Self-powered Pumping Switched TENG Enabled Real-time Wireless Metal Tin Height and Position Recognition and Counting for Production Line Management

Nano Energy ◽  
2021 ◽  
pp. 106544
Author(s):  
Jinkai Chen ◽  
Ziyu Liao ◽  
Yun Wu ◽  
Hao Zhou ◽  
Weipeng Xuan ◽  
...  
Keyword(s):  
Real Time ◽  
Production Line ◽  
Self Powered ◽  
Line Management

Real time shop floor monitoring system for a better production line management

2007 ◽  
Author(s):  
Siva Kumar a/l Subramaniam ◽  
Siti Huzaimah binti Husin ◽  
Yusmarnita binti Yusop ◽  
Abdul Hamid bin Hamidon
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Production Line ◽  
Shop Floor ◽  
Line Management

The Study and Application of the Nitrile Gloves’ Production Line’s Online Measurement

2015 ◽  
Vol 727-728 ◽  
pp. 804-808
Author(s):  
Jian Jun Cai ◽  
Jian Bing Han ◽  
Su Qin Qu
Keyword(s):  
Temperature Measurement ◽  
Real Time ◽  
Temperature Sensor ◽  
Production Line ◽  
Moving Objects ◽  
Mold Temperature ◽  
Configuration Software ◽  
Online Measurement ◽  
Line Process ◽  
Tracking Technology

In order to solve the problem of the hand module’s online temperature measurement in Nitrile glove production line process, we have developed a set of moving objects or device used for online temperature measurement. The device is mounted infrared temperature sensor, by using PLC-controlled synchronous tracking technology it can track the hand module in the production line, so it can ensure the infrared temperature sensor and hand module synchronously measure its temperature correctly. By using configuration software kingview, we have developed mold temperature monitoring online measurement interface, real-time monitoring of the mold temperature opponents. After analysis of experimental results we concluded that the device work stable, acquisition of temperature reliably, so it has a promotional value.

Flexible High‐Resolution Triboelectric Sensor Array Based on Patterned Laser‐Induced Graphene for Self‐Powered Real‐Time Tactile Sensing

2021 ◽  
pp. 2100709 ◽  
Author(s):  
Zhengguang Yan ◽  
Liangliang Wang ◽  
Yifan Xia ◽  
Rendong Qiu ◽  
Wenquan Liu ◽  
...  
Keyword(s):  
High Resolution ◽  
Real Time ◽  
Sensor Array ◽  
Tactile Sensing ◽  
Self Powered

scholarly journals Light-Weight, Self-Powered Sensor Based on Triboelectric Nanogenerator for Big Data Analytics in Sports

Electronics ◽  
2021 ◽  
Vol 10 (19) ◽  
pp. 2322
Author(s):  
Xiaofei Ma ◽  
Xuan Liu ◽  
Xinxing Li ◽  
Yunfei Ma
Keyword(s):  
Big Data ◽  
Real Time ◽  
Data Analytics ◽  
Mechanical Energy ◽  
Rapid Development ◽  
Big Data Analytics ◽  
Triboelectric Nanogenerator ◽  
Light Weight ◽  
Table Tennis ◽  
Self Powered

With the rapid development of the Internet of Things (IoTs), big data analytics has been widely used in the sport field. In this paper, a light-weight, self-powered sensor based on a triboelectric nanogenerator for big data analytics in sports has been demonstrated. The weight of each sensing unit is ~0.4 g. The friction material consists of polyaniline (PANI) and polytetrafluoroethylene (PTFE). Based on the triboelectric nanogenerator (TENG), the device can convert small amounts of mechanical energy into the electrical signal, which contains information about the hitting position and hitting velocity of table tennis balls. By collecting data from daily table tennis training in real time, the personalized training program can be adjusted. A practical application has been exhibited for collecting table tennis information in real time and, according to these data, coaches can develop personalized training for an amateur to enhance the ability of hand control, which can improve their table tennis skills. This work opens up a new direction in intelligent athletic facilities and big data analytics.

Self-Powered Force Sensor Based on Thinned Bulk PZT for Real-Time Cutaneous Activities Monitoring

2018 ◽  
Vol 39 (8) ◽  
pp. 1226-1229 ◽  
Author(s):  
Zhiran Yi ◽  
Hanjia Yang ◽  
Yingwei Tian ◽  
Xiaoxue Dong ◽  
Jingquan Liu ◽  
...  
Keyword(s):  
Real Time ◽  
Force Sensor ◽  
Self Powered

scholarly journals Implementation of Digital Twin for Engine Block Manufacturing Processes

2020 ◽  
Vol 10 (18) ◽  
pp. 6578
Author(s):  
Roman Bambura ◽  
Marek Šolc ◽  
Miroslav Dado ◽  
Luboš Kotek
Keyword(s):  
Real Time ◽  
Production Line ◽  
Manufacturing Industry ◽  
Real Life ◽  
Engine Block ◽  
Manufacturing Processes ◽  
Production Plant ◽  
Implementation Framework ◽  
Digital Twin ◽  
Programmable Logic Control

The digital twin (DT) is undergoing an increase in interest from both an academic and industrial perspective. Although many authors proposed and described various frameworks for DT implementation in the manufacturing industry context, there is an absence of real-life implementation studies reported in the available literature. The main aim of this paper is to demonstrate feasibility of the DT implementation under real conditions of a production plant that is specializing in manufacturing of the aluminum components for the automotive industry. The implementation framework of the DT for engine block manufacturing processes consists of three layers: physical layer, virtual layer and information-processing layer. A simulation model was created using the Tecnomatix Plant Simulation (TPS) software. In order to obtain real-time status data of the production line, programmable logic control (PLC) sensors were used for raw data acquisition. To increase production line productivity, the algorithm for bottlenecks detection was developed and implemented into the DT. Despite the fact that the implementation process is still under development and only partial results are presented in this paper, the DT seems to be a prospective real-time optimization tool for the industrial partner.

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