CN112684154A - Raw material and clinker process based on online quality control - Google Patents
Raw material and clinker process based on online quality control Download PDFInfo
- Publication number
- CN112684154A CN112684154A CN202011595687.XA CN202011595687A CN112684154A CN 112684154 A CN112684154 A CN 112684154A CN 202011595687 A CN202011595687 A CN 202011595687A CN 112684154 A CN112684154 A CN 112684154A
- Authority
- CN
- China
- Prior art keywords
- quality control
- raw material
- clinker
- raw
- kiln
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 239000002994 raw material Substances 0.000 title claims abstract description 97
- 238000003908 quality control method Methods 0.000 title claims abstract description 91
- 238000000034 method Methods 0.000 title claims abstract description 29
- 239000003245 coal Substances 0.000 claims abstract description 48
- 238000001514 detection method Methods 0.000 claims abstract description 34
- 230000004913 activation Effects 0.000 claims abstract description 31
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 claims abstract description 22
- 238000004519 manufacturing process Methods 0.000 claims abstract description 17
- VYPSYNLAJGMNEJ-UHFFFAOYSA-N Silicium dioxide Chemical compound O=[Si]=O VYPSYNLAJGMNEJ-UHFFFAOYSA-N 0.000 claims abstract description 15
- 235000019738 Limestone Nutrition 0.000 claims abstract description 13
- 239000006028 limestone Substances 0.000 claims abstract description 13
- 239000000843 powder Substances 0.000 claims abstract description 13
- 229910052742 iron Inorganic materials 0.000 claims abstract description 11
- 238000000227 grinding Methods 0.000 claims abstract description 10
- 238000003860 storage Methods 0.000 claims abstract description 10
- 239000000377 silicon dioxide Substances 0.000 claims abstract description 7
- 238000005070 sampling Methods 0.000 claims description 44
- 238000002360 preparation method Methods 0.000 claims description 12
- 239000000463 material Substances 0.000 claims description 10
- CSDREXVUYHZDNP-UHFFFAOYSA-N alumanylidynesilicon Chemical compound [Al].[Si] CSDREXVUYHZDNP-UHFFFAOYSA-N 0.000 claims description 9
- 239000000203 mixture Substances 0.000 claims description 7
- 238000007689 inspection Methods 0.000 claims description 6
- 238000012360 testing method Methods 0.000 claims description 6
- 238000004458 analytical method Methods 0.000 claims description 5
- 238000012544 monitoring process Methods 0.000 claims description 5
- 239000000126 substance Substances 0.000 claims description 5
- 238000013499 data model Methods 0.000 claims description 4
- 229910052500 inorganic mineral Inorganic materials 0.000 claims description 4
- 239000011707 mineral Substances 0.000 claims description 4
- 238000007605 air drying Methods 0.000 claims description 3
- 230000007547 defect Effects 0.000 claims description 3
- 238000011068 loading method Methods 0.000 claims description 3
- 239000002245 particle Substances 0.000 claims description 3
- 235000012239 silicon dioxide Nutrition 0.000 claims description 3
- 239000004615 ingredient Substances 0.000 claims description 2
- 235000012054 meals Nutrition 0.000 claims 6
- 239000004568 cement Substances 0.000 abstract description 14
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 235000011293 Brassica napus Nutrition 0.000 description 1
- 240000008100 Brassica rapa Species 0.000 description 1
- 235000000540 Brassica rapa subsp rapa Nutrition 0.000 description 1
- 206010063385 Intellectualisation Diseases 0.000 description 1
- 239000004566 building material Substances 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000000265 homogenisation Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000003921 particle size analysis Methods 0.000 description 1
- 239000004576 sand Substances 0.000 description 1
- 239000002002 slurry Substances 0.000 description 1
- 238000003756 stirring Methods 0.000 description 1
- 239000004575 stone Substances 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Landscapes
- Analysing Materials By The Use Of Radiation (AREA)
Abstract
The invention discloses a raw material and clinker process based on-line quality control, which comprises the following steps: raw coal quality control, limestone quality control in a storage yard, alumino-silico raw material quality control, iron raw material quality control, raw material quality control in grinding and kiln entering, pulverized coal quality control in the kiln, hot raw material quality control and clinker quality control, wherein the raw material and clinker quality control process requires the following equipment: the device comprises an online cross-belt neutron activation analyzer, a high-low silica sandstone automatic sampler, a raw material grinding and grinding raw material and kiln raw material automatic sampler, a kiln coal powder automatic sampler, a kiln clinker automatic sampler and a shell conveying system for conveying raw material and clinker samples. The invention adopts the on-line type cross-band neutron activation analyzer and the shell conveying system to carry out real-time on-line detection on various raw materials and process stages of cement raw materials and clinker, can accurately and effectively analyze the components in the raw materials, and improves the production quality of cement.
Description
Technical Field
The invention relates to the technical field of cement production, in particular to a raw material and clinker process based on online quality control.
Background
The cement is a powdery hydraulic inorganic gel material, can be formed into slurry by stirring after being added with water, can be hardened in air or in water, can firmly bond sand, stone and other materials together, and is an important building material in the building industry.
Through massive search, the prior art is found, the publication number is CN109725138A, and a method, a device and equipment for detecting the clinker quality in the production of an intelligent cement factory are disclosed, wherein the method comprises the following steps: obtaining reconstructed data of the sample to be detected by using the clinker quality detection model and the principal component original data of the sample to be detected; solving a square root error between the reconstructed data of the sample to be detected and the principal component original data of the sample to be detected; comparing the square root error of the reconstructed data of the sample to be detected and the principal component original data of the sample to be detected with a clinker quality detection threshold; and outputting a comparison result. The device and the equipment are used for realizing the method. The method can improve the quality detection accuracy of the cement clinker.
In summary, in the conventional cement production process, an effective and accurate control method for quality control of raw materials and clinker is not obtained, and raw material quality at each stage of cement production cannot be detected, so that the quality of cement production is affected.
Disclosure of Invention
The invention aims to provide a raw material and clinker process based on-line quality control, so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: a raw material and clinker process based on-line quality control comprises the following steps: raw coal quality control in a factory, limestone quality control in a storage yard, silico-aluminous raw material quality control, iron raw material quality control, raw material quality control in a mill and a kiln, coal powder quality control in the kiln, hot raw material quality control and clinker quality control;
the raw material and clinker quality control process requires the following equipment: the device comprises an online cross-belt neutron activation analyzer, a high-low silica sandstone automatic sampler, a raw material grinding and grinding raw material and kiln raw material automatic sampler, a kiln coal powder automatic sampler, a kiln clinker automatic sampler and a shell conveying system for conveying raw material and clinker samples.
Preferably, the quality control of the raw coal entering the factory adopts a cross-band neutron activation analyzer to comprehensively and dynamically analyze and detect the raw coal entering the factory, a raw coal pile quality data model is established by using continuous detection data provided by the cross-band neutron activation analyzer, the quality condition of a coal pile is accurately mastered, guarantee is provided for accurately realizing coal material to the mouth, and the quality of the raw coal can be prevented from being faked by a supplier;
the cross-band neutron activation analyzer is matched with a bypass type online cross-band neutron activation analyzer and raw coal automatic sampling equipment, and the comprehensiveness of the raw coal quality inspection can be used for detecting the air drying base moisture of a raw coal sample.
Preferably, the quality control of the limestone entering the storage yard is realized by installing an online cross-band neutron activation analyzer on a storage yard conveying belt of a production line, so that real-time online detection can be realized, and manual sampling, sample preparation and monitoring analysis are not needed;
the online cross-band neutron activation analyzer can timely, rapidly and accurately feed back quality data of main elements and harmful ingredients of limestone, and facilitates accurate guidance of matching and adjustment of mine production quality.
Preferably, the quality control of the silicon-aluminum raw material adopts manual collection, an automatic sampling, sample preparation and division system is installed on site, and the silicon-aluminum raw material is manually taken back and sent to a laboratory for automatic detection of a fluorometer;
the content of silicon dioxide in the silicon-aluminum raw material can be detected through automatic detection of a fluorescence instrument, and the precision is higher.
Preferably, the quality control of the irony raw material adopts a manual sampling and sample preparation mode, and the irony raw material is manually sent to a laboratory for testing;
adopt the fluorometer automated inspection to detect the quality of iron raw materials, can consider haulage vehicle's fast loading and unloading, manual sampling convenient and fast more.
Preferably, the quality control of raw materials in and out of the kiln adopts an online type cross-belt analyzer and an automatic sampling cannonball conveying automatic detection system, and the cannonball conveys samples to a laboratory for automatic sample treatment and detection after continuous and automatic sampling and division through an automatic sampler;
the on-line type cross-band neutron activation analyzer is used for continuously detecting the mixture entering the raw material mill, adjusting the mixture, manually detecting the raw materials entering the kiln after the raw materials are discharged from the mill, and automatically detecting the raw materials by adopting automatic sampling cannonball conveying;
the automatic sampling shell conveying automatic detection system continuously and automatically samples mill-out raw materials and kiln-in raw materials at a time interval of 1-2h, and can overcome the defect that an online cross-band neutron activation analyzer cannot detect the moisture and fineness indexes of the mill-out raw materials in a return process.
Preferably, the quality control of the coal powder entering the kiln, the quality control of the hot raw material and the quality control of the clinker all adopt a manual sampling mode and are sent to a laboratory for classified test;
the quality control of the coal powder entering the kiln adopts on-site dynamic sampling and division, and the sample is manually sent to a laboratory to detect the particle fineness;
the quality control of the hot raw material adopts automatic instantaneous sampling, and the sampled material is conveyed to a laboratory for detection through shell conveying equipment after being cooled to 100 ℃;
the clinker quality control adopts automatic sampling, division and sample preparation, and the clinker quality control is transmitted to a laboratory through a shell conveying system to carry out automatic sample processing, and all chemical components and clinker mineral components are detected.
Compared with the prior art, the invention has the beneficial effects that: the invention automatically samples, prepares samples, divides, conveys and analyzes the clinker and cement production process, uses the cross-belt analyzer to detect the raw burning material, can improve the representativeness and the effectiveness of the samples, realizes the intellectualization of quality control and management, avoids the artificial interference, can improve the sampling efficiency, reduces the labor intensity, reduces the waste of human resources, tracks and manages the sent samples, realizes the full-period quality tracking of products, and is beneficial to improving the quality of cement production.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it should be noted that the terms "upper", "lower", "inner", "outer", "front", "rear", "both ends", "one end", "the other end", and the like indicate orientations or positional relationships only for convenience in describing the present invention and simplifying the description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it is to be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "disposed," "connected," and the like are to be construed broadly, such as "connected," which may be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
The invention provides two embodiments: a raw material and clinker process based on-line quality control comprises the following steps: raw coal quality control in a factory, limestone quality control in a storage yard, silico-aluminous raw material quality control, iron raw material quality control, raw material quality control in a mill and a kiln, coal powder quality control in the kiln, hot raw material quality control and clinker quality control;
the raw material and clinker quality control process requires the following equipment: the device comprises an online cross-belt neutron activation analyzer, a high-low silica sandstone automatic sampler, a raw material grinding and grinding raw material and kiln raw material automatic sampler, a kiln coal powder automatic sampler, a kiln clinker automatic sampler and a shell conveying system for conveying raw material and clinker samples.
A laboratory equipped integrated sampling system comprising: one manipulator, two grinding preforming all-in-one, a laser particle size analysis, not only area is little, and can satisfy the detection function that sample processing, cement fineness sifted out. One X-fluorescence analyzer is selected as the sample detection equipment, so that the chemical analysis of clinker and cement and the f-CaO detection of clinker can be met.
The first embodiment is as follows:
the quality control of the raw coal entering the factory adopts a cross-band neutron activation analyzer to comprehensively and dynamically analyze and detect the raw coal entering the factory, a raw coal pile quality data model is established by utilizing continuous detection data provided by the cross-band neutron activation analyzer, the quality condition of a coal pile is accurately mastered, the guarantee is provided for the accurate coal material realization and the quality of the raw coal can be prevented from being faked by a supplier;
the comprehensive performance of raw coal quality inspection can be detected for air drying base water of a raw coal sample by matching a cross-band neutron activation analyzer with a bypass type online cross-band neutron activation analyzer and raw coal automatic sampling equipment;
the cross-band neutron activation analyzer can be used for fully and dynamically monitoring the quality of raw coal entering a factory, a raw coal stacking quality data model is established, and guarantee is accurately provided for coal material opening.
The quality control of limestone entering a storage yard is realized by installing an online cross-band neutron activation analyzer on a storage yard conveying belt of a production line, so that the online detection can be realized in real time without manual sampling, sample preparation and monitoring analysis;
the online cross-band neutron activation analyzer can be used for timely, quickly and accurately feeding back quality data of main elements and harmful components of limestone, and is convenient for accurately guiding the matching and adjustment of the production quality of the mine;
after the limestone mine is put into operation by the online cross-band neutron activation analyzer, the production quality collocation and adjustment of the mine can be accurately guided according to real-time online monitoring data, so that the mine resources are comprehensively utilized to the maximum extent, and meanwhile, data support is provided for the establishment of a subsequent digital limestone mine and limestone homogenization stock dump quality model.
The quality control of the silicon-aluminum raw material adopts manual collection, an automatic sampling, sample preparation and division system is installed on site, and the silicon-aluminum raw material is manually taken back and sent to a laboratory for automatic detection of a fluorometer;
the content of silicon dioxide in the silicon-aluminum raw material can be detected through automatic detection of a fluorescence instrument, and the precision is higher.
The quality control of raw materials discharged from the mill and fed into the kiln adopts an online type cross-belt analyzer and an automatic sampling cannonball conveying automatic detection system, and the cannonball conveys samples to a laboratory for automatic sample treatment and detection after continuous and automatic sampling and division through an automatic sampler;
the on-line type cross-band neutron activation analyzer continuously detects the mixture of the raw material mill, adjusts the mixture, manually detects the raw material discharged from the mill and fed into the kiln, and automatically detects the raw material by adopting an automatic sampling shell to convey;
the automatic sampling shell conveying automatic detection system continuously and automatically samples mill-out raw materials and kiln-in raw materials at a time interval of 1-2h, and can overcome the defect that an online cross-band neutron activation analyzer cannot detect the moisture and fineness indexes of the mill-out raw materials in a return process.
Example two:
the quality control of the iron raw material adopts the modes of manual sampling and sample preparation, and the iron raw material is manually sent to a laboratory for testing;
adopt the fluorometer automated inspection to detect the quality of iron raw materials, can consider haulage vehicle's fast loading and unloading, manual sampling convenient and fast more.
The quality control of the coal powder entering the kiln, the quality control of the hot raw material and the quality control of the clinker all adopt a manual sampling mode and are sent to a laboratory for classified test;
the quality control of the coal powder entering the kiln adopts on-site dynamic sampling and division, and the sample is manually sent to a laboratory to detect the particle fineness;
the quality control of the hot raw material adopts automatic instantaneous sampling, and the sampled material is conveyed to a laboratory for detection through shell conveying equipment after being cooled to 100 ℃;
the clinker quality control adopts automatic sampling, division and sample preparation, and the clinker quality control is transmitted to a laboratory through a shell conveying system for automatic sample processing, all chemical components and clinker mineral components are detected,
the quality control of the production and delivery processes of a clinker area and a wharf area is realized, after an automatic sampling shell conveying automatic detection system and matched intelligent software are used for automatic adjustment, the sampling representativeness and the data reliability are ensured through continuous automatic sampling detection and batching adjustment and mineral composition analysis, the running operation of the kiln is effectively evaluated and guided, the main chemical component deviation is superior to the existing manual detection and adjustment data of the turnip lake conch to the inspected quality data of the intelligent quality control system, and the stability of the quality of clinker and cement production processes and outgoing products is improved.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein.
Claims (7)
1. A raw material and clinker process based on-line quality control is characterized in that: the quality control process of the raw materials and the clinker comprises the following steps: raw coal quality control in a factory, limestone quality control in a storage yard, silico-aluminous raw material quality control, iron raw material quality control, raw material quality control in a mill and a kiln, coal powder quality control in the kiln, hot raw material quality control and clinker quality control;
the raw material and clinker quality control process requires the following equipment: the device comprises an online cross-belt neutron activation analyzer, a high-low silica sandstone automatic sampler, a raw material grinding and grinding raw material and kiln raw material automatic sampler, a kiln coal powder automatic sampler, a kiln clinker automatic sampler and a shell conveying system for conveying raw material and clinker samples.
2. The raw meal and clinker process based on-line quality control as claimed in claim 1, wherein: the quality control of the raw coal entering the factory adopts a cross-band neutron activation analyzer to comprehensively and dynamically analyze and detect the raw coal entering the factory, a raw coal pile quality data model is established by utilizing continuous detection data provided by the cross-band neutron activation analyzer, the quality condition of a coal pile is accurately mastered, the guarantee is provided for the accurate coal material realization and the quality of the raw coal can be prevented from being faked by a supplier;
the cross-band neutron activation analyzer is matched with a bypass type online cross-band neutron activation analyzer and raw coal automatic sampling equipment, and the comprehensiveness of the raw coal quality inspection can be used for detecting the air drying base moisture of a raw coal sample.
3. The raw meal and clinker process based on-line quality control as claimed in claim 1, wherein: the quality control of the limestone entering the storage yard is realized by installing an online cross-band neutron activation analyzer on a storage yard conveying belt of a production line, so that the online detection can be realized in real time without manual sampling, sample preparation and monitoring analysis;
the online cross-band neutron activation analyzer can timely, rapidly and accurately feed back quality data of main elements and harmful ingredients of limestone, and facilitates accurate guidance of matching and adjustment of mine production quality.
4. The raw meal and clinker process based on-line quality control as claimed in claim 1, wherein: the quality control of the silicon-aluminum raw material adopts manual collection, an automatic sampling, sample preparation and division system is installed on site, and the silicon-aluminum raw material is manually taken back and sent to a laboratory for automatic detection of a fluorescence instrument;
the content of silicon dioxide in the silicon-aluminum raw material can be detected through automatic detection of a fluorescence instrument, and the precision is higher.
5. The raw meal and clinker process based on-line quality control as claimed in claim 1, wherein: the quality control of the iron raw material adopts the modes of manual sampling and sample preparation, and the iron raw material is manually conveyed to a laboratory for testing;
adopt the fluorometer automated inspection to detect the quality of iron raw materials, can consider haulage vehicle's fast loading and unloading, manual sampling convenient and fast more.
6. The raw meal and clinker process based on-line quality control as claimed in claim 1, wherein: the quality control of the raw materials discharged from the mill and fed into the kiln adopts an online type cross-belt analyzer and an automatic sampling cannonball conveying automatic detection system, and the cannonball conveys samples to a laboratory for automatic sample treatment and detection after continuous and automatic sampling and division through an automatic sampler;
the on-line type cross-band neutron activation analyzer is used for continuously detecting the mixture entering the raw material mill, adjusting the mixture, manually detecting the raw materials entering the kiln after the raw materials are discharged from the mill, and automatically detecting the raw materials by adopting automatic sampling cannonball conveying;
the automatic sampling shell conveying automatic detection system continuously and automatically samples mill-out raw materials and kiln-in raw materials at a time interval of 1-2h, and can overcome the defect that an online cross-band neutron activation analyzer cannot detect the moisture and fineness indexes of the mill-out raw materials in a return process.
7. The raw meal and clinker process based on-line quality control as claimed in claim 1, wherein: the quality control of the coal powder entering the kiln, the quality control of the hot raw material and the quality control of the clinker are all performed in a manual sampling mode and are sent to a laboratory for classified test;
the quality control of the coal powder entering the kiln adopts on-site dynamic sampling and division, and the sample is manually sent to a laboratory to detect the particle fineness;
the quality control of the hot raw material adopts automatic instantaneous sampling, and the sampled material is conveyed to a laboratory for detection through shell conveying equipment after being cooled to 100 ℃;
the clinker quality control adopts automatic sampling, division and sample preparation, and the clinker quality control is transmitted to a laboratory through a shell conveying system to carry out automatic sample processing, and all chemical components and clinker mineral components are detected.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011595687.XA CN112684154A (en) | 2020-12-29 | 2020-12-29 | Raw material and clinker process based on online quality control |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011595687.XA CN112684154A (en) | 2020-12-29 | 2020-12-29 | Raw material and clinker process based on online quality control |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112684154A true CN112684154A (en) | 2021-04-20 |
Family
ID=75453999
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011595687.XA Pending CN112684154A (en) | 2020-12-29 | 2020-12-29 | Raw material and clinker process based on online quality control |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112684154A (en) |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007271448A (en) * | 2006-03-31 | 2007-10-18 | Sumitomo Osaka Cement Co Ltd | Quality estimation method of cement, and quality control method using same |
| JP2013133237A (en) * | 2011-12-26 | 2013-07-08 | Mitsubishi Materials Corp | Cement clinker production system |
| CN106153657A (en) * | 2016-09-19 | 2016-11-23 | 长沙开元仪器股份有限公司 | Ature of coal on-line measuring device and method |
| CN206670964U (en) * | 2017-03-29 | 2017-11-24 | 沈阳阿尔洛科技有限公司 | The full-automatic sampling system of powder |
| CN108007948A (en) * | 2017-12-22 | 2018-05-08 | 安徽海螺集团有限责任公司 | Neutron activation analysis equipment |
| CN208366990U (en) * | 2018-06-29 | 2019-01-11 | 南京航空航天大学 | A kind of detection device for full coal stream coal constituent |
| CN109725138A (en) * | 2019-01-24 | 2019-05-07 | 济南大学 | Clinker quality detection method, device and equipment in intelligent cement factory production |
| CN109999712A (en) * | 2019-03-20 | 2019-07-12 | 安徽海螺集团有限责任公司 | A kind of feed proportioning system automated in industrial production |
| CN110002775A (en) * | 2019-03-20 | 2019-07-12 | 安徽海螺集团有限责任公司 | Integral intelligent quality control system for the control of manufacture of cement quality |
| CN110308291A (en) * | 2018-06-26 | 2019-10-08 | 沈阳阿尔洛科技有限公司 | Cement quality intelligent control laboratory |
| CN111551698A (en) * | 2020-05-22 | 2020-08-18 | 绵阳钢猫科技有限公司 | Cement production quality on-line detection method |
| CN111738547A (en) * | 2020-05-19 | 2020-10-02 | 北京坚构创新科技有限公司 | Quality management system for cement production line |
-
2020
- 2020-12-29 CN CN202011595687.XA patent/CN112684154A/en active Pending
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007271448A (en) * | 2006-03-31 | 2007-10-18 | Sumitomo Osaka Cement Co Ltd | Quality estimation method of cement, and quality control method using same |
| JP2013133237A (en) * | 2011-12-26 | 2013-07-08 | Mitsubishi Materials Corp | Cement clinker production system |
| CN106153657A (en) * | 2016-09-19 | 2016-11-23 | 长沙开元仪器股份有限公司 | Ature of coal on-line measuring device and method |
| CN206670964U (en) * | 2017-03-29 | 2017-11-24 | 沈阳阿尔洛科技有限公司 | The full-automatic sampling system of powder |
| CN108007948A (en) * | 2017-12-22 | 2018-05-08 | 安徽海螺集团有限责任公司 | Neutron activation analysis equipment |
| CN110308291A (en) * | 2018-06-26 | 2019-10-08 | 沈阳阿尔洛科技有限公司 | Cement quality intelligent control laboratory |
| CN208366990U (en) * | 2018-06-29 | 2019-01-11 | 南京航空航天大学 | A kind of detection device for full coal stream coal constituent |
| CN109725138A (en) * | 2019-01-24 | 2019-05-07 | 济南大学 | Clinker quality detection method, device and equipment in intelligent cement factory production |
| CN109999712A (en) * | 2019-03-20 | 2019-07-12 | 安徽海螺集团有限责任公司 | A kind of feed proportioning system automated in industrial production |
| CN110002775A (en) * | 2019-03-20 | 2019-07-12 | 安徽海螺集团有限责任公司 | Integral intelligent quality control system for the control of manufacture of cement quality |
| CN111738547A (en) * | 2020-05-19 | 2020-10-02 | 北京坚构创新科技有限公司 | Quality management system for cement production line |
| CN111551698A (en) * | 2020-05-22 | 2020-08-18 | 绵阳钢猫科技有限公司 | Cement production quality on-line detection method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101671044B (en) | Application of PGNAA element on-line analyzer in production of aluminum oxide | |
| CN110002775B (en) | Integrated intelligent quality control system for cement production quality control | |
| Gaft et al. | Laser induced breakdown spectroscopy for bulk minerals online analyses | |
| US7924414B2 (en) | Non-hazardous bulk material analyzer system | |
| Zhu | Coal sampling and analysis standards | |
| US11254611B2 (en) | Cement production | |
| CN108267338A (en) | A kind of full-automatic coal is adopted, sample preparation and on-line analysis integral method | |
| CN108940462B (en) | Online control method for crushing fineness of coking matched coal | |
| CN109999712A (en) | A kind of feed proportioning system automated in industrial production | |
| CN112684154A (en) | Raw material and clinker process based on online quality control | |
| WO2016101911A1 (en) | Automatic sample preparation system having moisture pretreatment function | |
| US7663108B2 (en) | Pulverized bulk material planetary and double helix analyzer system | |
| CN111551698A (en) | Cement production quality on-line detection method | |
| CN205484031U (en) | Near infrared spectroscopy analytical equipment of large granule material | |
| CN110372235B (en) | Cement raw material batching system and batching method | |
| CN105445221A (en) | NIR (near infrared spectrum) analysis device and method for large-particle material | |
| CN113621793B (en) | Sintered solid fuel size fraction control method | |
| Gordon et al. | Improving sinter feed analysis | |
| CN110632108A (en) | Flux adding control system and method based on X-ray diffraction analysis | |
| CN217466584U (en) | Drum mixes quick-witted pelletization effect on-line measuring device | |
| CN215328297U (en) | Sintered solid fuel size fraction control system for improving combustion efficiency | |
| CN113984817A (en) | Application method of channel-type element on-line analyzer | |
| CN219417291U (en) | Ore grade on-line measuring system | |
| Haha et al. | Control of Cement Composition and Quality: Potential Application of AI Techniques | |
| van der Haar et al. | Toward Operational Excellence in Cement Manufacturing Using Elemental and Mineralogical Analysis: An Overview of Critical Success Factors |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210420 |