Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Gain comprehensive understanding of battery drain throughout the product development process, enabling you to anticipate challenges and prevent reactive problem-solving. The Otii Arc, a sophisticated power analyzer and supply, is bundled with the feature-rich standard Otii software at no cost. Tailored for engineers working on hardware, firmware, and software, the Otii Arc showcases remarkable adaptability. This device functions as a two-quadrant source measure unit (SMU) that offers both constant voltage and constant current sourcing and sinking, complemented by a highly accurate multichannel multimeter. You can configure it as a constant, linear power supply or utilize it as a power analyzer or profiler to capture and display real-time data on currents, voltages, and UART logs. With the capability to measure currents with nA resolution and a sampling rate of up to 4 ksps, it stands out in precision. Moreover, it features a robust and user-friendly desktop application compatible with Ubuntu, Windows, and macOS, allowing for seamless data collection and analysis from the Otii Arc, with the added functionality of exporting data in widely used formats, thus enhancing your development workflow.
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
$620 one-time payment
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
Qoitech
Founded
2017
Country
Sweden
Website
www.qoitech.com/otii/
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization