CN105695728A - Devices and method of online steel plate solution treatment process control system - Google Patents
Devices and method of online steel plate solution treatment process control system Download PDFInfo
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Abstract
The invention provides devices and method of an online steel plate solution treatment process control system, and belongs to the field of control. The devices are composed of the measuring and controlling device and the calculating device. According to the measuring and controlling device, multiple temperature sensors, a first metal detector, a second metal detector, a third metal detector and plate shape monitoring equipment are mounted in different positions of an online solution treatment production line; real-time accurate data acquisition of a steel plate is achieved through the sensors, the detectors, the plate shape monitoring equipment and a data acquisition device. The calculating device is composed of a pre-calculation module, an online calculation module and a post-calculation module, wherein the pre-calculation module achieves preset functions of the solution treatment process, the online calculation module is used for conducting optimization solution in the solution treatment process, and the post-calculation module achieves adapting and learning functions. The devices of the online steel plate solution treatment process control system are used for achieving full-automatic control production of online solution treatment products and meet the technological requirements for temperature control precision, plate surface temperature uniformity, the plate shape and the like of the products.
Description
Technical field
The present invention relates to control field, particularly relate to steel plate and roll the process control during rear on-line solution processes。
Background technology
Solution heat treatment refers to that alloy is heated to high temperature monophase field constant temperature to be kept, and quickly cooling after making surplus fully be dissolved in solid solution mutually, to obtain the Technology for Heating Processing of supersaturated solid solution。
The traditional solution heat treatment of steel plate is to adopt the Equipment for Heating Processing separated with milling train to carry out off-line heat treatment, it is necessary to quickly cool down after reheating。This production technology not only increases equipment investment, and operation is various, and the production cycle is long, causes that steel product cost increases, and can not meet large batch of fast pace and produces, greatly constrains the raising of economic benefit。
And on-line solution process is the waste heat after utilizing steel hot rolling, control the rate of cooling after steel rolling, make temperature changing process closer to the heat treated temperature drop process of off-line, reaching same or like steel tissue and performance, its cooling procedure is also commonly referred to as the cooling of steel plate On-line Control or direct quenching。
The cooling of steel plate On-line Control and quenching are the cooling technologies quickly grown since the eighties in last century, but owing to there is the problems such as steel plate cooling uniformity and Strip Shape Control, its potential ability is not fully exerted always。
The final cooling temperature that solution heat treatment requires is low, and cooldown rate is high, the even skewness easily causing steel plate built-in thermal stress and structural stress of the inhomogeneous cooling of steel plate width direction, length direction and upper and lower surface so that deformed steel strip after cooling。And roll rear steel plate itself exist flatness defect and temperature distributing disproportionation even so that on-line solution process Strip Shape Control more difficult。
Therefore, solid solution temperature, cooling rate and plate shape multi objective control, be on-line solution processing procedure control system be different from tradition roller repairing control system key technical problem。
Chinese invention patent application CN101134998A discloses a kind of control system accelerating cooling procedure and control method。Control system that this patent relates to and control method, it is contemplated that the disturbance factor of cooled region entrance steel plate and control target call, be set for dynamic adjustment to cooling control, in order to satisfied production to controlling the requirement of temperature aspect in cooling procedure。This patent does not account for producing controlling the requirement of plate shape aspect in cooling procedure, it does not have propose control system for the device of Strip Shape Control aspect or method。
Chinese invention patent application CN102399950A discloses the control method of a kind of medium plate quenching technology。This patent relates to calculating about the model of quenching policy development, parameters of quenching in medium plate quenching technology control method and the aspect such as formulation of quenching code, pays close attention to the factor of the aspects such as the temperature drop of quenching process light plate, cooling rate and structure property。This patent does not account for producing the requirement of plate shape aspect in quenching process, it does not have propose control system for the device of Strip Shape Control aspect or method。
Chinese invention patent application CN101406902A discloses a kind of control method of hot-rolled steel sheet water-cooling plate。This Patent design is accelerated the heat transfer characteristic in cooling procedure by hot rolled steel plate and change in volume feature determines upper and lower water ratio and shield parameter end to end, makes steel plate upper and lower surface water-cooled uniform, it is possible to effectively to solve steel plate wooden dipper Qu Wenti。This patent is a kind of modification method according to cooling back plate shape, does not have corresponding control device for Cooling Process steel plate deformed, and it is also more single that the water yield adjusts means。This patent does not propose control system for the device of Strip Shape Control aspect or method。
In sum, propose a lot of very distinctive design and application achievements both at home and abroad for roller repairing Process Control System, also achieve good effect for solving some particular problems。But, in these achievements, a part is to pay close attention to solve the control problem of temperature factor in tradition roller repairing process, it does not have consider the control problem of plate shape factor in cooling procedure；Another part then manually and empirical method, the control problem of plate shape factor in static consideration cooling procedure。All cannot solve the control requirement in on-line solution processing procedure control system, to solid solution temperature, cooling rate and plate shape multi objective control at all。On-line solution cannot be realized and process the Automatic Control productive target of product。
Summary of the invention
The technical problem to be solved is to provide a kind of steel plate on-line solution processing procedure and controls the device and method of system, its on-line solution processing procedure controls system and device and is made up of measure and control device and calculation element two parts, it can solve in on-line solution processing procedure, to multiobject control problems such as the solid solution temperature of product, cooling rate and plate shapes, realize on-line solution and process the Automatic Control production of product, meet product technological requirement in temperature control precision, plate surface temperature uniformity and plate shape etc.。
The technical scheme is that the device providing a kind of steel plate on-line solution processing procedure to control system, it is characterized in that:
Described on-line solution processing procedure controls the device of system and is made up of measure and control device and calculation element two parts；
Wherein, described measure and control device is mounted with multiple temperature sensor, the first to the 3rd metal detector and plate shape monitoring equipment on the diverse location of on-line solution process for producing line；Equipment, data acquisition unit, it is achieved the real time data accurate acquisition to steel plate is monitored by the sensor these described, detector and plate shape；
Temperature sensor therein is for collecting the actual measurement finishing temperature of steel plate, and plate shape monitoring equipment is used for collecting steel plate and rolls rear actual plate graphic data, and the first to the 3rd metal detector is for exciting the enabling signal of precalculation module；Temperature sensor before cooling zone opens cold temperature for the actual measurement collecting steel plate, and metal detector is for exciting the enabling signal of online computing module；Temperature sensor behind cooling zone is in the actual measurement final cooling temperature collecting metallic plate, and plate shape monitoring equipment is used for collecting actual plate graphic data after steel plate on-line solution processes, and metal detector is for exciting the enabling signal of rear computation model；
Described calculation element is by completing the precalculation module of solution treatment process preset functions, being optimized the online computing module solved in solution treatment process, and realizes the rear computing module three part composition of adaptation, learning functionality；
Described on-line solution processing procedure controls the device of system, and the Automatic Control processing product in order to realize on-line solution produces, and meets product technological requirement in temperature control precision, plate surface temperature uniformity and plate shape etc.。
Concrete, described precalculation module precalculation module is made up of physical computing device, plate shape calculation element and control calculation element；
Described physical computing device completes hot physical property and thermal conduction study correlation computations。With the initial parameter of steel plate, the measured value of mm finishing mill unit outlet, technological requirement cooling target component, and after in computing module the classification learning parameter of self study device output as input value, by calculating, obtain steel plate result of calculation in temperature field in solution treatment process；
Described plate shape calculation element completes upper and lower valve flow ratio and the calculating of width flow convexity；Roll the classification learning parameter of plate shape learning device output in rear actual plate graphic data and rear computing module with the steel plate of plate shape monitoring equipment collection, for input value, to calculate by optimizing, obtain flow proportional and flow Crown control parameter；
The described calculation element that controls utilizes physical computing device and the function of plate shape calculation element, in conjunction with the qualifications of plant equipment and control aspect, obtains final precomputation result, including the presetting water yield, valve mode and steel plate solution treatment time；
When steel plate arrives the position of the first metal detector, excite precalculation module enabling signal, the measured datas such as the plate size that milling train is obtained, the data such as chemical composition, technological requirement, and temperature sensor collect metallic plate actual measurement finishing temperature, plate shape monitoring equipment collect roll rear board form data, it is sent to precalculation module, after precalculation module is calculated process, the presetting parameters such as output cooling water inflow, valve mode, steel plate solution treatment time, plant equipment will be operated according to presetting parameter。
Concrete, the described online computing module of online computing module is made up of vehicle air-conditioning device；
Described vehicle air-conditioning device uses the calculation process result of the measured data of the steel plate operation conditions of real-time tracking, collection, and after in computing module the classification adaptation parameter of self-reacting device output be input value, calculate by optimizing, the presetting result of precalculation module is carried out online Optimization Solution, it is achieved the real-time control of steel plate solution treatment process；
When steel plate runs to the position of the second metal detector, this detector excites online computing module enabling signal, and the online data such as the surface of steel plate observed temperature that temperature sensor recorded, steel plate actual motion speed is sent to online computing module；Online computing module uses the data such as steel plate actual measurement surface temperature, target temperature and the steel plate speed of service, and after the classification adaptation parameter of self-reacting device output in computing module, by on-line optimization model, it is optimized and solves, obtaining steel plate duration of oscillation in speed of service curve or solution treatment control zone in solution treatment control zone, steel plate operation in solution treatment control zone is controlled by machinery according to setting。
Concrete, described rear computing module is made up of self-reacting device, self study device and plate shape learning device three part；
Described self-reacting device passes through the collection to solution treatment process data and analysis, uses adaptive algorithm to solve adaptation coefficient collection；This adaptation coefficient collection is closely related with steel plate classification, different steel plate classifications uses different adaptation coefficient collection, to obtain very good self adaptation effect, the taxonomic hierarchies of steel plate adopts empirical method to carry out, it is possible to obtain by steel plate solution treatment historical data is carried out cluster analysis；Adaptation coefficient collection will react on online computing module, reduce On-line Control error, improve control accuracy；
Described self study device, by checking the degrees of offset when front spring sub-category physical the model calculation, determines self-learning strategy；If to when front spring classification, physical model calculating resultant error is relatively larger, then by starting self learning model, solve and obtain the physical model self study coefficient set that this steel plate classification is relevant；Self study coefficient set reacts on precalculation module, reduces physical model calculating error, improves control accuracy；
When steel plate runs to the position of the 3rd metal detector, this detector excites the enabling signal of rear computation model, rear computation model is first respectively through each temperature sensor, plate shape monitoring equipment equipment, steel plate on-line solution process data be collected, process, statistical work, and finally it is filed；Then self-reacting device, self study device and plate shape learning device are started。
Present invention also offers a kind of steel plate on-line solution processing procedure and control the control method of system, it is characterized in that:
Described on-line solution processing procedure controls system and is made up of measure and control device and calculation element two parts；
Described measure and control device includes the multiple temperature sensors, metal detector and the plate shape monitoring equipment that arrange on the diverse location of online solution treatment production line；Equipment, data acquisition unit, it is achieved the real time data accurate acquisition to steel plate is monitored by the sensor these described, detector and plate shape；
Temperature sensor therein is for collecting the actual measurement finishing temperature of steel plate, and plate shape monitoring equipment is used for collecting steel plate and rolls rear actual plate graphic data, and metal detector is for exciting the enabling signal of precalculation module；Temperature sensor before cooling zone opens cold temperature for the actual measurement collecting steel plate, and metal detector is for exciting the enabling signal of online computing module；Temperature sensor behind cooling zone is in the actual measurement final cooling temperature collecting metallic plate, and plate shape monitoring equipment is used for collecting actual plate graphic data after steel plate on-line solution processes, and metal detector is for exciting the enabling signal of rear computation model；
Described calculation element is by completing the precalculation module of solution treatment process preset functions, being optimized the online computing module solved in solution treatment process, and realizes the rear computing module three part composition of adaptation, learning functionality；
When steel plate arrives the position of the first metal detector 8, excite precalculation module enabling signal, the measured datas such as the plate size that milling train is obtained, the data such as chemical composition, technological requirement, and temperature sensor collect metallic plate actual measurement finishing temperature, plate shape monitoring equipment collect roll rear board form data, it is sent to precalculation module, after precalculation module is calculated process, the presetting parameters such as output cooling water inflow, valve mode, steel plate solution treatment time, plant equipment will be operated according to presetting parameter；
When steel plate runs to the position of the second metal detector 9, this detector excites online computing module enabling signal, and the online data such as the surface of steel plate observed temperature that temperature sensor recorded, steel plate actual motion speed is sent to online computing module；Online computing module uses the data such as steel plate actual measurement surface temperature, target temperature and the steel plate speed of service, and after the classification adaptation parameter of self-reacting device output in computing module, by on-line optimization model, it is optimized and solves, obtaining steel plate duration of oscillation in speed of service curve or solution treatment control zone in solution treatment control zone, steel plate operation in solution treatment control zone is controlled by machinery according to setting；
When steel plate runs to the position of the 3rd metal detector 10, this detector excites the enabling signal of rear computation model, rear computation model is first respectively through each temperature sensor, plate shape monitoring equipment equipment, steel plate on-line solution process data be collected, process, statistical work, and finally it is filed；Then self-reacting device, self study device and plate shape learning device are started。
Compared with the prior art, the invention have the advantage that
Described measure and control device is mounted with multiple temperature sensor, the first to the 3rd metal detector and plate shape monitoring equipment on the diverse location of on-line solution process for producing line；Monitor equipment, data acquisition unit, it is achieved the real time data accurate acquisition to steel plate by the sensor these described, detector and plate shape, solve the multiobject control problems such as the solid solution temperature to product, cooling rate and plate shape；Can be implemented in the Automatic Control of line solution treatment product to produce, meet product technological requirement in temperature control precision, plate surface temperature uniformity and plate shape etc.。
Accompanying drawing explanation
Fig. 1 is that process of the present invention controls system monitoring apparatus structure schematic diagram:
Fig. 2 is that process of the present invention controls system computing device structural representation。
In figure, 1 is milling train, and 2 is roller-way, and 3,5,6 is the first to the 3rd temperature sensors, and 4,7 is the first to the 3rd plate shape monitoring equipment, and 8,9,10 is the first to the 3rd metal detector, and 11 process equipment for on-line solution。
Detailed description of the invention
Below in conjunction with drawings and Examples, the present invention will be further described。
The technical program on-line solution processing procedure controls system and device and is made up of measure and control device and calculation element two parts。
Wherein measure and control device structural representation as it is shown in figure 1, be mounted with multiple temperature sensor, metal detector and plate shape monitoring equipment on the diverse location of on-line solution process for producing line。Monitoring equipment by these sensors, detector and plate shape, data acquisition unit can to the real time data accurate acquisition of steel plate。
Wherein temperature sensor 3 is for collecting the actual measurement finishing temperature of steel plate, and plate shape monitoring equipment 4 is used for collecting steel plate and rolls rear actual plate graphic data, and metal detector 8 is for exciting the enabling signal of precalculation module；
Temperature sensor 5 before cooling zone opens cold temperature for the actual measurement collecting steel plate, and metal detector 9 is for exciting the enabling signal of online computing module；
Temperature sensor 6 behind cooling zone is in the actual measurement final cooling temperature collecting metallic plate, and plate shape monitoring equipment 7 is used for collecting actual plate graphic data after steel plate on-line solution processes。Metal detector 10 is for exciting the enabling signal of rear computation model。
The structural representation of calculation element such as Fig. 2 represents, by completing the precalculation module of solution treatment process preset functions, being optimized the online computing module solved in solution treatment process, and realizes the rear computing module three part composition of adaptation, learning functionality。
1) precalculation module:
Precalculation module is as in figure 2 it is shown, be made up of physical computing device, plate shape calculation element and control calculation element。
Physical computing device completes hot physical property and thermal conduction study correlation computations。Measured value (such as steel plate transmission speed with the initial parameter (such as steel plate materials data) of steel plate, mm finishing mill unit outlet, mm finishing mill unit exit point surface of steel plate temperature and roll rear specification etc.), technological requirement cooling target component, and after in computing module the classification learning parameter of self study device output as input value, by calculating, obtain steel plate result of calculation in temperature field in solution treatment process。
Plate shape calculation element completes upper and lower valve flow ratio and the calculating of width flow convexity。Roll the classification learning parameter of plate shape learning device output in rear actual plate graphic data and rear computing module with the steel plate of plate shape monitoring equipment 4 collection, for input value, to calculate by optimizing, obtain flow proportional and flow Crown control parameter；
Control calculation element and utilize physical computing device and the function of plate shape calculation element, qualifications in conjunction with plant equipment and control aspect, obtain final precomputation result, including the presetting water yield (ratio and convexity), valve mode and steel plate solution treatment time etc.。
When steel plate arrives the position of metal detector 8, excite precalculation module enabling signal, the measured datas such as the plate size that milling train is obtained, the data such as chemical composition, technological requirement, and temperature sensor 3 collect metallic plate actual measurement finishing temperature, plate shape monitoring equipment 4 collect roll rear board form data, it is sent to precalculation module, after precalculation module is calculated process, the presetting parameters such as the output water yield (ratio and convexity), valve mode, steel plate solution treatment time, plant equipment will be operated according to presetting parameter；
2) online computing module:
Online computing module is as in figure 2 it is shown, be made up of vehicle air-conditioning device。Vehicle air-conditioning device uses the calculation process result of the measured data of the steel plate operation conditions of real-time tracking, collection, and after in computing module the classification adaptation parameter of self-reacting device output be input value, calculate by optimizing, the presetting result of precalculation module is carried out online Optimization Solution, it is achieved the real-time control of steel plate solution treatment process。
When steel plate runs to the position of metal detector 9, this detector excites online computing module enabling signal, and the online data such as the surface of steel plate observed temperature that temperature sensor 5 recorded, steel plate actual motion speed is sent to online computing module。Online computing module uses the data such as steel plate actual measurement surface temperature, target temperature and the steel plate speed of service, and after the classification adaptation parameter of self-reacting device output in computing module, by on-line optimization model, it is optimized and solves, obtaining steel plate duration of oscillation in speed of service curve or solution treatment control zone in solution treatment control zone, steel plate operation in solution treatment control zone is controlled by machinery according to setting。
3) computing module again
Computing module is as in figure 2 it is shown, be made up of self-reacting device, self study device and plate shape learning device three part again。
Self-reacting device passes through the collection to solution treatment process data and analysis, uses adaptive algorithm to solve adaptation coefficient collection。This adaptation coefficient collection is closely related with steel plate classification, namely different steel plate classifications uses different adaptation coefficient collection, so can obtain very good self adaptation effect, the taxonomic hierarchies of steel plate can adopt empirical method to carry out, it is also possible to obtains by steel plate solution treatment historical data is carried out cluster analysis。Adaptation coefficient collection will react on online computing module, reduce On-line Control error, improve control accuracy。
Self study device, by checking the degrees of offset when front spring sub-category physical the model calculation, determines self-learning strategy。If to when front spring classification, physical model calculating resultant error is relatively larger, then by starting self learning model, solve and obtain the physical model self study coefficient set that this steel plate classification is relevant。Self study coefficient set reacts on precalculation module, reduces physical model calculating error, improves control accuracy。
Such as Fig. 1, when steel plate runs to the position of metal detector 10, this detector excites the enabling signal of rear computation model, rear computation model first passes through temperature sensor 3,5,6, the equipment such as plate shape monitoring equipment 4,7, steel plate on-line solution process data be collected, process, statistical work, and finally it is filed。Then self-reacting device, self study device and plate shape learning device are started。
The on-line solution processing procedure of technical solution of the present invention controls system and device and is made up of measure and control device and calculation element two parts, it can solve in on-line solution processing procedure, to multiobject control problems such as the solid solution temperature of product, cooling rate and plate shapes, realize on-line solution and process the Automatic Control production of product, meet product technological requirement in temperature control precision, plate surface temperature uniformity and plate shape etc.。
Apparatus and method described in the technical program are for after steel plate on-line solution process for producing line, have been achieved with BTW1, stainless steel 304,304L, 316, the Automatic Control that processes of the multiple product on-line solution such as 4Cr13, Mn13 produces, control accuracy and plate surface temperature uniformity meet the Con trolling index of Product Process requirement, cooling back plate shape is good, achieves obvious, good technique effect。
Claims (5)
1. steel plate on-line solution processing procedure controls a device for system, it is characterized in that:
Described on-line solution processing procedure controls the device of system and is made up of measure and control device and calculation element two parts；
Wherein, described measure and control device is mounted with multiple temperature sensor, the first to the 3rd metal detector and plate shape monitoring equipment on the diverse location of on-line solution process for producing line；Equipment, data acquisition unit, it is achieved the real time data accurate acquisition to steel plate is monitored by the sensor these described, detector and plate shape；
Temperature sensor therein is for collecting the actual measurement finishing temperature of steel plate, and plate shape monitoring equipment is used for collecting steel plate and rolls rear actual plate graphic data, and the first to the 3rd metal detector is for exciting the enabling signal of precalculation module；Temperature sensor before cooling zone opens cold temperature for the actual measurement collecting steel plate, and metal detector is for exciting the enabling signal of online computing module；Temperature sensor behind cooling zone is in the actual measurement final cooling temperature collecting metallic plate, and plate shape monitoring equipment is used for collecting actual plate graphic data after steel plate on-line solution processes, and metal detector is for exciting the enabling signal of rear computation model；
Described calculation element is by completing the precalculation module of solution treatment process preset functions, being optimized the online computing module solved in solution treatment process, and realizes the rear computing module three part composition of adaptation, learning functionality；
Described on-line solution processing procedure controls the device of system, and the Automatic Control processing product in order to realize on-line solution produces, and meets product technological requirement in temperature control precision, plate surface temperature uniformity and plate shape etc.。
2. the steel plate on-line solution processing procedure described in claim 1 controls the device of system, it is characterized in that described precalculation module precalculation module is made up of physical computing device, plate shape calculation element and control calculation element；
Described physical computing device completes hot physical property and thermal conduction study correlation computations。With the initial parameter of steel plate, the measured value of mm finishing mill unit outlet, technological requirement cooling target component, and after in computing module the classification learning parameter of self study device output as input value, by calculating, obtain steel plate result of calculation in temperature field in solution treatment process；
Described plate shape calculation element completes upper and lower valve flow ratio and the calculating of width flow convexity；Roll the classification learning parameter of plate shape learning device output in rear actual plate graphic data and rear computing module with the steel plate of plate shape monitoring equipment collection, for input value, to calculate by optimizing, obtain flow proportional and flow Crown control parameter；
The described calculation element that controls utilizes physical computing device and the function of plate shape calculation element, in conjunction with the qualifications of plant equipment and control aspect, obtains final precomputation result, including the presetting water yield, valve mode and steel plate solution treatment time；
When steel plate arrives the position of the first metal detector, excite precalculation module enabling signal, the measured datas such as the plate size that milling train is obtained, the data such as chemical composition, technological requirement, and temperature sensor collect metallic plate actual measurement finishing temperature, plate shape monitoring equipment collect roll rear board form data, it is sent to precalculation module, after precalculation module is calculated process, the presetting parameters such as output cooling water inflow, valve mode, steel plate solution treatment time, plant equipment will be operated according to presetting parameter。
3. the steel plate on-line solution processing procedure described in claim 1 controls the device of system, it is characterized in that the described online computing module of online computing module is made up of vehicle air-conditioning device；
Described vehicle air-conditioning device uses the calculation process result of the measured data of the steel plate operation conditions of real-time tracking, collection, and after in computing module the classification adaptation parameter of self-reacting device output be input value, calculate by optimizing, the presetting result of precalculation module is carried out online Optimization Solution, it is achieved the real-time control of steel plate solution treatment process；
When steel plate runs to the position of the second metal detector, this detector excites online computing module enabling signal, and the online data such as the surface of steel plate observed temperature that temperature sensor recorded, steel plate actual motion speed is sent to online computing module；Online computing module uses the data such as steel plate actual measurement surface temperature, target temperature and the steel plate speed of service, and after the classification adaptation parameter of self-reacting device output in computing module, by on-line optimization model, it is optimized and solves, obtaining steel plate duration of oscillation in speed of service curve or solution treatment control zone in solution treatment control zone, steel plate operation in solution treatment control zone is controlled by machinery according to setting。
4. the steel plate on-line solution processing procedure described in claim 1 controls the device of system, it is characterized in that described rear computing module is made up of self-reacting device, self study device and plate shape learning device three part；
Described self-reacting device passes through the collection to solution treatment process data and analysis, uses adaptive algorithm to solve adaptation coefficient collection；This adaptation coefficient collection is closely related with steel plate classification, different steel plate classifications uses different adaptation coefficient collection, to obtain very good self adaptation effect, the taxonomic hierarchies of steel plate adopts empirical method to carry out, it is possible to obtain by steel plate solution treatment historical data is carried out cluster analysis；Adaptation coefficient collection will react on online computing module, reduce On-line Control error, improve control accuracy；
Described self study device, by checking the degrees of offset when front spring sub-category physical the model calculation, determines self-learning strategy；If to when front spring classification, physical model calculating resultant error is relatively larger, then by starting self learning model, solve and obtain the physical model self study coefficient set that this steel plate classification is relevant；Self study coefficient set reacts on precalculation module, reduces physical model calculating error, improves control accuracy；
When steel plate runs to the position of the 3rd metal detector, this detector excites the enabling signal of rear computation model, rear computation model is first respectively through each temperature sensor, plate shape monitoring equipment equipment, steel plate on-line solution process data be collected, process, statistical work, and finally it is filed；Then self-reacting device, self study device and plate shape learning device are started。
5. steel plate on-line solution processing procedure controls a control method for system, it is characterized in that:
Described on-line solution processing procedure controls system and is made up of measure and control device and calculation element two parts；
Described measure and control device includes the multiple temperature sensors, metal detector and the plate shape monitoring equipment that arrange on the diverse location of online solution treatment production line；Equipment, data acquisition unit, it is achieved the real time data accurate acquisition to steel plate is monitored by the sensor these described, detector and plate shape；
Temperature sensor therein is for collecting the actual measurement finishing temperature of steel plate, and plate shape monitoring equipment is used for collecting steel plate and rolls rear actual plate graphic data, and metal detector is for exciting the enabling signal of precalculation module；Temperature sensor before cooling zone opens cold temperature for the actual measurement collecting steel plate, and metal detector is for exciting the enabling signal of online computing module；Temperature sensor behind cooling zone is in the actual measurement final cooling temperature collecting metallic plate, and plate shape monitoring equipment is used for collecting actual plate graphic data after steel plate on-line solution processes, and metal detector is for exciting the enabling signal of rear computation model；
Described calculation element is by completing the precalculation module of solution treatment process preset functions, being optimized the online computing module solved in solution treatment process, and realizes the rear computing module three part composition of adaptation, learning functionality；
When steel plate arrives the position of the first metal detector 8, excite precalculation module enabling signal, the measured datas such as the plate size that milling train is obtained, the data such as chemical composition, technological requirement, and temperature sensor collect metallic plate actual measurement finishing temperature, plate shape monitoring equipment collect roll rear board form data, it is sent to precalculation module, after precalculation module is calculated process, the presetting parameters such as output cooling water inflow, valve mode, steel plate solution treatment time, plant equipment will be operated according to presetting parameter；
When steel plate runs to the position of the second metal detector 9, this detector excites online computing module enabling signal, and the online data such as the surface of steel plate observed temperature that temperature sensor recorded, steel plate actual motion speed is sent to online computing module；Online computing module uses the data such as steel plate actual measurement surface temperature, target temperature and the steel plate speed of service, and after the classification adaptation parameter of self-reacting device output in computing module, by on-line optimization model, it is optimized and solves, obtaining steel plate duration of oscillation in speed of service curve or solution treatment control zone in solution treatment control zone, steel plate operation in solution treatment control zone is controlled by machinery according to setting；
When steel plate runs to the position of the 3rd metal detector 10, this detector excites the enabling signal of rear computation model, rear computation model is first respectively through each temperature sensor, plate shape monitoring equipment equipment, steel plate on-line solution process data be collected, process, statistical work, and finally it is filed；Then self-reacting device, self study device and plate shape learning device are started。
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107723458A (en) * | 2017-11-17 | 2018-02-23 | 湖南大学 | Heat treatment can reinforced aluminium alloy ag(e)ing process on-line monitoring method |
| CN109136491A (en) * | 2017-06-28 | 2019-01-04 | 宝山钢铁股份有限公司 | A kind of heating process dynamic control method of steel containing niobium |
| CN109226282A (en) * | 2018-11-13 | 2019-01-18 | 湖南有色金属职业技术学院 | A kind of steel plate on-line solution based on Internet of Things rolls rear method for rapid cooling |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH11169941A (en) * | 1997-12-12 | 1999-06-29 | Nkk Corp | Method for controlled cooling thick steel plate and device therefor |
| WO2003065134A1 (en) * | 2002-01-31 | 2003-08-07 | Siemens Aktiengesellschaft | Method for controlling an industrial process |
| CN101134998A (en) * | 2006-08-31 | 2008-03-05 | 宝山钢铁股份有限公司 | Control system and method for accelerating cooling process |
| CN101502849A (en) * | 2009-03-19 | 2009-08-12 | 东北大学 | Medium plate laminar cooling chain edge part shading device control method |
| CN105149361A (en) * | 2015-07-08 | 2015-12-16 | 燕山大学 | Self-learning method for heat transfer coefficients of belt materials of hot continuous rolling mill |
-
2014
- 2014-11-28 CN CN201410713016.7A patent/CN105695728A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH11169941A (en) * | 1997-12-12 | 1999-06-29 | Nkk Corp | Method for controlled cooling thick steel plate and device therefor |
| WO2003065134A1 (en) * | 2002-01-31 | 2003-08-07 | Siemens Aktiengesellschaft | Method for controlling an industrial process |
| CN101134998A (en) * | 2006-08-31 | 2008-03-05 | 宝山钢铁股份有限公司 | Control system and method for accelerating cooling process |
| CN101502849A (en) * | 2009-03-19 | 2009-08-12 | 东北大学 | Medium plate laminar cooling chain edge part shading device control method |
| CN105149361A (en) * | 2015-07-08 | 2015-12-16 | 燕山大学 | Self-learning method for heat transfer coefficients of belt materials of hot continuous rolling mill |
Non-Patent Citations (2)
| Title |
|---|
| 包喜荣等: "《轧钢工艺学》", 31 October 2013, 北京：冶金工业出版社 * |
| 轧制技术及连轧自动化国家重点实验室（东北大学）: "《热轧中厚板新一代TMCP技术研究与应用》", 30 November 2014, 北京：冶金工业出版社 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109136491A (en) * | 2017-06-28 | 2019-01-04 | 宝山钢铁股份有限公司 | A kind of heating process dynamic control method of steel containing niobium |
| CN109136491B (en) * | 2017-06-28 | 2020-07-28 | 宝山钢铁股份有限公司 | Dynamic control method for niobium-containing steel heating process |
| CN107723458A (en) * | 2017-11-17 | 2018-02-23 | 湖南大学 | Heat treatment can reinforced aluminium alloy ag(e)ing process on-line monitoring method |
| CN109226282A (en) * | 2018-11-13 | 2019-01-18 | 湖南有色金属职业技术学院 | A kind of steel plate on-line solution based on Internet of Things rolls rear method for rapid cooling |
| CN109226282B (en) * | 2018-11-13 | 2020-04-28 | 湖南有色金属职业技术学院 | Steel plate on-line solid solution post-rolling rapid cooling method based on Internet of things |
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