27 results about "Environmental analysis" patented technology

This invention provides a multimodal fusion-based method for correlation analysis of deep-sea environmental data outside the Yangtze River Estuary, belonging to the field of deep-sea environmental analysis technology. This invention achieves accurate data registration by establishing a spatiotemporal standardization model for multi-source data and employing an adaptive spatiotemporal kriging interpolation algorithm. It utilizes a sparse coding marine signal separation algorithm to construct an overcomplete dictionary to separate mixed signals and extract pure features. Based on an attention mechanism, a feature extraction network is constructed to automatically learn deep feature representations of physical, chemical, and biological parameters. A matrix rank deficiency detection algorithm is used to automatically supplement feature compensation vectors to ensure feature integrity. A cross-scale attention mechanism based on wavelet transform is constructed to fuse multi-scale features. A Shapley value interpretability evaluation system is established to quantify the importance of correlated features. This invention solves the technical problem of inaccurate correlated feature extraction during the fusion of multi-source heterogeneous marine environmental data.

This application provides an iron-based thin-film probe, an in-situ analysis method for soil micro-interface pollutants, a screening method for iron-based materials for soil remediation, and a soil remediation method, belonging to the field of environmental analysis and testing technology. The iron-based thin-film probe, used to study the role of iron-containing mineral micro-interface pollutants in soil, is prepared from an iron sheet through in-situ surface modification; wherein the modified surface formed by the in-situ surface modification is selected from any one of nano-zero-valent iron, iron oxide, and iron sulfide; the iron-based thin-film probe is used to simulate the adsorption, distribution, and redox reactions of iron-containing mineral micro-interface pollutants in soil.

This invention discloses a method and system for environmental performance verification and supervision of green procurement, relating to the field of environmental data analysis technology. The method and system include: S1, collecting and preprocessing environmental behavior data, node characteristic data, and structural difference data during the environmental performance verification process to construct a standardized verification status dataset; S2, performing environmental analysis on the environmental performance of the verification process and dynamically adjusting equipment operating intensity; S3, evaluating the status of the logs during the verification process and correcting the node field writing method and record density; and S4, conducting a consistency evaluation of the consistency of parallel verification results across nodes and real-time adjusting the node record link and batch processing flow. This solves the problems of insufficient reliability of environmental emission reductions caused by the inability to trace back the calculation link, the unverifiable calculation process, and the difficulty in maintaining consistency of verification results across nodes in multi-parameter environmental performance accounting.

This utility model discloses an automated sampling robot for dust and bacterial colony detection, belonging to the field of automated equipment for environmental monitoring and biological experiments. It includes a cart, a rotating gimbal, a support frame, double support plates, a double limiting structure, and a mechanical gripper clamping system. The first limiting structure uses an arc-shaped plate to press against the box, while the second limiting structure uses an air cushion and a top block to fix the culture dish. The mechanical gripper replaces suction cup gripping, improving stability. The double support plates respectively carry the culture dishes for bacterial and dust detection, and the rotating gimbal allows for switching between workstations, enabling dual sampling of dust and bacteria. The rotation angle of the support plates dynamically adjusts according to the number of culture dishes, supporting fixed-point interval detection. This utility model is adaptable to culture dishes of different sizes, has a high degree of automation, and can precisely capture the dynamics of bacterial and dust colonies, providing data support for multi-dimensional environmental analysis.

The application provides a lake dissolved organic matter quantitative tracing method based on molecular fingerprint and application thereof, and relates to the technical field of environmental analysis and water ecological management. The method comprises the following steps: collecting end member samples such as lake water and sediments, surface soil, plant litter, chemical fertilizer, livestock and poultry manure, tail water of a sewage treatment plant, tail water of aquaculture, etc., and enriching DOM through solid phase extraction; then obtaining molecular formula data through mass spectrometry; screening stubborn inert molecules that satisfy H / C < 1.5, conversion times of 0 and exist only in a single end member, and verifying the ecological conservation thereof through -2 < betaNTI < 2 and -0.95 < RCBray < 0.95; adopting SHAP algorithm to optimize a high-contribution molecular feature subset, and inputting the high-contribution molecular feature subset into a MixSIAR model to output the contribution proportion of each end member and the 95% confidence interval. The method guarantees the reliability of the tracer from the mechanism, breaks through the bottleneck of spectral overlap, and realizes accurate and reliable quantitative disassembly of endogenous and exogenous DOM.

This invention relates to the field of environmental analysis and testing technology. Addressing the problems of limited specific surface area, uneven mass transfer during stirring, and low desorption efficiency in existing membrane or tubular enrichers, it provides a rapid enricher using a stirred silicone rubber filament bundle. This enricher consists of 2-300 silicone rubber filaments bound into a bundle by a fixed head, connected to an electric drill via a connecting rod, and can be rotated and stirred in water samples at 100-3000 rpm. After enrichment, the bundle is placed in a thermal desorption container, where organic matter is desorbed by heating and then detected by ion mobility spectrometry along with the carrier gas. Compared to membrane / tubular structures, the filament bundle has a larger specific surface area, stronger turbulence during stirring, and effectively improved enrichment efficiency. Furthermore, the filament bundle is flexible and not easily broken, making it suitable for rapid on-site detection of complex matrix water and air samples.

The application discloses a kind of forestry environment analysis vegetation data optimization method and system, it is related to vegetation data optimization technical field, the method includes: obtaining the historical environment parameter sequence of target forestry area in historical preset time range, the environment parameter prediction of future multiple time is carried out, and configuration environment confidence sequence;Randomly select first vegetation data, obtain first performance parameter by performance prediction;According to the test environment parameter of different sample vegetation data and sample performance parameter in vegetation prediction intelligent agent, the correction calculation is carried out to environment confidence sequence, and obtains correction environment confidence sequence;According to first performance parameter, future environment parameter sequence and correction environment confidence sequence, analysis obtains first vegetation adaptation value, and continues to carry out iterative vegetation data optimization, obtains optimal vegetation data.The application solves the technical problems that the vegetation data optimization effect is not good and cannot adapt to the environment in the prior art.

This invention relates to the field of environmental analysis technology for industrial parks, specifically to a data-driven multi-dimensional environmental change analysis system for industrial parks. This system generates environmental logs through periodic data and constructs an environmental risk urgency index by combining pollution indicators and population structure, achieving precise risk anchoring. By integrating risk receptors and environmental governance nodes, a topological model is constructed that includes three types of relationships: pollution diffusion, governance synergy, and governance impact. By calculating environmental impact coefficients for different types of associations and setting differentiated thresholds, associated risk edges are identified and connected to form a complete environmental risk progression path, transforming the risk transmission process into a visualized path map. Finally, based on factors such as the average risk coefficient within the path, the number of affected receptors, and population sensitivity, path risks are quantified and ranked to generate a control priority sequence, thereby guiding the precise allocation of governance resources and effectively improving control efficiency.

The application discloses a kind of big data-based water conservancy project intelligent analysis system and method.This application belongs to the technical field of intelligent monitoring and early warning of water pollution prevention and control.The system includes: environmental analysis module, for obtaining the first influence data of environmental data on lake;Weather analysis module, for obtaining the second influence data of weather data on lake;Runoff analysis module, for obtaining the third influence data of runoff water replenishment data on lake;Model construction module, for constructing virtual lake model;Change analysis module, for generating lake change data from each influence data, to obtain model change data;Instruction generation module, for generating initial lake regulation instruction, and correcting to obtain lake regulation instruction, according to lake regulation instruction to carry out water resources regulation.This technical solution can improve the intelligent level of lake water resources management, while avoiding artificial decision bias, improving the accuracy of water level and water quality management.

The application provides a system and method for quantitatively determining nanometer plastics in an aqueous solution, and belongs to the technical field of environmental analysis and detection. The system comprises: a carrier gas supply unit for providing carrier gas and regulating the flow rate of the carrier gas, a programmed heat treatment unit, a three-way valve, a drying unit, a microplasma excitation and spectrum detection unit, a data processing unit and a control unit. The entire system is built based on miniaturized electrothermal evaporation and microplasma excitation technology, has the characteristics of low energy consumption and compact structure, has the potential to develop into a field quantitative screening device, and provides a new practical technical scheme for accurate quantitative monitoring of nanometer plastics in environmental water.

Aspects of the disclosure relate to an environment analysis platform for air composition estimation. The environment analysis platform may receive a set of environment information corresponding to an environment from one or more environment information sources. The environment analysis platform may generate an estimated air composition using an environment analysis model. The environment analysis platform may generate a cumulative particle score based on the estimated air composition. The environment analysis platform may determine whether or not the cumulative particle score satisfies a criteria. The criteria may indicate whether the environment is a compliant environment or an outlier environment. The environment analysis platform may send one or more commands directing a user device to display a user interface based on the determination.

The present application belongs to the field of environmental analysis chemistry, and discloses a method for evaluating the performance of a gas chromatograph mass spectrometer. The evaluation method integrates multi-index instrument performance evaluation standard substances, and realizes accurate evaluation of the performance of the gas chromatograph mass spectrometer based on the standard curve of the target substance registered in the database. The evaluation method established by the present application can comprehensively evaluate the influence of instrument components such as the chromatographic column, the sample inlet and the mass spectrometer on the qualitative and quantitative analysis of target compounds through single injection, thereby saving the cost required for purchasing standard substances, manpower and time required for instrument testing, and having the advantages of high efficiency, convenient operation and low cost. The present application provides technical support for monitoring and controlling new pollutants, and has a wide application prospect.

This invention relates to the field of instrument calibration technology, specifically disclosing a predictive calibration system and method for gas detection instruments. The system includes: a data acquisition module; an analysis module for determining a detection method for zero-point drift of an electrochemical gas sensor to be calibrated based on the type of operating environment; a calibration module for determining whether to perform real-time or periodic calibration of the electrochemical gas sensor in response to the occurrence of zero-point drift and the electrochemical gas sensor being in an abnormal on-state; an evaluation module for assessing calibration accuracy based on long-term zero-point stability or real-time signal fluctuation according to the calibration method; and an adjustment module for determining whether to update the environmental compensation coefficient and adjust the calibration interval based on the evaluation results of the evaluation module. This invention improves the accuracy of zero-point drift analysis by enhancing the accuracy of environmental analysis of the electrochemical gas sensor, thereby achieving precise calibration.

The present application belongs to the technical field of environmental analysis chemistry, and discloses a high-throughput identification method for synthetic phenolic antioxidant pollutants. The method realizes the synchronous screening and identification of known pollutants and unknown substances similar in structure by performing mass spectrometric analysis on the sample to be measured, and organically combining the two paths of target database matching and non-target molecular network analysis; after spectrum verification, the environmental risk assessment can be further completed. The method effectively overcomes the defect that the traditional targeted screening is easy to miss new pollutants. Through non-target molecular network analysis, potential new pollutants can be efficiently explored from complex mass spectrometric data, significantly expanding the identification range. Therefore, the present application ensures accurate quantification of known pollutants while improving the discovery ability of unknown risk substances, thereby realizing more comprehensive and accurate identification and risk assessment of environmental pollutants.

The application relates to the field of food safety and environmental analysis and detection technology, and particularly discloses a high-performance photoelectrochemical sensor based on a Bi2WO6 nanoflower / Ti3C2-MXene three-dimensional / two-dimensional heterojunction as well as a preparation method and application thereof. The sensor comprises a conductive substrate electrode and a photoelectric active heterojunction material layer constructed on the surface of the conductive substrate electrode. The photoelectric active heterojunction material layer is constructed through a space confinement strategy, so that the Bi2WO6 nanoflower is in-situ and uniformly grown on the multilayer Ti3C2-MXene nanosheet, and a composite structure in close contact is formed. The sensor has a wide linear detection range (0.001-100 nM) and an ultralow detection limit of 0.3 pM for tetracycline antibiotics (preferably tetracycline hydrochloride), has excellent analysis performance, is simple and convenient to operate, is low in cost, and is suitable for rapid and sensitive detection of trace antibiotic residues in food safety and environment.

This application relates to a vehicle scheduling method, apparatus, device, and medium based on multimodal traffic data fusion. The method includes: acquiring multimodal data of vehicles performing transportation tasks, and performing environmental analysis based on the multimodal data to obtain an environmental state vector; calculating a vehicle motion state set of the task vehicles based on the environmental state vector; assessing the risks present during task execution based on the vehicle motion state set and the environmental state vector to obtain a risk heatmap; calculating optimization objectives and constraints based on the risk heatmap to obtain an optimization objective set corresponding to the task; solving the optimization objective set to obtain a scheduling instruction package for the task vehicles; and instructing the task vehicles to travel according to the scheduling instructions. This method incorporates multimodal analysis, enabling accurate task-based vehicle scheduling based on risk.

This invention relates to the field of meteorological data analysis technology, specifically to a method for plotting the temporal distribution of heat waves, comprising the following steps: data acquisition, analysis, and temperature sequence construction; identification of heat wave intervals; calculation of heat wave intensity index based on the temperature deviation and duration, obtaining a heat wave intensity index sequence corresponding to each heat wave interval; adjustment of the temperature level interval distribution using an arctangent function to generate a corresponding color mapping relationship; generation of heat wave marker boxes on the heat map based on the final heat wave interval sequence; and plotting a stacked bar chart of high-temperature days. This invention can simultaneously reflect the duration of heat waves and the degree of temperature exceeding the threshold, effectively distinguishing the intensity differences between different years and different heat wave events, and providing more refined indicator support for subsequent heat wave risk assessment, urban thermal environment analysis, and climate change research, thereby improving the depth and comparability of heat wave event analysis.

The application discloses an electrochemical / colorimetric dual-mode metal organic framework nanosenor and a preparation method thereof and application of the nanosenor in Hg 2+ detection, and belongs to the technical field of environmental analysis and heavy metal ion detection. The Au-MOF material has weak enzyme-like activity in metal sites, and the enzyme-like activity is significantly excited in the presence of mercury ions, so that the oxidation reaction of a color developing substrate is catalyzed and obvious color change is generated, and colorimetric detection of mercury ions is realized. Meanwhile, the metal sites in the material have metal affinity for mercury ions, and can effectively enrich the mercury ions, so that the current response of mercury ions in the electrochemical detection process is enhanced, and electrochemical detection of mercury ions is realized. The method simultaneously obtains colorimetric signals and electrochemical signals under the same recognition mechanism, and realizes detection and analysis of mercury ions through the cooperative output of the dual signals. The method is simple in operation, rapid in response, and suitable for detection of mercury ions in water samples.

A tetracycline molecularly imprinted photoelectrochemical sensor and its preparation and detection method belong to the field of environmental analysis and detection technology. First, a BiOI nanosheet precursor is prepared on an FTO conductive substrate by electrodeposition. A BiVO4 / FTO electrode is then prepared by coating with a vanadium-containing precursor solution, high-temperature heat treatment, and alkaline washing. Further, molybdenum doping significantly improves the separation efficiency of photogenerated electron-hole pairs and the interfacial charge transfer capability. Then, a tetracycline molecularly imprinted polymer layer is formed on the electrode surface using electropolymerization. After template removal by elution, the resulting imprinted holes can specifically recognize tetracycline molecules. During detection, the target molecule selectively binds to the imprinted site and can act as an electron donor, being oxidized by photogenerated holes, thereby effectively promoting the separation and migration of photogenerated charge carriers and enhancing the photoelectric signal. The sensor constructed in this invention is suitable for high-sensitivity and high-selectivity detection of tetracycline residues in environmental water bodies.

This invention discloses a natural resource monitoring device based on a multi-level array sensor structure, belonging to the technical field of monitoring equipment. The device includes a main casing, with connecting rods penetrating the interiors of both the upper and lower environmental force detection plates. Sensor modules are installed at the lower ends of both the upper and lower environmental force detection plates. This invention solves the problem that existing monitoring devices are limited by site conditions and cannot detect wind forces at different heights, resulting in poor monitoring performance. By moving the outermost upper or lower environmental force detection plate, the sensor modules inside the sensor modules generate a collision sensor to detect the magnitude of natural wind resources. Based on the multi-level array sensor, specific environmental analysis can be performed to achieve optimal monitoring results.

This invention relates to the field of dam safety monitoring technology, specifically to a multi-source data fusion and risk early warning system for reservoir dam safety monitoring. The system includes: a data acquisition module, which acquires various monitoring data, temperature, and water level at each monitoring point on the dam at each moment within a preset time period prior to the current moment; and designates any monitoring point as a target monitoring point; a relative change analysis module, which obtains the relative change value of that monitoring data at a given moment for a monitoring point based on the ratio of the rate of change of a certain monitoring data at a given moment to that at a given moment for a monitoring point; an environmental analysis module, which analyzes the temperature and water level at each moment to obtain the degree of temperature and water level influence of each type of monitoring data; and a monitoring module, which acquires the normal relative change values ​​of various monitoring data at each monitoring point, then obtains the safety risk level of that monitoring data at the target monitoring point at the current moment, and subsequently monitors the target monitoring point. This application can effectively monitor the safety of dams.

This invention belongs to the field of environmental analytical chemistry and mass spectrometry, specifically relating to a targeted-non-targeted synergistic analysis method for aldehyde compounds based on stable isotope-labeled APMP derivatization reagents and a dual-library system. This method synthesizes d0 and d3 isotope-labeled APMP reagents to derivatize aldehyde compounds, and combines this with liquid chromatography-mass spectrometry (LC-MS) to achieve highly sensitive detection. Furthermore, a self-built dual-library system containing both derivatized and non-derivatized libraries is constructed, combining targeted quantification and non-targeted screening to achieve synergistic identification and quantitative analysis of known and unknown aldehyde compounds. Isotope internal standard correction and library matching verification improve the accuracy and reliability of the detection. This invention overcomes the limitations of traditional methods in terms of limited detection coverage and insufficient non-targeted quantitative analysis capabilities, making it suitable for high-throughput analysis of aldehyde compounds in complex environmental samples.

The present application relates to the technical field of cold region old building evaluation, and particularly relates to a cold region old building evaluation method and system based on environmental analysis, which combines winter environmental state data and heating equipment operation data to analyze the thermal performance abnormality of the cold region old building envelope structure, analyzes the thermal environment uniformity abnormality of the cold region old building according to the thermal performance abnormality analysis result, analyzes the environmental health risk of the cold region old building by combining the winter environmental state data, the heating equipment operation data and the old person activity position data, further evaluates the living environment threat degree of the cold region old building, resets the layout of the cold region old building according to the living environment threat degree evaluation result of the cold region old building, can reflect the potential threat of the building environment to the old people, provides a scientific basis for the priority reconstruction area identification, and improves the accuracy of the old environment evaluation.

This invention belongs to the field of environmental analytical chemistry, specifically a wastewater analysis method for the simultaneous detection of multiple synthetic cannabinoids and their metabolites. This invention employs a micro-volume direct injection method combined with ultra-high performance liquid chromatography-tandem mass spectrometry (UHPLC-MS / MS) for qualitative and quantitative analysis of 72 synthetic cannabinoids and their metabolites in wastewater samples. This invention eliminates the need for complex pretreatment processes such as solid-phase extraction, is simple to operate, has a short analysis time, high sensitivity, and wide coverage, making it suitable for high-throughput monitoring of synthetic cannabinoids in wastewater.

This utility model relates to the field of environmental analysis and testing technology. Addressing the problems of low efficiency, complex operation, and unsuitability for on-site testing in existing membrane enrichment devices, it provides a rapid enrichment device using a stirred silicone rubber composite membrane. This enrichment device consists of a silicone rubber sheet, a separating mesh, a fixing head, and a connecting rod. The silicone rubber sheet and the separating mesh are clamped together by the fixing head to form a composite membrane. Connected to an electric drill via the connecting rod, it can rapidly adsorb organic matter in water samples through rotational stirring. After enrichment, it is placed in a thermal desorption container, and the desorbed gas is detected by ion mobility spectrometry via a carrier gas. By enhancing mass transfer through stirring and expanding the adsorption area of ​​the composite membrane, enrichment can be completed within 30 minutes. It is suitable for on-site and laboratory detection of organic matter in water and air samples, significantly improving efficiency and portability.