A method for detecting performance of an ultraviolet sterilizer and related device
Patent Information
- Application Number
- CN202311643000.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-12-01
- Publication Date
- 2026-10-27
- Estimated Expiration
- 2043-12-01
AI Technical Summary
根据国家饮用水标准,经过紫外线消毒器的出水辐射剂量需高于40mJ/cm2,达到杀菌效果、细菌、病毒灭活率高于99.99%;然而,紫外线消毒器的性能检测一直是一个挑战
[0043]与现有技术相比,本发明的有益效果至少包括:通过预测紫外线消毒器在不同条件下的效果,可以在进行生物实验之前对消毒水质量进行预测。这可以帮助筛选出合格的样品,降低不合格样品的出现,提高生物实验检验合格率。传统的生物实验验证方法需要大量的时间、人力和资源投入。而本申请的方法可以通过先进行仿真分析,减少实验测试的次数和样品数量,从而降低了经济成本和资源的浪费。传统的生物实验验证方法需要使用大肠杆菌等生物指标,涉及到药剂的使用和菌群的培养,容易造成对环境的污染。而本申请的方法基于光强和流体模拟,无需进行实验过程中的生物培养,从而减少了对环境的污染。本申请的方法可以为紫外线消毒器的设计和优化提供重要的参考依据。将光强分布仿真和腔体内流体仿真先分开计算,然后预设算法计算得出满足要求的结果;有效的起到了对紫外线消毒后的水在进行大肠杆菌等检验前的预测,提升生物实验检验合格率,降低了经济成本和环保的目的。通过光学仿真和流-固耦合仿真分析,可以得到紫外线光强分布和最快流速的激流束,从而为紫外线消毒器的设计和性能优化提供指导。综上所述,本申请的紫外线消毒器性能检测方法能够提高生物实验检验合格率,降低经济成本和资源浪费,减少环境污染,并为紫外线消毒器的设计和优化提供参考依据,具有重要的应用价值。
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Figure CN117669194B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of ultraviolet sterilizer technology, and in particular to a method and related apparatus for testing the performance of ultraviolet sterilizers. Background Technology
[0002] Ultraviolet (UV) sterilizers are widely used in various water treatment processes. For a UV sterilizer to achieve excellent sterilization results, it should possess: a highly efficient radiation source, uniform radiation distribution, and sufficient radiation contact. According to national drinking water standards, the radiation dose of water passing through a UV sterilizer must be higher than 40 mJ / cm². 2 While achieving sterilization effects with bacterial and viral inactivation rates exceeding 99.99%, performance testing of UV sterilizers remains a challenge. Currently, performance indicators for UV sterilizers are primarily verified through biological experiments using organisms such as E. coli, but the compliance rate is relatively low. Substandard biological experiments undoubtedly waste economic costs and resources, and the chemicals and bacteria used can pollute the environment. Furthermore, there is no commercially available software that can incorporate UV light intensity distribution data into fluid models. Therefore, predicting the effectiveness of UV sterilization through light intensity and fluid simulation is a problem that needs to be solved.
[0003] Based on the above problems, this application proposes a new approach to solve the optical-solid-fluid coupling problem in ultraviolet cavities. This approach involves calculating the light intensity distribution simulation and the fluid simulation within the cavity separately, and then using a preset algorithm to calculate the results that meet the requirements. This effectively helps to predict the performance of water after ultraviolet disinfection before testing for E. coli and other bacteria, thereby improving the pass rate of biological experiments, reducing economic costs, and achieving environmental protection goals. Summary of the Invention
[0004] The purpose of this invention is to provide a method and related device for testing the performance of an ultraviolet sterilizer, which is used to calculate the light intensity distribution simulation and the fluid simulation in the cavity separately, and then calculate the result that meets the requirements using a preset algorithm; it effectively predicts the performance of water after ultraviolet sterilization before testing for E. coli and other bacteria, improves the pass rate of biological experiments, and reduces economic costs and achieves environmental protection goals.
[0005] The objective of this invention is achieved through the following technical solution:
[0006] Firstly, this application proposes a method for testing the performance of an ultraviolet sterilizer, the method comprising:
[0007] S1. Using the first simulation system, optical simulation is performed on the ultraviolet light inside the ultraviolet sterilizer cavity to obtain the ultraviolet light intensity distribution inside the cavity.
[0008] S2. Using the second simulation system, perform fluid-structure interaction simulation analysis on the fluid inside the ultraviolet sterilizer cavity to obtain the turbulent jet with the fastest flow rate;
[0009] S3. Introduce the data on ultraviolet light intensity distribution into the fluid-structure interaction simulation analysis model; obtain the minimum radiation dose of the water effluent after passing through the ultraviolet sterilizer through a preset algorithm;
[0010] S4. Compare the lowest radiation dose in the discharged water with the standard dose, and proceed with the next step based on the comparison results.
[0011] Preferably, in the method for testing the performance of an ultraviolet sterilizer, step S1 includes:
[0012] The light intensity distribution inside the ultraviolet sterilizer cavity is simulated using simulation software to obtain simulation results. The minimum light intensity value inside the cavity is then obtained based on the simulation results.
[0013] Compare the minimum light intensity value with the theoretical value;
[0014] If the minimum light intensity value does not match the theoretical value, the model should be adjusted and the simulation repeated.
[0015] If the minimum light intensity value matches the theoretical value, then the minimum light intensity value will be used as the initial value for the optical transient simulation.
[0016] Preferably, in the method for testing the performance of an ultraviolet sterilizer according to claim 1, step S2 includes:
[0017] Obtain the inlet flow rate of the ultraviolet sterilizer cavity;
[0018] The inlet flow velocity is:
[0019]
[0020] Where v1 is the inlet velocity; Q is the inlet flow rate; and S is the inlet flange cross-sectional area.
[0021] The inlet flow velocity is used as the input of the second simulation system, and the fastest flow velocity jet is obtained through CFD fluid-structure interaction simulation analysis.
[0022] The fastest flow velocity of the jet was compared with the theoretical value;
[0023] If the fastest velocity of the torrent jet does not match the theoretical value, adjust the model and resimulate.
[0024] If the fastest velocity of the torrent jet matches the theoretical value, the velocity value of the torrent jet with the fastest velocity is used as the initial value of the fluid-structure transient simulation parameters.
[0025] Preferably, in the method for testing the performance of an ultraviolet sterilizer, step S3 includes:
[0026] The data on ultraviolet light intensity distribution were incorporated into the fluid-structure interaction simulation analysis model;
[0027] By calculating the light-dependent path of the fluid, the transient coupling simulation parameters of light-solid-fluid are obtained. These parameters represent the minimum radiation dose of the effluent after passing through the ultraviolet sterilizer.
[0028] Preferably, in the method for testing the performance of an ultraviolet sterilizer, the step of calculating the fluid path photoperiod includes:
[0029] Obtain the jet radiation contact time;
[0030] The lowest radiation dose in the effluent is obtained based on the jet radiation contact time and the minimum light intensity value obtained through the first simulation system.
[0031] Preferably, in the method for testing the performance of an ultraviolet sterilizer, the jet radiation contact time is:
[0032]
[0033] Where t is the contact time of the jet radiation; L is the length of the ultraviolet sterilizer lamp; V max This corresponds to the fastest flow rate within the ultraviolet sterilizer cavity, i.e., the speed of the turbulent flow.
[0034] Preferably, in the method for testing the performance of the ultraviolet sterilizer, the minimum radiation dose to the effluent is:
[0035] D1 = I min ×t×F t ×F w ×F p ÷10
[0036] Where D1 is the minimum calculated radiation dose to the effluent; t is the contact time of the jet radiation; and I min F represents the minimum light intensity value inside the cavity obtained through simulation. t F represents the ultraviolet transmittance of the quartz sleeve. w F represents the transmittance of ultraviolet light in water. p This represents the aging coefficient of the ultraviolet lamp.
[0037] Preferably, in the method for testing the performance of an ultraviolet sterilizer, step S4 includes:
[0038] Compare the lowest radiation dose D1 of the effluent with the standard dose D e Compare;
[0039] If D1 > D eIf the disinfection effect of the sterilizer meets the standard, the disinfected water can be used directly for biological experiments.
[0040] If D1 <D e Then, check and reset the UV sterilizer settings.
[0041] On the other hand, this application proposes a performance testing device for an ultraviolet sterilizer, the device including a memory and at least one processor, the memory storing a computer program, the at least one processor being configured to execute the computer program to implement the steps of a method for testing the performance of an ultraviolet sterilizer.
[0042] This application also proposes a computer-readable storage medium that stores computer instructions, which, when read by a computer, execute the method for testing the performance of an ultraviolet sterilizer.
[0043] Compared with existing technologies, the beneficial effects of this invention include at least the following: by predicting the effect of ultraviolet sterilizers under different conditions, the quality of disinfected water can be predicted before biological experiments. This helps to screen qualified samples, reduce the occurrence of unqualified samples, and improve the pass rate of biological experiments. Traditional biological experiment verification methods require a large investment of time, manpower, and resources. The method of this application, however, can reduce the number of experimental tests and samples by performing simulation analysis first, thereby reducing economic costs and resource waste. Traditional biological experiment verification methods require the use of biological indicators such as E. coli, involving the use of reagents and the cultivation of bacterial communities, which can easily cause environmental pollution. The method of this application, based on light intensity and fluid simulation, eliminates the need for biological cultivation during the experimental process, thus reducing environmental pollution. The method of this application can provide important reference for the design and optimization of ultraviolet sterilizers. By calculating the light intensity distribution simulation and the fluid simulation within the cavity separately, and then using a preset algorithm to calculate the results that meet the requirements, it effectively predicts the quality of water after ultraviolet disinfection before testing for E. coli, improving the pass rate of biological experiments, reducing economic costs, and achieving environmental protection goals. Through optical simulation and fluid-structure interaction simulation analysis, the ultraviolet light intensity distribution and the turbulent jet with the fastest flow velocity can be obtained, thus providing guidance for the design and performance optimization of ultraviolet sterilizers. In summary, the ultraviolet sterilizer performance testing method of this application can improve the pass rate of biological experiments, reduce economic costs and resource waste, reduce environmental pollution, and provide a reference for the design and optimization of ultraviolet sterilizers, thus having significant application value. Attached Figure Description
[0044] Figure 1 This is a schematic diagram of a method for testing the performance of an ultraviolet sterilizer according to an embodiment of the present invention;
[0045] Figure 2This is a simulation diagram of the ultraviolet light intensity distribution inside the cavity according to an embodiment of the present invention;
[0046] Figure 3 This is a schematic diagram of fluid-structure interaction simulation analysis according to an embodiment of the present invention;
[0047] Figure 4 This is a schematic diagram of the performance testing process for an ultraviolet sterilizer according to an embodiment of the present invention. Detailed Implementation
[0048] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the embodiments set forth herein; rather, they are provided to make the invention more comprehensive and complete, and to fully convey the concept of the exemplary embodiments to those skilled in the art. The same reference numerals in the drawings denote the same or similar structures, and therefore repeated descriptions of them will be omitted.
[0049] The terms used to express position and direction in this invention are illustrated with reference to the accompanying drawings, but changes can be made as needed, and all such changes are included within the scope of protection of this invention.
[0050] Before proceeding with this embodiment, we will first introduce ultraviolet light and some basic software, as follows:
[0051] Ultraviolet light refers to electromagnetic waves with wavelengths between 100 and 400 nm. Ultraviolet light is invisible. Depending on the wavelength, it can be further divided into ultraviolet A (315-400 nm), ultraviolet B (280-315 nm), ultraviolet C (200-280 nm), and ultraviolet D (100-200 nm). Water disinfection uses ultraviolet C in the wavelength range. According to research [4], biological DNA has the highest absorption rate at a wavelength of about 254 nm. In this embodiment, we take a UV sterilizer with a 254 nm UVC lamp tube as an example for analysis.
[0052] Tracepro is a widely used ray simulation software for lighting systems, optical analysis, radiometric analysis, and photometric analysis. It was the first optical software based on the ACIS solid modeling kernel. It was also the first optical simulation software to combine a realistic solid model, powerful optical analysis capabilities, and strong data conversion abilities. This study uses Tracepro to simulate the light intensity distribution within the cavity of an ultraviolet sterilizer, analyzing the simulation results to find the minimum light intensity value.
[0053] Computational fluid dynamics (CFD) uses computer simulations to obtain information about a fluid under specific conditions, enabling "computational experiments" to be performed using computers instead of experimental devices. It provides engineers with an operational platform for simulating actual working conditions. Belonging to multiphysics system analysis, it aims to simulate fluid flow characteristics and their thermodynamic properties using numerical models. This study uses ANSYS FLUENT software to simulate the fluid within a UV sterilizer cavity, aiming to identify the fastest-flowing jet by analyzing the velocity distribution within the cavity.
[0054] Reference Figure 1 This application provides an embodiment of a method for testing the performance of an ultraviolet sterilizer, the method comprising:
[0055] S1. Using the first simulation system, optical simulation is performed on the ultraviolet light inside the ultraviolet sterilizer cavity to obtain the ultraviolet light intensity distribution inside the cavity.
[0056] S2. Using the second simulation system, perform fluid-structure interaction simulation analysis on the fluid inside the ultraviolet sterilizer cavity to obtain the turbulent jet with the fastest flow rate;
[0057] S3. Introduce the data on ultraviolet light intensity distribution into the fluid-structure interaction simulation analysis model; obtain the minimum radiation dose of the water effluent after passing through the ultraviolet sterilizer through a preset algorithm;
[0058] S4. Compare the lowest radiation dose in the discharged water with the standard dose, and proceed with the next step based on the comparison results.
[0059] The working principle of the above technical solution is as follows: The performance of the ultraviolet (UV) sterilizer is tested using two simulation systems, namely the first simulation system and the second simulation system. The first simulation system performs optical simulation of the UV light within the sterilizer cavity to obtain the UV light intensity distribution within the cavity. This step obtains the spatial distribution of UV light intensity by simulating the propagation path and attenuation of light within the sterilizer cavity. The second simulation system performs fluid-structure interaction (FSI) simulation analysis of the fluid within the UV sterilizer cavity to obtain the fastest flow velocity jet. This step obtains the velocity and pressure distribution of the fluid (such as water) within the sterilizer cavity by simulating the flow of fluid within the sterilizer cavity. Next, the UV light intensity distribution data is introduced into the FSI simulation analysis model, and the minimum radiation dose of the water exiting the UV sterilizer is obtained through a preset algorithm. This step considers the influence of the flow field on UV radiation, combining fluid and light intensity information to obtain a more accurate prediction of the water radiation dose. Finally, the minimum water radiation dose is compared with the standard dose, and the next step is taken based on the comparison results. This step determines whether the sterilizer's performance meets the standards, providing a basis for maintenance or equipment replacement.
[0060] This application's method improves the accuracy and efficiency of UV sterilizer performance testing by combining light intensity distribution simulation and fluid simulation. It avoids the waste and environmental pollution problems of traditional biological experimental methods, enables effective prediction of UV sterilization effects, effectively improves the pass rate of biological experimental testing, and reduces economic costs and environmental pressure. Furthermore, this method can also provide important reference for the design and optimization of UV sterilizers.
[0061] The advantages of the above technical solution are as follows: By predicting the effect of ultraviolet sterilizers under different conditions, the quality of disinfected water can be predicted before biological experiments. This helps to screen qualified samples, reduce the occurrence of unqualified samples, and improve the pass rate of biological experiments. Traditional biological experimental verification methods require a large investment of time, manpower, and resources. The method of this application, however, can reduce the number of experimental tests and samples by conducting simulation analysis first, thereby reducing economic costs and resource waste. Traditional biological experimental verification methods require the use of biological indicators such as E. coli, involving the use of reagents and the cultivation of bacterial communities, which can easily cause environmental pollution. The method of this application, based on light intensity and fluid simulation, eliminates the need for biological cultivation during the experimental process, thus reducing environmental pollution. The method of this application can provide important reference for the design and optimization of ultraviolet sterilizers. Through optical simulation and fluid-structure interaction simulation analysis, the ultraviolet light intensity distribution and the fastest flow velocity jet can be obtained, thus providing guidance for the design and performance optimization of ultraviolet sterilizers. In summary, the UV sterilizer performance testing method of this application can improve the pass rate of biological experiments, reduce economic costs and resource waste, reduce environmental pollution, and provide a reference for the design and optimization of UV sterilizers, thus having significant application value.
[0062] The embodiment of this application describes a method for testing the performance of an ultraviolet sterilizer. This method uses simulation software to simulate the light intensity distribution within the sterilizer's cavity, obtains simulation results, and then determines the minimum light intensity value within the cavity based on these results. The simulation software is preferably Tracepro software. (Refer to...) Figure 2 Based on the simulation of the ultraviolet light intensity distribution inside the cavity using Tracepro software, the minimum simulated light intensity inside the cavity is 340 W / m². 2 ;
[0063] Compare the minimum light intensity value with the theoretical value;
[0064] If the minimum light intensity value does not match the theoretical value, the model should be adjusted and the simulation repeated.
[0065] If the minimum light intensity value matches the theoretical value, then the minimum light intensity value will be used as the initial value for the optical transient simulation.
[0066] The working principle of the above technical solution is as follows: Tracepro software is used to simulate the light intensity distribution within the ultraviolet sterilizer cavity. This software can simulate the propagation and attenuation process of light in complex optical systems. By setting the cavity structure and light source parameters, the light intensity distribution at different locations within the cavity can be obtained. Based on the simulation results, the minimum light intensity value within the cavity is read from the light intensity distribution diagram. This value represents the lowest light intensity reached at any location within the cavity, serving as a reference indicator for the overall ultraviolet irradiation intensity within the cavity. The obtained minimum light intensity value is compared with the theoretical value. The theoretical value is typically the expected value calculated based on design parameters and a preset algorithm. If the minimum light intensity value matches the theoretical value, it indicates that the light intensity distribution of the ultraviolet sterilizer meets the requirements, and the next step of fluid simulation analysis can proceed. If the minimum light intensity value does not match the theoretical value, it indicates that there may be a problem with the current model design or parameter settings. In this case, the model needs to be adjusted, such as changing the cavity structure or adjusting the light source parameters, and then the simulation analysis should be repeated until the minimum light intensity value matches the theoretical value. When the minimum light intensity value matches the theoretical value, the minimum light intensity value is used as the initial value for the optical transient simulation. Optical transient simulation can simulate the changes in light intensity of the ultraviolet sterilizer over different time periods, thereby further evaluating the performance and effectiveness of the ultraviolet sterilizer.
[0067] Through the above steps, the UV sterilizer performance testing method of this application can achieve performance evaluation and optimization of the UV sterilizer by comparing light intensity distribution simulation and theoretical values, ensuring that the light intensity during the sterilization process meets the expected requirements.
[0068] The effects of the above technical solution are as follows: By simulating the light intensity distribution within the UV sterilizer cavity using simulation software, the distribution of light intensity can be accurately assessed. The minimum light intensity value is a crucial indicator for evaluating light intensity and directly reflects the performance of the UV sterilizer. By comparing the simulation results with theoretical values, design or parameter setting issues of the UV sterilizer can be identified promptly. If the minimum light intensity value does not match the theoretical value, the model can be adjusted and re-simulated to optimize the UV sterilizer design, increase the UV irradiation intensity, and thus improve the sterilization effect. Accurate assessment of light intensity can prevent over- or under-irradiation, optimizing resource utilization. A reasonable light intensity distribution can minimize light source energy consumption while meeting sterilization requirements, improving the energy efficiency ratio of the UV sterilizer. Determining the initial values through optical transient simulation allows for simulating changes in light intensity over different time periods. This helps assess the operational stability and safety of the UV sterilizer, ensuring that it does not generate excessively high or low light intensities during actual operation, thereby protecting user safety.
[0069] In summary, the UV sterilizer performance testing method of this application uses simulation software to simulate the light intensity distribution, compare it with theoretical values and make optimization adjustments, and determines the initial values of optical transient simulation. This method can effectively evaluate the performance of UV sterilizers, improve sterilization effect, optimize resource utilization, and ensure safety.
[0070] The embodiment of the ultraviolet sterilizer performance testing method of this application, wherein step S2 includes:
[0071] Obtain the inlet flow rate of the ultraviolet sterilizer cavity;
[0072] The inlet flow velocity is:
[0073]
[0074] Where v1 is the inlet velocity (m / s); Q is the inlet flow rate (T / h); and S is the cross-sectional area of the inlet flange (m²). 2 );
[0075] Using the inlet flow velocity as input to the second simulation system, the fastest flow velocity jet is obtained through CFD fluid-structure interaction simulation analysis; (Refer to...) Figure 3 The ultraviolet sterilizer in this embodiment was analyzed using fluid-structure interaction (FSI) simulation with ANSYS FLUENT software. Specifically, a model was created using SolidWorks based on CAD drawings, converted to SpaceClaim geometry file format via ANSYS Workbench, the fluid volume within the cavity was extracted, a mesh was generated, and the solution was obtained from the Fluent simulation. Post-processing was then performed to obtain the simulation results of the required fluid velocity within the cavity. Through CFD fluid simulation calculations on the selected ultraviolet sterilizer model, it was observed that a turbulent flow is generated at the bottom of the cavity. The direction of this flow is: closely adhering to the bottom surface of the cavity, rising in a ring towards the outlet. This turbulent flow has the fastest velocity, meaning it has the shortest contact time with the ultraviolet lamp, and is therefore the fluid stream least likely to achieve a sterilization effect. Next, fluid tracing was used to find that the average velocity of this turbulent flow within the cavity is 1 m / s, which is the fastest velocity v within the cavity. max .
[0076] The fastest flow velocity of the jet was compared with the theoretical value;
[0077] If the fastest velocity of the torrent jet does not match the theoretical value, adjust the model and resimulate.
[0078] If the fastest velocity of the torrent jet matches the theoretical value, the velocity value of the torrent jet with the fastest velocity is used as the initial value of the fluid-structure transient simulation parameters.
[0079] The working principle of the above technical solution is as follows: First, the inlet velocity of the UV sterilizer cavity is obtained. This parameter can be calculated by measuring the inlet flow rate and the cross-sectional area of the inlet flange. The inlet velocity is the input parameter of the second simulation system. Based on the obtained inlet velocity, the flow field distribution inside the UV sterilizer is simulated and calculated through CFD fluid-structure interaction simulation analysis. This simulation analysis can obtain the fastest flow velocity of the turbulent jet. The fastest flow velocity of the obtained turbulent jet is compared with the theoretical value. If it does not match, the model needs to be adjusted and the simulation analysis needs to be repeated until the result that matches the theoretical value is finally obtained. The fastest flow velocity of the turbulent jet that finally matches the theoretical value is used as the initial value of the fluid-structure transient simulation parameters. Fluid-structure transient simulation can simulate the changes in the flow field inside the UV sterilizer, thereby evaluating the performance and flow characteristics of the UV sterilizer.
[0080] In summary, in the UV sterilizer performance testing method of the embodiments of this application, part S2 obtains the inlet flow velocity, performs CFD fluid-structure interaction simulation analysis, compares the theoretical values and adjusts the model, and finally determines the initial values of the fluid-structure transient simulation parameters. This achieves accurate simulation and analysis of the internal flow field of the UV sterilizer, thereby improving the performance and flow characteristics of the UV sterilizer.
[0081] The above technical solution achieves the following results: By measuring the inlet flow rate and the cross-sectional area of the inlet flange, the inlet velocity can be calculated. This velocity value is a crucial parameter for the water flow within the UV sterilizer cavity, exhibiting high accuracy and reliability. Using the inlet velocity as input to the second simulation system, combined with CFD fluid-structure interaction simulation analysis, the fastest-flowing jet can be obtained. By comparing this with theoretical values, the accuracy of the model can be evaluated. If it does not meet expectations, adjustments and corrections can be made, and the simulation analysis can be repeated to improve the model's precision and reliability. The velocity value of the fastest-flowing jet serves as the initial value for the fluid-structure transient simulation parameters, helping to more accurately evaluate the UV sterilizer's performance. Through simulation analysis, key parameters such as the jet velocity distribution and UV radiation dose distribution can be predicted, thereby optimizing and improving the sterilization effect and energy consumption of the UV sterilizer.
[0082] In summary, the implementation method of section S2 can improve the accuracy and reliability of UV sterilizer performance testing, help optimize model simulation and evaluate the performance of UV sterilizers, and provide a scientific basis for the design and improvement of UV sterilizers.
[0083] The method for testing the performance of an ultraviolet sterilizer according to an embodiment of this application, wherein step S3 includes:
[0084] The data on ultraviolet light intensity distribution is incorporated into the fluid-structure interaction simulation analysis model; the model input includes initial values for optical transient simulation and initial values for fluid-structure interaction transient simulation parameters;
[0085] By calculating the light-dependent path of the fluid, the transient coupling simulation parameters of light-solid-fluid are obtained. These parameters represent the minimum radiation dose of the effluent after passing through the ultraviolet sterilizer.
[0086] The steps for calculating the optical path attachment include:
[0087] Obtain the jet radiation contact time;
[0088]
[0089] Where t is the contact time of the jet radiation (s); L is the length of the ultraviolet sterilizer lamp (m); V max The corresponding fastest flow velocity in the ultraviolet sterilizer cavity, i.e. the velocity of the turbulent flow (m / s);
[0090] The lowest radiation dose to the effluent is obtained based on the jet radiation contact time and the minimum light intensity value obtained through the first simulation system.
[0091] D1 = I min ×t×F t ×F w ×F p ÷10
[0092] Wherein, D1 is the lowest calculated radiation dose to the effluent (mJ / cm). 2 ); t is the contact time of the jet radiation, I min To simulate the minimum light intensity value (W / m²) inside the cavity using Tracepro 2 );F t The ultraviolet transmittance of the quartz sleeve is preferably 0.9; F w The transmittance of ultraviolet light in water is preferably 0.95; F p The aging coefficient of the ultraviolet lamp is preferably 0.8.
[0093] The working principle of the above technical solution is as follows: Ultraviolet light intensity distribution data is imported into the fluid-structure interaction (FSI) simulation analysis model as input parameters. This data describes the light intensity distribution inside the UV sterilizer. In the FSI simulation analysis model, it is necessary to determine the initial values for both the optical transient simulation and the FSI transient simulation parameters. These parameters will affect the accuracy and reliability of the simulation results. Through fluid path illumination calculation, the optical-solid-fluid transient coupling simulation parameters can be obtained, among which the most important parameter is the minimum radiation dose of the effluent water after passing through the UV sterilizer. The steps of fluid path illumination calculation include the following aspects:
[0094] a. Obtaining the jet radiation contact time: according to the formula t=L / V max Where t represents the contact time of the jet radiation (in seconds), L represents the length of the ultraviolet sterilizer lamp (in meters), and V... max The corresponding fastest flow velocity within the ultraviolet sterilizer cavity, i.e., the velocity of the turbulent flow (unit: meters per second).
[0095] b. Calculate the minimum radiation dose to the water: according to the formula D1=t*I min *F t *F w *F p D1 represents the minimum calculated radiation dose to the effluent (in mJ / cm²). 2 ), t represents the contact time of the jet radiation, I min This represents the minimum light intensity value inside the cavity obtained through Tracepro simulation (unit: W / m²). 2 ), F t The ultraviolet transmittance of the quartz sleeve (preferably 0.9), F w The transmittance of ultraviolet light in water (preferably 0.95), F p This indicates the aging coefficient of the ultraviolet lamp (preferably 0.8).
[0096] By following the steps above, the minimum radiation dose of the water exiting the UV sterilizer can be calculated. This parameter is used to evaluate the performance of the UV sterilizer. The entire S3 section operates on the principle of combining optical simulation and fluid dynamics simulation to achieve accurate evaluation and optimization of the UV sterilizer's performance.
[0097] The effects of the above technical solution are as follows: By incorporating ultraviolet light intensity distribution data into the simulation model, the propagation and attenuation process of ultraviolet light within the sterilizer can be simulated more accurately. The calculated minimum radiation dose in the effluent reflects the sterilization effect of the sterilizer to a certain extent. This allows for a more accurate evaluation of the performance of the ultraviolet sterilizer, providing a scientific basis for improvement and optimization. Inputting initial values for optical transient simulation and fluid-solid transient simulation parameters allows the model to comprehensively consider the coupling effects of optical and fluid motion characteristics. Through fluid path illumination calculations, optical-solid-fluid transient coupling simulation parameters can be obtained, further optimizing the accuracy and reliability of the simulation model. By calculating the jet radiation contact time and combining it with the minimum light intensity value within the cavity, the minimum radiation dose in the effluent can be obtained. This value can be used to evaluate the sterilization effect of the ultraviolet sterilizer and compare it with specified standards. If the radiation dose in the effluent is lower than the specified standard, it indicates that the sterilizer is performing well and can effectively kill bacteria and viruses.
[0098] In summary, the implementation method in section S3 can improve the accuracy and reliability of the performance evaluation of ultraviolet sterilizers. It takes into account the coupling effect of optical characteristics and fluid motion characteristics, and evaluates and optimizes the sterilization effect of ultraviolet sterilizers by calculating the minimum radiation dose to water.
[0099] The method for testing the performance of an ultraviolet sterilizer according to an embodiment of this application, wherein step S4 includes:
[0100] Compare the lowest radiation dose of the effluent with the standard dose D e Compare;
[0101] If D1 > D e If the disinfection effect of the sterilizer meets the standard, the disinfected water can be used directly for biological experiments.
[0102] If D1 <D e Then, check and reset the UV sterilizer settings.
[0103] The working principle and effect of the above technical solution are as follows: Comparison of the lowest radiation dose of the effluent: Based on the lowest radiation dose of the effluent obtained in section S3 and the specified standard dose, a comparative analysis is performed. If D1 is greater than the specified standard dose, it indicates that the water treated with ultraviolet light meets the standard and can be directly used in biological experiments or other applications.
[0104] If the minimum radiation dose of the effluent is less than the specified standard dose, it indicates that the disinfected water has not met the prescribed disinfection standards and there is a risk of microbial contamination. In this case, the ultraviolet sterilizer needs to be tested and reset to ensure that its settings and performance meet the requirements in order to provide a disinfection effect that meets the standards.
[0105] In summary, the working principle of section S4 is mainly to determine the compliance of the water after ultraviolet disinfection by comparing the minimum radiation dose of the effluent with the prescribed standard dose, thereby deciding whether it can be directly used for biological experiments or other applications. This method can effectively ensure water quality safety and guarantee the normal operation of the ultraviolet sterilizer and the reliability of the disinfection effect.
[0106] This application also provides a device for testing the performance of an ultraviolet sterilizer. The device includes a memory and at least one processor. The memory stores a computer program, and the at least one processor is configured to execute the computer program to implement the steps of a method for testing the performance of an ultraviolet sterilizer.
[0107] This application also provides a computer-readable storage medium for storing a computer program. When the computer program is executed, it implements the steps of a wireless charging position visualization method for implantable medical devices according to this application. The specific implementation method is consistent with the implementation method and the technical effects achieved in the above-described embodiment of a wireless charging position visualization method for implantable medical devices, and some details will not be repeated.
[0108] In this application, a readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. The program product can take the form of any combination of one or more readable media. A readable medium can be a readable signal medium or a readable storage medium. A readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of readable storage media (a non-exhaustive list) include: an electrical connection having one or more wires, a portable disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.
[0109] Computer-readable storage media may include data signals propagated in baseband or as part of a carrier wave, carrying readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. The readable storage medium may also be any readable medium capable of sending, propagating, or transmitting a program for use by or in conjunction with an instruction execution system, apparatus, or device. The program code contained on the readable storage medium may be transmitted using any suitable medium, including but not limited to wireless, wired, optical fiber, RF, or any suitable combination thereof. Program code for performing operations of the present invention may be written in any combination of one or more programming languages, including object-oriented programming languages such as Java and C++, as well as conventional procedural programming languages such as C or similar programming languages. The program code may be executed entirely on a user computing device, partially on an associated device, as a standalone software package, partially on a user computing device and partially on a remote computing device, or entirely on a remote computing device or server. In cases involving remote computing devices, the remote computing devices can be connected to user computing devices via any type of network, including local area networks (LANs) or wide area networks (WANs), or they can be connected to external computing devices (e.g., via the Internet using an Internet service provider).
[0110] This application describes the invention from the perspectives of purpose, performance, progress, and novelty, and it meets the functional enhancement and use requirements emphasized by the Patent Law. The above description and drawings are merely preferred embodiments of this application and are not intended to limit this application. Therefore, all structures, devices, features, etc., that are similar to or identical to those of this application, i.e., all equivalent substitutions or modifications made in accordance with the scope of this patent application, shall fall within the scope of protection of this patent application.
[0111] Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of the invention without departing from the principles and spirit of the invention, and all such changes should fall within the protection scope of the claims of the present invention.
Claims
1. A method for testing the performance of an ultraviolet sterilizer, characterized in that, The method includes: S1. Using the first simulation system, perform optical simulation of the ultraviolet light inside the ultraviolet sterilizer cavity to obtain the ultraviolet light intensity distribution inside the cavity and the minimum light intensity value inside the cavity; compare the minimum light intensity value with the optical theoretical value. If they do not match, adjust the simulation model and re-simulate; if they match, determine the minimum light intensity value as the initial value of the optical transient simulation. S2. Obtain the inlet velocity of the UV sterilizer cavity as an input parameter, and perform fluid-structure interaction simulation analysis on the fluid in the UV sterilizer cavity through the second simulation system; obtain the turbulent jet with the fastest flow velocity in the cavity; compare the fastest flow velocity of the turbulent jet with the theoretical value of the fluid; if they do not match, adjust the simulation model and re-simulate; if they match, determine the fastest flow velocity as the initial value of the fluid-structure transient simulation parameter. S3. Introduce the initial values of the optical transient simulation and the initial values of the fluid-structure transient simulation parameters into the fluid-structure coupling simulation analysis model; obtain the minimum radiation dose of the water effluent after passing through the ultraviolet sterilizer by calculating the light attached to the fluid path; S4. Compare the lowest radiation dose of the effluent with the standard dose. If the lowest radiation dose of the effluent is greater than the standard dose, the UV sterilizer is deemed to have passed the simulation pre-evaluation and can proceed to the subsequent E. coli biological testing experiment. If the lowest radiation dose of the effluent is less than the standard dose, the UV sterilizer is tested and the sterilizer settings are reset. The fluid path illumination calculation includes: calculating the jet radiation contact time based on the length of the UV sterilizer lamp and the fastest flow velocity of the jet stream. The jet radiation contact time is: t= Where t is the contact time of the jet radiation; L is the length of the ultraviolet sterilizer lamp; V max This corresponds to the fastest flow rate within the ultraviolet sterilizer cavity, i.e., the speed of the turbulent flow. The minimum radiation dose to the discharged water is: = in, The minimum calculated radiation dose to the effluent; t is the contact time of the jet radiation, I min This represents the minimum light intensity value within the cavity obtained through simulation. The ultraviolet transmittance of the quartz sleeve; The transmittance of ultraviolet light in water; This represents the aging coefficient of the ultraviolet lamp.
2. The method for testing the performance of an ultraviolet sterilizer according to claim 1, characterized in that, S2 includes: Obtain the inlet flow rate of the ultraviolet sterilizer cavity; The inlet flow velocity is: V1= Where v1 is the inlet velocity; Q is the inlet flow rate; and S is the inlet flange cross-sectional area.
3. A device for testing the performance of an ultraviolet sterilizer, characterized in that, The apparatus includes a memory and at least one processor, the memory storing a computer program, and the at least one processor being configured to, when executing the computer program, implement the steps of the method as described in any one of claims 1 to 2.
4. A computer-readable storage medium storing computer instructions that, when read by a computer, execute the method as described in any one of claims 1 to 2.
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