An artificial intelligence-based water quality and water ecology monitoring method and system

Abstract

The present invention relates to the technical field of ecological protection in the Yangtze River Basin, and particularly to a water quality and water ecology monitoring method and system based on artificial intelligence. The method includes the following steps: obtaining water body chemical composition data of the Yangtze River Basin and soil chemical composition data of the Yangtze River Basin; conducting regional environmental analysis of the Yangtze River Basin on the water body chemical composition data of the Yangtze River Basin and the soil chemical composition data of the Yangtze River Basin to generate original environmental data of the Yangtze River Basin; performing sensor network coverage based on the original environmental data of the Yangtze River Basin to obtain a distributed sensor network of the Yangtze River Basin; collecting meteorological sensor data from the distributed sensor network of the Yangtze River Basin to obtain meteorological monitoring data of the Yangtze River Basin; calculating the hydrological gradient index of the Yangtze River Basin from the meteorological monitoring data of the Yangtze River Basin to obtain the hydrological gradient index of the Yangtze River Basin. By using artificial intelligence technology and a distributed sensor network, the present invention conducts multi-dimensional water ecology analysis on the water ecology of the Yangtze River Basin, improving the comprehensiveness of water ecology monitoring and the depth of data mining.

Description

Technical Field

[0001] The present invention relates to the technical field of ecological protection in the Yangtze River Basin, and particularly to a water quality and water ecology monitoring method and system based on artificial intelligence. Background Art

[0002] Water quality and water ecology monitoring began with traditional manual sampling and laboratory analysis. This method is limited by problems such as low sampling frequency and large data latency, making it difficult to monitor the water body state in real time. In the early 1980s, sensor-based automatic monitoring technology emerged, enabling real-time data collection through portable or fixed sensors, but with limited accuracy and applicability. With the rise of artificial intelligence technology, water quality and water ecology monitoring has entered a new stage. Technologies such as machine learning and data mining have been applied to water quality data analysis, achieving efficient processing and analysis of large-scale data and improving the accuracy and reliability of monitoring results. For example, using neural network algorithms to perform pattern recognition on water quality monitoring data can promptly detect abnormal situations and predict water quality change trends. In recent years, the application of artificial intelligence in water quality and water ecology monitoring has been continuously deepened. Image recognition technology based on deep learning has been applied to the biodiversity monitoring of water ecosystems, enabling automatic identification and counting of aquatic organisms. At the same time, the development of the Internet of Things technology has made sensor networks more dense and intelligent, achieving comprehensive monitoring and real-time feedback of multiple water body indicators. However, currently, the traditional water quality and water ecology monitoring points are limited, unable to comprehensively cover the Yangtze River Basin environment, and the analysis ability of monitoring data is limited, making it difficult to extract effective information from massive data, resulting in low comprehensiveness and data mining depth of monitoring. Summary of the Invention

[0003] Based on this, it is necessary to provide a water quality and water ecology monitoring method and system based on artificial intelligence to solve at least one of the above technical problems.

[0004] To achieve the above object, a water quality and water ecology monitoring method based on artificial intelligence, the method includes the following steps:

[0005] Step S1: Obtain the water body chemical composition data of the Yangtze River Basin and the soil chemical composition data of the Yangtze River Basin; perform regional Yangtze River Basin environmental analysis on the water body chemical composition data of the Yangtze River Basin and the soil chemical composition data of the Yangtze River Basin to generate the original Yangtze River Basin environmental data; perform sensor network coverage according to the original Yangtze River Basin environmental data to obtain a distributed Yangtze River Basin sensor network;

[0006] Step S2: Collect meteorological sensor data from the distributed Yangtze River Basin sensor network to obtain Yangtze River Basin meteorological monitoring data; calculate the Yangtze River Basin hydrological gradient index for the Yangtze River Basin meteorological monitoring data to obtain the Yangtze River Basin hydrological gradient index; conduct runoff analysis on the Yangtze River Basin hydrological gradient index to generate Yangtze River Basin hydrological gradient movement data; conduct hydrological gradient movement trajectory analysis on the Yangtze River Basin hydrological gradient movement data to generate Yangtze River Basin hydrological gradient movement trajectory data; analyze the degree of environmental change in the Yangtze River Basin through the Yangtze River Basin hydrological gradient movement trajectory data to generate Yangtze River Basin environmental change impact factors;

[0007] Step S3: Sense the environment and organisms in the Yangtze River Basin based on the distributed Yangtze River Basin sensor network to generate Yangtze River Basin biological perception data; collect biological samples from the Yangtze River Basin biological perception data and conduct biological information identification on the collected biological samples to obtain Yangtze River Basin biological information data; analyze the impact of alien aquatic organism invasion on the Yangtze River Basin biological information data to generate Yangtze River Basin environmental and biological change impact factors;

[0008] Step S4: Collect Yangtze River Basin plant sensor data from the distributed Yangtze River Basin sensor network to obtain Yangtze River Basin plant sensor collection data; sample and calibrate the plant data from the Yangtze River Basin plant sensor collection data to generate Yangtze River Basin plant calibration data; divide the Yangtze River Basin biosphere based on the Yangtze River Basin plant calibration data to generate Yangtze River Basin biosphere data;

[0009] Step S5: Calculate the biodiversity of ecological species in the Yangtze River Basin based on the Yangtze River Basin biosphere data for the Yangtze River Basin plant calibration data and the Yangtze River Basin biological information data to generate the Yangtze River Basin biosphere species diversity index; integrate the Yangtze River Basin biosphere species diversity index, the Yangtze River Basin environmental and biological change impact factors, and the Yangtze River Basin environmental change impact factors to generate Yangtze River Basin water ecological comprehensive assessment data; conduct water ecological health prediction on the Yangtze River Basin water ecological comprehensive assessment data to generate water ecological health prediction data; visualize the water ecological health prediction data in charts to perform water quality and water ecological monitoring operations.

[0010] The present invention realizes the comprehensive monitoring of the Yangtze River Basin environment by establishing a distributed sensor network in the Yangtze River Basin, covering multiple aspects such as the chemical composition of water bodies in the Yangtze River Basin, meteorological monitoring data, biological perception, and plant sensor data in the Yangtze River Basin. By using the original environmental data of the Yangtze River Basin and through a series of data analysis steps, including the calculation of the hydrological gradient index, the identification of biological information, and the calculation of the ecological species diversity in the Yangtze River Basin, the environmental data of the Yangtze River Basin is analyzed in multiple dimensions and in depth to form comprehensive evaluation data. By analyzing the influencing factors of environmental changes in the Yangtze River Basin and the ecological species diversity index in the Yangtze River Basin, the changing trends and influencing factors of the ecological system in the Yangtze River Basin can be understood more clearly, providing a scientific basis for environmental protection and management. By predicting the water ecological health based on the comprehensive evaluation data and visualizing the results in charts, the monitoring results are made more intuitive and understandable, providing timely and effective information support for relevant departments and the public, and helping to detect problems in the water ecological system at an early stage and take corresponding measures. The entire process utilizes advanced technical means such as artificial intelligence technology and sensor networks to realize the real-time collection, analysis, and prediction of environmental data in the Yangtze River Basin, greatly improving the efficiency and accuracy of monitoring, helping to detect problems in a timely manner and take measures to solve them, and protecting the water quality and water ecological environment. Therefore, the present invention improves the comprehensiveness of water ecological monitoring and the depth of data mining by using artificial intelligence technology and a distributed sensor network to conduct multi-dimensional water ecological analysis of the water ecology in the Yangtze River Basin.

[0011] Preferably, step S1 includes the following steps:

[0012] Step S11: Obtain water body samples and soil samples in the Yangtze River Basin;

[0013] Step S12: Conduct chemical composition analysis on the water body samples and soil samples in the Yangtze River Basin to obtain the chemical composition data of the water bodies in the Yangtze River Basin and the chemical composition data of the soil in the Yangtze River Basin;

[0014] Step S13: Conduct environmental analysis of the Yangtze River Basin where the chemical composition data of the water bodies in the Yangtze River Basin and the chemical composition data of the soil in the Yangtze River Basin are located to generate the original environmental data of the Yangtze River Basin;

[0015] Step S14: Conduct sensor network coverage based on the original environmental data of the Yangtze River Basin to obtain a distributed sensor network in the Yangtze River Basin.

[0016] By obtaining water samples and soil samples from the Yangtze River Basin and analyzing their chemical components, detailed chemical composition data of the water body and soil in the Yangtze River Basin can be obtained, providing basic data for establishing a sensor network and ensuring that the sensor network can cover the key parameters to be monitored. Based on the analysis of the original environmental data of the Yangtze River Basin, a comprehensive understanding of the environmental situation of the Yangtze River Basin in the region can be achieved, including information on water quality, soil texture, etc., which helps to design a more targeted and comprehensive sensor network to cover the monitoring needs of different regions and depths. By covering the sensor network according to the original environmental data of the Yangtze River Basin, sensor nodes can be better arranged to ensure that the network coverage is reasonable and sufficient, improving the accuracy and comprehensiveness of monitoring data and providing more reliable data support for environmental monitoring and scientific research. After establishing a distributed sensor network for the Yangtze River Basin, real-time monitoring of the environment in the Yangtze River Basin can be realized, abnormal situations can be detected in a timely manner and early warnings can be issued, which helps to protect the ecological environment of the Yangtze River Basin, prevent pollution incidents from occurring, and improve the sustainable utilization ability of the resources in the Yangtze River Basin.

[0017] Preferably, step S14 includes the following steps:

[0018] Step S141: Conduct terrain analysis of the original environmental data of the Yangtze River Basin to obtain terrain data of the Yangtze River Basin;

[0019] Step S142: Divide the boundary of the Yangtze River Basin according to the terrain data of the Yangtze River Basin to generate terrain boundary data of the Yangtze River Basin;

[0020] Step S143: Arrange the positions of sensor nodes based on the terrain boundary data of the Yangtze River Basin to generate sensor node position data;

[0021] Step S144: Deploy distributed sensor nodes through multi-dimensional sensor node position data and calibrate the sensors of the deployed distributed sensor nodes to generate distributed calibrated sensor nodes;

[0022] Step S145: Associate transmission channels for the distributed calibrated sensor nodes to generate a distributed sensor network for the Yangtze River Basin.

[0023] Through the topographic analysis of the Yangtze River Basin, the bottom topography characteristics of the area can be understood, such as the riverbed morphology, riverbed slope, etc., which is of great guiding significance for the layout of sensor nodes and the coverage range of the sensor network. The division of the boundary of the Yangtze River Basin helps to determine the scope of the monitoring area and provides basic data for the layout of sensor nodes. Based on the topographic boundary data of the Yangtze River Basin, the layout positions of sensor nodes are determined to ensure the coverage of key locations in the monitoring area. A reasonable node layout can maximize the monitoring efficiency and make the monitoring data more comprehensive and accurate. Through the multi-dimensional sensor node position data, the distributed sensor nodes are deployed to ensure the uniform and reasonable distribution of sensor nodes. At the same time, the deployed sensor nodes are calibrated to ensure the accuracy and stability of the sensors and improve the reliability of data collection. The transmission channels of the distributed calibrated sensor nodes are associated to establish communication connections between sensor nodes, thus forming a distributed Yangtze River Basin sensor network, which can realize the real-time transmission and sharing of data and provide continuous and comprehensive data support for the environmental monitoring of the Yangtze River Basin.

[0024] Preferably, step S2 includes the following steps:

[0025] Step S21: Collect meteorological sensor data from the distributed Yangtze River Basin sensor network to obtain Yangtze River Basin meteorological monitoring data, where the Yangtze River Basin meteorological monitoring data includes Yangtze River Basin temperature monitoring data, Yangtze River Basin rainfall monitoring data, and Yangtze River Basin wind force monitoring data;

[0026] Step S22: Calculate the Yangtze River Basin hydrological gradient index from the Yangtze River Basin temperature monitoring data and the Yangtze River Basin wind force monitoring data to obtain the Yangtze River Basin hydrological gradient index; Analyze the impact of the Yangtze River Basin rainfall monitoring data on the Yangtze River Basin hydrological gradient index to generate Yangtze River Basin river water density difference data;

[0027] Step S23: Conduct runoff analysis on the Yangtze River Basin hydrological gradient index based on the Yangtze River Basin river water density difference data to generate Yangtze River Basin hydrological gradient movement data; Conduct hydrological gradient movement trajectory analysis on the Yangtze River Basin hydrological gradient movement data to generate Yangtze River Basin hydrological gradient movement trajectory data;

[0028] Step S24: Analyze the degree of environmental change in the Yangtze River Basin from the Yangtze River Basin hydrological gradient movement trajectory data to generate Yangtze River Basin environmental change impact factors.

[0029] By collecting meteorological sensor data from the distributed sensor network in the Yangtze River Basin, the present invention can obtain meteorological monitoring data of the Yangtze River Basin, including data on temperature, rainfall, wind force, etc. in the Yangtze River Basin, which is of great significance for understanding the changes in the environment of the Yangtze River Basin. Based on the temperature monitoring data and wind force monitoring data in the Yangtze River Basin, the calculation of the hydrological gradient index in the Yangtze River Basin can evaluate the intensity and direction of the hydrological gradient in the Yangtze River Basin, which helps to deeply understand the formation mechanism and influencing factors of the hydrological gradient in the Yangtze River Basin. According to the rainfall monitoring data in the Yangtze River Basin, the analysis of the influence of the hydrological gradient index on the density difference of river water in the Yangtze River Basin can explore the influence of rainfall on the density of river water, and further understand the density change situation in the environment of the Yangtze River Basin. Through runoff analysis, the influence of the earth's rotation on the movement of the hydrological gradient can be understood, and then the hydrological gradient movement data in the Yangtze River Basin can be generated. Based on the hydrological gradient movement data, the analysis of the hydrological gradient movement trajectory can reveal the path and evolution trend of the hydrological gradient. By analyzing the hydrological gradient movement trajectory data in the Yangtze River Basin, evaluating the degree of change in the environment of the Yangtze River Basin, and generating the influencing factors of environmental change in the Yangtze River Basin, it helps to understand the dynamic changes in the environment of the Yangtze River Basin and provide a scientific basis for environmental protection and resource management.

[0030] Preferably, step S24 includes the following steps:

[0031] Step S241: Perform time series analysis of the hydrological gradient movement data in the Yangtze River Basin through the hydrological gradient movement trajectory data in the Yangtze River Basin to generate time series data of the hydrological gradient movement in the Yangtze River Basin; perform animation graph conversion on the time series data of the hydrological gradient movement in the Yangtze River Basin to generate an animation graph of the hydrological gradient movement in the Yangtze River Basin;

[0032] Step S242: Perform analysis of abnormal hydrological gradient events on the animation graph of the hydrological gradient movement in the Yangtze River Basin to generate data on abnormal hydrological gradient events in the Yangtze River Basin;

[0033] Step S243: Perform analysis of the normal hydrological gradient change trend on the animation graph of the hydrological gradient movement in the Yangtze River Basin according to the data on abnormal hydrological gradient events in the Yangtze River Basin to generate data on the normal hydrological gradient trend change in the Yangtze River Basin;

[0034] Step S244: Detect the degree of influence of abnormal events on the data of the normal hydrological gradient trend change in the Yangtze River Basin through the data on abnormal hydrological gradient events in the Yangtze River Basin to generate data on the degree of influence of abnormal hydrological gradients; perform analysis of environmental changes in the Yangtze River Basin on the hydrological gradient movement data in the Yangtze River Basin based on the data on the degree of influence of abnormal hydrological gradients to generate influencing factors of environmental change in the Yangtze River Basin.

[0035] Through the time series analysis of the hydrological gradient movement trajectory data in the Yangtze River Basin, the time series data of the hydrological gradient movement in the Yangtze River Basin are generated and converted into an animation diagram, which can intuitively display the movement and change process of the hydrological gradient, helping to deeply understand the evolution law and characteristics of the hydrological gradient in the Yangtze River Basin. Conducting an abnormal event analysis on the animation diagram of the hydrological gradient movement in the Yangtze River Basin to identify and record abnormal hydrological gradient events, such as floods, heavy rains, and droughts. Abnormal events have an important impact on the environment and ecosystem of the Yangtze River Basin. Therefore, it is of great significance to detect and analyze abnormal events in a timely manner. By analyzing the time series data of the hydrological gradient movement in the Yangtze River Basin, the change trend of the normal hydrological gradient in the Yangtze River Basin can be obtained, which helps to understand the evolution law and seasonal changes of the normal hydrological gradient and provides basic data for environmental monitoring and management in the Yangtze River Basin. Detecting the degree of influence of abnormal hydrological gradient event data on the change trend data of the normal hydrological gradient to evaluate the degree of influence of abnormal events on the environment of the Yangtze River Basin helps to timely identify and evaluate the impact of abnormal events and take corresponding measures for response and management. Based on the data of the degree of influence of abnormal hydrological gradients, analyzing the environmental changes in the Yangtze River Basin of the hydrological gradient movement data in the Yangtze River Basin can reveal the influencing factors of abnormal events on the environment of the Yangtze River Basin, helping to deeply understand the dynamic change process of the environment in the Yangtze River Basin and providing a scientific basis for environmental protection and resource management.

[0036] Preferably, step S3 includes the following steps:

[0037] Step S31: Conduct environmental biological perception of the Yangtze River Basin according to the distributed sensor network in the Yangtze River Basin to generate biological perception data of the Yangtze River Basin;

[0038] Step S32: Collect biological samples from the biological perception data of the Yangtze River Basin and conduct biological information identification on the collected biological samples to obtain biological information data of the Yangtze River Basin;

[0039] Step S33: Match the biological information data of the Yangtze River Basin with the preset biological database of the Yangtze River Basin. When the matching of the biological information data of the Yangtze River Basin and the preset biological database of the Yangtze River Basin is unsuccessful, mark the corresponding biological information data of the Yangtze River Basin as foreign biological information data; when the matching of the biological information data of the Yangtze River Basin and the preset biological database of the Yangtze River Basin is successful, mark the corresponding biological information data of the Yangtze River Basin as native biological information data;

[0040] Step S34: Evaluate the density of the biological community of foreign organisms to generate foreign biological community density evaluation data; based on the foreign biological community density evaluation data, conduct an analysis of the impact of foreign aquatic organism invasion on the native biological information data to generate environmental biological change influencing factors in the Yangtze River Basin.

[0041] Through the biological perception of the Yangtze River Basin based on the distributed sensor network of the Yangtze River Basin, relevant data on the organisms in the Yangtze River Basin can be obtained, including information such as the distribution and density of organisms, which helps to comprehensively understand the distribution of organisms in the Yangtze River Basin. Collecting biological samples from the biological perception data of the Yangtze River Basin and identifying the collected biological samples can obtain detailed information about the organisms, including species, quantity, etc., which helps to establish a biological information database for the Yangtze River Basin. Matching the biological information data of the Yangtze River Basin with the preset biological database of the Yangtze River Basin can classify the biological information data into native organisms and alien organisms, which helps to timely detect and monitor the invasion of alien species. Conducting an assessment of the biological community density of the alien organism information data can evaluate the impact degree of the alien organisms on the ecological system of the Yangtze River Basin, which helps to timely detect the invasion of alien organisms and assess the ecological risks caused by them. Based on the assessment data of the alien biological community density, analyzing the impact of the invasion of alien aquatic organisms on the native organism information data can evaluate the impact degree of alien species on native organisms and the resulting ecological changes, which helps to formulate effective ecological protection and management strategies.

[0042] Preferably, step S31 includes the following steps:

[0043] Step S311: Collect the sonar radar detection data of the Yangtze River Basin from the distributed sensor network of the Yangtze River Basin to obtain the sonar echo data of the Yangtze River Basin;

[0044] Step S312: Denoise the sonar echo data of the Yangtze River Basin to generate the denoised sonar echo data of the Yangtze River Basin; enhance the signal of the denoised sonar echo data of the Yangtze River Basin to generate the enhanced sonar echo data of the Yangtze River Basin;

[0045] Step S313: Analyze the signal amplitude characteristics of the enhanced sonar echo data of the Yangtze River Basin to generate the echo signal amplitude characteristic data; mark the organisms in the Yangtze River Basin region through the echo signal amplitude characteristic data to generate the regional biological marker data of the Yangtze River Basin;

[0046] Step S314: Identify the biological types in the Yangtze River Basin from the regional biological marker data of the Yangtze River Basin to generate the biological type identification data of the Yangtze River Basin; perceive the biological behaviors in the Yangtze River Basin based on the biological type identification data of the Yangtze River Basin to generate the biological perception data of the Yangtze River Basin.

[0047] Through the acquisition of sonar radar detection data of the distributed Yangtze River Basin sensor network in the present invention, sonar echo data in the Yangtze River Basin can be obtained, and the data reflects the characteristics of various objects or organisms existing in the Yangtze River Basin. By performing denoising and signal enhancement processing on the sonar echo data of the Yangtze River Basin, the data quality and signal clarity can be improved, thereby better identifying the biological characteristics in the Yangtze River Basin. By performing signal amplitude feature analysis on the enhanced sonar echo data, the amplitude features of the echo signal can be extracted for identifying and marking the organisms in the Yangtze River Basin. Based on the amplitude feature data, biological marking of the regional Yangtze River Basin can be carried out to mark the biological characteristics in the sonar echo data and determine the existence and distribution areas of the organisms. By performing biological type identification and behavior perception on the marked biological data of the Yangtze River Basin, different types of organisms in the Yangtze River Basin can be identified and their behaviors and activities can be understood, so as to deeply understand the ecosystem of the Yangtze River Basin.

[0048] Preferably, step S4 includes the following steps:

[0049] Step S41: Collect plant sensor data of the Yangtze River Basin according to the distributed Yangtze River Basin sensor network to obtain the plant sensor collection data of the Yangtze River Basin, where the plant sensors in the Yangtze River Basin include water quality sensors, optical sensors, and chlorophyll sensors;

[0050] Step S42: Analyze the spatio-temporal distribution characteristics of plants in the Yangtze River Basin for the plant sensor collection data of the Yangtze River Basin to generate spatio-temporal distribution characteristic data of plants in the Yangtze River Basin; sample and calibrate the plant data for the spatio-temporal distribution characteristic data of plants in the Yangtze River Basin to generate calibrated plant data of the Yangtze River Basin;

[0051] Step S43: Evaluate the growth status of plants in the Yangtze River Basin for the calibrated plant data of the Yangtze River Basin to generate growth status evaluation data of plants in the Yangtze River Basin; evaluate the distribution characteristics for the calibrated plant data of the Yangtze River Basin to generate growth distribution characteristic evaluation data of plants in the Yangtze River Basin;

[0052] Step S44: Divide the biosphere of the Yangtze River Basin according to the growth status evaluation data of plants in the Yangtze River Basin and the growth distribution characteristic evaluation data of plants in the Yangtze River Basin to generate biosphere data of the Yangtze River Basin.

[0053] The present invention collects plant sensor data of the Yangtze River Basin based on a distributed sensor network of the Yangtze River Basin, including water quality sensors, optical sensors, chlorophyll sensors, etc., and can obtain water quality and biological information related to plants in the Yangtze River Basin. Analyzing the spatio-temporal distribution characteristics of the data collected by the plant sensors in the Yangtze River Basin can understand the distribution of plants in the Yangtze River Basin at different times and spatial positions, providing data support for subsequent growth status evaluation. Evaluating the growth status based on the calibration data of plants in the Yangtze River Basin can assess the growth state and health status of plants in the Yangtze River Basin, providing an important basis for the health assessment of the ecological system in the Yangtze River Basin. Evaluating the distribution characteristics of the calibration data of plants in the Yangtze River Basin can evaluate the growth distribution characteristics of plants in the Yangtze River Basin, such as density, distribution range, etc., and further understand the structure and dynamic changes of the ecological system in the Yangtze River Basin. Based on the growth status evaluation data and growth distribution characteristic evaluation data of plants in the Yangtze River Basin, dividing the biosphere of the Yangtze River Basin can delimit the boundaries and characteristics of different ecological systems in the Yangtze River Basin, providing a scientific basis for environmental management and protection in the Yangtze River Basin.

[0054] Preferably, step S5 includes the following steps:

[0055] Step S51: Perform a biosphere food chain analysis on the calibration data of plants in the Yangtze River Basin and the biological information data of the Yangtze River Basin based on the biosphere data of the Yangtze River Basin to generate biosphere food chain data of the Yangtze River Basin;

[0056] Step S52: Use the calculation formula for species richness in river basins to calculate the ecological species diversity of the Yangtze River Basin for the biosphere food chain data of the Yangtze River Basin, generating a species diversity index of the biosphere of the Yangtze River Basin; Integrate the species diversity index of the biosphere of the Yangtze River Basin, the impact factors of environmental biological changes in the Yangtze River Basin, and the impact factors of environmental changes in the Yangtze River Basin to generate comprehensive water ecological assessment data of the Yangtze River Basin;

[0057] Step S53: Divide the comprehensive water ecological assessment data of the Yangtze River Basin into a dataset to generate a model training set and a model test set; Use the support vector machine algorithm to train the model training set to generate a water quality and water ecological health prediction training model; Use the model test set to optimize and iterate the water quality and water ecological health prediction training model to generate a water quality and water ecological health prediction model;

[0058] Step S54: Import the comprehensive water ecological assessment data of the Yangtze River Basin into the water quality and water ecological health prediction model for water ecological health prediction to generate water ecological health prediction data; Visualize the water ecological health prediction data in a chart to perform water quality and water ecological monitoring operations.

[0059] Through the analysis of the biosphere food chain based on the biosphere data of the Yangtze River Basin, the present invention can reveal the food relationships and energy transfer paths among different organisms in the biosphere of the Yangtze River Basin, providing a basis for the assessment of the stability of the ecosystem. By calculating the ecological species diversity of the biosphere food chain data in the Yangtze River Basin, the species diversity degree of the ecosystem in the Yangtze River Basin can be evaluated, so as to understand the health status and stability of the ecosystem. Integrating the species diversity index of the biosphere in the Yangtze River Basin, the influencing factors of environmental biological changes in the Yangtze River Basin, and the influencing factors of environmental changes in the Yangtze River Basin, a water quality and water ecology health prediction model is constructed. Using the support vector machine algorithm for model training and optimization iteration, a water ecology health prediction model is generated. Importing the comprehensive evaluation data of the water ecology in the Yangtze River Basin into the water quality and water ecology health prediction model for water ecology health prediction, water ecology health prediction data is generated. The prediction results are displayed in a chart visualization manner, providing reference and guidance for water quality and water ecology monitoring.

[0060] In this specification, a water quality and water ecology monitoring system based on artificial intelligence is provided for implementing the above-mentioned water quality and water ecology monitoring method based on artificial intelligence. The water quality and water ecology monitoring system based on artificial intelligence includes:

[0061] A sensor network coverage module, configured to obtain the chemical composition data of the water body in the Yangtze River Basin and the chemical composition data of the soil in the Yangtze River Basin; perform regional Yangtze River Basin environmental analysis on the chemical composition data of the water body in the Yangtze River Basin and the chemical composition data of the soil in the Yangtze River Basin to generate the original environmental data of the Yangtze River Basin; perform sensor network coverage according to the original environmental data of the Yangtze River Basin to obtain a distributed Yangtze River Basin sensor network;

[0062] A Yangtze River Basin hydrological gradient analysis module, configured to collect meteorological sensor data from the distributed Yangtze River Basin sensor network to obtain the Yangtze River Basin meteorological monitoring data; calculate the Yangtze River Basin hydrological gradient index for the Yangtze River Basin meteorological monitoring data to obtain the Yangtze River Basin hydrological gradient index; perform runoff analysis on the Yangtze River Basin hydrological gradient index to generate the Yangtze River Basin hydrological gradient movement data; perform hydrological gradient movement trajectory analysis on the Yangtze River Basin hydrological gradient movement data to generate the Yangtze River Basin hydrological gradient movement trajectory data; perform Yangtze River Basin environmental change degree analysis on the Yangtze River Basin hydrological gradient movement data through the Yangtze River Basin hydrological gradient movement trajectory data to generate the influencing factors of environmental changes in the Yangtze River Basin;

[0063] A Yangtze River Basin biological analysis module, configured to perform Yangtze River Basin environmental biological perception according to the distributed Yangtze River Basin sensor network to generate the Yangtze River Basin biological perception data; collect biological samples from the Yangtze River Basin biological perception data, and perform biological information identification on the collected biological samples to obtain the Yangtze River Basin biological information data; perform analysis on the impact of alien aquatic organism invasion on the Yangtze River Basin biological information data to generate the influencing factors of environmental biological changes in the Yangtze River Basin;

[0064] Yangtze River Basin Biosphere Analysis Module, which is used to collect plant sensor data of the Yangtze River Basin according to the distributed Yangtze River Basin sensor network to obtain the plant sensor acquisition data of the Yangtze River Basin; sample and calibrate the plant sensor acquisition data of the Yangtze River Basin to generate the plant calibration data of the Yangtze River Basin; divide the biosphere of the Yangtze River Basin based on the plant calibration data of the Yangtze River Basin to generate the biosphere data of the Yangtze River Basin;

[0065] Water Ecosystem Health Prediction Module, which is used to calculate the ecological species diversity of the Yangtze River Basin for the plant calibration data and the biological information data of the Yangtze River Basin based on the biosphere data of the Yangtze River Basin to generate the species diversity index of the biosphere of the Yangtze River Basin; integrate the species diversity index of the biosphere of the Yangtze River Basin, the impact factors of environmental biological changes in the Yangtze River Basin, and the impact factors of environmental changes in the Yangtze River Basin to generate the comprehensive water ecosystem assessment data of the Yangtze River Basin; predict the water ecosystem health for the comprehensive water ecosystem assessment data of the Yangtze River Basin to generate the water ecosystem health prediction data; visualize the water ecosystem health prediction data in charts to perform water quality and water ecosystem monitoring operations.

[0066] The beneficial effects of the present invention are as follows: by obtaining the chemical composition data of the water body and soil in the Yangtze River Basin, regional environmental analysis of the Yangtze River Basin is carried out, thereby generating the original environmental data of the Yangtze River Basin, laying a foundation for subsequent monitoring and assessment, and obtaining a distributed Yangtze River Basin sensor network through sensor network coverage. The distributed Yangtze River Basin sensor network is used to collect meteorological data to obtain the meteorological monitoring data of the Yangtze River Basin. By processing and analyzing these data, the hydrological gradient index and hydrological gradient movement trajectory data of the Yangtze River Basin can be calculated, and then the degree of environmental change and impact factors in the Yangtze River Basin can be analyzed. The sensor network is used to perceive the environment organisms in the Yangtze River Basin to obtain the biological perception data of the Yangtze River Basin, and biological samples are collected and identified to generate the biological information data of the Yangtze River Basin. By analyzing these data, the impact of alien aquatic organism invasion on the environment of the Yangtze River Basin can be evaluated. The sensor network is used to collect plant data of the Yangtze River Basin, and the collected data is calibrated to generate the plant calibration data of the Yangtze River Basin. Through these data, the biosphere of the Yangtze River Basin can be divided, further improving the assessment of the environment of the Yangtze River Basin. Based on the biosphere data of the Yangtze River Basin, the ecological species diversity of the Yangtze River Basin is calculated, and it is integrated with the environmental biological changes and environmental change impact factors in the Yangtze River Basin to generate the comprehensive water ecosystem assessment data of the Yangtze River Basin. By predicting the water ecosystem health for these data and presenting it through chart visualization, the water quality and water ecosystem monitoring operations can be effectively carried out. Therefore, the present invention improves the comprehensiveness of water ecosystem monitoring and the depth of data mining by using artificial intelligence technology and distributed sensor networks to conduct multi-dimensional water ecosystem analysis on the water ecosystem of the Yangtze River Basin. Brief Description of the Drawings

[0067] Figure 1 It is a schematic diagram of the step process of an artificial intelligence-based water quality and water ecology monitoring method;

[0068] Figure 2 is Figure 1 a detailed implementation step process schematic diagram of step S2 in

[0069] Figure 3 is Figure 1 a detailed implementation step process schematic diagram of step S3 in

[0070] Figure 4 is Figure 1 a detailed implementation step process schematic diagram of step S4 in

[0071] The realization, functional characteristics and advantages of the purpose of the present invention will be further described with reference to the embodiments and the accompanying drawings. Detailed implementation manners

[0072] The technical method of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts fall within the scope of protection of the present invention.

[0073] In addition, the accompanying drawings are only schematic diagrams of the present invention and are not necessarily drawn to scale. The same reference numerals in the drawings represent the same or similar parts, and thus their repeated description will be omitted. Some of the block diagrams shown in the drawings are functional entities and do not necessarily correspond to physically or logically independent entities. Specifically, the functional entities are implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and / or processor methods and / or microcontroller methods.

[0074] It should be understood that although the terms "first", "second", etc. may be used here to describe various units, these units should not be limited by these terms. These terms are only used to distinguish one unit from another. For example, without departing from the scope of the exemplary embodiments, the first unit may be called the second unit, and similarly the second unit may be called the first unit. The term "and / or" used here includes any and all combinations of one or more of the listed related items.

[0075] To achieve the above object, please refer to Figures 1 to 4 , an artificial intelligence-based water quality and water ecology monitoring method, the method includes the following steps:

[0076] Step S1: Obtain the chemical composition data of water bodies in the Yangtze River Basin and the chemical composition data of soils in the Yangtze River Basin; conduct a regional environmental analysis of the chemical composition data of water bodies in the Yangtze River Basin and the chemical composition data of soils in the Yangtze River Basin to generate the original environmental data of the Yangtze River Basin; based on the original environmental data of the Yangtze River Basin, perform sensor network coverage to obtain a distributed sensor network for the Yangtze River Basin;

[0077] Step S2: Collect meteorological sensor data from the distributed sensor network for the Yangtze River Basin to obtain meteorological monitoring data for the Yangtze River Basin; calculate the hydrological gradient index for the Yangtze River Basin based on the meteorological monitoring data for the Yangtze River Basin to obtain the hydrological gradient index for the Yangtze River Basin; conduct a runoff analysis on the hydrological gradient index for the Yangtze River Basin to generate hydrological gradient movement data for the Yangtze River Basin; conduct a hydrological gradient movement trajectory analysis on the hydrological gradient movement data for the Yangtze River Basin to generate hydrological gradient movement trajectory data for the Yangtze River Basin; analyze the degree of environmental change in the Yangtze River Basin through the hydrological gradient movement trajectory data for the Yangtze River Basin to generate environmental change impact factors for the Yangtze River Basin;

[0078] Step S3: Conduct biological perception of the environment in the Yangtze River Basin based on the distributed sensor network for the Yangtze River Basin to generate biological perception data for the Yangtze River Basin; collect biological samples from the biological perception data for the Yangtze River Basin and conduct biological information identification on the collected biological samples to obtain biological information data for the Yangtze River Basin; analyze the impact of invasive alien aquatic organisms on the biological information data for the Yangtze River Basin to generate environmental biological change impact factors for the Yangtze River Basin;

[0079] Step S4: Collect plant sensor data from the distributed sensor network for the Yangtze River Basin to obtain plant sensor collection data for the Yangtze River Basin; perform plant data sampling and calibration on the plant sensor collection data for the Yangtze River Basin to generate plant calibration data for the Yangtze River Basin; divide the biosphere of the Yangtze River Basin based on the plant calibration data for the Yangtze River Basin to generate biosphere data for the Yangtze River Basin;

[0080] Step S5: Calculate the ecological species diversity of the Yangtze River Basin based on the biosphere data of the Yangtze River Basin for the plant calibration data and the biological information data of the Yangtze River Basin to generate the biosphere species diversity index of the Yangtze River Basin; integrate the biosphere species diversity index of the Yangtze River Basin, the environmental biological change impact factors of the Yangtze River Basin, and the environmental change impact factors of the Yangtze River Basin to generate comprehensive water ecological assessment data for the Yangtze River Basin; conduct a water ecological health prediction on the comprehensive water ecological assessment data for the Yangtze River Basin to generate water ecological health prediction data; visualize the water ecological health prediction data in charts to perform water quality and water ecological monitoring operations.

[0081] The present invention realizes the comprehensive monitoring of the Yangtze River Basin environment by establishing a distributed sensor network in the Yangtze River Basin, covering multiple aspects such as the chemical composition of water bodies in the Yangtze River Basin, meteorological monitoring data, biological perception, and sensor data of plants in the Yangtze River Basin. Utilizing the original environmental data of the Yangtze River Basin, through a series of data analysis steps, including the calculation of hydrological gradient index, biological information identification, calculation of ecological species diversity in the Yangtze River Basin, etc., the environmental data of the Yangtze River Basin is analyzed in multiple dimensions and in depth to form comprehensive evaluation data. By analyzing the influencing factors of environmental changes in the Yangtze River Basin and the ecological species diversity index in the Yangtze River Basin, the changing trends and influencing factors of the ecological system in the Yangtze River Basin can be understood more clearly, providing a scientific basis for environmental protection and management. By predicting the water ecological health of the comprehensive evaluation data and visualizing the results in charts, the monitoring results are made more intuitive and understandable, providing timely and effective information support for relevant departments and the public, and helping to detect problems in the water ecological system at an early stage and take corresponding measures. The entire process utilizes advanced technical means such as artificial intelligence technology and sensor networks to achieve real-time collection, analysis, and prediction of environmental data in the Yangtze River Basin, greatly improving the efficiency and accuracy of monitoring, helping to detect problems in a timely manner and take measures to solve them, and protecting the water quality and water ecological environment. Therefore, the present invention improves the comprehensiveness of water ecological monitoring and the depth of data mining by using artificial intelligence technology and a distributed sensor network to conduct multi-dimensional water ecological analysis of the water ecology in the Yangtze River Basin.

[0082] In an embodiment of the present invention, referring to Figure 1 as described, it is a schematic diagram of the step process of a water quality and water ecology monitoring method based on artificial intelligence according to the present invention. In this example, the water quality and water ecology monitoring method based on artificial intelligence includes the following steps:

[0083] Step S1: Obtain the chemical composition data of water bodies in the Yangtze River Basin and the chemical composition data of soil in the Yangtze River Basin; conduct regional environmental analysis of the chemical composition data of water bodies in the Yangtze River Basin and the chemical composition data of soil in the Yangtze River Basin to generate the original environmental data of the Yangtze River Basin; perform sensor network coverage based on the original environmental data of the Yangtze River Basin to obtain a distributed sensor network in the Yangtze River Basin;

[0084] In the embodiments of the present invention, by using existing water samplers and soil samplers in the Yangtze River Basin, sampling work is carried out in the riparian areas of the target basin to obtain samples of water bodies and soil in the Yangtze River Basin. Chemical composition analysis is performed on the samples, including dissolved substances in the water bodies and components in the soil, to obtain chemical composition data of water bodies and chemical composition data of soil in the Yangtze River Basin. Using the obtained chemical composition data of water bodies and chemical composition data of soil in the Yangtze River Basin, regional environmental analysis of the Yangtze River Basin is carried out, including analyzing the content and distribution of various chemical substances in the water bodies and the chemical composition characteristics of the soil. The data can provide information on the environmental quality and pollution degree of the Yangtze River Basin. According to the original environmental data of the Yangtze River Basin, a distributed sensor network for the Yangtze River Basin is designed and established. Appropriate sensor types and locations are selected and arranged to cover various regions of the target basin. The sensors specifically include water quality sensors, temperature sensors, optical sensors, etc., for monitoring multiple parameters of the environment in the Yangtze River Basin.

[0085] Step S2: Collect meteorological sensor data for the distributed sensor network of the Yangtze River Basin to obtain meteorological monitoring data of the Yangtze River Basin; calculate the hydrological gradient index of the Yangtze River Basin for the meteorological monitoring data of the Yangtze River Basin to obtain the hydrological gradient index of the Yangtze River Basin; perform runoff analysis on the hydrological gradient index of the Yangtze River Basin to generate hydrological gradient movement data of the Yangtze River Basin; perform hydrological gradient movement trajectory analysis on the hydrological gradient movement data of the Yangtze River Basin to generate hydrological gradient movement trajectory data of the Yangtze River Basin; analyze the degree of environmental change in the Yangtze River Basin through the hydrological gradient movement trajectory data of the Yangtze River Basin for the hydrological gradient movement data of the Yangtze River Basin to generate environmental change impact factors of the Yangtze River Basin;

[0086] In the embodiments of the present invention, by setting meteorological sensors in the distributed Yangtze River Basin sensor network, such as air temperature sensors, humidity sensors, wind speed sensors, etc., for monitoring the meteorological data of the Yangtze River Basin, the sensors should be arranged at different positions to ensure coverage of all regions of the target basin. Then, according to the measurement data of the sensors, the meteorological monitoring data of the Yangtze River Basin are obtained, including information such as the temperature, humidity, and wind speed of the Yangtze River Basin. Using the obtained meteorological monitoring data of the Yangtze River Basin, the calculation of the hydrological gradient index of the Yangtze River Basin is carried out. The hydrological gradient index of the Yangtze River Basin can reflect the intensity and direction of the hydrological gradient in the Yangtze River Basin and is an important parameter for measuring the circulation situation of the Yangtze River Basin. The runoff analysis is carried out on the calculated hydrological gradient index of the Yangtze River Basin. Runoff is an inertial force generated by the rotation of the earth and has an important impact on the hydrological gradient of the Yangtze River Basin. Through runoff analysis, the movement law and characteristics of the hydrological gradient can be better understood. According to the hydrological gradient movement data obtained from the runoff analysis, the hydrological gradient movement trajectory analysis is carried out, including tracking and analyzing the movement trajectory of the hydrological gradient in time and space to understand the path and change trend of the hydrological gradient. Based on the hydrological gradient movement trajectory data, the analysis of the environmental change degree of the Yangtze River Basin is carried out, including statistical and analysis of parameters such as the speed, direction, and drift of the hydrological gradient to evaluate the change situation and influencing factors of the environment of the Yangtze River Basin.

[0087] Step S3: Perform biological perception of the Yangtze River Basin environment according to the distributed Yangtze River Basin sensor network to generate biological perception data of the Yangtze River Basin; collect biological samples from the biological perception data of the Yangtze River Basin, and perform biological information identification on the collected biological samples to obtain biological information data of the Yangtze River Basin; perform analysis on the impact of alien aquatic organism invasion on the biological information data of the Yangtze River Basin to generate impact factors of environmental biological changes in the Yangtze River Basin.

[0088] In the embodiments of the present invention, biological perception of the Yangtze River Basin environment is carried out by using the distributed Yangtze River Basin sensor network. The sensors specifically include sonar sensors, cameras, water quality sensors, etc., for monitoring information such as biological activities, biological community composition, and biological quantity in the Yangtze River Basin. According to the biological perception data of the Yangtze River Basin, the target area is determined for biological sample collection. The collected biological samples specifically include aquatic microorganisms, plankton, benthic organisms, etc. The collection methods specifically include net fishing, trawling, zooplankton drifters, underwater photography, etc. Biological information identification and analysis are carried out on the collected biological samples. Specifically, methods such as microscopic observation, DNA sequencing, and biological characteristic comparison are used to determine the species, quantity, and distribution of organisms. The impact of alien aquatic organism invasion is analyzed on the identified biological information data of the Yangtze River Basin. It is mainly to evaluate the impact of alien aquatic organisms on the native biological community, the structure and function of the ecosystem, and the degree of impact on the biological diversity and ecological balance of the Yangtze River Basin.

[0089] Step S4: Collect the plant sensor data of the Yangtze River Basin according to the distributed Yangtze River Basin sensor network to obtain the plant sensor acquisition data of the Yangtze River Basin; sample and calibrate the plant sensor acquisition data of the Yangtze River Basin to generate the calibrated plant data of the Yangtze River Basin; divide the biosphere of the Yangtze River Basin based on the calibrated plant data of the Yangtze River Basin to generate the biosphere data of the Yangtze River Basin.

[0090] In the embodiment of the present invention, by setting dedicated plant sensors for the Yangtze River Basin in the distributed Yangtze River Basin sensor network, such as water quality sensors, optical sensors, and chlorophyll sensors, etc., the sensors can be used to monitor information such as the growth of plants in the river water and the chlorophyll content. By collecting data through these sensors, the plant sensor acquisition data of the Yangtze River Basin can be obtained. On the basis of obtaining the plant sensor acquisition data of the Yangtze River Basin, sampling and calibration of the plant data of the Yangtze River Basin are carried out, including sampling the plants in the river water, and combining field observations and measurements to determine information such as the types, densities, and distribution ranges of the plants, and using this information as the calibrated plant data of the Yangtze River Basin. Based on the calibrated plant data of the Yangtze River Basin, the growth of plants in the Yangtze River Basin is evaluated and analyzed, and according to the plant biological characteristics of different river basins, the biosphere of the Yangtze River Basin is divided. Specifically, according to indicators such as the density and distribution range of the plants, the Yangtze River Basin area is divided into different biospheres to reflect the ecological characteristics of different river basins.

[0091] Step S5: Calculate the ecological species diversity of the calibrated plant data and the biological information data of the Yangtze River Basin based on the biosphere data of the Yangtze River Basin to generate the species diversity index of the biosphere of the Yangtze River Basin; integrate the species diversity index of the biosphere of the Yangtze River Basin, the impact factors of environmental biological changes in the Yangtze River Basin, and the impact factors of environmental changes in the Yangtze River Basin to generate the comprehensive water ecological assessment data of the Yangtze River Basin; predict the water ecological health of the comprehensive water ecological assessment data of the Yangtze River Basin to generate the water ecological health prediction data; visualize the water ecological health prediction data in charts to perform the water quality and water ecological monitoring operation.

[0092] In the embodiments of the present invention, by analyzing the plant calibration data and biological information data of the Yangtze River Basin based on the collected biosphere data of the Yangtze River Basin, the species diversity index of the biosphere of the Yangtze River Basin is calculated, specifically by calculating indicators such as species richness, species evenness, and species diversity index. Integrate the calculated species diversity index of the biosphere of the Yangtze River Basin with the impact factors of environmental biological changes and the impact factors of environmental changes in the Yangtze River Basin, which involves integrating and unifying data from different data sources for subsequent comprehensive evaluation and analysis. Based on the integrated data, a comprehensive assessment of the water ecology of the Yangtze River Basin is carried out. Considering factors such as biodiversity and impact factors of environmental changes, the overall health status of the water ecosystem in the Yangtze River Basin is evaluated, specifically by establishing an evaluation model and an index system. Using the comprehensive assessment data of the water ecology of the Yangtze River Basin, water ecology health prediction is carried out. Through methods such as statistical analysis of historical data and trend prediction, the water ecology health status in a future period is predicted to discover problems and risks in advance. Visualize the water ecology health prediction data in the form of charts for intuitive display and analysis. Specifically, various data visualization tools and technologies are used to convert the data into forms such as charts and graphs to make the data more readable and understandable.

[0093] Preferably, step S1 includes the following steps:

[0094] Step S11: Obtain water samples and soil samples from the Yangtze River Basin;

[0095] Step S12: Analyze the chemical components of the water samples and soil samples from the Yangtze River Basin to obtain the chemical component data of the water body and the chemical component data of the soil in the Yangtze River Basin;

[0096] Step S13: Analyze the chemical component data of the water body and the chemical component data of the soil in the Yangtze River Basin for the environment of the Yangtze River Basin in the region where they are located to generate the original environmental data of the Yangtze River Basin;

[0097] Step S14: Based on the original environmental data of the Yangtze River Basin, perform sensor network coverage to obtain a distributed sensor network of the Yangtze River Basin.

[0098] In the embodiments of the present invention, samples are collected by selecting representative water bodies in the Yangtze River Basin and sampling points of soil samples in the Yangtze River Basin in the area. The water samples in the Yangtze River Basin are specifically obtained by means of an underwater sampler or manually collecting water samples, while the soil samples in the Yangtze River Basin are specifically collected by digging the surface soil or using a sampler. Chemical composition analysis is carried out on the collected water samples in the Yangtze River Basin and soil samples in the Yangtze River Basin, including measuring various chemical components in the water samples and soil samples, such as dissolved oxygen, salinity, pH value, nutrient salts (nitrogen, phosphorus), heavy metals, etc. Based on the chemical composition data, the environment of the water bodies and soils in the Yangtze River Basin is analyzed, specifically including evaluating indicators such as water quality, soil texture, salinity, redox potential, etc., to understand the basic characteristics and change trends of the environment in the Yangtze River Basin. According to the original environmental data of the Yangtze River Basin, a distributed sensor network for the Yangtze River Basin is designed and established. By selecting appropriate sensor types, installation locations, and network communication methods, it is ensured that the sensor network can cover the key areas of the target river basin and can continuously monitor the changes in the environment of the Yangtze River Basin.

[0099] Preferably, step S14 includes the following steps:

[0100] Step S141: Conduct terrain analysis on the original environmental data of the Yangtze River Basin to obtain terrain data of the Yangtze River Basin;

[0101] Step S142: Divide the boundaries of the Yangtze River Basin according to the terrain data of the Yangtze River Basin to generate terrain boundary data of the Yangtze River Basin;

[0102] Step S143: Arrange the positions of sensor nodes based on the terrain boundary data of the Yangtze River Basin to generate sensor node position data;

[0103] Step S144: Deploy distributed sensor nodes through multi-dimensional sensor node position data and calibrate the sensors of the deployed distributed sensor nodes to generate distributed calibrated sensor nodes;

[0104] Step S145: Associate transmission channels for the distributed calibrated sensor nodes to generate a distributed sensor network for the Yangtze River Basin.

[0105] In the embodiments of the present invention, by using the topographic data analysis tool of the Yangtze River Basin, the original environmental data of the Yangtze River Basin collected is processed and analyzed to obtain the topographic data of the Yangtze River Basin, including topographic features of the Yangtze River Basin, such as river bottom topography, water depth and other information. Based on the analyzed topographic data of the Yangtze River Basin, the boundary of the Yangtze River Basin is divided to determine the scope and boundary of the target river area. Specifically, according to the characteristics and geographical location of the topography of the Yangtze River Basin, the boundary line of the Yangtze River Basin is determined and converted into digital boundary data. According to the topographic boundary data of the Yangtze River Basin and the regional characteristics of the Yangtze River Basin to be monitored, a layout plan for sensor nodes is formulated. Considering the complexity and variability of the environment of the Yangtze River Basin, the positions of sensor nodes are reasonably selected to ensure that the sensor network covers the target area and can effectively monitor. According to the layout plan, multi-dimensional sensor nodes are deployed in the target river area, involving the use of devices such as boats, buoys, and pontoons, and the sensor nodes are arranged along the topographic boundary and key areas of the Yangtze River Basin. After the deployment of the sensor nodes is completed, sensor calibration work is carried out, including positioning calibration, data acquisition calibration, sensor accuracy calibration, etc. of the sensor nodes to ensure that the sensor nodes can accurately collect data and maintain stability. The deployed sensor nodes are associated with communication devices to establish a communication channel for the sensor network, specifically through wired or wireless communication methods, to ensure that the sensor nodes can transmit the collected data in a timely and reliable manner.

[0106] Preferably, step S2 includes the following steps:

[0107] Step S21: Collect meteorological sensor data for the distributed Yangtze River Basin sensor network to obtain Yangtze River Basin meteorological monitoring data, where the Yangtze River Basin meteorological monitoring data includes Yangtze River Basin temperature monitoring data, Yangtze River Basin rainfall monitoring data, and Yangtze River Basin wind force monitoring data;

[0108] Step S22: Calculate the Yangtze River Basin hydrological gradient index for the Yangtze River Basin temperature monitoring data and the Yangtze River Basin wind force monitoring data to obtain the Yangtze River Basin hydrological gradient index; Analyze the influence of the Yangtze River Basin rainfall monitoring data on the Yangtze River Basin hydrological gradient index to generate Yangtze River Basin river water density difference data;

[0109] Step S23: Conduct runoff analysis on the Yangtze River Basin hydrological gradient index based on the Yangtze River Basin river water density difference data to generate Yangtze River Basin hydrological gradient movement data; Conduct hydrological gradient movement trajectory analysis on the Yangtze River Basin hydrological gradient movement data to generate Yangtze River Basin hydrological gradient movement trajectory data;

[0110] Step S24: Analyze the degree of environmental change in the Yangtze River Basin for the Yangtze River Basin hydrological gradient movement data through the Yangtze River Basin hydrological gradient movement trajectory data to generate Yangtze River Basin environmental change impact factors.

[0111] As an example of the present invention, refer to Figure 2 As shown, in this example, step S2 includes:

[0112] Step S21: Collect meteorological sensor data from the distributed Yangtze River Basin sensor network to obtain Yangtze River Basin meteorological monitoring data, where the Yangtze River Basin meteorological monitoring data includes Yangtze River Basin temperature monitoring data, Yangtze River Basin rainfall monitoring data, and Yangtze River Basin wind force monitoring data;

[0113] In the embodiment of the present invention, by selecting meteorological sensors suitable for environmental monitoring in the Yangtze River Basin, such as temperature sensors, rainfall sensors, and wind speed sensors, the sensors should have the characteristics of waterproof, corrosion-resistant, and resistant to river water erosion, and can operate stably in the harsh environment of the Yangtze River Basin. The selected meteorological sensors are deployed on the nodes of the distributed Yangtze River Basin sensor network, and the node positions are reasonably selected to cover the key areas of the target river basin. The sensor nodes should be evenly distributed and cover the entire Yangtze River Basin area as much as possible to ensure the comprehensiveness and accuracy of the data. Configure the sensor nodes to ensure that they can stably collect meteorological data in the Yangtze River Basin. The sensor nodes should regularly collect meteorological data such as temperature, rainfall, and wind force in the Yangtze River Basin, and transmit the data to the data center or data processing system for storage and analysis. Design a suitable data transmission scheme to transmit the collected Yangtze River Basin meteorological data to the data center through wired or wireless communication methods, establish a dedicated database in the data center to store the Yangtze River Basin meteorological monitoring data, and ensure the security and integrity of the data.

[0114] Step S22: Calculate the Yangtze River Basin hydrological gradient index for the Yangtze River Basin temperature monitoring data and the Yangtze River Basin wind force monitoring data to obtain the Yangtze River Basin hydrological gradient index; Analyze the influence of the Yangtze River Basin rainfall monitoring data on the Yangtze River Basin hydrological gradient index to generate Yangtze River Basin river water density difference data;

[0115] In the embodiment of the present invention, by using the Yangtze River Basin temperature monitoring data and the Yangtze River Basin wind force monitoring data, calculate the Yangtze River Basin hydrological gradient index through corresponding algorithms. The Yangtze River Basin temperature is usually related to the hydrological gradient, and specifically, the direction and speed of the hydrological gradient are inferred by observing the changes in the river water temperature at different positions in the Yangtze River Basin. The Yangtze River Basin wind force monitoring data can provide the dynamic influence of the wind on the surface of the Yangtze River Basin, which in turn affects the formation and movement of the hydrological gradient. After obtaining the Yangtze River Basin hydrological gradient index, use the Yangtze River Basin rainfall monitoring data to analyze the influence of the river water density difference. The river water density is affected by factors such as temperature and salinity, and rainfall will change the salinity and density of the river water, thereby affecting the formation and movement of the hydrological gradient. Analyzing the relationship between the Yangtze River Basin rainfall data and the river water density difference can more accurately understand the influence of rainfall on the hydrological gradient and generate Yangtze River Basin river water density difference data.

[0116] Step S23: Based on the river water density difference data of the Yangtze River Basin, conduct runoff analysis on the hydrological gradient index of the Yangtze River Basin to generate the hydrological gradient movement data of the Yangtze River Basin; conduct hydrological gradient movement trajectory analysis on the hydrological gradient movement data of the Yangtze River Basin to generate the hydrological gradient movement trajectory data of the Yangtze River Basin;

[0117] In the embodiment of the present invention, by using the existing river water density difference data of the Yangtze River Basin, combining parameters such as the formula of runoff and the angular velocity of the earth's rotation, the runoff distribution in the Yangtze River Basin is calculated. According to the runoff analysis results, combined with other factors affecting the hydrological gradient movement (such as riverbed materials, riverbed substrates, riverbed topography, etc.), the hydrological gradient movement data of the Yangtze River Basin is generated. The data includes information such as the speed and direction of the hydrological gradient, which can describe the movement state of the hydrological gradient in the Yangtze River Basin. Using the generated hydrological gradient movement data of the Yangtze River Basin, conduct hydrological gradient movement trajectory analysis. Specifically, use numerical simulation methods to simulate the movement trajectory of the hydrological gradient, or analyze historical data through statistical analysis methods to infer the movement trajectory of the hydrological gradient. Finally, generate the hydrological gradient movement trajectory data of the Yangtze River Basin, which describes the movement path of the hydrological gradient in space and time.

[0118] Step S24: Analyze the degree of environmental change in the Yangtze River Basin through the hydrological gradient movement trajectory data of the Yangtze River Basin to generate the environmental change impact factors of the Yangtze River Basin.

[0119] In the embodiment of the present invention, by processing the hydrological gradient movement trajectory data of the Yangtze River Basin, relevant movement parameters such as speed and direction are extracted. Then, use these parameters to analyze the degree of environmental change in the Yangtze River Basin, specifically using statistical analysis, mathematical models and other methods. According to the analysis results, determine the main factors affecting the environmental change in the Yangtze River Basin, which involve the relationships between different parameters, such as the impact degree of the change in hydrological gradient speed on the environment of the Yangtze River Basin. Integrate the determined impact factors together to generate the environmental change impact factors of the Yangtze River Basin. The factors are specifically quantitative indicators, or can also be a comprehensive evaluation describing the degree of environmental change in the Yangtze River Basin.

[0120] Preferably, step S24 includes the following steps:

[0121] Step S241: Conduct hydrological gradient movement time series analysis on the hydrological gradient movement data of the Yangtze River Basin through the hydrological gradient movement trajectory data of the Yangtze River Basin to generate the hydrological gradient movement time series data of the Yangtze River Basin; conduct animated graph conversion on the hydrological gradient movement time series data of the Yangtze River Basin to generate the hydrological gradient movement animated graph;

[0122] Step S242: Analyze the hydrological gradient movement animation map of the Yangtze River Basin for abnormal hydrological gradient events in the Yangtze River Basin, and generate abnormal hydrological gradient event data for the Yangtze River Basin.

[0123] Step S243: Analyze the normal hydrological gradient change trend of the hydrological gradient movement animation map of the Yangtze River Basin based on the abnormal hydrological gradient event data of the Yangtze River Basin, and generate normal hydrological gradient trend change data for the Yangtze River Basin.

[0124] Step S244: Detect the influence degree of abnormal events on the normal hydrological gradient trend change data of the Yangtze River Basin through the abnormal hydrological gradient event data of the Yangtze River Basin, and generate abnormal hydrological gradient influence degree data; Based on the abnormal hydrological gradient influence degree data, conduct environmental change analysis on the hydrological gradient movement data of the Yangtze River Basin to generate environmental change impact factors for the Yangtze River Basin.

[0125] In the embodiment of the present invention, through time series analysis of the hydrological gradient movement trajectory data of the Yangtze River Basin, the movement of the hydrological gradient in different time periods is understood, including changes in flow velocity, flow direction, etc. The data obtained from the time series analysis is converted into an animation map, and the movement process of the hydrological gradient is displayed through the animation, more intuitively presenting the spatio-temporal changes of the hydrological gradient. Analyze the abnormal events of the hydrological gradient movement animation map of the Yangtze River Basin, identify and extract abnormal events. Record the abnormal event data for further analysis of the impact of abnormal events on the environment of the Yangtze River Basin. Analyze the change trend of the normal hydrological gradient in the animation map to understand the movement pattern and trend of the hydrological gradient under normal conditions. Generate data describing the trend change of the normal hydrological gradient, including changes in parameters such as flow velocity and flow direction. Detect the influence degree of abnormal events on the normal hydrological gradient trend change data through the abnormal hydrological gradient event data, and evaluate the influence degree of abnormal events on the hydrological gradient. Based on the abnormal hydrological gradient influence degree data, conduct further environmental change analysis on the hydrological gradient movement data of the Yangtze River Basin to explore the environmental change impact factors of abnormal events on the Yangtze River Basin.

[0126] Preferably, step S3 includes the following steps:

[0127] Step S31: Sense the environment organisms of the Yangtze River Basin according to the distributed sensor network of the Yangtze River Basin, and generate organism sensing data of the Yangtze River Basin.

[0128] Step S32: Collect biological samples from the organism sensing data of the Yangtze River Basin, and conduct biological information identification on the collected biological samples to obtain biological information data of the Yangtze River Basin.

[0129] Step S33: Match the biological information data of the Yangtze River Basin with the preset biological database of the Yangtze River Basin. When the matching of the biological information data of the Yangtze River Basin and the preset biological database of the Yangtze River Basin is unsuccessful, mark the corresponding biological information data of the Yangtze River Basin as alien biological information data; when the matching of the biological information data of the Yangtze River Basin and the preset biological database of the Yangtze River Basin is successful, mark the corresponding biological information data of the Yangtze River Basin as native biological information data.

[0130] Step S34: Evaluate the density of the alien biological community for the alien biological information data to generate alien biological community density evaluation data; analyze the impact of alien aquatic organism invasion on the native biological information data based on the alien biological community density evaluation data to generate the impact factors of the environmental biological changes in the Yangtze River Basin.

[0131] As an example of the present invention, refer to Figure 3 As shown, in this example, the said Step S3 includes:

[0132] Step S31: Sense the environmental organisms in the Yangtze River Basin according to the distributed sensor network of the Yangtze River Basin to generate the biological sensing data of the Yangtze River Basin.

[0133] In the embodiment of the present invention, by deploying a distributed sensor network of the Yangtze River Basin in the target river area, it is ensured that the network coverage includes the environmental area of the Yangtze River Basin that needs to be monitored. The sensor nodes should have the ability to collect biological sensing data. Configure the sensor nodes so that they can collect data related to the organisms in the Yangtze River Basin, such as parameters like water quality, water temperature, salinity, light, etc. The data is specifically collected through various biological sensors (such as water quality sensors, temperature sensors, optical sensors, etc.). The biological sensing data collected by the sensor nodes is transmitted to the data center or data processing platform through the network. During the transmission process, it is necessary to ensure the integrity and timeliness of the data. At the same time, in order to avoid data loss, a reliable data storage system needs to be established. After receiving the biological sensing data collected by the sensor nodes, perform data processing and analysis, including preprocessing steps such as data cleaning, denoising, calibration, etc., as well as analysis methods such as statistical analysis, spatio-temporal analysis, pattern recognition, etc. of the data to extract useful biological sensing information. According to the analysis results, generate the biological sensing data of the Yangtze River Basin, which includes information such as the distribution, density, and activity patterns of the organisms in the Yangtze River Basin. The data can be used to understand the status of the biological community in the Yangtze River Basin, monitor the changes in the biological ecosystem, and evaluate the health status of the environment in the Yangtze River Basin.

[0134] Step S32: Collect biological samples from the biological sensing data of the Yangtze River Basin, and identify the biological information of the collected biological samples to obtain the biological information data of the Yangtze River Basin.

[0135] In the embodiments of the present invention, appropriate sampling points and sampling tools are selected according to the analysis results and objectives of the biological perception data in the Yangtze River Basin for biological sample collection. The sampling points should cover different ecological regions and biological communities within the target river area. The sampling tools specifically include nets, trawl nets, fishing implements, underwater cameras, etc. The collected biological samples need to be properly processed and preserved to maintain their integrity and usability, including operations such as specimen classification, recording, refrigeration or freezing preservation, etc. For different types of biological samples, corresponding processing methods are adopted to ensure the sample quality and the retention of biological information. Biological information identification is carried out on the collected biological samples, including identifying and recording their species, quantity, growth status, etc., with the help of professional biological knowledge and technical means, such as microscopic observation, DNA analysis, morphological feature comparison, etc. The results of biological information identification are recorded in data tables or databases, including relevant information such as sampling location, sampling time, biological species, quantity, ecological environment, etc. Ensure the accuracy and integrity of the data for convenient subsequent analysis and utilization. According to the results of biological sample collection and information identification, biological information data of the Yangtze River Basin are generated, including information such as the distribution, density, and diversity of different biological species within the target river area.

[0136] Step S33: Match the biological information data of the Yangtze River Basin with the preset biological database of the Yangtze River Basin. When the matching of the biological information data of the Yangtze River Basin and the preset biological database of the Yangtze River Basin is unsuccessful, the corresponding biological information data of the Yangtze River Basin is marked as alien biological information data; when the matching of the biological information data of the Yangtze River Basin and the preset biological database of the Yangtze River Basin is successful, the corresponding biological information data of the Yangtze River Basin is marked as native biological information data.

[0137] In the embodiments of the present invention, by collecting and sorting out the biological information data of the Yangtze River Basin, including relevant information such as sampling location, sampling time, biological species, quantity, etc., a preset biological database of the Yangtze River Basin is established. The biological database of the Yangtze River Basin should include known native biological species in the Yangtze River Basin and their characteristic information. Each record in the biological information data of the Yangtze River Basin is matched with the preset biological database of the Yangtze River Basin one by one, and the matching is specifically carried out by comparing information such as the taxonomic characteristics, morphological characteristics, and DNA sequences of the organisms. If a certain biological information data of the Yangtze River Basin can find a corresponding record in the database, it is marked as native biological information data; if the matching is unsuccessful, it is marked as alien biological information data.

[0138] Step S34: Conduct an assessment of the density of the alien biological community for the alien biological information data to generate alien biological community density assessment data; based on the alien biological community density assessment data, analyze the impact of alien aquatic organism invasion on the native biological information data to generate the influencing factors of environmental biological changes in the Yangtze River Basin.

[0139] In the embodiments of the present invention, by using appropriate biological sampling methods, biological organisms that have been marked as alien biological information data are sampled and observed in the Yangtze River Basin environment. Quadrats or belt transects are established around the sampling points, and standardized biological survey methods (such as biomass, abundance, diversity index, etc.) are used to evaluate the community density of alien organisms. Statistical analysis is performed on the sampling data to calculate the density indicators of the alien biological community, including average density, relative density, etc. The evaluation data of the alien biological community density is compared and analyzed with the native biological information data. The impacts of alien organisms on aspects such as the population structure, species richness, and ecosystem functions of native organisms are evaluated. Statistical methods or ecological models are used to analyze the potential influencing factors and mechanisms of alien biological invasion. According to the analysis results, impact factors of biological changes in the Yangtze River Basin environment are generated, including the impact degrees of alien organisms on the stability, biodiversity, and ecological balance of the Yangtze River Basin ecosystem.

[0140] Preferably, step S31 includes the following steps:

[0141] Step S311: Collect sonar radar detection data of the Yangtze River Basin for the distributed Yangtze River Basin sensor network to obtain Yangtze River Basin sonar echo data;

[0142] Step S312: Denoise the Yangtze River Basin sonar echo data to generate denoised Yangtze River Basin sonar echo data; Enhance the signal of the denoised Yangtze River Basin sonar echo data to generate enhanced Yangtze River Basin sonar echo data;

[0143] Step S313: Analyze the signal amplitude characteristics of the enhanced Yangtze River Basin sonar echo data to generate echo signal amplitude characteristic data; Mark the organisms in the Yangtze River Basin region through the echo signal amplitude characteristic data to generate regional Yangtze River Basin organism marking data;

[0144] Step S314: Identify the types of organisms in the Yangtze River Basin from the regional Yangtze River Basin organism marking data to generate Yangtze River Basin organism type identification data; Sense the behaviors of organisms in the Yangtze River Basin based on the Yangtze River Basin organism type identification data to generate Yangtze River Basin organism sensing data.

[0145] In the embodiments of the present invention, by equipping sonar radar devices in the distributed sensor network of the Yangtze River Basin, sonar detection is carried out on the target river area through appropriate sampling strategies and settings. Sonar echo data of the Yangtze River Basin is collected, recording the acoustic wave signals sent by the sonar device and the echo signals reflected by objects in the Yangtze River Basin. The collected sonar echo data of the Yangtze River Basin is denoised to remove interference and noise therein. Digital signal processing technology is used to enhance the signal of the denoised data, improving the clarity and recognizability of the echo signal. Signal amplitude feature analysis is carried out on the enhanced sonar echo data of the Yangtze River Basin to extract features such as the amplitude, frequency, and waveform of the echo signal. Through the analysis of the amplitude features, biological targets in the Yangtze River Basin are identified and marked. According to the biological marking data of the Yangtze River Basin in the region, technologies such as image processing and pattern recognition are used to identify the types of organisms in the Yangtze River Basin. Based on the existing biological database of the Yangtze River Basin or professional knowledge, the identified organisms in the Yangtze River Basin are classified and recognized to determine their species and characteristics. Combining the biological type recognition data of the Yangtze River Basin, the behavior patterns and dynamic changes of organisms in the Yangtze River Basin are analyzed. According to the behavior characteristics and environmental background of organisms in the Yangtze River Basin, information such as the behavior state, migration path, and aggregation area of organisms in the Yangtze River Basin is inferred, thereby generating biological perception data of the Yangtze River Basin.

[0146] Preferably, step S4 includes the following steps:

[0147] Step S41: Collect data of plant sensors in the Yangtze River Basin according to the distributed sensor network of the Yangtze River Basin to obtain the collected data of plant sensors in the Yangtze River Basin, where the plant sensors in the Yangtze River Basin include water quality sensors, optical sensors, and chlorophyll sensors;

[0148] Step S42: Analyze the spatio-temporal distribution characteristics of plants in the Yangtze River Basin for the collected data of plant sensors in the Yangtze River Basin to generate spatio-temporal distribution characteristic data of plants in the Yangtze River Basin; sample and calibrate the plant data for the spatio-temporal distribution characteristic data of plants in the Yangtze River Basin to generate calibrated data of plants in the Yangtze River Basin;

[0149] Step S43: Evaluate the growth status of plants in the Yangtze River Basin for the calibrated data of plants in the Yangtze River Basin to generate evaluation data of the growth status of plants in the Yangtze River Basin; evaluate the distribution characteristics for the calibrated data of plants in the Yangtze River Basin to generate evaluation data of the growth distribution characteristics of plants in the Yangtze River Basin;

[0150] Step S44: Divide the biosphere of the Yangtze River Basin according to the evaluation data of the growth status of plants in the Yangtze River Basin and the evaluation data of the growth distribution characteristics of plants in the Yangtze River Basin to generate biosphere data of the Yangtze River Basin.

[0151] As an example of the present invention, refer to Figure 4 As shown, in this example, step S4 includes:

[0152] Step S41: Collect the plant sensor data of the Yangtze River Basin according to the distributed Yangtze River Basin sensor network to obtain the collected data of the plant sensors in the Yangtze River Basin, where the plant sensors in the Yangtze River Basin include water quality sensors, optical sensors, and chlorophyll sensors;

[0153] In the embodiment of the present invention, by deploying water quality sensor devices in the distributed Yangtze River Basin sensor network, different positions of the target river area are ensured to be covered. The water quality sensors can measure water quality indicators such as the pH value, dissolved oxygen, turbidity, and conductivity of the water body. The data of various indicators of the water body, including temperature, salinity, dissolved oxygen, etc., are collected in real time through the water quality sensors. Optical sensors are configured in the Yangtze River Basin sensor network to obtain the optical information in the river water. The optical sensors can measure indicators such as the transparency of the water body, chlorophyll content, and phytoplankton concentration. The optical characteristic data in the river water, such as water body transparency and chlorophyll fluorescence, are collected through the optical sensors. Chlorophyll sensor devices are deployed to monitor the chlorophyll-a content in the water as an indicator for measuring the plant growth and water quality changes in the Yangtze River Basin. The chlorophyll sensors can measure the concentration of chlorophyll-a in the water, reflecting the plant growth status in the river water. The concentration data of chlorophyll-a in the river water are collected through the chlorophyll sensors to evaluate the health status of the ecosystem and the plant growth in the Yangtze River Basin. The collected data of the water quality, optical, and chlorophyll sensors are integrated and analyzed.

[0154] Step S42: Analyze the spatio-temporal distribution characteristics of the plants in the Yangtze River Basin for the collected data of the plant sensors in the Yangtze River Basin to generate the spatio-temporal distribution characteristic data of the plants in the Yangtze River Basin; sample and calibrate the spatio-temporal distribution characteristic data of the plants in the Yangtze River Basin to generate the calibrated data of the plants in the Yangtze River Basin;

[0155] In the embodiment of the present invention, by using the collected data of the plant sensors in the Yangtze River Basin, the spatio-temporal distribution characteristics of the plants in the Yangtze River Basin are analyzed. Tools such as geographic information system (GIS) can be used to analyze the spatial distribution of the plant data in the Yangtze River Basin to understand its distribution in different locations. Combining time series data, the seasonal changes and long-term trends of the plants in the Yangtze River Basin are analyzed to explore its spatio-temporal distribution laws in different seasons and years. According to the spatio-temporal distribution characteristic data of the plants in the Yangtze River Basin, plant samples are collected at different locations and time periods. When collecting samples, attention should be paid to maintaining the integrity and representativeness of the samples to ensure that the samples can accurately reflect the types and quantities of the plants in the Yangtze River Basin. The collected samples are calibrated, including recording information such as plant species, quantities, and growth status, and specimen numbering and label marking. The plant data in the Yangtze River Basin obtained from sampling and calibration are sorted and processed to construct a calibrated data set of the plants in the Yangtze River Basin.

[0156] Step S43: Evaluate the growth status of plants in the Yangtze River Basin based on the calibrated data of plants in the Yangtze River Basin to generate evaluation data on the growth status of plants in the Yangtze River Basin; evaluate the distribution characteristics of the calibrated data of plants in the Yangtze River Basin to generate evaluation data on the growth and distribution characteristics of plants in the Yangtze River Basin.

[0157] In the embodiment of the present invention, by evaluating the growth status of plants in the Yangtze River Basin based on the calibrated data of plants in the Yangtze River Basin, including indicators such as biomass and growth rate. Statistical analysis methods can be used to evaluate and compare the quantity, density, and distribution of plants in the Yangtze River Basin to understand their growth conditions. Combining environmental factor data, such as water temperature, light, and nutrients, analyze its impact on the growth of plants in the Yangtze River Basin and evaluate the suitability of the growth environment. Analyze the distribution characteristics of the calibrated data of plants in the Yangtze River Basin, including aspects such as spatial distribution and temporal distribution. Through geographical information system tools such as GIS, visually display and analyze the spatial distribution of plants in the Yangtze River Basin to understand its distribution pattern in different geographical locations. Conduct seasonal and interannual change analysis on the temporal distribution of plants in the Yangtze River Basin to explore the distribution change trends in different seasons and years. Organize and statistically analyze the evaluation results to generate evaluation data on the growth status of plants in the Yangtze River Basin and evaluation data on the growth and distribution characteristics.

[0158] Step S44: Divide the biosphere of the Yangtze River Basin according to the evaluation data on the growth status of plants in the Yangtze River Basin and the evaluation data on the growth and distribution characteristics of plants in the Yangtze River Basin to generate biosphere data of the Yangtze River Basin.

[0159] In the embodiment of the present invention, by integrating the evaluation data on the growth status of plants in the Yangtze River Basin and the evaluation data on the growth and distribution characteristics, ensure the consistency and integrity of the data. Match and associate the two types of data for subsequent analysis of the biosphere division of the Yangtze River Basin. Use clustering analysis methods, such as the K-means clustering algorithm, to cluster the data on the growth status and distribution characteristics of plants in the Yangtze River Basin. Clustering analysis can divide the Yangtze River Basin area into several biospheres according to indicators such as the growth status and distribution density of plants in the Yangtze River Basin, and each biosphere has similar plant growth characteristics and distribution patterns. Based on the clustering results, use geographical information system tools such as GIS to visually display the divided biospheres on the map. GIS analysis can help determine the geographical locations, boundary ranges, and spatial distribution characteristics of each biosphere, providing a spatial reference and geographical background for the biosphere division of the Yangtze River Basin. Conduct ecological characteristic analysis on each divided biosphere, including aspects such as plant species composition, quantity distribution, and ecosystem structure. Analyze the ecological characteristic differences within each biosphere and explore the influencing factors to provide a basis for understanding the formation mechanism of the biosphere in the Yangtze River Basin. Verify whether the divided biosphere data of the Yangtze River Basin conforms to the actual situation and can reflect the true state of the ecosystem in the Yangtze River Basin.

[0160] Preferably, step S5 includes the following steps:

[0161] Step S51: Based on the Yangtze River Basin biosphere data, conduct a biosphere food chain analysis on the Yangtze River Basin plant calibration data and the Yangtze River Basin biological information data to generate the Yangtze River Basin biosphere food chain data;

[0162] Step S52: Use the river basin species richness calculation formula to calculate the Yangtze River Basin ecological species diversity of the Yangtze River Basin biosphere food chain data, and generate the Yangtze River Basin biosphere species diversity index; Integrate the Yangtze River Basin biosphere species diversity index, the Yangtze River Basin environmental biological change impact factor, and the Yangtze River Basin environmental change impact factor to generate the Yangtze River Basin water ecological comprehensive assessment data;

[0163] The specific river basin species richness calculation formula is as follows:

[0164]

[0165] S represents the species richness of the river basin, T represents the upper limit of the time range under investigation, H represents the biodiversity coefficient, d represents the environmental stability coefficient, k represents the impact factor of regulating environmental stability on richness, R represents the resource availability coefficient, I represents the interference degree coefficient, and t represents the observation time point;

[0166] Step S53: Divide the Yangtze River Basin water ecological comprehensive assessment data into a dataset to generate a model training set and a model test set; Use the support vector machine algorithm to train the model training set to generate a water quality and water ecological health prediction training model; Use the model test set to optimize and iterate the water quality and water ecological health prediction training model to generate a water quality and water ecological health prediction model;

[0167] Step S54: Import the Yangtze River Basin water ecological comprehensive assessment data into the water quality and water ecological health prediction model to conduct water ecological health prediction and generate water ecological health prediction data; Visualize the water ecological health prediction data in a chart to perform water quality and water ecological monitoring operations.

[0168] In the embodiments of the present invention, by collecting data on the biosphere in the Yangtze River Basin, calibration data of plants in the Yangtze River Basin, and biological information data in the Yangtze River Basin. The data is sorted out for food chain analysis to ensure the accuracy and integrity of the data. Based on the collected data, a food chain model of the biosphere in the Yangtze River Basin is constructed. The relationships between various biological groups in the Yangtze River Basin are determined, including predation relationships, food sources, etc. The food chain relationships between various biological groups in the biosphere of the Yangtze River Basin are analyzed. The main food chain paths and energy transfer paths are determined, and the interactions between different species in the biosphere are explored. Based on the food chain data and other ecological data, the species diversity index of the biosphere in the Yangtze River Basin is calculated through the species richness calculation formula for river basins. Appropriate ecological indicators (such as Shannon diversity index, Simpson diversity index, etc.) are used to measure the species diversity of the biosphere in the Yangtze River Basin. The species diversity index, the influencing factors of environmental biological changes in the Yangtze River Basin, and the influencing factors of environmental changes in the Yangtze River Basin are integrated with data. Ensure the relevance and comparability between various indicators. The comprehensive water ecological assessment data of the Yangtze River Basin is divided into a model training set and a model test set. Ensure that the division of the data set is representative and balanced. Machine learning algorithms such as support vector machine (SVM) are used to train the model on the model training set. The trained model is evaluated and optimized through the model test set to improve the prediction performance and accuracy of the model. The comprehensive water ecological assessment data of the Yangtze River Basin is input into the optimized water quality and water ecological health prediction model for water ecological health prediction. Generate water ecological health prediction data, including prediction results in aspects such as water quality and ecological environment health status. The water ecological health prediction data is processed for chart visualization to intuitively display the prediction results. Using various charts and visualization tools, present the change trends and spatial distribution characteristics of the water quality and water ecological health status.

[0169] In this specification, a water quality and water ecological monitoring system based on artificial intelligence is provided for implementing the above-mentioned water quality and water ecological monitoring method based on artificial intelligence. The water quality and water ecological monitoring system based on artificial intelligence includes:

[0170] A sensor network coverage module, configured to obtain data on the chemical composition of water bodies in the Yangtze River Basin and data on the chemical composition of soil in the Yangtze River Basin; perform regional environmental analysis on the data on the chemical composition of water bodies in the Yangtze River Basin and the data on the chemical composition of soil in the Yangtze River Basin to generate original environmental data for the Yangtze River Basin; perform sensor network coverage based on the original environmental data for the Yangtze River Basin to obtain a distributed sensor network for the Yangtze River Basin;

[0171] The Yangtze River Basin Hydrological Gradient Analysis Module is used to collect meteorological sensor data from the distributed Yangtze River Basin sensor network to obtain Yangtze River Basin meteorological monitoring data; calculate the Yangtze River Basin hydrological gradient index for the Yangtze River Basin meteorological monitoring data to obtain the Yangtze River Basin hydrological gradient index; conduct runoff analysis on the Yangtze River Basin hydrological gradient index to generate Yangtze River Basin hydrological gradient movement data; conduct hydrological gradient movement trajectory analysis on the Yangtze River Basin hydrological gradient movement data to generate Yangtze River Basin hydrological gradient movement trajectory data; analyze the degree of environmental change in the Yangtze River Basin through the Yangtze River Basin hydrological gradient movement trajectory data to generate Yangtze River Basin environmental change impact factors.

[0172] The Yangtze River Basin Biological Analysis Module is used to perceive the environment and biology of the Yangtze River Basin according to the distributed Yangtze River Basin sensor network to generate Yangtze River Basin biological perception data; collect biological samples from the Yangtze River Basin biological perception data and identify the biological information of the collected biological samples to obtain Yangtze River Basin biological information data; analyze the impact of alien aquatic organism invasion on the Yangtze River Basin biological information data to generate Yangtze River Basin environmental biological change impact factors.

[0173] The Yangtze River Basin Biosphere Analysis Module is used to collect Yangtze River Basin plant sensor data according to the distributed Yangtze River Basin sensor network to obtain Yangtze River Basin plant sensor collection data; sample and calibrate the plant data of the Yangtze River Basin plant sensor collection data to generate Yangtze River Basin plant calibration data; divide the Yangtze River Basin biosphere based on the Yangtze River Basin plant calibration data to generate Yangtze River Basin biosphere data.

[0174] The Aquatic Ecosystem Health Prediction Module is used to calculate the biodiversity index of the Yangtze River Basin biosphere for the Yangtze River Basin plant calibration data and the Yangtze River Basin biological information data based on the Yangtze River Basin biosphere data to generate the Yangtze River Basin biosphere species diversity index; integrate the Yangtze River Basin biosphere species diversity index, the Yangtze River Basin environmental biological change impact factors, and the Yangtze River Basin environmental change impact factors to generate Yangtze River Basin aquatic ecosystem comprehensive assessment data; predict the health of the aquatic ecosystem for the Yangtze River Basin aquatic ecosystem comprehensive assessment data to generate aquatic ecosystem health prediction data; visualize the aquatic ecosystem health prediction data in charts to perform water quality and aquatic ecosystem monitoring operations.

[0175] The beneficial effects of the present invention are as follows: By obtaining the chemical composition data of water bodies and soils in the Yangtze River Basin, regional environmental analysis of the Yangtze River Basin is carried out, thereby generating the original environmental data of the Yangtze River Basin, laying a foundation for subsequent monitoring and evaluation, and obtaining a distributed sensor network of the Yangtze River Basin through sensor network coverage. Meteorological data is collected using the distributed sensor network of the Yangtze River Basin to obtain meteorological monitoring data of the Yangtze River Basin. By processing and analyzing these data, the hydrological gradient index and hydrological gradient movement trajectory data of the Yangtze River Basin can be calculated, and then the degree of environmental change and influencing factors in the Yangtze River Basin can be analyzed. The environmental organisms in the Yangtze River Basin are sensed using the sensor network to obtain biological sensing data of the Yangtze River Basin, and biological samples are collected and identified to generate biological information data of the Yangtze River Basin. By analyzing these data, the impact of alien aquatic organism invasion on the environment of the Yangtze River Basin can be evaluated. Plant data in the Yangtze River Basin is collected using the sensor network, and the collected data is calibrated to generate plant calibration data of the Yangtze River Basin. Through these data, the biosphere of the Yangtze River Basin is specifically divided, further improving the evaluation of the environment of the Yangtze River Basin. Based on the biosphere data of the Yangtze River Basin, the calculation of the ecological species diversity of the Yangtze River Basin is carried out, and it is integrated with the environmental biological changes and environmental change influencing factors in the Yangtze River Basin to generate comprehensive water ecological evaluation data of the Yangtze River Basin. By predicting the water ecological health of these data and presenting it visually through charts, water quality and water ecological monitoring operations can be effectively carried out. Therefore, the present invention improves the comprehensiveness of water ecological monitoring and the depth of data mining by using artificial intelligence technology and a distributed sensor network to conduct multi-dimensional water ecological analysis on the water ecology of the Yangtze River Basin.

[0176] Therefore, from any perspective, the embodiments should be regarded as exemplary and non-restrictive. The scope of the present invention is defined by the appended claims rather than the above description. Therefore, it is intended to encompass all changes falling within the meaning and scope of the equivalent elements of the application documents within the present invention.

[0177] The above description is only the specific implementation manners of the present invention, enabling those skilled in the art to understand or implement the present invention. Various modifications to these embodiments will be obvious to those skilled in the art. The general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to these embodiments shown herein, but rather will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A water quality and water ecology monitoring method based on artificial intelligence, characterized in that: The following steps are involved: Step S1: Acquire the chemical composition data of water bodies and soil in the Yangtze River Basin; Conduct regional Yangtze River Basin environmental analysis on the water chemical composition data and soil chemical composition data of the Yangtze River Basin to generate the original environmental data of the Yangtze River Basin; perform sensor network coverage based on the original environmental data of the Yangtze River Basin to obtain a distributed Yangtze River Basin sensor network; Step S2: collecting meteorological sensor data from the distributed sensor network in the Yangtze River Basin to obtain meteorological monitoring data in the Yangtze River Basin; calculating the hydrological gradient index of the Yangtze River Basin on the meteorological monitoring data in the Yangtze River Basin to obtain the hydrological gradient index of the Yangtze River Basin; Conduct runoff analysis on the hydrological gradient index of the Yangtze River Basin to generate hydrological gradient movement data for the Yangtze River Basin; conduct hydrological gradient movement trajectory analysis on the hydrological gradient movement data of the Yangtze River Basin to generate hydrological gradient movement trajectory data for the Yangtze River Basin; conduct environmental change degree analysis on the hydrological gradient movement data of the Yangtze River Basin through the hydrological gradient movement trajectory data of the Yangtze River Basin to generate the influencing factors of environmental change in the Yangtze River Basin; Step S3: Perform biological perception of the Yangtze River Basin environment according to the distributed Yangtze River Basin sensor network to generate biological perception data of the Yangtze River Basin; collect biological samples for the biological perception data of the Yangtze River Basin, and perform biological information identification on the collected biological samples to obtain biological information data of the Yangtze River Basin; perform impact analysis of alien aquatic biological invasion on the biological information data of the Yangtze River Basin to generate the impact factors of biological changes in the Yangtze River Basin environment; Step S3 includes the following steps: Step S31: Perform biological perception of the Yangtze River Basin environment according to the distributed Yangtze River Basin sensor network to generate biological perception data of the Yangtze River Basin; Step S31 includes the following steps: Step S311: collecting Yangtze River Basin sonar radar detection data from the distributed Yangtze River Basin sensor network to obtain Yangtze River Basin sonar echo data; Step S312: performing data denoising on the sonar echo data of the Yangtze River Basin to generate the denoised sonar echo data of the Yangtze River Basin; performing signal enhancement on the denoised sonar echo data of the Yangtze River Basin to generate the enhanced sonar echo data of the Yangtze River Basin; Step S313: performing signal amplitude characteristic analysis on the sonar echo enhancement data in the Yangtze River Basin to generate echo signal amplitude characteristic data; performing regional Yangtze River Basin biomarkers through the echo signal amplitude characteristic data to generate regional Yangtze River Basin biomarker data; Step S314: performing Yangtze River Basin biological type identification on the Yangtze River Basin biological marker data to generate Yangtze River Basin biological type identification data; performing Yangtze River Basin biological behavior perception based on the Yangtze River Basin biological type identification data to generate Yangtze River Basin biological perception data; Step S32: Collect biological samples of the biological perception data of the Yangtze River Basin, and perform biological information identification on the collected biological samples to obtain biological information data of the Yangtze River Basin; Step S33: performing information matching between the Yangtze River Basin biological information data and the preset Yangtze River Basin biological database. When the matching between the Yangtze River Basin biological information data and the preset Yangtze River Basin biological database is unsuccessful, the corresponding Yangtze River Basin biological information data is marked as foreign biological information data; when the matching between the Yangtze River Basin biological information data and the preset Yangtze River Basin biological database is successful, the corresponding Yangtze River Basin biological information data is marked as local biological information data; Step S34: Performing a biological community density assessment on the alien biological information data to generate alien biological community density assessment data; performing an impact analysis of alien aquatic biological invasion on the local biological information data based on the alien biological community density assessment data to generate an impact factor of environmental biological changes in the Yangtze River Basin; Step S4: collecting plant sensor data in the Yangtze River Basin according to the distributed Yangtze River Basin sensor network to obtain plant sensor data collected in the Yangtze River Basin; sampling and calibrating the plant data collected by the plant sensor in the Yangtze River Basin to generate plant calibration data in the Yangtze River Basin; dividing the Yangtze River Basin biosphere based on the plant calibration data in the Yangtze River Basin to generate biosphere data in the Yangtze River Basin; Step S4 includes the following steps: Step S41: collecting plant sensor data in the Yangtze River Basin according to the distributed Yangtze River Basin sensor network to obtain plant sensor data collected in the Yangtze River Basin, wherein the plant sensors in the Yangtze River Basin include water quality sensors, optical sensors and chlorophyll sensors; Step S42: analyzing the spatiotemporal distribution characteristics of plants in the Yangtze River Basin on the data collected by the plant sensors in the Yangtze River Basin to generate spatiotemporal distribution characteristic data of plants in the Yangtze River Basin; sampling and calibrating the spatiotemporal distribution characteristic data of plants in the Yangtze River Basin to generate calibration data of plants in the Yangtze River Basin; Step S43: evaluating the growth status of plants in the Yangtze River Basin on the plant calibration data in the Yangtze River Basin to generate the plant growth status evaluation data in the Yangtze River Basin; evaluating the distribution characteristics of the plant calibration data in the Yangtze River Basin to generate the plant growth distribution characteristics evaluation data in the Yangtze River Basin; Step S44: dividing the biosphere of the Yangtze River Basin according to the evaluation data of plant growth status in the Yangtze River Basin and the evaluation data of plant growth distribution characteristics in the Yangtze River Basin, and generating biosphere data of the Yangtze River Basin; Step S5: Based on the biosphere data of the Yangtze River Basin, the plant calibration data of the Yangtze River Basin and the biological information data of the Yangtze River Basin are used to calculate the ecological species diversity of the Yangtze River Basin, and the biosphere species diversity index of the Yangtze River Basin is generated; the biosphere species diversity index of the Yangtze River Basin, the influencing factors of environmental biological changes in the Yangtze River Basin and the influencing factors of environmental changes in the Yangtze River Basin are integrated to generate comprehensive water ecological assessment data of the Yangtze River Basin; water ecological health prediction is performed on the comprehensive water ecological assessment data of the Yangtze River Basin to generate water ecological health prediction data; the water ecological health prediction data is visualized in charts to perform water quality and water ecology monitoring operations.

2. The water quality and water ecology monitoring method based on artificial intelligence according to claim 1 is characterized in that: Step S1 includes the following steps: Step S11: Obtain water samples and soil samples from the Yangtze River Basin; Step S12: performing chemical composition analysis on the water samples and soil samples in the Yangtze River Basin to obtain chemical composition data of the water and soil in the Yangtze River Basin; Step S13: Performing an environmental analysis of the Yangtze River Basin in the region where the water chemical composition data and the soil chemical composition data of the Yangtze River Basin are located to generate original environmental data of the Yangtze River Basin; Step S14: Perform sensor network coverage based on the original environmental data of the Yangtze River Basin to obtain a distributed Yangtze River Basin sensor network.

3. The water quality and water ecology monitoring method based on artificial intelligence according to claim 2 is characterized in that: Step S14 includes the following steps: Step S141: performing a Yangtze River Basin terrain analysis on the original Yangtze River Basin environmental data to obtain Yangtze River Basin terrain data; Step S142: dividing the boundary of the Yangtze River Basin according to the terrain data of the Yangtze River Basin, and generating the terrain boundary data of the Yangtze River Basin; Step S143: arranging sensor node locations based on the terrain boundary data of the Yangtze River Basin to generate sensor node location data; Step S144: deploying distributed sensor nodes using multi-dimensional sensor node position data, and calibrating the deployed distributed sensor nodes, thereby generating distributed calibration sensor nodes; Step S145: Perform transmission channel association on the distributed calibration sensor nodes to generate a distributed Yangtze River Basin sensor network.

4. The water quality and water ecology monitoring method based on artificial intelligence according to claim 1 is characterized in that: Step S2 includes the following steps: Step S21: collecting meteorological sensor data from the distributed Yangtze River Basin sensor network to obtain meteorological monitoring data for the Yangtze River Basin, wherein the meteorological monitoring data for the Yangtze River Basin includes temperature monitoring data for the Yangtze River Basin, rainfall monitoring data for the Yangtze River Basin, and wind monitoring data for the Yangtze River Basin; Step S22: Calculate the hydrological gradient index of the Yangtze River Basin based on the temperature monitoring data and the wind monitoring data of the Yangtze River Basin to obtain the hydrological gradient index of the Yangtze River Basin; perform an analysis on the impact of river water density differences in the Yangtze River Basin on the hydrological gradient index of the Yangtze River Basin based on the rainfall monitoring data of the Yangtze River Basin to generate river water density difference data of the Yangtze River Basin; Step S23: performing a runoff analysis on the hydrological gradient index of the Yangtze River basin based on the river water density difference data of the Yangtze River basin to generate hydrological gradient movement data of the Yangtze River basin; performing a hydrological gradient movement trajectory analysis on the hydrological gradient movement data of the Yangtze River basin to generate hydrological gradient movement trajectory data of the Yangtze River basin; Step S24: Analyze the degree of environmental change in the Yangtze River Basin by using the hydrological gradient movement trajectory data of the Yangtze River Basin to generate the influencing factors of environmental change in the Yangtze River Basin.

5. The water quality and water ecology monitoring method based on artificial intelligence according to claim 4 is characterized in that: Step S24 includes the following steps: Step S241: performing a time series analysis of the hydrological gradient movement data in the Yangtze River Basin on the hydrological gradient movement data in the Yangtze River Basin through the hydrological gradient movement trajectory data in the Yangtze River Basin to generate the hydrological gradient movement time series data in the Yangtze River Basin; performing animation conversion on the hydrological gradient movement time series data in the Yangtze River Basin to generate an animation diagram of the hydrological gradient movement in the Yangtze River Basin; Step S242: analyzing the abnormal hydrological gradient events in the Yangtze River Basin on the hydrological gradient motion animation diagram in the Yangtze River Basin to generate abnormal hydrological gradient event data in the Yangtze River Basin; Step S243: analyzing the normal hydrological gradient change trend of the Yangtze River Basin hydrological gradient motion animation diagram according to the abnormal hydrological gradient event data of the Yangtze River Basin, and generating the normal hydrological gradient trend change data of the Yangtze River Basin; Step S244: Detect the impact of abnormal events on the normal hydrological gradient trend change data in the Yangtze River Basin through the abnormal hydrological gradient event data in the Yangtze River Basin, and generate abnormal hydrological gradient impact degree data; analyze the environmental changes in the Yangtze River Basin on the hydrological gradient movement data in the Yangtze River Basin based on the abnormal hydrological gradient impact degree data, and generate the impact factors of the environmental changes in the Yangtze River Basin.

6. The water quality and water ecology monitoring method based on artificial intelligence according to claim 1 is characterized in that: Step S5 includes the following steps: Step S51: performing biosphere food chain analysis on the Yangtze River Basin plant calibration data and the Yangtze River Basin biological information data based on the Yangtze River Basin biosphere data to generate the Yangtze River Basin biosphere food chain data; Step S52: Calculate the ecological species diversity of the Yangtze River Basin by using the river basin species richness calculation formula for the Yangtze River Basin biosphere food chain data to generate the Yangtze River Basin biosphere species diversity index; integrate the Yangtze River Basin biosphere species diversity index, the Yangtze River Basin environmental biological change influencing factors and the Yangtze River Basin environmental change influencing factors to generate the Yangtze River Basin water ecology comprehensive assessment data; The calculation formula for river basin species richness is as follows: Expressed as the species richness of the river basin, It is expressed as the upper limit of the time range of the investigation. Expressed as the biodiversity coefficient, Expressed as the environmental stability coefficient, is expressed as the factor regulating the effect of environmental stability on richness, Expressed as the resource availability coefficient, Expressed as the interference degree coefficient, It is expressed as the observation time point; Step S53: divide the Yangtze River Basin water ecology comprehensive assessment data into data sets to generate a model training set and a model test set; use the support vector machine algorithm to train the model training set to generate a water quality and water ecological health prediction training model; use the model test set to perform model optimization iteration on the water quality and water ecological health prediction training model, thereby generating a water quality and water ecological health prediction model; Step S54: Import the comprehensive water ecological assessment data of the Yangtze River Basin into the water quality and water ecological health prediction model to perform water ecological health prediction and generate water ecological health prediction data; visualize the water ecological health prediction data in charts to perform water quality and water ecological monitoring operations.

7. A water quality and water ecology monitoring system based on artificial intelligence, characterized in that: Used to execute the water quality and water ecology monitoring method based on artificial intelligence as claimed in claim 1, the water quality and water ecology monitoring system based on artificial intelligence comprises: The sensor network coverage module is used to obtain the chemical composition data of water bodies and soil in the Yangtze River Basin; conduct regional Yangtze River Basin environmental analysis on the chemical composition data of water bodies and soil in the Yangtze River Basin to generate original environmental data of the Yangtze River Basin; conduct sensor network coverage based on the original environmental data of the Yangtze River Basin to obtain a distributed Yangtze River Basin sensor network; The Yangtze River Basin hydrological gradient analysis module is used to collect meteorological sensor data from the distributed Yangtze River Basin sensor network to obtain meteorological monitoring data for the Yangtze River Basin; calculate the Yangtze River Basin hydrological gradient index for the Yangtze River Basin meteorological monitoring data to obtain the Yangtze River Basin hydrological gradient index; perform runoff analysis on the Yangtze River Basin hydrological gradient index to generate the Yangtze River Basin hydrological gradient movement data; perform hydrological gradient movement trajectory analysis on the Yangtze River Basin hydrological gradient movement data to generate the Yangtze River Basin hydrological gradient movement trajectory data; analyze the degree of environmental change in the Yangtze River Basin on the Yangtze River Basin hydrological gradient movement data through the Yangtze River Basin hydrological gradient movement trajectory data to generate the Yangtze River Basin environmental change influencing factors; The Yangtze River Basin Biological Analysis Module is used to perform biological perception of the Yangtze River Basin environment based on the distributed Yangtze River Basin sensor network and generate biological perception data of the Yangtze River Basin; collect biological samples for biological perception data of the Yangtze River Basin and perform biological information identification on the collected biological samples to obtain biological information data of the Yangtze River Basin; analyze the impact of alien aquatic biological invasion on biological information data of the Yangtze River Basin and generate the impact factors of biological changes in the Yangtze River Basin environment; The Yangtze River Basin biosphere analysis module is used to collect plant sensor data in the Yangtze River Basin based on the distributed Yangtze River Basin sensor network to obtain plant sensor data in the Yangtze River Basin; perform plant data sampling and calibration on the plant sensor data collected in the Yangtze River Basin to generate plant calibration data in the Yangtze River Basin; divide the Yangtze River Basin biosphere based on the plant calibration data in the Yangtze River Basin to generate biosphere data in the Yangtze River Basin; The water ecological health prediction module is used to calculate the ecological species diversity of the Yangtze River Basin based on the Yangtze River Basin biosphere data, the Yangtze River Basin plant calibration data and the Yangtze River Basin biological information data, and generate the Yangtze River Basin biosphere species diversity index; integrate the Yangtze River Basin biosphere species diversity index, the Yangtze River Basin environmental biological change influencing factors and the Yangtze River Basin environmental change influencing factors to generate the Yangtze River Basin water ecological comprehensive assessment data; make water ecological health predictions for the Yangtze River Basin water ecological comprehensive assessment data to generate water ecological health prediction data; visualize the water ecological health prediction data in charts to perform water quality and water ecology monitoring operations.

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