1565 results about "Water area" patented technology

The invention relates to the technical field of underwater detection, and discloses an underwater comprehensive detection system. The system collects multi-dimensional acoustic data including sound wave reflection intensity, propagation time delay and frequency dispersion characteristics of a target water area through an underwater sonar array; dividing the detection area into a plurality of layered units according to a water attenuation coefficient and a substrate reflection characteristic of the acoustic data, and extracting an environment intrinsic parameter of each layered unit; constructing an acoustic propagation path model based on the environmental intrinsic parameters, and generating adaptive filtering parameters in combination with a preset noise suppression strategy; calling sonar array hardware configuration data, matching filtering parameters with an array beam forming mode, and calculating a detection sensitivity threshold value of each layered unit; and integrating the sensitivity threshold and the acoustic data, generating a three-dimensional acoustic characteristic spectrum of the target water area, and marking the space coordinates and confidence level of the abnormal area. The system can improve the comprehensiveness and accuracy of underwater detection, and meets the requirement of high-precision detection.

The invention relates to the technical field of environment intelligent supervision, and discloses a visual river and lake water area health ecological supervision and management system. A data acquisition and feature extraction module of the system is responsible for acquiring multi-source ecological monitoring data of water areas of rivers and lakes, extracting spatial change features of motion trails of aquatic organisms and a time sequence of water quality parameters from the data, and identifying abnormal features according to an index variation mode corresponding to a predefined ecological health level; and generating an ecological health abnormity response label set associated with the specific geographic position. And the health state analysis module obtains key information of the marked water area section based on the label set, analyzes a change track and a deviation interval of the health state in the supervision time frame, and determines a health state lagging time period. And the evaluation delay processing module is used for extracting related time information to calculate a time difference according to the water area subareas related to the lagging time period, screening out the water area subareas which are not evaluated completely and sorting the water area subareas, and generating an adjustable configuration scheme of the monitoring time period of the water area subareas.

The invention discloses a lightweight optical flow neural network method for river velocity measurement, and the method comprises the steps: collecting a dynamic monitoring image of a water area surface flow field, calculating an approximate optical flow field through combining with a DeepFlow optical flow algorithm, and generating an optical flow label; an improved lightweight ConvFFN-Flow optical flow estimation model is built, and the model comprises a feature extraction module, a 4D related structure body module, a GRU optical flow residual error iteration module and an up-sampling module; by introducing a ConvFFN module, the model parameter scale and the calculation amount are reduced, and the optical flow prediction precision is kept; and based on pixel coordinates of front and rear frames of images of the optical flow field data, obtaining corresponding positions in a real three-dimensional space, calculating an actual displacement amount, and deducing to obtain a real flow velocity vector size and a flow direction of the water body surface. The method still has stable and high-precision optical flow estimation capability when being used for processing scenes such as fine river water surface texture and complex flow state change, and meanwhile, the calculation overhead and the storage demand are remarkably reduced.

The invention belongs to the technical field of mobile robots, and particularly relates to an amphibious hexapod robot which comprises a robot body, six walking feet, a protection box, propellers, a multi-sensor system and a central control unit. The six walking feet are arranged on the two sides of the robot body, and a waterproof driving joint is arranged at the tail end of each foot. The protection box is arranged at the root of the walking foot and internally integrated with propellers; the sensor system comprises a water depth sensor, an attitude sensor and a grounding detection module; the central control unit is used for collecting sensor data in real time, judging whether the current environment is a land or a water area, automatically switching a walking mode or a water propulsion mode, and meanwhile adaptively adjusting gaits and the rotating speed of propellers according to the water depth and the terrain. The robot has environment perception, mode decision, gait generation, grounding prevention protection and energy optimization strategies, full-autonomous and high-adaptability movement in the land and water environment is achieved, and the working capacity and safety of the robot in the complex environment are improved.

The invention provides an aerial operation robot control system and method for water quality monitoring. The control system provided by the invention comprises a collaborative and autonomous navigation module which accurately plans a water quality monitoring flight path according to the monitored water area and position point information, and intelligently starts a fine monitoring module as required according to the regional water quality analysis result of a remote sensing monitoring module, thereby guaranteeing the comprehensive coverage of a monitored region, and timely focusing an abnormal region. The monitoring efficiency is greatly improved; the multi-rotor unmanned aerial vehicle control module guarantees stable flight; and the mechanical arm control module assists in accurate measurement. The remote sensing monitoring module and the fine monitoring module respectively utilize different sensors to obtain regional and point water quality data. The data fusion analysis module integrates the two types of data, determines and corrects the pollution range and source, locks the pollution source according to the pollution gradient, and improves the efficiency and precision of water quality monitoring.

The invention relates to a port water area ship navigation risk distribution calculation and visualization method and device based on AIS and GIS data fusion, and the method comprises the following steps: 110, obtaining ship AIS data, and carrying out the preprocessing of the ship AIS data, thereby obtaining the preprocessed ship AIS data, and the preprocessing comprises the standardization, feature extraction and abnormal point detection; step 120, carrying out port water area grid construction, and carrying out grid mapping and legality screening on the preprocessed ship AIS data; step 130, performing port water area static risk assessment, port water area dynamic risk assessment and port water area propagation risk assessment on the port water area, and performing port water area comprehensive risk assessment on the basis to obtain an assessment result; and step 140, drawing a port water area risk thermodynamic diagram based on the evaluation result to realize risk distribution visualization. According to the invention, efficient and scientific decision support can be provided for port safety management.

The invention provides a water quality abnormity early warning system and method based on multi-source data fusion, and relates to the technical field of abnormity early warning, and the method comprises the steps: recognizing a sensitive region in which the water quality is gradually changed and abnormal in a target water area through the time-space correlation characteristics of each piece of water quality multi-source data; performing sensitivity analysis on the response intensity of the water quality gradual change abnormity in the sensitive area to obtain a water quality sensitivity index of the sensitive area; determining an early warning response period when the water quality at the monitoring point is gradually changed and abnormal; performing confidence correction on a water quality abnormal fluctuation early warning threshold value at the monitoring point through the water quality sensitivity index and the early warning response period to obtain an abnormal early warning confidence coefficient of the water quality at the monitoring point; and when the abnormity early warning confidence exceeds a preset confidence threshold, sending a water quality gradual change abnormity verification instruction to an intelligent sensor at the monitoring point, and generating risk alarm information of water quality gradual change abnormity based on feedback verification data. According to the invention, risk early warning can be carried out under the condition that the water quality has gradual abnormal fluctuation.

The invention relates to the technical field of beam fusion, and discloses an irregular water area underwater topographic surveying and mapping method based on multi-beam fusion, which comprises the following steps: acquiring multi-voyage sounding data of a target irregular water area by using a multi-platform multi-beam sounding system such as a coastal patrol ship and an unmanned surveying ship, and performing sound velocity profile correction, attitude correction and tide level reduction to obtain a target irregular water area; unifying to the same space-time reference and plane rectangular coordinate system, and constructing an initial underwater terrain digital elevation model in an irregular water area range by adopting Gaussian weighted interpolation; defining an influence area by taking a hydraulic structure as a center, decomposing a local terrain into a background terrain and a scouring residual error, performing polar coordinate conversion and angular terrain spectrum analysis in the influence area, and calculating an axisymmetric form dominance index of the scouring pit; and constructing a topographic form shaping factor based on the axisymmetric form dominance index of the scouring pit, the maximum scouring depth and the influence radius, performing frequency domain modulation on the Fourier coefficient, and reconstructing the corrected local topography to obtain a final underwater topography DEM.

The utility model discloses a water area propeller and water area movable equipment. The water propeller is used for connecting a water carrier to propel the water carrier to move in the water. The water area propeller comprises a body and an operation device. A propelling device used for outputting propelling force for propelling the water area carrier to move is arranged at the end of the machine body. The operation device is rotationally connected to the end, away from the propelling device, of the fuselage body through a transverse connecting shaft, can be folded or unfolded with the fuselage body and is used for being operated by a user to control the water area propeller to operate. The operation device is provided with a first locking unit, the machine body is provided with a second locking unit, and when the operation device and the machine body are in a folded state, the first locking unit and the second locking unit lock the operation device and the machine body at the position between the transverse connecting shaft and the propelling device. And a suspension beam capable of loading the fuselage main body is formed between a locking position of the operating device between the first locking unit and the second locking unit and a connecting position of the operating device on the transverse connecting shaft.

The invention discloses a water surface unmanned ship path planning method for a narrow water area. The method comprises the following steps: S1, constructing an unmanned ship global-local collaborative path planning model; s2, navigation constraint and uncertain obstacle distribution for narrow water areas such as rivers and lakes are determined, a technical route adopts a'global-local-fusion 'three-layer collaborative framework, and through the method, the feasibility of a global path and the self-adaptability of local obstacle avoidance can be combined, so that the technical route is optimized; the path planning of continuous, safe and efficient motion planning of the unmanned ship in a narrow water area is realized.

The invention relates to the technical field of monitoring equipment, in particular to a hydrology and water resource automatic monitoring system and method.The hydrology and water resource automatic monitoring system comprises a floating module, a monitoring module and a regulation and control module, and when hydrology data monitoring needs to be conducted on a water area with the high flow speed, the overall length of a connecting module is adjusted according to the water depth; the monitoring module can reach the specified depth when the floating module floats on the water surface, the monitoring module monitors hydrological data of water at the specified depth, the regulation and control module is provided with a first regulation and control assembly and a second regulation and control assembly, the first regulation and control assembly is used for stabilizing the state of the monitoring module when water flow impacts the monitoring module, and the second regulation and control assembly is used for stabilizing the state of the monitoring module when water flow impacts the monitoring module. The probability that the monitoring module shakes is avoided, and then the probability that the floating module overturns is avoided; and the second regulation and control assembly is used for prolonging the contact duration of the water at the specified depth and the monitoring module, so that the interference of the water flow on the monitoring module is reduced, and the hydrological data monitoring accuracy of the monitoring module is improved.

The invention relates to the technical field of underwater topographic surveying and mapping, in particular to a sea area water taking channel scanning survey method and system based on multi-beam measurement, and the method comprises the following steps: constructing a rigid support, fixing a depth finder through a three-way cable fastening device, and building a Boolean parameter model; sound velocity, tide level and original echo data are collected; performing space-time registration, coordinate conversion and filtering denoising on the data to generate corrected water depth; and constructing an irregular triangulation network by using hard boundary constraint, generating a digital elevation model, and extracting a siltation area. According to the invention, multi-beam wide sector scanning and multi-sensor attitude correction technologies are fused, a limited water area full-coverage measurement system is constructed, and the problems of terrain blind areas and detail loss are solved. A boundary constraint reconstruction algorithm is utilized to realize closed-loop processing from coordinate reference unification to micro-landform restoration, the accuracy of channel bottom pit capture and edge topography expression is improved, and data support is provided for sedimentation analysis.

The invention relates to the technical field of ocean remote sensing monitoring, in particular to a remote sensing image-based warm discharge water reference temperature self-adaptive extraction method, which specifically comprises the steps of S01, data acquisition and preprocessing, S02, cumulative histogram generation, S03, curve fitting and smoothing, S04, second derivative calculation and S05, reference temperature determination. According to the method, the reference temperature is determined by analyzing the statistical distribution characteristics of the sea surface temperature data field, namely the form of the accumulative histogram, the physical demarcation point of the background water body and the warm drainage area on the temperature distribution is automatically positioned by using the second derivative, the process is completely driven by data, the interference of subjective factors is eliminated, and the accuracy of temperature distribution is improved. The method can automatically adapt to water areas with different geographical forms and different warm drainage diffusion modes, and objectivity and universality of reference temperature extraction are achieved.

The invention discloses a ship water gauge scale line fitting algorithm, and relates to the technical field of ship water gauge scale calculation, and the method comprises the steps: obtaining a ship water gauge region image through an image collection device to extract a measurement point coordinate, and building a mapping relation between a pixel position and a physical draft; a weighted least square method is adopted to perform nonlinear curve fitting, a weight coefficient is calculated based on a local neighborhood standard deviation, a polynomial order p is dynamically adjusted according to an adjusted decision coefficient, and the decision coefficient is iteratively optimized to improve the balance between amplitude and model complexity. And the system repeatedly corrects model parameters through a dynamic verification mechanism of the residual sum of squares and a preset threshold value, and finally an accurate water gauge scale fitting curve is generated. The method effectively solves the problems that traditional manual observation is prone to environmental interference and large in measurement error, high robustness is kept in a complex water area environment, and reliable data support can be provided for the fields of ship load evaluation, channel safety management and the like.

The utility model discloses a water area propeller and water area movable equipment. The water area propeller comprises a machine body, an operation device and a locking module. A propelling device used for outputting propelling force for propelling the water area carrier to move is arranged at the end of the machine body. The operation device is rotationally connected to the end, away from the propelling device, of the fuselage body through a transverse connecting shaft, can be folded or unfolded with the fuselage body and is used for being operated by a user to control the water area propeller to operate. The locking module comprises a first locking unit and a second locking unit, and the first locking unit and the second locking unit are arranged in the operation device and the machine body respectively. The suction force between the first locking unit and the second locking unit of the locking module locks the operating device and the fuselage body at the position between the transverse connecting shaft and the propelling device, and the operating device forms a cantilever beam capable of loading the fuselage body between the transverse connecting shaft and the locking module.

The invention relates to the technical field of water environment monitoring and water ecological protection, solves the technical problem that hydrology, water quality, vegetation and bottom mud monitoring are mutually dispersed and are difficult to correspond in the prior art, and particularly relates to a lakeside microenvironment composite monitoring pile and an ecological disturbance evaluation method. The composite monitoring piles sequentially comprise an overwater area, a variable water level zone monitoring area and an underwater area in the vertical direction, the bottoms of the composite monitoring piles are fixed to bottom mud, the multiple composite monitoring piles are arranged according to the water depth gradient of 0-20 cm, 20-50 cm and 50-100 cm, a hydrodynamic force disturbance index and a microenvironment response index are established by comparing base line and disturbance working condition monitoring results, a composite ecological disturbance index is established, and the water level zone monitoring area and the water level zone monitoring area are located in the bottom mud. The method is used for quantitatively evaluating lakeside disturbance intensity and engineering measure effects. According to the method, quantitative and graded evaluation of the ecological disturbance degree of the lakeside zone is realized, and a scientific basis is provided for lakeside zone revetment form optimization, ecological restoration measure arrangement and water function zone management.

The invention provides a polarization hyperspectral water quality monitoring system and method, and the system comprises a tower footing polarization hyperspectral imaging module which is disposed on a building beside a to-be-detected water area, and carries out the area array staring scanning of the to-be-detected water area through a polarization hyperspectral imager, so as to obtain a water body polarization hyperspectral image signal of the to-be-detected water area; the image spectral data processing module is used for deducting dark current and spurious signals from the water body polarization hyperspectral image signals, and calculating the water body spectral reflectivity of the water area to be measured according to the water body polarization hyperspectral image signals by combining a gray value and reflectivity relation model constructed by using the hyperspectral image signals of the gray scale calibration plate; and the water quality parameter spatial distribution inversion module is used for performing inversion on the to-be-detected water quality parameters of the to-be-detected water area according to a pre-constructed water quality parameter inversion model and the water body spectral reflectivity. According to the technical scheme, the integration level is high, the automation degree is high, rapid deployment can be achieved, and all-day continuous unattended monitoring can be achieved.

The utility model discloses a water supply assembly and a water supply device, and relates to the technical field of intelligent home furnishing, the water supply assembly and the water supply device mainly comprise a water containing piece, the upper surface of the water containing piece comprises a water dispersing area and a water containing area; the water dispersing area and the water containing area are arranged in the water flowing direction. The water containing area is sunken in the first axial direction, and the water dispersing area protrudes in the reverse direction of the first axial direction. Water flow flows to the water containing area through the water dispersing area, the water dispersing area is used for buffering and guiding the water flow, and the water containing area is used for containing water.

An electric submersible pump stage optimized for viscous fluid is provided. The stage can include a diffuser having a curved break water area. The stage can include an impeller having a cut back shroud and / or hub.

The invention belongs to the technical field of water area rescue practical training, and provides a torrent water channel and urban inland inundation combined practical training system which comprises a torrent water pump room, a water distribution pool, a training water channel, a training pool and an urban inland inundation training area. The training water channel communicates with the water distribution pool and the training pool. The urban inland inundation training area is communicated with the water distribution pool and the training pool. According to the system, a torrent water pump house, a water distribution pool, a training water channel, a training water pool and an urban inland inundation training area are integrated into an organic whole, and a parallel water channel is designed, so that a single system can provide two differentiated training environments of torrent rescue training and urban inland inundation rescue training at the same time. Flow regime areas such as a boiling line, a rolling flow, a covering flow, a smile flow, a rugosa flow and a vortex flow are arranged in the training water channel, and the most typical and dangerous water flow form in a natural river is systematically and completely reproduced. Therefore, learning and training personnel can learn and master skills of identifying and coping with various complex water flow forms in a continuous training water channel.

The invention discloses a water environment monitoring and early warning method based on multi-agent collaboration and a block chain, and relates to the technical field of water environment monitoring. The method comprises the following steps: collecting water quality parameters through monitoring equipment deployed in a water area, carrying out data cleaning and feature extraction on the water quality parameters through edge nodes, and executing lightweight anomaly detection; generating a data abstract from the monitoring data after edge processing, and writing the data abstract into a block chain network for credible evidence storage; each edge point serves as an independent agent, shares state data, performs task negotiation and distribution through a game theory algorithm based on a utility function, and performs uplink storage evidence on an intermediate result in a collaboration process; when the monitoring data meets a preset condition, each agent performs collaborative voting, and the intelligent contract automatically verifies a voting consensus and triggers an early warning event of a corresponding level; and according to the triggered early warning level, emergency equipment is automatically dispatched based on the priority queue for response, and an equipment execution result is fed back to a chain to form closed-loop management.

The invention provides an underwater target positioning method and system based on acoustic-magnetic combined detection, belongs to the technical field of underwater target detection, and aims at solving the problems of an existing method and system in the aspects of combined detection, accurate positioning, quick response and the like. The method comprises the following steps that sonar data and magnetic field data of a target water area are obtained, the sonar data are obtained through a plurality of sonar nodes, and the magnetic field data are obtained through a plurality of aircrafts; preprocessing the sonar data and the magnetic field data, and respectively generating a sonar response parameter and a magnetic compensation coefficient of the target water area; a plurality of sonar nodes are used for monitoring a target water area, and early warning signals of candidate targets are determined according to sonar response parameters; and determining a response aircraft from the plurality of aircrafts according to the early warning signal, collecting the current magnetic field data of the candidate target according to the position information through the response aircraft, processing the current magnetic field data based on the magnetic compensation coefficient, and determining the underwater target according to the processing result.

The utility model discloses a fishpond industrial aquaculture system which comprises an aquaculture unit used for aquaculture and separating circulating water and feces. The ecological purification unit is used for purifying circulating water and increasing oxygen, circulating water outlet of the breeding unit is connected with the ecological purification unit through a circulating water pipe, and return water purified and increased by the ecological purification unit is connected with the breeding unit through a return water pipe, so that the circulating water separated by the breeding unit is discharged to the ecological purification unit to be purified and increased oxygen and then flows back to the breeding unit; the precipitation unit is used for precipitating and concentrating the feces and is connected with the breeding unit so as to discharge the feces separated by the breeding unit to the precipitation unit for precipitation and concentration; the resourceful treatment unit is used for resourceful treatment of the feces, and the resourceful treatment unit is connected with the precipitation unit so as to discharge the feces precipitated and concentrated by the precipitation unit to the resourceful treatment unit for resourceful treatment; the culture unit and the ecological purification unit are both arranged in a water area, and the precipitation unit is arranged in or outside the water area. Water quality is improved; and cost is reduced.

The invention discloses an ice load calculation method suitable for upward-floating icebreaking of an ultra-large vehicle in a layer ice environment, and the method comprises the steps: carrying out the grid division of a layer ice environment and an ultra-large UUV geometric model, and obtaining an ultra-large UUV upward-floating icebreaking calculation model; the floating icebreaking calculation model comprises a layer ice rink geometric model after grid division and an ultra-large UUV model after grid division; fluid-solid coupling relation definition is carried out on the floating icebreaking calculation model, multiphase fluid-solid coupling unified solution of a water area, an air area, an ice layer and a boat body is achieved, identification, separation and calculation of ice loads in the floating icebreaking process are completed under a unified solution framework, and therefore the stability, precision and engineering applicability of load results are remarkably improved; and performing simulation calculation on floating icebreaking of the ultra-large UUV under each working condition by using the floating icebreaking calculation model to obtain the ice load borne by the ultra-large UUV at each moment.

The invention belongs to the technical field of hydrodynamics, and relates to a subsurface flow accurate measurement method and system based on an acoustic Doppler flow velocity profiler. The method comprises the following steps: measuring a target water area by using an acoustic Doppler current profiler; extracting at least one boundary feature parameter at the measurement point; constructing a physical-data fusion model and carrying out pre-training; inputting effective flow velocity data located above the measurement blind area in the original data of the flow velocity profile and the boundary characteristic parameters into a pre-trained physical-data fusion model; and outputting the subsurface flow velocity distribution in the measurement blind area and the key statistic and confidence interval of the subsurface flow velocity distribution. According to the method, the respective defects of an existing physical model and an existing data driving model can be overcome, a subsurface flow accurate measurement method integrating physical interpretability and environment adaptability is provided, a traceable and verifiable model training and evaluation benchmark is provided, and the subsurface flow measurement accuracy in a complex environment is remarkably improved.

The invention provides an underwater structure crack detection method for underwater image enhancement of a turbid water area, and the method comprises the steps: collecting water quality parameters in real time through a plurality of sensors integrated at a front end, constructing an environment feature encoder in combination with a neural network, and mapping an environment state to a physical prior generation network to predict transmissivity and a channel attenuation coefficient. The prior information guides an image defogging and color recovery module, combines enhanced image definition feedback, dynamically optimizes network weight, and adopts synthesis and real data mixed training and loss function adaptive adjustment to improve the adaptability of the model to a complex underwater environment and the image enhancement effect. According to the invention, high-quality recovery and color correction of underwater images under different water body conditions are realized.

The invention relates to the technical field of image data processing, in particular to an MBR water production turbidity detection method and system based on image processing, and the method comprises the steps: obtaining an original image of an MBR water production pipeline, and extracting a water body region by using a mask matrix; calculating the local contrast of the pixel points relative to the neighborhood, constructing a suppression weight based on the noise standard deviation of the image sensor, and weighting the local contrast to obtain scattering response intensity; obtaining the texture disorder degree based on the ratio of the geometric mean value to the arithmetic mean value of the feature values of the structure tensor; the particle confidence is obtained based on the scattering response intensity and the texture disorder degree, the weighted particle confidence is obtained through weighting of a Sigmoid function, and the average value of the particle confidence is calculated to serve as the comprehensive turbidity so as to evaluate the water production state. The scattering response intensity and the texture disorder degree are fused, a weight suppression and soft threshold mechanism is introduced, pipe wall scratches and thermal noise interference are reduced, and the detection accuracy is improved.

The invention provides a method and a device for identifying multi-trophic-level aquatic biocenosis stability influence factors, and relates to the technical field of aquatic ecosystem analysis. The method comprises the following steps: acquiring a water body physicochemical parameter data set and a multi-trophic-level aquatic biocenosis data set of a plurality of sampling points of a target water area; constructing a species association network system for stability calculation based on the multi-trophic-level aquatic organism community data set; calculating a stability index representing the overall stability of the community based on the network system; and finally, analyzing the contribution degree of the water physical and chemical parameter data set to the stability index by utilizing a machine learning model, and identifying the key influence factor according to the contribution degree. According to the method, the key physical and chemical factors influencing the stability of the ecological system can be systematically and accurately identified by integrating the multi-nutrition-level community structure and machine learning, and the targeting and management efficiency of the restoration of the water ecological system are improved.

The invention discloses a multi-parameter linkage water quality sampling method and system, and relates to the field of water quality sampling, and the method comprises the steps: obtaining hydrological data, main transportation path data and pollutant discharge data; setting water area sampling points of the target monitoring water area according to the hydrological data, the pollutant emission data and the main transportation path data; water quality sampling is conducted on the water area surface sampling points and the water area vertical sampling points; verifying the validity of the sampling point data, and determining the validity of the water area surface sampling points and the water area vertical sampling points according to the validity verification result; acquiring water quality monitoring data of the water area surface sampling points and the water area vertical sampling points; calculating a pollution source linkage index according to the water quality monitoring data, and determining a pollution emission event type; determining a time sequence phase definition for the pollution event based on the pollution emission event type and the water quality monitoring data; and determining the corresponding water quality sampling frequency and water quality sampling volume by combining with the time sequence stage definition. The accuracy of water quality monitoring can be effectively improved.

The invention relates to the technical field of simulation control, in particular to a water quality adaptability simulation control method based on a fishery breeding scene. The method comprises the following steps: acquiring real-time water quality monitoring data, cultured organism growth state data and environmental meteorological data corresponding to a fishery culture water area, performing standardized preprocessing, and constructing a water quality-organism-environment multi-dimensional incidence matrix; constructing a water quality adaptability simulation model by using the water quality-biology-environment multi-dimensional incidence matrix, simulating corresponding water quality parameter evolution processes under different environment variable combinations, and generating a water quality dynamic simulation data set; determining an optimal water quality parameter interval based on the water quality dynamic simulation data set; according to the optimal water quality parameter interval, a dynamic regulation and control strategy is formulated for comparative analysis, and a water quality regulation and control deviation value is generated; based on the water quality regulation and control deviation value, driving water quality regulation equipment corresponding to the fishery breeding water area to execute adaptive control operation and display. According to the invention, the water quality control efficiency of fishery breeding can be improved.