With the rapid development of technology, mining valuable information from massive data has become an important part of the community. However, there are many deficiencies in the probability analysis of collision and grounding of ships in inland waterways, such as the insufficient use of data. The main purpose of this paper is to analyze the probability of collision and grounding of ships in inland waterways. Initially, big data analysis technology is used to preprocess the massive shipping data, and then the probability of the processed data is calculated by establishing the probability calculation model of collision and grounding. The results show that in the channel intersection area with poor shipping conditions, the increase of ship traffic volume will lead to the increase of ship collision probability; in the case of low visibility and long driving time, the probability of ship grounding will increase.
Shipping is one of the main modes of transportation, and the safety of ship operation is very important. The navigation conditions of the inland river are complex. The width of the river, the density of the ships and the height of the bridge all affect the navigation of the ships to a certain extent. Based on this, this paper proposes a decision-making optimization method for collision avoidance of inland ships based on intelligent calculation. By analyzing the process of ship collision, the genetic algorithm in intelligent calculation is used to avoid collision. The simulation results show that the best collision avoidance effect is achieved in the collision avoidance of the two ships and the collision avoidance of the ship and the bridge, which reduces the risk to the lowest level.
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