IOT News

Industry Background

With economic development and social progress, energy consumption has become an increasingly prominent issue. Traditional campuses commonly suffer from problems such as extensive energy management and severe resource waste. According to the 2022 China Building Energy Consumption and Carbon Emissions Research Report, the total energy consumption of the building sector nationwide in 2020 reached 2.27 billion TCE, accounting for 45.5% of the country's total energy consumption, with total carbon emissions of 5.08 billion TCO₂. Therefore, effective energy-saving management of buildings is of great significance for achieving "dual control of energy and carbon."

Industry Pain Points

Incomplete Data Acquisition – Traditional energy monitoring methods rely mainly on manual meter reading, which is not only inefficient but also prone to errors.
Lack of Real-Time Monitoring – Abnormal energy consumption cannot be detected and addressed in a timely manner, leading to energy waste.
Insufficient Data Analytics Capabilities – Comprehensive analysis of historical data is difficult, making it hard to formulate effective energy-saving strategies.
High Operational Management Costs – Maintenance personnel must spend substantial time and effort on routine inspections and fault troubleshooting.

Solution Overview

To address these pain points, WideIOT offers a smart campus building energy consumption monitoring system solution based on energy monitoring gateways. By connecting multiple water meters, electricity meters, and other devices across campus buildings for data acquisition and integrating the data into a smart campus energy management platform, the system enables real-time energy monitoring, abnormal alerting, remote control, and data analytics. This effectively empowers energy-saving and low-carbon building management, promotes rational energy utilization, reduces energy costs, and supports orderly progress toward sustainable development.

System Functions

Real-Time Monitoring – Through data acquisition from electricity meters, water meters, and other devices, the system enables real-time online monitoring to ensure data accuracy.
Intelligent Alerts – When abnormal energy consumption is detected, the system automatically triggers alerts, notifying relevant personnel for timely action.
Data Analytics – Leveraging big data technologies, the system performs multi-dimensional analysis of historical energy consumption data and generates detailed reports and charts.
Energy Efficiency Assessment – Based on actual energy consumption conditions, the system provides scientific and rational energy-saving recommendations to help users reduce operating costs.
Remote Control – Supports remote switching and adjustment of equipment operating status, as well as scheduled on/off strategies—improving management efficiency.