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...

Examples

Embodiment Construction

[0062] The following describes several preferred embodiments of the present invention with reference to the accompanying drawings, so as to make the technical content clearer and easier to understand. The present invention can be embodied in many different forms of embodiments, and the protection scope of the present invention is not limited to the embodiments mentioned herein.

[0063] Such as figure 1 As shown, the present invention is composed of five processes: data collection, data preprocessing, energy consumption model identification of power equipment based on intelligent learning algorithm, optimized energy-saving working condition calculation based on biological evolution algorithm and optimized calculation working condition feedback. The technical solution is discussed as follows.

[0064] 1. Data collection:

[0065] It is carried out by using a wireless terminal device (Data Transfer Unit, DTU) specially used to convert serial data into IP data or convert IP dat...

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...

Examples

Embodiment Construction

[0062] The following describes several preferred embodiments of the present invention with reference to the accompanying drawings, so as to make the technical content clearer and easier to understand. The present invention can be embodied in many different forms of embodiments, and the protection scope of the present invention is not limited to the embodiments mentioned herein.

[0063] Such as figure 1 As shown, the present invention is composed of five processes: data collection, data preprocessing, energy consumption model identification of power equipment based on intelligent learning algorithm, optimized energy-saving working condition calculation based on biological evolution algorithm and optimized calculation working condition feedback. The technical solution is discussed as follows.

[0064] 1. Data collection:

[0065] It is carried out by using a wireless terminal device (Data Transfer Unit, DTU) specially used to convert serial data into IP data or convert IP dat...

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