CN110533271A - A kind of blast-furnace hot-air furnace operating state appraisal procedure - Google Patents
A kind of blast-furnace hot-air furnace operating state appraisal procedure Download PDFInfo
- Publication number
- CN110533271A CN110533271A CN201810526281.2A CN201810526281A CN110533271A CN 110533271 A CN110533271 A CN 110533271A CN 201810526281 A CN201810526281 A CN 201810526281A CN 110533271 A CN110533271 A CN 110533271A
- Authority
- CN
- China
- Prior art keywords
- hot
- blast
- monthly
- furnace
- energy consumption
- 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.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 15
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 claims abstract description 64
- 229910052742 iron Inorganic materials 0.000 claims abstract description 32
- 238000005265 energy consumption Methods 0.000 claims abstract description 26
- 239000003034 coal gas Substances 0.000 claims abstract description 24
- 208000011580 syndromic disease Diseases 0.000 claims abstract description 20
- 238000004519 manufacturing process Methods 0.000 claims description 6
- 229910000831 Steel Inorganic materials 0.000 description 3
- 238000012423 maintenance Methods 0.000 description 3
- 239000010959 steel Substances 0.000 description 3
- PEDCQBHIVMGVHV-UHFFFAOYSA-N Glycerine Chemical compound OCC(O)CO PEDCQBHIVMGVHV-UHFFFAOYSA-N 0.000 description 2
- 238000002485 combustion reaction Methods 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 229910000805 Pig iron Inorganic materials 0.000 description 1
- 230000036760 body temperature Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 239000000470 constituent Substances 0.000 description 1
- 238000001816 cooling Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
- 229910052751 metal Inorganic materials 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 230000008092 positive effect Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Classifications
-
- C—CHEMISTRY; METALLURGY
- C21—METALLURGY OF IRON
- C21B—MANUFACTURE OF IRON OR STEEL
- C21B9/00—Stoves for heating the blast in blast furnaces
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Chemical & Material Sciences (AREA)
- Strategic Management (AREA)
- Operations Research (AREA)
- Theoretical Computer Science (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Marketing (AREA)
- Manufacturing & Machinery (AREA)
- Game Theory and Decision Science (AREA)
- Materials Engineering (AREA)
- Metallurgy (AREA)
- Organic Chemistry (AREA)
- Investigating Or Analyzing Materials Using Thermal Means (AREA)
Abstract
The present invention relates to a kind of blast-furnace hot-air furnace operating state appraisal procedures, and appraisal procedure is: the first step, can find out monthly ton iron coal gas volume divided by the monthly molten iron total output of blast furnace with the monthly gas consumption total amount of hot-blast stove；Second step converts the ton iron coal gas volume that cubic meter is unit coefficient multiplied by the coal gas energy, show that unit is the ton iron coal gas energy consumption of GJ；Third step compares of that month ton iron gas consumption energy consumption, monthly average wind-warm syndrome with several months before or days average energy consumption, wind-warm syndrome, the one-way change amount of you can get it monthly ton iron coal gas energy consumption and monthly average wind-warm syndrome；4th step, the operating status trend by calculating wind-warm syndrome/energy consumption ratio, in you can get it this period of hot-blast stove.By front and back data comparison, precision data support is provided for blast funnace hot blast stove manager, provides data anticipation for the energy consumption consumption of subsequent hot-blast stove and molten iron energy cost.
Description
Technical field
The invention belongs to blast funnace hot blast stove technology fields, are related to a kind of blast-furnace hot-air furnace operating state appraisal procedure.
Background technique
For blast funnace hot blast stove after in a few years running, operating status is always the most concerned problem of blast funnace hot blast stove manager,
Generally use Thermal Efficiency of Hot Blast Stoves before to carry out comprehensive measurement, but the calculating of the thermal efficiency involve gas temperature, gas composition,
It is gas flow, combustion air temperature, combustion air flow, coefficient of excess air, exhaust gas temperature, exhaust gas constituents, exhaust gas flow, cold
Air piping temperature loss, hot air duct temperature loss, the loss of hot-blast stove body temperature, the loss of hot-blast valve water cooling, mixer selector valve are opened
The mass data such as hot blast temperature loss, cold air inlet temperature, hot blast temperature and cold flow are caused, huge operation number is not only needed
It is supported according to making to calculate, and requires detection accuracy of instrument high, data accuracy is high, and otherwise Efficiency Calculation has very large deviation, shadow
The assessment of hot wind furnace operating state is rung, accurate data support can not be provided to blast funnace hot blast stove manager.Existing blast-furnace hot-air furnaceman
Assessment in skill technology temporarily without blast-furnace hot-air furnace operating state.
Summary of the invention
In order to overcome the disadvantages mentioned above of the prior art, the present invention provides a kind of blast-furnace hot-air furnace operating state appraisal procedure,
It makes full use of common statistical data in blast fumance, and by front and back data comparison, for blast funnace hot blast stove, manager provides essence
Quasi- data supporting provides data anticipation for the energy consumption consumption of subsequent hot-blast stove and molten iron energy cost, can also be the subsequent rule of decision
The maintenance of hot-blast stove or capital expenditure provide cycle of operation prediction in drawing.
The technical solution adopted by the present invention to solve the technical problems is: a kind of blast-furnace hot-air furnace operating state assessment side
Method, appraisal procedure are:
The first step can find out monthly ton iron coal gas divided by the monthly molten iron total output of blast furnace with the monthly gas consumption total amount of hot-blast stove
Volume；
Second step converts the ton iron coal gas volume that cubic meter is unit coefficient multiplied by the coal gas energy, show that unit is the ton of GJ
Iron coal gas energy consumption；
Third step carries out of that month ton iron gas consumption energy consumption, monthly average wind-warm syndrome and several months before or days average energy consumption, wind-warm syndrome
Comparison, the one-way change amount of you can get it monthly ton iron coal gas energy consumption and monthly average wind-warm syndrome；
4th step, by calculating wind-warm syndrome/energy consumption ratio, the calculating data of you can get it hot wind furnace operating state, by hot wind
Data in furnace certain time period are equally handled, the operating status trend in you can get it this period of hot-blast stove.
Monthly ton iron coal gas volume unit is cubic meter in the first step, this data is data in normal production, if
There is improper production, should reject.
The positive effect of the present invention is: can promote the use of to the large, medium and small type blast furnace different type of steel industry iron-smelter
In the operating status assessment of hot-blast stove, by statistical data common in blast fumance: the monthly hot metal output of blast furnace, the hot-blast stove moon
Gas consumption total amount is spent, the coal gas energy is converted coefficient, and blast furnace monthly average wind-warm syndrome etc. carries out statistics and data processing, heat that you can get it
Operating status trend in wind furnace certain time period, used data are the ready-made official's data of iron-smelter, representative high, meter
It calculates simple, the comparison of longitudinal single hot wind furnace operating state can be carried out by data, hot-blast stove that can also laterally to several blast furnaces
Operating status compares.By front and back data comparison, precision data support is provided for blast funnace hot blast stove manager, is subsequent thermal
The energy consumption consumption of wind furnace and molten iron energy cost provide data anticipation, can also be the maintenance of hot-blast stove or base in the subsequent planning of decision
It builds investment and cycle of operation prediction is provided, the basic data for being related to calculating only has 4, commonly to count in ready-made blast fumance
Data, and tradition is up to 17 or more with the data that the thermal efficiency is related to calculating, large amount of complex data usually also need special equipment into
Row profession detection, in addition to institution of higher learning and Specialty Design institute, general steel plant can not also implement, and have significant limitation；The two
There is strong operability compared to the present invention, application range is more extensive；It calculates conciser, efficient；Operation trend is bright and clear, raw to scene
It produces with more advantages such as directive significances.
Detailed description of the invention
Fig. 1 is process flow chart of the invention.
Specific embodiment
The present invention is further described with reference to the accompanying drawings and embodiments.
Referring to Fig. 1, a kind of blast-furnace hot-air furnace operating state appraisal procedure, appraisal procedure is:
The first step can find out monthly ton iron coal gas divided by the monthly molten iron total output of blast furnace with the monthly gas consumption total amount of hot-blast stove
Volume；
Second step converts the ton iron coal gas volume that cubic meter is unit coefficient multiplied by the coal gas energy, show that unit is the ton of GJ
Iron coal gas energy consumption；
Third step carries out of that month ton iron gas consumption energy consumption, monthly average wind-warm syndrome and several months before or days average energy consumption, wind-warm syndrome
Comparison, the one-way change amount of you can get it monthly ton iron coal gas energy consumption and monthly average wind-warm syndrome；
4th step, by calculating wind-warm syndrome/energy consumption ratio, the calculating data of you can get it hot wind furnace operating state, by hot wind
Data in furnace certain time period are equally handled, the operating status trend in you can get it this period of hot-blast stove.
Monthly ton iron coal gas volume unit is cubic meter in the first step, this data is data in normal production, if
There is improper production, should reject.
Embodiment:
The present invention is at present in certain steel plant 1050,2500,3200m3It is applied on blast furnace formula hot-blast stove, Iron Works mainly pass through
Have data such as the moon " pig iron yield, BFG unit consumption, COG unit consumption, wind-warm syndrome " in Ji technical indicator report；Company's energy ring portion is assigned
The blast furnace gas energy is converted coefficient are as follows: 0.00335GJ/m3, the coke-stove gas energy converts coefficient are as follows: 0.0173GJ/ m3, by BFG
Unit consumption, COG unit consumption are converted coefficient multiplied by blast furnace, the coke-stove gas energy, of that month hot-blast stove consumption energy consumption are calculated, with of that month wind-warm syndrome
It can be compared together with earlier month；By calculating wind-warm syndrome/energy consumption ratio, the calculating of you can get it hot wind furnace operating state
Data, the fortune by equally being handled the data in hot-blast stove certain time period, in you can get it this period of hot-blast stove
Row state trend.Data of the present invention are the ready-made official's data of iron-smelter, representative high, calculate simply, pass through number
According to the comparison that can carry out longitudinal single hot wind furnace operating state, can also the hot wind furnace operating state laterally to several blast furnaces carry out pair
Than.By front and back data comparison, precision data support is provided for blast funnace hot blast stove manager, is that the energy consumption of subsequent hot-blast stove consumes
Data anticipation is provided with molten iron energy cost, can also be mentioned for decision the leader maintenance of hot-blast stove or capital expenditure in subsequent planning
It is predicted for the cycle of operation.
Claims (2)
1. a kind of blast-furnace hot-air furnace operating state appraisal procedure, it is characterised in that appraisal procedure is:
The first step can find out monthly ton iron coal gas divided by the monthly molten iron total output of blast furnace with the monthly gas consumption total amount of hot-blast stove
Volume；
Second step converts the ton iron coal gas volume that cubic meter is unit coefficient multiplied by the coal gas energy, show that unit is the ton of GJ
Iron coal gas energy consumption；
Third step carries out of that month ton iron gas consumption energy consumption, monthly average wind-warm syndrome and several months before or days average energy consumption, wind-warm syndrome
Comparison, the one-way change amount of you can get it monthly ton iron coal gas energy consumption and monthly average wind-warm syndrome；
4th step, by calculating wind-warm syndrome/energy consumption ratio, the calculating data of you can get it hot wind furnace operating state, by hot wind
Data in furnace certain time period are equally handled, the operating status trend in you can get it this period of hot-blast stove.
2. blast-furnace hot-air furnace operating state appraisal procedure as described in claim 1, it is characterised in that: monthly ton in the first step
Iron coal gas volume unit is cubic meter, this data is that data should be rejected if there is improper production in normal production.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810526281.2A CN110533271A (en) | 2018-05-29 | 2018-05-29 | A kind of blast-furnace hot-air furnace operating state appraisal procedure |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810526281.2A CN110533271A (en) | 2018-05-29 | 2018-05-29 | A kind of blast-furnace hot-air furnace operating state appraisal procedure |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110533271A true CN110533271A (en) | 2019-12-03 |
Family
ID=68657871
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810526281.2A Pending CN110533271A (en) | 2018-05-29 | 2018-05-29 | A kind of blast-furnace hot-air furnace operating state appraisal procedure |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110533271A (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103305647A (en) * | 2013-06-26 | 2013-09-18 | 北京建龙重工集团有限公司 | High-temperature and low-energy-consumption running state estimation and optimization method for hot air furnace system |
| CN103544273A (en) * | 2013-10-21 | 2014-01-29 | 武汉钢铁(集团)公司 | Method for assessing integral states of furnace conditions by aid of pattern recognition technology |
| CN104615856A (en) * | 2015-01-06 | 2015-05-13 | 莱芜钢铁集团电子有限公司 | Gas consumption prediction model establishing method and device based on hot blast stove group |
| CN107330597A (en) * | 2017-06-22 | 2017-11-07 | 南京南瑞继保电气有限公司 | Blast funnace hot blast stove power consumption state various dimensions appraisal procedure based on Fuzzy Pattern Recognition |
-
2018
- 2018-05-29 CN CN201810526281.2A patent/CN110533271A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103305647A (en) * | 2013-06-26 | 2013-09-18 | 北京建龙重工集团有限公司 | High-temperature and low-energy-consumption running state estimation and optimization method for hot air furnace system |
| CN103544273A (en) * | 2013-10-21 | 2014-01-29 | 武汉钢铁(集团)公司 | Method for assessing integral states of furnace conditions by aid of pattern recognition technology |
| CN104615856A (en) * | 2015-01-06 | 2015-05-13 | 莱芜钢铁集团电子有限公司 | Gas consumption prediction model establishing method and device based on hot blast stove group |
| CN107330597A (en) * | 2017-06-22 | 2017-11-07 | 南京南瑞继保电气有限公司 | Blast funnace hot blast stove power consumption state various dimensions appraisal procedure based on Fuzzy Pattern Recognition |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106521059B (en) | Blast furnace charge level ore coke ratio is measured with phased-array radar to control the method for blast furnace air flow method | |
| CN106916915A (en) | A kind of method for monitoring root position of soft heat belt in blast furnace on-line | |
| Kilinç et al. | An energy efficiency analysis of an industrial reheating furnace and an implementation of efficiency enhancements methods | |
| CN110929404A (en) | Geometric design method of thermal state blast furnace model | |
| CN104990830A (en) | Method and device for measuring effect on billet surface oxidation from furnace inside atmosphere of heating furnace | |
| CN101290253B (en) | Sintered ring cold machine air leakage rate on-line diagnostic method | |
| CN109710976B (en) | Method for predicting gas consumption of steel rolling heating furnace | |
| CN110533270B (en) | Method for evaluating running state of preheater of blast furnace hot blast stove | |
| CN106319118A (en) | Method for prolonging service life of blast furnace copper cooling wall | |
| CN110533271A (en) | A kind of blast-furnace hot-air furnace operating state appraisal procedure | |
| CN108444555A (en) | A kind of novel Venturi tube-type spreader flowmeter | |
| CN112458222A (en) | Blast furnace tuyere small sleeve leakage detection device and leakage detection method | |
| CN210012810U (en) | Device for measuring coke burning loss in dry quenching furnace | |
| CN207395817U (en) | A kind of split type Venturi tube-type spreader flowmeter | |
| CN113283701B (en) | Power generation and heat supply coal consumption accounting system under conventional operation mode of thermal power generating unit | |
| CN112414155B (en) | Method for calculating smoke gas amount of combined type steel rolling heating furnace | |
| CN106048117A (en) | Method for simply determining furnace temperature of iron making blast furnace | |
| Lyalyuk et al. | Uniformity of blast-furnace parameters over the perimeter | |
| Beck et al. | Optimized waste heat utilization in the steel industry with industrial heat pumps and low-temperature distribution system | |
| CN214060331U (en) | Waste heat collecting device for annealing kiln in glass production line | |
| CN112098458A (en) | Mixed gas heat value monitoring system and method | |
| CN104729810A (en) | Testing method of hot end air leakage rate of air pre-heater | |
| CN206875992U (en) | A kind of electric furnace water-cooling system of high carbon ferro-chrome production | |
| CN114836588B (en) | Positioning method and monitoring system for water leakage of blast furnace tuyere | |
| Gladkov et al. | Improving the Performance of the Reheating Furnace of the EVRAZ ZSMK Ball-Rolling Mills |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20191203 |
|
| RJ01 | Rejection of invention patent application after publication |