172results about How to "Detailed description" patented technology

The invention discloses an improved fuzzy neural network bus intelligent scheduling method based on a chaos theory, and belongs to the field of intelligent transportation. According to the improved particle swarm bus intelligent scheduling method based on the chaos theory, advantages and complementarity of various algorithms are fully utilized, a series of improvement measures are also introduced, such as conjugate gradient optimization, and inertia factor and constraint factor of the particle swarm algorithm etc., the mechanism and the search performance are researched from the theoretical and practical perspectives, problems of poor global search capability and premature convergence of the conventional optimization algorithm are fundamentally solved, the diversity of population can be obviously increased, the global search capability is obviously improved, the problem of fuzzy information can be effectively dealt with, the convergence speed is fast, and a new high-efficiency method is provided for bus intelligent scheduling.

The invention discloses a method for diagnosing mechanical faults of a distribution switch based on a two-dimensional feature vector cluster of vibration signals. The method comprises the following steps that an acceleration sensor is arranged near a switch operating mechanism and the vibration signals of the distribution switch on different states in the processes of gate switch-on and gate switch-off are obtained; two-dimensional information feature vectors of vibration signal energy and gravity center frequency are extracted through HHT band-pass filtering and conducted on the obtained vibration signals, the normalized two-dimensional feature vectors stand for effective feature quantity of the mechanical state of the distribution switch, and different kinds of mechanical fault diagnosis of the distribution switch can be achieved through a vague K mean value cluster (FKM).

A filter unit for sewage treatment and drinking water provision and components which are suitable for the production and the use of such filter units are described. The filter unit has at least one ceramic filter(3) and at least one holder for liquid-tight fixing of the filter in the holder(2), the filter being fixed in the holder by adhesive bonding with the aid of an adhesive. At the same time, the holder is adjusted to the design of the filter, especially to its design as a flat filter. A separate filtrate collecting channel (21)and a holding device (18)for the filter units or other components allow the provision of a finished filter system which is also suitable for retrofitting of already existing plants.

The invention belongs to the technical field of road design, and relates to a method for determining the minimum distance of road intersections in a harbor district. In the method, frequent lane-changing area of harbor district roads connected with the intersections and the intersections are subjected to two-dimensional cell division, and other parts are one-dimensional cells, and a cell model for harbor district roads near the intersections is constructed. The method comprises the following steps of: (1) constructing a driver sensing module; (2) constructing a behavior module; and (3) setting appearing ratios of various vehicles in a main road, speeds of the various vehicles, and departure frequencies of various vehicles, performing simulation experiments under the conditions of different distances of the intersections and different departure frequencies, and analyzing the simulation to obtain a traffic flow space-time map and vehicle delay data so as to obtain the minimum distance of proper intersections under different traffic conditions. By the method, the influence of the distance of the intersections on the road capacity of the harbor district can be accurately reflected, sothat a method for determining the distance of the road intersections in the harbor district under different conditions is provided.

The invention relates to an immersed vacuum membrane distillation plant and a sewage treatment technology using the same. The immersed vacuum membrane distillation plant comprises a raw water storage tank, a gas dissolving pump, a raw water heating water tank, a membrane distillation hydrophobic membrane module, a condenser, a vacuum buffer tank, a vacuum pump, a water producing tank, a valve, a measuring instrument, and an automatic controller. The sewage treatment technology is characterized in that: raw water is subject to pH regulation, microfiltration and other pretreatment, then the pretreated raw water enters into the raw water storage tank, the sewage in the raw water storage tank is subject to gas-water mixing through the gas dissolving pump, and then the gas-water mixture enters into the raw water storage tank for heating to a specific temperature, membrane distillation is carried out at the specific temperature, the produced water after membrane distillation is directly reused, and a little thick water is treated concentrately. According to the invention, the use of the plant in sewage treatment reduces the effect of concentration polarization and temperature difference polarization in the sewage, reduces membrane pollution, increases the membrane distillation flux, prolongs the operation period of the membrane module, reduces the heat loss of the pipeline, and increases the heat utilization rate.

The present invention discloses a tight sandstone reservoir modeling method. The tight sandstone reservoir modeling method comprises the steps of: taking drilling and logging information as constraints to perform lithology inversion based on post-stack three-dimensional seismic interpretation data to obtain a plurality of inversion data volumes; comparing the inversion data volumes with a logginginterpretation conclusion to optimize an inversion data volume which can most reflect different lithologies; determining a lithology partition criterion according to the dependency of lithology data interpreted from the logging and the values in the optimized inversion data volumes; obtaining a three-dimensional logging lithology data volumes through lithology identification of the values of the inversion data volumes in each three-dimensional grid in the three-dimensional space based on the lithology partition criterion; setting virtual wells at the main body centers of sedimentary facies andthe internal portion of each boundary, and determining the values in the three-dimensional lithology data volumes corresponding to the virtual wells as the lithology data of the virtual wells; and taking the lithology data of the actual drilling wells and the virtual wells as modeling basic data to perform random simulation modeling to obtain a three-dimensional reservoir lithology model so as toachieve the purpose of fine description of the reservoir.

The invention discloses a public opinion smart supervision method and a public opinion smart supervision system. The public opinion smart supervision method provided by the invention comprises the steps of S1, obtaining network public opinion texts by employing keyword lists and network public opinion website lists correlated to city emergency events; S2, analyzing the public opinion texts, thereby obtaining subjects and objects in the emergency events and emergency event characteristic identifiers; S3, carrying out semantic similarity evaluation analysis on the subjects and objects in the emergency events and the emergency event characteristic identifiers, clustering the network public opinion texts and determining hot event classes to which the network public opinion texts belong; and S4, output a clustering result and the determined hot event classes to which the network public opinion texts belong. Through application of the method, vocabularies such as geographic names, names and organization names with high event characteristic representation can be identified rapidly and accurately and the described public opinion events can be depicted deeply and carefully.

The invention relates to a fault diagnosis method of sucker-rod pump well; the method comprises the following steps: acquiring ground dynamometer cards of the known and to-be-diagnosed sucker-rod pump wells; converting the ground dynamometer card of the suck-rod pump well into a suck-rod pump well dynamometer card; redrawing a boundary chain code of a normalization processed pump dynamometer card by 16-direction chain codes; zoning the pump dynamometer card which is redrawn with the boundary chain code, and extracting the characteristic vector of each zone; clustering the characteristic vectors of the quantified pump dynamometer card by spectral clustering algorithm based on particle swarm optimization, so as to finish the fault diagnosis of the suck-rod pump well; the fault diagnosis method of sucker-rod pump well uses the number of the 16-direction chain codes to quantify the characteristic vectors of each pump dynamometer card, so as to effectively and precisely describe the pattern characteristics; the fault diagnosis is achieved by clustering the quantified pump dynamometer card characteristic vectors with spectral clustering algorithm based on particle swarm optimization, without depending one training samples, thus increasing the performance of the diagnosis.

The invention relates to a method for synthesizing seismic records based on three-dimensional Gaussian beam ray tracing and a frequency domain. The method comprises the following steps of: 1) performing kinematics tracking by utilizing a common ray tracing way to obtain a ray path and kinematics characteristics; 2) performing dynamics tracking by utilizing a Gaussian ray beam to calculate dynamics characteristics; 3) synthesizing the seismic records in the frequency domain. As a Futyterman equation based attenuation algorithm, a frequency based green function and a weak anisotropic model of a coupling ray theory can be considered for the synthesis of the seismic records in the frequency domain, the dynamics characteristics of a seismic wave field can be described more delicately in comparison with a conventional method, and the seismic records synthesized by utilizing the ray theory is close to the precision of the wave theory. The method for synthesizing the seismic records based on the three-dimensional Gaussian beam ray tracing and the frequency domain can calculate information such as ray amplitude and phase shift conveniently, can be applied to the fields such as manufacturing of synthesized records, prestack depth migration and waveform tomography inversion.

The invention provides an image voxel and priori brain atlas division fused brain network construction method to overcome defects of node selection methods in the conventional brain network construction method. The method comprises the following steps: preprocessing functional magnetic resonance imaging data; constructing an initial brain network based on image voxels; and constructing a final brain network based on a priori brain atlas on the basis of the initial brain network. Two node selection methods in the prior art are fused, nodes with high degree values are searched on the basis of the image voxel, the nodes are screened by a Talairach encephalic region locating software on the basis of the priori brain atlas, the screened node is taken as a center of a circle to draw a sphere with the radius of 6 millimeters, the sphere is taken as a core node of the brain network, and the final brain network is determined according to the core node and sides of the obtained brain network. By the method, a brain functional network can be comprehensively and delicately described, the core node of the network is visualized in a brain space, and a function of observing a connecting mode between encephalic regions clearly is realized.

The invention relates to a crack fluid type identifying method based on longitudinal wave frequency depending on amplitude versus offset (AVO) and azimuth. Earthquake anisotropism is related to frequency, and when crack media are filled with different kinds of fluid, difference exists between anisotropism intensity and the earthquake frequency changing gradient. According to the method, frequency information is introduced into an AVO and azimuth inversion theory of elastic media, and the inversion theory is expanded to the field of viscoelasticity, namely AVO and azimuth depending on frequency. By solving the formula of the AVO and azimuth depending on frequency, a longitudinal wave anisotropism frequency dispersion item is obtained. The method has the advantages that the application effect of practical data shows that longitudinal wave anisotropism frequency dispersion can be used for identifying the type of fluid in a crack, meanwhile, the method is good in water identifying effect, and the method can be used for practical data and can identify the type of fluid in a crack on an area where the anisotropism degree is high.

The invention discloses a method and a system for monitoring underground engineering portrait information and monitoring information safely. The system comprises a monitoring measurement information processing system, a portrait information processing system, a comprehensive safety monitoring analyzing module, an early-warning and warning output module and a next-stage geologic structure reporting module. The monitoring measurement information processing system and the portrait information processing system are respectively connected with the input end of the comprehensive safety monitoring analyzing module, and the output end of the comprehensive safety monitoring analyzing module is respectively connected with the next-stage geologic structure reporting module and the early-warning and the warning output module. The method and the system for monitoring the underground engineering portrait information and the monitoring information safely acquire monitoring measurement information and portrait information in real time, analyze safety level of acquired data, perform early warning and warning on dangerous situations and forecast geological situations at the next stage, and have the advantages of performing remote control, timely finding and recording abnormal data information and warning data information, being convenient for technical personnel to analyze, and the like.

The invention relates to a power distribution network comprising a direct-current distributed power supply and an analysis method of comprehensive load characteristics of the power distribution network. The power distribution network comprises static loads, a dynamic load bus and comprehensive loads, wherein the static loads are equivalent static loads formed by combining static load elements and the direct-current distributed power supply, a model structure of the comprehensive loads is a generalized comprehensive load model structure and comprises a reactive compensation device, static loads, induction motor loads, an equivalent power supply, a power distribution network equivalent impedor, the reactive compensation device, the static loads, the equivalent power supply and an induction motor are connected in parallel and are connected to an external system through the power distribution network equivalent impedor. The model structure of the comprehensive loads adopted in the power distribution network can integrally describe various load characteristics of nodes, and the problem that after a large number of distributed power generation devices are connected to the power distribution network, the power distribution network affects the comprehensive load characteristics is solved.

The invention discloses a characteristic description method of a plane geometry plane, which belongs to the basic technique in the pattern recognition field. The method comprises extracting geometric figure outline characteristic points through the mode of simulating an image thinking memory geometric figure, utilizing a characteristic point polar coordinate vector and an additional curvature information as a core to form characteristic information for describing a plane geometry shape. The characteristic description method achieves the correct description to the main characteristics of plane geometry shapes. The calculating method of characteristic information is simple, and calculating quantity is greatly reduced. Characteristic information which is accurately described can be got under the complex circumstance of rotating, translating and scaling.

The invention provides an image description method based on a convolutional neural network, a computer readable storage medium and electronic equipment, and solves the problems that an existing recurrent neural network method cannot process sequence signals in parallel and is time-consuming in operation. The method comprises the following steps: 1) pre-training the convolutional neural network; 2) extracting global features and local features of the image, and projecting the global features and the local features of the image into a multi-modal mapping space; 3) performing convolutional coding on the image expression in the multi-modal mapping space in the step 2); 4) carrying out word feature expression; 5) carrying out convolution coding on the description statement in the step 4), 6) calculating the attention, and obtaining the probability of word generation corresponding to the input image; 7) constructing a target loss function between input and output, and performing neural network training by using the loss function to obtain position parameters of the neural network, and 8) inputting the test image into the trained neural network system to obtain a descriptive natural statement corresponding to the test image.

The invention relates to an exhaust gas purification system for diesel engines (1), wherein at least one oxidation catalyst (3), a reducing agent injection device (6) and a reduction catalyst (9) are provided, which are arranged together in a housing (5) having a first lateral chamber (15) close to a first face (16) and a second lateral chamber (17) close to a second face (18), wherein: - the reduction catalyst (9) is arranged in the first lateral chamber (15), - the oxidation catalyst (3) is arranged in an outer annular space (11) of the second lateral chamber (17), - the reducing agent injection device (6) is oriented toward an inner channel (19) of the outer annular space (11) of the second lateral chamber (17), and - a flow path (14) for the exhaust gas from at least one exhaust gas inlet (20) toward at least one exhaust gas outlet (21) is provided, through the following components: oxidation catalyst (3), reducing agent injection device (6), and reduction catalyst (9).

The invention discloses a reliability modeling and evaluation method based on an aerospace product signal transmission path. The reliability modeling method based on the aerospace product signal transmission path has the capabilities of describing complicated features, such as dynamics, stages, polymorphism and correlation, of complicated aerospace products, enabling a model to describe the products more finely; directly utilizing the product development information, preventing reliability analysis personnel from reprocessing the product development information in some degree, enabling a model building method to be simple, and enabling the model to more objectively describe the products; enabling a model quantification method to be more efficient and accurate through a computer sampling simulation algorithm; recognizing the weak links of the products through comprehensive analysis and information mining methods, such as important degree computing and sorting, sensitivity analysis, contrast analysis and tradeoff analysis, and providing effective information for the design improvement of the products.

Recombinant Myxococcus host cells can be used to produce polyketides, including epothilone and epothilone analogs that can be purified from the fermentation broth and crystallized.

The invention discloses a method and system for describing features of a three-dimension geometrical shape, which belong to basic technical category of the mode identification field. The method comprises the following steps of: simulating the way of imagery thinking to memorize the three-dimension geometrical shape, extracting outline feature points on the boundary surface of the three-dimension geometrical shape, and describing the feature points by using three-dimensional polar coordinate vectors and additional curvature information as the core, thereby forming feature information of the three-dimension geometrical shape. The method and the system disclosed by the invention accurately describe main features of the three-dimension geometrical shape, the method for obtain the feature information is simple and calculation amount is greatly reduced; and, in any complicated situation of rotation, translation or zooming, feature information which is described accurately can be obtained.

To support cell search, multiple (e.g., two) synchronization transmissions are sent in a frame with non-uniform spacing. Information is conveyed via the non-equal distances between consecutive synchronization transmissions. Multiple levels of non-uniform spacing may be used to convey different types of information. In one design, the multiple synchronization transmissions are sent in different subframes of a frame, and each synchronization transmission is sent in one of multiple symbol periods in a respective subframe. The synchronization transmissions may be sent in non-evenly spaced subframes to convey frame boundary. One synchronization transmission may be sent in one of multiple possible symbol periods depending on the information, e.g., a particular group of cell IDs, being conveyed. The distances between synchronization transmissions may also be used to convey cyclic prefix length. A secondary synchronization transmission carrying a cell ID may be sent at a predetermined offset from one of the multiple synchronization transmissions.

The present invention belongs to the technical field of architecture and transportation bridges, and more particularly relates to a random traffic flow simulation method in roads and bridges based on measured data. According to the method, an algorithm is compiled by using Monte-Carlo method and a time distance matrix for determining vehicle random head is calculated; by means of time series sequencing, when the time interval of the permutations is equal to the time distance of the traffic flow time matrix, a vehicle generation module is enabled to generate the vehicles that are running on the bridge at the time and attributes are assigned to the vehicles. When the interval of the permutations is less than the traffic flow time distance, the method according to the present invention is only applicable in executing a vehicle running module, and calculating horizontal and vertical locations of the vehicles that are running on the bridge at the time; according to the filtered Poisson process principle and in combination with the practically measured vehicle parameter distribution types, a random traffic flow simulation model is established, and the distribution regulations of randomness of vehicles is described.

The invention relates to a method for establishing a logical relationship between an interested point and a building. The method comprises a building and interested point obtaining step for obtaining the building and the interested point associated with the building, wherein description information of the building comprises shape information and geographic coordinates of the building, and description information of the interested point comprises the name and geographic coordinates of the interested point; and a mapping establishing step for establishing a logical mapping between the associated building shape information and the interested point. According to other aspects of the invention, the invention also relates to an apparatus for establishing a logical relationship between an interested point and a building, a server and a computer readable medium. Through the method, apparatus, server and computer readable medium according to embodiments of the invention, the actual shape of the interested point of the building type can be accurately described, the geographic coordinates of the interested point can be intensively described, and human cost can be largely saved.

The invention discloses a method for manufacturing and managing an operation information model of high-speed railway passenger dedicated line equipment in a virtual reality environment. The method comprises technical steps of constructing a three-dimensional visual platform of the high-speed railway passenger dedicated line, establishing an operation information model of the high-speed railway passenger dedicated line, managing the operation information model of the high-speed railway passenger dedicated line, and performing operation information emergency response of the high-speed railway passenger dedicated line equipment. The method of the invention can perform functions of accurately describing equipment and operation state in detail, visually checking equipment position, surrounding geographical environment and spatial relation between adjacent equipment, performing searching and statistics on equipment and state of the equipment in a random mileage interval, making an equipment maintenance plan through spatial analysis, statistics algorithm, database technology and the like, realizing quick disaster point positioning after equipment alarm, making an emergency response solution according to information such as road network, residential cell, hospital and firefighting facility distribution, and improving management efficiency and operation safety of the equipment.

The invention discloses a network society influence maximization algorithm based on microblog text affective computing, and mainly relates to the field of text affective computing, network society calculation and influence maximization, in particular to a microblog emotional tendency calculation method and a network community relation structure extraction method. Firstly, a special microblog dictionary is constructed according to anagrams, neologisms and new meanings (such as 'watch man') appearing in microblogs. The emotional tendency of microblog texts is analyzed according to a HowNet dictionary. Then, a network community user relationship tree is constructed according to the interaction operation relationship of various users. Finally, network design emotional influence maximization calculation is carried out according to the emotional tendency of the microblog texts and the network community user relationship tree. The problems that the user relationship in a network community structure is single, and maximization influence problem calculation is incomplete are solved, and the microblog emotional tendency can be calculated more accurately, and a network emotional influence maximization user set meeting reality better can be obtained.

The invention discloses a time-space domain statistical matching and weight allocation combination-based moving target detection method. The method comprises the steps of firstly, proposing and researching the importance of neighborhood pixel points distinguishable for a 3-D LWR operator for extracting finer time-space local features of videos; secondly, performing background removal and multi-scale zooming on features of a 3-D LWR template set to form a composite template set, and performing matching with local features of a test video to obtain a local similarity matrix; and finally, performing time-space statistics to obtain a position probability matrix of a moving target, and extracting the moving target by analyzing the position probability matrix. According to the method, a conventional LARK operator is combined with weight allocation, and a new time-space statistical matching detection model of the moving target is built. Compared with an existing supervision method, the same detection precision can be achieved without a large amount of trainings; and compared with an existing non-supervision method, the scene and the shooting angle suitable for the test video are expanded, the false detection rate is reduced, and the method provided by the invention is suitable for visible light videos and infrared videos.

The invention relates to a road edge detection method based on heuristic probability Hough transformation. An Otsu method serving as a self-adapting threshold search method has good robustness on non-structured road region segmentation under a complicated environment. However, the Otsu method can only be used for obtaining an approximate segmentation result of a road region and a non-road region while being incapable of obtaining an accurate road boundary. The method provided by the invention comprises the following steps: uniformly numbering mutually communicated edge pixels to form a plurality of subsets of a Canny edge at a double-threshold detection stage; and firstly carrying out linear fitting on the subset of each edge point through a least square method to figure out the axial line of the point set. The method provided by the invention is applied to road edge detection.

The present invention relates to a fluid cracking catalyst and a method for reducing the discharge amount of NOx in the fluid cracking period. The catalyst composition comprises the following components: (a) an FCC cracking component which is suitable for catalyzing the cracking of hydrocarbon under FCC condition, and (b) granular composition for reducing NOx. The granular composition for reducing NOx has an average particle size larger than 45 micrometer and comprises the following components: (i) at least 10 percent of ferrierite by weight and (ii) inorganic binder which accounts for about 5-50 percent by weight. The inorganic binder is selected from aluminum oxide, silicon dioxide, aluminum oxide-silicon dioxide, aluminum phosphate and the mixture thereof. The method of the invention comprises a step of contacting the raw material of hydrocarbon with the cracking catalyst composition in a raising temperature thereby forming the hydrocarbon component with low molecular weight.

The embodiment of the invention relates to a data processing method and system used for the behavioral description of an intelligent vehicle. The method comprises the steps that environmental sensinginformation and vehicle state information are obtained; behavioral parameters and state parameters of the intelligent vehicle are extracted; behavioral parameters and state parameters of obstacles areextracted; execution object fields, driving action fields, to-be-executed object fields and constraint condition fields are generated; a driving statement structural model is called, and the fields are assembled into driving behavioral statement information; semantic recognition analysis is conducted on the driving behavioral statement to obtain a predicted running trajectory and state machine behavioral information of the intelligent vehicle; a running trajectory of the intelligent vehicle is generated. According to the method, through the driving statement structural model, description of the intelligent vehicle and target complicated behaviors can be accurately and clearly described in details so that the running trajectory of the intelligent vehicle can be accurately planned, the complicated degree of the system is simplified, and therefore the route planning time of the intelligent vehicle is improved.