4results about How to "Efficient reading and writing" patented technology

The invention provides a method and a device for realizing service process recovery by accessing a shared memory, and belongs to the field of storage configuration. Comprising the following steps: dividing a system into a business layer, a memory pool layer, a shared memory connection layer and an operating system layer; initializing all objects needing to be recovered, and constructing the objects on a shared memory area; replacing all global new / deelete operators in the system with a shared memory version; executing a fork operation in the system, and managing the shared memory area for the generated child process inheriting the parent process through a pointer type object of the child process; and in a multi-process model in which a parent process or child process relationship is not shared, calculating the mapping offset during the current call and the last call, and correcting all the pointer objects according to the offset. According to the method, the stability, reliability and efficiency of the system are effectively improved, quick recovery of the shared memory is realized in a multi-process environment, and powerful support is provided for high-performance operation of the system.

The invention discloses an image-text data rapid processing method and system, and relates to the technical field of data processing.The method comprises the steps that image-text data uploaded by a user are received, and the image-text data are stored through a double-cache queue; classifying and marking the image-text data in the double-cache queue, separating the text data from the image data, and establishing a feature index for the text data; performing feature extraction on the image data to generate an image feature vector, and associating the image feature vector with a corresponding feature index; synchronously processing the feature index and the image feature vector to generate fused feature data; and storing the fused feature data into a distributed database, and organizing and storing the fused feature data according to a preset data structure. According to the method, the image-text data processing efficiency and accuracy are remarkably improved by adopting the technologies of storing the image-text data by adopting the double cache queues, extracting features by adopting the deep learning model, performing parallel computing processing, performing feature fusion and the like.

The application discloses an airport ground equipment high-quality data set collection method, comprising the following steps: S1, deploying a sensing module on the airport ground equipment, the sensing module is responsible for collecting multi-source original data and transmitting to an edge computing gateway; S2, the edge computing gateway receives the data collected by the sensing module, synchronizes time by using a GPS clock, processes the synchronized data, and uploads the data to the cloud; S3, a data collection module of the cloud receives the data uploaded by the edge computing gateway; S4, a data labeling module labels the received data; S5, a data storage and management module stores and manages the labeled data; the application has the advantages of collecting airport ground equipment high-quality data sets, solving the problem of insufficient airport ground equipment knowledge base data, providing a strong data foundation for the development of artificial intelligence in the field of airport ground equipment, and the like.

Embodiments of the present application provide a task processing method, a processor, a server and a storage medium for multiple operating systems, which are applied to an intermediate service cluster. The task processing method comprises the following steps: calling a task acquisition interface of a host service to acquire a to-be-processed task list in the host service; caching the to-be-processed tasks in the task list to a memory database of the intermediate service cluster; acquiring the to-be-processed tasks from the memory database; parsing the to-be-processed tasks to generate corresponding task messages; in the case that it is determined according to the task messages that the to-be-processed tasks are compliance tasks, sending the task messages to a message queue; calling a task processing interface of a scheduling platform to send a task processing instruction to the scheduling platform, so that the scheduling platform processes the to-be-processed tasks corresponding to the task messages in the message queue according to the task processing instruction. The to-be-processed task list in the host service is acquired by the intermediate service cluster and cached to the memory database, so that the task information can be ensured not to be lost.