Exhaust gas detection method, system and equipment based on multispectral fusion and dynamic compensation

Abstract

The invention discloses an exhaust gas detection method, system and equipment based on multispectral fusion and dynamic compensation, and relates to the technical field of organic exhaust gas detection. The system comprises a detection device, a hardware unit with data processing capability and a management terminal with data storage and historical data comparison functions, the detection device adopts a modular design, integrates a multispectral sensor and an environmental parameter sensor, and is provided with a multi-stage filtering module and an anti-corrosion detection cavity. According to the method, waste gas components and environmental parameters are collected through the detection device, data are dynamically compensated and corrected through a hardware unit self-adaptive algorithm, and remote calibration and firmware upgrading are supported through data processing, anomaly recognition, historical data comparison and the like. The system and the method realize multi-dimensional accurate detection of the organic waste gas, adapt to a complex environment, are convenient to maintain and expand, provide intelligent support for treatment of the organic waste gas, and can be widely applied to multiple industries such as chemical engineering and printing.

Description

Technical Field

[0001] This invention relates to the field of organic waste gas detection, and more specifically, to a waste gas detection method, system, and equipment based on multispectral fusion and dynamic compensation. Background Technology

[0002] In industrial production, the emission of organic waste gases causes air pollution and harms human health. Accurate online detection of these gases is crucial for environmental governance. Traditional organic waste gas detection methods often employ single sensors, enabling the detection of only a limited range of components. These sensors are also susceptible to interference from environmental factors such as temperature, humidity, and pressure, resulting in low accuracy. Furthermore, traditional detection devices are often integrated structures, making sensor replacement and maintenance difficult and hindering flexible adjustments to meet varying detection needs. In addition, traditional detection methods suffer from slow data processing, requiring manual data analysis and treatment plan development, leading to low efficiency. They also lack remote maintenance capabilities, and on-site calibration and firmware upgrades are costly and time-consuming. These methods fail to meet the real-time, efficient, and accurate organic waste gas detection and treatment requirements of industrial scenarios, necessitating an intelligent online detection technology that overcomes these shortcomings. Summary of the Invention

[0003] The purpose of this application is to provide a method for detecting exhaust gas based on multispectral fusion and dynamic compensation, comprising the following steps: The detection device integrates an infrared spectral sensor, an ultraviolet spectral sensor, and a micro gas chromatograph to perform multi-dimensional component detection of organic waste gas and obtain waste gas component detection data. At the same time, the temperature, humidity and pressure parameters of the detection environment are collected by the temperature and humidity sensor and pressure sensor integrated in the detection device. The exhaust gas composition detection data, the temperature and humidity parameters, and the pressure parameters are transmitted to a hardware unit with data processing capabilities. The hardware unit uses an adaptive algorithm to dynamically compensate and correct the exhaust gas composition detection data in combination with the temperature and humidity parameters and the pressure parameters. The hardware unit with data processing capabilities processes the detection data after dynamic compensation and correction in real time, and automatically identifies abnormal organic waste gas components and abnormal working status of each sensor in the detection device based on the processing results. The processing results and anomaly identification results of the hardware unit with data processing capabilities are transmitted to the management terminal with data storage and historical data comparison functions, and the manager generates a precise treatment plan for organic waste gas based on the received results. The management terminal, which has the functions of data storage and historical data comparison, sends calibration instructions to the testing device to realize remote calibration operation, and sends upgrade programs to the hardware unit with data processing capabilities to realize firmware upgrade operation.

[0004] Furthermore, in the step of automatically identifying anomalies in the hardware unit with data processing capabilities, the identification of anomalies in organic waste gas components includes the identification of the concentration of various organic compounds in the waste gas exceeding the preset range, and the identification of anomalies in the working status of each sensor in the detection device includes the identification of anomalies in the output data stability of the infrared spectroscopy sensor, ultraviolet spectroscopy sensor, micro gas chromatograph, temperature and humidity sensor, and pressure sensor.

[0005] Furthermore, when the adaptive algorithm performs dynamic compensation and correction on the exhaust gas component detection data, it uses compensation logic adapted to the detection principles of each sensor to correct the detection data acquired by the infrared spectroscopy sensor, the ultraviolet spectroscopy sensor, and the micro gas chromatograph.

[0006] Secondly, the present invention also provides a waste gas detection system based on multispectral fusion and dynamic compensation, including a detection device for performing the detection method, a hardware unit with data processing capabilities, and a management terminal with data storage and historical data comparison functions. The detection device integrates an infrared spectral sensor, an ultraviolet spectral sensor, a miniature gas chromatograph, a temperature and humidity sensor, and a pressure sensor. The infrared spectral sensor, ultraviolet spectral sensor, and miniature gas chromatograph are used to collaboratively acquire multi-dimensional component detection data of organic waste gas. The temperature and humidity sensor and pressure sensor are used to acquire temperature, humidity, and pressure parameters of the detection environment. The hardware unit with data processing capabilities and... The detection device is connected via a communication link to receive various types of data transmitted by the detection device and execute adaptive algorithms for dynamic compensation and correction, while simultaneously achieving real-time data processing and automatic anomaly identification. The hardware unit with data processing capabilities also establishes a communication connection with a management terminal that has data storage and historical data comparison functions, for transmitting the processed data and anomaly identification results to the management terminal. The management terminal with data storage and historical data comparison functions is used to collect data, allowing managers to generate governance plans based on the received data, and supports sending calibration commands to the detection device for remote calibration, as well as sending upgrade programs to the hardware unit with data processing capabilities for firmware upgrades.

[0007] Furthermore, the hardware unit with data processing capabilities is equipped with a data cache unit. The data cache unit is used to temporarily store the original exhaust gas composition detection data, temperature and humidity parameters, pressure parameters, and detection data after dynamic compensation and correction by the adaptive algorithm transmitted by the detection device. The data cache unit is also used to store the anomaly identification results and real-time processing results of the hardware unit with data processing capabilities.

[0008] Furthermore, the management terminal with data storage and historical data comparison functions also has historical data management functions, which can store the processing results, anomaly identification results and historical data transmitted by hardware units with data processing capabilities, and support query and statistical analysis operations on historical stored data.

[0009] Furthermore, the communication links between the hardware unit with data processing capabilities and the detection device, and between the hardware unit with data processing capabilities and the management terminal with data storage and historical data comparison functions, adopt an encrypted transmission method to ensure the security of detection data, processing results, and control commands during transmission.

[0010] Thirdly, the present invention also provides a modular device for online detection of organic waste gas. This device is a detection unit in the detection system, including a chamber, an air inlet, a detection cavity, a calibration interface, casters, and a communication interface. The chamber is equipped with a pluggable sensor housing for installing infrared spectroscopy sensors, ultraviolet spectroscopy sensors, a miniature gas chromatograph, a temperature and humidity sensor, and a pressure sensor, and enabling rapid replacement and maintenance of the aforementioned sensors. A multi-stage filtration module is installed at the air inlet, including a particulate filter for filtering particulate matter in the waste gas and a water vapor separator for separating water vapor from the waste gas. The inner wall of the detection cavity is coated with an anti-corrosion coating, and a guide plate is provided inside the detection cavity to guide the flow direction of the waste gas and optimize the flow path. The calibration interface is located on the top of the chamber and adopts a foldable structure design. The casters are installed at the bottom of the chamber to enable flexible movement of the device. The communication interface is reserved on the side wall of the chamber for data transmission between the detection device and a hardware unit with data processing capabilities.

[0011] Furthermore, the particulate filter and water vapor separator in the multi-stage filtration module are both assembled at the air inlet using a snap-on detachable connection method, and the external dimensions of the particulate filter and water vapor separator are adapted to the diameter of the air inlet. The filtration levels of the particulate filter and the separation structure of the water vapor separator are adapted to the removal requirements of particulate matter and water vapor in organic waste gas.

[0012] Furthermore, the guide plates inside the detection chamber are spirally spaced along the axial direction of the detection chamber, and the extension length of the guide plates matches the curvature of the inner wall of the detection chamber. The number of guide plates is set according to the internal volume of the detection chamber and the preset residence time of the exhaust gas in the detection chamber.

[0013] Furthermore, the reserved communication interface includes a wired communication interface and a wireless communication interface. The wired communication interface includes an Ethernet interface and a bus communication interface. The wireless communication interface supports long-distance wireless data transmission, and the bus communication interface can simultaneously establish connections with multiple external devices to achieve multi-device data interaction.

[0014] Furthermore, an elastic seal is provided between the inner wall of the pluggable sensor housing and the sensor mounting location. After the sensor is installed, the elastic seal can fill the gap between the pluggable sensor housing and the sensor, thereby achieving a sealed isolation between the inside of the pluggable sensor housing and the external environment of the detection device.

[0015] Beneficial effects The beneficial effects of this invention are as follows: First, by employing a multispectral fusion detection method, combining multiple spectral sensors with a miniature gas chromatograph, multi-dimensional component analysis of organic waste gas is achieved, significantly improving detection accuracy and effectively overcoming the limitations of single-sensor detection. Second, by introducing dynamic compensation correction technology, combining environmental parameter sensor data with adaptive algorithms, interference from environmental factors on detection results is eliminated, ensuring stable detection accuracy under complex environments. Third, the detection device adopts a modular plug-in design and a multi-stage filtration and corrosion-resistant structure, facilitating sensor replacement and maintenance, reducing impurity interference, extending equipment life, and reserving multiple communication interfaces for easy system expansion. Fourth, by processing data and identifying anomalies in real time through hardware units, the management terminal automatically generates historical data for comparison and supports remote calibration and firmware upgrades, eliminating the need for extensive manual intervention, improving detection and treatment efficiency, reducing maintenance costs, and providing strong support for precise treatment and long-term stable monitoring of industrial organic waste gas. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the structures shown in these drawings without creative effort.

[0017] Figure 1 This is a flowchart illustrating the working steps of the exhaust gas detection method based on multispectral fusion and dynamic compensation provided in this embodiment. Figure 2 This is a schematic diagram of a waste gas detection system module based on multispectral fusion and dynamic compensation provided in an embodiment of the present invention. Detailed Implementation

[0018] 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 a part of the embodiments of the present invention, and not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0019] It should be noted that if the embodiments of the present invention involve directional indicators (such as up, down, left, right, front, back, etc.), the directional indicators are only used to explain the relative positional relationship and movement of the components in a specific posture. If the specific posture changes, the directional indicators will also change accordingly.

[0020] Furthermore, if the embodiments of this invention involve descriptions such as "first" or "second," these descriptions are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Thus, features defined with "first" or "second" may explicitly or implicitly include at least one of those features. Additionally, the use of "and / or" or "and / or" throughout the text implies three parallel solutions. For example, "A and / or B" includes solution A, solution B, or a solution where both A and B are satisfied. Furthermore, the technical solutions of the various embodiments can be combined, but this must be based on the ability of those skilled in the art to implement them. When the combination of technical solutions is contradictory or impossible to implement, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection claimed by this invention.

[0021] refer to Figure 1 This application provides a method for detecting exhaust gas based on multispectral fusion and dynamic compensation, comprising the following steps: S110. The detection device, which integrates an infrared spectral sensor, an ultraviolet spectral sensor and a micro gas chromatograph, performs multi-dimensional component detection on organic waste gas to obtain waste gas component detection data. At the same time, the temperature, humidity and pressure parameters of the detection environment are collected by the temperature and humidity sensor and pressure sensor integrated in the detection device. S120. The exhaust gas composition detection data, the temperature and humidity parameters and the pressure parameters are transmitted to a hardware unit with data processing capabilities. The hardware unit uses an adaptive algorithm to dynamically compensate and correct the exhaust gas composition detection data in combination with the temperature and humidity parameters and the pressure parameters. S130. The hardware unit with data processing capability performs real-time processing on the detection data after dynamic compensation and correction, and automatically identifies abnormal organic waste gas composition and abnormal working status of each sensor in the detection device based on the processing results. S140. The processing results and anomaly identification results of the hardware unit with data processing capabilities are transmitted to the management terminal with data storage and historical data comparison functions, and the manager generates a precise treatment plan for organic waste gas based on the received results. S150. The management terminal with data storage and historical data comparison functions sends a calibration command to the detection device to realize remote calibration operation, and sends an upgrade program to the hardware unit with data processing capabilities to realize firmware upgrade operation.

[0022] It should be noted that a detection device integrating an infrared spectroscopy sensor, an ultraviolet spectroscopy sensor, and a miniature gas chromatograph is used for multi-dimensional component detection of organic waste gas. The infrared spectroscopy sensor, based on the principle of molecular vibrational spectroscopy, detects the vibrational absorption characteristics of chemical bonds such as CH and OH in the waste gas, and is suitable for qualitative and quantitative analysis of organic compounds such as alkanes and alcohols. The ultraviolet spectroscopy sensor utilizes the ultraviolet light absorption characteristics in the 200-400nm wavelength range to detect organic compounds containing structures such as benzene rings and double bonds (e.g., aromatic hydrocarbons and alkenes). The miniature gas chromatograph, based on the principle of chromatographic separation, separates waste gas components through a chromatographic column, and the concentration of each component is quantitatively analyzed by a detector (such as FID or TCD). The three sensors work together to cover a wide range of organic compound detection, avoiding the limitations of a single sensor.

[0023] Simultaneously, temperature, humidity, and pressure parameters of the detection environment are collected in real time by temperature and humidity sensors (such as capacitive or resistive sensors) and pressure sensors (such as piezoresistive sensors) integrated into the detection device. Temperature affects the sensor's detection sensitivity and chemical reaction equilibrium, humidity may interfere with spectral absorption and chromatographic separation, and pressure directly affects gas concentration calculation. These parameters provide a basis for subsequent dynamic compensation.

[0024] The data acquisition frequency is set according to the detection requirements. For example, for continuous emission sources, data is collected once per second; for intermittent emissions, it can be adjusted to once every 5 seconds. The acquired data is converted into digital signals by the analog-to-digital converter built into the detection device and temporarily stored in the local cache.

[0025] Furthermore, in the step of automatically identifying anomalies in the hardware unit with data processing capabilities, the identification of anomalies in organic waste gas components includes the identification of the concentration of various organic compounds in the waste gas exceeding the preset range, and the identification of anomalies in the working status of each sensor in the detection device includes the identification of anomalies in the output data stability of the infrared spectroscopy sensor, ultraviolet spectroscopy sensor, micro gas chromatograph, temperature and humidity sensor, and pressure sensor.

[0026] Furthermore, when the adaptive algorithm performs dynamic compensation and correction on the exhaust gas component detection data, it uses compensation logic adapted to the detection principles of each sensor to correct the detection data acquired by the infrared spectroscopy sensor, the ultraviolet spectroscopy sensor, and the micro gas chromatograph.

[0027] It should be noted that the exhaust gas composition detection data, temperature and humidity parameters, and pressure parameters are transmitted to a hardware unit with data processing capabilities (such as an embedded industrial computer, DSP, or FPGA). This unit uses an adaptive algorithm to dynamically compensate and correct the exhaust gas composition detection data in conjunction with environmental parameters.

[0028] The adaptive algorithm designs compensation logic for each sensor's characteristics: For infrared spectroscopy sensors, based on Beer-Lambert's law, correction coefficients for temperature and humidity are introduced to compensate for light intensity attenuation errors caused by temperature drift and moisture absorption. The correction formula is: Ccorrected = Craw × [1 + α(T−T0) + β(H−H0)], where Craw is the original concentration, T and H are the real-time temperature and humidity, T0 and H0 are reference values, and α and β are the temperature and humidity compensation coefficients (determined through calibration experiments). For ultraviolet spectroscopy sensors, humidity and particulate scattering easily interfere with detection; a Mie scattering model is used for data compensation, and pressure parameters are combined to correct gas concentration calculations (since concentration is proportional to pressure). For miniature gas chromatographs, temperature affects column separation efficiency and detector response; a PID control algorithm dynamically adjusts column oven and detector temperatures, and pressure parameters are combined to compensate for retention time and peak area. The algorithm runs in real time, triggering compensation calculations upon receiving a new set of data to ensure that the corrected data is synchronized with environmental changes. The compensation parameters are stored in the non-volatile memory of the hardware unit and can be updated remotely.

[0029] The hardware unit processes the compensated data in real time, including data fusion (such as multi-sensor data fusion based on weighted average or Kalman filtering) and concentration calculation (such as converting spectral absorbance into concentration values). Based on the processing results, it automatically identifies two types of anomalies. First, it identifies anomalies in organic waste gas components, comparing the concentration of each organic compound with preset thresholds (such as a VOCs concentration limit of 100 mg / m³). Thresholds can be customized according to emission standards. An anomaly alarm is triggered when the concentration of a component exceeds the limit or undergoes a sudden change (such as a change exceeding 20% ​​within 1 second). Second, it identifies anomalies in sensor operation, monitoring the stability of the output data from each sensor. For example, an infrared spectroscopy sensor baseline drift exceeding 5% of full scale, or an ultraviolet light source intensity attenuation exceeding 10%, is considered an anomaly. A retention time deviation exceeding 0.1 minutes or a peak area RSD greater than 5% in a micro gas chromatograph is considered a column or detector malfunction. Temperature and humidity sensors and pressure sensors are judged based on whether their output values ​​are within the physically possible range (such as humidity 0-100%RH). Both anomaly identification results and real-time data are timestamped and output through the hardware unit's communication interface.

[0030] refer to Figure 2 This invention also provides a waste gas detection system based on multispectral fusion and dynamic compensation, including a detection device for executing the detection method, a hardware unit with data processing capabilities, and a management terminal with data storage and historical data comparison functions. The detection device integrates an infrared spectral sensor, an ultraviolet spectral sensor, a miniature gas chromatograph, a temperature and humidity sensor, and a pressure sensor. The infrared spectral sensor, ultraviolet spectral sensor, and miniature gas chromatograph are used to collaboratively acquire multi-dimensional component detection data of organic waste gas. The temperature and humidity sensor and pressure sensor are used to acquire temperature, humidity, and pressure parameters of the detection environment. The hardware unit with data processing capabilities and the detection... The device is connected via a communication link to receive various types of data transmitted by the detection device and execute adaptive algorithms for dynamic compensation and correction, while simultaneously achieving real-time data processing and automatic anomaly identification. The hardware unit with data processing capabilities also establishes a communication connection with a management terminal that has data storage and historical data comparison functions, for transmitting the processed data and anomaly identification results to the management terminal. The management terminal with data storage and historical data comparison functions is used to receive data, allowing the administrator to generate a governance plan based on the received data, and supports sending calibration commands to the detection device for remote calibration, as well as sending upgrade programs to the hardware unit with data processing capabilities for firmware upgrades.

[0031] Furthermore, the infrared spectroscopy sensor uses an NDIR (non-dispersive infrared) sensor with a detection band of 3-5 μm, covering the characteristic absorption peaks of most organic compounds. The light source is a miniature infrared LED, and the detector is a thermopile, with an accuracy of ±2% FS. The ultraviolet spectroscopy sensor employs ultraviolet differential absorption spectroscopy (DOAS) technology, with a deuterium lamp as the light source and an ultraviolet photodiode as the detector, a wavelength range of 200-400 nm, and a resolution of 0.5 nm. The miniature gas chromatograph uses an integrated miniature column (MXT-5, 5 m in length) and an FID detector, with high-purity nitrogen as the carrier gas, an analysis cycle of less than 2 minutes, and a detection limit down to the ppb level. The temperature and humidity sensors use digital integrated sensors (such as SHT35), with a temperature range of -40°C to 125°C and an accuracy of ±0.3°C; and a humidity range of 0-100% RH and an accuracy of ±2% RH. The pressure sensor is a piezoresistive sensor (such as MPX5100), with a range of 0-100 kPa and an accuracy of ±1.5% FS.

[0032] The sensor is fixed in a pluggable housing and connects to the motherboard via an aviation connector, supporting hot-swappable replacement. The device housing has an IP65 protection rating, and the internal motherboard contains signal conditioning circuitry and an MCU (such as an STM32F407) responsible for initial data processing and communication protocol encapsulation. The device's air inlet is equipped with a multi-stage filtration module: the particulate filter is a stainless steel sintered filter element (0.5μm pore size), and the water vapor separator is a vortex separator, effectively removing moisture and particulate matter to protect the sensor.

[0033] The hardware unit is the core processing node of the system, employing an embedded industrial computer (such as an Intel Celeron processor, 4GB RAM) running a Linux system. Its software modules include: The data receiving module 11 receives data packets from the detection device via an Ethernet or RS485 interface, parses them, and stores them in the data buffer unit.

[0034] The dynamic compensation module 12 executes an adaptive algorithm, calling the compensation coefficient table (stored in an SQLite database) to correct the data from each sensor in parallel. The algorithm is written in C++ and has a calculation cycle of less than 1 second.

[0035] The real-time processing module 13 performs data fusion. Weighted average fusion is used, with weights dynamically adjusted based on sensor accuracy and concentration calculation.

[0036] The anomaly identification module 14 judges anomalies in real time based on a rule base (such as concentration threshold and stability criteria), and stores the results in the cache unit after marking them.

[0037] The communication module 15 interacts with the management terminal via the MQTT protocol, and the data encryption uses the AES-256 algorithm.

[0038] Furthermore, the hardware unit with data processing capabilities is equipped with a data cache unit. The data cache unit is used to temporarily store the original exhaust gas composition detection data, temperature and humidity parameters, pressure parameters, and detection data after dynamic compensation and correction by the adaptive algorithm transmitted by the detection device. The data cache unit is also used to store the anomaly identification results and real-time processing results of the hardware unit with data processing capabilities.

[0039] Furthermore, the management terminal with data storage and historical data comparison functions also has a historical data management function, which can store the processing results, anomaly identification results and historical data transmitted by hardware units with data processing capabilities, and supports query and statistical analysis operations on historical stored data.

[0040] Furthermore, the communication links between the hardware unit with data processing capabilities and the detection device, and between the hardware unit with data processing capabilities and the management terminal with data storage and historical data comparison functions, adopt an encrypted transmission method to ensure the security of detection data, processing results, and control commands during transmission.

[0041] Example 3: This invention also provides a modular device for online detection of organic waste gas. This device is a detection unit in the detection system, including a chamber, an air inlet, a detection cavity, a calibration interface, casters, and a communication interface. The chamber is equipped with a pluggable sensor housing for installing infrared spectroscopy sensors, ultraviolet spectroscopy sensors, a miniature gas chromatograph, a temperature and humidity sensor, and a pressure sensor, enabling rapid replacement and maintenance of these sensors. A multi-stage filtration module is installed at the air inlet, including a particulate filter for filtering particulate matter in the waste gas and a water vapor separator for separating water vapor from the waste gas. The inner wall of the detection cavity is coated with an anti-corrosion coating, and a guide plate is provided inside the detection cavity to guide the flow direction of the waste gas and optimize the flow path. The calibration interface is located on the top of the chamber and adopts a foldable structure design. The casters are installed at the bottom of the chamber to enable flexible movement of the device. The communication interface is reserved on the side wall of the chamber for data transmission between the detection device and a hardware unit with data processing capabilities.

[0042] Furthermore, the particulate filter and water vapor separator in the multi-stage filtration module are both assembled at the air inlet using a snap-on detachable connection method, and the external dimensions of the particulate filter and water vapor separator are adapted to the diameter of the air inlet. The filtration levels of the particulate filter and the separation structure of the water vapor separator are adapted to the removal requirements of particulate matter and water vapor in organic waste gas.

[0043] Furthermore, the guide plates inside the detection chamber are spirally spaced along the axial direction of the detection chamber, and the extension length of the guide plates matches the curvature of the inner wall of the detection chamber. The number of guide plates is set according to the internal volume of the detection chamber and the preset residence time of the exhaust gas in the detection chamber.

[0044] Furthermore, the reserved communication interface includes a wired communication interface and a wireless communication interface. The wired communication interface includes an Ethernet interface and a bus communication interface. The wireless communication interface supports long-distance wireless data transmission, and the bus communication interface can simultaneously establish connections with multiple external devices to achieve multi-device data interaction.

[0045] Furthermore, an elastic seal is provided between the inner wall of the pluggable sensor housing and the sensor mounting location. After the sensor is installed, the elastic seal can fill the gap between the pluggable sensor housing and the sensor, thereby achieving a sealed isolation between the inside of the pluggable sensor housing and the external environment of the detection device.

[0046] The beneficial effects of this invention are as follows: First, it employs a multispectral fusion detection method, combining multiple spectral sensors with a miniature gas chromatograph to achieve multi-dimensional component analysis of organic waste gas, significantly improving detection accuracy and effectively overcoming the limitations of single-sensor detection. Second, it introduces dynamic compensation correction technology, combining environmental parameter sensor data with adaptive algorithms to eliminate interference from environmental factors on detection results, ensuring stable detection accuracy under complex environments. Third, the detection device adopts a modular plug-in design and a multi-stage filtration and corrosion-resistant structure, facilitating sensor replacement and maintenance, reducing impurity interference, extending equipment life, and reserving multiple communication interfaces for easy system expansion. Fourth, it processes data and identifies anomalies in real time through hardware units, and the management terminal collects data for managers to generate treatment plans. It also supports remote calibration and firmware upgrades, eliminating the need for extensive manual intervention, improving detection and treatment efficiency, and reducing maintenance costs. Fifth, the data transmission and storage links employ encryption mechanisms to ensure the security and integrity of detection data. Furthermore, the system is adaptable to different working conditions in various industries such as chemical, printing, and pharmaceutical, providing historical data traceability and support for enterprise environmental management, helping enterprises achieve refined environmental control, and providing strong support for precise treatment and long-term stable monitoring of industrial organic waste gas.

[0047] The above description is merely a preferred embodiment of the present invention and does not limit the patent scope of the present invention. Any equivalent structural transformations made using the contents of the present invention's specification and drawings under the inventive concept of the present invention, or direct / indirect applications in other related technical fields, are included within the patent protection scope of the present invention.

Claims

1. A method for detecting exhaust gas based on multispectral fusion and dynamic compensation, characterized in that, Includes the following steps: The detection device integrates an infrared spectral sensor, an ultraviolet spectral sensor, and a micro gas chromatograph to perform multi-dimensional component detection of organic waste gas and obtain waste gas component detection data. At the same time, the temperature, humidity and pressure parameters of the detection environment are collected by the temperature and humidity sensor and pressure sensor integrated in the detection device. The exhaust gas composition detection data, the temperature and humidity parameters, and the pressure parameters are transmitted to a hardware unit with data processing capabilities. The hardware unit uses an adaptive algorithm to dynamically compensate and correct the exhaust gas composition detection data in combination with the temperature and humidity parameters and the pressure parameters. The hardware unit with data processing capabilities processes the detection data after dynamic compensation and correction in real time, and automatically identifies abnormal organic waste gas components and abnormal working status of each sensor in the detection device based on the processing results. The processing results and anomaly identification results of the hardware unit with data processing capabilities are transmitted to the management terminal with data storage and historical data comparison functions. The management terminal compares the received results with the historical data of the exhaust gas in order to plan the exhaust gas treatment scheme in the future. The management terminal, which has the functions of data storage and historical data comparison, sends calibration instructions to the testing device to realize remote calibration operation, and sends upgrade programs to the hardware unit with data processing capabilities to realize firmware upgrade operation.

2. The waste gas detection method based on multispectral fusion and dynamic compensation according to claim 1, characterized in that, In the step of automatically identifying anomalies in the hardware unit with data processing capabilities, the identification of anomalies in organic waste gas components includes the identification of the concentration of various organic compounds in the waste gas exceeding the preset range, and the identification of anomalies in the working status of each sensor in the detection device includes the identification of anomalies in the stability of the output data of the infrared spectroscopy sensor, ultraviolet spectroscopy sensor, micro gas chromatograph, temperature and humidity sensor and pressure sensor.

3. The waste gas detection method based on multispectral fusion and dynamic compensation according to claim 1, characterized in that, When the adaptive algorithm dynamically compensates and corrects the exhaust gas component detection data, it uses compensation logic adapted to the detection principles of each sensor to correct the detection data acquired by the infrared spectroscopy sensor, the ultraviolet spectroscopy sensor, and the micro gas chromatograph.

4. A waste gas detection system based on multispectral fusion and dynamic compensation, characterized in that, It includes a detection device for performing the detection method of claim 1, a hardware unit with data processing capabilities, and a management terminal with data storage and historical data comparison functions; The detection device integrates an infrared spectral sensor, an ultraviolet spectral sensor, a miniature gas chromatograph, a temperature and humidity sensor, and a pressure sensor. The infrared spectral sensor, ultraviolet spectral sensor, and miniature gas chromatograph are used to collaboratively acquire multi-dimensional component detection data of organic waste gas, and the temperature and humidity sensor and pressure sensor are used to acquire the temperature, humidity, and pressure parameters of the detection environment. The hardware unit with data processing capabilities is connected to the detection device via a communication link. It is used to receive various types of data transmitted by the detection device and execute adaptive algorithms for dynamic compensation and correction, while realizing real-time data processing and automatic anomaly identification. The hardware unit with data processing capabilities also establishes a communication connection with a management terminal with data storage and historical data comparison functions, for transmitting the processed data and anomaly identification results to the management terminal; the management terminal with data storage and historical data comparison functions is used to generate a governance plan based on the received data.

5. The exhaust gas detection system based on multispectral fusion and dynamic compensation according to claim 4, characterized in that, The hardware unit with data processing capabilities is equipped with a data cache unit. The data cache unit is used to temporarily store the original exhaust gas composition detection data, temperature and humidity parameters, pressure parameters, and detection data after dynamic compensation and correction by the adaptive algorithm transmitted by the detection device. The data cache unit is also used to store the anomaly identification results and real-time processing results of the hardware unit with data processing capabilities.

6. The exhaust gas detection system based on multispectral fusion and dynamic compensation according to claim 4, characterized in that, The management terminal with data storage and historical data comparison functions also has historical data management functions. It can compare the processing results, anomaly identification results and historical data transmitted by hardware units with data processing capabilities, and supports query and statistical analysis operations on historical stored data.

7. The exhaust gas detection system based on multispectral fusion and dynamic compensation according to claim 4, characterized in that, The communication links between the hardware unit with data processing capabilities and the detection device, and between the hardware unit with data processing capabilities and the management terminal with data storage and historical data comparison functions, adopt an encrypted transmission method to ensure the security of detection data, processing results, and control commands during transmission.

8. A modular device for online detection of organic waste gas, characterized in that, The device is the detection apparatus in the detection system described in claim 4, comprising a chamber, an air inlet, a detection cavity, a calibration interface, casters, and a communication interface. The chamber is equipped with a pluggable sensor housing for mounting infrared spectroscopy sensors, ultraviolet spectroscopy sensors, a miniature gas chromatograph, a temperature and humidity sensor, and a pressure sensor, enabling rapid replacement and maintenance of these sensors. A multi-stage filtration module is installed at the air inlet, including a particulate filter for filtering particulate matter in the exhaust gas and a water vapor separator for separating water vapor from the exhaust gas. The inner wall of the detection cavity is coated with an anti-corrosion coating, and a guide plate is installed inside the detection cavity to guide the flow direction of the exhaust gas and optimize its flow path. The calibration interface is located at the top of the chamber and adopts a foldable structure design. The casters are installed at the bottom of the chamber to enable flexible movement of the device. The communication interface is reserved on the side wall of the chamber for data transmission between the detection device and a hardware unit with data processing capabilities.

9. The modular device for online detection of organic waste gas according to claim 8, characterized in that, The particulate filter and water vapor separator in the multi-stage filtration module are both assembled at the air inlet using a snap-on detachable connection method. The external dimensions of the particulate filter and water vapor separator are adapted to the diameter of the air inlet. The filtration levels of the particulate filter and the separation structure of the water vapor separator are adapted to the removal requirements of particulate matter and water vapor in organic waste gas.

10. The modular device for online detection of organic waste gas according to claim 8, characterized in that, The guide plates inside the detection chamber are spirally spaced along the axial direction of the detection chamber. The extension length of the guide plates matches the curvature of the inner wall of the detection chamber, and the number of guide plates is set according to the internal volume of the detection chamber and the preset residence time of the exhaust gas in the detection chamber.

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