IOT News

With the rapid development of society and the economy, the operational capabilities of industrial campuses continue to improve. Enterprises, industries, policies, capital, talent, and other factors together create a vibrant, ecosystem-based development space—shaping the move-in requirements of different enterprises and becoming an important criterion for business clustering.

Optimized energy management is a valuable advantage in attracting enterprises to a campus. By building a campus energy IoT system, operations management personnel can achieve centralized energy management and precise metering, providing strong data support for energy-saving optimization. This effectively reduces energy costs, improves energy utilization efficiency, and promotes energy-saving and efficiency-enhancing development for both the campus and its enterprises.

Through WideIOT industrial smart gateways, water meters, electricity meters, gas meters, and other devices are connected for data acquisition. The data is transmitted to the campus energy management platform via 5G/4G/Wi-Fi/Ethernet. With functions such as data dashboards, operational monitoring, alarm control, and maintenance management, the platform enables refined energy management and precise maintenance from a single system—improving energy utilization efficiency and management effectiveness.

Functions

Connects electricity meters, water meters, gas meters, PLCs, lighting, elevators, air conditioning, charging piles, photovoltaic systems, and other equipment for data acquisition—enabling real-time monitoring of energy-using entities such as the campus, enterprises, and individual buildings, with categorized management on the platform.

Automatically triggers alerts when abnormal faults are detected in various energy devices, with notifications via WeChat, SMS, or email providing alarm details for timely handling. Remote control measures are appropriately applied to strengthen management.

Establishes visualized data dashboards for campus energy consumption, providing a centralized view of energy consumption changes. Users can also retrieve energy consumption trend curves for specific time periods—enabling the formulation of scientific and rational energy-saving strategies and targets, progressively achieving energy conservation, emission reduction, and sustainable development.

Through various algorithms and conditions, the system rationally analyzes historical energy consumption data, distinguishing energy usage across different dimensions such as equipment type and energy type. Data can be integrated with national regulatory platforms to fulfill social responsibility.

Generates energy reports and electricity bill reports, providing on-demand access to information such as electricity consumption rankings, energy types, and demand changes. This supports intelligent strategies—such as peak-valley electricity pricing and photovoltaic energy storage—to regulate energy structure and management mechanisms, reducing energy costs.