A high-stability ozone generation monitoring system and device

Abstract

The application relates to a high-stability ozone generation monitoring system and device, in particular to the technical field of ozone generation monitoring, which comprises an information acquisition module, a sample construction module, a sample storage module, an adjustment and optimization module, a power control module and a concentration output module; the information acquisition module is used for periodically acquiring light cell information, gas information and working information during ozone generation device operation; the sample construction module is used for analyzing ozone concentration according to the light cell information and the gas information, and is also used for constructing ozone sample data according to the ozone concentration and the working information; the sample storage module is used for storing the ozone sample data; the adjustment and optimization module is used for adjusting the analysis process of a power parameter, extracting ozone similar data, and optimizing the adjustment process of the power parameter according to the ozone similar data; the power control module is used for controlling light source power according to the power parameter; and the concentration output module is used for outputting the ozone concentration. The application realizes accurate monitoring of ozone generation concentration.

Description

Technical Field

[0001] This invention relates to the field of ozone generation monitoring technology, and in particular to a highly stable ozone generation monitoring system and device. Background Technology

[0002] Because ozone molecules are extremely unstable and easily decompose, traditional gas preparation methods cannot be used to store ozone standard gas in cylinders; ozone standard gas needs to be generated dynamically and in real time. Currently, to calibrate equipment such as ozone monitors (analyzers), an ozone standard generator is required as an internal standard source. As the primary standard for metrological standards, the repeatability, stability, linearity, and reproducibility of the ozone generator are fundamental to ensuring accurate measurement transmission. This invention addresses these characteristics by developing a highly stable ozone standard generation and monitoring device and method.

[0003] Chinese Patent Publication No. CN104360692A discloses a feedback control device for a low-concentration standard ozone generator, comprising a pressure regulator, an ozone generator, a flow controller, a gas valve assembly, a dual-path ultraviolet spectrophotometer, a gas extraction device, and an embedded computer. This invention solves the problem of low accuracy in generating low-concentration ozone gas, achieving control and adjustment of the low-concentration ozone generator and real-time calibration of the output concentration, with advantages of fast response time and high measurement accuracy. However, while this invention achieves analysis and control of the ozone generator's output concentration, it does not achieve comprehensive analysis of various data during ozone generator operation or historical data, resulting in low efficiency in monitoring ozone concentration and inaccurate ozone concentration acquisition. Summary of the Invention

[0004] Therefore, the present invention provides a highly stable ozone generation monitoring system and device to overcome the problems of low ozone generation concentration monitoring efficiency and inaccurate ozone concentration acquisition in the prior art.

[0005] To achieve the above objectives, in one aspect, the present invention provides a highly stable ozone generation monitoring system, comprising:

[0006] The information acquisition module is used to periodically acquire photocell information, gas information, and operating information of the ozone generator during operation.

[0007] The sample construction module is used to analyze ozone concentration based on photocell information and gas information, and also to construct ozone sample data based on ozone concentration and working information.

[0008] The sample storage module is used to store ozone sample data;

[0009] The sample analysis module is used to analyze power parameters based on ozone concentration;

[0010] The adjustment and optimization module is used to analyze the photovoltaic pool volatility and cooling change parameters based on the stored ozone sample data, and to adjust the power parameter analysis process based on the photovoltaic pool volatility and cooling change parameters. It is also used to extract ozone similar data based on the stored ozone sample data, and to optimize the power parameter adjustment process based on the ozone similar data.

[0011] The power control module is used to control the power of the light source according to the power parameters;

[0012] The concentration output module is used to output the ozone concentration.

[0013] Furthermore, the sample construction module calculates the ozone concentration using a concentration analysis formula based on the light pool length, light pool temperature, light pool pressure, zero-energy light intensity, and sample gas light intensity. The concentration analysis formula provided by the sample construction module is as follows:

[0014]

[0015] Among them, C O3 The values ​​represent ozone concentration, K represents absorption coefficient, L represents photocell length, T represents photocell temperature, P represents photocell pressure, W0 represents zero gas light intensity, and W represents sample gas light intensity.

[0016] The sample construction module constructs ozone sample data based on ozone concentration, light source voltage, light source current, and coolant temperature. The ozone sample data is a one-dimensional array, and the sample construction module has the following ozone sample data structure:

[0017] F[i] = {A,B,t1,C} O3 ,T,W0 / W}

[0018] A = U × I

[0019] B = t2 - t1

[0020] Where F[i] represents ozone sample data, i represents array number, i={1,2,3,4,5,6}, F[1]=A, F[2]=B, F[3]=t1, F[4]=C O3 F[5]=T, F[6]=W0 / W, A represents working power, B represents coolant temperature difference, t1 represents input temperature, t2 represents output temperature, U represents light source voltage, and I represents light source current.

[0021] Furthermore, the sample analysis module includes a standard analysis unit, which is used to calculate the standard parameters based on the preset standard concentration using a first parameter analysis formula. The first parameter analysis formula of the standard analysis unit is as follows:

[0022]

[0023] Where a represents the standard parameter and c represents the preset standard concentration.

[0024] Furthermore, the sample analysis module also includes a power analysis unit, which is used to calculate the power parameters based on standard parameters, light source voltage, light source current, and gas information using a second parameter analysis formula. The power analysis unit has the following second parameter analysis formula:

[0025] Z = U × I × (W0 - W × a) / (W × a)

[0026] Where Z represents the power parameter.

[0027] Furthermore, the power control module controls the power of the light source according to the power parameters, wherein:

[0028] When Z > 0, the power control module controls the increase of the light source power, and the change in the light source power is Z.

[0029] When Z=0, the power control module does not control the power of the light source;

[0030] When Z < 0, the power control module controls the reduction of the light source power, and the change in the light source power is Z.

[0031] Furthermore, the adjustment and optimization module includes a light pool analysis unit, which is used to calculate the light pool volatility based on the stored ozone sample data using a light pool temperature analysis formula. The light pool analysis unit includes the following light pool temperature analysis formula:

[0032]

[0033] Where X represents the light pool volatility, Fj[5] represents the light pool temperature in the stored ozone sample data, j represents the storage number, j∈N + j max This indicates the maximum value of the storage number.

[0034] Furthermore, the adjustment and optimization module also includes a cooling analysis unit, which is used to calculate cooling change parameters based on the stored ozone sample data using a cooling temperature analysis formula. The cooling analysis unit includes the following cooling temperature analysis formula:

[0035]

[0036] Where Y represents the cooling variation parameter, Fj[2] represents the coolant temperature difference in the stored ozone sample data, and Fj[3] represents the input temperature in the stored ozone sample data.

[0037] Furthermore, the adjustment and optimization module also includes an analysis and adjustment unit, which compares the optical pool volatility with the volatility threshold, and adjusts the power parameter analysis process based on the comparison results and cooling change parameters, wherein:

[0038] When X > x, the analysis and adjustment unit determines that the temperature fluctuation of the photocell is large, and adjusts the analysis process of the power parameters. The adjusted power parameters are Z1, and Z1 is set to Z × log T Y;

[0039] When X≤x, the analysis and adjustment unit determines that the photocell temperature is stable and does not adjust the power parameter analysis process;

[0040] Where x represents the fluctuation threshold, 1≤x≤4.

[0041] Furthermore, the adjustment and optimization module is also equipped with a data extraction unit, which is used to extract ozone sample data with the same ozone concentration from the stored ozone sample data and use it as ozone similar data, denoted as F[Cn,k][i], where Cn represents the ozone concentration in the stored ozone sample data and k is the number of the ozone similar data with the same ozone concentration.

[0042] The adjustment and optimization module also includes an analysis and optimization unit, which compares the ozone concentration with ozone concentrations in similar ozone data and optimizes the power parameter adjustment process based on the comparison results, wherein:

[0043] When C exists O3 When =Cn, the analysis and optimization unit optimizes the adjustment process of the power parameters, and the optimized power parameters are Z2, which is set to Z2 = Z1 × f;

[0044] When C does not exist O3 When Cn = , the analysis and optimization unit does not optimize the power parameter adjustment process;

[0045] Where f represents the optimization parameter, and f is set to (∑F[C O3 ,k][6]) / (k max ×W0 / W), k max This represents the maximum value of the number of ozone-similar data with the same ozone concentration.

[0046] On the other hand, the present invention also provides a highly stable ozone generation monitoring device, comprising:

[0047] Mercury lamps are used to emit ultraviolet light of a fixed wavelength;

[0048] The fluoroscope is used to filter out the ultraviolet light required for ozone detection and to ensure that the optical path is collimated. The fluoroscope is connected to the mercury lamp.

[0049] A beam splitter is used to split and reflect the filtered ultraviolet light to form parallel light. The beam splitter is connected to the lens.

[0050] The light cell is used to alternately pass zero gas and sample gas; the light cell is connected to the beam splitter.

[0051] A photometric detector is used to receive ultraviolet light and detect absorbance; the photometric detector is connected to the photocell.

[0052] A flow meter is used to measure the gas flow rate in ozone detection. The flow meter is connected to a photometric detector.

[0053] An air pump is used to output sample gas; the air pump is connected to a flow meter.

[0054] A pressure sensor is used to obtain the gas pressure inside the light cell; the pressure sensor is connected to the light cell.

[0055] A temperature sensor is used to obtain the gas temperature inside the light cell; the temperature sensor is connected to the light cell.

[0056] The signal input electronic module is used to transmit the gas pressure and gas temperature in the photocell to the controller, which is used to control the ozone generation and detection process. The signal input electronic module is connected to the pressure sensor and the temperature sensor.

[0057] Zero gas generator, used to generate the zero gas required for ozone generation;

[0058] A mass flow controller is used to control the input flow rate of zero gas. The mass flow controller is connected to the zero gas generator.

[0059] Zero gas transmitter, used to transmit zero gas generated by the zero gas generator, is connected to the mass flow controller;

[0060] An ozone generator is used to produce sample gas. The ozone generator is connected to a mass flow controller.

[0061] The sample gas control valve is used to control the flow rate of the sample gas and is connected to the ozone generator.

[0062] Zero gas control valve is used to control the flow rate of zero gas. The zero gas control valve is connected to the zero gas transmitter.

[0063] The SV electric regulating valve is used to regulate the flow rate of sample gas and zero gas. The SV electric regulating valve is connected to the sample gas control valve and the zero gas control valve.

[0064] Compared with existing technologies, the beneficial effects of this invention are as follows: By acquiring photocell information, gas information, and operational information through the information acquisition module, the accuracy of data acquisition by the system is improved, thereby increasing the system's monitoring efficiency for ozone concentration and improving the accuracy of ozone concentration acquisition. By analyzing photocell and gas information through the sample construction module, the ozone concentration is determined, further improving the system's monitoring efficiency for ozone concentration and improving the accuracy of ozone concentration acquisition. By analyzing ozone concentration and operational information through the sample construction module, ozone sample data is constructed, representing the relationship between various operating parameters of the ozone generator during operation, increasing the diversity of system analysis, thereby improving the system's monitoring efficiency for ozone concentration and improving the accuracy of ozone concentration acquisition. By storing ozone sample data through the sample storage module, the accuracy of stored system data is ensured, thereby improving the system's monitoring efficiency for ozone concentration and improving the accuracy of ozone concentration acquisition. Finally, by analyzing ozone concentration through the sample analysis module, the accuracy of ozone concentration is further improved. The power parameters are analyzed to represent the required adjustment of the light source power by the ozone generator to ensure that the ozone output concentration meets the standard. This improves the system's monitoring efficiency and accuracy in ozone concentration acquisition. The adjustment and optimization module analyzes stored ozone sample data to adjust and optimize the power parameter analysis process, achieving dynamic adjustment of the power parameters. This makes the power parameters correlated with the fluctuations and similar data of the sample data, thereby improving the system's monitoring efficiency and accuracy in ozone concentration acquisition. The power control module analyzes the power parameters to control the light source power, changing the ozone generator's operating data and thus the ozone concentration, ensuring stable ozone output. This further improves the system's monitoring efficiency and accuracy in ozone concentration acquisition. Finally, the concentration output module outputs the ozone concentration to improve the system's output accuracy, thereby enhancing the system's monitoring efficiency and accuracy in ozone concentration acquisition. Attached Figure Description

[0065] Figure 1 This is a structural block diagram of the high-stability ozone generation monitoring system in this embodiment;

[0066] Figure 2 This is a structural block diagram of the sample analysis module in this embodiment;

[0067] Figure 3 The structural block diagram of the adjusted and optimized module in this embodiment;

[0068] Figure 4 This is a structural block diagram of the high-stability ozone generation monitoring device in this embodiment. Detailed Implementation

[0069] To make the objectives and advantages of the present invention clearer, the present invention will be further described below with reference to embodiments; it should be understood that the specific embodiments described herein are merely for explaining the present invention and are not intended to limit the present invention.

[0070] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0071] Furthermore, it should be noted that, in the description of this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0072] Please see Figure 1 As shown, this embodiment presents a highly stable ozone generation monitoring system, comprising:

[0073] The information acquisition module is used to periodically acquire photocell information, gas information, and operating information during the operation of the ozone generator. The photocell information includes photocell length, photocell temperature, and photocell pressure. The gas information includes zero-gas light intensity and sample gas light intensity. The operating information includes light source voltage, light source current, and coolant temperature. The coolant temperature includes input temperature and output temperature. The zero-gas light intensity is the signal intensity of ozone-free pure air passing through an ultraviolet detector. The sample gas light intensity is the signal intensity of ozone-containing gas passing through an ultraviolet detector. The gas information is acquired through ultraviolet detector signal monitoring. The ultraviolet detector is a device that emits 254nm ultraviolet light. Ozone can absorb 254nm ultraviolet light in the photocell. The light source voltage and light source current are the voltage and current of the low-pressure mercury lamp in the ozone generator. The operating information is acquired through ozone generator operating data import. The photocell information is acquired through sensors inside the photocell.

[0074] The sample construction module is used to analyze ozone concentration based on photocell information and gas information, and also to construct ozone sample data based on ozone concentration and working information. The sample construction module is connected to the information acquisition module.

[0075] A sample storage module is used to store ozone sample data, and the sample storage module is connected to the sample construction module;

[0076] The sample analysis module is used to analyze power parameters based on ozone concentration, and the sample analysis module is connected to the sample construction module.

[0077] The adjustment and optimization module is used to analyze the photovoltaic pool volatility and cooling change parameters based on the stored ozone sample data, and to adjust the power parameter analysis process based on the photovoltaic pool volatility and cooling change parameters. It is also used to extract ozone similar data based on the stored ozone sample data, and to optimize the power parameter adjustment process based on the ozone similar data. The adjustment and optimization module is connected to the sample analysis module and the sample storage module.

[0078] A power control module is used to control the power of the light source according to power parameters. The power control module is connected to the adjustment and optimization module. The power of the light source is the power of the low-pressure mercury lamp in the ozone generator.

[0079] The concentration output module is used to output the ozone concentration, and the concentration output module is connected to the power control module.

[0080] Please see Figure 2 As shown, the sample analysis module includes:

[0081] The standard analysis unit is used to analyze standard parameters according to preset standard concentrations;

[0082] The power analysis unit is used to analyze power parameters based on standard parameters, light source voltage, light source current, and gas information. The power analysis unit is connected to the standard analysis unit.

[0083] Please see Figure 3 As shown, the adjustment and optimization module includes:

[0084] The photoluminescence analysis unit is used to analyze the volatility of the photoluminescence pool based on stored ozone sample data.

[0085] The cooling analysis unit is used to analyze cooling change parameters based on stored ozone sample data;

[0086] An analysis and adjustment unit is used to adjust the power parameters analysis process based on the optical pool volatility and cooling variation parameters. The analysis and adjustment unit is connected to the optical pool analysis unit and the cooling analysis unit.

[0087] A data extraction unit is used to extract ozone similarity data based on stored ozone sample data. The data extraction unit is connected to the analysis and adjustment unit.

[0088] An analysis and optimization unit is used to optimize the adjustment process of power parameters based on ozone similarity data. The analysis and optimization unit is connected to the data extraction unit.

[0089] Specifically, this embodiment is applied to an ozone generation monitoring device. By analyzing the ozone generator and various data from ozone generation detection, the ozone concentration is determined, and the operating parameters of the ultraviolet ozone generator are adjusted to make ozone generation more stable. The information acquisition module acquires information from the photocell, gas, and operating data to improve the accuracy of data acquisition, thereby increasing the system's monitoring efficiency and accuracy of ozone concentration acquisition. The sample construction module analyzes the photocell and gas information to determine the ozone concentration, further improving the system's monitoring efficiency and accuracy of ozone concentration acquisition. The sample construction module analyzes the ozone concentration and operating information to construct ozone sample data, which represents the relationship between various operating parameters of the ozone generator during operation, increasing the diversity of system analysis and thus improving the system's monitoring efficiency and accuracy of ozone concentration acquisition. The sample storage module stores the ozone sample data to ensure the accuracy of the stored data, thereby improving the system's monitoring efficiency and accuracy of ozone concentration acquisition. The accuracy of high ozone concentration acquisition is improved by analyzing ozone concentration through the sample analysis module to determine power parameters. These power parameters represent the required adjustment of the light source power by the ozone generator to ensure the ozone output concentration meets standards, thereby improving the system's monitoring efficiency and accuracy of ozone concentration acquisition. Furthermore, the adjustment and optimization module analyzes stored ozone sample data to adjust and optimize the power parameter analysis process, enabling dynamic adjustment of the power parameters. This ensures the power parameters correlate with the fluctuations in sample data and similar data, thus improving the system's ability to... The system improves the efficiency of ozone concentration monitoring and the accuracy of ozone concentration acquisition. This is achieved by analyzing power parameters through the power control module to control the light source power. Changing the light source power alters the ozone generator's operating data, thereby changing the ozone concentration and ensuring stable ozone output. This enhances the system's monitoring efficiency and improves the accuracy of ozone concentration acquisition. Furthermore, the concentration output module improves the accuracy of the system's output, further enhancing the overall efficiency of ozone concentration monitoring and the accuracy of ozone concentration acquisition.

[0090] Specifically, in this embodiment, the sample construction module calculates the ozone concentration using a concentration analysis formula based on the light pool length, light pool temperature, light pool pressure, zero-energy light intensity, and sample gas light intensity. The concentration analysis formula for the sample construction module is as follows:

[0091]

[0092] Among them, C O3The values ​​represent ozone concentration, K represents the absorption coefficient, L represents the photocell length, T represents the photocell temperature, P represents the photocell pressure, W0 represents the zero-gas light intensity, and W represents the sample gas light intensity. It is worth noting that in this embodiment, the absorption coefficient is a constant in Beer-Lambert's law, specifically the ozone absorption coefficient for ultraviolet light, with a value of K = 1.147 × 10⁻⁶. -17 .

[0093] Specifically, in this embodiment, the sample construction module constructs ozone sample data based on ozone concentration, light source voltage, light source current, and coolant temperature. The ozone sample data is a one-dimensional array, and the sample construction module has the following ozone sample data structure:

[0094] F[i] = {A,B,t1,C} O3 ,T,W0 / W}

[0095] A = U × I

[0096] B = t2 - t1

[0097] Where F[i] represents ozone sample data, i represents array number, i={1,2,3,4,5,6}, F[1]=A, F[2]=B, F[3]=t1, F[4]=C O3 F[5]=T, F[6]=W0 / W, A represents working power, B represents coolant temperature difference, t1 represents input temperature, t2 represents output temperature, U represents light source voltage, and I represents light source current.

[0098] Specifically, in this embodiment, the standard analysis unit calculates the standard parameters based on the preset standard concentration using a first parameter analysis formula. The first parameter analysis formula of the standard analysis unit is as follows:

[0099]

[0100] Where 'a' represents the standard parameter and 'c' represents the preset standard concentration, and 0 < c ≤ 1000. It is understood that the preset standard concentration in this embodiment is 500. This embodiment does not specifically limit the setting of the preset standard concentration; the preset standard concentration is a volume concentration, which can be freely set by those skilled in the art, as long as it satisfies the analysis of the standard parameter.

[0101] Specifically, in this embodiment, the standard analysis unit analyzes the preset standard concentration to obtain standard parameters. These standard parameters represent the relationship between various operating parameters of the ozone generator when the output requirements are met, thereby improving the system's monitoring efficiency of ozone concentration and increasing the accuracy of ozone concentration acquisition.

[0102] Specifically, in this embodiment, the power analysis unit calculates the power parameters based on standard parameters, light source voltage, light source current, and gas information using a second parameter analysis formula. The power analysis unit has the following second parameter analysis formula:

[0103] Z = U × I × (W0 - W × a) / (W × a)

[0104] Where Z represents the power parameter.

[0105] Specifically, in this embodiment, the power analysis unit analyzes the standard parameters, light source voltage, light source current, and gas information to determine the power parameters. These power parameters represent the amount of light source power that the ozone generator needs to change to ensure that the ozone output meets the standard, thereby improving the system's monitoring efficiency for ozone concentration and increasing the accuracy of ozone concentration acquisition.

[0106] Specifically, in this embodiment, the power control module controls the power of the light source according to power parameters, wherein:

[0107] When Z > 0, the power control module controls the increase of the light source power, and the change in the light source power is Z.

[0108] When Z=0, the power control module does not control the power of the light source;

[0109] When Z < 0, the power control module controls the reduction of the light source power, and the change in the light source power is Z.

[0110] Specifically, in this embodiment, the ozone pool analysis unit calculates the ozone pool volatility based on stored ozone sample data using an ozone pool temperature analysis formula. The ozone pool analysis unit has the following ozone pool temperature analysis formula:

[0111]

[0112] Where X represents the light pool volatility, Fj[5] represents the light pool temperature in the stored ozone sample data, j represents the storage number, j∈N + j max This indicates the maximum value of the storage number.

[0113] Specifically, in this embodiment, the stored ozone sample data is analyzed by the optical pool analysis unit to determine the optical pool volatility. The optical pool volatility represents the fluctuation of the optical pool temperature, and it is used to determine whether the ozone generator is stable when generating ozone, thereby improving the system's monitoring efficiency of ozone concentration and improving the accuracy of ozone concentration acquisition.

[0114] Specifically, in this embodiment, the cooling analysis unit calculates the cooling change parameters based on the stored ozone sample data using a cooling temperature analysis formula. The cooling analysis unit has the following cooling temperature analysis formula:

[0115]

[0116] Where Y represents the cooling variation parameter, Fj[2] represents the coolant temperature difference in the stored ozone sample data, and Fj[3] represents the input temperature in the stored ozone sample data.

[0117] Specifically, in this embodiment, the cooling analysis unit analyzes the stored ozone sample data to determine the cooling change parameters. These parameters represent the relationship between the photocell temperature and the input and output temperatures of the coolant, increasing the diversity of system analysis and thereby improving the system's monitoring efficiency for ozone concentration and the accuracy of ozone concentration acquisition.

[0118] Specifically, in this embodiment, the analysis and adjustment unit compares the optical pool volatility with the volatility threshold, and adjusts the power parameter analysis process based on the comparison results and cooling change parameters, wherein:

[0119] When X > x, the analysis and adjustment unit determines that the temperature fluctuation of the photocell is large, and adjusts the analysis process of the power parameters. The adjusted power parameters are Z1, and Z1 is set to Z × log T Y;

[0120] When X≤x, the analysis and adjustment unit determines that the photocell temperature is stable and does not adjust the power parameter analysis process;

[0121] Where x represents the fluctuation threshold, 1≤x≤4. It is understood that this embodiment does not impose specific limitations on the value of the fluctuation threshold, and those skilled in the art can set it freely, as long as it satisfies the adjustment of the power parameters. The optimal value of the fluctuation threshold is: x=1.5.

[0122] Specifically, in this embodiment, the analysis and adjustment unit analyzes the fluctuation rate of the photocell and the cooling change parameters to adjust the power parameters. The adjusted power parameters are related to the stability of the photocell temperature and the change of the coolant. When the photocell temperature fluctuates greatly, the power parameters are adjusted to improve the accuracy of the power parameters, thereby improving the system's monitoring efficiency of ozone generation concentration and improving the accuracy of ozone concentration acquisition.

[0123] Specifically, in this embodiment, the data extraction unit extracts ozone sample data with the same ozone concentration from the stored ozone sample data and uses it as ozone similar data, denoted as F[Cn,k][i], where Cn represents the ozone concentration in the stored ozone sample data and k is the number of the ozone similar data with the same ozone concentration. For example: The existing ozone sample data is F1[i]={10,20,9,0.2,30,1.1}, F2[i]={12,21,12,0.15,29,1.2}, F3[i]={11,20,15,0.2,30,1.3}. Compare the ozone concentration in the ozone sample data, where F1[4]=F3[4]. Extract F1[i] and F3[i] as ozone similar data, denoted as F[0.2,k][i], k={1,2}, F[0.2,1][i]={10,20,9,0.2,30,1.1}, F[0.2,2][i]={11,20,15,0.2,30,1.3}.

[0124] Specifically, in this embodiment, the data extraction unit analyzes the stored ozone sample data to extract ozone similarity data. Ozone similarity data is used to represent data that are similar or different in the system samples, increasing the diversity of the system's analyzed samples, thereby improving the system's monitoring efficiency of ozone concentration and the accuracy of ozone concentration acquisition.

[0125] Specifically, in this embodiment, the analysis and optimization unit compares the ozone concentration with the ozone concentration in similar ozone data, and optimizes the adjustment process of the power parameters based on the comparison results, wherein:

[0126] When C exists O3 When =Cn, the analysis and optimization unit optimizes the adjustment process of the power parameters, and the optimized power parameters are Z2, which is set to Z2 = Z1 × f;

[0127] When C does not exist O3 When Cn = , the analysis and optimization unit does not optimize the power parameter adjustment process;

[0128] Where f represents the optimization parameter, and f is set to (∑F[C O3 ,k][6]) / (k max ×W0 / W), k max This represents the maximum value of the number of ozone-similar data with the same ozone concentration.

[0129] Specifically, in this embodiment, the analysis and optimization unit analyzes ozone similar data to optimize the power parameter adjustment process. This optimizes the power parameters to be related to the operating parameters of the ozone generator in multiple sets of data with the same ozone concentration. This allows the influence of historical data on the analysis, increases the system's analysis accuracy, and thus improves the system's monitoring efficiency for ozone concentration and the accuracy of ozone concentration acquisition.

[0130] Please see Figure 4 As shown, this is a highly stable ozone generation monitoring device according to this embodiment, comprising:

[0131] Mercury lamp 1, used to emit ultraviolet light of a fixed wavelength;

[0132] Transparency lens 2 is used to filter out the ultraviolet light required for ozone detection and to ensure the optical path is collimated. Transparency lens 2 is connected to mercury lamp 1.

[0133] Beam splitter 3 is used to split and reflect the filtered ultraviolet light to form parallel light. Beam splitter 3 is connected to lens 2.

[0134] Optical cell 4 is used to alternately pass zero gas and sample gas, and optical cell 4 is connected to beam splitter 3;

[0135] Photometric detector 5 is used to receive ultraviolet light and detect absorbance. Photometric detector 5 is connected to light cell 4.

[0136] Flow meter 6 is used to measure the gas flow rate in ozone detection. Flow meter 6 is connected to photometric detector 5.

[0137] Air pump 7 is used to output sample gas, and air pump 7 is connected to flow meter 6;

[0138] Pressure sensor 8 is used to obtain the gas pressure in the light cell 4. Pressure sensor 8 is connected to light cell 4.

[0139] Temperature sensor 9 is used to obtain the gas temperature in the photocell. Temperature sensor 9 is connected to photocell 4.

[0140] The signal input electronic module 10 is used to transmit the gas pressure and gas temperature in the photocell to the controller (not shown in the figure). The controller is used to control the ozone generation and detection process. The signal input electronic module 10 is connected to the pressure sensor 8 and the temperature sensor 9.

[0141] Zero gas generator 11 is used to generate the zero gas required for ozone generation;

[0142] Mass flow controller 12 is used to control the input flow rate of zero gas, and mass flow controller 12 is connected to zero gas generator 11;

[0143] Zero gas transmitter 13 is used to transmit the zero gas generated by the zero gas generator. Zero gas transmitter 13 is connected to mass flow controller 12.

[0144] Ozone generator 14 is used to generate sample gas and is connected to mass flow controller 12.

[0145] Sample gas control valve 15 is used to control the flow rate of sample gas and is connected to ozone generator 14.

[0146] Zero gas control valve 16 is used to control the flow rate of zero gas. Zero gas control valve 16 is connected to zero gas transmitter 13.

[0147] The SV electric regulating valve 17 is used to regulate the flow rate of sample gas and zero gas. The SV electric regulating valve 17 is connected to the sample gas control valve 15 and the zero gas control valve 16.

[0148] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

Claims

1. A highly stable ozone generation monitoring system, characterized in that, include: The information acquisition module is used to periodically acquire photocell information, gas information, and operating information of the ozone generator during operation. The sample construction module is used to analyze ozone concentration based on photocell information and gas information, and also to construct ozone sample data based on ozone concentration and working information. The sample storage module is used to store ozone sample data; The sample analysis module is used to analyze power parameters based on ozone concentration; The adjustment and optimization module is used to analyze the photovoltaic pool volatility and cooling change parameters based on the stored ozone sample data, and to adjust the power parameter analysis process based on the photovoltaic pool volatility and cooling change parameters. It is also used to extract ozone similar data based on the stored ozone sample data, and to optimize the power parameter adjustment process based on the ozone similar data. The power control module is used to control the power of the light source according to the power parameters; The concentration output module is used to output the ozone concentration. The adjustment and optimization module includes a light pool analysis unit, which calculates the light pool volatility based on stored ozone sample data using a light pool temperature analysis formula. The light pool analysis unit includes the following light pool temperature analysis formula: ； Where X represents the light pool volatility, Fj[5] represents the light pool temperature in the stored ozone sample data, j represents the storage number, j∈N + j max This indicates the maximum value of the storage number; The adjustment and optimization module also includes a cooling analysis unit, which is used to calculate cooling change parameters based on stored ozone sample data using a cooling temperature analysis formula. The cooling analysis unit includes the following cooling temperature analysis formula: ； Where Y represents the cooling change parameter, Fj[2] represents the coolant temperature difference in the stored ozone sample data, and Fj[3] represents the input temperature in the stored ozone sample data; The adjustment and optimization module also includes an analysis and adjustment unit, which compares the optical pool volatility with the volatility threshold, and adjusts the power parameter analysis process based on the comparison results and cooling change parameters, wherein: When X > x, the analysis and adjustment unit determines that the temperature fluctuation of the photocell is large, and adjusts the analysis process of the power parameters. The adjusted power parameters are Z1, and Z1 is set as Z × log T Y; When X≤x, the analysis and adjustment unit determines that the photocell temperature is stable and does not adjust the power parameter analysis process; Where x represents the fluctuation threshold, 1≤x≤4, Z represents the power parameter, and T represents the photocell temperature.

2. The high-stability ozone generation monitoring system according to claim 1, characterized in that, The sample construction module calculates the ozone concentration using a concentration analysis formula based on the light pool length, light pool temperature, light pool pressure, zero-energy light intensity, and sample gas light intensity. The concentration analysis formula provided by the sample construction module is as follows: ； Among them, C O3 The values ​​represent ozone concentration, K represents absorption coefficient, L represents photocell length, T represents photocell temperature, P represents photocell pressure, W0 represents zero gas light intensity, and W represents sample gas light intensity. The sample construction module constructs ozone sample data based on ozone concentration, light source voltage, light source current, and coolant temperature. The ozone sample data is a one-dimensional array, and the sample construction module has the following ozone sample data structure: F[i]={A,B,t1,C O3 ,T,W0 / W}; A = U × I; B = t2 - t1; Where F[i] represents ozone sample data, i represents array number, i={1,2,3,4,5,6}, F[1]=A, F[2]=B, F[3]=t1, F[4]=C O3 ,F[5]=T,F[6]=W0 / W,A represents the working power,B represents the coolant temperature difference,t1 represents the input temperature,t2 represents the output temperature,U represents the light source voltage,I represents the light source current.

3. The high-stability ozone generation monitoring system according to claim 2, characterized in that, The sample analysis module includes a standard analysis unit, which is used to calculate the standard parameters based on the preset standard concentration using a first parameter analysis formula. The first parameter analysis formula of the standard analysis unit is as follows: ； Where a represents the standard parameter and c represents the preset standard concentration.

4. The high-stability ozone generation monitoring system according to claim 3, characterized in that, The sample analysis module also includes a power analysis unit, which is used to calculate the power parameters based on standard parameters, light source voltage, light source current, and gas information using a second parameter analysis formula. The power analysis unit has the following second parameter analysis formula: Z = U × I × (W0 - W × a) / (W × a); Where Z represents the power parameter.

5. The high-stability ozone generation monitoring system according to claim 4, characterized in that, The power control module controls the power of the light source according to power parameters, wherein: When Z > 0, the power control module controls the increase of the light source power, and the change in the light source power is Z. When Z=0, the power control module does not control the power of the light source; When Z < 0, the power control module controls the reduction of the light source power, and the change in the light source power is Z.

6. The high-stability ozone generation monitoring system according to claim 1, characterized in that, The adjustment and optimization module is further equipped with a data extraction unit, which is used to extract ozone sample data with the same ozone concentration from the stored ozone sample data and use them as ozone similar data, denoted as F[Cn,k][i], where Cn represents the ozone concentration in the stored ozone sample data and k is the number of the ozone similar data with the same ozone concentration. The adjustment and optimization module also includes an analysis and optimization unit, which compares the ozone concentration with ozone concentrations in similar ozone data and optimizes the power parameter adjustment process based on the comparison results, wherein: When C exists O3 When =Cn, the analysis and optimization unit optimizes the adjustment process of the power parameters, and the optimized power parameters are Z2, which is set to Z2 = Z1 × f; When C does not exist O3 When =Cn, the analysis and optimization unit does not optimize the power parameter adjustment process; Where f represents the optimization parameter, and is set as f = (∑F[C O3 ,k][6]) / (k max ×W0 / W), k max This represents the maximum value of the ozone similarity data with the same ozone concentration. W0 represents the zero gas light intensity, and W represents the sample gas light intensity.

7. A high-stability ozone generation monitoring device, applied to the high-stability ozone generation monitoring system as described in claims 1-6, comprising: Mercury lamps are used to emit ultraviolet light of a fixed wavelength; The fluoroscope is used to filter out the ultraviolet light required for ozone detection and to ensure that the optical path is collimated. The fluoroscope is connected to the mercury lamp. A beam splitter is used to split and reflect the filtered ultraviolet light to form parallel light. The beam splitter is connected to the lens. The light cell is used to alternately pass zero gas and sample gas; the light cell is connected to the beam splitter. A photometric detector is used to receive ultraviolet light and detect absorbance; the photometric detector is connected to the photocell. A flow meter is used to measure the gas flow rate in ozone detection. The flow meter is connected to a photometric detector. An air pump is used to output sample gas; the air pump is connected to a flow meter. A pressure sensor is used to obtain the gas pressure inside the light cell; the pressure sensor is connected to the light cell. A temperature sensor is used to obtain the gas temperature inside the light cell; the temperature sensor is connected to the light cell. The signal input electronic module is used to transmit the gas pressure and gas temperature in the photocell to the controller, which is used to control the ozone generation and detection process. The signal input electronic module is connected to the pressure sensor and the temperature sensor. Zero gas generator, used to generate the zero gas required for ozone generation; A mass flow controller is used to control the input flow rate of zero gas. The mass flow controller is connected to the zero gas generator. Zero gas transmitter, used to transmit zero gas generated by the zero gas generator, is connected to the mass flow controller; An ozone generator is used to produce sample gas. The ozone generator is connected to a mass flow controller. The sample gas control valve is used to control the flow rate of the sample gas and is connected to the ozone generator. Zero gas control valve is used to control the flow rate of zero gas. The zero gas control valve is connected to the zero gas transmitter. The SV electric regulating valve is used to regulate the flow rate of sample gas and zero gas. The SV electric regulating valve is connected to the sample gas control valve and the zero gas control valve.

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