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School home hotel electricity monitoring integrated microgrid energy management system

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School home hotel electricity monitoring integrated microgrid energy management system

T@ Energy microgrid energy management system uses advanced intelligent integration technology, based on the B/S structure of energy management,The platform collects energy consumption and operation information of energy consumption monitoring points (power distribution,lighting,air conditioning,elevators,water supply and drainage,hot water units and key equipment),then forming a classification of energy consumption,sub-item and sub-area statistics, It is important to help customers to make more efficient use of energy,thereby achieved the goal of "energy-saving management","Green energy efficiency".
FEATURES AT A GLANCE
Energy efficiency management layer
Completing the data collection, calibration, analysis, processing, output, system maintenance, authorized use, authority grading control; and could send the important data for on site, alarm information, fault information to the enterprise decision-making.
Network communication layer
The area's electrical power collection module is connected to the relative communication manager machine by transmission methods on site, such as RS485, Ethernet, GPRS, Zigbee, WIFI and so on; every communication manager through the user's local area network to connect to the central server.
On site devices layer
Data collection layer is responsible for the collection and upload of the parameters of electricity, water, gas, heating and
cooling and environment. It is consists of multi-function power meters, multi-function energy meter, smart water meter, smart gas meter, temperature and humidity sensors and other collection devices.

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Function feature:

1.Energy consumption data collection.
2.Energy consumption trend analysis.
3.Energy saving footprint.
4.Report form service.
5.B/S Access interface.
6.Group energy management model.
7.Power Quality Management.
8.Energy consumption sub option analysis.
9.Energy consumption with time-sharing statistics.
10.Energy consumption multi-dimensional analysis.
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