Digital Cities Roadmap

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A good management strategy must be expected to mitigate the dangerous consequences of rapid urbanization that modern society, the economy, and the environment may face. Sustainable smart cities include established structures, infrastructures, communities, institutions, and individuals.
On the other hand, this book also deals with energy consumption. Such energy consumption leads to a rapid depletion of energy resources, an increased need for building maintenance, an improvised comfortable lifestyle, and an increase in time spent on building construction. A sustainable building mainly explains the renewable sources used for construction, which helps the structure withstand atmospheric changes. Currently, all countries are looking for ecological materials, that is, renewable plant materials such as straw and clay bricks, wood from forests certified for sustainable management, recycled materials, and other non-toxic, reusable and renewable products. For sustainable and durable construction, energy efficiency is an urgent problem, and researchers are currently actively involved in this area. This book will provide an in-depth analysis of design technologies that lay a solid foundation for sustainable buildings. The book also highlights smart automation technologies that help save energy, as well as various performance indicators needed to make construction easier. The book aims to create a strong research community, to have a deep understanding and the latest knowledge in the field of energy and comfort, to offer solid ideas in the nearby future for sustainable and resilient buildings. These buildings will help the city grow as a smart city. The smart city has also focused on low energy consumption, renewable energy, and small carbon footprints. To find the optimal use of energy resources, researchers must study optimization methods.

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Smart Building Services Taxonomy

The taxonomy of SB resources essential domains is shown in Figure 1.26. Lighting service connects the well-being of occupants in SBs that have sensors that save energy when lights are not needed, based on their operation. Power and electricity can supply a percentage of SB power consumption with renewable energy sources. HVAC implies the heating, ventilation and air conditioning device, built for the comfort of citizens and an efficient ambient contact. The water resources program aims at growing conservation and maximizing resource recovery for water supply.

Smart building service taxonomy is related to the maintenance of electronic doors, biometrics and SB security cameras devices. The Control Center offers management and decision-making for apps. The automated apps include a description of the state of building capital resources and HR managers. These interfaces enable occupants to set optimum criteria to boost everyday business comfort and productivity. Ultimately, the Control Center, in the house like in the service control room, refers to linking sensors and actuators (Table 1.8).

Table 1.7Difference between real time data analysis tools [56].

Tool First released in Main Owner Platform Written in API languages Aulo- Scaling? Event Size fault Tolerance Type
Storm Sept. 201I BacLtvpc. Twitter Cross-platform Clojure and Java Any programming language No Single Yes Distributed stream processing
Kafka Jan. 2011 Linkedln. Confluent Cross-platform Scala Java, C++, Node.js Yes Single Yes Message broker
Oracle Jan. 2013 Oracle Cross-platform Java Java, Node.js, Python, PHP, and Rubv Yes NA Yes Distributed stream processing
Spark Spark AMPLab. Databricks Microsoft Wmdous, OS X. Linux Scala, Java, Python, R Scala, Java, Python, R Yes Minii-batch Yes Streaming analytics
Amazon Kinesis Dec. 2013 AWS Microsoft Windows, OS X, Linux C++ C++, Java, Python, Ruby. Node.js, .NET Yes Data blob of 1 MB size Yes Real-time streaming data
Flume Jan. 2012 Apple, Cloudera Cross-platform Java Java No Single Just with file channel only Distributed stream processing
SAMOA May 2013 Created at Yahoo Labs Cross-platform Java Java Yes NA Yes Distributed stream processing

Figure 125Framework ML concept in the SB context 111 Conclusion and Future - фото 26

Figure 1.25Framework ML concept in the SB context.

1.11 Conclusion and Future Research

Research results in this study revealed the value of establishing a sustainable framework for emerging development on the basis of green design and automated project execution in smart buildings. It will be achieved before artificial intelligence is used to accomplish smart buildings in the context of nanotechnology, structural knowledge simulation and Lean Architecture. The challenge of global change remains a major concern, given new technologies and smart buildings in developing countries.

Figure 126Taxonomy of SB Services In Africa however we will ensure that the - фото 27

Figure 1.26Taxonomy of SB Services.

In Africa, however, we will ensure that the efficient use of green infrastructure is first addressed in emerging technology, including artificial intelligence and smart buildings. The coordinated project execution often guarantees that the various sources of knowledge recorded in building information models and lean design are adequately applied by the presence at a strategic level of specific categories of practitioners. For starters, IT specialists are often an important part of the strategic design team as a case study, Eko Atlantic City has reported that Eko Atlantic City and Victoria Island now cover more than five million square meters of Great Wall of Lagos, which is developed more than two miles offshore. One big problem was the possibility of extreme floods. The tidal waves used to spray water and scrap daily on the major coastal path called the Ahmadu Bello route until the Great Wall Builder of the modern community design during development to use environmentally sustainable products and state-of-the-art technology. Further analysis will demonstrate when the first buildings are complete, the essence of smart buildings and level of automated project execution at the location.

Table 1.8Application of smart buildings [56].

Application category Characteristics ML algorithm Technology used
Elderly Population’s Home Care Recognition of basic five activities, as feeding, grooming, dressing mobility and stairs SVM Wrist worn multi-sensors
Framework covers both sensing and the monitoring services for assisting elders at smart homes environment NA RFID
Elderly monitoring subsystem, home monitoring subsystem and the caretaker monitoring subsystem NA Vital sign sensors, GPS
Support elderly people in carrying out a longer independent life at home Neural Network Illumination sensor, temperature sensor, door sensors and RFID
Energy Efficiency It becomes functional on a knowledge base that stores all information needed to fulfill the goals of energy efficiency and user comfort NA Household appliances
Stationary and mobile user interfaces for monitoring and controlling the smart environment NA Wireless power metering plugs, household devices.
Designing and evaluating end consumer energy efficient services NA Smart meters, Different types of sensors and actuators
Gateway system architecture to support home-automation, energy use management, and smart-grid operations. Classification algorithms such as C4.5 and RIPPER Smart gateway
Safety and Security Computer vision platform for security surveillance in smart homes CNN Surveillance cameras
Composed of two methods: web camera to detect the Intruder, and GSM technology that sends SMS. NA Web camera and GSM technology
Inexpensive, less power consumption NA GSM/GPRS
Comfort and Entertainments Deliver the service based on contextaware feature of the user k nearest neighbors’ classifier Environment monitoring sensors
Detect the atmospheric changes and predict the indoor air quality Deep learning CO2, fine dust, temperature, humidity, and light quantity seniors
Miscellaneous Protects Medical monitoring, green living, and general comfort. Classification regression and clustering algorithms. Wearable sensors
SB services in the fields of health and well-being, digital media and entertainment, and sustainability NA Smart floor sensors, assistive robots
Control people to control their environment. save resources. Remain mentally and physically active NA Home environmental sensors
Context-aware computing services through video tracking and recognition NA Contains myriad devices that work together

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