CN102073760B - Blast furnace-rotary furnace section scheduling system modeling method based on queuing theory and system simulation - Google Patents
Blast furnace-rotary furnace section scheduling system modeling method based on queuing theory and system simulation Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 73
- 238000004088 simulation Methods 0.000 title claims abstract description 9
- 238000005094 computer simulation Methods 0.000 title claims abstract description 4
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 claims abstract description 202
- 229910052742 iron Inorganic materials 0.000 claims abstract description 101
- 238000004458 analytical method Methods 0.000 claims abstract description 8
- 230000007246 mechanism Effects 0.000 claims abstract description 7
- 239000002184 metal Substances 0.000 claims description 31
- 229910052751 metal Inorganic materials 0.000 claims description 31
- 230000008569 process Effects 0.000 claims description 30
- 238000004519 manufacturing process Methods 0.000 claims description 18
- 238000005457 optimization Methods 0.000 claims description 14
- 238000009826 distribution Methods 0.000 claims description 9
- 229910000831 Steel Inorganic materials 0.000 claims description 8
- 238000004422 calculation algorithm Methods 0.000 claims description 8
- 230000005648 markovian process Effects 0.000 claims description 8
- 239000010959 steel Substances 0.000 claims description 8
- 239000011159 matrix material Substances 0.000 claims description 7
- 238000011160 research Methods 0.000 claims description 7
- 230000009897 systematic effect Effects 0.000 claims description 7
- 238000005266 casting Methods 0.000 claims description 6
- 238000007689 inspection Methods 0.000 claims description 6
- 239000008188 pellet Substances 0.000 claims description 6
- 230000008859 change Effects 0.000 claims description 5
- 238000012913 prioritisation Methods 0.000 claims description 5
- 238000010206 sensitivity analysis Methods 0.000 claims description 5
- 238000012360 testing method Methods 0.000 claims description 4
- 238000000354 decomposition reaction Methods 0.000 claims description 3
- 230000033764 rhythmic process Effects 0.000 claims description 3
- 238000003723 Smelting Methods 0.000 claims description 2
- 238000005315 distribution function Methods 0.000 claims description 2
- 238000011835 investigation Methods 0.000 claims description 2
- 230000003137 locomotive effect Effects 0.000 claims description 2
- 230000008439 repair process Effects 0.000 claims description 2
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- 230000036962 time dependent Effects 0.000 claims description 2
- 238000010079 rubber tapping Methods 0.000 abstract 1
- 238000005516 engineering process Methods 0.000 description 3
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- 210000004369 blood Anatomy 0.000 description 1
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- 238000007781 pre-processing Methods 0.000 description 1
- 238000009628 steelmaking Methods 0.000 description 1
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Abstract
The invention discloses a blast furnace-rotary furnace section scheduling system modeling method based on a queuing theory and system simulation. The method comprises the following steps of: decomposing a queuing system in 'an iron exchanging ladle/iron receiving tank sharing' interface mode into a pretreatment-rotary furnace iron exchanging subsystem, a transport subsystem and a blast furnace tapping subsystem by using a queuing theory method by means of mathematical analysis and the system simulation; establishing a queuing simulation model and an operating cost function of each subsystem respectively; researching an influencing mechanism of performance indexes and the operating cost of each subsystem due to a customer arrival mode, a departure mode, a queuing rule and service counter vacation policy changes; optimizing major parameters of each subsystem; educing the main performance indexes of the whole queuing system in the 'iron exchanging ladle/iron receiving tank sharing' interface mode by using matrix-geometric solution method; establishing a queuing simulation model and a total operating cost function of the system; and optimizing key parameters of the system to lay the foundation for the dynamic and ordered operation of the 'iron exchanging ladle/iron receiving tank sharing' interface mode.
Description
Technical field
The invention belongs to areas of information technology, relate to mathematical analysis and system emulation, specially refer to blast furnace-converter sector Modeling of Scheduling and method for designing based on waiting line theory.
Background technology
The technology interface of blast furnace-converter sector is the important section that connects ironmaking and steel-making two large operations in steel manufacture process, has played the effect of forming a connecting link, and is also the critical section that is related to Steel Production Flow Chart global optimization.Because " converting iron bag/be subject to iron flask shares " pattern has energy-saving and environmental protection, the advantage such as save time, so many iron and steel enterprises all adopt this pattern both at home and abroad.Japan JFE Jing Binchang adopts 300t hot-metal bottle to realize " convert iron bag/shared by iron flask " pattern, and molten iron enters converter medial temperature and reaches 1350 ℃.China's Anshan iron and steel plant old liberated area one steelworks by " be subject to iron flask-mixed iron blast-convert iron bag " mode reformation for " convert iron bag/shared by iron flask " pattern after, hot-metal bottle reduces 50 minutes working time, molten iron enters converter temperature and improves 30 ℃." converting iron bag/the be subject to iron flask shares " pattern take automobile as means of transport has been applied in the Sha Gang design that takes the lead in, and hot-metal bottle only has 75 minutes working time, only 108 ℃ of hot metal temperature drops.Owing to lacking heightened awareness to this mode operation characteristic, cause having occurred in actual production many problems.In order to guarantee the high productivity of blast furnace and converter, the hot-metal bottle quantity that participates in operation in actual production is often too much, cause transportation route to block up, there is Molten Iron Transportation " three long " phenomenon (be as ready time long, fall long between timing, the length that wastes time in transit), sometimes have to enable mixed iron blast temporarily, will " converting iron bag/be subject to iron flask shares " pattern change " be subject to iron flask-mixed iron blast-convert iron bag " pattern into, finally cause molten iron temperature loss serious, whole production procedure energy consumption significantly increases.
For this reason, by radiating and the molten iron temperature law discovery over time of molten iron in hot-metal bottle circular flow under research " converting iron bag/be subject to iron flask shares " interface model, cause molten iron significantly the main cause of temperature drop be not that the heat-insulating property of hot-metal bottle itself is poor, but " convert iron bag/shared by iron flask " interface model moves the improper waits for too long of hot-metal bottle freely not causing.In fact, blast furnace-converter sector " converting iron bag/be subject to iron flask shares " interface model is a typical queuing system: hot-metal ladle and carriage divides the series-multiple connection information desk place that is clipped to blast furnace group, preprocessing station, switchyard, inspection tank station and converter group composition to rank as client.Whether the queuing system design of " converting iron bag/be subject to iron flask shares " interface model rationally enters the turnaround time rhythm, the molten iron that directly affect hot-metal bottle the production efficiency of converter temperature and blast furnace, converter, and then affect the total expenses that whole system is moved.Because information desk in this system is generally fixed, therefore, arrival process, departure process, queue discipline and service mechanism are the emphasis of this system optimization.Facts have proved, the batch size of arrival process in this system (i.e. several tanks of a car), time of arrival interval probability distribution, many queues or single queue are queued up, probability distribution and the vacation policy of information desk service time enter converter temperature, relevant device throughput rate to molten iron, and trucking costs impact greatly.Therefore, the optimization of this queuing system for energy-conservation, enhance productivity, to reduce operating cost significant.
Summary of the invention
The present invention is directed to prior art deficiency, a kind of blast furnace-converter sector Modeling of Scheduling method based on waiting line theory and system emulation is provided.
For realizing above object, the technical scheme that patent of the present invention adopts is: the method that the method adopts waiting line theory and system emulation to combine, realize the modeling to blast furnace-converter sector dispatching system, and set up model step and be:
The first step, by the Field Research and the related data that adopt " converting iron bag/be subject to iron flask shares " interface model typical case iron and steel enterprise are measured, obtain the production data of " converting iron bag/be subject to iron flask shares " interface model, enterprise practical data are carried out to matching by theoretical distribution with canonical statistics estimating method, measure its fitting degree so that data are processed by test of hypothesis;
Second step, be decomposed into three open queuing systems by the closed type queuing system of the different interface models of will " converting iron bag/be subject to iron flask shared " of function, judge whether each subsystem is that Markovian process maybe could change Markovian process into, determine by embedded Markov chain method or matrix geometric solution method, the derive steady-state behaviour index of each subsystem, Applicative time-event mixed-step is set up each subsystem realistic model, and applies enterprise practical production data and verify and revise;
The 3rd step, adopt optimizing algorithm to optimize each subsystem major parameter: by emulation, major parameter in each subsystem is carried out to sensitivity analysis, study the mechanism that affects of each parameter antithetical phrase system performance index and operating cost, optimize the Major Systems parameter of each subsystem;
The 4th step, derivation whole system Index For Steady-state, Applicative time-event mixed-step is set up the realistic model of whole system, and applies actual production data and verify and revise.
Three open queuing systems in described second step are: pellet in a shotgun cartridge system, transportation subsystem and blast furnace casting subsystem are converted in pre-service-converter.
The 3rd described step neutron system performance index refers to: team leader, stand-by period, busy period etc.
Applied mathematics is resolved the method combining with system emulation, the optimization problem of research Batch Arrival, single queue/many queues mixing, many Repairable Service Stations of closed type queueing network.
By abstract " converting iron bag/be subject to iron flask shares " interface model of blast furnace-converter sector be " many Repairable Service Stations queueing network ", the decomposition-comprehensive method of employing is studied the affect mechanism of each Major Systems parameter on systematic steady state index and operating cost in complicated queuing system.
The advantage of the blast furnace-converter sector Modeling of Scheduling method of patent of the present invention based on waiting line theory and system emulation is: (1) utilizes Queueing Theory Method and system emulation combination to blast furnace-converter sector Modeling of Scheduling, can optimize rationally, accurately that blast furnace-converter sector hot-metal bottle causes because the stand-by period is long block up, the problem such as hot metal temperature drop is large, for energy-conservation, enhance productivity, reduce operating cost and have obvious effect; (2) by the combination of mathematical analysis and system emulation, exposing system moving law comprehensively and accurately, important parameter in arrival process, departure process, queue discipline and the information desk vacation policy of Optimize and line up system, to obtaining minimum prioritization scheme systematic running cost for, for the dynamic orderly function of " converting iron bag/be subject to iron flask shared " interface model lays the foundation.
Accompanying drawing explanation
Further illustrate flesh and blood of the present invention below in conjunction with accompanying drawing with example, but content of the present invention is not limited to this.
Fig. 1 is patent process route block diagram of the present invention.
Embodiment
The first step, by the Field Research and the related data that adopt " converting iron bag/be subject to iron flask shares " interface model typical case iron and steel enterprise are measured, grasp the production data of " converting iron bag/be subject to iron flask shares " interface model, and enterprise practical data are carried out to matching by the theoretical distribution of certain forms with canonical statistics estimating method, measure its fitting degree so that data are processed by test of hypothesis.
Second step, be decomposed into three open queuing systems by the closed type queuing system of the different interface models of will " converting iron bag/be subject to iron flask shared " of function, judge whether each subsystem is that Markovian process maybe could change Markovian process into, determine by embedded Markov chain method or matrix geometric solution method, the steady-state behaviour index of each subsystem of deriving.Applicative time-event mixed-step is set up each subsystem realistic model, and applies enterprise practical production data and verify and revise.
The 3rd step, this project adopts optimizing algorithm to optimize each subsystem major parameter.
The 4th step, suitably supposes and simplifies the complicated queuing system of " converting iron bag/be subject to iron flask shares " interface model, and application is intended birth and death process method and derived " converting iron bag/be subject to iron flask shared " interface model queuing system steady-state distribution existence condition; Application matrix geometric solution method its Index For Steady-state of deriving; Based on hot-metal bottle arrival process before each information desk, wait in line and hot metal temperature drop expense, hot-metal bottle trucking costs and major equipment that departure process the brings expense tectonic system overall running cost function of having a holiday.Applicative time-event mixed-step is set up the realistic model of whole system, and applies actual production data and verify and revise.
Embodiment 1:
Use the blast furnace-converter sector Modeling of Scheduling method based on waiting line theory and system emulation, for blast furnace-converter sector dispatching system, mainly comprise the following steps:
(1) production data obtains and processes
By the Field Research and the related data that adopt " converting iron bag/be subject to iron flask shares " interface model typical case iron and steel enterprise are measured, grasp " converting iron bag/be subject to iron flask shares " interface model blast furnace, the converter smelting cycle, time between overhauls(TBO), failure-frequency, hourly output, usage factor, iron time rhythm taps a blast furnace/converts, several tanks of hot-metal bottle one car arrive/leave, the statistics at arrival/time departure interval, each major equipment and inspection tank station, hot-metal bottle queueing form before switchyard, stand-by period, haulage track is arranged, distance, locomotive engine empty wagons/loaded vehicle travelling speed, vehicle density, the information such as time dependent statistics of molten iron temperature in hot-metal bottle operational process.Enterprise practical data are carried out to matching by the theoretical distribution of certain forms with canonical statistics estimating method, and measure its fitting degree by test of hypothesis, as matching obtains approval, can in simulation, use this distribution function to go generating random variable to simulate various stochastic processes.
(2) system decomposition and subsystem performance index analysis
Be decomposed into three open queuing systems by the closed type queuing system of the different interface models of will " converting iron bag/be subject to iron flask shared " of function, be respectively: pellet in a shotgun cartridge system, transportation subsystem and blast furnace casting subsystem are converted in pre-service-converter.Wherein, pre-service-converter convert that pellet in a shotgun cartridge system is that Batch Arrival, single queue are queued up, the repaiied queuing system of two information desk series connection, multiple waiter's parallel connections; Transportation subsystem can be regarded as that Batch Arrival, single queue are queued up, many information desks tandem queue [system] (think that switchyard and inspection tank station can not repair); Blast furnace casting subsystem is that Batch Arrival, many queues are queued up, many waiters parallel connection can be repaiied queuing system.Judge whether each subsystem is that Markovian process maybe could change Markovian process into, determine by the derive steady-state behaviour index of each subsystem of embedding markov method or matrix geometric solution method.Based on arrival process, wait in line and hot metal temperature drop expense, hot-metal bottle trucking costs and the major equipment expense of having a holiday that departure process brings are constructed each subsystem operating cost function.
(3) subsystem modeling and optimization
(time occurring take event is as step-length for Applicative time-event mixed-step, and this step-length is represented to promote the evolution of emulation clock by time step) set up each subsystem realistic model, and each parameter of any subsystem is carried out to sensitivity analysis, application enterprise practical production data is verified and revises.
This project adopts following optimizing algorithm to optimize each subsystem major parameter.
If subsystem operating cost function is F (M, N), its minimum M in F depends on two variable M and N.The span of M is (m1, m2 ... mk), the span of N is (n1, n2 ... nk), selective input combination has mk × nk, and the process of optimizing is as follows:
Step1: calculate F (m
1, n
1), and get Min F=F (m
1, n
1);
Step2: circulation I M=m
1m
k
Step3: circulation II N=n
1n
k
Step4: calculate F (m
i, n
j);
If F is (m
i, n
j) < Min F;
Min F=F (m so
i, n
j);
Step5: end loop II
Step6: end loop I
As long as the value spacing of M, N is enough little, just can determine M value and the N value of the lowest coursing cost, above optimizing algorithm can guarantee the accuracy of optimizing in the situation that of uncertain operating cost Experience about Monotonicity of Functions or corner position.Meanwhile, because many systematic parameters are discrete variables, span is limited, and therefore simulation optimization calculated amount can significantly not increase.By emulation, the major parameter in each subsystem is carried out to sensitivity analysis, study the mechanism that affects of each parameter antithetical phrase system performance index (as team leader, stand-by period, busy period etc.) and operating cost, optimize the Major Systems parameter of each subsystem.
(4) whole system Index For Steady-state is derived and simulation modeling
The complicated queuing system of " converting iron bag/be subject to iron flask shares " interface model is suitably supposed and simplified (if inspection tank station is not Poisson process as information desk, arrival and departure process), and application is intended birth and death process method and is derived " converting iron bag/be subject to iron flask shared " interface model queuing system steady-state distribution existence condition; Application matrix geometric solution method its Index For Steady-state of deriving; Based on hot-metal bottle arrival process before each information desk, wait in line and hot metal temperature drop expense, hot-metal bottle trucking costs and major equipment that departure process the brings expense tectonic system overall running cost function of having a holiday." converting iron bag/be subject to iron flask shares " interface model based on investigation, Applicative time-event mixed-step is set up the realistic model of whole system, and applies actual production data and verify and revise.
(5) determining of whole system prioritization scheme
The parameters definite according to subsystem optimization, dwindles the span of each parameter, determines the optimization pre-program of " convert iron bag/shared by iron flask " interface model queuing system; Each pre-program is carried out to emulation, and the affect rule of analysis of key systematic parameter on overall running cost, determines the prioritization scheme of whole system by the optimizing algorithm of carrying in (3).
Claims (5)
1. the blast furnace-converter sector Modeling of Scheduling method based on waiting line theory and system emulation, is characterized in that: the method that the method adopts waiting line theory and system emulation to combine, realize the modeling to blast furnace-converter sector dispatching system, and set up model step and be:
(1) production data obtains and processes
By the Field Research and the related data that adopt " converting iron bag/be subject to iron flask shares " interface model typical case iron and steel enterprise are measured, grasp " converting iron bag/be subject to iron flask shares " interface model blast furnace, the converter smelting cycle, time between overhauls(TBO), failure-frequency, hourly output, usage factor, iron time rhythm taps a blast furnace/converts, several tanks of hot-metal bottle one car arrive/leave, the statistics at arrival/time departure interval, each major equipment and inspection tank station, hot-metal bottle queueing form before switchyard, stand-by period, haulage track is arranged, distance, locomotive engine empty wagons/loaded vehicle travelling speed, vehicle density, the time dependent statistical information of molten iron temperature in hot-metal bottle operational process, enterprise practical data are carried out to matching by the theoretical distribution of certain forms with canonical statistics estimating method, and measure its fitting degree by test of hypothesis, as matching obtains approval, can in simulation, use this distribution function to go generating random variable to simulate various stochastic processes,
(2) system decomposition and subsystem performance index analysis
Be decomposed into three open queuing systems by the closed type queuing system of the different interface models of will " converting iron bag/be subject to iron flask shared " of function, be respectively: pellet in a shotgun cartridge system, transportation subsystem and blast furnace casting subsystem are converted in pre-service-converter; Wherein, pre-service-converter convert that pellet in a shotgun cartridge system is that Batch Arrival, single queue are queued up, the repaiied queuing system of two information desk series connection, multiple waiter's parallel connections; Transportation subsystem can be regarded as that Batch Arrival, single queue are queued up, many information desks tandem queue [system], thinks that switchyard and inspection tank station can not repair; Blast furnace casting subsystem is that Batch Arrival, many queues are queued up, many waiters parallel connection can be repaiied queuing system; Judge whether each subsystem is that Markovian process maybe could change Markovian process into, determine by the derive steady-state behaviour index of each subsystem of embedding markov method or matrix geometric solution method; Construct each subsystem operating cost function based on arrival process, queuing is treated and departure process brings hot metal temperature drop expense, hot-metal bottle trucking costs and the major equipment expense of having a holiday;
(3) subsystem modeling and optimization
Applicative time-event mixed-step, the time occurring take event is as step-length, and by this-step-length represents to promote the evolution of emulation clock, sets up each subsystem realistic model by time step, and each parameter of any subsystem is carried out to sensitivity analysis, application enterprise practical production data is verified and revises;
This project adopts following optimizing algorithm to optimize each subsystem major parameter;
If subsystem operating cost function is F (M, N), its minimum M in F depends on two variable M and N; The span of M is (m1, m2 ... mk), the span of N is (n1, n2 ... nk), selective input combination has mk × nk, and the process of optimizing is as follows:
Step1: calculate F (m
1, n
1), and get Min F=F (m
1, n
1);
Step2: circulation I M=m
1m
k
Step3: circulation II N=n
1n
k
Step4: calculate F (m
i, n
j);
If F is (m
i, n
j) < Min F;
Min F=F (m so
i, n
j);
Step5: end loop II
Step6: end loop I
As long as the value spacing of M, N is enough little, just can determine M value and the N value of the lowest coursing cost, above optimizing algorithm can guarantee the accuracy of optimizing in the situation that of uncertain operating cost Experience about Monotonicity of Functions or corner position; Meanwhile, because many systematic parameters are discrete variables, span is limited, and therefore simulation optimization calculated amount can significantly not increase; By emulation, the major parameter in each subsystem is carried out to sensitivity analysis, study the mechanism that affects of team leader, stand-by period, busy period each parameter antithetical phrase system performance index and operating cost, optimize the Major Systems parameter of each subsystem;
(4) whole system Index For Steady-state is derived and simulation modeling
It is not suitably hypothesis and simplifying of Poisson process as information desk, arrival and departure process that the complicated queuing system of " converting iron bag/be subject to iron flask shares " interface model is examined to tank station, and application is intended birth and death process method and derived " convert iron bag/shared by iron flask " interface model queuing system steady-state distribution existence condition; Application matrix geometric solution method its Index For Steady-state of deriving; Based on hot-metal bottle arrival process before each information desk, wait in line and hot metal temperature drop expense, hot-metal bottle trucking costs and major equipment that departure process the brings expense tectonic system overall running cost function of having a holiday; " converting iron bag/be subject to iron flask shares " interface model based on investigation, Applicative time-event mixed-step is set up the realistic model of whole system, and applies actual production data and verify and revise;
(5) determining of whole system prioritization scheme
The parameters definite according to subsystem optimization, dwindles the span of each parameter, determines the optimization pre-program of " convert iron bag/shared by iron flask " interface model queuing system; Each pre-program is carried out to emulation, and the affect rule of analysis of key systematic parameter on overall running cost, determines the prioritization scheme of whole system by the optimizing algorithm of carrying in (3).
2. the blast furnace-converter sector Modeling of Scheduling method based on waiting line theory and system emulation according to claim 1, is characterized in that: three open queuing systems described in step (2) system decomposition and subsystem performance index analysis are: pellet in a shotgun cartridge system, transportation subsystem and blast furnace casting subsystem are converted in pre-service-converter.
3. the blast furnace-converter sector Modeling of Scheduling method based on waiting line theory and system emulation according to claim 1, is characterized in that: the subsystem performance index in step (3) subsystem modeling and optimization refers to: team leader, stand-by period and busy period.
4. the blast furnace-converter sector Modeling of Scheduling method based on waiting line theory and system emulation according to claim 1, it is characterized in that: applied mathematics is resolved the method combining with system emulation the optimization problem of research Batch Arrival, single queue/many queues mixing, many Repairable Service Stations of closed type queueing network.
5. the blast furnace-converter sector Modeling of Scheduling method based on waiting line theory and system emulation according to claim 1, it is characterized in that: by abstract " converting iron bag/be subject to iron flask shares " interface model of blast furnace-converter sector be " many Repairable Service Stations queueing network ", the decomposition-comprehensive method of employing is studied the affect mechanism of each Major Systems parameter on systematic steady state index and operating cost in complicated queuing system.
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| CN102629286B (en) * | 2012-02-24 | 2013-11-06 | 北京首钢自动化信息技术有限公司 | Blast furnace burden distribution value simulation method based on intelligent algorithm |
| CN110610248A (en) * | 2019-09-05 | 2019-12-24 | 西北工业大学 | Spare part and ground equipment combined optimization method in multi-stage repair mode |
| CN112464445B (en) * | 2020-11-10 | 2022-08-12 | 中冶赛迪工程技术股份有限公司 | Automatic simulation and optimization system for railway transportation of molten iron |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN1556486A (en) * | 2003-12-31 | 2004-12-22 | 冶金自动化研究设计院 | Integrated iron and steel enterprise production process on line planning and controlling system and method |
| CN101591730A (en) * | 2009-07-01 | 2009-12-02 | 东北大学 | A kind of method and apparatus that improves operating efficiency of material handling equipment of bell type furnace units of steel enterprises |
| CN101833322A (en) * | 2010-05-19 | 2010-09-15 | 昆明理工大学 | Expert system and control method applied to blast furnace-converter sector production scheduling process control of steel enterprises |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1556486A (en) * | 2003-12-31 | 2004-12-22 | 冶金自动化研究设计院 | Integrated iron and steel enterprise production process on line planning and controlling system and method |
| CN101591730A (en) * | 2009-07-01 | 2009-12-02 | 东北大学 | A kind of method and apparatus that improves operating efficiency of material handling equipment of bell type furnace units of steel enterprises |
| CN101833322A (en) * | 2010-05-19 | 2010-09-15 | 昆明理工大学 | Expert system and control method applied to blast furnace-converter sector production scheduling process control of steel enterprises |
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