Talking about this, this is what bionic sensor network means. It is closely related to biology and imitates some methods and mechanisms of biological systems. While thinking about the sensor network class that has been sorted out from the functional or structural aspects, we will continue to talk about how we can achieve biological-like perception by simulating the behavior or organizational structure of biological perception. and even a system with super ability to process relevant information.
Let me tell you some key parts here first. What are the different levels of imitation directions? For example, functional bionics, huh, imitate the sensory functions of living things. This sensor can produce something like biometric recognition. Functions such as object status or environmental parameter monitoring; and structure. Let’s talk about the basic network architecture layout and arrangement similar to the biological nervous system.
There are also several angles regarding the source of simulation. It can be related to animals or plants. Insects are so delicate and agile. There are also other aspects of biological vision and hearing organs that bring ideas to sensor networks, such as some echolocation sensors based on bat sonar mechanisms. Anyway, they are all kinds of weird ideas, and then they are implemented. Let's briefly talk about a few directions here and then talk about the important points below. The following are the key points.
1. In the direction of material bionic sensor technology, materials are equivalent to the body of the sensor, blood, etc., which is very important. For example, if a material that is very compatible with biology can be imitated and made into a flexible sensor, it can not only collect bioelectrical signals, but also cause little damage when implanted in the body. (Think about the relationship between a biological organism and the outside world, and what are the implications of material fusion.) For example, imitating certain elastin materials. For example, some ultra-miniature sensor materials such as molecular level and so on will be studied in the future: this may enable complete monitoring of single cell functions in the future. If these properties of self-repairing materials can be imitated, it can extend the life of the sensor and maintain its function. Let’s first think of the above and tell you about it. Next, let’s look at the other parts of the composition.
2. Algorithm and processing Algorithmic intelligence is very similar to the way the nervous system processes information. Can you rely more on this metaphor for brain-computer systems? Neural networks calculate weights layer by layer just like the human neural structure. Like how to design the neuronal and synaptic mechanisms similar to biological learning functions?
The transmission, exchange and transmission of information is another matter; everyone should be able to understand it as electrical signals and the like. Pay attention to the collection and outgoing from each node (focus on the sensor location and the bandwidth and delay of the data exchange equipment!) In the future, more ideas will be mentioned about the bionic algorithm, so that everyone can understand that the following ideas and directions need to be dealt with in order to better develop. Now that we have finished talking about the above structural blocks; there are these problems. Now that I think about it, I should sort it out according to my ideas and give you an answer:
Question 1: What is the difference between bionic sensor networks and ordinary old-fashioned sensor networks? .
Reply 1: Let’s just say that it is very mechanical and it is based on logic to judge whether there is a signal or not. It is a basic numerical range judgment. Bionics is more adaptable to changes and more like living things – just like living things can be more adjusted when encountering changing situations, and can self-adapt and regulate functions more like living things. This difference is obvious. Some special environments can be adjusted.
Question 2: Are there any technical difficulties and investment points in the manufacturing of bionic materials?
Reply 2 : It can be said that if the materials are relatively mature and the process of making ordinary general-purpose sensors is more mature – if you want that kind of special smart skin that is as soft as a muscle and feels conductive (for example, if you want to make an imitation crab leg joint that is flexible and durable, the material must overcome the traditional bulkiness of the past). Then the production process is difficult and it is difficult to update the technology. (Think about these difficulties first. If you really want to implement it, so many preliminary evaluations and investment manpower will change. Right.) The joint node here is very important.
Well, we all understood it piece by piece from some easy-to-understand explanation modules. Generally speaking, bionic sensors must continue to make breakthroughs; in the past, it was difficult for us to imagine that technology could completely surpass biology. Of course it is impossible (personally, I think that because nature’s natural selection accumulates over a long period of time, it cannot be surpassed by us humans immediately). It is better to combine biology to continuously explore and learn step by step. For those biological problems or achievements today, there are corresponding researchers to find out relevant functions that can be used for reference in design or algorithms. If R&D is completely closed without reference, it will be very rigid and meaningless. Like nature, it is very ingenious to constantly open up ideas for people, from functions to sensory systems. We have so many advantages to explore, which is why we have bionics research principles. In the end, I believe that we will learn more about it in the future. There will be more results to come. Provide global procurement services for weak current intelligent products!
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