Exhaust gas temperature anomaly detection system and method based on air flow correction

Abstract

The invention discloses an exhaust gas temperature anomaly detection system and method based on air flow correction, and relates to the technical field of power station boiler exhaust gas temperature evaluation, and the system comprises a flow calculation module, a gas parameter module, a temperature parameter module and a controller; the flow calculation module is used for acquiring a mass-flow ratio; the gas parameter module is used for acquiring an air flow correction coefficient; the temperature parameter module is used for acquiring a first exhaust gas temperature; the controller is used for obtaining the second exhaust gas temperature according to the mass-flow ratio, the air flow correction coefficient and the first exhaust gas temperature and conducting abnormal temperature correction. The exhaust gas temperature anomaly detection system based on air flow correction adapts to operation conditions of different units, equipment damage and safety risks caused by temperature anomaly are reduced, the comparison of the corrected exhaust gas temperature and a design value provides a scientific basis for optimizing boiler operation parameters, the fuel use efficiency is improved, and the energy consumption is reduced. The energy consumption is reduced.

Description

Technical Field

[0001] The invention relates to the technical field of exhaust temperature evaluation of power station boilers, and in particular to an exhaust temperature anomaly detection system and method based on air flow correction. Background Art

[0002] The equipment boundary of the boiler side of a thermal power plant is the air preheater, and the exhaust gas temperature at the outlet of the air preheater is an important parameter of the boiler. In the actual operation of the boiler in a thermal power plant, there is a large deviation between the actual coal quality of most units and the designed coal quality, so the air flow required for combustion also has a large deviation from the designed flow; there is also a serious air leakage in the boiler smoke and air system pipeline, which makes the air flow deviate from the designed flow. The internal heat exchange element of the boiler is a large regenerative heat exchanger. The high-temperature flue gas is used to heat the low-temperature air in the air preheater. If the low-temperature air flow changes, the exhaust temperature will also change accordingly. If the air flow entering the air preheater increases, the exhaust temperature will decrease accordingly; if the air flow entering the air preheater decreases, the exhaust temperature will increase accordingly. Since the air flow has a great influence on the level of exhaust temperature in actual operation, it is necessary to correct the exhaust temperature based on the air flow. Summary of the invention

[0003] In view of the above-mentioned problems, the present invention is proposed.

[0004] Therefore, the technical problem solved by the present invention is that when the air flow rate entering the boiler changes, it will have a great impact on the preheating of cold air, the drying of the pulverizing system, the transportation of coal powder, and the combustion process. If the actual exhaust temperature is still used to directly evaluate and calculate, there will be a large deviation in the operating state of the air preheater and the calculation of boiler efficiency. Therefore, it is necessary to use the air flow rate to correct the exhaust temperature, and then compare the corrected exhaust temperature with the design value to evaluate whether the exhaust temperature is better or worse than the design value, and then evaluate and calculate the operating state of the unit.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: a smoke exhaust temperature abnormality detection system based on air flow correction, comprising:

[0006] Flow calculation module, gas parameter module, temperature parameter module and controller;

[0007] The flow calculation module is used to obtain the mass flow ratio;

[0008] The gas parameter module is used to obtain the air flow correction coefficient;

[0009] The temperature parameter module is used to obtain the first exhaust temperature;

[0010] The controller is used to obtain the second exhaust gas temperature through the mass flow ratio, the air flow correction coefficient and the first exhaust gas temperature, and perform abnormal temperature correction.

[0011] As a preferred solution of the exhaust temperature anomaly detection system based on air flow correction described in the present invention, wherein: the flow calculation module includes a first parameter acquisition module and a second parameter acquisition module.

[0012] As a preferred solution of the exhaust temperature anomaly detection system based on air flow correction described in the present invention, wherein: the first parameter acquisition module is suitable for obtaining the ratio of the first mass flow when the unit is equipped with an air mass flow measurement module;

[0013] The second parameter acquisition module is suitable for acquiring the second mass flow ratio when the unit does not have an air mass flow measurement module.

[0014] As a preferred solution of the exhaust temperature anomaly detection system based on air flow correction described in the present invention, wherein: the acquisition of the air flow correction coefficient includes determining the air flow correction coefficient based on the air leakage rate, the average specific heat of air and the average specific heat of flue gas.

[0015] As a preferred solution of the exhaust temperature abnormality detection system based on air flow correction described in the present invention, the air flow correction coefficient is expressed as:

[0016]

[0017] Among them, AL represents the air leakage rate, c PA represents the average specific heat of air, c PG Indicates the average specific heat of flue gas.

[0018] As a preferred solution of the exhaust temperature anomaly detection system based on air flow correction described in the present invention, wherein: the first exhaust temperature includes obtaining the inlet smoke temperature, the inlet air temperature and the exhaust temperature through sensors.

[0019] As a preferred solution of the exhaust temperature abnormality detection system based on air flow correction described in the present invention, the second exhaust temperature includes if the unit is equipped with an air mass flow measurement module, which is expressed as:

[0020]

[0021] Among them, t G15CR Indicates the second exhaust gas temperature, m A ′ represents the change of air mass flow rate, m A represents the air mass flow rate, t G15 represents the exhaust gas temperature, t A8 represents the inlet air temperature, tG14 Indicates the inlet flue gas temperature;

[0022] If the unit does not have an air mass flow measurement module, it is expressed as,

[0023]

[0024] Among them, p d ' represents the change of dynamic pressure at the measuring section, ρ' represents the change of air density at the measuring section, p d represents the dynamic pressure at the measuring section, and ρ represents the air density at the measuring section.

[0025] Another object of the present invention is to provide a method for detecting exhaust temperature anomaly based on air flow correction, which can obtain boiler operation data and air flow correction coefficient in real time, thereby solving the problem of inaccurate exhaust temperature evaluation caused by failure to fully consider air flow changes in existing temperature monitoring methods, thereby improving the operating efficiency and safety of the boiler.

[0026] To solve the above technical problems, the present invention provides the following technical solutions: a method for detecting abnormal exhaust temperature based on air flow correction, comprising: obtaining boiler operation data; obtaining the mass flow ratio; obtaining the air flow correction coefficient; obtaining the first exhaust temperature; obtaining the second exhaust temperature, and performing abnormal temperature correction.

[0027] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of the exhaust gas temperature abnormality detection method based on air flow correction as described above are implemented.

[0028] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the exhaust gas temperature abnormality detection method based on air flow correction as described above.

[0029] Beneficial effects of the present invention: The exhaust temperature anomaly detection method based on air flow correction provided by the present invention is adaptable to the operating conditions of different units, ensuring accurate temperature monitoring under various circumstances, thereby reducing equipment damage and safety risks caused by temperature anomalies.

[0030] At the same time, the comparison between the corrected exhaust gas temperature and the design value provides a scientific basis for optimizing boiler operating parameters, improving fuel efficiency, reducing energy consumption, and thus achieving the goal of energy saving and consumption reduction. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0032] Figure 1 A system structure diagram of a smoke exhaust temperature anomaly detection system based on air flow correction provided by an embodiment of the present invention.

[0033] Figure 2 A smoke exhaust temperature detection flow chart of an abnormal smoke exhaust temperature detection system based on air flow correction provided by an embodiment of the present invention when an air mass flow measurement module is provided.

[0034] Figure 3 A flowchart of exhaust temperature detection when an exhaust temperature abnormality detection system based on air flow correction is provided in accordance with an embodiment of the present invention and does not have an air mass flow measurement module. DETAILED DESCRIPTION

[0035] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0036] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0037] Example 1

[0038] Reference Figure 1-Figure 3 , as an embodiment of the present invention, provides a method for detecting abnormal exhaust temperature based on air flow correction, comprising:

[0039] A flow calculation module 100, a gas parameter module 200, a temperature parameter module 300 and a controller 400;

[0040] The flow calculation module 100 is used to obtain the mass flow ratio;

[0041] The gas parameter module 200 is used to obtain the air flow correction coefficient;

[0042] The temperature parameter module 300 is used to obtain the first exhaust temperature;

[0043] The controller 400 is used to obtain the second exhaust gas temperature through the mass flow ratio, the air flow correction coefficient and the first exhaust gas temperature, and perform abnormal temperature correction.

[0044] The flow calculation module 100 includes a first parameter acquisition module and a second parameter acquisition module.

[0045] The first parameter acquisition module is suitable for obtaining the first mass flow ratio when the unit is equipped with an air mass flow measurement module;

[0046] The second parameter acquisition module is suitable for acquiring the second mass flow ratio when the unit does not have an air mass flow measurement module.

[0047] The obtaining of the air flow correction coefficient includes determining the air flow correction coefficient based on the air leakage rate, the average specific heat of air and the average specific heat of flue gas.

[0048] The first exhaust gas temperature includes obtaining an inlet flue gas temperature, an inlet air temperature and an exhaust gas temperature through sensors.

[0049] According to the existing technology, the exhaust temperature is corrected by heat capacity ratio. Since the calculation process of this method involves multiple dimensionless quantities such as heat transfer effectiveness, heat capacity ratio, number of heat transfer units, etc., these dimensionless quantities are coupling data of the air preheater's own parameters and actual operating parameters, which are difficult for operation and maintenance personnel to obtain. This method uses air flow to correct the exhaust temperature. Air flow is very easy for operators to obtain data. If there is no air flow data, air density and air differential pressure can also be used for alternative calculation. This method is very friendly to actual operators and has enhanced operability.

[0050] The heat capacity ratio in ASME PTC 4.3-2017 Air Preheater Performance Test Procedure is defined by the following relationship.

[0051]

[0052] Where XR represents the heat capacity ratio; m A Indicates air mass flow rate, kg / s; m G Indicates the flue gas mass flow rate, kg / s; c PA represents the average specific heat of air, J / (kg·k); c PG Indicates the average specific heat of flue gas, J / (kg·k); t G14 Indicates the inlet flue gas temperature, °C; t G15NL Indicates the exhaust gas temperature after leakage correction, ℃; t A9 Indicates outlet air temperature, °C; t A8Indicates the inlet air temperature, °C.

[0053] Considering the change of air mass flow rate from the design value and the change of exhaust temperature caused by the change of air mass flow rate, the following relationship exists.

[0054]

[0055] Among them, m A ′ represents air mass flow rate (change), kg / s; t G15NLδA It indicates the exhaust temperature (air volume change) after leakage correction, ℃.

[0056] The change is the operating condition to be corrected or the actual operating condition.

[0057] Then, combining equations (1) and (2), we can obtain:

[0058]

[0059] After calculation, we can get:

[0060]

[0061] At the same time, according to the definition of exhaust temperature, there is the following relationship:

[0062]

[0063] Where AL represents the air leakage rate, %; t G15 Indicates exhaust temperature, ℃.

[0064] To simplify the calculation, let Then formula (5) can be simplified as:

[0065] t G15NL =ε(t G15 -t A8 )+t G15 (6)

[0066] In the correction calculation, both sides of the equation use the exhaust gas temperature corrected based on the air flow rate. Based on equation (6), in the correction calculation, there is the following equation.

[0067] t G15NLδA =ε(t G15CR -t A8 )+t G15CR (7)

[0068] Among them, t G15CR Indicates exhaust temperature (corrected for air flow), °C.

[0069] Combining equations (4) and (7), we get:

[0070]

[0071] Then we can get:

[0072]

[0073] For units equipped with an air mass flow measurement module, the mass flow rate can be directly substituted into the above formula for direct calculation.

[0074] For units without air mass flow measurement modules, the differential pressure module, pressure module, and temperature module can be used for corresponding calculations. The flow calculation formula is as follows.

[0075]

[0076] Among them, q v Indicates the air volume flow rate at the measuring section, m 3 / s; k is the calibration factor of the measuring device; A is the area of ​​the measuring section, m 2 ρ d represents the dynamic pressure at the measuring section, Pa; ρ represents the air density at the measuring section, kg / m 3 .

[0077]

[0078] Where ρ0 represents the density of air under standard conditions, kg / m 3 , air takes ρ0=1.293kg / m 3 ρ a Indicates the atmospheric pressure at the flow measurement point, Pa; ρ s represents the static pressure at the flow measurement section, Pa; t represents the air temperature at the flow measurement section, ℃.

[0079] Air mass flow rate is the product of volume flow rate and density:

[0080] m A =q v ×ρ (12)

[0081] In formula (9), the calculation of mA is The type is the ratio type of the mass flow rate of the two working conditions. Therefore, the same common divisor in equation (12) can be reduced to simplify mA to

[0082] For units without air mass flow measurement modules, the following simplified formula can be obtained.

[0083]

[0084] Among them, p d' represents the dynamic pressure (change) at the measuring section, Pa; ρ' represents the air density (change) at the measuring section, kg / m 3 .

[0085] Example 2

[0086] According to an embodiment of the present invention, a method for detecting abnormal exhaust temperature based on air flow correction is provided, comprising:

[0087] Obtain boiler operation data; obtain mass flow ratio; obtain air flow correction coefficient; obtain first exhaust temperature; obtain second exhaust temperature, and perform abnormal temperature correction. The second exhaust temperature is the exhaust temperature corrected based on air flow.

[0088] Compare the abnormal exhaust temperature with the design value. If the abnormal exhaust temperature is lower than the design value, it indicates that the unit is operating well. If the abnormal exhaust temperature is higher than the design value, it indicates that the unit is operating poorly. Based on the "Power Plant Boiler Performance Test Procedure: GB / T 10184-2015" and referring to the actual parameters of the power plant, if the boiler exhaust temperature is 10°C higher than the design value, the boiler efficiency will drop by about 0.5 percentage points.

[0089] Example 3

[0090] An embodiment of the present invention is different from the first two embodiments in that:

[0091] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program codes.

[0092] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0093] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0094] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0095] Example 4

[0096] As an embodiment of the present invention, a method for detecting abnormal exhaust temperature based on air flow correction is provided. In order to verify the beneficial effects of the present invention, a scientific demonstration is carried out through simulation experiments.

[0097] The boiler of a power plant is taken as the research object. The boiler is an ultra-supercritical parameter, single reheat, counter combustion, balanced ventilation, solid slag discharge, all-steel frame, π-type boiler manufactured by Dongfang Boiler Factory. The model is DG3000 / 26.15-II1. The pulverizing system adopts a cold primary air positive pressure direct blowing pulverizing system, and each boiler is equipped with 6 HP1163 / Dyn medium-speed roller mills. The basic design parameters of the boiler equipment and the boiler performance parameters are shown in Table 1.

[0098] Table 1 Main design parameters of boiler

[0099]

[0100] The calculation conditions of this embodiment are the actual operating parameters of the boiler under 75% THA conditions. Assuming that the boiler has a device that can measure the air mass flow rate, the specific calculation parameters are shown in Table 2 below.

[0101] Table 2 Calculation parameters

[0102] project symbol data unit Air mass flow <![CDATA[m a ]]> 255.3 kg / s Air mass flow (variable) <![CDATA[m a ']]> 265.8 kg / s Mass flow ratio <![CDATA[m a ' / m a ]]> 1.041 Air leakage rate AL 6.21 ％ Average specific heat of air <![CDATA[c pa ]]> 1.111 J / (kg·k) Average specific heat of flue gas <![CDATA[c pg ]]> 1.159 J / (kg·k) coefficient ε 0.0596 Inlet air temperature <![CDATA[t a8 ]]> 310.4 ℃ Inlet flue gas temperature <![CDATA[t g14 ]]> 361.2 ℃ Exhaust temperature <![CDATA[t g15 ]]> 132.3 ℃ Exhaust temperature (air flow correction) <![CDATA[t g15cr ]]> 123.0 ℃

[0103] Step 101, obtain the air mass flow m A 255.3kg / s, air mass flow rate (change) m A ′ is 265.8kg / s.

[0104] Step 102, the mass flow rate ratio is calculated to be: It is 1.041.

[0105] Step 103, obtain the air leakage rate AL of 6.21% and the average specific heat of air c PA is 1.111 J / (kg·k), the average specific heat of flue gas c PG It is 1.159J / (kg·k).

[0106] Step 104, by The coefficient ε is 0.0596.

[0107] Step 105, obtaining the inlet flue gas temperature t G14 is 361.2℃, inlet air temperature t A8 is 310.4℃, exhaust gas temperature t G15 It is 132.3℃.

[0108] Step 106, by The exhaust temperature (air flow correction) t G15CR It is 123.0℃.

[0109] The exhaust temperature design value of the boiler is 124℃, the uncorrected exhaust temperature is 132.3℃, and the corrected exhaust temperature is 123.0℃. When the air flow correction is not performed, the exhaust temperature is 8.3℃ higher than the design value; after the air flow correction, the exhaust temperature is 1℃ lower than the design value. According to the actual parameter calculation of the current power plant, a 10℃ change in the boiler exhaust temperature affects the boiler efficiency by about 0.5 percentage points. If no correction is made, it will be considered that the exhaust temperature is high at this time, which will affect the boiler efficiency by about 0.4 percentage points. However, if the deviation of the air volume is eliminated, the exhaust temperature of the boiler is at a good level. At the same time, in order to reduce the exhaust temperature during operation, the energy-saving direction should be to reduce the air flow, explore the reasons for the high air flow, and seek to reduce the air flow.

[0110] Example 5

[0111] As an embodiment of the present invention, a method for detecting abnormal exhaust temperature based on air flow correction is provided. In order to verify the beneficial effects of the present invention, a scientific demonstration is carried out through simulation experiments.

[0112] The calculation conditions of this embodiment are the actual operating parameters of the boiler under 75% THA conditions. Assuming that the boiler does not have equipment for measuring the air mass flow rate, the specific calculation parameters are shown in Table 3 below.

[0113] Table 3 Calculation parameters

[0114] project symbol data unit Measuring dynamic pressure at the cross section <![CDATA[p d ]]> 39.4 Pa Measuring air density at a cross section ρ 1.169 <![CDATA[kg / m 3 ]]> Dynamic pressure (change) at the measuring section <![CDATA[p d ']]> 43.1 Pa Air density at the measurement section (change) ρ' 1.158 <![CDATA[kg / m 3 ]]> Mass flow ratio <![CDATA[(p d p / p d 'p')^0.5]]> 1.041 Air leakage rate AL 6.21 ％ Average specific heat of air <![CDATA[c pa ]]> 1.111 J / (kg·k) Average specific heat of flue gas <![CDATA[c pg ]]> 1.159 J / (kg·k) coefficient ε 0.0596 Inlet air temperature <![CDATA[t a8 ]]> 310.4 ℃ Inlet flue gas temperature <![CDATA[t g14 ]]> 361.2 ℃ Exhaust temperature <![CDATA[t g15 ]]> 132.3 ℃ Exhaust temperature (air flow correction) <![CDATA[t g15cr ]]> 123.0 ℃

[0115] Step 101, obtaining the dynamic pressure p at the measurement section d The air density at the measuring section is 39.4 Pa and ρ is 1.169 kg / m 3 , dynamic pressure (change) p at the measurement section d ' is 43.1Pa, and the air density (change) ρ' at the measuring section is 1.158kg / m 3 .

[0116] Step 102, the mass flow rate ratio is calculated to be: It is 1.041.

[0117] Step 103, obtain the air leakage rate AL of 6.21% and the average specific heat of air c PA is 1.111 J / (kg·k), the average specific heat of flue gas c PG It is 1.159J / (kg·k).

[0118] Step 104, by The coefficient ε is 0.0596.

[0119] Step 105, obtaining the inlet flue gas temperature t G14 is 361.2℃, inlet air temperature t A8 is 310.4℃, exhaust gas temperature t G15 It is 132.3℃.

[0120] Step 106, by The exhaust temperature (air flow correction) t G15CR It is 123.0℃.

[0121] The exhaust temperature design value of the boiler is 124℃, the uncorrected exhaust temperature is 132.3℃, and the corrected exhaust temperature is 123.0℃. When the air flow correction is not performed, the exhaust temperature is 8.3℃ higher than the design value; after the air flow correction, the exhaust temperature is 1℃ lower than the design value. According to the actual parameter calculation of the current power plant, a 10℃ change in the boiler exhaust temperature affects the boiler efficiency by about 0.5 percentage points. If no correction is made, it will be considered that the exhaust temperature is high at this time, which will affect the boiler efficiency by about 0.4 percentage points. However, if the deviation of the air volume is eliminated, the exhaust temperature of the boiler is at a good level. At the same time, in order to reduce the exhaust temperature during operation, the energy-saving direction should be to reduce the air flow, explore the reasons for the high air flow, and seek to reduce the air flow.

[0122] The above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should be included in the scope of the claims of the present invention.

Claims

1. A smoke exhaust temperature detection system based on air flow correction, characterized in that: include: A flow calculation module (100), a gas parameter module (200), a temperature parameter module (300) and a controller (400); The flow calculation module (100) is used to obtain the ratio of mass flow; The gas parameter module (200) is used to obtain an air flow correction coefficient; The temperature parameter module (300) is used to obtain a first exhaust smoke temperature; The controller (400) is used to obtain the second exhaust gas temperature through the mass flow ratio, the air flow correction coefficient and the first exhaust gas temperature, and perform abnormal temperature correction.

2. The exhaust gas temperature abnormality detection system based on air flow correction according to claim 1, characterized in that: The flow calculation module (100) comprises a first parameter acquisition module and a second parameter acquisition module.

3. The exhaust gas temperature abnormality detection system based on air flow correction according to claim 2, characterized in that: The first parameter acquisition module is suitable for obtaining the first mass flow ratio when the unit is equipped with an air mass flow measurement module; The second parameter acquisition module is suitable for acquiring the second mass flow ratio when the unit does not have an air mass flow measurement module.

4. The exhaust gas temperature abnormality detection system based on air flow correction according to claim 3, characterized in that: The obtaining of the air flow correction coefficient includes determining the air flow correction coefficient based on the air leakage rate, the average specific heat of air and the average specific heat of flue gas.

5. The exhaust gas temperature abnormality detection system based on air flow correction according to claim 4, characterized in that: The air flow correction coefficient is expressed as, Among them, AL represents the air leakage rate, C PA represents the average specific heat of air, C PG Indicates the average specific heat of flue gas.

6. The exhaust gas temperature abnormality detection system based on air flow correction according to claim 5, characterized in that: The first exhaust gas temperature includes obtaining an inlet flue gas temperature, an inlet air temperature and an exhaust gas temperature through sensors.

7. The exhaust gas temperature abnormality detection system based on air flow correction according to claim 6, characterized in that: The second exhaust gas temperature includes if the unit is equipped with an air mass flow measurement module, expressed as, Among them, t G15CR Indicates the second exhaust gas temperature, m A ′ represents the change of air mass flow rate, m A represents the air mass flow rate, t G15 represents the exhaust gas temperature, t A8 represents the inlet air temperature, t G14 Indicates the inlet flue gas temperature; If the unit does not have an air mass flow measurement module, it is expressed as, Among them, p d ' represents the change of dynamic pressure at the measuring section, ρ' represents the change of air density at the measuring section, p d represents the dynamic pressure at the measuring section, and ρ represents the air density at the measuring section.

8. A method using the exhaust gas temperature abnormality detection system based on air flow correction as claimed in any one of claims 1 to 7, characterized in that: include: Obtain boiler operation data; Get the mass flow rate ratio; Get the air flow correction factor; Get the first exhaust gas temperature; Obtain the second exhaust gas temperature and perform abnormal temperature correction.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method for detecting abnormal exhaust gas temperature based on air flow correction described in claim 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for detecting abnormal exhaust gas temperature based on air flow correction described in claim 7 are implemented.

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