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CN-121984961-A - Intelligent fishpond oxygenation monitoring system based on Internet of things

CN121984961ACN 121984961 ACN121984961 ACN 121984961ACN-121984961-A

Abstract

The invention provides an intelligent fishpond oxygenation monitoring system based on the Internet of things. The intelligent fishpond oxygenation monitoring system based on the Internet of things comprises a power supply module, a site monitoring module, a cloud service module and a user terminal power supply module. The intelligent fishpond oxygenation monitoring system based on the Internet of things improves abnormal response speed, reduces cultivation risk, reduces manual inspection cost by a video analysis algorithm unit, timely prevents property security risk, ensures information circulation of each module of the system by an instruction forwarding unit, supports remote control and alarm pushing, reduces data understanding threshold by a data visualization interface of a user terminal, improves management efficiency, shortens abnormal response time by an alarm management unit, reduces cultivation and property loss, meets requirements of intelligent and manual intervention by an equipment control unit, improves management flexibility, and provides data basis for cultivation scheme optimization and risk pre-judgment by a history data query unit to assist fine cultivation.

Inventors

  • LIANG XIAOBIN
  • WANG YUGUANG

Assignees

  • 苏州伯利恒水上设施工程有限公司

Dates

Publication Date
20260505
Application Date
20260112

Claims (10)

  1. 1. An intelligent fishpond oxygenation monitoring system based on the Internet of things is characterized by comprising a power supply module, a site monitoring module, a cloud service module and a user terminal The power module is used for providing continuous and stable power support for the whole field monitoring equipment; the on-site monitoring module comprises a main control unit, a data acquisition unit, a water quality monitoring unit, a meteorological monitoring unit, other auxiliary monitoring units, an execution unit, an image acquisition unit and a communication unit, and is used for comprehensively acquiring water quality, meteorological data and on-site pictures of the fishpond, realizing data uploading and instruction receiving after integrated processing, executing a control instruction issued by a cloud or a user and being a key hub for connecting the on-site equipment and the cloud service module; The cloud service module is used for helping an administrator to quickly know the state of the fish pond, timely receiving abnormal reminding, remotely and flexibly controlling equipment and tracing the breeding process data; the user terminal is used for storing system operation data, identifying environment and security anomalies and deciding, and realizing instruction intercommunication among the modules.
  2. 2. The intelligent fish pond oxygenation monitoring system based on the Internet of things according to claim 1, wherein the main control unit is used as a system core processing unit and is used for receiving data of each sensor, analyzing cloud server instructions and issuing control signals to an executing mechanism, the data acquisition unit is used for acquiring multidimensional environment parameters through different types of sensors, converting analog signals into digital signals and transmitting the digital signals to the main controller, the water quality monitoring unit is used for detecting concentration of dissolved oxygen in a water body in real time through an electrochemical or optical principle, the meteorological monitoring unit is used for detecting an environmental air pressure value through an air pressure sensitive element and assisting in judging a change trend of dissolved oxygen, the other auxiliary monitoring units are used for detecting temperature, pH value and turbidity of the water body through corresponding sensitive elements, the executing unit is used for receiving a start-stop instruction of the main controller, increasing contact area of the water body and air through impeller rotation and improving dissolved oxygen amount, the image acquisition unit is used for shooting a fish pond field picture through a camera and transmitting video stream to the main controller, and the communication unit is used for uploading field data/video stream to the cloud server through a wireless communication network and receiving cloud server instructions.
  3. 3. The intelligent fishpond oxygenation monitoring system based on the Internet of things, which is disclosed in claim 1, is characterized in that the cloud service module comprises a data storage unit, a data analysis and alarm unit, a video analysis algorithm unit and an instruction forwarding unit, wherein the cloud service module displays real-time and historical data stored by the cloud service module in the form of a chart and the like, receives alarm information of the cloud service module and reminds the alarm information in the form of sound and the like, provides an automatic device control mode and a manual device control mode, invokes the data of the cloud service module, and supports time inquiry.
  4. 4. The intelligent fishpond oxygenation monitoring system based on the internet of things according to claim 3, wherein the data storage unit is used for receiving and storing data such as environmental parameters, video streams and command logs uploaded on site, the data analysis and alarm unit is used for comparing the environmental parameters acquired in real time with a preset threshold value, if the environmental parameters exceed the threshold value, the data analysis and alarm unit triggers an alarm and generates a control command, the frequency analysis algorithm unit is used for analyzing behaviors such as personnel invasion and equipment abnormality in the video streams through an image recognition algorithm, and the command forwarding unit is used for receiving cloud analysis results or manual commands of users and forwarding the manual commands to corresponding terminals.
  5. 5. The intelligent fishpond oxygenation monitoring system based on the Internet of things, which is disclosed in claim 1, is characterized in that the user terminal comprises a data visualization interface, an alarm management unit, a device control unit and a historical data query unit, wherein the user terminal is used for receiving and storing information such as field data, video streams and the like, comparing real-time parameters with a threshold value, triggering an alarm and generating an instruction, identifying security anomalies through an image algorithm, and forwarding cloud analysis results or user instructions to corresponding terminals.
  6. 6. The intelligent fishpond oxygenation monitoring system based on the internet of things according to claim 5, wherein the data visualization interface is used for intuitively displaying real-time/historical data stored by a cloud server in the form of charts, numbers and the like, the alarm management unit receives alarm information pushed by the cloud server and reminds an administrator in the modes of sound, vibration, popup and the like, the equipment control unit provides an automatic mode and a manual mode, and the historical data query unit invokes the historical data stored by the cloud server to support time dimension query.
  7. 7. The intelligent fishpond oxygenation monitoring system based on the internet of things according to claim 1, wherein the cloud service module comprises an intelligent data storage and compression unit, an AI self-adaptive analysis and decision unit, a multidimensional anomaly identification unit, an instruction intelligent scheduling and priority processing unit and a cultivation scheme generation and optimization unit.
  8. 8. The intelligent fishpond oxygenation monitoring system based on the internet of things according to claim 7, wherein the cloud service module comprises an intelligent data storage and compression unit, a hierarchical storage architecture is adopted, high-frequency real-time data are temporarily stored at local edge nodes, historical data and key video clips are stored in a cloud encrypted mode, storage occupation is reduced through a lossless compression algorithm, data breakpoint continuous transmission and off-site backup are supported, the AI self-adaptive analysis and decision unit is based on a machine learning algorithm, historical culture data and environmental change rules are combined, parameter threshold values and oxygenation linkage logic are dynamically adjusted, multi-scene self-adaptive switching is supported, environmental parameter change trend is prejudged, early warning and control instructions are generated in advance, and the multi-dimensional anomaly recognition unit fuses three large recognition models of environmental parameter overrun recognition, video behavior analysis and equipment running state diagnosis, and misinformation is reduced through cross verification.
  9. 9. The intelligent fishpond oxygenation monitoring system based on the internet of things according to claim 7, wherein the intelligent instruction scheduling and priority processing unit establishes an instruction priority mechanism, guarantees high-priority instruction millisecond-level response through a 5G low-delay transmission channel, supports offline instruction caching, is automatically executed after network recovery, and the cultivation scheme generating and optimizing unit generates personalized cultivation suggestions based on historical data precipitation and an industry cultivation knowledge base, and supports user-defined cultivation scene templates through an A/B test continuous optimizing scheme.
  10. 10. The intelligent fish pond oxygenation monitoring system and method based on the Internet of things are characterized by comprising the intelligent fish pond oxygenation monitoring system based on the Internet of things as claimed in any one of claims 1-9, and the intelligent fish pond oxygenation monitoring system based on the Internet of things is used in a method requiring the intelligent fish pond oxygenation monitoring system based on the Internet of things, and comprises the following steps: The method comprises the steps of S1, deploying relevant equipment of a field monitoring module at a specified position of a fish pond, wherein the relevant equipment comprises a fixed main control unit, a water quality monitoring unit, a meteorological monitoring unit, other auxiliary monitoring units, an execution unit and an effective oxygenation area, wherein the fixed main control unit is used for installing the water quality monitoring unit to a water body, the other auxiliary monitoring units are used for installing the water body or the water body to the water body or the water body, the execution unit is arranged to the effective oxygenation area, the image acquisition unit is used for covering a key area of the fish pond, the communication unit is accessed, a power module is built and a mains supply interface is reserved, an administrator installs a user terminal on a mobile phone, and completes account registration and login, and the cloud service module and the field monitoring module are bound through the user terminal; The system comprises a main control unit, a water quality monitoring unit, a weather monitoring unit, a water quality monitoring unit, a water temperature monitoring unit, a pH value monitoring unit, a turbidity monitoring unit, a cloud service module, a power supply module, a system control unit, a communication unit and a control unit, wherein the main control unit is used for automatically switching to a power supply mode with solar energy as a main power source and commercial power as an auxiliary power source for supplying power to all equipment on site; The cloud service module comprises a data storage unit, a data analysis and alarm unit, a video analysis algorithm unit, a cloud end automatic generation unit and an execution unit, wherein the data storage unit of the cloud service module receives and stores uploaded environmental parameters, video streams and equipment operation logs, the data analysis and alarm unit compares the real-time environmental parameters with a preset threshold value to judge whether parameter overrun exists or not; S4, the cloud service module pushes alarm information to an alarm management unit of the user terminal through an instruction forwarding unit, reminds an administrator through a preset mode, if an automatic control condition is triggered, the control instruction is issued to a main control unit through a communication unit, the main control unit drives an execution unit to automatically start and stop, accurate oxygenation is completed, after the administrator checks the alarm information or real-time data of the user terminal, the administrator can select a manual mode through an equipment control unit, and directly issues an execution unit start and stop instruction, and the instruction is forwarded to a site main control unit through the cloud service module to be executed; S5, an administrator can check environmental parameter changes, alarm records and equipment operation logs according to time dimension through a historical data query unit of the user terminal, multiplex cultivation conditions and optimize parameter setting, periodically check the running state of field equipment, including the sensitivity of a water quality monitoring unit, a weather monitoring unit and other auxiliary monitoring units, the running state of an execution unit, the shooting angle of an image acquisition unit, the signal intensity of a communication unit, the cleanliness of a solar panel in a power module and the electric quantity of a storage battery, ensure the stable running of the system, and adjust the configuration of environmental parameter thresholds, automatic control logic and the like in the user terminal according to cultivation requirements.

Description

Intelligent fishpond oxygenation monitoring system based on Internet of things Technical Field The invention relates to the technical field of intelligent fishpond oxygenation monitoring, in particular to an intelligent fishpond oxygenation monitoring system based on the Internet of things. Background The intelligent fishpond is an aquaculture system which realizes automatic and accurate management by using modern technology. The system automatically adjusts the oxygenation equipment, the bait casting machine and the water quality purifying device according to preset parameters, so as to ensure that the water body environment always maintains the optimal state. The method can not only improve the cultivation efficiency and the yield, but also reduce the manual intervention and the management cost, effectively prevent the disease transmission and realize a sustainable ecological cultivation mode. The intelligent fishpond oxygenation monitoring system monitors the dissolved oxygen amount of the water body in real time through the sensor, when the value is lower than a preset threshold value, the system automatically starts oxygenation equipment, and automatically closes after the dissolved oxygen amount reaches the standard, the system can also record historical data and generate a trend chart, so that a user can be helped to analyze the water quality change rule, optimize the oxygenation strategy, avoid fish death caused by hypoxia, and improve the culture benefit. Traditional pond oxygenation equipment function singleness relies on manual experience or simple timer control, can't in time oxygenation according to environmental parameter accuracy such as water dissolved oxygen volume, atmospheric pressure, and the administrator needs frequent on-the-spot detection quality of water, and inefficiency, and is difficult to deal with emergency, and partial equipment has simple detection function, but lacks integrated multiparameter remote monitoring network. Therefore, it is necessary to provide an intelligent fishpond oxygenation monitoring system based on the internet of things to solve the technical problems. Disclosure of Invention The invention provides an intelligent fishpond oxygenation monitoring system based on the Internet of things, which solves the problem that the traditional oxygenation equipment lacks a multi-parameter remote monitoring network due to single-function dependence on manual or timing control. In order to solve the technical problems, the intelligent fishpond oxygenation monitoring system based on the Internet of things comprises a power supply module, a site monitoring module, a cloud service module and a user terminal The power module is used for providing continuous and stable power support for the whole field monitoring equipment; the on-site monitoring module comprises a main control unit, a data acquisition unit, a water quality monitoring unit, a meteorological monitoring unit, other auxiliary monitoring units, an execution unit, an image acquisition unit and a communication unit, and is used for comprehensively acquiring water quality, meteorological data and on-site pictures of the fishpond, realizing data uploading and instruction receiving after integrated processing, executing a control instruction issued by a cloud or a user and being a key hub for connecting the on-site equipment and the cloud service module; The cloud service module is used for helping an administrator to quickly know the state of the fish pond, timely receiving abnormal reminding, remotely and flexibly controlling equipment and tracing the breeding process data; The user terminal is used for storing system operation data, identifying environment and security anomalies and deciding, and realizing instruction intercommunication among the modules; The system comprises a field monitoring module, an execution unit, a communication unit, a power module, a cloud service module, a remote flexible control device, a user terminal, a control module and a remote manual control oxygenation device, wherein the field monitoring module takes a main control unit as a core, is provided with a data acquisition unit such as a water quality monitoring unit and a weather monitoring unit, an execution unit, a communication unit and the power module for providing continuous and stable power support for the whole field monitoring device; The power module is adapted to a remote fishpond without mains supply coverage, oxygenation interruption caused by power failure is avoided, cultivation loss is reduced, an independent power supply system is formed by a solar panel, a solar controller and a storage battery, a mains supply interface is reserved at the same time, a solar-based and mains supply-assisted dual power supply mode is formed, the on-site monitoring module realizes multi-dimensional real-time monitoring of the fishpond environment, supports intelligent decision and accurate regulation, blind oxygenation is avoided, manual