41 results about "Environmental change" patented technology

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

The invention relates to the technical field of 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 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 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 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 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 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.

This invention provides a river ecological restoration device, relating to the field of river ecological restoration technology. It includes an aeration disc connected to an air inlet pipe, with a deformable disc and a control disc fitted onto the aeration disc. The deformable disc has multiple air outlets, and the control disc has multiple control pipes corresponding to the air outlets. Multiple elastic plates are evenly spaced within each air outlet, and each elastic plate has a central hole. The control pipes rest on the elastic plates. This river ecological restoration device, through an innovative adjustable aeration system, solves the technical problem of traditional aeration discs being unable to adjust bubble size according to environmental changes. The device employs a combination structure of the deformable disc and control disc, along with the design of the elastic plates and central holes, allowing for precise adjustment of the aeration hole diameter according to actual needs. This design significantly improves oxygen transmission efficiency, enabling the device to adapt to different aquatic environments and water quality conditions.

This invention relates to the field of environmental monitoring technology and discloses a method, device, equipment, medium, and product for early warning of water environment changes. The method includes: acquiring multiple sets of environmental indicators for the area to be monitored; calculating the importance weight of each environmental indicator based on the measurement data of each environmental indicator in each set; calculating health index data for different sets of environmental indicators based on the measurement data of each environmental indicator and the importance weight of each environmental indicator; determining the comprehensive environmental health index of the area to be monitored and the health index intervals corresponding to different health states based on the health index data; and determining the health state of the area to be monitored based on the health index interval to which the comprehensive environmental health index belongs. This invention involves planting plants and collecting environmentally relevant data from the plants for analysis, thereby comprehensively calculating the current environmental health state based on the health index of each set of data.

The present invention discloses a method and system for regulating marine ranch resources. By uniformly scoring and mapping multi-dimensional time series data such as historical catches, species habits and environmental information to a three-dimensional geometric structure, the present invention effectively eliminates the subjective bias of traditional empirical judgment and realizes the quantification and transparency of decision-making; constructs sphere screening and ecological topology maps with standard scores as anchor points, improves the spatiotemporal resolution of marine ranch habitat connectivity and key ecological patches, and provides precise targeting for directed reproduction and release and habitat restoration; further captures the nonlinear interaction between environmental factors and biological communities through a graph convolutional network, and realizes real-time dynamic adjustment of release density and environmental control measures, thereby improving the response speed to sudden environmental changes and reducing the risk of mass mortality, thereby achieving optimal resource utilization, enhanced ecological resilience and increased sustainable catch.

The invention discloses an ecological environment digital intelligent fusion management system based on a GIS, and relates to the field of environment data processing, and the system comprises a data standardization module which is used for carrying out data standardization and data cleaning work on multi-source heterogeneous environment data; the spatial data fusion module is used for labeling the geographic position coordinates of the corresponding point locations and the acquisition moments for the environmental data, and labeling the environmental data on the three-dimensional model according to the geographic position coordinates of the corresponding point locations and the acquisition moments; the time data fusion module is used for predicting and periodically analyzing the environment data according to the preprocessed environment data set; the pollutant diffusion prediction module is used for obtaining a simulation result of the diffusion process of the pollutants in the atmosphere, the water body and the soil; the data visualization module is used for displaying the three-dimensional model of the target area, the predicted environment data, the analysis result and the simulation result through a GIS platform, and the environment change can be comprehensively and accurately reflected.

The present invention relates to the technical field of hydraulic generator regulation, and particularly to a dynamic regulation method and system for a hydraulic generator based on environmental changes, which improves its operating efficiency and stability in complex and variable environments, and at the same time enhances safety and economy; the method includes: continuously obtaining environmental data information of the location where the hydraulic generator is located according to a set acquisition frequency; using a pre-trained key feature extraction model to extract features from the environmental data information collected each time to obtain an environmental key feature vector; performing fluctuation analysis on a plurality of consecutive environmental key feature vectors to obtain an environmental fluctuation index; comparing the environmental fluctuation index with a preset fluctuation threshold; in response to the environmental fluctuation index exceeding the preset fluctuation threshold, inputting the latest obtained environmental key feature vector into a hydraulic generator environmental impact analysis model to obtain a hydraulic generator environmental impact index.

The present application relates to the technical field of environment detection, and relates to a digital aquaculture environment monitoring method and system, wherein the method comprises: continuously collecting underwater images, dissolved oxygen concentration and turbidity, and segmenting the underwater images to obtain water area images; obtaining a plurality of color moments of the water area images, the plurality of color moments comprising a first moment, a second moment and a third moment, and obtaining a plurality of color features of each color moment; constructing a gray level co-occurrence matrix according to the water area images; calculating a risk score; and performing early warning according to the risk score. The present application dynamically reflects the influence of environmental changes by calculating the risk score through standardized weighted summation, thereby improving the adaptability and flexibility of aquaculture environment management.

The invention discloses a home ecological cycle control system integrating environment perception and intelligent purification, relates to the field of home environment regulation and control, and is applied to indoor environment intelligent purification and ecological cycle management. According to the system, various environmental parameters are collected through a multi-dimensional environmental parameter sensing module; the data fusion and feature extraction module carries out data processing and generates an environment quality comprehensive index; the ecological cycle regulation and control module generates an optimal purification scheme and energy consumption optimization scheduling; the intelligent purification execution module realizes multi-aspect regulation and control of air, water and illumination; and the adaptive learning and evolution module optimizes the system performance. Meanwhile, the adaptability to user preferences and environment changes is improved through adaptive learning, and intelligent purification and ecological circulation of the home environment are achieved.

The invention belongs to the technical field of geological environment monitoring, and particularly relates to a geological environment change monitoring device. The invention provides a geological environment change monitoring device, and aims to solve the problems that a geological environment change monitoring device in the prior art is easy to damage in strong wind weather and is small in monitoring range. A geological environment change monitoring device comprises a monitoring sensor and a data acquisition unit, the monitoring sensor is in communication connection with the data acquisition unit, and the data acquisition unit receives data monitored by the monitoring sensor and sends the data to the monitoring sensor. The data collector sends the received data monitored by the monitoring sensor to a monitoring center; by integrating the soil moisture sensor, the ground stress sensor, the underground water sensor and the seismic sensor, comprehensive monitoring of a plurality of key parameters of the geological environment is realized, so that comprehensive data of geological environment change is provided.

The invention relates to the technical field of disinfection control, and discloses a self-adaptive environmental change disinfection system and method.The system comprises a disinfection demand analysis module, a disinfection control module, a disinfection verification module, a re-disinfection module and a disinfection verification module, environmental data is compared with an environmental disinfection threshold value, and a disinfection demand grade is obtained; determining a disinfectant release rate and action time corresponding to the disinfection demand grade to obtain a control instruction; generating disinfection verification data of the space according to the bacteria concentration data and the volatile organic compound concentration data in the space after the disinfection operation is completed; when the disinfection verification data exceeds an environment safety threshold value, feeding back real-time environment data in the disinfection verification data to obtain the fed-back disinfection verification data, and generating a disinfection completion report of the space based on the fed-back disinfection verification data; when the disinfection verification data is in an environment safety threshold, generating a disinfection completion report of the space; according to the invention, the disinfection efficiency can be improved.