## 4 Conclusions  
In this paper, a rough set fuzzy neural network model is constructed to predict blasting vibration parameters. On this basis, an intelligent automatic monitoring system for blasting vibration is built, and the space-time effect of blasting vibration is studied. The blasting peak vibration velocity was selected as the evaluation standard, and the Satovsky equation was used to construct the environmental impact prediction model, and the errors of the model were compared to optimize the prediction model. For the blasting peak vibration velocity, the horizontal straight-line distance between the explosion source and the monitoring point has the greatest influence on it, and the secondary influencing factors are section charge, total charge, and elevation difference. The size of resistance line has little influence on the rock integrity coefficient, while the time of slight difference of blasting and the medium condition of propagation site have the least influence. For the dominant frequency of blasting vibration, the horizontal straight-line distance between the explosion source and the monitoring point has the greatest influence on it, and the secondary influencing factors are elevation difference and explosive type. The effect of section charge and rock integrity coefficient is relatively small, while the total charge, the time of slight difference of blasting and the medium condition of the propagation site have the least influence on it. The rough set the parameters of the fuzzy neural network-based prediction model has better precision, need to input conditions for effective elaboration and classification, to reflect the special propagation characteristics of blasting vibration, in the single parameter prediction model between the predicted and the measured values is higher, fully satisfy the project need, thus establish forecasting warning system is feasible. Through the field application of the newly developed automatic blasting monitoring system, it is found that the blasting vibration attenuation law is different under different lithology conditions, especially at the boundary of soft and hard rock, the blasting vibration velocity decreases slowly. The main reason why the blasting vibration velocity changes significantly is that the blasting vibration wave attenuates faster in the hard rock area. The attenuation velocity of rock area slows down, resulting in the rapid decrease of blasting vibration velocity in soft rock area. From hard rock to soft rock, the elastic modulus and blasting vibration velocity gradually decrease, indicating that the impact of blasting vibration on rock vibration velocity is proportional to the elastic modulus of rock. Due to the hollow effect of blasting vibration, the blasting effect on the excavated surface is more significant than that on the unexcavated surface. Vibration monitoring should be carried out on the upper part of excavation zone to control the influence of buildings and vibration effect. The impact of blasting vibration on buildings on the surface is more complex, mainly showing that the blasting vibration velocity reaches the maximum when it is close to the lower level of the surface. Then it diminishes, with a slight amplification at the top. In a certain range, when the frequency of blasting vibration is close to that of the building, the top whip sheath effect will appear, and the hollow effect will also have a special effect on the attenuation of blasting vibration in the building. During the whole thesis writing process, [PERSON] did the conception and draft of the whole thesis. [PERSON] and [PERSON]. ([PERSON]) mapped the whole paper, polished the language, and analyzed some data. [PERSON], [PERSON], and [PERSON] were responsible for hardware equipment procurement, software development and debugging, and feasibility study of software and Matlab. [PERSON] is responsible for the installation and management of field instruments. [PERSON] and [PERSON] are responsible for the revision and logical thinking adjustment of the first draft of the paper.