Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Parameter serves as an extensive monitoring solution designed to assist critical facilities in identifying, analyzing, and responding to environmental, leak, and equipment health challenges before they lead to failures. By consolidating data from RLE leak detection systems, battery monitoring (Cellwatch), and environmental observations, it creates a cohesive system that delivers real-time insights to building management systems (BMS) via standard protocols such as SNMP, BACnet, and Modbus. The platform is adaptable, enabling monitoring capabilities that range from individual racks to large-scale operations, while ensuring accurate detection of fluid leaks with location mapping, ongoing surveillance of temperature, humidity, airflow, CO2, and power conditions, as well as comprehensive battery health analysis for UPS and backup systems. Parameter’s offerings include instant alerts and actionable insights through web interfaces that can be accessed from any browser or device, facilitating prompt responses and proactive maintenance to enhance operational uptime. This powerful tool not only improves efficiency but also fosters a proactive approach to facility management, ultimately ensuring a more resilient infrastructure.
Description
Our advanced battery analytics platform delivers state-of-the-art solutions for monitoring, analyzing, and optimizing battery performance. By utilizing a variety of machine learning techniques and battery-specific algorithms, we ensure accurate results across diverse scenarios. The platform features an API that allows for seamless integration with third-party applications, such as fleet management systems. Instead of relying on guesswork, laboratory experiments, and cumbersome manual data management, users can conduct virtual testing and enjoy automated handling of lab data. The model library enables users to effectively test battery cells in a virtual environment, further enhancing the development process. Our data management software solutions also facilitate the efficient organization of lab data, allowing for better decision-making. By utilizing field data analytics, you can optimize your development efforts. The TWAICE battery model library grants access to a wide array of high-fidelity electrical, thermal, and aging models of the latest lithium-ion battery cells available on the market today, ensuring that you have the most accurate and up-to-date resources for your projects. This comprehensive approach not only streamlines the research and development process but also significantly accelerates innovation in battery technology.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Modbus RTU
No
SNMP .Net Component
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
No
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Parameter
Founded
2024
Country
United States
Website
parameter-tech.com
Vendor Details
Company Name
TWAICE Technologies
Country
Germany
Website
twaice.com
Product Features
Facility Management
Asset Management
No
Commercial Properties
No
Equipment Management
No
Facility Scheduling
No
Incident Management
No
Inspection Management
No
Inventory Control
No
Maintenance Tracking
No
Preventive Maintenance
No
Residential Properties
No
Room Scheduling
No
Schools
No
Space Planning
No
Vendor Management
No
Visitor Management
No
Work Order Management
No
Product Features
Predictive Analytics
AI / Machine Learning
No
Benchmarking
No
Data Blending
No
Data Mining
No
Demand Forecasting
No
For Education
No
For Healthcare
No
Modeling & Simulation
No
Sentiment Analysis
No