Abstract: The present invention discloses a method for onset time detection of a time-domain acoustic emission signal based on histogram distance. The method comprises the following steps: acquiring an acoustic emission signal; dividing the signal into two intervals with a sliding point k as the demarcation point; obtaining the relative frequency histograms of two adjacent intervals; obtaining histogram distance of the relative frequency histograms of two adjacent intervals; moving the sliding point k to the next element to obtain two new intervals and generating new histograms of the two new intervals and calculating the histogram distance of two new intervals; searching for the point which gives the maximum value of the histogram distances, and the corresponding time to this point is regarded as the onset time.

Abstract: The present invention discloses a method for onset time detection of acoustic emission signals based on histogram distance. The method comprises the following steps: acquiring an acoustic emission signal; dividing the signal into two intervals with a sliding point k as the demarcation point; obtaining the relative frequency histograms of two adjacent intervals; obtaining histogram distance of the relative frequency histograms of two adjacent intervals; moving the sliding point k to the next element to obtain two new intervals and generating new histograms of the two new intervals and calculating the histogram distance of two new intervals; searching for the point which gives the maximum value of the histogram distances, and the corresponding time to this point is regarded as the onset time.

Abstract: The present disclosure provides a system for processing data. A specific implementation is as follows: a control server acquires, based on a preset scheduling strategy, a second puller from the first puller, and a second task execution manager from the first task execution manager; and controls the second puller and the second task execution manager to perform an operation; a second puller acquires data of a to-be-processed message in a message queue; serializes the data of the to-be-processed message to obtain to-be-stored data; stores the to-be-stored data into a database to obtain stored first data; and adds a data state of the first data to the database; and a second task execution manager acquires second data from the database, and executes a task corresponding to the second data; and updates the data state based on a task execution result of the second data.