First of all, we must make it clear that the sensor network is the most basic and bottom-level part of the Internet of Things, and its application will be the biggest difference between the Internet of Things and the Internet. The Internet is a network based on people, and our information is collected and analyzed by people in a sense. In the era of the Internet of Things, electrical appliances themselves can also complete the whole process. Let's follow the sensor editor to learn about the relevant content.
Before an appliance breaks down, the sensors installed inside it will detect the abnormality and proactively report the problem. A spare appliance will also be installed for you. When you get home, you will be notified that the appliance has been returned for repair. Most importantly, you don’t have to worry about your personal data being lost or leaked, because your data is basically stored in the cloud server, and the spare appliance works just as well as your old one.
Of course, the data collected by sensors is basic and simple, but once these data are applied, the effect they produce is huge. This is what we now call big data. The application of big data is to develop and use various related data. The basis of these data is, first, the rich resource library of the Internet era, and second, when the future Internet of Things era really comes, the data generated by networked devices and machines is not at the same order of magnitude compared with the current Internet. At present, the big data of the Internet cannot be used well, and it can be seen that there is still a long way to go in the Internet of Things era.
What are sensors spying on?
The basis for all this data is the basis of the Internet of Things: ubiquitous sensors . These sensors are not only in your home, but may be used more in public places and municipal facilities. For example, vending machines, bus stops, traffic lights, etc. It is almost inevitable that our lives are exposed everywhere, but this does not mean losing privacy.
My personal opinion here is that many organizations and institutions are not that interested in your privacy, but the value behind the data. For example, your sleep status and exercise volume are private to you, but are just a sample for medical research, and may be a reference indicator for your insurance contract for insurance companies, but they are relatively more valuable to your community doctor or psychologist.
Many times, these data are used to provide services for us. Some of them are actively sought by us, such as delicious food, while some are passively accepted by us, such as new product recommendations on Taobao. The value of these data is difficult to measure. You can't say how much your one-day walking data is worth to a company. But massive amounts of data must have huge potential value. When they are used, some people will benefit from them, and these data providers often become the objects of service and have to pay for them. At present, the country has begun to strengthen legislative management and has supervised and regulated the application of data to a certain extent. But I think that supervision is not enough, and we need to find ways to effectively strengthen the circulation of data so that greater value can be generated. To this end, we must affirm the value of personal data and be willing to pay for it, rather than using user data for free under the guise of providing services.
Now many O2O companies or apps like to collect user phone numbers, and they pay a certain amount of equivalent to obtain the user's effective contact information. The acquisition of these effective users comes more from the collection of information. However, now it relies on the Internet, and people play a leading role in it. In the future, when every device has data collection value, new business models may emerge.
The data world built on the basis of sensor networks will basically correspond one-to-one with the data of the objects in the real world and the virtual world, and many quantities that cannot be seen or touched in the real world will be extracted one by one in this world for analysis and application, and then the real world equipment and instruments will be controlled through the network in turn. The final result is that each person and each machine will be built with an accurate data model, and transactions and processes will become processable and controllable, so that the real world and the network world will be completely integrated.
The above is an introduction to what the sensors are "spying" on. If you want to know more related information, please pay more attention to eeworld. eeworld Electronic Engineering will provide you with more complete, detailed and updated information.
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