Industrial combustion optimization method and device

Abstract

The embodiment of the invention provides an industrial combustion optimization method and device, computing equipment, a computer readable storage medium and a computer program product. The industrial combustion optimization method comprises the steps that combustion reference conditions of industrial combustion equipment and equipment air volume information of the industrial combustion equipment are determined in response to a combustion optimization request triggered for the industrial combustion equipment; a gas component analysis model and a gas temperature analysis model associated with the industrial combustion equipment are loaded, the gas component analysis model is constructed based on the relation between the air volume and the gas components, and the gas temperature analysis model is constructed based on a time sequence prediction algorithm; the equipment air volume information is processed through a gas component analysis model and a gas temperature analysis model, and gas component information and gas temperature information corresponding to the equipment air volume information are obtained; and under the condition that the gas component information and the gas temperature information meet the combustion reference condition, the air volume of the industrial combustion equipment is adjusted according to the equipment air volume information.

Description

Technical Field

[0001] The embodiments of this specification relate to the field of combustion control technology, and in particular to industrial combustion optimization methods and devices. Background Art

[0002] With the development of industrial technology, projects in industries such as cement, solid waste, power generation, and heating all have certain requirements for the completeness of combustion of combustibles. By optimizing the combustion process, energy consumption can be reduced, costs can be saved, and the goal of energy conservation and carbon reduction can be achieved. However, with the continuous iteration of the structure of industrial combustion equipment and the increasing diversity of the composition of combustibles, the combustion process has also become more complicated. In theory, it is necessary to use complex mechanisms such as fluid mechanics and chemical kinetics for simulation calculations for different equipment in order to achieve the optimization of the combustion process. Although this combustion optimization solution can achieve the purpose of combustion optimization, it consumes a lot of time and cost, and due to the error between the simulation calculation and the actual situation, the final optimization effect is difficult to achieve the expected result. Therefore, there is an urgent need for an effective solution to solve the above problems. Summary of the Invention

[0003] In view of this, embodiments of this specification provide an industrial combustion optimization method. One or more embodiments of this specification also relate to an industrial combustion optimization device, a computing device, a computer-readable storage medium, and a computer program product to address technical deficiencies in the prior art.

[0004] According to a first aspect of an embodiment of this specification, there is provided an industrial combustion optimization method, comprising:

[0005] determining a combustion reference condition of the industrial combustion equipment and equipment air volume information of the industrial combustion equipment in response to a combustion optimization request triggered for the industrial combustion equipment;

[0006] Loading a gas composition analysis model and a gas temperature analysis model associated with the industrial combustion equipment, wherein the gas composition analysis model is constructed based on the relationship between air volume and gas composition, and the gas temperature analysis model is constructed based on a time series prediction algorithm;

[0007] Processing the device air volume information through the gas composition analysis model and the gas temperature analysis model to obtain gas composition information and gas temperature information corresponding to the device air volume information;

[0008] When the gas composition information and the gas temperature information satisfy the combustion reference condition, the air volume of the industrial combustion equipment is adjusted according to the equipment air volume information.

[0009] According to a second aspect of the embodiments of this specification, another industrial combustion optimization method is provided, which is applied to cloud-side equipment, including:

[0010] receiving a combustion optimization request submitted by a terminal device of the industrial combustion equipment, and determining a combustion reference condition of the industrial combustion equipment and equipment air volume information of the industrial combustion equipment according to the combustion optimization request;

[0011] Loading a gas composition analysis model and a gas temperature analysis model associated with the industrial combustion equipment, wherein the gas composition analysis model is constructed based on the relationship between air volume and gas composition, and the gas temperature analysis model is constructed based on a time series prediction algorithm;

[0012] Processing the device air volume information through the gas composition analysis model and the gas temperature analysis model to obtain gas composition information and gas temperature information corresponding to the device air volume information;

[0013] When the gas composition information and the gas temperature information meet the combustion reference condition, the equipment air volume information is sent to the end-side device for adjusting the air volume of the industrial combustion equipment.

[0014] According to a third aspect of the embodiments of this specification, an industrial combustion optimization device is provided, comprising:

[0015] a determination module configured to determine a combustion reference condition of the industrial combustion equipment and equipment air volume information of the industrial combustion equipment in response to a combustion optimization request triggered for the industrial combustion equipment;

[0016] a loading module configured to load a gas composition analysis model and a gas temperature analysis model associated with the industrial combustion equipment, wherein the gas composition analysis model is constructed based on the relationship between air volume and gas composition, and the gas temperature analysis model is constructed based on a time series prediction algorithm;

[0017] a processing module configured to process the device air volume information using the gas composition analysis model and the gas temperature analysis model to obtain gas composition information and gas temperature information corresponding to the device air volume information;

[0018] The adjustment module is configured to adjust the air volume of the industrial combustion equipment according to the equipment air volume information when the gas composition information and the gas temperature information meet the combustion reference condition.

[0019] According to a fourth aspect of the embodiments of this specification, another industrial combustion optimization device is provided, which is applied to cloud-side equipment, including:

[0020] a request receiving module configured to receive a combustion optimization request submitted by a terminal-side device of an industrial combustion device, and determine a combustion reference condition and device air volume information of the industrial combustion device according to the combustion optimization request;

[0021] a loading model module configured to load a gas composition analysis model and a gas temperature analysis model associated with the industrial combustion equipment, wherein the gas composition analysis model is constructed based on the relationship between air volume and gas composition, and the gas temperature analysis model is constructed based on a time series prediction algorithm;

[0022] an information processing module configured to process the device air volume information using the gas composition analysis model and the gas temperature analysis model to obtain gas composition information and gas temperature information corresponding to the device air volume information;

[0023] The information sending module is configured to send the equipment air volume information to the end-side device when the gas composition information and the gas temperature information meet the combustion reference condition, so as to adjust the air volume of the industrial combustion equipment.

[0024] According to a fifth aspect of the embodiments of this specification, there is provided a computing device, including:

[0025] memory and processor;

[0026] The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, the steps of the above-mentioned industrial combustion optimization method are implemented.

[0027] According to a sixth aspect of the embodiments of this specification, a computer-readable storage medium is provided, which stores computer-executable instructions, and when the instructions are executed by a processor, the steps of the above-mentioned industrial combustion optimization method are implemented.

[0028] According to a seventh aspect of the embodiments of this specification, a computer program product is provided, comprising a computer program or instructions, which implement the steps of the above-mentioned industrial combustion optimization method when executed by a processor.

[0029] The industrial combustion optimization method provided in this embodiment can, in order to improve combustion optimization effects, reduce carbon emissions, and achieve energy conservation, determine the combustion baseline conditions and equipment air volume information for the corresponding industrial combustion equipment in response to a combustion optimization request for the industrial combustion equipment after triggering the combustion optimization request. Subsequently, to improve the combustion optimization efficiency of the industrial combustion equipment, a gas composition analysis model constructed based on the relationship between air volume and gas composition, as well as a gas temperature analysis model constructed based on a time series prediction algorithm, can be loaded. The gas composition analysis model and the gas temperature analysis model can then be used to perform gas composition analysis and gas temperature analysis on the equipment air volume information, thereby obtaining the corresponding gas composition information and gas temperature information of the combustion gas of the industrial combustion equipment under the current equipment air volume information. The gas composition information and gas temperature information can represent the combustion effect of the industrial combustion equipment under the current equipment air volume information. Therefore, the gas composition information and gas temperature information can be combined to detect whether the current combustion effect meets the combustion benchmark conditions. If not, it means that the current equipment air volume information cannot make the industrial combustion equipment have a higher combustion rate or low energy consumption. Therefore, new equipment air volume information can be selected to continue testing. Until it is met, the air volume of the industrial combustion equipment can be adjusted according to the equipment air volume information that meets the conditions, so as to achieve the purpose of improving the full combustion of the combustibles by the industrial combustion equipment, and at the same time reduce the heat carried away by the equipment exhaust gas, so that the industrial combustion equipment has better combustion performance under the current combustion state, thereby achieving the purpose of saving energy consumption and saving energy and reducing carbon emissions. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 is a schematic diagram of an industrial combustion optimization method provided by one embodiment of this specification;

[0031] Figure 2 This is a flow chart of an industrial combustion optimization method provided by one embodiment of this specification;

[0032] Figure 3 This is a process flow chart of an industrial combustion optimization method provided by one embodiment of this specification;

[0033] Figure 4 is a flow chart of another industrial combustion optimization method provided by one embodiment of this specification;

[0034] Figure 5 This is a schematic structural diagram of an industrial combustion optimization device provided by one embodiment of this specification;

[0035] Figure 6 This is a schematic structural diagram of another industrial combustion optimization device provided by one embodiment of this specification;

[0036] Figure 7This is a structural block diagram of a computing device provided by one embodiment of this specification. DETAILED DESCRIPTION

[0037] The following description sets forth many specific details to facilitate a thorough understanding of this specification. However, this specification can be implemented in many other ways than those described herein, and those skilled in the art can make similar generalizations without violating the scope of this specification. Therefore, this specification is not limited to the specific implementations disclosed below.

[0038] The terms used in one or more embodiments of this specification are for the purpose of describing specific embodiments only and are not intended to limit one or more embodiments of this specification. The singular forms "a," "the," and "the" used in one or more embodiments of this specification and the appended claims are also intended to include plural forms unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used in one or more embodiments of this specification refers to and includes any or all possible combinations of one or more associated listed items.

[0039] It should be understood that although the terms first, second, etc. may be used to describe various information in one or more embodiments of this specification, such information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of one or more embodiments of this specification, the first may also be referred to as the second, and similarly, the second may also be referred to as the first. Depending on the context, the word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".

[0040] In addition, it should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in one or more embodiments of this specification are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with the relevant laws, regulations and standards of relevant countries and regions, and provide corresponding operation entrances for users to choose to authorize or refuse.

[0041] First, the terms involved in one or more embodiments of this specification are explained.

[0042] Model Predictive Control (MPC) is an advanced process control method that employs a model-based closed-loop optimization control strategy to achieve system control through key steps such as predictive modeling, rolling optimization, and feedback correction. The key concept is to obtain the current control action at each sampling instant by solving a finite-time open-loop optimal control problem. This optimal control problem is typically implemented by minimizing a performance function that consists of a weighted sum of the system state and the control input.

[0043] The Transformer is a model designed for sequence-to-sequence (end-to-end) tasks. It consists of two main parts: an encoder and a decoder. Both parts contain multiple identical layers, each with two sublayers: the first is a multi-head self-attention mechanism, and the second is a position-based feedforward neural network. Each sublayer uses residual connections.

[0044] In this specification, an industrial combustion optimization method is provided. This specification also relates to an industrial combustion optimization device, a computing device, a computer-readable storage medium, and a computer program product, which are described in detail one by one in the following embodiments.

[0045] See also Figure 1As shown in the schematic diagram, the industrial combustion optimization method provided in this embodiment can, in order to improve combustion optimization effects, reduce carbon emissions, and achieve energy conservation, determine the combustion baseline conditions and equipment air volume information for the corresponding industrial combustion equipment in response to a combustion optimization request for the industrial combustion equipment after triggering the combustion optimization request. Subsequently, to improve the combustion optimization efficiency of the industrial combustion equipment, a gas composition analysis model based on the relationship between air volume and gas composition, as well as a gas temperature analysis model based on a time series prediction algorithm, can be loaded. The gas composition analysis model and the gas temperature analysis model can then be used to perform gas composition and gas temperature analysis on the equipment air volume information, thereby obtaining the corresponding gas composition and gas temperature information of the combustion gas of the industrial combustion equipment under the current equipment air volume information. The gas composition and gas temperature information can represent the combustion effect of the industrial combustion equipment under the current equipment air volume information. Therefore, the gas composition information and gas temperature information can be combined to detect whether the current combustion effect meets the combustion benchmark conditions. If not, it means that the current equipment air volume information cannot make the industrial combustion equipment have a higher combustion rate or low energy consumption. Therefore, new equipment air volume information can be selected to continue testing. Until it is met, the air volume of the industrial combustion equipment can be adjusted according to the equipment air volume information that meets the conditions, so as to achieve the purpose of improving the full combustion of the combustibles by the industrial combustion equipment, and at the same time reduce the heat carried away by the equipment exhaust gas, so that the industrial combustion equipment has better combustion performance under the current combustion state, thereby achieving the purpose of saving energy consumption and saving energy and reducing carbon emissions.

[0046] See also Figure 2 , Figure 2 A flow chart of an industrial combustion optimization method provided according to an embodiment of this specification is shown, which specifically includes the following steps.

[0047] Step S202 : determining the combustion reference conditions and the equipment air volume information of the industrial combustion equipment in response to the combustion optimization request triggered for the industrial combustion equipment.

[0048] The industrial combustion optimization method provided in this embodiment can be applied to any scenario with combustion optimization requirements, such as power generation, solid waste, cement, chemical industry and other scenarios. In the combustion demand scenarios, it is necessary to burn combustible materials such as coal, garbage, straw, etc., so as to meet the needs of power generation, steam production or chemical reaction heat. The combustion of combustibles by industrial combustion equipment will bring carbon emissions. In order to achieve the purpose of carbon reduction and energy conservation, the combustion mechanism and machine learning methods can be combined to optimize the combustion. By exploring the relationship between air volume and gas temperature, as well as air volume and gas composition, the air volume can be adjusted to change the change in the combustion sufficiency of the combustibles by the industrial combustion equipment, thereby achieving the purpose of carbon reduction and energy conservation. This embodiment takes the industrial combustion equipment as a boiler in the heating scenario as an example to illustrate the industrial combustion optimization method. The same or corresponding descriptions in other scenarios can be found in this embodiment, and this embodiment will not be elaborated on here.

[0049] Specifically, industrial combustion equipment refers to equipment that burns combustibles in different industrial combustion scenarios; for example, boilers that burn coal and straw in power generation and heating scenarios; incinerators that burn coal and garbage in solid waste scenarios; and furnaces that burn coal in chemical scenarios. Accordingly, a combustion optimization request specifically refers to an optimization request triggered for industrial combustion equipment. This request is used to optimize the combustion of industrial combustion equipment. The purpose of the optimization is to adjust the exhaust air volume of the industrial combustion equipment so that the exhaust gas of the industrial combustion equipment can carry away less heat, thereby ensuring that the heat generated by combustion can be fully utilized to reduce energy consumption. The combustion optimization request can be triggered in various forms. It can be triggered according to a set time, such as every 5 minutes; it can also be triggered when the combustible material changes, such as when the combustible material changes from coal to straw. It can also be triggered manually. In actual applications, it can be set according to actual needs and this embodiment does not impose any restrictions here. Accordingly, the combustion benchmark condition specifically refers to the conditions that need to be met when optimizing the combustion of industrial combustion equipment. Since the purpose of combustion optimization is to reduce the amount of heat carried away by exhaust gas, the combustion benchmark condition can be an indicator for measuring the heat in the exhaust gas. By changing the air volume of the industrial combustion equipment so that the heat in the exhaust gas meets the combustion benchmark condition, it means that the combustion conditions under the current circumstances can enable the industrial combustion equipment to have a higher combustion effect and less energy consumption. Accordingly, the equipment air volume information specifically refers to the initial air volume information set for the industrial combustion equipment in the current combustion optimization stage. By predicting the equipment air volume information, the amount of heat in the exhaust gas of the industrial combustion equipment under this air volume information can be understood. By continuously adjusting the equipment air volume information, the heat in the exhaust gas is reduced. When the combustion benchmark condition is reached, the adjusted equipment air volume information can be used as the air volume required to be controlled by the industrial combustion equipment.

[0050] Based on this, in order to improve combustion optimization effects, reduce carbon emissions, and achieve energy conservation, after triggering a combustion optimization request for industrial combustion equipment, the combustion baseline conditions and equipment air volume information for the corresponding industrial combustion equipment can be determined in response to the combustion optimization request. Subsequently, to improve the combustion optimization efficiency of industrial combustion equipment, a gas composition analysis model constructed based on the relationship between air volume and gas composition, as well as a gas temperature analysis model constructed based on a time series prediction algorithm, can be loaded. The gas composition analysis model and gas temperature analysis model can then be used to perform gas composition analysis and gas temperature analysis on the equipment air volume information, thereby obtaining the corresponding gas composition information and gas temperature information of the combustion gas of the industrial combustion equipment under the current equipment air volume information. The gas composition information and gas temperature information can reflect the combustion effect of the industrial combustion equipment under the current equipment air volume information. Therefore, the gas composition information and gas temperature information can be combined to detect whether the current combustion effect meets the combustion benchmark conditions. If not, it means that the current equipment air volume information cannot make the industrial combustion equipment have a higher combustion rate or low energy consumption. Therefore, new equipment air volume information can be selected to continue testing. Until it is met, the air volume of the industrial combustion equipment can be adjusted according to the equipment air volume information that meets the conditions, so as to achieve the purpose of improving the full combustion of the combustibles by the industrial combustion equipment, and at the same time reduce the heat carried away by the equipment exhaust gas, so that the industrial combustion equipment has better combustion performance under the current combustion state, thereby achieving the purpose of saving energy consumption and saving energy and reducing carbon emissions.

[0051] Furthermore, when determining the combustion baseline conditions and equipment air volume information, in order to ensure that industrial combustion equipment achieves better combustion results and saves more energy consumption, a combustion optimization request can be triggered by detecting changes in the combustible material, and then the appropriate air volume can be selected for the combustion optimization process of the current combustible material. In this embodiment, the specific implementation method is as follows:

[0052] When a change in the combustion material of an industrial combustion device is detected, a combustion optimization request is constructed for the industrial combustion device; an energy consumption optimization target corresponding to the industrial combustion device is determined in response to the combustion optimization request, wherein the energy consumption optimization target is determined based on the target gas combustion heat and the gas hot air heat; the energy consumption optimization target is used as the combustion reference condition, and the air volume information to be tested is created for the industrial combustion device according to the combustion optimization request as the equipment air volume information.

[0053] Specifically, the change in the combustible material refers to the change of the current combustible object of the industrial combustion equipment to another object, or the change of the quantity / volume of the combustible material. Accordingly, the energy consumption optimization target specifically refers to an indicator based on the target gas combustion heat and the gas hot air heat, and the smaller the indicator is, the more complete the combustion is, the less heat is carried away by the exhaust gas, and the lower the energy consumption. Therefore, the energy consumption optimization indicator is the appropriate heat value selected in the current state, such as the minimum heat value, which is calculated by summing the target gas combustion heat and the gas hot air heat. Correspondingly, the air volume information to be tested specifically refers to the air volume information required for heat calculation in the current state. When the energy consumption optimization target is met, that is, the total heat reaches the minimum heat, it can be used to adjust the air volume of the industrial combustion equipment.

[0054] Based on this, when it is detected that the combustion material of the industrial combustion equipment has changed, it means that the original air volume of the industrial combustion equipment may not be suitable for the changed combustion material, which may cause the exhaust gas to take away more heat. In order to reduce energy consumption and save costs, the combustion of the industrial combustion equipment after the combustion material has changed can be optimized. At this time, a combustion optimization request can be constructed for the industrial combustion equipment first; thereafter, the energy consumption optimization target corresponding to the industrial combustion equipment can be determined in response to the combustion optimization request, and the energy consumption optimization target is determined based on the minimum sum of the target gas combustion heat and the gas hot air heat; therefore, the energy consumption optimization target can be used as a combustion reference condition, and at the same time, the air volume information to be tested will be created for the industrial combustion equipment according to the combustion optimization request as the equipment air volume information. It is used to continuously adjust the equipment air volume information using the combustion reference condition as a constraint condition in the future to obtain air volume information adapted to the current state, thereby achieving the purpose of saving energy.

[0055] For example, in a solid waste combustion scenario, if the waste fed into the incinerator is a difficult-to-burn fuel, the same air volume will result in an increase in the CO content, which in turn causes more heat to be removed from the exhaust gas after combustion, resulting in energy waste. To save energy, a combustion optimization request can be established for the incinerator. Based on the combustion optimization request, the optimization goal of the incinerator is determined as: minimizing the heat removed by the exhaust gas. In other words, the sum of the heat from the CO combustion in the exhaust gas and the heat from the hot air from the exhaust gas is minimized. Factors that affect this sum include not only the CO content in the exhaust gas but also the exhaust gas temperature. Both the CO content and the exhaust gas temperature are affected by the incinerator's air volume. Therefore, by adjusting the incinerator's air volume, the CO content and exhaust gas temperature can be varied, thereby minimizing the sum of the heat. In order to save energy while reducing computing costs and time, the test air volume information F can be created for the waste incinerator. After that, the test air volume information can be adjusted until the target air volume information is obtained and the total heat is minimized. The inlet and outlet air volumes of the waste incinerator can be adjusted to achieve the purpose of reducing energy consumption.

[0056] In summary, by combining the target gas combustion heat and the gas hot air heat to determine the combustion benchmark conditions, and using them as constraints for equipment air volume information testing, it can ensure that the air volume information testing of different equipment is completed quickly and accurately at the computational level, thereby reducing time costs and quickly completing the combustion optimization of industrial combustion equipment.

[0057] Step S204: loading a gas composition analysis model and a gas temperature analysis model associated with the industrial combustion equipment, wherein the gas composition analysis model is constructed based on the relationship between air volume and gas composition, and the gas temperature analysis model is constructed based on a time series prediction algorithm.

[0058] Specifically, after determining the combustion reference conditions and equipment air volume information corresponding to the industrial combustion equipment as described above, the equipment air volume information can be further tested under the constraints of the combustion reference conditions to test whether the equipment air volume information is suitable for the combustion stage of the current industrial combustion equipment. Before the test, in order to reduce time costs and improve efficiency, the air volume adjustment of the industrial combustion equipment can be completed quickly to avoid wasting more energy. The gas composition analysis model and gas temperature analysis model associated with the industrial combustion equipment can be loaded first, so that the gas composition analysis model constructed based on the relationship between air volume and gas composition can be used to complete the detection of whether the equipment air volume information meets the combustion reference conditions from the impact relationship dimension, and the gas temperature analysis model constructed based on the time series prediction algorithm can be used to complete the detection of whether the equipment air volume information meets the combustion reference conditions from the algorithm dimension, so as to select more appropriate air volume information according to the test results to adjust the air volume of the industrial combustion equipment.

[0059] Specifically, the gas composition analysis model refers to a model constructed based on the relationship between the air volume and gas composition of associated industrial combustion equipment. In other words, the composition of the gas generated after combustion in industrial combustion equipment is related to the air volume. By exploring the relationship between air volume and gas composition to construct a gas composition analysis model, when testing the equipment's air volume information, the gas composition corresponding to the equipment's air volume information can be determined based on the relationship recorded in the model for subsequent thermal analysis. Correspondingly, the gas temperature analysis model specifically refers to a model constructed based on a time series prediction algorithm, such as the transformer architecture, or it can be implemented using regression algorithms such as xgboot and linear regression. By inputting air volume information into the model, the model can predict the gas temperature under the equipment's air volume information for subsequent thermal analysis.

[0060] It should be noted that different industrial combustion equipment will correspond to different gas temperature analysis models and gas composition analysis models, so as to ensure that the processing results correspond to the industrial combustion equipment and ensure the detection accuracy of the equipment air volume information.

[0061] Furthermore, in order to construct a gas composition analysis model corresponding to industrial combustion equipment, thereby improving the analysis accuracy of gas composition, the air volume change and gas content change can be combined to construct a model. In this embodiment, the specific implementation method is as follows:

[0062] A gas analyzer is used to determine the first gas content and the second gas content contained in the combustion exhaust gas of the industrial combustion equipment, and a gas content relationship between the first gas content and the second gas content is established; when the first gas content in the combustion exhaust gas changes, the changed second gas content is determined based on the changed first gas content and the gas content relationship, and the first air volume information before the change and the second air volume information after the change are determined; based on the first air volume information, the second air volume information, the first gas content and the second gas content before the change, and the first gas content and the second gas content after the change, the gas composition analysis model is constructed.

[0063] Specifically, a gas analyzer specifically refers to a device for detecting gas composition and concentration, and its working principle is to infer the type and concentration of the gas by measuring the interaction between the gas and the sensor. Accordingly, combustion exhaust gas specifically refers to the exhaust gas generated after industrial combustion equipment burns fuel. Accordingly, the first gas content specifically refers to the carbon monoxide (CO) content in the combustion exhaust gas, and the second gas content specifically refers to the oxygen (O2) content in the combustion exhaust gas. Accordingly, the gas content relationship specifically refers to the relationship between the first gas content and the second gas content in the combustion exhaust gas. Since there is a chemical reaction relationship between the first gas and the second gas, the relationship can be used to determine the unknown second gas content or the first gas content when the first gas content or the second gas content is known. Accordingly, the first air volume information specifically refers to the air volume information before the first gas content in the exhaust gas changes, and the second air volume information specifically refers to the air volume information after the first gas content in the exhaust gas changes. By exploring the relationship between the first gas content, the second gas content, and the air volume information before and after the change, a gas composition analysis model can be constructed.

[0064] Based on this, when constructing a gas composition analysis model, in order to be able to explore the relationship between air volume and gas composition, so as to meet the requirements of inferring gas composition during air volume information analysis and then performing heat analysis, a gas analyzer can be used to determine the first gas content and the second gas content contained in the combustion exhaust gas of the industrial combustion equipment. Based on the contents of the two, a gas content relationship between the first gas content and the second gas content can be established first; then, when the first gas content in the combustion exhaust gas changes, the gas content relationship and the changed first gas content can be used to determine the changed second gas content, and in order to explore the relationship between air volume and content, the first air volume information before the change and the second air volume information after the change can be determined again; then, a gas composition analysis model can be constructed based on the first air volume information, the second air volume information, the first gas content and the second gas content before the change, and the first gas content and the second gas content after the change, so that the gas composition analysis model can be used to complete the gas composition analysis and then complete the heat detection during the equipment air volume information analysis stage.

[0065] During specific implementation, the CO content and O2 content in the combustion exhaust gas corresponding to the industrial combustion equipment can be determined through the historical collected data of the gas evaluator under normal working conditions; then the relationship model F(x) between CO and O2 can be established based on the content of the two in the exhaust gas. Thereafter, the CO content of the industrial combustion equipment in the production state is obtained through the gas evaluator = CO_0; according to the relationship model F(x), the O2 content in the current state can be calculated = O2_0 = F(CO_0). Assuming that CO changes by 1ppm (part per million, parts per million), the changed CO content = CO_d = CO_0 + 1 / 1000000. Through the relationship model, it can be obtained that after the CO content changes, the O2 content = O2_d = F(CO_d).

[0066] Furthermore, obtain the air volume air_0 before the CO change and the air volume air_d after the change; at this time, assume that the O2 change is entirely due to the air volume change and the chemical reaction between CO2 and CO, and then the relationship between them can be obtained as follows: air volume after change * O2 content after conversion + air volume after change * CO content after change / 2 + air volume after change * CO2 content after change = air volume before change * O2 content before change + air volume before change * CO content before change / 2 + air volume before change * CO2 content before change + (air volume after change - air volume before change) * 0.21, and the corresponding formula (1) is: air_d*O2_d+air_d*CO_d / 2+air_d*CO2_d=air_0*O2_0+air_0*CO_0 / 2+air_0*CO2_0+(air_d-air_0)*0.21.

[0067] Furthermore, assuming that the burnout rate of C does not change, we can obtain the following relationship: air volume after change * CO content after change + air volume after change * CO2 content after change = air volume before change * CO content before change + air volume before change * CO2 content before change; the corresponding formula (2) is: air_d*CO_d+air_d*CO2_d=air_0*CO_0+air_0*CO2_0. Subtracting formula (1) from formula (2) yields the following relationship: air_d*O2_d-air_d*CO_d / 2=air_0*O2_0-air_0*CO_0 / 2+(air_d-air_0)*0.21. Therefore, after the CO content changes, the air volume, air_d, = air_0*(O2_0-0.21-CO_0 / 2) / (O2_d-0.21-CO_d / 2).

[0068] Based on this, we can determine that for a 1 ppm increase in CO, the air volume change is delta = air_d - air_0; for a 1 ppm increase in CO, the corresponding total CO change is delta_CO = air_d * CO_d - air_0 * CO_0, and for a unit air volume change, the CO change is delta_co / delta. Furthermore, a gas composition analysis model can be constructed based on the air volume, oxygen, and carbon monoxide content before and after the change. In the application phase, this model can be used to directly determine gas composition at any air volume setting for subsequent thermal analysis, thereby achieving combustion optimization for industrial combustion equipment.

[0069] In summary, by combining the air volume information before and after the change, the content of the first gas and the second gas, the relationship between the air volume and gas composition changes is fully explored, and then a gas composition analysis model of related industrial combustion equipment is constructed. After determining any air volume information to be tested, the exhaust gas composition can be determined in combination with the model, so as to complete the detection of air volume information from a theoretical level, thereby improving the combustion optimization efficiency of industrial combustion equipment.

[0070] Furthermore, in order to train a machine learning model that accurately predicts gas temperature, the training can be completed by combining the sample pairs included in the sample set. In this embodiment, the specific implementation method is as follows:

[0071] A target sample pair is selected from a sample set corresponding to the industrial combustion equipment, wherein the target sample pair consists of sample air volume information and sample gas temperature information; the sample air volume information is input into an initial gas temperature analysis model for processing to obtain predicted gas temperature information corresponding to the sample air volume information; a loss value is calculated based on the sample gas temperature information and the predicted gas temperature information, and the initial gas temperature analysis model is adjusted based on the loss value until the gas temperature analysis model that meets the training stop condition is obtained.

[0072] Specifically, the sample set specifically refers to a combination of sample pairs constructed after collecting real data from industrial combustion equipment. The sample pairs are composed of sample air volume information and sample gas temperature information, and the sample air volume information and sample gas temperature information are all data collected from industrial combustion equipment under real conditions, thereby ensuring that the trained model matches the industrial combustion equipment and is more robust. Correspondingly, the predicted gas temperature information specifically refers to the temperature information predicted after inputting the sample air volume information into the model. Correspondingly, the training stop condition specifically refers to the condition for stopping the training of the gas temperature analysis model, including but not limited to the loss value comparison condition, the number of iterations condition, or the validation set condition.

[0073] Based on this, when training a usable gas temperature analysis model, you can first select a target sample pair from the sample set corresponding to the industrial combustion equipment, and the target sample pair consists of sample air volume information and sample gas temperature information; therefore, the sample air volume information can be input into the initial gas temperature analysis model for processing, and the predicted gas temperature information corresponding to the sample air volume information can be obtained according to the processing result; thereafter, the loss value can be calculated based on the sample gas temperature information and the predicted gas temperature information, and then the initial gas temperature analysis model can be adjusted according to the loss value to detect whether the prediction ability of the adjusted model meets the training stop conditions. If not, you can continue to select new samples from the sample set for training until a gas temperature analysis model that meets the training stop conditions is obtained and deployed.

[0074] In specific implementation, the sample set used for the training model can be constructed after collecting data through sensors such as air volume meters. In the model training stage, in order to improve the prediction accuracy of the model and achieve the intended purpose, combustion-related variables, such as combustion air temperature, fuel quantity, etc., can be set as covariates of the algorithm to achieve modeling of the dynamic relationship between air volume and exhaust gas temperature, and thus obtain a gas temperature analysis model that can input air volume information and output temperature information.

[0075] In summary, by training the model using a sample set built based on real samples, the trained model can be made more robust, which can then be used to ensure test precision and accuracy when testing the equipment air volume information.

[0076] Step S206 : Processing the device air volume information through the gas composition analysis model and the gas temperature analysis model to obtain gas composition information and gas temperature information corresponding to the device air volume information.

[0077] Specifically, after the aforementioned gas temperature analysis model and gas composition analysis model are loaded for analyzing equipment air volume information, the two types of analysis models can be used to further process the equipment air volume information. This allows the determination of the gas composition and temperature information of the exhaust gas generated by the industrial combustion equipment after adjusting the air volume according to the theoretical equipment air volume information based on the processing results. Subsequently, the gas composition and temperature information are compared with the combustion benchmark conditions to determine whether the equipment air volume information can minimize heat waste in the industrial combustion equipment. This allows the optimization of combustion operations for the industrial combustion equipment to be achieved.

[0078] Gas composition information specifically refers to the gas composition information corresponding to the exhaust gas generated by the industrial combustion equipment after fuel combustion, as determined by the calculation dimension, after processing the equipment air volume information using a gas composition analysis model. This gas composition information includes the content information of each gas in the exhaust gas. Correspondingly, gas temperature information specifically refers to the temperature information of the exhaust gas generated by the industrial combustion equipment after fuel combustion, after predicting the equipment air volume information using a gas temperature analysis model.

[0079] Furthermore, when using the gas composition analysis model and the gas temperature analysis model to process the equipment air volume information, the temperature and composition are mined in combination with the air volume change relationship. In this embodiment, the specific implementation method is as follows:

[0080] Determine the air volume change relationship recorded in the gas composition analysis model, and calculate the gas composition information corresponding to the device air volume information based on the device air volume information and the air volume change relationship, wherein the air volume change relationship records the relationship between air volume and gas composition; input the device air volume information into the gas temperature analysis model, encode the device air volume information through the encoder in the gas temperature analysis model, and decode the encoding processing result through the decoder in the gas temperature analysis model to obtain the gas temperature information corresponding to the device air volume information.

[0081] Specifically, the air volume variation relationship refers to the relationship between air volume and gas composition analysis for industrial combustion equipment. This relationship allows the calculation of gas composition information when the air volume is determined. Correspondingly, the gas temperature analysis model specifically refers to a model composed of an encoder and decoder architecture.

[0082] Based on this, when performing gas temperature and composition analysis based on the equipment air volume information, the air volume change relationship between the air volume and gas composition recorded in the gas composition analysis model can be determined first. At this time, the gas composition information corresponding to the equipment air volume information can be calculated based on the equipment air volume information and the air volume change relationship; at the same time, the equipment air volume information can also be input into the gas temperature analysis model, and the equipment air volume information is encoded by the encoder in the gas temperature analysis model. After obtaining the encoding vector, the encoding vector is decoded by the decoder in the gas temperature analysis model, and the gas temperature information corresponding to the equipment air volume information can be obtained according to the decoding processing result.

[0083] Continuing with the above example, after determining the air volume information F to be tested set for the waste incinerator, and the optimization goal of minimizing the sum of the heat of CO combustion and the heat of the hot air of the waste gas in the exhaust gas, in order to complete the calculation of the heat sum corresponding to the air volume information to be tested F while saving time and cost. The gas temperature analysis model and gas composition analysis model corresponding to the waste incinerator can be determined. The air volume information to be tested is input into the gas temperature analysis model for prediction processing, and it can be obtained that under the condition of the air volume information to be tested F, the exhaust gas temperature of the waste incinerator is A. After processing the air volume information to be tested by the gas composition analysis model, it can be obtained that under the condition of the air volume information to be tested F, the CO content in the exhaust gas of the waste incinerator is H. Subsequently, the air volume information to be tested F can be detected in combination with the exhaust gas temperature A and the CO content H, thereby completing the combustion optimization of the waste incinerator.

[0084] In summary, by combining the two types of models to detect the equipment air volume information, it can be ensured that the tests after different air volume settings are completed before the air volume is adjusted, thereby saving more costs.

[0085] Step S208 : When the gas composition information and the gas temperature information meet the combustion reference condition, the air volume of the industrial combustion equipment is adjusted according to the equipment air volume information.

[0086] Specifically, after obtaining the gas temperature information and gas composition information corresponding to the equipment air volume information, it is further possible to calculate whether the combustion effect of the industrial combustion equipment meets the combustion reference conditions under the current equipment air volume information based on the gas temperature information and gas composition information. If not, it means that the equipment air volume information needs to be adjusted, and then new equipment air volume information can be selected to perform the above-mentioned processing operations. If it is satisfied, it means that the equipment air volume information can enable the industrial combustion equipment to achieve a better combustion effect under the current state, so the air volume of the industrial combustion equipment can be adjusted according to the equipment air volume information. In actual applications, the adjustment of the air volume of the industrial combustion equipment can be completed by controlling the air volume control unit of the functional industrial combustion equipment, that is, adjusting the air volume control unit according to the settings of the air inlet and air outlet, so that the industrial combustion equipment can reduce the heat carried away by the exhaust gas under the current combustion state, thereby reducing the energy effect and avoiding waste of resources.

[0087] Furthermore, if the gas composition information and gas temperature information do not meet the combustion benchmark conditions, it means that the equipment air volume information cannot reduce the heat waste of the industrial combustion equipment, so new equipment air volume information can be selected for detection. In this embodiment, the specific implementation method is as follows:

[0088] When the gas composition information and the gas temperature information do not meet the combustion reference conditions, variable air volume information is constructed according to the equipment air volume information; the variable air volume information is used as the equipment air volume information, and the steps of loading the gas composition analysis model and the gas temperature analysis model associated with the industrial combustion equipment are performed; until the target air volume information corresponding to the target gas composition information and the target gas temperature information that meet the combustion reference conditions is determined, the air volume of the industrial combustion equipment is adjusted according to the target air volume information.

[0089] Specifically, the variable air volume information refers to the air volume information obtained after adjusting the equipment air volume information. Based on this, when the gas composition information and the gas temperature information do not meet the combustion reference conditions, it means that the equipment air volume information at this time cannot reduce the energy consumption of the industrial combustion equipment, or cannot achieve the expected combustion effect of the industrial combustion equipment. Therefore, the variable air volume information can be constructed based on the equipment air volume information; at this time, the variable air volume information can be used as the equipment air volume information, and step S204 is executed; through continuous iterative calculation, until the target air volume information corresponding to the target gas composition information and the target gas temperature information that meet the combustion reference conditions is determined, it means that the target air volume information can have a better combustion effect, and the air volume of the industrial combustion equipment can be adjusted according to the target air volume information.

[0090] In practical applications, when selecting equipment air volume information for industrial combustion equipment in its current state, in order to ensure that the exhaust gas from the industrial combustion equipment can remove less heat, the rolling optimization operation in the MPC algorithm can be used to select the equipment air volume information. By using the combustion baseline conditions as the CV (Control Variables) of the MPC, the equipment air volume information as the MV (Manipulated Variables) of the MPC, and substituting the gas temperature and gas composition predicted by the gas temperature analysis model and gas composition analysis model into the MPC, dynamic optimization can be achieved. Based on changes in combustion conditions, the more appropriate exhaust gas volume of the combustion industrial equipment is continuously updated to achieve the purpose of combustion optimization.

[0091] In summary, by determining the air volume information suitable for industrial combustion equipment through iterative updating, it can be ensured that the industrial combustion equipment can have a more sufficient combustion effect in each combustion stage, thereby reducing energy consumption.

[0092] Furthermore, when the air volume information of the equipment is detected based on the gas composition information and the gas temperature information to determine whether it meets the combustion reference conditions, it is actually achieved by calculating the total heat. In this embodiment, the specific implementation method is as follows:

[0093] The gas combustion heat corresponding to the equipment air volume information is calculated based on the gas composition information, and the hot air heat corresponding to the equipment air volume information is calculated based on the gas temperature information; the consumed heat corresponding to the equipment air volume information is determined based on the gas combustion heat and the hot air heat, and the consumed heat is detected according to the combustion reference condition; when it is detected that the consumed heat meets the combustion reference condition, the step of adjusting the air volume of the industrial combustion equipment according to the equipment air volume information is executed.

[0094] Specifically, the gas combustion heat refers to the heat of carbon monoxide combustion in the exhaust gas, calculated based on gas composition information. Correspondingly, the hot air heat refers to the heat carried by the exhaust gas, calculated based on other temperature information. Similarly, the consumed heat is the sum of the gas combustion heat and the hot air heat.

[0095] Based on this, in order to achieve the goal of reducing energy consumption, the combustion baseline condition can be set to minimize the total heat in the exhaust gas. Therefore, the gas combustion heat corresponding to the equipment air volume information can be calculated based on the gas composition information, and the hot air heat corresponding to the equipment air volume information can be calculated based on the gas temperature information. Thereafter, the gas combustion heat and the hot air heat are summed to obtain the heat consumption corresponding to the equipment air volume information. The heat consumption is then tested according to the combustion baseline condition. If the heat consumption is detected to meet the combustion baseline condition, the air volume of the industrial combustion equipment can be adjusted according to the equipment air volume information.

[0096] In practical applications, when calculating gas combustion heat in conjunction with gas composition information, the actual calculation is the CO combustion heat in the exhaust gas of industrial combustion equipment. When calculating hot air heat in conjunction with gas temperature information, the actual calculation is the hot air heat of the exhaust gas from industrial combustion equipment. Here, CO combustion heat in exhaust gas = exhaust gas volume * exhaust gas CO content * unit CO combustion heat; exhaust hot air heat = exhaust gas volume * exhaust gas temperature * exhaust gas specific heat capacity * exhaust gas density. In practical applications, unit CO combustion heat, exhaust gas specific heat capacity, and exhaust gas density can be collected and calculated using appropriate equipment.

[0097] Continuing with the above example, after processing the test air volume information F through the gas composition analysis model and the gas temperature analysis model, it is obtained that under the condition of the test air volume information F, the waste incinerator's exhaust gas temperature is A and the CO content in the exhaust gas is H. At this time, the test air volume information F, the exhaust gas CO content H, and the unit CO combustion heat can be combined to calculate that the CO combustion heat in the exhaust gas generated by the waste incinerator after fuel combustion under the test air volume F is R1. At the same time, combined with the test air volume information F, the exhaust gas temperature A, the exhaust gas specific heat capacity, and the exhaust gas temperature, the hot air heat in the exhaust gas generated by the waste incinerator after fuel combustion under the test air volume F is R2. The total heat consumption is then obtained as R=R1+R2. After testing, it is determined that the total heat consumption R does not meet the optimization condition (minimizing the sum of the CO combustion heat in the exhaust gas and the exhaust gas hot air heat), so the new test air volume information F can be selected to continue the above calculation. It is finally determined that under the condition of air volume Fm, the total heat consumption meets the optimization conditions, so the inlet and outlet air volumes of the waste incinerator can be adjusted according to the air volume Fm.

[0098] In summary, by calculating the heat and testing the equipment air volume information, it can be ensured that the air volume information of each device can be calculated from a theoretical level, and then it can be tested whether it is suitable for industrial combustion equipment, thereby achieving the purpose of combustion optimization.

[0099] In addition, in order to save more energy, the detection can be carried out at a set time interval, and the air volume control unit can be adjusted after the detection is completed. In this embodiment, the specific implementation method is as follows:

[0100] A combustion optimization request corresponding to the industrial combustion equipment is triggered at a preset time interval, and the step of determining the combustion reference condition and the equipment air volume information in response to the combustion optimization request triggered for the industrial combustion equipment is executed; wherein, the air volume of the industrial combustion equipment is adjusted according to the equipment air volume information, including: generating an air volume adjustment instruction according to the equipment air volume information, and adjusting the air volume control unit of the industrial combustion equipment based on the air volume adjustment instruction, so as to adjust the air volume of the industrial combustion equipment.

[0101] Specifically, the time interval refers to the combustion optimization interval set for industrial combustion equipment, such as 10 minutes, 30 minutes, etc.; correspondingly, the air volume adjustment instruction refers to the instruction submitted to the air volume control unit, which is used to control the inlet and outlet air volume of the air volume control unit to achieve the purpose of combustion optimization.

[0102] Based on this, in order to save more energy, a combustion optimization request corresponding to the industrial combustion equipment can be triggered at a preset time interval, and then the operations of steps S202 to S208 can be executed. In addition, when adjusting the air volume, an air volume adjustment instruction can be generated based on the equipment air volume information to adjust the air volume control unit of the industrial combustion equipment based on the air volume adjustment instruction, thereby adjusting the air volume of the industrial combustion equipment to achieve the purpose of combustion optimization.

[0103] The industrial combustion optimization method provided in this embodiment can, in order to improve combustion optimization effects, reduce carbon emissions, and achieve energy conservation, determine the combustion baseline conditions and equipment air volume information for the corresponding industrial combustion equipment in response to a combustion optimization request for the industrial combustion equipment after triggering the combustion optimization request. Subsequently, to improve the combustion optimization efficiency of the industrial combustion equipment, a gas composition analysis model constructed based on the relationship between air volume and gas composition, as well as a gas temperature analysis model constructed based on a time series prediction algorithm, can be loaded. The gas composition analysis model and the gas temperature analysis model can then be used to perform gas composition analysis and gas temperature analysis on the equipment air volume information, thereby obtaining the corresponding gas composition information and gas temperature information of the combustion gas of the industrial combustion equipment under the current equipment air volume information. The gas composition information and gas temperature information can represent the combustion effect of the industrial combustion equipment under the current equipment air volume information. Therefore, the gas composition information and gas temperature information can be combined to detect whether the current combustion effect meets the combustion benchmark conditions. If not, it means that the current equipment air volume information cannot make the industrial combustion equipment have a higher combustion rate or low energy consumption. Therefore, new equipment air volume information can be selected to continue testing. Until it is met, the air volume of the industrial combustion equipment can be adjusted according to the equipment air volume information that meets the conditions, so as to achieve the purpose of improving the full combustion of the combustibles by the industrial combustion equipment, and at the same time reduce the heat carried away by the equipment exhaust gas, so that the industrial combustion equipment has better combustion performance under the current combustion state, thereby achieving the purpose of saving energy consumption and saving energy and reducing carbon emissions.

[0104] The following combined Figure 3 , taking the application of the industrial combustion optimization method provided in this specification in a power generation scenario as an example, the industrial combustion optimization method is further explained. Figure 3 A process flow chart of an industrial combustion optimization method provided in one embodiment of this specification is shown, which specifically includes the following steps.

[0105] Step S302: When a change in the combustion material of the industrial combustion equipment is detected, a combustion optimization request is constructed for the industrial combustion equipment.

[0106] Step S304 : determining an energy consumption optimization target corresponding to the industrial combustion equipment in response to the combustion optimization request, wherein the energy consumption optimization target is determined based on the gas combustion heat and the hot air heat.

[0107] Step S306 : Using the energy consumption optimization target as a combustion reference condition, and creating to-be-tested air volume information for the industrial combustion equipment according to the combustion optimization request as equipment air volume information.

[0108] In power generation scenarios, to save energy, a combustion optimization request can be created for a pulverized coal boiler. Based on this request, the optimization objective for the pulverized coal boiler is determined as: minimizing the heat carried away by the exhaust gas. Specifically, the sum of the heat from the CO combustion and the heat from the exhaust hot air is minimized. Subsequently, test air volume information F is created for the pulverized coal boiler. Adjustments are then made based on this test air volume information until the target air volume information is obtained, minimizing the total heat. This allows the boiler's inlet and outlet air volumes to be adjusted to reduce energy consumption.

[0109] Step S308: Load the gas composition analysis model and gas temperature analysis model associated with the industrial combustion equipment, wherein the gas composition analysis model is constructed based on the relationship between air volume and gas composition, and the gas temperature analysis model is constructed based on a time series prediction algorithm.

[0110] Step S310 : Processing the equipment air volume information through a gas composition analysis model to obtain gas composition information corresponding to the equipment air volume information.

[0111] In step S312 , the equipment air volume information is input into a gas temperature analysis model for prediction to obtain gas temperature information corresponding to the equipment air volume information.

[0112] Specifically, the gas temperature analysis model and gas composition analysis model corresponding to the pulverized coal boiler can be determined. By inputting the test air volume information into the gas temperature analysis model for prediction processing, it can be determined that, given the test air volume information F, the exhaust gas temperature of the pulverized coal boiler is A. After processing the test air volume information F using the gas composition analysis model, it can be determined that, given the test air volume information F, the CO content in the exhaust gas of the pulverized coal boiler is H.

[0113] Step S314 , calculating the gas combustion heat corresponding to the equipment air volume information according to the gas composition information, and calculating the hot air heat corresponding to the equipment air volume information according to the gas temperature information.

[0114] Step S316: determining the consumed heat corresponding to the equipment air volume information according to the gas combustion heat and the hot air heat.

[0115] Step S318, check whether the consumed heat meets the combustion reference condition. If not, go to step S320; if so, go to step S322;

[0116] Step S320 , constructing variable air volume information according to the equipment air volume information, taking the variable air volume information as the equipment air volume information, and executing step S308 .

[0117] Step S322: Adjust the air volume of the industrial combustion equipment according to the equipment air volume information.

[0118] Specifically, the CO combustion heat in the exhaust gas generated by the pulverized coal boiler after fuel combustion under the conditions of the test air volume F can be calculated by combining the test air volume information F, the exhaust gas CO content H, and the unit CO combustion heat. At the same time, the hot air heat in the exhaust gas generated by the pulverized coal boiler after fuel combustion under the conditions of the test air volume F can be calculated by combining the test air volume information F, the exhaust gas temperature A, the exhaust gas specific heat capacity, and the exhaust gas temperature. The total heat consumption is then calculated as R = R1 + R2. After testing, it is determined that the total heat consumption R does not meet the optimization condition (minimizing the sum of the CO combustion heat in the exhaust gas and the exhaust gas hot air heat). Therefore, the new test air volume information F can be selected to continue the above calculation. Finally, it is determined that the total heat consumption meets the optimization condition under the air volume Fm condition. Therefore, the inlet and outlet air volumes of the pulverized coal boiler can be adjusted according to the air volume Fm.

[0119] In summary, in order to improve combustion optimization, reduce carbon emissions, and achieve energy conservation, after triggering a combustion optimization request for industrial combustion equipment, the combustion baseline conditions and equipment air volume information for the corresponding industrial combustion equipment can be determined in response to the combustion optimization request. Subsequently, to improve the combustion optimization efficiency of the industrial combustion equipment, a gas composition analysis model constructed based on the relationship between air volume and gas composition, as well as a gas temperature analysis model constructed based on a time series prediction algorithm, can be loaded. The gas composition analysis model and gas temperature analysis model can then be used to perform gas composition analysis and gas temperature analysis on the equipment air volume information, thereby obtaining the corresponding gas composition information and gas temperature information of the combustion gas of the industrial combustion equipment under the current equipment air volume information. The gas composition information and gas temperature information can represent the combustion effect of the industrial combustion equipment under the current equipment air volume information. Therefore, the gas composition information and gas temperature information can be combined to detect whether the current combustion effect meets the combustion benchmark conditions. If not, it means that the current equipment air volume information cannot make the industrial combustion equipment have a higher combustion rate or low energy consumption. Therefore, new equipment air volume information can be selected to continue testing. Until it is met, the air volume of the industrial combustion equipment can be adjusted according to the equipment air volume information that meets the conditions, so as to achieve the purpose of improving the full combustion of the combustibles by the industrial combustion equipment, and at the same time reduce the heat carried away by the equipment exhaust gas, so that the industrial combustion equipment has better combustion performance under the current combustion state, thereby achieving the purpose of saving energy consumption and saving energy and reducing carbon emissions.

[0120] Corresponding to the above method embodiment, this specification also provides another embodiment of industrial combustion optimization, Figure 4 FIG. 1 shows a flow chart of another industrial combustion optimization method provided by an embodiment of this specification. Figure 4 As shown, the method is applied to a cloud-side device and includes:

[0121] Step S402: receiving a combustion optimization request submitted by a terminal device of an industrial combustion device, and determining a combustion reference condition and equipment air volume information of the industrial combustion device according to the combustion optimization request;

[0122] Step S404: loading a gas composition analysis model and a gas temperature analysis model associated with the industrial combustion equipment, wherein the gas composition analysis model is constructed based on the relationship between air volume and gas composition, and the gas temperature analysis model is constructed based on a time series prediction algorithm;

[0123] Step S406: Processing the device air volume information using the gas composition analysis model and the gas temperature analysis model to obtain gas composition information and gas temperature information corresponding to the device air volume information;

[0124] Step S408 : When the gas composition information and the gas temperature information meet the combustion reference condition, the equipment air volume information is sent to the terminal side device for adjusting the air volume of the industrial combustion equipment.

[0125] The cloud-side device in this embodiment specifically refers to the device corresponding to the service platform that provides industrial combustion optimization services. The platform provides industrial combustion optimization services for different end-side devices, so that after the end-side device submits a combustion optimization request for its corresponding industrial combustion equipment, it can execute the industrial combustion optimization method in response to the request, thereby obtaining the preferred equipment air volume information corresponding to the industrial combustion equipment in the current state. After sending it to the end-side device, the end-side device can adjust the air volume of the industrial combustion equipment, thereby improving combustion efficiency and reducing energy consumption.

[0126] It should be noted that the implementation of another industrial combustion optimization method provided in this embodiment can refer to the same or corresponding description content in the above embodiments, and this embodiment will not be described in detail here.

[0127] Corresponding to the above method embodiment, this specification also provides an industrial combustion optimization device embodiment, Figure 5 FIG1 shows a schematic diagram of the structure of an industrial combustion optimization device provided by an embodiment of this specification. Figure 5 As shown, the device includes:

[0128] A determination module 502 is configured to determine a combustion baseline condition of the industrial combustion equipment and equipment air volume information of the industrial combustion equipment in response to a combustion optimization request triggered for the industrial combustion equipment;

[0129] a loading module 504 configured to load a gas composition analysis model and a gas temperature analysis model associated with the industrial combustion equipment, wherein the gas composition analysis model is constructed based on the relationship between air volume and gas composition, and the gas temperature analysis model is constructed based on a time series prediction algorithm;

[0130] The processing module 506 is configured to process the device air volume information using the gas composition analysis model and the gas temperature analysis model to obtain gas composition information and gas temperature information corresponding to the device air volume information;

[0131] The adjustment module 508 is configured to adjust the air volume of the industrial combustion equipment according to the equipment air volume information when the gas composition information and the gas temperature information meet the combustion reference condition.

[0132] In an optional embodiment, the determining module 502 is further configured to:

[0133] When a change in the combustion material of an industrial combustion device is detected, a combustion optimization request is constructed for the industrial combustion device; an energy consumption optimization target corresponding to the industrial combustion device is determined in response to the combustion optimization request, wherein the energy consumption optimization target is determined based on the target gas combustion heat and the gas hot air heat; the energy consumption optimization target is used as the combustion reference condition, and the air volume information to be tested is created for the industrial combustion device according to the combustion optimization request as the equipment air volume information.

[0134] In an optional embodiment, the processing module 506 is further configured to:

[0135] Determine the air volume change relationship recorded in the gas composition analysis model, and calculate the gas composition information corresponding to the device air volume information based on the device air volume information and the air volume change relationship, wherein the air volume change relationship records the relationship between air volume and gas composition; input the device air volume information into the gas temperature analysis model, encode the device air volume information through the encoder in the gas temperature analysis model, and decode the encoding processing result through the decoder in the gas temperature analysis model to obtain the gas temperature information corresponding to the device air volume information.

[0136] In an optional embodiment, the adjustment module 508 is further configured to:

[0137] The gas combustion heat corresponding to the equipment air volume information is calculated based on the gas composition information, and the hot air heat corresponding to the equipment air volume information is calculated based on the gas temperature information; the consumed heat corresponding to the equipment air volume information is determined based on the gas combustion heat and the hot air heat, and the consumed heat is detected according to the combustion reference condition; when it is detected that the consumed heat meets the combustion reference condition, the step of adjusting the air volume of the industrial combustion equipment according to the equipment air volume information is executed.

[0138] In an optional embodiment, the device further includes:

[0139] The iterative module is configured to construct variable air volume information based on the equipment air volume information when the gas composition information and the gas temperature information do not meet the combustion reference condition; use the variable air volume information as the equipment air volume information, and execute the steps of loading the gas composition analysis model and the gas temperature analysis model associated with the industrial combustion equipment; until the target air volume information corresponding to the target gas composition information and the target gas temperature information that meet the combustion reference condition is determined, and then adjust the air volume of the industrial combustion equipment according to the target air volume information.

[0140] In an optional embodiment, the device further includes:

[0141] The first model building module is configured to use a gas analyzer to determine the first gas content and the second gas content contained in the combustion exhaust gas of the industrial combustion equipment, and establish a gas content relationship between the first gas content and the second gas content; when the first gas content in the combustion exhaust gas changes, determine the changed second gas content based on the changed first gas content and the gas content relationship, and determine the first air volume information before the change and the second air volume information after the change; based on the first air volume information, the second air volume information, the first gas content and the second gas content before the change, and the first gas content and the second gas content after the change, construct the gas composition analysis model.

[0142] In an optional embodiment, the device further includes:

[0143] The second model building module is configured to select a target sample pair from the sample set corresponding to the industrial combustion equipment, wherein the target sample pair consists of sample air volume information and sample gas temperature information; input the sample air volume information into the initial gas temperature analysis model for processing to obtain predicted gas temperature information corresponding to the sample air volume information; calculate the loss value based on the sample gas temperature information and the predicted gas temperature information, and adjust the parameters of the initial gas temperature analysis model based on the loss value until the gas temperature analysis model that meets the training stop condition is obtained.

[0144] In an optional embodiment, the device further includes:

[0145] a triggering module configured to trigger a combustion optimization request corresponding to the industrial combustion equipment at a preset time interval, and execute the step of determining the combustion reference condition and equipment air volume information in response to the combustion optimization request triggered for the industrial combustion equipment;

[0146] The adjustment module 508 is further configured to generate an air volume adjustment instruction according to the equipment air volume information, and adjust the air volume control unit of the industrial combustion equipment based on the air volume adjustment instruction to adjust the air volume of the industrial combustion equipment.

[0147] The industrial combustion optimization device provided in this embodiment can, in order to improve combustion optimization effects, reduce carbon emissions, and achieve energy conservation, determine the combustion baseline conditions and equipment air volume information for the corresponding industrial combustion equipment in response to a combustion optimization request for the industrial combustion equipment after triggering the combustion optimization request. Subsequently, to improve the combustion optimization efficiency of the industrial combustion equipment, a gas composition analysis model constructed based on the relationship between air volume and gas composition, as well as a gas temperature analysis model constructed based on a time series prediction algorithm, can be loaded. The gas composition analysis model and the gas temperature analysis model can then be used to perform gas composition analysis and gas temperature analysis on the equipment air volume information, thereby obtaining the corresponding gas composition information and gas temperature information of the combustion gas of the industrial combustion equipment under the current equipment air volume information. The gas composition information and gas temperature information can represent the combustion effect of the industrial combustion equipment under the current equipment air volume information. Therefore, the gas composition information and gas temperature information can be combined to detect whether the current combustion effect meets the combustion benchmark conditions. If not, it means that the current equipment air volume information cannot make the industrial combustion equipment have a higher combustion rate or low energy consumption. Therefore, new equipment air volume information can be selected to continue testing. Until it is met, the air volume of the industrial combustion equipment can be adjusted according to the equipment air volume information that meets the conditions, so as to achieve the purpose of improving the full combustion of the combustibles by the industrial combustion equipment, and at the same time reduce the heat carried away by the equipment exhaust gas, so that the industrial combustion equipment has better combustion performance under the current combustion state, thereby achieving the purpose of saving energy consumption and saving energy and reducing carbon emissions.

[0148] The above is a schematic diagram of an industrial combustion optimization device according to this embodiment. It should be noted that the technical solution of this industrial combustion optimization device and the technical solution of the aforementioned industrial combustion optimization method are based on the same concept. For details not described in detail in the technical solution of the industrial combustion optimization device, please refer to the description of the technical solution of the aforementioned industrial combustion optimization method.

[0149] Corresponding to the above method embodiment, this specification also provides another industrial combustion optimization device embodiment, Figure 6 FIG. 1 shows a schematic diagram of the structure of another industrial combustion optimization device provided by an embodiment of this specification. Figure 6 As shown, the device is applied to cloud-side equipment and includes:

[0150] A request receiving module 602 is configured to receive a combustion optimization request submitted by a terminal device of an industrial combustion device, and determine a combustion reference condition and equipment air volume information of the industrial combustion device according to the combustion optimization request;

[0151] A loading model module 604 is configured to load a gas composition analysis model and a gas temperature analysis model associated with the industrial combustion equipment, wherein the gas composition analysis model is constructed based on the relationship between air volume and gas composition, and the gas temperature analysis model is constructed based on a time series prediction algorithm;

[0152] an information processing module 606 configured to process the device air volume information using the gas composition analysis model and the gas temperature analysis model to obtain gas composition information and gas temperature information corresponding to the device air volume information;

[0153] The information sending module 608 is configured to send the equipment air volume information to the terminal side device when the gas composition information and the gas temperature information meet the combustion reference condition, so as to adjust the air volume of the industrial combustion equipment.

[0154] The above is a schematic diagram of another industrial combustion optimization device according to this embodiment. It should be noted that the technical solution of this industrial combustion optimization device and the technical solution of the aforementioned industrial combustion optimization method are based on the same concept. For details not described in detail in the technical solution of the industrial combustion optimization device, please refer to the description of the technical solution of the aforementioned industrial combustion optimization method.

[0155] Figure 7 7 shows a block diagram of a computing device 700 according to one embodiment of the present disclosure. Components of the computing device 700 include, but are not limited to, a memory 710 and a processor 720. The processor 720 is connected to the memory 710 via a bus 730, and a database 750 is used to store data.

[0156] The computing device 700 also includes an access device 740 that enables the computing device 700 to communicate via one or more networks 760. Examples of these networks include a public switched telephone network (PSTN), a local area network (LAN), a wide area network (WAN), a personal area network (PAN), or a combination of communication networks such as the Internet. The access device 740 may include one or more of any type of network interface (e.g., a network interface card (NIC)) whether wired or wireless, such as an IEEE 802.11 wireless local area network (WLAN) wireless interface, a Worldwide Interoperability for Microwave Access (Wi-MAX) interface, an Ethernet interface, a universal serial bus (USB) interface, a cellular network interface, a Bluetooth interface, or a near field communication (NFC) interface.

[0157] In one embodiment of the present specification, the above components of the computing device 700 and Figure 7 Other components not shown in the figure may also be connected to each other, for example, via a bus. Figure 7 The computing device structure block diagram shown is for illustrative purposes only and is not intended to limit the scope of this specification. Those skilled in the art may add or replace other components as needed.

[0158] Computing device 700 may be any type of stationary or mobile computing device, including a mobile computer or mobile computing device (e.g., a tablet computer, personal digital assistant, laptop computer, notebook computer, netbook computer, etc.), a mobile phone (e.g., a smartphone), a wearable computing device (e.g., a smartwatch, smart glasses, etc.), or other types of mobile devices, or a stationary computing device such as a desktop computer or personal computer (PC). Computing device 700 may also be a mobile or stationary server.

[0159] The processor 720 is configured to execute the following computer-executable instructions, which, when executed by the processor, implement the steps of the above-mentioned industrial combustion optimization method.

[0160] The above is a schematic diagram of a computing device according to this embodiment. It should be noted that the technical solution of the computing device and the technical solution of the aforementioned industrial combustion optimization method are based on the same concept. For details not described in detail in the technical solution of the computing device, please refer to the description of the technical solution of the aforementioned industrial combustion optimization method.

[0161] An embodiment of the present specification further provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of the above-mentioned industrial combustion optimization method.

[0162] The above is a schematic diagram of a computer-readable storage medium according to this embodiment. It should be noted that the technical solution of this storage medium is based on the same concept as the technical solution of the aforementioned industrial combustion optimization method. For details not described in detail in the technical solution of the storage medium, please refer to the description of the technical solution of the aforementioned industrial combustion optimization method.

[0163] An embodiment of the present specification further provides a computer program, wherein when the computer program is executed in a computer, the computer is caused to execute the steps of the above-mentioned industrial combustion optimization method.

[0164] The above is a schematic diagram of a computer program according to this embodiment. It should be noted that the technical solution of this computer program and the technical solution of the aforementioned industrial combustion optimization method are based on the same concept. For details not described in detail in the technical solution of the computer program, please refer to the description of the technical solution of the aforementioned industrial combustion optimization method.

[0165] An embodiment of the present specification further provides a computer program product, comprising a computer program or instructions, which implement the steps of the above-mentioned industrial combustion optimization method when executed by a processor.

[0166] The above is a schematic diagram of a computer program product according to this embodiment. It should be noted that the technical solution of this computer program product is based on the same concept as the technical solution of the aforementioned industrial combustion optimization method. For details not described in detail in the technical solution of the computer program product, please refer to the description of the technical solution of the aforementioned industrial combustion optimization method.

[0167] The foregoing description of this specification describes specific embodiments. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in an order different from that described in the embodiments and still achieve the desired results. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order shown or the sequential order to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0168] The computer instructions include computer program code, which may be in source code form, object code form, executable file, or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal, and software distribution medium. It should be noted that the content contained in the computer-readable medium may be appropriately increased or decreased according to the requirements of patent practice. For example, in some regions, according to patent practice, computer-readable media does not include electric carrier signals and telecommunication signals.

[0169] It should be noted that for the aforementioned method embodiments, for the sake of simplicity of description, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the embodiments of this specification are not limited by the order of the actions described, because according to the embodiments of this specification, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in this specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the embodiments of this specification.

[0170] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant description of other embodiments.

[0171] The preferred embodiments disclosed above are intended only to help illustrate this specification. The optional embodiments do not exhaustively describe all details, nor do they limit the invention to the specific embodiments described. Obviously, many modifications and variations can be made based on the content of the embodiments of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the embodiments of this specification, so that those skilled in the art can better understand and utilize this specification. This specification is limited only by the claims and their full scope and equivalents.

Claims

1. An industrial combustion optimization method comprising: determining a combustion reference condition of the industrial combustion equipment and equipment air volume information of the industrial combustion equipment in response to a combustion optimization request triggered for the industrial combustion equipment; Loading a gas composition analysis model and a gas temperature analysis model associated with the industrial combustion equipment, wherein the gas composition analysis model is constructed based on the relationship between air volume and gas composition, and the gas temperature analysis model is constructed based on a time series prediction algorithm; Processing the device air volume information through the gas composition analysis model and the gas temperature analysis model to obtain gas composition information and gas temperature information corresponding to the device air volume information; When the gas composition information and the gas temperature information satisfy the combustion reference condition, the air volume of the industrial combustion equipment is adjusted according to the equipment air volume information.

2. The method according to claim 1, wherein determining the combustion baseline condition and equipment air volume information in response to a combustion optimization request triggered for the industrial combustion equipment comprises: In the event that a change in the combustion material of the industrial combustion equipment is detected, a combustion optimization request is constructed for the industrial combustion equipment; Determining an energy consumption optimization target corresponding to the industrial combustion equipment in response to the combustion optimization request, wherein the energy consumption optimization target is determined based on a target gas combustion heat and a target gas hot air heat; The energy consumption optimization target is used as the combustion reference condition, and air volume information to be tested is created for the industrial combustion equipment according to the combustion optimization request as the equipment air volume information.

3. The method according to claim 1, wherein the processing of the device air volume information by the gas composition analysis model and the gas temperature analysis model to obtain the gas composition information and gas temperature information corresponding to the device air volume information comprises: Determining the air volume change relationship recorded in the gas composition analysis model, and calculating the gas composition information corresponding to the device air volume information based on the device air volume information and the air volume change relationship, wherein the air volume change relationship records the relationship between air volume and gas composition; The device air volume information is input into the gas temperature analysis model, the device air volume information is encoded by the encoder in the gas temperature analysis model, and the encoding processing result is decoded by the decoder in the gas temperature analysis model to obtain the gas temperature information corresponding to the device air volume information.

4. The method according to claim 1, wherein when the gas composition information and the gas temperature information satisfy the combustion reference condition, adjusting the air volume of the industrial combustion equipment according to the equipment air volume information comprises: Calculate the gas combustion heat corresponding to the device air volume information according to the gas composition information, and calculate the hot air heat corresponding to the device air volume information according to the gas temperature information; Determine the consumed heat corresponding to the equipment air volume information according to the gas combustion heat and the hot air heat, and detect the consumed heat according to the combustion reference condition; When it is detected that the consumed heat satisfies the combustion reference condition, a step of adjusting the air volume of the industrial combustion equipment according to the equipment air volume information is performed.

5. The method according to claim 1, further comprising: processing the device air volume information using the gas composition analysis model and the gas temperature analysis model to obtain gas composition information and gas temperature information corresponding to the device air volume information; When the gas composition information and the gas temperature information do not meet the combustion reference condition, constructing the variable air volume information according to the equipment air volume information; Using the changed air volume information as the equipment air volume information, and performing the steps of loading a gas composition analysis model and a gas temperature analysis model associated with the industrial combustion equipment; When target air volume information corresponding to target gas composition information and target gas temperature information that meet the combustion reference condition is determined, the air volume of the industrial combustion equipment is adjusted according to the target air volume information.

6. The method according to any one of claims 1 to 5, further comprising: before the step of loading the gas composition analysis model and the gas temperature analysis model associated with the industrial combustion equipment is performed: Determining a first gas content and a second gas content contained in the combustion exhaust gas of the industrial combustion equipment using a gas analyzer, and establishing a gas content relationship between the first gas content and the second gas content; When the first gas content in the combustion exhaust gas changes, determining the changed second gas content according to the changed first gas content and the gas content relationship, and determining the first air volume information before the change and the second air volume information after the change; The gas composition analysis model is constructed based on the first air volume information, the second air volume information, the first gas content and the second gas content before the change, and the first gas content and the second gas content after the change.

7. The method according to any one of claims 1 to 5, further comprising: before the step of loading the gas composition analysis model and the gas temperature analysis model associated with the industrial combustion equipment is performed: Selecting a target sample pair from a sample set corresponding to the industrial combustion equipment, wherein the target sample pair consists of sample air volume information and sample gas temperature information; Inputting the sample air volume information into an initial gas temperature analysis model for processing to obtain predicted gas temperature information corresponding to the sample air volume information; A loss value is calculated based on the sample gas temperature information and the predicted gas temperature information, and the initial gas temperature analysis model is adjusted according to the loss value until the gas temperature analysis model that meets the training stop condition is obtained.

8. The method according to any one of claims 1 to 5, further comprising: triggering a combustion optimization request corresponding to the industrial combustion equipment at a preset time interval, and executing the step of determining combustion reference conditions and equipment air volume information in response to the combustion optimization request triggered for the industrial combustion equipment; Wherein, adjusting the air volume of the industrial combustion equipment according to the equipment air volume information includes: An air volume adjustment instruction is generated according to the equipment air volume information, and an air volume control unit of the industrial combustion equipment is adjusted based on the air volume adjustment instruction to adjust the air volume of the industrial combustion equipment.

9. An industrial combustion optimization method, applied to cloud-side equipment, comprising: receiving a combustion optimization request submitted by a terminal device of the industrial combustion equipment, and determining a combustion reference condition of the industrial combustion equipment and equipment air volume information of the industrial combustion equipment according to the combustion optimization request; Loading a gas composition analysis model and a gas temperature analysis model associated with the industrial combustion equipment, wherein the gas composition analysis model is constructed based on the relationship between air volume and gas composition, and the gas temperature analysis model is constructed based on a time series prediction algorithm; Processing the device air volume information through the gas composition analysis model and the gas temperature analysis model to obtain gas composition information and gas temperature information corresponding to the device air volume information; When the gas composition information and the gas temperature information meet the combustion reference condition, the equipment air volume information is sent to the end-side device for adjusting the air volume of the industrial combustion equipment.

10. An industrial combustion optimization device comprising: a determination module configured to determine a combustion reference condition of the industrial combustion equipment and equipment air volume information of the industrial combustion equipment in response to a combustion optimization request triggered for the industrial combustion equipment; a loading module configured to load a gas composition analysis model and a gas temperature analysis model associated with the industrial combustion equipment, wherein the gas composition analysis model is constructed based on the relationship between air volume and gas composition, and the gas temperature analysis model is constructed based on a time series prediction algorithm; a processing module configured to process the device air volume information using the gas composition analysis model and the gas temperature analysis model to obtain gas composition information and gas temperature information corresponding to the device air volume information; The adjustment module is configured to adjust the air volume of the industrial combustion equipment according to the equipment air volume information when the gas composition information and the gas temperature information meet the combustion reference condition.

11. An industrial combustion optimization device, applied to cloud-side equipment, comprising: a request receiving module configured to receive a combustion optimization request submitted by a terminal-side device of an industrial combustion device, and determine a combustion reference condition and device air volume information of the industrial combustion device according to the combustion optimization request; a loading model module configured to load a gas composition analysis model and a gas temperature analysis model associated with the industrial combustion equipment, wherein the gas composition analysis model is constructed based on the relationship between air volume and gas composition, and the gas temperature analysis model is constructed based on a time series prediction algorithm; an information processing module configured to process the device air volume information using the gas composition analysis model and the gas temperature analysis model to obtain gas composition information and gas temperature information corresponding to the device air volume information; The information sending module is configured to send the equipment air volume information to the end-side device when the gas composition information and the gas temperature information meet the combustion reference condition, so as to adjust the air volume of the industrial combustion equipment.

12. A computing device comprising: memory and processor; The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, the steps of the method according to any one of claims 1 to 9 are implemented.

13. A computer-readable storage medium storing computer-executable instructions, wherein the computer-executable instructions, when executed by a processor, implement the steps of the method according to any one of claims 1 to 9.

14. A computer program product comprising a computer program or instructions, which implement the steps of the method according to any one of claims 1 to 9 when executed by a processor.

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