Factory-like intelligent aquaculture system, method, equipment, medium and product

Abstract

The invention discloses an industrial intelligent aquaculture system, method, device, medium and product, and relates to the technical field of recirculating aquaculture, the system comprises a recirculating aquaculture infrastructure, a programmable logic controller (PLC), a data transmission unit (DTU), a network video recorder and a server; a water quality sensor group, an environment sensor group, a working condition sensor group, an underwater camera and an overwater camera are arranged, field data of an aquaculture system are acquired through data acquisition equipment, the acquired data are sent to a PLC, the PLC receives the data and then sends the data to a server through a DTU, and the server determines a control decision, such as whether the operation state of each infrastructure is changed or not. The operation states of the devices and how to change are sent to the PLC through the DTU, and the PLC controls the operation states of the devices, so that the operation states of the devices are automatically controlled, and the breeding efficiency of the recirculating aquaculture system is improved.

Description

Technical Field

[0001] The present application relates to the technical field of recirculating aquaculture, and particularly to an industrial intelligent aquaculture system, method, equipment, medium and product for aquatic products. Background Art

[0002] Recirculating aquaculture is an intensive and efficient aquaculture mode, which is an important direction for the transformation and upgrading and green development of aquaculture in China. The production links in recirculating aquaculture include physical filtration, biochemical reaction, oxygenation and temperature control, disinfection and sterilization, etc. It is necessary to comprehensively apply technologies in cross fields such as aquaculture, facility agricultural equipment, and artificial intelligence to realize the digital representation and intelligent control of the water quality environment, cultured fish, operation equipment, and energy power in recirculating aquaculture.

[0003] At present, the recirculating aquaculture system includes infrastructure such as aquaculture ponds, vertical flow sedimentation tanks, microfilters, nitrification ponds, and buffer ponds, as well as auxiliary equipment installed on each infrastructure, such as centrifugal pumps, submersible pumps, oxygen generators, air pumps, etc. Each device is connected through pipelines or other components; further, valves for controlling the pipeline switches are also provided on the pipelines. When the aquaculture system is working, first, water is injected into the aquaculture pond through a submersible pump, and then the water in the aquaculture pond sequentially passes through the vertical flow sedimentation tank, microfilter, nitrification pond, and buffer pond, and then returns to the aquaculture pond again to realize the recycling of aquaculture water. When a certain device in the aquaculture system fails and causes the aquaculture system to malfunction, the staff shuts down each device for maintenance.

[0004] As can be seen from the above content, although the prior art has realized the recycling of aquaculture water, the control of the entire aquaculture process still requires too much manual participation and has a low degree of intelligence, resulting in low aquaculture efficiency. Summary of the Invention

[0005] The purpose of the present application is to provide an industrial intelligent aquaculture system, method, equipment, medium and product for aquatic products to solve the problem of low aquaculture efficiency described in the background art.

[0006] To achieve the above purpose, the present application provides the following solutions: In a first aspect, the present application provides an industrial intelligent aquaculture system for aquatic products, including: a recirculating aquaculture infrastructure, a programmable logic controller PLC, a data transmission unit DTU, a network video recorder, and a server; The recirculating aquaculture infrastructure includes: an aquaculture pond, a vertical flow sedimentation tank, a microfilter, an ultraviolet germicidal lamp, a nitrification pond, an air source heat pump, and a buffer pond, which are sequentially connected in the direction of the flowing recirculating aquaculture water and form a closed loop; Each of the infrastructures is connected through pipelines, and electric valves are installed at predetermined positions of each pipeline; A centrifugal pump is arranged between the ultraviolet germicidal lamp and the nitrification tank; An air pump connected to the nitrification tank is installed outside the nitrification tank; An oxygen generator connected to the buffer tank is installed outside the buffer tank; A water quality sensor group and an underwater camera are installed in the aquaculture water of the aquaculture tank, and an above-water camera is installed above the surface of the aquaculture water; An environmental sensor group is installed in the air in the area where the aquaculture tank is located; The microfilter, ultraviolet germicidal lamp, air source heat pump, centrifugal pump, air pump and oxygen generator are equipped with a working condition sensor group; The water quality sensor group, the environmental sensor group, the working condition sensor group, the microfilter, the ultraviolet germicidal lamp, the air source heat pump, the centrifugal pump, the air pump, the oxygen generator and the electric valve are signal-connected to the PLC, the PLC is signal-connected to the DTU, and the DTU is signal-connected to the server; The above-water camera and the underwater camera are signal-connected to the network video recorder, and the network video recorder is signal-connected to the server; The server is used to analyze the timing data sent by the DTU and the image data sent by the network video recorder to generate a control decision, and the control decision is used to control the operating states of the devices.

[0007] Optionally, the water quality sensor group includes: a dissolved oxygen sensor, a temperature sensor, a pH sensor, a COD sensor, an ORP sensor, a conductivity sensor, a turbidity sensor, an ammonia nitrogen sensor, a nitrate sensor, a nitrite sensor, a residual chlorine sensor and a liquid level sensor, and each sensor included in the water quality sensor group is signal-connected to the PLC.

[0008] Optionally, the environmental sensor group includes: a temperature sensor, a humidity sensor, a carbon dioxide sensor, a sound sensor, a light sensor, and the temperature sensor, the humidity sensor, the carbon dioxide sensor, the sound sensor and the light sensor are signal-connected to the PLC.

[0009] Optionally, the working condition sensor group includes a smart electric meter, a current sensor and a vibration frequency sensor, and the smart electric meter, the current sensor and the vibration frequency sensor are signal-connected to the PLC.

[0010] Optionally, suspended matter sensors are installed at the water inlet of the upflow sedimentation tank, the water inlet of the microfilter and the water outlet of the microfilter, and the suspended matter sensors are signal-connected to the PLC.

[0011] Optionally, the aquaculture system further includes a reservoir and a sewage discharge tank; the reservoir is connected to the aquaculture pond; the sewage discharge tank is connected to the sewage discharge outlets of the aquaculture pond, the upflow sedimentation tank, the microfilter, the nitrification tank, and the buffer tank; Install fluid flow meters at the water outlet of the reservoir, the water inlet of the sewage discharge tank, the water outlet of the aquaculture pond, and the water outlet of the nitrification tank, and the fluid flow meters are signal-connected to the PLC.

[0012] In a second aspect, the present application provides an intelligent aquaculture method for industrialized aquaculture, which is applied to the intelligent aquaculture system for industrialized aquaculture according to any one of the first aspects and is executed by a server, including: Obtain time-series data, which is used to characterize the water quality situation, environmental situation, and operating conditions of each device in the recirculating aquaculture system; Obtain image data, which is used to reflect the aquaculture population situation on the water surface of the aquaculture pond and the aquaculture object situation under the water surface of the aquaculture pond; Send the time-series data and the image data to a pre-trained intelligent decision-making model, so that the intelligent decision-making model conducts comprehensive decision-making analysis based on the time-series data and the image data, outputs a decision result, and returns the decision result to the intelligent management and control platform; Send the decision result to each device.

[0013] In a third aspect, the present application provides a computer device, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, and the processor executes the computer program to implement the steps of the method described in the second aspect above.

[0014] In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the method described in the second aspect above are implemented.

[0015] In a fifth aspect, the present application provides a computer program product, including a computer program, and when the computer program is executed by a processor, the steps of the method described in the second aspect above are implemented.

[0016] According to the specific embodiments provided by the present application, the following technical effects are disclosed by the present application: The factory aquaculture intelligent breeding system provided by the embodiments of the present application. The embodiments of the present application provide the above-mentioned factory aquaculture intelligent breeding system. The system includes a water quality sensor group, an environment sensor group, a working condition sensor group, an underwater camera, and an above-water camera. The on-site data of the breeding system is collected by the data collection devices therein and sent to the PLC. After receiving the data, the PLC sends it to the server through the DTU. The server determines the control decision, such as whether to change the operating status of each infrastructure and how to change it, and sends it to the PLC through the DTU. The PLC controls the operating status of each device, thereby automatically controlling the operating status of each device and further improving the breeding efficiency of the recirculating aquaculture system. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required to be used in the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0018] Figure 1 Schematic diagram of a factory aquaculture intelligent breeding system provided by an embodiment of the present application; Figure 2 Schematic diagram of another factory aquaculture intelligent breeding system provided by an embodiment of the present application; Figure 3 Schematic diagram of another factory aquaculture intelligent breeding system provided by an embodiment of the present application; Figure 4 Schematic flow chart of a factory aquaculture intelligent breeding method provided by another embodiment of the present application; Figure 5 Schematic diagram of the structure of a computer device provided by an embodiment of the present application.

[0019] Among them, breeding pond 1; vertical flow sedimentation tank 2; microfilter 3; ultraviolet germicidal lamp 4; nitrification tank 5; air source heat pump 6; buffer tank 7; fluid flowmeter 8; electric valve 9; centrifugal pump 10; suspended solid sensor 11; environment sensor group 12; overflow port 13; above-water camera 14; underwater camera 15; water quality sensor group 16; bottom drain port 17; submersible pump 18; air pump 19; PC terminal 20; mobile terminal 21; intelligent decision-making model 22; intelligent management and control platform 23; working condition sensor 24; oxygen generator 25; programmable logic controller PLC 26; data transmission unit DTU 27; network video recorder 28; server 29; mobile terminal 30. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0020] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present application without creative efforts belong to the scope of protection of the present application.

[0021] To make the above objects, features, and advantages of the present application more obvious and understandable, the present application will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0022] Glossary: A Programmable Logic Controller (PLC for short), with the full English name of Programmable Logic Controller, is a digital computer designed specifically for industrial environments and is used to control machinery or production processes. It realizes functions such as logic control, sequential control, timing, counting, and arithmetic operations through programming.

[0023] A Data Transfer Unit (DTU for short), with the full English name of Data Transfer Unit, is a device for remote data transmission and is widely used in fields such as the Internet of Things (IoT), industrial automation, and remote monitoring. The DTU transmits data from on-site devices to a central control system or a cloud platform via wireless or wired means.

[0024] A Network Video Recorder (NVR for short) is a device used in a video surveillance system and is mainly used to receive, store, and manage video data from network cameras. Different from traditional Digital Video Recorders (DVRs), NVRs specifically process digital video streams transmitted through the network.

[0025] The embodiments of the present application provide an intelligent aquaculture system for factory aquaculture, as Figure 1 shown, and in combination with Figure 3 , the system includes: a recirculating aquaculture infrastructure, a Programmable Logic Controller PLC26, a Data Transfer Unit DTU27, a Network Video Recorder 28, and a server 29.

[0026] The recirculating aquaculture infrastructure includes: a culture pond 1, a vertical flow sedimentation tank 2, a microfilter 3, an ultraviolet germicidal lamp 4, a nitrification tank 5, an air source heat pump 6, and a buffer tank 7, which are sequentially connected in the direction of the flow of the aquaculture circulating water and form a closed loop; Each of the infrastructures is connected by pipelines, and electric valves 9 are installed at predetermined positions on each pipeline; A centrifugal pump 10 is configured between the ultraviolet germicidal lamp 4 and the nitrification tank 5; An air pump 19 connected to the nitrification tank 5 is installed outside the nitrification tank 5; an oxygen generator 25 connected to the buffer tank 7 is installed outside the buffer tank 7; A water quality sensor group 16 and an underwater camera 15 are installed in the aquaculture water of the aquaculture pond 1, and an above-water camera 14 is installed above the surface of the aquaculture water; An environmental sensor group 12 is installed in the air in the area where the aquaculture pond 1 is located; The microfilter 3, ultraviolet germicidal lamp 4, air source heat pump 6, centrifugal pump 10, air pump 19 and oxygen generator 25 are equipped with a group of working condition sensors 24; The water quality sensor group 16, the environmental sensor group 12, the group of working condition sensors 24, the microfilter 3, the ultraviolet germicidal lamp 4, the air source heat pump 6, the centrifugal pump 10, the air pump 19, the oxygen generator 25 and the electric valve 9 are signal-connected to the PLC, the PLC is signal-connected to the DTU, and the DTU is signal-connected to the server 29; The above-water camera 14 and the underwater camera 15 are signal-connected to the network video recorder 28, and the network video recorder 28 is signal-connected to the server 29.

[0027] Among them, forming a closed loop can be understood as: the aquaculture pond 1, the vertical flow sedimentation tank 2, the microfilter 3, the ultraviolet germicidal lamp 4, the nitrification tank 5, the air source heat pump 6 and the buffer tank 7 are connected in sequence, and the water outlet of the buffer tank 7 is connected to the water inlet of the aquaculture pond 1.

[0028] Among them, the electric valve 9 is used to control the opening and closing of the pipeline where it is located. Further, the predetermined positions where the electric valve 9 is installed include: the water inlet of the aquaculture pond 1, the water outlet of the aquaculture pond 1, the water inlet of the centrifugal pump 10, the water outlet of the nitrification tank 5, etc.

[0029] Among them, the aquaculture pond 1 is used to raise aquaculture objects, and the aquaculture objects are placed in the aquaculture pond 1 for aquaculture. Further, the aquaculture pond 1 adopts a split-flow sewage discharge technology. A surface discharge port is arranged at the center of the upper surface of the aquaculture pond 1, a bottom discharge port 17 is arranged at the center of the lower surface, and an overflow port 13 is arranged on the side of the aquaculture pond 1. The surface discharge port is used to separate the surface oil film and floating residual baits, the bottom discharge port 17 is used to separate feces and particulate matters such as sinking residual baits, and the overflow port 13 is used to control the water level of the aquaculture pond 1 to prevent water body from overflowing due to too high water level.

[0030] Among them, the vertical flow sedimentation tank 2 is used to separate large particle solid suspended matters in the aquaculture tail water. The aquaculture tail water enters the vertical flow sedimentation tank 2 from top to bottom and slowly rises along the vertical flow sedimentation tank 2. After the solid suspended matters settle, they are discharged through the sewage discharge port at the bottom of the vertical flow sedimentation tank 2, and the filtered water body overflows from the upper water outlet.

[0031] Among them, the microfiltration machine 3 is used to separate the tiny solid suspended matters in the aquaculture tail water, realizing the solid-liquid separation of the aquaculture tail water. The microfiltration machine 3 can intercept the solid suspended matters in the water body. In addition, the microfiltration machine 3 is also equipped with an external high-pressure flushing water pump, which regularly backwashes and cleans the screen through the high-pressure flushing water pump and discharges sewage through the sewage outlet.

[0032] Among them, the ultraviolet germicidal lamp 4 is used for the physical ultraviolet sterilization of the aquaculture tail water. By destroying the nucleic acid and protein of microorganisms, their reproductive function is lost, and then the microorganisms die. Among them, the centrifugal pump 10 is used to pressurize the low-level water body treated by the ultraviolet germicidal lamp 4 to the high-level nitrification tank 5.

[0033] Among them, the nitrification tank 5 is used for biological filtration. The process of biological filtration is briefly summarized as follows: cultivating nitrifying bacteria; converting ammonia nitrogen and nitrite in the water body into nitrate by nitrifying bacteria, thereby reducing the ammonia nitrogen and nitrite in the water body, and thus reducing the harm of ammonia nitrogen and nitrite to the growth of aquaculture objects.

[0034] Among them, the air pump 19 is used to blow air into the nitrification tank 5 to promote the tumbling of the biological filler, providing sufficient oxygen for the nitrification reaction.

[0035] Among them, the air source heat pump 6 is used to heat the aquaculture water flowing through it to control the temperature of the aquaculture water body.

[0036] Among them, the buffer tank 7 is used to adjust the water quality of the aquaculture water.

[0037] Among them, the oxygen generator 25 is used to provide high-concentration oxygen into the buffer tank 7. After uniformly mixing the high-concentration oxygen with the aquaculture water in the buffer tank 7, the buffer tank 7 then conveys the uniformly mixed aquaculture water to the aquaculture pond 1. In this way, the water obtained by the aquaculture pond 1 is the aquaculture water in which oxygen is uniformly mixed in the water, thereby increasing the aquaculture density.

[0038] Among them, the water quality sensor group 16 is used to measure the water quality parameters in the aquaculture pond 1, and send the measurement data to the PLC. The PLC then sends the data to the DTU, and then it is transmitted to the server 29 by the DTU.

[0039] Among them, the environmental sensor group 12 is used to measure the air parameters in the area where the aquaculture pond 1 is located, and send the measurement data to the PLC. The PLC then sends the data to the DTU, and then it is transmitted to the server 29 by the DTU.

[0040] Among them, the working condition sensor group 24 is used to measure the operating conditions of the microfiltration machine 3, ultraviolet germicidal lamp 4, air source heat pump 6, centrifugal pump 10, air pump 19, and oxygen generator 25, and send the measurement data to the PLC. The PLC then sends the data to the DTU, and then it is transmitted to the server 29 by the DTU.

[0041] Among them, the water camera 14 is used to obtain group characteristics of the aquaculture objects, such as spatial distribution, movement trajectory, aggregation degree, feeding status, etc.

[0042] Among them, the underwater camera 15 is used to obtain individual characteristics of the aquaculture objects, such as body length, body width, body thickness, fin distribution, etc.

[0043] The image data collected by the water camera 14 and the underwater camera 15 are transmitted to the server 29 through the network video recorder 28.

[0044] Among them, an intelligent decision-making model 22 and an intelligent management and control platform 23 are installed in the server 29. The intelligent decision-making model 22 is used to analyze the decision-making results and send them to the intelligent management and control platform 23. The intelligent management and control platform 23 is used to manage the operating status of the infrastructure, such as performing management operations on each device included in the recirculating aquaculture system through the interface displayed on the platform.

[0045] The working process of the above-mentioned recirculating aquaculture system is as follows: The water quality sensor group 16 collects the water quality parameters in the aquaculture pond 1 and sends them to the PLC; The environmental sensor group 12 collects the air parameters in the area where it is located and sends them to the PLC; The working condition sensor 24 group collects the operating parameters of each device and sends them to the PLC; The water camera 14 collects the water surface images of the aquaculture pond 1 and sends them to the network video recorder 28, and the underwater camera 15 collects the underwater images of the aquaculture pond 1 and sends them to the network video recorder 28; The PLC sends the received water quality parameters, air parameters and operating parameters to the server 29, and the network video recorder 28 sends the received water surface images and underwater images to the server 29; The server 29 generates control instructions according to the water quality parameters, air parameters, operating parameters, water surface images and underwater images. The control instructions are transmitted to the PLC through the DTU. The control instructions include digital signals and analog signals. The PLC controls the start and stop of the microfilter 3, ultraviolet germicidal lamp 4, air source heat pump 6, centrifugal pump 10, air pump 19, and oxygen generator 25 through digital signals, and the PLC controls the opening degree of the electric valve 9 and the motor speed of the centrifugal pump 10 through analog signals, thus constituting an intelligent aquaculture control system for industrial aquaculture.

[0046] The embodiment of the present application provides the above-mentioned industrialized intelligent aquaculture system, which includes a water quality sensor group 16, an environmental sensor group 12, a working condition sensor group 24, an above-water camera 14 and an underwater camera 15. The on-site data of the aquaculture system are collected by these devices and sent to the PLC. After receiving the data, the PLC sends them to the server 29 through the DTU. The server 29 determines the control decisions, such as whether to change the operating states of various infrastructure facilities and how to change them, and sends them to the PLC through the DTU. The PLC controls the operating states of various devices, so as to automatically control the operating states of various devices, and further improve the aquaculture efficiency of the recirculating aquaculture system.

[0047] In addition, compared with the prior art, the present application also sets up an above-water camera 14 and an underwater camera 15 to collect the biological characteristics of the aquaculture objects in real time, so as to understand the growth conditions of the aquaculture objects in real time and take corresponding measures when the growth conditions are poor; further, a water quality sensor group 16, an environmental sensor group 12 and a working condition sensor group 24 are also set up to monitor the aquaculture water quality parameters, air environment parameters and equipment operating states in real time. In the present application, the parameters of various devices at the aquaculture system site, and multi-element data such as water quality, environment and working conditions are collected, providing complete aquaculture site data for this system, and an intelligent aquaculture algorithm is constructed according to the coupling and interaction relationship between the water quality environment, air environment and equipment operation, so that the server 29 gives a more reasonable control scheme, realizes precise water quality regulation and intelligent equipment management and control, and further improves the aquaculture efficiency of the recirculating aquaculture system.

[0048] In addition, in the present application, an electric valve 9 is also set up. The opening degree of the electric valve 9 can be controlled by the analog signal of the intelligent decision-making model 22, so as to control the opening and closing of the pipeline and the flow rate of the aquaculture system, and further realize the intelligent and unmanned aquaculture of the recirculating aquaculture system.

[0049] Optionally, referring to Figure 2 , the industrialized intelligent aquaculture system further includes a water storage tank, the water storage tank is equipped with a submersible pump 18, the water outlet of the submersible pump 18 is connected to the water inlet of the aquaculture pond 1, and the submersible pump 18 is signal-connected to the PLC.

[0050] Among them, the water storage tank is used to store water sources and supply water to the aquaculture pond 1.

[0051] Among them, the submersible pump 18 is used to transfer the water body in the water storage tank to the aquaculture pond 1.

[0052] Optionally, the industrialized intelligent aquaculture system further includes a sewage discharge tank, and the sewage discharge tank is connected to the sewage outlets of the aquaculture pond 1, the vertical flow sedimentation tank 2, the microfilter 3, the nitrification tank 5 and the buffer tank 7.

[0053] Among them, the sewage discharge pool is used to discharge the aquaculture water from the system when the system is changed.

[0054] Furthermore, the PLC will also receive the digital signals sent by the intelligent control platform 23, and control the start and stop of the submersible pump 18 through the digital signals.

[0055] Optionally, the predetermined positions where the electric valves 9 are installed also include: the drainage outlet of the aquaculture pond 1, the drainage outlet of the vertical flow sedimentation tank 2, the drainage outlet of the microfilter 3, the drainage outlet of the nitrification tank 5, the drainage outlet of the buffer tank 7, the water outlet of the water storage tank, etc.

[0056] Optionally, the microfilter 3 can adopt a drum microfilter 3 and a disc stack microfilter 3; Optionally, the water quality sensor group 16 includes: a dissolved oxygen sensor, a temperature sensor, a pH sensor, a COD sensor, an ORP sensor, a conductivity sensor, a turbidity sensor, an ammonia nitrogen sensor, a nitrate sensor, a nitrite sensor, a residual chlorine sensor, and a liquid level sensor, and each sensor included in the water quality sensor group 16 is signal-connected to the PLC.

[0057] The water quality sensor group 16 is installed in the aquaculture pond 1 for monitoring dissolved oxygen, temperature, pH, COD, ORP, conductivity, turbidity, ammonia nitrogen concentration, nitrate concentration, nitrite concentration, residual chlorine concentration, and liquid level height, and sending the monitored data to the PLC.

[0058] Optionally, the environmental sensor group 12 includes: a temperature sensor, a humidity sensor, a carbon dioxide sensor, a sound sensor, a light sensor, and the temperature sensor, humidity sensor, carbon dioxide sensor, sound sensor, and light sensor are signal-connected to the PLC.

[0059] The environmental sensor group 12 is used for monitoring air temperature, air humidity, carbon dioxide concentration, sound intensity, and light intensity, and sending the monitored data to the PLC.

[0060] Optionally, the working condition sensor group 24 includes an intelligent electricity meter, a current sensor, and a vibration frequency sensor, and the intelligent electricity meter, current sensor, and vibration frequency sensor are signal-connected to the PLC.

[0061] Among them, the intelligent electricity meter and the current sensor can be called the electrical sensor group.

[0062] Furthermore, the electrical sensor group is installed in the control cabinet for monitoring the voltage, current, instantaneous power, total electricity consumption of the system, and the working current of each device, and sending the monitored data to the PLC.

[0063] Among them, the vibration frequency sensor is installed on the equipment to detect the vibration frequency, such as the centrifugal pump 10, the air pump 19, and the oxygen generator 25, which is used to monitor the vibration frequency of the equipment during operation and send the monitored data to the PLC.

[0064] Optionally, suspended solid sensors 11 are installed at the water inlet of the upflow sedimentation tank 2, the water inlet of the microfilter 3, and the water outlet of the microfilter 3. The suspended solid sensors 11 are signal-connected to the PLC.

[0065] Among them, the suspended solid sensors 11 are used to monitor the concentration of suspended solids, thereby quantifying the operating conditions of the upflow sedimentation tank 2 and the microfilter 3, and sending the monitored data to the PLC.

[0066] Optionally, fluid flow meters 8 are installed at the water outlet of the reservoir, the water inlet of the sewage tank, the water outlet of the aquaculture pond 1, and the water outlet of the nitrification tank 5. The fluid flow meters 8 are signal-connected to the PLC.

[0067] The fluid flow meters 8 are used to monitor the total cumulative inflow water volume, the total cumulative outflow water volume, the instantaneous flow rate, the flow percentage, and the water body conductivity ratio, and send the monitored data to the PLC.

[0068] Optionally, there are two centrifugal pumps 10, one as a backup, so that when one of them fails, the other can be enabled in time to ensure the stable operation of the aquaculture system.

[0069] Optionally, the industrialized intelligent aquaculture system further includes a mobile terminal 30, and the mobile terminal 30 is signal-connected to the server 29.

[0070] An application program corresponding to the intelligent control platform 23 is installed in the mobile terminal 30, and staff can send control instructions to each infrastructure by opening this application program.

[0071] Among them, the mobile terminal 30 can be but is not limited to various desktop computers, laptop computers, smart phones, tablet computers, Internet of Things devices, and portable wearable devices. The Internet of Things devices can be smart speakers, smart TVs, smart air conditioners, smart in-vehicle devices, etc. The portable wearable devices can be smart watches, smart bracelets, head-mounted devices, etc.

[0072] Among them, the server 29 can be implemented by an independent server 29 or a server cluster composed of multiple servers 29, and can also be a cloud server 29.

[0073] In addition, in Figure 3Among them, each device in the industrialized aquatic intelligent farming system is displayed through the sensing layer, transmission layer, data processing layer, and application layer. Among them, the application layer also includes a control device and a mobile terminal 30. For the specific devices and connection relationships of each layer, please refer to Figure 3 and related descriptions.

[0074] In addition, other relevant content of the system embodiment can be referred to the following method embodiment, which will not be elaborated here.

[0075] In an exemplary embodiment, as Figure 4 shown, a method for industrialized aquatic intelligent farming is provided. This method is executed by a computer device, specifically, it can be executed alone by a computer device such as a server 29, or jointly executed by a terminal and a server 29. In the embodiments of the present application, taking this method applied to Figure 1 and Figure 2 the server 29 in it as an example for illustration, it includes the following steps 201 to 204: Step 201, obtaining time-series data, where the time-series data is used to characterize the water quality situation, environmental situation, and operating conditions of each device in the recirculating aquaculture system.

[0076] Among them, the time-series data is collected by a time-series data collection device and sent to a programmable logic controller PLC26, and then the PLC sends it to the server 29 through a DTU, and finally the server 29 stores it.

[0077] Among them, the time-series data collection device includes one or more of the water quality sensor group 16, environmental sensor group 12, working condition sensor 24 group, suspended solid sensor 11, and fluid flowmeter 8 mentioned in the system embodiment.

[0078] After the time-series data collection device collects the time-series data, it transmits it to the PLC through the RS485 interface and the Modbus protocol; the PLC transmits the time-series data to the DTU through the serial communication method of the RS485 interface and the Modbus RTU protocol, or through the Ethernet communication method of the RJ45 interface and the Modbus TCP protocol; the DTU transmits the time-series data to the intelligent management and control platform 23 through the 4G / 5G protocol and the MQTT protocol, and the intelligent management and control platform 23 stores the time-series data.

[0079] Step 202, obtaining image data, where the image data is used to reflect the farming group situation above the water in the farming pond and the farming object situation under the water in the farming pond.

[0080] The above-mentioned water camera 14 and underwater camera 15 are used to collect image data in the aquaculture pond 1. The water camera 14 and underwater camera 15 transmit the collected image data to the network video recorder 28 through the RJ45 interface and the ONVIF protocol; the network video recorder 28 transmits the image data collected from the water camera 14 and underwater camera 15 to the intelligent management and control platform 23 through the TCP / UDP protocol and the RTSP protocol, and the intelligent management and control platform 23 stores the image data.

[0081] Step 203: Send the timing data and the image data to a pre-trained intelligent decision-making model, so that the intelligent decision-making model comprehensively makes decision analysis based on the timing data and the image data, outputs a decision result, and returns the decision result to the intelligent management and control platform.

[0082] The decision result is used to control the operating states of the various devices in the recirculating aquaculture system.

[0083] Among them, the devices whose operating states need to be controlled include: electric valve 9, centrifugal pump 10, microfilter 3, air source heat pump 6, submersible pump 18, air pump 19, ultraviolet germicidal lamp 4, and oxygen generator 25.

[0084] Furthermore, the operating states of the various devices include start and pause. Further, for the electric valve 9, its operating state also includes the opening degree of the valve of the electric valve 9. By different opening degree sizes, the amount of water flowing into the corresponding device is restricted, achieving precise control to improve the recirculating aquaculture efficiency. For the centrifugal pump 10, the operating state also includes the motor speed. By precisely controlling the motor speed of the centrifugal pump 10, the precise control of the water volume is improved, thereby improving the recirculating aquaculture efficiency.

[0085] Exemplarily, for example, if the timing data detects that the water quality of the aquaculture water is too poor and the intelligent decision-making model 22 analyzes that all the aquaculture water needs to be replaced, then the decision result is to turn on the submersible pump 18 and turn on the electric valves 9 at the drainage outlet of the aquaculture pond 1 and the water outlet of the reservoir. If it is detected that the aquaculture water has been replaced, then the decision result is to pause the submersible pump 18 and close the electric valves 9 at the drainage outlet of the aquaculture pond 1 and the water outlet of the reservoir.

[0086] The intelligent management and control platform 23 opens the stored timing data and image data to the intelligent decision-making model 22 through the application programming interface API. The intelligent decision-making model 22 obtains data from the intelligent management and control platform 23 through the application programming interface API and returns the decision result to the intelligent management and control platform 23.

[0087] Furthermore, the intelligent decision-making model 22 extracts data features based on machine learning or deep learning methods, quantitatively analyzes the coupling interaction mechanism among water quality environment - cultured fish - operation equipment, and returns the intelligent decision-making results to the intelligent control platform 23 through the application programming interface API.

[0088] Optionally, the intelligent decision-making model 22 includes a water quality prediction model based on LSTM, an environment prediction model based on RNN, a working condition control model based on fuzzy control, a fish school feeding behavior analysis model based on ResNet, and an underwater fish body detection model based on YOLOv8.

[0089] Among them, the role of the water quality prediction model based on LSTM is to receive water quality parameters such as dissolved oxygen, temperature, pH, etc. collected by the water quality sensor group 16, and predict their long-term and short-term change trends according to the water quality parameters to ensure the timely regulation and stability of water quality.

[0090] Furthermore, the water quality prediction model based on LSTM introduces a spatio-temporal attention mechanism to enhance the feature extraction of water quality parameters in the spatial and temporal dimensions, so as to better meet the long-term and short-term prediction requirements of water quality parameters.

[0091] Among them, the role of the environment prediction model based on RNN is to receive environment parameters such as temperature, humidity, carbon dioxide concentration, etc. collected by the environment sensor group 12, and predict their long-term change trends according to the environment parameters to ensure the stability of the environment.

[0092] Among them, the role of the working condition control model based on fuzzy control is to receive working condition parameters such as working current, vibration frequency, etc. collected by the working condition sensor group 24, and adjust the operating state of the equipment according to the working condition parameters to ensure the stable operation of the equipment.

[0093] Among them, the role of the fish school feeding behavior analysis model based on ResNet is to receive the fish school feeding images collected by the water camera 14, analyze the characteristics of the fish school feeding state according to the feeding images, and classify the results into 4 categories: strong feeding, medium feeding, weak feeding, and no feeding.

[0094] Furthermore, the fish school feeding behavior analysis model based on ResNet introduces an attention mechanism module to enhance the attention to the fish school feeding characteristics and improve the analysis accuracy of the fish school feeding state.

[0095] Among them, the role of the underwater fish body detection model based on YOLOv8 is to receive the images collected by the underwater camera 15, detect fish individuals according to the underwater images, and monitor the growth state of the fish body.

[0096] Step 204, send the decision result to each device.

[0097] The intelligent management and control platform 23 transmits the intelligent decision-making results to the DTU through the 4G / 5G protocol and the MQTT protocol. The DTU transmits the intelligent decision-making results to the PLC through the above serial port communication or Ethernet communication. The PLC converts the intelligent decision-making results into control instructions and sends control instructions to the electric valve 9, centrifugal pump 10, microfiltration machine 3, air source heat pump 6, air pump 19, ultraviolet germicidal lamp 4, and oxygen generator 25 in the infrastructure through the RS485 interface and the Modbus protocol. That is, the devices in step 204 are devices such as the electric valve 9, centrifugal pump 10, microfiltration machine 3, air source heat pump 6, air pump 19, ultraviolet germicidal lamp 4, and oxygen generator 25.

[0098] Optionally, the decision-making result is sent to the mobile terminal 30 so that the mobile terminal 30 remotely controls the operating states of the devices in the recirculating aquaculture system.

[0099] Among them, the mobile terminal 30 can be the PC terminal 20 or the mobile terminal 21 (smartphone). The intelligent management and control platform 23 is connected to the mobile terminal 30 through the 4G / 5G protocol, thereby realizing the remote control of the above factory aquaculture intelligent farming system.

[0100] The embodiment of the present application provides the above factory aquaculture intelligent farming method. The method includes obtaining time series data and image data, and sending the time series data and image data to the intelligent decision-making model 22. The intelligent decision-making model 22 outputs a decision-making result, such as whether to change the operating states of each infrastructure and how to change, and sends it to the PLC through the DTU. The PLC controls the operating states of each device. Therefore, the present application can automatically control the operating states of each device, thereby improving the farming efficiency of the recirculating aquaculture system.

[0101] In addition, the embodiment of the method provides complete farming site data, so that the intelligent management and control platform 23 gives a more reasonable control scheme, thereby improving the farming efficiency of the recirculating aquaculture system.

[0102] In addition, other relevant contents of the method embodiment can be referred to the above system embodiment, which will not be elaborated here.

[0103] In an exemplary embodiment, a computer device is provided. The computer device can be a server or a terminal, and its internal structure diagram can be as Figure 5As shown in the figure. The computer device includes a processor, a memory, an input / output interface (Input / Output, abbreviated as I / O), and a communication interface. Among them, the processor, the memory, and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data related to industrialized aquaculture intelligent farming. The input / output interface of the computer device is used to exchange information between the processor and external devices. The communication interface of the computer device is used to communicate with external terminals through a network connection. When the computer program is executed by the processor, a method for industrialized aquaculture intelligent farming can be implemented.

[0104] Those skilled in the art can understand that Figure 5 the structure shown in the figure is only a block diagram of some structures related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0105] In an exemplary embodiment, a computer device is further provided, including a memory and a processor. A computer program is stored in the memory. When the processor executes the computer program, the steps in the above method embodiments are implemented.

[0106] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program. When the computer program is executed by the processor, the steps in the above method embodiments are implemented.

[0107] In an exemplary embodiment, a computer program product is provided, including a computer program. When the computer program is executed by the processor, the steps in the above method embodiments are implemented.

[0108] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in the present application are all information and data authorized by the user or fully authorized by all parties, and the collection, use, and processing of relevant data need to comply with relevant regulations.

[0109] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, in each of the embodiments provided in the present application, any reference to a memory, a database, or other media can include at least one of non-volatile and volatile memories. Non-volatile memories can include read-only memory (ROM), magnetic tapes, floppy disks, flash memories, optical memories, high-density embedded non-volatile memories, resistive random access memories (ReRAMs), magnetoresistive random access memories (MRAMs), ferroelectric random access memories (FRAMs), phase change memories (PCMs), graphene memories, etc. Volatile memories can include random access memory (RAM) or external cache memories, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0110] In each of the embodiments provided in the present application, the databases involved can include at least one of relational databases and non-relational databases. Non-relational databases can include distributed databases based on blockchain, etc., without limitation. In each of the embodiments provided in the present application, the processors involved can be general-purpose processors, central processors, graphics processors, digital signal processors, programmable logics, data processing logics based on quantum computing, etc., without limitation.

[0111] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope described in this specification.

[0112] In this article, specific examples are used to elaborate on the principles and implementation manners of the present application. The descriptions of the above embodiments are only used to help understand the methods and their core ideas of the present application; at the same time, for those of ordinary skill in the art, according to the ideas of the present application, there will be changes in the specific implementation manners and application scopes. In summary, the content of this specification should not be construed as a limitation to the present application.

Claims

1. An industrialized intelligent aquaculture system, characterized in that, Including: Recirculating aquaculture infrastructure, programmable logic controller (PLC), data transmission unit (DTU), network video recorder, server; The recirculating aquaculture infrastructure includes: a culture pond, a vertical flow sedimentation tank, a microfilter, an ultraviolet germicidal lamp, a nitrification tank, an air source heat pump, and a buffer tank, which are sequentially connected in the direction of the flowing recirculating aquaculture water and form a closed loop; Each of the infrastructures is connected by pipelines, and electric valves are installed at predetermined positions of each pipeline; A centrifugal pump is configured between the ultraviolet germicidal lamp and the nitrification tank; An air pump connected to the nitrification tank is installed outside the nitrification tank; an oxygen generator connected to the buffer tank is installed outside the buffer tank; A water quality sensor group and an underwater camera are installed in the aquaculture water of the culture pond, and an above-water camera is installed above the surface of the aquaculture water; An environmental sensor group is installed in the air in the area where the culture pond is located; The microfilter, ultraviolet germicidal lamp, air source heat pump, centrifugal pump, air pump, and oxygen generator are configured with a working condition sensor group; The water quality sensor group, the environmental sensor group, the working condition sensor group, the microfilter, ultraviolet germicidal lamp, air source heat pump, centrifugal pump, air pump, oxygen generator, and electric valve are signal-connected to the PLC, the PLC is signal-connected to the DTU, and the DTU is signal-connected to the server; The above-water camera and the underwater camera are signal-connected to the network video recorder, and the network video recorder is signal-connected to the server; The server is used to analyze the timing data sent by the DTU and the image data sent by the network video recorder to generate a control decision, and the control decision is used to control the operating states of each device.

2. The industrialized intelligent aquaculture system according to claim 1, wherein The water quality sensor group includes: a dissolved oxygen sensor, a temperature sensor, a pH sensor, a COD sensor, an ORP sensor, a conductivity sensor, a turbidity sensor, an ammonia nitrogen sensor, a nitrate sensor, a nitrite sensor, a residual chlorine sensor, and a liquid level sensor, and each sensor included in the water quality sensor group is signal-connected to the PLC.

3. The industrialized intelligent aquaculture system according to claim 1, characterized in that, The environmental sensor group includes: a temperature sensor, a humidity sensor, a carbon dioxide sensor, a sound sensor, a light sensor, and the temperature sensor, humidity sensor, carbon dioxide sensor, sound sensor, and light sensor are signal-connected to the PLC.

4. The industrialized intelligent aquaculture system according to claim 1, characterized in that, The working condition sensor group includes an intelligent electricity meter, a current sensor, and a vibration frequency sensor, and the intelligent electricity meter, current sensor, and vibration frequency sensor are signal-connected to the PLC.

5. The industrialized intelligent aquaculture system according to any one of claims 1-4, characterized in that, Suspended solid sensors are installed at the water inlet of the vertical flow sedimentation tank, the water inlet of the microfilter, and the water outlet of the microfilter, and the suspended solid sensors are signal-connected to the PLC.

6. The industrialized intelligent aquaculture system according to any one of claims 1-4, characterized in that The aquaculture system further includes a reservoir and a sewage discharge tank; the reservoir is connected to the culture pond; the sewage discharge tank is connected to the sewage outlets of the culture pond, vertical flow sedimentation tank, microfilter, nitrification tank, and buffer tank; Flow meters are installed at the water outlet of the reservoir, the water inlet of the sewage discharge tank, the water outlet of the culture pond, and the water outlet of the nitrification tank, and the flow meters are signal-connected to the PLC.

7. An intelligent aquaculture method for industrialized aquaculture, characterized in that, It is applied to the industrialized intelligent aquaculture system described in any one of claims 1-6 and is executed by a server, including: Obtaining time-series data, which is used to characterize the water quality situation, environmental situation and operating conditions of each device in the recirculating aquaculture system; Obtaining image data, which is used to reflect the breeding population situation on the water surface of the aquaculture pond and the breeding object situation under the water surface of the aquaculture pond; Sending the time-series data and the image data to a pre-trained intelligent decision-making model, so that the intelligent decision-making model makes a comprehensive decision analysis according to the time-series data and the image data, outputs a decision result, and returns the decision result to the intelligent control platform; Sending the decision result to each device.

8. A computer device, comprising: A memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor executes the computer program to implement the industrialized intelligent aquaculture method described in claim 7.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the industrialized intelligent aquaculture method described in claim 7.

10. A computer program product comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the industrialized intelligent aquaculture method described in claim 7.

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