CN105014032B - Monitoring system and monitoring method for cutting length abnormity of cast blanks - Google Patents

Monitoring system and monitoring method for cutting length abnormity of cast blanks Download PDF

Info

Publication number
CN105014032B
CN105014032B CN201410177900.3A CN201410177900A CN105014032B CN 105014032 B CN105014032 B CN 105014032B CN 201410177900 A CN201410177900 A CN 201410177900A CN 105014032 B CN105014032 B CN 105014032B
Authority
CN
China
Prior art keywords
length
strand
stream
weight
rice
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.)
Active
Application number
CN201410177900.3A
Other languages
Chinese (zh)
Other versions
CN105014032A (en
Inventor
金国平
柳凯
李旭东
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Baoshan Iron and Steel Co Ltd
Original Assignee
Baoshan Iron and Steel Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Baoshan Iron and Steel Co Ltd filed Critical Baoshan Iron and Steel Co Ltd
Priority to CN201410177900.3A priority Critical patent/CN105014032B/en
Publication of CN105014032A publication Critical patent/CN105014032A/en
Application granted granted Critical
Publication of CN105014032B publication Critical patent/CN105014032B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Testing And Monitoring For Control Systems (AREA)

Abstract

The invention provides a monitoring system and a monitoring method for cutting length abnormity of cast blanks. The monitoring method comprises: by a cutting length acquiring module, acquiring and recording the detected length of the cast blanks cut from each flow from a fixed-length cutting device of each flow; through a cast blank weight acquiring module, acquiring and recording the detected weight of the cast blanks of each flow from a cast blank weighing device of each flow; through a cast blank weight-per-meter calculating module, automatically calculating the weight per meter of the cast blanks of each flow according to the detected length of the cast blanks and the detected weight of the cast blanks; by a length abnormity recognizing module, carrying out comprehensive comparison operation, and recognizing and deducing whether the actual length of the cast blanks is abnormal or not according to the weight-per-meter data of the cast blanks of each flow; after a length abnormity signal is received by a length abnormity correcting module, automatically calculating a cut length correcting quantity; receiving the length abnormity signal and displaying the received length correcting quantity by an alarm display module; and by the fixed-length cutting device, automatically correcting a real-time length detecting value sent by a length measuring sensor. The monitoring system and the monitoring method can automatically monitor whether the cut length of continuously cast blanks is abnormal or not on line.

Description

Strand Cutting Length exception monitoring system and monitoring method
Technical field
The present invention relates to the monitoring device and monitoring method in a kind of steel-making continuous casting production process, in particulars relate to one kind and exists Line monitors the abnormal monitoring system of continuous casting billet Cutting Length and monitoring method automatically.
Background technology
In steel-making continuous casting production, from conticaster continuous drawing casting hot solidified steel stream out, need according to rear road steel rolling The requirement of technique, cuts into the strand of certain specification length, steel rolling process is transported to by way of hot-loading and hot-conveying and is rolled. Under conditions of section specification is constant, length has to comply with the requirement of steel rolling mill to the strand of conticaster production, otherwise will affect The lumber recovery of steel rolling product, increases the waste of steel, therefore, Cutting Length required precision of the steel mill to continuous casting billet is very tight Lattice, generally all configure the precision that high-precision length measurement sensor carrys out On-line Control Cutting Length on sizing cutting device.
But the strand length that cuts down to sizing cutting device of prior art lacks the means of on-line monitoring, Zhi Nengtong Cross artificial range estimation sampling observation to compare, this in continuous flow procedure due to strand cutting length caused by the abnormal institute of sizing cutting device Degree is abnormal, it is difficult to accomplish timely and effectively to find, generally requires just to be exposed when strand is sent to when steel rolling mill is rolled Come, and large batch of strand length exception is now had resulted in continuous casting producing line, product lumber recovery can be caused to substantially reduce, so as to Lost by very big.
The Chinese patent of Application No. CN201110341645.8 disclose " a kind of strand cut lengths cut after measurement dress Put ", it is mainly characterized by going manual measurement strand length with the graduated scale on the wall of ejection roller way side;Application No. The Chinese patent of CN201020631394.8 discloses " strand length on-line measurement device ", is mainly characterized by with ejection roller way one The millimeter scale and measurement bay of the band hook of side carrys out manual measurement strand length;These belong to manual measuring device, automatization's journey Degree is low, and working load is big, both inconvenient or dangerous when measuring the hot base of multithread.
The content of the invention
It is an object of the invention to provide a kind of strand Cutting Length exception monitoring system and monitoring method, be capable of achieving it is online, Continuous casting billet Cutting Length exception is automatically monitored, the shortcoming for overcoming artificial range estimation sampling observation labor intensity height, loss high, the company of raising The abnormal promptness of casting identification strand Cutting Length and effectiveness, it is to avoid the abnormal shadow to rolling rear lumber recovery of strand batch length Ring, be to improve lumber recovery, reduction production cost to provide safeguard.
A kind of 1. strand Cutting Length exception monitoring systems are provided according to an aspect of the present invention, including:Including Cutting Length Acquisition module, strand Weight acquisition module, strand rice re-computation module, length anomalous identification module, length exception correcting module, And alarm display module;Wherein, the Cutting Length acquisition module, with it is each stream sizing cutting device be connected, for collection and The detection length of the strand that each stream sizing cutting device cuts is recorded, and sends the strand detection length of each stream to strand rice weight Computing module and length exception correcting module;The strand Weight acquisition module, is connected with each stream strand meausring apparatus, is used for The strand weight detected by the strand meausring apparatus on each outflow blank roller way is gathered and records, and the strand detection of each stream is heavy Amount sends strand rice re-computation module and length exception correcting module to;The strand rice re-computation module, reaches for calculating Each rice tuple evidence for flowing out the strand on blank roller way, and by the rice tuple of each stream strand according to be sent to length anomalous identification module and Length exception correcting module;The length anomalous identification module, for carrying out synthesis to the rice tuple of each stream strand for receiving evidence Comparison operation, identification infers the strand length after each stream cutting with the presence or absence of exception, and it is different that recognition result is sent to into length Normal correcting module and alarm display module;Length exception correcting module, for after length abnormal signal is received, root According to each stream strand rice weight, strand sense weight, the strand detection length data for receiving, Cutting Length correction is calculated automatically, The length correction amount of generation is sent to all the way alarm display module.
Cutting Length acquisition module is connected with the sizing cutting device of each stream by ethernet communication network, communications protocol For TCP/IP.
Strand Weight acquisition module is connected with the strand meausring apparatus of each stream by ethernet communication network, communications protocol For TCP/IP.
Length measurement sensor is using the incremental pulse codr being connected with measurement roller.
The length anomalous identification module includes first order comparison operation unit and second level comparison operation unit.
The length exception correcting module is included with reference to rice weight arithmetic element, correction arithmetic element and mode selector.
Strand rice re-computation module includes a trigger and a ratio arithmetic element, and trigger is receiving Cutting Length The note length of acquisition module completes signal and the note of strand Weight acquisition module is completed after signal again, and triggering ratio arithmetic element is calculated The strand rice weight of each stream, and operation result is included into that the rice tuple evidence of each stream strand is sent to length anomalous identification module and length Abnormal correcting module.
A kind of strand Cutting Length method for monitoring abnormality, comprises the following steps:
(1) gather and record each stream from each stream sizing cutting device by Cutting Length acquisition module and cut strand Detection length;
(2) gathered from each stream strand meausring apparatus by strand Weight acquisition module and record each stream and reach ejection roller The sense weight of the strand in road;
(3) length and strand sense weight are detected according to the strand recorded by strand rice re-computation module, automatically meter Calculate the strand rice weight on each outflow blank roller way;
(4) Integrated comparative computing, identification and deduction are carried out according to each stream strand rice tuple evidence by length anomalous identification module Strand physical length after exception is identified, sends length abnormal signal with the presence or absence of exception;
(5) by length exception correcting module receive after length abnormal signal, according to receive strand rice weight, sense weight and Detection length data, calculates Cutting Length correction automatically;
(6) received after length abnormal signal by alarm display module, by sound, light, picture version, to behaviour on duty Length abnormality alarm is sent as personnel, and shows the length correction amount for receiving;
(7) by sizing cutting device automatically according to the Cutting Length correction for receiving, what length measurement sensor was transmitted is real-time Length detection value is modified.
Collection and record strand in step 1. detects that the process of length is:By the length measurement sensor of sizing cutting device Real-time detection strand length to be cut, when detecting that length is more than or equal to target length, cutter controller sends cutoff signal, control Cutting machine starts cutting, while Cutting Length acquisition module reads detection length once at that time, and recorded data register In, then cutter controller will detect that length resets, the length of next strand to be cut of detection of starting from scratch;The strand recorded Detection length is substantially consistent with the target cut length of each stream.
The process of collection in step 2. and record strand sense weight is:After strand reaches ejection roller way, base light is examined Fulgurite sends signal, and the hydraulic elevator platform for making strand meausring apparatus is lifted, and LOAD CELLS starts to detect base weight, the timing of time delay one Between after, weighing controller sends to weigh and completes signal, now strand Weight acquisition module read once at that time strand detection weight Amount, and recorded in data register, then weighing controller makes hydraulic elevator platform fall back to original position.
Strand rice in step 3. weighs the computing formula of (Dia):
Dia=Wia/Lia
Wherein, Wia------- strands sense weight, kg;
Lia------- strands detect length, m;
Length anomalous identification in step 4. is the anomalous identification by calculating each stream strand meter Chong and infers to realize 's;Reached to actual strand Cutting Length anomalous identification by the heavy anomalous identification of the strand rice to calculating and deduction.
Integrated comparative computing in step 4., including first order comparison operation;First order comparison operation is to detect each stream To strand rice weight with conticaster allow rice weight data interval be compared;Allow that rice weight data interval is in the casting of conticaster history Base rice tuple on the basis of interval, adds certain allowable deviation scope and produces according to statistics, can recognize and be inferred to ratio Significantly rice weight is abnormal;First order comparison operation is used to recognize that the abnormal logical formula of each stream strand rice weight is as follows:
Dia<Dmin- ε, or Dia>Dmin+ε
Wherein, Dmin --- strand history rice weight statistical fluctuation value lower limit, kg/m;
Dmax --- the strand history rice weight statistical fluctuation value upper limit, kg/m;
ε --- strand rice weight allowable deviation scope, kg/m;
Dia --- the strand rice weight of the i-th stream, kg/m
Integrated comparative computing in step 4., also including second level comparison operation;Second level comparison operation is in the first order On the basis of comparison operation, the strand rice detected to each stream carries out flowing a deviation calculating again, obtains each stream between other streams The absolute deviation values of strand rice weight;By flowing each with the strand rice weight deviation between its stream with deviation range between the stream allowed It is compared successively, it is abnormal further to recognize and be inferred to the rice weight that each stream is present;Second level comparison operation is used to calculate stream Between rice weight deviation formula it is as follows:
Δ D1-i=| D1a-Dia | (i represents stream number, i ≠ 1)
Δ D2-i=| D2a-Dia | (i represents stream number, i ≠ 2)
Δ Dn-i=| Dna-Dia | (i represents stream number, i ≠ n)
Wherein, the fluxion of n --- conticaster;
Δ D1-i --- the 1st stream strand rice weight respectively flows the absolute value of the bias of strand rice weight, kg/m with other;
Δ D2-i --- the 2nd stream strand rice weight respectively flows the absolute value of the bias of strand rice weight, kg/m with other;
Δ Dn-i --- the n-th stream strand rice weight respectively flows the absolute value of the bias of strand rice weight, kg/m with other;
Second level comparison operation is used to recognize that the abnormal logical formula of each stream strand rice weight is as follows:
ΔD1-i>Δ Dmax, or
ΔD2-i>Δ Dmax, or
..., or
ΔDn-i>ΔDmax
Wherein, Δ Dmax --- rice weight departure, kg/m between the stream allowed;
First order comparison operation is the comparison operation based on history rice weight scope of data, for the obvious meter Chong of identification It is abnormal;Second level comparison operation using between stream by the way of lateral comparison, under any steel grade and strand section specification, to realize more High-precision rice weight anomalous identification.
The calculating formula of Cutting Length correction amount Li in step 5. is as follows:
Δ Li=Wia/DM-Lia
Wherein, Δ Li --- Cutting Length correction when the i-th stream length is abnormal, m;
Wia --- the sense weight of the i-th stream strand, kg;
Lia --- the detection length of the i-th stream strand, m;
DM --- with reference to strand rice weight, kg/m;It is the meansigma methodss of each stream meter Chong for not detecting abnormal.
Cutting Length amendment in step 5. has automatically and manually two kinds of selection modes, raw when automated manner is selected Into length correction amount will be automatically delivered to sizing cutting device, for the automatic amendment of Cutting Length;Selecting manual mode When, the length correction amount of generation will be transmitted only to alarm display apparatus, for the reference of operator's manual correction.
The computing formula of the real time length detected value amendment to sizing cutting device length measurement sensor in step 7. is as follows:
Licomp=Liraw+ Δ Li
Wherein, Δ Li --- Cutting Length correction when the i-th stream length is abnormal, m;
Liraw --- the real time length detected value of the unmodified length measurement sensor of the i-th stream sizing cutting device, m;
Licomp --- real time length detected value of the i-th stream sizing cutting device after correction-compensation, m.
The invention provides a kind of strand Cutting Length exception monitoring system and method, solves continuous casting line continuous The strand length cut in production process cannot timely and effective monitoring on-line automaticly problem, it is to avoid continuous casting is because of bulk casting Base length violation caused by roll the consequence that rear lumber recovery is reduced, advantageously reduce mass loss and the production cost of enterprise.
Description of the drawings
Fig. 1 is the strand Cutting Length exception monitoring system composition structural representation of one embodiment of the invention;
Fig. 2 is the length anomalous identification modular structure schematic diagram in Fig. 1 embodiments;
Fig. 3 is the length exception correcting module structural representation in Fig. 1 embodiments;
Fig. 4 is the strand Cutting Length method for monitoring abnormality flow chart of the present invention.
Specific embodiment
It is that the above objects, features and advantages of the present invention can be become apparent, below in conjunction with tool of the accompanying drawing to the present invention Body embodiment elaborates.Firstly the need of explanation, the present invention is not limited to following specific embodiments, this area Technical staff should understand the present invention from the spirit that following embodiments are embodied, and each technical term can be based on the present invention's Spirit is making broadest understanding.In the accompanying drawings identical reference represents identical part.
The strand Cutting Length exception monitoring system of one embodiment of the invention, as shown in figure 1, including:Including cutting length Degree acquisition module 1, strand Weight acquisition module 2, strand rice re-computation module 3, length anomalous identification module 4, length are repaiied extremely Positive module 5 and alarm display module 6.Wherein, Cutting Length acquisition module 1, is connected with each stream sizing cutting device 11, is used for Collection and the detection length of strand 13 that the cutting machine 11a of each stream sizing cutting device 11 cuts is recorded, and by the strand of each stream Detection length sends strand rice re-computation module 3 and length exception correcting module 5 to.Strand Weight acquisition module 2, with each stream casting Base meausring apparatus 12 is connected, for gathering and recording the casting detected by the strand meausring apparatus 11 on each outflow blank roller way 14 Base weight, and send the strand sense weight of each stream to strand rice re-computation module 3 and length exception correcting module 5.Strand Rice re-computation module 3, for calculating each rice tuple evidence for flowing out the strand on blank roller way 14 is reached, and by the meter Chong of each stream strand Data are sent to length anomalous identification module 4 and length exception correcting module 5.Length anomalous identification module 4, for receiving The rice tuple of each stream strand infers the strand length after each stream cutting with the presence or absence of different according to Integrated comparative computing, identification is carried out Often, and by recognition result length exception correcting module 5 and alarm display module 6 are sent to.Length exception correcting module 5, is used for After length abnormal signal is received, according to each stream strand rice weight, strand sense weight, the strand detection length number for receiving According to, Cutting Length correction is calculated automatically, the length correction amount of generation is sent to all the way alarm display module 6.
The present invention carries out strand Cutting Length method for monitoring abnormality using above-mentioned strand Cutting Length exception monitoring system, such as Shown in Fig. 1 and Fig. 4, comprise the following steps:
1. gather and record each stream from each stream sizing cutting device 11 by Cutting Length acquisition module 1 and cut strand 13 detection length;
2. gathered from each stream strand meausring apparatus 12 by strand Weight acquisition module 2 and record each stream and reach ejection The sense weight of the strand of roller-way 14;
3. calculated automatically according to the strand detection length and strand sense weight recorded by strand rice re-computation module 3 The strand rice weight gone out on each outflow blank roller way;
4. Integrated comparative computing, identification and deduction are carried out according to each stream strand rice tuple evidence by length anomalous identification module 4 Strand physical length after exception is identified, sends length abnormal signal with the presence or absence of exception;
5. by length exception correcting module 5 receive after length abnormal signal, according to receive strand rice weight, sense weight and Detection length data, calculates Cutting Length correction automatically;
6. received after length abnormal signal by alarm display module 6, by sound, light, picture version, to behaviour on duty Length abnormality alarm is sent as personnel, and shows the length correction amount for receiving;And
7. by sizing cutting device 11 length measurement sensor 11b is transmitted automatically according to the Cutting Length correction for receiving Real time length detected value is modified.
Collection and record strand in step 1. detects that the process of length is:By the survey long pass of sizing cutting device 11 The length of sensor 11b real-time detections strand 13 to be cut, when detecting that length is more than or equal to target length, cutter controller (is not marked Show) cutoff signal is sent, the cutter 11a ' for controlling cutting machine 11a starts cutting, while Cutting Length acquisition module 1 reads one Secondary detection length at that time, and recorded in data register (sign), then cutter controller will detect that length resets, from Zero starts to detect the length of next strand to be cut;Record strand detection length with each stream target cut length substantially It is consistent.
The process of collection in step 2. and record strand sense weight is:After strand reaches ejection roller way 14, inspection Base sensor is that photocell 12c sends signal, and the hydraulic elevator platform 12a for making strand meausring apparatus 12 is lifted, LOAD CELLS 12b Start to detect base weight, after time delay certain hour, weighing controller sends to weigh and completes signal, now strand Weight acquisition module 2 Strand sense weight once at that time is read, and be recorded in data register, then weighing controller makes hydraulic elevator platform 12a Fall back to original position.
Strand rice in step 3. weighs the computing formula of (Dia):
Dia=Wia/Lia
Wherein, Wia------- strands sense weight, kg;
Lia------- strands detect length, m.
Length anomalous identification in step 4. is by calculating the anomalous identification of meter Chong to each stream strand and inferring come real Existing;By the anomalous identification and deduction (logic or OR) of the strand rice weight to calculating the cutting of actual strand is grown to reach Degree anomalous identification;
Integrated comparative computing in step 4., as shown in Fig. 2 including by the first order in length anomalous identification module Comparing unit arithmetic element 4a carries out first order comparison operation;First order comparison operation is that the strand rice weight that Jiang Geliu is detected is same Conticaster allows that rice weight data interval is compared;Allow rice weight data interval be in conticaster history strand rice tuple according to statistics On the basis of interval, add certain allowable deviation scope and produce, can recognize and be inferred to obvious meter Chong Yi Often;First order comparison operation is used to recognize that the abnormal logical formula (logic or OR) of each stream strand rice weight is as follows:
Dia<Dmin- ε, or Dia>Dmin+ε
Wherein, Dmin --- strand history rice weight statistical fluctuation value lower limit, kg/m;
Dmax --- the strand history rice weight statistical fluctuation value upper limit, kg/m;
ε --- strand rice weight allowable deviation scope, kg/m;
Dia --- the strand rice weight of the i-th stream, kg/m;
Integrated comparative computing in the step 4., also including second level comparison operation;Second level comparison operation is On the basis of one-level comparison operation, flowed to the strand rice that each stream is detected by second level comparison operation unit 4b again between partially Difference is calculated, and obtains absolute deviation values of each stream with strand rice weight between other streams;By flowing each with the strand rice between its stream Weight deviation is compared successively with deviation range between the stream allowed, further to recognize and be inferred to the meter Chong Yi that each stream is present Often;The formula that second level comparison operation is used to calculate rice weight deviation between stream is as follows:
Δ D1-i=| D1a-Dia | (i represents stream number, i ≠ 1)
Δ D2-i=| D2a-Dia | (i represents stream number, i ≠ 2)
Δ Dn-i=| Dna-Dia | (i represents stream number, i ≠ n)
Wherein, the fluxion of n --- conticaster;
Δ D1-i --- the 1st stream strand rice weight respectively flows the absolute value of the bias of strand rice weight, kg/m with other;
Δ D2-i --- the 2nd stream strand rice weight respectively flows the absolute value of the bias of strand rice weight, kg/m with other;
Δ Dn-i --- the n-th stream strand rice weight respectively flows the absolute value of the bias of strand rice weight, kg/m with other;
Second level comparison operation is used to recognize that the abnormal logical formula (logic or OR) of each stream strand rice weight is as follows:
ΔD1-i>Δ Dmax, or
ΔD2-i>Δ Dmax, or
..., or
ΔDn-i>ΔDmax
Wherein, Δ Dmax --- rice weight departure, kg/m between the stream allowed;
First order comparison operation is the comparison operation based on history rice weight scope of data, for the obvious meter Chong of identification It is abnormal;Second level comparison operation using between stream by the way of lateral comparison, under any steel grade and strand section specification, to realize more High-precision rice weight anomalous identification.
The calculating formula of Cutting Length correction amount Li in the step 5. is as follows:
Δ Li=Wia/DM-Lia
Wherein, Δ Li --- Cutting Length correction when the i-th stream length is abnormal, m;
Wia --- the sense weight of the i-th stream strand, kg;
Lia --- the detection length of the i-th stream strand, m;
DM --- with reference to strand rice weight, kg/m;It is the meansigma methodss of each stream meter Chong for not detecting abnormal;
Cutting Length amendment in the step 5. has automatically and manually two kinds of selection modes, as shown in figure 3, with reference to rice Weight arithmetic element 5a receives each stream strand rice weight and length abnormal signal Jing computings and will be defeated by correction arithmetic element with reference to meter Chong 5b, while receiving length abnormal signal, strand sense weight and strand detection length signals simultaneously by correction arithmetic element 5b Length correction amount is exported Jing after computing and gives mode selector 5c, automatic correction or manual correction amount are then exported respectively, in choosing When selecting automated manner, the length correction amount of generation will be automatically delivered to sizing cutting device 11, repairing automatically for Cutting Length Just;When manual mode is selected, the length correction amount of generation will be transmitted only to alarm display apparatus 6, for operator's handss The reference of dynamic amendment.
The calculating of the real time length detected value amendment of the length measurement sensor 11b to sizing cutting device 11 in step 7. is public Formula is as follows:
Licomp=Liraw+ Δ Li
Wherein, Δ Li --- Cutting Length correction when the i-th stream length is abnormal, m;
Liraw --- the real time length detected value of the unmodified length measurement sensor of the i-th stream sizing cutting device, m;
Licomp --- real time length detected value of the i-th stream sizing cutting device after correction-compensation, m;
The application example of the present invention is described further below in conjunction with accompanying drawing, to become apparent from understanding the mesh of the present invention , feature and advantage.
This application example applies the present invention to Baosteel large square bland continuous-casting machine, and conticaster fluxion is 4 streams, strand cross-section gauge Lattice:320*425mm, scale target length can be between 5~9m optionally, strand Cutting Length required precision ± 30mm.
As shown in figure 1, strand Cutting Length exception monitoring system includes Cutting Length acquisition module 1, strand Weight acquisition Module 2, strand rice re-computation module 3, length anomalous identification module 4, length exception correcting module 5, and alarm display module 6;
Cutting Length acquisition module 1, is connected with the sizing cutting device 11 of each stream by ethernet communication network, communication Agreement is TCP/IP;Sizing cutting device 11 is located at each stream cutting zone, including length measurement sensor 11b, cutting machine 11a and cutting Controller;Length measurement sensor 11b is using the incremental pulse codr being connected with measurement roller;Cutting Length acquisition module 1 is each The cutter controller of stream sizing cutting device 11 sends detection length during cutoff signal, gathers and recorded data register In, send strand rice re-computation module 3 and length exception correcting module 5 to;Strand Weight acquisition module 2, the strand with each stream Meausring apparatus 12 is connected by ethernet communication network, and communications protocol is TCP/IP;Strand meausring apparatus 12 is located at ejection roller On road 14, for strand weight calculation, often stream include 4 pressure head type LOAD CELLS 12b, 1 pair oil cylinder hydraulic lifting platform 12a, 1 Inspection base sensor examines base photocell 12c and 1 weighing controller (sign);The measurement range of LOAD CELLS 12b is 4 ~12t, certainty of measurement is ± 30kg;Strand Weight acquisition module 2 sends the weighing controller of each stream strand meausring apparatus 12 Complete to weigh strand weight during signal, gather and recorded in data register, send strand rice re-computation module 3 and length to The abnormal correcting module 5 of degree;
Strand rice re-computation module 3, including a trigger and a ratio arithmetic element (not shown), trigger is being received Note length to Cutting Length acquisition module 1 completes signal, and the note of strand Weight acquisition module 2 is completed after signal again, triggering ratio Value arithmetic element calculates strand rice weight (line density) of each stream, and by operation result, i.e., respectively flows the rice tuple evidence of strand, is sent to Length anomalous identification module 4 and length exception correcting module 5;
Length anomalous identification module 4, as shown in Fig. 2 including first order comparison operation unit 4a and second level comparison operation Unit 4b, is respectively used to the strand rice tuple to each stream according to Integrated comparative computing, identification is carried out and is inferred to the casting after each stream cutting Consequential signal after identification is sent to length exception correcting module 5 and alarm display module by base length with the presence or absence of exception 6;
Length exception correcting module 5, as shown in figure 3, including a mode selector 5c, one with reference to rice weight arithmetic element 5a and correction arithmetic element 5b;After the length abnormal signal of certain stream is received, pushed away again according to the strand rice of normal stream Calculate and refer to meter Chong, in conjunction with the strand detection length and sense weight of exception stream, extrapolate Cutting Length correction;Mode is selected Selecting device 5c can select manually and automatically two kinds of correcting modes, and under manual mode, the length correction amount of generation is sent to warning Display module 6, refers to during for operator's manual correction, and under automated manner, length correction amount will simultaneously be sent to scale and cut Device 11 is cut, for carrying out the automatic amendment of Cutting Length to exception stream;
Alarm display module 6, the cutting manipulation for being arranged on Attended mode is indoor, including buzzer, display lamp and can show The display screen of procedural information picture, for when strand length abnormal signal is received, by sound, light, picture change, actuating procedure Personnel timely respond to process to abnormal making;Meanwhile, the length correction amount after length exception that will monitor shows on a display screen Out, refer to when carrying out length correction for operator.
Make further to being monitored method using the strand Cutting Length exception monitoring system of above-mentioned application example below Explanation.
As shown in figure 4, strand Cutting Length method for monitoring abnormality, comprises the following steps:
(1) Cutting Length acquisition module gathers and records the detection that each stream cuts strand from each stream sizing cutting device Length;
The step 1) in collection and the process of record strand detection length be, the survey length of sizing cutting device 11 sensing Device 11b real-time detections strand length to be cut, when detecting that length is more than or equal to target length, cutter controller sends cutting letter Number, control cutting machine starts cutting, while Cutting Length acquisition module 1 reads detection length once at that time, and recorded number According to depositor, then cutter controller will detect that length resets, the length of next strand to be cut of detection of starting from scratch;Record Under strand detection length be substantially consistent with the target cut length of each stream;
In this example, each stream that Cutting Length acquisition module 1 is recorded cuts detection length L of strandiaIt is respectively:
1 stream:L1a=8.660m, it is consistent with target cut length,
2 streams:L2a=6.780m, it is consistent with target cut length,
3 streams:L3a=8.660m, it is consistent with target cut length,
4 streams:L4a=8.660m, it is consistent with target cut length;
(2) strand Weight acquisition module 2 gathers from each stream strand meausring apparatus 12 and records each stream and reaches ejection roller The sense weight of the strand in road 14;
Step 2) in collection and record strand sense weight process be, when strand reach ejection roller way 14 after, examine base Photocell 12c sends signal, and the hydraulic elevator platform 12a for making strand meausring apparatus 12 is lifted, and LOAD CELLS 12b starts to detect base Weight, after time delay certain hour, weighing controller sends to weigh and completes signal, now strand Weight acquisition module 2 read once when When strand sense weight, and recorded in data register, then weighing controller makes hydraulic elevator platform 12a fall back to original Position;
In this example, strand sense weight W on each outflow blank roller way 14 that strand Weight acquisition module 2 is recordedia It is respectively:
1 stream:W1a=9250kg
2 streams:W2a=7245kg
3 streams:W3a=9102kg
4 streams:W4a=9270kg
(3) strand rice re-computation module 3 is calculated automatically according to the strand detection length and strand sense weight recorded Each strand rice weight flowed out on blank roller way 14;
In this example, the strand rice on each outflow blank roller way 14 that strand rice re-computation module 3 is calculated is respectively again Dia=Wia/Lia, i.e.,:
1 stream:D1a=9250/8.660=1068kg/m
2 streams:D2a=7245/6.780=1069kg/m
3 streams:D3a=9102/8.660=1051kg/m
4 streams:D4a=9270/8.660=1070kg/m
(4) length anomalous identification module 4 carries out Integrated comparative computing, identification and deduction according to each stream strand rice tuple evidence Strand physical length after exception is identified, sends length abnormal signal with the presence or absence of exception;
Step 4) in Integrated comparative computing, including first order comparison operation;First order comparison operation is to detect each stream The strand rice weight D for arrivingiaAllow that rice weight data interval is compared with conticaster;Allow that rice weight data interval is in conticaster history Strand rice tuple on the basis of interval, adds certain allowable deviation scope and produces according to statistics, can recognize and be inferred to Obvious rice weight is abnormal;The logical formula of first order comparison operation is:
Dia<Dmin- ε, or Dia>Dmin
In this example, according to the history rice weight undulating value lower limit D that historical statistical data is obtainedmin=980kg/m, history rice Weight undulating value upper limit Dmax=1075kg/m, strand rice weight allowable deviation scope ε=5kg/m;First order comparison operation is used to recognize Respectively the abnormal logical formula of stream strand rice weight is:Dia<975kg/m, or Dia>1080kg/m, due to the strand of each stream in this example Rice weight DiaThis condition is unsatisfactory for, therefore first order comparison operation not can recognize that the Cutting Length of each stream has exception;
Step 4) in Integrated comparative computing, also including second level comparison operation;Second level comparison operation is in the first order On the basis of comparison operation, the strand rice weight D that each stream is detectediaCarry out flowing a deviation calculating, obtain each stream and flow it with other Between strand rice weight absolute deviation values;By flowing each with the strand rice weight deviation between its stream with deviation model between the stream allowed Enclose and be compared successively, it is abnormal further to recognize and be inferred to the rice weight that each stream is present;Between the stream in the comparison operation of the second level Rice weight deviation is calculated as follows:
The deviation of 1 stream and 2 streams:ΔD1-2=| 1068-1069 |=1kg/m
The deviation of 1 stream and 3 streams:ΔD1-3=| 1068-1051 |=17kg/m
The deviation of 1 stream and 4 streams:ΔD1-4=| 1068-1070 |=2kg/m
The deviation of 2 streams and 1 stream:ΔD2-1=| 1069-1068 |=1kg/m
The deviation of 2 streams and 3 streams:ΔD2-3=| 1069-1051 |=18kg/m
The deviation of 2 streams and 4 streams:ΔD2-4=| 1069-1070 |=1kg/m
The deviation of 3 streams and 1 stream:ΔD3-1=| 1051-1068 |=17kg/m
The deviation of 3 streams and 2 streams:ΔD3-2=| 1051-1069 |=18kg/m
The deviation of 3 streams and 4 streams:ΔD3-4=| 1051-1070 |=19kg/m
The deviation of 4 streams and 1 stream:ΔD4-1=| 1070-1068 |=2kg/m
The deviation of 4 streams and 2 streams:ΔD4-2=| 1070-1069 |=1kg/m
The deviation of 4 streams and 3 streams:ΔD4-3=| 1070-1051 |=19kg/m
In this example, rice weight departure Δ D between the stream that second level comparison operation is allowedmax=7kg/m, then it is each for recognizing The abnormal logical formula of stream strand rice weight is as follows:
ΔD1-i>7kg/m, or Δ D2-i>7kg/m, or Δ D3-i>7kg/m, or Δ D4-i>7kg/m,
Due to Δ D in this example3-1=17kg/m, Δ D3-2=18kg/m, Δ D3-4=19kg/m, meets Δ D3-i>7kg/m Condition, therefore system identification and be inferred to 3 streams and there is Cutting Length exception;
(5) length exception correcting module 5 receive after length abnormal signal, according to receive strand rice weight, sense weight and Detection length data, calculates Cutting Length correction automatically;
In this example, length exception correcting module is received after the length abnormal signal of 3 streams, and the cutting of 3 streams is calculated automatically Length correction amount, wherein with reference to strand rice weight DMBe normal stream strand rice weight meansigma methodss, i.e. DM=(1068+1069+1070)/3 =1069kg/m,
Cutting Length correction amount LiFor
ΔLi=Wia/DM-Lia=9102/1069-8.660=-0.146m, represents that 3 stream strand physical lengths are partially short, needs The correction for carrying out is 146mm;
Length correction mode have selected automated manner in this example, and the length correction amount of generation is not transferred only to alarm indicator Module 6 shows, will also be automatically delivered to sizing cutting device 11;
(6) alarm display module 6 is received after length abnormal signal, by sound, light, picture version, to behaviour on duty Length abnormality alarm is sent as personnel, and shows the length correction amount for receiving;
In this example, alarm display module is arranged on cutting manipulation interior, after receiving 3 stream length abnormal signals, by honeybee Ring device pipe and indicate lamp lighting mode report to the police, occur warning message on display screen, make operator be found that cutting for 3 streams in time Length exception is cut, and is timely checked and has been corrected;Meanwhile, alarm display module will monitor the length after length exception Correction shows on a display screen, operator is referred to when length correction is carried out;
(7) sizing cutting device 11 is automatically according to the Cutting Length correction for receiving, the reality transmitted to length measurement sensor 11b Shi Changdu detected values are modified.
Because this example have selected automatic correcting mode, 3 stream sizing cutting devices 11 are transmitted to length measurement sensor 11b automatically Real time length detected value carry out following amendment:
Licomp=Liraw+ΔLi=Liraw+(-0.357)
By this monitoring system and monitoring method, successful on-line automatic identification goes out the abnormal problem of 3 stream Cutting Lengths, and it is fixed to make Chi cutter sweep is able to be corrected in time, it is to avoid high-volume is abnormal to rolling the loss that rear lumber recovery is caused.
The present invention is applied to multiple-strand caster, and technical scheme is feasible and reproducible and transplantation, is particularly well-suited to casting The required precision of base Cutting Length is strict, wish to reduce length exception to rolling the steel mill that rear lumber recovery affects, and the present invention can be fitted Answer different steel grades, specification and length, the good prospect with the popularization and application on similar steel mill's conticaster.
In sum, the invention provides a kind of strand Cutting Length exception monitoring system and method, solves continuous casting life The strand length that producing line cuts in continuous flow procedure cannot timely and effective monitoring on-line automaticly problem, it is to avoid continuous casting Because bulk strand length violation caused by roll the consequence that rear lumber recovery is reduced, advantageously reduce the mass loss and life of enterprise Produce cost.Present invention can be implemented in line, automatically monitoring continuous casting billet Cutting Length exception, overcome artificial range estimation sampling observation labor intensity The high shortcoming of high, loss, improves the abnormal promptness of continuous casting identification strand Cutting Length and effectiveness, it is to avoid strand batch is long The abnormal impact to rolling rear lumber recovery of degree, is to improve lumber recovery, reduction production cost to provide safeguard.
It should be understood that after the above-mentioned teachings for having read the present invention, those skilled in the art can be to present invention work Various changes or modification, these equivalent form of values equally fall within the application appended claims limited range.

Claims (12)

1. a kind of strand Cutting Length exception monitoring system, it is characterised in that include:Including Cutting Length acquisition module, strand Weight acquisition module, strand rice re-computation module, length anomalous identification module, length exception correcting module, and alarm indicator mould Block;Wherein, the Cutting Length acquisition module, is connected, for gathering and recording each stream scale with each stream sizing cutting device The detection length of the strand that cutter sweep cuts, and send the strand detection length of each stream to strand rice re-computation module and length The abnormal correcting module of degree;The strand Weight acquisition module, is connected with each stream strand meausring apparatus, each for gathering and recording The strand weight detected by the strand meausring apparatus on blank roller way is flowed out, and sends the strand sense weight of each stream to strand Rice re-computation module and length exception correcting module;The strand rice re-computation module, for calculating each outflow blank roller way is reached On strand rice tuple evidence, and the rice tuple of each stream strand is corrected extremely according to length anomalous identification module and length is sent to Module;The length anomalous identification module, according to Integrated comparative computing is carried out, recognizes for the rice tuple of each stream strand for receiving The strand length after each stream cutting is inferred with the presence or absence of exception, and recognition result is sent to into length exception correcting module and report Alert display module;The length exception correcting module, for after length abnormal signal is received, according to each stream casting for receiving Base rice weight, strand sense weight, strand detection length data, calculate Cutting Length correction, the length correction of generation automatically Amount is sent to all the way alarm display module.
2. strand Cutting Length exception monitoring system according to claim 1, it is characterised in that the Cutting Length collection Module is connected with the sizing cutting device of each stream by ethernet communication network, and communications protocol is TCP/IP;The strand weight Amount acquisition module is connected with the strand meausring apparatus of each stream by ethernet communication network, and communications protocol is TCP/IP;It is described Sizing cutting device includes length measurement sensor, cutting machine and cutter controller, and the length measurement sensor is adopted and is connected with measurement roller Incremental pulse codr;The length anomalous identification module includes first order comparison operation unit and second level comparison operation Unit;The length exception correcting module is included with reference to rice weight arithmetic element, correction arithmetic element and mode selector.
3. strand Cutting Length exception monitoring system according to claim 1, it is characterised in that the strand rice re-computation Module includes a trigger and a ratio arithmetic element, and trigger completes letter in the note length for receiving Cutting Length acquisition module Number and the note of strand Weight acquisition module complete again after signal, trigger the strand rice weight that ratio arithmetic element calculates each stream, and will Operation result includes that the rice tuple evidence of each stream strand is sent to length anomalous identification module and length exception correcting module.
4. a kind of strand Cutting Length method for monitoring abnormality, it is characterised in that comprise the following steps:
(1) inspection of the strand that each stream cuts is gathered and records from each stream sizing cutting device by Cutting Length acquisition module Survey length;
(2) gathered from each stream strand meausring apparatus by strand Weight acquisition module and recorded and reach each outflow blank roller way The sense weight of strand;
(3) length and strand sense weight are detected according to the strand recorded by strand rice re-computation module, is calculated automatically Each strand rice weight flowed out on blank roller way;
(4) by length anomalous identification module according to each stream strand rice tuple evidence, Integrated comparative computing, identification and deduction strand are carried out Physical length after exception is identified, sends length abnormal signal with the presence or absence of exception;
(5) received after length abnormal signal by length exception correcting module, according to the strand rice weight, sense weight and the detection that receive Length data, calculates Cutting Length correction automatically;
(6) received after length abnormal signal by alarm display module, by sound, light, picture version, to operator on duty Member sends length abnormality alarm, and shows the length correction amount for receiving;
(7) by sizing cutting device automatically according to the Cutting Length correction for receiving, the real time length transmitted to length measurement sensor Detected value is modified.
5. strand Cutting Length method for monitoring abnormality according to claim 4, it is characterised in that the collection in step (1) It is with the process of record strand detection length:By the length measurement sensor real-time detection of sizing cutting device strand length to be cut, When detecting that length is more than or equal to target length, cutter controller sends cutoff signal, and control cutting machine starts cutting, while cutting Length acquisition module reading detection length once at that time is cut, and be recorded in data register, then cutter controller will be examined Survey length to reset, the length of next strand to be cut of detection of starting from scratch;The strand recorded detects target of the length with each stream Cutting Length is substantially consistent.
6. strand Cutting Length method for monitoring abnormality according to claim 4, it is characterised in that the collection in step (2) It is with the process of record strand sense weight:After strand reaches each outflow blank roller way, inspection base photocell sends signal, makes strand The hydraulic elevator platform of meausring apparatus is lifted, and LOAD CELLS starts to detect base weight that after time delay certain hour, weighing controller sends Weigh and complete signal, now strand Weight acquisition module reads strand sense weight once at that time, and recorded data register In device, then weighing controller makes hydraulic elevator platform fall back to original position.
7. strand Cutting Length method for monitoring abnormality according to claim 4, it is characterised in that the i-th stream in step (3) Strand rice weight (Dia) computing formula be:
Dia=Wia/Lia
Wherein, Wia------- i-th flows the sense weight of strand, kg;
Lia------- i-th flows the detection length of strand, m.
8. strand Cutting Length method for monitoring abnormality according to claim 4, it is characterised in that the length in step (4) Anomalous identification is the anomalous identification by calculating each stream strand meter Chong and infers to realize;By the strand rice to calculating The anomalous identification of weight and deduction are reaching to actual strand Cutting Length anomalous identification;Integrated comparative computing in step (4), Including first order comparison operation;First order comparison operation is that the strand rice weight that Jiang Geliu is detected allows a meter tuple evidence with conticaster Interval is compared;Allow that rice weight data interval is on the basis of conticaster history strand rice tuple according to statistics interval, to add Certain allowable deviation scope and produce, can recognize and be inferred to obvious rice weight abnormal;First order comparison operation It is as follows for recognizing the abnormal logical formula of each stream strand rice weight:
Dia<Dmin- ε, or Dia>Dmin+ε
Wherein, Dmin --- strand history rice weight statistical fluctuation value lower limit, kg/m;
Dmax --- the strand history rice weight statistical fluctuation value upper limit, kg/m;
ε --- strand rice weight allowable deviation scope, kg/m;
Dia --- the strand rice weight of the i-th stream, kg/m.
9. strand Cutting Length method for monitoring abnormality according to claim 8, it is characterised in that the synthesis in step (4) Comparison operation, also including second level comparison operation;Second level comparison operation is on the basis of first order comparison operation, to each stream The strand rice for detecting carries out flowing a deviation calculating again, obtains absolute deviation values of each stream with strand rice weight between other streams;It is logical Cross and be successively compared each stream with deviation range between the stream allowed with the strand rice weight deviation between its stream, further to know It is not abnormal with the rice weight for being inferred to each stream presence;The formula that second level comparison operation is used to calculate rice weight deviation between stream is as follows:
Δ D1-i=| D1a-Dia | (i represents stream number, i ≠ 1)
Δ D2-i=| D2a-Dia | (i represents stream number, i ≠ 2)
Δ Dn-i=| Dna-Dia | (i represents stream number, i ≠ n)
Wherein, the fluxion of n --- conticaster;
Δ D1-i --- the 1st stream strand rice weight respectively flows the absolute value of the bias of strand rice weight, kg/m with other;
Δ D2-i --- the 2nd stream strand rice weight respectively flows the absolute value of the bias of strand rice weight, kg/m with other;
Δ Dn-i --- the n-th stream strand rice weight respectively flows the absolute value of the bias of strand rice weight, kg/m with other;
Second level comparison operation is used to recognize that the abnormal logical formula of each stream strand rice weight is as follows:
ΔD1-i>Δ Dmax, or
ΔD2-i>Δ Dmax, or
..., or
ΔDn-i>ΔDmax
Wherein, Δ Dmax --- rice weight departure, kg/m between the stream allowed;
First order comparison operation is the comparison operation based on history rice weight scope of data, for the obvious meter Chong Yi of identification Often;Second level comparison operation using between stream by the way of lateral comparison, under any steel grade and strand section specification, to realize higher The rice weight anomalous identification of precision.
10. strand Cutting Length method for monitoring abnormality according to claim 4, it is characterised in that the cutting in step (5) The calculating formula of length correction amount Δ Li is as follows:
Δ Li=Wia/DM-Lia
Wherein, Δ Li --- Cutting Length correction when the i-th stream length is abnormal, m;
Wia --- the sense weight of the i-th stream strand, kg;
Lia --- the detection length of the i-th stream strand, m;
DM --- with reference to strand rice weight, kg/m;It is the meansigma methodss of each stream meter Chong for not detecting abnormal.
11. strand Cutting Length method for monitoring abnormality according to claim 10, it is characterised in that in the step (5) Cutting Length amendment there is automatically and manually two kinds of selection modes, when automated manner is selected, the length correction amount of generation will Sizing cutting device is automatically delivered to, for the automatic amendment of Cutting Length;When manual mode is selected, the length correction of generation Amount will be transmitted only to alarm display apparatus, for the reference of operator's manual correction.
12. strand Cutting Length method for monitoring abnormality according to claim 4, it is characterised in that in step (7) to fixed The computing formula of the real time length detected value amendment of chi cutter sweep length measurement sensor is as follows:
Licomp=Liraw+ Δ Li
Wherein, Δ Li --- Cutting Length correction when the i-th stream length is abnormal, m;
Liraw --- the real time length detected value of the unmodified length measurement sensor of the i-th stream sizing cutting device, m;
Licomp --- real time length detected value of the i-th stream sizing cutting device after correction-compensation, m.
CN201410177900.3A 2014-04-29 2014-04-29 Monitoring system and monitoring method for cutting length abnormity of cast blanks Active CN105014032B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201410177900.3A CN105014032B (en) 2014-04-29 2014-04-29 Monitoring system and monitoring method for cutting length abnormity of cast blanks

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201410177900.3A CN105014032B (en) 2014-04-29 2014-04-29 Monitoring system and monitoring method for cutting length abnormity of cast blanks

Publications (2)

Publication Number Publication Date
CN105014032A CN105014032A (en) 2015-11-04
CN105014032B true CN105014032B (en) 2017-04-26

Family

ID=54404535

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201410177900.3A Active CN105014032B (en) 2014-04-29 2014-04-29 Monitoring system and monitoring method for cutting length abnormity of cast blanks

Country Status (1)

Country Link
CN (1) CN105014032B (en)

Families Citing this family (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107790660B (en) * 2016-08-30 2019-10-18 上海梅山钢铁股份有限公司 A kind of continuous casting billet length accurate measurement method
CN108501076A (en) * 2018-03-30 2018-09-07 佛山职业技术学院 A kind of cutting of fixed quantity equipment
CN110744024B (en) * 2018-07-24 2021-06-15 宝山钢铁股份有限公司 Automatic re-inspection system and method for length of continuous casting billet
CN109702161B (en) * 2019-03-12 2023-06-23 山东钢铁股份有限公司 Sizing cutting device of thick plate continuous casting machine and method for improving sizing precision
CN111168028B (en) * 2020-01-21 2022-04-29 宝钢湛江钢铁有限公司 Self-adaptive control method for slab weight based on continuous casting thick plate
CN114594736B (en) * 2020-12-05 2024-06-04 上海梅山钢铁股份有限公司 Intelligent control method for oxyhydrogen cutting of casting blank
CN114888248B (en) * 2022-05-18 2024-04-12 首钢长治钢铁有限公司 Correction method for length of continuous casting billet
CN115365471A (en) * 2022-08-24 2022-11-22 重庆钢铁股份有限公司 Method for reducing short billet generation in square billet continuous casting

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH04187353A (en) * 1990-11-20 1992-07-06 Nippon Steel Corp Instrument for measuring eccentric quantity and device for correcting eccentricity in casting nozzle of continuous caster
JPH05138316A (en) * 1991-11-20 1993-06-01 Sumitomo Metal Ind Ltd Cutting device in continuous casting equipment
CN2452650Y (en) * 2000-12-08 2001-10-10 上海浦东钢铁有限公司 Means for autoamtic determinikng length of continuous casting stock
CN201249263Y (en) * 2008-08-22 2009-06-03 宝山钢铁股份有限公司 On-line continuous casting cutter
CN201366494Y (en) * 2008-12-15 2009-12-23 安阳钢铁股份有限公司 Device for cutting continuous casting billets of fixed weight
CN102319883A (en) * 2011-10-09 2012-01-18 北京首钢自动化信息技术有限公司 Method for controlling on-line prediction of continuous casting blank quality
CN203265574U (en) * 2013-04-20 2013-11-06 唐山渤海冶金设备有限责任公司 Continuous casting cutting optimizing system

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH04187353A (en) * 1990-11-20 1992-07-06 Nippon Steel Corp Instrument for measuring eccentric quantity and device for correcting eccentricity in casting nozzle of continuous caster
JPH05138316A (en) * 1991-11-20 1993-06-01 Sumitomo Metal Ind Ltd Cutting device in continuous casting equipment
CN2452650Y (en) * 2000-12-08 2001-10-10 上海浦东钢铁有限公司 Means for autoamtic determinikng length of continuous casting stock
CN201249263Y (en) * 2008-08-22 2009-06-03 宝山钢铁股份有限公司 On-line continuous casting cutter
CN201366494Y (en) * 2008-12-15 2009-12-23 安阳钢铁股份有限公司 Device for cutting continuous casting billets of fixed weight
CN102319883A (en) * 2011-10-09 2012-01-18 北京首钢自动化信息技术有限公司 Method for controlling on-line prediction of continuous casting blank quality
CN203265574U (en) * 2013-04-20 2013-11-06 唐山渤海冶金设备有限责任公司 Continuous casting cutting optimizing system

Also Published As

Publication number Publication date
CN105014032A (en) 2015-11-04

Similar Documents

Publication Publication Date Title
CN105014032B (en) Monitoring system and monitoring method for cutting length abnormity of cast blanks
CN107442757A (en) A kind of continuous casting billets of fixed weight sizing and cut method
CN102189237B (en) System integration technology for dynamic soft reduction of continuously-cast billet
CN103100678A (en) Online control system and method of influencing parameters of continuous casting defects
CN102107224B (en) Method for judging thickness abnormality of thickness tester and hot-rolled plate during hot rolling production
CN104128580B (en) A kind of continuous casting fixed-length is the method and system of heavy fault pre-alarming surely
CN105964687B (en) Track the high-speed wire mill method of single branch strand and monovolume steel product quality state
CN111679625B (en) Method for evaluating liquid level fluctuation of multi-dimensional continuous casting machine crystallizer quickly and accurately
CN101934353A (en) Device and method for breakout prediction during slab continuous casting
CN102581244A (en) Online control system and control method for surface quality of continuous casting billet
CN107790660B (en) A kind of continuous casting billet length accurate measurement method
CN102151814B (en) Bonding alarm method and system during continuous casting production
CN109047683A (en) A kind of continuous casting billet is intelligent to reset ruler on-line control system surely
CN103639385B (en) Based on breakout prediction method and the system of least square
CN100518999C (en) On-line prognostication of thin strap continuous casting crackle and solidification organization, and control method thereof
CN105522133A (en) Judgment method of bonding behavior between continuous casting slab and crystallizer copper plate
CN114140263A (en) Method for constructing intelligent centralized control intelligent application platform for continuous casting
CN102896289A (en) System and method for realizing real-time tracking of casting blank
CN110116194B (en) Fixed-weight cutting method and system for continuous casting machine
CN103111593B (en) Method for setting segment roll gaps before continuously cast steel on basis of pressure feedback
CN104515776A (en) Device and method for determining positions of strip steel surface defect
CN107790661B (en) A kind of continuous casting square billet corner defect automatic early-warning system and method
CN109029830B (en) Steel leakage detection system and method
CN210498299U (en) Device for weighing continuous casting billet on line
CN202639268U (en) Online control system for surface quality of continuous casting billet

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant