A glass furnace combustion optimization and flue gas analysis and evaluation method

Abstract

The present invention relates to the field of glass kiln combustion energy conservation and waste heat utilization, and relates to a glass kiln combustion optimization and flue gas analysis and evaluation method, comprising a kiln, the kiln comprising a regenerator, a small furnace, a branch flue, and a main flue, and further comprising a DCS system, an online flue gas analyzer, and a detection unit. The DCS system is electrically connected to the online flue gas analyzer, and the online flue gas analyzer is electrically connected to the detection unit. There are multiple detection units, and the multiple detection units are respectively arranged in the regenerator, the branch flue, and the main flue. The online flue gas analyzer receives flue gas data from the detection units and transmits the flue gas data to the DCS system as a digital signal. The present invention collects flue gas data from the upper part of the regenerator in real time, calculates the air / fuel ratio of each small furnace, and combines the DCS system to accurately adjust the amount of combustion-supporting air, thereby optimizing the combustion state of the small furnace, thereby improving combustion efficiency and reducing fuel waste.

Description

Technical Field

[0001] The present invention relates to the field of glass furnace combustion energy saving and waste heat utilization, and particularly relates to a glass furnace combustion optimization and flue gas analysis and evaluation method. Background Art

[0002] The glass industry is a typical high-energy-consuming and high-emissions industry, with significant energy consumption and greenhouse gas emissions during its production process. Fuel costs typically account for approximately 40% of glass manufacturing costs. Therefore, improving furnace combustion efficiency and optimizing the sealing performance of flue gas systems are important ways to reduce production costs, energy consumption, and environmental pollution.

[0003] In the glass melting furnace combustion process, the excess air coefficient is a key parameter affecting combustion efficiency. If the excess air coefficient is too high, the heat generated by combustion will be carried away by the excess air, reducing combustion efficiency. If it is too low, it may lead to incomplete combustion of the fuel and increase pollutant emissions. In existing float glass furnaces, the regulation of the excess air coefficient usually relies on intermittent flue gas monitoring with a long cycle (such as once a week), or adjustments are based entirely on operator experience. This method not only has poor real-time performance but also cannot effectively cope with ambient temperature fluctuations (such as daytime temperature differences and seasonal changes), making it difficult to achieve optimal combustion efficiency.

[0004] Furthermore, in glass furnace flue gas emission systems, areas such as the regenerator, branch flues, and main flue are often under negative pressure. Due to poor structural sealing, outside air is easily drawn into the system, causing air leakage. Air leakage not only increases exhaust volume but also significantly reduces flue gas temperature, degrading the quality of flue gas entering waste heat recovery devices (such as waste heat boilers), further reducing the efficiency of flue gas waste heat recovery. Statistics show that the total air leakage in glass furnace systems is typically 15%-20% of the combustion flue gas volume, and can even reach over 50% when sealing is poor, resulting in significant energy waste and increased operating costs.

[0005] Currently, the industry lacks efficient and accurate real-time flue gas monitoring and air leakage analysis methods, making it difficult to effectively optimize combustion control and reduce air leakage losses. This technical shortcoming needs to be addressed by improving flue gas analysis technology, optimizing detection layouts, and strengthening automated control systems to achieve efficient, low-energy, and environmentally friendly kiln operation. Summary of the Invention

[0006] In order to solve the problems of the prior art, the present invention proposes a glass furnace combustion optimization and flue gas analysis and evaluation method.

[0007] The present invention is achieved through the following technical solutions:

[0008] A glass kiln combustion optimization and flue gas analysis and evaluation method includes a kiln, wherein the kiln includes a heat storage chamber, a small furnace, a branch flue and a main flue, and also includes a DCS system, an online flue gas analyzer, and a detection unit. The DCS system is electrically connected to the online flue gas analyzer, and the online flue gas analyzer is electrically connected to the detection unit. There are multiple detection units, and the multiple detection units are respectively arranged in the heat storage chamber, the branch flue and the main flue. The online flue gas analyzer receives flue gas data from the detection unit and transmits the flue gas data to the DCS system in the form of digital signals.

[0009] Furthermore, the detection unit includes detection unit A, detection unit B and detection unit C;

[0010] The detection unit A is arranged at the target wall position on the upper part of the regenerator corresponding to each small furnace, and is arranged symmetrically on both sides of the furnace center line to detect the combustion status in the furnace;

[0011] The detection unit B is arranged on the front section of each branch flue inlet, symmetrically arranged on both sides of the kiln center line, and is used to monitor the air leakage in the regenerator section;

[0012] The detection unit C is arranged at the branch flue section corresponding to the center of the main flue arch and the position where the branch flue converges into the main flue, and is used to monitor the air leakage of the branch flue and the main flue.

[0013] Furthermore, the online flue gas analyzer is set up, and multi-channel patrol detection is adopted to collect and analyze data from the upper detection unit A of the heat storage chamber, the branch flue inlet detection unit B and the main flue detection unit C point by point.

[0014] Furthermore, the online flue gas analyzers are provided in multiple units, and the detection units in different areas are arranged in groups;

[0015] The upper detection unit A of the regenerator shares an online flue gas analyzer;

[0016] The branch flue inlet detection unit B shares an online flue gas analyzer;

[0017] The main flue detection unit C shares an online flue gas analyzer.

[0018] Furthermore, combustion optimization includes the following steps:

[0019] S501, using the online flue gas analyzer of the detection unit above the regenerator to collect the residual oxygen content and combustible gas content data of the flue gas of each small furnace in real time;

[0020] S502. Calculate the air / fuel ratio of each small furnace based on the measurement point data corresponding to each small furnace, reflecting the mixing and combustion conditions of the fuel and combustion-supporting air in the small furnace;

[0021] S503, comparing the calculated air / fuel ratio with the system set value; if it deviates from the set value, it is determined that the combustion of the small furnace is unreasonable; if it is close to the set value, it is determined that the combustion state of the small furnace is reasonable;

[0022] S504. Control the combustion-supporting air control valve through the DCS system, adjust the combustion-supporting air volume of the corresponding small furnace according to the deviation of the air / fuel ratio, and optimize the combustion conditions of the small furnace.

[0023] Furthermore, the flue gas analysis evaluation includes the following steps:

[0024] S601, collecting flue gas data through the branch flue inlet detection unit and the corresponding regenerator upper detection unit; collecting flue gas data through the main flue detection unit and the corresponding branch flue inlet detection unit; collecting comprehensive flue gas data of the main flue section through the main flue summary detection unit;

[0025] S602: Compare the flue gas data from the branch flue inlet detection unit with the corresponding regenerator upper detection unit to calculate the air leakage coefficient of each regenerator section; compare the flue gas data from the main flue detection unit with the corresponding branch flue inlet detection unit to calculate the air leakage coefficient of the branch flue section, the reversing damper, and the manual adjustment damper; calculate the air leakage coefficient of the main flue by taking the weighted average of the flue gas data from the main flue summary detection unit and the main flue detection unit;

[0026] S603: The air leakage coefficient of each section is transmitted to the DCS system. If the air leakage coefficient exceeds the set threshold, an alarm signal is triggered.

[0027] Beneficial effects of the present invention:

[0028] (1) The present invention proposes a glass furnace combustion optimization and flue gas analysis and evaluation method. By collecting flue gas data from the upper part of the regenerator in real time, the air / fuel ratio of each small furnace is calculated. The amount of combustion air is precisely adjusted in combination with the DCS system, thereby optimizing the combustion state of the small furnace, thereby improving combustion efficiency and reducing fuel waste.

[0029] (2) The present invention proposes a glass furnace combustion optimization and flue gas analysis and evaluation method. By arranging detection units at key locations such as the regenerator, branch flue and main flue, the method can comprehensively monitor the air leakage of the system, calculate the air leakage coefficient of each section and issue an alarm in a timely manner, effectively reducing the impact of air leakage on the operating efficiency and combustion quality of the furnace;

[0030] (3) The present invention proposes a glass furnace combustion optimization and flue gas analysis and evaluation method, which uses an online flue gas analyzer to perform multi-channel patrol detection or regional detection, which can not only achieve accurate data collection but also improve data analysis efficiency, providing a reliable basis for combustion optimization and air leakage evaluation;

[0031] (4) The glass furnace combustion optimization and flue gas analysis and evaluation method proposed in this invention, combined with the DCS system, can automatically adjust the combustion-supporting air control valve to achieve full automation of combustion optimization; at the same time, if the air leakage coefficient exceeds the set threshold, it can also trigger an alarm signal, facilitating timely inspection and maintenance, thereby improving the safety and reliability of equipment operation;

[0032] (5) The present invention proposes a glass furnace combustion optimization and flue gas analysis and evaluation method, which optimizes combustion conditions and reduces air leakage, not only reduces fuel consumption, but also reduces the content of residual oxygen and combustible gas in the flue gas, thereby reducing pollutant emissions, which has positive significance for energy conservation, emission reduction and environmental protection.

[0033] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0034] Figure 1 Schematic diagram of flue gas measurement points for a glass furnace combustion optimization and flue gas analysis and evaluation method proposed in the present invention;

[0035] Figure 2 Schematic diagram of a flue gas detection system for a glass furnace combustion optimization and flue gas analysis and evaluation method proposed in the present invention;

[0036] Figure 3 This is a schematic diagram of the terminal equipment of a glass furnace combustion optimization and flue gas analysis and evaluation method proposed in the present invention;

[0037] Figure 4 A schematic diagram of a readable storage medium for a glass furnace combustion optimization and flue gas analysis and evaluation method proposed in the present invention;

[0038] In the figure, 200 - terminal device, 210 - memory, 211 - RAM, 212 - cache memory, 213 - ROM, 214 - program / utility, 215 - program module, 220 - processor, 230 - bus, 240 - external device, 250 - I / O interface, 260 - network adapter, 300 - program product. DETAILED DESCRIPTION

[0039] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with examples and drawings. The exemplary embodiments of the present invention and their descriptions are only used to explain the present invention and are not intended to limit the present invention.

[0040] Example 1

[0041] refer to Figure 1 A glass kiln combustion optimization and flue gas analysis and evaluation method includes a kiln, wherein the kiln includes a heat storage chamber, a small furnace, a branch flue and a main flue, and also includes a DCS system, an online flue gas analyzer, and a detection unit. The measuring point in this embodiment is the detection unit.

[0042] The DCS system is electrically connected to an online flue gas analyzer, and the online flue gas analyzer is electrically connected to a detection unit. There are multiple detection units, and the multiple detection units are respectively arranged in the heat storage chamber, the branch flue and the main flue. The online flue gas analyzer receives the flue gas data from the detection unit and transmits the flue gas data to the DCS system in the form of digital signals.

[0043] In this embodiment, measuring points A are arranged above the regenerator. Specifically, measuring points AR1, AR2, . . ., AL1, AL2, . . . are arranged symmetrically on the upper target wall of the regenerator corresponding to each small furnace, near the kiln exhaust port. These measuring points A detect the composition of the flue gas generated by combustion in the kiln. The data reflects the combustion status of each small furnace. Since air leakage in the upper part of the regenerator is minimal and the ambient temperature is moderate, the data from measuring points A is accurate and reliable.

[0044] In this embodiment, measuring points are arranged on the front section of each branch flue inlet, namely BR1, BR2..., BL1, BL2..., and arranged symmetrically on both sides. Measuring point B detects the flue gas composition after heat exchange in the heat storage chamber to evaluate the air leakage of the heat storage chamber.

[0045] In this embodiment, measuring points C1, C2... are arranged at the center of the main flue arch corresponding to each branch flue, and measuring point CM is set at the main flue summary position. Measuring points C1, C2... reflect the air leakage of the branch flue section and the damper, and measuring point CM reflects the air leakage of the main flue as a whole.

[0046] In this embodiment, the flue gas analyzer can be flexibly configured according to needs, and the following two arrangements are adopted:

[0047] Single-unit multi-channel patrol detection: deploy one flue gas analyzer to collect and analyze data point by point at all measuring points.

[0048] Arrangement by area: one analyzer is connected to all measuring points A on the upper part of the regenerator, one analyzer is connected to all measuring points B at the inlet of the branch flue, and one analyzer is connected to all measuring points C of the main flue, including measuring point CM.

[0049] Flue gas data from all measuring points are transmitted to the DCS system via digital signals and used for combustion optimization and air leakage analysis.

[0050] Example 2

[0051] This embodiment proposes a method for combustion optimization and air leakage analysis based on embodiment 1.

[0052] refer to Figure 2 , this embodiment proposes a process of combustion optimization and air leakage analysis.

[0053] The combustion optimization includes:

[0054] 1. Collect data from measuring points AR1, AR2, etc. and calculate the air / fuel ratio of each small furnace.

[0055] 2. Compare the calculation result with the set value (or AI optimal value): If the air / fuel ratio deviates from the set value, it is determined that the small furnace combustion is unreasonable; if the air / fuel ratio is close to the set value, it is determined that the small furnace combustion is reasonable.

[0056] 3. The DCS system adjusts the combustion air control valve of the corresponding small furnace according to the deviation to optimize the combustion conditions.

[0057] The test data required for combustion optimization include residual oxygen content , that is, the flue gas measurement point corresponding to the small furnace on the upper part of the regenerator (such as AR1, AR2...); combustible gas content 、 etc., also from the measuring point of the corresponding small furnace; flue gas temperature Used to correct calculations for air density and fuel combustion products.

[0058] The air / fuel ratio calculation formula is:

[0059] in It represents the volume flow of air entering the small furnace per unit time, Indicates the volume of fuel entering the small furnace per unit time. For solid or liquid fuel, Indicates the mass of fuel entering the small furnace per unit time kg

[0060] Calculate the theoretical air / fuel ratio based on the fuel type , the theoretical air / fuel ratio is:

[0061]

[0062] The actual air / fuel ratio is calculated based on the air content in the flue gas:

[0063]

[0064] Where 100 is the volume percentage of air. is the volume fraction of oxygen in the flue gas.

[0065] If the combustible gas in the flue gas is 、 The content is obviously high, indicating that the combustion is incomplete, and because the actual composition of natural gas contains 、 Other combustible components, so the air / fuel ratio needs to be corrected:

[0066]

[0067]

[0068] Volume fraction: calculated based on the carbon content in the fuel; Volume fraction: calculated based on the hydrogen content in the fuel; Volume fraction: When oxygen in the air supports combustion, the volume of the remaining nitrogen is 1 / 2 of the volume of oxygen. times.

[0069] The total combustible gas content indicates the amount of Volume percentage, Indicates the combustion mode correction coefficient of the glass furnace combustion mode setting.

[0070] Compare the calculated air / fuel ratio value with the system setting value For comparison:

[0071] like , then there is excessive combustion air and low efficiency, and the amount of combustion air needs to be reduced.

[0072] like , then there is excess fuel and there may be incomplete combustion problems, and the amount of combustion air needs to be increased.

[0073] The DCS system adjusts the combustion air control valve according to the deviation to achieve the optimal air-fuel ratio and ensure that combustion efficiency and emission indicators meet the standards.

[0074] The air leakage analysis includes:

[0075] 1. Compare the data of measuring points BR1, BR2... with the corresponding measuring points AR1, AR2... to calculate the air leakage coefficient of the regenerator section.

[0076] 2. Compare the data of measuring points C1, C2... with the corresponding measuring points BR1, BR2..., and calculate the air leakage coefficient of the branch flue section and the damper.

[0077] 3. Compare the weighted average values ​​of the data at measuring points CM and C1, C2, etc., and calculate the air leakage coefficient of the main flue section.

[0078] 4. The air leakage coefficient of each section is transmitted to the DCS system for display, and the alarm function is set. When the air leakage coefficient exceeds the set threshold, the DCS system triggers an alarm signal to remind the operator to check and handle it.

[0079] In this embodiment, the air leakage analysis is performed in combination with the GB / T 25328-2010 standard. The air leakage coefficient is used to measure the degree of air dilution in the flue gas, and the air leakage situation is reflected by the changes in the concentrations of oxygen and carbon dioxide.

[0080] The excess air coefficient formula is defined by GB / T 25328-2010:

[0081] in, Indicates the volume fraction of oxygen in flue gas; represents the volume fraction of carbon monoxide; Indicates the hydrogen gas volume fraction; represents the volume fraction of methane; Volume fraction of residual oxides (negligible).

[0082] By measuring the changes in the excess air coefficient of the flue gas components at the measuring point, the air leakage coefficient of different areas can be calculated.

[0083] (1) Calculation of air leakage in the regenerator

[0084] By comparing the data of measuring point A and measuring point B, calculate the air leakage of the heat storage chamber

[0085]

[0086] pass and Calculate the air leakage coefficient of the heat storage chamber:

[0087] .

[0088] (2) Calculation of air leakage in flue ducts

[0089] By comparing the data of measuring points B and C, calculate the air leakage of the flue and damper

[0090] and The calculation method of excess air coefficient is the same as above.

[0091] The air leakage coefficient of the branch flue is:

[0092] .

[0093] (3) Calculation of air leakage in the main flue

[0094] By comparing the data of measuring point C and summary measuring point CM, the air leakage situation of the main flue section can be reflected.

[0095]

[0096]

[0097] The main flue air leakage coefficient is:

[0098] .

[0099] Compare the air leakage coefficient with the threshold set by the system. If it is within the normal range, it means that the corresponding section is well sealed and no adjustment is required.

[0100] If the threshold is exceeded, an air leakage problem will be indicated, triggering the DCS system alarm, reminding the operator to check and repair the seal. The DCS system displays the air leakage coefficient of each section and can generate a trend curve for the operator to monitor.

[0101] Example 3

[0102] refer to Figure 3 Based on Example 1, this example proposes a terminal device for a glass furnace combustion optimization and flue gas analysis and evaluation method. The terminal device 200 includes at least one memory 210, at least one processor 220, and a bus 230 connecting different platform systems.

[0103] The memory 210 may include a readable medium in the form of a volatile memory, such as a RAM 211 and / or a cache memory 212 , and may further include a ROM 213 .

[0104] The memory 210 further stores a computer program that can be executed by the processor 220, so that the processor 220 executes the application of any one of the above-mentioned glass furnace combustion optimization and flue gas analysis and evaluation methods in the embodiments of the present application. The specific implementation method is consistent with the implementation method and the technical effect achieved in the above-mentioned application embodiments, and some of the contents are not repeated here. The memory 210 may also include a program / utility 214 having a set (at least one) of program modules 215. Such program modules include but are not limited to: an operating system, one or more application programs, other program modules, and program data. Each of these examples or some combination may include the implementation of a network environment.

[0105] Accordingly, the processor 220 may execute the aforementioned computer programs, as well as the program / utility 214 .

[0106] The bus 230 may represent one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus architectures.

[0107] The terminal device 200 can also communicate with one or more external devices 240, such as keyboards, pointing devices, Bluetooth devices, etc., and can also communicate with one or more devices that can interact with the terminal device 200, and / or communicate with any device that enables the terminal device 200 to communicate with one or more other computing devices (such as routers, modems, etc.). Such communication can be carried out through the I / O interface 250. In addition, the terminal device 200 can also communicate with one or more networks (such as local area networks (LANs), wide area networks (WANs) and / or public networks, such as the Internet) through the network adapter 260. The network adapter 260 can communicate with other modules of the terminal device 200 through the bus 230. It should be understood that although not shown in the figure, other hardware and / or software modules can be used in conjunction with the terminal device 200, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID systems, tape drives, and data backup storage platforms.

[0108] Example 4

[0109] refer to Figure 4 This embodiment proposes a computer-readable storage medium for a glass furnace combustion optimization and flue gas analysis and evaluation method. Instructions are stored on the computer-readable storage medium. When the instructions are executed by the processor, any one of the above-mentioned glass furnace combustion optimization and flue gas analysis and evaluation methods is implemented. The specific implementation method is consistent with the implementation method and the technical effect achieved in the above-mentioned application embodiment, and some contents will not be repeated here.

[0110] Figure 4The program product 300 provided in this embodiment for implementing the above-mentioned application is shown. It can adopt a portable compact disc read-only memory (CD-ROM) and include program code, and can be run on a terminal device, such as a personal computer. However, the program product 300 of the present invention is not limited to this. In this embodiment, the readable storage medium can be any tangible medium that contains or stores a program, and the program can be used by or in conjunction with an instruction execution system, device or device. The program product 300 can adopt any combination of one or more readable media. The readable medium can be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of readable storage media (a non-exhaustive list) include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0111] A computer-readable storage medium may include a data signal transmitted in baseband or as part of a carrier wave, carrying readable program code. This transmitted data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. The readable storage medium may also be any readable medium other than a readable storage medium, which can transmit, transmit, or transfer a program for use by or in conjunction with an instruction execution system, apparatus, or device. The program code contained on the readable storage medium may be transmitted using any suitable medium, including but not limited to wireless, wired, optical cable, RF, etc., or any suitable combination thereof. The program code for performing the operations of the present invention may be written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Java, C++, etc., as well as conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, as a standalone software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server. Where a remote computing device is involved, the remote computing device may be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computing device (e.g., through the Internet using an Internet service provider).

[0112] The basic principles, main features, and advantages of the present invention are shown and described above. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions are merely illustrative of the principles of the present invention. Various changes and modifications may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and modifications are intended to fall within the scope of the present invention. The scope of protection claimed in the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for combustion optimization and flue gas analysis and evaluation of a glass furnace, comprising a furnace, wherein the furnace comprises a regenerator, a small furnace, a branch flue and a main flue, characterized in that: The system also includes a DCS system, an online flue gas analyzer, and a detection unit. The DCS system is electrically connected to the online flue gas analyzer, which is electrically connected to the detection unit. There are multiple detection units, which are respectively arranged in the heat storage chamber, the branch flue, and the main flue. The online flue gas analyzer receives flue gas data from the detection unit and transmits the flue gas data to the DCS system in the form of digital signals. The detection unit includes detection unit A, detection unit B and detection unit C; The detection unit A is arranged at the target wall position on the upper part of the regenerator corresponding to each small furnace, and is arranged symmetrically on both sides of the furnace center line to detect the combustion status in the furnace; The detection unit B is arranged on the front section of each branch flue inlet, symmetrically arranged on both sides of the kiln center line, and is used to monitor the air leakage in the regenerator section; The detection unit C is arranged at the center of the branch flue section corresponding to the main flue arch to monitor the air leakage of the branch flue. It is also arranged at the main flue convergence position to monitor the air leakage of the main flue. Combustion optimization includes the following steps: S501, using the online flue gas analyzer of the detection unit A located at the target wall position above the regenerator, to collect the residual oxygen content and combustible gas content data of the flue gas of each small furnace in real time; S502. Calculate the air / fuel ratio of each small furnace based on the measurement point data corresponding to each small furnace, reflecting the mixing and combustion conditions of the fuel and combustion-supporting air in the small furnace; S503, comparing the calculated air / fuel ratio with the system set value; if it deviates from the set value, it is determined that the combustion of the small furnace is unreasonable; if it is close to the set value, it is determined that the combustion state of the small furnace is reasonable; S504, control the combustion-supporting air control valve through the DCS system, adjust the combustion-supporting air volume of the corresponding small furnace according to the deviation of the air / fuel ratio, and optimize the combustion conditions of the small furnace; Flue gas analysis evaluation includes the following steps: S601. Collect flue gas data via the detection unit B located on the crown in front of the branch flue entrance and the detection unit A located at the corresponding target wall position on the upper part of the regenerator; collect flue gas data via the detection unit C located at the center of the crown in the branch flue section corresponding to the main flue and the detection unit B located on the crown in front of the branch flue entrance; collect comprehensive flue gas data of the main flue section via the detection unit C located at the summing position of the main flue; S602: Compare the flue gas data from detection unit B located on the crown of the front section of the branch flue entrance with the corresponding detection unit A located on the target wall above the regenerator to calculate the air leakage coefficient of each regenerator section. Compare the flue gas data from detection unit C located at the center of the main flue crown of the branch flue section with the corresponding detection unit B located on the crown of the front section of the branch flue entrance to calculate the air leakage coefficient of the branch flue section, the reversing damper, and the manual adjustment damper. Calculate the air leakage coefficient of the main flue by taking the weighted average of the flue gas data from detection unit C located at the main flue summary position and the detection unit C located at the center of the main flue crown of the branch flue section. S603: The air leakage coefficient of each section is transmitted to the DCS system. If the air leakage coefficient exceeds the set threshold, an alarm signal is triggered.

2. A glass furnace combustion optimization and flue gas analysis and evaluation method according to claim 1, characterized in that: The online flue gas analyzer is set up in one unit, and adopts multi-channel patrol detection to collect and analyze data point by point for the detection unit A located at the target wall position on the upper part of the heat storage chamber, the detection unit B located at the position on the crown of the front section of the branch flue entrance, the detection unit C located at the summary position of the main flue, and the detection unit C located at the center position of the crown of the main flue corresponding to the branch flue section.

3. A glass furnace combustion optimization and flue gas analysis and evaluation method according to claim 1, characterized in that: The online flue gas analyzers are provided in multiple units, and the detection units in different areas are arranged in groups; The detection unit A located at the target wall position on the upper part of the regenerator shares a common online flue gas analyzer; The detection unit B located at the upper portion of the front section of the branch flue entrance shares a common online flue gas analyzer; The detection unit C located at the main flue convergence position and the detection unit C located at the center position of the main flue arch corresponding to the branch flue section share a common online flue gas analyzer.

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