CN112251555A - Slag crust falling degree analysis method, terminal equipment and storage medium - Google Patents
Slag crust falling degree analysis method, terminal equipment and storage medium Download PDFInfo
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Abstract
The invention relates to a slag crust shedding degree analysis method, terminal equipment and a storage medium, wherein the method comprises the following steps: s1: collecting thermal state parameter values representing the state of the blast furnace within a period of time, and performing statistical analysis on all the collected thermal state parameter values to obtain the average value and the variance of all the thermal state parameter values so as to determine the normal working state range of the thermal state parameter values; s2: collecting thermal state parameter values in real time, judging whether the slag crust falls off or not according to the relation between the thermal state parameter values and the normal working state range, and recording the position and time of the slag crust falling off corresponding to the current thermal state parameter values when the slag crust falls off; s3: and setting a judgment period, determining the falling positions and the falling quantity of all the slag crust in each judgment period according to the recorded falling positions and the recorded falling time of the slag crust, and further judging the falling degree of the slag crust. The invention can quickly and conveniently analyze the falling condition of the slag crust of the blast furnace, can also carry out historical inquiry at any time and provides help for the production and operation of the blast furnace.
Description
Technical Field
The invention relates to the field of blast furnace ironmaking, in particular to a slag crust shedding degree analysis method, terminal equipment and a storage medium.
Background
The blast furnace slag crust is a protective layer of blast furnace refractory, and has important influence on the long service life and stable operation of the blast furnace. When the slag crust drops, the temperature of the cooling wall is higher, the service life of the refractory material is influenced, and when the slag crust drops due to over thickness, the furnace can be cooled, and the normal production of the blast furnace is influenced. Therefore, the condition of the falling of the blast furnace slag crust needs to be mastered so as to take corresponding measures in time and ensure the long-term stable operation of the blast furnace.
Disclosure of Invention
In order to solve the above problems, the present invention provides a slag crust shedding degree analysis method, a terminal device and a storage medium.
The specific scheme is as follows:
a slag crust shedding degree analysis method comprises the following steps:
s1: collecting thermal state parameter values representing the state of the blast furnace within a period of time, and performing statistical analysis on all the collected thermal state parameter values to obtain the average value and the variance of all the thermal state parameter values so as to determine the normal working state range of the thermal state parameter values;
s2: collecting thermal state parameter values in real time, judging whether the slag crust falls off or not according to the relation between the thermal state parameter values and the normal working state range, and recording the position and time of the slag crust falling off corresponding to the current thermal state parameter values when the slag crust falls off;
s3: and setting a judgment period, determining the falling positions and the falling quantity of all the slag crust in each judgment period according to the recorded falling positions and the recorded falling time of the slag crust, and further judging the falling degree of the slag crust.
Further, the thermal state parameter value is a cooling wall temperature.
Further, in step S2, a determination period is set, all thermal state parameter values in one determination period collected in real time are averaged, and the averaged average value is used as a thermal state parameter value for determining the relationship with the normal operating state range.
Further, the method for determining the occurrence of the desquamation of the slag crust in the step S2 is as follows: and judging whether the thermal state parameter value is higher than the upper limit value of the normal working state range or not and the difference value between the thermal state parameter value and the upper limit value is larger than the upper limit threshold value, and if so, judging that the slag crust falls off.
Further, the upper threshold value is 30-50 ℃.
Further, the method for judging the falling degree of the slag crust comprises the following steps: and when the total quantity of the falling slag crust in the judging period is larger than the threshold value of the total quantity, judging that the falling degree of the slag crust is the phenomenon of falling slag crust caused by overlarge integral edge airflow.
Further, the method for judging the falling degree of the slag crust comprises the following steps: and when the falling quantity of the slag crust in the peripheral rated range of the falling position of the slag crust at a certain position in the judging period is larger than the peripheral quantity threshold value, judging that the falling degree of the slag crust is the slag crust falling phenomenon caused by the falling position of the slag crust at the position.
A terminal device for analyzing the desquamation degree of slag crust comprises a processor, a memory and a computer program which is stored in the memory and can run on the processor, wherein the processor executes the computer program to realize the steps of the method of the embodiment of the invention.
A computer-readable storage medium, in which a computer program is stored, which, when being executed by a processor, carries out the steps of the method as described above for an embodiment of the invention.
According to the technical scheme, the parameter values representing the internal thermal state of the blast furnace are analyzed in real time, the falling condition of the slag crust at each section of the blast furnace is rapidly analyzed, and meanwhile, the falling degree of the slag crust is judged according to the falling position information of the slag crust, so that a basis is provided for further operation of the blast furnace.
Drawings
Fig. 1 is a flowchart illustrating a first embodiment of the present invention.
Detailed Description
To further illustrate the various embodiments, the invention provides the accompanying drawings. The accompanying drawings, which are incorporated in and constitute a part of this disclosure, illustrate embodiments of the invention and, together with the description, serve to explain the principles of the embodiments. Those skilled in the art will appreciate still other possible embodiments and advantages of the present invention with reference to these figures.
The invention will now be further described with reference to the accompanying drawings and detailed description.
The first embodiment is as follows:
the embodiment of the invention provides a slag crust falling degree analysis method, as shown in figure 1, the method comprises the following steps:
s1: and collecting thermal state parameter values representing the state of the blast furnace within a period of time, and performing statistical analysis on all the collected thermal state parameter values to obtain the average value and the variance of all the thermal state parameter values, thereby determining the normal working state range of the thermal state parameter values.
The thermal state parameter values comprise the temperature of the cooling wall, the temperature difference of cooling water, the thermal load of the cooling wall and the like, in the embodiment, the temperature of the cooling wall is preferably selected as the thermal state parameter value, and after the average value and the variance of the temperature of the cooling wall are determined through statistical analysis, the normal working state range of the temperature of the cooling wall is determined to be 50-100 ℃.
S2: and acquiring the thermal state parameter value in real time, judging whether the slag crust falls off or not according to the relation between the thermal state parameter value and the normal working state range, and recording the position and time of the slag crust falling off corresponding to the current thermal state parameter value when the slag crust falls off.
Since the variation speed of the thermal state parameter value is fast, and the thermal state parameter value at a single moment may not be accurately judged, in this embodiment, a judgment cycle is set, all the thermal state parameter values in the judgment cycle collected in real time are averaged, and the averaged average value is used as the thermal state parameter value for judging the relationship with the normal working state range. If the judgment period is set to be 5 minutes, all the thermal state parameter values of 5 minutes acquired in real time are averaged. The accuracy of judgment can be improved through the averaging processing.
The method for judging whether the slag crust falls off or not according to the relation between the thermal state parameter value and the normal working state range comprises the following steps: and judging whether the thermal state parameter value is higher than the upper limit value of the normal working state range or not and the difference value between the thermal state parameter value and the upper limit value is larger than the upper limit threshold value, and if so, judging that the slag crust falls off. The upper threshold value set in this embodiment should satisfy the range of 30 to 50 ℃.
S3: and setting a judgment period, determining the falling positions and the falling quantity of all the slag crust in each judgment period according to the recorded falling positions and the recorded falling time of the slag crust, and further judging the falling degree of the slag crust.
The method for judging the falling degree of the slag crust comprises the following steps:
and when the total quantity of the falling slag crust in the judging period is larger than the threshold value of the total quantity, judging that the falling degree of the slag crust is a serious slag crust falling phenomenon caused by overlarge integral edge airflow.
And when the falling quantity of the slag crust in the peripheral rated range of the falling position of the slag crust at a certain position in the judging period is larger than the peripheral quantity threshold value, judging that the falling degree of the slag crust is the slag crust falling phenomenon caused by the falling position of the slag crust at the position.
The total number threshold and the surrounding number threshold can be set by one skilled in the art based on experience and experimental data, and are not limited herein.
In this embodiment, the determination period is set to be one day, and those skilled in the art can modify and set the determination period according to actual requirements, which is not limited herein.
The method of the embodiment of the invention can quickly and conveniently analyze the current falling condition of the slag crust of the blast furnace, can also carry out historical inquiry at any time and provides help for the production and operation of the blast furnace.
Example two:
the invention also provides a terminal device for analyzing the desquamation degree of slag crust, which comprises a memory, a processor and a computer program which is stored in the memory and can run on the processor, wherein the processor executes the computer program to realize the steps in the method embodiment of the first embodiment of the invention.
Further, as an executable scheme, the slag crust falling degree analysis terminal device may be a desktop computer, a notebook computer, a palm computer, a cloud server and other computing devices. The slag crust falling degree analysis terminal equipment can comprise, but is not limited to, a processor and a memory. It is understood by those skilled in the art that the above-mentioned composition structure of the slag crust breaking-off degree analysis terminal device is only an example of the slag crust breaking-off degree analysis terminal device, and does not constitute a limitation on the slag crust breaking-off degree analysis terminal device, and may include more or less components than the above, or combine some components, or different components, for example, the slag crust breaking-off degree analysis terminal device may further include an input/output device, a network access device, a bus, and the like, which is not limited in this embodiment of the present invention.
Further, as an executable solution, the Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, a discrete hardware component, and the like. The general processor can be a microprocessor or the processor can be any conventional processor and the like, the processor is a control center of the slag crust falling degree analysis terminal device, and various interfaces and lines are utilized to connect various parts of the whole slag crust falling degree analysis terminal device.
The memory can be used for storing the computer program and/or the module, and the processor realizes various functions of the slag crust shedding degree analysis terminal equipment by running or executing the computer program and/or the module stored in the memory and calling the data stored in the memory. The memory can mainly comprise a program storage area and a data storage area, wherein the program storage area can store an operating system and an application program required by at least one function; the storage data area may store data created according to the use of the mobile phone, and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
The invention also provides a computer-readable storage medium, in which a computer program is stored, which, when being executed by a processor, carries out the steps of the above-mentioned method of an embodiment of the invention.
The integrated module/unit of the slag crust falling degree analysis terminal device can be stored in a computer readable storage medium if the module/unit is realized in the form of a software functional unit and is sold or used as an independent product. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), software distribution medium, and the like.
While the invention has been particularly shown and described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (9)
1. A slag crust shedding degree analysis method is characterized by comprising the following steps:
s1: collecting thermal state parameter values representing the state of the blast furnace within a period of time, and performing statistical analysis on all the collected thermal state parameter values to obtain the average value and the variance of all the thermal state parameter values so as to determine the normal working state range of the thermal state parameter values;
s2: collecting thermal state parameter values in real time, judging whether the slag crust falls off or not according to the relation between the thermal state parameter values and the normal working state range, and recording the position and time of the slag crust falling off corresponding to the current thermal state parameter values when the slag crust falls off;
s3: and setting a judgment period, determining the falling positions and the falling quantity of all the slag crust in each judgment period according to the recorded falling positions and the recorded falling time of the slag crust, and further judging the falling degree of the slag crust.
2. The method for analyzing the degree of peel peeling according to claim 1, wherein: the thermal state parameter value is the cooling wall temperature.
3. The method for analyzing the degree of peel peeling according to claim 1, wherein: in step S2, a determination period is set, all thermal state parameter values within one determination period collected in real time are averaged, and the average value after the averaging is used as a thermal state parameter value for determining the relationship with the normal operating state range.
4. The method for analyzing the degree of peel peeling according to claim 1, wherein: the method for judging the occurrence of the desquamation of the slag crust in the step S2 comprises the following steps: and judging whether the thermal state parameter value is higher than the upper limit value of the normal working state range or not and the difference value between the thermal state parameter value and the upper limit value is larger than the upper limit threshold value, and if so, judging that the slag crust falls off.
5. The method for analyzing the degree of peel peeling according to claim 4, wherein: the upper threshold value is 30-50 ℃.
6. The method for analyzing the degree of peel peeling according to claim 1, wherein: the method for judging the falling degree of the slag crust comprises the following steps: and when the total quantity of the falling slag crust in the judging period is larger than the threshold value of the total quantity, judging that the falling degree of the slag crust is the phenomenon of falling slag crust caused by overlarge integral edge airflow.
7. The method for analyzing the degree of peel peeling according to claim 1, wherein: the method for judging the falling degree of the slag crust comprises the following steps: and when the falling quantity of the slag crust in the peripheral rated range of the falling position of the slag crust at a certain position in the judging period is larger than the peripheral quantity threshold value, judging that the falling degree of the slag crust is the slag crust falling phenomenon caused by the falling position of the slag crust at the position.
8. The utility model provides a cinder degree analysis terminal equipment that drops which characterized in that: comprising a processor, a memory and a computer program stored in said memory and running on said processor, said processor implementing the steps of the method according to any one of claims 1 to 7 when executing said computer program.
9. A computer-readable storage medium storing a computer program, characterized in that: the computer program when executed by a processor implementing the steps of the method as claimed in any one of claims 1 to 7.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113987008A (en) * | 2021-10-12 | 2022-01-28 | 中冶南方工程技术有限公司 | Blast furnace slag scale falling judgment method, terminal equipment and storage medium |
| CN113987007A (en) * | 2021-10-12 | 2022-01-28 | 中冶南方工程技术有限公司 | Blast furnace slag skin falling and merging method, terminal equipment and storage medium |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH051313A (en) * | 1991-06-25 | 1993-01-08 | Nkk Corp | Device for observing stuck material to furnace wall in blast furnace |
| CN101881955A (en) * | 2009-05-06 | 2010-11-10 | 鞍钢股份有限公司 | Method for evaluating conditions of blast furnace |
| JP2012219352A (en) * | 2011-04-12 | 2012-11-12 | Nippon Steel Corp | Method for evaluating deposit on furnace wall and method for operating blast furnace |
| CN103439999A (en) * | 2013-08-23 | 2013-12-11 | 武汉钢铁(集团)公司 | Method for controlling abnormal furnace temperature of blast furnace according to temperature changes of cooling wall |
| CN104404187A (en) * | 2014-11-24 | 2015-03-11 | 中冶赛迪工程技术股份有限公司 | Blast furnace brickwork slag shell thickness monitoring system and method |
| CN107622154A (en) * | 2017-09-06 | 2018-01-23 | 武汉钢铁有限公司 | The determination method of blast furnace heat load region cooling wall heat flow rate per unit area and thickness of the slag crust |
| CN111705174A (en) * | 2020-06-28 | 2020-09-25 | 武汉钢铁有限公司 | Method for detecting blast furnace wall junction thickness |
-
2020
- 2020-10-23 CN CN202011146896.6A patent/CN112251555A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH051313A (en) * | 1991-06-25 | 1993-01-08 | Nkk Corp | Device for observing stuck material to furnace wall in blast furnace |
| CN101881955A (en) * | 2009-05-06 | 2010-11-10 | 鞍钢股份有限公司 | Method for evaluating conditions of blast furnace |
| JP2012219352A (en) * | 2011-04-12 | 2012-11-12 | Nippon Steel Corp | Method for evaluating deposit on furnace wall and method for operating blast furnace |
| CN103439999A (en) * | 2013-08-23 | 2013-12-11 | 武汉钢铁(集团)公司 | Method for controlling abnormal furnace temperature of blast furnace according to temperature changes of cooling wall |
| CN104404187A (en) * | 2014-11-24 | 2015-03-11 | 中冶赛迪工程技术股份有限公司 | Blast furnace brickwork slag shell thickness monitoring system and method |
| CN107622154A (en) * | 2017-09-06 | 2018-01-23 | 武汉钢铁有限公司 | The determination method of blast furnace heat load region cooling wall heat flow rate per unit area and thickness of the slag crust |
| CN111705174A (en) * | 2020-06-28 | 2020-09-25 | 武汉钢铁有限公司 | Method for detecting blast furnace wall junction thickness |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113987008A (en) * | 2021-10-12 | 2022-01-28 | 中冶南方工程技术有限公司 | Blast furnace slag scale falling judgment method, terminal equipment and storage medium |
| CN113987007A (en) * | 2021-10-12 | 2022-01-28 | 中冶南方工程技术有限公司 | Blast furnace slag skin falling and merging method, terminal equipment and storage medium |
| WO2023060663A1 (en) * | 2021-10-12 | 2023-04-20 | 中冶南方工程技术有限公司 | Blast furnace slag crust shedding determination method and terminal device, and storage medium |
| CN113987008B (en) * | 2021-10-12 | 2023-11-21 | 中冶南方工程技术有限公司 | Blast furnace slag peel falling judgment method, terminal equipment and storage medium |
| CN113987007B (en) * | 2021-10-12 | 2023-11-21 | 中冶南方工程技术有限公司 | Blast furnace slag peel falling and merging method, terminal equipment and storage medium |
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