Damage assessment method and device for pressure swing adsorption device and storage medium

Abstract

The invention provides a damage assessment method and device for a pressure swing adsorption device and a storage medium, and relates to the technical field of damage assessment, and the method comprises the steps: collecting the operation data of the pressure swing adsorption device in real time through a sensor system, inputting the operation data into a damage assessment model, carrying out the state monitoring of the pressure swing adsorption device, and obtaining a state monitoring result; performing damage mode identification according to a monitoring result in the state monitoring result to obtain damage mode data; performing health state assessment based on the damage mode data to obtain a health assessment result; and continuously monitoring the pressure swing adsorption device according to the health assessment result. The technical problem that the actual damage condition of the adsorber under the complex working condition cannot be comprehensively and accurately evaluated due to the limitation of a single detection means in the prior art can be solved, the technical target of multi-modal quantitative detection is achieved, and the purposes of comprehensively and accurately monitoring the damage of the adsorber and improving the detection accuracy are achieved. And the reliability of damage identification is improved.

Description

Technical Field

[0001] The present application relates to the field of damage assessment technology, and in particular to a damage assessment method, device and storage medium for a pressure swing adsorption device. Background Art

[0002] With the rapid development of industry and energy, adsorbers, as an important equipment, are widely used in gas separation, storage and purification. Especially in hydrogen-rich environments, the use of adsorbers has become more and more common. However, the influence of hydrogen-rich environments on fatigue damage of adsorber materials is becoming increasingly significant. The particularity of this environment makes it easy for adsorbers to degrade in performance during long-term operation, and even cause equipment failure, which poses a huge challenge to the reliability and safety of adsorbers.

[0003] At present, the existing damage detection methods are mostly focused on monitoring a single parameter, such as temperature, pressure or vibration. However, these single detection methods often cannot fully and accurately evaluate the actual damage of the adsorber under complex working conditions. Especially under the combined effects of hydrogen-rich environments and alternating loads, a single detection method is difficult to fully reflect the evolution of damage. Therefore, it is urgently necessary to use a combination of multiple detection technologies to conduct a comprehensive evaluation and monitor the different damage modes of the adsorber in real time, thereby improving the accuracy and sensitivity of damage detection. These detection technologies can quantitatively analyze the adsorber from multiple dimensions and provide more accurate data support for damage assessment.

[0004] In summary, the prior art has a technical problem that, due to the limitations of a single detection method, it is impossible to comprehensively and accurately evaluate the actual damage of the adsorber under complex working conditions, which further affects the reliability of damage identification. Summary of the invention

[0005] The purpose of this application is to provide a damage assessment method, device and storage medium for a pressure swing adsorption device, so as to solve the technical problem in the prior art that, due to the limitations of a single detection method, it is impossible to comprehensively and accurately assess the actual damage of the adsorber under complex working conditions, further affecting the reliability of damage identification.

[0006] In view of the above problems, the present application provides a damage assessment method, device and storage medium for a pressure swing adsorption device.

[0007] In a first aspect, the present application provides a damage assessment method for a pressure swing adsorption device, which is implemented by a damage assessment device for the pressure swing adsorption device, comprising: collecting operating data of the pressure swing adsorption device in real time through a sensor system, inputting the operating data into a damage assessment model to perform state monitoring on the pressure swing adsorption device, and obtaining state monitoring results; performing damage pattern recognition based on monitoring results in the state monitoring results to obtain damage pattern data; performing health status assessment based on the damage pattern data to obtain health assessment results; and continuously monitoring the pressure swing adsorption device based on the health assessment results.

[0008] In a second aspect, the present application also provides a damage assessment device for a pressure swing adsorption device, which is used to execute the damage assessment method for a pressure swing adsorption device as described in the first aspect, including: a state monitoring module, wherein the state monitoring module is used to collect operating data of the pressure swing adsorption device in real time through a sensor system, input the operating data into a damage assessment model to perform state monitoring on the pressure swing adsorption device, and obtain state monitoring results; a damage pattern recognition module, wherein the damage pattern recognition module is used to perform damage pattern recognition based on the monitoring results in the state monitoring results, and obtain damage pattern data; a health status assessment module, wherein the health status assessment module is used to perform health status assessment based on the damage pattern data, and obtain health assessment results; and a continuous monitoring module, wherein the continuous monitoring module is used to perform continuous monitoring of the pressure swing adsorption device based on the health assessment results.

[0009] In a third aspect, a computer-readable storage medium stores a computer program, and when the computer program is executed, the steps of the damage assessment method for a pressure swing adsorption device described in any one of the first aspects are implemented.

[0010] The technical solution provided in the present application has at least the following technical effects or advantages: collecting the operating data of the pressure swing adsorption device in real time through the sensor system, inputting the operating data into the damage assessment model to perform status monitoring on the pressure swing adsorption device, and obtaining status monitoring results; performing damage pattern recognition based on the monitoring results in the status monitoring results to obtain damage pattern data; performing health status assessment based on the damage pattern data to obtain health assessment results; and continuously monitoring the pressure swing adsorption device based on the health assessment results. That is to say, by achieving the technical goal of multi-modal quantitative detection, the adsorber damage can be comprehensively and accurately monitored, and the reliability of damage identification can be improved, thereby effectively extending the service life of the equipment and ensuring the safe operation of the equipment.

[0011] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented according to the contents of the specification, and in order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are specifically cited below. It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easy to understand through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] In order to more clearly illustrate the technical solutions in the present application or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0013] Figure 1 A schematic flow chart of a damage assessment method for a pressure swing adsorption device of the present application;

[0014] Figure 2 This is a schematic structural diagram of a damage assessment device for a pressure swing adsorption device of the present application.

[0015] Explanation of the accompanying drawings: status monitoring module 11, damage pattern recognition module 12, health status assessment module 13, continuous monitoring module 14. DETAILED DESCRIPTION

[0016] This application solves the technical problem in the prior art that the actual damage of the adsorber under complex working conditions cannot be fully and accurately assessed due to the limitations of a single detection method, further affecting the reliability of damage identification, by providing a damage assessment method, device and storage medium for a pressure swing adsorption device. The technical goal of achieving multi-modal quantitative detection is to achieve comprehensive and accurate monitoring of adsorber damage, improve the reliability of damage identification, and thus effectively extend the service life of the equipment and ensure the safe operation of the equipment.

[0017] Below, the technical solutions in the present application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments of the present application. It should be understood that the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application. It should also be noted that, for the convenience of description, only the parts related to the present application are shown in the accompanying drawings, rather than all of them.

[0018] For example, please refer to the attached Figure 1The present application provides a damage assessment method for a pressure swing adsorption device, which is applied to a damage assessment device for a pressure swing adsorption device, and specifically comprises the following steps:

[0019] Step 1: collect operating data of the pressure swing adsorption device in real time through a sensor system, input the operating data into a damage assessment model to perform state monitoring on the pressure swing adsorption device, and obtain state monitoring results.

[0020] Specifically, the operating data of the pressure swing adsorption device is collected in real time through the sensor system. First, the sensor can monitor and record the working parameters of each key component in the device, such as pressure, temperature, flow rate and gas concentration, etc. These data can reflect the actual operation of the device. For example, when the gas flow rate of the adsorption bed decreases, it may mean that its adsorption capacity decreases or there is a blockage problem. Then, these real-time collected operating data are input into the damage assessment model. The damage assessment model can identify whether there are signs of damage or failure of the equipment by analyzing the input data. For example, when the temperature and pressure of the adsorption bed fluctuate abnormally, the model may determine that it is agglomerated or damaged. Finally, the output results of the damage assessment model are used for status monitoring. The system can evaluate the health status of the equipment and generate monitoring results. For example, when the health status score of the equipment is lower than the set threshold, the system may issue an early warning to remind the operator to perform maintenance or adjustments.

[0021] Step 2: Perform damage pattern recognition based on the monitoring results in the state monitoring results to obtain damage pattern data.

[0022] Specifically, according to the monitoring results in the state monitoring results, first, the state monitoring results contain various operating data of the pressure swing adsorption device, such as real-time values ​​of temperature, pressure, flow, etc. These data reflect the working status of the device. Then, by performing damage pattern recognition on these monitoring results, the system can analyze different damage patterns. For example, if pressure fluctuations occur when the equipment is operating under high temperature conditions, this may be a sign of damage to the sealing ring. By analyzing the data change trends in the monitoring results, the system can identify the potential causes of damage behind these changes. Damage pattern data refers to data information obtained during the analysis process that indicates the type of equipment damage, such as possible sealing ring damage, adsorption bed blockage or other internal faults. Through these damage pattern data, maintenance personnel can be further guided to take corresponding repair measures to ensure the normal operation of the equipment.

[0023] Step three: Perform health status assessment based on the damage pattern data to obtain a health assessment result.

[0024] Specifically, to conduct a health status assessment based on the damage pattern data, it is first necessary to understand that the damage pattern data is obtained by monitoring and analyzing the operating status of the equipment, and it can reveal the specific damage of the equipment. By inputting these damage pattern data into the health status assessment model, the system will evaluate its current health status in combination with the normal operating standards of the equipment. For example, if the device's sensor detects that the temperature is too high or the pressure is too low, these damage pattern data will be used to determine whether the equipment has excessive wear or damage. The result of the health status assessment is based on these analysis data to draw a conclusion on whether the equipment needs maintenance and whether it can continue to operate safely.

[0025] Step 4: Continuously monitor the pressure swing adsorption device based on the health assessment results.

[0026] Specifically, the continuous monitoring of the pressure swing adsorption device according to the health assessment results means that after completing the preliminary health status assessment, the system will decide whether the pressure swing adsorption device needs to be monitored for a long time and continuously based on the assessment results. For example, if the assessment results show that the health of the device is high, you can choose to reduce the monitoring frequency and only check it during critical periods. However, if the assessment results show that the health is low, it is necessary to increase the monitoring frequency, and various operating parameters of the device, such as temperature, pressure, and flow, may be tracked in real time. The purpose of continuous monitoring is to identify potential problems in advance before the equipment fails, thereby avoiding sudden shutdown or major damage to the equipment. Through this continuous monitoring, it is possible to ensure that the equipment remains stable during long-term operation, detect possible failures in time, and take corresponding maintenance measures, thereby extending the service life of the equipment.

[0027] The damage assessment method for a pressure swing adsorption device is applied to a damage assessment device for a pressure swing adsorption device, and can achieve the technical goal of multi-modal quantitative detection, achieve comprehensive and accurate monitoring of adsorber damage, and improve the reliability of damage identification, thereby effectively extending the service life of the equipment and ensuring the technical effect of safe operation of the equipment.

[0028] Furthermore, the present application also includes: introducing an adaptive calibration mapping relationship, identifying the device status of the initial sensor system by collecting real-time data, and obtaining the real-time status, wherein the adaptive calibration mapping includes a mapping relationship between device data and device status; based on the real-time status, identifying the device health of the initial sensor system to obtain a sensor repair strategy; repairing the initial sensor system according to the sensor repair strategy to obtain the sensor system.

[0029] Specifically, the adaptive calibration mapping relationship is a dynamic adjustment mechanism that calibrates the device based on real-time data to ensure that the error between the device's measurement results and the actual state is minimized. By collecting real-time data, the system can reflect the current working status of the device, such as temperature, pressure, or vibration information. Then, through device status recognition technology, the system infers the actual operating status of the device based on this data, such as whether the device is normal and whether there are signs of failure. The real-time status refers to the health and performance status of the device at the current moment. For example, if the temperature of the device exceeds the set range, the system will determine it as an abnormal state. Adaptive calibration mapping provides a mechanism that can adjust and optimize device monitoring in real time by mapping the relationship between the device's operating data and status, thereby ensuring the accuracy of device status monitoring.

[0030] After obtaining the real-time status, the system performs a health assessment based on the current status of the device, for example, analyzing whether the temperature and pressure of the device are within the normal operating range. If the health status of the device shows a potential risk of failure, the system will start the device health identification program to evaluate whether the device needs to be repaired. The sensor repair strategy is a solution proposed by the system to improve or restore the function of the sensor. For example, if a sensor drifts and causes inaccurate data, the system may recommend recalibrating or replacing the sensor. The implementation of this strategy helps ensure the accuracy and reliability of the device and avoids the overall performance of the device being affected by sensor failure.

[0031] After developing a sensor repair strategy, the actual repair work is performed. For example, the repair strategy may involve cleaning the device's sensors, recalibrating them, or replacing damaged sensor components. Through these repair measures, the system is able to restore the sensor's functionality so that it can once again provide accurate data output. Ultimately, the repaired sensor system returns to normal operation, ensuring that the device can continue to monitor and control various operating parameters to achieve long-term stable operation of the device.

[0032] Furthermore, the present application also includes: collecting historical operating data and fault records to construct the damage assessment model, wherein the damage assessment model includes a pressure analysis channel, a temperature analysis channel, a flow analysis channel and a concentration analysis channel; extracting pressure fluctuations according to the operating data, inputting them into the pressure analysis channel, and performing pressure fluctuation analysis to obtain pressure monitoring results; extracting temperature fluctuations according to the operating data, inputting them into the temperature analysis channel, and performing temperature fluctuation analysis to obtain temperature monitoring results; extracting gas flow according to the operating data, inputting them into the flow analysis channel, and performing gas flow analysis to obtain flow monitoring results; extracting gas concentration according to the operating data, inputting them into the concentration analysis channel, and performing gas concentration analysis to obtain concentration monitoring results; combining the pressure monitoring results, the temperature monitoring results, the flow monitoring results and the concentration monitoring results to obtain the state monitoring results.

[0033] Specifically, collecting historical operation data refers to data obtained from the long-term operation of equipment or systems. These data can reflect the working performance of the equipment in different time periods. For example, historical records of pressure, temperature, flow and other indicators of equipment operation can help us understand the normal and abnormal status of the equipment. At the same time, fault records refer to relevant information when a fault occurs during the operation of the equipment, such as the type of fault, time of occurrence, duration, etc. This information helps to analyze potential problems that may exist in the equipment. By collecting this data, a damage assessment model can be constructed, which includes different analysis channels, such as pressure, temperature, flow and concentration analysis channels. These channels correspond to the monitoring and analysis of different parameters in the equipment, and the role of each channel is to conduct in-depth analysis of specific variables to evaluate the health status of the equipment.

[0034] Next, during the damage assessment process, the pressure fluctuation information is first extracted based on the historical operating data. Pressure fluctuation refers to the change in pressure value over time during the operation of the equipment. If the pressure change exceeds the normal range of the equipment design, it may cause damage to the equipment. After extracting these fluctuation data, they are input into the pressure analysis channel, which is specifically used to analyze the law of pressure changes. By analyzing the pressure fluctuations, the system can identify whether the equipment has abnormal pressure fluctuations, and then obtain the pressure monitoring results. These results help assess whether the equipment is at risk of damage due to abnormal pressure.

[0035] Temperature fluctuation refers to the change in the temperature of the equipment during operation. For example, if the temperature of the equipment fluctuates too high for a period of time, this may cause damage to the equipment. By extracting temperature fluctuation information from historical operation data and inputting it into the temperature analysis channel for detailed analysis, the system can identify abnormal temperature trends or situations. Finally, after temperature fluctuation analysis, the system can obtain temperature monitoring results, which helps to determine whether the equipment is within the normal temperature range, thereby ensuring the safe operation of the equipment.

[0036] Gas flow fluctuation refers to the change in gas flow over time during the operation of the equipment. If the flow fluctuation exceeds the normal range, it may mean that there is a problem with a component of the equipment. By extracting flow data from historical operation data and inputting it into the flow analysis channel, the system can perform a detailed analysis of the flow. Flow analysis can help the monitoring system identify whether there are flow anomalies and determine whether the equipment is in normal operation. Ultimately, the analysis results will provide flow monitoring results to help evaluate the health of the equipment.

[0037] Changes in gas concentration may affect the efficiency of the equipment or reflect problems such as leakage or blockage within the system. By extracting gas concentration information from the operating data and inputting it into the concentration analysis channel, the system will analyze the concentration change trend. This process can help identify whether the gas concentration is within the normal range, obtain concentration monitoring results, and further help determine whether the equipment has a risk of failure.

[0038] Finally, the system will conduct a comprehensive analysis of the results obtained from pressure monitoring, temperature monitoring, flow monitoring, and concentration monitoring. By combining the monitoring results of these different parameters, the system can comprehensively evaluate the status of the equipment. If any of the parameters is abnormal, the system will issue a warning that the equipment may have a potential failure risk. Combining the analysis of multiple monitoring results can more accurately reflect the overall health of the equipment, thereby providing strong support for maintenance and repair.

[0039] Furthermore, the present application also includes: performing valve deformation detection on the pressure swing adsorption device to obtain a first detection result; performing pipeline and joint connection stability evaluation on the pressure swing adsorption device to obtain a second detection result; performing adsorption bed structure wear identification on the pressure swing adsorption device to obtain a third detection result; performing an airtightness detection on the first detection result, the second detection result and the third detection result according to an airtightness judgment threshold, and collecting the operation data based on the airtightness result.

[0040] Specifically, the valve in the pressure swing adsorption device is an important component for controlling gas flow, and its deformation may cause gas flow restriction or equipment failure. Valve deformation detection is to measure and analyze the geometric shape of the valve to check whether it has been deformed due to pressure, temperature changes or other external factors. The detection method may include using sensors, displacement meters and other tools to collect valve deformation data in real time to ensure that it can still work normally. The first test result obtained is the degree of valve deformation, which can reflect whether the valve needs to be repaired or replaced.

[0041] Secondly, the pipe and joint connection of the pressure swing adsorption device is a key part to ensure smooth gas flow. The stability of the pipe and joint is related to the air tightness and overall operating efficiency of the system. The stability evaluation of the pipe connection includes checking whether the pipe has cracks, looseness, leakage and other problems, while the stability of the joint connection is to ensure that all connection parts are not leaking, loose or falling off. Through pressure testing, vibration analysis and other methods, it can be determined whether the pipes and joints can withstand long-term workloads to ensure the safe operation of the equipment. The second test result obtained is the stability evaluation result of the pipe and joint connection, which helps to evaluate the reliability and maintenance needs of the equipment.

[0042] Next, the adsorption bed is the core component of the pressure swing adsorption device, and its main function is to adsorb impurities in the gas. During long-term use, the adsorption bed may wear, resulting in reduced adsorption efficiency and even affecting the overall performance of the equipment. Therefore, the identification of adsorption bed structural wear is to check the surface, pores and overall structure of the adsorption bed to determine whether there are cracks, breakage, aging and other phenomena. The degree of wear of the adsorption bed can be obtained in real time through methods such as vibration analysis, acoustic wave detection or temperature monitoring. The third test result is the evaluation data on the wear of the adsorption bed, which can help determine whether the adsorption bed needs to be replaced to restore the adsorption effect of the equipment.

[0043] Finally, airtightness is an important indicator for evaluating the safety and efficiency of pressure swing adsorption devices. According to the preset airtightness judgment threshold, the system will combine the first test results, the second test results, and the third test results to evaluate the airtightness status of the entire equipment. If the valve deformation, pipe joint stability, and adsorption bed wear meet the airtightness requirements, it means that the equipment can maintain good sealing performance and avoid gas leakage; if the test results show that there is a problem, the airtightness judgment will warn the equipment that there may be a risk of leakage. Based on the airtightness judgment results, the system further collects data related to the operation of the equipment for real-time monitoring and early warning to ensure the normal operation of the equipment.

[0044] Furthermore, the present application also includes: extracting pressure monitoring results based on the state monitoring results, identifying adsorption bed blockage of the pressure swing adsorption device according to preset pressure fluctuations, and obtaining adsorption bed monitoring results; extracting temperature monitoring results based on the state monitoring results, performing adsorption and desorption function detection on the pressure swing adsorption device according to a preset temperature range, and obtaining function monitoring results; extracting flow monitoring results and concentration monitoring results based on the state monitoring results, identifying adsorbent agglomeration of the pressure swing adsorption device according to a preset downward trend, and obtaining adsorbent monitoring results; combining the adsorption bed monitoring results, the function monitoring results and the adsorbent monitoring results to obtain the damage pattern data.

[0045] Specifically, through the pressure data extracted from the status monitoring results, it is possible to monitor whether there are abnormal pressure fluctuations in the system. Pressure fluctuations may indicate that the adsorption bed is clogged or blocked, which usually leads to restricted gas flow and reduced equipment efficiency. By comparing the preset pressure fluctuation range, if the monitored pressure fluctuation exceeds the normal range, it can be determined whether the adsorption bed is clogged. After the adsorption bed blockage is identified, the system will output the adsorption bed monitoring results and provide diagnostic information on whether the equipment is clogged.

[0046] Secondly, in a pressure swing adsorption device, adsorption and desorption usually need to be carried out under specific temperature conditions, so monitoring of temperature fluctuations is crucial. By extracting temperature data from the status monitoring results, it is possible to determine whether the device is within the preset temperature range. If the temperature exceeds the normal operating range, it may affect the adsorption and desorption process and cause equipment malfunction. Therefore, the system will analyze the temperature data and perform adsorption and desorption function tests based on the preset temperature range. Based on the test results, the system can output the function monitoring results to determine whether the device is working properly.

[0047] Next, the flow monitoring results can reflect the flow state of the gas, while the concentration monitoring results can reflect the gas purification effect during the adsorption process. If the flow or concentration drops abnormally, it may be due to adsorbent agglomeration, resulting in a decrease in the performance of the adsorption device. Therefore, by analyzing the flow and concentration monitoring data and comparing them with the preset downward trend, the system can identify whether there is adsorbent agglomeration. Adsorbent agglomeration will affect the adsorption efficiency of the gas, so by identifying this phenomenon, the system can obtain adsorbent monitoring results to guide equipment maintenance.

[0048] Finally, damage pattern data is important information that reflects the overall health of the pressure swing adsorption unit. By combining the results of the adsorption bed monitoring, the functional monitoring results, and the adsorbent monitoring results, a comprehensive assessment of the operating status of the equipment can be made. For example, if the adsorption bed is blocked, the function is affected by temperature fluctuations, and the adsorbent is agglomerated, all of these problems will affect the overall efficiency and life of the equipment. By comprehensively analyzing these monitoring data, the system can obtain an accurate damage pattern data to determine whether the equipment has potential failures or damage.

[0049] Furthermore, the present application also includes: based on the preset temperature range, extracting the temperature change trend of the pressure swing adsorption device to identify adsorption anomalies and obtain leakage detection results; identifying poor heat transfer of the pressure swing adsorption device according to the internal structure, and verifying the leakage detection result to obtain a leakage verification result; using the leakage verification result as the functional monitoring result.

[0050] Specifically, temperature change is a very critical parameter in the pressure swing adsorption device because temperature directly affects the efficiency of the adsorption and desorption processes. The system will monitor according to the preset temperature range. If the temperature change trend exceeds the preset normal range, it means that there may be an abnormality. For example, when the equipment is running, the temperature usually changes with the progress of adsorption and desorption. If the temperature changes too quickly or too slowly, it may be that gas leakage during the adsorption process has caused abnormal heat exchange. By extracting the temperature change trend of the equipment, the system can identify whether there is an adsorption anomaly and generate a leak detection result based on this identification result.

[0051] Next, the internal structure of the pressure swing adsorption unit will affect its heat transfer efficiency. If the heat transfer system inside the device is defective or poorly designed, it will lead to uneven temperature distribution or low heat transfer efficiency, which will affect the performance of the entire adsorption process. By analyzing the internal structure of the device, the system can identify whether there is poor heat transfer. Poor heat transfer may aggravate the leakage problem of the device, so it is necessary to verify the leak detection results in the previous step. If the device has heat transfer problems, then the leak detection results may not be accurate. By verifying the leak detection results, the system can get a more accurate leak verification result to ensure whether the device has a real leak problem.

[0052] Finally, the leakage verification result is one of the important bases for equipment health monitoring. The leakage verification result can not only confirm whether the equipment has a leakage problem, but also reflect the overall functional status of the equipment. If the leakage verification result shows that the equipment has a leakage problem, the function of the equipment may be seriously affected, resulting in reduced work efficiency or reduced safety. Therefore, the leakage verification result is directly used as a functional monitoring result to provide a basis for judging whether the equipment is operating normally.

[0053] Furthermore, the present application also includes: obtaining health status impact based on the damage pattern data and configuring damage weights; performing weighted calculation of the damage pattern data according to the damage weights to obtain a health status score; and using the health status score as the health assessment result.

[0054] Specifically, in the condition monitoring of the pressure swing adsorption device, the damage mode data reflects the health status of each part of the equipment. For example, different parts of the equipment, such as adsorption beds, valves, pipelines, etc., may suffer different types of damage during long-term operation. Each damage mode may have different impacts on the overall health of the equipment. At this time, we need to configure the damage weight according to the specific impact of each damage mode. The damage weight refers to the importance of different types of damage when evaluating the health status of the equipment. If a certain damage mode has a greater impact on the performance of the equipment, then its damage weight will be higher. By obtaining these damage mode data and their corresponding impacts, we can help us more accurately evaluate the health status of the equipment.

[0055] Based on the configured damage weights, we perform a weighted calculation on the data for each damage mode. The weighted calculation process is to multiply the data for each damage mode by its corresponding damage weight and then add up the results. This calculation allows us to obtain a comprehensive health score that reflects the overall health of the device. For example, if a component has a large damage weight and the damage level of the component is high, then the component will have a greater impact on the health score, causing the health score of the device to decrease. Through this weighted method, the health score can comprehensively reflect the health of each component of the device.

[0056] Finally, the health status score obtained through weighted calculation is the health assessment result, which provides an important basis for the repair and maintenance of the equipment. This score can help managers determine the current health status of the equipment and decide whether repairs or replacement of parts are needed. For example, if the health status score is low, it means that the equipment has more damage and needs to be repaired or inspected; if the score is high, it means that the health of the equipment is good and may not require immediate intervention. The health assessment results provide a quantitative reference for equipment management through this scoring system.

[0057] In summary, the damage assessment method for a pressure swing adsorption device provided in the present application has the following technical effects: operating data of the pressure swing adsorption device is collected in real time through a sensor system, and the operating data is input into a damage assessment model to perform state monitoring on the pressure swing adsorption device to obtain state monitoring results; damage pattern recognition is performed based on the monitoring results in the state monitoring results to obtain damage pattern data; health status assessment is performed based on the damage pattern data to obtain health assessment results; and continuous monitoring of the pressure swing adsorption device is performed based on the health assessment results. That is to say, by achieving the technical goal of multimodal quantitative detection, the adsorber damage can be comprehensively and accurately monitored, and the reliability of damage identification can be improved, thereby effectively extending the service life of the equipment and ensuring the safe operation of the equipment.

[0058] Embodiment 2: Based on the damage assessment method of the pressure swing adsorption device in the above embodiment, the present application also provides a damage assessment device for the pressure swing adsorption device, see the attached Figure 2 , including: a state monitoring module 11, the state monitoring module 11 is used to collect the operating data of the pressure swing adsorption device in real time through the sensor system, input the operating data into the damage assessment model to perform state monitoring on the pressure swing adsorption device, and obtain a state monitoring result; a damage pattern recognition module 12, the damage pattern recognition module 12 is used to perform damage pattern recognition according to the monitoring results in the state monitoring results, and obtain damage pattern data; a health status assessment module 13, the health status assessment module 13 is used to perform health status assessment based on the damage pattern data, and obtain a health assessment result; a continuous monitoring module 14, the continuous monitoring module 14 is used to perform continuous monitoring of the pressure swing adsorption device according to the health assessment result.

[0059] Furthermore, the damage assessment device of the pressure swing adsorption device is also used to: introduce an adaptive calibration mapping relationship, identify the device status of the initial sensor system by collecting real-time data, and obtain the real-time status, wherein the adaptive calibration mapping includes a mapping relationship between device data and device status; identify the device health of the initial sensor system based on the real-time status to obtain a sensor repair strategy; repair the initial sensor system according to the sensor repair strategy to obtain the sensor system.

[0060] Furthermore, the damage assessment device of the pressure swing adsorption device is also used to: collect historical operating data and fault records to construct the damage assessment model, wherein the damage assessment model includes a pressure analysis channel, a temperature analysis channel, a flow analysis channel and a concentration analysis channel; extract pressure fluctuations according to the operating data, input them into the pressure analysis channel, and perform pressure fluctuation analysis to obtain pressure monitoring results; extract temperature fluctuations according to the operating data, input them into the temperature analysis channel, and perform temperature fluctuation analysis to obtain temperature monitoring results; extract gas flow according to the operating data, input them into the flow analysis channel, and perform gas flow analysis to obtain flow monitoring results; extract gas concentration according to the operating data, input them into the concentration analysis channel, and perform gas concentration analysis to obtain concentration monitoring results; and obtain the state monitoring results by combining the pressure monitoring results, the temperature monitoring results, the flow monitoring results and the concentration monitoring results.

[0061] Furthermore, the damage assessment device of the pressure swing adsorption device is also used to: perform valve deformation detection on the pressure swing adsorption device to obtain a first detection result; perform pipeline and joint connection stability evaluation on the pressure swing adsorption device to obtain a second detection result; perform adsorption bed structure wear identification on the pressure swing adsorption device to obtain a third detection result; perform airtightness detection on the first detection result, the second detection result and the third detection result according to an airtightness judgment threshold, and collect the operation data based on the airtightness result.

[0062] Furthermore, the damage assessment device of the pressure swing adsorption device is also used to: extract pressure monitoring results based on the state monitoring results, identify adsorption bed blockage of the pressure swing adsorption device according to preset pressure fluctuations, and obtain adsorption bed monitoring results; extract temperature monitoring results based on the state monitoring results, perform adsorption and desorption function detection on the pressure swing adsorption device according to a preset temperature range, and obtain function monitoring results; extract flow monitoring results and concentration monitoring results based on the state monitoring results, identify adsorbent agglomeration of the pressure swing adsorption device according to a preset downward trend, and obtain adsorbent monitoring results; combine the adsorption bed monitoring results, the function monitoring results and the adsorbent monitoring results to obtain the damage pattern data.

[0063] Furthermore, the damage assessment device of the pressure swing adsorption device is also used to: based on the preset temperature range, extract the temperature change trend of the pressure swing adsorption device to identify adsorption anomalies and obtain leakage detection results; identify poor heat transfer of the pressure swing adsorption device according to the internal structure, and verify the leakage detection result to obtain a leakage verification result; use the leakage verification result as the function monitoring result.

[0064] Furthermore, the damage assessment device of the pressure swing adsorption device is also used to: obtain the health status impact based on the damage pattern data and configure the damage weight; perform weighted calculation of the damage pattern data according to the damage weight to obtain the health status score; and use the health status score as the health assessment result.

[0065] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The damage assessment method for the pressure swing adsorption device and the specific examples in the aforementioned embodiment 1 are also applicable to the damage assessment device for the pressure swing adsorption device of this embodiment. Through the aforementioned detailed description of the damage assessment method for the pressure swing adsorption device, those skilled in the art can clearly understand the damage assessment device for the pressure swing adsorption device of this embodiment, so for the sake of brevity of the specification, it will not be described in detail here.

[0066] Embodiment 3, based on the same inventive concept as the damage assessment method for a pressure swing adsorption device in the aforementioned embodiment, the present application further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed, the steps of the damage assessment method for a pressure swing adsorption device described in any one of the aforementioned embodiments are implemented.

[0067] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

[0068] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application belong to the scope of the present application and its equivalent technology, the present application is also intended to include these modifications and variations.

Claims

1. A damage assessment method for a pressure swing adsorption device, characterized in that: include: Collecting operation data of the pressure swing adsorption device in real time through a sensor system, inputting the operation data into a damage assessment model to perform condition monitoring on the pressure swing adsorption device, and obtaining condition monitoring results; Perform damage pattern recognition according to the monitoring results in the state monitoring results to obtain damage pattern data; Perform health status assessment based on the damage pattern data to obtain a health assessment result; The pressure swing adsorption device is continuously monitored based on the health assessment results.

2. The damage assessment method for a pressure swing adsorption device according to claim 1, characterized in that: include: Introducing an adaptive calibration mapping relationship, identifying the device state of the initial sensor system by collecting real-time data, and obtaining the real-time state, wherein the adaptive calibration mapping includes a mapping relationship between the device data and the device state; Performing device health identification on the initial sensor system based on the real-time status to obtain a sensor repair strategy; The initial sensor system is repaired according to the sensor repair strategy to obtain the sensor system.

3. The damage assessment method for a pressure swing adsorption device according to claim 1, characterized in that: Obtain condition monitoring results, including: Collecting historical operation data and fault records to construct the damage assessment model, wherein the damage assessment model includes a pressure analysis channel, a temperature analysis channel, a flow analysis channel, and a concentration analysis channel; Extracting pressure fluctuations according to the operation data, inputting the pressure fluctuations into the pressure analysis channel, and performing pressure fluctuation analysis to obtain pressure monitoring results; Extracting temperature fluctuations according to the operating data, inputting the data into the temperature analysis channel, and performing temperature fluctuation analysis to obtain temperature monitoring results; Extracting gas flow according to the operation data, inputting the gas flow into the flow analysis channel, and performing gas flow analysis to obtain flow monitoring results; Extracting gas concentration according to the operation data, inputting the gas concentration into the concentration analysis channel, and performing gas concentration analysis to obtain concentration monitoring results; The state monitoring result is obtained by combining the pressure monitoring result, the temperature monitoring result, the flow monitoring result and the concentration monitoring result.

4. The damage assessment method for a pressure swing adsorption device according to claim 3, characterized in that: Obtaining status monitoring results, previously included: Performing valve deformation detection on the pressure swing adsorption device to obtain a first detection result; Evaluating the connection stability of pipelines and joints of the pressure swing adsorption device to obtain a second test result; Performing adsorption bed structure wear identification on the pressure swing adsorption device to obtain a third detection result; Perform airtightness detection on the first detection result, the second detection result and the third detection result according to an airtightness judgment threshold, and collect the operation data based on the airtightness results.

5. The damage assessment method for a pressure swing adsorption device according to claim 1, characterized in that: Performing damage pattern recognition according to the monitoring results in the state monitoring results to obtain damage pattern data includes: Extracting pressure monitoring results based on the state monitoring results, identifying adsorption bed blockage of the pressure swing adsorption device according to preset pressure fluctuations, and obtaining adsorption bed monitoring results; Extracting temperature monitoring results based on the state monitoring results, performing adsorption and desorption function detection on the pressure swing adsorption device according to a preset temperature range, and obtaining function monitoring results; Extracting flow monitoring results and concentration monitoring results based on the state monitoring results, identifying adsorbent agglomeration of the pressure swing adsorption device according to a preset downward trend, and obtaining adsorbent monitoring results; The damage mode data is obtained by combining the adsorption bed monitoring results, the function monitoring results and the adsorbent monitoring results.

6. The damage assessment method for a pressure swing adsorption device according to claim 5, characterized in that: Performing adsorption and desorption function testing on the pressure swing adsorption device according to a preset temperature range to obtain function monitoring results, including: Based on the preset temperature range, extracting the temperature change trend of the pressure swing adsorption device to identify adsorption anomalies and obtain leakage detection results; Identify poor heat transfer of the pressure swing adsorption device according to the internal structure, and verify the leakage detection result to obtain a leakage verification result; The leakage verification result is used as the function monitoring result.

7. The damage assessment method for a pressure swing adsorption device according to claim 1, characterized in that: Performing a health status assessment based on the damage pattern data to obtain a health assessment result includes: Acquire health status impact based on the damage pattern data and configure damage weight; Perform weighted calculation on the injury pattern data according to the injury weight to obtain a health status score; The health status score is used as the health assessment result.

8. A damage assessment device for a pressure swing adsorption device, characterized in that: The steps for implementing the damage assessment method of the pressure swing adsorption device according to any one of claims 1 to 7 include: A state monitoring module, which is used to collect operating data of the pressure swing adsorption device in real time through a sensor system, input the operating data into a damage assessment model to perform state monitoring on the pressure swing adsorption device, and obtain a state monitoring result; A damage pattern recognition module, wherein the damage pattern recognition module is used to perform damage pattern recognition according to the monitoring results in the state monitoring results to obtain damage pattern data; A health status assessment module, the health status assessment module is used to perform health status assessment based on the damage pattern data to obtain a health assessment result; A continuous monitoring module is used to continuously monitor the pressure swing adsorption device according to the health assessment result.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed, the steps of the damage assessment method for a pressure swing adsorption device according to any one of claims 1 to 7 are implemented.

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