Air conditioner intelligent optimization control method based on large data and terminal equipment

Abstract

The invention discloses an air conditioner intelligent optimization control method based on large data and terminal equipment. The method comprises the following steps of determining an operation target of a first project using an air conditioning system; acquiring second project information related to the first project; making an operation scheme of the first project based on the second project information, and executing the operation scheme to obtain an operation result; analyzing the operation result to obtain an operation effect test evaluation index and an operation effect test verification index of the first project; judging whether the first operation target is reached or not based on the operation effect test evaluation index and the verification index; if yes, bringing the operation scheme of the first project into an evidence database; and if not, re-determining the first operation target of using the air conditioning system. Through the mode, the operation of the air conditioning system is rational and evidence-based so as to ensure the long-term operation of the air conditioning system used in building.

Description

technical field [0001] This application relates to the field of air-conditioning system operation, and in particular to a big data-based intelligent optimization control method and terminal equipment for air-conditioning. Background technique [0002] At present, there is still a certain gap between the domestic public building air conditioning system control and operation management level and the growing demand for operation management. Most building owners and design units attach great importance to whether the air-conditioning system meets the energy-saving design standards during the building design stage, but the actual operation and management effect of the air-conditioning system after the building is completed is often far from the design expectation. [0003] Taking the statistical results of green building evaluation labels with more advanced air-conditioning system operation and maintenance in my country as an example, the projects that obtained green building ope...

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Problems solved by technology

[0003] Taking the statistical results of green building evaluation labels with more advanced air-conditioning system operation and maintenance in my country as an example, the projects that obtained green building operation labels in 2018 accounted for less than 15% of all green building labels, and most buildings that obtained green labels in the design stage could not meet the requirements. Requirements for Green Operation Label

As for the BA system of public building equipment in my country, Beijing University of Technology and Tsinghua University led two independent surveys in 1997 and 2013 respectively. The time span reached 16 years, but the conclusions were very similar, with less than 20% The equipment system of the building is running well, and 50% of the building BA does not play a role, or only plays a small role

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