CN109283881A - The second-rate wire feeder intelligence control system of ladle refining furnace - Google Patents
The second-rate wire feeder intelligence control system of ladle refining furnace Download PDFInfo
- Publication number
- CN109283881A CN109283881A CN201710602909.8A CN201710602909A CN109283881A CN 109283881 A CN109283881 A CN 109283881A CN 201710602909 A CN201710602909 A CN 201710602909A CN 109283881 A CN109283881 A CN 109283881A
- Authority
- CN
- China
- Prior art keywords
- line
- silk
- module
- leng
- steel
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/05—Programmable logic controllers, e.g. simulating logic interconnections of signals according to ladder diagrams or function charts
- G05B19/054—Input/output
-
- C—CHEMISTRY; METALLURGY
- C21—METALLURGY OF IRON
- C21C—PROCESSING OF PIG-IRON, e.g. REFINING, MANUFACTURE OF WROUGHT-IRON OR STEEL; TREATMENT IN MOLTEN STATE OF FERROUS ALLOYS
- C21C7/00—Treating molten ferrous alloys, e.g. steel, not covered by groups C21C1/00 - C21C5/00
- C21C7/0006—Adding metallic additives
-
- C—CHEMISTRY; METALLURGY
- C21—METALLURGY OF IRON
- C21C—PROCESSING OF PIG-IRON, e.g. REFINING, MANUFACTURE OF WROUGHT-IRON OR STEEL; TREATMENT IN MOLTEN STATE OF FERROUS ALLOYS
- C21C7/00—Treating molten ferrous alloys, e.g. steel, not covered by groups C21C1/00 - C21C5/00
- C21C7/0056—Treating molten ferrous alloys, e.g. steel, not covered by groups C21C1/00 - C21C5/00 using cored wires
-
- C—CHEMISTRY; METALLURGY
- C21—METALLURGY OF IRON
- C21C—PROCESSING OF PIG-IRON, e.g. REFINING, MANUFACTURE OF WROUGHT-IRON OR STEEL; TREATMENT IN MOLTEN STATE OF FERROUS ALLOYS
- C21C7/00—Treating molten ferrous alloys, e.g. steel, not covered by groups C21C1/00 - C21C5/00
- C21C7/0075—Treating in a ladle furnace, e.g. up-/reheating of molten steel within the ladle
-
- C—CHEMISTRY; METALLURGY
- C21—METALLURGY OF IRON
- C21C—PROCESSING OF PIG-IRON, e.g. REFINING, MANUFACTURE OF WROUGHT-IRON OR STEEL; TREATMENT IN MOLTEN STATE OF FERROUS ALLOYS
- C21C7/00—Treating molten ferrous alloys, e.g. steel, not covered by groups C21C1/00 - C21C5/00
- C21C7/04—Removing impurities by adding a treating agent
- C21C7/06—Deoxidising, e.g. killing
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/10—Plc systems
- G05B2219/11—Plc I-O input output
- G05B2219/1103—Special, intelligent I-O processor, also plc can only access via processor
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P10/00—Technologies related to metal processing
- Y02P10/25—Process efficiency
Landscapes
- Chemical & Material Sciences (AREA)
- Engineering & Computer Science (AREA)
- Materials Engineering (AREA)
- Metallurgy (AREA)
- Organic Chemistry (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Treatment Of Steel In Its Molten State (AREA)
Abstract
The present invention relates to a kind of second-rate wire feeder intelligence control systems of ladle refining furnace, it is characterized in that, the control system includes the storage of L2 parameter and maintenance module, L2 data collection module, L2 silk thread recovery rate self-learning module, L2 silk thread computing module, L1-L2 communication module and L1 PLC control module, the program calculates the type and its length technology of silk thread automatically, according to the Initial Composition of molten steel and target component requirement, it is automatic to calculate the silk thread type and its length needed, it avoids manually calculating bring error, so that control precision is higher, and it is calculated without artificial, reduce artificial labor intensity.
Description
Technical field
The present invention relates to a kind of control systems, and in particular to a kind of second-rate wire feeder intelligence control system of ladle refining furnace and
Control method belongs to ladle refining furnace control system technical field.
Background technique
During ladle refining, it is related to being added various silk threads (such as aluminum steel, calcium line), adjustment molten steel composition reaches target
It is required that while when Oxygen Content in Liquid Steel is higher, with aluminum steel deoxidation and adjustment molten steel aluminium content.In order to ensure the mesh of molten steel composition
Mark requires, and silk amount is fed in accurate control, it appears particularly significant.Due to the different batches of silk thread of the same race, line density and its ingredient exist
Slight change occurs for certain difference, status of equipment, can all lead to feed silk effect changing, in order to eliminate these differences, adopt
It is adjusted with the method for adjustment silk thread element recovery rate.The prior art, which generally passes through manually to calculate, feeds silk amount, on HMI picture
It is manually entered, then feeds the beginning and end of silk movement by manual control, disadvantage is that manually calculate and be manually entered,
It is be easy to cause data input fault, and generally requires to be controlled all in accordance with the upper limit, causes higher cost, while needing more
Non-cutting time, have a certain impact to rhythm of production.
Summary of the invention
The present invention exactly for the technical problems in the prior art, provides a kind of second-rate wire feeder intelligence of ladle refining furnace
It can control system, the program calculates the type and its length technology of silk thread automatically, according to the Initial Composition and target component of molten steel
It is required that automatic calculate the silk thread type and its length needed, avoid manually calculating bring error, so that control precision is higher,
And it is calculated without artificial, reduces artificial labor intensity.
To achieve the goals above, technical scheme is as follows, a kind of second-rate wire feeder of ladle refining furnace intelligently control
System processed, which is characterized in that the control system includes the storage of L2 parameter and maintenance module, L2 data collection module, L2 silk thread
Recovery rate self-learning module, L2 silk thread computing module, L1-L2 communication module and L1PLC control module, the L2 parameter storage
And maintenance module, for relevant parameter needed for storing, safeguard the type of wire feeder silk thread and calculating wire length;
L2 data collection module, for collecting the correlated process data of production heat;
L2 silk thread computing module, according to the primary condition and target call of molten steel, calculate needs feeds silk amount;
L2 silk thread recovery rate self-learning module calculates silk according to practical amount, molten steel primary condition and the terminal ingredient for feeding silk
The recovery rate of line element;
L1-L2 communication module realizes the communication of L2 and L1 by Ethernet using ICP/IP protocol;
L1PLC control module: for according to the calculated result control relevant device movement for receiving L2 silk thread computing module, control
Wire feeder processed carries out feeding silk.
A kind of control method of the second-rate wire feeder intelligence control system of ladle refining furnace, which is characterized in that the method is such as
Under:
(1) relevant parameter of the storage of L2 parameter and maintenance module storage silk thread and wire feeder,
(2) L2 data collection module collect calculate need relevant parameter, including in L2 parameter setting module parameter and
The primary condition and goal condition of molten steel:
(3) L2 silk thread computing module calculates the amount of the corresponding silk thread type of wire feeder;
(4) L2 hello silk starts control module control hello silk;
(5) relevant information for feeding silk is uploaded L2 data collection module by L1-L2 communication module;
(6) be delayed Δ t2 (delay Δ t1 can ensure that feed silk stop completely, general value 1.5 minutes or so, according to feed silk control
Depending on the accuracy of system);
(7) L2 silk thread recovery rate self-learning module is according to according to practical amount, molten steel primary condition and the end-condition for feeding silk,
Calculate the recovery rate of various silk threads.
As an improvement of the present invention, step (1) the L2 parameter storage and maintenance module storage silk thread and wire feeder
Relevant parameter it is specific as follows:
When parameter changes, safeguarded by process engineer in dependent picture, the data including following aspect are deposited
Storage and maintenance: 1) establish table in system database, store the type and relevant parameter of silk thread, mainly include silk thread code,
Silk thread title, that is, aluminum steel, carbon line, calcium line, ferro-boron line, line density, main component, Contents of Main Components and its recovery rate;
2) table is established in system database, storage wire feeder two stream is suitable at corresponding silk thread type and hello silk
The priority of sequence,
3) table is established in system database, stores the recovery rate that each heat corresponds to silk thread.
As an improvement of the present invention, step (2) the L2 data collection module collects the relevant parameter for calculating and needing,
Primary condition and goal condition including parameter and molten steel in L2 parameter setting module, specific as follows:
1) molten steel Initial Composition;
2) molten steel target component;
3) wire feeder two flows corresponding silk thread type;
4) line density of various silk threads;
5) recovery rate of the correspondence main component of various silk threads.
As an improvement of the present invention, step (3) the L2 silk thread computing module calculates the corresponding silk thread kind of wire feeder
The amount of class, it is specific as follows,
1) type for calculating silk thread is determined;
2) calculation method of wire length;
A. aluminum steel length is calculated
Calculation formula:
Leng_Al=[(Al_Aim-Al_ini)+(O_ini-O_Aim)/2*3]/100*W_steel/
(Al_Concent/100)/(Al_Per/100)/Al_Line_Density
Al_Per extracts recovery rate Al_Per1, Al_ for feeding nearest n (n > 0) furnace of aluminum steel in database table 3
Per2、……、
The average value of Al_Pern and the half of the sum of median, i.e.,
Al_Per=(AVG (Al_Per1, Al_Per2 ..., Al_Pern)
+MEDI(Al_Per1、Al_Per2、……、Al_Pern))/2
AVG indicates that the average value of several numbers, MEDI indicate the median of several numbers.
Wherein: Leng_Al: aluminum steel length (m);
Al_ini: molten steel Initial Composition aluminium content (%);
Al_Aim: molten steel target component aluminium content (%);
W_steel: Metal Weight (kg);
O_ini: molten steel Initial Composition oxygen content (%);
O_Aim: molten steel target component oxygen content (%);
Al_Line_Density: the line density (kg/ meters) of aluminum steel;
Al_Concent: hundred component contents of aluminium in aluminum steel
Al_Per: the recovery rate of aluminum steel really participates in hundred ingredient ratios of the aluminium of reaction;
B. carbon line length is calculated
Calculation formula:
Leng_C=(C_Aim-C_ini)/100*W_steel/ (C_Concent/100)/(C_Per/100)/C_Line_
Density
C_Per extracts recovery rate C_Per1, C_ for feeding nearest n (n > 0) furnace of carbon line in database table 3
Per2、……、
The average value of C_Pern and the half of the sum of median, i.e.,
C_Per=(AVG (C_Per1, C_Per2 ..., C_Pern)
+MEDI(C_Per1、C_Per2、……、C_Pern))/2
AVG indicates that the average value of several numbers, MEDI indicate the median of several numbers.
Wherein: Leng_C: carbon line length (m);
C_Ini: molten steel Initial Composition carbon content (%);
C_Aim: molten steel target component carbon content (%);
W_steel: Metal Weight (kg);
C_Line_Density: the line density (kg/ meters) of carbon line;
C_Concent: hundred component contents of carbon in carbon line
C_Per: the recovery rate of carbon line;
C. calcium line length is calculated
Calculation formula:
Leng_Ca=(Ca_Aim-Ca_ini)/100*W_steel/ (Ca_Concent/100)/(Ca_Per/100)/
Ca_Line_Density
Ca_Per extracts recovery rate Ca_Per1, Ca_ for feeding nearest n (n > 0) furnace of calcium line in database table 3
Per2、……、
The average value of Ca_Brn and the half of the sum of median, i.e.,
Ca_Per=(AVG (Ca_Per1, Ca_Per2 ..., Ca_Pern)
+MEDI(Ca_Per1、Ca_Per2、……、Ca_Pern))/2
Wherein: Leng_Ca: calcium line length (m);
Ca_Ini: molten steel Initial Composition calcium content (%);
Ca_Aim: molten steel target component calcium content (%);
W_steel: Metal Weight (kg);
Ca_Line_Density: the line density (kg/ meters) of calcium line;
Hundred component contents of calcium in Ca_Concent:C calcium line
Ca_Per: the recovery rate of calcium line;
D. ferro-boron line length is calculated
Calculation formula:
Leng_B=(B_Aim-B_ini)/100*W_steel/ (B_Concent/100)/(B_Per/100)/B_Line_
Density
B_Per extracts recovery rate B_Per1, B_ for feeding nearest n (n > 0) furnace of ferro-boron line in database table 3
Per2、……、
The average value of B_Pern and the half of the sum of median, i.e.,
B_Per=(AVG (B_Per1, B_Per2 ..., B_Pern)
+MEDI(B_Per1、B_Per2、……、B_Pern))/2
Wherein: Leng_B: ferro-boron line length (m);
B_Ini: molten steel Initial Composition boron content (%);
B_Aim: molten steel target component boron content (%);
W_steel: Metal Weight (kg);
B_Line_Density: the line density (kg/ meters) of ferro-boron line;
B_Concent: hundred component contents of calcium in ferro-boron line
B_Per: the recovery rate of calcium line.
As an improvement of the present invention, step (4) L2 hello silk starts control module control hello silk;It is specific as follows,
(L2HMI) setting is fed silk start button and is pressed after site operation personnel is by silk start button is fed on L2 operation screen
Following steps are executed according to second-rate preferential (assuming that priority orders are A, B stream) for feeding silk that step (2) determine;
If 1) A flows wire length A_Leng > Fix_Leng, wire feeder controls L2 module and feeds A stream to silk commencing signal
And feeding wire speed sends L1PLC control module by L1-L2 communication module;Otherwise it goes to step 7);
2) L1PLC control module control A stream carries out feeding silk;
3) relevant information (length) for feeding silk is periodically uploaded L2 data collection module by L1-L2 communication module;
4) when silk physical length A_Leng_Act >=A_Leng is currently fed in judgement, then wire feeder control L2 module feeds A stream
Silk end signal L1-L2 communication module sends L1PLC control module;Otherwise delay Δ t continues to judge, until A_Leng_Act >
=A_Leng;
5) L1PLC control module control A stream stops feeding silk;
6) the Δ t1 that is delayed (prevents 2 stream silk threads from mutually winding, causes production accident, delay Δ t1 can ensure that first-class hello silk is complete
Full cut-off stops, and another stream does not have started, and silk thread will not occur and mutually wind, and general value 1.5 minutes or so, according to the control of hello silk
Depending on accuracy);
If 7) B flows wire length B_Leng > 0, wire feeder controls L2 module and leads to B stream hello silk commencing signal L1-L2
Believe that module sends L1PLC control module;Otherwise (5) are gone to step;
8) L1PLC control module control B stream carries out feeding silk;
9) relevant information (length) for feeding silk is periodically uploaded L2 data collection module by L1-L2 communication module;
10) when silk physical length B_Leng_Act >=B_Leng is currently fed in judgement, then wire feeder control L2 module flows B
It feeds silk end signal L1-L2 communication module and sends L1PLC control module;Otherwise delay Δ t continues to judge, until B_Leng_Act
>=B_Leng;
11) L1PLC control module control B stream stops feeding silk.
As an improvement of the present invention, step (7) the L2 silk thread recovery rate self-learning module is fed according to according to practical
Amount, molten steel primary condition and the end-condition of silk, in the recovery rate for calculating various silk threads,
Various silk thread recovery rate calculation methods are as follows:
1) recovery rate of aluminum steel amount is adjusted:
Calculation formula:
Al_Per=[(Al_fin-Al_ini)+(O_ini-O_fin)/2*3]/100*W_steel/ (Al_Concent/
100)/Al_Line_Density/Leng_Al_Act*100
Wherein: Leng_Al_Act: the practical length (m) for feeding aluminum steel;
Al_ini: molten steel Initial Composition aluminium content (%);
Al_fin: molten steel terminal ingredient aluminium content (%);
W_steel: Metal Weight (kg);
O_ini: molten steel Initial Composition oxygen content (%);
O_fin: molten steel terminal ingredient oxygen content (%);
Al_Line_Density: the line density (kg/ meters) of aluminum steel;
Al_Concent: hundred component contents of aluminium in aluminum steel;
2) recovery rate of carbon line amount is adjusted:
Calculation formula:
C_Per=[C_fin-C_ini]/100*W_steel/ (C_Concent/100)/C_Line_Density/Leng_
C_Act*100
Wherein: Leng_C_Act: the practical length (m) for feeding carbon line;
C_ini: molten steel Initial Composition carbon content (%);
C_fin: molten steel terminal ingredient carbon content (%);
W_steel: Metal Weight (kg);
C_Line_Density: the line density (kg/ meters) of carbon line;
C_Concent: hundred component contents of carbon in carbon line;
3) recovery rate of calcium line amount is adjusted:
Calculation formula:
Ca_Per=[Ca_fin-Ca_ini]/100*W_steel/ (Ca_Concent/100)/Ca_Line_Density/
Leng_Ca_Act*100
Wherein: Leng_Ca_Act: the practical length (m) for feeding calcium line;
Ca_ini: molten steel Initial Composition calcium content (%);
Ca_fin: molten steel terminal ingredient calcium content (%);
W_steel: Metal Weight (kg);
Ca_Line_Density: the line density (kg/ meters) of calcium line;
Ca_Concent: hundred component contents of calcium in calcium line;
4) recovery rate of ferro-boron line amount is adjusted:
B_Per=[B_fin-B_ini]/100*W_steel/ (B_Concent/100)/B_Line_Density/Leng_
B_Act*100
Wherein: Leng_B_Act: the practical length (m) for feeding ferro-boron line;
B_ini: molten steel Initial Composition boron content (%);
B_fin: molten steel terminal ingredient boron content (%);
W_steel: Metal Weight (kg);
B_Line_Density: the line density (kg/ meters) of ferro-boron line;
B_Concent: hundred component contents of boron in ferro-boron line.
Compared with the existing technology, the invention has the advantages that, 1) kind of silk thread is calculated involved by the technical solution automatically
Class and its length technology: automatic to calculate the silk thread type and its length needed according to the Initial Composition of molten steel and target component requirement
Degree, advantage is first is that avoid manually calculating bring error, so that control precision is higher, second is that reducing people without artificial calculating
The labor intensity of work;2) feed the priority judgment technology of silk: because of technological reason, the sequence of certain silk thread feeding molten steel has strictly
Technique requirement, setting preferentially can to avoid feed silk sequence setting mistake and influence steel quality;3) wire feeder feeds oneself of silk
Dynamic control technology: after feeding the initiation button movement of silk operation, all movements can reduce labor by control with computational intelligence
Dynamic degree, mentions high control precision, reduces the non-cutting time of production;4) silk interval time setting technique is fed: by between setting time
Every can ensure that one stream terminates, another stream does not have started, and the generation of the mutual wrapping phenomena of silk thread will not occur, can be effectively prevented 2
Stream silk thread is mutually wound, and causes production accident;5) the automatic learning art of silk thread recovery rate: due to wire feeder control error,
The difference and alloying element of different batches silk thread line density participate in the reasons such as the extent of reaction, relative complex, the base of caused influence
In the convenience of control, above-mentioned influence is all converted to this factor for arriving recovery rate, the complexity of simplified control;6) skill
Art scheme is simple, easy to use, in this way, reducing labor intensity: feeding silk amount and feeds the control of silk process by manually becoming
For control with computational intelligence, the labor intensity of direct labor is reduced;It improves production efficiency: feeding silk operation by computer intelligence control
System, reduces the non-cutting time of production, improves production efficiency;Production cost: the length due to manually calculating silk thread is reduced, in order to
Ensure the requirement of target component, is generally controlled all in accordance with the upper limit, necessarily cause higher cost;It is fed according to 3 LF refinings of plum steel
The statistical analysis of silk data, before and after the technology use, ton steel cost reduces by 0.56 yuan.
Detailed description of the invention
The stream of Fig. 1 ladle refining two feeds silk and controls each module and its relational graph;
The stream of Fig. 2 ladle refining furnace two feeds silk control flow;
In Fig. 1: 1, the storage of L2 parameter and maintenance module;2, L2 data collection module;3, L2 silk thread computing module;4, L2
Line recovery rate self-learning module;5, L1-L2 communication module;6, L1PLC control module.
Specific embodiment:
In order to deepen the understanding of the present invention, the present embodiment is described in detail with reference to the accompanying drawing.
Embodiment 1: a kind of second-rate wire feeder intelligence control system of ladle refining furnace, including two control systems: excessively program-controlled
System L2 system processed, mainly for the production of the process control of control, parameter setting, process data collection and storage;It is basic automatic
Networked control systems L1 system is mainly used for controlling the relevant action of equipment by PLC.
A kind of second-rate wire feeder intelligence control system of ladle refining furnace, including module control as follows: (1) L2 parameter storage and
Maintenance module: for relevant parameter needed for storing, safeguard the type of wire feeder silk thread and calculating wire length;(2) L2 number
According to collection module: for collecting the correlated process data of production heat;(3) L2 silk thread computing module: according to the initial strip of molten steel
Part and target call, calculate needs feeds silk amount;(4) L2 silk thread recovery rate self-learning module: according to the practical amount for feeding silk, molten steel
Primary condition and terminal ingredient calculate the recovery rate of silk thread element;(5) TCP/IP L1-L2 communication module: is used by Ethernet
The communication of protocol realization L2 and L1;(6) L1PLC control module: for according to the calculated result control for receiving L2 silk thread computing module
Relevant device movement processed, control wire feeder carry out feeding silk.
A kind of second-rate wire feeder intelligent control method of ladle refining furnace, including step control as follows:
(1) relevant parameter of the storage of L2 parameter and maintenance module storage silk thread and wire feeder, when parameter changes, by
Process engineer safeguards that the data including following aspect store and maintenance in dependent picture:
1) table is established in system database, stores the type and relevant parameter of silk thread, mainly includes silk thread code, silk
Line title (aluminum steel, carbon line, calcium line, ferro-boron line), line density, main component, mainly at component content and its recovery rate, such as table 1;
1 silk thread parameter list of table
Silk thread code | Silk thread title | Main component | Content (%) | Line density (kg/m) |
301 | Aluminum steel | Al | ||
302 | Carbon line | C | ||
303 | Calcium line | Ca | ||
304 | Ferro-boron line | B |
2) table is established in system database, storage wire feeder two stream is suitable at corresponding silk thread type and hello silk
The priority of sequence, such as table 2.
2 wire feeder parameter list of table
Wire feeder stream number | Silk thread code | Feed silk priority | The limitation of length | Feeding wire speed (m/s) |
A | ||||
B |
3) table is established in system database, the recovery rate that each heat corresponds to silk thread is stored, such as table 3;
3 heat silk thread recovery rate parameter list of table
Heat | Silk thread code | Recovery rate (%) | Data are stored in the moment |
3071201 | |||
3071201 | |||
...... | |||
3071563 |
(2) L2 data collection module collect calculate need relevant parameter, including in L2 parameter setting module parameter and
The primary condition and goal condition of molten steel:
1) molten steel Initial Composition;
2) molten steel target component;
3) wire feeder two flows corresponding silk thread type;
4) line density of various silk threads;
5) recovery rate of the correspondence main component of various silk threads.
(3) L2 silk thread computing module calculates the amount of the corresponding silk thread type of wire feeder;
Wire feeder has and only 2 streams need to only calculate the stream pair equipped with silk thread when calculating hello silk amount before certain furnace molten steel feeds silk
The silk thread type and its length answered.
1) type for calculating silk thread is determined
It is searched from table 2 and obtains the second-rate corresponding silk thread type of wire feeder, according to the second-rate silk thread type meter of wire feeder
It calculates wire length and feeds silk priority.It is code 301 as A flows corresponding silk thread, it is code 302 that B, which flows corresponding silk thread, preferentially
Grade sequence be that A stream is 1, B stream for 2, and the limitation of length is respectively 15 meters, 15 meters, then needs to calculate A and flow silk thread (aluminum steel) length A_
Leng and B flows silk thread (aluminum steel) length B_leng, feeds the sequence that silk priority is A stream, B stream.When the computational length of certain silk thread
When less than a certain fixed value Fix_Leng (15 meters), it is set as 0, avoids that silk thread is calculated due to data error (in allowed band)
Amount very little also carries out feeding silk, causes increased costs, extends the duration of heat, also has an impact to steel quality.
2) calculation method of wire length
A. aluminum steel length is calculated
Calculation formula:
Leng_Al=[(Al_Aim-Al_ini)+(O_ini-O_Aim)/2*3]/100*W_steel/ (Al_Concent/
100)/(Al_Per/100)/Al_Line_Density
Al_Per extracts recovery rate Al_Per1, Al_ for feeding nearest n (n > 0) furnace of aluminum steel in database table 3
Per2、……、
The average value of Al_Pern and the half of the sum of median, i.e.,
Al_Per=(AVG (Al_Per1, Al_Per2 ..., Al_Pern)
+MEDI(Al_Per1、Al_Per2、……、Al_Pern))/2
AVG indicates that the average value of several numbers, MEDI indicate the median of several numbers.
Wherein: Leng_Al: aluminum steel length (m);
Al_ini: molten steel Initial Composition aluminium content (%);
Al_Aim: molten steel target component aluminium content (%);
W_steel: Metal Weight (kg);
O_ini: molten steel Initial Composition oxygen content (%);
O_Aim: molten steel target component oxygen content (%);
Al_Line_Density: the line density (kg/ meters) of aluminum steel;
Al_Concent: hundred component contents of aluminium in aluminum steel
Al_Per: the recovery rate of aluminum steel really participates in hundred ingredient ratios of the aluminium of reaction.
B. carbon line length is calculated
Calculation formula:
Leng_C=(C_Aim-C_ini)/100*W_steel/ (C_Concent/100)/(C_Per/100)/C_Line_
Density
C_Per extracts recovery rate C_Per1, C_ for feeding nearest n (n > 0) furnace of carbon line in database table 3
Per2 ..., the half of the average value of C_Pern and the sum of median, i.e.,
C_Per=(AVG (C_Per1, C_Per2 ..., C_Pern)
+MEDI(C_Per1、C_Per2、……、C_Pern))/2
AVG indicates that the average value of several numbers, MEDI indicate the median of several numbers.
Wherein: Leng_C: carbon line length (m);
C_Ini: molten steel Initial Composition carbon content (%);
C_Aim: molten steel target component carbon content (%);
W_steel: Metal Weight (kg);
C_Line_Density: the line density (kg/ meters) of carbon line;
C_Concent: hundred component contents of carbon in carbon line
C_Per: the recovery rate of carbon line.
C. calcium line length is calculated
Calculation formula:
Leng_Ca=(Ca_Aim-Ca_ini)/100*W_steel/ (Ca_Concent/100)/(Ca_Per/100)/
Ca_Line_Density
Ca_Per extracts recovery rate Ca_Per1, Ca_ for feeding nearest n (n > 0) furnace of calcium line in database table 3
Per2、……、
The average value of Ca_Brn and the half of the sum of median, i.e.,
Ca_Per=(AVG (Ca_Per1, Ca_Per2 ..., Ca_Pern)
+MEDI(Ca_Per1、Ca_Per2、……、Ca_Pern))/2
Wherein: Leng_Ca: calcium line length (m);
Ca_Ini: molten steel Initial Composition calcium content (%);
Ca_Aim: molten steel target component calcium content (%);
W_steel: Metal Weight (kg);
Ca_Line_Density: the line density (kg/ meters) of calcium line;
Hundred component contents of calcium in Ca_Concent:C calcium line
Ca_Per: the recovery rate of calcium line.
D. ferro-boron line length is calculated
Calculation formula:
Leng_B=(B_Aim-B_ini)/100*W_steel/ (B_Concent/100)/(B_Per/100)/B_Line_
Density
B_Per extracts recovery rate B_Per1, B_ for feeding nearest n (n > 0) furnace of ferro-boron line in database table 3
Per2、……、
The average value of B_Pern and the half of the sum of median, i.e.,
B_Per=(AVG (B_Per1, B_Per2 ..., B_Pern)
+MEDI(B_Per1、B_Per2、……、B_Pern))/2
Wherein: Leng_B: ferro-boron line length (m);
B_Ini: molten steel Initial Composition boron content (%);
B_Aim: molten steel target component boron content (%);
W_steel: Metal Weight (kg);
B_Line_Density: the line density (kg/ meters) of ferro-boron line;
B_Concent: hundred component contents of calcium in ferro-boron line
B_Per: the recovery rate of calcium line.
(4) L2 hello silk starts control module control hello silk
It is related to the safety of Field Force since wire feeder is dynamic, for the sake of security, the movement that hello silk starts is by artificial basis
The actual conditions at scene are controlled, and prevent wire feeder someone's operation nearby and the generation that causes personal injury accidents.It is grasped in L2
Make on picture (L2HMI) setting and feeds silk start button.After site operation personnel is by silk start button is fed, determined according to step (2)
Second-rate preferential (assuming that priority orders flow for A, B) for feeding silk execute following steps: 1) if A stream wire length A_Leng >
Fix_Leng, then wire feeder control L2 module is fed A stream to silk commencing signal and feeding wire speed and is sent by L1-L2 communication module
L1PLC control module;Otherwise it goes to step 7);
2) L1PLC control module control A stream carries out feeding silk;
3) relevant information (length) for feeding silk is periodically uploaded L2 data collection module by L1-L2 communication module;
4) when silk physical length A_Leng_Act >=A_Leng is currently fed in judgement, then wire feeder control L2 module feeds A stream
Silk end signal L1-L2 communication module sends L1PLC control module;Otherwise delay Δ t continues to judge;
5) L1 PLC control module control A stream stops feeding silk;
6) the Δ t1 that is delayed (prevents 2 stream silk threads from mutually winding, causes production accident, delay Δ t1 can ensure that first-class hello silk is complete
Full cut-off stops, and another stream does not have started, and silk thread will not occur and mutually wind, and general value 1.5 minutes or so, according to the control of hello silk
Depending on accuracy);
If 7) B flows wire length B_Leng > 0, wire feeder controls L2 module and leads to B stream hello silk commencing signal L1-L2
Believe that module sends L1PLC control module;Otherwise (5) are gone to step;
8) L1 PLC control module control B stream carries out feeding silk;
9) relevant information (length) for feeding silk is periodically uploaded L2 data collection module by L1-L2 communication module;
10) when silk physical length B_Leng_Act >=B_Leng is currently fed in judgement, then wire feeder control L2 module flows B
It feeds silk end signal L1-L2 communication module and sends L1PLC control module;Otherwise delay Δ t continues to judge;
11) L1PLC control module control B stream stops feeding silk;
(5) relevant information for feeding silk is uploaded L2 data collection module by L1-L2 communication module;
(6) be delayed Δ t2 (delay Δ t1 can ensure that feed silk stop completely, general value 1.5 minutes or so, according to feed silk control
Depending on the accuracy of system);
(7) L2 silk thread recovery rate self-learning module is according to according to practical amount, molten steel primary condition and the end-condition for feeding silk,
Calculate the recovery rate of various silk threads.
When heat this station smelt at the end of, after receiving molten steel terminal ingredient, start the module and carry out calculating this heat
Silk thread element recovery rate, and will be in the recovery rate deposit table 3 that be calculated.Various silk thread recovery rate calculation methods are as follows.
1) recovery rate of aluminum steel amount is adjusted:
Calculation formula:
Al_Per=[(Al_fin-Al_ini)+(O_ini-O_fin)/2*3]/100*W_steel/ (Al_Concent/
100)/Al_Line_Density/Leng_Al_Act*100
Wherein: Leng_Al_Act: the practical length (m) for feeding aluminum steel;
Al_ini: molten steel Initial Composition aluminium content (%);
Al_fin: molten steel terminal ingredient aluminium content (%);
W_steel: Metal Weight (kg);
O_ini: molten steel Initial Composition oxygen content (%);
O_fin: molten steel terminal ingredient oxygen content (%);
Al_Line_Density: the line density (kg/ meters) of aluminum steel;
Al_Concent: hundred component contents of aluminium in aluminum steel.
2) recovery rate of carbon line amount is adjusted:
Calculation formula:
C_Per=[C_fin-C_ini]/100*W_steel/ (C_Concent/100)/C_Line_Density/Leng_
C_Act*100
Wherein: Leng_C_Act: the practical length (m) for feeding carbon line;
C_ini: molten steel Initial Composition carbon content (%);
C_fin: molten steel terminal ingredient carbon content (%);
W_steel: Metal Weight (kg);
C_Line_Density: the line density (kg/ meters) of carbon line;
C_Concent: hundred component contents of carbon in carbon line
3) recovery rate of calcium line amount is adjusted:
Calculation formula:
Ca_Per=[Ca_fin-Ca_ini]/100*W_steel/ (Ca_Concent/100)/Ca_Line_Density/
Leng_Ca_Act*100
Wherein: Leng_Ca_Act: the practical length (m) for feeding calcium line;
Ca_ini: molten steel Initial Composition calcium content (%);
Ca_fin: molten steel terminal ingredient calcium content (%);
W_steel: Metal Weight (kg);
Ca_Line_Density: the line density (kg/ meters) of calcium line;
Ca_Concent: hundred component contents of calcium in calcium line
4) recovery rate of ferro-boron line amount is adjusted:
B_Per=[B_fin-B_ini]/100*W_steel/ (B_Concent/100)/B_Line_Density/Leng_
B_Act*100
Wherein: Leng_B_Act: the practical length (m) for feeding ferro-boron line;
B_ini: molten steel Initial Composition boron content (%);
B_fin: molten steel terminal ingredient boron content (%);
W_steel: Metal Weight (kg);
B_Line_Density: the line density (kg/ meters) of ferro-boron line;
B_Concent: hundred component contents of boron in ferro-boron line.
Application Example 2:
Illustrate so that Mei Gangyi makes steel No. 2 the 3071256th furnaces of LF ladle refining furnace as an example.
(1) parameter maintenance:
1) silk thread parameter maintenance
Silk thread code | Silk thread title | Main component | Content (%) | Line density (kg/m) |
301 | Aluminum steel | Al | 95 | 0.35 |
302 | Carbon line | C | 85 | 0.12 |
303 | Calcium line | Ca | 87 | 0.42 |
304 | Ferro-boron line | B | 63 | 0.65 |
2) wire feeder parameter maintenance
Wire feeder stream number | Silk thread code | Feed silk priority | The limitation of length | Feeding wire speed (m/s) |
A | 301 | 1 | 20 | 3.5 |
B | 303 | 2 | 20 | 3.5 |
3) there are data in heat silk thread recovery rate parameter list
Heat | Silk thread code | Recovery rate (%) | Data are stored in the moment |
3071201 | 301 | 93.25 | 2017-02-1511:20:36 |
3071201 | 303 | 94.36 | 2017-02-1511:25:36 |
...... | |||
3071563 | 302 | 96.41 | 2017-02-1913:14:31 |
(2) L2 data collection module collect calculate need relevant parameter, including in L2 parameter setting module parameter and
The primary condition and target call of molten steel:
1) molten steel Initial Composition;
2) molten steel target component;
3) wire feeder two flows corresponding silk thread type;
4) line density of various silk threads;
5) recovery rate of the correspondence main component of various silk threads.
(3) L2 silk thread computing module calculates the amount of the corresponding silk thread type of wire feeder;
1) type for calculating silk thread is determined
Look-up table 2 obtains A to flow corresponding silk thread being code 301, and it is code 303, priority orders that B, which flows corresponding silk thread,
For A stream be 1, B stream be 2, the limitation of length is respectively 20 meters, 20 meters, and feeding wire speed is respectively 3.5m/s.Silk thread code 301,3.3
Aluminum steel and calcium line are respectively corresponded, then needs the length for calculating aluminum steel and calcium line.
2) length of aluminum steel and calcium line is calculated separately
A. aluminum steel length is calculated
Leng_Al=[(Al_Aim-Al_ini)+(O_ini-O_Aim)/2*3]/100*W_steel/ (Al_Concent/
100)/(Al_Per/100)/Al_Line_Density
/ 100*156*1000/ (95/100)/(Al_Per/100)/0.35 (1)=[(0.0032-0.0001)+(0.04-0.0002)/2*3]
The recovery rate for obtaining feeding the 10 nearest furnace aluminum steels of aluminum steel in look-up table 3 takes its average value and intermediate value and obtains half,
Obtain 93.5
It brings into formula (1), is calculated
Leng_Al=315.2 meters
B. calcium line length is calculated
Calculation formula:
Leng_Ca=(Ca_Aim-Ca_ini)/100*W_steel/ (Ca_Concent/100)/(Ca_Per/100)/
Ca_Line_Density
=(0.0124-0.0001)/100*156*1000/ (85/100)/(Ca_Per/100)/0.12 (2)
The recovery rate for obtaining feeding the 10 nearest furnace aluminum steels of calcium line in look-up table 3 takes its average value and intermediate value and obtains half,
94.6 are obtained, brings into formula (2) and obtains
Leng_Ca=(0.0124-0.0001)/100*156*1000/ (85/100)/(94.6/100)/0.12=
198.85 rice
(4) L2 hello silk starts control module control hello silk
It is A, B stream according to the second-rate priority for feeding silk that step (2) determine, executes following steps:
1) since A stream wire length B_Leng is greater than 20 meters of its limiting value, then wire feeder control L2 module is fed A stream to silk and is opened
Begin, feeding wire speed passes through L1-L2 communication module transmission L1PLC control module
2) L1PLC control module control A stream carries out feeding silk;
3) relevant information (length) for feeding silk is periodically uploaded L2 data collection module by L1-L2 communication module;
4) judgement currently feed silk physical length A_Leng_Act >=315.2 when, then wire feeder control L2 module by A stream feed
Silk end signal L1-L2 communication module sends L1PLC control module;Otherwise it is delayed 5 seconds and continues to judge, until A_Leng_Act
>=315.2;
5) L1PLC control module control A stream stops feeding silk;
6) being delayed 1 minute, (the general value of Δ t1 1.5 minutes or so, according to the performance of wire feeder, which divides
Clock);
7) since B stream wire length B_Leng is greater than 20 meters of its limiting value, then wire feeder control L2 module is fed B stream to silk and is opened
Beginning signal L1-L2 communication module sends L1PLC control module);
8) L1PLC control module control B stream carries out feeding silk;
9) relevant information (length) for feeding silk is periodically uploaded L2 data collection module by L1-L2 communication module;
10) judgement currently feed silk physical length B_Leng_Act >=198.85 when, then wire feeder control L2 module B is flowed
It feeds silk end signal L1-L2 communication module and sends L1PLC control module;Otherwise it is delayed 5 seconds and continues to judge, B_Leng_Act >
=198.85;
11) L1PLC control module control B stream stops feeding silk;
(5) relevant information for feeding silk is uploaded L2 data collection module by L1-L2 communication module;
(6) be delayed 2 seconds (the general value of Δ t2 2 minutes or so, according to the performance of wire feeder, the wire feeder value 2 minutes);
(7) L2 silk thread recovery rate self-learning module is according to according to practical amount, molten steel primary condition and the end-condition for feeding silk,
Calculate the recovery rate of various silk threads.
When heat this station smelt at the end of, after receiving terminal ingredient, start the module and carry out calculating this heat
Silk thread recovery rate, and will be in the recovery rate deposit table 3 that be calculated.Various silk thread recovery rate calculation methods are as follows.
1) recovery rate of aluminum steel amount is calculated:
Calculation formula:
Al_Per=[(Al_fin-Al_ini)+(O_ini-O_fin)/2*3]/100*W_steel/ (Al_Concent/
100)/Al_Line_Density/Leng_Al_Act*100
=[(0.0032-0.0001)+(0.04-0.0002)/2*3]/100*156*1000/ (95/100)/0.35/
316.4*100
=93.12
2) recovery rate of calcium line amount is calculated:
Calculation formula:
Ca_Per=[Ca_fin-Ca_ini]/100*W_steel/ (Ca_Concent/100)/Ca_Line_Density/
Leng_Ca_Act*100
=(0.0124-0.0001)/100*156*1000/ (85/100)/0.12/201.35*100
=93.43
The aluminum steel recovery rate of calculating, calcium line recovery rate data are stored in respectively in table 3.
Application Example 3:
Illustrate so that plum steel two makes steel No. 1 the 5073247th furnace of LF ladle refining furnace as an example.
(1) parameter maintenance:
1) silk thread parameter maintenance
Silk thread code | Silk thread title | Main component | Content (%) | Line density (kg/m) |
301 | Aluminum steel | Al | 95 | 0.35 |
302 | Carbon line | C | 85 | 0.12 |
303 | Calcium line | Ca | 87 | 0.42 |
304 | Ferro-boron line | B | 63 | 0.65 |
2) wire feeder parameter maintenance
Wire feeder stream number | Silk thread code | Feed silk priority | The limitation of length | Feeding wire speed (m/s) |
A | 301 | 1 | 20 | 4.2 |
B | 303 | 2 | 20 | 4.2 |
3) there are data in heat silk thread recovery rate parameter list
Heat | Silk thread code | Recovery rate (%) | Data are stored in the moment |
3071201 | 301 | 93.25 | 2017-02-1511:20:36 |
3071201 | 303 | 94.36 | 2017-02-1511:25:36 |
...... | |||
3071563 | 302 | 96.41 | 2017-02-1913:14:31 |
(2) L2 data collection module collect calculate need relevant parameter, including in L2 parameter setting module parameter and
The primary condition and target call of molten steel:
1) molten steel Initial Composition;
2) molten steel target component;
3) wire feeder two flows corresponding silk thread type;
4) line density of various silk threads;
5) recovery rate of the correspondence main component of various silk threads.
(3) L2 silk thread computing module calculates the amount of the corresponding silk thread type of wire feeder;
1) type for calculating silk thread is determined
Look-up table 2 obtains A to flow corresponding silk thread being code 301, and it is code 303, priority orders that B, which flows corresponding silk thread,
For A stream be 1, B stream be 2, the limitation of length is respectively 20 meters, 20 meters, and feeding wire speed is respectively 4.2m/s.Silk thread code 301,3.3
Aluminum steel and calcium line are respectively corresponded, then needs the length for calculating aluminum steel and calcium line.
2) length of aluminum steel and calcium line is calculated separately
A. aluminum steel length is calculated
Leng_Al=[(Al_Aim-Al_ini)+(O_ini-O_Aim)/2*3]/100*W_steel/ (Al_Concent/
100)/(Al_Per/100)/Al_Line_Density
/ 100*256*1000/ (95/100)/(Al_Per/100)/0.35 (1)=[(0.0001-0.0001)+(0.039-0.0001)/2*3]
The recovery rate for obtaining feeding the 10 nearest furnace aluminum steels of aluminum steel in look-up table 3 takes its average value and intermediate value and obtains half,
Obtain 94.6
It brings into formula (1), is calculated
Leng_Al=474.9 meters
B. calcium line length is calculated
Calculation formula:
Leng_Ca=(Ca_Aim-Ca_ini)/100*W_steel/ (Ca_Concent/100)/(Ca_Per/100)/
Ca_Line_Density
=(0.0000-0.0000)/100*156*1000/ (85/100)/(Ca_Per/100)/0.12 (2)
The recovery rate for obtaining feeding the 10 nearest furnace aluminum steels of calcium line in look-up table 3 takes its average value and intermediate value and obtains half,
93.8 are obtained, brings into formula (2) and obtains
Leng_Ca=0 meters
(4) L2 hello silk starts control module control hello silk
Second-rate hello the silk determined according to step (2) is preferably A, B stream, executes following steps.
1) since A stream wire length B_Leng is greater than 20 meters of its limiting value, then wire feeder control L2 module is fed A stream to silk and is opened
Begin, feeding wire speed passes through L1-L2 communication module transmission L1PLC control module
2) L1PLC control module control A stream carries out feeding silk;
3) relevant information (length) for feeding silk is periodically uploaded L2 data collection module by L1-L2 communication module;
4) judgement currently feed silk physical length A_Leng_Act >=474.9 when, then wire feeder control L2 module by A stream feed
Silk end signal L1-L2 communication module sends L1PLC control module;;Otherwise it is delayed 5 seconds and continues to judge, A_Leng_Act >=
474.9;
5) L1PLC control module control A stream stops feeding silk;
6) be delayed 1.5 minutes (general values of Δ t1 1.5 minutes or so, according to the performance of wire feeder, the wire feeder value
1.5 minutes);
7) since B stream wire length B_Leng is less than 20 meters of its limiting value, then stop feeding silk;
(5) relevant information for feeding silk is uploaded L2 data collection module by L1-L2 communication module;
(6) being delayed 2.5 seconds, (the general value of Δ t2 2 minutes or so, according to the performance of wire feeder, which divides
Clock);
(7) L2 silk thread recovery rate self-learning module is according to according to practical amount, molten steel primary condition and the end-condition for feeding silk,
Calculate the recovery rate of various silk threads.
When heat this station smelt at the end of, after receiving terminal ingredient, start the module and carry out calculating this heat
Silk thread recovery rate, and will be in the recovery rate deposit table 3 that be calculated.Various silk thread recovery rate calculation methods are as follows.
Calculate the recovery rate of aluminum steel amount:
Calculation formula:
Al_Per=[(Al_fin-Al_ini)+(O_ini-O_fin)/2*3]/100*W_steel/ (Al_Concent/
100)/Al_Line_Density/Leng_Al_Act*100
=[(0.0001-0.0001)+(0.039-0.0001)/2*3]/100*256*1000/ (95/100)/0.35/
476.5*100
=94.28
The aluminum steel recovery rate data of calculating are stored in respectively in table 3.
It should be noted that above-described embodiment, is not intended to limit the scope of protection of the present invention, in above-mentioned technical proposal
On the basis of made equivalents or substitution each fall within the range that the claims in the present invention are protected.
Claims (7)
1. a kind of second-rate wire feeder intelligence control system of ladle refining furnace, which is characterized in that the control system includes L2 parameter
Storage and maintenance module, L2 data collection module, L2 silk thread recovery rate self-learning module, L2 silk thread computing module, L1-L2 communication
Module and L1PLC control module,
The L2 parameter storage and maintenance module, for storing, safeguarding the type of wire feeder silk thread and calculate wire length institute
The relevant parameter needed;
L2 data collection module, for collecting the correlated process data of production heat;
L2 silk thread computing module, according to the primary condition and target call of molten steel, calculate needs feeds silk amount;
L2 silk thread recovery rate self-learning module calculates silk thread member according to practical amount, molten steel primary condition and the terminal ingredient for feeding silk
The recovery rate of element;
L1-L2 communication module realizes the communication of L2 and L1 by Ethernet using ICP/IP protocol;
L1PLC control module: for according to the calculated result control relevant device movement for receiving L2 silk thread computing module, control to be fed
Silk machine carries out feeding silk.
2. the control method of the second-rate wire feeder intelligence control system of ladle refining furnace, which is characterized in that the method is as follows:
(1) relevant parameter of the storage of L2 parameter and maintenance module storage silk thread and wire feeder,
(2) L2 data collection module collects the relevant parameter for calculating and needing, including the parameter and molten steel in L2 parameter setting module
Primary condition and goal condition:
(3) L2 silk thread computing module calculates the amount of the corresponding silk thread type of wire feeder;
(4) L2 hello silk starts control module control hello silk;
(5) relevant information for feeding silk is uploaded L2 data collection module by L1-L2 communication module;
(6) be delayed Δ t2;
(7) L2 silk thread recovery rate self-learning module is calculated according to according to practical amount, molten steel primary condition and the end-condition for feeding silk
The recovery rate of various silk threads.
3. the control method of the second-rate wire feeder intelligence control system of ladle refining furnace according to claim 2, feature exist
In step (1) the L2 parameter stores and maintenance module stores silk thread and the relevant parameter of wire feeder is specific as follows:
When parameter changes, safeguarded by process engineer in dependent picture, the storage of data including following aspect and
Maintenance:
1) table is established in system database, stores the type and relevant parameter of silk thread, mainly includes silk thread code, silk thread name
Claim to be aluminum steel, carbon line, calcium line, ferro-boron line, line density, main component, Contents of Main Components and its recovery rate;
2) table is established in system database, storage wire feeder two stream is at corresponding silk thread type and feeds silk sequence
Priority,
3) table is established in system database, stores the recovery rate that each heat corresponds to silk thread.
4. the control method of the second-rate wire feeder intelligence control system of ladle refining furnace according to claim 2, feature exist
In step (2) the L2 data collection module collects the relevant parameter for calculating and needing, including the parameter in L2 parameter setting module
It is specific as follows with the primary condition and goal condition of molten steel:
1) molten steel Initial Composition;
2) molten steel target component;
3) wire feeder two flows corresponding silk thread type;
4) line density of various silk threads;
5) recovery rate of the correspondence main component of various silk threads.
5. the control method of the second-rate wire feeder intelligence control system of ladle refining furnace according to claim 2, feature exist
In, step (3) the L2 silk thread computing module calculates the amount of the corresponding silk thread type of wire feeder, and it is specific as follows,
1) type for calculating silk thread is determined;
2) calculation method of wire length;
A. aluminum steel length is calculated
Calculation formula:
Leng_Al=[(Al_Aim-Al_ini)+(O_ini-O_Aim)/2*3]/100*W_steel/ (Al_Concent/
100)/(Al_Per/100)/Al_Line_Density
Al_Per extracts recovery rate Al_Per1, Al_ for feeding nearest n (n > 0) furnace of aluminum steel in database table 3
Per2 ..., the half of the average value of Al_Pern and the sum of median, i.e.,
Al_Per=(AVG (Al_Per1, Al_Per2 ..., Al_Pern)+MEDI (Al_Per1, Al_Per2 ..., Al_
Pern))/2
AVG indicates that the average value of several numbers, MEDI indicate the median of several numbers.
Wherein: Leng_Al: aluminum steel length (m);
Al_ini: molten steel Initial Composition aluminium content (%);
Al_Aim: molten steel target component aluminium content (%);
W_steel: Metal Weight (kg);
O_ini: molten steel Initial Composition oxygen content (%);
O_Aim: molten steel target component oxygen content (%);
Al_Line_Density: the line density (kg/ meters) of aluminum steel;
Al_Concent: hundred component contents of aluminium in aluminum steel
Al_Per: the recovery rate of aluminum steel really participates in hundred ingredient ratios of the aluminium of reaction;
B. carbon line length is calculated
Calculation formula:
Leng_C=(C_Aim-C_ini)/100*W_steel/ (C_Concent/100)/(C_Per/100)/C_Line_
Density
C_Per extracted in database table 3 feed carbon line nearest n (n > 0) furnace recovery rate C_Per1, C_Per2 ..., C_
The average value of Pern and the half of the sum of median, i.e.,
C_Per=(AVG (C_Per1, C_Per2 ..., C_Pern)+MEDI (C_Per1, C_Per2 ..., C_Pern))/2
AVG indicates that the average value of several numbers, MEDI indicate the median of several numbers.
Wherein: Leng_C: carbon line length (m);
C_Ini: molten steel Initial Composition carbon content (%);
C_Aim: molten steel target component carbon content (%);
W_steel: Metal Weight (kg);
C_Line_Density: the line density (kg/ meters) of carbon line;
C_Concent: hundred component contents of carbon in carbon line
C_Per: the recovery rate of carbon line;
C. calcium line length is calculated
Calculation formula:
Leng_Ca=(Ca_Aim-Ca_ini)/100*W_steel/ (Ca_Concent/100)/(Ca_Per/100)/Ca_
Line_Density
Ca_Per extracts recovery rate Ca_Per1, Ca_ for feeding nearest n (n > 0) furnace of calcium line in database table 3
Per2 ..., the half of the average value of Ca_Brn and the sum of median, i.e.,
Ca_Per=(AVG (Ca_Per1, Ca_Per2 ..., Ca_Pern)+MEDI (Ca_Per1, Ca_Per2 ..., Ca_
Pern))/2
Wherein: Leng_Ca: calcium line length (m);
Ca_Ini: molten steel Initial Composition calcium content (%);
Ca_Aim: molten steel target component calcium content (%);
W_steel: Metal Weight (kg);
Ca_Line_Density: the line density (kg/ meters) of calcium line;
Hundred component contents of calcium in Ca_Concent:C calcium line
Ca_Per: the recovery rate of calcium line;
D. ferro-boron line length is calculated
Calculation formula:
Leng_B=(B_Aim-B_ini)/100*W_steel/ (B_Concent/100)/(B_Per/100)/B_Line_
Density
B_Per extracted in database table 3 feed ferro-boron line nearest n (n > 0) furnace recovery rate B_Per1, B_Per2 ...,
The average value of B_Pern and the half of the sum of median, i.e.,
B_Per=(AVG (B_Per1, B_Per2 ..., B_Pern)+MEDI (B_Per1, B_Per2 ..., B_Pern))/2
Wherein: Leng_B: ferro-boron line length (m);
B_Ini: molten steel Initial Composition boron content (%);
B_Aim: molten steel target component boron content (%);
W_steel: Metal Weight (kg);
B_Line_Density: the line density (kg/ meters) of ferro-boron line;
B_Concent: hundred component contents of calcium in ferro-boron line
B_Per: the recovery rate of calcium line.
6. the control method of the second-rate wire feeder intelligence control system of ladle refining furnace according to claim 2, feature exist
In step (4) L2 feeds silk and starts control module control hello silk;It is specific as follows,
Silk start button is fed in setting on L2 operation screen, true according to step (2) after site operation personnel is by silk start button is fed
It is fixed second-rate to feed the preferential of silk, it is assumed that priority orders A, B stream, execution following steps.
If 1) A flows wire length A_Leng > Fix_Leng, wire feeder controls L2 module and feeds A stream to silk commencing signal and feed
Silk speed sends L1PLC control module by L1-L2 communication module;Otherwise 7 are gone to step;
2) L1PLC control module control A stream carries out feeding silk;
3) L1-L2 communication module will feed relevant information, that is, length of silk, periodically upload L2 data collection module;
4) when silk physical length A_Leng_Act >=A_Leng is currently fed in judgement, then wire feeder control L2 module feeds A stream to silk knot
Beam signal L1-L2 communication module sends L1PLC control module;Otherwise delay Δ t continues to judge, until A_Leng_Act >=A_
Leng;
5) L1PLC control module control A stream stops feeding silk;
6) the Δ t1 that is delayed (prevents 2 stream silk threads from mutually winding, causes production accident, delay Δ t1 can ensure that first-class silk of feeding stops completely
Only, another stream does not have started, and silk thread will not occur and mutually wind, and general value 1.5 minutes or so, according to the accurate of hello silk control
Depending on property);
If 7) B flows wire length B_Leng > 0, wire feeder controls L2 module and feeds B stream to silk commencing signal L1-L2 communication mould
Block sends L1PLC control module;Otherwise (5) are gone to step;
8) L1PLC control module control B stream carries out feeding silk;
9) relevant information (length) for feeding silk is periodically uploaded L2 data collection module by L1-L2 communication module;
10) when silk physical length B_Leng_Act >=B_Leng is currently fed in judgement, then wire feeder control L2 module feeds B stream to silk
End signal L1-L2 communication module sends L1PLC control module;Otherwise delay Δ t continues to judge, until B_Leng_Act >=
B_Leng;
11) L1PLC control module control B stream stops feeding silk.
7. the control method of the second-rate wire feeder intelligence control system of ladle refining furnace according to claim 2, feature exist
In step (7) the L2 silk thread recovery rate self-learning module is according to according to practical amount, molten steel primary condition and the terminal item for feeding silk
Part, in the recovery rate for calculating various silk threads,
Various silk thread recovery rate calculation methods are as follows:
1) recovery rate of aluminum steel amount is adjusted:
Calculation formula:
Al_Per=[(Al_fin-Al_ini)+(O_ini-O_fin)/2*3]/100*W_steel/ (Al_Concent/100)/
Al_Line_Density/Leng_Al_Act*100
Wherein: Leng_Al_Act: the practical length (m) for feeding aluminum steel;
Al_ini: molten steel Initial Composition aluminium content (%);
Al_fin: molten steel terminal ingredient aluminium content (%);
W_steel: Metal Weight (kg);
O_ini: molten steel Initial Composition oxygen content (%);
O_fin: molten steel terminal ingredient oxygen content (%);
Al_Line_Density: the line density (kg/ meters) of aluminum steel;
Al_Concent: hundred component contents of aluminium in aluminum steel;
2) recovery rate of carbon line amount is adjusted:
Calculation formula:
C_Per=[C_fin-C_ini]/100*W_steel/ (C_Concent/100)/C_Line_Density/Leng_C_
Act*100
Wherein: Leng_C_Act: the practical length (m) for feeding carbon line;
C_ini: molten steel Initial Composition carbon content (%);
C_fin: molten steel terminal ingredient carbon content (%);
W_steel: Metal Weight (kg);
C_Line_Density: the line density (kg/ meters) of carbon line;
C_Concent: hundred component contents of carbon in carbon line;
3) recovery rate of calcium line amount is adjusted:
Calculation formula:
Ca_Per=[Ca_fin-Ca_ini]/100*W_steel/ (Ca_Concent/100)/Ca_Line_Density/
Leng_Ca_Act*100
Wherein: Leng_Ca_Act: the practical length (m) for feeding calcium line;
Ca_ini: molten steel Initial Composition calcium content (%);
Ca_fin: molten steel terminal ingredient calcium content (%);
W_steel: Metal Weight (kg);
Ca_Line_Density: the line density (kg/ meters) of calcium line;
Ca_Concent: hundred component contents of calcium in calcium line;
4) recovery rate of ferro-boron line amount is adjusted:
B_Per=[B_fin-B_ini]/100*W_steel/ (B_Concent/100)/B_Line_Density/Leng_B_
Act*100
Wherein: Leng_B_Act: the practical length (m) for feeding ferro-boron line;
B_ini: molten steel Initial Composition boron content (%);
B_fin: molten steel terminal ingredient boron content (%);
W_steel: Metal Weight (kg);
B_Line_Density: the line density (kg/ meters) of ferro-boron line;
B_Concent: hundred component contents of boron in ferro-boron line.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710602909.8A CN109283881B (en) | 2017-07-21 | 2017-07-21 | Intelligent control system of two-flow wire feeder of ladle refining furnace |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710602909.8A CN109283881B (en) | 2017-07-21 | 2017-07-21 | Intelligent control system of two-flow wire feeder of ladle refining furnace |
Publications (2)
Publication Number | Publication Date |
---|---|
CN109283881A true CN109283881A (en) | 2019-01-29 |
CN109283881B CN109283881B (en) | 2021-12-14 |
Family
ID=65185865
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710602909.8A Active CN109283881B (en) | 2017-07-21 | 2017-07-21 | Intelligent control system of two-flow wire feeder of ladle refining furnace |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109283881B (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116955894A (en) * | 2023-09-20 | 2023-10-27 | 肇庆星诺奇传动科技有限公司 | Online self-adaptive thread length information calibration method and system |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101928808A (en) * | 2009-06-22 | 2010-12-29 | 鞍钢股份有限公司 | Method for determining alloy addition amount in RH refining process |
CN103184302A (en) * | 2011-12-28 | 2013-07-03 | 宝山钢铁股份有限公司 | Controlling method and controlling system for charging of main raw material of converter |
CN104131137A (en) * | 2014-06-29 | 2014-11-05 | 南京梅山冶金发展有限公司 | Mass spectrometer based RH dynamic decarbonization method and device |
CN204129494U (en) * | 2014-11-10 | 2015-01-28 | 四川工程职业技术学院 | A kind of self-actuated controller of wire feeder |
CN106191380A (en) * | 2015-04-30 | 2016-12-07 | 上海梅山钢铁股份有限公司 | Based on mass spectrometric RH ladle refining temperature forecast system and forecasting procedure |
CN106381440A (en) * | 2016-09-28 | 2017-02-08 | 宁夏共享模具有限公司 | Process control system and method |
-
2017
- 2017-07-21 CN CN201710602909.8A patent/CN109283881B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101928808A (en) * | 2009-06-22 | 2010-12-29 | 鞍钢股份有限公司 | Method for determining alloy addition amount in RH refining process |
CN103184302A (en) * | 2011-12-28 | 2013-07-03 | 宝山钢铁股份有限公司 | Controlling method and controlling system for charging of main raw material of converter |
CN104131137A (en) * | 2014-06-29 | 2014-11-05 | 南京梅山冶金发展有限公司 | Mass spectrometer based RH dynamic decarbonization method and device |
CN204129494U (en) * | 2014-11-10 | 2015-01-28 | 四川工程职业技术学院 | A kind of self-actuated controller of wire feeder |
CN106191380A (en) * | 2015-04-30 | 2016-12-07 | 上海梅山钢铁股份有限公司 | Based on mass spectrometric RH ladle refining temperature forecast system and forecasting procedure |
CN106381440A (en) * | 2016-09-28 | 2017-02-08 | 宁夏共享模具有限公司 | Process control system and method |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116955894A (en) * | 2023-09-20 | 2023-10-27 | 肇庆星诺奇传动科技有限公司 | Online self-adaptive thread length information calibration method and system |
CN116955894B (en) * | 2023-09-20 | 2024-01-09 | 肇庆星诺奇传动科技有限公司 | Online self-adaptive thread length information calibration method and system |
Also Published As
Publication number | Publication date |
---|---|
CN109283881B (en) | 2021-12-14 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN110343805B (en) | Molten steel silicon-manganese component control device and method for ladle refining furnace | |
CN104226951A (en) | Method for improving yield of qualified sized casting blanks at casting stop stage of continuous casting machine | |
CN102747269A (en) | Low-silicon aluminum-containing steel and production method thereof | |
CN107179703A (en) | Steel-smelting alloy puts into amount control method | |
CN103602784B (en) | A kind of method of deoxidation in RH vacuum oven | |
CN109283881A (en) | The second-rate wire feeder intelligence control system of ladle refining furnace | |
CN104131137B (en) | Based on the dynamic decarbonization method of mass spectrometric RH and device | |
CN104388625B (en) | The method that flux consumes is reduced when remained converter slag | |
CN106381440A (en) | Process control system and method | |
CN110850915A (en) | Self-learning-based steelmaking molten steel process temperature control system and control method | |
CN102416456B (en) | Secondary cooling control system for continuous casting of plate blank and method | |
CN104178667B (en) | Radiator compound foil material and its manufacture method | |
CN116651928A (en) | Control method for calculating fixed weight of billet based on bar non-fixed length | |
CN110328357B (en) | Molten steel pouring control method and pouring truck | |
CN106191380A (en) | Based on mass spectrometric RH ladle refining temperature forecast system and forecasting procedure | |
CN113369313B (en) | Intelligent steel rolling number separation control method | |
CN107520254A (en) | A kind of non-gap rolling system and method based on PLC controls | |
CN113275533B (en) | Automatic control device for pouring temperature of molten steel in continuous casting tundish | |
CN107153927B (en) | Steel production malfunction management method | |
CN106493177A (en) | A kind of different in width specification strip steel mixed rolling method based on CSP techniques | |
CN103898271B (en) | A kind of feed bin automatic weighing control method of converter alloy production system | |
CN108958325A (en) | LF-RH process liquid steel temperature pre-control device and method | |
CN109290541A (en) | A kind of continuous-casting steel pouring deceleration device and control method | |
CN208055390U (en) | Automatic carburetting device in a kind of molten steel tapping process | |
CN114433630B (en) | Step knockout method |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |