer and the temperature of metal liquid at the inlet of the crystallizer, the temperature of the cooling water at the water inlet of the crystallizer and the flow rate of the cooling water of the crystallizer;
and controlling the cooling water flow rate of the crystallizer according to the variable quantity of the cooling water flow rate of the crystallizer.
Optionally, the controlling the cooling water flow rate of the crystallizer according to the crystallizer cooling water flow rate variation further includes:
judging whether the next sampling point arrives or not to obtain a first judgment result;
and if the first judgment result shows that the sampling point is the sampling point, taking the next sampling point as the current sampling point, and returning to the step of collecting the actual value of the working state parameter of the crystallizer of the current sampling point.
Optionally, the controlling the cooling water flow rate of the crystallizer according to the crystallizer cooling water flow rate variation further includes:
judging whether the regression equation updating condition is met or not to obtain a second judgment result;
and if the second judgment result shows that the time point is positive, the regression equation is determined again according to the crystallizer working state parameters of the multiple sampling points in the preset time period before the time point of the regression equation updating.
Optionally, the condition for updating the regression equation includes that an absolute value of a difference between an actual value of the temperature at the end of the crystallizer and a calculated value of the temperature at the end of the crystallizer calculated by using the regression equation is greater than a deviation threshold.
Optionally, acquiring the actual value of the working state parameter of the crystallizer at the current sampling point specifically includes:
obtaining an actual temperature value of molten metal at the inlet of the crystallizer through a first temperature sensor arranged in a molten metal diversion trench at the front end of the crystallizer;
acquiring an actual temperature value of the tail end of the crystallizer through a second temperature sensor arranged at an outlet of a metal rod at the tail end of the crystallizer;
acquiring an actual value of the temperature of cooling water at the water inlet of the crystallizer through a third temperature sensor arranged at the water inlet of the crystallizer;
and obtaining the actual value of the cooling water flow rate of the crystallizer through a flow rate sensor arranged at a water inlet of the crystallizer.
Optionally, the regression equation is:
T＝aX1+bX2-cX3+d
wherein T represents a mold end temperature, X1, X2, and X3 represent a mold inlet metal liquid temperature, a mold inlet cooling water temperature, and a mold cooling water flow rate, respectively, a, b, and c represent regression coefficients of the mold inlet metal liquid temperature, the mold inlet cooling water temperature, and the mold cooling water flow rate, respectively, and d represents a constant term.
Optionally, the determining, according to a regression equation representing a relationship between the crystallizer tail end temperature and the temperature of the metal liquid at the inlet of the crystallizer, the temperature of the cooling water at the inlet of the crystallizer, and the flow rate of the cooling water of the crystallizer, a variation of the flow rate of the cooling water of the crystallizer, which enables the actual value of the crystallizer tail end temperature to reach the target value of the crystallizer tail end temperature, specifically includes:
determining the variation of the flow rate of cooling water of the crystallizer, which enables the actual value of the temperature at the tail end of the crystallizer to reach the target value of the temperature at the tail end of the crystallizer, according to a regression equation by using a formula delta X3 ═ (T-T) ÷ c;
where Δ X3 represents a variation in the flow rate of the cooling water of the crystallizer, c represents a regression coefficient of the flow rate of the cooling water of the crystallizer, T denotes a target value of the temperature at the end of the crystallizer, and T denotes an actual value of the temperature at the end of the crystallizer.
An automatic control system for the temperature of an inner cavity of a vacuum horizontal continuous casting crystallizer is applied to the control method, and comprises the following steps: the control system includes: the system comprises a first temperature sensor, a second temperature sensor, a third temperature sensor, a flow velocity sensor and a PLC (programmable logic controller);
the first temperature sensor is arranged in a molten metal diversion trench at the front end of the crystallizer, the second temperature sensor is arranged at a metal rod outlet at the tail end of the crystallizer, and the third temperature sensor and the flow velocity sensor are both arranged at a water inlet of the crystallizer;
the first temperature sensor, the second temperature sensor, the third temperature sensor and the flow rate sensor are respectively connected with the PLC;
the PLC is connected with the control end of an electric control throttle valve provided with a crystallizer water inlet;
the PLC is used for determining the variation of the flow rate of cooling water of the crystallizer, which enables the actual value of the temperature of the tail end of the crystallizer to reach the target value of the temperature of the tail end of the crystallizer, according to a regression equation representing the relationship between the temperature of the tail end of the crystallizer and the temperature of metal liquid at the inlet of the crystallizer, the temperature of the cooling water at the water inlet of the crystallizer and the flow rate of the cooling water of the crystallizer; and controlling the cooling water flow rate of the crystallizer according to the variable quantity of the cooling water flow rate of the crystallizer.
Optionally, the control system further includes an edge computing server;
the edge computing server is connected with the PLC through a data gateway;
the PLC is used for uploading the actual values of the working state parameters of the crystallizer to the edge calculation server in real time;
and the edge calculation server is used for storing the actual values of the working state parameters of the crystallizer, re-determining the regression equation according to the working state parameters of the crystallizer at multiple sampling points in a preset time period before the time point of the regression equation update when the conditions of updating the regression equation are met, sending the re-determined regression direction to the PLC, and replacing the regression equation used in the PLC.
Optionally, the condition for updating the regression equation includes that an absolute value of a difference between an actual value of the temperature at the end of the crystallizer and a calculated value of the temperature at the end of the crystallizer calculated by using the regression equation is greater than a deviation threshold.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
the invention discloses a method for automatically controlling the temperature of an inner cavity of a vacuum horizontal continuous casting crystallizer, which comprises the following steps: collecting actual values of the working state parameters of the crystallizer of the current sampling point; the working state parameters of the crystallizer comprise the temperature of metal liquid at the inlet of the crystallizer, the temperature of cooling water at the water inlet of the crystallizer, the flow rate of cooling water of the crystallizer and the temperature of the tail end of the crystallizer; determining the variation of the flow rate of cooling water of the crystallizer, which enables the actual value of the temperature of the tail end of the crystallizer to reach the target value of the temperature of the tail end of the crystallizer, according to a regression equation representing the relationship between the temperature of the tail end of the crystallizer and the temperature of metal liquid at the inlet of the crystallizer, the temperature of the cooling water at the water inlet of the crystallizer and the flow rate of the cooling water of the crystallizer; and controlling the cooling water flow rate of the crystallizer according to the variable quantity of the cooling water flow rate of the crystallizer. The invention realizes the automatic and accurate control of the crystallizer tail end temperature by adopting a regression equation according to the actual value of the working state parameter of the crystallizer.
The invention also determines the regression equation again according to the historical collected data when the updating condition of the regression equation is met, so as to further ensure the accuracy of the regression equation and further ensure the accuracy in the automatic control process.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
FIG. 1 is a flow chart of a method for automatically controlling the temperature of an inner cavity of a vacuum horizontal continuous casting crystallizer provided by the invention;
fig. 2 is a structural diagram of an automatic control system for the temperature of an inner cavity of a vacuum horizontal continuous casting crystallizer provided by the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention aims to provide a method and a system for automatically controlling the temperature of an inner cavity of a vacuum horizontal continuous casting crystallizer so as to realize automatic and accurate control of the temperature of the tail end of the crystallizer.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
As shown in fig. 1, the present invention provides a method for automatically controlling the temperature of an inner cavity of a vacuum horizontal continuous casting crystallizer, wherein the method comprises the following steps:
And step 102, determining the variation of the flow rate of cooling water of the crystallizer, which enables the actual value of the temperature of the tail end of the crystallizer to reach the target value of the temperature of the tail end of the crystallizer, according to a regression equation representing the relationship between the temperature of the tail end of the crystallizer and the temperature of metal liquid at the inlet of the crystallizer, the temperature of the cooling water at the water inlet of the crystallizer and the flow rate of the.
The regression equation is:
T＝aX1+bX2-cX3+d
wherein T represents the crystallizer tail end temperature, X1、X2And X3Respectively representing the temperature of a metal liquid at the inlet of the crystallizer, the temperature of cooling water at the inlet of the crystallizer and the flow rate of the cooling water at the inlet of the crystallizer, a, b and c respectively representing the regression coefficients of the temperature of the metal liquid at the inlet of the crystallizer, the temperature of the cooling water at the inlet of the crystallizer and the flow rate of the cooling water at the inlet of the crystallizer, and d representing a constant term.
And 103, controlling the cooling water flow rate of the crystallizer according to the cooling water flow rate variation of the crystallizer.
In the actual production process, the heat conduction condition of the crystallizer including the cooling water jacket changes due to working condition changes such as abrasion of the crystallizer, replacement of a new crystallizer, aging of a cooling water jacket pipeline of the crystallizer, scaling of an inner pipe wall and the like, and at the moment, the original regression equation is not applicable any more. Therefore, a new regression equation needs to be obtained by analyzing the new production process data, specifically:
The specific embodiment of the step of determining the regression equation is as follows:
a temperature sensor is additionally arranged on a molten metal diversion trench at the front end of the crystallizer so as to obtain the temperature of molten metal before the molten metal enters the crystallizer in real time.
A temperature sensor is additionally arranged at a metal rod leading-out opening at the tail end of the crystallizer so as to obtain the temperature of the metal rod just led out of the crystallizer in real time.
Adjusting different flow rates, and acquiring real-time data of the water inlet temperature of the cooling water of the crystallizer and the flow rate of the cooling water.
The four data at each time point are matched according to the data acquisition time to form a data set shown in table 1.
TABLE 1 data set
Performing correlation analysis on the data set by adopting a machine learning method to obtain a regression equation of the crystallizer tail end temperature (metal rod outlet temperature), the crystallizer inlet metal liquid temperature, the cooling water temperature and the cooling water flow rate, wherein the regression equation comprises the following steps:
T＝0.225X1+1.067X2-12.235X3+4.236
wherein T is the crystallizer tail end temperature, X1For the temperature of the metal liquid at the inlet of the crystallizer, X2The water inlet temperature of cooling water of the crystallizer, X3The cooling water flow rate of the crystallizer.
The method for acquiring the actual value of the working state parameter of the crystallizer at the current sampling point specifically comprises the following steps: obtaining an actual temperature value of molten metal at the inlet of the crystallizer through a first temperature sensor arranged in a molten metal diversion trench at the front end of the crystallizer; acquiring an actual temperature value of the tail end of the crystallizer through a second temperature sensor arranged at an outlet of a metal rod at the tail end of the crystallizer; acquiring an actual value of the temperature of cooling water at the water inlet of the crystallizer through a third temperature sensor arranged at the water inlet of the crystallizer; and obtaining the actual value of the cooling water flow rate of the crystallizer through a flow rate sensor arranged at a water inlet of the crystallizer.
As shown in fig. 2, the present invention further provides an automatic control system for the temperature of the inner cavity of the vacuum horizontal continuous casting crystallizer, wherein the control system is applied to the control method, and the control system comprises: the control system includes: the system comprises a first temperature sensor, a second temperature sensor, a third temperature sensor, a flow velocity sensor and a PLC (programmable logic controller); the first temperature sensor is arranged in a molten metal diversion trench at the front end of the crystallizer, the second temperature sensor is arranged at a metal rod outlet at the tail end of the crystallizer, and the third temperature sensor and the flow velocity sensor are both arranged at a water inlet of the crystallizer; the first temperature sensor, the second temperature sensor, the third temperature sensor and the flow rate sensor are respectively connected with the PLC; the PLC is connected with the control end of an electric control throttle valve provided with a crystallizer water inlet; the PLC is used for determining the variation of the flow rate of cooling water of the crystallizer, which enables the actual value of the temperature of the tail end of the crystallizer to reach the target value of the temperature of the tail end of the crystallizer, according to a regression equation representing the relationship between the temperature of the tail end of the crystallizer and the temperature of metal liquid at the inlet of the crystallizer, the temperature of the cooling water at the water inlet of the crystallizer and the flow rate of the cooling water of the crystallizer; and controlling the cooling water flow rate of the crystallizer according to the variable quantity of the cooling water flow rate of the crystallizer.
In the production process, a digital sampling controller (PLC) is adopted to automatically control the temperature of the tail end of the crystallizer. Namely, the temperature of the metal rod at the actual outlet and the temperature of the metal rod at the set outlet are collected, and a formula delta X is adopted3And (T-T) ÷ c determines a control quantity, and an electric control throttle valve is used as a control execution element of the cooling water flow rate to adjust the cooling water flow rate of the crystallizer, so that the automatic control of the tail end temperature of the crystallizer is realized.
In the actual production process, the heat conduction condition of the crystallizer including the cooling water jacket changes due to working condition changes such as abrasion of the crystallizer, replacement of a new crystallizer, aging of a cooling water jacket pipeline of the crystallizer, scaling of an inner pipe wall and the like, and at the moment, the original regression equation is not applicable any more. Therefore, a new regression equation needs to be obtained by re-analyzing the new production process data.
The invention is provided with an edge computing server, the edge computing server is connected with a PLC controller through a data gateway, the PLC controller stores collected data into a database of the edge computing server, a machine learning regression analysis program is deployed into the edge computing server, and 11: starting to perform regression analysis on the data acquired in a single day to obtain a regression equation, and replacing and updating the original regression equation by using the regression equation, wherein the method specifically comprises the following steps:
the control system further comprises an edge computing server; the edge computing server is connected with the PLC through a data gateway; the PLC is used for uploading the actual values of the working state parameters of the crystallizer to the edge calculation server in real time; and the edge calculation server is used for storing the actual values of the working state parameters of the crystallizer, re-determining the regression equation according to the working state parameters of the crystallizer at multiple sampling points in a preset time period before the time point of the regression equation update when the conditions of updating the regression equation are met, sending the re-determined regression direction to the PLC, and replacing the regression equation used in the PLC. The regression equation updating condition comprises that the absolute value of the difference value between the actual value of the crystallizer tail end temperature and the calculated value of the crystallizer tail end temperature calculated by utilizing the regression equation is larger than the deviation threshold value.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
the invention discloses a method for automatically controlling the temperature of an inner cavity of a vacuum horizontal continuous casting crystallizer, which comprises the following steps: collecting actual values of the working state parameters of the crystallizer of the current sampling point; the working state parameters of the crystallizer comprise the temperature of metal liquid at the inlet of the crystallizer, the temperature of cooling water at the water inlet of the crystallizer, the flow rate of cooling water of the crystallizer and the temperature of the tail end of the crystallizer; determining the variation of the flow rate of cooling water of the crystallizer, which enables the actual value of the temperature of the tail end of the crystallizer to reach the target value of the temperature of the tail end of the crystallizer, according to a regression equation representing the relationship between the temperature of the tail end of the crystallizer and the temperature of metal liquid at the inlet of the crystallizer, the temperature of the cooling water at the water inlet of the crystallizer and the flow rate of the cooling water of the crystallizer; and controlling the cooling water flow rate of the crystallizer according to the variable quantity of the cooling water flow rate of the crystallizer. The invention realizes the automatic and accurate control of the crystallizer tail end temperature by adopting a regression equation according to the actual value of the working state parameter of the crystallizer.
The invention also determines the regression equation again according to the historical collected data when the updating condition of the regression equation is met, so as to further ensure the accuracy of the regression equation and further ensure the accuracy in the automatic control process.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
The principles and embodiments of the present invention have been described herein using specific examples, which are provided only to help understand the method and the core concept of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In view of the above, the present disclosure should not be construed as limiting the invention.
Claims (10)
1. An automatic control method for the temperature of an inner cavity of a vacuum horizontal continuous casting crystallizer is characterized by comprising the following steps:
collecting actual values of the working state parameters of the crystallizer of the current sampling point; the working state parameters of the crystallizer comprise the temperature of metal liquid at the inlet of the crystallizer, the temperature of cooling water at the water inlet of the crystallizer, the flow rate of cooling water of the crystallizer and the temperature of the tail end of the crystallizer;
determining the variation of the flow rate of cooling water of the crystallizer, which enables the actual value of the temperature of the tail end of the crystallizer to reach the target value of the temperature of the tail end of the crystallizer, according to a regression equation representing the relationship between the temperature of the tail end of the crystallizer and the temperature of metal liquid at the inlet of the crystallizer, the temperature of the cooling water at the water inlet of the crystallizer and the flow rate of the cooling water of the crystallizer;
and controlling the cooling water flow rate of the crystallizer according to the variable quantity of the cooling water flow rate of the crystallizer.
2. The method for automatically controlling the temperature of the inner cavity of the vacuum horizontal continuous casting crystallizer according to claim 1, wherein the method for controlling the cooling water flow rate of the crystallizer according to the variation of the cooling water flow rate of the crystallizer further comprises the following steps:
judging whether the next sampling point arrives or not to obtain a first judgment result;
and if the first judgment result shows that the sampling point is the sampling point, taking the next sampling point as the current sampling point, and returning to the step of collecting the actual value of the working state parameter of the crystallizer of the current sampling point.
3. The method for automatically controlling the temperature of the inner cavity of the vacuum horizontal continuous casting crystallizer according to claim 1, wherein the method for controlling the cooling water flow rate of the crystallizer according to the variation of the cooling water flow rate of the crystallizer further comprises the following steps:
judging whether the regression equation updating condition is met or not to obtain a second judgment result;
and if the second judgment result shows that the time point is positive, the regression equation is determined again according to the crystallizer working state parameters of the multiple sampling points in the preset time period before the time point of the regression equation updating.
4. The method for automatically controlling the temperature of the inner cavity of the vacuum horizontal continuous casting mold according to claim 3, wherein the regression equation update condition comprises that the absolute value of the difference between the actual value of the temperature at the end of the mold and the calculated value of the temperature at the end of the mold calculated by using the regression equation is greater than a deviation threshold value and/or the update time point of the regression equation is reached.
5. The method for automatically controlling the temperature of the inner cavity of the vacuum horizontal continuous casting crystallizer according to claim 1, wherein the step of collecting the actual value of the working state parameter of the crystallizer at the current sampling point specifically comprises the following steps:
obtaining an actual temperature value of molten metal at the inlet of the crystallizer through a first temperature sensor arranged in a molten metal diversion trench at the front end of the crystallizer;
acquiring an actual temperature value of the tail end of the crystallizer through a second temperature sensor arranged at an outlet of a metal rod at the tail end of the crystallizer;
acquiring an actual value of the temperature of cooling water at the water inlet of the crystallizer through a third temperature sensor arranged at the water inlet of the crystallizer;
and obtaining the actual value of the cooling water flow rate of the crystallizer through a flow rate sensor arranged at a water inlet of the crystallizer.
6. The method for automatically controlling the temperature of the inner cavity of the vacuum horizontal continuous casting crystallizer according to claim 1, wherein the regression equation is as follows:
T＝aX1+bX2-cX3+d
wherein T represents the crystallizer tail end temperature, X1、X2And X3Respectively representing the temperature of a metal liquid at the inlet of the crystallizer, the temperature of cooling water at the inlet of the crystallizer and the flow rate of the cooling water at the inlet of the crystallizer, a, b and c respectively representing the regression coefficients of the temperature of the metal liquid at the inlet of the crystallizer, the temperature of the cooling water at the inlet of the crystallizer and the flow rate of the cooling water at the inlet of the crystallizer, and d representing a constant term.
7. The method according to claim 1, wherein the determining the variation of the flow rate of the cooling water in the crystallizer for making the actual value of the temperature at the end of the crystallizer reach the target value of the temperature at the end of the crystallizer according to the regression equation representing the relationship between the temperature at the end of the crystallizer and the temperature of the metal liquid at the inlet of the crystallizer, the temperature of the cooling water at the inlet of the crystallizer, and the flow rate of the cooling water in the crystallizer specifically comprises:
from the regression equation, using the formula Δ X3＝(T*-T) ÷ c, determining the crystallizer cooling water flow rate variation that brings the actual value of the crystallizer terminal temperature to the target value of the crystallizer terminal temperature;
wherein, Delta X3Representing the variation of the cooling water flow rate of the crystallizer, c representing the regression coefficient of the cooling water flow rate of the crystallizer, T*The target value of the temperature at the tail end of the crystallizer is shown, and T is the actual value of the temperature at the tail end of the crystallizer.
8. An automatic control system for the temperature of an inner cavity of a vacuum horizontal continuous casting crystallizer, which is applied to the control method of any one of claims 1 to 7 and comprises: the system comprises a first temperature sensor, a second temperature sensor, a third temperature sensor, a flow velocity sensor and a PLC (programmable logic controller);
the first temperature sensor is arranged in a molten metal diversion trench at the front end of the crystallizer, the second temperature sensor is arranged at a metal rod outlet at the tail end of the crystallizer, and the third temperature sensor and the flow velocity sensor are both arranged at a water inlet of the crystallizer;
the first temperature sensor, the second temperature sensor, the third temperature sensor and the flow rate sensor are respectively connected with the PLC;
the PLC is connected with the control end of an electric control throttle valve provided with a crystallizer water inlet;
the PLC is used for determining the variation of the flow rate of cooling water of the crystallizer, which enables the actual value of the temperature of the tail end of the crystallizer to reach the target value of the temperature of the tail end of the crystallizer, according to a regression equation representing the relationship between the temperature of the tail end of the crystallizer and the temperature of metal liquid at the inlet of the crystallizer, the temperature of the cooling water at the water inlet of the crystallizer and the flow rate of the cooling water of the crystallizer; and controlling the cooling water flow rate of the crystallizer according to the variable quantity of the cooling water flow rate of the crystallizer.
9. The automatic control system for the temperature of the inner cavity of the vacuum horizontal continuous casting crystallizer according to claim 8, wherein the control system further comprises an edge calculation server;
the edge computing server is connected with the PLC through a data gateway;
the PLC is used for uploading the actual values of the working state parameters of the crystallizer to the edge calculation server in real time;
and the edge calculation server is used for storing the actual values of the working state parameters of the crystallizer, re-determining the regression equation according to the working state parameters of the crystallizer at multiple sampling points in a preset time period before the time point of the regression equation update when the conditions of updating the regression equation are met, sending the re-determined regression direction to the PLC, and replacing the regression equation used in the PLC.
10. The system for automatically controlling the temperature of the inner cavity of the vacuum horizontal continuous casting crystallizer according to claim 9, wherein the regression equation updating condition comprises that the absolute value of the difference between the actual value of the temperature at the end of the crystallizer and the calculated value of the temperature at the end of the crystallizer calculated by using the regression equation is greater than a deviation threshold value and/or the updating time point of the regression equation is reached.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2006328431A (en) * | 2005-05-23 | 2006-12-07 | Jfe Steel Kk | Method for deciding finish temperature in vacuum degassing treatment |
| CN101984348A (en) * | 2010-10-19 | 2011-03-09 | 东北大学 | Determination method of copperplate heat flux based on mass balance and heat balance continuous casting mould |
| CN101983800A (en) * | 2010-11-17 | 2011-03-09 | 中冶南方工程技术有限公司 | Secondary cooling water distribution advanced control method for billet continuous casting machine |
| CN102059333A (en) * | 2010-11-17 | 2011-05-18 | 中冶南方工程技术有限公司 | Advanced secondary cooling water control system of billet continuous casting machine |
| CN103192048A (en) * | 2013-04-07 | 2013-07-10 | 北京科技大学 | Continuous casting slab solidification cooling process analogy method based on precise thermophysical parameters |
| CN110666126A (en) * | 2019-10-09 | 2020-01-10 | 中国重型机械研究院股份公司 | System and method for stabilizing convection heat exchange coefficient of crystallizer copper plate cooling water |
-
2021
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Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2006328431A (en) * | 2005-05-23 | 2006-12-07 | Jfe Steel Kk | Method for deciding finish temperature in vacuum degassing treatment |
| CN101984348A (en) * | 2010-10-19 | 2011-03-09 | 东北大学 | Determination method of copperplate heat flux based on mass balance and heat balance continuous casting mould |
| CN101983800A (en) * | 2010-11-17 | 2011-03-09 | 中冶南方工程技术有限公司 | Secondary cooling water distribution advanced control method for billet continuous casting machine |
| CN102059333A (en) * | 2010-11-17 | 2011-05-18 | 中冶南方工程技术有限公司 | Advanced secondary cooling water control system of billet continuous casting machine |
| CN103192048A (en) * | 2013-04-07 | 2013-07-10 | 北京科技大学 | Continuous casting slab solidification cooling process analogy method based on precise thermophysical parameters |
| CN110666126A (en) * | 2019-10-09 | 2020-01-10 | 中国重型机械研究院股份公司 | System and method for stabilizing convection heat exchange coefficient of crystallizer copper plate cooling water |
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