Emergency Command Research Articles

Women living in the region under an emergency command post are experiencing delays in reaching health facilities: a multi-center cross-sectional study

IntroductionThe time between seeking emergency care and receiving the first healthcare service is referred to as delays in reaching health facilities. Delay in reaching health facilities had three main sub-themes in different studies. These include (i). Availability of transportation and infrastructure, (ii). Distance from health facilities and (iii). Lack of finance for transportation. Although there are plenty of findings about maternal delays in reaching health facilities, studies do not address the delay situation of women in conflict zones all over the world. In Ethiopia, specifically, we saw women delayed in healthcare service due to restricted movement and closure of roads, even for ambulances, at night time. MethodsA multi-center cross-sectional study was conducted among mothers attending public health facilities in the south Gondar zone, Ethiopia from September 01/2023 to April 30/2024. The data was collected by four BSc degree-holder midwives, using structured questionnaires after training was given for a day in each hospital. A pretest using 5% of the sample size was conducted. Descriptive statistics, and multivariable logistic regression analyses were used to identify factors associated with delays in reaching health facilities. Variables having p-value ≤ 0.2 in the bi-variable analysis were fitted into multiple logistic regression models.Result The prevalence of delay in reaching health facilities among women who are living in the region of emergency command post was 54.9% CI (42.04-59.87%). Living in rural areas, non-availability of public transport during the armed conflict, labor onset at nighttime, road closures by the armed forces, and non-availability of ambulances were the factors that contributed to the delay during the emergency command post. ConclusionThe magnitude of delay in reaching health facilities among women who are living in the region of emergency command post was high.

Enhancing emergency decision-making with knowledge graphs and large language models

Emergency management urgently requires comprehensive knowledge while having a high possibility to go beyond individuals’ cognitive scope. Therefore, artificial intelligence(AI) supported decision-making under that circumstance is of vital importance. Recent emerging large language models (LLM) provide a new direction for enhancing targeted machine intelligence. However, the utilization of LLM directly would inevitably introduce unreliable output for its inherent issue of hallucination and poor reasoning skills. In this work, we develop a system called Enhancing Emergency decision-making with Knowledge Graph and LLM (E-KELL), which provides evidence-based decision-making in various emergency stages. The study constructs a structured emergency knowledge graph and guides LLMs to reason over it via a prompt chain. In real-world evaluations, E-KELL demonstrates significant improvement over baseline models in various emergency response scenarios, as rated by emergency commanders and firefighters. This work introduces a novel approach to applying LLMs to enhance emergency decision-making.

Structuring and Recommendations for Research on the Construction of Intelligent Multi-Industry and Multihazard Emergency Planning Systems

During production and operation, enterprises are faced with occurrences of production accidents. One of the prerequisites for enterprises to achieve sustainable development is building an intelligent emergency command platform. To establish a scientific and advanced emergency management information system and address the challenges related to managing emergency plans to ensure production safety, such as ambiguous roles and responsibilities, inefficient application processes, independent resources, and slow responses by enterprises with multiple types of operations and disasters, an intelligent emergency command platform was built for multiple types of operations and disasters, and this platform was extended to include rescue steps. The structure and digital management of emergency plans under multiple coupled disasters and multipoint cogeneration were determined. Similar emergency plans were automatically recommended by crawler technology and an SVM algorithm based on a public information data lake, and the effectiveness of the plans was evaluated via a fuzzy analytic hierarchy process to promote the preparation of more efficient and scientific emergency plans. Finally, the analysis of pipeline leakage and emergency drill scenarios proved that the system is scientific and reliable. The results are of great significance for improving the deep integration of modern emergency-related information technology and emergency management businesses, promoting institutional and mechanical innovation, to provide a reference for other multibusiness enterprises, wchih can also be integrated into methods for urban safety and rescue.

Rapid determination of source parameters of the M6.2 Jishishan earthquake in Gansu Province and its application in emergency response

In this study, we swiftly determined the focal parameters (focal mechanism, seismic imaging process, magnitude) of the Jishishan earthquake, leveraging a solved fault model to assess the intensity field and casualties promptly. The investigation began by retrieving the source mechanism through the P-wave initial motion and W-phase method. This enabled us to chart the spatial and temporal distribution of energy release in the source area via the back-projection technique. Following this, we estimated the earthquake's intensity field by merging the source inversion findings with the ground motion prediction equation. This analysis facilitated the evaluation of earthquake casualties, utilizing the theoretical intensity field and a casualty assessment model. Our findings indicate that the fault type is a thrust fault, characterized by a unilateral rupture in the direction of NW, with a rupture length spanning approximately 10–15 ​km and a duration ranging between 8 and 10 ​s. The earthquake's magnitude varied from M 5.9 to M 6.2. The demarcated high-intensity areas, as per our intensity assessment, align closely with the actual survey results. Furthermore, the predicted total casualties and identified critical rescue zones closely match the real-world casualty figures. These insights offer crucial technical support for governmental emergency command and rescue operations.

Scenario-based assessment of emergency management of urban infectious disease outbreaks.

Infectious diseases pose a severe threat to human health and are accompanied by significant economic losses. Studies of urban outbreaks of infectious diseases are diverse. However, previous studies have neglected the identification of critical events and the evaluation of scenario-based modeling of urban infectious disease outbreak emergency management mechanisms. In this paper, we aim to conduct an empirical analysis and scenario extrapolation using a questionnaire survey of 18 experts, based on the CIA-ISM method and scenario theory, to identify the key factors influencing urban infectious disease outbreaks. Subsequently, we evaluate the effectiveness of urban infectious disease outbreak emergency management mechanisms. Finally, we compare and verify the actual situation of COVID-19 in China, drawing the following conclusions and recommendations. (1) The scenario-based urban infectious disease emergency management model can effectively replicate the development of urban infectious diseases. (2) The establishment of an emergency command center and the isolation and observation of individuals exposed to infectious diseases are crucial factors in the emergency management of urban outbreaks of infectious disease.

Research on Road Geological Hazard Risk Assessment Model Based on Computational Deep Learning Algorithm Integrated With GIS

This paper studies the geological disaster emergency command and management system based on geographic information system. This system is for the province, city, county land resources and other aspects of the comprehensive application, the realization of real-time information display, meteorological early warning, group measurement and mass prevention, monitoring and early warning, major disaster management, prevention plan, quick report processing, emergency investigation, emergency disposal, emergency consultation and other functions. Through the GSM network, the monitoring data is sent to the monitoring center through the mobile phone, and then the monitoring center processes, stores, displays and alarms the monitoring data. Finally, B/S structure is used to build a remote Web data service publishing platform, so that it can carry out real-time monitoring at any place, and improve the speed, efficiency and intuition of high-speed slope disaster. It is proved that the method has the advantages of stable operation, accurate data, fast transmission speed and high monitoring accuracy through the practical application of a highway project foundation pit slope monitoring.

Evacuation modelling for rapid multi-hazard tabletop exercise deployment

To prepare for large-scale emergencies and crisis affecting communities, authorities, and emergency commanders use several types of training methods ranging from seminars to full-scale exercises. Within this continuum of exercise types, tabletop exercises (TTXs) are habitually used to familiarise participants with mitigation strategies, population management and evacuation procedures conducted as a response to natural or technological hazards. Commonly, TTXs are paper-based, and if computerised, use basic electronic maps, tend to be scripted and have a linear nature. Information flow is unidirectional as the script dictates how the exercise unfolds. These exercises have little capacity for producing qualitative or quantitative feedback related to the impact that the received scenario injects (i.e., incoming messages including scripted events and hazard locations), the authorities’ decisions, and the impact of hazards have on the wellbeing of the community and the evacuation process. While informative during training, this type of feedback may prove vital in assessing the likely impact of real incident. In this work an evacuation simulation model is proposed to augment the TTX experience in real time, offering feedback and insights on the impact that such injects, decisions and hazards have on the simulated community.The proposed methodology is utilised in an actual TTX co-organised and executed by the Municipality of Rhodes, Greece, where the evacuation model is used to (a) develop the standard, non-incident specific evacuation procedures for the Medieval City of Rhodes (MCR), (b) to adapt these procedures based on the injects (generated on-site or telecommunicated, emulating receipt from the field), producing the TTX scenario and (c) to provide information on the impact that the TTX hazards have on the evacuation process. The integration of evacuation modelling into the TTX process demonstrated that it is possible to gain a deeper understanding of the complexities related to route choices in response to path closures, the assembly and evacuation performance, as well as the management of the simulated incident by analysing qualitative and quantitative simulation results.

Study on the Effectiveness of the Integral Emergency Response System for Coal Mine Water Hazard Accidents Based on Combination Weighting

Improving the emergency response effectiveness of coal mines in response to water hazard accidents not only plays a vital part in minimizing the resultant losses, but also functions as an important index for evaluating the emergency response capability of coal mines. Therefore, it is of great necessity to test the emergency response capability of coal mines. In this study, an effectiveness measurement index system for the emergency response system that comprises two primary indexes (i.e., response capability and service capability) and six secondary indexes (i.e., accident information transmission, emergency command and control, emergency rescue and mitigation, emergency management, personnel team, and prevention and preparation) was constructed. Additionally, a technique for order preference by similarity to ideal solution (TOPSIS) model for evaluating the effectiveness of the integral emergency response system for coal mine water hazard accidents, based on combination weighting, was put forward. Both the empirical evaluation and model validation of the emergency response system for water hazard accidents were carried out by taking five coal mines attached to Henan Coking Coal Group as research objects. The findings suggest that the effectiveness of the emergency response system for water hazard accidents in the Guhanshan Coal Mine and the Zhongmachun Coal Mine is rated as “average”, while those in the Jiulishan Coal Mine, Zhaogu No. 1 Coal Mine, and Zhaogu No. 2 Coal Mine are graded as “good”. This result is consistent with the actual situation, which verifies the capacity of the proposed TOPSIS model to evaluate the emergency response system scientifically and efficiently for coal mine water hazard accidents. This study not only offers new ideas for how to enhance the comprehensive emergency response capability of coal mines with respect to water hazard accidents, but also provides support for making decisions concerning the upgrading of the emergency response capacity of coal mines.

Internet of things based smart system in the modified greenhouse solar dryer for agricultural products

The objective of this study is to develop a smart monitoring and control system for a modified greenhouse dryer for agricultural products utilizing Internet of Things (IoT) technologies and wireless sensor networks. This system enables real-time monitoring of air temperature and humidity, activation of the exhaust fan, adjustment of the heater, and determination of the optimal heating time. The investigation focused on the implementation of a microcontroller in the modified greenhouse system. The system possesses the capability to issue commands for the initiation of the heater and exhaust fan while also facilitating real-time monitoring. The system is equipped with an emergency command that can temporarily halt activities. The system utilizes two different temperature ranges, namely 45°C–50°C and 35°C–65°C, to analyse variations in heater usage across different temperature levels. Both software tools (Telegram and Google Excel spreadsheet) possess the functionality to monitor and regulate the temperature within a greenhouse by utilizing the chat network Telegram. Furthermore, the users possess the capability to store and access data related to the greenhouse system within an Excel spreadsheet.

Integrated Emergency Vehicle Scheduling Model in Urban Emergency Rescue within a Time-Limited Period

Considering the uncertainty of urban emergency rescue time, it is difficult for emergency vehicles to maintain a 100% service level continuously. The biggest challenge is to minimize driving distance and costs when the number of vehicles available for deployment is uncertain. In this study, considering the limitation of emergency vehicles, a new integrated emergency vehicle scheduling model for large-scale urban emergency rescue was developed, which is able to tackle multiple emergency tasks at the same time, achieving the shortest path and the lowest cost. Then, the emergency scheduling was simulated in seven urban areas of H City in China to verify the applicability of the proposed model, during which a fast non-dominated sorting multi-objective genetic algorithm with elite strategy was used to solve this model. Moreover, the corresponding algorithm test was conducted to verify the feasibility of the Pareto solution and demonstrate its effectiveness. Moreover, the simulation results show that the used algorithm can reduce computing time by 14.27%, compared with the genetic algorithm. Finally, the optimal scheduling scheme was selected according to the decision-makers’ preferences. This study solved various emergency vehicle scheduling problems under uncertain emergency times, which was beneficial for multilateral cooperation emergency scheduling and provided decision support for emergency command departments for choosing the best emergency scheme.

A Rapid Earthquake Disaster Assessment Platform Based on Cloud Computing

In the past few decades, earthquakes have been a major cause of casualties and economic losses. The rapid assessment system for earthquake disasters plays an important role in earthquake prevention, disaster reduction, and emergency command by calculating the economic losses and casualties caused by earthquakes in a relatively short time after the occurrence of an earthquake. Although there are now many rapid assessment systems for earthquake disasters, most of them adopt C/S and B/S architectures, which have limited computational efficiency during large-scale earthquakes. Based on these factors, this study aims to build a cloud computing-based rapid assessment system for earthquake disasters. The main modules of the system include intensity impact field calculation, building damage assessment, economic loss assessment, casualties assessment, and model parameter calibration. The results show that the system significantly speeds up the calculation process and shortens the assessment time. It can provide timely disaster assessment information to relevant departments in a short period and provide technical support for emergency decision-making.

Intelligent-Technology-Empowered Active Emergency Command Strategy for Urban Hazardous Chemical Disaster Management

Urban safety production is a core component of social safety and is associated with the production, storage and transport of hazardous chemicals, which are potential sources of disaster in an urban area. Chemicals’ locations in a city present a hidden site of danger, which can easily become disaster sites if supervision is inadequate. Aiming to improve the processes and typical scenarios of the production, storage, transportation and use of hazardous chemicals, this paper proposes an intelligent-technology-empowered active emergency command strategy (ITAECS) for urban hazardous chemical disaster management (UHCDM) in smart–safe cities. This paper aims to provide a strategy for active emergency command that takes into account the disaster source; hidden danger site; or disaster site of hazardous chemicals such as natural gas, gasoline and hydrogen energy based on five aspects: intelligent perception technology and equipment, a dynamically perceived IoT system, the accurate deduction of disaster posture, virtual reality emergency rescue rehearsal and an immersive emergency command platform. This research is conducive to the safety, efficiency and greenness of the whole industrial chain, such as the production, storage, transportation, operation and use of hazardous chemicals. There are difficulties and challenges in introducing ITAECS to urban hazardous chemical production safety and emergency management, such as the need for joint promotion of enterprises, industries and governments; uneven technological development; and several scientific–technological issues to be solved, as well as non-uniform standards. Overall, this paper helps improve the emergency management of urban hazardous chemical safety production.

Detecting the Unseen: Understanding the Mechanisms and Working Principles of Earthquake Sensors.

The application of movement-detection sensors is crucial for understanding surface movement and tectonic activities. The development of modern sensors has been instrumental in earthquake monitoring, prediction, early warning, emergency commanding and communication, search and rescue, and life detection. There are numerous sensors currently being utilized in earthquake engineering and science. It is essential to review their mechanisms and working principles thoroughly. Hence, we have attempted to review the development and application of these sensors by classifying them based on the timeline of earthquakes, the physical or chemical mechanisms of sensors, and the location of sensor platforms. In this study, we analyzed available sensor platforms that have been widely used in recent years, with satellites and UAVs being among the most used. The findings of our study will be useful for future earthquake response and relief efforts, as well as research aimed at reducing earthquake disaster risks.

Design of Visual Seismic Monitoring and Warning System Based on Zabbix

With build a modern comprehensive seismic monitoring system in Shanghai as the research background, this paper used Grafana design to monitor alarm development. It based on Zabbix open-source system. The visual seismic monitoring and warning system is designed. System can send group call, WeCom and SMS alarm to the operation and maintenance personnel when the fault occurs. It provided detailed fault data. The system improved the capability of business system fault response and handling. It provided an important guarantee for the emergency command, seismometric operation and service period operation of Shanghai Seismic Agency.

Architecture and modular design of power emergency command system based on association rule algorithm

In order to effectively obtain the electric power emergency command plan and reasonably dispatch emergency resources, the electric power emergency command system architecture based on association rule algorithm is designed according to the modularization idea. In the hardware part, the sensing layer is used to collect operation data, and the service layer is used to analyze and mine the data. The tool layer establishes the basic component library and the power industry component library. The network layer transmits relevant information to the application layer. The application layer realizes the three-dimensional simulation and visual operation of power emergency command such as resource scheduling and fault repair by calling the tool set. In the software part, the association rule algorithm combined with online analytical processing technology is used to mine the effective data in the collected data set to realize the analysis and processing of emergency command related work. Experiments show that the system can effectively command the output of the generator and obtain higher transmission margin when the fault occurs. And reasonably and evenly dispatch emergency resources to avoid resource waste.

Research on the Application of Intelligent Transportation System in Transportation Management

In order to cater to the development direction of the intelligent era, we should flexibly deal with various problems existing in transportation management, implement refined working ideas, and continuously update existing management schemes. Taking intelligent transportation system as the main object, we discuss its specific application in transportation management, and get the application methods of traffic monitoring system, emergency command and dispatch system, integrated information service system and intelligent monitoring system, so as to provide reference for relevant personnel.

Research and Implementation of Optimization and Promotion of Power Grid Emergency Command Center

In order to enable the power grid emergency command center to meet the needs of the emergency work under the current new situation, and provide strong support for emergency response and important activities of power conservation, based on the in-depth study and analysis of the application scenarios and basic business of the power grid emergency command center, combined with advanced information communication technology, and studied the optimization and upgrading methods of the power grid emergency command center. Through the research on the optimization and upgrading method of power grid emergency command center, the optimization and upgrading scheme is proposed to guide the power grid enterprises to carry out the optimization and upgrading work of emergency command center. The optimization and upgrading scheme of the power grid emergency command center will be used for the transformation and upgrading of the emergency command center of the power grid companies at all levels, which will help the power grid companies at all levels to improve their emergency.

MULTI-USER COLLABORATIVE VIRTUAL EMERGENCY DRILL SYSTEM FOR URBAN ROAD EMERGENCIES

Abstract. In order to comprehensively improve the coordination and emergency response ability of road emergency commanders and rescuers to various road emergencies, analyze the problems faced by road emergency personnel in rescue training, and propose a simulation drill method combining virtual reality visualization technology with emergency rescue training content to form an interactive drill system.This paper elaborates the key technologies, architecture system and functional design of the system in detail, introduces and implements a complete set of virtual emergency drill disposal process based on the case of landslides blocking urban roads in flood season. The Internet and virtual reality technology are applied to build road emergency scenes. The emergency drill personnel carry out remote interactive virtual collaborative emergency drills in the same virtual environment, so as to realize the repeated deduction drills of road emergencies, and design the emergency disposition of scientific assessment system for drill personnel to evaluate objectively the disposal process, It effectively improves the emergency response and rescue ability of emergency personnel, and solve the problems faced by the current road emergency practice drills, such as less times, high cost, single scene and subject, etc.

Landslide Detection Based on ResU-Net with Transformer and CBAM Embedded: Two Examples with Geologically Different Environments

An efficient method of landslide detection can provide basic scientific data for emergency command and landslide susceptibility mapping. Compared to a traditional landslide detection approach, convolutional neural networks (CNN) have been proven to have powerful capabilities in reducing the time consumed for selecting the appropriate features for landslides. Currently, the success of transformers in natural language processing (NLP) demonstrates the strength of self-attention in global semantic information acquisition. How to effectively integrate transformers into CNN, alleviate the limitation of the receptive field, and improve the model generation are hot topics in remote sensing image processing based on deep learning (DL). Inspired by the vision transformer (ViT), this paper first attempts to integrate a transformer into ResU-Net for landslide detection tasks with small datasets, aiming to enhance the network ability in modelling the global context of feature maps and drive the model to recognize landslides with a small dataset. Besides, a spatial and channel attention module was introduced into the decoder to effectually suppress the noise in the feature maps from the convolution and transformer. By selecting two landslide datasets with different geological characteristics, the feasibility of the proposed model was validated. Finally, the standard ResU-Net was chosen as the benchmark to evaluate the proposed model rationality. The results indicated that the proposed model obtained the highest mIoU and F1-score in both datasets, demonstrating that the ResU-Net with a transformer embedded can be used as a robust landslide detection method and thus realize the generation of accurate regional landslide inventory and emergency rescue.

Smart City Public Safety Intelligent Early Warning and Detection

This study conducts in-depth research and analysis on the intelligent monitoring and early warning of public safety machines in the construction of smart cities, taking risk management theory as the theoretical basis and combining it with the actual situation, i.e., constructing a public safety risk management framework under the background of proposing urban refinement management, a typical case for in-depth analysis, and understanding how the community carries out public safety risk prevention and control through research and interviews and other research methods, mainly including the overall design and the design of application modules for the robot. Based on studying the existing research and combining the advantages of each research method, this study proposes a method suitable for the analysis of this study, which can improve efficiency and accuracy. The robot application module design part, around the system’s main emergency command object, i.e., the robot, details its design in four aspects: data communication, situation display, auxiliary decision-making, and command and dispatch. The technical environment for system development is given, the development framework based on BS structure and the development and implementation of data interface modules are detailed, and the development and implementation of the robot application module are explained in detail. Finally, the system functions and performance, and further optimization directions are given based on the analysis of the test results.