Flue gas online continuous monitoring system applied to high temperature of boiler

Abstract

The invention provides an online continuous flue gas monitoring system applied to high temperature of a boiler, and relates to the technical field of boiler flue gas monitoring. And the data processing module adopts a self-adaptive filtering algorithm to carry out de-noising processing, correction processing and optimization processing on the flue gas data to generate a processing report, so that the accuracy of flue gas component analysis is ensured. According to the on-line continuous flue gas monitoring system applied to the high temperature of the boiler, real-time on-line continuous monitoring of the high-temperature flue gas of the boiler is realized through combined work of the flue gas acquisition module, the data processing module and the intelligent metering algorithm analysis module, and accurate analysis and report generation of flue gas components are ensured. And meanwhile, the adaptive filtering algorithm is adopted to carry out de-noising processing and optimization on the data, so that the accuracy and reliability of flue gas monitoring are improved.

Description

Technical Field

[0001] This invention relates to the field of boiler flue gas monitoring technology, specifically to an online continuous monitoring system for high-temperature flue gas in boilers. Background Technology

[0002] Boilers are widely used in industries such as power, metallurgy, chemical, and building materials. Fuel combustion produces high-temperature flue gas containing pollutants such as sulfur dioxide, nitrogen oxides, carbon monoxide, particulate matter, and volatile organic compounds, which have adverse effects on the environment and human health. With increasingly stringent environmental regulations, real-time monitoring of boiler flue gas has become essential. Existing online monitoring systems mostly employ technologies such as spectral absorption, infrared detection, electrochemical sensing, and laser scattering, typically including flue gas acquisition, gas analysis, data processing, and data transmission units. The acquisition unit introduces flue gas using high-temperature resistant sampling probes and pipelines; the analysis unit measures concentration based on the absorption, chemical reaction, or scattering characteristics of gas molecules; and the data processing unit filters, corrects, and converts the signals, uploading the results to a monitoring platform. Some newer systems utilize metal-ceramic composites or nanomaterials in their sensor materials, improving stability under high temperature, high humidity, and corrosive environments. Data processing incorporates intelligent algorithms to achieve multi-sensor data fusion and measurement correction, generating reports according to standardized requirements. Some systems can interface with certification and accreditation platforms, supporting international standards such as ISO and CE.

[0003] Existing systems lack stability during long-term operation in high-temperature environments, especially since the core materials of sensors are prone to performance degradation under high temperatures and corrosive components, affecting measurement accuracy. Even with the use of new high-temperature resistant materials, stability remains limited under high-temperature and high-humidity conditions, leading to decreased reliability of measurement results. Furthermore, when interfacing data with international environmental standards, the automation levels of standardization conversion, unit conversion, and certification are low, and parameter matching between different standard systems can easily cause compatibility and accuracy issues, limiting its application in cross-border certification scenarios. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides an online continuous monitoring system for flue gas in high-temperature boilers. The technical problem this invention aims to solve is how to address the issues of reduced sensor accuracy and difficulties in data processing under high-temperature environments by employing high-temperature adaptable materials, data processing algorithms, and multi-sensor fusion technology.

[0005] To achieve the above objectives, the present invention provides the following technical solution: an online continuous monitoring system for high-temperature flue gas in boilers, comprising: The flue gas acquisition module is used to collect flue gas data in boiler flue gas in real time. The flue gas acquisition module includes a flue gas duct, a sampling probe and a temperature sensor. The data processing module is used to receive and process the flue gas data. The data processing module uses an adaptive filtering algorithm to perform noise reduction, correction and optimization processing on the flue gas data to generate a processing report, ensuring the accuracy of flue gas component analysis. The intelligent metering algorithm analysis module uses spectral analysis technology, infrared absorption technology, and a gas sensor array to analyze the processed report and generate a flue gas monitoring report. A high-temperature adaptability protection module, comprising high-temperature insulation material and a cooling device, wherein the high-temperature insulation material is used to cover the flue gas collection module and the data processing module; The certification and accreditation module compares the flue gas monitoring report with international certification agreements and environmental protection standards to generate a comparison report, and then generates a compliance report based on the comparison report.

[0006] Preferably, the flue gas duct is made of composite ceramic material, the temperature sensor is used to monitor the flue gas temperature of the boiler, and the flue gas acquisition module transmits the flue gas data to the data processing module through a signal transmission device.

[0007] Preferably, the adaptive filtering algorithm includes a variable step size LMS algorithm, wherein the variable step size LMS algorithm dynamically adjusts the filtering parameters of the variable step size LMS algorithm by monitoring the flue gas data, and the adjustment period of the filtering parameters is no more than 100ms.

[0008] Preferably, the denoising process employs a multi-scale analysis method, and the calculation formula for the multi-scale analysis method is as follows: .

[0009] in, The signal after wavelet transform, in units , The scaling factor has a range of [value missing]. Dimensionless For the mother wavelet function, unit x represents the spatial coordinates of the flue gas sampling point, in meters. This is the translation factor, in meters. is a scale parameter, dimensionless.

[0010] Preferably, the spectral analysis technique calculates the concentration value of the boiler flue gas using ultraviolet differential absorption spectroscopy, and the model formula for the spectral analysis technique is as follows: .

[0011] in, The value represents the concentration of pollutants in the boiler flue gas, in units of... For the boiler flue gas at wavelength The absorption cross-sectional area at the location, in units of , Optical path length, in units of The intensity of the incident light is expressed in W. Transmitted light intensity, unit: .

[0012] Preferably, the gas sensor array employs a multi-component cross-interference correction algorithm, the calculation formula of which is: .

[0013] in, The value represents the concentration of pollutants in the boiler flue gas, expressed in ppm. This refers to the sensor calibration coefficient, in units of... The original absorbance value is dimensionless. This is the baseline offset, dimensionless. The absolute pressure of the boiler flue gas is given in units of... , The temperature of the boiler flue gas is expressed in Kelvin (K). The activation energy of gas molecules is expressed in units of 1000 kJ / m³. , Boltzmann constant, in units of .

[0014] Preferably, the cooling device employs a two-stage cooling system, with the first stage being vortex tube cooling and the second stage being semiconductor refrigeration, and a temperature buffer layer provided between the two-stage cooling systems.

[0015] Preferably, the comparison process specifically includes the following steps: S1. Extract limit data according to the international certification agreement and environmental standards, wherein the standards for the limit data include EPA standards, ISO standards and GB13223 standards; S2. Compare the flue gas monitoring report with the limit data to generate a comparison report; S3. Embed the limit source, standard version number, and detection timestamp in the comparison report to generate the compliance report.

[0016] This invention provides an online continuous monitoring system for high-temperature flue gas in boilers. It offers the following advantages:

[0017] This online continuous monitoring system for high-temperature flue gas in boilers achieves real-time online continuous monitoring of high-temperature flue gas through the combined operation of a flue gas acquisition module, a data processing module, and an intelligent metering algorithm analysis module. This ensures accurate analysis of flue gas components and the generation of reports. Simultaneously, an adaptive filtering algorithm is used to denoise and optimize the data, improving the accuracy and reliability of flue gas monitoring.

[0018] The high-temperature adaptability protection module, cooling device, and certification and accreditation module of this invention effectively protect equipment and ensure stable system operation. The high-temperature insulation material and cooling device effectively resist the effects of high-temperature environments, while the certification and accreditation module ensures that monitoring results comply with regulations by comparing them with international certification agreements and environmental standards, providing compliance reports and enhancing the system's credibility and usability. Attached Figure Description

[0019] Figure 1 This is a schematic diagram of a system structure for implementing an invention; Figure 2 This is a flowchart of the data processing module for implementing the invention; Figure 3 This is a schematic diagram of the high-temperature adaptability protection module structure for realizing the invention; Figure 4 This is a flowchart of the certification and recognition module comparison process for an invention. Figure 5 This is a flowchart of the intelligent metering algorithm analysis module for implementing the invention. Detailed Implementation

[0020] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0021] Example 1 like Figure 1-5 As shown in the figure, this embodiment of the invention provides an online continuous monitoring system for high-temperature flue gas in boilers, including a flue gas acquisition module for real-time acquisition of flue gas data from boiler flue gas. The flue gas acquisition module includes a flue gas duct, a sampling probe, and a temperature sensor. The flue gas duct is made of composite ceramic material, and the temperature sensor is used to monitor the boiler flue gas temperature. The flue gas acquisition module transmits the flue gas data to a data processing module via a signal transmission device.

[0022] The data processing module receives and processes flue gas data. It employs an adaptive filtering algorithm to denoise, correct, and optimize the flue gas data, generating a processing report to ensure the accuracy of flue gas component analysis. The adaptive filtering algorithm includes a variable step-size LMS algorithm, which dynamically adjusts its filtering parameters by monitoring the flue gas data. The adjustment period for these parameters is no greater than 100ms. Denoising is performed using a multi-scale analysis method, the calculation formula of which is:

[0023] .

[0024] in, The signal after wavelet transform, in units , The scaling factor has a range of [value missing]. Dimensionless For the mother wavelet function, unit x represents the spatial coordinates of the flue gas sampling point, in meters. This is the translation factor, in meters. is a scale parameter, dimensionless.

[0025] The intelligent metering algorithm analysis module uses spectral analysis, infrared absorption technology, and a gas sensor array to analyze the processed reports and generate flue gas monitoring reports. Spectral analysis technology calculates the concentration of boiler flue gas using ultraviolet differential absorption spectroscopy. The model formula for spectral analysis is as follows:

[0026] .

[0027] in, This represents the concentration of pollutants in boiler flue gas, in units of... For boiler flue gas at wavelength The absorption cross-sectional area at the location, in units of , Optical path length, in units of The intensity of the incident light is expressed in W. Transmitted light intensity, unit: The gas sensor array employs a multi-component cross-interference correction algorithm. The calculation formula for the multi-component cross-interference correction algorithm is as follows:

[0028] .

[0029] in, This represents the concentration of pollutants in boiler flue gas, expressed in ppm. This refers to the sensor calibration coefficient, in units of... The original absorbance value is dimensionless. This is the baseline offset, dimensionless. The absolute pressure of the boiler flue gas, in units of... , The temperature of the boiler flue gas is expressed in Kelvin (K). The activation energy of gas molecules is expressed in units of 1000 kJ / m³. , Boltzmann constant, in units of .

[0030] The high-temperature adaptability protection module includes high-temperature insulation material and a cooling device. The high-temperature insulation material is used to cover the flue gas acquisition module and the data processing module. The cooling device adopts a two-stage cooling system: the first stage is eddy current tube cooling, and the second stage is semiconductor refrigeration. A temperature buffer layer is provided between the two cooling stages.

[0031] The certification and accreditation module compares flue gas monitoring reports against international certification agreements and environmental standards to generate a comparison report. Based on this comparison report, the module then generates a compliance report. The comparison process includes the following steps:

[0032] S1. Extract limit data according to international certification agreements and environmental standards. The standards for limit data include EPA standards, ISO standards and GB13223 standards.

[0033] S2. Compare the flue gas monitoring report with the limit data to generate a comparison report.

[0034] S3. Embed the source of the limit, the standard version number, and the testing timestamp in the comparison report to generate a compliance report.

[0035] The flue gas acquisition module can efficiently and accurately collect flue gas data, which serves as the basis for subsequent data analysis and ensures that the monitoring system has a good response capability to dynamic changes in boiler flue gas.

[0036] The data processing module improves the accuracy of flue gas composition analysis, eliminates noise interference, and ensures the reliability and validity of monitoring results through precise filtering, thereby enhancing system performance and the quality of monitoring reports.

[0037] The intelligent metering algorithm analysis module generates high-precision flue gas concentration monitoring reports, which can reflect the boiler's operating status in a timely manner, providing strong support for environmental protection departments to conduct effective pollutant monitoring and meeting environmental protection requirements.

[0038] After the certification and accreditation module generates a compliance report, it can ensure that boiler emissions comply with environmental regulations and international standards, avoid legal issues and environmental impacts caused by non-compliant emissions, and enhance the authority and reliability of the monitoring system.

[0039] The design and function of the above modules together ensure that the entire system can perform efficient, accurate and stable flue gas monitoring, meet various working requirements of boilers in high-temperature environments, and also provide data support for environmental protection and legal compliance.

[0040] Example 2 This embodiment is based on an online continuous flue gas monitoring system applied to high-temperature boilers, ensuring real-time acquisition and accurate analysis of boiler flue gas data to facilitate environmental protection and boiler operation optimization. The specific implementation method is as follows:

[0041] 1. Equipment selection and parameters Flue gas duct: Material selection: Composite ceramic materials are used, which have high temperature resistance and corrosion resistance, and can withstand temperatures up to 1200℃, ensuring a service life of no less than 10 years in the high temperature and corrosive environment of the boiler.

[0042] Pipe dimensions: inner diameter 50mm, length 2m, which ensures stable flow of boiler flue gas in the pipe and avoids affecting sampling accuracy due to excessive pressure loss.

[0043] Installation method: The flue gas duct is connected to the boiler flue gas outlet by welding or threading to ensure the sealing of the connection and prevent gas leakage.

[0044] Sampling probe: Sensor type: It adopts a K-type thermocouple sensor, with an operating temperature range of up to 1600℃, and has good anti-interference ability and high precision performance.

[0045] Sensitivity: The thermocouple sensor has a sensitivity of 0.5℃, which ensures the accuracy of the collected data.

[0046] Installation location: The sampling probe is installed in the center of the flue gas duct, about 1 meter away from the boiler flue gas outlet, to ensure that the collected flue gas data is representative and accurate.

[0047] Temperature sensor: Model: Employs a Pt100 platinum resistance sensor with an accuracy of ±0.1℃ and a measurement range of -200℃ to +850℃, enabling precise monitoring of boiler flue gas temperature.

[0048] Installation method: Installed inside the flue gas duct, close to the sampling probe, to monitor the boiler flue gas temperature in real time and provide necessary data support.

[0049] Signal transmission device: Communication method: It adopts RS-485 communication interface, supports long-distance data transmission, has strong anti-interference ability, and can ensure stable data transmission in high-temperature environments.

[0050] Transmission rate: set to 9600bps to ensure efficient data transmission.

[0051] 3. Data Acquisition and Transmission Data collection frequency: Sampling frequency: The system samples 10 times per second, and the collected data includes flue gas temperature and flue gas component concentration values.

[0052] Data format: Each data collection includes a timestamp, temperature value, gas concentration value, and sampling point location information.

[0053] Data transmission: Transmission protocol: Data is transmitted to the data processing module via RS-485 communication interface, and the Modbus protocol is used for data exchange to ensure data accuracy.

[0054] Data verification: Data undergoes CRC verification during transmission to avoid errors in data transmission.

[0055] 4. Temperature control and protection High-temperature insulation materials: Material Selection: High-temperature ceramic fiber insulation material with low thermal conductivity is used to effectively insulate against external heat. This material is used to encase the flue gas collection module, ensuring the equipment is not damaged at high temperatures.

[0056] Thermal insulation effect: Keeps the external temperature of the module below 90℃, and can effectively protect the equipment from high temperature effects even when the internal temperature of the boiler reaches 1200℃.

[0057] Cooling device: To prevent overheating, the flue gas collection module is equipped with a two-stage cooling system: The first-stage cooling system adopts the vortex tube cooling principle, which uses the kinetic energy of the flue gas flow inside the boiler to initially cool down the module to about 100℃.

[0058] Second-stage cooling system: Using semiconductor refrigeration technology, the module temperature is further reduced to 40°C to 50°C, thereby ensuring the normal operation of the electronic components inside the module.

[0059] Cooling efficiency: The overall cooling efficiency of the system should reach over 90% to ensure stable operation of the modules.

[0060] 5. Installation and Debugging Equipment installation: Flue gas duct installation: The flue gas duct is fixed at the flue gas outlet of the boiler, using welding or threaded connections to ensure the airtightness of the connection between the duct and the flue gas outlet of the boiler and to prevent air leakage.

[0061] Sensor Installation: When installing the sampling probe, ensure it is centered in the duct to guarantee uniform flue gas sampling. The temperature sensor should be tightly connected to the probe to monitor flue gas temperature changes in real time.

[0062] Power cabling: High-temperature resistant cables are used to ensure a stable power supply.

[0063] System debugging: Initial debugging: After starting the system, check whether the flue gas duct and sensors are working properly, and perform a system self-test by comparing with standard gas.

[0064] Data validation: Verify the accuracy of the sensor using standard gas concentration values ​​to ensure that its error does not exceed ±5%.

[0065] Continuous monitoring: After the system is turned on, it continuously collects data to ensure stable operation of the equipment and stores the data.

[0066] 6. Maintenance and Updates Regular maintenance: Inspection frequency: A comprehensive inspection of the equipment is conducted monthly, including pipe cleaning and sensor calibration.

[0067] Sensor cleaning: Clean the sampling probe every three months to avoid dust accumulation affecting sampling accuracy.

[0068] Technology Update: Software updates: The system's software should be updated regularly, ideally annually, to support new environmental standards and algorithm improvements.

[0069] Hardware updates: Sensors are replaced and optimized regularly based on changes in the boiler environment, equipment operating conditions, and technological advancements to ensure long-term stable system operation.

[0070] 7. Implementation Plan The implementation plan is based on a specific timeframe and division of responsibilities to ensure the smooth completion of the project. The goals and responsibilities for each step in the implementation process are clearly defined, and the timelines are clearly defined.

[0071] Table 1: Implementation Plan.

[0072] Through the above steps, temperature and chemical composition data of boiler flue gas can be effectively collected. The system employs high-temperature adaptable materials and advanced sensor technology to ensure stable operation in extreme environments. The data acquisition module and signal transmission device, through precise transmission and processing algorithms, improve the accuracy and reliability of flue gas monitoring. Furthermore, combined with adaptive filtering algorithms and intelligent metering analysis, the system can automatically generate flue gas monitoring reports that meet the requirements of international certification agreements and environmental standards, ensuring that boiler emissions comply with relevant environmental requirements, thereby achieving efficient and environmentally friendly boiler operation.

[0073] Example 3 This embodiment is based on an online continuous monitoring system for high-temperature flue gas in boilers. Wavelet transform technology is used to denoise, correct, and optimize boiler flue gas data. The changing trends of pollutant concentrations in the boiler flue gas are analyzed, providing a reliable basis for future flue gas quality monitoring and prediction. The specific implementation method is as follows:

[0074] 1. Data Collection Assume the data collected from the boiler flue gas monitoring system is pollutant concentration, in ppm. The original data range is [50, 500], and the specific data is as follows:

[0075] x=[50, 140, 230, 320, 410, 500].

[0076] 2. Data normalization To ensure that different data features are processed on the same scale, the data needs to be normalized to the range [0, 1].

[0077] Normalization formula: in, It is the raw data. and These are the minimum and maximum values ​​of the data column, respectively. , .

[0078] Normalized data: x = [0, 0.2, 0.4, 0.6, 0.8, 1].

[0079] 3. Parameter Selection The denoising process employs a multi-scale analysis method, and the calculation formula for the multi-scale analysis method is as follows: .

[0080] in, The signal after wavelet transform, in units , The scaling factor has a range of [value missing]. Dimensionless For the mother wavelet function, unit x represents the spatial coordinates of the flue gas sampling point, in meters. This is the translation factor, in meters. is a scale parameter, dimensionless.

[0081] Scaling coefficient Set to [0.5, 0.3, 0.2].

[0082] Translation coefficient Set to [0.2, 0.4, 0.6].

[0083] Scale parameters Set to [1, 2, 3].

[0084] 4. Wavelet Transform Calculation Select a normalized data point And calculate the wavelet transform result.

[0085] Calculate the value of each wavelet function: Assumption It is a linear function ,but: for : for : for : Calculate the final result: Substitute the data into the calculation: Therefore, normalized data The corresponding final wavelet transform result is .

[0086] 5. Results Analysis and Application Anomaly detection: Set a threshold. An alarm is triggered in time to monitor abnormal fluctuations in the concentration of pollutants in the boiler flue gas. If A value outside the predetermined range may indicate an abnormality in the boiler combustion process, requiring adjustment.

[0087] Trend analysis: Calculating different data points Values ​​and plotting trend changes. If A lower value indicates a smaller change in pollutant concentration, suggesting stable boiler operation; if If the value is high, further investigation is needed to determine the reasons for the change in flue gas pollutant concentration.

[0088] Visualization: Normalized data and wavelet transform results Compare the data and visualize the changes using charts. This helps to observe trends in the data.

[0089] x-axis: Normalized data points.

[0090] Vertical axis: The corresponding wavelet transform result .

[0091] 6. Further optimizations Parameter optimization: Optimization algorithms such as particle swarm optimization and genetic algorithms are used to... , and The parameters are optimized to improve the effect of wavelet transform and further enhance the accuracy of data processing.

[0092] More complex wavelet functions: The currently used linear wavelet functions may not be able to fully capture the features in complex signals, so it is possible to try using more accurate mother wavelets to improve the accuracy of wavelet transform.

[0093] Machine learning model training and prediction: Use the processed data, such as Using these features as input, a predictive model is built by combining them with machine learning algorithms to predict future pollutant concentrations in boiler flue gas.

[0094] This embodiment uses wavelet transform to process boiler flue gas data, successfully achieving denoising, correction, and optimization of flue gas pollutant concentrations. By normalizing the data and selecting appropriate wavelet transform parameters, the trend of pollutant concentration changes in the flue gas can be effectively extracted, providing reliable technical support for anomaly detection, boiler operation optimization, and future flue gas quality prediction. This method has high accuracy and real-time performance, improving the performance of boiler flue gas monitoring systems.

[0095] The above steps effectively compare flue gas monitoring data with environmental standards, ensuring that boiler flue gas emissions comply with all regulatory requirements. Data extraction, comparison of real-time monitoring data with standard limits, generation of comparison reports, and embedding of key information ultimately produce a compliance report, providing a scientific basis for boiler emission improvement measures.

[0096] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. An online continuous monitoring system for high-temperature flue gas in boilers, characterized in that, include: The flue gas acquisition module is used to collect flue gas data in boiler flue gas in real time. The flue gas acquisition module includes a flue gas duct, a sampling probe and a temperature sensor. The data processing module is used to receive and process the flue gas data. The data processing module uses an adaptive filtering algorithm to perform noise reduction, correction and optimization processing on the flue gas data and generate a processing report. The intelligent metering algorithm analysis module uses spectral analysis technology, infrared absorption technology, and a gas sensor array to analyze the processed report and generate a flue gas monitoring report. A high-temperature adaptability protection module, comprising high-temperature insulation material and a cooling device, wherein the high-temperature insulation material is used to cover the flue gas collection module and the data processing module; The certification and accreditation module compares the flue gas monitoring report with international certification agreements and environmental protection standards to generate a comparison report, and then generates a compliance report based on the comparison report.

2. The online continuous monitoring system for high-temperature flue gas in boilers according to claim 1, characterized in that: The flue gas duct is made of composite ceramic material, the temperature sensor is used to monitor the flue gas temperature of the boiler, and the flue gas acquisition module transmits the flue gas data to the data processing module through a signal transmission device.

3. The online continuous monitoring system for high-temperature flue gas in boilers according to claim 1, characterized in that: The adaptive filtering algorithm includes a variable step size LMS algorithm, which dynamically adjusts the filtering parameters of the variable step size LMS algorithm by monitoring the flue gas data, and the adjustment period of the filtering parameters is no more than 100ms.

4. The online continuous monitoring system for high-temperature flue gas in boilers according to claim 1, characterized in that: The denoising process employs a multi-scale analysis method, and the calculation formula for the multi-scale analysis method is as follows: ， in, The signal after wavelet transform. The scaling factor has a range of [value missing]. Dimensionless Let x be the mother wavelet function, and x be the spatial coordinates of the flue gas sampling point. The translation coefficient is... is a scale parameter, dimensionless.

5. The online continuous monitoring system for high-temperature flue gas in boilers according to claim 1, characterized in that: The spectral analysis technique calculates the concentration value of the boiler flue gas using ultraviolet differential absorption spectroscopy. The model formula for the spectral analysis technique is as follows: ， in, The concentration value of pollutants in the boiler flue gas For the boiler flue gas at wavelength The absorption cross-sectional area at that point Optical path length Incident light intensity The intensity of transmitted light.

6. The online continuous monitoring system for high-temperature flue gas in boilers according to claim 1, characterized in that: The gas sensor array employs a multi-component cross-interference correction algorithm, the calculation formula of which is as follows: ， in, The concentration value of pollutants in the boiler flue gas. For sensor calibration coefficients, This is the original absorbance value. This is the baseline offset. The absolute pressure of the boiler flue gas is [value missing]. The temperature of the boiler flue gas is denoted as . The activation energy of gas molecules, is the Boltzmann constant.

7. The online continuous monitoring system for high-temperature flue gas in boilers according to claim 1, characterized in that: The cooling device employs a two-stage cooling system: the first stage is vortex tube cooling, and the second stage is semiconductor refrigeration. A temperature buffer layer is provided between the two cooling stages.

8. The online continuous monitoring system for high-temperature flue gas in boilers according to claim 1, characterized in that: The comparison process specifically includes the following steps: S1. Extract limit data according to the international certification agreement and environmental standards, wherein the standards for the limit data include EPA standards, ISO standards and GB13223 standards; S2. Compare the flue gas monitoring report with the limit data to generate a comparison report; S3. Embed the limit source, standard version number, and detection timestamp in the comparison report to generate the compliance report.

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