An on-line ultraviolet ratio analyzer

Abstract

The application discloses an online ultraviolet ratio analyzer and relates to the field of ultraviolet ratio analyzers, and aims at solving the technical problems of low detection precision and influence of a steady flow structure on gas mixing ratio in traditional analyzers. The online ultraviolet ratio analyzer is based on a gas path pipe and a lamp source assembly component, a multi-section measurement management platform is arranged in the lamp source assembly component and is associated with each component, a to-be-measured gas enters the gas path pipe after primary detection and steady flow, the management platform collects parameter sets based on the lamp source assembly component, an interference action instruction is sent to a steady flow structure assembly by a built-in parameter correction model, an environmental interference coefficient is obtained through a dynamic detection component and a primary detection assembly, the parameter sets are secondarily corrected, the final detection ratio of gas components is calculated, and through a closed loop process of segmented collection, interference coefficient acquisition and parameter secondary correction, the interference of the steady flow structure and environmental factors is offset, the collection period can be adaptively adjusted, and dynamic balance between detection precision and equipment efficiency is achieved.

Description

Technical Field

[0001] This invention relates to the field of ultraviolet ratio analyzers, and more specifically to an online ultraviolet ratio analyzer. Background Technology

[0002] The core principle of the ultraviolet ratio analyzer follows the Lambert-Beer law. It achieves high-precision, non-contact measurement through simultaneous detection of multi-wavelength ultraviolet light. It plays a key role, especially in industrial process control, in monitoring the ratio of hydrogen sulfide (H2S) to sulfur dioxide (SO2). The technical content can be found in publication number CN102346135A. The technical principle is based on the absorption peaks of different gas mixtures at different wavelengths, where non-scattered ultraviolet light of a specific wavelength passes through the gas mixture to be tested.

[0003] In terms of the principle of ultraviolet ratio analysis, the flow state of the gas mixture is one of the key factors affecting the detection accuracy, such as excessive gas velocity, gas temperature, and flow state (laminar flow, turbulent flow). The technical essence lies in the instability of the optical detection signal (ultraviolet light source).

[0004] Therefore, a common practice is to set up a rectification / stabilization structure at the air inlet of the analyzer to form a stable and uniform airflow. However, the rectification / stabilization structure can also affect the actual detection structure, such as affecting the mixing ratio of different gases in the gas mixture during the rectification process. In response, this invention proposes a technical solution in which the rectification / stabilization and the actual measurement process are correlated and complementary. Summary of the Invention

[0005] The purpose of this invention is to provide an online ultraviolet ratio analyzer. Considering the working principle of the ultraviolet ratio analyzer, which is to stabilize the gas flow by setting a gas flow stabilization structure, it will also indirectly affect the mixing ratio of different gases in the gas mixture, thereby indirectly affecting the actual measurement data.

[0006] The objective of this invention can be achieved through the following technical solution: an online ultraviolet ratio analyzer, comprising a gas flow tube and a lamp source assembly assembly corresponding to the gas flow tube, a flow stabilizing structure assembly and a first detection assembly are provided at the gas inlet end of the gas flow tube, and a dynamic detection component is provided inside the gas flow tube.

[0007] The gas to be tested enters the gas path tube through the first detection assembly and the flow stabilization structure assembly in sequence. The lamp source assembly performs peak measurement on the gas to be tested in the gas path tube. The lamp source assembly is equipped with a multi-segment measurement management platform that associates the dynamic detection assembly, the flow stabilization structure assembly and the first detection assembly.

[0008] In the multi-segment measurement and management platform, data acquisition is performed based on the lamp source assembly to obtain the parameter set of the gas to be tested. In addition, a parameter correction model is constructed in the multi-segment measurement and management platform. The parameter correction model first sends an interference action command to the flow stabilization structure assembly. Under the interference action command, the environmental interference coefficient in the gas flow tube is obtained by the dynamic detection component and the first detection assembly. The parameter set is then corrected a second time using the environmental interference coefficient.

[0009] Further settings include: setting a collection period Z during the data acquisition process, where Z is a relative variable value; data acquisition is segmented based on the collection period Z; and several parameter sets are derived from the segmented collection process.

[0010] The configuration is further defined as follows: the first detection assembly is used to detect the basic physical parameters of the gas to be tested, including flow rate V, temperature T, and initial concentration C0; the dynamic detection component is used to collect optical signals in the gas path tube and the dynamic basic parameters ΔV, ΔT, and ΔC0 of the gas to be tested in the gas path tube.

[0011] Further configured as follows: the interference action command is used to control the flow stabilization structure assembly to fine-tune the flow stabilization parameters, the flow stabilization parameters including the rectifier channel diameter and the airflow buffer strength, and the parameter correction model has a built-in interference coefficient simulation formula, expressed as K=f( V , T , C0 This is used to calculate the environmental interference coefficient K, which includes a steady-flow structure interference factor, a gas flow state interference factor, and an ambient temperature interference factor. f is a preset interference coefficient mapping function. V , T , C0 These represent the ratios of the differences in flow rate, temperature, and concentration before and after the flow stabilization assembly executes the disturbance action command, specifically the ratios of the preset parameters for flow rate, temperature, and concentration to the dynamic baseline parameters acquired by the dynamic detection component. V =Vs / ΔV、 T =Ts / ΔT、 C0 =C 0s / ΔC0, Vs, Ts, C 0s These are preset parameters for flow rate, temperature, and concentration.

[0012] Further settings include: in the calculation of the environmental disturbance coefficient K, flow rate is the first priority consideration, concentration is the second priority consideration, and temperature is not a priority consideration.

[0013] The parameter correction model is further configured with a secondary correction formula ΔSn=Sn×(1-K / λ) to correct each sub-parameter set and obtain the corrected sub-parameter set. ΔSn is the corrected sub-parameter set, Sn is the original sub-parameter set, K is the environmental interference coefficient, and λ is the wavelength correction coefficient of the lamp source assembly.

[0014] Further configuration: The multi-segment measurement management platform integrates all corrected sub-parameter sets into the final parameter set S. sj The final detection ratio R of the gas components is calculated by the ratio calculation mapping function R=F(Ssj, ε, L). The multi-segment measurement management platform can adaptively adjust the value of the acquisition period Z according to the changing trend of the environmental interference coefficient K: when the K value fluctuates greatly, the acquisition period Z is reduced to increase the data acquisition frequency; when the K value tends to be stable, the acquisition period Z is increased to reduce the energy consumption of the equipment.

[0015] The present invention has the following beneficial effects:

[0016] 1. This invention collects basic gas parameters by setting up a first-stage detection assembly and a dynamic detection component to cooperate in collecting gas basic parameters. Combined with the parameter correction model, it sends interference action commands to the flow stabilization structure assembly and calculates the environmental interference coefficient. It then performs precise secondary correction on the parameter set collected in segments. This not only cancels the direct influence of the flow stabilization structure on the gas mixing ratio during the rectification and stabilization process, but also eliminates the indirect interference of factors such as gas flow state and ambient temperature on the optical detection signal, making the final detection ratio more consistent with the actual component ratio of the gas to be tested.

[0017] 2. In addition, the acquisition cycle is set to an adaptively adjustable relative variable value. The acquisition frequency is adjusted in real time according to the fluctuation trend of the environmental interference coefficient. When the interference is large, the frequency is increased to maintain accuracy, and when the environment is stable, the frequency is increased / energy consumption is reduced. At the same time, a closed-loop process of "segmented acquisition - interference coefficient acquisition - secondary parameter correction - ratio calculation - adaptive adjustment" is constructed. The multi-segment measurement management platform is associated with all detection and execution components to complete the fully automated control of the entire process from initial gas detection and flow stabilization to parameter correction and ratio output. Online continuous and accurate detection can be achieved without manual intervention, realizing a dynamic balance between detection accuracy and equipment efficiency, and achieving fully automated closed-loop detection. Attached Figure Description

[0018] 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 these drawings without creative effort.

[0019] Figure 1This is a schematic diagram of the structure of an online ultraviolet ratio analyzer proposed in this invention;

[0020] Figure 2 This is a schematic diagram of the operation of a multi-segment measurement management platform in an online ultraviolet ratio analyzer proposed in this invention.

[0021] In the diagram: 1. Airflow tube; 2. Lamp source assembly; 3. Current stabilization structure assembly; 4. First and second detection assembly. Detailed Implementation

[0022] The technical solution of the present invention will be clearly and completely described below with reference to the embodiments. 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.

[0023] Example 1: Considering the working principle of the ultraviolet ratio analyzer, although setting a gas flow stabilization structure can stabilize the gas flow state, it will also indirectly affect the mixing ratio of different gases in the gas mixture, thus indirectly affecting the actual measurement data. The following technical solution is proposed to address this:

[0024] Reference Figure 1 and Figure 2 The present invention provides an online ultraviolet ratio analyzer, which includes an air passage tube 1 and a lamp source assembly 2 corresponding to the air passage tube 1. A flow stabilizing structure assembly 3 and a first detection assembly 4 are provided at the air inlet end of the air passage tube 1, and a dynamic detection component is provided inside the air passage tube 1.

[0025] Basic working principle: First, a brief explanation of the operation of the online ultraviolet ratio analyzer: The gas to be tested flows into the gas path tube 1 at a relatively stable speed. The lamp source assembly 2 is set in the direction perpendicular to the flow direction of the gas to be tested. The lamp source assembly 2 is essentially an ultraviolet light source, with a generator and a receiver as its basic structure. The ultraviolet light is emitted from the generator and passes through the gas to be tested. It is important to note that the generator needs to provide stable and continuous ultraviolet light covering a wide wavelength range (usually 190–400nm). The light is transmitted through an optical fiber into the gas path tube 1 and interacts with the corresponding gases (such as H2S, SO2, etc.) in the gas to be tested. The remaining light intensity is received by the receiver (2048 pixel CCD photometric measurement unit) and converted into an electrical signal. Based on the proportional relationship between absorbance and concentration, combined with the calibration curve, the real-time concentrations of H2S and SO2 are accurately calculated, and their ratio is automatically output.

[0026] Because the flow state of the gas to be tested is one of the key factors affecting measurement accuracy, high-end detection processes generally involve pretreatment of the gas to be tested, such as filtration, pressure stabilization, and dehumidification modules, to ensure that the gas entering the sample chamber is clean and dry, preventing impurities from interfering with or contaminating optical components. In this invention, the temperature and pressure module is simply referred to as the flow stabilization structure assembly 3. Its purpose is to change the flow rate of the gas to be tested entering the gas flow tube 1. Essentially, it can be a labyrinth-type speed limiter or a conventional valve structure. This part will not be described in detail in this invention. The key point to note is that actively changing the flow state of the gas to be tested will also indirectly affect the actual measurement data. Therefore, the basic technical requirement of this invention is to perform secondary correction on the actual measurement data based on providing a gas flow stabilization method.

[0027] Example 2: The overall invention will be described in the following order based on the working principle of Example 1:

[0028] Step 1: Preliminary preparation and data collection cycle setting

[0029] The multi-segment measurement management platform first completes the initial parameter configuration. Based on the type of gas to be measured (such as industrial mixed gas of H2S and SO2) and the preset detection accuracy requirements, it sets the dynamic acquisition period Z (Z is a relative variable value that can be adaptively adjusted according to the real-time flow state of the gas). Based on the acquisition period Z, it divides the acquisition time periods into segments and determines the parameter acquisition dimensions and frequency of each time period, establishing basic rules for subsequent segmented data acquisition. At the same time, the multi-segment measurement management platform completes the wavelength calibration of the lamp source assembly 2, so that it outputs multi-wavelength non-scattering ultraviolet light that meets the detection requirements of Lambert-Beer's law. It also completes the zero-point calibration of the steady flow structure assembly 3, the first detection assembly 4, and the dynamic detection component. This part belongs to the basic operation process of the ratio analyzer, so the specific values ​​are not described in detail in this embodiment.

[0030] Step 2: Initial detection of the gas to be tested and preliminary data collection

[0031] The gas to be tested first flows through the first detection assembly 4. The first detection assembly 4 detects the basic physical parameters of the gas (flow rate V, temperature T, initial concentration C0). Therefore, the first detection assembly 4 essentially includes the corresponding sensor structure for temperature, flow rate, and concentration, and uploads the detection data to the multi-segment measurement management platform in real time. The platform performs preliminary storage and anomaly judgment on these basic parameters. If the parameters exceed the preset threshold, the platform will issue an early warning and adjust the initial working state of the flow stabilization structure assembly 3.

[0032] The above section needs to be supplemented again: Although the flow stabilization structure assembly 3 can change the flow state of the gas to be tested entering the gas flow tube 1 in advance, slight deviations will still occur in actual situations. Therefore, a dynamic detection component needs to be set inside the gas flow tube 1. Its function is basically the same as that of the first detection assembly 4, which is to obtain the basic physical parameters of the gas to be tested.

[0033] After being detected by the first detection assembly 4, the gas to be tested flows through the flow stabilization structure assembly 3 to complete the flow stabilization / rectification before entering the gas path tube 1. At this time, the multi-segment measurement management platform sends a detection command to the lamp source assembly 2. The lamp source assembly 2 emits multi-wavelength ultraviolet light into the gas path tube 1. After the ultraviolet light passes through the gas to be tested, the optical signal is acquired by the dynamic detection component. The optical signal is converted from analog to digital to form an initial parameter set S, which is then uploaded to the multi-segment measurement management platform. It should be noted that the initial parameter set S mainly represents the test parameters, but it does not just represent a single parameter. It is mainly determined by the analysis and testing requirements.

[0034] The platform, according to a preset acquisition period Z, splits the initial parameter set S into sub-parameter sets S1, S2, S3...S corresponding to the segmented acquisition time periods. n The first round of data collection has been completed;

[0035] Step 3: Sending interference action commands and obtaining environmental interference coefficients

[0036] The multi-segment measurement and management platform calls the built-in parameter correction model and sends an interference action command to the flow stabilization structure assembly 3 based on the ultraviolet light emission parameters of the lamp source assembly 2. This command will control the flow stabilization structure assembly 3 to fine-tune its flow stabilization parameters, such as the diameter of the rectifier channel and the airflow buffer strength, to simulate the slight influence of the flow stabilization structure on the gas mixing state in actual work and form a controllable "interference environment".

[0037] During the interference action performed by the flow stabilization assembly 3, the multi-segment measurement and management platform synchronously schedules the first detection assembly 4 and the dynamic detection component to perform synchronous detection. For example, the first detection assembly 4 collects the real-time basic parameters V, T, and C0 of the gas under interference conditions, and the dynamic detection component collects the optical signal change ΔS within the gas path tube 1 under interference conditions. After the flow stabilization / rectification action of the flow stabilization assembly 3, the dynamic detection component located inside the gas path tube 1 again acquires the dynamic basic parameters ΔV, ΔT, and ΔC0. The platform substitutes these changes into the interference coefficient simulation formula of the parameter correction model, which is expressed as K=f( V , T , C0The environmental disturbance coefficient K (K is a comprehensive coefficient that includes multiple influencing factors such as steady flow structure disturbance, gas flow state disturbance, and ambient temperature disturbance) is calculated using the disturbance coefficient simulation formula. Here, f is the preset disturbance coefficient mapping function in the parameter correction model. It is also necessary to clarify that the disturbance coefficient simulation formula... V , T , C0 These represent the ratios of the differences in flow rate, temperature, and concentration before and after the change. Specifically, the flow stabilization assembly 3 obtains the corresponding calculable parameters after completing the disturbance action command. Since the flow stabilization assembly 3 is mainly used to adjust the flow rate, a conventional electrically controlled valve body can be used as the main component. After the electrically controlled valve body outputs the corresponding control command (adjusting the opening), the preset parameters of flow rate, temperature, and concentration can be roughly estimated based on the real-time basic parameters V, T, and C0. s T s C 0s This is represented by the corresponding preset parameters, so the interference coefficient simulation formula can include... V =V s / ΔV、 T =T s / ΔT、 C0 =C 0s / ΔC0;

[0038] Temperature is not a priority consideration; flow rate is the first priority consideration, followed by concentration.

[0039] Step 4: Secondary correction of parameter set and calculation of final ratio

[0040] The multi-segment measurement and management platform substitutes the calculated environmental interference coefficient K into the quadratic correction formula of the parameter correction model to adjust the sub-parameter sets S1, S2, S3...S after the splitting in step 2. n The correction is performed group by group, and the correction formula for a single sub-parameter set is ΔS. n =S n ×(1-K / λ) (λ is the wavelength correction coefficient of lamp source assembly component 2, determined by the detection wavelength of ultraviolet light), after correction, the corrected sub-parameter set ΔS1, ΔS2, ΔS3...ΔS is obtained. n And integrate the modified sub-parameter sets into the final parameter set S. sj ;

[0041] Finally, the platform is based on the Lambert-Beer law, with the final parameter set S sj Based on this, the characteristic absorption peak ratios of each target component (such as H2S and SO2) in the gas to be tested are calculated, and then expressed using the formula R=F(S sjThe final detection ratio R of the gas components is obtained by (ε, L) (where ε is the molar absorptivity of the target gas, L is the optical path length of the ultraviolet light in the gas path tube 1, and F is the ratio calculation mapping function), and the detection data is stored, displayed and output, thus completing a complete detection process;

[0042] Step 5: Loop Detection and Adaptive Adjustment

[0043] The multi-segment measurement management platform will repeat steps 2-4 above according to the preset detection frequency to achieve online continuous detection of the gas to be tested. During the cyclic detection process, the platform will adaptively adjust the value of the acquisition cycle Z in real time according to the changing trend of the environmental interference coefficient K: if the K value fluctuates greatly, it indicates that the gas flow state or environmental interference is strong, and the platform will reduce the Z value and increase the data acquisition frequency; if the K value tends to be stable, it indicates that the detection environment is good, and the platform will increase the Z value to reduce equipment energy consumption and achieve a dynamic balance between detection accuracy and equipment efficiency.

[0044] In conjunction with step 5, it should also be noted that in the process of selecting the value of k in the correction formula, the flow rate is the first priority consideration. This can be understood as follows: based on the environmental disturbance coefficient K, if the flow rate K value fluctuates greatly, the concentration K value is considered as the K value in the correction formula, and vice versa.

[0045] If the K values ​​of flow rate and concentration do not fluctuate significantly, or if the fluctuations are significant, then flow rate should be the first consideration.

[0046] In this embodiment, the multi-segment measurement management platform effectively offsets the influence of the stabilizing structure assembly 3 on the gas mixing ratio during the rectification and stabilization process through a closed-loop operation process of "segmented acquisition - interference coefficient acquisition - parameter secondary correction". At the same time, it eliminates the interference of factors such as gas flow state and ambient temperature on the optical detection signal, so that the final detection ratio R is closer to the actual component ratio of the gas to be measured, which greatly improves the detection accuracy of the online ultraviolet ratio analyzer.

[0047] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to specific implementations. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. An online ultraviolet ratio analyzer, comprising a gas flow tube (1) and a lamp source assembly (2) corresponding to the gas flow tube (1), characterized in that, A flow stabilizing structure assembly (3) and a first detection assembly (4) are provided at the air inlet end of the air pipe (1), and a dynamic detection component is provided inside the air pipe (1); The gas to be tested passes through the first detection assembly (4) and the flow stabilization structure assembly (3) in sequence and enters the gas path tube (1). The lamp source assembly (2) performs peak measurement on the gas to be tested in the gas path tube (1). A multi-segment measurement management platform with associated dynamic detection assembly, flow stabilization structure assembly (3) and first detection assembly (4) is set in the lamp source assembly (2). In the multi-segment measurement management platform, the parameter set of the gas to be measured is obtained by data acquisition based on the lamp source assembly (2), and a parameter correction model is constructed in the multi-segment measurement management platform. The parameter correction model first sends an interference action command to the steady flow structure assembly (3). Under the interference action command, the parameter set is corrected a second time based on the environmental interference coefficient in the gas path tube (1) obtained by the dynamic detection component and the first detection assembly.

2. The online ultraviolet ratio analyzer according to claim 1, characterized in that, During the data acquisition process, a collection period Z is set, where Z is a relative variable. The data acquisition process is divided into segments based on the collection period Z, and several parameter sets are extracted based on the segmented collection process.

3. The online ultraviolet ratio analyzer according to claim 2, characterized in that, The first detection assembly is used to detect the basic physical parameters of the gas to be tested, including flow rate V, temperature T, and initial concentration C0. The dynamic detection component is used to collect optical signals in the gas path tube and the dynamic basic parameters ΔV, ΔT, and ΔC0 of the gas to be tested in the gas path tube.

4. The online ultraviolet ratio analyzer according to claim 3, characterized in that, The interference action command is used to control the flow stabilization structure assembly to fine-tune the flow stabilization parameters. These parameters include the rectifier channel diameter and the airflow buffer strength. The parameter correction model has a built-in interference coefficient simulation formula, expressed as K=f( V , T , C0 This is used to calculate the environmental interference coefficient K, which includes a steady-flow structure interference factor, a gas flow state interference factor, and an ambient temperature interference factor. f is a preset interference coefficient mapping function. V , T , C0 These represent the ratios of the differences in flow rate, temperature, and concentration before and after the flow stabilization assembly executes the disturbance action command, specifically the ratios of the preset parameters for flow rate, temperature, and concentration to the dynamic baseline parameters acquired by the dynamic detection component. V =Vs / ΔV、 T =Ts / ΔT、 C0 =C 0s / ΔC0, Vs, Ts, C 0s These are preset parameters for flow rate, temperature, and concentration.

5. An online ultraviolet ratio analyzer according to claim 4, characterized in that, In the calculation of the environmental disturbance coefficient K, flow velocity is the first priority consideration, concentration is the second priority consideration, and temperature is not a priority consideration.

6. The online ultraviolet ratio analyzer according to claim 5, characterized in that, The parameter correction model includes a secondary correction formula ΔSn=Sn×(1-K / λ) to correct each sub-parameter set and obtain the corrected sub-parameter set. ΔSn is the corrected sub-parameter set, Sn is the original sub-parameter set, K is the environmental interference coefficient, and λ is the wavelength correction coefficient of the lamp source assembly.

7. An online ultraviolet ratio analyzer according to claim 6, characterized in that, The multi-segment measurement management platform integrates all corrected sub-parameter sets into a final parameter set S. sj The final detection ratio R of the gas components is calculated by the ratio calculation mapping function R=F(Ssj, ε, L). The multi-segment measurement management platform can adaptively adjust the value of the acquisition period Z according to the changing trend of the environmental interference coefficient K: when the K value fluctuates greatly, the acquisition period Z is reduced to increase the data acquisition frequency; when the K value tends to be stable, the acquisition period Z is increased to reduce the energy consumption of the equipment.

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