CN113987008B - Blast furnace slag peel falling judgment method, terminal equipment and storage medium - Google Patents

Blast furnace slag peel falling judgment method, terminal equipment and storage medium Download PDF

Info

Publication number
CN113987008B
CN113987008B CN202111185984.1A CN202111185984A CN113987008B CN 113987008 B CN113987008 B CN 113987008B CN 202111185984 A CN202111185984 A CN 202111185984A CN 113987008 B CN113987008 B CN 113987008B
Authority
CN
China
Prior art keywords
shedding
temperature data
time
falling
blast furnace
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.)
Active
Application number
CN202111185984.1A
Other languages
Chinese (zh)
Other versions
CN113987008A (en
Inventor
刘书文
高田翔
叶理德
李鹏
吴映江
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Wisdri Engineering and Research Incorporation Ltd
Original Assignee
Wisdri Engineering and Research Incorporation Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Wisdri Engineering and Research Incorporation Ltd filed Critical Wisdri Engineering and Research Incorporation Ltd
Priority to CN202111185984.1A priority Critical patent/CN113987008B/en
Priority to PCT/CN2021/128120 priority patent/WO2023060663A1/en
Publication of CN113987008A publication Critical patent/CN113987008A/en
Application granted granted Critical
Publication of CN113987008B publication Critical patent/CN113987008B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2458Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2462Approximate or statistical queries
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/22Indexing; Data structures therefor; Storage structures
    • G06F16/2282Tablespace storage structures; Management thereof
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2458Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2474Sequence data queries, e.g. querying versioned data
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2458Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2477Temporal data queries
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/04Manufacturing
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02WCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO WASTEWATER TREATMENT OR WASTE MANAGEMENT
    • Y02W30/00Technologies for solid waste management
    • Y02W30/50Reuse, recycling or recovery technologies

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Probability & Statistics with Applications (AREA)
  • Software Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Fuzzy Systems (AREA)
  • Computational Linguistics (AREA)
  • Mathematical Physics (AREA)
  • Business, Economics & Management (AREA)
  • Manufacturing & Machinery (AREA)
  • Health & Medical Sciences (AREA)
  • Economics (AREA)
  • General Health & Medical Sciences (AREA)
  • Human Resources & Organizations (AREA)
  • Marketing (AREA)
  • Primary Health Care (AREA)
  • Strategic Management (AREA)
  • Tourism & Hospitality (AREA)
  • General Business, Economics & Management (AREA)
  • Waste-Gas Treatment And Other Accessory Devices For Furnaces (AREA)
  • Blast Furnaces (AREA)

Abstract

The invention relates to a blast furnace slag peel falling judgment method, terminal equipment and storage medium, wherein the method comprises the following steps: s1: constructing a temperature data table and a drop point information table; s2: collecting temperature data at the cooling wall of the blast furnace in real time and storing the temperature data in a temperature data table; s3: extracting the temperature data in the latest first rated time from the temperature data table for preprocessing; s4: analyzing the preprocessed temperature data, judging whether slag skin is shed, and calculating the shedding starting time, the shedding ending time and the shedding thickness of the secondary slag skin when the slag skin is shed, and storing the shedding starting time, the shedding ending time and the shedding thickness in a shedding point information table; s5: and extracting the data in the second latest rated time from the shedding point information table, and calculating the shedding index in the second rated time. According to the invention, the slag skin falling state of the furnace wall is deduced according to the temperature change of the cooling wall of the blast furnace, a corresponding report is generated according to the analysis result, and the detailed slag skin falling information can be obtained by referring to the report.

Description

Blast furnace slag peel falling judgment method, terminal equipment and storage medium
Technical Field
The invention relates to the technical field of blast furnace ironmaking, in particular to a blast furnace slag peel falling judgment method, terminal equipment and a storage medium.
Background
In the normal production process of the blast furnace, gangue is heated and forms slag slowly due to oxidation, the slag is adhered to a cooling wall with lower temperature at the positions of the furnace belly and the furnace waist, and slag crust is formed on the cooling wall. The thickness of the slag skin is gradually increased along with the continuous adhesion of the slag skin, and when the slag skin reaches a certain thickness, the slag skin can fall off from the cooling wall under the flushing of the gas flow and the molten iron. Slag skin formation and falling off are natural phenomena in the ore reduction process, but frequent slag skin falling off is abnormal, can influence the forward running of the blast furnace, and can lead to the descending of the furnace temperature and frequent furnace conditions when serious.
The slag skin can protect the furnace wall, prevent the brick lining from being corroded, and prevent the temperature in the furnace from losing outwards. When the slag crust falls off, the whole thickness of the furnace wall at the position is thinned, so that the thermal resistance of the cooling wall is reduced, the thermal load is increased, the temperature of the cooling wall is finally increased rapidly, and the thermocouple data value in the cooling wall is increased rapidly. Therefore, it is necessary to judge whether the slag crust is detached in real time.
Disclosure of Invention
In order to solve the problems, the invention provides a blast furnace slag peel falling judgment method, terminal equipment and a storage medium.
The specific scheme is as follows:
a method for judging the falling of blast furnace slag skin comprises the following steps:
s1: constructing a temperature data table and a drop point information table, wherein the temperature data table comprises a time stamp field and a temperature field, and the drop point information table comprises a time stamp field, a drop position field, a drop start time field, a drop end time field, a drop duration field and a drop thickness field;
s2: collecting temperature data at the cooling wall of the blast furnace in real time through a plurality of temperature collecting modules arranged at different positions of the cooling wall of the blast furnace, and storing the temperature data in a temperature data table;
s3: extracting temperature data in the latest first rated time from the temperature data table, preprocessing the temperature data, and removing abnormal data in the temperature data table;
s4: analyzing the preprocessed temperature data, judging whether slag skin is shed, and calculating the shedding starting time, the shedding ending time and the shedding thickness of the secondary slag skin when the slag skin is shed, and storing the shedding starting time, the shedding ending time and the shedding thickness in a shedding point information table;
s5: and extracting the data in the second latest rated time from the shedding point information table, and calculating the shedding index in the second rated time.
Further, the specific process of preprocessing in step S3 includes: setting the temperature data at the current moment as T k The temperature data at the last moment is T k-1 The temperature data at the next moment is T k+1 The minimum temperature threshold is delta 1 The maximum temperature threshold is delta 2 The temperature difference threshold is delta 3 The method comprises the steps of carrying out a first treatment on the surface of the When T is k The value of (2) satisfies any one of the following three conditions, and T is determined k Is invalid data, T is k The value of (2) is updated toThe three conditions are respectively: (1) T (T) k1 、(2)T k2 、(3)|T k -T k-1 |>δ 3 And |T k -T k+1 |>δ 3
Further, the method for judging whether slag skin falling occurs comprises the following steps: setting the temperature data at the current moment as T k The temperature data at the last moment is T k-1 The temperature data at the next moment is T k+1 The temperature difference threshold is DeltaT; when T is satisfied k -T k+1 >ΔT and T k -T k-1 >And when the slag is separated, judging that slag is separated, and setting the k moment as the separation completion moment.
Further, for the temperature data, traversing forward from the falling completion time k in sequence until T is satisfied k-i+1 -T k-i >At DeltaT, the moment k-i is determined as the falling start moment, and i is a positive integer.
Further, the shedding start time and the shedding completion time are determined according to the shedding start time, the shedding completion time and the sampling period.
Further, the calculation formula of the shedding index Z is:
wherein n represents the total number of falling times in the second rated time, j represents the number of falling times, h j The thickness of the slag skin falling off at the j th time is represented by N, the total number of cooling wall blocks is represented by m, the number of the cooling wall blocks is represented by H (m,n) Is an intermediate variable.
Further, S6: and storing the calculated shedding index into a database, and generating a corresponding report file.
The terminal equipment for judging the falling of the blast furnace slag comprises a processor, a memory and a computer program which is stored in the memory and can run on the processor, wherein the steps of the method according to the embodiment of the invention are realized when the processor executes the computer program.
A computer readable storage medium storing a computer program which, when executed by a processor, implements the steps of the method described above for embodiments of the present invention.
According to the technical scheme, the slag skin falling-off condition of the furnace wall is deduced according to the temperature change of the cooling wall of the blast furnace, a corresponding report is generated according to the analysis result, and the detailed slag skin falling-off information can be obtained by consulting the report.
Drawings
Fig. 1 is a flowchart of a first embodiment of the present invention.
Detailed Description
For further illustration of the various embodiments, the invention is provided with the accompanying drawings. The accompanying drawings, which are incorporated in and constitute a part of this disclosure, illustrate embodiments and together with the description, serve to explain the principles of the embodiments. With reference to these matters, one of ordinary skill in the art will understand other possible embodiments and advantages of the present invention.
The invention will now be further described with reference to the drawings and detailed description.
Embodiment one:
the embodiment of the invention provides a method for judging the falling of blast furnace slag skin, which is shown in figure 1 and comprises the following steps:
s1: and constructing a temperature data table and a drop point information table, wherein the temperature data table comprises a time stamp field and a temperature field, and the drop point information table comprises a time stamp field, a drop position field, a drop start time field, a drop end time field, a drop duration field and a drop thickness field.
In this embodiment, the temperature data table and the drop point information table are both stored in a database at the server side.
S2: temperature data at the cooling wall of the blast furnace is acquired in real time through a plurality of temperature acquisition modules arranged at different positions of the cooling wall of the blast furnace, and the temperature data are stored in a temperature data table.
The temperature acquisition module in this embodiment employs a thermocouple.
S3: and extracting the temperature data in the latest first rated time from the temperature data table, preprocessing the temperature data, and removing abnormal data in the temperature data table.
The specific process of pretreatment in this embodiment includes: setting the temperature data at the current moment as T k The temperature data at the last moment is T k-1 The temperature data at the next moment is T k+1 The minimum temperature threshold is delta 1 The maximum temperature threshold is delta 2 The temperature difference threshold is delta 3 The method comprises the steps of carrying out a first treatment on the surface of the When T is k The value of (2) satisfies any one of the following three conditions, and T is determined k Is invalid data, T is k The value of (2) is updated toThe three conditions are respectively: (1) T (T) k1 、(2)T k2 、(3)|T k -T k-1 |>δ 3 And |T k -T k+1 |>δ 3
The first rated time is set to fifteen minutes in this embodiment, and can be set by a person skilled in the art according to the needs, which is not limited herein.
By preprocessing, the influence of abnormal data on subsequent data analysis can be avoided.
S4: and analyzing the preprocessed temperature data to judge whether slag skin is shed, and calculating the shedding starting time, the shedding ending time and the shedding thickness of the secondary slag skin when the slag skin is shed, and storing the shedding starting time, the shedding ending time and the shedding thickness in a shedding point information table.
The method for judging whether slag skin falling occurs in the embodiment comprises the following steps: setting the temperature data at the current moment as T k The temperature data at the last moment is T k-1 The temperature data at the next moment is T k+1 The temperature difference threshold is DeltaT; when T is satisfied k -T k+1 >ΔT and T k -T k-1 >And when the slag is separated, judging that slag is separated, and setting the k moment as the separation completion moment.
For the temperature data, traversing forward from the falling completion time k in sequence until T is satisfied k-i+1 -T k-i >At DeltaT, the moment k-i is determined as the falling start moment, and i is a positive integer.
And determining the shedding starting time and the shedding finishing time according to the shedding starting time k-i, the shedding finishing time k and the sampling period delta t.
The thickness of the falling off is the thickness at the falling off start time minus the thickness at the falling off end time.
S5: and extracting the data in the second latest rated time from the shedding point information table, and calculating the shedding index in the second rated time.
The calculation formula of the shedding index Z in this embodiment is:
wherein n represents the total number of falling times in the second rated time, j represents the number of falling times, h j The thickness of the slag skin falling off at the j th time is represented by N, the total number of cooling wall blocks is represented by m, the number of the cooling wall blocks is represented by H (m,n) Is an intermediate variable.
The second rated time is set to one hour in this embodiment, and can be set by one skilled in the art according to the requirement, and is not limited herein.
Further, the embodiment further includes S6: and storing the calculated shedding index into a database of the server, and generating a corresponding report file.
According to the embodiment of the invention, the slag skin falling-off condition of the furnace wall is deduced according to the temperature change of the cooling wall of the blast furnace, a corresponding report is generated according to the analysis result, and the detailed slag skin falling-off information can be obtained by referring to the report.
Embodiment two:
the invention also provides a blast furnace slag peel drop judging terminal device, which comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the steps in the method embodiment of the first embodiment of the invention are realized when the processor executes the computer program.
Further, as an executable scheme, the blast furnace slag peel drop judging terminal device may be a computing device such as a desktop computer, a notebook computer, a palm computer, a cloud server, and the like. The blast furnace slag-off judging terminal device may include, but is not limited to, a processor and a memory. It will be understood by those skilled in the art that the above-described composition structure of the blast furnace slag-skin-peeling judging terminal device is merely an example of the blast furnace slag-peeling judging terminal device, and does not constitute limitation of the blast furnace slag-peeling judging terminal device, and may include more or less components than those described above, or may combine some components, or different components, for example, the blast furnace slag-peeling judging terminal device may further include an input-output device, a network access device, a bus, and the like, which is not limited by the embodiment of the present invention.
Further, as an implementation, the processor may be a central processing unit (Central Processing Unit, CPU), other general purpose processor, digital signal processor (Digital Signal Processor, DSP), application specific integrated circuit (Application Specific Integrated Circuit, ASIC), field programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, etc. The general processor may be a microprocessor or any conventional processor, etc., and the processor is a control center of the blast furnace slag-off judging terminal device, and is connected with various parts of the whole blast furnace slag-off judging terminal device by various interfaces and lines.
The memory can be used for storing the computer program and/or the module, and the processor can realize various functions of the blast furnace slag-off judging terminal device 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 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, at least one application program required for a function; the storage data area may store data created according to the use of the cellular phone, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, smart Media Card (SMC), secure Digital (SD) Card, flash Card (Flash Card), at least one disk storage device, flash memory device, or other volatile solid-state storage device.
The present invention also provides a computer readable storage medium storing a computer program which when executed by a processor implements the steps of the above-described method of an embodiment of the present invention.
The module/unit integrated with the blast furnace slag-off judging terminal device can be stored in a computer readable storage medium if implemented in the form of a software functional unit and sold or used as an independent product. Based on such understanding, the present invention may implement all or part of the flow of the method of the above embodiment, or may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of each of the method embodiments described above. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a software distribution medium, and so forth.
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 details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.

Claims (6)

1. The method for judging the falling of the blast furnace slag skin is characterized by comprising the following steps of:
s1: constructing a temperature data table and a drop point information table, wherein the temperature data table comprises a time stamp field and a temperature field, and the drop point information table comprises a time stamp field, a drop position field, a drop start time field, a drop end time field, a drop duration field and a drop thickness field;
s2: collecting temperature data at the cooling wall of the blast furnace in real time through a plurality of temperature collecting modules arranged at different positions of the cooling wall of the blast furnace, and storing the temperature data in a temperature data table;
s3: extracting temperature data in the latest first rated time from the temperature data table, preprocessing the temperature data, and removing abnormal data in the temperature data table;
s4: for the pre-treatmentAnalyzing the processed temperature data to judge whether slag skin is shed, and calculating the shedding starting time, the shedding ending time and the shedding thickness of the secondary slag skin when the slag skin is shed, and storing the shedding starting time, the shedding ending time and the shedding thickness in a shedding point information table; the method for judging whether slag skin falls off comprises the following steps: setting the temperature data at the current moment as T k The temperature data at the last moment is T k-1 The temperature data at the next moment is T k+1 The temperature difference threshold is DeltaT; when T is satisfied k -T k+1 >ΔT and T k -T k-1 >When delta T is detected, judging that slag skin is fallen off, and setting k time as the falling completion time; for the temperature data, traversing forward from the falling completion time k in sequence until T is satisfied k-i+1 -T k-i >When the T is the delta T, judging that the k-i moment is the falling start moment, and i is a positive integer;
s5: extracting the data in the second latest rated time from the shedding point information table, and calculating the shedding index in the second rated time; the calculation formula of the shedding index Z is as follows:
wherein n represents the total number of falling times in the second rated time, j represents the number of falling times, h j The thickness of the slag skin falling off at the j th time is represented by N, the total number of cooling wall blocks is represented by m, the number of the cooling wall blocks is represented by H (m,n) Is an intermediate variable.
2. The method for judging the falling off of blast furnace slag according to claim 1, wherein: the specific process of preprocessing in step S3 includes: setting the temperature data at the current moment as T k The temperature data at the last moment is T k-1 The temperature data at the next moment is T k+1 The minimum temperature threshold is delta 1 The maximum temperature threshold is delta 2 The temperature difference threshold is delta 3 The method comprises the steps of carrying out a first treatment on the surface of the When T is k The value of (2) satisfies any one of the following three conditions, and T is determined k Is invalid data, T is k The value of (2) is updated toThe three conditions are respectively: (1) T (T) k1 、(2)T k2 、(3)|T k -T k-1 |>δ 3 And |T k -T k+1 |>δ 3
3. The method for judging the falling off of blast furnace slag according to claim 1, wherein: and determining the shedding starting time and the shedding finishing time according to the shedding starting time, the shedding finishing time and the sampling period.
4. The method for judging the falling off of blast furnace slag according to claim 1, wherein: further comprising S6: and storing the calculated shedding index into a database, and generating a corresponding report file.
5. A terminal equipment is judged to blast furnace slag skin drop, its characterized in that: comprising a processor, a memory and a computer program stored in the memory and running on the processor, which processor, when executing the computer program, carries out the steps of the method according to any one of claims 1 to 4.
6. A computer-readable storage medium storing a computer program, characterized in that: the computer program, when executed by a processor, implements the steps of the method according to any one of claims 1 to 4.
CN202111185984.1A 2021-10-12 2021-10-12 Blast furnace slag peel falling judgment method, terminal equipment and storage medium Active CN113987008B (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN202111185984.1A CN113987008B (en) 2021-10-12 2021-10-12 Blast furnace slag peel falling judgment method, terminal equipment and storage medium
PCT/CN2021/128120 WO2023060663A1 (en) 2021-10-12 2021-11-02 Blast furnace slag crust shedding determination method and terminal device, and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111185984.1A CN113987008B (en) 2021-10-12 2021-10-12 Blast furnace slag peel falling judgment method, terminal equipment and storage medium

Publications (2)

Publication Number Publication Date
CN113987008A CN113987008A (en) 2022-01-28
CN113987008B true CN113987008B (en) 2023-11-21

Family

ID=79738212

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111185984.1A Active CN113987008B (en) 2021-10-12 2021-10-12 Blast furnace slag peel falling judgment method, terminal equipment and storage medium

Country Status (2)

Country Link
CN (1) CN113987008B (en)
WO (1) WO2023060663A1 (en)

Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008105881A (en) * 2006-10-24 2008-05-08 Nippon Steel Corp Method of treating blast furnace slag and apparatus for treating blast furnace slag
KR20100051448A (en) * 2008-11-07 2010-05-17 주식회사 포스코 System and method for visualizing temperature distribution in 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
CN106435070A (en) * 2016-10-31 2017-02-22 马鞍山钢铁股份有限公司 Blast furnace shaft temperature management system and method
CN106435078A (en) * 2016-08-30 2017-02-22 武汉钢铁股份有限公司 Continuous diagnosis and adjustment method for blast furnace wall accretion
CN206232765U (en) * 2016-10-31 2017-06-09 马鞍山钢铁股份有限公司 A kind of blast-furnace shaft temperature management system
JP2019031641A (en) * 2017-08-09 2019-02-28 新日鐵住金株式会社 A method for producing blast furnace coke
CN111593155A (en) * 2020-05-28 2020-08-28 江苏省沙钢钢铁研究院有限公司 Blast furnace diagnosis system and method
CN112251555A (en) * 2020-10-23 2021-01-22 中冶南方工程技术有限公司 Slag crust falling degree analysis method, terminal equipment and storage medium
CN112347154A (en) * 2020-10-23 2021-02-09 中冶南方工程技术有限公司 Slag crust shedding index calculation method, terminal equipment and storage medium
WO2021068891A1 (en) * 2019-10-08 2021-04-15 Shanghai Weilian Information Technology Co., Ltd. Method, system, electronic device, and storage medium for storing and collecting temperature data
WO2021164267A1 (en) * 2020-02-21 2021-08-26 平安科技(深圳)有限公司 Anomaly detection method and apparatus, and terminal device and storage medium

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH04285105A (en) * 1991-03-13 1992-10-09 Kobe Steel Ltd Method for grasping wall dropping condition in high temperature heating furnace
CN2915874Y (en) * 2006-03-29 2007-06-27 上海隆缔电子设备有限公司 Continuous and automatic tracking monitoring spectrogram recording device for blast furnace tapping temperature
CN100485047C (en) * 2006-12-18 2009-05-06 冶金自动化研究设计院 Intelligent diagnosis and determination support system for blast furnace
JP5585519B2 (en) * 2011-04-12 2014-09-10 新日鐵住金株式会社 Evaluation method of furnace wall deposits and blast furnace operation method
JP7073951B2 (en) * 2018-07-09 2022-05-24 日本製鉄株式会社 Blast furnace monitoring device, blast furnace monitoring method, and blast furnace monitoring program

Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008105881A (en) * 2006-10-24 2008-05-08 Nippon Steel Corp Method of treating blast furnace slag and apparatus for treating blast furnace slag
KR20100051448A (en) * 2008-11-07 2010-05-17 주식회사 포스코 System and method for visualizing temperature distribution in 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
CN106435078A (en) * 2016-08-30 2017-02-22 武汉钢铁股份有限公司 Continuous diagnosis and adjustment method for blast furnace wall accretion
CN106435070A (en) * 2016-10-31 2017-02-22 马鞍山钢铁股份有限公司 Blast furnace shaft temperature management system and method
CN206232765U (en) * 2016-10-31 2017-06-09 马鞍山钢铁股份有限公司 A kind of blast-furnace shaft temperature management system
JP2019031641A (en) * 2017-08-09 2019-02-28 新日鐵住金株式会社 A method for producing blast furnace coke
WO2021068891A1 (en) * 2019-10-08 2021-04-15 Shanghai Weilian Information Technology Co., Ltd. Method, system, electronic device, and storage medium for storing and collecting temperature data
WO2021164267A1 (en) * 2020-02-21 2021-08-26 平安科技(深圳)有限公司 Anomaly detection method and apparatus, and terminal device and storage medium
CN111593155A (en) * 2020-05-28 2020-08-28 江苏省沙钢钢铁研究院有限公司 Blast furnace diagnosis system and method
CN112251555A (en) * 2020-10-23 2021-01-22 中冶南方工程技术有限公司 Slag crust falling degree analysis method, terminal equipment and storage medium
CN112347154A (en) * 2020-10-23 2021-02-09 中冶南方工程技术有限公司 Slag crust shedding index calculation method, terminal equipment and storage medium

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
Spatial Feature Learning Based Gaussian Process Regression for Blast Furnace Raceway Temperature Prediction;Erdong Chen.et al;2021 International Conference on Electronic Information Engineering and Computer Science (EIECS);第635-641页 *
刘云彩.现代高炉操作.北京冶金工业出版社,2016,第107-112页. *
高炉渣皮脱落分析;刘云彩;中国冶金;第32-35页 *

Also Published As

Publication number Publication date
WO2023060663A1 (en) 2023-04-20
CN113987008A (en) 2022-01-28

Similar Documents

Publication Publication Date Title
EP1873604A1 (en) Data collection device and gateway device
JP2018145520A (en) Device and method of thermal prediction for blast furnace
CN112347154A (en) Slag crust shedding index calculation method, terminal equipment and storage medium
US20220121641A1 (en) Multi-sensor-based state estimation method and apparatus and terminal device
EP3936958A1 (en) Cooperative learning system and monitoring system
CN111104540A (en) Image searching method, device, equipment and computer readable storage medium
CN113987008B (en) Blast furnace slag peel falling judgment method, terminal equipment and storage medium
JP2023502716A (en) Heat treatment adjustment control method based on information collected in situ and its application
CN114341879A (en) Learning model generation method, learning model generation device, blast furnace hot metal temperature control method, blast furnace hot metal temperature control guidance method, and hot metal production method
CN112251555A (en) Slag crust falling degree analysis method, terminal equipment and storage medium
JP2014059592A (en) Output value prediction device, output value prediction method and program for output value prediction method
CN113987007B (en) Blast furnace slag peel falling and merging method, terminal equipment and storage medium
JP6904157B2 (en) Operation schedule creation method, equipment and programs
CN105574317B (en) Soft measurement method for melt temperature in oxygen bottom blowing copper smelting process
Derin et al. Phosphate, phosphide, nitride and carbide capacity predictions of Molten melts by using an artificial neural network approach
CN114242179B (en) Refined alloy element yield prediction method, refined alloy element yield prediction system, electronic equipment and medium
JP2018177869A (en) An extrusion load predictor for a coke oven, a prediction method for an extrusion load, a computer program and a computer readable memory medium
CN113313393A (en) Processing method, device, readable medium and equipment for flight space control instruction
CN113283501A (en) Deep learning-based equipment state detection method, device, equipment and medium
CN112347153A (en) Blast furnace wall internal type judging method, terminal equipment and storage medium
CN114881492B (en) Method and device for automatically extracting blast furnace performance operating standard and electronic equipment
CN108073256B (en) Electronic device and temperature value processing method of electronic device
CN105204918A (en) Method for automatically processing electrical resistivity data
CN114242179A (en) Method and system for predicting yield of refined alloy element, electronic device, and medium
JP7343078B1 (en) Normal vector registration device, equipment abnormality monitoring system, and equipment abnormality monitoring method

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
GR01 Patent grant
GR01 Patent grant