CN117519047A - Intelligent control method and system for mine ventilation system based on equipment regulation and control - Google Patents

Intelligent control method and system for mine ventilation system based on equipment regulation and control Download PDF

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CN117519047A
CN117519047A CN202311652656.7A CN202311652656A CN117519047A CN 117519047 A CN117519047 A CN 117519047A CN 202311652656 A CN202311652656 A CN 202311652656A CN 117519047 A CN117519047 A CN 117519047A
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mine ventilation
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CN117519047B (en
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钟德云
吴照浩
王李管
毕林
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Central South University
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Central South University
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    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
    • G05B19/41865—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G05B2219/32—Operator till task planning
    • G05B2219/32252—Scheduling production, machining, job shop

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Abstract

The invention discloses an intelligent control method of a mine ventilation system based on equipment regulation, which comprises the steps of obtaining real-time data information of a target mine ventilation system; constructing a mine ventilation network model of a target mine ventilation system; setting a required wind point and a corresponding required wind quantity in the model; constructing an equipment regulation mathematical model of the target mine ventilation system and solving to obtain a corresponding equipment regulation scheme; and controlling the mine ventilation system based on the equipment regulation according to the obtained equipment regulation scheme. The invention also discloses a system for realizing the intelligent control method of the mine ventilation system based on equipment regulation and control. The invention constructs an intelligent air quantity regulation linear solving model, has the characteristics of high efficiency, stability and suitability for large-scale solving, can automatically regulate and control any complicated ventilation network, and has high reliability, good accuracy and better effect.

Description

Intelligent control method and system for mine ventilation system based on equipment regulation and control
Technical Field
The invention belongs to the technical field of mine ventilation, and particularly relates to an intelligent control method and system for a mine ventilation system based on equipment regulation and control.
Background
With the development of economic technology, mine safety problems have been increasingly emphasized. The mine ventilation system is one of important security links of mine safety; therefore, the control of the mine ventilation system is particularly important.
At present, a traditional control scheme of a mine ventilation system adopts an air quantity regulation scheme based on a nonlinear model; although the scheme can accurately model the mine ventilation system, the scheme often has the problems that the algorithm can not converge or the algorithm can converge slowly in the mathematical solving process, so that the control effect of the mine ventilation system is seriously affected. Furthermore, such solutions are not directly applicable to large scale ventilation networks, and thus such solutions are also difficult to solve in practice ventilation system control problems in mine shafts.
Disclosure of Invention
The invention aims to provide an intelligent control method for a mine ventilation system based on equipment regulation and control, which is high in reliability, good in accuracy and good in effect.
The second purpose of the invention is to provide a system for realizing the intelligent control method of the mine ventilation system based on equipment regulation.
The intelligent control method for the mine ventilation system based on equipment regulation provided by the invention comprises the following steps:
s1, acquiring real-time data information of a target mine ventilation system;
s2, constructing a mine ventilation network model of the target mine ventilation system according to the data information acquired in the step S1;
s3, setting air points and corresponding air quantity in the model according to the model constructed in the step S2;
s4, constructing an equipment regulation mathematical model of the target mine ventilation system according to the data information obtained in the step S3;
s5, solving the equipment regulation mathematical model constructed in the step S4 to obtain a corresponding equipment regulation scheme;
s6, according to the equipment regulation and control scheme obtained in the step S5, control of the mine ventilation system based on equipment regulation and control is achieved.
The step S2 of constructing a mine ventilation network model of the target mine ventilation system according to the data information acquired in the step S1 specifically comprises the following steps:
determining basic parameters of the ventilation network and the initial state of the ventilation network according to the data information obtained in the step S1 and based on the data of the latest underground ventilation resistance measurement and the corresponding ventilation equipment state; the basic parameters of the ventilation network comprise ventilation tunnel wind resistance and section parameters;
correcting the wind resistance parameter to ensure that the error between the calculation result of the ventilation network and the underground actual wind distribution state is within a set range; the ventilation network calculation result comprises a roadway air quantity distribution value;
determining the initial state of each device in the target mine ventilation system according to the regulation and control state of the current underground device; the initial state of each device comprises the current opening degree of each wind window and the current operating frequency of each fan.
The step S3 of setting the wind-required points and the corresponding wind-required quantities in the model constructed according to the step S2 specifically comprises the following steps:
setting a wind-requiring point: determining a wind demand point and a wind demand type according to the wind demand of an underground operation site, and setting a branch corresponding to the wind demand point as a wind demand branch in a constructed mine ventilation network model;
and (5) calculating the required air quantity: and according to the set wind-demand point positions and the corresponding wind-demand types, collecting the environmental parameters of the wind-demand point positions, and calculating the wind-demand quantity of each wind-demand point.
And (3) constructing a device regulation mathematical model of the target mine ventilation system according to the data information obtained in the step (S3), wherein the device regulation mathematical model specifically comprises the following steps:
the following formula is adopted as an objective function of an equipment regulation mathematical model of the target mine ventilation system:
wherein Z is an objective function value; omega i The weight coefficient of the ith regulation target; z i Is the ith regulation target;
the 1 st regulation target is a ventilation fan power target and is expressed by the following formula:
z in 1 Is the power target value of the ventilation fan; f is the collection of all fan branches; q f,j The air quantity of the fan is the j-th branch, and the branch is the air quantity of the fan; h is a f,j The air pressure of the fan is the j-th branch, and the branch is the air pressure of the fan;
the 2 nd regulation target is an on-demand ventilation demand target and is represented by the following formula:
z in 2 Is a ventilation demand target value on demand; n (N) d The method comprises the steps of dividing wind branches into a set of all on-demand branches;is the j-th branch and the branch is the upper limit deviation of the on-demand wind-dividing range of the on-demand wind-dividing branch, and satisfies +.>q j Is the air quantity of the j-th branch which is the air quantity of the air-splitting branch according to the requirement, q j,max The j branch is the upper limit of the allowable air quantity of the air-splitting branch according to the requirement; q j Is the j-th branch and the branch is the lower limit deviation of the on-demand wind-splitting range of the on-demand wind-splitting branch, and meetsq j,min Is the j-th branch and the branch is the allowable air quantity of the air-splitting branch according to the requirementLower limit, q j,max ≥q j,min ＞0；
The 3 rd regulation target is an unbalanced air volume value target and is expressed by the following formula:
z in 3 Is an unbalanced air quantity value target value; j is the node number of the mine ventilation network model;upper limit deviation of unbalanced air quantity value for ith node, +.>qe i For the lower limit deviation of the unbalanced wind quantity value, qe of the ith node i ≥0；
The 4 th regulation target is an unbalanced wind pressure value target and is expressed by the following formula:
z in 4 Is an unbalanced wind pressure value target value; m is the number of independent loops of the mine ventilation network model, m=n-j+1, N is the number of branches of the mine ventilation network model;is the upper limit deviation of the unbalanced wind pressure value of the ith independent loop,he i for the lower limit deviation of the unbalanced wind pressure value of the ith independent loop, he i ≥0。
And (3) constructing a device regulation mathematical model of the target mine ventilation system according to the data information obtained in the step (S3), wherein the device regulation mathematical model specifically comprises the following steps:
the following formula is adopted as constraint condition:
air quantity balance constraint:
in the mine ventilation network model, algebraic sum of air quantity of each branch flowing into and flowing out of any node is zero, and the algebraic sum is expressed as:
q in j The air quantity of the j-th branch; a, a ij Is the relation variable between the ith node and the jth branch, and
wind pressure balance constraint:
in the mine ventilation network model, the algebraic sum of the wind pressures of all branches in any loop is zero, and the algebraic sum is expressed as:
h in j Is the algebraic sum of the wind pressures of the j-th branch, and h j ＝r j (q j ) 2 -h f,j -h N,j ，r j Wind resistance of the j-th branch, r j ＝r l,j +r w,j ，r l,j The windage of the tunnel of the j branch, r w,j Equivalent wind resistance of corresponding wind window of jth branch, h f,j Wind pressure of fan of jth branch, h N,j Natural wind pressure of jth branch, b ij As a relation variable between the i-th independent loop and the j-th branch,
wind window opening regulation and control constraint:
all types of ventilation structures with wind windows and wind resistance adjustment types are converted into equivalent wind resistance of a roadway and used for restraining air quantity control;
directly attaching the converted roadway equivalent wind resistance to the corresponding roadway wind resistance;
taking the regulation and control of a shutter window of a specific type as an example, determining the relation between the opening of the shutter window and the equivalent wind resistance of the corresponding shutter window in a mode of actual measurement or simulation and the like, and expressing the relation as r w,j ＝f w (θ j ) Wherein f w () The calculation function relation of roadway wind resistance corresponding to different openings of the wind window is determined according to modes of actual measurement or simulation and the like by combining actual conditions; θ j A louver opening degree which is the j-th branch and the branch is a louver branch;
window opening range constraint:
θ j,min ≤θ j ≤θ j,max
in theta j A louver opening degree which is the j-th branch and the branch is a louver branch; θ j,min A window opening lower limit value which is the j-th branch and is the window branch; θ j,max A window opening upper limit value which is the j-th branch and is the window branch;
for the set wind window which does not allow regulation and control, setting the value range of the wind window opening as the current opening of the wind window;
fan frequency conversion regulation and control constraint:
h f,j ＝a j,0 (N j ) 2 +a j,1 q f,j N j +a j,2 (q f,j ) 2
in which a is j,0 Fitting a first coefficient for a fan characteristic curve of a jth branch before frequency conversion, wherein the jth branch is a fan branch; a, a j,1 Fitting a second coefficient for a fan characteristic curve of a jth branch before frequency conversion, wherein the jth branch is a fan branch; a, a j,2 Fitting a third coefficient for a fan characteristic curve of the j-th branch before frequency conversion, wherein the j-th branch is a fan branch; q f,j The variable frequency is the j-th branch and the branch is the fan air quantity of the fan branch; n (N) j The frequency of the jth branch is the ratio of the frequency of the fan branch after fan frequency conversion to the frequency of the fan before frequency conversion;
fan frequency conversion range constraint:
Hz j,min ≤Hz j ≤Hz j,max
intermediate Hz j Fan frequency for the j-th branch and the fan branch; hz (Hz) j,min A fan frequency lower limit value which is the j-th branch and is the fan branch; hz (Hz) j,max A fan frequency upper limit value which is the j-th branch and is the fan branch;
for a set fan which does not allow frequency conversion, directly limiting the fan frequency value range to the current running frequency of the fan;
wind pressure constraint for fan operation:
h f,j,min ≤h f,j ≤h f,j,max
h in f,j,min A fan wind pressure lower limit value of the jth branch, wherein the j branch is a fan branch; h is a f,j,max A fan wind pressure upper limit value of the jth branch, wherein the j branch is a fan branch;
and (3) fan operation air quantity constraint:
q f,j,min ≤q f,j ≤q f,j,max
q in f,j,min A lower limit value of the air quantity of the fan, q, which is the j-th branch and is the fan branch f,j,min ≥0；q f,j,max A fan air quantity upper limit value q of the jth branch which is a fan branch f,j,max ≥q f,j,min ≥0。
The solving of the device regulation mathematical model constructed in the step S4 in the step S5 specifically comprises the following steps:
before solving, discretizing a wind window opening variable, a fan frequency ratio variable and all variables representing air quantity;
discretizing a wind window opening variable:
setting a window opening variable theta of the jth branch, which is a window branch j The range of the values is as follows A louver opening variable θ that is the jth branch and the branch is the louver branch j W of (2) j The value of->Are set values;
setting 0-1 variable n j,w Whether or not the opening degree of the louver, which represents the jth branch and is the louver branch, takes a value of θ j,w And (2) andw has a value of 1 to W j ；
Adopts the following calculation formula to pair n j,w Performing value limiting:
after discretization, the wind window opening variable theta j The following formula is adopted instead:
to avoid the occurrence of nonlinear terms, the intermediate 0-1 variable n is reintroduced j,k,w And satisfies:
q in j The j branch is the air quantity of the air window branch; f (f) w (θ j ) A j-th branch is a functional relationship between the opening of the wind window branch and the wind resistance of the roadway; n is n j,k,w Satisfy n j,k,w ＝n j,k n j,w ；
At the same time, the intermediate 0-1 variable n j,k,w The method meets the following conditions:
discretizing a fan frequency ratio variable:
setting the j branch which is the ratio N of the frequency of the fan branch after fan frequency conversion to the frequency of the fan before frequency conversion j The range of the values is as followsIs the j branch and is the ratio N of the frequency of the fan branch after fan frequency conversion to the frequency of the fan before frequency conversion j T of (5) j Taking values; />Are set values;
setting 0-1 variable n j,t For indicating whether the ratio of the frequency of the jth branch after fan frequency conversion to the frequency of the fan before fan frequency conversion is N j,t Expressed asT has a value of 1 to T j ；
Adopts the following calculation formula to pair n j,t Performing value limiting:
after discretization, the j branch is the ratio N of the frequency of the fan branch after fan frequency conversion to the frequency of the fan before frequency conversion j The following formula is adopted instead:
to avoid the occurrence of nonlinear terms, the intermediate 0-1 variable n is reintroduced jkt And satisfies:
q in j The air quantity of the j-th branch is the air quantity of the fan branch; n is n j,k,t ＝n j,k n j,t ；
At the same time, the intermediate 0-1 variable n j,k,t The method meets the following conditions:
for all variables representing the air quantity, discretizing is carried out by adopting the following steps:
at q j Represents the air volume of the j-th branch, and q is set j The range of the values is as followsWherein->Air quantity q of jth branch j K of (2) j Taking values; />Are set values;
setting 0-1 variable n j,k For indicating whether the air quantity of the j-th branch takes the value q j,k Expressed asK has a value of 1 to K j ；
Adopts the following calculation formula to pair n j,k Performing value limiting:
after discretization, the air quantity q of the j-th branch j According to the arithmeticAnd substituting.
The solving of the device regulation mathematical model constructed in the step S4 in the step S5 specifically comprises the following steps:
decision variables in the model are set to n j,w 、n j,t And n j,k The method comprises the steps of carrying out a first treatment on the surface of the The auxiliary decision variable in the model is set to n j,k,w 、n j,k,t 、q j 、/>qe i 、/>And he i ；
And (3) solving the equipment regulation mathematical model constructed in the step (S4) by adopting a solving method aiming at the linear mixed integer programming model.
The invention also provides a system for realizing the intelligent control method of the mine ventilation system based on equipment regulation and control, which comprises a data acquisition module, a network construction module, a parameter setting module, a model construction module, a model solving module and a system control module; the data acquisition module is used for acquiring real-time data information of the target mine ventilation system and uploading the information to the network construction module; the network construction module is used for constructing a mine ventilation network model of the target mine ventilation system according to the received data information and uploading the information to the parameter setting module; the parameter setting module is used for setting a wind point and corresponding wind quantity in the model according to the received data information, and uploading the information to the model construction module; the model construction module is used for constructing an equipment regulation mathematical model of the target mine ventilation system according to the received data information, and uploading the information to the model solving module; the model solving module is used for solving the constructed device regulation mathematical model according to the received data information to obtain a corresponding device regulation scheme, and uploading the information to the system control module; the system control module is used for realizing the control of the mine ventilation system based on the equipment regulation according to the received data information and the obtained equipment regulation scheme.
The intelligent control method and the system for the mine ventilation system based on equipment regulation, provided by the invention, construct an intelligent air quantity regulation linear solving model, have the characteristics of high efficiency, stability and suitability for large-scale solving, can automatically regulate and control any complicated ventilation network, and are high in reliability, good in accuracy and good in effect.
Drawings
FIG. 1 is a schematic flow chart of the method of the present invention.
FIG. 2 is a schematic diagram of functional modules of the system of the present invention.
Detailed Description
The intelligent control method for the mine ventilation system based on equipment regulation provided by the invention comprises the following steps:
s1, acquiring real-time data information of a target mine ventilation system;
s2, constructing a mine ventilation network model of the target mine ventilation system according to the data information acquired in the step S1; the method specifically comprises the following steps:
determining basic parameters of the ventilation network and the initial state of the ventilation network according to the data information obtained in the step S1 and based on the data of the latest underground ventilation resistance measurement and the corresponding ventilation equipment state; the basic parameters of the ventilation network comprise ventilation tunnel wind resistance, section parameters and the like;
correcting the wind resistance parameter to ensure that the error between the calculation result of the ventilation network and the underground actual wind distribution state is within a set range; the ventilation network calculation result comprises a roadway air quantity distribution value and the like;
determining the initial state of each device in the target mine ventilation system according to the regulation and control state of the current underground device; the initial state of each device comprises the current opening of each wind window and the current running frequency of each fan;
branches in the method can be divided into fan branches, wind window branches and general branches according to the type of installation equipment; according to the ventilation requirement, the air distribution system can be divided into an on-demand air distribution branch and an off-demand air distribution branch;
s3, setting air points and corresponding air quantity in the model according to the model constructed in the step S2; the method specifically comprises the following steps:
setting a wind-requiring point: determining a wind demand point and a wind demand type according to the wind demand of an underground operation site, and setting a branch corresponding to the wind demand point as a wind demand branch in a constructed mine ventilation network model;
and (5) calculating the required air quantity: according to the set wind-demand point positions and the corresponding wind-demand types, collecting the environmental parameters of the wind-demand point positions, and calculating the wind-demand quantity of each wind-demand point; according to the position of the wind-requiring point and the wind-requiring type, the wind-requiring quantity of the wind-requiring point is calculated according to the wind-requiring quantity calculation rule by combining the environmental parameters such as the temperature of the position, personnel, gas, blasting and the like;
s4, constructing an equipment regulation mathematical model of the target mine ventilation system according to the data information obtained in the step S3;
in specific implementation, the following formula is adopted as an objective function of an equipment regulation mathematical model of the target mine ventilation system:
wherein Z is an objective function value; omega i The weight coefficient of the ith regulation target; z i Is the ith regulation target;
the 1 st regulation target is a ventilation fan power target and is expressed by the following formula:
z in 1 Is the power target value of the ventilation fan; f is allA collection of fan branches; q f,j The air quantity of the fan is the j-th branch, and the branch is the air quantity of the fan; h is a f,j The air pressure of the fan is the j-th branch, and the branch is the air pressure of the fan;
the 2 nd regulation target is an on-demand ventilation demand target and is represented by the following formula:
z in 2 Is a ventilation demand target value on demand; n (N) d The method comprises the steps of dividing wind branches into a set of all on-demand branches;is the j-th branch and the branch is the upper limit deviation of the on-demand wind-dividing range of the on-demand wind-dividing branch, and satisfies +.>q j Is the air quantity of the j-th branch which is the air quantity of the air-splitting branch according to the requirement, q j,max The j branch is the upper limit of the allowable air quantity of the air-splitting branch according to the requirement; q j Is the j-th branch and the branch is the lower limit deviation of the on-demand wind-splitting range of the on-demand wind-splitting branch, and meetsq j,min Is the j-th branch, the branch is the lower limit of the allowable air quantity of the air-splitting branch according to the requirement, q j,max ≥q j,min ＞0；
The 3 rd regulation target is an unbalanced air volume value target and is expressed by the following formula:
z in 3 Is an unbalanced air quantity value target value; j is the node number of the mine ventilation network model;upper limit deviation of unbalanced air quantity value for ith node, +.> i qeIs the unbalanced air quantity value lower limit deviation amount of the ith node, i qenot less than 0; weight value omega corresponding to unbalanced air quantity value target 3 A larger value should be taken;
the 4 th regulation target is an unbalanced wind pressure value target and is expressed by the following formula:
z in 4 Is an unbalanced wind pressure value target value; m is the number of independent loops of the mine ventilation network model, m=n-j+1, N is the number of branches of the mine ventilation network model;is the upper limit deviation of the unbalanced wind pressure value of the ith independent loop, i heis the lower limit deviation of the unbalanced wind pressure value of the ith independent loop, i henot less than 0; weight value omega corresponding to unbalanced wind pressure value target 4 A larger value should be taken;
the following formula is adopted as constraint condition:
air quantity balance constraint:
the ventilation network air volume adjustment scheme must meet the node air volume balance condition, namely, in the mine ventilation network model, the algebraic sum of the air volumes of all branches flowing into and flowing out of any node is zero, which is expressed as:
q in j Is the j th itemBranched air quantity; a, a ij Is the relation variable between the ith node and the jth branch, and
wind pressure balance constraint:
the ventilation network air quantity regulation scheme must meet the loop air pressure balance condition, namely, in a mine ventilation network model, the algebraic sum of the air pressures of all branches in any loop is zero, which is expressed as:
h in j Is the algebraic sum of the wind pressures of the j-th branch, and h j ＝r j (q j ) 2 -h f,j -h N,j ，r j Wind resistance of the j-th branch, r j ＝r l,j +r w,j ，r l,j The windage of the tunnel of the j branch, r w,j Equivalent wind resistance of corresponding wind window of jth branch, h f,j Wind pressure of fan of jth branch, h N,j Natural wind pressure of jth branch, b ij As a relation variable between the i-th independent loop and the j-th branch,
wind window opening regulation and control constraint:
since the equivalent wind resistances of the roadways formed by different types of wind windows are inconsistent, the regulation and control of the wind windows are required to be determined by combining specific equipment types; all types of ventilation structures with wind windows and wind resistance adjustment types are converted into equivalent wind resistance of a roadway and used for restraining air quantity control; directly attaching the converted roadway equivalent wind resistance to the corresponding roadway wind resistance;
taking the regulation and control of a shutter window of a specific type as an example, determining the opening of the shutter window, the corresponding shutter window and the like through actual measurement or simulation and the likeThe relation of effective windage, expressed as r w,j ＝f w (θ j ) Wherein f w () The calculation function relation of roadway wind resistance corresponding to different openings of the wind window is determined according to modes of actual measurement or simulation and the like by combining actual conditions; θ j A louver opening degree which is the j-th branch and the branch is a louver branch;
window opening range constraint:
θ j,min ≤θ j ≤θ j,max
in theta j A louver opening degree which is the j-th branch and the branch is a louver branch; θ j,min A window opening lower limit value which is the j-th branch and is the window branch; θ j,max A window opening upper limit value which is the j-th branch and is the window branch;
for the set wind window which does not allow regulation and control, setting the value range of the wind window opening as the current opening of the wind window;
fan frequency conversion regulation and control constraint:
h f,j ＝a j,0 (N j ) 2 +a j,1 q f,j N j +a j,2 (q f,j ) 2
in which a is j,0 Fitting a first coefficient for a fan characteristic curve of a jth branch before frequency conversion, wherein the jth branch is a fan branch; a, a j,1 Fitting a second coefficient for a fan characteristic curve of a jth branch before frequency conversion, wherein the jth branch is a fan branch; a, a j,2 Fitting a third coefficient for a fan characteristic curve of the j-th branch before frequency conversion, wherein the j-th branch is a fan branch; q f,j The variable frequency is the j-th branch and the branch is the fan air quantity of the fan branch; n (N) j The frequency of the jth branch is the ratio of the frequency of the fan branch after fan frequency conversion to the frequency of the fan before frequency conversion;
fan frequency conversion range constraint:
Hz j,min ≤Hz j ≤Hz j,max
intermediate Hz j Fan frequency for the j-th branch and the fan branch; hz (Hz) j,min Is the j-th branch and the branch is the fan branchA lower limit value of fan frequency; hz (Hz) j,max A fan frequency upper limit value which is the j-th branch and is the fan branch;
for a set fan which does not allow frequency conversion, directly limiting the fan frequency value range to the current running frequency of the fan;
wind pressure constraint for fan operation:
h f,j,min ≤h f,j ≤h f,j,max
h in f,j,min A fan wind pressure lower limit value of the jth branch, wherein the j branch is a fan branch; h is a f,j,max A fan wind pressure upper limit value of the jth branch, wherein the j branch is a fan branch;
and (3) fan operation air quantity constraint:
q f,j,min ≤q f,j ≤q f,j,max
q in f,j,min A lower limit value of the air quantity of the fan, q, which is the j-th branch and is the fan branch f,j,min ≥0；q f,j,max A fan air quantity upper limit value q of the jth branch which is a fan branch f,j,max ≥q f,j,min ≥0；
S5, solving the equipment regulation mathematical model constructed in the step S4 to obtain a corresponding equipment regulation scheme;
before solving, discretizing a wind window opening variable, a fan frequency ratio variable and all variables representing air quantity;
discretizing a wind window opening variable:
setting a window opening variable theta of the jth branch, which is a window branch j The range of the values is as followsA louver opening variable θ that is the jth branch and the branch is the louver branch j W of (2) j The value of->Are set values;
setting 0-1 variable n j,w For use inWhether or not the opening degree of the louver indicating the jth branch and the branch being the louver branch takes the value θ j,w And (2) andw has a value of 1 to W j ；
Adopts the following calculation formula to pair n j,w Performing value limiting:
after discretization, the wind window opening variable theta j The following formula is adopted instead:
to avoid the occurrence of nonlinear terms, the intermediate 0-1 variable n is reintroduced j,k,w And satisfies:
q in j The j branch is the air quantity of the air window branch; f (f) w (θ j ) A j-th branch is a functional relationship between the opening of the wind window branch and the wind resistance of the roadway; n is n j,k,w Satisfy n j,k,w ＝n j,k n j,w ；
At the same time, the intermediate 0-1 variable n j,k,w The method meets the following conditions:
for the traditional wind window structure regulated and controlled according to the opening area, discretization treatment can be carried out on the opening area of the wind window by adopting the same scheme;
discretizing a fan frequency ratio variable:
setting the j branch which is the ratio N of the frequency of the fan branch after fan frequency conversion to the frequency of the fan before frequency conversion j The range of the values is as followsIs the j branch and is the ratio N of the frequency of the fan branch after fan frequency conversion to the frequency of the fan before frequency conversion j T of (5) j Taking values; />Are set values;
setting 0-1 variable n j,t For indicating whether the ratio of the frequency of the jth branch after fan frequency conversion to the frequency of the fan before fan frequency conversion is N j,t Expressed asT has a value of 1 to T j ；
Adopts the following calculation formula to pair n j,t Performing value limiting:
after discretization, the j branch is the ratio N of the frequency of the fan branch after fan frequency conversion to the frequency of the fan before frequency conversion j The following formula is adopted instead:
to avoid the occurrence of nonlinear terms, the intermediate 0-1 variable n is reintroduced j,k,t And satisfies:
q in j The air quantity of the j-th branch is the air quantity of the fan branch; n is n j,k,t ＝n j,k n j,t ；
At the same time, the intermediate 0-1 variable n j,k,t The method meets the following conditions:
for all variables representing the air quantity, discretizing is carried out by adopting the following steps:
at q j Represents the air volume of the j-th branch, and q is set j The range of the values is as followsWherein->Air quantity q of jth branch j K of (2) j Taking values; />Are set values;
setting 0-1 variable n j,k For indicating whether the air quantity of the j-th branch takes the value q j,k Expressed asK has a value of 1 to K j ；
Adopts the following calculation formula to pair n j,k Performing value limiting:
after discretization, the air quantity q of the j-th branch j According to the arithmeticReplacing;
decision in model when solvingThe variable is set as n j,w 、n j,t And n j,k The method comprises the steps of carrying out a first treatment on the surface of the The auxiliary decision variable in the model is set to n j,k,w 、n j,k,t 、q j 、/>qe i 、/>And he i The method comprises the steps of carrying out a first treatment on the surface of the The method comprises the steps of carrying out a first treatment on the surface of the After discretization, the objective function and the constraint condition are both linear functions, and the corresponding mathematical model is converted into a linear mixed integer programming model;
solving the equipment regulation mathematical model constructed in the step S4 by adopting a solving method (such as a branch-and-bound method) aiming at the linear mixed integer programming model;
s6, according to the equipment regulation and control scheme obtained in the step S5, control of the mine ventilation system based on equipment regulation and control is achieved.
FIG. 2 is a schematic diagram of functional modules of the system of the present invention: the system for realizing the intelligent control method of the mine ventilation system based on equipment regulation comprises a data acquisition module, a network construction module, a parameter setting module, a model construction module, a model solving module and a system control module; the data acquisition module is used for acquiring real-time data information of the target mine ventilation system and uploading the information to the network construction module; the network construction module is used for constructing a mine ventilation network model of the target mine ventilation system according to the received data information and uploading the information to the parameter setting module; the parameter setting module is used for setting a wind point and corresponding wind quantity in the model according to the received data information, and uploading the information to the model construction module; the model construction module is used for constructing an equipment regulation mathematical model of the target mine ventilation system according to the received data information, and uploading the information to the model solving module; the model solving module is used for solving the constructed device regulation mathematical model according to the received data information to obtain a corresponding device regulation scheme, and uploading the information to the system control module; the system control module is used for realizing the control of the mine ventilation system based on the equipment regulation according to the received data information and the obtained equipment regulation scheme.

Claims (8)

1. An intelligent control method of a mine ventilation system based on equipment regulation and control comprises the following steps:
s1, acquiring real-time data information of a target mine ventilation system;
s2, constructing a mine ventilation network model of the target mine ventilation system according to the data information acquired in the step S1;
s3, setting air points and corresponding air quantity in the model according to the model constructed in the step S2;
s4, constructing an equipment regulation mathematical model of the target mine ventilation system according to the data information obtained in the step S3;
s5, solving the equipment regulation mathematical model constructed in the step S4 to obtain a corresponding equipment regulation scheme;
s6, according to the equipment regulation and control scheme obtained in the step S5, control of the mine ventilation system based on equipment regulation and control is achieved.
2. The intelligent control method for the mine ventilation system based on equipment regulation and control according to claim 1, wherein the mine ventilation network model of the target mine ventilation system is constructed according to the data information acquired in step S1 in step S2, and specifically comprises the following steps:
determining basic parameters of the ventilation network and the initial state of the ventilation network according to the data information obtained in the step S1 and based on the data of the latest underground ventilation resistance measurement and the corresponding ventilation equipment state; the basic parameters of the ventilation network comprise ventilation tunnel wind resistance and section parameters;
correcting the wind resistance parameter to ensure that the error between the calculation result of the ventilation network and the underground actual wind distribution state is within a set range; the ventilation network calculation result comprises a roadway air quantity distribution value;
determining the initial state of each device in the target mine ventilation system according to the regulation and control state of the current underground device; the initial state of each device comprises the current opening degree of each wind window and the current operating frequency of each fan.
3. The intelligent control method for the mine ventilation system based on equipment regulation and control according to claim 2, wherein the model constructed according to step S2 in step S3 is provided with a required wind point and a corresponding required wind volume in the model, and specifically comprises the following steps:
setting a wind-requiring point: determining a wind demand point and a wind demand type according to the wind demand of an underground operation site, and setting a branch corresponding to the wind demand point as a wind demand branch in a constructed mine ventilation network model;
and (5) calculating the required air quantity: and according to the set wind-demand point positions and the corresponding wind-demand types, collecting the environmental parameters of the wind-demand point positions, and calculating the wind-demand quantity of each wind-demand point.
4. The intelligent control method for the mine ventilation system based on equipment regulation and control according to claim 3, wherein the data information obtained in step S3 in step S4 is used for constructing an equipment regulation and control mathematical model of the target mine ventilation system, and specifically comprises the following steps:
the following formula is adopted as an objective function of an equipment regulation mathematical model of the target mine ventilation system:
wherein Z is an objective function value; omega i The weight coefficient of the ith regulation target; z i Is the ith regulation target;
the 1 st regulation target is a ventilation fan power target and is expressed by the following formula:
z in 1 Is the power target value of the ventilation fan; f is the collection of all fan branches; q f,j The air quantity of the fan is the j-th branch, and the branch is the air quantity of the fan; h is a f,j The air pressure of the fan is the j-th branch, and the branch is the air pressure of the fan;
the 2 nd regulation target is an on-demand ventilation demand target and is represented by the following formula:
z in 2 Is a ventilation demand target value on demand; n (N) d The method comprises the steps of dividing wind branches into a set of all on-demand branches;is the j-th branch and the branch is the upper limit deviation of the on-demand wind-dividing range of the on-demand wind-dividing branch, and satisfies +.>q j Is the air quantity of the j-th branch which is the air quantity of the air-splitting branch according to the requirement, q j,max The j branch is the upper limit of the allowable air quantity of the air-splitting branch according to the requirement; q j Is the j-th branch and the branch is the lower limit deviation of the on-demand wind-splitting range of the on-demand wind-splitting branch, and meetsq j,min Is the j-th branch, the branch is the lower limit of the allowable air quantity of the air-splitting branch according to the requirement, q j,max ≥q j,min ＞0；
The 3 rd regulation target is an unbalanced air volume value target and is expressed by the following formula:
z in 3 Is an unbalanced air quantity value target value; j is the node number of the mine ventilation network model;upper limit deviation of unbalanced air quantity value for ith node, +.> i qeIs the unbalanced air quantity value lower limit deviation amount of the ith node, i qe≥0；
the 4 th regulation target is an unbalanced wind pressure value target and is expressed by the following formula:
z in 4 Is an unbalanced wind pressure value target value; m is the number of independent loops of the mine ventilation network model, m=n-j+1, N is the number of branches of the mine ventilation network model;for the upper limit deviation of unbalanced wind pressure value of the ith independent loop, +.> i heIs the lower limit deviation of the unbalanced wind pressure value of the ith independent loop, i he≥0。
5. the intelligent control method for the mine ventilation system based on equipment regulation and control according to claim 4, wherein the data information obtained in step S3 in step S4 is used for constructing an equipment regulation and control mathematical model of the target mine ventilation system, and specifically comprises the following steps:
the following formula is adopted as constraint condition:
air quantity balance constraint:
in the mine ventilation network model, algebraic sum of air quantity of each branch flowing into and flowing out of any node is zero, and the algebraic sum is expressed as:
q in j The air quantity of the j-th branch; a, a ij Is the relation variable between the ith node and the jth branch, and
wind pressure balance constraint:
in the mine ventilation network model, the algebraic sum of the wind pressures of all branches in any loop is zero, and the algebraic sum is expressed as:
h in j Is the algebraic sum of the wind pressures of the j-th branch, and h j ＝r j (q j ) 2 -h f,j -h N,j ，r j Wind resistance of the j-th branch, r j ＝r l,j +r w,j ，r l,j The windage of the tunnel of the j branch, r w,j Equivalent wind resistance of corresponding wind window of jth branch, h f,j Wind pressure of fan of jth branch, h N,j Natural wind pressure of jth branch, b ij As a relation variable between the i-th independent loop and the j-th branch,
wind window opening regulation and control constraint:
all types of ventilation structures with wind windows and wind resistance adjustment types are converted into equivalent wind resistance of a roadway and used for restraining air quantity control;
directly attaching the converted roadway equivalent wind resistance to the corresponding roadway wind resistance;
window opening range constraint:
θ j,min ≤θ j ≤θ j,max
in theta j A louver opening degree which is the j-th branch and the branch is a louver branch; θ j,min A window opening lower limit value which is the j-th branch and is the window branch; θ j,max A window opening upper limit value which is the j-th branch and is the window branch;
for the set wind window which does not allow regulation and control, setting the value range of the wind window opening as the current opening of the wind window;
fan frequency conversion regulation and control constraint:
h f,j ＝a j,0 (N j ) 2 +a j,1 q f,j N j +a j,2 (q f,j ) 2
in which a is j,0 Fitting a first coefficient for a fan characteristic curve of a jth branch before frequency conversion, wherein the jth branch is a fan branch; a, a j,1 Fitting a second coefficient for a fan characteristic curve of a jth branch before frequency conversion, wherein the jth branch is a fan branch; a, a j,2 Fitting a third coefficient for a fan characteristic curve of the j-th branch before frequency conversion, wherein the j-th branch is a fan branch; q f,j The variable frequency is the j-th branch and the branch is the fan air quantity of the fan branch; n (N) j The frequency of the jth branch is the ratio of the frequency of the fan branch after fan frequency conversion to the frequency of the fan before frequency conversion;
fan frequency conversion range constraint:
Hz j,min ≤Hz j ≤Hz j,max
intermediate Hz j Fan frequency for the j-th branch and the fan branch; hz (Hz) j,min A fan frequency lower limit value which is the j-th branch and is the fan branch; hz (Hz) j,max A fan frequency upper limit value which is the j-th branch and is the fan branch;
for a set fan which does not allow frequency conversion, directly limiting the fan frequency value range to the current running frequency of the fan;
wind pressure constraint for fan operation:
h f,j,min ≤h f,j ≤h f,j,max
h in f,j,min A fan wind pressure lower limit value of the jth branch, wherein the j branch is a fan branch; h is a f,j,max A fan wind pressure upper limit value of the jth branch, wherein the j branch is a fan branch;
and (3) fan operation air quantity constraint:
q f,j,min ≤q f,j ≤q f,j,max
q in f,j,min A lower limit value of the air quantity of the fan, q, which is the j-th branch and is the fan branch f,j,min ≥0；q f,j,max A fan air quantity upper limit value q of the jth branch which is a fan branch f,j,max ≥q f,j,min ≥0。
6. The intelligent control method for the mine ventilation system based on equipment regulation and control according to claim 5, wherein the solving of the equipment regulation and control mathematical model constructed in the step S4 in the step S5 specifically comprises the following steps:
before solving, discretizing a wind window opening variable, a fan frequency ratio variable and all variables representing air quantity;
discretizing a wind window opening variable:
setting a window opening variable theta of the jth branch, which is a window branch j The range of the values is as follows A louver opening variable θ that is the jth branch and the branch is the louver branch j W of (2) j The value of->Are set values;
setting 0-1 variable n j,w Whether or not the opening degree of the louver, which represents the jth branch and is the louver branch, takes a value of θ j,w And (2) andw has a value of 1 to W j ；
Adopts the following calculation formula to pair n j,w Performing value limiting:
after discretization, the wind window opening variable theta j The following formula is adopted instead:
to avoid the occurrence of nonlinear terms, the intermediate 0-1 variable n is reintroduced j,k,w And satisfies:
q in j The j branch is the air quantity of the air window branch; f (f) w (θ j ) A j-th branch is a functional relationship between the opening of the wind window branch and the wind resistance of the roadway; n is n j,k,w Satisfy n j,k,w ＝n j,k n j,w ；
At the same time, the intermediate 0-1 variable n j,k,w The method meets the following conditions:
discretizing a fan frequency ratio variable:
setting the j branch which is the ratio N of the frequency of the fan branch after fan frequency conversion to the frequency of the fan before frequency conversion j The range of the values is as follows Is the j branch and is the ratio N of the frequency of the fan branch after fan frequency conversion to the frequency of the fan before frequency conversion j T of (5) j Taking values; />Are set values;
setting 0-1 variable n j,t For indicating whether the ratio of the frequency of the jth branch after fan frequency conversion to the frequency of the fan before fan frequency conversion is N j,t Expressed asT has a value of 1 to T j ；
Adopts the following calculation formula to pair n j,t Performing value limiting:
after discretization, the j branch is the ratio N of the frequency of the fan branch after fan frequency conversion to the frequency of the fan before frequency conversion j The following formula is adopted instead:
to avoid the occurrence of nonlinear terms, the intermediate 0-1 variable n is reintroduced j,k,t And satisfies:
q in j The air quantity of the j-th branch is the air quantity of the fan branch; n is n j,k,t ＝n j,k n j,t ；
At the same time, the intermediate 0-1 variable n j,k,t The method meets the following conditions:
for all variables representing the air quantity, discretizing is carried out by adopting the following steps:
at q j Represents the air volume of the j-th branch, and q is set j The range of the values is as followsWherein->Air quantity q of jth branch j K of (2) j Taking values; />Are set values;
setting 0-1 variable n j,k For indicating whether the air quantity of the j-th branch takes the value q j,k Expressed asK has a value of 1 to K j ；
Adopts the following calculation formula to pair n j,k Performing value limiting:
after discretization, the firstAir quantity q of j branches j According to the arithmeticAnd substituting.
7. The intelligent control method for the mine ventilation system based on equipment regulation and control according to claim 6, wherein the solving of the equipment regulation and control mathematical model constructed in the step S4 in the step S5 specifically comprises the following steps:
decision variables in the model are set to n j,w 、n j,t And n j,k The method comprises the steps of carrying out a first treatment on the surface of the The auxiliary decision variable in the model is set to n j,k,w 、n j,k,t 、q j 、/>qe i 、/>And he i ；
And (3) solving the equipment regulation mathematical model constructed in the step (S4) by adopting a solving method aiming at the linear mixed integer programming model.
8. A system for realizing the intelligent control method of the mine ventilation system based on equipment regulation and control according to one of claims 1 to 7, which is characterized by comprising a data acquisition module, a network construction module, a parameter setting module, a model construction module, a model solving module and a system control module; the data acquisition module is used for acquiring real-time data information of the target mine ventilation system and uploading the information to the network construction module; the network construction module is used for constructing a mine ventilation network model of the target mine ventilation system according to the received data information and uploading the information to the parameter setting module; the parameter setting module is used for setting a wind point and corresponding wind quantity in the model according to the received data information, and uploading the information to the model construction module; the model construction module is used for constructing an equipment regulation mathematical model of the target mine ventilation system according to the received data information, and uploading the information to the model solving module; the model solving module is used for solving the constructed device regulation mathematical model according to the received data information to obtain a corresponding device regulation scheme, and uploading the information to the system control module; the system control module is used for realizing the control of the mine ventilation system based on the equipment regulation according to the received data information and the obtained equipment regulation scheme.
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