The online energy consumption monitoring management platform is an industrial data monitoring system based on cloud computing and Internet of Things technology, and consists of two parts: the online part of the cloud platform system, which is the core part of the system; and the data collection system at the enterprise site.
The data collection system collects on-site data and uploads it to the cloud platform, which runs a variety of applications to realize different functions, including those for government, enterprises, service providers and other big data applications. Users can access the system through websites, A P P , and other kinds of clients. Depending on the user's needs, the platform sets different permissions, and users can only apply authorized functions to authorized objects.
For most enterprises that have not realized automatic data collection, information is sensed, measured, stored and uploaded when intelligent collection equipment is installed in all aspects of enterprise energy use. The non-stop installation method is adopted to minimize the impact on business operations. The new intelligent collection module adopts a new industrialized design and integrates CT, metering and communication functions.
The online monitoring system for energy consumption of key energy-using units (ACREL CLOUD-5010ZFK) realizes long-term and real-time monitoring of the company's energy information, provides an intuitive and scientific basis for energy conservation and reduction of consumption, identifies weaknesses in the company's use of energy, promotes the further improvement of the company's management level as well as further reduction of operating costs, and guarantees the normal operation of the company's energy operations.
The enterprise energy management program has the following functions:
l Unattended platform management, flexible and instant access to the node;
l The use of metering for the full coverage, the full collection;
l Unattended, automatic monitoring around the clock;
l Automatic classification of statistics, automatic analysis of the efficiency of the equipment energy consumption;
l 24 hours into the real-time monitoring of low energy quality equipment, processes;
l monitoring data real-time, real, reliable;
l 24-hour warning alarms, pre-judgment of the possibility of failure of the node problem;
l energy consumption trend prediction, improve economic efficiency;
l mobile APP, 24 hours to get a first-hand information;