A cloud system and method for energy efficiency evaluation and diagnosis based on Internet of Things technology

Abstract

An energy efficiency evaluation and diagnosis cloud system and method based on Internet of Things technology, including a cold and heat source control subsystem (1), characterized in that: the cold and heat source control subsystem (1) is connected with the refrigerant water delivery control device (2 ), the refrigeration optimization control device (4) and the environmental parameter acquisition unit (7), the cold and heat source control subsystem (1) is connected to the downlink connection end of the Ethernet (19), and the uplink connection of the Ethernet (19) The terminal is connected with the cloud server (20). The present invention adopts a fuzzy algorithm for dynamic energy efficiency decision-making based on the data collected by energy consumption nodes and control units at all levels, and generates the corresponding system energy consumption comparison table and Energy consumption optimization suggestion form, and can provide original data for carbon trading, effectively solving the problem that existing energy service companies cannot obtain objective original energy consumption data, especially suitable for centralized and unified monitoring and monitoring of central air-conditioning cold and heat source stations in public buildings Convenient management.

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 ...

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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

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