A river environment optimization method and system combined with finless porpoise habitat simulation

Abstract

The present application provides a method and system for optimizing the river environment in combination with the simulation of the finless porpoise habitat, and relates to the field of environmental optimization technology. The method includes: establishing an initial three-dimensional model; obtaining real-time coarse-grained time, and traversing to obtain predicted hydrological information; mapping and rendering the finless porpoise distribution image set and the predicted hydrological information to the initial three-dimensional model to obtain a target three-dimensional model; introducing a distribution characteristic identification evaluation function pair to obtain a first finless porpoise distribution index; obtaining a descending list of target coordinate positions; and generating a target river environment optimization strategy. The present application can solve the technical problems in the prior art that it is impossible to fully understand the comprehensive situation of the river area, and it is impossible to monitor the distribution information of the finless porpoise by effective means, resulting in a lack of scientific basis and pertinence in the optimization of the river environment, and it is difficult to effectively improve the habitat of the finless porpoise, thereby achieving the technical effect of promoting the healthy and sustainable development of the river ecosystem and improving the living environment of the finless porpoise.

Description

Technical Field

[0001] The present application relates to the field of environmental optimization technology, and in particular to a river environment optimization method and system combined with finless porpoise habitat simulation. Background Art

[0002] With the continuous improvement of environmental protection awareness, the protection of rare aquatic organisms such as the finless porpoise has received more and more attention. As a rare protected animal, the protection of the living environment of the finless porpoise is of great significance to maintaining ecological balance. However, traditional finless porpoise protection methods mainly rely on manual observation and empirical judgment, which has certain limitations. Therefore, the use of modern information technology, especially three-dimensional modeling technology and big data analysis technology, to carry out refined management of the living environment of the finless porpoise has become a hot topic in current research. However, there are still many problems in the existing technology. First, in traditional river basin research, topographic information and hydrological information are usually processed separately, which makes it difficult to fully understand the comprehensive situation of the river basin and affects the accurate assessment and management decision-making of the river basin environment. Secondly, it is difficult to monitor and evaluate the distribution of finless porpoises. Traditional monitoring methods are inefficient and it is difficult to obtain the distribution information of finless porpoises in real time and accurately. In addition, the optimization of river basin environment lacks scientific basis and pertinence, and it is difficult to effectively improve the habitat of aquatic organisms such as finless porpoises.

[0003] In summary, the existing technology is unable to fully understand the comprehensive situation of the river area, and is unable to monitor the distribution information of the finless porpoise through effective means, resulting in a lack of scientific basis and specificity in the optimization of the river environment, and it is difficult to effectively improve the habitat of the finless porpoise. Summary of the invention

[0004] The purpose of this application is to provide a river environment optimization method and system combined with finless porpoise habitat simulation, so as to solve the problem that in the conventional river research in the prior art, terrain information and hydrological information are usually processed separately, which makes it difficult to fully understand the comprehensive situation of the river, affects the accurate assessment and management decision-making of the river environment, and in addition, there are difficulties in the monitoring and assessment of the distribution of finless porpoises, and the traditional monitoring methods are inefficient, making it difficult to obtain the distribution information of finless porpoises in real time and accurately, which further leads to the lack of scientific basis and pertinence in the optimization of the river environment, and the technical problem that it is difficult to effectively improve the habitat of finless porpoises.

[0005] In view of the above problems, the present application provides a river environment optimization method and system combined with finless porpoise habitat simulation.

[0006] In the first aspect, the present application provides a river environment optimization method combined with finless porpoise habitat simulation, and the river environment optimization method combined with finless porpoise habitat simulation is implemented by a river environment optimization system combined with finless porpoise habitat simulation, wherein the river environment optimization method combined with finless porpoise habitat simulation includes: establishing an initial three-dimensional model according to target terrain information of the target river area; obtaining real-time coarse-grained time, and traversing and analyzing in the river hydrological database based on the real-time coarse-grained time to obtain predicted hydrological information; mapping and rendering the finless porpoise distribution image set collected by multi-eye monitoring equipment and the predicted hydrological information to the initial three-dimensional model to obtain a target three-dimensional model; introducing a distribution characteristic recognition evaluation function to evaluate the finless porpoise distribution state of the first coordinate position of the target three-dimensional model to obtain a first finless porpoise distribution index, wherein the expression of the distribution characteristic recognition evaluation function is as follows: ;

[0007] in, refers to the distribution characteristic identification evaluation function, refers to the first coordinate position, refers to the first coordinate position that affects the distribution of finless porpoises. Factors, refers to the The weight coefficients of factors affecting the distribution of finless porpoises include water depth factor, flow velocity factor and water quality factor; the first coordinate positions are arranged in descending order based on the first finless porpoise distribution index to obtain a descending list of target coordinate positions; a target river environment optimization strategy is generated based on the top coordinate position in the descending list of target coordinate positions, wherein the target river environment optimization strategy includes water depth optimization decision, flow velocity optimization decision and water quality optimization decision; and river environment optimization processing is performed on non-top coordinate positions in the descending list of target coordinate positions according to the target river environment optimization strategy.

[0008] In the second aspect, the present application also provides a river environment optimization system combined with finless porpoise habitat simulation, which is used to execute a river environment optimization method combined with finless porpoise habitat simulation as described in the first aspect, wherein the river environment optimization system combined with finless porpoise habitat simulation includes: a model building module, which is used to establish an initial three-dimensional model according to the target terrain information of the target river area; a hydrological prediction module, which is used to obtain real-time coarse-grained time, and traverse and analyze in the river hydrological database based on the real-time coarse-grained time to obtain predicted hydrological information; a model rendering module, which is used to map and render the finless porpoise distribution image set collected by multi-eye monitoring equipment and the predicted hydrological information to the initial three-dimensional model to obtain a target three-dimensional model; a finless porpoise distribution evaluation module, which is used to introduce a distribution characteristic recognition evaluation function to evaluate the finless porpoise distribution state of the first coordinate position of the target three-dimensional model to obtain a first finless porpoise distribution index, wherein the expression of the distribution characteristic recognition evaluation function is as follows: ;

[0009] in, refers to the distribution characteristic identification evaluation function, refers to the first coordinate position, refers to the first coordinate position that affects the distribution of finless porpoises. Factors, refers to the The weight coefficients of factors affecting the distribution of finless porpoises include water depth factor, flow rate factor and water quality factor; a descending arrangement module is used to arrange the first coordinate positions in descending order based on the first finless porpoise distribution index to obtain a descending list of target coordinate positions; an optimization strategy module is used to generate a target river environment optimization strategy based on the top coordinate position in the descending list of target coordinate positions, wherein the target river environment optimization strategy includes water depth optimization decision, flow rate optimization decision and water quality optimization decision; an optimization execution module is used to perform river environment optimization processing on non-top coordinate positions in the descending list of target coordinate positions according to the target river environment optimization strategy.

[0010] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0011] By establishing an initial three-dimensional model according to the target terrain information of the target river area; obtaining real-time coarse-grained time, and traversing and analyzing in the river hydrological database based on the real-time coarse-grained time, the predicted hydrological information is obtained; the finless porpoise distribution image set collected by the multi-eye monitoring equipment and the predicted hydrological information are mapped and rendered to the initial three-dimensional model to obtain the target three-dimensional model; introducing the distribution characteristic recognition evaluation function to evaluate the finless porpoise distribution state of the first coordinate position of the target three-dimensional model to obtain the first finless porpoise distribution index; arranging the first coordinate position in descending order based on the first finless porpoise distribution index to obtain a descending list of target coordinate positions; generating a target river environment optimization strategy based on the top coordinate position in the descending list of the target coordinate position; and optimizing the river environment of the non-top coordinate positions in the descending list of the target coordinate position according to the target river environment optimization strategy. That is to say, first, an initial three-dimensional model is established, which is constructed according to the terrain information of the target river area. Then, by obtaining real-time coarse-grained time and analyzing in the river hydrological database, the predicted hydrological information is obtained. Then, the image set of finless porpoise distribution collected by multi-eye monitoring equipment is combined with the predicted hydrological information to map and render this information onto the initial three-dimensional model, thereby obtaining the target three-dimensional model. Next, a distribution characteristic recognition evaluation function is introduced to evaluate the distribution status of finless porpoises at the first coordinate position in the target three-dimensional model and obtain the first finless porpoise distribution index. Then, based on this index, the first coordinate position is arranged in descending order to generate a descending list of target coordinate positions. In addition, based on the top coordinate position in this descending list, an environmental optimization strategy for the target river area is generated. Finally, according to this optimization strategy, the river environment is optimized for the non-top coordinate positions in the descending list. By establishing the initial three-dimensional model of the target river area and integrating the terrain and hydrological information, the three-dimensional visualization display and comprehensive analysis of the river area are realized, so as to fully understand the comprehensive situation of the river area. Then, combined with the real-time monitoring of the distribution of finless porpoises, the technical goal of optimizing the river environment in a targeted manner and improving the overall quality of the finless porpoise habitat can be achieved, achieving the technical effect of promoting the healthy and sustainable development of the river ecosystem and improving the living environment of finless porpoises.

[0012] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented according to the contents of the specification, and in order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are specifically cited below. It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easy to understand through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] In order to more clearly illustrate the technical solutions in the present application or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0014] Figure 1 A schematic diagram of a process for optimizing river environment combined with finless porpoise habitat simulation for this application;

[0015] Figure 2 This is a schematic diagram of the structure of a river environment optimization system combined with finless porpoise habitat simulation for this application.

[0016] Description of reference numerals:

[0017] Model building module 11, hydrological prediction module 12, model rendering module 13, finless porpoise distribution assessment module 14, descending order arrangement module 15, optimization strategy module 16, optimization execution module 17. DETAILED DESCRIPTION

[0018] This application provides a river environment optimization method and system combined with the simulation of the finless porpoise habitat, which solves the problem that the terrain information and hydrological information in the traditional river research in the prior art are usually processed separately, which makes it difficult to fully understand the comprehensive situation of the river, affecting the accurate assessment and management decision-making of the river environment. In addition, there are difficulties in monitoring and evaluating the distribution of finless porpoises. Traditional monitoring methods are inefficient and it is difficult to obtain the distribution information of finless porpoises in real time and accurately, which further leads to the lack of scientific basis and pertinence in river environment optimization and the technical problem of difficulty in effectively improving the habitat of finless porpoises. By establishing an initial three-dimensional model of the target river and integrating terrain and hydrological information, a three-dimensional visual display and comprehensive analysis of the river can be achieved, so as to fully understand the comprehensive situation of the river. Then, combined with the real-time monitoring of the distribution of finless porpoises, it is possible to achieve the technical goal of optimizing the river environment in a targeted manner and improving the overall quality of the finless porpoise habitat, thus achieving the technical effect of promoting the healthy and sustainable development of the river ecosystem and improving the living environment of finless porpoises.

[0019] Below, the technical solutions in the present application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments of the present application. It should be understood that the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application. It should also be noted that, for the convenience of description, only the parts related to the present application are shown in the accompanying drawings, rather than all of them.

[0020] For example, please refer to the attached Figure 1 The present application provides a river environment optimization method combined with finless porpoise habitat simulation, wherein the method is applied to a river environment optimization system combined with finless porpoise habitat simulation, and the river environment optimization method combined with finless porpoise habitat simulation specifically includes the following steps:

[0021] Step P10: Establishing an initial three-dimensional model based on target terrain information of the target river area;

[0022] Furthermore, the present application includes:

[0023] Sequentially acquiring digital elevation model data, underwater topographic survey data and riverbank vector data of the target river area to form initial topographic information;

[0024] The initial terrain information is subjected to denoising, filtering, and interpolation preprocessing to obtain the target terrain information.

[0025] Specifically, by obtaining the digital elevation model data, underwater topographic survey data and riverbank vector data of the target river area, and performing denoising, filtering and interpolation preprocessing on them, accurate target terrain information can be obtained. In this way, the authenticity and accuracy of the three-dimensional model can be ensured, providing a reliable basis for subsequent environmental monitoring and assessment. The digital elevation model data, underwater topographic survey data and riverbank vector data of the target river area are obtained in sequence to form the initial terrain information. The initial terrain information is preprocessed by denoising, filtering, interpolation and other operations to eliminate noise and errors in the data and improve the accuracy and smoothness of the data. In this way, more accurate target terrain information can be obtained, providing a data basis for establishing the initial three-dimensional model. By accurately modeling the terrain of the target river area, a reliable basis is provided for subsequent environmental monitoring and assessment. In this way, the characteristics and changes of the living environment of the finless porpoise can be better understood, providing strong technical support for the protection of the finless porpoise.

[0026] Step P20: obtaining real-time coarse-grained time, and traversing and analyzing the river basin hydrological database based on the real-time coarse-grained time to obtain predicted hydrological information;

[0027] Furthermore, the present application includes:

[0028] Randomly obtain any full-cycle hydrological data group in the river basin hydrological database;

[0029] The full-cycle hydrological data set is screened according to the real-time coarse-grained time to obtain a reference hydrological data set;

[0030] Obtain any hydrological indicator, and traverse the referenceable hydrological data group to obtain any hydrological data time series of the any hydrological indicator;

[0031] Performing hydrological data density analysis on the arbitrary hydrological data time series to obtain arbitrary prediction data of the arbitrary hydrological index;

[0032] The predicted hydrological information is constructed based on the arbitrary predicted data.

[0033] Furthermore, the present application includes:

[0034] Performing fast Fourier transform processing on the arbitrary hydrological data time series to obtain an arbitrary hydrological data spectrum;

[0035] Performing spectral density analysis on the frequency spectrum of the arbitrary hydrological data to obtain a maximum spectral density interval;

[0036] The mean value of the hydrological data corresponding to the maximum spectral density interval is recorded as the arbitrary prediction data.

[0037] Specifically, firstly, the real-time coarse-grained time is obtained, and the data in the river basin hydrological database is traversed and analyzed to obtain the predicted hydrological information. Then, the data in the river basin hydrological database is traversed and analyzed by the real-time coarse-grained time. Finally, the predicted hydrological information is obtained by traversing and analyzing the river basin hydrological database based on the real-time coarse-grained time.

[0038] Further, the predicted hydrological information is obtained by analyzing the river basin hydrological database. The key to this process is to use real-time coarse-grained time to screen the full-cycle hydrological data group to obtain a reference hydrological data group. Among them, the real-time coarse-grained time refers to the real-time moment of analyzing the hydrological information of the river basin when optimizing the environment of the target river basin, but it is not accurate to a few hours, minutes and seconds, but a moment in a full cycle. For example, if the cycle of a hydrological data group is one year, the corresponding coarse-grained time may be a certain month. Then, by traversing the reference hydrological data group, any hydrological data time series of any hydrological indicator is obtained, and hydrological data density analysis is performed on these data time series to obtain any predicted data of any hydrological indicator. Finally, based on these predicted data, the predicted hydrological information is formed. Next, the arbitrary hydrological data time series is processed by fast Fourier transform to obtain any hydrological data spectrum. Then, the spectrum density analysis is performed on the spectrum of any hydrological data to obtain the maximum spectrum density interval. Among them, the spectrum density analysis is used to determine the area with high energy distribution in the spectrum, that is, the main frequency component in the data. Next, the mean of the hydrological data corresponding to the maximum spectral density interval is recorded as arbitrary prediction data. Through fast Fourier transform and spectral density analysis, the technical solution can extract key periodic features from historical hydrological data and predict future hydrological conditions based on them. In this way, more accurate hydrological prediction information can be provided for the protection of finless porpoises and help formulate effective protection strategies.

[0039] Step P30: mapping and rendering the finless porpoise distribution image set collected by the multi-eye monitoring equipment and the predicted hydrological information to the initial three-dimensional model to obtain a target three-dimensional model;

[0040] Specifically, a multi-eye monitoring device was used to collect a set of images of the distribution of finless porpoises, and multiple monitoring points were deployed to ensure the comprehensiveness and accuracy of the image sets. These image sets were then combined with predicted hydrological information to match the actual distribution of finless porpoises with the predicted hydrological information. In this way, the relationship between the distribution of finless porpoises and hydrological conditions can be better understood, providing a scientific basis for the protection of finless porpoises. Next, the combined information was mapped and rendered to the initial three-dimensional model, which not only enabled the distribution of finless porpoises and hydrological information to be intuitively displayed in three-dimensional space, but also enabled researchers to observe and analyze these data from multiple angles. This three-dimensional visualization helps to reveal the characteristics and changing laws of the living environment of finless porpoises. Finally, the target three-dimensional model was obtained, which included the actual distribution of finless porpoises and also integrated the predicted hydrological information. In this way, researchers can better predict the distribution trend of finless porpoises and provide strong technical support for the protection of finless porpoises.

[0041] Through the above steps, the integration of finless porpoise distribution and hydrological information is achieved, providing an intuitive three-dimensional visualization expression for finless porpoise protection work, which can better understand the characteristics and changing patterns of the finless porpoise's living environment and provide strong technical support for finless porpoise protection work.

[0042] Step P40: introducing a distribution characteristic recognition evaluation function to evaluate the finless porpoise distribution state at the first coordinate position of the target three-dimensional model to obtain a first finless porpoise distribution index;

[0043] Furthermore, the present application includes:

[0044] The expression of the distribution characteristic identification evaluation function is as follows: ;in, refers to the distribution characteristic identification evaluation function, refers to the first coordinate position, refers to the first coordinate position that affects the distribution of finless porpoises. Factors, refers to the The factors affecting the distribution of finless porpoises include water depth, flow velocity and water quality.

[0045] Specifically, the core is to introduce the distribution characteristic recognition and evaluation function, evaluate the distribution state of finless porpoises at the first coordinate position of the target three-dimensional model, and obtain the first finless porpoise distribution index. Secondly, the distribution characteristic recognition and evaluation function is introduced.

[0046] First, the specific form and parameters of the evaluation function need to be determined. The selection of the evaluation function should be based on a deep understanding of the distribution characteristics of the finless porpoise, including factors such as the activity range, habitat preference, and food source of the finless porpoise. Then, the first coordinate position of the target three-dimensional model is used as input and substituted into the evaluation function for calculation. Next, the first finless porpoise distribution index is obtained based on the output of the evaluation function. This index is a quantitative indicator that reflects the distribution density and activity frequency of the finless porpoise at a specific location. In order to improve the accuracy of the evaluation, it is also possible to consider introducing more distribution characteristic identification evaluation functions to evaluate multiple coordinate positions, so as to obtain a more comprehensive distribution status of the finless porpoise. In addition, other data sources, such as satellite remote sensing data and field survey data, can be combined to enhance the reliability and practicality of the evaluation results. In addition, during the evaluation process, the biological characteristics and ecological environment changes of the finless porpoise can also be considered. For example, the breeding season, migration route, and distribution of food resources of the finless porpoise will affect its distribution status. Therefore, the evaluation function should be able to adapt to these changes to provide accurate evaluation results. Finally, by introducing the distribution characteristic identification evaluation function and evaluating the distribution status of the finless porpoise based on the first coordinate position of its target three-dimensional model, a quantitative evaluation of the distribution status of the finless porpoise was achieved.

[0047] The expression of the distribution characteristic identification evaluation function is as follows: ;in, refers to the distribution characteristic identification evaluation function, refers to the first coordinate position, refers to the first coordinate position that affects the distribution of finless porpoises. Factors, refers to the The factors affecting the distribution of finless porpoises include water depth, flow velocity and water quality.

[0048] That is to say, through expert decision analysis, the main environmental factors affecting the distribution of finless porpoises are determined, including water depth, water flow velocity and water quality conditions under environmental conditions, and then a distribution characteristic identification evaluation function is preset to predict and evaluate the distribution of finless porpoises through environmental condition analysis, so as to achieve the goal of quantifying the distribution status of finless porpoises.

[0049] Step P50: Arranging the first coordinate positions in descending order based on the first finless porpoise distribution index to obtain a descending list of target coordinate positions;

[0050] Specifically, first, the first coordinate position is arranged in descending order based on the first finless porpoise distribution index. This step sorts the first coordinate position according to the density and activity frequency of the finless porpoise distribution, thereby obtaining a descending list of the target coordinate positions. Then, after obtaining the descending list of the target coordinate positions, a more in-depth analysis and evaluation can be carried out. For example, a comprehensive evaluation of each coordinate position in the list can be conducted in combination with other environmental factors, such as water quality, water temperature, and human activity interference. In this way, a more comprehensive understanding of the survival status of the finless porpoise can be obtained, providing a more scientific and comprehensive basis for the protection of the finless porpoise. Finally, by arranging the first coordinate position in descending order based on the first finless porpoise distribution index, a quantitative evaluation and sorting of the distribution status of the finless porpoise is achieved.

[0051] Step P60: Generate a target river environment optimization strategy based on the top coordinate position in the descending list of target coordinate positions;

[0052] Specifically, first, the target river environment optimization strategy is generated based on the top coordinate position in the descending list of target coordinate positions. The top coordinate position refers to the first coordinate position in the descending list of the target coordinate positions. The environmental conditions corresponding to this coordinate position are very suitable for the survival and reproduction of the finless porpoise. Therefore, based on these areas, an environmental optimization strategy is formulated to protect and improve the key habitats of the finless porpoise. Then, when generating the environmental optimization strategy, multiple factors need to be considered comprehensively. For example, the hydrological conditions, water quality conditions, food resource distribution, etc. of the top coordinate position can be analyzed to determine which environmental factors are critical to the survival of the finless porpoise. In addition, it is also necessary to evaluate the impact of human activities on these areas, such as shipping, fisheries, water pollution, etc., and formulate corresponding measures to reduce negative impacts. Finally, by generating the target river environment optimization strategy based on the top coordinate position, the technical solution aims to protect and improve the key habitats of the finless porpoise. In this way, it can ensure that the finless porpoise has a suitable living environment and promote the recovery and growth of its population.

[0053] Step P70: performing river environment optimization processing on non-top coordinate positions in the descending list of target coordinate positions according to the target river environment optimization strategy;

[0054] Specifically, first, according to the target river environment optimization strategy, the river environment optimization treatment is carried out for the non-top coordinate positions in the descending list of target coordinate positions. This step is to further optimize other important areas on the basis of the analysis and strategy formulation of the top coordinate positions. Although the non-top coordinate positions are not high-density areas of finless porpoise activities like the top coordinate positions, they are still an important part of the living environment of finless porpoises and have an important impact on the migration and resource utilization of finless porpoises. Then, when implementing the river environment optimization treatment, a variety of environmental factors and management measures need to be considered. For example, the water quality of non-top coordinate positions can be improved, wetlands and shoreline vegetation can be restored and protected, pollutant emissions can be reduced, and fishery activities can be adjusted. These measures are aimed at enhancing the ecological value of these areas and providing more habitat and foraging space for finless porpoises. Finally, by optimizing the river environment treatment of non-top coordinate positions, the ecological quality of the entire river basin is further improved, which helps to build a healthier and more sustainable finless porpoise habitat. In this way, it is not only conducive to the long-term survival and reproduction of the finless porpoise population, but also provides support for the protection of other aquatic organisms and the restoration of the entire river ecosystem.

[0055] Furthermore, the present application also includes:

[0056] Matching a first image at the first coordinate position in the finless porpoise distribution image set;

[0057] Performing color feature calculation on the first image to obtain a first color value, and matching a first finless porpoise distribution level corresponding to the first color value;

[0058] The first finless porpoise distribution index is verified based on the first finless porpoise distribution level.

[0059] Furthermore, the present application includes:

[0060] Performing block processing on the first image to obtain a first block set;

[0061] Performing color feature analysis on a first block in the first block set to obtain a first color feature value;

[0062] Performing color feature analysis on a second block in the first block set to obtain a second color feature value;

[0063] A mode value of the first color feature value and the second color feature value is taken as the first color value of the first image.

[0064] Specifically, first, the first image of the first coordinate position is matched in the finless porpoise distribution image set. This step is to obtain visual information of the finless porpoise distribution corresponding to the specific coordinate position. Then, the color feature of the first image is calculated to obtain the first color value. The calculation of the color feature can reflect the color distribution and intensity in the image, thereby providing quantitative information about the distribution of finless porpoises. Next, the first finless porpoise distribution level corresponding to the first color value is matched. This step associates the color feature with the density or activity level of the finless porpoise distribution, thereby providing a basis for subsequent verification. Based on the first finless porpoise distribution level, the first finless porpoise distribution index is verified. This process helps to verify the accuracy and reliability of the distribution index and ensure the validity of the evaluation results. Further, the present application includes block processing of the first image to obtain a first block set. The block processing is to analyze the color features in the image more carefully, thereby improving the accuracy of the analysis. The color feature analysis is performed on each block in the first block set to obtain the respective color feature value. Then, the mode value of the first color feature value and the second color feature value is taken as the first color value of the first image. In this way, the color information of multiple blocks can be integrated to obtain more comprehensive and representative color features for matching the distribution level of finless porpoises and verifying the distribution index. The color feature analysis and verification of finless porpoise distribution images are realized, which improves the accuracy and reliability of the evaluation of finless porpoise distribution status.

[0065] Furthermore, the present application includes:

[0066] Obtaining top-level water depth data of the top-level coordinate position;

[0067] Obtaining top-level flow velocity data at the top-level coordinate position;

[0068] Obtaining top-level water quality data at the top-level coordinate position;

[0069] The top-level environmental information composed of the top-level water depth data, the top-level flow velocity data and the top-level water quality data is used as the target river environment optimization strategy.

[0070] Furthermore, the present application includes:

[0071] Extract any non-top-level coordinate position among the non-top-level coordinate positions;

[0072] Determine whether any water depth data at any non-top-level coordinate position is higher than the top-level water depth data;

[0073] If it is not higher than that, generate a water depth optimization decision;

[0074] Determine whether any flow rate data at any non-top-level coordinate position is lower than the top-level flow rate data;

[0075] If it is not lower than that, generate flow rate optimization decision;

[0076] Determine whether any water quality data at any non-top-level coordinate position is higher than the top-level water quality data;

[0077] If it is not higher than that, generate water quality optimization decision;

[0078] The water depth optimization decision, the flow velocity optimization decision and the water quality optimization decision constitute the target river environment optimization strategy.

[0079] Specifically, first, the top water depth data, top flow velocity data, and top water quality data of the top coordinate location are obtained. These data are key indicators for evaluating the environmental quality of the river basin and have a direct impact on the survival and activities of the finless porpoise. As the area where the finless porpoises are most active, the environmental data of the top coordinate location is regarded as the standard for optimizing the environment of other areas. Then, the top water depth data, top flow velocity data, and top water quality data are combined into top environmental information. This step is to establish a comprehensive environmental quality reference standard in order to optimize the environment of non-top coordinate locations. Top environmental information is the basis for formulating environmental optimization strategies for target river basins.

[0080] Further, extract any non-top-level coordinate position among the non-top-level coordinate positions. Evaluate the environmental data of these positions to determine whether optimization is needed. First, determine whether the water depth data of any non-top-level coordinate position is higher than the top-level water depth data. If not, generate a water depth optimization decision, which may include increasing the water depth or improving the distribution of the water depth. Next, determine whether the flow velocity data of any non-top-level coordinate position is lower than the top-level flow velocity data. If not, generate a flow velocity optimization decision, which may involve adjusting the water flow velocity or improving the water flow conditions. Finally, determine whether the water quality data of any non-top-level coordinate position is higher than the top-level water quality data. If not, generate a water quality optimization decision, which may include reducing pollutant emissions or improving water quality treatment.

[0081] Finally, the water depth optimization decision, flow velocity optimization decision and water quality optimization decision together constitute the target river environment optimization strategy. This strategy aims to improve the environmental quality of non-top coordinate locations to a level comparable to that of top coordinate locations, thereby providing a more extensive and suitable living environment for finless porpoises. By implementing these optimization decisions, the health and stability of the entire river ecosystem can be promoted, contributing to the protection of finless porpoises and other aquatic organisms.

[0082] In summary, the river environment optimization method combined with finless porpoise habitat simulation provided by this application has the following technical effects:

[0083] By establishing an initial three-dimensional model according to the target terrain information of the target river area; obtaining real-time coarse-grained time, and traversing and analyzing in the river hydrological database based on the real-time coarse-grained time, the predicted hydrological information is obtained; the finless porpoise distribution image set collected by the multi-eye monitoring equipment and the predicted hydrological information are mapped and rendered to the initial three-dimensional model to obtain the target three-dimensional model; introducing the distribution characteristic recognition evaluation function to evaluate the finless porpoise distribution state of the first coordinate position of the target three-dimensional model to obtain the first finless porpoise distribution index; arranging the first coordinate position in descending order based on the first finless porpoise distribution index to obtain a descending list of target coordinate positions; generating a target river environment optimization strategy based on the top coordinate position in the descending list of the target coordinate position; and optimizing the river environment of the non-top coordinate positions in the descending list of the target coordinate position according to the target river environment optimization strategy. That is to say, first, an initial three-dimensional model is established, which is constructed according to the terrain information of the target river area. Then, by obtaining real-time coarse-grained time and analyzing in the river hydrological database, the predicted hydrological information is obtained. Then, the image set of finless porpoise distribution collected by multi-eye monitoring equipment is combined with the predicted hydrological information to map and render this information onto the initial three-dimensional model, thereby obtaining the target three-dimensional model. Next, a distribution characteristic recognition evaluation function is introduced to evaluate the distribution status of finless porpoises at the first coordinate position in the target three-dimensional model and obtain the first finless porpoise distribution index. Then, based on this index, the first coordinate position is arranged in descending order to generate a descending list of target coordinate positions. In addition, based on the top coordinate position in this descending list, an environmental optimization strategy for the target river area is generated. Finally, according to this optimization strategy, the river environment is optimized for the non-top coordinate positions in the descending list. By establishing the initial three-dimensional model of the target river area and integrating the terrain and hydrological information, the three-dimensional visualization display and comprehensive analysis of the river area are realized, so as to fully understand the comprehensive situation of the river area. Then, combined with the real-time monitoring of the distribution of finless porpoises, the technical goal of optimizing the river environment in a targeted manner and improving the overall quality of the finless porpoise habitat can be achieved, achieving the technical effect of promoting the healthy and sustainable development of the river ecosystem and improving the living environment of finless porpoises.

[0084] Embodiment 2: Based on the same inventive concept as the river environment optimization method combined with finless porpoise habitat simulation in the aforementioned embodiment, the present application also provides a river environment optimization system combined with finless porpoise habitat simulation, please refer to the attached Figure 2 The river environment optimization system combined with the finless porpoise habitat simulation comprises:

[0085] A model building module 11 is used to build an initial three-dimensional model according to target terrain information of the target river area;

[0086] The hydrological prediction module 12 is used to obtain real-time coarse-grained time, and traverse and analyze the river basin hydrological database based on the real-time coarse-grained time to obtain predicted hydrological information;

[0087] The model rendering module 13 is used to map and render the finless porpoise distribution image set collected by the multi-eye monitoring equipment and the predicted hydrological information to the initial three-dimensional model to obtain a target three-dimensional model;

[0088] The finless porpoise distribution evaluation module 14 is used to introduce a distribution characteristic recognition evaluation function to evaluate the finless porpoise distribution state at the first coordinate position of the target three-dimensional model to obtain a first finless porpoise distribution index;

[0089] A descending order arrangement module 15 is used to arrange the first coordinate positions in descending order based on the first finless porpoise distribution index to obtain a descending list of target coordinate positions;

[0090] An optimization strategy module 16, used to generate a target river environment optimization strategy based on the top coordinate position in the descending list of target coordinate positions;

[0091] The optimization execution module 17 is used to perform river environment optimization processing on the non-top-level coordinate positions in the descending list of the target coordinate positions according to the target river environment optimization strategy.

[0092] Furthermore, the model building module 11 in the river environment optimization system combined with finless porpoise habitat simulation is also used for:

[0093] Sequentially acquiring digital elevation model data, underwater topographic survey data and riverbank vector data of the target river area to form initial topographic information;

[0094] The initial terrain information is subjected to denoising, filtering, and interpolation preprocessing to obtain the target terrain information.

[0095] Furthermore, the hydrological prediction module 12 in the river environment optimization system combined with finless porpoise habitat simulation is also used for:

[0096] Randomly obtain any full-cycle hydrological data group in the river basin hydrological database;

[0097] The full-cycle hydrological data set is screened according to the real-time coarse-grained time to obtain a reference hydrological data set;

[0098] Obtain any hydrological indicator, and traverse the referenceable hydrological data group to obtain any hydrological data time series of the any hydrological indicator;

[0099] Performing hydrological data density analysis on the arbitrary hydrological data time series to obtain arbitrary prediction data of the arbitrary hydrological index;

[0100] The predicted hydrological information is constructed based on the arbitrary predicted data.

[0101] Furthermore, the hydrological prediction module 12 in the river environment optimization system combined with finless porpoise habitat simulation is also used for:

[0102] Performing fast Fourier transform processing on the arbitrary hydrological data time series to obtain an arbitrary hydrological data spectrum;

[0103] Performing spectral density analysis on the frequency spectrum of the arbitrary hydrological data to obtain a maximum spectral density interval;

[0104] The mean value of the hydrological data corresponding to the maximum spectral density interval is recorded as the arbitrary prediction data.

[0105] Furthermore, the finless porpoise distribution assessment module 14 in the river environment optimization system combined with finless porpoise habitat simulation is also used for:

[0106] The expression of the distribution characteristic identification evaluation function is as follows: ;in, refers to the distribution characteristic identification evaluation function, refers to the first coordinate position, refers to the first coordinate position that affects the distribution of finless porpoises. Factors, refers to the The factors affecting the distribution of finless porpoises include water depth, flow velocity and water quality.

[0107] Furthermore, the finless porpoise distribution assessment module 14 in the river environment optimization system combined with finless porpoise habitat simulation is also used for:

[0108] Matching a first image at the first coordinate position in the finless porpoise distribution image set;

[0109] Performing color feature calculation on the first image to obtain a first color value, and matching a first finless porpoise distribution level corresponding to the first color value;

[0110] The first finless porpoise distribution index is verified based on the first finless porpoise distribution level.

[0111] Furthermore, the finless porpoise distribution assessment module 14 in the river environment optimization system combined with finless porpoise habitat simulation is also used for:

[0112] Performing block processing on the first image to obtain a first block set;

[0113] Performing color feature analysis on a first block in the first block set to obtain a first color feature value;

[0114] Performing color feature analysis on a second block in the first block set to obtain a second color feature value;

[0115] A mode value of the first color feature value and the second color feature value is taken as the first color value of the first image.

[0116] Furthermore, the optimization strategy module 16 in the river environment optimization system combined with finless porpoise habitat simulation is also used for:

[0117] Obtaining top-level water depth data of the top-level coordinate position;

[0118] Obtaining top-level flow velocity data at the top-level coordinate position;

[0119] Obtaining top-level water quality data at the top-level coordinate position;

[0120] The top-level environmental information composed of the top-level water depth data, the top-level flow velocity data and the top-level water quality data is used as the target river environment optimization strategy.

[0121] Furthermore, the optimization strategy module 16 in the river environment optimization system combined with finless porpoise habitat simulation is also used for:

[0122] Extract any non-top-level coordinate position among the non-top-level coordinate positions;

[0123] Determine whether any water depth data at any non-top-level coordinate position is higher than the top-level water depth data;

[0124] If it is not higher than that, generate a water depth optimization decision;

[0125] Determine whether any flow rate data at any non-top-level coordinate position is lower than the top-level flow rate data;

[0126] If it is not lower than that, generate flow rate optimization decision;

[0127] Determine whether any water quality data at any non-top-level coordinate position is higher than the top-level water quality data;

[0128] If it is not higher than that, generate water quality optimization decision;

[0129] The water depth optimization decision, the flow velocity optimization decision and the water quality optimization decision constitute the target river environment optimization strategy.

[0130] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. Figure 1 The method and specific examples of river environment optimization combined with finless porpoise habitat simulation in Example 1 are also applicable to a river environment optimization system combined with finless porpoise habitat simulation in this embodiment. Through the above detailed description of a river environment optimization method combined with finless porpoise habitat simulation, those skilled in the art can clearly know a river environment optimization system combined with finless porpoise habitat simulation in this embodiment, so for the sake of brevity of the specification, it will not be described in detail here. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part description.

[0131] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

[0132] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application belong to the scope of the present application and its equivalent technology, the present application is also intended to include these modifications and variations.

Claims

1. A river environment optimization method combined with finless porpoise habitat simulation, characterized in that: The method comprises: Establish an initial three-dimensional model based on the target terrain information of the target river area; Acquire real-time coarse-grained time, and perform traversal analysis in a river basin hydrological database based on the real-time coarse-grained time to obtain predicted hydrological information; Mapping and rendering the finless porpoise distribution image set collected by multi-eye monitoring equipment and the predicted hydrological information to the initial three-dimensional model to obtain a target three-dimensional model; Introducing a distribution characteristic recognition evaluation function to evaluate the finless porpoise distribution state at the first coordinate position of the target three-dimensional model to obtain a first finless porpoise distribution index; The expression of the distribution characteristic identification evaluation function is as follows: ； in, refers to the distribution characteristic identification evaluation function, refers to the first coordinate position, refers to the first coordinate position that affects the distribution of finless porpoises. Factors, refers to the The weight coefficients of the factors are as follows, and the factors affecting the distribution of finless porpoises include water depth factor, flow velocity factor and water quality factor; Arranging the first coordinate positions in descending order based on the first finless porpoise distribution index to obtain a descending list of target coordinate positions; Based on the top coordinate position in the descending list of the target coordinate positions, a target river environment optimization strategy is generated, wherein the target river environment optimization strategy includes a water depth optimization decision, a flow rate optimization decision and a water quality optimization decision; According to the target river environment optimization strategy, river environment optimization processing is performed on the non-top coordinate positions in the descending list of the target coordinate positions.

2. The method according to claim 1, characterized in that Establish an initial 3D model based on the target terrain information of the target river area, including: Sequentially acquiring digital elevation model data, underwater topographic survey data and riverbank vector data of the target river area to form initial topographic information; The initial terrain information is subjected to denoising, filtering, and interpolation preprocessing to obtain the target terrain information.

3. The method according to claim 1, characterized in that Obtaining real-time coarse-grained time, and traversing and analyzing the river basin hydrological database based on the real-time coarse-grained time to obtain predicted hydrological information, including: Randomly obtain any full-cycle hydrological data group in the river basin hydrological database; The full-cycle hydrological data set is screened according to the real-time coarse-grained time to obtain a reference hydrological data set; Obtain any hydrological indicator, and traverse the referenceable hydrological data group to obtain any hydrological data time series of the any hydrological indicator; Performing hydrological data density analysis on the arbitrary hydrological data time series to obtain arbitrary prediction data of the arbitrary hydrological index; The predicted hydrological information is constructed based on the arbitrary predicted data.

4. The method according to claim 3, characterized in that Performing hydrological data density analysis on the arbitrary hydrological data time series to obtain arbitrary prediction data of the arbitrary hydrological index includes: Performing fast Fourier transform processing on the arbitrary hydrological data time series to obtain an arbitrary hydrological data spectrum; Performing spectral density analysis on the frequency spectrum of the arbitrary hydrological data to obtain a maximum spectral density interval; The mean value of the hydrological data corresponding to the maximum spectral density interval is recorded as the arbitrary prediction data.

5. The method according to claim 1, characterized in that After introducing the distribution characteristic recognition evaluation function to evaluate the finless porpoise distribution state at the first coordinate position of the target three-dimensional model to obtain the first finless porpoise distribution index, the method further includes: Matching a first image at the first coordinate position in the finless porpoise distribution image set; Performing color feature calculation on the first image to obtain a first color value, and matching a first finless porpoise distribution level corresponding to the first color value; The first finless porpoise distribution index is verified based on the first finless porpoise distribution level.

6. The method according to claim 5, characterized in that Calculating the color feature of the first image to obtain a first color value includes: Performing block processing on the first image to obtain a first block set; Performing color feature analysis on a first block in the first block set to obtain a first color feature value; Performing color feature analysis on a second block in the first block set to obtain a second color feature value; A mode value of the first color feature value and the second color feature value is taken as the first color value of the first image.

7. The method according to claim 1, characterized in that Based on the top coordinate position in the descending list of target coordinate positions, a target river environment optimization strategy is generated, including: Obtaining top-level water depth data of the top-level coordinate position; Obtaining top-level flow velocity data at the top-level coordinate position; Obtaining top-level water quality data at the top-level coordinate position; The top-level environmental information composed of the top-level water depth data, the top-level flow velocity data and the top-level water quality data is used as the target river environment optimization strategy.

8. The method according to claim 7, characterized in that Based on the top coordinate position in the descending list of target coordinate positions, a target river environment optimization strategy is generated, including: Extract any non-top-level coordinate position among the non-top-level coordinate positions; Determine whether any water depth data at any non-top-level coordinate position is higher than the top-level water depth data; If it is not higher than that, generate a water depth optimization decision; Determine whether any flow rate data at any non-top-level coordinate position is lower than the top-level flow rate data; If it is not lower than that, generate flow rate optimization decision; Determine whether any water quality data at any non-top-level coordinate position is higher than the top-level water quality data; If it is not higher than that, generate water quality optimization decision; The water depth optimization decision, the flow velocity optimization decision and the water quality optimization decision constitute the target river environment optimization strategy.

9. A river environment optimization system combined with finless porpoise habitat simulation, characterized in that: The system is used to perform the steps of the method according to any one of claims 1 to 8, and the system comprises: A model building module is used to build an initial three-dimensional model according to target terrain information of the target river area; A hydrological prediction module is used to obtain real-time coarse-grained time, and traverse and analyze the river basin hydrological database based on the real-time coarse-grained time to obtain predicted hydrological information; A model rendering module is used to map and render the finless porpoise distribution image set collected by multi-eye monitoring equipment and the predicted hydrological information to the initial three-dimensional model to obtain a target three-dimensional model; A finless porpoise distribution evaluation module is used to introduce a distribution characteristic recognition evaluation function to evaluate the finless porpoise distribution state at the first coordinate position of the target three-dimensional model to obtain a first finless porpoise distribution index; The expression of the distribution characteristic identification evaluation function is as follows: ； in, refers to the distribution characteristic identification evaluation function, refers to the first coordinate position, refers to the first coordinate position that affects the distribution of finless porpoises. Factors, refers to the The weight coefficients of the factors are as follows, and the factors affecting the distribution of finless porpoises include water depth factor, flow velocity factor and water quality factor; A descending order arrangement module, used to arrange the first coordinate positions in descending order based on the first finless porpoise distribution index to obtain a descending list of target coordinate positions; An optimization strategy module, used to generate a target river environment optimization strategy based on the top coordinate position in the descending list of the target coordinate positions, wherein the target river environment optimization strategy includes a water depth optimization decision, a flow rate optimization decision and a water quality optimization decision; The optimization execution module is used to perform river environment optimization processing on non-top-level coordinate positions in the descending list of target coordinate positions according to the target river environment optimization strategy.

Images