In the automobile engine manufacturing industry, intelligent and digital management of energy is of great significance for reducing energy consumption costs, improving production efficiency, and promoting energy conservation and emission reduction. Traditional energy management methods mainly rely on manual collection, recording and judgment, and there are problems such as incomplete data collection, untimely recording, inaccurate analysis and untimely response. With the rapid development of industrial Internet of Things technology, smart energy management has become an important means for smart factories in various industries, including engine plants, to achieve efficient, intelligent and sustainable development.
The Industrial Internet of Things is a technology that realizes the interconnection and data sharing between devices, so as to realize equipment intelligence, production automation and resource optimization, which integrates PLC, sensors, actuators, embedded systems and network technologies to provide real-time monitoring, management and control functions, and at the same time assists big data analysis, better assists decision-making, and provides reliable data support for improving production efficiency, reducing costs and improving product quality.
The energy monitoring and energy-saving management platform provided by Digital Energy mainly includes the following applications:
1. Data collection: Through the industrial Internet of Things platform, it is connected with smart meters, PLCs and other devices at the edge of the network to realize real-time collection of equipment operation status, production process data, energy consumption data, environmental parameters and other data.
2. Data processing: standardize the real-time collected data, combine the specific business needs of the site, establish a visual model through data grouping, edge computing and other technologies, and realize the processing and analysis of the collected data, 3. Intelligent early warning: quickly respond to the abnormal alarm data of the power quality of the real-time smart meter and the equipment failure alarm, and notify through WeChat, SMS, email, etc., to control the power quality and energy consumption.
4. Data analysis: According to the results of data collection and analysis, establish energy-saving targets for each factory and workshop, and realize the comparative analysis of real-time energy consumption data and target data on the data screen, optimize and adjust abnormal energy consumption equipment, processes or time periods, and realize intelligent energy saving and consumption reduction.