CN107042234A - The intelligent production line and production method gathered based on bar whole process big data - Google Patents
The intelligent production line and production method gathered based on bar whole process big data Download PDFInfo
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- CN107042234A CN107042234A CN201710156138.4A CN201710156138A CN107042234A CN 107042234 A CN107042234 A CN 107042234A CN 201710156138 A CN201710156138 A CN 201710156138A CN 107042234 A CN107042234 A CN 107042234A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
- B21B—ROLLING OF METAL
- B21B1/00—Metal-rolling methods or mills for making semi-finished products of solid or profiled cross-section; Sequence of operations in milling trains; Layout of rolling-mill plant, e.g. grouping of stands; Succession of passes or of sectional pass alternations
- B21B1/16—Metal-rolling methods or mills for making semi-finished products of solid or profiled cross-section; Sequence of operations in milling trains; Layout of rolling-mill plant, e.g. grouping of stands; Succession of passes or of sectional pass alternations for rolling wire rods, bars, merchant bars, rounds wire or material of like small cross-section
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
- B21B—ROLLING OF METAL
- B21B37/00—Control devices or methods specially adapted for metal-rolling mills or the work produced thereby
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
- B21B—ROLLING OF METAL
- B21B37/00—Control devices or methods specially adapted for metal-rolling mills or the work produced thereby
- B21B37/74—Temperature control, e.g. by cooling or heating the rolls or the product
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
- B21B—ROLLING OF METAL
- B21B38/00—Methods or devices for measuring, detecting or monitoring specially adapted for metal-rolling mills, e.g. position detection, inspection of the product
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
- B21B—ROLLING OF METAL
- B21B38/00—Methods or devices for measuring, detecting or monitoring specially adapted for metal-rolling mills, e.g. position detection, inspection of the product
- B21B38/006—Methods or devices for measuring, detecting or monitoring specially adapted for metal-rolling mills, e.g. position detection, inspection of the product for measuring temperature
Abstract
The present invention discloses a kind of intelligent production line gathered based on bar whole process big data and production method, including data collecting system, data handling system, production line control system and rolling line；Data collecting system is used to gather the technological parameter and collection final product quality information for rolling the corresponding workpiece measurement of link and temperature information, gathering rolling line each in the bar operation of rolling；And exported after the data message collected is preserved to data handling system；The data handling system is used to receive the data message that data collecting system is sent, and intelligent optimization processing is carried out to data message and obtains rolling model；The data handling system is additionally operable to receive the supplied materials information of target finished product information and the detection of original material detection module, and corresponding rolling technological parameter is exported to production line control system according to rolling model；Production line control system is used for the rolling technological parameter for receiving data handling system transmission, and the rolling technological parameter of rolling line is adjusted.
Description
Technical field
It is common or Alloy Steel Bar Rolling production line that this practicality invention, which is related to field, more particularly to a kind of complete based on bar
The intelligent production line and production method of flow big data collection.
Background technology
Bar is often referred to product cross section with simple geometry, such as circular, square, flat, hexagon, octagonal
Based on, but size range change is wide in range, the steel product delivered goods with axially longer vertical bar.Typical bar steel grade has high quality carbon
Steel, structural alloy steel, cold-forging steel are tied, stainless steel, pinion steel, spring steel, the kind such as bearing steel, the rod product produced is main
It is supplied in building, the industry such as automobile, machinery.For the rod product produced, quality typically with section geometrical dimension tolerances degree,
With with yield strength, fracture strength, based on the mechanical property of index such as tensile strength, alloy steel bar also has fatigue behaviour, resistance to
Corrosion energy, quenching degree etc. is required.Due to bar steel grade, continuous casting steel billet specification, and finished size are different with performance requirement, can make
Different cultivars rolling bar apparatus for production line in type, quantity, slightly difference on arrangement, and working process parameter,
However, common bar, or the overall processing process of alloy steel bar is all soaking+based on finish rolling and three roller reducing sizing mills
Controlled rolling and the cold heat engine coupling technique+finishing of water tank control, using to core process mainly there is heat engine to couple control technique, online
The advanced technology such as Technology for Heating Processing and high precision rolling technique, to ensure the finished product produced on rolling line in specification, small
When yield, all show high competitiveness in terms of mechanical property.Numerous academic researches and production practices are proved, in component content
Under guarantee, bar product final heterogeneous microstructure species and size directly determine mechanical property, but depend on
The full-range processing technology system of rolling line.
Bar product truncates on rolling line after heating, dephosphorization, multi- pass rolling, multiple crop, and cooling
Etc. process, the working process parameter being related to includes soaking temperature, heat time, dephosphorization hydraulic pressure water, start rolling temperature, passage pressure
Water hydraulic pressure and air cooling segment distance when amount, finishing temperature, and water tank are cooled down etc..Process section equipment and technological parameter are to rolled piece
The influence of institutional framework and its performance is sufficiently complex, with heredity and systematicness, in addition, equipment is through long-term in actual production
After operation, can gradually occur aging and abrasion, cause equipment to process end change in size, it is difficult to ensure default work on work piece
The implementation of skill, causes product quality stability poor, and lifting is difficult.Thus while thering is many researchs and patent content ensureing steel grade
Smelt on the basis of composition, and control continuous casting billet quality defect, being desired based on the technology controlling and process realization of rolling section and water cooling section improves
Final product quality, but due to the multiplexing sequence characteristics in bar actual production, and the ability meeting in long-term phase operation state equipment
Gradually change, cause to be difficult to by conventional method real-time online optimum process.
Existing preferably automation and informatization on current bar mill line, by further increasing to rolled piece, setting
Standby, manufacturing procedure detecting element, on its basis by early stage to on-line machining technological parameter, equipment running status parameter,
And the mass data collection of properties of product, accumulate after large database concept, using neutral net, fuzzy algorithmic approach, or expert system
Etc. intelligent data excavation is realized, construct after process optimization algorithm model, so that it may realize in raw material steel billet feature and Objective
Under energy input condition, optimum process is inversely obtained with intelligent model.
To sum up, to reach the intelligent production on bar mill line, on the basis of informationization forms large database concept, based on even
The process intelligent of strand and processing apparatus state feature, is fundamentally with reference to the high automatization level control strategy of all fronts
Improve final product quality, and the stability of size and performance important channel.
The content of the invention
In view of the above-mentioned problems, present invention offer is a kind of to improve the intellectuality gathered based on bar big data of final product quality
Production line.
To reach above-mentioned purpose, a kind of intelligent production line gathered based on bar whole process big data of the present invention,
Including data collecting system, data handling system, production line control system and rolling line；
The data collecting system is used to gather in the bar operation of rolling the respectively corresponding workpiece measurement of rolling link and temperature
Information, gathers the technological parameter and collection final product quality information of rolling line；And after the data message collected is preserved
Export to data handling system；
The data handling system is used to receive the data message that data collecting system is sent, and intelligence is carried out to data message
Optimization processing obtains rolling model；The data handling system is additionally operable to receive target finished product information and original material detection module
The supplied materials information of detection, corresponding rolling technological parameter is exported to production line control system according to rolling model；
The production line control system is used for the rolling technological parameter for receiving data handling system transmission, to rolling line
Rolling technological parameter be adjusted.
Further, the data collecting system includes memory module, and the first rolled piece for being arranged on each inlet of rolling mill side is several
What size detection module, the first temperature detecting module, is arranged on the second size detection of rolled piece module, the second temperature of cold bed upper and lower opening
Spend detection module, online finished product detection module；
The first workpiece measurement detection module is used to detect that rolled piece enters the geometry information before milling train, and will detect
Geometry information export to memory module；
First temperature detecting module is used for detection rolled piece and enters the temperature information before rolling, and by the temperature detected
Information is exported to memory module；
The second workpiece measurement detection module is used to detecting the geometry information of rolled piece on cold bed, and will detect
Rolled piece geometry information is exported to memory module；
The second temperature detection module is used to detect that rolled piece enters the temperature before cold bed, and the temperature information detected is defeated
Go out to memory module；
The final product quality after line finished product detection module is used to detect product sizing, and by the final product quality detected
Information is exported to memory module.
Further, the data handling system includes a data processing module, and the data processing module is used for adopting
The data progress collected, which is handled, obtains rolling model, and the data processing module is connected with data memory module communication.
Further, the production line control system includes cold base Heating Furnace Control module, milling train group control module, water tank
Water-cool control module and baler control module；
The cold base Heating Furnace Control module is used for the temperature for controlling heating furnace, heating furnace and the cold base Heating Furnace Control
Module controlled connection；
The milling train group control module is used for the roll gap, roll rotational speed and drafts for controlling milling train group, milling train group and institute
State milling train group control module controlled connection；
The water tank water cooling control module is used to controlling the water and hydraulic pressure of water tank, the water tank and water tank control module by
Control connection；
The baler control module is used to control bale packing quality, ties up the cycle, ties up mode, baler and the bundling
Machine control module controlled connection.
Further, the online finished product detection module includes finished product qualimeter and finished size measuring instrument, described
Finished product qualimeter and the finished size measuring instrument are connected with data memory module communication.
Further, the intelligent production line also includes production planning management system, the production planning management
System include order generation module, Ordering Module, the handling of goods and materials module for recording blank and workpiece information, and
Finished product management module for recording finished product information, the order generation module, handling of goods and materials module, finished product management module with
The Ordering Module communication connection；
The Ordering Module is used for the sequence information for receiving order generation module, and is looked into from the material management system
Material information required for asking obtains final original material information；Ordering Module is by final original material information and orders
Target finished product information in single information, which is exported, gives described information processing module；
The finished product management module is used to receive the sequence information that Ordering Module is sent, and records and preserves sequence information
In target finished product information.
A kind of intelligent production line gathered based on bar whole process big data of the present invention, can be achieved based on supplied materials and
The minimum power consumption of whole process and optimize technique processing of equipment state feature, producing obtained product, not only quality is high, and in chi
It is remarkably improved in terms of very little and stable mechanical property.
To reach above-mentioned purpose, a kind of intelligent technique productions side gathered based on bar whole process big data of the present invention
Method, including data collecting system, data handling system, production line control system and rolling line, the data acquisition system
System is connected with data handling system communication, and the data handling system is connected with production line control system communication, institute
State rolling line and the production line control system controlled connection, it is characterised in that methods described is as follows：
The corresponding workpiece measurement of link is respectively rolled in the bar operation of rolling Step 1: being gathered using the data collecting system
And temperature information, the technological parameter and collection final product quality information of collection rolling line obtain the big number of bar whole process manufacture
According to；And exported after bar whole process manufacture big data is preserved to data handling system；
Step 2: receiving the big number of bar whole process manufacture that data collecting system is sent using the data handling system
According to, to data carry out intelligent optimization processing obtain rolling model；Also target finished product information is received using described information processing module
The supplied materials information detected with original material detection module, exports corresponding rolling technological parameter according to rolling model and gives production line traffic control
Molding block；
Step 3: the rolling technological parameter sent using the production line control module receive information processing module, to rolling
The rolling technological parameter of production line processed is adjusted.
Further, the data collecting system includes memory module, and the first rolled piece for being arranged on each inlet of rolling mill side is several
What size detection module, the first temperature detecting module, is arranged on the second size detection of rolled piece module, the second temperature of cold bed upper and lower opening
Spend detection module, online finished product detection module；Characterized in that, the specific method of the step one is,
Enter the geometry information before milling train using the first workpiece measurement detection module detection rolled piece, and will detect
Geometry information export to memory module；
Enter the temperature information before rolling using first temperature detecting module detection detection rolled piece, and by the temperature detected
Information is exported to memory module；
The geometry information of rolled piece on cold bed is detected using the second workpiece measurement detection module, and will be detected
Rolled piece geometry information is exported to memory module；
Enter the temperature before cold bed using second temperature detection module detection rolled piece, and the temperature information detected is defeated
Go out to memory module；
Using the final product quality after line finished product detection module detects product sizing, and by the final product quality detected
Information is exported to memory module.
Further, methods described also includes the imperfect metadata that collects of record data acquisition system, using limited
Member, using emulation Supplementing Data missing technique segment data, forms effective metadata to heating, rolling, the simulation of cooling technique；Again
It is combined with the data collected, obtains bar whole process manufacture big data.
Further, it is to the specific method that data progress intelligent optimization processing obtains rolling model in the step 2：
(1) principal component model is used, process process data and the processing of big data are manufactured with bar whole process
As a result workpiece performance data sample is object, by with higher-dimension, strong association, nonlinear characteristic information, managed using Rough Set Attribute Reduction
By discretization and dimension-reduction treatment is carried out, by frequency collection recurrence thought, correlation rule between condition characteristic and result attribute is built, is drawn
Influence the main manufacturing process process section of workpiece performance；
(2) principal component analysis result is based on, using the BP neural network intelligences combination algorithm based on Multiple-population Genetic Algorithm,
The sample space scope drawn to principal component analysis, trains ownership in the input layer, hidden layer, output layer of neural network structure
Value and threshold value, compare training and predict the outcome and legitimate reading, obtain the high peak optimizating network of precision of prediction；Implement process
For：
A. sets target function min E=f (w1,w2,…,wn,b1,b2,…,bm)；E predicts the outcome for sample training in formula
With total mean square deviation of legitimate reading, w1,w2,…,wn,b1,b2,…,bmFor the BP neural network input layer after Unified number, imply
Layer, the connection weight and threshold matrix of output layer.
B. constraints：I=1,2 ..., n*；J=1,2 ..., m*；
In formulaWithFor i-th of weight wiThe bound of change；AndWithFor j-th of threshold value bjThe bound of change.
Because weight and threshold matrix are bivector in neural metwork training.Optimized using Multiple-population Genetic Algorithm
When, one-dimensional vector row is converted into, progress reunifies numbering.
C. sample training：After being normalized to sample inputoutput data, using overall mean square error value, convergence step number as target letter
Number, the neural network models such as optimal sampling number, the number of hidden nodes, learning rules, learning rate are determined using Numerical Experimental Method
Structural parameters, output obtains Optimal predictor model.
D. the use of model：When carrying out once new processing on rolling line, by supplied materials strand feature situation information, and
The upper device using information of rolling line section, as input parameter, gives the intelligent algorithm model constructed, obtains result after processing,
Again to calculate obtained results of property as foundation, in the case where requirement can not be met, in search database, draw and both meet performance requirement
Again with the manufacturing procedure for drafting process deviation minimum of formulation.Result data is manufactured finally according to actual, a database is updated
And model structure parameter.
Further, the production control system includes cold base Heating Furnace Control module, milling train group control module, Water in Water Tank
Cold control module and baler control module；Characterized in that, the specific method of the step 2 is：
The furnace temperature parameter sent using the cold base Heating Furnace Control module receive information processing module, and control heating furnace
Temperature；
Roll gap, roll rotational speed and the drafts letter sent using the milling train group control module receive information processing module
Breath, is adjusted to milling train group；
The water and hydraulic pressure information of the water tank sent using the water tank water cooling control module receive information processing module are right
Water tank is controlled；
The bale packing quality sent using the baler control module receive information processing module, is tied up mode, ties up week
Phase information, is controlled to baler.
Further, the final product quality information includes the size of finished product, the hardness of finished product, finished product, the surrender of finished product
The grain size of intensity, the tensile strength of finished product, and finished product.
Further, methods described is also customized metaplasia production using a production planning management system；Specific method
For：
The sequence information that order generation module is sent is received using the Ordering Module in production planning management system, and
Required material information, which is inquired about, from the material management system obtains final original material information；Ordering Module again will
Target finished product information in final original material information and sequence information, which is exported, gives described information processing module；
The sequence information that Ordering Module is sent is received using finished product management module, records and preserves in sequence information
Target finished product information.
Intelligent production method of the invention based on bar whole process big data, by gathering mass data formation big data
Storehouse, digs down in pick algorithm intelligent data, constructs model, to reach for new supplied materials continuous casting steel billet, add in given final state
Under work requirement condition, after being translated into after characteristic information parameter as input quantity, the intelligent optimization model constructed can be provided
It is adapted to the working process parameter under the steel billet and current plant conditions, realizes wanting for lowest energy consumption production high quality level rolled piece
Ask.
Brief description of the drawings
Fig. 1 is traditional bar rolling line；
Fig. 2 is the intelligent production line solution principle block diagram based on bar whole process big data.
Embodiment
With reference to Figure of description, the present invention will be further described.
Shown in rolling line arrangement figure as shown in Figure 1, for traditional rod rolling line, technique is generally：
Heat, water under high pressure dephosphorization, roughing mills, flying shear, intermediate mill, flying shear, pre-finishing mill group, water tank+air cooling is risen again cooling, flying shear,
Mm finishing mill unit, water tank+air cooling is risen again cooling, flying shear, dephosphorization, reducing-sizing mill, and water tank+air cooling is risen again cooling, and finished product multiple length is cold
Bed cooling, scale, bundling storage, with regard in process section, the setting of the equipment working process parameter that is related to, generally all using first parsing or
Analytic type algorithm substantially determines parameter area, then forms fixed processing technology value form by long-felt,
The present invention proposes the intelligent production line based on bar whole process big data, its solution principle as shown in Fig. 2 bag
Include data collecting system, data handling system, production line control system and rolling line；
The data collecting system is used to gather in the bar operation of rolling the respectively corresponding workpiece measurement of rolling link and temperature
Information, gathers the technological parameter and collection final product quality information of rolling line；And after the data message collected is preserved
Export to data handling system；
The data handling system is used to receive the data message that data collecting system is sent, and intelligence is carried out to data message
Optimization processing obtains rolling model；Described information processing module is additionally operable to receive target finished product information and original material detection module
The supplied materials information of detection, exports corresponding rolling technological parameter according to rolling model and gives production line control module；
The production line control module is used for the rolling technological parameter that receive information processing module is sent, to rolling line
Rolling technological parameter be adjusted.
Embodiment two
As the further scheme of embodiment one, the data collecting system includes memory module, is arranged on each milling train and enters
First rolled piece physical dimension detection module of mouth side, the first temperature detecting module, are arranged on the chi of rolled piece second of cold bed upper and lower opening
Very little detection module, second temperature detection module, online finished product detection module；
The first workpiece measurement detection module is used to detect that rolled piece enters the geometry information before milling train, and will detect
Geometry information export to memory module；
First temperature detecting module is used for detection rolled piece and enters the temperature information before rolling, and by the temperature detected
Information is exported to memory module；
The second workpiece measurement detection module is used to detecting the geometry information of rolled piece on cold bed, and will detect
Rolled piece geometry information is exported to memory module；
The second temperature detection module is used to detect that rolled piece enters the temperature before cold bed, and the temperature information detected is defeated
Go out to memory module；
The final product quality after line finished product detection module is used to detect product sizing, and by the final product quality detected
Information is exported to memory module.
Embodiment three
In conjunction with the embodiments one and embodiment two, the production control system includes cold base Heating Furnace Control module, milling train group
Control module, water tank water cooling control module and baler control module；
The cold base Heating Furnace Control module is used for the temperature for controlling heating furnace, and the cold base Heating Furnace Control module is with adding
Hot stove controlled connection；
The milling train group control module is used for the roll gap, roll rotational speed and drafts for controlling milling train group, the milling train group
Control module and milling train group controlled connection；
The water tank water cooling control module is used to controlling the water and hydraulic pressure of water tank, the water tank control module and water tank by
Control connection；
The baler control module is used to control bale packing quality, ties up the cycle, ties up mode, and the baler controls mould
Block and baler controlled connection；
The data handling system includes a data processing module, and the data processing module is used for the data to collecting
Progress, which is handled, obtains rolling model, and the data processing module is connected with data memory module communication.
Example IV
As the further scheme of embodiment one, the online finished product detection module includes finished product qualimeter and finished product
Gauging instrument, the finished product qualimeter and the finished size measuring instrument are communicated with the data collecting system to be connected
Connect.
Embodiment five
On the basis of embodiment one, the intelligent production line also includes production planning management system, the life
Producing project management system includes order generation module, Ordering Module, the materail tube for recording blank and workpiece information
Module is managed, and for recording the finished product management module of finished product information, the order generation module, handling of goods and materials module, finished product
Management module is connected with Ordering Module communication；
The Ordering Module is used for the sequence information for receiving order generation module, and is looked into from the material management system
Material information required for asking obtains final original material information；Ordering Module is by final original material information and orders
Target finished product information in single information, which is exported, gives described information processing module；
The finished product management module is used to receive the sequence information that Ordering Module is sent, and records and preserves sequence information
In target finished product information.
The intelligent production line of bar proposed by the present invention, the actual production of first long-term acquisition after early stage is built up and put into operation
Information, mainly record continuous casting steel billet steel grade, dimensions information, and after manufacturing procedure technological parameter, bonding apparatus fortune
Row characteristic parameter, together as input, using the finished size tolerance produced and hardness number as output, collects to be formed through magnanimity
Large database concept, digs down in pick algorithm intelligent data, constructs model, to reach for new supplied materials continuous casting steel billet, given
Under the conditions of final state processing request, after being translated into after characteristic information parameter as input quantity, the intelligent optimization model constructed
The working process parameter being adapted under the steel billet and current plant conditions can be provided, realizes that lowest energy consumption produces high quality water flat-rolled
The requirement of part.
Embodiment six
The present invention provides a kind of intelligent technique productions method gathered based on bar whole process big data, including data are adopted
At collecting system, data handling system, production line control system and rolling line, the data collecting system and the data
System communication connection is managed, the data handling system is connected with production line control system communication, the production line traffic control system
System and the rolling line controlled connection, methods described are as follows：
The corresponding workpiece measurement of link is respectively rolled in the bar operation of rolling Step 1: being gathered using the data collecting system
And temperature information, the technological parameter and collection final product quality information of collection rolling line obtain the big number of bar whole process manufacture
According to；And exported after bar whole process manufacture big data is preserved to data handling system；
Step 2: receiving the big number of bar whole process manufacture that data collecting system is sent using the data handling system
According to, to data carry out intelligent optimization processing obtain rolling model；Also target finished product information is received using described information processing module
The supplied materials information detected with original material detection module, exports corresponding rolling technological parameter according to rolling model and gives production line traffic control
Molding block；
Step 3: the rolling technological parameter sent using the production line control module receive information processing module, to rolling
The rolling technological parameter of production line processed is adjusted.
Embodiment seven
In conjunction with the embodiments six, the data collecting system includes memory module, and be arranged on each inlet of rolling mill side first is rolled
Part physical dimension detection module, the first temperature detecting module, be arranged on cold bed upper and lower opening the second size detection of rolled piece module,
Two temperature detecting modules, online finished product detection module；Characterized in that, the specific method of the step one is,
Enter the geometry information before milling train using the first workpiece measurement detection module detection rolled piece, and will detect
Geometry information export to memory module；
Enter the temperature information before rolling using first temperature detecting module detection detection rolled piece, and by the temperature detected
Information is exported to memory module；
The geometry information of rolled piece on cold bed is detected using the second workpiece measurement detection module, and will be detected
Rolled piece geometry information is exported to memory module；
Enter the temperature before cold bed using second temperature detection module detection rolled piece, and the temperature information detected is defeated
Go out to memory module；
Using the final product quality after line finished product detection module detects product sizing, and by the final product quality detected
Information is exported to memory module.
Embodiment eight
In conjunction with the embodiments six, methods described also includes, and methods described is also collected not including record data acquisition system
Complete metadata, using finite element to heating, rolling, the simulation of cooling technique, using emulation Supplementing Data missing technique hop count
According to the effective metadata of formation；It is combined again with the data collected, obtains bar whole process manufacture big data.
Embodiment nine
In conjunction with the embodiments six, data are carried out with the specific method that intelligent optimization processing obtains rolling model in the step 2
For,
(1) principal component model is used, process process data and the processing of big data are manufactured with bar whole process
As a result workpiece performance data sample is object, by with higher-dimension, strong association, nonlinear characteristic information, managed using Rough Set Attribute Reduction
By discretization and dimension-reduction treatment is carried out, by frequency collection recurrence thought, correlation rule between condition characteristic and result attribute is built, is drawn
Influence the main manufacturing process process section of workpiece performance；
(2) principal component analysis result is based on, using the BP neural network intelligences combination algorithm based on Multiple-population Genetic Algorithm,
The sample space scope drawn to principal component analysis, trains ownership in the input layer, hidden layer, output layer of neural network structure
Value and threshold value, compare training and predict the outcome and legitimate reading, obtain the high peak optimizating network of precision of prediction.
Embodiment ten
In conjunction with the embodiments six, the production control system includes cold base Heating Furnace Control module, milling train group control module, water
Case water-cool control module and baler control module；Characterized in that, the specific method of the step 2 is：
The furnace temperature parameter sent using the cold base Heating Furnace Control module receive information processing module, and control heating furnace
Temperature；
Roll gap, roll rotational speed and the drafts letter sent using the milling train group control module receive information processing module
Breath, is adjusted to milling train group；
The water and hydraulic pressure information of the water tank sent using the water tank water cooling control module receive information processing module, institute
State water tank control module and water tank controlled connection；
The bale packing quality sent using the baler control module receive information processing module, is tied up mode, ties up week
Phase information, is controlled to baler.
Embodiment 11
As the further scheme of embodiment seven, the final product quality information includes the size of finished product, the hardness of finished product, into
Product, the yield strength of finished product, the tensile strength of finished product, and finished product grain size.
Embodiment 12
In conjunction with the embodiments six, methods described is also customized metaplasia production using a production planning management system；Specifically
Method is：
The sequence information that order generation module is sent is received using the Ordering Module in production planning management system, and
Required material information, which is inquired about, from the material management system obtains final original material information；Ordering Module again will
Target finished product information in final original material information and sequence information, which is exported, gives described information processing module；
The sequence information that Ordering Module is sent is received using finished product management module, records and preserves in sequence information
Target finished product information.
Intelligent production method proposed by the present invention based on bar whole process big data, after early stage is built up and put into operation
The actual production information of first long-term acquisition, mainly records continuous casting steel billet steel grade, dimensions information, and after manufacturing procedure
Technological parameter, bonding apparatus operation characteristic parameter, together as input, using the finished size tolerance produced and hardness number as
Output, collects to form large database concept through magnanimity, is dug down in pick algorithm intelligent data, model is constructed, to reach for new
Supplied materials continuous casting steel billet, under the conditions of given final state processing request, after being translated into after characteristic information parameter as input quantity, structure
The intelligent optimization model built out can provide the working process parameter being adapted under the steel billet and current plant conditions, realize most low energy
The requirement of consumption production high quality level rolled piece.
Intelligent production line proposed by the present invention based on bar whole process big data, it is necessary during production of intelligent to realize
Based on big data, but the collection of big data and excavation need to based on production line, i.e., on a production line by equipment design and
The collection of data is realized in transformation, and is further implemented by intellectuality equipment.Therefore collect, divide effectively to carry out online data
Analysis and the intelligent control of automation feedback, must be requested that production line has the advanced of preferable automatic control level and equipment
Property.The harvester analytical equipment and intelligent control single of big data are introduced in the present invention in the design of rolling line arrangement
Member, while also by the data memory technology of rolling technological parameter and the digitization of rolled products relation appraisement system, steel rolling big data
And relevant mining, data analysis and the artificial intelligence of product performance, rolling model, the combination of microstructure evolution model, by setting
The key technologies such as standby, technology, structure property, algorithm and software development research, are realized " intellectuality is prepared and technique ".At this
In the design of invention, based on the intelligent production line of bar whole process big data, integrated for multistage manufacturing cost excellent
Change and narrow window intelligent control technology, implement in concrete technology equipment, including cold base heating furnace is intelligent, the rolling of 26 frames
Baler is intelligent on the intelligent cooling controlling and rolling controlling process of process and 6 water tank water coolings, follow-up finishing line, and by production line of bar coker
The roller reducing sizing mill of heart device intelligence three gives independent research production domesticization；For temperature field-stress field-strain based on big data
The steel such as field coupling and many Quality Grades controls of product customize production and narrow window intelligent control technology, implement small in early stage
Scope reequips production line, arranges the suitable detection component of arrangement, gathers the end properties based on supplied materials feature and technology characteristics,
Sized data, and supplement is coupled as using temperature field-stress field-strain field in terms of finite element theory research, constitute big number
According to storehouse, with reference to intelligent algorithm (neutral net, fuzzy algorithmic approach, the data digging method such as machine learning), with final product quality and specification
Demand is target, is drawn suitable for being characterized as the optimization process parameter of condition with blank, and in aforementioned intelligent equipment
It is achieved in actual production；For steel customize produce, add workpiece manufacturing process, final product quality, storage situation,
And product whereabouts content, implement and constructing based on whole process handling of goods and materials intelligent information system, contain with product quality
With yield be demand production planning management, and with it is constructed based on big data process intelligent optimization system be combined, complete
The information-based tracking of blank, workpiece, and finished product, and comprehensive intelligent management.
More than, only presently preferred embodiments of the present invention, but protection scope of the present invention is not limited thereto, and it is any to be familiar with sheet
Those skilled in the art the invention discloses technical scope in, the change or replacement that can be readily occurred in should all be covered
Within protection scope of the present invention.Therefore, the protection domain that protection scope of the present invention should be defined by claim is defined.
Claims (10)
1. a kind of intelligent production line gathered based on bar whole process big data, it is characterised in that including data acquisition
System, data handling system, production line control system and rolling line；
The data collecting system is used to gather in the bar operation of rolling the respectively corresponding workpiece measurement of rolling link and temperature information,
Gather the technological parameter and collection final product quality information of rolling line；And will the data message that collected preserve after export to
Data handling system；
The data handling system is used to receive the data message that data collecting system is sent, and intelligent optimization is carried out to data message
Processing obtains rolling model；The data handling system is additionally operable to receive target finished product information and the detection of original material detection module
Supplied materials information, corresponding rolling technological parameter is exported to production line control system according to rolling model；
The production line control system is used for the rolling technological parameter for receiving data handling system transmission, and rolling line is rolled
Technological parameter processed is adjusted.
2. a kind of intelligent production line gathered based on bar whole process big data according to claim 1, it is special
Levy and be, the data collecting system includes memory module, be arranged on the first rolled piece physical dimension detection of each inlet of rolling mill side
Module, the first temperature detecting module, are arranged on the second size detection of rolled piece module, the second temperature detection mould of cold bed upper and lower opening
Block, online finished product detection module；
The first workpiece measurement detection module is used to detect that rolled piece enters the geometry information before milling train, and several by what is detected
What dimension information is exported to memory module；
First temperature detecting module is used for detection rolled piece and enters the temperature information before rolling, and by the temperature information detected
Export to memory module；
The second workpiece measurement detection module is used to detecting the geometry information of rolled piece on cold bed, and by the rolled piece detected
Geometry information is exported to memory module；
The second temperature detection module is used to detect that rolled piece enters the temperature before cold bed, and by the temperature information detected export to
Memory module；
The final product quality after line finished product detection module is used to detect product sizing, and by the final product quality information detected
Export to memory module.
3. a kind of intelligent production line gathered based on whole process big data according to claim 1, its feature is existed
In the data handling system includes a data processing module, and the data processing module is used to carry out the data collected
Processing obtains rolling model, and the data processing module is connected with data memory module communication.
4. a kind of intelligent production line gathered based on bar whole process big data according to claim 1, it is special
Levy and be, the production line control system includes cold base Heating Furnace Control module, milling train group control module, water tank water-cool control mould
Block and baler control module；
The cold base Heating Furnace Control module is used for the temperature for controlling heating furnace, heating furnace and the cold base Heating Furnace Control module
Controlled connection；
The milling train group control module is used for the roll gap, roll rotational speed and drafts for controlling milling train group, and milling train group is rolled with described
Unit allocation module controlled connection；
The water tank water cooling control module is used for the water and hydraulic pressure for controlling water tank, the water tank and the controlled company of water tank control module
Connect；
The baler control module is used to control bale packing quality, ties up the cycle, ties up mode, baler and the baler control
Molding block controlled connection.
5. a kind of intelligent production line gathered based on bar whole process big data according to claim 3, it is special
Levy and be, the online finished product detection module includes finished product qualimeter and finished size measuring instrument, the finished product hardness is surveyed
Amount instrument and the finished size measuring instrument are connected with data memory module communication.
6. a kind of intelligent production line gathered based on bar whole process big data according to claim 1, it is special
Levy and be, the intelligent production line also includes production planning management system, the production planning management system includes ordering
Single generation module, Ordering Module, the handling of goods and materials module for recording blank and workpiece information, and for being recorded as
The finished product management module of product information, the order generation module, handling of goods and materials module, finished product management module with the order
Manage module communication connection；
The Ordering Module is used for the sequence information for receiving order generation module, and inquires about institute from the material management system
The material information needed obtains final original material information；Ordering Module believes final original material information and order
Target finished product information in breath, which is exported, gives described information processing module；
The finished product management module is used to receive the sequence information that Ordering Module is sent, and records and preserves in sequence information
Target finished product information.
7. a kind of intelligent technique productions method gathered based on bar whole process big data, including data collecting system, data
Processing system, production line control system and rolling line, the data collecting system are communicated with the data handling system
Connection, the data handling system is connected with production line control system communication, the rolling line and the production line
Control system controlled connection, it is characterised in that methods described is as follows：
The corresponding workpiece measurement of link and temperature are respectively rolled in the bar operation of rolling Step 1: being gathered using the data collecting system
Information is spent, the technological parameter and collection final product quality information for gathering rolling line obtain bar whole process manufacture big data；
And exported after bar whole process manufacture big data is preserved to data handling system；
Step 2: the bar whole process manufacture big data that data collecting system is sent is received using the data handling system, it is right
Data carry out intelligent optimization processing and obtain rolling model；Also target finished product information is received using described information processing module and initial
The supplied materials information of material tests module detection, exports corresponding rolling technological parameter according to rolling model and gives production line traffic control mould
Block；
Step 3: the rolling technological parameter sent using the production line control module receive information processing module, is given birth to rolling
The rolling technological parameter of producing line is adjusted.
8. a kind of intelligent technique productions method gathered based on bar whole process big data according to claim 7, institute
Data collecting system is stated including memory module, be arranged on each inlet of rolling mill side the first rolled piece physical dimension detection module, first
Temperature detecting module, is arranged on the second size detection of rolled piece module, the second temperature detection module, online finished product of cold bed upper and lower opening
Detection module；Characterized in that, the specific method of the step one is,
Enter the geometry information before milling train using the first workpiece measurement detection module detection rolled piece, and it is several by what is detected
What dimension information is exported to memory module；
Enter the temperature information before rolling using first temperature detecting module detection detection rolled piece, and by the temperature information detected
Export to memory module；
The geometry information of rolled piece on cold bed is detected using the second workpiece measurement detection module, and by the rolled piece detected
Geometry information is exported to memory module；
Enter the temperature before cold bed using second temperature detection module detection rolled piece, and by the temperature information detected export to
Memory module；
Using the final product quality after line finished product detection module detects product sizing, and by the final product quality information detected
Export to memory module.
9. a kind of intelligent technique productions method gathered based on bar whole process big data according to claim 7, its
It is characterised by, is to the specific method that data progress intelligent optimization processing obtains rolling model in the step 2,
(1) principal component model is used, the process process data and processing result of big data are manufactured with bar whole process
Workpiece performance data sample is object, by with higher-dimension, strong association, nonlinear characteristic information, entered using Rough Set Attribute Reduction theory
Row discretization and dimension-reduction treatment, by frequency collection recurrence thought, build correlation rule between condition characteristic and result attribute, draw influence
The main manufacturing process process section of workpiece performance；
(2) principal component analysis result is based on, using the BP neural network intelligences combination algorithm based on Multiple-population Genetic Algorithm, to master
The sample space scope that constituent analysis is drawn, train in the input layer of neural network structure, hidden layer, output layer all weights and
Threshold value, compares training and predicts the outcome and legitimate reading, obtains the high peak optimizating network of precision of prediction.
10. a kind of intelligent technique productions method gathered based on bar whole process big data according to claim 7, its
It is characterised by, methods described is also customized metaplasia production using a production planning management system；Specific method is：
The sequence information that sends of order generation module is received using the Ordering Module in production planning management system, and from institute
Material information required for stating material management system inquiry obtains final original material information；Ordering Module again will be final
Original material information and sequence information in target finished product information export and give described information processing module；
The sequence information that Ordering Module is sent is received using finished product management module, records and preserves the target in sequence information
Finished product information.
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| CN109948746A (en) * | 2017-12-20 | 2019-06-28 | 中国航天系统工程有限公司 | A kind of sensor-based steel billet information tracing method |
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