Office space temperature prediction system based on distributed optical fibers

A technology of distributed optical fiber and optical fiber temperature, applied in design optimization/simulation, calculation, computer-aided design, etc., to achieve the effect of improving prediction accuracy, improving acquisition accuracy, and simplifying acquisition difficulty
CN113221452AActive Publication Date: 2021-08-06TIANJIN UNIV
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Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Applications(China)
Current Assignee / Owner
TIANJIN UNIV
Publication Date
2021-08-06

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Abstract

The invention discloses an office space temperature prediction system based on distributed optical fibers. The office space temperature prediction system comprises an optical fiber temperature correction module, a human factor internal disturbance correction module and a temperature prediction module. The optical fiber temperature correction module is used for determining the indoor real-time air temperature as the input of the temperature prediction module; the human factor internal disturbance correction module is used for determining the position of indoor internal disturbance and determining the influence of the indoor internal disturbance on the air temperature at the ceiling height and the required temperature field at the indoor height within the unit regulation and control time, and the influence is used as the input of the temperature prediction module; and the temperature prediction module is used for finally determining the temperature distribution at the required height.
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Description

technical field

[0001] The invention relates to the field of indoor temperature prediction methods, in particular to an office space temperature prediction system based on distributed optical fibers. Background technique

[0002] As one of the most common types of buildings, office buildings are of great significance to create an energy-saving and comfortable office environment. As an emerging indoor environment control method, personalized air conditioning adjustment can effectively take into account the goals of energy saving and comfort, but the implementation of this method depends on the high-precision indoor temperature field distribution. At present, the commonly used indoor temperature acquisition methods mainly use point temperature sensors. To obtain a fine indoor temperature field distribution, a large number of temperature sensors are required, and the cost is too high. In addition, the existing temperature prediction methods are mainly based on historical time-...

Claims

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