9 results about "Data association" patented technology

The invention provides an industrial enterprise equipment working condition discrimination and environmental protection condition monitoring method. The method comprises the following steps: according to historical power utilization data of an enterprise, extracting classification information of an operation state of power utilization equipment; according to the basic information and the data association degree of the pollution production and control equipment of the enterprise, establishing a pollution production and control equipment matching relationship; and finally, judging whether the equipment state is within a reasonable interval or not according to the monitored enterprise electricity consumption information. By mining electric power data of each monitoring point of an enterprise and extracting electric power characteristics of the equipment in different operation states, various working states of the equipment can be distinguished; by calculating the correlation degree between the monitoring points, accurate matching of the corresponding relation between the pollution-increasing and pollution-controlling points can be realized; through statistical analysis of working conditions of each group of production and pollution control equipment, monitoring of environmental protection conditions of enterprises and evaluation of unreasonable production degrees can be realized.

The invention discloses a detection method and system based on a multi-sensor fusion drivable area, and a vehicle, and the method comprises the steps: carrying out the nearest distance solving and data association calculation of data points of each lane, carrying out the comparative analysis of an association result, taking the data point with the highest existence probability as a cut-off point of each lane, and finally outputting the cut-off point. By means of the method, the drivable area can be detected in real time, the maximum passable range of each lane can be continuously output, the defects caused by missing detection of a single target detection module are effectively overcome, the safety of the whole vehicle is improved, and an effective judgment basis is provided for planning and decision making of an unmanned driving system.

The invention discloses a data storage method and device, equipment and a medium, and belongs to the technical field of data processing. The method comprises the steps that under the condition that a storage mode subscription service is started, if it is monitored that a data consumer consumes target data, a target storage mode associated with the target data is selected from candidate storage modes; and storing the target data by adopting the target storage mode. By means of the technical scheme, differential storage of mass data is achieved.

The invention discloses a GIS equipment temperature field reduced-order rapid simulation method and device, and the method comprises the following steps: S1, building a three-dimensional geometric simulation model of an inspection object according to the physical structure of the inspection object, performing multi-group working condition simulation on the established three-dimensional simulation model by utilizing finite element simulation software to obtain multi-group three-dimensional temperature field simulation analysis results; s2, according to the established three-dimensional geometric simulation model and the temperature field three-dimensional simulation result, extracting the temperature field three-dimensional simulation result as a temperature field one-dimensional data set through feature point extraction and temperature information data association on feature points; and S3, different input conditions are changed, simulation is carried out through the step S1, a training sample library is constructed according to the corresponding input one-dimensional data set and the corresponding temperature field one-dimensional data set obtained through extraction in the step S2, a training model is constructed, learning is carried out through machine learning software by utilizing samples of the training sample library, and a reduced-order model is generated.

The invention discloses a track fusion method and system based on a single intersection and multiple sensors, and relates to the field of intersection intelligent vehicle management, and the method comprises the steps: firstly determining successfully matched target points and unsuccessfully matched target points in a current frame according to a preset data association algorithm and the radar distance information and camera distance information of each target point of the current frame; then different track information generation strategies are adopted for target points under different conditions, Kalman filtering does not need to be carried out, and therefore the method is high in universality and suitable for distributed sensor track management of various video tracking algorithms and radar tracking algorithms, meanwhile, the corresponding track information generation strategies are selected according to the types of the target points, and the track information generation strategy generation efficiency is improved. The calculation amount and errors in the data fusion process can be reduced.

The invention provides a bus-mounted video passenger OD analysis system, method and device and a storage medium, and belongs to the field of intelligent traffic and computer vision.The method comprises the following steps: encoding and decoding bus video streams in real time through intelligent edge computing equipment; detecting and tracking each passenger appearing in the bus video through a target tracking network; judging the passenger getting-on and getting-off state detected and tracked in the video, and storing and taking the snapshot information of the getting-on and getting-off passenger in the moving process; extracting feature vectors of snapshots of boarding and alighting passengers through a pedestrian re-recognition algorithm, and storing the feature vectors into a database; capturing data such as a bus GPS (Global Positioning System) through intelligent vehicle-mounted equipment, and storing the data into a database; and performing passenger similarity matching and data association through an OD association algorithm, so that the travel OD of the bus passengers is obtained through analysis; The problem that passenger OD analysis is not accurate in an existing bus scene is effectively solved, and the method can be conveniently deployed and transplanted to city-level large-scale application.