43 results about "Ecological resources" patented technology

The invention discloses a fish habitat real-time monitoring system based on Internet of Things. Comprising a data acquisition module used for acquiring fish habitat data, a communication networking module used for transmitting the acquired data, an analysis early warning module used for analyzing the data, a comprehensive management module used for assisting device operation and a propaganda education module used for propagandizing habitat education. Water quality parameters, hydrological parameters, fish activity data and human activity data of a fish habitat are collected, analysis data are generated in an analysis and early warning module, an ecological health index of the fish habitat is calculated, an early warning signal is generated, ecological risks of a fish living environment are predicted, and an ecological health index thermodynamic diagram is generated in a comprehensive management module. And real-time monitoring is completed under cooperation of multiple modules. The fish ecological resource environment is subjected to multi-source collection and analysis through the multi-source sensing technology, the correlation between fish habitat data and fish population distribution is deeply excavated, information of the habitat is accurately grasped, the monitoring accuracy is high, and the risk pre-judgment capability is high.

The invention discloses a vegetation coverage index algorithm and system based on an unmanned aerial vehicle. The algorithm comprises the following steps: S1, data acquisition and multi-source data preprocessing; s2, dynamic environment correction and multi-source data fusion; s3, red edge enhanced vegetation index calculation and terrain correction; s4, vegetation coverage intelligent prediction and precision verification; and S5, result visualization and decision support: generating a vegetation coverage spatial distribution map and a statistical report, and supporting a resource management decision. By integrating the unmanned aerial vehicle, the multispectral imaging sensor, the dynamic environment correction model and the data fusion algorithm, efficient and high-precision technical support is provided for precision agriculture, ecological resource management and disaster monitoring.

The invention belongs to the technical field of ecological system management, and particularly relates to a multi-system collaborative ecological niche segmentation system which comprises an environment sensing system, a data analysis and decision making system, a resource distribution system, a biological regulation and control system and a feedback regulation system. The environment sensing system is used for monitoring ecological environment parameters in real time; the data analysis and decision-making system receives and analyzes data of the environment sensing system and makes an ecological niche segmentation decision; and the resource allocation system allocates the ecological resources according to the decision. The system is reasonable in design, achieves the precise management of organisms and resources in an ecological system through the integration of the environment perception system, the data analysis and decision-making system, the resource distribution system, the biological regulation and control system and the feedback regulation system, promotes different species to reasonably occupy ecological niche, improves the resource utilization efficiency, maintains the ecological balance, and improves the economic benefit. And an innovative solution is provided for ecological protection and sustainable development.

The invention discloses an eel fry fishing gear and a using method thereof, the fishing gear is a double-pile winged single-bag expanding net, the mesh size of a net bag is innovatively limited to be 2.5 mm, and key structure parameters such as the perimeter, the height and the width of a net opening and the length of a netting are optimized. The method comprises four standardized operation steps of piling, net hanging, net hauling and net changing, and special permission and resource monitoring management are fused. According to the method, efficient and selective fishing of eel fry is achieved, the fishing efficiency is remarkably improved, meanwhile, the fishing rate of non-target economic fish larvae is effectively reduced, damage to ecological resources is relieved, and reliable technical support is provided for scientific management and industrial sustainable development of eel fry resources.

The invention provides a grassland community volume estimation method and device, and is applied to the technical field of ecological resource investigation. The method comprises the following steps: acquiring laser radar point cloud data, point cloud scanning angle data and ground quadrat canopy height measurement information of a grassland community; determining canopy height model raster data according to the laser radar point cloud data, determining a grassland community average canopy estimation height according to the canopy height model raster data, and determining an average canopy measurement height according to the ground quadrat canopy height measurement value; performing linear fitting on a difference value between the average canopy estimation height of the grassland community and the average canopy measurement height and the point cloud scanning angle data to obtain an association relationship between the grassland height loss amount and the point cloud scanning angle; and correcting the canopy height model raster data based on the association relationship, and calculating the grassland community volume based on the corrected canopy height model raster data.

The invention relates to a resource utilization ecological evaluation method and system, a storage and a medium, and belongs to the technical field of resource utilization evaluation.Ecological resource data information demanded in a target area is obtained, and the ecological resource data information in the target area is estimated and evaluated based on the ecological resource data information demanded in the target area; according to the method, the ecological bearing capacity estimation result is obtained, resource utilization analysis is carried out according to the ecological bearing capacity estimation result, a resource utilization analysis result is obtained, and finally ecological resource utilization of the target area is dynamically adjusted according to the resource utilization analysis result. According to the method, the ecological bearing capacity condition of the ecological resource data information in the target area is analyzed according to the ecological resource data information required in the target area, so that whether the current ecological system can be self-sufficient or not is evaluated, and resource development is reasonably arranged under the condition that the ecological system is not damaged; and the green idea of an ecological system is considered.

The invention discloses an unmanned aerial vehicle remote sensing image processing method for ecological resource monitoring, and belongs to the technical field of unmanned aerial vehicle remote sensing, and the method comprises the steps: S10, carrying out the image collection of an ecological resource region, obtaining the region area of the ecological resource region before the image collection, and carrying out the image collection based on the region area; acquiring position positioning information of the unmanned aerial vehicle in the image acquisition process; step S20, preprocessing the collected image, wherein the preprocessing comprises image denoising, image enhancement and image splicing; wherein in the image splicing process, splicing is carried out by taking at least two images collected by the unmanned aerial vehicle as a splicing unit, and the two images are the images collected when the unmanned aerial vehicle flies in the same direction. The reliability of ecological resource monitoring is improved, the adaptability to the complex ecological environment and the sensitivity to ecological resource changes are high, and the requirement of modern society for ecological resource monitoring is met.

The invention discloses an urban ecological evaluation method based on dynamic evolution and spatial correlation, and belongs to the technical field of urban ecological performance. The method comprises the following steps: establishing an urban ecological performance index system through a Markov chain and a kernel density estimation method, and dynamically evaluating the urban ecological performance; weighting the urban ecological performance index system through an entropy method; analyzing spatial correlation of urban ecological performance by adopting a global Moran index and Datonian coefficient decomposition method; and combining convergence and a convergence model to evaluate the long-term development trajectory of urban ecological performance. The space-time evolution rule and the space correlation characteristics of the urban ecological performance are disclosed from time and space dimensions, so that the dynamic change state of the city and different cities are linked, the comprehensive performance of the city in the aspects of ecological resource utilization, environmental protection and carbon emission control is comprehensively reflected, the defects of an existing evaluation system are overcome, and the evaluation system is suitable for the urban ecological environment. And the accuracy, comprehensiveness and scientificity of evaluation are improved.

This invention discloses a zoning method and system for realizing the value of natural resource ecological products, belonging to the technical field of natural resource ecological product value realization. The method first uses a zoning model to iteratively rank the ecological function priorities at the landscape scale of the study area, generating a nested landscape sequence. The model output is analyzed to identify potentially important ecological spaces and high- and low-priority areas. Then, the STARS algorithm is used to determine the grading thresholds for important ecological spaces through mutation testing and to classify them. Next, the SOFM algorithm is used to cluster the supply and demand variables of ecological products to identify clusters of supply and demand relationship characteristics. Finally, based on the identification results of these clusters, functionally similar and spatially adjacent clusters are merged, and the identification results of important ecological spaces are superimposed to obtain the ecological product value realization zoning, and zoning realization strategies and paths are proposed. This method realizes the optimal allocation and protection of ecological resources, the precise formulation of management strategies, and the coordinated green development of the region.

The application provides an ecological resource intelligent credible data element model establishment method, including: obtaining natural ecological basic data; obtaining natural ecological derived data, the natural ecological derived data including ecological tourism description metadata and leisure and health care description metadata; respectively performing controlled feature mining on the natural ecological basic data and the natural ecological derived data to generate ecological basic data elements and ecological derived data elements; respectively performing key feature extraction on the ecological basic data elements and the ecological derived data elements to obtain basic ecological key features and derived ecological key features; obtaining green finance data elements, and establishing an association relationship between the green finance data elements and the basic ecological key features and the derived ecological key features to generate an ecological resource credible data element model. The technical scheme in the application at least solves the problem that green finance data elements and ecological resource data lack effective association.

The application discloses a kind of vegetation cover index algorithm and system based on unmanned plane, wherein algorithm includes the following steps: S1, data acquisition and multi-source data preprocessing;S2, dynamic environment correction and multi-source data fusion;S3, red edge enhanced vegetation index calculation and terrain correction;S4, vegetation coverage intelligent prediction and precision verification;S5, result visualization and decision support: generate vegetation coverage spatial distribution map and statistical report, support resource management decision.The application provides efficient, high-precision technical support for precision agriculture, ecological resource management and disaster monitoring by integrating unmanned plane, multispectral imaging sensor, dynamic environment correction model and data fusion algorithm.

The invention discloses a forest ecological product value accounting method based on a remote sensing and geographic information system, relates to the technical field of ecological resource digital management, and aims to solve the technical problems that a traditional accounting method is low in efficiency and insufficient in data precision, and dynamic monitoring and multi-dimensional value comprehensive evaluation are difficult to realize. Comprising the following steps: S1, constructing a space-air-ground acquisition network through a satellite, an unmanned aerial vehicle and a ground sensor, and carrying out intelligent cleaning, registration and standardization preprocessing on multi-modal data; and S2, inverting forest three-dimensional structure parameters by using multi-temporal remote sensing data, and constructing a digital twin model to dynamically simulate the whole-cycle growth process. According to the invention, a space-air-ground integrated monitoring network is constructed, high-frequency and high-precision data is collected in combination with a spatio-temporal data fusion algorithm, individual tree parameters are inversed cooperatively through LiDAR point cloud and hyperspectrum, errors are eliminated through spectral angle mapping, the accounting precision is improved to a sub-meter level, and the problem of spatio-temporal heterogeneity is solved.

The application discloses a kind of based on carbon source-sink and biological process's preferential protection area demarcation method, comprising: obtaining the multi-source remote sensing data of research area, generates the ecological resistance surface of research area;Based on circuit theory extraction ecological corridor and ecological node, construct the static ecological network of source-corridor-node structure;For the spatio-temporal heterogeneity characteristics of ecological source, the supply and demand of carbon fixation service of ecological source are calculated;Carbon fixation service as important ecological resources, according to the characteristics of biological migration from low resource habitat to high resource habitat, compare the supply and demand ratio of carbon fixation service between ecological source, to determine the trend of ecological corridor, calculate the flow radius of ecological source carbon sink supply area, according to flow radius determine the biological flow relationship between ecological source, divide ecological source into carbon source protection area and carbon sink protection area.

The application discloses an ecological economic value evaluation method based on data analysis, and relates to the technical field of value evaluation. When the method is in operation, multi-dimensional data related to an ecological system is collected, ecological resource utilization efficiency data, environmental protection contribution and environmental loss data are obtained, the collected multi-dimensional parameters are preprocessed, and resource utilization benefit coefficient R util , environmental protection contribution coefficient P env , environmental loss coefficient E loss and ecological economic value evaluation index S tjj are calculated. The ecological economic value evaluation index S tjj is compared with a preset first threshold value V and a preset second threshold value B, future development direction and potential risks are evaluated, an ecological economic value evaluation report is automatically generated, and the report content includes: detailed analysis of each coefficient, trend analysis result, ecological economic value evaluation index S tjj and comparison result with the preset threshold value. The report adopts a form combining charts, data and words, and directly displays the evaluation result.

The invention provides an intelligent model construction method for evaluating the ecological value of lake water and application thereof, and relates to the technical field of digital evaluation of ecological resources. The intelligent model construction method based on lake water ecological value evaluation comprises the steps that multi-source ecological data are collected through a multi-platform cooperative sensing system, and the multi-platform cooperative sensing system comprises the steps that a satellite remote sensing system obtains spectral data not less than 10 wave bands, and the spatial resolution is not greater than 10 meters; the unmanned aerial vehicle platform carries a multispectral imager to collect image data of a 200-2500 nanometer wave band; the buoy Internet of Things network distributed on the lake surface collects time sequence data of total phosphorus, total nitrogen, permanganate index and pH value. Through multi-dimensional cooperation of the space-based satellite, the aerial unmanned aerial vehicle and the internet-of-things buoy, wide-coverage, high-precision and real-time collection of water area ecological elements is achieved, the temporal-spatial resolution reaches the industry breakthrough level, the timeliness of treatment measures and the resource release precision are greatly improved, and a standardized implementation normal form is provided for long-acting ecological protection.

The invention discloses a man-made forest and natural forest deep learning classification method based on a satellite-borne laser radar waveform. The method comprises the following steps: step 1, obtaining an L1B geographic positioning waveform of a satellite-borne full-waveform laser radar GEDI of a forest area; 2, carrying out preprocessing operation on the obtained data to obtain waveform information of high-quality GEDI light spots in an area; step 3, performing dimension raising on the waveform, and encoding the one-dimensional waveform into a two-dimensional matrix format as subsequent input; step 4, constructing a convolutional neural network model, firstly extracting local features of the image through a convolutional layer, reinforcing features of important channels through an SE module, then reducing spatial dimensions of an output feature map through a global average pooling layer, then performing global modeling on the features by using an MHA mechanism, and finally outputting a classification result through a full connection layer; and 5, evaluating the classification precision of the artificial forest and the natural forest. According to the method, two forest types can be distinguished, so that a scientific basis is provided for forest management and ecological resource monitoring.

The invention relates to the technical field of marine ecological environment monitoring, in particular to a sky-land-sea integrated marine environment monitoring network construction method. Comprising the following steps: comprehensively acquiring multi-dimensional marine environment elements through a multi-level collaborative sensing network consisting of satellite remote sensing, a low-altitude unmanned aerial vehicle, a marine buoy and a shore-based automatic monitoring station; constructing a unified data access and processing platform, integrating and fusing multi-source monitoring data of the sky, the air, the ground and the sea, and performing standardization processing; a flexible data query service is provided through a GraphQL interface, multi-dimensional retrieval according to a space-time range and a parameter type is supported, a multi-modal artificial intelligence analysis model is integrated, and intelligent recognition, generation and prediction capabilities are provided; by means of the mode, comprehensive, multi-element and high-frequency monitoring on the ecological environment of the watershed, the estuary and the bay is achieved, and the change situation of the marine ecological environment and the distribution, number and quality situation of ecological resources can be known.

The application discloses a kind of based on water temperature regulation and control's supplementary fish-passing facility lure fish system and method, lure fish system includes water source acquisition unit, water delivery unit, water temperature regulation and control unit and temperature effect field monitoring unit;A kind of based on water temperature regulation and control's supplementary fish-passing facility lure fish method includes the following steps: S1, reconnaissance and design;S2, pipeline layout;S3, system commissioning;S4, mode debugging;S5, operation and maintenance.The application systematically proposes the inherent unit cooling water of hydropower station as ecological regulation medium, without additional consumption of a large amount of energy to manufacture lure fish signal, realizes the cyclic efficient utilization of in-plant resources.Using existing water source and plant infrastructure, the purchase and installation of expensive special equipment are avoided.The application converts the unit cooling outflow, originally discharged as "waste heat", into a controllable "ecological resource", realizes the dynamic integration of "fish driving" and "fish luring" dual functions.

The application discloses a kind of ecological resource utilization efficiency measurement method based on combination of planting and breeding, and the technical scheme directly obtains remote sensing image, without other complex operations, can be aimed at remote sensing image and the situation of plants and animals on planting and breeding area is identified, and the consumption and production of plants and animals on planting and breeding area are calculated respectively;Combined with the proportion of different types of plants and animals on the soil area, considering the influence of animals on the green plants in the area for consumption and reducing consumption, and the distance between each soil area is too far, animals do not cross regional activities and cause animals to produce manure as fertilizer for the green plants in the area and bring the influence on plant consumption, animal consumption, animal production, plant production and plant consumption can be accurately calculated, so as to obtain the ecological resource utilization efficiency of combination of planting and breeding in super large area captive breeding area, and provide strong data support for subsequent improvement of ecological resource utilization efficiency.

This invention provides a SED ecological descaling system for thin-gauge steel plates, designing a steel plate descaling technology field. High-pressure water and abrasive are mixed inside the descaling nozzle to form a high-pressure abrasive jet, which then impacts the steel strip surface. Relying on the impact grinding of the abrasive and the water wedge effect of the high-pressure water, the oxide scale and rust on the steel plate surface are removed. The continuous arrangement of four descaling units allows for full-width descaling coverage of the steel plate as it is conveyed, and the system is finished by a rinsing unit to improve the overall descaling effect. The wastewater and waste sand generated during descaling can be recycled and reused through a sand sorting and recovery system, a water circulation system, and a sand circulation system. This achieves graded recovery and recycling of the abrasive, and sedimentation, filtration, and reuse of the wastewater, significantly improving the abrasive recovery rate and wastewater reuse rate, realizing an ecological resource recycling descaling effect.

The application relates to the field of ecological resource development evaluation, and in particular to an ecological resource asset development and operation evaluation method and system based on deep learning. The method comprises the following steps: acquiring operation and environment perception data sets of mulberry base fish ponds, based on which, modern influence behavior analysis and cyclic conduction precursor signal capture are performed to generate a risk disturbance quantification information set; based on this, through deep time sequence causal inference, the correlation modeling of operation behavior and cyclic chain resilience attenuation is performed to generate a cyclic resilience attenuation trajectory information set capable of quantifying delay influence and identifying implicit inflection points; based on this, the cyclic chain resilience dynamic evaluation and implicit inflection point early warning of the mulberry base fish pond are performed to generate and output a mulberry base fish pond operation health degree evaluation report. In the ecological resource asset development and operation evaluation process, the application can prospectively identify the implicit inflection point of ecological deterioration, greatly improving the accuracy, forward-looking nature and sustainability of ecological asset operation.

The invention relates to the field of ecological resource monitoring, in particular to a forest change driving factor recognition method and system based on machine learning, and the method comprises the steps: collecting target forest ecological data, inputting the forest ecological data subjected to structured processing into a pre-constructed linear fusion model to obtain a response variable, and then, carrying out the recognition of the forest change driving factor. And inputting the response variables and the target forest ecological data subjected to the structured processing into a pre-constructed nonlinear decision model to obtain a Grain value of each influence variable, finally sorting the influence variables according to the Grain values, and performing recognition according to a sorting sequence result to obtain a key driving factor. Compared with the prior art, the method solves the technical problem that an existing forest change driving mechanism is low in recognition accuracy and applicability.

The invention relates to the technical field of ecological values, and discloses an intelligent adaptation method and system for an ecological product value implementation path, and the method comprises the steps: normalizing multivariate heterogeneous ecological data of a target region, obtaining an ecological resource feature list, and obtaining a priori case set, so as to construct a multivariate mapping map; retrieving an adaptive potential value implementation path, and generating a feasibility evaluation report and an evaluation benchmark through constraint deduction; integrating and constructing an ecological asset contract framework and starting implementation monitoring; performing comparative analysis on feedback data monitored in the implementation process, a market environment signal of the target area and an evaluation criterion, and according to an analysis result, updating a multivariate mapping map and an ecological asset contract framework to generate a target adaptation scheme; according to the invention, the intelligent adaptation efficiency of the ecological product value realization path can be improved.

The present application relates to a kind of resource utilization ecological evaluation method, system and storage and medium, belong to resource utilization evaluation technical field, the present application is by obtaining the ecological resource data information of demand in target area, based on the ecological resource data information of demand in target area, the ecological resource data information in target area is estimated and evaluated, obtains ecological carrying capacity estimation result, to carry out resource utilization analysis according to ecological carrying capacity estimation result, obtains resource utilization analysis result, finally, according to resource utilization analysis result, the ecological resource utilization of target area is dynamically adjusted.The present application is by according to the ecological resource data information of demand in target area, the ecological resource data information in target area is analyzed to carry out ecological carrying capacity situation, to assess whether current ecological system can be self-sufficient, in the case where not destroying ecological system, the development of reasonable arrangement resource, the green concept of ecological system is taken into account.

1. Name of the product in this design: Multidimensional Exploration Satellite. 2. Purpose of this design: A satellite for comprehensive monitoring and research of various aspects of land and air environment, ecology, and resources. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The utility model discloses a skid-mounted sewage treatment device driven by green energy, which belongs to the technical field of sewage treatment.The skid-mounted sewage treatment device driven by the green energy comprises a mounting box, a plurality of hinges are fixedly connected to the front end of the mounting box, mounting columns are fixedly connected to the tops of a plurality of connecting discs, and the mounting columns are fixedly connected to the front end of the mounting box. According to the solar power generation device, by arranging the solar power generation assemblies, pollutants brought by traditional energy power generation cannot be generated in the solar power generation process, then harmful substances cannot be discharged into the atmosphere, the quality of air around the device can be effectively protected, and the service life of the device is prolonged. By arranging the sewage treatment assembly, pollution of sewage to rural surrounding water and soil is avoided, balance and stability of a rural ecological system are maintained, and ecological resources such as habitats of aquatic organisms, fertility of soil and the like are protected.

The utility model discloses an ecological resource remote sensing monitoring device, which belongs to the technical field of ecological resource remote sensing monitoring equipment and specifically comprises a stand column, a remote sensing assembly, a monitoring unit, a lantern ring assembly and a plurality of traction anchor rods. Anchoring piles are assembled at the bottoms of the stand columns in a threaded mode, and the stand columns are directly inserted into the ground through the anchoring piles. The remote sensing assembly is installed in a power bin installed at the bottom of the stand column. The monitoring unit is mounted at the top of the column; the lantern ring assembly slidably sleeves the outer side of the stand column. The traction anchor rods are hinged to the outer side of the lantern ring assembly. According to the remote sensing monitoring device, the single stand column is adopted as a main supporting structure, the anchoring piles at the bottom are designed, and the traction anchor rods capable of being adjusted in length and in all directions are matched for auxiliary positioning and supporting, so that when the remote sensing monitoring device is installed, the installation posture can be flexibly adjusted according to the site actual situation of coordinate points; the installation time of the remote sensing monitoring device is effectively shortened, and time and labor are saved.

The application relates to the technical field of ecological resource treatment, in particular to a fresh water and organic matter ecological resource treatment process and a desert treatment method, which comprises the following steps: step 1, constructing a sewage backtracking pipe network; step 2, ecological resource backtracking, in the sewage backtracking pipe network, biological strains are inoculated to carry out sewage ecological resource treatment; and step 3, ecological resource utilization, the sewage backtracking pipe network further comprises a plurality of resource branch networks located at the terminal section of the sewage trunk network, and the resource branch networks can use the treated ecological resources for desert treatment; through the construction of the sewage backtracking pipe network and the inoculation of specific biological strains, the application realizes the ecological resource treatment of sewage, which not only purifies the sewage, but also recycles the treated fresh water and biological resources; the application promotes the circular economy, changes the sewage into resources that can be used for desert treatment, and reduces the negative influence on the ecological system and resource waste in the traditional sewage treatment process.

The application discloses a kind of sanatorium medical natural resource intelligent safety protection system, including site selection evaluation module, environmental monitoring module, big data intelligent safety management module, AI intelligent comment management module, natural recuperation factor use specification module and supervision improvement module.Environmental monitoring module real-time acquisition air quality, water quality, noise, negative oxygen ion and the like data, through 5G network upload to big data platform.Big data intelligent safety management module realizes ecological risk early warning, recuperation personnel flow regulation and resource development optimization;AI intelligent comment management module analyzes annual receiving sanatorium number per unit area through natural language processing, generates ecological protection improvement scheme and provides intelligent guidance.The application realizes the upgrade from passive service to active intelligent protection, improves the precision and efficiency of natural ecological resource protection of sanatorium medical, and promotes the sustainable use of recuperation resources.