53 results about "Environmental change" patented technology

The invention relates to the technical field of environmental impact assessment, in particular to an intelligent environmental impact assessment method and system, and the method comprises the following steps: collecting environmental data including pollutant discharge, water resource consumption, air quality change and biodiversity, building an impact factor data set, and segmenting the data set to obtain an impact factor data set; and calling a kernel function type to carry out numerical prediction on pollutant emission. According to the method, by integrating data processing and machine learning technologies, the accuracy and efficiency of environmental impact assessment are improved, numerical prediction is performed on environmental data by using a kernel function and a support vector regression model, the adaptability and precision of a prediction model are enhanced, model parameters are optimized through automatic population generation and crossover mutation operation, and the accuracy and efficiency of environmental impact assessment are improved. The model can better learn and adapt in a complex data environment, sensitivity and response speed to environmental changes are further improved through dynamic clustering analysis and time sequence adjustment, and scientific support is provided for formulating timely and effective environmental protection measures.

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 present disclosure describes, in part, compositions and methods for safeguarding plant immunity to pathogens in response to environmental changes.

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 relates to the technical field of wetland ecological restoration. The invention discloses a wetland carbon sink capacity improving method and system based on intelligent regulation and ecological restoration, and the method comprises the steps: laying a multi-parameter sensing network, and monitoring the water level, vegetation growth and soil wetland carbon reserve parameters in real time; obtaining a vegetation NDVI index and surface temperature data, and analyzing the vegetation NDVI index and the surface temperature data to obtain an ecological restoration strategy; according to an ecological restoration strategy, carbon sink dominant plants are combined, and emergent aquatic plants, submerged plants and floating-leaved plants are matched; strengthening the microorganisms, and inoculating a carbon sequestration fungicide; establishing a carbon sink-environmental parameter response model according to the historical intelligent regulation and control data; and inputting the ecological restoration strategy into the carbon sink-environmental parameter response model for analysis, and adjusting ecological restoration data according to an analysis result of the carbon sink-environmental parameter response model. According to the invention, intelligent response to environment change is realized, and the carbon sink efficiency is dynamically optimized.

The invention relates to the technical field of ecological environment management, and provides a multi-scale ecological environment damage assessment model construction and optimization management system, which comprises a multi-scale data acquisition module used for acquiring various basic data related to an ecological environment under different space, time and other scales; the parameter calibration and analysis module is used for verifying and adjusting parameters required by model calculation and evaluation according to the acquired data to ensure that the parameters are adaptive to the actual ecological environment condition; and the scene simulation calibration module is used for setting different ecological environment change scenes, simulating the development process of the different ecological environment change scenes, calibrating simulation logic in combination with the actual situation, and providing a simulation scene for analyzing the ecological environment damage trend and testing the management strategy effect. Through a multi-scale scene simulation and calibration mechanism, the system can accurately simulate ecological damage trends under different environment change scenes, and a reliable simulation scene is provided for testing a management strategy effect.

The invention discloses a marine sand excavation monitoring system and method which are used for solving the problems that an existing marine sand excavation monitoring system is insufficient in monitoring precision and insufficient in environmental change early warning. Comprising a monitoring acquisition module, an environment monitoring analysis module, a precision monitoring analysis module and an execution module. According to the method, environmental factors and the precision of sand excavation equipment are monitored and analyzed in real time, the influence of sand excavation activities on the environment is effectively evaluated, the environmental quality influence coefficient and the environmental state influence coefficient are calculated, adjustment is conducted in combination with dynamic environmental data, environmental changes are found in time, and the negative influence of sand excavation on the ecological environment is reduced; the precision deviation of the equipment is automatically analyzed through a precision monitoring and correction module, and dynamic correction is performed according to a correlation analysis result, so that the equipment always runs in a high-precision range; the accurate control mode optimizes the sand excavation process, improves the sand excavation efficiency and the resource utilization rate, and meanwhile reduces operation errors and environment disturbance.

The invention discloses a slope vegetation restoration system and a restoration method thereof, and relates to the field of slope vegetation restoration. Microenvironment data are obtained, timed collection of microenvironment data and abnormal threshold values is set, slope vegetation type data are obtained, parameterization and standardization processing are carried out, and a demand matching state report is generated; s200, performing regional growth environment setting based on the demand matching state report obtained in the S200, setting a feedback mechanism based on the setting of the growth environment in the S300, regulating and controlling setting operation based on the feedback mechanism, generating a feedback regulation and control report, and performing dynamic regulation and control based on the growth demand parameters of the plants by collecting microenvironment data in real time. The slope area can better adapt to environmental changes, temperature, humidity and illumination conditions are accurately adjusted by utilizing a feedback mechanism and demand matching analysis, so that a continuous and suitable growth environment is provided for vegetation in different growth stages, and meanwhile, support is provided for long-term stable recovery of the slope vegetation through regular restoration effect evaluation and datamation recording.

The invention relates to the technical field of environment monitoring, in particular to an environment monitoring system based on big data, which comprises a data acquisition module used for collecting current environment data from various sensors; the data preprocessing module is used for correcting and compensating the environmental data collected by the sensor under the extreme temperature condition; the data analysis module is used for analyzing the preprocessed environment data by adopting an environment prediction model and predicting an environment change trend; and the influence evaluation module is used for evaluating the influence degree of environmental change on the ecological system by utilizing a simulation technology. According to the method, the complex interaction among a plurality of related environmental parameters can be comprehensively analyzed and predicted, so that the multi-dimensional characteristics of the environmental change are comprehensively captured, and the multivariable time sequence analysis method not only enhances the understanding of the overall trend of the environmental change, but also can reveal the internal relation among different environmental parameters.

The invention relates to an ecological environment dynamic monitoring method and system based on a remote sensing and geographic information system, and the method comprises the steps: carrying out the preprocessing of optical remote sensing image data and SAR radar data of a to-be-detected region, recognizing the change regions of the to-be-detected region at a current moment and a previous moment, and obtaining a target change region; extracting all environment monitoring information of the target change area at the current moment and the previous moment, and environment policy information related to the target change area; performing text analysis on the environmental policy information by using a natural language processing technology, and extracting a management and control area corresponding to the environmental policy information; according to all the environment monitoring information of the management and control area at the current moment and the previous moment, identifying an environment change area in the management and control area; performing position matching on the control area and the target change area to obtain a matching area, and extracting all environment monitoring station information of the matching area between the current moment and the previous moment; and splicing all environment monitoring station information of the target change area, the management and control area, the environment change area and the matching area between the current moment and the previous moment, generating a to-be-detected sequence, inputting the to-be-detected sequence into the AI large model for prediction, obtaining whether the environment of the to-be-detected area is abnormal or not, and if yes, performing early warning.

The invention belongs to the technical field of ecological environment monitoring, and provides an ecological environment and environmental pollution monitoring system, which comprises a multifunctional sensing array; an intelligent analysis platform; a remote monitoring and early warning system; an adaptive energy management system; a public participation module; according to the system, a multifunctional sensing array, an intelligent analysis platform, a remote monitoring and early warning system, a self-adaptive energy management system and a public participation module are integrated; real-time high-precision monitoring of multi-dimensional environmental parameters, automatic identification and early warning of environmental pollution events, accurate prediction of environmental change trends, timely evaluation of ecological system health conditions, automatic adjustment of energy supply and promotion of public participation in environmental protection activities are realized; the efficiency and accuracy of ecological environment monitoring are remarkably improved, making and implementation of environment protection decisions are effectively supported, meanwhile, the environmental awareness of the public is enhanced, and public participation of environment protection is promoted.

The invention relates to the technical field of ecology, in particular to an ecological evaluation method based on community specific species, which comprises the following steps: S1, evaluating phytoplankton ecological indexes by selecting an evaluation criterion, and standardizing the phytoplankton ecological indexes; s2, on the basis of the ecological index SEI of the phytoplankton, determining the change amplitude grade of the ecological condition of the phytoplankton; and S3, establishing a standard for grading the ecological indexes of the phytoplankton on the basis of verification and analysis of historical monitoring data. The phytoplankton has high sensitivity to environmental change, the change of the community structure and number of the phytoplankton can quickly reflect the change of the water body environment, the water body pollution problem can be found in time by regularly monitoring the change condition of the phytoplankton, early warning can be given out, and the ecological evaluation method based on the phytoplankton is provided for related departments. The health condition of the water ecosystem can be comprehensively and systematically evaluated, and a scientific basis is provided for protection and management of water resources.

The invention relates to a water source pollutant treatment method and device and computer equipment. The method comprises the following steps: acquiring environmental condition information of a water source location and sample detection data information of a water source sample, and identifying environmental change characteristics of various environmental types of the water source location based on the environmental condition information; the method comprises the following steps: identifying pollutant data distribution information of various peculiar smell pollutant types of a water source based on sample detection data information of a water source sample, and predicting the peculiar smell pollutants of the water source through a water source pollutant prediction network based on environment change characteristics of various environment types and the pollutant data distribution information of various peculiar smell pollutant types. Predicting predicted pollutant data distribution information of various odor pollutant types of the water source; and based on the predicted pollutant data distribution information of each peculiar smell pollutant type, generating a pollutant treatment scheme of each peculiar smell pollutant type through a pollutant treatment network. By adopting the method, the foreign matter treatment effect on the polluted water source can be improved.

The invention relates to the technical field of water conservancy facilities, and provides a water conservancy facility environment abnormal interference error correction method and device, and the method comprises the steps: constructing an environment error correlation model corresponding to each measurement unit of a water conservancy facility; acquiring environmental data information of the surrounding environment of the water conservancy facility and measurement information of the water conservancy facility in real time; for each real-time measurement value of the measurement information, determining environment interference data information of the real-time measurement value in the environment data information based on environment correlation factor information of the real-time measurement value, and inputting the environment interference data information into an environment error correlation model corresponding to the real-time measurement value, and obtaining a real-time measurement error of the real-time measurement value, and carrying out real-time correction on the real-time measurement value based on the real-time measurement error. According to the method, the monitoring data can be effectively corrected when the water conservancy facilities face complex and dynamic environment changes.

The invention discloses an agricultural environment monitoring method and system based on the Internet of Things, and relates to the field of agriculture, and the method comprises the steps: obtaining target environment parameters of a target region, the target environment parameters comprising a temperature parameter, a humidity parameter, an illumination parameter, an air quality parameter and a soil moisture parameter; calculating an environment change rate according to the target environment parameter, wherein the environment change rate is a ratio of an absolute value of a difference value between environment parameters at a current moment and an environment parameter at a previous moment to a time interval between the two moments; analyzing a historical target environment parameter set of the target area to carry out environment change prediction, and generating a first threshold value and a second threshold value of an environment change rate; and adjusting the collection frequency of the environmental parameters of the target area in combination with the first threshold value, the second threshold value and the environmental change rate. According to the invention, the problems of high energy consumption, data redundancy or untimely monitoring caused by fixed acquisition frequency in the prior art are solved.

The invention relates to the field of data processing, in particular to an ecological environment monitoring data processing method. The method comprises the steps of collecting ecological environment monitoring data in real time, performing fusion processing, and purifying a fused signal through convolution operation to obtain a purified signal; performing signal reconstruction based on the purified signal; dynamically adjusting the adaptability weight of the sensor based on the ecological environment monitoring data and the reconstruction signal; and based on the adaptive weight and the reconstruction signal of the sensor, constructing a space-time model to obtain a space-time modeling result, and predicting a future ecological environment state. The problems that a traditional ecological environment monitoring data processing method lacks effective purification processing on signals, and environment monitoring data is obviously interfered by the outside are solved; the adaptability of the sensor is neglected, so that errors of some sensors are excessively amplified or reduced; the problems of low prediction precision, slow response speed and incapability of effectively coping with complex environmental changes due to the fact that the comprehensive influence of spatial and temporal changes is not considered in the prior art are solved.

The invention discloses a river ecological water demand multi-scale dynamic evaluation method considering environmental changes. Comprising the following steps: acquiring historical runoff data of a target river reach, and taking a sequence minimum value as low water runoff of the period; periodically identifying the low water runoff time sequence, performing correlation analysis, drawing a periodic diagram, selecting three periods with the highest correlation as main periods, and constructing a time periodic function; constructing a candidate model and estimating parameters; selecting an optimal model to calculate the dynamic ecological flow, and calculating the traditional ecological flow based on a time-invariant model; performing high-low judgment on the investigation period to obtain a high-low criterion, and combining the high-low criterion, the dynamic ecological flow and the traditional ecological flow to generate a recommendation threshold value; and respectively executing each step on a plurality of scales of year, season and month, and outputting a recommendation threshold value of the corresponding scale. A dynamic model is combined with a traditional fixed value to generate a recommendation threshold value, so that the scientific frontier of the method is ensured, and the feasibility and robustness of management decision are enhanced.

The invention discloses a land degradation management system and method based on ecological agriculture, relates to the technical field of land management, lays a foundation for subsequent realization of ecological restoration by performing regional division on a target drainage basin, analyzes to obtain degradation types of each region of the target drainage basin, and obtains restoration combinations of each crop at the same time. Then the degradation type of each region of the target drainage basin is matched with each crop restoration combination, so that the crop restoration combination of each region of the target drainage basin is obtained to solve the problem of land degradation in a targeted manner, the restoration efficiency and restoration effect of each region of the target drainage basin are improved, agricultural development of each region of the target drainage basin is ensured, and the economic benefit is increased. And finally, in the remediation process, monitoring each region of the target drainage basin, and then adjusting the crop remediation combination of each region of the target drainage basin, so that the remediation work adapts to the environmental change, and the completeness and rationality of the land degradation management system are ensured.

The invention discloses a glacier melt water resource cooperative regulation and ecological restoration system and method, and belongs to the technical field of water conservancy projects and ecological restoration. The system comprises a distributed dynamic sensing network used for acquiring multi-source environment data in a drainage basin; the multi-agent collaborative decision-making module is used for carrying out collaborative decision-making by utilizing a deep reinforcement learning agent, carrying out global multi-objective optimization through a central coordinator and generating a collaborative regulation and control instruction; the self-adaptive execution and feedback adjustment module is used for executing the instruction and collecting feedback data; and the system self-evolution learning module continuously optimizes the decision strategy based on experience playback and offline training. According to the method, intelligent coordinated regulation and dynamic optimization of glacier melt water diversion, groundwater recharge and vegetation irrigation are realized; the water resource utilization efficiency, the recharge precision and the vegetation recovery effect are effectively improved, and the system has the adaptation and evolution capacity for coping with environmental changes.

The invention discloses a natural wetland restoration method and system based on plant community adaptability adjustment, and aims to improve the wetland restoration effect through optimization adjustment of a plant community structure. The method comprises the following steps: acquiring baseline data (such as geographical environment, plant community, hydrological condition and pollution condition) of a target natural wetland, and constructing a physical model based on the data; environment change simulation is carried out, the adaptability of plant communities is evaluated, and ecological function indexes are determined; adjusting a plant community structure according to an evaluation result, and formulating an adjustment scheme; wetland restoration is implemented, and a monitoring system is established; and obtaining a restoration effect in real time through a monitoring system, and optimizing a plant community structure adjustment scheme. According to the method, adaptability evaluation and monitoring feedback are combined, the ecological function of the wetland can be continuously improved, and the method is widely suitable for restoration and ecological restoration of the natural wetland and has high application value.

The invention discloses a runoff change attribution analysis method based on a Boudike framework, and belongs to the technical field of hydrology, water resource and environment change analysis. The runoff change attribution analysis method comprises the following steps: obtaining annual scale hydrology sequences of a target drainage basin in a reference period and a change period; based on the annual scale hydrological sequences of the reference period and the change period, combining a Bedike equation, and adopting a decomposition method or an elastic coefficient method to quantitatively separate the total runoff variation of the target drainage basin into runoff variation caused by climate change and runoff variation caused by human activity; calculating the contribution rate of the climatic change and the human activity to the total runoff change of the target drainage basin based on the runoff change caused by the climatic change and the runoff change caused by the human activity, and taking the contribution rate as a runoff change attribution analysis result; wherein the Buddy equation is used for describing the physical relationship among the actual evapotranspiration, the precipitation and the potential evapotranspiration of the target drainage basin. The method has both physical mechanism clarity and calculation efficiency, and can effectively reduce parameter calibration complexity and data dependence.

The utility model provides a reinforced wooden member which comprises a shape fixing cloth, and the shape fixing cloth is wound on a round wooden member of an ancient building. The round wood component is wound and reinforced through the shape fixing cloth, the transverse strength of the component is effectively improved, the wood deformation and cracking phenomena caused by environmental changes are remarkably reduced, the original style and appearance of an ancient building are kept, and the service life of the ancient building is prolonged.

The invention discloses a road domain scale traffic infrastructure ecological benefit improvement quantitative evaluation method, and belongs to the crossing field of traffic engineering and ecological informatics. According to the method, acquisition of ecological environment changes before and after road construction is taken as a research object, and multi-source ecological environment data such as vegetation, soil, weather, habitat quality and landscape pattern of a road influence area and a contrast area are acquired; an integrated evaluation index system is constructed from three dimensions of a land resource occupation reduction rate, an ecological function improvement rate and a landscape pattern optimization rate; by comparing a traditional construction scene with an ecological optimization road scene, the net ecological effect improvement amount generated by ecological engineering measures is quantitatively calculated. The method overcomes the defects that an existing evaluation method neglects positive benefits, is extensive in scale and is single in index, achieves the precise, quantitative and integrated benefit evaluation of the whole process of linear traffic engineering such as roads and railways from source avoidance to function improvement, and provides core technical support for ecological design and decision making.

An information providing system (1) comprises: a supporter device (50) that is used by a supporter that supports a user; and an information providing device (10) that is communicably connected to the supporter device (50). The information providing device (10) acquires environmental change information pertaining to a change in the environment around the user, and outputs, to the supporter device, support information for supporting the user on the basis of the environmental change information.

1. Name of the product in this design: Millimeter-wave cooperative infrared detector. 2. Purpose of this design: To monitor the activity, health status, and environmental changes of rare poultry in order to improve breeding efficiency and safety. 3. The key design features of this product are its overall shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

According to the artificial intelligence-based geological environment monitoring method and system provided by the invention, the structure change element knowledge field set in the ecological balance damage element knowledge field set corresponds to the environment change element knowledge field; characters in the ecological balance destruction element knowledge field set correspond to limiting conditions between adjacent environment change element knowledge fields; calling a knowledge field extraction layer to convert the ecological balance destruction element knowledge field set into regional environment anomaly information of an environment anomaly knowledge field set based on geological environment description information corresponding to the structure change element knowledge field set; and calling a mining layer to convert the regional environment anomaly information into an environment anomaly knowledge field set of a second environment condition description type, and processing the environment anomaly knowledge field set of the second environment condition description type according to a geological environment monitoring model to obtain a geological environment monitoring result. Therefore, the accuracy and reliability of geological environment detection are improved.

The present invention relates to the field of ecological data analysis technology, and in particular to a method for evaluating the ecological restoration effect of a slope of a pumped-storage power station, comprising: monitoring the ecological restoration area of ​​the slope of a pumped-storage power station; calculating a restoration state characterization value in the dry season; calculating a restoration state characterization value in the frozen season; calculating a restoration state characterization value in the rainy season; outputting corresponding restoration effect evaluation prompts according to each restoration level; and revising a preset evaluation duration. The present invention ensures the accuracy and adaptability of the evaluation results through real-time monitoring and dynamic weight adjustment, and is capable of responding to environmental changes in a timely manner. By comprehensively considering a variety of environmental parameters, it provides a comprehensive ecological restoration status analysis, clearly distinguishes different restoration levels through the evaluation results, and provides clear guidance for taking targeted restoration measures, effectively solving the problem of inaccurate restoration effect evaluation caused by the inability to adjust ecological restoration measures in a timely manner due to insufficient adaptability to extreme climatic conditions.

The invention relates to the field of marine ecological environment monitoring, and discloses a marine ecological environment monitoring method based on in-situ monitoring data, and the method comprises the following steps: S1, dividing a target monitoring region into a plurality of unit monitoring regions; s2, arranging an in-situ monitoring unit on the mounting platform; s3, acquiring position information data of the in-situ monitoring unit and the mounting platform; s4, collecting volume data information of the in-situ monitoring unit regularly; s5, analyzing the position information data and the volume data information to judge whether the in-situ monitoring unit is abnormal or not, and if yes, performing maintenance; s6, acquiring real-time ecological environment data in the unit monitoring area; (S7); acquiring historical ecological environment data; and S8, analyzing the real-time ecological environment data and the historical ecological environment data to understand the marine ecological environment change in the target area, and improving the accuracy of the data source.

The invention discloses an induction temperature control adjusting device based on environmental changes, and belongs to the technical field of petrochemical engineering. The device comprises a partition environment induction and execution subsystem, a core controller, a main temperature control system and a main coordinator. The outer surface of a petrochemical container is divided into a plurality of independent control areas, and each area is provided with an environment sensing unit integrated with a miniature anemometer, a sunlight sensor and a surface temperature sensor, and execution mechanisms such as an automatic wind shield and an electric tracing band, so that real-time monitoring of microenvironment parameters is realized. The core controller is internally provided with a transient heat conduction model and can predict material temperature changes and generate control signals, and the partition executing mechanism is driven to conduct pre-compensation on environment thermal disturbance. And the main coordinator coordinates the operation of the main temperature control system according to the material temperature. The problems that a traditional temperature control system is lagged in response and uneven in control are solved, and accurate temperature control, energy conservation, consumption reduction and equipment safety protection are achieved.