CN113203297A - Intelligent combustion optimization control system based on surface temperature of workpiece in furnace - Google Patents

Intelligent combustion optimization control system based on surface temperature of workpiece in furnace Download PDF

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Publication number
CN113203297A
CN113203297A CN202110502204.5A CN202110502204A CN113203297A CN 113203297 A CN113203297 A CN 113203297A CN 202110502204 A CN202110502204 A CN 202110502204A CN 113203297 A CN113203297 A CN 113203297A
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furnace
concentration
temperature
module
air
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吴海滨
陈新兵
宋伟
李梓霂
刘纯红
舒志峰
仓亚军
桂杨华
熊丹枫
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Anhui University
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Anhui University
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    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F27—FURNACES; KILNS; OVENS; RETORTS
    • F27D—DETAILS OR ACCESSORIES OF FURNACES, KILNS, OVENS, OR RETORTS, IN SO FAR AS THEY ARE OF KINDS OCCURRING IN MORE THAN ONE KIND OF FURNACE
    • F27D21/00—Arrangements of monitoring devices; Arrangements of safety devices
    • F27D21/0014—Devices for monitoring temperature
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F27—FURNACES; KILNS; OVENS; RETORTS
    • F27D—DETAILS OR ACCESSORIES OF FURNACES, KILNS, OVENS, OR RETORTS, IN SO FAR AS THEY ARE OF KINDS OCCURRING IN MORE THAN ONE KIND OF FURNACE
    • F27D19/00—Arrangements of controlling devices
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F27—FURNACES; KILNS; OVENS; RETORTS
    • F27D—DETAILS OR ACCESSORIES OF FURNACES, KILNS, OVENS, OR RETORTS, IN SO FAR AS THEY ARE OF KINDS OCCURRING IN MORE THAN ONE KIND OF FURNACE
    • F27D99/00—Subject matter not provided for in other groups of this subclass
    • F27D99/0001—Heating elements or systems
    • F27D99/0033—Heating elements or systems using burners
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F27—FURNACES; KILNS; OVENS; RETORTS
    • F27D—DETAILS OR ACCESSORIES OF FURNACES, KILNS, OVENS, OR RETORTS, IN SO FAR AS THEY ARE OF KINDS OCCURRING IN MORE THAN ONE KIND OF FURNACE
    • F27D19/00—Arrangements of controlling devices
    • F27D2019/0028—Regulation
    • F27D2019/0034—Regulation through control of a heating quantity such as fuel, oxidant or intensity of current
    • F27D2019/004—Fuel quantity
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F27—FURNACES; KILNS; OVENS; RETORTS
    • F27D—DETAILS OR ACCESSORIES OF FURNACES, KILNS, OVENS, OR RETORTS, IN SO FAR AS THEY ARE OF KINDS OCCURRING IN MORE THAN ONE KIND OF FURNACE
    • F27D19/00—Arrangements of controlling devices
    • F27D2019/0028—Regulation
    • F27D2019/0034—Regulation through control of a heating quantity such as fuel, oxidant or intensity of current
    • F27D2019/004—Fuel quantity
    • F27D2019/0043—Amount of air or O2 to the burner

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  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Waste-Gas Treatment And Other Accessory Devices For Furnaces (AREA)
  • Regulation And Control Of Combustion (AREA)

Abstract

The invention discloses an intelligent combustion optimization control system based on the surface temperature of a workpiece in a furnace, which comprises a module for measuring the real-time temperature of the workpiece in the furnace and the concentration of gas components in a hearth, a furnace temperature fuzzy expert calculation model and an air-fuel ratio self-optimization module, and an air flow, gas flow and valve control module, wherein the module for measuring the real-time temperature of the workpiece in the furnace adopts an infrared temperature measurement technology for detecting the real-time temperature of the workpiece in the furnace. According to the intelligent combustion optimization control system based on the surface temperature of the workpiece in the furnace, the surface temperature distribution of the workpiece is obtained through online detection, an online control model is established by combining a fuzzy control or neural network intelligent control technology, the optimization control of the furnace temperature distribution of the heating furnace is realized, the combustion condition in the furnace cavity can be comprehensively and timely known, and the surface temperature distribution of any point of the furnace tube can be accurately mastered in real time.

Description

Intelligent combustion optimization control system based on surface temperature of workpiece in furnace
Technical Field
The invention relates to the field of combustion systems and methods, in particular to an intelligent combustion optimization control system based on the surface temperature of a workpiece in a furnace.
Background
The existing heating furnaces acquire furnace wall temperature by using thermocouples, calculate furnace cavity temperature by using a heat conduction model to further deduce billet temperature, compare the acquired temperature of the thermocouples with the furnace cavity temperature set by a process, obtain a difference value and apply the difference value to a furnace temperature control model, the model gives a valve opening control signal to react to a primary system to realize the adjustment of coal gas quantity and air quantity, almost all the existing heating furnaces in the metallurgical and petrochemical industries adopt the thermocouples to measure the furnace cavity temperature, deduce the temperature of workpieces (billets, furnace tubes and the like) according to a heat exchange mechanism, establish a combustion control model to further realize the combustion control of the furnace cavity, but because the measurement of the workpiece temperature is indirect, the thermocouple temperature measurement has hysteresis, the measurement area is not large enough, the combustion optimization control is difficult to be really and effectively realized, and the furnace cavity environment of the heating furnace has multiple ends, the temperature is not uniform, the thermocouple can only represent the temperature near the furnace wall, the temperature of the hearth cannot be accurately simulated by using the model, and the temperature of the heated workpiece is the temperature of the heated workpiece.
Meanwhile, the conventional heating furnace adopts an 'peroxide combustion' process, namely, the air proportion in the air-fuel ratio is properly increased, which is beneficial to complete combustion of fuel. However, too much air also has the following adverse effects: firstly, too much air can reduce the furnace temperature and influence the combustion efficiency; secondly, excessive oxygen can cause oxidation reaction with the surface of the workpiece in the furnace, so that the oxidation burning loss, decarburization and carburization are increased(ii) a Third is excessive O at high temperature2And N2Combined to form NOxThe current control structure of the discharged and polluted air has no gas component information of a hearth, the combustion state of fuel cannot be obtained, and the optimal control of the air-fuel ratio is not facilitated.
Therefore, an intelligent combustion optimization control system based on the surface temperature of the workpieces in the furnace is provided, and the temperature data of the workpieces in the furnace and real-time CO and O can be measured actually2The concentration data and the fuzzy expert control model are effectively fused and integrated to form an intelligent optimization control strategy for the temperature of the steel billet.
Disclosure of Invention
The invention mainly aims to provide an intelligent combustion optimization control system based on the surface temperature of a workpiece in a furnace, which can effectively solve the problems that the hearth temperature and the temperature of the heated workpiece cannot be accurately simulated by using a model in the background art, and the air-fuel ratio of a hearth cannot be optimally controlled.
In order to achieve the purpose, the invention adopts the technical scheme that:
the utility model provides an intelligence burning optimal control system based on work piece surface temperature in stove, includes, comparator, furnace temperature calculation model, air-fuel ratio is from optimizing module, its characterized in that: the intelligent combustion optimization control system further comprises a workpiece real-time temperature monitoring module and a hearth gas component concentration measuring module, the workpiece real-time temperature monitoring module calculates and monitors the workpiece real-time temperature through infrared temperature measurement, and the hearth gas component concentration measuring module is used for monitoring CO/O of the heating furnace in real time2And (4) concentration.
Furthermore, the comparator is used for comparing the real-time temperature of the workpiece with the set temperature, the furnace temperature calculation model is a furnace temperature fuzzy expert calculation model, and the furnace chamber gas component concentration measurement module is used for monitoring the real-time CO/O2The concentration is fed back to an air-fuel ratio self-optimizing module, and the air-fuel ratio self-optimizing module is used for controlling combustion of the heating furnace.
Furthermore, the real-time temperature measuring module of the workpiece in the furnace is connected with a comparator, the temperature is compared with the temperature set by the workpiece heating process connected with the other end of the comparator, the comparator is also connected with a furnace temperature fuzzy expert calculation model, the furnace temperature fuzzy expert calculation model is connected with an air-fuel ratio self-optimizing model, and the air-fuel ratio self-optimizing module comprises an air flow fuzzy control module, an air flow tracking module, an air regulating valve, a coal gas flow fuzzy control module, a coal gas flow tracking module and a coal gas regulating valve; the air flow fuzzy control module is connected with the air flow tracking module, the air flow tracking module is connected with the air regulating valve, the coal gas flow fuzzy control module is connected with the coal gas flow tracking module, and the coal gas flow tracking module is connected with the coal gas regulating valve; the gas regulating valve and the air regulating valve are connected with the heating furnace.
An intelligent combustion optimization control system based on the surface temperature of a workpiece in a furnace comprises a module for measuring the real-time temperature of the workpiece in the furnace and the concentration of the gas components in a hearth, a furnace temperature fuzzy expert calculation model, an air-fuel ratio self-optimization module, an air flow, gas flow and valve control module, wherein the module for measuring the real-time temperature of the workpiece in the furnace adopts an infrared temperature measurement technology for detecting the real-time temperature of the workpiece in the furnace, and the module for measuring the concentration of the gas components in the hearth adopts a technology capable of detecting the real-time temperature of CO/O in the furnace in real time2The air flow, gas flow and valve control module comprises an air flow fuzzy control module, a gas flow fuzzy control module, an air flow tracking module, a gas flow tracking module, an air regulating valve and a gas regulating valve.
Furthermore, the real-time temperature measuring module of the workpiece in the furnace is connected with a comparator which is compared with the temperature set by the workpiece heating process connected with the other end of the comparator, the comparator is also connected with a furnace temperature fuzzy expert calculating model, the furnace temperature fuzzy expert calculating model is connected with an air-fuel ratio self-optimizing model, the air-fuel ratio self-optimizing model is respectively connected with an air flow fuzzy control module and a gas flow fuzzy control module, the gas component concentration measuring module of the hearth is respectively connected with an air flow fuzzy control module and a gas flow fuzzy control module, the air flow fuzzy control module is connected with an air flow tracking module, the air flow tracking module is connected with an air regulating valve, the gas flow fuzzy control module is connected with a gas flow tracking module, the gas flow tracking module is connected with a gas regulating valve, the air regulating valve and the coal gas regulating valve are connected with a heating furnace pipeline.
Further, the method comprises the following steps:
1) detecting the real-time temperature of the workpiece by an infrared temperature measurement technology;
2) comparing the temperature of the heated workpiece in the furnace with a process set value to obtain a difference value, calculating a required energy value by adopting a fuzzy expert calculation model, and determining the flow of the burner;
3) the air flow and gas flow proportion module is used for actually measuring CO/O according to the laser absorption spectrum2Calculating the gas flow and the air flow variable quantity by the concentration value;
4) after the two flow parameter values are obtained, opening degree signals of the gas/air electric regulating valve are obtained and are respectively applied to the gas/air electric regulating valve, and closed-loop control of the furnace temperature, the gas/air flow and the temperature of the heated workpiece in the furnace is completed.
Further, the inside pressure sensor that is equipped with of heating furnace, pressure sensor carries out real-time detection to actual furnace negative pressure, pressure sensor and draught fan are connected.
Furthermore, the pressure sensor detects the actual negative pressure of the hearth in real time, and correspondingly adjusts the frequency signal of the induced draft fan, so that the actual negative pressure of the hearth is stabilized near a preset value, combustion parameters are optimally configured under the condition of constant pressure, and the coupling influence of pressure fluctuation on the combustion control parameters is eliminated.
Further, an online CO concentration monitor is installed at the top of the tail gas of the heating furnace, the online CO concentration monitor is connected with a CO concentration prediction PID controller, the online CO concentration monitor and the CO concentration prediction PID controller form a closed loop, and the control conditions of the online CO concentration monitor and the CO concentration prediction PID controller are preset CO concentration and real-time O2Concentration and damper signals, and the CO concentration prediction PID controller is connected with the damper.
Further, the CO concentration on-line detector detects the CO concentration in the tail gas in real time and is concentrated with the COThe degree prediction PID controller forms a closed loop, and the CO concentration prediction PID controller is used for predicting the actual O according to the preset CO concentration2The air door baffle is adjusted by the concentration and the air door baffle signal, so that the actual CO concentration is consistent with a preset value, and the accurate adjustment and control of the CO concentration are realized.
Compared with the prior art, the invention has the following beneficial effects:
1. the method has the advantages that the surface temperature distribution of the workpiece is obtained through online detection, an online control model is established by combining with a fuzzy control or neural network intelligent control technology, the optimal control on the furnace temperature distribution of the heating furnace is realized, the combustion condition in the furnace can be known in time in all directions, the surface temperature distribution of any point of the furnace tube can be accurately mastered in real time, problems and planned shutdown maintenance can be found in time, a solid foundation is laid for ensuring the stable operation of the heating furnace, reducing energy consumption and avoiding fire, explosion and other safety accidents caused by the burst of the furnace tube, the method can be widely applied to various industrial furnaces in the industries of metallurgy, petrochemical industry and the like, and has important significance for optimizing the process control of the industrial furnaces, reducing oxidation burning loss, ensuring the temperature safety of the furnace tube, improving the product quality, saving energy, reducing consumption, realizing safe production and the like;
2. avoid the reduction of the furnace temperature caused by excessive air in the heating furnace, influence on combustion efficiency, avoid the oxidation reaction of excessive oxygen and the aggravation of the surface of the workpiece in the furnace, increase of oxidation burning loss, decarburization and carburization, and avoid excessive O at high temperature2And N2Combined to form NOxAnd discharging and polluting air.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings needed to be used in the technical description of the present invention will be briefly introduced below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive labor.
FIG. 1 is a structural diagram of an intelligent combustion optimization control system of a heating furnace based on the surface temperature of a workpiece in the furnace;
FIG. 2 shows a schematic view of the present inventionCO and O in heating furnace of intelligent combustion optimization control system based on surface temperature of workpiece in furnace2And NOxA graph of the relationship of content change;
FIG. 3 is a logic diagram of an optimized combustion control system of the intelligent combustion optimization control system based on the surface temperature of the workpiece in the furnace.
Detailed Description
The present invention will be further described with reference to the following detailed description, wherein the drawings are for illustrative purposes only and are not intended to be limiting, wherein certain elements may be omitted, enlarged or reduced in size, and are not intended to represent the actual dimensions of the product, so as to better illustrate the detailed description of the invention.
Example 1
As shown in figure 1, the intelligent combustion optimization control system based on the surface temperature of the workpieces in the furnace comprises a module for measuring the real-time temperature of the workpieces in the furnace and the concentration of the gas components in a hearth, a furnace temperature fuzzy expert calculation model and an air-fuel ratio self-optimization module, and a module for controlling air flow, gas flow and a valve, wherein the module for measuring the real-time temperature of the workpieces in the furnace adopts an infrared temperature measurement technology for detecting the real-time temperature of the workpieces in the furnace, and the module for measuring the concentration of the gas components in the hearth adopts a technology capable of detecting CO/O2The air flow, gas flow and valve control module comprises an air flow fuzzy control module, a gas flow fuzzy control module, an air flow tracking module, a gas flow tracking module, an air regulating valve and a gas regulating valve.
The real-time temperature measuring module of the workpieces in the furnace is connected with a comparator, the temperature set by the workpiece heating process connected with the other end of the comparator is compared, the comparator is further connected with a furnace temperature fuzzy expert calculating model, the furnace temperature fuzzy expert calculating model is connected with an air-fuel ratio self-optimizing model, the air-fuel ratio self-optimizing model is respectively connected with an air flow fuzzy control module and a gas flow fuzzy control module, the gas component concentration measuring module of the furnace is respectively connected with an air flow fuzzy control module and a gas flow fuzzy control module, the air flow fuzzy control module is connected with an air flow tracking module, the air flow tracking module is connected with an air regulating valve, the gas flow fuzzy control module is connected with a gas flow tracking module, the gas flow tracking module is connected with a gas regulating valve, and the air regulating valve and the gas regulating valve are connected with a heating furnace pipeline.
The method comprises the following steps:
1) detecting the real-time temperature of the workpiece by an infrared temperature measurement technology;
2) comparing the temperature of the heated workpiece in the furnace with a process set value to obtain a difference value, calculating a required energy value by adopting a fuzzy expert calculation model, and determining the flow of the burner;
3) the air flow and gas flow proportion module is used for actually measuring CO/O according to the laser absorption spectrum2Calculating the gas flow and the air flow variable quantity by the concentration value;
4) after the two flow parameter values are obtained, opening degree signals of the gas/air electric regulating valve are obtained and are respectively applied to the gas/air electric regulating valve, and closed-loop control of the furnace temperature, the gas/air flow and the temperature of the heated workpiece in the furnace is completed.
By adopting the technical scheme: the method has the advantages that the temperature distribution of the surface of the workpiece is obtained through online detection, an online control model is established by combining a fuzzy control or neural network intelligent control technology, the optimal control of the furnace temperature distribution of the heating furnace is realized, the method can be widely applied to various industrial furnaces in the industries of metallurgy, petrochemical industry and the like, and the method has important significance for optimizing the process control of the industrial furnaces, reducing the oxidation burning loss, guaranteeing the temperature safety of the furnace tube, improving the product quality, saving energy, reducing consumption, realizing safe production and the like.
Example 2
As shown in figure 1, the intelligent combustion optimization control system based on the surface temperature of the workpieces in the furnace comprises the real-time temperature sum of the workpieces in the furnaceThe system comprises a hearth gas component concentration measuring module, a furnace temperature fuzzy expert calculation model, an air-fuel ratio self-optimizing module, an air flow, gas flow and valve control module, wherein the furnace workpiece real-time temperature measuring module adopts an infrared temperature measuring technology for detecting the real-time temperature of a workpiece in the furnace, and the hearth gas component concentration measuring module adopts a device capable of detecting CO/O in the furnace in real time2The air flow, gas flow and valve control module comprises an air flow fuzzy control module, a gas flow fuzzy control module, an air flow tracking module, a gas flow tracking module, an air regulating valve and a gas regulating valve.
The real-time temperature measuring module of the workpieces in the furnace is connected with a comparator, the temperature set by the workpiece heating process connected with the other end of the comparator is compared, the comparator is further connected with a furnace temperature fuzzy expert calculating model, the furnace temperature fuzzy expert calculating model is connected with an air-fuel ratio self-optimizing model, the air-fuel ratio self-optimizing model is respectively connected with an air flow fuzzy control module and a gas flow fuzzy control module, the gas component concentration measuring module of the furnace is respectively connected with an air flow fuzzy control module and a gas flow fuzzy control module, the air flow fuzzy control module is connected with an air flow tracking module, the air flow tracking module is connected with an air regulating valve, the gas flow fuzzy control module is connected with a gas flow tracking module, the gas flow tracking module is connected with a gas regulating valve, and the air regulating valve and the gas regulating valve are connected with a heating furnace pipeline.
The method comprises the following steps:
1) detecting the real-time temperature of the workpiece by an infrared temperature measurement technology;
2) comparing the temperature of the heated workpiece in the furnace with a process set value to obtain a difference value, calculating a required energy value by adopting a fuzzy expert calculation model, and determining the flow of the burner;
3) the air flow and gas flow proportion module is used for actually measuring CO/O according to the laser absorption spectrum2Calculating the gas flow and the air flow variable quantity by the concentration value;
4) after the two flow parameter values are obtained, opening degree signals of the gas/air electric regulating valve are obtained and are respectively applied to the gas/air electric regulating valve, and closed-loop control of the furnace temperature, the gas/air flow and the temperature of the heated workpiece in the furnace is completed.
In the metallurgical industry, the monitoring technology is adopted, the obtained surface temperature distribution data of each section of steel billet in the furnace is sent to a combustion optimization control system, and the heating model is verified and optimized through a fuzzy control or neural network intelligent control mechanism, so that the optimal control of the furnace temperature distribution is realized. The use of the technology changes the prior 'overburning' process in the steel industry: the process temperature of the prior heating furnace billet overburning at 30-40 ℃ is effectively and reasonably reduced by 10-20 ℃, and the effect is that the fuel consumption can be reduced by more than 5%, the carbon emission amount is comprehensively reduced by 5-15%, and the oxidation burning loss rate of the billet is reduced by 0.2-0.5%.
Example 3
As shown in figure 1, the intelligent combustion optimization control system based on the surface temperature of the workpieces in the furnace comprises a module for measuring the real-time temperature of the workpieces in the furnace and the concentration of the gas components in a hearth, a furnace temperature fuzzy expert calculation model and an air-fuel ratio self-optimization module, and a module for controlling air flow, gas flow and a valve, wherein the module for measuring the real-time temperature of the workpieces in the furnace adopts an infrared temperature measurement technology for detecting the real-time temperature of the workpieces in the furnace, and the module for measuring the concentration of the gas components in the hearth adopts a technology capable of detecting CO/O in the furnace in real time2The air flow, gas flow and valve control module comprises an air flow fuzzy control module, a gas flow fuzzy control module, an air flow tracking module, a gas flow tracking module, an air regulating valve and a gas regulating valve.
The real-time temperature measuring module of the workpieces in the furnace is connected with a comparator, the temperature set by the workpiece heating process connected with the other end of the comparator is compared, the comparator is further connected with a furnace temperature fuzzy expert calculating model, the furnace temperature fuzzy expert calculating model is connected with an air-fuel ratio self-optimizing model, the air-fuel ratio self-optimizing model is respectively connected with an air flow fuzzy control module and a gas flow fuzzy control module, the gas component concentration measuring module of the furnace is respectively connected with an air flow fuzzy control module and a gas flow fuzzy control module, the air flow fuzzy control module is connected with an air flow tracking module, the air flow tracking module is connected with an air regulating valve, the gas flow fuzzy control module is connected with a gas flow tracking module, the gas flow tracking module is connected with a gas regulating valve, and the air regulating valve and the gas regulating valve are connected with a heating furnace pipeline.
The method comprises the following steps:
1) detecting the real-time temperature of the workpiece by an infrared temperature measurement technology;
2) comparing the temperature of the heated workpiece in the furnace with a process set value to obtain a difference value, calculating a required energy value by adopting a fuzzy expert calculation model, and determining the flow of the burner;
3) the air flow and gas flow proportion module is used for actually measuring CO/O according to the laser absorption spectrum2Calculating the gas flow and the air flow variable quantity by the concentration value;
4) after the two flow parameter values are obtained, opening degree signals of the gas/air electric regulating valve are obtained and are respectively applied to the gas/air electric regulating valve, and closed-loop control of the furnace temperature, the gas/air flow and the temperature of the heated workpiece in the furnace is completed.
In the petrochemical industry, the factors such as fire extinguishing outside the furnace tube, excessive coking inside the furnace tube and the like can cause local overtemperature (so-called hot spots) of the furnace tube, and the hidden danger of serious accidents such as fire and explosion in the furnace can occur due to the explosion of the furnace tube when the furnace tube is not treated in time. The breakthrough of the key technology of the project can comprehensively and timely know the combustion condition in the hearth, accurately master the surface temperature distribution of any point of the furnace tube in real time, timely find problems and planned shutdown maintenance, and lay a solid foundation for ensuring the stable operation of the heating furnace, reducing energy consumption, avoiding safety accidents such as fire, explosion and the like caused by the burst of the furnace tube. Meanwhile, the accurate judgment of the coking state in the furnace tube can be realized by comprehensively monitoring the surface temperature change of the furnace tube, and a scientific means is provided for judging the operation period end point and the coking finish time.
Example 4
As shown in figures 2 and 3, the intelligent combustion optimization control system based on the surface temperature of the workpiece in the furnace comprises the workpiece in the furnaceA real-time temperature and hearth gas component concentration measuring module, a furnace temperature fuzzy expert calculation model and air-fuel ratio self-optimizing module, an air flow and gas flow and valve control module, wherein the real-time temperature measuring module of the workpieces in the furnace adopts an infrared temperature measuring technology for detecting the real-time temperature of the workpieces in the furnace, and the hearth gas component concentration measuring module adopts a module capable of detecting the CO/O in the furnace in real time2The air flow, gas flow and valve control module comprises an air flow fuzzy control module, a gas flow fuzzy control module, an air flow tracking module, a gas flow tracking module, an air regulating valve and a gas regulating valve.
The heating furnace is internally provided with a pressure sensor, the pressure sensor is used for detecting the negative pressure of the actual hearth in real time, and the pressure sensor is connected with the induced draft fan.
The pressure sensor detects the actual negative pressure of the hearth in real time, and correspondingly adjusts the frequency signal of the induced draft fan, so that the actual negative pressure of the hearth is stabilized near a preset value, combustion parameters are optimally configured under the condition of constant pressure, and the coupling influence of pressure fluctuation on the combustion control parameters is eliminated.
The heat source of the heating furnace mainly comes from the heat released by fuel combustion, the higher the proportion of the heat released by the fuel on the workpiece in the furnace is, the better the heat taken away by the polluted gas is. According to the combustion control theory, CO and O in the heating furnace2And NOxThe content variation is shown in FIG. 2, from which it can be seen that with O2Increased content of NOxThe content also increases sharply, when the air excess coefficient mu is between 1.01 and 1.10, namely O2The content is controlled to be 0.5% -1%, when the CO content is controlled to be 50-150 ppm, the heat efficiency loss of the furnace is lowest, the heat efficiency is highest, the polluted gas is minimum, and the optimal combustion state is realized.
Thereby improving thermal efficiency and reducing NOxThe emission is the problem of finding the optimal air-fuel ratio, the combustion process of the heating furnace is mainly influenced by factors such as fan pressure, nozzle air distribution and the like, and the combustion effect is directly reflected on the CO concentration in the tail gas of the hearth atmosphere.
Firstly, theoretical analysis and experimental tests are utilized to establish a combustion model in a hearth, and a matching model of fan pressure, nozzle air distribution and CO concentration in tail gas is determined so as to ensure that a good combustion control effect is obtained. And then, an expert system, a fuzzy neural network, a genetic algorithm, a support vector machine decision and other intelligent decision-making theories are applied to perfect a working parameter optimization strategy of the heating furnace combustion control system, so that not only is accurate CO concentration control precision obtained, but also the quick dynamic response performance of the control system is ensured.
The heating furnace tail gas top is provided with a CO concentration online monitor which is connected with a CO concentration prediction PID controller, the CO concentration online monitor and the CO concentration prediction PID controller form a closed loop, and the control conditions of the CO concentration prediction PID controller are preset CO concentration and real-time O2The concentration is connected with a damper baffle signal, and a CO concentration prediction PID controller is connected with the damper baffle.
The CO concentration online detector detects the CO concentration in the tail gas in real time, and forms a closed loop with a CO concentration prediction PID controller, and the CO concentration prediction PID controller detects the actual O concentration according to the preset CO concentration2The air door baffle is adjusted by the concentration and the air door baffle signal, so that the actual CO concentration is consistent with a preset value, and the accurate adjustment and control of the CO concentration are realized.
The foregoing shows and describes the general principles and broad features of the present invention and advantages thereof. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.

Claims (10)

1. The utility model provides an intelligence burning optimal control system based on work piece surface temperature in stove, includes, comparator, furnace temperature calculation model, air-fuel ratio is from optimizing module, its characterized in that: the intelligent combustion optimization control system also comprises a workpiece real-time temperature monitoring module and a hearth gas component concentration measuring module,the real-time workpiece temperature monitoring module is used for calculating and monitoring the real-time temperature of the workpiece through infrared temperature measurement, and the hearth gas component concentration measuring module is used for monitoring the CO/O of the heating furnace in real time2And (4) concentration.
2. The intelligent combustion optimization control system based on the surface temperature of the workpieces in the furnace as set forth in claim 1, wherein: the comparator is used for comparing the real-time temperature of the workpiece with the set temperature, the furnace temperature calculation model is a furnace temperature fuzzy expert calculation model, and the furnace gas component concentration measurement module is used for monitoring the real-time CO/O2The concentration is fed back to an air-fuel ratio self-optimizing module, and the air-fuel ratio self-optimizing module is used for controlling combustion of the heating furnace.
3. The intelligent combustion optimization control system based on the surface temperature of the workpieces in the furnace as set forth in claim 1, wherein: the real-time temperature measuring module of the workpieces in the furnace is connected with a comparator, the real-time temperature measuring module of the workpieces in the furnace is compared with the temperature set by the workpiece heating process connected with the other end of the comparator, the comparator is further connected with a furnace temperature fuzzy expert calculation model, the furnace temperature fuzzy expert calculation model is connected with an air-fuel ratio self-optimizing model, and the air-fuel ratio self-optimizing module comprises an air flow fuzzy control module, an air flow tracking module, an air regulating valve, a gas flow fuzzy control module, a gas flow tracking module and a gas regulating valve; the air flow fuzzy control module is connected with the air flow tracking module, the air flow tracking module is connected with the air regulating valve, the coal gas flow fuzzy control module is connected with the coal gas flow tracking module, and the coal gas flow tracking module is connected with the coal gas regulating valve; the gas regulating valve and the air regulating valve are connected with the heating furnace.
4. The intelligent combustion optimization control system based on the surface temperature of the workpieces in the furnace as claimed in claim 1 or 2, wherein: the method comprises the following steps:
1) detecting the real-time temperature of the workpiece by an infrared temperature measurement technology;
2) comparing the temperature of the heated workpiece in the furnace with a process set value to obtain a difference value, calculating a required energy value by adopting a fuzzy expert calculation model, and determining the flow of the burner;
3) the air flow and gas flow proportion module is used for actually measuring CO/O according to the laser absorption spectrum2Calculating the gas flow and the air flow variable quantity by the concentration value;
4) after the two flow parameter values are obtained, opening degree signals of the gas/air electric regulating valve are obtained and are respectively applied to the gas/air electric regulating valve, and closed-loop control of the furnace temperature, the gas/air flow and the temperature of the heated workpiece in the furnace is completed.
5. The utility model provides an intelligence burning optimal control system based on work piece surface temperature in stove which characterized in that: a pressure sensor is arranged in the heating furnace, the pressure sensor is used for detecting the actual negative pressure of the hearth in real time, and the pressure sensor is connected with an induced draft fan; the pressure sensor detects the actual negative pressure of the hearth in real time, and correspondingly adjusts the frequency signal of the induced draft fan, so that the actual negative pressure of the hearth is stabilized near a preset value, combustion parameters are optimally configured under the condition of constant pressure, and the coupling influence of pressure fluctuation on the combustion control parameters is eliminated.
6. The intelligent combustion optimization control system based on the surface temperature of the workpieces in the furnace as set forth in claim 5, wherein: the heating furnace tail gas top is provided with a CO concentration online monitor, the CO concentration online monitor is connected with a CO concentration prediction PID controller, the CO concentration online monitor and the CO concentration prediction PID controller form a closed loop, and the control conditions of the CO concentration prediction PID controller are preset CO concentration and real-time O2Concentration and damper signals, and the CO concentration prediction PID controller is connected with the damper.
7. The intelligent combustion optimization control system based on the surface temperature of the workpieces in the furnace as set forth in claim 6, wherein: the CO concentration on-line detector detects the CO concentration in the tail gas in real time and compares the detected CO concentration with the CO concentrationThe prediction PID controller forms a closed loop, and the CO concentration prediction PID controller is used for predicting the actual O according to the preset CO concentration2The air door baffle is adjusted by the concentration and the air door baffle signal, so that the actual CO concentration is consistent with a preset value, and the accurate adjustment and control of the CO concentration are realized.
8. The intelligent combustion optimization control system based on the surface temperature of the workpieces in the furnace as set forth in claim 1, wherein: the heating furnace is internally provided with a pressure sensor, the pressure sensor is used for detecting the negative pressure of the actual hearth in real time, and the pressure sensor is connected with the draught fan.
9. The intelligent combustion optimization control system based on the surface temperature of the workpieces in the furnace as claimed in claim 8, wherein: the pressure sensor detects the actual negative pressure of the hearth in real time, and correspondingly adjusts the frequency signal of the induced draft fan, so that the actual negative pressure of the hearth is stabilized near a preset value, combustion parameters are optimally configured under the condition of constant pressure, and the coupling influence of pressure fluctuation on the combustion control parameters is eliminated.
10. The intelligent combustion optimization control system based on the surface temperature of the workpieces in the furnace as claimed in claim 8, wherein: the heating furnace tail gas top is provided with a CO concentration online monitor, the CO concentration online monitor is connected with a CO concentration prediction PID controller, the CO concentration online monitor and the CO concentration prediction PID controller form a closed loop, and the control conditions of the CO concentration prediction PID controller are preset CO concentration and real-time O2Concentration and damper signals, and the CO concentration prediction PID controller is connected with the damper.
CN202110502204.5A 2021-05-08 2021-05-08 Intelligent combustion optimization control system based on surface temperature of workpiece in furnace Pending CN113203297A (en)

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Application publication date: 20210803