Artificial intelligence-driven ultrafiltration sterile circulating water system

Abstract

Disclosed in the present invention is an artificial intelligence-driven ultrafiltration sterile circulating water system, comprising a pre-filter, a first three-port valve, a second three-port valve, a third three-port valve, a fourth three-port valve, a main filter cartridge device, a heater, a cooler, a detector, a controller and a cloud artificial intelligence (AI) system. In a filtering mode, wastewater inside a water pond will be filtered by means of the pre-filter, then flows through the first three-port valve and the second three-port valve to enter a water inlet of the main filter cartridge device, then is filtered by means of an ultrafiltration membrane inside the main filter cartridge device, and finally, by means of a hole and the fourth three-port valve, flows back to the water pond; in a backwashing mode, tap water supplied from a tap water supply device will flow through the third three-port valve and the fourth three-port valve and enters the main filter cartridge device via the hole to back wash the ultrafiltration membrane.

Description

Ultrafiltration sterile circulating water system driven by artificial intelligence TECHNICAL FIELD

[0001] The present application relates to a circulating water system, in particular to an ultrafiltration sterile circulating water system driven by artificial intelligence. BACKGROUND

[0002] At present, in aquaculture, water quality is the most important breeding condition, and in order to make the water quality be able to be controlled stably to achieve the balance of multiple bacteria (once unbalanced, problems will occur), and the cultivation of bacterial flora is affected by temperature, humidity, acid and alkali, and residual amount and many factors, so the experience value and monitoring requirement are high, that is, there is no sterile phase breeding method at present. At present, the configuration of most farms usually uses the same water quality treatment system or device for multiple breeding tanks, which uniformly recycles the water after breeding to the water quality treatment device for deposition, purification and other treatments, and then divides and sends it back to each breeding tank and relies on experience to add drugs or probiotics. Although this can stabilize and homogenize the water quality state of each breeding tank, if the aquatic organisms in one tank are sick or infected with bacteria, the source of disease or bacteria is also easy to flow to each breeding tank, causing overall sickness or infection, which is a great breeding disaster.

[0003] Therefore, how to solve the problems and defects of the prior art is the research and development topic of the relevant industry.

[0004] SUMMARY

[0005] The purpose of the present application is to provide an ultrafiltration sterile circulating water system driven by artificial intelligence.

[0006] The present application provides an artificial intelligence driven ultrafiltration sterile circulating water system, especially suitable for a pool for aquaculture and aquatic sterile breeding. The artificial intelligence driven ultrafiltration sterile circulating water system has a filtration mode, a backwashing mode and a water replenishment mode. The artificial intelligence driven ultrafiltration sterile circulating water system comprises a pre-filter, a first three-way valve, a second three-way valve, a third three-way valve, a fourth three-way valve, a main filter core device, a detector, a controller, and a cloud artificial intelligence (AI) system. The pre-filter has a pre-water inlet and a pre-water outlet. The pre-water inlet is connected to the pool through a first pipeline. The pre-filter is used to filter impurities with a particle size of more than microns. The first three-way valve has a first hole, a second hole and a third hole. The pre-water outlet is connected to the first hole of the first three-way valve through a second pipeline. The second hole of the first three-way valve is connected to the pool through a third pipeline. The second three-way valve has a first hole, a second hole and a third hole. The first hole of the second three-way valve is connected to the third hole of the first three-way valve through a fourth pipeline. The third three-way valve has a first hole, a second hole and a third hole. The first hole of the third three-way valve is connected to the second hole of the second three-way valve through a fifth pipeline. The second hole of the third three-way valve is connected to a tap water supply device through a sixth pipeline. The fourth three-way valve has a first hole, a second hole and a third hole. The third hole of the third three-way valve is connected to the first hole of the fourth three-way valve through a seventh pipeline. The second hole of the fourth three-way valve is connected to the pool through an eighth pipeline. The main filter core device has a water inlet, a water outlet and a hole. The main filter core device has an ultrafiltration membrane inside, which is used to filter impurities, bacteria or viruses below microns. The water inlet of the main filter core device is connected to the third hole of the second three-way valve through a ninth pipeline. The hole of the main filter core device is connected to the third hole of the fourth three-way valve through a tenth pipeline. The water outlet of the main filter core device is connected to a wastewater collection container through an eleventh pipeline. The detector is arranged in or beside the pool. The detector is used to detect the temperature, water volume, ammonia nitrogen content, ozone content, oxygen content, nitrate content and phosphate content of the pool. The controller is connected to and controls the opening and closing actions of the first three-way valve, the second three-way valve, the third three-way valve, the first hole, the second hole and the third hole of the fourth three-way valve. The controller is connected to the detector. The cloud artificial intelligence (AI) system is connected to the controller through the Internet.The cloud artificial intelligence system is used to intelligently monitor and intelligently control the water tank in multiple areas, wherein the cloud artificial intelligence system is used to learn and pre-train the size, water quantity, temperature, ammonia nitrogen content, ozone content, oxygen content, nitrate content and phosphate content, and species of the water tank, and according to a water tank deep learning algorithm, the controller is commanded to perform corresponding control actions to optimize the environment of the water tank. When in the filtration mode, the sewage in the water tank is filtered through the pre-filter, then enters the water inlet of the main filter core device through the first three-way valve and the second three-way valve, then is filtered through the ultrafiltration membrane in the main filter core device, and finally flows into the water tank through the hole and the fourth three-way valve. When in the backwash mode, the tap water supplied by the tap water supply device flows through the third three-way valve and the fourth three-way valve and enters the main filter core device through the hole to backwash the ultrafiltration membrane.

[0007] In an embodiment of the present application, when in the water replenishment mode, the tap water supplied by the tap water supply device flows through the third three-way valve and the second three-way valve and flows into the water tank through the hole and the fourth three-way valve.

[0008] In an embodiment of the present application, the filtration mode, the backwash mode and the water replenishment mode only operate one mode at the same time, and the cloud artificial intelligence system determines to command the controller to start one of the filtration mode, the backwash mode and the water replenishment mode according to the data detected by the detector.

[0009] In an embodiment of the present application, the pre-filter is used to segmentally filter impurities above microns in different particle sizes.

[0010] In an embodiment of the present application, the artificial intelligence driven ultrafiltration sterile circulating water system further comprises an ultrasonic generator. The ultrasonic generator is connected to the controller, and the ultrasonic generator is used to generate ultrasonic waves to strip impurities, bacteria or viruses on the ultrafiltration membrane when in the backwash mode.

[0011] In an embodiment of the present application, the artificial intelligence driven ultrafiltration sterile circulating water system further comprises a feeder and an ozone machine. The feeder is connected to the controller, and the feeder feeds the water tank according to the instruction of the controller. The ozone machine is connected to the controller, and the ozone machine generates ozone into the water tank according to the instruction of the controller. The cloud artificial intelligence system commands the controller to control the operation of the feeder and the ozone machine according to the data detected by the detector.

[0012] In an embodiment of the present application, when in the filtration mode or in the water replenishment mode, the tap water flows out from the fourth three-way valve into an ion exchange resin section to further remove all harmful ions, and then the tap water enters the water tank, wherein the ion exchange resin section has ammonia nitrogen, nitrate and phosphate.

[0013] In an embodiment of the present application, the cloud artificial intelligence (AI) system includes a database unit, a learning and training unit, a parameter optimization setting unit, a condition restriction unit, and an AI model processing unit. The database unit has relevant data of the size of the water tank, water volume, temperature, ammonia nitrogen content, ozone content, oxygen content, nitrate content, and phosphate content, and species of the aquatic animals, wherein the database unit is connected to a cloud platform through the Internet to update the relevant data online. The learning and training unit is connected to the database unit, and the learning and training unit learns and pre-trains through the water tank deep learning algorithm and according to the relevant data in the database unit. The parameter optimization setting unit is connected to the database unit, and the parameter optimization setting unit is used to optimize the setting of the water tank environment according to the relevant data of the size of the water tank, water volume, temperature, ammonia nitrogen content, ozone content, oxygen content, nitrate content, and phosphate content, and species of the aquatic animals. The condition restriction unit is connected to the learning and training unit, and the condition restriction unit is used to limit the learning deviation of the artificial intelligence (AI) system by setting multiple conditions. The AI model processing unit is connected to the learning and training unit and the parameter optimization setting unit, and the AI model processing unit learns and trains an AI model through the learning and training unit, wherein the AI model processing unit is the AI brain of the artificial intelligence system.

[0014] In summary, the artificial intelligence driven ultrafiltration sterile circulating water system disclosed in the present application can bring the following effects:

[0015] 1. Energy saving, no consumables and cost saving;

[0016] 2. The water tank reaches the state of sterile phase to solve the problem of any aquatic animals being infected with diseases, which is beneficial to the breeding of aquatic animals in the water tank;

[0017] 3. The water replenishment mode provides sterile water (plus ozone and pure oxygen) to facilitate the packaging and transportation of aquatic animals;

[0018] 4. Ultra-low water consumption; and

[0019] 5. No need to add medicaments to achieve sterile breeding.

[0020] The purposes, technical contents, characteristics and effects of the present application can be better understood by the following specific embodiments. BRIEF DESCRIPTION OF DRAWINGS

[0021] FIG. 1 is a schematic diagram of an artificial intelligence driven ultrafiltration sterile circulating water system of the present application.

[0022] FIG. 2 is a detailed schematic diagram of an artificial intelligence driven ultrafiltration sterile circulating water system of the present application.

[0023] FIG. 3 is a schematic diagram of a cloud artificial intelligence system monitoring and managing all water tanks of the present application.

[0024] BRIEF DESCRIPTION OF DRAWINGS: 10 - artificial intelligence driven ultrafiltration sterile circulating water system; 110 - pre-filter; 110A - pre-water inlet; 110B - pre-water outlet; 120 - first three-hole valve; 120A - first hole; 120B - second hole; 120C - third hole; 130 - second three-hole valve; 130A - first hole; 130B - second hole; 130C - third hole; 140 - third three-hole valve; 140A - first hole; 140B - second hole; 140C - third hole; 150 - fourth three-hole valve; 150A - first hole; 150B - second hole; 150C - third hole; 160 - main filter core device; 160A - water inlet; 160B - water outlet; 160C - hole; 162 - ultrafiltration membrane; 170 - waste water collection container; 230 - detector; 240 - controller; 250 - ultrasonic wave generator; 260 - feeder; 270 - ozone machine; 300 - cloud artificial intelligence system; 310 - database unit; 320 - learning and training unit; 330 - parameter optimization setting unit; 340 - condition limiting unit; 350 - AI model processing unit; 400 - tap water supply device; 500 - ion exchange resin section; NT - internet; TA - water tank; T1 - first pipeline; T2 - second pipeline; T3 - third pipeline; T4 - fourth pipeline; T5 - fifth pipeline; T6 - sixth pipeline; T7 - seventh pipeline; T8 - eighth pipeline; T9 - ninth pipeline; T10 - tenth pipeline; T11 - eleventh pipeline. DETAILED DESCRIPTION

[0025] The inventor has improved the existing product after years of research and development, and will introduce in detail how the present application achieves the most efficient function with an artificial intelligence driven ultrafiltration sterile circulating water system.

[0026] Referring to FIG. 1, which is a schematic diagram of the AI-driven ultrafiltration sterile circulating water system of the present application. The AI-driven ultrafiltration sterile circulating water system 10 of the present application can create a sterile phase environment for a water tank, as shown in the figure. The AI-driven ultrafiltration sterile circulating water system 10 is particularly suitable for a water tank TA for aquaculture and aquatic sterile breeding. The AI-driven ultrafiltration sterile circulating water system 10 has a filtration mode, a backwashing mode, and a water replenishment mode, the operation mechanisms of which will be described one by one below. First, the AI-driven ultrafiltration sterile circulating water system 10 includes a pre-filter 110, a first three-way valve 120, a second three-way valve 130, a third three-way valve 140, a fourth three-way valve 150, a main filter core device 160, a detector 230, a controller 240, and a cloud AI system 300. The pre-filter 110 has a pre-water inlet 110A and a pre-water outlet 110B. The pre-water inlet 110A is connected to the water tank TA through a first pipeline T1. The pre-filter 110 is used to pre-treat impurities with a particle size of more than microns (pm). In another embodiment, the pre-filter 110 is used to segmentally filter impurities with a particle size of more than microns, such as 200 pm, 100 pm, 5 pm, 1 pm, and the like, in a sequential manner. The pre-filter 110 can be made of stainless steel, which is easy to clean and has no consumables. In addition, the segments are connected in a sealed manner, so that only one pressurization is required, which is very energy-saving. The first three-way valve 120 has a first hole 120A, a second hole 120B, and a third hole 120C. The pre-water outlet 110B is connected to the first hole 120A of the first three-way valve 120 through a second pipeline T2. The second hole 120B of the first three-way valve 120 is connected to the water tank TA through a third pipeline T3. The second three-way valve 130 has a first hole 130A, a second hole 130B, and a third hole 130C. The first hole 130A of the second three-way valve 130 is connected to the third hole 120C of the first three-way valve 120 through a fourth pipeline T4. The third three-way valve 140 has a first hole 140A, a second hole 140B, and a third hole 140C. The first hole 140A of the third three-way valve 140 is connected to the second hole 130B of the second three-way valve 130 through a fifth pipeline T5. The second hole 140B of the third three-way valve 140 is connected to a tap water supply device 400 through a sixth pipeline T6. The fourth three-way valve 150 has a first hole 150A, a second hole 150B, and a third hole 150C. The third hole 140C of the third three-way valve 140 is connected to the first hole 150A of the fourth three-way valve 150 through a seventh pipeline T7. The second hole 150B of the fourth three-way valve 150 is connected to the water tank TA through an eighth pipeline T8.

[0027] Furthermore, the main filter device 160 has an inlet 160A, an outlet 160B and a hole 160C. The main filter device 160 has an ultrafiltration membrane 162 inside for filtering micrometer-sized impurities, bacteria or viruses (e.g. viruses of 20-50 nanometers can also be filtered out). The inlet 160A of the main filter device 160 is connected to the third hole 130C of the second three-way valve 130 through a ninth pipeline T9. The hole 160C of the main filter device 160 is connected to the third hole 150C of the fourth three-way valve 150 through a tenth pipeline T10. The outlet 160B of the main filter device 160 is connected to a wastewater collection container 170 through an eleventh pipeline T11. The outlet 160B of the main filter device 160 is also controlled to be opened or closed by the controller 240.

[0028] In addition, a detector 230 is arranged in or beside the tank TA. The detector 230 can be a multifunctional detector or a plurality of detectors with different functions. The detector 230 is used to detect the temperature, water volume, ammonia-nitrogen content, ozone content, oxygen content, nitrate content and phosphate content of the tank TA. The controller 240 is connected to and controls the opening and closing of the first three-way valve 120, the second three-way valve 130, the third three-way valve 140, the first holes (120A, 130A, 140A and 150A), the second holes (120B, 130B, 140B and 150B) and the third holes (120C, 130C, 140C and 150C) of the fourth three-way valve 150. The controller 240 is connected to the detector 230. The cloud artificial intelligence (AI) system 300 is connected to the controller 240 through the Internet NT. The controller 240 transmits the real-time data of the temperature, water volume, ammonia-nitrogen content, ozone content, oxygen content, nitrate content and phosphate content of the tank TA detected by the detector to the cloud artificial intelligence system 300 through the Internet NT, so that the cloud artificial intelligence system 300 can further analyze, judge or make action decisions. The cloud artificial intelligence system 300 of the present application is used to simultaneously intelligently monitor and intelligently control the tanks TA in multiple regions. The cloud artificial intelligence system 300 is used to learn and pre-train the size, water volume, temperature, ammonia-nitrogen content, ozone content, oxygen content, nitrate content and phosphate content, and species of the tank TA, and according to a tank deep learning algorithm, the controller 240 is commanded to perform corresponding control actions to optimize the environment of the tank TA.

[0029] Further, the cloud artificial intelligence (AI) system 300 of the present application comprises a database unit 310, a learning and training unit 320, a parameter optimization setting unit 330, a condition restriction unit 340, and an AI model processing unit 350. The database unit has relevant data of the size, temperature, ammonia-nitrogen content, ozone content, oxygen content, nitrate content, and phosphate content of the pool, and the species of the aquatic animals, wherein the database unit 310 is connected to a cloud platform through the Internet NT to update the relevant data online. The learning and training unit 320 is connected to the database unit 310, and the learning and training unit 320 learns and pre-trains through the pool deep learning algorithm and according to the relevant data in the database unit 310. The parameter optimization setting unit 330 is connected to the database unit 310, and the parameter optimization setting unit 330 is used to optimize the setting of the pool TA environment according to the relevant data of the size, water volume, temperature, ammonia-nitrogen content, ozone content, oxygen content, nitrate content, and phosphate content of the pool, and the species of the aquatic animals. The condition restriction unit 340 is connected to the learning and training unit 320, and the condition restriction unit 340 is used to limit the learning bias of the cloud artificial intelligence system 300 by setting multiple conditions. The AI model processing unit 350 is connected to the learning and training unit 320 and the parameter optimization setting unit 330, and the AI model processing unit 350 learns and trains an AI model through the learning and training unit, wherein the AI model processing unit 350 is the AI brain of the cloud artificial intelligence system 300.

[0030] The detailed operation mechanism of the artificial intelligence driven ultrafiltration sterile circulating water system 10 in the filtration mode, backwashing mode, and water replenishing mode will be further described below.

[0031] When in the filtration mode, the sewage in the pool TA is filtered through the pre-filter 110, that is, flows in from the pre-filter water inlet 110A and flows out from the pre-filter water outlet 110B, and then enters the water inlet 160A of the main filter core device 160 through the first hole 120A and the third hole 120C (at this time, the second hole 120B is in a closed state) of the first three-hole valve 120 and the first hole 130A and the third hole 130C (at this time, the second hole 130B is in a closed state) of the second three-hole valve 130. Next, the sewage is filtered through the ultrafiltration membrane 162 in the main filter core device 160, and finally flows into the pool TA again through the hole 160C and the third hole 150C and the second hole 150B of the fourth three-hole valve 150.

[0032] In addition, when in the backwash mode, the tap water supplied by the tap water supply device 400 flows through the second hole 140B and the third hole 140C (the first hole 140A is closed at this time) of the third three-way valve 140 and the first hole 150A and the third hole 150C (the first hole 150A is closed at this time) of the fourth three-way valve 150, and enters the main filter device 160 through the hole 160C to backwash the ultrafiltration membrane 162, and the wastewater is discharged from the water outlet 160B to the wastewater collection container 170. In another embodiment, the backwashed wastewater is discharged from the water outlet 160B to an automatic detection device to detect whether there are still impurities, bacteria or viruses in the wastewater, thereby determining whether the backwashing operation has been completed.

[0033] Finally, when in the water replenishment mode, the tap water supplied by the tap water supply device 400 flows through the second hole 140B and the first hole 140A (the third hole 140C is closed at this time) of the third three-way valve 140 and the second hole 130B and the third hole 130C (the first hole 130A is closed at this time) of the second three-way valve 130, and then passes through the ultrafiltration membrane 162, and then flows into the water tank TA through the hole 160C and the third hole 150C and the second hole 150B (the first hole 150A is closed at this time) of the fourth three-way valve 150. In addition, since aquaculture is difficult, and the transportation of aquatic organisms is even more difficult, the use of sterile water plus ozone and pure oxygen during transportation can overcome such problems, and the sterile water can be provided by the water replenishment mode of the present application. If there is no sterile water, the bacteria may multiply during transportation and cause the organisms to die.

[0034] It should be noted that in another embodiment, when in the water replenishment mode, the controller 240 can control at least one temperature adjusting device (not shown) to heat or cool the tap water in the main filter device 160, thereby adjusting the water temperature in the water tank TA.

[0035] In addition, in the conventional farming method, too many impurities cannot be treated by ion exchange resin. However, the present application can use ion exchange resin for treatment in the filtration mode or the water replenishment mode, that is, the water filtered by the ultrafiltration membrane 162 (all viruses and bacteria are filtered out) is subjected to ozone sterilization and ammonia nitrogen conversion, and before entering the pool, it is subjected to an ion exchange resin section 500 for adding ammonia nitrogen, nitrate, and phosphate, which mainly uses ion exchange resin to remove all harmful ions, and the ion exchange resin is replaced through water quality monitoring. The ion exchange resin can be reduced by soaking in salt water (the reduction time is determined according to the actual situation), so it will not become a consumable. It is worth mentioning that the filtration mode, the backwashing mode and the water replenishment mode can only operate one mode at the same time, and the cloud artificial intelligence system determines which one of the filtration mode, the backwashing mode and the water replenishment mode to start according to the data detected by the detector.

[0036] In addition, the artificial intelligence driven ultrafiltration sterile circulating water system 10 further includes an ultrasonic generator 250, a feeder 260 and an ozone machine 270. The ultrasonic generator 250 is connected to the controller 240, and the ultrasonic generator 250 is used to generate ultrasonic waves to strip the impurities, bacteria or viruses on the ultrafiltration membrane 162 in the backwashing mode, so as to improve the efficiency and completion rate of backwashing, and prolong the service life of the ultrafiltration membrane 162, wherein the size of the ultrasonic frequency can be set according to the actual situation. The feeder 260 is connected to the controller 240, and the feeder 260 feeds the pool TA according to the instruction of the controller 240. The ozone machine 270 is connected to the controller 240, and the ozone machine 270 generates ozone into the pool according to the instruction of the controller 240 to remove ammonia nitrogen. Ammonia nitrogen (NH 4+-N) is the most common pollutant in wastewater, consumes dissolved oxygen in water, causes eutrophication of water body, and is an important control index for wastewater treatment. The cloud artificial intelligence system 300 commands the controller 240 to control the operation of the feeder 260 and the ozone machine 270 according to the data detected by the detector 230.

[0037] The artificial intelligence driven ultrafiltration sterile circulating water system 10 of the present application can be modularized for array combination, that is, a plurality of artificial intelligence driven ultrafiltration sterile circulating water systems 10 can be combined together to filter and treat sewage for a pool. In addition, as shown in FIG. 3, FIG. 3 is a schematic diagram of the cloud artificial intelligence system 300 of the present application for monitoring and managing all pools. The cloud artificial intelligence system 300 of the present application can optimize the management of the pool and sewage-related treatment for a plurality of pools in a farm at a time, as long as the pool in the farm uses the artificial intelligence driven ultrafiltration sterile circulating water system 10 of the present application.

[0038] In summary, the artificial intelligence driven ultrafiltration sterile circulating water system disclosed in the present application can bring the following effects:

[0039] 1. Energy saving, no consumables and cost saving;

[0040] 2. The water tank reaches a sterile phase to solve the problem of any aquatic diseases, which is beneficial to the cultivation of species in the water tank;

[0041] 3. Provide sterile water (plus ozone and pure oxygen) through the water replenishment mode to facilitate the packaging and transportation of aquatic live bodies;

[0042] 4. Ultra-low water consumption; and

[0043] 5. No need to add drugs to achieve sterile cultivation.

[0044] The above is only a preferred embodiment of the present application, and is not intended to limit the scope of the present application. Therefore, any equivalent changes or modifications made in accordance with the features and spirit of the claims of the present application shall be included within the scope of the claims of the present application.

Claims

1. An artificial intelligence-driven ultrafiltration sterile circulating water system, comprising a filtration mode, a backwashing mode, and a water replenishment mode, characterized in that: The artificial intelligence driven ultrafiltration sterile circulating water system comprises: a pre-filter having a pre-water inlet and a pre-water outlet, the pre-water inlet being connected to the pool through a first pipeline, wherein the pre-filter is used to filter impurities with a particle size of more than microns; a first three-hole valve having a first hole, a second hole and a third hole, the pre-water outlet being connected to the first hole of the first three-hole valve through a second pipeline, the second hole of the first three-hole valve being connected to the pool through a third pipeline; a second three-hole valve having a first hole, a second hole and a third hole, wherein the first hole of the second three-hole valve is connected to the third hole of the first three-hole valve through a fourth pipeline; a third three-hole valve having a first hole, a second hole and a third hole, wherein the first hole of the third three-hole valve is connected to the second hole of the second three-hole valve through a fifth pipeline, and the second hole of the third three-hole valve is connected to a tap water supply device through a sixth pipeline; a fourth three-hole valve having a first hole, a second hole and a third hole, wherein the third hole of the third three-hole valve is connected to the first hole of the fourth three-hole valve through a seventh pipeline, and the second hole of the fourth three-hole valve is connected to the pool through an eighth pipeline; a main filter device having a water inlet, a water outlet and a hole, the main filter device having an ultrafiltration membrane therein for filtering impurities, bacteria or viruses with a particle size of less than microns, wherein the water inlet of the main filter device is connected to the third hole of the second three-hole valve through a ninth pipeline, the hole of the main filter device is connected to the third hole of the fourth three-hole valve through a tenth pipeline, and the water outlet of the main filter device is connected to a wastewater collection container through an eleventh pipeline; a detector arranged in or beside the pool, the detector being used to detect data of temperature, water quantity, ammonia nitrogen content, ozone content, oxygen content, nitrate content and phosphate content of the pool; a controller connected to and controlling the opening and closing actions of the first three-hole valve, the second three-hole valve, the third three-hole valve, the first hole, the second hole and the third hole of the fourth three-hole valve, the controller being connected to the detector; and a cloud artificial intelligence (AI) system connected to the controller through the Internet, the cloud artificial intelligence system being used to simultaneously intelligently monitor and intelligently control the pool in multiple regions, wherein the cloud artificial intelligence system is used to learn and pre-train the scale size, water quantity, temperature, ammonia nitrogen content, ozone content, oxygen content, nitrate content and phosphate content of the pool, and the feeding species, and according to a pool deep learning algorithm, the controller is commanded to perform corresponding control actions to optimize the environment of the pool; ​ When in the filtration mode, sewage in the pool is filtered by the pre-filter, then enters the water inlet of the main filter core device through the first and second three-way valves, and is filtered by the ultrafiltration membrane in the main filter core device, and finally flows into the pool through the hole and the fourth three-way valve. When in the backwashing mode, tap water supplied by the tap water supply device flows through the third and fourth three-way valves, enters the main filter core device through the hole, and backwashes the ultrafiltration membrane.

2. The artificial intelligence driven ultrafiltration sterile recirculating water system of claim 1, wherein: When in the water replenishment mode, the tap water supplied by the tap water supply device flows through the third and second three-way valves, and then flows into the pool through the hole and the fourth three-way valve.

3. The ultrafiltered sterile recirculating water system driven by artificial intelligence of claim 2, wherein: The filtration mode, the backwashing mode, and the water replenishment mode can only operate one mode at the same time, and the cloud artificial intelligence system determines which one of the filtration mode, the backwashing mode, and the water replenishment mode to start according to the data detected by the detector.

4. The artificial intelligence driven ultrafiltration sterile recirculating water system of claim 1, wherein: The pre-filter is used to filter impurities of micron size or larger.

5. The artificial intelligence driven ultrafiltration sterile recirculating water system of claim 1, wherein: Further comprising: An ultrasonic generator connected to the controller, which generates ultrasonic waves to remove impurities, bacteria, or viruses on the ultrafiltration membrane when in the backwashing mode.

6. The artificial intelligence driven ultrafiltration sterile recirculating water system of claim 1, wherein: Further comprising: A feeder connected to the controller, which feeds the pool according to the instructions of the controller; And An ozone machine connected to the controller, which generates ozone into the pool according to the instructions of the controller, wherein the cloud artificial intelligence system controls the operation of the feeder and the ozone machine according to the data detected by the detector.

7. The ultrafiltered sterile recirculating water system driven by artificial intelligence of claim 3, wherein: When in the filtration mode or in the water replenishment mode, the tap water flows out of the fourth three-way valve and enters an ion exchange resin section to further remove all harmful ions, and then enters the pool, wherein the ion exchange resin section has ammonia nitrogen, nitrate, and phosphate.

8. The artificial intelligence driven ultrafiltration sterile recirculating water system of claim 1, wherein: The cloud artificial intelligence (AI) system comprises: A database unit having relevant data of the size of the pool, water quantity, temperature, ammonia nitrogen content, ozone content, oxygen content, nitrate content, and phosphate content, and species of the aquatic animals, wherein the database unit is connected to a cloud platform through the Internet to update relevant data online; A learning and training unit connected to the database unit, which learns and pre-trains through the pool deep learning algorithm and according to the relevant data in the database unit; A parameter optimization setting unit connected to the database unit, which optimizes the setting of the pool environment according to the relevant data of the size of the pool, water quantity, temperature, ammonia nitrogen content, ozone content, oxygen content, nitrate content, and phosphate content, and species of the aquatic animals; a condition limiting unit connected to the learning and training unit, the condition limiting unit being configured to limit learning bias of the cloud artificial intelligence system by setting a plurality of conditions; and an AI model processing unit connected to the learning and training unit and the parameter optimization setting unit, the AI model processing unit being configured to learn and train an AI model by the learning and training unit, wherein the AI model processing unit is an AI brain of the cloud artificial intelligence system.

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