CN112285002B - Filter efficiency online monitoring system and method for shelter filter - Google Patents
Filter efficiency online monitoring system and method for shelter filter Download PDFInfo
- Publication number
- CN112285002B CN112285002B CN202011531094.7A CN202011531094A CN112285002B CN 112285002 B CN112285002 B CN 112285002B CN 202011531094 A CN202011531094 A CN 202011531094A CN 112285002 B CN112285002 B CN 112285002B
- Authority
- CN
- China
- Prior art keywords
- monitoring
- sampling
- shelter
- filter
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 298
- 238000000034 method Methods 0.000 title claims abstract description 32
- 238000005070 sampling Methods 0.000 claims abstract description 215
- 239000002245 particle Substances 0.000 claims abstract description 193
- 238000001914 filtration Methods 0.000 claims abstract description 131
- 238000012545 processing Methods 0.000 claims abstract description 25
- 238000012706 support-vector machine Methods 0.000 claims abstract description 9
- 239000013618 particulate matter Substances 0.000 claims description 42
- 238000009826 distribution Methods 0.000 claims description 27
- 238000004364 calculation method Methods 0.000 claims description 6
- 238000004140 cleaning Methods 0.000 claims description 6
- 238000010926 purge Methods 0.000 claims description 6
- 238000012360 testing method Methods 0.000 claims description 6
- 238000011045 prefiltration Methods 0.000 claims description 5
- 238000012423 maintenance Methods 0.000 abstract description 6
- 230000036541 health Effects 0.000 abstract description 4
- 238000001514 detection method Methods 0.000 description 9
- 238000011156 evaluation Methods 0.000 description 6
- 238000009434 installation Methods 0.000 description 4
- 230000002265 prevention Effects 0.000 description 4
- 230000008569 process Effects 0.000 description 3
- 230000000694 effects Effects 0.000 description 2
- 230000002349 favourable effect Effects 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 230000014599 transmission of virus Effects 0.000 description 2
- 206010011409 Cross infection Diseases 0.000 description 1
- 238000010521 absorption reaction Methods 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 239000000443 aerosol Substances 0.000 description 1
- 238000000149 argon plasma sintering Methods 0.000 description 1
- 230000002238 attenuated effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000000903 blocking effect Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 230000003189 isokinetic effect Effects 0.000 description 1
- 238000002955 isolation Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 229960005486 vaccine Drugs 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/08—Investigating permeability, pore-volume, or surface area of porous materials
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/08—Investigating permeability, pore-volume, or surface area of porous materials
- G01N2015/084—Testing filters
Landscapes
- Chemical & Material Sciences (AREA)
- Dispersion Chemistry (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Sampling And Sample Adjustment (AREA)
Abstract
The invention provides a system and a method for monitoring the filtering efficiency of a filter for a shelter on line. The monitoring system comprises a sampling system and a monitoring sensor system, wherein the sampling system comprises a sampling pipe and a sampling head, the monitoring sensor system comprises a sensor box body, a data processing device and a plurality of sensor devices, each sensor device comprises a particle sensor and a first single chip microcomputer connected with the particle sensor, and the particle sensors are different in model; the data processing device comprises a second singlechip integrated with a support vector machine module, and each first singlechip is respectively connected with the second singlechip; the sampling pipe is detachably connected with the sensor box body. The invention can monitor the particle size and the number concentration of air particles in the shelter in real time on line, and can evaluate the filtering efficiency of the filter on line, thereby judging the health condition and the reliability of the filter in the shelter, guiding the operation and maintenance practice of the shelter, and being a means for a shelter user or a related party to monitor and master the operation performance of the shelter in real time.
Description
Technical Field
The invention relates to the technical field of filter filtration efficiency online monitoring, in particular to a system and a method for online monitoring of filtration efficiency of a filter for a shelter.
Background
At present, the mode of viral transmission using aerosol particles in the atmosphere as a carrier has been proven to be one of the important modes of viral transmission. The shelter is an important means for epidemic prevention and control as an infrastructure which has strong mobility, is easy to modularize and is flexible to arrange and configure. Manufacturers at home and abroad rapidly release new products such as a biological safety laboratory shelter, a PCR detection shelter, a heating outpatient service pre-detection shelter, a biological safety isolation shelter, a vaccine storage and transportation shelter, a movable shelter hospital and the like, which are widely applied to epidemic situation prevention and control. The shelter is usually transformed by a standard container or designed and built according to the size of the standard container, is suitable for land transportation, sea transportation and even air transportation, can be rapidly deployed, and plays an important role in combining epidemic prevention and peacetime and war and guaranteeing national biological safety.
The new products have a common characteristic that a clean air environment and a positive pressure or negative pressure environment are required to be built in the shelter, which is an important function of the shelter as a basic platform, and the core of the important function is realized by installing a filter. In the use process of the shelter, the real-time filtering effect of the filter in the shelter is the key for guaranteeing the functional performance and reliability of the shelter and is also the important content of monitoring, detecting and maintaining the whole life cycle of the shelter. The performance of the shelter when the shelter is taken out of a factory for acceptance cannot represent the long-term service performance of the shelter, and is influenced by the use mode, the external environment, the quality of a filter element, the service life and the like, and the filtering efficiency of the filter in the using process of the shelter urgently needs a means of real-time monitoring and online detection so as to guide the operation and maintenance of the shelter and the timely replacement of the filter and reduce the risk of hospital infection.
At present, most of the square cabins lack a real-time monitoring means for the internal air quality, and are blank in the aspect of an online monitoring means for the filtering efficiency of a filter. The existing system for filter laboratory detection is expensive, complex to operate and not suitable for field monitoring and detection of the shelter. Therefore, the online monitoring system which is simple and convenient to operate, economical and feasible and capable of reflecting the size and the quantity concentration of the fine particulate matters in real time is designed, and the online monitoring system is very necessary for monitoring the filtering efficiency of the filter in the shelter.
Disclosure of Invention
The invention provides an on-line monitoring system for the filtering efficiency of a filter for a shelter, which can monitor the particle size and the number concentration of air particles in the shelter in real time on line and can evaluate the filtering efficiency of the filter on line.
The invention provides an online monitoring system for the filtering efficiency of a filter for a shelter, which comprises a sampling system and a monitoring sensor system, wherein the sampling system comprises a sampling pipe and a sampling head connected with the sampling pipe; the monitoring sensor system comprises a sensor box body, a data processing device and a plurality of sensor devices, wherein the data processing device and each sensor device are arranged in the sensor box body, each sensor device comprises a particulate matter sensor and a first single chip microcomputer connected with the particulate matter sensor, and the types of the particulate matter sensors are different; the data processing device comprises a second singlechip integrated with a support vector machine module, and each first singlechip is respectively connected with the second singlechip; the sampling pipe is detachably connected with the sensor box body.
According to the filter efficiency online monitoring system for the shelter provided by the invention, each particulate matter sensor is used for collecting particulate matter data in the sensor box body and outputting the particulate matter data to the corresponding first single chip microcomputer; each first single chip microcomputer is used for processing the particle data, acquiring original data of particle distribution and real-time concentration with the particle size of 0.3-10 mu m and outputting the original data to the second single chip microcomputer; the second single chip microcomputer is used for processing the original data through the support vector machine module, and accurate data of particle distribution and real-time concentration with the particle size of 0.3-10 mu m are obtained.
The filter filtration efficiency online monitoring system for the shelter further comprises a calculating device, wherein the calculating device is used for receiving the accurate data of the particle distribution and the real-time concentration of the particles with the particle size of 0.3-10 mu m, calculating and processing the data, and obtaining the filtration efficiency of the filter for each particle in the particle size range of 0.3-10 mu m.
According to the filter filtration efficiency online monitoring system for the shelter provided by the invention, a power module and a controller are further arranged in the sensor box body, the data processing device and each sensor device are respectively connected with the power module, and the power module, the data processing device and each sensor device are respectively connected with the controller.
The invention also provides an online monitoring method for the filtering efficiency of the filter for the shelter, which adopts a monitoring system to carry out online monitoring, wherein the monitoring system adopts the online monitoring system for the filtering efficiency of the filter for the shelter, the monitoring system comprises two sampling systems and a monitoring sensor system, and the two sampling systems are respectively a first sampling system and a second sampling system; the method comprises the following steps:
purging and cleaning each sampling system in advance by utilizing high-pressure air;
fixing the monitoring sensor system on a cabin wall of the shelter or a monitoring platform beside the shelter;
opening a sampling hole formed in the wall of the shelter, enabling a sampling head of the first sampling system to penetrate through the sampling hole and extend into the shelter, and enabling a sampling port of the sampling head of the first sampling system to be located at the center of an air outlet of a filter to be tested;
connecting a sampling pipe of the first sampling system with a sensor box body of the monitoring sensor system;
starting a fan of the shelter, adjusting, testing and confirming the air volume of the filter to be tested, so that the air volume is in a normal operation state and cannot exceed a rated air volume;
starting the monitoring sensor system after the shelter normally and stably operates for at least 5 minutes, starting to perform filtering and sampling after the monitoring sensor system stably operates for 2 minutes, continuously monitoring and recording preset time, and acquiring first monitoring data by the monitoring sensor system, wherein the first monitoring data are accurate data of particle size distribution and real-time concentration of particles with the particle size of 0.3-10 mu m after filtering;
shutting down the monitoring sensor system and suspending monitoring;
deriving the first monitoring data;
obtaining an accumulated value of the number concentration of the particles with the particle size of 0.3 mu m after filtration from the first monitoring data;
disconnecting the first sampling system from the monitoring sensor system, arranging the second sampling system at the position of the air inlet of the filter to be tested, and enabling the sampling port of the sampling head of the second sampling system to be positioned at the center position of the air inlet of the filter to be tested;
connecting a sampling pipe of the second sampling system with a sensor box body of the monitoring sensor system;
the monitoring sensor system is restarted, sampling before filtering is carried out after the monitoring sensor system stably operates for 2 minutes, the preset time is continuously monitored and recorded, and second monitoring data are obtained by the monitoring sensor system and are accurate data of particle size distribution and real-time concentration of particles with particle sizes of 0.3-10 mu m before filtering;
closing the monitoring sensor system and stopping monitoring;
deriving the second monitoring data;
obtaining an accumulated value of the number concentration of the particles with the particle size of 0.3 mu m before filtration from the second monitoring data;
respectively importing the first monitoring data and the second monitoring data into a computing device, and computing and acquiring the filtering efficiency of the filter to be tested for each particulate matter within the particle size range of 0.3-10 mu m through the computing device;
and evaluating whether the filter to be tested is maintained in a high-efficiency filtering state according to a filtering efficiency calculation result, and issuing a monitoring report.
According to the on-line monitoring method for the filtering efficiency of the filter for the shelter, provided by the invention, the filtering efficiency of the filter to be tested for particles with the particle size of 0.3 mu m is calculated by adopting the following formula:
The invention provides an on-line monitoring method for the filtering efficiency of a filter for a shelter, which further comprises the following steps: and dynamically evaluating and calibrating each particle sensor in the monitoring sensor system.
The invention also provides an online monitoring method for the filtering efficiency of the filter for the shelter, which adopts a monitoring system to carry out online monitoring, wherein the monitoring system adopts the online monitoring system for the filtering efficiency of the filter for the shelter, the monitoring system comprises two sampling systems and two monitoring sensor systems, the two sampling systems are respectively a first sampling system and a second sampling system, and the two monitoring sensor systems are respectively a first monitoring sensor system and a second monitoring sensor system; the method comprises the following steps:
purging and cleaning each sampling system in advance by utilizing high-pressure air;
respectively fixing each monitoring sensor system on a cabin wall of the shelter or a monitoring platform beside the shelter;
opening a sampling hole formed in the cabin wall of the shelter, enabling a sampling head of the first sampling system to penetrate through the sampling hole and extend into the shelter, enabling a sampling port of the sampling head of the first sampling system to be located at the center of an air outlet of a filter to be detected, and connecting a sampling pipe of the first sampling system with a sensor box body of the first monitoring sensor system;
arranging the second sampling system at the position of the air inlet of the filter to be detected, enabling a sampling port of a sampling head of the second sampling system to be positioned at the center position of the air inlet of the filter to be detected, and connecting a sampling pipe of the second sampling system with a sensor box body of the second monitoring sensor system;
starting a fan of the shelter, adjusting, testing and confirming the air volume of the filter to be tested, so that the air volume is in a normal operation state and cannot exceed a rated air volume;
after the shelter normally and stably operates for at least 5 minutes, respectively starting the first monitoring sensor system and the second monitoring sensor system, simultaneously performing pre-filtration sampling and post-filtration sampling after the first monitoring sensor system and the second monitoring sensor system stably operate for 2 minutes, and continuously monitoring for a preset time, wherein the first monitoring sensor system acquires first monitoring data which are accurate data of particle size distribution and real-time concentration of particles with the particle size of 0.3-10 mu m after filtration; the second monitoring sensor system acquires second monitoring data, wherein the second monitoring data are accurate data of particle size distribution and real-time concentration of particles with particle sizes of 0.3-10 mu m before filtering;
closing the first monitoring sensor system and the second monitoring sensor system, and stopping monitoring;
deriving the first monitoring data and the second monitoring data;
obtaining an accumulated value of the number concentration of the particles with the particle size of 0.3 mu m after filtration from the first monitoring data; obtaining an accumulated value of the number concentration of the particles with the particle size of 0.3 mu m before filtration from the second monitoring data;
respectively importing the first monitoring data and the second monitoring data into a computing device, and computing and acquiring the filtering efficiency of the filter to be tested for each particulate matter within the particle size range of 0.3-10 mu m through the computing device;
and evaluating whether the filter to be tested is maintained in a high-efficiency filtering state according to a filtering efficiency calculation result, and issuing a monitoring report.
According to the on-line monitoring method for the filtering efficiency of the filter for the shelter, provided by the invention, the filtering efficiency of the filter to be tested for particles with the particle size of 0.3 mu m is calculated by adopting the following formula:
The invention provides an on-line monitoring method for the filtering efficiency of a filter for a shelter, which further comprises the following steps: and dynamically evaluating and calibrating each particle sensor in the first monitoring sensor system and each particle sensor in the second monitoring sensor system respectively.
One or more technical solutions in the embodiments of the present invention have at least one of the following technical effects:
according to the filter filtration efficiency online monitoring system for the shelter, air before and after being filtered by a filter can be sampled through a sampling head, the sampled air is introduced into a sensor box body through a sampling pipe, a plurality of particle sensors of different types are arranged in the sensor box body, particle data in the sensor box body can be respectively collected and output to corresponding first single-chip microcomputers, the particle data can be processed through each first single-chip microcomputer, particle distribution with the particle size of 0.3-10 mu m and original data of real-time concentration are obtained and output to a second single-chip microcomputer, a support vector machine module is integrated on the second single-chip microcomputer, each original data can be processed, particle distribution with the particle size of 0.3-10 mu m and accurate data of the real-time concentration are obtained, and then the accurate data are calculated, the filtering efficiency of the filter for each particulate matter within the particle size range of 0.3-10 mu m can be obtained. Therefore, the filter filtration efficiency online monitoring system for the shelter, provided by the invention, has the advantages of simple structure, convenience in operation, economy and reliability, can monitor the particle size and the number concentration of air particles in the shelter on line in real time, can evaluate the filtration efficiency of the filter on line, so as to judge the health condition and the reliability of the filter in the shelter, guide the operation and maintenance practice of the shelter, can be used as a means for monitoring and mastering the operation performance of the shelter in real time by a shelter user or a related party, can be used for third party evaluation of the operation performance of the shelter and a decision basis for maintaining and replacing the filter, and is favorable for the management of the shelter as the whole life cycle of national biological safety infrastructure.
According to the on-line monitoring method for the filtering efficiency of the filter for the shelter, which is provided by the invention, the on-line monitoring system for the filtering efficiency of the filter for the shelter is adopted to carry out on-line monitoring on the filtering efficiency of the filter, so that the method has all the advantages of the on-line monitoring system for the filtering efficiency of the filter for the shelter.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
In order to more clearly illustrate the technical solutions of the present invention or the prior art, the drawings needed for the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
FIG. 1 is a block diagram of the filter efficiency online monitoring system for a shelter according to the present invention;
fig. 2 is a schematic view of the installation of the filter filtration efficiency online monitoring system for the shelter provided by the invention on the shelter.
Reference numerals:
| 1: a sampling system; | 11: a sampling tube; | 12: a sampling head; |
| 2: monitoring the sensor system; | 21: a sensor case; | 22: particulate matter sensingA machine; |
| 23: a first single chip microcomputer; | 24: a support vector machine module; | 25: a second single chip microcomputer; |
| 26: a power supply module; | 27: a controller; | 3: a filter; |
| 4: a shelter; | 41: and (4) sampling holes. |
Detailed Description
The embodiments of the present invention will be described in further detail with reference to the drawings and examples. The following examples are intended to illustrate the invention but are not intended to limit the scope of the invention.
In the description of the embodiments of the present invention, it should be noted that the terms "center", "longitudinal", "lateral", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience in describing the embodiments of the present invention and simplifying the description, but do not indicate or imply that the referred devices or elements must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the embodiments of the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the embodiments of the present invention, it should be noted that, unless explicitly stated or limited otherwise, the terms "connected" and "connected" are to be interpreted broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; may be directly connected or indirectly connected through an intermediate. Specific meanings of the above terms in the embodiments of the present invention can be understood in specific cases by those of ordinary skill in the art.
In embodiments of the invention, unless expressly stated or limited otherwise, the first feature "on" or "under" the second feature may be directly contacting the first and second features or indirectly contacting the first and second features through intervening media. Also, a first feature "on," "over," and "above" a second feature may be directly or diagonally above the second feature, or may simply indicate that the first feature is at a higher level than the second feature. A first feature being "under," "below," and "beneath" a second feature may be directly under or obliquely under the first feature, or may simply mean that the first feature is at a lesser elevation than the second feature.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of an embodiment of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
A specific embodiment of the filter filtration efficiency online monitoring system for a shelter of the present invention is described below with reference to fig. 1 and 2.
The filter filtration efficiency online monitoring system for the shelter (hereinafter referred to as a monitoring system) comprises a sampling system 1 and a monitoring sensor system 2, wherein the sampling system 1 comprises a sampling pipe 11 and a sampling head 12 connected with the sampling pipe 11. Monitoring sensor system 2 includes sensor box 21, data processing apparatus and a plurality of sensor device, and data processing apparatus and each sensor device all install in the inside of sensor box 21, and each sensor device all includes particulate matter sensor 22 and the first singlechip 23 of being connected with particulate matter sensor 22, promptly, each particulate matter sensor 22 is connected with each first singlechip 23 one-to-one, and wherein each particulate matter sensor 22's model is different. The data processing device comprises a second singlechip 25 integrated with a support vector machine module 24, and each first singlechip 23 is respectively connected with the second singlechip 25. The sampling pipe 11 is detachably connected with the sensor box body 21.
That is, the filter 3 is installed in the shelter 4, the air inlet of the filter 3 is communicated with the outside of the shelter 4, the air outlet of the filter 3 is communicated with the inside of the shelter 4, the filter 3 introduces the outside air through the air inlet and carries out filtering treatment and then sends the outside air into the inside of the shelter 4 through the air outlet, namely, the air at the air inlet of the filter 3 is the air before filtering, and the air at the air outlet of the filter 3 is the air after filtering.
During installation, the monitoring sensor system 2 may be fixed to the outer wall of the shelter 4, or a monitoring platform may be provided outside the shelter 4 at a position close to the filter 3, the monitoring sensor system 2 is fixed to the monitoring platform, and then the sampling system 1 is fixed to the air inlet position of the filter 3 or the outlet position of the filter 3 according to actual monitoring requirements. Wherein, be equipped with sampling hole 41 on the bulkhead of shelter 4, when the air after needs through sampling system 1 collection filtration, pass sampling system 1 sampling hole 41 and stretch into the inside to shelter 4 to the sampling head 12 with sampling system 1 corresponds and sets up in the gas outlet department of filter 3. When air before filtration needs to be collected through the sampling system 1, the sampling system 1 is fixed at a position close to the air inlet of the filter 3, and the sampling head 12 of the sampling system 1 is correspondingly arranged at the air inlet of the filter 3.
When the particle distribution and real-time concentration sampling device is used, air before and after being filtered by the filter 3 can be respectively sampled through the sampling head 12, the sampled air is introduced into the sensor box body 21 through the sampling pipe 11, the particle sensors 22 of different types are arranged in the sensor box body 21, particle data in the sensor box body 21 can be respectively collected and output to the corresponding first single-chip microcomputer 23, the particle data can be processed through the first single-chip microcomputers 23, original data of particle distribution and real-time concentration of particles with the particle size of 0.3-10 mu m are obtained and output to the second single-chip microcomputer 25, and the support vector machine module 24 is integrated on the second single-chip microcomputer 25, so that the original data can be processed, accurate data of particle distribution and real-time concentration of the particle size of 0.3-10 mu m are obtained, and then the accurate data are calculated, the filtering efficiency of the filter 3 for each particulate matter in the particle size range of 0.3-10 mu m can be obtained.
Therefore, the monitoring system provided by the embodiment of the invention has the advantages of simple structure, convenience in operation, economy and reliability, can monitor the particle size and the number concentration of air particles in the shelter on line in real time, can evaluate the filtering efficiency of the filter on line, so as to judge the health condition and the reliability of the filter in the shelter, guide the operation and maintenance practice of the shelter, can be used as a means for monitoring and mastering the operation performance of the shelter in real time by a shelter user or a related party, can be used for third-party evaluation of the operation performance of the shelter and a decision basis for maintaining and replacing the filter, and is favorable for the management of the shelter as the full life cycle of national biological safety infrastructure.
Specifically, in the present embodiment, by providing a plurality of different types of particle sensors 22 inside the sensor housing 21, high accuracy that cannot be achieved by a single sensor can be achieved at a low cost, so that the accuracy can be equivalent to that of a laboratory-level expensive laser particle counting sensor.
Specifically, the present embodiment requires that a plurality of different types of particulate matter sensors 22 be arranged at different positions inside the sensor case 21, respectively, to reduce the influence of the mounting position and mounting angle of the particulate matter sensor 22 on the measurement accuracy.
Specifically, in the present embodiment, the particulate matter sensor 22 employs a particulate matter sensor based on the principle of light scattering. The particles can generate a scattering phenomenon of light under the irradiation of the light, and simultaneously absorb partial light energy. When a beam of parallel monochromatic light enters the measured particle field, the light intensity is attenuated under the influence of scattering and absorption of the particles on the light, and the relative attenuation rate of the incident light passing through the concentration field to be measured can linearly reflect the relative concentration of the particle field to be measured. The intensity of the light intensity is in direct proportion to the intensity of the electric signal after photoelectric conversion, and the relative attenuation rate can be obtained through the measured electric signal, so that the concentration of the particle field to be measured can be measured.
Specifically, in the present embodiment, the sampling head 12 in the sampling system 1 employs an isokinetic sampling head.
When the on-line monitoring of the filtering efficiency of the filter is carried out, two sets of sampling systems 1 are needed to be adopted to carry out sampling before and after filtering respectively, and the filtering efficiency is calculated through the particle size distribution and the number concentration of the particles which are measured before and after filtering respectively.
Particularly, in order to facilitate the installation and fixation of the sampling system 1 and reduce the influence of other factors on the measurement result, when filtered air needs to be collected by the sampling system 1, a fixing seat can be arranged at a position close to the sampling hole on the outer bulkhead of the shelter 4, and then the sampling pipe 11 is connected to the fixing seat through a connecting piece. After sampling is completed, the sampling hole needs to be plugged by a plugging piece.
Specifically, in order to accommodate the arrangement and installation distance between the sampling system 1 and the monitoring sensor system 2, the sampling tube 11 may be connected to the sensor housing 21 through a hose.
Specifically, a power supply module 26 and a controller 27 are further provided inside the sensor case 21, wherein the data processing device and each sensor device are connected to the power supply module 26, respectively, and the power supply module 26 is used to supply power to the data processing device and each sensor device.
The power supply module 26, the data processing device, and the sensor devices are connected to a controller 27, and the controller 27 can control the operating states of the power supply module 26, the data processing device, and the sensor devices.
Further, the monitoring system further comprises a calculating device, the calculating device can receive the particle size distribution of 0.3-10 mu m and the real-time concentration accurate data acquired by the second single chip microcomputer 25, and calculate and process the particle size distribution and the real-time concentration accurate data, so that the filtering efficiency of the filter for each particle in the particle size range of 0.3-10 mu m is acquired. The computing device may be a computer.
On the other hand, the invention also provides an online monitoring method for the filtering efficiency of the filter for the shelter, which adopts a monitoring system to carry out online monitoring, wherein the monitoring system adopts the online monitoring system for the filtering efficiency of the filter for the shelter of the embodiment, the monitoring system comprises two sampling systems and a monitoring sensor system, and the two sampling systems are respectively a first sampling system and a second sampling system; the method specifically comprises the following steps:
and (3) purging and cleaning each sampling system in advance by utilizing high-pressure air so as to ensure that no particulate matter is polluted in the sampling system.
And fixing the monitoring sensor system on a cabin wall of the shelter or a monitoring platform beside the shelter according to actual use requirements.
Opening a sampling hole formed in the cabin wall of the shelter, extending a sampling head of the first sampling system into the shelter through the sampling hole, and enabling a sampling port of the sampling head of the first sampling system to be located in the center of an air outlet of a filter to be tested so as to ensure that the sampling port of the sampling head of the first sampling system is horizontally sampled upwind.
And connecting the sampling pipe of the first sampling system with a sensor box body of the monitoring sensor system.
And (3) starting a fan of the shelter, adjusting, testing and confirming the air quantity of the filter to be tested, so that the air quantity is in a normal operation state and cannot exceed the rated air quantity.
The tightness of the shelter and the normal state of the positive and negative pressure systems are checked. The monitoring sensor system is started after the shelter normally and stably operates for at least 5 minutes, then sampling is carried out after the monitoring sensor system starts to filter after the monitoring sensor system stably operates for 2 minutes, preset time is continuously monitored and recorded, the monitoring sensor system acquires first monitoring data, and the first monitoring data are accurate data of particle size distribution and real-time concentration of particles with the particle size of 0.3-10 mu m after filtering.
And (5) turning off the monitoring sensor system and suspending monitoring.
The first monitoring data is then derived. And obtaining the accumulated value of the number concentration of the particles with the particle size of 0.3 mu m after filtration from the first monitoring data.
The first sampling system is separated from the monitoring sensor system, and the sampling hole is blocked by adopting a blocking piece, so that the circulation of outside air and air in the shelter under the action of pressure difference is prevented. And arranging the second sampling system at the position of the air inlet of the filter to be tested, and enabling the sampling port of the sampling head of the second sampling system to be positioned at the center position of the air inlet of the filter to be tested so as to ensure that the sampling port of the sampling head of the second sampling system samples horizontally against the wind.
And connecting the sampling pipe of the second sampling system with a sensor box body of the monitoring sensor system.
And restarting the monitoring sensor system, starting sampling before filtering after the monitoring sensor system stably operates for 2 minutes, continuously monitoring and recording the preset time, and acquiring second monitoring data by the monitoring sensor system, wherein the second monitoring data are the particle size distribution of particles with the particle sizes of 0.3-10 mu m before filtering and the accurate data of real-time concentration.
And (5) closing the monitoring sensor system and stopping monitoring.
Second monitoring data is then derived. And obtaining the accumulated value of the number concentration of the particles with the particle size of 0.3 mu m before filtration from the second monitoring data.
The first monitoring data and the second monitoring data are respectively led into a computing device, and the filtering efficiency of the filter to be tested for each particulate matter in the particle size range of 0.3-10 mu m is calculated and obtained through the computing device.
And evaluating whether the filter to be tested is maintained in a high-efficiency filtering state according to the filtering efficiency calculation result, and issuing a monitoring report.
Specifically, the predetermined time for continuous monitoring recording when the post-filtration sampling is performed is the same as the predetermined time for continuous monitoring recording when the pre-filtration sampling is performed, which in this embodiment is at least 30 minutes.
That is, 30 minutes is the shortest time for continuous monitoring and recording, and whether the time needs to be extended can be determined according to the number of the specifically collected particles in the preset time period, and the specific judgment criteria are as follows: the number of the particulate matters with the particle size of 0.3 mu m measured after filtration in the predetermined time period is not less than 20, and the number of the particulate matters with the particle size of 0.3 mu m measured before filtration is not less than 200000.
In a specific embodiment of the invention, the filtering efficiency of the filter to be tested for the particulate matter with the particle size of 0.3 μm can be calculated by adopting the following formula:
Of course, the filtering efficiency of the filter to be tested for other particulate matters with different particle sizes can also be calculated by adopting the formula.
In a further embodiment of the invention, the method further comprises: each particle sensor in the monitoring sensor system is dynamically evaluated and calibrated, so that detection and calibration reports aiming at each particle sensor are provided, the detection uncertainty is analyzed, and the method can be further used as third-party evaluation of the operation performance of the shelter.
In another aspect, the present invention further provides an on-line monitoring method for filtration efficiency of a filter for a shelter, which uses a monitoring system to perform on-line monitoring, wherein the monitoring system uses the on-line monitoring system for filtration efficiency of a filter for a shelter of the above embodiment, the monitoring system includes two sampling systems and two monitoring sensor systems, the two sampling systems are respectively a first sampling system and a second sampling system, and the two monitoring sensor systems are respectively a first monitoring sensor system and a second monitoring sensor system. The method specifically comprises the following steps:
and (4) purging and cleaning each sampling system by utilizing high-pressure air in advance to ensure that no particulate matters exist in the interior of each sampling system.
And according to actual use requirements, fixing each monitoring sensor system on the cabin wall of the square cabin or a monitoring platform beside the square cabin respectively.
Opening a sampling hole formed in the cabin wall of the shelter, extending a sampling head of the first sampling system into the shelter through the sampling hole, and enabling a sampling port of the sampling head of the first sampling system to be located in the center of an air outlet of a filter to be tested so as to ensure that the sampling port of the sampling head of the first sampling system is horizontally sampled upwind. And then connecting the sampling pipe of the first sampling system with the sensor box body of the first monitoring sensor system.
Meanwhile, the second sampling system is arranged at the position of the air inlet of the filter to be tested, and the sampling port of the sampling head of the second sampling system is positioned at the center position of the air inlet of the filter to be tested, so that the sampling port of the sampling head of the second sampling system is ensured to sample windward horizontally. And then connecting the sampling pipe of the second sampling system with the sensor box body of the second monitoring sensor system.
And (3) starting a fan of the shelter, adjusting, testing and confirming the air quantity of the filter to be tested, so that the air quantity is in a normal operation state and cannot exceed the rated air quantity.
The tightness of the shelter and the normal state of the positive and negative pressure systems are checked. After the shelter normally and stably operates for at least 5 minutes, a first monitoring sensor system and a second monitoring sensor system are respectively started, then, 2 minutes of stable operation of the first monitoring sensor system and the second monitoring sensor system are simultaneously subjected to pre-filtration sampling and post-filtration sampling, the preset time is continuously monitored, the first monitoring sensor system acquires first monitoring data, and the first monitoring data are accurate data of particle size distribution and real-time concentration of particles with the particle size of 0.3-10 mu m after filtration. The second monitoring sensor system acquires second monitoring data, and the second monitoring data are accurate data of particle size distribution and real-time concentration of particles with particle sizes of 0.3-10 mu m before filtering.
And closing the first monitoring sensor system and the second monitoring sensor system, and stopping monitoring.
And deriving the first monitoring data and the second monitoring data. And obtaining the accumulated value of the number concentration of the particles with the particle size of 0.3 mu m after filtration from the first monitoring data. And obtaining the accumulated value of the number concentration of the particles with the particle size of 0.3 mu m before filtration from the second monitoring data.
The first monitoring data and the second monitoring data are respectively led into a computing device, and the filtering efficiency of the filter to be tested for each particulate matter in the particle size range of 0.3-10 mu m is calculated and obtained through the computing device.
And evaluating whether the filter to be tested is maintained in a high-efficiency filtering state according to the filtering efficiency calculation result, and issuing a monitoring report.
Specifically, in the present embodiment, when the pre-filtration sampling and the post-filtration sampling are performed simultaneously, the predetermined time for continuous monitoring recording is at least 30 minutes.
That is, 30 minutes is the shortest time for continuous monitoring and recording, and whether the time needs to be extended can be determined according to the number of the specifically collected particles in the preset time period, and the specific judgment criteria are as follows: the number of the particulate matters with the particle size of 0.3 mu m measured after filtration in the predetermined time period is not less than 20, and the number of the particulate matters with the particle size of 0.3 mu m measured before filtration is not less than 200000.
In a specific embodiment of the invention, the filtering efficiency of the filter to be tested for the particulate matter with the particle size of 0.3 μm can be calculated by adopting the following formula:
Of course, the filtering efficiency of the filter to be tested for other particulate matters with different particle sizes can also be calculated by adopting the formula.
In a further embodiment of the invention, the method further comprises: and dynamically evaluating and calibrating each particle sensor in the first monitoring sensor system and each particle sensor in the second monitoring sensor system respectively, so that detection and calibration reports aiming at each particle sensor are provided, the detection uncertainty is analyzed, and the evaluation can be used as third-party evaluation of the operation performance of the shelter.
In conclusion, the invention can monitor the particle size and the number concentration of air particles in the shelter in real time on line, can evaluate the filtering efficiency of the filter on line, thereby judging the health condition and the reliability of the filter in the shelter, guiding the operation and maintenance practice of the shelter, can be used as a means for monitoring and mastering the operation performance of the shelter in real time by a shelter user or related parties, can be used for third-party evaluation of the operation performance of the shelter and decision basis of filter maintenance and replacement, and is beneficial to the management of the shelter as the whole life cycle of national biological safety infrastructure.
In addition, the invention can also be popularized and applied to the performance online monitoring of other fixed or movable biological safety laboratory platforms and building high-efficiency filters for epidemic situation prevention and control.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (8)
1. The filter filtration efficiency online monitoring system for the shelter is characterized by comprising a sampling system and a monitoring sensor system, wherein the sampling system comprises a sampling pipe and a sampling head connected with the sampling pipe; the monitoring sensor system comprises a sensor box body, a data processing device and a plurality of sensor devices, wherein the data processing device and each sensor device are arranged in the sensor box body, each sensor device comprises a particulate matter sensor and a first single chip microcomputer connected with the particulate matter sensor, and the types of the particulate matter sensors are different; the data processing device comprises a second singlechip integrated with a support vector machine module, and each first singlechip is respectively connected with the second singlechip; the sampling pipe is detachably connected with the sensor box body;
each particle sensor is used for collecting particle data in the sensor box body and outputting the particle data to the corresponding first single chip microcomputer; each first single chip microcomputer is used for processing the particle data, acquiring original data of particle distribution and real-time concentration with the particle size of 0.3-10 mu m and outputting the original data to the second single chip microcomputer; the second single chip microcomputer is used for processing the original data through the support vector machine module to obtain accurate data of particle distribution and real-time concentration with the particle size of 0.3-10 mu m;
the particle size distribution and real-time concentration accurate data acquisition device is used for receiving particle size distribution and real-time concentration accurate data of 0.3-10 mu m, calculating and processing the data, and acquiring the filtering efficiency of the filter for each particle in the particle size range of 0.3-10 mu m;
the sampling systems comprise two sampling systems, wherein the two sampling systems are respectively a first sampling system and a second sampling system;
the monitoring sensor system comprises one or two monitoring sensor systems, and when the monitoring sensor system comprises two monitoring sensor systems, the two monitoring sensor systems are respectively a first monitoring sensor system and a second monitoring sensor system.
2. The on-line monitoring system for filtering efficiency of a shelter filter as claimed in claim 1, wherein a power module and a controller are further arranged inside the sensor box, the data processing device and each sensor device are respectively connected with the power module, and the power module, the data processing device and each sensor device are respectively connected with the controller.
3. An on-line monitoring method for the filtering efficiency of a filter for a shelter, which is characterized in that a monitoring system is adopted for on-line monitoring, the monitoring system adopts the on-line monitoring system for the filtering efficiency of the filter for the shelter as claimed in claim 1 or 2, the monitoring system comprises two sampling systems and a monitoring sensor system, and the two sampling systems are respectively a first sampling system and a second sampling system; the method comprises the following steps:
purging and cleaning each sampling system in advance by utilizing high-pressure air;
fixing the monitoring sensor system on a cabin wall of the shelter or a monitoring platform beside the shelter;
opening a sampling hole formed in the wall of the shelter, enabling a sampling head of the first sampling system to penetrate through the sampling hole and extend into the shelter, and enabling a sampling port of the sampling head of the first sampling system to be located at the center of an air outlet of a filter to be tested;
connecting a sampling pipe of the first sampling system with a sensor box body of the monitoring sensor system;
starting a fan of the shelter, adjusting, testing and confirming the air volume of the filter to be tested, so that the air volume is in a normal operation state and cannot exceed a rated air volume;
starting the monitoring sensor system after the shelter normally and stably operates for at least 5 minutes, starting to perform filtering and sampling after the monitoring sensor system stably operates for 2 minutes, continuously monitoring and recording preset time, and acquiring first monitoring data by the monitoring sensor system, wherein the first monitoring data are accurate data of particle size distribution and real-time concentration of particles with the particle size of 0.3-10 mu m after filtering;
shutting down the monitoring sensor system and suspending monitoring;
deriving the first monitoring data;
obtaining an accumulated value of the number concentration of the particles with the particle size of 0.3 mu m after filtration from the first monitoring data;
disconnecting the first sampling system from the monitoring sensor system, arranging the second sampling system at the position of the air inlet of the filter to be tested, and enabling the sampling port of the sampling head of the second sampling system to be positioned at the center position of the air inlet of the filter to be tested;
connecting a sampling pipe of the second sampling system with a sensor box body of the monitoring sensor system;
the monitoring sensor system is restarted, sampling before filtering is carried out after the monitoring sensor system stably operates for 2 minutes, the preset time is continuously monitored and recorded, and second monitoring data are obtained by the monitoring sensor system and are accurate data of particle size distribution and real-time concentration of particles with particle sizes of 0.3-10 mu m before filtering;
closing the monitoring sensor system and stopping monitoring;
deriving the second monitoring data;
obtaining an accumulated value of the number concentration of the particles with the particle size of 0.3 mu m before filtration from the second monitoring data;
respectively importing the first monitoring data and the second monitoring data into a computing device, and computing and acquiring the filtering efficiency of the filter to be tested for each particulate matter within the particle size range of 0.3-10 mu m through the computing device;
and evaluating whether the filter to be tested is maintained in a high-efficiency filtering state according to a filtering efficiency calculation result, and issuing a monitoring report.
4. The on-line monitoring method for the filtering efficiency of the filter for the shelter according to claim 3, characterized in that the filtering efficiency of the filter to be tested for the particulate matter with the particle size of 0.3 μm is calculated by adopting the following formula:
5. The on-line monitoring method for the filtering efficiency of the filter for the shelter of claim 3, further comprising: and dynamically evaluating and calibrating each particle sensor in the monitoring sensor system.
6. An online monitoring method for the filtering efficiency of a filter for a shelter, which is characterized in that an online monitoring system is adopted for online monitoring, the online monitoring system adopts the online monitoring system for the filtering efficiency of the filter for the shelter as claimed in claim 1 or 2, the monitoring system comprises two sampling systems and two monitoring sensor systems, the two sampling systems are respectively a first sampling system and a second sampling system, and the two monitoring sensor systems are respectively a first monitoring sensor system and a second monitoring sensor system; the method comprises the following steps:
purging and cleaning each sampling system in advance by utilizing high-pressure air;
respectively fixing each monitoring sensor system on a cabin wall of the shelter or a monitoring platform beside the shelter;
opening a sampling hole formed in the cabin wall of the shelter, enabling a sampling head of the first sampling system to penetrate through the sampling hole and extend into the shelter, enabling a sampling port of the sampling head of the first sampling system to be located at the center of an air outlet of a filter to be detected, and connecting a sampling pipe of the first sampling system with a sensor box body of the first monitoring sensor system;
arranging the second sampling system at the position of the air inlet of the filter to be detected, enabling a sampling port of a sampling head of the second sampling system to be positioned at the center position of the air inlet of the filter to be detected, and connecting a sampling pipe of the second sampling system with a sensor box body of the second monitoring sensor system;
starting a fan of the shelter, adjusting, testing and confirming the air volume of the filter to be tested, so that the air volume is in a normal operation state and cannot exceed a rated air volume;
after the shelter normally and stably operates for at least 5 minutes, respectively starting the first monitoring sensor system and the second monitoring sensor system, simultaneously performing pre-filtration sampling and post-filtration sampling after the first monitoring sensor system and the second monitoring sensor system stably operate for 2 minutes, and continuously monitoring for a preset time, wherein the first monitoring sensor system acquires first monitoring data which are accurate data of particle size distribution and real-time concentration of particles with the particle size of 0.3-10 mu m after filtration; the second monitoring sensor system acquires second monitoring data, wherein the second monitoring data are accurate data of particle size distribution and real-time concentration of particles with particle sizes of 0.3-10 mu m before filtering;
closing the first monitoring sensor system and the second monitoring sensor system, and stopping monitoring;
deriving the first monitoring data and the second monitoring data;
obtaining an accumulated value of the number concentration of the particles with the particle size of 0.3 mu m after filtration from the first monitoring data; obtaining an accumulated value of the number concentration of the particles with the particle size of 0.3 mu m before filtration from the second monitoring data;
respectively importing the first monitoring data and the second monitoring data into a computing device, and computing and acquiring the filtering efficiency of the filter to be tested for each particulate matter within the particle size range of 0.3-10 mu m through the computing device;
and evaluating whether the filter to be tested is maintained in a high-efficiency filtering state according to a filtering efficiency calculation result, and issuing a monitoring report.
7. The on-line monitoring method for the filtering efficiency of the filter for the shelter according to claim 6, characterized in that the filtering efficiency of the filter to be tested for the particulate matter with the particle size of 0.3 μm is calculated by adopting the following formula:
8. The on-line monitoring method for filtering efficiency of a shelter filter according to claim 6, further comprising: and dynamically evaluating and calibrating each particle sensor in the first monitoring sensor system and each particle sensor in the second monitoring sensor system respectively.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011531094.7A CN112285002B (en) | 2020-12-23 | 2020-12-23 | Filter efficiency online monitoring system and method for shelter filter |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011531094.7A CN112285002B (en) | 2020-12-23 | 2020-12-23 | Filter efficiency online monitoring system and method for shelter filter |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112285002A CN112285002A (en) | 2021-01-29 |
| CN112285002B true CN112285002B (en) | 2021-03-23 |
Family
ID=74426832
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011531094.7A Active CN112285002B (en) | 2020-12-23 | 2020-12-23 | Filter efficiency online monitoring system and method for shelter filter |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112285002B (en) |
Family Cites Families (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101587053B (en) * | 2009-06-24 | 2010-12-08 | 苏州苏净仪器自控设备有限公司 | Double air channels sampling sensor |
| CN101629892A (en) * | 2009-08-20 | 2010-01-20 | 青岛众瑞智能仪器有限公司 | Filtering efficiency detector of air filter materials |
| CN203231883U (en) * | 2013-04-25 | 2013-10-09 | 康斐尔过滤设备(昆山)有限公司 | Multi channel air filtration system field test bench |
| FR3031800B1 (en) * | 2015-01-21 | 2017-01-13 | Aldes Aeraulique | METHOD FOR DETERMINING THE RUNNING RATE OF AT LEAST ONE FILTER OF A VENTILATION SYSTEM AND ASSOCIATED VENTILATION SYSTEM |
| CN205404526U (en) * | 2016-02-16 | 2016-07-27 | 天津市气象科学研究所 | Meteorological tower air quality monitoring system |
| US10190957B2 (en) * | 2016-06-08 | 2019-01-29 | Ford Global Technologies Llc | Calculation-based vehicle cabin filtration performance |
| CN106092857B (en) * | 2016-08-11 | 2019-01-18 | 青岛众瑞智能仪器有限公司 | A kind of mask particulate matter filter efficiency and respiratory resistance detection device |
| CN107037447A (en) * | 2017-06-06 | 2017-08-11 | 合肥光博量子科技有限公司 | The round-the-clock round-the-clock atmospheric aerosol particulate matter laser radar apparatus of outdoor type |
| CN109991044A (en) * | 2017-12-31 | 2019-07-09 | 青岛恒远科技发展有限公司 | A kind of intelligence Quality Control instrumentation particulate matter film method of sampling and equipment |
| CN108344453B (en) * | 2018-04-18 | 2023-05-23 | 军事科学院系统工程研究院卫勤保障技术研究所 | Portable positive and negative pressure biological protection equipment detection box |
-
2020
- 2020-12-23 CN CN202011531094.7A patent/CN112285002B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN112285002A (en) | 2021-01-29 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN204831979U (en) | Double-channel atmospheric dust on-line monitoring equipment | |
| CN101303301A (en) | Flue gas powder dust and characteristic gas simultaneous on-line monitoring method and apparatus | |
| CN105606666A (en) | Gas sensor based portable switch cabinet partial discharge detection device and method | |
| CN102252991A (en) | Ultraviolet differential flue gas concentration monitoring system through heat and moisture extraction process | |
| CN210665422U (en) | Automatic zero calibration device for measuring particulate matters by laser scattering method | |
| CN108801718A (en) | A kind of tail gas on-line monitoring system peculiar to vessel | |
| CN109991183A (en) | Factory's flue gas emission monitoring device | |
| CN109443448A (en) | A kind of Biohazard Safety Equipment Multi-parameter detection device | |
| CN112539888B (en) | Camera rotor packing cooling water leakage monitoring and analyzing device and application method | |
| CN112285002B (en) | Filter efficiency online monitoring system and method for shelter filter | |
| CN220708859U (en) | Be applied to miniature environmental air monitoring system's gas circuit structure | |
| CN210923465U (en) | Carbon dioxide on-line monitoring system of coal-fired power plant | |
| CN211635759U (en) | Exhaust treatment device with detect function | |
| CN211014321U (en) | Automatic change environment measuring device | |
| CN205003131U (en) | Integration hydrogen concentration monitoring devices | |
| CN209372636U (en) | A kind of filter clogging effect verifying attachment | |
| CN105044012A (en) | Wet UV absorption method for on-line detection of atmospheric particulate | |
| CN202166609U (en) | Ultraviolet difference smoke density monitoring system using hot wet extraction method | |
| CN209282177U (en) | Wet etching drying equipment | |
| CN213517054U (en) | Energy-saving emission-reducing waste gas detection device | |
| CN211576948U (en) | Automatic comprehensive smoke and dust tester | |
| CN211697714U (en) | Catering oil smoke detection device | |
| CN105115868A (en) | Atmosphere particle gap wet detection apparatus | |
| CN201514776U (en) | Automatic dispersant-alkalizer feeding monitor device for nuclear power station | |
| CN106404348A (en) | Comprehensive purifier pulse xenon lamp performance test method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20240827 Address after: Room 305, 3rd Floor, Building 1, No. 7 Liangshuihe Second Street, Beijing Economic and Technological Development Zone, Daxing District, Beijing 100176 Patentee after: Beijing Ark Equipment Center (Limited Partnership) Country or region after: China Address before: 100094 room 301-1, 3 / F, building 2, yard 5, Yongfeng Road, Haidian District, Beijing Patentee before: Beijing nuclear trust Ruishi Safety Technology Co.,Ltd. Country or region before: China |