CN109115703A - A kind of silo batch coal characteristic on-line measuring device, method and system - Google Patents
A kind of silo batch coal characteristic on-line measuring device, method and system Download PDFInfo
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- CN109115703A CN109115703A CN201810990812.3A CN201810990812A CN109115703A CN 109115703 A CN109115703 A CN 109115703A CN 201810990812 A CN201810990812 A CN 201810990812A CN 109115703 A CN109115703 A CN 109115703A
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Abstract
The present invention provides a kind of silo batch coal characteristic on-line measuring device, method and system, and it further includes with lower unit: cabinet, measuring cylinder, guide rail that wherein device, which includes at least one feed belt and coal laser detection analytical unit,；The cabinet is mounted on the guide rail, can be moved freely on guide rail；The measuring cylinder is mounted on the lower section of cabinet；The starting point of the feed belt is located in the underface of the silo.The present invention detects the fire coal for exporting from silo out by moveable laser detection equipment, quickly and accurately analyze coal proportion, and silo discharging calorific value prediction model can be established, basic data support is provided for the formulation of dispatching planning, and can be more advanced bonded boiler operation formulate and mix with mixing burning scheme, it realizes that fining is mixed to match, it is conscientiously that boiler combustion provides strong guarantee by whole fuel intelligence managing and control system, promote the promotion of fuel management level, makes significant contribution for energy-saving and emission-reduction.
Description
Technical field
The present invention relates to fuel management field, especially a kind of silo batch coal characteristic on-line measuring device, method and system.
Background technique
Traditional coal characteristic index analysis method is to carry out off-line analysis to after raw coal sampling, from sampling, sample preparation to inspection
It tests quoting for result and generally requires several hours, testing result seriously lags behind boiler combustion, is unfavorable for the real-time control of unit
It is run with optimization, while electric set electric supply coal consumption data being made to be difficult to reach the requirement of real-time.
The coal quality rapid analysis method that recent domestic grows up has x-ray fluorescence technology and neutron activation analysis skill
Art etc., however x-ray fluorescence technology is difficult to analyze low atomic number elements, the device is complicated and there is radiation for neutron activation analysis technology
The problem of contact scar, limits it in the application in coal quality on-line analysis field.
Application No. is the patents of invention of CN106680019A to disclose a kind of online coal property test analysis system of laser, including
Pass through control cable and the sequentially connected automatic coal sampling device of conveyor belt, manipulator, the continuous tabletting sample preparation device of coal
With coal laser detection analytical equipment, conveyor belt is by the coal dust of automatic coal sampling device and the continuous tabletting sample preparation device of coal
Sample storehouse is connected；The continuous tabletting sample preparation device of coal includes tabletting sample preparation disk, and the top of tabletting sample preparation disk is equipped with fluid head, filling
Mouthful；Tabletting sample preparation disk is equipped with pulverized coal sample feed station and loads station, and coal dust piece ejection station is arranged below in tabletting sample preparation disk,
Coal laser detection analytical equipment includes three-dimensional point position digital control platform, is connected with running gear on the digital control platform of three-dimensional point position,
The top of three-dimensional point position digital control platform is equipped with optical focusing element, pulse laser and laser detection analyzer.Although the system
It is able to use laser and on-line checking analysis is carried out to coal quality, it is disadvantageous in that 1) needing to carry out coal sample preparation, increase inspection
Survey the time；2) detection device cannot adjust, and can only fix in one position；3) each list can not be pushed away using testing result is counter
The ratio of batch fire coal.
Summary of the invention
To solve the above-mentioned problems, a kind of silo provided by the invention batch coal characteristic on-line measuring device, method and system,
The fire coal for exporting out from silo is detected by moveable laser detection equipment, quickly and accurately analyzes coal-fired ratio
Example, and silo discharging calorific value prediction model can be established, basic data support is provided for the formulation of dispatching planning, and can be more advanced
Bonded boiler operation formulate and mix with burning scheme is mixed, realize that fining is mixed and match, whole fuel intelligence managing and control system is practical
It is that boiler combustion provides strong guarantee, promotes the promotion of fuel management level, makes significant contribution for energy-saving and emission-reduction.
The first aspect of the present invention proposes a kind of silo batch coal characteristic on-line measuring device, including at least one transmission skin
Band and coal laser detection analytical unit, further include with lower unit:
Cabinet, measuring cylinder, guide rail；
The cabinet is mounted on the guide rail, can be moved freely on guide rail；
The measuring cylinder is mounted on the lower section of cabinet；
The starting point of the feed belt is located in the underface of the silo.
Preferably, the coal laser detection analytical unit includes that spectrometer, analysis and Control subelement, Laser emission are set
Standby, eyeglass, auto-focusing subelement and lens set receive optical element.
Be preferably in the above scheme, the spectrometer, the analysis and Control subelement, the laser transmitting set and
The eyeglass is mounted in the cabinet.
Be preferably in the above scheme, the auto-focusing subelement and the lens set receive optical element be mounted on it is described
In measuring cylinder.
It is preferably in the above scheme, the spectrometer receives optical element with the lens set by conducting wire and is connected, described
Spectrometer is connected by conducting wire with the analysis and Control subelement, and the analysis and Control subelement is sent out by conducting wire and the laser
Jet device is connected, and the auto-focusing subelement is connected by conducting wire with the analysis and Control subelement.
It is preferably in the above scheme, the auto-focusing subelement is imaged by regulation light source hot spot to control motor
Focusing mechanism operation is driven, realizes laser in the fast automatic focusing in different flatness layer coal flow tables face.
Be preferably in the above scheme, the analysis and Control subelement include coal characteristic index quantification analysis module,
Laser auto-focusing control module and data processing analysis module.
It is preferably in the above scheme, the coal characteristic index quantification analysis module is for realizing coal quality multi objective
It detects simultaneously and/or quickly.
It is preferably in the above scheme, the laser auto-focusing control module is according to the focusing information realization pair of feedback
The control of the auto-focusing subelement, is rapidly completed focusing.
Be preferably in the above scheme, the Data Management Analysis module for realizing spectroscopic data preprocessing module,
Data communication between the coal characteristic index quantification analysis module and coal quality database.
Be preferably in the above scheme, the Data Management Analysis module be also used to combine measured data, extension and/or
Improve the coal quality database.
The second aspect of the present invention proposes a kind of silo batch coal characteristic online test method, including by the fire coal in silo
It is evenly distributed on feed belt, further comprising the steps of:
Scanning step: the fire coal on the feed belt is scanned using coal laser detection analytical unit and generates coal-fired light
Spectrum；
Analytical procedure: it is inferred to fire by distinguishing the corresponding different coals quality of different spectrum and collected different spectrum ratios
Coal class and mixed proportion；
It is counter to push away step: to release single coal ratio in each single batch coal according to the mixed proportion is counter；
The scanning step and the analytical procedure are completed by silo batch coal characteristic on-line measuring device.
Preferably, the analytical procedure further includes that collected plasma emission spectroscopy signal is sent into spectrometer point
Spectral signal is converted into digital signal by light.
It being preferably in the above scheme, the analytical procedure further includes carrying out qualitative research by line wavelength, in conjunction with
Spectral characteristic database obtains the element species that sample includes.
It is preferably in the above scheme, the analytical procedure further includes that can realize quantitative analysis by the intensity of spectral line, is obtained
To concentration of element.
It is preferably in the above scheme, the calculation method of the list coal ratio is to be mixed after n kind list coal is mixed
Coal obtains the phosphorus content C of mixed coal according to the phosphorus content C of single coal and hydrogen number HaAnd Ha, calculation formula is as follows:
Wherein, X1、X2、…XnFor the mixing ratio of various single coals, X1+X2+…+Xn=1.
It is preferably in the above scheme, the anti-step that pushes away further includes the coal output for calculating each batch coal, is provided each
Batch of coal coal amount data.
The third aspect of the present invention proposes a kind of silo batch coal characteristic on-line detecting system, comprises the following modules:
Silo batch coal characteristic on-line measuring device, coal quality database, spectral characteristic database and data service center.
Preferably, the coal quality database is used to save each batch fire coal type and mixed proportion, institute into silo
It states each batch fire coal type and mixed proportion that silo batch coal characteristic on-line measuring device detects and each approval is coal-fired produces coal
Amount.
It is preferably in the above scheme, the silo batch coal characteristic on-line measuring device combination measured data extends, is complete
It is apt to the coal quality database.
It is preferably in the above scheme, the spectral characteristic database is used to store the light of various single coals and/or mixed coal
Spectrum information.
It is preferably in the above scheme, the silo batch coal characteristic on-line measuring device is according to the spectral characteristic
Data in database judge each batch fire coal type and mixed proportion.
It is preferably in the above scheme, the data service center is used to be examined online according to the silo batch coal characteristic
It surveys the data back that device provides and calculates single coal ratio in each single batch mixed coal.
It is preferably in the above scheme, the calculation method of the list coal ratio is to be mixed after n kind list coal is mixed
Coal obtains the phosphorus content C of mixed coal according to the phosphorus content C of single coal and hydrogen number HaAnd Ha, calculation formula is as follows:
Wherein, X1、X2、…XnFor the mixing ratio of various single coals, X1+X2+…+Xn=1.
The present invention provides a kind of silo batch coal characteristic on-line measuring devices, method and system, and it is mixed to be applied to silo discharging
The on-line measurement of coal and its mixed proportion in coal can be realized original position without sampling to the mobile coal seam of different flatness
On-line checking, can effective solution existing laser online measuring technique monitoring data inaccuracy, the larger problem of error.
Detailed description of the invention
Fig. 1 is the module map of a preferred embodiment of silo according to the invention batch coal characteristic on-line measuring device.
Fig. 2 is the flow chart of a preferred embodiment of silo according to the invention batch coal characteristic online test method.
Fig. 3 is the module map of a preferred embodiment of silo according to the invention batch coal characteristic on-line detecting system.
Fig. 4 is the installation diagram of another preferred embodiment of silo according to the invention batch coal characteristic on-line measuring device.
Fig. 4 a is the structure chart of the embodiment as shown in Figure 3 of silo according to the invention batch coal characteristic on-line measuring device.
Fig. 4 b is the laser work of the embodiment as shown in Figure 3 of silo according to the invention batch coal characteristic on-line measuring device
Schematic diagram.
Fig. 4 c is the laser spectrum of the embodiment as shown in Figure 3 of silo according to the invention batch coal characteristic on-line measuring device
Figure.
Fig. 5 be silo according to the invention batch coal characteristic on-line measuring device auto-focusing and laser measurement optical path one
The schematic diagram of embodiment.
Fig. 6 is the coal dust plasma of another preferred embodiment of silo according to the invention batch coal characteristic online test method
Body spectrogram.
Specific embodiment
Embodiment 1
As shown in Figure 1, silo batch coal characteristic on-line measuring device includes guide rail 100, cabinet 110, coal laser detection point
Analyse unit 120, measuring cylinder 130 and at least one feed belt 140.
There is guide groove on guide rail 100, is moved on guide rail for cabinet 110.
Cabinet 110 is mounted on guide rail 100, can be moved freely on guide rail.
Coal laser detection analytical unit include spectrometer 121, analysis and Control subelement 122, laser transmitting set 123,
Eyeglass 124, auto-focusing subelement 125 and lens set receive optical element 126.Spectrometer, spectrometer 121, analysis and Control subelement
122, laser transmitting set 123 and eyeglass 124 are mounted in cabinet 110, and auto-focusing subelement 125 and lens set receive optical element
126 are mounted in measuring cylinder 130.Spectrometer 121 receives optical element 126 with lens set by conducting wire and is connected, and spectrometer 121 is by leading
Line is connected with analysis and Control subelement 122, and analysis and Control subelement 122 is connected by conducting wire with the laser transmitting set 123,
Auto-focusing subelement 125 is connected by conducting wire with analysis and Control subelement 122.Auto-focusing subelement 125 passes through calibration light
Hot spot imaging in source realizes laser in the fast automatic of different flatness layer coal flow tables face to control the operation of motor driven focusing mechanism
Focusing.
Analysis and Control subelement 122 include coal characteristic index quantification analysis module, laser auto-focusing control module and
Data Management Analysis module；Coal characteristic index quantification analysis module for realizing while coal quality multi objective and/or quickly inspection
It surveys；Control of the laser auto-focusing control module according to the focusing information realization of feedback to the auto-focusing subelement, quickly
Complete focusing；Data Management Analysis module is analyzed for realizing spectroscopic data preprocessing module, the coal characteristic index quantification
Data communication between module and coal quality database extends and/or improves the coal quality database for combining measured data.
Measuring cylinder 130 is mounted on the lower section of cabinet 110, and is fixed on cabinet 110, is equipped with outside measuring cylinder 130
Measuring cylinder protective cover.
The starting point of feed belt 140 is located in the underface of silo, and cabinet 110 can be by adjusting, just by measuring cylinder 130
Against feed belt 140.
Embodiment 2
11, as shown in Fig. 2, executing step 200, the fire coal in silo is evenly distributed on feed belt.Execute step
210, measuring cylinder is fought into feed belt using auto-focusing subelement, and adjust focal length, is analyzed using coal laser detection
Fire coal on feed belt described in unit scan simultaneously generates coal-fired spectrum.Step 220 is executed, it is corresponding by distinguishing different spectrum
Different coals quality and collected different spectrum ratios are inferred to coal-fired type and mixed proportion.It specifically includes: will be collected etc.
Ionomer emission spectrum signal is sent into spectrometer light splitting, and spectral signal is converted into digital signal；Determined by line wavelength
Journal of Sex Research obtains the element species that sample includes in conjunction with spectral characteristic database；Quantitative analysis can be realized by the intensity of spectral line,
Obtain concentration of element.Step 230 is executed, releases single coal ratio in each single batch coal according to the mixed proportion is counter, and calculate
The coal output of each batch coal provides each batch coal coal amount data.The calculation method of single coal ratio are as follows: after n kind list coal is mixed
Mixed coal is obtained, the phosphorus content C of mixed coal is obtained according to the phosphorus content C of single coal and hydrogen number HaAnd Ha, calculation formula is as follows:
Wherein, X1、X2、…XnFor the mixing ratio of various single coals, X1+X2+…+Xn=1
Embodiment 3
As shown in figure 3, silo batch coal characteristic on-line detecting system includes: silo batch coal characteristic on-line measuring device 300, coal
Matter database 310, spectral characteristic database 320 and data service center 330.
Silo batch coal characteristic on-line measuring device 300 is used to obtain the upper mixed coal data of feed belt, and combines actual measurement
Data extend, improve the coal quality database 310, judge coal-fired kind of each batch according to the data in spectral characteristic database 320
Class and mixed proportion.
Coal quality database 310 is used to save each batch fire coal type and mixed proportion into silo, the silo batch coal
The coal-fired coal output of each batch fire coal type and mixed proportion and each approval that characteristic on-line detection device detects.
Spectral characteristic database 320 is in the spectral information for storing various single coals and/or mixed coal.
Data service center 330 is used to be calculated according to the data back that the silo batch coal characteristic on-line measuring device provides
Single coal ratio in each single batch mixed coal, the calculation method of single coal ratio is to obtain mixed coal after n kind list coal is mixed, according to single coal
Phosphorus content C and hydrogen number H obtain the phosphorus content C of mixed coalaAnd Ha, calculation formula is as follows:
Wherein, X1、X2、…XnFor the mixing ratio of various single coals, X1+X2+…+Xn=1.
Embodiment 4
As shown in figure 4, batch coal characteristic on-line measuring device has two guide rails 400, guide rail can be also possible to for linear type
Shaped form, cabinet 410 are mounted on guide rail 400, can be free to slide on guide rail 400 according to control instruction.Measuring cylinder 420 is solid
It is scheduled on the lower section of cabinet 410, has measurement barrel cover 430 to protect on the outside of measuring cylinder 420.It is coal conveyer belt immediately below measuring cylinder
440, inductor is installed in measurement barrel cover 430, can sense the position of coal conveyer belt 440.As shown in fig. 4 a, coal swashs
Light detection analytical unit includes spectrometer 411, control module 412, laser 413, reflecting optics 414, lens set receipts optical element
415, wherein spectrometer 411, control module 412, laser 413 and reflecting optics 414 are mounted in cabinet 410, and lens set is received
Optical element 415 is mounted in measuring cylinder 420.Laser 413 in cabinet 410 launches laser beam 416, is radiated at radiation eyeglass
On 414, refraction downwards, is radiated on the coal-fired layer on coal conveyer belt 440.Pulse laser is generated using laser, is passed through optical path
Sample surfaces are focused on by focusing lens after passing, rapid heat temperature raising sample leads to Albation melting, and when the energy of sample absorption
More than gasification is generated after sample gasification latent heat, the sample under vaporized state absorbs incident photon, and ionization generates a large amount of freely electricity
Son.The breakdown generation plasma of sample when degree of ionization is greater than 0.1%.When plasma is cooling, due to excited atom, divide
Son, ion transit to low-lying level from high level, give off spectral signal.Optical fiber will be sent after plasma emission spectroscopy signal acquisition
Enter spectrometer light splitting, then spectral signal is converted into digital signal through detector, is sent into computer disposal.It can by line wavelength
Qualitative research is carried out, the element species that sample includes are obtained, and quantitative analysis can be realized by the intensity of spectral line, it is dense to obtain element
Degree, technical principle is as shown in Figure 4 b, and emission spectrum is as illustrated in fig. 4 c.
Embodiment 5
Batch coal characteristic on-line measuring device is installed on silo and produces coal above A, B two-way coal conveyer belt after belt roller picker.
Whole device can move on guide rail, and by coupling with coal conveyer belt start-stop control system, system is opened according to coal conveyer belt
Dynamic signal automatically detects the coal seam on operating belt, realizes the coal under two coal conveyer belts at times operating condition
Stream detection.Automatic focusing module and optical measurement module are mounted in measuring cylinder, and analysis and Control module is mounted in cabinet.System
The field working conditions such as slabby coal stream thickness, granularity, mechanical strength be uneven are adapted to, laser plasma is rapidly completed and swashs
The maintenance, more of impaired module can be rapidly completed in hair, spectrum data gathering and analysis, and package unit uses modularized design
It changes, shortens the maintenance time of instrument.
The features such as automatic focusing module is directed to the thickness of on-site test slabby coal stream, granularity is uneven proposes.It can be used
Actively emitting light wave and combines mode with digital image processing techniques, the optical signal of coal stream reflection is received by photosensitive CCD element, and
Input computer.It is imaged by regulation light source hot spot to control the operation of motor driven focusing mechanism, realizes laser different smooth
Spend the fast automatic focusing in layer coal flow table face.
Optical measurement module with laser induced breakdown spectroscopy (LIBS) be theoretical basis, by spectrometer, laser, light
Component etc. is learned to constitute.Spectra collection is using wide spectrum (wave-length coverage covering is ultraviolet to arrive near-infrared), high-resolution fiber spectrum
Instrument, wave-length coverage covers LIBS technology common spectral region in analysis of coal nature characteristics, and can reach on-line checking and be wanted
The spectral resolution asked.The plasma light spectrum signal generated when measurement using light mode is received in the same direction, through fiber coupler, by light
Fibre is transferred to spectrometer.Laser is using high-energy N d:YAG pulse laser, it can be achieved that the tune of pulse frequency, laser energy
Section meets for energy and the demand measured for a long time needed for slabby coal stream on-line checking.Optical measurement module and automatic right
Burnt module is integrated as shown in Figure 5.
A set of coal characteristic index quantification analysis model made to measure for Subscriber Unit is integrated in analysis controlling unit, it is real
(user is optional), the quickly detection simultaneously of existing coal quality multi objective；A set of laser auto-focusing control program is integrated, it can be according to feedback
Control of the focusing information realization to mechanical part, is rapidly completed focusing.A set of Data Management Analysis unit is integrated, realizes spectrum number
Data communication between Data preprocess model, Quantitative Analysis Model and coal quality database extends in combination with measured data, is complete
Kind coal quality database.Testing result is stored in a hard disk in the form of the data sheet of fixed format, and can by data/address bus and
Wireless communication mode carries out data transmission, and realizes the interaction of this system and coal fired power plant fuel management system.
Embodiment 6
By experimental study, key measurement parameter (including delay time, sampling gate-width, pulsed laser energy, Jiao Ping are grasped
Face position and spectrum average time etc.) to the affecting laws of coal analysis, specify the selection principle and range of preferable experiment parameter.
In terms of sample characteristics of for example, more complete experimental study is carried out to the coal quality of lignite, bituminous coal and anthracite three categories, analyzes different coals
The influence of confrontation component measurement, the method for forming different classes of coal quality measured portions analysis model building.In quantitative analysis sum number
According to processing aspect, for the most popular bituminous coal in coal-burning power plant and lignite, pass through matrix correction and different basis weights analysis method
Comparative study, solve the problems, such as LIBS measurement coal adaptability.
In addition, being directed to pulverized coal particle stream and Dual-Phrase Distribution of Gas olid technical characterstic measured directly, Develop Data identifies and optimization
Application study, develop effective data and identify and optimization method.
Typical coal dust plasma spectrometry is as shown in fig. 6, denote main amount and secondary amounts member in coal according to NIST database
The analysis spectral line of element, and most there is principle to determine the feature finally analyzed for each element according to spectral line selection principle and quantitative analysis
Spectral line.
Using the spectral characteristic of different coal quality fire coals, using coal-fired Belt Conveying measurement pattern, pass through measurement zone in fire coal
When domain, measuring device acquires the coal-fired spectrum of coal flow section in real time, by distinguishing the corresponding different coals quality of different spectrum and acquisition
The different spectrum ratios arrived infer the coal-fired type and mixed proportion by acquisition section.
In conjunction with the belt balance weighing data installed on coal conveyer belt and then show that reality goes out the weight of various quality fire coals.
For a better understanding of the present invention, the above combination specific embodiments of the present invention are described in detail, but are not
Limitation of the present invention.Any simple modification made to the above embodiment according to the technical essence of the invention, still belongs to
In the range of technical solution of the present invention.In this specification the highlights of each of the examples are it is different from other embodiments it
Locate, the same or similar part cross-reference between each embodiment.For system embodiments, due to itself and method
Embodiment corresponds to substantially, so being described relatively simple, the relevent part can refer to the partial explaination of embodiments of method.
Claims (10)
1. a kind of silo batch coal characteristic on-line measuring device, including at least one feed belt and coal laser detection analysis list
Member, which is characterized in that further include with lower unit:
Cabinet, measuring cylinder, guide rail；
The cabinet is mounted on the guide rail, can be moved freely on guide rail；
The measuring cylinder is mounted on the lower section of cabinet；
The starting point of the feed belt is located in the underface of the silo.
2. silo as described in claim 1 batch coal characteristic on-line measuring device, which is characterized in that the coal laser detection point
Analysis unit includes that spectrometer, analysis and Control subelement, laser transmitting set, eyeglass, auto-focusing subelement and lens set receive light
Element.
3. silo as claimed in claim 2 batch coal characteristic on-line measuring device, which is characterized in that the spectrometer, described point
Analysis control subelement, the laser transmitting set and the eyeglass are mounted in the cabinet.
4. silo as claimed in claim 3 batch coal characteristic on-line measuring device, which is characterized in that the auto-focusing subelement
Optical element is received with the lens set to be mounted in the measuring cylinder.
5. silo as claimed in claim 4 batch coal characteristic on-line measuring device, which is characterized in that the spectrometer passes through conducting wire
It receives optical element with the lens set to be connected, the spectrometer is connected by conducting wire with the analysis and Control subelement, the analysis
Control subelement is connected by conducting wire with the laser transmitting set, and the auto-focusing subelement passes through conducting wire and the analysis
Subelement is controlled to be connected.
6. silo as claimed in claim 5 batch coal characteristic on-line measuring device, which is characterized in that the auto-focusing subelement
It is imaged by regulation light source hot spot to control the operation of motor driven focusing mechanism, realizes laser in different flatness layer coal flow tables face
Fast automatic focusing.
7. silo as claimed in claim 6 batch coal characteristic on-line measuring device, which is characterized in that the analysis and Control subelement
Including coal characteristic index quantification analysis module, laser auto-focusing control module and data processing analysis module.
8. silo as claimed in claim 7 batch coal characteristic on-line measuring device, which is characterized in that the coal characteristic index is fixed
Measure analysis module for realizing while coal quality multi objective and/or quickly detection.
9. silo as claimed in claim 7 batch coal characteristic on-line measuring device, which is characterized in that the laser auto-focusing control
Control of the molding root tuber according to the focusing information realization of feedback to the auto-focusing subelement, is rapidly completed focusing.
10. a kind of silo batch coal characteristic online test method, including the fire coal in silo is evenly distributed on feed belt,
It is characterized in that, further comprising the steps of:
Scanning step: the fire coal on the feed belt is scanned using coal laser detection analytical unit and generates coal-fired spectrum；
Analytical procedure: coal-fired kind is inferred to by distinguishing the corresponding different coals quality of different spectrum and collected different spectrum ratios
Class and mixed proportion；
It is counter to push away step: to release single coal ratio in each single batch coal according to the mixed proportion is counter；
The scanning step and the analytical procedure are completed by silo described in claim 1 batch coal characteristic on-line measuring device.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109901192A (en) * | 2019-03-18 | 2019-06-18 | 西安科技大学 | Coal stream detection system and its detection method based on laser scanning imaging |
| CN111896544A (en) * | 2020-08-05 | 2020-11-06 | 合肥约翰芬雷矿山装备有限公司 | Online combustion value detection method and detection device for coal dressing |
| CN113392519A (en) * | 2021-06-10 | 2021-09-14 | 西安热工研究院有限公司 | Device and method for calculating blending ratio of three kinds of coal as fired in real time |
| CN113433114A (en) * | 2021-06-07 | 2021-09-24 | 安徽华电六安电厂有限公司 | Laser detection visualization device for coal quality of as-fired coal |
| CN114515703A (en) * | 2022-03-01 | 2022-05-20 | 安徽理工大学 | Multifunctional integrated coal gangue sorting system |
| CN113433114B (en) * | 2021-06-07 | 2024-06-04 | 安徽华电六安电厂有限公司 | Laser detection visualization device for coal quality of coal entering furnace |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN203732444U (en) * | 2013-11-26 | 2014-07-23 | 中国科学院广州地球化学研究所 | Laser-induced breakdown spectroscopy analyzer |
| CN105067568A (en) * | 2015-07-16 | 2015-11-18 | 河南科技大学 | Automatic focusing laser-induced breakdown spectroscopy detection system and detection method thereof |
| US9678015B2 (en) * | 2014-09-26 | 2017-06-13 | Frito-Lay North America, Inc. | Method for elemental analysis of a snack food product in a dynamic production line |
| CN106872479A (en) * | 2017-02-08 | 2017-06-20 | 中国神华能源股份有限公司 | Coal property test device |
| CN107389608A (en) * | 2017-07-13 | 2017-11-24 | 山东华唐环保科技有限公司 | Application on site of the LIBS laser-induced spectral analysis in coal property test |
| CN206960355U (en) * | 2017-07-13 | 2018-02-02 | 山东华唐环保科技有限公司 | The ature of coal online detection instrument of coal in power plant ash fusion point parameter |
-
2018
- 2018-08-28 CN CN201810990812.3A patent/CN109115703A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN203732444U (en) * | 2013-11-26 | 2014-07-23 | 中国科学院广州地球化学研究所 | Laser-induced breakdown spectroscopy analyzer |
| US9678015B2 (en) * | 2014-09-26 | 2017-06-13 | Frito-Lay North America, Inc. | Method for elemental analysis of a snack food product in a dynamic production line |
| CN105067568A (en) * | 2015-07-16 | 2015-11-18 | 河南科技大学 | Automatic focusing laser-induced breakdown spectroscopy detection system and detection method thereof |
| CN106872479A (en) * | 2017-02-08 | 2017-06-20 | 中国神华能源股份有限公司 | Coal property test device |
| CN107389608A (en) * | 2017-07-13 | 2017-11-24 | 山东华唐环保科技有限公司 | Application on site of the LIBS laser-induced spectral analysis in coal property test |
| CN206960355U (en) * | 2017-07-13 | 2018-02-02 | 山东华唐环保科技有限公司 | The ature of coal online detection instrument of coal in power plant ash fusion point parameter |
Non-Patent Citations (3)
| Title |
|---|
| M.GAFT,I.SAPIR-SOFER,H.MODIANO,R.STANA: "Laser induced breakdown spectroscopy for bulk minerals online analyses", 《SPECTROCHIMICA ACTA PART B:ATOMIC SPECTROSCOPY》 * |
| 樊炬: "基于激光诱导击穿光谱的煤质工业分析研究", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
| 程光铖 等: "《计算机应用基础（化学类专业用）》", 30 April 1987, 高等教育出版社 * |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109901192A (en) * | 2019-03-18 | 2019-06-18 | 西安科技大学 | Coal stream detection system and its detection method based on laser scanning imaging |
| CN111896544A (en) * | 2020-08-05 | 2020-11-06 | 合肥约翰芬雷矿山装备有限公司 | Online combustion value detection method and detection device for coal dressing |
| CN113433114A (en) * | 2021-06-07 | 2021-09-24 | 安徽华电六安电厂有限公司 | Laser detection visualization device for coal quality of as-fired coal |
| CN113433114B (en) * | 2021-06-07 | 2024-06-04 | 安徽华电六安电厂有限公司 | Laser detection visualization device for coal quality of coal entering furnace |
| CN113392519A (en) * | 2021-06-10 | 2021-09-14 | 西安热工研究院有限公司 | Device and method for calculating blending ratio of three kinds of coal as fired in real time |
| CN114515703A (en) * | 2022-03-01 | 2022-05-20 | 安徽理工大学 | Multifunctional integrated coal gangue sorting system |
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