3results about How to "Real-time storage" patented technology

The application discloses an Internet of Things mass service bill processing system, method and device and a storage medium, and comprises an application software service layer, a platform environment service layer and an infrastructure service layer.The application software service layer is used for collecting first service bills, and performing format analysis, deduplication, merging and distribution processing on the first service bills to obtain first bill files and first bill messages, and then uploading the first bill files and the first bill messages.The platform environment service layer is deployed with a distributed file system, a distributed coordination service, a data database and a streaming processing framework, is used for receiving the first bill files and the first bill messages, and performing full-amount synchronization on the data database according to the first bill files and incremental synchronization on the data database according to the first bill messages.The infrastructure service layer comprises a bottom cloud host, and is used for providing a computing resource pool, a storage resource pool and a network resource pool.The application improves the processing efficiency of service bills, optimizes the use perception of users, and can be widely applied to the technical field of data processing.

The application relates to a lock-free real-time flow system applied to electroencephalogram, which comprises a collecting unit, a first lock-free ring buffer, a buffering unit, a second lock-free ring buffer and a processing unit; the collecting unit is used for collecting electroencephalogram signals; the first lock-free ring buffer is used for storing the electroencephalogram signals received from the collecting unit in a lock-free mode; the buffering unit is used for performing data preprocessing operation on the electroencephalogram signals read from the first lock-free ring buffer, so as to obtain relevant feature data, and the feature data is stored, packaged and / or transmitted to the second lock-free ring buffer; the second lock-free ring buffer is used for storing the feature data received from the buffering unit in a lock-free mode; and the processing unit is used for suspending a thread after extracting the feature data from the second lock-free ring buffer, and classifying the feature data by using a deep learning algorithm. The application has flexible and efficient data management capability, and has wide adaptability and fast response speed.

The present disclosure provides a video processing method, an electronic device, a storage medium and a product, wherein the method comprises: detecting a video processing request of a first user; wherein the video processing request carries position information and / or a processing mode of a target video to be processed; determining a target cache space corresponding to the first user in a cloud public cache space, and determining a target video corresponding to the video processing request in the target cache space; wherein the target cache space is used to store a video stream generated by the first user on a client; processing the target video according to the processing mode indicated by the video processing request, and returning the target video after processing to the first user. Avoids the situation that the video stream is lost and cannot be traced back due to the user forgetting to click the video recording.