11064results about "Material electrochemical variables" patented technology

The invention provides an ecological meteorology and satellite remote sensing combined dynamic environment monitoring method and system. Wherein spatio-temporal dynamic concentration data and spectral reflection characteristic data are obtained at a pollutant emission node; generating an associated data block by the spatio-temporal dynamic concentration data and the spectral reflection characteristic data according to a pollution concentration abrupt change event trigger time sequence, and performing chain storage on Hash fingerprints and pollution source geographic coordinate information through a distributed node consensus mechanism; integrating the ecological meteorological observation data to generate a pollutant migration path map; and establishing a pollution influence boundary judgment model according to the pollutant migration path map and the vegetation stress response characteristic data, and monitoring the diffusion range and influence boundary of pollutants in real time through the model to generate an environment monitoring report. According to the technical scheme provided by the invention, the industrial environment pollution dynamic monitoring precision and the decision response efficiency are remarkably improved.

The invention discloses a traditional Chinese medicine identification and analysis system based on clustering analysis, and relates to the technical field of medicine analysis and identification, and the system comprises the following modules: a data acquisition module, which is used for obtaining traditional Chinese medicine multi-modal data and processing asynchronous stream data, the multi-modal data comprises microscopic images, spectral data, metabonomics data and electronic nose / tongue sensing data, and the step of processing the asynchronous stream data comprises timestamp marking, multi-device data calibration and feature caching. According to the traditional Chinese medicine identification and analysis system based on clustering analysis, through collaborative design of a multi-modal hypergraph space-time encoder and a drug property causal intervention mechanism, multi-dimensional and multi-level leap-type improvement of a traditional Chinese medicine identification technology is realized, and the core contradiction of disjunction of a traditional clustering algorithm and domain knowledge is solved; and a universal framework of cross-modal dynamic learning is provided for the field of medical informatics.

A method of manufacturing a carbon nanostructure, such as a carbon foam material, is disclosed. The method comprises the steps of: (a) using a first laser beam to irradiate an encapsulated or sub-surface region of a carbon pre-cursor material below a surface of the material, to create carbon foam in that sub-surface region, and a disorganised, amorphous non-graphene material above the carbon foam, and then (b) using a second laser beam to remove or ablate the disorganised, amorphous non-graphene material sitting above the carbon foam, to expose at least some of the carbon foam. The resultant carbon foam material shows a significant D peak; the 2D peak is significantly less than the G peak; and the peak D: peak G ratio is significantly above zero. In appearance and Raman signature, it appears similar to a carbon nano-onion material. It can be used in biosensors, supercapacitors and pseudo-capacitors.

The invention discloses a machine learning-based soil pollution risk assessment method and a machine learning-based soil pollution risk assessment device, and belongs to the technical field of soil pollution risk assessment. The split biological effect and chemical indexes in traditional evaluation are converted into unified risk driving force measurement. A nonlinear interaction entropy calculation mechanism can adaptively capture an antagonism-collaborative balance relationship between microbial communities and pollutants in a soil environment, so that the degradation potential of functional flora on specific pollutants is reflected, and the dynamic regulation effect of environmental factor fluctuation on bioavailability is quantified. According to the cross-scale feature fusion technology, the evaluation model not only can identify the current pollution space distribution, but also can pre-judge the morphological transformation trend of pollutants in biogeochemical circulation, and provides a quantitative basis with ecological interpretation for risk early warning.

A method of manufacturing a carbon nanostructure, such as a carbon foam material, is disclosed. The method comprises the steps of: (a) using a first laser beam to irradiate an encapsulated or sub-surface region of a carbon pre-cursor material below a surface of the material, to create carbon foam in that sub-surface region, and a disorganised, amorphous non-graphene material above the carbon foam, and then (b) using a second laser beam to remove or ablate the disorganised, amorphous non-graphene material sitting above the carbon foam, to expose at least some of the carbon foam. The resultant carbon foam material shows a significant D peak; the 2D peak is significantly less than the G peak; and the peak D: peak G ratio is significantly above zero. In appearance and Raman signature, it appears similar to a carbon nano-onion material. It can be used in biosensors, supercapacitors and pseudo-capacitors.

A method of manufacturing a carbon nanostructure, such as a carbon foam material, is disclosed. The method comprises the steps of: (a) using a first laser beam to irradiate an encapsulated or sub-surface region of a carbon pre-cursor material below a surface of the material, to create carbon foam in that sub-surface region, and a disorganised, amorphous non-graphene material above the carbon foam, and then (b) using a second laser beam to remove or ablate the disorganised, amorphous non-graphene material sitting above the carbon foam, to expose at least some of the carbon foam. The resultant carbon foam material shows a significant D peak; the 2D peak is significantly less than the G peak; and the peak D: peak G ratio is significantly above zero. In appearance and Raman signature, it appears similar to a carbon nano-onion material. It can be used in biosensors, supercapacitors and pseudo-capacitors.

Disclosed are an intelligent simulation device for bottom sediment pollution process and control as well as an experimental method. The device includes an experimental flume to which a water inlet tank and a water return tank are connected; a wave-making system, an illumination system, a dosing system and an aeration system; an environmental condition parameter online monitor capable of determining water environmental parameters online; an online water quality index analyzer for monitoring water quality indexes in real time; a water automatic sampling device for automatically collecting water samples in a single or cycle mode; an offline analyzer capable of determining water quality indexes of the collected water samples or physical-chemical indexes of sediments; and an automatic control module for automatically controlling various devices. Further disclosed is an experimental method based on the intelligent simulation device for bottom sediment pollution process and control.

The invention relates to a water quality real-time detection system which comprises the following modules: a multi-source sensing module which is based on a multi-parameter sensing array, adopts a self-adaptive sampling strategy, realizes sensor time sequence synchronization through a state estimation algorithm, completes water body multi-dimensional parameter acquisition in combination with a micro-fluidic chip, generates a multi-modal sensing data set, and transmits the multi-modal sensing data set to a data processing module; the multi-source sensing module comprises a multi-source sensing sub-module, a signal conditioning sub-module, a time sequence synchronization sub-module and an anomaly capture sub-module. The method has the advantages that through the synergistic effect of the adaptive sampling strategy and the state estimation algorithm, the multi-sensor time sequence synchronization precision is remarkably improved, the phase deviation problem caused by traditional fixed frequency sampling is effectively eliminated, the sliding window polynomial fitting is combined with the wavelet threshold de-noising technology, and the multi-sensor time sequence synchronization precision is improved. High-frequency noise interference is greatly suppressed on the premise that effective components of the signals are reserved, and meanwhile, the abnormal value detection accuracy is improved through a dynamic threshold mechanism.

Disclosed herein are systems and methods for monitoring at least one volatile breathing compound in respiratory gases of patients. A device includes a patient respiratory gas interface coupled via a connector to a gas sampling line. The line includes a first channel for conducting a predetermined flux of respiratory gases from the interface to an inlet of a sidestream gas monitor, which monitors carbon dioxide (CO2) content. A pump facilitates gas flow through the device and the monitor. An outlet of the monitor is coupled to a second channel for conveying gases away. A valve controls passage of respiratory gas from the monitor via the second channel by connecting or disconnecting the flux to / from at least one volatile breathing compound detector, which monitors compound content. A control unit monitors CO2 values and uses this as a signal to control the valve, enabling compound monitoring or bypass based on CO2 content.

The invention relates to a bioelectrochemical sensor used for detecting hydrogen peroxide and a manufacturing method of the bioelectrochemical sensor. The novel bioelectrochemical sensor is a sensor with a three-electrode system, wherein the counter electrode is a platinum electrode, the reference electrode is saturated calomel electrode and the working electrode is gold electrode. The sensor is based on orientation combination of a polypeptide horse radish peroxidase with characteristic sequence, the promotion effect of the polypeptide horse radish peroxidase on the activity of the enzyme and the characteristic of high sensitivity of electrochemical detection methods. The sensitivity of hydrogen peroxide sensors is effectively improved and satisfactory results are obtained.

NADP-dependent oxidoreductase compositions, and electrodes, sensors and systems that include the same. Analyte sensors include an electrode having a sensing layer disposed thereon, the sensing layer comprising a polymer and an enzyme composition distributed therein. The enzyme composition includes nicotinamide adenine dinucleotide phosphate (NAD(P)+) or derivative thereof, an NAD(P)+-dependent dehydrogenase; an NAD(P)H oxidoreductase; and an electron transfer agent comprising a transition metal complex.

The invention relates to the technical field of soil pollution component analysis, and discloses an agricultural soil pollution prediction method. The method comprises the following steps: carrying out soil physicochemical property detection through layered gridding sampling, determining the heavy metal content, the organic matter content and the enzyme activity, and obtaining a pollution characteristic data set; monitoring diffusion characteristics of pollutants by adopting an electrochemical sensing detection array, and generating a migration rule model; a multi-parameter monitoring system is used for detecting the pH value, the oxidation-reduction potential and the ion activity, and a dynamic change sequence is formed; establishing a colloid interface action response matrix, and constructing a pollutant accumulation model; determining the occurrence form and the ion concentration of the pollutants, and generating an interaction map; and finally, constructing an early warning system, and outputting a prevention and control scheme. According to the invention, through cooperative application of multiple analysis and test means, and in combination with interface action mechanism research of pollutants in soil, whole-process intelligent monitoring of soil pollution prediction is realized.

NADP-dependent oxidoreductase compositions, and electrodes, sensors and systems that include the same. Analyte sensors include an electrode having a sensing layer disposed thereon, the sensing layer comprising a polymer and an enzyme composition distributed therein. The enzyme composition includes nicotinamide adenine dinucleotide phosphate (NAD(P)+) or derivative thereof, an NAD(P)+-dependent dehydrogenase; an NAD(P)H oxidoreductase; and an electron transfer agent comprising a transition metal complex.

The invention relates to the technical field of intelligent detection, and discloses a water pollutant concentration intelligent detection system and a detection method thereof, and the water pollutant concentration intelligent detection method comprises the following steps: obtaining optical data, chemical data, electrical data, environmental data and biological data; performing normalization and standardization processing on the obtained data through edge calculation; performing feature extraction on the acquired data; splicing the features to obtain a fused feature; the fusion features are input into a multi-layer perceptron for water pollutant concentration prediction; the diffusion conditions of pollutants at different time points in the future are predicted through a fluid mechanics formula; inputting the fusion features into a decision tree model, and judging the instant influence of the water pollutants on the cultured organisms; the breeding environment parameters are adjusted through instant influence. According to the method, through edge calculation, behaviors of aquatic organisms are combined, and the diffusion trend of water pollutants is predicted, so that more accurate water quality monitoring is realized.

The invention relates to the technical field of soil remediation, and discloses a remediation treatment method and system for simulating cadmium-contaminated soil and a storage medium. The method comprises the following steps: detecting and analyzing the adsorption performance of the remediation material according to soil cadmium content data to obtain remediation material performance data; based on the soil cadmium content data and the remediation material performance data, carrying out data processing on a pollutant migration rule to obtain pollutant migration characteristic data; carrying out data analysis on the repair material combination by utilizing the pollutant migration characteristic data to obtain material combination effect data; according to the material combination effect data, the repair process is dynamically detected, and repair effect data are obtained; and performing data evaluation on the remediation scheme by utilizing the remediation effect data to generate a cadmium-contaminated soil remediation scheme. According to the method, the performance of the repairing material, the pollutant migration rule and the repairing effect are accurately evaluated, and the scientificity and the reliability of the repairing scheme are improved.

NADP-dependent oxidoreductase compositions, and electrodes, sensors and systems that include the same. Analyte sensors include an electrode having a sensing layer disposed thereon, the sensing layer comprising a polymer and an enzyme composition distributed therein. The enzyme composition includes nicotinamide adenine dinucleotide phosphate (NAD(P)+) or derivative thereof; an NAD(P)+-dependent dehydrogenase; an NAD(P)H oxidoreductase; and an electron transfer agent comprising a transition metal complex.

The invention discloses a soil health and microbiological analysis intelligent environment monitoring device, and relates to the technical field of soil monitoring, the device comprises the following components: an outer shell, a sensor assembly, a microflora interaction monitoring sensor group, a data acquisition and transmission module, a power supply module, a microprocessor, a control unit and a data analysis module; signal molecule concentration change data and predatory relationship visual data are combined through the data analysis module, deep analysis is carried out by using bioinformatics and mathematical modeling means, and a multi-dimensional regulation network hidden in a microbial community can be comprehensively revealed; according to the soil health assessment device, the interaction relationship between the soil ecological system and the soil ecological system is analyzed accurately, the influence of the interaction relationship on key ecological functions such as material circulation and energy flow in the soil ecological system is analyzed accurately, the device can generate a detailed soil health assessment report based on the analysis results, agricultural scientific researchers, planting farmers and environmental protection monitoring departments can assess the soil health condition accurately, and the soil health assessment efficiency is improved. And targeted soil management measures are taken.

The invention relates to the technical field of corrosion detection, in particular to a grounding grid corrosion intelligent monitoring system which comprises an electrochemical data capture module, a corrosion behavior analysis module, a corrosion probability evaluation module and a monitoring strategy optimization module. According to the method, data errors and abnormal values are filtered and corrected, the overall quality of data is improved, the accuracy of analysis results is ensured, and in corrosion behavior analysis, the future trend of corrosion is effectively predicted through dynamic change detection of electrochemical properties and calculation of the corrosion rate; the time sequence analysis of the electrochemical impedance data not only enhances the prediction accuracy, but also improves the understanding depth of corrosion behaviors, the corrosion probability evaluation module adds consideration of random changes to the whole prediction model through the application of the Markov chain, so that the model is closer to the uncertainty of the real world, and through the optimization of the processing flow, the prediction accuracy is improved. The real-time performance and the early warning capability of the monitoring system are obviously improved, and the reliability and the operation accuracy of the system are enhanced.

The invention discloses a natural gas odorant concentration intelligent detection device suitable for remote monitoring, and belongs to the field of natural gas safety monitoring, and the natural gas odorant concentration intelligent detection device comprises an odorant concentration sensor array used for detecting original concentration data of a natural gas odorant; the cross validation module is used for carrying out fusion processing on the original concentration data corresponding to the various sensors respectively to obtain calibrated odorant concentration detection data; the pipeline monitoring module is used for obtaining pipeline operation data; the communication module is connected with the cross validation module, the pipeline monitoring module and the remote monitoring module; the remote monitoring module is used for determining an odorant concentration predicted value based on integrated multiple models according to the original concentration data and the pipeline operation data corresponding to the multiple sensors respectively; and obtaining a final odorant concentration confirmation result according to the calibrated odorant concentration detection data and the odorant concentration predicted value. According to the invention, high-precision, real-time and reliable remote intelligent monitoring of the concentration of the natural gas odorant is realized.

NADP-dependent oxidoreductase compositions, and electrodes, sensors and systems that include the same. Analyte sensors include an electrode having a sensing layer disposed thereon, the sensing layer comprising a polymer and an enzyme composition distributed therein. The enzyme composition includes nicotinamide adenine dinucleotide phosphate (NAD(P)+) or derivative thereof; an NAD(P)+-dependent dehydrogenase; an NAD(P)H oxidoreductase; and an electron transfer agent comprising a transition metal complex.

NADP-dependent oxidoreductase compositions, and electrodes, sensors and systems that include the same. Analyte sensors include an electrode having a sensing layer disposed thereon, the sensing layer comprising a polymer and an enzyme composition distributed therein. The enzyme composition includes nicotinamide adenine dinucleotide phosphate (NAD(P)+) or derivative thereof, an NAD(P)+-dependent dehydrogenase; an NAD(P)H oxidoreductase; and an electron transfer agent comprising a transition metal complex.

NADP-dependent oxidoreductase compositions, and electrodes, sensors and systems that include the same. Analyte sensors include an electrode having a sensing layer disposed thereon, the sensing layer comprising a polymer and an enzyme composition distributed therein. The enzyme composition includes nicotinamide adenine dinucleotide phosphate (NAD(P)+) or derivative thereof; an NAD(P)+-dependent dehydrogenase; an NAD(P)H oxidoreductase; and an electron transfer agent comprising a transition metal complex.

The invention relates to the technical field of information, in particular to a method for detecting and monitoring the cleaning effect of a semiconductor wafer in real time in the technical field of semiconductor wafer manufacturing, which comprises the following steps: introducing a rapid chemical analysis technology, combining an electrochemical sensor and spectral analysis, monitoring metal ion residues on the surface of the wafer in real time, and shortening the detection period; instant feedback on a production line is realized; a real-time feedback control system is constructed, according to the output of the comprehensive evaluation model, the working parameters of the cleaning equipment are automatically adjusted, the cleaning process is optimized, and the usage amount of cleaning liquid and the environmental influence are reduced; an edge computing technology is integrated, data processing and analysis tasks are sunk to a cleaning equipment end, data transmission delay is reduced, and the response speed of real-time monitoring and feedback control is increased; a visual monitoring platform is developed, key parameters, detection results and prediction trends in the cleaning process are displayed in a graphical mode, and operators can conveniently master the cleaning state in real time and quickly respond to abnormal conditions.

The invention relates to the technical field of livestock breeding, in particular to a cow manure automatic scoring system and method.The cow manure automatic scoring system comprises an image acquisition unit, a physical property sensor, a chemical component detection module and a data processing unit.The image acquisition unit is used for capturing the form, color and fiber residue of manure; the physical property sensor is used for measuring the water content of excrement and evaluating the viscosity and hardness of the excrement; the chemical component detection module comprises a near infrared spectrum analysis unit and an electrochemical sensor unit; and the data processing unit is used for integrating an AI algorithm, realizing multi-source data fusion and scoring, and uploading the data to the cloud management platform through the communication module. Therefore, the problems that in the prior art, manual scoring is subjective, low in efficiency and difficult to quantify, diseases are difficult to find early due to the lack of rapid component detection means, and accurate nutrition regulation and control are difficult to achieve due to the fact that scoring data are difficult to integrate into a breeding system are solved.

The invention discloses an intelligent detection method for water pollutants, which comprises the following steps of: transmitting a signal of a specific frequency band to a water body through an electromagnetic wave transmitting module, acquiring reflected and refracted signals by using a multi-channel receiver, extracting the characteristics of dielectric constant, refractive index and the like of the water body, and analyzing the types and the concentration range of the pollutants by adopting a pattern recognition algorithm; the method comprises the following steps: selecting a micro-fluidic chip and an electrochemical unit, selecting a corresponding biosensor for targeted detection, processing detection data through the micro-fluidic chip and the electrochemical unit, predicting the concentration, spatial distribution and trend of pollutants through a data analysis module, setting a dynamic self-adaptive threshold by the system, realizing pollution early warning, and uploading data to a cloud platform through a remote communication module. And remote monitoring is supported. The method can be widely applied to the fields of water quality monitoring, environmental protection and pollution control, and the detection precision, the real-time performance and the intelligent level are improved.

The invention relates to a rabbit meat freshness detection method based on an electronic nose technology. The volatile gas release mode of the rabbit meat under different storage conditions including temperature, humidity and time is analyzed through experiments, and key putrefying gas including dimethylamine, hydrogen sulfide and aldehydes and the concentration change trend are recognized; a metal oxide semiconductor (MOS) or an electrochemical sensor matched with the gas is screened according to the identified main decay gas, and a sensitive material means comprising a tin oxide thin film doped with platinum is optimized; a response matrix of different sensors to target gas is established through experiments, and a multi-sensor signal fusion algorithm is optimized; a temperature and humidity sensor is introduced, and environmental noise correction is performed in combination with odor signals; adopting a convolutional neural network feature extraction method to extract nonlinear features associated with the rabbit meat decay stage; docking the extracted smell features with the dynamic distribution model, and unifying the quantization dimension through a feature standardization algorithm; and correcting the predicted corruption trend in real time in combination with a smell distribution dynamic model.

The invention provides an intelligent early warning method and system for phosphorus tailing improved soil heavy metal migration, relates to the technical field of computers, and accurately predicts the main migration direction of heavy metal pollutants by combining factors such as terrain gradient, hydrological flow direction and soil structure heterogeneity. The method comprises the following steps: acquiring soil information of a to-be-detected area and soil potential information of a detection point in the to-be-detected area; determining heavy metal concentration information of the detection point according to the soil potential information; the heavy metal concentration information is used for reflecting heavy metal concentration distribution conditions corresponding to different soil depths of the detection points; determining migration direction information of the heavy metal at the detection point; the migration direction information is used for reflecting the corresponding heavy metal migration direction distribution condition of the heavy metal of the detection point in the three-dimensional space; and predicting a pollution diffusion area based on the migration direction information, the organic decomposition rate and the underground water level fluctuation information, and performing visual display.

The invention relates to a flexible electrochemical pH sensor as well as a preparation method and application thereof. Wherein the flexible electrochemical pH sensor comprises a flexible nanofiber substrate as well as a working electrode and a reference electrode which are arranged on the surface of the flexible nanofiber substrate at an interval, the working electrode comprises a first working part and a first wire part connected with the first working part, and the first working part is provided with a polyaniline sensitive layer. The flexible electrochemical pH sensor has the characteristics of high sensitivity, good flexibility and good air and moisture permeability, can be tightly attached to the surface of skin to monitor the pH value of body fluid, and is high in monitoring accuracy and simple in manufacturing method.

Devices for detecting an analyte in a sample suspected of containing the analyte, are provided. The devices include bio-functional, nanostructured, isoporous membranes (BNIM) integrated organic electrochemical transistor (OECT), herein BNIM-OECT, for the rapid and sensitive detection of the presence of an analyte of interest, in a sample, for example, a biological sample. The membrane (i.e., BNIM) is physically separated from the OECT channel therefore the electronic device can be used multiple times. The isoporous membrane is functionalized to include a binding partner for the analyte being detected. The BNIM-OECT can be used for disease detection, by functionalizing the BNIM-OECT with a binding partner to an analyte associated with the disease, applying a collected biological sample to the BNIM-OECT. A decrease in channel current as a result of analyte binding to its binding partner on the isoporous membrane indicates the presence of the analyte in the sample.

The invention relates to the technical field of chemical and physical measurement, and provides a high-precision oxygen concentration monitoring method and system and an intelligent oxygenerator, and the method comprises the steps: obtaining temperature and humidity data, detection oxygen concentration data and standard oxygen concentration data at a plurality of moments; acquiring time lag between different temperature and humidity sensors; acquiring a plurality of similar moments of the current moment of the tail end temperature and humidity sensor; acquiring the temperature change influence coefficient and the humidity change influence coefficient of each temperature and humidity sensor on the tail end temperature and humidity sensor at the current moment; acquiring a temperature prediction value and a humidity prediction value of the tail end temperature and humidity sensor at the next moment; and in combination with the detected oxygen concentration data, obtaining corrected oxygen concentration data, and comparing the corrected oxygen concentration data with the standard oxygen concentration data to obtain final oxygen concentration data at the current moment. The invention aims to solve the problem of inaccurate oxygen output control caused by the influence of environment temperature and humidity on an electrochemical oxygen sensor in an oxygen generator.