Research on Function Real-Time of Substation Automation System Based on IEC61850

2013 ◽  
Vol 765-767 ◽  
pp. 2021-2025
Author(s):  
Xian Pei Wang ◽  
Qi Lin Zhang ◽  
Yong Biao Zhao
Keyword(s):  
Real Time ◽  
Network Structure ◽  
Processing Speed ◽  
Simulation Models ◽  
Automation System ◽  
Time Performance ◽  
Performance Of Systems ◽  
Communication Events ◽  
Distribution Mode ◽  
Substation Automation

The function real-time of substation automation system based on IEC61850 depends on the distribution mode of logical nodes, the processing speed of logical nodes and the communication delay between logical nodes.The realization principles of functions free distribution are introduced based on IEC61850, take bus protection function and distributed interlock function examples, the functions are deposed into the connection diagram of logical nodes and their communication events are introduced in great detail. The simulation models of D2 substation which has unified network or two-tier network are established with OPNET. The communication events of bus bar protection function and distributed interlock function are simulated and analyzed based on this mode. The rationality of distribution mode of systems functions is quantitative analyzed which provide guidance to improve the real-time performance of systems functions and network structure.

The Implement of a Linux Database Data Processing Mechanism Based on Cache

2014 ◽  
Vol 989-994 ◽  
pp. 4447-4451
Author(s):  
Yong Jun Zhang ◽  
Chun Hui Li
Keyword(s):  
Data Processing ◽  
Real Time ◽  
Processing Speed ◽  
Simple Structure ◽  
Equipment Management ◽  
The Real ◽  
Time Performance ◽  
Data Process ◽  
Processing Mechanism ◽  
Easy Operation

Although the simple structure and easy operation of completing data process depending only on the real-time request of database, the database call time is far longer than the lookup time. If the database is called too frequently, the processing speed will surely be cut down and the real-time performance will be degraded. Based on the situation, this paper will put forward one method, which combined cache with database can improve the performance of the system in the main controller of integrated security system of equipment management.

scholarly journals Ship Target Detection Based on Improved YOLO Network

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Hong Huang ◽  
Dechao Sun ◽  
Renfang Wang ◽  
Chun Zhu ◽  
Bangquan Liu
Keyword(s):  
Real Time ◽  
Target Detection ◽  
Network Structure ◽  
Small Volume ◽  
Recall Rate ◽  
New Method ◽  
Convolution Operation ◽  
Time Performance ◽  
Guided Filtering ◽  
Bounding Boxes

Ship target detection is an important guarantee for the safe passage of ships on the river. However, the ship image in the river is difficult to recognize due to the factors such as clouds, buildings on the bank, and small volume. In order to improve the accuracy of ship target detection and the robustness of the system, we improve YOLOv3 network and present a new method, called Ship-YOLOv3. Firstly, we preprocess the inputting image through guided filtering and gray enhancement. Secondly, we use k-means++ clustering on the dimensions of bounding boxes to get good priors for our model. Then, we change the YOLOv3 network structure by reducing part of convolution operation and adding the jump join mechanism to decrease feature redundancy. Finally, we load the weight of PASCAL VOC dataset into the model and train it on the ship dataset. The experiment shows that the proposed method can accelerate the convergence speed of the network, compared with the existing YOLO algorithm. On the premise of ensuring real-time performance, the precision of ship identification is improved by 12.5%, and the recall rate is increased by 11.5%.

scholarly journals High Real-Time Design of Digital Pulse Compression Based on FPGA

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Xiujie Qu ◽  
Cuimei Ma ◽  
Shixin Zhang ◽  
Sitong Lian
Keyword(s):  
Real Time ◽  
Processing Speed ◽  
Pulse Compression ◽  
Fourier Transforms ◽  
Experimental Result ◽  
Parallel Structure ◽  
Time Performance ◽  
Fft Processor ◽  
Digital Pulse ◽  
Floating Point Computation

Because of the poor real-time performance of in-place fast Fourier transforms, a reconfigurable radix-4 FFT processor is studied and designed, which is based on decimation-in-time and single floating-point computation. The proposed method adopts “pipeline and parallel” structure for accessing multiple memories to improve the FFT processing speed, and then it is applied to digital pulse compression. The experimental result shows that the proposed FFT based on radix-4 computation can implement digital pulse compression rapidly under no adding hardware resources. The proposed method can be also applied to other radix FFTs.

Design of the Inverted Brake in Substation Automation System

2013 ◽  
Vol 346 ◽  
pp. 89-93
Author(s):  
Hong Wang
Keyword(s):  
Real Time ◽  
Interface Design ◽  
Program Design ◽  
Control Function ◽  
Switching Control ◽  
Automation System ◽  
Centralized Control ◽  
Real Time Monitoring ◽  
Control Operation ◽  
Substation Automation

This paper provides an overview of the program design of WINCC 6 interface design and Step7, for real-time monitoring interface 500KV centralized control station, station information and convenient control operation personnel in the room can obtain the distance, 500000 volt side switching control function.

Real-time Performance Monitoring of MPC Based on Covariance Index Prediction

2014 ◽  
Vol 39 (5) ◽  
pp. 658-663 ◽  
Author(s):  
Xue-Min TIAN ◽  
Ya-Jie SHI ◽  
Yu-Ping CAO
Keyword(s):  
Real Time ◽  
Performance Monitoring ◽  
Time Performance

Single Depth View Based Real-Time Reconstruction of Hand-Object Interactions

2021 ◽  
Vol 40 (3) ◽  
pp. 1-12
Author(s):  
Hao Zhang ◽  
Yuxiao Zhou ◽  
Yifei Tian ◽  
Jun-Hai Yong ◽  
Feng Xu
Keyword(s):  
Real Time ◽  
Synthetic Data ◽  
Real Data ◽  
Depth Image ◽  
Real Time System ◽  
The Real ◽  
Time Performance ◽  
Contact Constraint ◽  
Object Shapes ◽  
Object Interactions

Reconstructing hand-object interactions is a challenging task due to strong occlusions and complex motions. This article proposes a real-time system that uses a single depth stream to simultaneously reconstruct hand poses, object shape, and rigid/non-rigid motions. To achieve this, we first train a joint learning network to segment the hand and object in a depth image, and to predict the 3D keypoints of the hand. With most layers shared by the two tasks, computation cost is saved for the real-time performance. A hybrid dataset is constructed here to train the network with real data (to learn real-world distributions) and synthetic data (to cover variations of objects, motions, and viewpoints). Next, the depth of the two targets and the keypoints are used in a uniform optimization to reconstruct the interacting motions. Benefitting from a novel tangential contact constraint, the system not only solves the remaining ambiguities but also keeps the real-time performance. Experiments show that our system handles different hand and object shapes, various interactive motions, and moving cameras.

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