The invention relates to the field of cooling capacity demand prediction, in particular to an LNG power ship cooling capacity demand prediction system based on use habit analysis, which comprises a data collection module, a cooling capacity demand analysis module and a prediction result processing module, the real-time monitoring data comprises ship traveling data and current cooling capacity data, the cooling capacity demand analysis module collects habit data through a database, the habit data comprises the ship traveling data and actual cooling capacity data, and a model is established according to the habit data through an algorithm model; then the established model is used for predicting the cooling capacity demand according to ship traveling data in real-time monitoring data, a prediction result processing module compares predicted cooling capacity demand data with current cooling capacity data, and the current cooling capacity is adjusted according to a comparison result; and optimizing the model according to the influence of the adjustment result on the energy utilization rate in the energy monitoring table.
本发明涉及的冷量需求预测领域,具体为基于使用习惯分析的LNG动力船冷量需求预测系统,包括数据收集模块、冷量需求分析模块和预测结果处理模块,其中:首先数据收集模块利用不同传感器收集各种实时监测数据,实时监测数据包括船舶行驶数据和当前冷量数据,冷量需求分析模块利用数据库收集习惯数据,习惯数据包括船舶行驶数据和实际冷量数据,通过算法模型根据习惯数据进行模型建立,再利用建立好的模型根据实时监测数据中的船舶行驶数据进行冷量需求的预测,预测结果处理模块根据预测的冷量需求数据与当前冷量数据进行比对,根据比对结果对当前冷量进行调整,根据调整结果对能源监测表中能源利用率的影响对模型进行优化。
LNG (Liquefied Natural Gas) power ship cooling capacity demand prediction system based on use habit analysis
基于使用习惯分析的LNG动力船冷量需求预测系统
2024-02-06
Patent
Elektronische Ressource
Chinesisch
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