CN112413658B - Gas quantity detection method and device and gas furnace - Google Patents
Gas quantity detection method and device and gas furnace Download PDFInfo
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- CN112413658B CN112413658B CN202011464465.4A CN202011464465A CN112413658B CN 112413658 B CN112413658 B CN 112413658B CN 202011464465 A CN202011464465 A CN 202011464465A CN 112413658 B CN112413658 B CN 112413658B
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24C—DOMESTIC STOVES OR RANGES ; DETAILS OF DOMESTIC STOVES OR RANGES, OF GENERAL APPLICATION
- F24C3/00—Stoves or ranges for gaseous fuels
- F24C3/12—Arrangement or mounting of control or safety devices
- F24C3/122—Arrangement or mounting of control or safety devices on stoves
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24C—DOMESTIC STOVES OR RANGES ; DETAILS OF DOMESTIC STOVES OR RANGES, OF GENERAL APPLICATION
- F24C3/00—Stoves or ranges for gaseous fuels
- F24C3/12—Arrangement or mounting of control or safety devices
- F24C3/126—Arrangement or mounting of control or safety devices on ranges
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24H—FLUID HEATERS, e.g. WATER OR AIR HEATERS, HAVING HEAT-GENERATING MEANS, e.g. HEAT PUMPS, IN GENERAL
- F24H9/00—Details
- F24H9/20—Arrangement or mounting of control or safety devices
- F24H9/2007—Arrangement or mounting of control or safety devices for water heaters
- F24H9/2035—Arrangement or mounting of control or safety devices for water heaters using fluid fuel
Abstract
The invention is applicable to the technical field of gas furnaces, and provides a gas quantity detection method and device and a gas furnace, wherein the method comprises the following steps: acquiring an input power control parameter and an output power detection parameter of the gas furnace; load input estimated values obtained by estimating input power control parameters through a preset fuel gas quantity input control model, and load output estimated values obtained by estimating output power detection parameters through a preset fuel gas quantity detection model; according to a preset fusion algorithm, fusing the gas quantity input control model and the gas quantity detection model into a gas quantity detection total model; and acquiring gas quantity information obtained by fusion calculation of the load input estimated value and the load output estimated value by the gas quantity detection total model. According to the method, the gas quantity input control model and the gas quantity detection model are fused into the total gas quantity detection model, and the two estimation methods are combined in a fusion mode, so that the estimation accuracy of the gas quantity can be effectively improved.
Description
Technical Field
The invention belongs to the technical field of gas equipment, and particularly relates to a gas quantity detection method and device and a gas furnace.
Background
The gas stove generates heat by using liquefied gas or natural gas, and can cook or heat houses. The gas stove comprises a gas water heater and a gas heating water heater, the gas heating water heater is different from the water heater, the water heater mainly provides hot water and can not provide energy required by heating, so the gas water heater is only a common water heater, and the gas heating water heater is a machine with double functions of heating and living water.
The condition that the combustion efficiency is reduced after the gas furnace is used for a period of time, so that the gas quantity of the gas furnace needs to be accurately known, the air inflow and the air quantity of the gas circuit are adjusted according to the actual gas quantity to achieve the optimal combustion efficiency, the existing estimation method for the gas quantity comprises two methods, one method is that the input load is estimated by using the proportional valve current and/or the fan rotating speed, and then the gas quantity information is obtained; the second is to estimate the output power by using the water flow and the temperature rise, and then obtain the gas amount information. However, both methods have lower estimation accuracy due to the uniformity differences in the fittings of the burner, resulting in a low burner efficiency of the burner.
Disclosure of Invention
The embodiment of the invention provides a gas quantity detection method, which aims to solve the problem of low detection precision of the existing gas quantity.
The embodiment of the invention is realized in such a way that the method for detecting the fuel gas quantity comprises the following steps:
acquiring an input power control parameter and an output power detection parameter of the gas furnace;
load input estimated values obtained by estimating input power control parameters through a preset fuel gas quantity input control model, and load output estimated values obtained by estimating output power detection parameters through a preset fuel gas quantity detection model;
according to a preset fusion algorithm, fusing the gas quantity input control model and the gas quantity detection model into a gas quantity detection total model;
and acquiring gas quantity information obtained by fusion calculation of the load input estimated value and the load output estimated value by the gas quantity detection total model.
In a second aspect, the present application further provides a gas amount detection device, the device including:
the parameter acquisition unit is used for acquiring an input power control parameter and an output power detection parameter of the gas furnace;
the parameter processing unit is used for inputting a load estimated value obtained by estimating an input power control parameter through a preset fuel gas quantity input control model, and outputting a load estimated value obtained by estimating an output power detection parameter through a preset fuel gas quantity detection model;
the model fusion unit is used for fusing the fuel gas quantity input control model and the fuel gas quantity detection model into a fuel gas quantity detection total model according to a preset fusion algorithm;
the information acquisition unit is used for acquiring the gas quantity information obtained by fusion calculation of the load input estimated value and the load output estimated value by the gas quantity detection total model.
In a third aspect, the present application also provides a gas stove comprising a gas quantity detection device as described above.
According to the embodiment of the application, the input power control parameters and the output power control parameters of the gas furnace are detected, the input power control parameters are input into the gas quantity input control model to be estimated to obtain a load input estimated value, the output power detection parameters are input into the gas quantity detection model to be estimated to obtain a load output estimated value, wherein the input power control parameters comprise input load information of proportional valve current and/or fan rotating speed, the output power detection parameters comprise output power information of water flow and temperature rise, the gas quantity input control model and the gas quantity detection model are fused into a gas quantity detection total model, the gas quantity is estimated by combining two estimation methods in a fusion mode, and the estimation accuracy of the gas quantity can be effectively improved.
Drawings
FIG. 1 is a schematic diagram of a basic flow of one embodiment of a fuel gas detection method of the present application;
FIG. 2 is a flow chart of calculating input power control parameters according to one embodiment of the fuel gas detection method of the present application;
FIG. 3 is a schematic diagram of a basic flow of calculating output power detection parameters according to one embodiment of the fuel gas detection method of the present application;
FIG. 4 is a schematic diagram of a basic flow of adding system noise according to one embodiment of the method for detecting fuel gas of the present application;
FIG. 5 is a schematic diagram of a basic flow of adjusting the fuel gas according to one embodiment of the fuel gas detection method of the present application;
FIG. 6 is a schematic block diagram of an embodiment of the fuel gas amount detection device of the present application;
FIG. 7 is a schematic block diagram of an edge parameter obtaining unit according to an embodiment of the fuel gas amount detecting device of the present application;
FIG. 8 is a schematic block diagram of a parameter acquisition unit according to another embodiment of the fuel gas amount detection device of the present application;
FIG. 9 is a schematic block diagram of an information acquisition unit according to an embodiment of the fuel gas amount detection device of the present application;
fig. 10 is a schematic block diagram of another embodiment of the fuel gas amount detection device of the present application.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The existing fuel gas quantity estimation method comprises the steps of estimating input load by using proportional valve current and/or fan rotating speed to obtain fuel gas quantity information, and estimating output power by using water flow and temperature rise to obtain fuel gas quantity information, wherein the estimation accuracy of the two methods is not high. According to the method, the two estimation models are fused through the fusion algorithm, and the estimation accuracy of the fuel gas can be effectively improved by combining the two estimation methods.
Example 1
In some alternative embodiments, referring to fig. 1, fig. 1 is a schematic flow chart of an embodiment of a fuel gas amount detection method according to the present application.
As shown in fig. 1, a first aspect of the present application provides a method for detecting a fuel gas amount, including the steps of:
s1100, acquiring an input power control parameter and an output power detection parameter of the gas furnace;
the input power control parameters of the gas furnace are input load parameters of the gas furnace, for example, the input power control parameters comprise proportional valve current and/or fan rotating speed, the proportional valve is a novel hydraulic control device, a proportional electromagnet is used for replacing control parts of an original common pressure valve, a flow valve and a directional valve, and the pressure, the flow or the direction of oil flow is continuously and proportionally controlled according to input electric signals. In practice, the proportional valve current may be detected by providing a proportional valve current feedback circuit to detect the proportional valve current, for example by connecting a sampling resistor in series with the proportional valve. The fan rotating speed is the rotating speed of the fan in the gas furnace, the rotating speed of the fan is detected through the Hall element, when the fan blade of the fan passes through the Hall element accessory to generate pulse, the rotating speed of the fan is measured according to the times of generating the pulse. The output power detection parameter of the gas furnace is the output power of the gas furnace, the output power can be obtained by calculating the water flow and the water flow temperature rise of the gas furnace, wherein the water flow can be obtained by detecting the water flow sensor in a gas furnace pipeline, the water flow temperature rise can be obtained by calculating the water flow temperature of the water inlet and the water outlet of the gas furnace, and the detection method of the proportional valve current, the fan rotating speed, the water flow and the water flow temperature rise belongs to the prior art and is not repeated herein.
S1200, estimating a load input estimated value obtained by estimating an input power control parameter through a preset fuel gas quantity input control model, and estimating an output power detection parameter through a preset fuel gas quantity detection model to obtain a load output estimated value;
the fuel gas input control model is an algorithm model for estimating an input load by using proportional valve current so as to obtain fuel gas information, in some embodiments, the whole structure of a part of the gas furnace is used for making the input load depend on the proportional valve current and the fan rotating speed, namely, the input load is adjusted by simultaneously acting the proportional valve current and the fan rotating speed, so that the fuel gas input control model can also estimate the input load by using the fan rotating speed or using the proportional valve current and the fan rotating speed to obtain the fuel gas, namely, the input power control parameter comprises at least one of the proportional valve current and the fan rotating speed, the input power control parameter is calculated by the fuel gas input control model to obtain a load input estimated value, and the load input estimated value is an estimated value of the input load of the gas furnace; the gas quantity detection model is an algorithm model for estimating output power by using water flow and water flow temperature rise data, and further obtaining gas quantity information. It should be noted that, the estimation of the input load by using the proportional valve current and/or the fan rotation speed, and the estimation of the output power by using the water flow and the water flow temperature rise data all belong to the prior art, and are not described herein.
S1300, according to a preset fusion algorithm, fusing the gas quantity input control model and the gas quantity detection model into a gas quantity detection total model;
s1400, acquiring gas quantity information obtained by fusion calculation of the load input estimated value and the load output estimated value by the gas quantity detection total model.
The fusion algorithm can fuse the gas quantity input control model and the gas quantity detection model into a gas quantity detection total model, so that the gas quantity information respectively estimated by the gas quantity input control model and the gas quantity detection model is fused, and more accurate gas quantity information is obtained. In some embodiments, the fusion algorithm includes, but is not limited to, kalman filtering, least square method, maximum likelihood estimation, expert System (which is a program System with Expert level solution capability in a specific field), neural network and fuzzy set theory, taking the fusion algorithm as the kalman filtering as an example, the kalman filtering method includes:
fusion model:
wherein X is k ＝AX k-1 +BU K Is gas fuelQuantity input control model, Z k ＝HX k X is a gas quantity detection model k For estimated gas quantity, U k For controlling the quantity, the control quantity U is k Comprising proportional valve current I or fan speed W or a suitably varied control quantity (I, W) T ，Z k For output power, A, B and H are system-inherent parameters, and when implemented, the steps include:
(1) based on the gas quantity input control model (X k ＝AX k-1 +BU K ) Previous kalman estimate:
and the current control amount U k Calculating and obtaining a current gas quantity estimated value: />
(2) Based on the gas amount detection model (Z k ＝HX k ) Estimated value of current gas quantity
(calculated in step (1)) and the current output power Z k Calculating to obtain a current measurement deviation value: />
(3) According to the current gas quantity estimated value
Current kalman gain K k Current measurement deviation value->
(calculated in step (2)) calculating to obtain the current Kalman estimation value +.>
In practice, kalman gain K k Depending onModel of system, kalman gain K k The method can calculate the fuel gas amount offline under the linear time-invariant system by fusing an input load model consisting of proportional valve current and fan rotating speed and an output power model consisting of water flow and water flow temperature rise through a fusion algorithm, and can effectively improve the estimation precision of the fuel gas amount.
After the two models are fused into a total gas quantity detection model, the input load and the output power can be estimated through the total gas quantity detection model to obtain accurate gas quantity information, and in other embodiments, a fusion algorithm is taken as a least square method as an example, and the working principle of the least square method is as follows:
fusion model:
and (3) converting a model: q (Q) g ＝λP 0
Estimation model:
wherein P is 0 For output power, I M For proportional valve current, N 1 And N 2 As model parameters, Q g The working principle steps of the least square method are as follows:
A. according to the fusion model
Historical multiple sets of output power (P) 0 =water flow rate temperature rise) and proportional valve current I M Obtaining model parameters N by using least squares 1 And N 2 ；
B. Based on the scaling model and the amount of fuel gas per unit time (Q) for a particular operating state (e.g. maximum power state) gm ) And output power data (P 0m ) Calculating a conversion coefficient (lambda);
C. according to known model parameters N 1 And N 2 Fusion model (P) 0 2 ＝N 1 ·I M +N 2 ) Current proportional valve current (I Mc ) Calculating the current output power: p (P) 0c ；
According to a conversion model (Q g ＝λP 0 ) Current output power (P 0c ) Estimating the current fuel amount by a conversion coefficient (lambda): q (Q) gc 。
By adopting a fusion algorithm to fuse the two measurement modes and combining the estimated value of the input load and the estimated value of the output power, the estimation accuracy of the gas quantity information can be effectively improved.
According to the method, the input power control parameters and the output power control parameters of the gas furnace are detected, the input power control parameters are input into a load input estimated value obtained by estimating a gas quantity input control model, and the output power detection parameters are input into a load output estimated value obtained by estimating a gas quantity detection model, wherein the input power control parameters comprise input load information of proportional valve current and/or fan rotating speed, the output power detection parameters comprise output power information of water flow and temperature rise, the gas quantity input control model and the gas quantity detection model are fused into a gas quantity detection total model, the gas quantity is estimated by combining two estimation methods in a fusion mode, and the estimation accuracy of the gas quantity can be effectively improved.
Example two
In some alternative embodiments, referring to fig. 2, fig. 2 is a schematic flow chart of calculating an input power control parameter according to one embodiment of the fuel gas amount detection method provided in the present application.
As shown in fig. 2, the step of acquiring the input power control parameter includes the steps of:
s1110, acquiring proportional valve current of the gas furnace and/or fan rotation speed information of the gas furnace;
the proportional valve current of the gas furnace can be obtained by collecting the current of the proportional valve through a proportional valve feedback circuit, for example, the proportional valve current can be detected through a sampling resistor connected with the proportional valve in series; the fan rotating speed of the gas furnace can be obtained by detecting the working current of the fan, and when the gas furnace is implemented, a certain corresponding relation exists between the fan rotating speed and the fan working current, the corresponding relation can be stored in a local database, for example, the local working log data table, and the fan rotating speed can be obtained by accessing the data table.
S1120, calculating an input power control parameter representing the input load according to the proportional valve current and/or the fan rotating speed information.
In the implementation, under the specific state, for example, under the condition of no external wind pressure interference and the like, the input load of the gas furnace can be increased along with the increase of the proportional valve current, and when the gas proportional valve and the burner nozzle are selected in the design, a proportional valve current-combustion load curve can be obtained, so that the input load of the gas furnace can be calculated through the proportional valve current. In other embodiments, air is consumed in the gas combustion, when the air is insufficient, insufficient gas combustion is easy to generate waste, toxic gases such as carbon monoxide and the like are easy to generate, and when the air is excessive, part of the air does not participate in the combustion and takes away part of heat, so that the efficiency is reduced, so that in order to keep the flame in the best combustion state, the air-fuel ratio needs to be accurately controlled, and because the ratio of the gas to the air is fixed, the air quantity and the fan rotate into a specific corresponding relation, and the input load of the gas furnace can be estimated according to the air quantity provided by the fan; in addition, the whole structure of the gas furnace can also lead to that the input load is related to the proportional valve current and the fan rotating speed, for example, in a fully premixed gas furnace, gas and air are mixed in a mixing pipeline and then output to a combustion nozzle for combustion, the gas pressure between the gas pipeline and the mixing pipeline influences the flow speed of the gas, and when a fan blows air into the mixing pipeline, different air volumes can lead to the change of the gas pressure in the mixing channel so as to influence the gas flow, therefore, the input load can be influenced by combining according to the proportional valve current and the fan rotating speed, and when the gas furnace is implemented, an input load data table can be stored in a local database, and the corresponding relation between the proportional valve current and the fan rotating speed and the input load is stored in the input load data table, so that the input power control parameter of the gas furnace can be calculated according to the input load data table.
Example III
In some alternative embodiments, referring to fig. 3, fig. 3 is a schematic flow chart of calculating an output power detection parameter according to another embodiment of the fuel gas amount detection method provided in the present application.
As shown in fig. 3, the step of acquiring the output power detection parameter includes the steps of:
s1130, acquiring water flow information and water flow temperature rise information of the gas furnace;
the water flow information of the gas furnace represents the volume flow flowing through in unit time, and can be obtained by detecting the flow velocity of the gas furnace and calculating the time length of the water flow when the gas furnace is implemented; the water flow temperature information is the temperature difference between the water outlet temperature and the water inlet temperature, and in the implementation, the temperature data can be obtained by measuring the voltage after the voltage is divided by using a resistor and a temperature probe (NTC).
S1140, calculating an output power detection parameter representing the output load according to the water flow information and the water flow temperature rise information.
In some embodiments, the formula for calculating the output power is: output power=water heat/water density/water flow rate information/water flow temperature rise information, and the specific heat and density of water are known fixed parameters, so that the output power detection parameters are rapidly calculated.
Example IV
In some alternative embodiments, referring to fig. 4, fig. 4 is a schematic flow chart of adding system noise in one embodiment of the method for detecting gas amount provided in the present application.
As shown in fig. 4, the step of obtaining the gas amount information obtained by fusion calculation of the load input estimated value and the load output estimated value by the gas amount detection total model includes the following steps:
s1410, acquiring preset system noise parameters, wherein the system noise parameters comprise input quantity noise parameters and output quantity noise parameters;
in practice, the input noise parameter and the output noise parameter are the system noise and the observation noise of the algorithm system, specifically, subjective estimation, history, instrument calibration, and other methods may be used to determine covariance matrices of the two noises, where the system noise and the observation noise are known in some embodiments, for example, the system noise and the observation noise are stored in a local database, and the system noise parameter may be obtained by accessing the local database, and in other embodiments, the system noise and the observation noise may be obtained by using random functions in a programming language according to different variances.
S1420, calculating the load input estimated value, the load output estimated value, the input quantity noise parameter and the output quantity noise parameter according to the total gas quantity detection model to generate gas quantity information.
The load input estimation value corresponds to an input load, the load output estimation value corresponds to output power, and when in implementation, the Kalman filtering is taken as an example, the method comprises the following steps:
fusion model
In the present embodiment of the present invention, in the present embodiment,
wherein (1)>
Is a gas quantity related variable->
Related variable which is properly transformed and processed for proportional valve current data to adapt to system noise, +.>
Is a relevant variable of fan rotating speed data after proper conversion and processing,/for the fan rotating speed data>
X is a related variable of output power data after proper conversion and processing k ＝AX k-1 +BU K +W k Z is a gas quantity input control model k ＝HX k +V k X is a gas quantity detection model k U is the estimated value of the fuel gas quantity k To control the quantity U k Comprising proportional valve current I or fan speed W or a suitably varied control quantity (I, W) T ，Z k For output power, A, B and H are system-inherent parameters, W k To process noise, corresponding to input noise parameters, V k For measuring noise, the corresponding output quantity noise parameter, in practice, the method steps comprise:
(1) according to the gas quantity input control model (X k ＝AX k-1 +BU K ) Kalman estimation of previous time
And the current control amount (U) k ) Calculating and obtaining a current gas quantity estimated value: />
(4) Based on the gas quantity input control model (X k ＝AX k-1 +BU K +W k ) Covariance matrix of previous state (P k-1 Calculated by the previous round of step (6)), a process noise covariance matrix (Q, calculated by process noise W k Obtain) obtaining a current state covariance matrix prediction value: p (P) k '＝AP k-1 A T +Q；
(2) Based on the measurement noise-free gas amount detection model (Z k ＝HX k ) Estimated value of current gas quantity
(calculated in step (1)) and the current output power Z k Calculating to obtain a current measurement deviation value: />
(5) Based on the gas amount detection model (Z) k ＝HX k +V k ) Co-prescription of current stateDifference matrix predictive value (P k ' obtained in step (4)), a measurement noise covariance matrix (R, obtained from measurement noise V k Acquisition) acquires the current kalman gain: k (K) k ＝P k 'H T (HP k 'H T +R) -1 ；
(3) According to the current gas quantity estimated value
Current kalman gain K k Current measurement deviation value->
(calculated in step (2)) calculating to obtain the current Kalman estimation value +.>
(6) Based on the measurement noise-free gas amount detection model (Z k ＝HX k ) Kalman gain (K) k Obtained in step (5), the current state covariance matrix prediction value (P) k ' acquiring a Kalman estimation state covariance matrix by the step (4): p (P) k ＝(I-K k H)P k '。
In the embodiment, the process noise and the measurement noise of the system are considered, wherein proper transformation is to perform certain transformation processing on the original data according to a physical model in order to ensure the linearity of a state equation, and the observation data comprise the influence of noise and interference in the system, so that the system state is optimally estimated through the algorithm of inputting and outputting the observation data by the system, and the fusion of the two models is realized, thereby improving the estimation accuracy of the gas quantity information.
Example five
In some alternative embodiments, referring to fig. 5, fig. 5 is a schematic flow chart of a specific implementation of the method for detecting gas amount according to an embodiment of the present application.
As shown in fig. 5, after the step of obtaining the gas amount information obtained by fusion calculation of the load input estimated value and the load output estimated value by the gas amount detection total model, the gas amount detection method provided by the application further includes the following steps:
s1500, a gas load algorithm is established according to the gas quantity information and the output power detection parameters;
the gas quantity information indicates accurate gas quantity obtained by detecting the gas furnace in real time, the output power detection parameter is the output power of the gas furnace, and a gas load algorithm is established by using the actual gas quantity and the actual output power of the gas furnace, and the gas load algorithm is a gas quantity and output power model, so that the combustion efficiency of the gas furnace can be accurately reflected.
S1600, calculating target fuel gas according to a fuel gas load algorithm and the required target combustion load.
The target combustion load is output power required by a user, the gas furnace is taken as a gas heating water heater for example, the temperature of the gas heating water heater is adjusted from 20 degrees to 22 degrees by the user, the target combustion load corresponds to the output power required by the temperature of 22 degrees, and the gas load algorithm can accurately reflect the relation between the gas quantity and the output load, so that the target gas quantity corresponding to the target combustion load can be accurately calculated through the gas load algorithm, and then the proportional valve current and the fan rotating speed are adjusted according to the target gas quantity, so that the gas furnace meets the target combustion load, and the gas water heater and the gas heating water heater are controlled more accurately.
Example 6
In some alternative embodiments, an embodiment of the present application further provides a gas amount detection device, referring to fig. 6, and fig. 6 is a schematic block diagram of an embodiment of the gas amount detection device of the present application.
As shown in fig. 6, the gas amount detection device provided in the present application includes:
a parameter obtaining unit 100, configured to obtain an input power control parameter and an output power detection parameter of the gas furnace;
the parameter processing unit 200 is configured to obtain a load input estimated value by estimating an input power control parameter through a preset gas amount input control model, and obtain a load output estimated value by estimating an output power detection parameter through a preset gas amount detection model;
the model fusion unit 300 is used for fusing the fuel gas quantity input control model and the fuel gas quantity detection model into a fuel gas quantity detection total model according to a preset fusion algorithm;
the information obtaining unit 400 is configured to obtain gas amount information obtained by performing fusion calculation on the load input estimated value and the load output estimated value by using the gas amount detection total model.
According to the method, the input power control parameters and the output power control parameters of the gas furnace are detected, the input power control parameters are input into a load input estimated value obtained by estimating a gas quantity input control model, and the output power detection parameters are input into a load output estimated value obtained by estimating a gas quantity detection model, wherein the input power control parameters comprise input load information of proportional valve current and/or fan rotating speed, the output power detection parameters comprise output power information of water flow and temperature rise, the gas quantity input control model and the gas quantity detection model are fused into a gas quantity detection total model, the gas quantity is estimated by combining two estimation methods in a fusion mode, and the estimation accuracy of the gas quantity can be effectively improved.
In some alternative embodiments, as shown in fig. 7, a parameter obtaining unit 100 of the gas amount detecting device provided in the present application includes:
the information acquisition first module 110 is configured to acquire proportional valve current of the gas furnace and/or fan rotation speed information of the gas furnace;
the parameter calculation first module 120 is configured to calculate an input power control parameter indicative of an input load according to the proportional valve current and/or fan speed information.
In some alternative embodiments, as shown in fig. 8, a parameter acquisition unit 100 of the gas amount detection device provided in the present application includes:
the information acquisition second module 130 is used for acquiring water flow information and water flow temperature rise information of the gas furnace;
the parameter calculation second module 140 is configured to calculate an output power detection parameter representing the output load according to the water flow information and the water flow temperature rise information.
In some alternative embodiments, as shown in fig. 9, an information acquisition unit 400 of the gas amount detection device provided in the present application includes:
a parameter obtaining module 410, configured to obtain preset system noise parameters, where the system noise parameters include an input noise parameter and an output noise parameter;
the parameter processing module 420 is configured to calculate a load input estimated value, a load output estimated value, an input noise parameter, and an output noise parameter according to the total gas amount detection model to generate gas amount information.
In some alternative embodiments, as shown in fig. 10, the gas amount detection device provided in the present application further includes:
the algorithm establishing unit 500 is used for establishing a gas load algorithm according to the gas quantity information and the output power detection parameters;
the fuel gas amount calculation unit 600 is used for calculating the target fuel gas amount according to the fuel gas load algorithm and the required target combustion load.
The device provided by the embodiment of the present invention has the same implementation principle and technical effects as those of the foregoing method embodiment, and for the sake of brevity, reference may be made to the corresponding content in the foregoing method embodiment where the device embodiment is not mentioned.
Example seven
In some alternative embodiments, one embodiment of the present application also provides a gas burner comprising a gas quantity detection device as described above.
The parameter obtaining unit 110 in the gas amount detecting device is configured to obtain an input power control parameter and an output power detecting parameter of the gas stove, where the input power control parameter of the gas stove is an input load related parameter of the gas stove, and the input power control parameter includes a proportional valve current and/or a fan rotation speed of the gas stove, and the output power detecting parameter of the gas stove is an output power related parameter of the gas stove, and the output power detecting parameter includes a water flow rate, a water flow temperature rise, and the like of the gas stove. The fuel gas input control model is to estimate the fuel gas amount for the input load by using proportional valve current and/or fan rotation speed, and the fuel gas amount detection model is to estimate the fuel gas amount for the output power by using water flow and water flow temperature rise data. The fusion algorithm can fuse the gas quantity input control model and the gas quantity detection model into a gas quantity detection total model, so that the estimation accuracy of gas quantity information is effectively improved. In some embodiments, the fusion algorithm includes, but is not limited to, kalman filtering, least squares, maximum likelihood estimation, expert system, neural network, and fuzzy set theory, taking the fusion algorithm as an example of Kalman filtering, the Kalman filtering method includes:
fusion model:
wherein X is k ＝AX k-1 +BU K Z is a gas quantity input control model k ＝HX k X is a gas quantity detection model k U is the estimated value of the fuel gas quantity k For controlling the quantity, the control quantity U is k Comprising proportional valve current I or fan speed W or a suitably varied control quantity (I, W) T ，Z k For output power, A, B and H are system-inherent parameters, and when implemented, the steps include:
(1) based on the gas quantity input control model (X k ＝AX k-1 +BU K ) Previous kalman estimate:
and the current control amount U k Calculating and obtaining a current gas quantity estimated value: />
(2) Based on the gas amount detection model (Z k ＝HX k ) Estimated value of current gas quantity
(calculated in step (1)) and the current output power Z k Calculating to obtain a current measurement deviation value: />
(3) According to the current gas quantity estimated value
Current kalman gain K k Current measurement deviation value->
(calculated in step (2)) calculating to obtain the current Kalman estimation value +.>
The gas quantity input control model and the gas quantity detection model are fused into a gas quantity detection total model through a fusion algorithm, the gas quantity detection total model calculates a load input estimated value obtained by estimating the gas quantity input control model through proportional valve current and fan rotation speed and a load output estimated value obtained by estimating water flow and water flow temperature rise data through the gas quantity detection model to obtain gas quantity information, and the gas quantity estimation precision can be effectively improved.
According to the embodiment of the application, the input power control parameters and the output power control parameters of the gas furnace are detected, the input power control parameters are input into a load input estimated value obtained by estimating a gas quantity input control model, and the output power detection parameters are input into a load output estimated value obtained by estimating a gas quantity detection model, wherein the input power control parameters comprise input load information of proportional valve current and/or fan rotating speed, the output power detection parameters comprise output power information of water flow and temperature rise, the gas quantity input control model and the gas quantity detection model are fused into a gas quantity detection total model, and the gas quantity is estimated by combining two estimation methods in a fusion mode, so that the estimation accuracy of the gas quantity can be effectively improved.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.
Claims (10)
1. A method for detecting the amount of fuel gas, comprising the steps of:
acquiring an input power control parameter and an output power detection parameter of the gas furnace, wherein the input power control comprises at least one of proportional valve current and fan rotating speed, and the output power detection parameter comprises water flow and water flow temperature rise information of the gas furnace;
a load input estimated value obtained by estimating the input power control parameter through a preset fuel gas quantity input control model, and a load output estimated value obtained by estimating the output power detection parameter through a preset fuel gas quantity detection model;
according to a preset fusion algorithm, the fuel gas quantity input control model and the fuel gas quantity detection model are fused into a fuel gas quantity detection total model;
and acquiring gas quantity information obtained by fusion calculation of the load input estimated value and the load output estimated value by the gas quantity detection total model.
2. The gas amount detection method according to claim 1, wherein the step of acquiring the input power control parameter includes the steps of:
acquiring proportional valve current of the gas furnace and/or fan rotating speed information of the gas furnace;
and calculating the input power control parameter representing the input load according to the proportional valve current and/or the fan rotating speed information.
3. The gas amount detection method according to claim 1, wherein the step of obtaining the output power detection parameter includes the steps of:
acquiring water flow information and water flow temperature rise information of the gas furnace;
and calculating the output power detection parameter representing the output load according to the water flow information and the water flow temperature rise information.
4. The gas amount detection method according to claim 1, wherein the step of obtaining gas amount information obtained by fusion calculation of the load input estimation value and the load output estimation value by the gas amount detection total model includes the steps of:
acquiring preset system noise parameters, wherein the system noise parameters comprise input quantity noise parameters and output quantity noise parameters;
and calculating the load input estimated value, the load output estimated value, the input quantity noise parameter and the output quantity noise parameter according to the gas quantity detection total model to generate the gas quantity information.
5. The gas amount detection method according to claim 4, wherein after the step of obtaining gas amount information obtained by fusion calculation of the load input estimation value and the load output estimation value by the gas amount detection total model, the method further comprises the steps of:
establishing a gas load algorithm according to the gas quantity information and the output power detection parameters;
and calculating the target gas quantity according to the gas load algorithm and the required target combustion load.
6. A gas amount detection apparatus, characterized by comprising:
the device comprises a parameter acquisition unit, a control unit and a control unit, wherein the parameter acquisition unit is used for acquiring an input power control parameter and an output power detection parameter of the gas furnace, the input power control generates at least one of a proportional valve current and a fan rotating speed, and the output power detection parameter comprises water flow and water flow temperature rise information of the gas furnace;
the parameter processing unit is used for inputting a load estimated value obtained by estimating the input power control parameter through a preset fuel gas quantity input control model, and outputting the load estimated value obtained by estimating the output power detection parameter through a preset fuel gas quantity detection model;
the model fusion unit is used for fusing the fuel gas quantity input control model and the fuel gas quantity detection model into a fuel gas quantity detection total model according to a preset fusion algorithm;
and the information acquisition unit is used for acquiring the gas quantity information obtained by fusion calculation of the load input estimated value and the load output estimated value by the gas quantity detection total model.
7. The gas amount detection apparatus according to claim 6, wherein the parameter acquisition unit includes:
the information acquisition first module is used for acquiring proportional valve current of the gas furnace and/or fan rotating speed information of the gas furnace;
and the parameter calculation first module is used for calculating the input power control parameter representing the input load according to the proportional valve current and/or the fan rotating speed information.
8. The gas amount detection apparatus according to claim 6, wherein the parameter acquisition unit includes:
the information acquisition second module is used for acquiring water flow information and water flow temperature rise information of the gas furnace;
and the parameter calculation second module is used for calculating the output power detection parameter representing the output load according to the water flow information and the water flow temperature rise information.
9. The gas amount detection apparatus according to claim 6, wherein the information acquisition unit includes:
the parameter acquisition module is used for acquiring preset system noise parameters, wherein the system noise parameters comprise input quantity noise parameters and output quantity noise parameters;
and the parameter processing module is used for calculating the load input estimated value, the load output estimated value, the input quantity noise parameter and the output quantity noise parameter according to the gas quantity detection total model to generate the gas quantity information.
10. A gas burner comprising a gas quantity detection device according to any one of claims 6 to 9.
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