67 results about "Environment effect" patented technology

The invention relates to an ecological environment inspection and detection information management method and system based on artificial intelligence, and the method comprises the following steps: carrying out the inspection and detection of water quality, air and soil samples collected by an ecological environment monitoring station, and obtaining environment detection data; performing environmental element association calculation based on the data to obtain element association data, and generating an environmental element distribution diagram through spatial-temporal distribution mapping; tracking a pollutant migration rule by using the distribution map, extracting pollutant migration characteristic data, and carrying out environmental impact assessment according to the pollutant migration characteristic data to form an environmental impact assessment report; according to the method, the monitoring area is subjected to risk distribution division according to the report, area environment risk distribution data is obtained, a targeted ecological environment management scheme is generated based on the data, and the technical problems that in the prior art, an effective correlation analysis means is lacked, and migration and transformation rules of pollutants among different media are difficult to reveal are solved.

A computing platform is configured to (1) extract first, second, third, fourth, and fifth source datasets from a first database containing data about a set of product-level ingredients, a second database containing data about food products, a third database containing data about manufacturing plants, a fourth database containing data about ingredient source locations, and a fifth database containing data about ingredient transportation modes, respectively, (2) merge the first, second, third, fourth, and fifth source datasets into a first merged dataset, (3) update the first merged dataset by inserting a column representing distance measurements between source locations and plant locations for product-level ingredients, (4) extract a sixth source dataset from a sixth database containing environmental-impact values for ingredients, (5) merge the updated first merged dataset and the sixth source dataset into a second merged dataset, and (6) determine a group of environmental-impact indicators for each product-level ingredient in the set.

The invention discloses a degradable plastic modification enhanced biodegradability system, which relates to the technical field of pollution abatement, and comprises an environmental data analysis module, a degradation factor modeling module, a scheme matching engine module and an intelligent recommendation module, the environment data analysis module is used for acquiring and processing environment data of a target region, analyzing degradation scenes related to the region and outputting a comprehensive environment feature vector of the region; and the degradation factor modeling module is electrically connected with the environmental data analysis module. According to the degradable plastic modification enhanced biodegradability system provided by the invention, through integration of multi-source environmental data and implementation of deep analysis, dominant degradation scenes and key environmental influence factors in different regions can be accurately identified, the problems of incomplete environmental feature extraction and fuzzy scene discrimination in a traditional method are effectively solved, and the method is suitable for popularization and application. The system utilizes a coupling dynamic model, and the scientificity and pertinence of degradation scheme design are remarkably improved.

The invention relates to the technical field of environmental governance, in particular to an environmental responsibility division method and system for a major project, and the method comprises the steps: obtaining the behavior data of each participant of the major project and the environmental monitoring data of a to-be-divided region; performing association integration on the behavior data and the environment monitoring data to obtain an initial data set; and constructing a multi-element driving effect model, identifying driving factors influencing the environmental quality based on the initial data set, inputting the driving factors into the multi-element driving effect model for correlation analysis, and calculating the contribution degree of each driving factor to the environmental influence to obtain a driving contribution matrix. According to the method, through division of the full life cycle stages and tracking of the behavior change trend, it is ensured that the environmental influence of each stage of the engineering project is comprehensively analyzed, key nodes and risk points of each stage can be determined, and a basis is provided for formulating environmental protection measures and responsibility undertaking schemes.

Computer implementation methods and systems for controlling and / or monitoring the production of chemical products having specific environmental impacts are disclosed, and the methods are - The step of receiving a request or order indicating the chemical product, the desired quantity of the chemical product, and the desired environmental impact of the chemical product, - A step of determining the domestic and / or foreign locations of one or more underlying chemical input materials necessary for the production of the required chemical product in order to meet the required quantity and desired environmental impact, - A step of collecting environmental impact attributes from a database that correspond to the desired environmental impacts required for the production of the requested chemical product, based on the determined domestic and / or international locations of the required chemical input materials. - The step of receiving the chemical inputs necessary for the production of the requested chemical product from a determined domestic and / or foreign location, -Includes the step of removing environmental impact attributes of chemical input materials received from domestic and / or foreign locations from the database.

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 invention discloses a sheep house environment monitoring method based on sensor layout optimization and data fusion, and the method comprises a sensor layout optimization stage S1 and a data fusion evaluation stage S2, and the sensor layout optimization stage S1 comprises the following steps: S101, building a three-dimensional model based on the structure of a target sheep house, and carrying out CFD fluid simulation, obtaining a spatial distribution simulation diagram of internal environment parameters of the sheep house, and preliminarily analyzing parameter distribution characteristics; s102, a plurality of sensor candidate point positions are preset in the horizontal dimension and the vertical dimension according to the CFD simulation result, the symmetry of the sheep house building structure and the influence of the external environment; the invention belongs to the technical field of sheep house environment monitoring, and particularly relates to a sheep house environment monitoring method based on sensor layout optimization and data fusion, which ensures that the monitoring effect that the whole sheep house space environment state can be best represented is achieved by using the minimum number of sensors.

The disclosure relates to the field of sustainable industrialization, in particular the monitoring of environmental impact in the production process of mixtures and products produced by using such mixtures. The disclosure relates to methods, apparatuses, and computer elements for determining input environmental property data of input materials used to produce mixtures and to generate environmental property data associated with the produced mixtures based on the determined input environmental property data.

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.

A computing platform is configured to (1) extract first and second source datasets from a first database containing data about food products and a second database containing data about manufacturing processes, respectively, (2) merge the first and second source datasets into a first merged dataset, (3) generate an updated dataset including (i) rows representing data records for a set of product-level resources and (ii) columns representing data variables that provide information about the set of product-level resources, (4) extract third, fourth, and fifth source datasets from a third database containing data about resource types, a fourth source database containing data about manufacturing plants, and a fifth source database containing environmental-impact values for types of resources, respectively, (6) merge the updated dataset and the third, fourth, and fifth source datasets into a second merged dataset, and (7) determine a group of environmental-impact indicators for each product-level resource in the set.

A computing platform is configured to (1) extract a first source dataset from a first database containing data about a set of product-level ingredients, (2) extract a second source dataset from a second database containing data about food products, (3) merge the first and second source datasets into a first merged dataset, (4) update the first merged dataset by inserting a column representing a data variable that, for each product-level ingredient in the set, provides a respective dry mass measurement of the respective product-level ingredient within a corresponding food product in which the respective product-level ingredient is included, (5) extract a third source dataset from a third database containing environmental-impact values for ingredients, (6) merge the updated first merged dataset and the third source dataset into a second merged dataset, and (7) determine a group of environmental-impact indicators for each product-level ingredient in the set using the second merged dataset.

The invention provides an incineration plant environment data processing method and system based on edge computing, and the method comprises the steps: collecting environment sensing data, such as gas components, temperature distribution and particle concentration, through environment sensing equipment disposed in each functional region of an incineration plant, and then carrying out the regional feature extraction of the environment sensing data; generating a regional environment feature set of each functional region, then performing cross-regional sharing and association analysis, identifying an environment influence association relationship among different functional regions, constructing an environment risk propagation path model according to the environment influence association relationship, and predicting an environment parameter change trend of each functional region. And finally, generating an incineration equipment control instruction according to the change trend of the environmental parameters of each functional area, and transmitting the incineration equipment control instruction to a corresponding execution mechanism, thereby realizing comprehensive processing of the environmental data of the incineration plant and intelligent control of equipment, and improving the operation efficiency and the environmental safety.

The application provides a facility environment multi-step prediction method and system based on pooling attention, which is trained based on environmental influence factor data and historical data of environmental parameters in a livestock and poultry house, and a prediction model based on pooling attention is established; a plurality of environmental influence factor data and environmental parameters in the house obtained from a starting time T1 to an ending time T2 are encoded by using the prediction model to obtain a hidden state vector; a non-stable jump feature in the environmental parameters in the house is extracted by using a pooling attention module to obtain an attention matrix; and the attention matrix and the hidden state vector are subjected to feature fusion decoding, and the decoded output is mapped to the environmental parameters in the house to be predicted. The method fully utilizes the information of the multi-variable time series data of the poultry house for modeling, realizes multi-step prediction from the feature angle of different dimensions of the sequence, and has a significant improvement in accuracy in a medium and long term time series prediction task.

A method of training a reinforcement learning agent to output actions from a continuous action space, comprising: providing an actor ensemble that includes a plurality of actor neural networks that each output a respective action from the continuous action space in response to an observed state of an environment; providing a critic neural network that approximates a state-action value function indicating an impact of an action on the environment based on a reward from the environment and the observed state of the environment; training the actor ensemble and the critic neural network to maximize a state-action value from the state-action value function over successive time steps by, in each time step: selecting from the respective actions output by the plurality of actor neural networks the action that will provide a best state-action value from the state-action value function; applying the selected action to the environment; based on an observed state of the environment of in response to the selected action, determine a gradient ascent for the plurality of actor neural networks for updating the parameters of the plurality of actor neural networks and determine a gradient descent for the critic neural network for updating the parameters of the critic neural network.

We provide the system. [Solution] A means of receiving environmental improvement action data from users, A means of analyzing received behavioral data and quantifying its impact on the environment, A method using a generation algorithm that simulates future environmental conditions based on the analysis results, A means of visually displaying the generated future environmental state, A means of providing feedback to the user based on the simulation results, A system that includes this.

The invention discloses a vehicle tire wear environment influence quantitative evaluation method. The method comprises the following steps: step 1, data acquisition and preprocessing; 2, predicting the abrasion loss of the tire; step 3, constructing an environmental influence calculation module to carry out environmental influence calculation; 4, a comprehensive environment influence index scoring system is established, and dynamic quantitative evaluation of tire wear on carbon footprint and particle pollution is achieved by fusing vehicle operation data, tire characteristics and an environment model. The system can collect and analyze vehicle driving data in real time, accurately predict tire wear conditions, and convert the tire wear conditions into specific environmental influences, thereby providing personalized and quantifiable environmental protection evaluation results for users. The method not only can improve the accuracy and timeliness of evaluation, but also can provide a scientific basis for the user to help the user to make a more appropriate environmental protection choice.

Example embodiments provide an additive manufacturing (AM) compensation system comprising a sensor suite, a controller unit, and an AM device. The sensor suite may be configured to measure ambient conditions through the use of at least one sensing element. The controller unit may be configured to receive the measured ambient conditions and generate adjusted AM data corresponding to a build in response to the measured ambient conditions, the controller comprising a ruleset comparison unit, a machine instruction buffer, and machine instructions for the build. The AM device may be configured to receive the adjusted AM data and manufacturing the build based on the adjusted AM data.

The invention discloses a new energy storage remote monitoring system based on cloud computing, and relates to the technical field of energy storage, and the system comprises a remote monitoring module, an environment early warning module, a data acquisition module, a health assessment module and a control module. Remote real-time monitoring is carried out on the environment state of the distributed energy storage equipment, an environment influence coefficient Xhj is constructed, and when the environment influence coefficient Xhj exceeds an influence threshold value Y, a health analysis instruction is sent out; after an instruction is received, the instantaneous current state in the charging and discharging process of the equipment is monitored in real time, the collected related operation state information data and related internal environment state information are analyzed, the comprehensive health assessment index Zjk is obtained through fitting in combination with the environment influence coefficient Xhj, and after comparison, a control instruction of a corresponding grade is generated and executed. Therefore, efficient operation of energy storage equipment is ensured and the service life is prolonged.

The application discloses a kind of free calibration sensing system environment compensation methods, comprising: constructing measurement matrix and environment matrix;Real value vector and influence coefficient matrix are solved by least residual method;Compensation after calculating measured value matrix;Reliability inspection;And when inspection passes, the real value vector of influence coefficient matrix calculated by having been obtained is followed.This application another aspect discloses a kind of free calibration sensing system environment compensation measurement system, including measurement sensing device, calculation verification unit and environmental variable monitoring device, measurement sensing device and environmental variable monitoring device are in a preset time window and are measured multiple times synchronously, and calculation verification unit includes compensation module and verification evaluation module.The sensing system environment compensation method of the application does not need to be calibrated in advance in fixed environment, and environmental influence coefficient can be dynamically estimated by real-time measurement data and real-time dynamic compensation is carried out.

The application discloses a public space social behavior and environment influence recognition method based on a perception device network, and comprises the following steps: public space area selection, measuring point layout and perception device distribution, public space physical environment monitoring, public space social behavior recognition, behavior environment index influence analysis, influence rating and output; the application is based on the perception device network layout, monitors the public space physical environment through the environment perception device, recognizes the public space social behavior through the behavior perception device, and comprehensively analyzes the influence relationship between the environment index and the behavior index, performs influence degree sorting and output, and the application can be used for recognizing the behavior environment influence relationship in the city intelligent perception field, and helps to create more efficient and comfortable city public spaces.

The invention relates to the technical field of electric energy metering dynamic compensation, in particular to a self-adaptive electric energy metering algorithm and system based on dynamic environment compensation, and the method comprises the steps: constructing a historical electric energy metering error sequence and an environment feature sequence, selecting a target environment factor, dividing the target environment factor, and obtaining different sequence segments; clustering the sequence segments, constructing an evaluation function according to the error distribution of each cluster after clustering, obtaining an optimal target environment factor and a division result thereof according to the evaluation function, constructing a metering error prediction model according to the optimal result, and predicting the metering error in real time after training is completed. By calculating the optimal environmental influence factor and the optimal division, the method has the effect of improving the metering error prediction accuracy.

Embodiments of the present application relate to a method, device, vehicle, and electronic device for controlling a space isolation device. The method includes: in response to triggering an automatic closing operation for the space isolation device, determining a current environmental detection value of a target space and obtaining a preset expected impact noise amount; determining an environmental impact amount corresponding to the current environmental detection value based on preset first noise impact relationship information; determining a noise difference between the expected impact noise amount and the environmental impact amount; determining a target closing speed control amount corresponding to the noise difference based on preset second noise impact relationship information; determining a closing degree of the space isolation device in real time; and in response to the closing degree reaching a preset degree, controlling the space isolation device to close based on the target closing speed control amount. Embodiments of the present application minimize the impact of environmental factors on impact noise to the greatest extent possible, so that impact noise can be limited to a certain degree under various environmental conditions.

The invention provides an automatic driving motion decision-making method fusing environment features and a space attention mechanism. The method is mainly divided into the following three parts: firstly, acquiring environment information, and generating an environment feature vector after encoding processing; the method comprises the following steps: acquiring original state information of traffic participants, constructing an environmental impact factor based on environmental information, correcting kinematic characteristics in the original state information, and further constructing a unified state tensor; secondly, inputting the state tensor into a space attention network, improving the attention capability on a key target, obtaining a processed state vector, and inputting the processed state vector into a dual-depth network; finally, on the basis of the corrected vehicle kinematics parameters, a reward function fusing efficiency, comfort and safety is constructed, different environment types are divided on the basis of environment feature vectors, the weight of each dimension of each environment type is calibrated, and the total return is calculated through weighted summation; and finally, realizing efficient and reliable automatic driving motion decisions in different environments based on a dual-depth network architecture.

An automated checkout system applies environmental effects to physical regions within a store. The automated checkout system logs the environmental effect, a time the environmental effect was applied, and the physical region to which the environmental effect was applied. The automated checkout system detects an interaction event and logs a time associated with the interaction event. The automated checkout system identifies a location of the automated shopping cart and identifies a physical region within the store that contains the automated shopping cart's location. The automated checkout system identifies the environmental effect that was applied to the physical region at the time of the interaction event and generates a data point. For each environmental effect, the automated checkout system computes a success metric based on the generated data points. The automated checkout system applies environmental effects to physical regions based on the success metrics.

The present invention relates to the field of sustainability, in particular environmental impact monitoring of output materials produced by chemical production networks. The present invention relates to a method for monitoring an environmental property of an output material produced by a chemical production network, an output material associated with the environmental property and the use of the environmental property.

A procedure (900) that includes the following: Providing (905, 907, 909) a media data set (210) comprising media content data (211) and environment effect metadata (113) that define a set of environment events (231-233), each corresponding to a media timestamp (221-223) of a plurality of media timestamps; and for each environmental event (231 - 233) in the set environmental events, Identifying (911) a protocol timestamp (252) for a communication protocol, wherein the protocol timestamp (252) corresponds to the media timestamp (221 - 223) of the environment event (231 - 233), Generating (917) a message (250) for transmission according to the communication protocol, wherein the message (250) associates the environment event (260) with the protocol timestamp (252), and Addressing (919) the message (250) to one or more environment effect generators (141 - 145), characterized in that the method (900) further includes the following: for each environment effect generator (141-145) of the one or more environment effect generators, storing (901) an orientation of the environment effect generator (141-145), wherein the orientation of the environment effect generator (141-145) includes a position of the environment effect generator (141-145) and a direction of the environment effect generator (141-145); for each environment event (231-233) in the set of environment events, identifying (913) a subset of the environment effect generators (141-145) for generating the environment event (231-233) based on the orientation of the environment event (231-233) and an orientation of each environment effect generator (141-145) in the one or more environment effect generators; and for each environmental effect generator (141 - 145) in the subset: Computation (915) of a set of one or more instructions (261 – 263) for generating the environment event (231 - 233) in conjunction with other environment effect generators (141 - 145) in the subset based on the orientation of the environment effect generator (141 - 145) and the orientation of the environment event (231 - 233), and Transfer (921) the set of one or more instructions (261 - 263) to the environment effect generator (141 - 145).

The invention provides a model-based aviation equipment environmental adaptability demand analysis method, and the method comprises the steps: building an equipment environment information model library based on an environment profile in an equipment life period and an environmental factor influence effect, and achieving the modeling of an environmental adaptability analysis basic database; the method comprises the following steps: determining environmental profiles and environmental factor influence effects under different use scenes and use areas according to the use scenes of equipment, and establishing an environmental adaptability analysis database, namely incorporating airport environment data expected to be experienced by a helicopter into an environmental profile model; establishing an environment adaptability analysis model, and comparing and analyzing the environment data of each airport experienced in the task scene to form typical environment condition requirements of the helicopter; according to the classification of the environmental conditions, environmental condition requirements and environmental influence effects are integrated, and an environmental adaptability demand analysis form is generated and comprises design requirements and verification requirements. The environmental adaptability demand obtained by the method is more comprehensive and more accurate.

A resist underlayer film-forming composition containing a first component and a solvent, in which the first component has an aromatic ring, at least one oxygen atom directly bonded to the aromatic ring by a single bond, and at least one hydroxy group other than a phenolic hydroxy group, and the solvent contains water in an amount of 50 mass% or more based on the solvent.

Hardware configuration and design based on environmental impact, including: receiving data encoding a system design comprising a plurality of components; calculating, based on the data, one or more environmental impact metrics; and validating the system design by comparing the one or more environmental impact metrics to one or more corresponding thresholds.

The application discloses a high-precision quantitative pipetting gun applied to biological medicine tests and detection, relates to the technical field of being applied to biological medicine tests and detection, and comprises an environment information acquisition module, an environment influence analysis module, a spring basic information acquisition module, a spring influence analysis module, a liquid suction information analysis and operation module, a pipetting gun image acquisition module, a pipetting effect analysis module and secondary pipetting control. Through analysis of environment influence factors of the pipetting gun, the most suitable required environment is obtained, and spring influence factors of the pipetting gun are split and screened, so that the defects in the prior art are solved, automatic and intelligent pipetting operation of the pipetting gun is realized, the accuracy of pipetting is guaranteed, the experience of users is improved, the test efficiency is improved, and the reputation of the pipetting gun is improved to a certain extent.