CN201811207U - High temperature corrosion state diagnosing and preventing system for water wall of boiler - Google Patents
High temperature corrosion state diagnosing and preventing system for water wall of boiler Download PDFInfo
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- CN201811207U CN201811207U CN201020253522XU CN201020253522U CN201811207U CN 201811207 U CN201811207 U CN 201811207U CN 201020253522X U CN201020253522X U CN 201020253522XU CN 201020253522 U CN201020253522 U CN 201020253522U CN 201811207 U CN201811207 U CN 201811207U
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- 230000007797 corrosion Effects 0.000 title claims abstract description 52
- 238000005260 corrosion Methods 0.000 title claims abstract description 52
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 19
- 239000003245 coal Substances 0.000 claims abstract description 68
- 238000004458 analytical method Methods 0.000 claims abstract description 52
- 238000005070 sampling Methods 0.000 claims abstract description 26
- 238000012545 processing Methods 0.000 claims abstract description 16
- 238000001914 filtration Methods 0.000 claims abstract description 5
- 238000001816 cooling Methods 0.000 claims description 24
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 claims description 17
- 239000003546 flue gas Substances 0.000 claims description 15
- 238000000605 extraction Methods 0.000 claims description 9
- 230000002265 prevention Effects 0.000 claims description 6
- 239000000779 smoke Substances 0.000 claims description 6
- 239000000470 constituent Substances 0.000 claims description 5
- 238000003786 synthesis reaction Methods 0.000 claims description 5
- 230000001105 regulatory effect Effects 0.000 claims 1
- 239000003517 fume Substances 0.000 abstract description 6
- 230000002969 morbid Effects 0.000 abstract description 3
- 238000006243 chemical reaction Methods 0.000 abstract description 2
- 239000000284 extract Substances 0.000 abstract description 2
- 239000000843 powder Substances 0.000 abstract 3
- 238000000034 method Methods 0.000 description 15
- 229910002091 carbon monoxide Inorganic materials 0.000 description 8
- 238000003745 diagnosis Methods 0.000 description 7
- 238000013461 design Methods 0.000 description 6
- 229910052739 hydrogen Inorganic materials 0.000 description 6
- NINIDFKCEFEMDL-UHFFFAOYSA-N Sulfur Chemical compound [S] NINIDFKCEFEMDL-UHFFFAOYSA-N 0.000 description 5
- 239000005864 Sulphur Substances 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 4
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 3
- 239000000446 fuel Substances 0.000 description 3
- 230000004927 fusion Effects 0.000 description 3
- 229910052760 oxygen Inorganic materials 0.000 description 3
- 239000001301 oxygen Substances 0.000 description 3
- RWSOTUBLDIXVET-UHFFFAOYSA-N Dihydrogen sulfide Chemical compound S RWSOTUBLDIXVET-UHFFFAOYSA-N 0.000 description 2
- 229910052783 alkali metal Inorganic materials 0.000 description 2
- 238000013459 approach Methods 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 238000002485 combustion reaction Methods 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 229910000037 hydrogen sulfide Inorganic materials 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 239000000203 mixture Substances 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 230000003442 weekly effect Effects 0.000 description 2
- -1 Alkali metal salt Chemical class 0.000 description 1
- 241001269238 Data Species 0.000 description 1
- UCKMPCXJQFINFW-UHFFFAOYSA-N Sulphide Chemical compound [S-2] UCKMPCXJQFINFW-UHFFFAOYSA-N 0.000 description 1
- 230000001464 adherent effect Effects 0.000 description 1
- 150000001340 alkali metals Chemical class 0.000 description 1
- RHZUVFJBSILHOK-UHFFFAOYSA-N anthracen-1-ylmethanolate Chemical compound C1=CC=C2C=C3C(C[O-])=CC=CC3=CC2=C1 RHZUVFJBSILHOK-UHFFFAOYSA-N 0.000 description 1
- 239000003830 anthracite Substances 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000007664 blowing Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 230000001066 destructive effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000004880 explosion Methods 0.000 description 1
- 239000012535 impurity Substances 0.000 description 1
- 238000012417 linear regression Methods 0.000 description 1
- 229910052700 potassium Inorganic materials 0.000 description 1
- 238000001556 precipitation Methods 0.000 description 1
- 238000003672 processing method Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 150000003839 salts Chemical class 0.000 description 1
- 239000013049 sediment Substances 0.000 description 1
- 229910052708 sodium Inorganic materials 0.000 description 1
- 229910052717 sulfur Inorganic materials 0.000 description 1
- 239000011593 sulfur Substances 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 238000010977 unit operation Methods 0.000 description 1
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Abstract
The utility model relates to a high temperature corrosion state diagnosing and preventing system for a water wall of a boiler, which comprises a plurality of temperature sensors, a fed-in-boiler coal quality sampling module, a coal powder fineness sampling module, a fume sampling module, a data layer module, a characteristic layer data processing module and a decision layer module, wherein the temperature sensors collect the temperatures of the water wall by multi-channel analog/digital (A/D) conversion collecting modules; the fed-in-boiler coal quality sampling module sends coal quality information to a coal quality analyzing module which industrially analyzes coal quality; the coal powder fineness sampling module sends collected coal powder fineness information to a fineness analyzing module; the fume sampling module sends collected flume information to a component analyzing module; the data layer module carries out wave filtering treatment and removes morbid data according to obtained temperature information, coal quality information, fineness information and fume component information; the characteristic layer data processing module extracts the characteristic quantity of the data processed by the data layer module; and the decision layer module carries out the comprehensive analysis and the judgment of an expert system on the data extracted by the characteristic layer data processing module, obtains and outputs a reasonable and correct conclusion, and participates in running regulation.
Description
Technical field
The utility model relates to a kind of high temperature corrosion state of boiler water cooled wall diagnosis and prevention system and method, but the operation conditions of its based on fuel situation and boiler provides the risk class of present boiler generation high temperature corrosion, provide in conjunction with expert system simultaneously and make prophylactico-therapeutic measures, for providing an approach with intelligent control water wall high temperature corrosion in real time.
Background technology
The high temperature corrosion problem ubiquity of coal-burning boiler water screen tube is the one of the main reasons that causes water-cooling wall tube wall attenuate, and it can cause the effective bearing capacity of tube wall constantly to descend and cause the water-cooled explosion, causes unplanned blowing out.When seriously corroded, often some months must the removable parts pipeline section, has increased the repair and maintenance cost of boiler greatly.By discovering, cause the factor of water wall high temperature corrosion more, mainly contain: contain the existence of higher sulphur content He other objectionable impurities in the fire coal; Alkali metal salt that produces in the combustion process or vanadic salts class, and comparatively commonly produce sulfide in the combustion process; The atmosphere of burning in addition, the wall temperature of water-cooling wall, influence factors such as fineness of pulverized coal.In these factors, be not single effect, but influence each other, and should not observe and definite influence degree and scope.
Although it is exactly that water wall high temperature corrosion has than serious destructive that the high temperature corrosion problem of coal-burning boiler water screen tube also has characteristics, but in running, should not discover, take place to find that just high temperature corrosion is comparatively serious in leakage or the shutdown maintenance at water-cooling wall often, bring hidden danger for the safe operation of unit.
By above analysis as can be known, the boiler water-wall tube high temperature corrosion is a comparatively common problem, boiler there is stronger destructiveness, and influence factor is many, each factor can not quantize the influence degree of high temperature corrosion, be difficult to assess, diagnose to the risk of water screen tube generation high temperature corrosion with to running status effectively, thereby avoid water-cooling wall generation high temperature corrosion from the management and the method for operation.
The domestic relevant patent that addresses this problem has following several at present:
CN02139804.6 large-sized station boiler water wall high temperature corrosion degree method of discrimination, its proposes a kind of based on the method for the differentiation high temperature corrosion tendency of grey clustering method.It is a kind of discriminating conduct of off-line, can not move with instructing in real time by real time discriminating, and this method measuring condition is more, strictness.
The apparatus and method of a CN200810236550.8 online detection boiler water-cooling wall high-temperature corrosion, this patent is based on Fuzzy AHP to the adherent smoke components of boiler, water-cooled wall temperature and the partial data of gathering from runtime database are handled, and provide conclusion and instruction.The claim of this patent is mainly at the acquisition methods of data and the Fuzzy AHP that adopts in to the data processing procedure.This patent is not included the ature of coal factor, and this method can not participate in the operational factor adjustment in real time to alleviate or to avoid high temperature corrosion.
The CN200810195414.9 high temperature corrosion on-line monitoring system for boiler water-cooled wall, this patent what is claimed is sampling system and controlling of sampling and the treatment system of obtaining data, its data handling system is simple relatively only carries out comparatively simple linear regression according to the test data of obtaining and reaches a conclusion.The data that this patent is obtained are not comprehensive, and data handling procedure is simple, and the reliability of judging for high temperature corrosion is not high.
Patent CN200810236550.8 and CN200810195414.9 are the on-line monitoring high temperature corrosions, they finally all do not participate in operation adjustment directly, a bit be the operation oxygen amount that the data obtained in these two patents do not comprise coal analysis data and boiler in addition, and these two factors also are the principal elements of boiler high temperature corrosion.
The utility model content
The purpose of this utility model is exactly in order to solve the problem that present boiler water-cooling wall high-temperature corrosion is difficult for detection, by researching and analysing, determine to cause the principal element of high temperature corrosion to be: (1) goes in the stove coal S content greater than 1.0 ~ 1.5%, and contains alkali metal such as K, Na; (2) air feed deficiency in the stove exists anoxycausis or furnace air power situation bad, and there is the reproducibility atmosphere in the water-cooling wall zone; (3) the water-cooling wall surface temperature is higher; (4) fuel is low-volatile meager lean coal or anthracite, and burnout rate is relatively poor; (5) high underload switching of sulphur content content height in the sediment on the water-cooling wall, and boiler or start and stop are frequent, cause the beds of precipitation to come off, and high-temperature sulfur corrosion easily takes place.
Based on above analysis, the utility model provides a kind of high temperature corrosion state of boiler water cooled wall diagnosis and prevention system and method, and it can be assessed boiler generation high temperature corrosion risk in real time, and can propose the method for guidance and adjustment simultaneously to the method for operation.
For achieving the above object, the utility model adopts following technical scheme:
A kind of high temperature corrosion state of boiler water cooled wall diagnosis and prevention system, it comprises:
The plurality of temperature sensor, they change acquisition module with the water-cooling wall temperature of gathering by multichannel A/D, send into data layer module;
Go into stove coal ature of coal sampling module, this module is sent ature of coal information into the coal analysis module, and the coal analysis module is carried out Industrial Analysis, then data is sent into data layer module;
Coal fineness sampling module, this module is sent the fineness of pulverized coal information of gathering into fineness analysis module, and this module carries out sending into data layer module after the fineness analysis;
The flue gas sampling module, this module is sent the flue gas information of gathering into component analysis module, and this module carries out sending into data layer module after the constituent analysis;
Data layer module carries out the rejecting of filtering processing and ill data according to the temperature information, ature of coal information, fineness information and the smoke components information that obtain;
The characteristic layer data processing module carries out features extraction to handle the back data through data layer module, and the characteristic quantity of extraction comprises extreme value and mean value, because each parameter will be got maximum or minimum of a value to the trend that influences of high temperature corrosion is inconsistent;
Decision-making level's module is carried out the analysis-by-synthesis and the judgement of expert system to the data of extracting through the characteristic layer data processing module, draws reasonable and accurate conclusion output and participate in operation to regulate.
Its step is:
Step 1, gather each water-cooling wall temperature information, go into stove ature of coal information, fineness of pulverized coal information and smoke components information;
1) measures to such an extent that the water-cooling wall temperature is judged by formula (1) to all, reject ill data;
In the formula, T is the water-cooling wall temperature value, ℃; C is a current sampling point; N is ripple sampling number weekly; T
fBe water-cooling wall morbid state discriminating data setting valve, ℃; T
C-NBe last sampling period mean value, ℃; △ T is the water-cooling wall temperature gap, ℃;
2) coal analysis process: according to the coal analysis data, binding analysis error, employing formula (2) (3) are as criterion:
X in the following formula
iBe proximate analysis of coal composition, %; S
rBe the sulphur content in the coal, %;
3) fineness of pulverized coal analysis: the criterion of fineness of pulverized coal is formula (4)
R90＜5 or R90＞30 (4)
4) the constituent analysis data of flue gas are: O
2, CO and H
2The concentration of S, the criterion of fume component analysis data are formula (5),
O
2＞10，CO＞2，H
2S＞1 (5)
In the formula: R90 is a fineness of pulverized coal; O
2Be the concentration of oxygen in the flue gas, %; CO is the concentration of carbon monoxide in the flue gas, %; H
2S is the concentration of hydrogen sulfide in the flue gas, %;
Step 3, the characteristic layer data are handled, it is exactly to carry out features extraction to handle the back data through data layer module that the data in this stage are handled, and the characteristic quantity of extraction comprises extreme value and mean value, because each parameter will be got maximum or minimum of a value to the trend that influences of high temperature corrosion is inconsistent;
In the formula: y
iBe S
r, CO, H
2S, R90 and T; z
iBe O
2And V
rw
iBe S
r, CO, H
2S, R90, T, O
2And V
r
Be used for judging the corrosion condition of boiler water wall with non-dimension analysis criterion β, the definition of β is a following formula:
Step 4, decision-making level's module are carried out data processing and output, in decision-making level the data of extracting through characteristic layer are carried out the analysis-by-synthesis and the judgement of expert system, draw reasonable and accurate conclusion output and participation operation and regulate.
In the described step 4, at first each parameter under the design point is worth as reference, goes out this high temperature discriminant coefficient β according to calculation of design parameters simultaneously
0, calculate the high temperature discriminant coefficient β under the actual operating state again
1, with β
1And β
0Compare, if β
1＜β
0, illustrate that the boiler operatiopn state is safer, if β
1β
0Illustrate that there is the danger of high temperature corrosion in boiler, then relatively, need to point out the operational factor of adjustment, be used for instructing the operation personnel in the design load of carrying out each actual parameter and parameter.
The beneficial effects of the utility model are: the operation conditions of its based on fuel situation and boiler provides the risk class of present boiler generation high temperature corrosion, provide in conjunction with expert system simultaneously and make prophylactico-therapeutic measures, for providing an approach with intelligent control water wall high temperature corrosion in real time.
Description of drawings
Fig. 1 is a system diagram of the present utility model.
Wherein, 1. temperature sensor, 2. multichannel A/D conversion acquisition module is 3. gone into stove coal ature of coal sampling module, 4. coal analysis module, 5. coal fineness sampling module, 6. fineness analysis module, 7. flue gas sampling module, 8. component analysis module, 9. data layer module, 10. characteristic layer data processing module, 11. decision-making level's modules.
The specific embodiment
Below in conjunction with accompanying drawing and embodiment the utility model is described further.
Among Fig. 1, high temperature corrosion state of boiler water cooled wall diagnosis and prevention system comprise:
Plurality of temperature sensor 1, they change acquisition module 2 with the water-cooling wall temperature of gathering by multichannel A/D, send into data layer module 9;
Go into stove coal ature of coal sampling module 3, this module is sent ature of coal information into coal analysis module 4, and coal analysis module 4 is carried out Industrial Analysis, then data is sent into data layer module 9;
Coal fineness sampling module 5, this module is sent the fineness of pulverized coal information of gathering into fineness analysis module 6, and this module carries out sending into data layer module 9 after the fineness analysis;
Flue gas sampling module 7, this module is sent the flue gas information of gathering into component analysis module 8, and this module carries out sending into data layer module 9 after the constituent analysis;
10 pairs of characteristic layer data processing modules are handled the back data through data layer module 9 and are carried out features extraction, and the characteristic quantity of extraction comprises extreme value and mean value, because each parameter will be got maximum or minimum of a value to the trend that influences of high temperature corrosion is inconsistent;
11 pairs of data of extracting through characteristic layer data processing module 10 of decision-making level's module are carried out the analysis-by-synthesis and the judgement of expert system, draw reasonable and accurate conclusion output and participate in operation to regulate.
Employing multi-sensor information fusion technology of the present utility model is to boiler high temperature corrosion diagnosis, the field data that must obtain comprises, (1) goes into the Industrial Analysis of stove coal, these analysis data can directly be connected with the ature of coal on-line analysis system for the power plant that is fit into stove ature of coal on-line analysis system to be obtained, and can carry out typing by input terminal by the operations staff for what do not install.(2) fineness of pulverized coal will carry out typing by input terminal by the operations staff.(3) water-cooling wall temperature and fume component analysis data, these two parts are service datas, can obtain from MIS also and can directly obtain from DCS for the unit of the information management system that unit is housed (MIS).Each module of the present utility model can adopt single-chip microcomputer or digital operational circuit etc., and they are known technology and repeat no more.
The concrete processing method of the utility model is as follows:
Step 1, gather each water-cooling wall temperature information, go into stove ature of coal information, fineness of pulverized coal information and smoke components information;
1) data of data Layer are handled
It is the rejecting of all image data being carried out filtering processing and ill data that the data of data Layer are handled.
Measure to such an extent that the water-cooling wall temperature is judged by formula (1) to all, reject ill data.
In the formula, T is the water-cooling wall temperature value, ℃; C is a current sampling point; N is ripple sampling number weekly; T
fBe water-cooling wall morbid state discriminating data setting valve, ℃; T
C-NBe last sampling period mean value, ℃; △ T is the water-cooling wall temperature gap, ℃.
2) the analysis data that provide of coal analysis are: S
r, M
r, V
r, FC
r, A
rAccording to the historical data of coal analysis, binding analysis error etc., employing formula (2) (3) is as criterion.
X in the following formula
iBe proximate analysis of coal composition, %; S
rBe the sulphur content in the coal, %.
3) fineness of pulverized coal analysis data are: R90, the criterion of fineness of pulverized coal is formula (4).
R90＜5 or R90＞30 (4)
4) the constituent analysis data of flue gas are: O
2, CO and H
2The concentration of S, the criterion of fume component analysis data are formula (5).
O
2＞10，CO＞2，H
2S＞1 (5)
In the formula: R90 is a fineness of pulverized coal; O
2Be the concentration of oxygen in the flue gas, %; CO is the concentration of carbon monoxide in the flue gas, %; H
2S is the concentration of hydrogen sulfide in the flue gas, %.
Step 3, the characteristic layer data are handled
It is exactly to carry out features extraction to handle the back data through data Layer that the data in this stage are handled, and thinks that after deliberation the characteristic quantity that extracts comprises extreme value and mean value, because each parameter will be got maximum or minimum of a value to the trend that influences of high temperature corrosion is inconsistent.
In the formula: y
iBe S
r, CO, H
2S, R90 and T; z
iBe O
2And V
rw
iBe S
r, CO, H
2S, R90, T, O
2And V
r
Research and analyse by the high temperature corrosion situation to a plurality of power plant, be used for judging the corrosion condition of boiler water wall with non-dimension analysis criterion β, the definition of β is a following formula:
Step 4, decision-making level's data are handled and output, in decision-making level the data of extracting through characteristic layer are carried out the analysis-by-synthesis and the judgement of expert system, draw reasonable and accurate conclusion output and participate in operation to regulate.
Owing to adopted dimensionless factor β to judge the situation of the generation high temperature corrosion of boiler, this coefficient has comprised ature of coal situation, fineness of pulverized coal and running state parameter etc., comprehensively each factor is assessed the situation that high temperature corrosion takes place and is judged, in unit operation, specific implementation can be in the following ways, at first each parameter under the design point is worth as reference, goes out this high temperature discriminant coefficient β according to calculation of design parameters simultaneously
0, calculate the high temperature discriminant coefficient β under the actual operating state again
1, with β
1And β
0Compare, if β
1＜β
0, illustrate that the boiler operatiopn state is safer, if β
1＞β
0Illustrate that there is the danger of high temperature corrosion in boiler, carrying out the design load (down be designated as 0) of each actual parameter (be designated as 1 down) relatively then, need to point out the operational factor adjusted, be used for instructing the operation personnel with parameter.
The utility model is according to the actual operating state of boiler water-cooling wall high-temperature corrosion, utilize information fusion technology, each factor and the operating analysis data that influence high temperature corrosion are carried out fusion treatment, realized the possibility of boiler operatiopn mode generation high temperature corrosion is made rational assessment and at the diagnosis of each influence factor, and can be quantitative provide the operational factor that need make adjustment, the adjustable range of factors such as ature of coal is with the generation of pre-high temperature corrosion resistance, make the operations staff in running, just can prevent high temperature corrosion by operation adjustment in real time, as this module being embedded the intellectuality adjustment that just can realize pre-high temperature corrosion resistance among the DCS.
Claims (1)
1. a high temperature corrosion state of boiler water cooled wall is diagnosed and prevention system, it is characterized in that it comprises:
The plurality of temperature checkout gear, they change acquisition module with the water-cooling wall temperature of gathering by multichannel A/D, send into data layer module;
Go into stove coal ature of coal sampling module, this module is sent ature of coal information into the coal analysis module, and the coal analysis module is carried out Industrial Analysis, then data is sent into data layer module;
Coal fineness sampling module, this module is sent the fineness of pulverized coal information of gathering into fineness analysis module, and this module carries out sending into data layer module after the fineness analysis;
The flue gas sampling module, this module is sent the flue gas information of gathering into component analysis module, and this module carries out sending into data layer module after the constituent analysis;
Data layer module carries out the rejecting of filtering processing and ill data according to the temperature information, ature of coal information, fineness information and the smoke components information that obtain;
The characteristic layer data processing module carries out features extraction to handle the back data through data layer module, and the characteristic quantity of extraction comprises extreme value and mean value, because each parameter will be got maximum or minimum of a value to the trend that influences of high temperature corrosion is inconsistent;
Decision-making level's module is carried out the analysis-by-synthesis and the judgement of expert system to the data of extracting through the characteristic layer data processing module, and the conclusion that draws output and participation operation are regulated.
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|---|---|---|---|
| CN201020253522XU CN201811207U (en) | 2010-07-12 | 2010-07-12 | High temperature corrosion state diagnosing and preventing system for water wall of boiler |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201020253522XU CN201811207U (en) | 2010-07-12 | 2010-07-12 | High temperature corrosion state diagnosing and preventing system for water wall of boiler |
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| Publication Number | Publication Date |
|---|---|
| CN201811207U true CN201811207U (en) | 2011-04-27 |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102506410A (en) * | 2011-11-15 | 2012-06-20 | 华北电力大学（保定） | Monitoring device for running state of circulating fluidized bed boiler in power station |
| CN104808634A (en) * | 2015-04-24 | 2015-07-29 | 中国神华能源股份有限公司 | Thermal power plant visual management system based on virtual reality |
| CN107044628A (en) * | 2016-10-31 | 2017-08-15 | 广东电网有限责任公司电力科学研究院 | A kind of diagnostic method and device of boiler side wall water wall high temperature corrosion |
| CN109595586A (en) * | 2018-11-29 | 2019-04-09 | 华中科技大学 | The burning optimization method and system of anti-high-temperature corrosion in boiler based on CO on-line checking |
| WO2022188375A1 (en) * | 2021-03-12 | 2022-09-15 | 苏州西热节能环保技术有限公司 | Pulverized coal boiler integrated comprehensive adjustment method based on water-cooled wall high-temperature corrosion prevention and control |
-
2010
- 2010-07-12 CN CN201020253522XU patent/CN201811207U/en not_active Expired - Fee Related
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102506410A (en) * | 2011-11-15 | 2012-06-20 | 华北电力大学（保定） | Monitoring device for running state of circulating fluidized bed boiler in power station |
| CN102506410B (en) * | 2011-11-15 | 2014-05-14 | 华北电力大学（保定） | Monitoring device for running state of circulating fluidized bed boiler in power station |
| CN104808634A (en) * | 2015-04-24 | 2015-07-29 | 中国神华能源股份有限公司 | Thermal power plant visual management system based on virtual reality |
| CN104808634B (en) * | 2015-04-24 | 2017-11-07 | 中国神华能源股份有限公司 | A kind of thermal power plant's Visualized management system based on virtual reality |
| CN107044628A (en) * | 2016-10-31 | 2017-08-15 | 广东电网有限责任公司电力科学研究院 | A kind of diagnostic method and device of boiler side wall water wall high temperature corrosion |
| CN109595586A (en) * | 2018-11-29 | 2019-04-09 | 华中科技大学 | The burning optimization method and system of anti-high-temperature corrosion in boiler based on CO on-line checking |
| CN109595586B (en) * | 2018-11-29 | 2021-02-19 | 华中科技大学 | Combustion optimization method and system for preventing high-temperature corrosion of boiler based on CO online detection |
| WO2022188375A1 (en) * | 2021-03-12 | 2022-09-15 | 苏州西热节能环保技术有限公司 | Pulverized coal boiler integrated comprehensive adjustment method based on water-cooled wall high-temperature corrosion prevention and control |
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