CN119803988A - Damage assessment method, device and storage medium for pressure swing adsorption device - Google Patents
Damage assessment method, device and storage medium for pressure swing adsorption device Download PDFInfo
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Abstract
本申请提供了变压吸附装置的损伤评估方法、装置及存储介质，涉及损伤评估技术领域，包括：通过传感器系统实时采集变压吸附装置的运行数据，将运行数据输入损伤评估模型对变压吸附装置进行状态监测，获取状态监测结果；根据状态监测结果中的监测结果进行损伤模式识别，获得损伤模式数据；基于损伤模式数据进行健康状态评估，获得健康评估结果；根据健康评估结果进行变压吸附装置的持续监测。通过本申请可以解决现有技术中存在由于单一检测手段的局限性，导致无法全面、准确地评估吸附器在复杂工况下的实际损伤情况的技术问题，实现多模态量化检测的技术目标，达到全面、精确监测吸附器损伤，提高损伤识别的可靠性的技术效果。
The present application provides a damage assessment method, device and storage medium for a pressure swing adsorption device, and relates to the field of damage assessment technology, including: collecting the 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 the 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. The present application can solve 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, realize the technical goal of multi-modal quantitative detection, and achieve the technical effect of comprehensively and accurately monitoring adsorber damage and improving the reliability of damage identification.
Description
Technical Field
The application relates to the technical field of damage evaluation, in particular to a damage evaluation method and device of a pressure swing adsorption device and a storage medium.
Background
With the rapid development of the industrial and energy fields, the adsorber is used as an important device and is widely applied to occasions such as gas separation, storage, purification and the like. The use of adsorbers, especially in hydrogen-rich environments, is becoming increasingly common. However, the hydrogen-rich environment has increasingly significant impact on fatigue damage to the adsorber material, and the specificity of this environment makes the adsorber susceptible to performance degradation during long-term operation, even leading to equipment failure, making the reliability and safety of the adsorber a significant challenge.
Currently, existing damage detection methods focus on monitoring a single parameter, such as temperature, pressure, or vibration. However, these single detection methods often fail to fully and accurately evaluate the actual damage condition of the adsorber under complex working conditions. Particularly, under the combined action of a hydrogen-rich environment and alternating load, a single detection means is difficult to comprehensively reflect the evolution process of the damage. Therefore, comprehensive evaluation is urgently needed by adopting a mode of combining multiple detection technologies, and different damage modes of the absorber are monitored in real time, so that the accuracy and the sensitivity of damage detection are improved. These detection techniques enable quantitative analysis of adsorbers from multiple dimensions, providing more accurate data support for damage assessment.
In summary, the technical problem in the prior art is that the practical damage condition of the adsorber under the complex working condition cannot be comprehensively and accurately estimated due to the limitation of a single detection means, and the reliability of damage identification is further affected.
Disclosure of Invention
The application aims to provide a damage evaluation method, a device and a storage medium of a pressure swing adsorption device, which are used for solving the technical problems that the actual damage condition of an adsorber under a complex working condition cannot be comprehensively and accurately evaluated due to the limitation of a single detection means in the prior art, and the reliability of damage identification is further influenced.
In view of the above, the present application provides a method, apparatus and storage medium for evaluating damage of a pressure swing adsorption apparatus.
The application provides a damage assessment method of a pressure swing adsorption device, which is realized by the damage assessment device of the pressure swing adsorption device and comprises the steps of 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 state monitoring on the pressure swing adsorption device to obtain a state monitoring result, performing damage mode identification according to the 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 performing continuous monitoring on the pressure swing adsorption device according to the health assessment result.
The application further provides a damage assessment device of the pressure swing adsorption device, which is used for executing the damage assessment method of the pressure swing adsorption device according to the first aspect, and comprises a state monitoring module, a damage pattern recognition module, a health state assessment module and a continuous monitoring module, wherein the state monitoring module is used for acquiring operation data of the pressure swing adsorption device in real time through a sensor system, inputting the operation data into the damage assessment model to perform state monitoring on the pressure swing adsorption device to obtain a state monitoring result, the damage pattern recognition module is used for performing damage pattern recognition according to the monitoring result in the state monitoring result to obtain damage pattern data, the health state assessment module is used for performing health state assessment based on the damage pattern data to obtain a health assessment result, and the continuous monitoring module is used for performing continuous monitoring on the pressure swing adsorption device according to the health assessment result.
In a third aspect, a computer readable storage medium has stored thereon a computer program that, when executed, implements the steps of the method for evaluating damage to a pressure swing adsorption apparatus of any one of the first aspects above.
The technical scheme provided by the application has at least the following technical effects or advantages that the operation data of the pressure swing adsorption device are acquired in real time through the sensor system, the operation data are input into the damage evaluation model to perform state monitoring on the pressure swing adsorption device, a state monitoring result is obtained, damage mode identification is performed according to the monitoring result in the state monitoring result to obtain damage mode data, health state evaluation is performed based on the damage mode data to obtain health evaluation result, continuous monitoring of the pressure swing adsorption device is performed according to the health evaluation result, namely, the technical aim of multi-mode quantitative detection is achieved, the comprehensive and accurate monitoring of the damage of the adsorber is achieved, the reliability of damage identification is improved, and therefore the service life of equipment is effectively prolonged, and the technical effect of safe operation of the equipment is guaranteed.
The foregoing description is only an overview of the present application, and is intended to be implemented in accordance with the teachings of the present application in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present application more readily apparent. It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the application or to delineate the scope of the application. Other features of the present application will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the application or the technical solutions of the prior art, the following brief description will be given of the drawings used in the description of the embodiments or the prior art, it being obvious that the drawings in the description below are only exemplary and that other drawings can be obtained from the drawings provided without the inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of a method for evaluating damage to a pressure swing adsorption apparatus according to the present application;
fig. 2 is a schematic structural diagram of a damage evaluation device of the pressure swing adsorption device of the present application.
Reference numerals illustrate the status monitoring module 11, the damage pattern recognition module 12, the health status assessment module 13, and the continuous monitoring module 14.
Detailed Description
The application solves the technical problems that the actual damage condition of an absorber under a complex working condition cannot be comprehensively and accurately estimated due to the limitation of a single detection means in the prior art, and the reliability of damage identification is further affected by providing the damage estimation method, the device and the storage medium of the pressure swing adsorption device. The technical aim of multi-mode quantitative detection is achieved, the damage of the absorber is comprehensively and accurately monitored, and the reliability of damage identification is improved, so that the service life of equipment is effectively prolonged, and the technical effect of safe operation of the equipment is guaranteed.
In the following, the technical solutions of the present application will be clearly and completely described with reference to the accompanying drawings, and it should be understood that the described embodiments are only some embodiments of the present application, but not all embodiments of the present application, and that the present application is not limited by the exemplary embodiments described herein. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application. It should be further noted that, for convenience of description, only some, but not all of the drawings related to the present application are shown.
Referring to fig. 1, the application provides a damage evaluation method for a pressure swing adsorption device, which is applied to the damage evaluation device of the pressure swing adsorption device, and specifically includes the following steps:
The method comprises the steps of collecting operation data of the pressure swing adsorption device in real time through a sensor system, inputting the operation data into a damage evaluation model to perform state monitoring on the pressure swing adsorption device, and obtaining a state monitoring result.
Specifically, the sensor system is used for collecting the operation data of the pressure swing adsorption device in real time, firstly, the sensor can monitor and record the working parameters of each key component in the device, such as pressure, temperature, flow, gas concentration and the like, and the data can reflect the actual operation condition of the device. For example, when the gas flow rate of an adsorbent bed is reduced, it may mean that its adsorption capacity is reduced or that there is a plugging problem. Then, the operation data collected in real time are input into a damage evaluation model, and the damage evaluation model can identify whether the equipment has damage or fault signs by analyzing the input data. For example, when abnormal fluctuations in temperature and pressure of the adsorbent bed occur, the model may determine that it is agglomerated or damaged. Finally, the state monitoring is carried out through the output result of the damage evaluation model, and the system can evaluate the health state of the equipment and generate a monitoring result. For example, when the health status score of the device is below a set threshold, the system may issue an early warning, alerting the operator to make a repair or adjustment.
And secondly, carrying out damage mode identification according to the monitoring result in the state monitoring results to obtain damage mode data.
Specifically, according to the monitoring result of the state monitoring results, first, the state monitoring results include various operation data of the pressure swing adsorption device, such as real-time values of temperature, pressure, flow rate, and the like. These data reflect the operating state of the device. Then, by performing damage pattern recognition on these monitoring results, the system can analyze different damage patterns. For example, if the device is operated at high temperature, pressure fluctuations occur, which may be an indication of damage to the seal ring. By analyzing the trend of the data changes in the monitoring results, the system can identify the potential damage cause behind those changes. Damage pattern data refers to data information derived during analysis that indicates the type of equipment damage, such as possible seal ring damage, adsorbent bed plugging, or other internal failures. Through the damage mode data, maintenance personnel can be further guided to take corresponding repair measures, and normal operation of equipment is ensured.
And thirdly, carrying out health state evaluation based on the damage mode data to obtain a health evaluation result.
Specifically, the health state evaluation is performed based on the damage mode data, and the damage mode data is firstly required to be known to be obtained through monitoring and analyzing the running state of the equipment, so that the specific damage condition of the equipment can be revealed. By entering these damage pattern data into the health assessment model, the system will assess its current health status in combination with the normal operating criteria of the device. For example, if the sensors of the device detect excessive temperatures or low pressures, the damage pattern data may be used to determine if the device is excessively worn or damaged. The result of the health status assessment is based on these analysis data to draw conclusions as to whether the device needs maintenance or can continue to operate safely.
And fourthly, continuously monitoring the pressure swing adsorption device according to the health evaluation result.
Specifically, the continuous monitoring of the pressure swing adsorption device according to the health evaluation result means that after the preliminary health state evaluation is completed, the system determines whether the pressure swing adsorption device needs to be monitored for a long time and continuously according to the evaluation result. For example, if the evaluation result shows that the device health is high, the monitoring frequency may be selected to be reduced, and only during critical periods of time. However, if the evaluation result shows that the health degree is low, the monitoring frequency needs to be increased, and various operation parameters of the device, such as temperature, pressure, flow rate and the like, may be tracked in real time. The purpose of the continuous monitoring is to identify potential problems ahead of time before the device fails, thereby avoiding abrupt shut down or significant damage to the device. Through the continuous monitoring, the equipment can be ensured to be kept stable in the long-time operation process, possible faults can be found in time, corresponding maintenance measures can be taken, and the service life of the equipment is prolonged.
The damage evaluation method of the pressure swing adsorption device is applied to the damage evaluation device of the pressure swing adsorption device, can realize the technical aim of multi-mode quantitative detection, achieves the technical effects of comprehensively and accurately monitoring the damage of the adsorber, and improves the reliability of damage identification, thereby effectively prolonging the service life of equipment and ensuring the safe operation of the equipment.
The method comprises the steps of acquiring real-time data, acquiring a real-time state of an initial sensor system, acquiring a real-time state, acquiring a self-adaptive calibration mapping relation, acquiring a sensor repair strategy, and repairing the initial sensor system according to the sensor repair strategy, wherein the self-adaptive calibration mapping relation comprises a mapping relation between the device data and the device state, the initial sensor system is subjected to device health identification based on the real-time state, and the sensor system is acquired.
Specifically, the adaptive calibration mapping is a dynamic adjustment mechanism that calibrates the device according to real-time data, ensuring that errors between the device's measurement results and the actual state are minimized. By collecting real-time data, the system can reflect the current working state of the equipment, such as temperature, pressure or vibration information. Then, by means of the device status recognition technique, the system deduces from these data the actual operating conditions of the device, such as whether the device is normal or whether there is a sign of failure. The real-time state refers to the health and performance status of the device at the current time, for example, if the temperature of the device exceeds a set range, the system may determine it as an abnormal state. The self-adaptive calibration mapping is to provide a mechanism capable of adjusting and optimizing equipment monitoring in real time by mapping the relation between the operation data and the state of the equipment, so as to ensure the accuracy of equipment state monitoring.
After obtaining the real-time status, the system performs health assessment based on the current status of the device, e.g., analyzing whether the temperature, pressure of the device is within normal operating range. If the health of the device shows a potential risk of failure, the system initiates a device health identification procedure to evaluate whether the device needs repair. Sensor repair strategies are a system-proposed solution aimed at improving or restoring the function of the sensor. For example, if the sensor drifts, resulting in inaccurate data, the system may recommend recalibration or replacement of the sensor. Implementation of this strategy helps to ensure accuracy and reliability of the device, avoiding affecting the overall performance of the device due to sensor failure.
After the sensor repair strategy is formulated, the actual repair work is performed next. For example, the sensors of the device may be cleaned, recalibrated, or replaced for damaged sensor components in accordance with a repair strategy. By these repair measures, the system is able to restore the function of the sensor so that it can re-provide accurate data output. And finally, restoring the normal operation of the repaired sensor system, and ensuring that the equipment can continuously monitor and control various working parameters so as to realize long-term stable operation of the equipment.
The method comprises the steps of collecting historical operation data and fault records, constructing a damage assessment model, extracting pressure fluctuation according to the operation data, inputting the pressure fluctuation to the pressure analysis channel, carrying out pressure fluctuation analysis, obtaining a pressure monitoring result, extracting temperature fluctuation according to the operation data, inputting the temperature fluctuation to the temperature analysis channel, carrying out temperature fluctuation analysis, obtaining a temperature monitoring result, extracting gas flow according to the operation data, inputting the gas flow to the flow analysis channel, carrying out gas flow analysis, obtaining a flow monitoring result, extracting gas concentration according to the operation data, inputting the gas concentration to the concentration analysis channel, carrying out gas concentration analysis, obtaining a concentration monitoring result, and combining the pressure monitoring result, the temperature monitoring result, the flow monitoring result and the concentration monitoring result to obtain the state monitoring result.
In particular, the collection of historical operating data refers to data obtained from the long-term operation of a device or system that is capable of reflecting the performance of the device over different time periods. For example, a history of indicators such as pressure, temperature, flow, etc. of the operation of the device, which can help us understand the normal and abnormal conditions of the device. Meanwhile, the fault record refers to relevant information when the equipment fails in the running process, such as fault type, occurrence time, duration time and the like. This information contributes to the potential problems that the analysis device may have. By collecting this data, a lesion assessment model can be constructed that includes various analysis channels, such as pressure, temperature, flow and concentration analysis channels. The channels respectively correspond to the monitoring and analysis of different parameters in the equipment, and each channel has the function of carrying out deep analysis on specific variables so as to evaluate the health state of the equipment.
Next, in the damage evaluation process, information of pressure fluctuation is first extracted from the historical operation data. Pressure fluctuations refer to the change in pressure values over time during operation of the device. If the pressure changes outside the normal range of the design of the device, damage to the device may result. After extracting these fluctuation data, they are input to a pressure analysis channel, which is dedicated to analyzing the law of variation of pressure. By analyzing the pressure fluctuation, the system can identify whether the equipment has abnormal pressure fluctuation, and then a pressure monitoring result is obtained. These results help assess the risk of damage to the equipment due to pressure anomalies.
Temperature fluctuations refer to changes in the temperature of the device during operation, which may lead to damage to the device, for example, if the device fluctuates too much during a certain period of time. The system can identify trends or conditions of temperature anomalies by extracting temperature fluctuation information from historical operating data and inputting the temperature fluctuation information to a temperature analysis channel for detailed analysis. Finally, after temperature fluctuation analysis, the system can obtain a temperature monitoring result, which is helpful for judging whether the equipment is in a normal temperature range, so that safe operation of the equipment is ensured.
The fluctuation of the gas flow refers to the change of the gas flow with time during the operation of the device. If the flow fluctuation exceeds the normal range, this may mean that a problem arises with a certain component of the apparatus. By extracting flow data from the historical operational data and inputting it into the flow analysis channel, the system is able to analyze the flow in detail. The flow analysis can help the monitoring system identify whether a flow abnormality exists, thereby judging whether the device is in a normal operation state. Eventually, the analysis results will provide flow monitoring results that help assess the health of the device.
The change in gas concentration may affect the operating efficiency of the device or reflect problems such as leakage or clogging inside the system. By extracting the gas concentration information in the operation data and inputting the information to the concentration analysis channel, the system will analyze the trend of the concentration change. This process can help identify if the gas concentration is in the normal range, obtain concentration monitoring results, and further help determine if the equipment is at risk of failure.
Finally, the system performs comprehensive analysis on the results obtained from the pressure monitoring, the temperature monitoring, the flow monitoring and the concentration monitoring. By combining the monitoring results of these different parameters, the system is able to comprehensively evaluate the status of the device. If any of the parameters are abnormal, the system will give a warning to indicate that the device may be at risk of potential failure. By combining analysis of a plurality of monitoring results, the overall health condition of the equipment can be reflected more accurately, so that powerful support is provided for maintenance and repair.
The method comprises the steps of detecting valve deformation of a pressure swing adsorption device to obtain a first detection result, evaluating connection stability of a pipeline and a joint of the pressure swing adsorption device to obtain a second detection result, identifying abrasion of an adsorption bed structure of the pressure swing adsorption device to obtain a third detection result, detecting air tightness of the first detection result, the second detection result and the third detection result according to an air tightness judging threshold value, and collecting operation data based on the air tightness result.
In particular, valves in pressure swing adsorption units are important components to control gas flow, and deformation thereof may lead to gas flow restrictions or equipment failure. Valve deformation detection is performed by measuring and analyzing the geometry of the valve to check whether it has deformed due to pressure, temperature changes or other external factors. The detection method can include the steps of using a sensor, a displacement meter and other tools to collect deformation data of the valve in real time, so that the valve can still work normally. The first detection result is the deformation degree of the valve, and the result can reflect whether the valve needs maintenance or replacement.
Secondly, the piping and joint connection of the pressure swing adsorption apparatus is a critical part to ensure smooth gas flow. The stability of the piping and fittings is related to the tightness of the system and the overall operating efficiency. The stability evaluation of the pipe connection includes checking whether the pipe has problems such as cracks, looseness, leakage and the like, while the stability of the joint connection is ensured to ensure that all the connection parts have no leakage, looseness or falling. By means of pressure test, vibration analysis and other methods, whether the pipeline and the joint can bear long-time work load or not can be judged, and safe operation of equipment is ensured. The second test result obtained is then the result of evaluating the stability of the pipe and joint connection, which contributes to the evaluation of the reliability and maintenance requirements of the device.
The adsorbent bed is then the core component of the pressure swing adsorption apparatus, whose primary function is to adsorb impurities from the gas. During long-term use, the adsorbent bed may wear, resulting in reduced adsorption efficiency and even affecting the overall performance of the device. Therefore, the abrasion identification of the adsorption bed structure is to check the surface, pores and the whole structure of the adsorption bed to judge whether the phenomena of crack, breakage, aging and the like exist. The abrasion degree of the adsorption bed can be obtained in real time through methods such as vibration analysis, sound wave detection or temperature monitoring. The third detection result is the evaluation data about the abrasion condition of the adsorbent bed, and can help to judge whether the adsorbent bed needs to be replaced or not so as to restore the adsorption effect of the equipment.
Finally, tightness is an important indicator for evaluating the safety and efficiency of pressure swing adsorption devices. And according to a preset air tightness judging threshold, the system evaluates the air tightness state of the whole equipment by combining the first detection result, the second detection result and the third detection result. If the deformation of the valve, the stability of the pipeline joint and the abrasion degree of the adsorption bed meet the air tightness requirements, the equipment can maintain good sealing performance and avoid gas leakage, and if the detection result shows that the problem exists, the air tightness judgment can warn the equipment that the leakage risk possibly exists. Based on the air tightness judging result, the system further collects data related to the operation of the equipment so as to monitor and early warn in real time and ensure the normal operation of the equipment.
The method comprises the steps of detecting the adsorption bed blockage of the pressure swing adsorption device according to preset pressure fluctuation, detecting the adsorption and desorption functions of the pressure swing adsorption device according to a preset temperature range, detecting the functions, detecting the agglomeration of the adsorbent according to a preset descending trend, detecting the agglomeration of the adsorbent, detecting the adsorbent, and obtaining the damage mode data by combining the adsorption bed monitoring result, the function monitoring result and the adsorbent monitoring result.
Specifically, by the pressure data extracted from the state monitoring result, it is possible to monitor whether or not there is a pressure abnormality fluctuation in the system. Pressure fluctuations may indicate plugging or unsmooth adsorption beds, which often result in limited gas flow and reduced plant efficiency. By comparing the preset pressure fluctuation range, if the monitored pressure fluctuation exceeds the normal range, whether the adsorption bed is blocked or not can be judged. After the adsorption bed blockage is identified, the system can output an adsorption bed monitoring result to provide diagnosis information of whether the equipment is blocked or not.
Second, in pressure swing adsorption units, adsorption and desorption are typically required to be performed under specific temperature conditions, and therefore monitoring of temperature fluctuations is critical. By extracting temperature data from the state monitoring results, it can be judged whether the apparatus is within a preset temperature range. If the temperature exceeds the normal operating range, the adsorption and desorption process may be affected, resulting in malfunction of the apparatus. Therefore, the system analyzes the temperature data and detects the adsorption and desorption functions according to a preset temperature range. According to the detection result, the system can output a function monitoring result to judge whether the equipment works normally.
Then, the flow rate monitoring result can reflect the flowing state of the gas, and the concentration monitoring result can reflect the purifying effect of the gas in the adsorption process. If an abnormal drop in flow or concentration occurs, it may be due to agglomeration of the adsorbent, resulting in a drop in the performance of the adsorption apparatus. Therefore, by analyzing the flow and concentration monitoring data and comparing with a preset trend down, the system can identify whether there is an adsorbent agglomeration phenomenon. The agglomeration of the adsorbent affects the adsorption efficiency of the gas, so that the system can obtain the monitoring result of the adsorbent by identifying the phenomenon, so as to guide the maintenance of equipment.
Finally, the damage pattern data is important information reflecting the overall health status of the pressure swing adsorption apparatus. By combining the adsorption bed monitoring result, the function monitoring result and the adsorbent monitoring result, the operation state of the apparatus can be comprehensively evaluated. For example, if the adsorbent bed becomes clogged, the function is affected by temperature fluctuations, and the adsorbent becomes agglomerated, all of these problems affect the overall operating efficiency and life of the apparatus. By comprehensively analyzing the monitoring data, the system can obtain accurate damage mode data for judging whether potential faults or damage exists in the equipment.
The method further comprises the steps of extracting the temperature change trend of the pressure swing adsorption device based on the preset temperature range to conduct adsorption abnormality identification to obtain a leakage detection result, conducting heat transfer failure identification of the pressure swing adsorption device according to an internal structure, verifying the leakage detection result to obtain a leakage verification result, and taking the leakage verification result as the function monitoring result.
In particular, temperature variation is a very critical parameter in pressure swing adsorption units, as temperature directly affects the efficiency of the adsorption and desorption processes. The system monitors according to a preset temperature range, and if the temperature change trend exceeds a preset normal range, the system indicates that an abnormal condition may exist. For example, when the apparatus is operating, the temperature will typically vary with the progress of adsorption and desorption, and if the temperature varies too fast or too slow, it may be that gas leakage during adsorption causes abnormal heat exchange. By extracting the temperature change trend of the equipment, the system can identify whether adsorption abnormality exists or not, and a leakage detection result is generated according to the identification result.
The internal structure of the pressure swing adsorption apparatus, in turn, affects its heat transfer efficiency. If the heat transfer system inside the apparatus has defects or poor design, uneven temperature distribution or low heat transfer efficiency may result, thereby affecting the performance of the whole adsorption process. By analyzing the internal structure of the device, the system can identify whether there is a poor heat transfer. Poor heat transfer may exacerbate the leakage problem of the device, and therefore, verification of the leak detection results in the previous step is required. If the device has heat transfer problems, the leak detection results may not be accurate. By verifying the leak detection results, the system can obtain a more accurate leak verification result, ensuring that the device has a true leak problem.
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 leakage problem occurs in the equipment, but also reflect the overall functional state of the equipment. If the leakage verification result indicates that the device has a leakage problem, the function of the device may be seriously affected, resulting in a decrease in the working efficiency or a decrease in the safety. Therefore, the leakage verification result is directly used as a function monitoring result, and a judgment basis for whether the equipment is normally operated is provided.
The health state evaluation method comprises the steps of obtaining health state influence based on the damage mode data, configuring damage weights, carrying out weighted calculation on the damage mode data according to the damage weights to obtain health state scores, and taking the health state scores as health evaluation results.
Specifically, in the condition monitoring of the pressure swing adsorption apparatus, the damage pattern data reflects the health status of the various parts of the apparatus. For example, different components of the apparatus, such as adsorbent beds, valves, piping, etc., may experience different types of damage during long-term operation. Each damage pattern may have a different impact on the overall health of the device, where we need to configure the damage weights according to the specific impact of each damage pattern. The injury weight refers to the degree of importance of different types of injury in assessing the health status of the device. If a certain impairment mode has a greater impact on the performance of the device, its impairment weight will be higher. By acquiring these damage pattern data and their corresponding effects, we can be helped to more accurately assess the health status of the device.
Based on the configured impairment weights, we will weight the data for each impairment mode. The process of weighting calculation is to multiply the data of each damage pattern by its corresponding damage weight and then sum the results. By doing so, we can derive a comprehensive health status score that reflects the overall health of the device. For example, if a component has a high weight of damage and the component is damaged to a higher degree, the component will have a greater impact on the health score, thereby degrading the health score of the device. By means of the weighting mode, the health status score can comprehensively reflect the health status of each component of the equipment.
Finally, the health state score obtained through weighted calculation is a health evaluation result, and provides an important basis for equipment maintenance. This score can help the manager determine the current health of the device and decide whether repair or replacement of the component is needed. For example, if the health status score is lower, indicating that the device is more damaged, repair or inspection is needed, while if the score is higher, indicating that the device is good, immediate intervention may not be needed. The health assessment results provide quantitative reference basis for equipment management through the scoring system.
In summary, the damage assessment method of the pressure swing adsorption device has the following technical effects that operation data of the pressure swing adsorption device are collected in real time through a sensor system, the operation data are input into a damage assessment model to conduct state monitoring on the pressure swing adsorption device, a state monitoring result is obtained, damage mode identification is conducted according to the monitoring result in the state monitoring result, damage mode data are obtained, health state assessment is conducted based on the damage mode data, health assessment results are obtained, continuous monitoring of the pressure swing adsorption device is conducted according to the health assessment results, that is, the technical aim of multi-mode quantitative detection is achieved, comprehensive and accurate monitoring of adsorber damage is achieved, reliability of damage identification is improved, and therefore the service life of equipment is effectively prolonged, and the technical effect of safe operation of the equipment is guaranteed.
In a second embodiment, based on the same concept as the damage assessment method of the pressure swing adsorption apparatus in the previous embodiment, the application further provides a damage assessment apparatus of the pressure swing adsorption apparatus, please refer to fig. 2, which includes a state monitoring module 11, a damage pattern recognition module 12, a health state assessment module 13, a continuous monitoring module 14, and a continuous monitoring module 14, wherein the state monitoring module 11 is used for collecting operation data of the pressure swing adsorption apparatus in real time through a sensor system, inputting the operation data into a damage assessment model to perform state monitoring on the pressure swing adsorption apparatus to obtain a state monitoring result, the damage pattern recognition module 12 is used for performing damage pattern recognition according to the monitoring result in the state monitoring result to obtain damage pattern data, the health state assessment module 13 is used for performing health state assessment based on the damage pattern data to obtain a health assessment result, and the continuous monitoring module 14 is used for performing continuous monitoring on the pressure swing adsorption apparatus according to the health assessment result.
The damage evaluation device of the pressure swing adsorption device is further used for introducing a self-adaptive calibration mapping relation, performing equipment state identification on an initial sensor system through collecting real-time data to obtain a real-time state, wherein the self-adaptive calibration mapping relation comprises the mapping relation between the equipment data and the equipment state, performing equipment health identification on the initial sensor system based on the real-time state to obtain a sensor restoration strategy, and restoring the initial sensor system according to the sensor restoration strategy to obtain the sensor system.
The damage evaluation device of the pressure swing adsorption device is further used for collecting historical operation data and fault records, constructing a damage evaluation model, extracting pressure fluctuation according to the operation data, inputting the pressure fluctuation into the pressure analysis channel, carrying out pressure fluctuation analysis, obtaining a pressure monitoring result, extracting temperature fluctuation according to the operation data, inputting the temperature fluctuation into the temperature analysis channel, carrying out temperature fluctuation analysis, obtaining a temperature monitoring result, extracting gas flow according to the operation data, inputting the gas flow into the flow analysis channel, carrying out gas flow analysis, obtaining a flow monitoring result, extracting gas concentration according to the operation data, carrying out gas concentration analysis, obtaining a concentration monitoring result, and combining the pressure monitoring result, the temperature monitoring result, the flow monitoring result and the concentration monitoring result to obtain the state monitoring result.
The damage evaluation device of the pressure swing adsorption device is further used for detecting valve deformation of the pressure swing adsorption device to obtain a first detection result, evaluating connection stability of a pipeline and a joint of the pressure swing adsorption device to obtain a second detection result, identifying abrasion of an adsorption bed structure of the pressure swing adsorption device to obtain a third detection result, detecting air tightness of the first detection result, the second detection result and the third detection result according to an air tightness judging threshold value, and collecting operation data based on the air tightness result.
The damage evaluation device of the pressure swing adsorption device is further used for extracting a pressure monitoring result based on the state monitoring result, identifying the blockage of an adsorption bed of the pressure swing adsorption device according to preset pressure fluctuation, obtaining an adsorption bed monitoring result, extracting a temperature monitoring result based on the state monitoring result, detecting the adsorption and desorption functions of the pressure swing adsorption device according to a preset temperature range, obtaining a function monitoring result, extracting a flow monitoring result and a concentration monitoring result based on the state monitoring result, identifying the agglomeration of the adsorption agent of the pressure swing adsorption device according to a preset descending trend, obtaining an adsorption agent monitoring result, and combining the adsorption bed monitoring result, the function monitoring result and the adsorption agent monitoring result to obtain the damage mode data.
Further, the damage evaluation device of the pressure swing adsorption device is further used for extracting the temperature change trend of the pressure swing adsorption device based on the preset temperature range to conduct adsorption abnormality recognition and obtain a leakage detection result, conducting heat transfer failure recognition of the pressure swing adsorption device according to an internal structure, verifying the leakage detection result to obtain a leakage verification result, and taking the leakage verification result as the function monitoring result.
Further, the damage assessment device of the pressure swing adsorption device is further used for obtaining health state influence based on the damage mode data and configuring damage weights, carrying out weighted calculation on the damage mode data according to the damage weights to obtain health state scores, and taking the health state scores as health assessment results.
In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the difference from other embodiments, and the damage evaluation method and specific example of the pressure swing adsorption apparatus in the first embodiment are equally applicable to the damage evaluation apparatus of the pressure swing adsorption apparatus of this embodiment, and by the foregoing detailed description of the damage evaluation method of the pressure swing adsorption apparatus, those skilled in the art can clearly know the damage evaluation apparatus of the pressure swing adsorption apparatus of this embodiment, so that, for brevity of the specification, it is not described in detail herein.
In accordance with the same inventive concept as the method for evaluating the damage of the pressure swing adsorption apparatus in the previous embodiment, the present application further provides a computer readable storage medium having a computer program stored thereon, wherein the computer program implements the steps of the method for evaluating the damage of the pressure swing adsorption apparatus in any one of the previous embodiments when executed.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present application without departing from the spirit or scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the present application and the equivalent techniques thereof, the present application is also intended to include such modifications and variations.
Claims (9)
1. The damage assessment method of the pressure swing adsorption device is characterized by comprising the following steps:
Acquiring operation data of the pressure swing adsorption device in real time through a sensor system, inputting the operation data into a damage evaluation model to perform state monitoring on the pressure swing adsorption device, and acquiring a state monitoring result;
performing damage mode identification according to the monitoring results in the state monitoring results to obtain damage mode data;
performing health state evaluation based on the damage mode data to obtain a health evaluation result;
and continuously monitoring the pressure swing adsorption device according to the health evaluation result.
2. The method for evaluating the damage of a pressure swing adsorption apparatus according to claim 1, comprising:
introducing an adaptive calibration mapping relation, and identifying the equipment state of the initial sensor system by collecting real-time data to obtain a real-time state, wherein the adaptive calibration mapping relation comprises the mapping relation between the equipment data and the equipment state;
performing equipment health identification on the initial sensor system based on the real-time state to obtain a sensor repair strategy;
and repairing the initial sensor system according to the sensor repairing strategy to obtain the sensor system.
3. The method for evaluating the damage of a pressure swing adsorption apparatus according to claim 1, wherein obtaining the status monitoring result comprises:
Collecting historical operation data and fault records, and constructing the damage evaluation model, wherein the damage evaluation model comprises a pressure analysis channel, a temperature analysis channel, a flow analysis channel and a concentration analysis channel;
extracting pressure fluctuation according to the operation data, inputting the pressure fluctuation into the pressure analysis channel, and carrying out pressure fluctuation analysis to obtain a pressure monitoring result;
extracting temperature fluctuation according to the operation data, inputting the temperature fluctuation into the temperature analysis channel, and analyzing the temperature fluctuation to obtain a temperature monitoring result;
extracting gas flow according to the operation data, inputting the gas flow into the flow analysis channel, and analyzing the gas flow to obtain a flow monitoring result;
extracting gas concentration according to the operation data, inputting the gas concentration into the concentration analysis channel, and analyzing the gas concentration to obtain a concentration monitoring result;
And combining the pressure monitoring result, the temperature monitoring result, the flow monitoring result and the concentration monitoring result to obtain the state monitoring result.
4. The method for evaluating the damage of a pressure swing adsorption apparatus according to claim 3, wherein the step of obtaining the status monitoring result comprises:
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;
carrying out abrasion identification on the adsorption bed structure of the pressure swing adsorption device to obtain a third detection result;
And detecting the air tightness of the first detection result, the second detection result and the third detection result according to an air tightness judging threshold value, and acquiring the operation data based on the air tightness result.
5. The method for evaluating the damage of a pressure swing adsorption apparatus according to claim 1, wherein the damage pattern recognition is performed according to a monitoring result among the status monitoring results to obtain damage pattern data, comprising:
Extracting a pressure monitoring result based on the state monitoring result, and identifying the blockage of the adsorption bed of the pressure swing adsorption device according to preset pressure fluctuation to obtain the adsorption bed monitoring result;
Extracting a temperature monitoring result based on the state monitoring result, and detecting the adsorption and desorption functions of the pressure swing adsorption device according to a preset temperature range to obtain a function monitoring result;
extracting a flow monitoring result and a concentration monitoring result based on the state monitoring result, and performing adsorbent agglomeration identification on the pressure swing adsorption device according to a preset descending trend to obtain an adsorbent monitoring result;
And combining the adsorption bed monitoring result, the function monitoring result and the adsorbent monitoring result to obtain the damage mode data.
6. The method for evaluating the damage of a pressure swing adsorption apparatus according to claim 5, wherein detecting the adsorption and desorption functions of the pressure swing adsorption apparatus according to a preset temperature range, and obtaining the function monitoring result, comprises:
based on the preset temperature range, extracting the temperature change trend of the pressure swing adsorption device to perform adsorption abnormality identification, and acquiring a leakage detection result;
Performing poor heat transfer identification of the pressure swing adsorption device according to the internal structure, and verifying the leakage detection result to obtain a leakage verification result;
and taking the leakage verification result as the function monitoring result.
7. The method of claim 1, wherein performing a health assessment based on the damage pattern data to obtain a health assessment result comprises:
acquiring health state influence based on the damage mode data, and configuring damage weights;
Performing weighted calculation on the damage mode data according to the damage weight to obtain a health state score;
And scoring the health state as the health assessment result.
8. The damage evaluation device of the pressure swing adsorption device is characterized in that, a step for carrying out the damage assessment method of the pressure swing adsorption apparatus according to any one of claims 1 to 7, comprising:
The state monitoring module is used for acquiring the operation data of the pressure swing adsorption device in real time through the sensor system, inputting the operation data into the damage evaluation model to perform state monitoring on the pressure swing adsorption device, and acquiring a state monitoring result;
the damage mode identification module is used for carrying out damage mode identification according to the monitoring results in the state monitoring results to obtain damage mode data;
The health state evaluation module is used for performing health state evaluation based on the damage mode data to obtain a health evaluation result;
and the continuous monitoring module is used for continuously monitoring the pressure swing adsorption device according to the health evaluation result.
9. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a computer program which, when executed, implements the steps of the damage-assessment method of the pressure swing adsorption apparatus according to any one of claims 1 to 7.
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| CN121016399A (en) * | 2025-10-20 | 2025-11-28 | 江苏悦挚环保科技有限公司 | Air separation pressure swing intelligent adsorption wastewater discharge method, system and device based on pressure curve |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN121016399A (en) * | 2025-10-20 | 2025-11-28 | 江苏悦挚环保科技有限公司 | Air separation pressure swing intelligent adsorption wastewater discharge method, system and device based on pressure curve |
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