CN-121981000-A - Bay aquaculture capacity assessment method and system based on digital twin technology

CN121981000ACN 121981000 ACN121981000 ACN 121981000ACN-121981000-A

Abstract

The invention discloses a bay aquiculture capacity assessment method and system based on a digital twin technology, wherein the method comprises the steps of acquiring multi-source real-time data of a target aquiculture water area; the method comprises the steps of establishing a digital space model corresponding to a target cultivation water area, configuring a simulation engine integrating environment evolution logic and biological metabolism mechanism by the space model, dividing the digital space model into a plurality of calculation units, dynamically coupling source items, sink items and the environment evolution logic on a space-time scale in the calculation step length of the calculation units, carrying out state calibration on the digital space model, carrying out environment evolution trend simulation in a future period by combining prediction driving data, and carrying out iterative simulation by adjusting cultivation configuration parameters in the digital space model by taking ecological health indexes and biological survival indexes as constraint conditions to output dynamic cultivation capacity meeting the constraint conditions. The invention realizes the span of the cultivation capacity from static estimation to dynamic numerical deduction, and effectively improves the prospective of risk early warning and the accuracy of management decision.

Inventors

XU YIBIN
CHEN XIFEI
CHEN XIAOHONG
ZHENG HUIDONG
XIE YOUQUAN
QUAN HANFENG
MU JINGLI
WANG XUELING

Assignees

福建省水产研究所（福建水产病害防治中心）

Dates

Publication Date: 20260505
Application Date: 20260123

Claims (10)

1. A method for estimating the capacity of bay aquaculture based on digital twin technology, comprising: s1, acquiring multi-source real-time data of a target aquaculture water area, wherein the multi-source real-time data comprises environment characteristic data and biological activity data, establishing a digital space model corresponding to the target aquaculture water area, and configuring a simulation engine integrating environment evolution logic and biological metabolism mechanism by the digital space model; S2, dividing the digital space model into a plurality of calculation units, defining substance contributions generated by the metabolism of the cultured organism as source items, defining substance consumption generated by the activity of the cultured organism as sink items in the calculation step length of the calculation units, and dynamically coupling the source items, the sink items and the environment evolution logic on a space-time scale; S3, carrying out state calibration on the digital space model based on the multi-source real-time data, and carrying out environment evolution trend simulation of a future period by combining predicted driving data; and S4, carrying out iterative simulation by taking the ecological health index and the biological survival index as constraint conditions and adjusting the culture configuration parameters in the digital space model, and outputting the dynamic culture capacity meeting the constraint conditions.
2. A method of estimating the capacity of a bay aquaculture based on digital twinning technology according to claim 1, wherein said multi-source real-time data comprises flow field data acquired with an acoustic flow profiler, dissolved oxygen gradient data acquired with a multi-layer water quality sensor, and wind field forecast data acquired with a weather station.
3. The method for estimating the capacity of the aquiculture in the bay based on the digital twin technology as set forth in claim 1, wherein the step of constructing the digital space model includes obtaining geographical mapping data, substrate data and shoreline data of the target aquiculture water area, and constructing a three-dimensional discretization grid based on computational fluid mechanics logic as a computing unit for carrying the simulation engine.
4. The method for estimating the capacity of the aquiculture in the bay based on the digital twin technology according to claim 1, wherein the environment evolution logic integrates a three-dimensional hydrodynamic water quality model, simulates the physical flow and transportation process of a water body by solving a Navier-Stokes equation, and maps the space-time concentration field distribution of dissolved oxygen, nutrient salts and pollutants in each computing unit in real time by combining a convection diffusion equation.
5. The method for estimating the capacity of the aquiculture in the bay based on the digital twin technology as claimed in claim 1, wherein the biological metabolism mechanism integrates a biological growth and metabolism model, dynamically quantifies the ingestion, respiration and excretion rates of the cultured organisms in different growth stages by establishing a correlation function taking the individual biomass, the real-time water temperature and the dissolved oxygen concentration as independent variables, and converts the obtained instant oxygen consumption and metabolic waste release into dynamic source sink items in a digital space model.
6. The method for estimating the capacity of the aquiculture in the bay based on the digital twin technique according to claim 4, wherein the dynamic coupling specifically comprises loading a nutrient salt load generated by the metabolism of the breeding organisms as the source term to a corresponding computing unit, loading oxygen consumption generated by the respiration of the breeding organisms as the sink term to the corresponding computing unit, and driving the convection diffusion equation to synchronously solve the advection, diffusion and mixing processes of substances in each computing unit based on the real-time flow field data output by the environment evolution logic in each computing step.
7. The method for estimating the capacity of the gulf aquaculture based on the digital twin technology as set forth in claim 1, wherein the constraint condition of the ecological health index is that the total flux of nutrient salts in the simulation area is less than or equal to zero in one complete cultivation period, and the constraint condition of the biological survival index is that the real-time value of the concentration of dissolved oxygen in all calculation units related to cultivation activities is not lower than a preset biological survival critical threshold.
8. A method of estimating the volume of a bay aquaculture based on digital twinning technology according to claim 1, said method further comprising: And S5, generating a decision proposal based on the dynamic culture capacity, wherein the decision proposal comprises an oxygenation equipment start-stop instruction, a bait casting strategy adjustment instruction or a harvesting and binning scheme.
9. A bay aquaculture capacity assessment system based on digital twinning technology, comprising: the system comprises a digital space modeling module, a digital space model, a simulation engine, a simulation module and a control module, wherein the digital space modeling module is configured to acquire multi-source real-time data of a target aquaculture water area, and the multi-source real-time data comprises environment characteristic data and biological activity data; The dynamic coupling module is configured to divide the digital space model into a plurality of calculation units, define the substance contribution generated by the metabolism of the cultivated organism as a source item, define the substance consumption generated by the activity of the cultivated organism as a sink item in the calculation step length of the calculation units, and dynamically couple the source item, the sink item and the environment evolution logic on a space-time scale; the trend simulation module is configured to perform state calibration on the digital space model based on the multi-source real-time data, and perform environment evolution trend simulation of a future period by combining predicted driving data; And the iteration evaluation module is configured to take the ecological health index and the biological survival index as constraint conditions, perform iteration simulation by adjusting the culture configuration parameters in the digital space model, and output the dynamic culture capacity meeting the constraint conditions.
10. A system for estimating the capacity of a bay aquaculture based on digital twinning technology according to claim 9, said system further comprising: The decision execution module is configured to generate decision advice based on the dynamic culture capacity, wherein the decision advice comprises an oxygenation equipment start-stop instruction, a bait casting strategy adjustment instruction or a harvesting and binning scheme.

Description

Bay aquaculture capacity assessment method and system based on digital twin technology Technical Field The invention relates to the technical field of aquaculture biology and aquaculture management, in particular to a bay aquaculture capacity assessment method and system based on a digital twin technology. Background The aquaculture capacity is used as the maximum aquaculture biomass supported by a specific water area on the premise of maintaining the health of an ecological system, and is a core parameter for realizing sustainable development of industry, but the traditional evaluation method mainly depends on static field investigation, an empirical formula and periodic detection and has the inherent defects of obvious hysteresis, locality, insufficient prediction capability and the like. Because dynamic changes of key factors such as dissolved oxygen, ammonia nitrogen and the like cannot be reflected in real time, and impact of extreme weather to a system is difficult to simulate, the traditional mode extremely depends on artificial experience, and excessive cultivation is easily caused by the lack of scientific quantitative decision support, so that risks such as eutrophication of water body and disease outbreak are triggered. Although digital twin technology has demonstrated powerful advantages of virtual-real fusion in fields such as industrial manufacturing, there is still a technical gap in constructing a dynamic and predictable evaluation model in the field of aquaculture which is highly complex and greatly affected by natural environment. The prior art lacks a systematic solution capable of integrating multisource environment data, deep coupling hydrodynamics and biological growth models and realizing full-flow virtual-real interaction of 'perception-modeling-decision-control', and is difficult to meet the urgent requirements of modern intelligent aquaculture on fine management and risk prevention and control. Disclosure of Invention In order to solve the technical problems in the prior art, the invention provides a bay aquaculture capacity assessment method and system based on a digital twin technology, so as to solve the technical problems. According to a first aspect of the present invention, a method for estimating the volume of aquiculture in a bay based on digital twinning technology is provided, comprising: S1, acquiring multi-source real-time data of a target aquaculture water area, wherein the multi-source real-time data comprises environment characteristic data and biological activity data, establishing a digital space model corresponding to the target aquaculture water area, and configuring a simulation engine integrating environment evolution logic and biological metabolism mechanism by the digital space model; S2, dividing the digital space model into a plurality of calculation units, defining substance contributions generated by the metabolism of the cultured organisms as source items, defining substance consumption generated by the activities of the cultured organisms as sink items in the calculation step length of the calculation units, and dynamically coupling the source items, the sink items and the environment evolution logic on a space-time scale; s3, carrying out state calibration on the digital space model based on the multi-source real-time data, and carrying out environment evolution trend simulation of a future period by combining with the predicted driving data; and S4, carrying out iterative simulation by adjusting the culture configuration parameters in the digital space model by taking the ecological health index and the biological survival index as constraint conditions, and outputting the dynamic culture capacity meeting the constraint conditions. In the technical scheme, a virtual mapping system of deep coupling of a physical environment and a biological mechanism is established, the crossing of the culture capacity from 'static experience estimation' to 'dynamic numerical deduction' is realized, and the timeliness and scientificity of capacity estimation are greatly improved. In some specific embodiments, the multi-source real-time data includes flow field data acquired using an acoustic flow profiler, dissolved oxygen gradient data acquired using a multi-layer water quality sensor, and wind field forecast data acquired using a weather station. By introducing a high-dimensional profile flow field, dissolved oxygen gradient and forecast-level meteorological data, the singleness of model boundary conditions is eliminated, and the perception precision of the system to water layering phenomenon and future environmental fluctuation under complex habitat is remarkably enhanced. In some specific embodiments, the construction step of the digital space model comprises the steps of obtaining geographic mapping data, substrate data and shoreline data of a target aquaculture water area, and constructing a three-dimensional discretization grid based on computational fluid mecha