CN112797441A - Method and device for regulating and controlling gas-fired boiler - Google Patents
Method and device for regulating and controlling gas-fired boiler Download PDFInfo
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- CN112797441A CN112797441A CN202110066459.1A CN202110066459A CN112797441A CN 112797441 A CN112797441 A CN 112797441A CN 202110066459 A CN202110066459 A CN 202110066459A CN 112797441 A CN112797441 A CN 112797441A
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F23—COMBUSTION APPARATUS; COMBUSTION PROCESSES
- F23N—REGULATING OR CONTROLLING COMBUSTION
- F23N5/00—Systems for controlling combustion
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F23—COMBUSTION APPARATUS; COMBUSTION PROCESSES
- F23N—REGULATING OR CONTROLLING COMBUSTION
- F23N2223/00—Signal processing; Details thereof
- F23N2223/10—Correlation
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F23—COMBUSTION APPARATUS; COMBUSTION PROCESSES
- F23N—REGULATING OR CONTROLLING COMBUSTION
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- F23N2223/48—Learning / Adaptive control
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Abstract
The invention provides a method and a device for regulating and controlling a gas-fired boiler, wherein the method comprises the following steps: according to the operation data of the gas boiler in each historical time stage, a data model of the gas boiler is constructed, and the area of a primary air blower and the area of a secondary air blower of the gas boiler and the application area of a gas inlet of the boiler are obtained; respectively determining the wind speeds of a primary air blower, a secondary air blower and a fuel gas inlet of the gas boiler according to the fuel gas flow; establishing a combustion efficiency prediction model and training by using the temperature value of the corresponding gas-fired boiler at the current wind speed; calling a combustion efficiency model, predicting the combustion efficiency of the gas boiler in the current time period, acquiring the wind speeds of a primary air blower, a secondary air blower and a gas inlet under the current combustion efficiency value according to the combustion efficiency value based on a back-pushing method, and regulating and controlling the temperature uniformity of the gas boiler by adopting the wind speeds of the primary air blower, the secondary air blower and the gas inlet of the gas boiler.
Description
Technical Field
The invention relates to the field of energy, in particular to a method and a device for regulating and controlling a gas boiler.
Background
At present, the household gas boiler has certain market demand in the north of China; when the existing gas boiler is used, the water temperature can rise rapidly, the heating temperature in a heating pipeline is further influenced, and the indoor temperature of a user is further gradually increased, so that the indoor optimal heating temperature value is influenced, the feeding amount of gas cannot be controlled timely when the existing gas boiler works, and more importantly, fuel in a hearth of the gas boiler cannot be combusted sufficiently, so that the uniform degree of the temperature in the hearth is low, and the fuel is wasted; meanwhile, the water temperature in the boiler can also change greatly, which can cause scaling in the boiler and over-high or over-low local temperature of the water temperature; thereby reducing the operating efficiency of the gas boiler.
Disclosure of Invention
In order to solve the above problems, the present invention provides a method and an apparatus for regulating a gas boiler, the method comprising:
the method comprises the steps that a data model of the gas boiler is built according to operation data of the gas boiler in each historical time stage, and the area of a primary air blower air port, the area of a secondary air blower air port and the application area of a gas inlet of the gas boiler are obtained based on the data model;
respectively determining the wind speed of a primary air blower of the gas boiler, the wind speed of a secondary air blower and the wind speed of a gas inlet of the gas boiler according to the area of the primary air blower wind port of the gas boiler, the area of the secondary air blower wind port, the application area of the gas inlet of the gas boiler and the gas flow;
establishing a combustion efficiency prediction model and training by utilizing the wind speed of a primary wind blower, the wind speed of a secondary wind blower, the wind speed of a gas inlet and the corresponding temperature value of the gas boiler at the current wind speed;
calling the trained combustion efficiency model, predicting the combustion efficiency of the gas boiler in the current time period, acquiring the wind speed of a primary air blower, the wind speed of a secondary air blower and the wind speed of a gas inlet under the current combustion efficiency value according to the combustion efficiency value based on a back-pushing method, and regulating and controlling the temperature uniformity of the gas boiler by adopting the wind speed of the primary air blower, the wind speed of the secondary air blower and the wind speed of the gas inlet of the gas boiler.
Further, the method for constructing the data model of the gas boiler according to the operation data of the gas boiler in each historical time stage includes the steps of obtaining the area of the primary air blower air port, the area of the secondary air blower air port and the application area of the gas inlet of the gas boiler based on the data model, and includes the following steps:
acquiring operation data of the gas-fired boiler in each historical time stage, and constructing the operation data into a data model;
classifying the operation data in the data model according to the type of the operation data, and generating a character string index for the class of the operation data;
and acquiring the area of a primary air blower air port, the area of a secondary air blower air port and the application area of a gas inlet of the gas boiler through different character string indexes.
Further, the determining the wind speed of the primary air blower of the gas boiler, the wind speed of the secondary air blower and the wind speed of the gas inlet respectively according to the area of the primary air blower wind port of the gas boiler, the area of the secondary air blower wind port, the application area of the gas inlet of the gas boiler and the gas flow rate comprises:
determining the air speed of a gas inlet of a gas boiler according to the application area and the gas flow of the gas inlet of the gas boiler, and determining the air demand according to the air speed of the gas inlet;
acquiring a proportional value of the wind speed of the primary air blower and the wind speed of the secondary air blower according to a data model of the gas boiler, and determining the percentage of the wind quantity of the primary air blower and the percentage of the wind quantity of the secondary air blower according to the acquired proportional value, the area of a wind port of the primary air blower and the area of a wind port of the secondary air blower;
acquiring the wind speed of a primary air blower and the wind speed of a secondary air blower according to the following formulas:
wherein, ViRepresents the wind speed of the ith air blower, Q represents the air demand, and lambdaiRepresenting the percentage of the air volume of the i-th air blower, SiRepresenting the area of the tuyere of the air blower i times.
Further, the method comprises the steps of establishing a combustion efficiency prediction model and training by using the wind speed of a primary air blower, the wind speed of a secondary air blower, the wind speed of a gas inlet of the gas boiler and the corresponding temperature value of the gas boiler at the current wind speed, wherein the training step comprises the following steps:
step A1, acquiring the wind speed of a primary air blower of a gas boiler, the wind speed of a secondary air blower, the wind speed of a gas inlet and the temperature value of the gas boiler corresponding to the current wind speed at a certain moment, taking the wind speed, the wind speed of a gas inlet and the temperature value as training data, acquiring real efficiency values corresponding to the training data, converting the training data into a data matrix X, wherein X is a matrix with m rows and 4 columns, m represents the number of samples, 4 columns respectively represent the wind speed of the primary air blower, the wind speed of the secondary air blower, the wind speed of the gas inlet and the temperature of the gas boiler, and converting the real efficiency values into a real label matrix Y, wherein Y is a matrix with m rows and 1 column, and the real label matrix Y corresponds to each row of the data matrix X one by one;
step A2, constructing a loss learning function J (theta ) of the data matrix X and the label matrix Y according to the following formula1)：
Wherein, Yi,1Representing the value of row i, column 1, X in the label matrix Yi,jRepresents the value of ith row and jth column of the data matrix X, and theta represents a weight matrix initialized to 0, wherein theta is a matrix with 4 rows and 1 column, and theta isj,1Represents the value of the weight matrix theta, j, row, column 11Representing the parameter value initialized to 0, ln represents a logarithmic function, and T represents a matrix transposition symbol;
step A3, determining the updated weight matrix theta and parameter value theta according to the following formula1：
Wherein θ' represents the updated weightHeavy matrix, θ1' represents the updated parameter value, alpha represents the learning rate, the initial value is 0.001,
representing a loss learning function J (theta )1) The initial weight matrix theta is subjected to partial derivation,
representing a loss learning function J (theta )1) For the initial parameter value theta1Making a partial derivative;
step A4, repeating the iteration from step A2 to step A3 until a preset condition is met, and ending the training of the combustion efficiency prediction model, wherein the preset condition is that a preset iteration number or a loss learning function J (theta ) is reached1) The value of (A) is 0.0001 or less.
Further, the calling of the combustion efficiency model predicts the combustion efficiency of the gas boiler in the current time period, and based on a back-pushing method, obtains the wind speed of a primary air blower, the wind speed of a secondary air blower and the wind speed of a gas inlet under the current combustion efficiency value according to the optimal combustion efficiency value, and adopts the wind speed of the primary air blower, the wind speed of the secondary air blower and the wind speed of the gas inlet of the gas boiler to regulate and control the temperature uniformity of the gas boiler, including:
acquiring the temperature value of the gas boiler corresponding to the primary air blower speed, the secondary air blower speed and the gas inlet air speed of the gas boiler in the current time period under the current air speed, and converting the data value into a data matrix K, wherein K is a matrix with 1 row and 4 columns, and performing model prediction on the combustion efficiency of the gas boiler in the current time period by using the following formula:
wherein eta represents the combustion efficiency of the gas boiler in the current time period, and the wind speed of the primary air blower, the wind speed of the secondary air blower and the wind speed of the gas inlet under the current combustion efficiency value are obtained according to the combustion efficiency value based on a back-pushing method;
the gas boiler adopts the wind speed of the acquired primary air blower and the wind speed of the acquired secondary air blower and the wind speed of a gas inlet to uniformly regulate and control the temperature of the gas boiler so as to meet the value of the combustion efficiency.
A regulation and control device for a gas boiler, comprising:
the data acquisition module is used for constructing a data model of the gas boiler according to the operation data of the gas boiler in each historical time stage, and acquiring the area of a primary air blower air port, the area of a secondary air blower air port and the application area of a gas inlet of the gas boiler based on the data model;
the air speed determining module is used for respectively determining the air speed of the primary air blower of the gas boiler, the air speed of the secondary air blower and the air speed of the gas inlet according to the area of the primary air blower air port of the gas boiler, the area of the secondary air blower air port, the application area of the gas inlet of the gas boiler and the gas flow;
the model building module is used for building a combustion efficiency prediction model and training by utilizing the wind speed of a primary wind blower, the wind speed of a secondary wind blower, the wind speed of a gas inlet and the corresponding temperature value of the gas boiler at the current wind speed;
and the boiler regulation and control module is used for calling the trained combustion efficiency model to predict the combustion efficiency of the gas boiler in the current time period, acquiring the wind speed of a primary air blower, the wind speed of a secondary air blower and the wind speed of a gas inlet under the current combustion efficiency value according to the combustion efficiency value based on a back-pushing method, and adopting the wind speed of the primary air blower of the gas boiler, the wind speed of the secondary air blower and the wind speed of the gas inlet to regulate and control the temperature uniformity of the gas boiler.
Further, the data acquisition module further comprises:
the construction unit is used for acquiring the operation data of the gas-fired boiler in each historical time stage and constructing the operation data into a data model;
the generating unit is used for classifying the operation data in the data model according to the type of the operation data and generating a character string index for the class of the operation data;
and the acquisition unit is used for acquiring the area of an air port of a primary air blower, the area of an air port of a secondary air blower and the application area of a gas inlet of the gas boiler through different character string indexes.
Further, the wind speed determination module further comprises:
the air quantity determining unit is used for determining the air speed of a gas inlet of the gas boiler according to the application area and the gas flow of the gas inlet of the gas boiler and determining the air demand according to the air speed of the gas inlet;
the percentage determining unit is used for acquiring a proportional value of the wind speed of the primary air blower and the wind speed of the secondary air blower according to a data model of the gas boiler, and determining the percentage of the wind volume of the primary air blower and the percentage of the wind volume of the secondary air blower according to the acquired proportional value, the area of a wind port of the primary air blower and the area of a wind port of the secondary air blower;
the calculating unit is used for acquiring the wind speed of the primary air blower and the wind speed of the secondary air blower according to the following formulas:
wherein, ViRepresents the wind speed of the ith air blower, Q represents the air demand, and lambdaiRepresenting the percentage of the air volume of the i-th air blower, SiRepresenting the area of the tuyere of the air blower i times.
Further, the specific steps of the model construction module for training the combustion efficiency prediction model are as follows:
step A1, acquiring the wind speed of a primary air blower of a gas boiler, the wind speed of a secondary air blower, the wind speed of a gas inlet and the temperature value of the gas boiler corresponding to the current wind speed at a certain moment, taking the wind speed, the wind speed of a gas inlet and the temperature value as training data, acquiring real efficiency values corresponding to the training data, converting the training data into a data matrix X, wherein X is a matrix with m rows and 4 columns, m represents the number of samples, 4 columns respectively represent the wind speed of the primary air blower, the wind speed of the secondary air blower, the wind speed of the gas inlet and the temperature of the gas boiler, converting the real efficiency values into real label matrices Y, Y is a matrix with m rows and 1 column, and the real label matrices Y and the data matrix X are in one-to-one correspondence with each row;
step A2, constructing a loss learning function J (theta ) of the data matrix X and the label matrix Y according to the following formula1)：
Wherein, Yi,1Representing the value of row i, column 1, X in the label matrix Yi,jRepresents the value of ith row and jth column of the data matrix X, and theta represents a weight matrix initialized to 0, wherein theta is a matrix with 4 rows and 1 column, and theta isj,1Represents the value of the weight matrix theta, j, row, column 11Representing the parameter value initialized to 0, ln represents a logarithmic function, and T represents a matrix transposition symbol;
step A3, determining the updated weight matrix theta and parameter value theta according to the following formula1：
Where θ' represents the updated weight matrix, θ1' represents the updated parameter value, alpha represents the learning rate, the initial value is 0.001,
representing a loss learning function J (theta )1) The initial weight matrix theta is subjected to partial derivation,
representing a loss learning function J (theta )1) For the initial parameter value theta1Making a partial derivative;
step A4, repeating the iteration from step A2 to step A3 until a preset condition is met, and ending the training of the combustion efficiency prediction model, wherein the preset condition is that a preset iteration number or a loss learning function J (theta ) is reached1) The value of (A) is 0.0001 or less.
Further, the boiler regulation and control module further comprises:
the combustion efficiency calculation unit is used for acquiring the temperature values of the gas boiler corresponding to the primary air blower speed, the secondary air blower speed and the gas inlet air speed of the gas boiler in the current time period under the current air speed, and converting the data values into a data matrix K, wherein K is a matrix with 1 row and 4 columns, and the combustion efficiency of the gas boiler in the current time period is predicted by using a model according to the following formula:
wherein eta represents the combustion efficiency of the gas boiler in the current time period, and the wind speed of the primary air blower, the wind speed of the secondary air blower and the wind speed of the gas inlet under the current combustion efficiency value are obtained according to the combustion efficiency value based on a back-pushing method;
and the regulating and controlling unit is used for uniformly regulating and controlling the temperature of the gas boiler by adopting the acquired wind speed of the primary air blower and the acquired wind speed of the secondary air blower and the gas inlet wind speed, so that the combustion efficiency value is met.
Compared with the prior art, the invention has the beneficial effects that: the invention provides a method and a device for regulating and controlling a gas-fired boiler, wherein the method comprises the following steps: the method comprises the steps that a data model of the gas boiler is built according to operation data of the gas boiler in each historical time stage, and the area of a primary air blower air port, the area of a secondary air blower air port and the application area of a gas inlet of the gas boiler are obtained based on the data model; respectively determining the wind speed of a primary air blower of the gas boiler, the wind speed of a secondary air blower and the wind speed of a gas inlet of the gas boiler according to the area of the primary air blower wind port of the gas boiler, the area of the secondary air blower wind port, the application area of the gas inlet of the gas boiler and the gas flow; establishing a combustion efficiency prediction model and training by utilizing the wind speed of a primary wind blower, the wind speed of a secondary wind blower, the wind speed of a gas inlet and the corresponding temperature value of the gas boiler at the current wind speed; calling the trained combustion efficiency model, predicting the combustion efficiency of the gas boiler in the current time period, acquiring the wind speed of a primary air blower, the wind speed of a secondary air blower and the wind speed of a gas inlet under the current combustion efficiency value according to the combustion efficiency value based on a back-pushing method, and adopting the wind speed of the primary air blower of the gas boiler, the wind speed of the secondary air blower and the wind speed of the gas inlet to regulate and control the temperature uniformity of the gas boiler, so that fuel can be sufficiently combusted, and the operating efficiency of the gas boiler is ensured.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings of the embodiments of the present invention will be briefly described below. Wherein the drawings are only for purposes of illustrating some embodiments of the invention and are not to be construed as limiting the invention to all embodiments thereof.
FIG. 1 is a flow chart of a method for regulating a gas boiler according to the present invention;
fig. 2 is a schematic structural view of a regulating device of a gas boiler according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1 and 2, the technical problem to be solved by the present invention is to provide a method for regulating a gas boiler, comprising:
s1, constructing a data model of the gas boiler according to the operation data of the gas boiler in each historical time stage, and acquiring the area of a primary air blower air port, the area of a secondary air blower air port and the application area of a gas inlet of the gas boiler based on the data model;
s2, respectively determining the wind speed of the primary air blower of the gas boiler, the wind speed of the secondary air blower and the wind speed of the gas inlet according to the area of the primary air blower wind port of the gas boiler, the area of the secondary air blower wind port, the application area of the gas inlet of the gas boiler and the gas flow;
s3, establishing a combustion efficiency prediction model and training by utilizing the wind speed of a primary wind blower, the wind speed of a secondary wind blower, the wind speed of a gas inlet and the corresponding temperature value of the gas boiler at the current wind speed;
and S4, calling the trained combustion efficiency model, predicting the combustion efficiency of the gas boiler in the current time period, acquiring the wind speed of a primary air blower, the wind speed of a secondary air blower and the wind speed of a gas inlet under the current combustion efficiency value according to the combustion efficiency value based on a back-pushing method, and regulating and controlling the temperature uniformity of the gas boiler by adopting the wind speed of the primary air blower, the wind speed of the secondary air blower and the wind speed of the gas inlet of the gas boiler.
According to the technical scheme, firstly, a data model of the gas boiler is constructed according to operation data of the gas boiler in each historical time stage, and the area of a primary air blower air port, the area of a secondary air blower air port and the application area of a gas inlet of the gas boiler are obtained based on the data model; secondly, respectively determining the wind speed of a primary air blower of the gas boiler, the wind speed of a secondary air blower and the wind speed of a gas inlet of the gas boiler according to the area of the primary air blower wind port of the gas boiler, the area of the secondary air blower wind port, the application area of the gas inlet of the gas boiler and the gas flow; then, establishing a combustion efficiency prediction model and training by utilizing the wind speed of a primary wind blower, the wind speed of a secondary wind blower, the wind speed of a gas inlet of the gas boiler and the corresponding temperature value of the gas boiler at the current wind speed; finally, calling the trained combustion efficiency model, predicting the combustion efficiency of the gas boiler in the current time period, acquiring the wind speed of a primary air blower, the wind speed of a secondary air blower and the wind speed of a gas inlet under the current combustion efficiency value according to the combustion efficiency value based on a back-pushing method, regulating and controlling the temperature uniformity of the gas boiler by adopting the wind speed of the primary air blower, the wind speed of the secondary air blower and the wind speed of the gas inlet of the gas boiler, so as to achieve the uniformity regulation and control of the gas boiler, fully burn the fuel in the gas boiler and improve the operating efficiency of the gas boiler The secondary air supply fan wind speed and the gas inlet wind speed are adopted, the primary air supply fan wind speed and the secondary air supply fan wind speed of the gas boiler and the gas inlet wind speed are right the temperature value of the gas boiler and then the gas boiler is regulated and controlled, so that blind regulation and control of workers are avoided, and regulation and control are more accurate.
In an embodiment of the present invention, the constructing a data model of the gas boiler according to the operation data of the gas boiler in each historical time period, and acquiring an area of a primary air blower air port, an area of a secondary air blower air port and an application area of a gas inlet of the gas boiler based on the data model includes:
acquiring operation data of the gas-fired boiler in each historical time stage, and constructing the operation data into a data model;
classifying the operation data in the data model according to the type of the operation data, and generating a character string index for the class of the operation data;
and acquiring the area of a primary air blower air port, the area of a secondary air blower air port and the application area of a gas inlet of the gas boiler through different character string indexes.
In the technical scheme, firstly, the operation data of the gas-fired boiler in each historical time stage is obtained, and the operation data is constructed into a data model; then, classifying the operation data in the data model according to the type of the operation data, and generating a character string index for the class of the operation data; finally, acquiring the area of an air port of a primary air blower, the area of an air port of a secondary air blower and the application area of a gas inlet of the gas boiler through different character string indexes; thereby reached the classification to the operating data, made things convenient for the staff to acquire data, searched through the character string index, then can demonstrate the data information that corresponds the classification automatically to improve the efficiency nature of acquiring data, the data that accord with preset the index of being convenient for more accurate looking for.
In an embodiment of the present invention, the determining the wind speed of the primary air blower, the wind speed of the secondary air blower, and the wind speed of the gas inlet of the gas boiler according to the area of the primary air blower wind port, the area of the secondary air blower wind port, the application area of the gas inlet of the gas boiler, and the gas flow rate respectively includes:
determining the air speed of a gas inlet of a gas boiler according to the application area and the gas flow of the gas inlet of the gas boiler, and determining the air demand according to the air speed of the gas inlet;
acquiring a proportional value of the wind speed of the primary air blower and the wind speed of the secondary air blower according to a data model of the gas boiler, and determining the percentage of the wind quantity of the primary air blower and the percentage of the wind quantity of the secondary air blower according to the acquired proportional value, the area of a wind port of the primary air blower and the area of a wind port of the secondary air blower;
acquiring the wind speed of a primary air blower and the wind speed of a secondary air blower according to the following formulas:
wherein, ViRepresents the wind speed of the ith air blower, Q represents the air demand, and lambdaiRepresenting the percentage of the air volume of the i-th air blower, SiRepresenting the area of the air inlet of the i-th air blower。
In the technical scheme, firstly, the air speed of a gas inlet of a gas boiler is determined according to the application area and the gas flow of the gas inlet of the gas boiler, and the air demand is determined according to the air speed of the gas inlet; secondly, acquiring a proportional value of the wind speed of the primary air blower and the wind speed of the secondary air blower according to a data model of the gas boiler, and determining the percentage of the wind quantity of the primary air blower and the percentage of the wind quantity of the secondary air blower according to the acquired proportional value, the area of a wind port of the primary air blower and the area of a wind port of the secondary air blower; finally, acquiring the wind speed of the primary air blower and the wind speed of the secondary air blower; thereby realized acquireing the wind speed of primary air blower and the wind speed of overgrate air blower in real time to can be accurate regulate and control the wind speed of primary air blower and the wind speed of overgrate air blower, thereby make the fuel in the boiler carry out the repeated combustion through regulating and controlling the wind speed, make the temperature evenly distributed in the boiler, guaranteed the efficiency of fuel boiler, thereby make the fuel boiler can better service, promoted the controllability of fuel boiler by a wide margin.
In an embodiment provided by the present invention, the method includes the steps of establishing a combustion efficiency prediction model and training by using the wind speed of the primary air blower, the wind speed of the secondary air blower, the wind speed of the gas inlet of the gas boiler, and the corresponding temperature value of the gas boiler at the current wind speed, wherein the training step includes:
step A1, acquiring the wind speed of a primary air blower of a gas boiler, the wind speed of a secondary air blower, the wind speed of a gas inlet and the temperature value of the gas boiler corresponding to the current wind speed at a certain moment, taking the wind speed, the wind speed of a gas inlet and the temperature value as training data, acquiring real efficiency values corresponding to the training data, converting the training data into a data matrix X, wherein X is a matrix with m rows and 4 columns, m represents the number of samples, 4 columns respectively represent the wind speed of the primary air blower, the wind speed of the secondary air blower, the wind speed of the gas inlet and the temperature of the gas boiler, and converting the real efficiency values into a real label matrix Y, wherein Y is a matrix with m rows and 1 column, and the real label matrix Y corresponds to each row of the data matrix X one by one;
step A2, constructing a loss learning function J (theta ) of the data matrix X and the label matrix Y according to the following formula1)：
Wherein, Yi,1Representing the value of row i, column 1, X in the label matrix Yi,jRepresents the value of ith row and jth column of the data matrix X, and theta represents a weight matrix initialized to 0, wherein theta is a matrix with 4 rows and 1 column, and theta isj,1Represents the value of the weight matrix theta, j, row, column 11Representing the parameter value initialized to 0, ln represents a logarithmic function, and T represents a matrix transposition symbol;
step A3, determining the updated weight matrix theta and parameter value theta according to the following formula1：
Where θ' represents the updated weight matrix, θ1' represents the updated parameter value, alpha represents the learning rate, the initial value is 0.001,
representing a loss learning function J (theta )1) The initial weight matrix theta is subjected to partial derivation,
representing a loss learning function J (theta )1) For the initial parameter value theta1Making a partial derivative;
step A4, repeating the iteration from step A2 to step A3 until a preset condition is met, and ending the training of the combustion efficiency prediction model, wherein the preset condition is that a preset iteration number or a loss learning function J (theta ) is reached1) The value of (A) is 0.0001 or less.
The established combustion efficiency prediction model is trained in the technical scheme, the wind speed of a primary air blower of the gas boiler, the wind speed of a secondary air blower, the wind speed of a gas inlet and the corresponding temperature value of the gas boiler at the current wind speed at a certain moment in the past are obtained and used as training data, so that the model learns the data characteristics in the training data, the training data are subjected to prediction fitting, the loss is calculated by using the real value and the predicted value, a loss learning function is established, reverse iteration derivation is carried out until the loss is reduced to a preset condition or the iteration times are met, overfitting of the combustion efficiency prediction model is avoided, the model is more accurately predicted, the actual condition is met, the model training efficiency is greatly improved by adopting a loss learning function mode, and the training time is saved.
In an embodiment of the present invention, the invoking the combustion efficiency model, predicting the combustion efficiency of the gas boiler in the current time period, obtaining the wind speed of the primary air blower, the wind speed of the secondary air blower, and the wind speed of the gas inlet under the current combustion efficiency value according to the optimal combustion efficiency value based on a back-pushing method, and adjusting and controlling the temperature uniformity of the gas boiler by using the wind speed of the primary air blower, the wind speed of the secondary air blower, and the wind speed of the gas inlet of the gas boiler includes:
acquiring the temperature value of the gas boiler corresponding to the primary air blower speed, the secondary air blower speed and the gas inlet air speed of the gas boiler in the current time period under the current air speed, and converting the data value into a data matrix K, wherein K is a matrix with 1 row and 4 columns, and performing model prediction on the combustion efficiency of the gas boiler in the current time period by using the following formula:
wherein eta represents the combustion efficiency of the gas boiler in the current time period, and the wind speed of the primary air blower, the wind speed of the secondary air blower and the wind speed of the gas inlet under the current combustion efficiency value are obtained according to the combustion efficiency value based on a back-pushing method;
the gas boiler adopts the wind speed of the acquired primary air blower and the wind speed of the acquired secondary air blower and the wind speed of a gas inlet to uniformly regulate and control the temperature of the gas boiler so as to meet the value of the combustion efficiency.
In the technical scheme, the wind speed of a primary air blower of the gas boiler, the wind speed of a secondary air blower and the temperature value of the gas boiler corresponding to the current wind speed of a gas inlet in the current time period are obtained, the combustion efficiency of the current time period is predicted by utilizing a trained combustion efficiency prediction model, the prediction result is more accurate by adopting the trained model, the past historical condition is met, the combustion efficiency is ensured, the predicted combustion efficiency value is obtained for multiple times, the preset combustion efficiency value provided by a user is based on, in order to meet the preset combustion efficiency value, the obtained wind speed of the primary air blower and the wind speed of the secondary air blower and the gas inlet wind speed are used for uniformly regulating and controlling the temperature of the gas boiler based on a back-pushing method, the method meets the combustion efficiency value provided by a user, is convenient for the user to use, can calculate index values of the wind speed of the primary air blower and the wind speed of the secondary air blower which need to be regulated and controlled and the gas inlet wind speed of the gas boiler according to a back-stepping method, uniformly regulates and controls the temperature of the gas boiler by referring to the index values, is convenient for the user to regulate and control, avoids the blind regulation and control of the user, and greatly embodies the thermal intelligent degree of the current combustion boiler.
A regulation and control device for a gas boiler, comprising:
the data acquisition module is used for constructing a data model of the gas boiler according to the operation data of the gas boiler in each historical time stage, and acquiring the area of a primary air blower air port, the area of a secondary air blower air port and the application area of a gas inlet of the gas boiler based on the data model;
the air speed determining module is used for respectively determining the air speed of the primary air blower of the gas boiler, the air speed of the secondary air blower and the air speed of the gas inlet according to the area of the primary air blower air port of the gas boiler, the area of the secondary air blower air port, the application area of the gas inlet of the gas boiler and the gas flow;
the model building module is used for building a combustion efficiency prediction model and training by utilizing the wind speed of a primary wind blower, the wind speed of a secondary wind blower, the wind speed of a gas inlet and the corresponding temperature value of the gas boiler at the current wind speed;
and the boiler regulation and control module is used for calling the trained combustion efficiency model to predict the combustion efficiency of the gas boiler in the current time period, acquiring the wind speed of a primary air blower, the wind speed of a secondary air blower and the wind speed of a gas inlet under the current combustion efficiency value according to the combustion efficiency value based on a back-pushing method, and adopting the wind speed of the primary air blower of the gas boiler, the wind speed of the secondary air blower and the wind speed of the gas inlet to regulate and control the temperature uniformity of the gas boiler.
According to the technical scheme, firstly, a data model of the gas boiler is constructed according to the operation data of the gas boiler in each historical time stage, and the area of a primary air blower air port, the area of a secondary air blower air port and the application area of a gas inlet of the gas boiler are obtained based on the data model; secondly, respectively determining the wind speed of a primary air blower of the gas boiler, the wind speed of a secondary air blower and the wind speed of a gas inlet of the gas boiler according to the area of the primary air blower wind port of the gas boiler, the area of the secondary air blower wind port, the application area of the gas inlet of the gas boiler and the gas flow; then, establishing a combustion efficiency prediction model and training by utilizing the wind speed of a primary wind blower, the wind speed of a secondary wind blower, the wind speed of a gas inlet of the gas boiler and the corresponding temperature value of the gas boiler at the current wind speed; finally, calling the trained combustion efficiency model, predicting the combustion efficiency of the gas boiler in the current time period, acquiring the wind speed of a primary air blower, the wind speed of a secondary air blower and the wind speed of a gas inlet under the current combustion efficiency value according to the combustion efficiency value based on a back-pushing method, regulating and controlling the temperature uniformity of the gas boiler by adopting the wind speed of the primary air blower, the wind speed of the secondary air blower and the wind speed of the gas inlet of the gas boiler, so as to achieve the uniformity regulation and control of the gas boiler, fully burn the fuel in the gas boiler and improve the operating efficiency of the gas boiler The secondary air supply fan wind speed and the gas inlet wind speed are adopted, the primary air supply fan wind speed and the secondary air supply fan wind speed of the gas boiler and the gas inlet wind speed are right the temperature value of the gas boiler and then the gas boiler is regulated and controlled, so that blind regulation and control of workers are avoided, and regulation and control are more accurate.
In an embodiment provided by the present invention, the data obtaining module further includes:
the construction unit is used for acquiring the operation data of the gas-fired boiler in each historical time stage and constructing the operation data into a data model;
the generating unit is used for classifying the operation data in the data model according to the type of the operation data and generating a character string index for the class of the operation data;
and the acquisition unit is used for acquiring the area of an air port of a primary air blower, the area of an air port of a secondary air blower and the application area of a gas inlet of the gas boiler through different character string indexes.
In the technical scheme, firstly, the operation data of the gas-fired boiler in each historical time stage is obtained, and the operation data is constructed into a data model; then, classifying the operation data in the data model according to the type of the operation data, and generating a character string index for the class of the operation data; finally, acquiring the area of an air port of a primary air blower, the area of an air port of a secondary air blower and the application area of a gas inlet of the gas boiler through different character string indexes; thereby reached the classification to the operating data, made things convenient for the staff to acquire data, searched through the character string index, then can demonstrate the data information that corresponds the classification automatically to improve the efficiency nature of acquiring data, the data that accord with preset the index of being convenient for more accurate looking for.
In one embodiment of the present invention, the wind speed determination module further comprises:
the air quantity determining unit is used for determining the air speed of a gas inlet of the gas boiler according to the application area and the gas flow of the gas inlet of the gas boiler and determining the air demand according to the air speed of the gas inlet;
the percentage determining unit is used for acquiring a proportional value of the wind speed of the primary air blower and the wind speed of the secondary air blower according to a data model of the gas boiler, and determining the percentage of the wind volume of the primary air blower and the percentage of the wind volume of the secondary air blower according to the acquired proportional value, the area of a wind port of the primary air blower and the area of a wind port of the secondary air blower;
the calculating unit is used for acquiring the wind speed of the primary air blower and the wind speed of the secondary air blower according to the following formulas:
wherein, ViRepresents the wind speed of the ith air blower, Q represents the air demand, and lambdaiRepresenting the percentage of the air volume of the i-th air blower, SiRepresenting the area of the tuyere of the air blower i times.
In the technical scheme, firstly, the air speed of a gas inlet of a gas boiler is determined according to the application area and the gas flow of the gas inlet of the gas boiler, and the air demand is determined according to the air speed of the gas inlet; secondly, acquiring a proportional value of the wind speed of the primary air blower and the wind speed of the secondary air blower according to a data model of the gas boiler, and determining the percentage of the wind quantity of the primary air blower and the percentage of the wind quantity of the secondary air blower according to the acquired proportional value, the area of a wind port of the primary air blower and the area of a wind port of the secondary air blower; finally, acquiring the wind speed of the primary air blower and the wind speed of the secondary air blower; thereby realized acquireing the wind speed of primary air blower and the wind speed of overgrate air blower in real time to can be accurate regulate and control the wind speed of primary air blower and the wind speed of overgrate air blower, thereby make the fuel in the boiler carry out the repeated combustion through regulating and controlling the wind speed, make the temperature evenly distributed in the boiler, guaranteed the efficiency of fuel boiler, thereby make the fuel boiler can better service, promoted the controllability of fuel boiler by a wide margin.
In an embodiment provided by the present invention, the specific steps of the model construction module for training the combustion efficiency prediction model are as follows:
step A1, acquiring the wind speed of a primary air blower, the wind speed of a secondary air blower, the wind speed of a gas inlet and the temperature value of the gas boiler corresponding to the current wind speed of the gas boiler at a certain moment in the past as training data, acquiring a real efficiency value corresponding to the training data, converting the training data into a data matrix X, wherein X is a matrix with m rows and 4 columns, m represents the number of samples, 4 columns respectively represent the wind speed of the primary air blower, the wind speed of the secondary air blower, the wind speed of the gas inlet and the temperature of the gas boiler, converting the real efficiency value into a real label matrix Y, Y is a matrix with m rows and 1 columns, and the real label matrix Y corresponds to each row of the data matrix X one by one;
step A2, constructing a loss learning function J (theta ) of the data matrix X and the label matrix Y according to the following formula1)：
Wherein, Yi,1Representing the value of row i, column 1, X in the label matrix Yi,jRepresents the value of ith row and jth column of the data matrix X, and theta represents a weight matrix initialized to 0, wherein theta is a matrix with 4 rows and 1 column, and theta isj,1Represents the value of the weight matrix theta, j, row, column 11Representing the parameter value initialized to 0, ln represents a logarithmic function, and T represents a matrix transposition symbol;
step A3, determining the updated weight matrix theta and parameter value theta according to the following formula1：
Where θ' represents the updated weight matrix, θ1' represents the updated parameter value, alpha represents the learning rate, the initial value is 0.001,
representing a loss learning function J (theta )1) The initial weight matrix theta is subjected to partial derivation,
representing a loss learning function J (theta )1) For the initial parameter value theta1Making a partial derivative;
step A4, repeating the iteration from step A2 to step A3 until a preset condition is met, and ending the training of the combustion efficiency prediction model, wherein the preset condition is that a preset iteration number or a loss learning function J (theta ) is reached1) The value of (A) is 0.0001 or less.
The established combustion efficiency prediction model is trained in the technical scheme, the wind speed of a primary air blower of the gas boiler, the wind speed of a secondary air blower, the wind speed of a gas inlet and the corresponding temperature value of the gas boiler at the current wind speed at a certain moment in the past are obtained and used as training data, so that the model learns the data characteristics in the training data, the training data are subjected to prediction fitting, the loss is calculated by using the real value and the predicted value, a loss learning function is established, reverse iteration derivation is carried out until the loss is reduced to a preset condition or the iteration times are met, overfitting of the combustion efficiency prediction model is avoided, the model prediction is more accurate, the actual condition is met, the model training efficiency is greatly improved by adopting a loss learning function mode, and the training time is saved.
In one embodiment of the present invention, the boiler regulation module further comprises:
the combustion efficiency calculation unit is used for acquiring the temperature values of the gas boiler corresponding to the primary air blower speed, the secondary air blower speed and the gas inlet air speed of the gas boiler in the current time period under the current air speed, and converting the data values into a data matrix K, wherein K is a matrix with 1 row and 4 columns, and the combustion efficiency of the gas boiler in the current time period is predicted by using a model according to the following formula:
wherein eta represents the combustion efficiency of the gas boiler in the current time period, and the wind speed of the primary air blower, the wind speed of the secondary air blower and the wind speed of the gas inlet under the current combustion efficiency value are obtained according to the combustion efficiency value based on a back-pushing method;
and the regulating and controlling unit is used for uniformly regulating and controlling the temperature of the gas boiler by adopting the acquired wind speed of the primary air blower and the acquired wind speed of the secondary air blower and the gas inlet wind speed, so that the combustion efficiency value is met.
In the technical scheme, the wind speed of a primary air blower of the gas boiler, the wind speed of a secondary air blower and the temperature value of the gas boiler corresponding to the current wind speed of a gas inlet in the current time period are obtained, the combustion efficiency of the current time period is predicted by utilizing a trained combustion efficiency prediction model, the prediction result is more accurate by adopting the trained model, the past historical condition is met, the combustion efficiency is ensured, the predicted combustion efficiency value is obtained for multiple times, the preset combustion efficiency value provided by a user is based on, in order to meet the preset combustion efficiency value, the obtained wind speed of the primary air blower and the wind speed of the secondary air blower and the gas inlet wind speed are used for uniformly regulating and controlling the temperature of the gas boiler based on a back-pushing method, the method meets the combustion efficiency value provided by a user, is convenient for the user to use, can calculate index values of the wind speed of the primary air blower and the wind speed of the secondary air blower which need to be regulated and controlled and the gas inlet wind speed of the gas boiler according to a back-stepping method, uniformly regulates and controls the temperature of the gas boiler by referring to the index values, is convenient for the user to regulate and control, avoids the blind regulation and control of the user, and greatly embodies the thermal intelligent degree of the current combustion boiler.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle scope of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A method of regulating a gas boiler, the method comprising:
the method comprises the steps that a data model of the gas boiler is built according to operation data of the gas boiler in each historical time stage, and the area of a primary air blower air port, the area of a secondary air blower air port and the application area of a gas inlet of the gas boiler are obtained based on the data model;
respectively determining the wind speed of a primary air blower of the gas boiler, the wind speed of a secondary air blower and the wind speed of a gas inlet of the gas boiler according to the area of the primary air blower wind port of the gas boiler, the area of the secondary air blower wind port, the application area of the gas inlet of the gas boiler and the gas flow;
establishing a combustion efficiency prediction model and training by utilizing the wind speed of a primary wind blower, the wind speed of a secondary wind blower, the wind speed of a gas inlet and the corresponding temperature value of the gas boiler at the current wind speed;
calling the trained combustion efficiency model, predicting the combustion efficiency of the gas boiler in the current time period, acquiring the wind speed of a primary air blower, the wind speed of a secondary air blower and the wind speed of a gas inlet under the current combustion efficiency value according to the combustion efficiency value based on a back-pushing method, and regulating and controlling the temperature uniformity of the gas boiler by adopting the wind speed of the primary air blower, the wind speed of the secondary air blower and the wind speed of the gas inlet of the gas boiler.
2. The method for regulating and controlling the gas boiler according to claim 1, wherein the step of constructing a data model of the gas boiler according to the operation data of the gas boiler in each historical time period, and the step of obtaining the area of the primary air blower air inlet, the area of the secondary air blower air inlet and the application area of the gas inlet of the gas boiler based on the data model comprises the steps of:
acquiring operation data of the gas-fired boiler in each historical time stage, and constructing the operation data into a data model;
classifying the operation data in the data model according to the type of the operation data, and generating a character string index for the class of the operation data;
and acquiring the area of a primary air blower air port, the area of a secondary air blower air port and the application area of a gas inlet of the gas boiler through different character string indexes.
3. The method for regulating and controlling the gas boiler according to claim 1, wherein the determining the wind speed of the primary air blower of the gas boiler, the wind speed of the secondary air blower of the gas boiler and the wind speed of the gas inlet according to the area of the primary air blower wind port of the gas boiler, the area of the secondary air blower wind port, the application area of the gas inlet of the gas boiler and the gas flow respectively comprises:
determining the air speed of a gas inlet of a gas boiler according to the application area and the gas flow of the gas inlet of the gas boiler, and determining the air demand according to the air speed of the gas inlet;
acquiring a proportional value of the wind speed of the primary air blower and the wind speed of the secondary air blower according to a data model of the gas boiler, and determining the percentage of the wind quantity of the primary air blower and the percentage of the wind quantity of the secondary air blower according to the acquired proportional value, the area of a wind port of the primary air blower and the area of a wind port of the secondary air blower;
acquiring the wind speed of a primary air blower and the wind speed of a secondary air blower according to the following formulas:
wherein, ViRepresents the wind speed of the ith air blower, Q represents the air demand, and lambdaiRepresenting the percentage of the air volume of the i-th air blower, SiRepresenting the area of the tuyere of the air blower i times.
4. The method for regulating and controlling the gas boiler according to claim 1, wherein a combustion efficiency prediction model is established and trained by using the wind speed of the primary air blower, the wind speed of the secondary air blower, the wind speed of the gas inlet of the gas boiler and the corresponding temperature value of the gas boiler at the current wind speed, and the training step comprises:
step A1, acquiring the wind speed of a primary air blower of a gas boiler, the wind speed of a secondary air blower, the wind speed of a gas inlet and the temperature value of the gas boiler corresponding to the current wind speed at a certain moment, taking the wind speed, the wind speed of a gas inlet and the temperature value as training data, acquiring real efficiency values corresponding to the training data, converting the training data into a data matrix X, wherein X is a matrix with m rows and 4 columns, m represents the number of samples, 4 columns respectively represent the wind speed of the primary air blower, the wind speed of the secondary air blower, the wind speed of the gas inlet and the temperature of the gas boiler, and converting the real efficiency values into a real label matrix Y, wherein Y is a matrix with m rows and 1 column, and the real label matrix Y corresponds to each row of the data matrix X one by one;
step A2, constructing a loss learning function J (theta ) of the data matrix X and the label matrix Y according to the following formula1)：
Wherein, Yi,1Representing the value of row i, column 1, X in the label matrix Yi,jRepresents the value of ith row and jth column of the data matrix X, and theta represents a weight matrix initialized to 0, wherein theta is a matrix with 4 rows and 1 column, and theta isj,1Representing weight momentsThe value of theta, row jth, column 11Representing the parameter value initialized to 0, ln represents a logarithmic function, and T represents a matrix transposition symbol;
step A3, determining the updated weight matrix theta and parameter value theta according to the following formula1：
Where θ' represents the updated weight matrix, θ1' represents the updated parameter value, alpha represents the learning rate, the initial value is 0.001,
representing a loss learning function J (theta )1) The initial weight matrix theta is subjected to partial derivation,
representing a loss learning function J (theta )1) For the initial parameter value theta1Making a partial derivative;
step A4, repeating the iteration from step A2 to step A3 until a preset condition is met, and ending the training of the combustion efficiency prediction model, wherein the preset condition is that a preset iteration number or a loss learning function J (theta ) is reached1) The value of (A) is 0.0001 or less.
5. The method of claim 1, wherein the calling the combustion efficiency model to predict the combustion efficiency of the gas boiler in the current time period, and obtaining the wind speed of the primary air blower, the wind speed of the secondary air blower and the wind speed of the gas inlet at the current combustion efficiency value according to the optimal combustion efficiency value based on a back-stepping method, and the using the wind speed of the primary air blower, the wind speed of the secondary air blower and the wind speed of the gas inlet to regulate the temperature uniformity of the gas boiler comprises:
acquiring the temperature value of the gas boiler corresponding to the primary air blower speed, the secondary air blower speed and the gas inlet air speed of the gas boiler in the current time period under the current air speed, and converting the data value into a data matrix K, wherein K is a matrix with 1 row and 4 columns, and performing model prediction on the combustion efficiency of the gas boiler in the current time period by using the following formula:
wherein eta represents the combustion efficiency of the gas boiler in the current time period, and the wind speed of the primary air blower, the wind speed of the secondary air blower and the wind speed of the gas inlet under the current combustion efficiency value are obtained according to the combustion efficiency value based on a back-pushing method;
the gas boiler adopts the wind speed of the acquired primary air blower and the wind speed of the acquired secondary air blower and the wind speed of a gas inlet to uniformly regulate and control the temperature of the gas boiler so as to meet the value of the combustion efficiency.
6. A regulating device for a gas boiler, characterized in that it comprises:
the data acquisition module is used for constructing a data model of the gas boiler according to the operation data of the gas boiler in each historical time stage, and acquiring the area of a primary air blower air port, the area of a secondary air blower air port and the application area of a gas inlet of the gas boiler based on the data model;
the air speed determining module is used for respectively determining the air speed of the primary air blower of the gas boiler, the air speed of the secondary air blower and the air speed of the gas inlet according to the area of the primary air blower air port of the gas boiler, the area of the secondary air blower air port, the application area of the gas inlet of the gas boiler and the gas flow;
the model building module is used for building a combustion efficiency prediction model and training by utilizing the wind speed of a primary wind blower, the wind speed of a secondary wind blower, the wind speed of a gas inlet and the corresponding temperature value of the gas boiler at the current wind speed;
and the boiler regulation and control module is used for calling the trained combustion efficiency model to predict the combustion efficiency of the gas boiler in the current time period, acquiring the wind speed of a primary air blower, the wind speed of a secondary air blower and the wind speed of a gas inlet under the current combustion efficiency value according to the combustion efficiency value based on a back-pushing method, and adopting the wind speed of the primary air blower of the gas boiler, the wind speed of the secondary air blower and the wind speed of the gas inlet to regulate and control the temperature uniformity of the gas boiler.
7. A control device for a gas boiler as set forth in claim 6, wherein said data acquisition module further comprises:
the construction unit is used for acquiring the operation data of the gas-fired boiler in each historical time stage and constructing the operation data into a data model;
the generating unit is used for classifying the operation data in the data model according to the type of the operation data and generating a character string index for the class of the operation data;
and the acquisition unit is used for acquiring the area of an air port of a primary air blower, the area of an air port of a secondary air blower and the application area of a gas inlet of the gas boiler through different character string indexes.
8. The control apparatus of a gas boiler as set forth in claim 6, wherein said wind speed determining module further comprises:
the air quantity determining unit is used for determining the air speed of a gas inlet of the gas boiler according to the application area and the gas flow of the gas inlet of the gas boiler and determining the air demand according to the air speed of the gas inlet;
the percentage determining unit is used for acquiring a proportional value of the wind speed of the primary air blower and the wind speed of the secondary air blower according to a data model of the gas boiler, and determining the percentage of the wind volume of the primary air blower and the percentage of the wind volume of the secondary air blower according to the acquired proportional value, the area of a wind port of the primary air blower and the area of a wind port of the secondary air blower;
the calculating unit is used for acquiring the wind speed of the primary air blower and the wind speed of the secondary air blower according to the following formulas:
wherein, ViRepresents the wind speed of the ith air blower, Q represents the air demand, and lambdaiRepresenting the percentage of the air volume of the i-th air blower, SiRepresenting the area of the tuyere of the air blower i times.
9. The control device of a gas boiler as claimed in claim 6, wherein the model building module performs the specific steps of training the combustion efficiency prediction model as follows:
step A1, acquiring the wind speed of a primary air blower, the wind speed of a secondary air blower, the wind speed of a gas inlet and the temperature value of the gas boiler corresponding to the current wind speed of the gas boiler at a certain moment in the past as training data, acquiring a real efficiency value corresponding to the training data, converting the training data into a data matrix X, wherein X is a matrix with m rows and 4 columns, m represents the number of samples, 4 columns respectively represent the wind speed of the primary air blower, the wind speed of the secondary air blower, the wind speed of the gas inlet and the temperature of the gas boiler, converting the real efficiency value into a real label matrix Y, Y is a matrix with m rows and 1 columns, and the real label matrix Y corresponds to each row of the data matrix X one by one;
step A2, constructing a loss learning function J (theta ) of the data matrix X and the label matrix Y according to the following formula1)：
Wherein, Yi,1Representing the value of row i, column 1, X in the label matrix Yi,jRepresents the value of ith row and jth column of the data matrix X, and theta represents the weight matrix initialized to 0, where theta is4 rows and 1 columns of matrix, thetaj,1Represents the value of the weight matrix theta, j, row, column 11Representing the parameter value initialized to 0, ln represents a logarithmic function, and T represents a matrix transposition symbol;
step A3, determining the updated weight matrix theta and parameter value theta according to the following formula1：
Where θ' represents the updated weight matrix, θ1' represents the updated parameter value, alpha represents the learning rate, the initial value is 0.001,
representing a loss learning function J (theta )1) The initial weight matrix theta is subjected to partial derivation,
representing a loss learning function J (theta )1) For the initial parameter value theta1Making a partial derivative;
step A4, repeating the iteration from step A2 to step A3 until a preset condition is met, and ending the training of the combustion efficiency prediction model, wherein the preset condition is that a preset iteration number or a loss learning function J (theta ) is reached1) The value of (A) is 0.0001 or less.
10. A regulating device of a gas boiler according to claim 6, characterized in that said boiler regulating module further comprises:
the combustion efficiency calculation unit is used for acquiring the temperature values of the gas boiler corresponding to the primary air blower speed, the secondary air blower speed and the gas inlet air speed of the gas boiler in the current time period under the current air speed, and converting the data values into a data matrix K, wherein K is a matrix with 1 row and 4 columns, and the combustion efficiency of the gas boiler in the current time period is predicted by using a model according to the following formula:
wherein eta represents the combustion efficiency of the gas boiler in the current time period, and the wind speed of the primary air blower, the wind speed of the secondary air blower and the wind speed of the gas inlet under the current combustion efficiency value are obtained according to the combustion efficiency value based on a back-pushing method;
and the regulating and controlling unit is used for uniformly regulating and controlling the temperature of the gas boiler by adopting the acquired wind speed of the primary air blower and the acquired wind speed of the secondary air blower and the gas inlet wind speed, so that the combustion efficiency value is met.
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