Information and Communication Technologies provide the collection, storage, processing and transmission of information (voice, data, text and images) and related services via hardware, software, networks and communication tools.
Thanks to the developments in ICT systems, the physical, economic, cultural and political elements of new technologies and cities are changing. Along with this:
- The next generation of integrated hardware,
- Software applications,
- Network and communication technologies are emerging.
These technologies should allow for the generation, interpretation and use, transmission and sharing of smart city targets. In addition, ICT in a smart city architecture has a horizontal structure that includes application services such as city administration, education, health, transportation and public services.
- All smart urban applications are based on ICT
- Facilitate urban life with new Technologies
- Ensuring interoperability and standardization
- Enabling the spread of open data
- Efficient and efficient resource utilization and savings
- Opportunities for digitalization
- Management of Devices Included in IT Infrastructure
It is the management and full manageability of devices under the management of IT on common policy and baseline. Ex: Data center management software, network management software, system and client management software
- End Access Devices (Sensors, RFID, Barcode, etc.)
Sensors and terminal devices are capable of transmitting data or responding to requests by means of inter-company or top-down / down-link technologies. Ex: RFID, LAN, WPAN, LPWAN
- Inter-Device Management Included in IT Infrastructure
In many applications, data transfer between two devices is required. When the data is transferred from one end to the other end, the receiving side receives the received data and this field is processed and understood, and the communication is managed by certain protocols. Ex: Communication over protocols such as ModBus, M-Bus, Profibus, DLMS, MQTT, TCP, FTP, HTTP.
- Smart Data Center
By centralizing IT management services and automating processes for a smarter data center, IOT and analysis are used to increase business agility. Ex: Monitoring and analysis of all VM equipment, Smart PDU and DC management systems
- Cloud to The Edge
Edge computing is a method of optimizing cloud computing systems by performing data processing near the data source and at the edge of the network. Connection and latency constraints, bandwidth constraints favor such business models. Edge computing encompasses a wide range of technologies including wireless sensor networks, mobile data acquisition, mobile signature analysis, peer-to-peer networking, and local cloud / sis computing and grid computing. Ex: Distributed data storage and retrieval, autonomous self-healing networks, remote cloud services, augmented reality.
- Hybrid Cloud Computing
Hybrid Cloud technology is a cloud-based computing system that combines private cloud-based systems with public cloud-based systems and allows these systems to work together. The goal of Hybrid Cloud is to bring together all the information, software, applications and other data on different cloud services, enabling companies to automatically access all of these data and provide a better manageable information system. Ex: Amazon Web Services as a service (IaaS) platform, such as Microsoft Azure or Google Cloud Platform, can be implemented through a public infrastructure, a private cloud facility, or through a dedicated private cloud provider.
- Data Sharing / Integration
Data integration allows you to combine data from different sources and present a unified view to users. Ex: Database, large data, web service integrations
- Data Redundancy
Existing, active, and critical data is hosted across scenarios such as disaster, corruption, error, and backup in different physical environments. Ex: Sensor redundancy, network redundancy, database redundancy, VM data backup systems
- Enhanced Analysis
Enhanced analytics is a strategic field that uses machine learning to automate data preparation, predictive analysis and sharing for a wide range of business users, operational employees, and citizens. Ex: Using machine learning in large data analysis.
- M2M (Machine Learning and Deep Learning Platforms)
It means direct communication between devices that use any communication channel including machine, wired and wireless. Ex: Inter-sensor communication, health applications, industry applications.
- Standards and Protocols Specific to Smart Cities
Smart City-specific standards and protocols are common ways of doing things efficiently and better, which are agreed upon in the work of establishing, operating and maintaining cities, managing processes, providing services, adapting them. Ex: Ziegbee, CoAP, Glowpan, LPWAN etc. for sensor device connections, sensor hub connections, sensor internet connections (WAN), low power connections, data transfer etc.
- IoT Inventory Optimization
Internet of Thing offers a wide range of functionality for Internet software applications, predictive maintenance and service, smart inventory, connected device analysis, sensor and business data integration and more. Ex: Remote monitoring of IOT devices, device information, accessibility, management of end system integration features can be managed on a platform.
- IOT Interface Platforms
Middleware connects different, often complex, and existing programs that are not designed to connect. The essence of the Internet of things makes it possible to connect anything and transmit data over a network. Middleware connects different, often complex, and existing programs that are not designed to connect. The essence of the Internet of objects makes it possible to connect anything (any object) and transmit data over a network. Middleware is part of an architecture that provides connection for a tremendous number of different things, providing a layer of connectivity for sensors and application layers that provide effective communication and services between software. Ex: MTSoft, Oracle, RedHat and WSO2 are among the companies that offer IOT middleware software. These products provide API management as well as basic messaging, routing and message conversion. More comprehensive IOT platforms include intermediate software with sensors and network components.
- Network Access
Network access is part of the telecommunications network that allows the user to access telecommunications services. Different parts of the access network are connected via vertebrates. These vertebrates form the core network. The communication infrastructure of the creatures can consist of the networks and the vertebrae that these networks join together. Examples; (xDSL, FTTx, GSM, HSPA, 5G, LTE, PLC …)
- Satellite Communication Infrastructure
Airborne and completely terrestrial, satellite-independent satellite systems are the major enhancements to the principle of uninterrupted compared to other communication infrastructures. Satellite services support space and satellite space as well as other areas of activity and interdisciplinary work.
- Wireless Network Communication Infrastructure
Wireless local area network (WLAN) is a flexible communication system that uses air (RF) technology to exchange information. It is a type of connection that is made with wireless devices and equipment between buildings, especially when terrain conditions are difficult, when there is no telecom infrastructure or when there is not enough cable distance.
- Fixed Communication Infrastructure
Fixed and wired communication systems are used to transfer data, video and audio information from one place to another.
- Mobile Communication Infrastructure
High-speed wireless data transmissions are made possible through networking technologies such as LTE and 5G. Thanks to the LTE feature, IP cameras can be installed in remote locations and image broadcasts can be obtained instantaneously and quickly.
- Cable networks (Fiber Optic, Coaxial Cable, UTP / STP)
Such networks are made up of all communication cables and passive components used by the organization for data transmission (connection boxes, patch panels, etc.). At the same time, these networks are the physical basis of the corporate communications network. It extends from the connection points of the external networks (eg ISDN connection of a telecommunication provider, DSL connection of an internet provider) to network terminal points (network connections of end user devices, servers, etc.).
- Network Transfer
Networking with high performance and interoperability is critical for many sectors, including innovative IT applications. These networks offer high-speed, bandwidth, low latency network transports with the latest technologies such as SDH, DWDM, and Microwave. Enterprise intelligence network transmission systems with Ultra Broadband Example: SDH, DWDM, Microwave etc.
- Distributed Object Model (DOM)
Smart City is a structure designed to create IT architects, to ensure communication between subsystems (different model layers, etc.). As a point of view, global or wide area network structures, regional networks and local networks can be considered. With such approaches, communication and related standards and protocols can be centralized and multi-layered at the heart of the IT architecture. Our Smart City IT architecture model includes layers such as communication, data and analysis.
- Semantic Web
The semantic network is an internet system that aims to make web content easy to find, share and integrate information not only in natural language but also in software that can be understood, interpreted and used by related software. Instead of search engines that crawl and index each website in a separate format, they can provide interoperable information for websites to be published in a ready-made and combinable format for processing by machines.
- New Generation Edition (3D, 4D)
3D printers make 3D printing with width, height, and height entries. 4D printers also add the dimension ‘time’ entry, which is the largest, height, height entry. In the deformation function, there are variables such as time, light, temperature, humidity. The product you print using the smart and programmable material in the 4D printer can adjust itself according to the ambient conditions without any external intervention. The items you order in the future will arrive in a tiny package, and when you apply the variant (temperature, water, etc.) to this palette deforming function, that tiny package will turn into the item you want.
- Autonomous Robots
Robots learn with machine learning, computer image processing, navigation, along with artificial intelligence, adapts and evolves. They are robot systems that have tasks that vary according to the field of application, and that perform their respective tasks by going around in their own environment. These types of robots can be used to reduce the losses in field scanning work for military and civil environment cleaning, mine screening and search-and-rescue activities.
- Social Robotics
Social robots are robots that interact with people or other autonomous physically integrated systems by following social behaviors and role-related rules. Like other robots, the social robot is physically organized. When it comes to social robot analysis, they use the mechanisms of being able to perform, hear, see and perceive a task assigned to them. Social robots, which have the ability to be adapted to any activity or institution, are able to communicate in different languages on demand.
- The cost advantages of these technologies that are not common today cannot be achieved yet
- Low R&D rates and insufficient investment by entrepreneurial firms
- Perspectives of top management of organization to the new generation technology
- Insufficient competence in subject areas
- Interoperability legislation and culture not yet resident
- The legal infrastructure for new technologies is not yet established adequately