scholarly journals An Emergency Measure Completeness Evaluation Method Based on UGC Data

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Hua Zhao ◽  
ShuJia Li ◽  
PeiXin Zhang ◽  
QingTian Zeng

Complete emergency measures are one of the important guarantees for effective emergency response. An evaluation method based on User-Generated Content (UGC) data is proposed to assess the completeness of emergency measures. To implement this method, UGC data comprising emergency needs from the users and emergency plans comprising emergency measures for specific emergency were firstly collected using a crawler program. A feature template was then established to identify relationships between different features, and a Conditional Random Field (CRF) model was used to extract emergency measures from the emergency plan and emergency needs from UGC data. The Siamese network was applied thereafter to compute the similarity between the emergency measures and emergency needs. The missing emergency measures were obtained based on the similarities, and a quantitative method to calculate the completeness was defined. Finally, using province A as a case study, the emergency measure completeness was evaluated and the emergency measures that need to be strengthened and improved were identified.

2020 ◽  
Author(s):  
haiyang liu

<p>Natural disasters will bring a huge threat to the safety of human life and property. When disasters happen, leaders at all levels need to respond in time. Emergency plans can be regarded as the effective guidance of natural disaster emergency responses, and they include the textual descriptions of emergency response processes in terms of natural language. In this paper, we propose an approach to automatically extract emergency response process models from Chinese emergency plans, and can automatically generate appropriate emergency plans. First, the emergency plan is represented as a text tree according to its layout markups and sentence-sequential relations. Then, process model elements, including four-level response condition formulas, executive roles, response tasks, and flow relations, are identified by rule-based approaches. An emergency response process tree is generated from both the text tree and extracted process model elements, and is transformed to an emergency response process that is modeled as business process modeling notation. Finally, when different disasters occur, a new plan is generated according to the training of historical plan database. A large number of experiments in the actual emergency plan show that this method can extract the emergency response process model, and can generate a suitable new plan.</p>


2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Ambalathumpara Raman Soman ◽  
Gopalswamy Sundararaj

In the current industrial scenario there is a serious need for formulating strategies to handle hazardous substances in the safest way. Manufacture, storage, and use of hazardous substances pose a serious risk to industry, people, and the environment. Accidental release of toxic chemicals can lead to emergencies. An emergency response plan (ERP) is inevitable to minimize the adverse effects of such releases. The on-site emergency plan is an integral component of any process safety and risk management system. This paper deals with an on-site emergency response plan for a chlorine manufacturing industry. It was developed on the basis of a previous study on chlorine release and a full scale mock drill has been conducted for testing the plan. Results indicated that properly trained personnel can effectively handle each level of incidents occurring in the process plant. As an extensive guideline to the district level government authorities for off-site emergency planning, risk zone has also been estimated with reference to a chlorine exposure threshold of 3 ppm.


2020 ◽  
pp. 607-612
Author(s):  
Bernard Coûteaux

This paper elaborates on the key solutions offered by De Smet Engineers & Contractors (DSEC) to optimize the efficiency of cane sugar producing and processing facilities. In order to meet customer needs, DSEC offers proprietary predictive models built using the latest versions of specialized software. These models allow factory managers to envision the whole picture of increased operational and capital efficiency before it becomes reality. An integrated energy model and the CAPEX/OPEX evaluation method are discussed as ways to estimate and optimize costs, both for new greenfield projects and revamping of existing factories. The models demonstrate that factory capacities can be successfully increased using equipment that is already available. Special attention is paid to crystallization and centrifugation process simulations and the potential improvement of the global energy balance. One case study shows the transformation of a beet sugar factory into a refinery to process raw cane sugar after beet crop season and the second case shows the integration of a refinery into a cane sugar factory. The primary focus of the article is optimization of the technological process through predictive modelling. DSEC’s suggested solutions, which lead to great improvements in a plant’s efficiency and its ability to obtain very low energy consumption, are discussed.


Author(s):  
Michael C. Medlock

This chapter begins with a discussion of the philosophy and then definition of the RITE method. It then delves into the benefits of this method and provides practical notes on running RITE tests effectively. The chapter concludes with an overview of the original case study behind the 2002 article documenting this method.


Author(s):  
Rika Swanzen ◽  
Gert Jonker

The experiences from a case study are evaluated against the aspects such as emergency response to vulnerable populations and other sources from the literature to serve as guidelines for the management of an epidemic in a child and youth care centre (CYCC). To help understand the effects of the epidemic on the centre, this article describes experiences in terms of the meeting of needs. A discussion of the following are part of the article: • A reflection will be provided on the observed stages the children and child and youth care workers (CYCWs) went through during 177 days of a national lockdown; • Indications of caregiver burnout; • Experiences around the meeting of children’s needs through the lens of child and youth care (CYC) theory; and • Proposed areas needing attention in mitigating risks. Some lessons learnt from the daily routine established to manage the lockdown regulations, sometimes experienced as nonsensical, are shared. From these reflections, questions for research are provided from a practice-based evidence approach, mainly aimed at determining the readiness of a CYCC to manage a state of disaster, while needing to focus on meeting children’s needs.


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