Solution for Automated Data Collection Energy Monitoring System

More and more enterprises have recognized the importance of energy monitoring and optimization for cost reduction.

 They employ various instruments and meters to collect energy data, assigning dedicated personnel to conduct on-site maintenance, manually record data from these instruments and meters, and then compile, report, and manage the data through a hierarchical statistical process, establishing databases for data management. The drawback of this traditional approach lies in its low efficiency, high cost, and significant errors due to manual operations, which cannot meet the needs of large-scale data collection. Therefore, establishing an automated energy monitoring system is of great significance for enterprises to deepen management, implement national strategies, and achieve sustainable development.

In response, WideIOT offers a solution for an automated data collection energy monitoring system.

 Multiple smart meters such as electricity meters, water meters, and gas meters within a factory can be connected to the WideIOT energy data acquisition gateway, which enables real-time collection of data such as flow rates, electricity consumption, and gas flow, and performs edge computing. The data is then transmitted to cloud platforms or upper computers via 5G/4G/WIFI/Ethernet, enabling enterprises to monitor energy consumption across various factories, workshops, and equipment. This allows them to identify and address abnormal energy consumption, effectively reducing energy costs and facilitating the creation of digital smart factories.

Through the monitoring platform, enterprises can view real-time energy consumption data reports or curve charts for each factory, workshop, and piece of equipment, understanding trends in energy consumption and making informed, scientific decisions.

 For instance, by analyzing monthly reports on air conditioning system energy consumption and comparing year-over-year data, enterprises can gain insights into monthly electricity usage and costs for air conditioning, quickly pinpoint abnormal energy consumption, and take corrective actions to ensure equipment operates normally.

Simultaneously, enterprise energy consumption data can also be forwarded to national regulatory platforms for data sharing and collaborative management, facilitating better supervision. This not only aids enterprises in applying for relevant policy subsidies but also promotes energy structure transformation and enterprise upgrading.