184 results about "Environmental quality" patented technology

The invention discloses a clean workshop production environment quality control method and system, and relates to the technical field of environment control, and the method comprises the steps: constructing a multi-layer sensing network, deploying temperature and humidity, particle concentration, pressure difference and VOC gas sensors, and carrying out the preprocessing data of each node through edge calculation; fusing the data based on a dynamic weight distribution algorithm, adjusting the weight according to the confidence score, and generating an environment quality comprehensive index; an LSTM pollution diffusion prediction model is established, a diffusion path is calculated in combination with airflow field simulation when pollution suddenly occurs, and an emergency response partition strategy is generated; fresh air system control parameters are optimized through reinforcement learning, a dynamic ventilation frequency adjusting model is established based on a real-time environment quality index and historical energy consumption data, and energy consumption is minimized through a Q-learning algorithm on the premise that cleanliness is guaranteed; a double-threshold early warning mechanism is set, local supercharging purification is started when a comprehensive index exceeds a first-level threshold, a second-level threshold is linked with adjacent areas to form a dynamic isolation barrier, and an intervention scheme effect is simulated through a digital twin system.

The invention relates to the technical field of environmental parameter measurement, in particular to an indoor environment quality intelligent evaluation method based on multi-dimensional data fusion, which comprises the following steps: step 1, performing time-space synchronous acquisition on multi-source data; 2, a dynamic correlation model is constructed, a parameter coupling matrix is generated based on inter-parameter time-delay cross-correlation analysis, the time-delay cross-correlation analysis is achieved through sequence translation in a sliding time window and correlation coefficient calculation, an environment state class is constructed according to a parameter mean vector, fluctuation intensity and abnormal event marks, and a dynamic correlation model is constructed; each environment state class is bound with an independent parameter contribution degree weight set; step 3, performing double-stage environment quality evaluation; and step 4, adaptive increment optimization: when the deviation between the comprehensive evaluation index and the subjective evaluation exceeds a threshold value, adjusting a parameter contribution degree weight set of an environment state class, and periodically reconstructing a parameter coupling matrix. The prediction capability is improved by considering the time-delay coupling between the parameters; the system has self-learning and optimization capabilities, and the stability of long-term operation of the system is improved.

The invention relates to the technical field of environment monitoring, in particular to an intelligent acquisition method based on environment monitoring data fusion, which comprises the following steps: S1, constructing a multi-sensor distributed monitoring network, and acquiring atmosphere, water quality, soil and meteorological environment data; s2, performing data preprocessing, including smoothing, anomaly detection, interpolation and time alignment; s3, carrying out data source, feature and decision three-level fusion, and outputting an environment quality level; s4, constructing a quality index system, monitoring data quality and adaptively optimizing fusion parameters when the data quality is abnormal; s5, performing environment trend prediction and pollution tracing based on a fusion result, and generating early warning information; and S6, constructing a cross-modal causal diagram, reasoning a multi-source causal path, and identifying pollution key factors and source responsibility subjects. According to the invention, through multi-source environment data fusion and cross-modal causal reasoning, high-precision early warning of environment abnormity and intelligent traceability identification of pollution sources are realized.

The invention relates to the technical field of environmental monitoring, in particular to an ecological environment and environmental pollution monitoring system and method, and a multi-source heterogeneous data acquisition module comprehensively acquires water quality, weather and space monitoring data. The system comprises a topological mapping data preprocessing module which is used for abnormal data detection and data vacancy filling; the state evolution analysis module is used for constructing an environment state transition network and analyzing an environment state evolution rule; the environment comprehensive evaluation module is used for calculating a water safety level index and a water pollution condition index and generating an environment quality evaluation report; the pollution diffusion prediction module is used for predicting a pollutant diffusion path and concentration distribution and identifying a high-risk area; the intelligent early warning and visualization module is used for generating graded early warning information and visually displaying the environment state and the pollution diffusion condition through multi-dimensional data, so that the coverage and the data integrity of environment monitoring are remarkably improved, the environmental pollution problem can be timely found and dealt with, and the ecological environment safety is guaranteed.

The invention provides a water environment model coupling data processing method and system, and relates to the technical field of hydrology and water quality monitoring. The method comprises the following steps: determining a soil permeability characteristic descending trend and estimating an uncertainty range of a runoff coefficient; obtaining source model data according to the uncertainty range of the runoff coefficient by using a regional pollution production and convergence model; using the one-dimensional river network model to obtain error information according to the source model data, and outputting prediction data; and determining a prediction deviation mode by comparing the prediction data with the real-time monitoring data, and correcting parameters of all related models in the whole model chain. The method aims at solving the technical problem that the permissible discharge amount set based on a three-model coupling system does not conform to the actual absorption capacity of a water body due to continuous nonlinear deviation of river network model prediction and actually measured water quality data in the three-model coupling system, and accurate analysis of the urban pollution load and water environment quality response relation is achieved. And real-time and self-adaptive adjustment of the permissible emission amount is carried out.

The invention provides a regional ecological environment quality evaluation method and system based on remote sensing data, and relates to the technical field of environment remote sensing and ecological monitoring, and the method comprises the steps: extracting red light and near-infrared reflectivity at the peak of a growing season by using Landsat8 satellite data, and calculating a mixed vegetation index; synchronously measuring vegetation indexes of pure vegetation and bare soil on site to obtain a vegetation coverage rate, and obtaining water transparency, suspended solid concentration and chlorophyll a concentration through on-site measurement on the basis of green light, red light, blue light and near-infrared reflectivity in a heavy rainfall period and a dry season; the method comprises the following steps: constructing a linear regression model of reflectivity and water quality parameters through a least square method, calculating a water quality index, constructing an extreme weather influence factor based on ten-year extreme weather data, and finally fusing a vegetation coverage rate, water quality, the extreme weather influence factor, annual precipitation, annual average temperature, optimal regional vegetation temperature and historical rainfall extremum. And constructing an ecological quality index, and dividing ecological environment quality grades.

The invention belongs to the technical field of water resource monitoring, and particularly relates to an urban water environment quality evaluation and assessment method based on an automatic monitoring network, which comprises a water quality monitoring module, a parameter preprocessing module, a comprehensive quality calculation module, a water quality analysis module, a long-acting management module and a closed-loop optimization module. According to the method, parameter weights are dynamically distributed through ecological influence, evaluation deviation caused by traditional fixed weights is avoided, and the scientificity of water quality index calculation is improved; a monitoring-analysis-management and control-optimization whole process is closed-loop, and a long-acting management cycle is formed by combining hierarchical management and control such as III-class limited rectification, IV / V-class production halt management and quarterly strategy updating; a multi-level monitoring network architecture is adopted, real-time monitoring data, seasonal factors and public feedback are integrated, and data comprehensiveness and credibility are enhanced; a pollution hotspot map is matched through five-level water quality labels, a pollution source is quickly positioned, and differentiated treatment decisions are assisted.

The invention provides a terrestrial ecosystem service function monitoring and evaluation method, and the method comprises the steps: generating a biological feature vector and an environment feature vector according to biological data and environment data collected in an ecological protection region; performing species identification on the biological feature vector based on a biological large model, performing environment analysis on the environment feature vector based on an environment large model, and obtaining animal and plant information and environment quality evaluation conditions in the ecological protection area; and based on an ecological system evaluation model, carrying out comprehensive reasoning analysis on the organisms, the environment, the comprehensive feature vectors, animal and plant information in the ecological protection area and environment quality evaluation conditions, and evaluating an ecological system service function of the ecological protection area. Wherein the comprehensive feature vector is determined based on the fusion of the biological feature vector, the environment feature vector and the dynamically adjusted weight. According to the method, the overall ecological condition of the ecological protection area can be more comprehensively understood by adopting a large model technology, and more comprehensive, accurate, dynamic and scientific ecological system service function evaluation is provided.

The invention specifically discloses a long-time-sequence high-frequency ecological environment quality space-time differentiation and driving analysis method, and relates to the technical field of remote sensing and ecological environment. The method comprises the following steps: determining an evaluation area, and constructing a macroscopic ecological safety risk evaluation framework; ecological indexes of greenness, humidity, temperature and dryness are calculated, and a time sequence data set is constructed; reconstructing a time sequence data set and constructing a remote sensing ecological index model based on the reconstructed time sequence data set; verifying the precision of the model, and evaluating the reconstruction precision by taking the screened high-quality pixels as true values; analyzing the spatial and temporal change trend and significance output by the model by using slope estimation and trend test, outputting future change continuity by using a Hurst index analysis model, and measuring spatial autocorrelation output by the model by using a Moran index; remote sensing ecological index evolution factors are researched by means of an optimal parameter geographic detector. According to the invention, the precision and timeliness of ecological assessment are improved, and decision support is provided for ecological management.

The invention discloses a livestock and poultry house environment parameter self-optimization regulation and control method based on swarm intelligence, and the method comprises the steps: collecting multi-dimensional environment parameters, such as temperature and humidity, through arranging a sensor array in a livestock and poultry house, and constructing an environment parameter sensing matrix; and converting the matrix into hypergraph structure data, inputting the hypergraph structure data into an optimized hypergraph neural network, mining high-order correlation and dynamic change characteristics among parameters, and clustering environment states through a swarm intelligence optimization strategy. A multi-dimensional environmental data regulation and control model is constructed based on the information, a parameter regulation and control target interval is set in combination with livestock and poultry growth requirements, a hypergraph network search strategy is regulated and controlled after deviation is calculated, equipment is driven to adjust environmental parameters, and closed-loop feedback is formed. According to the method, the hypergraph neural network and the swarm intelligence technology are utilized, the complex relation of the environmental parameters is accurately analyzed, the growth requirements of livestock and poultry are dynamically met, efficient self-optimization regulation and control of the environmental parameters of the livestock and poultry house are achieved, and the breeding environment quality and the production benefits are improved.

The invention discloses an underground water environment quality data management method based on a grading evaluation model, and relates to the technical field of data processing, and the method comprises the steps: obtaining an underground water environment region and a plurality of to-be-monitored sub-regions; acquiring environment quality data, and acquiring a water quality factor based on the grading evaluation model and the environment quality data; obtaining a circulation region area, and obtaining the contribution degree of each to-be-monitored sub-region based on the grading evaluation model and the circulation region area; and based on a grading evaluation model, the water quality factors of the to-be-monitored sub-regions and the contribution degrees of the to-be-monitored sub-regions, obtaining comprehensive water quality indexes of the to-be-monitored sub-regions, arranging and forming an underground water environment quality sequence, and obtaining a treatment strategy of the underground water environment region according to the underground water environment quality sequence. The invention further provides an underground water environment quality data management system based on the grading evaluation model. The method has the advantages of being accurate, reliable, comprehensive and dynamic in adjustment.

The invention relates to the technical field of environment control, in particular to an automatic control method and system for the environment in a breeding house, and the method comprises the following steps: collecting a temperature value, a humidity value, a carbon dioxide concentration value, a power consumption value, a water resource consumption value and a feed consumption value through a sensor in the breeding house, and carrying out the noise filtering treatment; and executing data normalization processing to obtain pre-processed data. According to the method, the difference between the index and the target value is calculated, and the multi-objective optimization function is combined, so that accurate adjustment of the control parameters is realized. Therefore, key indexes such as temperature, humidity, carbon dioxide level and energy consumption are continuously monitored, equipment operation parameters are optimized, and energy efficiency and environment quality are improved. Particularly, due to real-time identification and adjustment of high-energy-consumption equipment, energy waste is reduced, the stability of the breeding environment is ensured, potential risks caused by environment fluctuation are reduced, and the breeding efficiency is improved.

The invention discloses a marine sand excavation monitoring system and method which are used for solving the problems that an existing marine sand excavation monitoring system is insufficient in monitoring precision and insufficient in environmental change early warning. Comprising a monitoring acquisition module, an environment monitoring analysis module, a precision monitoring analysis module and an execution module. According to the method, environmental factors and the precision of sand excavation equipment are monitored and analyzed in real time, the influence of sand excavation activities on the environment is effectively evaluated, the environmental quality influence coefficient and the environmental state influence coefficient are calculated, adjustment is conducted in combination with dynamic environmental data, environmental changes are found in time, and the negative influence of sand excavation on the ecological environment is reduced; the precision deviation of the equipment is automatically analyzed through a precision monitoring and correction module, and dynamic correction is performed according to a correlation analysis result, so that the equipment always runs in a high-precision range; the accurate control mode optimizes the sand excavation process, improves the sand excavation efficiency and the resource utilization rate, and meanwhile reduces operation errors and environment disturbance.

The invention relates to the technical field of aquaculture, and particularly discloses paracoccus pantotrophus P.p-O8 and application of the paracoccus pantotrophus P.p-O8, the paracoccus pantotrophus P.p-O8 is preserved in the China General Microbiological Culture Collection Center (CGMCC), and the preservation number of the paracoccus pantotrophus P.p-O8 is CGMCC NO.26522. The invention relates to a microbial inoculum prepared from paracoccus pantotrophus P.p-O8. The method has a huge application prospect in improving the quality of aquaculture water and repairing the polluted sediments in the cage culture area, improves the water environment quality and the survival conditions of aquaculture organisms, repairs the eutrophicated polluted ecological environment, and has high environmental protection value and economic benefit.

The invention discloses an aquaculture non-point source pollution treatment method based on ecological-hydraulic engineering, which comprises the following steps: acquiring water quality monitoring basic data of a target aquaculture area, inputting the water quality monitoring basic data into an ecological simulation environment matched with an ecological-hydraulic engineering fishpond, and generating a plurality of ecological purification schemes, constructing an environmental fluid dynamic model corresponding to the ecological-water conservancy project fishpond by taking the lowest waterlogging risk, the least fresh water supply, the maximum water quality index improvement and the lowest bioremediation cost as constraint conditions, and inputting each ecological purification scheme into the constructed environmental fluid dynamic model one by one to obtain an optimal ecological purification scheme. A control strategy corresponding to the optimal ecological purification scheme is executed, and the control strategy at least comprises an ecological restoration strategy and a water conservancy control strategy. According to the method, the water environment quality of the target culture area can be remarkably improved, the waterlogging risk is reduced, and recovery and balance of an ecological system are promoted.

The invention discloses a human settlement environment quality evaluation method based on urban public service and ecological system service, and relates to the field of ecological environment evaluation, and the method comprises the steps: determining an evaluation region, and obtaining the natural, economic and remote sensing data of a year to be evaluated in the evaluation region; performing quantitative evaluation on the ecosystem service of the evaluation area from rainfall flood adjustment, heat island effect relief, air purification and park recreation in the ecosystem service; performing quantitative evaluation on the urban public service of the evaluation area from medical security, basic education and public culture in the urban public service; and carrying out weight superposition calculation on the score of each evaluation factor in the ecological system service and the urban public service to obtain a human settlement environment quality comprehensive score of the evaluation area. According to the method, human settlement environment quality evaluation can be carried out scientifically and comprehensively with resident demands as the core, and a direction is pointed out for city space optimization.

The invention discloses a water environment quality assessment method, system, device and program. The method comprises the following steps: acquiring an observation value of data of a water area to be detected; calculating the irregularity index of organisms in the water area according to the observed value of the water area data; calculating an influence transfer coefficient between any two sampling points of the water area through the observation value of the water area data; and inputting the irregularity index of the organisms in the water area and the influence transfer coefficient into a decision tree model, and outputting the health rating of the water area by the decision tree model. According to the treatment scheme disclosed by the invention, after the water environment is changed, warning can be timely and accurately performed in a grading manner, corresponding measures can be timely taken, and the diffusion of pollutants and the loss of property are avoided.

The invention discloses a natural resource environment quality comprehensive evaluation method and system based on spatial distribution, and relates to the technical field of environment evaluation. The evaluation method comprises the steps of S1, determining an evaluation target and an evaluation range, S2, collecting and processing data, S3, constructing an evaluation index system, S4, implementing comprehensive evaluation, S5, establishing a dynamic weight adjustment mechanism, and S6, analyzing a result and formulating a strategy. The method is technically characterized in that a related mechanism of weight adjustment triggered by abnormal indexes is established, on one hand, the recognition and feedback capability of key problems is enhanced, and on the other hand, conversion of an evaluation system from static evaluation to dynamic response is promoted, so that the problems that traditional evaluation results are lagged and ecological environment changes cannot be reflected in time are solved, and the evaluation efficiency is improved. According to the method, the closed-loop regulation and control capability of dynamic adjustment and optimization is embodied, after a primary weight correction action is carried out, when a certain index deviates from a normal threshold value, a secondary weight correction program is automatically started, and the system weight of a criterion layer where the index is located is improved.

The invention discloses a cross-medium composite ecological environment problem identification and diagnosis technology system construction method, which comprises the following steps of S1, preprocessing cross-medium multi-source heterogeneous basic data, and constructing to obtain a multi-source heterogeneous data set; s2, constructing a multi-medium environment quality and driving factor index library based on the multi-source heterogeneous data set; s3, single-medium factor-quality response relation models of the atmosphere, the water body, the soil and the solid waste are constructed respectively, and key driving factors for single-medium quality indexes are identified; s4, constructing a cross-medium response network according to the same environment quality index or the key driving factor index, performing driving factor contribution rate analysis, and identifying and diagnosing a cross-medium ecological environment problem; s5, verifying the accuracy of the ecological environment problem identification and diagnosis; according to the method, differentiated single-medium traceability technology islands of different scales and different fields are broken through, and the cross-medium composite ecological environment problem can be effectively identified and diagnosed.

The invention provides a big data environmental protection management system and method based on a smart park, and relates to the technical field of environmental protection management, and the method comprises the steps: collecting air quality parameters, water quality parameters, meteorological parameters and noise levels of all representative places in the park; calculating an environmental health index, a water quality safety index and a noise influence index; each intermediate parameter is compared with a threshold value, and when the parameters exceed the threshold value, corresponding improvement measures are taken; constructing a comprehensive evaluation model according to the environmental health index, the water quality safety index and the noise influence index, generating a weight in the comprehensive evaluation model through an analytic hierarchy process, and generating a comprehensive environmental quality index by using the comprehensive evaluation model; and setting different environment quality grades according to the comprehensive environment quality index, and making corresponding improvement measures according to the grades. According to the systematic management mode, the precision and response speed of park environment monitoring are effectively improved, and the pertinence and effectiveness of environment treatment measures are ensured.

The invention provides an ecological environment restoration evaluation method based on deep learning, and relates to the technical field of intelligent ecological environment restoration evaluation. Comprising the following steps: acquiring multi-source data as a time sequence, including remote sensing image data, environment quality data and biodiversity data; constructing an ecological environment knowledge graph, and performing entity relationship reconstruction and time sequence prediction on the knowledge graph through a graph neural network; performing multi-class segmentation on the remote sensing image data through the multi-class segmentation model to obtain a semantic class response graph; and obtaining a classification result according to the semantic category response graph, the difference of the semantic category response graphs of the multiple time points, final layer output of the graph neural network, and the difference of the regional environment quality data and the biodiversity data of the multiple time points. Through the deep learning technology, fusion and analysis of multi-source data are realized, the ecological environment change trend is predicted, the ecological environment restoration degree is assessed, the scientificity and reliability of ecological assessment are improved, and intelligent support is provided for ecological protection and restoration.

The invention provides a digital evolution method and system of an ecological system, and the method comprises the steps: obtaining animal and plant information, environment quality evaluation conditions and ecological system service function evaluation results in an ecological protection region according to biological data and environment data collected in the ecological protection region; generating a comprehensive feature matrix based on features extracted from animal and plant information, environment quality evaluation conditions and ecological system service function evaluation results, and performing deep learning on the comprehensive feature matrix to construct a digital twin engine; building a digital twinborn large model based on a digital twinborn engine, the large model static base information and a prediction model, wherein the prediction model supports natural evolution prediction and scene deduction; and in response to real-time data input into the digital twin large model, processing the real-time data and target data including ecological system historical data, and displaying ecological system panoramic dynamic information including a natural evolution prediction result and / or a scene deduction result on a visual interface.

The invention relates to the technical field of environmental protection and monitoring, and discloses an arid region oasis water environment ecological safety early warning method, which comprises the following steps: step 1, constructing a sky-air-land-water three-dimensional monitoring network, the monitoring network comprises a satellite remote sensing monitoring subsystem, an unmanned aerial vehicle remote sensing monitoring subsystem, a ground sensor monitoring subsystem and an underwater monitoring subsystem, and the monitoring network is used for acquiring multi-scale and multi-element water environment ecological data; step 2, establishing an ecological safety evaluation index system of the oasis water environment in the arid region, the evaluation system including four first-level indexes of hydrology and water resource dimension, water environment quality dimension, ecological health dimension and social economy dimension, and setting a plurality of quantifiable second-level indexes under each first-level index. A combined prediction model in which a Markov chain and a long-short-term memory neural network are coupled is adopted, and a system dynamics scene simulation method is combined, so that the perspectiveness and scene adaptability of the early warning method are effectively enhanced.

The invention relates to a digital twin construction method and system of a terrestrial ecosystem, and the method comprises the steps: obtaining animal and plant information and environment quality evaluation conditions according to biological and environmental data collected in an ecological protection area; processing animal and plant information, an environment quality evaluation condition, a biological feature vector generated based on biological data, an environment feature vector generated based on environment data and a comprehensive feature vector generated by fusing the two types of vectors based on the evaluation large model to obtain an ecological system service function evaluation result; generating a comprehensive characteristic matrix based on animal and plant information, environment quality evaluation conditions and ecological system service function evaluation results, and performing deep learning on the comprehensive characteristic matrix to construct a digital twinborn engine; and after a digital twinborn large model is constructed based on the digital twinborn engine and the model static substrate information, in response to real-time data input into the digital twinborn large model, rendering a linkage state of species, environment and ecosystem service functions on a visual interface.

The invention relates to the technical field of data processing, in particular to an intelligent ecological environment partition management and control system and method, and the system comprises an ecological environment data collection module, an ecological environment quality evaluation module, an ecological environment management and control module and an ecological system database. According to the intelligent ecological environment zoning management and control system and method provided by the invention, the environment pollution degree evaluation index, the natural resource utilization efficiency evaluation index and the ecological system service quality evaluation index of each environment control area are comprehensively analyzed, and the comprehensive analysis method not only can comprehensively evaluate the regional ecological environment quality, but also can comprehensively evaluate the ecological environment quality. And standardization of ecological environment quality evaluation is also realized, and objectivity and consistency of evaluation results are ensured. By comparing different indexes, main problems and weak links influencing the regional ecological environment quality can be identified, and a basis is provided for formulating a targeted environmental protection strategy. And sustainable development of the region can be realized.

The invention discloses a flood season water environment quality monitoring system based on wireless communication, and relates to the technical field of water environment monitoring, the system comprises the following components: a data acquisition and transmission module, an intelligent early warning module, a traceability analysis module and a decision support module; the flood season water environment quality monitoring system integrates a data acquisition and transmission module, an intelligent early warning module, a traceability analysis module and a decision support module, realizes comprehensive and real-time monitoring of flood season water environment quality, and can rapidly capture water quality changes and timely send early warning information by means of a high-precision (high-resolution) water quality monitoring sensor and an advanced wireless communication technology, thereby realizing the purpose of flood season water environment quality monitoring. And the pollution source is accurately traced, and scientific treatment decisions are provided for related departments, so that the water environment quality monitoring efficiency and accuracy are greatly improved, effective prevention and control measures can be taken in time, water quality deterioration is prevented, and the safety of water resources is protected.

The invention discloses a river ecological environment quality evaluation and degradation diagnosis method, and relates to the technical field of ecological environment. Comprising the steps of establishing a river ecological environment quality evaluation system; arranging river ecological environment quality monitoring points, determining monitoring frequency and monitoring time, and collecting monitoring point data; analyzing and processing the collected monitoring point data; the river ecological environment quality is evaluated according to the analyzed and processed data, and an evaluation result is obtained; according to the evaluation result, identifying an ecological environment quality degradation river reach, performing diagnostic analysis on the ecological environment quality degradation river reach, identifying a pressure source causing ecological environment quality degradation, and obtaining a diagnostic result; and generating a river ecological restoration and protection management scheme according to the diagnosis result. According to the method, physical, chemical and biological multi-dimensional indexes are integrated, the river ecological environment quality can be objectively evaluated, the degeneration reason of the river ecological environment can be diagnosed, and a scientific basis is provided for river ecological protection, restoration and management.

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.

This invention relates to the technical field and proposes a method, system, and medium for collecting livestock farming environmental data. The method includes: analyzing the impact of other dimensions of environmental data in a periodic multidimensional environmental data sequence on changes in ammonia and carbon dioxide concentrations in the monitored area to obtain the degree of manure fermentation impact in the monitored area at the current moment; obtaining the manure impact attention level in the monitored area at the current moment based on the degree of manure fermentation impact and the degree of manure accumulation; assigning attention weights to different monitored areas based on the environmental quality attention level, animal quantity, and total weight to obtain the comprehensive environmental quality attention level at the current moment; obtaining the collection frequency adjustment coefficient for the next cycle in the farm based on the comprehensive environmental quality attention level; and adaptively adjusting the collection frequency of environmental data in the farm for the next cycle based on the collection frequency adjustment coefficient. This invention improves the efficiency and effectiveness of livestock farming environmental data collection.

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