CN110232497A - A kind of coal mixing combustion intelligent management and system - Google Patents
A kind of coal mixing combustion intelligent management and system Download PDFInfo
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Abstract
The present invention provides a kind of coal mixing combustion intelligent management and system, and wherein method includes obtaining coal blending data and also comprising the steps of: to establish coal blending rule base, constructs coal mixing combustion model；Optimum coal mixture scheme scheme is obtained using the optimal resolving Algorithm of coal blending according to objective function；The optimum coal mixture scheme scheme is finely tuned according to real time data；Optimum coal mixture scheme scheme described in automatic implementation, and obtain the burning real time data in the optimum coal mixture scheme scheme implementation.A kind of coal mixing combustion intelligent management provided by the invention, using the multiple target Global Optimization Model in knowledge based library, with powerful generalization ability, it can be in the case where coal be complicated and changeable, it calculates the Coal Blending Schemes for being suitable for power plant and executes automatically, while based on the non-dominated sorted genetic algorithm for having elitism strategy, it can be when coal be various, it quickly calculates as a result, the waiting time that coal blending in any case calculates is less than 5s.
Description
Technical field
The present invention relates to the technical field of fuel management, especially a kind of coal mixing combustion intelligent management and system.
Background technique
Fuel cost is most important operating cost in thermal power plant or unit production and operation.Net coal consumption rate reflects fire
The efficiency of power power plant or unit is horizontal, is usually a metastable numerical value under the conditions of stable as-fired coal matter, restricted
Supply-demand relationship in coal market influences, and the fuel price difference purchased from different Coal Exploitations is the variable of a real-time fluctuations, makes
It obtains thermal power plant's operating cost under different coal-fired mixed-fuel burning proportions and very big difference occurs, this is also the root of thermal power plant coal mixing combustion
This motivation.
Currently, heat power plant boiler fits beyond boiler when coal quality according to corresponding design coal type selecting and burns range, it will
Very big influence is brought to safety, the economy of boiler.In recent years, because of the fluctuation of coal market, design coal supply is often not
It is able to satisfy boiler combustion demand, and deviates the increase of design coal coal supply amount with this, the effect of coal mixing combustion is obviously deteriorated,
Because of second-rate the phenomenon that causing combustion instability, generating set to reduce power output operation or even stopping accident Shi Youfa of coal blending
Raw, unit performance driving economy is affected with safety.Therefore, reasonable coal mixing combustion is carried out to as-fired coal kind, it can be effective
The coal-fired cost for reducing thermal power plant, has great importance to safe and stable, the economical operation of boiler.
According to coal dust firing mechanism, different types of coal are mixed match after, even if final coal qualities test result is consistent, but its combustion characteristics
It is entirely different.Thermal power plant relies primarily on tissue mixfiring test or fuel related management personnel during doing coal mixing combustion
Work proposal as judgement to carry out coal mixing combustion, it is difficult to true reflection equipment operation condition and personnel operate horizontal, lack
Data supporting.Many thermal power plants all have been set up coal blending burning optimization method, but method is all relatively simple, can not screen
Most suitable coal blending burning method out.
The application for a patent for invention of Publication No. CN107274027A discloses a kind of more coal coal mixing combustions of coal unit
Optimization method generates synthesis degree electricity cost mark post this method comprises: establishing coal mixing combustion database according to fuzzy control principle
Optimal coal mixing combustion scheme is found for the different operating conditions of setting in library, and realizing reduces power plant soot cost.This method is only
It only accounts for reducing coal-fired cost, not from problem from the point of view of unit economical operation and environmental protection.
Summary of the invention
To solve the above-mentioned problems, a kind of coal mixing combustion intelligent management provided by the invention, using knowledge based library
Multiple target Global Optimization Model, have powerful generalization ability, can in the case where coal is complicated and changeable, calculate be suitable for electricity
The Coal Blending Schemes of factory simultaneously execute automatically, while based on the non-dominated sorted genetic algorithm for having elitism strategy, can be numerous in coal
When more, quickly calculate as a result, the waiting time that coal blending in any case calculates is less than 5s.
The first object of the present invention is to propose a kind of coal mixing combustion intelligent management, including obtain coal blending data, also
It comprises the steps of:
Step 1: establishing coal blending rule base, construct coal mixing combustion model；
Step 2: optimum coal mixture scheme scheme is obtained using the optimal resolving Algorithm of coal blending according to objective function；
Step 3: the optimum coal mixture scheme scheme is finely tuned according to real time data；
Step 4: optimum coal mixture scheme scheme described in automatic implementation, and the burning obtained in the optimum coal mixture scheme scheme implementation is real-time
Data.
Preferably, the coal mixing combustion model includes 1 set containing p independent variable parameter, 1 containing K mesh
The set of scalar functions and a combination comprising L constraint condition, mathematical description are as follows:
Wherein, x is independent variable vector, y=y1+y2For object vector, y1In index be known as negative index, y2In index
Referred to as direct index, f (x) are that objective function is restrictive condition are as follows: g (x)=(g1(x), g2(x) ..., gL(x))≤0, g (x) is
Constraint condition, for limiting feasible zone.
It is preferably in the above scheme, under the frame of multiple-objection optimization mathematical model, multiple target blending models include
Basic parameter, constraint condition and objective function.
It is preferably in the above scheme, the basic parameter includes the calorific value Q of each single coali, volatile matter Vi, ash content Ai、
Moisture Mi, sulphur content Si, ash fusion point STi, grey composition, coal price Pi, boiler design parameter, load plan and equipment operating condition parameter
At least one of.
It is preferably in the above scheme, the constraint condition includes at least one of the following conditions:
Single coal ratio:
Calorific value: Q=fQ(Xi, Qi)≥QA,
Volatile matter: V=fV(Xi, Vi)≥VA,
Ash content: A=fA(Xi, Ai)≥AB,
Moisture: M=fM(Xi, Mi)≥MB,
Sulphur content: S=fS(Xi, Si)≥SB,
Ash fusion point: ST >=STA,
Wherein, Xi indicates the ratio of i-th kind of single coal, and subscript A indicates that the lower bound of index, subscript B indicate the upper bound of index.
It is preferably in the above scheme, with the objective function of Multicriteria fuzzy decision-making method building coal blending, item
Part is as follows:
1) all m kind Coal Blending Schemes for meeting constraint condition constitute scheme collection U, U={ u1, u2, u3..., un}；
2) the alternative collection V of objective function constituent element index all in coal blending0, V0={ P, RS, RW, RJ, RZ, SO2... },
In formula, P indicates coal price, RSIndicate ignition quality, RWIndicate fire behaviour, RJIndicate burnout characteristic, RZIndicate Slagging Characteristics, SO2
Indicate SO2Emission performance；
3) according to the actual situation in V0N objective function constituent element indicator vector f of middle selection；
4) each index is normalized to eliminate the influence of dimension, obtains the corresponding normalization factor mark sense of every kind of scheme
Measure rj,
5) the normalization factor indicator vector of each scheme is multiplied with weight vectors, that is, constructs the objective function Z of coal blending,
Z=min (arj)。
It is preferably in the above scheme, the coal blending burning model includes coal mixing combustion decision rule library, is used for basis
Suitable coal quality type is judged to the data analysis result of burning overall process, is mixed according to difference and is mixed with rule generation fire coal
With scheme.
It is preferably in the above scheme, described mix with rule includes that safe mix is mixed with rule, environmental protection with rule and economy
It mixes at least one of rule.
It is preferably in the above scheme, the safety, which is mixed, to be referred to rule and worked as according to coal mixing combustion historical data and coal yard
Before deposit coal situation, carry out that safety is optimal to mix with calculated result, Coal Blending Schemes recommended to be ranked up from high to low according to safety.
It is preferably in the above scheme, the safety, which is mixed, to be referred to rule in design coal, guarantees the main of boiler
Operating parameter, performance data, heated face structure form and arrangement reach the design standard of boiler.
It is preferably in the above scheme, the environmental protection, which is mixed, to be referred to rule and worked as according to coal mixing combustion historical data and coal yard
Before deposit coal situation, under the premise of guaranteeing Boiler Stable Combustion, carry out that environmental protection is optimal to mix with calculated result, Coal Blending Schemes recommended to press
It is ranked up from high to low according to environmentally friendly degree.
It is preferably in the above scheme, the environmental protection, which is mixed, to be referred to rule when choosing coal, ash content in selection fire coal
With the lower coal of sulfur content.
It is preferably in the above scheme, the economy, which is mixed, to be referred to rule and worked as according to coal mixing combustion historical data and coal yard
Before deposit coal situation, under the premise of guaranteeing Boiler Stable Combustion, carry out Optimum cost and mix with calculated result, Coal Blending Schemes is recommended to press
At cost it is ranked up from low to high.
It is preferably in the above scheme, the economy, which is mixed, to be referred to rule when choosing coal, sexual valence in selection fire coal
Relatively high coal.
The second object of the present invention is to propose a kind of coal mixing combustion intelligent management system, including be used to obtain coal blending data
Data acquisition module, also comprising with lower module:
Model construction module: for establishing coal blending rule base, coal mixing combustion model is constructed；
Scheme forms module: for obtaining optimum coal mixture scheme scheme using the optimal resolving Algorithm of coal blending according to objective function；
Scheme optimization module: for finely tuning the optimum coal mixture scheme scheme according to real time data；
Scheme implements module: for optimum coal mixture scheme scheme described in automatic implementation, and obtaining the optimum coal mixture scheme scheme and implements
In burning real time data.
Preferably, the coal mixing combustion model includes 1 set containing p independent variable parameter, 1 containing K mesh
The set of scalar functions and a combination comprising L constraint condition, mathematical description are as follows:
Wherein, x is independent variable vector, y=y1+y2For object vector, y1In index be known as negative index, y2In index
Referred to as direct index, f (x) are objective function, are restrictive condition are as follows: g (x)=(g1(x), g2(x) ..., gL(x))≤0, g (x) is
Constraint condition, for limiting feasible zone.
It is preferably in the above scheme, under the frame of multiple-objection optimization mathematical model, multiple target blending models include
Basic parameter, constraint condition and objective function.
It is preferably in the above scheme, the basic parameter includes the calorific value Q of each single coali, volatile matter Vi, ash content Ai、
Moisture Mi, sulphur content Si, ash fusion point STi, grey composition, coal price Pi, boiler design parameter, load plan and equipment operating condition parameter
At least one of.
It is preferably in the above scheme, the constraint condition includes at least one of the following conditions:
Single coal ratio:
Calorific value: Q=fQ(Xi, Qi)≥QA,
Volatile matter: V=fV(Xi, Vi)≥VA,
Ash content: A=fA(Xi, Ai)≥AB,
Moisture: M=fM(Xi, Mi)≥MB,
Sulphur content: 5=fS(Xi, Si)≥SB,
Ash fusion point: ST >=STA,
Wherein, Xi indicates the ratio of i-th kind of single coal, and subscript A indicates that the lower bound of index, subscript B indicate the upper bound of index.
It is preferably in the above scheme, with the objective function of Multicriteria fuzzy decision-making method building coal blending, item
Part is as follows:
1) all m kind Coal Blending Schemes for meeting constraint condition constitute scheme collection U, U={ u1, u2, u3..., un}；
2) the alternative collection V of objective function constituent element index all in coal blending0, V0={ P, RS, RW, RJ, RZ, SO2... },
In formula, P indicates coal price, RSIndicate ignition quality, RWIndicate fire behaviour, RJIndicate burnout characteristic, RZIndicate Slagging Characteristics, SO2
Indicate SO2Emission performance；
3) according to the actual situation in V0N objective function constituent element indicator vector f of middle selection；
4) each index is normalized to eliminate the influence of dimension, obtains the corresponding normalization factor mark sense of every kind of scheme
Measure rj,
5) the normalization factor indicator vector of each scheme is multiplied with weight vectors, that is, constructs the objective function Z of coal blending,
Z=min (arj)。
It is preferably in the above scheme, the coal blending burning model includes coal mixing combustion decision rule library, is used for basis
Suitable coal quality type is judged to the data analysis result of burning overall process, is mixed according to difference and is mixed with rule generation fire coal
With scheme.
It is preferably in the above scheme, described mix with rule includes that safe mix is mixed with rule, environmental protection with rule and economy
It mixes at least one of rule.
It is preferably in the above scheme, the safety, which is mixed, to be referred to rule and worked as according to coal mixing combustion historical data and coal yard
Before deposit coal situation, carry out that safety is optimal to mix with calculated result, Coal Blending Schemes recommended to be ranked up from high to low according to safety.
It is preferably in the above scheme, the safety, which is mixed, to be referred to rule in design coal, guarantees the main of boiler
Operating parameter, performance data, heated face structure form and arrangement reach the design standard of boiler.
It is preferably in the above scheme, the environmental protection, which is mixed, to be referred to rule and worked as according to coal mixing combustion historical data and coal yard
Before deposit coal situation, under the premise of guaranteeing Boiler Stable Combustion, carry out that environmental protection is optimal to mix with calculated result, Coal Blending Schemes recommended to press
It is ranked up from high to low according to environmentally friendly degree.
It is preferably in the above scheme, the environmental protection, which is mixed, to be referred to rule when choosing coal, ash content in selection fire coal
With the lower coal of sulfur content.
It is preferably in the above scheme, the economy, which is mixed, to be referred to rule and worked as according to coal mixing combustion historical data and coal yard
Before deposit coal situation, under the premise of guaranteeing Boiler Stable Combustion, carry out Optimum cost and mix with calculated result, Coal Blending Schemes is recommended to press
At cost it is ranked up from low to high.
It is preferably in the above scheme, the economy, which is mixed, to be referred to rule when choosing coal, sexual valence in selection fire coal
Relatively high coal.
It is preferably, according to the system automatically generated coal-fired PM10 scheme, coal piling location information, sets in the above scheme
Standby status information automatically selects coal routing, formulates job instruction, and job instruction is assigned program-controlled layer, realizes coal mixing combustion
Automatic execution.
The present invention provides a kind of coal mixing combustion intelligent management and systems, optimize mould according to decision system coal mixing combustion
Type, comprehensive boiler design parameter come coal information, generation schedule, power load distributing, coal yard inventory, coal-fired cost, coal mixing combustion feedback
The factors such as evaluation, equipment operating condition generate the comprehensive optimal coal mixing combustion scheme of safety, economy, environmental protection index, and realize and match
Coal is mixed burning scheme and is executed automatically.
Detailed description of the invention
Fig. 1 is the flow chart of a preferred embodiment of coal mixing combustion intelligent management according to the invention.
Fig. 2 is the module map of a preferred embodiment of coal mixing combustion intelligent management system according to the invention.
Fig. 3 is the intelligent blending models of another preferred embodiment of coal mixing combustion intelligent management system according to the invention
Figure.
Fig. 4 is the coal blending boundary condition of the embodiment as shown in Figure 3 of coal mixing combustion intelligent management system according to the invention
Schematic diagram is set.
Fig. 5 is the sigmoid function point of the embodiment as shown in Figure 3 of coal mixing combustion intelligent management system according to the invention
Butut.
Fig. 6 is the coal blending priority item of the embodiment as shown in Figure 3 of coal mixing combustion intelligent management system according to the invention
Schematic diagram is arranged in part.
Fig. 7 is the intelligent coal blending result of the embodiment as shown in Figure 3 of coal mixing combustion intelligent management system according to the invention
Schematic diagram.
Fig. 8 is that the embodiment as shown in Figure 3 of coal mixing combustion intelligent management system according to the invention takes coal Distribution Warehouse operation
Monitoring module schematic diagram.
Fig. 9 is that the run coal bin dynamic of the embodiment as shown in Figure 3 of coal mixing combustion intelligent management system according to the invention is supervised
Depending on schematic diagram.
Figure 10 is that the further embodiment of coal mixing combustion intelligent management system according to the invention is mixed with taking coal module
Schematic diagram.
Specific embodiment
Embodiment 1
As shown in Figure 1 and Figure 2, step 100 is executed, model construction module 200 establishes coal blending rule base, constructs coal mixing combustion
Model coal mixing combustion model includes 1 set containing p independent variable parameter, 1 set containing K objective function and one
Combination comprising L constraint condition, mathematical description are as follows: Wherein, x is independent variable vector, y=y1+y2For object vector, y1In index be known as negative index, y2In index be known as just
Index, f (x) are objective function, are restrictive condition are as follows: g (x)=(g1(x), g2(x) ..., gL(x))≤0, g (x) is constraint item
Part, for limiting feasible zone.Under the frame of multiple-objection optimization mathematical model, multiple target blending models include basic parameter, about
Beam condition and objective function.Basic parameter includes the calorific value Q of each single coali, volatile matter Vi, ash content Ai, moisture Mi, sulphur content Si, ash
Fusing point STi, grey composition, coal price Pi, boiler design parameter, at least one of load plan and equipment operating condition parameter.Constraint
Condition includes at least one of the following conditions: single coal ratio:Calorific value: Q=fQ(Xi, Qi)≥QA,
Volatile matter: V=fV(Xi, Vi)≥VA, ash content: A=fA(Xi, Ai)≥AB, moisture: M=fM(Xi, Mi)≥MB, sulphur content: S=fS(Xi,
Si)≥SB, ash fusion point: ST >=STA, wherein Xi indicates the ratio of i-th kind of single coal, and subscript A indicates the lower bound of index, subscript B table
Show the upper bound of index.With the objective function of Multicriteria fuzzy decision-making method building coal blending, condition is as follows: 1) all satisfactions
The m kind Coal Blending Schemes of constraint condition constitute scheme collection U, U={ u1, u2, u3..., un}；2) objective function structure all in coal blending
At the alternative collection V of factor index0, V0={ P, RS, RW, RJ, RZ, SO2... }, in formula, P indicates coal price, RSIndicate ignition quality, RW
Indicate fire behaviour, RJIndicate burnout characteristic, RZIndicate Slagging Characteristics, SO2Indicate SO2Emission performance；3) exist according to the actual situation
V0N objective function constituent element indicator vector f of middle selection；4) each index is normalized to eliminate the influence of dimension, is obtained
The corresponding normalization factor indicator vector r of every kind of schemej,5) by the normalization factor mark sense of each scheme
Amount is multiplied with weight vectors, that is, constructs objective function Z, the Z=min (ar of coal blendingj).Coal blending burning model includes that coal blending is mixed
Decision rule library is burnt, for judging suitable coal quality type according to the data analysis result to burning overall process, according to difference
It mixes with rule generation coal-fired PM10 scheme.It mixes to mix to mix with rule, environmental protection including safety with rule and mixes and match with regular and economy
At least one of rule.Safety, which is mixed, to be referred to rule and currently deposits coal situation according to coal mixing combustion historical data and coal yard, is pacified
Full property is optimal to mix with calculated result, recommends Coal Blending Schemes to be ranked up from high to low according to safety, mixes refer to rule safely
In design coal, guarantee that primary operating parameter, performance data, heated face structure form and the arrangement of boiler reach setting for boiler
Meter standard.Environmental protection, which is mixed, to be referred to rule and currently deposits coal situation according to coal mixing combustion historical data and coal yard, is guaranteeing that boiler stablizes
Under the premise of burning, progress environmental protection is optimal to mix with calculated result, and Coal Blending Schemes is recommended to be arranged from high to low according to environmentally friendly degree
Sequence, environmental protection, which is mixed, to be referred to rule when choosing coal, ash content and the lower coal of sulfur content in selection fire coal.Economy is mixed with rule
Refer to and coal situation currently deposited according to coal mixing combustion historical data and coal yard, under the premise of guaranteeing Boiler Stable Combustion, carry out at
This is optimal to mix with calculated result, and Coal Blending Schemes is recommended on cost to be ranked up from low to high, and economy, which is mixed, to be referred to rule and selecting
When taking coal, the relatively high coal of sexual valence in selection fire coal.
Step 110 is executed, data acquisition module 210 obtains coal blending data.Step 120 is executed, scheme forms module 220
Optimum coal mixture scheme scheme is obtained using the optimal resolving Algorithm of coal blending according to objective function.Execute step 130,230 basis of scheme optimization module
The real time data finely tunes the optimum coal mixture scheme scheme.Step 140 is executed, scheme is implemented best described in 240 automatic implementation of module
Coal Blending Schemes, and obtain the burning real time data in the scheme implementation.
According to the system automatically generated coal-fired PM10 scheme above, coal piling location information, device status information, automatically
Coal routes in selection, formulates job instruction, and job instruction is assigned program-controlled layer, realizes the automatic execution of coal mixing combustion.
Embodiment 2
A kind of coal mixing combustion intelligent management system provided by the invention by the coal mixing combustion decision model established, is
System process library, coal blending rule base, deposit coal multidate information, coal to the received equipment level perceptual signal of intelligent management system, coal yard
The external interactive information such as matter information, boiler combustion demand information and preset process library integrated, operation, according to coal-fired island
Intelligent management demand automatically generates the program-controlled operation scheme in coal-fired island and (carrys out coal to unload stockpiling scheme, coal mixing combustion scheme, sampling plan
Deng), early warning information, the decisions, analysis instruction such as item assessment report, and by the program-controlled layer of instruction issuing, to realize coal blending
Mix the intelligence control of burning.
According to electric power secondary system security protection zoning requirements, at present FAM system, SIS system, fuel management system deployment
In safety zone III production management area；Coal-fired stored program controlled, stacker-reclaimer automation unattended system, tippler automatically control
System etc. is located at safety zone I real time control area；The data of safety zone I real time control area are transmitted to by positive isolated device
Safety zone III production management area；In conjunction with the existing security partitioning situation of power plant and electric power secondary system security protection zoning requirements, combustion
Coal island software decision-making platform decision central server can deployment secure area III, system read FAM system, SIS system, cartridge
The data of reason system, coal-fired stored program controlled are reached coal-fired stored program controlled data certainly by the station OPC and positive isolated device
Plan server, policy server are sent instruction to coal-fired stored program controlled by reversed isolated device.
The system receives production requirement forecast information, sets into coal plan and to coal forecast, coal yard coal piling data, coal handling system
Standby situation, operational model takes coal rule, coal handling system process flow according to input value and coal yard, in conjunction with circular coal yard fan-shaped region
Layering deposits coal or the characteristics of coal is deposited in bar shaped coal yard subregion, by linear programming, Non-Linear Programming, according to the practical feelings of coal bin coal position
Condition calculates the defeated coal routing for selecting optimal feeding routing and being delivered to suitable coal bunker using optimum seeking method, ultimately produces and takes coal operation
Scheme.It mixes with taking in coal scheme implementation procedure as needed to change for some reason, mixes with taking the coal module will to provide new optimization according to selection
Scheme.
Coal mixing combustion intelligent decision system, according to decision system coal mixing combustion Optimized model, comprehensive boiler design parameter comes
Coal information, generation schedule, power load distributing, coal yard inventory, coal-fired cost, coal mixing combustion Feedback Evaluation, equipment operating condition etc. because
Element generates the comprehensive optimal coal mixing combustion scheme of safety, economy, environmental protection index.
Coal mixing combustion intelligent decision system is mainly by intelligently taking coal Distribution Warehouse operation scheme, coal Distribution Warehouse being taken to execute workflow management mould
Block, the monitoring of run coal bin dynamic, coal mixing combustion assessment feedback, as-fired coal on-line monitoring, coal mixing combustion equipment monitoring and intelligent diagnostics
The modules such as module composition.
One, coal mixing combustion model
As shown in figure 3, intelligent coal mixing combustion is one of core function of system, blending models are more using knowledge based library
Target Global Optimization Model, knowledge base contain coal combustion National Key Laboratory over more than 10 years to China and external a large amount of coals
Characterization Data library, have powerful generalization ability, can in the case where coal is complicated and changeable, calculate be suitable for power plant
Coal Blending Schemes.The non-dominated sorted genetic algorithm with elitism strategy that model is put forward for the first time based on us simultaneously, can be in coal
When kind is various, quickly calculate as a result, the waiting time that coal blending in any case calculates is less than 5s.
1, coal blending decision domain model
The abstract model of blending models can be regarded as a multi-objective optimization question, and multi-objective optimization question generally includes one
A set containing p parameter (independent variable), a set comprising K objective function and one include L constraint condition
Set, mathematical description are as follows:
Subject to:g (x)=(g1(x), g2(x) ..., gL(x))≤0
Wherein, x is independent variable vector, y=y1+y2For object vector, y1In index be known as negative index, y2In index
Referred to as direct index, g (x) is constraint condition, for limiting feasible zone.
Input parameter in coal blending includes coal quality fundamental characteristics, mainly Industrial Analysis, grey composition and coal price, these inputs
Parameter is simultaneously also as a part of constraint condition.Herein by burning of coal characteristic and coal price together as objective function, building
One alternative objective function collection.
Ignition quality, the storage capacity of coal and the grindability problem of coal of coal are also contemplated that in power plant's practical application, by coal
Ignition quality and reserves problem be placed on objective function respectively as a negative index and a direct index and concentrate, and because in electricity
Factory is difficult to obtain the data of grindability index, so ignoring the influence of grindability index here.
Under the frame of multiple-objection optimization mathematical model, multiple target blending models are described as follows:
1.1, basic parameter:
Calorific value (the Q of each list coali), volatile matter (Vi), ash content (Ai), moisture (Mi), sulphur content (Si), ash fusion point (STi), ash
Composition and coal price (Pi).
1.2, constraint condition:
Single coal ratio:
Calorific value: Q=fQ(Xi, Qi)≥QA,
Volatile matter: V=fV(Xi, Vi)≥VA,
Ash content: A=fA(Xi, Ai)≥AB,
Moisture: M=fM(Xi, Mi)≥MB,
Sulphur content: S=fS(Xi, Si)≥SB,
Ash fusion point: ST >=STA,
Wherein, Xi indicates the ratio of i-th kind of single coal, and subscript A indicates that the lower bound of index, subscript B indicate the upper bound of index.
1.3, objective function:
Objective function with Multicriteria fuzzy decision-making method building coal blending is as follows:
(1) all m kind Coal Blending Schemes for meeting constraint condition constitute scheme collection U
U={ u1, u2, u3..., un}
(2) the alternative collection V of objective function constituent element index all in coal blending0
V0={ P, RS, RW, RJ, RZ, SO2... }
In formula, P, RS, RW, RJ, RZ, SO2Respectively indicate coal price, ignition quality, fire behaviour, burnout characteristic, Slagging Characteristics
And SO2Emission performance.It in practical applications can also be according to dynamically adding or deleting other targets.
(3) by the operator of coal blending according to the actual situation in V0N objective function constituent element indicator vector of middle selection
f。
It is assumed that choosing coal price, ignition quality and SO2Discharge these three targets, three targets are negative index, i.e. pursuit mesh
Mark is minimum.Factor index vector are as follows:
F={ P, RSSO2}
And the factor weight of each index is provided, constitute weight vectors a
A={ a1, a2, a3}
(4) each index is normalized to eliminate the influence of dimension, obtains the corresponding normalization factor index of every kind of scheme
Vector rj,
(5) the normalization factor indicator vector of each scheme is multiplied with weight vectors, that is, constructs the objective function Z of coal blending
Z=min (arj)
In system realization, it should determine that coal yard may participate in the single coal and its coal quality of coal blending first, be calculated according to constraint condition
Then the set of all feasible solutions, i.e. decision domain out construct suitable objective function, utilize optimizing algorithm according to objective function
Search for optimum coal mixture scheme scheme.
The optimal resolving Algorithm of 1.4 coal blendings
1.4.1 safe optimizing algorithm
Boiler is designed according to design coal, is the used coal in design, boiler factory is according to this coal
Carry out the Preliminary design and thermodynamic computing of boiler；Determine the primary operating parameter of boiler, performance data, heated face structure form and
Arrangement.Under design coal, each performance indicator is possible to the design standard for reaching boiler, also only under design coal,
It is the safest method of operation.When being ranked up with rule to coal blending result with mixing safely, the target of Model for Multi-Objective Optimization
Function is the coal quality close to design coal, it may be assumed that
F={ Q, V, A, M, S, ST }
It mixes when coal mixing combustion model according to safety and is calculated with rule, the disaggregation obtained is ranked up, as foundation
Safety is from high to low to the sequence of Coal Blending Schemes.
1.4.2 environmentally friendly optimizing algorithm
With the continuous promotion of environmental requirement, the environmental issue faced when using economic coal is on the rise, economic coal,
Especially sulphur coal is for SO2The influence of discharge is very big.In addition, the ash content in fire coal also have for the discharge of dust it is important
It influences.
When with environmental protection mix with rule coal blending result is ranked up when, the objective function of Model for Multi-Objective Optimization is so that matching
The sulphur content and ash content of coal result are minimum, it may be assumed that
F={ A, S }
It mixes when coal mixing combustion model according to environmental protection and is calculated with rule, the disaggregation obtained is ranked up, as foundation
The feature of environmental protection is from high to low to the sequence of Coal Blending Schemes.
Due to NO in dischargexWith the nitrogen content in fuel without the relationship of direct correlation, therefore the nitrogen content in fire coal can not be made
For to NOxObjective function.Control NOxDischarge realized by means such as runing adjustment, SCR.
1.4.3 economy optimizing algorithm
Coal mixing combustion is that power plant reduces fuel cost, the effective means increased economic efficiency.In Coal Blending Schemes, coal price for
Cost has strong influence；In addition, deviateing design coal to the operating condition of boiler, as boiler efficiency, station service power consumption rate also have
Significant impact.
When mixed with economy coal blending result is ranked up with rule when, the objective function of Model for Multi-Objective Optimization is mark coal
Monovalent minimum, coal quality is closest to design coal, it may be assumed that
F={ Q, V, A, M, S, ST, P }
It mixes when coal mixing combustion model according to economy and is calculated with rule, the disaggregation obtained is ranked up, as foundation
Economy is from high to low to the sequence of Coal Blending Schemes.
Two, coal blending rule setting
Theoretically, boundary, that is, boiler of coal blending is to the adaptability condition of coal, and the boiler of different manufacturers is for boiler
Adaptability is discrepant, meanwhile, with the transformation of boiler, subsidiary engine and environmental protection equipment, the adaptability of coal can also occur centainly
Variation.The system of coal quality boundary condition in to(for) mixed coal can be configured, further, it is also possible to the power of different coals quality
It is configured again.
System provides flexible boundary condition and is arranged function, and user can be arranged according to different load section different mixes cobordant
Boundary, the user with permission can increase a boundary condition newly at any time, and progress is customized, as shown in Figure 4.
In addition, in some special cases (spontaneous combustion, equipment fault, interim guarantor's electricity, the interim row of guarantor occur for such as coal yard), use
Family can in systems carry out specific coal mixing burning setting, limit certain coals and necessarily participate in and mix burning or do not allow to participate in mix burning,
After setting, system will be paid the utmost attention to.As shown in Figure 5.
Three, intelligence takes coal Distribution Warehouse operation scheme
The above intelligence blending models are theoretical coal blending frame model, in practical applications, also need the operation in conjunction with power plant
Feature formulates special rule, such as: consider weather, equipment fault factor, the coal that field is deposited by fuel production portion daily into
Row state-maintenance, certain coals can be set as preferentially mixing match or do not mix with etc., coal blending program will be counted in conjunction with these settings
Calculate optimal Coal Blending Schemes；It is calculated in real time according to clearing (or temporarily estimating) price change into the comprehensive mark coal unit price of furnace, and provided optimal
Mix burning scheme, wherein price data need to be obtained by manually carrying out maintenance or by other systems interface.
Preview (as shown in Figure 6) is carried out to Coal Blending Schemes, including Distribution Warehouse scheme (amount, matter take coal position, execute the period),
Coal scheme (taken amount, spatial position, executes time, sequence at quality) is taken, state simulation is executed, predicts Coal Blending Schemes practice condition.
System will be mixed uses the mode of virtual upper coal to show with the upper coal scheme formulated in scheme, including coal quality and unit price and it is expected that consumption
Time.
Predict Coal Blending Schemes practice condition.System will take the upper coal scheme formulated in the coal Distribution Warehouse scheme side of virtual upper coal
Formula shows, including coal quality and unit price and it is expected that elapsed time.Final mix does dispatcher by combustion pipe with scheme and is responsible for audit,
For be unsatisfactory for producing in factory it is actual can manual amendment.False alarm can be carried out to execution process in time.
Four, coal Distribution Warehouse job monitoring module is taken
As shown in fig. 7, stacker-reclaimer, feeder, belt conveyor and its auxiliary device monitor in real time according to field working conditions.
Major requirement is as follows:
(1) related coal handling system, unattended stacker-reclaimer control picture are identical with live view.
(2) state and parameter of real-time display field device, and 2 years historical datas can be transferred, it includes at least: acquisition skin
The electromechanical machine vibration of band and speed reducer temperature data；Acquire coal breaker bear vibration and temperature data.
Five, run coal bin dynamic surveillance
As shown in figure 8, system indicates each coal bunker with two-dimensional dynamic chart, when operating fuel personnel are according to system
Feeding arrangement is by, to after run coal bin, system can identify the coal in each coal bunker, while be associated with intellectualizing system coal yard on coal
Module obtains run coal bin into coal coal and coal quality information.The coaly state real time reaction of depositing of each run coal bin is arrived based on information above
In system, the coal quality (calorific value, volatile matter, sulphur content) in remaining coal amount and run coal bin for going up coal including every kind in each run coal bin, with
And the time (hour) that the coal of different coals quality can consume under feeder.
By run coal bin level detector storage in acquisition system, enter furnace weighing belt individual metering run coal bin coal input quantity, feeder
Belt scale metering run coal bin output calculates coal amount on each layer of run coal bin, while being associated with intellectualizing system coal yard module, obtains former
Coal bunker is into coal coal and coal quality information.Each run coal bin is deposited into coaly state real time reaction into system based on information above, including
Every kind of remaining coal amount for going up coal and the coal quality (calorific value, volatile matter, sulphur content) in run coal bin in each run coal bin, and different coals quality
The time (hour) that coal can consume under feeder.When there are when a variety of coals, being carried out between the interface coal in coal bunker
Monitoring is realized that run coal bin coal amount state is (higher or relatively low) and is reminded.Boiler operatiopn personnel apply real-time coal bunker function, can be intuitive
Coal amount, the coal quality (calorific value, volatile matter, sulphur content) in current coal bunker are grasped, in order to fire in time according to unit load and boiler
It burns situation and adjusts combustion system in advance, reach safety, economically burn.
When coal changes, system will also provide prompt, by run coal bin level detector storage in acquisition system, enter furnace
Weighing belt individual metering run coal bin coal input quantity, belt conveyer scale of coal feeder measure run coal bin output, calculate coal amount on each layer of run coal bin.
Six, coal mixing combustion history library
As shown in figure 9, system by burning mix with rule base, model library, database to coal mixing combustion scheme carry out it is adaptive
Should assess and adjust, establish coal mixing combustion history library so that coal mixing combustion scheme gradually tend to accurately, complete unit generation amount with
The Dynamic Matching of coal-fired information, realization science are mixed burning and are required.Meanwhile system will comment online the actual effect for mixing burning
Valence, and comprehensively consider economy and the feature of environmental protection generates outstanding case, these outstanding cases will be stored in system knowledge base,
For instructing later coal blending to work.
Embodiment 3
Coal mixing combustion management system is accurately calculated by fuel coal mixing combustion, lean is implemented, precision management, comprehensive intelligent
It mixes with Optimized model, boiler design parameter, come coal information, generation schedule, power load distributing, coal yard inventory, history history coal mixing combustion
The factors such as evaluation, equipment operating condition, generate safety, economy, environmental protection index it is comprehensive it is optimal mix with scheme, and guide fire coal to adopt
Purchase improves the tenability to production and management decision-making.Coal mixing combustion module mainly takes coal rule base, coal mixing combustion rule by coal yard
The modules compositions such as library, the monitoring of run coal bin dynamic, coal blending workflow management, burning assessment feedback, coal handling system process flow library.
Coal-fired intelligence mix match system according to production requirement forecast information, into coal plan and to coal forecast, coal yard coal piling data,
Coal handling system status of equipment is mixed by intelligence with the defeated coal for taking coal module that optimal feeding is selected to route and be delivered to suitable coal bunker
Routing, ultimately produces coal blending operation scheme.Periodically related data is carried out in real time or with predetermined scheme compareing assessment, proposes optimization
Strategy constantly improve intelligent cental system model.
1, coal mixing combustion decision rule library
It according to storage equilibrium, deposits the foundation of the principles such as the equilibrium of coal coal quality, coal quality close stacked adjacent and unloads and expect rule base, realize
Fire coal is unloaded the automatically generating of job order, and is established fire coal according to information such as the existing situation of coal yard and power generation needs and is mixed burning solution bank,
Realization system requires to provide automatically according to different characteristics mixes burning scheme.
System deposits coal situation according to coal yard is practical, and calculating mixes the various parameters with result and automatically forms optimal coal blending side
Case, user can manual modification Coal Blending Schemes.System records practical coal blending situation, can be given birth to automatically by system interface data
Simulation drawing is executed at Coal Blending Schemes.
System is mixed according to the difference that user selects and is mixed with rule generation with scheme, and Coal Blending Schemes content includes the matter after coal blending
Amount, coal index, mark coal unit price, raw coal is monovalent, takes the information such as the weight of coal from different coal yards, region.Constantly verifying is each simultaneously
Coal mixing combustion scheme under item boundary condition, forms coal mixing combustion scheme base.Offer is mixed as follows with rule:
1) safety is mixed with rule
Coal situation is currently deposited according to coal mixing combustion historical data and coal yard, carries out that safety is optimal to mix with calculated result, is pushed away
It recommends Coal Blending Schemes and is ranked up from high to low according to safety.
2) environmental protection is mixed with rule
Coal situation is currently deposited according to coal mixing combustion historical data and coal yard, under the premise of guaranteeing Boiler Stable Combustion, into
Row environmental protection is optimal to mix with calculated result, and Coal Blending Schemes is recommended to be ranked up from high to low according to environmentally friendly degree.
3) economy is mixed with rule
Coal situation is currently deposited according to coal mixing combustion historical data and coal yard, under the premise of guaranteeing Boiler Stable Combustion, into
Row Optimum cost is mixed with calculated result, and Coal Blending Schemes is recommended on cost to be ranked up from low to high.
2, coal mixing combustion scheme determines
1) load plan management
Acquisition net, which is adjusted, daily issues plan electricity, generates prediction daily load curve, instructs coal mixing combustion.
2) coal mixing combustion basic principle and thinking
Science, the coal-fired consumption information management system of closed loop are established, to mix the coal-fired buying of sintering fruit guidance, boiler combustion.
Coal mixing combustion will judge suitable coal quality type according to the data analysis result to burning overall process, according to economic benefit and mix
With cost, formation is mixed with target.It mixes with management principle: the items such as coal, load plan, unit operating condition, equipment state is deposited according to coal yard
Part sequentially forms Distribution Warehouse scheme, takes coal scheme, to coal scheme, and to mix with scheme executive condition monitored in real time defeated coal, on
Storehouse to coal, environment protection emission and carries out data analysis, continues to optimize management process.For in different load and operating parameter condition
Under, issue reasonable Coal Blending Schemes.
3) it is analyzed in historical combustion data and determines target coal quality
According to optimizing model, the burning record for meeting constraint condition all in history (optional history section) data is found out,
Seek the target value for meeting condition, including the core datas such as coal quality coal amount and operating condition.First is that the coal quality coal amount that the corresponding period is total；Two
It is upper storehouse coal quality coal amount needed for each run coal bin of corresponding period；Third is that coal yard takes coal coal quality coal amount position and sequence.
3, coal yard intelligently takes coal Distribution Warehouse module
1) it mixes to match and takes coal functions of modules
The module receives production requirement forecast information, sets into coal plan and to coal forecast, coal yard coal piling data, coal handling system
Standby situation, operational model takes coal rule, coal handling system process flow according to input value and coal yard, in conjunction with circular coal yard fan-shaped region
Layering deposits coal or the characteristics of coal is deposited in bar shaped coal yard subregion, by linear programming, Non-Linear Programming, according to the practical feelings of coal bin coal position
Condition calculates the defeated coal routing for selecting optimal feeding routing and being delivered to suitable coal bunker using optimum seeking method, ultimately produces and takes coal operation
Scheme.It mixes with taking in coal scheme implementation procedure as needed to change for some reason, mixes with taking the coal module will to provide new optimization according to selection
Scheme.Mixing for Laizhou company considers that the method for mixing burning high-sulfur coal improves mixing for sulphur coal by accurately mixing with scheme with scheme
Burning amount, reduces coal price to the greatest extent.Thermal power plant takes coal scheme to propose different types of coal from coal yard, divides coal on storehouse, realizes different coals
Kind enters different coal bunkers, mixes and matches after realization coal bunker.It is analyzed by depositing coal situation to coal yard, calculates target Coal Blending Schemes, from
Dynamic to be formed based on the Coal Blending Schemes with rule compositor are mixed, scheme executes after related personnel determines.It mixes to match and takes coal module principle such as
Shown in Figure 10.
2) heap reclaiming technology library
Heap reclaiming technology library will be established according to the technique expert system for having the building of operating personnel's operation experience, technique expert
System will mainly cover heap feeding layers apart strategy, and operation technique path measures of effectiveness and job instruction convert, to realize operation work
The unmanned offer support of skill.
3) Coal Blending Schemes preview
Preview, including Distribution Warehouse scheme (amount, matter take coal position, execute the period) are carried out to Coal Blending Schemes, coal scheme is taken (to take
Amount, spatial position, executes time, sequence at quality), state simulation is executed, Coal Blending Schemes practice condition is predicted.System, which will mix, matches
The upper coal scheme formulated in scheme is showed with the mode of virtual upper coal, including coal quality and unit price and it is expected that elapsed time.
4, run coal bin dynamic surveillance
Coal blending process is carried out in run coal bin, coal yard, by run coal bin level detector storage in acquisition system, enters furnace weighing belt point
Run coal bin coal input quantity is measured in storehouse, belt conveyer scale of coal feeder measures run coal bin output, calculates each layer of run coal bin of upper coal amount, closes simultaneously
Join intellectualizing system coal yard module, as-fired coal matter online data, obtains run coal bin into coal coal and coal quality information.Based on the above letter
Each run coal bin is deposited coaly state real time reaction into system by breath, remaining coal amount and raw coal including every kind in each run coal bin upper coal
Coal quality (calorific value, volatile matter, sulphur content) in storehouse, and the time (hour) that can be consumed under feeder of coal of different coal quality.
When, there are when a variety of coals, being monitored between the interface coal in coal bunker, realize that run coal bin coal amount state is (higher or inclined
It is low) it reminds.Boiler operatiopn personnel apply real-time coal bunker function, can intuitively grasp coal amount in current coal bunker, coal quality (calorific value,
Volatile matter, sulphur content), in order to adjust combustion system in advance according to unit load and boiler combustion situation in time, reach safety,
Economically burn.
5, coal blending executes flow monitoring
Coal blending upper storehouse coal amount calculates automatically: according to the device systems status signal such as coal handling system feeder, threeway, coal plough
Logic calculation is carried out, realizes that stacker-reclaimer, belted electronic balance, feeder, threeway, coal plough are chain, realizes that heap takes coal position, coal
Amount, upper coal target obtain and record, automatic report generation automatically.
Heap takes coal to monitor: passing through upper coal weighing belt data and carries out the calculating analysis of real-time coal amount, the results are shown in intelligence
It can the relevant simulation drawing of coal yard.
Equipment working condition automatically updates: stacker-reclaimer, feeder, belt conveyor and its auxiliary device according to field working conditions from
It is dynamic to update, link.
For a better understanding of the present invention, the above combination specific embodiments of the present invention are described in detail, but are not
Limitation of the present invention.Any simple modification made to the above embodiment according to the technical essence of the invention, still belongs to
In the range of technical solution of the present invention.In this specification the highlights of each of the examples are it is different from other embodiments it
Locate, the same or similar part cross-reference between each embodiment.For system embodiments, due to itself and method
Embodiment corresponds to substantially, so being described relatively simple, the relevent part can refer to the partial explaination of embodiments of method.
Claims (10)
1. a kind of coal mixing combustion intelligent management, including obtain coal blending data, which is characterized in that also comprise the steps of:
Step 1: establishing coal blending rule base, construct coal mixing combustion model；
Step 2: optimum coal mixture scheme scheme is obtained using the optimal resolving Algorithm of coal blending according to objective function；
Step 3: the optimum coal mixture scheme scheme is finely tuned according to real time data；
Step 4: optimum coal mixture scheme scheme described in automatic implementation, and the burning obtained in the optimum coal mixture scheme scheme implementation counts in real time
According to.
2. coal mixing combustion intelligent management as described in claim 1, it is characterised in that: the coal mixing combustion model includes 1
A set containing p independent variable parameter, 1 set and a knot comprising L constraint condition containing K objective function
It closes, mathematical description is as follows:
Wherein, x is independent variable vector, y=y1+y2For object vector, y1In index be known as negative index, y2In index be known as just
Index, f (x) are objective function ... restrictive condition are as follows: g (x)=(g1(x), g2(x) ..., gL(x))≤0, g (x) is constraint item
Part, for limiting feasible zone.
3. coal mixing combustion intelligent management as claimed in claim 2, which is characterized in that in multiple-objection optimization mathematical model
Under frame, multiple target blending models include basic parameter, constraint condition and objective function.
4. coal mixing combustion intelligent management as claimed in claim 3, which is characterized in that the basic parameter includes each single coal
Calorific value Qi, volatile matter Vi, ash content Ai, moisture Mi, sulphur content Si, ash fusion point STi, grey composition, coal price Pi, boiler design parameter,
At least one of load plan and equipment operating condition parameter.
5. coal mixing combustion intelligent management as claimed in claim 4, which is characterized in that the constraint condition includes following item
At least one of part:
Single coal ratio:
Calorific value: Q=fQ(Xi, Qi)≥QA,
Volatile matter: V=fV(Xi, Vi)≥VA,
Ash content: A=fA(Xi, Ai)≥AB,
Moisture: M=fM(Xi, Mi)≥MB,
Sulphur content: S=fS(Xi, Si)≥SB,
Ash fusion point: ST >=STA,
Wherein, Xi indicates the ratio of i-th kind of single coal, and subscript A indicates that the lower bound of index, subscript B indicate the upper bound of index.
6. coal mixing combustion intelligent management as claimed in claim 5, which is characterized in that use Multicriteria fuzzy decision-making method
The objective function of coal blending is constructed, condition is as follows:
1) all m kind Coal Blending Schemes for meeting constraint condition constitute scheme collection U, U={ u1, u2, u3..., un}；
2) the alternative collection V of objective function constituent element index all in coal blending0, V0={ P, RS, RW, RJ, RZ, SO2... }, in formula,
P indicates coal price, RSIndicate ignition quality, RWIndicate fire behaviour, RJIndicate burnout characteristic, RZIndicate Slagging Characteristics, SO2It indicates
SO2Emission performance；
3) according to the actual situation in V0N objective function constituent element indicator vector f of middle selection；
4) each index is normalized to eliminate the influence of dimension, obtains the corresponding normalization factor indicator vector r of every kind of schemej,
5) the normalization factor indicator vector of each scheme is multiplied with weight vectors, that is, constructs the objective function Z, Z=of coal blending
min(a·rj)。
7. coal mixing combustion intelligent management as described in claim 1, which is characterized in that the coal blending burning model includes matching
Coal, which is mixed, burns decision rule library, for judging suitable coal quality type according to the data analysis result to burning overall process, according to
Difference is mixed with rule generation coal-fired PM10 scheme.
8. coal mixing combustion intelligent management as claimed in claim 7, which is characterized in that described mix with rule includes that safety is mixed
It mixes with rule, environmental protection and mixes with rule and economy at least one of rule.
9. coal mixing combustion intelligent management as claimed in claim 8, which is characterized in that the safety, which is mixed, refers to root with rule
Coal situation is currently deposited according to coal mixing combustion historical data and coal yard, progress safety is optimal to mix with calculated result, recommends Coal Blending Schemes
It is ranked up from high to low according to safety.
10. a kind of coal mixing combustion intelligent management system, including the data acquisition module for obtaining coal blending data, feature exists
In also comprising with lower module:
Model construction module: for establishing coal blending rule base, coal mixing combustion model is constructed；
Scheme forms module: for obtaining optimum coal mixture scheme scheme using the optimal resolving Algorithm of coal blending according to objective function；
Scheme optimization module: for finely tuning the optimum coal mixture scheme scheme according to real time data；
Scheme implements module: for optimum coal mixture scheme scheme described in automatic implementation, and obtaining in the optimum coal mixture scheme scheme implementation
Burning real time data.
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| CN110689188A (en) * | 2019-09-24 | 2020-01-14 | 若普自动化技术（北京）有限公司 | Method and device for intelligently optimizing fire coal |
| CN110728073A (en) * | 2019-10-23 | 2020-01-24 | 北京黑色智慧科技有限公司 | Multi-objective optimization method for coal washing and blending |
| CN110910032A (en) * | 2019-11-29 | 2020-03-24 | 华润电力技术研究院有限公司 | Coal quality index evaluation method and related device |
| CN111024920A (en) * | 2019-12-30 | 2020-04-17 | 烟台龙源电力技术股份有限公司 | Real-time on-line monitoring system and method for coal quality in furnace |
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| CN114611819A (en) * | 2022-03-23 | 2022-06-10 | 北京明略软件系统有限公司 | Method and device for acquiring coal blending combustion scheme, electronic equipment and storage medium |
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| CN116305769A (en) * | 2022-12-30 | 2023-06-23 | 数字双碳科技(合肥)有限公司 | Carbon emission data-based blending combustion proportion optimization method |
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| CN110689188A (en) * | 2019-09-24 | 2020-01-14 | 若普自动化技术（北京）有限公司 | Method and device for intelligently optimizing fire coal |
| WO2021057845A1 (en) * | 2019-09-24 | 2021-04-01 | 中国石油化工股份有限公司 | System and method for intelligent gasification blending |
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