83results about How to "Clear analysis" patented technology

The invention discloses a power grid harmonic wave monitoring method. The power grid harmonic wave monitoring method includes the following steps that: harmonic wave data of all typical harmonic waves of a power grid system are acquired; positions where the typical harmonic wave sources are connected into the power system are displayed on a geographic map, and the voltage and current of the harmonic wave sources are monitored; harmonic wave source analysis is performed on the voltage and current of the harmonic wave sources; the harmonic wave sources are graded, colored and displayed in real time according harmonic wave states based on national standards; and harmonic wave sources exceeding the standards are specially labeled, and commonly-used filtering methods and specific filtering parameters are labeled. According to the power grid harmonic wave monitoring method of the invention, the parameters of the typical harmonic wave sources of the power grid system are acquired, are analyzed and calculated; hierarchical display and early warning are performed on the harmonic wave sources based on the standards; the harmonic wave sources exceeding the standards can be correspondingly warned against; corresponding filtering methods and the parameters of filters are provided. With the power grid harmonic wave monitoring method of the invention adopted, the states of the harmonic waves of a power grid can be monitored, analyzed, displayed and warned against clearly and comprehensively, and filtering guide can be provided for the harmonic wave sources. The method is simple, efficient and reliable.

The present invention relates to an analysis and prediction method for dynamic performances of a rubber material structure, and particularly to a step-by-step analysis and prediction method for the dynamic performances of the rubber material structure. The step-by-step analysis and prediction method is used for performing finite element analysis and prediction of the high-frequency dynamic performances on the rubber material structure. The method comprises the following test and prediction steps: step one, fitting a super-elastic constitutive relation of the rubber material; step two, performing a viscoelasticity property test on the rubber material under different strain amplitudes; step three, fitting a viscosity constitutive relation of the rubber material; and step four, analyzing and predicating the dynamic performances of the rubber material structure. A calculation result is a final result, without the need of superposition of the calculation result, thereby reducing the computational difficulty and shortening the solution time; and an actual modeling and analysis process is more simple, clear, and easy to understand and operate, and has higher prediction accuracy, so as to meet the requirements of engineering analysis.

The invention relates to an antenna directional pattern testing method based on spherical surface near-field scanning extrapolation. Through near field testing, a far-field directional pattern can be obtained by subjecting obtained data to arithmetic extrapolation, so the testing distance is reduced and plane wave conditions required by cylindrical wave test are not required. A three-dimensional direction pattern obtained finally can analyze performance of an antenna more clearly and visually, and has great engineering practical value. The testing method can realize effective close-range antenna testing, saves testing cost, lowers testing difficulty, and meanwhile aims to obtain the three-dimensional direction pattern of a tested antenna so as to analyze performance of the antenna more accurately.

The invention relates to a wind farm time-frequency domain modeling method based on empirical mode decomposition (EMD). The method comprises the steps that obtained measured data of wind farm power is processed through EMD into a plurality of intrinsic mode functions (IMF) after being subjected to normalized filtering processing, hilbert transform is carried out on the IMFs respectively to generate corresponding time-frequency spectra, then the time-frequency spectra are respectively fitted, the fitting results are respectively subjected to hilbert transform to obtain time domain expressions, and the time domain expressions are summed to obtain a wind farm analytical model containing various fluctuation characteristics. According to the modeling method disclosed by the invention, the analytical model established in a time-frequency domain modeling means contains the typical fluctuation characteristic information of the wind farm, and the model is used for simulating the impact analysis of wind farm fluctuation with nonstationary randomness on network voltage and frequency.

The invention relates to an unicell detector based on a nano fiber probe, which comprises a nano probe, a light source unit, a micro operation system, an electricity detection unit, a cellular localization system and a photon detection unit, an innermost layer of the nano probe is a fiber layer, the outer wall of the fiber layer is wrapped with a nano ring electrode layer, and the outer wall of the nano ring electrode layer is wrapped with an insulating layer. A manufacturing method of the unicell detector based on the nano fiber probe comprises the steps of drawing, sputtering, making the insulating layer and cutting focused ion beam. The unicell detector has high sensitivity and can realize the unicell grade detection, compared with a traditional detection means by crushing millions of cells, the required cell sample amount is greatly reduced, and the success rate of disease detection at early stage can be increased. The unicell detector can perform in-vivo cell detection and can avoid the false appearance generation during a cell processing process. The space-time resolution and detectable target object scope can be greatly enhanced, and a biochemistry mechanism in the unicell enables real-time detection and analysis.

The invention discloses a power system transient stability situation assessment method based on random matrix theory, comprising the following steps: 1. Selecting power network state quantity data andconstructing system state matrix according to splicing matrix method; 2, according to the state matrix constructed in the step 1, combining the real-time sliding time window to construct a random matrix; 3, calculating that average spectral radius kVS of the random matrix obtain in the step 2 according to the random matrix theory; 4, if that kVS (t) is less than beta; kVS, N, the system is in anabnormal state; Otherwise in a normal state; If the system is in an abnormal state, judging whether the kVS value decreases continuously with time, and if the kVS value decreases continuously and reaches 80% of Beta- kVS, the transient instability of the system is judged. The invention considers the power network history and real-time state quantity data, can judge whether the system has transientinstability, and the analysis process is definite and applicable, which is convenient for practical engineering use.

The invention relates to an intelligent outbound system and an intelligent outbound method, the intelligent outbound system comprises a list module, a strategy module, an activity module, an IVR module, an AI robot, a collection module and a monitoring module, and the list module is used for determining an outbound to-be-played list; the strategy module is used for setting an outbound strategy; the activity module is used for setting an outbound time range and holiday rules, allocating a list, establishing an outbound task and allocating an outbound platform; the IVR module is used for settinga scene scheme and a corresponding voice broadcast scheme; the AI robot is used for recognizing voice and intention of a client and feeding back a recognition result to the IVR module; the collectionmodule is used for collecting and analyzing outbound task related data; the monitoring module is used for monitoring operation data of the whole intelligent outbound system. Compared with the prior art, the outbound data can be automatically distributed, the voice broadcast scheme can be flexibly set, the outbound link monitoring function is achieved, and flexible switching between the outbound platform and the application is achieved.

A motion analyzing apparatus includes a first calculation unit that calculates a position of a first line segment representing a direction in which a rod-like part of a sporting tool extends in a stationary state, a second calculation unit that calculates the position of the first line segment at hitting, and a third calculation unit that specifies a virtual plane formed by the first line segment in the stationary state and a second line segment representing a ball hitting direction, wherein a relation between the virtual plane and the first line segment at the hitting is compared.

The invention discloses a zero-blind area range finding system which addresses large TOF range finding blind area, slow updating speed, susceptibility to great environment influence and poor anti-interference capability in the prior art. According to the invention, the system herein includes a laser emitting circuit, an echo acquiring circuit, a laser emitting triggering circuit, a 25 Khz digital filtering circuit, a time difference measurement circuit, an echo compensating circuit, an APD drive circuit, a precision optical module, and a high speed FPGA control circuit which may generate a high precision difference narrow pulse signal and a PWM frequency signal which has adjustable 25 Khz duty ratio. According to the invention, the system has the characteristics of high speed drive, zero-blind area measurement, high signal-to-noise ratio, high precision range finding, super-high speed measurement frequency, and no eye damage. The system also has the advantages of high environment identification and super-high sunlight resistance capabilities.

Disclosed is a control method for reducing a grid system peak value average load rate. Each customer conducts electricity demand response to an electricity price published by an electrical supplier so as to obtain maximized profit (the profit is defined as cost difference of electricity utilization benefit and electricity utilization paying). The electrical supplier decides the real-time electricity price according to predicted response of the customers to the electricity price so as to obtain maximum profit. For the customers, based on an aim of the maximized profit, a perfect expression exists between the optimum electricity demand response and the electricity price, and therefore each customer can rapidly reply the desirable optimum electricity demand response through the expression according to the electricity price published by the electricity supplier. For the electricity supplier, the problem of non convex optimization of the electricity price is solved according to a price control algorithm based on simulated annealing. According to the control method for reducing the grid system peak value average load rate, the conditions that an existing grid system is wavy in a large amplitude in electricity consumption between a non peak period and a peak period, and the peak value average load rate is high are effectively avoided.

The invention provides a side slope three-dimensional bottom friction testing device and belongs to a testing device for simulating side slope damages. The side slope three-dimensional bottom friction testing device is composed of a side slope model, a friction device, a horizontal loading device and a basic framework, wherein the side slope model can be an entity with a plurality of steps and is packed in a rectangular box body; the friction device is arranged at the bottom of the side slope model; and the horizontal loading device is arranged at the back part of the side slope model. By utilizing the friction device at the bottom and the loading device at the back part, a shear force generated when a side slope is damaged is simulated, so that a condition that the three-dimensional side slope model is damaged under natural or manual conditions is simulated. The testing device provided by the invention is simple in structure and low in manufacture cost, can be used for clearly observing a damaging manner of the side slope, and also can be used for relatively accurately determining damage data and effect of the simulated side slope model.

The invention discloses a disassembling method for a single-chip microcomputer. Instructions can be analyzed distinctly and quickly according to operation code layer-by-layer analysis instructions of an assembly language instruction system, address labels are added to skipped addresses and called addresses to facilitate program reading, an assembling device can be used for reassembling, and a machine code is analyzed twice to simultaneously generate an LST list file and an ASM reassembled file. Using the disassembling method for the single-chip microcomputer is contributive to checking and optimized compiling of the machine code after source code compiling, and can be used for finding lost source code.

The invention discloses an IIDG high-permeability small-resistance grounding system single-phase grounding fault analysis method and belongs to the field of power system relay protection. The method comprises the following steps of determining an IIDG equivalent model according to an IIDG (Inverter-Interference Disturbed Generators) grid-connected control strategy and low-voltage ride-through technical requirement, and establishing an IIDG equivalent model according to the IIDG equivalent model; determining a grid-connected mode by integrating operation safety and protection principles, establishing an equivalent zero-sequence network of the multi-IIDG grid-connected system, and selecting a proper IIDG grid-connected grounding resistance value by combining personal safety and protection requirements; analyzing zero-sequence current amplitude and phase characteristics of the IIDG high-permeability small-resistance grounding power distribution network during single-phase grounding fault,and discussing high-resistance grounding fault characteristics.

The invention provides a metallographic corrosive agent for double-phase medium manganese steel and a metallographic structure display method. The metallographic corrosive is a mixed solution formed by copper chloride dihydrate, concentrated hydrochloric acid, absolute ethyl alcohol, sodium chloride, concentrated sulfuric acid and water. The metallographic structure display method comprises the following steps: providing a double-phase medium manganese steel sample; manually grinding and mechanically polishing the double-phase medium manganese steel sample; immersing the polished medium manganese steel sample in a metallographic corrosive at the temperature of 20 to 30 DEG C, slightly rotating and stirring, corroding for 10 to 20 s and then taking out; and cleaning the corroded medium manganese steel sample with detergent, alcohol and clear water sequentially and blow-drying, and carrying out observation through a metallographic microscope. The metallographic corrosive is simple in preparation method and convenient to use, the corrosion effect is good through the method, and the austenite ferritic structure effect of the two-phase medium manganese steel material can be clearly analyzed.

An identification method includes: sensing movement data; capturing multiple feature data from the movement data; cutting the first feature data into a plurality of first feature segments, dividing the first feature segments into a plurality of first feature groups, and calculating multiple first similarity parameters of the first feature groups respectively corresponding to a plurality of channels; making the first feature groups correspond to the channels according to the first similarity parameters; simplifying the first feature groups corresponding to the channels respectively by a convolution algorithm to obtain a plurality of first convolution results corresponding to the first feature groups; simplifying the first convolution results corresponding to the first feature groups respectively by a pooling algorithm to obtain multiple first pooling results corresponding to the first feature groups; and combining the first pooling results corresponding to the first feature groups to generate a first feature map.

The invention discloses a teaching experiment system based on the Internet of things technology, which comprises a controller management module and a controller module, wherein the output end of the controller management module is connected with the controller module; the output end of the controller module is connected with a virtual device library, a circuit fault diagnosis module and a visual interactive interface; the controller module comprises an embedded controller and a PLC controller; the embedded controller is connected with the PLC controller through an SPI bus; the controller management module comprises a Labview control module; the data end of the Labview control module is connected with a data acquisition card; and the output end of the controller management module is connected with a system server through a local area network. The experiment system can meet application of the Internet of things technology teaching and can also meet requirements of extracurricular practice such as course design of a student, and the student can be trained with the self learning ability and the creation spirit conveniently.

The invention relates to a heat map system based on the advertisement putting quantity. The heat map is characterized by comprising a server and a front end. The front end comprises a map heat request module, a map data receiving module and a map data display module. The server comprises a request receiving module, a data analysis module, a map module, a picture composition module and a push module. According to the heat map system based on the advertisement putting quantity, statistics is conducted according to the advertisement putting quantity, and therefore an advertiser can work out hot zones and advertisement putting conditions more clearly through analysis.

The invention discloses a method for analyzing drug resistance of tumor cells. The method comprises the following steps: (a) providing polysaccharide-based nanoparticles; (b) adding the polysaccharide-based nanoparticles into a tumor cell culture medium; and (c) detecting the affinity of the tumor cells and the polysaccharide-based nanoparticles marked by functional molecules. According to the analysis method, the drug-resistant tumor cells can be clearly, visually and efficiently analyzed; after the polysaccharide-based nanoparticles and tumor cells are jointly hatched, a flow cytometer or alaser confocal microscope is adopted for detection, the drug resistance of the tumor cells and the proportion of drug-resistant cells are judged according to a detection result, and the method is simple and efficient.

The invention discloses a method for measuring speed of vacuum cold-spraying particles. The method comprises the following steps: firstly, collecting a voltage signal generated when the vacuum cold-spraying particles fly by using a hardware collecting card; then, storing the collected particle voltage signal to a computer by way of memory mapping; and finally analyzing and calculating the speed of the vacuum cold-spraying particles, namely firstly, filtering the particle voltage signal, then, intercepting an effective particle waveform by virtue of a rectangular function and fitting the particle waveform by virtue of a least square method, and finally, carrying out waveform calculation after analytic fitting to obtain the speed of the vacuum cold-spraying particles. The method for measuring the speed of the vacuum cold-spraying particles disclosed by the invention integrates parameter collection and data analysis and collects, displays and analyzes the particle waveform data in real time, so that the work efficiency of a researcher is improved and particle parameter collection has continuity. In addition, when the particle signal data are analyzed in real time, clutters in the particle signal can be filtered, so that the accuracy of particle speed detection is improved.