Real-time monitoring system for graded adsorption of toxic gases in medical laboratories

Abstract

This invention relates to the field of gas adsorption monitoring technology, specifically to a real-time monitoring system for graded adsorption of toxic gases in medical laboratories. The invention first acquires the pressure difference and gas concentration data at the inlet and outlet of the adsorption bed. Further, based on the changes in the pressure difference and the difference in the concentration of the target gas at the inlet and outlet, it obtains the dynamic adsorption efficiency. Further, based on the changes in the dynamic adsorption efficiency, it obtains the adsorption failure coefficient. Further, based on the changes in the adsorption failure coefficient of each stage of the adsorption bed, combined with the distribution of the adsorption failure coefficient of the upstream adsorption bed, it obtains the load transfer factor. Finally, based on the current distribution of the load transfer factor and the changes in the adsorption failure coefficient, combined with the location of the adsorption bed, it obtains the main load location, accurately tracking the transfer path and main load state of the adsorption load in the graded system, providing a reliable basis for predicting changes in adsorbent performance and for precise management.

Description

Technical Field

[0001] This invention relates to the field of gas adsorption monitoring technology, specifically to a real-time monitoring system for graded adsorption of toxic gases in a medical laboratory. Background Technology

[0002] Currently, based on the principles of physical adsorption (such as van der Waals forces of activated carbon), chemical adsorption (such as impregnated carbon fixing gases through chemical reactions), or catalytic decomposition (such as the decomposition of ozone by noble metal catalysts) of different adsorption materials for specific gas molecules, different components in a mixed gas are removed step by step as it passes through the adsorption bed.

[0003] However, in the staged adsorption treatment of toxic gases, treating each adsorption bed as an isolated unit without establishing a system-wide linkage analysis mechanism makes it difficult to track the transfer path of adsorption load between different adsorption beds in real time, and also makes it impossible to effectively monitor the performance degradation process of the adsorbent due to factors such as adsorption saturation. As a result, it is impossible to combine the initial gas concentration, real-time load distribution and material degradation characteristics, making it difficult to accurately predict the actual adsorption status of each stage in the entire staged adsorption system, and thus difficult to guide the effective and timely replacement of the adsorbent. Summary of the Invention

[0004] To address the technical problems of existing technologies that involve isolated monitoring of the adsorption bed, the inability to track adsorption load transfer and quantify performance degradation in real time, leading to inaccurate predictions and inefficient management, the present invention aims to provide a real-time monitoring system for graded adsorption of toxic gases in medical laboratories. The specific technical solution adopted is as follows:

[0005] A real-time monitoring system for graded adsorption of toxic gases in a medical laboratory, the system comprising:

[0006] The data acquisition module is used to select toxic gas components one by one as target gases, and to acquire the pressure difference at the inlet and outlet of each adsorption bed and the concentration of the target gas.

[0007] The adsorption analysis module is used to obtain the current dynamic adsorption efficiency of each adsorption bed based on the change in pressure difference of each adsorption bed and the difference in concentration of the target gas at the inlet and outlet; and to obtain the current adsorption failure coefficient of each adsorption bed based on the change in dynamic adsorption efficiency and the dynamic adsorption efficiency.

[0008] The load analysis module is used to obtain the load transfer factor of each adsorption bed at the current stage based on the change of the adsorption failure coefficient of each adsorption bed and the distribution of the adsorption failure coefficient of the upstream adsorption bed; and to obtain the main load position of the target gas based on the current distribution of the load transfer factor and the change of the adsorption failure coefficient, combined with the position of the adsorption bed.

[0009] Furthermore, the method for obtaining the dynamic adsorption efficiency includes:

[0010] Based on the current concentration reduction performance of the target gas at the inlet and outlet of each adsorption bed stage, obtain the concentration reduction factor.

[0011] The relative pressure difference factor is obtained based on the difference between the current pressure difference and the pressure difference when the adsorption bed is brand new for each stage.

[0012] By integrating the current concentration reduction factor and the relative pressure difference factor of each adsorption bed stage, dynamic adsorption efficiency is obtained.

[0013] Furthermore, the method for obtaining the concentration reduction factor includes:

[0014] The ratio of the decrease in the concentration of the target gas at the inlet and outlet to the concentration at the inlet is used as the concentration reduction factor of the adsorption bed at the corresponding time.

[0015] Furthermore, the method for obtaining the relative pressure difference factor includes:

[0016] The ratio of the pressure difference when the adsorption bed is brand new to the current pressure difference is used as the relative pressure difference factor for the corresponding adsorption bed at the corresponding moment.

[0017] Furthermore, the method for obtaining the adsorption failure coefficient includes:

[0018] By combining the absolute value of the rate of change of the current dynamic adsorption efficiency with the dynamic adsorption efficiency, the adsorption failure coefficient of the corresponding adsorption bed at the current time can be obtained.

[0019] Furthermore, the method for obtaining the load transfer factor includes:

[0020] Set the load transfer factor of the first adsorption bed to 0; select each non-first adsorption bed as the target adsorption bed, and obtain the current upstream adsorption failure factor of the target adsorption bed based on the current adsorption failure coefficient of each upstream adsorption bed and the stability of the adsorption failure coefficient in the preset historical neighborhood.

[0021] Based on the difference between the current adsorption failure coefficient of the target adsorption bed and the adjacent previous moment, and in conjunction with the upstream adsorption failure factor, the current load transfer factor of the target adsorption bed is obtained.

[0022] Furthermore, the method for obtaining the upstream adsorption failure factor includes:

[0023] For each adsorption bed upstream of the target adsorption bed, the current adsorption failure coefficient and the standard deviation of the adsorption failure coefficient in the preset historical neighborhood are combined to obtain the adsorption failure sub-factor of each adsorption bed; the sum of the adsorption failure sub-factors of all upstream adsorption beds is taken as the current upstream adsorption failure factor of the target adsorption bed.

[0024] Furthermore, the method for obtaining the main load location includes:

[0025] All adsorption beds are arranged according to the current load transfer factor in the order of gas flow, and the adsorption beds to be analyzed are screened according to the distribution of the load transfer factor in the sequence.

[0026] Based on the rate of change of the current adsorption failure coefficient of the adsorption bed to be analyzed, and combined with the degree of rearward positioning of the adsorption bed to be analyzed, the load effectiveness is obtained; the adsorption bed position with the greatest load effectiveness is selected as the main load position.

[0027] Furthermore, the method for obtaining the adsorption bed to be analyzed includes:

[0028] Each adsorption bed at a maximum point in the sequence is marked as the adsorption bed to be analyzed.

[0029] Furthermore, after obtaining the location of the main load, the process also includes:

[0030] A replacement signal is issued when the main load is located in the last adsorption bed of the target gas being adsorbed and the adsorption failure coefficient is greater than the preset failure threshold.

[0031] The present invention has the following beneficial effects:

[0032] This invention first acquires the pressure difference and gas concentration data at the inlet and outlet of the adsorption bed to provide a data foundation for subsequent analysis. Then, based on changes in pressure difference and the difference in target gas concentration at the inlet and outlet, it obtains the dynamic adsorption efficiency, characterizing the dynamic adsorption capacity of the adsorption bed and providing a basis for subsequent analysis of the adsorption failure coefficient. Further, based on changes in dynamic adsorption efficiency, it obtains the adsorption failure coefficient, characterizing the adsorption failure process of the adsorption bed, facilitating the system's tracking of changes in adsorption performance. Further, based on the changes in the adsorption failure coefficient of each adsorption bed stage, combined with the distribution of the adsorption failure coefficient of the upstream adsorption bed, it obtains the load transfer factor, capturing the transfer characteristics of adsorption load in the staged adsorption bed and establishing a cross-stage linkage analysis mechanism, providing a basis for the main load location in the subsequent staged adsorption system. Finally, based on the current distribution of the load transfer factor and the changes in the adsorption failure coefficient, combined with the location of the adsorption bed, it obtains the main load location, providing accurate monitoring data. This invention monitors the pressure difference and gas concentration of each adsorption bed stage, dynamically calculates its adsorption efficiency and failure coefficient, and then analyzes the load transfer factor to accurately track the transfer path and main load state of the adsorption load in the staged system, providing a reliable basis for predicting changes in adsorbent performance and conducting refined management. Attached Figure Description

[0033] To more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0034] Figure 1 A system block diagram of a real-time monitoring system for graded adsorption of toxic gases in a medical laboratory, provided as an embodiment of the present invention;

[0035] Figure 2 This is a flowchart illustrating a method for obtaining dynamic adsorption efficiency according to an embodiment of the present invention. Detailed Implementation

[0036] To further illustrate the technical means and effects adopted by the present invention to achieve its intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effects of a real-time monitoring system for graded adsorption of toxic gases in a medical laboratory according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0037] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0038] The following description, in conjunction with the accompanying drawings, details the specific scheme of a real-time monitoring system for graded adsorption of toxic gases in a medical laboratory provided by the present invention.

[0039] Please see Figure 1 The diagram illustrates a system block diagram of a real-time monitoring system for graded adsorption of toxic gases in a medical laboratory, according to an embodiment of the present invention. The system includes: a data acquisition module 101, an adsorption analysis module 102, and a load analysis module 103.

[0040] The data acquisition module 101 is used to select toxic gas components one by one as target gases and acquire the pressure difference at the inlet and outlet of each adsorption bed and the concentration of the target gas.

[0041] The toxic gases in medical laboratories are complex in composition, and no single universal adsorbent can handle all gases. Different types of adsorbents have the best adsorption effect on gas molecules with different physicochemical properties. Therefore, by grading, broad-spectrum adsorbents are combined with targeted adsorbents, and different levels adsorb specific gases with different properties in toxic gases; and gas components that may cause adverse reactions are separated and treated in different levels.

[0042] In one embodiment of the present invention, the toxic gas is subjected to primary pretreatment before the graded treatment, using a broad-spectrum adsorbent (such as high-performance granular activated carbon), the main task of which is to adsorb large flow rates and high concentrations of non-polar or weakly polar VOCs and remove dust.

[0043] Toxic gas components were selected one by one as target gases for individual analysis. For the same target gas, several adsorption beds in series were used for adsorption treatment. Before and after each stage of adsorption treatment, the concentration of the specific gas was monitored to obtain the concentration of the target gas at the inlet and outlet. The pressure difference at the inlet and outlet of each adsorption bed was continuously monitored to provide a data basis for subsequent analysis.

[0044] It should be noted that the adsorption beds are sorted and graded according to the gas flow sequence. The pressure difference between the inlet and outlet of the adsorption bed is the absolute value of the pressure difference. The sampling frequency of gas concentration and pressure difference can be set to 1Hz. The concentration of the target gas at the outlet of the previous stage can be used as the gas concentration at the inlet of the adjacent next stage. There should be at least 3 adsorption beds in series for each gas. The design of the staged adsorption treatment can be adjusted according to the actual adsorption requirements of toxic gas components. The sampling methods for gas concentration and pressure are well known technologies, and the sampling frequency can be adjusted by the implementer, so it will not be elaborated further.

[0045] It should be noted that the analysis process is the same for each gas, and only one example is described here without repeating it.

[0046] The adsorption analysis module 102 is used to obtain the current dynamic adsorption efficiency of each adsorption bed based on the change in pressure difference of each adsorption bed and the difference in the concentration of the target gas at the inlet and outlet; and to obtain the current adsorption failure coefficient of each adsorption bed based on the change in dynamic adsorption efficiency and the dynamic adsorption efficiency.

[0047] In each stage of adsorption, the pressure difference between the inlet and outlet of the adsorption bed reflects the current three-dimensional mechanical properties of the adsorption bed, while the concentration of the target gas at the inlet and outlet reflects the adsorption status of the adsorption bed for the gas. Therefore, based on the changes in the pressure difference of each stage of the adsorption bed and the differences in the concentration of the target gas at the inlet and outlet, the dynamic adsorption efficiency of each stage of the adsorption bed is obtained, which characterizes the dynamic adsorption capacity of the adsorption bed, provides a basis for subsequent analysis of the adsorption failure coefficient, and provides core traceability data for real-time monitoring, early warning and decision-making of the system.

[0048] Preferably, in one embodiment of the present invention, please refer to Figure 2 The flowchart illustrates a method for obtaining dynamic adsorption efficiency according to an embodiment of the present invention, specifically including:

[0049] Step S201: Obtain the concentration reduction factor based on the current concentration reduction performance of the target gas at the inlet and outlet of each adsorption bed.

[0050] Considering that the concentration of the target gas decreases after flowing through the adsorption bed, reflecting the instantaneous state of the adsorption capacity of the adsorption bed, the concentration reduction factor is obtained, which represents the ability of the adsorption bed to capture and retain target gas molecules.

[0051] As an example, the ratio of the decrease in the concentration of the target gas at the inlet and outlet to the concentration at the inlet is used as the concentration reduction factor of the adsorption bed at the corresponding time.

[0052] Specifically, the difference between the concentration of the target gas at the inlet and the concentration at the outlet of any adsorption bed at any given time is taken as the numerator, and the inlet concentration is taken as the denominator. The ratio of the fractions is taken as the concentration reduction factor of the corresponding adsorption bed at the corresponding time.

[0053] The fractional ratio represents the percentage decrease in gas concentration caused by the flow through the adsorption bed, reflecting the decrease in the concentration of the target gas at the inlet and outlet, as well as the difference in the concentration of the target gas at the inlet and outlet.

[0054] As another example, the highest preset concentration of the target gas can be used as a unified benchmark. The difference between the concentration of the target gas at the inlet and the concentration at the outlet of any adsorption bed at any given time can be used as the numerator, and the highest concentration can be used as the denominator. The ratio of the fractions can be used as the concentration reduction factor of the corresponding adsorption bed at the corresponding time. The preset highest concentration can be the highest concentration in the historical data.

[0055] Step S202: Obtain the relative pressure difference factor based on the difference between the current pressure difference and the pressure difference when the adsorption bed is brand new.

[0056] In most medical laboratory toxic gas treatment scenarios, the adsorption bed is filled with solid adsorbents (such as activated carbon particles, impregnated carbon, molecular sieves, alumina balls, etc.). In each stage of adsorption, as the toxic gas passes through, the adsorbent pulverizes and accumulates, the porosity of the bed decreases, and the flow channel is blocked. As a result, the pressure difference between the inlet and outlet of the adsorption bed gradually increases. At this time, the gas flows smoothly through the adsorption bed, the effective contact time becomes shorter, and the dynamic adsorption efficiency of the adsorption bed is reduced.

[0057] Therefore, by comparing the current pressure difference with the pressure difference when it is brand new, the relative pressure difference factor can be obtained.

[0058] As an example, the ratio of the initial pressure difference of the adsorption bed to the current pressure difference is used as the relative pressure difference factor of the adsorption bed at a corresponding moment. This ratio represents the difference between the current pressure difference and the initial pressure difference of the adsorption bed, reflecting the change in the pressure difference of the adsorption bed.

[0059] To ensure the accuracy of the relative pressure difference factor, the system operation requires maintaining a stable gas flow rate entering the primary adsorption bed at a preset value, which can be adjusted by the operator. This is typically achieved by setting a flow meter at the front end of the system and forming a closed-loop control with a variable frequency fan or regulating valve. This flow rate stabilization control technology is a well-known method in the field. The initial pressure difference corresponds to the numerator, and the current pressure difference corresponds to the denominator. The larger the current pressure difference, the lower the dynamic adsorption efficiency and the smaller the relative pressure difference factor.

[0060] Step S203: Combine the current concentration reduction factor and relative pressure difference factor of each adsorption bed to obtain the dynamic adsorption efficiency.

[0061] Furthermore, by integrating the concentration reduction factor, which directly reflects the adsorption efficiency, and the relative pressure difference factor, which indirectly reflects the adsorption efficiency from the perspective of pressure difference, dynamic adsorption efficiency is obtained.

[0062] As an example, the product of the current concentration reduction factor and the relative pressure difference factor of each adsorption bed stage is linearly normalized in the data dimension corresponding to the target gas, and the normalization result is used as the dynamic adsorption efficiency of each adsorption bed stage at the current time; the dynamic adsorption efficiency is a specific data value.

[0063] It should be noted that for purification units (such as scrubbing towers) that may exist in the system and use liquid as the working medium, the pressure difference mainly depends on the liquid level and liquid viscosity. The relative pressure difference factor is no longer calculated, and the concentration reduction factor is directly used as the dynamic adsorption efficiency.

[0064] It should be noted that, in the embodiments of the present invention, in order to prevent the denominator from being zero, a positive parameter for division by zero, such as 0.01, can be added to the denominator. The analysis process for each adsorption bed at each time point is consistent, and only one example is described here, without repeating the explanation.

[0065] For any staged adsorption bed, the dynamic adsorption efficiency data sequence over time is obtained to reflect the performance degradation process of the adsorbent: at the initial adsorption stage, the adsorbent is in a fresh state with a large number of unoccupied active sites and unobstructed flow channels. As the adsorbent gradually adsorbs the target gas, the adsorption efficiency of the adsorbent gradually decreases. The dynamic adsorption efficiency at this point will gradually decrease from the highly efficient and stable state in the initial fresh adsorption state, and the dynamic adsorption efficiency for the target gas will gradually decrease. Finally, the adsorption function of the adsorption bed will fail rapidly until the dynamic adsorption efficiency of the adsorption bed gradually approaches zero, indicating that the function of the adsorption bed is basically lost.

[0066] Therefore, the change in dynamic adsorption efficiency reflects the current rate and trend of adsorbent performance decay. Combined with the current dynamic adsorption efficiency, it serves as a supplement to quantifying adsorption failure, obtaining the adsorption failure coefficient of each adsorption bed at the current stage, characterizing the adsorption failure process of the adsorption bed, and facilitating the system to track changes in the adsorption performance of the adsorption bed.

[0067] Preferably, in one embodiment of the present invention, considering that the smaller the current dynamic adsorption efficiency, the weaker the adsorption capacity of the adsorption bed for the target gas, and the larger the adsorption failure coefficient; the absolute value of the rate of change of dynamic adsorption efficiency reflects the rate of decrease of dynamic adsorption efficiency, and the larger the absolute value, the greater the adsorption efficiency is at an accelerated rate of decrease, and the larger the adsorption failure coefficient is.

[0068] Based on this, by combining the absolute value of the rate of change of the current dynamic adsorption efficiency and the dynamic adsorption efficiency, the adsorption failure coefficient of the corresponding adsorption bed at the current time can be obtained.

[0069] As an example, select any adsorption bed, obtain the rate of change (slope) of the current dynamic adsorption efficiency and the dynamic adsorption efficiency at the previous monitoring time, and take the absolute value. Multiply the absolute value of the rate of change of dynamic adsorption efficiency by the reciprocal of dynamic adsorption efficiency as the adsorption failure coefficient of the corresponding adsorption bed at the current time.

[0070] In this case, the adsorption failure coefficient at the first moment after the adsorption bed is installed (or replaced) is directly set to 0, which represents its initial state without decay. In order to avoid the influence of factors such as uneven airflow distribution inside the adsorption bed and fluctuations in ambient temperature and humidity, the rate of change of dynamic adsorption efficiency is positive, which corresponds to an increase in dynamic adsorption efficiency. As a comprehensive and relatively stable state parameter, dynamic adsorption efficiency can effectively suppress the amplification of such interference signals and ensure the effectiveness of the adsorption failure coefficient.

[0071] The load analysis module 103 is used to obtain the current load transfer factor of each adsorption bed based on the change of the adsorption failure coefficient of each adsorption bed and the distribution of the adsorption failure coefficient of the upstream adsorption bed; and to obtain the main load position of the target gas based on the distribution of the current load transfer factor and the change of the adsorption failure coefficient, combined with the position of the adsorption bed.

[0072] Since the adsorption capacity of the adsorbent is limited, its dynamic adsorption efficiency will inevitably show a gradual downward trend. When the upstream adsorbent gradually becomes ineffective, the main adsorption load will be transferred to the next adsorption bed.

[0073] Considering the variation in the adsorption failure coefficient of each adsorption bed stage, which reflects the change in the adsorption performance failure caused by the adsorption bed treating the target gas, and the distribution of the adsorption failure coefficient of the upstream adsorption bed, the load transfer factor of each adsorption bed stage can be obtained. At this time, the transfer characteristics of adsorption load in the staged adsorption bed are captured, and a cross-stage linkage analysis mechanism is established. This provides a basis for the main load position of the subsequent staged adsorption system and a basis for timely replacement or maintenance of the adsorption bed.

[0074] Preferably, in one embodiment of the present invention, considering that the load transfer factor is intended to capture the process of load transfer from top to bottom, the first adsorption bed is the starting point of adsorption, and the load comes from the original gas, not from upstream load transfer, so the load transfer factor of the first adsorption bed is set to 0.

[0075] Then, each adsorption bed other than the first one is selected as the target adsorption bed for analysis.

[0076] Considering that the larger the adsorption failure coefficient of the upstream adsorption bed is, and that the adsorption failure coefficient is in a stable state, it indicates that the adsorption failure of the upstream adsorption bed is more complete, and the current target adsorption bed is subjected to a greater load transfer. Therefore, based on the current adsorption failure coefficient of each upstream adsorption bed and the stability of the adsorption failure coefficient in the preset historical neighborhood, the current upstream adsorption failure factor of the target adsorption bed is obtained.

[0077] As an example, the preset historical neighborhood length is 5 seconds, which includes the current and the 4 most recent historical data. Considering that the standard deviation can measure the stability of the data, the smaller the standard deviation, the stronger the stability. At the same time, the larger the current adsorption failure coefficient, the more significant the adsorption failure of the adsorption bed. Therefore, for each adsorption bed upstream of the target adsorption bed, the current adsorption failure coefficient and the standard deviation of the adsorption failure coefficient in the preset historical neighborhood are fused to obtain the adsorption failure sub-factor of each adsorption bed.

[0078] Specifically, for each adsorption bed upstream of the target adsorption bed, the current adsorption failure coefficient is used as the numerator, the standard deviation of the adsorption failure coefficients in the preset historical neighborhood is used as the denominator, and the fractional ratio is used as the adsorption failure sub-factor of each adsorption bed in the current period.

[0079] Finally, the sum of the adsorption failure sub-factors of all upstream adsorption beds is taken as the current upstream adsorption failure factor of the target adsorption bed. The larger the sum, the more completely each upstream adsorption bed fails, and the larger the upstream adsorption failure factor.

[0080] Furthermore, considering that the greater the difference between the current adsorption failure coefficient and the adsorption failure coefficient of the adjacent previous moment, it indicates that the target adsorption bed is not in a stable state and its performance is undergoing drastic changes (such as accelerated failure or sudden load impact), and has a larger load transfer factor; at the same time, the greater the adsorption failure factor of the upstream adsorption bed and the greater the adsorption pressure it bears, the greater the load transfer factor.

[0081] Based on this, the load transfer factor of the target adsorption bed at the current time is obtained by combining the upstream adsorption failure factor with the difference between the current adsorption failure factor of the target adsorption bed and the previous time.

[0082] As an example, the difference between adjacent time points is represented by the absolute value of the difference. The absolute value of the difference between the current adsorption failure coefficient and the adsorption failure coefficient of the adjacent previous time point is taken as the difference value. The product of the upstream adsorption failure factor and the difference value is taken as the load transfer factor of the target adsorption bed at the current time.

[0083] As another example, to avoid the order of magnitude of the upstream adsorption failure factor dominating the influence of the load transfer factor, the load transfer factor is linearly normalized in its corresponding data dimension. The product of the normalized upstream adsorption failure factor and the difference value is used as the current load transfer factor of the target adsorption bed.

[0084] Ideally, the adsorption load is transferred sequentially and unimodally downwards. However, in actual adsorption processes, there may be uneven airflow distribution within the adsorption bed, simultaneous activity in both upper and lower adsorption beds, or malfunction of a particular adsorbent. These issues can disrupt the equilibrium of layer-by-layer adsorption. Furthermore, in staged adsorption, the adsorption bed with the largest adsorption load transfer factor further downstream acts as a practical safety barrier. Therefore, it is necessary to accurately determine the main load position of the target gas based on the current distribution of the load transfer factor and the change in the adsorption failure coefficient, combined with the position of the adsorption bed, to provide accurate monitoring data.

[0085] Preferably, in one embodiment of the present invention, all adsorption beds are first arranged according to the gas flow order based on the current load transfer factor;

[0086] In the load transfer factor sequence of all adsorption beds from top to bottom, the load transfer factor will show an upward trend from the adsorption bed that has been completely depleted to the adsorption bed where the main adsorption load is located. However, for the adsorption beds that have not started adsorption or have already started adsorbing a small portion of the toxic gas that came first, the load transfer factor will show a smaller value. Therefore, the adsorption beds to be analyzed are screened according to the distribution of load transfer factor in the sequence.

[0087] As an example, considering that the maximum point accurately captures the local peak location of the adsorption load as it is passed down in the hierarchical system, the adsorption beds with the maximum point in the sequence are marked one by one as the adsorption beds to be analyzed.

[0088] Considering that when the adsorption load is at the main adsorption load location, the adsorption failure process should show a continuous increasing trend, and when it is located relatively downstream of the adsorption bed, it is more likely to be the actual safety barrier. Therefore, the load effectiveness is obtained by combining the rate of change of the current adsorption failure coefficient of the adsorption bed to be analyzed with the degree of its downstream position.

[0089] As an example, the ratio of the index of the adsorption bed to the maximum index of all adsorption beds is used as the position offset coefficient, which reflects the degree of position offset. The product of the rate of change (slope) of the current adsorption failure coefficient of the adsorption bed to be analyzed and the position offset coefficient is used as the load effectiveness of the adsorption bed to be analyzed.

[0090] The adsorption bed location with the greatest loading effectiveness is selected as the primary loading location.

[0091] It should be noted that when there is only one adsorption bed to be analyzed, the corresponding adsorption bed position is directly marked as the main load position.

[0092] In one embodiment of the present invention, after obtaining the main load location, the method further includes:

[0093] A replacement signal is issued when the main load is located in the last adsorption bed of the target gas being adsorbed and the adsorption failure coefficient is greater than the preset failure threshold.

[0094] As an example, the preset failure threshold is set to 50% of the historical maximum adsorption failure coefficient. In other embodiments of the present invention, the implementer may adjust it as needed.

[0095] It should be noted that, in another embodiment of the present invention, the implementer may only analyze the data of several adsorption beds in series that are adsorbed for each target gas. For example, if gas A is adsorbed by three adsorption beds of levels 10, 11, and 12 during the design process, then when A is the target gas, only the data of the three adsorption beds of levels 10-12 may be analyzed; the adsorption beds on both sides may also be analyzed, for example, the data of the adsorption beds of levels 9-13 may be analyzed.

[0096] It should be noted that, considering that the main load locations are continuous in time and do not change frequently, in order to reduce the system's computational load and avoid false alarms caused by data fluctuations, a longer update frequency can be set, such as 15 seconds / time.

[0097] The system ultimately obtains real-time dynamic adsorption efficiency, adsorption failure coefficient, load transfer factor, and main load location, which can be visualized and stored. By associating multi-stage adsorption beds, it can track the transfer path of adsorption load and the performance degradation process, providing a reliable basis for predicting changes in adsorbent performance and carrying out fine management.

[0098] In summary, to address the technical problems of isolated adsorption bed monitoring in existing technologies, which fail to track adsorption load transfer and quantify performance degradation in real time, leading to inaccurate predictions and inefficient management, this invention provides a real-time monitoring system for staged adsorption of toxic gases in medical laboratories. This invention first acquires the pressure difference and gas concentration data at the inlet and outlet of the adsorption bed. Then, based on changes in pressure difference and the difference in target gas concentration at the inlet and outlet, it obtains the dynamic adsorption efficiency. Next, based on changes in dynamic adsorption efficiency, it obtains the adsorption failure coefficient. Finally, based on changes in the adsorption failure coefficient of each stage of the adsorption bed, combined with the distribution of the adsorption failure coefficient of the upstream adsorption bed, it obtains the load transfer factor. Finally, based on the current distribution of the load transfer factor and changes in the adsorption failure coefficient, combined with the location of the adsorption bed, it obtains the primary load location. This invention monitors the pressure difference and gas concentration of each stage of the adsorption bed, dynamically calculates its adsorption efficiency and failure coefficient, and then analyzes the load transfer factor. This allows for precise tracking of the transfer path and primary load status of the adsorption load in the staged system, providing a reliable basis for predicting changes in adsorbent performance and enabling refined management.

[0099] It should be noted that the order of the above embodiments of the present invention is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0100] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

Claims

1. A real-time monitoring system for medical laboratory toxic gas fractionation adsorption, characterized in that, The system comprises: a data acquisition module, configured to select a toxic gas component as a target gas one by one, and acquire a pressure difference between an inlet and an outlet of each adsorption bed and a concentration of the target gas; an adsorption analysis module, configured to acquire a current dynamic adsorption efficiency of each adsorption bed according to a change of the pressure difference and a difference of the concentration of the target gas between the inlet and the outlet of each adsorption bed, and acquire a current adsorption failure coefficient of each adsorption bed according to a change of the dynamic adsorption efficiency and the dynamic adsorption efficiency; a load analysis module, configured to acquire a current load transfer factor of each adsorption bed according to a change of the adsorption failure coefficient of each adsorption bed and a distribution of the adsorption failure coefficient of an upstream adsorption bed, and acquire a main load position of the target gas according to a distribution of the current load transfer factor and a change of the adsorption failure coefficient and a position of the adsorption bed. The concentration reduction factor is acquired according to a reduction of the concentration of the target gas at the inlet and the outlet of each adsorption bed, the relative pressure difference factor is acquired according to a difference between the current pressure difference and the pressure difference when the adsorption bed is new, the dynamic adsorption efficiency is acquired by fusing the concentration reduction factor and the relative pressure difference factor of each adsorption bed, the concentration reduction factor of the target gas at the inlet and the outlet is taken as a ratio value of a concentration amplitude at the inlet, the relative pressure difference factor of the adsorption bed is taken as a ratio value of the pressure difference when the adsorption bed is new and the current pressure difference, the dynamic adsorption efficiency of each adsorption bed is acquired by multiplying the concentration reduction factor and the relative pressure difference factor, linearly normalizing in a data dimension corresponding to the target gas, and taking the normalized result as the dynamic adsorption efficiency of each adsorption bed, the adsorption failure coefficient of the corresponding adsorption bed is acquired by fusing an absolute value of a change rate of the current dynamic adsorption efficiency and the dynamic adsorption efficiency, the change rate of the dynamic adsorption efficiency is taken as an absolute value, and the product of the absolute value of the change rate of the dynamic adsorption efficiency and the reciprocal of the dynamic adsorption efficiency is taken as the adsorption failure coefficient of the corresponding adsorption bed.

2. The medical laboratory system for real-time monitoring of toxic gas fractionation adsorption according to claim 1, wherein, The load transfer factor acquisition method comprises: the load transfer factor of the first adsorption bed is set as 0, a non-first adsorption bed is selected as a target adsorption bed one by one, the upstream adsorption failure factor of the target adsorption bed is acquired according to the adsorption failure coefficient of each upstream adsorption bed and stability of the adsorption failure coefficient in a preset historical neighborhood, the load transfer factor of the target adsorption bed is acquired according to a difference between the adsorption failure coefficient of the target adsorption bed and an adjacent previous time and the upstream adsorption failure factor.

3. The medical laboratory system for real-time monitoring of toxic gas fractionation adsorption according to claim 2, wherein, The upstream adsorption failure factor acquisition method comprises: For each adsorption bed upstream of the target adsorption bed, fuse the current adsorption failure coefficient and the standard deviation of the adsorption failure coefficients in the preset historical neighborhood to obtain an adsorption failure sub-factor of each adsorption bed; and take the sum of the adsorption failure sub-factors of all the upstream adsorption beds as the upstream adsorption failure factor of the target adsorption bed.

4. The medical laboratory system for real-time monitoring of toxic gas fractionation adsorption according to claim 1, wherein, The method for obtaining the main load position comprises: arranging all the adsorption beds in the current load transfer factor according to the sequence of gas flow, and screening the adsorption bed to be analyzed according to the distribution of the load transfer factor in the sequence; obtaining the load effectiveness according to the change rate of the current adsorption failure coefficient of the adsorption bed to be analyzed and the position bias degree of the adsorption bed to be analyzed; and selecting the position of the adsorption bed with the maximum load effectiveness as the main load position.

5. The medical laboratory system for real-time monitoring of toxic gas fractionation adsorption according to claim 4, wherein, The method for obtaining the adsorption bed to be analyzed comprises: labeling the adsorption bed at each maximum point in the sequence as the adsorption bed to be analyzed.

6. The medical laboratory system for real-time monitoring of toxic gas fractionation adsorption according to claim 1, wherein, After obtaining the main load position, the method further comprises: when the main load position is located at the last stage adsorption bed of the adsorbed target gas and the adsorption failure coefficient is greater than a preset failure threshold, issuing a replacement signal.

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