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116results about How to "Achieve intuitive" patented technology

Personalized customization method for function menu of Internet protocol television

The invention discloses a personalized customization method for a function menu of an Internet protocol television set-top box. An Internet protocol television system comprises an input device, a television set-top box for monitoring the signal of the input device and a television for display output according to the command of the television set-top box; the personalized customization method comprises the following steps: firstly, the Internet protocol television set-top box displays an initial menu of a user display interface for the set-top box when out of factory after being started for the first time; secondly, the set-top box monitors the key operations of the user and enters a user editing interface to edit the user display interface of the Internet protocol television according to the monitored user edit menu item request; thirdly, the set-top box responds to the user edit request, displays the preliminary effect after editing and writes the modified menu configuration information into a set-top box database, presets the modified menu configuration information as the initial menu displayed for the next time and then returns the user display interface. The personalized customization method provides the more convenient and quick access and lexible operation for the user to use the television, thereby being more flexible and intelligent and providing the user the simple and intuitive enjoyment and experience in customizing the menu.
Owner:博视联(苏州)信息科技有限公司

Optimal deployment method of large-scale industrial wireless sensor network based on differential evolution algorithm

The invention discloses an optimal deployment method of a large-scale industrial wireless sensor network based on differential evolution algorithm, which ensures the system reliability through carrying out optimization deployment on nodes, and relates to two fields of industrial wireless sensor network and intelligent computation. The method comprises the following steps of: carrying out automatic coordination on spaces according to actual spaces of industrial sites, obstacles, wireless sensor power and accurate requirement; and using the total number of nodes and minimum load standard difference of cluster heads as targets, wherein a node deployment model is established for restriction conditions based on the redundancy requirement, '1' represents arrangement of the cluster heads corresponding to mesh points, and '0' represents no arrangement. The invention provides a new binary differential evolution algorithm for optimizing and solving the model. By using a new probability prediction operator, the population is updated by a generated binary variation individual. The method can ensure the system reliability, and can reduce the construction cost of the system at the same time, balances the system energy consumption and prolongs the network life cycle through the optimization deployment of the nodes.
Owner:SHANGHAI UNIV

Multi-object optimized deployment method for industrial wireless sensor network

The invention discloses a multi-object optimized deployment method for an industrial wireless sensor network, comprising the following steps: (1) dividing a monitoring region into three-dimensional grids, and arranging sensor nodes, cluster heads and base stations on cross points of the grids; (2) generating obstacle matrixes; (3) representing harmony individuals; (4) setting algorithm control parameters; (5) setting communication radiuses of the sensor and the cluster heads; (6) judging whether the communication between the sensor nodes and the cluster heads satisfies the conditions; (7) judging whether the hop number of communication between the sensor nodes and the base stations satisfies the conditions; (8) initializing harmony matrixes by using a heuristic strategy; (9) calculating an objective function value of each harmony; (10) finding out the optimized harmony; (11) generating a new harmony; (12) comparing the quality of the new harmony with the quality of the corresponding harmony in a harmony memory vault; (13) updating the optimized harmony; and (14) judging whether the stopping conditions are satisfied or not. The method can realize multi-object optimization for system reliability, and real-time performance, sensor node deployment cost and maintenance cost of the industrial wireless sensor network, and can satisfy the industrial actual requirements.
Owner:SHANGHAI UNIV

Reservoir fracture identification method and imaging logging reservoir fracture identification method

ActiveCN104977617AOvercome the problem of missing explanationsGuaranteed accuracySeismic signal processingSeismology for water-loggingPorosityLithology
The invention discloses a reservoir fracture identification method and an imaging logging reservoir fracture identification method, wherein the reservoir fracture identification method comprises the steps of a step of determining a porosity curve, wherein an acoustic porosity curve and a density porosity curve of a to-be-analyzed reservoir are respectively calculated based on the lithological information of the to-be-analyzed reservoir according to a preset reservoir curve model; a step of determining a porosity curve assembly, wherein the acoustic porosity curve is superposed with the density porosity curve as the porosity curve assembly of the to-be-analyzed reservoir at the dry layer of the to-be-analyzed reservoir; and a step of identifying the type of the fracture, wherein at other layers of the to-be-analyzed reservoir, the acoustic porosity curve is compared with the density porosity curve in the porosity curve assembly, and determining the fracture type of a corresponding layer segment based on the comparison result according to the preset fracture model. The reservoir fracture identification method and the imaging logging reservoir fracture identification method can perform reservoir fracture type identification visually, quickly and reliably, and furthermore can effectively settle a multi-solution problem and a solution omission problem in an existing method.
Owner:CHINA PETROLEUM & CHEM CORP +1

Tightening technology online fault detector based on process data analysis and method of detector

The invention discloses a tightening technology online fault detector based on process data analysis and a method of the detector. The tightening technology online fault detector comprises a tightening process data acquisition module, a processor and a fault classifier, the tightening process data acquisition module is used for acquiring bolt tightening process data in real time and transmitting the data to the processor, the processor is used for preprocessing the received bolt tightening process data, retaining tightening process data with pure rising moments, transmitting the preprocessed tightening data to the fault classifier acquired through offline training to perform fault classification and outputting fault classification results, particular processes of the fault classifier acquired through offline training include that according to historical data of tightening processes and corresponding faults of the tightening processes, the historical data of the tightening processes areclustered to form a plurality of data subsets, tags are set to form a tightening technology fault training sample set, and learning training of process curves of tightening technology is performed bythe aid of a machine learning classification algorithm based on the tightening technology fault training sample set to obtain the fault classifier.
Owner:SHANDONG UNIV
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