Information tracking system for medium titanium plate production line

An information tracking system of the liquefied petroleum gas industry is important to the government in carbon emissions economics. This research applied an information tracking system to the liquefied petroleum gas industry. It also formulated finding a minimization unexpect LPG quantity (Gap), and auto plot the variation by time of a selected firm using html5 techniques, which unexpect LPG quantity (Gap) was over the predefined threshold. Through a web-structure dynamic tracking system, a manager can easily access the information of unexpect LPG quantity (Gap) firms. Future research suggests expanding this research to physical tank constraints calculation.

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Study of magnetic levitation technique applied to steel plate production line

IEEE Transactions on Magnetics ◽

10.1109/20.908941 ◽

2000 ◽

Vol 36 (5) ◽

pp. 3686-3689 ◽

Cited By ~ 31

Author(s):

T. Nakagawa ◽

M. Hama ◽

T. Furukawa

Keyword(s):

Production Line ◽

Steel Plate ◽

Magnetic Levitation ◽

Plate Production

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Application of RFID in a Flexible Assembly Production Line Based on Tracking Algorithm

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.1037.557 ◽

2014 ◽

Vol 1037 ◽

pp. 557-560

Author(s):

Bing Feng Liu ◽

Gang Li

Keyword(s):

Radio Frequency Identification ◽

Production Line ◽

Production Efficiency ◽

Tracking System ◽

Tracking Algorithm ◽

Filter Model ◽

Flexible Assembly ◽

Frequency Identification ◽

Assembly Production ◽

Flexible Assembly Line

Radio frequency identification (RFID) technology provides a wireless way to detect and recognize objects. By using the RFID reader as a sensor, development of RFID helper object tracking system to track the production situation of a flexible assembly line make tracking application. At the same time, based on the range and without scope of cooperation tracking algorithm, we analysis the system. And in order to achieve the balance of density and cost among the read write device, this paper considers only simple reader and omnidirectional scattering antenna. In order to further improve the production efficiency, we use a particle filter model, in order to further processing tracking result of object, improve tracking precision. We suggest that the tracking system can also predict the operation state of product in assembly production line.

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A new approach to data logging and on-line quality control for an electrolytic tin-plate production line

10.1109/iecon.1989.69709 ◽

2003 ◽

Author(s):

D.F. Garcia ◽

M. Tarrio ◽

G. Ojea

Keyword(s):

Quality Control ◽

Production Line ◽

Data Logging ◽

New Approach ◽

Plate Production ◽

On Line

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Development and Implementation of Aliens (Immigrant) Control and Information Tracking System

International Journal of Research Studies in Computer Science and Engineering ◽

10.20431/2349-4859.0404004 ◽

2017 ◽

Vol 4 (4) ◽

Keyword(s):

Tracking System ◽

Information Tracking

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Intelligent Decision Support for Improving Power Management

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence ◽

10.24963/ijcai.2019/965 ◽

2019 ◽

Author(s):

Yongqing Zheng ◽

Han Yu ◽

Kun Zhang ◽

Yuliang Shi ◽

Cyril Leung ◽

...

Keyword(s):

Decision Support ◽

Demand Response ◽

Tracking System ◽

Electricity Consumption ◽

Short Term ◽

Intelligent Decision ◽

Short Term Load Forecasting ◽

Information Tracking ◽

Implementation Management ◽

Intelligent Decision Support

With the development and adoption of the electricity information tracking system in China, real-time electricity consumption big data have become available to enable artificial intelligence (AI) to help power companies and the urban management departments to make demand side management decisions. We demonstrate the Power Intelligent Decision Support (PIDS) platform, which can generate Orderly Power Utilization (OPU) decision recommendations and perform Demand Response (DR) implementation management based on a short-term load forecasting model. It can also provide different users with query and application functions to facilitate explainable decision support.

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Eye-in-Hand Robotic Gripper Vision Fusion for Object Recognition and Tracking

ASME 2019 28th Conference on Information Storage and Processing Systems ◽

10.1115/isps2019-7496 ◽

2019 ◽

Author(s):

Shih-Wei Liu ◽

Jen-Yuan (James) Chang

Keyword(s):

Object Recognition ◽

Human Resources ◽

Production Line ◽

Tracking System ◽

Target Object ◽

Experimental Result ◽

World Economic Forum ◽

The World ◽

The Future ◽

World Economic

Abstract With the development of Automation industry, a new industrial model has been born, and traditional human resources have gradually been replaced by machines. The World Economic Forum (WEF) pointed out in “The Future of Jobs Report 2018” that the world is experiencing a “workplace revolution”, which means that machine will play a more important role in the future. In response to this situation, in this paper, techniques for object recognition and tracking on a conveyor using eye-in-hand gripper are presented, which are useful in production line for automatic object classification. The eye-in-hand configuration is the most suitable for camera and gripper application because the camera coordinate is the same as the gripper coordinate. The main advantages of eye-in-hand configuration are as follow: (1) occlusion avoidance (2) intuitive teleoperation (3) image from different angles (4) simple calibration. The main difference with eye-on-hand configuration is that it may be out of view sight when the camera is too close to the object. The experimental result is using the eye-in-hand robotic gripper to establish a tracking system to chase the target object. Preliminary results show that the speed of the conveyor can be calculated and the moving distance between the robot and the object is very close after a period of time. It means that the tracking system is successful.

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