9results about How to "Reliable information" patented technology

The invention provides a laser irradiation two-dimensional thermal response full-field data inversion method, relates to the field of solid physics, and solves the problems that data of an existing experiment high-temperature measuring point is difficult to obtain, laser irradiation stress is difficult to measure, and temperature and stress distribution near a light spot is difficult to obtain. The method comprises the following steps: acquiring temperature field data of a target under the action of laser, and extracting a corresponding pre-function; perfecting the temperature field data based on the extracted pre-function through a temperature field inversion mode to obtain temperature field distribution; performing strain field inversion of the material based on the temperature field distribution to obtain a material strain function; the material strain function and the material mechanical property are combined, material stress field inversion is carried out, and material stress distribution is obtained; based on material stress distribution, selecting different target materials under the action of laser to obtain a damage function of a corresponding material, and completing damage evaluation; according to the invention, a high-temperature area is effectively avoided, a strain gauge is not used for measurement, and the obtained thermal strain and thermal stress are more accurate.

The application relates to the technical field of vehicle control, in particular to a method and device for simulating vehicle end sensor data based on roadside sensors, wherein the method comprises the following steps: generating roadside three-dimensional scene data of roadside sensors based on roadside sensor data of the roadside sensors; generating vehicle body roadside three-dimensional scene data of the roadside three-dimensional scene data in a vehicle body coordinate system based on the roadside three-dimensional scene data and a vehicle body coordinate system of vehicle end sensors; and rendering the vehicle body roadside three-dimensional scene data to obtain simulation data of the roadside sensors simulating the vehicle end sensors. Thus, the problems in the prior art, such as high difficulty, high cost, complex installation, difficult maintenance and the like of data collection and processing, and the difficulty in meeting the increasing demand for vehicle end sensor data, are solved.

The application provides a travel time prediction method fusing uncertainty modeling, and belongs to the field of intelligent traffic and navigation. The method first acquires static road network features, dynamic traffic features and road section external features, constructs a road network directed graph and defines a route R, finds feature values corresponding to road sections in R, constructs initial node embedding and initial edge embedding, and constructs a prediction model; after preprocessing of initial values, each layer of graph convolution network updates node embedding and edge embedding through modeling of interaction between nodes and edges, and finally obtains iterative node embedding and edge embedding; position encoding is performed on the processed route to construct a matrix PE; route embedding is obtained by adding the final node embedding and PE, multi-head attention is performed on the route embedding, and then average pooling is performed to obtain arrival time representation; uncertainty quantization and correction are performed on the arrival time representation to obtain predicted arrival time and upper and lower bounds. The application quantizes the uncertainty of the time prediction result.

Method of measuring bending of a nuclear reactor fuel channel. According to the method a fiber-optic sensor is equipped with a gravity pendulum that is suspended for angular motion at the lower end of the fibre-optic sensor; a flexible hollow carrier rod with the fibre-optic sensor is passed along the central tube of a fuel assembly and using a photoreceiver and a computer the shift of an interference pattern of a reflected light signal in a gas gap between the upper end face of the gravity pendulum and the lower end face of fibre-optic lines connected to the photoreceiver and fastened to the sensor is registered, said gas gap varying during the passage of the fibre-optic sensor as a result of the angular motion of the gravity pendulum away from the axis of the bowed central tube of the fuel assembly. On the basis of the registered shifts of the interference pattern of the reflected light signal, profilograms of the variations of the gas gap for each fibre-optic line of each fibre-optic sensor are recorded; and on the basis of the obtained gas gap profilograms, the magnitude and direction of bending of the central tube of the fuel assembly from the vertical axis are calculated, according to which the presence and magnitude of bending of the nuclear reactor fuel channel are determined.

The present disclosure relates to a sensor ball and a home appliance system having the same. According to one embodiment of the present disclosure, there is provided a sensor ball including a case having at least some curved surfaces, a first board disposed within the case and on which a processor is disposed, and a second board electrically connected to the first board and on which a plurality of sensors are disposed, in which some of the plurality of sensors are disposed on an outer surface of the case or one end of the second board, and the other of the plurality of sensors protrudes from the outer surface of the case or one end of the second board. Accordingly, it is possible to stably sense information from various home appliances using the plurality of sensors.

The application provides an automatic data governance method and system based on a multi-modal large model, comprising: collecting multi-source heterogeneous industrial data and performing standardization processing to form standardized multivariate time series data; constructing a process knowledge base, performing semantic embedding coding on process knowledge text, and storing; constructing and fine-tuning a KTSF multi-modal large model, fusing process knowledge semantics and multivariate time series data through a cross-modal attention mechanism to generate joint semantic representation; based on the prediction of the KTSF multi-modal large model, outputting the residual error between the actual data, dynamically identifying abnormal data; and performing attribution analysis; based on the attribution result, calling the KTSF multi-modal large model to generate a repair value, and intelligently correcting the abnormal data; designing a quality evaluation and feedback learning module for calculating data quality scores and driving model incremental updating; designing a rule self-learning module for automatically refining governance rules through cluster analysis and updating the knowledge base.

The utility model relates to the technical field of rescue machines, in particular to a traction mechanism for an overhead line rescue machine. A hook claw assembly is installed on the walking mechanism, the hook claw assembly is opened towards the cable wrapping robot, a probe and a distance measuring instrument are installed on the walking mechanism, and the orientation of the probe and the orientation of the distance measuring instrument are consistent with the orientation of the hook claw assembly. Firstly, the walking mechanism is hung on an overhead line, then the range finder is matched with the probe, finally, an auxiliary rope or a shell of the cable wrapping robot is hooked through the claw assembly, the cable wrapping robot is dragged back, the range finder helps an operator to accurately measure the distance between the rescue machine and the cable wrapping robot, and then the rescue machine is matched with the probe. The rescue machine can accurately approach and adjust the position and action of the rescue machine in real time, more accurate control is achieved, information more reliable than that of human eyes is provided, the error risk caused by visual errors is reduced, collision is avoided, searching and positioning time is shortened, working efficiency and quality are improved, and safety is further improved.

The invention provides an automatic lane line recognition system based on semantic segmentation, and the system comprises an image collection module which is used for collecting a lane image through camera equipment; the lane image recognition module is used for inputting a lane image into the semantic segmentation model and outputting the lane image of lane line contour information and lane line category information; the lane line skeleton extraction and fitting module is used for extracting a lane line skeleton from the lane image of the lane line contour information and the lane line category information by using the image processing library, and fitting the lane line skeleton to obtain a lane vector line; and the lane line classification module is used for calculating the distance between the vector lines of each lane and classifying the lane lines according to the distance. According to the invention, by using the semantic segmentation model, the system can carry out pixel-level identification on the lane marking and provide a more accurate lane marking extraction result. Therefore, it is ensured that the extracted lane marking is consistent with the actual road condition, and more reliable information is provided for an automatic driving system to use.

The present invention relates to the field of measurement and detection technology, and specifically to a coring device for municipal road construction quality detection. The device includes a coring device body, the coring device body includes an axial distance monitoring module, the axial distance monitoring module is installed on the coring device body, and the axial distance monitoring module also includes: a collection module and a quality status monitoring module; the collection module is used to obtain the up and down reciprocating distance of the coring device for municipal road construction quality detection at different times; the quality status monitoring module is used to adjust the initial axial distance to obtain the optimal axial distance. The present invention determines the appropriate optimal axial distance corresponding to the coring device by analyzing the vibration data, thereby improving the accuracy of municipal road construction quality detection.