Filter monitoring method and device of hydrogen production system

Abstract

The invention discloses a method and a device for monitoring a filter of a hydrogen production system. The method comprises the following steps: S1, detecting the inlet end pressure, the outlet end pressure, the alkali liquor temperature and the water pump rotating speed at the inlet end of the filter in real time; s2, judging whether the temperature of the alkali liquor reaches a preset temperature value or not; if yes, executing S3, and if not, returning to S1; s3, whether the pressure difference between the inlet end pressure and the outlet end pressure is larger than a preset pressure difference or not is judged; if yes, generating monitoring information and executing S5, and if not, executing S4; s4, judging whether the rotating speed of the water pump is within a preset rotating speed range; if yes, returning to S1, and if not, generating monitoring information and executing S5; and S5, sending an abnormal alarm signal based on the monitoring information, generating a fault monitoring log, pushing the fault monitoring log to a user terminal, and then executing a corresponding maintenance plan. The problems that when the filter of the hydrogen production system is monitored only based on pressure or combined with flow, misjudgment is prone to occurring, and liquid leakage of the filter cannot be effectively monitored are solved.

Description

Technical Field

[0001] This invention relates to the field of hydrogen production technology, and more specifically, to a method and apparatus for monitoring filters in a hydrogen production system. Background Technology

[0002] Currently, alkaline solution hydrogen production systems primarily rely on filters to remove alkali to prevent impurities from damaging the electrodes of the electrolyzer and clogging the flow channels. However, in actual operation, filters are prone to clogging and leakage after a certain period of use. Existing technologies determine filter clogging by monitoring the pressure difference between the inlet and outlet of the filter (clogging occurs when the pressure difference is large), or by adding flow rate monitoring to pressure monitoring (clogging occurs when the pressure difference is large and the flow rate decreases). However, relying solely on the pressure difference parameter to detect filter status fails to consider other factors affecting the pressure difference, such as pipeline leaks and pump performance changes. This makes it difficult to accurately identify the cause when pressure difference changes occur, leading to misjudgments. Adding flow rate monitoring to pressure monitoring to determine filter clogging is insufficient because early or minor clogging may not show significant flow rate changes, and it cannot effectively monitor filter leaks. Summary of the Invention

[0003] The main objective of this invention is to provide a method and apparatus for monitoring filters in a hydrogen production system, so as to at least solve the problem that monitoring filters in a hydrogen production system based solely on pressure or in combination with flow rate is prone to misjudgment and cannot effectively monitor filter leakage.

[0004] According to one aspect of the present invention, a filter monitoring method for a hydrogen production system is provided, comprising:

[0005] Step S1: Real-time monitoring of the filter operating parameters of the hydrogen production system, including inlet pressure, outlet pressure, alkaline solution temperature, and inlet pump speed;

[0006] Step S2: Determine whether the temperature of the alkali solution has reached the preset temperature value; if yes, proceed to step S3; otherwise, return to step S1.

[0007] Step S3: Determine whether the pressure difference between the inlet pressure and the outlet pressure is greater than a preset pressure difference; if yes, generate the corresponding monitoring information and execute step S5; otherwise, execute step S4.

[0008] Step S4: Determine whether the water pump speed is within the preset speed range; if yes, return to step S1; otherwise, generate the corresponding monitoring information and execute step S5.

[0009] Step S5: Based on the monitoring information, issue an abnormal alarm signal and generate a fault monitoring log. After pushing the fault monitoring log to the user terminal, execute the corresponding maintenance plan.

[0010] Furthermore, before performing step S1, the method further includes:

[0011] The pressure difference threshold is set based on the historical pressure difference between the inlet and outlet of the filter in the hydrogen production system and the corresponding filter blockage.

[0012] The temperature threshold is set according to the start-up temperature of the fuel cell stack of the hydrogen production system in different alkaline environments.

[0013] The preset speed range is set according to the rated speed of the water pump at the inlet end of the filter of the hydrogen production system.

[0014] Furthermore, before performing step S4, the method further includes:

[0015] Determine whether the inlet pressure is within a first preset pressure range and whether the outlet pressure is within a second preset pressure range;

[0016] If the inlet pressure is within the first preset pressure range and the outlet pressure is within the second preset pressure range, proceed to step S4;

[0017] Simultaneously, if the inlet pressure is not within the first preset pressure range or the outlet pressure is not within the second preset pressure range, corresponding monitoring information is generated and step S4 is executed.

[0018] Furthermore, before performing step S1, the method further includes:

[0019] Determine the set of historical pressure data at the inlet end and the set of historical pressure data at the outlet end when the water pump at the inlet end of the filter of the hydrogen production system is at its rated speed;

[0020] A first preset pressure range for the filter inlet is set based on the historical pressure data set at the inlet, and a second preset pressure range for the filter outlet is set based on the historical pressure data set at the outlet.

[0021] Further, step S5 includes:

[0022] Step S51: Determine the fault identification type of the hydrogen production system based on the monitoring information, issue a fault alarm signal based on the fault identification type, and generate a corresponding fault repair plan.

[0023] Step S52: Generate a fault monitoring log based on the fault identification type and the corresponding fault repair plan;

[0024] Step S53: Push the fault repair log to the user terminal for display. After receiving the fault repair log, the user terminal obtains the corresponding maintenance plan based on the fault monitoring log and performs fault repair on the hydrogen production system according to the maintenance plan.

[0025] Furthermore, in step S51, when the pressure difference between the inlet pressure and the outlet pressure is greater than a preset pressure difference, the fault identification type includes filter blockage fault, and the corresponding fault repair plan is to replace the filter.

[0026] Furthermore, in step S51, when the pressure difference between the inlet pressure and the outlet pressure is not greater than a preset pressure difference and the pump speed is not within a preset speed range, the fault identification type includes filter inlet pump fault and inverter fault, and the corresponding fault repair plan is to check the filter pump and check the inverter.

[0027] Furthermore, in step S51, when the inlet pressure is not within the first preset pressure range or the outlet pressure is not within the second preset pressure range, the fault identification type includes alkali pipeline fault, and the corresponding fault repair plan is alkali pipeline leak repair.

[0028] On the other hand, the present invention also provides a filter monitoring device for a hydrogen production system, applicable to the aforementioned filter monitoring method for a hydrogen production system. The device includes a data detection unit, a data processing unit, and an alarm unit. The data detection unit is signal-connected to the data processing unit and is used to acquire the filter operating parameters of the hydrogen production system in real time and transmit them to the data processing unit. The processing unit is signal-connected to the alarm unit and is used to generate corresponding monitoring information based on the filter operating parameters and generate a fault monitoring log based on the monitoring information. The alarm unit is used to issue an abnormal alarm signal based on the monitoring information.

[0029] Furthermore, the data detection unit includes a first pressure sensor, a second pressure sensor, a temperature sensor, and a speed sensor. The first pressure sensor is installed at the filter inlet of the hydrogen production system to detect the inlet pressure in real time. The second pressure sensor is installed at the filter outlet to detect the outlet pressure in real time. The temperature sensor is installed at the filter outlet to detect the alkaline solution temperature in real time. The speed sensor is installed at the filter inlet to detect the water pump speed in real time.

[0030] In this invention, multiple parameters are simultaneously monitored, including the filter's inlet pressure, outlet pressure, alkali solution temperature, and the pump speed at the inlet. The pressure difference between the filter's inlet and outlet is only assessed after the alkali solution temperature reaches a preset value. This comprehensive analysis, combined with the pump speed, effectively eliminates interference from factors such as temperature changes, allowing for more accurate detection of actual filter malfunctions. For example, if the pressure difference increases while the pump speed is normal, other factors may be causing the pressure change, rather than filter blockage. Only when the pressure difference increases and the pump speed is abnormal is filter blockage more likely. This multi-parameter comprehensive assessment effectively eliminates interference from other factors, improves the accuracy of filter status assessment, and reduces misjudgments. By comprehensively analyzing the changes in multiple parameters, the filter's condition can be analyzed more comprehensively. When a filter leaks, it may cause abnormal changes in parameters such as pressure and speed. Real-time monitoring and comprehensive assessment of these parameters allow for timely detection of leaks, enabling appropriate measures to be taken to prevent further damage to the hydrogen production system. Timely and accurate assessment of filter status can prevent issues such as filter clogging or leakage from affecting the normal operation of the hydrogen production system. When an abnormality is detected in the filter, the system can promptly issue an alarm signal, generate a fault monitoring log, and push it to the user terminal, while simultaneously executing the corresponding maintenance plan. Users can quickly and accurately maintain the hydrogen production system based on the fault monitoring log and maintenance plan, reducing system downtime and ensuring stable operation. The generated fault monitoring log contains detailed information on filter operating parameters and the basis for fault diagnosis, providing users with comprehensive fault information. Simultaneously, the corresponding maintenance plan provides clear maintenance guidance, enabling users to maintain the hydrogen production system more quickly and accurately, improving maintenance efficiency and reducing the technical skill requirements for users. By setting preset temperature values, preset pressure differentials, and preset speed ranges, parameters can be flexibly adjusted according to different hydrogen production systems and operating conditions. This flexibility allows the filter monitoring method of this invention to adapt to different hydrogen production systems, improving the system's versatility and adaptability. Attached Figure Description

[0031] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this invention, illustrate exemplary embodiments of the invention and are used to explain the invention, but do not constitute an undue limitation of the invention. In the drawings:

[0032] Figure 1 This is a schematic diagram of the structure of the filter monitoring device of the hydrogen production system disclosed in an embodiment of the present invention;

[0033] Figure 2This is a partial structural schematic diagram of the filter monitoring device and hydrogen production system disclosed in an embodiment of the present invention;

[0034] Figure 3 This is a schematic flowchart of the filter monitoring method for a hydrogen production system disclosed in an embodiment of the present invention.

[0035] The above figures include the following reference numerals:

[0036] 10. Data detection unit; 11. First pressure sensor; 12. Second pressure sensor; 13. Temperature sensor; 14. Speed ​​sensor; 20. Data processing unit; 30. Alarm unit; 40. Filter; 50. Water pump. Detailed Implementation

[0037] It should be noted that, unless otherwise specified, the embodiments and features described in the present invention can be combined with each other. The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0038] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the scope of exemplary embodiments according to the invention. As used herein, the singular form is intended to include the plural form as well, unless the context clearly indicates otherwise. Furthermore, it should be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.

[0039] Unless otherwise specifically stated, the relative arrangement, numerical expressions, and values ​​of the components and steps set forth in these embodiments do not limit the scope of the invention. It should also be understood that, for ease of description, the dimensions of the various parts shown in the drawings are not drawn to actual scale. Techniques, methods, and devices known to those skilled in the art may not be discussed in detail, but where appropriate, such techniques, methods, and devices should be considered part of the specification. In all examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not as limitations. Therefore, other examples of exemplary embodiments may have different values. It should be noted that similar reference numerals and letters in the following figures denote similar items; therefore, once an item is defined in one figure, it need not be further discussed in subsequent figures.

[0040] See Figure 1As shown in the embodiment of this application, a filter monitoring device for a hydrogen production system is provided. The device includes a data detection unit 10, a data processing unit 20, and an alarm unit 30. The data detection unit 10 is signal-connected to the data processing unit 20 and is used to acquire the filter operating parameters of the hydrogen production system in real time and transmit them to the data processing unit 20. The data processing unit 20 is signal-connected to the alarm unit 30 and is used to generate corresponding monitoring information based on the filter operating parameters and generate a fault monitoring log based on the monitoring information. The alarm unit 30 is used to issue an abnormal alarm signal based on the monitoring information.

[0041] refer to Figure 2 The diagram shows a partial structural schematic of the filter monitoring device and hydrogen production system in this embodiment. The data detection unit 10 includes a first pressure sensor 11, a second pressure sensor 12, a temperature sensor 13, and a speed sensor 14. The first pressure sensor 11 is located at the inlet end of the filter 40 of the hydrogen production system to detect the inlet pressure in real time. The second pressure sensor 12 is located at the outlet end of the filter 40 to detect the outlet pressure in real time. The temperature sensor 13 is located at the outlet end of the filter 40 to detect the alkaline solution temperature in real time. The speed sensor 14 is located at the inlet side of the filter 40 to detect the speed of the water pump 50 in real time.

[0042] In the above embodiments, the data detection unit 10 integrates a first pressure sensor 11, a second pressure sensor 12, a temperature sensor 13, and a speed sensor 14 to acquire filter operating parameters in real time from multiple dimensions. This greatly improves the comprehensiveness and accuracy of the data, enabling timely capture of subtle changes during filter operation. For example, the first pressure sensor 11 and the second pressure sensor 12 work together to accurately measure the pressure difference across the filter, providing crucial information for determining whether the filter 40 is clogged. The temperature sensor 13 monitors the alkaline solution temperature at the outlet of the filter 40, effectively avoiding misjudgments caused by temperature changes. The speed sensor 14 provides real-time feedback on the speed of the water pump 50 at the inlet of the filter 40, helping maintenance personnel to monitor the operating status of the water pump 50. The data processing unit 20 generates monitoring information based on the received multi-source data and further generates a fault monitoring log. Through comprehensive analysis of multiple sets of data, the fault type can be accurately identified, significantly reducing the misjudgment rate compared to traditional methods that rely on a single parameter for fault judgment. Simultaneously, the generation of the fault monitoring log provides reliable data for subsequent fault tracing and system optimization. After receiving the monitoring information, the alarm unit 30 quickly issues an abnormal alarm signal, promptly notifying maintenance personnel to handle the fault. This not only effectively shortens fault response time and prevents further escalation of faults, ensuring the stable operation of the hydrogen production system, but also reduces the risk of equipment damage, lowers maintenance costs, and extends equipment lifespan through timely intervention. Overall, the monitoring device in this embodiment significantly improves the intelligent monitoring and maintenance level of the hydrogen production system's filters, effectively guaranteeing the high efficiency and safety of hydrogen production.

[0043] On the other hand, this application also discloses a filter monitoring method for a hydrogen production system, which is executed by the aforementioned filter monitoring device, with reference to... Figure 3 As shown, the method includes:

[0044] Before performing step S1, the method of this embodiment includes:

[0045] Determine the historical pressure data set at the inlet and outlet of the hydrogen production system when the inlet pump is at its rated speed.

[0046] The first preset pressure range at the filter inlet is set based on the historical pressure data set at the inlet, and the second preset pressure range at the filter outlet is set based on the historical pressure data set at the outlet.

[0047] Furthermore, before performing step S1, the method of this embodiment further includes:

[0048] The differential pressure threshold is set based on the historical pressure difference between the inlet and outlet of the filter in the hydrogen production system and the corresponding filter blockage.

[0049] The temperature threshold is set according to the start-up temperature of the fuel cell stack in different alkaline environments of the hydrogen production system.

[0050] The preset speed range is set according to the rated speed of the water pump at the inlet end of the filter of the hydrogen production system.

[0051] Understandably, when monitoring the filters in a hydrogen production system using a filter monitoring device, several parameters need to be set based on the characteristics of the hydrogen production system. First, historical pressure difference data between the inlet and outlet of the hydrogen production system filter, along with the corresponding filter clogging levels, is collected, and a pressure difference threshold is set accordingly. For example, if historical data shows that the probability of filter clogging exceeds 80% when the pressure difference reaches 0.5 MPa, then 0.5 MPa can be set as the pressure difference threshold. Simultaneously, since the start-up temperature of the fuel cell stack in the hydrogen production system varies under different alkaline solutions, a temperature threshold must be set based on the corresponding start-up temperature of the fuel cell stack in different alkaline solutions. For example, if the stable start-up temperature of the fuel cell stack is 80℃ at a preset alkaline solution concentration, then 80℃ can be used as the temperature threshold. Furthermore, a preset speed range must be set based on the rated speed of the water pump at the filter inlet. Assuming the rated speed of the water pump is 1500 rpm, considering that actual operation may fluctuate, the preset speed range can be set to 1450-1550 rpm. To further improve monitoring accuracy, it is also necessary to determine the historical pressure data sets at the inlet and outlet of the hydrogen production system filter inlet pump when it is at rated speed. Taking the inlet as an example, if the collected data shows that the inlet pressure fluctuates between 0.8 and 0.9 MPa at rated speed, then 0.8-0.9 MPa can be set as the first preset pressure range for the filter inlet. Similarly, assuming that the historical pressure data set at the outlet shows a pressure between 0.3 and 0.4 MPa, this can be set as the second preset pressure range for the filter outlet.

[0052] In the above embodiments, by determining the historical pressure data set at the inlet and outlet of the filter inlet pump when it is at its rated speed, and setting a first and second preset pressure range accordingly, the system clearly defines the normal range of the filter inlet and outlet pressures. When the real-time monitored pressure data deviates from the preset range, it can more accurately determine whether the filter is malfunctioning. By setting a pressure difference threshold based on the historical pressure difference between the filter inlet and outlet and the corresponding blockage, the system can more accurately identify whether the filter is blocked compared to fuzzy judgment. At the same time, by setting a temperature threshold based on the start-up temperature of the fuel cell stack under different alkaline environments, and setting a preset speed range based on the rated speed of the pump, the system comprehensively considers multiple factors when judging faults, avoiding misjudgments caused by normal fluctuations in temperature or speed, and significantly improving the accuracy of fault diagnosis.

[0053] Step S1: Real-time monitoring of the filter operating parameters of the hydrogen production system, including inlet pressure, outlet pressure, alkali temperature, and inlet pump speed.

[0054] Specifically, after the system is officially started and initialized, it uses a first pressure sensor 11 installed at the filter inlet, a second pressure sensor 12 installed at the filter outlet, a temperature sensor T13 installed at the filter outlet, and a speed sensor 14 installed on the water pump at the filter inlet to detect the filter's operating parameters in real time. The first pressure sensor 11 detects the filter inlet pressure P1, the second pressure sensor 12 detects the filter outlet pressure P2, the temperature sensor 13 detects the alkali temperature T at the filter outlet, and the speed sensor 14 detects the water pump speed S at the filter inlet. For example, at a certain moment, the inlet pressure P1 is monitored to be 0.85 MPa, the outlet pressure P2 to be 0.35 MPa, the alkali temperature T to be 85°C, and the water pump speed S to be 1520 rpm.

[0055] Step S2: Determine whether the temperature of the alkali solution has reached the preset temperature value; if yes, proceed to step S3; otherwise, return to step S1.

[0056] Specifically, while detecting the filter operating parameters, the system first determines whether the alkaline solution temperature T has reached the preset temperature value. Among the above-mentioned set values, the preset temperature value is 80℃, and T = 85℃ > 80℃, which meets the condition that the alkaline solution temperature T reaches the preset temperature value, so the system continues to execute step S3; if the alkaline solution temperature T does not reach 80℃, it indicates that the filter of the hydrogen production system is operating normally, so the system returns to step S1 to continuously monitor the filter operating parameters until the alkaline solution temperature T reaches 80℃.

[0057] In hydrogen production systems, the temperature of the alkali solution significantly impacts system operation. Ignoring this temperature can lead to misleading pressure and rotational speed data at different alkali solution temperatures. For example, changes in alkali viscosity at low temperatures can cause pressure and rotational speed fluctuations, easily misdiagnosed as filter malfunctions. Furthermore, the fuel cell stack in the hydrogen production system only starts operating to electrolyze the alkali solution and produce hydrogen after the gap temperature reaches a preset value. Therefore, before determining the differential pressure, the alkali solution temperature at the filter outlet is monitored, and the differential pressure is measured only after the alkali solution temperature reaches the preset value. This embodiment sets the judgment to be performed after the alkali solution temperature reaches the preset value. At this point, the system state is relatively stable, and judging whether the differential pressure is greater than the preset value more accurately reflects the actual filter blockage, eliminating the interference of alkali solution temperature changes on pressure and rotational speed. This allows for a more precise determination of whether the filter is truly blocked or leaking, improving the accuracy of filter overload detection. Judging the differential pressure under the condition that the alkali solution temperature reaches the preset value avoids misjudgments caused by the influence of alkali solution temperature, accurately determining the filter blockage status.

[0058] Step S3: Determine whether the pressure difference between the inlet pressure and the outlet pressure is greater than a preset pressure difference; if yes, generate corresponding monitoring information and execute step S5; otherwise, execute step S4. Specifically, when the alkali temperature T reaches the preset temperature, determine whether the pressure difference between the inlet pressure P1 and the outlet pressure P2 is greater than the preset pressure difference. In this embodiment, the pressure difference PV = P1 - P2 = 0.85 - 0.35 = 0.5 MPa, which is exactly equal to the preset pressure difference threshold of 0.5 MPa. At this time, the system generates corresponding monitoring information and executes step S5. When the pressure difference is less than the preset pressure difference, execute step S4.

[0059] In the above embodiments, when the pressure difference between the inlet and outlet of the filter equals a preset pressure difference threshold, the system generates corresponding monitoring information, allowing users to understand the filter's status in a timely manner. This timely information feedback helps users take prompt measures, such as replacing or repairing the filter, to avoid affecting the normal operation of the hydrogen production system due to filter blockage, thus ensuring the stability and reliability of the hydrogen production system.

[0060] Before performing step S4 to determine the pump speed, the method includes:

[0061] Determine whether the inlet pressure is within the first preset pressure range and whether the outlet pressure is within the second preset pressure range;

[0062] If the inlet pressure is within the first preset pressure range and the outlet pressure is within the second preset pressure range, proceed to step S4.

[0063] Simultaneously, if the inlet pressure is not within the first preset pressure range or the outlet pressure is not within the second preset pressure range, corresponding monitoring information is generated and step S4 is executed.

[0064] Specifically, before determining the pump speed, it is first determined whether the inlet pressure P1 is within the first preset pressure range and whether the outlet pressure P2 is within the second preset pressure range. If the inlet pressure P1 is 0.85 MPa, which is within the first preset pressure range of 0.8-0.9 MPa, and the outlet pressure P2 is 0.35 MPa, which is also within the second preset pressure range of 0.3-0.4 MPa, then the corresponding monitoring information is generated.

[0065] In the above embodiments, by simultaneously monitoring the inlet and outlet pressure ranges of the filter, filter failure is not only determined when the pressure difference between the inlet and outlet ends is abnormal, but also based on either the inlet or outlet pressure alone, enriching the system's monitoring dimensions. This not only helps identify potential problems in the filter and piping system but also avoids misjudgments due to a single factor. This monitoring method, which integrates multiple parameters, is more suitable for the complex and variable operating environment of hydrogen production systems, significantly improving the accuracy of filter failure monitoring. When the inlet or outlet pressure is outside the preset range, monitoring information is generated immediately, enabling maintenance personnel to quickly detect abnormalities in the hydrogen production system. For example, excessively high inlet pressure indicates blockage in the upstream pipeline of the filter; the generated information guides maintenance personnel to quickly locate the problem, allowing for timely measures to prevent the fault from escalating and ensuring stable system operation.

[0066] Step S4: Determine whether the water pump speed is within the preset speed range; if yes, return to step S1; otherwise, generate the corresponding monitoring information and execute step S5.

[0067] Specifically, assuming the water pump speed is 1520 rpm, which is within the preset speed range of 1450-1550 rpm, it indicates that the filter of the hydrogen production system is operating normally, and the system returns to step S1 to continue monitoring. When the speed is outside the preset speed range, the system generates corresponding monitoring information and executes step S5. If the inlet or outlet pressure is outside the preset range, for example, if the inlet pressure is 0.7 MPa and not within the 0.8-0.9 MPa range, the system generates corresponding monitoring information and executes step S4.

[0068] In the above embodiments, when the pressure difference between the filter inlet and outlet is not greater than a preset pressure difference, it is impossible to directly determine whether the filter is faulty. Further judgment is needed regarding the normality of the pump speed at the filter inlet. By monitoring the pump speed, if the speed exceeds a preset range, monitoring information is generated and corresponding operations are executed. This allows for timely detection of abnormal pump speed caused by factors such as filter blockage or pump motor failure at the filter inlet, ensuring the stable operation of the hydrogen production system. Conversely, when the pump speed is within the preset range, it indicates that the filter in the hydrogen production system is not faulty, and the process returns to step S1 for continued monitoring. This enables continuous and dynamic monitoring of the hydrogen production system, allowing for timely detection of filter malfunctions during operation.

[0069] Step S5: Based on the monitoring information, issue an abnormal alarm signal and generate a fault monitoring log. After pushing the fault monitoring log to the user terminal, execute the corresponding maintenance plan.

[0070] Further, step S5 includes:

[0071] Step S51: Determine the fault identification type of the hydrogen production system based on the monitoring information, issue a fault alarm signal based on the fault identification type, and generate a corresponding fault repair plan.

[0072] Step S52: Generate a fault monitoring log based on the fault identification type and the corresponding fault repair plan;

[0073] Step S53: Push the fault repair log to the user terminal for display. After receiving the fault repair log, the user terminal obtains the corresponding repair plan based on the fault monitoring log and performs fault repair on the hydrogen production system according to the repair plan.

[0074] Furthermore, in step S51, when the pressure difference between the inlet pressure and the outlet pressure is greater than the preset pressure difference, the fault identification type includes filter blockage fault, and the corresponding fault repair plan is to replace the filter.

[0075] Furthermore, in step S51, when the pressure difference between the inlet pressure and the outlet pressure is not greater than the preset pressure difference and the pump speed is not within the preset speed range, the fault identification types include filter inlet pump fault and inverter fault, and the corresponding fault repair plan is to check the filter pump and check the inverter.

[0076] Furthermore, in step S51, when the inlet pressure is not within the first preset pressure range or the outlet pressure is not within the second preset pressure range, the fault identification type includes alkali pipeline fault, and the corresponding fault repair plan is alkali pipeline leak repair.

[0077] Specifically, the system determines the fault identification type of the hydrogen production system based on monitoring information. If the pressure difference between the inlet pressure P1 and the outlet pressure P2 is greater than the preset pressure difference, such as a pressure difference of 0.5 MPa reaching the threshold, the fault identification type is filter blockage fault. The system issues a fault alarm signal and generates a corresponding fault repair plan, which is to replace the filter. If the pressure difference between the inlet pressure P1 and the outlet pressure P2 is not greater than the preset pressure difference and the pump speed S is not within the preset speed range, assuming the pressure difference is 0.4 MPa and the speed is 1400 rpm, the fault identification types include filter inlet pump fault and frequency converter fault. The corresponding fault repair plan is to check the filter pump and check the frequency converter. If the inlet pressure P1 is not within the first preset pressure range or the outlet pressure P2 is not within the second preset pressure range, for example, the outlet pressure P2 is 0.2 MPa, not within the 0.3-0.4 MPa range, the fault identification type includes alkali pipeline fault. The corresponding fault repair plan is to repair the alkali pipeline leak. The system generates fault monitoring logs based on fault identification types and corresponding fault repair plans. This logs record information such as fault occurrence time, fault type, and repair plan, and are then pushed to user terminals for display. After receiving the fault repair logs, users can obtain the corresponding repair plans and perform fault repairs on the hydrogen production system according to the plans. This includes tasks such as arranging for maintenance personnel to replace filters, inspect water pumps and frequency converters, or troubleshoot and repair leaks in alkali pipelines.

[0078] In the above embodiments, by comprehensively analyzing multiple parameters such as the pressure at the filter inlet and outlet ends and the pump speed, different types of faults are accurately identified. Taking filter blockage fault judgment as an example, the judgment is based on whether the pressure difference between the inlet and outlet ends is greater than a preset pressure difference, avoiding false alarms caused by fluctuations in a single parameter. When other interfering factors cause a parameter to be abnormal, the multi-parameter comprehensive judgment mechanism can effectively eliminate interference and provide an accurate fault diagnosis. For different parameter combinations, fault types are accurately classified. For example, the situation of abnormal pump speed and normal pressure difference is subdivided into filter inlet pump fault and inverter fault, which helps maintenance personnel quickly locate the root cause of the fault, greatly shortens the fault investigation time, and improves the fault handling efficiency. Once an abnormality is detected, the fault identification type is automatically determined based on the monitoring information, and corresponding fault alarm signals and maintenance plans are generated. This reduces manual intervention, greatly shortens the fault response time, and enables maintenance personnel to know the fault situation as soon as possible and obtain detailed maintenance guidance. Fault monitoring logs and maintenance plans are pushed to user terminals, making it convenient for maintenance personnel to obtain fault information anytime and anywhere and respond quickly. Maintenance personnel can understand fault conditions in advance and prepare for repairs without being physically present on-site, significantly improving the convenience and timeliness of maintenance. Each fault type corresponds to a specific repair plan, providing clear operational guidance for maintenance personnel. This not only reduces reliance on the technical skills of maintenance personnel, ensuring that even inexperienced personnel can operate according to the plan, but also guarantees the quality of maintenance work and reduces secondary faults caused by improper human operation. Fault monitoring logs are generated, recording in detail the time and type of fault occurrence and the corresponding repair plan, providing data support for subsequent fault analysis and hydrogen production system optimization. Maintenance personnel can review the fault monitoring logs to improve maintenance strategies and further enhance the stability and reliability of the hydrogen production system.

[0079] For ease of description, spatial relative terms such as "above," "on top of," "on the upper surface of," "above," etc., are used herein to describe the spatial positional relationship of a device or feature as shown in the figures to other devices or features. It should be understood that spatial relative terms are intended to encompass different orientations in use or operation beyond the orientation of the device as described in the figures. For example, if the device in the figures were inverted, a device described as "above" or "on top of" other devices or structures would subsequently be positioned as "below" or "under" other devices or structures. Thus, the exemplary term "above" can include both "above" and "below." The device may also be positioned in other different ways (rotated 90 degrees or in other orientations), and the spatial relative descriptions used herein will be interpreted accordingly.

[0080] Furthermore, it should be noted that the use of terms such as "first" and "second" to define components is merely for the purpose of distinguishing the corresponding components. Unless otherwise stated, the above terms have no special meaning and therefore should not be construed as limiting the scope of protection of this invention.

[0081] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for monitoring filters in a hydrogen production system, characterized in that, include: Step S1: Real-time monitoring of the filter operating parameters of the hydrogen production system, including inlet pressure, outlet pressure, alkaline solution temperature, and inlet pump speed; Step S2: Determine whether the temperature of the alkaline solution has reached the preset temperature value; If yes, proceed to step S3; otherwise, return to step S1. Step S3: Determine whether the pressure difference between the inlet pressure and the outlet pressure is greater than a preset pressure difference; if yes, generate the corresponding monitoring information and execute step S5; otherwise, execute step S4. Step S4: Determine whether the water pump speed is within the preset speed range; if yes, return to step S1; otherwise, generate the corresponding monitoring information and execute step S5. Step S5: Based on the monitoring information, issue an abnormal alarm signal and generate a fault monitoring log. After pushing the fault monitoring log to the user terminal, execute the corresponding maintenance plan.

2. The filter monitoring method for a hydrogen production system according to claim 1, characterized in that, Before performing step S1, the method further includes: The pressure difference threshold is set based on the historical pressure difference between the inlet and outlet of the filter in the hydrogen production system and the corresponding filter blockage. The temperature threshold is set according to the start-up temperature of the fuel cell stack of the hydrogen production system in different alkaline environments. The preset speed range is set according to the rated speed of the water pump at the inlet end of the filter of the hydrogen production system.

3. The filter monitoring method for a hydrogen production system according to claim 1, characterized in that, Before performing step S4, the method further includes: Determine whether the inlet pressure is within a first preset pressure range and whether the outlet pressure is within a second preset pressure range; If the inlet pressure is within the first preset pressure range and the outlet pressure is within the second preset pressure range, proceed to step S4; Simultaneously, if the inlet pressure is not within the first preset pressure range or the outlet pressure is not within the second preset pressure range, corresponding monitoring information is generated and step S4 is executed.

4. The filter monitoring method for a hydrogen production system according to claim 3, characterized in that, Before performing step S1, the method further includes: Determine the set of historical pressure data at the inlet end and the set of historical pressure data at the outlet end when the water pump at the inlet end of the filter of the hydrogen production system is at its rated speed; A first preset pressure range for the filter inlet is set based on the historical pressure data set at the inlet, and a second preset pressure range for the filter outlet is set based on the historical pressure data set at the outlet.

5. The filter monitoring method for a hydrogen production system according to claim 3, characterized in that, Step S5 includes: Step S51: Determine the fault identification type of the hydrogen production system based on the monitoring information, issue a fault alarm signal based on the fault identification type, and generate a corresponding fault repair plan. Step S52: Generate a fault monitoring log based on the fault identification type and the corresponding fault repair plan; Step S53: Push the fault repair log to the user terminal for display. After receiving the fault repair log, the user terminal obtains the corresponding maintenance plan based on the fault monitoring log and performs fault repair on the hydrogen production system according to the maintenance plan.

6. The filter monitoring method for a hydrogen production system according to claim 5, characterized in that, In step S51, when the pressure difference between the inlet pressure and the outlet pressure is greater than the preset pressure difference, the fault identification type includes filter blockage fault, and the corresponding fault repair plan is to replace the filter.

7. The filter monitoring method for a hydrogen production system according to claim 5, characterized in that, In step S51, when the pressure difference between the inlet pressure and the outlet pressure is not greater than the preset pressure difference and the pump speed is not within the preset speed range, the fault identification type includes filter inlet pump fault and inverter fault, and the corresponding fault repair plan is to check the filter pump and check the inverter.

8. The filter monitoring method for a hydrogen production system according to claim 7, characterized in that, In step S51, if the inlet pressure is not within the first preset pressure range or the outlet pressure is not within the second preset pressure range, the fault identification type includes alkali pipeline fault, and the corresponding fault repair plan is alkali pipeline leak repair.

9. A filter monitoring device for a hydrogen production system, applicable to the filter monitoring method for a hydrogen production system as described in any one of claims 1 to 8, characterized in that, The device includes a data detection unit, a data processing unit, and an alarm unit. The data detection unit is signal-connected to the data processing unit and is used to acquire the filter operating parameters of the hydrogen production system in real time and transmit them to the data processing unit. The processing unit is signal-connected to the alarm unit and is used to generate corresponding monitoring information based on the filter's operating parameters and to generate a fault monitoring log based on the monitoring information; the alarm unit is used to issue an abnormal alarm signal based on the monitoring information.

10. The filter monitoring device for the hydrogen production system according to claim 9, characterized in that, The data detection unit includes a first pressure sensor, a second pressure sensor, a temperature sensor, and a speed sensor. The first pressure sensor is installed at the filter inlet of the hydrogen production system to detect the inlet pressure in real time. The second pressure sensor is installed at the filter outlet to detect the outlet pressure in real time. The temperature sensor is installed at the filter outlet to detect the alkaline solution temperature in real time. The speed sensor is installed at the filter inlet to detect the water pump speed in real time.

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