CN105243512A - Dynamic scheduling method of steelmaking operation plan - Google Patents
Dynamic scheduling method of steelmaking operation plan Download PDFInfo
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Abstract
The invention discloses a dynamic scheduling method of a steelmaking operation plan. The method mainly comprises the following steps: 1) carrying out tundish plan scheduling, and making a steel mill tundish plan according to a production order of a steel mill or a rolling plan of slabs which need to be subjected to hot charging and hot transfer, wherein the rolling plan is transmitted from a hot rolling factory; 2) making a continuous casting machine operation plan, receiving the tundish plan and site actual performance feedback, generating the continuous casting machine operation plan, and re-adjusting the plan according to production time data, wherein the step of making the continuous casting machine operation plan mainly comprises the following substeps of making cast time, sorting heat in the cast and making heat time; and 3) making a smelting operation plan, and realizing the making of the smelting operation plan according to the continuous casting machine operation plan, and re-adjusting the plan according to practical production working conditions. The dynamic scheduling method guarantees production safety, lowers production and operation cost, saves energy, enhances enterprise management, improves production efficiency and accelerates enterprise benefits to be maximized.
Description
Technical field
The invention belongs to smelting iron and steel Based Intelligent Control and dispatching technique field, be specifically related to a kind of steelmaking operations plan Dynamic Scheduling method.
Background technology
In steelmaking process, material circulates at each inter process, and the upstream and downstream operation of same operation span centre realizes being connected by overhead traveling crane transport; And for the operation of different span centre, then mainly realize being connected by chassis transport; The material of transport comprises steel scrap, molten iron, molten steel, auxiliary material and container etc.The material transportation unobstructed foundation stone that be guarantee steelmaking process run well of steelshop to the whole process of molten steel injection conticaster is entered from molten iron.It is that each operation precision of steelmaking process is connected, the important guarantee of orderly function that plan under rational production plan and fortuitous event is reset, to balanced production, energy-saving and cost-reducing, save production and operation cost, improve productivity effect and enterprise competitiveness significant.
The production management technology of the most of steelmaking process of current China and means still backwardness, the level of IT application obviously lags behind the relevant industries level of developed economies, still based on manual operation.The production plan method of combination of current existence belongs to static method mostly, automatically production plan can not be adjusted according to field working conditions, in addition, the plan method of combination based on heuritic approaches such as genetic algorithms exist randomness large, be difficult to consider the problems such as all constraints, result of field running is not satisfactory.
Summary of the invention
For overcoming above-mentioned the deficiencies in the prior art, the object of the present invention is to provide a kind of improve iron and steel enterprise scheduling level, reduce manual dispatching failure rate, alleviate dispatcher's burden, enhance productivity and realize a kind of steelmaking operations plan Dynamic Scheduling method of energy-saving and emission-reduction.
For achieving the above object, the present invention by the following technical solutions: a kind of steelmaking operations plan Dynamic Scheduling method, the method mainly comprises the following steps:
Step one, tundish plan layout, according to the slab rolling plan needing hot-loading and hot-conveying that steelworks production order and/or hot rolling mill transmit, develop the plan of steelworks tundish, concrete steps are as follows:
101) order pre-service, mates with Current Library storage according to the steel grade of customer order, specification, production information, calculates the slab quantity needing to smelt; Secondly, customer order is decomposed into multiple little order by product information, the corresponding a kind of steel grade of each little order and slab specification;
102) order gathers group, and the multiple little order decomposed in order pretreatment stage multiple customer order carries out poly-group, gathers in same group by steel grade, the same or analogous order of slab specification;
103) divide stove group stove, the order that output demand in poly-group is greater than converter smelting furnace is decomposed into multiple heat, output demand is less than the order of converter smelting furnace and non-whole stove and is combined as whole stove according to the difference of steel grade, billet specification;
104) to water time combination, the heat corresponding to each order and the current condition of production of conticaster are carried out group and are watered, and require according to the output demand of order, steel grade, slab specification requirement combines with steel works equipment ability, composition waters time number of times;
105) cast scheduling, according to the difference between conticaster service condition and order delivery date, under the support of cast scheduling rule base, is automatically optimized to calculate and solve and respectively waters time or the sequencing problem of tundish;
Step 2, the layout of conticaster production plan, receive tundish plan and on-the-spot actual achievement feedback, generate conticaster production plan, and according to production time data, plan is resetted, mainly comprise: water time time sequential routine, water time interior heat sequence, heat time sequential routine
201) time time sequential routine is watered, receive the tundish plan that tundish plan layout passes down, obtain in tundish and water corresponding relation that is secondary and conticaster, according to conticaster current state information and conticaster activity duration parameter information historical data being excavated to acquisition, what calculating was associated with conticaster waters the subjob time;
202) water time interior heat sequence, according to the difference of watering between time middle heat, under the support of heat sort rules library, calculate and implement to be optimized sequence to watering time interior each heat;
203) heat time sequential routine, by obtaining the casting time parameter of different ladle, different slide gate nozzle access times, Different Weight molten steel to the excavation of historical data base, under existing plan casting time of respectively to water time and plan stop the support of the time of watering, calculate the plan casting time of each heat in watering time;
Step 3, the layout of smelting production plan, according to conticaster production plan, realize the layout of smelting production plan, and reset to plan according to actual production operating mode.Concrete steps are as follows:
301) steel grade-path rule list is set up;
302) the processing time list of each steel grade in different operation is set up;
303) the haulage time list between different operation is set up;
304) based on the rule that conticaster constantly waters, to retrodict refinery process plan to the haulage time of refining and steel grade path list according to the working time of each heat on conticaster and conticaster;
305) according to the working time of each heat in refining be refined to the haulage time of converter and steel grade path list and retrodict converter production plan;
306) to retrodict desulfurization station production plan to the haulage time of desulfurization and steel grade path list according to the working time of each heat in converter and converter;
307) analyze the reason causing current planning to change, if exist, enter next step, otherwise new reason is added reschedule preparation storehouse;
308) according to the reschedule rule base set up, current work plan is readjusted;
309) search for reschedule preparation storehouse, if there is newcomer to enter, formulates new reschedule rule and add reschedule storehouse.
The technical solution adopted in the present invention has following beneficial effect: the production plan dynamic adjusting method that the present invention adopts can make real-time adjustment according to scene is actual, realize orderly, the compact operation of steelmaking process, overcome static scheduling method by the artificial drawback constantly adjusting production plan according to field condition.The present invention can be used to the operation supporting corresponding production management of steelmaking dispatching system, the display of data that it provides and capacity of arranging movements, gives positive help and constraint to production operation personnel, saves production cost, reduces energy consumption, improve the production efficiency that steel is looked forward to.
Accompanying drawing explanation
Fig. 1 is general frame schematic diagram of the present invention;
Fig. 2 is the process flow diagram smelting production plan layout in the present invention.
Fig. 3 is steelmaking process production plan program system Gantt chart of the present invention.
Embodiment
Technical scheme of the present invention is further illustrated by embodiment below in conjunction with accompanying drawing.
As shown in Figure 1 and Figure 2, a kind of steelmaking operations plan Dynamic Scheduling method, the method mainly comprises the following steps:
Step one, tundish plan layout, according to the slab rolling plan needing hot-loading and hot-conveying that steelworks production order and/or hot rolling mill transmit, develop the plan of steelworks tundish, concrete steps are as follows:
101) order pre-service, mates with Current Library storage according to the steel grade of customer order, specification, production information, calculates the slab quantity needing to smelt; Secondly, customer order is decomposed into multiple little order by product information, the corresponding a kind of steel grade of each little order and slab specification.
102) order gathers group, and the multiple little order decomposed in order pretreatment stage multiple customer order carries out poly-group, gathers in same group by steel grade, the same or analogous order of slab specification; Group stove and the group of being convenient to production run are watered, thus improve plant factor and output.
The poly-group of mode being order and dividing into groups, has the order of like attribute to be grouped in together.Before poly-group is used for the scheduling stage of system.Define one poly-group and can use many rules, only have the order meeting rules (logic of AND) whole in rule set to fall into this poly-group.
Order format requires to include: order number, steel grade number, billet specification, weight, order placement date, estimate date of manufacture, order dilivery date etc.
Poly-group rule: by steel grade, width of plate slab, order dilivery date, user or the poly-prescription method of other rule definition.Below several rules in poly-group rule are briefly listed:
(1) dilivery date is regular: according to dilivery date, is gathered in the same set by the order close delivery date;
(2) steel grade rule: die of the same race or similar die are gathered in the same set;
(3) width of plate slab rule: same or analogous for width of plate slab order is gathered at same group.
103) divide stove group stove, the order that output demand in poly-group is greater than converter smelting furnace is decomposed into multiple heat, output demand is less than the order of converter smelting furnace and non-whole stove and is combined as whole stove according to the difference of steel grade, billet specification; Divide stove group stove to export to comprise: heat number, steel grade, order number, slab specification.
The main rule of dividing stove group stove to follow is as follows:
(1) heat size constraint: each heat weight must within heat size scope;
(2) order constraint: when the demand of an order is greater than the max cap. of a heat, needs to be that multiple heat is smelted by this order decomposition; When an order can not be divided into multiple whole stove, then last non-whole stove and other orders carry out plan on grouping furnaces.
104) to water time combination, the heat corresponding to each order and the current condition of production of conticaster are carried out group and are watered, and require according to the output demand of order, steel grade, slab specification requirement combines with steel works equipment ability, composition waters time number of times; The continuous casting tundish productive capacity used can be made full use of, add charging plan to the tundish also not making full use of performance; Can ensure that all heats are all organized in certain waters time, there is not remaining heat, and realize watering and time to be associated with conticaster.Water time array output form to comprise: water secondary number, continuous casting plane No., all heats number comprised, casting steel grade type.
Water time main technique constraint rule of combination to have:
(1) tundish constraint: by the impact of tundish work life, maximum heat number in watering time;
(2) constraint at delivery date: all orders must complete within delivery date;
(3) constraint is watered time: complete used the watering of all orders and time to minimize.
105) cast scheduling, according to the difference between conticaster service condition and order delivery date, under the support of cast scheduling rule base, is automatically optimized to calculate and solve and respectively waters time or the sequencing problem of tundish;
Step 2, the layout of conticaster production plan, receive tundish plan and on-the-spot actual achievement feedback, generate conticaster production plan, and according to production time data, plan is resetted, mainly comprise: water time time sequential routine, water time interior heat sequence, heat time sequential routine
201) time time sequential routine is watered, receive the tundish plan that tundish plan layout passes down, obtain in tundish and water corresponding relation that is secondary and conticaster, according to conticaster current state information and conticaster activity duration parameter information historical data being excavated to acquisition, what calculating was associated with conticaster waters the subjob time;
202) water time interior heat sequence, according to the difference of watering between time middle heat, under the support of heat sort rules library, calculate and implement to be optimized sequence to watering time interior each heat; Heat ordering rule comprises:
(1) slab specification rule: during heat sequence, heat identical for slab specification is connected;
(2) steel grade rule: heat identical for steel grade is connected;
(3) minimum number regulates rule: for adjustable wide conticaster, width of plate slab can change, but requires it is increase progressively continuously or change degressively continuously, makes conticaster width adjusting least number of times.
203) heat time sequential routine, by obtaining the casting time parameter of different ladle, different slide gate nozzle access times, Different Weight molten steel to the excavation of historical data base, under existing plan casting time of respectively to water time and plan stop the support of the time of watering, calculate the plan casting time of each heat in watering time;
Step 3, the layout of smelting production plan, according to conticaster production plan, realize the layout of smelting production plan, and reset to plan according to actual production operating mode, concrete steps are as follows:
301) steel grade-path rule list is set up;
302) the processing time list of each steel grade in different operation is set up;
303) the haulage time list between different operation is set up;
304) based on the rule that conticaster constantly waters, to retrodict refinery process plan to the haulage time of refining and steel grade path list according to the working time of each heat on conticaster and conticaster;
305) according to the working time of each heat in refining be refined to the haulage time of converter and steel grade path list and retrodict converter production plan;
306) to retrodict desulfurization station production plan to the haulage time of desulfurization and steel grade path list according to the working time of each heat in converter and converter;
307) analyze the reason causing current planning to change, if exist, enter next step, otherwise new reason is added reschedule preparation storehouse;
308) according to the reschedule rule base set up, current work plan is readjusted;
309) search for reschedule preparation storehouse, if there is newcomer to enter, formulates new reschedule rule and add reschedule storehouse.
The principle of work of smelting production plan layout is as follows, is mainly divided into three phases: heat processing route, the heat activity duration, and heat operation is reset.
1. heat processing route
Determine that conticaster is each and water time each stove molten steel (determining enterprise number) concrete technology path from converter to conticaster corresponding, the processing route watering secondary the 3rd heat (plan steel grade is L485MB) for C00001 as 2# conticaster is: 3#KR desulfurization station → 3# converter → 2#LF stove → 3#RH stove → 3#CC.
First, according to plan steel grade grade of steel information, the heat of molten steel in determining to water time was heavily refining or a double refining, and refining furnace used is that LF stove or RH stove or two kinds of refining furnaces all need, and the use order sequence continued LF stove and RH stove, obtain rough heat processing route.Secondly whether, according to constraint rule storehouse and current device relevant information, in determining to water time, every stove molten steel raw material molten iron is from which KR desulfurization station, and the molten steel undertaken by which converter is produced, be what kind of the path of multiple refining and refining is.If only have a scheme to be selected in, be the final processing route of this heat; Certainly more than one of the processing route scheme possibility decided like this, then continue to screen scheme.Finally, when there are many selective heat processing route schemes, then need to call principle of optimality storehouse, to calculate and compare according to unified Calculation Methods for Performance to many schemes, the highest heat processing route of selectivity score is as the final processing route of this heat.
2. heat production plan
When the final processing route of each heat of acquisition, by planned start time, the planned end time of conticaster, counter pushing away determines that the corresponding heat of each enterprise number is at corresponding converter, LF stove, the planned start time of RH stove, planned end time.
3. heat operation is reset
The information displaying fed back when operation implementation effect (production actual achievement, equipment state, field accident) needs " Plan rescheduling ", then carrying out the processing route of relevant heat or the activity duration adjusts accordingly according to reschedule rule base to smelting production plan, obtaining the smelting production plan meeting on-the-spot actual achievement.
Readjust the main rule that production plan adopts as follows:
1) time disturbance
1. time deviation scope is [-T1, T1] minute, does not adjust.
2. time deviation scope is [-T2 ,-T1) or (T1, T2] minute, postpone or pre-set time deviation.
3. time deviation scope exceedes ± T2 minute, " stopping watering " instruction is sent out to current conticaster, send out " adjustment request " to casting order decomposing module, coordination optimization conticaster production plan and smelt production plan and form new heat production plan according to optimum results simultaneously.
Annotation: T1, T2 are time parameters, and T1 < T2, concrete numerical value needs to determine according to on-site actual situations.
2) thermal perturbation
1. temperature deviation scope is [-C1, C1] DEG C, does not adjust.
2. temperature deviation scope is (C1 ,+∞) DEG C, waits for temperature drop, and the time deviation that postpones.
3. temperature deviation scope be [-C2 ,-C1) DEG C, refining heats up, and the time deviation that postpones.
4. temperature deviation scope is (-∞ ,-C2) DEG C, sends out " adjustment request " to casting order decomposing module, coordination optimization conticaster production plan and smelt production plan and form new heat production plan according to optimum results.
Annotation: C1, C2 are temperature parameters, and C1 < C2, concrete numerical value needs to determine according to on-site actual situations.
3) casting is abnormal
1. remain molten steel amount be (0, G1] ton, send out " molten steel melts down " request to casting order decomposing module, coordination optimization conticaster production plan and smelting production plan also form new heat production plan according to optimum results.
2. remaining molten steel amount be (G1, G2) ton, sends out " with light packs enter " request to casting order decomposing module, and coordination optimization conticaster production plan and smelting production plan also form new heat production plan according to optimum results.
3. remaining molten steel amount be [G2, M] ton, sends out " change of casting direction " request to casting order decomposing module, and coordination optimization conticaster production plan and smelting production plan also form new heat production plan according to optimum results.
Annotation: G1, G2, M are weight parameters, and G1 < G2 < M, M are the maximum containing values of ladle, concrete numerical value needs to determine according to on-site actual situations.
4) equipment failure
Judge that whether same category of device is available free or can be inserted into production in the middle of same category of device, coordination optimization conticaster production plan and smelting production plan carry out layout again to heat production plan, make equipment capacity rebalancing.
As shown in Figure 3, steelmaking process production schedules layout example Gantt chart of the present invention.This example has 3 conticasters (CC), two RH refining furnaces, 3 LF refining furnaces, 3 converters (BOF), in figure same to water time in all heat colors identical, 6-1 represent the 6th to water time in the first heat, line represents a complete production procedure, wherein the complete production procedure of heat 6-1 is BOF1-LF3-RH2-CC3, and this processing route is determined by institute's steelmaking kind.In figure totally 9 water time 51 heats, production plan layout according to be under the conticaster prerequisite of constantly watering in a tundish according to steel grade path and haulage time and each operation production time retrodict each heat in the production of refining and converter and desulfurization process the initial and end time.Through comparing, institute of the present invention extracting method calculates simple, and layout is effective, and the changing capability that conforms is strong, is a kind of effective ways of popularization of value.
The present invention is reasonable in design, corresponding steelworks logistic track and Production investigtion can be adapted to, for it provides efficient production layout decision support, ensure that production safety, reduce production and operation cost, save the energy, strengthen business administration, enhance productivity, promoting enterprise maximizing the benefits.
More than show and describe ultimate principle of the present invention and principal character.The technician of the industry should understand; the present invention is not restricted to the described embodiments; what describe in above-described embodiment and instructions just illustrates principle of the present invention; without departing from the spirit and scope of the present invention; the present invention also has various changes and modifications, and these changes and improvements all fall in the claimed scope of the invention.Application claims protection domain is defined by appending claims and equivalent thereof.
Claims (1)
1. a steelmaking operations plan Dynamic Scheduling method, is characterized in that: the method mainly comprises the following steps:
Step one, tundish plan layout, according to the slab rolling plan needing hot-loading and hot-conveying that steelworks production order and/or hot rolling mill transmit, develop the plan of steelworks tundish, concrete steps are as follows:
101) order pre-service, mates with Current Library storage according to the steel grade of customer order, specification, production information, calculates the slab quantity needing to smelt; Secondly, customer order is decomposed into multiple little order by product information, the corresponding a kind of steel grade of each little order and slab specification;
102) order gathers group, and the multiple little order decomposed in order pretreatment stage multiple customer order carries out poly-group, gathers in same group by steel grade, the same or analogous order of slab specification;
103) divide stove group stove, the order that output demand in poly-group is greater than converter smelting furnace is decomposed into multiple heat, output demand is less than the order of converter smelting furnace and non-whole stove and is combined as whole stove according to the difference of steel grade, billet specification;
104) to water time combination, the heat corresponding to each order and the current condition of production of conticaster are carried out group and are watered, and require according to the output demand of order, steel grade, slab specification requirement combines with steel works equipment ability, composition waters time number of times;
105) cast scheduling, according to the difference between conticaster service condition and order delivery date, under the support of cast scheduling rule base, is automatically optimized to calculate and solve and respectively waters time or the sequencing problem of tundish;
Step 2, the layout of conticaster production plan, mainly comprise: water time time sequential routine, water time interior heat sequence, heat time sequential routine,
201) time time sequential routine is watered, receive the tundish plan that tundish plan layout passes down, obtain in tundish and water corresponding relation that is secondary and conticaster, according to conticaster current state information and conticaster activity duration parameter information historical data being excavated to acquisition, what calculating was associated with conticaster waters the subjob time;
202) water time interior heat sequence, according to the difference of watering between time middle heat, under the support of heat sort rules library, calculate and implement to be optimized sequence to watering time interior each heat;
203) heat time sequential routine, by obtaining the casting time parameter of different ladle, different slide gate nozzle access times, Different Weight molten steel to the excavation of historical data base, under existing plan casting time of respectively to water time and plan stop the support of the time of watering, calculate the plan casting time of each heat in watering time;
Step 3, the layout of smelting production plan, concrete steps are as follows:
301) steel grade-path rule list is set up;
302) the processing time list of each steel grade in different operation is set up;
303) the haulage time list between different operation is set up;
304) based on the rule that conticaster constantly waters, to retrodict refinery process plan to the haulage time of refining and steel grade path list according to the working time of each heat on conticaster and conticaster;
305) according to the working time of each heat in refining be refined to the haulage time of converter and steel grade path list and retrodict converter production plan;
306) to retrodict desulfurization station production plan to the haulage time of desulfurization and steel grade path list according to the working time of each heat in converter and converter;
307) analyze the reason causing current planning to change, if exist, enter next step, otherwise new reason is added reschedule preparation storehouse;
308) according to the reschedule rule base set up, current work plan is readjusted;
309) search for reschedule preparation storehouse, if there is newcomer to enter, formulates new reschedule rule and add reschedule storehouse.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101271543A (en) * | 2008-04-23 | 2008-09-24 | 永凯软件技术（上海）有限公司 | Production scheduling system and method using genetic algorithm based on elite solution pool |
| CN101944202A (en) * | 2010-09-03 | 2011-01-12 | 昆明理工大学 | Just-in-time-based parallel forward calculation programing method for steel-making production planned time |
| CN104835012A (en) * | 2015-05-21 | 2015-08-12 | 湖南视拓科技发展有限公司 | Iron and steel enterprise production scheduling management system and production scheduling management method |
-
2015
- 2015-11-06 CN CN201510745874.4A patent/CN105243512A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101271543A (en) * | 2008-04-23 | 2008-09-24 | 永凯软件技术（上海）有限公司 | Production scheduling system and method using genetic algorithm based on elite solution pool |
| CN101944202A (en) * | 2010-09-03 | 2011-01-12 | 昆明理工大学 | Just-in-time-based parallel forward calculation programing method for steel-making production planned time |
| CN104835012A (en) * | 2015-05-21 | 2015-08-12 | 湖南视拓科技发展有限公司 | Iron and steel enterprise production scheduling management system and production scheduling management method |
Cited By (29)
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