Patents
Literature
Hiro is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Hiro

42results about How to "Unstable" patented technology

Combination forecast modeling method of wind farm power by using gray correlation analysis

ActiveCN102663513AAvoiding the quadratic programming problemFast solutionForecastingNeural learning methodsPredictive modellingPrediction algorithms
The invention discloses a combination forecast modeling method of wind farm power by using gray correlation analysis, belonging to the technical field of wind power generation modeling. In particular, the invention is related to a weighted combination forecast method of wind power based on a least square support vector machine and an error back propagation neural network. The forecast method comprises that forecasted values of wind speed and wind direction are acquired in advance from meteorological departments while real-time output power is acquired from a wind farm data acquiring system; that the forecasted values of wind speed and wind direction and the real-time output power are inputted into a data processing module for data analyzing extraction and data normalization, and then normalized data is loaded to a database server; processed data in the database server is extracted by a combination forecast algorithm server to carry out model training and power forecast, and the wind farm sends running data to the data processing module in real time to realize rolling forecasting. The method of the invention achieves the goal of combination forecast of wind farm output in a short time. The method not only maximally utilizes advantages of two algorithms but also increases forecast efficiency by saving computing resources and shortening computing time.
Owner:NORTH CHINA ELECTRIC POWER UNIV (BAODING)

Track network's crowded bottleneck identification method based on percolation theory

InactiveCN106991542AAccurately reflect actual congestion bottlenecksGood serviceResourcesNetwork connectionTopological graph
The invention discloses a track network's crowded bottleneck identification method based on percolation theory. The method comprises the following steps: a) abstracting a track network as a directed topological map; b) selecting the interval full-load rate as the state characteristic index; c) according to the percolation theory, constructing a dynamic network or rather, giving a specific full-load rate value l at each moment wherein if the interval full-load rate is greater than the specific value of l, then deleting the interval; and keeping the interval if otherwise; d) for the same moment, changing the value l with the result of changing the network connection; based on the percolation theory, when the scale of the second largest communication graph SG in the network reaches the maximum, naming the corresponding value l as the threshold value; and e) determining that the interval set deleted at the threshold value extracted at value l as the possible bottleneck set; changing the interval state of the interval set; and if the changed of the interval can improve the network condition, then, determining the interval as the crowded bottleneck. According to the method of the invention, it is possible to perform dynamic identification to a crowded bottleneck so as to facilitate the adjustment of the bus times and intervals to start the buses by the operation and management personnel and to provide high quality service to passengers accordingly.
Owner:BEIHANG UNIV

Petrifaction heat insulated tank and solar photo-thermal utilization integrated equipment

The invention relates to a petrifaction heat insulated tank which comprises a tank body. The petrifaction heat insulated tank is characterized by also comprising a heat collecting pipe, fins, a keel, a transparent protection plate, a heat insulating layer, a water inlet and a water outlet, wherein the heat insulating layer is adhered on the outer wall of the tank body and externally provided with the heat collecting pipe; the fins are arranged outside the heat collecting pipe, and the transparent protection plate is covered on the outer layer of the fins and connected with the tank body through the keel; and the heat collecting pipe is connected between the water inlet and the water outlet. The invention scientifically utilizes solar resources, realizes the effects of heating, heat insulating, cooling and cold insulating of the tank, achieves the purposes of saving energy and reducing emission, realizes the integral and scientific combination of a tank building and solar energy utilization, has the advantages of no land space occupation, simple construction, low manufacture cost and safe and reliable operation, and not only is suitable for centralized mounting and central control of a petrifaction mixed tank area, but also can independently use a single tank so as to be convenient for scientific and reasonable uniform operation.
Owner:QINGDAO YUNTE NEW ENERGY

Level set target tracking method based on convolutional neural network

The invention relates to a level set target tracking method based on a convolutional neural network, and belongs to the technical field of target tracking and video processing. The level set target tracking method based on a convolutional neural network includes the following steps: 1) utilizing the first frame and the first frame standard target contour of video input to initialize an Adaboost detection module; 2) calling a detection module to obtain the initial position and shape of an object in the subsequent video frame; 3) operating a level set method tracking module on the above basis, and accurately segmenting the object contour; and 4) by means of the result of the step 3, distinguishing the foreground/background, and updating a weak classifier of the detection module. For the level set target tracking method based on a convolutional neural network, the utilization method of convolutional neural network characteristics can make a preferable distinction on the foreground/background so as to improve the detection accuracy and improve the overall target tracking effect; and the level set target tracking method based on a convolutional neural network can balance performance andefficiency, and can obtain relatively excellent tracking effect at the same operating speed.
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY

Solar dehumidification system for underground space

The invention discloses a solar dehumidification system for an underground space. The solar dehumidification system comprises a solar heat utilization part, a concentrated solution regeneration part and an underground space dehumidification part. The solar heat utilization part comprises a dilute solution storage tank, a three-way reversing valve, a solar heat collector, a temperature controller and an air source heat pump hot water unit, wherein the solar heat collector is introduced into an open type pulsating heat pipe, so that the temperature of a dilute solution is increased, and water evaporation in the solution regeneration part is promoted; the concentrated solution regeneration part comprises a dehumidification solution regenerator, a first solution pump, a heat regenerator, an air cooler and a concentrated solution storage tank, and the solution concentration is increased by using a flash evaporation technology of liquid dehumidification; and the underground space dehumidification part comprises a second solution pump, a fan, a first temperature detector, a humidity detector, a film type dehumidifier, a third solution pump, a humidity controller and a second temperature detector, and the air humidity is reduced by using a film dehumidification technology. Therefore, the system not only realizes efficient pollution-free dehumidification of the underground space, but also can solve the problems that the regeneration concentration is low and the dehumidified air is easy to carry a dehumidification solution in a liquid solution dehumidification technology.
Owner:ZHENGZHOU UNIV

Method for modeling thermal error model of gear grinding machine based on bidirectional LSTM (Long Short Term Memory) network

The invention discloses a method for modeling a gear grinding machine thermal error model based on a bidirectional LSTM network. The method comprises the following steps: 1) preprocessing original thermal error data; 2) randomly generating a whale population, and judging whether the initial position of the whale population exceeds a preset range or not; if yes, changing the initial position of the whale population into a boundary; if not, keeping the position of the whale population; 3) establishing a Bi-LSTM neural network; 4) mapping the position of the whale population into the batch size of the Bi-LSTM neural network and the number of neurons of a hidden layer; 5) inputting the preprocessed original thermal error data into the Bi-LSTM neural network, and taking MAE as the fitness of the whale optimization algorithm; 6) judging whether the MAE meets a preset requirement or not, if not, updating the position of the whale population, and if the fitness after updating is smaller than the optimal fitness before updating, determining the optimal position X * before updating; 7) judging whether the number of iterations reaches the maximum value or not, and if yes, terminating iteration; if not, making t to be equal to t + 1, and cycling the step 4) and the step 7); and 8) outputting the MAE.
Owner:CHONGQING UNIV

Steady-flow heat storage type hydraulic control compressed air energy storage system and method based on clean energy

The invention provides a steady-flow heat storage type hydraulic control compressed air energy storage system and method based on clean energy. The system comprises a steady-flow water pumping system, a compression heat storage and gas storage system, a water pushing power generation system and a comprehensive control system. The super capacitor in the steady-flow water pumping system is used for carrying out frequency modulation on fluctuation current generated by clean energy such as wind energy and solar energy, and stable current is output to drive a water pump to pump water to compress air; compressed air is stored through an air storage tank in the compression heat storage and air storage system, waste heat of circulating water is recycled through a water storage tank, and heat transfer between the air storage tank and the water storage tank is regulated and controlled through a heat switch formed by a light sensation material pattern layer and a light strip. The power generation system utilizes exhaust of compressed air to push a water turbine to generate power, heat storage capacity of a water storage tank is transmitted to the compressed air, and pressure intensity and temperature losses during exhaust of an air storage tank are made up. And the comprehensive control system is used for remotely monitoring and regulating the steady flow pumping system, the compression heat and gas storage system and the water pushing power generation system.
Owner:POWERCHINA HUADONG ENG COPORATION LTD

Wind farm power combination prediction modeling method based on gray relational degree analysis

ActiveCN102663513BAvoiding the quadratic programming problemFast solutionNeural learning methodsLeast squares support vector machineEngineering
The invention discloses a combination forecast modeling method of wind farm power by using gray correlation analysis, belonging to the technical field of wind power generation modeling. In particular, the invention is related to a weighted combination forecast method of wind power based on a least square support vector machine and an error back propagation neural network. The forecast method comprises that forecasted values of wind speed and wind direction are acquired in advance from meteorological departments while real-time output power is acquired from a wind farm data acquiring system; that the forecasted values of wind speed and wind direction and the real-time output power are inputted into a data processing module for data analyzing extraction and data normalization, and then normalized data is loaded to a database server; processed data in the database server is extracted by a combination forecast algorithm server to carry out model training and power forecast, and the wind farm sends running data to the data processing module in real time to realize rolling forecasting. The method of the invention achieves the goal of combination forecast of wind farm output in a short time. The method not only maximally utilizes advantages of two algorithms but also increases forecast efficiency by saving computing resources and shortening computing time.
Owner:NORTH CHINA ELECTRIC POWER UNIV (BAODING)

Special compound premix feed for producing selenium-enriched pork and production method of special compound premix feed

The invention relates to a special compound premix feed for producing selenium-enriched pork and a production method of the special compound premix feed. 1 weight percent of the premix feed is added into a raw feed, the premix feed is suitable for 120-day-age growing-finishing pigs to pig in slaughter stage, the content of selenium of the produced pork is 0.25-0.29mg/kg, the requirements of the pigs on selenium can be met, and the healthy growth of the pigs is guaranteed. A used selenium source is nano-selenium or selenium yeast, the nano-selenium is nano-scale elemental selenium by taking macromolecular substances such as proteins and saccharides as dispersing agents and has the characteristics of small particle size, large superficial area, instability and the like, the selenium yeast is a high-quality organic selenium source, the nano-selenium or selenium yeast is more easily absorbed by the organism compared with other selenium sources such as sodium selenite and amino acid chelated selenium, and has the relatively high bioavailability, safety and oxidation resistance, the selenium-enriched pork belongs to functional healthy pork with a selenium supplement effect, the selenium contained in the selenium-enriched pork is the organic selenium which is easily absorbed and utilized by the human body, and the selenium-enriched pork is an excellent selenium supplement food.
Owner:福建光华农牧科技开发有限公司

Energy storage device capable of factory production for energy storage and power generation

The invention discloses an energy storage device capable of factory production for energy storage and power generation. The energy storage device comprises a shaft lever, a plurality of energy storage units, a gear box, a braking gear, a brake member and a motor, wherein each energy storage unit comprises an annular cover shell and an energy storage spring respectively, and the shaft lever is sleeved with the energy storage units; the energy storage units form a cylindrical energy storage main body, and an output shaft of the gear box is connected with the outer side end of the shaft lever; an input shaft of the gear box is sleeved with the braking gear, and the brake member includes a support base and a block pin; the block pin can reach the position between each two adjacent external teeth of the braking gear, and braking of the braking gear is formed; the output end of the motor is connected with the end part of the input shaft of the gear box in a transmission mode; the motor drives the shaft lever to rotate through the gear box, and the energy storage springs contract under the action of the rotation of the shaft lever so as to achieve winding for energy storage. The energy storage device adopts the basic principle of the energy storage of an old type table clock, and the basic principle is enlarged infinitely within the permissible range of the capabilities of manufacture, transportation and installation, so that the purpose of the energy storage is achieved.
Owner:姜庆有

Preparation method of special fertilizer tea tree germination

The invention belongs to the technical field of fertilizers, and particularly relates to a preparation method of a special fertilizer for tea tree germination. The preparation method of the special fertilizer for the tea tree germination comprises the steps of: firstly preparing a mixed slurry of biomass carbon, ammonia water and humic acid, and then introducing CO2 or a gas containing CO2, separating products, drying, and obtaining the special fertilizer for the tea tree germination. The application is different from the direct mixing of biomass carbon and ammonium hydrogen carbonate, adoptsthe biomass carbon with a surface rich in acidic functional groups as a crystal nucleus/carrier, and prepares a biomass carbon-based compound fertilizer through a physical chemical adsorption-chemicalreaction method. That is, the special fertilizer is obtained by reacting NH3+CO2+H2O on the inner and outer surfaces of pores of the biomass carbon, and organic combination with the biomass carbon and humic acid ensures the comprehensive utilization of nitrogen, and has a significant effect on the spring germination of tea trees; and the special fertilizer has high stability, achieves an effect of sustained release, overcomes the shortcomings of a traditional carbon ammonium fertilizer easy to decompose and volatilize, and effectively improves the utilization rate of the fertilizer.
Owner:BEIJING SANJU GREEN ENERGY TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products