Engineering machinery maintenance information management system based on APP and Internet of Things big data

Abstract

The invention discloses an engineering machinery maintenance information management system based on APP and Internet of Things big data. The engineering machinery maintenance information management system comprises a machinery data acquisition terminal, a data storage and business logic processing module, a user terminal APP and a service personnel terminal APP. The mechanical data acquisition terminal is used for positioning and acquiring parameter data of each sensor and processing, packaging and transmitting the acquired data; the data storage and service logic processing module is mainly used for receiving the data transmitted by the mechanical data acquisition terminal, performing data analysis, storage and operation, performing data restorage, and performing logic judgment processingto form a readable data writing data interface; and the user terminal APP and the service personnel terminal APP are used for calling an interface to check data and submit data through a data interface provided by the data storage and business logic processing module. The problems of low equipment maintenance and repair efficiency, high cost and lack of remote alarm, fault prediction and remote active diagnosis are solved.

Description

technical field [0001] The invention relates to an information management system, in particular to a construction machinery maintenance information management system based on APP and big data of the Internet of Things. technical background [0002] With the continuous development and progress of my country's infrastructure in recent years, in order to further improve construction efficiency and construction quality, the management of construction machinery and equipment has also received attention. Good repair and maintenance technology of construction machinery and equipment can effectively reduce unnecessary losses of construction machinery and equipment, prolong the service life and reduce construction costs. At this stage, the maintenance and maintenance methods of construction machinery equipment in my country lack the ability to predict failures, and do not have the ability to remotely actively diagnose and real-time alarm, resulting in high maintenance time and spare ...

AI Technical Summary

Problems solved by technology

[0003] In view of the shortcomings of the existing technology, the present invention provides a construction machinery maintenance information management system based on APP and Internet of Things big data to solve the problems of low efficiency, high cost and lack of remote alarm, Failure prediction and remote proactive diagnosis of problems

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