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111results about How to "Capture more" patented technology

Wind power field grade yawing dynamic optimization method and system for sector adjusting and control

The invention relates to the technical field of wind power field control, in particular to a wind power field grade yawing dynamic optimization method for sector adjusting and control. The method comprises the steps that onsite monitoring data of each wind power generator are obtained; payload data for expressing the part payload situation of all wind power generators are obtained; aiming at a plurality of pre-divided sectors, based on the onsite monitoring data and the payload data, whether wind power generators are influenced by wake flow of the other wind power generators in the corresponding sectors is judged one sector by one sector; and the wind power generator which is influenced by the wake flow is subjected to yawing optimization control so that the corresponding wind power generator can reach the optimal power and optimal payload under control of a yawing motor. The invention further relates to a wind power field grade yawing dynamic optimization system for sector adjusting and control. According to the wind power field grade yawing dynamic optimization method and system for sector adjusting and control, new yawing control strategies are made aiming at the wind power generators influenced by wake flow so as to ensure the effect that the wind power generators can also capture more wind energy when are influenced by the wake flow, and meanwhile, payload increasing is reduced.
Owner:GUODIAN NEW ENERGY TECH INST +1

Voice keyword recognition method based on end-to-end, device thereof and equipment

The invention discloses a voice keyword recognition method based on end-to-end, a device thereof and equipment. The concept of the invention is to combine with an end-to-end thought; according to themethod, a pre-built keyword recognition network is directly fitted from the features to the target, so that the recognition process is simpler and more efficient, the superposition effect of adverse effects can be avoided, meanwhile, the keyword recognition network is easier to achieve global optimization, the development cost can be effectively reduced, and therefore, the method has a higher practical value in an actual business scene. According to the invention, an acquisition strategy of identification features is improved; therefore, the pronunciation characteristics adapting to the business scene can be fully represented; therefore, more potential key information can be captured; in addition, the keyword recognition network architecture provided by the invention can utilize the context information from the acoustic perspective, so that the defect that the existing scheme only performs recognition through an isolated pronunciation sample is fundamentally overcome, and the processing effect of locking the keywords from the audio is further obviously improved.
Owner:合肥讯飞数码科技有限公司

Micro-energy system with high weight ratio energy density and method and application thereof

The invention relates to a micro-energy system with a high weight ratio energy density, a method and application. The invention is characterized that the construction of the system comprising the following steps of: (1) sputtering and growing an Al film on the back surface of a GaAs battery; (2) sputtering and depositing nitrogenized Ni-Co on the surface of Al film, wherein the general formula is ComNi1-mN, and m is more than 0 and less than 1; (3) sputtering and depositing a Li1.3Ti1.7Al0.3(PO4)3 film on the surface of the nitrogenized Ni-Co film; (4) depositing a metal Li film on the Li1.3Ti1.7Al0.3(PO4)3 film; (5) sputtering a layer of Cu film on the surface of the Li film; and (6) during sputtering of the steps (2)-(5), firmly attaching a stainless steel mask plate to the Al surface of an uncovered multi-layer film on the surface of the Al film, arranging an energy management circuit and an RF (Radio-Frequency) transceiving module in sequence, and connecting the anode of the GaAs battery, the anode of the Li battery, the output end of the energy management module and the output end of the RF transceiving module with a metal wire. According to the invention, the high weight ratio energy density can be up to 438wh/kg, the system can work for 5 days continuously on cloudy days, and a technical measure is provided for long-time power supply and field application of the node miniaturization of the Internet of things.
Owner:SHANGHAI INST OF MICROSYSTEM & INFORMATION TECH CHINESE ACAD OF SCI

Virtual power plant optimal scheduling method considering electricity-to-gas coordination

The invention relates to the technical field of virtual power plant optimization, in particular to a virtual power plant optimization scheduling method considering electricity-to-gas coordination, which comprises the following steps: introducing a carbon capture power plant electricity-to-gas gas unit coordinated operation framework into a virtual power plant, and constructing a virtual power plant system; performing combined scheduling operation of a carbon capture power plant, a waste incineration power plant and wind and light in a virtual power plant, optimizing a virtual power plant system by taking the carbon capture power plant and the waste incineration power plant as controllable units, and establishing a virtual power plant optimal scheduling model; and solving the virtual powerplant optimal scheduling model by adopting a reverse cotangent composite differential evolution algorithm. CO2 captured by carbon can be used as an electricity-to-gas raw material, and generated natural gas is supplied to a gas unit; and the carbon capture energy consumption and the flue gas treatment energy consumption are subjected to load transfer through combined scheduling so as to stabilizerenewable energy fluctuation, so that the wind power photovoltaic is indirectly schedulable and is flexibly utilized, and internal resources are more effectively utilized.
Owner:EAST CHINA JIAOTONG UNIVERSITY

Micro-energy system with high energy density per unit volume and fabrication method thereof

The invention relates to a micro-energy system with high energy density per unit volume and a fabrication method thereof. The fabrication method of the system is characterized by comprising the following steps of: (a) drilling holes on a glass substrate by a diamond drill bit, wherein, the holes are two opposite hollow circular tables; (b) sputtering an Al membrane on the front face and rear face of the glass substrate so that the depth of a cavity is filled with the thickness of the Al membrane so as to realize double-sided Al interconnection; (c) sequentially depositing a cobalt-nickel nitride, a LiPON membrane, a Li membrane and an Al membrane on the rear face of Al; (d) arranging an energy management module and an RF (radio frequency) transceiver module on the surface of the Al membrane which is uncovered with a battery multilayer film; (e) sequentially depositing n-type microcrystalline silicon, i-type GexSi1-x (x is more than 0 and less than 1), p-type amorphous silicon and AZO containing 3% of Al on the Al surface of the front face of the glass substrate; and (f) connecting the AZO, a Li battery anode, an output end of the energy management module and an output end of the RF transceiver module by a Au line. In the invention, by adopting a sputtering deposit method, the energy density per unit volume of the obtained micro-energy system is more than 291.9W/L, which provides a technical means for node miniaturization of Internet of things, portability, long-time power supply and field application.
Owner:SHANGHAI INST OF MICROSYSTEM & INFORMATION TECH CHINESE ACAD OF SCI

Novel power generation device

PendingCN108266327ASolve the problem of narrow frequency lock rangeIncrease the range of the locked areaEngine fuctionsWind motor supports/mountsEngineeringWind power generation
The invention belongs to the field of wind power generation devices and particularly discloses a novel power generation device. The novel power generation device comprises a supporting frame, a rear-end rotary interference column body and a power generation unit. The rear-end rotary interference column body is rotatably connected with the supporting frame. A weather vane is mounted at the upper end of the rear-end rotary interference column body. The power generation unit is mounted on the rear-end rotary interference column body. The power generation unit comprises two supporting plates and atwo-side fixed support arranged between the two supporting plates. Two power generation modules are arranged between the two side of the two-side fixed support. Each power generation module comprisessleeves, coils are arranged in the sleeves, cylindrical magnets are arranged outside the sleeves, the two sides of the cylindrical magnets are connected with the two sides of the two-side fixed support through springs and are limited through grooves formed in the supporting plates. Vibration cylinders are arranged between the cylindrical magnets of the two sets of power generation modules. The novel power generation device can increase the vibration amplitude and the frequency locking interval of the vibration cylinders and is large in output power and good in environmental adaptability.
Owner:HUAZHONG UNIV OF SCI & TECH

Image classification method based on noise reduction sparse automatic encoder and density space sampling

ActiveCN108416389ALearning robustnessSolve the problem that requires a large number of manually labeled samplesCharacter and pattern recognitionHidden layerData set
The invention discloses an image classification method based on a noise reduction sparse automatic encoder and density space sampling. The image classification method based on a noise reduction sparseautomatic encoder and density space sampling includes the steps: constructing an image block training set; constructing a noise reduction sparse automatic encoder of single hidden layer, inputting the image block training set, and training the noise reduction sparse automatic encoder; performing density space sampling on each image in a training image data set and a test image data set; using thenoise reduction sparse automatic encoder to extract local characteristic set information from the space area obtained by performing density space sampling on each image; using two layers of laminatedFisher Vector to encode the characteristic set information, so as to obtain the final Fisher vector of each image; and training a classifier by means of the Fisher vector, so as to realize image classification. The image classification method based on a noise reduction sparse automatic encoder and density space sampling can accurately acquire the image information, can improve the classificationaccuracy of images, and can be used for construction of a large scale image classification and retrieval system.
Owner:YANCHENG TEACHERS UNIV
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