48 results about "Environment effect" patented technology

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.

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 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 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.

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.

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

The application discloses a smart property management system based on an Internet of Things platform and relates to the technical field of property management; the environment evaluation time interval is preset, the environment evaluation index is obtained by analyzing the environment influence parameters of each public area, the environment condition is converted into an intuitive numerical index, and the quality of the regional environment is conveniently and quickly judged by the property personnel; meanwhile, the abnormal public area can be quickly screened out by setting the reference threshold index, the visualization and precision of the environment management are realized, the property has a basis for decision-making in the environment management, once the abnormal public area is found, the air purification equipment is immediately started, and the evaluation effect is continuously monitored, if the purification measure effect is not good, the air purification equipment condition is further analyzed, the maintenance personnel is accurately dispatched or the property management personnel is informed, a closed-loop management mechanism of active response, continuous monitoring and optimization adjustment is formed, and the continuous good of the environment quality of the public area is effectively ensured.

The invention relates to the technical field of construction, and discloses a construction site data acquisition method and system, and the method comprises the steps: obtaining environment impact factors through an environment state evaluation module based on rainfall, vibration intensity and pore water pressure; obtaining a consequence influence factor through a consequence influence evaluation module based on the number of influence municipal roads and high-risk pipelines; geometric risk factors are obtained based on the slope gradient and height through a body stability evaluation module; acquiring a displacement-creep matching coefficient based on the displacement rate and the creep rate through a displacement-creep matching degree evaluation module; and finally, dynamically adjusting a three-dimensional laser scanning period based on the geometric risk factor and the displacement-creep matching coefficient through an acquisition period regulation and control module. According to the method, the problem that the data acquisition frequency is not matched with the risk level in a traditional monitoring method is solved, optimal configuration of monitoring resources is realized, and the system efficiency is remarkably improved while the monitoring effect is ensured.

The invention discloses a production and environment data fusion and cooperative control method and system, and relates to the field of industrial informatization and intelligent manufacturing. According to the method, production execution data and environment monitoring data are collected, and a unified data structure is constructed; calculating a spatial correlation degree according to a workshop topological structure, determining a monitoring point set and a weight coefficient, and calculating a representative environment parameter value based on a time window; fusing the process parameters and the environment parameters to form a data set; environment influence factors and process response factors are extracted, an incidence matrix is constructed, a constraint function is established, a process parameter value range is determined, and a constraint rule is generated; environmental parameters are monitored in real time, constraint rules are triggered when threshold values are exceeded, adjustment values are calculated, a scheme is generated, and automatic parameter adjustment is achieved. According to the method, the environmental factors are used as constraint conditions for production scheduling and process parameter setting, and the production efficiency is optimized on the premise of environment compliance.

The invention discloses a comprehensive evaluation method for a water treatment membrane product. The method comprises the following steps: determining an environment dimension index and a resource dimension index; for each index, calculating a first weight through an improved fuzzy analytic hierarchy process, and calculating a second weight through an improved entropy weight method; calculating a final weight corresponding to each index according to the first weight and the second weight; and sorting the evaluation objects through an improved TOPSIS-gray correlation analysis sorting method based on the final weight corresponding to each index. According to the method, a full-dimension quantitative evaluation membrane product system covering resource consumption, carbon emission and environmental influence is constructed, so that the production process flow and the energy consumption structure can be systematically optimized, and the own membrane product is energized and remarkable added value is created.

A set of data pipelines that are each configured to determine environmental impact indicators of a respective type across multiple food products based on source data from multiple different database tables, including a first data pipeline for determining ingredient-level environmental impact indicators, a second data pipeline for determining resource-level environmental impact indicators, and a third data pipeline for determining logistics-level environmental impact indicators.

The invention provides an intelligent sofa temperature control method and system based on environmental perception, and relates to the technical field of temperature control, and the method comprises the steps: obtaining temperature change data of sofa environmental perception, carrying out temperature change combination analysis and type adjustment influence analysis, obtaining a type interference coefficient, and determining type interference weight data; performing change direction influence combination synchronism analysis and judgment on the type interference coefficient to obtain combination influence direction judgment information; acquiring updated category weight change data, and further determining a category interference adjustment coefficient; carrying out temperature control adjustment analysis, and then carrying out temperature control processing to obtain temperature control processing data; difference value change fluctuation analysis is carried out on the temperature control processing data and the preset target contact surface temperature, change collection monitoring frequency adjustment is carried out according to the fluctuation analysis result, then temperature control adjustment data are updated, and accurate temperature control adjustment is carried out on the sofa influenced by the environment.

The application provides a model maintenance device for simulating the real environment of an arch dam and a use method thereof. The design idea of the model maintenance device is simple and clear. The upstream and downstream of a related scale model of the arch dam are separated by a glass partition in a closed space, and water is added in the upstream and downstream respectively, so that the scientific research purpose of considering the real environment influence in the laboratory is achieved by realizing the scale model test of the arch dam structure, and the defect that the existing scale model of the arch dam cannot consider the environmental action is filled. The overall structure of the model maintenance device is simple, the installation is convenient, the use method is easy to operate, the overall transportation is convenient, and the model maintenance device can be combined with an environmental box for use, so that the authenticity of the environmental simulation is further enhanced. Finally, the application can provide the environmental action of simulating the static water pressure, dry-wet cycle, freeze-thaw cycle and long-term immersion, and has important role and significance for improving the reliability of the test results of the scale model of the arch dam.

The invention discloses a wind tunnel wind speed control method and system with environment compensation. The method comprises the steps that the target wind speed of a wind tunnel is set; collecting dynamic environment parameters of the wind tunnel, wherein the dynamic environment parameters comprise dynamic environment temperature and dynamic environment humidity; acquiring a compensation coefficient based on the dynamic environment parameters; the dynamic wind speed of the wind tunnel is collected, and the compensation wind speed is obtained based on the compensation coefficient and the dynamic wind speed; and controlling the wind speed of the wind tunnel based on the target wind speed and the compensation wind speed. According to the wind tunnel wind speed control method and system with environmental compensation, environmental parameters such as temperature, humidity and air pressure in the wind tunnel are collected in real time, the environmental effect can be corrected in real time, and the measurement precision is improved. According to the wind tunnel wind speed control system with environment compensation, wind speed measurement, environment compensation, sectional PID control and gesture recognition are integrated in the same platform, and an intelligent closed-loop wind tunnel control system is achieved.

The present disclosure relates to the field of sustainable production of end products, in particular to monitoring of environmental effects associated with use of end products by an end product user. The present disclosure relates to methods, apparatus, signature modules, decentralized network nodes, output products and computer elements for monitoring and / or determining environmental impact associated with an output product user using an output product, particularly an end product.

The present disclosure relates to the field of sustainable production of end products, in particular to reducing and / or monitoring environmental impact associated with use of end products by a user. The present disclosure relates to methods, apparatus, signature modules, and computer elements for reducing and / or monitoring environmental effects associated with an end product user using an end product, where the end product is associated with environmental footprint data determined at least in part as a function of a measured carbon content of the end product.