Double-cold-trap operation monitoring method, double-cold-trap control system, medium and product

Abstract

The invention discloses a double-cold-trap operation monitoring method, a double-cold-trap control system, a medium and a product, and relates to electric digital data processing.The method comprises the steps that first cold trap temperature and humidity data, first condensate water cumulant, second cold trap temperature and humidity data and second condensate water cumulant are obtained; determining a first cold trap dehumidification efficiency, a second cold trap dehumidification efficiency, a first temperature gradient, a second temperature gradient and a condensate water cumulant change rate; determining a first operation defect of the first cold trap and / or a second operation defect of the second cold trap according to a preset parameter standard value; and based on the first operation defect of the first cold trap and / or the second operation defect of the second cold trap, searching a double-cold-trap processing scheme of which the relevancy is higher than a preset relevancy threshold in a preset operation defect processing scheme database. By implementing the method, the accuracy of double-cold-trap operation monitoring can be improved.

Description

Technical Field

[0001] The present application relates to electrical digital data processing, and in particular to a double cold trap operation monitoring method, a double cold trap control system, a medium and a product. Background Art

[0002] In industrial production processes, especially in environments that require humidity control, the moisture content of the gas directly affects product quality and equipment life. In order to effectively control the moisture in the gas, cold trap equipment has been widely used. Cold trap equipment effectively removes moisture from the air through condensation to ensure product quality and production efficiency.

[0003] At present, the control system of the cold trap equipment monitors temperature and humidity through sensors installed at key locations, and adjusts the operating status of the cold trap equipment based on these data to ensure that the cold trap equipment operates in the best state, thereby maintaining efficient dehumidification performance.

[0004] Although the cold trap equipment operation monitoring method in the related art can improve the dehumidification efficiency to a certain extent, there are still some obvious technical defects. For example, it is difficult to fully capture the humidity distribution and temperature distribution inside the entire cold trap equipment, resulting in the locality and limitation of the monitoring data, making it difficult to make the best operation decision, affecting the performance of the entire cold trap equipment. Summary of the invention

[0005] The present application provides a double cold trap operation monitoring method, a double cold trap control system, a medium and a product for improving the accuracy of double cold trap operation monitoring.

[0006] In a first aspect, the present application provides a dual cold trap operation monitoring method, which is applied to a dual cold trap control system. The method includes: obtaining first cold trap temperature and humidity data, a first condensed water accumulation amount, second cold trap temperature and humidity data, and a second condensed water accumulation amount, the first cold trap temperature and humidity data including a first inlet temperature and a first inlet humidity at the inlet of the first cold trap and a first outlet temperature and a first outlet humidity at the outlet of the first cold trap, the first condensed water accumulation amount is used to indicate the volume of condensed water in the first cold trap, the second cold trap temperature and humidity data including a second inlet temperature and a second inlet humidity at the inlet of the second cold trap and a second outlet temperature and a second outlet humidity at the outlet of the second cold trap, the second condensed water accumulation amount is used to indicate the volume of condensed water in the second cold trap; determining the dehumidification efficiency of the first cold trap according to the first cold trap temperature and humidity data, and determining the dehumidification efficiency of the second cold trap according to the second cold trap temperature and humidity data. The second cold trap dehumidification efficiency, and the first temperature gradient determined according to the first inlet temperature and the first outlet temperature, and the second temperature gradient determined according to the second inlet temperature and the second outlet temperature, and the condensed water accumulation amount change rate determined according to the first condensed water accumulation amount and the second condensed water accumulation amount; the preset parameter standard value is compared with the first cold trap dehumidification efficiency, the second cold trap dehumidification efficiency, the first temperature gradient, the second temperature gradient and the condensed water accumulation amount change rate to determine the first operation defect of the first cold trap and / or the second operation defect of the second cold trap, and the operation defect includes dehumidification efficiency abnormality, temperature gradient abnormality and condensed water abnormality; based on the first operation defect of the first cold trap and / or the second operation defect of the second cold trap, the preset operation defect processing solution database is searched for a dual cold trap processing solution with a correlation higher than a preset correlation threshold.

[0007] By adopting the above technical solution, the dual cold trap control system comprehensively detects the operating status of the dual cold traps, so as to timely discover operating defects such as abnormal dehumidification efficiency, abnormal temperature gradient and abnormal condensed water, so as to quickly match the corresponding dual cold trap treatment plan through the preset operation defect treatment plan database. This monitoring method based on multi-parameter comprehensive analysis not only improves the accuracy of fault diagnosis, but also can optimize the operating status of the dual cold trap in real time, effectively avoiding the misjudgment caused by the locality and limitation of the monitoring data, ensuring the pertinence and feasibility of the dual cold trap treatment plan, and improving the reliability and stability of the dual cold trap operation.

[0008] In combination with some embodiments of the first aspect, in some embodiments, after the step of searching a preset operation defect processing solution database for a dual cold trap processing solution with a correlation higher than a preset correlation threshold based on the first operation defect of the first cold trap and / or the second operation defect of the second cold trap, the method further includes: collecting a first acoustic characteristic signal and a first vibration characteristic signal of the first cold trap, and a second acoustic characteristic signal and a second vibration characteristic signal of the second cold trap; performing time-frequency domain analysis on the first acoustic characteristic signal, the first vibration characteristic signal, the second acoustic characteristic signal, and the second vibration characteristic signal to obtain a first abnormal operating condition characteristic of the first cold trap and a second abnormal operating condition characteristic of the second cold trap; performing multimodal feature fusion on the first abnormal operating condition characteristic with the first operation defect and / or the second abnormal operating condition characteristic with the second operation defect to obtain a multimodal feature fusion result; and updating the multimodal feature fusion result to the dual cold trap processing solution.

[0009] By adopting the above technical solutions, the dual cold trap control system introduces the collection and analysis of acoustic characteristic signals and vibration characteristic signals, realizing multi-dimensional monitoring of the dual cold traps. Time-frequency domain analysis can capture subtle abnormal changes in the dual cold trap during operation, while multimodal feature fusion organically combines physical characteristics such as acoustics and vibrations with operational defects to form a more comprehensive description of fault characteristics. The dual cold trap control system updates the multimodal feature fusion results to the dual cold trap processing solution, realizing continuous optimization and self-improvement of the dual cold trap processing solution. This multi-source information fusion method significantly improves the sensitivity and accuracy of anomaly detection, enabling the dual cold trap to detect potential problems in the early stages of failure.

[0010] In combination with some embodiments of the first aspect, in some embodiments, after the steps of determining the first cold trap dehumidification efficiency according to the first cold trap temperature and humidity data, determining the second cold trap dehumidification efficiency according to the second cold trap temperature and humidity data, determining the first temperature gradient according to the first inlet temperature and the first outlet temperature, determining the second temperature gradient according to the second inlet temperature and the second outlet temperature, and determining the rate of change of the condensed water accumulation amount according to the first condensed water accumulation amount and the second condensed water accumulation amount, the method also includes: constructing a double cold trap operation state vector according to the first cold trap dehumidification efficiency, the second cold trap dehumidification efficiency, the first temperature gradient, the second temperature gradient and the rate of change of the condensed water accumulation amount; performing component analysis on the double cold trap operation state vector to extract main operating characteristics; and establishing a double cold trap performance stability evaluation model based on the main operating characteristics to evaluate the stability of the double cold trap in real time.

[0011] By adopting the above technical solutions, the dual cold trap control system constructs the dual cold trap operation state vector and performs component analysis, realizing in-depth mining of the main operation characteristics of the dual cold trap. The extraction process of the main operation characteristics can effectively reduce the data dimension, highlight key information, and avoid interference from minor factors. The dual cold trap performance stability evaluation model established based on the main operation characteristics can evaluate the stability of the dual cold trap in real time and accurately. This data-driven evaluation method not only improves the objectivity and reliability of the dual cold trap status evaluation, but also provides an important basis for predictive maintenance and optimization control, effectively improving the operation efficiency and reliability of the entire dual cold trap.

[0012] In combination with some embodiments of the first aspect, in some embodiments, after the step of searching a preset operation defect processing solution database for a dual cold trap processing solution with a correlation higher than a preset correlation threshold based on the first operation defect of the first cold trap and / or the second operation defect of the second cold trap, the method further includes: inputting the first cold trap temperature and humidity data and the first condensed water accumulation amount as well as the second cold trap temperature and humidity data and the second condensed water accumulation amount into a dual cold trap fault prediction model respectively to obtain a cold trap fault prediction result; when the cold trap fault prediction result shows that the failure probability is greater than the preset first probability threshold and less than the preset second probability threshold, triggering the first cold trap preventive maintenance process; when the cold trap fault prediction result shows that the failure probability is greater than the preset second probability threshold, triggering the second cold trap preventive maintenance process.

[0013] By adopting the above technical solution, the dual cold trap control system establishes a dual cold trap fault prediction model, and realizes hierarchical early warning and preventive maintenance of dual cold trap faults. By setting two different levels of probability thresholds (i.e., the preset first probability threshold and the preset second probability threshold), the dual cold trap control system can take corresponding levels of maintenance measures according to the cold trap fault prediction results. This hierarchical early warning mechanism can not only effectively prevent dual cold trap failures and reduce the risk of sudden downtime, but also optimize the allocation of maintenance resources and avoid the problem of excessive or insufficient maintenance, thereby improving the service life and operating efficiency of the dual cold trap and reducing maintenance costs.

[0014] In combination with some embodiments of the first aspect, in some embodiments, the method also includes: calculating the collaborative operation index of the first cold trap and the second cold trap in real time; when the collaborative operation index is lower than a preset collaborative index threshold, adjusting the operating parameters of the double cold trap to preset optimal operating parameters.

[0015] By adopting the above technical solution, the dual cold trap control system introduces real-time calculation and monitoring of the collaborative operation index, realizing the collaborative optimization operation of the dual cold traps. When the collaborative operation index is lower than the preset collaborative index threshold, the dual cold trap control system will automatically adjust the operating parameters of the dual cold traps to the preset optimal operating parameters to ensure that the load distribution between the two cold traps is reasonable and the operating efficiency is optimal. This adaptive adjustment mechanism based on the collaborative operation index effectively solves the problems of load imbalance and low efficiency that may occur in the dual cold traps, allowing the dual cold traps to always maintain the best operating state, which not only improves energy utilization efficiency, but also ensures the stability of the dehumidification effect.

[0016] In combination with some embodiments of the first aspect, in some embodiments, the real-time calculation of the collaborative operation index of the first cold trap and the second cold trap specifically includes: obtaining a first operating parameter of the first cold trap and a second operating parameter of the second cold trap, the operating parameters including coolant flow, coolant temperature, coolant pressure and condensate discharge rate; calculating an operating state matrix of the double cold trap according to the first operating parameter and the second operating parameter; performing feature extraction on the operating state matrix to obtain an operating feature vector of the double cold trap device; calculating a feature similarity between the operating feature vector and a preset optimal operating feature vector; performing dynamic weight allocation on the first operating parameter and the second operating parameter according to the feature similarity to obtain a first weight coefficient and a second weight coefficient; determining the collaborative operation index of the first cold trap and the second cold trap based on the first weight coefficient, the second weight coefficient, the dehumidification efficiency of the first cold trap and the dehumidification efficiency of the second cold trap.

[0017] By adopting the above technical solution, the first operating parameter and the second operating parameter of the dual cold trap system are controlled to build a comprehensive collaborative operation evaluation system. This collaborative operation index calculation method based on multi-parameter comprehensive evaluation not only takes into account the overall performance of the dual cold trap, but also takes into account the operating efficiency of the first cold trap and the second cold trap, making the collaborative control of the dual cold trap control system more accurate and efficient, and effectively improving the overall performance and stability of the dual cold trap.

[0018] In combination with some embodiments of the first aspect, in some embodiments, after the step of obtaining the first operating parameter of the first cold trap and the second operating parameter of the second cold trap, the operating parameters including the coolant flow rate, the coolant temperature, the coolant pressure and the condensate discharge rate, the method further includes: obtaining the first energy consumption data of the first cold trap and the second energy consumption data of the second cold trap; determining the energy efficiency of the double cold trap based on the first operating parameter and the first energy consumption data, and the second operating parameter and the second energy consumption data; when the energy efficiency is lower than a preset energy efficiency threshold, determining the cause of the energy efficiency degradation of the double cold trap.

[0019] By adopting the above technical solutions, the dual cold trap control system introduces an energy consumption monitoring and analysis mechanism to achieve energy efficiency optimization of the dual cold trap. This active energy efficiency monitoring and diagnosis mechanism can timely discover problems that affect energy efficiency, so as to determine the cause of energy efficiency degradation of the dual cold trap, thereby providing a specific basis for equipment optimization and energy-saving transformation, which not only helps to reduce operating costs, but also can achieve energy conservation and emission reduction of the dual cold trap, and improve the economy and environmental protection of the dual cold trap.

[0020] In a second aspect, an embodiment of the present application provides a dual cold-trap control system, which includes: one or more processors and a memory; the memory is coupled to the one or more processors, the memory is used to store computer program code, the computer program code includes computer instructions, and the one or more processors call the computer instructions to enable the dual cold-trap control system to execute the method described in the first aspect and any possible implementation method of the first aspect.

[0021] In a third aspect, an embodiment of the present application provides a computer program product comprising instructions. When the computer program product is run on a double cold trap control system, the double cold trap control system executes the method described in the first aspect and any possible implementation method of the first aspect.

[0022] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, comprising instructions. When the instructions are executed on a double cold trap control system, the double cold trap control system executes the method described in the first aspect and any possible implementation method of the first aspect.

[0023] It can be understood that the double cold trap control system provided in the second aspect, the computer program product provided in the third aspect, and the computer storage medium provided in the fourth aspect are all used to execute the method provided in the embodiment of the present application. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects in the corresponding method, which will not be repeated here.

[0024] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. Due to the adoption of an all-round monitoring method based on the temperature and humidity data of the dual cold traps, the accumulation of condensed water, and the fusion of multimodal features, the operating status of the dual cold traps can be captured in real time and accurately, and potential faults can be predicted, which effectively solves the problems of one-sided judgment and lag caused by single parameter monitoring in related technologies, thereby realizing intelligent monitoring and preventive maintenance of the dual cold traps.

[0025] 2. Due to the use of dual cold trap collaborative operation index calculation and dynamic weight distribution mechanism, it is possible to accurately evaluate the operating status of the dual cold trap and realize adaptive adjustment of the operating parameters, which effectively solves the problems of poor coordination and unbalanced load distribution between the dual cold traps in related technologies, thereby achieving overall optimization of the dual cold trap operating efficiency.

[0026] 3. Due to the combination of energy efficiency monitoring and energy efficiency degradation analysis, the energy consumption status of the double cold trap can be monitored in real time and efficiency loss can be discovered in time, which effectively solves the problems of low energy utilization efficiency and extensive energy management in related technologies, thereby achieving energy saving and efficiency improvement of the double cold trap. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 It is a flow chart of a double cold trap operation monitoring method in an embodiment of the present application; Figure 2 This is another schematic flow chart of the double cold trap operation monitoring method in the embodiment of the present application; Figure 3 It is a schematic diagram of the structure of a physical device of a double cold trap control system in an embodiment of the present application. DETAILED DESCRIPTION

[0028] The terms used in the following embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to be used as limitations to the present application. As used in the specification of the present application, the singular expressions "one", "a kind of", "above", "the" and "this" are intended to also include plural expressions, unless there is a clear indication to the contrary in the context. It should also be understood that the term "and / or" used in the present application refers to any or all possible combinations comprising one or more of the listed items.

[0029] In the following, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as suggesting or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features, and in the description of the embodiments of the present application, unless otherwise specified, "plurality" means two or more.

[0030] The following is a description of the process of the method provided by this implementation. Figure 1 , is a flow chart of a double cold trap operation monitoring method in an embodiment of the present application.

[0031] S101, obtaining first cold trap temperature and humidity data, first condensed water accumulation amount, second cold trap temperature and humidity data, and second condensed water accumulation amount, the first cold trap temperature and humidity data including a first inlet temperature and a first inlet humidity at the inlet of the first cold trap and a first outlet temperature and a first outlet humidity at the outlet of the first cold trap, the first condensed water accumulation amount is used to indicate the volume of condensed water in the first cold trap, the second cold trap temperature and humidity data including a second inlet temperature and a second inlet humidity at the inlet of the second cold trap and a second outlet temperature and a second outlet humidity at the outlet of the second cold trap, the second condensed water accumulation amount is used to indicate the volume of condensed water in the second cold trap; Among them, the first cold trap refers to the cold trap device at the front end of the double cold trap equipment, which is used to preliminarily reduce the moisture content in the gas; the second cold trap refers to the cold trap device at the rear end of the double cold trap equipment, which is used to further reduce the moisture content in the gas; the temperature and humidity data represent the temperature and humidity values ​​measured at the inlet and outlet of the cold trap, including the inlet temperature, inlet humidity, outlet temperature and outlet humidity; the accumulated condensed water refers to the volume of condensed water collected during the operation of the cold trap, which is used to characterize the dehumidification effect; the temperature is in degrees Celsius, the humidity is expressed as a percentage of relative humidity, and the accumulated condensed water is in milliliters.

[0032] Specifically, the dual cold trap control system collects the first inlet temperature and the first inlet humidity through the temperature sensor and the humidity sensor set at the inlet of the first cold trap, and collects the first outlet temperature and the first outlet humidity through the temperature sensor and the humidity sensor set at the outlet of the first cold trap; at the same time, the dual cold trap control system monitors the first condensed water accumulation in real time through the liquid level sensor set at the bottom of the first cold trap. The dual cold trap control system collects the second inlet temperature and the second inlet humidity through the temperature sensor and the humidity sensor set at the inlet of the second cold trap, and collects the second outlet temperature and the second outlet humidity through the temperature sensor and the humidity sensor set at the outlet of the second cold trap; at the same time, the dual cold trap control system monitors the second condensed water accumulation in real time through the liquid level sensor set at the bottom of the second cold trap. The sampling period of all sensors is 1 second, and the collected data is transmitted to the dual cold trap control system after filtering.

[0033] S102, determining a first cold trap dehumidification efficiency according to the first cold trap temperature and humidity data, determining a second cold trap dehumidification efficiency according to the second cold trap temperature and humidity data, determining a first temperature gradient according to the first inlet temperature and the first outlet temperature, determining a second temperature gradient according to the second inlet temperature and the second outlet temperature, and determining a condensed water accumulation rate of change according to the first condensed water accumulation amount and the second condensed water accumulation amount; Among them, dehumidification efficiency refers to the ability of the cold trap to reduce the moisture content of the gas, which is expressed as the difference between the inlet humidity and the outlet humidity and the percentage of the inlet humidity; the temperature gradient indicates the degree of temperature change inside the cold trap, which is the difference between the inlet temperature and the outlet temperature; the rate of change of the accumulated condensed water refers to the increase in the volume of condensed water per unit time, which is used to characterize the dynamic characteristics of the dehumidification process; the dehumidification efficiency is expressed as a percentage, the temperature gradient is expressed in degrees Celsius per meter, and the rate of change of the accumulated condensed water is expressed in milliliters per minute.

[0034] Specifically, the first cold trap dehumidification efficiency is determined according to the temperature and humidity data of the first cold trap, and the calculation formula is (first inlet humidity-first outlet humidity) / first inlet humidity×100%, thereby, the double cold trap control system obtains the first cold trap dehumidification efficiency. The calculation formula for determining the second cold trap dehumidification efficiency according to the temperature and humidity data of the second cold trap is (second inlet humidity-second outlet humidity) / second inlet humidity×100%, thereby, the double cold trap control system obtains the second cold trap dehumidification efficiency. The first temperature gradient is determined according to the first inlet temperature and the first outlet temperature, that is, the difference between the first inlet temperature and the first outlet temperature is divided by the length of the cold trap, thereby, the double cold trap control system obtains the first temperature gradient; the second temperature gradient is determined according to the second inlet temperature and the second outlet temperature, that is, the difference between the second inlet temperature and the second outlet temperature is divided by the length of the cold trap, thereby, the double cold trap control system obtains the first temperature gradient. The change rate of the accumulated amount of condensed water is determined according to the first accumulated amount of condensed water and the second accumulated amount of condensed water, that is, the double cold trap control system calculates the volume increment of condensed water in the first cold trap and the volume increment of condensed water in the second cold trap per unit time by continuous sampling, and obtains the change rate of the accumulated amount of condensed water. It should be noted that the double cold trap control system updates the calculation results in real time, and the update cycle is 10 seconds.

[0035] S103, comparing the preset parameter standard value with the first cold trap dehumidification efficiency, the second cold trap dehumidification efficiency, the first temperature gradient, the second temperature gradient and the rate of change of the accumulated amount of condensed water, to determine a first operating defect of the first cold trap and / or a second operating defect of the second cold trap, wherein the operating defect includes abnormal dehumidification efficiency, abnormal temperature gradient and abnormal condensed water; Among them, the preset parameter standard value refers to the ideal value range of the first standard cold trap dehumidification efficiency, the second standard cold trap dehumidification efficiency, the first standard temperature gradient, the second standard temperature gradient and the standard condensed water accumulation rate when the double cold trap equipment is operating normally, which is used as a benchmark for judging the operating status of the double cold trap; the operating defect indicates the abnormal condition that occurs during the operation of the double cold trap equipment, including abnormal dehumidification efficiency, abnormal temperature gradient and abnormal condensed water; the first operating defect indicates the abnormality detected in the first cold trap, and the second operating defect indicates the abnormality detected in the second cold trap.

[0036] A. Abnormal dehumidification efficiency: (1) Frost / ice on the cold trap surface causes a decrease in heat transfer efficiency; (2) The internal blockage of the cold trap affects the gas circulation; (3) The refrigeration system has insufficient refrigeration capacity; (4) Dirt on the cold trap surface reduces heat transfer efficiency; … B. Abnormal temperature gradient: (1) Refrigeration system failure leads to abnormal temperature control; (2) The insulation layer of the cold trap is damaged or ineffective; (3) Uneven distribution inside the cold trap; (4) Temperature sensor failure or deviation; … C. Abnormal condensation water: (1) Condensate discharge is blocked; (2) Leakage of condensate pipe; (3) Condensate collection tank overflows; (4) Faulty condensate discharge valve; (5) The quality of condensed water exceeds the standard.

[0037] … Specifically, first, the dual cold trap control system compares the dehumidification efficiency of the first cold trap with the first standard cold trap dehumidification efficiency (for example, 90%-95%). When the dehumidification efficiency of the first cold trap is lower than the dehumidification efficiency of the first standard cold trap, it is determined that the dehumidification efficiency is abnormal; the dual cold trap control system compares the first temperature gradient with the first standard temperature gradient range (for example, 15-20℃ / m). When the first temperature gradient exceeds the first standard temperature gradient range, it is determined that the temperature gradient is abnormal; the dual cold trap control system compares the condensed water accumulation rate of change with the standard condensed water accumulation rate of change (100-150ml / min). When the condensed water accumulation rate of change is abnormal, it is determined that the condensed water is abnormal. The same comparison method is used for the second cold trap. The dual cold trap control system determines the abnormality type and abnormality level through the set judgment rules (which can be set according to historical data or formulated by experts), and generates corresponding operation defects. The comparison process is performed once a minute to ensure that system abnormalities can be discovered in time.

[0038] S104: Based on the first operation defect of the first cold trap and / or the second operation defect of the second cold trap, searching a preset operation defect processing solution database for a dual cold trap processing solution with a correlation higher than a preset correlation threshold.

[0039] Among them, the preset operation defect processing solution database refers to a data set that stores the corresponding processing solutions for various operation defects, which is used to provide fault handling guidance; the relevance indicates the degree of match between the processing solution and the current operation defect; the preset correlation threshold refers to the minimum standard for judging whether the processing solution is applicable, which is usually set to 0.8; the double cold trap processing solution represents the specific solution measures and operation steps for the current operation defect; the processing solution in the preset operation defect processing solution database contains information such as defect description, processing steps, required tools and expected effects.

[0040] Specifically, first, the dual cold trap control system inputs the detected operation defects (including defect type, severity, location, etc.) into the defect feature extraction module to generate a standardized defect feature description. Then, the dual cold trap control system calculates the correlation between the current operation defect and each treatment solution in the preset operation defect treatment solution database through a feature matching algorithm. Next, the dual cold trap control system screens out treatment solutions with a correlation higher than the preset correlation threshold, and sorts them from high to low according to the correlation. Finally, the dual cold trap control system pushes the sorted treatment solutions to the operator and records the execution effect of the treatment solutions for subsequent optimization of the preset operation defect treatment solution database. The dual cold trap control system supports real-time updating and dynamic optimization of dual cold trap treatment solutions to ensure the practicality and effectiveness of the dual cold trap treatment solutions.

[0041] By adopting the above technical solution, the dual cold trap control system comprehensively detects the operating status of the dual cold traps, so as to timely discover operating defects such as abnormal dehumidification efficiency, abnormal temperature gradient and abnormal condensed water, so as to quickly match the corresponding dual cold trap treatment plan through the preset operation defect treatment plan database. This monitoring method based on multi-parameter comprehensive analysis not only improves the accuracy of fault diagnosis, but also can optimize the operating status of the dual cold trap in real time, effectively avoiding the misjudgment caused by the locality and limitation of the monitoring data, ensuring the pertinence and feasibility of the dual cold trap treatment plan, and improving the reliability and stability of the dual cold trap operation.

[0042] The following is a more detailed description of the process of the method provided by this implementation. Figure 2 , is another flow chart of the double cold trap operation monitoring method in the embodiment of the present application.

[0043] S201, obtaining first cold trap temperature and humidity data, first condensed water accumulation amount, second cold trap temperature and humidity data, and second condensed water accumulation amount, the first cold trap temperature and humidity data including a first inlet temperature and a first inlet humidity at the inlet of the first cold trap and a first outlet temperature and a first outlet humidity at the outlet of the first cold trap, the first condensed water accumulation amount is used to indicate the volume of condensed water in the first cold trap, the second cold trap temperature and humidity data including a second inlet temperature and a second inlet humidity at the inlet of the second cold trap and a second outlet temperature and a second outlet humidity at the outlet of the second cold trap, the second condensed water accumulation amount is used to indicate the volume of condensed water in the second cold trap; For details, please refer to step S101, which will not be described in detail here.

[0044] S202, determining a first cold trap dehumidification efficiency according to the first cold trap temperature and humidity data, determining a second cold trap dehumidification efficiency according to the second cold trap temperature and humidity data, determining a first temperature gradient according to the first inlet temperature and the first outlet temperature, determining a second temperature gradient according to the second inlet temperature and the second outlet temperature, and determining a condensed water accumulation rate of change according to the first condensed water accumulation amount and the second condensed water accumulation amount; For details, please refer to step S102, which will not be described in detail here.

[0045] S203, constructing a dual cold trap operation state vector according to the first cold trap dehumidification efficiency, the second cold trap dehumidification efficiency, the first temperature gradient, the second temperature gradient, and the rate of change of the accumulated amount of condensed water; Among them, the double cold trap operation state vector refers to a multidimensional data set used to characterize the current operation state of the double cold trap device, and uses an N-dimensional vector to represent the first cold trap dehumidification efficiency, the second cold trap dehumidification efficiency, the first temperature gradient, the second temperature gradient and the rate of change of the accumulated condensed water of the double cold trap device; the vector dimension represents the number of operating parameters, which is a 5-dimensional vector in this step; the vector component refers to the standardized value of each operating parameter after standardization, and the value range is 0-1; standardization refers to the mathematical processing process of converting operating parameters of different dimensions into a unified scale to eliminate the influence of dimensions.

[0046] Specifically, first, the dual cold trap control system normalizes five operating parameters: the dehumidification efficiency is normalized by dividing by 100%, the temperature gradient is normalized by dividing by the maximum design temperature difference of 20°C / m, and the condensed water accumulation rate of change is normalized by dividing by the maximum design condensed water accumulation rate of change of 150ml / min. Then, the dual cold trap control system constructs a 5-dimensional vector with the standardized values ​​in the order of [first cold trap dehumidification efficiency, second cold trap dehumidification efficiency, first temperature gradient, second temperature gradient, condensed water accumulation rate of change]. The dual cold trap control system can update the dual cold trap operation state vector every 10 seconds.

[0047] S204, performing component analysis on the double cold trap operation state vector to extract main operation characteristics; Among them, component analysis refers to a mathematical method for dimensionality reduction and feature extraction of multidimensional data, which is used to discover the main features and patterns in the data; the main operating characteristics refer to the key parameter combinations that have a significant impact on the operating status of the double cold trap equipment.

[0048] Specifically, the dual cold trap control system uses the principal component analysis (PCA) method to process the dual cold trap operation state vector: First, the dual cold trap control system centralizes the dual cold trap operation state vector and calculates the covariance matrix. Then, the dual cold trap control system solves the eigenvalues ​​and eigenvectors of the covariance matrix and sorts them by eigenvalue size. Next, the dual cold trap control system calculates the contribution rate of each eigenvector, which refers to the proportion of the variance of the original data explained by a certain eigenvector. When the cumulative contribution rate reaches 85%, the number of main eigenvectors is determined. The cumulative contribution rate represents the sum of the contribution rates of the first N eigenvectors, which is used to determine the number of eigenvectors that need to be retained. Finally, the dual cold trap control system projects the original dual cold trap operation state vector into the main feature space to obtain the feature representation after dimensionality reduction, that is, the main operation characteristics.

[0049] S205, based on the main operating characteristics, establishing a double cold trap performance stability evaluation model to evaluate the stability of the double cold trap in real time; The steps to build a deep learning-based dual cold trap performance stability evaluation model are as follows: First, the dual cold trap control system collects the historical operating parameters of the dual cold trap during the historical operation process (including the historical first cold trap dehumidification efficiency, the historical second cold trap dehumidification efficiency, the historical first temperature gradient, the historical second temperature gradient, and the historical condensed water accumulation rate of change) and the historical stability index. The dual cold trap control system extracts the historical main operating characteristics based on the historical operating parameters. The specific steps can be found in S204, which will not be repeated here. The historical stability index corresponding to the historical operating parameters of the dual cold trap during the historical operation process can be obtained based on expert judgment or machine diagnosis, which is not limited here. The dual cold trap control system stores the collected historical main operating characteristics and the corresponding historical stability index in the data set D, and the format of each data is (historical main operating characteristics, historical stability index). Among them, the historical main operating characteristics are the input features of the model training, and the historical stability index is the output feature of the model training.

[0050] Then, the dual cold-trap control system constructs a LSTM-based recurrent neural network, which includes an input layer, two LSTM hidden layers, a fully connected layer, and an output layer. The input layer inputs the main historical operating characteristics, the number of hidden layer nodes is set to 64, and the number of fully connected layer nodes is set to 32. The output layer outputs the historical stability index.

[0051] Next, the double cold trap control system uses the Adam optimizer, the learning rate is set to 0.001, and the training batch size is 32. It can also be set according to the actual situation and is not limited here. 80% of the historical data is divided into a training set and 20% is divided into a validation set. 100 epochs are trained and the model with the highest accuracy of the validation set is saved. It can also be set according to the actual situation and is not limited here. Epoch is the process in which the training data set passes through the neural network once. In machine learning and deep learning, epoch is a unit used to measure the number of times the entire training set is repeatedly learned. Specifically, when the neural network completes a forward calculation and back propagation process, that is, all data has been processed by the network once, this completes an epoch. The double cold trap control system uses binary cross entropy as the loss function and uses Early Stopping to prevent overfitting. When the value of the loss function exceeds the preset function threshold, the model training is determined to be completed, and the double cold trap performance stability evaluation model is obtained. Early Stopping is a technology in deep learning and machine learning to prevent model overfitting. It determines when to stop training by monitoring the performance of the model on the validation set.

[0052] Finally, the double cold trap control system inputs the input features in the validation set into the double cold trap performance stability evaluation model, and then obtains the predicted output of the double cold trap performance stability evaluation model, and compares the predicted output of the double cold trap performance stability evaluation model with the actual output features in the validation set, and uses some performance indicators such as accuracy, precision, recall, F1 score, mean square error (MSE), etc. to evaluate the performance of the double cold trap performance stability evaluation model. According to the performance of the double cold trap performance stability evaluation model on the validation set, adjust the parameters of the double cold trap performance stability evaluation model, including adjusting the learning rate, changing the model complexity (such as increasing or decreasing the number of layers or nodes of the neural network), modifying the regularization strength, etc. This process may require multiple iterations, each adjustment based on the previous learning results, so as to optimize the double cold trap performance stability evaluation model.

[0053] After establishing the double cold trap performance stability evaluation model, the double cold trap control system can evaluate the stability of the double cold trap equipment based on the main operating characteristics updated in real time.

[0054] S206, comparing the preset parameter standard value with the first cold trap dehumidification efficiency, the second cold trap dehumidification efficiency, the first temperature gradient, the second temperature gradient and the rate of change of the accumulated amount of condensed water, to determine a first operating defect of the first cold trap and / or a second operating defect of the second cold trap, wherein the operating defect includes abnormal dehumidification efficiency, abnormal temperature gradient and abnormal condensed water; For details, please refer to step S103, which will not be described in detail here.

[0055] S207, based on the first operation defect of the first cold trap and / or the second operation defect of the second cold trap, searching a preset operation defect processing solution database for a dual cold trap processing solution with a correlation higher than a preset correlation threshold; For details, please refer to step S104, which will not be described in detail here.

[0056] S208, collecting a first acoustic characteristic signal and a first vibration characteristic signal of the first cold trap, and a second acoustic characteristic signal and a second vibration characteristic signal of the second cold trap; Among them, the acoustic characteristic signal refers to the sound wave signal generated by the double cold trap equipment during operation, which is used to reflect the operating status and fault characteristics of the double cold trap equipment; the vibration characteristic signal represents the mechanical vibration information of the double cold trap equipment during operation, including parameters such as amplitude, frequency and phase.

[0057] Specifically, the dual cold trap control system collects the first acoustic characteristic signal and the first vibration characteristic signal, as well as the second acoustic characteristic signal and the second vibration characteristic signal through acoustic sensors and vibration sensors arranged on the first cold trap and the second cold trap. The sampling frequency of the acoustic sensor is set to 44.1kHz, and the sampling frequency of the vibration sensor is 1kHz. The collected acoustic characteristic signals and vibration characteristic signals are processed by pre-amplification and anti-aliasing filtering. The dual cold trap control system performs 16-bit quantization on the acoustic characteristic signals and vibration characteristic signals to ensure the acquisition accuracy. The collected data is stored according to the timestamp, and the data of each sensor is saved separately. The dual cold trap control system completes a complete signal acquisition cycle every 100 milliseconds and performs real-time data quality checks.

[0058] S209, performing time-frequency domain analysis on the first acoustic characteristic signal, the first vibration characteristic signal, the second acoustic characteristic signal, and the second vibration characteristic signal to obtain a first abnormal operating condition characteristic of the first cold trap and a second abnormal operating condition characteristic of the second cold trap; Among them, time-frequency domain analysis refers to a method of analyzing signals in both time domain and frequency domain at the same time, which is used to extract the dynamic characteristics of signals; abnormal operating condition characteristics represent characteristic indicators that the operating status of the double cold trap deviates from the normal range; time domain analysis refers to the analysis of the characteristics of signals changing over time; frequency domain analysis refers to the analysis of the frequency components of signals.

[0059] Specifically, first, the dual cold trap control system preprocesses the collected acoustic characteristic signals and vibration characteristic signals, including denoising, normalization and segmentation. Secondly, the dual cold trap control system uses wavelet packet transform to perform multi-scale decomposition of the acoustic characteristic signals and vibration characteristic signals to extract time-frequency features. Next, the dual cold trap control system calculates characteristic parameters such as energy distribution and peak frequency of each frequency band. Then, the dual cold trap control system identifies abnormal features in the acoustic characteristic signals and vibration characteristic signals based on the preset normal operating condition feature template. Finally, the dual cold trap control system sorts the identified abnormal features in chronological order and severity.

[0060] S210, performing multimodal feature fusion on the first abnormal operating condition feature and the first operating defect and / or the second abnormal operating condition feature and the second operating defect to obtain a multimodal feature fusion result; Specifically, the dual cold-trap control system uses a deep learning model to fuse abnormal operating conditions and operating defects, including standardization of feature vectors and adaptive adjustment of weight coefficients. Then, the dual cold-trap control system uses an attention mechanism to highlight the impact of important features. Next, the dual cold-trap control system implements nonlinear mapping of features through a multi-layer neural network. Finally, the dual cold-trap control system outputs the multimodal feature fusion result of multimodal feature fusion, where multimodal feature fusion refers to the process of comprehensive analysis of feature information from different sources and different types to improve the accuracy of fault diagnosis. The dual cold-trap control system updates the fusion model parameters every 5 minutes, and the fusion accuracy is not less than 90%.

[0061] S211, updating the multimodal feature fusion result to the double cold trap processing solution; Specifically, first, the dual cold trap control system compares the multimodal feature fusion results with the existing dual cold trap processing scheme to identify the content that needs to be updated. Then, the dual cold trap control system determines the priority of the update based on the credibility of the multimodal feature fusion results. Next. The dual cold trap control system modifies the corresponding parameter settings, control strategies and maintenance plans in the dual cold trap processing scheme. The updated dual cold trap processing scheme takes effect after automatic verification, and the dual cold trap control system saves the update records, including the update time, update content and update reason.

[0062] S212, inputting the first cold trap temperature and humidity data and the first condensed water accumulation amount, and the second cold trap temperature and humidity data and the second condensed water accumulation amount into a double cold trap fault prediction model, respectively, to obtain a cold trap fault prediction result; Among them, the double cold trap fault prediction model refers to a probability model used to predict possible failures of the double cold trap, which is constructed based on a machine learning algorithm; the double cold trap fault prediction result represents the fault type and occurrence probability output by the double cold trap fault prediction model.

[0063] Specifically, first, the dual cold trap control system performs data preprocessing on the temperature and humidity data and the accumulated amount of condensed water, including outlier processing, data standardization and time series alignment. Then, the dual cold trap control system inputs the processed data into the dual cold trap fault prediction model based on the long short-term memory network (LSTM) in a predetermined format. The dual cold trap fault prediction model calculates the types and probabilities of possible faults that may occur in the next 24 hours, and outputs the predicted confidence interval and uncertainty estimate. The dual cold trap control system updates the cold trap fault prediction results once an hour, with a prediction accuracy of not less than 85%, and an early warning lead time of not less than 4 hours. The method of constructing a dual cold trap fault prediction model can be found in step S205, which will not be repeated here.

[0064] S213, when the cold trap fault prediction result shows that the fault probability is greater than a preset first probability threshold and less than a preset second probability threshold, triggering a first cold trap preventive maintenance process; Among them, the preset first probability threshold refers to the lower limit of the failure probability that triggers light preventive maintenance, which is usually set to 60%; the preset second probability threshold refers to the upper limit of the failure probability that requires heavy maintenance, which is usually set to 80%; the first cold trap preventive maintenance process refers to the handling procedure for medium-risk failures.

[0065] Specifically, the dual cold trap control system monitors the cold trap fault prediction results in real time. When the fault probability is greater than the preset first probability threshold and less than the preset second probability threshold (for example, between 60% and 80%), the first preventive maintenance process is automatically triggered. The first preventive maintenance process includes light maintenance items such as detailed inspection of equipment status, performance testing of key components, and replacement of lubricating oil. The dual cold trap control system generates a maintenance work order, records maintenance data in real time during the operator's maintenance process, and evaluates the maintenance effect after completion.

[0066] S214, when the cold trap fault prediction result shows that the fault probability is greater than the preset second probability threshold, triggering the second cold trap preventive maintenance process; Among them, the second cold trap preventive maintenance process refers to the handling procedure for high-risk failures, which includes more comprehensive maintenance measures.

[0067] Specifically, the dual cold trap control system monitors the cold trap failure prediction results in real time. When the failure probability is greater than the preset second probability threshold (for example, greater than 80%), the second preventive maintenance process is immediately activated. The second preventive maintenance process includes heavy maintenance items such as emergency shutdown of equipment, replacement of core components, and comprehensive system overhaul. At the same time, the dual cold trap control system starts the emergency backup system to ensure production continuity, uses an expert guidance system during the maintenance process to ensure maintenance quality, and conducts comprehensive functional testing and performance evaluation after maintenance is completed.

[0068] S215, obtaining a first operating parameter of the first cold trap and a second operating parameter of the second cold trap, the operating parameters including coolant flow, coolant temperature, coolant pressure, and condensed water discharge rate; Among them, the first operating parameter and the second cold trap parameter refer to the key technical indicators that describe the working status of the two cold traps; the coolant flow rate refers to the volume of refrigerant flowing through the cold trap per unit time, which has a direct impact on the refrigeration effect; the coolant temperature refers to the real-time temperature value of the refrigerant circulating in the cold trap, which directly determines the dehumidification effect; the coolant pressure indicates the pressure state of the refrigerant in the double cold trap, which affects the phase change process of the refrigerant; the condensate discharge rate refers to the volume of condensate discharged from the cold trap per unit time, reflecting the dehumidification effect.

[0069] Specifically, the dual cold trap control system collects operating parameters in real time through a high-precision sensor network arranged at key locations of the cold trap: the coolant flow is measured by a Coriolis flowmeter with an accuracy of ±0.1L / min and a measurement range of 0-100L / min; the coolant temperature uses a PT100 platinum resistance temperature sensor with an accuracy of ±0.1℃ and a temperature measurement range of -50℃ to 50℃; the coolant pressure is measured by a pressure transmitter with an accuracy of ±0.01MPa and a range of 0-2MPa; the condensate discharge rate is measured by an electromagnetic flowmeter with an accuracy of ±0.1mL / min and a measurement range of 0-1000mL / min. The dual cold trap control system adopts a distributed data acquisition architecture with a sampling frequency of 10 times per second. The collected data is de-noised by the Kalman filter algorithm and smoothed by the moving average method.

[0070] S216, calculating an operating state matrix of the double cold trap according to the first operating parameter and the second operating parameter; Specifically, the dual cold trap control system organizes the four types of parameters collected into a 4×2 operating status matrix according to a predetermined format, where the operating status matrix refers to a mathematical matrix that organizes multiple operating parameters according to a specific structure. The rows of the operating status matrix correspond to different types of operating parameters (coolant flow, coolant temperature, coolant pressure, and condensate discharge rate), and the columns correspond to two cold traps. The dual cold trap control system uses the minimum-maximum normalization method to process the operating parameters, mapping all data to the [0, 1] interval to eliminate the dimension effect. The dual cold trap control system uses double-precision floating point numbers to store matrix elements, and the matrix elements represent specific parameter values ​​to ensure calculation accuracy. The dual cold trap control system updates the operating status matrix every 5 seconds and saves the historical operating status matrix of the last 24 hours. The dual cold trap control system can also establish a matrix indexing mechanism to support fast retrieval and comparative analysis.

[0071] S217, extracting features from the operating state matrix to obtain an operating feature vector of the double cold trap device; Among them, feature extraction refers to extracting key information that can characterize the characteristics of the double cold trap from the operating state matrix; the operating feature vector represents the mathematical expression of the operating state of the double cold trap.

[0072] Specifically, the method for extracting the running feature vector may refer to step S204.

[0073] S218, calculating the feature similarity between the operation feature vector and a preset optimal operation feature vector; Among them, the preset optimal operating characteristic vector refers to the characteristic performance of the double cold trap equipment under the optimal working conditions; the characteristic similarity indicates the degree of closeness between the current operating characteristic vector and the optimal operating characteristic vector; the similarity calculation method refers to the algorithm for measuring vector similarity.

[0074] Specifically, first, the dual cold-trap control system loads the preset optimal operating feature vector, which comes from the historical best operating conditions. Then, the dual cold-trap control system calculates the feature similarity between the operating feature vector and the preset optimal operating feature vector. A multi-dimensional similarity calculation method can be used: using cosine similarity as the main metric, calculating the cosine value of the angle of the feature vector, and calculating the Euclidean distance as an auxiliary metric, introducing the Mahalanobis distance to consider the correlation between features, using the dynamic time warping (DTW) algorithm to evaluate the similarity of time series features, and using a weighted calculation method based on importance for features of different dimensions. Finally, the dual cold-trap control system obtains the feature similarity between the operating feature vector and the preset optimal operating feature vector.

[0075] S219: dynamically assigning weights to the first operating parameter and the second operating parameter according to the feature similarity to obtain a first weight coefficient and a second weight coefficient; Among them, dynamic weight allocation refers to the process of adjusting the importance of parameters in real time according to the operating conditions of the dual cold traps; the first weight coefficient and the second weight coefficient represent the relative importance of the operating parameters of the two cold traps.

[0076] Specifically, the dual cold-trap control system adopts a dynamic weight allocation algorithm based on fuzzy control: first, a fuzzy rule base of feature similarity and weight is established, including rules such as "if the similarity is very low, increase the weight adjustment step"; second, the Mamdani reasoning method is used to determine the direction and amplitude of the weight adjustment. The weight coefficient range is [0, 1], and the sum of the two weights is always equal to 1. The dual cold-trap control system performs a weight optimization calculation once a minute and finds the optimal weight combination through the gradient descent method. The dual cold-trap control system can introduce an inertia term to prevent drastic fluctuations in weights, and can also set a weight change rate limit, with a single adjustment amplitude not exceeding 10%.

[0077] S220, determining a collaborative operation index of the first cold trap and the second cold trap based on the first weight coefficient, the second weight coefficient, the first cold trap dehumidification efficiency, and the second cold trap dehumidification efficiency; Specifically, the dual cold trap control system adopts a multi-level collaborative operation index calculation method, in which the collaborative operation index refers to a comprehensive indicator for evaluating the collaborative working effect of the dual cold traps. First, the dual cold trap control system performs weighted calculations on the weight coefficient and the dehumidification efficiency of each cold trap. Secondly, the dual cold trap control system introduces a temperature gradient correction factor to consider the influence of ambient temperature on the dehumidification effect. Next, the dual cold trap control system uses a comprehensive evaluation model based on the entropy weight method to integrate multiple performance indicators, while considering auxiliary indicators such as energy efficiency and operation stability. Then, the dual cold trap control system uses a neural network model to establish a nonlinear mapping relationship. The dual cold trap control system updates the collaborative operation index once a minute, with an index range of [0, 100], and divides the collaborative operation status into five levels according to the collaborative operation index: excellent (90-100), good (80-90), general (70-80), poor (60-70) and poor (below 60).

[0078] S221, when the synergistic operation index is lower than a preset synergistic index threshold, adjusting the operating parameters of the double cold trap to preset optimal operating parameters; Among them, the preset synergy index threshold refers to the pre-set minimum synergy operation level, which is used to trigger parameter adjustment; the preset optimal operating parameters represent the parameter combination when the dual cold trap has the best performance in historical operation, including key indicators such as coolant flow, coolant temperature, coolant pressure and condensate discharge rate.

[0079] Specifically, the dual cold trap control system retrieves the template of the preset optimal operating parameters, and adjusts the operating parameters of the dual cold trap to the preset optimal operating parameters when the collaborative operation index is lower than the preset collaborative index threshold. After the adjustment is completed, a 2-hour observation period begins, during which the dual cold trap control system continuously monitors changes in the collaborative operation index. If the collaborative operation index fails to rise to the preset collaborative index threshold, the deep optimization process is initiated.

[0080] S222, obtaining first energy consumption data of the first cold trap and second energy consumption data of the second cold trap; The first energy consumption data and the second energy consumption data refer to the energy consumption records of two cold traps; the energy consumption data include electricity consumption, refrigerant consumption, etc.

[0081] Specifically, the dual cold trap control system collects energy consumption data through smart meters and sensor networks arranged at preset positions of the first cold trap and the second cold trap to obtain first energy consumption data and second energy consumption data.

[0082] S223, determining the energy consumption efficiency of the double cold trap based on the first operating parameter and the first energy consumption data, and the second operating parameter and the second energy consumption data; Specifically, the dual cold trap control system adopts a multi-dimensional energy efficiency evaluation method: first, the cooling capacity of each cold trap is calculated, taking into account the refrigerant enthalpy difference and mass flow rate; second, the temperature and humidity sensor data and air volume data are combined when calculating the dehumidification capacity; then, a correction model that takes into account the influence of ambient temperature and humidity is established. The dual cold trap control system calculates the energy efficiency every 15 minutes, where energy efficiency refers to the cooling capacity or dehumidification capacity generated per unit energy consumption.

[0083] S224: When the energy consumption efficiency is lower than a preset energy consumption efficiency threshold, determine the cause of energy efficiency degradation of the double cold trap.

[0084] Among them, the cause of energy efficiency degradation refers to the specific factors that lead to the decline in energy efficiency of double cold trap equipment; the preset energy consumption efficiency threshold represents the minimum acceptable energy efficiency level.

[0085] Specifically, the dual cold-trap control system initiates a multi-level energy efficiency degradation diagnosis process: first, a hierarchical model of degradation causes is established through fault tree analysis (FTA); then, a fault diagnosis algorithm based on deep learning is used to identify abnormal patterns; and then, a fuzzy reasoning system is used to evaluate the probability of various possible causes. The dual cold-trap control system divides the degradation causes into three categories: equipment failure, parameter deviation, and improper control strategy; for equipment failure, the focus is on checking compressor efficiency, heat exchanger frost, refrigerant leakage and other problems; for parameter deviation, the degree of deviation of parameters such as temperature, pressure, and flow is analyzed; regarding control strategy, the adaptability of the current control algorithm is evaluated.

[0086] Due to the adoption of an all-round monitoring method based on the temperature and humidity data of the dual cold traps, the accumulated amount of condensed water, and the fusion of multimodal features, the operating status of the dual cold traps can be captured in real time and accurately, and potential faults can be predicted, which effectively solves the problems of one-sided judgment and lag caused by single parameter monitoring in related technologies, thereby realizing the intelligent monitoring and preventive maintenance of the dual cold traps.

[0087] Due to the adoption of dual cold trap collaborative operation index calculation and dynamic weight distribution mechanism, it is possible to accurately evaluate the operating status of the dual cold trap and realize adaptive adjustment of the operating parameters, which effectively solves the problems of poor coordination and unbalanced load distribution between the dual cold traps in related technologies, thereby achieving overall optimization of the dual cold trap operating efficiency.

[0088] Due to the adoption of a method that combines energy efficiency monitoring with energy efficiency degradation analysis, the energy consumption status of the double cold trap can be monitored in real time and efficiency loss can be discovered in a timely manner, which effectively solves the problems of low energy utilization efficiency and extensive energy management in related technologies, thereby achieving energy saving and efficiency improvement of the double cold trap.

[0089] The following describes the dual cold trap control system in the embodiment of the present invention from the perspective of hardware processing. Figure 3 , is a schematic diagram of a physical device structure of a double cold trap control system in an embodiment of the present application.

[0090] It should be noted that Figure 3 The structure of the dual cold trap control system shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0091] like Figure 3 As shown, the double cold trap control system includes a central processing unit (CPU) 301, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 302 or the program loaded from the storage part 308 to the random access memory (RAM) 303, such as executing the method described in the above embodiment. In RAM 303, various programs and data required for system operation are also stored. CPU 301, ROM 302 and RAM 303 are connected to each other through bus 304. Input / output (I / O) interface 305 is also connected to bus 304.

[0092] The following components are connected to the I / O interface 305: an input section 306 including an audio input device, a button switch, etc.; an output section 307 including a liquid crystal display (LCD) and an audio output device, an indicator light, etc.; a storage section 308 including a hard disk, etc.; and a communication section 309 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication section 309 performs communication processing via a network such as the Internet. A drive 310 is also connected to the I / O interface 305 as needed. A removable medium 311, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 310 as needed so that a computer program read therefrom is installed into the storage section 308 as needed.

[0093] In particular, according to an embodiment of the present invention, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present invention includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a computer program for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through the communication part 309, and / or installed from a removable medium 311. When the computer program is executed by the central processing unit (CPU) 301, various functions defined in the present invention are performed.

[0094] It should be noted that specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present invention, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, apparatus, or device.

[0095] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present invention. Each box in the flowchart or block diagram may represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of a code contains one or more executable instructions for implementing the specified logical functions. It should also be noted that in some alternative implementations, the functions marked in the box may also occur in an order different from that marked in the accompanying drawings.

[0096] Specifically, the dual cold trap control system of this embodiment includes a processor and a memory. The memory stores a computer program. When the computer program is executed by the processor, the dual cold trap operation monitoring method provided in the above embodiment is implemented.

[0097] As another aspect, the present invention further provides a computer-readable storage medium, which may be included in the double cold trap control system described in the above embodiment; or may exist independently without being assembled into the double cold trap control system. The above storage medium carries one or more computer programs, and when the above one or more computer programs are executed by a processor of the double cold trap control system, the double cold trap control system implements the double cold trap operation monitoring method provided in the above embodiment.

[0098] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.

[0099] As used in the above embodiments, the term "when..." may be interpreted to mean "if..." or "after..." or "in response to determining..." or "in response to detecting...", depending on the context. Similarly, the phrases "upon determining..." or "if (the stated condition or event) is detected" may be interpreted to mean "if determining..." or "in response to determining..." or "upon detecting (the stated condition or event)" or "in response to detecting (the stated condition or event)", depending on the context.

[0100] Those skilled in the art can understand that to implement all or part of the processes in the above-mentioned embodiments, the processes can be completed by computer programs to instruct related hardware, and the programs can be stored in computer-readable storage media. When the programs are executed, they can include the processes of the above-mentioned method embodiments. The aforementioned storage media include: ROM or random access memory RAM, magnetic disk or optical disk and other media that can store program codes.

Claims

1. A double cold trap operation monitoring method, characterized in that: Applied to a dual cold trap control system, the method comprises: Acquire a first cold trap temperature and humidity data, a first condensed water accumulation amount, a second cold trap temperature and humidity data, and a second condensed water accumulation amount, wherein the first cold trap temperature and humidity data include a first inlet temperature and a first inlet humidity at the inlet of the first cold trap and a first outlet temperature and a first outlet humidity at the outlet of the first cold trap, and the first condensed water accumulation amount is used to indicate the volume of condensed water in the first cold trap, the second cold trap temperature and humidity data include a second inlet temperature and a second inlet humidity at the inlet of the second cold trap and a second outlet temperature and a second outlet humidity at the outlet of the second cold trap, and the second condensed water accumulation amount is used to indicate the volume of condensed water in the second cold trap; Determine a first cold trap dehumidification efficiency according to the first cold trap temperature and humidity data, determine a second cold trap dehumidification efficiency according to the second cold trap temperature and humidity data, determine a first temperature gradient according to the first inlet temperature and the first outlet temperature, determine a second temperature gradient according to the second inlet temperature and the second outlet temperature, and determine a condensed water accumulation amount change rate according to the first condensed water accumulation amount and the second condensed water accumulation amount; Comparing the preset parameter standard value with the first cold trap dehumidification efficiency, the second cold trap dehumidification efficiency, the first temperature gradient, the second temperature gradient and the rate of change of the accumulated amount of condensed water, to determine a first operating defect of the first cold trap and / or a second operating defect of the second cold trap, wherein the operating defect includes abnormal dehumidification efficiency, abnormal temperature gradient and abnormal condensed water; Based on the first operation defect of the first cold trap and / or the second operation defect of the second cold trap, a dual cold trap processing solution having a correlation higher than a preset correlation threshold is searched in a preset operation defect processing solution database.

2. The method according to claim 1, characterized in that After the step of searching a preset operation defect processing solution database for a dual cold trap processing solution with a correlation higher than a preset correlation threshold based on the first operation defect of the first cold trap and / or the second operation defect of the second cold trap, the method further comprises: Collecting a first acoustic characteristic signal and a first vibration characteristic signal of the first cold trap, and a second acoustic characteristic signal and a second vibration characteristic signal of the second cold trap; Performing time-frequency domain analysis on the first acoustic characteristic signal, the first vibration characteristic signal, the second acoustic characteristic signal, and the second vibration characteristic signal to obtain a first abnormal operating condition characteristic of the first cold trap and a second abnormal operating condition characteristic of the second cold trap; Performing multimodal feature fusion on the first abnormal operating condition feature and the first operating defect and / or the second abnormal operating condition feature and the second operating defect to obtain a multimodal feature fusion result; The multimodal feature fusion result is updated to the dual cold trap processing scheme.

3. The method according to claim 1, characterized in that After the steps of determining the first cold trap dehumidification efficiency according to the first cold trap temperature and humidity data, determining the second cold trap dehumidification efficiency according to the second cold trap temperature and humidity data, determining the first temperature gradient according to the first inlet temperature and the first outlet temperature, determining the second temperature gradient according to the second inlet temperature and the second outlet temperature, and determining the condensed water accumulation amount change rate according to the first condensed water accumulation amount and the second condensed water accumulation amount, the method further includes: Constructing a double cold trap operation state vector according to the first cold trap dehumidification efficiency, the second cold trap dehumidification efficiency, the first temperature gradient, the second temperature gradient, and the rate of change of the accumulated amount of condensed water; Performing component analysis on the dual cold trap operation state vector to extract main operation characteristics; Based on the main operating characteristics, a double cold trap performance stability evaluation model is established to evaluate the stability of the double cold trap in real time.

4. The method according to claim 1, characterized in that: After the step of searching a preset operation defect processing solution database for a dual cold trap processing solution with a correlation higher than a preset correlation threshold based on the first operation defect of the first cold trap and / or the second operation defect of the second cold trap, the method further comprises: Inputting the first cold trap temperature and humidity data and the first condensed water accumulation amount as well as the second cold trap temperature and humidity data and the second condensed water accumulation amount into a double cold trap fault prediction model to obtain a cold trap fault prediction result; When the cold trap fault prediction result shows that the fault probability is greater than a preset first probability threshold and less than a preset second probability threshold, triggering a first cold trap preventive maintenance process; When the cold trap failure prediction result shows that the failure probability is greater than the preset second probability threshold, a second cold trap preventive maintenance process is triggered.

5. The method according to claim 1, characterized in that The method further comprises: Calculating the cooperative operation index of the first cold trap and the second cold trap in real time; When the synergistic operation index is lower than a preset synergistic index threshold, the operation parameters of the double cold trap are adjusted to preset optimal operation parameters.

6. The method according to claim 5, characterized in that The real-time calculation of the cooperative operation index of the first cold trap and the second cold trap specifically includes: Acquire a first operating parameter of the first cold trap and a second operating parameter of the second cold trap, wherein the operating parameters include a coolant flow rate, a coolant temperature, a coolant pressure, and a condensed water discharge rate; Calculating an operating state matrix of the double cold trap according to the first operating parameter and the second operating parameter; Performing feature extraction on the operation state matrix to obtain an operation feature vector of the double cold trap device; Calculating the feature similarity between the operation feature vector and a preset optimal operation feature vector; According to the feature similarity, dynamically weight the first operating parameter and the second operating parameter to obtain a first weight coefficient and a second weight coefficient; A cooperative operation index of the first cold trap and the second cold trap is determined based on the first weight coefficient, the second weight coefficient, the first cold trap dehumidification efficiency, and the second cold trap dehumidification efficiency.

7. The method according to claim 6, characterized in that After the step of obtaining the first operating parameter of the first cold trap and the second operating parameter of the second cold trap, wherein the operating parameters include coolant flow rate, coolant temperature, coolant pressure, and condensed water discharge rate, the method further includes: Acquire first energy consumption data of the first cold trap and second energy consumption data of the second cold trap; Determining the energy consumption efficiency of the double cold trap based on the first operating parameter and the first energy consumption data, and the second operating parameter and the second energy consumption data; When the energy consumption efficiency is lower than a preset energy consumption efficiency threshold, a cause of energy efficiency degradation of the double cold trap is determined.

8. A double cold trap control system, characterized in that: The dual cold-trap control system includes: one or more processors and a memory; the memory is coupled to the one or more processors, the memory is used to store computer program code, the computer program code includes computer instructions, and the one or more processors call the computer instructions to enable the dual cold-trap control system to execute the method described in any one of claims 1-7.

9. A computer-readable storage medium comprising instructions, characterized in that: When the instruction is executed on a double cold-trap control system, the double cold-trap control system is caused to execute the method according to any one of claims 1 to 7.

10. A computer program product, characterized in that When the computer program product runs on a double cold-trap control system, the double cold-trap control system is enabled to perform the method according to any one of claims 1 to 7.

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