Does EAM support IOT capabilities for CNC machines

[MoeBacht]

Hello, 

We are on our way to start using servicenow EAM, we are asking if we can collect IOT data from CNC machines and provide heath, status, alarm dashboards on Servicenow

Is it something supported by servicenow ? I didn't find any technical documentation about this topic

Thanks

[edneyimme]

ntegrating IoT Data with ServiceNow EAM
To collect IoT data from CNC machines, you'll need to set up a process that allows your machines to send data (like performance, health, and alarms) to ServiceNow. There are a few methods to achieve this integration:

A. Using ServiceNow IoT Integration
ServiceNow provides an IoT Integration feature that allows you to integrate data from IoT devices into the platform. This can be done using the IoT Sensor and IoT Rule Engine.

IoT Sensors: You’ll need to configure sensors or middleware that can communicate with the CNC machines and collect data like performance metrics (e.g., speed, temperature, vibrations, etc.) and status information.

IoT Rules: ServiceNow’s IoT Rule Engine can be used to process incoming data from CNC machines. You can set up rules that define how this data should be interpreted and what actions should be taken when certain conditions are met (e.g., an alarm or health status issue).

B. Middleware or IoT Gateway
If your CNC machines are not natively integrated with ServiceNow, you might need to use a middleware or an IoT gateway. These solutions can aggregate data from your CNC machines and then push it to ServiceNow.

IoT Gateway: An IoT gateway can connect your CNC machines to ServiceNow through REST APIs or integration platforms like Mulesoft or Dell Boomi. The data can be sent to ServiceNow as events, records, or messages.

C. Using SNMP (Simple Network Management Protocol) or OPC (Open Platform Communications)
Some CNC machines may support SNMP or OPC protocols for sending real-time operational data. You can integrate these protocols with ServiceNow using custom scripts or third-party middleware to collect the data and push it to your ServiceNow platform.

2. Displaying Health, Status, and Alarm Dashboards
Once the IoT data is integrated into ServiceNow, you can create dashboards and views to monitor the health, status, and alarms of your CNC machines.

A. ServiceNow Performance Analytics Dashboards
Health Metrics: Create custom Performance Analytics widgets to display key health indicators of CNC machines, such as temperature, vibration, pressure, etc.

Alarm Dashboards: Use Event Management or Incident Management to trigger alerts based on thresholds (e.g., machine overheating or operational failure). These alarms can be visualized on dashboards, with real-time updates.

B. Asset and Work Order Dashboards
ServiceNow EAM can be leveraged to create dashboards that display information on asset health, including:

Asset Health Status: Using the Asset table and custom fields, you can track and visualize the health and status of each CNC machine.

Work Orders and Maintenance Schedules: Set up dashboards that show open work orders related to CNC machines, their statuses, and upcoming maintenance tasks based on health data from IoT integration.

C. Alerts and Notifications
You can configure alerts and notifications based on the health data coming in from the CNC machines. For example, you could set up:

Automated Alerts when specific thresholds (like temperature or vibration levels) are exceeded.

Work Order Creation based on incoming IoT data, automatically generating a maintenance request when an alarm condition is met.

3. IoT and Predictive Maintenance
With the integration of IoT data, you can also implement predictive maintenance within ServiceNow EAM. By analyzing historical IoT data, you can predict potential failures or maintenance needs before they occur, which can be displayed on dashboards and trigger automated workflows for preventive actions.

Predictive Maintenance: Using the IoT data, you can set up machine learning algorithms that analyze the data and predict when the machine is likely to fail or require maintenance. This can be integrated with Maintenance Schedules in ServiceNow to plan maintenance before issues arise.

Condition-Based Maintenance: Instead of performing routine checks, maintenance can be performed based on actual machine condition (using IoT data), helping to reduce unnecessary downtime.

4. Key Considerations for Integration
Data Volume and Frequency: CNC machines can produce large amounts of data. Make sure you have the right infrastructure in place to handle the volume and frequency of incoming data.

Real-Time Processing: You may need to implement a solution that can handle real-time or near-real-time data to trigger alerts and maintenance activities instantly.

Security: Ensure that the data being sent from CNC machines to ServiceNow is securely transmitted, particularly if you're dealing with sensitive operational data.

5. Required Tables in ServiceNow
alm_asset: This table holds the details of the CNC machines and other assets. You’ll link these assets to the IoT data.

work_order: Used for tracking maintenance tasks associated with the CNC machines.

cmdb_ci_computer: If the CNC machines are classified as Configuration Items (CIs) in the CMDB, they’ll be linked to this table as well.

event and incident: For capturing alarms and translating them into incidents or alerts in ServiceNow.

asset and incident_management: If an alarm triggers a need for work or further investigation, this data can be pushed to these tables for resolution.

6. Sample Dashboard Views
Asset Health Overview: A real-time health view of all CNC machines, showing temperature, operational status, and uptime.

Alarm Dashboard: Display critical alarms for each machine, including urgent maintenance tasks.

Predictive Maintenance Dashboard: Visualize predicted failure points and the remaining useful life of each CNC machine based on IoT data.

[edneyimme]

https://docs.servicenow.com/

You can search within this documentation for keywords like "IoT Integration", "IoT Sensor", and "IoT Rule Engine" to find specific setup instructions.