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Rotating equipment service life monitoring system based on big data

A technology for rotating equipment and monitoring systems, which is used in engine testing, special data processing applications, and machine/structural component testing.

Active Publication Date: 2021-09-10
HUNAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] The rotating parts of many machines are extremely worn, and the life of the parts is short, so it is necessary to monitor the life of the parts to ensure normal driving
[0003] Now a lot of monitoring systems have been developed. After a large number of searches and references, we found that the existing rotating equipment life monitoring systems are as disclosed in KR101080763B1, KR101449331B1, CN101220759B and KR101590775B1, including viscosity damage modules and viscosity increase modules. and the Remaining Oil Life module, the Viscosity Loss module determines the percent viscosity loss of the engine oil based on fuel accumulation in the engine oil, the Viscosity Gain module determines the percent viscosity increase of the engine oil based on fuel evaporation and / or soot accumulation in the engine oil, and the Remaining Oil Life The module communicates with the viscosity loss module and the viscosity gain module and determines the percent oil life remaining based on the percent viscosity loss and / or percent viscosity increase, but this is a common engine life monitoring method, and rotary engine life monitoring systems are rare

Method used

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  • Rotating equipment service life monitoring system based on big data
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  • Rotating equipment service life monitoring system based on big data

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Embodiment 1

[0032] This embodiment provides a life monitoring system for rotating equipment of a rotary engine based on big data. The system includes a data processing cloud server, a driving data acquisition module, a maintenance data acquisition module and a transmission module. The driving data acquisition module is used to collect Various status data of the vehicle during driving, the maintenance data acquisition module is used to collect various data of the vehicle during engine maintenance and repair, the transmission module sends all the collected data to the data processing cloud server, the data The processing cloud server simulates the life loss value of the rotary engine based on a large amount of data;

[0033] The data processing cloud server includes a user management module, a data storage module, a data packet processing module, a life monitoring and early warning module, and a processing model correction module. The user management module is used to manage the basic functi...

Embodiment 2

[0048] to combine figure 1 , this embodiment includes all the content of Embodiment 1. This embodiment provides a big data-based rotor engine rotating equipment life monitoring system, including a data processing cloud server, a driving data acquisition module, a maintenance data acquisition module and a transmission module. The driving data acquisition module is used to collect various status data of the vehicle during driving, the maintenance data acquisition module is used to collect various data of the vehicle during engine maintenance and repair, and the transmission module sends all the collected data to To the data processing cloud server, the data processing cloud server simulates the remaining life of the rotary engine according to a large amount of data;

[0049] The driving data acquisition module, the maintenance data acquisition module and the transmission module are integrated in a vehicle client, the vehicle client is installed in the vehicle and connected to th...

Embodiment 3

[0054] This embodiment includes all the content of the above-mentioned embodiments. The data packet processing module of this embodiment obtains road information according to the driving route, and divides the driving route into several small sections according to the road surface conditions of the road. The road of each small section of the route has For the same road conditions, at the same time, the driving information is also corresponding to several time periods, and each time period of driving information corresponds to a short route, and the data packet processing module calculates the life loss value of the rotor engine in each time period :

[0055] ;

[0056] in, is the duration of driving information corresponding to the period, Z(t) is the rotational speed function of the rotary engine, O(t) is the fuel consumption rate function, R is the road surface flatness coefficient of the corresponding route, P( ) is the rotational speed processing function, Q( ) is the...

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Abstract

The invention provides a rotating equipment service life monitoring system based on big data, which comprises a data processing cloud server, a driving data acquisition module, a maintenance data acquisition module and a transmission module; the driving data acquisition module is used for collecting various state data of a vehicle in the driving process; the maintenance data acquisition module is used for acquiring various data of a vehicle during engine maintenance, the transmission module sends all the collected data to the data processing cloud server, and the data processing cloud server simulates a life loss value of a rotor engine according to a large amount of data; the data processing cloud server can calculate the service life loss value of the rotor engine immediately after each section of travel is finished, and sends a maintenance early warning and a scrapping early warning when specific requirements are met, so that a user can carry out maintenance and scrapping in time, and the reliability during normal driving is ensured.

Description

technical field [0001] The invention relates to the technical field of data monitoring, in particular to a life monitoring system for rotating equipment based on big data. Background technique [0002] The rotating parts of many machines are extremely worn, and the life of the parts is short. It is necessary to monitor the life of the parts to ensure normal driving. [0003] Now a lot of monitoring systems have been developed. After a large number of searches and references, we found that the existing rotating equipment life monitoring systems are as disclosed in KR101080763B1, KR101449331B1, CN101220759B and KR101590775B1, including viscosity damage modules and viscosity increase modules. and the Remaining Oil Life module, the Viscosity Loss module determines the percent viscosity loss of the engine oil based on fuel accumulation in the engine oil, the Viscosity Gain module determines the percent viscosity increase of the engine oil based on fuel evaporation and / or soot acc...

Claims

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Application Information

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IPC IPC(8): G01M15/00G06F30/20G06F119/04
CPCG01M15/00G06F30/20G06F2119/04
Inventor 段雄波
Owner HUNAN UNIV
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