CN113564293A - Real-time state monitoring method for blast furnace dust removal system - Google Patents
Real-time state monitoring method for blast furnace dust removal system Download PDFInfo
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- CN113564293A CN113564293A CN202110753897.5A CN202110753897A CN113564293A CN 113564293 A CN113564293 A CN 113564293A CN 202110753897 A CN202110753897 A CN 202110753897A CN 113564293 A CN113564293 A CN 113564293A
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- C—CHEMISTRY; METALLURGY
- C21—METALLURGY OF IRON
- C21B—MANUFACTURE OF IRON OR STEEL
- C21B7/00—Blast furnaces
- C21B7/24—Test rods or other checking devices
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- C—CHEMISTRY; METALLURGY
- C21—METALLURGY OF IRON
- C21B—MANUFACTURE OF IRON OR STEEL
- C21B5/00—Making pig-iron in the blast furnace
- C21B5/006—Automatically controlling the process
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- C—CHEMISTRY; METALLURGY
- C21—METALLURGY OF IRON
- C21B—MANUFACTURE OF IRON OR STEEL
- C21B7/00—Blast furnaces
- C21B7/22—Dust arresters
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- Chemical & Material Sciences (AREA)
- Manufacturing & Machinery (AREA)
- Materials Engineering (AREA)
- Metallurgy (AREA)
- Organic Chemistry (AREA)
- Testing And Monitoring For Control Systems (AREA)
Abstract
A real-time state monitoring method for a blast furnace dust removal system belongs to the field of iron making, and is characterized in that a data collector is installed in a CMES station room of a dust removal station, and the data collector adopts a TGH-YX type smoke emission continuous monitoring system to collect field equipment data of whether on-line, dust content and oxygen content exist; converting the equipment data into digital signals and classifying according to the dust removal area, the acquisition time, the data type and the online state of the equipment; and sending the classified data to a graphical interface for display, and storing the database. The invention monitors the real-time state of the blast furnace dust removal system through software, gives out abnormal early warning and alarms by ringing, and solves the problems that the abnormal operation of the blast furnace cannot be found for a long time, so that serious environmental protection accidents are caused, and the normal production of the blast furnace is seriously influenced.
Description
Technical Field
The technical field of blast furnace ironmaking environmental protection dust removal.
Background
The environment-friendly dust removal of the blast furnace is a set of auxiliary equipment for blast furnace iron making, and has the effects that the power generated by a fan is utilized to send dust-containing gas into dust removal equipment through an air suction pipeline for purification, the gas which is purified to reach the standard is discharged from an exhaust flue, and the recovered dust is pulled away for secondary utilization through a dust absorption vehicle after entering a storage ash bin.
When the dust removal system is used normally, the purified gas reaching the standard is discharged from the exhaust flue, and the atmospheric environment is not affected. However, when the dust removing system fails, the dust-containing gas cannot be purified thoroughly and does not reach the standard, and the gas which does not reach the standard is discharged from the exhaust flue, so that the atmospheric environment is influenced, and environmental protection accidents are caused. Therefore, the operator is required to find the change of the dust content in time,
the dust-containing data is updated every minute, and manual monitoring is difficult.
The dust removal system has high dust content, can cause serious environmental protection accidents for a long time and seriously influences the normal production of the blast furnace.
Disclosure of Invention
In order to save labor cost and improve working efficiency, the invention provides a real-time state monitoring method for a blast furnace dust removal system.
The technical scheme of the invention is as follows: a real-time state monitoring method for a blast furnace dust removal system is characterized in that a data collector is installed in a CMES station room of a dust removal station, and the data collector adopts a TGH-YX type smoke emission continuous monitoring system, and the method comprises any one of the following contents:
(1) and (3) monitoring the real-time state:
s1: the data acquisition unit acquires field equipment data including whether the field equipment data is online, dust content and oxygen content in real time;
s2: converting the device data collected in the step S1 into readable character strings;
s3: screening and classifying the readable character strings converted by the S2, wherein the classified contents comprise time, equipment state, dust content, oxygen content, sulfur dioxide, waste content and nitrogen oxide content;
s4: sending the classified data to a graphical interface for display and storing the data in a database;
s5: receiving and judging the data of S3, if the data is abnormal, sending an abnormal signal and sending a ring alarm, and if the data is normal, not acting;
the judgment standard is as follows: the floating point number of the dust content data is less than 8.0 and is normal, and the floating point number is more than or equal to 8.0 and is abnormal; the floating point number of the oxygen content data is less than 20.0 and is normal, and the floating point number is more than or equal to 20.0 and is abnormal;
the sulfur dioxide data floating point number is less than 30.0 and is normal, and the sulfur dioxide data floating point number is more than or equal to 30.0 and is abnormal; the floating point number of the nitrogen oxide data is less than 45.0, which indicates normal, and 45.0 or more indicates abnormal.
(2) 5 minute real time curve:
s1: the data acquisition unit acquires field equipment data including whether the field equipment data is online, dust content and oxygen content in real time;
s2: converting field device data into readable character strings, and screening and classifying the readable character strings, wherein the classification contents comprise time, device states, dust content, oxygen content, sulfur dioxide, waste content and nitrogen oxide content;
s3: acquiring local time, and classifying the acquired data to make timestamp data;
s4: making a curve by using local time and timestamp data, namely a curve taking time as an abscissa and data values as an ordinate;
s5: and sending the prepared curve data to a graphical interface and displaying.
(3) 8 hours historical data: acquiring field equipment data including whether online, dust content and oxygen content are available or not within 8 hours; converting the equipment data into digital signals and classifying according to the dust removal area, the acquisition time, the data type and the online state of the equipment; and sending the classified data to a graphical interface for display, and storing the database.
The invention mainly displays the local time and the main parameters of the dust removal system by making pictures. Setting an operation key, wherein the operation part comprises three keys: starting an early warning key: after clicking, the early warning alarm is started to detect every 3s, and the word of 'early warning start' is displayed on the display window to start early warning. Program stop button: clicking back exits the software. Alarm silencing key: after clicking, alarming and silencing are carried out, and early warning is automatically quitted. And displaying a stop alarm word on the display window.
The constructed picture is mainly used for displaying 8-hour historical data in real time, so that the running state of the equipment can be conveniently controlled.
The invention constructs a picture to display a real-time curve of 5 minutes, so that the operation trend of the equipment can be controlled conveniently.
The invention adopts system log (history data storage) to store system operation data.
The invention can monitor the real-time state of the blast furnace dust removal system, perform abnormal early warning and send out ringing alarm in production application; the invention does not need a specially-assigned person to monitor the dust removal operation state, thereby improving the working efficiency;
the invention can find the abnormality of the dust removing system in advance and judge and process in advance, thereby avoiding the occurrence of environmental protection accidents.
Detailed Description
Example 1: a real-time state monitoring method for a blast furnace dust removal system is characterized in that a data collector is installed in a CMES station room of a dust removal station, and the data collector adopts a TGH-YX type smoke emission continuous monitoring system.
S1: the data acquisition unit acquires field equipment data including whether the field equipment data is online, dust content and oxygen content in real time;
the software adopts a distributed structure and is multithreaded and concurrent, the data of the dust removal equipment for the on-site blast furnace is connected and distributed in an intranet through a communication equipment signal, and the intranet data is in communication connection with the control software through the software.
The data acquisition unit acquires the field equipment data and converts the field equipment data into digital signals to release the intranet, and the control software acquires the data on the data acquisition unit every 30s for software analysis.
S2: converting the device data collected in the step S1 into readable character strings;
the control software acquires data on the data acquisition unit, and the software finds and analyzes the acquired data through the regular expression.
S3: screening and classifying the readable character strings converted by the S2; the classified content comprises time, equipment state, dust content, oxygen content, sulfur dioxide, waste content and nitrogen oxide content;
s4: sending and displaying the classified content to a graphical interface, and storing a database;
and multithreading inside the software establishes 12 communication interfaces and respectively sends the obtained classification data to corresponding positions on the graphical interface to finish displaying. And save the data locally for historical access.
S5: receiving the data of S3 and judging, if the data is abnormal, sending an abnormal signal, if the data is normal, not doing action;
the judgment standard is as follows:
the equipment state is normal on-line and abnormal off-line,
the floating point number of the dust content data is less than 8.0 and is normal, and the floating point number is more than or equal to 8.0 and is abnormal,
the floating point number of the oxygen content data is less than 20.0 and is normal, and the floating point number is more than or equal to 20.0 and is abnormal,
the sulfur dioxide data floating point number is less than 30.0 and is normal, and the sulfur dioxide data floating point number is more than or equal to 30.0 and is abnormal;
the floating point number of the nitrogen oxide data is less than 45.0, which indicates normal, and 45.0 or more indicates abnormal.
The number of the dust removal stations is 3, 12 groups of communication data are provided, software adopts distributed multithreading concurrency and data series connection, data analysis and judgment are carried out every 30s, if one data is abnormal, an abnormal alarm signal is triggered and sent to an alarm module.
S6: receiving the abnormal signal of S5 and sending out alarm.
After the software receives the S5 alarm information through internal communication S6, the software sends a ringing instruction, and the terminal alarm device is controlled to send out ringing alarm. After finding the alarm, the operator can use the software function key to 'ring and silence', and control the terminal alarm device to eliminate the ring and alarm.
Example 2: a real-time state monitoring method for a blast furnace dust removal system is characterized in that a data collector is installed in a CMES station room of a dust removal station, and the data collector adopts a TGH-YX type smoke emission continuous monitoring system.
S1: real-time collection of field device data by software
The data collector is responsible for collecting the dust content of the flue gas and converting the dust content of the flue gas into a digital signal to be issued to the intranet, and the control software acquires data on the data collector every 30s and stores the data in the folder for software analysis.
S2: and converting the collected data into readable character strings.
The control software acquires data on the data acquisition unit, and the software finds and analyzes the acquired data by a method of a computer language python library sqlite 3.
S3: screening and classifying the data converted by the S3
The screening and classifying contents comprise time, equipment state, dust content, oxygen content, sulfur dioxide, waste content and nitrogen oxide content.
S4: and acquiring local time, and classifying the acquired data to make timestamp data.
The software acquires local time by a QDateTime method, and acquires timestamp data by a python local library time.
S5: profiling by local time versus timestamp data
The software updates the abscissa every 30s and adds the curve data to the coordinate system.
S6: and sending and displaying the manufactured curve data to a graphical interface to finish displaying.
And the software transmits the established coordinate system to the graphical interface in real time through communication to complete display.
Example 3: a real-time state monitoring method for a blast furnace dust removal system is characterized in that a data collector is installed at a dust removal station, and the data collector adopts a TGH-YX type smoke emission continuous monitoring system.
S1: 8 hours of field device data were collected by software:
the data collector is responsible for collecting the dust content of the smoke and converting the dust content into a digital signal to release the intranet, and the control software acquires the data on the data collector every 3600s for software analysis.
S2: converting the data collected at S1 into readable character strings:
the control software acquires data on the data acquisition unit, and the software finds and analyzes the acquired data through the regular expression.
S3: and (4) screening and classifying the data converted in the S2:
after analyzing the obtained data, the data are classified and sorted according to time, equipment state, dust content, oxygen content, sulfur dioxide, waste content and nitrogen oxide content.
S4: and sending and displaying the classified data to a graphical interface to finish displaying, and storing the database.
And (3) multithreading in the software establishes 24 communication interfaces and respectively sends the obtained S3 data (time, equipment state, dust content, waste content) to corresponding positions on the graphical interface to finish displaying. And save the data locally for historical access.
Claims (1)
1. A real-time state monitoring method for a blast furnace dust removal system is characterized in that a data collector is installed in a CMES station room of a dust removal station, and the data collector adopts a TGH-YX type smoke emission continuous monitoring system, and the method comprises any one of the following contents:
(1) and (3) monitoring the real-time state:
s1: the data acquisition unit acquires field equipment data including whether the field equipment data is online, dust content and oxygen content in real time;
s2: converting the device data collected in the step S1 into readable character strings;
s3: screening and classifying the readable character strings converted by the S2, wherein the classified contents comprise time, equipment state, dust content, oxygen content, sulfur dioxide, waste content and nitrogen oxide content;
s4: sending the classified data to a graphical interface for display and storing the data in a database;
s5: receiving and judging the data of S3, if the data is abnormal, sending an abnormal signal and sending a ring alarm, and if the data is normal, not acting;
the judgment standard is as follows: the floating point number of the dust content data is less than 8.0 and is normal, and the floating point number is more than or equal to 8.0 and is abnormal; the floating point number of the oxygen content data is less than 20.0 and is normal, and the floating point number is more than or equal to 20.0 and is abnormal;
the sulfur dioxide data floating point number is less than 30.0 and is normal, and the sulfur dioxide data floating point number is more than or equal to 30.0 and is abnormal; the floating point number of the nitrogen oxide data is less than 45.0 and is normal, and the floating point number of the nitrogen oxide data is greater than or equal to 45.0 and is abnormal;
(2) 5 minute real time curve:
s1: the data acquisition unit acquires field equipment data including whether the field equipment data is online, dust content and oxygen content in real time;
s2: converting field device data into readable character strings, and screening and classifying the readable character strings, wherein the classification contents comprise time, device states, dust content, oxygen content, sulfur dioxide, waste content and nitrogen oxide content;
s3: acquiring local time, and classifying the acquired data to make timestamp data;
s4: making a curve by using local time and timestamp data, namely a curve taking time as an abscissa and data values as an ordinate;
s5: sending the manufactured curve data to a graphical interface and displaying;
(3) 8 hours historical data: acquiring field equipment data including whether online, dust content and oxygen content are available or not within 8 hours; converting the equipment data into digital signals and classifying according to the dust removal area, the acquisition time, the data type and the online state of the equipment; and sending the classified data to a graphical interface for display, and storing the database.
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| CN202110753897.5A CN113564293A (en) | 2021-07-04 | 2021-07-04 | Real-time state monitoring method for blast furnace dust removal system |
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Citations (2)
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| CN106909698A (en) * | 2015-12-17 | 2017-06-30 | 厦门三维丝环保股份有限公司 | A kind of deduster O＆M diagnosis and the real-time service life management method of filter bag |
| CN110273036A (en) * | 2019-07-31 | 2019-09-24 | 马鞍山钢铁股份有限公司 | A kind of gravity blast furnace dust catcher ash position monitoring alarm device and monitoring alarm method |
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- 2021-07-04 CN CN202110753897.5A patent/CN113564293A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106909698A (en) * | 2015-12-17 | 2017-06-30 | 厦门三维丝环保股份有限公司 | A kind of deduster O＆M diagnosis and the real-time service life management method of filter bag |
| CN110273036A (en) * | 2019-07-31 | 2019-09-24 | 马鞍山钢铁股份有限公司 | A kind of gravity blast furnace dust catcher ash position monitoring alarm device and monitoring alarm method |
Non-Patent Citations (2)
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Application publication date: 20211029 |