CN108614068A - A kind of burning chemistry chains process oxygen carrier oxidating reducing property prediction meanss and method - Google Patents
A kind of burning chemistry chains process oxygen carrier oxidating reducing property prediction meanss and method Download PDFInfo
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- CN108614068A CN108614068A CN201810382230.7A CN201810382230A CN108614068A CN 108614068 A CN108614068 A CN 108614068A CN 201810382230 A CN201810382230 A CN 201810382230A CN 108614068 A CN108614068 A CN 108614068A
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- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 title claims abstract description 68
- 229910052760 oxygen Inorganic materials 0.000 title claims abstract description 68
- 239000001301 oxygen Substances 0.000 title claims abstract description 68
- 238000000034 method Methods 0.000 title claims abstract description 43
- 230000008569 process Effects 0.000 title claims abstract description 31
- 230000001603 reducing effect Effects 0.000 title claims abstract description 27
- 230000005284 excitation Effects 0.000 claims abstract description 56
- 238000005259 measurement Methods 0.000 claims abstract description 41
- 238000012360 testing method Methods 0.000 claims abstract description 35
- 239000008187 granular material Substances 0.000 claims abstract description 29
- 230000003750 conditioning effect Effects 0.000 claims abstract description 21
- 230000002468 redox effect Effects 0.000 claims abstract description 15
- 238000005086 pumping Methods 0.000 claims abstract description 9
- 238000005070 sampling Methods 0.000 claims abstract description 6
- 238000004458 analytical method Methods 0.000 claims description 8
- 230000003321 amplification Effects 0.000 claims description 4
- 230000005611 electricity Effects 0.000 claims description 4
- 238000003199 nucleic acid amplification method Methods 0.000 claims description 4
- 238000006243 chemical reaction Methods 0.000 claims description 3
- 238000005457 optimization Methods 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 3
- 238000006479 redox reaction Methods 0.000 claims description 3
- 238000010276 construction Methods 0.000 claims description 2
- 238000012549 training Methods 0.000 claims description 2
- 230000000694 effects Effects 0.000 abstract description 2
- 238000011017 operating method Methods 0.000 abstract 1
- 230000004044 response Effects 0.000 description 8
- 238000013528 artificial neural network Methods 0.000 description 4
- 239000000243 solution Substances 0.000 description 4
- 238000002485 combustion reaction Methods 0.000 description 3
- 238000001514 detection method Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 239000000446 fuel Substances 0.000 description 3
- 239000002245 particle Substances 0.000 description 3
- 239000000126 substance Substances 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 238000012512 characterization method Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 239000002803 fossil fuel Substances 0.000 description 2
- 239000007787 solid Substances 0.000 description 2
- 238000003491 array Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 239000003245 coal Substances 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010790 dilution Methods 0.000 description 1
- 239000012895 dilution Substances 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 239000003344 environmental pollutant Substances 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000002068 genetic effect Effects 0.000 description 1
- 239000011521 glass Substances 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 238000000691 measurement method Methods 0.000 description 1
- 229910044991 metal oxide Inorganic materials 0.000 description 1
- 150000004706 metal oxides Chemical class 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000003062 neural network model Methods 0.000 description 1
- 230000033116 oxidation-reduction process Effects 0.000 description 1
- 231100000719 pollutant Toxicity 0.000 description 1
- 238000011897 real-time detection Methods 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
- 238000012706 support-vector machine Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N31/00—Investigating or analysing non-biological materials by the use of the chemical methods specified in the subgroup; Apparatus specially adapted for such methods
- G01N31/12—Investigating or analysing non-biological materials by the use of the chemical methods specified in the subgroup; Apparatus specially adapted for such methods using combustion
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
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Abstract
The present invention discloses a kind of burning chemistry chains process oxygen carrier oxidating reducing property prediction meanss comprising:Test container, magneto-resistor measurement module, excitation coil, driving circuit, multi-frequency excitation signal generator, signal conditioning circuit, data acquisition module and computer;The oxygen carrier granule for sampling is held inside test container;Magneto-resistor measurement module is arranged along the circumferential array at equal intervals of test container and is distributed on the outer surface of test container, and magneto-resistor measurement module is connect with signal conditioning circuit;Excitation coil is arranged in the both sides of test container, and driving circuit is connected with excitation coil;Multi-frequency excitation signal generator is connected with driving circuit, and pumping signal is provided for excitation coil;Signal conditioning circuit and multi-frequency excitation signal generator are connect with data acquisition module respectively;Data acquisition module is connect with computer, also discloses the operating method of the device.With non-intruding, at low cost, prediction effect is good, it can be achieved that oxygen carrier granule redox property detects in real time.
Description
Technical field
The present invention relates to solid particle detection technique fields, more particularly to based on a kind of burning chemistry chains process oxygen carrier
Redox property prediction meanss and method.
Background technology
With the fast development of China's economy and society, the finiteness of conventional energy resource and becoming increasingly conspicuous for environmental problem,
China is CO2Big country is discharged, the burning of wherein fossil fuel is to generate CO2Main source.According to the existing energy resource structure in China,
Fossil fuel based on coal will occupy leading position in a short time.Traditional combustion mode is directly connect using fuel with air
Burning is touched, combustion reaction temperature is high, easy tos produce the pollutants such as NOX.Simultaneously as CO after burning2By N2Dilution so that CO2's
Concentration is relatively low, increases CO2Separating difficulty.
Chemical chain burning technology is a kind of New combustion technique, has broken the fuel chemical energy release side of traditional flame burning
Fuel chemical energy is discharged process and CO by formula by the oxidation-reduction process of solid metal oxide (oxygen carrier)2Separation process
It integrates.During burning chemistry chains, oxygen carrier is to recycle.The wide variety of oxygen carrier, complicated component,
Redox property is the redox property for influencing the key factor of burning chemistry chains, therefore rapidly and accurately detecting oxygen carrier
It is very important.Existing measurement method mainly utilizes thermogravimetric analyzer, X-ray diffractometer, particle size analyzer and scanning electricity
The instruments such as sub- microscope, exist:Equipment is expensive, complicated for operation, and expends that the time is long, cannot achieve the quick of oxygen carrier bulk properties
Analysis and oxygen carrier performance such as advanced optimize at the apparent defect.
It is existing to solve therefore, it is desirable to have a kind of burning chemistry chains process oxygen carrier oxidating reducing property prediction meanss and method
There is the problem of technology.
Invention content
The purpose of the present invention is to provide a kind of burning chemistry chains process oxygen carrier oxidating reducing property prediction meanss and sides
Method, the oxygen carrier granule sample for the burning chemistry chains process differential responses process which obtains sampling, utilizes oxygen carrier oxygen
Change reducing property prediction meanss and obtain and establish the magneto-resistor measurement module output signal of corresponding reaction process particle, passes through simultaneously
Off-line analysis obtains the parameter of characterization oxygen carrier granule redox property, is established based on data above for predicting oxygen carrier oxygen
Change the neural network model of reducing property.It is defeated by obtaining magneto-resistor measurement module output signal for oxygen carrier granule to be measured
Enter the prediction result that neural network prediction model can be obtained the redox property of oxygen carrier to be measured.
The present invention proposes a kind of burning chemistry chains process oxygen carrier oxidating reducing property prediction meanss comprising:Test is held
Device, magneto-resistor measurement module, excitation coil, driving circuit, multi-frequency excitation signal generator, signal conditioning circuit, data acquisition
Module and computer;
The test container is in cylinder, and inside holds the oxygen carrier granule for sampling;
The magneto-resistor measurement module is made of multiple magneto-resistor measurement sensors and corresponding bucking coil, and the magnetic resistance is surveyed
Amount module is arranged along the circumferential array at equal intervals of the test container and is distributed on the outer surface of the test container, each
The magneto-resistor measurement sensor is connect with the signal conditioning circuit;
The excitation coil is separately positioned on the both sides of the test container, the driving circuit respectively with the excitation line
Circle connection;
The multi-frequency excitation signal generator is connected with the driving circuit, and pumping signal is provided for the excitation coil;
The signal conditioning circuit and the multi-frequency excitation signal generator are connect with the data acquisition module respectively;
The data acquisition module is connect with the computer.
Preferably, the magneto-resistor measurement module is to constitute sensor array by multiple magnetoresistive sensors and corresponding bucking coil
Row, the adjacent magnetoresistive sensor spacing control between 5mm to 20mm.
Preferably, the multiturn coil that the excitation coil is wrapped in by a pair on insulating concrete cylinder forms, to constitute
Helmholtz loop constructions, to form the magnetic field being evenly distributed in the spatial dimension of the test container.
Preferably, the multi-frequency excitation signal generator can generate the pumping signal of the different frequency of 100Hz to 100KHz,
The excitation coil is driven after driving circuit amplification.
Preferably, the faint output signal of the magneto-resistor measurement module is converted, is filtered by the signal conditioning circuit
Wave and amplification, to be acquired and to handle to signal.
Preferably, the data obtained is uploaded to computer by the data acquisition module, to oxygen carrier oxidating reducing property into
The analysis and processing of row next step.
A method of being applied to above-mentioned burning chemistry chains process oxygen carrier oxidating reducing property prediction meanss comprising:
(1) control multi-frequency excitation signal generator generates pumping signal, and excitation coil is driven after amplifying by driving circuit, holds to test
Oxygen carrier in device applies uniformly distributed magnetic field;(2) magneto-resistor measurement module is utilized to obtain the magnetic of differential responses process oxygen carrier granule
Resistance measuring module output signal is converted signal, filtered and is amplified, passes through data acquisition module by signal conditioning circuit
Block is acquired signal, and is transmitted to computer;(3) characterization oxygen carrier granule redox property is obtained by off-line analysis
Parameter --- redox reaction rate, the foundation for oxygen carrier oxidating reducing property prediction model provides training data;(4)
By extracting the characteristic parameter of magneto-resistor measurement module output signal, the prediction model based on machine learning algorithm is established, is passed through
To the parameter optimization of model, the precision of prediction of model is improved.
Beneficial effects of the present invention:
1) prediction meanss and method are simple in structure, at low cost, and prediction effect is good, it can be achieved that oxygen carrier granule redox
The real-time detection of performance;
2) detection device is non-intrusion measurement, only passes through the oxygen carrier granule redox property to known response process
Data establish prediction model, you can carry out Accurate Prediction to oxygen carrier granule redox property.
Description of the drawings
Fig. 1 is the structural schematic diagram of the burning chemistry chains process oxygen carrier oxidating reducing property prediction meanss of the application.
Fig. 2 is the magneto-resistor measurement module of the burning chemistry chains process oxygen carrier oxidating reducing property prediction meanss of the application
Schematic cross-section.
Reference numeral:1. test container;2. oxygen carrier granule;3. magneto-resistor measurement module;4. excitation coil;5. driving electricity
Road;6. multi-frequency excitation signal generator;7. signal conditioning circuit;8. data acquisition module;9. computer
Specific implementation mode
To keep the purpose, technical scheme and advantage that the present invention is implemented clearer, below in conjunction in the embodiment of the present invention
Attached drawing, technical solution in the embodiment of the present invention is further described in more detail.In the accompanying drawings, identical from beginning to end or class
As label indicate same or similar element or element with the same or similar functions.Described embodiment is the present invention
A part of the embodiment, instead of all the embodiments.The embodiments described below with reference to the accompanying drawings are exemplary, it is intended to use
It is of the invention in explaining, and be not considered as limiting the invention.Based on the embodiments of the present invention, ordinary skill people
The every other embodiment that member is obtained without creative efforts, shall fall within the protection scope of the present invention.
A kind of burning chemistry chains process oxygen carrier oxidating reducing property prediction meanss of present invention offer and method.
In an extensive embodiment:Burning chemistry chains process oxygen carrier oxidating reducing property prediction meanss include:Test
Container, magneto-resistor measurement module, excitation coil, driving circuit, multi-frequency excitation signal generator, signal conditioning circuit, data are adopted
Collect module and computer;The test container is in cylinder, and inside holds the oxygen carrier granule for sampling;The magneto-resistor is surveyed
Amount module is made of multiple magneto-resistor measurement sensors and corresponding bucking coil, and the magnetic resistance measurement module is arranged along described
The circumferential array at equal intervals of test container is distributed on the outer surface of the test container, each magneto-resistor measurement sensor
It is connect with the signal conditioning circuit;The excitation coil is separately positioned on the both sides of the test container, the driving circuit
It is connected respectively with the excitation coil;The multi-frequency excitation signal generator is connected with the driving circuit, is the excitation line
Circle provides pumping signal;The signal conditioning circuit and the multi-frequency excitation signal generator respectively with the data acquisition module
Connection;The data acquisition module is connect with the computer.Burning chemistry chains process oxygen carrier oxidating reducing property can be achieved
Prediction.
1-2 is described below the present invention below in conjunction with the accompanying drawings:
It is oxygen carrier oxidating reducing property prediction meanss theory structure schematic diagram as shown in Figure 1.In figure, in test container 1
The oxygen carrier granule 2 of sampling is filled with, magneto-resistor measurement module 3 is mounted on 1 outer wall of test container.Multi-frequency excitation signal generator
6 are connect by driving circuit 5 with excitation coil 4, and excitation coil is driven, and generate the alternation magnetic perpendicular to magnetoresistive sensor sensitive axes
.Oxygen carrier granule is due to certain conductivity or magnetic conductivity, the electricity caused by oxygen carrier granule in test container 1
Magnetic fluctuation is detected by magneto-resistor measurement module 3 and is delivered to signal conditioning circuit 7 and converted, filtered and amplified, and is utilized
The output signal of gained electromagnetic property data and multi-frequency excitation signal generator 6 is acquired and is uploaded by data acquisition module 8
To computer, the prediction to oxygen carrier oxidating reducing property is realized.
Wherein magneto-resistor measurement module constitutes sensor array by multiple magnetoresistive sensors, and each magnetoresistive sensor is along axis
To array is distributed in test container outer surface (as shown in Figure 2) in parallel to each other at equal intervals;Wherein, the axial direction of magnetoresistive sensor
Width should control between 8mm to 15mm, and the electrode distance being mutually parallel should control between 5mm to 20mm.Magneto-resistor
The number of magnetoresistive sensor and arrangement require accordingly to adjust with test container size according to accuracy of detection in measurement module.
As shown in Figure 1, multi-frequency excitation signal generator is connect with driving circuit, driving circuit is connect with excitation coil, is swashed
It encourages coil and is placed on test container both sides to generate the uniform initial magnetic field of the sensitive axes perpendicular to magnetoresistive sensor;Multi-frequency excitation
Signal generator is connect with data acquisition module, to obtain original excitation signal;Magneto-resistor measurement module is mounted on cylindrical survey
It trying on container outer wall, magneto-resistor measurement module is connect with signal conditioning circuit, and signal conditioning circuit is connected with data acquisition module,
Then data acquisition module is connected with computer.
By being sampled to the oxygen carrier granule in differential responses process, obtained using the method for off-line analysis different anti-
The redox property data for answering oxygen carrier granule under process, the magneto-resistor of oxygen carrier granule measures when in conjunction with differential responses process
Module output signal establishes neural network or SVM prediction model after extracting characteristic parameter.For redox property
Unknown oxygen carrier granule to be measured, after obtaining magneto-resistor measurement module output signal feature by this device, input is established
Neural network prediction model calculates the redox property that can get oxygen carrier granule to be measured.
In a specific implementation case, magneto-resistor measurement module 3 constitutes sensor array, magnetic by 8 magnetic resistance sensors
Resistance measuring module schematic cross-section as shown in Fig. 2, 8 magnetic resistance sensor arrays are distributed in the outer wall of test container 1,
In each magnetic resistance sensor be made of PCB circuit board, width 10mm, length 20mm, between two adjacent magneto-resistors away from
From for 5mm, test container size is diameter 40mm, the cylindrical glass container of high 50mm.The magneto-resistor of magneto-resistor measurement module
Equal high uniformities are mounted on position among test container.Each magneto-resistor is closely connect with a signal processing circuit, at signal
Reason circuit is amplified and filters to the output signal of magnetic resistance sensor, obtains amplified voltage signal.
The multiturn shim coil that excitation coil 4 is wrapped in by a pair on insulating concrete cylinder forms, internal diameter 78cm, outer diameter
82cm, spacing is 40cm between two coils.Excitation coil level is put, and shaft core position should be with the axle center of test container same
On straight line.Multi-frequency excitation signal generator 6 is connect with driving circuit 5, and driving circuit 5 is connect with excitation coil 4.Multi-frequency excitation is believed
Number generator generates the pumping signal of 100Hz to 100kHz, and driving circuit is according to sharp caused by multi-frequency excitation signal generator
Encourage uniform magnetic field of the signal driving coil generation perpendicular to magnetic resistance sensor sensitive axes.
Multi-frequency excitation signal generator 6 and signal conditioning circuit 7 are connect with data acquisition module, to obtain initial excitation
The output signal that magneto-resistor measurement module measures under signal and different driving frequencies.
By being sampled to the oxygen carrier granule in differential responses process, using the method for off-line analysis, such as thermogravimetric point
Analyzer etc. obtains redox property data --- the redox reaction rate of oxygen carrier granule under differential responses process.To not
With the oxygen carrier granule under reaction process the magneto-resistor of oxygen carrier granule under differential responses process is obtained using apparatus of the present invention
Measurement module output signal.To module output signal carry out feature extraction, choose representative characteristic parameter, as peak value,
Inflection point etc. establishes prediction model based on neural network or algorithm of support vector machine, genetic algorithm is selected to carry out model parameter
Optimization, improves the precision of prediction of model.For oxygen carrier granule to be measured, magneto-resistor measurement module is obtained also with the present apparatus
Output signal extracts the predicted value for combining prediction model that can obtain redox property after characteristic parameter.
It is last it is to be noted that:The above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations.To the greatest extent
Present invention has been described in detail with reference to the aforementioned embodiments for pipe, it will be understood by those of ordinary skill in the art that:It is still
Can be with technical scheme described in the above embodiments is modified, or which part technical characteristic is equally replaced
It changes;And these modifications or replacements, the essence for various embodiments of the present invention technical solution that it does not separate the essence of the corresponding technical solution
God and range.
Claims (7)
1. a kind of burning chemistry chains process oxygen carrier oxidating reducing property prediction meanss, which is characterized in that including:Test container,
Magneto-resistor measurement module, excitation coil, driving circuit, multi-frequency excitation signal generator, signal conditioning circuit, data acquisition module
And computer;
The test container is in cylinder, and inside holds the oxygen carrier granule for sampling;
The magneto-resistor measurement module is made of multiple magneto-resistor measurement sensors and corresponding bucking coil, and the magnetic resistance measures mould
Block is arranged along the circumferential array at equal intervals of the test container and is distributed on the outer surface of the test container, each described
Magneto-resistor measurement sensor is connect with the signal conditioning circuit;
The excitation coil is separately positioned on the both sides of the test container, and the driving circuit connects with the excitation coil respectively
It connects;
The multi-frequency excitation signal generator is connected with the driving circuit, and pumping signal is provided for the excitation coil;
The signal conditioning circuit and the multi-frequency excitation signal generator are connect with the data acquisition module respectively;
The data acquisition module is connect with the computer.
2. burning chemistry chains process oxygen carrier oxidating reducing property prediction meanss according to claim 1, it is characterised in that:
The magneto-resistor measurement module is to constitute sensor array, the adjacent magnetic by multiple magnetoresistive sensors and corresponding bucking coil
The control of sensor spacing is hindered between 5mm to 20mm.
3. burning chemistry chains process oxygen carrier oxidating reducing property prediction meanss according to claim 1, it is characterised in that:
The multiturn coil that the excitation coil is wrapped in by a pair on insulating concrete cylinder forms, to constitute Helmholtz loop constructions, to
The magnetic field being evenly distributed is formed in the spatial dimension of the test container.
4. burning chemistry chains process oxygen carrier oxidating reducing property prediction meanss according to claim 1, it is characterised in that:
The multi-frequency excitation signal generator can generate the pumping signal of the different frequency of 100Hz to 100KHz, by driving electricity
The excitation coil is driven after the amplification of road.
5. burning chemistry chains process oxygen carrier oxidating reducing property prediction meanss according to claim 1, it is characterised in that:
The faint output signal of the magneto-resistor measurement module is converted, filtered and is amplified by the signal conditioning circuit, so as to right
Signal is acquired and handles.
6. burning chemistry chains process oxygen carrier oxidating reducing property prediction meanss according to claim 1, it is characterised in that:
The data obtained is uploaded to computer by the data acquisition module, to oxygen carrier oxidating reducing property carry out next step analysis and
Processing.
7. a kind of burning chemistry chains process oxygen carrier oxidating reducing property prediction meanss applied to one of the claim 1-6
Method, it is characterised in that including:(1) control multi-frequency excitation signal generator generates pumping signal, is amplified by driving circuit
After drive excitation coil, uniformly distributed magnetic field is applied to the oxygen carrier in test container;(2) magneto-resistor measurement module is utilized to obtain difference
The magneto-resistor measurement module output signal of reaction process oxygen carrier granule, converts signal by signal conditioning circuit, is filtered
Wave and amplification are acquired signal by data acquisition module, and are transmitted to computer;(3) table is obtained by off-line analysis
Parameter --- the redox reaction rate for levying oxygen carrier granule redox property predicts mould for oxygen carrier oxidating reducing property
The foundation of type provides training data;(4) it by extracting the characteristic parameter of magneto-resistor measurement module output signal, establishes and is based on machine
The prediction model of learning algorithm improves the precision of prediction of model by the parameter optimization to model.
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Cited By (1)
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WO2017111614A1 (en) * | 2015-12-22 | 2017-06-29 | Institutt For Energiteknikk | Sustainable oxygen carriers for chemical looping combustion with oxygen uncoupling and methods for their manufacture |
KR20180013283A (en) * | 2016-07-29 | 2018-02-07 | 한국전력공사 | Oxide oxygen carrier, method for manufacturing thereof, and chemical looping combustion using the oxide oxygen carrier |
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Application publication date: 20181002 |