The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Une allocation efficace des ressources d’urgence est essentielle pour garantir une élimination réussie des situations d’urgence, et elle est devenue un axe de recherche dans le domaine de la gestion des urgences. Les journaux d'événements d'urgence sont accumulés dans les systèmes modernes de gestion des urgences et peuvent être analysés pour soutenir une allocation efficace des ressources. Cet article propose une nouvelle approche pour une allocation efficace des ressources d'urgence en exploitant les journaux d'événements d'urgence. Plus spécifiquement, un journal d'événements d'urgence avec divers attributs, par exemple le nom de la tâche d'urgence, le type de ressource d'urgence (réutilisables et consommables), la quantité de ressource requise et les horodatages, est d'abord formalisé. Ensuite, un nouvel algorithme est présenté pour découvrir des modèles de processus d'intervention d'urgence, représentés comme une extension du réseau de Petri avec des éléments de ressources et de temps, à partir de journaux d'événements d'urgence. Ensuite, sur la base des modèles de processus d'intervention d'urgence découverts, les exigences minimales en ressources pour les ressources réutilisables et consommables sont obtenues, ainsi que deux stratégies d'allocation de ressources, à savoir la stratégie du temps d'exécution le plus court (SET) et la stratégie de consommation de ressources minimale (LRC). sont proposés pour soutenir une prise de décision efficace en matière d’allocation des ressources d’urgence. Enfin, une étude de cas d’urgence relative à l’explosion d’un réservoir de chlore est utilisée pour démontrer l’applicabilité et l’efficacité de l’approche d’allocation des ressources proposée.
Huiling LI
Shandong University of Technology
Cong LIU
Shandong University of Technology
Qingtian ZENG
Shandong University of Science and Technology
Hua HE
Shandong University of Science and Technology
Chongguang REN
Shandong University of Technology
Lei WANG
Shandong University of Technology
Feng CHENG
Southwest Jiaotong University
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Huiling LI, Cong LIU, Qingtian ZENG, Hua HE, Chongguang REN, Lei WANG, Feng CHENG, "Mining Emergency Event Logs to Support Resource Allocation" in IEICE TRANSACTIONS on Information,
vol. E104-D, no. 10, pp. 1651-1660, October 2021, doi: 10.1587/transinf.2021EDP7029.
Abstract: Effective emergency resource allocation is essential to guarantee a successful emergency disposal, and it has become a research focus in the area of emergency management. Emergency event logs are accumulated in modern emergency management systems and can be analyzed to support effective resource allocation. This paper proposes a novel approach for efficient emergency resource allocation by mining emergency event logs. More specifically, an emergency event log with various attributes, e.g., emergency task name, emergency resource type (reusable and consumable ones), required resource amount, and timestamps, is first formalized. Then, a novel algorithm is presented to discover emergency response process models, represented as an extension of Petri net with resource and time elements, from emergency event logs. Next, based on the discovered emergency response process models, the minimum resource requirements for both reusable and consumable resources are obtained, and two resource allocation strategies, i.e., the Shortest Execution Time (SET) strategy and the Least Resource Consumption (LRC) strategy, are proposed to support efficient emergency resource allocation decision-making. Finally, a chlorine tank explosion emergency case study is used to demonstrate the applicability and effectiveness of the proposed resource allocation approach.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2021EDP7029/_p
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@ARTICLE{e104-d_10_1651,
author={Huiling LI, Cong LIU, Qingtian ZENG, Hua HE, Chongguang REN, Lei WANG, Feng CHENG, },
journal={IEICE TRANSACTIONS on Information},
title={Mining Emergency Event Logs to Support Resource Allocation},
year={2021},
volume={E104-D},
number={10},
pages={1651-1660},
abstract={Effective emergency resource allocation is essential to guarantee a successful emergency disposal, and it has become a research focus in the area of emergency management. Emergency event logs are accumulated in modern emergency management systems and can be analyzed to support effective resource allocation. This paper proposes a novel approach for efficient emergency resource allocation by mining emergency event logs. More specifically, an emergency event log with various attributes, e.g., emergency task name, emergency resource type (reusable and consumable ones), required resource amount, and timestamps, is first formalized. Then, a novel algorithm is presented to discover emergency response process models, represented as an extension of Petri net with resource and time elements, from emergency event logs. Next, based on the discovered emergency response process models, the minimum resource requirements for both reusable and consumable resources are obtained, and two resource allocation strategies, i.e., the Shortest Execution Time (SET) strategy and the Least Resource Consumption (LRC) strategy, are proposed to support efficient emergency resource allocation decision-making. Finally, a chlorine tank explosion emergency case study is used to demonstrate the applicability and effectiveness of the proposed resource allocation approach.},
keywords={},
doi={10.1587/transinf.2021EDP7029},
ISSN={1745-1361},
month={October},}
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TY - JOUR
TI - Mining Emergency Event Logs to Support Resource Allocation
T2 - IEICE TRANSACTIONS on Information
SP - 1651
EP - 1660
AU - Huiling LI
AU - Cong LIU
AU - Qingtian ZENG
AU - Hua HE
AU - Chongguang REN
AU - Lei WANG
AU - Feng CHENG
PY - 2021
DO - 10.1587/transinf.2021EDP7029
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E104-D
IS - 10
JA - IEICE TRANSACTIONS on Information
Y1 - October 2021
AB - Effective emergency resource allocation is essential to guarantee a successful emergency disposal, and it has become a research focus in the area of emergency management. Emergency event logs are accumulated in modern emergency management systems and can be analyzed to support effective resource allocation. This paper proposes a novel approach for efficient emergency resource allocation by mining emergency event logs. More specifically, an emergency event log with various attributes, e.g., emergency task name, emergency resource type (reusable and consumable ones), required resource amount, and timestamps, is first formalized. Then, a novel algorithm is presented to discover emergency response process models, represented as an extension of Petri net with resource and time elements, from emergency event logs. Next, based on the discovered emergency response process models, the minimum resource requirements for both reusable and consumable resources are obtained, and two resource allocation strategies, i.e., the Shortest Execution Time (SET) strategy and the Least Resource Consumption (LRC) strategy, are proposed to support efficient emergency resource allocation decision-making. Finally, a chlorine tank explosion emergency case study is used to demonstrate the applicability and effectiveness of the proposed resource allocation approach.
ER -