27 results about "Environmental index" patented technology

The invention relates to the technical field of laboratory environment control, and discloses an environment parameter control method and system for a complex laboratory, and the method comprises the steps: obtaining environment index data, and carrying out the time sequence processing, and obtaining a real-time change trend; according to the real-time change trend, predicting a future offset by using a prediction model, and performing data fusion when the offset exceeds a threshold value to obtain an accurate environment state estimated value; according to the accurate environmental state estimation value, quantifying the mutual influence among the environmental indexes to obtain the mutual influence relationship of the environmental indexes; determining an environment index priority sequence according to the mutual influence relationship; generating and executing a control instruction according to the priority sequence; and when continuous deviation exists, the prediction model and the mutual influence relation are updated through feedback circulation. According to the method, the dynamic mutual influence among the environmental indexes can be quantified, and accurate and stable cooperative control of multiple parameters in a complex dynamic environment is realized.

The invention discloses an intelligent fire prevention and control and operation and maintenance optimization method and system for an electric power supply network, and the method comprises the steps: collecting temperature, humidity and smoke concentration data in real time through a sensor network, generating a comprehensive environment index data flow, and obtaining a fire initial signal through abnormality judgment; calling a medium selection model, and outputting an optimal environment-friendly insulating medium and release parameters thereof by querying an environment-friendly medium and insulating characteristic parameter library and performing matching calculation based on the equipment type; utilizing a response speed optimization algorithm to generate an accurate release instruction sequence containing a release path, a dose and a time sequence; controlling the medium atomization device to synchronously release the medium according to the instruction; and collecting equipment protection and power supply continuity data, performing risk assessment to generate an efficiency index, and updating the prevention and control strategy library to optimize a subsequent decision. Through intelligent decision making and closed-loop optimization, power supply continuity and equipment safety are guaranteed to the maximum extent while rapid and accurate fire extinguishing is achieved, and transformation from post-disaster disposal to operation and maintenance level prevention and control is completed.

The invention provides a full-life-cycle data storage method and system for pressure-bearing equipment, and belongs to the technical field of data management. The method comprises the steps that a cross-stage material state record sequence is generated through full-life-cycle multi-source heterogeneous data standardization, and a complete pressure-bearing equipment state data chain is constructed. A material performance dynamic evolution path is tracked based on a time sequence analysis algorithm, high-risk scenes in the material performance dynamic evolution path are screened through a preset deviation degree threshold value, the causal relationship between defects and environmental indexes is analyzed so as to quantify environmental index influence weights, and then influence factor vectors are determined. And determining an influence factor vector set according to the influence vector, thereby establishing a defect growth trajectory prediction model, accurately predicting a defect state and residual life, determining a full life cycle management protocol by taking the residual life as a core, dynamically adjusting monitoring frequency, improving reliability and maintenance efficiency of pressure-bearing equipment, and reducing production safety risk and loss.

The invention belongs to the field of environment monitoring, and particularly relates to an environment monitoring method and system based on a large model, and the method comprises the steps: S1, collecting multi-source data which comprises environment monitoring data, geographic and spatio-temporal data and priori knowledge data; s2, carrying out preprocessing and non-uniform data interpolation on the multi-source data, and generating time-space aligned gridding feature data; a space-time attention mechanism is utilized to extract space-time correlation features from the gridding feature data, a pre-constructed environment knowledge graph is fused to perform knowledge enhancement, the features after knowledge enhancement are reused through a residual network, and depth features are output; dynamically adjusting the weight of the prediction layer based on the real-time monitoring data, and outputting an environment index prediction result of the target region in a future time period; and S3, generating an environment quality grade and early warning information according to an environment index prediction result, and generating a pollution cause traceability report based on a feature contribution degree analysis result. The problems of low prediction precision, poor interpretability and weak dynamic adaptability in environmental monitoring are solved.

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 relates to a method and a device for optimizing water quality evaluation based on interpretable machine learning. The method comprises the following steps: constructing a water quality data set; the contribution degree of the environmental indexes is determined through principal component analysis, and scores of the environmental indexes are obtained based on a penalty mechanism deviating from the optimal range so as to calculate water quality indexes; performing k-fold cross validation on the plurality of machine learning models, and selecting a prediction model according to the comprehensive evaluation value; evaluating the influence of each environmental index on the water quality index by adopting a plurality of importance evaluation methods to obtain comprehensive importance; and gradually inputting the environment indexes into the prediction model for training according to the sequence of gradually decreasing comprehensive importance, and determining an optimal prediction model according to the amplitude of increasing the performance of the model. According to the method, the monitoring purpose is achieved through a better environmental index combination, unnecessary environmental indexes are reduced, and the water quality evaluation efficiency is remarkably improved on the premise that high accuracy is guaranteed; the optimal prediction model can effectively reduce the monitoring cost and improve the operability.

The application discloses an evaluation method, device, equipment, storage medium and computer program product, wherein the method comprises: obtaining a performance index score of an air heat exchanger, the performance index score comprising one or more of an environmental index score, an energy efficiency index score and an air leakage index score; the energy efficiency index score is determined based on an energy efficiency measured value and an energy efficiency benchmark value, and the air leakage index score is determined based on an outdoor side outflow humidity content and an indoor side outflow humidity content; then, a weight parameter of each performance index score is obtained; finally, a performance evaluation result of the air heat exchanger is determined based on each performance index score and each weight parameter. Through the embodiment of the application, the performance of the air heat exchanger is evaluated in combination with multiple performance index scores and in combination with measured values and experimental values, so that the performance evaluation result of the air heat exchanger can be quickly and accurately determined.

The present application relates to the technical field of edge computing, in particular to a groundwater pollution monitoring method and system based on edge computing, comprising the following steps: acquiring groundwater sequence data and calculating unit time fluctuation intensity parameters, comparing threshold interval to generate sampling frequency, collecting physicochemical indexes to generate deviation value set, extracting emergency weight parameters, combining edge node residual computing power cycle to generate task scheduling strategy, collecting environmental indexes to write into deviation cumulative matrix and accumulate row by row, comparing with the set risk threshold to generate pollution risk grade. In the present application, by adaptively matching the sampling frequency according to the fluctuation intensity state, the fixed interval blind area is effectively discarded and the mutation signal is captured, the scheduling strategy is constructed by combining the multi-dimensional deviation characteristics and the node computing power to generate the scheduling strategy, the dynamic allocation and computing power balance of the task are completed on the edge side, the link congestion caused by redundant baseline transparent transmission is avoided, the pollution trend is tracked based on the cumulative matrix, and the prepositioned research and judgment are realized.

The invention provides an air monitoring and control system and method, and the system comprises a first detection module which is used for detecting a first air index related to the air in a limited space and a second air index related to the air outside the limited space; the second detection module is used for detecting environment indexes related to the environment outside the limited space; and the controller is used for comparing one or more of the first air index, the second air index and the environment index with corresponding set values, and generating and transmitting a control instruction based on a comparison result. The system can control related equipment according to the indoor and outdoor air / environment current situation, and the purposes of healthy indoor climate, pleasant, energy saving, intelligent automation, remote control and the like are achieved.

The application provides a kind of water environment multi-index data space-time field establishment and early warning method, comprising the following steps: S1, detection data acquisition: obtain environmental detection data;S2, time segmentation: based on detection time information, environmental detection data is divided in multiple time slices;S3, uniform grid construction: based on the coordinate position of all detection points, construct uniform two-dimensional space grid;S4, spatial interpolation reconstruction: environmental index rasterization space-time field is generated on two-dimensional space grid using spatial interpolation method;S4, standardization processing: based on the average and standard deviation of interpolation result calculation standardization processing, to dimensionless rasterization space-time field;S6, multivariate two-dimensional function construction: based on the dimensionless rasterization space-time field of each environmental index, construct multivariate two-dimensional function data object;S7, multivariate function principal component analysis, obtain spatial characteristic function, principal component score and variance contribution;S8, baseline modeling and anomaly detection, output abnormal early warning information.

The application discloses a kind of multi-sensor fire detection methods based on long short-term memory network and environmental information fusion.The method is when detecting fire, first using multi-sensor system continuously acquires temperature, smoke concentration, carbon monoxide concentration and carbon dioxide concentration data in environment, constructs the time series of monitoring value corresponding to environmental index;Second, based on long short-term memory network, the environmental change degree extraction module and the environmental level extraction module in the deep environmental information extraction model are constructed, with the help of long short-term memory network processing ability to long-distance dependence relationship of time series data, the change degree of environmental index and the level of environmental index are predicted;Then, using multilayer perceptron, the obtained various environmental information is fused, and comprehensive fire state information is obtained;Finally, the comprehensive fire state information value is compared with the best threshold value learned in system operation, and fire judgment is completed.

The invention discloses an extra-high voltage iron tower footing soil thickness prediction method, and relates to the technical field of extra-high voltage power grid engineering. The method comprises the following steps: two-dimensional characteristic quantitative extraction; environment index quantification sub-step: acquiring climate parameters including annual average precipitation, rainfall seasonal fluctuation coefficient and annual average wind speed; according to the method, the limitation of single data is broken through by constructing the two-dimensional features of the environmental indexes and the geological features, the cooperative influence of the environment and the geology is quantified, the multi-scale model is combined with the attention weight to adapt to the complex terrain, the soil thickness prediction precision is improved, redundant exploration work is reduced through differentiated drilling point distribution and dynamic iteration adjustment, and the prediction efficiency is improved. Meanwhile, the model has the regional self-adaptive capability, stores optimal parameters of different regions, shortens the subsequent prediction period, provides technical support for rapid and safe site selection of the tower footing of the extra-high voltage iron tower, and guarantees the engineering safety and economy from the source.

The invention relates to the field of environmental index prediction, and discloses a PM2.5 concentration prediction method based on LFformer, which can effectively capture complex factors influencing air quality and realize more accurate PM2.5 concentration prediction. The PM2.5 concentration prediction method based on the LFformer comprises the following steps: S1, carrying out data preprocessing; s2, dividing a data set; s3, constructing a model; an LFform model is adopted; the LFform model comprises N encoders and M decoders, and the N is an integer greater than or equal to 1; s4, performing PM2.5 concentration prediction on the data of the test set by using the trained LFformer model; s5, carrying out reverse normalization on the output data; and S6, calculating an error. By adopting the PM2.5 concentration prediction method based on the LFformer, the time complexity and the time mode complexity can be reduced, and the performance is improved; the data processing efficiency and the data decomposition flexibility can be improved.

The present application relates to the technical field of structural health monitoring and artificial intelligence, and discloses a steel structure corrosion prevention evaluation system based on environmental data and AI, which comprises a data sensing module, an environmental index generating module, an impact function generating module, a stress-corrosion coupling effect model constructing module, a steel structure life prediction module, a grading early warning module and a system self-learning module; the present application can quantify the corrosion impact of environmental emergencies and realize advanced early warning; for the first time, real-time stress monitoring data is directly incorporated into a corrosion life evaluation model, and the coupling effect of stress corrosion is accurately depicted; modeling and prediction are carried out for the unique environment and stress state of each specific structure, and the results are more instructive; the present application realizes the transformation from planned maintenance to condition-based maintenance, avoids waste caused by excessive maintenance, prevents risks caused by insufficient maintenance, and significantly reduces the life cycle cost.

The invention belongs to the technical field of remote sensing technology and environment monitoring, and discloses a long-time-sequence analysis method and system for a surface environment around a highway in a high-altitude cold region, and the analysis method comprises the following steps: S1, creating a buffer region, and obtaining multi-source remote sensing data and time-space auxiliary data; step S2, performing standardization treatment; s3, environment indexes, a surface water body shape index SI and a fractal dimension FD are calculated, GIS operation is carried out on data obtained through calculation, and the environment indexes comprise the surface temperature LST, the normalized vegetation index NDVI, the temperature vegetation drought index TVDI, the surface water body area SSA and the surface water body number SSN; s4, performing analysis from two dimensions of time trend and spatial distribution based on the environment index; and S5, carrying out visual display and export on an analysis result. The method can accurately reveal the space-time law of environment change, and provides scientific support for safe operation and ecological protection of highway engineering.

The invention provides a dynamic comprehensive monitoring management method and system for deep-sea culture. The method comprises the following steps: S1, parameter determination: determining natural parameters, assessment index parameters and management parameters related to a water body in a culture area; s2, a prediction model is established, wherein the prediction model comprises the change relation of the temperature T along with the time t in the breeding period Z; establishing a correlation function to obtain a fish school number, a single fish body weight and a fish total biomass related to the time t; determining the feeding amount; establishing a function relationship among the natural parameters, the management parameters and the environment index parameters, and obtaining a function relationship between the environment index parameters and time t; s3, monitoring temperature and water quality parameters in real time, and inputting the parameters into the prediction model; calculating the prediction model to obtain a change relation of assessment index parameters along with time; s4, based on the change relation of the assessment index parameters along with time, breeding management is carried out, and management parameters are adjusted.

The invention relates to a toxic waste gas diffusion monitoring method and system based on machine learning, and the method comprises the following steps: S1, collecting environment index data in real time through a gas sensor and a meteorological sensor disposed in a monitoring area, the environment index data at least comprising pollutant concentration, wind speed, wind direction, environment temperature and humidity; s2, a pollution source feature vector P = (p1, p2) is constructed based on the environmental index data collected in the step S1, p1 represents a pollutant emission intensity index calculated according to real-time monitoring data, and p2 represents a type identifier obtained based on pollutant chemical component analysis; s3, calculating a risk degree score of each monitoring point by adopting an improved entropy weight-TOPSIS comprehensive evaluation algorithm; s4, according to the risk degree score obtained through calculation, toxic waste gas diffusion early warning information is generated in combination with a double-threshold judgment mechanism, and therefore environmental pollution and safety accidents caused by toxic waste gas leakage are better prevented.

The invention discloses a multi-index evaluation method, system and equipment for an integrated energy system and a storage medium, and the method comprises the steps: firstly constructing a three-dimensional evaluation system which comprises an economic index, an environment index and a toughness index, calculating the original value of each index, and carrying out the normalization processing; secondly, comprehensively applying an optimal and worst method, an entropy weight method and a fuzzy comprehensive evaluation method to determine an index combination weight giving consideration to subjective preference and objective information; then, constructing a weighted normalized matrix based on the combined weight, and calculating Euclidean distances and relative closeness between each system and the positive and negative ideal solutions by adopting an approximate ideal solution sorting method; and finally, sorting advantages and disadvantages of all the to-be-evaluated systems according to the relative closeness. According to the method, through multi-method fusion weighting and ideal solution approximation sorting, scientific, comprehensive and comparable evaluation of the economical efficiency, the low-carbon property and the toughness of the comprehensive energy system is realized, and a reliable basis is provided for system planning and scheme optimization.

The invention relates to the technical field of structure health monitoring and artificial intelligence crossing, and discloses a steel structure anticorrosion evaluation system based on environmental data and AI. The system comprises a data sensing module, an environment index generation module, an impact function generation module, a stress-corrosion coupling effect model construction module, a steel structure service life prediction module, a grading early warning module and a system self-learning module. According to the invention, corrosion impact of environmental emergencies can be quantified, and advanced early warning is realized; real-time stress monitoring data are directly incorporated into a corrosion life evaluation model for the first time, and the stress corrosion coupling effect is accurately described; modeling and prediction are carried out for the unique environment and stress state of each specific structure, and the result has more guiding significance. According to the invention, the transformation from planned maintenance to condition-based maintenance is realized, the waste caused by excessive maintenance is avoided, the risk caused by insufficient maintenance can be prevented, and the whole life cycle cost is obviously reduced.

The invention discloses an RBF-PID (Radial Basis Function-Proportion Integration Differentiation)-based ventilation adaptive control system and method for a limited space, and the method comprises the steps: collecting the ventilation state quantity and environment index quantity of each measurement point, and carrying out the abnormality elimination and time alignment to form a synchronous sequence; constructing conservation observation according to ventilation state quantities of a main pipe inlet, an on-way and a working plane, recursively identifying an air leakage estimation quantity, and updating an effective air volume mapping model; generating a wind path topological code according to the ventilation state quantities of the two sides of the branch regulating part, estimating a branch coupling coefficient matrix on line, and generating a backward flow mark quantity according to the pressure difference symbol and the flow direction consistency; and forming an input vector by the control deviation, the air leakage estimator, the coupling coefficient matrix characteristic quantity and the backward flow marker quantity, and outputting a PID gain update quantity through a radial basis function network. Through conservation observation and topology perception driven RBF-PID cooperative control, the problems of air leakage time varying and multi-branch coupling backflow are solved, and stable, accurate and efficient adjustment of ventilation of the limited space is achieved.

The invention provides an environmental impact evaluation system, an environmental impact evaluation method, and a storage medium, which can appropriately evaluate the impact on the environment in association with a product expected by a user according to the condition of each product. An environmental impact evaluation system includes: a storage unit that stores identification information for identifying a product and associated information for the product associated with a user who uses the product, material information for the product, and manufacturing information for the product; a prediction information generation unit that generates, on the basis of material information and manufacturing information, prediction information including material prediction information of the product and manufacturing prediction information of the product, which are generated by manufacturing the product corresponding to the identification information; an environmental index calculation unit that calculates a first environmental index on the basis of prediction information including material prediction information and manufacturing prediction information; and an output unit that outputs the calculated first environmental index.

The invention discloses an optimization design method and system for a wind power plant road and a fan platform, and the method comprises the steps: firstly obtaining engineering data and a to-be-designed scheme, building a multi-objective optimization model based on the engineering data and the to-be-designed scheme, the multi-objective optimization model comprises an engineering cost model, a comprehensive environmental influence index model and an engineering complexity model, and the comprehensive environmental influence index model is used for identifying the comprehensive influence of various environmental indexes on the ecological environment. Microscopic regulation and control can be carried out on implementation details of a to-be-designed scheme through an engineering cost model and an engineering complexity model, comprehensive evaluation is carried out on the influence of the ecological environment in combination with a comprehensive environment influence index model, and then an optimal design scheme is obtained by solving a multi-objective optimization model. And the balance between the microscopic design and ecological protection of the engineering is realized.

This allows for a simple determination of the severity of the working environment for tasks performed using work equipment. [Solution] The work management method includes determining an evaluation value that represents the ratio of the speed of the target work device 30 performing work in the field 500 to the engine load. The work management method also includes determining the position of the evaluation value as an environmental index representing the severity of the working environment for the target work device 30, relative to an overall distribution representing the distribution of the ratio of the speed to the engine load for multiple work devices 30 having the same type as the target work device 30. Determining the evaluation value may also include determining the ratio of the speed statistics, which represent the statistical value of the speed of the target work device 30 during the first period, to the rotational speed statistics, which represent the statistical value of the engine load, as the evaluation value.

Provided is design support technology capable of evaluating environmental performance over the entire life cycle of a product.　The design support system includes: a storage unit that stores component configuration information of a product, substitute component information, usage scenario information defining a usage scenario of the product, regulatory information stipulating regulations relating to the product, improvement item information including improvement items for an environmental index of the product, and constraint condition information to be satisfied by the product; an improvement item specifying unit that specifies a target value of the environmental index to be satisfied through the life cycle of the product in accordance with at least one of the usage scenario, the regulations, and the improvement items; a substitute component specifying unit that specifies one or more substitute components that can be substituted for while satisfying the constraint conditions; a calculating unit that identifies a predicted value of the environmental index of the substituted product; and an output unit that outputs a substitute component with which the predicted value of the environmental index is superior to a target value.

The application discloses a kind of power supply network fire intelligent prevention and control and operation optimization method and system, temperature, humidity and smoke concentration data are collected in real time by sensor network, generate comprehensive environmental index data stream, and get fire early signal by abnormality judgment;Call medium selection model, by querying environmental protection medium and insulation characteristic parameter library and matching calculation based on equipment type, output best environmental protection insulation medium and its release parameter;Utilize response speed optimization algorithm to generate accurate release instruction sequence containing release path, dose and timing;Control medium atomization device to release medium according to instruction synchronously;Collect equipment protection and power supply continuity data, carry out risk assessment to generate efficiency index, and update prevention and control strategy library to optimize subsequent decision.The application realizes fast and accurate fire extinguishing while guaranteeing power supply continuity and equipment safety to the maximum by intelligent decision and closed-loop optimization, and completes the change from post-disaster disposal to operation level prevention and control.

According to the aforementioned means for solving the problem of the present disclosure, by sensing the internal state of a reference object having the same or similar physical properties as the object, the effect of more precisely estimating the temperature deviation and moisture change state occurring inside the object is provided, unlike conventional technology that relied on simple air temperature and humidity values. Furthermore, according to the aforementioned means for solving the problem of the present disclosure, by calculating a plurality of preservation environment indices and analyzing them integrally, the effect of quantifying the risk of physical deformation, the possibility of chemical deterioration, and the risk of biological contamination individually or comprehensively is provided. Accordingly, unlike methods that relied on a single environmental reference value, it enables precise risk assessment reflecting complex factors.

The invention belongs to the technical field of surface environment monitoring, and discloses a surface environment dynamic monitoring evaluation method and system after outburst of a plateau permafrost region lake, and the evaluation method comprises the following steps: S1, obtaining long-time-sequence multi-source remote sensing data before and after outburst of a covering target drainage basin, and then carrying out the standardization preprocessing; s2, sampling points are selected in the drainage basin boundary, the environmental indexes of all seasons are calculated, and the environmental indexes comprise LST, NDVI and TVDI; s3, center-of-gravity migration and direction distribution of the LST, the NDVI and the TVDI are obtained; s4, determining frozen soil response key factors, calculating a ground temperature response index, an active layer response index, a ground temperature actual measurement response amount and an active layer actual measurement response amount of the frozen soil response key factors, and judging the frozen soil response type of the area; and step S5, performing visual output. According to the method, the environmental difference caused by surface water change after the lake outburst in the permafrost region can be accurately identified, and scientific support is provided for ecological restoration and frozen soil protection in the plateau frozen soil region.