#5 [Smart Cities Web Series] – APPLICATIONS

Episode-5-Smart Cities Web Series-few-applications

Street light management system comprises of controller, Lux sensors, Gateways, Smart-IOs, etc. & the El-Net Software for Monitoring, controlling the LMS from the ‘Main Control Room (MCR)’. And the communication between the controller subsystem and the MCR happens through Wi-Fi.

Smart cities episode 5 - Light Management System

Functional Description:

Group(s) of street lamps are made ON/OFF based on one of the options (1) LUX sensor data input, in this option the lights are switched ON as the sunsets and they are  switched OFF on the sunrise. (2) Remote switching from the MCR: This option helps putting OFF/ON certain (play grounds, shopping complexes, etc.) light circuits according to the need. (3) Manual (Default) switching: this option could be used whenever they need to override the options 1 and 2. for various reasons. Also, Options 1 and 2 comes with a preprogrammed timed light intensities. And the light intensity could be set from 0% to 100% across the timed slots of the day and the schedule could be changed/reprogrammed as per the utilities need.

For example:

  1. 0%    light intensity from 06:00 Hrs. to 18:00 Hrs.
  2. 50%   light intensity from 18:00 Hrs. to 20:00 Hrs.
  3. 100% light intensity from 20:00 Hrs. to 22:00 Hrs.
  4. 50%    light intensity from 22:00 Hrs. to 6:00 Hrs.

‘El-Net Software’: The Software installed in the server will help integrating Lights to LMS circuits and configuring, Monitoring and Controlling the LMS circuits and customized report generation. The entire Lighting area is divided in to Zones, Zone wise user interface screen(s) helps View the energy consumption data and history of –communication failure, ON/OFF Status of lights with the time stamp on Daily/ Monthly basis and gives the flexibility to change the On/Off schedules.

Any status change in the lighting circuits will be published within 5 sec. on the central Display system provided at MCR and in case of alarms the respective operators would get text alerts and emails as configured.

Field Devices:

  1. Controller and IO Cards and with RS 485
  2. Field IO – DO Modules
  3. Field IO – AI Modules
  4. Sensors with 4-20mA Output

Network Interfaces:

  1. RS 232 Gateway with communication Ports RS 232 / RS 485 / USB
  2. Ethernet gateway with (south) RS 485 port and (north)  Ethernet Port
  3. Wi-Fi network to communicate the data to LMS System

Infrastructure at MCR:

  1. Standard Server for the El-Net SW to handle User Interface and Back endData management application.
  2. Central Display System to present (customized) screens like…
Date Time Zone Floor Location Auto/Manual Sensor Ref# Lux-Actual Lux-Set Value Light ON/OFF Status

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The main objective ofAdvanced Metering Infrastructure (AMI):

  1. To establish two-way communications between smart energy meter(end point) and Head End System (HES)
  2. To enable remote reading, monitoring & control of and electrical network through the energy meters.
  3. To serve as repository of record for all raw, validated andedited data.

AMI Architecture:

Smart cities episode 5 - Smart Metering

“Smart Metering System” functionalities:

    1. Remote Meter data reading at configurable intervals (push/pull)
    2. Time of day (TOD)/TOU metering
    3. Pre-paid/Post-paid functionality
    4. Net Metering/Billing
    5. Alarm/Event detection, notification and reporting
    6. Remote Load Limiter and connection/ disconnection at pre-defined conditions and or on demand conditions.
    7. Remote firmware upgrade
    8. Security features to prevent unauthorized access to the AMI including Smart meter & meter data, etc.
    9. Field replaceable Modular Communication Module (shall be bundled in meter housing)
    10. Pairing with Communication Module
    11. Geolocation Identification
    12. Time Synchronisation

Components of “Smart Metering System” functionalities:

    1. Network Management System (NMS):The NMS is responsible for the establishment and management of all radio mesh networks,
      1. The discovery of all nodes once deployed in the field,
      2. The overall system management,
      3. As well as security management of those millions of devices.
    2. Meter Data Acquisition System (MDAS)/Head End System (HES):The main objective of HES/MDAS is to acquire data from different end points and monitor them automatically from remote.
    3. Meter Data Management System (MDM):A software application that stores, validates, edits and analyses meter reading data prior to releasing it for integration into other operational systems of utility such as customer billing, load forecasting and outage management
    4. Smart Meters:
      1. Smart meters are advanced Electronic energy measurement devices with built-in communication module capable of two-way communications.
      2. Also, has the ability to measure the incoming and outgoing (Import and Export energy) flow of electricity (two-way energy measurement) from a specific location such as a customer‘s home or business.
      3. And has the capacity to collect information about energy usage at various intervalsand transmitting the data through a communication network to utility and receiving instructions from utility as well.
      4. In addition to conventional electronic metering functionality smart meters can undertake load switch activities for disconnecting/ connecting the load.

A few features of Smart Meter:

  1. The instantaneous parameters: The instantaneous parameters shall be continuously updated by the meter to the host computer. The energy values in the table shall be cumulative from the day of manufacturing or from the installation of the meter as the case may be. These shall be continuously updated and the last updated value shall be available for downloading as and when required.
  2. Time of Day or Time of use: First of all a passive calendar is set and that speaks about  the beginning of the time slot and its end time  similarly such time slots  to a max. of 16 slots on any given day are set. Then the passive activity calendar is set and that speaks about date and time stamp at which the passive calendar becomes active. The above process is meant for capturing consumption of energy parameters at different time slots of any given day and this would facilitate computing of energy consumption at different tariffs (slabs for peak hour loads) at different time slots across the day of activity calendar.
  3. Tamper detection features: Meter detects Tampers and Frauds such as Voltage missing, Voltage unbalance, Current unbalance, Current Reversal, Neutral Disturbance, Low PF, Magnet detection, Power on/off, etc. along with date and time of occurrence.
    1. Voltage Missing: Meter detects and records occurrences of Voltage missing and restoration of voltage. If a voltage missing is detected, it is known as voltage missing tamper.
    2. Voltage / Current Unbalance:  Meter detects and records occurrences of Voltage and Current unbalance. A phase voltage difference of 30% and a phase current difference of 30% are known as Voltage unbalance tamper and current unbalance tamper respectively.
    3. Current Polarity Reversal: Meter detects and records occurrences of CT polarity reversal. If a Current polarity reversal is detected, it is known as Current polarity reversal tamper.
    4. Neutral Disturbance: Meter detects and records occurrences of Neutral disturbance, if the voltage is more than 300 V, it is known as Neutral Disturbance tamper.
    5. Low power factor: Meter detects and records occurrences of low power factor, if the power factor is less than 0.2, it is known as Low power factor tamper.
    6. High Current: Meter detects and records occurrences of High current. If the Current is more than 65A, it is known as High Current tamper.
    7. Power on/off: Meter detects and records occurrences of Power off, if the voltage is less than a particular threshold of voltage, it is known as Power off tamper.
    8. Magnetic influence:  Meter detects and records occurrences of the presence of abnormal Magnetic influence near the meter that influences the functionality of the meter.
    9. Front cover opening Disturbance: Meter detects and records occurrences of Front cover opening, if any one tries to tamper the meter by opening the front cover of the meter it detects and logs the event in to its memory with time stamp.
    10. High/ Low Voltage: The meter detects voltage crossing above and below the set threshold voltage, for a persistence time then it logs the event with time stamp.

      The front cover open tamper information will be logged in a stay put type compartment and all other tamper information are logged on divided roll over compartment and first in and first out basis. Meters have provision to record the energy in forward direction in case of CT reversal.

  4. Demand side Management: Smart Meters provide load control outputs for Demand side programs and load shedding on Demand. Demand Control Register is programmed for Maximum demand that is allowed for consumption during the Demand Integration period (Normally 30 minutes / 15 Minutes). For Example:  if Demand Control register is programmed for 6 KW then load gets disconnected for either (1) the instant power exceeds 6 KW for more than 2 minutes (Demand Persistence time) continuously, or (2) If the raising demand reaches 6KW.

    Reconnection happens (demand reconnect time) when the raising demand is less than Demand Control Register value (in this example 6KW.)

    Assuming the Demand Integration Period (DIP) is 30 minutes and the raising demand reaches 6 KW in 20 minutes then the load gets disconnected  and remains in disconnected mode for the next 30 seconds (Demand Reconnect Time: DRT). After the DRT the load gets connected automatically.

  5. Security: When the meter is Security locked, only meter readings and Load survey data are accessible. No access of data that leads to change the functionality/configuration of the meter are allowed. The security system virtually eliminates the fraud / tampering attempts of the meter.
  6. Parameters for accounting and billing: The set of parameters identified for accounting and billing shall be generated by meter for each billing cycle and stored in the meter.  The set of data for last 6 billing cycles are stored in the meter memory. At the end of each cycle corresponding set of data shall be readable by host from remote.

Smart parameter list (measured & calculated) based on IS16444, IS13779, IS15959, & IS15884:

  1. Voltage parameter per phase:
  2. Current parameter per phase:
  3. Power Factor per phase:
  4. Frequency:
  5. Signed Active Power(+forward ; -reverse):
  6. Signed Reactive Power(+Lag;-Lead):
  7. Apparent power:
  8. Active Energy :
  9. Reactive Energy:
  10. Apparent Energy:
  11. Block active energy kWh(forward/import):
  12. Block apparent energy kVAh(forward/import):
  13. Block apparent energy, kVAh lag:
  14. Block apparent energy, kVAh lead:
  15. Block active energy, kWh export(reverse energy):
  16. Block apparent energy, kVAh export(reverse energy):
  17. Import active energy (Forward energy kWh):
  18. Import apparent energy(forward kVAh):
  19. Export energy (reverse energy: active kWh):
  20. Export energy (reverse energy: apparent kVAh):
  21. Maximum demand in kW(active maximum power):
  22. Maximum demand in kVA(apparent MD):
  23. TOD Maximum demand in kW (configurable time zones, maximum will be eight time zones):
  24. TOD Maximum demand in kVA (configurable time zones, maximum will be eight time zones):
  25. Cumulative billing count:
  26. Cumulative tamper count:
  27. Cumulative programming count:
  28. Average Power factor:
  29. Average Voltage:
  30. Average Current:
  31. Number of power failure events:
  32. Billing power on duration in min:
  33. Cumulative power off duration in min:
  34. Cumulative apparent energy, kVArh lag:
  35. Cumulative apparent energy, kVArh lead:

… to be contd

Learn more about applications by Smart Cities that are continued in the next episode...

#4 [Smart Cities Web Series] – FEW SMART CITIES

Episode-4-Smart Cities Web Series-few-examples

While the world is still on a wedge to decide whether to be a smart city too soon or not, A few pacers are already named & operating as the top Smart Cities of the world in terms of infrastructure, technology, automation, etc.


The Amsterdam Smart City initiative which began in 2009 currently includes 170+ projects collaboratively developed by local residents, government and businesses. These projects run on an interconnected platform through wireless devices to enhance the city's real time decision making abilities.

The City of Amsterdam claims the purpose of the projects is to reduce traffic, save energy and improve public safety. A resident developed app is Moby Park, which allows owners of parking spaces to rent them out to people for a fee. The data generated from this app can then be used by the City to determine parking demand and traffic flows in Amsterdam. A number of homes have also been provided with smart energy meters, with incentives provided to those that actively reduce energy consumption.

Other initiatives include flexible street lighting (smart lighting) which allows municipalities to control the brightness of street lights, and smart traffic management where traffic is monitored in real time by the City and information about current travel time on certain roads is broadcast to allow motorists to determine the best routes to take.


Barcelona has established a number of 'smart city' projects applications. For example, sensor technology has been implemented in the irrigation system, where real time data is transmitted to gardening crews about the level of water required for the plants. Barcelona has also designed a new bus network based on data analysis of the most common traffic flows in Barcelona, utilising primarily vertical, horizontal and diagonal routes with a number of interchanges. Integration of multiple smart city technologies can be seen through the implementation of smart traffic lights as buses run on routes designed to optimise the number of green lights. In addition, in an emergency, the approximate route of the emergency vehicle is entered into the traffic light system, setting all the lights to green as the vehicle approaches through a mix of GPS and traffic management software, allowing emergency services to reach the incident without delay.

Columbus, Ohio

In the summer of 2017, the City of Columbus, Ohio began its pursuit of a smart city initiative. It partnered with American Electric Power Ohio to create a group of new electric vehicle charging stations. Many smart cities such as Columbus are using agreements such as this one to prepare for climate change, expand electric infrastructure, convert existing public vehicle fleets to electric cars, and create incentives for people to share rides when commuting. Because autonomous vehicles are currently seeing "an increased industrial research and legislative push globally", building routes and connections for them is another important part of the Columbus Smart City initiative.


In 2013, the Smart Dubai project was initiated by Shaikh Mohammad bin Rashid Al Maktoum, vice president of UAE, which contained more than 100 initiatives to make Dubai a smart city by 2030. The project aimed to integrate private and public sectors, enabling citizens to access these sectors through their smartphones. Some initiatives include the Dubai Autonomous Transportation Strategy to create driverless transits, fully digitizing government, business and customer information and transactions, and providing citizens 5000 hotspots to access government applications by 2021. Two mobile applications, mPay and DubaiNow, facilitate various payment services for citizens ranging from utilities or traffic fines to educational, health, transport, and business services. In addition, the Smart Nol Card is a unified rechargeable card enabling citizens to pay for all transportation services such as metro, buses, water bus, and taxis.


Dublin finds itself as an unexpected capital for smart cities. The smart city programme for the city is run by Smart Dublin an initiative of the four Dublin Local Authorities to engage with smart technology providers, researchers and citizens to solve city challenges and improve city life. It includes Dublinked- Dublin's open data platform that hosts open source data to smart city applications.

Smart Cities Web Series episode 4 - few smart cities

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Madrid, Spain's pioneering smart city, has adopted the MiNT Madrid Inteligente/Smarter Madrid platform to integrate the management of local services. These include the sustainable and computerized management of infrastructure, garbage collection and recycling, and public spaces and green areas, among others. The programme is run in partnership with IBMs INSA, making use of the latter's Big Data and analytics capabilities and experience. Madrid is considered to have taken a bottom-up approach to smart cities, whereby social issues are first identified and individual technologies or networks are then identified to address these issues. This approach includes support and recognition for startups through the Madrid Digital Start Up programme.


In December 2015, Manchester's City Verve project was chosen as the winner of a government-led technology competition and awarded £10m to develop an Internet of Things (IoT) smart cities demonstrator.

City Verve is based on an open data principle that incorporates a "platform of platforms" which ties together applications for its four key themes: transport and travel; health and social care; energy and the environment; culture and the public realm. This will also ensure that the project is scalable and able to be redeployed to other locations worldwide.


Milan, Italy was prompted to begin its Smart City strategies and initiatives by the European Union's Smart Cities and Communities initiative. However, unlike many European cities, Milan's Smart City strategies focus more on social sustainability rather than environmental sustainability. This focus is almost exclusive to Milan and has a major influence in the way content and way its strategies are implemented as shown in the case study of the Bicocca District in Milan.

Milton Keynes

Milton Keynes has a commitment to making itself a Smart City. Currently the mechanism through which this is approached is the MK: Smart initiative, a collaboration of local government, businesses, and academia and 3rd sector organisations. The focus of the initiative is on making energy use, water use and transport more sustainable whilst promoting economic growth in the city. Central to the project is the creation of a state-of-the-art 'MK Data Hub' which will support the acquisition and management of vast amounts of data relevant to city systems from a variety of data sources. These will include data about energy and water consumption, transport data, data acquired through satellite technology, social and economic datasets, and crowd sourced data from social media or specialized apps.


International evaluation of Seoul: This is world’s number one city in municipal e-governance for seven consecutive times from 2003 to 2016 (Rutgers University, USA), Ranked 3rd in the world in the number of international conferences hosted (UIA 2015), Ranked 6th in the world in Global city competitiveness (Mori Memorial Foundation – Japan 2016), Ranked 8th among the world’s smartest cities (Forbes, USA 2016).

Smart cities web series episode 4 infographic-2
Focus of Indian Smart cities:

Quality of Life: To improve Livability, sustainability and economic development.

Transportation: New Public Bus stands at the periphery of cities to avoid entry of buses into the city. And up gradation of the existing bus stands. Widening of roads and anti-encroachment drives. Additional Parking stands for the public/Private 4 wheelers, 3 wheelers and 2 wheelers. And City surveillance center(s) to monitor the real time traffic using huge no. of Cameras.

Water availability in the city and reduction of Water wastage: 24x7 water supply to most of the wards in the city by providing possible no. of hand pumps, tube wells, OHTs along with necessary distribution network.

Solid Waste Management Programs: Increase in collection efficiency to about 90%, assisted by no. of GPS enabled vehicles. Vehicles are fitted with loudspeakers to create awareness on waste segregation. Door to door collection in all most of the wards. Land parcels identification for decentralized waste treatment facilities.

Safety and Security conditions in the City: To help overall crime rate reduction to a lowest %, N0. Of CCTVs to be installed at important junctions with control room at SP office. City should have No. of police stations including a few dedicated for women and a few dedicated to weaker section. Huge no. of LED Street lights to be installed for the coverage is improved by good %. And GPS enabled PCR van. Community & Cultural policing which includes formation of PINK BRIGDE, HAWK SQUAD for safety of girls and senior citizens. DIU (District Intelligence Unit) to set up for surveillance and vigilance. Traffic rules and safety awareness camps to be conducted. Women and Child Helpline No.: ex:  1800 345 6247 &: 1098.

Energy availability and reduction of outages in the city:  project funded through IPDS underway for underground cabling, and other infrastructural enhancements. 90% of households have electricity connections. Great focus to increase Power supply towards 65% and reduce T&D losses to very low % from 42% to 33%. Power supply to see a major improvement with average daily supply of 20-22 hours.  Government buildings with solar roof tops. Billing and Collection Efficiency 90%; Online Payment, Grievance Redressal System and response to be outsourced, every substation to be connected to at least 2 grid service station to prevent any breakdown.

Housing Situation in the City:  Initiatives to bridge housing gap, Online building plan approval system under e-municipality/Corporation time to be reduced to a couple of days. Online holding tax collections to be improved through rigorous efforts viz, digitization of records, introduction of online payment and special drives. Automated GIS base map reconciliation with municipal database.

Local government: committed to citizen centric governance and excellence in service delivery. An administratively efficient, accountable, responsive and transparent government departments through ICT based governance system and service delivery. City will institutionalize continuous engagement with its citizens in the decision making process. Enhance outreach of citizen centric services through ICT with effective grievance redressal system.

Smart cities web series episode 4 Infographic-3

… to be contd

Get the Essence & deep understanding of Smart Cities by understaing a few applications in the next episode.

Episode-3-Smart Cities Web Series-Platforms-Technologies

#3 [Smart Cities Web Series] – PLATFORMS & TECHNOLOGIES

Episode-3-Smart Cities Web Series-Platforms-Technologies

An overview on few of the platforms and technologies that have opened new ways to collective action and collaborative problem-solving.

Cloud-based services

The term is generally used to describe data centers available over the Internet to many users. Cloud computing is the on-demand availability of computer system resources, especially data storage and computing power, without direct active management by the user.

Key Characteristics:

Enables users to access cloud computing services using a web browser regardless of their location from anywhere or what device they use (e.g., PC, mobile phone).

Multitenancy enables a large pool of users sharing the resources thus allows Centralization of infrastructure in locations with lower costs (such as real estate, electricity, etc.).

Productivity may be increased when multiple users can work on the same data simultaneously, rather than waiting for it to be saved and emailed. Time may be saved as information does not need to be re-entered when fields are matched, nor do users need to install application software upgrades to their computer.

Reliability improves with the use of multiple redundant cloud computing sites, which makes the cloud computing well-designed, suitable for business continuity and disaster recovery.

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The Internet of things (IoT)

is the extension of Internet connectivity into physical devices that are embedded with electronics, Internet connectivity, and other forms of sensors, these devices can communicate and interact with others over the Internet, and they can be remotely monitored and controlled.

The definition of the Internet of things has evolved due to the convergence of multiple technologies, real-time analytics, machine learning, commodity sensors, and embedded systems. Traditional fields of embedded systems, wireless sensor networks, control systems, automation (including home and building automation), and others all contribute to enabling the Internet of things.

Applications of IoT devices:

Smart Home

A smart home or automated home could be based on a platform or hubs that control smart devices and appliances like, using Apple's Home Kit, manufacturers can have their home products and accessories controlled by an application in iOS devices such as the iPhone and the Apple Watch.

There are also dedicated smart home hubs that are offered as standalone platforms to connect different smart home products like, the Amazon Echo, Google Home, Apple's Home Pod, and Samsung's Smart Things.

Medical and Healthcare

IoT devices can be used to enable remote health monitoring and emergency notification systems. These health monitoring devices can range from blood pressure and heart rate monitors to advanced devices capable of monitoring specialized implants, such as pacemakers, Fitbit electronic wristbands, or advanced hearing aids.

Some hospitals have begun implementing "smart beds" that can detect when they are occupied and when a patient is attempting to get up. It can also adjust itself to ensure appropriate pressure and support is applied to the patient without the manual interaction of nurses.


The IoT can assist in the integration of communications, control, and information processing across various transportation systems covering most of the aspects of transportation systems (i.e. the vehicle, the infrastructure, driver, and user).

In Logistics and Fleet Management for example, an IoT platform can continuously monitor the location and conditions of cargo and assets via wireless sensors and send specific alerts when management exceptions occur (delays, damages, thefts, etc.).

Sensors such as GPS, Humidity, and Temperature sends data to the IoT platform and then the data is analyzed and then sent to the users. This way, users can track the real-time status of vehicles and can make appropriate decisions.

Building and Home Automation

IoT devices can be used to monitor and control the mechanical, electrical and electronic systems used in various types of buildings (e.g., public and private, industrial, institutions, or residential).

Industrial applications (IIoT)

The IIoT refers to interconnected sensors, instruments, and other devices networked together with computers' industrial applications, including, but not limited to, manufacturing and energy management. This connectivity allows for data collection, exchange, and analysis, potentially facilitating improvements in productivity and efficiency as well as other economic benefits.


The IoT can realize the seamless integration of various manufacturing devices equipped with sensing, identification, processing, communication, actuation, and networking capabilities. The IoT intelligent systems enable rapid manufacturing of new products, dynamic response to product demands, and real-time optimization of manufacturing production and supply chain networks, by networking machinery, sensors and control systems together.


A few IoT applications in farming are collecting data on temperature, rainfall, humidity, wind speed, pest infestation, and soil content. This data can be used to automate farming techniques, make informed decisions to improve quality and quantity, minimize risk and waste, and reduce the effort required to manage crops. For example, farmers can now monitor soil temperature and moisture from afar and even apply IoT-acquired data to precision fertilization programs.

Infrastructure applications

Monitoring and controlling operations of sustainable urban and rural infrastructures like bridges, railway tracks and on- and offshore wind-farms is a key application of the IoT. The IoT can benefit the construction industry by cost saving, time reduction, better quality workday, paperless workflow and increase in productivity.

… to be contd

Get the Essence & deep understanding of Smart Cities with few top smart city examples in the next episode.

#2 [Smart Cities Web Series] – FRAMEWORKS

Episode 2 - Smart Cities Web Series - frameworks

The main essence of the Smart City concept can be understood well by these four frameworks:

Smart Cities are classified based on the following frameworks:

  1. Technology Framework
  2. Human Framework
  3. Energy framework &
  4. Data Management framework.
Technology Framework:

The concepts of the Smart city rely heavily on the different combinations of the use of technological infrastructure. For example:

  • Digital city:

The Technology Framework ‘TFW’ combines service-oriented infrastructure and communication infrastructure to meet the needs of governments and their employees, citizens, and businesses.

  • Information city:

An information city could be an urban Centre both economically and socially speaking; The TFW collects local information and delivers them to the public portal; many inhabitants are able to live and even work on the Internet because they could obtain every information through IT infrastructures.

  • Intelligent city:

The notion emerges in a social context in which knowledge, learning process, and creativity have great importance and the human capital is considered the most precious resource within this type of technological city.

Human framework

Human infrastructure (i.e., creative occupations and workforce, knowledge networks, voluntary organizations) is a crucial axis for city development

  • Creative city:

Creativity is recognized as a key driver to a smart city.  Social infrastructures, like for instance intellectual and social capital are indispensable factors to build a city that is smart according to the human framework. These infrastructures concern people and their relationship.

  • Learning city:

Learning city is involved in building a skilled workforce. This type of city in the human context improves the competitiveness in the global knowledge economy: individually proactive city, city cluster, the one-to-one link between cities, and city network. That lead a city to learn how it should be possible and realistic to be smart through learning process followed by city workforce.

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Energy Framework

Smart cities use data and technology to create efficiencies, improve sustainability, create economic development, and enhance the quality of life factors for people living and working in the city. It also means that the city has a smarter energy infrastructure.

A smart city is powered by "smart connections" for various items such as street lighting, smart buildings, distributed energy resources (DER), data analytics, and smart transportation. Amongst these things, energy is paramount; this is why utility companies play a key role in smart cities. Electric companies, working partnership with city officials, technology companies and a number of other institutions, are among the major players that helped accelerate the growth of America's smart cities.

Data Management Framework

Smart city employs a combination of data collection, processing, and disseminating technologies in conjunction with networking and computing technologies and data security and privacy measures encouraging application innovation to promote the overall quality of life for its citizens and covering dimensions that include: utilities, health, transportation, entertainment and government services.

… to be contd

Get the Essence & deep understanding of Smart Cities with these frameworks in the next episode.

Smart Cities Web Series-Introduction

#1 [Smart Cities Web Series] – INTRODUCTION

Smart Cities Web Series-Introduction

If you consider the theory of cause & effect, we need to have a few thoughts about urbanization before getting onto “smart city".

Urbanization refers to the population shift from rural areas to urban areas. It is predominantly the process by which towns and cities are formed and become larger as more people begin living and working in central areas.

And Urbanization is relevant to a range of disciplines, including urban planning, geography, Sociology, architecture, economics, and public health. The phenomenon is closely linked to modernization, industrialization and the sociological process of rationalization.

smart city is an urban area that uses different types of electronic internet (internet of things: ‘IoT’) connectivity to collect the data from physical devices and everyday objects, and sensors, etc.  The data collected is processed and analyzed to monitor and manage traffic and transportation systems, power plants, water supply networks, waste management, crime detection, information systems, schools, libraries, hospitals, and other community services.

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The IoT network integrates ‘information and communication technology’ (ICT) and that allows city officials to interact directly with community and city infrastructure which helps to monitor what is happening in the city and how the city is evolving. ICT is used to enhance quality, performance, and interactivity of urban services and that reduces costs, resource-consumption and to increase contact between citizens and government. Smart city applications are developed to manage urban flows and allow for real-time responses. A smart city may, therefore, be more prepared to respond to challenges than one with a simple "transactional" relationship with its citizens.

Major technological, economic and environmental changes have generated interest in smart cities, including climate change, economic restructuring, the move to online retail and entertainment, aging populations, urban population growth and pressures on public finances.

Statistics by Arup Group:

Arup (officially Arup Group Limited) is a multinational professional services firm headquartered in London estimates that the global market for smart urban services will be $400 billion per annum by 2020. Examples of Smart City technologies and programs have been implemented in Singapore, Dubai, Milton, Keynes, Southampton, Amsterdam, Barcelona, Madrid, Stockholm, China, and New York.

Source: Wikipedia

… to be contd
Get the Essence & deep understanding of Smart Cities with the 4 types of frameworks in the next episode.