KR102442299B1 - Microorganism monitoring system, and method of monitoring microorganism and Microorganism treatment system - Google Patents

Abstract

An embodiment of the present invention comprises: an optical monitoring unit having an optical unit configured to perform optical monitoring for a processing space, a comparison control unit for comparing and analyzing optical monitoring data obtained through the optical monitoring unit with microbial measurement data; and a microbial distribution information generation control unit for generating microbial information indicating whether or not the relative distribution of microorganisms in the processing space is performed using the result obtained through the comparison control unit.

Description

Microorganism monitoring system, microorganism monitoring method, and microorganism treatment system {Microorganism monitoring system, and method of monitoring microorganism and Microorganism treatment system}

The present invention relates to a microbial monitoring system, a microbial monitoring method and a microbial treatment system.

Microorganisms invisible to the human eye, for example, various bacteria and viruses, have had various effects on humans for a long time.

In particular, the spread of microorganisms such as bacteria and viruses is increasing as transportation between regions increases with the development of technologies and industries.

In addition, as modernization and globalization accelerate along with the development of transportation means, it is a problem that a virus that has occurred in one region spreads all over the world.

For example, the recent coronavirus outbreak in Wuhan, China, has reached a pandemic level in just a few months, threatening people in more than 200 countries around the world.

If microorganisms such as these harmful viruses exist in places where a lot of people gather, such as public places, the contagion becomes greater, so monitoring and treatment are required.

However, microbes are difficult to detect with the naked eye, so there is a limit to monitoring microbes and processing such as sterilization or disinfection.

The present invention can provide a microbial monitoring system, a microbial monitoring control method, and a microbial treatment system that can easily monitor microorganisms and effectively process microorganisms accordingly.

An embodiment of the present invention comprises: an optical monitoring unit having an optical unit configured to perform optical monitoring for a processing space, a comparison control unit for comparing and analyzing optical monitoring data obtained through the optical monitoring unit with microbial measurement data; and a microbial distribution information generation control unit for generating microbial information indicating whether or not the relative distribution of microorganisms in the processing space is performed using the result obtained through the comparison control unit.

Another embodiment of the present invention provides an optical monitoring step having an optical unit configured to perform optical monitoring for a processing space, a comparison control step of comparing and analyzing the optical monitoring data obtained through the optical monitoring step with the microorganism measurement data, and the Disclosed is a microbial monitoring control method comprising a microbial distribution information generation control step of generating microbial information indicating whether or not the relative distribution of microorganisms in the treatment space by using the result obtained through the comparative control step.

Another embodiment of the present invention is an optical monitoring unit having an optical unit configured to perform optical monitoring for a processing space, a comparison control unit for comparing and analyzing optical monitoring data obtained through the optical monitoring unit with microbial measurement data, and the comparison Microbial treatment in the processing space using the information obtained through the microbial distribution information generation control unit and the microorganism distribution information generation control unit for generating microbial information indicating whether or not the relative distribution of microorganisms in the processing space using the result obtained through the control unit Disclosed is a microbial treatment system comprising a treatment unit configured to proceed.

Other aspects, features and advantages other than those described above will become apparent from the following drawings, claims, and detailed description of the invention.

The microorganism monitoring system, the microorganism monitoring control method, and the microorganism treatment system according to the present invention can easily monitor microorganisms and effectively process microorganisms accordingly.

1 is a schematic diagram showing a microorganism monitoring system according to an embodiment of the present invention.
FIG. 2 is a view showing an optional embodiment of the optical monitoring unit of the microbe monitoring system of FIG. 1 .
3 is a view showing an optional embodiment of the comparison control unit of the microorganism monitoring system of FIG. 1 .
Figure 4 is a schematic diagram showing a microorganism monitoring system according to another embodiment of the present invention.
5 is a view showing an optional embodiment of the culture microorganism data control unit of FIG.
6 is a view showing an optional embodiment of the actually measured microorganism data control unit of FIG.
7 is a schematic diagram illustrating a microbial treatment system according to an embodiment of the present invention.
FIG. 8 is a diagram illustrating an alternative embodiment of the movement control unit of FIG. 7 .
9 is a schematic diagram illustrating a microbial treatment system according to another embodiment of the present invention.
10 is a schematic perspective view illustrating an example of an optical monitoring unit according to an embodiment of the present invention.
11 is a flowchart illustrating an optical monitoring control method according to an embodiment of the present invention.
12 is a view for explaining a method for controlling cultured microorganism data according to an embodiment of the present invention.
13 is a view for explaining a method for controlling actually measured microorganism data according to an embodiment of the present invention.
14 is a diagram for explaining a comparison control method according to an embodiment of the present invention.
15 is a view for explaining a microorganism treatment system according to an embodiment of the present invention.
16 is a view for explaining a microorganism treatment system according to another embodiment of the present invention.

Since the present invention can apply various transformations and can have various embodiments, specific embodiments are illustrated in the drawings and described in detail in the detailed description. Effects and features of the present invention, and a method for achieving them, will become apparent with reference to the embodiments described below in detail in conjunction with the drawings. However, the present invention is not limited to the embodiments disclosed below and may be implemented in various forms.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings, and when described with reference to the drawings, the same or corresponding components are given the same reference numerals, and the overlapping description thereof will be omitted. .

In the following embodiments, terms such as first, second, etc. are used for the purpose of distinguishing one component from another, not in a limiting sense.

In the following examples, the singular expression includes the plural expression unless the context clearly dictates otherwise.

In the following embodiments, terms such as include or have means that the features or components described in the specification are present, and the possibility that one or more other features or components may be added is not excluded in advance.

In the drawings, the size of the components may be exaggerated or reduced for convenience of description. For example, since the size and thickness of each component shown in the drawings are arbitrarily indicated for convenience of description, the present invention is not necessarily limited to the illustrated bar.

In the following embodiments, the x-axis, the y-axis, and the z-axis are not limited to three axes on the Cartesian coordinate system, and may be interpreted in a broad sense including them. For example, the x-axis, y-axis, and z-axis may be orthogonal to each other, but may refer to different directions that are not orthogonal to each other.

In cases where certain embodiments are otherwise practicable, a specific process sequence may be performed different from the described sequence. For example, two processes described in succession may be performed substantially simultaneously, or may be performed in an order opposite to the order described.

1 is a schematic diagram showing a microorganism monitoring system according to an embodiment of the present invention.

The microbial monitoring system 100 of the present embodiment of FIG. 1 may perform microbial monitoring for the treatment space. For example, it is possible to monitor microorganisms such as viruses and bacteria in public areas that are frequently used by people.

Through this, it is possible to easily determine the degree of distribution of microorganisms including viruses or bacteria in the processing space.

Referring to FIG. 1 , the microorganism monitoring system 100 may include an optical monitoring unit 110 , a comparison control unit 150 , and a microbial distribution information generation control unit 180 .

The optical monitoring unit 110 may include an optical unit configured to perform optical monitoring of the processing space.

The optical monitoring unit 110 may acquire data including optical information about the processing space.

For example, the optical monitoring unit 110 may acquire spectral data for the processing space, and may include a spectral camera module as a specific example. Through this, it is possible to secure spectral data that varies depending on the presence or absence of microorganisms in the processing space, the number or type of microorganisms, and the like.

As an optional embodiment, the optical monitoring unit 110 may include a hyperspectral camera, and using the hyperspectral camera, a hyperspectral camera based on a precise wavelength for a plurality of continuous spectral bands for a processing space. Data can be obtained, and precise hyperspectral data changes caused by microorganisms present in the processing space can be found.

As an optional embodiment, the optical monitoring unit 110 may include a thermal imaging camera, and may secure thermal image data for the processing space by using the thermal imaging camera. The analysis result of such thermal image data can be used to identify information on the distribution of microorganisms in the processing space.

The comparison control unit 150 may compare and analyze the optical monitoring data obtained through the optical monitoring unit 110 with the microorganism measurement data.

For example, it is possible to use a pre-stored measured microorganism information data set, and as a specific example, relationship information between the measured microorganism information and optical data information may be used.

As an optional embodiment, relationship information between microbial information data and corresponding hyperspectral image data in a laboratory or processing space may be used, and as another example, relationship information between microbial information data and thermal image data corresponding thereto may be used. Meanwhile, accuracy may be improved by additionally using hyperspectral image data and thermal image data together.

In the above, the microorganism information data may include various information that can directly or indirectly infer the presence or absence of microorganisms in a laboratory or processing space, or the amount thereof, for example, it may include a colony-forming unit (CFU). And, it is expressed as a unit of the aggregate of bacterial growth that can be visually confirmed in the medium, and it can be measured by culturing in the laboratory, and as another example, it can be measured after collecting a sample using an adhesive material in the processing space. have.

In another example, the microbial information data in the above may include ATP data. ATP is an organic compound that supplies energy to perform various life activities in all living cells. An increase in ATP level means an increase in bacterial activity. can

FIG. 2 is a view showing an optional embodiment of the optical monitoring unit of the microbe monitoring system of FIG. 1 .

Referring to FIG. 2 , the optical monitoring unit 110 ′ may include a spectroscopic camera unit 111 ′ or a thermal imaging camera unit 112 ′.

The spectral camera unit 111' can secure spectral data for the processing space, and through the spectroscopic camera unit 111', it is possible to secure spectral data that varies depending on the presence or absence of microorganisms in the processing space, few or many or types of microorganisms. have.

As an optional embodiment, the spectral camera unit 111' may include a hyperspectral camera, and a second based on a precise wavelength for a plurality of continuous spectral bands for a processing space using the hyperspectral camera. Spectral data can be secured, and precise hyperspectral data changes caused by microorganisms present in the processing space can be seen.

The thermal image camera unit 112 ′ may secure thermal image data for the processing space. The analysis result of such thermal image data can be used to identify information on the distribution of microorganisms in the processing space.

As an optional embodiment, the optical monitoring unit 110' may have a form in which the spectral camera unit 111' and the thermal imager camera unit 112' are disposed in one housing. Further, as a further example, the optical monitoring unit 110' may include a circuit unit for processing data received from each of the spectroscopic camera unit 111' and the thermal imaging camera unit 112', and as an optional embodiment, such circuit unit It may also have a form disposed within the housing.

3 is a view showing an optional embodiment of the comparison control unit of the microorganism monitoring system of FIG. 1 .

Referring to FIG. 3 , the comparison control unit 150 ′ may include a spectral data analysis control unit 151 ′ or a thermal image data analysis control unit 152 ′.

The spectral data analysis control unit 151 ′ may compare and analyze the data on the processing space obtained using the spectral camera unit of the optical monitoring unit with the microorganism measurement data. As an optional embodiment, the spectral data analysis control unit 151 ′ may use hyperspectral data for a processing space obtained by using the hyperspectral camera unit.

The thermal image data analysis control unit 152 ′ may compare and analyze the data on the processing space obtained by using the thermal image camera unit of the optical monitoring unit with the microorganism measurement data.

The microbial measurement data may use, for example, a pre-stored actual microbial information data set.

In addition, as a specific example, after securing in advance a set of measured microbial information data measured in one measurement region and hyperspectral data measured in the one measurement region, a plurality of such sets are obtained to determine the tendency and correlation between each set. can figure out

Through this, after the spectral data analysis control unit 151 ′ acquires the spectral data in the processing space, the microorganism information data corresponding to the spectral data in the processing space may be inferred.

In addition, after securing in advance a set of the actually measured microbial information data measured in one measurement region and the thermal image data measured in the one measurement region in a similar manner, a plurality of such sets are obtained to determine the tendency and correlation between each set. can figure out

Through this, after the thermal image data analysis controller 152 ′ acquires thermal image data in the processing space, microorganism information data corresponding to the thermal image data in the processing space may be inferred.

As an optional embodiment, the analysis information of the spectral data analysis control unit 151' and the analysis information of the thermal image data analysis control unit 152' may be mixed or used simultaneously, for example, one of the main information and the other as sub information. Therefore, it can be used for post-processing such as correction. Further, as another example, each may be combined in the same proportion as equal information.

Figure 4 is a schematic diagram showing a microorganism monitoring system according to another embodiment of the present invention.

Referring to FIG. 4 , the microorganism monitoring system 1000 may include a cultured microorganism data control unit 200 , an actual measurement microorganism data control unit 500 , a comparison control unit 700 , and a microbial distribution information generation control unit 800 .

The cultured microorganism data control unit 200 may generate a set of microbial data and optical data corresponding thereto after culturing the microorganisms a plurality of times in the laboratory before monitoring the microorganisms in the processing space.

5 is a view showing an optional embodiment of the culture microorganism data control unit of FIG.

Referring to FIG. 5 , the cultured microorganism data controller 200 ′ may include a microorganism information controller 210 ′ and an optical data information controller 220 ′.

The microorganism information control unit 210' may use data information measured after culturing microorganisms in a laboratory.

For example, the microorganism information control unit 210' may include a total amount data information control unit 211' or an activation data information control unit 212'.

As an optional embodiment, after culturing the bacteria for each total number of bacteria in the laboratory, for example, CFU information may be used as the total amount data information control unit 211 ′, and ATP information may be used as the activation data information control unit 212 ′.

The optical data information control unit 220 ′ may use data measured after culturing microorganisms in a laboratory.

For example, the optical data information controller 220' may include a spectral data information controller 221' or a thermal image data information controller 222'.

As an optional embodiment, after culturing the bacteria for each total number of bacteria in the laboratory, the spectral data information is used for the cultured bacteria through the spectral data information control unit 221', for example, information measured through a spectroscopic camera, more specifically And as a preferred example, information measured through a hyperspectral camera can be used. In addition, the thermal image data of the cultured bacteria may be used through the thermal image data information controller 222', and information obtained through, for example, a thermal imaging camera may be used.

Through the microorganism information control unit 210' and the optical data information control unit 220', a data set of a set of microorganism information and optical data may be generated for each number of various total cells in the laboratory.

For example, a plurality of pairs of microbial information (CFU information or ATP information) and corresponding optical data information (hyperspectral data information or thermal image data information) at a specific total bacterial count value (eg A) can be generated. can Through this, it is possible to analyze the change characteristics of the optical data information according to the decrease or increase in the total number of bacteria, for example, it is possible to analyze the change trend.

In addition, as an optional embodiment, a pair of microbial information and hyperspectral data information and a pair of microbial information and thermal image data information may be used, and as a specific example, 1) CFU and hyperspectral data, 2) CFU as four correlations and thermal image data, 3) ATP and hyperspectral data, and 4) ATP and thermal image data are available. .

As an optional embodiment, measurement information may be generated after culturing in a laboratory so that the results of the four correlations are obtained more than 1000 times.

The actual microbial data control unit 500 generates a set of microbial data and corresponding optical data for a space other than a laboratory, for example, a processing space applied to one or more environmental factors before actual microbial monitoring for the processing space is performed. can do. As a specific example, the actually measured microorganism data control unit 500 may use information obtained through collection in the field.

6 is a view showing an optional embodiment of the actually measured microorganism data control unit of FIG.

Referring to FIG. 6 , the measured microorganism data control unit 500 ′ may include a microorganism information control unit 510 ′, an optical data information control unit 520 ′, and an environment information control unit 530 .

The microorganism information control unit 510 ′ may use microorganism information data of a processing space outside the laboratory. For example, it is possible to use the analyzed data on the results obtained through the collection process over a plurality of times in a processing space. Specifically, after the collection process is carried out through the collection member including the adhesive material, the total number of bacteria can be grasped by culturing the collection member in a laboratory or the like. In addition, as another example, ATP information can be easily obtained by measuring the ATP device for the region where the extraction process has been performed.

For example, the microorganism information control unit 510' may include a total amount data information control unit 511' or an activation data information control unit 512'.

As an optional embodiment, CFU information can be used through the total amount data information control unit 511 ′ for the results collected after the collection process is performed in the processing space multiple times, as many times as possible in the processing space, and in the collected results ATP information may be used as the activation data information control unit 512 ′.

The optical data information control unit 520 ′ may use data measured in a processing space, specifically, an area in which the sampling is performed when the sampling process is performed.

For example, the optical data information controller 520' may include a spectral data information controller 521' or a thermal image data information controller 222'.

As an optional embodiment, the spectral data information is used through the spectral data information control unit 521' for the processing space, as a specific example, the area where the sampling process has been performed, for example, information measured through a spectroscopic camera, more specific and desirable For example, information measured by a hyperspectral camera may be used. In addition, thermal image data may be used through the thermal image data information controller 522 ′, and information obtained through, for example, a thermal image camera may be used.

The environmental information control unit 530 ′ may use data measured in a processing space, specifically, an area in which sampling is performed when the sampling process is performed.

For example, the environment information control unit 530' may include a temperature data information control unit 531', a humidity data information control unit 532', or a light quantity data information control unit 533'.

As an optional embodiment, the temperature data information may be used through the temperature data information control unit 531 ′ for the processing space, as a specific example, the area in which the sampling process has been performed, and for example, information measured through the temperature measuring member may be used. have. In addition, the humidity data information may be used through the humidity data information controller 532 ′, for example, information obtained through the humidity measuring member may be used. In addition, the light amount data for the sampling region may be measured through the light amount data information control unit 533 ′, and information measured through the light amount measuring member may be used, for example.

Through the microorganism information control unit 510', the optical data information control unit 520', and the environment information control unit 530', a data set of various microorganism information, optical data information, and environmental information measured a plurality of times in the processing space is generated can do.

For example, microbial information (CFU information or ATP information) at a specific total number of bacteria collected in the processing space (eg A), optical data information (hyperspectral data information or thermal image data) in the corresponding sampling area information) and a plurality of sets of environmental information in the harvesting area corresponding thereto can be generated. Through this, it is possible to analyze the change characteristics of the optical data information according to the decrease or increase in the total number of bacteria, and it is possible to grasp the change according to the environmental information.

The comparison control unit 700 may analyze the microorganism information by using the optical monitoring information obtained for the processing space. Specifically, the result of analysis through the cultured microorganism data control unit 200 and the measured microorganism data control unit 500 may be used.

For example, after analyzing the correlation between the optical data and the total number of bacteria through the cultured microorganism data control unit 200 and the measured microorganism data control unit 500, the degree of change according to the environmental information is reflected and the microorganisms in the processing space The analysis process can be performed.

As a specific example, the correlation of optical data information for each total number of bacteria is primarily analyzed using the cultured microorganism data control unit 200 , and various data in the processing space, which is a space other than the laboratory, using the measured microorganism data control unit 500 . The correlation between optical data information and environmental information can be analyzed secondarily for each total number of bacteria under branch conditions.

Then, the optical data in the laboratory and the optical data in the processing space corresponding to the same or almost similar total number of cells in the primary analysis result and the secondary analysis result are compared, and the difference and environmental information are analyzed for various conditions. .

Finally, it is possible to generate information on the influence variable of the environmental information in the processing space with respect to the firstly analyzed causal relationship.

Through this, optical data information is acquired through the optical monitoring unit for microbial information, for example, a processing space where you want to monitor viruses or bacteria, and when temperature, humidity or light quantity information for the processing space is acquired, through the analysis result Through the obtained relationship, the total number of microorganisms corresponding to the optical data information can be preliminarily grasped, and the microorganism information with improved accuracy can be easily grasped by fine-tuning it through the environmental information.

The microbial distribution information generation control unit 800 may generate microbial information indicating whether or not the microorganisms are relatively distributed in the processing space by using the result obtained through the comparison control unit 700 .

For example, information on the presence or absence of microorganisms in the processing space, for example, the presence or absence of microorganisms including viruses or bacteria, may be generated using the results obtained through the comparison control unit 700 .

As an optional embodiment, the comparative microorganism distribution information generation control unit 800 may generate information including the presence or absence of microorganisms for each area of the processing space or the degree of distribution of microorganisms by using the result obtained through the comparison control unit 700 . . In this case, the information may be generated by matching with the environment information for each area of the processing space.

In addition, as a specific example, it is possible to generate a microbial index map that easily expresses the microbial distribution for each area by displaying the degree of microbial distribution by area for the treatment space as an index, and this index map is environmental information such as temperature, humidity or light quantity information. may include

Through this, the microbe monitoring system 1000 performs optical monitoring, for example, a hyperspectral camera or a thermal imaging camera, preferably, optically monitoring the processing space using a hyperspectral camera and a thermal imaging camera at the same time, and then The presence or absence of viruses or bacteria such as microbes, for example, corona virus, and furthermore, the degree of distribution can be easily identified, and as an optional embodiment, an index map for each area is generated to easily know where the virus or bacteria is more distributed. can

In addition, when the microorganism index map information for the treatment space is used, the quarantine treatment process for the treatment space can be easily performed.

7 is a schematic diagram illustrating a microbial treatment system according to an embodiment of the present invention.

Referring to FIG. 7 , the microorganism treatment system 2000 of this embodiment may include a movement control unit 2200 , a movement unit 2300 , and a processing unit 2500 .

The movement control unit 2200 may control the movement direction of the movement unit 2300 by using the location of the treatment area to be treated with microorganisms or information on the area to be moved.

FIG. 8 is a diagram illustrating an alternative embodiment of the movement control unit of FIG. 7 .

Referring to FIG. 8 , the movement control unit 2200 ′ may include a microorganism distribution information control unit 2210 ′ and an index map control unit 2250 ′.

The microbial distribution information control unit 2210' may use microbial distribution information for the processing space, for example, microorganisms in the processing space obtained through the microbial distribution information generation control unit 180 of the above-described embodiment, specifically, viruses or Bacterial distribution information is available.

In addition, the microbial distribution information control unit 2210' may use microbial distribution information for the processing space, for example, microorganisms in the processing space obtained through the microbial distribution information generation control unit 800 of the above-described embodiment, as a specific example. Virus or bacterial distribution information can be used.

The index map controller 2250' may generate an index map for the processing space or use the generated index map.

Here, the index map is an index indicating the distribution of microorganisms, and for example, indexes having sequential sizes up to 0, 1, 2, 3, 4, 5 may be displayed for each area of the processing space. In addition, as an optional embodiment, it is possible to have an index subdivided from 0 to 10, and conversely, an index map including an index having an index subdivided into various sizes such as an index from 0 to 3 may be used.

The moving unit 2300 may be formed to be controlled and moved through the movement control unit 2200 , and may include, for example, wheels or rails, and may include a flight module as another example.

As an optional embodiment, the movement unit 2300 may move through the movement unit 2300 to an area having a high index value that requires processing according to a microbial index map that can easily identify the distribution of microorganisms corresponding to the treatment space through the movement control unit 2200 .

As a specific example, the moving unit 2300 may include an unmanned vehicle (AGV) as an unmanned module. Also, as another example, the moving unit 2300 may include a drone as an unmanned module. In this case, a manipulating operation may not be required, and the movement may be performed under the control of the moving unit 2300 .

As an optional embodiment, the moving unit 2300 may include various types of other manned boarding or manned control modules.

The processing unit 2500 may include a member for treating microorganisms, for example, removing or reducing microorganisms, or lowering the degree of activation.

As an optional embodiment, the treatment unit 2500 may include a spray module, for example, a spray module for spraying a drug or gas for removing microorganisms into the treatment space. At this time, the injection amount and injection time of the gas or drug injected according to the index may be controlled.

As an optional embodiment, the processing unit 2500 may include a light emitting module, for example, a light emitting module such as a diode for irradiating ultraviolet rays. In this case, according to the index, the operation of the light irradiation module may be started or ended, or the irradiation intensity of the light irradiation module may be controlled.

9 is a schematic diagram illustrating a microbial treatment system according to another embodiment of the present invention.

Referring to FIG. 9 , the microorganism treatment system 3000 of this embodiment includes an optical monitoring unit 3100 , a microbial distribution information control unit 3150 , an exponential map control unit 3200 , a moving unit 3300 , and a processing unit 3500 . can

The optical monitoring unit 3100 may include an optical member for checking the presence or absence of microorganisms in the processing space, the distribution of microorganisms, and the like, and may include a spectroscopic camera as described in the above-described embodiments, more preferably in seconds. It may include a spectroscopic camera.

Also, the optical monitoring unit 3100 may include a thermal imaging camera capable of acquiring a thermal image of the processing space.

At this time, the optical monitoring unit 3100 may include both a hyperspectral camera and a thermal imaging camera to be used at the same time, and through this, image data through thermal imaging is added when analyzing a precise spectrum for the processing space. This enables precise optical monitoring.

The microbial distribution information control unit 3150 and the index map control unit 3200 are the same as the microbial distribution information control unit 2210 ′ and the index map control unit 2250 ′ of the above-described embodiment, or within a similar range in light of the above-described embodiments. Since the design can be changed, a detailed description will be omitted.

The moving unit 3300 can be selectively modified and applied within the same or similar range as the above-described moving control unit 2200 , and detailed description thereof will be omitted.

The processing unit 3500 may be selectively modified and applied within the same or similar range as the above-described processing unit 2500 , and a detailed description thereof will be omitted.

10 is a schematic perspective view illustrating an example of an optical monitoring unit according to an embodiment of the present invention.

Referring to FIG. 10 , an example of the optical monitoring unit ESM is shown. The optical monitoring unit ESM may be selectively applied to the above-described embodiments.

The optical monitoring unit ESM may acquire one or more types of optical data for the processing space in the monitoring direction OP.

For example, the optical monitoring unit ESM may include a spectral camera module to acquire spectral data in the processing space, and specifically, a hyperspectral camera module.

In addition, the optical monitoring unit ESM may include a thermal imaging camera module to acquire thermal image data for the processing space.

In an optional embodiment, the optical monitoring unit (ESM) includes a hyperspectral camera module and a thermal imaging camera module disposed in one housing to simultaneously acquire hyperspectral data and thermal image data for the processing space in the monitoring direction OP can do.

11 is a flowchart illustrating an optical monitoring control method according to an embodiment of the present invention.

Referring to FIG. 11 , the microbial monitoring control method of the present embodiment may perform microbial monitoring for the treatment space. For example, it is possible to monitor microorganisms such as viruses and bacteria in public areas that are frequently used by people.

Through this, it is possible to easily determine the degree of distribution of microorganisms including viruses or bacteria in the processing space.

Referring to FIG. 11 , the microbial monitoring control method may include a culture microbial data control step (S200), an actual measurement microbial data control step (S500), a comparison control step (S700), and a microbial distribution information generation control step (S800).

In the culturing microorganism data control step ( S200 ), a set of microbial data and optical data corresponding thereto can be generated after culturing microorganisms in a laboratory a plurality of times before monitoring microorganisms in the processing space.

For example, the culture microorganism data control step (S200) may include a microorganism information control step and an optical data information control step.

In the microbial information control step of the culturing microorganism data control step (S200), data information measured after culturing the microorganism in the laboratory may be used, for example, it may include a total amount data information control step or an activation data information control step.

As an optional embodiment, after culturing bacteria for each total number of cells in the laboratory, for example, CFU information may be used as the total amount data information control step, and ATP information may be used as the activation data information control step.

In the optical data information control step of the culture microorganism data control step (S200), data measured after culturing the microorganisms in the laboratory may be used, for example, the optical data information control step is a spectral data information control step or a thermal image data information control step may include steps.

As an optional embodiment, after culturing the bacteria by the total number of bacteria in the laboratory, the spectral data information is used through the spectral data information control step for the cultured bacteria, for example, information measured through a spectroscopic camera, more specific and preferred example As such, information measured through a hyperspectral camera can be used. In addition, the thermal image data of the cultured bacteria may be used through the thermal image data information control step, and information obtained through, for example, a thermal imaging camera may be used.

Through the microbial information control step and the optical data information control step in the culture microorganism data control step (S200), a data set of a set of microbial information and optical data can be generated for each number of various total bacteria in the laboratory.

For example, a plurality of pairs of microbial information (CFU information or ATP information) and corresponding optical data information (hyperspectral data information or thermal image data information) at a specific total bacterial count value (eg A) can be generated. can Through this, it is possible to analyze the change characteristics of the optical data information according to the decrease or increase in the total number of bacteria, for example, it is possible to analyze the change trend.

In addition, as an optional embodiment, a pair of microbial information and hyperspectral data information and a pair of microbial information and thermal image data information may be used, and as a specific example, 1) CFU and hyperspectral data, 2) CFU as four correlations and thermal image data, 3) ATP and hyperspectral data, and 4) ATP and thermal image data are available. .

As an optional embodiment, measurement information may be generated after culturing in a laboratory so that the results of the four correlations are obtained more than 1000 times.

The actual microbial data control step (S500) includes a set of microbial data and corresponding optical data for a space other than a laboratory, for example, a processing space applied to one or more environmental factors before actual microbial monitoring for the processing space is performed. can create As a specific example, the actually measured microorganism data control step (S500) may use information obtained through collection in the field.

As an optional embodiment, the actual measurement microbial data control step (S500) may include a microbial information control step, an optical data information control step and an environmental information control step.

The microorganism information control step of the actually measured microorganism data control step (S500) may use the microorganism information data of the processing space outside the laboratory. For example, it is possible to use the analyzed data on the results obtained through the collection process over a plurality of times in a processing space. Specifically, after the collection process is carried out through the collection member including the adhesive material, the total number of bacteria can be grasped by culturing the collection member in a laboratory or the like. In addition, as another example, ATP information can be easily obtained by measuring the ATP device for the region where the extraction process has been performed.

The optical data information control step of the actually measured microorganism data control step (S500) may use the data measured in the processing space, specifically, the area where the sampling is performed when the sampling process is performed, for example, the processing space, as a specific example, the Spectral data information may be used through the spectral data information control step for the region in which the sampling process has been performed, and as a more specific and preferred example, information measured by a hyperspectral camera may be used. In addition, thermal image data may be used through the thermal image data information control step, and information obtained through, for example, a thermal image camera may be used.

In the environmental information control step of the actual measurement microorganism data control step (S500), the data measured in the processing space, specifically, the area where the sampling is performed when the sampling process is performed can be used, for example, the environmental information control step is the temperature data information It may include a control step, a humidity data information control step or a light amount data information control step.

As an optional embodiment, the temperature data information may be used through the temperature data information control step for the processing space, for example, the region in which the sampling process has been performed, for example, information measured through the temperature measuring member may be used. In addition, the humidity data information may be used through the humidity data information control step, for example, information obtained through the humidity measuring member may be used. In addition, the light amount data for the sampling region may be measured through the light amount data information control step, and for example, information measured through the light amount measuring member may be used.

Through the microbial information control step, the optical data information control step, and the environmental information control step of the actual measurement microbial data control step (S500), a data set of various microbial information, optical data information and environmental information measured a plurality of times in the processing space is generated can do.

For example, microbial information (CFU information or ATP information) at a specific total number of bacteria collected in the processing space (eg A), optical data information (hyperspectral data information or thermal image data) in the corresponding sampling area information) and a plurality of sets of environmental information in the harvesting area corresponding thereto can be generated. Through this, it is possible to analyze the change characteristics of the optical data information according to the decrease or increase in the total number of bacteria, and it is possible to grasp the change according to the environmental information.

The comparison control step ( S700 ) may analyze microbial information using the optical monitoring information acquired for the processing space. Specifically, it is possible to use the result of the analysis through the culture microorganism data control step (S200) and the measured microorganism data control step (S500).

For example, after first analyzing the correlation between optical data and the total number of bacteria through the culture microorganism data control step (S200) and the measured microorganism data control step (S500), the degree of change according to the environmental information is reflected in the processing space of microbiological analysis can be performed.

As a specific example, the correlation of optical data information for each total number of bacteria is primarily analyzed using the culture microorganism data control step (S200), and the actual measurement microorganism data control step (S500) is used in the processing space, which is a space outside the laboratory. Correlation between optical data information and environmental information can be analyzed secondarily for each total number of bacteria under various conditions.

Then, the optical data in the laboratory and the optical data in the processing space corresponding to the same or almost similar total number of cells in the primary analysis result and the secondary analysis result are compared, and the difference and environmental information are analyzed for various conditions. .

Finally, it is possible to generate information on the influence variable of the environmental information in the processing space with respect to the firstly analyzed causal relationship.

Through this, optical data information is acquired through the optical monitoring unit for microbial information, for example, a processing space where you want to monitor viruses or bacteria, and when temperature, humidity or light quantity information for the processing space is acquired, through the analysis result Through the obtained relationship, the total number of microorganisms corresponding to the optical data information can be preliminarily grasped, and the microorganism information with improved accuracy can be easily grasped by fine-tuning it through the environmental information.

The microbial distribution information generation control step (S800) may generate microbial information indicating whether or not the relative distribution of microorganisms in the treatment space using the result obtained through the comparison control step (S700).

For example, information on the presence or absence of microorganisms in the processing space, for example, the presence or absence of microorganisms including viruses or bacteria, may be generated by using the result obtained through the comparison control step ( S700 ).

As an optional embodiment, the comparative microbial distribution information generation control step (S800) may generate information including the presence or absence of microorganisms or the degree of distribution of microorganisms for each area of the processing space using the result obtained through the comparison control step (S700). can In this case, the information may be generated by matching with the environment information for each area of the processing space.

In addition, as a specific example, it is possible to generate a microbial index map that easily expresses the microbial distribution for each area by displaying the degree of microbial distribution by area for the treatment space as an index, and this index map is environmental information such as temperature, humidity or light quantity information. may include

Through this, the microorganism monitoring control method includes optical monitoring, for example, a hyperspectral camera or a thermal imaging camera, preferably a hyperspectral camera and a thermal imaging camera, after performing optical monitoring of the processing space, microorganisms on the processing space, For example, the presence or absence of viruses or bacteria such as corona virus and furthermore, the degree of distribution can be easily grasped, and as an optional embodiment, an index map for each area is generated to easily know where the virus or bacteria are more distributed. .

In addition, when the microorganism index map information for the treatment space is used, the quarantine treatment process for the treatment space can be easily performed.

12 is a view for explaining a method for controlling cultured microorganism data according to an embodiment of the present invention.

Referring to FIG. 12 , after culturing the bacteria SB for various total number of bacteria on the culture plate PL, hyperspectral data may be acquired using a hyperspectral camera (SOC) as an optical member.

Then, it is possible to obtain precise spectrum analysis information (SF) using such hyperspectral data, and in response to this, obtain CFU information (CFUM), which is a variety of bacteria data for each total number of bacteria, and this spectrum analysis information (SF) and CFU information ( CFUM), the corresponding set information (SBD) can be obtained.

Spectral information (ISP), hyperspectral image information (IMS), and CFU information (ICF) may be stored through the plurality of measurements as an optional embodiment.

13 is a view for explaining a method for controlling actually measured microorganism data according to an embodiment of the present invention.

Referring to FIG. 13 , the sample SFC may be obtained through the collection member with respect to the surface SF of the collection area of the processing space, and ATP information (ATPM) may be obtained through the ATP device measurement of the collection area, and optical Hyperspectral data can be acquired using a hyperspectral camera (SOC) as a member. In addition, it is possible to obtain environmental information (SUT) including temperature, humidity, or light quantity information for the sampling area.

Then, CFU information (CFUM) is obtained through analysis of the sample (SFC), and corresponding set information (SBD) can be obtained along with hyperspectral data, environmental information data, and ATP information.

As an optional embodiment, environmental information (ISM), spectrum information (ISP), hyperspectral image information (IMS), CFU information (ICF) and ATP information (IAF) in the processing region may be stored through the plurality of measurements. .

14 is a diagram for explaining a comparison control method according to an embodiment of the present invention.

14, statistical analysis (SCOP) and big data analysis (BDCN) can be performed using spectrum information (ISP), CFU information (ICF), ATP information (IAF), and hyperspectral image information (IMS), Through this, proof analysis of bacterial contamination and optical data correlation (DRP) and bacterial contamination and optical data classification (CSO) can be performed.

15 is a view for explaining a microorganism treatment system according to an embodiment of the present invention.

Referring to FIG. 15 , monitoring of the processing space area (SF) may be performed, for example, a drone (DR) or a traveling robot (FRB) may be used. You can use the camera together. Specifically, a hyperspectral camera (SOC) or a thermal imaging camera may be mounted on a drone (DR) or a driving robot (FRB).

As described above, the precise analysis process (IND) of bacterial contamination and optical data can be performed, and accordingly, infection index information (MIND) can be generated, and as a specific example, index map information for the processing space can be generated. .

Such infection index information (MIND) can be notified to the user (UAR) and can be used as information for antibacterial service execution (SVM).

16 is a view for explaining a microorganism treatment system according to another embodiment of the present invention.

Referring to FIG. 16 , it is shown that the contamination determination (OD), the quarantine treatment request (BN), and the movement request (MV) of the processing space are performed using the infection index information (MIND).

At this time, the control module (EMS) may be used to control the quarantine treatment request (BN), etc., and as an optional embodiment, the control module (EMS) may include the operation, injection amount and The time can be controlled, and the ultraviolet irradiation module (UVM) can be controlled.

A moving module (RSM) such as a drone or a traveling robot may be used for optical monitoring of the processing space area, and as an optional embodiment, a spray module (DPM) or an ultraviolet irradiation module (UVM) is connected or mounted to the mobile module (RSM) so they can move at the same time.

In addition, when the movement module (RSM) is moved, a recognition sensor (RCO), for example, an optical member such as an RGB camera, is used to detect the presence or approach of the object of interest (OPG) to limit the movement of the movement module (RSM) Alternatively, the operation of the injection module (DPM) or the ultraviolet irradiation module (UVM) may be restricted.

Here, the object of attention (OPG) may be any object requiring attention, for example, a person, an animal, valuables, or other various objects.

As described above in the embodiments included in the present invention, information on microorganisms, for example, information such as bacteria or viruses, can be easily grasped using optical data in the treatment area, and the degree of contamination in the treatment space can be grasped through this. can As a specific example, the case of corona virus and the like can also be easily grasped.

On the other hand, data through optical monitoring in the processing space can use data acquired through a hyperspectral camera, and as another example, data acquired through a thermal imaging camera can be used, and through this, precise acquisition of optical data in the processing space can be achieved. can be done easily

In addition, before optical monitoring in such a processing space, microbes and corresponding optical data, such as spectral analysis and thermal image analysis, are comprehensively performed using bacterial data and corresponding optical data obtained by the total number of bacteria in the laboratory in advance. The set of information used can be obtained.

Additionally, it is possible to analyze the optical data change due to the environmental information in the actual measurement space using the microorganism collection information, corresponding optical data information, and environmental information in the actual measurement space. By grafting the elements together, you can finally get a set of precise optical monitoring counterparts.

As a result, if optical data is obtained through optical monitoring in the processing space, microbial information corresponding thereto can be obtained in a short time or in real time, and microbial distribution information in the processing space can be formed as an exponential map using this.

As an optional embodiment, the quarantine process can be easily performed in the processing space using this index map, and the remote quarantine or automated quarantine process can be easily performed.

As such, the present invention has been described with reference to the embodiments shown in the drawings, which are merely exemplary, and those of ordinary skill in the art will understand that various modifications and equivalent other embodiments are possible therefrom. . Accordingly, the true technical protection scope of the present invention should be defined by the technical spirit of the appended claims.

An embodiment may be represented by functional block configurations and various processing steps. These functional blocks may be implemented in any number of hardware and/or software configurations that perform specific functions. For example, an embodiment may be an integrated circuit configuration, such as memory, processing, logic, look-up table, etc., capable of executing various functions by the control of one or more microprocessors or other control devices. can be hired

Similar to how components of the present invention may be implemented as software programming or software components, embodiments may include various algorithms implemented as data structures, processes, routines, or combinations of other programming constructs, such as C, C++ , Java, assembler, etc. may be implemented in a programming or scripting language. Functional aspects may be implemented in an algorithm running on one or more processors. In addition, embodiments may employ prior art for electronic environment setting, signal processing, and/or data processing, and the like. Terms such as “mechanism”, “element”, “means” and “configuration” may be used broadly and are not limited to mechanical and physical configurations. The term may include the meaning of a series of routines of software in connection with a processor or the like.

The specific implementations described in the embodiments are only embodiments, and do not limit the scope of the embodiments in any way. For brevity of the specification, descriptions of conventional electronic components, control methods, software, and other functional aspects of the methods may be omitted. In addition, the connections or connecting members of the lines between the components shown in the drawings exemplify functional connections and/or physical or circuit connections, and in an actual device, various functional connections, physical connections that are replaceable or additional may be referred to as connections, or circuit connections. In addition, unless there is a specific reference such as "essential", "importantly", etc., it may not be a necessary component for the application of the present invention.

In the specification of the embodiments (especially in the claims), the use of the term “above” and similar referential terms may correspond to both the singular and the plural. In addition, when a range is described in the embodiment, it includes the invention to which individual values belonging to the range are applied (unless there is a description to the contrary), and each individual value constituting the range is described in the detailed description. . Finally, the steps constituting the method according to the embodiment may be performed in an appropriate order unless the order is explicitly stated or there is no description to the contrary. Embodiments are not necessarily limited according to the order of description of the above steps. The use of all examples or exemplary terms (eg, etc.) in the embodiment is merely for describing the embodiment in detail, and unless it is limited by the claims, the scope of the embodiment is limited by the examples or exemplary terminology. it is not In addition, those skilled in the art will recognize that various modifications, combinations, and changes may be made in accordance with design conditions and factors within the scope of the appended claims or their equivalents.

100: microbial monitoring system
110: optical monitoring unit
150: comparison control
180: Microbial distribution information generation control unit

Claims (3)

an optical monitoring unit having an optical unit configured to perform optical monitoring of the processing space;
a comparison control unit that compares and analyzes the optical monitoring data obtained through the optical monitoring unit with the microorganism measurement data; and
and a microbial distribution information generation control unit for generating microbial information indicating whether or not the microorganisms are relatively distributed in the processing space using the result obtained through the comparison control unit,
The optical monitoring unit is formed to secure spectral data for the processing space and thermal image data for the processing space,
The comparison control unit is configured to compare and analyze the pre-stored measured microbial information data with the spectral data and the thermal image data using the pre-stored measured microbial information data,
a microbial information control unit using microbial measurement information obtained by measuring microorganisms in a laboratory or the processing space prior to microbial monitoring for the processing space;
an optical data information control unit using optical data information including spectral data information or thermal image data information corresponding to microbial measurement information measured in the laboratory or the processing space before microbial monitoring for the processing space;
an environment information control unit that uses environmental information of an area in which the measurement is performed when measuring microorganisms corresponding to the microorganism measurement information used by the microorganism information control unit;
Generating a plurality of data sets including the microorganism measurement information, the optical data information and the environment information obtained through the microorganism information control unit, the optical data information control unit and the environment information control unit,
The comparison control unit compares the optical monitoring data obtained through the optical monitoring unit with the plurality of data sets and includes preliminary selection of the microorganism measurement information corresponding to the optical monitoring data. an optical monitoring step comprising an optical unit configured to conduct optical monitoring of the processing space;
a comparison control step of comparing and analyzing the optical monitoring data obtained through the optical monitoring step with the microorganism measurement data; and
and a microbial distribution information generation control step of generating microbial information indicating whether or not the relative distribution of microorganisms in the treatment space using the result obtained through the comparison control step,
The optical monitoring step includes securing spectral data for the processing space and securing thermal image data for the processing space,
The comparison control step comprises the step of comparing and analyzing the pre-stored measured microbial information data with the spectral data and the thermal image data using the pre-stored measured microbial information data,
a microbial information control step using microbial measurement information obtained by measuring microorganisms in a laboratory or the processing space before microbial monitoring for the processing space;
an optical data information control step of using optical data information including spectral data information or thermal image data information corresponding to microbial measurement information measured in the laboratory or the processing space before microbial monitoring for the processing space;
an environmental information control step of using environmental information of an area in which the measurement is performed when measuring microorganisms corresponding to the microorganism measurement information used in the microorganism information control step;
Generating a plurality of data sets including the microorganism measurement information, the optical data information and the environmental information obtained through the microorganism information control step, the optical data information control step and the environmental information control step,
The comparison control step compares the optical monitoring data obtained through the optical monitoring step with the plurality of data sets to preliminarily select the microorganism measurement information corresponding to the optical monitoring data, Microbial monitoring control method . an optical monitoring unit having an optical unit configured to perform optical monitoring of the processing space;
a comparison control unit that compares and analyzes the optical monitoring data obtained through the optical monitoring unit with the microorganism measurement data;
a microbial distribution information generation control unit generating microbial information indicating whether microorganisms are relatively distributed in the processing space by using the result obtained through the comparison control unit; and
and a processing unit formed to perform microbial treatment on the processing space using the information obtained through the microbial distribution information generation control unit,
The optical monitoring unit is formed to secure spectral data for the processing space and thermal image data for the processing space,
The comparison control unit is configured to compare and analyze the pre-stored measured microbial information data with the spectral data and the thermal image data using the pre-stored measured microbial information data,
a microbial information control unit using microbial measurement information obtained by measuring microorganisms in a laboratory or the processing space prior to microbial monitoring for the processing space;
an optical data information control unit using optical data information including spectral data information or thermal image data information corresponding to microbial measurement information measured in the laboratory or the processing space before microbial monitoring for the processing space;
an environment information control unit that uses environmental information of an area in which the measurement is performed when measuring microorganisms corresponding to the microorganism measurement information used by the microorganism information control unit;
Generating a plurality of data sets including the microorganism measurement information, the optical data information and the environment information obtained through the microorganism information control unit, the optical data information control unit and the environment information control unit,
The comparison control unit compares the optical monitoring data obtained through the optical monitoring unit with the plurality of data sets and includes preliminary selection of the microorganism measurement information corresponding to the optical monitoring data.

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