KR20210121861A - Smart control system and method for photobioreactors - Google Patents

Abstract

The present invention relates to a smart control system and method for a photobioreactor. The smart control system and method for a photobioreactor according to one embodiment of the present invention enables a user to harvest a large amount of high quality microalgae by reflecting the changes in sunrise/sunset times, the temperature of a culture medium, pH concentration, and the outside temperature/illuminance, depending on the season.

Description

SMART CONTROL SYSTEM AND METHOD FOR PHOTOBIOREACTORS

The present invention relates to a smart control system and method for a photobioreactor, and more particularly, when culturing microalgae using a photobioreactor, it maintains a culture environment appropriately according to the state and situation of microalgae to produce high-capacity, high-quality biomass. It relates to a smart control system and method for a photobioreactor that can produce biomass and biofertilizer.

Microalgae are also called unicellular algae phytoplankton, which are small in size among algae that generate oxygen through photosynthesis, and play an important role in the ecosystem as a primary producer. Microalgae, which have a very fast growth rate and can be mass-produced, have high potential as biofuels as well as the ability to process pollutants. That is, since microalgae contain a large amount of lipids, they can extract or saccharify oil from microalgae to produce biodiesel or bioethanol, and thus attract attention as a next-generation bioenergy resource. In order to produce high-quality and high-efficiency raw fertilizer using microalgae, it is sealed to prevent contamination, and an environment that can be circulated for 24 hours using appropriate bubbles to prevent mixing and agglomeration of microalgae and supply of carbon dioxide through light and air injection of appropriate illumination is required. necessary. In addition, it is necessary to efficiently manage the increase in pH due to the consumption of oxygen and carbon dioxide generated during culturing of microalgae.

Background art of the present invention is disclosed in Korean Patent Registration No. 10-0439971.

The present invention provides a smart control system and method for a photobioreactor for maintaining and controlling an optimal environment for each rat by monitoring the state of a different culture medium for each rat in real time.

The present invention provides a smart control system and method for a photobioreactor capable of harvesting a large amount of high-quality microalgae that control carbon dioxide gas injection by reflecting sunrise/sunset time, temperature, pH concentration, and external temperature/illuminance according to the season provides

The present invention provides a smart control system and method for a photobioreactor that identifies other heterogeneous microalgae other than microalgae to be cultured by a deep learning algorithm and manages the harvest time.

According to one aspect of the present invention, there is provided a smart control system for a photobioreactor.

A sensing unit for monitoring the state of the culture medium according to an embodiment of the present invention, a sample management unit for retaking a sample sample of the culture medium and managing sample information data, a rat control unit for controlling gas injection for each rat, the different for each rat It may include a control unit for managing the rat control unit according to the state of the culture medium, a display unit for displaying a rat identification ID and a state for each rat, and a storage unit for storing data collected to determine the state of the culture solution.

According to another aspect of the present invention, there is provided a computer-readable recording medium in which a smart control method for a photobioreactor and a computer program executing the same are recorded.

The smart control method for a photobioreactor according to an embodiment of the present invention and the recording medium storing the computer program executing the same according to an embodiment of the present invention measure one or more of the temperature and pH concentration of the culture medium, the steps of determining whether it belongs to a preset temperature range , determining whether the measured time belongs to a predetermined sunrise time and sunset time, determining whether it belongs to a preset pH concentration range, and re-collecting and analyzing a sample from the culture medium.

According to an embodiment of the present invention, a smart control system and method for a photobioreactor can maintain and control optimal conditions for each rat by monitoring the state of a different culture medium for each rat in real time.

According to an embodiment of the present invention, a smart control system and method for a photobioreactor reflects the sunrise/sunset time, the temperature of the culture medium, the pH concentration, and the external temperature/illuminance according to the season to control the injection of carbon dioxide gas. Microalgae can be harvested.

According to an embodiment of the present invention, a smart control system and method for a photobioreactor can determine other heterogeneous microalgae other than the microalgae to be cultured by a deep learning algorithm and manage the harvest time.

1 to 13 are views for explaining a smart control system for a photobioreactor according to an embodiment of the present invention.
14 is a view for explaining a smart control method of a smart control system for a photobioreactor according to an embodiment of the present invention.
15 is a view for explaining a sample management method of a smart control system for a photobioreactor according to an embodiment of the present invention.
16 is an exemplary screen for discriminating heterogeneous microalgae by a smart control system for a photobioreactor according to an embodiment of the present invention.

Since the present invention can have various changes and can have various embodiments, specific embodiments are illustrated in the drawings and will be described in detail through detailed description. However, this is not intended to limit the present invention to specific embodiments, and it should be understood to include all modifications, equivalents and substitutes included in the spirit and scope of the present invention. In describing the present invention, if it is determined that a detailed description of a related known technology may unnecessarily obscure the gist of the present invention, the detailed description thereof will be omitted. Also, as used herein and in the claims, the terms "a" and "a" and "a" are to be construed to mean "one or more" in general, unless stated otherwise.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. do it with

1 to 11 are diagrams for explaining a smart control system for a photobioreactor according to an embodiment of the present invention.

Referring to Figure 1, the sealed upright optical culture apparatus is an efficient form that can culture high-concentration, high-quality microalgae in a large capacity without contamination.

Referring to FIG. 2 , the smart control system 10 for a photobioreactor may control carbon dioxide supply according to time (sunrise/sunset), temperature, and changes in pH values. In addition, the smart control system 10 for a photobioreactor can control the supply of carbon dioxide in real time depending on the season (external environment) and the number of states (cells) of microalgae. The smart control system 10 for a photobioreactor can collect and control data for each rat.

Referring to FIG. 3 , the smart control system 10 for a photobioreactor collects information about the culture solution in a closed upright optical culture device to optimally set the environment of the culture solution. The smart control system 10 for a photobioreactor can cultivate microalgae by connecting a plurality of light culture devices. The smart control system 10 for the photobioreactor controls the environment of the light culture device for each rat. For example, a rat is a connection of a plurality of light culture devices, and the environment of the culture solution for each rat may be different.

The smart control system 10 for a photobioreactor may couple the pH monitoring sensor of the sensor unit 100 to the upper part of the light culture device to check the even circulation state of the culture solution. High-quality microalgae can be cultivated only by efficiently managing the increase in pH due to the consumption of oxygen and carbon dioxide generated during culturing of microalgae. The smart control system 10 for photobioreactor can display and monitor the real-time state of microalgae for efficient management of pH concentration.

The smart control system 10 for a photobioreactor may monitor the temperature change of the culture medium according to the supply of liquid and gas in real time by coupling the temperature monitoring sensor of the sensor unit 100 to the lower part of the culture apparatus. In addition, the smart control system 10 for a photo-bioreactor can easily and immediately collect a sample by coupling the sample collecting device in the closed light culture device to the lower part of the culture device. The smart control system 10 for a photobioreactor may place a temperature monitoring sensor and a culture medium sample collection device under the culture device.

The smart control system 10 for photo bioreactor combines the rat control unit 300 at the lower part of the light culture device. Lat control unit 300 includes a liquid (liquid) and gas supply control device. The rat control unit 300 is capable of wired/wireless communication with the control unit 400 . The rat control unit 300 may control the supply of liquid and gas for each rat.

In the smart control system 10 for a photobioreactor, the controller 400 may control the liquid and gas supply control device through the collected sensor data. For example, the control unit 400 may control the rat control unit 300 to adjust the liquid and gas supply.

The smart control system 10 for a photobioreactor may control the bubble size of the injected liquid and the amount of circulated bubbles by adjusting the pressure of the purified air gas. The smart control system 10 for a photobioreactor can supply carbon dioxide as food for microalgae by injecting carbon dioxide gas and properly maintain the pH in the light culture device. The smart control system 10 for a photobioreactor may check the state of the culture solution by collecting a sample sample in the pH sensor, the temperature sensor, and the light culture device.

The smart control system 10 for a photobioreactor may monitor microalgae by collecting a sample sample of the culture medium. The smart control system 10 for a photobioreactor provides an optimal microalgae culture environment by appropriately injecting air, carbon dioxide and liquid according to the state of the culture medium.

The smart control system 10 for a photobioreactor is capable of wired communication between each sensor and the control device through a serial port and an electrical signal line. Alternatively, the smart control system 10 for a photobioreactor may perform interactive control and data management between each sensor and a control device using the Internet of Things.

Referring to FIG. 4 , the smart control system 10 for a photobioreactor includes a sensing unit 100 , a sample management unit 200 , a rat control unit 300 , a control unit 400 , a display unit 500 , and a storage unit 600 . ) is included.

The sensing unit 100 measures the state of the culture medium. The sensing unit 100 includes a first sensing unit 110 and a second sensing unit 120 . The first sensing unit 110 monitors the pH of the culture medium.

Referring to FIG. 5 , the first sensing unit 110 includes a pH measuring unit 111 , a cover 113 , and a data transmission unit 115 . The pH measuring unit 111 includes a probe for detecting the pH concentration of the culture medium. The pH measuring unit 111 may directly access the culture solution in the culture device to measure the pH concentration. The pH measuring unit 111 is coupled to the blocking cover 115 . The cover 113 is a cover that blocks the upper portion of the light culture device from the outside. The first sensing unit 110 may conveniently detect the pH concentration by coupling the pH measuring unit 111 to the upper cover 111 of the culture apparatus. The pH measuring unit 111 may be configured to be easily detachable from the cover 113 or may be configured as an integrated cover.

The data transmission unit 115 transmits the pH information of the culture medium measured by the pH measurement unit to the control unit 400 . The data transmitter 115 may transmit information to the system controller 400 using wired/wireless communication.

Referring to FIG. 6 , the first sensing unit 110 is positioned and operated at the uppermost end of the culture apparatus to check an even circulation state of the culture medium.

Referring to FIG. 7 , the second sensing unit 120 measures the temperature of the culture medium. The second sensing unit 120 includes a temperature measuring unit 121 , a sample collecting unit 123 , and a data transmitting unit 125 . The second sensing unit 120 may check the temperature of the culture medium in real time, and detect a change in the temperature of the culture medium for 24 hours. The second sensing unit 120 can easily and immediately collect the culture solution sample sample. The second sensing unit is located at the lower portion of the culture apparatus to sense a change in the temperature of the culture medium according to the supply of gas and liquid in real time.

The temperature measuring unit 121 includes a probe for measuring the temperature of the culture medium.

The sample collecting unit 123 includes a tab capable of collecting a small amount of culture solution for use as a sample sample. The sample collection unit 123 may easily collect a sample sample periodically or according to circumstances.

The data transmission unit 125 transmits the temperature information of the culture medium measured by the temperature measurement unit 121 to the control unit 400 . The data transmitter 125 may transmit information to the controller 400 using wired/wireless communication.

Referring back to FIG. 4 , the sample management unit 200 manages the sample collected by the sample collection unit 123 . The sample management unit 200 captures an image of the sample collected for the state analysis of the microalgae. The sample management unit 200 stores the captured image in the storage unit 500 . The sample management unit 200 determines the state of the microalgae using a deep learning algorithm, and determines the harvest time. This process will be described in detail later with reference to FIG. 13 .

The rat control unit 300 manages whether or not gas is injected according to the state of the culture medium.

Referring to FIG. 8 , the rat control unit 300 may monitor the pH concentration and temperature of the culture medium and control whether gas and liquid are injected. The rat control unit 300 may be combined with a gas pipe for injecting air and carbon dioxide and a liquid pipe for injecting a liquid to adjust the injection amount. Each gas pipe of the rat control unit 300 is equipped with a check valve to prevent backflow of the liquid. The ratchet control unit 300 includes a first control unit 310 , a second control unit 320 , a third control unit 330 , and a panel unit 350 .

The rat control unit 300 controls whether or not gas is injected according to the pH concentration of the culture medium. The ratchet adjustment unit 300 includes a first adjustment unit 310 and a second adjustment unit 320 .

The first adjustment unit 310 may control whether air gas is injected. For example, the first control unit 310 may supply an optimum pressure through a regulator (pressure regulator) when injecting air gas. For example, the first control unit 310 may supply the air gas to the light culture apparatus by adjusting the injection pressure to 0.4 mP.

Referring to FIG. 9 , the panel unit 350 may determine whether to inject carbon dioxide by displaying the pH concentration, the culture medium temperature, and the date in real time. The panel unit 350 may directly cut off or supply power in preparation for an emergency, and _{may be adjusted to directly inject or block air gas and carbon dioxide (CO 2} ) gas. Referring to FIG. 10 , the first The first control unit 310 includes a first valve 311 , a second valve 313 , and an electric signal unit 315 .

The first valve 311 is normally open, and can be closed according to a signal from the control unit 400 . For example, the first valve 311 may be a solenoid valve.

The second valve 313 is a manual valve that can be used for emergencies in case of an emergency response or can be used for cleaning the incubator.

The electrical signal unit 315 may receive an electrical signal from the control unit 300 or the control unit 400 to control the first valve 311 .

Referring to FIG. 11 , the second control unit 320 includes a first valve 321 , a second valve 323 , and an electric signal unit 325 .

The second control unit 320 controls whether carbon dioxide gas is injected.

The first valve 321 is in a normally closed state, and can be opened according to a signal from the control unit 400 . For example, the first valve 321 may be a solenoid valve.

The second valve 323 may be a valve for a bypass that can be used in an emergency response.

The electrical signal unit 325 may receive an electrical signal from the control unit 400 to control the first valve 321 .

Since the second adjusting unit 320 is in a closed state, the pressure is low. The second adjusting unit 230 may inject carbon dioxide together with the air gas when the pressure of the first adjusting unit 310 is adjusted. In more detail, the second control unit 320 may inject a mixture of air gas and carbon dioxide gas with the pressure coming out of the first control unit 310 through a venturi effect because the pressure is low. The rat control unit 300 mixes air gas and carbon dioxide gas smoothly and injects it so that it can be evenly distributed to a plurality of culture devices for each rat.

Referring back to FIG. 4 , the control unit 400 controls the control unit 300 using data collected by the sensing unit 100 . The control unit 400 may control the first control unit 310 and the second control unit 320 to supply a mixture of air and carbon dioxide.

The control unit 400 controls the liquid injection and gas injection according to the pH concentration of the culture solution, the temperature of the culture solution, the sunset time and sunrise time according to the season, and the external temperature and illuminance. The controller 400 automatically calculates the sunset time and sunrise time from regional weather data. The control unit 400 automatically receives external temperature and illuminance through an external sensor.

The controller 400 automatically controls the controller 300 using the collected data. The control unit 400 may provide a field control function through a panel unit for each rat installed in the field. In addition, the control unit 400 may provide a remote control and monitoring function using a cloud system.

The display unit 500 displays the rat identification ID, the pH concentration of the culture solution for each rat, the temperature of the culture solution, and the date in real time.

Referring to FIG. 12 , the display unit 500 intuitively displays all information aggregated in the control unit 400 . For example, the display unit 500 may display at least one of a current state of gas injection for each rat, a set pH concentration range, and a set temperature range.

13 is an example of detailed information for each lat shown by clicking the icon on the upper right of FIG. 12 . Detailed information for each rat shows the changes in pH and temperature changes accumulated from 5 hours before the present time. For example, the display unit 500 may display 10 graphs at the same time by displaying up to 10 graphs on one page. The display unit 500 can intuitively check the following 10 lat information by using the page change button (◀▶) at the lower center of FIG. 13 . In addition, the display unit 500 can check the data for one hour before (←) or one hour after (→) by clicking the left and right lower arrow buttons (←→).

The display unit 500 may display data through a panel for each rat installed in the field and a user terminal during remote control.

The storage unit 600 stores the image information of the collected data and the collected sample in order to determine the state of the culture medium.

14 is a view for explaining a smart control method of a smart control system for a photobioreactor according to an embodiment of the present invention. Each process described below is a process performed by each functional unit constituting a smart control system for a photobioreactor, but for the sake of concise and clear explanation of the present invention, the subject of each step is collectively referred to as a smart control system for a photobioreactor.

Referring to FIG. 14 , the smart control system 10 for a photobioreactor determines whether to inject liquid and gas using the pH concentration of the culture medium, the temperature of the culture medium, the sunset time and sunrise time according to the season, and the external temperature and illuminance. .

In step S1401, the smart control system 10 for the photobioreactor automatically calculates from the local weather information as the sunset time and sunrise time according to the season, and receives the temperature and pH concentration measured from the first sensor unit and the second sensor unit receive

In step S1402, the smart control system 10 for the photobioreactor checks whether the temperature falls within the optimum temperature range of the culture medium. The controller 400 may preset an optimal temperature range of the culture medium. For example, in the smart control system 10 for a photobioreactor, the lowest temperature of the culture medium is set to 15°C and the highest temperature is set to 34°C, and the environment of the culture medium is maintained between the lowest temperature and the highest temperature. The appropriate temperature for culturing microalgae may be different depending on the microalgae. The smart control system 10 for a photobioreactor may adjust the reference temperature of the culture medium to provide an optimal culture environment according to the microalgae to be cultured.

In step S1402, the smart control system 10 for the photobioreactor moves to step S1405 when the temperature of the culture medium is within a preset range.

In step S1402, the smart control system 10 for the photobioreactor moves to step S1404 if the temperature is higher than the set maximum temperature (eg, 34° C.). In step S1404, the smart control system 10 for a photobioreactor injects a cooling liquid to lower the temperature of the culture medium, and then measures the state of the culture medium again.

The smart control system 10 for the photobioreactor moves to step S1403 when the temperature is below the set minimum temperature (eg, 15° C.).

In step 1403, the smart control system 10 for a photobioreactor injects a heating liquid for increasing the temperature of the culture medium and then measures the state of the culture medium again.

In step S1405, the smart control system for a photobioreactor 10 moves to step S1406 if the current time is between the sunrise time and the sunset time to check the pH concentration.

In step S1406, the smart control system 10 for the photobioreactor maintains the current environmental state without injecting liquid and gas when the pH concentration falls within a preset range. For example, if the pH is between 5.5 and 8.5, the current environment is maintained without injecting liquids and gases. The standard of the pH concentration of step S1406 may be preset, and the standard of the pH concentration may be changed according to the season and the state of the cell.

In step S1406, the smart control system 10 for a photobioreactor moves to step S1407 when the pH is below the set pH range and stops the injection of _{carbon dioxide (CO 2 ).} For example, if the pH concentration is 5.5 or less, the controller 400 may move to step S1407 to stop the injection of _{carbon dioxide (CO 2 ).} The smart control system 10 for a photobioreactor moves to step S1408 when the pH concentration is above the set range _{and injects carbon dioxide (CO 2} ) to lower the pH concentration. For example, the smart control system 10 for a photobioreactor moves to step S1408 when the concentration is 8.5 or more, and carbon dioxide (CO ₂ ) may be injected. A very important variable in the culture of high-quality microalgae is the supply of carbon dioxide according to time (sunrise/sunset) and changes in temperature and pH values.

15 is a view for explaining a sample management method of a smart control system for a photobioreactor according to an embodiment of the present invention.

Referring to FIG. 15 , in step S1501 , the smart control system 10 for a photobioreactor collects a sample from the sample collecting unit 123 . The smart control system 10 for a photobioreactor may periodically collect a sample, and may optionally take a sample according to circumstances. The sample collecting unit 123 is coupled to the lower portion of the light culture device to easily collect a sample.

In step S1503, the smart control system 10 for a photobioreactor captures a cell image by enlarging the collected sample with an electron microscope. Cell images are used to analyze the state of microalgae. For example, the smart control system 10 for a photobioreactor may take a magnified image of a cell at a fixed ratio of 40 times. The smart control system 10 for the photobioreactor stores the captured image in the storage unit 600 together with the rat identification information.

In step S1505, the smart control system 10 for a photobioreactor analyzes and detects the state of microalgae by inputting the enlarged cell image into the deep learning algorithm. The smart control system 10 for a photobioreactor can detect heterogeneous microalgae through a deep learning algorithm. Microalgae have a uniform shape and size for each species. The smart control system 10 for a photobioreactor learns the size and shape of the reference cultured microalgae through a deep learning algorithm, and can determine the microalgae having a different shape or size as a different species.

The smart control system 10 for a photobioreactor determines that there is a heterogeneous microalgae using a K-Means Algorithm. The K-means algorithm uses k sets (S=S1, S=S1, S2, … SkS = S1, S2, … Sk). If this is expressed as an equation, it is as Equation 1 below.

The smart control system 10 for a photobioreactor can separate groups having different shapes and sizes using a k-means algorithm. The smart control system 10 for a photobioreactor can detect the presence and ratio of heterogeneous microalgae by counting the number of cells for each group calculated by the k-means algorithm. The smart control system 10 for a photobioreactor may count the number of cells in the same group to manage the harvest time. Depending on the type of microalgae, the threshold of the number of cells is different. The smart control system 10 for a photobioreactor can adjust the threshold of the number of cells that can be determined at the harvest time according to the microalgae to be cultured.

In step S1507, the smart control system 10 for the photobioreactor notifies when a heterogeneous microalgae is detected over a certain ratio, and provides information to inspect and close, clean, and re-cultivate the corresponding rat. A simple cell count method of microalgae cannot analyze heterogeneous microalgae.

The smart control system 10 for a photobioreactor can extract predictive information about the time of microalgae math and the quantity and quality of microalgae by combining a deep learning algorithm and the number of cells. The smart control system 10 for a photobioreactor can be utilized for high-quality microalgae culture management by using the extracted state prediction information of microalgae.

The smart control system 10 for a photobioreactor can prevent contamination in advance, and provide data for determining the temperature/carbon dioxide supply/nutrient supply value by analyzing the optimal conditions of the photoculture device in real time. .

16 is an exemplary screen for discriminating heterogeneous microalgae by the smart control system for a photobioreactor according to an embodiment of the present invention.

Referring to FIG. 16 , it has a round shape and is uniform in size as a species of Chlorella Vugaris. However, in Figure 13 (a), chlorella and other species of microalgae are found. The smart control system 10 for a photobioreactor may use a different shape and size for each microalgae to determine the presence of heterogeneous microalgae using a K-means algorithm.

The smart control method for the photobioreactor described above may be implemented as a computer-readable code on a computer-readable medium. The computer-readable recording medium may be, for example, a removable recording medium (CD, DVD, Blu-ray disk, USB storage device, removable hard disk) or a fixed recording medium (ROM, RAM, computer-equipped hard disk). can The computer program recorded in the computer-readable recording medium may be transmitted to another computing device through a network such as the Internet and installed in the other computing device, thereby being used in the other computing device.

In the above, even though it has been described that all components constituting the embodiment of the present invention are combined or operated as one, the present invention is not necessarily limited to this embodiment. That is, within the scope of the object of the present invention, all the components may operate by selectively combining one or more.

Although acts are shown in a specific order in the drawings, it should not be understood that the acts must be performed in the specific order or sequential order shown, or that all shown acts must be performed to obtain a desired result. In certain circumstances, multitasking and parallel processing may be advantageous. Moreover, the separation of the various components in the embodiments described above should not be construed as necessarily requiring such separation, and the program components and systems described may generally be integrated together into a single software product or packaged into multiple software products. It should be understood that there is

So far, the present invention has been looked at focusing on the embodiments thereof. Those of ordinary skill in the art to which the present invention pertains will understand that the present invention can be implemented in a modified form without departing from the essential characteristics of the present invention. Therefore, the disclosed embodiments should be considered in an illustrative rather than a restrictive sense. The scope of the present invention is indicated in the claims rather than the foregoing description, and all differences within the scope equivalent thereto should be construed as being included in the present invention.

10: Smart control system for photobioreactor
100: sensing unit
200: sample management unit
300: rat control unit
400: control unit
500: display
600: storage

Claims (16)

A smart control system for a photobioreactor comprising:
a sensing unit for monitoring the state of the culture medium;
a sample management unit that re-collects a sample of the culture medium and manages sample information data;
a rat control unit for controlling gas injection for each rat;
a control unit for managing the rat control unit according to the state of the culture medium, which is different for each rat;
A display unit that displays the rat identification ID and the status of each rat;
A smart control system for a photobioreactor comprising a storage unit for storing collected data to determine the state of the culture medium.
According to claim 1,
The sensing unit
a first sensing unit for measuring the pH concentration of the culture medium; and
A smart control system for a photobioreactor comprising a second sensing unit for measuring the temperature of the culture medium.
According to claim 1,
The rat control unit
A first control unit for controlling the injection of air gas according to the pH concentration of the culture medium, and
A smart control system for a photobioreactor comprising a second control unit for controlling the injection of carbon dioxide gas according to the pH concentration of the culture medium.
4. The method of claim 3
The first control unit is always open in the default state,
The second control unit is always a closed state is a basic smart control system for a photobioreactor.
According to claim 1,
the control unit
A smart control system for a photobioreactor that regulates liquid injection and gas injection based on one or more of the pH concentration of the culture medium, the temperature of the culture medium, sunset and sunrise times according to seasons, and external temperature and illumination.
According to claim 1,
the control unit
A smart control system for a photobioreactor that presets a reference temperature range and a reference pH concentration range of the culture medium.
According to claim 1,
the control unit
A smart control system for a photobioreactor that adjusts the reference temperature range and reference pH concentration range by reflecting the seasonally varying sunset and sunrise times.
2. The method of claim 1
The sample management unit
A smart control system for a photobioreactor that determines the state of the culture medium and the harvest time of the sample sample through a deep learning algorithm.
9. The method of claim 8,
The deep learning algorithm learns the k (k)-means algorithm to extract a cell cluster of the same shape and size to determine the presence of heterogeneous microalgae,
A smart control system for a photobioreactor that manages the harvest time by counting the number of extracted cells for each cell cluster.
A method for controlling a smart control system for a photobioreactor, comprising:
measuring at least one of a temperature and a pH concentration of the culture medium;
determining whether it belongs to a preset temperature range;
determining whether the measured time belongs to a predetermined sunrise time and sunset time;
determining whether it belongs to a preset pH concentration range; and
A smart control method for a photobioreactor comprising the step of retaking and analyzing a sample from the culture medium.
11. The method of claim 10,
The temperature range, the pH concentration range is a smart control method for a photobioreactor that is set for each rat according to the microalgae to be cultured.
11. The method of claim 10,
The step of determining whether it belongs to the preset temperature range
If the measured temperature is below the minimum temperature, injecting a heating liquid to increase the temperature,
If the measured temperature is above the maximum temperature, a smart control method for a photobioreactor injecting a cooling liquid to lower the temperature.
11. The method of claim 10,
The step of determining whether the measured time belongs to a predetermined sunrise time and sunset time
If the measurement time is before the sunrise time or after the sunset time, the state in which carbon dioxide injection is stopped,
A smart control method for a photobioreactor that changes the sunrise time and sunset time depending on the season.
11. The method of claim 10,
The step of determining whether it belongs to the preset pH concentration range
If the measured pH concentration is below the set range, the state in which carbon dioxide injection is stopped,
A smart control method for a photobioreactor that injects carbon dioxide when the measured pH concentration is above a set range.
11. The method of claim 10,
The step of collecting and analyzing a sample from the culture medium is
enlarging the image of the sample collected;
Determining heterogeneous microalgae using a deep learning algorithm in the constant image;
predicting the harvest time of microalgae in the image; and
A smart control method for a photobioreactor comprising the step of providing the determined and predicted information.
A computer program recorded on a computer-readable recording medium for executing any one of the smart control methods for a photobioreactor of claim 10 to 15.

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