377 results about "Ecological data" patented technology

The invention provides a landscape garden planting planning management method and system based on terrain environment analysis, and the method comprises the steps: generating a comprehensive terrain environment database through collecting comprehensive environment and biodiversity data; generating a plant ecological adaptability prediction model by using a genetic algorithm to generate an ecological adaptability intelligent evaluation result; obtaining a first target planting combination and a layout scheme through the constructed three-dimensional virtual ecological system model in combination with a user interactive function; optimizing in combination with a style migration algorithm and an emotion perception interactive design method to obtain a final target planting combination and layout scheme; monitoring key monitoring points and indexes to obtain existing planting ecological data, and performing landscape garden planting planning management based on the target planting combination and layout scheme and the existing planting ecological data; according to the invention, intelligentization, individuation and sustainability of landscape garden planting planning are realized, and powerful support is provided for design and management of landscape gardens.

The invention discloses a reservoir scheduling decision support system for multi-objective optimization, and relates to the technical field of hydraulic engineering scheduling. According to the system, comprehensive optimization of flood control, power generation and ecological targets is realized through cooperative work of the multi-source dynamic constraint analysis module, the collaborative optimization module, the scheduling module and the correction module. A dynamic constraint boundary table is generated by collecting meteorological, hydrological and ecological data in real time. And matching a multi-target coordination rule through a physical constraint double-depth network algorithm, generating a Pareto feasible solution set, and mapping the Pareto feasible solution set into a coordination strategy of flood discharge flow and power generation output. In combination with a hydraulic model, flood control and power generation weights are adjusted, an executable dispatching instruction is generated, it is ensured that the ecological flow reaches the standard, and the influence of a downstream submerged area is optimized. And correcting the dynamic constraint boundary table according to actual monitoring data, and continuously optimizing a scheduling decision. Accurate management and multi-objective optimization of reservoir dispatching are realized, and the utilization efficiency of water resources is improved.

The invention relates to a coastal wetland ecological restoration effect evaluation method and system, and belongs to the technical field of ecological monitoring and restoration. Aiming at the problems of static evaluation index lag, insufficient data fragmentation integration and lack of causal diagnosis mechanism in the prior art, multi-source time sequence ecological data are acquired by constructing a three-dimensional monitoring network consisting of satellite remote sensing, an unmanned aerial vehicle, an Internet of Things sensor and an underwater robot; a fusion data set is generated based on space-time alignment and tidal phase marking, dynamic evolution characteristics are extracted by using an LSTM network, and a spatial distribution difference chart of ecological parameters before and after restoration is generated in combination with a GAN; and furthermore, through hot area clustering and historical data association mining, a degradation driving factor is positioned, and an optimization suggestion is generated. The method breaks through the space-time limitation of a traditional evaluation method, remarkably improves the degradation diagnosis precision and the regulation and control efficiency of restoration engineering, and is suitable for various ecological restoration scenes such as estuary delta and coral reefs.

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

The invention provides an intelligent forest fire prediction and early warning system which integrates satellite remote sensing, unmanned aerial vehicle patrol, ground monitoring and other technologies and intelligently identifies ecological behaviors by using a deep learning algorithm. The system is composed of four core modules: a multi-source data acquisition module, an ecological behavior identification module, a machine learning prediction model module and an intelligent early warning and emergency response module. The forest environment is comprehensively monitored, ecological data is analyzed, the fire risk is accurately predicted, early warning information is automatically generated, and the system is closely linked with an emergency system. The system effectively solves the problems of single traditional early warning means, poor timeliness and insufficient precision, significantly improves the accuracy and response speed of forest fire early warning, and provides powerful technical support for forest resource protection and ecological environment safety.

The invention discloses a plateau mountain plant invasion prevention and control ecological barrier forest grass belt configuration optimization method, and relates to the technical field of ecological barrier construction, and the method comprises the steps: collecting basic ecological data of a target research region, and generating an ecological thematic map through preprocessing and visual marking; investigating and counting invasive plant distribution data of the target area, and mapping the invasive plant distribution data to the ecological thematic map to generate an invasive plant distribution thematic map; determining an intrusion source ground and an intrusion path through spatial analysis and diffusion path analysis; performing grade evaluation on the protection area based on the intrusion distribution data, superposing an intrusion path and risk grade information, and determining an ecological barrier range; and constructing an ecological barrier forest and grass belt system, outputting a configuration scheme, and implementing plant invasion prevention and control. The technical problem that in the prior art, accurate prevention and control of invasive plants in a complex ecological environment are difficult due to insufficient comprehensiveness is solved, and the technical effect of optimizing the prevention and control effect on the invasive plants in the target research area is achieved.

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

The invention relates to the technical field of environment monitoring, in particular to a natural reserve ecological monitoring result display system based on geographic information data, which comprises a data acquisition module, a data fusion module, a dynamic GIS module, an intelligent analysis module, a multi-dimensional display module, an interactive report generation module and a user interaction module. Wherein the data acquisition module is used for acquiring ecological monitoring data; the data fusion module is used for carrying out fusion processing on the multi-source ecological monitoring data; the dynamic GIS module is used for mapping the fused ecological monitoring data into a geographic space in real time; the intelligent analysis module is used for intelligently analyzing the geographic space data; and the multi-dimensional display module is used for displaying the ecological monitoring result. According to the system and the method, the ecological data processing capability is improved through an efficient data fusion technology and an advanced intelligent analysis module, and meanwhile, the user experience is greatly enhanced through an interactive report generation and multi-dimensional display module.

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

The invention relates to the technical field of data processing, and discloses a coal-based solid waste physicochemical property classification method and system based on regional ecological characteristics. The method comprises the following steps: collecting coal-based solid waste data, and establishing a resource and ecological database; analyzing association between the resource characteristics and the ecological elements, and obtaining association parameters and influence factors; performing classification modeling to form a classification model and characteristic prediction; evaluating a commercial value, and generating a value score and a market scheme; monitoring the whole life cycle, and obtaining circulation data and benefit evaluation; analyzing and deciding, and making a resource management scheme. According to the method, correlation analysis of coal-based solid waste resource characteristics and regional ecological elements is realized, a scientific classification model is constructed, and a full-life-cycle resource management scheme is provided, so that the utilization efficiency and the management level of coal-based solid waste resources are improved.

The invention provides an ecological system monitoring method and system based on a large model, and the method comprises the steps: carrying out the analysis of ecological data based on a macroscopic ecological model, a plurality of single species distribution models, and a combined species distribution model, and outputting the prediction content; fusing output contents of the three types of models with linkage conditions of environmental data and geographic positions, and processing a fusion result by adopting sequential Bayesian filtering to obtain an estimated value of a species target state in the ecological protection area; the estimated value of the species target state and other multi-source monitoring data are aligned according to timestamps and converted into an input data set, and a target time sequence and key data features included in the input data set are input into a target large model according to a preset prompt template, and predicting the ecological condition in the ecological protection area by using the target large model so as to monitor the ecological protection area. According to the method, multi-dimensional data and a plurality of types of models can be fully utilized to predict the ecological condition of the species, and the reliability and accuracy of prediction are ensured.

The invention relates to the technical field of biodiversity assessment, and discloses a dynamic assessment method and system for the influence of engineering construction on biodiversity, and the method comprises the steps: obtaining a basic ecological data set, and carrying out the construction of an ecological patch graph structure and the edge building of hydrological connectivity according to the basic ecological data set, and obtaining a composite ecological graph model; performing plaque function heterogeneity aggregation and disturbance link simulation processing to obtain an ecological propagation path and a sensitivity pedigree of each node; performing spectral domain decomposition and key propagation node identification processing to obtain ecological intermediary nodes and propagation weights; performing reversible modeling and path entropy backtracking analysis processing to obtain a community reconstruction trend index and a function stability attenuation curve; and carrying out ecological response persistence analysis processing to obtain a time sequence biodiversity influence index. According to the method, the problems of static state, splitting, low coupling and the like in the prior art are solved, and the precision, timeliness and predictive capacity of ecological disturbance dynamic response evaluation are remarkably improved.

The invention discloses a pollutant load contribution analysis method, system and equipment in a lake pollution source and a storage medium, and belongs to the technical field of lake water environment pollution inversion identification. The method comprises the steps of obtaining original ecological data of a target lake; inputting the original ecological data into a two-dimensional hydrodynamic force-water quality model for parameter calibration to obtain a pollutant migration model; the superposition conditions of the different pollution sources are input into a pollutant migration model for simulation, and the pollutant simulation concentration of any space point in the target lake is obtained; and calculating pollutant load contribution rates of different pollution sources to any spatial point location in the target lake in different time periods to obtain a dynamic change process of pollutants on any spatial point location. According to the method, the pollutant load contribution rate of different pollution sources to any spatial point location in the lake in different time periods is calculated by inputting superposition of different pollution sources, the dynamic change process of pollutants on any spatial point location in the lake is simulated, and support is provided for lake pollution load inversion and tracing.

The invention discloses a lake ecological health evaluation method based on big data, and the method comprises the steps: inputting the current lake water quality ecological data obtained in advance into a lake ecological health model obtained through training, and obtaining the health level of a lake ecological system. Training to obtain a lake ecological health model, including: obtaining lake water quality ecological data, the lake water quality ecological data including monitoring data, regional weather data and hydrological data; an anomaly detection method based on hypothesis testing and an anomaly detection method based on prediction are combined, abnormal values existing in the monitoring data are subjected to abnormal value identification and cleaning, and updated lake water quality ecological data are obtained; and inputting the updated lake water quality ecological data into the constructed lake ecological health model, updating the weight of the constructed lake ecological health model, and obtaining a trained lake ecological health model. The method provides decision support for lake ecological health protection and basin sustainable development.

The invention provides an intelligent agricultural management method and system based on image processing, and the method comprises the steps: carrying out the rice-fish symbiotic region network deployment of a rice-fish symbiotic region, carrying out the multi-source data collection of rice, fish and environment based on the rice-fish symbiotic region network, obtaining the rice-fish symbiotic ecological data, carrying out the data preprocessing of the rice-fish symbiotic ecological data, and carrying out the data processing of the rice-fish symbiotic ecological data. Constructing a rice-fish data heterogeneous graph based on the rice-fish symbiotic ecological data after data preprocessing, constructing a rice-fish attention network model, importing the rice-fish data heterogeneous graph into the rice-fish attention network model, performing cross-domain feature fusion on the rice-fish symbiotic ecological data based on the rice-fish attention network model, and obtaining rice-fish associated data. And then performing rice-fish causal reasoning based on the rice-fish association data, generating a rice-fish association knowledge graph, establishing a rice-fish decision model, importing the rice-fish association knowledge graph into the rice-fish decision model, and generating a rice-fish regulation and control decision. Through the method, an accurate and efficient intelligent dynamic regulation and control decision is provided for a user.

The invention discloses a waterfowl habitat ecological data analysis method and system, a medium and electronic equipment. The waterfowl habitat ecological data analysis method comprises the steps that S1, ecological data of a waterfowl habitat is acquired and preprocessed; s2, constructing a waterfowl habitat ecological model based on the preprocessed data; s3, judging whether the ecological condition of the habitat meets a preset suitability standard or not according to an output result of the ecological model; the system comprises a multi-source data acquisition module based on a system architecture, an intelligent preprocessing module, an ecological model construction module, a habitat suitability evaluation module and a visualization and report module. Compared with the prior art, the method has the advantages of comprehensiveness (2) accuracy; and practicability.

The invention relates to the technical field of marine organism protection, in particular to a marine organism diversity protection method based on an ecological dynamic model, which comprises the following steps: collecting biological and non-biological data in a marine ecosystem, extracting DNA from a seawater sample by utilizing an environmental DNA technology, and constructing the ecological dynamic model based on the collected ecological data and eDNA analysis result. According to the method, the ecological dynamics model is established, the collected data is stored and verified through the block chain technology, and a marine biological diversity protection scheme is designed and implemented according to the ecological dynamics model prediction result and the block chain verification data. Scientific support is provided for protection decision making, protection measures and management regulations are automatically executed through the intelligent contract technology, the system is allowed to respond immediately when it is detected that key environment variables or biological indexes change, and the flexibility and timeliness of responding to environment changes are greatly improved.

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

The invention relates to the technical field of ecological data analysis, in particular to a pumped storage power station slope ecological restoration effect evaluation method, which comprises the following steps: monitoring a pumped storage power station slope ecological restoration area; calculating a dry season restoration state characterization value; calculating a frozen season restoration state characterization value; calculating the representation value of the restoration state in the rainy season; outputting a corresponding repair effect evaluation prompt according to each repair level; and correcting the preset evaluation duration. Through real-time monitoring and dynamic weight adjustment, the accuracy and adaptability of an evaluation result are ensured, environmental changes can be responded in time, comprehensive ecological restoration state analysis is provided through comprehensive consideration of various environmental parameters, different restoration levels are clearly distinguished through the evaluation result, and the method has the advantages of being high in practicability and the like. Clear guidance is provided for taking targeted restoration measures, and the problem that the restoration effect assessment is inaccurate due to the fact that the adaptability to extreme climate conditions is insufficient and ecological restoration measures cannot be adjusted in time is effectively solved.

The invention discloses a drainage basin ecological anomaly monitoring method based on clustering processing. The method comprises the steps of data acquisition, drainage basin ecological mapping, radius optimization, initial clustering center selection, drainage basin ecological data clustering processing and drainage basin ecological anomaly monitoring. The invention belongs to the field of ecological monitoring, and particularly relates to a clustering processing-based drainage basin ecological anomaly monitoring method, which comprises the following steps of: introducing a time weight coefficient to construct a time fusion feature vector, and improving the sensitivity to an emergency; the sampling density is automatically adapted by iteratively adjusting the radius, and the monitoring accuracy is improved; introducing a time change factor, constructing a composite index, selecting a core reference point, and objectively emphasizing the most representative core position; the sample weight is introduced to strengthen anomaly monitoring, the attention degree on different indexes is continuously adjusted through core reference point guidance, and the influence of important ecological variables is improved; the weight is updated based on the index stability, the contribution degrees of different indexes to anomaly monitoring are distinguished, and then the anomaly monitoring effect is improved.

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

The invention relates to the field of intelligent agricultural management and optimization, and discloses an AI vertical large model-based coffee global ecological intelligent management system, which comprises a data acquisition and fusion module, an AI vertical large model module, a state modeling and embedding module, a multi-objective optimization module, a multi-agent game control module and a control execution and feedback learning module, the invention also discloses a coffee global ecological intelligent management method based on the AI vertical large model, and the method comprises the following steps: data collection and fusion: collecting farmland meteorology, soil environment and crop growth multi-dimensional ecological data through the Internet of Things equipment, carrying out the cleaning, denoising and time sequence alignment of the collected original data, and carrying out the fusion of the data; and forming a multi-modal data stream which can be processed by the AI model. Through multi-target optimization, intelligent agent game control and a real-time feedback learning mechanism, collaborative optimization of ecology, economy and supply chain targets is realized, and the flexibility, adaptability and execution precision of the system in a complex environment are improved.

The invention provides a hydraulic engineering carbon sink value accounting method and system, and relates to the crossing field of hydraulic engineering and environmental science, and the method comprises the steps: collecting the engineering basic data and multi-dimensional ecological data of the hydraulic engineering; constructing a soil carbon sink sub-model, a water body carbon balance sub-model and a vegetation biological quantum model to form a carbon sink dynamic accounting model; and dynamically calculating the total carbon sink amount and converting the total carbon sink amount into an economic value according to the engineering basic data, the multi-dimensional ecological data and the carbon sink dynamic accounting model. The method is used for quantifying the carbon sink contribution of the water conservancy project to ecological systems such as soil, water and vegetation and converting the carbon sink contribution into economic value evaluation, so that the defects in the prior art are overcome, the carbon sink value of the water conservancy project is accurately and comprehensively calculated, and a scientific basis is provided for environmental benefit evaluation and sustainable development of the water conservancy project.

The invention discloses a marine ecological protection and restoration project comprehensive evaluation method based on multi-dimensional analysis, and relates to the field of marine ecological analysis, and the method comprises the steps: obtaining multi-dimensional monitoring data through constructing a target region map model and setting a monitoring point, and generating an ecological feature vector; calculating a relative distance and a deviation between the monitoring point and the comparison feature vector to obtain a repair expected goodness of fit; screening monitoring points with low goodness of fit and integrating the ecological data set; training and generating an optimized simulation feature vector based on a GAN model; and analyzing the simulation parameters and evaluating the ecological evolution trend to complete comprehensive evaluation. According to the method, multi-dimensional and high-precision ecological assessment is realized, the accuracy of restoration effect prediction and the scientificity of an assessment result are improved, reliable support is provided for a marine ecological protection restoration decision, and the problems of one-sided monitoring, insufficient prediction and the like of an existing method are solved.

The invention relates to the technical field of intelligent mine and environmental protection crossing, and discloses a mine development ecological data fusion and causal mining method based on a double-lineage knowledge graph. The method comprises the steps of constructing a double-pedigree domain ontology model comprising a production activity pedigree and an ecological response pedigree, carrying out multi-modal data space-time alignment and standardization, constructing a dynamic map reflecting the real-time state of a mine, predicting future ecological indexes by using a time sequence diagram neural network introduced with physical constraints, and carrying out real-time monitoring on the real-time state of the mine. And calculating the contribution degree of each production link to abnormity by utilizing anti-fact reasoning so as to lock a disaster-causing source, and generating a production regulation and control instruction according to a causal analysis result, and feeding back and executing the production regulation and control instruction. According to the method and the system, full-process traceability and accurate regulation and control of mine environment problems such as surface deformation and water and soil pollution are realized, so that the problems that data multi-source heterogeneous is difficult to fuse and the causal relationship is difficult to confirm in mine ecological environment monitoring are solved.

The invention discloses an image recognition method and system for evaluating mine ecological restoration, and the method comprises the steps: collecting ecological data sets before and after mine ecological restoration in a target mine region through a remote sensing satellite, an unmanned plane and field measurement; identifying mine ecological images before and after mine ecological restoration in the ecological data set, and calculating a first difference degree between the restored mine ecological image and the mine ecological image before restoration; according to the ecological data set, calculating an ecological health index after ecological restoration of the mine; comparing the first difference degree with an ideal difference degree to obtain a first comparison result; comparing the ecological health index with an ideal ecological health index to obtain a second comparison result; and evaluating the restoration effect of the mine ecology according to the first comparison result and the second comparison result. According to the embodiment of the invention, comprehensive ecological health assessment can be carried out through quantitative indexes, the actual effect of ecological restoration is more scientifically judged, and scientization, standardization and standardization of mine ecological restoration are promoted.

The embodiment of the invention provides an urban green land community ecosystem regulation service optimization factor identification method and device based on a fusion algorithm and electronic equipment, and belongs to the technical field of ecological data processing, and the method comprises the steps: collecting a plant community, an elevation model and meteorological monitoring data to form a basic data set; uniformly quantifying the data and evaluating the ecological service in combination with the measurement and calculation model to form a standardized data set; inputting the features into a plurality of machine learning models, and screening out a key feature set through operations such as guided aggregation and the like; constructing an IOFESRM-LMEM model, outputting an optimal model through a series of operations, and analyzing key factors; and finally, outputting an optimization result, a key factor and an evaluation result by using a multi-dimensional index evaluation model. According to the invention, data support is provided for improving the ecological function of the urban green land, formulating ecological planning and optimizing urban management.

The invention discloses an ecological analysis method and system based on urban water treatment, and relates to the technical field of environmental engineering, and the method comprises the steps: determining ecological data, deploying a sensor, collecting the ecological data in real time through the sensor, and carrying out the preprocessing; according to the preprocessed ecological data, constructing an ecological prediction model, and predicting the concentration of the disinfection by-product; and comparing the predicted disinfection by-product concentration with a set disinfection by-product concentration threshold value to obtain a concentration error amount, and inputting the concentration error amount into a PID controller to obtain a control input amount. Through real-time acquisition and pretreatment of ecological data, accurate prediction of the concentration of disinfection by-products, adaptive adjustment of a PID controller and physical quantity conversion of control signals, the accuracy and the automation level of the urban water treatment system are remarkably improved, and through accurate prediction and real-time control, the urban water treatment efficiency is improved. The system effectively reduces the excessive generation of disinfection by-products, avoids the excessive use of medicaments, and improves the stability and operation efficiency of the system.

The invention discloses a reclaimed water replenishing flow control method and system based on industrial wastewater recycling, and the method comprises the steps: dividing a river into a plurality of water replenishing regions according to the terrain height of a river landscape, collecting basic ecological data of different water replenishing regions, and inputting the basic ecological data and future weather data into a flow prediction model, outputting the water replenishing flow required by each water replenishing area; the water replenishing priority is determined according to the water replenishing flow needed by each water replenishing area, and the water replenishing flow speed is determined according to the river channel width and gradient of the water replenishing area; water flow supply is conducted according to the water supply priority and the water supply flow speed; and monitoring ecological change data of each water replenishing area, feeding back the ecological change data to the flow prediction model, carrying out continuous training optimization, and applying the optimized model to the next water replenishing period. According to the method, multivariate data are integrated, the water supplementing flow can be accurately predicted, the supplementing amount needed by each water supplementing area is dynamically adjusted by combining future weather data with basic ecological data, the water supplementing strategy can be continuously optimized, and effective utilization of water resources is ensured.

According to the basic grassland ecological data monitoring and sampling system disclosed by the invention, in the sampling operation, cutting rings can be automatically taken out and stored through rotation of a turntable, rotation of a butt-clamping mechanical claw and lifting of a butt-clamping sliding block, so that an unmanned vehicle can carry a plurality of cutting rings for sampling work, the sampling work efficiency is improved, and the sampling time is shortened. The cutting ring inserting work can be automatically completed through cooperation of the butt-clamping mechanical claw and the pressing head, soil around the cutting ring can be automatically excavated through the hollow drill, the labor intensity of an operator is relieved, the automation level is improved, the butt-clamping mechanical claw can enter an annular groove excavated by the hollow drill, the cutting ring is taken out by clamping the side face of the cutting ring, and the cutting ring inserting efficiency is improved. The cutting ring does not need to be additionally transformed, the universality of the cutting ring is improved, and the sheath is pressed outside the cutting ring before the soil around the cutting ring is dug out, so that the situation that the accuracy of an analysis result is reduced due to soil disturbance in the cutting ring caused by displacement of the cutting ring is avoided.