33results about How to "Small data requirements" patented technology

The invention discloses a power supply and distribution intelligent detection system for a ship. The power supply and distribution intelligent detection system comprises an on-off detection module, an electric quantity acquisition module, an industrial controller, a power supply module and a CAN (Controller Area Network) bus, wherein the electric quantity acquisition module comprises a three-phase intelligent ammeter and a current acquisition module; the on-off detection module and an electric parameter detection module are used for detecting the electric parameter of each transmission line of a main power distribution board, the on/off states of a circuit breaker and a fuse, the closure situations of the relay and the contactor, and the contact position of a control switch. Acquired data are uploaded to the industrial controller through the CAN bus, and the industrial controller is used for making analysis and judgment through circuit fault diagnosis software based on a continuous hidden Markov model and performing short-term state prediction on the power supply and distribution system of the ship through a prediction mechanism based on a grey model. The power supply and distribution intelligent detection system has the beneficial effects that by adopting modular design, high portability and high generality are realized; fault points are accurately located to fault devices, thereby increasing the detection accuracy; the grey model prediction mechanism is self-adaptive.

The invention relates to an automatic assembly method for a three-dimensional ship modeling part, which judges the accurate component attribution of the part thereof and two components with the same component name and different installation positions by taking a part code and gravity center data as a basis and taking a principle that the average gravity center distance sum of parts in the component is smallest as a reference. The method has the advantages of simple principle, little data demand and fast analysis process, is proved by using of having the judgment accuracy rate of 100 percent, is an optimal analysis method for developing a ship body automatic assembly program, is suitable for assembly analysis of the ship body part, also has certain reference value to assembly analysis of other industries and specialties and is a new assembly analysis method.

The invention provides a method for rapidly analyzing ecological water need season difference. Aiming at the deficiency that different types of ecological water need computation methods can not rapidly analyze the ecological water need time difference under the condition of the lack of ecological and hydrological related information of an ecological system at present, an ecological target the ecological system of which changes following the time is divided into a critical period ecological target and a water need quantity and time change target. The requirement of the biological reproduction period with obvious contradiction of ecological need water and production need water on habitat environment factors is used as a critical period ecological target, and the critical period ecological water need quantity is determined; and an average natural runoff annual time change rate for years is used as a critical period ecological target, finally, the ecological water need season difference isdetermined, thereby meeting the requirement of rapidly analyzing the ecological water need season difference. The invention avoids complex computational effort and information quantity demand and effectively achieves the purpose of rapidly analyzing the ecological water need season difference.

The invention relates to an information diffusion-based small watershed mountain torrent disaster risk analysis method. According to the method, an information diffusion theory is introduced; based onlimited historical mountain torrent data, set-valued processing is performed on samples with monodromy observation values under incomplete information conditions, so that the samples can be transformed into fuzzy set-valued samples with fuzzy uncertainties; a mountain torrent disaster information matrix is established; the calculation of Pearson's III type curve, exceedance probability and confidence is introduced; and therefore, the quantitative assessment of a mountain torrent disaster risk can be carried out rapidly, and a result is closer to actual situations. With the method of the invention adopted, the objectivity and scientificity of the analysis result of the mountain torrent disaster risk can be improved.

The invention relates to a method and a device for monitoring short-circuit capacity on line, in particular to the method and the device for monitoring the short-circuit capacity on line based on dynamic transfer impedance. The method comprises the following steps of: (A), replacing the conventional form of a single power supply of an equivalent target of a power system with a form of a multi-power supply to a single load node; (B), computing a pure network admittance matrix of a system according to the power grid topology information, and converting the pure network admittance matrix into an order increasing form in an X-Y coordinate; (C), aiming at power supply nodes and a load node, amending the network admittance matrix; (D), computing the dynamic transfer impedance from each power supply node to the load node; and (E), computing the internal electric potential of each power supply node according to the measured values of a power angle, terminal voltage, terminal current and the like of a motor in the running process of the system, thus computing the short-circuit capacity value of the nodes. As the method and the device are based on the dynamic transfer impedance, the change of the short-circuit capacity of the nodes can be traced quickly and precisely without any hypothesis or approximation, and the method and the device have promotional and applicable value.

The invention provides a method for forecasting mid-long-term electricity consumption in combination with a population index. The method is characterized by comprising the steps of firstly, obtaining electricity consumption of each user and a resident population number in each of past k years in a to-be-forecast region; secondly, calculating a per-capita electricity consumption forecasting value by considering a per-capita electricity consumption increment coefficient; thirdly, calculating a resident population number forecasting value; fourthly, multiplying the per-capita electricity consumption forecasting value by the resident population number forecasting value to obtain a forecasting value of the sum of electricity consumption of residential users and commercial users; fifthly, calculating electricity consumption forecasting values of industrial users, electricity consumption forecasting values of non industrial users and electricity consumption forecasting values of other users; and finally, calculating a total electricity forecasting value. The forecasting method is simple in algorithm, can reduce data demand amount, is high in operability, effectively grasps key points of electricity consumption forecasting for different electricity users, is high in forecasting result precision, and can provide marketing decision support for power supply enterprises.

The embodiment of the invention discloses an optimization method and an optimization device for an electricity consumption prediction model. According to the method and the device provided by the embodiment of the invention, influences on electricity consumption by annual electricity consumption, the quantity of heavy industry enterprises, the quantity of light industry enterprises, the quantity of institutions, population and GDP speed increase are fully considered, key points of electricity consumption prediction of various types of power consumers are effectively grasped, the complexity of an algorithm is reduced, the demanded quantity of data is reduced, operability is greatly improved, and the problem that existing research method only research an own development and change law of electricity consumption is overcome, so that a prediction result is more objective and accurate; the prediction result is high in accuracy, and thus a marketing decision support can be provided for power supply enterprises, safe and economic operation of a power grid and steady development of an electricity market are ensured, the complexity of the algorithm can be reduced, the demanded quantity of data is reduced, the operability is greatly improved.

The invention discloses a library construction method and reagent for pooling of large-sample-size PCR products based on high-throughput sequencing. The library construction method comprises the following steps: separately subjecting each of a plurality of PCR products derived from DNAs of different samples to annealing with a random primer having a tag sequence and carrying out an isothermal amplification reaction under the action of an isothermal amplification enzyme; mixing isothermal amplification products derived from different samples and carrying out piece selection on the mixed products; subjecting the products of the piece selection to repairing of 5' phosphorylated blunt ends and A addition reaction of 3' ends; connecting the products with linker sequences so as to obtain ligation products capable of distinguishing library information; and subjecting the ligation products to PCR amplification to obtain a library applicable to high-throughput sequencing. The method provided bythe invention realizes pooling without dependence on an ultrasonic breaking instrument, is lowered in library construction cost and complexity, reduces data waste, and improves the base randomness and coverage depth uniformity of sequencing data, thereby reducing the sequencing cost of a single sample.

The invention discloses a quick detecting method for a harmonic wave of an electric power system, and particularly relates to a method for detecting phase and amplitude of signals with different frequencies in the electric power system. The method comprises the following steps of (1), acquiring sampling points of which the number is at least two times of that of the harmonic waves through using two times of highest multiplied frequency as a sampling rate; (2), constructing a sine signal and a cosine signal which correspond with each harmonic wave frequency; (3), calculating a harmonic wave detecting parameter through fitting the coefficient before each sine item and cosine item; and (4), combining the coefficients in front of the sine item and the cosine item with the same frequency for obtaining the amplitude and the phase of the harmonic wave with each frequency. Compared with the prior art, the quick detecting method is advantageous in that a small volume of data are required; a result can be calculated just through the data with length of one half of that of a fundamental frequency signal; relative to an FFT (fast Fourier transform) method, a problem of frequency leakage can be prevented; and the method is compatible with clutter interference to a certain extent.

The invention discloses a supportability simulation output result credibility evaluation method based on an echo state network. The method comprises the steps of S1, analyzing the supportability simulation credibility influence factors; S2, quantifying the influence factors and the corresponding simulation results; S3, setting the factor combination to generate a data set; S4, constructing the echo state network; and S5, training, testing and using the echo state network. The method has the advantages that the limitation that the traditional method for evaluating the credibility of the simulation output result based on similarity or confidence must depend on the comparison with the reference data is avoided; the training speed is high, the flexibility is high, and the data demand is small; a new method is provided for researching the credibility of the complex device supportability simulation, and powerful support is provided for the application of the supportability simulation in model development.

The invention discloses a construction method and device and for a high-precision facial expression library, equipment and a storage mediumconstruction method, device and equipment of a high-precisionfacial expression library and a storage medium, and relates to the field of image processing. The method comprises the following steps: acquiring high-precision face data and low-precision face data;constructing an expression base based on the high-precision residual data of the high-precision face data; screening target low-precision residual error data from the low-precision residual error data based on a fitting result of the expression base to the low-precision residual error data of the low-precision face data, with the fitting error of the target low-precision residual error data beinghigher than the fitting error of other low-precision residual error data; and t. The expression base is iteratively updated through the target low-precision residual data and the high-precision residual data, so that a high-precision facial expression library can be obtained, and the high-precision facial expression library is the expression base obtained when iteration is ended. The data demandfor high-precision face data is reduced while the precision of the high-precision face expression library is ensured, so that the construction cost of the high-precision face expression library is reduced, and the construction efficiency of the high-precision face expression library is improved.