10 results about "Concentration curve" patented technology

The invention discloses a smell time sequence release control method and system, and the method comprises the steps: constructing an action network and an evaluation network of reinforcement learning, constructing a target smell concentration curve on a time sequence, obtaining a current state parameter, and inputting the state parameter into the action network; the action network outputs the action value to execute the smell release of the corresponding smell driving device, and detects the real smell concentration value and the change rate of the corresponding position on the corresponding time sequence; acquiring the odor concentration value and the change rate of the target odor concentration curve on the same time sequence, constructing a joint reward and punishment function by combining the actually detected odor concentration and the change rate of the same time sequence, updating the evaluation network by using the reward and punishment function, updating the action network to output a new action value, and driving an odor driving device according to the new action value; and calculating comparison loss under all time sequences of the target odor concentration curve, constructing a multi-time-sequence joint loss function of the target odor concentration curve, and training a reinforcement learning model based on the multi-time-sequence joint loss function.

The invention provides a mixed data regression model-based pm2.5 influence factor analysis method and system, and the method comprises the steps: building a mixed data regression model of which covariables are component data and numerical data and dependent variables are functional data: the mixed data regression model is a pm2.5 concentration curve of a city, is the functional data, is the proportion of first yield, second yield and third yield of the city, and is called the proportion of third yield for short; the data is component data, logarithm of per capita GDP, average temperature and numerical data, is a to-be-estimated component type coefficient changing along with time, is distributed to a component type covariable at any moment, is a to-be-estimated function type coefficient and is a function type residual error; obtaining robust M-estimation based on equidistant logarithmic ratio transformation, functional basis expansion and an iterative reweighted least square method; and according to the estimated values, analyzing the influence of the three-yield ratio, the per capita GDP and the average temperature of each city on the pm 2.5. The method can be used for analyzing the pm 2.5 influence factors.

The present application relates to the technical field of water environment data monitoring, and particularly relates to an environmental online data abnormal clue analysis method and system, the present application receives uploaded environmental online data in a collection period, filters out first abnormal data in the environmental online data, selects a filtering standard of abnormal data, statistically processes and collates the filtered environmental online data, generates a time node-pollutant concentration curve, draws a tangent line at each time node in the curve, determines a node slope, records a node with a node slope greater than a preset node slope as an abnormal node, judges the environmental online data based on the abnormal node, generates a corresponding processing instruction or completes the abnormal clue analysis of the environmental online data based on the judgment result, and re-determines the operation parameters of the corresponding components based on the received processing instruction. The present application effectively realizes fast and accurate analysis of the obtained environmental online data, and effectively improves the use efficiency of the environmental online data.

The invention discloses a breast cancer heterogeneous component automatic segmentation and quantitative analysis method and system. The method comprises the following steps: S1, collecting multi-temporal breast DCE-MRI original image data; step S2, carrying out comprehensive preprocessing on the DCE-MRI original image data; s3, based on a deep learning technology, automatically segmenting the breast tumor and internal heterogeneous components to obtain a segmentation result; s4, based on the segmentation result, automatically generating a time-signal intensity curve and a contrast agent concentration curve; s5, fitting the generated standardized time-signal intensity curve and the contrast agent concentration curve, extracting features, and classifying the features into different dynamic enhancement modes; s6, key quantitative parameters are extracted from the standardized time-signal intensity curve, and pharmacokinetic characteristics are extracted from the contrast agent concentration curve; and S7, establishing a comprehensive analysis model. Through deep learning and image processing technologies, an objective basis is provided for accurate diagnosis, molecular typing prediction and individualized treatment of breast cancer.

The invention belongs to the technical field of groundwater pollution treatment, and discloses a dynamic evaluation method and system for the service performance of a PRB material in groundwater pollution remediation, and the method comprises the steps: obtaining a pollution remediation concentration curve, and calculating the actual removal amount of a filling material to hexavalent chromium pollutants according to the concentration curve; calculating the active surface area of the filling material, and establishing a correlation model of the active surface area and the removal performance of the filling material based on the active surface and the actual removal amount; measuring complex resistivity spectrum data of different areas at different time points of the polluted site and extracting characteristic parameters of the complex resistivity spectrum data to obtain complex resistivity characteristic parameters; and constructing a mapping model of the actual removal amount of the hexavalent chromium pollutants and the complex resistivity characteristic parameters, and performing zoned quantitative evaluation on the service performance of the filling material based on a calculation result of the mapping model. According to the invention, a whole-process dynamic evaluation system of the repair concentration, the adsorption performance and the electro-physical characteristics is integrated, and real-time dynamic monitoring and quantitative evaluation of the material performance in the in-situ repair project are realized.

This application provides a real-time air pollution monitoring system and method for industrial plants. The system clusters the emission inflection points of pollutant concentration curves at various monitoring points within the industrial plant into multiple abnormal emission events, thereby identifying pollution source monitoring points within the industrial plant. It calculates the angle between the pointing vector from the pollution source monitoring point to other monitoring points within the industrial plant and the wind direction vector, obtaining the vector angle of the pollution source monitoring point. Then, it determines the environmental impact confidence level of the pollution source monitoring point using the vector angle and the maximum pollutant concentration in each abnormal emission event. When the environmental impact confidence level is greater than the impact threshold within the industrial plant, the sampling frequency of the downwind monitoring point is optimized based on the distance between the pollution source monitoring point and the downwind monitoring point. Based on the above scheme, risk confidence assessment of pollution sources in industrial plant air pollution monitoring can be achieved, thereby improving the accuracy of capturing abnormal emission events.

The application relates to an air tightness detection method, device, equipment, storage medium and program product. The method comprises the following steps: obtaining actual concentration curves of each detection position on a battery pack in the process of charging the battery pack with tracer gas; the actual concentration curve comprises data of concentration change of the tracer gas with time in the gas replacement process; determining air tightness detection results of each detection position according to reference concentration curves of each detection position and the actual concentration curves; the reference concentration curve comprises data of concentration change of the tracer gas with time calculated by a flow field model in advance, and the air tightness detection result is used for characterizing whether the tracer gas leaks at the detection position. The air tightness detection efficiency can be improved by adopting the application.

A spectral analysis method for thermodynamically analyzing performs multivariate analysis to a plurality of measurement spectra measured under a plurality of measurement parameters, using MCR method that separates a pure spectrum from the plurality of measurement spectra, and calculates a concentration value of each pure spectrum. In this method, an equilibrium model corresponding to an equilibrium state of a sample in which three or more types of chemical species coexist is set, and at least one chemical-equilibrium equation corresponding to the equilibrium model is set. In the MCR method, a concentration curve based on the chemical-equilibrium equation is fitted to the calculated concentration values, an optimal value of a thermodynamic parameter is acquired, a new concentration value is acquired from the chemical-equilibrium equation based on the optimal value, and thus the concentration value is constrained.

The application provides an industrial park ventilation dead zone CO2 quantitative detection method and system, and relates to the technical field of data processing. The industrial park ventilation dead zone CO2 quantitative detection method comprises the following steps: constructing a physical environment and initializing parameters; closing a ventilation opening, injecting a quantitative CO2 gas into an experimental box, and then waiting for the concentration in the experimental box to stabilize; opening a fan to perform constant flow replacement, and simultaneously recording the concentration drop sequence C i (t) of N different measuring point positions by using a plurality of gas concentration sensors of a space monitoring array; performing arithmetic average or weighted average processing on the multi-channel data collected by the plurality of gas concentration sensors to obtain an instantaneous spatial average concentration curve of the experimental box; fitting the instantaneous spatial average concentration curve into a double exponential decay function C(t); inversely calculating a main flow region volume V1, a ventilation dead zone volume V2, and an exchange flow rate Q e between the dead zone and the main flow region; and outputting a dead zone volume proportion v and an exchange efficiency index q to evaluate ventilation efficiency and pollutant retention risk.

This invention relates to the field of hydraulic fracturing testing technology, and particularly to a fracture monitoring method, a brine hydraulic fracturing experimental apparatus, system, electronic equipment, and medium. The method includes: adjusting the concentration of the injected brine using a brine concentration control module based on a preset concentration curve, the concentration curve dynamically changing with experimental time or real-time multiphysics feedback data; during the hydraulic fracturing process of the injected brine, acquiring multiphysics data of the target fracture using a multiphysics monitoring module; and calculating the blockage state and salting-out degree of the target fracture using a multiphysics coupling analysis algorithm based on the multiphysics data. This approach solves the technical problem of existing technologies being unable to monitor the multiphysics coupling process under high temperature and high salinity conditions, improving the depth of research and the fidelity of experimental simulations regarding the fracture salting-out blockage mechanism during brine discharge from salt cavern-type compressed air energy storage.