6results about How to "Accurate grouping" patented technology

The invention discloses a Neper-DEM-based apparent crystal rock modeling and calculation method with a bedding structure, relates to the field of numerical calculation of a tunnel engineering technology, and solves the problem that a simulation and calculation method for apparent crystal rocks with transverse isotropy such as gneiss and granite gneiss is lacked in the prior art. The method comprises the following steps: constructing a polycrystal structure with crystal characteristics in Neper, and generating a geometric parameter text of crystal grains from the polycrystal structure; constructing a discrete element rock sample model in the DEM; performing a numerical simulation test on the discrete element rock sample model to obtain a stress-strain curve and a sample failure mode, wherein the numerical simulation is realized by adopting a Brazilian splitting test and a triaxial test; according to a numerical simulation result, discrete element sample calculation parameters are calibrated, and the effectiveness of the modeling and calculation method of the discrete element rock sample model is verified; according to the modeling method, construction and assignment of the crystal structure and the bedding structure are achieved at the same time, so that the rock structure is closer to a real rock structure.

The present application relates to the technical field of artificial intelligence and federated machine learning, and particularly relates to an asynchronous federated learning aggregation method and system based on clustering cache. The present application clusters clients by intermediate features of the clients. In global aggregation, intra-cluster aggregation is firstly performed, and then global aggregation is performed based on client clusters. The client clusters are dynamically updated. In intra-cluster aggregation, an active set and a slow set are introduced to realize an asynchronous participation mechanism of intra-cluster aggregation. Weighted aggregation of the active set and the slow set solves the problem of system heterogeneity. The present application solves the defect of insufficient timeliness of existing federated learning methods in a data heterogeneous scene, and guarantees the timeliness and model training accuracy of federated learning in the data heterogeneous scene.

The embodiments of this specification provide a tag processing method, device, electronic device and storage medium, wherein the method includes: in response to a user's edit request operation for a tag rule of a first tag, displaying an editing page of the tag rule; wherein the first tag is used to represent a grouping of user sessions, the tag rule is used to filter the user's sessions, and different tags correspond to different session groups based on different tag rules; obtaining at least one tag rule of the first tag edited by the user in the editing page; wherein a tag rule includes a rule action and at least one rule condition, and when a session meets some or all of the rule conditions, the rule action is executed to filter the user's session to obtain a session corresponding to the first tag; according to each tag rule, determining and displaying the session group corresponding to the first tag. Through this embodiment, a large number of sessions can be managed, and the efficiency of users finding required sessions can be improved.

The invention provides a grouping method and system for mountain terrain triangular facets, and the method comprises the steps: carrying out the dividing of the geometric information of Delaunay triangular facets based on the terrain, obtaining the included angle between each triangular facet of the mountain terrain and the horizontal plane, and forming a first included angle set; screening the included angles in the first included angle set according to a preset included angle threshold to obtain a second included angle set; and grouping the included angles in the second included angle set to obtain groups to which the included angles in the second included angle set belong. According to the technical scheme provided by the invention, the mountain terrain triangular surfaces can be accurately grouped, and support is provided for subsequent construction of a photovoltaic power station.

Acupuncture instrument assembling auxiliary equipment comprises a conveying belt and an intercepting device fixed to the conveying belt, the intercepting device comprises a base, the right side of the base is rotationally connected with a lead screw, the lead screw is connected with a driving assembly, the middle of the base is connected with a set of driving rods, the driving assembly sequentially drives the set of driving rods, and each driving rod is rotationally connected with a gear. The two sides of each gear are meshed with the racks on the base and the racks on the middle rods at the same time, each middle rod is slidably connected with the base, the left side of the base is slidably connected with a driving plate, the driving plate is slidably connected with a set of right-angle plates, the middle rod on the rearmost side is slidably connected with the driving plate, and the middle rod on the front side is slidably connected with the right-angle plates. According to the device, the grouping pitch changing rhythm can be adjusted according to the rhythm of a production line, and grouping pitch changing is accurate.

The invention discloses a risk level assessment method and device for an equipment security event, a medium and a terminal, relates to the technical field of equipment operation and maintenance, and mainly aims to solve the problem that the overall risk identification capability is insufficient due to the fact that an existing method only focuses on risk identification in a single link in an optical transmission process. Comprising the following steps: acquiring alarm information carried by a target equipment security event, and generating an alarm feature vector; deducing a knowledge graph based on pre-constructed equipment security event features, and performing enhancement processing on the alarm feature vector to obtain an enhanced alarm feature vector; and based on the equipment security event risk level assessment model after model training is completed, risk level assessment operation is performed on the target equipment security event according to the enhanced alarm feature vector, a risk level assessment result is obtained, and equipment operation is controlled according to the risk level assessment result.