40results about How to "Fully consider" patented technology

Provided are a circuit control system and method for dynamically adjusting voltage and frequency. The circuit control system herein includes: a lookup table module configured to store a combined table of voltage-frequency corresponding relation curves of a target circuit under one or more working conditions; a converting module configured to make conversion between a working voltage and a working frequency of the target circuit according to the lookup table module; and a combined adjusting module configured to combinedly adjust the working frequency and the working voltage of the target circuit. With a high degree of automation, the circuit control system herein is safe and reliable for adjusting the working voltage and the working frequency of the target circuit, thereby achieving the effects of adjustment and optimization.

Disclosed are a steam power system modeling method and a steam power system modeling device for power drive device type selection. The steam power system modeling method for the power drive device type selection includes: confirming performance indexes and technological parameters of all devices in a steam power system; building a first nonlinear mathematical model of the steam power system; generating a power drive device type selection alternative scheme and configuring corresponding parameters according to power drive power requirements of all portions in the steam power system and pressure level conditions of a steam pipeline at a position where a drive of a device to be selected is located; performing linear conversion between a solution of the first nonlinear mathematical model and the power drive device type selection alternative scheme, and generating a mixed integer linear mathematic model; judging whether the optimal power drive device design scheme meets an overall performance index of the steam power system according to an optimized solution of the mixed integer linear mathematic model; if the optimal power drive device design scheme meets the overall performance index, generating a second nonlinear mathematical model of the steam power system according to the optimal power drive device design scheme.

The invention discloses a quality of life condition collection method based on cloud computing, which comprises the following steps: (1) utilizing a mobile terminal to collect user information, storing the user information in a database, and adding a unique identifier to differentiate; and (2) differentiating and uploading data not synchronized via the identifier in the database, and downloading new data in a server. The quality of life condition collection method continuously monitors each individual patient's quality of life for a long term, scientifically collects and analyzes the each individual patient's state of quality of life, selects the most reasonable and economical treatment scheme by combining individual condition, improves the patient's quality of life and subsistence benefit, enables different patients' different changes of quality of life to be fully considered, obtains the optimal benefits, and avoids medical resource waste caused by empirical selection.

The invention discloses a full-working condition performance prediction method for a compressor, and aims at providing a rapid and accurate full-working condition aerodynamic performance prediction method so as to increase the design and optimization efficiency of the compressor. In the method, a formula is established by taking parameters of a design point as the reference to predict the flow, the efficiency and the overall pressure ratio of an off-design working condition; in a flow prediction method, firstly, the flow of the design point is converted according to an empirical formula to flow corresponding to a peak efficiency point at different rotating speeds, and then, blocking flow and surging flow at respective rotating speeds are calculated; in an efficiency prediction method, firstly, the efficiency of the design point is converted according to the empirical formula to peak efficiency at different rotating speeds, and then, the efficiency at different rotating speeds is calculated according to an elliptic piecewise approximation method; and in a prediction method for the overall pressure ratio, work factors at different rotating speeds and different flow are calculated according to the thought of the equivalent width of an impeller exit, and the work factors are combined with current efficiency to obtain the overall pressure ratio. By applying the full-working condition performance prediction method to design and optimization of the compressor, the design cycle can be remarkably shortened, and the design cost is reduced.

The present invention proposes an ASM-based flight delay prediction and spillover analysis method. First, facing the problem of delay prediction, an MNR model is constructed to predict the delay by using information such as flight message data, departure time at the front station of the aircraft, aircraft type, whether there are VIPs, etc. Flight arrival time; secondly, facing the problem of delay contagion, use MPM to construct the symmetric model ASM of delay contagion, and define the concept of deformation gradient. If the deformation gradient is less than 0, it proves that the flight is not affected by delay. Otherwise, it means that the flight comes from its own factors or Delays have occurred due to the influence of external factors; finally, if affected by the impact, the MNR is improved based on the ASM model, and the transfer factor is introduced into each parameter of the MNR model to analyze the delay impact. On the basis of the impact analysis, the flight delay time is updated in real time , the equation of arrival delay can be updated in real time, fully considering the delay spread problem, the obtained result is more accurate and the calculation is faster.

The invention relates to a mobile node parameter adaptive track prediction method. The influences of environmental factors on nodes under a dynamic sea condition are considered; the adaptability to a variable environment is fully considered specific to the requirement of a sea moving object on a positioning method; and the motion situations of beacon nodes are introduced into node motion track prediction. After a motion track is determined, a sampling region and a sample point weight are determined on the basis of an improved Monte Carlo method. Information about relative positions with one-hop and two-hop beacon nodes in the motion processes of unknown nodes is taken as a filter condition, so that the sampling rate, sampling speed and positioning accuracy are increased. The adaptive track prediction method can be established according to environmental changes. The motion tracks of the unknown nodes are predicted through effective utilization of the motion situations of sea area beacon nodes, and an improved Monte Carlo positioning method is put forward in combination with motion characteristics, so that the sea dynamic node positioning capability can be enhanced, and the sea search-rescue speed and success rate are increased.

Provided are a treatment liquid for a trivalent chromium conversion coating, achieving excellent corrosion resistance and scratch resistance without containing a cobalt compound, with high stability and adequate consideration for environmental issues; and a method for treating a metal substrate using the same. Provided is a treatment liquid for a trivalent chromium conversion coating on the surface of a metal substrate comprising: a trivalent chromium compound; titanium lactate; one or more compounds of transition metal other than cobalt; two or more organic acids or organic acid salts, and at least one ion species selected from chloride ions, nitrate ions, and sulfate ions; but no cobalt compound.

The invention discloses a target detection method applied to an unmanned ship perception system, comprising the following steps, step 1: collecting image data; step 2: performing preprocessing; step 3: building a neural network structure; The final image data is optimized; step five: through the judgment module, the accuracy of the data optimized in step four is tested. The data with the preset accuracy rate is sent to step six; step six: encapsulate the data; step seven: visualize the packaged data through the display module; step eight: according to the identification and analysis of the environment in the visual interface, adjust the wireless through the adjustment module The driving state of the ship. The invention can use a large amount of training data to enable the neural network to classify the photographed pictures according to "experience", so that the recognition accuracy is high, the real-time performance is good, and the robustness is good.

The invention discloses a planar antenna near-field measurement method capable of reducing truncation errors, which comprises the steps of obtaining a plane wave spectrum output by a probe through inverse Fourier transform according to an electric field received by the probe; carrying out probe correction; calculating the credible spectral domain of the plane wave spectrum of a to-be-measured antenna according to the emission spectrum of the to-be-measured antenna and a spectral domain filtering function; obtaining an aperture electric field of the to-be-measured antenna through Fourier transform according to the credible spectral domain of the plane wave spectrum of the to-be-measured antenna; performing inverse Fourier transform according to the aperture electric field of the to-be-measured antenna to obtain a scalar form of the plane wave spectrum of the to-be-measured antenna and an electric field located between the to-be-measured antenna and the scanning surface; introducing additional row or column measurement, and calculating an electric field located at the position of an additional row or column probe; calculating an iterative error for each additional row or column measurement; and repeating until the nth iteration error is greater than the (n-1)th iteration error, and terminating iteration. According to the invention, the truncation error problem in planer near-field measurement is reduced based on a band-limited function extrapolation algorithm.

The present invention provides a feeder terminal fusion communication method and device that integrates customer front-end equipment, including: acquiring the FTU data transmission value of the serial port link in a first preset time period, and the first preset time period includes The first FTU transmission time point and the second FTU transmission time point; obtain the encryption delay time of the customer front-end equipment, and generate respectively based on the encryption delay time, the first FTU transmission time point and the second FTU transmission time point The first CPE transmission time point and the second CPE transmission time point; respectively generate a second preset time period based on the first CPE transmission time point and the second CPE transmission time point, and obtain communications within the second preset time period The CPE data transmission value of the link; the FTU data transmission value is input into the pre-fitted linear model to obtain the CPE data pre-measurement value, if the CPE data transmission value is the same as the CPE data pre-measurement value If the absolute value of the difference is greater than the standard value, a reminder message is sent to the master station side.