37results about How to "Dynamic acquisition" patented technology

The invention discloses a spectrum acquisition system and a spectrum acquisition method for a scintillation light source. The system comprises a scintillation light source, a spectrometer and a controller, wherein the output end of the controller is electrically connected with the input end of the scintillation light source; the input end and the output end of the controller are connected with the input end and the output end of the spectrometer; the controller is used for controlling the scintillation light source and the spectrometer to be synchronous according to the set input scintillation light source triggering times, the spectrometer integral time and the spectrum average times, light source spectrum and dark spectrum data information gathered by the spectrometer is acquired effectively in real time, the average light source spectrum data and the average dark spectrum data are acquired according to the spectrum average times, and finally, the average dark spectrum data are subtracted from the gathered average light source spectrum data to obtain the spectrum data for the scintillation light source at each time. Thus, the scintillation light source and the spectrometer data work cooperatively, and the spectrum data precision is improved.

The invention discloses a method for obtaining a vehicle travel path and an OD (Origin-Destination) matrix in a statistic period. The method comprises the following steps: dividing traffic zones and roads in a certain road network area; placing a vehicle detecting device at an exist or an entrance behind each road section or combined road section to detect an unique identifier of a travelling vehicle; in the statistic period, collecting information of the vehicles travelling on the road without interruption by utilizing the vehicle detecting devices, and storing the information into a background database; extracting time and position data of each vehicle within the statistic period to obtain path information of the vehicle within the statistic period, and storing; obtaining the traffic zones, in which the origins and the destinations of the vehicles are located according to the path information, and comprehensively considering origins and destinations of all vehicles, so as to obtain the OD matrix within the counting period. According to the method disclosed by the invention, based on the vehicle identifiers, the vehicle travel path and the OD matrix are dynamically obtained and updated by various data excavating and fusing methods and an advanced computer real-time processing technology.

The present disclosure relates to a flexible sensor and a flexible signal detecting device, comprising: a strain sensor member for obtaining a first signal according to a deformation of a to-be-testedportion of a detected object; an optical sensor member for obtaining a second signal according to the deformation of the to-be-tested portion of the detected object; and a flexible substrate for carrying the strain sensor member and the optical sensor member, and the flexible substrate can be bonded to the surface of the to-be-tested portion of the detected object, so that the flexible sensor isbonded to the surface of the to-be-tested portion of the detected object, wherein the strain sensor member, the optical sensor member and the flexible substrate are all made of flexible materials. Theflexible sensor of the present disclosure integrates the strain sensor member and the optical sensor member, the strain data of the to-be-tested portion of the detected object in a plane and the curvature change data of the orthogonal direction can be acquired in real time and dynamically, and the deformation signal of the to-be-tested portion can be more accurately reflected.

The invention discloses a web mining-based remote sensing product search limited item semantic extension method. The method mainly comprises the following steps: extracting brief introduction content and time information on the basis of a network search result so as to form an extract chapter; extracting time words and space words in the chapter, and labeling basic time expressions corresponding to the time words and the space words; normalizing the labelled basic time expressions; counting the normalized basic time expressions and the space words, ad taking the time and space words which appear at high frequency as extension results. In allusion to the problem that the time and space information input by users has fuzziness, reference performance and dynamics in remote sensing product search, the web mining-based remote sensing product search limited item semantic extension method is disclosed, so that integrated time and space information is positioned, the semantic extension carried out on user input information is realized, the user demands can be correctly understood, and the correctness and timeliness of the search are improved.

The invention discloses a tunnel body form deformation mobile monitoring system and a monitoring method thereof. The hardware comprises a laser scanner, a CCD camera, a speed meter, an inertial navigator, a central control unit and bar codes. The central operation control unit leads the hardware of each sensor to be synchronous, stores the data of each sensor and carries out the corresponding position and stature calculation so as to process the obtained point cloud data of the tunnel sections; the bar codes are distributed at the positions on the tunnel surface where the CCD camera can shootand the storage position information of the bar codes is adopted as the position reference of moving carriers and sensors. The hardware of the tunnel body form deformation mobile monitoring system provided by the invention is helpful for quickly and dynamically collecting space data and for further carrying out the body form deformation analysis through three dimensional modeling and reconstruction of models so as to monitor the deformation process continuously.

The invention relates to a self-adaptive learning feature extraction system based on dynamic learning style information and application, and the system comprises a first information collection modulewhich is used for dynamically collecting and storing the process information of a pre-learning test of a user; The second information acquisition module is used for acquiring and storing learning style self-evaluation information input by the user; and the learning feature generation module is used for carrying out matching processing on the process information and the learning style self-evaluation information to generate a learning style feature value of the user. Compared with the prior art, the method has the advantages that the learning style characteristics of the user can be accuratelyobtained, and then the learning efficiency is improved.