92 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 relates to a street tree planting position planning method and system, a storage medium and an intelligent terminal, and relates to the field of municipal garden engineering. Dividing the lane environment diagram to obtain segmented environment diagrams; numbering to obtain a segmented environment diagram number, and defining an initial segmented environment diagram number; randomly selecting a pre-initial planting coordinate; determining pre-planting coordinates; analyzing the environment influence result of the pre-initial planting coordinate and the pre-planting coordinate based on the walkway environment map; when the environment influence result is an abnormal result, re-selecting the pre-initial planting coordinate and the pre-planting coordinate; the target planting coordinates are defined and output when the environmental influence results are all normal results, the method has the advantages that the whole street is divided into uniform equal parts, then whether the coordinate points meet the requirements or not is checked, accordingly, the positions of the tree pits in the street are determined, and the reasonability and automation effect of street tree position design is improved.

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 provides an Internet-based environment evaluation method and system, and the method comprises the steps: judging whether an environment detection terminal carries out the effective detection of a target region or not based on the detection feature information of the environment detection terminal for the target region, and enabling the environment detection terminal which carries out the effective detection to be connected to the Internet; according to the method, environment detection data generated by all environment detection terminals accessing the Internet is divided into a plurality of sub-region environment detection data sets, sub-region environment change trend information is obtained through analysis, partition environment detection and recognition are performed on a target region, and global refined environment change trend prediction of the target region is realized; based on the personnel activity feature information and the sub-region environment change trend information of the corresponding sub-region in the target region, the analysis and evaluation of the environmental influence on the personnel activity and the early warning of the environmental influence are carried out, the Internet is fully utilized to carry out linkage environment detection and evaluation on the target region, and the globality and reliability of the environment evaluation are 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 present invention relates to the technical field of environmental assessment, and discloses a multi-dimensional and multi-granularity environmental impact assessment method for ecological sensitive areas. The method includes: constructing an environmental assessment index system for ecological sensitive areas, collecting index data according to the index system and performing preprocessing; improving the data quality of the preprocessed index data; performing multi-level filtering on the enhanced index data to obtain the filtered key index data; and using the environmental assessment model for ecological sensitive areas to receive the key index data and conduct environmental impact assessment. The present invention selects multi-granularity environmental assessment indicators for ecological sensitive areas from multiple dimensions such as pollution control, ecological environment, resource environment, environmental planning, and environmental quality of ecological regions, sequentially performs cleaning of abnormal data and cleaning of redundant or non-critical indicators on the index data, and performs convolution, mapping, and correction processing on the cleaning results to obtain an environmental impact assessment result representing the ecological sensitivity of the region.

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 present invention belongs to the field of task execution environment evaluation, and particularly relates to a method and system for comprehensively evaluating the environmental cost of a task plan based on spatio-temporal voxels. A spatio-temporal comprehensive environmental impact model for describing the laws of spatio-temporal environmental impact for tasks is constructed in a spatio-temporal coordinate system; the spatio-temporal comprehensive environmental impact model is rasterized to construct spatio-temporal voxels, and the spatio-temporal trajectory during the execution of the task plan is obtained through trajectory tracking. The comprehensive environmental cost of the task plan is calculated according to the occurrence and accumulation laws of the cost of the spatio-temporal voxels passed through. By constructing a comprehensive environmental impact model based on spatio-temporal voxels, the present invention extends the time dimension on the basis of the spatial cost law of the task environment to realize the situation of continuous change in time at any point in space, can reflect the impacts of various factors of time and space on the task, comprehensively and reasonably realizes the spatio-temporal environmental evaluation of the task plan, and the analysis principle is close to the actual situation, having a good application prospect.

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 environmental impact evaluation. The invention specifically discloses a functional service area ecological benefit assessment method and device. According to the method, the SWMM model and the InVEST model are combined, a comprehensive evaluation framework can be provided, the weights of the evaluation indexes are calculated through the combination of the analytic hierarchy process and the entropy weight method, the accuracy and reliability of the evaluation result can be improved, expert opinions are considered, actual data are utilized, the importance of all the indexes is considered, and the evaluation efficiency is improved. According to the invention, the method considers their performance in the actual environment, and can be adjusted according to the characteristics and demands of different service areas, thereby providing a comprehensive service area ecological benefit assessment, providing scientific basis for policy formulators and managers, helping them to understand the ecological benefits of different service areas, and making more reasonable decisions accordingly.

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.

An automatic audio calibration method and system for an audio system in a room. The method captures video of a room using a camera. The method also retrieves, using the processor, environmental information and listener information from the video; estimating an environmental impact in the sound field at the listener based on the environmental information and the listener information; and generating a compensation filter for the audio system to compensate for the estimated environmental impact.

To appropriately determine an operation condition by considering a levy imposed according to an environmental load.SOLUTION: The present application relates to an operation condition determination device for determining an operation condition including a plurality of resources to be used for an object manufacturing process. The device acquires candidate resource information including an environmental index associated with a levy to be specified in accordance with a purchase cost and an environmental load about multiple candidate resources that are selectable as the resources, and calculates an actual cost obtained by adding the levy to the purchase cost about each candidate resource on the basis of the candidate resource information. Also, the device calculates the total cost obtained by totaling the actual cost for each combination of the candidate resources, and determines an operation condition by performing comparison on the basis of a determination reference.SELECTED DRAWING: Figure 1

The present invention discloses an automatic environmental impact assessment method for environmental engineering construction based on environmental protection, which relates to the field of environmental protection technology. The method includes analyzing and processing the complete construction area of ​​the environmental engineering project based on a microcontroller to obtain the actual shortest diffusion distance of the environmental engineering construction. The present invention first uses an unmanned aerial vehicle to collect real-time construction images of the environmental engineering project and images of the complete construction area of ​​the environmental engineering project. Then, the real-time construction images of the environmental engineering project and the images of the complete construction area of ​​the environmental engineering project are analyzed to determine the shortest diffusion distance of the environmental engineering construction. Then, by analyzing the shortest diffusion distance of the environmental engineering construction, an environmental engineering construction impact factor is obtained. Finally, the environmental engineering construction impact factor is analyzed and judged to determine the impact of the environmental engineering construction on the surrounding environment, and whether the specific construction method of the environmental engineering needs to be adjusted. This reduces the impact of the environmental engineering construction on the surrounding environment and also reduces the impact of the environmental engineering construction on the daily lives of surrounding residents.