Internet-of-things technology based energy efficiency assessment and diagnosis cloud system and method

Abstract

An internet-of-things technology based energy efficiency assessment and diagnosis cloud system and method are disclosed. The system comprises a cold-hot source control subsystem (1). The system is characterized in that: the cold-hot source control subsystem (1) is connected with a chilled water conveying control apparatus (2), a refrigeration optimization control apparatus (4) and an environmental parameter acquisition unit (7) respectively; the cold-hot source control subsystem (1) is connected with the downlink connection end of an Ethernet (19); and the uplink connection end of the Ethernet (19) is connected with a cloud server (20). According to the system and the method, dynamic energy efficiency assessment is performed by adopting a fuzzy algorithm for data collected by an energy consumption node in each stage and each control unit, corresponding system energy consumption comparison table and energy consumption optimization suggestion table are generated through an anti-fuzzy algorithm with a centroid method, and original data can be provided for carbon transaction, so that the difficult problem that an existing energy service enterprise cannot obtain objective original energy consumption data is effectively solved; and therefore, the system and the method are particularly suitable for centralized and unified monitoring and convenient management of cold-hot source stations of central air conditioners in public buildings.

Description

technical field [0001] The invention relates to an energy efficiency assessment and diagnosis cloud system, in particular to an energy efficiency assessment and diagnosis cloud system and method based on Internet of Things technology, belonging to the technical field of energy conservation and environmental protection. Background technique [0002] The total energy consumption of buildings in my country accounts for about 19.1% of the total energy consumption in the country. Among them, the energy consumption of public buildings accounts for about 26.4% of the total energy consumption of buildings. Providing the energy consumption level of public buildings is of great significance to reduce the energy consumption of buildings in our country. [0003] Central air-conditioning is the main energy-consuming equipment in large public buildings, and its energy consumption accounts for 50%-60%. For a long time, design redundancy and unreasonable phenomena in construction have led ...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the problem that the existing energy efficiency evaluation structure is simple, and the data of each energy consumption node is scattered, which is not conducive to remote collection and centralized processing. The defects and deficiencies of energy-saving optimization provide a high degree of intelligence, which can remotely collect and centrally process the data of scattered energy-consuming nodes, and can quickly form an energy-efficiency evaluation and diagnosis structure, which is conducive to the energy-saving optimization and control of energy-consuming equipment in the system network. An energy efficiency evaluation and diagnosis cloud system and method based on the Internet of Things technology with greatly improved precision and accuracy

Images