Multi-channel and multi-environment intelligent hydrogen elimination efficiency detection system and method

Abstract

The invention discloses a multi-channel and multi-environment intelligent hydrogen elimination efficiency detection system and method, and belongs to the technical field of gas safety and catalysis. The system comprises a central control unit and an integrated visual platform, and is further provided with a multi-path gas distribution and pretreatment unit, a parallel catalytic reaction unit and an integrated detection and analysis unit. The gas source module contains at least three types of gas, the dynamic mixing pretreatment module can regulate and control temperature and humidity, the reactor array is of an independent temperature and pressure control modular structure, the central analysis instrument is adaptive to multi-gas detection, and the central control unit realizes full-flow intelligent regulation and control. According to the method, detection is completed through six steps of sample loading initialization, intelligent purging, baseline establishment, multi-channel parallel testing, data fusion calculation and comparative analysis report generation, and multi-working-condition simulation and multi-dimensional performance analysis are supported. According to the invention, multi-channel parallel testing is realized, the detection efficiency is greatly improved, complex working conditions are accurately simulated, the whole process is automatic, the data is reliable, the expansibility is high, and the method is suitable for multi-scene dehydrogenation catalyst performance evaluation.

Description

Technical Field

[0001] This invention relates to the fields of gas safety and catalysis technology, and in particular to a detection system and method for evaluating the hydrogen removal performance of catalysts. Background Technology

[0002] In scenarios such as nuclear power plant containment, hydrogen storage and transportation, and chemical production, catalytic hydrogen removal technology is often used to prevent risks caused by hydrogen accumulation. A key device for evaluating catalyst performance is the hydrogen removal detection system. Currently, most common hydrogen removal detection systems are single-channel, manual, or semi-automatic systems, which have the following shortcomings: low testing efficiency, with each experiment only targeting a single catalyst or operating condition, making rapid screening and comparative analysis difficult; insufficient operating condition simulation capabilities, with limited independent control over key parameters such as gas composition, temperature, pressure, and humidity, failing to accurately reproduce complex and changing real-world application environments; low levels of automation and intelligence, with data acquisition, process control, and result analysis relying heavily on manual operation, lacking real-time feedback and adaptive adjustment capabilities; furthermore, poor system scalability, with fixed structure and functions, making it difficult to flexibly upgrade and adjust as detection needs change (such as adding gaseous impurities or changing reactor types). Therefore, there is an urgent need for a highly integrated, automated, parallel-comparable hydrogen removal detection system capable of accurately simulating complex operating conditions. Summary of the Invention

[0003] To address the shortcomings in the aforementioned background technology, this invention proposes a multi-channel, multi-environment intelligent hydrogen elimination efficiency detection system and method. This system solves the problems of low testing efficiency and insufficient operating condition simulation capabilities of existing hydrogen elimination detection devices. It enables efficient, accurate, and automated comparative testing of multiple catalysts or the same catalyst under different operating conditions, improving the efficiency and accuracy of hydrogen elimination catalyst performance evaluation. At the same time, it has good scalability to adapt to diverse detection needs.

[0004] The technical solution of the present invention is implemented as follows: a multi-channel, multi-environment intelligent hydrogen elimination efficiency detection system, including a central control unit and a data management and visualization platform integrated in the central control unit, as well as a multi-channel gas distribution and pretreatment unit, a parallel catalytic reaction unit, and an integrated detection and analysis unit that cooperate with the central control unit;

[0005] The multi-channel gas distribution and pretreatment module includes at least two independently controllable gas source modules and a dynamic mixing pretreatment module that works in conjunction with the gas source modules. The gas source modules are equipped with mass flow controllers on their pipelines.

[0006] The parallel catalytic reaction unit includes several reactor arrays, which are connected to the outlets of the corresponding gas source modules.

[0007] The integrated monitoring and analysis unit includes a multi-port valve connected to the reactor array, and the outlet of the multi-port valve is connected to at least one central analytical instrument.

[0008] Furthermore, the gas source module is an independent gas cylinder and / or generator, and the gas type of the gas source module includes hydrogen, and the gas type of the gas source module also includes at least one of oxygen or air, inert gas and gas containing impurities.

[0009] Furthermore, the dynamic mixing pretreatment module includes a multi-channel static mixer, which is equipped with a temperature and humidity sensor and a preheating / precooling section.

[0010] Furthermore, the reactor array consists of at least two modular reactors that can be independently controlled in terms of temperature and pressure. The modular reactors are equipped with a quick-release structure containing a catalyst, and the exterior of the modular reactors is wrapped with a flexible heating film and equipped with thermocouples. Pressure sensors are installed at the inlet and outlet of the modular reactors, and the pressure sensors on multiple modular reactors are connected to a shared vacuum / back pressure control subsystem.

[0011] Furthermore, the central analytical instrument is a gas chromatograph and / or a mass spectrometer and / or a multi-component gas analyzer.

[0012] Furthermore, the central control unit integrates a PLC programmable logic controller and an industrial computer, with built-in intelligent control algorithms, enabling instruction sending, real-time data reception, and closed-loop feedback control of each module, coordinating the timing and logic of multi-channel experiments.

[0013] Furthermore, the data management and visualization platform is a customized software platform running on an industrial computer, which can be developed based on LabVIEW or Python and has built-in data calculation, analysis and report generation algorithms.

[0014] A detection method for a multi-channel, multi-environment intelligent hydrogen elimination efficiency detection system, comprising the multi-channel, multi-environment intelligent hydrogen elimination efficiency detection system, specifically including the following steps:

[0015] S1: Sample loading and system initialization. The catalyst sample to be tested is loaded into each modular reactor of the reactor array, the system pipeline connection is completed, and the experimental parameters of each channel are set through the data management and visualization platform. The experimental parameters include gas type, concentration, flow rate, reaction temperature, pressure and humidity.

[0016] S2: Intelligent purging. The central control unit sends a command to open the mass flow controller corresponding to the inert gas, and automatically purges the flow paths and reactors of each channel in the system to remove impurities from the system pipelines.

[0017] S3: Baseline establishment, switch to background gas path without hydrogen, start the central analyzer, record the baseline signal of each detector, and complete the detection baseline calibration;

[0018] S4: Multi-channel parallel testing. The central control unit starts the mass flow controllers of hydrogen and gas in each channel according to the set program. After the mixed gas is regulated by the dynamic mixing pretreatment module to adjust the temperature and humidity, it enters the corresponding reactor. After the system reaches steady state, the control multi-way valve automatically switches in a cycle to sequentially cut the gas flow from the outlet of each reactor into the central analyzer, so as to realize the sequential online analysis of the gas at the outlet of each channel. At the same time, the intelligent control algorithm of the central control unit fine-tunes the experimental parameters according to the monitoring value of the outlet hydrogen concentration, maintaining the set test conditions or executing the variable operating condition program.

[0019] S5: Data fusion and hydrogen elimination efficiency calculation. The data management and visualization platform synchronously integrates the precise component data of the central analytical instruments and the continuous process monitoring data of the synchronous data acquisition card. It automatically calculates the real-time hydrogen elimination efficiency of each channel based on the inlet hydrogen molar flow rate and the outlet hydrogen molar flow rate. The hydrogen elimination efficiency calculation formula is: η = (Cin - Cout) / Cin × 100%, where η is the hydrogen elimination efficiency, Cin is the inlet hydrogen molar flow rate, and Cout is the outlet hydrogen molar flow rate.

[0020] S6: Comparative analysis and report generation. Determine whether the preset test endpoint has been reached. If it has, the central control unit controls the system to stop the test. The data management and visualization platform performs multi-dimensional comparative analysis on the data of each channel, automatically draws comparison charts such as efficiency curves and temperature characteristic curves, and generates a test report containing experimental data of all channels, comparison charts and key conclusions with one click. If it has not been reached, return to step S4 to continue the test.

[0021] Furthermore, the online analysis in step S4 includes at least one of hydrogen, oxygen, water, CO, CO2, methane, ammonia, and nitrogen oxides; the variable operating condition program includes at least one of a programmed temperature rise reaction mode, a dynamic response mode with periodic step changes in hydrogen concentration, and an accelerated life test mode for long-term steady-state operation.

[0022] Furthermore, the process monitoring data mentioned in step S5 includes temperature, pressure, gas flow rate, real-time humidity, and hydrogen concentration sensor monitoring data for each channel.

[0023] The beneficial effects of this invention are as follows: significantly improved testing efficiency: through the design of multi-channel parallel catalytic reaction units, multiple comparisons can be achieved in one experiment, and the hydrogen elimination performance of multiple catalysts or the same catalyst under different operating conditions can be tested simultaneously. This transforms the traditional series testing into parallel synchronous testing, greatly shortening the catalyst research and development and screening cycle.

[0024] Accurate and realistic operating condition simulation: Through multi-channel gas distribution and pretreatment units, the precise ratio of hydrogen, oxygen, inert gas and impurity-containing gas is achieved. Combined with independent closed-loop control of temperature, humidity and pressure, it can highly reproduce the complex environment with impurities, variable temperature and humidity and variable pressure in actual application scenarios such as nuclear power plants and hydrogen energy storage and transportation, ensuring the consistency between experimental data and actual applications.

[0025] High degree of automation and intelligence: The central control unit realizes intelligent control of the entire experimental process, from parameter setting and intelligent purging after sample loading, to working condition adjustment and data acquisition during the test, and then to the generation of analysis reports after the test, all of which are automated, minimizing the error introduced by human operation and reducing the labor intensity of experimental personnel.

[0026] The experimental data is rigorous and reliable: the experimental conditions of all parallel channels are synchronized and controlled by the same central control unit, which completely eliminates the systematic errors caused by environmental fluctuations, instrument status or operation differences in traditional batch experiments. Furthermore, the precise control of experimental parameters ensures the repeatability of the data, making the comparison of data from different catalysts or different batches scientifically rigorous.

[0027] The system has good scalability: each unit adopts a modular design, which can be flexibly adapted to customized detection needs for gases containing special impurities and testing needs for different types of catalysts by adding gas source modules, replacing modular reactors, and upgrading central analysis instruments, thus meeting the diverse needs of cutting-edge scientific research and industrial testing.

[0028] Facilitating Catalytic Mechanism Research: The system can stably and precisely control the interactive combination of multiple variables such as temperature, impurity gas concentration, and humidity. It can systematically draw "performance contour maps" of catalysts, deeply revealing the critical conditions, poisoning mechanisms, and deactivation pathways of catalytic reactions, and promoting a paradigm shift in catalyst development from "experience-based screening" to "mechanism-guided" approaches. Attached Figure Description

[0029] To more clearly illustrate the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0030] Figure 1 This is a schematic diagram of the overall structure of the multi-channel intelligent hydrogen elimination efficiency detection system of the present invention;

[0031] Figure 2 This is a schematic diagram of the modular parallel catalytic reactor array of the present invention;

[0032] Figure 3 This is a flow path diagram of the integrated analysis unit of the multi-way valve and the central analysis instrument;

[0033] Figure 4 The flowchart is for the intelligent detection method;

[0034] Figure 5 This is a schematic diagram of the multi-channel intelligent hydrogen elimination efficiency detection system of the present invention. Detailed Implementation

[0035] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0036] like Figures 1-3 As shown in Example 1, a multi-channel, multi-environment intelligent hydrogen removal efficiency detection system includes a central control unit and a data management and visualization platform integrated within the central control unit. It also includes a multi-channel gas distribution and pretreatment unit, a parallel catalytic reaction unit, and an integrated detection and analysis unit that work in conjunction with the central control unit. The multi-channel gas distribution and pretreatment module includes at least two independently controllable gas source modules and a dynamic mixing pretreatment module that works in conjunction with the gas source modules. Each gas source module has a mass flow controller on its pipeline. Each gas source is independently configured with a mass flow controller, enabling precise proportioning of various gas components with a wide concentration adjustment range and high accuracy. The parallel catalytic reaction unit includes several reactor arrays, each connected to the outlet of a corresponding gas source module. The integrated monitoring and analysis unit includes a multi-port valve connected to the reactor array, with the outlet of each multi-port valve connected to at least one central analytical instrument. Through a flexible multi-gas source and pretreatment system, the system can highly replicate the complex real-world environment with impurities and fluctuating temperature and humidity, ensuring the authenticity of the operating condition simulation. Utilizing a multi-channel parallel reactor, it enables multiple comparisons in a single experiment, significantly improving the efficiency of catalyst screening and operating condition research. Based on a central intelligent closed-loop control, it achieves precise adaptive adjustment of multiple parameters such as temperature, concentration, and humidity, ensuring data reliability. The modular design makes the reactor easy to replace and clean, and the system can be flexibly expanded by adding channels and upgrading instruments. Simultaneously, the fully automated process from purging and testing to analysis report generation significantly reduces human error and labor intensity. This system integrates high-level simulation, efficient parallelism, precise intelligence, modularity, and high automation, providing a revolutionary platform for the research and evaluation of catalytic hydrogen removal technology.

[0037] In this embodiment, the gas source module is an independent gas cylinder, a generator, or a combination of both. The gas types in the gas source module include hydrogen, and also include at least one of oxygen or air, an inert gas, and a gas containing impurities. The inert gas is at least one of argon and nitrogen, and the gas containing impurities is a mixture containing at least one of CO, CO2, CH4, water vapor, and ammonia. Using independent gas cylinders or generators, covering multiple types of gases such as hydrogen, oxygen, inert gases, and gases containing impurities, any combination can meet the requirements for multi-component gas ratios. Each gas source pipeline is connected in series with a high-precision mass flow controller, facilitating accurate simulation of the gas environment in actual application scenarios.

[0038] In this embodiment, the dynamic mixing pretreatment module includes a multi-channel static mixer equipped with temperature and humidity sensors for real-time monitoring of the temperature and humidity parameters of the mixed gas. The multi-channel static mixer also includes a preheating / precooling section. The multi-channel static mixer is used to mix gases, facilitating accurate simulation of the gas environment in real-world application scenarios. The preheating / precooling section consists of a Peltier thermoelectric cooler combined with heating wires, enabling precise temperature and humidity adjustment of the mixed gas according to testing requirements, thus simulating complex environmental conditions.

[0039] In this embodiment, the reactor array comprises several modular reactors capable of independent temperature and pressure control. Each modular reactor contains a quick-release structure housing a catalyst. The exterior of the modular reactor is wrapped with a flexible heating membrane and equipped with thermocouples. Pressure sensors are installed at both the inlet and outlet of the modular reactors, and the pressure sensors on multiple modular reactors share a common vacuum / back pressure control subsystem. The modular reactor can be selected as a cylindrical tubular fixed-bed reactor, a plate-and-frame flow channel reactor, or a micro-fixed-bed reactor. Internally, it can encapsulate any of the catalysts to be tested, including granular beds, catalytic plates, metal mesh, and monolithic catalysts. The quick-release structure facilitates catalyst replacement and reactor cleaning. The flexible heating membrane and thermocouples work together to achieve precise temperature control of the reactor. The vacuum / back pressure control subsystem can simulate positive and negative pressure environments within the reactor, meeting the testing requirements under different pressure conditions.

[0040] In this embodiment, the central analytical instrument is any one or more of a gas chromatograph, a mass spectrometer, and a multi-component gas analyzer. The gas chromatograph can be equipped with a thermal conductivity detector, a flame ionization detector, etc., enabling high-precision quantitative analysis of multiple gas components such as hydrogen, oxygen, water, CO, and CO2, adapting to different detection precision and analyte requirements. Specifically, the multi-port valve is a multi-port switching valve capable of switching flow paths, sequentially cutting the outlet gas flow from each reactor into the central analytical instrument. The multi-port valve is preferably a ten-port valve, equipped with a purge bypass station and flow path entry stations matching the number of reactors. Each reactor outlet is also equipped with a wide-range hydrogen concentration sensor and a synchronous data acquisition card for high-speed acquisition of various signals. The synchronous data acquisition card is used to rapidly acquire raw signals of temperature, pressure, flow rate, and humidity from all channels, as well as the outlet hydrogen concentration sensor signal, and upload them to the central control unit.

[0041] In this embodiment, the central control unit integrates a PLC (Programmable Logic Controller) and an industrial computer, with built-in intelligent control algorithms. It enables instruction sending, real-time data reception, and closed-loop feedback control of each module, coordinating the timing and logic of multi-channel experiments. The PLC in the central control unit is a Siemens S7-1200 series PLC. As the control core of the entire system, the central control unit achieves intelligent regulation of the entire process, including multi-channel gas distribution, reaction conditions, and detection and analysis, ensuring the stability and consistency of the experimental process. The data management and visualization platform is a customized software platform running on an industrial computer. It can be developed based on LabVIEW or Python, and has built-in data calculation, analysis, and report generation algorithms. This enables real-time acquisition, processing, visualization, and automatic report generation of experimental data, significantly reducing manual operation costs and improving the efficiency of experimental result analysis.

[0042] like Figure 4 As shown in Example 2, a detection method for a multi-channel, multi-environment intelligent hydrogen removal efficiency detection system includes the following steps:

[0043] S1: Sample Loading and System Initialization. The catalyst sample to be tested is loaded into each modular reactor of the reactor array, and the system piping is connected. Experimental parameters for each channel are set through the data management and visualization platform. These parameters include gas type, concentration, flow rate, reaction temperature, pressure, and humidity. The quick-plug structure enables rapid catalyst loading without disassembling the piping, significantly reducing loading time. The data management and visualization platform allows for unified or differentiated setting of experimental parameters across multiple channels. The user interface is visual and convenient, offering higher efficiency and accuracy compared to traditional manual parameter adjustment. System initialization after a leak test avoids experimental data deviations caused by piping leaks, ensuring experimental reliability.

[0044] S2: Intelligent purging. The central control unit sends a command to activate the mass flow controller corresponding to the inert gas, automatically purging each channel and reactor in the system to remove impurities from the pipelines. The purging process is automatically controlled by the central control unit, requiring no manual intervention and achieving full automation. Nitrogen purging can quickly remove impurities and moisture from the pipelines, preventing side reactions between impurities and the catalyst, ensuring the purity of subsequent catalytic reactions. Compared to traditional manual purging, this method is more thorough and efficient.

[0045] S3: Baseline establishment. Switch to the background gas path (without hydrogen), start the central analyzer, record the baseline signals of each detector, and complete the detection baseline calibration. Automatic switching of the background gas path and automatic start-up of the analyzer automate baseline establishment, avoiding errors from manual operation. Real-time recording and uploading of the baseline signal provides a benchmark for subsequent component analysis of the outlet gas, eliminating the influence of signal drift from the instrument itself and improving the accuracy of gas concentration detection.

[0046] S4: Multi-channel parallel testing. The central control unit starts the mass flow controllers of hydrogen and gas mixing in each channel according to the set program. After the mixed gas is regulated by the dynamic mixing pretreatment module to adjust the temperature and humidity, it enters the corresponding reactor. After the system reaches steady state, the multi-way valve is controlled to automatically switch in a cycle, and the gas flow from the outlet of each reactor is sequentially cut into the central analyzer to realize the sequential online analysis of the outlet gas of each channel. At the same time, the experimental parameters are finely adjusted according to the monitoring value of the outlet hydrogen concentration by the intelligent control algorithm of the central control unit to maintain the set test conditions or execute the variable operating condition program. The detection objects of online analysis in step S4 include at least one of hydrogen, oxygen, water, CO, CO2, methane, ammonia, and nitrogen oxides. The variable operating condition program includes at least one of the following: programmed temperature rise reaction mode, dynamic response mode with periodic step change of hydrogen concentration, and accelerated life test mode for long-term steady-state operation. Multi-channel parallel testing enables simultaneous detection of multiple catalysts, improving testing efficiency several times over compared to traditional single-channel series testing and significantly shortening the catalyst performance evaluation cycle. The mixed gas enters the reactor after being regulated by a dynamic mixing pretreatment module, ensuring the reaction conditions closely match the actual scenario and enhancing the practicality of the experimental data. Automatic cyclic switching of the ten-way valve enables unattended switching of multi-channel flow paths, resulting in high analysis efficiency. Intelligent control algorithms fine-tune experimental parameters based on real-time hydrogen concentration data, achieving closed-loop stable control of the operating conditions and avoiding deviations caused by gas source pressure fluctuations and temperature changes. Multiple variable operating condition programs, such as programmed temperature rise, concentration step, and long-term steady-state, can be flexibly switched, enabling comprehensive catalyst performance testing and providing more complete results compared to traditional single-condition testing.

[0047] S5: Data fusion and hydrogen removal efficiency calculation. The data management and visualization platform synchronously integrates the precise component data of the central analytical instruments and the continuous process monitoring data of the synchronous data acquisition card. Based on the inlet hydrogen molar flow rate and the outlet hydrogen molar flow rate, the real-time hydrogen removal efficiency of each channel is automatically calculated. The hydrogen removal efficiency calculation formula is: η = (Cin - Cout) / Cin × 100%, where η is the hydrogen removal efficiency, Cin is the inlet hydrogen molar flow rate, and Cout is the outlet hydrogen molar flow rate. The process monitoring data mentioned in step S5 includes the temperature, pressure, gas flow rate, real-time humidity, and hydrogen concentration sensor monitoring data of each channel. The synchronous data acquisition card enables the simultaneous fusion of all detection data, avoiding calculation errors caused by differences in data acquisition time and ensuring the accuracy of hydrogen removal efficiency calculation. The process monitoring data covers all parameters such as temperature, pressure, flow rate, real-time humidity, and hydrogen concentration. Compared with traditional single data acquisition, the data dimensions are more comprehensive, providing complete operating condition support for hydrogen removal efficiency analysis. The real-time automatic calculation and curve display of hydrogen removal efficiency allow for intuitive observation of the changes in hydrogen removal performance of catalysts in each channel at different temperatures, facilitating timely monitoring of experimental progress by experimental personnel.

[0048] S6: Comparative analysis and report generation. Determine if the preset test endpoint has been reached. If reached, the central control unit stops the test. The data management and visualization platform performs multi-dimensional comparative analysis of the data from each channel, automatically plotting efficiency curves, temperature characteristic curves, and other comparative charts, and generating a test report containing all channel experimental data, comparative charts, and key conclusions with one click. If the endpoint has not been reached, return to step S4 to continue testing. Multi-dimensional comparative analysis includes at least one of the following: catalyst activity temperature window comparison, highest hydrogen removal efficiency comparison, anti-poisoning ability comparison, dynamic response time comparison, performance degradation rate comparison, and analysis of the impact of multivariate interactions on hydrogen removal efficiency.

[0049] Through a series of automated experiments, the hydrogen removal performance of four catalysts under the harsh accident environment of a simulated nuclear power plant was compared and evaluated in a parallel manner in an efficient and comprehensive manner. The experimental data were rigorous and reliable, providing a scientific basis for the selection of hydrogen removal catalysts for the containment of nuclear power plants.

[0050] Example 3

[0051] In a preferred embodiment, the system has four parallel channels. The central control unit uses a Siemens S7-1200 PLC connected to a host industrial computer. The mass flow controller has an accuracy of ±0.5% FS. The reactor operating temperature range is room temperature to 600℃, with a temperature control accuracy of ±1℃. The gas chromatograph is equipped with TCD and FID detectors for analyzing H2, O2, H2O, CO, CO2, etc. The software platform is developed based on Python and has a user-friendly graphical interface.

[0052] During operation, four different catalysts were loaded into four reactors. The same inlet conditions (2% H2, 20% O2, equilibrium gas N2, 50% RH) and temperature gradient program (starting from 100℃, with each 50℃ increment, held at this temperature for 30 minutes) were set in the software. After initiating automatic testing, the system sequentially completed purging and baseline establishment, then stabilized at each temperature step, with automatic GC cyclic sampling and analysis. After testing, the software automatically generated "temperature-hydrogen removal efficiency" comparison curves and detailed data reports for the four catalysts, clearly showing the activity temperature window and maximum efficiency of each catalyst. The practicality, flexibility, and innovative value of this invention's "Multi-channel Intelligent Hydrogen Removal Efficiency Detection System" are demonstrated from different dimensions, including application scenarios (nuclear power, hydrogen energy, R&D), testing objectives (comprehensive comparison, lifetime testing, mechanism research), and system characteristics (scalability).

[0053] Example 4

[0054] This embodiment provides a system and method for comparative testing of the comprehensive performance of hydrogen removal catalysts in nuclear power plant containment structures. The system is configured as a four-channel parallel testing structure. The gas source includes hydrogen, oxygen, high-purity nitrogen, water vapor generated by a steam generator, and a mixed gas cylinder containing trace amounts of carbon monoxide and methane, to simulate the complex atmospheric environment inside the containment after an accident. All four reactors are tubular fixed-bed reactors with an inner diameter of 10 mm, capable of being filled with granular catalyst. The central analytical instrument is a gas chromatograph equipped with a thermal conductivity detector and a flame ionization detector. The control software is preset with an "accident condition simulation" test protocol.

[0055] During testing, four candidate catalyst samples with different formulations were loaded into four reactors. The test protocol was selected in the software interface, and the system automatically set the starting temperature to room temperature. The inlet gas composition was 4% hydrogen, 20% oxygen, saturated water vapor, and 100 ppm carbon monoxide and 50 ppm methane by volume. The system back pressure was maintained at 0.12 MPa. After the test started, the system first purged all flow paths with nitrogen, then switched to the reaction gas and entered the programmed temperature ramp reaction mode, increasing the temperature from 30°C to 500°C at a rate of 5°C per minute. Throughout the heating process, the multi-port valve automatically switched flow paths according to the set cycle, and the gas chromatograph circulated and analyzed the outlet gas of each channel. The control software calculated and simultaneously plotted four independent "temperature-hydrogen removal efficiency" curves in real time, and recorded the characteristic temperature at which the efficiency of each catalyst began to decrease due to the influence of poisoning. This embodiment can efficiently and comprehensively compare and evaluate the activity, ignition temperature, and anti-poisoning ability of various catalysts under simulated harsh accident environments through a single continuous automated experiment.

[0056] Example 5

[0057] This embodiment provides a system and method for dynamic lifespan testing of hydrogen removal components in hydrogen energy storage and transportation scenarios. The system is configured with a six-channel parallel testing structure, using hydrogen and purified compressed air as the gas source. All six reactors are plate-and-frame flow channels simulating actual ventilation opening sizes, used to mount sheet-like commercial hydrogen removal components. The core of the detection unit is a multi-channel high-response electrochemical hydrogen sensor array for continuous monitoring of the outlet hydrogen concentration, supplemented by periodic calibration using a gas chromatograph. The control software integrates two testing modes: "dynamic cycle" and "long-term steady state."

[0058] During testing, three identical hydrogen removal components (two parallel samples per group) were installed in six test channels. First, a dynamic response test was conducted: the software controlled the hydrogen inlet concentration to undergo periodic step changes between 0.5% and 4% by volume. The system simultaneously recorded the outlet concentration change curves of each channel over time and automatically calculated the response time required for each component to reach a stable hydrogen removal efficiency of 90%. Next, an accelerated life test was conducted: at room temperature and pressure, a hydrogen-air mixture with 60% RH humidity and 2% hydrogen content was continuously introduced into all channels for hundreds of hours of continuous operation. The system automatically recorded the hydrogen removal efficiency changes of each channel over time and generated performance degradation curves. By comparing the slopes of the six degradation curves in parallel, the deactivation rate of the catalysts in different components could be intuitively evaluated, and their lifespans could be relatively ranked. This embodiment significantly improves the efficiency of long-term durability testing and dynamic performance evaluation.

[0059] Example 6

[0060] This embodiment provides a system and method for multivariate influence analysis in fundamental research on catalytic materials. The system is configured as a four-channel parallel testing structure, with gas sources including hydrogen, oxygen, high-purity argon, and a steam generator. All four reactors are identical micro-fixed-bed reactors, suitable for testing milligram-scale powdered catalyst samples. The system's data management and visualization platform incorporates a multi-factor experimental design module, capable of automatically generating and executing full-factor experimental protocols.

[0061] During testing, the same newly developed porous catalyst was loaded into four reactors in equal quantities. A three-factor, two-level full factorial experiment was set up using the DOE module. The three factors were reaction temperature (150℃ and 250℃), oxygen concentration (5% and 20% volume fraction), and relative humidity (dry and 80% RH). The software automatically generated an experimental matrix containing all eight combinations of conditions and intelligently scheduled the four channels to complete all tests in two rounds. In each round of testing, each channel operated under the set steady-state conditions, and the gas chromatograph analyzed the outlet gas through a multi-port valve. After all experiments were completed, the software automatically performed analysis of variance on the data and generated main effect plots and interaction effect plots to quantitatively reveal the significance of the three variables—temperature, oxygen concentration, and humidity—and their interactions on the catalyst's hydrogen removal efficiency. This embodiment combines efficient parallel testing with experimental design methodology, greatly accelerating the research on the structure-activity relationship of catalytic materials and the process optimization process.

[0062] Example 7

[0063] This embodiment aims to demonstrate the modular scalability of the system of the present invention to address customized detection needs for gases containing special impurities. Users need to evaluate the hydrogen removal performance of the catalyst in an ammonia background and monitor the byproduct nitrogen oxides. Based on the basic system, the following extensions are made: In the multi-channel gas distribution and pretreatment module, an ammonia gas source and its dedicated mass flow controller and delivery pipeline are added; in the integrated detection and analysis module, a chemiluminescence detector is added to the gas chromatograph, or an additional Fourier transform infrared spectrometer is connected specifically for high-sensitivity detection of nitrogen oxides; simultaneously, a quantitative analysis algorithm for ammonia and nitrogen oxide components is added to the software analysis platform.

[0064] The expanded system can perform customized tests. The catalyst to be tested is loaded into multiple parallel reactors, and the inlet gas is set to a mixture containing specific concentrations of hydrogen, oxygen, nitrogen, and ammonia. The system controls each channel to operate at target temperature and pressure according to a preset program. The multi-port valve works in conjunction with the gas chromatograph and chemiluminescence detector. In a single test cycle, it not only continuously monitors and calculates the hydrogen elimination efficiency of each channel but also provides ammonia conversion data and the selectivity of nitrogen oxide formation. This embodiment demonstrates that the invention can be flexibly and modularly upgraded to quickly adapt to various cutting-edge scientific research and industrial testing needs, ranging from routine performance evaluation to simulation of special complex operating conditions, reflecting the system's excellent versatility and scalability.

[0065] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A multi-channel, multi-environment intelligent hydrogen removal efficiency detection system, comprising a central control unit and a data management and visualization platform integrated within the central control unit, characterized in that, It also includes a multi-channel gas distribution and pretreatment unit that works in conjunction with the central control unit, a parallel catalytic reaction unit, and an integrated detection and analysis unit; The multi-channel gas distribution and pretreatment module includes at least two independently controllable gas source modules and a dynamic mixing pretreatment module that works in conjunction with the gas source modules. The gas source modules are equipped with mass flow controllers on their pipelines. The parallel catalytic reaction unit includes several reactor arrays, which are connected to the outlets of the corresponding gas source modules. The integrated monitoring and analysis unit includes a multi-port valve connected to the reactor array, and the outlet of the multi-port valve is connected to at least one central analytical instrument.

2. The multi-channel, multi-environment intelligent hydrogen removal efficiency detection system according to claim 1, characterized in that, The gas source module is an independent gas cylinder and / or generator. The gas type of the gas source module includes hydrogen, and the gas type of the gas source module also includes at least one of oxygen or air, inert gas, and gas containing impurities.

3. The multi-channel, multi-environment intelligent hydrogen removal efficiency detection system according to claim 1, characterized in that, The dynamic mixing pretreatment module includes a multi-channel static mixer, which is equipped with a temperature and humidity sensor and a preheating / precooling section.

4. The multi-channel, multi-environment intelligent hydrogen removal efficiency detection system according to claim 1, characterized in that, The reactor array consists of at least two modular reactors that can be independently controlled in terms of temperature and pressure. The modular reactors are equipped with a quick-release structure containing a catalyst, and the exterior of the modular reactors is wrapped with a flexible heating film and equipped with thermocouples. Pressure sensors are installed at the inlet and outlet of the modular reactors, and the pressure sensors on multiple modular reactors are connected to a shared vacuum / back pressure control subsystem.

5. The multi-channel, multi-environment intelligent hydrogen removal efficiency detection system according to claim 1, characterized in that, The central analytical instrument is a gas chromatograph and / or a mass spectrometer and / or a multi-component gas analyzer.

6. The multi-channel, multi-environment intelligent hydrogen removal efficiency detection system according to claim 1, characterized in that, The central control unit integrates a PLC programmable logic controller and an industrial computer, and has built-in intelligent control algorithms. It can realize instruction sending, real-time data reception and closed-loop feedback control of each module, and coordinate the timing and logic of multi-channel experiments.

7. The multi-channel, multi-environment intelligent hydrogen removal efficiency detection system according to claim 6, characterized in that, The data management and visualization platform is a customized software platform running on an industrial computer. It can be developed based on LabVIEW or Python and has built-in data calculation, analysis, and report generation algorithms.

8. A detection method for a multi-channel, multi-environment intelligent hydrogen removal efficiency detection system, comprising the multi-channel, multi-environment intelligent hydrogen removal efficiency detection system as described in any one of claims 1 to 7, specifically comprising the following steps: S1: Sample loading and system initialization. The catalyst sample to be tested is loaded into each modular reactor of the reactor array, the system pipeline connection is completed, and the experimental parameters of each channel are set through the data management and visualization platform. The experimental parameters include gas type, concentration, flow rate, reaction temperature, pressure and humidity. S2: Intelligent purging. The central control unit sends a command to open the mass flow controller corresponding to the inert gas, and automatically purges the flow paths and reactors of each channel in the system to remove impurities from the system pipelines. S3: Baseline establishment, switch to background gas path without hydrogen, start the central analyzer, record the baseline signal of each detector, and complete the detection baseline calibration; S4: Multi-channel parallel testing. The central control unit starts the mass flow controllers of hydrogen and gas in each channel according to the set program. After the mixed gas is regulated by the dynamic mixing pretreatment module to adjust the temperature and humidity, it enters the corresponding reactor. After the system reaches steady state, the control multi-way valve automatically switches in a cycle to sequentially cut the gas flow from the outlet of each reactor into the central analyzer, so as to realize the sequential online analysis of the gas at the outlet of each channel. At the same time, the intelligent control algorithm of the central control unit fine-tunes the experimental parameters according to the monitoring value of the outlet hydrogen concentration, maintaining the set test conditions or executing the variable operating condition program. S5: Data fusion and hydrogen elimination efficiency calculation. The data management and visualization platform synchronously integrates the precise component data of the central analytical instruments and the continuous process monitoring data of the synchronous data acquisition card. It automatically calculates the real-time hydrogen elimination efficiency of each channel based on the inlet hydrogen molar flow rate and the outlet hydrogen molar flow rate. The hydrogen elimination efficiency calculation formula is: η = (Cin - Cout) / Cin ×100%, where η is the hydrogen elimination efficiency, Cin is the inlet hydrogen molar flow rate, and Cout is the outlet hydrogen molar flow rate. S6: Comparative analysis and report generation. Determine whether the preset test endpoint has been reached. If it has, the central control unit controls the system to stop the test. The data management and visualization platform performs multi-dimensional comparative analysis on the data of each channel, automatically draws comparison charts such as efficiency curves and temperature characteristic curves, and generates a test report containing experimental data of all channels, comparison charts and key conclusions with one click. If it has not been reached, return to step S4 to continue the test.

9. The detection method of the multi-channel, multi-environment intelligent hydrogen removal efficiency detection system according to claim 8, characterized in that, The online analysis in step S4 includes at least one of hydrogen, oxygen, water, CO, CO2, methane, ammonia, and nitrogen oxides; the variable operating condition program includes at least one of programmed temperature rise reaction mode, dynamic response mode with periodic step changes in hydrogen concentration, and accelerated life test mode for long-term steady-state operation.

10. The detection method of the multi-channel, multi-environment intelligent hydrogen removal efficiency detection system according to claim 8, characterized in that, The process monitoring data mentioned in step S5 includes temperature, pressure, gas flow rate, real-time humidity, and hydrogen concentration sensor monitoring data for each channel.

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