If you want to anthropomorphize the AI model and the coal mining industry, the picture in many people's minds must be that of a high-level intellectual wearing glasses and a coal boss with five big and three thick. All in all, it seems that the two can't be beaten together. But what I'm going to say next may break your perception. The coal mining industry is the favorite industry of AI models, what is going on? In this issue, let's take a good chat.
Although AI models and coal mines, one is high-tech and the other is a traditional industry, the combination of the two is not unusual. After all, the times are developing, and if high-tech wants to be recognized by the public, it must have commercial value. If the traditional industry is eager to play flowers, it is necessary to take a high-tech ride. For example, the meta-universe cultural tourism IP created by ** education and scenic spots, these are all examples of the combination of ready-made traditional industries and high-tech. Therefore, the combination of AI large model and coal mine, objectively speaking, is not surprising, what really makes people feel unbelievable, there are so many traditional industries, why AI large model loves coal mining industry, and how it is applied to the coal mining industry. Don't worry, before figuring out this problem, let's first understand what an AI large model is.
In fact, literally, we can already vaguely guess the nature of the AI model. It's really a model with larger parameters that can handle more complex data. Because the functions are more complete and efficient than ordinary AI models, it is generally applied to autonomous driving, intelligent customer service, etc. However, these fields obviously cannot fully exert their strength, and scientists are more inclined to use AI models in larger scenarios.
However, the practical application of AI large models is far from as smooth as scientists imagined, because large projects in reality have a clear division of labor, each step involves the whole body, and extremely dependent on improvisation, and the sensitivity of AI large models in this regard is obviously lacking. To put it simply, this is the same as your company doing a long-term project, if there is any change in the middle, the work of each department will also change, and the AI model is more based on the inherent form given, to help you with thousands of possibilities. The former is constantly changing but not looking back, trying to get closer to the standard. The latter is the same and offers countless solutions, but often fails to solve the core problem in a down-to-earth manner.
As a result, after thinking about it for a long time, a group of scientific bigwigs aimed at the coal mining industry, first, its unfixed factors are not so many, and the situation that needs to be adjusted is within a controllable range. Second, the commercial value generated by its combination with the AI model is still very high. The most surprising thing is that the coal mining industry is of great significance to the survival and development of human beings, and the addition of AI large models can avoid environmental pollution caused by random mining to a certain extent. Whether from an economic or environmental point of view, the combination of AI models and the coal mining industry is the icing on the cake.
So how exactly do the two work together? The answer to this question will change according to different coal mining scenarios and different AI models, and we generally mean that all the problems that cannot be done manually or cannot be handled well are left to the AI large models to solve.
For example, the AI large model can use remote sensing image technology to fuse the captured panchromatic band images of the mine with multi-spectral band images, and perform a series of operations such as cropping and dehazing of these images to obtain data at different heights of the mine.
For another example, the AI large model can build a mine scene identification model to collect risks in advance. When workers are drilling and constructing, it can also be monitored in real time to realize automatic detection of drilling depth and help workers reduce their workload.
The most detailed thing is that the AI model can also build an artificial intelligence coal blending system, optimize the proportion of coal blending, reduce the cost of coal mines, and realize the efficient use of resources.
There are many more benefits brought by the combination of AI large models and the coal mining industry, so we will not go into detail one by one. On the whole, the portfolio is very impressive, both in terms of the benefits created today and the prospects for future development. The coal mining industry has made a new leap forward through the AI model, and the AI model has made a good start in terms of practical application. Feel free to speculate.
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