How do you tell me about this? The neurofeedback climate system is about providing feedback information on some climate states related to the surrounding environment through some special methods. Oh my expression may not be easy to understand, but anyway, there is a meaning of using a neural feedback mechanism to monitor climate conditions.
Now let’s talk about this key point in modules
The first aspect is the monitoring part. This monitoring part is very important, and many aspects of climate data can be collected through this thing. Various data, such as meteorological temperature, humidity changes, and even related air quality, can be monitored in relevant and effective ways. Just like doing regular physical examinations for the climate environment, you can clearly know what the relevant specific values are in. For example, how much heat the temperature reaches now, and whether it is abnormal if the fluctuation changes occur, can be monitored from here. This can provide considerable help for us to understand the actual climate and environmental conditions around us.
Next, the second part is data processing. After collecting so much complex related data, it is more critical to how to organize and use this data in the future. This is done through special related algorithm software programs and other things to analyze and interpret. There are quite a few tricks here. A set of special mathematical models and logic are running. We must classify and search data in this regard. Find the data on the respective situations of many scattered states and analyze them in a relationship to analyze the impact of temperature on air pressure, humidity and certain meteorological phenomena. These are all excavated through these processing.
Another part is the feedback part. After monitoring the data and processing it, it is reliable to draw professional conclusions, then you have to feedback it, right? If you don’t feedback it so that people want to know the relevant situation will not be in vain. Feedback, there are all kinds of tricks. Chart modes like visualization can most clearly and intuitively reflect the actual climate value. What dynamics are intuitively represented by people can clearly see what the specific indicators are. There is also information such as text. You can use text to describe clearly what the relevant phenomena are going on or what the phonetic form is, which is convenient for a specific environment that doesn’t want to see or focus on your eyes, but you need to understand the information that people listen to multiple channels and angles.
Let’s talk about the details in the form of Q&A.
Q: How to determine the frequency of this monitoring data to be appropriate?
This is really different requirements for different scenarios. If you must timely grasp the dynamic climate environment such as special industrial environments or areas with excessive climate dependence in agriculture, it is best to provide real-time monitoring and feedback. For example, some production procedures have extremely strict temperature and humidity requirements. If there is a slightest production problem, then the frequency can be carried out every minute. However, if some ordinary cases are not so sensitive to short-term differences in climate change, such as normal residential areas. It may be stipulated that data can be collected for several hours for corresponding analysis. Choose the most suitable frequency according to actual requirements.
Ask if there will be errors in the processing process, what should I do if this error occurs? Well… The error is inevitable that there will be a little bit even if the related program algorithm software is optimizing. But there are also ways to calibrate the relevant monitoring equipment from the beginning. It is to accurately measure one of their initial state data accuracy points to ensure that the input data is accurate and it is possible to reduce the error. After further calculations, it is possible to compare algorithms with different processing tools in the same situation. It is more stable and reliable. There are relatively few errors. In this way, or directly eliminate those outrageous situations that are obviously deviating from common sense. In combination, the various aspects are guaranteed to be as small as possible and within an acceptable range.
Question: It is compared with how to compare the situation by manually judging climate… In the past, more manual labor was used to judge the general situation by simply looking at the phenomenon. However, this method is not only subjectively inaccurate, but also has a very narrow range of information acquisition. After all, personal sensory perception is limited. Objectively, with the assistance of multiple instruments, the reliability of data speaking is significantly improved and the coverage is wide. The data is highly reliable when analyzing it.
I personally think that it really helps us understand the detailed state of our climate and environmental changes in all aspects and this situation, which has greatly helped us play a reliable and effective role in all aspects (providing global procurement services for weak current intelligent products!) I hope that the research and development will be more and more advanced in this area in the future.
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