Method and system for evaluating health state of industrial equipment, equipment and storage medium

A technology for industrial equipment and health status, applied in the fields of instruments, electrical digital data processing, hardware monitoring, etc., can solve the problems of unconsidered, unable to fully reflect the health status of industrial equipment, and low accuracy of model prediction results.

Pending Publication Date: 2019-08-13
SHANGHAI ELECTRICGROUP CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Therefore, the existing conventional applications do not consider the defects of continuous data itself, that is, they cannot fully reflect the h

Method used

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  • Method and system for evaluating health state of industrial equipment, equipment and storage medium
  • Method and system for evaluating health state of industrial equipment, equipment and storage medium
  • Method and system for evaluating health state of industrial equipment, equipment and storage medium

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0078] Such as figure 1 As shown, the assessment method of the health state of the industrial equipment of the present embodiment includes:

[0079] S101. Obtain the historical operation code data corresponding to the operations performed by the industrial equipment within the historically set time period and all historical operating parameter data collected by the sensors in the industrial equipment within the historically set time period;

[0080] Among them, the historical operation parameter data is continuous data, and the historical operation code data is discrete data; the historical setting time period includes multiple working cycles;

[0081] In order to ensure that the industrial equipment completes the specified operation in each working cycle, it is necessary to write the operation code in advance and store it in the corresponding storage device, where the historical operation code data is collected from the storage device by the data acquisition system.

[0082]...

Embodiment 2

[0090] Such as figure 2 As shown, the method for evaluating the health status of industrial equipment in this embodiment is a further improvement to Embodiment 1, specifically:

[0091] After step S101, before step S103 also includes:

[0092] S1030. Perform preprocessing on historical operating parameter data and historical operation code data.

[0093] Among them, the preprocessing includes removing some abnormal data in the historical operating parameter data and historical operating code data, such as data obtained when a sensor fails.

[0094] In this embodiment, the data acquisition system is used to obtain historical operating parameter data and historical operation code data. The data acquisition system here is an existing device that can obtain target data from a certain device. The specific type, model, etc. No special request.

[0095]In addition, for the historical operating parameter data and historical operating code data collected by the same data acquisitio...

Embodiment 3

[0107] Such as image 3 As shown, the method for evaluating the health status of industrial equipment in this embodiment is a further improvement to Embodiment 2, specifically:

[0108] The historical operation code data corresponding to each working cycle constitutes a state code sequence, and the multiple state code sequences corresponding to the historical setting time period constitute a state code sequence library.

[0109] Examples of industrial equipment include excavators, wind turbines, and the like. For an excavator, it can be used as a working cycle from start-up to shutdown; for a wind turbine, every natural day can be used as a working cycle.

[0110] Industrial equipment such as excavators or wind turbines will perform a series of operations in each work cycle, and each operation corresponds to its own historical operation code data. In chronological order (from the beginning to the end of the work cycle), each work The historical operation code data for a seri...

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Abstract

The invention discloses an assessment method and system for the health state of industrial equipment, equipment and a storage medium. The assessment method comprises the steps of acquiring historicaloperation parameter data collected by a sensor in the industrial equipment within a historical set time period and historical operation code data corresponding to operation; establishing a parameter prediction model; obtaining a parameter prediction value corresponding to the target sensor according to the parameter prediction model; and assessing the health state of the industrial equipment in the target set time period according to the target operation parameter data and the parameter predicted value. Based on the historical operation parameter data of each sensor in the industrial equipmentand the discrete historical operation code data corresponding to the executed operation, a prediction model used for predicting parameters output by any target sensor is established, and then the health state of the industrial equipment is evaluated according to the residual error between an output parameter predicted value predicted by the model and an actual output value, so that the evaluationaccuracy of the health state of the industrial equipment is improved.

Description

technical field [0001] The invention relates to the technical field of equipment management, in particular to a method, system, equipment and storage medium for evaluating the health status of industrial equipment. Background technique [0002] At present, with the continuous improvement of the intelligence level of equipment (such as industrial equipment, etc.), the remote status monitoring and intelligent operation and maintenance of equipment are gradually being valued by enterprises. With the development of sensor technology and network technology, more and more data can be collected and transmitted in real time, which provides a basis for real-time status monitoring of equipment. At present, different health status assessment methods have been proposed for different types of industrial equipment or different data characteristics. For example, some methods are based on EMD decomposition (empirical mode decomposition) for feature extraction and construction of health stat...

Claims

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Application Information

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IPC IPC(8): G06F11/30
CPCG06F11/3058G06F11/3447
Inventor 谢晓龙许伟谈宏志
Owner SHANGHAI ELECTRICGROUP CORP
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