51 results about "Ecoregion" patented technology

The invention provides a key species population spatial distribution quantification method and system in a complex ecological system, and the method comprises the steps: carrying out the feature extraction of biological and environmental data collected in a target ecological region, and carrying out the fusion of the extracted multi-modal features, and generating a comprehensive feature vector; based on the target large model, analyzing the comprehensive feature vector, identifying species in the target ecological region, and obtaining species identification information of each species; based on the species identification information and the comprehensive feature vector corresponding to the target ecological region, quantifying a species population space distribution condition, and generating species population quantification information at least comprising a population distribution diagram, a population density diagram and a population dynamic change diagram; and based on the species population quantitative information and the collected original data, generating and displaying a quantitative report. According to the method, the species can be intelligently, efficiently and accurately identified based on the large model, the distribution condition and dynamic change of the species can be visually displayed, a quantitative report is provided, and a powerful basis is provided for ecological protection and management.

The invention discloses a water conservancy project ecological construction method and system based on artificial intelligence, and relates to the technical field of ecological system simulation, and the method comprises the steps: collecting historical ecological event data of each region of a water conservancy project, analyzing the causal association between events based on an artificial intelligence model, and calculating and dynamically updating the association degree index between any two regions; constructing a regional association network based on the association degree indexes, calculating core scores of nodes in the network to identify a core region, and dynamically improving the monitoring sampling frequency of ecological data for the core region; and when an abnormal state is monitored in a single region, predicting the abnormal risk probability of other regions, and generating and recommending an optimal coping plan. Compared with the prior art, the method has the advantages that by constructing a dynamic regional correlation analysis system, the mutual influence between ecological regions is quantified, the monitoring resources are distributed uniformly to be intelligently and optimally configured based on the network core degree, and the monitoring efficiency and the capturing capacity of key information are remarkably improved.

The invention relates to the technical field of ecological system health assessment, in particular to a regional ecological system health assessment method based on remote sensing data. The method comprises the following steps: acquiring a multi-temporal remote sensing image of a target ecological region; performing wave band reflectivity processing on the multi-temporal remote sensing image, and extracting lake attribute parameters; recognizing a hub lake set based on lake attribute parameters, evaluating lake area and vegetation coverage change to quantify regional ecological degradation, and comprehensively evaluating a regional ecological health index of a current state; the ecological water level of the hub lake is regulated and controlled according to the regional ecological health index, and an ecological water supplementing scheme of the atrophic lake is formulated, so that water resource management of the ecological system of the lake group region is achieved. Through coupling lake group network topology analysis and water volume space redistribution, systematic evaluation of lake group ecological health is realized so as to accurately identify key hub lakes and support differentiated water resource management.

The invention relates to the technical field of water ecology protection and restoration, in particular to an early warning scheduling optimization decision-making method for water ecology protection and restoration. By fusing the data of the fixed water quality monitoring equipment group and the mobile water quality monitoring equipment group, the coverage limitation of a single fixed monitoring point is broken through, and the comprehensive perception of a water ecological area is realized; meanwhile, the total water quality anomaly value is calculated based on analysis anomaly from three dimensions of biological activity, substance exchange and pollution form, so that the accuracy and comprehensiveness of pollution level judgment are greatly improved, and misjudgment of a single index is avoided; the traceability priority is accurately determined by quantifying the pollution migration probability of each monitoring direction; and a dynamic monitoring unit is combined to control verification of a mobile monitoring point, a preferable pollution deduction direction and an early warning area are quickly locked, the hysteresis of manual troubleshooting is reduced, an efficient closed loop from pollution identification to traceability early warning is realized, and accurate decision support is provided for timely pollution blocking and restoration.

The invention discloses a grain storage sub-ecological region intelligent division method based on a spatial analysis and clustering technology, and the method comprises the following steps: 1, obtaining the geographic position data, meteorological data and grain condition data of each sampling point in a research region, and enabling the data to serve as the sample data of each sampling point; taking the meteorological data and the grain condition data of each sampling point as grain storage variables of the sample; wherein the geographic position information comprises the longitude, the latitude and the altitude of the sampling point, the meteorological data comprises the air temperature, the relative humidity, the precipitation and the sunshine duration of the sampling point, and the grain condition data comprises the grain temperature of the granary corresponding to the sampling point; step 2, calculating a global Moran index of each grain storage variable in each sampling point, and respectively screening out characteristic indexes in the meteorological data and the grain condition data according to the global Moran index; and step 3, determining a clustering target number K, clustering sampling points in the research area by using a K-means clustering algorithm, and dividing the research area into K grain storage sub-ecological areas.

The invention relates to the technical field of risk assessment, in particular to a grassland ecosystem comprehensive drought risk assessment system based on multi-source data. The risk feature highlighting characterization value is calculated by determining the feature highlighting factors of the different risk areas of the grassland, so that the feature highlighting sorting sequence of the risk areas of the grassland is rapidly determined, the precision of grassland comprehensive drought risk assessment is improved, and meanwhile, the risk assessment accuracy is improved. According to the grassland actual data uploaded by the user side and the drought risk index information corresponding to the grassland ecological system, the maximum feature highlighting characterization value of each risk area of the grassland can be accurately obtained, and the accuracy of comprehensive drought risk assessment of the grassland ecological area is improved.

This invention provides a method and system for mine ecological restoration, relating to the field of ecological environment restoration technology. The method includes: obtaining soil damage characteristics based on a pre-acquired ecological area to be restored; obtaining a mine geological composition based on the soil damage characteristics and pre-acquired restoration goals, combined with geological soil selection principles; obtaining a plant species composition based on sampling results from pre-acquired sample plots and restoration goals; and performing ecological restoration of the ecological area to be restored based on the mine geological composition and plant species composition. This invention accelerates the process of geological soil formation and vegetation restoration in abandoned open-pit mines, improves the tolerance of restored vegetation communities to climate fluctuations, and truly achieves precise and sustainable ecological restoration of open-pit mines.

The invention provides a forest grass ecological environment monitoring system and method, and the method comprises the steps: extracting dynamic significance features from a multi-temporal remote sensing image, and generating a spatial-temporal change diagram of forest grass ecological elements according to the dynamic significance features; screening out a plurality of ecological response characteristics reflecting the target forest grass ecological region according to the spatial-temporal change diagram, and further converting all the ecological response characteristics into image quantitative indexes of the forest grass ecological state; determining the dynamic influence quantity of the environmental factors on the forest grass ecological state in the forest grass ecological environment based on the incidence relation between the environmental factors and the vegetation characteristics in the multi-modal environmental data; and carrying out evolution prediction on the forest grass ecological state in the target forest grass ecological region through the image quantitative index and the dynamic influence quantity to obtain an ecological environment evolution monitoring result of the target forest grass ecological region. By adopting the scheme of the invention, the evolution prediction of the forest grass ecological state can be realized in a complex and changeable forest grass ecological environment, so that the monitoring capability of the forest grass ecological state in a large range is improved.

The invention discloses an ecological biomass estimation method based on fusion of a remote sensing image and ground observation data, which relates to the technical field of ecological biomass estimation, and comprises the following steps: obtaining a remote sensing image of an observation area, and carrying out image preprocessing on the remote sensing image to obtain an enhanced image; dividing different ecological regions; extracting ground observation data; dividing the similar ecological areas into an ecological area group; calculating a fluctuation index of the ecological biomass in the similar ecological region; analyzing the ground observation data in the different ecological area groups, and calculating the density relationship of the ecological biomass in the different ecological area groups; the ecological biomass in other areas to be estimated is estimated; the method is used for solving the problem of large deviation of a biomass estimation result caused by insufficient consideration of factors influencing biomass distribution in an existing ecological biomass estimation technology.

The invention discloses an ecological operation data acquisition AI analysis system, which comprises a distributed multi-source environment collection unit, an edge computing platform and a cloud service platform, and is characterized in that the edge computing platform is in communication connection with the cloud service platform, and the edge computing platform is in communication connection with the distributed multi-source environment collection unit; a fire risk analysis module is integrated in the cloud service platform, the multi-source environment collection unit collects ecological region environment parameters, and the edge calculation unit preprocesses collected data; and the fire risk analysis module obtains the preprocessed data and outputs a fire risk level. Compared with the prior art, the ecological operation data acquisition AI analysis system and the operation method have the advantages that operation and use are convenient, and data acquisition can be carried out to complete ecological safety protection.

This application provides an online authentication method and apparatus for ecological asset data based on privacy computing. The method includes: acquiring multi-source ecological asset data for a target ecological region and separating it into environmental physical features and ecological asset accounting features; generating spatiotemporal zero-knowledge proofs for the environmental physical features and generating homomorphic ciphertext for the ecological asset accounting features; constructing a dual-track verification task for the spatiotemporal zero-knowledge proofs and homomorphic ciphertext in a trusted execution environment; executing the dual-track verification task for cross-domain verification to obtain multi-dimensional verification results; and generating an online authentication certificate based on the multi-dimensional verification results and the consensus digital signature output by the trusted execution environment when the multi-dimensional verification results meet the composite authenticity conditions. This application, by combining privacy computing with a trusted execution environment, improves the privacy protection level of ecological asset data in the cross-domain verification process and enhances the verification consistency between physical features and economic indicators.

The application provides an Internet of Things intelligent management system for construction machinery, and relates to the technical field of construction machinery management, comprising: a sensing and collecting module for collecting device state parameters and environmental parameters of the construction machinery in real time; a space-time data processing module for processing, storing and analyzing the device state parameters and environmental parameters; an intelligent decision module for generating intermediate decision instructions; a decision execution module for issuing the intermediate decision instructions to a target construction machinery control system; and an ecological coordination module for interacting with an external ecological supervision system and executing an ecological compensation strategy. The application realizes Pareto optimal solution among conflicting targets such as energy consumption, efficiency and failure rate through an intelligent decision module based on a multi-objective genetic algorithm; through an ecological red line dynamic matching algorithm, high-precision identification of the boundary of a work prohibited area is realized, and in combination with the migration cycle data of migratory birds, the interference rate of key ecological areas is reduced, so that the protection effect of biological diversity is improved.

The application discloses a kind of marine ecological space red tide risk area division methods, it is related to marine ecological regional division technical field, including the following steps: through monitoring point collection sea water body's chemical oxygen demand, inorganic nitrogen, active phosphate and dissolved oxygen, obtain the original data of sea water body;And pretreatment is carried out, obtain the reference data of sea water body, and establish water body parameter variation index, obtain water body variation index data;And obtain the reasonable threshold of water body parameter variation index, obtain index reasonable threshold information;Based on the chemical oxygen demand of collected sea water body, inorganic nitrogen, active phosphate and dissolved oxygen, and according to index reasonable range information, divide red tide risk area;The present application is used to solve the problem that the existing marine ecological regional division technology cannot be combined with the eutrophication index of water body according to the index change of regulatory sea water body when dividing red tide high-risk area in specified sea area, and timely and reliably divide out red tide high-risk area.

The invention relates to the technical field of hydro-fluctuation belt ecological environment monitoring, and provides a hydro-fluctuation belt ecological environment monitoring method, system and device and a storage medium, and the method comprises the steps: obtaining monitoring information of a falling belt coverage canceling region, ecological vegetation and a character target; decoding the monitoring image of the hydro-fluctuation belt based on the monitoring information, and performing frame extraction according to a preset time interval to obtain a to-be-analyzed image; and calculating and analyzing the proportion of the bare land area of the hydro-fluctuation belt area in the whole hydro-fluctuation belt area, the proportion of the ecological vegetation area in the whole hydro-fluctuation belt area and the appearance duration of the figure target based on the to-be-analyzed image, and outputting early warning information. Therefore, by comparing the bare land area of the hydro-fluctuation belt, the ecological vegetation area and the appearance duration of the person target with the preset threshold value and recording the change of the area of the concerned area according to the time change, the purposes of ecological monitoring and early warning management are achieved, and the behavior of artificially entering the ecological area of the hydro-fluctuation belt is sensed and early warned in real time. Man-made interference on the ecological environment of the hydro-fluctuation belt is avoided.

The invention discloses an ecological remediation device based on territorial space planning, and belongs to the field of ecological remediation devices.The ecological remediation device comprises a track base and a track extende.The inner wall of the track base is fixedly provided with a plurality of transverse beams at equal intervals, and the tops of the transverse beams are provided with pushing lock chain assemblies; the propelling lock chain assembly comprises a plurality of lock chains which are connected end to end through connecting assemblies, an installation part is arranged in the center of the upper surface of each lock chain, and a stirring part, a correcting tooth and a locking part are hinged to the interior of each installation part through a shaft. According to the invention, the track base and the cross rod are used as embedded parts to provide a movement track for propelling the chain assembly to operate, so that a worker can conveniently record daily workload, meanwhile, the frequency of shuttling the ecological area by the worker is reduced, the workload and physical output of the worker are reduced, and the working efficiency of the worker is improved. And local untreated positions can be accurately identified according to the representation of the track base, so that workers can conveniently and accurately recover areas which cannot be treated temporarily.

The invention discloses a cross-regional land market information analysis and price prediction method based on federated learning, and relates to the technical field of land resource assessment, and the method comprises the following steps: obtaining crop-soil coupling data and a land ecological connection matrix of a target object; performing topological mapping on the crop-soil coupling data according to the land ecology connection matrix, and performing mutual projection on a topological mapping result and the crop-soil coupling data to generate a tensor projection result; and performing time sequence matching on the crop-soil coupling data and the tensor projection result, and performing lag expansion on a time sequence matching result by applying an adaptive attenuation kernel to generate a time sequence rotation result. According to the scheme, attenuation parameters can be automatically optimized according to local data characteristics through the dynamically adjusted adaptive attenuation kernel, meanwhile, a tensor correction factor is introduced to eliminate cross-data-source mapping errors, and value fluctuation rules of different ecological region lands in a crop rotation period can be accurately captured.

The invention discloses a planting method for increasing the corn yield based on a novel nano-fertilizer, and belongs to the technical field of agricultural planting. The invention provides a planting method for increasing the corn yield based on a novel nano-fertilizer in order to solve the problems that according to a traditional one-detonation corn planting method, release and absorption of fertilizer nutrients are staggered, seedlings are prone to burning, fertilizer is removed in the later period, the utilization rate is low, pollution is heavy, and the nano-fertilizer has the biological accumulation risk, narrow soil adaptation and high cost. The method comprises the following steps: soil preparation treatment, seed pretreatment, sowing and different-position simultaneous application of a base fertilizer, and topdressing of a zinc fertilizer, a nitrogen fertilizer, a potassium dihydrogen phosphate fertilizer and borax in an elongation stage and a large horn mouth stage. The method realizes synchronization of nutrient release and corn absorption rhythm, avoids seedling burning and fertilizer release phenomena, improves the fertilizer utilization rate, reduces environmental pollution, has the advantages of yield and efficiency increase, greenness, safety, strong adaptability and the like, is suitable for arid regions, semi-arid regions, semi-humid regions, humid regions and other ecological regions, and has good popularization and application prospects.

This invention provides a method for quantifying the impact of the ecological barrier function of black soil farmland on grain yield, relating to the field of grain yield impact assessment technology. The method includes: acquiring geospatial data on climate, soil, hydrology, and land use of the target ecological region; determining the extent of the black soil farmland ecological barrier and calculating its five ecosystem service function values ​​(habitat quality, water conservation, soil retention, water purification, and carbon sequestration); generating an ecological barrier function comprehensive value (ESI) through normalization and equal-weighted overlay; calculating and normalizing the grain yield of black soil farmland using remote sensing data and the harvest index method; fitting the nonlinear relationship between ESI and grain yield based on multi-scale window random sampling; and determining the optimal ratio of ecological barrier grids, the minimum threshold for ecological function, and the saturation threshold for farmland ecological function through derivative analysis. This invention overcomes the challenge of quantification at the landscape or regional scale, providing precise evidence for black soil ecological restoration and food security decision-making.

The invention relates to the technical field of ecological impact assessment, in particular to a dynamic grading assessment method and system for ecological impact of plateau highway construction and operation, and solves the problems that the existing highway is in the plateau, and the influence of ecological areas related to the highway cannot be effectively monitored; the plateau highway ecological evaluation system comprises a pre-construction evaluation module, a construction period evaluation module, an operation period evaluation module and a dynamic grading evaluation module, the pre-construction evaluation module is used for measuring ecological original data before highway construction, and the dynamic grading evaluation module is used for evaluating the ecological influence degree before and after highway construction; grading evaluation is carried out according to the ecological sensitivity index; and the construction period evaluation module is used for carrying out quantitative evaluation on the negative influence on the ecological environment in the highway construction process. The plateau ecological data related to the highways before and after the plateau highways are constructed are subjected to multiple measurements, and then dynamic grading is performed according to data changes, so that the influence of the plateau highways on ecology is accurately evaluated.

This utility model discloses a real-time atmospheric carbon source monitoring device within an ecological area, relating to the field of atmospheric monitoring equipment technology. It includes an equipment frame, an equipment box, an anemometer, and a monitoring mechanism. A cleaning mechanism is installed on the monitoring mechanism. The equipment box, anemometer, and monitoring mechanism are fixedly mounted on the equipment frame. The monitoring mechanism includes a base, a monitoring probe, a protective top, and a protective net. A support rod fixedly connected to the base is provided on the lower end face of the protective top. The monitoring probe is mounted on the upper end face of the base. The protective net is fixedly installed between the protective top and the base. The cleaning mechanism includes a cleaning rod, a bottom positioning ring, a top positioning ring, a first motor, and a blower. The cleaning mechanism is movably mounted on the upper end face of the base to clean the protective net. This utility model has the advantage of automatically cleaning the protective net, solving the problems of existing equipment requiring manual cleaning and low data accuracy.

The invention discloses a method and a system for estimating the gross primary productivity of vegetation, relates to the field of ecological remote sensing and carbon cycle research, and is used for estimating the gross primary productivity of grassland vegetation by using an IPCM model provided by the invention, so that the precision can be greatly improved. And the problems of large systematic deviation and insufficient trend consistency of the original PCM model in the GPP estimation of the climate fluctuation region are effectively solved. Meanwhile, the calculation of the VPD and SWC joint stress factor is completely based on remote sensing data, the calculation process is simple, and the practicability and the operation efficiency of the new model are greatly improved. In addition, the combined stress factor also shows good environmental adaptability and stable estimation effect in an ecological region with complex and diverse climate conditions and remarkable annual fluctuation.

The invention discloses an in-situ breeding and releasing method for whitebait. The core of the method is that a proper ecological area is selected in a whitebait natural breeding water area, and a semi-closed controllable breeding system is constructed in situ; the parent fishes are directly trapped and captured from the water area, and temporary rearing, natural fertilization or artificial insemination are completed in the system; fertilized eggs are subjected to running water incubation in the in-situ system; after nutrient enrichment, hatched fry are directly and temporarily cultured in the system or slowly released into a natural water area in stages. According to the method, man-made interference and environmental stress in the whitebait breeding and development process are reduced to the maximum extent, the survival rate of the whole process from fertilization, incubation to larva survival is remarkably increased, and the whitebait breeding and releasing effect and the population recovery efficiency are effectively improved.

The utility model relates to an ecological restoration monitoring device, in particular to an ecological restoration monitoring device which comprises a machine frame, a supporting plate and a camera, a supporting mechanism is arranged at the lower end of the machine frame, the supporting plate is arranged on the side face of the machine frame, and an angle adjusting mechanism is arranged at the upper end of the supporting plate. A camera is arranged at the upper end of the angle adjusting mechanism, and a solar panel is arranged at the upper end of the rack; when the device is used, liquid such as dew can be collected, so that the gravity of a collecting tank is changed, the collecting tank can drive a second cleaning plate to move, and the solar panel is cleaned; and after the collecting tank moves downwards, the first cleaning plate is driven to move through magnetic force, so that the surface of the camera is cleaned through the first cleaning plate, and then it is guaranteed that the equipment can monitor a certain ecological area for a long time.

The invention provides an engineering machinery internet of things intelligent management system, and relates to the technical field of engineering machinery management, and the system comprises a sensing collection module which is used for collecting equipment state parameters and environment parameters of engineering machinery in real time; the spatio-temporal data processing module is used for processing, storing and analyzing equipment state parameters and environment parameters; the intelligent decision-making module is used for generating an intermediate decision-making instruction; the decision execution module is used for issuing the intermediate decision instruction to the target engineering machinery control system; and the ecological cooperation module is used for performing data interaction with an external ecological supervision system and executing an ecological compensation strategy. According to the invention, through the intelligent decision module based on the multi-target genetic algorithm, a Pareto optimal solution is realized among conflicting targets such as energy consumption, efficiency and fault rate; through an ecological red line dynamic matching algorithm, high-precision identification of a work forbidden zone boundary is realized, and by cooperating with migrant bird migration period data, the interference rate of a key ecological region is reduced, and the protection effect of biodiversity is improved.

The present invention discloses a carbon sink calculation method for a metal mine restoration area, which belongs to the field of carbon sink detection technology. The method comprises the following steps: dividing the metal mine restoration area into a plurality of different ecological region quadrats, calculating the sum of carbon reserves in different ecological regions, and recording it as C. E ; Soil samples were collected to assess the impact of soil erosion on carbon storage in the metal mine restoration area. By measuring the amount of soil erosion and the organic carbon content of the surface soil, the carbon loss caused by soil erosion was calculated, which was recorded as C SE Assess the impact of acid mine drainage treatment on carbon emissions in the remediation area. By obtaining the runoff conditions and relevant carbon emission factors in the remediation area, calculate the carbon emissions (GHG) generated by acid mine drainage treatment. E ; Set the measurement period and calculate the total carbon sink ΔC in the metal mine restoration area during the measurement period according to the formula T The carbon sink calculation method of the present invention can provide a comprehensive and quantitative assessment of the total carbon sink capacity of a mine restoration area.

The embodiment of the invention provides a power distribution network control method, a power distribution network control device and electronic equipment. The method comprises the following steps: acquiring ecological data in an ecological region and user data of various types of users in the ecological region; then, based on the ecological data, a region type of the ecological region is determined. And based on the user data and the region type, a composite control strategy is configured for the users in the ecological region. And finally, according to the composite control strategy, controlling operation of electric power facilities in the power distribution network for supplying power to the users and / or electric power resources distributed to the users. The method improves the control accuracy of the power distribution network.

The present application relates to the technical field of water ecological protection and restoration, in particular to a kind of early warning scheduling optimization decision method of water ecological protection and restoration.The present application breaks through the coverage limitation of single fixed monitoring point by fusing the data of fixed water quality monitoring equipment group and mobile water quality monitoring equipment group, realizes the comprehensive perception of water ecological region;At the same time, based on the water quality anomaly total value calculated from the analysis of biological activity, material exchange and pollution form, the accuracy and comprehensiveness of pollution level judgment are greatly improved, and single index misjudgment is avoided;It also accurately determines the traceability priority by quantifying the pollution migration probability of each monitoring direction;Combined with the dynamic monitoring unit control mobile monitoring point verification, the preferred pollution deduction direction and early warning area are quickly locked, the lag of manual investigation is reduced, and efficient closed loop from pollution identification to traceability early warning is realized, which provides accurate decision support for timely blocking pollution and carrying out restoration.

The invention discloses a method and system for evaluating the influence of offshore wind power on the ecological environment, and belongs to the technical field of environment evaluation, and the method comprises the steps: collecting the marine environment data of grid points based on a sensor, and dividing an environment evaluation region into a plurality of ecological regions based on the marine environment data and seabed geological data; the grid points where the sensors are arranged serve as monitoring points, noise data and suspended matter data are collected at the monitoring points, an ecological influence range is determined, overlapping areas of the ecological influence range and all the ecological areas are defined as influence areas, and ecological data of the influence areas are collected; and respectively calculating noise disturbance parameters and suspended matter influence parameters of the influence area, and calculating influence values of the noise disturbance parameters and the suspended matter influence parameters on the ecological data based on a Bayesian network. According to the method, the objectivity and the accuracy of an evaluation result are improved by carrying out quantitative calculation on noise disturbance and suspended matter influence.