Zhejiang University

Hangzhou Yuanjian Information Technology Co., Ltd

Hainan Tongling Technology Co., Ltd

Yunfeng Yan

Donglian Qi

Guangxin Zhi

Xiaotian Chen

Xiangyu Wen

Gang Chen

Qi Li

Xing Huang

Bingxiao Mei

Zezhou Wang

Rui Han

Dawang Fu

Xueqi Wang

Meilin Chen

Yulin Chen

Xianbo Wang

Haoyuan Jin

Shenjun Weng

A mobile laser denial defense system is provided. A camera is in communication connection with an image processing device and a control device, and is configured for real-time monitoring and target identification; a laser is fixed on a pan/tilt head and is connected to a laser host by a telescopic optical fiber, where the laser is in communication connection with the control device; a cooling system is connected to the laser and is configured to cool and dissipate heat from the laser; a control device is connected to a camera and the laser and configured to identify a target and control the laser to perform laser strikes, where the control device is also connected to the cooling system to monitor a temperature state of the cooling system in real time; and an automatic cruise and obstacle avoidance system is integrated in a mobile base.

Mobile laser denial defense system

A method and an apparatus for automatically recognizing an unmanned aerial vehicle, an electronic device, and a computer medium are provided. A specific implementation of the method includes: in response to determining that a radio detection device detects a radio signal, preprocessing the radio signal to generate preprocessed radio spectrum data; extracting radio signal features in the preprocessed radio spectrum data; inputting the radio signal features into a pre-trained unmanned aerial vehicle signal recognition model to obtain an unmanned aerial vehicle signal recognition result; in response to determining that the unmanned aerial vehicle signal recognition result represents an unmanned aerial vehicle signal, controlling a high-definition camera apparatus associated with the radio detection device to photograph an environmental video of a surrounding environment at a first time in real time; and generating unmanned aerial vehicle detection information corresponding to the first time according to a three-dimensional feature information group.

Method and apparatus for automatically recognizing unmanned aerial vehicle, electronic device, and computer medium

A microgrid self-triggering control method and system for resisting FDI attacks is provided. The method includes the following steps: S: adopting primary control based on droop control for a microgrid; S: designing a secondary control strategy of the microgrid, where the secondary control strategy includes frequency recovery and fair distribution of active power; and S: designing a microgrid distributed self-triggering control method of a hash encryption method after considering the condition that the FDI attacks are injected into a secondary control communication link, so as to resist false malicious data in the microgrid and achieve secondary control. According to the microgrid self-triggering control method and system, a distributed secondary control target of the microgrid is achieved even under the FDI attacks, the injected malicious data can be quickly detected and eliminated, and the distributed secondary control communication network of the microgrid can be protected.

Microgrid self-triggering control method and system for resisting FDI attacks

A fully distributed island micro-grid attack elasticity control system and method are provided. The method includes following specific steps: collecting basic information of a local AC micro-grid bus of a distributed power generation unit and basic information of a neighbor distributed power generation unit connected through a directed communication topology; predicting, based on a dynamic equation of the distributed power generation unit, a sequence of states thereof within a set period of time, namely, the predicted sequence of states; judging whether a system is under attack according to a comparison result of the predicted sequence of states and a real-time state sampling value of a micro-grid, to obtain a sequence of optimal auxiliary control inputs u*; and calculating an optimal angular frequency reference value ω* at the next time point according to the sequence of optimal auxiliary control inputs u*.

Fully distributed island micro-grid attack elasticity control system and method

A multi-object tracking method based on authenticity hierarchizing and occlusion recovery relates to the technical field of multi-object tracking for security management and control of complex scenes. The method includes the following steps: image acquisition, object detection, authenticity hierarchizing, hierarchical association and outputting tracks. The multi-object tracking method is helpful to solve the long-term puzzling occlusion problem in the field of multi-object tracking, the constructed new algorithm framework can achieve an advanced tracking performance, improve the adaptability of the method to complex environments, and adapt to more difficult video surveillance security control tasks.

Multi-object tracking method based on authenticity hierarchizing and occlusion recovery

A method for segmenting a power line image in real time based on self-supervised learning includes: inputting an input power line sample image and power line sample image mask set for the same batch of images into a region growing algorithm to obtain a single power line sub-image and single power line mask set; randomly extracting at least one single power line image pair for combination, and combining the single power line image pair with a random background picture to generate a power line random background fusion image and power line random background mask set; and carrying out random non-repetitive region growing to obtain image inpainting regions, forming a segmentation mask with the image inpainting regions, obtaining power line segmentation images through an image inpainting algorithm, inputting the power line segmentation images into a power line real-time segmentation network for training, and carrying out predicted segmentation.

Power line image real-time segmentation method based on self-supervised learning

A method and a system for monitoring GIS instrument sulfur hexafluoride data based on edge computing are provided. The method includes the following specific steps: acquiring an instrument image; preprocessing the instrument image based on a generative adversarial network to obtain a first image; establishing a keypoint detection model to perform instrument reading on the first image to obtain reading data; and sending the reading data to a power supply system scheduling background, storing the data and performing early warning operation according to the reading data. The method and the system achieve the uninterrupted acquisition, analysis and processing, information transmission and information management of the real-time information of the GIS combined switch density meter, and develop a GIS instrument SFdata intelligent monitoring terminal with functions such as real-time analog information measurement and digitization, digital information transmission and display, and early warning signal reminding and reviewing.

Method and system for monitoring GIS instrument sulfur hexafluoride data based on edge computing

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Hangzhou, China

Yunfeng Yan