Big data based container crane online diagnosis and maintenance system

Abstract

The invention provides a big data based container crane online diagnosis and maintenance system, which comprises a crane equipment layer, a sensor layer, a network layer, a data analysis layer, a dataapplication layer, and a commercial system layer. The crane equipment layer receives running parameters of a crane. The sensor layer receives sensor signals from important parts of the crane. The network layer transmits the running parameters and the sensor signals to the data analysis layer. A crane normal operation mode and a crane fault mode are stored in the data analysis layer in advance. The running parameters and the sensor signals are compared with the models to judge the operation state of the crane. The data application layer predicts the operation state of the crane in a future period based on the running parameters and the sensor signals and generates fault warning. The commercial system layer is provided with an external data interface and outputs the data of the data analysis layer and the data application layer. The provided system can monitor a plurality of cranes in a plurality of harbors in real time, and effectively manages the cranes in harbors.

Description

technical field [0001] The invention relates to a crane maintenance system, in particular to an online diagnosis and maintenance system for container cranes based on big data. Background technique [0002] The container crane is the main working equipment of the container terminal, and its good condition and efficient work determine the production efficiency and economic benefits of the terminal. At the same time, this type of crane is a large-scale and technically complex handling and handling equipment that integrates mechanical, electrical, hydraulic and computer control technologies. The cost of purchasing a single machine is very high, and maintenance costs are also the main cost of the company's daily operations. Therefore, for the operation and maintenance department of the container terminal, it is the basic work requirement to do a good job in the daily maintenance and maintenance of the crane, to ensure that the crane can be operated at any time and to reduce the c...

AI Technical Summary

Problems solved by technology

[0004] However, the above-mentioned conventional maintenance work generally has the following problems: there is no strategy for regular maintenance, and repairs or maintenance are generally carried out when the crane fails or is obviously abnormal; due to the large number of cranes on the wharf, manual monitoring is used The inspection or fault detection of the crane is inefficient and the labor cost is too high

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