CN109283881B - Intelligent control system of two-flow wire feeder of ladle refining furnace - Google Patents
Intelligent control system of two-flow wire feeder of ladle refining furnace Download PDFInfo
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- 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
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- 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
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- 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
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- 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
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- 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
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- 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
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- 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
Abstract
The invention relates to an intelligent control system of a two-flow wire feeder of a ladle refining furnace, which is characterized by comprising an L2 parameter storage and maintenance module, an L2 data collection module, an L2 wire yield self-learning module, an L2 wire calculation module, an L1-L2 communication module and an L1PLC control module.
Description
Technical Field
The invention relates to a control system, in particular to an intelligent control system and a control method for a two-flow wire feeder of a ladle refining furnace, and belongs to the technical field of control systems of ladle refining furnaces.
Background
During the ladle refining process, various silk threads (such as aluminum wires, calcium wires and the like) are added to adjust the components of the molten steel to meet the target requirements, and meanwhile, when the oxygen content of the molten steel is higher, the aluminum wires are used for deoxidation and the aluminum content of the molten steel is adjusted. It is important to accurately control the amount of wire feed in order to ensure the target requirements of the molten steel composition. The thread feeding effect is changed due to different batches of the same thread, certain difference of linear density and components thereof and slight change of equipment conditions, and in order to eliminate the difference, a method for adjusting the yield of thread elements is adopted for adjustment. In the prior art, the wire feeding amount is generally calculated manually, the wire feeding amount is manually input on an HMI picture, and then the start and the end of the wire feeding action are manually controlled.
Disclosure of Invention
The invention provides an intelligent control system of a two-flow wire feeder of a ladle refining furnace, aiming at the technical problems in the prior art, the scheme is a technology for automatically calculating the type and the length of a silk thread, the type and the length of the needed silk thread are automatically calculated according to the requirements of initial components and target components of molten steel, errors caused by manual calculation are avoided, the control precision is higher, manual calculation is not needed, and the manual labor intensity is reduced.
In order to achieve the above object, the technical solution of the present invention is that the intelligent control system for the two-flow wire feeder of the ladle refining furnace is characterized in that the control system comprises an L2 parameter storage and maintenance module, an L2 data collection module, an L2 wire yield self-learning module, an L2 wire calculation module, an L1-L2 communication module and an L1PLC control module, wherein the L2 parameter storage and maintenance module is used for storing and maintaining the type of the wire feeder and the related parameters required for calculating the length of the wire;
the L2 data collection module is used for collecting relevant process data of the production heat;
the L2 silk thread calculating module is used for calculating the required silk feeding amount according to the initial condition and the target requirement of the molten steel;
the L2 silk thread yield self-learning module calculates the yield of silk thread elements according to the actual silk feeding amount, the initial condition of molten steel and the end point component;
the L1-L2 communication module is used for realizing the communication between the L2 and the L1 by adopting a TCP/IP protocol through Ethernet;
l1PLC control module: the device is used for controlling the action of relevant equipment according to the calculation result of the received L2 silk thread calculation module and controlling the silk feeding machine to feed the silk.
A control method of an intelligent control system of a two-flow wire feeder of a ladle refining furnace is characterized by comprising the following steps:
(1) the L2 parameter storage and maintenance module stores relevant parameters of the silk thread and the silk thread feeding machine,
(2) the L2 data collection module collects relevant parameters required for calculation, including parameters in the L2 parameter setting module and initial and target conditions of molten steel:
(3) the L2 silk thread calculating module calculates the quantity of the corresponding silk thread type of the silk thread feeding machine;
(4) the L2 wire feeding start control module controls wire feeding;
(5) the L1-L2 communication module uploads the related information of the wire feeding to the L2 data collection module;
(6) delay delta t2 (delay delta t1 can ensure the wire feeding to stop completely, generally takes about 1.5 minutes, and is determined according to the accuracy of wire feeding control);
(7) the L2 silk thread yield self-learning module calculates the yield of various silk threads according to the actual silk feeding amount, the initial condition and the end condition of molten steel.
As an improvement of the invention, the step (1) L2 parameter storage and maintenance module stores relevant parameters of the silk thread and the silk thread feeding machine as follows:
when the parameters are changed, the process engineer maintains the parameters on the related screen, and the data storage and maintenance comprise the following aspects: 1) establishing a table in a system database, storing the types and related parameters of the silk threads, wherein the types and related parameters mainly comprise silk thread codes, silk thread names, namely aluminum wires, carbon wires, calcium wires and ferroboron wires, and linear density, main components, main component content and yield of the main components;
2) establishing a table in a system database, storing the silk types and the priority of the silk feeding sequence respectively corresponding to the two flows of the silk feeding machine,
3) and establishing a table in a system database, and storing the yield of the silk threads corresponding to each heat.
As an improvement of the invention, the step (2) L2 data collection module collects relevant parameters required by calculation, including parameters in the L2 parameter setting module and initial and target conditions of molten steel, and specifically includes the following steps:
1) initial components of molten steel;
2) molten steel target composition;
3) the silk thread types corresponding to the two flows of the silk feeding machine;
4) the linear density of the various filaments;
5) yield of the corresponding main component of each silk thread.
As an improvement of the invention, the silk thread calculating module of the step (3) L2 calculates the amount of the corresponding silk thread type of the silk thread feeding machine, specifically as follows,
1) determining the type of the calculation silk thread;
2) calculating the length of the silk thread;
a. calculating the length of the aluminum wire
Calculating the 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 in the database table 3 the yields Al _ Per1, Al _ Per2, … …, of the nearest n (n >0) furnace to which the aluminum wire was fed,
Half of the sum of the mean and median of Al _ Pern, i.e.
Al_Per＝(AVG(Al_Per1、Al_Per2、……、Al_Pern)
+MEDI(Al_Per1、Al_Per2、……、Al_Pern))/2
AVG denotes the average of several numbers and MEDI denotes the median of several numbers.
Wherein: leng _ Al: aluminum wire length (m);
al _ ini: aluminum content (%) as an initial component of molten steel;
al _ Aim: the aluminum content (%) of the target component of the molten steel;
w _ steel: molten steel weight (kg);
o _ ini: oxygen content (%) as an initial component of molten steel;
o _ Aim: the oxygen content (%) of the target component of the molten steel;
al _ Line _ sensitivity: linear density of aluminum wire (kg/m);
al _ Concent: aluminum wire with aluminum content
Al _ Per: the yield of the aluminum wire, namely the percentage composition ratio of aluminum which really participates in the reaction;
b. calculating the length of the carbon line
Calculating the formula:
Leng_C＝(C_Aim-C_ini)/100*W_steel/(C_Concent/100)/(C_Per/100)/C_Line_Density
c _ Per extracts in the database table 3 the yields C _ Per1, C _ Per2, … …, of the nearest n (n >0) furnace to the carbon feed line,
Half the sum of the mean and median of C _ Pern, i.e.
C_Per＝(AVG(C_Per1、C_Per2、……、C_Pern)
+MEDI(C_Per1、C_Per2、……、C_Pern))/2
AVG denotes the average of several numbers and MEDI denotes the median of several numbers.
Wherein: leng _ C: carbon wire length (m);
c _ Ini: carbon content (%) of an initial component of molten steel;
c _ Aim: carbon content (%) of a target component of molten steel;
w _ steel: molten steel weight (kg);
c _ Line _ sensitivity: linear density of carbon wire (kg/m);
c _ Concent: percentage composition of carbon in carbon wire
C _ Per: the yield of the carbon line;
c. calculating the length of the calcium line
Calculating the formula:
Leng_Ca＝(Ca_Aim-Ca_ini)/100*W_steel/(Ca_Concent/100)/(Ca_Per/100)/Ca_Line_Density
ca _ Per extracts in database table 3 the yields Ca _ Per1, Ca _ Per2, … …, of the nearest n (n >0) furnace to which the calcium line was fed,
Half the sum of the mean and median of Ca _ Brn, i.e.
Ca_Per＝(AVG(Ca_Per1、Ca_Per2、……、Ca_Pern)
+MEDI(Ca_Per1、Ca_Per2、……、Ca_Pern))/2
Wherein: leng _ Ca: calcium wire length (m);
ca _ Ini: the calcium content (%) of the initial component of the molten steel;
ca _ Aim: the content (%) of calcium serving as a target component of molten steel;
w _ steel: molten steel weight (kg);
ca _ Line _ sensitivity: linear density of calcium wire (kg/m);
ca _ Concent: calcium content of C calcium line
Ca _ Per: the yield of the calcium line;
d. calculating the length of the boron iron wire
Calculating the formula:
Leng_B＝(B_Aim-B_ini)/100*W_steel/(B_Concent/100)/(B_Per/100)/B_Line_Density
b _ Per extracts in the database table 3 the yields B _ Per1, B _ Per2, … …, of the nearest n (n >0) furnace to which the boron iron wire was fed,
Half the sum of the mean and median of B _ Pern, i.e.
B_Per＝(AVG(B_Per1、B_Per2、……、B_Pern)
+MEDI(B_Per1、B_Per2、……、B_Pern))/2
Wherein: leng _ B: boron iron wire length (m);
b _ Ini: boron content (%) as an initial component of molten steel;
b _ Aim: the boron content (%) of the molten steel target component;
w _ steel: molten steel weight (kg);
b _ Line _ sensitivity: linear density of ferroboron wire (kg/m);
b _ Concent: calcium content of ferroboron wire
B _ Per: yield of calcium line.
As a modification of the present invention, in the step (4), the wire feeding start control module of L2 controls the wire feeding; specifically, as follows, the following description will be given,
setting a wire feeding start button on an L2 operation screen (L2HMI), and executing the following steps according to the priority (assuming the priority order is A, B flow) of the two-flow wire feeding determined in the step (2) after a field operator presses the wire feeding start button;
1) if the length of the A stream wire is A _ Length > Fix _ Length, the wire feeding machine control L2 module sends the A stream wire feeding starting signal and the wire feeding speed to an L1PLC control module through an L1-L2 communication module; otherwise, turning to the step 7);
2) the L1PLC control module controls the flow A to feed the yarns;
3) the L1-L2 communication module periodically uploads the related information (length) of the wire feeding to the L2 data collection module;
4) when the actual wire feeding length A _ Length _ Act > is judged to be A _ Length, the wire feeding machine control L2 module sends an A flow wire feeding end signal L1-L2 communication module to the L1PLC control module; otherwise, the time delay delta t is continuously judged until A _ Leng _ Act > is equal to A _ Leng;
5) the L1PLC control module controls the A flow to stop feeding;
6) delay delta t1 (prevent the mutual winding of 2-stream silk threads to cause production accidents, delay delta t1 can ensure that one stream of silk feeding is completely stopped, the other stream of silk feeding is not started yet, the mutual winding of silk threads can not occur, generally, the value is about 1.5 minutes, and is determined according to the accuracy of silk feeding control);
7) if the length of the B-flow wire is B _ Leng >0, the wire feeder control L2 module sends a B-flow wire feeding start signal L1-L2 communication module to an L1PLC control module; otherwise, turning to the step (5);
8) the L1PLC control module controls the flow B to feed the yarns;
9) the L1-L2 communication module periodically uploads the related information (length) of the wire feeding to the L2 data collection module;
10) when the actual wire feeding length B _ Leng _ Act > is judged to be B _ Leng, the wire feeding machine control L2 module sends a B flow wire feeding end signal L1-L2 communication module to the L1PLC control module; otherwise, the time delay delta t is continuously judged until B _ Leng _ Act > is equal to B _ Leng;
11) and the L1PLC control module controls the flow B to stop feeding the yarns.
As an improvement of the invention, in the step (7), the self-learning module for the yield of the silk threads L2 calculates the yield of various silk threads according to the actual silk feeding amount, the initial condition and the end condition of the molten steel,
the method for calculating the yield of various silk threads comprises the following steps:
1) adjusting the yield of the aluminum wire:
calculating the 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 length (m) of the actual aluminum feeding wire;
al _ ini: aluminum content (%) as an initial component of molten steel;
al _ fin: the end point component aluminum content (%) of the molten steel;
w _ steel: molten steel weight (kg);
o _ ini: oxygen content (%) as an initial component of molten steel;
o _ fin: the oxygen content (%) of the molten steel end point component;
al _ Line _ sensitivity: linear density of aluminum wire (kg/m);
al _ Concent: the aluminum wire contains aluminum in percentage;
2) adjusting the yield of carbon wire:
calculating the 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 length (m) of the actual carbon feeding line;
c _ ini: carbon content (%) of an initial component of molten steel;
c _ fin: carbon content (%) as an end point component of molten steel;
w _ steel: molten steel weight (kg);
c _ Line _ sensitivity: linear density of carbon wire (kg/m);
c _ Concent: the percentage composition of carbon in the carbon line;
3) adjusting the yield of calcium ray:
calculating the 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 length (m) of the actual calcium feeding line;
ca _ ini: the calcium content (%) of the initial component of the molten steel;
ca _ fin: the content (%) of calcium as an end-point component of molten steel;
w _ steel: molten steel weight (kg);
ca _ Line _ sensitivity: linear density of calcium wire (kg/m);
ca _ Concent: the calcium content of the calcium in the calcium line is as per hundred;
4) adjusting the yield of the boron iron wire:
B_Per＝[B_fin-B_ini]/100*W_steel/(B_Concent/100)/B_Line_Density/Leng_B_Act*100
wherein: leng _ B _ Act: the length (m) of the actual boron iron feeding wire;
b _ ini: boron content (%) as an initial component of molten steel;
b _ fin: the boron content (%) of the molten steel end point component;
w _ steel: molten steel weight (kg);
b _ Line _ sensitivity: linear density of ferroboron wire (kg/m);
b _ Concent: the percentage composition content of boron in the ferroboron wire.
Compared with the prior art, the invention has the following advantages that 1) the technology for automatically calculating the type and the length of the silk thread related to the technical scheme comprises the following steps: the method has the advantages that firstly, errors caused by manual calculation are avoided, so that the control precision is higher, secondly, manual calculation is not needed, and the labor intensity of workers is reduced; 2) the priority judging technology of wire feeding: because of process reasons, the sequence of feeding some wires into the molten steel has strict process requirements, and the setting of priority can avoid the influence on the quality of the molten steel caused by wrong setting of the wire feeding sequence; 3) the automatic control technology of the wire feeding machine comprises the following steps: after the initial button of the wire feeding operation acts, all the actions are intelligently controlled by a computer, so that the labor intensity can be reduced, the control precision can be improved, and the auxiliary time of production can be reduced; 4) the time setting technology of the wire feeding interval comprises the following steps: by setting a time interval, the end of one flow and the non-start of the other flow can be ensured, the phenomenon of mutual winding of the silk threads can not occur, and the production accidents caused by the mutual winding of the 2-flow silk threads can be effectively prevented; 5) the automatic learning technology of the silk thread yield: due to the reasons of errors of wire feeding machine control, difference of linear densities of wires in different batches, reaction degree of alloy elements and the like, the influence is relatively complex, the influence is totally converted into the factor of yield based on the convenience of control, and the complexity of control is simplified; 6) this technical scheme is simple, and convenient to use through this method, reduces intensity of labour: the control of the wire feeding amount and the wire feeding process is changed from manual control into computer intelligent control, so that the labor intensity of production workers is reduced; the production efficiency is improved: the wire feeding operation is intelligently controlled by a computer, so that the auxiliary time of production is reduced, and the production efficiency is improved; the production cost is reduced: because the length of the silk thread is calculated manually, in order to ensure the requirement of the target component, the silk thread is generally controlled according to the upper limit, and the cost is inevitably high; according to the statistical analysis of the 3-seat LF refining wire feeding data of the plum steel, the cost of each ton of steel is reduced by 0.56 yuan before and after the technology is used.
Drawings
FIG. 1 is a diagram of modules and their relationship for two-stream wire feed control in ladle refining;
FIG. 2 shows a two-stream wire-feeding control flow of a ladle refining furnace;
in fig. 1: 1. an L2 parameter storage and maintenance module; 2. an L2 data collection module; 3. an L2 filament calculation module; 4. the L2 silk thread yield self-learning module; 5. an L1-L2 communication module; 6. and an L1PLC control module.
The specific implementation mode is as follows:
for the purpose of enhancing an understanding of the present invention, the present embodiment will be described in detail below with reference to the accompanying drawings.
Example 1: the utility model provides a ladle refining furnace two flows wire feeder intelligence control system, includes two control system: the process control system L2 system is mainly used for process control, parameter setting and process data collection and storage of production control; the basic automation control system L1 is mainly used for controlling related actions of equipment through a PLC.
The intelligent control system of the two-flow wire feeder of the ladle refining furnace comprises the following control modules: (1) l2 parameter storage and maintenance module: the device is used for storing and maintaining the types of the silk threads of the silk feeding machine and relevant parameters required for calculating the length of the silk threads; (2) l2 data collection module: for collecting relevant process data for a production run; (3) l2 filament calculation module: calculating the required wire feeding amount according to the initial condition and the target requirement of the molten steel; (4) the L2 silk thread yield self-learning module: calculating the yield of the silk thread elements according to the actual silk feeding amount, the initial condition and the end point component of the molten steel; (5) L1-L2 communication Module: the communication between the L2 and the L1 is realized by adopting a TCP/IP protocol through Ethernet; (6) l1PLC control module: the device is used for controlling the action of relevant equipment according to the calculation result of the received L2 silk thread calculation module and controlling the silk feeding machine to feed the silk.
An intelligent control method of a two-flow wire feeder of a ladle refining furnace comprises the following control steps:
(1) the L2 parameter storage and maintenance module stores relevant parameters of the silk thread and the silk thread feeding machine, and when the parameters change, a process engineer carries out maintenance on relevant pictures, and the maintenance comprises the following aspects of data storage and maintenance:
1) establishing a table in a system database, storing the types of the silk threads and related parameters, wherein the table mainly comprises silk thread codes, silk thread names (aluminum wires, carbon wires, calcium wires and ferroboron wires), linear density, main components, main component content and yield thereof, and the table 1 shows;
TABLE 1 Silk thread parameter table
| Silk thread code | Name of silk thread | Principal Components | Content (%) | Linear Density (kg/m) |
| 301 | Aluminum wire | Al | ||
| 302 | Carbon wire | C | ||
| 303 | Calcium wire | Ca | ||
| 304 | FerroboronThread | B |
2) And establishing a table in a system database, and storing the silk types and the priority of the silk feeding sequence respectively corresponding to the two flows of the silk feeding machine, as shown in a table 2.
TABLE 2 parameter table of wire feeder
| Thread feeding machine flow number | Silk thread code | Priority of wire feed | Length limit | Wire feed speed (m/s) |
| A | ||||
| B |
3) Establishing a table in a system database, and storing the yield of the silk threads corresponding to each heat, as shown in table 3;
TABLE 3 furnace number silk thread yield parameter table
| Heat of furnace | Silk thread code | Yield (%) | Data storage time |
| 3071201 | |||
| 3071201 | |||
| ...... | |||
| 3071563 |
(2) The L2 data collection module collects relevant parameters required for calculation, including parameters in the L2 parameter setting module and initial and target conditions of molten steel:
1) initial components of molten steel;
2) molten steel target composition;
3) the silk thread types corresponding to the two flows of the silk feeding machine;
4) the linear density of the various filaments;
5) yield of the corresponding main component of each silk thread.
(3) The L2 silk thread calculating module calculates the quantity of the corresponding silk thread type of the silk thread feeding machine;
the wire feeder has only 2 flows, and when the wire feeding amount is calculated before molten steel is fed into a certain furnace, only the type and the length of the wire corresponding to the flow filled with the wire are calculated.
1) Determining the type of computing thread
And (4) searching and obtaining the types of the two flows of the silk feeders respectively corresponding to the silk threads, and calculating the length of the silk threads and the priority of the silk feeding according to the types of the two flows of the silk feeders. If the thread corresponding to the stream a is the code 301, the thread corresponding to the stream B is the code 302, the priority order is that the stream a is 1, the stream B is 2, and the length limits are 15 meters and 15 meters respectively, the length a _ leng of the thread (aluminum line) of the stream a and the length B _ leng of the thread (aluminum line) of the stream B need to be calculated, and the thread feeding priority is the order of the stream a and the stream B. When the calculated length of a certain silk thread is smaller than a certain fixed value Fix _ Leng (15 meters), the calculated length is set to be 0, so that the problems that the silk thread amount is small and the silk thread feeding is carried out due to the calculation of data errors (within an allowable range), the cost is increased, the smelting time is prolonged, and the quality of molten steel is influenced are avoided.
2) Method for calculating length of silk thread
a. Calculating the length of the aluminum wire
Calculating the 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 in the database table 3 the yields Al _ Per1, Al _ Per2, … …, of the nearest n (n >0) furnace to which the aluminum wire was fed,
Half of the sum of the mean and median of Al _ Pern, i.e.
Al_Per＝(AVG(Al_Per1、Al_Per2、……、Al_Pern)
+MEDI(Al_Per1、Al_Per2、……、Al_Pern))/2
AVG denotes the average of several numbers and MEDI denotes the median of several numbers.
Wherein: leng _ Al: aluminum wire length (m);
al _ ini: aluminum content (%) as an initial component of molten steel;
al _ Aim: the aluminum content (%) of the target component of the molten steel;
w _ steel: molten steel weight (kg);
o _ ini: oxygen content (%) as an initial component of molten steel;
o _ Aim: the oxygen content (%) of the target component of the molten steel;
al _ Line _ sensitivity: linear density of aluminum wire (kg/m);
al _ Concent: aluminum wire with aluminum content
Al _ Per: the yield of the aluminum wire is the percentage of aluminum which really participates in the reaction.
b. Calculating the length of the carbon line
Calculating the formula:
Leng_C＝(C_Aim-C_ini)/100*W_steel/(C_Concent/100)/(C_Per/100)/C_Line_Density
c _ Per extracts in the database table 3 the yield C _ Per1, C _ Per2, … … of the nearest n (n >0) furnace of the carbon feeding line, half of the sum of the mean and median, i.e. the median of C _ Per
C_Per＝(AVG(C_Per1、C_Per2、……、C_Pern)
+MEDI(C_Per1、C_Per2、……、C_Pern))/2
AVG denotes the average of several numbers and MEDI denotes the median of several numbers.
Wherein: leng _ C: carbon wire length (m);
c _ Ini: carbon content (%) of an initial component of molten steel;
c _ Aim: carbon content (%) of a target component of molten steel;
w _ steel: molten steel weight (kg);
c _ Line _ sensitivity: linear density of carbon wire (kg/m);
c _ Concent: percentage composition of carbon in carbon wire
C _ Per: yield of carbon line.
c. Calculating the length of the calcium line
Calculating the formula:
Leng_Ca＝(Ca_Aim-Ca_ini)/100*W_steel/(Ca_Concent/100)/(Ca_Per/100)/Ca_Line_Density
ca _ Per extracts in database table 3 the yields Ca _ Per1, Ca _ Per2, … …, of the nearest n (n >0) furnace to which the calcium line was fed,
Half the sum of the mean and median of Ca _ Brn, i.e.
Ca_Per＝(AVG(Ca_Per1、Ca_Per2、……、Ca_Pern)
+MEDI(Ca_Per1、Ca_Per2、……、Ca_Pern))/2
Wherein: leng _ Ca: calcium wire length (m);
ca _ Ini: the calcium content (%) of the initial component of the molten steel;
ca _ Aim: the content (%) of calcium serving as a target component of molten steel;
w _ steel: molten steel weight (kg);
ca _ Line _ sensitivity: linear density of calcium wire (kg/m);
ca _ Concent: calcium content of C calcium line
Ca _ Per: yield of calcium line.
d. Calculating the length of the boron iron wire
Calculating the formula:
Leng_B＝(B_Aim-B_ini)/100*W_steel/(B_Concent/100)/(B_Per/100)/B_Line_Density
b _ Per extracts in the database table 3 the yields B _ Per1, B _ Per2, … …, of the nearest n (n >0) furnace to which the boron iron wire was fed,
Half the sum of the mean and median of B _ Pern, i.e.
B_Per＝(AVG(B_Per1、B_Per2、……、B_Pern)
+MEDI(B_Per1、B_Per2、……、B_Pern))/2
Wherein: leng _ B: boron iron wire length (m);
b _ Ini: boron content (%) as an initial component of molten steel;
b _ Aim: the boron content (%) of the molten steel target component;
w _ steel: molten steel weight (kg);
b _ Line _ sensitivity: linear density of ferroboron wire (kg/m);
b _ Concent: calcium content of ferroboron wire
B _ Per: yield of calcium line.
(4) L2 thread feeding start control module controls thread feeding
Because the wire feeding machine is mechanically related to the safety of field personnel, the action of wire feeding is manually controlled according to the actual situation of the field for safety, and personal injury accidents caused by the operation of people nearby the wire feeding machine are prevented. A wire feed start button is provided on the L2 operation screen (L2 HMI). After pressing a wire feeding start button, the field operator executes the following steps according to the priority (assuming the priority order is A, B flow) of the two-flow wire feeding determined in the step (2): 1) if the length of the A stream wire is A _ Length > Fix _ Length, the wire feeding machine control L2 module sends the A stream wire feeding starting signal and the wire feeding speed to an L1PLC control module through an L1-L2 communication module; otherwise, turning to the step 7);
2) the L1PLC control module controls the flow A to feed the yarns;
3) the L1-L2 communication module periodically uploads the related information (length) of the wire feeding to the L2 data collection module;
4) when the actual wire feeding length A _ Length _ Act > is judged to be A _ Length, the wire feeding machine control L2 module sends an A flow wire feeding end signal L1-L2 communication module to the L1PLC control module; otherwise, continuously judging the time delay delta t;
5) the L1PLC control module controls the A flow to stop feeding;
6) delay delta t1 (prevent the mutual winding of 2-stream silk threads to cause production accidents, delay delta t1 can ensure that one stream of silk feeding is completely stopped, the other stream of silk feeding is not started yet, the mutual winding of silk threads can not occur, generally, the value is about 1.5 minutes, and is determined according to the accuracy of silk feeding control);
7) if the length of the B-flow wire is B _ Leng >0, the wire feeder control L2 module sends a B-flow wire feeding start signal L1-L2 communication module to an L1PLC control module; otherwise, turning to the step (5);
8) the L1PLC control module controls the flow B to feed;
9) the L1-L2 communication module periodically uploads the related information (length) of the wire feeding to the L2 data collection module;
10) when the actual wire feeding length B _ Leng _ Act > is judged to be B _ Leng, the wire feeding machine control L2 module sends a B flow wire feeding end signal L1-L2 communication module to the L1PLC control module; otherwise, continuously judging the time delay delta t;
11) the L1PLC control module controls the flow B to stop feeding;
(5) the L1-L2 communication module uploads the related information of the wire feeding to the L2 data collection module;
(6) delay delta t2 (delay delta t1 can ensure the wire feeding to stop completely, generally takes about 1.5 minutes, and is determined according to the accuracy of wire feeding control);
(7) the L2 silk thread yield self-learning module calculates the yield of various silk threads according to the actual silk feeding amount, the initial condition and the end condition of molten steel.
When the smelting of the heat is finished at the station, the module is started to calculate the yield of the wire elements of the heat after the end-point components of the molten steel are received, and the calculated yield is stored in the table 3. The method of calculating the yield of each yarn was as follows.
1) Adjusting the yield of the aluminum wire:
calculating the 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 length (m) of the actual aluminum feeding wire;
al _ ini: aluminum content (%) as an initial component of molten steel;
al _ fin: the end point component aluminum content (%) of the molten steel;
w _ steel: molten steel weight (kg);
o _ ini: oxygen content (%) as an initial component of molten steel;
o _ fin: the oxygen content (%) of the molten steel end point component;
al _ Line _ sensitivity: linear density of aluminum wire (kg/m);
al _ Concent: the aluminum wire contains aluminum in percentage.
2) Adjusting the yield of carbon wire:
calculating the 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 length (m) of the actual carbon feeding line;
c _ ini: carbon content (%) of an initial component of molten steel;
c _ fin: carbon content (%) as an end point component of molten steel;
w _ steel: molten steel weight (kg);
c _ Line _ sensitivity: linear density of carbon wire (kg/m);
c _ Concent: percentage composition of carbon in carbon wire
3) Adjusting the yield of calcium ray:
calculating the 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 length (m) of the actual calcium feeding line;
ca _ ini: the calcium content (%) of the initial component of the molten steel;
ca _ fin: the content (%) of calcium as an end-point component of molten steel;
w _ steel: molten steel weight (kg);
ca _ Line _ sensitivity: linear density of calcium wire (kg/m);
ca _ Concent: the calcium content of the calcium line is one hundred
4) Adjusting the yield of the boron iron wire:
B_Per＝[B_fin-B_ini]/100*W_steel/(B_Concent/100)/B_Line_Density/Leng_B_Act*100
wherein: leng _ B _ Act: the length (m) of the actual boron iron feeding wire;
b _ ini: boron content (%) as an initial component of molten steel;
b _ fin: the boron content (%) of the molten steel end point component;
w _ steel: molten steel weight (kg);
b _ Line _ sensitivity: linear density of ferroboron wire (kg/m);
b _ Concent: the percentage composition content of boron in the ferroboron wire.
Application example 2:
the 3071256 th furnace of the 2 nd LF ladle refining furnace for smelting steel-smelting steel is taken as an example for illustration.
(1) Parameter maintenance:
1) thread parameter maintenance
| Silk thread code | Name of silk thread | Principal Components | Content (%) | Linear Density (kg/m) |
| 301 | Aluminum wire | Al | 95 | 0.35 |
| 302 | Carbon wire | C | 85 | 0.12 |
| 303 | Calcium wire | Ca | 87 | 0.42 |
| 304 | Boron iron wire | B | 63 | 0.65 |
2) Wire feeder parameter maintenance
| Thread feeding machine flow number | Silk thread code | Priority of wire feed | Length limit | Wire feed speed (m/s) |
| A | 301 | 1 | 20 | 3.5 |
| B | 303 | 2 | 20 | 3.5 |
3) The furnace thread yield parameter table stores data
| Heat of furnace | Silk thread code | Yield (%) | Data storage time |
| 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) The L2 data collection module collects relevant parameters needed for calculation, including parameters in the L2 parameter setting module and initial conditions and target requirements for molten steel:
1) initial components of molten steel;
2) molten steel target composition;
3) the silk thread types corresponding to the two flows of the silk feeding machine;
4) the linear density of the various filaments;
5) yield of the corresponding main component of each silk thread.
(3) The L2 silk thread calculating module calculates the quantity of the corresponding silk thread type of the silk thread feeding machine;
1) determining the type of computing thread
Looking up the table 2, the obtained silk thread corresponding to the stream A is the code 301, the obtained silk thread corresponding to the stream B is the code 303, the priority order is that the stream A is 1, the stream B is 2, the length limits are 20 meters and 20 meters respectively, and the silk feeding speed is 3.5m/s respectively. The wire codes 301, 3.3 correspond to the aluminum and calcium wires, respectively, and the lengths of the aluminum and calcium wires need to be calculated.
2) Calculating the lengths of the aluminum wire and the calcium wire respectively
a. Calculating the length of the aluminum wire
Leng_Al＝[(Al_Aim-Al_ini)+(O_ini-O_Aim)/2*3]/100*W_steel/(Al_Concent/100)/(Al_Per/100)/Al_Line_Density
＝[(0.0032-0.0001)+(0.04-0.0002)/2*3]/100*156*1000/(95/100)/(Al_Per/100)/0.35 (1)
The yield of the most recent 10-furnace aluminum wire fed with the aluminum wire is obtained in the lookup table 3, and the average value and the median value are taken to be half to obtain 93.5
In the formula (1), the calculation results
Leng _ Al 315.2 m
b. Calculating the length of the calcium line
Calculating the 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 yield of the most recent 10-furnace aluminum wire fed with the calcium wire is found in the look-up table 3, and the average value and the median value are taken to be half and found to be 94.6, which is obtained in the formula (2)
Leng _ Ca ═ 0.0124-0.0001)/100 ═ 156 ═ 1000/(85/100)/(94.6/100)/0.12 ═ 198.85 m
(4) L2 thread feeding start control module controls thread feeding
According to the priority order of the two-flow silk feeding determined in the step (2) as A, B flows, the following steps are carried out:
1) because the length B _ Leng of the A-flow wire is greater than the limit value of the A-flow wire by 20 meters, the wire feeding machine control L2 module sends the wire feeding speed of the A-flow wire to the L1PLC control module through the L1-L2 communication module
2) The L1PLC control module controls the flow A to feed the yarns;
3) the L1-L2 communication module periodically uploads the related information (length) of the wire feeding to the L2 data collection module;
4) when the actual wire feeding length A _ Leng _ Act > is judged to be 315.2, the wire feeding machine control L2 module sends an A flow wire feeding end signal L1-L2 communication module to the L1PLC control module; otherwise, delaying for 5 seconds to continue judging until A _ Leng _ Act > is 315.2;
5) the L1PLC control module controls the A flow to stop feeding;
6) the time delay is 1 minute (delta t1 generally takes about 1.5 minutes, and the value of the wire feeder is 1 minute according to the performance of the wire feeder);
7) the wire feeding machine control L2 module sends a B flow wire feeding start signal L1-L2 communication module to an L1PLC control module because the length B _ Leng of the B flow wire is greater than the limit value of the B flow wire by 20 meters);
8) the L1PLC control module controls the flow B to feed the yarns;
9) the L1-L2 communication module periodically uploads the related information (length) of the wire feeding to the L2 data collection module;
10) when the actual feeding length B _ Leng _ Act > is judged to be 198.85, the feeding machine control L2 module sends a B flow feeding ending signal L1-L2 communication module to the L1PLC control module; otherwise, continuing to judge after delaying for 5 seconds, and B _ Leng _ Act > -198.85;
11) the L1PLC control module controls the flow B to stop feeding;
(5) the L1-L2 communication module uploads the related information of the wire feeding to the L2 data collection module;
(6) the time delay is 2 seconds (delta t2 generally takes about 2 minutes, and the wire feeder takes 2 minutes according to the performance of the wire feeder);
(7) the L2 silk thread yield self-learning module calculates the yield of various silk threads according to the actual silk feeding amount, the initial condition and the end condition of molten steel.
When the heat is finished in the station, after the end point component is received, the module is started to calculate the yield of the silk thread of the heat, and the yield obtained by calculation is stored in a table 3. The method of calculating the yield of each yarn was as follows.
1) Calculating the yield of the aluminum wire quantity:
calculating the 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) calculating the yield of calcium ray:
calculating the 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 calculated aluminum wire yield and calcium wire yield data are stored in table 3, respectively.
Application example 3:
the 5073247 th furnace of the LF ladle refining furnace No. 1 for smelting the second steel of the plum steel is taken as an example for illustration.
(1) Parameter maintenance:
1) thread parameter maintenance
| Silk thread code | Name of silk thread | Principal Components | Content (%) | Linear Density (kg/m) |
| 301 | Aluminum wire | Al | 95 | 0.35 |
| 302 | Carbon wire | C | 85 | 0.12 |
| 303 | Calcium wire | Ca | 87 | 0.42 |
| 304 | Boron iron wire | B | 63 | 0.65 |
2) Wire feeder parameter maintenance
| Thread feeding machine flow number | Silk thread code | Priority of wire feed | Length limit | Wire feed speed (m/s) |
| A | 301 | 1 | 20 | 4.2 |
| B | 303 | 2 | 20 | 4.2 |
3) The furnace thread yield parameter table stores data
| Heat of furnace | Silk thread code | Yield (%) | Data storage time |
| 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) The L2 data collection module collects relevant parameters needed for calculation, including parameters in the L2 parameter setting module and initial conditions and target requirements for molten steel:
1) initial components of molten steel;
2) molten steel target composition;
3) the silk thread types corresponding to the two flows of the silk feeding machine;
4) the linear density of the various filaments;
5) yield of the corresponding main component of each silk thread.
(3) The L2 silk thread calculating module calculates the quantity of the corresponding silk thread type of the silk thread feeding machine;
1) determining the type of computing thread
Looking up the table 2, the obtained silk thread corresponding to the stream A is the code 301, the obtained silk thread corresponding to the stream B is the code 303, the priority order is that the stream A is 1, the stream B is 2, the length limits are 20 meters and 20 meters respectively, and the silk feeding speed is 4.2m/s respectively. The wire codes 301, 3.3 correspond to the aluminum and calcium wires, respectively, and the lengths of the aluminum and calcium wires need to be calculated.
2) Calculating the lengths of the aluminum wire and the calcium wire respectively
a. Calculating the length of the aluminum wire
Leng_Al＝[(Al_Aim-Al_ini)+(O_ini-O_Aim)/2*3]/100*W_steel/(Al_Concent/100)/(Al_Per/100)/Al_Line_Density
＝[(0.0001-0.0001)+(0.039-0.0001)/2*3]/100*256*1000/(95/100)/(Al_Per/100)/0.35 (1)
The yield of the most recent 10-furnace aluminum wire fed with the aluminum wire is obtained in the lookup table 3, and the average value and the median value are taken to be half and 94.6 is obtained
In the formula (1), the calculation results
Leng _ Al 474.9 m
b. Calculating the length of the calcium line
Calculating the 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 yield of the most recent 10-furnace aluminum wire fed with the calcium wire is obtained in the lookup table 3, the average value and the median value are taken to be half, 93.8 is obtained, and the yield is obtained in the formula (2)
Leng _ Ca 0 m
(4) L2 thread feeding start control module controls thread feeding
And (3) according to the A, B flow priority of the two-flow wire feeding determined in the step (2), executing the following steps.
1) Because the length B _ Leng of the A-flow wire is greater than the limit value of the A-flow wire by 20 meters, the wire feeding machine control L2 module sends the wire feeding speed of the A-flow wire to the L1PLC control module through the L1-L2 communication module
2) The L1PLC control module controls the flow A to feed the yarns;
3) the L1-L2 communication module periodically uploads the related information (length) of the wire feeding to the L2 data collection module;
4) when the actual wire feeding length A _ Leng _ Act > is judged to be 474.9, the wire feeding machine control L2 module sends an A flow wire feeding end signal L1-L2 communication module to the L1PLC control module; (ii) a Otherwise, delaying for 5 seconds to continue judging, and A _ Leng _ Act > -474.9;
5) the L1PLC control module controls the A flow to stop feeding;
6) the time delay is 1.5 minutes (delta t1 generally takes about 1.5 minutes, and the wire feeder takes 1.5 minutes according to the performance of the wire feeder);
7) the wire feeding is stopped because the length B _ Leng of the B-flow wire is less than the limit value of the B-flow wire by 20 meters;
(5) the L1-L2 communication module uploads the related information of the wire feeding to the L2 data collection module;
(6) the delay is 2.5 seconds (delta t2 generally takes about 2 minutes, and the wire feeder takes 2.5 minutes according to the performance of the wire feeder);
(7) the L2 silk thread yield self-learning module calculates the yield of various silk threads according to the actual silk feeding amount, the initial condition and the end condition of molten steel.
When the heat is finished in the station, after the end point component is received, the module is started to calculate the yield of the silk thread of the heat, and the yield obtained by calculation is stored in a table 3. The method of calculating the yield of each yarn was as follows.
Calculating the yield of the aluminum wire quantity:
calculating the 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 calculated aluminum wire yield data are stored in table 3, respectively.
It should be noted that the above-mentioned embodiments are not intended to limit the scope of the present invention, and all equivalent modifications and substitutions based on the above-mentioned technical solutions are within the scope of the present invention as defined in the claims.
Claims (3)
1. The control method of the intelligent control system of the two-flow wire feeder of the ladle refining furnace comprises an L2 parameter storage and maintenance module, an L2 data collection module, an L2 silk thread yield self-learning module, an L2 silk thread calculation module, an L1-L2 communication module and an L1PLC control module,
the L2 parameter storage and maintenance module is used for storing and maintaining the types of the silk threads of the silk thread feeding machine and relevant parameters required by calculating the length of the silk threads;
the L2 data collection module is used for collecting relevant process data of the production heat;
the L2 silk thread calculating module is used for calculating the required silk feeding amount according to the initial condition and the target requirement of the molten steel;
the L2 silk thread yield self-learning module calculates the yield of silk thread elements according to the actual silk feeding amount, the initial condition of molten steel and the end point component;
the L1-L2 communication module is used for realizing the communication between the L2 and the L1 by adopting a TCP/IP protocol through Ethernet;
l1PLC control module: the device is used for controlling the action of relevant equipment according to the calculation result of the received L2 silk thread calculation module and controlling the silk feeding machine to feed the silk;
the method is characterized by comprising the following steps:
step (1) the L2 parameter storage and maintenance module stores related parameters of the silk thread and the silk thread feeding machine,
step (2) the L2 data collection module collects relevant parameters required by calculation, including parameters in the L2 parameter setting module and initial conditions and target conditions of molten steel:
step (3), calculating the quantity of the silk thread types corresponding to the silk thread feeding machine by using an L2 silk thread calculation module;
step (4), controlling the wire feeding by an L2 wire feeding starting control module;
step (5), the L1-L2 communication module uploads the related information of the wire feeding to the L2 data collection module;
delaying delta t2, wherein the delay delta t1 can ensure that the wire feeding is completely stopped, and the value is 1.5 minutes, which is determined according to the accuracy of wire feeding control;
step (7), an L2 silk thread yield self-learning module calculates the yields of various silk threads according to the actual silk feeding amount, the initial condition and the end condition of molten steel;
the L2 parameter storage and maintenance module in the step (1) stores related parameters of the silk thread and the silk feeder as follows: when the parameters are changed, the process engineer maintains the parameters on the related screen, and the data storage and maintenance comprise the following aspects:
1) establishing a table in a system database, storing the types and related parameters of the silk threads, wherein the types and related parameters mainly comprise silk thread codes, silk thread names, namely aluminum wires, carbon wires, calcium wires and ferroboron wires, and linear density, main components, main component content and yield of the main components;
2) establishing a table in a system database, storing the silk thread types and the priority of the silk thread feeding sequence respectively corresponding to the silk thread feeders,
3) and establishing a table in a system database, and storing the yield of the silk threads corresponding to each heat.
2. The method for controlling the intelligent control system of the ladle refining furnace two-flow wire feeder according to claim 1, wherein the step (2) the L2 data collection module collects relevant parameters required for calculation, including parameters in the L2 parameter setting module and initial and target conditions of molten steel, and is as follows:
1) initial components of molten steel;
2) molten steel target composition;
3) the silk thread types corresponding to the two flows of the silk feeding machine;
4) the linear density of the various filaments;
5) the yield of the corresponding main component of each silk thread;
the L2 silk thread calculating module in the step (3) calculates the quantity of the corresponding silk thread types of the silk thread feeding machine, specifically as follows,
1) determining the type of the calculation silk thread;
2) calculating the length of the silk thread;
a. calculating the length of the aluminum wire
Calculating the 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 the yield Al _ Per1 of the nearest n, n >0 furnace for feeding aluminum wire in the database,
Half the sum of the mean and median of Al _ Per2, … …, Al _ Pern, i.e.
Al_Per＝(AVG(Al_Per1、Al_Per2、……、Al_Pern)+MEDI(Al_Per1、Al_Per2、……、Al_Pern))÷2
AVG represents the average value of a plurality of numbers, MEDI represents the median of the plurality of numbers;
wherein: leng _ Al: aluminum wire length (m);
al _ ini: aluminum content (%) as an initial component of molten steel;
al _ Aim: the aluminum content (%) of the target component of the molten steel;
w _ steel: molten steel weight (kg);
o _ ini: oxygen content (%) as an initial component of molten steel;
o _ Aim: the oxygen content (%) of the target component of the molten steel;
al _ Line _ sensitivity: linear density of aluminum wire (kg/m); the linear density of the aluminum wire refers to the mass of the aluminum wire in unit length, the aluminum wire is the aluminum wire with different batches and specifications of the same coil of aluminum wire and the linear density is different;
al _ Concent: aluminum wire with aluminum content
Al _ Per: the yield of the aluminum wire, namely the percentage composition ratio of aluminum which really participates in the reaction;
b. calculating the length of the carbon line
Calculating the formula:
Leng_C＝(C_Aim-C_ini)÷100×W_steel÷(C_Concent÷100)÷(C_Per÷100)÷C_Line_Density
c _ Per extracts the nearest n, n >0 of the carbon feeding line in the database, the yield of the furnace C _ Per1,
Half the sum of the mean and median of C _ Per2, … …, C _ Pern, i.e., C _ Per
C_Per＝(AVG(C_Per1、C_Per2、……、C_Pern)+MEDI(C_Per1、C_Per2、……、C_Pern))÷2
AVG represents the average value of a plurality of numbers, MEDI represents the median of the plurality of numbers;
wherein: leng _ C: carbon wire length (m);
c _ ini: carbon content (%) of an initial component of molten steel;
c _ Aim: carbon content (%) of a target component of molten steel;
w _ steel: molten steel weight (kg);
c _ Line _ sensitivity: linear density of carbon wire (kg/m);
c _ Concent: percentage composition of carbon in carbon wire
C _ Per: the yield of the carbon line;
c. calculating the length of the calcium line
Calculating the formula:
Leng_Ca＝(Ca_Aim-Ca_ini)÷100×W_steel÷(Ca_Concent÷100)÷(Ca_Per÷100)÷Ca_Line_Density
ca _ Per extracts the yield Ca _ Per1 of the nearest n, n >0 furnace of the calcium feeding line in the database,
Half of the sum of the mean and median of Ca _ Per2, … …, Ca _ Brn, i.e., Ca _ Per2, … …
Ca_Per＝(AVG(Ca_Per1、Ca_Per2、……、Ca_Pern)+MEDI(Ca_Per1、Ca_Per2、……、Ca_Pern))÷2
Wherein: leng _ Ca: calcium wire length (m);
ca _ ini: the calcium content (%) of the initial component of the molten steel;
ca _ Aim: the content (%) of calcium serving as a target component of molten steel;
w _ steel: molten steel weight (kg);
ca _ Line _ sensitivity: linear density of calcium wire (kg/m);
ca _ Concent: the calcium content of the calcium line is one hundred
Ca _ Per: the yield of the calcium line;
d. calculating the length of the boron iron wire
Calculating the formula:
Leng_B＝(B_Aim-B_ini)÷100×W_steel÷(B_Concent÷100)÷(B_Per÷100)÷B_Line_Density
b _ Per extracts the nearest n, n >0 of the boron iron wire in the database, the furnace yield B _ Per1,
B _ Per2, … …, half of the sum of the mean and median of B _ Pern, i.e. B _ Per
B_Per＝(AVG(B_Per1、B_Per2、……、B_Pern)+MEDI(B_Per1、B_Per2、……、B_Pern))÷2
Wherein: leng _ B: boron iron wire length (m);
b _ ini: boron content (%) as an initial component of molten steel;
b _ Aim: the boron content (%) of the molten steel target component;
w _ steel: molten steel weight (kg);
b _ Line _ sensitivity: linear density of ferroboron wire (kg/m);
b _ Concent: boron content of ferroboron wire
B _ Per: the yield of the boron wire;
the wire feeding starting control module of the step (4) L2 controls wire feeding; specifically, as follows, the following description will be given,
setting a wire feeding start button on an L2HMI (human machine interface) on an L2 operation screen, pressing the wire feeding start button by a field operator, and then executing the following steps according to the determined priority of two-stream wire feeding and assuming that the priority order is A, B streams:
1) if the A stream wire length A _ Length is greater than Fix _ Length, the process control system (L2) sends an A stream wire feeding starting signal and a wire feeding speed to the L1PLC control module through the L1-L2 communication module; otherwise, turning to the step 7);
2) the L1PLC control module controls the A flow to feed;
3) the L1-L2 communication module periodically uploads the related information of the wire feeding to the L2 data collection module;
4) when the actual wire feeding length A _ Length _ Act > is judged to be A _ Length, the wire feeding machine control L2 module sends an A flow wire feeding end signal to the L1PLC control module through the L1-L2 communication module; otherwise, the time delay delta t is continuously judged until A _ Leng _ Act > is equal to A _ Leng;
5) the L1PLC control module controls the A flow to stop feeding;
6) the time delay delta t1 is used for preventing the mutual winding of the 2-stream silk threads to cause production accidents, the time delay delta t1 can ensure that one stream of silk threads are completely stopped, the other stream of silk threads is not started yet, the mutual winding of the silk threads cannot occur, the value is generally about 1.5 minutes, and the time delay delta t1 is determined according to the accuracy of silk thread feeding control;
7) if the B-stream wire length B _ Leng >0, the process control system (L2) sends a B-stream wire feeding start signal to the L1PLC control module through the L1-L2 communication module; otherwise, turning to the step 5);
8) the L1PLC control module controls the flow B to feed;
9) the L1-L2 communication module periodically uploads the related information of the wire feeding, namely the length, to the L2 data collection module;
10) when the actual wire feeding length B _ Leng _ Act > is judged to be B _ Leng, the wire feeding machine control L2 data collection module sends a B flow wire feeding ending signal to the L1PLC control module through the L1-L2 communication module; otherwise, the time delay delta t is continuously judged until B _ Leng _ Act > is equal to B _ Leng;
11) and the L1PLC control module controls the flow B to stop feeding the yarns.
3. The method for controlling the intelligent control system of the two-flow wire feeder of the ladle refining furnace according to claim 2, wherein the step (7) L2 wire yield self-learning module calculates the yields of various wires according to the actual wire feeding amount, the initial condition and the final condition of molten steel,
the method for calculating the yield of various silk threads comprises the following steps:
1) adjusting the yield of the aluminum wire:
calculating the 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 length (m) of the actual aluminum feeding wire;
al _ ini: aluminum content (%) as an initial component of molten steel;
al _ fin: the end point component aluminum content (%) of the molten steel;
w _ steel: molten steel weight (kg);
o _ ini: oxygen content (%) as an initial component of molten steel;
o _ fin: the oxygen content (%) of the molten steel end point component;
al _ Line _ sensitivity: linear density of aluminum wire (kg/m);
al _ Concent: the aluminum wire contains aluminum in percentage;
2) adjusting the yield of carbon wire:
calculating the 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 length (m) of the actual carbon feeding line;
c _ ini: carbon content (%) of an initial component of molten steel;
c _ fin: carbon content (%) as an end point component of molten steel;
w _ steel: molten steel weight (kg);
c _ Line _ sensitivity: linear density of carbon wire (kg/m);
c _ Concent: the percentage composition of carbon in the carbon line;
3) adjusting the yield of calcium ray:
calculating the 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 length (m) of the actual calcium feeding line;
ca _ ini: the calcium content (%) of the initial component of the molten steel;
ca _ fin: the content (%) of calcium as an end-point component of molten steel;
w _ steel: molten steel weight (kg);
ca _ Line _ sensitivity: linear density of calcium wire (kg/m);
ca _ Concent: the calcium content of the calcium in the calcium line is as per hundred;
4) adjusting the yield of the boron iron wire:
B_Per＝[B_fin-B_ini]÷100×W_steel÷(B_Concent÷100)÷B_Line_Density÷Leng_B_Act×100
wherein: leng _ B _ Act: the length (m) of the actual boron iron feeding wire;
b _ ini: boron content (%) as an initial component of molten steel;
b _ fin: the boron content (%) of the molten steel end point component;
w _ steel: molten steel weight (kg);
b _ Line _ sensitivity: linear density of ferroboron wire (kg/m);
b _ Concent: the percentage composition content of boron in the ferroboron wire.
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