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KorEMS

KorEMS is a mobile application software designed specifically for users in the energy storage industry

KorEMS is a mobile application software designed specifically for users in the energy storage industry

KorEMS

by 珠海科创储能科技有限公司
KorEMS
KorEMS
KorEMS

What is it about?

KorEMS is a mobile application software designed specifically for users in the energy storage industry. In order to improve the utilization efficiency of energy storage devices and optimize energy management, we are committed to developing an energy storage cloud platform APP to provide more efficient and convenient energy storage management solutions. Through this software, users can access information services such as real-time status, real-time alarms, rechargeable and discharged power, and power station revenue of energy storage stations anytime and anywhere.

KorEMS

App Details

Version
2.0.5
Rating
NA
Size
33Mb
Genre
Utilities
Last updated
November 22, 2024
Release date
August 21, 2024
More info

App Screenshots

KorEMS screenshot-0
KorEMS screenshot-1
KorEMS screenshot-2
KorEMS screenshot-3

App Store Description

KorEMS is a mobile application software designed specifically for users in the energy storage industry. In order to improve the utilization efficiency of energy storage devices and optimize energy management, we are committed to developing an energy storage cloud platform APP to provide more efficient and convenient energy storage management solutions. Through this software, users can access information services such as real-time status, real-time alarms, rechargeable and discharged power, and power station revenue of energy storage stations anytime and anywhere.
[Functional Features]
1. Real time monitoring:
Real time collection of operational data of energy storage devices through IoT technology, such as battery level, alarms, charging and discharging status, etc.
2. Data analysis:
Provide energy usage reports and energy-saving recommendations through analysis of historical data.
3. Remote management:
Realize remote control and parameter adjustment of energy storage devices through cloud computing platforms.
4. Predictive maintenance:
Combining big data analysis to predict potential equipment failures, conducting maintenance in advance, and improving equipment operational efficiency.

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