141results about How to "Clear division" patented technology

The invention discloses an obstacle detection and road surface segmentation algorithm based on a three-dimensional laser radar, and the algorithm comprises the steps: (1), scanning the surrounding environment through the three-dimensional laser radar to obtain the point cloud information of the surrounding environment, and transforming the point cloud information to a local right-angle coordinatesystem from the coordinate system of the laser radar; (2), extracting an interest data point of the three-dimensional laser radar; (3), extracting a laser radar scanning single line through a radar detection angle clustering method; (4), segmenting the laser radar scanning single line through neighborhood fuzzy clustering based on AIC criterion; (5), accurately locating a road edge and a road surface line end point through corner detection. Compared with the prior art, the method can achieve the real-time and effective extraction of a passable region of a road surface, is high in precision andreliability, is small in judgment error in a recognition process, and can be widely used for an actual occasion of the extraction of the passable region of a structured road based on the three-dimensional laser radar.

The invention discloses a road warning mark detection and recognition method based on block recognition. The method comprises the following steps of performing HSV (Hue, Saturation and Value) color spatial alternation on vehicle-mounted video data and performing binarization processing; extracting profile information of a binarization image, and judging the shape of the binarization image according to the geometrical characteristics of the binarization image so as to detect a warning mark region; extracting block features and HOG (Histogram of Oriented Gradient) features of the warning mark region; matching out the type of a mark to be recognized by using a mark base as the standard; and obtaining the mark detection result. The method has the advantages that the high mark recognition correct rate can be ensured; and the missing detection is effectively reduced, so that the better mark detection result is obtained. A good application value is realized in the field of intelligent traffic.

The invention relates to a system and an achieving method of the system in the technical field of power system automation, in particular to a transformer substation alarming graph gateway minimizing system and an achieving method of the system. The minimizing system utilizes an embedded industrial personal computer as a hardware platform and a RedHat Linux 64 bit operation system as a software platform, and acquires data sources of the whole substation through data of an IEC61850 MMS protocol collection device, a shared memory real-time base and a file memory with a Harsh algorithm as the index serve as data storage media, a message bus runs through the applications for data interaction between different threads, alarming direct transmission service and picture refreshing service for alarming direct transmission and remote browsing are arranged on the base to provide a standard data source for the alarming forwarding and the remote browsed data forwarding. The system and the method solve the transmission and processing problems of a main station and caused by the fact that the access data of the transformer substation increase severely, and a new data interaction mode of the alarming direct transmission and the remote browsing is provided.

The invention discloses an image fusion method and system for a CT coronary image and an XA angiography image. The method comprises extracting a blood vessel image of an XA image, and conducting diffusion processing of the blood vessel image to obtain an XA diffusion image; extracting a CT coronary image, conducting two-dimensional projection of the CT coronary image to obtain a two-dimensional CT image, and then conducting expansion processing of the two-dimensional CT image to obtain a CT expansion image; taking the XA diffusion image as a reference image and the two-dimensional CT projection expansion image as a floating image, according to a similarity measure function, conducting XA image simulation processing of the CT coronary image to obtain a CT-XA simulation XA image; and then loading a registered CT simulation XA image onto the XA image for fusion display. According to the invention, the CT simulation XA image and the CT-XA fusion image can be obtained, and a reference position and direction are provided for undeveloped blood vessels on the XA angiography image.

The invention discloses a CT-XA-image-multi-dimension-fusion-based-based simulation navigation system and method. A CT simulated XA image and a CT-XA fused image can be obtained through a CT coronary artery 3D image extraction and rebuilding module, a CT coronary artery analysis module, a CT coronary artery 3D image simulation XA angiocardiography 2D image module and a CT coronary artery 3D image and XA angiocardiography 2D image registration fusing and displaying module; the high registration accuracy and the whole process full automation can be achieved without accurately dividing an XA blood vessel, a plurality of common XA angiocardiography positions are preset, and angiocardiography position user defining can be further supported. By means of the CT-XA-image-multi-dimension-fusion-based-based simulation navigation system and method, the problem that the XA blood vessel cannot be displayed due to blood vessel blocking is well solved, the position and the direction of the blood vessel are further obtained, and the multi-position and multi-step single-frame single-branch blood vessel fusing navigation of XAs and the CT coronary artery is achieved.

The invention discloses a clustering method. The method comprises the steps that firstly, the pre-classification technology based on the density algorithm is used for obtaining a high-density core class, and a class hierarchy tree capable of representing a dataset structure is determined; then, K-MEANS clustering is carried out according to subclass centers with high representativeness in the class hierarchy tree to obtain fine clusters; finally, the fine clusters are combined according to class attributes in the class hierarchy tree to achieve a precise and stable clustering effect. The stable algorithm based on the fine clusters is provided according to sensibility of K-MEANS to initial clustering centers, convex type classes in a dataset can be divided, and the optimal division can be carried out on classes in irregular shapes.

The invention discloses a system and a process for sludge in situ decrement enhanced by utilizing metazoan and application of the process. The system comprises an anaerobic zone, an anoxic zone, an oxic zone, a metazoan growing zone and a secondary sedimentation zone. A biochemical system can perform in situ decrement through arranging the metazoan growing zone in the sewage treatment process; and cultivated and domesticated metazoan is continuously added in the metazoan growing zone to enhance organism predation, thereby achieving the purpose of sludge in situ decrement and realizing sludge decrement effect of 50-80% of activated sludge. The process of activated sludge in situ decrement with an efficient biological method is suitable for any activated sludge methods and deformation technologies thereof, such as A<2>/O (anaerobic-anoxic/oxic), A/O (anoxic/oxic), SBR (sequencing batch reactor), MSBR (modified sequencing batch reactor), CASS (cyclic activated sludge System), oxidation ditch, MBR (membrane bio-reactor) and the like, can also be used for a biological treatment technology having a biological carrier, can be used for sludge decrement of a newly-built sewage treatment engineering and can also be used for transformation of a built engineering with extremely low transformation cost.

The invention discloses a double-code-stream face resolution fidelity video coding and decoding method for Internet of Things monitoring, and the method comprises the steps: firstly extracting face elements in a monitoring video image, and employing an MTCNN convolution neural network to detect and track a face; then, down-sampling and encoding the original monitoring video to obtain a low-resolution base layer code stream; and then, filling an area corresponding to the upsampled image with the original resolution image of the face, subtracting the upsampled restored image of the low-resolution image to obtain difference information of a face area, and encoding the difference information to obtain a face restoration layer code stream. The invention further provides a corresponding decodingmethod. A double-code-stream face recovery decoding algorithm is adopted, and a monitoring picture with fidelity of the local resolution of the face is obtained through decoding. Local resolution fidelity images of face high definition and background low definition are fused. Rich detail information of key areas in scene elements is reserved. Video coding rate is greatly reduced, the compressionrate of monitoring videos is increased, and the method has very high practicability.

The invention relates to a multiple spanning tree protocol distributed processing system, comprising master control plate and interface plate, where the master control plate comprises multiple spanning tree calculating module and interface management module; and the interface plate comprises interface management module and multiple spanning tree adaptation module. And it also relates to a multiple spanning tree protocol distributed processing method, comprising: multiple spanning tree calculating module of the main control plate calculates interface statuses of the interface plate and sends status setting information to the interface plate; the interface plate sets interface statuses according to the status setting information and returns the setting results to the master control plate. And the calculation is simple, reducing processing burden on the interface plate and able to effectively reduce the master-slave communication bandwidth occupied control plane; and it senses link status variation of the whole equipment by using a mechanism that register call-back function informs of events, implementing external event processing in high efficiency; and it is simple to switch main and backup plates, and in the switching course, the flow of the system can be interrupted because of MSTP calculation.

A system for automatic partition of an intelligent substation and optimization of a virtual local area network comprises a data importing module, a generating module, a checking module and a performance evaluation module, wherein the data importing module, the generating module, the checking module and the performance evaluation module are sequentially connected in the importing data flow direction, the generating module directly transmits data to the performance evaluation module and the checking module, the performance evaluation module further feeds the data back to the generating module, and the performance evaluation module outputs the data finally. The invention further relates to a method for automatic partition of the intelligent substation and optimization of the VLAN. The system and the method have the uniform partition principle, are reasonable and distinct in partition, can conduct conversion check, will not produce human errors, and reduce workload of manual configuration of the VLAN of the intelligent substation.

The invention belongs to the field of information, and particularly relates to an influential communicator recognizing and quantifying method in an online social network. The social network is abstracted as a graph G (V, E) on the basis of an SIR family communication model, wherein V represents the set of nodes, E represents the set of edges, and each edge indicates the relationship between the nodes. The communication capacity S of all the nodes in the graph G (V, E) is calculated by using a greedy algorithm based on the percolation theory, and the size of the communication capacity S of allthe nodes is ordered so that the top M vertexes of the highest communication capacity are found. The beneficial effects of the method are that the global network communication influence is measured through the local network structure so that the time complexity of the algorithm can be reduced.

The invention belongs to the technical field of aero-engines and particularly relates to a real thrust measuring and calculating method for test run of an aero-engine on an indoor test bed. The real thrust measuring and calculating method specifically comprises the steps of 1 determining the spatial position of a control body, 2 arranging a rear cross section measuring point on a lip rear cross section (2), 3 arranging front cross section measuring point on a far front cross section (1), 4 obtaining wind speed values and static pressure values on the measuring points, and 5 obtaining a real thrust value of the test run of the aero-engine on the indoor test bed. According to the real thrust measuring and calculating method, the area of air intake cross section of the engine is reasonably selected, the flow pipe surface for air flowing in a test run workshop serves as a control face, an air intake channel additional resistance correction formula is derived and real thrust is calculated by applying momentum theorem. The real thrust measuring and calculating method has the advantages of being clear in control body division, fewer in correction terms, simple and convenient to calculate and the like, and the problem of real thrust measurement and calculation during the test run of the aero-engine on the indoor test bed can be solved.

The invention discloses a traditional Chinese medicine prescription dispensing sequence control system. The system comprises a database module, a data processing module, a code export module and a control module; the database module establishes a traditional Chinese medicine name basic database, classifies traditional Chinese medicines and obtains a plurality of large categories and a plurality of small categories; the data processing module is used to perform statistics on a key medicine and corresponding related medicines of each small category in each large category, and enable each traditional Chinese medicine to correspond to a medicine bucket according to statistics results to form a four leaf clover type bucket spectrum map; when matching is performed, exchange is needed if a taboo requirement exists; the code export module is used to determine positions of each traditional Chinese medicine and the corresponding medicine bucket by utilizing codes and export the codes after ordering; and the control module is used to receive a doctor's prescription and reaarange a sequence of the prescription according to a traditional Chinese medicine code sequence, and then a medicine taking person takes medicines according to the traditional Chinese medicine code sequence shown on a medicine taking prescription. The system considers a recipe path at the same time, and double channels capable of keeping unblocked and shortening a distance are established; and the generated traditional Chinese medicine bucket spectrum considers placement of special medicines, also integrates arrangement rules of contraindicated medicines, similar-shape medicines and the like into computer arrangement, and is scientific and convenient.

The invention provides a method and a device for detecting keyboard key values. The method includes the steps of: executing keyboard scanning; obtaining a current keyboard detection state, the current keyboard detection state including any one of a first keyboard detection state, a second keyboard detection state, a third keyboard detection state and a fourth keyboard detection state; executing an operation corresponding to the current keyboard detection state according to the current keyboard detection state and the current key state; and updating the current keyboard detection state as a new keyboard detection state when the operation result satisfies a state update condition. The four current keyboard detection states indicate the processes that the keys are pressed and finally recognized and efficient, so that the division of keyboard detection states is clear and simple, and thus MCU resources are efficiently used. At the same time the storage and distribution of the key value information are separated. The MCU use rate, the system real-time performance and the module compatibility are improved.

The invention relates to a labeling method of a single-side point cloud model, in particular to a method of dividing a point cloud model into scenes, constructing a lattice-division model based on anoctree, roughly labeling each lattice-division model, and fine labeling each lattice-division model. The invention relates to a labeling method of a single-side point cloud model, which uses an improved region growth algorithm to label the point cloud model, can clearly divide the mesh boundary, and simultaneously solves the ambiguous labeling problem in the existing pixel level labeling method.

The invention provides a multifunctional table capable of doing revolution and autorotation. The multifunctional table mainly comprises a table plate, a base, a revolution device and an autorotation device, and is characterized in that dinner plates on the table can do regular slow autorotation during the revolution. The revolution of the diner dishes on the multifunctional table is realized through the revolution device; the autorotation of the diner dishes on the multifunctional table is realized through the autorotation device; the power driving and the flat panel television hiding can be realized through an H-shaped rotating support frame; through a servo motor, an ascending and descending gear and a rack, the ascending or the descending of a flat panel television is realized; and through a rotating frame A and a rotating gear A with the same tooth number, the slow regular autorotation of the diner dishes can be realized.

The invention discloses a vector-finite-element parallel solving simulation method based on a LabVIEW and a FPGA. The method includes the steps that 1) preprocessing operation of a vector-finite-element model is carried out through the LabVIEW; 2) particle groups and unit groups of the vector-finite-element model are cut; 3) particle displacement forecasting procedures and particle information alternation procedures which correspond to the quantity of the particle groups and unit internal-force solving and particle internal-force assembling procedures which correspond to the quantity of the unit groups are written in the FPGA through the LabVIEW; 4) model particle responses needing to be viewed are stored in a FIFO storage from a terminal to a host; 5) a data communication interface between a main control computer and a FPGA hardware terminal is constructed, and data transmission between the main control computer and FPGA hardware and visualization of the FPGA-hardware calculated result are achieved. The vector-finite-element parallel solving simulation method based on the LabVIEW and the FPGA has the advantages of being high in operating speed, small in development difficulty, low in calculation cost, visual in data, capable of being packaged into a common module and the like, and is particularly suitable for analytical calculation of structural responses calculated by the vector-finite-element theory.

The invention discloses a social network graph compression method and system based on node classification sorting, and belongs to the field of big data processing, and the method comprises the steps:obtaining the in-degree of each node in a social network graph, so as to obtain a zero-in-degree node in the social network graph, enabling a top-k node with the highest in-degree to serve as a high-in-degree node, and enabling other nodes to serve as community nodes; dividing the high-in-degree nodes into different fields, and sorting the high-in-degree nodes in the same field together; dividingthe community nodes into different communities, and sorting the community nodes in the same community together; sorting all the zero-entry nodes to the end; establishing a graph adjacency matrix according to the sorted nodes, and taking continuous b bits in each row as a bit row; and for each node, only storing the bit line where the neighbor node is located, and encoding with a fixed length is carried out, so as to completing the compression of the social network graph. The operation performance of the graph calculation task can be ensured, and the compression rate of the social network graphis improved.

The invention discloses an intelligent network control system and a method of a fracturing device. The intelligent network control system of the fracturing device comprises a plurality of fracturing device control systems and a plurality of network switching devices which are respectively corresponding to each other and are connected with the plurality of the fracturing device control systems. A plurality of network switching device cascades compose an ethernet ringlike network. The fracturing control systems comprises programmable logic controllers and industrial control computers which are connected with the programmable logic controllers through network cards. Input ends of the programmable logic controllers are connected with sensors and the output ends of the programmable logic controllers connected with actuators. The industrial control computers connected with the network switching devices through the network cards. The method of the fracturing device comprises the following steps: 1. acquiring internet protocol (IP) address, 2. establishing a transmission control protocol (TCP) connection, 3. acquiring data in real time and sharing, 4. and processing the data. The intelligent network control system and the method of the fracturing device are simple in structure, novel and reasonable in design, convenient to realize, free and flexible in network structure, high in stability, strong in practical applicability and high in popularization and application value and can meet the need of large-scale construction.

The single-pixel-based threshold partition method in 3D scanning system comprises: 1. designing a group of grating projection patterns for successive dimidiate; wherein, using the nth coarse grating image to dimidiate the stripes in the (n-1)th image and obtain 2n black-white alternative stripes; projecting patterns to target object, using CCD to take shoot back to a computer; 2. as the binary code should meet selfstandarization request in space, searching gray value for every pixel point in projection patterns, and determining the optimal threshold T by gradual approach and iterative means; 3. taking threshold partition.

The invention discloses a data mining based text data network construction system. The system comprises a data collection module, a data mining module, a social network construction module, a visual display module and a database, wherein the data collection module receives newly added text data, and performs word segmentation on the text data sequentially; the data mining module extracts an eigenvalue of the newly added text data subjected to the word segmentation in the database, compares the newly added text data with stored text data subjected to eigenvalue extraction in the database, and performs association mapping on data with an eigenvalue closest to the eigenvalue of the newly added data; the social network construction module constructs a file by taking a sender of the text data received by the data collection module as a file name and taking a newly added text data name, a name of the data subjected to the association mapping and a sender of data corresponding to the data subjected to the association mapping as file attributes, and forms a social network ontology library; and a visual display module analyzes data corresponding to the file, and performs display in a manner of line segments or nodes.