190 results about "Global energy" patented technology

An image matching method and system for use with multiple images of a scene captured from different angles. Image matching is performed by identifying a plurality of segments within at least two images, determining an initial disparity values for pixels in the images and then determining initial disparity planes for the segments by fitting a plane to initial disparity values for the segments. A refined disparity plane set is created by iteratively refitting the disparity planes by using various fitting cost functions and weighted linear systems. A labeling of each segment to a disparity plane is made by minimizing a global energy function that includes energy terms for segment to disparity plane matching as well as penalizing disparity plane discontinuities between adjacent image segments.

A system, methods, and user-friendly program product to calculate global energy utility targets and define optimal driving force distribution for a process or cluster of processes under all possible process changes and streams specific minimum temperature approach values, simultaneously, and without enumeration, are provided. The program product can utilize stream-specific minimum temperature approach values ΔTmini, where the superscript i represents the specific hot stream, as the optimization parameters instead of the single global ΔTmin currently used, in addition to identifying the optimal operating conditions. The program product can define optimal process conditions and an optimal driving force distribution in heat recovery systems, and can produce an optimal Pareto-curve that shows the rigorous trade off between energy cost and capital cost for any energy recovery system.

An embodiment of the invention provides a panorama image stitching method and device which can perform good processing on a plurality of images when a camera is in non-pure rotation and displacement exists, and can allow the distortion generation rate of stitched images to be reduced. The method includes the following steps of: designing a homographic matrix according to local areas of various feature points in various images; using the designed homographic matrix to detect the feature points and delete the wrong feature points; performing meshing processing on the images; constructing a global energy function based on mesh vertices and various feature points after the wrong feature points are deleted; solving the optimized mesh vertices; performing coordinate transformation on pixel points of various images based on the optimized mesh vertices; and performing stitching processing on various images by using various transformed pixel points.

A system, methods, and user-friendly program product to calculate global energy utility targets and define optimal driving force distribution for a process or cluster of processes under all possible process changes and streams specific minimum temperature approach values, simultaneously, and without enumeration, are provided. The program product can utilize stream-specific minimum temperature approach values ΔTmini, where the superscript i represents the specific hot stream, as the optimization parameters instead of the single global ΔTmin currently used, in addition to identifying the optimal operating conditions. The program product can define optimal process conditions and an optimal driving force distribution in heat recovery systems, and can produce an optimal Pareto-curve that shows the rigorous trade off between energy cost and capital cost for any energy recovery system.

The invention belongs to the blockchain technology field and discloses a distributed energy dispatching transaction method based on a global energy blockchain. By constructing a global energy Internetsystem based on a global energy blockchain, the global energy blockchain may have an effect of a distributed ledger. By using the global energy blockchain, low-cost channels for direct communicationare established between massive smart devices. Further, through a decentralized consensus mechanism, the security and privacy of the global energy Internet system is improved. A reliable mathematic encryption algorithm is used to protect the user's privacy. Through distributed decision, various organizations participate together to enhance recognition degree. Ultimately, the self-management and maintenance of the global energy Internet system is achieved, the global energy Internet system is converted into a decentralized, self-organizing, and self-regulating system, point-to-point value transmission without the intermediary trust and secure distributed data sharing are achieved, and a global energy Internet distributed platform is constructed.

The invention provides a method for segmenting an image with non-uniform gray scale based on a level set function. The method comprises the following steps: constructing the level set function; constructing image segmentation energy functional; and carrying out level set function evolution so that the energy functional is minimized so as to obtain an image segmentation boundary, wherein, the energy functional comprises a global energy statistical item, a local energy statistical item and an energy penalty item. In the invention, on the basis of a C-V (Chan-Vese) model, a Gaussian kernel function is introduced and the local statistical information for the image with the non-uniform gray scale is fully utilized so as to optimize the 'energy' functional for a minimized closed curve; and by adding the energy penalty item, convergence of a signed distance function (SDF) is ensured and the time-consuming reinitialization process is avoided. Experiments prove that by adopting the method for segmenting the image with the non-uniform gray scale, clear and accurate segmentation results can be obtained and the segmentation accuracy and efficiency for the image with the non-uniform gray scale can be improved.

Systems, methods, and program product to calculate global energy utility targets and to model and determine an optimal solution for a non-thermodynamically constrained process or cluster of processes subject to non-thermodynamic constraints under all possible process changes and streams specific minimum temperature approaches, are provided. An exemplary system can utilize thermodynamic constraints exhibited in stream-specific minimum temperature approach values ΔTmini as optimization parameters, in addition to other process conditions degrees of freedom including the addition of new waste heat carrier streams to target for minimizing energy consumption of the non-thermodynamic constrained waste heat recovery problem and to identify the optimal operating conditions that result in desired minimum energy consumption subject to the non-thermodynamic constraints.

The invention discloses a load prediction and condition constraint-based control method for an air conditioner cold source energy efficiency model. The control method comprises the following steps ofestablishing a cooling load prediction model; respectively establishing a water cooled host energy consumption model, a cooling tower energy consumption model, a chilled water pump energy consumptionmodel and a cooling water pump energy consumption model according to constraint conditions; establishing the central air conditioner cold source energy efficiency model according to the water cooled host energy consumption model, the cooling tower energy consumption model, the chilled water pump energy consumption model and the cooling water pump energy consumption model; and performing initialization assignment on the central air conditioner cold source energy efficiency model by the cooling load prediction model to enable the central air conditioner cold source energy efficiency model to perform optimum operating parameter setting on an central air conditioner. According to the embodiment of the invention, by changing control over an central air conditioner system into integral control over a construction cold energy demand model from single parameter control, and by analyzing energy efficiency conditions under different working conditions from the aspect of global energy efficiencyof a cold source, optimum operating parameter setting on the central air conditioner is realized, and therefore, energy conservation in a real sense is achieved.

The invention discloses a search method and system for optimal splicing lines among images based on graph-cut energy optimization. According to the method, data preparation of the images to be spliced is performed, and all overlap regions and corresponding overlap degrees among all the images to be spliced are obtained; the images to be spliced are preprocessed, color, gradient and texture information is comprehensively considered to determine a graph-cut global energy function which includes a data item and a smooth item, weighting setting is performed on energy of the smooth item, the graph-cut energy optimization method is adopted for optimizing total energy, and therefore the optimal splicing lines are obtained. The obtained splicing lines are prevented from passing through regions which are overlarge in color difference and complex in texture and passing through edges obvious in ground feature as much as possible, so that optimization of the splicing lines is ensured to the maximum degree, the problem of optimizing multi-image multi-degree overlap region splicing lines in a combined mode is solved, and the application range is wide.

The invention discloses a nonlinear self-adapting energy-saving control method for a heating ventilation air-conditioning system. The method aims at the problems existing in the control research of the conventional heating ventilation air-conditioning system, realizes the energy-saving and optimization control of the air-conditioning system and mainly controls a temperature and a relative humidity from the standpoint of the global energy management of the system. The two parameters, namely the temperature and the relative humidity, are normally two regulated quantities which are simultaneously regulated in a regulation object and influence mutually in the regulating process, thus, the relativity of the temperature and the humidity is sufficiently considered in the automatic controlling process. An automatic air conditioning control system is an integrated control system which takes the temperature and humidity control of an air conditioning room as the center and makes each link in close connection with each other through the switching of the working condition and the air treatment process. Any link going wrong can influence the temperature and humidity regulation of the air conditioning room and even make the whole regulation system not work normally.

The invention discloses a narrowband constraint-based local segmentation method for a geometric activity contour model and belongs to the field of image processing. The method comprises the followingsteps of constructing a narrow-band range based on particle swarm threshold segmentation and morphology expansion; constructing an energy function of fusing a global energy item and a local energy item by a self-adaptive coefficient; and solving the energy function by adopting the level set method. According to the invention, the local segmentation calculation region is optimized, and the self-adaptation coefficient of the global energy term and the local energy term is achieved. Therefore, the efficiency and the accuracy of the local segmentation of a grayscale uneven image are improved. Theproblems that the narrow-band control is unstable and the curve evolution precision is insufficient during the local segmentation of the grayscale uneven image are solved. The problem that the energyfunction model fitted by the global energy item and the local energy item cannot be rapidly and accurately segmented is also solved.

The invention proposes a panoramic image tone consistency correction method and system. The method includes the following steps: extracting a content-consistent area from overlapped areas of all adjacent image pairs, and extracting a color corresponding relation between images according to a cumulative probability histogram of the content-consistent area at an equal probability interval; defining a tone transformation model with relatively high flexibility, and optimizing global tone consistency, image contrast and gradient details while designing a global energy function; and through solving model parameters with strict global optimality, applying respective tone correction models to all images to perform tone consistency correction, and outputting a processing result. The panoramic image tone consistency correction method and system utilize the tone corresponding relation of overlapped areas between adjacent images, and can effectively eliminate relatively large tone difference existing among images; the problems of tone overflow, dynamic range narrowing and gradient loss relative to an original image can be suppressed while tone consistency is corrected, a correction model of global joint optimization does not need to define a specific reference image, and the problem of an accumulative error can be effectively reduced.

An apparatus for prioritizing a demand response program event based on occupancy for one or more buildings of one or more building types participating in a demand response program is provided. The apparatus has an occupancy estimator and a dispatch controller. The occupancy estimator is configured to receive energy consumption and outside temperature streams corresponding to a portion of the one or more buildings, and is configured to employ occupancy components for each of the one or more buildings within the portion to process the streams, and is configured to generate occupancy levels corresponding to the one or more buildings within the portion, where the occupancy components and the occupancy levels are generated by exclusively processing the streams, and is configured to assign the occupancy levels to remaining ones of the one or more buildings not in the first portion. The a dispatch controller is configured to employ the occupancy components to maintain a global energy use model for the one or more buildings, and is configured to transmit dispatch messages to selected ones of the one or more buildings to reduce energy consumption by a prescribed amount for a prescribed period of time, to achieve objectives of the demand response program event.

The invention discloses a particle image velocimetry (PIV) processing method comprising the following steps: A. constructing a level set function phi in an N*M pixel range omega, wherein the level set function phi is a continuous function defined in the N*M pixel range omega; dividing the range omega into a first subregion omega1 and a second subregion omega2 so that a motion field, a divergence field and a rotation field are smoothly connected in the two subregions of omega1 and omega2, but are not continuous on the boundary, wherein a region where the phi is larger than or equal to 0 corresponds to the first subregion omega1, and a region where the phi is smaller than 0 corresponds to the second subregion omega2; B. constructing an energy function E=E1+lambda *E2 of the range omega:, wherein the E is a global energy functional, the E1 is data constraint energy, and the E2 is smooth constraint energy; and C. minimizing the global energy functional to realize the optimal approximation of the motion field, the divergence field and the rotation field. The invention provides the PIV processing method with high precision and good reliability.

An image matching method and system for use with multiple images of a scene captured from different angles. Image matching is performed by identifying a plurality of segments within at least two images, determining an initial disparity values for pixels in the images and then determining initial disparity planes for the segments by fitting a plane to initial disparity values for the segments. A refined disparity plane set is created by iteratively refitting the disparity planes by using various fitting cost functions and weighted linear systems. A labeling of each segment to a disparity plane is made by minimizing a global energy function that includes energy terms for segment to disparity plane matching as well as penalizing disparity plane discontinuities between adjacent image segments.

The invention discloses a hyperspectral image classification method based on K nearest neighbor filtering. The classification process mainly includes (1) support vector machine (SVM) classification: rough classification of a hyperspectral image using a SVM classifier to obtain an initial probability graph; (2) principal component analysis dimensionality reduction: dimensionality reduction of the hyperspectral image by way of principal component analysis to obtain a first principal component image; (3) K nearest neighbor filtering: extraction of spatial information of the hyperspectral image under the guidance of the first principal component image based on a non local K nearest neighbor filter to optimize the initial probability graph; and (4) accurate classification of the hyperspectral image according to the optimized probability graph. The greatest advantage of the method in the invention over a traditional hyperspectral classification algorithm is that the non local spatial information of the hyperspectral image can be extracted for optimized classification without solving for a complex global energy optimization problem. Thus, the classification speed is high, and the accuracy is high.

The embodiment of the invention provides frequency spectrum sensing method, device and equipment of a frequency spectrum sharing system. The detection of the frequency spectrum sensing energy is carried out in a frequency domain; a whole frequency band is divided into a plurality of subbands; and a local sensing node measures the energy level of each subband and feeds back the energy level of each subband to a confluence center. Aiming at each subband, in all sensing nodes, the confluence center selects the energy level of the subband with a maximum energy level as the global energy level of the subband, and the energy levels of the subbands with the maximum value are averaged to obtain the global energy level of the whole frequency band. By using the cooperative sensing method, more local sensed information is sent to the confluence center, the maximum energy level of each subband can be selected among all cooperative sensing nodes, and the energy level of the deeply selectively faded subband does not contribute to the global energy level. By the mode, more user subsets can be obtained, the selective fade of the frequency is reduced, and the sensing performances are improved.

The invention relates to an eye fundus image vessel segmentation method based on a local enhancement active contour module. The method comprises: according to a feature vector of a Hessian matrix, vessel enhancement in an eye fundus image is carried out; curvature distribution statistics is carried out on the enhanced image to obtain an eyeball edge and get rid of the eyeball edge; and with a local enhancement active contour module, enhanced image segmentation is carried out by combining global energy information, thereby extracting an eye fundus vessel. According to the invention, on the basis of gray level distribution characteristics of the vessel in the medical eye fundus image, a local energy function is established and a global energy functional item is combined, so that the curve evolution process becomes stable; the speed is accelerated; and the vessel in the eye fundus image can be extracted precisely and effectively.

The invention uses the ant colony algorithm and the simulated annealing algorithm, combining system energy entropy concept, to simulate the food searching process of ant colony and to search route in the radio sensing network, and meanwhile to simulate the annealing process of metal in order to make system have maximum energy entropy and also keep the route having most balanced energy consumption of global nodes.

The invention relates to the field of computer vision, in particular to a roof segmentation method, a system and a device based on multi-resolution three-dimensional statistical information, aiming atproviding a fast and robust roof segmentation method. The roof segmentation method of the invention comprises the following steps: acquiring high-precision depth and dense three-dimensional point cloud information from multi-view aerial photograph images; based on the statistical information of 3D point cloud features with different resolutions, the 3D point cloud scene is semantically classifiedby global energy optimization, and the point cloud of buildings is obtained. Taking the point cloud of the building as the initial a priori, the fine building segmentation is carried out on the multi-view aerial photograph image. Building transition region based on depth information is computed, and the fine roof segmentation result is obtained by removing the interference of building side to fine roof segmentation from fine building segmentation result. The invention realizes fast, robust and universal roof segmentation, effectively removes the influence of the lateral transition area of thebuilding, and improves the segmentation fineness.

The invention discloses an SAR (Synthetic Aperture Radar) image change detection method based on difference image fusion and an improved level set, which comprises the following steps: firstly, respectively carrying out logarithmic ratio operation and mean ratio operation on SAR images at two moments to obtain a logarithmic ratio image and a mean ratio image, and then fusing the logarithmic ratioimage and the mean ratio image to obtain a fusion difference image; Carrying out pre-classification on the fusion difference image by utilizing a KI threshold value to obtain an initial mark field anda mean value and a variance of the two types of data sets; According to the initial mark field and the mean value and variance of the two types of data sets, calculating the membership degree of eachpixel point on the fusion difference graph belonging to a certain type, and then constructing a self-adaptive kernel function; Controlling curve evolution of a level set function by combining a global energy item and a local energy item according to the kernel function and gradient information of the image; And finally, dividing a change region and an unchanged region according to a curve duringconvergence. The SAR image change detection method not only protects detail information such as edges, but also effectively inhibits speckle noise, thereby improving SAR image change detection precision.

The invention provides a low overpotential electrocatalyst for producing hydrogen by efficient water splitting and a preparation method of the electrocatalyst, and belongs to the technical field of catalyst preparation. The low overpotential electrocatalyst is prepared by in-situ growth of Co9Se8 on foamed nickel. The low overpotential electrocatalyst is prepared by one of cobalt nitrate hexahydrate, cobalt chloride, cobalt acetate or cobalt sulfate and one of sodium selenite pentahydrate, potassium selenite or seleninic acid in an organic amine environment in which the foamed nickel serves as a catalyst. The foamed nickel can serve as both a carrier and the catalyst of a synthetic reaction. The overpotential of the electrocatalyst is only -284mV when the electric current density is 80 mA / cm<-2> and is increased by more than 46.5% relative to that of pure foamed nickel with the overpotential of -530 mV when the electric current density is 80 mA / cm<-2>, and the electrocatalyst is a relatively low overpotential electrocatalyst in non noble metal electrocatalysts. The electrocatalyst is one of advanced technical means for the sustainable production of hydrogen energy, has good industrial application prospects and can be used to relieve an increasingly intense global energy supply pattern at present.

The invention discloses a thermal-inductive fluorocarbon function coating containing an azobenzene / carbon-hybrid material and a preparation method of the thermal-inductive fluorocarbon function coating. The coating is prepared from the following components: 40 to 60 parts of fluorocarbon resin, 10 to 20 parts of crosslinking resin, 15 to 20 parts of mixed solvent, 10 parts of pigment, 5 to 15 parts of the azobenzene / carbon-hybrid material, 0.5 part of delustering agent, 0.1 part of flatting agent, 0.15 part of defoaming agent, 0.25 part of dispersant and 0.00035 part of curing agent. The coating disclosed by the invention has the advantages that light energy, such as solar energy, stored in an illumination process is released in the form of heat under the condition without illumination through photo-thermal storage conversion, so that the problem that a fluorocarbon material has no heat self-storage / release function under special environments is solved, and the power consumption is greatly reduced; the coating can be widely applied to the fields of architecture, electrical and electronic industries, aerospace industry and the like; as a new and green energy, the coating has immeasurable application prospects and economic benefits for dealing with the global energy crisis.

The utility model relates to a SAR image segment method for the flash annealing based on a MRF, which is characterized in that: 1) The original split field is defined, 2) The local energy of each pixel point in the current split field is calculated; 3) The current pixel point sentinel is changed: firstly, whether a prior dominant sentinel is in the current pixel point neighborhood is determined, if yes, the new sentinel of the current pixel point is marked as the prior dominant sentinel; if no, the sentinel of the current pixel point is changed randomly to get a new sentinel, if the new sentinel calculated energy is lower than that of the current sentinel, the new sentinel is accepted, otherwise a value is randomly selected between 0 and 1, if the possibility rate corresponding to the energy differential value between the new energy and the current energy is larger than or equal to the selected value, the sentinel is accepted, otherwise the new sentinel is not accepted; 4) A global energy in the current state and in the new state is calculated, if the variable value of the global energy is less than a threshold value defined in advanced, the iterative optimization process is over. The utility model has advantages of increasing the processing speed, and facilitating the application of the SAR image segment method based on the analogue annealing in processing system.

The invention discloses a visual detection method for a road driving area. The method comprises: using superpixels as a middle layer feature perception consistency unit, based on middle layer superpixel segmentation, establishing an energy function, data dependence items of the energy function being defined by colors, textures, and position features of the superpixels, data interaction items introducing interaction of spatio-temporal neighborhood superpixels, and the data interaction items being defined by labels thereof and color feature differences; in addition, according to circulation of initializing classification labels, initial global energy calculation, local energy comparison, and global energy comparison, determining implementation energy minimization. The method can effectively detect road driving areas in images and videos, and the method is simple and effective.

An apparatus for managing energy consumption of one or more buildings of one or more building types based on occupancy is provided. The apparatus includes an occupancy estimator and a multiple facility controller. The occupancy estimator is configured to receive energy consumption and outside temperature streams corresponding to a portion of the one or more buildings, and is configured to employ occupancy components for each of the one or more buildings within the portion to process the streams, and is configured to generate occupancy levels corresponding to the one or more buildings within the portion, where the occupancy components and the occupancy levels are generated by exclusively processing the streams, and is configured to assign the occupancy levels to remaining ones of the one or more buildings not in the first portion according to building type. The multiple facility controller is configured to employ the occupancy components to maintain a global energy use model for the one or more buildings, and is configured to transmit energy reduction control messages to selected ones of the one or more buildings to reduce energy consumption by a prescribed amount for a prescribed period of time, thereby optimizing energy consumption of all of the one or more buildings.

The invention discloses a method for predicting a protein structure from local to global on the basis of a knowledge spectrum. The method comprises the following steps: for a query sequence, obtaining a high-quality fragment library through a multi-feature seamless threading method, and obtaining distance spectrum knowledge between residues through statistic consistency analysis on the basis of the fragment library; dividing the query sequence into several segments of structures according to residue information recorded in a distance spectrum; carrying out fragment assembling on each segment of structure to obtain relatively low energy and to ensure that the space distance between adjacent residues approaches to a predicted distance in the distance spectrum; carrying out fragment assembling on the unsegmented structures and calculating the global energy to obtain a metastable-state conformation with low energy and more reasonable structure. The method disclosed in the invention is relatively good in conformation space sampling ability and high in prediction precision.

The invention discloses a method for reducing Internet of Things calculation unloading energy consumption. An Internet of Things network architecture based on edge cloud is established by utilizing the concept of SDN in a next generation network and an edge calculation technology; the average time delay of processing the calculation task in the system and the average time delay of locally processing the calculation task are calculated by the IoT equipment by adopting a queuing theory; a global energy consumption minimization problem is modeled based on time delay constraint for the scene of the Internet of Things into a mathematical problem; an unloading calculation optimization algorithm based on a genetic algorithm is designed to solve an unloading decision of each device in the networkand the number of started edge cloud servers, resource allocation is optimized, and energy consumption is reduced.