A Study on the Application of Smart Technology to Improve the Safety of Smart Cities

Kyung Suk Min
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Abstract

In order to propose ways to apply smart technology to improve the safety of smart cities, this study aims to propose smart technologies that are highly related to safety management in the areas of transportation, medical care, environment, nature, and crime prevention in smart cities, such as AR, BIM, big data, and cloud. , IoT, VR, robot automation, drones, and 3D printing were analyzed. For the study, the applicability of smart technology in each field was investigated by safety management experts using a matrix evaluation method, and the results can be summarized as follows. In the transportation field, big data technology for collecting and processing traffic information through GPS, GIS and smart phone apps, drone technology that monitors real-time traffic information and utilizes sensors such as vehicles, roads and signal devices, and various collected information The safety of smart cities can be secured by applying IoT technology that builds prediction models based on traffic patterns. In the medical field, robot automation technology that sets up predictive models for telemedicine, health management, drug processing and infectious diseases, drone technology that utilizes the movement of patients and medical staff, attachment of monitoring devices, and securing public health response data, etc. It is predicted that it will be possible to secure the safety of smart cities through 3D printing technology that can manufacture medical instruments, auxiliary devices, and various artificial bodies, as well as various medical models and educational tools. In the environmental field, drone technology enables real-time monitoring of water quality, air, and various environmental factors, robotic automation technology that uses robots in places to collect environmental data within the city, and environmental infrastructure that installs and collects buildings, vehicles, and various infrastructure facilities. IoT technology can be applied to improve the safety of smart cities. In the natural field, drone technology is capable of collecting and utilizing various data by attaching video, thermal images, LiDAR scans, radars and sensors, and integrated management linked to a central system focused on the installation of houses, buildings and various infrastructure facilities and environmental changes. The safety of smart cities can be improved by utilizing possible IoT technology, BIM technology that can establish response plans for storm and flood damage, cold waves, heatstroke, and earthquakes through 3D models, and big data technology that collects, integrates, and builds platforms for safety-related data. It can be promoted. In the crime prevention field, drone technology that can detect the occurrence of abnormal signals such as sound, heat, and optical sensors and link with the local police station, IoT technology that can collect and analyze voice recognition technology, and AI that strengthens facial and vehicle recognition in intelligent CCTV. The safety of smart cities can be secured through robot automation technology that combines the deployment of basic robots and collaboration with drones and IoT technologies.
智慧技术在智慧城市安全中的应用研究
为了提出如何应用智能技术来提高智慧城市的安全性,本研究旨在提出在智慧城市的交通、医疗、环境、自然、预防犯罪等领域与安全管理高度相关的智能技术,如AR、BIM、大数据、云。,物联网,虚拟现实,机器人自动化,无人机和3D打印进行了分析。在本研究中,安全管理专家采用矩阵评价法对智能技术在各个领域的适用性进行了调查,结果总结如下:在交通领域,通过GPS、GIS和智能手机应用收集和处理交通信息的大数据技术,利用车辆、道路、信号设备等传感器实时监控交通信息的无人机技术,以及收集到的各种信息,通过应用基于交通模式建立预测模型的物联网技术,可以保障智慧城市的安全。在医疗领域,为远程医疗、健康管理、药物加工和传染病建立预测模型的机器人自动化技术,利用患者和医务人员移动的无人机技术,监控设备的附加,以及公共卫生响应数据的安全等。据预测,通过3D打印技术,可以制造医疗器械、辅助设备、各种人造身体、各种医疗模型和教育工具,可以确保智慧城市的安全。在环境领域,无人机技术可以实时监测水质、空气和各种环境因素,机器人自动化技术可以在城市内使用机器人收集环境数据,环境基础设施可以安装和收集建筑物、车辆和各种基础设施。物联网技术可以用于提高智慧城市的安全性。在自然领域,无人机技术能够通过附加视频、热图像、激光雷达扫描、雷达和传感器,以及与一个集中于房屋、建筑物和各种基础设施的安装和环境变化的中央系统相关联的综合管理,收集和利用各种数据。利用可能的物联网技术、通过3D模型建立风暴和洪水、寒潮、中暑和地震响应计划的BIM技术,以及收集、集成和构建安全相关数据平台的大数据技术,可以提高智慧城市的安全性。它可以被提升。在犯罪预防领域,可以检测声音、热量、光学传感器等异常信号并与当地派出所联系的无人机技术,可以收集和分析语音识别技术的物联网技术,以及智能CCTV中加强面部和车辆识别的AI技术。通过将基础机器人的部署和无人机、物联网技术的协作相结合的机器人自动化技术,可以保障智慧城市的安全。
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