System for online diagnosis and preventive maintenance of container crane based on big data

A container crane, preventive maintenance technology, applied in the direction of electrical digital data processing, special data processing applications, safety devices, etc., can solve the problem that the crane cannot be diagnosed and maintained online, realize the whole process monitoring, reduce the cost of downtime loss, The effect of reducing downtime

Active Publication Date: 2017-05-24
SHANGHAI ZPMC ELECTRIC +1
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Problems solved by technology

[0007] The purpose of the present invention is to provide a container crane online diagnosis and preventive maintenan...

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  • System for online diagnosis and preventive maintenance of container crane based on big data
  • System for online diagnosis and preventive maintenance of container crane based on big data

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Embodiment Construction

[0020] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0021] Aiming at the current situation that the steel structure of the container crane and the main mechanism fatigue, cracking and other major hidden dangers cannot be discovered and dealt with in time through traditional maintenance methods, the present invention develops an online crane diagnosis and treatment based on the Internet of Things, cloud platform and big data analysis technology. Preventive maintenance system.

[0022] Such as figure 1 As shown, the overall framework of the system of the present invention can be divided into two major layers, namely: product interconnection integration and big data acquisition layer and big data analysis optimization and intelligent service layer. Among them, the first layer can be divided into sub-layers: crane equipment layer 3, sensor layer 4, network layer 5 and data service...

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Abstract

The invention discloses a system for online diagnosis and preventive maintenance of a container crane based on big data. The system comprises a crane equipment layer, a sensor layer, a network layer and a data service layer, wherein the data service layer is further divided into a data analysis and model layer, a data application layer and a business system layer; the crane equipment layer receives operating parameters of the crane; the sensor layer receives sensor signals of key parts of the crane; the network layer transmits the operating parameters and the sensor signals to the data service layer; the data analysis and model layer presets a normal operating model and a fault model of the crane, and compares the operating parameters and the sensor signals with the model, so as to judge the operating state of the crane; the data application layer predicts the operating stable of the crane within a certain period of time in the future according to the operating parameters and the sensor signals, so as to generate a fault early warning; and the business system layer is provided with an external data interface, and outputs data of the data analysis and model layer as well as the data application layer to the outside world.

Description

technical field [0001] The present invention relates to a crane maintenance system, more specifically, to a container crane online diagnosis and preventive maintenance system 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 a...

Claims

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Application Information

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IPC IPC(8): B66C13/16B66C15/06B66C15/00G06F17/50
CPCB66C13/16B66C15/00B66C15/06G06F30/20G06F2119/04
Inventor 陆青杨仁民严梁方立王海峰吴松
Owner SHANGHAI ZPMC ELECTRIC
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