Abstract

With the current technology of ship power battery and alternative fuel power system gradually mature, many countries have issued relevant policies to emphasize the promotion of ship new energy, while the current domestic ship related active safety system is still in the state of low automation, low intelligence and low integration. In this regard, the project introduces artificial intelligence algorithm to design a set of new energy ship power module monitoring system for fuel cell ships and pure electric ships, which can be used for marine power battery output management and safety monitoring, mainly including hydrogen fuel cell safety monitoring system, power battery (buffer cell) safety monitoring system and power integrated safety monitoring system. This work combines embedded technology with Internet of things technology and artificial intelligence algorithm to solve the safety management problem of new energy ship power system. If it is applied to the actual ship, obvious social and economic benefits can be achieved.

Highlights

  • At present, most of ships are powered by diesel fuel, which leads to excessive consumption of energy, resulting in a large number of emissions of pollutants

  • The system has the functions of real-time monitoring of engine room environment, visualization of engine room information, multi-level alarm of abnormal conditions, etc., which can protect the safe operation of new energy power system

  • The fuel cell department will immediately shut down the stack

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Summary

INTRODUCTION

Most of ships are powered by diesel fuel, which leads to excessive consumption of energy, resulting in a large number of emissions of pollutants. The causes of overheating of ship power system include electric short circuit, overcharge, rapid discharge, mechanical damage, manufacturing defects or poor design. In order to avoid the above accidents, considering the inevitable development trend of new energy in the field of ship, this project takes the hybrid ship carrying fuel cell and power battery as the research object. By introducing artificial intelligence technology, multisensor fusion technology and embedded development technology, a power security monitoring system based on engineering standards is designed. The system has the functions of real-time monitoring of engine room environment, visualization of engine room information, multi-level alarm of abnormal conditions, etc., which can protect the safe operation of new energy power system

RELATED WORKS
OVERALL DESIGN
Hardware design
Electronic control system design
Design of Visualization platform
EXPERIMENT AND RESULT
Sensor and its control system test
Visual platform testing
CONCLUSION
Full Text
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