CN114963229B - Intelligent online real-time monitoring CO combustion analysis control platform - Google Patents
Intelligent online real-time monitoring CO combustion analysis control platform Download PDFInfo
- Publication number
- CN114963229B CN114963229B CN202210493624.6A CN202210493624A CN114963229B CN 114963229 B CN114963229 B CN 114963229B CN 202210493624 A CN202210493624 A CN 202210493624A CN 114963229 B CN114963229 B CN 114963229B
- Authority
- CN
- China
- Prior art keywords
- data
- analysis
- combustion
- flue
- boiler
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 38
- 238000009838 combustion analysis Methods 0.000 title claims abstract description 19
- 238000004891 communication Methods 0.000 claims abstract description 48
- 238000005070 sampling Methods 0.000 claims abstract description 44
- 238000004458 analytical method Methods 0.000 claims abstract description 32
- 238000005259 measurement Methods 0.000 claims abstract description 29
- 238000004868 gas analysis Methods 0.000 claims abstract description 25
- 240000004282 Grewia occidentalis Species 0.000 claims abstract description 8
- 238000002485 combustion reaction Methods 0.000 claims description 82
- 239000007789 gas Substances 0.000 claims description 39
- 239000003245 coal Substances 0.000 claims description 32
- 239000000523 sample Substances 0.000 claims description 31
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 claims description 26
- 239000003546 flue gas Substances 0.000 claims description 24
- 238000000034 method Methods 0.000 claims description 24
- 230000006870 function Effects 0.000 claims description 13
- 206010022000 influenza Diseases 0.000 claims description 13
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 13
- 238000012545 processing Methods 0.000 claims description 11
- MWUXSHHQAYIFBG-UHFFFAOYSA-N nitrogen oxide Inorganic materials O=[N] MWUXSHHQAYIFBG-UHFFFAOYSA-N 0.000 claims description 9
- 238000001514 detection method Methods 0.000 claims description 8
- 239000002893 slag Substances 0.000 claims description 8
- 230000033228 biological regulation Effects 0.000 claims description 7
- 238000005457 optimization Methods 0.000 claims description 6
- 238000010977 unit operation Methods 0.000 claims description 6
- 238000012937 correction Methods 0.000 claims description 5
- 238000010438 heat treatment Methods 0.000 claims description 5
- 238000009434 installation Methods 0.000 claims description 5
- 230000008569 process Effects 0.000 claims description 5
- 239000007921 spray Substances 0.000 claims description 5
- 239000004071 soot Substances 0.000 claims description 4
- 230000005540 biological transmission Effects 0.000 claims description 3
- 238000004422 calculation algorithm Methods 0.000 claims description 3
- 238000009792 diffusion process Methods 0.000 claims description 3
- 238000007726 management method Methods 0.000 claims description 3
- 238000002156 mixing Methods 0.000 claims description 3
- 238000005192 partition Methods 0.000 claims description 3
- 230000005855 radiation Effects 0.000 claims description 3
- 238000010223 real-time analysis Methods 0.000 claims description 3
- 238000000926 separation method Methods 0.000 claims description 3
- 238000005507 spraying Methods 0.000 claims 1
- 239000003570 air Substances 0.000 description 58
- 238000012360 testing method Methods 0.000 description 31
- 239000000779 smoke Substances 0.000 description 21
- 239000002956 ash Substances 0.000 description 11
- 239000001301 oxygen Substances 0.000 description 10
- 229910052760 oxygen Inorganic materials 0.000 description 10
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 9
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 description 7
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 description 6
- 229910052799 carbon Inorganic materials 0.000 description 6
- 238000004364 calculation method Methods 0.000 description 5
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 4
- 229910002092 carbon dioxide Inorganic materials 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 4
- 239000010881 fly ash Substances 0.000 description 4
- 230000017525 heat dissipation Effects 0.000 description 4
- 229910052757 nitrogen Inorganic materials 0.000 description 4
- 230000007547 defect Effects 0.000 description 3
- 238000002848 electrochemical method Methods 0.000 description 3
- 238000012423 maintenance Methods 0.000 description 3
- 238000012821 model calculation Methods 0.000 description 3
- 239000007787 solid Substances 0.000 description 3
- PZZOEXPDTYIBPI-UHFFFAOYSA-N 2-[[2-(4-hydroxyphenyl)ethylamino]methyl]-3,4-dihydro-2H-naphthalen-1-one Chemical compound C1=CC(O)=CC=C1CCNCC1C(=O)C2=CC=CC=C2CC1 PZZOEXPDTYIBPI-UHFFFAOYSA-N 0.000 description 2
- 235000002918 Fraxinus excelsior Nutrition 0.000 description 2
- 238000007664 blowing Methods 0.000 description 2
- 239000001569 carbon dioxide Substances 0.000 description 2
- 229910002091 carbon monoxide Inorganic materials 0.000 description 2
- 238000004939 coking Methods 0.000 description 2
- 238000011217 control strategy Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000005553 drilling Methods 0.000 description 2
- 239000000446 fuel Substances 0.000 description 2
- 238000004817 gas chromatography Methods 0.000 description 2
- 230000035772 mutation Effects 0.000 description 2
- 230000009467 reduction Effects 0.000 description 2
- 230000004044 response Effects 0.000 description 2
- UFHFLCQGNIYNRP-UHFFFAOYSA-N Hydrogen Chemical compound [H][H] UFHFLCQGNIYNRP-UHFFFAOYSA-N 0.000 description 1
- 206010021143 Hypoxia Diseases 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 239000012080 ambient air Substances 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 239000010883 coal ash Substances 0.000 description 1
- 230000007797 corrosion Effects 0.000 description 1
- 238000005260 corrosion Methods 0.000 description 1
- 238000007599 discharging Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 238000013100 final test Methods 0.000 description 1
- 238000011010 flushing procedure Methods 0.000 description 1
- 239000003517 fume Substances 0.000 description 1
- 239000001257 hydrogen Substances 0.000 description 1
- 229910052739 hydrogen Inorganic materials 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 125000000864 peroxy group Chemical group O(O*)* 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000003786 synthesis reaction Methods 0.000 description 1
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F23—COMBUSTION APPARATUS; COMBUSTION PROCESSES
- F23M—CASINGS, LININGS, WALLS OR DOORS SPECIALLY ADAPTED FOR COMBUSTION CHAMBERS, e.g. FIREBRIDGES; DEVICES FOR DEFLECTING AIR, FLAMES OR COMBUSTION PRODUCTS IN COMBUSTION CHAMBERS; SAFETY ARRANGEMENTS SPECIALLY ADAPTED FOR COMBUSTION APPARATUS; DETAILS OF COMBUSTION CHAMBERS, NOT OTHERWISE PROVIDED FOR
- F23M11/00—Safety arrangements
- F23M11/04—Means for supervising combustion, e.g. windows
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F23—COMBUSTION APPARATUS; COMBUSTION PROCESSES
- F23M—CASINGS, LININGS, WALLS OR DOORS SPECIALLY ADAPTED FOR COMBUSTION CHAMBERS, e.g. FIREBRIDGES; DEVICES FOR DEFLECTING AIR, FLAMES OR COMBUSTION PRODUCTS IN COMBUSTION CHAMBERS; SAFETY ARRANGEMENTS SPECIALLY ADAPTED FOR COMBUSTION APPARATUS; DETAILS OF COMBUSTION CHAMBERS, NOT OTHERWISE PROVIDED FOR
- F23M5/00—Casings; Linings; Walls
- F23M5/08—Cooling thereof; Tube walls
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Landscapes
- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Regulation And Control Of Combustion (AREA)
Abstract
The invention discloses an intelligent online real-time monitoring CO combustion analysis control platform; the device comprises a DCS system, wherein the DCS system comprises a power station DCS data interface station, flue section grid gas analysis and measurement elements at two sides of an outlet of an economizer and a hearth asher wind lower layer four-corner water-cooled wall gas analysis and measurement element, the flue section grid gas analysis and measurement elements at two sides of the outlet of the economizer comprise an economizer rear flue, a sampling unit is connected to the economizer rear flue, a sample gas treatment and control unit is connected to the sampling unit, an analysis unit is connected to the sample gas treatment and control unit, and a DAS system is connected to the analysis unit; the system can accurately and efficiently collect data and send the data into the DAS system to provide control basis; integrating data information to realize on-line real-time monitoring and CO combustion analysis; and the communication speed requirement is ensured, the communication data is accurate and reliable, and the communication event is responded quickly.
Description
Technical Field
The invention belongs to the technical field of CO combustion analysis, and particularly relates to an intelligent online real-time monitoring CO combustion analysis control platform.
Background
The utility model provides a coal fired boiler CO on-line monitoring instrument's of power plant purpose is to the online real-time supervision of boiler burning O2, CO, NOx content, provides basic guarantee for the fine adjustment of boiler burning. The system utilizes a grid method to measure the CO content of the tail flue of the hearth, so as to judge the partial anoxic combustion condition in the hearth, and the real-time online monitoring of the CO content of the boiler is realized, so that the system is used for replacing the current situation that the combustion condition of the hearth is judged by the traditional power plant only by monitoring the O2 content of the boiler, and various problems still exist in online monitoring of various CO in the market.
The CO measurement technology mainly comprises the following steps: infrared, electrochemical, chemical and gas chromatography; the analysis methods have poor selectivity, and can burn out combustible gas except components to be detected in the gas sample, so that errors are caused, and the gas sample is required to be preprocessed to remove interference components; the gas chromatography is a traditional method, has the defects that the analysis can only be carried out in a laboratory, the real-time analysis is difficult, the electrochemical method is a method which is generally applied, the technology is relatively mature and the comprehensive index is good, and has the greatest advantages of relatively simple structure, low price, easy division, operation in high-temperature flue gas and most portable flue gas analyzers. Unlike infrared analyzer, the electrochemical cell is insensitive to other smoke components during electrochemical measurement, but the sensor has short service life, and electrochemical method has a fatal problem that the drift of the electrochemical sensor is accumulated, and the drift can be accumulated all the time along with the extension of time, thereby influencing the accuracy during continuous monitoring for a long time, and the stable application in the field of on-line monitoring has the principle defect, so that an intelligent on-line real-time monitoring CO combustion analysis control platform is provided.
Disclosure of Invention
The invention aims to provide an intelligent online real-time monitoring CO combustion analysis control platform so as to solve the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions:
The intelligent online real-time monitoring CO combustion analysis control platform comprises a DCS system, wherein the DCS system comprises a power station DCS data interface station, grid gas analysis and measurement elements of flue sections at two sides of an economizer outlet and gas analysis and measurement elements of four corners of a lower layer of a furnace combustion wind, the power station DCS data interface station is electrically connected with a unidirectional data communication safety gatekeeper, the unidirectional data communication safety gatekeeper is electrically connected with a gigabit industrial data switch, the gigabit industrial data switch is electrically connected with a site SIS data system platform, the grid gas analysis and measurement elements of flue sections at two sides of the economizer outlet are electrically connected with a blowback unit, the blowback unit is electrically connected with a data acquisition transmitter and a CAN or RS485 site bus, the four corners of the lower layer of the furnace combustion wind are also electrically connected with a blowback unit, the data acquisition transmitter and the CAN or the RS485 site bus in sequence, the gigabit industrial data switch and the CAN or the RS485 site bus are electrically connected with a boiler industrial control model computer, and the intelligent boiler combustion control platform is electrically connected with a boiler industrial control model configuration computer, and the boiler industrial control platform is electrically connected with a display screen;
The grid gas analysis measuring element comprises a flue behind the economizer, a sampling unit is connected to the flue behind the economizer and used for acquiring soot in the flue behind the economizer, a sample gas treatment and control unit is connected to the sampling unit, an analysis unit is connected to the sample gas treatment and control unit, the sample gas treatment and control unit is used for further dedusting, dewatering, pressure regulation and flow regulation of collected sample gas, finally the treated sample gas is conveyed to an analysis instrument for detection according to required pressure and flow, the analysis unit is used for carrying out real-time and accurate analysis and recording on the sample gas entering the unit, and a DAS system is connected to the analysis unit and used for realizing storage and recording of data information.
Preferably, the sampling unit performs gas sampling analysis on the sections of the flues at two sides of the outlet of the economizer by adopting a grid method, before sampling measuring points are installed, grid calibration and flow field representative points of the sections of the flues at two sides are selected to work, the measuring points selected by the flues at one side of the outlet of the economizer are 32 points, the measuring points are led out from 8 sampling pipes, are connected to a data acquisition transmitter for gas analysis, and transmit data to an industrial control model configuration computer of the intelligent boiler combustion platform through an RS485 bus;
The gas analysis and measurement element for the four-corner water-cooled wall of the lower layer of the burning-out wind of the hearth is used for detecting nitrogen oxides and reducing gas of the burning-out layer at the upper part of the water-cooled wall, is arranged on fins between vertical pipes below the burning-out layer, is led out by drilling, the installation position of the leading-out pipe is positioned on four side walls with the strongest reducibility, and the total number of measuring points is in principle not less than 16 points for sampling and real-time measurement.
Preferably, the boiler further comprises a hearth, a horizontal flue, a front flue shaft, a rear flue shaft and a rear flue tail, wherein a partition screen superheater is arranged on the upper portion of the hearth, a final-stage reheater and a final-stage superheater are arranged in the horizontal flue, a low-temperature reheater is arranged in the front flue shaft, a low-temperature superheater and a coal economizer are horizontally arranged in the rear flue shaft, a denitration device is arranged at the rear flue tail, and two three-compartment rotary air preheaters are arranged at the rear portion of the boiler.
Preferably, the separation superheater and the final superheater of the low-temperature superheater are radiation convection type superheaters, a superheated steam temperature system adopts coal water ratio and two-stage water spray temperature reduction control, and a screen type heating surface with wider transverse pitch is adopted, so that slag hanging on a pipe screen is effectively prevented; the final-stage reheater and the low-temperature reheater are adjusted by adopting a flue gas baffle to adjust temperature and low-load excess air coefficient, and an accident water spray attemperator is arranged on a pipeline from a low re-outlet to a high re-inlet.
Preferably, the analysis unit combines the collected CO data with related parameters of combustion control in the DCS system, so as to analyze and adjust the combustion condition of the boiler in real time and promote stable and efficient combustion of the boiler;
besides CO data, other parameters of the platform mainly originate from the DCS system in the present place, the parameters are corrected through an optimization algorithm of multi-point data choosing and rejecting after being led out from the DCS system, and the DCS system adopts a gigabit industrial data switch installed at a unidirectional network gate outlet for data transmission.
Preferably, after the boiler combustion intelligent platform industrial control model configuration computer is started, the boiler combustion state monitoring software is automatically started to operate, the software reads system configuration parameters and instrument operation related parameters from a local database, logs in the system by default with operator permission, the software detects whether each communication device is normally connected, if the connection fails, an alarm prompt is given, after the communication device is connected with the device, the sensor parameters and flame video acquisition processing card parameters are remotely set according to the data acquired from the DCS system, and after the setting is finished, the monitoring software automatically acquires the data.
Preferably, the operator authority has the functions of prohibiting an operator from switching the system interface through various shortcut keys, prohibiting software from being minimized and prohibiting the operator from exiting the software operation;
the alarm prompt displays the occurrence time of the alarm event and the alarm details in detail and assists an operator to process the system fault.
Preferably, the monitoring display screen of the boiler operation panel is used for displaying the combustion state information of each layer in the boiler hearth, including the temperature in the hearth, the length of the burner pulverized coal black dragon, the combustion mixing intensity and the diffusion angle of the burner outlet pulverized coal, and refreshing in real time; double clicking on the label or value of each station displays a real-time dynamic curve of the station data and provides a remote parameter setting interface for various sensors and communication devices.
Preferably, the boiler combustion intelligent platform industrial control model configuration computer is provided with a plurality of serial communication interfaces, and 5-12 pieces of equipment are mounted on each serial port; the method comprises the steps of compiling a communication function by using a bottom communication driving interface of a C++ language and a Windows system, realizing a plurality of communication protocols, communicating with different kinds of equipment, and collecting data of a plurality of sensors mounted on an RS485 serial port in each communication period by using a polling mode; when the sensor detects, corresponding detection parameters need to be set, and in addition, software needs to realize remote reading and setting functions of the sensor parameters; the reading and setting functions of parameters are divided into manual reading, setting and automatic reading and setting; the operator remotely reads and sets the configuration parameters of the sensor through a software UI interface, and the software can automatically set the configuration parameters of the sensor according to the data acquired from the DCS system.
Preferably, the boiler combustion intelligent platform industrial control model configuration computer establishes a complete database application management system, and stores the hearth temperature information acquired by the temperature probe, the flame image characteristic information calculated by the video acquisition processing card, the unit operation data information acquired from the DCS system, the configuration information of the temperature probe and the video acquisition card and the optimization control correction data information of the combustion control system into the established database;
When the monitoring software operates, a large amount of historical data is generated, and the data records combustion state parameters, unit operation data and configuration parameters in the hearth; the operator needs to query the software for historical data over a custom time period.
Compared with the prior art, the invention has the beneficial effects that:
the system can accurately and efficiently collect related data and send the collected data into the DAS system, so as to provide all control basis for automatic control; the system is capable of being effectively applied to various complex working conditions on site, reasonable in structure, stable in performance, quick in response time, high in analysis precision, simple and convenient to operate and small in maintenance amount, and in order to improve gas detection, detection of the whole boiler system is realized, data information is integrated, and online real-time monitoring of CO combustion analysis is effectively realized;
The sections of flues at two sides of the outlet of the economizer are taken 64 network lattice points in total, the sampling is carried out by leading out 8 pipes, and a sampling device is not arranged on the water-cooled wall; the measurement parameters are mainly used for accurately judging the local anoxic state in the flue gas laminar flow from the outlet of the hearth, providing a numerical value monitoring and correcting method for model calculation for partial combustion and non-uniformity of combustion of the hearth, and providing a more detailed independent monitoring means for the combustion state in the furnace for operators;
The industrial control host is provided with a plurality of serial communication interfaces, and 5-12 devices are mounted on each serial communication interface; the communication function is compiled by using a bottom communication driving interface of a C++ language and a Windows system, and a plurality of communication protocols are realized to communicate with different kinds of equipment; in each communication period, a polling mode is used for collecting data of a plurality of sensors mounted on an RS485 serial port; and the communication speed requirement is ensured, the communication data is accurate and reliable, and the communication event is responded quickly.
Drawings
FIG. 1 is a schematic diagram of a main hardware system of a platform according to the present invention;
FIG. 2 is a schematic diagram of the CO on-line monitoring system according to the present invention;
FIG. 3 is a schematic representation of the relationship between the volume fraction of O2 and the mass concentration of CO in the furnace according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Embodiment one:
As shown in fig. 1 and 2, the invention provides an intelligent online real-time monitoring and CO combustion analysis control platform, which comprises a DCS system, wherein the DCS system comprises a power station DCS data interface station, flue section grid gas analysis and measurement elements at two sides of an outlet of a coal economizer and a hearth ashes wind lower layer four-corner water-cooled wall gas analysis and measurement element, the power station DCS data interface station is electrically connected with a unidirectional data communication safety net gate, the unidirectional data communication safety net gate is electrically connected with a gigabit industrial data switch, the gigabit industrial data switch is electrically connected with a field SIS data system platform, the flue section grid gas analysis and measurement elements at two sides of the outlet of the coal economizer are electrically connected with a blowback unit, the blowback unit is electrically connected with a data acquisition transmitter and a CAN or RS485 field bus, the hearth ashes wind lower layer four-corner water-cooled wall gas analysis and measurement elements are also sequentially electrically connected with a blowback unit, the data acquisition transmitter and the CAN or RS485 field bus are electrically connected with a boiler combustion intelligent combustion control computer configuration monitor platform, and a computer-controlled boiler combustion control platform is electrically connected with a computer-configured monitor platform;
The grid gas analysis measuring element comprises a flue behind the economizer, a sampling unit is connected to the flue behind the economizer and used for acquiring soot in the flue behind the economizer, a sample gas treatment and control unit is connected to the sampling unit, an analysis unit is connected to the sample gas treatment and control unit, the sample gas treatment and control unit is used for further dedusting, dewatering, pressure regulation and flow regulation of collected sample gas, finally the treated sample gas is conveyed to an analysis instrument for detection according to required pressure and flow, the analysis unit is used for carrying out real-time and accurate analysis and recording on the sample gas entering the unit, and a DAS system is connected to the analysis unit and used for realizing storage and recording of data information.
In order to realize the installation and fixation of the sampling unit, maintain the accuracy of data sampling, realize comprehensive sampling and facilitate the realization of integration of data information, in the embodiment, preferably, the sampling unit adopts a grid method to perform gas sampling analysis on the sections of flues at two sides of an economizer outlet, before installing sampling points, the grid calibration of the sections of the flues at two sides and the selection of flow field representative points work, the selected points of the flues at the single side of the economizer outlet are 32 points, the points are led out from 8 sampling pipes, are connected to a data acquisition transmitter of gas analysis, and transmit data to an industrial control model configuration computer of the intelligent boiler combustion platform through an RS485 bus;
The gas analysis and measurement element for the four-corner water-cooled wall of the lower layer of the burning-out wind of the hearth is used for detecting nitrogen oxides and reducing gas of the burning-out layer at the upper part of the water-cooled wall, is arranged on fins between vertical pipes below the burning-out layer, is led out by drilling, the installation position of the leading-out pipe is positioned on four side walls with the strongest reducibility, and the total number of measuring points is in principle not less than 16 points for sampling and real-time measurement.
In order to realize the control and adjustment of the combustion of the boiler, keep the stability of data acquisition, reduce the emission of polluted gas, control the combustion process of the boiler, in this embodiment, preferably, the boiler further comprises a hearth, a horizontal flue, a front flue vertical shaft, a rear flue vertical shaft and a rear flue tail, wherein a partition screen superheater is arranged at the upper part of the hearth, a final-stage reheater and a final-stage superheater are arranged in the horizontal flue, a low-temperature reheater is arranged in the front flue vertical shaft, a low-temperature superheater and an economizer are horizontally arranged in the rear flue vertical shaft, a denitration device is arranged at the rear flue tail, and two three-compartment rotary air preheaters are arranged at the rear part.
In order to effectively realize control and regulation of combustion of a boiler and keep the safety of the boiler, in the embodiment, preferably, the separation superheater and the final superheater of the low-temperature superheater are radiation convection type superheaters, a superheated steam temperature system adopts coal-water ratio and two-stage spray water temperature reduction control, and adopts a screen type heating surface with wider transverse pitch to effectively prevent slag hanging on a pipe screen; the final-stage reheater and the low-temperature reheater are adjusted by adopting a flue gas baffle to adjust temperature and low-load excess air coefficient, and an accident water spray attemperator is arranged on a pipeline from a low re-outlet to a high re-inlet.
In order to realize accurate analysis and processing of the CO data, realize the analysis and processing through data synthesis, analyze the condition of multiple aspects of data, keep the accuracy, in this embodiment, preferably, the analysis unit combines the collected CO data with relevant parameters of combustion control in the DCS system, carries out real-time analysis and real-time adjustment on the combustion condition of the boiler, and promotes the stable and efficient combustion of the boiler;
besides CO data, other parameters of the platform mainly originate from the DCS system in the present place, the parameters are corrected through an optimization algorithm of multi-point data choosing and rejecting after being led out from the DCS system, and the DCS system adopts a gigabit industrial data switch installed at a unidirectional network gate outlet for data transmission.
In order to realize effective monitoring and adjustment and obtain data information, in this embodiment, preferably, after the configuration computer of the industrial control model of the intelligent boiler combustion platform is started, the boiler combustion state monitoring software is automatically opened and operated, the software reads system configuration parameters and relevant parameters of instrument operation from a local database, logs in the system by default with operator permission, the software detects whether each communication device is normally connected, if the connection fails, an alarm prompt is given, after the communication connection with the device is carried out, the sensor parameters and the flame video acquisition processing card parameters are remotely set according to the data obtained from the DCS system, and after the setting is finished, the monitoring software automatically acquires data.
In order to effectively realize authority control, prevent non-professional personnel from misoperation, and improve warning effect and assist maintenance, in this embodiment, preferably, the operator authority has functions of prohibiting operators from switching system interfaces through various shortcut keys, prohibiting software from minimizing and prohibiting exiting software operation;
the alarm prompt displays the occurrence time of the alarm event and the alarm details in detail and assists an operator to process the system fault.
In order to realize the display of the data information and facilitate the viewing and processing, in this embodiment, preferably, the monitoring display screen of the boiler operation panel is used for displaying the combustion state information of each layer in the boiler furnace, including the temperature in the furnace, the pulverized coal black dragon length of the burner, the combustion mixing intensity, the pulverized coal diffusion angle of the burner outlet, and refreshing in real time; double clicking on the label or value of each station displays a real-time dynamic curve of the station data and provides a remote parameter setting interface for various sensors and communication devices.
In order to ensure the communication rate requirement, the communication data is accurate and reliable, and the communication event is responded quickly, in the embodiment, preferably, the boiler combustion intelligent platform industrial control model configuration computer is provided with a plurality of serial communication interfaces, and 5-12 devices are mounted on each serial interface; the method comprises the steps of compiling a communication function by using a bottom communication driving interface of a C++ language and a Windows system, realizing a plurality of communication protocols, communicating with different kinds of equipment, and collecting data of a plurality of sensors mounted on an RS485 serial port in each communication period by using a polling mode; when the sensor detects, corresponding detection parameters need to be set, and in addition, software needs to realize remote reading and setting functions of the sensor parameters; the reading and setting functions of parameters are divided into manual reading, setting and automatic reading and setting; the operator remotely reads and sets the configuration parameters of the sensor through a software UI interface, and the software can automatically set the configuration parameters of the sensor according to the data acquired from the DCS system.
Analyzing the running state of the boiler in certain time periods in order to realize the trend curve of the observation historical data; in this embodiment, preferably, the boiler combustion intelligent platform industrial control model configuration computer establishes a complete database application management system, and stores hearth temperature information acquired by a temperature probe, flame image characteristic information calculated by a video acquisition processing card, unit operation data information acquired from a DCS system, configuration information of the temperature probe and the video acquisition card, and optimization control correction data information of a combustion control system into the established database;
When the monitoring software operates, a large amount of historical data is generated, and the data records combustion state parameters, unit operation data and configuration parameters in the hearth; the operator needs to query the software for historical data over a custom time period.
Embodiment two: in order to control and detect the combustion of the boiler;
air leakage test of air preheater
And installing a smoke sampling system on the cross section of the outlet and inlet of the air preheater according to the principle of the uniform cross section grid method, and continuously extracting smoke by using an EN2 smoke analyzer and a smoke sampling device for smoke component analysis during testing.
Boiler counter balance heat efficiency, auxiliary unit consumption and exhaust gas temperature calibration test
The boiler counter balance heat efficiency and auxiliary unit consumption test is carried out twice under the stable working condition of the boiler with agreed load, and the arithmetic average value of the two test results (the difference of the two heat efficiency test values is not more than 1 percent) is taken as the final test result. Before the formal test of the thermal efficiency of the boiler is carried out, a preliminary test is scheduled to be carried out in order to check the accuracy of the test device and to train the test staff.
A. During the preliminary test, thermocouples are arranged in the outlet flue of the air preheater by adopting a uniform cross-section grid method, and the exhaust gas temperature field is measured on site, and meanwhile, the dial exhaust gas temperature value is recorded;
b. Before the test starts, adjusting the load of the boiler under the working condition required by the test, and maintaining stable operation;
c. the duration of the test was two hours; when the test starts, confirming that the boiler is in a stable state; during the test, maintaining parameters in a specified variation range, and prohibiting the work of interference operation conditions such as soot blowing, pollution discharge, coking and the like;
d. Recording main operation parameters by using a DCS system online meter;
e. Raw coal samples are taken on a running coal feeder to analyze total moisture, industrial components and heating value, a large slag sample is taken at the bottom of the coal feeder to analyze the combustible content, a fly ash sample is taken in a tail flue to analyze the combustible content, and in addition, two times of boiler thermal efficiency tests are taken to input raw coal into the coal feeder to analyze element components;
f. Extracting a smoke sample in an outlet flue of the air preheater by adopting a uniform-section grid method, and analyzing smoke components of the smoke by using an EN2 smoke analyzer;
g. measuring the temperature of cold air in an inlet air channel of the blower by using a thermocouple or a data acquisition system;
h. Recording the input power of motors of the blower and the induced draft fan;
Test data processing and calculating method
Calculation of air leakage rate of air preheater
The air leakage rate of the air preheater is calculated by adopting the following calculation formula:
Wherein, A L is the air leakage rate of the air preheater,%;
Alpha' — the flue gas excess air factor at the inlet of the air preheater;
α "-the flue gas excess air factor at the outlet of the air preheater;
flue gas excess air ratio α=21/(21—the oxygen content of flue gas here).
Calculation of counter-balance thermal efficiency of boiler
A. counter balance heat efficiency of boiler
Qr＝Qnet,ar
Wherein Q r is the boiler input heat, kJ/kg;
q net,ar -the coal fed into the furnace receives the basic low-position heating value, kJ/kg;
Q 2 -heat loss from exhaust smoke, kJ/kg;
q 3 -heat loss from incomplete combustion of combustible gas, kJ/kg; q 4 -heat loss from the solid incomplete combustion flue gas, kJ/kg;
Q 5 -Heat loss heat dissipation, kJ/kg;
q 6 -physical heat loss of ash and kJ/kg;
q 2 -heat loss from flue gas,%;
q 3 -loss of combustible gas from incomplete combustion,%;
q 4 -solid incomplete combustion heat loss,%;
q 5 -heat loss by heat dissipation,%;
q 6 -physical heat loss of ash,%.
Heat loss from exhaust smoke
CO2+O2+CO+N2＝100
In the method, in the process of the invention,-Heat taken away by the dry flue gas, kJ/kg;
Sensible heat of water vapor contained in flue gas, kJ/kg;
V gy -the actual dry flue gas volume generated by burning the coal into the furnace, m3/kg;
Steam generated by coal entering the furnace and the volume of the steam brought by corresponding air moisture are m3/kg;
θ py —exhaust gas temperature, DEG C;
t 0 -blower inlet air temperature, DEG C;
c p,py -average specific heat at constant pressure of dry flue gas from t 0 to θ py, kJ/(kg.K);
The average constant pressure specific heat capacity of the water vapor from t 0 to theta py is 1.51 kJ/(kg.K);
-the amount of dry smoke required for theoretical combustion, m3/kg, calculated from the actual carbon burned off;
-the amount of dry air required for theoretical combustion, m3/kg, calculated from the actual carbon burned off;
Alpha py -excess air ratio at the outlet of the air preheater;
-the ratio of the average carbon content in the ash to the amount of the charged coal ash%
Percentage by mass of carbon actually burned,%
N ar -the coal charged into the furnace receives basal hydrogen,%;
a ar -the coal entering the furnace receives the base ash,%;
Alpha lz, wherein the ash content in the furnace slag accounts for 10 percent of the mass content of the total ash content of the coal fed into the furnace;
alpha fh, the mass content percentage of ash in fly ash accounting for the total ash amount of coal entering a furnace, is 90%;
-carbon content in slag,%;
-carbon content in fly ash,%;
O 2、CO、CO2、N2 -is the volume content percentage of oxygen, carbon monoxide, carbon dioxide and nitrogen in the smoke-discharging dry flue gas respectively,%;
-average specific heat at constant pressure, kJ/(kg·k), for oxygen, carbon monoxide, carbon dioxide and nitrogen, respectively;
d k -absolute humidity of ambient air, 0.01kg/kg.
Heat loss from incomplete combustion of combustible gas
Heat loss from incomplete combustion of solids
Heat dissipation loss
In the method, in the process of the invention,-Boiler heat dissipation loss under rated conditions,%.
Physical heat loss of ash
In the formula, t lz is the temperature of slag discharged from a hearth, and the temperature is 800 ℃;
c lz -specific heat capacity of slag, kJ/(kg.K);
c fh -specific heat capacity of fly ash, kJ/(kg.K).
Calculation of auxiliary machine power consumption rate
In the formula, E fj is the unit consumption of auxiliary machines, kW.h/t steam;
P fj -auxiliary motor input power, kW.
Experiment:
Air leakage of air preheater
The test shows that the air leakage rate of the air preheater on the side A is 7.11%, the air leakage rate of the air preheater on the side B is 7.86%, and the test data of the air leakage of the air preheater are shown in Table 3.
The meter is an air preheater air leakage data meter
Boiler counter balance thermal efficiency test
DCS smoke exhaust temperature calibration
During the preliminary test, the flue gas temperature field test is carried out at the outlet measuring point of the air preheater, dial display data are recorded at the same time, and the calibration coefficient of the flue gas temperature field is calculated, wherein the main data are as follows:
The table is fume temperature calibration data
The boiler was tested for the heat efficiency of the counter balance of the boiler at two operating points at which the load was agreed, and the main data of the test are shown in the following table. The thermal efficiency of the two tests after correction of cold air temperature and water supply temperature deviation is 91.192% and 91.170%, the difference is 0.022% and less than 1%, so that the final result of the thermal efficiency test of the boiler is 91.18% of the average value of the two test values.
The table is the main data of the reverse balance thermal efficiency test
/>
/>
As shown in FIG. 3, a boiler combustion control scheme
The air excess factor α is critical in determining the degree of combustion and burnout. If alpha is too large, the heat loss of the boiler exhaust smoke will increase, the NOx emission will also increase, but the CO emission mass concentration will obviously decrease; conversely, when alpha is too small, the combustion of the boiler is deteriorated, the CO emission mass concentration is obviously increased, and the incomplete combustion heat loss is increased. Thus, there is an optimal region for α (see FIG. 3 near regime 2 region) and the boiler efficiency is highest. In fig. 3: the working condition 1 is that the combustion system has partial wind lack; working condition 2 is a recommended oxygen control point; the working condition 3 is oxygen-enriched combustion, and the heat loss of the boiler is larger; the working condition 4 is that the air leakage rate of the flue is large. The conventional strategy of correcting the air-coal ratio by O2 is adopted for controlling the air quantity of the coal-fired unit. Due to the defects of hysteresis of the O2 measurement for combustion reflection, low measurement precision and the like, the air-coal ratio of boiler combustion is not proper in comparison with actual proportioning. The method is reflected in that the air quantity is large in the low-load stage, the power consumption of the fan is increased, the NOx emission amount is high, and the smoke exhaust loss is increased; when the high-load stage unit performs automatic power generation control (AGC) or coordinates load changing action, the fuel changes rapidly, the air quantity is not timely supplied, partial oxygen deficiency is caused in combustion, the CO emission mass concentration is obviously increased, unburnt loss is increased, and the boiler efficiency is reduced. Therefore, the main cause of the decrease in boiler efficiency is: the correction setting of the air-coal ratio in the furnace is incorrect and the dynamic air quantity proportioning is unreasonable, so that the smoke exhaust heat loss and the incomplete combustion heat loss are respectively increased. The boiler operation air quantity can be timely adjusted on line by optimizing a control strategy through an accurate CO emission monitoring technology. The control strategy of the existing analog quantity control system of the checking unit mainly comprises air quantity control, oxygen quantity control and secondary air control. The output of the coal mill is normal, the fineness of the pulverized coal is reasonable, and the primary air pipeline anemometer at the outlet of the coal mill is monitored to ensure the primary air pipeline air quantity at the outlet of the coal mill to be basically balanced. The unit application exits the AGC system, exits the coordination control, opens the fuel loop, keeps the load of the unit stable, exits the hearth pressure difference of the secondary air automatically, controls the air quantity automatically, and records the CO emission mass concentration. And collecting basic data for calculating the relative boiler efficiency, and completing the calculation and analysis of the relative boiler efficiency. Due to the different sensitivity of CO measurement to alpha, the CO emission mass concentration changes faster when alpha is lower and very slowly when alpha is higher. The CO emission mass concentration trend is basically similar to the incomplete combustion heat loss trend, the trend is suddenly increased when under-oxygen combustion becomes combustion, and the trend is gentle when oxygen-enriched combustion is performed (see figure 3). And (3) finding out a CO emission mass concentration mutation sensitive area of the test unit, namely basically finding out low peroxy air quantity proportioning, and verifying the test trend to reflect that the CO emission mass concentration mutation sensitive area is basically close to the optimal area of the integral combustion air distribution. Therefore, the sensitive area of the mass concentration of CO emission of the unit is verified and determined to become an important reference index of the total amount of air distribution of the unit, the air distribution amount is reduced when the oxygen is burnt, and the air distribution amount is increased when the oxygen is burnt.
Embodiment III: adding a secondary monitoring point;
And (3) carrying out gas sampling analysis on the sections of the flues at the two sides of the outlet of the economizer by adopting a grid method, and carrying out grid calibration and flow field representative point selection work on the sections of the flues at the two sides according to relevant boiler test standards before installing sampling measuring points. The measuring point selected by the single-side flue at the outlet of the coal economizer is 32 points, is led out from 8 sampling pipes, is connected to a sampling transmitter for gas analysis, and transmits data to a platform industrial personal computer through an RS485 bus.
The power plant completes the reconstruction work of the low-nitrogen burner, but the combustion state is greatly changed due to the larger deviation from the designed burner. The main purpose of low nitrogen combustion adjustment is to optimize the influence of reducing atmosphere on coking, furnace temperature, denitrification, thermal deviation and flue gas uniformity. The platform monitors the smoke components at the edge of the water-cooled wall by installing measuring points on the water-cooled wall below the burnout bed, combines the running parameters of the wall temperature, the smoke temperature and the steam-water temperature of the hearth, and provides the adjustment mode and the monitoring means of the burnout wind and the secondary wind of each corner for operators through model calculation.
The installation position of the eduction tube is positioned on the fin between the vertical tubes below the burn-out bed, the drill holes are educed and installed, the total measuring point number is formulated according to the power plant requirement, and in principle, the sampling of at least 16 points is measured in real time.
Through the sampling monitoring system, the accurate sampling and analysis of smoke components (mainly O2, CO and the like, formulated according to the combustion conditions of the power plant hearth) are realized. The measuring equipment such as the sampling unit, the sample gas processing unit, the back blowing unit and the switch should be able to be effectively applied to various complex working conditions on site, and is rational in infrastructure, stable in performance, response time is fast, easy and simple to handle, and the maintenance volume is little.
When the flue gas sampling measurement is carried out in the flue of the coal-fired boiler, the sampling probe is an important link and can be influenced by severe conditions such as hot gas flow flushing, flue gas corrosion, smoke blockage and the like. Whether the configuration is correct directly relates to whether the sampling system can normally and stably operate, 64 network grid points are taken on the sections of flues at two sides of the outlet of the economizer, sampling is carried out by leading out 8 pipes, and no sampling device is arranged on the water-cooled wall. The measurement parameters are mainly used for accurately judging the local anoxic state in the flue gas laminar flow from the outlet of the hearth, providing a numerical monitoring and correcting method for model calculation for partial combustion and non-uniformity of combustion of the hearth, and providing a more detailed independent monitoring means for the combustion state in the furnace for operators.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. Intelligent on-line real-time monitoring CO combustion analysis control platform, including the DCS system, its characterized in that: the DCS system comprises a power station DCS data interface station, flue section grid gas analysis and measurement elements at two sides of an outlet of an economizer and a hearth asher wind lower layer four-corner water-cooled wall gas analysis and measurement element, wherein the power station DCS data interface station is electrically connected with a unidirectional data communication safety net gate, the unidirectional data communication safety net gate is electrically connected with a gigabit industrial data switch, the gigabit industrial data switch is electrically connected with a site SIS data system platform, the flue section grid gas analysis and measurement elements at two sides of the outlet of the economizer are electrically connected with a blowback unit, the blowback unit is electrically connected with a data acquisition transmitter and a CAN or RS485 field bus, the hearth asher wind lower layer four-corner water-cooled wall gas analysis and measurement element is also electrically connected with a blowback unit, a data acquisition transmitter and a CAN or RS485 field bus in sequence, and the gigabit industrial data switch and the CAN or RS485 field bus are electrically connected with a boiler combustion intelligent platform industrial control model configuration computer, and the boiler combustion intelligent platform industrial control model configuration computer is electrically connected with a boiler operation panel monitoring display panel;
The grid gas analysis and measurement element comprises an economizer back flue, wherein a sampling unit is connected to the economizer back flue, the sampling unit is used for acquiring soot in the economizer back flue, a sample gas treatment and control unit is connected to the sampling unit, an analysis unit is connected to the sample gas treatment and control unit, the sample gas treatment and control unit is used for further dedusting, dewatering, pressure regulation and flow regulation of collected sample gas, finally the treated sample gas is conveyed to an analysis instrument for detection according to required pressure and flow, the analysis unit is used for carrying out real-time and accurate analysis and recording on the sample gas entering the unit, and a DAS system is connected to the analysis unit and is used for realizing storage and recording of data information;
The sampling unit performs gas sampling analysis on the sections of the flues at two sides of the outlet of the economizer by adopting a grid method, before sampling measuring points are installed, grid calibration and flow field representative point selection work are performed on the sections of the flues at two sides, the measuring points selected by the flues at the single side of the outlet of the economizer are 32 points, the measuring points are led out from 8 sampling pipes, connected to a data acquisition transmitter for gas analysis, and data are transmitted to an industrial control model configuration computer of the intelligent boiler combustion platform through an RS485 bus;
The gas analysis and measurement element of the four-corner water-cooled wall of the lower layer of the burning-out wind of the hearth is used for detecting nitrogen oxides and reducing gas of the burning-out layer at the upper part of the water-cooled wall, the gas analysis and measurement element is arranged on fins between vertical pipes below the burning-out layer, holes are drilled and led out, the installation position of the leading-out pipe is positioned on four side walls with the strongest reducibility, and the total number of measuring points is in principle not less than 16 points for sampling and real-time measurement;
The analysis unit combines the collected CO data with related parameters of combustion control in the DCS system, carries out real-time analysis and real-time adjustment on the combustion condition of the boiler, and promotes the stable and efficient combustion of the boiler;
besides CO data, other parameters of the platform mainly originate from the DCS system in the present place, the parameters are corrected through an optimization algorithm of multi-point data choosing and rejecting after being led out from the DCS system, and the DCS system adopts a gigabit industrial data switch installed at a unidirectional network gate outlet for data transmission.
2. The intelligent on-line real-time monitoring CO combustion analysis control platform of claim 1, wherein: the flue gas treatment device is characterized by further comprising a hearth, a horizontal flue, a front flue vertical shaft, a rear flue vertical shaft and a rear flue tail, wherein a partition screen superheater is arranged on the upper portion of the hearth, a final-stage reheater and a final-stage superheater are arranged in the horizontal flue, a low-temperature reheater is arranged in the front flue vertical shaft, a low-temperature superheater and a coal economizer are horizontally arranged in the rear flue vertical shaft, a denitration device is arranged at the rear flue tail, and two three-compartment rotary air preheaters are arranged at the rear portion of the rear flue.
3. The intelligent on-line real-time monitoring CO combustion analysis control platform of claim 2, wherein: the low-temperature superheater, the separation screen superheater and the final-stage superheater are radiation convection type superheaters, a superheated steam temperature system adopts coal-water ratio and two-stage water spraying attemperation control, and a screen type heating surface with wider transverse pitch is adopted, so that tube screen slag hanging is effectively prevented; the final-stage reheater and the low-temperature reheater are adjusted by adopting a flue gas baffle to adjust temperature and low-load excess air coefficient, and an accident water spray attemperator is arranged on a pipeline from a low re-outlet to a high re-inlet.
4. The intelligent on-line real-time monitoring CO combustion analysis control platform of claim 1, wherein: after the boiler combustion intelligent platform industrial control model configuration computer is started, boiler combustion state monitoring software is automatically started and operated, system configuration parameters and instrument operation related parameters are read from a local database by the software, an operator authority is used for logging in the system by default, whether each communication device is normally connected or not is detected by the software, if the communication device is connected in a failure mode, an alarm prompt is given, after the communication device is connected with the device in a communication mode, sensor parameters and flame video acquisition processing card parameters are remotely set according to data acquired from the DCS system, and after the setting is finished, the monitoring software automatically acquires the data.
5. The intelligent on-line real-time monitoring CO combustion analysis control platform of claim 4, wherein: the operator permission has the functions of prohibiting operators from switching system interfaces through various shortcut keys, prohibiting software from minimizing and prohibiting exiting software operation;
the alarm prompt displays the occurrence time of the alarm event and the alarm details in detail and assists an operator to process the system fault.
6. The intelligent on-line real-time monitoring CO combustion analysis control platform of claim 1, wherein: the monitoring display screen of the boiler operation panel is used for displaying the combustion state information of each layer in the boiler hearth, including the temperature in the hearth, the pulverized coal black dragon length of the burner, the combustion mixing intensity and the pulverized coal diffusion angle at the outlet of the burner, and refreshing in real time; double clicking on the label or value of each station displays a real-time dynamic curve of the station data and provides a remote parameter setting interface for various sensors and communication devices.
7. The intelligent on-line real-time monitoring CO combustion analysis control platform of claim 1, wherein: the boiler combustion intelligent platform industrial control model configuration computer is provided with a plurality of serial communication interfaces, and 5-12 pieces of equipment are mounted on each serial communication interface; the method comprises the steps of compiling a communication function by using a bottom communication driving interface of a C++ language and a Windows system, realizing a plurality of communication protocols, communicating with different kinds of equipment, and collecting data of a plurality of sensors mounted on an RS485 serial port in each communication period by using a polling mode; when the sensor detects, corresponding detection parameters need to be set, and in addition, software needs to realize remote reading and setting functions of the sensor parameters; the reading and setting functions of parameters are divided into manual reading, setting and automatic reading and setting; the operator remotely reads and sets the configuration parameters of the sensor through a software UI interface, and the software can automatically set the configuration parameters of the sensor according to the data acquired from the DCS system.
8. The intelligent on-line real-time monitoring CO combustion analysis control platform of claim 1, wherein: the boiler combustion intelligent platform industrial control model configuration computer establishes a complete database application management system, and stores hearth temperature information acquired by a temperature probe, flame image characteristic information calculated by a video acquisition processing card, unit operation data information acquired from a DCS (distributed control system), configuration information of the temperature probe and the video acquisition card and optimization control correction data information of a combustion control system into the established database;
When the monitoring software operates, a large amount of historical data is generated, and the data records combustion state parameters, unit operation data and configuration parameters in the hearth; the operator needs to query the software for historical data over a custom time period.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210493624.6A CN114963229B (en) | 2022-05-07 | 2022-05-07 | Intelligent online real-time monitoring CO combustion analysis control platform |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210493624.6A CN114963229B (en) | 2022-05-07 | 2022-05-07 | Intelligent online real-time monitoring CO combustion analysis control platform |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114963229A CN114963229A (en) | 2022-08-30 |
| CN114963229B true CN114963229B (en) | 2024-06-04 |
Family
ID=82971100
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210493624.6A Active CN114963229B (en) | 2022-05-07 | 2022-05-07 | Intelligent online real-time monitoring CO combustion analysis control platform |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114963229B (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CA2240730A1 (en) * | 1996-12-30 | 1998-07-09 | Honda Giken Kogyo Kabushiki Kaisha | Combustion equipment for flue gas exhausting plants |
| WO2001061297A2 (en) * | 2000-02-16 | 2001-08-23 | Asociacion De Investigacion Y Cooperacion Industrial De Andalucia (Aicia) | Combustion process optimisation system by means of direct measurements inside the furnace |
| CN101504151A (en) * | 2008-12-19 | 2009-08-12 | 惠德时代能源科技(北京)有限公司 | Mounting process for boiler oxygen content test system |
| CN206890567U (en) * | 2017-01-12 | 2018-01-16 | 武汉恒泰思创电力技术有限公司 | A kind of coal-fired boiler combustion monitoring system based on CO detections |
| CN111981470A (en) * | 2020-09-03 | 2020-11-24 | 浙江浙能技术研究院有限公司 | Opposed-wall/arch combustion boiler combustion system intelligent optimization adjustment system and method |
| CN113418207A (en) * | 2021-06-11 | 2021-09-21 | 北京必可测科技股份有限公司 | Power station hearth combustion monitoring and diagnosing device and method |
-
2022
- 2022-05-07 CN CN202210493624.6A patent/CN114963229B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CA2240730A1 (en) * | 1996-12-30 | 1998-07-09 | Honda Giken Kogyo Kabushiki Kaisha | Combustion equipment for flue gas exhausting plants |
| WO2001061297A2 (en) * | 2000-02-16 | 2001-08-23 | Asociacion De Investigacion Y Cooperacion Industrial De Andalucia (Aicia) | Combustion process optimisation system by means of direct measurements inside the furnace |
| CN101504151A (en) * | 2008-12-19 | 2009-08-12 | 惠德时代能源科技(北京)有限公司 | Mounting process for boiler oxygen content test system |
| CN206890567U (en) * | 2017-01-12 | 2018-01-16 | 武汉恒泰思创电力技术有限公司 | A kind of coal-fired boiler combustion monitoring system based on CO detections |
| CN111981470A (en) * | 2020-09-03 | 2020-11-24 | 浙江浙能技术研究院有限公司 | Opposed-wall/arch combustion boiler combustion system intelligent optimization adjustment system and method |
| CN113418207A (en) * | 2021-06-11 | 2021-09-21 | 北京必可测科技股份有限公司 | Power station hearth combustion monitoring and diagnosing device and method |
Non-Patent Citations (4)
| Title |
|---|
| 浅谈烟气CO装置在650MW机组中的应用;英正飞;;自动化博览;20171215(第12期);全文 * |
| 火电机组一次调频控制策略优化及应用;郑熙;;电站***工程;20200430(第03期);全文 * |
| 火电机组烟气中CO在线测量方法对比研究;郝剑;周佩丽;彭志敏;丁艳军;;洁净煤技术;20191115(第06期);全文 * |
| 燃煤电厂SO_3控制及脱除技术研究进展;刘秀如;赵勇;孙漪清;胡小夫;陈锋;;电力科学与工程;20180228(第02期);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114963229A (en) | 2022-08-30 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103148473B (en) | Optimal operation method and system for utility boiler based on CO | |
| CN111426649B (en) | Boiler furnace near water-cooled wall reducing atmosphere testing and combustion optimizing adjusting system | |
| CN102734782B (en) | Coal burning boiler energy efficiency monitoring method | |
| WO2014172818A1 (en) | Combustion optimization and control system based on measurement of furnace temperature field via sound wave and control method therefor | |
| CN111396920A (en) | Thermal power generating unit and boiler combustion monitoring method and system based on CO measurement | |
| CN112131517B (en) | Method for measuring and calculating lower calorific value of garbage in garbage incineration power plant | |
| CN109611813A (en) | A kind of boiler efficiency on-line monitoring method and system | |
| CN101486917B (en) | Coke oven alpha value on-line detecting system and coke oven heating system regulating method | |
| CN103134328A (en) | Method and device for industrial furnace atmosphere automatic combustion control | |
| CN112664975B (en) | Air volume control method suitable for pulverized coal fired boiler | |
| CN116148321A (en) | CEMS system data processing-based high-precision carbon emission monitoring system | |
| CN113418207B (en) | Power station hearth combustion monitoring and diagnosing device and method | |
| CN108073763B (en) | Method for measuring fly ash carbon content of power station boiler | |
| CN114963229B (en) | Intelligent online real-time monitoring CO combustion analysis control platform | |
| CN112797399A (en) | Combustion system and method suitable for preventing high-temperature corrosion of opposed combustion boiler | |
| CN112664926A (en) | Novel combustion system and method suitable for preventing high-temperature corrosion of four-corner tangential boiler | |
| CN116697392A (en) | Online monitoring method for carbon burnout coefficient of pulverized coal boiler | |
| CN102288632B (en) | Method for measuring ignition point of wind powder mixture in coal burning boiler | |
| CN111678167B (en) | Ultra-supercritical coal-fired unit boiler full-air-powder online control system | |
| CN113419025A (en) | Coke oven air excess coefficient real-time monitoring device and adjusting method | |
| Ming | Research and application of computer data mining technology in energy saving and emission reduction of thermal power plant | |
| CN216203287U (en) | Combustion system suitable for opposed firing boiler prevents high temperature corrosion | |
| CN217877178U (en) | Double-heat-storage heating furnace combustion control system | |
| CN214894995U (en) | Accurate control low oxygen combustion CO on-line monitoring device | |
| CN215767863U (en) | Sampling device of online continuous detection system for flue gas emission |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB03 | Change of inventor or designer information | ||
| CB03 | Change of inventor or designer information |
Inventor after: Song Zhiyu Inventor after: Jiang Weiwei Inventor after: Liu Xiu Inventor after: Han Jiting Inventor after: Lu Shaobo Inventor after: Zhang Dan Inventor after: Wang Ning Inventor after: Zhao Mingliang Inventor after: Guo Shuai Inventor before: Liu Xiu Inventor before: Han Jiting Inventor before: Jiang Weiwei Inventor before: Song Zhiyu Inventor before: Lu Shaobo Inventor before: Zhang Dan Inventor before: Wang Ning Inventor before: Zhao Mingliang Inventor before: Guo Shuai |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |