CN110288161A - The adjusting method and device of the blow valve of gas fired-boiler - Google Patents
The adjusting method and device of the blow valve of gas fired-boiler Download PDFInfo
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Abstract
The invention discloses a kind of adjusting method of the blow valve of gas fired-boiler, device, computer readable storage medium and electronic equipment, method includes: that the operation data according to the gas fired-boiler in each historical time section carries out machine learning to construct combustion efficiency forecasting；The combustion efficiency forecasting is called to predict efficiency of combustion of the gas fired-boiler in current slot；And the current operating data according to the efficiency of combustion and the gas fired-boiler of prediction in each adjacent historical time section adjacent with current time, optimal air-supply valve opening of the gas fired-boiler in each adjacent historical time section is calculated based on genetic algorithm；According to the blow valve of gas fired-boiler described in the optimal blow valve aperture regulation.According to the technical solution of the present invention, the energy consumption of gas fired-boiler can be reduced.
Description
Technical Field
The invention relates to the field of energy, in particular to a method and a device for adjusting an air supply valve of a gas boiler.
Background
With the widespread use of gas-fired boilers in industry, how to reduce the energy consumption of the gas-fired boiler to improve the operation economy is one of the main problems facing today.
At present, when a gas boiler operates, the opening of an air supply valve of the gas boiler is mainly adjusted by workers according to work experience of the workers, the manual intervention degree is too high, the opening of the air supply valve of the gas boiler cannot be adjusted in real time by fully combining operation data (such as heat load, hearth temperature and fuel heat value) of the gas boiler, and the energy consumption of the gas boiler is larger.
Disclosure of Invention
The invention provides a method and a device for adjusting an air supply valve of a gas boiler, a computer readable storage medium and electronic equipment, which can reduce the energy consumption of the gas boiler.
In a first aspect, the present invention provides a method for adjusting a supply air valve of a gas boiler, comprising:
performing machine learning according to the operating data of the gas boiler in each historical time period to construct a combustion efficiency prediction model;
calling the combustion efficiency prediction model to predict the combustion efficiency of the gas boiler in the current time period; and
calculating the optimal opening degree of the air supply valve of the gas-fired boiler in each adjacent time period adjacent to the current time period based on a genetic algorithm according to the predicted combustion efficiency and the operation data of the gas-fired boiler in each adjacent time period;
and adjusting the air supply valve of the gas boiler according to the optimal air supply valve opening.
Preferably, the first and second electrodes are formed of a metal,
after the adjusting the blow valve of the gas boiler according to the optimal blow valve opening, the method further comprises:
detecting the actual combustion efficiency of the gas boiler in the current time period;
detecting whether a difference between the predicted combustion efficiency and the actual combustion efficiency satisfies a preset condition;
and when the difference value does not meet the preset condition, updating the combustion efficiency prediction model according to the optimal air supply valve opening and the actual combustion efficiency.
Preferably, the first and second electrodes are formed of a metal,
the updating the combustion efficiency prediction model according to the optimal air supply valve opening and the actual combustion efficiency includes:
and updating the combustion efficiency prediction model according to the current working condition parameters of the gas boiler in the current time period, the opening of the optimal air supply valve and the actual combustion efficiency.
Preferably
The operational data includes: boiler load, blast valve opening, furnace temperature, fuel calorific value and boiler combustion efficiency.
In a second aspect, the present invention provides an adjusting device for a supply air valve of a gas boiler, comprising:
the model building module is used for conducting machine learning according to the operation data of the gas boiler in each historical time period to build a combustion efficiency prediction model;
the model calling module is used for calling the combustion efficiency prediction model to predict the combustion efficiency of the gas boiler in the current time period;
the optimization processing module is used for calculating the optimal opening degree of the air supply valve of the gas boiler in each adjacent time period based on a genetic algorithm according to the predicted combustion efficiency and the operation data of the gas boiler in each adjacent time period adjacent to the current time period;
and the adjusting processing module is used for adjusting the air supply valve of the gas boiler according to the optimal air supply valve opening.
Preferably, the first and second electrodes are formed of a metal,
further comprising: the first detection module and the second detection module; wherein,
the first detection module is used for detecting the actual combustion efficiency of the gas boiler in the current time period;
the second detection module is used for detecting whether a difference value between the predicted combustion efficiency and the actual combustion efficiency meets a preset condition, and if not, the model construction module is triggered;
then the process of the first step is carried out,
the model building module is further configured to update the combustion efficiency prediction model according to the optimal air supply valve opening and the actual combustion efficiency under the triggering of the second detection module.
Preferably, the first and second electrodes are formed of a metal,
and the model building module is used for updating the combustion efficiency prediction model according to the current working condition parameters of the gas boiler in the current time period, the opening of the optimal air supply valve and the actual combustion efficiency under the triggering of the second detection module.
Preferably, the first and second electrodes are formed of a metal,
the operational data includes: boiler load, blast valve opening, furnace temperature, fuel calorific value and boiler combustion efficiency.
In a third aspect, the invention provides a computer-readable storage medium comprising executable instructions which, when executed by a processor of an electronic device, perform the method according to any of the first aspect.
In a fourth aspect, the present invention provides an electronic device comprising a processor and a memory storing executable instructions, the processor performing the method according to any one of the first aspect when the processor executes the executable instructions stored in the memory.
By the method, the device, the computer-readable storage medium and the electronic equipment for adjusting the air supply valve of the gas boiler, machine learning can be performed according to the operation data of the gas boiler in each historical time period to construct the combustion efficiency prediction model, then the constructed combustion efficiency prediction model can be used for predicting the combustion efficiency of the gas boiler in the current time period, the optimal air supply valve opening degree of the gas boiler in each adjacent time period is calculated based on a genetic algorithm according to the predicted combustion efficiency and the operation data of the gas boiler in each adjacent time period adjacent to the current time period, and the air supply valve of the gas boiler is adjusted according to the calculated optimal air supply valve opening degree. In conclusion, the technical scheme provided by the invention can be used for adjusting the opening of the blast valve of the gas boiler in real time in the current time period by combining the operation data of the gas boiler, the manual intervention degree is lower, and the energy consumption of the gas boiler can be reduced.
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In order to more clearly illustrate the embodiments or the prior art solutions of the present invention, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments described in the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive labor.
Fig. 1 is a schematic flow chart illustrating a method for adjusting a supply air valve of a gas boiler according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart illustrating a method for adjusting a supply air valve of a gas boiler according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an adjusting device for a supply air valve of a gas boiler according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an adjusting device for a supply air valve of a gas boiler according to another embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be described in detail and completely with reference to the following embodiments and accompanying drawings. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. 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, an embodiment of the present invention provides a method for adjusting a supply air valve of a gas boiler, including the following steps 101 to 104:
and 101, performing machine learning according to the operation data of the gas boiler in each historical time period to construct a combustion efficiency prediction model.
The operation data specifically refers to a group of data which can reflect the operation condition of the gas-fired boiler in a unit time to a certain extent when the gas-fired boiler operates in the unit time period; generally, the operation data may include data of boiler load, opening of a blast valve, furnace temperature, fuel calorific value, and boiler combustion efficiency of the gas boiler in a unit time period.
It is obvious that the operational data may also comprise other types of data affecting the operational condition of the gas boiler, such as the ambient temperature.
Specifically, when machine learning is performed to construct a combustion efficiency prediction model by using operation data including a boiler load, an opening of a blast valve, a furnace temperature, a fuel calorific value, and a boiler combustion efficiency, for each operation data, the opening of the blast valve and the fuel calorific value included in the operation data may be respectively used as input values corresponding to the combustion efficiency prediction model, and the boiler load, the furnace temperature, and the combustion efficiency included in the operation data may be respectively used as output values corresponding to the two input values.
And 102, calling the combustion efficiency prediction model to predict the combustion efficiency of the gas boiler in the current time period.
It should be noted that, when the combustion efficiency prediction model is called to predict the combustion efficiency of the gas boiler in the current time period, the prediction may be performed based on the operating condition parameters of the gas boiler in each adjacent time period before the current time period, or may be performed in combination with the operating condition parameters that the gas boiler should have in the current time period and are input by the user.
And 103, calculating the optimal opening of the air supply valve of the gas boiler in each adjacent time period based on a genetic algorithm according to the predicted combustion efficiency and the operation data of the gas boiler in each adjacent time period adjacent to the current time period.
Specifically, the operation data of the gas boiler may be collected periodically according to the unit time, and for k consecutive unit time periods, if the kth unit time period is the current time period, the operation data of the gas boiler in each adjacent time period adjacent to the kth unit time period (for example, the kth-1 unit time period, the kth-2 unit time period …, the kth-n unit time period) may be able to express the operation data of the gas boiler in the kth time period to some extent. For example, if the fuel calorific value of the gas boiler is T in the operation data of the gas boiler in each of the adjacent time periods, such as the K-1 unit time period, the K-2 unit time period …, the K-n unit time period, and the like, it can be inferred that the fuel calorific value of the gas boiler in the operation data of the K unit time period (i.e., the current time period) may also be T; for another example, in the operation data of the gas boiler in each of the adjacent time periods, such as the k-1 unit time period, the k-2 unit time period …, the k-n unit time period, and the like, the furnace temperature may present an increasing trend, that is, a possible value range of the furnace temperature in the operation data of the gas boiler in the k unit time period (i.e., the current time period) can be inferred according to the increasing change condition of the furnace temperature; after deducing the values or value ranges of other data except the combustion efficiency and the opening degree of the air supply valve in the operation data of the gas boiler in the current time period based on a similar or same principle, the optimal air supply valve opening degree corresponding to the gas boiler when the energy consumption of the gas boiler is minimum in the k-n unit time period to the k-1 unit time period can be obtained through optimization based on a genetic algorithm, and the obtained optimal air supply valve opening degree can be determined as the optimal air supply valve opening degree of the k unit time period.
And 104, adjusting the air supply valve of the gas boiler according to the optimal air supply valve opening.
Specifically, the opening degree of the blower valve of the gas boiler is adjusted to the optimum blower valve opening degree in the k-th period.
In order to ensure that the constructed combustion efficiency prediction model can accurately predict the combustion efficiency of the gas boiler in each subsequent time period, on the basis of the embodiment shown in fig. 1 and as shown in fig. 2, in an embodiment of the present invention, after the air supply valve of the gas boiler is adjusted according to the optimal air supply valve opening, the following steps 201 to 203 are further included:
step 201, detecting the actual combustion efficiency of the gas boiler in the current time period.
Specifically, the ratio of the first heat to the second heat may be determined as the actual combustion efficiency of the gas boiler in the current period by detecting the first heat obtained by the working substance (e.g., steam) in the current period and calculating the second heat that should be released when the fuel is completely combusted according to the fuel calorific value and the energy consumption of the fuel consumed in the current period.
Step 202, detecting whether a difference value between the predicted combustion efficiency and the actual combustion efficiency meets a preset condition.
Specifically, the preset conditions may include: the absolute value of the difference between the predicted combustion efficiency and the actual combustion efficiency is not greater than a preset threshold value, which may be an empirical value.
And 203, updating the combustion efficiency prediction model according to the optimal air supply valve opening and the actual combustion efficiency when the difference does not meet the preset condition.
And when the difference value does not meet the preset condition, the combustion efficiency of the gas-fired boiler in a future time period cannot be accurately predicted by the constructed combustion efficiency prediction model.
As an implementation manner, step 203 may include:
and updating the combustion efficiency prediction model according to the working condition parameters of the gas boiler in the current time period, the opening of the optimal air supply valve and the actual combustion efficiency.
Specifically, the operating condition parameters in the current time period include, but are not limited to, a fuel calorific value of gas consumed by the gas boiler in the current time period, a furnace temperature of the gas boiler in the current time period, and a boiler load of the gas boiler in the current time period, that is, the operating data of the gas boiler in the current time period is used as a set of training data to perform machine learning to update the combustion efficiency prediction model that has been constructed.
Referring to fig. 3, based on the same concept as the method embodiment of the present invention, the embodiment of the present invention further provides an adjusting device of an air supply valve of a gas boiler, in a preferred embodiment, the adjusting device of the air supply valve of the gas boiler is composed of a plurality of program modules composed of computer program instructions, and the modules referred to in the present invention refer to a series of computer program instruction segments, which are executed by a processor of an electronic device (e.g., fig. 4) and can perform fixed functions, and are stored in a memory. The adjusting device of the air supply valve of the gas boiler comprises:
the model building module 301 is configured to perform machine learning according to the operation data of the gas boiler in each historical time period to build a combustion efficiency prediction model;
a model calling module 302, configured to call the combustion efficiency prediction model to predict the combustion efficiency of the gas boiler in the current time period;
an optimization processing module 303, configured to calculate, based on a genetic algorithm, an optimal opening of the air supply valve of the gas boiler in each adjacent time period adjacent to a current time period according to the predicted combustion efficiency and operation data of the gas boiler in each adjacent time period adjacent to the current time period;
and the adjusting processing module 304 is configured to adjust the air supply valve of the gas boiler according to the optimal air supply valve opening.
Referring to fig. 5, in an embodiment of the present invention, the apparatus further includes: a first detection module 501 and a second detection module 502; wherein,
the first detecting module 501 is configured to detect an actual combustion efficiency of the gas boiler in a current time period;
the second detecting module 502 is configured to detect whether a difference between the predicted combustion efficiency and the actual combustion efficiency meets a preset condition, and if not, trigger the model building module;
then the process of the first step is carried out,
the model building module 301 is further configured to update the combustion efficiency prediction model according to the optimal blower valve opening and the actual combustion efficiency under the triggering of the second detecting module 502.
In an embodiment of the present invention, the model building module 301 is configured to update the combustion efficiency prediction model according to the current working condition parameter of the gas boiler in the current time period, the opening of the optimal air supply valve, and the actual combustion efficiency under the triggering of the second detecting module 502.
In an embodiment of the present invention, the operation data includes: boiler load, blast valve opening, furnace temperature, fuel calorific value and boiler combustion efficiency.
For convenience of description, the above device embodiments are described with functions divided into various units or modules, and the functions of the units or modules may be implemented in one or more software and/or hardware when implementing the present invention.
Fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention. On the hardware level, the electronic device includes a processor 401 and a memory 402 storing execution instructions, and optionally an internal bus 403 and a network interface 404. The memory 302 may include a memory 4021, such as a Random-access memory (RAM), and may further include a non-volatile memory 4022 (e.g., at least 1 disk memory); the processor 401, the network interface 402, and the memory may be connected to each other by an internal bus 403, and the internal bus 403 may be an ISA (Industry standard architecture) bus, a PCI (Peripheral Component Interconnect) bus, an EISA (extended Industry standard architecture) bus, or the like; the internal bus 403 may be divided into an address bus, a data bus, a control bus, etc., and only one bi-directional arrow is shown in fig. 4 for convenience of illustration, but does not indicate only one bus or one type of bus. Of course, the electronic device may also include hardware required for other services. When the processor executes the execution instructions stored in the memory, the processor executes the method described in any one of the embodiments of the present invention and is at least used for executing:
performing machine learning according to the operating data of the gas boiler in each historical time period to construct a combustion efficiency prediction model;
calling the combustion efficiency prediction model to predict the combustion efficiency of the gas boiler in the current time period; and
calculating the optimal opening degree of the air supply valve of the gas-fired boiler in each adjacent time period adjacent to the current time period based on a genetic algorithm according to the predicted combustion efficiency and the operation data of the gas-fired boiler in each adjacent time period;
and adjusting the air supply valve of the gas boiler according to the optimal air supply valve opening.
In a possible implementation manner, the processor reads the corresponding execution instruction from the nonvolatile memory into the memory and then runs the corresponding execution instruction, and the corresponding execution instruction can also be obtained from other equipment so as to form the regulating device of the air supply valve of the gas boiler on a logic level. The processor executes the execution instructions stored in the memory, so as to realize the adjusting method of the air supply valve of the gas boiler provided by any embodiment of the invention through the executed execution instructions.
The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or instructions in the form of software. The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The embodiment of the invention also provides a computer-readable storage medium, which comprises an execution instruction, and when a processor of the electronic device executes the execution instruction, the processor executes the method provided in any embodiment of the invention. The electronic device may specifically be the electronic device shown in fig. 4; the execution instruction is a computer program corresponding to an adjustment device of a supply valve of the gas boiler.
The electronic device described in the foregoing embodiments may be a computer.
In summary, the embodiments of the present invention have at least the following advantages:
1. in one embodiment of the invention, machine learning is carried out according to the operation data of the gas boiler in each historical time period to construct a combustion efficiency prediction model, then the constructed combustion efficiency prediction model can be used for predicting the combustion efficiency of the gas boiler in the current time period, the optimal air supply valve opening degree of the gas boiler in each adjacent time period is calculated based on a genetic algorithm according to the predicted combustion efficiency and the operation data of the gas boiler in each adjacent time period adjacent to the current time period, and then the air supply valve of the gas boiler is adjusted according to the calculated optimal air supply valve opening degree. In conclusion, the technical scheme provided by the invention can be used for adjusting the opening of the blast valve of the gas boiler in real time in the current time period by combining the operation data of the gas boiler, the manual intervention degree is lower, and the energy consumption of the gas boiler can be reduced.
2. In one embodiment of the invention, the real-time updating of the constructed combustion efficiency model can be realized by detecting the actual combustion efficiency of the gas boiler in the current time period, then detecting whether the difference value between the predicted combustion efficiency and the actual combustion efficiency meets the preset condition, and updating the combustion efficiency prediction model according to the optimal air supply valve opening and the actual combustion efficiency when the detected difference value meets the preset condition, so that the constructed combustion efficiency prediction model can accurately predict the combustion efficiency of the gas boiler in each subsequent time period.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects.
The embodiments of the present invention are described in a progressive manner, and the same and similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, as for the apparatus embodiment, since it is substantially similar to the method embodiment, the description is relatively simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above description is only an example of the present invention, and is not intended to limit the present invention. Various modifications and alterations to this invention will become apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.
Claims (10)
1. A method of adjusting a blow valve of a gas boiler, comprising:
constructing a combustion efficiency prediction model according to the operation data of the gas-fired boiler in each historical time period;
calling the combustion efficiency prediction model to predict the combustion efficiency of the gas-fired boiler in the current time period; and
calculating the optimal opening degree of the air supply valve of the gas boiler in each adjacent time period according to the predicted combustion efficiency and the operation data of the gas boiler in each adjacent time period adjacent to the current time period on the basis of a genetic algorithm;
and adjusting the air supply valve of the gas boiler according to the optimal air supply valve opening.
2. The method of claim 1,
after adjusting the blow valve of the gas boiler according to the optimal blow valve opening, the method further comprises:
detecting the actual combustion efficiency of the gas boiler in the current time period;
detecting whether a difference between the predicted combustion efficiency and the actual combustion efficiency satisfies a preset condition;
and when the difference value does not meet the preset condition, updating the combustion efficiency prediction model according to the optimal air supply valve opening and the actual combustion efficiency.
3. The method of claim 2,
updating the combustion efficiency prediction model according to the optimal air supply valve opening and the actual combustion efficiency, and the method comprises the following steps:
and updating the combustion efficiency prediction model according to the working condition parameters of the gas boiler in the current time period, the opening of the optimal air supply valve and the actual combustion efficiency.
4. The method according to any one of claims 1 to 3,
the operational data includes: boiler load, blast valve opening, furnace temperature, fuel calorific value and boiler combustion efficiency.
5. An adjusting device of a blast valve of a gas boiler, comprising:
the model building module is used for conducting machine learning according to the operation data of the gas boiler in each historical time period to build a combustion efficiency prediction model;
the model calling module is used for calling the combustion efficiency prediction model to predict the combustion efficiency of the gas boiler in the current time period;
the optimization processing module is used for calculating the optimal opening degree of the air supply valve of the gas boiler in each adjacent time period based on a genetic algorithm according to the predicted combustion efficiency and the operation data of the gas boiler in each adjacent time period adjacent to the current time period;
and the adjusting processing module is used for adjusting the air supply valve of the gas boiler according to the optimal air supply valve opening.
6. The apparatus of claim 5,
further comprising: the first detection module and the second detection module; wherein,
the first detection module is used for detecting the actual combustion efficiency of the gas boiler in the current time period;
the second detection module is used for detecting whether a difference value between the predicted combustion efficiency and the actual combustion efficiency meets a preset condition, and if not, the model construction module is triggered;
then the process of the first step is carried out,
the model building module is further configured to update the combustion efficiency prediction model according to the optimal air supply valve opening and the actual combustion efficiency under the triggering of the second detection module.
7. The apparatus of claim 6,
and the model building module is used for updating the combustion efficiency prediction model according to the current working condition parameters of the gas boiler in the current time period, the opening of the optimal air supply valve and the actual combustion efficiency under the triggering of the second detection module.
8. The apparatus according to any one of claims 5 to 7,
the operational data includes: boiler load, blast valve opening, furnace temperature, fuel calorific value and boiler combustion efficiency.
9. A computer-readable storage medium comprising executable instructions that, when executed by a processor of an electronic device, cause the processor to perform the method of any of claims 1-4.
10. An electronic device comprising a processor and a memory storing executable instructions, the processor performing the method of any of claims 1-4 when the processor executes the executable instructions stored by the memory.
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| CN114418358A (en) * | 2021-12-31 | 2022-04-29 | 新奥数能科技有限公司 | Boiler scheduling method and device |
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| CN108592080A (en) * | 2018-03-01 | 2018-09-28 | 中国神华能源股份有限公司 | Boiler combustion control system and method |
| CN108758684A (en) * | 2018-05-09 | 2018-11-06 | 西安热工研究院有限公司 | A kind of boiler secondary air baffle opening desired value kinetic-control system and method |
| CN109858136A (en) * | 2019-01-26 | 2019-06-07 | 新奥数能科技有限公司 | A kind of determination method and apparatus of gas fired-boiler efficiency |
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| CN114418358A (en) * | 2021-12-31 | 2022-04-29 | 新奥数能科技有限公司 | Boiler scheduling method and device |
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