Bioreactor combining anti-fouling coating and solar panel health monitoring and control module

Abstract

A bioreactor is provided that combines an anti-fouling coating with a solar panel health monitoring and control module. The solution comprises a plurality of pipelines 1, a plurality of solar panels 2, a solar panel electricity supply module 3, and a plurality of solar panel health monitoring and control modules 4. This invention uses a two-layer coating of PEG-silane and PDMS to modify the surface of a transparent plastic material, maintaining high translucency and preventing the adhesion of photosynthetic microorganisms, making it suitable for mass production designs and a variety of reactor structures. The system combines solar energy generation and intelligent monitoring and control equipment, and uses deep learning algorithms to monitor and control the health of the solar panels and detect faults. This stably improves the cultivation efficiency and power generation efficiency of photosynthetic microorganisms, supports carbon recovery by photosynthetic microorganisms, and has high recyclability and green energy integration capabilities, making it suitable for applications such as sustainable fuels and net-zero carbon emissions.

Description

[Technical Field]

[0001] This invention relates to a bioreactor that combines an anti-adhesion coating with a solar panel health monitoring and control module, and in particular to a photobioreactor system made from modified materials with anti-adhesion properties. More particularly, the surface of a transparent plastic material is coated with a two-layer coating consisting of a polyethylene glycol silane (PEG-silane) hydrophilic layer and a polydimethylsiloxane (PDMS) hydrophobic layer, which prevents photosynthetic microorganisms from adhering to the inner walls of the pipeline during the breeding process, and at the same time, it is integrated with a solar energy power generation device and an intelligent monitoring and control cleaning device to improve the overall power generation and algae cultivation efficiency. [Background technology]

[0002] Existing photosynthetic microorganism cultivation devices, such as flat-plate and tubular photobioreactors, generally have the problem of photosynthetic microorganisms adhering to the reactor's inner walls, reducing light transmittance and increasing cleaning and maintenance costs. Some studies have shown that even when the inner walls are treated with materials such as silicone, glass, or Teflon (registered trademark), they have poor adhesion properties, poor transparency, and high cost, making them unsuitable for large-scale modular or mobile aquaculture systems. Furthermore, while glass and its alternative materials offer transparency, the high cost and fragility of glass pipelines limit their practical use in such systems.

[0003] Furthermore, existing antimicrobial coatings have not been shown to be effective in inhibiting the adhesion of green algae (Chlorella) or the production of oils, and little research has been done on photosynthetic bacteria. One study demonstrated an anti-adhesion coating made of polymethyl methacrylate (PMMA) in combination with polystyrene block copolymer (PSBM), but there was no evidence that it maintained high performance after more than 10 cycles of cleaning, and there were no biological tests to prove its long-term stability. Furthermore, transparent conductive oxides (TCOs), such as aluminum-doped tin oxide, have been used as coating materials, but they have adversely affected light transmittance, and the anti-biofouling properties of the coating have not been evaluated, making their application risky.

[0004] To date, there has been a lack of surface activation or coating processes for large-diameter polycarbonate (PC), PMMA, polyethylene (PE), or other light-transmitting materials, and the market lacks technology that can be applied uniformly along curved surfaces, making related materials unsuitable for large-scale modular or portable photobioreactors. Technology that can solve these issues is highly sought after.

[0005] In addition, existing solar panel cleaning technologies include guide rails, mechanical brushes, jet fans, ultrasonic waves, and transparent conductive mesh, but these devices generally have complex structures, are expensive, and are difficult to integrate into photobioreactor systems. Furthermore, they lack the design of coating the glass with a PEG-silane antifouling film. Therefore, existing cleaning technologies lack the integration of materials and systems, making them impractical.

[0006] In order to solve the above-mentioned drawbacks, the inventor has conducted careful research and utilized scientific principles to propose the present invention, which can effectively solve the above-mentioned drawbacks and has a rational design. DISCLOSURE OF THE INVENTION [Problem to be solved by the invention]

[0007] The main purpose of this invention is to solve the above-mentioned technical problems of the past by providing a modified material with anti-adhesion properties, in particular by applying a hydrophilic / hydrophobic double-layer coating to the surface of a transparent plastic pipeline to prevent photosynthetic microorganisms from adhering to the inner wall of the pipeline during the propagation process. The invention also provides a bioreactor that combines an anti-adhesion coating with a solar panel health monitoring and control module, which improves the overall power generation efficiency and algae cultivation efficiency by combining a solar energy power generation system and an intelligent monitoring and control cleaning device with the system.

[0008] Another object of the present invention is to provide a surface-modified bioreactor that can stably maintain a bacterial cell concentration of 3.5-5.0 g / L and an oil content of 30% or more after 10 consecutive batches of cultivation replacement, achieving excellent, highly efficient cultivation ability and anti-fouling properties. The present invention also provides a bioreactor that combines an anti-fouling coating with a solar panel health monitoring and control module, which integrates a solar panel health monitoring and control algorithm to instantly detect changes in power generation efficiency and notify the user to clean the solar panel when power generation efficiency decreases, effectively reducing labor and maintenance costs and thereby improving power generation efficiency by 5-15%.

[0009] Another object of the present invention is to provide a bioreactor that combines an anti-fouling coating with a solar panel health monitoring and control module, which has the advantages of simple structure, mass-producible materials, high recyclability, and good energy integration capability, and is applicable to the fields of photosynthetic microorganisms such as microalgae and photosynthetic bacteria, high-density aquaculture, and green industrial fields such as net-zero carbon emissions, sustainable aviation fuel, and environmental engineering. [Means for solving the problem]

[0010] To achieve the above-mentioned objectives, the present invention provides a bioreactor that combines an anti-fouling coating with a solar panel health monitoring and control module, the bioreactor being made of a transparent plastic material, with a two-layer coating formed on the surface of the inner wall to accommodate photosynthetic microorganisms, the two-layer coating including a hydrophilic layer installed on the inner wall of the pipeline and a hydrophobic layer installed on the hydrophilic layer to prevent the photosynthetic microorganisms from adhering to the inner wall of the pipeline during the propagation process, the hydrophilic layer being made of polyethylene glycol silane (PEG-silane) and the hydrophobic layer being made of polydimethylsiloxane (PDMS); and a plurality of pipelines; and a plurality of solar panels that capture solar energy and convert it into electricity. a solar panel electricity supply module connected to the plurality of pipelines and the plurality of solar panels, which allocates and processes electricity converted by the solar panels and outputs it to the plurality of pipelines; and a plurality of solar panel health monitoring and control modules each connected to a corresponding one of the plurality of solar panels, which have a solar panel health monitoring and controller, the health monitoring and controller being installed on the corresponding solar panel, and which real-timely monitors and measures data on the voltage, current and temperature of the solar panel and transmits the monitored and measured data to the corresponding solar panel health monitoring and control module, which uses a solar panel health monitoring and control algorithm to implement an intelligent solar panel fault diagnosis mechanism, thereby identifying abnormalities in power generation efficiency or potential faults, and sending a message to clean the solar panel when a decrease in power generation efficiency is detected, thereby improving the power generation efficiency of solar energy.

[0011] According to an embodiment of the present invention, the photosynthetic microorganisms include green algae (Chlorella vulgaris), chytrid fungi, red algae, brown algae, photosynthetic bacteria, and hydrogen bacteria.

[0012] According to an embodiment of the present invention, the pipeline is made of a transparent plastic material such as polycarbonate (PC), polymethyl methacrylate (PMMA), or polyethylene terephthalate (PET).

[0013] According to an embodiment of the present invention, the hydrophilic layer is instead formed by polyethylene glycol dimethacrylate (PEGMA) or hydroxyethyl methacrylate (HEMA).

[0014] According to an embodiment of the present invention, the hydrophobic layer is instead formed by fluoroalkylsilane (FAS).

[0015] According to an embodiment of the present invention, an aeration unit and a lighting unit are further installed in each pipeline, which are powered by the solar panels and are stable in power supply.

[0016] According to an embodiment of the present invention, the solar panel intelligent fault diagnosis mechanism is based on a deep learning solar panel health monitoring and control algorithm, and uses PyTorch to build a convolutional neural network (CNN) prediction model to identify faults.

[0017] According to an embodiment of the present invention, the bioreactor that combines the anti-fouling coating with the solar panel health monitoring and control module can improve the solar energy generation efficiency by 5-15%.

[0018] The features and technical contents of the present invention will be described in detail below with reference to the drawings. However, these drawings are for reference and explanation purposes only and the present invention is not limited thereby. BEST MODE FOR CARRYING OUT THE INVENTION

[0019] 1 is a conceptual structural diagram of a bioreactor incorporating an anti-fouling coating and a solar panel health monitoring and control module according to the present invention. As shown in the figure, the bioreactor incorporating an anti-fouling coating and a solar panel health monitoring and control module according to the present invention is composed of a plurality of pipelines 1, a plurality of solar panels 2, a solar panel power supply module 3, and a plurality of solar panel health monitoring and control modules 4.

[0020] Each of the pipelines 1 is made of a transparent plastic material, and has two layers of coating formed on the surface of its inner wall to accommodate photosynthetic microorganisms. The two layers of coating include a hydrophilic layer 11 installed on the inner wall of the pipeline 1 and a hydrophobic layer 12 installed on the hydrophilic layer 11, which can prevent the photosynthetic microorganisms from adhering to the inner wall of the pipeline 1 during the breeding process. Meanwhile, an aeration unit and a lighting unit (not shown in the figure) are further installed inside each of the pipelines 1, and are stably powered and driven by each of the solar panels 2.

[0021] The solar panels 2 capture solar energy and convert it into electricity.

[0022] The solar panel electricity supply module 3 is connected to the multiple pipelines 1 and the multiple solar panels 2, and performs an allocation process on the electricity converted by each solar panel 2, outputting it to the multiple pipelines 1 to the aeration unit and lighting unit.

[0023] The plurality of solar panel health monitoring and control modules 4 are respectively connected to the plurality of solar panels 2, and the health monitoring controller 41 is installed on the corresponding solar panel 2 to real-timely monitor and measure the voltage, current, and temperature data of the solar panel 2 and transmit the monitored data to the corresponding solar panel health monitoring and control module 4, which then uses a solar panel health monitoring and control algorithm to implement an intelligent solar panel fault diagnosis mechanism, thereby identifying abnormalities in power generation efficiency and potential faults, and sending a message to clean the solar panel when a decrease in power generation efficiency is detected, thereby improving the solar energy power generation efficiency. As described above, the above device constitutes a biological reactor that combines a novel anti-adhesion coating and a solar panel health monitoring and control module.

[0024] According to a more preferred embodiment of the present invention, the photosynthetic microorganisms include green algae (Chlorella vulgaris), chytrid fungi, red algae, brown algae, photosynthetic bacteria, and hydrogen bacteria.

[0025] According to a more specific embodiment of the present invention, the pipeline 1 is made of a transparent plastic material such as polycarbonate (PC), polymethyl methacrylate (PMMA), or polyethylene terephthalate (PET).

[0026] According to a more preferred embodiment of the present invention, the hydrophilic layer 11 is made of polyethylene glycol silane (PEG-silane), polyethylene glycol dimethacrylate (PEGMA), or hydroxyethyl methacrylate (HEMA).

[0027] According to a more preferred embodiment of the present invention, the hydrophobic layer 12 is made of polydimethylsiloxane (PDMS) or fluoroalkylsilane (FAS).

[0028] The following examples are provided to illustrate the details and contents of the present invention by way of example, and the scope of the claims of the present invention is not limited thereby.

[0029] [Implementation Method 1] Develop modified materials with adhesive properties First, the pipeline surface was cleaned. To prepare the hydrophilic layer, a 2 wt% mPEG-silane solution was prepared, and anhydrous ethanol was added. The pH of the solution was adjusted to 4.5-5 with 1% acetic acid. The pipeline was then immersed in the solution for 60 minutes and then dried. Next, to prepare the hydrophobic layer, SYLGARD 184 base was mixed with a curing agent and diluted with isopropyl alcohol (IPA) to a concentration of 15% to form a diluted PDMS solution. The PDMS solution was then uniformly applied to the PEG-coated pipeline surface, left to stand at room temperature for 4 hours, and then dried.

[0030] [Implementation Method 2] Microalgae Cultivation Test Green algae were cultivated in the above-described modified pipeline. The volume of the culture solution was approximately 3000 mL. After 10 consecutive batches, the results, as shown in Table 1, showed that the measured algae concentration was 3.5-5.0 g / L and the oil content exceeded 30% (dry weight). No significant biofilm formation or surface adhesion was observed during the cultivation process, the translucency was stably maintained, and the pipeline was very easy to clean. Further quality analysis of the obtained algae oil revealed a density of 0.9241 g / mL, an acid value of 0.56 mg KOH / g, a sulfur content of 8.3 ppm, a sodium content of 1.35 ppm, and a total metal content of 8.2 ppm, indicating its potential application as a sustainable aviation fuel feedstock. [Table 1]

[0031] [Implementation Method 3] Cultivation test of photosynthetic bacteria (e.g., Rhodopseudomonas) A Rhodopseudomonas cultivation test was conducted using the above modified pipeline. After 10 consecutive batches, the results are shown in Table 2. The measured concentration of photosynthetic bacteria was 4.8-5.7 g / L. No obvious biofilm formation or surface adhesion was observed during the cultivation period, and the light transmittance was stably maintained.

[0032] [Table 2]

[0033] [Implementation Method 4] Establishment of solar panel health monitoring control algorithm This invention develops an intelligent fault diagnosis mechanism for solar panels based on deep learning, and uses PyTorch to build a convolutional neural network (CNN) prediction model to achieve accurate and reliable fault identification. This intelligent fault diagnosis mechanism for solar panels can improve the solar energy generation efficiency by 5-15%, ensure stable power supply for solar panels, promote carbon recovery by photosynthetic microorganisms, and provide reliable and intelligent monitoring and control for carbon reduction.

[0034] As can be seen from the above, the technical features of the present invention are as follows: 1. The plastic material requiring modification is PC, PMMA, PE, or other translucent materials, and the surface modification is achieved by chemically bonding PEG-silane to any of the above materials, rather than by physical coating. 2. The modified pipeline can be used more than 10 times without the need for a second coating process, and the cell concentration and final product quality can be maintained stable even after 10 consecutive batch replacement operations. 3. When the cultivation concentration of green algae (such as Chlorella vulgaris) reaches 3.0 g / L or more and the oil content exceeds 35%, the oil produced can be characterized and its quality can be used as sustainable aviation fuel and other biomass materials. 4. The cultivation concentration of photosynthetic bacteria can reach above 3.0 g / L, and then it can be applied to aquaculture and fruit and vegetable plantations. 5. After the pipeline is modified, the light transparency is not affected, making it suitable for mass production design of photobioreactors. It can also be widely used in outdoor large-scale photobioreactors, vertical pipelines, flat-plate modules, and other structures. 6. An intelligent fault diagnosis mechanism for solar panels based on deep learning has been developed to achieve accurate and reliable fault detection, ensuring stable power supply from solar panels to power the aeration unit and lighting unit, enabling 24-hour carbon recovery through the photosynthetic activity of microalgae, and providing reliable and intelligent monitoring and control for carbon reduction systems.

[0035] As described above, this invention relates to a photobioreactor system with anti-adhesion properties, particularly to a system that modifies the surface of a transparent plastic pipeline using a two-layer coating. The coating includes a PEG-silane hydrophilic layer and a PDMS hydrophobic layer, preventing photosynthetic microorganisms from adhering to the inner wall of the pipeline during the propagation process. The system combines a solar energy power generation device (i.e., solar panels and solar panel power supply modules) with an intelligent monitoring and control cleaning device (i.e., solar panel health monitoring and control module), improving overall power generation efficiency and algae cultivation efficacy.

[0036] After 10 continuous batches of cultivation, the surface-modified bioreactor can stably maintain a bacterial cell concentration of 3.5-5.0 g / L and an oil content of over 30%, achieving excellent high-efficiency cultivation capacity and anti-fouling properties. Furthermore, this invention integrates a solar panel health monitoring and control algorithm to instantly detect changes in power generation efficiency and prompt the user to clean the solar panels when power generation efficiency declines, effectively reducing labor and maintenance costs and further improving power generation efficiency by 5-15%.

[0037] The present invention has the advantages of simple structure, mass-producible materials, high reusability, and good energy integration capability, and can be applied to the fields of photosynthetic microorganisms such as microalgae and photosynthetic bacteria, and high-density aquaculture, as well as green industrial fields such as net-zero carbon emissions, sustainable aviation fuel, and environmental engineering.

[0038] As described above, the bioreactor incorporating the anti-fouling coating and solar panel health monitoring and control module of the present invention effectively overcomes the drawbacks of conventional methods. The two-layer coating of PEG-silane and PDMS modifies the surface of the transparent plastic material, maintaining high light transmittance and inhibiting the adhesion of photosynthetic microorganisms, making it suitable for mass production and various reactor structures. The system incorporates a solar energy generator and intelligent monitoring and control system, and uses deep learning algorithms to monitor and control the solar panel health and detect faults. This stably improves the photosynthetic microorganism cultivation efficiency and power generation efficiency, supports carbon recovery by photosynthetic microorganisms, and has high recyclability and green energy integration capabilities, making it suitable for applications such as sustainable fuels and net-zero carbon emissions. Because this invention is more advanced and practical, a utility model patent application has been filed in accordance with the law.

[0039] The above is merely a better embodiment of the present invention, and the present invention is not limited thereby. All equivalent changes and modifications made based on the scope of the invention registration claims and the contents of the specification of the present invention are included in the scope of the invention registration claims of the present invention. [Brief explanation of the drawings]

[0040] [Figure 1] 1 is a schematic diagram of the structure of a bioreactor incorporating an anti-fouling coating and a solar panel health monitoring and control module according to the present invention. [Explanation of symbols]

[0041] 1. Pipeline 11 Hydrophilic layer 12 Hydrophobic layer 2. Solar panels 3. Solar panel electricity supply module 4. Solar panel health monitoring and control module 41 Solar panel health monitoring controller

Claims

1. a plurality of pipelines made of a transparent plastic material, with a two-layer coating formed on the surface of the inner wall to accommodate photosynthetic microorganisms, the two-layer coating including a hydrophilic layer disposed on the inner wall of the pipeline and a hydrophobic layer disposed on the hydrophilic layer to prevent the photosynthetic microorganisms from adhering to the inner wall of the pipeline during the propagation process, the hydrophilic layer being polyethylene glycol silane (PEG-silane) and the hydrophobic layer being polydimethylsiloxane (PDMS); Multiple solar panels that capture solar energy and convert it into electricity; a solar panel electricity supply module connected to the plurality of pipelines and the plurality of solar panels, which allocates and outputs electricity converted by the solar panels to the plurality of pipelines; a plurality of solar panel health monitoring and control modules, each connected to a corresponding one of the plurality of solar panels, each having a health monitoring controller, the health monitoring controller being installed on the corresponding solar panel, and instantly monitoring and measuring data on the voltage, current and temperature of the solar panel, and transmitting the monitored and measured data to the corresponding solar panel health monitoring and control module, which then uses a solar panel health monitoring and control algorithm to implement an intelligent solar panel fault diagnosis mechanism, thereby identifying abnormalities in power generation efficiency or potential faults, and sending a message to clean the solar panel when detecting a decrease in power generation efficiency, thereby improving the power generation efficiency of solar energy; A bioreactor incorporating an anti-fouling coating and a solar panel health monitoring and control module.

2. The bioreactor combining an anti-adhesion coating and a solar panel health monitoring and control module as described in claim 1, characterized in that the photosynthetic microorganisms include green algae (Chlorella vulgaris), chytrid fungi, red algae, brown algae, photosynthetic bacteria, and hydrogen bacteria.

3. The bioreactor combining an anti-adhesion coating and a solar panel health monitoring and control module as described in claim 1, characterized in that the pipeline is made of a transparent plastic material such as polycarbonate (PC), polymethyl methacrylate (PMMA), or polyethylene terephthalate (PET).

4. 2. The bioreactor combining an anti-fouling coating and a solar panel health monitoring and control module according to claim 1, characterized in that the hydrophilic layer is instead formed by polyethylene glycol dimethacrylate (PEGMA) or hydroxyethyl methacrylate (HEMA).

5. 2. The bioreactor combining an anti-adhesion coating and a solar panel health monitoring and control module as described in claim 1, characterized in that the hydrophobic layer is instead formed by fluoroalkylsilane (FAS).

6. The biological reactor combining an anti-fouling coating and a solar panel health monitoring and control module as described in claim 1, characterized in that each of the pipelines further comprises an aeration unit and a lighting unit that are stably powered and driven by the solar panel.

7. The biological reactor combining an anti-fouling coating and a solar panel health monitoring and control module as described in claim 1, characterized in that the solar panel intelligent fault diagnosis mechanism uses a convolutional neural network (CNN) prediction model in PyTorch to perform fault identification based on a deep learning solar panel health monitoring and control algorithm.

8. The bioreactor combining the anti-fouling coating and the solar panel health monitoring and control module as described in claim 1, characterized in that the solar energy power generation efficiency is improved by 5 to 15% by the bioreactor combining the anti-fouling coating and the solar panel health monitoring and control module as described in claim 1.

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