65 results about "Environmental quality" patented technology

The invention relates to the technical field of environment monitoring, in particular to an intelligent acquisition method based on environment monitoring data fusion, which comprises the following steps: S1, constructing a multi-sensor distributed monitoring network, and acquiring atmosphere, water quality, soil and meteorological environment data; s2, performing data preprocessing, including smoothing, anomaly detection, interpolation and time alignment; s3, carrying out data source, feature and decision three-level fusion, and outputting an environment quality level; s4, constructing a quality index system, monitoring data quality and adaptively optimizing fusion parameters when the data quality is abnormal; s5, performing environment trend prediction and pollution tracing based on a fusion result, and generating early warning information; and S6, constructing a cross-modal causal diagram, reasoning a multi-source causal path, and identifying pollution key factors and source responsibility subjects. According to the invention, through multi-source environment data fusion and cross-modal causal reasoning, high-precision early warning of environment abnormity and intelligent traceability identification of pollution sources are realized.

The invention discloses a cross-medium composite ecological environment problem identification and diagnosis technology system construction method, which comprises the following steps of S1, preprocessing cross-medium multi-source heterogeneous basic data, and constructing to obtain a multi-source heterogeneous data set; s2, constructing a multi-medium environment quality and driving factor index library based on the multi-source heterogeneous data set; s3, single-medium factor-quality response relation models of the atmosphere, the water body, the soil and the solid waste are constructed respectively, and key driving factors for single-medium quality indexes are identified; s4, constructing a cross-medium response network according to the same environment quality index or the key driving factor index, performing driving factor contribution rate analysis, and identifying and diagnosing a cross-medium ecological environment problem; s5, verifying the accuracy of the ecological environment problem identification and diagnosis; according to the method, differentiated single-medium traceability technology islands of different scales and different fields are broken through, and the cross-medium composite ecological environment problem can be effectively identified and diagnosed.

The invention relates to the technical field of environmental protection and monitoring, and discloses an arid region oasis water environment ecological safety early warning method, which comprises the following steps: step 1, constructing a sky-air-land-water three-dimensional monitoring network, the monitoring network comprises a satellite remote sensing monitoring subsystem, an unmanned aerial vehicle remote sensing monitoring subsystem, a ground sensor monitoring subsystem and an underwater monitoring subsystem, and the monitoring network is used for acquiring multi-scale and multi-element water environment ecological data; step 2, establishing an ecological safety evaluation index system of the oasis water environment in the arid region, the evaluation system including four first-level indexes of hydrology and water resource dimension, water environment quality dimension, ecological health dimension and social economy dimension, and setting a plurality of quantifiable second-level indexes under each first-level index. A combined prediction model in which a Markov chain and a long-short-term memory neural network are coupled is adopted, and a system dynamics scene simulation method is combined, so that the perspectiveness and scene adaptability of the early warning method are effectively enhanced.

The application discloses a water quality and soil detection and analysis method and system based on multi-standard automatic evaluation and belongs to the technical field of environmental monitoring data processing. The system comprises a data import module, an intelligent identification module, a batch sample processing module, a multi-standard evaluation module, a comprehensive analysis module, a water chemistry verification module and a result output module. The system automatically analyzes the Excel table structure through an intelligent identification algorithm, extracts index names, units, detection results and background values, supports batch sample format identification, can analyze multiple samples at a time, integrates three environmental quality standards of underground water GB / T 14848-2017, surface water GB 3838-2002 and soil GB 36600-2018, automatically performs quality classification evaluation, calculates single pollution index P i , exceeding multiple, Nemerow comprehensive pollution index P N , performs water chemistry anion and cation balance verification, Shukarev classification, TDS and hardness checking, and supports single sample and batch sample export and summary table generation. The application solves the problems of weak Excel data recognition ability, batch sample processing difficulty, lack of multi-standard automatic switching, single comprehensive evaluation method and insufficient data quality checking in the prior art, and greatly improves the efficiency and accuracy of detection data analysis.

This invention belongs to the field of coastal engineering and ecological restoration technology. It discloses a method for optimizing the design of beach ecological restoration trenches based on hydrodynamic simulation. The method includes: collecting beach hydrological datasets, topographic datasets, and ecological datasets, and preprocessing them. The hydrological dataset includes wave data, tidal current data, storm surge data, and sediment transport data. The topographic dataset includes shoreline slope, beach elevation, underwater topography data, and sediment source storage data. The ecological dataset includes tidal flat vegetation distribution, benthic organism density, ecologically sensitive area range, and water environment quality data. This invention, through the coupled processing of hydrological, topographic, and ecological multi-source datasets, obtains hydraulic reference values ​​and topographic adaptation values ​​for the trench, directly reflecting the regional dynamic conditions and the degree of topographic adaptation, significantly reducing the workload of manual calculation and trial and error.

The invention relates to the technical field of environment monitoring and big data analysis, and discloses a soil environment quality evaluation method based on big data. The method comprises the following steps: fusing measured data of soil heavy metals with multi-source heterogeneous data such as remote sensing, terrain, land utilization, hydrogeology and the like; a space-attribute joint constraint depth generation network is constructed, an encoder of the space-attribute joint constraint depth generation network extracts multi-scale features, an attribute physical constraint module is embedded into a convection-dispersion equation to model a heavy metal migration mechanism, and a decoder outputs a high-fidelity concentration field; and dividing four pollution risk grades according to national standards, and generating an evaluation diagram. Through data driving and physical mechanism collaborative modeling, the pollution boundary depicting precision is improved, the prediction error under the low sampling density is reduced compared with a traditional method, the recall rate of a high-risk area is increased, and reliable support is provided for precise soil treatment.

The application provides a construction method of a natural river channel and overbank wetland, comprising the following steps: S1: constructing a natural river channel and three-stage overbank in a riverbed according to historical daily flow statistical characteristics, so as to adapt to river channel flow characteristics under different rainfall scenarios; and S2: constructing overbank wetlands with different characteristics according to selected overbank types. The application relies on overbank wetlands to comprehensively improve the ecological service function of the river channel; in a non-rainfall scenario, the service functions of landscape, soil conservation, wind prevention and sand fixation are realized; and in a rainfall scenario, the service functions of reducing non-point source pollution, storing flood, and improving water environmental quality are mainly played.

The invention relates to an AI-assisted multi-index environment quality monitoring method and system, and relates to the technical field of environment monitoring, and the method comprises the steps: receiving an environment monitoring task, decoupling the task into a task field sequence, and constructing a dynamic monitoring topology network; writing into a programmable gate, establishing a meta-cognitive engine and coupling a plurality of PGA threads, and generating an intelligent gain module constructed by a programmable gain amplifier; and performing round robin monitoring according to a task field sequence to monitor combination, target PGA thread and gain value management, reconstructing a lower node topology network and adjusting gain by using a real-time environment impedance spectrum, and finally obtaining an environment quality state. The technical problems of single index coverage, hardware adaptation stiffness and data response lag in traditional environment monitoring are solved, and the technical effect of multi-dimensional, high-precision and self-adaptive environment quality monitoring is achieved.

The invention discloses a pixel scale water environment safety assessment method based on a non-point source water body pollution risk, and belongs to the technical field of environmental protection. According to the method, through an agricultural non-point source pollution direct evaluation method, the pollution risk of terrestrial agricultural non-point source output to surface water is accurately quantified, a DPeRS model is introduced, quantitative evaluation of the remote sensing pixel scale agricultural non-point source river entering amount is achieved, and the pixel scale agricultural non-point source river entering concentration is quantified as a non-point source pollution risk evaluation index in combination with an SWAT model. With surface water environment quality improvement as a target, an agricultural non-point source pollution in-water risk grade threshold value is determined based on a nitrogen and phosphorus concentration limit value in a surface water environment quality standard and a national secondary pollution general survey agricultural non-point source proportion, and a pixel scale agricultural non-point source in-water pollution risk prominent area is rapidly screened. High-precision target positioning of remote sensing pixel scale agricultural non-point source pollution is realized, and source-targeted agricultural non-point source pollution precise prevention and control and agricultural non-point source pollution treatment effect evaluation are facilitated.

The utility model relates to ecological environment quality monitoring technical field, proposes a kind of monitoring ecological environment quality remote sensing monitoring device, including first support rod, the inside rotation of first support rod is provided with connecting plate, the top of connecting plate is fixedly provided with adjusting rod, the outside of adjusting rod is fixedly provided with limit plate, and limit plate is at the top of first support rod, the inside of adjusting rod is fixedly provided with multiple fixed rods, the top of adjusting rod is connected with second support rod, the inside of second support rod is fixedly provided with inserting post, when installing ecological environment monitoring main part, first support rod is fixedly installed in suitable position by fixed plate, second support rod is installed in the top of adjusting rod, the fixed rod in the inside of adjusting rod and the outside of inserting post are buckled, to connect second support rod with adjusting rod, it is convenient to dismount second support rod, to facilitate the disassembly and repair of ecological environment monitoring main part, angle adjustment is carried out to second support rod by rotating adjusting rod simultaneously.

The invention relates to the technical field of remote sensing and geographic information, and discloses a method for identifying the influence of mining intensity on a mining industry urban society-ecosystem, which comprises the following steps: extracting year-by-year mining industry activity land vector data of a mining industry centralized development area, and establishing a space density field model; noctilucent remote sensing data and GDP statistical data are fused, and a social economic development index is constructed; integrating four key ecological factors of greenness, humidity, dryness and heat, and constructing comprehensive indexes for evaluating the regional ecological environment quality; constructing a mining city society-ecosystem analysis framework to systematically quantify an interaction relationship between social economy and ecological environment components; and analyzing the influence of the mining strength index on the interaction relationship by adopting a panel quantile regression model. According to the method, quantitative evaluation of the social-ecological system interaction relationship is realized, and the threshold feature of the influence of the mining intensity index on the system is revealed.

The application provides a water environment model coupling data processing method and system, and relates to the technical field of hydrology and water quality monitoring. The method comprises the following steps: determining the downward trend of soil permeability characteristics and estimating the uncertainty range of runoff coefficient; using a regional source-sink pollution model, obtaining source model data according to the uncertainty range of runoff coefficient; using a one-dimensional river network model, obtaining error information and outputting prediction data according to the source model data; and determining the prediction deviation mode by comparing the prediction data and real-time monitoring data and correcting the parameters of all related models in the whole model chain. The method aims to solve the technical problem that the prediction of the river network model deviates from the actual measurement data in a nonlinear manner in a three-model coupling system, which ultimately leads to the inconsistency between the permitted discharge amount set based on the system and the actual water body absorption capacity, and to realize the accurate analysis of the response relationship between the urban pollution load and the water environment quality and the real-time and self-adaptive adjustment of the permitted discharge amount.

1. Name of the product in this design: Environmental Quality Detector. 2. Purpose of this design: For detecting environmental quality. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The embodiment of the invention provides a landscape space environment quality evaluation method and system based on a neural network, and belongs to the technical field of artificial intelligence. The method comprises the following steps: acquiring environmental parameter data of each space partition in a landscape space under a corresponding timestamp and conditional variable data used for representing an environmental observation condition, calculating an anti-fact correction value, and generating environmental parameter data after anti-fact correction; determining parameter availability mark information corresponding to each environment parameter; constructing a fusion input tensor, and executing gating weighting processing on the fusion input tensor through a preset credibility gating rule to generate gating fusion feature representation; and inputting the gating fusion feature representation into a neural network model to execute fusion reasoning processing, and outputting a landscape space environment quality evaluation result corresponding to each space partition. According to the scheme of the invention, the landscape space environment quality evaluation result still keeps cross-time comparability and output stability under the interference of observation condition change and data anomaly.

The application provides a kind of multi-dimensional sound scene ecological element space layout optimization method and system, belongs to mechanical vibration measurement technical field field, this method includes integration three-dimensional point cloud and environmental parameter construction digital basement, establishes the native plant model containing growth and acoustic characteristics, generates the space sound effect contribution degree pressure field representing the noise reduction potential by reverse sound wave ray tracing, constructs the plant growth agent driven by the pressure field, runs the symbiotic simulation engine to generate the morphological dynamic evolution sequence, calculates the acoustic performance, ecological stability and landscape robustness index, and uses it as the fitness evaluation basis of evolution algorithm, iteratively optimizes the initial planting layout, the application realizes the coupling of acoustic physical simulation and plant growth competition logic, is used to guide the long-term planning and species configuration of ecological garden, improves the sound environment quality and succession stability of landscape.

The present application belongs to the technical field of environmental protection monitoring, and particularly relates to an environmental protection monitoring and inspection robot, which comprises a shell, a monitoring rotating module is installed at the upper end of the shell, and a high-definition camera and an infrared thermal imager are respectively installed at the left and right sides of the monitoring rotating module. The present application can realize the collection of omnibearing visible light and infrared images, and through visual intelligent algorithm analysis technology, the robot can autonomously identify various machines and equipment in a factory, automatically classify pollution source types, monitor various environmental indexes of an industrial enterprise production line in the process of robot intelligent inspection and monitoring, divide the early warning level based on good or extreme weather, and link with the equipment to assist in decision-making of whether the operation of each process of the industrial enterprise and the equipment continues, strengthen the supervision of the operation of the enterprise workshop, ensure the rationalization of production in the workshop, and improve the informatization and intelligentization level of the ecological environmental bureau in monitoring the environmental quality.

This invention is used to identify physical features and physical qualities, to identify physical features and environmental qualities, to identify economic features and functional-activity qualities, identifying semantic-oriented features and content qualities and identifying functional-oriented features and functional-activity qualities. But our main goal is to recreate the cultural and social axis of Tehran city with emphasis on improving the quality of perception of the environment. To evaluate the collected data from regression statistical test to assess the factors affecting regeneration and the quality of environmental perception, the Pearson correlation test was used to measure the relationship between ecological perception quality and regeneration quality components, and the Friedman test was used to prioritize each indicator and average rank of indicators from citizens' point of view. The results show that among the indices, the environmental component is the priority, and then the content component promotes the quality of ecological perception.

This invention discloses a coupled method for determining the ranking of regional surface water environmental quality. The steps include: acquiring water quality monitoring data of the study area; calculating water quality indices for individual parameters, cross-sections, and the region based on the Class III limits of the "Surface Water Environmental Quality Standard" (GB 3838-2002) to obtain a regional surface water environmental quality ranking based on the CWQI method; calculating the ranking based on the importance of water quality parameters to aquatic organisms using the CWWQI method; evaluating the water quality of each cross-section using the SIE&W-F&PNN method; and verifying the ranking results of the CWQI and CWWQI methods to determine the most reasonable ranking. This invention provides a coupled method for determining regional surface water environmental quality ranking using CWQI, CWWQI, and SIE&W-F&PNN, making ranking-based financial rewards or deductions more convincing.

The invention provides a real-time water environment assessment method based on a fully-mixed model, and relates to the technical field of water environment protection, and the method comprises the steps: obtaining the flow and each water environment index concentration of a to-be-assessed cross section and an upstream cross section in real time, thereby predicting each water environment index concentration of the to-be-assessed cross section at the current moment after customer water merges; and calculating a Nemerow comprehensive pollution index so as to evaluate the water environment. According to the method, the Neimero comprehensive pollution index of the to-be-evaluated section at each moment is predicted through the section total hybrid model, and the influence of the upstream section is considered in prediction, so that the comprehensive index not only reflects the pollution of a single section, but also implies the pollution transmission information of the upstream and downstream hybrid process. Meanwhile, the Nemerow comprehensive pollution indexes predicted at a plurality of continuous moments can form time sequence association, and the method is more suitable for the actual scene that river pollution dynamically changes along with time. The data timeliness and the section relevance are comprehensively considered, and the real-time performance and the accuracy of water environment quality evaluation are improved.

The invention discloses an environmental protection monitoring abnormal data analysis system and method based on big data, and relates to the technical field of environmental protection monitoring, and the method comprises the steps: collecting time sequence data of a target environmental protection monitoring system in real time; constructing a dynamic association logic model library which comprises an instruction response model library, a state performance model library and a space cooperation model library; the instruction response model library comprises a dynamic causal relationship between the control instruction and the environment quality reading; the state performance model library comprises association between equipment operation state parameters and environment quality reading stability; the space collaboration model library comprises a data consistency rule of multiple monitoring points in space distribution; performing performance degradation and data credibility risk and regional execution fault positioning and monitoring equipment performance degradation early warning on the time series data; and generating a comprehensive abnormality diagnosis and positioning report. According to the invention, cross validation is carried out through the three model libraries, anomalies of different roots are effectively distinguished, and the decision-making efficiency and accuracy are improved.

The invention provides an ecological environment quality evaluation method and a related device, and belongs to the technical field of ecological environment quality evaluation. The method comprises the following steps: obtaining a relative ecological environment quality index of each pixel based on a top-level community actual quality index value of each ecological system in each sub-region, and grading the relative ecological environment quality index of each pixel to obtain a plurality of grades; determining a quality index of each ecological system based on the plurality of grades; determining the quality index of the comprehensive ecological system based on the quality index of each ecological system; based on the quality index of the comprehensive ecological system, obtaining a pixel-level ecological environment quality index of the to-be-evaluated region; and obtaining an administrative region ecological environment quality evaluation result corresponding to the to-be-evaluated region based on the pixel-level ecological environment quality index of the to-be-evaluated region. The problem that the accuracy of ecological environment quality evaluation is not high is solved.

The invention discloses an ecological environment quality prediction method, and relates to the technical field of ecological environment, and the method comprises the steps: obtaining remote sensing images of a research region in different periods, and calculating a vegetation normalization index NDVI, a humidity index WET, a heat index LST, a dryness index NDBSI, a PM2.5 concentration difference index DI and a comprehensive salinity index CSI of the research region in different periods; constructing a novel remote sensing ecological index RSEInew by using a principal component analysis method, and dividing the novel remote sensing ecological index RSEInew into five ecological environment quality levels; calculating novel remote sensing ecological indexes RSEInew of the monthly scale, the annual scale and the different seasonal scales of the research area, and determining ecological environment quality levels of the monthly scale, the annual scale and the different seasonal scales of the research area; a CA-Markov model is constructed, the novel remote sensing ecological indexes RSEInew of the monthly scale, the annual scale and different seasonal scales of the research area and the ecological environment quality level are used as data sources, and the data sources are input into the CA-Markov model to predict the ecological environment quality; in conclusion, the method can accurately evaluate and predict the environment quality.

The application discloses a kind of real-time air microorganism monitoring model construction methods, comprising the following steps: collecting the plankton in the air of the place to be monitored, calculating the concentration of plankton;In the same time period, monitor and collect the air environmental quality data in the air of the place to be monitored;Collect the concentration of plankton in the air of the place to be monitored and air environmental quality data in different time periods, form multidimensional data table;Analysis of the correlation between the concentration of plankton in the air of the place to be monitored and air environmental quality data;Select the best air environmental quality related to the concentration of plankton in the air as the related parameter, and model using Gaussian mixture model;Optimize the K value of Gaussian mixture model, and the final Gaussian mixture model is obtained;Select the long axis of the corresponding ellipse as the constitutive line segment of the piecewise function, to obtain continuous piecewise linear function, that is, real-time air microorganism monitoring model.The application has high accuracy, low cost and is easy to implement and popularize.

The invention relates to the technical field of unmanned aerial vehicle sampling and water area ecological environment quality monitoring, in particular to a mobile self-organizing relay communication unmanned sampling method and system for a wide water area. Comprising a mobile vehicle-mounted console, a mobile self-organizing multistage relay communication link formed by a plurality of unmanned ships, and a collaborative operation unit formed by sampling unmanned aerial vehicles. The unmanned ships are connected end to end according to specific intervals, the signal radiation ranges of the unmanned ships are mutually overlapped, and the unmanned ships are automatically networked to form a continuous communication chain extending to a far-shore wide water area. The sampling unmanned aerial vehicle firstly stably hovers at a first hovering height and then vertically descends to a second hovering height to execute accurate sampling, and after sampling is completed, an automatic return flight instruction is triggered to achieve sample recovery. According to the invention, by constructing the dynamic self-organizing node network and state feedback closed-loop control, the bottleneck of signal transmission and collaborative operation capability of the unmanned aerial vehicle in a wide water area is solved, and large-range, high-efficiency and high-precision automatic unmanned sampling is realized.

The invention discloses a tunnel face environment quality evaluation method and system based on dynamic weight. The invention relates to the technical field of tunnel construction environment monitoring, and aims to solve the problems of single-index alarm mechanism defects, weight system stiffness and data application lag of an existing tunnel construction environment quality evaluation method. The method comprises the following steps: acquiring environmental parameters of a tunnel face, calculating a weight ratio of each environmental parameter in the sum of all environmental parameters as a basic weight, calculating a working condition correction coefficient, calculating a dynamic weight of tunnel face environmental quality evaluation, and calculating a normalized value of each environmental parameter index. Calculating a comprehensive evaluation index value of the environment quality of the tunnel face, and evaluating the environment quality of the tunnel face; according to the method, the environmental parameters are combined with the dynamic adjustment coefficient of the surrounding rock, the progress development condition of tunnel construction is combined into the weight analysis of the environmental parameters, and the scientificity and comprehensiveness of environmental quality evaluation of the tunnel face are greatly improved.

1. Name of the product in this design: Environmental Sensor. 2. Application of this design: This design is an environmental sensor that can monitor environmental quality, including temperature, humidity, wind speed, and concentrations of various gases, volatile organic compounds, and suspended particulates. 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 invention relates to the field of environmental science, and provides a sensitive species screening method and system for soil Cd environmental quality benchmark derivation. The method comprises the following steps: establishing a multi-dimensional evaluation index system, carrying out weighted scoring processing on candidate species, and screening to obtain a preliminary acceptor species directory; for species in the preliminary receptor species directory, acquiring soil Cd toxicity data, and performing soil property normalization processing on the soil Cd toxicity data to obtain a standardized toxicity data set; inputting the standardized toxicity data set into a species sensitivity distribution model for fitting calculation, and generating a species sensitivity distribution curve; according to the species sensitivity distribution curve, sorting the species according to the sensitivity, selecting sensitive species from a sorting result, and forming a sensitive ecological receptor directory. According to the method, scientificity, accuracy and regional applicability of soil Cd environment reference derivation are improved.

This invention relates to the field of intelligent control, and more particularly to an intelligent control method for a photovoltaic energy storage direct-drive five-constant system. The invention monitors environmental data from several spatial areas to extract the environmental state characteristics of each area; combines these environmental state characteristics with fluctuations in fan noise intensity to analyze the environmental quality characterization values ​​of the spatial areas, thus marking them; in response to the presence of marked spatial areas, the invention assesses and analyzes the environment of those areas to determine the environmental quality degradation level of occupied spaces; and based on this degradation level, it adaptively regulates the control equipment within the occupied spaces. This invention improves the accuracy and targeting of environmental control while optimizing human comfort, aligning with the core experience requirements of a five-constant system.

The invention belongs to the technical field of ecological risk identification, and particularly relates to a typical karst geology high background area ecological risk rapid identification method based on soil geochemical data, and the method comprises the following steps: S1, determining indexes affecting the biological activity of heavy metals such as Cd according to the chemical composition of secondary enriched minerals in soil; s2, determining an index critical value of soil secondary enrichment mineral formation according to the indexes screened out in S1; s3, on the basis of GB 15618-2018, establishing an ecological risk rapid identification method in combination with the index critical value determined in S2; and S4, selecting soil geochemical data of a typical karst geology high background area, and verifying the rapid ecological risk identification method. According to the method, the ecological risk of the karst geology high background area can be rapidly and effectively divided through area soil geochemical data, the accuracy degree of the method is far higher than that of a division method only according to the Soil Environment Quality Agricultural Land Soil Pollution Risk Management and Control Standard (GB 15618-2018), and the method has good market application prospects.