Algal membrane reactor, decontamination optimization method, online monitoring method and related devices

Abstract

The present application relates to wastewater treatment technical field, the present application discloses algae membrane reactor, decontamination optimization method, online monitoring method and related equipment, MAR reactor includes aeration system, illumination system, microalgae culture system, membrane separation system, water production tank, algae production tank, water pump and intelligent control system composition, sewage is entered microalgae culture box by gravity flow, and by adding pump adds pure microalgae stock solution, air blower aeration oxygenation and stirring algae water mixture, after amplification, algae water mixture enters membrane pool, and backwash pump suction water, and effluent is reused or returns front end advanced treatment unit, and the concentrated solution of algae enters algae tank and is stored after centrifugal concentration and is transported as feed outside; the microalgae algae species of efficient removal of characteristic pollutants in water is cultivated to the production wastewater of different water quality characteristics, and the construction of self-control integrated algae membrane reactor and the building of cloud management platform realize omnibearing auxiliary food industry wastewater treatment intelligent operation.

Description

Technical Field

[0001] This invention relates to the field of wastewater treatment technology, and more specifically, to algae membrane reactors, decontamination optimization methods, online monitoring methods, and related equipment. Background Technology

[0002] Against the backdrop of environmental protection and sustainable development, wastewater treatment technology is undergoing unprecedented innovation. Traditional wastewater treatment monitoring has problems, necessitating technological innovation to improve treatment efficiency and reduce costs. Algal membrane reactors, combining physical filtration, adsorption, and biodegradation, can effectively remove pollutants from water sources, especially nutrients such as nitrogen and phosphorus; microalgae photosynthesis produces oxygen, reducing system aeration intensity and saving energy. Furthermore, the attached growth system requires less energy input to recover biomass.

[0003] Algal membrane reactors, as a cutting-edge water and wastewater treatment technology, have attracted widespread attention due to their unique advantages. However, existing algal membrane reactors still have the following drawbacks: the algal species are currently fixed, and the selection of algal species is done manually. However, in practical applications, the pollutants in wastewater are uncertain. When faced with complex or diverse pollutants, overfitting is likely to occur, meaning that the model performs well on training data but has poor generalization ability on new data, which leads to a decrease in the accuracy of wastewater treatment.

[0004] In view of this, the present invention provides an algal membrane reactor, a decontamination optimization method, an online monitoring method, and related equipment. Summary of the Invention

[0005] To overcome the problems in the existing technology, this invention proposes an algal membrane reactor, a decontamination optimization method, an online monitoring method, and related equipment to achieve efficient wastewater treatment and resource utilization, while reducing operating costs and improving environmental benefits.

[0006] In a first aspect, the present invention provides an algal membrane reactor, comprising an aeration system, a lighting system, a microalgae cultivation system, a membrane separation system, a product water tank, an algae production tank, a water pump, and an intelligent control system; wherein:

[0007] The aeration system supplies oxygen to the microalgae cultivation system and stirs the algae-water mixture using a blower.

[0008] The lighting system provides a light source for the growth of microalgae and helps remove organic matter and nutrients from wastewater.

[0009] The microalgae cultivation system provides a suitable environment for growth and reproduction by adding pure microalgae stock solution;

[0010] Membrane separation system separates microalgae from treated water to achieve algae-water separation;

[0011] The product water tank collects the clean water treated by the membrane separation system for reuse or discharge, or returns it to the front end of the treatment process for further treatment;

[0012] Algae production box, used to collect concentrated microalgae;

[0013] Water pumps are used to transport wastewater and microalgae solutions within the system;

[0014] The intelligent control system monitors and automatically adjusts the reactor's operating parameters and organic water quality indicators.

[0015] As a preferred embodiment of the first aspect of the present invention, the workflow of the intelligent control system is as follows:

[0016] Step S1: Wastewater flows into the microalgae cultivation system (photobioreactor) by gravity.

[0017] Step S2: Add pure microalgae stock solution using a dosing pump;

[0018] Step S3: Use a blower to aerate and agitate the algae-water mixture to support the growth of microalgae;

[0019] Step S4: Algae-water mixture amplification; the amplified algae-water mixture enters the membrane tank.

[0020] Step S5: Utilizing the high efficiency separation performance of ultrafiltration membranes and combining the microalgae growth cycle, design the parameters of the MAR algae membrane continuous flow reactor and construct an algae membrane synergistic decontamination high efficiency reactor.

[0021] Step S6: The backwash pump draws out the effluent, which can be reused or returned to the front-end deep treatment unit.

[0022] Step S7: Algae Concentration and Storage. The concentrated algae solution enters the algae tank, is centrifuged and concentrated, and stored for external use as feed.

[0023] Secondly, the present invention provides a decontamination optimization method for algal membrane reactors, based on the implementation of the first aspect, comprising the following steps:

[0024] Step A1: Obtain the water quality characteristics of the wastewater to be treated and determine the main pollutants that need to be removed from the wastewater;

[0025] Step A2: Screen algae species from existing algae species to remove the main pollutants;

[0026] Step A3: Algal strain adaptation training. Adaptation training is conducted on the selected algal strains to obtain their growth and pollutant removal capabilities in specific wastewater environments.

[0027] Step A4: Under laboratory conditions, conduct small-scale experiments on algae strains to optimize key parameters for wastewater treatment. Key parameters include total phosphorus removal rate, total nitrogen removal rate, high salt ion removal rate, and biomass accumulation.

[0028] Step A5: Repeat steps A1-A4 until a suitable algal species for treating the current wastewater is obtained, and design an algal membrane reactor based on the algal species.

[0029] Step A6: Optimize algal growth conditions by controlling reaction system parameters: these parameters include hydraulic retention time, aeration rate, reaction system temperature, and light intensity.

[0030] Step A7: Based on adjusting the hydraulic retention time and aeration rate, obtain the key parameters of the algae species in treating wastewater under the current wastewater environment; evaluate whether the algae are efficient in treating the wastewater based on the key parameters;

[0031] Step A8: Assess whether the algal strain is suitable for treating the wastewater; if not, return to step A6 for algal strain screening; if yes, record the experimental parameters and the preserved algal strain.

[0032] As a preferred technical solution of the second aspect of the present invention, the laboratory conditions include adjusting the laboratory environment by changing the variable parameters based on hydraulic residence time, aeration rate, reaction system temperature and light intensity.

[0033] Thirdly, the present invention provides an online monitoring method for effluent water quality based on an algal membrane reactor, which, based on the implementation of the second aspect, includes the following steps:

[0034] Step B1: Start the reactor and begin operating the algal membrane reactor;

[0035] Step B2: Based on the results of the laboratory pilot experiment, preset the operating parameters of the reactor;

[0036] Step B3: Based on the treatment objectives and discharge standards, set the allowable range of effluent water quality indicators;

[0037] Step B4: Use a water quality monitoring probe to monitor the water quality indicators of the reactor effluent in real time;

[0038] Step B5: Determine water quality indicators by comparing the monitored water quality indicators with the preset allowable range; if the water quality indicators are not within the preset allowable range, the reactor's operating parameters will be automatically adjusted via the transmission controller.

[0039] Step B6: If the water quality indicators meet the preset range, keep the current operating parameters unchanged and continue to monitor the water quality; this emphasizes the importance of automated monitoring and adjustment in the operation of the algae membrane reactor, ensuring the continuity of the treatment process and the stability of the water quality.

[0040] As a preferred technical solution of the third aspect of the present invention, a smart operation system is constructed based on the response mechanism of key parameters of water quality and algae growth.

[0041] Based on the characteristics of the wastewater, microalgae species were identified, and the nutrient ratio for algal growth was determined in a small-scale test.

[0042] Based on the overall optimization parameters of the effluent water quality, the experimental parameters were recorded, and the algal species that efficiently treat wastewater were preserved.

[0043] As a preferred technical solution of the third aspect of the present invention, microalgae species for removing characteristic pollutants in production wastewater with different water quality characteristics are selectively cultivated and operated through an automated integrated algal membrane reactor.

[0044] As a preferred technical solution of the third aspect of the present invention, the equipment effluent water quality online monitoring and automatic parameter adjustment technology is combined with coagulation sedimentation and filtration treatment technology, and water quality indicators related to algae density, nitrogen, phosphorus and organic matter are coupled with wastewater process indicators of water volume and transmembrane pressure difference to construct an intelligent operation platform.

[0045] As a preferred technical solution of the third aspect of the present invention, water quality indicators and wastewater process indicators are monitored in real time based on sensors;

[0046] Based on the indicator data transmitted from the sensors, preliminary processing and storage are performed, and the data is then transmitted to the monitoring center via the communication module.

[0047] Based on real-time monitoring of water quality parameters by the monitoring center, the system sets alarm thresholds. When water quality parameters exceed the thresholds, the monitoring data is analyzed and processed to generate various reports and charts, providing decision-making basis for managers.

[0048] Managers can view water quality data anytime, anywhere via the internet.

[0049] Fourthly, the present invention provides a computer program product stored on a computer-readable medium, comprising a computer-readable program that, when executed on an electronic device, provides a user input interface to implement the third aspect.

[0050] The technical effects and advantages of the algae membrane reactor, decontamination optimization method, online monitoring method, and related equipment of this invention are as follows:

[0051] This invention cultivates microalgae species that can efficiently remove characteristic pollutants from production wastewater with different water quality characteristics. Through the construction of a self-controlled integrated algal membrane reactor and the establishment of a cloud management platform, it achieves intelligent operation that comprehensively assists in the treatment of wastewater in the food industry. Attached Figure Description

[0052] Figure 1 A schematic diagram of an algal membrane reactor structure provided by the present invention;

[0053] Figure 2 This is a flowchart of an optimized decontamination method for an algal membrane reactor according to the present invention;

[0054] Figure 3 This is a flowchart of the online monitoring procedure for effluent water quality of the present invention;

[0055] Figure 4 This is a schematic diagram of the water quality sensor data interface of the present invention;

[0056] Figure 5 This is a schematic diagram illustrating the water purification effect of microalgae in this invention. Figure 1 ;

[0057] Figure 6 This is a schematic diagram illustrating the water purification effect of microalgae in this invention. Figure 2 ;

[0058] Figure 7 This is a schematic diagram of the algae health zone of the present invention. Detailed Implementation

[0059] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0060] Example 1

[0061] Please see Figure 1 As shown, the algal membrane reactor described in this embodiment includes an aeration system, a light system, a microalgae cultivation system, a membrane separation system, a water production tank, an algae production tank, a water pump, and an intelligent control system.

[0062] The aeration system provides oxygen to the microalgae cultivation system through a blower to support the photosynthesis and growth of the microalgae, while simultaneously stirring the algae-water mixture to ensure full contact between the microalgae and the wastewater, thereby improving treatment efficiency.

[0063] The lighting system provides the light source needed for microalgae growth, promotes photosynthesis, converts light energy into chemical energy, and helps remove organic matter and nutrients from wastewater.

[0064] The microalgae cultivation system, as the main site for microalgae growth, provides a suitable environment for microalgae to grow and reproduce by adding pure microalgae stock solution, while treating pollutants in wastewater.

[0065] Membrane separation systems utilize ultrafiltration membrane materials to efficiently separate microalgae from treated water, achieving algae-water separation. This allows the treated water to be reused or further treated, while the microalgae are collected for other uses.

[0066] The product water tank collects the clean water treated by the membrane separation system. This water can be reused or discharged, or returned to the front end of the treatment process for further treatment.

[0067] Algae production tanks collect concentrated microalgae, which can be further processed, such as centrifuged for concentration, and then stored or transported for use as feed.

[0068] Water pumps transport wastewater and microalgae solution in the system, ensuring fluid flow and maintaining the normal operation of the entire reactor.

[0069] The intelligent control system monitors and automatically adjusts the reactor's operating parameters, such as water quality indicators like algae density, nitrogen, phosphorus, and organic matter, as well as process indicators like water flow and transmembrane pressure difference, ensuring the reactor's efficient and stable operation while reducing energy consumption and manual operation.

[0070] The entire algal membrane reactor is designed to achieve high efficiency and automation in wastewater treatment by integrating these components, while simultaneously recovering valuable microalgal biomass and realizing resource recycling. Specifically: wastewater flows into the microalgae cultivation system (photobioreactor) by gravity, pure microalgae stock solution is added by a dosing pump, a blower aerates and agitates the algae-water mixture, the expanded algae-water mixture enters the membrane tank, a backwash pump draws out the effluent, which is then reused or returned to the upstream advanced treatment unit. The concentrated algae solution enters the algae tank, is centrifuged for concentration, stored, and transported externally as feed.

[0071] Specifically, the workflow of the intelligent control system is as follows:

[0072] Step S1: Wastewater flows into the microalgae cultivation system (photobioreactor) by gravity.

[0073] Step S2: Add pure microalgae stock solution using a dosing pump.

[0074] Step S3: Use a blower to aerate and agitate the algae-water mixture to support the growth of microalgae.

[0075] Step S4: Algae-water mixture amplification, the amplified algae-water mixture enters the membrane tank.

[0076] Step S5: Utilizing the high efficiency separation performance of ultrafiltration membranes and combining the microalgae growth cycle, design the parameters of the MAR algae membrane continuous flow reactor to construct an algae membrane synergistic decontamination high efficiency reactor.

[0077] Step S6: The backwash pump draws out the effluent, which can be reused or returned to the front-end deep treatment unit.

[0078] Step S7: Algae Concentration and Storage. The concentrated algae solution enters the algae tank, is centrifuged and concentrated, and stored for external use as feed.

[0079] Example 2

[0080] like Figure 2 As shown in the example, the parts not detailed in this embodiment are as shown in Example 1. This embodiment provides a decontamination optimization method for an algal membrane reactor, including the following steps:

[0081] Step A1: Obtain the water quality characteristics of the wastewater to be treated and determine the main pollutants that need to be removed from the wastewater;

[0082] Step A2: Screen algae species from existing algae species to remove the main pollutants;

[0083] Step A3: Algal strain adaptation training. Adaptation training is conducted on the selected algal strains to obtain their growth and pollutant removal capabilities in specific wastewater environments.

[0084] Step A4: Under laboratory conditions, conduct small-scale experiments on algae strains to optimize key parameters for wastewater treatment. Key parameters include total phosphorus removal rate, total nitrogen removal rate, high salt ion removal rate, and biomass accumulation.

[0085] It should be noted that laboratory conditions include hydraulic retention time, aeration rate, reaction system temperature, and light intensity. The laboratory environment is adjusted by changing these variable parameters.

[0086] Step A5: Repeat steps A1-A4 until a suitable algal species for treating the current wastewater is obtained, and design an algal membrane reactor based on the algal species.

[0087] Step A6: Optimize algal growth conditions by controlling reaction system parameters: these parameters include hydraulic retention time, aeration rate, reaction system temperature, and light intensity.

[0088] Step A7: Based on adjusting the hydraulic retention time and aeration rate, obtain the key parameters of the algae species in treating wastewater under the current wastewater environment; evaluate whether the algae are efficient in treating the wastewater based on the key parameters;

[0089] Step A8: Assess whether the algal strain is suitable for treating the wastewater; if not, return to step A6 for algal strain screening; if yes, record the experimental parameters and the preserved algal strain.

[0090] Example 3

[0091] like Figure 3As shown in Example 2, the parts not detailed in this embodiment are described below. This embodiment provides an online monitoring method for effluent water quality based on an algae membrane reactor. By monitoring water quality indicators online and automatically adjusting operating parameters according to preset allowable ranges, the stable and efficient operation of the reactor is ensured. The method includes the following steps:

[0092] Step B1: Start the reactor and begin operating the algal membrane reactor;

[0093] Step B2: Based on the results of the laboratory pilot experiment, preset the operating parameters of the reactor;

[0094] Step B3: Based on the treatment objectives and discharge standards, set the allowable range of effluent water quality indicators;

[0095] Step B4: Use a water quality monitoring probe to monitor the water quality indicators of the reactor effluent in real time;

[0096] Step B5: Determine water quality indicators by comparing the monitored water quality indicators with the preset allowable range; if the water quality indicators are not within the preset allowable range, the reactor's operating parameters will be automatically adjusted via the transmission controller.

[0097] Step B6: If the water quality indicators meet the preset range, keep the current operating parameters unchanged and continue to monitor the water quality; this emphasizes the importance of automated monitoring and adjustment in the operation of the algae membrane reactor, ensuring the continuity of the treatment process and the stability of the water quality.

[0098] Based on the response mechanism of key parameters of water quality and algae growth, an intelligent operation system was constructed. Microalgae species were determined according to the characteristics of wastewater quality. The ratio of nutrients for algae growth was determined in a small-scale test. The experimental parameters were recorded according to the overall optimization parameters of the effluent quality. The algae species that can effectively treat wastewater were preserved for subsequent application to treat specific wastewater and realize the recycling of resources.

[0099] Specifically, this embodiment cultivates microalgae species that can efficiently remove characteristic pollutants from production wastewater with different water quality characteristics. Through the construction of a self-controlled integrated algal membrane reactor and the establishment of a cloud management platform, it achieves intelligent operation that comprehensively assists in the treatment of wastewater in the food industry.

[0100] To address the persistent pollutants such as nitrogen, phosphorus, and high salinity in food industry wastewater resource recovery, a targeted cultivation method using microalgae was employed for the efficient removal of characteristic pollutants from the water. For wastewater with specific water quality characteristics, existing algal strains preserved in the laboratory were screened, and the algae were isolated and purified from the wastewater. The growth of microalgae and their water purification efficiency under specific water quality conditions were investigated using a small-scale laboratory setup. The microalgae strains cultivated in the laboratory that efficiently purify characteristic pollutants possess unique bioactive growth factors. After cell wall disruption, the CGF functional substance in *Chlorella vulgaris* can enhance the regeneration capacity of normal cells by more than 25%, producing higher-quality cells. The effects of different environmental parameters on microalgae growth and pollutant purification efficiency were investigated, and a model was established to provide data models and a theoretical basis for subsequent industrial production applications.

[0101] Microalgae can effectively perform photosynthesis, converting toxic substances such as ammonia nitrogen, nitrite, and phosphate into organic compounds and producing oxygen, thus increasing dissolved oxygen levels. The laboratory-cultured microalgae strain MAR-73I I achieved a COD removal rate of 70%–73%, a total nitrogen removal rate of 70%–85%, a total phosphorus removal rate of 80%–95%, and an ammonia nitrogen removal rate of 60%–72%. The microalgae exhibited good biomass growth, with biomass increasing from an initial 0.3 g / L to a maximum of 1.13 g / L within a 7-day hydraulic retention time. For specific microalgae water purification effects, see [link to relevant documentation]. Figure 5-6 As shown.

[0102] The MAR algal membrane reactor enables continuous flow operation for wastewater treatment. By adjusting the external light source and aeration intensity, the autotrophic and heterotrophic growth processes of microalgae are controlled, enhancing the stability of the wastewater treatment process. The company's independently developed high-flux, anti-fouling novel ultrafiltration membrane material possesses highly efficient separation performance, achieving algae-water separation without disrupting microalgae growth. The low surface energy of the membrane material prevents microalgae from clogging the membrane pores, ensuring that the effluent meets reuse standards.

[0103] The equipment incorporates online monitoring and automated parameter adjustment technology for effluent water quality, integrates with pretreatment technologies such as coagulation sedimentation and filtration, combines water quality indicators such as algae density, nitrogen, phosphorus and organic matter, and couples process indicators such as water volume and transmembrane pressure difference to construct an intelligent operation platform.

[0104] Based on real-time data acquisition from the equipment, the oxygen demand and wastewater inflow are accurately calculated, and the parameters of the blower, light source and other parameters are automatically adjusted to achieve stable operation of the biochemical section, reduce energy consumption and chemical consumption and reduce human operation.

[0105] Specifically, the equipment's online monitoring and automated parameter adjustment technology for effluent water quality involves integrating pretreatment technologies such as coagulation sedimentation and filtration, combining water quality indicators such as algae density, nitrogen, phosphorus, and organic matter, and coupling process indicators such as water volume and transmembrane pressure difference to build an intelligent operation platform. This platform further optimizes the design, operation, and management parameters of the MAR algae membrane process package by incorporating machine learning and other methods.

[0106] Through the cloud platform module, the control center can uniformly command and dispatch, effectively avoiding or reducing economic losses caused by substandard operation and maintenance and production, and significantly reducing operation and maintenance and labor costs. It can also monitor and optimize the entire sewage treatment process, ensuring the efficiency and stability of sewage treatment.

[0107] At the effluent end of the photobioreactor, an online water quality monitoring system is established. This system, centered on online automatic analysis instruments, integrates sensing technology, automatic measurement technology, automatic control technology, computer application technology, and related specialized analysis software and communication networks to form a comprehensive online automatic monitoring system. Based on real-time data acquisition from the equipment, it accurately calculates oxygen demand and wastewater inflow, automatically adjusting parameters such as blowers and light sources to achieve stable operation of the biochemical section, reduce energy and chemical consumption, and minimize manual operation. Figure 7 As shown, intelligent monitoring can maintain the microalgae in the reactor within a healthy range.

[0108] Specifically, this involves real-time monitoring of water quality and wastewater process indicators based on sensors; various sensors are used to monitor physical, chemical, and biological parameters in water in real time. Common sensors include water temperature sensors, pH sensors, dissolved oxygen sensors, chemical oxygen demand (COD) sensors, biochemical oxygen demand (BOD) sensors, and ammonia nitrogen sensors.

[0109] A smart operation platform for MAR wastewater treatment equipment is constructed, enabling unified command and dispatch from the control center. This effectively avoids or reduces economic losses caused by substandard operation and maintenance, and significantly reduces operation and maintenance and labor costs. The platform provides a clear view of the production status of each process stage of the wastewater treatment equipment through a visual process display, assisting managers in accurately controlling the plant's operational status. Equipment management is visualized and digitized, facilitating optimal utilization of equipment and personnel and supporting refined management of wastewater treatment operation and maintenance. The cloud platform also provides hierarchical management via mobile APP applications, allowing each wastewater treatment site to view process data and reports for different wastewater treatment projects via mobile internet.

[0110] Example 4

[0111] In an exemplary embodiment, a computer program product stored on a computer-readable medium includes a computer-readable program that, when executed on an electronic device, provides a user input interface for implementing an algal membrane reactor.

[0112] For example, computer-readable storage media can be read-only memory (ROM), random access memory (RAM), compact disc read-only memory (CD-ROM), magnetic tape, floppy disk, and optical data storage devices.

[0113] In an exemplary embodiment, a computer program product or computer program is also provided, comprising one or more lines of program code stored in a computer-readable storage medium. One or more processors of an electronic device are capable of reading the one or more lines of program code from the computer-readable storage medium, and the one or more processors execute the one or more lines of program code, enabling the electronic device to perform the aforementioned algae membrane reactor.

[0114] It should be understood that in the various embodiments of this application, the order of the above-mentioned processes does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0115] It should be understood that determining B based on A does not mean determining B solely based on A; it also means determining B based on A and / or other information.

[0116] Those skilled in the art will understand that all or part of the steps of the above embodiments can be implemented by hardware or by a program instructing related hardware. The program can be stored in a computer-readable storage medium, such as a read-only memory, a disk, or an optical disk.

[0117] The above description is only an optional embodiment of this application and is not intended to limit this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

[0118] In the several embodiments provided by this invention, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only one method, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0119] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0120] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

[0121] In conclusion, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. An algal membrane reactor, characterized in that, It includes an aeration system, a lighting system, a microalgae cultivation system, a membrane separation system, a product water tank, an algae production tank, a water pump, and an intelligent control system; among which: The aeration system supplies oxygen to the microalgae cultivation system and stirs the algae-water mixture using a blower. The lighting system provides a light source for the growth of microalgae and helps remove organic matter and nutrients from wastewater. The microalgae cultivation system uses a dosing pump to add microalgae stock solution, providing a suitable environment for the growth and reproduction of microalgae. The microalgae are algae species suitable for food wastewater obtained through targeted domestication. Targeted domestication specifically involves: acquiring the water quality characteristics of the wastewater to be treated and identifying the main pollutants that need to be removed from the wastewater; screening algae species from existing algae species to remove the main pollutants; and algae species adaptability training, which involves adapting the screened algae species to obtain the growth and pollutant removal capabilities of the corresponding algae species in a specific wastewater environment. The membrane separation system uses a low surface energy, high flux, and fouling-resistant ultrafiltration membrane to separate microalgae and treated water, achieving algae-water separation. It is also equipped with a backwash pump for online flushing and real-time monitoring of transmembrane pressure difference. The product water tank collects the clean water treated by the membrane separation system for reuse, discharge, or return to the front end of the treatment process for further treatment; Algae production box, used to collect concentrated microalgae; Water pumps are used to transport wastewater and microalgae solutions within the system; The intelligent control system collects six indicators: algal density, COD, total nitrogen, total phosphorus, ammonia nitrogen, and transmembrane pressure difference. Based on the preset dissolved oxygen range for healthy microalgae, it performs closed-loop automatic adjustment and links the aeration volume of the blower, light intensity, and the flow rate of the influent pump. The algal membrane reactor is a suspended continuous flow structure without biological fixed packing material, suitable for food wastewater. Under the condition of 7 days hydraulic retention time, the COD removal rate is 70%~73%, the total nitrogen removal rate is 70%~85%, the total phosphorus removal rate is 80%~95%, the ammonia nitrogen removal rate is 60%~72%, and the microalgal biomass is increased from 0.3g / L to 1.13g / L.

2. The algal membrane reactor according to claim 1, characterized in that, The workflow of the intelligent control system is as follows: Step S1: Wastewater enters the microalgae cultivation system via a water pump; Step S2: Add microalgae stock solution using a dosing pump; Step S3: Use a blower to aerate and agitate the algae-water mixture to support the growth of microalgae; Step S4: Algae-water mixture amplification; the amplified algae-water mixture enters the membrane tank. Step S5: Utilize the high-efficiency separation performance of ultrafiltration membranes and combine it with the microalgae growth cycle to design algal membrane reactor parameters and construct the algal membrane reactor; Step S6: The backwash pump draws out the effluent, which is then reused or returned to the front-end deep treatment unit. Step S7: Algae Concentration and Storage. The concentrated algae solution enters the algae production tank, is centrifuged, concentrated, and stored for external use as feed.

3. A decontamination optimization method for an algal membrane reactor, based on the implementation of the algal membrane reactor described in claims 1-2, characterized in that, Includes the following steps: Step A1: Obtain the water quality characteristics of the wastewater to be treated and determine the main pollutants that need to be removed from the wastewater; Step A2: Screen algae species from existing algae species to remove the main pollutants; Step A3: Algal strain adaptation training. Adaptation training is conducted on the selected algal strains to obtain their growth and pollutant removal capabilities in specific wastewater environments. Step A4: Under laboratory conditions, conduct small-scale experiments on algae strains to optimize key parameters for wastewater treatment. Key parameters include total phosphorus removal rate, total nitrogen removal rate, ion removal rate, and biomass accumulation. Step A5: Repeat steps A1-A4 until a suitable algal species for treating the current wastewater is obtained, and design an algal membrane reactor based on the algal species. Step A6: Optimize the growth conditions of algae by controlling the reaction system parameters: the reaction system parameters include hydraulic retention time, aeration rate, reaction system temperature and light intensity; Step A7: Based on adjusting the hydraulic retention time and aeration rate, obtain the key parameters of the algae species in treating wastewater under the current wastewater environment; evaluate whether the algae are efficient in treating the wastewater based on the key parameters; Step A8: Assess whether the algal species is suitable for treating the wastewater; if not, return to step A2 for algal species screening. If so, record the experimental parameters and the preserved algal species.

4. The decontamination optimization method for an algal membrane reactor according to claim 3, characterized in that, Laboratory conditions include hydraulic retention time, aeration rate, reaction system temperature, and light intensity. The laboratory environment is adjusted by changing the variable parameters of hydraulic retention time, aeration rate, reaction system temperature, and light intensity.

5. A method for online monitoring of effluent water quality based on an algal membrane reactor, comprising the implementation of a decontamination optimization method for an algal membrane reactor as described in claims 3-4, characterized in that... Includes the following steps: Step B1: Start the reactor and begin operating the algal membrane reactor; Step B2: Based on the results of the laboratory pilot experiment, preset the operating parameters of the reactor; Step B3: Based on the treatment objectives and discharge standards, set the allowable range of effluent water quality indicators; Step B4: Use a water quality monitoring probe to monitor the water quality indicators of the reactor effluent in real time; Step B5: Determine water quality indicators by comparing the monitored water quality indicators with the preset allowable ranges; if the water quality indicators are not within the preset allowable ranges, the reactor's operating parameters will be automatically adjusted by the controller. Step B6: If the water quality indicators meet the preset range, keep the current operating parameters unchanged and continue to monitor the water quality.

6. The method for online monitoring of effluent water quality based on an algal membrane reactor according to claim 5, characterized in that, Based on the response mechanism of key parameters of water quality and algae growth, a smart operation system is constructed. Based on the characteristics of the wastewater, microalgae species were identified, and the nutrient ratio for algal growth was determined in a small-scale test. Based on the overall optimization parameters of the effluent water quality, the experimental parameters were recorded, and the algal species that efficiently treat wastewater were preserved.

7. The method for online monitoring of effluent water quality based on an algal membrane reactor according to claim 6, characterized in that, Microalgae species that remove characteristic pollutants from production wastewater with different water quality characteristics are cultivated in a targeted manner and operated through an automated integrated algal membrane reactor.

8. The method for online monitoring of effluent water quality based on an algal membrane reactor according to claim 7, characterized in that, The equipment incorporates online monitoring and automated parameter adjustment technology for effluent water quality, integrates coagulation sedimentation and filtration treatment technologies, combines water quality indicators related to algae density, nitrogen, phosphorus and organic matter, and couples wastewater process indicators such as water volume and transmembrane pressure difference to construct an intelligent operation platform.

9. The method for online monitoring of effluent water quality based on an algal membrane reactor according to claim 8, characterized in that, Real-time monitoring of water quality indicators and wastewater process indicators based on sensors; Based on the indicator data transmitted from the sensors, preliminary processing and storage are performed, and the data is then transmitted to the monitoring center via the communication module. Based on real-time monitoring of water quality parameters by the monitoring center, the system sets alarm thresholds. When water quality parameters exceed the thresholds, the monitoring data is analyzed and processed to generate various reports and charts, providing decision-making basis for managers. Managers can view water quality data anytime, anywhere via the internet.

10. A computer program product stored on a computer-readable medium, characterized in that: The method includes a computer-readable program that, when executed on an electronic device, provides a user input interface to implement the online monitoring method for effluent water quality based on an algal membrane reactor as described in any one of claims 5-9.

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