Maintenance equipment demand prediction and analysis system based on big data

Abstract

The invention discloses a maintenance equipment demand prediction and analysis system based on big data. The prediction analysis system is arranged on the inner side of the ship; a plurality of devices are arranged on the inner side of the ship; the predictive analysis system includes a server, the server is connected with artificial intelligence engine, the server is connected with a big data calculation engine; the artificial intelligence engine and the big data calculation engine are connected with a suggestion prompt module; the server is connected with a basic data structuralization module through a network. The basic data structuring module is connected with a big data center through a network; the big data center is connected with a data collector; the data collector is connected with a sensor set through a wire, the sensor set comprises but not limited to a temperature sensor, a gas sensor, a liquid level sensor, a pressure sensor and a vibration sensor, and the functions thatthe burden of spare parts carried by a ship can be greatly reduced, the warehouse space utilization rate is increased, the purchasing expenditure is saved, and the voyage rate is finally increased areachieved.

Description

technical field [0001] The invention relates to the field of predictive analysis, in particular to a big data-based maintenance equipment demand forecasting and analysis system. Background technique [0002] Predictive analytics is a statistical or data mining solution consisting of algorithms and techniques that can be used on structured and unstructured data to determine future outcomes and can be deployed for many other purposes such as forecasting, optimization, forecasting and simulation, and Informs the planning process and provides key insights into the future of the business. [0003] In some large enterprises or places with a lot of equipment, such as ships, there are a variety of equipment inside. These devices are in working condition all the year round, and are very prone to damage and failure. Every time a voyage is made, a large number of spare equipment and parts that can be repaired and replaced must be loaded on board. These equipment and parts take up a lo...

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Problems solved by technology

[0003] In some large enterprises or places with a lot of equipment, such as ships, there are a variety of equipment inside. These devices are in working condition all the year round, and are very prone to damage and failure. Every time a voyage is made, a large amount of spare equipment and spare parts that can be repaired and replaced must be loaded on b

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