CN104971798A - Method for calculating steel ball loading capacity of coal mill in thermal power generation boiler - Google Patents
Method for calculating steel ball loading capacity of coal mill in thermal power generation boiler Download PDFInfo
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- CN104971798A CN104971798A CN201510264048.8A CN201510264048A CN104971798A CN 104971798 A CN104971798 A CN 104971798A CN 201510264048 A CN201510264048 A CN 201510264048A CN 104971798 A CN104971798 A CN 104971798A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B02—CRUSHING, PULVERISING, OR DISINTEGRATING; PREPARATORY TREATMENT OF GRAIN FOR MILLING
- B02C—CRUSHING, PULVERISING, OR DISINTEGRATING IN GENERAL; MILLING GRAIN
- B02C17/00—Disintegrating by tumbling mills, i.e. mills having a container charged with the material to be disintegrated with or without special disintegrating members such as pebbles or balls
- B02C17/18—Details
- B02C17/20—Disintegrating members
- B02C17/205—Adding disintegrating members to the tumbling mill
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B02—CRUSHING, PULVERISING, OR DISINTEGRATING; PREPARATORY TREATMENT OF GRAIN FOR MILLING
- B02C—CRUSHING, PULVERISING, OR DISINTEGRATING IN GENERAL; MILLING GRAIN
- B02C25/00—Control arrangements specially adapted for crushing or disintegrating
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Abstract
A method for calculating the steel ball loading capacity of a coal mill in a thermal power generation boiler comprises the steps that the calculation equation of the steel ball loading capacity m of the steel ball coal mill is k4*mk5+k6*mk5-1=k7*I/(Bm*h), wherein m is the steel ball loading capacity of the steel ball coal mill, h is a raw coal blending HGI hardness coefficient of a coal pulverizing system and a boiler combustion system, I is current of the steel ball coal mill, Bm is output of the steel ball coal mill, and k4, k5, k6 and k7 are undetermined coefficients; the problem that in the production site, raw coal blending hardness cannot be obtained can be effectively solved; meanwhile, according to online data of the current and the output of the steel ball coal mill, the steel ball loading capacity of the running steel ball coal mill can be rapidly evaluated, running maintenance persons can be guided to reasonably organize steel ball loading of the coal mill according to the optimum steel ball loading amount of the coal mill, and therefore the output of the steel ball coal mill can be effectively improved; and the current of the steel ball coal mill is controlled, running parameters of the coal pulverizing system can be optimized in an online manner, the economy of the coal pulverizing system of the thermal power generation boiler can be improved, and the effects of saving energy and reducing the consumption are achieved.
Description
One, technical field
Patent of the present invention relates to a kind of computational methods of steel ball loading capacity of coal pulverizer, especially a kind of computational methods of the steel ball loading capacity for the coal pulverizer in thermal power generation boiler.
Two, background technology
Security and the economy of thermal power plant unit operation depend primarily on steam generator system, and the factor affecting steam generator system safety in operation and economy is the pulverized coal preparation system of boiler fired coal, the task of thermal power plant pulverized coal preparation system is set to boiler provide quality and quantity all to meet the coal dust of combustion requirements.Existing thermal power generation corporations coal dust preparation system mainly divides and is set to following a few class: storage low speed coal mill system in (1); (2) straight-blowing double-inlet and double-outlet steel ball coal mill system; (3) direct-firing medium-speed pulverizer system.Because unit pulverized-coal system is used widely because its system layout is relatively simple, reliability is high, adapt to the strong advantage of coal ability;
For unit pulverized-coal system, the economy improving low speed coal mill just while raising pulverizer capacity, must control coal pulverizer electric current in optimum value as far as possible.The optimum charge of balls of low speed coal mill just plays key effect to raising pulverizer capacity and control coal pulverizer electric current.The many meetings of steel ball loading capacity cause pulverizer capacity to increase, but coal pulverizer electric current also increases simultaneously, and I haven't seen you for ages causes pulverizer capacity to reduce for steel ball loading capacity, but coal pulverizer electric current also reduces simultaneously.Exert oneself at raising low speed coal mill and control mainly there is following two problems in coal pulverizer electric current in present each thermal power plant: first, enter the hardness of raw coal to be ground in low speed coal mill and low speed coal mill exert oneself between there is coupled relation, but current domestic thermal power plant generally adopts Coal rank to carry out mixing joining, production scene cannot obtain mixing join after the hardness data of mixed coal.Secondly, there is coupled relation between exerting oneself in low speed coal mill steel ball loading capacity and low speed coal mill, but weigh when steel ball loading capacity is only and installs additional first or reassemble after overhaul disintegration, cannot weigh when low speed coal mill normally runs.Simultaneously owing to cannot learn steel ball loading capacity data accurately, operation maintenance personnel generally adopt long interval to install the way of a large amount of steel ball additional more when low speed coal mill normally runs, thus cannot ensure to maintain optimum charge of balls in low speed coal mill;
In order to ensure the security of thermal power plant unit operation and improve its economy, the steel ball loading capacity of the coal pulverizer in thermal power generation boiler is calculated and controls tool and has very important significance, therefore the computational methods for the steel ball loading capacity of the coal pulverizer in thermal power generation boiler are a kind of important computational methods, also do not have now a kind of computational methods of the steel ball loading capacity for the coal pulverizer in thermal power generation boiler.
Three, summary of the invention
In order to overcome above-mentioned technical disadvantages, the object of patent of the present invention is to provide a kind of computational methods of the steel ball loading capacity for the coal pulverizer in thermal power generation boiler, therefore improves thermal power plant pulverized coal preparation system economy, reaches energy conservation and consumption reduction effects.
In order to achieve the above object, the technical scheme that patent of the present invention is taked is:
Comprise the following steps:
First step:
Low speed coal mill steel ball loading capacity m accounting equation: k4 × m
k5+ k6 × m
k5-1=k7 × I/ (Bm × h),
Wherein:
M is set to low speed coal mill steel ball loading capacity,
H is set to pulverized coal preparation system and boiler combustion system and mixes and join raw coal HGI hardness factor;
I is set to low speed coal mill electric current,
Bm is set to low speed coal mill and exerts oneself,
K4, k5, k6, k7 are respectively undetermined coefficient;
Extract steady state data: from ball mill pulverizing system PI history station, choose low speed coal mill service data, selected data meet successively low speed coal mill add mix join that raw coal band carries 25% design rating steady state data, low speed coal mill add mix join that raw coal band carries 50% design rating steady state data, low speed coal mill add mix join that raw coal band carries 75% design rating steady state data, low speed coal mill adds to mix and joins raw coal band and carry 100% design rating steady state data;
Wherein:
Low speed coal mill adds to mix and joins raw coal band and carry 25% design rating and refer to: have liner plate and 100% design steel ball to load in low speed coal mill, installs 25% additional and mixes and join raw coal design rating;
Wherein:
Mix and join raw coal and refer to: meet mixing of trying to achieve and join mixing of raw coal hardness factor h and join raw coal;
According to extraction steady state data, utilize and use least square method matrix form to describe low speed coal mill to mix and join raw coal hardness factor computation model:
，
，
；
，
；
Wherein H is that the matrix representation forms of joining raw coal hardness factor h mixed by low speed coal mill, for m ties up output vector; X is that input matrix is tieed up in m × 3; K is 4 dimension parameter vectors; Θ is that calculation matrix is tieed up in m × 4; θ is that m keeps in repair positive vector;
Be H=Θ K+ θ by matrix reduction;
If
represent the optimal estimation K of k,
the optimal estimation of h, then
=Θ
;
If e is residual error, represent H with
difference, e=H-
=H-Θ
;
Utilize formula J=e
te=(H-Θ
)
t(H-Θ
) make residual sum of squares (RSS) get minimum of a value, as (H-Θ
)
t(H-Θ
) when meeting nonsingular condition, J is asked
partial derivative and make
obtain partial derivative and equal 0, after abbreviation, can optimized parameter be obtained
=(Θ
tΘ)
-1Θ
th;
Pulverized coal preparation system and boiler combustion system mix the determination of joining raw coal HGI hardness factor h: by try to achieve undetermined coefficient k4, k5, k6, k7, calculate low speed coal mill steel ball loading capacity m.
Second step:
Low speed coal mill is mixed and is joined raw coal HGI hardness factor h computation model: h=k0+ (k1 × (I-k2) ^k3)/Bm,
Wherein: h is set to pulverized coal preparation system and boiler combustion system and mixes and join raw coal HGI hardness factor,
I is set to low speed coal mill electric current,
Bm is set to low speed coal mill and exerts oneself,
K0, k1, k2, k3 are respectively undetermined coefficient;
Extract steady state data: from ball mill pulverizing system PI history station, choose low speed coal mill service data, selected data meet low speed coal mill sky mill successively without steel ball steady state data, the empty grinding belt of low speed coal mill carries 25% design steel ball loading capacity steady state data, the empty grinding belt of low speed coal mill carries 50% design steel ball loading capacity steady state data, the empty grinding belt of low speed coal mill carries 75% design steel ball loading capacity steady state data, the empty grinding belt of low speed coal mill carries 100% design steel ball loading capacity steady state data, low speed coal mill adds standard raw coal band and carries 50% design rating steady state data, low speed coal mill adds standard raw coal band and carries 100% design rating steady state data,
Wherein:
Low speed coal mill sky mill refers to without steel ball: only have liner plate in low speed coal mill, do not install steel ball and raw coal additional;
The empty grinding belt of low speed coal mill carries 25% design steel ball loading capacity and refers to: have liner plate and 25% design steel ball to load in low speed coal mill, do not install raw coal additional;
The empty grinding belt of low speed coal mill carries 50% design steel ball loading capacity and refers to: have liner plate and 50% design steel ball to load in low speed coal mill, do not install raw coal additional;
The empty grinding belt of low speed coal mill carries 75% design steel ball loading capacity and refers to: have liner plate and 75% design steel ball to load in low speed coal mill, do not install raw coal additional;
The empty grinding belt of low speed coal mill carries 100% design steel ball loading capacity and refers to: have liner plate and 100% design steel ball to load in low speed coal mill, do not install raw coal additional;
Low speed coal mill adds standard raw coal band and carries 50% design rating and refer to: have liner plate and 100% design steel ball to load in low speed coal mill, install 50% standard raw coal design rating additional;
Wherein:
Standard raw coal refers to: raw coal HGI hardness is set to 64,60,55 or 50 respectively;
The determination of k0, k1, k2, k3: utilize and extract steady state data, uses least square method to mix low speed coal mill and joins raw coal hardness factor computation model and carry out model training, calculate undetermined coefficient k0, k1, k2, k3;
Utilize and use least square method matrix form to describe low speed coal mill to mix and join raw coal hardness factor computation model:
，
，
；
，
；
Wherein H is that the matrix representation forms of joining raw coal hardness factor h mixed by low speed coal mill, for m ties up output vector; X is that input matrix is tieed up in m × 3; K is 4 dimension parameter vectors; Θ is that calculation matrix is tieed up in m × 4; θ is that m keeps in repair positive vector;
Be H=Θ K+ θ by matrix reduction;
If
represent the optimal estimation K of k,
the optimal estimation of h, then
=Θ
;
If e is residual error, represent H with
difference, e=H-
=H-Θ
;
Utilize formula J=e
te=(H-Θ
)
t(H-Θ
) make residual sum of squares (RSS) get minimum of a value, as (H-Θ
)
t(H-Θ
) when meeting nonsingular condition, J is asked
partial derivative and make
obtain partial derivative and equal 0, after abbreviation, can optimized parameter be obtained
=(Θ
tΘ)
-1Θ
th;
Pulverized coal preparation system and boiler combustion system mix the determination of joining raw coal HGI hardness factor h: by try to achieve undetermined coefficient k0, k1, k2, k3, calculate low speed coal mill and mix and join raw coal HGI hardness factor h.
Mix join raw coal HGI hardness factor h and low speed coal mill steel ball loading capacity m computation model owing to devising low speed coal mill, can effectively avoid production scene cannot obtain mixing the problem of joining raw coal hardness; Simultaneously according to low speed coal mill electric current and the online data of exerting oneself, can rapid evaluation run in the steel ball loading capacity of low speed coal mill, operation maintenance personnel are instructed to install additional according to coal pulverizer optimum charge of balls rationalization coal pulverizer steel ball, thus effectively raising low speed coal mill is exerted oneself, control low speed coal mill electric current, on-line optimization Operational Parameters in Powder Making System, improves thermal power plant pulverized coal preparation system economy, reaches energy conservation and consumption reduction effects.
The present invention devises, the programming of the computational methods of the steel ball loading capacity for the coal pulverizer in thermal power generation boiler for being implanted in the DCS control system unit pulverized-coal system control module of thermal power plant.
In the technical program, steady state data refer to coal pulverizer start after and current stabilization and exert oneself and ventilation more than 50% design load time data, main consider it is reject fluctuate data and the data that transfinite.
In the technical program, low speed coal mill mixes that to join raw coal HGI hardness factor h be important technical characteristic, in the technical field of the computational methods of the steel ball loading capacity for the coal pulverizer in thermal power generation boiler, have novelty, creativeness and practicality, the term in the technical program is all to make an explanation with patent document in the art and to understand.
Four, detailed description of the invention
Below in conjunction with embodiment, further describe the present invention, following examples are intended to the present invention instead of limitation of the invention further are described.
First embodiment of the present invention, technical scheme of the present invention, the steps include:
First step:
Low speed coal mill steel ball loading capacity m accounting equation: k4 × m
k5+ k6 × m
k5-1=k7 × I/ (Bm × h),
Wherein:
M is set to low speed coal mill steel ball loading capacity,
H is set to pulverized coal preparation system and boiler combustion system and mixes and join raw coal HGI hardness factor;
I is set to low speed coal mill electric current,
Bm is set to low speed coal mill and exerts oneself,
K4, k5, k6, k7 are respectively undetermined coefficient;
Extract steady state data: from ball mill pulverizing system PI history station, choose low speed coal mill service data, selected data meet successively low speed coal mill add mix join that raw coal band carries 25% design rating steady state data, low speed coal mill add mix join that raw coal band carries 50% design rating steady state data, low speed coal mill add mix join that raw coal band carries 75% design rating steady state data, low speed coal mill adds to mix and joins raw coal band and carry 100% design rating steady state data;
Wherein:
Low speed coal mill adds to mix and joins raw coal band and carry 25% design rating and refer to: have liner plate and 100% design steel ball to load in low speed coal mill, installs 25% additional and mixes and join raw coal design rating;
Wherein:
Mix and join raw coal and refer to: meet mixing of trying to achieve and join mixing of raw coal hardness factor h and join raw coal;
According to extraction steady state data, utilize and use least square method matrix form to describe low speed coal mill to mix and join raw coal hardness factor computation model:
，
，
；
，
；
Wherein H is that the matrix representation forms of joining raw coal hardness factor h mixed by low speed coal mill, for m ties up output vector; X is that input matrix is tieed up in m × 3; K is 4 dimension parameter vectors; Θ is that calculation matrix is tieed up in m × 4; θ is that m keeps in repair positive vector;
Be H=Θ K+ θ by matrix reduction;
If
represent the optimal estimation K of k,
the optimal estimation of h, then
=Θ
;
If e is residual error, represent H with
difference, e=H-
=H-Θ
;
Utilize formula J=e
te=(H-Θ
)
t(H-Θ
) make residual sum of squares (RSS) get minimum of a value, as (H-Θ
)
t(H-Θ
) when meeting nonsingular condition, J is asked
partial derivative and make
obtain partial derivative and equal 0, after abbreviation, can optimized parameter be obtained
=(Θ
tΘ)
-1Θ
th;
Pulverized coal preparation system and boiler combustion system mix the determination of joining raw coal HGI hardness factor h: by try to achieve undetermined coefficient k4, k5, k6, k7, calculate low speed coal mill steel ball loading capacity m.
Second step:
Low speed coal mill is mixed and is joined raw coal HGI hardness factor h computation model: h=k0+ (k1 × (I-k2) ^k3)/Bm,
Wherein: h is set to pulverized coal preparation system and boiler combustion system and mixes and join raw coal HGI hardness factor,
I is set to low speed coal mill electric current,
Bm is set to low speed coal mill and exerts oneself,
K0, k1, k2, k3 are respectively undetermined coefficient;
Extract steady state data: from ball mill pulverizing system PI history station, choose low speed coal mill service data, selected data meet low speed coal mill sky mill successively without steel ball steady state data, the empty grinding belt of low speed coal mill carries 25% design steel ball loading capacity steady state data, the empty grinding belt of low speed coal mill carries 50% design steel ball loading capacity steady state data, the empty grinding belt of low speed coal mill carries 75% design steel ball loading capacity steady state data, the empty grinding belt of low speed coal mill carries 100% design steel ball loading capacity steady state data, low speed coal mill adds standard raw coal band and carries 50% design rating steady state data, low speed coal mill adds standard raw coal band and carries 100% design rating steady state data,
Wherein:
Low speed coal mill sky mill refers to without steel ball: only have liner plate in low speed coal mill, do not install steel ball and raw coal additional;
The empty grinding belt of low speed coal mill carries 25% design steel ball loading capacity and refers to: have liner plate and 25% design steel ball to load in low speed coal mill, do not install raw coal additional;
The empty grinding belt of low speed coal mill carries 50% design steel ball loading capacity and refers to: have liner plate and 50% design steel ball to load in low speed coal mill, do not install raw coal additional;
The empty grinding belt of low speed coal mill carries 75% design steel ball loading capacity and refers to: have liner plate and 75% design steel ball to load in low speed coal mill, do not install raw coal additional;
The empty grinding belt of low speed coal mill carries 100% design steel ball loading capacity and refers to: have liner plate and 100% design steel ball to load in low speed coal mill, do not install raw coal additional;
Low speed coal mill adds standard raw coal band and carries 50% design rating and refer to: have liner plate and 100% design steel ball to load in low speed coal mill, install 50% standard raw coal design rating additional;
Wherein:
Standard raw coal refers to: raw coal HGI hardness is set to 64,60,55 or 50 respectively;
The determination of k0, k1, k2, k3: utilize and extract steady state data, uses least square method to mix low speed coal mill and joins raw coal hardness factor computation model and carry out model training, calculate undetermined coefficient k0, k1, k2, k3;
Use least square method matrix form to describe low speed coal mill to mix and join raw coal hardness factor computation model:
，
，
；
，
；
Wherein H is that the matrix representation forms of joining raw coal hardness factor h mixed by low speed coal mill, for m ties up output vector; X is that input matrix is tieed up in m × 3; K is 4 dimension parameter vectors; Θ is that calculation matrix is tieed up in m × 4; θ is that m keeps in repair positive vector;
Be H=Θ K+ θ by matrix reduction;
If
represent the optimal estimation K of k,
the optimal estimation of h, then
=Θ
;
If e is residual error, represent H with
difference, e=H-
=H-Θ
;
Utilize formula J=e
te=(H-Θ
)
t(H-Θ
) make residual sum of squares (RSS) get minimum of a value, as (H-Θ
)
t(H-Θ
) when meeting nonsingular condition, J is asked
partial derivative and make
obtain partial derivative and equal 0, after abbreviation, can optimized parameter be obtained
=(Θ
tΘ)
-1Θ
th;
Pulverized coal preparation system and boiler combustion system mix the determination of joining raw coal HGI hardness factor h: by try to achieve undetermined coefficient k0, k1, k2, k3, calculate low speed coal mill and mix and join raw coal HGI hardness factor h.
By extracting steady state data, using least square method matrix computations to obtain k0, k1, k2, k3 and k4, k5, k6, k7, calculating low speed coal mill and mixing and join raw coal HGI hardness factor h, then calculating low speed coal mill steel ball loading capacity m.
Mainly propose to mix and join raw coal hardness factor computation model, effectively avoid production scene cannot obtain mixing the problem of joining raw coal hardness, the steel ball loading capacity of low speed coal mill during rapid evaluation runs, instruct operation maintenance personnel to install additional according to coal pulverizer optimum charge of balls rationalization coal pulverizer steel ball, and verified by test data.Be BBD4360 coal pulverizer to 1000MW unit direct-fired mill model, mixed the design of the technical program of joining raw coal HGI hardness factor h and low speed coal mill steel ball loading capacity m by low speed coal mill, optimize the operational factor of BBD4360 coal pulverizer and improve operating efficiency.
Patent of the present invention has lower feature:
1, mix join raw coal HGI hardness factor h and low speed coal mill steel ball loading capacity m computation model owing to devising low speed coal mill, can effectively avoid production scene cannot obtain mixing the problem of joining raw coal hardness; Simultaneously according to low speed coal mill electric current and the online data of exerting oneself, can rapid evaluation run in the steel ball loading capacity of low speed coal mill, operation maintenance personnel are instructed to install additional according to coal pulverizer optimum charge of balls rationalization coal pulverizer steel ball, thus effectively raising low speed coal mill is exerted oneself, control low speed coal mill electric current, on-line optimization Operational Parameters in Powder Making System, improves thermal power plant pulverized coal preparation system economy, reaches energy conservation and consumption reduction effects.
2, mix join raw coal HGI hardness factor h and low speed coal mill steel ball loading capacity m computation model owing to devising low speed coal mill, the pulverized coal preparation system running current parameter optimized, increases steel ball loading capacity, improves the effectiveness of performance that boiler combustion system runs.
3, owing to devising, the restriction of number range has been carried out to planform, make the technical characteristic that number range is set in the technical scheme of patent of the present invention, be not by formulae discovery or tested the technical characteristic drawn by limited number of time, test shows that the technical characteristic of this number range achieves good technique effect.
4, owing to devising the technical characteristic of patent of the present invention, in the effect of the set separately and each other of technical characteristic, shown by test, what the property indices of patent of the present invention was set to existing property indices is at least set to 1.7 times, has good market value by assessment.
Above-described embodiment is a kind of way of realization of the computational methods of the steel ball loading capacity for the coal pulverizer in thermal power generation boiler provided by the present invention; according to other distortion of scheme provided by the present invention; the composition increased or reduce wherein or step; or the present invention is used for other the technical field close with the present invention, all belongs to protection scope of the present invention.
Claims (2)
1. the computational methods for the steel ball loading capacity of the coal pulverizer in thermal power generation boiler; It is characterized in that: the steps include:
First step:
Low speed coal mill steel ball loading capacity m accounting equation: k4 × m
k5+ k6 × m
k5-1=k7 × I/ (Bm × h),
Wherein:
M is set to low speed coal mill steel ball loading capacity,
H is set to pulverized coal preparation system and boiler combustion system and mixes and join raw coal HGI hardness factor;
I is set to low speed coal mill electric current,
Bm is set to low speed coal mill and exerts oneself,
K4, k5, k6, k7 are respectively undetermined coefficient;
Extract steady state data: from ball mill pulverizing system PI history station, choose low speed coal mill service data, selected data meet successively low speed coal mill add mix join that raw coal band carries 25% design rating steady state data, low speed coal mill add mix join that raw coal band carries 50% design rating steady state data, low speed coal mill add mix join that raw coal band carries 75% design rating steady state data, low speed coal mill adds to mix and joins raw coal band and carry 100% design rating steady state data;
Wherein:
Low speed coal mill adds to mix and joins raw coal band and carry 25% design rating and refer to: have liner plate and 100% design steel ball to load in low speed coal mill, installs 25% additional and mixes and join raw coal design rating;
Wherein:
Mix and join raw coal and refer to: meet mixing of trying to achieve and join mixing of raw coal hardness factor h and join raw coal;
According to extraction steady state data, utilize and use least square method matrix form to describe low speed coal mill to mix and join raw coal hardness factor computation model:
，
，
；
，
；
Wherein H is that the matrix representation forms of joining raw coal hardness factor h mixed by low speed coal mill, for m ties up output vector; X is that input matrix is tieed up in m × 3; K is 4 dimension parameter vectors; Θ is that calculation matrix is tieed up in m × 4; θ is that m keeps in repair positive vector;
Be H=Θ K+ θ by matrix reduction;
If
represent the optimal estimation K of k,
the optimal estimation of h, then
=Θ
;
If e is residual error, represent H with
difference, e=H-
=H-Θ
;
Utilize formula J=e
te=(H-Θ
)
t(H-Θ
) make residual sum of squares (RSS) get minimum of a value, as (H-Θ
)
t(H-Θ
) when meeting nonsingular condition, J is asked
partial derivative and make
obtain partial derivative and equal 0, after abbreviation, can optimized parameter be obtained
=(Θ
tΘ)
-1Θ
th;
Pulverized coal preparation system and boiler combustion system mix the determination of joining raw coal HGI hardness factor h: by try to achieve undetermined coefficient k4, k5, k6, k7, calculate low speed coal mill steel ball loading capacity m;
Second step:
Low speed coal mill is mixed and is joined raw coal HGI hardness factor h computation model: h=k0+ (k1 × (I-k2) ^k3)/Bm,
Wherein: h is set to pulverized coal preparation system and boiler combustion system and mixes and join raw coal HGI hardness factor,
I is set to low speed coal mill electric current,
Bm is set to low speed coal mill and exerts oneself,
K0, k1, k2, k3 are respectively undetermined coefficient;
Extract steady state data: from ball mill pulverizing system PI history station, choose low speed coal mill service data, selected data meet low speed coal mill sky mill successively without steel ball steady state data, the empty grinding belt of low speed coal mill carries 25% design steel ball loading capacity steady state data, the empty grinding belt of low speed coal mill carries 50% design steel ball loading capacity steady state data, the empty grinding belt of low speed coal mill carries 75% design steel ball loading capacity steady state data, the empty grinding belt of low speed coal mill carries 100% design steel ball loading capacity steady state data, low speed coal mill adds standard raw coal band and carries 50% design rating steady state data, low speed coal mill adds standard raw coal band and carries 100% design rating steady state data,
Wherein:
Low speed coal mill sky mill refers to without steel ball: only have liner plate in low speed coal mill, do not install steel ball and raw coal additional;
The empty grinding belt of low speed coal mill carries 25% design steel ball loading capacity and refers to: have liner plate and 25% design steel ball to load in low speed coal mill, do not install raw coal additional;
The empty grinding belt of low speed coal mill carries 50% design steel ball loading capacity and refers to: have liner plate and 50% design steel ball to load in low speed coal mill, do not install raw coal additional;
The empty grinding belt of low speed coal mill carries 75% design steel ball loading capacity and refers to: have liner plate and 75% design steel ball to load in low speed coal mill, do not install raw coal additional;
The empty grinding belt of low speed coal mill carries 100% design steel ball loading capacity and refers to: have liner plate and 100% design steel ball to load in low speed coal mill, do not install raw coal additional;
Low speed coal mill adds standard raw coal band and carries 50% design rating and refer to: have liner plate and 100% design steel ball to load in low speed coal mill, install 50% standard raw coal design rating additional;
Wherein:
Standard raw coal refers to: raw coal HGI hardness is set to 64,60,55 or 50 respectively;
The determination of k0, k1, k2, k3: utilize and extract steady state data, uses least square method to mix low speed coal mill and joins raw coal hardness factor computation model and carry out model training, calculate undetermined coefficient k0, k1, k2, k3;
Utilize and use least square method matrix form to describe low speed coal mill to mix and join raw coal hardness factor computation model:
，
，
；
，
；
Wherein H is that the matrix representation forms of joining raw coal hardness factor h mixed by low speed coal mill, for m ties up output vector; X is that input matrix is tieed up in m × 3; K is 4 dimension parameter vectors; Θ is that calculation matrix is tieed up in m × 4; θ is that m keeps in repair positive vector;
Be H=Θ K+ θ by matrix reduction;
If
represent the optimal estimation K of k,
the optimal estimation of h, then
=Θ
;
If e is residual error, represent H with
difference, e=H-
=H-Θ
;
Utilize formula J=e
te=(H-Θ
)
t(H-Θ
) make residual sum of squares (RSS) get minimum of a value, as (H-Θ
)
t(H-Θ
) when meeting nonsingular condition, J is asked
partial derivative and make
obtain partial derivative and equal 0, after abbreviation, can optimized parameter be obtained
=(Θ
tΘ)
-1Θ
th;
Pulverized coal preparation system and boiler combustion system mix the determination of joining raw coal HGI hardness factor h: by try to achieve undetermined coefficient k0, k1, k2, k3, calculate low speed coal mill and mix and join raw coal HGI hardness factor h.
2. the computational methods of the steel ball loading capacity for the coal pulverizer in thermal power generation boiler according to claim 1, is characterized in that: the programming of the computational methods of the steel ball loading capacity for the coal pulverizer in thermal power generation boiler for being implanted in the DCS control system unit pulverized-coal system control module of thermal power plant.
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