55 results about "Environmental impact assessment" patented technology

The invention discloses a life cycle evaluation system and method and a computer program product, and belongs to the technical field of life cycle evaluation, and the life cycle evaluation system comprises a data acquisition module, an artificial intelligence prediction module, an environmental influence calculation module and a feedback and visualization module. The data acquisition module acquires original data in equipment operation; the artificial intelligence prediction module receives the original data and performs prediction to form resource flow data; the environment influence calculation module receives the original data and the resource flow data and converts the original data and the resource flow data into standardized life cycle evaluation indexes; and the feedback and visualization module displays the life cycle evaluation index and generates a parameter adjustment instruction. According to the invention, real-time environmental impact assessment and sustainable optimization in the hybrid manufacturing process are realized.

The invention provides an enterprise environment influence assessment method, device and equipment and a computer storage medium, and relates to the technical field of environment assessment, and the method comprises the steps: collecting environment index original data with a timestamp, and constructing a multi-source environment data set in combination with enterprise resource consumption data and emission factor data; carrying out credibility evaluation and weighted fusion on the data set, inputting the fused data into a pre-training evaluation model, and outputting a comprehensive environmental impact evaluation value; the contribution degree of each input feature is analyzed and calculated through model attribution, key factors are identified based on metadata, and a customized improvement measure list of priority ranking is generated in combination with a measure knowledge base and a multi-objective optimization algorithm; the invention further provides a matched portable detection device, electronic equipment and a storage medium, dynamic quantification, accurate attribution and closed-loop optimization of enterprise environment influences are achieved, and the method is suitable for intelligent environment management of high-emission industrial enterprises.

The invention belongs to the technical field of environmental protection, and particularly discloses an intelligent environmental impact assessment method and system, and the method comprises the following steps: obtaining real-time monitoring data, and constructing a pollutant initial distribution model according to the real-time monitoring data; the real-time monitoring data are environmental parameters including temperature, humidity, wind speed, rainfall and pollutant concentration; correcting the initial distribution model by using meteorological prediction data, wherein the meteorological prediction data comprises a wind speed change trend and a wind direction change trend in a future time period; simulating a pollutant diffusion path based on the corrected distribution model, wherein the simulation of the diffusion path is realized by applying a fluid mechanics principle in combination with a topographic relief effect and a vegetation interception effect; and generating a spatial distribution probability distribution diagram of the environmental influence according to the simulation result, wherein the probability distribution diagram is used for displaying the difference of the threat degrees of environmental pollution to different regions. According to the method, the spatial distribution uncertainty can be reasonably quantified while the prediction precision is improved.

A method and a system for online integrated environmental monitoring, assessment, and impact visualization of projects are disclosed. The method includes receiving project site data representing the geographical boundary of a project in a virtual environment and collecting real-world environmental data from fixed and mobile monitoring devices. Model data, modeling parameters, and digital ground data associated with the project are retrieved and unified through a unified connector interface to form a unified input data. The unified input data is processed through one or more impact modeling entities to assess environmental impacts, including air quality, noise, water quality, and ecological effects. Visualizations of the environmental impact determined are transmitted to an environmental assessment planner interface for display. The method and the system provide for real-time integration, efficient impact modeling, and multi-dimensional visualization, enabling stakeholders to evaluate and monitor environmental effects with enhanced precision and accessibility in a seamless digital environment.

The application discloses a kind of fish suitable flow habitat spatio-temporal distribution calculation method and system, through basic data collection pre-processing, target fish life history and reservoir scheduling spatio-temporal matching, cascade reservoir dynamic backwater length calculation, habitat suitability determination of dehydration river section, spatial superposition between cascades, habitat time dimension accounting and spatio-temporal matrix construction, planning scheme compliance verification and the like steps, realize the spatio-temporal dynamic accurate delineation of the habitat of native fish suitable flow after cascade development.The application fully considers the water level fluctuation and backwater dynamic change of reservoir within a year, the differentiated habitat needs of different life history stages of target native fish, solves the industry pain points of traditional method such as insufficient accuracy, disconnection with protection target and lack of time dimension evaluation, and can provide scientific and accurate technical support for basin hydropower development layout optimization, ecological protection measure formulation and planning scheme environmental impact assessment comparison.

The application discloses a tunnel wall vibration prediction method and system considering line alignment constraint conditions, and is based on a constructed vehicle-line coupling dynamics, train-track-tunnel (soil body) system vibration integrated analysis model, studies the influence degree of different line parameters such as curve radius, line slope and combinations thereof on the system vibration response, obtains tunnel wall vibration acceleration data in the evaluation section, and further calculates the tunnel wall Z vibration level; based on the probability density distribution and numerical fitting method, the influence function relationship of different line parameters on the tunnel wall vibration level is derived. The application fully considers the objective problem that the influence factors of the existing environmental impact assessment prediction method are not comprehensive, quantifies the corresponding coupling relationship between the line parameters and the tunnel wall Z vibration level, can more systematically determine the prediction and evaluation results of the urban rail transit vehicle-induced tunnel wall vibration, and provides a theoretical basis and an engineering applicable method for realizing tunnel structure vibration prediction and line design optimization.

The present application relates to the technical field of real-time monitoring, in particular to a real-time monitoring system for road and bridge construction progress, which comprises a dynamic relationship analysis module, an event response decision module, a structure health monitoring module, a risk management and prediction module, a progress prediction and adjustment module, a resource optimization configuration module, an environmental impact assessment module and an overall progress management module.In the present application, the dynamic relationship in construction is captured through the graph neural network, the graph attention network and the dynamic graph convolution network, the construction model is updated in real time, the accuracy of progress analysis is ensured, the event response decision module quickly optimizes the construction plan through the predictive control algorithm, the strategy flexibility is improved, the structure health monitoring and risk management module combines the Markov decision process and the Monte Carlo tree search, effectively prevents risks and ensures safety, the progress prediction, resource optimization and environmental impact assessment module improves resource efficiency and environmental adaptability, and the application of comprehensive evaluation method realizes efficient and high-quality construction management.

The invention belongs to the technical field of cup holders, and discloses a big data analysis-based intelligent dust removal environmental impact assessment method, which comprises the following steps of: acquiring multi-source data, and integrating the multi-source data into a unified data model by using a space-time alignment technology to obtain a comprehensive data set of environment and dust removal system operation; performing data preprocessing on the multi-source data in the comprehensive data set, and performing feature extraction to obtain feature data; establishing an environmental impact assessment model based on the feature data; utilizing the trained model to evaluate the influence of the dust removal measures on the environment; the evaluation result is displayed in a chart form; the time sequence diagram shows the change of the environment indexes before and after the dedusting measures are implemented. According to the invention, through big data fusion and an advanced causal inference model, the defect that the influence of natural meteorological change cannot be eliminated by a traditional front-back comparison method is overcome, and the real contribution of dust removal measures to environment improvement can be quantified more scientifically and accurately.

An automated computer-implemented process can be executed by a monitoring server for real-time environmental impact assessment of a distributed computer system. The process includes receiving power metrics from metrics sources, the power metrics representing power usage by resources of the distributed computer system. The process further includes determining environmental impact metrics that represent amounts of CO2 emissions created by the distributed computer system. The process further includes comparing the environmental impact metrics with a CO2 emissions benchmark. The process further includes determining that the environmental impact metrics exceed the CO2 emissions benchmark. The process further includes outputting for display to a participant of a virtual meeting a prompt with a suggestion for executing a remedial measure that reduces CO2 emissions created by the distributed computer system.

The present application relates to the technical field of suspended sediment dynamic monitoring, and particularly relates to a suspended sediment dynamic change monitoring and deep sea operation scheduling optimization method, comprising multi-source fusion data acquisition: synchronously acquiring suspended sediment concentration distribution data, three-dimensional sea current vector data and seabed microtopography slope data of a target area; plume flow dynamic diffusion simulation: inputting the acquired data into a microtopography coupled adaptive plume flow diffusion model to generate a plume flow diffusion three-dimensional space-time cloud atlas for the next 6 hours; dynamic risk zoning generation: performing space-time superposition analysis on the plume flow diffusion three-dimensional space-time cloud atlas and a preset ecological sensitive area dynamic electronic fence to generate an operation risk heat map; intelligent zoning scheduling execution: dynamically dividing a forbidden mining area, a buffer area and a safe area, and sending zoning interval rotation scheduling instructions to a mining equipment group. The present application improves the spatial resolution and time response capability of sediment diffusion behavior prediction, and provides a basis for environmental impact assessment and ecological protection.

The invention belongs to the technical field of magnesia carbon brick production environmental impact evaluation, and relates to an environmental impact evaluation method for magnesia carbon bricks and waste magnesia carbon brick resource utilization products. Firstly, an evaluation object, a function unit and a system boundary are determined; dividing the life cycle of the evaluation object into a plurality of unit processes according to a system boundary, and establishing an input and output data list of each unit process; a corresponding characterization model is selected, a list analysis result is analyzed according to characterization factors of the model, and an evaluation result of the life cycle environmental influence is obtained and represented by environmental influence potential values of different environmental influence types; explaining the environmental influence result of the evaluation object and proposing suggestions according to the contribution degree of each element; then, investment cost, operation cost and environment cost calculation is carried out on several resource utilization paths; and finally, calculating the total income of different waste magnesia carbon brick resource utilization products, and analyzing the total economic benefit.

The utility model is applicable to the technical field of pollutant detection, and provides a pollutant detection device for environmental influence evaluation, which comprises a base, a cylindrical shell fixedly mounted on the base, a lifting disc movably mounted in the shell through an electric telescopic cylinder, and a drilling mechanism mounted on the bottom surface of the lifting disc. The drilling mechanism comprises a vertically-mounted drill rod and a driving element for driving the drill rod to rotate, a sampling assembly is further arranged at the bottom end of the drill rod and comprises a plurality of sampling plates arranged in a circumferential array and a driving unit for driving the sampling plates to synchronously turn over, and the sampling plates are of a petal-shaped structure; a plurality of sampling plates can be spliced into a funnel-shaped sampling spoon, the funnel-shaped sampling spoon formed by the petal-shaped sampling plates can block the bottom end of a drill rod in an initial state and prevent soil at other depths from entering the drill rod, and can be flexibly opened when sampling is needed, accurate grabbing and sampling are achieved, and the problem that a traditional device cannot accurately obtain a soil sample at a specified depth is solved.

The invention relates to the technical field of environmental management, and discloses an environmental protection system based on data big model training optimization, and the system comprises the steps: constructing an environmental impact evaluation report classification system; collecting standard specifications of different pollution types in the classification system, performing sample processing, and constructing a model training sample data set; a text recognition and processing module; calling a large model interface to obtain an audit result; performing preliminary verification on the auditing result; and feeding back an auditing result. According to the environmental protection system based on data large model training optimization, intelligent auditing of reports is achieved by constructing an environmental impact evaluation report classification system, collecting related standard specifications and conducting sample processing, the auditing efficiency and accuracy are improved, and manual errors are reduced through formulated labeling and datamation verification; a general quantitative evaluation formula is introduced, a more comprehensive evaluation result is provided, improvement of the consistency of the evaluation result is facilitated, and meanwhile, the comparability of the evaluation result is improved by using a unified quantitative evaluation method.

The invention belongs to the field of food system environmental impact assessment and dietary transformation, and particularly relates to a dietary structure multi-scale carbon footprint optimization and assessment method considering methane attenuation. The method comprises the following steps: determining a plurality of evaluation time scales; and embedding the methane dynamic attenuation model into food life cycle carbon footprint accounting, and re-accounting the carbon footprint coefficients of the food under different time scales. And constructing an optimization model with a minimum carbon footprint as a target, and solving an optimal dietary structure under different time scales by taking multiple nutritional indexes and food intake rationality as constraint conditions. According to the method, a scientific basis is provided for making a climate policy, dietary transformation can be guided more accurately, and the climate benefit of dietary transformation can be evaluated correctly. The method is suitable for practical application in the fields of diet optimization, climate alleviation policy making, environmental impact assessment and the like.

This invention discloses a life cycle assessment system, method, and computer program product, belonging to the field of life cycle assessment technology. It includes a data acquisition module, an artificial intelligence prediction module, an environmental impact calculation module, and a feedback and visualization module. The data acquisition module collects raw data during equipment operation. The artificial intelligence prediction module receives the raw data and predicts resource flow data. The environmental impact calculation module receives the raw data and the resource flow data and converts them into standardized life cycle assessment indicators. The feedback and visualization module displays the life cycle assessment indicators and generates parameter adjustment instructions. This invention achieves real-time environmental impact assessment and sustainability optimization in hybrid manufacturing processes.

The invention provides a ternary collaborative multi-agent framework and an environmental assessment report intelligent auditing method, and belongs to the technical field of artificial intelligence and environmental assessment, the framework comprises a decision-making layer, an arbitration layer and an evolution layer, the decision-making layer performs parallel auditing with a dynamic weight revenue function through four agents, and the arbitration layer quantifies decision conflicts with OODA circulation based on conflict intensity, and performs review on the decision-making layer and the dynamic weight revenue function through the four agents. And the evolution layer adopts a DPO method with preference attenuation to realize model iteration. And the auditing efficiency and precision are obviously improved.

The invention discloses an electric power corridor ecological sensitivity evaluation method and system based on multi-source data, and belongs to the field of electric power corridor ecological sensitivity evaluation.The method comprises the following steps that ecological sensitivity factor indexes are obtained, and according to the requirement of electric power engineering environment influence evaluation, the ecological sensitivity factors are obtained; determining an ecological sensitive factor index sensitive to the construction response of the electric power gallery; carrying out numerical value standardization processing on the ecological sensitive factor indexes sensitive to the construction response of the electric power gallery, and carrying out grading and assignment; constructing an electric power corridor ecological sensitivity evaluation index system; and calculating a comprehensive ecological sensitivity index through a weighted summation method, classifying the area units through a natural breakpoint method, calculating the ecological sensitivity index of each area unit, and visually displaying the electric power corridor ecological sensitivity grade map. According to the method, multi-source data are fused to construct a multi-dimensional ecological sensitive factor system, so that evaluation indexes are more comprehensive, analysis is more objective, and the influence of engineering construction on the ecological environment is reduced.

This invention discloses a named entity recognition (NER) technology based on few-shot learning in the environmental impact assessment (EIA) domain. The method includes: acquiring and preprocessing corpora from EIA documents; manually annotating the preprocessed corpora to obtain annotated and unannotated samples; manually collecting and organizing entities in the EIA domain and saving them in an entity database in the form of a vocabulary; expanding the entity database; establishing a named entity recognition model; training the named entity recognition model in stages using the annotated and unannotated samples; obtaining the trained named entity recognition model; and in the prediction stage, correcting the prediction results of the named entity recognition model using the expanded entity database. This invention comprehensively utilizes a small number of manually annotated samples and a manually organized entity database as supervision signals, gradually expanding pseudo-label data in stages, and using mixed data to improve the model's generalization ability, thus training a relatively efficient NER model with less manually annotated data.

The invention is suitable for the technical field of environmental assessment detection, and provides a multi-source heterogeneous data association method and system for environmental assessment detection. According to the invention, environmental assessment detection collection is carried out on a plurality of environmental assessment detection nodes; carrying out abnormal initial identification on the plurality of current detection data, and judging whether a suspicious anomaly exists or not; when there is a suspicious anomaly, performing multi-source numerical correlation calculation of inverse distance interpolation to obtain current estimated data; performing heterogeneous association comparison of type numerical values on the current estimated data and the current suspicious data, and recording comparison information; and determining whether there is a real detection abnormality. According to the method, abnormal initial identification can be carried out, multi-source numerical correlation calculation of inverse distance interpolation is carried out when suspicious anomalies exist, current estimated data are obtained, heterogeneous correlation comparison of type numerical values is carried out on the current estimated data and the current suspicious data, and whether true detection anomalies exist or not is judged, so that unified and correlated data anomaly identification judgment is realized; and the accuracy of environmental assessment detection results is ensured.

The utility model discloses a sampling box for environmental impact evaluation, which comprises a transfer assembly convenient to carry, a protection assembly for buffering external impact is arranged in the middle of the transfer assembly, a storage assembly for placing a plurality of samples is arranged in the protection assembly, and the protection assembly comprises a base. Clamping blocks are symmetrically arranged on the two sides of the base, a protective cover is arranged between the two clamping blocks, a plurality of spring pieces are evenly arranged on the peripheral side of the top face of the protective cover, a through hole is formed in the middle of the base, the transferring assembly comprises a lifting handle, and a connecting shaft is arranged at the bottom end of the lifting handle. According to the sampling box for environmental influence evaluation, the two sleeves are connected with the supporting columns in a sliding and inserting manner, and test tubes are inserted and tightly arranged, so that the storage space is saved while the sampling convenience is ensured; the bottom end of the spring abuts against the base, and the spring piece supports the top of the supporting column in multiple directions, so that the transportation stability of the test tubes in the box is guaranteed.

This invention belongs to the field of atmospheric environmental science and technology, and discloses a method for real-time calculation of the environmental capacity of industrial parks based on dual-weight coupling. The method includes: S1, basic data collection and preprocessing; S2, construction and deployment of the online CALPUFF model module; S3, calculation of the first weight; S4, calculation of the second weight; and S5, dual-weight coupling and calculation of the atmospheric environmental capacity of the industrial park. This invention integrates basic environmental capacity data of counties (cities, districts), real-time monitoring data of enterprises in the park, and planning environmental impact assessment prediction data. Through online diffusion simulation, a dual-weight allocation mechanism is constructed to achieve dynamic calculation of the atmospheric environmental capacity of industrial parks. This effectively solves the problems of static, fragmented, and poorly adaptable existing technologies, providing technical support for the coordinated management of regional air pollution and the high-quality development of industrial parks.

The utility model relates to the technical field of water quality sampling, and solves the problems that when a person samples water sources at different depths, the person only needs to continuously go deep into water for sampling by virtue of a connecting pipe, and the person needs to repeatedly replace storage equipment in the process, so that the steps are relatively tedious, and the sampling efficiency is influenced. The layered water quality detection device comprises a mounting plate, a protective frame is fixedly connected to the top of the mounting plate, a baffle is fixedly connected to the middle of the inner wall of the protective frame, a water pump is fixedly mounted on one side of the baffle, and a conveying pipe is inserted into the output end of the water pump. Automatic conveying assemblies are arranged on the surface of the conveying pipe at equal intervals, a connector is inserted into the input end of the water pump, a drainage pipe is inserted into one end of the connector, an extraction head is inserted into one end of the drainage pipe, each automatic conveying assembly comprises a sampling pipe inserted into the surface of the conveying pipe, and an electric valve is arranged at the top of each sampling pipe. One end of the sampling tube is fixedly connected with a sealing ring.

The invention discloses an intelligent evaluation and prediction system coupling a landscape pattern index and an ecological system service function, and relates to the technical field of ecological environment evaluation and prediction, and the system comprises a data input layer, a landscape index intelligent processing layer, an ecological service evaluation layer, an association prediction layer and a result output layer which are connected in sequence. The method can achieve the precise analysis of the dynamic change of the regional landscape pattern, achieves the comprehensive evaluation of the service functions of four types of ecosystems, namely supply service, adjustment service, support service and culture service, supports the short-term and medium-and-long-term landscape-service association prediction, is suitable for the scenes of ecological protection planning, land space optimization, environmental impact evaluation and the like, and is high in practicability. And scientific decision support is provided for sustainable management of an ecological system.

The invention relates to the technical field of industrial environment monitoring and intelligent data analysis, and discloses a full-process digital intelligent analysis system for environmental impact evaluation information, which comprises a full-process analysis server, a multi-modal data acquisition subsystem and a visual interaction terminal. The server is internally provided with a heterogeneous environment causal dependence map module, an operation data mapping module, a dynamic topology evolution module, a forward calculation module, a double-layer shadow verification module and an anti-fact reasoning competition module. The system updates the topology to generate a reference map by using a discrete event driven graph rewriting rule; calculating the deviation between a pollutant predicted value and a measured value, and instantiating the shadow copy to execute parameter back propagation and physical conservation verification when the deviation exceeds the standard; and if the quality balance verification fails, anti-fact reasoning is triggered, a variation set is generated based on the fault topology library, and comprehensive fitness is calculated after space pruning so as to screen an optimal interpretation map. According to the method, physical conservation and causal reasoning are combined, so that accurate attribution of environmental hidden dangers is realized.

This utility model provides a soil environmental impact assessment device, including a mounting base, a mounting frame, a moving device, a lifting device, a detection mechanism, and two positioning components. The mounting base has a cultivation trough, and the mounting frame is erected on the mounting base. The moving device includes a first slide rail, a first moving frame, a second slide rail, and a second moving frame. One end of the lifting device is connected to the second moving frame, and the other end of the lifting device is provided with at least two detection mechanisms, each facing the mounting base. One positioning component restricts the movement of the first moving frame, and the other positioning component restricts the movement of the second moving frame. The technical solution provided by this utility model solves the technical problems of low detection efficiency and complex drive device structure in related technologies.

This invention pertains to environmental monitoring of ultra-soft soil seabeds, specifically relating to a mobile environmental monitoring device and method suitable for ultra-soft soil seabeds. The device includes a mobile platform and a multi-parameter monitoring platform. The mobile platform comprises a skid-type platform body with a winch fixed inside. The winch is connected to the multi-parameter monitoring platform via cables. Thrusters are rotatably connected to both ends of the winch, negative pressure adsorption devices are longitudinally slidably connected to its four sides, and multiple anti-adsorption devices are rotatably connected to its bottom. Each anti-adsorption device has multiple water injection channels, which are connected to a multi-channel water pump located within the skid-type platform body via pipelines. The anti-adsorption devices inject water and rotate to form a water curtain, generating upward thrust. This ensures that the weight of the device is compatible with the bearing capacity of the ultra-soft soil while enabling the mobile platform to move stably on the ultra-soft soil seabed and providing the multi-parameter monitoring platform with three-dimensional profile observation capabilities. This provides reliable technical support for the dynamic tracking and monitoring of sediment plumes in deep-sea mining areas and for environmental impact assessment.

The invention relates to the technical field of environmental assessment text processing, and discloses an intelligent auditing system for an environmental assessment report based on dynamic classification and knowledge mapping, which enables a classification system to automatically identify a novel pollution type and dynamically adjust a type boundary through multi-source data fusion and an incremental learning algorithm. The method ensures that the classification result always meets the newest environmental policy requirement, and ensures that the knowledge base can synchronize the newest standard specification content in real time by establishing a classification system and a trigger updating mechanism of the standard specification, thereby achieving the effect of comprehensively improving the professionalism and timeliness of the environmental assessment system. The system can automatically adapt to environmental policy changes and technical standard updating, can maintain scientificity of a classification system and integrity of a knowledge base without manual intervention, ensures that newest and most relevant standard specifications can be called for professional judgment when various environmental assessment reports are audited, and remarkably reduces audit deviation caused by knowledge lag.

The invention relates to the technical field of environment monitoring, in particular to a deep sea polymetallic nodule mining area plume diffusion boundary self-adaptive recognition method which comprises the following steps: S1, collecting multi-source observation data such as suspended particle concentration, turbidity and oxidation-reduction potential, analyzing physical-chemical gradient mutation behaviors, and constructing an initial response feature map; s2, inputting the feature map into a structure evolution perception model, fusing disturbance time sequence evolution and terrain boundary constraints, and generating an adaptive disturbance response partition map of a boundary candidate region; and S3, in combination with the concentration gradient change rate and the local consistency characteristics thereof, identifying a plume diffusion boundary for simulation prediction, environmental influence evaluation or ore pulp recovery path optimization. According to the method, high-precision and self-adaptive identification of the plume diffusion boundary of the deep-sea polymetallic nodule mining area is realized, and a reliable basis is provided for subsequent environment evaluation and resource recovery path optimization.

The invention discloses a tunnel construction ventilation energy consumption correction and carbon emission quantification method, relates to the technical field of carbon emission accounting and environmental influence evaluation, and solves the technical problems of insufficient carbon emission accounting precision and indirect emission neglecting equipment manufacturing and consumables caused by neglecting working condition difference and low data reliability. By introducing a multi-dimensional working condition parameter correction model and combining an account data automatic verification and abnormal data elimination mechanism, the defect that a traditional account method neglects working condition differences is avoided, the carbon emission accounting error is reduced, indirect carbon emissions such as ventilation equipment manufacturing and air pipe consumables are included in the accounting range, and the carbon emission accounting efficiency is improved. A full-life-cycle carbon emission statistical system is formed in combination with direct emission of ventilation power consumption, so that carbon emission accounting is more comprehensive, carbon emission prediction of design parameter combination is supported, a multi-dimensional comparative analysis report and a full-life-cycle carbon emission prediction curve are generated, and an optimal low-carbon design scheme is assisted to be selected in advance.