168 results about "Interval distribution" patented technology

The invention discloses an analysis and evaluation method for inrush mountain torrent disasters of regions without data, and relates to the field of mountain torrent disaster analysis and evaluation. The method comprises the steps that the basic information of a project area is obtained; the landform, the river position form and the flood control current situation of an evaluated object are obtained; the catchment area and runoff components of the dike confluence drainage basin of each small watershed in the obtained evaluated object are determined; rainstorm parameter calculation, rainstorm calculation and concentration-time-based rainstorm time interval distribution of the evaluated object are obtained; flood calculation is designed, and the water level and flow relation of a riverway section, prone to inrush, of the evaluated object is obtained; the riverway flood control current situation in the evaluated object is determined, and accordingly danger zone grade division is conducted; and an early warning point is established, the early warning water level of the analyzed and evaluated object is determined, and the early warning index of the analyzed and evaluated object is formulated. According to the analysis and evaluation method, the inrush mountain torrents serves as the main analyzed and evaluated object, and a current riverway flood control current situation evaluation method and an early warning index analysis method are provided.

A method for analyzing/monitoring the properties of species that are labeled with fluorophores. A detector is used to detect photons emitted from species that are labeled with one or more fluorophores and located in a confocal detection volume. The arrival time of each of the photons is determined. The interval of time between various photon pairs is then determined to provide photon pair intervals. The number of photons that have arrival times within the photon pair intervals is also determined. The photon pair intervals are then used in combination with the corresponding counts of intervening photons to analyze properties and interactions of the molecules including brightness, concentration, coincidence and transit time. The method can be used for analyzing single photon streams and multiple photon streams.

The invention relates to a fractional-bunch energy balance route defining method for a binary-tree-based wireless sensor network. The method adopts a binary-tree structure in a data structure and the backward sequence traverse of the binary-tree structure, and combines the energy balance mechanism of a sensing-network nodal point to provide the route defining method. During the fractional-bunch network-organized procedure of a wireless sensing network, the energy consumption of the nodal points of the integral wireless sensor network is effectively reduced and balanced, and the existence period of the integral network is prolonged. In the route building stage, according to the energy balance mechanism and the previous circumstance of the nodal point, the probability that the nodal point which has a bigger surplus energy and a less elected times becomes a bunch head is greatly increased, in the T D M A time interval distribution, when a multi-jump communication is made inside the bunch, the member nodal points successively join the bunch head according to the signal intensity, the bunch head builds the binary-tree according to the sequence of the arriving time, and distributes the operation time interval for every nodal point according to the backward sequence traverse of the binary-tree, the minimum communication distance is realized, the energy consumption of the nodal points which have a relevant long distance to the bunch head is effectively reduced. The method of the invention is simpler, and is easy to be realized, thereby being suitable for various application occasions for the wireless sensor network with data as the center.

The invention relates to a method for identifying properties of lightning faults of an overhead line on the basis of the interval distribution of lightning current amplitude and belongs to the technical field of a high voltage. After the overhead line has a lightning tripping fault, fault information such as a grounding resistance of a fault tower, characteristic parameters of a tower rod, positioning information of a lightning monitoring system, topographic parameters and the like are collected; according to a circuit lightning protection performance algorithm and a shielding failure electrical geometric model principle, the counterattack lightning withstand level of the circuit suffering from lightning stroke and the amplitude distribution interval of the shielding failure critical lightning current are calculated by integrating a statistics rule of structural parameters of the tower and the line; and finally, the occurrence probabilities corresponding different lightning fault types of the line are obtained by utilizing a line lightning fault property judgment probabilistic algorithm model. According to the invention, the objective and reliable lightning fault type occurrence probabilities are obtained by utilizing the lightning fault property judgment probabilistic algorithm model; a judging result contains a certain fault-tolerant margin; the aims that information amount required by the lightning fault property judgment is small and the fault information is easy to acquire by operation and maintenance personnel of the line are fulfilled; and the judgment method is simple and rapid and has strong practicality.

The crossed connection system for realizing SDH business protection and conversion and automatic restoring includes protection and conversion processing system, crossed connection configuring information interface and crossed connection system. The protection and conversion processing system receives the time interval configuring information, protection configuring information and outer alarm information, processes the information and generates and outputs the crossed connection configuration information to the crossed connection configuring information interface; and the crossed connection system realizes the time interval distribution in routes and branches, protection and conversion, and other functions according to the crossed connection configuring information. The present invention speeds the conversion of SDH service to strengthen the reliability and natural curing of SDH optical transmission system.

A method and a device for post-processing depth/disparity maps adopt a strategy of combining edge information and segmentation information when detecting irregular edge regions. The method includes dividing a color image into super pixels when performing image segmentation on a color image; partitioning a grayscale range into a preset number of intervals, and for each super pixel, statistically obtaining a histogram of all the pixel points that fall within the intervals; determining, in a current super pixel, whether a ratio of the number of pixels contained in the interval having a maximum interval distribution value, to the total number of pixels in the current super pixel is less than the first threshold; and if so, further dividing the current super pixel using a color-based segmentation method. The disclosed method and device improve accuracy of color image division while ensuring image processing speed, thus improving detection accuracy of the irregular edge regions.

The invention discloses an intelligent vending machine which comprises an installation box, a storage box, a refrigerating mechanism, a storage box driving mechanism, a fixed box and a picking push mechanism. The picking push mechanism is provided with a manipulator capable of extending and retracting in the storage box. The fixed box is provided with a man and machine interaction device. The storage box is of a transparent cylinder structure with storage cells arranged therein in a layered way; the storage cells on the same layer are in same-interval distribution around the center of circle, namely the rotating center of the storage box. The picking push mechanism controls the manipulator to pick articles in the storage cells and to send the articles out under control action of the man and machine interaction device, so that automatic vending is completed. Since the storage cells are in layered arrangement and are particularly in same-interval distribution around the center of circle, namely the rotating center of the storage box, multiple storage cells for storing the articles are provided on the each layer, and different articles can be stored in different storage cells; accordingly the intelligent vending machine has high article storage capacity and is capable of storing a wide range of articles.

The invention relates to an estimation method of a dispatching zone and a device thereof, in particular to a dispatching zone estimation method for reservoir determinacy optimizing dispatching and a device thereof. The invention is an estimation method for optimally dispatching a track zone of reservoir determinacy optimizing dispatching. The invention provides the method for dispatching reservoirs according to an optimal dispatching zone the first time, and the key of the method is the estimation problem of the optimal dispatching zone. The invention takes the dispatching tack of the reservoir determinacy optimizing dispatching problem as a parameter with a probability distribution characteristic, takes a dispatching objective function value as a likelihood function, and adopts a bayesian method to estimate the zone distribution of the optimal dispatching track. The invention ensures the optimal dispatching zone range of the reservoir, analyses the dispatching efficiency of the adjacent zone of the optimal dispatching track, evaluates the key dispatching periods, and can provide more supported information for dispatching decisions.

The invention discloses a data association relationship-based equipment defect assessment and prediction method. The method mainly comprises the following steps: integrating historical monitoring data of power grid equipment, and extracting a certain equipment defect type of the power grid equipment and data factors corresponding to the equipment defect type; integrating the data factors corresponding to the equipment defect type so as to obtain a factor monitoring database, wherein the factor monitoring database comprises monitoring data of the equipment defect type; obtaining association coefficients of elements in a set of the data factors corresponding to the equipment defect type; constructing an assessment and prediction model of the equipment defect type; and combining the assessment and prediction model and the factor monitoring database, calculating all assessment and prediction model y values corresponding to the defect type, and carrying out equipment defect assessment and prediction according to the assessment and prediction model of the equipment defect type and an interval distribution probability corresponding to all the equipment defect types. According to the method, the defect analysis flexibility is enhanced.

The invention relates to a harbour district traffic flow forecasting method under a reserved harbour concentration mode, which belongs to the technical field of harbour district traffic control and comprises the following steps of: dividing traffic generation and attraction areas to obtain the time-interval distribution rule of the historical traffic volume of each traffic generation area and each traffic attraction area to determine the traffic attraction area and the traffic volume; determining a corresponding back-up yard after a forwarder and a cargo collection style are obtained by issuing dynamic information, thereby obtaining the traffic generation area and the traffic volume; forecasting the harbour concentration time-interval traffic volume of each current area; calculating the harbour concentration vehicle OD distribution of the generation areas and the attraction areas, and adding the commuting OD of historical statistics to obtain total OD which corresponds to the generation areas and the attraction areas; and estimating the distribution of the traffic volume on each road section. The invention can basically reflect the condition of the actual traffic flow, can be used for forecasting the development tendency of the traffic flow and carry out traffic control and dispersion in advance, thereby preventing jam points from being generated and jam areas from extending.

The invention discloses an integrated learning method and device based on interval optimization. The method comprises: step one, one group of trained base classifiers is obtained; step two, predictionvalues of all training samples by the base classifiers are obtained; step three, a weight of each base classifier is optimized by optimized integrated model interval distribution; and step four, weighted average processing is carried out on the prediction values of the samples by using the optimized weights to obtain a final prediction value and mark. In addition, the invention also discloses anintegrated learning device based on interval optimization. According to the invention, dependence on the specific base classification algorithm is avoided; and optimization is carried out based on theclassification error or AUC. Moreover, the whole model is easy to solve; and the applicability is high. During weight optimization, the accuracy and diversity are balanced by introducing the interval, so that the overfitting problem is solved and the prediction effect of the final integrated model is improved.

The invention provides a die cutting lamination system and method. The system comprises an unwinding mechanism, an anode cutting mechanism, a preheating rolling device, a cutting mechanism, a detection device and a lamination device, wherein the anode cutting mechanism is matched with the anode unwinding mechanism and cuts an anode sheet to obtain a lamination of the anode sheet relative to at least one of a first diaphragm, a second diaphragm and a cathode sheet in interval distribution; the rolling device enables at least two of the first diaphragm, the second diaphragm, the cathode sheet and the anode sheet to be adhered to each other; the lamination is cut by the cutting mechanism to obtain a core lamination unit and a cathode lamination unit, or obtain the core lamination unit, the cathode lamination unit and a diaphragm lamination unit; the detection device detects whether the lamination unit has defects or not; the lamination device is used for laminating the lamination units. The system has the advantages of the relatively simple structure, the high lamination speed, the low failure rate, the small horizontal lamination space occupancy rate, the convenient lamination cutting and the high cutting precision, and the negative influence of the diaphragm on the performances such as internal resistance and specific capacity of the battery is small.

The invention relates to random model updating method based on an interval response surface model. The method is characterized by including the steps of firstly, building a second-order polynomial response surface model without cross terms according to experiment design and regression analysis; secondly, using a square completing method to convert a polynomial response surface expression into perfect square; thirdly, substituting interval parameters into the response surface expression to allow the definite response surface model to be changed into the interval response surface model; fourthly, performing interval calculation on the interval response surface model to obtain predicted structural response intervals, and combining the predicted structural response intervals with actual response intervals to build a target function; fifthly, building a optimization inversion problem to identify interval distribution of parameters. By the method, the expansion problem of interval calculation is avoided, fast calculation of structural response intervals is considered, finite element analyzing calculation and sensitivity matrix building during (interval) random model updating are avoided, a large amount of calculation time and cost is saved, and ill-conditioned optimization is avoided as much as possible.

The embodiment of the invention provides a genetic algorithm-based medium-speed maglev energy-saving running chart optimization method, which comprises the following steps of: 1, carrying out interval division on a medium-speed maglev line according to line speed limit, gradient, curve radius and arrangement of an auxiliary parking area; 2, on the premise of interval division, sequentially operating each column of medium-speed maglev trains according to a medium-speed maglev single-speed curve energy-saving optimization method under the conditions of fixed inter-station operation time division and departure interval to obtain an initial operation diagram of the medium-speed maglev trains; 3, utilizing a genetic algorithm to generate other distribution schemes of the inter-station operation time division and the departure interval; 4, constructing a medium-speed maglev energy-saving running chart optimization model, and calculating the total running energy consumption of each inter-station running time division and departure interval distribution scheme by using the medium-speed maglev energy-saving running chart optimization model; and 5, comparing the initial operation diagram of the medium-speed maglev train with the total operation energy consumption under other distribution schemes of the inter-station operation time division and the departure interval, and selecting the distribution scheme of the inter-station operation time division and the departure interval, which enables the total operation energy consumption to be minimum. According to the method, the train operation diagram energy-saving optimization problem with the total operation energy consumption of the medium-speed maglev train as the target is solved, the operation energy consumption of the medium-speed maglev train is reduced, and safe and energy-saving operation of the medium-speed maglev train is achieved.

The invention relates to a scoring method for the color quality of light beam laser paper. The method includes the steps of: adopting a color measurement automatic detection system, and during measurement, enabling a light beam direction of light beam laser paper to be vertical to a horizontal direction of a measuring platform; setting an interval of adjacent measuring points of a color measuring instrument in the horizontal direction of the measuring platform, the number of the measuring points, and the line spacing and line number in a vertical direction; reading color information of a sample to be measured in different positions; measuring chromatic values of a standard sample and a test sample respectively, and adjusting data obtained by measurement to a same period position vertical to a light beam to calculate and compare in one-to-one correspondence; making statistics of calculated values of chromatism according to the law of three aspects of being smaller than small chromatic aberration, being larger than a chromatic aberration tolerance and different chromatic aberration interval distribution; and adopting different weighted weights to calculate a comparative score of the standard sample and the test sample, thereby judging whether the test sample is qualified. The scoring method for the color quality of the light beam laser paper positions all samples to be measured to a corresponding position of light beam laser paper in a unified manner to perform sampling and comparison, thereby improving the measuring accuracy.

The invention relates to a seedling conveying mechanism of a potted seedling transplanter and belongs to the technique field of agricultural machinery. The mechanism comprises a seedling conveying bracket, wherein the seedling conveying bracket is provided with left and right support columns supported on a bottom beam, a left upright is fixed at the left side of the left support column; rotatable upper and lower driving chain wheels are arranged at the upper and lower parts of the left upright; a right bracket is arranged at the right side of the right support column; a right upright is fixed at the right side of the right bracket; rotatable upper and lower driven chain wheels are arranged at the upper and lower parts of the right upright; upper and lower chains are surrounded between the upper and lower driving chain wheels as well as between the upper and lower driven chain wheels; seedling conveying buckets in interval distribution are arranged among the outer sides of the corresponding chain sections of the upper and lower chains. The seedling conveying mechanism is simple and practical in structure; as the synchronous conveying of the upper and lower chains is adopted, the conveying is table, the taking-out and placing-in operation of seedlings can be efficiently and rapidly completed; the seedlings are not prone to damage and a foundation is laid for full automation of the transplanter.

The invention relates to a monitoring layout of shallow trench isolation process which is used for monitoring shallow trench isolation process window. The invention comprises a plurality of pattern groups used for monitoring an etching process window. Each pattern group consists of a plurality of line drawings and open drawings of interval distribution. The line drawings are used for forming an active region and the open drawings are used for forming shallow trench isolation; a method applying the monitoring layout of shallow trench isolation process for monitoring the shallow trench isolation process includes the following processes: the monitoring layout transforms a trench formed in a semiconductor base through photoetching; a dielectric layer is deposited in the trench and is flatted; the etched, deposited and flatted semiconductor base is respectively cut to form a section, which can monitor the shallow trench isolation process window which is etched, deposited and processed through chemical mechanical polishing.

The invention discloses a gradient-based image noise level estimation method. The method comprises the steps of (1) dividing a noised image to be subjected to noise level estimation into a plurality of image blocks fixed in size; (2) calculating a comprehensive gradient measurement value of each pixel in each image block, and selecting a predetermined number of the image blocks according to interval distribution of comprehensive gradient measurement values; (3) performing de-noising on each selected image block by utilizing a neural network and calculating a variance value before and after de-noising; and (4) selecting a minimum variance value as a final image noise level estimation value. According to the method, the corresponding image block with relatively weak texture is selected in an image gradient statistics manner, so that the calculation precision of the final variance is improved; and by utilizing the neutral network, the selected image block is de-noised at first and then the variance of the image block with a difference value is calculated, so that an algorithm is more robust and the application range is wider.

The invention provides a method for producing biomass fuel blocks from sludge of a sewage plant. The method comprises following technological steps: 1), preparation of an agricultural waste mixture: agricultural waste is crushed, and the agricultural waste mixture is prepared; 2), sludge fermentation: sludge fermentation flora and water are sufficiently mixed in a ratio being 1: (40-70) in parts,a spray solution is formed, the sludge and the waste mixture are stacked in a fermentation chamber in a mode of interval distribution of sludge layers and waste mixture layers, fermentation products are obtained after fermentation, and water content of the fermentation products is not higher than 30%; 3), molding: the fermentation products are filtered by a filter sieve, undecomposed objects including plastic bags, iron blocks and the like are removed, the sieved fermentation products are subjected to high-temperature extrusion by a molding machine, and rod-like fuel blocks are obtained. The method has the advantages that the sludge is effectively degraded, stink emission is greatly reduced, biomass fuel is produced, and waste is changed into wealth.

The invention relates to a thyristor valve with a component force jacking mechanism, and the invention comprises a thyristor valve string which is composed of a plurality of thyristors and radiators which are in interval distribution, a disc spring and a flange disk which are arranged at one end of the thyristor valve string, a disc spring guide rod which is connected on the flange disk and a jacking device which is arranged at the other end of the thyristor valves string. The invention is characterized in that the jack mechanism is the component force jacking mechanism and comprises a jacking guide rod. The outer part of the jacking guide rod is provided with a guide sleeve, and the end part of which is connected with a flange disk by screws. The end part of the flange disk is connected with a jacking plate by three jacking bolts. One end where the jacking guide rod touches the jacking plate is a ball head. The flange disk on the component force jacking mechanism and the flange disk at one side of the disc spring are connected with an upper fixed plate and a lower fixed plate via bolts. The invention has the advantages of simple structure, convenient installation and repair, safe use, broad application in a controllable series compensation device and a static compensation device in the power system.

The invention discloses a floor pavement structure and the paving technique of the flooring. The floor pavement structure comprises a damp proof course (10), a keel layer (20), a floor (40) which are paved on a floor pavement base level, wherein the floor (40) is pieced together by a plurality of floor strips. The keel layer (20) consists of a plurality of plate padding blocks (21) with interval distribution. A groove (22) is formed between the side walls corresponding to the plate padding blocks (21), and the plate padding blocks (21) are fixedly connected with the floor (40). The invention has the advantages that the balance between temperature and humidity of the surface and the undersurface of floor is ensured and the possibility of transformation of the floor is reduced, thereby prolonging the service life of the floor; the walk sounding is eliminated, therefore the environmental quality of working and living places is improved and raised; the pavement way of the keel layers prevents the building structure from being damaged, meanwhile, the constructions requirements of the architectural floor pavement which is heated by the geothermy are well met; the pavement operation is much easier and more standard, thus improving the efficiency of pavement to a large extent.

The invention provides a physiological signal interval series-based cardiac function noninvasive detection device. The device comprises a sensor module, a physiological signal detection module, an analog-to-digital conversion module and a cardiac function noninvasive detection module which are connected in turn, wherein the sensor module is used for acquiring a physiological signal; the physiological signal detection module comprises an amplifying circuit module, a filtering circuit module and a denoising circuit module; and the cardiac function noninvasive detection module comprises a physiological signal characteristic point extraction module, a preprocessing module, a five-classification histogram and index computation module and a cardiac function evaluation module. The cardiac function of a testee is evaluated by constructing a five-classification histogram from physiological signal interval series and using index physiological signal interval distribution density, and the cardiac function state of the testee can be accurately, noninvasively, conveniently and quantitatively provided.

The invention, which belongs to the technical field of photonic crystal fibers, particularly relates to a hollow-core anti-resonance optical fiber polarization filter comprising a fiber core region and a cladding region. The fiber core region is a vacuum region; and the cladding region coats the outside of the fiber core region. The cladding region includes an inner cladding and an outer claddingwrapping the inner cladding; the inner cladding is formed by an annular ring formed by equal-interval distribution of a plurality of capillary tubes. The capillary tubes distributed in the y-axis direction are filled with metal and other capillary tubes are not filled with metal in the annular ring formed by the capillary tubes of the inner cladding. When the fiber core mode and the SPP mode meetthe phase matching condition, resonance coupling, that is, a surface plasmon resonance effect is made. The designed metal filling type hollow-core anti-resonance optical fiber has the good polarization filtering function in a communication waveband and the low-loss integration with the hollow-core anti-resonance optical fiber is realized, so that the application field of the hollow-core anti-resonance optical fiber is further widened.

The invention discloses a multi-wavelength heralded single-photon-source generating system and method based on an LBO crystal. An optical frequency comb technology is adopted, a single laser light source excites multi-wavelength subcarriers which are good in carrier-to-noise ratio, high in flatness, large in carrier quantity and uniform in wavelength interval distribution and the LBO crystal whichis high in nonlinear coefficient are utilized to generate an entanglement photon pair, wherein the wavelengths are 1.3 micrometers and 1.5 micrometers, idler frequency light uses 1.3 micrometers, signal light uses 1.55 micrometers, the wavelengths are in the communication wave band, and the optical fiber loss is small; commercial mature wavelength division demultiplexers are utilized, for example, an arrayed waveguide an arrayed waveguide grating demultiplexer is utilized for photon separation, the isolation degree is high and insertion loss is small; an heralded light source technology is adopted, the idler frequency light (1.3 micrometers) pulse is used as a timed gating signal of probing signal light (1.55 micrometers), the dark count influence is drastically reduced, and the secret key formation rate and the safe transmission distance of a quantum secret key distributing system are increased.

The invention discloses a time weighting-based mine pressure data processing system and method, and belongs to the technical field of mine pressure monitoring. The system comprises a login module, a data storage module, a data segmentation module, a data analysis module and a data output module. The method mainly comprises the steps that the data storage module sends mine pressure data; the data segmentation module screens and segments the mine pressure data into target data; the data analysis module calculates a first roof weighting step, a periodic roof weighting step, first roof weighting strength, periodic roof weighting strength, a support setting load mean value, a support working resistance mean value, support time-weighted average working resistance, a support setting load interval distribution frequency, a support working resistance interval distribution frequency and a support time-weighted working resistance interval distribution frequency; and the data output module displays a storage calculation result. According to the system and the method, automated processing of the mine pressure data is realized, so that the mine pressure data is presented more intuitively; and the support action strength and the time are associated by utilizing time weighting, so that a data processing result is closer to reality.

The invention discloses a texture synthesis method based on multiplexing, which comprises the following steps: after analyzing the texture of the sample, generating a small texture block by using a texture block interval distribution synthesis method; selecting a group of new larger texture blocks from the synthesized texture region according to the phase positions, and filling the larger texture blocks into the target texture so as to increase the size of the synthesized texture region; and continuously selecting a new larger texture block from the synthesized texture region through multiplexing to enlarge the synthesized texture region until the target texture is generated. By using the method of the invention, the completed block selection calculation and seaming calculation can be multiplexed, thereby reducing the amount of calculation for block selection and seaming calculation and saving the synthesis time; all the synthesis steps can be realized on CPU, thereby being beneficial to avoiding generating oversize texture due to space limitation; and the invention adopts the multithreading acceleration technology and can acquire higher synthesis velocity.