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What is System 1?

System 1 serves as a comprehensive platform dedicated to the monitoring and diagnosis of conditions, aiming to enhance the reliability and performance of industrial machinery. By assimilating data from various sources, including vibration analysis, process controls, and operational metrics, it provides a holistic view of asset health. The platform easily integrates with edge data sources, gathering high-resolution information on vibrations and processes at intervals of up to one second. It supports industry-standard protocols like OPC UA, making data export straightforward and ensuring compatibility with existing systems. Moreover, System 1 includes customizable alarm settings and decision support tools, enabling users to formulate specific rules that yield deeper insights into machine efficiency and process parameters. This proactive approach is crucial for detecting potential issues before they escalate into failures. Additionally, the software incorporates a user-friendly Human-Machine Interface (HMI) builder that graphically represents plant assets, using color-coded indicators to effectively communicate machine health. Consequently, operators are empowered to make well-informed decisions based on real-time insights and data analytics. This capability not only streamlines operations but also enhances overall productivity within the industrial environment.

What is SeeMyMachines?

Deploy this industrial IoT system in your manufacturing facility, healthcare center, or similar establishment. Remain updated on the status of asset tracking and maintenance management. Prevent unforeseen production halts by monitoring machine conditions closely. Evaluate both current and historical data to assess equipment deterioration, facilitating timely maintenance actions. Track the positioning of medical devices while also supervising the movements of staff and patients. As an effective real-time location system, SeeMyMachines improves the management of mobile assets, thereby enhancing operational productivity within large healthcare environments. Furthermore, it allows you to remotely supervise turbines and solar panels across multiple energy production sites. Move towards a paperless inspection process and apply remote asset oversight to refine maintenance protocols and boost the performance of power facilities. In busy airports, monitor everything from tools to people through a connected ecosystem of devices and personnel. With a consolidated platform, you can oversee asset tracking, temperature regulation, staff locations, and much more. This cohesive strategy guarantees efficient operations across a variety of scenarios, ultimately leading to improved service delivery and operational effectiveness.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
Android
iPhone
iPad

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Baker Hughes

Company Location

United States

Company Website

www.bakerhughes.com/bently-nevada/system-1-condition-monitoring-software

Company Facts

Organization Name

QBurst

Date Founded

2004

Company Location

India

Company Website

seemymachines.com

Categories and Features

Condition Monitoring

Not specified

Machine Monitoring

Not specified

Categories and Features

Asset Tracking

Activity Tracking
Audit Trails
Depreciation Tracking
Disposal Tracking
Inventory Management
QR Codes
Service History

Condition Monitoring

Not specified

Equipment Maintenance

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

Industrial IoT

Not specified

Machine Monitoring

Not specified

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