CN113128862A - Converter coal gas intelligent scheduling system - Google Patents
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- 239000003034 coal gas Substances 0.000 title claims description 21
- 239000007789 gas Substances 0.000 claims description 155
- 238000011084 recovery Methods 0.000 claims description 20
- 230000033764 rhythmic process Effects 0.000 claims description 15
- 238000004519 manufacturing process Methods 0.000 claims description 14
- 238000000034 method Methods 0.000 claims description 10
- 238000009628 steelmaking Methods 0.000 claims description 10
- 238000007664 blowing Methods 0.000 claims description 8
- 229910000831 Steel Inorganic materials 0.000 claims description 5
- 239000010959 steel Substances 0.000 claims description 5
- 238000004891 communication Methods 0.000 claims description 4
- 238000007689 inspection Methods 0.000 claims description 4
- 238000005096 rolling process Methods 0.000 claims description 4
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 3
- 239000001301 oxygen Substances 0.000 claims description 3
- 229910052760 oxygen Inorganic materials 0.000 claims description 3
- 238000004364 calculation method Methods 0.000 abstract description 7
- 230000009286 beneficial effect Effects 0.000 abstract description 2
- 238000007726 management method Methods 0.000 description 15
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 description 6
- 239000003546 flue gas Substances 0.000 description 5
- 238000012544 monitoring process Methods 0.000 description 5
- 238000005094 computer simulation Methods 0.000 description 3
- 238000004422 calculation algorithm Methods 0.000 description 2
- 238000001816 cooling Methods 0.000 description 2
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- 238000012821 model calculation Methods 0.000 description 2
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 238000003723 Smelting Methods 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
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- 239000000428 dust Substances 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
- 238000010079 rubber tapping Methods 0.000 description 1
- 239000000779 smoke Substances 0.000 description 1
- 239000007921 spray Substances 0.000 description 1
- 229910001220 stainless steel Inorganic materials 0.000 description 1
- 239000010935 stainless steel Substances 0.000 description 1
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Abstract
The invention relates to an intelligent converter gas dispatching system, and belongs to the technical field of gas dispatching equipment in the metallurgical industry. The technical scheme of the invention is as follows: the UPS system (7), the printer (6), the Python model computer (3) and the PI real-time information system (2) are respectively connected with the MYSQL database management system (1), the converter primary control system (4) is connected with the PI real-time information system (2), and the gas intelligent scheduling system picture (5) is connected with the Python model computer (3). The invention has the beneficial effects that: by establishing a gas dynamic model, real-time calculation is carried out to achieve balance, the capacity of a gas cabinet is ensured, the gas consumption of the thermoelectric converter is stably adjusted to provide generated energy, and the phenomenon that the thermoelectric gas is greatly lifted and falls when manual adjustment is not timely is eliminated.
Description
Technical Field
The invention relates to an intelligent converter gas dispatching system, and belongs to the technical field of gas dispatching equipment in the metallurgical industry.
Background
The generation of the converter gas is discontinuous and is a discontinuous process, the gas is generated in a concentrated mode in the blowing period, the dynamic balance of the gas is influenced when the production rhythm of the converter changes in different periods in the blowing period, and when a gas cabinet approaches the lower limit, the consumption of thermoelectric gas needs to be adjusted. The method is influenced by factors such as timely operation of recovery equipment, timely information transmission, coal gas recovery conditions and the like, in the daily production process, how to ensure the safety cabinet capacity of the coal gas cabinet, stably adjust the coal gas consumption of the thermoelectric converter to provide generated energy, and eliminate the phenomenon that the thermoelectric coal gas is greatly raised and fallen when manual adjustment is not timely, so that the method is a very important topic for the safe and normal production of enterprises.
In the existing converter primary dedusting gas purification and recovery system of Tang Steel stainless Steel company, converter flue gas collected by a movable smoke hood passes through a vaporization cooling flue, high-temperature flue gas at about 900 ℃ is subjected to primary purification and cooling in a high-efficiency spray washing tower, the temperature of the flue gas is reduced to about 70 ℃, the saturated flue gas is further purified by a heavy weight type adjustable venturi tube (Erwen throat for short) and a swirling flow dehydrator, and the dust content of the flue gas is less than or equal to 40mg/Nm 3. The purified flue gas enters the blower through an outdoor pipeline, is switched by a three-way valve after exiting the blower, and is combusted and diffused through a high-altitude diffusing tower or is sent to a gas chamber through a water seal valve and a V-shaped water seal. However, the capacity of the gas holder of 5 thousands is limited, so that the gas turnover is rapid, the gas dispatching needs to be balanced in time at any time, and the power generation boiler is instructed to increase and decrease the gas consumption of the converter, so as to ensure the safe operation of the gas holder. However, no converter recovery intelligent scheduling system is used for monitoring at present, dynamic balance of coal gas is affected when the production rhythm of the converter changes, and the amount of thermoelectric coal gas needs to be adjusted when a gas tank is close to the lower limit. By merely using telephone announcements, timely information delivery is not possible. The phenomenon of great rise and fall of the thermoelectric gas is caused when manual adjustment is not in time. The gas tank is easy to be high-volume and high-emission, and the gas energy is consumed. The gas consumption of the thermoelectric converter cannot be stably adjusted to provide the generated energy.
Disclosure of Invention
The invention aims to provide an intelligent converter gas dispatching system, which can achieve balance through real-time calculation by establishing a gas dynamic model, ensure the capacity of a gas cabinet safety cabinet, stably adjust the gas consumption of a thermoelectric converter to provide generated energy, and eliminate the phenomenon of great rise and fall of thermoelectric gas caused by untimely manual adjustment; after the coal gas dynamic model is established, a converter blowing plan is input into a converter operation area 2 hours in advance, thermoelectric, gas scheduling, steelmaking scheduling, a converter and 5 thousands of gas cabinets can see data of the model and given thermoelectric usage, thermoelectric is used for calculating the usage according to the model to adjust, the gas scheduling is responsible for supervision, process parameters exceed the standard and send alarm information, the gas scheduling and manual balance of coal gas are gradually changed into a mode of scheduling coal gas by a computer model, and the manual monitoring mode improves the accuracy and the efficiency and effectively solves the problems in the background technology.
The technical scheme of the invention is as follows: an intelligent converter gas scheduling system comprises a MYSQL database management system, a PI real-time information system, a Python model computer, a converter primary control system, a gas intelligent scheduling system picture, a printer and a UPS system (an uninterruptible power supply system), wherein the UPS system is connected with the MYSQL database management system through a power supply cable, the printer is connected with a MYSQL database server through a USB cable, the Python model computer is connected with the MYSQL database server through an industrial Ethernet, the PI real-time information system is connected with the MYSQL database server through the industrial Ethernet, the converter primary control system is connected with the PI real-time information system through the industrial Ethernet, and the gas intelligent scheduling system picture is connected with the Python model computer through the industrial Ethernet.
The MYSQL database management system is an open source code relational database management system, and the MYSQL database management system uses the most common database management language-structured query language to perform database management, and comprises a gas acquisition data table, a gas system parameter data table and a gas prediction data table.
The PI real-time information system comprises a PI interface machine and a PI server, wherein the PI server adopts an HP LH6000 server, the PI server is connected with a backbone network of a company, and the PI interface machine and the PI server are divided into a VLAN.
The Python model computer adopts Python language, and the model programmed by the Python language comprises: calculating the current cabinet volume trend, adjusting and calculating the thermoelectric capacity of the safety cabinet, calculating the cabinet volume trend after verifying thermoelectric adjustment and calculating the shortest gas supply time of the gas cabinet.
The converter primary control system is provided with a converter rhythm advanced input program, a data interface and a picture, wherein the converter rhythm advanced input program comprises converter production state, production interval, production state, coal gas recovery quantity, tilting and oxygen blowing quantity advanced input, the recovery and interval input time is monitored and monitored through energy and steelmaking intelligent point inspection, and if the set time and the actual deviation are more than 5 minutes, the system automatically sends out a micro-information group prompt.
The pictures of the intelligent gas dispatching system are arranged in a steel-making dispatching room, a converter gas cabinet, a gas dispatching duty room and a thermoelectric control room;
the gas intelligent scheduling system picture comprises converter gas information, gas user use information and blast furnace gas information; the converter gas information comprises 5 ten thousand cabinet volume, converter rhythm information and converter gas recovery; the gas user use information comprises a gas tank capacity 2-hour prediction curve and communication state display of each system; the blast furnace gas cabinet information comprises 10 ten thousand of cabinet volume, blast furnace gas pressure and flow, thermoelectric and steel rolling gas consumption and diffusing tower flow;
the intelligent gas dispatching system picture uses DELPHI programming and is provided with a voice prompt structure which comprises a thermoelectric adjustment quantity voice prompt and a gas cabinet volume high-low voice prompt; and (3) prompting of converter gas overrun adjustment: according to the predicted situation of the future 2 hours, the suggestion of adjusting the thermoelectric consumption is provided for the overrun, and the method currently comprises the following steps: three adjusting models of the cabinet volume exceeding the upper limit, exceeding the lower limit and deviating from the average value; and the picture is provided with a cabinet capacity, a prediction cabinet capacity alarm and each flow fault alarm.
The invention has the beneficial effects that: by establishing a gas dynamic model, real-time calculation is carried out to achieve balance, the capacity of a safety cabinet of a gas cabinet is ensured, the gas consumption of a thermoelectric converter is stably adjusted to provide generated energy, and the phenomenon that thermoelectric gas is greatly lifted and falls when manual adjustment is not timely is eliminated; after the coal gas dynamic model is established, a converter blowing plan is input into a converter operation area 2 hours in advance, thermoelectric, gas scheduling, steelmaking scheduling, a converter and 5 thousands of gas cabinets can see data of the model and given thermoelectric usage, thermoelectric is used for calculating the usage according to the model to adjust, the gas scheduling is responsible for supervision, process parameters exceed the standard and send alarm information, the gas scheduling and manual balance of coal gas are gradually changed into a mode of scheduling coal gas by a computer model, and the accuracy and the efficiency are improved in a manual monitoring mode.
Drawings
FIG. 1 is a schematic structural view of the present invention;
FIG. 2 is a picture diagram of a gas intelligent dispatching system of the embodiment of the invention;
in the figure: the system comprises a MYSQL database management system 1, a PI real-time information system 2, a Python model computer 3, a converter primary control system 4, a gas intelligent scheduling system picture 5, a printer 6 and a UPS system 7.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions of the embodiments of the present invention with reference to the drawings of the embodiments, and it is obvious that the described embodiments are a small part of the embodiments of the present invention, rather than all embodiments, and all other embodiments obtained by a person of ordinary skill in the art without creative work based on the embodiments of the present invention belong to the protection scope of the present invention.
An intelligent converter gas scheduling system comprises a MYSQL database management system 1, a PI real-time information system 2, a Python model computer 3, a converter primary control system 4, a gas intelligent scheduling system picture 5, a printer 6 and a UPS system 7, wherein the UPS system 7 is connected with the MYSQL database management system 1 through a power cable, the printer 6 is connected with the MYSQL database server 1 through a USB cable, the Python model computer 3 is connected with the MYSQL database server 1 through an industrial Ethernet, the PI real-time information system 2 is connected with the MYSQL database server 1 through the industrial Ethernet, the converter primary control system 4 is connected with the PI real-time information system 2 through the industrial Ethernet, and the gas intelligent scheduling system picture 5 is connected with the Python model computer 3 through the industrial Ethernet.
The MYSQL database management system 1 is a relational database management system of open source codes, and the MYSQL database management system 1 uses the most common database management language-structured query language to perform database management, and comprises a gas acquisition data table, a gas system parameter data table and a gas prediction data table.
The PI real-time information system 2 comprises a PI interface machine and a PI server, wherein the PI server adopts an HP LH6000 server, the PI server is connected with a backbone network of a company, and the PI interface machine and the PI server are divided into a VLAN.
The Python model computer 3 adopts Python language, and the model programmed by Python language includes: calculating the current cabinet volume trend, adjusting and calculating the thermoelectric capacity of the safety cabinet, calculating the cabinet volume trend after verifying thermoelectric adjustment and calculating the shortest gas supply time of the gas cabinet.
The converter primary control system 4 is provided with a converter rhythm advanced input program, a data interface and a picture, wherein the converter rhythm advanced input program comprises converter production state, production interval, production state, coal gas recovery quantity, tilting and oxygen blowing quantity advanced input, the recovery and interval input time is monitored and monitored through energy and steelmaking intelligent point inspection, and if the set time and the actual deviation are more than 5 minutes, the system automatically sends out a micro-message group prompt.
The gas intelligent dispatching system picture 5 is arranged in a steel-making dispatching room, a converter gas cabinet, a gas dispatching duty room and a thermoelectric control room;
the gas intelligent scheduling system picture 5 comprises converter gas information, gas user use information and blast furnace gas information; the converter gas information comprises 5 ten thousand cabinet volume, converter rhythm information and converter gas recovery; the gas user use information comprises a gas tank capacity 2-hour prediction curve and communication state display of each system; the blast furnace gas cabinet information comprises 10 ten thousand of cabinet volume, blast furnace gas pressure and flow, thermoelectric and steel rolling gas consumption and diffusing tower flow;
the gas intelligent dispatching system picture 5 uses DELPHI programming and is provided with a voice prompt structure which comprises thermoelectric adjustment quantity voice prompt and gas cabinet volume high-low voice prompt; and (3) prompting of converter gas overrun adjustment: according to the predicted situation of the future 2 hours, the suggestion of adjusting the thermoelectric consumption is provided for the overrun, and the method currently comprises the following steps: three adjusting models of the cabinet volume exceeding the upper limit, exceeding the lower limit and deviating from the average value; and the picture is provided with a cabinet capacity, a prediction cabinet capacity alarm and each flow fault alarm.
Examples
The UPS system 7 is finally selected from Shante company C1-3KVA, has high reliability and uninterrupted power supply, and ensures the continuity of power. The digital control is adopted, various performance indexes are excellent, and the field use effect is good.
1. The converter rhythm information including normal rhythm adjustment and the fault influence of the coal gas recovery equipment fed back by the steel-making fan is timely input through the converter primary control system 4, the accuracy of original data is guaranteed, the basis for normal and accurate prediction of the converter coal gas intelligent scheduling system is provided, and the data are sent to the PI real-time information system 2.
A converter rhythm information input picture is integrated in a converter primary control system, and if the blowing time 0 and the interval time 0 in the current state are less than-5, an alarm is given on a blanking picture to remind a user of preventing the model from being predicted wrongly due to non-smelting for a long time such as the operation of replacing a steel tapping hole of a converter. Energy and steelmaking intelligent point inspection monitoring recovery and interval input time, and if the set time and the actual deviation are more than 5 minutes, the system automatically sends out a micro-letter group prompt.
2. Under normal conditions, the PI real-time information system 2 transmits data to the MYSQL database server 1 through an industrial Ethernet, then the Python model computer 3 reads basic information data of gas scheduling in the MYSQL database server 1, internal calculation results are sent to the MYSQL database server 1 through model calculation in the Python model computer 3, and finally a gas acquisition data table, a gas system parameter data table and a gas prediction data table are formed in the MYSQL database server 1. The three reports can be printed out by a printer 6 for field production personnel and technicians to use.
python model calculation program: and calculating a thermoelectric uniform adjustment scheme after predicting that the capacity of the gas tank exceeds an allowable range according to the gas generation amount and the gas consumption amount of the converter by adopting a gas flow balance algorithm. Prediction model algorithm, calculated every 15 seconds
(1) Gas supply time of gas holder = (holder capacity-11000) ÷ total consumed flow
(2) Thermoelectric adjustment calculation conditions:
a. the gas supply time of the gas chamber is less than 15 minutes, and the instantaneous gas recovery quantity in front of the gas chamber is less than 10000;
b. the gas supply time of the gas chamber is less than 3 minutes, and the instantaneous gas recovery quantity in front of the gas chamber is more than 10000;
(3) the thermoelectric adjustment calculation is divided into three cases:
a. predicting that the cabinet volume is larger than the maximum cabinet volume within 2 hours: and if the cabinet capacity is larger than the maximum cabinet capacity, obtaining the excess capacity of the cabinet, dividing the time of reaching the maximum cabinet capacity by the current time, calculating the usage amount of the thermoelectric heating, and if the current usage amount of the thermoelectric heating is larger than the maximum design flow, performing a diffusion alarm. (adjusting the recovery calorific value of the converter gas, increasing the recovery calorific value set value)
b. Predicting that the cabinet volume is smaller than the minimum cabinet volume within 2 hours: and if the cabinet volume is smaller than the minimum cabinet volume, obtaining the gas volume of which the cabinet volume reaches the common lower limit, and dividing the gas volume by the time of reaching the maximum cabinet volume at present to calculate the thermoelectric reduction use amount.
c. Predicting the cabinet content mean shift adjustment within 2 hours: and if the average value of the tank volume is operated in a high area or a low area within 2 hours, adjusting the thermoelectric usage amount according to the program setting, and controlling the gas tank to operate in a common range.
3. The DELPHI language is used for writing a picture program, the picture is divided into converter gas information, gas user use information and blast furnace gas information, the data of the information is obtained from the model calculation result of a Python model computer 3, and the converter gas information comprises the following components: 5 ten thousand cabinets, rhythm information of the converter and coal gas recovery of the converter; the gas user use information comprises: a 2-hour prediction curve of the gas tank capacity and the communication state display of each system (green is normal, and red is alarm); the blast furnace gas information includes: 10 ten thousand of cabinet volume, blast furnace gas pressure and flow, thermoelectric and steel rolling gas consumption and diffusing tower flow.
When the method is used, the usage amount is calculated according to the model to be adjusted, the gas dispatching is in charge of supervision, the process parameter exceeding the standard can send alarm information, the gas dispatching manual balance gas is gradually changed into a computer model dispatching gas and manual monitoring mode, and the accuracy and the efficiency are improved. The real-time calculation reaches balance, the safe cabinet capacity of the gas cabinet is ensured, the gas consumption of the thermoelectric converter is stably adjusted to provide generated energy, and the phenomenon that the thermoelectric gas greatly rises and falls when manual adjustment is not timely is eliminated.
Claims (6)
1. The utility model provides a converter coal gas intelligence dispatch system which characterized in that: the system comprises a MYSQL database management system (1), a PI real-time information system (2), a Python model computer (3), a converter primary control system (4), a gas intelligent scheduling system picture (5), a printer (6) and a UPS system (7), wherein the UPS system (7) is connected with the MYSQL database management system (1) through a power cable, the printer (6) is connected with the MYSQL database server (1) through a USB cable, the Python model computer (3) is connected with the MYSQL database server (1) through an industrial Ethernet, the PI real-time information system (2) is connected with the MYSQL database server (1) through the industrial Ethernet, the converter primary control system (4) is connected with the PI real-time information system (2) through the industrial Ethernet, and the gas intelligent scheduling system picture (5) is connected with the Python model computer (3) through the industrial Ethernet.
2. The intelligent converter gas dispatching system of claim 1, wherein: the MYSQL database management system (1) is a relational database management system of open source codes, and the MYSQL database management system (1) uses the most common database management language-structured query language to perform database management, and comprises a gas acquisition data table, a gas system parameter data table and a gas prediction data table.
3. The intelligent converter gas dispatching system of claim 1, wherein: the PI real-time information system (2) comprises a PI interface machine and a PI server, wherein the PI server adopts an HP LH6000 server, is connected with a backbone network of a company, and is divided into a VLAN.
4. The intelligent converter gas dispatching system of claim 1, wherein: the Python model computer (3) adopts Python language, and the model programmed by the Python language comprises: calculating the current cabinet volume trend, adjusting and calculating the thermoelectric capacity of the safety cabinet, calculating the cabinet volume trend after verifying thermoelectric adjustment and calculating the shortest gas supply time of the gas cabinet.
5. The intelligent converter gas dispatching system of claim 1, wherein: the converter primary control system (4) is provided with a converter rhythm advanced input program, a data interface and a picture, the converter rhythm advanced input program comprises converter production state, production interval, production state, coal gas recovery quantity, tilting and oxygen blowing quantity advanced input, the recovery and interval input time is monitored and monitored through energy and steelmaking intelligent point inspection, and if the set time and the actual deviation are more than 5 minutes, the system automatically sends out a micro-letter group prompt.
6. The intelligent converter gas dispatching system of claim 1, wherein: the gas intelligent scheduling system picture (5) is arranged in a steel-making scheduling room, a converter gas cabinet, a gas scheduling duty room and a thermoelectric control room;
the gas intelligent scheduling system picture (5) comprises converter gas information, gas user use information and blast furnace gas information; the converter gas information comprises 5 ten thousand cabinet volume, converter rhythm information and converter gas recovery; the gas user use information comprises a gas tank capacity 2-hour prediction curve and communication state display of each system; the blast furnace gas cabinet information comprises 10 ten thousand of cabinet volume, blast furnace gas pressure and flow, thermoelectric and steel rolling gas consumption and diffusing tower flow;
the gas intelligent dispatching system picture (5) is programmed by DELPHI and is provided with a voice prompt structure which comprises a thermoelectric adjustment amount voice prompt and a gas cabinet volume high-low voice prompt; and (3) prompting of converter gas overrun adjustment: according to the predicted situation of the future 2 hours, the suggestion of adjusting the thermoelectric consumption is provided for the overrun, and the method currently comprises the following steps: three adjusting models of the cabinet volume exceeding the upper limit, exceeding the lower limit and deviating from the average value; and the picture is provided with a cabinet capacity, a prediction cabinet capacity alarm and each flow fault alarm.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113652518A (en) * | 2021-07-29 | 2021-11-16 | 北京首钢股份有限公司 | Converter and prediction method and prediction system for gas reserves of converter gas holder of converter |
| CN115099510A (en) * | 2022-07-06 | 2022-09-23 | 山东钢铁集团永锋临港有限公司 | Converter gas prediction balance scheduling method |
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| CN110231844A (en) * | 2019-07-17 | 2019-09-13 | 中冶赛迪技术研究中心有限公司 | Control the method and system of various kinds of coal gas mixed thermal value, pressure and sulfur content |
| CN110650137A (en) * | 2019-09-23 | 2020-01-03 | 煤炭科学技术研究院有限公司 | Coal mine network abnormal behavior early warning method, system, equipment and readable storage medium |
| CN112102111A (en) * | 2020-09-27 | 2020-12-18 | 华电福新广州能源有限公司 | Intelligent processing system for power plant data |
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| CN113652518A (en) * | 2021-07-29 | 2021-11-16 | 北京首钢股份有限公司 | Converter and prediction method and prediction system for gas reserves of converter gas holder of converter |
| CN113652518B (en) * | 2021-07-29 | 2023-01-06 | 北京首钢股份有限公司 | Converter and prediction method and prediction system for gas reserves of converter gas holder of converter |
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Application publication date: 20210716 |