Platform introduction

The smart energy energy-saving service cloud platform adopts the Internet of Things technology and accesses a large number of smart sensor controllers through the OneNET platform to monitor the use of water, electricity, and gas, so as to realize the lighting, air conditioning, boilers, and power distribution in the building. , Power, environment and other special systems for real-time data collection and switch state monitoring, and finally provide energy-saving management cloud platform services for centralized remote energy monitoring and management.

The smart energy energy-saving service cloud platform implements comprehensive automated monitoring and management of various equipment in the building, while achieving energy saving and emission reduction, it can provide users with a safe, comfortable, convenient and efficient working and living environment, and enable the entire system and its All kinds of equipment are in the best working condition, so as to achieve the purpose of extending the life of electromechanical equipment in the building, reducing management costs, and reducing the overall energy consumption of the building. It is a modern, information and intelligent equipment management system.

Function introduction

1. Real-time monitoring of energy consumption

Real-time display of real-time operating parameters of monitoring nodes, water, electricity, and air conditioning, as well as environmental parameters such as indoor and outdoor temperature, humidity, and illuminance, can query and display the current on-off status of all devices within the query range in real time.

2. Statistical analysis of energy consumption data

Perform statistics on energy consumption data in different periods of time, day, month, and year, or in different regions, or different energy types, or different types of energy-consuming equipment. After analyzing total energy consumption, energy consumption per unit area and per capita energy consumption, standard coal conversion, and historical trends, and comparing energy data during the same period, real-time curves, historical curves, forecast curves, real-time reports, historical reports, daily/ Monthly reports and other data provide the basis for energy conservation management, provide data analysis for technical energy conservation, and predict energy consumption trends.

3. Provide fault query, expert energy-saving diagnosis and energy-saving solutions

The building energy-saving smart cloud platform uses deep learning data mining algorithms, combined with the energy consumption structure and business characteristics of the building, to predict energy consumption, visualize it in a curved manner, and optimize the operation control parameters of the equipment, and at the same time serve as managers and decision makers Provides support for energy decision-making, energy distribution and energy conservation optimization. The system is equipped with an expert suggestion database, which can automatically generate expert suggestion reports according to the user's energy consumption and energy consumption indicators, comprehensively reflecting the user's energy conservation awareness and management level.