153 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.

The invention discloses a green design method and system for electronic and electrical products, and aims to reduce environmental burden through multi-dimensional optimization. The method comprises the following steps: firstly, establishing a function environment influence matrix, associating each function of a product with an environment influence factor, and evaluating the influence of the function on the environment; based on the user experience evaluation, core functions are identified and non-core functions are optimized or reduced, thereby reducing the overall environmental burden. According to the design method, by further selecting environment-friendly materials, designing a modular structure and utilizing iterative optimization calculation, collaborative optimization of material use and structural design is achieved, the material use amount is reduced, and the product recoverability is improved. And meanwhile, parts which are easy to age or damage are designed into independent modules which are easy to replace, so that the service life of the product is prolonged. In addition, a product integrated environment sensor monitors the use environment in real time, performance parameters are dynamically adjusted according to environment data and a functional environment influence matrix, and continuous optimization is achieved through remote firmware updating.

The invention relates to the technical field of environmental supervision, in particular to a tailing pond classification and grading method based on environmental supervision, which comprises the following steps: identifying leaching rules and environmental influences of specific pollutants of differentiated tailing types, capturing geographical and surrounding environmental data around a tailing pond through geographical information, calculating environmental sensitivity indexes, and classifying the tailing pond according to the environmental sensitivity indexes. Analyzing the potential influence degree of the tailings pond, and generating an environment supervision level framework. According to the method, geography and surrounding environment data around the tailings pond are captured through remote sensing of geographic information and the like, a machine learning algorithm data mining technology is utilized, the data are preprocessed, key indexes are screened, the weight of each evaluation index factor is optimized, and a qualitative and quantitative tailings pond environment risk evaluation index system is constructed. The algorithm calculates the comprehensive score of the environmental supervision risk of each tailing pond, analyzes the potential influence degree of the tailing pond, improves the pertinence and accuracy of data utilization, improves the environmental management efficiency of the tailing pond, and prevents the environmental risk.

The invention discloses a control method, system and device and a storage medium, and relates to the technical field of the Internet, and the method comprises the steps: obtaining an environment parameter set of an environment; determining an execution weight of a control instruction of each external device according to the environment parameter set; determining execution sequence information of the control instructions according to the execution weights; and sending the control instructions to the corresponding external devices based on the execution sequence information. According to the method, the execution weight of each control instruction is determined through the environment parameter set, and then the execution sequence information of each control instruction is determined based on the determined execution weight, so that compared with the prior art that the execution sequence of each control instruction is fixed, the working state of the external equipment is easily influenced by the environment; according to the method, the environment parameter set participates in determination of the execution sequence information of the control instructions, the environment change can be responded in real time, the execution sequence of the control instructions can be flexibly adjusted, and the control precision of the working state of the external equipment is effectively improved.

The invention discloses a construction engineering environment quality detection method and system, and relates to the technical field of environment quality detection. The method comprises the following steps: detecting to obtain real-time environment data of the constructional engineering, and determining an environment influence range of the constructional engineering according to the real-time environment data; environment interference time is extracted according to the real-time environment data, and environment interference crowds are determined in combination with the environment influence range; group information of the environment interference crowd is obtained, and the health interference degree of the building engineering environment on the environment interference crowd is obtained in combination with the real-time environment data and recorded as the health interference degree; obtaining the attention degree of the environment interference crowd on the environment quality, obtaining the life interference degree suffered by the environment interference crowd in combination with the real-time environment data, and recording the life interference degree as the life interference degree; and combining the health interference degree and the life interference degree to evaluate and obtain the environment quality of the constructional engineering. According to the invention, the accuracy of constructional engineering environment quality detection is improved.

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 an intelligent property management system based on an Internet of Things platform, and relates to the technical field of property management. According to the invention, through presetting the environment assessment time interval, the environment influence parameter of each public area is analyzed to obtain the environment assessment index, and the environment condition is converted into a visual numerical index, so that property management personnel can quickly judge the quality of the area environment; meanwhile, by setting a reference threshold index, the abnormal public area can be rapidly screened out, visualization and precision of environment management are achieved, a property manager has a basis during environment management decision making, once the property manager finds the abnormal public area, air purification equipment is immediately started, the evaluation effect is continuously monitored, and if the purification measure effect is not good, the property manager can immediately start the air purification equipment. The condition of the air purification equipment is further analyzed, maintenance personnel are accurately dispatched or property management personnel are notified, a closed-loop management mechanism of active response, continuous monitoring and optimization adjustment is formed, and continuous and good environmental quality of a public area is effectively guaranteed.

The invention relates to the technical field of environmental protection, in particular to an environmental analysis rating system based on environmental influence data, which provides a visual and understandable environmental quality evaluation result for a user mainly by collecting, processing, analyzing and rating the environmental influence data. The system is composed of a data collection unit, a data processing unit, an analysis rating unit and a display output unit, the data collection unit can collect various environmental influence data in real time through a built-in high-precision sensor and a collection device, and the data processing unit adopts an advanced data analysis algorithm to carry out deep mining and analysis on the data and displays the data in real time. According to the method, key information and rules in the data can be extracted, and the analysis rating unit is used for rating the environment quality by adopting a preset rating model and algorithm based on the processed data, so that the scientificity and accuracy of rating are ensured. Meanwhile, the self-learning ability can continuously optimize the rating model and algorithm, and the rating reliability is improved.

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 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 discloses a territorial space planning environment influence monitoring method, and relates to the technical field of soil sampling monitoring, the territorial space planning environment influence monitoring method comprises a supporting plate, the top of the supporting plate is fixedly connected with a support, and the center of the inner wall of the top of the support is provided with a fluted disc. According to the territorial space planning environment influence monitoring method, during sampling, the sampling box can be driven to descend through the electric push rod, soil is collected and sampled, two closing plates can be driven to be combined in the ascending process and when the sampling box moves to the storage box through arrangement of a torsional spring, the sampling box is closed, and the sampling effect is improved. According to the soil sampling device, the situation that the sampling amount is insufficient due to the fact that sampled soil is exposed to the outside and is prone to being blown off is avoided, meanwhile, a scraping plate is matched with a scraping strip, a sealing plate is automatically opened, the inner wall of a sampling box and the surface of the sealing plate are scraped, it is avoided that part of soil is left in the sampling device, and the subsequent detection and analysis precision is guaranteed.

The invention provides a downhole geophysical prospecting equipment self-adaptive control method and system in combination with an environment state, and relates to the technical field of self-adaptive control. Environmental influence normalization processing is carried out; randomly generating N initial solutions in the gain interval; carrying out fitness evaluation; carrying out distribution evaluation, configuring distance constraints, carrying out search solution screening, and establishing a search solution set; configuring a search strategy; updating the following solution; performing search updating, and executing search iteration; and self-adaptive signal gain is established, and self-adaptive control is carried out. According to the invention, the technical problem that the detection precision and the stability of the equipment are further influenced because the equipment cannot effectively adjust the signal strength due to the limitation that the equipment cannot dynamically adapt to the environmental change in the prior art can be solved, the technical target of adaptive adjustment of the signal gain is realized, and the equipment can respond to the environmental change in real time. And the signal intensity is automatically adjusted, so that the detection precision and the equipment stability are improved.

The invention provides an explosion control device and method for directional shaped charge blasting with low environmental influence, and relates to the technical field of blasting engineering and environmental protection, the device comprises a rock mass characteristic analysis module, a directional shaped charge structure design module and a blasting effect prediction module; the method comprises the steps of conducting geological investigation and rock mass characteristic analysis on a to-be-blasted area, conducting directional shaped charge structure design on the basis of the rock mass characteristic analysis result, conducting blasting effect prediction on the basis of the rock mass characteristic analysis result and the directional shaped charge structure, and if the prediction effect conforms to expectation, constructing a low-environmental-influence control decision, the environmental influence is reduced. By means of rock mass characteristic analysis, directional shaped charge structure design and blasting effect prediction, balance of efficient rock mass breaking and low environmental influence is achieved, the environmental influence can be remarkably reduced, the energy utilization rate is increased, and the method adapts to complex geological conditions and has important engineering application value and social significance.

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.

Disclosed are a computer-implemented method and system for controlling and / or monitoring the production of a chemical product with a certain environmental impact, wherein the method comprises the following steps: - Receiving a request, or order, indicating a chemical product, a desired quantity of the chemical product and a desired environmental impact of the chemical product; - determining a local and / or foreign location of one or more underlying chemical input materials required for the production of the requested chemical product, in order to fulfil the desired quantity and the desired environmental impact of the request; - gathering from a database, based on the determined local and / or foreign location of the required chemical input material(s), environmental impact attributes corresponding to the desired environmental impact required for production of the requested chemical product; - receiving the chemical input material(s) required for production of the requested chemical product from the determined local and / or foreign location(s); - removing, in the database, the environmental impact attributes for the chemical input material(s) received from the local and / or foreign location(s).

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 precipitation parameter determination methods, and particularly relates to a precipitation parameter determination method considering economic and environmental influences, which considers engineering cost, influences on surrounding buildings, a precipitation range and a precipitation depth in a precipitation process, establishes an objective function and constraint conditions, and determines a permeability coefficient in the function. The method not only pursues the rainfall effect, but also considers the economic cost and the environmental influence at the same time, and realizes the comprehensive optimization among the cost, the environmental influence and the rainfall effect by establishing an optimization model comprising a plurality of targets and constraint conditions.

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

The invention relates to a method for realizing space radiation environment effect evaluation aiming at a spacecraft material or device, and also relates to a device for realizing space radiation environment effect evaluation aiming at the spacecraft material or device, a processor and a computer readable storage medium thereof. According to the method, the device, the processor and the computer readable storage medium for evaluating the space radiation environment effect for the spacecraft material or device, the space radiation model, the orbit type, the service life of the spacecraft and the material characteristics are comprehensively considered; the effect of the spacecraft material or device in the space radiation environment can be simulated and evaluated more accurately, so that the reliability of the evaluation result is improved, the experiment design is optimized, and the experiment error is reduced. By constructing degradation models of materials and devices in different space environments, development and analysis of a method for reliability and life estimation of a spacecraft are facilitated, and improvement of performance and life of the spacecraft in a space radiation environment is facilitated.

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.

The utility model provides an electronic information acquisition device, which belongs to the technical field of information acquisition, and aims to solve the problems that the existing acquisition camera is generally directly exposed outside, possibly unintentionally shoots nearby walking personnel, affects the accuracy of acquired data and is easily affected by the external environment. The two sliding rods are connected into the gate body in a dispersed and sliding mode. The two transmission rotating shafts are rotationally connected to the interiors of the two sets of fixing pieces correspondingly; the acquisition protection assembly is arranged in the gate main body and on the outer side of the acquisition camera; the anti-climbing assemblies are arranged on the front face and the rear face of the baffle. After information acquisition is completed, the protection bin is closed, the acquisition camera is prevented from shooting nearby walking people by mistake, damage of external factors to the acquisition camera is reduced, and people with exclusive mood are prevented from escaping from information acquisition through unfolding and closing of the two overturning plates.