WO2023008322A1

WO2023008322A1 - Control method for sampling device, sampling device, and sampling system

Info

Publication number: WO2023008322A1
Application number: PCT/JP2022/028433
Authority: WO
Inventors: 翠芳黄
Original assignee: ダイキン工業株式会社
Priority date: 2021-07-30
Filing date: 2022-07-22
Publication date: 2023-02-02
Also published as: CN115683749A

Abstract

This invention provides a control method for a sampling device, a sampling device, and a sampling system. An optimal sampling location is identified on the basis of the actual environmental conditions in a room, and sampling is performed by moving directly to the optimal sampling location, thus enabling improved reliability of sampling results and higher sampling efficiency. Also, on the basis of the distribution characteristics for an environment with different contamination sources, sampling that matches the purpose for various contamination sources can be realized, thus enabling the achievement of higher sampling accuracy, flexibility, and diversity.

Description

Sampling device control method, sampling device and sampling system

The present invention relates to the field of detection, and more particularly to a sampling device control method, sampling device and system.

As users attach more and more importance to the quality of indoor air, indoor air detection technology is receiving a lot of attention. Air sampling is an important part of the art of indoor air detection.

　Conventional air sampling and detection technologies mainly include the following methods. One is to use sensors for detection, but usually these sensors only detect common parameters such as temperature, humidity, PM2.5, formaldehyde, VOCs, etc. and some pollutants. can be detected, and the accuracy of the detection result is low.

The other is the traditional on-site air sampling service, but this kind of sampling service is relatively expensive, and at the same time, the detector will come to your home with a set of equipment to collect the sample. must be returned to the laboratory for analysis after collection. Such sampling and detection schemes require the consumption of large amounts of human resources and are costly.

In addition, another method is to sample at a fixed point in the room, and after sampling is completed, it is directly transported to the detection center for analysis of the results. exists and the location of the contamination source cannot be defined.

In recent years, more mobile sampling devices have emerged, but current mobile sampling devices can sample and detect all points in the room or sample and detect at multiple pre-marked fixed locations. do. Therefore, there is a problem that the detection efficiency is low and the accuracy of the detection result is low.

It should be noted that the above introduction to the technical background is merely described to make the technical solutions of the present invention clear, complete and easy to explain, and to facilitate the understanding of those skilled in the art. is. It is not considered that the above technical solutions are known to those skilled in the art, just because these solutions are described in the background art part of the present invention.

To solve at least one of the above problems, the embodiments of the present invention provide a sampling device control method, a sampling device and a system, firstly obtain the environment distribution situation in the target area, and Based on the actual environmental distribution situation in the area, the optimum sampling position is identified, and the sampling device is driven to move to the optimum sampling position for air sampling. In this way, based on the actual environmental conditions in the room, it is possible to identify the optimum sampling position and directly move to the optimum sampling position for sampling, thereby improving the reliability of the sampling result and the sampling efficiency. Moreover, according to the distribution characteristics of different pollution sources in the environment, it is possible to achieve purposeful sampling of various pollution sources, and achieve sampling accuracy, flexibility and diversity.

According to a first aspect of an embodiment of the present invention, obtaining an environmental distribution within a target area; and identifying an optimal sampling position within the target area based on the environmental distribution within the target area. and driving the sampling device to move to the optimum sampling position for air sampling.

According to a second aspect of the embodiment of the present invention, comprising a moving part and an apparatus main body part, the moving part moves to an optimal sampling position within a target area to perform air sampling based on a control command. and wherein the optimum sampling position is identified based on the environmental distribution within the target area.

According to a third aspect of an embodiment of the present invention, the sampling device according to the second aspect of the embodiment of the present invention, and a detection device for detecting the sample collected by the sampling device and acquiring detection data of the sample. and a sampling system comprising:

One of the beneficial effects of the embodiments of the present invention is to identify the optimum sampling position based on the actual environmental conditions in the room, and directly move to the optimum sampling position for sampling, so that the reliability of the sampling result is improved. and can improve the sampling efficiency, and according to the environmental distribution characteristics of different pollution sources, achieve purposeful sampling of various pollution sources, and achieve sampling accuracy, flexibility and diversity. can be done.

With reference to the following description and drawings, specific embodiments of the invention are disclosed in detail to demonstrate the manner in which the principles of the invention may be employed. It should be understood that embodiments of the invention are not limited in scope. Embodiments of the invention include many variations, modifications and equivalents within the spirit and terms of the appended claims.

Feature information described and illustrated by one embodiment may be used in the same or similar form in one or more other embodiments, combined with feature information in other embodiments, or combined with feature information in other embodiments. Information can be substituted.

The term "inclusive/including" as used herein refers to the presence of a characteristic information, element, step or assembly, but excludes the presence or addition of one or more other characteristic information, elements, steps or assemblies. It should be emphasized that it is not

Many aspects of the invention can be better understood with reference to the following drawings. The elements in the drawings are not drawn to scale and are only for illustrating the principles of the invention. Corresponding portions may be enlarged or reduced in the drawings to facilitate illustration and description of some portions of the present invention. Elements and feature information shown in one drawing or embodiment of the invention can be combined with elements and feature information shown in one or more other drawings or embodiments. Also, in the drawings, like reference numerals may be used to denote corresponding elements in the several drawings and to designate corresponding elements used in one or more embodiments. In the drawing:
4 is a flow chart of a control method for the sampling device according to the first embodiment of the present invention; Fig. 4 is a flow chart of a method for obtaining environment distribution in a target area according to Embodiment 1 of the present invention; Fig. 4 is a flow chart of a method of moving the sampling device to acquire a map area according to the first embodiment of the present invention; FIG. 4 is a flow chart of another method for obtaining environment distribution within a target area according to Embodiment 1 of the present invention; FIG. Fig. 4 is a flowchart of a method for implementing step 103 according to Embodiment 1 of the present invention; FIG. 4 is a flowchart of another method for implementing step 103 according to Embodiment 1 of the present invention; FIG. 4 is a flow chart of an embodiment of a sampling device control method according to Embodiment 1 of the present invention; FIG. 4 is a structural diagram of a sampling device according to Embodiment 2 of the present invention; 1 is an external view of a sampling device according to Example 1 of the present invention; FIG. 1 is a top view of a sampling device according to Example 1 of the present invention; FIG. FIG. 9 is a cross-sectional view of the sampling device taken along line AA shown in FIG. 8; FIG. 4 is an exploded structural view of a set locking member and a first collection tube according to Embodiment 1 of the present invention; 1 is a structural diagram of a valve assembly according to Embodiment 1 of the present invention; FIG. 1 is an exploded view of a particulate matter collection assembly according to Embodiment 1 of the present invention; FIG. FIG. 9 is another cross-sectional view of the sampling device taken along line AA shown in FIG. 8; 9 is a further cross-sectional view of the sampling device along line AA shown in FIG. 8; FIG. 9 is a further cross-sectional view of the sampling device along line AA shown in FIG. 8; FIG. FIG. 4 is a structural diagram of a sampling system according to Embodiment 3 of the present invention; 9 is a flow chart of the operation of the sampling system according to Example 3 of the present invention;

Preferred embodiments of the present invention will be described below with reference to the drawings.
(Example 1)
Embodiment 1 of the present invention provides a control method for a sampling device. FIG. 1 is a flow chart of a sampling device control method according to a first embodiment of the present invention. As shown in FIG. 1 , the method includes steps 101 of obtaining an environment profile within a target area, and identifying an optimal sampling location within the target area based on the environment profile within the target area. 102 and driving 103 the sampling device to move to the optimal sampling position and perform air sampling.

In this way, based on the actual environmental conditions in the room, it is possible to identify the optimum sampling position and directly move to the optimum sampling position for sampling, thereby improving the reliability of the sampling result and the sampling efficiency. And, based on the distribution characteristics of different pollution sources in the environment, purposeful sampling of various pollution sources can be achieved, and sampling accuracy, flexibility and diversity can be achieved.

In an embodiment of the present invention, the sampling device control method can be performed by a single controller, which may be provided in the sampling device or in a separate control device, and , may be provided on a cloud server.

In an embodiment of the present invention, the target area refers to a sampled target area, such as an indoor space.

For example, the target area may be a room in the room or the entire indoor space.

In an embodiment of the invention, the sampling device is a movable sampling device. A specific structure of the sampling device will be described in detail below.

In an embodiment of the present invention, the sampling device can collect various samples, for example, the sampling target of the sampling device is at least one of various allergens and various toxic and harmful gases in the air. include.

For example, the sampling targets of the sampling device include, for example, allergens adhering to particulate matter such as pollen, mold and mites, and toxic and harmful gases in the air such as formaldehyde and VOC.

In an embodiment of the present invention, the environmental distribution within the target area can include the distribution of environmental parameters related to the distribution of sampling targets of the sampling device.

For example, the environment distribution status within the target area includes at least one of airflow distribution, temperature distribution, and humidity distribution within the target area.

For example, for formaldehyde in air, the amount of formaldehyde emitted is highest at the highest temperature, and for VOCs in air, the temperature is between 15°C and 25°C. In some cases, the concentration of VOCs is most active, and this temperature interval is also the optimum temperature range and location for sampling, and the effect of humidity is the greatest on mites adhering to particulate matter in the air. Large, when the relative humidity reaches 60% to 80%, mites are most active, and on the mold attached to the particulate matter in the air, the effect of humidity is also the greatest, and the place where the humidity is high. We found that the location with the best mold growth environment and highest humidity was the best location to collect the mold.

In this way, by taking environmental factors into account, the collection accuracy of each pollution source can be improved, and the maximum pollution degree for each pollution source within the target area can be collected.

Acquiring the airflow distribution and temperature/humidity distribution in the target area will be described below.

FIG. 2 is a flow chart of a method for acquiring the environment distribution status within the target area according to the first embodiment of the present invention. As shown in FIG. 2, the method includes steps 201 of obtaining map information of a target area, and steps 202 of determining airflow distribution within the target area based on the map information of the target area.

In the embodiment of the present invention, the map information of the target area is a plan view of the target area including, for example, the floor plan of the current area, and the distribution information of obstacles such as furniture and household items.

In this way, for example, a location with high airtightness is specified based on the airflow distribution, that is, after passing through the natural wind simulation, a location with poor ventilation due to shielding appears, and the pollution source at this location is also the least affected by the outside. It's the place. Therefore, collecting a sample of the contaminant at that location allows the collection of the maximum content of the contaminant closest to the actual target area, thereby further improving collection accuracy.

In step 201, the map information of the target area can be obtained according to various methods, for example, the user or the property developer provides the map information, or moves the sampling device to obtain the location information. Map information can also be established by

FIG. 3 is a flow chart of a method of moving the sampling device to acquire a map area according to the first embodiment of the present invention. As shown in FIG. 3, the method includes the step 301 of moving the sampling device to circle the target area and performing movement positioning, the step 302 of obtaining the position information of the target area, and based on the position information, , and a step 303 of establishing a plan view of the target area.

At step 202, the airflow distribution within the target area is identified based on the map information of the target area.

For example, the map information of the target area is input to the first simulation module or the first machine learning module, and the airflow distribution map within the target area is output.

For example, the first simulation module may be various simulation models such as a Computational Fluid Dynamics (CFD) simulation model.

The first machine learning module may be, for example, a model based on various types of machine learning, such as a support vector machine (SVM) model or a convolutional neural network (CNN) model.

FIG. 4 is a flow chart of another method for obtaining the environment distribution situation within the target area according to the first embodiment of the present invention. As shown in FIG. 4, the method includes step 401 of collecting temperature and/or humidity data within a target area, step 402 of obtaining map information of the target area, and temperature and/or humidity data within the target area. determining 403 the temperature and/or humidity distribution within the target area based on the data and map information of the target area.

In this way, different control policies can be adjusted accordingly by being able to respond to current temperature and/or humidity data and respond to different pollution source distributions. That is, sampling different contaminants at different locations for the actual temperature and/or humidity data makes the sampling more purposeful and the sampling effect better.

Collecting temperature and/or humidity data within the target area in step 401 can be obtained in a variety of ways. For example, the sampling device may be provided with a temperature sensor and/or a humidity sensor, and the sampling device may be moved to acquire temperature and/or humidity data at multiple locations within the target area.

In this way, there is no need to install a separate sensor in the room, the data collection function can be realized with a simple structure, and the cost is further reduced.

The specific method of obtaining the map information of the target area in step 402 can refer to the implementation of step 201 and will not be described in detail here.

At step 403, the temperature distribution and/or humidity distribution within the target area is identified based on the temperature and/or humidity data within the target area and the map information of the target area.

For example, temperature and/or humidity data within the target area and map information of the target area are input to a second simulation module or a second machine learning module, and a temperature distribution map and/or humidity distribution map within the target area is generated. Output.

For example, the second simulation module may be various simulation models such as a computational fluid dynamics (CFD) simulation model.

For example, the second machine learning module may be a model based on various types of machine learning, such as a support vector machine (SVM) model or a convolutional neural network (CNN) model.

After obtaining the environmental distribution within the target area, in step 102, based on the environmental distribution within the target area, the optimal sampling position within the target area is identified.

For example, in step 102, the environment distribution situation within the target area is input to the third machine learning model, and the optimal sampling position within the target area is output.

For example, the third machine learning module may be a model based on various types of machine learning, such as a support vector machine (SVM) model or a convolutional neural network (CNN) model.

Also, for example, in step 102, the optimal sampling position within the target area is identified based on the environment distribution situation within the target area and a pre-established lookup table.

In an embodiment of the present invention, in addition to obtaining the optimal sampling location in step 102, further identifying the type of pollution source corresponding to the optimal sampling location according to the environmental distribution in the target area. can be done.

In this way, it is possible to perform purposeful sampling at a specified position, further improving sampling efficiency and sampling accuracy.

For example, the airflow distribution, temperature distribution and/or humidity distribution in the target area output by the CFD simulation model are indicated by different colors, for example, different colors indicate areas and positions with different numerical values. For example, a pre-established lookup table maps temperature and/or humidity to what is sampled.

In this way, it is possible to easily and conveniently specify what kind of sample is to be collected at which position, thereby realizing the purposefulness and accuracy of sampling at low cost.

In an embodiment of the present invention, for example, as shown in FIG. 1, the method determines a route to travel to the optimal sampling location based on the optimal sampling location within the target area and map information of the target area. A step of identifying 104 may further be included.

For example, the path is the shortest path that avoids obstacles in the target area and reaches the optimal sampling position.

In this way, the efficiency of sampling can be further improved.

Accordingly, in step 103, drive the sampling device to follow the identified path to move to the optimum sampling position for air sampling.

FIG. 5 is a flow chart of a method for implementing step 103 according to the first embodiment of the present invention. As shown in FIG. 5, the method includes step 501 of driving a sampling device to move to the optimal sampling position; controlling the sampling device to time-divisionally sample at least two types of pollution sources; and sampling 502 different pollution sources at different times.

For example, at different times, the sampling device switches between different sample collection members to sample different contamination sources. That is, the sampling device has multiple sample collection members for sampling different sources of contamination.

In this way, samples from different contamination sources can be collected by time-division sampling, as opposed to the case where there is one optimal sampling position.

In embodiments of the invention, the sample collection member can include at least one particulate matter collection assembly and at least one gas collection assembly.

FIG. 6 is a flowchart of another method for implementing step 103 according to Embodiment 1 of the present invention. As shown in FIG. 6, the method includes step 601 of driving the sampling device to sequentially move to at least two optimal sampling locations; and a controlling step 602 .

For example, at different optimal sampling positions, the sampling device switches between different sample collection members to sample different contamination sources. That is, the sampling device has multiple sample collection members for sampling different sources of contamination.

Thus, for situations with multiple optimal sampling locations corresponding to different contamination sources, samples from different contamination sources can be collected by sequentially moving to each optimal sampling location.

In step 103, after the sampling device is moved to the optimal sampling position, it may be adjusted to a preset sampling height and control the sampling device to perform air sampling.

In embodiments of the present invention, height adjustments to the sampling device may be performed by the user or automatically by the sampling device.

In the embodiment of the present invention, the preset height can be set according to the actual situation. For example, the preset height is a number in the range of 1-1.5 meters.

In this way, it is possible to avoid being affected by ground dust and at the same time ensure the accuracy of sampling.

In an embodiment of the present invention, as shown in FIG. 1, the method includes steps 105 of generating a logistics order for removing samples on-site after sampling by the sampling device is finished; It can further include steps 106 of obtaining detection data for the collected sample, and generating 107 a detection report based on the detection data and transmitting or publishing the detection report to a server.

By being able to generate detection reports efficiently in this way, users or the public can obtain detection results and other useful information in a timely manner.

In an embodiment of the present invention, for example, the published content of the detection report includes data corresponding to temperature and humidity, CO2, formaldehyde, VOC, PM2.5, mold, pollen and mites, and animal hair, and some corresponding The improvement proposals can include a range of products and solutions as well as methods for rapidly removing allergens and harmful gases.

FIG. 7 is a flow chart of an embodiment of a sampling device control method according to Embodiment 1 of the present invention. As shown in FIG. 7, the method includes step 701 of controlling to turn on a sampling device, step 702 of obtaining environmental distribution within the target area, and based on the environmental distribution within the target area, , step 703 of identifying the optimal sampling position within the target area, step 704 of controlling the sampling device to reach the optimal sampling position by the controller, and step 704 of controlling the sampling device to adjust the height by the controller. and step 705 of specifying a sampling time, step 706 of collecting at least two allergen (particulate matter) samples and collecting at least two gas samples, and after collecting the samples, Step 707 of generating a logistics order and taking away samples on-site; Step 708 of obtaining detection data for at least two allergen (particulate matter) samples and at least two gas samples; and reporting based on the detection data. and a step 709 of generating and presenting to the client.

In an embodiment of the present invention, the controller is, for example, the controller of the sampling device, may be a controller provided separately, or may be a controller provided in the cloud server.

As can be seen from the above examples, based on the actual environmental conditions in the room, the optimum sampling position is specified, and the sampling is performed by directly moving to the optimum sampling position to improve the reliability of the sampling result and the sampling efficiency. can be improved, and based on the environmental distribution characteristics of different pollution sources, it is possible to achieve targeted sampling for various pollution sources, and achieve sampling accuracy, flexibility and versatility.

(Example 2)
Embodiment 2 of the present invention provides a sampling device that is the controlled object of the control method described in Embodiment 1, and the relevant content can refer to the implementation of the method described in Embodiment 1, the same content or Relevant parts of the content will not be repeated.

FIG. 8 is a structural diagram of a sampling device according to Embodiment 2 of the present invention. As shown in FIG. 8, a sampling device 800 includes a moving unit 801 and a device main unit 802. driving the apparatus body to perform air sampling by moving to an optimum sampling position within a target area according to a control command, wherein the optimum sampling position is based on the environmental distribution situation within the target area; identified by

In embodiments of the present invention, the moving part 801 may be various moving structures that can be driven to move the sampling device. For example, as shown in FIG. 8, moving portion 801 includes wheels, which transmit traction. As a result, the sampling device 800 can perform various moving operations such as straight running, turning, rotating, accelerating, decelerating, and stopping within the target area.

FIG. 9 is an external view of the sampling device according to Example 1 of the present invention. As shown in FIG. 9, the sampling device 800 further includes a packaging box 803 in which the moving part 801 and the device main body 802 are placed, and the packaging box 803 is provided with a handle 804 .

In this way, the portability and reliability of the sampling device can be improved, for example, a packaging box can facilitate rental or sale to users, and can provide protection during the transportation process. In addition, the device is small and sophisticated.

As shown in FIG. 8, the apparatus body 802 includes a case 805, an intake passage and an exhaust passage, a gas passage 806 embedded in the case, and an inlet 807 of the gas passage 806. a particulate collection assembly (not shown in FIG. 8) for collecting airborne particulate matter and a gas collection assembly 808 disposed within the gas passage for collecting airborne gas samples; , is mounted in the gas passage and includes a fan 809 for providing pneumatic power, a battery for powering, and a controller 811 for controlling the operating state and movement of the sampling device.

In this way, allergen-laden particulate matter and gas can be collected simultaneously, and the particulate matter collection assembly and the gas collection assembly are provided in the same gas passageway to diversify the sampling while increasing the volume. to be smaller. In addition, collecting particulate matter at the inlet of the gas passage avoids cross-contamination of the inside of the gas passage and affecting the results of gas sampling.

For example, the case 805 can include an upper case, a lower case and two side cases. The upper case includes a first subcase, a second subcase and a third subcase. The first sub-case is the upper surface of the case, one end of the first sub-case is seamlessly connected to the second sub-case, and the other end is relatively parallel to the second sub-case. Connects seamlessly to the case. The first sub-case is perpendicular to the second and third sub-cases, and the two sub-cases are slidably connected to the upper case. The assembled upper case and lower case are combined to form a sampling device.

In embodiments of the present invention, the gas passage 806 may have one inlet 807, or may have two inlets 807, left and right, as shown in FIG.

In an embodiment of the present invention, the gas passageway 806 may include only one intake passageway, which collects particulate matter with different contaminant sources (eg, allergens) by switching filters.

FIG. 10 is a top view of the sampling device according to Example 1 of the present invention. As shown in FIG. 10, the gas passageway 806 includes only one intake passageway, which is connected to the exhaust passageway, and the particulate collection assembly includes at least two filters 812, rotating discs 813 and Including a rotating shaft (not shown), the at least two filters 812 are mounted within the rotating disk 813 and positioned in the same horizontal plane, one of which is positioned within the intake passage. can be rotated about the axis of rotation.

In this way, by providing only one intake passage and intake port, the volume of the sampling device can be reduced to the maximum, realizing diversified detection while reducing the structure. When the corresponding allergen attached to the particulate matter needs to be collected, it can be collected by rotating the knob on the top surface of the case and correspondingly turning the collecting sample filter to the air inlet. It realizes even more diverse detection after reducing the volume.

FIG. 11 is a cross-sectional view of the sampling device taken along line AA shown in FIG. As shown in FIG. 11, the gas passageway 806 includes only one intake passageway, which is connected to the exhaust passageway, and the particulate collection assembly includes at least two push-pull rods and at least two A filter 812 is included and one of the at least two push-pull rods pushes one of the at least two filters 812 into the intake passage.

In this way, it is possible to reduce the volume, reduce noise, and improve the sampling accuracy.

In an embodiment of the present invention, for example, the side wall of the intake passage is set grooved, the gas collection assembly includes at least two collection tubes, the at least two collection tubes respectively disposed within the intake passage. one end is fixed in the set groove and the other end is inserted in the intake passage.

For example, the at least two collection tubes are provided in parallel within the intake passage, the collection tubes comprising a collection member fixedly connected at its end to the set groove, and a collection member fixed within the collection member to collect the sample. and a detection core for collecting.

In this way, the collection tube realizes detachable operation, which facilitates sampling, and the whole process does not involve the intervention of external elements, and the hand directly touches to cross and contaminate the sample in the collection tube. to avoid affecting detection results.

In an embodiment of the present invention, a set locking member can be further provided in the set groove, and the at least two collection tubes include a first collection tube.

FIG. 12 is an exploded structural view of the set locking member and the first collection tube according to the first embodiment of the present invention.

As shown in FIG. 12, the first collection tube 814 has a male thread 815 on the outside of the end thereof, and a female thread 817 is provided in the set locking member 816 so that the first collection tube 814 can be set locking. Threaded into member 816 .

It should be noted that the at least two collection tubes can further include a second collection tube 818 locked within the set locking member 816 .

In this way, the first collection tube and the set locking member are screwed and fixed, and the fixation is stable without falling off due to vibration due to strong wind or operation of the sampling device.

In addition, in order to make removal more convenient and quick, it may be installed with a lock.

In an embodiment of the present invention, a valve assembly may be provided at the inlet of the intake passage.

FIG. 13 is a structural diagram of a valve assembly according to Example 1 of the present invention. As shown in FIG. 13, the valve assembly includes a cover plate 819 and a self-folding structure 820, wherein the self-folding structure 820 includes a motor and a folding arm, and the cover plate 819 is actuated by the motor. As the folding arms are driven, they cover or open the intake passage.

In an embodiment of the present invention, the number of cover plates 819 is adapted to the number of intake passage inlets, ie one cover plate 819 covers one intake passage.

In this way, when the sampling device is not in operation, it is possible to protect the sample to be sampled from being affected by external sources of contamination and at the same time protect the intake passage from contamination.

Also, the top surface of the cover plate 819 may be flush with the top surface of the case 805 . This makes the overall sampling device smaller in volume and more portable.

In an embodiment of the present invention, the device main unit 802 can further include a communication module (not shown) that communicates with a cloud server.

In this way, data transmission between the sampling device and the outside can be realized.

In addition, the cloud server can further calculate the degree of fatigue and comfort and transmit it to the display screen by the communication module.

In an embodiment of the present invention, for example, a drop groove is provided at the inlet of the intake passage, and the particulate matter collection assembly is provided within the drop groove.

FIG. 14 is an exploded view of the particulate matter collection assembly according to Example 1 of the present invention. As shown in FIG. 14, the particulate collection assembly includes an upper pressure sheet 821 and a lower pressure sheet 822 with a central filter (not shown in FIG. 14).

In this way, the filter can be better fixed and particulate matter can be better collected.

Alternatively, the body of the filter can be directly layered according to the particle size of the particulate matter, and the filter can be removed. For example, a first layer collects particulate matter with a large particle size through a filter, and a second layer collects particulate matter with a small particle size. In this way, it is possible to avoid collecting all the particulate matter in one filter, achieve stratified sampling, and further reduce the volume of the sampling device.

In an embodiment of the present invention, the exhaust passage and the intake passage may be provided perpendicular to each other.

By connecting them vertically in this way, there is one corner at the connection point of the intake passage and the exhaust passage, and if a large space is formed at the corner, the volume of the sampling device is reduced. This space also buffers the air and reduces noise.

FIG. 15 is another cross-sectional view of the sampling device taken along line AA shown in FIG. As shown in FIG. 15, the intake passage 823 and the exhaust passage 824 are provided perpendicularly.

By providing a trapezoidal exhaust passage, it is possible to exhaust air more quickly. In addition, noise is reduced by increasing the exhaust area by making the exhaust air have a certain included angle. In addition, it can be provided on a curved surface and presents a C shape. The exhaust area is further expanded.

FIG. 16 is a further cross-sectional view of the sampling device along line AA shown in FIG. As shown in FIG. 16, the intake passage 823 and the exhaust passage 824 are provided perpendicularly, and the exhaust passage 824 is provided in a trapezoidal shape. In embodiments of the present invention, each inner wall of the exhaust passage can be provided with additional cushioning lining 831 to reduce fan and exhaust noise and further improve the user experience of the sampling device.

In the embodiment of the present invention, the exhaust passage and the intake passage may be provided along the same direction.

In this way, the wind is taken in from the top of the case and exhausted from the bottom of the case. , the noise can be greatly reduced.

FIG. 17 is a further cross-sectional view of the sampling device along line AA shown in FIG. As shown in FIG. 17, the intake passage 823 and the exhaust passage 824 are provided along the same direction (that is, the vertical direction).

In an embodiment of the present invention, the fan 809 can be provided within the exhaust passage or within the intake passage.

In this way, the suction force can be increased, the intake speed can be improved, and the exhaust path can be shortened.

The cross-sectional views of the first intake passage and the second intake passage are provided in a U shape. By extending the path, the air volume is increased, and when the gas sample is collected, the better the contact of the gas with the collection tube, the better the collection effect. In addition, the fan 809 is far from the air inlet, and the air intake passage is a curved passage. When the air intake passage is extended, the wind force is larger, the air volume is more sufficient, and the particulate matter is filtered and the gas is It creates a good spatial foundation for the collection of the , and the collection effect of the filter and the collection tube is better.

In an embodiment of the present invention, the device body 802 may further include an up/down button 825, a switch button 826, a tray 827 and an elevating bracket 828, as shown in FIG. Here, the height of the sampling device can be adjusted by raising and lowering the elevation bracket 828 with the up and down button 825 . A switch button 826 can control the on and off of the sampling device.

In an embodiment of the present invention, the device body 802 may further include at least one of a temperature sensor, a humidity sensor, various types of particulate matter sensors, and a carbon dioxide sensor.

Further, it is possible to display the data detected by the sensor on the display screen 829 and realize various collections.

Note that the exhaust passage 824 has an exhaust port 830 .

As can be seen from the above examples, based on the actual environmental conditions in the room, the optimum sampling position is identified, and the sampling is performed by directly moving to the optimum sampling position to improve the reliability of the sampling result and the sampling efficiency. can be improved, and based on the environmental distribution characteristics of different pollution sources, it is possible to achieve targeted sampling for various pollution sources, and achieve sampling accuracy, flexibility and versatility.

(Example 3)
Example 3 of the present invention provides a sampling system comprising the sampling device as described in Example 2, the specific implementation of which is referred to the implementation of the device as described in Example 2 and the method as described in Example 1. and do not repeat the same or related parts of the content.

FIG. 18 is a structural diagram of a sampling system according to Embodiment 3 of the present invention. As shown in FIG. 18, a sampling system 1800 includes a sampling device 1801 and samples collected by the sampling device, a detection device 1802 that obtains detection data for the .

In an embodiment of the present invention, the sampling device 1801 generates a detection report based on the detection data and transmits or publishes the detection report to a server.

In the embodiments of the present invention, the specific structure and function of the sampling device 1801 can refer to the device described in Example 2 and the method described in Example 1, and will not be repeated here.

FIG. 19 is a flow chart of the operation of the sampling system according to Example 3 of the present invention. As shown in FIG. 19, the flow of operation is step 1901 in which the control module turns on the sampling device, step 1902 in which the environmental profile within the target area is obtained, and step 1903 in which the optimal sampling position is identified. , step 1904 driving the sampling device to reach and sample the optimum sampling position; step 1905 adjusting the sampling device to the corresponding sample collection member and adjusting the corresponding height; turning on the valve assembly; , air enters the passageway, the first particulate collection assembly collects an allergen (particulate matter) sample, the first gas detection assembly collects a gas sample 1906; Step 1907 of turning off and driving the sampling device to reach and collect the next optimal position point, and automatically adjusting to the corresponding sample collection member after reaching the position point so that the sampling device corresponds step 1908, turn on the valve assembly to allow air into the passageway, the second particulate collection assembly collects the allergen (particulate matter) sample, and the second gas detection assembly collects the gas Step 1909 of collecting samples and step 1910 by analogy therewith until the sampling is finished; transmitting the sensor data to the display screen in real time or to the server in the cloud via the 4G module; step 1911, after the detection is finished, the cloud server generates a logistics order, and the logistics person takes the sample off-site step 1912, and the corresponding allergen (particulate matter ) detect samples and gas detection samples 1913; generate detection reports, upload detection reports to servers in the cloud, and visualize them directly through the WeChat application 1914;

The above apparatus and method according to the embodiments of the present invention may be realized by hardware or by combining software with hardware. The present invention relates to such a computer readable program which, when executed by a logic component, causes the logic component to implement the device or component described above, or causes the logic component to implement any of the above methods or methods. steps can be realized.

Embodiments of the present invention further relate to storage media for storing the above programs, such as hard disks, magnetic disks, optical disks, DVDs, and flash memories.

In addition, the limitation of each step according to the present solution means does not limit the order of steps before and after, on the premise that it does not affect the implementation of the concrete solution means, and the step written before is executed first. may be carried out later, or may be carried out at the same time as the later steps, as long as the solution can be implemented, should be regarded as belonging to the protection scope of the present application.

Although the present invention has been described with reference to specific embodiments, it will be understood by those skilled in the art that these descriptions are for illustrative purposes only and do not limit the protection scope of the present invention. should be understood. Persons skilled in the art can make various modifications and amendments to the present invention based on the spirit and principles of the invention, and these modifications and amendments are also within the scope of the present invention.

Claims

obtaining an environment distribution situation within the target area;
identifying an optimal sampling position within the target area based on the environment distribution situation within the target area;
driving a sampling device to move to the optimal sampling location for air sampling;
A sampling device control method characterized by:
the environment distribution status within the target area includes at least one of airflow distribution, temperature distribution, and humidity distribution within the target area;
2. The method of controlling a sampling device according to claim 1, wherein:
Acquiring the environment distribution status within the target area includes:
obtaining map information for a target area;
determining an airflow distribution within the target area based on map information of the target area;
3. The method of controlling a sampling device according to claim 1, wherein:
Identifying an airflow distribution in the target area based on map information of the target area,
inputting map information of the target area into a first simulation module or a first machine learning module, and outputting an airflow distribution map in the target area;
4. The control method of the sampling device according to claim 3, characterized in that:
Acquiring the environment distribution status within the target area includes:
collecting temperature and/or humidity data within the target area;
obtaining map information for a target area;
determining temperature distribution and/or humidity distribution within the target area based on temperature and/or humidity data within the target area and map information of the target area;
3. The method of controlling a sampling device according to claim 1, wherein:
determining temperature distribution and/or humidity distribution within said target area based on temperature and/or humidity data within said target area and map information of said target area;
inputting temperature and/or humidity data in the target area and map information of the target area into a second simulation module or a second machine learning module, and outputting a temperature distribution map and/or a humidity distribution map in the target area; including
6. The method of controlling a sampling device according to claim 5, wherein:
Identifying an optimal sampling position within the target area based on the environmental distribution situation within the target area,
inputting the environment distribution situation within the target area into a third machine learning model and outputting the optimal sampling position within the target area;
2. The method of controlling a sampling device according to claim 1, wherein:
Identifying an optimal sampling position within the target area based on the environmental distribution situation within the target area,
identifying an optimal sampling location within the target area based on an environmental profile within the target area and a pre-established lookup table;
2. The method of controlling a sampling device according to claim 1, wherein:
Identifying an optimal sampling position within the target area based on the environmental distribution situation within the target area,
Identifying an optimal sampling location within the target area and a type of pollution source corresponding to the optimal sampling location based on the environmental distribution within the target area;
9. The control method of the sampling device according to claim 1, 7 or 8, characterized in that:
further comprising identifying a route to travel to the optimal sampling location based on the optimal sampling location within the target area and map information of the target area;
2. The method of controlling a sampling device according to claim 1, wherein:
The path is the shortest path that avoids obstacles in the target area and reaches the optimal sampling position.
11. The method of controlling a sampling device according to claim 10, wherein:
said driving the sampling device to move to said optimal sampling position for air sampling;
driving a sampling device according to the identified path to move to the optimal sampling location for air sampling;
2. The method of controlling a sampling device according to claim 1, wherein:
said driving the sampling device to move to said optimal sampling position for air sampling;
driving a sampling device to move to the optimal sampling position;
sampling at least two contamination sources in a time division manner and controlling the sampling device to sample different contamination sources at different times;
2. The method of controlling a sampling device according to claim 1, wherein:
said driving the sampling device to move to said optimal sampling position for air sampling;
driving the sampling device to sequentially move to at least two optimal sampling positions;
controlling the sampling device to sample different pollution sources at different optimal sampling locations;
2. The method of controlling a sampling device according to claim 1, wherein:
said driving the sampling device to move to said optimal sampling position for air sampling;
further comprising controlling the sampling device to adjust to a preset sampling height and perform air sampling after the sampling device has moved to an optimal sampling position;
15. The method of controlling a sampling device according to any one of claims 12 to 14, characterized by:
generating a logistics order for taking samples off-site after sampling by the sampling device is finished;
obtaining detection data of samples collected by the sampling device;
generating a detection report based on the detection data and transmitting or publishing the detection report to a server;
2. The method of controlling a sampling device according to claim 1, wherein:
including a moving part and a device main body,
The moving unit drives the device main unit so as to move to an optimal sampling position within the target area and perform air sampling based on a control command,
wherein the optimal sampling position is identified based on the environmental distribution within the target area;
A sampling device characterized by:
further comprising a packaging box in which the moving part and the device body part are placed;
The packaging box is provided with a handle,
18. The sampling device according to claim 17, characterized in that:
The device main body is
a case;
a gas passage including an intake passage and an exhaust passage and provided embedded in the case;
a particulate collection assembly at the inlet of the gas passage for collecting airborne particulate matter;
a gas collection assembly disposed within the gas passage for collecting an airborne gas sample;
a fan in the gas passage for providing pneumatic power;
a battery for powering;
a controller that controls the operating state and movement of the sampling device;
18. The sampling device according to claim 17, characterized in that:
the gas passageway includes only one intake passageway, the intake passageway being connected to the exhaust passageway;
the particulate collection assembly includes at least two filters, a rotating disk and a rotating shaft;
The at least two filters are provided in the rotating disk, are positioned in the same horizontal plane, and can rotate about the rotation axis so as to position one of the filters in the intake passage. can,
20. The sampling device according to claim 19, characterized by:
the gas passageway includes only one intake passageway, the intake passageway being connected to the exhaust passageway;
The particulate collection assembly includes at least two push-pull rods and at least two filters, one push-pull rod of the at least two push-pull rods connecting one of the at least two filters to the intake air. push into the aisle
20. The sampling device according to claim 19, characterized by:
A set groove is formed in the side wall of the intake passage,
the gas collection assembly includes at least two collection tubes;
The at least two collection tubes are respectively installed in the intake passage, one end is fixed in the set groove, and the other end is inserted into the intake passage.
20. The sampling device according to claim 19, characterized by:
the at least two collection tubes are arranged in parallel within the intake passage;
The collection tube includes a collection member whose end is fixedly connected to the set groove, and a detection core fixed within the collection member for collecting a sample.
23. A sampling device according to claim 22, characterized in that:
the set groove further includes a set locking member,
said at least two collection tubes including a first collection tube;
a male thread is provided on the outside of the end of the first collection tube, and a female thread is provided in the set locking member;
the first collection tube is threaded into a set locking member;
23. A sampling device according to claim 22, characterized in that:
said at least two collection tubes further comprising a second collection tube;
the second collection tube is locked within the set locking member;
23. A sampling device according to claim 22, characterized in that:
The device main body is
further including a communication module that communicates with a server in the cloud;
20. The sampling device according to claim 19, characterized by:
A sampling device according to any one of claims 17 to 26;
a detection device that detects the sample collected by the sampling device and obtains detection data of the sample;
A sampling system characterized by: