Abstract: The present invention discloses a cutting device, where the cutting device includes a cutting head, a main shaft system, and at least four eccentric shaft sleeves; the cutting head is provided with a frame main body and at least four shaft holes; the main shaft system includes a set of rollers, a set of bearing box assemblies, and locking screw assemblies; the eccentric shaft sleeves can be mounted in the shaft holes in an axial sliding manner, a bearing box is disposed inside each eccentric shaft sleeve; one support arm is disposed on each eccentric shaft sleeve; limiting mechanisms are disposed on the frame main body, and are combined with the shaft holes; each limiting mechanism includes at least two limiting clamping seats and fasteners; the support arm and the limiting clamping seat can form a limiting fit after the eccentric shaft sleeve is inserted into the corresponding shaft hole.

Abstract: The present invention discloses a cutting device, where the cutting device includes a cutting head, a main shaft system, four eccentric shaft sleeves and two shaft sleeves; the cutting head is provided with a frame main body and six shaft holes; the main shaft system includes three rollers, three sets of bearing box assemblies, and locking screw assemblies; the four eccentric shaft sleeves can be mounted in the four shaft holes in an axial sliding manner and are used for mounting two of the three rollers; bearing boxes are disposed inside the eccentric shaft sleeves; support arms are disposed on the eccentric shaft sleeves; limiting mechanisms are disposed on the frame main body; each limiting mechanism includes at least two limiting clamping seats and fasteners.

Abstract: Disclosed are a method and apparatus for detecting traffic anomaly, a device and a medium. The method includes: performing a network topology division operation on a network topology architecture to be detected, so as to obtain a plurality of security domains; acquiring a regional full traffic in each of the plurality of security domains, determining a traffic characteristic time series on the basis of regional full traffics, and analyzing the traffic characteristic time series to obtain a new traffic characteristic time series; constructing a traffic anomaly detection model, and performing distributed anomaly detection on the traffic characteristic time series by the traffic anomaly detection model, so as to obtain a detection result; and sending the detection result to an information processing center, so that the information processing center obtains anomalous asset devices and anomalous information according to the detection result.