人工智能城市和智慧城市_智慧城市：人工智能在城市管理中的应用
人工智能城市和智慧城市
Smart cities are not mere sci-fi or cyberpunk fantasies but a real-world solution rooted in Artificial Intelligence and the Internet of Things. However, a pressing inquiry arises: what mechanism drives its implementation? The distance between humanity's current capabilities and those depicted in futuristic visions of smart cities remains significant. In pursuit of elucidating these questions, I sought to illuminate the current state for those eager to explore both attainable prospects and future-trackable solutions.
智慧城市既是一种科幻概念或计算机朋克式的理想形态,又是一种以人工智能和物联网为基础的实际应用方案。这一问题的核心在于什么？我们与电影中描绘的理想化智慧城市形象之间存在怎样的差距？为此,我希望能够向那些对未来的潜在可能性及可行方案有浓厚兴趣的人们分享一些最新的进展信息。
什么是智慧城市？ 我们为什么需要它？ (What Is A Smart City? Why Do We Need It?)
Regardless of the challenges, modern urban planning is less focused on flying vehicles, robot-assisted services like coffee shops, or other intriguing sci-fi concepts inspired by future predictions. Despite the difficulties involved in achieving such initiatives, modern technology has made it possible today to develop equally impressive solutions through advanced data analysis and sensor-based systems that continuously collect and analyze vast amounts of information.
无论是优是劣,如今的城市智慧不再像飞行汽车、出售咖啡的机器人或其他虚构的愿景.尽管我们需要走很长一段路才能实现这一目标,但由于数据分析和传感器能够收集所有数据,我们现在拥有了同样令人 impressions深刻的解决方案.
What drives the ultimate goal of achieving smart cities? The ultimate goal lies in mitigating the adverse impacts resulting from urbanization while enhancing urban well-being. Given that numerous challenges connected with urbanization - which is increasing at an exponential rate - exist across various aspects such as energy distribution systems, waste management practices (trash collection), sustainable food consumption patterns (consumption of food), water resource management (energy and water), road infrastructure planning (traffic jam), legal enforcement (crime) and social welfare programs (other consequences stemming from social deprivation). To address these multifaceted challenges effectively requires implementing innovative strategies.
智慧城市的终极价值体现在哪里？它致力于解决因城市化进程引发的各种社会问题，并提升居民的生活质量。在与城市化相关的众多挑战中（如能源资源短缺、垃圾处理压力与交通拥堵等），智慧城市通过智能技术手段能够有效应对这些问题：包括减少能源浪费、优化垃圾处理效率、合理配置食品资源（即减少浪费）、节约水资源以及缓解交通拥堵状况，并且还能降低犯罪行为以及其他社会福利损失。
技术领域：涵盖哪些AI技术用于城市管理？ (Technical area: Which AI technologies are used for urban management?)
It is not widely known, but intelligent cities play a central role in today's urban landscape, with Artificial Intelligence, wireless networks, and other communication mediums at their core. If you wish to delve deeper into what exactly it entails, here are key points of the technology behind smart cities:
这一现象并非隐藏，在智慧城市的发展过程中，人工智能、多种先进通信技术和无线网络等均发挥着关键作用。 如果您有兴趣深入了解这一现象的具体表现，请参考以下技术要点总结。
- Information and Communication Technology (ICT). Generally speaking, it is an interconnected system that integrates various devices. It acts as a crucial link between the inhabitants/consumers of specific services and the city administration.
信息和通信技术(ICT)。 大致上讲,ICT是作为连接众多设备的一种更为普遍的网络架构,并且在某种程度上充当着居民和消费者与城市管理部门之间的重要桥梁.
- Internet of Things. The Internet of Things embodies a global network of connectivity. IoT is tasked with integrating diverse devices and sensors under a unified platform to enable communication through sensors and consider necessary scenarios.
物联网。 物联网体系代表着人类对万物互联的理想追求。在物联网体系中，各类型设备与传感器被整合在一起，并在其功能下完成信息传递与应用服务的双重角色：其功能体现在通过传感器传递所需信息的同时兼顾多种应用场景。
- Sensors. These sensors function as essential components within an intelligent urban system designed for innovation. They collect information through different methods and transmit this data to designated servers.
传感设备。 在大型创新型智能城市系统中主要承担小型组件的角色。 传感设备通过多种途径收集信息后自动传输至相应的服务器。
传感设备。 在大型创新型智能城市系统中主要承担小型组件的角色. 传感设备通过多种途径收集信息后自动传输至相应的服务器.
- 人工智能的核心. 从核心来看，人工智能主要依赖于算法。在智能城市中，各种传感器收集数据后将其传输给AI和机器学习算法以发现模式。从数据中获得的所有见解都可以用于赋予机器完成特定任务的能力，这些任务让机器能够模仿人类被认为是聪明的行为。换一种更简单的说法：人工智能有助于理解由设备产生的海量数据
人工智能。AI的基础是计算技术。在智慧城市中，各种传感器会采集数据，并通过AI与机器学习算法将这些数据传输以便发现规律性模式。通过对所分析的数据提取所有信息，则可以让机器完成诸如被认为具有智能行为的任务等工作。简单来说，人工智能能够帮助我们理解和解析设备产生的大量数据。
基于云的物联网应用通常与各种类型的移动设备、平板电脑以及连接的车辆和办公室进行整合，并且也与之无缝集成。
通常会将基于云的应用程序整合到多个设备或系统中，并将其关联车辆与办公场所集成。
Blockchain. The technology ensures the security of data transmission while maintaining transparency in business operations.
区块链 它可确保数据流的安全并使所有过程透明。
- Geospatial Information Systems (GIS). An additional significant technology that substantially enhances the efficiency and functionality of modern urban systems. Geolocation enables more precise tracking and locating of essential devices within urban environments.
地理信息空间技术。作为提升城市智能化水平的重要手段之一，该技术有助于实现城市管理的精细化管理。通过地理位置信息系统的应用，我们可以更高效地追踪和确定所需设备的位置。
All this assists in the receipt, analysis, and management of real-time data to enable a better understanding of various city processes.
所有这些都旨在通过实时获取数据的动态更新与系统的智能化处理来优化城市管理。
5 智慧城市建设中人工智能的创新性应用场景 (五个智慧城市建设中人工智能的创新性应用场景)
请问有哪些真实的案例和实例能够体现AI驱动的城市管理技术？以下是迄今为止最生动且完善的应用场景：
在城市管理中涉及的核心领域中有哪些具体的实践案例和实际应用示例？这些系统平台已成为当前最具吸引力、最前沿性的AI系统平台。
#1 Automated Video Object Detection Algorithms
＃1自动视频对象检测算法
Video-based object detection stands as one of the primary reasons behind the widespread attention and acclaim garnered by the concept of smart cities. Its implications and operational mechanisms are crucial for understanding its role in urban development. Cameras equipped with specialized sensors are capable of tracking a variety of patterns, including intricate movement sequences and overall scene dynamics, thereby promptly signaling any anomalies relative to normal operations. The notable application occurs during festivals when such systems excel in detecting events like terrorism or signs of violence within crowded public spaces.
视频对象检测作为智慧城市概念中的核心技术之一，在公众中引发了广泛关注与高度评价。 它是怎样的存在？它的作用是什么？ 具备多种先进传感器的技术使得摄像头能够实时监测各类模式、行为序列以及常见情况，并及时发出不符合标准的行为提醒。 例如，在节日期间这类摄像头能够迅速识别并报告出人意料的社会动荡行为。
Besides these technologies can be employed in varied ways. Such as collecting data from different parts of the municipality it might become more convenient for law enforcement to identify areas requiring additional scrutiny.Therefore this theft will reveal the number of criminal cases.
另外一种方法是利用这种技术。
比如，在收集市政局各区域的数据时，
警方可能会更有针对性地分析哪些区域需要额外关注。
即从简要来说，
这种盗窃行为将使刑事案件的数量更加明确。
An instance of this application is the closed-circuit TV system (CCTV) deployed in various security facilities. Another extraordinary instance is the Canon cloud-based video analytics service specifically tailored for SG locations. In essence, these video-object detection systems operate through processes that involve leveraging AI-driven object detection coupled with facial recognition technologies to accomplish a range of tasks: learning patterns within a given area; identifying and classifying human faces along with their attributes such as gender, height, and emotional states; scanning license plates for identification purposes; and promptly detecting anomalies or potential security threats like unattended parcels.
这一类应用的一个典型实例是在闭路电视（CCTV）系统中的展示。更为突出的案例是在SG中基于佳能云提供的视频分析服务。总体而言，此类视频对象检测系统主要依赖于AI对象检测技术和面部识别机制来完成的任务包括区域内的学习模式。该系统能够识别面部、性别、身高和情绪；能够解析车辆号码；并识别异常或潜在威胁的情况（如未被看管的包裹）。
#2 Smart parking applications
＃2智能停车应用
来自 Unsplash 的一张图像 ID 为 yvfp5YHWGsc 的照片
The challenge posed by an overwhelming number of cars on roads is significant for all urban areas. However, vehicle parking and traffic management represent another area where AI solutions can make a difference. Connected vehicles have the capability to interact with parking measures as well as EV charging docks, thereby guiding drivers to the nearest available spaces. The underlying mechanism is straightforward: equipped with sensors embedded in parking spots, real-time traffic updates are generated.
每个城市的道路上汽车问题都至关重要。然而，在停车管理和交通指挥方面也有助于提升效率。联网车辆可与停车措施及电动汽车充电站互动使用，并可引导驾驶员至最近设施。此处采用的方法较为简单：利用停车位内的传感器装置即可实时描绘出车辆行驶路线图。
The purpose of this function is limited to tracking vehicle movement and displaying available parking spots for drivers to advance freely. This significantly aids in comprehending at the outset where car parking is feasible. Notably, these sensors are versatile and applicable in diverse scenarios. For example, during peak hours like rush hour, such a system can promptly indicate an available seat and enable drivers to reserve this spot exclusively for themselves.
这里的功能主要是一个专门的功能——实时监测车辆的运行状态并实时更新可用停车位信息以便于驾驶者随时参考和利用。这一系统自始至终地提供便利信息有助于用户及时掌握停车位置的选择与安排。特别值得注意的是这些传感器具备高度灵活和多样的适应性能够根据不同复杂场景采取不同解决方案例如在交通高峰期这种系统能够迅速识别出空闲座位并主动提醒驾驶者优先选择这些位置从而减少资源浪费和提高效率
#3 Autonomous Flying Objects
＃3自主飞行物
推荐一张来自... Unsplash 的高质量视觉元素。 同样地推荐一张 ... 上的精美图片作品。 这两个来源都提供了 ... 上的精彩图片展示。 同样地提供来自 ... 上的优质视觉资源。 这两个来源均来自 ... 上的丰富图片素材库。 同样推荐使用 ... 上的最佳图像素材作为参考材料。 这两个都是从 ... 提供的最佳视觉内容作为设计灵感来源 使用这些来自同一平台的高质量图像素材非常实用 这些都是源自 ... 平台精选的最佳图像素材库 无论是用于创作还是研究 都是非常有价值的 考虑到时间和空间因素 这些也是最佳的选择 对于需要大量高质量图像素材的人来说 绝对值得一试
Smart cities initiatives regard drones as autonomous vehicles used for transporting goods between hubs and consumers. The existing models developed by companies like Uber and Hyundai serve various purposes. When it's necessary to monitor specific areas within a city, flying drones provide an efficient solution. Alternative approaches such as object detection systems or facial recognition technologies can be employed to identify required patterns and send signals accordingly.
智慧城市计划设想让无人机充当自动驾驶汽车在两个枢纽之间运送货物以及在两个枢纽之间向消费者配送货物。 Uber及其竞争对手生产的无人机已经取得了成功案例。 当用于调查某个区域时，飞行无人机能够发挥辅助作用。 此外还可能采用物体检测和面部识别技术来检测所需模式并传递相关信息给相关人员
#4 Face Detection Cameras and Movement for Public Safety
＃4面部检测摄像头和移动装置，以确保公共安全
本款智能城市应用源自于前一版本。实际上，在识别面部、运动和物体后，我们能够从数据中提取大量见解。无论是一张照片还是一段视频内容，我们都可以开发出Video Content Analytics解决方案来识别并追踪人员。例如，在警方无法定位失踪者时，面部识别技术和相关系统能够迅速向失踪者发出警示。
智慧城市中的这一应用被视为前一版本的替代品。 实际上，在数据中提取见解可以通过识别人脸、动作和物体来进行。 不论是静态图片还是动态视频，在这些领域中都可开发基于视频内容分析的技术来识别人脸、动作和物体。 如果警察无法找到失踪者的下落，则可以帮助系统迅速提醒失踪者的家人。
#5 IoT solutions to manage waste smartly
＃5物联网解决方案可智能管理废物
Another application designed to address significant challenges. Smart waste solutions such as Sensoneo classify trash thrown at varying speeds and identify different types of garbage for sorting. Notably, this system has achieved a 30% reduction in waste collection costs. Another example of innovative waste management solutions is Urbo which integrates real-time data from sensors alongside geospatial data and machine learning algorithms. The system leverages advanced machine learning to analyze and interpret the collected data effectively.
替代方案以解决关键问题
#6 Predicting the infection outbreaks & post-COVID life management
＃6预测感染爆发和COVID后的生活管理
该平台提供了一张高质量的照片
Another significant application is gradually becoming feasible with the advent of smart cities and AI technology, thereby offering a pathway to improve human well-being. Since the onset of the COVID-19 pandemic, efforts to combat the virus have intensified, leading to numerous solutions that have been developed. Among these innovations are several detection technologies that are now integral to smart city systems. This brings us to consider several detection technologies that are now integral to smart city systems. Among these innovations are contactless thermal imaging devices, rapid antigen tests, and even algorithms designed specifically for detecting viral particles in air samples. These advancements not only enhance public health but also increasingly popularize AI technology and data analysis as tools for epidemic management.
借助智慧城市与人工智能技术的支持下，在智慧城市框架内出现了一个关键案例逐渐实现了其目标。这一进展可能对人类社会产生深远影响。自新冠疫情大爆发以来，各国科研机构已经开发出了多种用于检测病毒的方法，并在此基础上形成了成熟的解决方案。在智慧城市建设中常用的工具有：
- Remote-based temperature monitoring systems. Various technologies can be employed for remote measurement of body temperatures. In China alone, advanced smart helmets have been developed to promptly indicate a rise in body temperature within crowds. Additionally, non-contact methods such as infrared thermography can be employed to measure body temperatures.
远程温度监控系统。 多种技术可以通过远程手段来测量体温。 例如，在这些技术中有一种是智能头盔能够实时发送警报信息。 此外还有其他设备能够进行体温监测而不直接接触人体。
Outbreak prediction systems are designed to analyze public health data and determine whether an epidemic outbreak is imminent. These systems encompass various approaches tailored for different scenarios, offering valuable insights into potential disease spread patterns. For instance, the BlueDot system has been instrumental in tracking global COVID-19 transmission trends since its establishment in 2020.
预判流行病爆发趋势。 这些系统能够分析公共卫生数据，并预判疾病是否会大规模传播。 例如，在新冠肺炎疫情初期，BlueDot系统当时的预测能力非常有限。
Implementing social distancing measures. Another potential application of artificial intelligence lies in assessing social distancing metrics and issuing alerts for populations that fail to adhere to safety protocols during a COVID-19 outbreak.
社会疏远控制。 从人工智能的角度来看，一种替代方案是评估人群间的社交距离，并在冠状病毒大流行期间未严格遵守安全措施时发出警告。 例如，在新加坡，存在一个名为SafeDistancer的应用程序。
#7 Augmenting Workforce Knowledge and Skills
＃7增强员工的知识和技能
The U.S. Department of Energy (DoE) has projected that 25% of its workforce will experience a significant career shift within five years, while individuals entering new fields without prior expertise in certain areas may find it challenging to match the pace of their counterparts. Mastery of all prior knowledge will require time and effort, but advancements in natural language processing and pattern recognition are key for expediting this transformation, which currently takes years to complete due to the need for extensive knowledge absorption. While AI holds great promise for expediting this transformation, advancements in natural language processing and pattern recognition are key
美国能源部表示：预计有25%的员工在未来五年内将达到退休年龄。对于那些在某些领域缺乏经验的新移民而言，在短时间内完成相当于自身工作水平的任务将是难以实现的。然而，在人工智能的帮助下，则有望缩短这一过程所需的时间。借助自然语言处理(NLP)和模式识别技术，则可以建立一个能够从企业的内部通信、培训资料等中提取有价值信息的系统
As an instance, IBM has already provided a ready-made system known as Maximo Equipment Maintenance Assistant, which draws on knowledge from previous employees and enables newcomers to remain informed about the finer details. This system's distinct benefit is its design to offer the most effective solutions for issues of varying complexity.
例如，在IBM公司现提供一个名为Maximo Equipment Maintenance Assistant的现成系统中,该系统通过汲取前人经验,帮助新人迅速掌握细节之处.其主要优势在于,该系统能够最佳方式来应对各种复杂挑战.
#8 Reducing Air Pollution
＃8减少空气污染
The unsplash brand is a prominent platform for displaying high-quality images, and its logo appears twice on the page.
Similar to renowned Greta Thunberg's assertion: if we fail to implement measures to mitigate greenhouse gas (GHG) emissions currently, a universal disaster will unfold in due course. However luckily now thanks to smart cities coupled with AI applications aimed at minimizing energy waste globally we can readily address these issues. By way of additional note it's quite feasible as per statistical data that existing technologies capable of reducing greenhouse gas emissions by at least 4% by 2030 are already available. Yet progress is far from stagnant and it's plausible that this figure could only increase further.
如同知名环保倡导者Greta Thunberg所言：若我们未能及时采取行动治理温室气体（GHG）排放，则未来将会面临一场全球灾难。然而值得庆幸的是，在当下阶段——借助智慧城市建设和人工智能的应用——我们得以大幅减少能源浪费、环境污染的同时也能够有效地预防此类问题的发生。值得注意的是，“统计数据表明”，到2030年为止已研发出的技术有望将温室气体排放减少至少4%。“尽管如此”，但可能进一步提高这一比例。
Within the range of current implementations for this task, Singapore serves as a notable example. As a highly technologically advanced metropolis, it exemplifies how AI and IoT solutions can be effectively deployed. These technologies are employed to consistently gather data on air quality, pollution levels, and temperature fluctuations. The analysis of such data provides the city administration with insights into which regions demand the swiftest response and preventive measures against pollution.
在此任务的现有实现中
此外，在全球知名的IBM公司也提供了一个类似的案例。IBM公司目前正研发并部署一项创新技术——通过收集和分析来自燃煤电厂、工业园区、气象状况以及交通拥堵数据等多方面的信息，以评估北京地区的空气污染程度。该系统因其能够提供改善空气质量的具体建议而备受关注。
除此之外，在IBM等著名公司中也有一个类似的案例。目前该企业正在试点应用一项新型技术系统。利用来自燃煤电厂、工业园区运行数据、气象条件以及交通状况等多方面的信息源进行整合分析。值得注意的是，在这项技术应用中不仅能够实现数据分析整合更为重要的是它还能够提供具体的改善建议。
智慧城市中的最杰出案例 (The most outstanding cases among smart cities)
Numerous smart cities are increasing at a rapid pace, and yearly, their numbers continue to surge. Among the cities I have identified as particularly intriguing those cities.
有许多智慧城市正在Swift发展，并且数量年年攀升。 这些城市是我迄今为止最令人印象深刻的挑选。
New York
纽约
New York isn't merely a globally renowned smart city; it's also one of its most advanced urban areas. Another standout example is LinkNYC (https://www.link.nyc/), a project designed to establish a network spanning multiple cities, offering free Wi-Fi access for accessing city services, maps, and directions. Lastly, Cyber NYC (https://www.cyber-nyc.com/) stands out as an AI-driven solution aimed at addressing growing cybersecurity concerns.
纽约无疑是一个首屈一指的智能城市。 LinkNYC则是一个卓越的应用程序典范。 该平台旨在构建一个多城网络，并通过免费Wi-Fi供访问城市服务、地图和路线。 另一个在线平台Cyber NYC则基于人工智能技术开发。 综合来看，纽约以其卓越的城市规划和创新技术解决方案而闻名于世。
Typically, there exist various systems designed to address water-related issues, conservation efforts, public safety concerns, and waste management challenges. For example, since 2008, heating programs have successfully switched users from using oil to natural gas, resulting in a significant reduction of sulfur dioxide emissions—over 70% improvement.
预计有多种系统可用来解决水质问题以及资源节约问题，在公共安全与废物管理领域也面临诸多挑战。例如，在过去13年中实施供暖计划后，某城市成功将企业能源来源从石油转变为天然气，并且二氧化硫排放量下降了70%以上。
Amsterdam
阿姆斯特丹
Since 2009, the city has experienced rapid growth. Currently, it boasts over 200 active projects that aim to enhance its smart infrastructure. Among these initiatives is an innovative system called 'roboats' (https://en.wikipedia.org/wiki/Roboat), which operates efficiently and effectively in managing boat services. Additionally, various systems have been developed to address environmental challenges such as issues related to overconsumption, population growth, and global warming. To tackle these pressing concerns, Amsterdam has established its own City Data platform (https://data.amsterdam.nl/), making it freely accessible for public use. This resource empowers users to access, retrieve, organize, and utilize data precisely according to their needs.
自2009年以来，在阿姆斯特丹市范围内逐步发展起来的城市智慧项目取得了显著进展。此类创新性应用中最为引人注目的是被称为" Robotic Vessel Management System "的一种船只交付系统。这一创新性应用能够帮助船公司高效地管理船舶运行。除此之外，则已规划并启动了超过200个相关项目。为了解决诸如资源过度消耗、人口增长以及全球变暖等环境问题,Amsderdamm has developed its own city data, which is publicly available。您可以通过访问该平台查找、下载以及整理所需的数据，并利用这些信息来提升您的相关项目
Copenhagen
哥本哈根
又是一个值得关注的智能城市是哥本哈根市。作为丹麦首都，在全球范围内享有盛誉。哥本哈根作为丹麦首都，在全球范围内享有盛誉。该市最引人注目的发展之一是自行车停车系统经与麻省理工学院(MIT)合作建成这一系统。此外，在交通管理方面采用了实时监控和调控的方法从而减少CO₂排放量实时监控水空气噪音天气状况以及垃圾处理系统的运行情况
另一个值得特别关注的城市之一是哥本哈根。
其最具标志性的创新项目之一便是自行车停车设施。
哥本哈根与麻省理工学院联合开发了这一设施。
此外，在城市运营中采用了多种数据收集手段：
例如实时监控交通状况，
以及减少二氧化碳排放量。
这些传感器不仅监视水、空气、噪声、天气，
还监测废物和下水道系统的运行状态。
下一步是什么？ (What’s Next?)
How can urban management be transformed in the short and long-term perspectives? The progress of sensors, wireless networks, web, and mobile applications requires significant resources to achieve desired outcomes. However, AI's opportunity to transform urban spaces is already very promising.
就短期与长期两个方面而言，在城市治理方面将发生何种变化是一个值得深思的问题？要实现上述目标则需经过一番努力与相应的投入才行以取得理想的效果。然而，在城市空间改造方面的人工智能技术其应用前景已然非常巨大
Currently, we have powerful applications based on video-object detection, robust traffic control systems, autonomous flying devices, facial recognition cameras, intelligent waste management systems, and similar technologies. The outlook for the future is even more promising. According to [PRNewswire], the projected value of the global smart cities market is expected to reach $2.57 trillion by 2025, growing at an annual rate of 18.4%.
目前，在多个领域如视频对象检测、交通管理系统、自主飞行技术、面部检测摄像头以及智能垃圾处理系统等方面已经取得了显著的应用成果。展望未来局势将更加乐观。根据PRNewswire的数据来源链接显示的数据预测可知：预计到2025年全球智慧城市市场总体规模将达到2.57万亿美元并以每年18.4%的速度持续增长。
总体而言，我想强调的是智能城市能够解决各类问题。首先，全球化的城市化意味着我们需要尽快改善市民的生活。其次，在未来20年中，参考 Cisco 的数据，在未来20年中，智能城市的能源效率有望提升约30%。因此，在可预见的将来，智能化不仅是一种创新的方式，并且是许多城市不可或缺的重要步骤。
综上所述我认为智慧城市建设能够有效应对各种社会挑战。作为一项关键举措我们需加快步伐以提升生活质量。基于思科公司的预测在20年内智慧城市的目标是实现其整体能源效率水平的提升达到30%这一显著目标。由此可见未来一段时间内智慧城市建设不仅能够推动创新还能成为每个人的重要一步。
However, I believe we mustn't overlook security as well. Benefiting from advancements in smart cities requires our trust in all underlying technologies. In situations where citizens share information collectively, advanced measures against hacking and data theft are essential. This implies that data collected, stored, and analyzed must be trustworthy to ensure robust protection against cyber threats. To achieve these security objectives effectively, integrating strong authentication mechanisms with comprehensive identity control solutions is crucial for maintaining a secure digital environment for everyone involved.
但此外,我认为我们不能忽视智慧城市的安全性问题。 依赖于这些技术,我们便能够从中获益。 当公民们主动分享数据时,就必须具备应对网络攻击与数据泄露的能力方案。 这就意味着,我们必须保证收集、存储与分析的数据都是安全可靠的。 为了实现这些关键的安全目标,我们应该致力于构建一个统一的身份验证与权限控制的安全防护体系。
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If you wish to explore further into the fields of artificial intelligence (AI), machine learning (ML), and data science, I would like to invite you to follow my Instagram account @miallez and also visit my Medium blog where I regularly share insightful posts on cutting-edge technologies.
如果您有兴趣深入探索AI、ML和数据科学领域，请访问我的Repos以及Medium上的账号@oleksii_kh’s Instagram Account。
I am also accessible on LinkedIn. Additionally, if you are connected to SAP, I invite you to join my SAP S/4HANA channel on Telegram.
您可以在我的个人资料的LinkedIn页面查看我的动态。如果您的工作领域涉及SAP系统，请访问我的个人频道https://t.me/SAPS4Hero。
Let’s grow together!
让我们一起成长！
人工智能城市和智慧城市