3results about How to "With detection ability" patented technology

This invention relates to the field of petroleum exploration technology, specifically disclosing an induction logging system and method based on an equivalent antimagnetic flux array. The method includes a transmitting module and a receiving module. The equivalent antimagnetic flux probe device adopts a modular, compartmentalized structure, consisting of multiple independent equivalent antimagnetic flux detection units axially coaxially cascaded and spliced ​​together. An electromagnetic shielding compartment is provided between adjacent equivalent antimagnetic flux detection units. Each equivalent antimagnetic flux detection unit is a three-coil equivalent antimagnetic flux module consisting of a transmitting coil, a receiving coil, and a compensation coil. By employing an array-type, splicable equivalent antimagnetic flux probe device combined with multi-frequency differential detection, the decoupling advantages of equivalent antimagnetic flux are retained, while the layering capability of multi-frequency detection is introduced. This achieves a balance between vertical resolution and radial detection depth, significantly improving the information acquisition capability of the instrument without increasing the well diameter requirement, and enabling "one probe to multiple depths and one measurement to multiple layers" detection capabilities.

The invention aims to provide the method and the device for automatically and accurately identifying the type and the attribute information of the network assets. Firstly, the asset type is identified through active detection, then the flow data of the asset is obtained, the flow feature corresponding to the asset type is extracted, the flow feature is matched with the preset attribute identification rule, and finally the attribute identification result is output, so that the pertinence of identifying attribute information through flow feature matching can be improved; all flows of the assets do not need to be matched; the attribute recognition rule can be added in a self-defined mode, and a condition group formed by multiple conditions and multi-layer condition nesting are allowed to be created, so that the method can be suitable for complex logic judgment; and the identification conditions with different priorities can also be suitable for different identification scenes. The asset information is obtained by analyzing the collected network traffic, so that the influence on the operation of the target network is small, and no additional network traffic is inserted; the network assets protected by the safety equipment can be detected; and long-term historical data accumulation is facilitated, so that the network asset development and change process can be mastered.

This invention relates to the field of game anti-cheating technology, specifically to an AI-driven system for identifying and transmitting images of game violations. The system first aggregates authoritative game data on the server side, calculates the balance deviation score of attack attempts, filters high-risk triggering events, and limits the evidence collection time window and pixel acquisition area. Next, it extracts legitimate semantic summaries from the game engine rendering chain, generates a predictive structure mask, and identifies semantically uninterpretable illegal overlays by comparing pixel-level differences. Finally, it integrates risk-graded transmitted evidence, and the server completes consistency verification through a homogeneous process. This invention does not rely on the appearance characteristics of cheats, significantly reduces computing power and bandwidth consumption, and provides a complete and auditable evidence chain.