Things, Things consumer, industrial networking and cloud computing, big data service comprehensive analysis
First, the basic concept of Things
1.1 Definitions
Things (Internet of Things) refers to the ubiquitous (Ubiquitous) terminal devices (Devices) and facilities (Facilities), comprising including "internal smart" sensors, mobile terminals, industrial systems, building control systems, smart home facilities, video surveillance systems, and "external enable" (enabled), such as RFID affixed a variety of assets (assets), carrying the wireless terminal and personal vehicles and other "smart objects or animals" or "smart dust "(Mote), accomplished by a variety of wireless and / or wired long distance and / or short-distance communications network interconnection (M2M), application of large integration (Grand integration), and (calculated bovine) SaaS cloud-based operation, etc. mode, internal network (Intranet), private networks (Extranet), and / or the Internet (Internet) environment, the use of appropriate information security mechanisms to provide real-time online monitoring security control and even personalized, location traced, alarm linkage , command and control, plan management, remote control, security, remote maintenance, online upgrades, statistical reporting, decision support, the leadership of the desktop (centralized Show Cockpit Dashboard) and other management and service functions, to achieve the "Everything" and "efficiency, energy saving, safety, environmental protection" and "tube, control, camp" integration.
1.2 application scenarios
1) Application in Agriculture of Things
Standardized production monitoring of agricultural ①: the agricultural production is the most critical temperature, humidity, carbon dioxide content, soil temperature, soil moisture and other real-time data collection, real-time data grip hold various agricultural production. ② animal identification traceability: to achieve the integration of all aspects of process monitoring, to animal breeding, vaccination, quarantine, and effective combination of supervision, security incidents animal disease and animal products for fast, accurate and traceable process. ③ hydrological monitoring: including traditional coastal pollution monitoring, line testing ground, satellite remote sensing and manual measurement as a whole, to provide a unified data collection for the water quality monitoring, data transmission, data analysis, data publishing platform, lakes and disaster observation mechanism studies provide experimental validation and pathway.
2) Application in Industry Things
① elevator security management system: This system collects lift sensor installed in the elevator by the periphery of the normal operation, rush to the top, power outages, and other people off data, via wireless transmission module and to transmit data to the IOT service platform. ② transmission and distribution equipment monitoring, remote meter reading: based on a mobile communication network, all power and power flow information points receiving power point current and voltage information, quality information and the power measurement device state information field real-time acquisition and remote power load control. ③ business card: access control based on RFID-SIM card, small medium and large enterprises and institutions, and consumer attendance management system; campus card and student information management systems.
3) was applied in the service industry in networking
① Personal Care: people who can install different sensors, to human health parameters are monitored and transmitted in real time to the relevant health care centers, if there are abnormal, medical care centers through mobile phone alerts. ② Smart Home: computer technology and network technology, including various types of consumer electronic products, telecommunications products, information appliances and smart home, complete control of home appliances and home security functions. ③ intelligent logistics: data transmission path provided by the GPRS / 3G network, the communication stream with the vehicle-mounted terminal logistics company's control center, remote vehicle scheduling, automated warehouse management. ④ mobile e-commerce: to achieve mobile payment, mobile ticketing, vending and other functions. ⑤ airport intrusion prevention: laying sensing section, covering the ground, fences and low-altitude detection, to prevent the crossing of persons, illegal immigration, terrorism attacks and other aggressive invasion.
4) Application of the utilities for the Internet of Things
① Intelligent Transportation: By cPs positioning system, monitoring system, you can view the status of vehicle operation, the vehicle is expected to focus on state time to reach the crowded and vehicles. ② safe city: the use of surveillance cameras, intelligent analysis to achieve image sensitivity and interact with 110, l19, l12, so as to build a harmonious living environment safe city. ③ urban management: the use of geocoding technology, urban classification components, sub-management, enabling precise positioning of urban management issues. ④ environmental monitoring: The environmental monitoring information collected by conventional sensors, transmission via the wireless transmission device to the monitoring center, real-time monitoring and rapid response. ⑤ health care: telemedicine, drug search, health surveillance, emergency visits and video surveillance.
From the perspective of promoting economic development is concerned, as another wave of information technology industry after computers, Internet, mobile communications, networking is expected to become the engine of economic growth in the post-crisis era, is known to be the next one trillion of communication services. The development of things to the operators to bring great opportunities and challenges can be expected, with the further development of the Internet of Things and mature market, telecom operators will fully reflect the advantages, while factors such as saturated voice market also contributed to telecom operators transfer direction thereof to the network.
Second, the basic concept of consumption of Things
2.1 Definitions
With the concept of things deep into all walks of life, the development of networking technology, according to the service industry, we divide four plates serve as industry, agriculture, and urban consumption, the same time, consumption of things now here. Things Consumption (CIoT) is a class of consumer applications of things, we are usually the most contact with the program, and use cases collectively set of devices. Intelligent home as the representative of the consumption of things play an important role in the whole Internet of Things industry.
2.2 application scenarios
Data show that the current consumption of Things plate, the smart home accounted for about 36% of the total scale and the accounting section also increasing, followed wearable equipment sector. We follow the "Internet of Things Industry Roadmap 2.0" in the equipment manufacturers, solution providers and operators to do a simple division of the sort of things the current consumption of the firm's major business forms. Equipment manufacturers provide smart terminal R & D and production, such as Chinese rice production of smart bracelet or smart watches; solution providers provide a platform for intelligent systems or solutions, such as Huawei HiLink smart home connection management platform, and graffiti technology to provide intelligent families to solve program; service providers based on large amounts of data generated by smart terminal, and better services for consumers, such as Jingdong smart refrigerator, a long time by learning to understand consumer habits, can automatically remind consumers need to be supplemented according to state what type of refrigerator food, by providing information to the user or information-based services business model.
Third, the basic concept of the Internet of Things industry
3.1 Definitions
The industrial production process of things every step, the data terminal device to become full range underlying data acquisition, and data analysis and deeper level mining, to improve efficiency, optimize operations. Internet industry can not be simply interpreted as the Internet industry, if only the industry and the Internet two key words to understand the split easily be understood as used in the Internet industry, is still understood the concept of the Internet. The industrial base of things can be understood as a matter of networking industry. On the other hand, there are also differences between the intersection of both these concepts and Industry 4.0 Industrial and other things. With deep integration of industrialization and information technology, internal demand is increasing interoperability, through the access network and then to improve product quality and operational efficiency needs more intense, industrial things (IIoT) came into being.
3.2 application scenarios
High-performance valve manufacturer, for example. In the past, managers get off to the warehouse only after the requirements of the new stock, and someone needs to be manually counted. New parts orders sent to suppliers by fax or express mail, each end also need a few people with paperwork and accounting.
Today, the same company can be obtained more movable inventory check, thanks to industrial networking technology, if equipped with a radio frequency identification (RFID) pallet tracking and calculating the number of parts warehouse conventional camera and a weight sensor. These data integration with ERP and other software systems. When the supply of certain components drops to a certain threshold, the system will automatically submit the order to the supplier to supplement. Employees rarely need to participate under orders to speed up shipments throughout the supply chain, and reduce the demand for labor to replace the previous manual, high-touch process.
Things to bring industrial efficiency can be extended to transport the finished product of the valve. Day by truck drivers to check the list of phone booths and the paper has passed. Now the company's IT system optimization model to determine the most efficient fleet usage and track products throughout the country, the feedback in real-time transportation data to headquarters, and through mobile applications or drivers that connect to other devices on the network's immediate transfer to . RFID-enabled pallets to be tracked when leaving the warehouse and loaded onto a truck and automatically registered in the reception center customers after delivery.
Board sensors of an electronic part logging apparatus (ELD) system, monitoring vehicle speed and driving time, and even to monitor a single frequency driver uses the brake, which helps to save fuel, to improve the safety of a driver and reduce the idle resources. If a truck driver to perform dangerous maneuvers or driving too long, the system will alert the driver and inform the dispatcher. In addition, ELD comply with federal monitoring requirements for drivers, the drivers had to replace paper logs need to fill every day.
Things can achieve better industrial fleet maintenance. Board sensors into a truck repair shop will not carry out regular maintenance, but can alert the fleet manager has encountered a problem specific vehicle. The truck can be fixed or re-assigned to easier driving route, thereby reducing maintenance and emergency transportation delays.
Fourth, networking and cloud computing, big data service relationship
Things are all things Internet, Internet-based providing people with more convenient, fast service, Internet-based things first, the lowest level of data collection equipment up for people to analyze and process. Cloud services is due to the large data products and gradually, when more and more industries by landing networking technology and applications, networking and data-centric, summarizes the characteristics of various types of data and the Internet of Things and better select a different networking technology for fast and efficient implementation.
Things to expand the application of the Internet, the network is not so much things, say things are not as good as services and applications. Therefore, the application of innovation is the core of the development of things to the user experience as the core of innovation is the soul of the development of things. Things roughly divided into the following levels: perception layer, network layer, application layer.
Sensing layer corresponds to the human senses and nerve endings, for sensing a variety of data collection applications and environments. Including temperature, humidity, velocity, position, vibration, pressure, flow, and other kinds of gas sensors. Sensitivity and high precision, low power consumption, may be required for the wireless transmission of the sensing layer.
The network layer corresponds to the human nervous system, for transmitting the data. It includes a variety of wireless communication technologies and standards, such as Zigbee / BLE / Wifi / NFC / RFID / LTE and the like. Low-power, wide-area coverage, more connected is the development direction of the wireless network. Currently, the new communications technologies and standards NB-IoT, LoRa, eLTE-IoT are heading in that direction. 5G future will replace many of the current wireless communication technology, dominate the arena.
The application layer corresponds to the human brain and the reaction indicates reverse control output by an instruction. The device management, environmental monitoring, industrial control.
Things object thereof is connected has two meanings: First, the core and things still based Internet, extension and expansion of a network based on the Internet; Second, the UE to the extension and expansion of the article any article rooms, communication and information exchange. Things is an extension of the Internet, information technology, remote control and intelligent network management. It includes all of the resources on the Internet and the Internet, the Internet is compatible with all applications, but things all the elements (equipment, resources and communications, etc.) are personalized and privatization. Things to expand the application of the Internet, things are not so much a network entity, as it is services and applications.
Networking, cloud computing, mobile Internet, intranet vehicles, mobile phones, tablet computers, personal computers and various sensors around the corners of the planet, are data source or bearer, including logging networks, radio frequency identification (RFID), sensor networks , social networks, social data, Internet and text files, Internet search index, call detail records, astronomy, atmospheric science, genomics, bio-geochemistry, biology, or other complex interdisciplinary scientific research, military reconnaissance, medical records, photography Archives video Archives, a large-scale e-commerce.
Currently a lot of things in the cloud server deployment, the provision of services through the application layer of cloud computing. Cloud computing can be considered include the following levels of service: Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS).
Cloud computing, big data and Internet of things has a close relationship, corresponding to the Internet of Things sensory and motor nervous system. Cloud computing is a core set of Internet hardware and core software layer, as well as the central nervous system budding Internet. Big Data represents the Internet information layer (marine data), the Internet is the basis of wisdom and awareness generated. Including things, the traditional Internet, in a steady stream of large data layer convergence and receive data to the mobile Internet Internet data. Cloud computing and Internet of things to promote the development of big data.
Cloud computing equivalent of the human brain, is the nerve center of things. Cloud computing is based on the increase of Internet-related services, use and delivery models, usually involving dynamically scalable and often virtualized resources are provided through the Internet. Currently Things servers deployed in the cloud, the provision of services through the cloud computing application layer.
Amazon was the first to realize the value of service companies, which serve the company's internal infrastructure, platform, technology, mature market, and provide various services, has thus become the global market leader in cloud computing.
Big data equivalent to the human brain from primary school to university knowledge massive memory and storage, and this knowledge only through digestion, absorption, re order to create greater value.
Big Data is a large scale far beyond the acquisition, management, analysis of the data collection capabilities of traditional software tools database with vast amounts of data size, fast data transfer, a variety of data types and values of the four low-density characteristics.
Big Data analytics is often associated with cloud computing together, the strategic significance of big data technology is not that huge master data information, and that these data contain meaningful for specialized treatment, that is to increase data processing capacity, achieved through data processing value-added. From a technical perspective, big data and cloud computing is like a coin. Big Data can not be bound to a single computer processing, must be distributed cloud architecture, features a massive data distributed data mining, but must rely on cloud computing distributed processing, distributed database and cloud storage, virtualization technology, data mining grid, scalable storage systems. If the data is compared to a big industry, the key to this industry is to improve the profitability of the data "processing capacity" through "process" to achieve "value-added" data.
From a technical point of view, as a close relationship between the front and back big data and cloud computing is like a coin. Big data can not necessarily be treated with a single computer, it must adopt a distributed architecture. It features lies in the massive data distributed data mining. But it must rely on cloud computing distributed processing, distributed database and cloud storage, virtualization technology.
Things sensor large cloud data combined to provide a sensor, providing a reaction conveniently carried out at a live data to provide a large office. With the continuous development of things, operators promote the integration of networking and cloud computing, in order to achieve rapid transformation and upgrading of the communications industry to do things, cloud computing innovative applications for the carrier, on people's basic needs and public safety intelligent protection, follow the scientific concept of development, follow the development of the natural law, the development of new environmentally friendly low-carbon energy sources, making the modern water, electricity and other industries related to business and the public become intelligent, meet people's needs.