Energy consumption simulating and energy-saving diagnosis platform for typical energy using system based on cloud technique

Abstract

The invention discloses an energy consumption simulating and energy-saving diagnosis platform for a typical energy using system based on a cloud technique. The energy consumption simulating and energy-saving diagnosis platform comprises a cloud technique platform, a user client, a user handheld mobile terminal and a merchant client, wherein the cloud technique platform is arranged as a carrier for service uploading and information publishing and is mainly used for sending the service information to the user and receiving the service updating and uploading commands from the merchant client; the user can utilize the user client and the user handheld mobile terminal to perform service customization on the terminal and receive the corresponding service information; the user can enjoy the corresponding service at any time through the user handheld mobile terminal. The energy consumption simulating and energy-saving diagnosis platform for the typical using energy system based on the cloud technique has the characteristic of closed loop dynamic optimization in the implementation process; the advantage of requirement-based distribution of the cloud technique is utilized; the B / S and M / S hybrid frame can be used for promoting the reasonable allocation of the cloud service and user group and extremely excavating the energy-saving potential and operation skill of the project.

Description

technical field

[0001] The invention relates to a system and method for processing energy consumption data of an energy-using system, in particular to a cloud-based technology-based energy consumption simulation and energy-saving diagnosis platform for a typical energy-using system. Background technique

[0002] At present, in the process of carrying out energy-saving services for typical energy-consuming systems (motors, boilers, air-conditioning, etc.), the difficulties encountered are mainly manifested in: 1) Lack of research on energy consumption models of typical energy-consuming systems, which reduces energy consumption 2) Energy conservation assessment standards are different, and there is a lack of comprehensive energy conservation diagnostic tools; 3) Risks in the implementation of energy conservation projects are characterized by diversity, and there is a lack of mature assessment and management systems to coordinate the energy conservation market and projects. Hea...

Images