Methanol-to-hydrogen converter and methanol-to-hydrogen device

Abstract

The invention provides a methanol-to-hydrogen converter and a methanol-to-hydrogen device, and relates to the field of methanol-to-hydrogen. The methanol hydrogen production converter and the methanol hydrogen production device comprise a hydrogen production machine, a connecting frame is arranged on the left side of the hydrogen production machine, a control piece is installed at the front end of the left side of the connecting frame, and the converter is arranged at the front end of the right side of the connecting frame. Through specialized design of the core parameter sensing module, high-precision synchronous acquisition of conversion reaction key data is realized; the method comprises the following steps of: synchronously acquiring the temperature T, the pressure P and the hydrogen production molar flow F of a central point of a converter at the frequency of 1Hz by adopting a special sensor adaptive to a methanol hydrogen production working condition and combining embedded anti-interference installation layout and processing technologies such as signal filtering and temperature and pressure compensation, and generating an original data triple with a time sequence mark; according to the design, from sensor type selection, installation layout to signal processing full-link optimization, the problems that a traditional device is low in data acquisition precision, weak in anti-interference capacity and asynchronous in time sequence are solved.

Description

Technical Field

[0001] This invention relates to the field of methanol-to-hydrogen technology, specifically to a methanol-to-hydrogen converter and a methanol-to-hydrogen apparatus. Background Technology

[0002] With the continuous upgrading of the demand for clean and efficient energy supply in the methanol-to-hydrogen field, methanol-to-hydrogen has gradually become an important development direction for household clean energy supply due to its outstanding advantages such as easy storage and transportation of raw materials, high hydrogen production efficiency, and environmentally friendly and pollution-free reaction process. Methanol-to-hydrogen devices need to meet multiple core requirements such as hydrogen production stability, ease of operation, operational safety, and space adaptability. Its core technology lies in the precise monitoring and intelligent control of the entire methanol steam reforming reaction process, which directly determines the user experience and promotion value of the device.

[0003] Currently, existing methanol-to-hydrogen (MHT) plants still face numerous technical bottlenecks in practical applications: In the core reaction parameter acquisition stage, sensor selection and installation layout are not fully adapted to the special operating conditions of methanol-water vapor reforming reactions. They are easily affected by temperature fluctuations and media interference during the reaction process, resulting in insufficient accuracy in key data acquisition such as temperature, pressure, and hydrogen production flow rate, poor timing synchronization, and difficulty in providing reliable decision-making basis. Reaction state assessment lacks scientific quantitative indicators, relying heavily on empirical judgment, which cannot accurately reflect catalyst activity decay and changes in system thermodynamic stability, making it difficult for operators to predict potential risks in advance. The operational state is ambiguous, failing to effectively distinguish between steady state, critical oscillation state, and unstable state, leading to delayed control response and missed optimal adjustment opportunities. Control strategies are rigid, often employing fixed parameter control modes, unable to adaptively adjust according to dynamic reaction changes. This not only affects the stability of hydrogen production efficiency but may also cause safety hazards due to improper control under extreme conditions. Furthermore, the overall layout of the plant is scattered, with electrical cables and fluid pipelines in disarray, making it difficult to adapt to the compact space required for methanol-to-hydrogen production and causing inconvenience for later maintenance, severely restricting the promotion and application of methanol-to-hydrogen technology in residential settings. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a methanol-to-hydrogen converter and methanol-to-hydrogen device, which solves the problems of low operating efficiency, poor stability and safety, and high maintenance costs.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solution: a methanol-to-hydrogen converter and a methanol-to-hydrogen device, including a hydrogen generator, a connecting frame is provided on the left side of the hydrogen generator, a control component is installed at the front end of the left side of the connecting frame, a converter is provided at the front end of the right side of the connecting frame, a second pump body is installed at the bottom left side of the connecting frame, a first pump body is installed at the bottom right side of the connecting frame, and a control switch is provided at the front end of the left side of the connecting frame.

[0006] The control unit includes a core parameter sensing module, a reaction state quantification evaluation module, an operating characteristic intelligent fusion module, an operating state discrimination module, and a control execution module connected in sequence.

[0007] Preferably, the core parameter sensing module is configured to synchronously collect the temperature and pressure at the center point inside the converter and the hydrogen production molar flow rate output by the hydrogen generator at a preset frequency, and output raw data triplets with time sequence markers.

[0008] Preferably, the reaction state quantification evaluation module is configured to receive raw data triplets, calculate the reaction activity index and the system thermodynamic stability index based on temperature, pressure and hydrogen production molar flow rate, and output a data pair containing the two indices.

[0009] Preferably, the intelligent fusion module for operational features is configured to receive the reactivity index and the system thermodynamic stability index, fuse the two into a single comprehensive feature value through a nonlinear fusion function, and output the comprehensive feature value.

[0010] Preferably, the operating state determination module is configured to receive a comprehensive feature value, analyze the feature value based on an iterative algorithm, determine the current macroscopic operating state of the device, which is either a steady state, a critical oscillation state, or an unstable state, and output the corresponding state label and confidence level.

[0011] Preferably, the control execution module is configured to receive status tags and confidence levels, and generate temperature adjustment commands and feed flow rate adjustment commands according to a preset hierarchical control strategy.

[0012] Preferably, the hierarchical control strategy of the control execution module includes: when the state is steady, generating instructions to maintain the current operating parameters; when the state is critical oscillation, generating temperature fine-tuning instructions based on the sign of the comprehensive characteristic value; and when the state is unstable, generating an emergency control instruction sequence that includes cooling and reducing the feed flow rate.

[0013] Preferably, the first pump body is a metering pump used to pump a mixture of methanol and water into the converter; the second pump body is a circulating water pump used to drive the circulation of coolant in the cooling system of the hydrogen generator.

[0014] This invention provides a methanol-to-hydrogen converter and a methanol-to-hydrogen apparatus. It has the following beneficial effects:

[0015] 1. This invention achieves high-precision synchronous acquisition of key data in the conversion reaction through the specialized design of the core parameter sensing module; it adopts a dedicated sensor adapted to the methanol-to-hydrogen process, combined with embedded anti-interference installation layout and signal filtering, temperature and pressure compensation and other processing technologies, to synchronously acquire the converter center point temperature T, pressure P and hydrogen production molar flow rate F at a frequency of 1Hz, generating a raw data triplet with time sequence markers; this design optimizes the entire chain from sensor selection and installation layout to signal processing, solving the pain points of low data acquisition accuracy, weak anti-interference ability and time sequence asynchrony of traditional devices.

[0016] 2. This invention utilizes a reaction state quantification assessment module to construct a dual-index assessment system based on the Arrhenius equation and thermodynamic laws, innovatively proposing the reaction activity index RA and the system thermodynamic stability index SI. Through quantitative calculation, abstract reaction activity and system stability are transformed into explicit numerical indicators, replacing the traditional qualitative judgment mode, and achieving accurate perception of states such as catalyst activity decay and system thermodynamic fluctuations. At the same time, it is supplemented by data validity verification and moving average substitution mechanism to further improve the reliability of assessment results.

[0017] 3. This invention uses the hyperbolic tangent-arctangent multiplication coupling function of the intelligent feature fusion module to nonlinearly fuse RA and SI into a single comprehensive feature value CS. This fusion mechanism not only fully preserves the core information of the two exponential values, but also effectively suppresses extreme outlier interference through a nonlinear saturation function. Combined with a weighted moving average substitution strategy to handle fusion anomalies, it achieves both efficient feature dimension compression and enhanced anti-interference capability. Compared with the traditional multi-parameter independent discrimination mode, it greatly simplifies the complexity of subsequent state recognition and significantly improves the system's sensitivity to dynamic changes.

[0018] 4. This invention utilizes a virtual iterative classifier built on chaotic dynamics theory through an operational state discrimination module. It employs the chaotic edge sensitivity of the logistic mapping to perform nonlinear iterative calculations on the CS value, accurately distinguishing between three macroscopic operational states: "steady state," "critical oscillation," and "instability." Combined with a confidence calculation mechanism, this effectively reduces the probability of state misjudgment, solving the problems of ambiguous operational state discrimination and delayed response in traditional devices. It provides accurate state information for the execution of hierarchical control strategies, ensuring the targeted and timely nature of control actions and avoiding control malfunctions caused by state misjudgments.

[0019] 5. This invention generates differentiated temperature adjustment commands ΔT and feed flow rate adjustment commands ΔF for different operating states through a hierarchical adaptive control strategy of the control execution module. inThe system maintains stable parameters in steady state, performs small and precise fine-tuning during critical oscillations, and initiates a "cooling-feed reduction" emergency sequence when instability occurs. At the same time, it sets a safety threshold to avoid deterioration of operating conditions caused by extreme commands. This design achieves full-scenario coverage from conventional stable control to emergency protection, ensuring the stability of hydrogen production efficiency and improving the safety of the device under abnormal operating conditions, thus completely solving the technical defects of rigid and poorly adaptable traditional fixed parameter control. Attached Figure Description

[0020] Figure 1 This is a schematic diagram of the overall structure of the present invention;

[0021] Figure 2 This is a schematic diagram of the overall rear view structure of the present invention;

[0022] Figure 3 This is a schematic diagram of the overall top view of the present invention;

[0023] Figure 4 This is a schematic diagram of the control component architecture of the present invention.

[0024] The components include: 1. Hydrogen generator; 2. Connecting frame; 3. Control components; 4. Converter; 5. First pump body; 6. Control switch; 7. Second pump body. Detailed Implementation

[0025] 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.

[0026] like Figure 1-3 As shown, this embodiment of the invention provides a methanol-to-hydrogen converter and a methanol-to-hydrogen device, including a hydrogen generator 1. A connecting frame 2 is provided on the left side of the hydrogen generator 1. A control component 3 is installed at the front left side of the connecting frame 2. A converter 4 is provided at the front right side of the connecting frame 2. A second pump body 7 is installed at the bottom left side of the connecting frame 2. A first pump body 5 is installed at the bottom right side of the connecting frame 2. A control switch 6 is provided at the front left side of the connecting frame 2.

[0027] At the front left side of the connecting frame 2, a control unit 3 and a control switch 6 are centrally installed. The control unit 3 can be a PLC controller with an integrated touchscreen, used to display real-time data such as temperature, pressure, and flow rate, and to set reaction parameters. The control switch 6 can be an emergency stop switch, a power switch, or a mode selection switch. At the front right side of the connecting frame 2, a converter 4 is installed. This converter 4 contains a methanol steam reforming catalyst and is the main reaction site for hydrogen production. Its inlet is connected to the raw material supply system via a pipeline, and its outlet is connected to the subsequent purification unit of the hydrogen generator 1. At the bottom right side of the connecting frame 2, a first pump body 5 is installed. This first pump body 5 is preferably a metering pump, used to accurately pump the methanol-water mixture stored in an external or internal container of the hydrogen generator 1 to the converter 4. At the bottom left side of the connecting frame 2, a second pump body 7 is installed. The second pump body 7 can be a circulating water pump, whose inlet and outlet are connected to the cooling system inside the hydrogen generator 1 to drive the circulation of coolant and dissipate heat from the device. All electrical connection cables and fluid pipelines (not fully shown in the figure) are laid along the planned path of the connecting frame 2 and secured with cable ties or cable trays to ensure neatness and reliability. The control unit 3 communicates with the temperature / pressure sensors on the first pump body 5, the second pump body 7, and the converter 4, as well as the core control system of the hydrogen generator 1, via internal wiring.

[0028] The control component 3 is as follows Figure 4 As shown, it includes: a core parameter sensing module, a reaction state quantitative evaluation module, an operating characteristic intelligent fusion module, an operating state discrimination module, and a control execution module.

[0029] The core parameter sensing module is used to collect the center point temperature T, pressure P inside the converter 4 and the hydrogen production molar flow rate F output by the hydrogen generator 1 in real time, and output the raw data triplet with time sequence mark.

[0030] In one specific embodiment, the core parameter sensing module consists of three types of dedicated sensors and a PLC-built-in synchronous acquisition unit. All of them communicate with the industrial-grade PLC hardware platform of the control unit 3. The sensor selection is adapted to the methanol-to-hydrogen production process, and the installation layout avoids reaction interference areas. Temperature acquisition uses a K-type thermocouple sensor with a range of -200℃ to 1300℃ and an accuracy of ±0.5℃. It is embedded in the center of the top of the converter 4, with the probe extending to the internal center point and sealed and fixed by a high-temperature resistant ceramic gasket. Pressure acquisition uses a diffused silicon pressure sensor with a range of 0 to 2MPa and an accuracy of ±0.1%FS. The flange is installed in the upper middle part of the side wall of the converter 4, forming a 90° angle with the temperature sensor. A filter core is installed at the end of the conduit to prevent clogging. Hydrogen production flow acquisition uses a dedicated hydrogen mass flow controller (MFC) with a range of 0 to 50mol / s and an accuracy of ±0.2%FS. It is installed in series in the connecting pipeline between the outlet of the hydrogen generator 1 and the purification unit, and the airtightness is ensured by a compression fitting.

[0031] The core parameter sensing module synchronously acquires three parameter signals at a frequency of 1Hz. The temperature signal is filtered, amplified, and cold-junction compensated by the PLC signal conditioning circuit, and converted into a thermodynamic temperature K value. The pressure signal is converted into a digital signal by the signal conversion module, and converted into a Pa unit value after eliminating instantaneous impact spike interference. The flow controller corrects errors through the built-in temperature and pressure compensation module (synchronously acquiring the pressure signal in the pipeline), and converts the mass flow rate into molar flow rate in real time based on the ideal gas law. The synchronous acquisition unit uses the PLC's internal real-time clock as a reference and adds a time sequence mark in the format of "year-month-day hour:minute:second.millisecond" to each set of T, P, and F values ​​to form the original data triplet (T, P, F).

[0032] The reaction state quantification and evaluation module is used to receive the raw data triplet sent by the sensing module, calculate the reaction activity index RA and the system thermodynamic stability index SI based on the Arrhenius equation and thermodynamic laws, and output this dual-index data pair.

[0033] In one specific embodiment, the reaction state quantification and evaluation module receives a time-series raw data triple (T, P, F) from the core parameter sensing module. First, it verifies the data validity, removing outliers such as T exceeding 500–650 K (covering the effective temperature window of methanol steam reforming reaction 250–350 °C), P being non-positive, and F approaching 0. In case of anomalies, the valid result from the previous time step is used. Then, the reaction activity index RA is calculated using the formula:

[0034] ,

[0035] Among them, E a P is the apparent activation energy of the catalyst (preferably 100,000 J / mol), R is the ideal gas constant (fixed at 8.314 J / (mol·K)), and P is the apparent activation energy of the catalyst. ref The reference pressure is 101325 Pa.

[0036] Next, calculate the system's thermodynamic stability index SI using the following formula:

[0037] ,

[0038] Where P0 is the initial pressure after the device has stabilized after startup, and C v The specific heat capacity of hydrogen at constant volume (fixed at 20.79 J / (mol·K)) When the value exceeds 0.8 to 1.2, a fluctuation marker is recorded.

[0039] Finally, a second verification is performed on RA and SI: if RA or SI is determined to be abnormal (outside the normal operation statistical range), the moving average of the data from the three consecutive valid times before the current abnormal time is used to replace it, and the data is packaged into a double exponential data pair (RA, SI) and sent synchronously to the intelligent fusion module of operation features.

[0040] The intelligent fusion module for operational features is used to receive the RA and SI exponents sent by the evaluation module, and nonlinearly fuse the two physical exponents into a single comprehensive feature value CS through the hyperbolic tangent-arctangent multiplication coupling function, and output this feature value.

[0041] In one specific embodiment, the intelligent feature fusion module receives a bi-exponential data pair (RA, SI) from the reaction state quantification evaluation module, synchronously verifies the data timing markers to ensure alignment with the original acquisition timing of the core parameter sensing module, and avoids cross-module data misalignment; subsequently, it calculates the comprehensive feature value CS using a hyperbolic tangent-arctangent multiplication coupling function, as shown in the formula:

[0042] ,

[0043] The parameters and their characteristics are as follows: RA0 and SI0 are ideal steady-state reference values, obtained by taking the arithmetic mean of 100 sets of valid data collected during 30 minutes of continuous steady-state operation (RA fluctuation ≤ ±2%, SI fluctuation ≤ ±3%) during the device commissioning phase; σ RA σ SI σ represents the historical statistical standard deviation, calculated based on steady-state operating data from the past three months. RA Preferred values ​​are 0.05 and σ. SI The preferred value is 0.1, which can be re-statistically updated according to the catalyst aging cycle (every 6 months) to adapt to changes in operating conditions; tanh(·) and arctan(·) are both nonlinear saturation functions, possessing clear interference suppression characteristics: when When the value exceeds ±2, the tanh(·) value approaches ±1, avoiding excessive dominance of RA by extreme deviations in CS; when When the value exceeds ±π, the arctan(·) value approaches ±π / 2, limiting the interference effect of SI mutation.

[0044] After calculation, the CS value is checked for range and trend: its reasonable range is -1 to 1. Values ​​exceeding this range are marked as fusion anomalies. A weighted moving average of the first 5 valid CS values ​​is used as a replacement (weight allocation: most recent group 0.4, previous group 0.3, previous 2 groups 0.15, previous 3 groups 0.1, previous 4 groups 0.05, with a total weight of 1.0 to mitigate the influence of long-term data). Simultaneously, it is determined whether the CS changes over three consecutive periods exceed ±0.1. If so, it is marked as a feature mutation, and the mutation marker is transmitted synchronously.

[0045] Finally, a timing marker consistent with the original data is added to the CS value, and it is packaged into a single feature data frame containing "feature value + fusion status (normal / single exponential anomaly / double exponential anomaly / feature mutation)" and sent to the running status discrimination module through the PLC's built-in real-time data bus.

[0046] The operating state discrimination module is used to receive the comprehensive feature value CS sent by the fusion module, analyze the CS value based on the virtual iterative classifier constructed based on the chaotic dynamics theory, determine whether the device is currently in a "steady state", "critical oscillation" or "instability" macroscopic operating state, and output this state label.

[0047] In one specific embodiment, the running status discrimination module receives a single feature data frame from the running feature intelligent fusion module, the frame containing a comprehensive feature value CS, a fusion status flag and a synchronization timing flag;

[0048] Subsequently, the module invokes the built-in virtual iterative classifier, constructs an iterative equation based on the logistic mapping, and performs a fixed number of nonlinear iterative operations on the |CS| value. The iterative equation is as follows:

[0049] x n+1 =r×∣CS∣×(1−∣CS∣),

[0050] Among them, the bifurcation parameter r is fixed at 3.7. This value is in the chaotic edge range of the logistic mapping and is highly sensitive to small changes in the input value. It can accurately distinguish the feature differences of CS values ​​under different states. The initial value x0 of the iteration is uniformly set to 0.5. The fixed initial value can eliminate the interference of the randomness of the initial value on the iteration results and ensure the consistency of the discrimination criteria. Taking the absolute value of |CS| can uniformly map the features of positive and negative CS values ​​to the 0~1 range, avoiding the influence of the sign on the iteration trend.

[0051] The iterative operation is executed 5 times, obtaining 5 sets of iterative values: x1, x2, x3, x4, and x5. The module analyzes the variation pattern of the final iterative value x5 and the previous iterative value x4, and determines the running status according to the following rules:

[0052] If |x5−x4| < 0.001, it is determined to be in steady state. This indicates that the reactivity and thermodynamic stability corresponding to the CS value are close to the ideal baseline, and the system operating parameters do not fluctuate significantly.

[0053] If x5 and x4 fluctuate alternately and the fluctuation difference is stable in the range of 0.1 to 0.3, it is judged as a critical oscillation. This situation indicates that the system parameters are in a critical state of small fluctuations and fine-tuning control needs to be triggered.

[0054] If the fluctuation difference between x5 and x4 is irregular and exceeds the 0.3 range, it is considered unstable. This indicates that the system's reactivity or thermodynamic stability has seriously deviated from the baseline, and emergency control needs to be triggered.

[0055] After the state determination is completed, the module associates and binds the state label with the CS symbol information, and also adds a state confidence index—the confidence index is calculated based on the fluctuation consistency of the iteration values, and the formula is as follows: (The numerator is the sum of the absolute values ​​of the fluctuations in the last two iterations, and the denominator is the sum of the absolute values ​​of the fluctuations in the first two iterations), with a value range of 0 to 1; if the denominator is 0 (no fluctuations in the initial iteration), Conf=0.95 is directly assigned; when the confidence level is lower than 0.8, it is marked as 'low confidence state'; finally, the module packages 'state label + confidence level + CS symbol + timing mark' into a state discrimination data frame and sends it to the control execution module through the PLC real-time data bus.

[0056] The control execution module receives the system status tag sent by the discrimination module and generates specific temperature adjustment command ΔT and feed flow rate adjustment command ΔF according to preset mathematical mapping rules. in And drive the control unit 3 and the first pump body 5 to perform corresponding operations.

[0057] In one specific embodiment, the control execution module receives a status discrimination data frame from the running status discrimination module. First, it performs a validity check before instruction generation: if the confidence level is lower than 0.8 (low confidence state), no new instruction is generated, and the valid control instruction from the previous moment is used; if the confidence level is ≥0.8, the timing tag is checked synchronously to ensure consistency with the timing of core parameter acquisition and to avoid misalignment between the instruction and the current operating condition. Then, the corresponding control strategy is executed based on the status tag.

[0058] The module has preset core control parameters: the temperature fine-tuning reference value δT is preferably 2K to ensure small-amplitude correction under critical oscillation conditions; the feed flow rate reference value F in0 The feed flow rate of the methanol-water mixture during steady-state operation of the unit is given in mol / s (unit: mol / s, consistent with the hydrogen production molar flow rate F). The temperature adjustment safety threshold is set at ±5K, and the lower limit for feed flow rate adjustment is 0.5F. in0 To avoid extreme instructions that could lead to a deterioration in working conditions.

[0059] The control strategies are as follows, depending on the operating state:

[0060] If the state label is steady state: generate a "maintenance command" according to the mapping rule, i.e., ΔT=0, ΔF in=0. The module sends a temperature maintenance signal to the controller 3 through the PLC output channel to keep the current power of the converter 4 heating system constant; it sends a flow lock signal to the first pump body 5 (metering pump) to maintain the current feed rate; and it simultaneously sends a speed maintenance command to the second pump body 7 (circulating water pump) to maintain the coolant circulation rate and ensure the thermodynamic balance of the system.

[0061] If the status label is critical oscillation: a temperature fine-tuning command is generated based on the CS symbol, while the feed flow rate remains stable. The mapping rule is as follows: when CS > 0, it is determined that the reaction activity is too high and the thermodynamic stability is slightly poor, requiring cooling to suppress the reaction intensity, and the command is ΔT = -δT (i.e., reducing the converter temperature by 2K); when CS < 0, it is determined that the reaction activity is too low and the system has a cooling trend, requiring heating to promote the reaction, and the command is ΔT = +δT (i.e., increasing the converter temperature by 2K); at the same time, ΔF is fixed. in =0, to avoid aggravating oscillations due to feed rate fluctuations. After the instruction is generated, the controller 3 drives the built-in heating element of the converter 4 to adjust the power, achieving precise temperature fine-tuning. After fine-tuning, the temperature feedback signal is continuously monitored to ensure that the adjustment range does not overshoot.

[0062] If the status label is unstable: Execute the preset "cooling-reducing" emergency control sequence, adjusting in stages to quickly restore steady state. First minute: Generate strong cooling and reducing command, ΔT = -2δT (i.e., reduce converter temperature by 4K), ΔF in =-0.2F in0 (That is, reduce the baseline feed rate by 20%), the module drives the second pump body 7 to increase the speed and increase the coolant circulation flow rate to cooperate with the cooling operation; in the second minute: adjust to the gentle cooling command, ΔT=-δT, ΔF in =0, maintain the current feed rate to avoid excessive feed reduction that could interrupt the reaction; after two minutes, maintain the current temperature and feed rate, and continuously monitor the operating status: if the operating status judgment module outputs a "steady state" or "critical oscillation" label within 10 minutes, switch to the corresponding control strategy; if it does not recover within the time limit, automatically trigger the "emergency stop" command, cut off the feed of the first pump body 5, shut down the heating system of the converter 4, and prompt the operator to troubleshoot the fault. If necessary, manual intervention can be performed through the control switch 6.

[0063] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A methanol-to-hydrogen converter and a methanol-to-hydrogen apparatus, comprising a hydrogen generator (1), characterized in that: The hydrogen generator (1) is provided with a connecting frame (2) on the left side, a control component (3) is installed at the front end of the left side of the connecting frame (2), a converter (4) is provided at the front end of the right side of the connecting frame (2), a second pump body (7) is installed at the bottom left side of the connecting frame (2), a first pump body (5) is installed at the bottom right side of the connecting frame (2), and a control switch (6) is provided at the front end of the left side of the connecting frame (2). The control unit (3) includes a core parameter sensing module, a reaction state quantification evaluation module, an operating characteristic intelligent fusion module, an operating state discrimination module, and a control execution module connected in sequence.

2. The methanol-to-hydrogen converter and methanol-to-hydrogen apparatus according to claim 1, characterized in that: The core parameter sensing module is configured to synchronously collect the temperature and pressure of the center point inside the converter (4) and the hydrogen production molar flow rate output by the hydrogen generator (1) at a preset frequency, and output the raw data triplet with time sequence marking.

3. The methanol-to-hydrogen converter and methanol-to-hydrogen apparatus according to claim 1, characterized in that: The reaction state quantification and evaluation module is configured to receive raw data triplets, calculate the reaction activity index and the system thermodynamic stability index based on temperature, pressure and hydrogen production molar flow rate, and output a data pair containing the two indices.

4. The methanol-to-hydrogen converter and methanol-to-hydrogen apparatus according to claim 1, characterized in that: The intelligent fusion module for operational characteristics is configured to receive the reactivity index and the system thermodynamic stability index, fuse them into a single comprehensive feature value through a nonlinear fusion function, and output the comprehensive feature value.

5. The methanol-to-hydrogen converter and methanol-to-hydrogen apparatus according to claim 1, characterized in that: The operating state discrimination module is configured to receive comprehensive feature values, analyze the feature values ​​based on an iterative algorithm, determine the current macroscopic operating state of the device, including steady state, critical oscillation state, or unstable state, and output the corresponding state label and confidence level.

6. The methanol-to-hydrogen converter and methanol-to-hydrogen apparatus according to claim 1, characterized in that: The control execution module is configured to receive status tags and confidence levels, and generate temperature adjustment commands and feed flow rate adjustment commands based on a preset hierarchical control strategy.

7. A methanol-to-hydrogen converter and methanol-to-hydrogen apparatus according to claim 6, characterized in that: The hierarchical control strategy of the control execution module includes: when the state is steady, generating instructions to maintain the current operating parameters; when the state is critical oscillation, generating temperature fine-tuning instructions based on the sign of the comprehensive characteristic value; and when the state is unstable, generating an emergency control instruction sequence that includes cooling and reducing the feed flow rate.

8. The methanol-to-hydrogen converter and methanol-to-hydrogen apparatus according to claim 1, characterized in that: The first pump body (5) is a metering pump used to pump a mixture of methanol and water to the converter (4); the second pump body (7) is a circulating water pump used to drive the circulation of the cooling liquid in the cooling system of the hydrogen generator (1).

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