An case about predicting and display parts' life by an interactive website
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The company finds it’s costly to arrange a worker to repair a chiller without knowing which parts are failed inside. The worker will have an issue identifying what parts to bring when scheduling their repair job and is time-consuming to fetch the broken parts twice. Therefore, managers first need to know the usage of parts, and can monitor the remaining life of parts in real time.
Here are the problems we will deal with:
- We need select a model to predict parts' life precisely.
- We need to design a dynamic and interactive web page to meet the needs of managers to monitor the life cycle status of parts in real time.
This section should list any major frameworks/libraries used to bootstrap your project. Leave any add-ons/plugins for the acknowledgements section. Here are a few examples.
This is an example of how you may give instructions on setting up your project locally. To get a local copy up and running follow these simple example steps.
This project requires basic knowledge of python, and two additional libraries, Lifelines and Dash, need to be installed.
Next is to apply our template.
- Clone the repo
git clone https://github.com/WBGZDTSL/AI_Maintain.git
- Install packages
pip install lifelines pip install Dash
We completed the prediction of the life of specific parts, and displayed the predicted results on the dynamic web page.
For more details, please refer to the Documentation
The business impact of the model is estimated as follows.
Savings: When a part reaches a critical life, we can try to monitor it through the dynamic interactive web page, check the life of the part in time, and provide effective suggestions for the exchange of parts.
Aaron Wei - @WBGSUPER - [email protected]
Project Link: https://github.com/WBGZDTSL/AI_Maintain
In this project we have cited and referenced the following resources, we would like to express our heartfelt thanks!