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339results about How to "Eliminate demand" patented technology

Wheel hub type recognition device and wheel hub identifier tracing management system

The present invention provides a wheel hub type recognition device and a wheel hub identifier tracing management system comprising the wheel hub type recognition device. The system comprises a field information interconnection device; a wheel hub type recognition device; an identifier generating device used for generating an identifier on a wheel hub; a wheel hub clamping and positioning device; and a central control device. The wheel hub type recognition device recognizes the type of a target wheel hub according to hub recognition features and generates the complete hub information in combination with the preset relevant production information. The central control device generates a unique recognition number corresponding to the target wheel hub according to the acquired complete hub information. The identifier generating device receives the above wheel hub information and the recognition number, and generates an identifier on the wheel hub and the attached label carrier thereof. The field information interconnection device participates the presetting or downloading process of the production information and uploads the recognition number of the target wheel hub and the complete hub information corresponding to the target wheel hub after the generation of the identifier. In this way, during the subsequent process of the wheel hub production and the overall usage life cycle thereof, the recognition number can be utilized at any time. Through simply searching an interconnection database, the comprehensive traceability management of each wheel hub is realized.
Owner:深圳镭博万科技有限公司

Componential research and development mode and domain driving model combined application development system and platform

InactiveCN103761082AEliminate demandImprove R&D efficiency and product qualitySpecific program execution arrangementsApplication serverIslanding
The invention discloses a componential research and development mode and domain driving model combined application development system and platform. The application development system comprises a user terminal, a Web server, an application server and a database server which are communicated through a network. The application development platform comprises a data layer, a foundation framework layer, a business service layer, an interface framework layer, a safe control system and an auxiliary application tool. The componential research and development mode and domain driving model combined application development system and platform has the advantages of being capable of smoothly expanding and rapidly responding to user requirement change; eliminating requirement, design and achievement inconsistency due to the domain driving model and improving system research and development efficiency and product quality by a large margin; providing an integration mechanism and effectively avoiding generation of information isolated islands; satisfying reuse requirement maximally due to the componential technology; simplifying business system research and development difficulties due to the fact that a large amount of general assemblies are arranged inside; supporting a centralized management mode of physical concentration, logical disjunction and level-to-level administration.
Owner:HUNAN DATANG XIANYI TECH CO LTD

Panel-sealing and securing system

InactiveCN102105642AEasy initial installation and replacementEliminate demandWallsFireproof doorsFastenerExpansion joint
A panel-sealing and securing system for securing a panel to a mullion coupled with weather seal pressure gaskets for sealing exterior joints under high wind velocity. The mullion is formed in one piece or in two halves of a split mullion which occurs at the joint between multiple pre-fabricated units of a unitized grid system. The mullion has a concealed front corner cavity adjacent to panel for installing the panel-sealing and securing system. For weather sealing, elastic pressure gaskets and expansion joints comprising panel gasket seals at a joint between the panel and the mullion and mullion gasket seals at a joint between the two halves of split mullion where a unitized split mullion system is used. To securing the panel to the mullion and allow for thermal expansion movement of the panel, two segments formed in one piece or in two hinge connected pieces include a gasket holder segment and a spacer plate segment. A retainer may be in the form of a screw fastener, channel or angleclamp with an aperture through which a screw fastener or snap interlocking wedge secures the gasket holder to the mullion. The retainer may be a retainer-cover of the front corner cavity combined in one element. Installation of the retainer secures the gasket holder to the mullion and applies pressure on an end of the panel gasket or the overlapping aligned ends of the panel gasket and the mullion gasket.
Owner:阿齐兹·F.·法拉杰

Rivet assembling method based on augmented reality technology

The invention provides a rivet assembling method based on augmented reality technology. A rivet assembling system applying the augmented reality technology is built, common measuring points and positioning mark points are arranged in an assembly area of a to-be-assembled workpiece, the common measuring points and the positioning mark points are used as information sources collected by an augmentedreality projection unit of a laser tracker and the rivet assembling system to construct an overall map by combining a visual SLAM algorithm, and the accuracy of rivet assembling operation assisted bythe augmented reality technology in a large-scale space is ensured. By combining the laser tracker and a camera, the contradiction between the large-scale space requirement and the local positioningaccuracy requirement in the camera positioning process is eliminated, and the accuracy of a virtual image projected on an augmented reality image display is ensured. During assembly, the augmented reality projection unit superimposes a real image in a real environment and a real-time virtual image, each virtual hole position on the virtual image is marked with a corresponding fastener type, each virtual hole position corresponds to an actual hole position on the real image, so that assembly can be guided in real time and the assembly precision is high.
Owner:TSINGHUA UNIV

Distributed cooperative control method of micro power grid on basis of holdback

The invention discloses a distributed cooperative control method of a micro power grid on the basis of holdback. The distributed cooperative control method comprises the following steps: step 10), under an islanding mode, when a failure occurs on the micro power grid, an energy storage system agent automatically performs primary control, and an energy storage system runs under a constant-voltage/ constant-frequency control mode, so that the power balance of the micro power grid is maintained; step 20), the micro power grid realizes the secondary control of the system, distributed power supplies are controlled so as to synergistically supply power, the distributed power supplies make up for the power shortage of the system instead of the energy storage system, and the frequency and the voltage are regulated so as to restore to rated values. According to the control method disclosed by the invention, hierarchical control, namely the primary control and the secondary control, is adopted as a basis, so that the control method adopts a distributed control manner, demands and complex communication topology for a central processor are eliminated, only a small part of holdback agents needs to control, and other agents perform tracking synchronization with the holdback agents through communication coupling, so that the number of controller is further decreased.
Owner:SOUTHEAST UNIV

Method for detecting software features on basis of system requirement model

The invention provides a method for detecting software features on the basis of a system requirement model. The system requirement model consists of the viewpoint behavior model of all the viewpoints in a system; the viewpoint behavior model consists of all the scene behavior models in the viewpoint; the scene behavior models are formed by combining all the effective behaviors in the scene according to the relations among the behaviors; and the method is characterized by checking the consistency in the viewpoints of the system requirement model and verifying the effectiveness of the behaviors thereof, more particularly, the consistency in the viewpoints of the system requirement model is checked by converting the behavior model expression of the viewpoint behavior model into the expression of a dynamic operation semantic model and judging whether the viewpoint behavior models of two viewpoints are equivalent by observation, and the verification of the effectiveness of the behavior is achieved by converting the system requirement model into an equivalent dynamic operation semantic model, expressing the software features related to the effectiveness of the behavior as the sequential logic formula and carrying out the automatic detection according to the dynamic operation semantic model and the sequential logic formula to obtain the verification result of the effectiveness of the behavior.
Owner:WUHAN UNIV

Laminated scanning based phase-difference wavefront detection and image restoration method

ActiveCN105716725AImproved wavefront detection capabilitiesAccurate measurementOptical measurementsWavefrontPhase difference
The invention relates to a laminated scanning based phase-difference wavefront detection and image restoration method which can be used for restoring wavefront distortions and capable of effectively restoring blurred images affected by aberrations. According to the method, a small-aperture diaphragm is moved within a pupil plane of an imaging system in a laminated scanning mode, and corresponding sub-images affected by different aberrations are recorded by using an image sensor. The recorded series of sub-images are processed by using the laminated scanning based phase-difference wavefront detection and image restoration method, and wavefront distortions of the system can be detected and the images can be restored. The method adopts the small-aperture diaphragm to perform space scanning so as to produce the sub-images having phase differences. Compared with various existing technologies for phase difference methods, the Nyquist sampling frequency is more easily met, an aberration detection range is large, out-of-focus light paths and various diffraction devices are not needed, and the laminated scanning based phase-difference wavefront detection and image restoration method has the advantages of being compact in system, convenient to use and the like.
Owner:INST OF OPTICS & ELECTRONICS - CHINESE ACAD OF SCI

Optimal feature vector design method for carrying out reverse photolysis based on machine learning

The invention discloses an optimal feature vector design method for carrying out reverse photolysis based on machine learning. The method comprises the following steps: dividing a design target pattern into a plurality of grid units; calculating a characteristic function set {Ki (x, y)} according to imaging conditions, i = 1, 2,... N1; establishing a neural network model, and selecting a trainingsample and a verification sample which need to be included in training; calculating a signal set {Si (x, y)} of each grid unit by using a characteristic function set {Ki (x, y)}; taking the value of the strict reverse photoetching at the corresponding position as a target value of neural network training; training, different input end dimensions N1, the number N2 of hidden layers and the number M1of neurons of each hidden layer are adopted; training the neural network model according to different combinations of the input end dimension N1, the hidden layer number N2 and the neuron number M1,M2,... MN2 by using a training sample, and verifying the neural network model by using a verification sample until the neural network model with satisfactory combinations of the input end dimension N1, the hidden layer number N2 and the neuron number M1, M2,... MN2 of each hidden layer is found. Therefore, according to the design method, the neural network does not need a feature extraction layerany more, so that the network architecture is simplified, and the training time is shortened.
Owner:SHANGHAI INTEGRATED CIRCUIT RES & DEV CENT
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