CN113654026A - Intelligent boiler combustion optimization system based on electric energy - Google Patents
Intelligent boiler combustion optimization system based on electric energy Download PDFInfo
- Publication number
- CN113654026A CN113654026A CN202110998644.4A CN202110998644A CN113654026A CN 113654026 A CN113654026 A CN 113654026A CN 202110998644 A CN202110998644 A CN 202110998644A CN 113654026 A CN113654026 A CN 113654026A
- Authority
- CN
- China
- Prior art keywords
- module
- boiler
- data
- detection module
- electrically connected
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000002485 combustion reaction Methods 0.000 title claims abstract description 103
- 238000005457 optimization Methods 0.000 title claims abstract description 42
- 238000001514 detection method Methods 0.000 claims abstract description 79
- 239000003245 coal Substances 0.000 claims abstract description 56
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 claims description 12
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 claims description 12
- 229910052799 carbon Inorganic materials 0.000 claims description 12
- 239000003546 flue gas Substances 0.000 claims description 10
- 230000005540 biological transmission Effects 0.000 claims description 8
- 238000013500 data storage Methods 0.000 claims description 7
- 239000010881 fly ash Substances 0.000 claims description 6
- 239000003344 environmental pollutant Substances 0.000 claims description 4
- 238000012544 monitoring process Methods 0.000 claims description 4
- 231100000719 pollutant Toxicity 0.000 claims description 4
- 238000010586 diagram Methods 0.000 description 14
- 239000000779 smoke Substances 0.000 description 8
- MWUXSHHQAYIFBG-UHFFFAOYSA-N Nitric oxide Chemical compound O=[N] MWUXSHHQAYIFBG-UHFFFAOYSA-N 0.000 description 6
- 230000006872 improvement Effects 0.000 description 4
- 230000000694 effects Effects 0.000 description 3
- 238000000034 method Methods 0.000 description 3
- 239000002245 particle Substances 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 229910002091 carbon monoxide Inorganic materials 0.000 description 2
- 238000007405 data analysis Methods 0.000 description 2
- 238000009826 distribution Methods 0.000 description 2
- 239000000428 dust Substances 0.000 description 2
- 230000001105 regulatory effect Effects 0.000 description 2
- 230000009466 transformation Effects 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 150000001875 compounds Chemical class 0.000 description 1
- 230000001276 controlling effect Effects 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000003063 flame retardant Substances 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000000843 powder Substances 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
Images
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F22—STEAM GENERATION
- F22B—METHODS OF STEAM GENERATION; STEAM BOILERS
- F22B35/00—Control systems for steam boilers
- F22B35/18—Applications of computers to steam boiler control
Landscapes
- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Physics & Mathematics (AREA)
- Thermal Sciences (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Regulation And Control Of Combustion (AREA)
- Control Of Steam Boilers And Waste-Gas Boilers (AREA)
Abstract
The invention provides an intelligent boiler combustion optimization system based on electric power energy, which comprises a terminal server, wherein an electrical output end of the terminal server is electrically connected with an operation server, and the electrical output end of the operation server is respectively and electrically connected with a data comparison module, a boiler combustion detection module, a boiler combustion optimization module and a boiler control module. The boiler intelligent combustion optimization system based on the electric energy provided by the invention has the advantages that the fineness of coal quality and the speed of pulverized coal entering a boiler are optimized, the pollution to the environment can be reduced, and the boiler combustion efficiency is improved.
Description
Technical Field
The invention relates to the technical field of electric power, in particular to an intelligent combustion optimization system of a boiler based on electric power energy.
Background
Electric power is energy using electric energy as power, the discovery and application of electric power has raised the second industrialized climax, and has become one of three scientific and technological revolution which occur in the world since 18 th century of human history, the life of people is changed by science from this science and technology, a large-scale electric power system appearing in 20 th century is one of the most important achievements in the science history of human engineering, and the electric power system is an electric power production and consumption system which is composed of links of power generation, power transmission, power transformation, power distribution, power utilization and the like, and converts the primary energy in the nature into electric power through a mechanical energy device, and then supplies the electric power to each user through the power transmission, the power transformation and the power distribution.
At present, thermal power plant need generate electricity through the burning of coal quality in the boiler inside when carrying out thermal power, but pulverized coal concentration and velocity of flow have comparatively critical effect to the normal steady operation of boiler in combustion process, and the boiler can produce a large amount of carbon monoxide and nitrogen oxide when burning simultaneously, causes certain pollution to the environment.
Disclosure of Invention
In order to solve the technical problems, the invention provides the boiler intelligent combustion optimization system based on the electric energy, which can optimize the fineness of coal quality and the speed of pulverized coal entering a boiler, reduce the pollution to the environment and improve the boiler combustion efficiency.
The invention is realized by adopting the following technical scheme:
the utility model provides a boiler intelligence burning optimal system based on electric power energy, includes terminal server, terminal server's electrical property output electric connection has operation server, operation server's electrical property output electric connection has data comparison module, boiler burning detection module, boiler burning optimal module, boiler control module and boiler burning intelligent regulation module respectively.
The invention has the further improvement that the electrical output end of the boiler combustion detection module is respectively and electrically connected with a temperature acquisition module, a boiler load detection module, a fly ash carbon content detection module and a flue gas content detection module, and the electrical output end of the temperature acquisition module is electrically connected with a hearth center temperature detection module and a flue gas temperature detection module.
The invention has the further improvement that the electrical output end of the smoke content detection module is respectively and electrically connected with a CO content detection module and an NOx content detection module, and the electrical output ends of the CO content detection module and the NOx content detection module are both electrically connected with a first air feeder.
The invention has the further improvement that the electrical output end of the boiler load detection module is respectively and electrically connected with a boiler wind pressure detection module and a pulverized coal concentration detection module, and the electrical output end of the pulverized coal concentration detection module is electrically connected with a pulverized coal machine.
The invention is further improved in that when the boiler load detection module detects that the load of the boiler is lower than 60%, an electric signal is not transmitted to the control server, and data detected by the fly ash carbon content detection module is compared with theoretical carbon content data of boiler coal in the server.
The invention is further improved in that the electrical output end of the data comparison module is electrically connected with a data transmission module, a database and a data storage module respectively, and the electrical output end of the data transmission module is electrically connected with a data optimization module.
The invention is further improved in that the electrical output end of the boiler combustion intelligent adjusting module is electrically connected with the electrical input end of the database, and the electrical output end of the database is electrically connected with the wind speed intelligent adjusting module, the pulverized coal concentration intelligent adjusting module, the pollutant monitoring module and the intelligent early warning module.
The invention is further improved in that the data storage module stores the data of each combustion of the boiler and the optimization condition data and uploads the data to the database for backup, and the data optimization module compares the data of the load detection module and the temperature detection module with the data in the database.
The invention has the further improvement that the electrical output end of the boiler combustion optimization module is respectively and electrically connected with a combustion-supporting module, a load control module, a pulverized coal concentration control module and a temperature control module, and the electrical output end of the load control module is respectively and electrically connected with a second air feeder and a suction fan.
The invention is further improved in that the electrical output end of the pulverized coal concentration control module is electrically connected with a pulverized coal machine, and the electrical output end of the boiler control module is respectively and electrically connected with a fan rotating speed adjusting module, a pulverized coal feeder rotating speed adjusting module, a pulverized coal fineness adjusting module and a burner swing angle adjusting module.
Compared with the related art, the intelligent combustion optimization system of the boiler based on the electric energy has the following beneficial effects:
1. the invention can detect the combustion condition of the coal in the boiler and detect the temperature, the air pressure and the like in the boiler when the boiler is combusted by arranging the boiler combustion detection module, the detected data is transmitted to the terminal server for backup, thereby being convenient for workers to read the data and search problems, the invention can detect and compare the combustion condition of the boiler by arranging the data comparison module after the data detected by the boiler combustion detection module is transmitted to the terminal server and transmitting the data to the data comparison module through an electric signal, and simultaneously transmits the overall data to the database, thereby being convenient for continuously optimizing and improving the combustion efficiency of the boiler, and by arranging the boiler combustion intelligent adjustment module, each data in each combustion of the boiler can be uploaded to the database, when the next combustion is carried out, the boiler combustion intelligent adjusting module can read data in a database through an electric signal, further through optimal combustion condition data in the database, the combustion condition inside the boiler is adjusted through the wind speed intelligent adjusting module and the pulverized coal concentration intelligent adjusting module, further, the boiler combustion efficiency is improved, through the arrangement of the boiler combustion optimizing module, after data analysis of the data comparison module is finished, a worker operating the server can control the boiler combustion optimizing module according to the analyzed data, further, the boiler combustion efficiency is optimized, through the arrangement of the boiler control module, the worker can conveniently adjust the combustion condition of the boiler through the control server, further, the boiler combustion efficiency is improved, the pollution to the environment is reduced, and the problem that the pulverized coal concentration and the flow velocity have a more key effect on normal and stable operation of the boiler in the combustion process is solved, meanwhile, a large amount of carbon monoxide and nitrogen oxide can be generated during combustion of the boiler, so that certain pollution is caused to the environment;
2. the invention can detect and collect the central temperature data of the hearth in the combustion process of the boiler by arranging the temperature acquisition module, can detect and collect the smoke temperature of the smoke outlet of the boiler at the same time, is convenient for workers to judge the combustion condition in the boiler according to the collected data so as to optimize and adjust the combustion condition in the boiler, can generate a certain amount of CO and NOx when the coal is combusted in the boiler by arranging the CO content detection module and the NOx content detection module, can judge whether the coal is fully combusted by detecting the concentration of the CO and the NOx in the smoke and comparing the content of the CO and the NOx when the coal in the boiler is combusted at the highest efficiency, thereby being convenient for the workers to know the built-in combustion condition in the boiler and simultaneously being convenient for the workers to process and collect the discharged smoke, the environment pollution is reduced, the wind speed of pulverized coal blown into the boiler can be detected by arranging the boiler wind pressure detection module and the pulverized coal concentration detection module, so that the combustion condition of the coal quality in the boiler is known and judged, further, workers can conveniently know the load degree of the boiler, meanwhile, the particle size of the pulverized coal can be judged and optimized, by arranging the data optimization module, after the data detected by the boiler combustion detection module is transmitted to the data storage module, the data optimization module integrates and analyzes the data according to the comprehensive data in the database, further, the curve prediction is carried out on the combustion condition of the existing coal quality, then, the predicted data is tidied and transmitted to the control server through electric signals, the workers can conveniently and finely know the combustion condition of the boiler, and simultaneously, the workers can conveniently and optimally combust the boiler, by arranging the pollutant monitoring module, the smoke generated during the combustion of the boiler can be monitored, when the smoke exceeds a threshold value, the smoke can give out early warning to workers, by arranging the pulverized coal concentration control module, the combustion condition in the boiler can be influenced when the pulverized coal concentration is too high or too low, the workers can control the combustion of coal in the boiler by controlling the particle size of pulverized coal, the combustion efficiency of the boiler is optimized, by arranging the fan rotating speed adjusting module, the powder feeder rotating speed adjusting module, the pulverized coal fineness adjusting module and the burner swing angle adjusting module, the factors influencing the combustion condition in the boiler can be adjusted, the speed of pulverized coal entering the boiler, the size of pulverized coal particles, the flame ignition angle of the burner and the wind pressure in the boiler are controlled, and the optimized control of the combustion of the boiler can be realized, through setting up flying dust carbon content detection module, the carbon content through the inside flying dust of boiler detects the back and contrasts with the inside carbon content of coal quality, and then can know the burning condition of coal quality, the staff of being convenient for optimizes the burning condition of coal quality, through setting up the database, can contrast and record boiler burning condition and data at every turn, the follow-up boiler burning condition of being convenient for is optimized, the staff of being convenient for simultaneously reads boiler burning condition data, it is intact whether to check the boiler.
Drawings
FIG. 1 is a block diagram of an intelligent combustion optimization system for a boiler based on electric energy according to a preferred embodiment of the present invention;
FIG. 2 is a block diagram of the boiler combustion detection module of the present invention;
FIG. 3 is a block diagram of the structure of a boiler load detection module according to the present invention;
FIG. 4 is a block diagram of a data comparison module according to the present invention;
FIG. 5 is a block diagram of the intelligent regulating module for boiler combustion according to the present invention;
FIG. 6 is a block diagram of the configuration of the boiler combustion optimization module of the present invention;
FIG. 7 is a block diagram of the structure of a boiler control module according to the present invention.
Detailed Description
The invention is further described with reference to the following figures and embodiments.
Referring to fig. 1, fig. 2, fig. 3, fig. 4, fig. 5, fig. 6 and fig. 7, wherein fig. 1 is a block diagram illustrating a preferred embodiment of an intelligent combustion optimization system for a boiler based on electric energy according to the present invention; FIG. 2 is a block diagram of the boiler combustion detection module of the present invention; FIG. 3 is a block diagram of the structure of a boiler load detection module according to the present invention; FIG. 4 is a block diagram of a data comparison module according to the present invention; FIG. 5 is a block diagram of the intelligent regulating module for boiler combustion according to the present invention; FIG. 6 is a block diagram of the configuration of the boiler combustion optimization module of the present invention; FIG. 7 is a block diagram of the structure of a boiler control module according to the present invention. The intelligent boiler combustion optimization system based on the electric power energy comprises a terminal server, wherein an electrical output end of the terminal server is electrically connected with an operation server, and an electrical output end of the operation server is respectively electrically connected with a data comparison module, a boiler combustion detection module, a boiler combustion optimization module, a boiler control module and an intelligent boiler combustion regulation module.
In the specific implementation process, as shown in fig. 2 and fig. 3, the electrical output end of the boiler combustion detection module is respectively electrically connected with a temperature acquisition module, a boiler load detection module, a fly ash carbon content detection module and a flue gas content detection module, and the electrical output end of the temperature acquisition module is electrically connected with a furnace center temperature detection module and a flue gas temperature detection module.
The electric output end of the flue gas content detection module is respectively and electrically connected with a CO content detection module and a NOx content detection module, and the electric output ends of the CO content detection module and the NOx content detection module are electrically connected with a first air feeder.
The electric property output of boiler load detection module electric connection has boiler wind pressure detection module and buggy concentration detection module respectively, buggy concentration detection module's electric property output electric connection has the buggy machine.
When the load of the boiler detected by the boiler load detection module is lower than 60%, an electric signal cannot be transmitted to the control server, and data detected by the fly ash carbon content detection module can be compared with boiler coal quality theoretical carbon content data in the server.
It should be noted that: when the boiler burns the operation, the temperature acquisition module can be to furnace central temperature and the flue gas temperature of exhaust port, and then can know and contrast the inside burning condition of boiler, the staff of being convenient for judges the inside burning condition of boiler, thereby whether optimize the inside burning condition of boiler and judge, boiler load detection module can detect the inside wind pressure of boiler simultaneously, thereby detect the load of boiler, prevent that boiler internal load is too big, lead to the boiler to damage.
Referring to fig. 1 and 4, the electrical output end of the data comparison module is electrically connected to a data transmission module, a database and a data storage module, respectively, and the electrical output end of the data transmission module is electrically connected to a data optimization module.
The data storage module stores the data of each combustion of the boiler and the optimized condition data and uploads the data to the database for backup, and the data optimization module compares the data of the load detection module and the temperature detection module with the data in the database.
It should be noted that: the data comparison module can be collected and stored the detection data of boiler detection module through control server and terminal server, compares the inside burning condition of boiler through the data that detect simultaneously, and data are stored in the database, and the data optimization module of being convenient for predicts the optimal combustion condition of boiler, and then the staff of being convenient for adjusts the inside burning condition of boiler, improves the inside combustion efficiency of boiler.
Referring to fig. 5, 6 and 7, an electrical output end of the boiler combustion intelligent regulation module is electrically connected with an electrical input end of a database, and an electrical output end of the database is electrically connected with a wind speed intelligent regulation module, a pulverized coal concentration intelligent regulation module, a pollutant monitoring module and an intelligent early warning module.
The electric output end of the boiler combustion optimization module is respectively and electrically connected with a combustion-supporting module, a load control module, a pulverized coal concentration control module and a temperature control module, and the electric output end of the load control module is respectively and electrically connected with a second air feeder and a suction fan.
The electric output end of the pulverized coal concentration control module is electrically connected with a pulverized coal machine, and the electric output end of the boiler control module is respectively electrically connected with a fan rotating speed adjusting module, a pulverized coal feeder rotating speed adjusting module, a pulverized coal fineness adjusting module and a burner swing angle adjusting module.
It should be noted that: the staff adjusts the combustion condition of boiler inside through the optimal combustion condition data that the data optimization module produced, prescribe a limit to and adjust the combustion condition of boiler inside through boiler burning optimization module and boiler control module, make the inside combustion efficiency of boiler reach the highest, the boiler of being convenient for carries out the optimal combustion, can reduce the content of CO and NOx compound in the flue gas simultaneously, the reduction is to the pollution of environment, reduce the fault rate of boiler simultaneously, improve combustion efficiency, simultaneously under the effect of fire-retardant module, can blow in the combustion improver to boiler inside, make the inside coal quality combustion efficiency of boiler improve.
The working principle of the boiler intelligent combustion optimization system based on the electric energy provided by the invention is as follows:
by arranging the boiler combustion detection module, when the boiler burns, the boiler combustion detection module can detect the combustion condition of coal quality in the boiler, and can detect the temperature, air pressure and the like in the boiler, the detected data is transmitted to the terminal server for backup, so that workers can conveniently read the data and find problems, by arranging the data comparison module, after the data detected by the boiler combustion detection module is transmitted to the terminal server, the data is transmitted to the data comparison module through an electric signal, the boiler combustion condition can be detected and compared, and the overall data is uploaded to the database, so that the combustion efficiency of the boiler can be continuously optimized and improved, by arranging the boiler combustion intelligent adjustment module, each data during each combustion of the boiler can be uploaded to the database, and when the next combustion is carried out, the boiler combustion intelligent adjustment module can read the data in the database through the electric signal, and then through the optimal combustion condition data in the database, adjust the combustion condition of boiler inside through wind speed intelligent regulation module and buggy concentration intelligent regulation module, and then improve the efficiency of boiler burning, through setting up boiler burning optimization module, after the data analysis of data comparison module finishes, the staff of operation server can control boiler burning optimization module according to the data of analysis, and then optimize the efficiency of boiler burning, through setting up boiler control module, the staff of being convenient for adjusts the combustion condition of boiler through control server, thereby improve the efficiency of boiler burning, reduce the pollution to the environment.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. The utility model provides a boiler intelligence burning optimal system based on electric power energy, its characterized in that, includes terminal server, terminal server's electrical output end electric connection has operation server, operation server's electrical output end electric connection has data respectively and compares module, boiler burning detection module, boiler burning optimal module, boiler control module and boiler burning intelligent regulation module.
2. The intelligent combustion optimization system for boilers based on electric power energy of claim 1, wherein the electrical output ends of the boiler combustion detection modules are electrically connected with a temperature acquisition module, a boiler load detection module, a fly ash carbon content detection module and a flue gas content detection module respectively, and the electrical output ends of the temperature acquisition modules are electrically connected with a furnace center temperature detection module and a flue gas temperature detection module.
3. The intelligent combustion optimization system for boilers based on electric power energy of claim 2, wherein the electrical output end of the flue gas content detection module is electrically connected with the CO content detection module and the NOx content detection module respectively, and the electrical output ends of the CO content detection module and the NOx content detection module are electrically connected with the first air blower.
4. The intelligent combustion optimization system for the boiler based on the electric power energy according to claim 2, wherein an electrical output end of the boiler load detection module is electrically connected with a boiler wind pressure detection module and a pulverized coal concentration detection module respectively, and an electrical output end of the pulverized coal concentration detection module is electrically connected with a pulverized coal machine.
5. The intelligent combustion optimization system for boilers based on electric energy of claim 2, characterized in that the boiler load detection module does not transmit electric signals to the control server when detecting that the boiler load is lower than 60%, and the data detected by the fly ash carbon content detection module is compared with the boiler coal theoretical carbon content data in the server.
6. The intelligent combustion optimization system for boilers based on electric energy of claim 1, wherein the electrical output end of the data comparison module is electrically connected with a data transmission module, a database and a data storage module, respectively, and the electrical output end of the data transmission module is electrically connected with a data optimization module.
7. The intelligent combustion optimization system for the boiler based on the electric power energy according to claim 6, wherein an electrical output end of the intelligent combustion regulation module of the boiler is electrically connected with an electrical input end of a database, and an electrical output end of the database is electrically connected with an intelligent wind speed regulation module, an intelligent pulverized coal concentration regulation module, a pollutant monitoring module and an intelligent early warning module.
8. The intelligent combustion optimization system for boilers based on electric energy of claim 6, characterized in that the data storage module stores the data of each combustion of the boiler and the optimization data and uploads the data to the database for backup, and the data optimization module compares the data of the load detection module and the temperature detection module with the data in the database.
9. The intelligent combustion optimization system for the boiler based on the electric power energy according to claim 1, wherein the electrical output end of the boiler combustion optimization module is electrically connected with a combustion supporting module, a load control module, a pulverized coal concentration control module and a temperature control module respectively, and the electrical output end of the load control module is electrically connected with a second air feeder and a suction fan respectively.
10. The intelligent combustion optimization system for boilers based on electric power energy of claim 9, wherein the electrical output end of the pulverized coal concentration control module is electrically connected with a pulverized coal machine, and the electrical output end of the boiler control module is respectively electrically connected with a fan rotation speed adjusting module, a pulverized coal feeder rotation speed adjusting module, a pulverized coal fineness adjusting module and a burner pivot angle adjusting module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110998644.4A CN113654026A (en) | 2021-08-27 | 2021-08-27 | Intelligent boiler combustion optimization system based on electric energy |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110998644.4A CN113654026A (en) | 2021-08-27 | 2021-08-27 | Intelligent boiler combustion optimization system based on electric energy |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113654026A true CN113654026A (en) | 2021-11-16 |
Family
ID=78482311
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110998644.4A Pending CN113654026A (en) | 2021-08-27 | 2021-08-27 | Intelligent boiler combustion optimization system based on electric energy |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113654026A (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5323328A (en) * | 1990-10-31 | 1994-06-21 | Kabushiki Kaisha Toshiba | System for controlling power generating plant having a plurality of units in accordance with distributed computer system |
| JP2006064300A (en) * | 2004-08-27 | 2006-03-09 | Takuma Co Ltd | Combustion information monitoring controlling device for stoker type refuse incinerator |
| CN101619850A (en) * | 2009-08-06 | 2010-01-06 | 杭州盘古自动化系统有限公司 | Dispatching method and dispatching system based on load online forecasting of thermoelectric power system |
| CN103148473A (en) * | 2013-03-12 | 2013-06-12 | 华北电力科学研究院有限责任公司 | Optimal operation method and system for utility boiler based on CO |
| CN109782726A (en) * | 2019-02-27 | 2019-05-21 | 杭州集益科技有限公司 | A kind of real-time intelligent fuel system of water transport coal-burning power plant |
| CN110068004A (en) * | 2019-03-27 | 2019-07-30 | 白云青 | A kind of power boiler burning intelligence control system and application method |
-
2021
- 2021-08-27 CN CN202110998644.4A patent/CN113654026A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5323328A (en) * | 1990-10-31 | 1994-06-21 | Kabushiki Kaisha Toshiba | System for controlling power generating plant having a plurality of units in accordance with distributed computer system |
| JP2006064300A (en) * | 2004-08-27 | 2006-03-09 | Takuma Co Ltd | Combustion information monitoring controlling device for stoker type refuse incinerator |
| CN101619850A (en) * | 2009-08-06 | 2010-01-06 | 杭州盘古自动化系统有限公司 | Dispatching method and dispatching system based on load online forecasting of thermoelectric power system |
| CN103148473A (en) * | 2013-03-12 | 2013-06-12 | 华北电力科学研究院有限责任公司 | Optimal operation method and system for utility boiler based on CO |
| CN109782726A (en) * | 2019-02-27 | 2019-05-21 | 杭州集益科技有限公司 | A kind of real-time intelligent fuel system of water transport coal-burning power plant |
| CN110068004A (en) * | 2019-03-27 | 2019-07-30 | 白云青 | A kind of power boiler burning intelligence control system and application method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101900316B (en) | Biomass boiler control system | |
| CN113266843B (en) | Combustion optimization method, system and device for coal-fired boiler | |
| CN201040260Y (en) | Coal mill self-adaptive control system | |
| CN213435054U (en) | Embedded electric precipitation operation optimization system | |
| CN110568766A (en) | Boiler control system based on combustion layer temperature and online optimization method | |
| CN108332213A (en) | A kind of Control System of Incinerator | |
| CN201748397U (en) | Biomass boiler control system | |
| CN101196290A (en) | Optimizing and guiding system for coal-burned industrial boiler operation | |
| CN111522323A (en) | Boiler energy efficiency online diagnosis and intelligent control method based on Internet of things technology | |
| CN112108261A (en) | Coal mill outlet temperature control system and method based on CO monitoring | |
| CN106196134A (en) | A kind of fume afterheat energy-conserving and environment-protective coal dust preparation system | |
| CN103334946B (en) | The online diagnosis of energy saving control system of a kind of thermal power plant's steam-driven induced draft fan | |
| CN112628712A (en) | Secondary air closed-loop optimization control system based on air door resistance coefficient | |
| CN112268296A (en) | Primary air control system capable of realizing online monitoring and intelligent adjustment and operation method | |
| CN1844745A (en) | Incinerator for urban refuse granular fuel | |
| CN208751298U (en) | A kind of automatic combustion-compensating device of low-temperature flue gas waste heat | |
| CN202392770U (en) | Device for controlling combustion of boiler | |
| CN113654026A (en) | Intelligent boiler combustion optimization system based on electric energy | |
| CN110404650B (en) | Coal grinding system and method for safely and efficiently preparing lignite | |
| CN112696667A (en) | Bed temperature early warning system of circulating fluidized bed boiler unit | |
| CN112013417B (en) | Combustion optimization adjustment method and system for high-alkali coal boiler | |
| CN213669820U (en) | Coal pulverizer outlet temperature control system based on CO monitoring | |
| CN112594680B (en) | Integrated primary air pipe system for preventing burning loss of cyclone pulverized coal burner | |
| CN109141051A (en) | A kind of optimum design method of heat accumulating type industrial heating furnace controling of the pressure of the oven | |
| CN113531556A (en) | Control method of self-maintaining smoldering treatment system for high-water-content sludge |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20211116 |
|
| RJ01 | Rejection of invention patent application after publication |