Intelligent aquaculture monitoring system based on Internet of Things

Abstract

The invention belongs to the technical field of aquaculture, and discloses an intelligent aquaculture monitoring system based on the Internet of Things. The intelligent aquatic product management system comprises an application layer, a network layer and a sensing layer. Wherein the sensor nodes in the sensing layer are mainly responsible for collecting environmental parameters of a monitoring area. And the cloud platform is mainly used for receiving and processing various monitoring data, analyzing the water quality condition by using the monitoring data and forming a data monitoring report. The control and communication device node mainly aims at the state of a sensor, and reports parameters collected by the sensor to the cloud platform in various modes such as NB-lot and WIFI. The parameters, the historical curve, the real-time water quality condition and the like of the breeding environment can be displayed at any time through the mobile phone APP, and meanwhile, related equipment of the farm can be managed and remotely controlled in real time through the mobile phone APP. The system can achieve the real-time omnibearing monitoring of the aquaculture environment of the user, remarkably improves the aquaculture efficiency, and is suitable for popularization.

Description

Technical Field

[0001] The present invention belongs to the technical field of intelligent aquaculture, and relates to an intelligent aquaculture monitoring system based on the Internet of Things, which realizes efficient functions such as on-line water quality monitoring, intelligent linkage control of aquaculture machinery, and automated aquaculture during the aquaculture process. Background Art

[0002] China is a major aquaculture country. With the development of the national economy, people's living standards have been greatly improved. At the same time, the demand for aquatic products is increasing, and the quality requirements for aquatic products are also getting higher and higher.

[0003] At present, in China's aquaculture industry, there are generally problems such as high breeding density, high breeding risk, deteriorating water sources year by year, over-reliance on experience in breeding technology, and limitations of water quality detection tools that cannot meet all-round monitoring and precise intelligent control.

[0004] In order to effectively improve the breeding environment and the quality requirements of aquatic products, it is necessary to improve the traditional breeding mode and design a set of efficient, scientific, ecological and safe breeding plans. The current rapid development of emerging technologies such as the Internet of Things and cloud computing provides an opportunity for the development of the aquaculture industry. Summary of the Invention

[0005] In order to solve the problems existing in the background art, the present invention proposes an intelligent aquaculture monitoring system based on the Internet of Things to realize the characteristics of difficult real-time monitoring of important parameters such as dissolved oxygen value, water level, water temperature, water quality pH value and surrounding environment in aquaculture.

[0006] An intelligent aquaculture monitoring system based on the Internet of Things, characterized by including the following steps:

[0007] S1: The intelligent aquaculture monitoring system mainly consists of an application layer, a network layer and a perception layer;

[0008] S2: The application layer mainly includes a cloud platform, a web page end and a mobile APP end;

[0009] S3: The network layer includes ZigBee protocol, 4G / 5G network protocol and WIFI protocol;

[0010] S4: Among them, the ZigBee protocol and the WIFI protocol are mainly responsible for controlling the data transmission of sensor nodes to the router gateway for transfer, and then uploading the data to the server through the 4G / 5G network protocol, and finally pushing the data to the client by the server;

[0011] S5: The perception layer is mainly composed of sensor nodes, and the sensor nodes include an MCU controller, various environmental sensors, relay switches and communication modules, etc.;

[0012] S6: By taking online samples, measuring, and analyzing data, the aquaculture water quality can be better understood. Under automatic real-time monitoring, the dissolved oxygen (DO) value, water temperature, conductivity, pH value, etc. of the aquaculture water quality can be grasped.

[0013] S7: Referring to the monitoring results, the development trend curve of the water quality can be better obtained. When the actual parameters are almost close to the set values, an alarm will be issued immediately.

[0014] S8: Regarding the viewing of the monitoring results, it can be done through the computer terminal, mobile APP, etc. The large screen enables farmers to grasp the water quality situation at any time and place by means of information technologies such as mobile phones and large screens.

[0015] S9: This intelligent aquaculture management system also has an automatic control function. It can remotely monitor the status of equipment such as bait feeders and aerators. After setting the parameter values in advance, the system will automatically start the aerator, bait feeder, and water pump. Aquaculture management personnel can also choose corresponding automatic, manual, and timed control modes according to actual needs through mobile phones and computers.

[0016] S10: Once the aquaculture water quality deteriorates, a real-time alarm can be received, and effective measures can be taken to minimize the losses.

[0017] S11: The design of the safety traceability function mainly aims to ensure food safety and monitor all aspects related to production and aquaculture, such as fry stocking, medication, feed feeding, fishing, etc. By recording the inspection reports of aquatic products and QR codes, safety guarantees are provided for consumers' purchases.

[0018] S12: Consumers can scan the QR code to directly obtain information about the aquatic products, which has the same effect as an "ID card". This mode can also greatly help farmers establish their own brands.

[0019] Furthermore, the ZigBee in S3 belongs to local area network technology and is a wireless communication technology with low power consumption, low cost, and high reliability.

[0020] Furthermore, the Linux operating system and Qt program interface are selected to manage the ARM embedded gateway. Users can view data and monitoring videos in real time online through mobile APPs, computer device terminals, etc., and can also remotely send instructions to control relevant devices.

[0021] Furthermore, the dominant wireless sensor network technology ZigBee of the Internet of Things is used to implement data collection and control functions, and the embedded ARM gateway technology is used to implement local area network access and control functions, 4G / 5G network remote access and remote control functions, video monitoring functions, data display functions, and emergency warning and prevention and control functions.

[0022] Among them, each sensor node adopts the design concept of a floating buoy to fix it at the sampling position in the fish pond. At the same time, a micro solar panel and a 5V battery are used to provide power for each ZigBee node, preventing the power cord of wired transmission from leaking electricity due to long-term operation in a harsh environment.

[0023] Finally, the VR real-scene monitors the fish pond environment to ensure that farmers can monitor the situation of the fish pond in real time through the remote client, realizing a visual and vivid human-computer interaction platform.

[0024] An intelligent aquaculture monitoring system based on the Internet of Things developed by using advanced monitoring technologies in the Internet of Things, combining various all-round detection and control methods, realizes real-time monitoring of water quality and intelligent linkage control of all-round aquaculture machinery during the aquaculture process, thereby effectively reducing the harm to aquaculture, improving the output of aquaculture, and meeting the quality requirements of aquatic products. Brief Description of the Drawings

[0025] Figure 1 It is the system composition block diagram of the present invention;

[0026] Figure 2 It is the system working block diagram of the present invention;

[0027] Figure 3 It is the data monitoring and control panel diagram of one of the sensor nodes; Detailed Embodiment

[0028] To make the above objects, working modes, technical routes and advantages of the relevant algorithms of the present invention clearer and more understandable, the present invention will be further described in detail below in conjunction with the drawings and specific embodiments.

[0029] It should be noted that the following detailed descriptions are all exemplary and are intended to provide further explanations of the present invention.

[0030] As Figure 1 shown, this embodiment provides an intelligent aquaculture monitoring system based on the Internet of Things. The system composition block diagram includes an application layer, a network layer, and a perception layer.

[0031] The described application layer is used for:

[0032] Receiving the data uploaded by the underlying network layer and issuing relevant control instructions, analyzing and processing the data to make the data visual, enabling human-computer interaction and emergency warning and prevention and control.

[0033] The described network layer is used for:

[0034] Receive the collected data from the perception layer through the ZigBee protocol local area network and issue relevant control instructions as a transfer station, drive the 4G / 5G communication module to maintain communication with the application layer, and be responsible for functions such as video monitoring and warning evacuation of the aquaculture environment.

[0035] The described perception layer is used for:

[0036] Take online samples, measure and analyze data to better grasp the aquaculture water quality situation. Under automatic real-time monitoring, the dissolved oxygen DO value, water temperature, conductivity, pH value, etc. of the aquaculture water quality can be grasped.

[0037] It also has an automatic control function, which can realize remote monitoring of equipment such as bait feeders and aerators. After setting the parameter values in advance, the system will automatically start the aerator, bait feeder, and water pump.

[0038] Such as Figure 2 shown, is a working block diagram of an intelligent aquaculture monitoring system based on the Internet of Things.

[0039] First, wait for the system software and hardware initialization and the communication network establishment to be completed. Each sensor in the perception layer starts to collect, save, and upload environmental-related data. All sensor data arrives at the coordinator for aggregation and processing, and then is uploaded to the server through the Ethernet interface. The server pushes the relevant data information to the client.

[0040] Then, the user clicks the control button through the client, and the control instruction is sent to the server. After being processed and distributed by the coordinator, the control instruction arrives at the sensor sub-node to be controlled to complete. The sub-node parses the instruction content and finally completes the relay control of the relevant equipment.

[0041] Such as Figure 3 shown, is a data monitoring and control panel diagram of one of the sensor nodes.

[0042] Under this panel, the user can set the sampling period of the aquaculture environment data, view the historical waveform of the sensor-collected data, control the relay switches of the aerator, feeder, and inlet and outlet water machine, as well as the relevant sound and light control.

[0043] S1: This intelligent aquaculture monitoring system mainly consists of an application layer, a network layer, and a sensing layer.

[0044] S2: The application layer mainly includes a cloud platform, a web page end, and a mobile APP end.

[0045] S3: The network layer includes the ZigBee protocol, the 4G / 5G network protocol, and the WIFI protocol.

[0046] S4: Among them, the ZigBee protocol and the WIFI protocol are mainly responsible for controlling the data transmission of sensor nodes to the router gateway for transfer, and then uploading the data to the server through the 4G / 5G network protocol, and finally pushing the data to the client by the server.

[0047] S5: The sensing layer is mainly composed of sensor nodes, and the sensor nodes include an MCU controller, various environmental sensors, relay switches, communication modules, etc.

[0048] S6: By sampling, measuring, and analyzing data online, the water quality of aquaculture can be better grasped. Under the condition of automatic real-time monitoring, the dissolved oxygen DO value, water temperature, conductivity, pH value, etc. of the aquaculture water quality can be grasped.

[0049] S7: Referring to the monitoring results, the development trend curve of water quality can be better obtained. When the actual parameters are almost close to the set values, an alarm will be issued immediately.

[0050] S8: For viewing the monitoring results, it can be done through the computer terminal, mobile APP, etc. The large screen enables farmers to master the water quality situation at any time and place by means of information technologies such as mobile phones and large screens.

[0051] S9: The intelligent aquaculture management system also has an automatic control function, which can remotely monitor the operation of equipment such as bait feeders and aerators. After setting the parameter values in advance, the system will automatically start the aerator, bait feeder, and water pump. Aquaculture management personnel can also choose corresponding automatic, manual, and timing control modes according to actual needs by means of mobile phones and computers.

[0052] S10: Once the aquaculture water quality deteriorates, a real-time alarm can be received, and effective measures can be taken to minimize the losses.

[0053] S11: The design of the safety traceability function mainly serves to ensure food safety and monitor all aspects related to production and aquaculture, such as fry stocking, medication, feed feeding, fishing, etc. By recording the inspection reports of aquatic products and QR codes, safety guarantees are provided for consumers' purchases.

[0054] S12: Consumers can scan the QR code to directly obtain information about aquatic products, which has the same effect as an "ID card". This mode can also help farmers establish their own brands to a great extent.

[0055] The above is only the preferred implementation mode of the present invention. In addition, for those of ordinary skill in the art in this technical field, various changes and modifications can be made to the invention while maintaining the principle of the present invention. If the modifications and variations fall within the scope of the claims of the present invention and their equivalent technologies, these modifications and variations should also be regarded as within the protection scope of the present invention.

Claims

1. An intelligent aquaculture monitoring system based on the Internet of Things, characterized in that, Including: S1: The intelligent aquaculture monitoring system mainly consists of an application layer, a network layer, and a sensing layer; S2: The application layer mainly includes a cloud platform, a web page terminal, and a mobile APP terminal; S3: The network layer includes ZigBee protocol, 4G / 5G network protocol, and WIFI protocol; S4: Among them, the ZigBee protocol and the WIFI protocol are mainly responsible for controlling the data transmission of sensor nodes to the router gateway for transfer, and then uploading the data to the server through the 4G / 5G network protocol, and finally pushing the data to the client by the server; S5: The sensing layer is mainly composed of sensor nodes, and the sensor nodes include an MCU controller, various environmental sensors, relay switches, and communication modules, etc.; S6: By online sampling, measuring, and analyzing data, the aquaculture water quality situation can be better grasped. Under the condition of automatic real-time monitoring, the dissolved oxygen DO value, water temperature, conductivity, pH value, etc. of the aquaculture water quality can be grasped; S7: Referring to the monitoring results, the water quality development trend curve can be better obtained. When the actual parameters are almost close to the set values, an alarm will be issued immediately; S8: For viewing the monitoring results, it can be done through a computer terminal, a mobile APP, etc. The large screen enables farmers to grasp the water quality situation at any time and anywhere by means of information technologies such as mobile phones and large screens; S9: The intelligent aquaculture management system also has an automatic control function, which can remotely monitor the conditions of equipment such as bait feeders and aerators. After setting the parameter values in advance, the system will automatically start the aerator, bait feeder, and water pump. Aquaculture management personnel can also choose corresponding automatic, manual, and timed control modes according to actual needs by means of mobile phones and computers; S10: Once the aquaculture water quality deteriorates, a real-time alarm can be received, and effective measures can be taken to minimize the losses; S11: The design of the safety traceability function mainly serves to ensure food safety and monitor all aspects related to production and aquaculture, such as fry stocking, medication, feed feeding, fishing, etc. By recording the inspection reports of aquatic products and QR codes, safety guarantees are provided for consumers to purchase; S12: Consumers can scan the QR code to directly obtain information about aquatic products, which has the same effect as an "ID card". This mode can also help farmers establish their own brands to a large extent; 2. The method according to claim 1, wherein The ZigBee in S3 belongs to local area network technology and is a low-power, low-cost, and highly reliable wireless communication technology.

3. The method according to claim 1, wherein The chip model of the MCU in S5 is CC2530, which is a system-on-chip solution for 2.4-GHz IEEE802.15.4, ZigBee, and RF4CE applications.

4. The method according to claim 1, wherein The Linux operating system and the Qt program interface are selected to manage the ARM embedded gateway. Users can view data and monitoring videos in real time online through mobile APPs, computer device terminals, etc., and can also remotely send instructions to control related devices.

5. The method according to claim 1, wherein The described embedded ARM gateway technology realizes functions such as local area network access and control, 4G / 5G network remote access and remote control, video monitoring, data display, and emergency warning and prevention and control.

6. The method according to claim 5, wherein The described system forms a wireless sensor network through the ZigBee protocol to transmit data such as dissolved oxygen value, water level, water temperature, water quality, etc. collected by each ZigBee node and control devices such as aerators, inlet and outlet valves, and feeders.

7. The method according to claim 6, wherein The described ZigBee nodes are arranged in a mesh structure in the aquaculture environment to achieve the reliability and comprehensiveness of data collection and acquisition.

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