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Method and system for monitoring and predicting GPS terminal faults

A GPS terminal and GPS module technology, applied in the field of GPS faults, can solve the problems that users cannot find and deal with in time, data loss, unfavorable equipment management, etc.

Inactive Publication Date: 2020-12-29
XCMG EXCAVATOR MACHINERY
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Problems solved by technology

[0004] The purpose of the present invention is to provide a method and system for monitoring and predicting GPS terminal faults, so as to solve the problem that if the GPS fails to transmit data in the prior art, the user cannot find and deal with the fault in time, which will cause long-term data loss, which will not be solved. Defects that facilitate the management of equipment

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  • Method and system for monitoring and predicting GPS terminal faults
  • Method and system for monitoring and predicting GPS terminal faults
  • Method and system for monitoring and predicting GPS terminal faults

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[0027] In order to make the technical means, creative features, goals and effects achieved by the present invention easy to understand, the present invention will be further described below in conjunction with specific embodiments.

[0028] Such as Figure 1-Figure 3 As shown, the present invention provides a fault prediction method and system for excavator GPS terminals based on BP neural network;

[0029] First aspect: a method for monitoring and predicting GPS terminal failure, said method comprising the following steps:

[0030] The first step is to collect the working condition data of each module through the GPS terminal, and input the preset BP neural network state evaluation model;

[0031] In the second step, the BP neural network model judges the health status of the corresponding module of the GPS terminal according to the input working condition data;

[0032] The third step is to send the corresponding fault module information to the corresponding agent user thr...

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Abstract

The invention discloses a method for monitoring and predicting GPS terminal faults. The method comprises the following steps that the historical working condition data of each module is collected through a GPS terminal and is input into a preset BP neural network state evaluation model; the BP neural network model judges the health state of a GPS terminal according to the input historical workingcondition data; and fault information is sent to a corresponding agent user through a message notification module. According to the method, it is ensured that an Internet of Things platform can effectively collect working condition data and operation condition data of equipment for a long time, the equipment is effectively managed, and data support is provided for subsequent research and development work.

Description

technical field [0001] The invention relates to a method and system for monitoring and predicting GPS terminal faults, belonging to the technical field of GPS faults. Background technique [0002] With the help of GPS terminals and the Internet of Things platform, all excavator equipment of the company can be managed in a unified manner, and the working condition data and operation status of excavators can be monitored. Users can check the status of the device by logging into the IoT platform; [0003] Due to the lack of an effective active monitoring method for the running status of the GPS, if the GPS fails to transmit data, the user cannot find and deal with the failure in time, which will cause long-term data loss, which is not conducive to the management of the equipment. Contents of the invention [0004] The purpose of the present invention is to provide a method and system for monitoring and predicting GPS terminal faults, so as to solve the problem that if the GP...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S19/23
CPCG01S19/23
Inventor 范党平刘立祥牛东东魏红敏卞清荣邢泽成王敦坤陈鹤
Owner XCMG EXCAVATOR MACHINERY