Real-time monitoring system for graded adsorption of toxic gas in medical laboratory

Abstract

The invention relates to the technical field of gas adsorption monitoring, in particular to a real-time monitoring system for graded adsorption of toxic gas in a medical laboratory. The method comprises the following steps: firstly, acquiring pressure difference and gas concentration data of an inlet and an outlet of an adsorption bed, and further acquiring the dynamic adsorption efficiency according to the change of the pressure difference and the difference of the concentration of target gas at the inlet and the outlet; further obtaining an adsorption failure coefficient according to the change of the dynamic adsorption efficiency and the dynamic adsorption efficiency; further obtaining a load transfer factor according to the change of the adsorption failure coefficient of each stage of adsorption bed in combination with the distribution of the adsorption failure coefficient of the upstream adsorption bed; and finally, according to the distribution of the current load transfer factors and the change of the adsorption failure coefficient, by combining the position of an adsorption bed, obtaining the position of a main load, and accurately tracking the transfer path of the adsorption load in the grading system and the state of the main load, thereby providing a reliable basis for predicting the performance change of the adsorbent and performing fine management.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of gas adsorption monitoring, in particular to a real-time monitoring system for toxic gas hierarchical adsorption in a medical laboratory. BACKGROUND

[0002] Currently, based on the principle of physical adsorption (such as van der Waals force of activated carbon), chemical adsorption (such as chemical reaction of impregnated carbon to fix gas) or catalytic decomposition (such as decomposition of ozone by noble metal catalyst) of different adsorption materials on specific gas molecules, different components in mixed gas are removed step by step when passing through the adsorption bed.

[0003] However, in the hierarchical adsorption treatment of toxic gas, each adsorption bed is regarded as an isolated unit, and a linkage analysis mechanism based on the whole system is not established, it is difficult to track the transfer path of adsorption load among different levels of adsorption bed in real time, and it is also difficult to effectively monitor the performance degradation process of adsorbent due to adsorption saturation and other factors; it is difficult to accurately predict the actual adsorption status of each level in the whole hierarchical adsorption system by combining the initial gas concentration, real-time load distribution and material attenuation characteristics, and it is further difficult to guide the effective and timely replacement of adsorbent. SUMMARY

[0004] In order to solve the technical problems of isolated monitoring of adsorption bed, unable to track adsorption load transfer and quantify performance degradation in real time, and further leading to inaccurate prediction and extensive management in the prior art, the purpose of the present application is to provide a real-time monitoring system for toxic gas hierarchical adsorption in a medical laboratory, and the technical scheme adopted is as follows: A real-time monitoring system for toxic gas hierarchical adsorption in a medical laboratory, the system comprises: A data acquisition module for selecting toxic gas components as target gas one by one, acquiring the pressure difference of the inlet and outlet of each adsorption bed and the concentration of the target gas; An adsorption analysis module for acquiring the current dynamic adsorption efficiency of each adsorption bed according to the change of the pressure difference of each adsorption bed and the difference of the concentration of the target gas at the inlet and outlet; and acquiring the adsorption failure coefficient of each adsorption bed at the current time according to the change of the dynamic adsorption efficiency and the dynamic adsorption efficiency; A load analysis module for acquiring the load transfer factor of each adsorption bed at the current time according to the change of the adsorption failure coefficient of each adsorption bed, combining the distribution of the adsorption failure coefficient of the upstream adsorption bed; and acquiring the main load position of the target gas according to the distribution of the current load transfer factor and the change of the adsorption failure coefficient, combining the position of the adsorption bed.

[0005] Further, the method for acquiring the dynamic adsorption efficiency comprises: According to the decrease of the concentration of the target gas at the inlet and outlet of each adsorption bed, a concentration decrease factor is obtained; According to the difference between the current pressure difference and the original pressure difference of each adsorption bed, a relative pressure difference factor is obtained; The dynamic adsorption efficiency is obtained by fusing the concentration decrease factor and the relative pressure difference factor of each adsorption bed at the current time.

[0006] Further, the concentration decrease factor is obtained by: The ratio of the decrease of the concentration of the target gas at the inlet and outlet to the concentration at the inlet is taken as the concentration decrease factor of the corresponding adsorption bed at the corresponding time.

[0007] Further, the relative pressure difference factor is obtained by: The ratio of the original pressure difference to the current pressure difference of the adsorption bed is taken as the relative pressure difference factor of the corresponding adsorption bed at the corresponding time.

[0008] Further, the adsorption failure coefficient is obtained by: The adsorption failure coefficient of the corresponding adsorption bed at the current time is obtained by fusing the absolute value of the change rate of the dynamic adsorption efficiency at the current time and the dynamic adsorption efficiency.

[0009] Further, the load transfer factor is obtained by: The load transfer factor of the first adsorption bed is set to 0; each adsorption bed other than the first one is selected as a target adsorption bed, and the upstream adsorption failure factor of the target adsorption bed at the current time is obtained according to the adsorption failure coefficient of each adsorption bed upstream of the target adsorption bed at the current time and the stability of the adsorption failure coefficient in a preset historical neighborhood. The load transfer factor of the target adsorption bed at the current time is obtained according to the difference between the adsorption failure coefficient of the target adsorption bed at the current time and the adsorption failure coefficient at the previous time, and the upstream adsorption failure factor.

[0010] Further, the upstream adsorption failure factor is obtained by: For each adsorption bed upstream of the target adsorption bed, the adsorption failure sub-factor of each adsorption bed is obtained by fusing the adsorption failure coefficient at the current time and the standard deviation of the adsorption failure coefficient in a preset historical neighborhood; and the sum of the adsorption failure sub-factors of all adsorption beds upstream of the target adsorption bed is taken as the upstream adsorption failure factor of the target adsorption bed at the current time.

[0011] Further, the main load position is obtained by: All the load transfer factors of the adsorption beds at the current time are arranged in sequence according to the order of gas flow, and the adsorption bed to be analyzed is selected according to the distribution of the load transfer factors in the sequence. According to the change rate of the adsorption failure coefficient of the adsorption bed to be analyzed at the current adsorption, combined with the position lag degree of the adsorption bed to be analyzed, the load effectiveness is obtained; the position of the adsorption bed with the maximum load effectiveness is selected as the main load position.

[0012] Further, the obtaining method of the adsorption bed to be analyzed comprises: The adsorption beds with maximum points in the sequence are marked as adsorption beds to be analyzed one by one.

[0013] Further, 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 the preset failure threshold, a replacement signal is sent.

[0014] The present application has the following advantages: The present application first obtains the pressure difference and gas concentration data of the inlet and outlet of the adsorption bed, provides a data basis for the subsequent, further obtains the dynamic adsorption efficiency according to the change of the pressure difference and the difference of the concentration of the target gas at the inlet and outlet, represents the dynamic adsorption capacity of the adsorption bed, provides a basis for the subsequent analysis of the adsorption failure coefficient, further obtains the adsorption failure coefficient according to the change of the dynamic adsorption efficiency and the dynamic adsorption efficiency, represents the adsorption failure process of the adsorption bed, and facilitates the system to track the change of the adsorption performance of the adsorption bed, further obtains the load transfer factor according to the change of the adsorption failure coefficient of each stage adsorption bed, combined with the distribution of the adsorption failure coefficient of the upstream adsorption bed, captures the transfer characteristics of the adsorption load in the staged adsorption bed, establishes a cross-level linkage analysis mechanism, provides a basis for the subsequent main load position of the staged adsorption system, and finally obtains the main load position according to the distribution of the current load transfer factor and the change of the adsorption failure coefficient, combined with the position of the adsorption bed, provides accurate monitoring data. The present application dynamically calculates the adsorption efficiency and failure coefficient by monitoring the pressure difference and gas concentration of each stage adsorption bed, and then analyzes the load transfer factor, accurately tracks the transmission path and main load state of the adsorption load in the staged system, provides a reliable basis for predicting the change of the adsorption performance and fine management. BRIEF DESCRIPTION OF DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, and the advantages thereof, the drawings needed to be used in the embodiments or prior art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained without creative labor based on these drawings.

[0016] Figure 1 The system block diagram of a real-time monitoring system for toxic gas staged adsorption in a medical laboratory provided by an embodiment of the present application; Figure 2 A flow chart of a method for obtaining dynamic adsorption performance according to an embodiment of the present application. DETAILED DESCRIPTION

[0017] In order to further clarify the technical means and effects taken by the present application to achieve the predetermined object, the following describes in detail the specific implementation, structure, features and effects of a real-time monitoring system for toxic gas hierarchical adsorption in a medical laboratory according to the present application, with reference to the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures or characteristics in one or more embodiments can be combined in any suitable form.

[0018] 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 the present application belongs.

[0019] The following describes in detail the specific scheme of a real-time monitoring system for toxic gas hierarchical adsorption in a medical laboratory according to the present application, with reference to the accompanying drawings.

[0020] Please refer to Figure 1 which shows a system block diagram of a real-time monitoring system for toxic gas hierarchical adsorption in a medical laboratory according to an embodiment of the present application. The system includes a data acquisition module 101, an adsorption analysis module 102 and a load analysis module 103.

[0021] The data acquisition module 101 is configured to select toxic gas components one by one as target gases, and acquire the pressure difference of the inlet and outlet of each adsorption bed and the concentration of the target gases.

[0022] In a medical laboratory, the toxic gas components are complex, and there is no universal adsorbent that can handle all gases. Different types of adsorbents have the best adsorption effect on gas molecules with different physicochemical properties. Therefore, by hierarchical combination of broad-spectrum adsorbents and targeted adsorbents, different levels of adsorption are used to adsorb specific gases with different properties in toxic gases; and the gas components that may cause adverse reactions are separated and treated in different levels.

[0023] In an embodiment of the present application, before hierarchical treatment, the toxic gas is subjected to primary pretreatment using a broad-spectrum adsorbent (such as high-performance granular activated carbon), which mainly adsorbs high-flow and high-concentration nonpolar or weakly polar VOCs and removes dust.

[0024] The toxic gas components are selected as target gases one by one for analysis one by one; for the same target gas, the adsorption treatment of the adsorption beds connected in series includes monitoring the concentration of the specific gas before and after the adsorption treatment of each stage, obtaining the concentration of the target gas at the inlet and outlet, and continuously monitoring the pressure difference between the inlet and outlet of each adsorption bed to provide data basis for the subsequent.

[0025] It should be noted that the adsorption beds are sorted and graded in the order of the flow of the gas, the pressure difference between the inlet and outlet of the adsorption bed is the absolute value of the difference in pressure, the collection frequency of the gas concentration and the pressure difference can be set to 1 Hz, the concentration of the target gas at the outlet of the upper stage can be used as the gas concentration at the inlet of the adjacent lower stage, and there are at least three adsorption beds connected in series for each gas. The design of the graded adsorption treatment can be adjusted according to the actual adsorption needs of the toxic gas components, and the collection method of the gas concentration and the pressure is a known technology, and the collection frequency is adjusted by the implementer, which will not be repeated here.

[0026] It should be noted that the analysis process for each gas is consistent, and only one example is described here, which will not be repeated.

[0027] The adsorption analysis module 102 is used to obtain the current dynamic adsorption efficiency of each adsorption bed according to the change of the pressure difference of each adsorption bed and the difference in the concentration of the target gas at the inlet and outlet, and obtain the current adsorption failure coefficient of each adsorption bed according to the change of the dynamic adsorption efficiency and the dynamic adsorption efficiency.

[0028] In each adsorption stage, the pressure difference between the inlet and outlet of the adsorption bed reflects the stereoscopic mechanical properties of the current adsorption bed, and the concentration of the target gas at the inlet and outlet reflects the adsorption of the adsorption bed to the gas. Therefore, first, the current dynamic adsorption efficiency of each adsorption bed is obtained according to the change of the pressure difference of each adsorption bed and the difference in the concentration of the target gas at the inlet and outlet, which represents 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.

[0029] Preferably, in one embodiment of the present application, please refer to Figure 2 which shows a flow chart of a method for obtaining dynamic adsorption efficiency provided by one embodiment of the present application, specifically including: Step S201: obtaining a concentration reduction factor according to the concentration reduction performance of the target gas at the inlet and outlet of the current adsorption bed.

[0030] Considering that the concentration reduction performance of the target gas after flowing through the adsorption bed reflects 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.

[0031] As an example, the ratio of the reduction in the concentration of the target gas at the outlet to the concentration at the inlet of the adsorption bed is taken as the concentration reduction factor of the corresponding adsorption bed at the corresponding time.

[0032] 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 time is taken as the numerator, the concentration at the inlet is taken as the denominator, and the fractional ratio is taken as the concentration reduction factor of the corresponding adsorption bed at the corresponding time.

[0033] Among them, in the form of a fractional ratio, the reduction in the concentration of the gas flowing through the adsorption bed is shown, which reflects the reduction in the concentration of the target gas at the inlet and outlet, and also reflects the difference in the concentration of the target gas at the inlet and outlet.

[0034] As another example, the difference between the concentration of the target gas at the inlet and the concentration at the outlet of any adsorption bed at any time can also be taken as the numerator, the highest concentration of the target gas preset as the denominator, and the fractional ratio as the concentration reduction factor of the corresponding adsorption bed at the corresponding time; the highest concentration can be the highest concentration in the historical record data.

[0035] Step S202: According to the difference between the current pressure difference and the pressure difference when the adsorption bed is new, the relative pressure difference factor is obtained.

[0036] In most medical laboratory toxic gas treatment scenarios, the adsorption bed is filled with solid adsorbent (such as activated carbon particles, impregnated carbon, molecular sieve, alumina ball, etc.); in each stage of adsorption, as the toxic gas passes through, the adsorbent powder accumulates, the bed porosity decreases, and the flow path is blocked, so 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 is shortened, and the dynamic adsorption efficiency of the adsorption bed is reduced. Therefore, the difference between the current pressure difference and the pressure difference when the adsorption bed is new is obtained to obtain the relative pressure difference factor.

[0037] As an example, the ratio of the pressure difference when the adsorption bed is new to the current pressure difference is taken as the relative pressure difference factor of the corresponding adsorption bed at the corresponding time, which shows the difference between the current pressure difference and the pressure difference when the adsorption bed is new in the form of a ratio, and reflects the change in the pressure difference of the adsorption bed.

[0038] Among them, in order to ensure the accuracy of the relative pressure difference factor, the system needs to maintain the gas flow rate entering the first stage of the adsorption bed at a preset value, which can be adjusted by the implementer. This is usually achieved by setting a flow meter and a variable frequency fan or a regulating valve in front of the system to form a closed loop control, which is a common means in the art; the pressure difference when the adsorption bed is new 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.

[0039] Step S203: fusing the concentration reduction factor and the relative pressure difference factor of each adsorption bed at the current stage to obtain the dynamic adsorption efficiency.

[0040] Further, the concentration reduction factor directly representing the adsorption efficiency and the relative pressure difference factor indirectly representing the adsorption efficiency from the pressure difference angle are fused to obtain the dynamic adsorption efficiency.

[0041] As an example, the product of the concentration reduction factor and the relative pressure difference factor of each adsorption bed at the current stage is linearly normalized in the data dimension corresponding to the target gas, and the normalized result is taken as the dynamic adsorption efficiency of each adsorption bed at the current stage; the dynamic adsorption efficiency is a specific data value.

[0042] It should be noted that for the purification unit (such as a scrubber) with liquid as the working medium that may exist in the system, the pressure difference mainly depends on the liquid level height, liquid viscosity, etc., and the relative pressure difference factor is not calculated, and the concentration reduction factor is directly taken as the dynamic adsorption efficiency.

[0043] It should be noted that in the embodiments of the present application, to prevent the denominator from being zero, a zero-excluding positive parameter such as 0.01 can be added at the denominator position; the analysis process of each adsorption bed at each time is consistent, and only one example is described here, and no further description is given.

[0044] For any adsorption bed in a staged adsorption process, a data sequence of the dynamic adsorption efficiency of the adsorption bed in a time sequence is obtained, reflecting the performance decay process of the adsorbent: the adsorbent is in a fresh state with a large number of unoccupied active sites and unobstructed flow channels at the initial adsorption, and as the adsorbent gradually adsorbs the target gas, the adsorption efficiency of the adsorbent gradually decreases, and the dynamic adsorption efficiency at this place gradually decreases from the high and stable state of the initial fresh adsorption state, and the dynamic adsorption efficiency for the target gas gradually decreases; finally, the adsorption function of the adsorption bed accelerates failure, and the dynamic adsorption efficiency of the adsorption bed gradually approaches zero, indicating that the adsorption bed has basically lost its function.

[0045] Therefore, according to the change of the dynamic adsorption efficiency, the decay rate and trend of the current adsorbent performance are reflected, and in combination with the current dynamic adsorption efficiency, the adsorption failure coefficient of each adsorption bed at the current stage is obtained as a supplement to the quantification of adsorption failure, the adsorption failure process of the adsorption bed is characterized, and the change of the adsorption performance of the adsorption bed is tracked by the system.

[0046] Preferably, in an embodiment of the present application, the smaller the current dynamic adsorption efficiency, the weaker the adsorption ability of the adsorption bed for the target gas, and the larger the adsorption failure coefficient; the absolute value of the change rate of the dynamic adsorption efficiency reflects the descending speed of the dynamic adsorption efficiency, the larger the absolute value, the faster the adsorption efficiency decreases, and the larger the adsorption failure coefficient. Based on this, the absolute value of the change rate of the current dynamic adsorption efficiency and the dynamic adsorption efficiency are fused to obtain the adsorption failure coefficient of the corresponding adsorption bed at the current time.

[0047] As an example, the change rate (slope) of the current dynamic adsorption efficiency and the dynamic adsorption efficiency at the previous monitoring time is obtained for any selected adsorption bed, and the absolute value is taken, 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 at the current time.

[0048] The adsorption failure coefficient at the first time after the adsorption bed is installed (or replaced) is directly set to 0, representing the initial state without attenuation; in order to avoid the influence of factors such as uneven airflow distribution in the adsorption bed and environmental temperature and humidity fluctuations, the change rate of the dynamic adsorption efficiency is positive, corresponding to the increase of the dynamic adsorption efficiency, and the dynamic adsorption efficiency is a comprehensive and relatively stable state parameter, which can effectively suppress the amplification of such interference signals and ensure the effectiveness of the adsorption failure coefficient.

[0049] The load analysis module 103 is used to obtain the load transfer factor of each adsorption bed at the current time according to 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 obtain the main load position of the target gas according to the distribution of the current load transfer factor and the change of the adsorption failure coefficient and the position of the adsorption bed.

[0050] Since the adsorption function of the adsorbent is limited, the dynamic adsorption efficiency will inevitably show a gradually declining trend, and when the upstream adsorbent gradually fails, the main adsorption load will be transferred to the next adsorption bed. Considering the change of the adsorption failure coefficient of each adsorption bed, which reflects the change of the adsorption performance failure of the adsorption bed caused by the treatment of the target gas, and the distribution of the adsorption failure coefficient of the upstream adsorption bed, which represents the failure of the adsorption performance of the upstream adsorption bed, the load transfer factor of each adsorption bed at the current time is obtained, the transfer characteristics of the adsorption load in the graded adsorption bed are captured at this time, a cross-level linkage analysis mechanism is established, and the main load position of the subsequent graded adsorption system is provided, and the basis for timely replacing or maintaining the adsorption bed is provided.

[0051] Preferably, in an embodiment of the present application, considering that the load transfer factor aims 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 the upstream load transfer, so the load transfer factor of the first adsorption bed is set to 0. Then, the non-first adsorption bed is selected as the target adsorption bed one by one for analysis. The adsorption failure coefficient of the upstream adsorption bed is greater, and the adsorption failure coefficient is in a stable state, indicating that the adsorption failure of the upstream adsorption bed is more complete, and the current target adsorption bed is subjected to greater load transfer. Therefore, according to the adsorption failure coefficient of each adsorption bed upstream of the target adsorption bed at the current time and the stability of the adsorption failure coefficient in the preset historical neighborhood, the upstream adsorption failure factor of the target adsorption bed at the current time is obtained.

[0052] As an example, the length of the preset historical neighborhood is 5 seconds, including the current and the last 4 historical data. Considering that the standard deviation can measure the stability of the data, the smaller the standard deviation, the stronger the stability, and the greater 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 adsorption failure sub-factor of each adsorption bed is obtained by combining the current adsorption failure coefficient and the standard deviation of the adsorption failure coefficient in the preset historical neighborhood. Specifically, for each adsorption bed upstream of the target adsorption bed, the current adsorption failure coefficient is taken as the numerator, the standard deviation of the adsorption failure coefficient in the preset historical neighborhood is taken as the denominator, and the ratio of the two is taken as the adsorption failure sub-factor of each adsorption bed at the current time.

[0053] Finally, the sum of the adsorption failure sub-factors of all adsorption beds upstream of the target adsorption bed is taken as the upstream adsorption failure factor of the target adsorption bed at the current time. The greater the sum, the more complete the failure of each adsorption bed upstream, and the greater the upstream adsorption failure factor.

[0054] Further, when the difference between the current adsorption failure coefficient and the adsorption failure coefficient of the adjacent previous time is greater, it indicates that the target adsorption bed is not in a stable state, and its performance is changing dramatically (such as accelerated failure or sudden load impact), and has a greater load transfer factor. At the same time, the upstream adsorption failure factor, the greater the adsorption pressure of the downstream adsorption bed, the greater the load transfer factor. Therefore, according to the difference between the current adsorption failure coefficient of the target adsorption bed and the adsorption failure coefficient of the adjacent previous time, and combining the upstream adsorption failure factor, the load transfer factor of the target adsorption bed at the current time is obtained.

[0055] As an example, the difference between the current adsorption failure coefficient and the adsorption failure coefficient of the adjacent previous time is expressed as 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 is taken as the difference value, and 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.

[0056] As another example, to avoid the order of magnitude of the upstream adsorption failure factor dominating the load transfer factor, the load transfer factor is linearly normalized in its corresponding data dimension, and the product of the normalized upstream adsorption failure factor and the difference value is taken as the load transfer factor of the target adsorption bed at the current time.

[0057] Ideally, the adsorption load is sequentially and unimodally transferred downward, however, in the actual adsorption process, there may be uneven airflow distribution in the adsorption bed, simultaneous activity of the upper and lower adsorption beds, or abnormal performance of a certain adsorbent, at this time, the balance of layer-by-layer adsorption is broken, and the further the position in the graded adsorption, the greater the adsorption bed of the load transfer factor, which is the actual safety barrier, therefore, the main load position of the target gas needs to be accurately obtained according to the distribution of the current load transfer factor and the change of the adsorption failure coefficient, combined with the position of the adsorption bed, to provide accurate monitoring data.

[0058] Preferably, in an embodiment of the present application, all adsorption beds are first arranged in the order of the current load transfer factor according to the gas flow sequence; In the sequence of the load transfer factor of all adsorption beds from top to bottom, from the completely failed adsorption bed to the adsorption bed where the main adsorption load is located at this time, the load transfer factor will show an upward trend, and for the subsequent adsorption beds that have not started adsorption or have been partially adsorbed by the toxic gas that comes first, the load transfer factor will show a smaller value, so the adsorption beds to be analyzed are screened according to the distribution of the load transfer factor in the sequence; As an example, considering that the maximum value point accurately captures the local peak position of the downward transfer of the adsorption load in the hierarchical system, the adsorption beds with maximum value points in the sequence are marked as adsorption beds to be analyzed one by one.

[0059] Considering that when it belongs to the main adsorption load position, the adsorption failure process should show a continuous increasing trend, and when it is in the relatively downstream position of the adsorption bed position, it is more likely to be the actual safety barrier, therefore, the load effectiveness is obtained according to the change rate of the current adsorption failure coefficient of the adsorption bed to be analyzed, combined with the degree of position lag of the adsorption bed to be analyzed.

[0060] As an example, the ratio of the serial number of the adsorption bed to be analyzed to the maximum serial number of all adsorption beds is taken as the position lag coefficient, which represents the degree of position lag, and the product of the change rate (slope) of the current adsorption failure coefficient of the adsorption bed to be analyzed and the position lag coefficient is taken as the load effectiveness of the adsorption bed to be analyzed.

[0061] The position of the adsorption bed with the maximum load effectiveness is selected as the main load position.

[0062] 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.

[0063] In an embodiment of the present application, after obtaining the main load position, it further includes: When the main load position is located at the last stage of the adsorbed target gas and the adsorption failure coefficient is greater than the preset failure threshold, a replacement signal is sent.

[0064] As an example, the preset failure threshold is set to 50% of the historical maximum adsorption failure coefficient, and in other embodiments of the application, the implementer can adjust it.

[0065] It should be noted that in another embodiment of the application, the implementer can only analyze the data of several adsorption beds corresponding to each target gas, for example, when designing, gas A is adsorbed by three adsorption beds with levels 10, 11 and 12, and when A is the target gas, only the data of the three adsorption beds with levels 10-12 can be analyzed; the adsorption beds on both sides can also be analyzed, for example, the data of the adsorption beds with levels 9-13 can be analyzed.

[0066] It should be noted that, considering the continuity of the main load position in time and the infrequent mutation, a longer update frequency, for example, 15 seconds / time, can be set to reduce the system calculation load and avoid false positives caused by data fluctuations.

[0067] Finally, the system obtains real-time dynamic adsorption efficiency, adsorption failure coefficient, load transfer factor and main load position, which can be visualized and stored, and the multi-stage adsorption beds are associated, so that the transfer path of the adsorption load and the performance degradation process can be tracked, providing a reliable basis for predicting the performance change of the adsorbent and fine management.

[0068] In summary, in order to solve the technical problems of isolating the adsorption bed for monitoring, being unable to track the transfer of adsorption load and quantify the performance degradation in real time, and thus leading to inaccurate prediction and extensive management in the prior art, the present application provides a real-time monitoring system for toxic gas hierarchical adsorption in a medical laboratory. The present application first acquires the pressure difference and gas concentration data at the inlet and outlet of the adsorption bed, further acquires the dynamic adsorption efficiency according to the change of the pressure difference and the difference in the concentration of the target gas at the inlet and outlet, further acquires the adsorption failure coefficient according to the change of the dynamic adsorption efficiency and the dynamic adsorption efficiency, further acquires the load transfer factor according to the change of the adsorption failure coefficient of each stage of the adsorption bed in combination with the distribution of the adsorption failure coefficient of the upstream adsorption bed, and finally acquires the main load position according to the distribution of the current load transfer factor and the change of the adsorption failure coefficient in combination with the position of the adsorption bed. The present application dynamically calculates the adsorption efficiency and failure coefficient by monitoring the pressure difference and gas concentration of each stage of the adsorption bed, and then analyzes the load transfer factor to accurately track the transfer path and main load state of the adsorption load in the hierarchical system, thereby providing a reliable basis for predicting the performance change of the adsorbent and fine management.

[0069] It is to be noted that the sequential order of the above-described embodiments of the present application only for the purpose of description, but not the advantages and disadvantages of the embodiments. The processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multi-task processing and parallel processing are also possible or can be advantageous.

[0070] Each of the embodiments in the specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other. Each embodiment focuses on the difference 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 in combination with 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 the change of the adsorption failure coefficient in combination with a position of the adsorption bed.

2. The medical laboratory system for real-time monitoring of toxic gas fractionation adsorption according to claim 1, wherein, The method for acquiring the dynamic adsorption efficiency comprises: acquiring a concentration reduction factor according to a reduction of the concentration of the target gas at the inlet and the outlet of each adsorption bed; acquiring a relative pressure difference factor according to a difference between the current pressure difference and a brand-new pressure difference of each adsorption bed; fusing the concentration reduction factor and the relative pressure difference factor of each adsorption bed to acquire the dynamic adsorption efficiency.

3. The medical laboratory system for real-time monitoring of toxic gas fractionation adsorption according to claim 2, wherein, The method for acquiring the concentration reduction factor comprises: taking a ratio value of a reduction amplitude of the concentration of the target gas at the inlet and the outlet to an amplitude value of the concentration at the inlet as the concentration reduction factor of the corresponding adsorption bed at the corresponding time.

4. The medical laboratory system for real-time monitoring of toxic gas fractionation adsorption according to claim 2, wherein, The method for acquiring the relative pressure difference factor comprises: taking a ratio value of the brand-new pressure difference to the current pressure difference of the adsorption bed as the relative pressure difference factor of the corresponding adsorption bed at the corresponding time.

5. The medical laboratory system for real-time monitoring of toxic gas fractionation adsorption according to claim 1, wherein, The method for acquiring the adsorption failure coefficient comprises: fusing an absolute value of a change rate of the current dynamic adsorption efficiency and the dynamic adsorption efficiency to acquire the adsorption failure coefficient of the corresponding adsorption bed at the current time.

6. The medical laboratory system for real-time monitoring of toxic gas fractionation adsorption according to claim 1, wherein, The method for acquiring the load transfer factor comprises: setting the load transfer factor of the first adsorption bed as 0, selecting a non-first adsorption bed as a target adsorption bed one by one, and acquiring an upstream adsorption failure factor of the target adsorption bed at the current time according to the adsorption failure coefficient of each adsorption bed upstream of the target adsorption bed at the current time and stability of the adsorption failure coefficient in a preset historical neighborhood; acquiring the load transfer factor of the target adsorption bed at the current time according to a difference between the adsorption failure coefficient of the target adsorption bed at the current time and a previous time and the upstream adsorption failure factor.

7. The medical laboratory system for real-time monitoring of toxic gas fractionation adsorption according to claim 6, wherein, The method for acquiring the upstream adsorption failure factor comprises: for each adsorption bed upstream of the target adsorption bed, fusing the adsorption failure coefficient at the current time and a standard deviation of the adsorption failure coefficient in the preset historical neighborhood to acquire an adsorption failure sub-factor of each adsorption bed, and taking a sum value of the adsorption failure sub-factors of all the adsorption beds upstream as the upstream adsorption failure factor of the target adsorption bed at the current time.

8. The medical laboratory system for real-time monitoring of toxic gas fractionation adsorption according to claim 1, wherein, The method for acquiring the main load position comprises: arranging the load transfer factors of all the adsorption beds at the current time in sequence according to a gas flow-through order, and screening an adsorption bed to be analyzed according to a distribution of the load transfer factors in the sequence. According to the change rate of the adsorption failure coefficient of the to-be-analyzed adsorption bed at present, combined with the position lag degree of the to-be-analyzed adsorption bed, the load effectiveness is obtained; the position of the adsorption bed with the maximum load effectiveness is selected as the main load position.

9. The medical laboratory system for real-time monitoring of toxic gas fractionation adsorption according to claim 8, wherein, The obtaining method of the to-be-analyzed adsorption bed comprises: The adsorption beds with maximum points in the sequence are marked as to-be-analyzed adsorption beds one by one.

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

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