# Machine Sensors – Dashboard

## **Interface of the Dashboard**

The oil & gas dashboard provides information about sensors & alerts

**The dashboard has two tabs**

### **Incident Action Tab**

<div align="left"><figure><img src="https://1639562757-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FijvHnz0DM3Img2NKY2aa%2Fuploads%2FTCpzZBndluPClgJHAJnj%2Fimage.png?alt=media&#x26;token=1e281f35-bde1-4840-ab2c-5d1ae2328386" alt=""><figcaption></figcaption></figure></div>

### **Incident Details Tab**

<div align="left"><figure><img src="https://1639562757-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FijvHnz0DM3Img2NKY2aa%2Fuploads%2FKsu5mwVj2S3r6pCQiWIN%2Fimage.png?alt=media&#x26;token=ed5c25ff-24db-49f2-b87a-b59b650fe382" alt=""><figcaption></figcaption></figure></div>

## Incident Details Tab Filter Panel

<figure><img src="https://1639562757-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FijvHnz0DM3Img2NKY2aa%2Fuploads%2F4a00bI9puDZcS5x2OB77%2Fimage.png?alt=media&#x26;token=d60e71cf-3fd4-4255-ad21-c24b1c6742e9" alt=""><figcaption></figcaption></figure>

* The above filter panel has four options.
  * The ***Plant*** filter helps to select one of the plants.
  * The ***Unit*** filter will show units for the selected plant. Here, the user should select one of the units.
  * The ***Sensor*** filter will show sensors for the selected unit. Here, the user should select one of the sensors.
  * ***From*** & ***To*** are date range filters. Users can select a date by using the ‘From’ & ‘To filter options’. The dashboard will display data for that period.
  * The user should click on the ***Apply*** button to visualize KPIs for the selected filters.

&#x20;

## **Tab Tile**

<figure><img src="https://1639562757-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FijvHnz0DM3Img2NKY2aa%2Fuploads%2FEcQjryzE1Dog1pKbZXFp%2Fimage.png?alt=media&#x26;token=3a3f3fae-4fdb-41cf-8156-4a34aa48ebdf" alt=""><figcaption></figcaption></figure>

* The ***Incident Action*** tab shows details about issue tickets mainly the number of tickets by assignee, issues by status, and incident summary about issue tickets.
* The ***Incident Details*** tab shows incident details about sensors.

## **The KPIs provided in the dashboard are as follows**

### &#x20;**Incident Action Tab**

<figure><img src="https://1639562757-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FijvHnz0DM3Img2NKY2aa%2Fuploads%2FGI22VGsNnUgmtrNC98aj%2Fimage.png?alt=media&#x26;token=ee90bd52-0d87-47bc-a1a4-7fede3536431" alt=""><figcaption></figcaption></figure>

* The ***Total Ticket*** tab shows the total number of issued tickets.
* The ***In-Progress Ticket*** tab shows the total number of tickets where the status is in progress.
* The ***Closed Ticket*** tab shows the total number of closed tickets.

#### **Number of Tickets by Assignee**

<div align="left"><figure><img src="https://1639562757-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FijvHnz0DM3Img2NKY2aa%2Fuploads%2FhQ0TRuLmNitzpIpYEJrl%2Fimage.png?alt=media&#x26;token=3e019d74-0e7f-406e-8801-ca40c5aceed5" alt=""><figcaption></figcaption></figure></div>

* This KPI shows no. of issues assigned to the respective engineers.

#### **Issues by Status**

<div align="left"><figure><img src="https://1639562757-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FijvHnz0DM3Img2NKY2aa%2Fuploads%2FlgUnN4WKvVhxJSqOJGf5%2Fimage.png?alt=media&#x26;token=7fd81ebc-b7c1-4393-9dcc-1f0ff06f01b9" alt=""><figcaption></figcaption></figure></div>

* This KPI shows the total no of issues by status in Percentage.

#### **Incident Summary**

<figure><img src="https://1639562757-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FijvHnz0DM3Img2NKY2aa%2Fuploads%2FweR3UAetrZu83HbysZQ8%2Fimage.png?alt=media&#x26;token=135fc9f9-e63d-444c-b3aa-5a7c56976ce3" alt=""><figcaption></figcaption></figure>

* This KPI shows the detailed Jira ticket incident of which the sensor gave the alert and description, etc.
* From here you can change the assignee, and the status of the ticket, you can also pass a comment on the issue ticket

<div align="left"><figure><img src="https://1639562757-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FijvHnz0DM3Img2NKY2aa%2Fuploads%2F9FVXgj1cZUU50rfnfcQe%2Fimage.png?alt=media&#x26;token=2b8e6a17-e698-4e38-b3b6-f48df3d95066" alt=""><figcaption></figcaption></figure></div>

### &#x20;**Incident Details Tab**

#### **Incident Details**

<figure><img src="https://1639562757-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FijvHnz0DM3Img2NKY2aa%2Fuploads%2F3sfYazBoiXazDOBtSlFG%2Fimage.png?alt=media&#x26;token=082fb011-bd5a-4032-9973-7c8e71df2f3c" alt=""><figcaption></figcaption></figure>

* The ***Incident Details*** provides the average value of the sensor on a daily, weekly, and monthly basis.
* In the ***Daily*** filter, you can drill down to hours, minutes, and seconds.
* Based on the above-clicked filter, the chart will tailor the data.

#### **Incident Details -All Page Grid**

<figure><img src="https://1639562757-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FijvHnz0DM3Img2NKY2aa%2Fuploads%2FQe8ORKDYrMr7iUxAGKS0%2Fimage.png?alt=media&#x26;token=383fb878-b4d9-4462-b751-3a9e88c4edbe" alt=""><figcaption></figcaption></figure>

* This KPI provides the details of the history of Alerts Data which will give Value, Timestamp, Plant ID, Machine ID, Sensor ID, etc.

#### **Live Alert Indicator**

<figure><img src="https://1639562757-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FijvHnz0DM3Img2NKY2aa%2Fuploads%2F8dg5TvJijIhhtQs3l5hd%2Fimage.png?alt=media&#x26;token=8e4854f8-0371-4c1c-8816-4dd0916bf491" alt=""><figcaption></figcaption></figure>

* The ***Live Alert Indicator*** KPI on the top right corner of the dashboard shows the live alert indicator which subsequently shows the Sensor ID, Value, and Timestamp of the anomaly data.

### Modules Used

* Data Pipeline
* DS Lab
* Designer
* Data Center – Data as API

### Team

* Data Pipeline Engineer
* Data Scientist
* Dashboard Engineer
* QA

{% hint style="info" %}
*<mark style="color:green;">Please Note</mark>: With the BDB Platform (V-7.0), the solution took only 20 man-days to build and productionize.*
{% endhint %}