CN105547917A - Automatic detection method for coal product ash content - Google Patents
Automatic detection method for coal product ash content Download PDFInfo
- Publication number
- CN105547917A CN105547917A CN201610097063.2A CN201610097063A CN105547917A CN 105547917 A CN105547917 A CN 105547917A CN 201610097063 A CN201610097063 A CN 201610097063A CN 105547917 A CN105547917 A CN 105547917A
- Authority
- CN
- China
- Prior art keywords
- density
- coal
- ash content
- product
- ash
- 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
- 239000003245 coal Substances 0.000 title claims abstract description 73
- 238000001514 detection method Methods 0.000 title claims abstract description 29
- 238000000034 method Methods 0.000 claims abstract description 25
- 238000004364 calculation method Methods 0.000 claims description 12
- 230000001186 cumulative effect Effects 0.000 claims description 11
- 238000012360 testing method Methods 0.000 claims description 8
- 239000000463 material Substances 0.000 claims description 4
- 238000002474 experimental method Methods 0.000 claims description 3
- 238000003860 storage Methods 0.000 claims description 3
- 239000002956 ash Substances 0.000 abstract description 73
- 238000004519 manufacturing process Methods 0.000 abstract description 10
- 239000010883 coal ash Substances 0.000 abstract description 4
- 238000011897 real-time detection Methods 0.000 abstract description 2
- 230000002285 radioactive effect Effects 0.000 description 5
- 239000002245 particle Substances 0.000 description 3
- 238000010521 absorption reaction Methods 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 230000004907 flux Effects 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 238000002360 preparation method Methods 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- 238000005406 washing Methods 0.000 description 2
- 229910052695 Americium Inorganic materials 0.000 description 1
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 1
- LXQXZNRPTYVCNG-UHFFFAOYSA-N americium atom Chemical compound [Am] LXQXZNRPTYVCNG-UHFFFAOYSA-N 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 229910052792 caesium Inorganic materials 0.000 description 1
- TVFDJXOCXUVLDH-UHFFFAOYSA-N caesium atom Chemical compound [Cs] TVFDJXOCXUVLDH-UHFFFAOYSA-N 0.000 description 1
- 229910052799 carbon Inorganic materials 0.000 description 1
- 238000010924 continuous production Methods 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 238000009795 derivation Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000009977 dual effect Effects 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- 230000005251 gamma ray Effects 0.000 description 1
- 229910052500 inorganic mineral Inorganic materials 0.000 description 1
- -1 middlings and gangue Substances 0.000 description 1
- 239000011707 mineral Substances 0.000 description 1
- 238000005293 physical law Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 238000010998 test method Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N9/00—Investigating density or specific gravity of materials; Analysing materials by determining density or specific gravity
- G01N9/36—Analysing materials by measuring the density or specific gravity, e.g. determining quantity of moisture
Landscapes
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Processing Of Solid Wastes (AREA)
Abstract
The invention discloses an automatic detection method for the coal product ash content and belongs to the technical field of coal dressing detection methods. The automatic detection method is used for performing on-line ash content detection on a coal product. According to the technical scheme, in the process of conveying coal through a belt, a high-precision belt weigher and a volume scanner are used for determining the quality and volume of the coal product in real time; the density of the product is calculated through a computer, a density-ash content relation curve of the coal product is input into the computer, and then the computer automatically calculates the ash content of the product according to the density and the density-ash content relation curve of the product. The method is a brand-new detection method for the coal product ash content and is an innovation in the field of coal detection, on-line real-time detection of the coal ash content is achieved, the simple, rapid and accurate on-line detection method for the ash content is provided for the coal product, can achieve continuous and rapid detection on a coal conveying line, quite facilitates guiding of the production process in time and improves product quality through continuous detection and has remarkable economic benefits.
Description
Technical Field
The invention relates to a coal product ash content detection method, and belongs to the technical field of coal dressing detection methods.
Background
Ash content is one of important indexes of coal product quality, but coal ash content determination is mostly carried out in a laboratory, the ash content measurement generally adopts three steps of sampling, sample preparation and ash burning, 1 hour is also needed at the fastest speed, the detection method is spot check, and for a continuous production process, the detection method has certain hysteresis and discontinuity and cannot guide the production process in time. At present, coal products are mainly four products of raw coal, clean coal, middlings and gangue, and ash content is equally important to the four products. When raw coal is purchased, whether the ash content of a raw coal product is continuous and stable is difficult to measure; clean coal products are the most important products after coal washing, ash content is an important index, and the conventional ash content measuring means hardly guides the stability of the ash content in the production process and cannot guide the production process in time. For middlings and gangue products, whether the coal leakage phenomenon exists in the washing process or not can be judged through ash content detection, and the ash content detection is equally important. In consideration of the practical production situation of the coal preparation plant, the product with high mechanization and automation degree is applied to replace manual detection, so that the personnel investment can be reduced to a great extent, and the instability caused by manual operation of equipment can be overcome. Importantly, the continuous product detection process can bring convenience to the production process and guide the production process in time, and the automatic ash measuring devices which are put into operation at present mainly comprise the following two types.
The radioactive source densimeter: the principal principle follows the physical law of energy balance, with gamma rays being absorbed by the material as they pass through it, with their intensity decreasing, assuming that the distance between the source and the detector is constant and the path of measurement is constant. The difference of average atomic number between combustible substances and ash content is larger than about 6, the coal flow can be irradiated by dual-energy gamma rays, wherein a low-energy Am (americium) source is used for detecting the ash content of coal, and a medium-energy Cs (cesium) source is used for eliminating the influence caused by thickness and density. Theoretical derivation shows that the absorption relationship (R) between Ash (Ad) and the dual source is linear, that is, the formula Ash ═ kR + b (R is the ratio of the characteristic parameters of the Am source and the Cs source after absorption) can be obtained. Thus, the content of combustible substances with lower atomic numbers is determined and is displayed in the form of ash after data processing. The ash content of the product obtained by the test method is high in accuracy. The main defects are that the examination and approval procedures of the equipment are complex, the later-stage use is strictly controlled by the state, the personnel investment and the use cost are higher, and the large-area popularization and application in the coal dressing industry are not realized.
Natural gamma ray ash analyzer (passive ash analyzer): the main principle is that the minerals generally contain trace natural radioactive elements, while the radioactive elements in coal mainly exist in ash, and fixed carbon and volatile matters generally do not contain radioactive elements. The characteristic gamma particle flux emitted by coal has a specific mathematical relationship with the ash content in the coal. The characteristic flux of the characteristic gamma particles is detected by a high-efficiency and high-sensitivity gamma particle detector to obtain the total ash content, and the coal ash content is calculated by combining the load size. The method is simple in principle, but the accuracy is not as high as that of a radioactive source ash instrument.
Because the two methods have respective defects and cannot meet the requirements of current production development, a new automatic detection method for coal product ash content is urgently needed to be researched and developed for guiding production in time.
Disclosure of Invention
The invention aims to solve the technical problem of providing an automatic detection method for coal product ash content, which can calculate the product density by measuring the quality and volume of coal products in real time in the belt transportation process of coal and then calculate the product ash content according to the product density, thereby providing a simple, rapid and accurate online ash content detection method for the coal products.
The technical scheme for solving the technical problems is as follows:
an automatic detection method for ash content of coal products comprises the following steps:
(1) installing a high-precision belt scale on a product conveying belt, detecting the product quality m, installing a volume scanner at a corresponding position, accurately measuring the volume V of a weighed material, connecting signal output ends of the high-precision belt scale and the volume scanner with a computer, and automatically inputting measured data into the computer;
(2) the computer calculates the coal quality of the product according to the data detected in the step (1)
(3) Aiming at the coal quality to be detected, obtaining each density grade through a sinking-floating testjAnd the corresponding yield gammajAnd corresponding product ash Adj(j ═ 1-N), calculated from the float and sink data
Average density of each density levelWherein,on the upper partUpper limit of individual density class, g/cm3，Lower partLower limit of individual density class, g/cm3N-is the floating density number of the experiment;
(4) respectively calculating positive accumulated ash A of each density level according to the floating and sinking datadj Is justAsh content A of each density gradedj Negative polePositive cumulative density rho of each density levelj Is justNegative accumulated density rho of each density levelj Negative pole；
(5) A is to bedj Is just，Adj Negative pole，ρj Is just，ρj Negative poleArranged in the order of small to large. Drawing a relation curve of density and ash content;
(6) approximating formula A of the density-ash relation curve obtained in the step (5)dA, b are constants for the same coal quality;
(7) approximating formula A obtained in step (6)dInputting the sum of a, rho and b into a computer for storage, and automatically substituting the rho calculated in the step (2) into the formula in the step (6) in real time by the computer to obtain the product ash Ad；
(8) When the coal quality changes, the floating and sinking test needs to be carried out again, and an approximate formula is sought.
According to the method for automatically detecting the ash content of the coal product, the positive accumulated ash content A of each density leveldj Is justThe calculation formula is as follows: positive cumulative ash at each density level
According to the method for automatically detecting the ash content of the coal product, the ash content A is accumulated by each density leveldj Negative poleThe calculation formula is as follows: ash content of each density level
In the method for automatically detecting ash content of coal products, the positive accumulated density rho of each density levelj Is justThe calculation formula is as follows: positive cumulative density of each density level
According to the method for automatically detecting ash content of coal products, the burden accumulated density rho of each density levelj Negative poleThe calculation formula is as follows: density of each density level
The invention has the beneficial effects that:
in the invention, in the process of belt transportation of coal, a high-precision belt scale and a volume scanner are used for measuring the quality and the volume of a coal product in real time, the density of the product is calculated by a computer, the product ash content is automatically calculated by the computer according to a density-ash content relation curve of the coal product, the density-ash content relation curve of the coal product is obtained by calculating the data of a float-sink test, and the related data is input into the computer to automatically calculate the product ash content by the computer.
The invention is a brand new coal product ash content detection method, is an innovation in the field of coal detection, solves the problem of coal ash content online real-time detection, provides a simple, quick and accurate online ash content detection method for coal products, can continuously and quickly detect on a coal conveying line, completely replaces manual detection, greatly reduces personnel investment, can overcome instability caused by manual operation equipment, is very favorable for guiding the production process in time by continuous detection, improves the product quality, has remarkable economic benefit, and has extremely good popularization and use values in the industry.
Drawings
FIG. 1 is a graph of density versus ash for a coal product;
FIG. 2 is a graph of density versus ash for another coal product.
The abscissa in the graph is coal density and the ordinate is percentage ash.
Detailed Description
The method for automatically detecting the ash content of the coal product comprises the steps of measuring the quality and the volume of the coal product in real time by using a high-precision belt scale and a volume scanner in the belt transportation process of the coal, calculating the density of the product by using a computer, inputting a density-ash content relation curve of the coal product into the computer, calculating the density-ash content relation curve of the coal product through the floating and sinking test data, and automatically calculating the ash content of the product by using the computer according to the density of the product and the density-ash content relation curve of the product.
The method comprises the following specific steps:
(1) installing a high-precision belt scale on a product conveying belt, detecting the product quality m, installing a volume scanner at a corresponding position, accurately measuring the volume V of a weighed material, connecting signal output ends of the high-precision belt scale and the volume scanner with a computer, and automatically inputting measured data into the computer;
(2) the computer calculates the coal quality of the product according to the data detected in the step (1)
(3) Aiming at the coal quality to be detected, obtaining each density grade through a sinking-floating testjAnd the corresponding yield gammajAnd corresponding product ash Adj(j ═ 1-N), calculated from the float and sink data
Average density of each density levelWherein,on the upper partUpper limit of individual density class, g/cm3，Lower partLower limit of individual density class, g/cm3N-is the floating density number of the experiment;
(4) respectively calculating positive accumulated ash A of each density level according to the floating and sinking datadj Is justAsh content A of each density gradedj Negative polePositive cumulative density rho of each density levelj Is justNegative accumulated density rho of each density levelj Negative pole；
(5) A is to bedj Is just，Adj Negative pole，ρj Is just，ρj Negative poleArranged in the order of small to large. Drawing a relation curve of density and ash content;
(6) approximating formula A of the density-ash relation curve obtained in the step (5)dA, b are constants for the same coal quality;
(7) approximating formula A obtained in step (6)dInputting the sum of a, rho and b into a computer for storage, and automatically substituting the rho calculated in the step (2) into the formula in the step (6) in real time by the computer to obtain the product ash Ad；
(8) When the coal quality changes, the floating and sinking test needs to be carried out again, and an approximate formula is sought.
Positive cumulative ash A of each density leveldj Is justThe calculation formula is as follows:
ash content A is accumulated in each density gradedj Negative poleThe calculation formula is as follows:
positive cumulative density rho of each density levelj Is justThe calculation formula is as follows:
the above-mentioned density levels of negative accumulated density rhoj Negative poleThe calculation formula is as follows:
Claims (5)
1. An automatic detection method for ash content of coal products is characterized by comprising the following steps: the method comprises the following steps:
(1) installing a high-precision belt scale on a product conveying belt, detecting the product quality m, installing a volume scanner at a corresponding position, accurately measuring the volume V of a weighed material, connecting signal output ends of the high-precision belt scale and the volume scanner with a computer, and automatically inputting measured data into the computer;
(2) the computer calculates the coal quality of the product according to the data detected in the step (1)
(3) Aiming at the coal quality to be detected, obtaining each density grade through a sinking-floating testjAnd the corresponding yield gammajAnd corresponding product ash Adj(j ═ 1-N), calculated from the float and sink data
Average density of each density levelWherein,on the upper partUpper limit of individual density class, g/cm3，Lower partLower limit of individual density class, g/cm3N-is the floating density number of the experiment;
(4) respectively calculating positive accumulated ash A of each density level according to the floating and sinking datadj Is justAsh content A of each density gradedj Negative polePositive cumulative density rho of each density levelj Is justNegative accumulated density rho of each density levelj Negative pole；
(5) A is to bedj Is just，Adj Negative pole，ρj Is just，ρj Negative poleArranged in the order of small to large. Drawing a relation curve of density and ash content;
(6) approximating formula A of the density-ash relation curve obtained in the step (5)dA, b are constants for the same coal quality;
(7) approximating formula A obtained in step (6)dInputting the sum of a, rho and b into a computer for storage, and automatically substituting the rho calculated in the step (2) into the formula in the step (6) in real time by the computer to obtain the product ash Ad；
(8) When the coal quality changes, the floating and sinking test needs to be carried out again, and an approximate formula is sought.
2. The method for automatically detecting ash content in coal products according to claim 1, wherein the method comprises the following steps: positive cumulative ash A of each density stagedj Is justThe calculation formula is as follows:
positive cumulative ash at each density level
3. The method for automatically detecting ash content in coal products according to claim 2, wherein the method comprises the following steps: ash content A is accumulated negatively for each density gradedj Negative poleThe calculation formula is as follows:
ash content of each density level
4. The method for automatically detecting ash content in coal products according to claim 3, wherein the method comprises the following steps: positive cumulative density rho of each density levelj Is justThe calculation formula is as follows:
positive cumulative density of each density level
5. The method for automatically detecting ash content in coal products according to claim 4, wherein the method comprises the following steps: the negative accumulated density rho of each density levelj Negative poleThe calculation formula is as follows:
density of each density level
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610097063.2A CN105547917A (en) | 2016-02-22 | 2016-02-22 | Automatic detection method for coal product ash content |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610097063.2A CN105547917A (en) | 2016-02-22 | 2016-02-22 | Automatic detection method for coal product ash content |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105547917A true CN105547917A (en) | 2016-05-04 |
Family
ID=55827259
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610097063.2A Pending CN105547917A (en) | 2016-02-22 | 2016-02-22 | Automatic detection method for coal product ash content |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105547917A (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109164230A (en) * | 2018-09-14 | 2019-01-08 | 丹东东方测控技术股份有限公司 | A kind of online coal calorimetry instrument of laser assisted detection |
| CN109164238A (en) * | 2018-09-14 | 2019-01-08 | 丹东东方测控技术股份有限公司 | The online ash content of coal analysis system compensated can be changed to moisture |
| CN109164235A (en) * | 2018-09-14 | 2019-01-08 | 丹东东方测控技术股份有限公司 | A kind of pair of belt speed changes the coal calorimetry instrument compensated |
| CN109164231A (en) * | 2018-09-14 | 2019-01-08 | 丹东东方测控技术股份有限公司 | The online ash content of coal analysis system compensated can be changed to belt speed, moisture |
| CN109212155A (en) * | 2018-09-14 | 2019-01-15 | 丹东东方测控技术股份有限公司 | A kind of coal calorimetry system of laser assisted detection |
| CN112798467A (en) * | 2020-12-15 | 2021-05-14 | 中煤科工集团唐山研究院有限公司 | Intelligent online ash detection device and detection method based on high-speed microscopic vision |
| CN112924328A (en) * | 2021-01-26 | 2021-06-08 | 特拓(青岛)轮胎技术有限公司 | Online testing method for density ratio of rubber part based on section online scanning and automatic weighing technology |
| CN114768987A (en) * | 2022-03-14 | 2022-07-22 | 国能智深控制技术有限公司 | DCS-based heavy medium ash content control method and system for coal preparation plant |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DD220130A1 (en) * | 1983-12-01 | 1985-03-20 | Adw Ddr | METHOD FOR DETERMINING THE MEASUREMENT OF MEASURED MATERIALS WITH A FAST-CHANGING FLAT MATERIAL |
| SU1592770A1 (en) * | 1987-05-19 | 1990-09-15 | Uralsky V Teplotekh | Method of determining ash- and moisture content of coal |
| CN1214452A (en) * | 1997-10-15 | 1999-04-21 | 路迈西 | Determination of float-and-sink composition of coal based on its ash content |
| KR100395096B1 (en) * | 1996-11-26 | 2003-11-20 | 주식회사 포스코 | Blast furnace pulverized coal injection method using lignite |
| CN103472204A (en) * | 2013-10-08 | 2013-12-25 | 天地（唐山）矿业科技有限公司 | Method for detecting ash content of floatation products |
| CN102836774B (en) * | 2012-09-04 | 2015-02-25 | 永城煤电控股集团有限公司 | Coal floating and sinking device and method |
| CN104390927A (en) * | 2014-10-24 | 2015-03-04 | 中华人民共和国黄埔出入境检验检疫局 | Novel method for rapidly detecting ash content in coal samples |
| CN104568996A (en) * | 2014-12-31 | 2015-04-29 | 北京默德科技有限公司 | System and method for quickly measuring coal ash content |
| CN204346951U (en) * | 2014-09-26 | 2015-05-20 | 北京辰安测控科技有限公司 | For the measuring equipment of the parameter detection device and material ash content that calculate material ash content |
| CN104698195A (en) * | 2013-12-10 | 2015-06-10 | 丹东东方测控技术股份有限公司 | Automatic offline ash detection device |
| CN204613057U (en) * | 2015-04-29 | 2015-09-02 | 北京微点至信科技有限公司 | Ash content of coal on-line measurement system |
-
2016
- 2016-02-22 CN CN201610097063.2A patent/CN105547917A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DD220130A1 (en) * | 1983-12-01 | 1985-03-20 | Adw Ddr | METHOD FOR DETERMINING THE MEASUREMENT OF MEASURED MATERIALS WITH A FAST-CHANGING FLAT MATERIAL |
| SU1592770A1 (en) * | 1987-05-19 | 1990-09-15 | Uralsky V Teplotekh | Method of determining ash- and moisture content of coal |
| KR100395096B1 (en) * | 1996-11-26 | 2003-11-20 | 주식회사 포스코 | Blast furnace pulverized coal injection method using lignite |
| CN1214452A (en) * | 1997-10-15 | 1999-04-21 | 路迈西 | Determination of float-and-sink composition of coal based on its ash content |
| CN102836774B (en) * | 2012-09-04 | 2015-02-25 | 永城煤电控股集团有限公司 | Coal floating and sinking device and method |
| CN103472204A (en) * | 2013-10-08 | 2013-12-25 | 天地（唐山）矿业科技有限公司 | Method for detecting ash content of floatation products |
| CN104698195A (en) * | 2013-12-10 | 2015-06-10 | 丹东东方测控技术股份有限公司 | Automatic offline ash detection device |
| CN204346951U (en) * | 2014-09-26 | 2015-05-20 | 北京辰安测控科技有限公司 | For the measuring equipment of the parameter detection device and material ash content that calculate material ash content |
| CN104390927A (en) * | 2014-10-24 | 2015-03-04 | 中华人民共和国黄埔出入境检验检疫局 | Novel method for rapidly detecting ash content in coal samples |
| CN104568996A (en) * | 2014-12-31 | 2015-04-29 | 北京默德科技有限公司 | System and method for quickly measuring coal ash content |
| CN204613057U (en) * | 2015-04-29 | 2015-09-02 | 北京微点至信科技有限公司 | Ash content of coal on-line measurement system |
Non-Patent Citations (3)
| Title |
|---|
| 张泽琳 等: "煤灰分在线检测方法及设备", 《选煤技术》 * |
| 杨小平: "《物理选矿》", 31 March 2015, 冶金工业出版社 * |
| 赵先华: "分布释放浮选曲线的修正及煤泥密度的确定", 《煤炭加工与综合利用》 * |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109164230A (en) * | 2018-09-14 | 2019-01-08 | 丹东东方测控技术股份有限公司 | A kind of online coal calorimetry instrument of laser assisted detection |
| CN109164238A (en) * | 2018-09-14 | 2019-01-08 | 丹东东方测控技术股份有限公司 | The online ash content of coal analysis system compensated can be changed to moisture |
| CN109164235A (en) * | 2018-09-14 | 2019-01-08 | 丹东东方测控技术股份有限公司 | A kind of pair of belt speed changes the coal calorimetry instrument compensated |
| CN109164231A (en) * | 2018-09-14 | 2019-01-08 | 丹东东方测控技术股份有限公司 | The online ash content of coal analysis system compensated can be changed to belt speed, moisture |
| CN109212155A (en) * | 2018-09-14 | 2019-01-15 | 丹东东方测控技术股份有限公司 | A kind of coal calorimetry system of laser assisted detection |
| CN112798467A (en) * | 2020-12-15 | 2021-05-14 | 中煤科工集团唐山研究院有限公司 | Intelligent online ash detection device and detection method based on high-speed microscopic vision |
| CN112924328A (en) * | 2021-01-26 | 2021-06-08 | 特拓(青岛)轮胎技术有限公司 | Online testing method for density ratio of rubber part based on section online scanning and automatic weighing technology |
| CN114768987A (en) * | 2022-03-14 | 2022-07-22 | 国能智深控制技术有限公司 | DCS-based heavy medium ash content control method and system for coal preparation plant |
| CN114768987B (en) * | 2022-03-14 | 2024-02-02 | 国能智深控制技术有限公司 | DCS-based coal preparation plant dense medium ash content control method and system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105547917A (en) | Automatic detection method for coal product ash content | |
| CN101509872B (en) | Coal quality on-line detecting analytical method based on regression analysis | |
| SU852185A3 (en) | Method of determining coal ash content | |
| CN204613057U (en) | Ash content of coal on-line measurement system | |
| CN102004097B (en) | Coal quality on-line detecting method based on dominating factor and combined with partial least squares method | |
| CN106198310A (en) | Ash content of coal On-line Measuring Method and system | |
| CN104655607B (en) | A kind of flotation froth layer antimony sulfide ore article position detecting method | |
| CA2863726C (en) | Method for determining the concentration of an element in a material | |
| NO810657L (en) | PROCEDURE AND APPARATUS FOR ANALYSIS OF A MULTIPLE PHASE FLUID THROUGH A PIPE | |
| Beigzadeh et al. | Design and improvement of a simple and easy-to-use gamma-ray densitometer for application in wood industry | |
| CN106226332A (en) | A kind of X-ray ash content of coal detection device and method | |
| Sowerby et al. | Development of nuclear techniques for on-line analysis in the coal industry | |
| CN110161058A (en) | Calorific value of coal on-line measurement system and its measurement method | |
| Kopteva et al. | Noncontact measurement method for assessing oil quality and quantity in main pipeline | |
| CN112444533B (en) | Method for detecting moisture content and element content in sintered material | |
| CN208795674U (en) | Calorific value of coal on-line measurement instrument | |
| CN101004392A (en) | Dynamic online device for measuring moisture of materiel, and measuring method | |
| CN201666882U (en) | Coal ash content measuring device suitable for steel belts | |
| CN206208793U (en) | A kind of X-ray ash content of coal detection means | |
| CN112557426A (en) | X-ray coal calorific value, ash content, moisture content and carbon measuring instrument and measuring method thereof | |
| CN112444532A (en) | Method for measuring total iron content in sintered material on line | |
| Tuo et al. | Research of online automatic titanium grade analyzer and method based on energy dispersive X-ray fluorescence technology | |
| US3222927A (en) | Continuous process for determining moisture content and heat of combustion of solid fuels | |
| RU2492454C1 (en) | Method of measurement of bulk density of geological material as part of rock mass and system for its implementation | |
| Widagdo | Development of a Density Gauge for Measuring Water and Mud Density based on a Radioactive Technique |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20160504 |
|
| RJ01 | Rejection of invention patent application after publication |