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75results about How to "Intuitive inspection" patented technology

Testing tool system and testing method for LNG ship liquid cargo compartment three-dimensional board CM nodes

The invention discloses a testing tool system for LNG ship liquid cargo compartment three-dimensional board CM nodes. The testing tool system comprises an inner clamping template and an outer clamping template. The inner clamping template is used for aligning the LNG ship liquid cargo compartment three-dimensional board CM node. The outer clamping template is used for verifying in a CM node verification stage after welding of the LNG ship liquid cargo compartment three-dimensional board CM node. The three-dimensional board comprises a transverse board, a vertical board and an oblique board. An included angle between the transverse board and the oblique board is alpha. A first reference line which is perpendicular with the transverse board is engraved on the transverse board. A second reference line which is perpendicular with the vertical board is engraved on the vertical board. According to the testing tool system, testing templates which matches the three-dimensional board are utilized. The testing templates comprise the inner clamping template for quick assembling and loading, thereby ensuring high precision and high stability in assembly. The testing templates further comprise the outer clamping template for after-welding verification. For ensuring high accuracy in final state measurement, the specialized outer clamping template is utilized, thereby truly testing the final deviation of each node.
Owner:HUDONG ZHONGHUA SHIPBUILDINGGROUP

Cognitive medical and industrial inspection system and method

The present invention relates to inspection of medical patients including, but not limited to, phonocardiography, auscultation and ultrasound medical imaging and other non-acoustical inspection techniques; and industrial non-destructive testing and evaluation of materials, structural components and machinery; and more particularly to the incorporation of cognitive artificial intelligence into an inspection system and method that utilizes cognitive mathematical techniques which emulate the cognitive processing abilities of the human brain including, but not limited to, symbolic cognitive architectures and inference process algebras, to analyze data collected from infrasound acoustical sensors (0.1 Hz-20 Hz), audible acoustical sensors (20 Hz to 20 kHz), ultrasound acoustical sensors and transmitters above 20 kHz, data collected from other non-acoustical inspection devices and systems including, but not limited to electrocardiography (EKG), computed-tomography (CT), single photon emission computed tomography (SPECT), positron emission tomography (PET), magnetic resonance imaging (MRI), electromagnetic testing (ET), magnetic particle inspection (MT or MPI), magnetic flux leakage testing (MFL), liquid penetrant, radiographic (x-ray and gamma ray), eddy-current testing, low coherence interferometry, and combinations thereof (i.e., multi-modality inspection data); fuse this data resulting in the generation of new metadata; and then utilize cognitive mathematical techniques to interpret this data against inspection signatures that characterize conditions being diagnosed. The present invention has the ability to also identify and anticipate abnormal conditions that fall outside known inspection signature patterns; and communicate the inspection results to an operator thereby simplifying the initial inspection and diagnosis for medical patients and industrial objects; minimizing false negative and false positive initial inspection results and lowering costs.
Owner:1619235 ONTARIO LTD

Pavement disease rapid inspection method based on mechanical indexes and artificial neural network

The invention relates to a pavement disease rapid inspection method based on mechanical indexes and an artificial neural network, and the method comprises the following steps: taking VMI values, vehicle speeds, vehicle elevation information and amplitudes on roads with different disease types in a vehicle driving process as a group of data, and forming an input data set by a plurality of groups of data; clustering the data in the input data set by using the SOM neural network, and outputting a corresponding clustering result; determining real disease classification level information corresponding to the acceleration characteristic information in each clustering center range according to the data in the clustering center range corresponding to the corresponding time information and latitude and longitude information, and establishing a sample disease database; and training a decision tree by using the established sample disease database, establishing a decision tree model, and performing disease classification and hierarchical decision on the damaged road. The method has the advantages of being short in detection period, low in cost, high in precision and not affected by subjective factors of people, and rapid recognition, classification, grading and positioning of pavement diseases are achieved.
Owner:HEBEI UNIV OF TECH

Three-dimensional-part-model version comparison system based on Creo software

The invention discloses a three-dimensional-part-model version comparison system based on Creo software. The system includes a system main-control module, a source-model reading module, a comparison-model reading module, a model comparison module and a visualization module. The system main-control module is used for providing comparison information types and source-model and comparison-model storage paths, and sending control instructions and the like. The source-model and comparison-model reading modules read corresponding information of a source model and a comparison model, and send the same to the model comparison module. The model comparison module adopts a method of traversal to compare the corresponding information of the source model and the comparison model piece by piece according to a comparison information type. The visualization module adopts row-by-row pairing lists or a manner of three-dimensional visualization to carry out result difference display according to the comparison information type. According to the system, comparison efficiency of different design versions of three-dimensional rocket part models is improved, manpower operation burdens and error probability in a traditional-manual-manner comparison process are reduced, and a product development cycle is shortened.
Owner:BEIJING INST OF ASTRONAUTICAL SYST ENG +1

Travel generation prediction method, system and device based on gradient boosting decision tree

The invention belongs to the field of population travel generation and prediction, particularly relates to a travel generation and prediction method, system and device based on a gradient boosting decision tree, thereby solving problems that an existing travel generation method cannot truly reflect the nonlinear relationship between an input value and prediction, the model inspection calculation amount is large, and a result is not visual. The method comprises the steps: extracting independent variables of current travel generation data of each traffic cell in a to-be-predicted area, and performing normalization processing; obtaining a prediction value of each current traffic cell of the to-be-predicted area through a travel generation prediction model; and carrying out reverse normalization on the prediction values to obtain prediction travel generation data of each current traffic cell of the to-be-predicted area. According to the method, the nonlinear relation between original inputand output can be accurately reflected, the square error principle is used for searching the minimum division characteristic and division points, redundant variables are automatically ignored, the manual screening process of the variables is omitted, and high precision and robustness are achieved.
Owner:北京市城市规划设计研究院 +1
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