48results about How to "Fewer calculation parameters" patented technology

A fracture-vug type oil reservoir dynamic reserve calculation method provided by the present invention relates to a method for calculation aiming at the oil reservoir reserves of the elastic drive stages, and aims to realize the effects that the needed calculation parameters are less, the parameter values are all measured at an oil recovery site and are objective and accurate, and the calculation results are more credible. The fracture-vug type oil reservoir dynamic reserve calculation method of the present invention comprises the following steps of S01 measuring the bottom hole crude oil density rho 1 for the first time by a manometry method; S02 exploiting an oil well for a period of time, and recording the cumulative oil production as Np; S03, measuring the bottom hole crude oil density rho 2 for the second time by the manometry method; S04 substituting the measured rho 1, rho 2 and the Np into a formula to obtain the fracture-vug type oil reservoir dynamic reserves.

The invention discloses a vehicle load measurement method which comprises the following steps: controlling a vehicle to run at a constant speed on a preset paving material, and acquiring running parameters of the vehicle running at a constant speed on the preset paving material; determining the own weight of the vehicle and the dynamic friction coefficient between the vehicle and the preset pavingmaterial according to the vehicle model information of the vehicle; and calculating the load of the vehicle according to the own weight of the vehicle, the dynamic friction coefficient and the running parameters. According to the invention, after the vehicle is controlled to run at a constant speed on the preset paving material, running parameters of the vehicle running at a constant speed on a preset paving material are obtained, and the own weight of the vehicle and the dynamic friction coefficient between the vehicle and the preset paving material can be determined according to the vehiclemodel information of the vehicle, so that the weight of the vehicle can be calculated according to the own weight of the vehicle, the dynamic friction coefficient and the running parameters, the measurement operation is simple, and the measurement cost is low, the calculation mode is simple, the calculation error is small, and therefore the load of the vehicle can be simply, rapidly and accurately measured.

The invention discloses a metering control method based on three quantities of a water supply system. The metering control method is to firstly use the flow rate of the water supply system to collect data, collect the required basic data, and use the collected data to calculate the amount of pipe network leakage, Calculation of apparent loss and production-sales difference water volume, measurement analysis and control of pipe network leakage, apparent loss and production-sales difference water volume. It has the following advantages: Simplify the complicated quantitative control of leakage loss to the measurement and analysis of the three quantities of pipe network leakage, apparent loss, and production-sales difference in the water supply system only through the flow rate, and realize the control of pipe network leakage, Early warning of apparent loss to reduce production-sales gap.

The invention relates to a method for determining the uplift amount after the bottom pile foundation of the saline soil cutting foundation bed is strengthened, which can scientifically and reasonablydetermine the uplift amount of the bottom pile foundation of the saline soil cutting foundation bed after consolidation, and can meet the needs of practical engineering. The method comprises the following steps: determining the neutral point depth l0 of the pile foundation in the saline soil, the atmospheric cooling influence depth l below the top surface of the cutting foundation bed, and calculating and determining the calculated thickness h0 of the pile foundation uplift deformation at the bottom of the cutting foundation bed; determining the temperature Ti 1 and other parameters of the i-layer soil before cooling in winter; carrying out salt dilatancy test, compression test, water content test, soil particle specific gravity test and weight test on saline soil samples to determine thesalt dilatancy index Csi of the i-th layer soil; determining the uplift amount se after the bottom pile foundation of the saline soil cutting foundation bed is strengthened by the following formula (shown in the description).

The invention provides a state space controller, a control method and a gradient power amplifier. The state space controller comprises an integrating part which is used for integrating control deviation which is acquired based on the difference between gradient coil current and reference current, and a delay compensator which is used for generating a digital control amount used for generating a pulse-width modulation driving signal according to the control deviation integrated by the integrating part. The delay compensator comprises a feedback loop which is used for multiplying the digital control amount by a predetermined multiple after a delay of N calculation periods and subtracting from the digital control amount, wherein the N is 1 or 2. According to the invention, a simple and fast state space control method is realized.

The invention discloses a soil deformation prediction method, system and device and a readable storage medium. The method comprises the steps: obtaining geometric design data of a target tunnel which passes through a large-thickness collapsible loess stratum, a soil internal friction angle of the large-thickness collapsible loess stratum, and a collapsibility coefficient which passes through the stratum; according to the geometric design data of the target tunnel, the friction angle in the soil body and the collapsibility coefficient of the penetrating stratum, the width of a settling tank at any vertical depth from the tunnel vault to the earth surface and the stratum loss rate after the target tunnel is excavated are calculated; according to geometric design data of the target tunnel, the stratum loss rate after excavation of the target tunnel and the width of a settling tank at the vertical depth in the large-thickness collapsible loess stratum, vertical displacement and horizontal displacement at any point between the earth surface of the large-thickness collapsible loess stratum and the arch crown of the target tunnel are calculated; a soil deformation prediction result is obtained; the method has the characteristics of clear meaning, simple formula, few calculation parameters and better accuracy.

The invention discloses a vehicle detection method in a video stream, comprising the following steps: acquiring a video frame, using a trained convolutional neural network to identify the obtained video frame, and judging whether there is a vehicle in the video according to the result, and the vehicle The specific position of the vehicle; the position of the vehicle in the image is obtained by the vehicle detection, and its value in the next frame is predicted by the Kalman filter as the vehicle tracking result; the results of the vehicle detection and the results of the vehicle tracking are correlated, according to the correlation results Modify filter parameters and update filter group information. The invention designs a convolutional neural network with less network layers and a small structure for the vehicle detection task, which has fast detection speed and high precision. The invention uses a Kalman tracking algorithm to predict the position of the detection frame, and the tracking speed is fast and stable. The invention uses a data association strategy to combine a detection algorithm with a tracking algorithm, embodies the correlation of vehicles between frames, and can reduce the missed detection rate of vehicle objects.

The invention relates to a photovoltaic power generation fault diagnosis system based on a photovoltaic physical model. The photovoltaic power generation fault diagnosis system is connected with a photovoltaic system to be monitored. The photovoltaic power generation fault diagnosis system comprises an environmental parameter collection device, a photovoltaic system parameter collection device, a signal converter and a fault diagnosis subsystem. When the photovoltaic system operates, the environmental parameter collection device collects photovoltaic system environmental parameters every a preset time, and the photovoltaic system environmental parameters are transmitted to the fault diagnosis subsystem after being converted by the signal converter; meanwhile, the photovoltaic system parameter collection device collects photovoltaic system parameters every a preset time, and the photovoltaic system parameters are transmitted to the fault diagnosis subsystem after being converted by the signal converter; the fault diagnosis subsystem carries out calculation and fault condition judgment according to the acquired parameters and outputs results. Compared with the prior art, the photovoltaic power generation fault diagnosis system has the advantages of being small in number of needed calculating parameters, simple in wire layout and reconstruction, low in cost and the like, and achieves safe and reliable monitoring and fault diagnosis on the photovoltaic system.

The invention discloses an image defogging method based on blue channel correction, which is applied to the technical field of computer vision and image processing, and aims at solving the problems ofpoor defogging effect and large algorithm limitation of the existing histogram equalization algorithm, multi-scale Retinex (MSR) algorithm, dark channel prior defogging algorithm and the like. The method comprises the following steps: firstly, extracting information of red, green and blue channels, combining and sorting the information to obtain depth and transmissivity information, then respectively calculating the red, green and blue channels of an image to obtain a defogged image of each channel, and finally combining the images to obtain a final defogged image. The method has the advantages of few calculation parameters, simple and rapid calculation, good effect and no color cast, and is very suitable for processing outdoor fog images.

The invention provides a method for measuring the salt expansion of saline soil foundation. The method for measuring the salt expansion of the saline soil foundation can determine the salt expansion of the saline soil foundation in a winter temperature reduction period scientifically and reasonably, and can meet practical engineering requirements. The method for measuring the salt expansion of thesaline soil foundation comprises the following steps that through field investigation or data query, the salt expansion deformation calculating depth l<0> of the saline soil foundation, the temperature T<i1> of an I layer of soil before winter temperature reduction and the lowest temperature T<i2> of the I layer of the soil during winter temperature reduction period are determined; soil samples of saline soil are collected on site, and a salt expansion test, a moisture content test, a soil particle specific gravity test and a gravity test are carried out indoors, the salt expansion index C<si> of the I layer of the soil, the salt expansion force sigma<Ti> of the I layer of the soil after the temperature drops from T<i1> to T<i2>, the initial void ratio e<0i> of the I layer of the soil at the temperature of T<i1> and the effective self-weight stress sigma<y0i> are determined; and the salt expansion of the saline soil foundation is determined through the following formula, and please see the specification for the formula.

The invention discloses an image defogging method based on blue channel correction, which is applied in the technical field of computer vision and image processing, and aims at the existing histogram equalization algorithm, multi-scale Retinex (MSR) algorithm and dark channel prior defogging method and other algorithms, the problem of poor defogging effect and large algorithm limitations; the present invention firstly extracts the information of the red, green and blue channels, and combines them to obtain the depth and transmittance information, and then converts the image red, The green and blue channels are calculated separately to obtain the defogged image of each channel, and the final combined image is obtained to obtain the final defogged image; it has fewer calculation parameters, simple and fast calculation, good effect, and no color cast, which is very suitable for outdoor fog images Advantages of processing.

The present application relates to a machine learning-based spectrum sensing method, device, computer equipment and storage medium in the NOMA system. The method includes: when it is necessary to use the target frequency band to send a message, sending a sensing application of the target frequency band to the corresponding base station, so that the base station issues a spectrum sensing task for the target frequency band to each user within the coverage area; Spectrum observation energy signals collected by secondary users in the sensing time slot; according to the location information of each user, the spectrum observation energy values ​​corresponding to each spectrum observation energy signal are filled into the spectrum energy observation matrix, and the obtained energy observation matrix is ​​pre-formed. Processing, the processed energy observation matrix is ​​converted into an image, and the obtained grayscale image is input to the spectrum sensing model based on the Shuffle-Dense neural network for identification, and the current channel state of the target frequency band is output, which improves the accuracy of spectrum sensing.

The invention discloses a method for quickly determining a third-order passive intermodulation product level of a rectangular waveguide flange, and belongs to the passive intermodulation field of microwave components. The method includes: Step 1: the rectangular waveguide flange contact surface is equivalent to a metal-insulation layer-metal structure, and the potential difference between the twosides of the rectangular waveguide flange contact surface is determined; Step 2: The third-order nonlinear current generated by the rectangular waveguide flange contact surface is determined by the rectangular waveguide size, the flange contact area, and the potential difference between the two sides of the contact surface; Step 3: the level of the third-order passive intermodulation products of the rectangular waveguide flange is determined by using the carrier frequency, the rectangular waveguide size, and the third-order nonlinear current.. The invention can obtain the third-order passive intermodulation product level of the rectangular waveguide flange by simple calculation without obtaining the passive intermodulation low-order product and the surface topography parameter measurementin advance, thereby greatly improving the rectangular waveguide method. The efficiency of the passive passive intermodulation problem is reduced and the cost is reduced.