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What is C3 AI Sensor Health?

C3 AI® Sensor Health ensures the seamless functioning of IoT devices and their associated network infrastructure during both the setup and operational stages. It enables users to visualize sensor statuses, monitor deployment progress, and identify geographic regions needing attention, all while offering a prioritized list of sensors flagged for health issues. By leveraging this platform, users can detect problems in sensor deployment, trace the causes of malfunctions, optimize field service operations, and anticipate future deployment enhancements. Maintaining precision, consistency, and current installation data across both source and cloud systems is essential for effective management. Moreover, the platform allows for continuous monitoring and analysis of the physical integrity, functionality, and communication capabilities of sensor devices, which significantly improves field service efficiency and problem resolution. Users can compare planned sensor installations with actual deployment and provisioning updates, as well as monitor operational challenges and trends related to devices, enabling them to prioritize service tasks effectively. The system also produces extensive analyses and consolidates findings through both standardized and tailored reports, encompassing aspects such as failure analysis and health evaluations, thereby providing crucial insights for informed decision-making. In addition, this comprehensive solution not only streamlines the management of IoT ecosystems but also fosters innovation in sensor technology and data utilization. Overall, C3 AI® Sensor Health significantly enhances the oversight and performance of interconnected device networks.

What is ARGUS Smart Vibration Analyzer?

The ARGUS Tri-axial wireless vibration analyzer presents a groundbreaking solution for predictive maintenance, enabling the evaluation of motor health alongside other connected machinery like pumps, fans, and compressors. This instrument is designed for efficient condition monitoring of rotary equipment, allowing for the early detection of faults that could lead to equipment failures, thereby reducing maintenance costs and extending the life of assets significantly. Its compact design, along with an IP65 rating, ensures reliable data collection for continuous monitoring and remote diagnostics. Capable of measuring vibrations across three axes simultaneously, it operates effectively as both a Single-axial and Tri-axial sensor. Users can effortlessly access and archive RMS values for Velocity and Acceleration, in addition to Time waveforms and FFT spectrums for both metrics, all via the specialized ARGUS app on their smartphones. The device also boasts versatile mounting options—magnet, adhesive, or stud—allowing for straightforward installation in a variety of settings. Ultimately, the ARGUS Tri-axial analyzer is an indispensable tool for anyone focused on preserving peak equipment performance and reliability.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Google Cloud Platform
HPE Industrial IoT
JewelSuite
Microsoft 365

Integrations Supported

Amazon Web Services (AWS)
Google Cloud Platform
HPE Industrial IoT
JewelSuite
Microsoft 365

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

C3 AI

Company Location

United States

Company Website

c3.ai/products/c3-sensor-health/

Company Facts

Organization Name

Signals & Systems (India) Pvt Ltd

Date Founded

1995

Company Location

India

Company Website

www.sandsindia.com

Categories and Features

IoT Analytics

Activity Dashboard
Activity Tracking
Analytics
Asset Tracking
Data Collection
Data Synchronization
Data Visualization
ETL
Multiple Data Sources
Performance Analysis
Real-Time Analytics
Real-Time Data
Real-Time Monitoring
Status Tracking

Categories and Features

Equipment Maintenance

Customer Database
Dispatch Management
Equipment Tracking
Inventory Control
Job Management
Maintenance Scheduling
Warranty Tracking
Work Order Management

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