The development of communication technology has shaped a transition into a new data processing environment where more and more devices are being connected through a continuously expanding network. With further WiFi usage coupled with 5G communication, the scope and scale of the Internet of things will reach even further beyond the capability of previous generations. More devices will be able to transmit, collect and process more data effectively.
In this blog, we will take a look at the new applications emerging from the Internet of things and discuss what technologies are required to meet their needs.
A “smart home” refers to a private residence that supports automation through the communication between electronic devices. Data can be collected and monitored through environmental sensors which then can lead to greater control or automated responses, increasing the efficiency and safety of the smart home. These devices are able to monitor household electrical appliances, as well as the usage of water, electricity, and gas throughout the residence. Current applications in a smart home include, but are not limited to:
Lighting, heating, ventilation and air conditioning (HVAC); the ability to monitor and control energy usage throughout the home
Security; the accessibility of residents to view surveillance cameras over the internet and the ability for doors and windows to be locked remotely for improved security
Gas leakage and smoke detection; the increased safety and prevention of various accidents through sensor monitoring of CO2, smart meters, and other peripherals.
Pet activity Monitoring; Pet activities can be monitored over the internet, with the capability to also verbally or visually interact with the pet through various devices.
In addition, further transformation and growth in smart home automation is being pursued with the development of home gateways and artificial intelligence control devices, including voice recognition gadgets (e.g., Amazon Echo). With the monitoring and automation of smart devices, many accidents become easily preventable and the efficiency, safety and security of homes are fostered.
When similar devices in the smart home are applied to commercial buildings; in addition to preventing accidents – an exponential amount of energy and natural resources can be saved. More sensors and controllable devices (such as lights and air sensors) can be installed in larger buildings to produce drastically more data in comparison to a smart home. Although applications are similar to smart homes, larger buildings may have dozens or more floors with considerable amounts of data from the multitude of sensors that must be transmitted and processed.
With the development of communication technologies that can measure power consumption in real time, smart grids have become feasible. To collect the power usage from many devices, the data process and control becomes the core focus of this technology.
The real-time measurement for expected power has always been difficult to implement; always accounting for and generating 10% more power than the predicted maximum load. When the data is collected from consumers in real time in terms of power consumption, the power can be produced with optimum efficiency. By optimizing the power production, the use of fossil fuel is reduced; in turn helping to reduce carbon dioxide pollution.
It is also possible to flexibly reallocate the electric power supply lines to power plants in areas with high usage in real time. For consumers, power costs can be reduced by minimizing the use of electric power in a high-power consumption period and by setting the electrical devices to operate in a time period sufficient for power supply.
A “smart city” is a city in which the physical infrastructures (i.e. buildings, roads, and facilities that control power, water, and gas) are connected to the internet, where data is communicated instantaneously to provide real-time urban services to residents and visitors. To achieve this, a number of sensors are attached to the facilities, which are connected to the network, where data is collected and various services are initiated and executed based on that data.
Applicable areas with smart city are as follows:
Solutions for traffic problem; reducing traffic flow by sharing information of congested roads and controlling traffic signals according to real time traffic volumes.
Crime Prevention and Security; Preventing and taking Instant actions to crime based on CCTV data
Disaster Response; Based on the alert system, the instant response system for earthquakes, fire and weather changes
Saving energy and resources; Energy and resources can be saved by monitoring the power and water consumption throughout the city.
Industry 4.0 creates what has been called a “smart factory”. A smart factory is one which has a great deal of sensors installed in its facilities and machines. Also, the smart factory collects and analyzes the data in real time and utilizes it in order to maximize business profits.Smart Factories provide immense amount of data that make it possible to operate facilities that automatically optimize resources and production volume. The challenge lies in how to manage the volume of data.' Click To Tweet
Smart factories differ from simple factory automation. Simple factory automation is automated and optimized only for each individual unit process. The individual processes are not linked to other processes throughout the facility. However, in smart factories; all data is connected simultaneously across all processes and platforms in the plant. In addition, it is possible to integrate the sensor data and management data of ERP (Enterprise Resource Planning) and MES (Manufacturing execution systems), so that management judgement can be reflected directly to the production equipment in the factory.
With Smart Factories, it is possible to operate facilities that are automatically linked to resource conservation, utilization rate improvement, production volume control and management strategy. The challenge however, comes from how to manage the large amounts of data generated from the various devices and sensors.
Big challenges for data processing in the
There are several challenges that must be addressed in the various applications of the Smart era. These challenges include massive real-time data processing and wired/wireless networking that seamlessly connects large amounts of data. The large volumes of data generated and processed through the internet is time series data. The time stamp for each data generated is always included alongside the data. Once the data is generated, it is not altered or updated for later analysis, but accumulates over time. It is necessary to manage this data that exceeds trillions of recorded entries from smart factories integrated in large manufacturing industries.
Hence, to handle the large amounts of data, a new data processing platform for time series data in Smart Era is required, Old RDBMS simply are inadequate.