Ventilation filtering device, filtering device performance detection method and control device thereof

Abstract

The embodiment of the invention discloses a ventilation filtering device, a filtering device performance detection method and a control device thereof. The ventilation filtering device comprises a filtering assembly, an inlet pipeline, an outlet pipeline, an inlet monitoring module and an outlet monitoring module, the filtering assembly is used for filtering radioactive gas, the inlet pipeline and the outlet pipeline are communicated with an inlet and an outlet of the filtering assembly respectively, and the inlet monitoring module is arranged on the inlet pipeline; the monitoring module is arranged on the inlet pipeline and used for monitoring the particulate matter concentration of multiple particle size intervals in the radioactive gas in the inlet pipeline, and the outlet monitoring module is arranged on the outlet pipeline and used for monitoring the particulate matter concentration of multiple particle size intervals in the radioactive gas in the outlet pipeline. Through the inlet monitoring module and the outlet monitoring module, the inlet concentration and the outlet concentration of particulate matters passing through the filter assembly are monitored in real time, the running state of the filter assembly is judged, and tedious detection operation and pollution to the filter assembly are avoided. The filtering assembly is monitored in real time, and the detection result is timely and accurate.

Description

Technical Field

[0001] The embodiments of the present application relate to the technical field of nuclear reactors, and in particular, to a ventilation filtration device, a method for detecting the performance of a filtration device, and a control device therefor. Background Art

[0002] In radioactive workplaces such as nuclear facility plants, hot cell rooms, isotope production lines, and nuclear devices, the performance detection of the filtration device of the radioactive ventilation system is crucial, which is related to whether the radioactive airborne effluents meet the environmental radiation safety and is of great significance for protecting the environment and public health.

[0003] Currently, the main methods for detecting the performance of nuclear filtration devices for ventilation systems are the offline DOP (Dioctyl Phthalate) aerosol method and the fluorescein sodium method. The detection test requires formulating specific-sized particles in advance and injecting them into the exhaust system, and then measuring the amount of specific aerosol particles contained at the front and rear ends of the filtration device, and further calculating the filtration efficiency of the filtration device. This measurement method and measurement equipment are complex, and there is a risk of contaminating the filtration device. There is also a risk of the filtration device failing during the measurement period, and a risk of radioactive contamination leakage from the filtration device. Summary of the Invention

[0004] The present application aims to solve at least one of the technical problems existing in the prior art or related technologies.

[0005] To this end, a first aspect of the present invention provides a ventilation filtration device.

[0006] A second aspect of the present invention provides a method for detecting the performance of a filtration device.

[0007] A third aspect of the present invention provides a control device for a filtration device.

[0008] In view of this, according to a first aspect of the technical solution of the present application, a ventilation filtration device is proposed. The ventilation filtration device includes: a filtration component, an inlet pipeline, an outlet pipeline, an inlet monitoring module, and an outlet monitoring module. The filtration component is used to filter radioactive gas. The inlet pipeline and the outlet pipeline are respectively connected to the inlet and outlet of the filtration component. The inlet monitoring module is arranged in the inlet pipeline and is used to monitor the particulate matter concentration in the radioactive gas in the inlet pipeline in multiple particle size ranges. The outlet monitoring module is arranged in the outlet pipeline and is used to monitor the particulate matter concentration in the radioactive gas in the outlet pipeline in multiple particle size ranges.

[0009] In some technical solutions provided by the present application, optionally, the ventilation filtration device further includes an air volume monitoring component. In this technical solution, the air volume monitoring component is arranged in the inlet pipeline or the outlet pipeline, and the air volume monitoring component is used to monitor the air volume value flowing through the filtration component.

[0010] In some technical solutions provided by the present application, optionally, the ventilation and filtration device further includes a differential pressure monitoring member, which is disposed on the filtration component and is used to monitor the pressure difference between the inlet and the outlet of the filtration component.

[0011] In the technical solution of the second aspect of the present application, a method for detecting the performance of a filtration device is provided. The method for detecting the performance of the filtration device is used for the ventilation and filtration device provided in any of the above first aspect technical solutions of the present application. The method for detecting the performance of the filtration device includes: respectively obtaining the inlet concentration and the outlet concentration of the particulate matter in N particle size ranges in the radioactive gas through an inlet monitoring module and an outlet monitoring module; calculating the inlet occupancy ratio of the particulate matter in each of the N particle size ranges in the inlet pipeline and the classification efficiency of the filtration component. The classification efficiency is the ratio of the difference between the inlet concentration and the outlet concentration to the inlet concentration; calculating the total filtration efficiency of the particulate matter passing through the filtration component based on the classification efficiency and the inlet occupancy ratio; comparing the total filtration efficiency with the preset filtration efficiency of the filtration component; when the total filtration efficiency is greater than or equal to the preset filtration efficiency, it is determined that the filtration component is in a normal working state; where N is an integer greater than or equal to 1.

[0012] In some technical solutions provided by the present application, optionally, the step of calculating the total filtration efficiency of the particulate matter passing through the filtration component specifically includes: calculating the product of the inlet occupancy ratio and the classification efficiency of the particulate matter in any particle size range to determine the sub-filtration efficiency; adding the N sub-filtration efficiencies to determine the total filtration efficiency.

[0013] In some technical solutions provided by the present application, optionally, after the step of calculating the total filtration efficiency of the particulate matter passing through the filtration component, it further includes: obtaining the air volume value and the operation time of the filtration component; multiplying the air volume value and the operation time by the sub-filtration efficiency and the inlet concentration of the particulate matter in any particle size range to determine the sub-dust holding capacity; adding the N sub-dust holding capacities to determine the total dust holding capacity of the filtration component; comparing the total dust holding capacity with the preset dust holding capacity of the filtration component. When the total dust holding capacity is greater than or equal to the preset dust holding capacity, it is determined that the filtration component is in a state to be replaced.

[0014] In some technical solutions provided by the present application, optionally, after the step of determining the total dust holding capacity of the filtration component, it further includes: determining the remaining life parameter based on the ratio of the total dust holding capacity to the preset dust holding capacity; determining the remaining life of the filtration component based on the remaining life parameter and the theoretical life of the filtration component.

[0015] In some technical solutions provided by the present application, optionally, the method for detecting the performance of the filtering device further includes: obtaining the initial pressure difference of the filtering component; obtaining the pressure difference between the inlet and the outlet of the filtering component; determining a pressure difference parameter based on the pressure difference and the initial pressure difference; comparing the pressure difference parameter with a preset parameter; and when the pressure difference parameter is greater than or equal to the preset parameter, determining that the filtering component is in a state to be replaced.

[0016] In some technical solutions provided by the present application, optionally, the filtering component includes a plurality of filtering elements, and the filtering grade of any filtering element matches the particle size range of the particulate matter. Before the step of calculating the classification efficiency of the particulate matter in N particle size ranges passing through the filtering component respectively, it further includes: adjusting the combination mode of the filtering elements based on the inlet concentration of the particulate matter in N particle size ranges and the preset filtering efficiency according to the filtering grade.

[0017] In the technical solution of the third aspect of the present application, a control device for a filtering device is provided. The control device for the filtering device includes a processor and a memory. The memory stores a program or instruction that can run on the processor. When the program or instruction is executed by the processor, the steps of the method for detecting the performance of the filtering device provided in any one of the above-mentioned first aspect embodiments of the present application are implemented.

[0018] Compared with the prior art, the present invention at least includes the following beneficial effects:

[0019] Through the inlet monitoring module and the outlet monitoring module, the inlet concentration and the outlet concentration of the particulate matter passing through the filtering component are monitored in real time, and the filtering efficiency of the filtering component is calculated through the monitoring results, so as to further judge the operating state of the filtering component. The measuring device has a simple structure, and the filtering efficiency can be determined based on the daily operation of the filtering component, avoiding the additional preparation of particles and injection into the filtering component, which causes cumbersome detection operations and pollution to the filtering component. And the filtering component is monitored in real time, and the detection results are timely and accurate, which can timely detect the failure problem of the ventilation filtering device and reduce the risk of radioactive pollution leakage of the ventilation filtering device. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] By reading the detailed description of the preferred embodiments below, various other advantages and benefits will become clear to those of ordinary skill in the art. The drawings are only for the purpose of showing the preferred embodiments and are not considered to be a limitation of the present application. Moreover, throughout the drawings, the same reference numerals are used to represent the same components. In the drawings:

[0021] Figure 1 is a schematic structural diagram of a ventilation filtering device according to an embodiment provided by the present application;

[0022] Figure 2 is a schematic step flow chart of a method for detecting the performance of a filtering device according to an embodiment provided by the present application;

[0023] Figure 3 The structural block diagram of the control device of a control device for a filtering device provided in this application;

[0024] Figure 4 It shows a schematic step flow chart of a method for detecting the performance of a filtering device provided in another embodiment of this application.

[0025] Among them, Figures 1 to 4 The corresponding relationship between the reference numerals and the component names in the figure is as follows:

[0026] 10 Ventilation filtering device, 100 Filtering component, 200 Inlet pipeline, 300 Outlet pipeline, 400 Inlet monitoring module, 500 Outlet monitoring module, 600 Air volume monitoring component, 700 Pressure difference monitoring component, 800 Temperature and humidity monitoring component, 900 Control device of the filtering device, 910 Memory, 920 Processor. Specific embodiments

[0027] In order to better understand the above technical solutions, the technical solutions of the embodiments of this application will be described in detail below through the accompanying drawings and specific embodiments. It should be understood that the specific features in the embodiments of this application and the embodiments are detailed descriptions of the technical solutions of the embodiments of this application, rather than limitations on the technical solutions of this application. Without conflict, the technical features in the embodiments of this application and the embodiments can be combined with each other.

[0028] The first aspect embodiment of this application provides a ventilation filtering device 10, as Figure 1 shown, the ventilation filtering device 10 includes: a filtering component 100, an inlet pipeline 200, an outlet pipeline 300, an inlet monitoring module 400 and an outlet monitoring module 500. The filtering component 100 is used to filter radioactive gas. The inlet pipeline 200 and the outlet pipeline 300 are respectively communicated with the inlet and outlet of the filtering component 100. The inlet monitoring module 400 is arranged in the inlet pipeline 200 and is used to monitor the particulate matter concentration in multiple particle size ranges in the radioactive gas in the inlet pipeline 200. The outlet monitoring module 500 is arranged in the outlet pipeline 300 and is used to monitor the particulate matter concentration in multiple particle size ranges in the radioactive gas in the outlet pipeline 300.

[0029] In this embodiment, the filtering component 100 is arranged in the exhaust system of the radioactive workplace. The gas discharged from the exhaust system contains particulate matter with different particle sizes. Since the particulate matter is radioactive, the discharged gas becomes radioactive gas. Figure 1 The arrow direction in shows the gas flow direction. The filtering component 100 is used to filter the particulate matter in the gas.

[0030] An inlet pipe 200 and an outlet pipe 300 are respectively provided at the inlet and outlet of the filtration component 100. An inlet monitoring module 400 is provided on the inlet pipe 200, and an outlet monitoring module 500 is provided on the outlet pipe 300. The inlet monitoring module 400 and the outlet monitoring module 500 can monitor the particulate matter concentration in multiple particle size ranges in the radioactive gas, that is, monitor the particulate matter concentration of different particle sizes in the inlet pipe 200 and the outlet pipe 300.

[0031] Exemplarily, the particle size range of the particulate matter is from 1 μm to 10 μm, and the particle size interval can be the range between two particle sizes. For example, the particle size intervals are respectively from 1 μm to 2 μm, and from 2 μm to 3 μm, etc. The particle size interval can also be the value of a certain particle size. For example, the particle size intervals are respectively 1 μm, 2 μm, and 3 μm, etc.

[0032] Exemplarily, the inlet monitoring module 400 and the outlet monitoring module 500 can be multi - particle size spectrum aerosol sensors.

[0033] Through the inlet monitoring module 400 and the outlet monitoring module 500, the inlet concentration and the outlet concentration of the particulate matter passing through the filtration component 100 are monitored in real time, and the filtration efficiency of the filtration component 100 is calculated through the monitoring results, thereby judging the operating state of the filtration component 100. The measuring device has a simple structure, and the filtration efficiency can be determined based on the daily operation of the filtration component 100, avoiding the need to specifically prepare particles and inject them into the filtration component 100, which causes cumbersome detection operations and contamination of the filtration component 100. And by taking real - time monitoring of the filtration component 100, the detection results are timely and accurate, and the failure problem of the ventilation filtration device 10 can be discovered in time, reducing the risk of radioactive pollution leakage of the ventilation filtration device 10.

[0034] In some embodiments provided by the present application, as Figure 1 shown, optionally, the ventilation filtration device 10 further includes an air volume monitoring component 600. In this embodiment, the air volume monitoring component 600 is provided on the inlet pipe 200 or the outlet pipe 300, and the air volume monitoring component 600 is used to monitor the air volume value flowing through the filtration component 100.

[0035] In this embodiment, an air volume monitoring component 600 is provided on the inlet pipe 200 or the outlet pipe 300. The air volume monitoring component 600 can monitor the ventilation volume in the inlet pipe 200 or the outlet pipe 300, and then monitor the air volume value flowing through the filtration component 100. By calculating the total dust - holding capacity of the filtration component 100 through the air volume value, the operating state of the filtration component 100 is judged, improving the accuracy and convenience of detecting the filtration component 100.

[0036] Exemplarily, the air volume monitoring component 600 can be an air volume sensor.

[0037] In some embodiments provided by the present application, asFigure 1 As shown, optionally, the ventilation and filtration device 10 further includes a differential pressure monitoring member 700 disposed on the filtration assembly 100, and the differential pressure monitoring member 700 is used to monitor the pressure difference between the inlet and the outlet of the filtration assembly 100.

[0038] In this embodiment, a differential pressure monitoring member 700 is disposed on the filtration assembly 100. The differential pressure monitoring member 700 can monitor the pressure difference between the inlet and the outlet of the filtration assembly 100, and judge the operating state of the filtration assembly 100 through the pressure difference, improving the accuracy and convenience of detecting the filtration assembly 100.

[0039] Exemplarily, the differential pressure monitoring member 700 can be a differential pressure sensor.

[0040] In some embodiments provided by the present application, as Figure 1 shown, optionally, the ventilation and filtration device 10 further includes a temperature and humidity monitoring member 800 disposed in the outlet pipeline 300.

[0041] In this embodiment, a temperature and humidity monitoring member 800 is disposed on the outlet pipeline 300. The temperature and humidity monitoring member 800 can monitor the temperature and humidity in the outlet pipeline 300, and further monitor the outlet environment of the filtration assembly 100. Judge the operating state and working environment of the filtration assembly 100 through the temperature and humidity at the outlet, improving the accuracy and convenience of detecting the filtration assembly 100.

[0042] Exemplarily, the temperature and humidity monitoring member 800 can be a thermometer and hygrometer.

[0043] In the second aspect of the embodiments of the present application, a method for detecting the performance of a filtration device is provided. As Figure 2 shown, the method for detecting the performance of the filtration device is used for the ventilation and filtration device provided in any of the above first aspect embodiments of the present application. The method for detecting the performance of the filtration device includes:

[0044] Step 102, respectively obtain the inlet concentration and the outlet concentration of the particulate matter in N particle size ranges in the radioactive gas through the inlet monitoring module and the outlet monitoring module;

[0045] Step 104, calculate the inlet occupancy ratio of the particulate matter in the N particle size ranges in the inlet pipeline respectively, and the classification efficiency of the filtration assembly. The classification efficiency is the ratio of the difference between the inlet concentration and the outlet concentration to the inlet concentration;

[0046] Step 106, calculate the total filtration efficiency of the particulate matter passing through the filtration assembly based on the classification efficiency and the inlet occupancy ratio;

[0047] Step 108, compare the total filtration efficiency with the preset filtration efficiency of the filtration assembly;

[0048] Step 110: When the total filtration efficiency is greater than or equal to the preset filtration efficiency, it is determined that the filtration component is in a normal working state;

[0049] Where N is an integer greater than or equal to 1.

[0050] In this embodiment, the radioactive gas contains particulate matter. The particulate matter is divided into N particle size ranges according to the particle size value. The inlet concentration Cu of the particulate matter in any particle size range in the inlet pipeline can be obtained through the inlet monitoring module i , and the N inlet concentrations are respectively Cu 1 , Cu 2 ... Cu N . The outlet concentration Cd of the particulate matter in any particle size range in the outlet pipeline can be obtained through the outlet monitoring module i , and the N outlet concentrations are respectively Cd 1 , Cd 2 ... Cd N .

[0051] Based on the inlet concentration Cu of the particulate matter i , the inlet occupancy ratio ξ of the particulate matter in any particle size range in the inlet pipeline is calculated i , and the N inlet occupancy ratios are respectively ξ 1 , ξ 2 ... ξ N , where:

[0052]

[0053] Based on the inlet concentration Cu of the particulate matter i and the outlet concentration Cd i , the fractional efficiency η of the particulate matter in any particle size range passing through the filtration component is calculated i , and the N fractional efficiencies are respectively η 1 , η 2 ... η N , where:

[0054]

[0055] The inlet occupancy ratio ξ i represents the proportion of the particulate matter, and the fractional efficiency η i represents the filtration ability of the filtration component for the particulate matter. Based on the fractional efficiency η i of any particulate matter and the inlet occupancy ratio ξ i , the total filtration efficiency η of all particulate matter passing through the filtration component can be calculated s .

[0056] Determine the preset filtration efficiency of the filtration component. The preset filtration efficiency can be the standard filtration efficiency value set when the filtration component leaves the factory, or can be set by itself according to the actual operation situation and the expected filtration effect. Compare the total filtration efficiency with the preset filtration efficiency of the filtration component, and judge the operation state of the filtration component based on the comparison result.

[0057] Specifically, when the total filtration efficiency is greater than or equal to the preset filtration efficiency, it indicates that the filtration efficiency of the filtration component is high and the filtration effect is within the expected range, and it is judged that the filtration component is in a normal working state. When the total filtration efficiency is less than the preset filtration efficiency, it indicates that the filtration efficiency of the filtration component is low and the filtration effect does not meet the expected effect, and it is judged that the filtration component is in a state to be replaced so as to replace the filtration component.

[0058] Through the inlet monitoring module and the outlet monitoring module, the inlet concentration and the outlet concentration of the particulate matter passing through the filtration component are monitored in real time, and the filtration efficiency of the filtration component is calculated through the monitoring results, and then the operation state of the filtration component is judged. The measuring device has a simple structure, and the filtration efficiency can be determined based on the daily operation of the filtration component, avoiding the extra preparation of particles and injection into the filtration component, resulting in cumbersome detection operations and pollution of the filtration component. And the filtration component is monitored in real time, and the detection result is timely and accurate, and the failure problem of the filtration device can be found in time, reducing the risk of radioactive pollution leakage of the filtration device.

[0059] In some embodiments provided by the present application, optionally, in the step of calculating the total filtration efficiency of the particulate matter passing through the filtration component, it specifically includes: calculating the product of the inlet occupancy ratio and the fractional efficiency of the particulate matter in any particle size range to determine the sub-filtration efficiency; adding N sub-filtration efficiencies to determine the total filtration efficiency.

[0060] In this embodiment, based on the fractional efficiency η of any particulate matter i and the inlet occupancy ratio ξ i , determine the total filtration efficiency η of all particulate matters passing through the filtration component s , where:

[0061]

[0062] By multiplying the inlet occupancy ratio of the particulate matter in any particle size range by the fractional efficiency, the sub-filtration efficiency of the particulate matter is determined. The sub-filtration efficiency represents the filtration ability of the filtration component for the particulate matter in this particle size range. Adding all sub-filtration efficiencies to determine the total filtration efficiency. The total filtration efficiency represents the filtration ability of the filtration component for all particle size ranges of particulate matter, that is, the filtration state of the filtration component. Furthermore, the operation state of the filtration component is determined through the total filtration efficiency, improving the accuracy of judging the state of the filtration component.

[0063] In some embodiments provided by the present application, optionally, after the step of calculating the total filtration efficiency of the particulate matter passing through the filter component, the following steps are further included: obtaining the air volume value and operating time of the filter component; multiplying the air volume value and the operating time by the sub-filtration efficiency and the inlet concentration of the particulate matter in any particle size range to determine the sub-dust holding capacity; adding N sub-dust holding capacities to determine the total dust holding capacity of the filter component; comparing the total dust holding capacity with the preset dust holding capacity of the filter component, and when the total dust holding capacity is greater than or equal to the preset dust holding capacity, determining that the filter component is in a state to be replaced.

[0064] In this embodiment, the air volume value q of the filter component is obtained through the air volume monitoring component. Based on the air volume value q and the operating time t, and based on the cumulative operating air volume Q = q×t, the sub-dust holding capacity W of the filter component for the particulate matter in any particle size range is determined. i , and the N sub-dust holding capacities are respectively W i 、W 2 ……W N , and based on the sub-dust holding capacity W i , the total dust holding capacity W of the filter component is determined. s , where:

[0065] W i =q×t×η i ×Cu i (4)

[0066]

[0067] Among them, the sub-dust holding capacity represents the filtration amount of the particulate matter in this particle size range by the filter component, and the total dust holding capacity represents the filtration amount of the particulate matter in all particle size ranges by the filter component.

[0068] As the filter component operates, the amount of particles it holds will increase, and the total dust holding capacity will continuously increase. Comparing the total dust holding capacity with the preset dust holding capacity of the filter component, when the total dust holding capacity is greater than or equal to the preset dust holding capacity, it indicates that the amount of particles in the filter component has reached the accommodation limit, the filter component is in a saturated state, and it is determined that the filter component is in a state to be replaced, so as to replace the filter component. When the total dust holding capacity is less than the preset dust holding capacity, it indicates that there is free accommodation space in the filter component, and it is determined that the filter component is in a normal working state. Furthermore, based on the dust holding capacity of the filter component, the operating state of the filter component is determined, improving the accuracy of judging the state of the filter component.

[0069] In some embodiments provided by the present application, optionally, after the step of determining the total dust holding capacity of the filter component, the following steps are further included: determining the remaining life parameter based on the ratio of the total dust holding capacity to the preset dust holding capacity; determining the remaining life of the filter component based on the remaining life parameter and the theoretical life of the filter component.

[0070] In this embodiment, the preset dust holding capacity W of the filter component is determined.e and the theoretical life T, and a preset dust holding capacity W e and the theoretical life T can be the rated dust holding capacity value and the rated life value set for the filter component at the time of factory shipment. Based on the total dust holding capacity W s , the preset dust holding capacity W e and the theoretical life T, determine the remaining life Y of the filter component, where:

[0071] Y = (1 - W s ÷W e )×T(6)

[0072] Obtain the remaining life of the filter component through the total dust holding capacity, improving the intuitiveness and accuracy of monitoring the operating state of the filter component.

[0073] In some embodiments provided by the present application, optionally, the filter device performance detection method further includes: obtaining the initial pressure difference of the filter component; obtaining the pressure difference value between the inlet and outlet of the filter component; determining a pressure difference parameter based on the pressure difference value and the initial pressure difference; comparing the pressure difference parameter with a preset parameter; when the pressure difference parameter is greater than or equal to the preset parameter, determining that the filter component is in a state to be replaced.

[0074] In this embodiment, obtaining the initial pressure difference of the filter component, the initial pressure difference can be the pressure difference value at a specified time in the initial stage of operation between the inlet and outlet of the filter component, or the average pressure difference value within a specified time period in the initial stage of operation between the inlet and outlet of the filter component, or a reference pressure difference value selected according to the operating environment and filtering requirements of the filter component.

[0075] Obtain the pressure difference value between the inlet and outlet of the filter component through a pressure difference monitoring member. As the filter component operates, the amount of particles it holds will increase, and the pressure difference value between the inlet and outlet will continuously increase. Determine the pressure difference parameter based on the pressure difference value and the initial pressure difference, and compare the pressure difference parameter with the preset parameter. When the pressure difference parameter is greater than or equal to the preset parameter, it indicates that the pressure difference of the filter component is in an extreme state, and it is determined that the filter component is in a state to be replaced, so as to replace the filter component. When the pressure difference parameter is less than the preset parameter, it indicates that there is an idle accommodation space in the filter component, and it is determined that the filter component is in a normal working state. Furthermore, determine the operating state of the filter component based on the pressure difference value of the filter component, improving the accuracy of judging the state of the filter component.

[0076] In a possible embodiment, the pressure difference parameter is the quotient of the pressure difference value and the initial pressure difference, and the preset parameter is 1.5 to 2.

[0077] In another possible embodiment, the pressure difference parameter is the difference between the pressure difference value and the initial pressure difference.

[0078] In some embodiments provided by the present application, optionally, the filtering component includes a plurality of filtering elements, and the filtering level of any filtering element matches the particle size range of the particulate matter. Before the step of calculating the classification efficiency of the particulate matter in N particle size ranges passing through the filtering component respectively, the method further includes: adjusting the combination mode of the filtering elements based on the filtering level according to the inlet concentration of the particulate matter in N particle size ranges and the preset filtering efficiency.

[0079] In this embodiment, the filtering component is composed of a plurality of filtering elements, and the filtering level of the filtering element matches the particle size range of the particulate matter, that is, the filtering element has a good filtering effect on the particulate matter in this particle size range, and the filtering element mainly filters the particulate matter within this particle size range. According to the inlet concentration of the particulate matter and the preset filtering efficiency, the filtering elements are combined based on the filtering level, which ensures the filtering effect and service life of the filter, and improves the adaptability and filtering accuracy of the filtering component.

[0080] Exemplarily, the filtering levels include: low level, medium level, and high level. The low level matches the particle size range with large values, and the high level matches the particle size range with small values. When the inlet concentration of the particulate matter in the particle size range with small values is high, it indicates that the content of small-sized particulate matter in the gas is high, and the number of high-level filtering elements needs to be increased. When the preset filtering efficiency of the filtering component is high, that is, the requirement for the filtering effect is high, the number of high-level filtering elements needs to be increased.

[0081] In the third aspect of the embodiments of the present application, a control device 900 of a filtering device is provided, as Figure 3 shown. The control device 900 of the filtering device includes a processor 920 and a memory 910. The memory 910 stores a program or instruction that can run on the processor 920. When the program or instruction is executed by the processor 920, the steps of the filtering device performance detection method provided in any one of the above-mentioned first aspect embodiments of the present application are implemented.

[0082] In this embodiment, it should be noted that when the program or instruction running on the control device 900 of the filtering device is executed by the processor 920, the steps of the filtering device performance detection method provided in any one of the above-mentioned first aspect embodiments of the present application are implemented. Therefore, it has all the beneficial technical effects of the above-mentioned filtering device performance detection method. To avoid repetition, it will not be elaborated here.

[0083] In a specific embodiment, on the inlet pipeline 200 of the radioactive ventilation filtering device 10, a multi-size spectrum aerosol sensor and a filter differential pressure gauge (i.e., the differential pressure monitoring component 700) are provided. On the housing of the ventilation filtering device 10, a filter (i.e., the filtering component 100) is provided. The filtering component 100 may include multiple stages of filter elements (i.e., filtering elements). On the outlet pipeline 300 of the ventilation filtering device 10, a multi-size spectrum aerosol sensor, an air flow meter (i.e., the air flow monitoring component 600), and a temperature and humidity meter are provided.

[0084] As Figure 4 shown, the cumulative operating air volume within a set time is calculated. A flow monitoring module is set at the inlet of the filter to monitor the operating air volume at the filter inlet in real time and calculate the operating air volume within the set time. At this time, both a definite value of the set time and a definite value of the air volume within the set time can be obtained.

[0085] Based on the multi - particle - size spectrum aerosol monitoring module set at the inlet of the filter, the real - time waste gas quality data at the inlet of the ventilation air purification device is measured. The waste gas quality data refers to the concentration of particulate matter from 1μm to 10μm. A ventilation waste gas quality detector can directly detect the real - time ventilation waste gas quality data. The multi - particle - size spectrum aerosol monitoring module is connected to a computer unit, and an evaluation model is installed in the computer unit. By inputting the monitored and calculated data into the evaluation model, rapid data statistics and calculations are achieved.

[0086] According to the content of dust in various particle - size ranges popped up by the monitoring module and input into the computer, the computer directly simulates a curve of the basic dust particle sizes of a group of this ventilation system, and then obtains the proportion of dust with different particle sizes. The proportion of dust particle sizes is the proportion of the content of dust in each particle - size range to the total dust content. Simulating the dust particle - size curve and the proportion of dust can accurately analyze the proportion of dust with each particle size in this ventilation system, so as to reasonably plan the filter combination, ensure the filtering effect and service life of the filter, and avoid setting useless configurations in the filter combination, that is, filter sections that cannot achieve the filtering effect are generated in the filter.

[0087] Since the types and efficiency grades of each section of the filter are known, the theoretical efficiency corresponding to each section of the filter is the experimental data marked at the time of filter factory production, which is known data. Based on the inlet proportion and inlet concentration, as well as the theoretical efficiency of the filter, the downstream dust concentration after the waste gas passes through the filter can be calculated, and the dust particle - size curve after filtration can be re - simulated.

[0088] Based on the total filtration efficiency calculated, the total dust - holding capacity of the filter is determined, and the life of the filter can be predicted. The dust - holding capacity of the filter in this area is divided by the experimental dust - holding capacity (i.e., the rated dust - holding capacity) when the filter itself leaves the factory to obtain the usage share, and the remaining share is then multiplied by the test life of the filter combination to obtain the filtration life of the filter when used in this area.

[0089] The change in the filter differential pressure is also used for filter replacement. If the final differential pressure of the filter gradually increases and exceeds 1.5 to 2 times the initial differential pressure of filtration, the filter is replaced. When the filter differential pressure is not exceeded, the performance of the filter is judged by referring to the filter efficiency and dust - holding capacity.

[0090] The present invention accurately calculates the dust filtration efficiency of the filter in the air purification device through the real-time waste gas quality data of different radioactive ventilation systems, combined with information such as the filter efficiency grade and type. The dust holding capacity and service life of the filter are quickly calculated through the dust filtration efficiency, avoiding radioactive contamination of the working environment due to filter failure, improving work efficiency, and avoiding waste of filter resources. According to the dust particle size curve at the inlet of the ventilation system and analyzing the performance of different filter combinations, the optimal filter combination can be selected to reduce the generation amount of radioactive waste. The most suitable filter combination in the current season can be calculated according to the ambient air quality data in different seasons.

[0091] In the present invention, the terms "first", "second", "third" are only used for descriptive purposes and cannot be construed as indicating or implying relative importance; the term "plurality" means two or more, unless otherwise clearly defined. Terms such as "installed", "connected", "connected to", "fixed" and the like should be understood in a broad sense. For example, "connected" can be a fixed connection, a detachable connection, or an integral connection; "connected" can be a direct connection or an indirect connection through an intermediate medium. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0092] In the description of the present invention, it should be understood that the orientation or positional relationship indicated by the terms "upper", "lower", "left", "right", "front", "rear", etc. is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or unit referred to must have a specific direction, be constructed and operated in a specific orientation, and therefore cannot be construed as a limitation of the present invention.

[0093] In the description of this specification, the descriptions of terms such as "one embodiment", "some embodiments", "specific embodiments", etc. mean that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in a suitable manner in any one or more embodiments or examples.

[0094] The above are only the preferred embodiments of the present invention and are not used to limit the present invention. For those skilled in the art, the present invention can have various changes and modifications. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A ventilation and filtering device, characterized in that: include: A filter assembly for filtering radioactive gases; an inlet pipeline and an outlet pipeline, respectively communicating with the inlet and outlet of the filter assembly; An inlet monitoring module, provided in the inlet pipeline, for monitoring the concentration of particles in multiple particle size ranges in the radioactive gas in the inlet pipeline; The outlet monitoring module is arranged in the outlet pipeline and is used to monitor the concentration of particles in multiple particle size ranges in the radioactive gas in the outlet pipeline.

2. The ventilation and filtering device according to claim 1, characterized in that: Also includes: An air volume monitoring component is arranged in the inlet pipeline or the outlet pipeline, and the air volume monitoring component is used to monitor the air volume value flowing through the filter component.

3. The ventilation and filtering device according to claim 1, characterized in that: Also includes: A pressure difference monitoring component is arranged on the filter assembly, and is used to monitor the pressure difference value between the inlet and the outlet of the filter assembly.

4. A method for detecting performance of a filter device, characterized in that: For use in a ventilation filter device according to any one of claims 1 to 3, the filter device performance detection method comprises: The inlet concentration and outlet concentration of particles in N particle size intervals in the radioactive gas are obtained through the inlet monitoring module and the outlet monitoring module respectively; Calculate the inlet proportion of particles of N particle size intervals in the inlet pipeline and the classification efficiency after the filter assembly, where the classification efficiency is the ratio of the difference between the inlet concentration and the outlet concentration to the inlet concentration; Calculating the total filtration efficiency of particulate matter passing through the filter assembly based on the classification efficiency and the inlet ratio; comparing the total filtration efficiency with a preset filtration efficiency of the filtration assembly; When the total filtration efficiency is greater than or equal to the preset filtration efficiency, it is determined that the filtration component is in a normal working state; Wherein, N is an integer greater than or equal to 1.

5. The method for detecting the performance of a filter device according to claim 4, characterized in that: The step of calculating the total filtration efficiency of particulate matter passing through the filter assembly specifically includes: Calculate the product of the inlet ratio of particles in any particle size range and the classification efficiency to determine the sub-filtration efficiency; The total filtration efficiency is determined by adding the N sub-filtration efficiencies.

6. The method for detecting the performance of a filter device according to claim 4, characterized in that: After the step of calculating the total filtration efficiency of the particulate matter passing through the filter assembly, the method further includes: Obtaining the air volume value and operating time of the filter component; The sub-dust holding capacity is determined by multiplying the air volume value and the operating time with the sub-filtration efficiency and the inlet concentration of particulate matter in any particle size range; Adding the N sub-dust holding capacities to determine the total dust holding capacity of the filter assembly; The total dust holding capacity is compared with a preset dust holding capacity of the filter assembly, and when the total dust holding capacity is greater than or equal to the preset dust holding capacity, it is determined that the filter assembly is in a state to be replaced.

7. The method for detecting the performance of a filter device according to claim 6, characterized in that: After the step of determining the total dust holding capacity of the filter assembly, the method further includes: Determining a remaining life parameter based on a ratio of the total dust holding capacity to the preset dust holding capacity; Based on the remaining life parameter and a theoretical life of the filter assembly, a remaining life of the filter assembly is determined.

8. The method for detecting the performance of a filter device according to any one of claims 4 to 7, characterized in that: Also includes: Obtaining an initial pressure difference of the filter assembly; Obtaining a pressure difference value between an inlet and an outlet of the filter assembly; Determining a pressure difference parameter based on the pressure difference value and the initial pressure difference; comparing the pressure difference parameter with a preset parameter; When the pressure difference parameter is greater than or equal to the preset parameter, it is determined that the filter component is in a state to be replaced.

9. The method for detecting the performance of a filter device according to any one of claims 4 to 7, characterized in that: The filter assembly includes a plurality of filter elements, and the filtering grade of any of the filter elements matches the particle size range of the particles. Before the step of calculating the classification efficiency of particles of N particle size ranges passing through the filter assembly respectively, the step further includes: According to the inlet concentration of particulate matter in N particle size intervals and the preset filtration efficiency, the combination of the filter elements is adjusted based on the filtration grade.

10. A control device for a filtering device, characterized in that: include: A processor and a memory, wherein the memory stores programs or instructions that can be run on the processor, and when the programs or instructions are executed by the processor, the steps of the filter device performance detection method as described in any one of claims 4 to 9 are implemented.

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