Products & Technology · Smart Fishery

Smart Fishery

Built around “early-warning, prediction, decision and intelligence” to make every grow-out cycle steadier, leaner and more controllable

CAPABILITY

A fishery loop from data to decision

GW-OCEAN builds on core technologies such as the internet, cloud computing, big data and the Internet of Things. Relying on sensor nodes and wireless communication networks deployed at fishery production sites, it converges environmental, video and production data from sea and shore into actionable judgement and action — making every grow-out cycle steadier, leaner and more controllable.

  1. 01

    Early-warning

    Real-time perception of water-quality, environmental and equipment anomalies; once a threshold is crossed an alert is triggered, keeping risk ahead of loss.

  2. 02

    Prediction

    Drawing on historical and online monitoring data to make forward-looking judgements about water-quality trends and grow-out status, leaving a window to respond.

  3. 03

    Decision

    Multi-source data is converged and analysed to provide quantified evidence for key actions such as feeding, water adjustment and harvesting.

  4. 04

    Intelligence

    Automatic feeding, automatic control and coordinated response distil proven experience into reusable intelligent strategies.

PLATFORM MATRIX · PLATFORMS

Five platforms covering the full fishery scenario

From integrated management to workshop control, from offshore cages to whole-of-area scheduling on a single map — together they form the Smart Fishery product portfolio.

01

Smart-Fishery Integrated Management Platform

The Smart-Fishery Integrated Management Platform draws on core technologies such as the internet, cloud computing, big data and the Internet of Things. Relying on the various sensor nodes and wireless communication networks deployed at fishery production sites, it delivers intelligent perception, early-warning, decision-making, analysis and online expert guidance for the fishery production environment, raising the level of informatisation and intelligence across the whole process and whole chain of fishery production, operation and supervision, and driving the transformation and upgrading of modern fisheries.

Smart-Fishery Integrated Management Platform

Online water-quality monitoring system

The system monitors and collects water-quality data (temperature, light, residual chlorine, pH, dissolved oxygen, turbidity, salinity, ammonia-nitrogen content, etc.) in real time and performs data analysis, giving a comprehensive real-time grasp of the grow-out environment. It supports data-anomaly alarms, historical-data query and report generation, and can publish early-warning information and run warning handling via the system, SMS and the official account.

Tailwater monitoring system

The system monitors a range of water-quality parameters: suspended solids, pH, COD, ammonia-nitrogen, nitrite-nitrogen, nitrate-nitrogen, reactive phosphate and more. Through online water-quality monitoring of tailwater and the integrated convergence of monitoring data, it converges and analyses key monitoring data in real time, strengthening environmental supervision capability.

Online video surveillance interface

Online video surveillance

By configuring video-surveillance equipment, all monitoring collection points are uniformly consolidated and tagged. The system supports real-time display of surveillance video, in-process snapshots and video playback, monitoring the grow-out environment as well as the daily behaviour, growth status and physical traits of the farmed organisms.

Intelligent production control system

The intelligent production control system is software purpose-built to provide professional service to fishery grow-out users. Through the system, users can view in real time the various indicators, water-quality status and equipment operating conditions of each water body, achieving efficient control of the grow-out production environment.

02

Digital Aquaculture Integrated Management Platform

The Digital Aquaculture Integrated Management Platform is paired with online real-time water-quality monitoring and analysis equipment, production-equipment operation monitoring equipment, grow-out area video surveillance equipment, underwater fish-behaviour monitoring equipment and equipment-room infrastructure, achieving intelligent grow-out monitoring, precise production management and an efficient grow-out process, and delivering digital management of the entire aquaculture process.

Digital Aquaculture Integrated Management Platform visualization wall

Real-time online water-quality monitoring

By deploying water-quality sensors, data-acquisition terminals and other equipment, grow-out water quality is monitored in real time around the clock throughout the process, promptly capturing changes in the water body, predicting and forecasting grow-out risk, and providing scientific data support for digital aquaculture.

Grow-out area video surveillance

The monitored area is covered around the clock with no blind spots; illegal entry into a defined area can trigger an automatic alarm, with live viewing and playback management of the surveillance video.

Underwater organism behaviour monitoring and recognition

The platform can observe in real time the feeding and growth status of underwater organisms and adjust feed input in time; by observing the behaviour of underwater organisms it can anticipate the onset of grow-out diseases, and more.

Intelligent equipment operation monitoring

Intelligent operation monitoring of aerators, feeders, water supply and drainage and other equipment within the grow-out area reduces labour costs and improves economic returns.

Aquatic-product quality traceability

Aquatic-product quality traceability

In the aquatic-product quality traceability module, the sources and use of suppliers and inputs, product testing and sales orders can be managed, safeguarding the quality and safety of aquatic products.

Large-screen visualization

The visualization-wall system presents an integrated view of the plant 3D model, water-quality data, workshop environment, production and operation, and other data, providing users with more intuitive and convenient data analysis and decision support.

03

Deep-water Cage Smart Monitoring Platform

The Deep-water Cage Smart Monitoring Platform integrates modules for environmental monitoring, video surveillance, fish-school status perception, automatic feeding control, net and structural safety, data management and analysis, and remote control and alarming. It can collect water-quality and hydrological parameters in real time, view fish schools and cage status remotely, assess fish behaviour and health by combining sonar with AI recognition, and based on the data automatically optimise feeding and warn of net damage or abnormal loading. Through multiple terminals it enables remote control and anomaly alarming, comprehensively improving grow-out safety and efficiency.

Deep-water Cage Smart Monitoring Platform

Cage environmental monitoring

Sensors for dissolved oxygen, temperature, salinity, pH, turbidity and flow velocity are arranged at different water layers of the cage to collect water-quality and hydrological data in real time. Data is transmitted wirelessly to the platform with dynamic thresholds set. When an indicator exceeds its range, the system automatically triggers an early warning, helping grow-out staff intervene and handle it in time.

Cage video surveillance

Cage video surveillance

Composed of an above-water panoramic camera and an underwater high-definition underwater camera, with night vision and PTZ control. Grow-out staff can remotely view fish activity on the cage surface, feeding behaviour and surface fouling of the net via PC or mobile. Combined with AI image-recognition algorithms, the module can also automatically identify behaviours such as abnormal fish aggregation, jumping or sluggish swimming, and flag suspicious periods for rapid diagnosis of disease or environmental stress.

Cage fish-school status monitoring

Using a fusion of multibeam imaging sonar and optical sensors, the fish school inside the cage is scanned non-contact. The system can estimate in real time fish-school density, individual size distribution, swimming speed and turning consistency, and thereby judge feeding activity and health level.

Cage automatic feeding system

Based on dissolved-oxygen and water-temperature data from the environmental monitoring module, feeding activity from the fish-school status module and a preset daily-feeding-volume model, a feeding strategy is generated automatically. Through a pneumatic-conveying or vibrating feeder, the system remotely controls the feeding rate, duration and frequency, and can deliver precise “little and often” feeding.

Data management and analysis

As the platform’s data hub, it stores all historical monitoring data (environment, video, fish schools, feeding, structural safety, etc.) and provides visualization dashboards and multi-dimensional comparison tools. Built-in machine-learning models can predict future water-quality trends, disease-outbreak probability and the best harvest time from historical data. The system can also automatically generate grow-out logs and weekly reports, helping managers optimise feeding strategies and adjust stocking density, and evaluate grow-out returns by comparison with the same period in history.

04

Fishery Information Map

The fishery informatisation platform builds a fishery data hub that integrates basic fishery resource information, policy and planning, sea-area baseline surveys, environmental monitoring data and other resources, delivering integrated application services for fishery data such as sea-area environment, resources and industrial layout within the jurisdiction, and achieving fishery-information management on a single map.

Fishery Information Map

Marine-fishery integrated achievement statistics system

Its main function is the management and use of fishery achievements, including fishery-achievement maintenance, policy-document management, expert-data maintenance and literature-resource management.

Fishery information management system map

Fishery information management system

It integrates fishery information on a “single map”, switching views via four buttons: ranch management, fishing-ground management, ecological-environment survey and economic-organism survey. The ranch and fishing-ground pages can display data such as demonstration zones and sea-angling vessels, and link to external platforms to view each ranch’s details, real-time parameters and live feed. The ecological-environment survey shows historical water-quality data by station; the economic-organism survey represents biomass distribution by the size and colour of circles.

Marine-fishery environment monitoring and disaster forecasting system

It integrates marine-fishery environment monitoring and disaster-forecasting information on a “single map”. Its main functions include real-time display of marine-environment forecasts (wave height, tide, hydrology, etc.) and the storage and analysis of historical data. The homepage map icons can display real-time forecast information; both sides of the page support historical-data query, retrieving years of accumulated daily forecast data. Clicking “Summary analysis” and selecting a time range can display environmental elements (such as sea temperature, wave height, wind direction) or trends for a specific sea area over different periods.

Marine-resource 3D integrated information system

It integrates above-water and underwater 3D terrain of the water area, historical remote-sensing imagery of the whole area, observation-station monitoring data, and regional hydrometeorological and water-quality data, and provides practical tools for coordinate positioning and the measurement of distance, area and height. The 3D terrain supports viewing the latitude, longitude, elevation or water depth of any location, and overlaying substrate-survey reports for an integrated analysis of marine geological conditions. The system also provides VR management for an immersive sense of the marine ranch’s current state.

Fishery economy operation analysis system

Annual fishery report statistics from past years (including grow-out area, output and output value) can be entered and the trends of the fishery economy displayed intuitively in charts. Arrow icons on the map can link to introductions of major fishery enterprises and support dynamic updates. The system also offers fishery-project summary management, making it easy to view the progress of fishery-related projects and providing a reference for project management and application.

05

Aquaculture Workshop Automatic Control System

Shandong Guangwei Marine’s Aquaculture Workshop Automatic Control System deeply integrates the Internet of Things, smart sensing and automatic control technologies, fully combining functional modules for online water-quality monitoring, intelligent aeration control, precise automatic feeding, automatic temperature regulation and multi-level alarm management. The system can collect and analyse in real time key parameters such as dissolved oxygen, pH, temperature and ammonia-nitrogen in the water body, automatically start and stop aeration equipment and adjust water temperature according to preset thresholds, and automatically execute precise feeding strategies according to the farmed species and growth stage. It also features automatic alarming on anomalies (on-site audible-visual alarm and remote push) and coordinated handling, achieving round-the-clock, fully automatic intelligent regulation of the grow-out workshop and helping aquaculture upgrade toward digitalisation, refinement and unmanned operation.

Aquaculture Workshop Automatic Control System
Online water-quality monitoring of the grow-out workshop

Online water-quality monitoring of the grow-out workshop

The system deploys multi-parameter water-quality sensors that collect key indicators such as dissolved oxygen, pH, temperature, salinity, ammonia-nitrogen and nitrite in the water body in real time. Monitoring data is uploaded to the control platform via IoT terminals, with minute-level updates and dynamic-curve display. The system supports grouped viewing by workshop and grow-out pond and the setting of safety thresholds for each parameter. Once an indicator exceeds the normal range, the platform immediately triggers an audible-visual alarm and mobile push, and can coordinate equipment such as aeration and water exchange for automatic regulation. All historical monitoring data is stored automatically, making it easy to trace water-quality patterns and optimise grow-out plans.

Intelligent aeration control

Dissolved-oxygen sensors arranged in the grow-out pond monitor the dissolved-oxygen concentration of the water body in real time. According to preset thresholds, the system automatically starts and stops or variable-frequency-regulates the aeration equipment for precise on-demand oxygen supply. It also supports zoned independent control, coordinated alarming and the activation of emergency backup devices, effectively preventing oxygen-deficiency pond turnover, lowering energy consumption, reducing manual intervention, keeping the farmed subjects in the optimal dissolved-oxygen environment, and improving survival rate and production efficiency.

Automatic feeding system

Based on parameters such as the farmed species, size, density and water temperature, a feeding strategy is preset. The central controller controls the feeder to deliver feed precisely at fixed times and quantities, and can automatically adjust the feeding amount and frequency according to dissolved-oxygen changes and feeding feedback, avoiding feed waste and water-quality deterioration. The system supports multi-pond grouping and independent control by line, achieving round-the-clock unmanned automatic feeding, effectively lowering the feed coefficient and labour cost, and improving grow-out uniformity and growth efficiency.

Anomaly alarm

It monitors in real time water-quality parameters (dissolved oxygen, pH, temperature, ammonia-nitrogen, etc.) and the operating status of aeration, feeding, temperature-control and other equipment. Once an indicator exceeds the preset safety threshold or equipment fails or loses power, the system immediately triggers an on-site audible-visual alarm and pushes alert information remotely via mobile app, SMS and other means; it can also coordinate the activation of backup aeration devices or emergency control measures, effectively preventing grow-out accidents and safeguarding production safety.

Match the right digital-intelligence platform to your grow-out scenario

Whether it is a deep-water cage, an industrialised workshop or the whole-of-area management of a regional fishery, we are glad to explore the path to deployment with you.