2204 results about "Ecosystem" patented technology

The invention discloses an estuary and gulf early warning management method and system based on digital twinning, and relates to the technical field of early warning management, and the method comprises the following steps: collecting multi-source data of an estuary and gulf region, and integrating the multi-source data into a unified digital twinning system; building a digital twinborn model of the estuary and gulf by utilizing the collected multi-source data, and analyzing dynamic trends of a physical water quality environment, a hydrological environment and an ecological environment of the estuary and gulf; the estuary bay environment is monitored in real time by deploying a sensor and monitoring equipment. By scientifically identifying the potential ecological problems of the ecological system in the estuary and gulf area, evaluating and predicting the performance of the ecological system, optimizing land-sea overall planning, river-sea linkage comprehensive treatment and preventive maintenance schemes, the ecological function of the gulf is improved, the decision risk is reduced, the response effect and management efficiency are improved, and the economic benefit is increased. And a new technical approach is explored and technical support is provided for sustainable high-quality development of an estuary and gulf ecological system.

The invention relates to a restoration method of a wetland ecosystem, and aims to improve the biodiversity of a wetland and restore and enhance the ecological function of the wetland through systematic measures. The method comprises the following steps: firstly, evaluating the current condition of the wetland, and identifying specific or endangered species and alien invasive species; secondly, by introducing or protecting specific animal and plant species, the natural habitat is recovered, and the biodiversity of the wetland is improved; thirdly, the water quality and soil conditions of the wetland are improved by adopting technologies such as hydrological regulation and control and vegetation restoration; fourthly, the connectivity of the interiors of the wetlands and surrounding habitats is enhanced, and species migration and gene exchange are promoted. By means of the measures, a damaged wetland ecosystem can be effectively restored, key functions such as water quality purification, flood regulation and carbon storage of the wetland ecosystem can be restored, meanwhile, endangered species are protected, and the ecological value and landscape aesthetics of the wetland are improved.

The invention discloses an ecological restoration quantification method based on a watershed ecological safety complex network. The method comprises the following steps: S1, obtaining multi-time-sequence watershed multi-source heterogeneous spatial data of a target area; s2, taking the grid as an evaluation unit, establishing a drainage basin ecosystem service function evaluation system, and obtaining spatial-temporal change characteristics of an ecological safety function; s3, analyzing the spatial-temporal change characteristics of the ecological land scale of the watershed; s4, constructing a drainage basin ecological resistance surface; s5, identifying an ecological corridor; s6, constructing an ecological safety complex network model by taking the ecological source as a node, the ecological corridor as an edge, the scale of the ecological source as a point weight and the proportional relation between the connection efficiency of the ecological corridor and the corridor resistance as an edge weight, and extracting spatial-temporal evolution characteristics of an ecological safety structure; s7, a coupling coordination degree model is adopted to simulate and analyze the characteristic relation among the safety function, the safety structure and the land use scale, and the coupling coordination degree is obtained; and S8, guiding and optimizing an ecological restoration implementation strategy. According to the method, ecological security network structure features on the watershed system scale are quantified.

An ecological management method and system for tropical marine ranching, a device, and a medium are provided, which relates to fishery resource management technologies. The method includes: obtaining ecological environment data and energy flow analysis data of a target marine ranching; performing ecological evaluation on the ecological environment data to determine an ecological comprehensive evaluation result, the ecological comprehensive evaluation result includes a health condition evaluation and an ecosystem stability evaluation of the tropical marine ranching; performing, based on the energy flow analysis data and the ecological comprehensive evaluation result, bio-capacity evaluation by using an Ecopath energy flow model to obtain a current bio-capacity; and performing ecological management and developing an ecological management strategy based on the current bio-capacity, the ecological management strategy includes an enhancement and releasing scheme and a fishing scheme. The method can obtain a unified evaluation standard and facilitate ecological management of marine ranching.

The invention relates to the technical field of forestry informatization, in particular to an ecological public welfare forest monitoring and intelligent management system and method. The method comprises the steps of collecting multi-dimensional ecological data in real time and performing data fusion; based on a data fusion result, establishing an ecological behavior evolution graph and a multi-layer state inversion network by adopting a graph attention mechanism, forming a dynamic ecological twinborn body, and realizing ecological system state prediction, historical disturbance inversion and future behavior simulation; a risk tensor map is constructed in combination with state abnormality, trend instability and intervention ineffectiveness in a three-dimensional mode, a dynamic grading thermodynamic diagram is generated, and a personalized regulation and control strategy is recommended through reinforcement learning; and finally, sensing an actual regulation and control effect through a feedback mechanism, dynamically correcting twin model parameters by using deviation analysis, and constructing a knowledge base based on historical strategies and effects to drive strategy self-optimization. According to the method, a sensing-modeling-regulation-feedback closed loop is formed, and the accuracy and adaptability of ecological management are improved.

The invention aims to provide a mine ecological restoration carbon sequestration rate prediction method for solving the problems of an existing ecological restoration carbon sequestration rate prediction method. The method comprises the following steps: step 1, collecting multiple parameter multi-source data including vegetation growth, earth surface change and soil change of an ecological restoration area; 2, integrating the data, and constructing a dynamic prediction model for the change of the mine ecological restoration carbon sequestration rate; 3, verifying and optimizing the prediction model by using historical data and field observation data; and 4, adopting a machine learning technical means for the optimized prediction model, and establishing a quantitative relationship between the carbon sequestration rate change and ecological restoration means of land utilization, vegetation coverage and soil attributes. The method overcomes the influence of extreme climate events on the carbon sequestration rate of an ecological system, can accurately predict the change trend of the carbon sequestration rate under different ecological restoration strategies in the future, and provides a powerful scientific basis for ecological restoration of a mining area.

The invention relates to the technical field of ecological environment protection, in particular to an ecological protection red line division method applied to ecological basic investigation, which comprises the following steps: evaluating the service function and stability of an ecological unit through ecological basic data collection and processing in combination with an ecological model, and further delimiting an ecological protection red line area. The boundary of the red line area is optimized through space overlay analysis and conflict analysis of the current land utilization situation, and real-time adjustment is carried out based on ecological risk assessment and a dynamic monitoring mechanism. In combination with deep learning and reinforcement learning algorithms, dynamic monitoring and flexible adjustment of the red line area are realized, continuity and safety of an ecological system are guaranteed, intelligent management of the ecological protection red line is realized through a GIS technology and an early warning mechanism, scientificity and effectiveness of the ecological protection red line area are ensured, and the ecological protection red line area management method and system are suitable for popularization and application. And a reliable guarantee is provided for long-term stable development of an ecological system.

The invention relates to the field of water conservancy and hydropower engineering, in particular to a multi-objective optimized hydropower ecological scheduling decision-making system and method, and the system comprises a data collection module, an ecological model module, an intelligent decision-making engine module, a scheduling execution module, an effect evaluation module and a knowledge base module. The data acquisition module collects multi-source data, the ecological model module generates a training data set, the intelligent decision engine carries out ecological process modeling and probability prediction based on a deep learning architecture and spatial-temporal feature extraction, and generates a scheduling decision, the scheduling execution module controls hydropower engineering operation, and the effect evaluation module monitors ecological and economic effects. The knowledge base module stores historical experience and provides optimization suggestions, and the system improves the simulation accuracy of the ecological system, especially when the flow changes suddenly; and through uncertainty quantification, the system reliability and the ecological safety guarantee rate are enhanced, and high efficiency, accuracy and sustainability of ecological scheduling of the hydropower engineering are realized.

The invention discloses an emergency prediction and early warning method for an overwater oil spill and hazardous chemical substance leakage accident. The method comprises the following steps: establishing an inland river basic database; constructing an environmental ecological effect model of the oil spill event; biological population changes under the influence of the oil spill event are identified; evaluating the influence of the oil spill event on the ecological system by using an eDNA macro stripe code technology; based on a biostatistics method, analyzing the relationship between the microbial community and the environmental elements; multi-dimensional real-time monitoring and early warning are carried out on an oil spill event; and a targeted sewage disposal scheme and ecological restoration measures are provided. According to the method, aerial remote sensing, ship and shore-based radar, video monitoring and buoy data are combined, multi-dimensional real-time monitoring and early warning of oil spill events are achieved through a multi-source data fusion technology, a traditional method usually only depends on a single data source, the monitoring accuracy and timeliness are improved, and the method is suitable for popularization and application. And after an oil spilling event occurs, a response can be made more quickly, and the damage of the accident to the environment and the economy is effectively reduced.

The invention discloses a soil quality improvement and microbiological analysis integrated system, and relates to the technical field of soil improvement and microbiological analysis, the system comprises a microbial agent adding module, an organic acid adjusting module, a soil improvement effect monitoring module, a data analysis and processing module and a control and feedback module. According to the invention, high integration of soil improvement and microbiological analysis is realized, the efficiency and effect of soil improvement are improved through real-time monitoring and accurate regulation and control, and the microbial community is comprehensively and dynamically analyzed, so that deep understanding of a microbial action mechanism in the soil improvement process is facilitated, and the soil improvement efficiency and effect are improved. By monitoring succession of microbial community structures, expression changes of functional genes and diversity of carbon source utilization functions, the effects of microorganisms on straw degradation, soil structure improvement and the like are accurately grasped, problems are found in time through an early warning function, improvement measures are adjusted in time, and the stability and sustainability of a soil ecosystem can be effectively maintained.

The invention relates to the technical field of ecological data processing, in particular to a plant growth evaluation method based on ecological data analysis, and the method comprises the steps: collecting data; determining a temporary grid; soil type identification; identifying an abnormal grid; adjusting a grid; and evaluating the plant growth degree. According to the method, the accuracy of plant growth monitoring is improved through dynamic monitoring and intelligent adjustment, bad growth conditions and abnormal plants can be recognized in time, then targeted intervention measures are provided, the vulnerability of an ecological system is reduced, and meanwhile, the high efficiency and accuracy of data acquisition are ensured through dynamic adjustment of grid spacing and optimization of a monitoring strategy. The method also provides a scientific basis for soil quality and plant health, is helpful for realizing ecological balance, promoting reasonable utilization of resources, improving the stability of an ecological system, and effectively solves the problems of insufficient evaluation comprehensiveness and reduced data acquisition timeliness caused by dependence on a fixed trigger strategy and single data source.

The invention relates to the technical field of port planning and construction, and particularly discloses a port planning and construction environment feasibility assessment method and system, and the method comprises the following steps: S1, obtaining planning parameters, real-time environment monitoring data, a historical ecological data set and social economic data of a target port; s2, constructing a dynamic coupling model of environmental bearing-ecological disturbance-pollution diffusion-social economic influence; and S3, based on the dynamic coupling model, adopting multi-scene space-time prediction simulation, and outputting an environmental feasibility comprehensive index, a key constraint factor and a social economic influence evaluation result. A dynamic coupling model of environment bearing, ecological disturbance, pollution diffusion and social economic influence is constructed, the four sub-models interact in real time through bidirectional data flow, full-dimension dynamic coupling evaluation of natural environment, ecological system, pollutant migration and social economic factors is achieved, and compared with traditional single-factor evaluation, the comprehensive evaluation accuracy is improved.

The invention discloses a soil health and microbiological analysis intelligent environment monitoring device, and relates to the technical field of soil monitoring, the device comprises the following components: an outer shell, a sensor assembly, a microflora interaction monitoring sensor group, a data acquisition and transmission module, a power supply module, a microprocessor, a control unit and a data analysis module; signal molecule concentration change data and predatory relationship visual data are combined through the data analysis module, deep analysis is carried out by using bioinformatics and mathematical modeling means, and a multi-dimensional regulation network hidden in a microbial community can be comprehensively revealed; according to the soil health assessment device, the interaction relationship between the soil ecological system and the soil ecological system is analyzed accurately, the influence of the interaction relationship on key ecological functions such as material circulation and energy flow in the soil ecological system is analyzed accurately, the device can generate a detailed soil health assessment report based on the analysis results, agricultural scientific researchers, planting farmers and environmental protection monitoring departments can assess the soil health condition accurately, and the soil health assessment efficiency is improved. And targeted soil management measures are taken.

The invention relates to the technical field of geological ecological monitoring, in particular to a geological ecological monitoring system and method. The method comprises the following steps: acquiring a topographic map of a monitoring area; performing real-time data acquisition by using a sensor network according to the topographic map of the monitored area, and constructing a rock-soil physical characteristic matrix to obtain the rock-soil physical characteristic matrix; performing rock-soil mechanical response spectrum construction according to the rock-soil physical characteristic matrix to obtain a rock-soil mechanical response spectrum; according to the monitored area topographic map, point cloud data processing is utilized to construct a side slope geometric model, and a side slope three-dimensional geometric model is obtained; performing unit stress analysis according to the three-dimensional geometric model of the side slope to obtain unit stress data; and performing strength reduction calculation according to the unit stress data to obtain a reduction strength parameter. The geological ecological system is comprehensively, dynamically and systematically monitored and evaluated, so that geological disaster prevention and control and ecological environment protection are better served.

The invention provides an environmental pollution risk assessment method and system based on deep learning, a computing device and a storage medium, and relates to the technical field of environmental pollution risk assessment, and the method comprises the steps: determining a preliminary environmental pollution condition of a target region through employing a multi-scale multi-factor coupling analysis method based on the parameter values of physicochemical property parameters and background information; verifying and correcting the initial environmental pollution condition to obtain a target environmental pollution condition; according to the target environmental pollution condition, the historical environmental pollution risk assessment result, the public health data and the parameter values of the organism response parameters, the target environmental pollution risk assessment result is obtained; and an environmental pollution risk assessment model including a deep learning-based multilayer perceptron, an attention mechanism and a generative adversarial network is adopted to assess the overall influence degree of the environmental pollution condition of the target area on public health and an ecological system, so that a target environmental pollution risk assessment result can be obtained. According to the technical scheme provided by the invention, the accuracy of the target environmental pollution risk assessment result is improved.

The invention relates to the field of agricultural soil improvement and ecological fertilization, and discloses an ecological fertilization method for improving the organic matter content of soil in a dry-hot valley region, and the method comprises the following steps: soil matrix improvement: improving the porosity and water binding capacity of the soil by adding charcoal and humic acid particles; the functional microbial preparation is put, and the activity of soil microorganisms is activated through the combined effect of cellulose decomposition bacteria, stabilization promoting flora and water retention flora; green manure crop planting and covering management: planting sweet clover and other leguminous crops to provide a carbon source and a nitrogen source for soil, and meanwhile, utilizing straw covering to inhibit water evaporation; turning over and stabilizing the green manure crops, namely turning over and stabilizing the organic matters in a blooming period of the green manure crops and combining with a stabilization promoting bacterial liquid and an adsorptive carrier; dynamic balance is maintained, and dynamic balance of decomposition, conversion and accumulation of organic matter is achieved step by step through multi-cycle planting and turning and pressing. The organic matter content and fertility of the soil can be improved, and the water-retaining property and microbial ecosystem of the soil are improved.

The invention discloses a sewage denitrification dosing method and system based on machine learning and a storage medium, and belongs to the technical field of sewage treatment.The method includes the steps that data are collected and preprocessed, and variable data influencing biochemical pool carbon source dosing behaviors are obtained; and lagging influence of carbon source input on the denitrification amount index is analyzed, and the duration time range of the drug effect is determined. And adopting the trained prediction model, and based on the denitrification amount index and the prediction variable of the future t + X period, obtaining the dosage of the (t + 1) th period. Through a correlation analysis method, the correlation rule of nitrogen conversion in the future X period after the carbon source is added is analyzed, the duration time of the drug effect is determined, the lag effect is accurately quantified, and the problem of mismatching of regulation and control opportunities is avoided. The hysteresis effect is captured and subjected to multi-factor coupling analysis based on the prediction model, the carbon source adding amount and time are optimized, system load fluctuation caused by excessive carbon sources or incomplete nitrogen removal caused by insufficient carbon sources are avoided, and the stability of an original sewage ecological system is gradually improved.

The invention discloses a plant configuration method for synergistically improving forest ecological products, and relates to the technical field of plant configuration methods. The method comprises the following steps: site condition analysis: selecting a forest region with an area of S hectare in a mountain area as an implementation object, and obtaining site conditions of the implementation object through field exploration; setting an ecological target; screening plant varieties; plant configuration layout planning; calculating ecological influence factors; initial ecological target calculation: calculating an initial ecological target by using an ecological target calculation model based on the obtained ecological influence factors of different plant types and the divided forest region information; and adjusting the forest region based on the determined forest region information and the determined plant type information. According to the method, the actual situation of the region can be accurately grasped, the scientificity of a plant configuration scheme is greatly improved, and it is ensured that a forest ecological system always develops towards a preset ecological target.

The invention relates to the technical field of wetland ecosystem soil carbon sequestration capability, in particular to a seasonal waterlogged wetland soil carbon estimation and dynamic monitoring method, which comprises the following steps of: selecting a sampling zone and a quadrat according to an equal-elevation water level gradient and a vegetation type; an optimal remote sensing estimation carbon model is determined through remote sensing image interpretation and screening of characteristic factors such as image waveband reflectivity, vegetation indexes, principal component characteristics and single-waveband textures, and soil organic carbon spatial distribution characteristics are analyzed through remote sensing inversion and GIS interpolation; constructing a Wetland-DNDC wetland carbon dynamic simulation model based on a DNDC model to predict wetland long-term carbon dynamic change and greenhouse gas emission; the invention provides a method for simulating carbon reserves and carbon dynamic monitoring based on field investigation and coupling a 3S technology with a Wetland-DNDC model. Compared with a traditional field observation method, the method has obvious technical and cost advantages, and can realize the technical advantages of spatial analysis and long-time sequence monitoring. The research method is suitable for a wetland ecosystem with seasonal hydrological characteristic changes.

The invention discloses an ecological restoration effect evaluation and simulation system after polluted soil restoration, and relates to the technical field of soil restoration, and the system comprises a soil feature generation module which generates an ecological feature data set; the ecological restoration evaluation module is used for establishing a multi-dimensional evaluation model by using an analytic hierarchy process and a fuzzy comprehensive evaluation method based on the ecological characteristic data set, and generating an ecological restoration effect index; the dynamic simulation prediction module is used for constructing an ecological restoration dynamic simulation model and simulating the evolution trend of a soil ecological system under different environment conditions; and the restoration strategy optimization module is used for generating a targeted ecological restoration optimization scheme by combining a preset restoration strategy library according to the ecological restoration effect index and the dynamic simulation prediction result. According to the method, a closed-loop system integrating multi-source data acquisition and processing, multi-dimensional evaluation, dynamic simulation prediction and stepped strategy optimization is constructed, and accurate evaluation of the ecological restoration effect after contaminated soil restoration and scientific optimization of the restoration strategy are achieved.

The invention relates to a method and system for regulating and controlling microbial communities in a circulating water body, and the method comprises the steps: deploying a network composed of a plurality of water quality sensors which can collect various key parameters of the water body in real time and upload the key parameters to a cloud server; processing the collected data by using a big data analysis platform, identifying main factors influencing the development of the microbial community, training a predictive ecological model by using a machine learning algorithm, simulating the change trend of the microbial community in different scenes, evaluating the influence of the change trend on the water quality, and the like. A self-adaptive control theory is introduced, a closed-loop feedback system is constructed to optimize a microbial community structure and functional performance thereof, a small ecological environment most beneficial to survival and reproduction of target microorganisms is created, a targeted inhibition control strategy is implemented in the face of emergencies, the stability and safety of a water body ecological system are guaranteed, and the water body ecological system is protected. According to the method, the capability of dealing with emergency situations is improved, and the risk of environmental pollution is reduced.

To have a high nature imitation effect of reference point micro inhabitation environment, hold water ecological space heterogeneity of a target water body at the maximum without changing a microorganism / organic feature in a natural water ecological system in the whole construction process, and realize a natural water ecological environmental status.SOLUTION: A selection and construction method of a reference point in interfered submergence type river water ecology includes steps of: dividing a basin basic space unit S1; analyzing an influence on an ecological environment stress of human activity in the basin basic space unit and extracting a water ecological feature S2; selecting a reference candidate point S3; evaluating an aquatic organism status of the reference candidate point S4; constructing a nature imitation reference point S5; and evaluating the aquatic organism status of the nature imitation reference point S6.SELECTED DRAWING: Figure 1

The invention discloses a forest ecological product value accounting method, and relates to the technical field of ecological value accounting, and the method comprises the specific steps: S100, data collection: employing a novel sensor technology and an unmanned aerial vehicle remote sensing technology, carrying out the data collection of a forest ecological system, and combining the data of a conventional fixed monitoring point, and obtaining the value of a forest ecological product; forming a data set of multi-source data fusion; by utilizing a novel sensor technology and an unmanned aerial vehicle remote sensing technology, the method realizes high-frequency and high-precision data acquisition of a forest ecological system, and the technologies not only cover key information such as vegetation growth conditions, soil humidity and animal activities of the forest, but also are combined with traditional fixed monitoring point data, so that the forest ecological system is more accurate. A multi-source data fusion monitoring system is formed, the innovative data acquisition mode greatly enriches data dimensions, the comprehensiveness and accuracy of data are improved, and a solid data basis is provided for subsequent value accounting of forest ecological products.

The invention relates to the technical field of image processing, and discloses a mangrove forest ecological information extraction method and system based on an unmanned aerial vehicle. The method comprises the following steps: acquiring overlooking and side-looking photos through an unmanned aerial vehicle; correcting the overlook picture by using the coordinate information and superposing the overlook picture to the remote sensing image; generating a photographing direction pattern layer based on the side view photo; establishing a mangrove forest species interpretation mark library by using a random forest algorithm; classifying selected samples to generate a species distribution diagram; and finally evaluating the mangrove forest ecological function to form ecological monitoring data. According to the method, multi-angle and multi-level high-precision ecological information extraction of the mangrove forest is realized, so that a more accurate and comprehensive scientific basis is provided for species classification, ecological system function evaluation and protection management of the mangrove forest.

A method for delineating an ecological corridor based on a maximum similarity model determines ecosystem type according to the determined ecological source, and assigns a habitat suitability index; and according to a maximum similarity matrix between different ecosystems, assigns the habitat suitability index to peripheral pixels of the selected ecological source, to obtain a similar value of the habitat suitability index. The habitat suitability index is corrected according to the surface curvature data and population density data, and resistance surface data is calculated according to the corrected value. Based on the resistance surface data, an ecological corridor is delineated comprehensively to find one or more paths corresponding to a minimum cost distance as ecological corridors. The influence of ecological environment on ecological corridor establishment is considered more comprehensively, so that the ecological corridor is delineated more accurately, and applied into practice to maximum extent.

The invention relates to the technical field of agricultural ecological management, in particular to a farmland carbon and nitrogen cycle regulation and control method based on an ecological model, and the method comprises the following steps: S1, collecting ecological data of soil; s2, on the basis of the ecological data collected in the S1, constructing a carbon-nitrogen cycle regulation and control model by utilizing an ecological model coupled with a carbon-nitrogen cycle relationship; s3, performing carbon-nitrogen balance analysis by using the carbon-nitrogen cycle regulation and control model, and further determining a balance point between carbon-nitrogen input and loss; s4, formulating a carbon nitrogen regulation and control scheme according to a carbon nitrogen balance analysis result in S3; s5, performing specific operation according to the carbon nitrogen regulation and control scheme formulated in the S4; and S6, if the soil carbon and nitrogen content does not reach the set target, dynamically adjusting the carbon and nitrogen regulation and control scheme according to a feedback result. According to the invention, through combination of ecological data acquisition and a carbon nitrogen cycle model, dynamic balance regulation and control of farmland carbon nitrogen cycle are realized, the resource utilization efficiency is improved, the environmental pollution is reduced, and the sustainability of a soil ecological system is enhanced.

The invention relates to the technical field of data analysis, in particular to a territorial space planning data analysis system for ecological restoration, which comprises an interference parameter acquisition module, an ecological disturbance calculation module, a restoration area identification module, a priority level judgment module and a site selection stability screening module. According to the method, the accuracy and efficiency of ecological restoration are improved by capturing various disturbance factors of an ecological sensitive area and dynamically evaluating ecological degradation, and the signal of ecological degradation can be recognized earlier by comprehensively monitoring the change trend of earth surface coverage and the dynamic state of a water body and quickly responding to the subtle change of an ecological environment; ecological service function indexes are adopted for inter-year comparison, a long-term view angle about the health state of an ecological system is provided, prediction accuracy is improved, ecological restoration work can be implemented in a more targeted mode, and the lasting effect of the ecological restoration work is ensured through continuous monitoring of land utilization changes.

The invention belongs to the technical field of fishery resource management, and discloses a fishery resource collaborative proliferation method based on a large water surface environment. The method comprises the steps of collecting water area feature data; the water area characteristic data comprises water quality data, substrate data, sound wave data and a water area image; aquatic organism monitoring is carried out according to the sound wave data, and aquatic organism data are obtained; combining the water quality data, the substrate data and the aquatic organism data to formulate a proliferation recovery strategy; performing fish resource evaluation according to the water area image to obtain fish school resource data; in combination with the water quality data, the substrate data, the aquatic organism data and the fish school resource data, preferentially selecting proliferation objects; based on the multiplication object, the multiplication release capacity is determined; according to the method, the accuracy and the intelligent level of fishery resource management are improved, strategies can be dynamically adjusted to cope with environmental changes, the population relationship in an ecological system is balanced, and the sustainable development capability of fishery resources is effectively improved.

The invention discloses an intelligent fish and rice symbiosis ecological control system and method based on the Internet of Things. The system comprises a fish breeding area, a rice irrigation area and a circulating water channel arranged between the fish breeding area and the rice irrigation area. The central control platform is used for collecting a dissolved oxygen (DO) value and a pH value in a water body in real time through a plurality of water quality sensors configured in the system; the dissolved oxygen DO value and the pH value are water quality data; and analyzing the dissolved oxygen DO value, generating a water quality regulation and control instruction, and regulating the oxygenation equipment according to the water quality regulation and control instruction. The automatic buffering agent adding device is used for automatically adding a buffering agent according to an instruction sent by the central control platform; the oxygenation equipment comprises an aeration device and is used for adjusting the content of dissolved oxygen in the water body. According to the intelligent fish and rice symbiosis ecological control system based on the Internet of Things, the fish culture area, the rice irrigation area and the circulating water channel are integrated, effective management and control of the fish and rice symbiosis ecological system are achieved, the water body environment is optimized, and the symbiosis benefits of fishes and rice are improved.

The invention provides a seaweed farm ecosystem prediction method, system, device and medium, and belongs to the technical field of seaweed farms, and the method specifically comprises the steps: collecting basic data of a seaweed farm ecosystem, and forming an ecological data set; preprocessing the ecological data set; determining a seaweed field prediction index, using a DMD mode to decompose and extract a time-delay main mode, then using convergence cross mapping to quantify causal intensity, constructing an environmental factor and biological index space-time diagram, and learning a causal edge weight through a graph attention network; predicting index change in combination with the incidence relation, and performing hybrid prediction by adopting a pulse disturbance-recovery coupling model and digital twinborn reinforcement learning; and visually outputting the prediction result. According to the method, a seaweed field ecological system monitoring and predicting system of data, information, knowledge and decision is constructed, the ecological system state characterization capability and risk early warning perspectiveness are improved, and scientific and efficient technical support is provided for marine ecological protection and management.