CN103759277B - Coal-fired power station boiler intelligent ash blowing closed loop control method, device and system - Google Patents

Coal-fired power station boiler intelligent ash blowing closed loop control method, device and system Download PDF

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Publication number
CN103759277B
CN103759277B CN201410040136.5A CN201410040136A CN103759277B CN 103759277 B CN103759277 B CN 103759277B CN 201410040136 A CN201410040136 A CN 201410040136A CN 103759277 B CN103759277 B CN 103759277B
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China
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blowing
factor
heat transfer
heating
coefficient
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CN201410040136.5A
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Chinese (zh)
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CN103759277A (en
Inventor
喻玫
吕霞
蔡利军
刘晓鹏
麦永强
李德琦
石书雨
范国朝
王海鹏
马跃华
吴德利
蔡芃
张杨
赵超
梁世传
任静
任旻
隋海涛
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烟台龙源电力技术股份有限公司
国电建投内蒙古能源有限公司
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Abstract

The present invention discloses a kind of coal-fired power station boiler intelligent ash blowing closed loop control method, device and system.Wherein according to the field data that Real-time Collection arrives, determine the cleaning gene of heating surface, the recruitment factor that time integral Summing Factor is corresponding, and the quantification gradation be converted to respectively in fuzzy domain, by cleaning gene quantification gradation, what time integral factor quantification grade and the input of recruitment factor quantification gradation preset blows grey fuzzy control model, resolve blowing grey fuzzy control model, to obtain corresponding blowing grey confidence level, generate corresponding blow grey instruction according to blowing grey confidence level and unit operating mode, grey instruction will be blown and send to PLC, so that PLC blows ash manipulation accordingly according to blowing grey instruction.The operation factor of blowing ash by considering impact realizes closed-loop control to soot blower system, in the guaranteed situation of heating surface heat transfer characteristic, and the object of reduce to greatest extent and blow grey frequency, reach energy-saving and cost-reducing, improve unit operation economy and security.

Description

Coal-fired power station boiler intelligent ash blowing closed loop control method, device and system
Technical field
The present invention relates to pulverized-coal fired boiler reducing energy consumption and information control field, particularly a kind of coal-fired power station boiler intelligent ash blowing closed loop control method, device and system.
Background technology
Thermoelectricity installation obtains because capacity is large, energy consumption is high and uses widely.But the slagging scorification dust stratification on Power Station Boiler Heating Surface is the major issue affecting safe and economical boiler operation during current pulverized-coal fired boiler runs.Because dust stratification makes the increase of heating surface heat transfer resistance, heat exchange deterioration, heat transfer efficiency is reduced.Generally speaking, compared with clean condition, being subject to polluting rear boiler efficiency will reduce 1%-2.5%, and exhaust gas temperature raises tens degree.Purging heating surface is a kind of technical measures effectively avoiding serious dust stratification or slagging scorification, but, no matter be air or steam soot blowing, all want lot of energy, as the steam consumption of steam soot blowing, account for 1% of steam total output, consume 0.7% of boiler thermal output, 0.1% of power plant efficiency.
At present, power plant of China generally adopts timing along flue gas flow, boiler heating surface to be blown to the method for operation of ash.This mode has the various problems such as blindness: over-blowing can cause heating surface to damage because of thermal stress and wearing and tearing on the one hand, shortens the life-span of heating surface.The opposing party's top blast ash deficiency can cause exhaust gas temperature to raise, and the economy that impact runs, the Serious Slagging of some heating surface even can cause boiler and fall slag accident, the security of serious threat boiler operatiopn.
Instruct the stage because existing soot blowing and optimal system is also in open loop operation, therefore there is following shortcoming: they cannot accomplish that real-time online carries out coal analysis calculating, to a certain extent deviation is existed to the pollutional condition monitoring of heating surface.In addition, existing system often just by some parameters, as cleaning gene, is monitored fouling of heating surface state, and does not consider all kinds of factors that ash is blown in impact.Meanwhile, due to the restriction of on-the-spot service condition, the effect of optimization of open cycle system cannot be guaranteed.
Summary of the invention
The embodiment of the present invention provides a kind of coal-fired power station boiler intelligent ash blowing closed loop control method, device and system.Other operation factor of blowing ash by considering impact on the basis of Real-Time Monitoring fouling of heating surface pollutional condition realizes closed-loop control to soot blower system.
According to an aspect of the present invention, a kind of coal-fired power station boiler intelligent ash blowing closed loop control method is provided, comprises:
According to the field data that Real-time Collection arrives, determine the cleaning gene of heating surface, the recruitment factor that time integral Summing Factor is corresponding, wherein cleaning gene is associated with the contaminated degree of heating surface, the time integral factor is associated with the dust stratification speed of heating surface, and recruitment factor is associated with flue gas loss and attemperation water flow;
Respectively cleaning gene, time integral Summing Factor recruitment factor are converted to the quantification gradation in fuzzy domain;
What the input of cleaning gene quantification gradation, time integral factor quantification grade and recruitment factor quantification gradation preset blows grey fuzzy control model, resolves blowing grey fuzzy control model, to obtain corresponding blowing grey confidence level;
Generate corresponding blow grey instruction according to blowing grey confidence level and unit operating mode;
Grey instruction will be blown and send to PLC, so that PLC blows ash manipulation accordingly according to blowing grey instruction.
In one embodiment, cleaning gene CF=k sj/ k lx, wherein k sjfor actual heat transfer coefficient, k lxfor desired heat transfer coefficient.
In one embodiment, cleaning gene CF=k sj/ F (k sj, k lx), wherein k sjfor actual heat transfer coefficient, k lxfor desired heat transfer coefficient, F is filter function, for retaining the low frequency characteristic of desired heat transfer coefficient, and synchronous with actual heat transfer coefficient on high frequency behavioral characteristics.
In one embodiment, actual heat transfer coefficient k sjfor:
k sj = Q · B cal A · Δt × 10 3
Wherein Q is the caloric receptivity by hot working fluid, B calfor calculated fuel consumption, A is the heating surface area of heating surface, and Δ t is temperature and pressure; Wherein Δ t is:
Δt = Δ t σ - Δ t M ln Δ t σ Δ t M
Wherein import and export the temperature difference respectively having a flue-gas temperature and Temperature of Working at heating surface, use parameter Δ t respectively σwith Δ t mrepresent, and Δ t σ> Δ t m;
Wherein Q is associated with reheated steam flow, B calbe associated with as-fired coal matter ash content and low heat valve.
In one embodiment, for the light pipe curtain wall directly obtaining radiations heat energy from burner hearth, desired heat transfer coefficient is:
k lx = α 1 1 + ( 1 + Q f / Q ) ( ϵ + 1 α 2 ) α 1
Wherein α 1for fume side exothermic coefficient, α 2for working medium side coefficient of convective heat transfer, Q ffor heating surface accepts the radiations heat energy of burner hearth, Q is the caloric receptivity by hot working fluid, and ε is contamination factor;
Wherein α 1be associated with as-fired coal matter moisture and Oxygen Amount in Flue Gas.
In one embodiment, for the convection current light pipe tube bank directly being obtained radiations heat energy by burner hearth, desired heat transfer coefficient is:
k lx = ψ α 1 1 + ( 1 + Q f / Q ) α 1 α 2
Wherein α 1for fume side exothermic coefficient, α 2for working medium side coefficient of convective heat transfer, Q ffor heating surface accepts the radiations heat energy of burner hearth, Q is the caloric receptivity by hot working fluid, and ε is contamination factor, and ψ is thermal effective coefficient;
Wherein α 1be associated with as-fired coal matter moisture and Oxygen Amount in Flue Gas.
In one embodiment, for the convection current light pipe tube bank not obtaining direct radiations heat energy from burner hearth, desired heat transfer coefficient is:
k lx = ψ α 1 1 + α 1 α 2
Wherein α 1for fume side exothermic coefficient, α 2for working medium side coefficient of convective heat transfer, ψ is thermal effective coefficient;
Wherein α 1be associated with as-fired coal matter moisture and Oxygen Amount in Flue Gas.
According to a further aspect in the invention, a kind of intelligent ash blowing server realizing the closed-loop control of coal-fired power station boiler intelligent ash blowing is provided, comprise data receipt unit, cleaning gene determining unit, time integral factor specifying unit, recruitment factor determining unit, converting unit, solving unit, instruction generation unit and instruction sending unit, wherein:
Data receipt unit, for receiving the field data of data acquisition unit Real-time Collection;
Cleaning gene determining unit, for the cleaning gene of field data determination heating surface arrived according to Real-time Collection, wherein cleaning gene is associated with the contaminated degree of heating surface;
Time integral factor specifying unit, for the field data determination time integral factor arrived according to Real-time Collection, wherein the time integral factor is associated with the dust stratification speed of heating surface;
Recruitment factor determining unit, for according to Real-time Collection to field data determine corresponding recruitment factor, wherein recruitment factor is associated with flue gas loss and attemperation water flow;
Converting unit, for being converted to the quantification gradation in fuzzy domain respectively by cleaning gene, time integral Summing Factor recruitment factor;
Solving unit, blowing grey fuzzy control model for what the input of cleaning gene quantification gradation, time integral factor quantification grade and recruitment factor quantification gradation preset, resolving blowing grey fuzzy control model, to obtain corresponding blowing grey confidence level;
Instruction generation unit, for generating corresponding blow grey instruction according to blowing grey confidence level and unit operating mode;
Instruction sending unit, sends to PLC for blowing grey instruction, so that PLC blows ash manipulation accordingly according to blowing grey instruction.
In one embodiment, cleaning gene determining unit specifically utilizes formula CF=k sj/ k lxobtain cleaning gene, wherein k sjfor actual heat transfer coefficient, k lxfor desired heat transfer coefficient.
In one embodiment, cleaning gene determining unit specifically utilizes formula CF=k sj/ F (k sj, k lx) obtain cleaning gene, wherein k sjfor actual heat transfer coefficient, k lxfor desired heat transfer coefficient, F is filter function, for retaining the low frequency characteristic of desired heat transfer coefficient, and synchronous with actual heat transfer coefficient on high frequency behavioral characteristics.
In one embodiment, cleaning gene determining unit specifically utilizes formula:
k sj = Q · B cal A · Δt × 10 3
Calculate actual heat transfer coefficient k sj, wherein Q is the caloric receptivity by hot working fluid, B calfor calculated fuel consumption, A is the heating surface area of heating surface, and Δ t is temperature and pressure; Wherein Δ t is:
Δt = Δ t σ - Δ t M ln Δ t σ Δ t M
Wherein import and export the temperature difference respectively having a flue-gas temperature and Temperature of Working at heating surface, use parameter Δ t respectively σwith Δ t mrepresent, and Δ t σ> Δ t m;
Wherein Q is associated with reheated steam flow, B calbe associated with as-fired coal matter ash content and low heat valve.
In one embodiment, cleaning gene determining unit specifically for the light pipe curtain wall directly obtaining radiations heat energy from burner hearth, utilizes formula:
k lx = α 1 1 + ( 1 + Q f / Q ) ( ϵ + 1 α 2 ) α 1
Calculate desired heat transfer coefficient k lx, wherein α 1for fume side exothermic coefficient, α 2for working medium side coefficient of convective heat transfer, Q ffor heating surface accepts the radiations heat energy of burner hearth, Q is the caloric receptivity by hot working fluid, and ε is contamination factor;
Wherein α 1be associated with as-fired coal matter moisture and Oxygen Amount in Flue Gas.
In one embodiment, cleaning gene determining unit specifically for the convection current light pipe tube bank directly being obtained radiations heat energy by burner hearth, utilizes formula:
k lx = ψ α 1 1 + ( 1 + Q f / Q ) α 1 α 2
Calculate desired heat transfer coefficient k lx, wherein α 1for fume side exothermic coefficient, α 2for working medium side coefficient of convective heat transfer, Q ffor heating surface accepts the radiations heat energy of burner hearth, Q is the caloric receptivity by hot working fluid, and ε is contamination factor, and ψ is thermal effective coefficient;
Wherein α 1be associated with as-fired coal matter moisture and Oxygen Amount in Flue Gas.
In one embodiment, cleaning gene determining unit specifically for the convection current light pipe tube bank not obtaining direct radiations heat energy from burner hearth, utilizes formula:
k lx = ψ α 1 1 + α 1 α 2
Calculate desired heat transfer coefficient k lx, wherein α 1for fume side exothermic coefficient, α 2for working medium side coefficient of convective heat transfer, ψ is thermal effective coefficient;
Wherein α 1be associated with as-fired coal matter moisture and Oxygen Amount in Flue Gas.
According to a further aspect in the invention, a kind of coal-fired power station boiler intelligent ash blowing closed-loop control system is provided, comprises data acquisition unit, intelligent ash blowing server, PLC and intelligent ash blowing operator station, wherein:
Data acquisition unit, for Real-time Collection field data, and sends to intelligent ash blowing server by the field data of collection;
Intelligent ash blowing server is the intelligent ash blowing server that above-mentioned any embodiment relates to;
PLC, blows ash manipulation accordingly for the grey instruction of blowing sent according to intelligent ash blowing server;
Intelligent ash blowing operator station, for being presented in the relevant information of soot-blowing control, and sends the Non-follow control instruction relevant to soot-blowing control by intelligent ash blowing server to PLC.
The present invention is by the running status of real-time computation and analysis boiler heating surface and pollution level, to ensure premised on unit economy and security, by formulating rationally perfect soot-blowing control strategy, realize becoming the intelligent ash blowing closed-loop control system that " at regular time and quantity " is " appropriate as required ".In the guaranteed situation of heating surface heat transfer characteristic, the object of reduce to greatest extent and blow grey frequency, reach energy-saving and cost-reducing, improve unit operation economy and security.
Description of the invention provides in order to example with for the purpose of describing, and is not exhaustively or limit the invention to disclosed form.Many modifications and variations are obvious for the ordinary skill in the art.Selecting and describing embodiment is in order to principle of the present invention and practical application are better described, and enables those of ordinary skill in the art understand the present invention thus design the various embodiments with various amendment being suitable for special-purpose.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is the schematic diagram of a coal-fired power station boiler intelligent ash blowing closed loop control method of the present invention embodiment.
Fig. 2 is the schematic diagram of an intelligent ash blowing server of the present invention embodiment.
Fig. 3 is the schematic diagram of a coal-fired power station boiler intelligent ash blowing closed-loop control system of the present invention embodiment.
Fig. 4 is the structural representation that intelligent ash blowing of the present invention optimizes a closed-loop control system embodiment.
Fig. 5 is the logic diagram of an intelligent optimization closed-loop control system of the present invention embodiment.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Illustrative to the description only actually of at least one exemplary embodiment below, never as any restriction to the present invention and application or use.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
Unless specifically stated otherwise, otherwise positioned opposite, the numerical expression of the parts of setting forth in these embodiments and step and numerical value do not limit the scope of the invention.
Meanwhile, it should be understood that for convenience of description, the size of the various piece shown in accompanying drawing is not draw according to the proportionate relationship of reality.
May not discuss in detail for the known technology of person of ordinary skill in the relevant, method and apparatus, but in the appropriate case, described technology, method and apparatus should be regarded as a part of authorizing description.
In all examples with discussing shown here, any occurrence should be construed as merely exemplary, instead of as restriction.Therefore, other example of exemplary embodiment can have different values.
It should be noted that: represent similar terms in similar label and letter accompanying drawing below, therefore, once be defined in an a certain Xiang Yi accompanying drawing, then do not need to be further discussed it in accompanying drawing subsequently.
Fig. 1 is the schematic diagram of a coal-fired power station boiler intelligent ash blowing closed loop control method of the present invention embodiment.As shown in Figure 1, the method step of the present embodiment is as follows:
Step 101, according to the field data that Real-time Collection arrives, determines the cleaning gene of heating surface, the recruitment factor that time integral Summing Factor is corresponding.
Wherein cleaning gene is associated with the contaminated degree of heating surface; The time integral factor is associated with the dust stratification speed of heating surface, and this factor larger expression dust stratification speed is faster; Recruitment factor is associated with flue gas loss and attemperation water flow.
In one embodiment, cleaning gene can be CF=k sj/ k lx, wherein CF is dimensionless factor, k sjfor actual heat transfer coefficient (W/m 2dEG C), k lxfor desired heat transfer coefficient (W/m 2dEG C).
In another embodiment, cleaning gene can also be CF=k sj/ F (k sj, k lx), wherein k sjfor actual heat transfer coefficient, k lxfor desired heat transfer coefficient, F is filter function, for retaining the low frequency characteristic of desired heat transfer coefficient, and synchronous with actual heat transfer coefficient on high frequency behavioral characteristics.
Preferably, can select the filter construction form being easy to Project Realization, the transfer function of wave filter is G (s)=Ts/ (Ts+1).Wherein G (s) transfer function that is wave filter, s is the complex variable of Laplace transformation, and T is inertia time (s).
Step 102, is converted to the quantification gradation in fuzzy domain respectively by cleaning gene, time integral Summing Factor recruitment factor.
Step 103, what the input of cleaning gene quantification gradation, time integral factor quantification grade and recruitment factor quantification gradation preset blows grey fuzzy control model, resolves blowing grey fuzzy control model, to obtain corresponding blowing grey confidence level.
Step 104, generates corresponding blow grey instruction according to blowing grey confidence level and unit operating mode.
Preferably, unit unusual service condition, main reheated steam overtemperature can be considered here and owe the factor such as temperature, heating surface tube wall temperature overtemperature, heating surface blowing time interval, generating and final blow grey instruction.
Step 105, will blow grey instruction and send to PLC, so that PLC blows ash manipulation accordingly according to blowing grey instruction.
Based on the coal-fired power station boiler intelligent ash blowing closed loop control method that the above embodiment of the present invention provides, by running status and the pollution level of real-time computation and analysis boiler heating surface, to ensure premised on unit economy and security, by formulating rationally perfect soot-blowing control strategy, realize becoming the intelligent ash blowing closed-loop control system that " at regular time and quantity " is " appropriate as required ".In the guaranteed situation of heating surface heat transfer characteristic, the object of reduce to greatest extent and blow grey frequency, reach energy-saving and cost-reducing, improve unit operation economy and security.
Here it should be noted that, in power plant's actual moving process, the factor of ash is blown in impact is complicated and changeable, is not also linear relationship between several factors, only considers that heating surface retrofit degree is far from being enough when carrying out blowing ash and judging.Native system introduces fuzzy control concept, utilize fuzzy message treatment technology process uncertainty, nonlinear problem ability strong, be applicable to expressing those fuzzy or knowledge qualitatively, and the features such as the experience of some domain experts and operator can be expressed, establish and blow grey fuzzy judgement model.It chooses fuzzy control input and output according to the factor affecting top blast ash judgement of being heated, then with heating surface retrofit degree for main other factors considering the top blast ash that is heated for principle formulates fuzzy control rule, design fuzzy controller, what finally provide each heating surface blows grey confidence level, and this value larger expression heating surface needs the tendency of blowing ash larger.In implementation process, construct fuzzy control model be divided into the following steps:
A) the choosing of fuzzy control input and output parameter
For different heating surface, the factor that ash judgement is blown in impact is different, and the actual demand of top blast ash that is heated for each, can adopt above-mentioned heating surface cleaning gene, time integral Summing Factor recruitment factor.
B) obfuscation of fuzzy control parameter
The actual domain of each input parameter is adjusted by power plant's actual operating data and is drawn, and their fuzzy domain is all [-33], and domain defines 3 linguistic variable N, O, P for this reason.Output parameter blows the basic domain of grey confidence level for [01], and fuzzy domain is [-33], and domain defines 5 linguistic variable N for this reason, NM, O, PM, P.
C) the choosing of membership function
First, membership function is exactly to [0 at certain domain, 1] mapping on, be used for reflecting that certain object has certain fuzzy quality or belongs to the degree of certain fuzzy concept, through the analysis verification of a large amount of historical data of this unit, the membership function of each input, output parameter all adopts Gaussian function.
Secondly, quantification gradation process is carried out to basic domain, the object of this process is by discrete for continuous print point on basic domain, several parameter area is converted into domain scope, then the membership function by having tried to achieve asks for the degree of membership of the corresponding each fuzzy subset of each quantification gradation, the obfuscation of precise volume can be completed, obtain parameter assignment table.Concrete conversion formula is as follows:
If the real variable scope of precise volume x is [a, b], the precision and quantity-variation that [a, b] is interval is converted to the variable y of [-m, m] interval change, adopts following formula:
Y=2m[x-(a+b)/2]/(b-a)
The quantizing range that this project adopts is [-3,3], and the m namely in above formula is taken as 3.
The determination of the grey fuzzy rule of the top blast that d) is heated
Setting up the principle of blowing grey fuzzy control rule is: based on heating surface actual levels of pollution, consider the factors such as safety in production, status of equipment, determine reasonably to blow grey frequency.Fuzzy control rule table is as shown in table 1.
Table 1
In Table 1, rule 1 ~ 9 represents the relation of the basic pollution level of heating surface and the blowing time frequency, and Design with Rule implication is, first ensures under normal circumstances, and heating surface is unlikely to repeat to send to blow grey instruction at short notice.Secondly, when heating surface have certain dust stratification but not serious or more serious dust stratification, suitable elongation or shorten the process of next time blowing ash.
In addition, rule 10 ~ 14 logic of supplementarity participates in forming, effect is in some special occasions, belonging to heating surface, soot blower does not come into operation completely, and to cause blowing ash unclean, or purge thoroughly but external factor still makes heating surface have extremely strong fouling and slagging tendentiousness etc. comparatively under emergency, can be suitable ignore temporal frequency limit value and send in time and blow grey instruction.
E) fuzzy reasoning and de-fuzzy method
Fuzzy reasoning and de-fuzzy method are Mamdani rationalistic method.The Output rusults of reasoning is the confidence level of blowing ash.To top blast ash Fuzzy Identification Model of being respectively heated, threshold value can be utilized to carry out blowing ash and to judge.Namely set a threshold value, compare with it with the grey confidence value that blows obtained in real time, when being greater than this value, heating surface need carry out blowing ash.Blow the setting of grey threshold value, according to off-line test in early stage, consider the normal blowing time of heating surface under various condition and carry out adjustment and determine.
Preferably, actual heat transfer coefficient k sjfor:
k sj = Q · B cal A · Δt × 10 3
Wherein Q is the caloric receptivity (kJ/kg) by hot working fluid, B calfor calculated fuel consumption (kg/s), A is the heating surface area (m of heating surface 2), Δ t is temperature and pressure (DEG C).Wherein Δ t is:
Δt = Δ t σ - Δ t M ln Δ t σ Δ t M
Wherein import and export the temperature difference respectively having a flue-gas temperature and Temperature of Working at heating surface, use parameter Δ t respectively σwith Δ t mrepresent, and Δ t σ> Δ t m.Wherein Q is associated with reheated steam flow, B calbe associated with as-fired coal matter ash content and low heat valve.
For desired heat transfer coefficient, following several situation can be had:
For the light pipe curtain wall directly obtaining radiations heat energy from burner hearth, desired heat transfer coefficient is:
k lx = α 1 1 + ( 1 + Q f / Q ) ( ϵ + 1 α 2 ) α 1
Wherein α 1for fume side exothermic coefficient (W/m 2dEG C), α 2for working medium side coefficient of convective heat transfer (W/m 2dEG C), Q ffor heating surface accepts the radiations heat energy (kJ/kg) of burner hearth, Q is the caloric receptivity (kJ/kg) by hot working fluid, and ε is contamination factor (m 2dEG C/W).Wherein α 1be associated with as-fired coal matter moisture and Oxygen Amount in Flue Gas.
For the convection current light pipe tube bank directly being obtained radiations heat energy by burner hearth, desired heat transfer coefficient is:
k lx = ψ α 1 1 + ( 1 + Q f / Q ) α 1 α 2
Wherein α 1for fume side exothermic coefficient, α 2for working medium side coefficient of convective heat transfer, Q ffor heating surface accepts the radiations heat energy of burner hearth, Q is the caloric receptivity by hot working fluid, and ε is contamination factor, and ψ is thermal effective coefficient (dimensionless).Wherein α 1be associated with as-fired coal matter moisture and Oxygen Amount in Flue Gas.
For the convection current light pipe tube bank not obtaining direct radiations heat energy from burner hearth, desired heat transfer coefficient is:
k lx = ψ α 1 1 + α 1 α 2
Wherein α 1for fume side exothermic coefficient, α 2for working medium side coefficient of convective heat transfer, ψ is thermal effective coefficient.Wherein α 1be associated with as-fired coal matter moisture and Oxygen Amount in Flue Gas.
Fig. 2 is the schematic diagram of an intelligent ash blowing server of the present invention embodiment.As shown in Figure 2, intelligent ash blowing server comprises data receipt unit 201, cleaning gene determining unit 202, time integral factor specifying unit 203, recruitment factor determining unit 204, converting unit 205, solving unit 206, instruction generation unit 207 and instruction sending unit 208.Wherein:
Data receipt unit 201, for receiving the field data of data acquisition unit Real-time Collection.
Cleaning gene determining unit 202, for the cleaning gene of field data determination heating surface arrived according to Real-time Collection, wherein cleaning gene is associated with the contaminated degree of heating surface.
Time integral factor specifying unit 203, for the field data determination time integral factor arrived according to Real-time Collection, wherein the time integral factor is associated with the dust stratification speed of heating surface.
Recruitment factor determining unit 204, for according to Real-time Collection to field data determine corresponding recruitment factor, wherein recruitment factor is associated with flue gas loss and attemperation water flow.
Converting unit 205, for being converted to the quantification gradation in fuzzy domain respectively by cleaning gene, time integral Summing Factor recruitment factor.
Solving unit 206, blowing grey fuzzy control model for what the input of cleaning gene quantification gradation, time integral factor quantification grade and recruitment factor quantification gradation preset, resolving blowing grey fuzzy control model, to obtain corresponding blowing grey confidence level.
Instruction generation unit 207, for generating corresponding blow grey instruction according to blowing grey confidence level and unit operating mode.
Instruction sending unit 208, sends to PLC for blowing grey instruction, so that PLC blows ash manipulation accordingly according to blowing grey instruction.
Based on the intelligent ash blowing server that the above embodiment of the present invention provides, by running status and the pollution level of real-time computation and analysis boiler heating surface, to ensure premised on unit economy and security, by formulating rationally perfect soot-blowing control strategy, realize becoming the intelligent ash blowing closed-loop control system that " at regular time and quantity " is " appropriate as required ".In the guaranteed situation of heating surface heat transfer characteristic, the object of reduce to greatest extent and blow grey frequency, reach energy-saving and cost-reducing, improve unit operation economy and security
Preferably, cleaning gene determining unit 202 specifically utilizes formula CF=k sj/ k lxobtain cleaning gene, wherein k sjfor actual heat transfer coefficient, k lxfor desired heat transfer coefficient.
Preferably, cleaning gene determining unit 202 specifically utilizes formula CF=k sj/ F (k sj, k lx) obtain cleaning gene, wherein k sjfor actual heat transfer coefficient, k lxfor desired heat transfer coefficient, F is filter function, for retaining the low frequency characteristic of desired heat transfer coefficient, and synchronous with actual heat transfer coefficient on high frequency behavioral characteristics.
Preferably, cleaning gene determining unit 202 specifically utilizes formula:
k sj = Q · B cal A · Δt × 10 3
Calculate actual heat transfer coefficient k sj, wherein Q is the caloric receptivity by hot working fluid, B calfor calculated fuel consumption, A is the heating surface area of heating surface, and Δ t is temperature and pressure; Wherein Δ t is:
Δt = Δ t σ - Δ t M ln Δ t σ Δ t M
Wherein import and export the temperature difference respectively having a flue-gas temperature and Temperature of Working at heating surface, use parameter Δ t respectively σwith Δ t mrepresent, and Δ t σ> Δ t m;
Wherein Q is associated with reheated steam flow, B calbe associated with as-fired coal matter ash content and low heat valve.
Preferably, cleaning gene determining unit 202 specifically for the light pipe curtain wall directly obtaining radiations heat energy from burner hearth, utilizes formula:
k lx = α 1 1 + ( 1 + Q f / Q ) ( ϵ + 1 α 2 ) α 1
Calculate desired heat transfer coefficient k lx, wherein α 1for fume side exothermic coefficient, α 2for working medium side coefficient of convective heat transfer, Q ffor heating surface accepts the radiations heat energy of burner hearth, Q is the caloric receptivity by hot working fluid, and ε is contamination factor;
Wherein α 1be associated with as-fired coal matter moisture and Oxygen Amount in Flue Gas.
Preferably, cleaning gene determining unit 202 specifically for the convection current light pipe tube bank directly being obtained radiations heat energy by burner hearth, utilizes formula:
k lx = ψ α 1 1 + ( 1 + Q f / Q ) α 1 α 2
Calculate desired heat transfer coefficient k lx, wherein α 1for fume side exothermic coefficient, α 2for working medium side coefficient of convective heat transfer, Q ffor heating surface accepts the radiations heat energy of burner hearth, Q is the caloric receptivity by hot working fluid, and ε is contamination factor, and ψ is thermal effective coefficient;
Wherein α 1be associated with as-fired coal matter moisture and Oxygen Amount in Flue Gas.
Preferably, cleaning gene determining unit 202 specifically for the convection current light pipe tube bank not obtaining direct radiations heat energy from burner hearth, utilizes formula:
k lx = ψ α 1 1 + α 1 α 2
Calculate desired heat transfer coefficient k lx, wherein α 1for fume side exothermic coefficient, α 2for working medium side coefficient of convective heat transfer, ψ is thermal effective coefficient;
Wherein α 1be associated with as-fired coal matter moisture and Oxygen Amount in Flue Gas.
Fig. 3 is the schematic diagram of a coal-fired power station boiler intelligent ash blowing closed-loop control system of the present invention embodiment.As shown in Figure 3, this system comprises data acquisition unit 301, intelligent ash blowing server 302, PLC (ProgrammableLogicController, programmable logic controller (PLC)) 303 and intelligent ash blowing operator station 304.Wherein:
Data acquisition unit 301, for Real-time Collection field data, and sends to intelligent ash blowing server 302 by the field data of collection.
Intelligent ash blowing server 302 is the intelligent ash blowing server that any embodiment in Fig. 2 relates to.
PLC 303, blows ash manipulation accordingly for the grey instruction of blowing sent according to intelligent ash blowing server.
Intelligent ash blowing operator station 304, for being presented in the relevant information of soot-blowing control, and sends the Non-follow control instruction relevant to soot-blowing control by intelligent ash blowing server to PLC.
Based on the coal-fired power station boiler intelligent ash blowing closed-loop control system that the above embodiment of the present invention provides, by running status and the pollution level of real-time computation and analysis boiler heating surface, to ensure premised on unit economy and security, by formulating rationally perfect soot-blowing control strategy, realize becoming the intelligent ash blowing closed-loop control system that " at regular time and quantity " is " appropriate as required ".In the guaranteed situation of heating surface heat transfer characteristic, the object of reduce to greatest extent and blow grey frequency, reach energy-saving and cost-reducing, improve unit operation economy and security.
Corresponding intelligent ash blowing optimizes closed-loop control system structure chart as shown in Figure 4.Wherein, operate in the on-the-spot DCS(DistributedControlSystem that the data communication module on intelligent ash blowing server is calculated for model by communications protocol collection, dcs) data in system, and they are written in the real-time data base on intelligent ash blowing server.Secondly, on intelligent ash blowing server, the running intelligent ash blowing computing platform having configured algorithm can calculate blowing grey instruction and they being sent to PLC of each heating surface.Again, PLC receives from the instruction of intelligent ash blowing server and the critical data relevant to operation monitoring, then will blow grey instruction and send to DCS by hardwire, critical data is write DCS system by communications protocol.Finally, the intelligent ash blowing monitor supervision platform in operator station can be monitored the real-time pollution situation of each heating surface and report to the police, and carries out real time monitoring and can the start and stop of Non-follow control slag-blowing equipmemt to soot blower running status.
Fig. 5 is the logic diagram of an intelligent optimization closed-loop control system of the present invention embodiment.Lower mask body is described the module in this system logic block diagram.
(1) real-time thermal parameter acquisition module
This module by communications protocol image data, and uses interface image data to be write in real-time data base.It mainly obtains following data: boiler load, heating surface working medium side out temperature at different levels and pressure, fume side out temperature, economizer exit flue gas oxygen content, air preheater fume side inlet and outlet pressure, soot blower actuating signal, Stream temperature, main vapour pressure, feed temperature, feedwater flow, reheat steam temperature, reheat pressure, high pressure cylinder delivery temperature, high pressure cylinder pressure at expulsion, exhaust gas temperature, cold wind temperature, total blast volume, desuperheating water of superheater flow, feed pump outlet temperature, fuel flow, coal-supplying amount, O in back-end ductwork 2volume share and SO 2concentration etc., coal machine import wind-warm syndrome, pulverizer capacity, electric mill stream, electric mill pressure, coal pulverizer go out one's intention as revealed in what one says powder mixing temperature, coal pulverizer First air inlet flow rate, environment temperature etc.
(2) power plant's operational factor hard measurement module
The disappearance of power plant's part important state parameter or measurement are forbidden to be one of restriction boiler heating surface pollution monitoring model realization major reason that is real-time, that accurately calculate.The technology path that native system adopts Analysis on Mechanism to combine with data fitting, the flue gas oxygen content of key, the soft-measuring technique such as coal industry analysis and reheated steam flow are furtherd investigate, solve the soot blowing and optimal model calculation deviation problem that oxygen amount drift, the delayed and flow disappearance of coal data etc. cause, the real-time online achieving heating surface retrofit monitoring model calculates, and improves calculating accuracy.This module specifically comprises:
A) Oxygen Amount in Flue Gas hard measurement module
Oxygen amount soft measurement algorithm analyzes therrmodynamic system general principle and moving law according to matter energy law of conservation, by studying domestic and international more than 400 kinds of coal datas, analyze boiler heat, air quantity, the inherent restriction relation of oxygen amount three, find that it all obeys specific statistical law.
In implementation process, adopt main steam temperature and pressure, feed temperature, feedwater flow, reheated steam flow, reheat steam temperature and the service data such as pressure, exhaust temperature of HP and pressure, exhaust gas temperature, cold wind temperature to obtain every loss in boiler heat balance and boiler efficiency and boiler total oxygen demand heat, then obtain oxygen amount hard measurement result in conjunction with total blast volume.
B) coal industry analysis hard measurement module
Coal industry analysis soft measurement algorithm sets up computation model by the chemism, heat balance principle, mass balance principle etc. of coal combustion, be easy to the reliable data measured according to coal pulverizer ventilation, boiler oil amount, boiler oil amount, main steam pressure, exhaust gas temperature etc., extrapolate the moisture of as-fired coal matter, ash content and low heat valve.
In implementation process, adopt coal pulverizer inlet air temperature, air quantity, coal-supplying amount, coal pulverizer power and coal pulverizer to go out one's intention as revealed in what one says powder mixing temperature and draw moisture by the heat balance solving equation of coal pulverizer.
Secondly, obtain by coal-supplying amount, steam pressure, vapor (steam) temperature the heat that main steam and reheated steam absorbs, then cut the heat that heated feed water and desuperheating water consume, then obtain ature of coal low heat valve in conjunction with heat loss due to exhaust gas.
Finally, commonly use coal data based on 53 kinds of thermal power plants, draw ature of coal ash content by the statistical law of moisture, low heat valve and ature of coal ash content.
C) reheated steam flow soft measurement module
Reheated steam flow soft measurement algorithm obtains high-precision stable state reheated steam flow formula by the mass balance equation of reheated steam cold junction.Obtain dynamic reheating flow rate calculation formula by Fu Liugeer formula, after the two being merged, obtain reheated steam flow.
In implementation process, highly add throttle (steam) temperature by different levels, pressure and inflow temperature pressure obtain the amount of drawing gas at different levels by high heating balance, are deducted to draw gas to measure stable state reheated steam flow value by main steam flow.By Fu Liugeer formula, obtain dynamic reheated steam flow by the matching of boiler side reheat steam temperature pressure, then by the method for dynamic compensation, the two is merged.
Because those skilled in the art understand how specifically to carry out computing to obtain the result of above-mentioned three hard measurement modules, therefore do not launch here to describe.
(3) heating surface retrofit state monitoring module
Native system establishes in units of single heating surface, in real time the monitoring algorithm of reflection heating surface retrofit degree, and the unified cleaning gene that adopts of heating surface represents heating surface retrofit state.The concrete process of cleaning gene can see the embodiment provided above.
(4) grey fuzzy Judgment module is blown
In power plant's actual moving process, the factor of ash is blown in impact is complicated and changeable, is not also linear relationship between several factors, only considers that heating surface retrofit degree is far from being enough when carrying out blowing ash and judging.Here fuzzy control concept is introduced, utilize fuzzy message treatment technology process uncertainty, nonlinear problem ability strong, be applicable to expressing those fuzzy or knowledge qualitatively, and the features such as the experience of some domain experts and operator can be expressed, establish and blow grey fuzzy control model.It chooses fuzzy control input and output according to the factor affecting top blast ash judgement of being heated, then with heating surface retrofit degree for main other factors considering the top blast ash that is heated for principle formulates fuzzy control rule, design fuzzy controller, what finally provide each heating surface blows grey confidence level, and this value larger expression heating surface needs the tendency of blowing ash larger.The cleaning gene related in embodiment above can considering in implementation process, the time integral factor and the recruitment factor preset, cleaning gene, the time integral factor and the recruitment factor that presets being input to blows in grey fuzzy control model, resolve blowing grey fuzzy control model, to obtain corresponding blowing grey confidence level.
(5) heating surface soot-blowing control module
Determine whether to send final blow grey instruction according to blowing grey confidence level in this module.In addition, also can consider unit unusual service condition, main reheated steam overtemperature and owe the factors such as temperature, heating surface tube wall temperature overtemperature, heating surface blowing time interval.
(6) grey automatic control module is blown
This module is used for operating accordingly according to blowing grey instruction control slag-blowing equipmemt.In addition, this module also can provide intelligent ash blowing monitoring interface, for monitoring the real-time pollution situation of each heating surface and report to the police, carries out real time monitoring and can the start and stop of Non-follow control slag-blowing equipmemt to soot blower running status.
In implementation process, configuration issues intelligent ash blowing real time monitoring picture, intelligent ash blowing real time monitoring comprises heating surface watch circle and soot blower watch circle, the real-time pollutional condition of each heating surface can be monitored by heating surface watch circle, and when blowing grey confidence level and exceeding alarm threshold, can report to the police by corresponding warning setting; Real time monitoring can be carried out to the running status of soot blower and can the start and stop of Non-follow control slag-blowing equipmemt by soot blower watch circle.
Present invention achieves the quantification monitoring of boiler heating surface pollution level, for realizing the digitlization of heating surface retrofit observation process, visually providing reliable means, be conducive to the fine-grained management level improving soot blower system operation and run, to reduction operation person works intensity, increase work efficiency and power plant's operation and management level significant.
The present invention makes to blow grey frequency and blows the grey steam consumption and power consumption obviously reduces, and not only extends the service life of slag-blowing equipmemt, saves corresponding depreciation and maintenance cost, reduce boiler exhaust gas loss and improve boiler efficiency.
One of ordinary skill in the art will appreciate that all or part of step realizing above-described embodiment can have been come by hardware, the hardware that also can carry out instruction relevant by program completes, described program can be stored in a kind of computer-readable recording medium, the above-mentioned storage medium mentioned can be read-only storage, disk or CD etc.

Claims (11)

1. a coal-fired power station boiler intelligent ash blowing closed loop control method, is characterized in that, comprising:
According to the field data that Real-time Collection arrives, determine the cleaning gene of heating surface, the recruitment factor that time integral Summing Factor is corresponding, wherein cleaning gene is associated with the contaminated degree of heating surface, the time integral factor is associated with the dust stratification speed of heating surface, and recruitment factor is associated with flue gas loss and attemperation water flow; Wherein cleaning gene CF=k sj/ F (k sj, k lx), k sjfor actual heat transfer coefficient, k lxfor desired heat transfer coefficient, F is filter function, for retaining the low frequency characteristic of desired heat transfer coefficient, and synchronous with actual heat transfer coefficient on high frequency behavioral characteristics;
Respectively cleaning gene, time integral Summing Factor recruitment factor are converted to the quantification gradation in fuzzy domain;
What the input of cleaning gene quantification gradation, time integral factor quantification grade and recruitment factor quantification gradation preset blows grey fuzzy control model, resolves blowing grey fuzzy control model, to obtain corresponding blowing grey confidence level;
Generate corresponding blow grey instruction according to blowing grey confidence level and unit operating mode;
Grey instruction will be blown and send to PLC, so that PLC blows ash manipulation accordingly according to blowing grey instruction.
2. method according to claim 1, is characterized in that,
Actual heat transfer coefficient k sjfor:
k s j = Q · B c a l A · Δ t × 10 3
Wherein Q is the caloric receptivity by hot working fluid, B calfor calculated fuel consumption, A is the heating surface area of heating surface, and Δ t is temperature and pressure; Wherein Δ t is:
Δ t = Δt σ - Δt M l n Δt σ Δt M
Wherein import and export the temperature difference respectively having a flue-gas temperature and Temperature of Working at heating surface, use parameter Δ t respectively σwith Δ t mrepresent, and Δ t σ> Δ t m;
Wherein Q is associated with reheated steam flow, B calbe associated with as-fired coal matter ash content and low heat valve.
3. method according to claim 1, is characterized in that,
For the light pipe curtain wall directly obtaining radiations heat energy from burner hearth, desired heat transfer coefficient is:
k 1 x = α 1 1 + ( 1 + Q f / Q ) ( ϵ + 1 α 2 ) α 1
Wherein α 1for fume side exothermic coefficient, α 2for working medium side coefficient of convective heat transfer, Q ffor heating surface accepts the radiations heat energy of burner hearth, Q is the caloric receptivity by hot working fluid, and ε is contamination factor;
Wherein α 1be associated with as-fired coal matter moisture and Oxygen Amount in Flue Gas.
4. method according to claim 1, is characterized in that,
For the convection current light pipe tube bank directly being obtained radiations heat energy by burner hearth, desired heat transfer coefficient is:
k 1 x = ψα 1 1 + ( 1 + Q f / Q ) α 1 α 2
Wherein α 1for fume side exothermic coefficient, α 2for working medium side coefficient of convective heat transfer, Q ffor heating surface accepts the radiations heat energy of burner hearth, Q is the caloric receptivity by hot working fluid, and ε is contamination factor, and ψ is thermal effective coefficient;
Wherein α 1be associated with as-fired coal matter moisture and Oxygen Amount in Flue Gas.
5. method according to claim 1, is characterized in that,
For the convection current light pipe tube bank not obtaining direct radiations heat energy from burner hearth, desired heat transfer coefficient is:
k 1 x = ψα 1 1 + α 1 α 2
Wherein α 1for fume side exothermic coefficient, α 2for working medium side coefficient of convective heat transfer, ψ is thermal effective coefficient;
Wherein α 1be associated with as-fired coal matter moisture and Oxygen Amount in Flue Gas.
6. one kind realizes the intelligent ash blowing server of coal-fired power station boiler intelligent ash blowing closed-loop control, it is characterized in that, comprise data receipt unit, cleaning gene determining unit, time integral factor specifying unit, recruitment factor determining unit, converting unit, solving unit, instruction generation unit and instruction sending unit, wherein:
Data receipt unit, for receiving the field data of data acquisition unit Real-time Collection;
Cleaning gene determining unit, for the cleaning gene of field data determination heating surface arrived according to Real-time Collection, wherein cleaning gene is associated with the contaminated degree of heating surface; Wherein cleaning gene CF=k sj/ F (k sj, k lx), k sjfor actual heat transfer coefficient, k lxfor desired heat transfer coefficient, F is filter function, for retaining the low frequency characteristic of desired heat transfer coefficient, and synchronous with actual heat transfer coefficient on high frequency behavioral characteristics;
Time integral factor specifying unit, for the field data determination time integral factor arrived according to Real-time Collection, wherein the time integral factor is associated with the dust stratification speed of heating surface;
Recruitment factor determining unit, for according to Real-time Collection to field data determine corresponding recruitment factor, wherein recruitment factor is associated with flue gas loss and attemperation water flow;
Converting unit, for being converted to the quantification gradation in fuzzy domain respectively by cleaning gene, time integral Summing Factor recruitment factor;
Solving unit, blowing grey fuzzy control model for what the input of cleaning gene quantification gradation, time integral factor quantification grade and recruitment factor quantification gradation preset, resolving blowing grey fuzzy control model, to obtain corresponding blowing grey confidence level;
Instruction generation unit, for generating corresponding blow grey instruction according to blowing grey confidence level and unit operating mode;
Instruction sending unit, sends to PLC for blowing grey instruction, so that PLC blows ash manipulation accordingly according to blowing grey instruction.
7. intelligent ash blowing server according to claim 6, is characterized in that,
Cleaning gene determining unit specifically utilizes formula:
k s j = Q · B c a l A · Δ t × 10 3
Calculate actual heat transfer coefficient k sj, wherein Q is the caloric receptivity by hot working fluid, B calfor calculated fuel consumption, A is the heating surface area of heating surface, and Δ t is temperature and pressure; Wherein Δ t is:
Δ t = Δt σ - Δt M l n Δt σ Δt M
Wherein import and export the temperature difference respectively having a flue-gas temperature and Temperature of Working at heating surface, use parameter Δ t respectively σwith Δ t mrepresent, and Δ t σ> Δ t m;
Wherein Q is associated with reheated steam flow, B calbe associated with as-fired coal matter ash content and low heat valve.
8. intelligent ash blowing server according to claim 6, is characterized in that,
Cleaning gene determining unit specifically for the light pipe curtain wall directly obtaining radiations heat energy from burner hearth, utilizes formula:
k 1 x = α 1 1 + ( 1 + Q f / Q ) ( ϵ + 1 α 2 ) α 1
Calculate desired heat transfer coefficient k lx, wherein α 1for fume side exothermic coefficient, α 2for working medium side coefficient of convective heat transfer, Q ffor heating surface accepts the radiations heat energy of burner hearth, Q is the caloric receptivity by hot working fluid, and ε is contamination factor;
Wherein α 1be associated with as-fired coal matter moisture and Oxygen Amount in Flue Gas.
9. intelligent ash blowing server according to claim 6, is characterized in that,
Cleaning gene determining unit specifically for the convection current light pipe tube bank directly being obtained radiations heat energy by burner hearth, utilizes formula:
k 1 x = ψα 1 1 + ( 1 + Q f / Q ) α 1 α 2
Calculate desired heat transfer coefficient k lx, wherein α 1for fume side exothermic coefficient, α 2for working medium side coefficient of convective heat transfer, Q ffor heating surface accepts the radiations heat energy of burner hearth, Q is the caloric receptivity by hot working fluid, and ε is contamination factor, and ψ is thermal effective coefficient;
Wherein α 1be associated with as-fired coal matter moisture and Oxygen Amount in Flue Gas.
10. intelligent ash blowing server according to claim 6, is characterized in that,
Cleaning gene determining unit specifically for the convection current light pipe tube bank not obtaining direct radiations heat energy from burner hearth, utilizes formula:
k 1 x = ψα 1 1 + α 1 α 2
Calculate desired heat transfer coefficient k lx, wherein α 1for fume side exothermic coefficient, α 2for working medium side coefficient of convective heat transfer, ψ is thermal effective coefficient;
Wherein α 1be associated with as-fired coal matter moisture and Oxygen Amount in Flue Gas.
11. 1 kinds of coal-fired power station boiler intelligent ash blowing closed-loop control systems, is characterized in that, comprise data acquisition unit, intelligent ash blowing server, PLC and intelligent ash blowing operator station, wherein:
Data acquisition unit, for Real-time Collection field data, and sends to intelligent ash blowing server by the field data of collection;
Intelligent ash blowing server, the intelligent ash blowing server related to any one of claim 6-10;
PLC, blows ash manipulation accordingly for the grey instruction of blowing sent according to intelligent ash blowing server;
Intelligent ash blowing operator station, for being presented in the relevant information of soot-blowing control, and sends the Non-follow control instruction relevant to soot-blowing control by intelligent ash blowing server to PLC.
CN201410040136.5A 2014-01-28 2014-01-28 Coal-fired power station boiler intelligent ash blowing closed loop control method, device and system CN103759277B (en)

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