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Description
Set up the IoT simulator to transmit real-time messages that can either fall within a specific range or derive from a random assortment of values, taking into account both time and client factors. The system should replicate dynamic messages in two formats, TEXT and JSON, closely mimicking the functionality of actual IoT devices. It will facilitate the transmission of four distinct types of dynamic values, including system variables like timestamps and client identifiers, as well as random, range-based, linear, and constant values, allowing for diverse data publication in each sequence to effectively align with genuine device behavior. Users can configure IoT events by uploading a predefined dataset via a CSV file using the CSV Importer feature. Each command dispatched to the edge device or IoT endpoint will generate a response from the device upon completing the requested action. Additionally, users can create realistic scenarios with automatic responses through Behavior Simulation, an engine designed to reply to subscribers based on the messages and topics received. Once a simulation request is initiated, the virtual connected devices commence data publication to the endpoint, ensuring seamless interaction within the simulated environment. This comprehensive setup enhances the realism of IoT simulations, bridging the gap between theoretical modeling and practical application.
Description
Imubit’s artificial intelligence platform provides instantaneous, closed-loop optimization of processes in heavy industries by integrating a dynamic process simulator, a reinforcement-learning neural controller, and performance monitoring dashboards. The dynamic simulator utilizes extensive historical plant data and is informed by fundamental principles to create a virtual representation of actual processes, facilitating what-if analyses regarding variable interactions, changes in constraints, and adjustments in operational strategies. Meanwhile, the reinforcement-learning controller, which has been trained offline using millions of trial-and-error scenarios, is employed to continuously optimize control variables, thereby enhancing profit margins while adhering to safety constraints. Real-time dashboards monitor the availability of the model, user engagement, and operational uptime, while also providing interactive visual representations of boundary conditions, operational limits, and trends in key performance indicators. Applications of this technology include synchronizing economic strategies with real-time operational data and identifying instances of process deterioration, ensuring enhanced efficiency and safety across operations. This comprehensive approach empowers industries to adapt swiftly and effectively to changing conditions.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
Salesforce
Integrations
Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
Salesforce
Pricing Details
$599 per year
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Bevywise Networks
Founded
2016
Country
United States
Website
www.bevywise.com/iot-simulator/
Vendor Details
Company Name
Imubit
Founded
2016
Country
United States
Website
imubit.com
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization