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Central air charge optimization method and system based on Internet of Things

A technology of central air conditioning and optimization method, applied in heating and ventilation control systems, heating and ventilation safety systems, mechanical equipment, etc., can solve the problems of increasing grid pressure and high electricity prices, saving operating costs, reducing energy consumption, and thermal insulation performance. good effect

Active Publication Date: 2018-08-17
SHANDONG JIANZHU UNIV +1
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Problems solved by technology

Generally speaking, the working hours of air conditioners are generally during the peak period of electricity consumption, which increases the pressure on the power grid, and the electricity price is higher

Method used

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  • Central air charge optimization method and system based on Internet of Things
  • Central air charge optimization method and system based on Internet of Things
  • Central air charge optimization method and system based on Internet of Things

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Embodiment Construction

[0039]The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0040] It should be pointed out that the following detailed description is exemplary and intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0041] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combination...

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Abstract

The invention discloses a central air charge optimization method and system based on Internet of Things. According to the method, room energy consumption historical data, indoor and external environment temperature data, room arrangement, peak valley electricity price mechanism data and the like in a database server are acquired, a central air conditioner energy-saving optimization control centerserver uses a BP neural network method to predict the energy consumption of the second day of each room, the opening and closing of a central air conditioner are determined forward in a time window mode at the end moment of the lowest electricity price, a command is issued to the Internet of Things node, the tail end of an intelligent air conditioner is remotely controlled, the refrigerating capacity or heat which is prepared by the central air conditioner is distributed in each room in advance, the Internet of Things node collects indoor and outdoor temperature information of the environmentmodule of the room in real time and stores the data into the database server, and a regional peak valley electricity price mechanism and the good heat preservation performance of a building are utilized, and the needed energy is input into a room in advance when the electricity price is low, so that the operation cost is further reduced, the electricity consumption peak is staggered, and the electricity pressure is relieved.

Description

technical field [0001] The invention relates to the field of central air-conditioning operation management, in particular to a method and system for optimizing central air-conditioning charges based on the Internet of Things. Background technique [0002] At present, the peak-level and valley electricity price has been used by more and more cities. The peak-level and valley electricity price is divided into different electricity price periods according to the amount of electricity consumed by urban users. The purpose is to stimulate users' awareness of saving electricity and relieve the pressure of excessive electricity load. The implementation of peak and valley electricity prices is conducive to promoting electricity users to stagger the time of electricity consumption, make full use of equipment and energy, and adapt to new changes in the power supply and demand situation. Adjusting the peak and valley load of the power grid, improving the system load curve, shaving peaks...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): F24F11/47F24F11/61F24F110/12F24F120/20
CPCF24F11/47F24F11/61F24F2110/12F24F2120/20
Inventor 田晨璐闫俏李咏李清锋李成栋潘磊磊刘晓倩
Owner SHANDONG JIANZHU UNIV
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