Smart-Factory-Faker
Project description
Smart Factory Faker
how to use
pip install smart-factory-faker
This is a project that can build a fake data set with a process. You can define the route of the process and by defining the sensor, you can build a data set of the process in progress.
Tutorial
version
V 0.1.0
- define process
- define facilities, and sensors
- return to dataframe
V 0.2.0
- return to csv
- return by facilies (it will return to seperated datafram by facilities)
V 0.2.1
- Or gate can difine probability for branching
- raise erorr when branch probability is not define
V 0.3.0
- Create BoolSensor
V 0.4.0
- Create method using heap(This function is more accurate Processor class is no longer maintained)
V 0.4.1
- Can visualize the difined route
v 0.5.0
- Huristic visualizer function is created(This function plots a number on a edge)
V 0.5.1
- Visualizer can show sensor infomation
V 0.6.0
- Sensor data can be generated for multiple distributions
- More sophisticated timestamps of sensor data generated by the process
V 0.7.0
- Sensor data can be visualized as a plot
V 0.7.1
- Refactoring the code
V 0.7.2
- fixed bug
V 0.7.3
- Change the code to get the next node
V 0.8.0
- Can be separated by facility
V 0.9.0
- refactoring code
- can see facilities history(Facility performance record => DataFrame(columns = [@timestamp, expire, wait]))
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