24 results about "Correlation equation" patented technology

The invention provides a method for selecting a high-concentration VOCs adsorbent at different temperatures and application, and belongs to the technical field of waste gas governing. According to the method, through testing pore structure parameters of a model adsorption material with concentrated pore size distribution, a static adsorption isotherm and a dynamic penetration curve for VOCs at different temperatures, a high-concentration VOCs adsorbent is obtained; a linear relation equation of the critical aperture and the critical pressure is established through linear fitting, then a correlation equation of the critical aperture, the temperature and the partial pressure is established, and the appropriate aperture distribution range and the model selection standard of the high-concentration VOCs adsorbent at different temperatures are determined by combining dynamic adsorption results. According to the method, the ternary matching relation equation of the VOCs partial pressure, the temperature and the critical aperture is constructed, accurate type selection of the high-concentration VOCs adsorbent at different temperatures is achieved, the pore volume utilization rate and the adsorption capacity can be improved, meanwhile, desorption energy consumption and the VOCs pyrolysis risk are reduced, and a theoretical basis is provided for adsorbent type selection and technical optimization.

The invention relates to the technical field of medical data processing, and discloses an operation period treatment risk intelligent prompting method, which comprises the following steps of: acquiring physiological index time sequence data and a treatment scheme execution parameter matrix of a perioperative period patient, generating a composite state tensor through multi-source feature correlation calculation, constructing a risk-intervention correlation nodal topological map, and calculating the risk-intervention correlation nodal topological map. Inputting a risk transfer model to simulate a risk transfer path and outputting an association influence probability value set, establishing a bidirectional association equation through space-time association mapping operation to generate a risk-intervention coupling prediction curve, calculating a risk prompt factor, and performing operation on the risk prompt factor and an association influence probability value to generate a standardized thermodynamic diagram; and extracting the operation quantitative index set, dynamically comparing the operation quantitative index set with a preset safety threshold value, and generating an intelligent prompt scheme containing a risk early warning level and an intervention scheme adjustment strategy when the index breaks through the threshold value. According to the method, the accuracy and effectiveness of risk prompting during the operation period are improved.

The invention discloses a mine working face water inflow prediction method based on mining water yield comparison. The method comprises the steps that 1, the development height of a water flowing fissure zone is calculated; 2, counting the sandstone equivalent thickness, the sand-to-ground ratio, the core recovery rate, the brittle-plastic rock thickness ratio, the unit water inflow and the permeability coefficient in the development height of the water flowing fractured zone as multivariate data; 3, determining the comprehensive weight of each evaluation index in the multivariate data; 4, drawing a contour map of mining area mining water yield indexes; 5, giving a fitting equation of the water inflow of the working face and the water yield index, and predicting the water inflow of the working face; according to the method, the contour map of the mining water yield index of the mining area is formed by coupling all the parameters, the correlation equation of the mining water yield index and the water inflow is constructed, the water inflow of the working face to be mined can be predicted based on the known mining water yield index through the equation, and the method is easy to operate and high in practicability. And the method is of great significance to the construction of mine water disaster prevention and treatment and mine water treatment facilities.

The invention discloses a gas-liquid two-phase flow measurement method based on a bent pipe and an acoustic emission technology, and belongs to the field of gas-liquid two-phase flow measurement. The method comprises the steps that the average liquid holdup HL of two-phase flow in a pipeline is measured, and the instantaneous speed Vc of a gas phase and a liquid phase passing through the 45-degree section of the bent pipe is calculated; identifying a gas-liquid two-phase flow pattern in the pipeline; taking the Vc, the HL, the apparent liquid velocity VSL and the apparent gas velocity VSG as variables, and adopting a dimensional analysis method to propose a correlation between the Vc and the VSL and between the HL and the VSL and between the VSL and the VSG according to different flow patterns; calculating an effective voltage value RMS of the acoustic emission signal, and establishing a correlation between the RMS and the VSL and VSG; fitting parameters in the correlation formula; newly collected Vc, HL and RMS are input into the fitted correlation formula, VSL and VSG are output, and therefore measurement of the gas-liquid two-phase flow is completed. Compared with a single-phase metering method after separation commonly used in the oil and gas industry, the device has the advantages of being simple in structure, low in measurement cost, capable of achieving real-time measurement, non-invasive and the like.

The invention provides a power distribution network node harmonic exceeding main cause identification method, device and system and a medium, and the method comprises the steps: building a node admittance matrix based on the node harmonic voltage and branch current monitoring data of a power distribution network, building a related equation of the harmonic voltage and an injection current, and employing a compressed sampling matching pursuit algorithm to identify the harmonic exceeding main cause of the power distribution network; solving a sparse harmonic injection current vector, and calculating a node harmonic voltage distortion rate according to a harmonic current injection value so as to judge a standard exceeding condition; through a modal analysis method, harmonic current threshold comparison and multi-frequency superposition effect analysis, identifying main factors exceeding the standard, including harmonic injection standard exceeding, multi-frequency superposition and resonance phenomena; and quantizing contribution degrees of resonance and harmonic injection, and distinguishing composite causes of harmonic exceeding. According to the method, the problem that the harmonic cause is unknown in the harmonic exceeding scene is solved, and the accuracy of the harmonic exceeding cause is remarkably improved. Through simulation and actual measurement verification, the accuracy of the method provided by the invention is verified.

The present invention provides a method, device, equipment, and storage medium for monitoring the temperature of asphalt on a highway surface, belonging to the field of temperature monitoring. The method comprises: extracting the three-primary-color brightness values ​​and the shooting angle of a labeled sample temperature field image; constructing a correlation equation between the brightness value, shooting angle, and temperature based on the principle of a two-color temperature measurement method; substituting the labeled data into the correlation equation to determine the original parameters of the correlation equation; obtaining a temperature field image of the asphalt on the target road section and the actual shooting angle corresponding to the temperature field image; extracting the target three-primary-color brightness values ​​of the temperature field image, substituting the target three-primary-color brightness values ​​and the actual shooting angle into the adjusted correlation equation to obtain the temperature of the asphalt on the target road section. In this way, the influence of different monitoring angles on the temperature monitoring results at fixed monitoring points can be eliminated, thereby improving the accuracy of the temperature monitoring results and the monitoring effect of road asphalt temperature monitoring.

A method for precision forming by continuous free bending starts with establishing a correlation equation of a continuous axis f(x) to a bending radius R and determining a bending radius R at a real-time location in the axis. Based on the free bending technique, the method further involves establishing a correlation model of a real-time bending radius R of a tube to an eccentric distance U of a bending die and hence correlations of the equation of the axis to free bending parameters, and constructing a complete correlation model among f(x), R, U, and t based on a relational equation of an eccentric distance U to movement time t of the bending die to enable the precision forming of a complex component by continuous bending. Accordingly, the production efficiency can be improved.

The present invention provides a circulating heat management method and system for liquid flow conduction, which relates to the field of heat exchange technology. The specific implementation scheme is: design multiple candidate geometric structures of U-shaped heat exchange bends, and perform flow field simulation on each candidate U-shaped heat exchange bend to obtain the flow field distribution of each candidate U-shaped heat exchange bend. Based on the flow field distribution of each candidate U-shaped heat exchange bend, the correlation equation between the heat exchange bend structure and the local turbulence intensity can be determined. Then, based on the correlation equation and the actual turbulence intensity distribution of the U-shaped heat exchange bend, each candidate geometric structure is optimized to obtain a target geometric structure that can optimize the actual turbulence intensity distribution of the U-shaped heat exchange bend and achieve the optimization target. In this way, based on the target U-shaped heat exchange bend corresponding to the target geometric structure, the U-shaped heat exchange bend in the liquid flow conduction system is replaced. The use of the present invention can improve the heat transfer efficiency of the liquid flow conduction system.

The invention relates to a method for contextualising cartographic data implemented by a moving vehicle including at least one sensor and a navigation system, the navigation system being configured to acquire cartographic information with associated cartographic positions, the method including: - a plurality of acquisitions by the navigation system, at different acquisition instants, of one cartographic datum among the cartographic information; - for each acquired cartographic datum, determination of a quantity representative of the cartographic datum at a location of the vehicle substantially equal to the cartographic position associated with the acquired cartographic datum; - determination of a polynomial equation of correlation between the cartographic datum and the quantity representative of the cartographic datum; and - automatic contextualisation of the cartographic datum at each acquisition by the navigation system according to the determined correlation equation.

The present invention discloses a modeling method for an indirect evaporative cooling heat exchanger model based on the Modelica language, comprising: building a mixed medium model of spray water and outdoor dry air; dividing the heat exchanger using the finite volume method, and setting the number of discrete units based on the Modelica language; constructing a conservation equation for a water film in a wet mode, and heat transfer and mass transfer calculation equations for wet air and water film; and building a conservation equation for each discrete unit based on the geometric structure of the heat exchanger, heat exchange fluids on both sides, heat exchange plate materials, and heat transfer and pressure drop correlation equations; and connecting the outlets of each discrete unit using a connect statement in the Modelica language to obtain an indirect evaporative cooling heat exchanger model based on the finite volume method. The indirect evaporative cooling heat exchanger model can reflect the internal hierarchical structure of the finite volume model of the heat exchanger, reduce the complexity of model construction, simplify the complex model, and improve modeling efficiency.

This invention discloses a method for visually measuring the wind speed of an airflow field. The measurement method includes six steps: placing a constant-power electric heating plate with a temperature higher than that of the airflow in the path of the airflow to be measured; using a thermal imager to photograph the airflow in front of the constant-power electric heating plate to obtain a thermal image of the temperature distribution of the constant-power electric heating plate during heat exchange; exporting the temperature values ​​from the image; using a hot-wire anemometer to detect the air speed at a specific point; fitting a correlation equation using the temperature and velocity values ​​at the specific point; exporting the temperature and coordinate values ​​of N or all pixels in the temperature distribution image of the electric heating plate, and substituting them into the correlation equation to obtain the velocity values ​​at each point in the airflow field. This allows for a direct visualization of the velocity distribution and range of the measured airflow field. This invention can accurately acquire the velocity field of the airflow, and the method is applicable to the velocity field detection of various complex airflows, and can accurately determine the diffusion range of a gas jet.

The present application relates to the technical field of rail damage detection, and particularly relates to a rail damage detection qualitative identification and quantitative reconstruction method. The present application comprises a vehicle body, a handrail is fixed on one side of the vehicle body, two parallel aluminum alloy square tubes are arranged in the vehicle body, and a running mechanism is arranged at both ends of the aluminum alloy square tube. The present application adopts automatic force detachable design, is more labor-saving to operate, and realizes rapid qualitative identification through a plurality of types of rail damage databases. The image gray value and the wear depth value are combined to establish a correlation equation, high-precision quantitative reconstruction is realized, the rail damage wear characteristics are more accurately restored, the rail damage image gray processing, histogram equalization and FPN structure are adopted to enhance the image features, improve the detection accuracy and range, the correlation model of the rail damage image gray and the wear depth is fitted through the neural network, the damage image is mapped to a three-dimensional model, and strong support is provided for subsequent evaluation and polishing guidance.

The present invention relates to the technical field of biological population prediction at nuclear power water intakes, and discloses a method for predicting biological populations at nuclear power water intakes based on deep learning. The method first collects data such as environmental factors, biological distribution, and historical prediction deviations, constructs a model selection correlation equation, selects the current prediction model based on this data, and then determines whether the model is optimized based on actual biological population data, ultimately obtaining an optimized prediction model structure. The method defines the monitoring area and target biological species, sets the statistical time period and key parameters, utilizes swarm intelligence optimization technology to construct correlation equations and weighted data sets, determines the model by comparing the success rate, and determines whether the model structure is optimized based on the critical value of the effect difference. This method can improve prediction accuracy and adaptability, providing an effective solution for predicting biological populations at nuclear power water intakes.

The present invention relates to a method for calibrating a sensor of a multi-axis force / torque sensor which has a maximum of n axes, measures a force in a vertical direction on the n / 2 axes, and measures a torque in a horizontal direction on the n / 2 axes, and more particularly, to a method for calibrating a sensor of the multi-axis force / torque sensor which comprises: a first step of preparing test reference data of the multi-axis force / torque sensor; a second step of obtaining sensor output values measured on the n axes provided in the multi-axis force / torque sensor by using the test reference data prepared in the first step as an input value; a third step of calculating a linear relationship between an input value and a sensor output value on each axis for a force and a torque by using the sensor output values obtained in the second step; and a fourth step of calculating an input value corresponding to the sensor output value obtained in the second step based on the linear relationship calculated in the third step, to calculate a correlation equation for a correlation between each axis.

The invention belongs to the technical field of combustible gas safety monitoring, and discloses a combustible gas jet flame temperature field prediction method, device, equipment and medium, and the method comprises the steps: building a jet flame temperature field data set based on numerical simulation data; fitting an experience correlation formula based on the flame temperature field data set; constructing a physical information artificial neural network model; wherein the physical information artificial neural network model takes an experience correlation formula as a physical constraint condition; selecting a proper hyper-parameter optimization method according to the data structure, and optimizing hyper-parameters of the physical information artificial neural network model by using the flame temperature field data set to obtain optimal hyper-parameters; and configuring a physical information artificial neural network model based on the optimal hyper-parameter, and training through a flame temperature field data set to obtain a trained physical information artificial neural network model, thereby realizing prediction of the combustible gas jet flame temperature field. According to the method, a jet flame temperature field prediction model for different combustible gases and different leakage port morphologies can be constructed, and a relatively comprehensive scientific basis is provided for safety distance design, accident emergency plans and the like.

The invention discloses a peak cluster depression tunnel water bursting and mud bursting disposal method, which belongs to the technical field of tunnel engineering, and comprises the following steps: firstly, detecting geological and hydrological data around a tunnel, constructing an underground water seepage model, creating a correlation equation, and carrying out inverse calculation to obtain a detection result containing a water bursting source and the like; and then combining the probability model and historical data, establishing and optimizing a tunnel water gushing and mud bursting numerical model, and predicting water gushing and mud bursting positions, time and the like. And then generating a prevention scheme according to a prediction result, including determining the position and number of cutoff walls, designing a drainage system and the like. And risk assessment is carried out on the secondary prediction result, and a prevention scheme is updated or an emergency plan is monitored and started in real time according to a risk value. According to the method, accurate prediction and effective prevention and control of water burst and mud burst of the peak-cluster depression tunnel are achieved, and tunnel safety is guaranteed.

The invention discloses an electrical fire prediction method and system based on the Internet of Things, and relates to the technical field of intelligent prediction, and the method comprises the following steps: setting a first parameter and a second parameter, fitting to obtain a first related equation, calculating an actual historical residual current, training a fire prediction model, and predicting a first probability. According to the method, the potential risk of the electrical fire can be recognized in advance by analyzing the historical residual current and the related parameters and combining the fire prediction model, the input data quality of the prediction model is improved by utilizing historical operation data and related coefficient analysis, the first related equation is fitted through the least square method, the calculation precision of the historical residual current is optimized, and the calculation accuracy of the electrical fire is improved. On the basis of the Internet of Things technology, operation data of the electrical equipment can be collected in real time and transmitted to the cloud or the local server for analysis, and the possibility of misjudgment of a single parameter is reduced by analyzing multiple parameters and relevance among the parameters.

Method for contextualizing cartographic data. A method for contextualizing cartographic data implemented by a moving vehicle comprising at least one sensor and a navigation system, the navigation system being configured to acquire cartographic information with its associated cartographic positions, the method comprising: - a plurality of acquisitions by the navigation system, at different acquisition times, of a cartographic data point from among the cartographic information, - The determination, for each acquired cartographic data point, of a quantity representative of the cartographic data point at a vehicle location substantially equal to the cartographic position associated with said acquired cartographic data point, - The determination of a polynomial correlation equation between the cartographic data point and the quantity representative of the cartographic data point.- Automatic contextualization of map data at each acquisition by the navigation system based on the determined correlation equation. Figure for the abbreviation: Fig. 3,

The invention relates to the technical field of engineering safety evaluation, and discloses an engineering safety monitoring system safety evaluation method, which comprises the steps of data acquisition, preprocessing, model building and health evaluation. According to the invention, multiple types of sensors are arranged at key positions of the hydraulic structure according to a principle, acquisition frequency is set according to characteristics, data can be comprehensively and accurately acquired, and redundancy is avoided; abnormal values are judged and replaced by a scientific method and a reasonable preset multiple, and the data quality is improved; when the model is built, a regression equation is built by utilizing historical monitoring data through rigorous mathematical statistics steps, and the relation of all variables is accurately reflected, so that the model is scientific and accurate; meanwhile, an actual osmotic pressure correlation equation is constructed, the health state is judged by comparing the error of a predicted value and an actual value and referring to a threshold value, and hidden danger can be early warned in time. On the whole, all links cooperate to form a complete evaluation process, reliable guarantee is provided for safe operation of the hydraulic construction, and risks are effectively reduced.

The invention relates to the technical field of constant-temperature room temperature and pressure control, in particular to a gas chromatograph constant-temperature room temperature and pressure cooperative control system and method. A control system preloads a pressure-temperature dynamic coupling model and a chromatographic peak half-peak width correlation equation in a control layer, temperature change and pressure change of a constant-temperature chamber are divided into an active regulating variable and a passive influence variable, and decoupling analysis of temperature and pressure is achieved; the sensor layer monitors the temperature and the pressure in the constant-temperature chamber in real time and provides accurate monitoring data for the control layer, the control layer outputs an adjusting instruction according to a calculation result of a half-peak width associated equation, and the execution layer enables the control of the temperature and the pressure to be more targeted through linkage adjustment of a heating module and an air supply / exhaust valve; the problem that temperature and pressure interfere with each other in traditional independent control is reduced, and the control precision and the response speed of environmental parameters of the thermostatic chamber are improved.

This invention relates to a method for fitting transmission line loss using linear regression, comprising the following steps: obtaining loss factors corresponding to multiple discrete frequency points based on the characteristic data of the substrate used in the transmission line; establishing a correlation equation between the loss factor and frequency using a linear regression algorithm, and configuring the correlation equation as a dynamic loss factor parameter in the transmission line simulation model; performing transmission line loss simulation through the configured simulation model to achieve full-band fitting of transmission line loss. This invention utilizes the dynamic correlation equation between the loss factor and frequency to avoid simulation deviations caused by fixed value settings, significantly improving the reliability of transmission line loss simulation results and achieving a high degree of consistency between simulated data and measured transmission line loss data within the target frequency band. This invention can construct dynamic loss factor parameters based solely on official substrate characteristic data and a linear regression algorithm, with a simple operation process, low implementation cost, and rapid application by circuit designers.

To provide a calibration method of a displacement sensor capable of realizing high measurement accuracy, despite calibration work having a small number of test measurement, and not requiring complicating arithmetic processing.SOLUTION: In two-dimensional coordinates, an intersection point of an optical axis of a light source which irradiates a detection object with light, a surface including a principal plane of a light receiving lens which forms an image on a light receiving plane of a detection element by reflected light from the detection object, and the surface including the light receiving plane, is set as a base point, and a principal point of the light receiving lens is set as an original point. A mathematical model which shows a distance from the base point of the detection object, by a position in a first straight line in which an inclination angle becomes the angle formed by the optical axis of the light source and the principal plane, and shows the distance from the base point to an image forming position in the light receiving plane, by the position in a second straight line in which the inclination angle becomes the angle formed by the principal plane and the light receiving plane, is used. A parameter in a correlation equation of the distance from the detection object and the distance between the image forming position and the base point is calculated, based on the plurality of distances from the detection object acquired by test measurement through a filter obtained on the basis of any setting value of the distance between the image forming position and the base point.SELECTED DRAWING: Figure 1

This method for measuring the flow rate of gas-liquid two-phase flow based on pipe bend and acoustic emission technology belongs to the field of gas-liquid two-phase flow measurement. The method includes measuring the average liquid holdup of the two-phase flow within the pipe. H L Calculate the instantaneous velocity of the gas and liquid phases at the 45° section of the bend in the pipe. Vc ; Identify the gas-liquid two-phase flow pattern within the pipeline; Vc , H L Apparent fluid velocity V SL and apparent gas velocity V SG As variables, dimensional analysis is used to propose different flow patterns. Vc , H L and V SL , V SG The correlation formula; calculate the effective voltage value of the acoustic emission signal. RMS ,Establish RMS and V SL and V SG The correlation equation; the parameters in the fitted correlation equation; the newly acquired data as input to the fitted correlation equation. Vc , H L RMS, output V SL , V SG This allows for the measurement of the flow rate of the gas-liquid two-phase flow. Compared with the single-phase metering method commonly used in the oil and gas industry after separation, this invention has advantages such as simple structure, low measurement cost, real-time measurement capability, and non-invasiveness.

The invention provides a nacelle response calculation method and device for a multi-propeller tilting aircraft. The method comprises the following steps: solving wing modal information containing nacelles of a multi-propeller / wing coupling system based on a distributed multi-propeller / wing aeroelastic coupling kinetic equation; based on a modal superposition method, establishing a correlation equation of profile load and wing response in combination with wing modal information; solving an influence factor of each order modal on the wing response, and obtaining the wing response based on the influence factor and the corresponding order modal; solving nacelle waving and shimmy responses based on a modal superposition method, and superposing wing responses to obtain a response of the nacelle relative to a fuselage coordinate system; according to the invention, the difficulty of nacelle response monitoring is reduced, and the calculation efficiency is improved.