Big data cloud platform based intelligent optimizing control method and device of central air-conditioning system

Abstract

The invention discloses a big data cloud platform based intelligent optimizing control method and device of a central air-conditioning system, and relates to the technical field of air conditioners. The device comprises a data transmission module, a server data platform, various sensors and a controller, wherein the data transmission module comprises a data filter module, a data I / O interface input end, a data I / O interface output end, an RS485 communication interface, a 4G / 5G communication interface, a WAN communication interface, a power supply and a data connection end port. According tothe method and the device, the influence of the running condition of each power device of the central air-conditioning system on the energy consumption of the whole system is comprehensively considered, so that the optimal energy saving effect of the central air-conditioning system can be further improved; a big data platform and an artificial intelligence algorithm are adopted, so that the accuracy of an energy consumption model or a performance model of the system power devices can be greatly improved; a high-dimensional optimizing model is solved by a biological evolutionary algorithm, thus the optimal calculation efficiency is effectively improved, and necessary conditions are supplied to online optimizing of a big central air-conditioning system.

Description

technical field [0001] The invention relates to the technical field of air conditioning, in particular to an intelligent optimization control method and device for a centralized air conditioning system based on a big data cloud platform. Background technique [0002] According to the "China Building Energy Consumption Research Report (2018)", in 2016, China's total building energy consumption was 899 million tons of standard coal, accounting for 20.6% of the country's total energy consumption; the annual energy consumption level of large public buildings is 1–3 times that of ordinary public buildings and 3–4 times that of residential buildings. A large part of the energy consumption in large public buildings comes from the centralized air conditioning system. Therefore, how to reduce the energy consumption of air conditioning in public buildings is an important content of my country's energy conservation and emission reduction work. In the design of air-conditioning systems...

AI Technical Summary

Problems solved by technology

However, this invention patent does not consider the energy consumption of the wind system, so in a strict sense, it cannot be called global optimization energy-saving control

In addition, the optimal energy-saving operating conditions of the system are based on the specific physical model of the energy-consuming components, and there is a large error between the physical model and the actual system, which leads to the failure of the optimal energy-saving control model of the system.

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