32results about How to "Simplified calculation procedure" patented technology

The invention relates to a method for predicting dissolved oxygen saturation in a downstream water body of a high dam, in particular to a BP (back propagation) neutral network-based method for predicting the dissolved oxygen saturation in a water body. The method is characterized in that a three-layer BP neural network model is built to predict the dissolved oxygen saturation in a downstream designated area of the high dam. The method comprises the main steps as follows: (1) determining the main influencing factors of downstream dissolved oxygen of the high dam, and taking the main influencing factors as input variables of the BP model; (2) sample data acquisition: using monitoring data of the downstream designated area of the high dam as a learning sample; (3) BP neural network training: inputting the sample data obtained in step (2) in the three-layer BP network for training, comparing the output value of the network with the actual monitoring value until the mean square deviation of the network training meets the requirement, and determining the weight and the threshold value of the network; and (4) using the BP neural network, which passes the test, to predict the dissolved oxygen saturation of the downstream designated area. The method provided by the invention applies the neural network technology to prediction of dissolved oxygen saturation of the water body of the downstream designated area of the high dam, and solves the problem of quickly predicting the dissolved oxygen of the downstream designated area of the high dam.

The invention discloses a system and method for predicting the passenger flow volume of railway stations. The method includes establishing a trip production calculating model according to different land usage trip rate, land usage and population, calculating trip generation and trip attraction of lands of different usage, obtaining a full-mode traffic distribution matrix through a bi-constraint gravity model, obtaining trip sharing ratio of railway stations through a multi-level dividing method, with urban investigation data and a distance transfer curve method, and calculating a railway traffic distribution matrix. A geographic information system is employed to establish road network set and create passenger flow attraction areas with reasonable distance of different attraction areas as impedance. The passenger flow attraction scope of railway stations are defined to obtain the alighting scale of the railway stations of each attraction scope, and the passenger flow volume of the railway stations can be calculated through a railway station alighting scale calculation model.

The invention relates to a prediction method for dynamic characteristics of a fluid conveying multiwalled carbon nanotube, in particular to the field of the dynamic characteristics of carbon nanotube conveying systems in the field of micro nano electromechanical systems. The method comprises the following specific steps: setting a governing equation module, a Galerkin discrete module, a characteristic value solving module and a result output module during a computation process, and finally completing the prediction of the dynamic characteristics of the fluid conveying multiwalled carbon nanotube. Firstly, a method of classical macroscopic continuum mechanics is expanded to research a micro nano conveying system, and secondly, dynamic behaviors of a coupled system are researched by means of the power system bifurcation theory so as to ensure the stability of the micro nano conveying system.

The memory control system includes a memory unit, bus master(s), arbiter, and memory controller. The bus masters output bus use request signals, block mode signals, block information, and drive information for data and outputs data corresponding to block/receive read-out data. The arbiter receives request signals and drive information and outputs a master selection signal used to select a bus master to which access is permitted and the drive signal input from the selected bus master. The bus master selection unit receives block mode signals, block information and data corresponding to the bus masters and outputs the block mode signal, block information and bus master data selected according to the master selection signal. The memory controller receives drive information from the arbiter, block mode signal, and block information from the selection unit, and allows data corresponding to respective line block groups to be sequentially-stored in/read out from respective banks.

A method is provided for measuring an absolute steering angle Φ of a steering shaft for a vehicle, using a first rotatable body that rotates together with the steering shaft of the vehicle at a predetermined rotation ratio. The method includes obtaining a Ψ_M′ value by measuring a relative rotational angle Ψ′ of the first rotatable body using an angle sensor having a measurement range of Ω. The method also includes obtaining a present value for a frequency i-value of the first rotatable body by comparing the present Ψ_M′ value to a previous Ψ_M′ value. The method also includes obtaining a present value for a absolute steering angle Φ1 of the steering shaft from a present value for an absolute rotational angle Ψ of the first rotatable body by using the ψ_M′ value and the present i-value.

The present invention relates to a method and apparatus that obtain error correction data by adjusting the LOS vector of a sensor, and assign precise ground coordinates to respective image coordinates of an image using the error correction data and auxiliary data for the image.

In the method of correcting geometry of an image using a LOS vector adjustment model of the present invention, an image, obtained by photographing a ground surface, and auxiliary data for the image, are acquired. Ground coordinates for a ground control point, and image coordinates of the image matching the ground coordinates are acquired. A LOS vector of a sensor of a photographing device is adjusted, thus obtaining error correction data. The auxiliary data and the error correction data are applied to LOS vector adjustment models, and ground coordinates are assigned to respective image coordinates of the image, thus performing exterior orientation.

The invention belongs to the power system field, and especially relates to a power supply line arc light earth fault range finding method; most power supply line earth faults belong to arc light earthing; after a fault line is in power failure, a DC current generator charges the line so as to boost a line voltage to earth; a fault point can be broken again when reaching a fault breakdown voltage, and the fault point fast turns to a low resistance state from a high resistance state; line distribution capacitance discharges through the breakdown point, and the voltage on the line suddenly drops. The line is considered to be a dynamic system; a line dynamic model is set up; a dynamic system parameter identification method can identify line dynamic model parameters according to a current and voltage sampling series on the line, thus calculating a fault range according to the model parameters.

The invention relates to the field of computing load data of a power grid transformer. Especially, the invention relates to a load density optimization calculation method based on large data of electric power. The invention skillfully converts the longitude and latitude coordinates of the vertices of any irregular region by plane transformation, and converts the area calculation problem of the region into the calculation of the polygon area. The invention can calculate the area density of any frame selected area, so that the power supply company can quickly grasp the power generation data at the peak time of the power consumption in the load hot spot area, which is of great significance to the safe operation of the regional power network.

The invention discloses a body temperature reporting management method based on an APP application module, and the method comprises the following steps that the APP application module comprises a photographing unit which is provided with a photographing background and is provided with a calibration frame, and the photographing unit comprises a mercurial thermometer photographing unit and an electronic thermometer photographing unit; when the thermometer is a mercurial thermometer, the 35.0 DEG C scale line of the mercurial thermometer corresponds to the minimum scale line of the calibration ruler, the 42.0 DEG C scale line corresponds to the maximum scale line of the calibration ruler, and a first target image is obtained; when the thermometer is an electronic thermometer, the temperatureinformation is placed in a calibration frame for photographing to obtain a second target image; and temperature data corresponding to the tester is obtained according to the first target image or thesecond target image of the tester and sent to the server. The temperature data is obtained through the thermometer image, the accuracy of body temperature report data can be effectively improved, andmonitoring and management of the individual body temperature are achieved.

The invention relates to a similarity calculation method based on the characteristics of tactical technical indexes, belonging to the field of military equipment training. The concept of similarity isintroduced to objectively describe the relationship between self-equipment simulation and bluearmy equipment simulation. Establish similarity evaluation system according to the characteristics of actual combat technology index, optimize and screen each subsystem and combat technology index; Aiming at the accurate value of the actual combat technical index, Interval values, enumeration values, Four types of non-value, namely, accurate value, interval value, enumeration value and non-value, are established, and the concept of weight is introduced to solve the problem of weight through the principle of consistency sorting, so as to establish a system-level similarity model, by which the similarity between the constructed equipment and the prototype equipment can be obtained, which provides abasis for the simulation mapping of their own equipment to the Blue Army equipment. The main purpose of this paper is to calculate the similarity between the built-up equipment and the prototype equipment in the 'red-blue confrontation' of military exercises, so as to judge whether the equipment of our side can simulate and map the equipment of the enemy.

The invention provides a general water disaster loss model building method. The method includes the steps that according to survey data, horizontal coordinates are used for representing disaster-inducting factors, vertical coordinates are used for representing water disaster losses, and a water disaster loss S-shaped curve functional relationship with a physical mechanism is built; the S-shaped curve functional relationship is described quantitatively by using a mathematics means, and a replacement function of a water disaster loss S-shaped curve is built; water disaster loss function parameters are determined according to mathematical expression of a water disaster loss function and characters of the S-shaped curve. According to the general water disaster loss model building method, due to the fact that the general water disaster loss function with the physical mechanism and a corresponding parameter system of the function are built, a simple and formal water disaster loss calculation method is formed, the water disaster loss calculation procedure is simplified, and the result is more accurate and more credible. Corresponding parameters in the function can be used and popularized in the area with similar features or when future disaster losses are predicted and extension in area and update in time are achieved.

The invention relates to a breaker rigid opening point detecting method and system based on an opening pressure curve. The method comprises that 1) a pressure-time curve and a displacement-time curve in the opening process are obtained; 2) a minimum value of the pressure-time curve is calculated, and a moment tm corresponding to the position of the minimum value is recorded; and 3) the displacement-time curve is searched for a point Sm according to the corresponding moment tm, data {Sk-Sm} is processed, Sk serves as the initial value of the data, the speed corresponding to the data is calculated, and the position Sc where the speed is maximal serves as a practical rigid opening point. The method is scientific and effective, a calculation result is accurate, and the working state of a breaker can be monitored in real time.

The invention discloses a method for eliminating a sampling delay error in a motor system controlled by a single current sensor. The method comprises the following steps: 1, installing a single current sensor between a switching tube Q1 and a switching tube Q3 to construct the circuit topological structure of the single current sensor, 2, deducing a delay error expression [Delta]iSDE when sampling delay exists according to a PMSM three-phase current expression, 3, constructing a delta-gamma reference coordinate system, 4, based on the [Delta]iSDE and the delta-gamma reference coordinate system, converting the [Delta]iSDE into the delta-gamma reference coordinate system through coordinate transformation to obtain error components [Delta]i delta and [Delta] i gamma, and 5, directly filtering second harmonic components in [Delta] i delta and [delta] i gamma by applying a notch filter, and compensating a sampling delay error. According to the method, the sampling delay error in the single current sensor method can be eliminated without depending on motor parameters, and the phase current precision reconstructed in the single current sensor technology is improved.

The invention provides an electrical experiment report identification method and device. The electrical experiment report identification method comprises steps of extracting a region map with components from an electrical experiment report; adopting an envelope analysis method to carry out convex hull separation on the components in the region map, and extracting a component contour map needing tobe identified; extracting a sharpened edge graph from the component profile graph by using a LOG operator; selecting an orthogonal axis of the centroid of the sharpened edge graph, and rotating the main axis to a horizontal direction to form a principal component edge contour graph; and comparing the principal component edge contour map with a standard contour map to determine an identification result. According to the electrical experiment report identification method provided by the embodiment of the invention, the electrical component can be segmented from the scanning image, then the information of the electrical component can be identified, the experiment result information in the experiment report can be effectively identified, and the method is simple and effective, high in identification accuracy, small in calculation amount and high in operability.

A measuring device includes a sensor generating a sensor signal in dependence upon a detected measured variable, a compensating facility generating a compensation signal in response to detected shocks, and an evaluating facility generating a measurement result from a difference between the sensor signal and the compensation signal. The compensating facility includes a multi-axis MEMS inertial measuring unit having an acceleration sensor alone or together with a gyroscope and generating a plurality of movement signals in correspondence to a number of axes, and a computer including a computational model trained to model an unwanted signal portion of the sensor signal in response to the shocks caused by the movement signals, and to output the unwanted signal portion as a compensation signal. The computational mod& is trained such that absent a measured variable, the difference between the sensor signal and the compensation signal is zero or is below a predetermined threshold.