Introduction

An Oil and Gas company wanted their maintenance to be made digital as a part of their mission towards Industry 4.0. All their machines were connected and the BDB team was requested to provide a solution for their maintenance/ monitoring of machine-related issues.

Pre-Requisites

• Pipeline to be activated for the entire workflow

  • Data Generator - Pipeline which generates data based on the API request/

  • Machine sensors_alert_pipeline - Main Pipeline which detects anomaly from the input data/

  • Jira_Status_changer - Pipeline which changes status, comments, and assignee of the issue ticket from the dashboard.

• Postman API is to be called for generating sensor data & alerts values from the pipeline.

curl --location --request POST 'https://app.bdb.ai/ingestion/dataIngestion' \
--header 'ingestionId: 7319662eed9b-1e58-6834-6778-c93c119d' \
--header 'ingestionSecret: VIyWyZ7nbmw6cBJVv1+tH0eANkqqGjj4xNsNPDUoDMX/unDA1tZb0L5THftaMIUd' \
--header 'Content-Type: application/json' \
--data-raw '[{
"SensorID": ["P1_U1M1S1"],
"duration": 60,
"alert" : "no"
}]'

Alert: yes/no will trigger the alert/normal values respectively.

Dashboard to look for

• Manager - Dashboard which consists of both live monitoring, past alert records, and issue ticket.

• Unit Engineer - Dashboard which consists of issue tickets for the respective Engineers.

Data As APIs

Last 10 mins data

curl --location --request GET 'https://app.bdb.ai/services/api/sensor_data_10mins' \
--header 'clientid: QJOGWEQJBMZHENLEORSZ@3029' \
--header 'appname: API_sensor' \
--header 'clientsecret: SCGUDQPLDJWPQUUZNZUP1647865623803'

Last 10 mins data with sensor ID as parameter:

curl --location --request GET 'https://app.bdb.ai/services/api/sensor_api?sensorid=P1_U1M2S2' \
--header 'clientid: QJOGWEQJBMZHENLEORSZ@3029' \
--header 'appname: API_sensor' \
--header 'clientsecret: SCGUDQPLDJWPQUUZNZUP1647865623803'