Equipment state evaluation method, device and system and storage medium

A technology of equipment status and equipment, applied in data processing applications, prediction, calculation, etc., can solve problems such as lack of objectivity and inaccurate evaluation results, achieve automation and intelligence, solve misjudgment, accurate evaluation and monitoring. Effect

Active Publication Date: 2019-07-26
无锡雪浪数制科技有限公司
View PDF5 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Embodiments of the present invention provide a method, device, system, and storage medium for evaluating equipment status, so

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Equipment state evaluation method, device and system and storage medium
  • Equipment state evaluation method, device and system and storage medium
  • Equipment state evaluation method, device and system and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0024] Example one

[0025] figure 1 It is a flowchart of a method for evaluating device status in Embodiment 1 of the present invention. The equipment state evaluation method provided in this embodiment is applicable to the situation of monitoring and evaluating the state of the equipment. The method can be specifically executed by an equipment state evaluation device, which can be implemented by software and / or hardware. Can be integrated in the system. See figure 1 , The method of the embodiment of the present invention specifically includes:

[0026] S110. Input the device state data with the normal state label and the abnormal state label added to the prediction model to obtain first prediction data and second prediction data.

[0027] Among them, there is at least one device to be evaluated, and the state of one device can be monitored and evaluated, or the state of a system composed of multiple devices can be monitored and evaluated. The normal state label and the abnormal ...

Example Embodiment

[0038] Example two

[0039] image 3 It is a flowchart of a method for evaluating device status in the second embodiment of the present invention. This embodiment is optimized on the basis of the foregoing embodiment, and gives a detailed introduction to the training process of the prediction model. For details not described in this embodiment, please refer to the above embodiment. See image 3 , The device state evaluation method provided in this embodiment may include:

[0040] S210. Use the historical data of the device with the normal state label and the abnormal state label added as training data, train the model constructed based on the conditional variational autoencoder to obtain a prediction model, and store the prediction model in the model center.

[0041] Specifically, before predicting the equipment state data through the predictive model, the predictive model needs to be trained. First obtain the historical device data stored in the database. Since the device histori...

Example Embodiment

[0052] Example three

[0053] Figure 4 This is a schematic structural diagram of a device state evaluation apparatus provided in Embodiment 3 of the present invention. The device is suitable for monitoring and evaluating the status of the equipment. The device can be implemented by software and / or hardware, and the device can be integrated into the system. See Figure 4 , The device specifically includes:

[0054] The prediction module 310 is configured to input the device state data with the normal state label and the abnormal state label added to the prediction model to obtain the first prediction data and the second prediction data;

[0055] The state prediction value determining module 320 is configured to determine the state prediction value of the device according to the error value of the first prediction data and the device state data, and the error value of the second prediction data and the device state data.

[0056] Optionally, the state prediction value determining modu...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The embodiment of the invention discloses an equipment state evaluation method, device and system and a storage medium. The method comprises the following steps: inputting equipment state data added with a normal state label and an abnormal state label into a prediction model to obtain first prediction data and second prediction data; and determining a state prediction value of the equipment according to the error values of the first prediction data and the equipment state data and the error values of the second prediction data and the equipment state data. Through the technical scheme, manualparticipation is not needed for equipment state evaluation; according to the technical scheme, automation and intelligentization of equipment state evaluation are achieved, the accurate index value of the equipment can be obtained, in addition, under the condition that the performance of the equipment changes, the equipment state can be accurately evaluated and monitored through the technical scheme, and the problem that misjudgment is generated through experience rule evaluation is solved.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of equipment monitoring, and in particular, relate to a method, device, system and storage medium for evaluating equipment status. Background technique [0002] At present, enterprises are paying more and more attention to the leanness of production in product production. Enterprises will make optimal decisions based on market, environment, production goals and equipment status adaptability. Among them, whether the monitoring of production system working conditions and equipment conditions is accurate and objective It is very important to the formulation of enterprise production optimization decision-making. [0003] At present, the evaluation of the abnormal operation status of the equipment by the production enterprise mainly depends on the real-time operation sensors, process settings, production load and other parameters of the equipment, and judges the operation status of the equip...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06Q10/04
CPCG06Q10/04
Inventor 梁新乐刘凯顾毅
Owner 无锡雪浪数制科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap