A proactive workers' safety risk evaluation framework based on position and posture data fusion

2019 ◽  
Vol 98 ◽  
pp. 275-288 ◽  
Author(s):  
Hainan Chen ◽  
Xiaowei Luo ◽  
Zhuang Zheng ◽  
Jinjing Ke
Author(s):  
Fumin Deng ◽  
Yanjie Li ◽  
Huirong Lin ◽  
Jinrui Miao ◽  
Xuedong Liang

Hazardous waste can cause severe environmental pollution if not disposed of properly, which in turn can seriously affect the sustainable development of the entire ecology and will inevitably bring disaster to companies. However, because of limited available disposal capacity, it is often difficult to safely dispose of hazardous waste, meaning that it must be kept as passive inventory. For the passive inventory of hazardous waste, risk evaluation of safe operation of the inventory is crucial and urgently needs to be resolved. Based on this, this paper focuses on the risk management of hazardous waste inventory of waste-producing companies and proposes a risk evaluation system for safely dealing with hazardous waste inventory, which expands the scope of inventory safety management and provides guidance to companies on developing appropriate measures to ensure hazardous waste inventory safety. First, the risk evaluation index system for hazardous waste inventory is constructed from equipment, management level, nature of hazardous waste and operational aspects. Then, the best worst method (BWM) is employed to calculate the criteria weights and the technique for order performance by similarity to ideal solution (TOPSIS) is employed to rank the alternatives. Finally, risk evaluation on four waste-producing companies was conducted using the developed method. The results show that Case Company 4 has the greatest risk of hazardous waste inventory, which should be reduced by improving storage method and the amount of hazardous waste. It was found that the proposed evaluation system was effective for hazardous waste inventory safety risk assessments and that the designed index system could assist companies improve their hazardous waste inventory management.


Author(s):  
Meisong Wang ◽  
Charith Perera ◽  
Prem Prakash Jayaraman ◽  
Miranda Zhang ◽  
Peter Strazdins ◽  
...  

Internet of Things (IoT) has gained substantial attention recently and play a significant role in smart city application deployments. A number of such smart city applications depend on sensor fusion capabilities in the cloud from diverse data sources. The authors introduce the concept of IoT and present in detail ten different parameters that govern our sensor data fusion evaluation framework. They then evaluate the current state-of-the art in sensor data fusion against our sensor data fusion framework. The authors' main goal is to examine and survey different sensor data fusion research efforts based on our evaluation framework. The major open research issues related to sensor data fusion are also presented.


2020 ◽  
Vol 309 ◽  
pp. 125711 ◽  
Author(s):  
Sandip Patra ◽  
Pritam Ganguly ◽  
Suhrid Ranjan Barik ◽  
Arnab Goon ◽  
Jajati Mandal ◽  
...  
Keyword(s):  

2012 ◽  
Vol 48 ◽  
pp. 430-441 ◽  
Author(s):  
Yongjun Shen ◽  
Elke Hermans ◽  
Tom Brijs ◽  
Geert Wets ◽  
Koen Vanhoof

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