What is the Internet of Things? The Internet of Things (IoT) is a collection of physical objects that contain intelligence and sensor functions, as well as networks, servers, and services that interact with them. This is a trend, not a single industry or market. However, ARM's technical design can enable today's and future IoT applications and services to be everywhere and have real intelligence. It consists of an embedded microprocessor and a wired or wireless network, enabling these objects to autonomously sense their surroundings, communicate with other objects, and interact with Internet-based services and cloud-based applications. The Internet of Things function can be added to any physical object, such as clothing, jewelry, thermostats, medical equipment, household appliances, home automation, industrial control, and even light bulbs. This trend requires cost-effective sensing technology—sustainable use for years, not hours. These sensors can collect small amounts of data over a long period of time. ARM believes that the big data analysis used to achieve intelligence starts with small data. ARM's core technology creates sensors, controllers, and other smart devices embedded in the device. Last year, ARM's partners sold 8.7 billion chips, a large percentage of which were for mobile Internet applications. This has laid a solid foundation for ARM in the big data layer-through sensors, controllers and smart devices embedded in the device to provide companies with the small data needed to analyze big data.
The era of the Internet of Things (IoT) has arrived and has been applied in our lives today. Today's models focus on building management systems that control heating and lighting in offices, and the future Internet of Things will include billions of devices that are connected to each other and share data via the Internet. This white paper focuses on how to realize this vision and what difficulties we need to overcome and what elements we already have in order to build a smart world that fully realizes IoT connectivity. Finally, we will discuss how the Internet of Things provides diversified and differentiated products (to achieve these functions, a solid small data foundation must be established to derive big data at the top of the Internet of Things, and gain insights and form new applications and services ). This will have a certain impact on the way data is processed and the importance of energy-saving solutions.
History of the Internet of Things
In the 1960s, computing technology was born. The technology is mainly used for specialized applications-from weather forecasting to complex telephone exchange systems, and even nuclear weapons testing. Usually, individual applications require a lot of investment in capital, resources, and technology. The high-performance computing market has gradually grown around these early implementations, but the scope of application is still very narrow. At that time, the main consumers of the market were organizations that needed complex simulations and research with the help of supercomputing centers. The responsibility of the mainframe computing unit is to process the data. Since then, commercial computing with programming has become increasingly simple, and standard applications have begun to appear. The transformation of mainframes into smaller and cheaper microcomputers has expanded the market coverage of computing.
The next evolutionary steps are the evolution of microprocessors and personal computers (PCs), which extend the reach of computers to more small and medium-sized enterprises, homes, and schools. Later, with the advent of notebook computers, PCs tended to be mobile, and revolutionized the field of mobile phones, making them quickly evolve into a mobile computing platform. Today, we live in a world centered on mobile phones. We are connected to a dazzling variety of devices. Information sources are communicated through mobile phones. For many people, mobile phones have become their most important computing devices.
At the same time, the largely ignored microprocessor has spawned another complete market-embedded control. The microprocessor and memory are integrated into a chip, and the microcontroller is born. These cheap devices have quietly penetrated into people's lives. They are widely found in TV remote controls, video recorders (VCRs), air conditioning systems, automobile brake systems, and computer keyboards and hard drives. As consumer electronics devices have transitioned from analog to digital technology, they have spawned flat-screen TVs, MP3 players, DVDs, and home theater systems, as well as environmentally-friendly washing machines that have been optimized for water and laundry time. The connection of these devices to the Internet and other related things are collectively called the Internet of Things. The Internet of Things in the future will not only be limited to many of what we call smart today, but will include all the things that can be connected. These new connections may mean unprecedented connections, such as people, processes, intelligent data added to medical devices, buildings, lighting, and even connections between roads. This will bring us new business, new opportunities, new experiences and new services. This will be the next wave, and it will undoubtedly have a major impact on people, companies and countries. However, the Internet of Things has been around for a long time. For example, the ARM headquarters building that we stayed in early 2000 used electronic equipment when it was built in the 1990s. You can even sit in front of a computer on the other side of the world to control the air conditioner in each room. This is an early example of the Internet of Things. The heating, ventilation and air conditioning system (HVAC) has transformed from black-and-white terminals into today's easy-to-use consumer electronics devices, such as mobile devices or home-friendly touchscreen control systems with a more user-friendly interface. The Nest Labs thermostat is an example of the intelligent control device we have today. This kind of thermostat can “perceive†the temperature demand of the family, can stop heating when it is perceived that there is no one in the house, to save fuel costs, and can remind the homeowner to save energy, so that they can The thermostat can be controlled remotely.
Big data comes from small data
Amazon, Sina, Tencent and other companies collect millions of transactions and web click data, and analyze and summarize these data to find trends. These trends help drive business. These recommendations are all based on so-called big data. However, to analyze big data, you must have small data. In the above example, these data come from online browsing and purchasing. In the context of the Internet of Things, small data will come from sensors, controllers and other embedded intelligent devices based on ARM technology.
For consumers, the core of the Internet of Things is personal application, providing convenience and promoting health (also known as "quantified self"). It is a movement that integrates technology into the data collection process of personal daily life. Data collection involves ingestion ( Such as food intake, surrounding air quality), status (such as mood, excitement, blood oxygen content) and behavior (including psychological and physical). Such self-monitoring and self-aware technologies combine wearable sensors (EEG, ECG, video, etc.) with wearable computing technologies (such as Nike FuelBand, Runkeep mobile applications, Withings scales, etc.) The following is an example of how to use embedded smart devices to find parking spaces in a busy city. SF Park (business coverage in San Francisco) and Streetline (business coverage in Germany, the United Kingdom and the United States) can collect and distribute real-time information about parking spaces in streets and parking lots. Not only does it save the driver the trouble of finding parking spaces, but it also reduces traffic congestion. On the other hand, it enables operators to reduce or increase the parking meters of parking meters and parking lots accordingly according to the demand for parking spaces in various areas. Are these small data used by ARM Cortex? -M3 processor parking position sensor (battery driven, can run continuously for several years) is generated. Smart cities can promote this parking optimization model to form a smart infrastructure covering the entire city, thereby saving money, reducing carbon emissions and improving the quality of life. These pioneering large-scale cost-saving deployments can balance the infrastructure costs of the public sector's long-term planning cycle while reducing pollution. This begs the question, how to share data? What standards and formats can be trusted? If these problems are not resolved, it will be difficult for the Internet of Things to form the scale required to operate across all markets.
Sharing data requires trust
When discussing data exchange, an obvious question is-is it safe? My answer is "How much do people care about sharing or tracking data?" Today, Google can tell you: Where do you live? What do you like? what is your hobby? And sell these data to advertisers. For now, people don't care about it. Google provides some privacy settings to avoid such sharing, but how many people care about it? I believe most people don't care about these things. Today, Google scans your email text to send advertising messages, and Facebook uses facial recognition to push ads to cat owners. Many people seem to be accustomed to this.
Let me give two examples that provide different benefits (health and monitoring). The "Driving with caution" car insurance company promises you that if you agree to install a tracking device in the car that can return information such as destination, speed, travel time, etc. (so that the company knows that you are a safety-conscious driver ), You can reduce your premium. Conversely, once you no longer drive responsibly (such as driving late at night or when you are unresponsive), the premium will increase.
The BodyGuardian remote patient monitoring system from PrevenTIce can collect ECG, heart rate and activity level data with human sensors connected to the patient ’s chest and send it to the doctor via mobile phone to detect and monitor arrhythmia. The system was developed by PrevenTIce in collaboration with Mayo Clinic to establish a continuous connection between the patient and the medical team.
Most small data today is stored in different data silos. The challenge we face is how to share data for big data use. What if I want to share my weight data with a doctor? I may need a different device, and this little data is often "bundled" with a device or tied to a service in a proprietary island. The lack of communication between the isolated islands restricts the development of the Internet of Things.
However, if your driving style is wild, insurance costs will rise. Are you willing to share these data with life insurance companies to facilitate them to increase your life insurance premiums? Who owns the data, who can share it with, and for what purpose?
If data sharing can be achieved among several service providers instead of confining data to isolated islands, the Internet of Things will play a bigger role and form a larger scale. These examples map out privacy issues and how e-commerce optimizes data sharing.
The future Internet of Things will be based on trust, that is, to generate trusted data from the device, obtain information from the device and its surroundings, and provide services you trust based on the data. If an insurance company wants to determine that the monitored car is yours, you must trust the data it receives, and you need to be sure that the data is provided to someone you trust. This makes the Internet of Things beyond the scope of regulating the temperature of the building, but rises to the scope of ensuring the efficient operation of the building and sharing data. This brings the Internet of Things from control to value-added.
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