Central air conditioner intelligent control system based on wireless sensor network and method

Abstract

The invention discloses a central air conditioner intelligent control system based on a wireless sensor network and a method, and belongs to the technical field of central air conditioner control. The central air conditioner intelligent control system comprises an intelligent information management center, wireless communication devices, a central air conditioner information monitoring and control module, a room information monitoring and control module and the like. The invention adopts the method that the central air conditioner intelligent control system is used to monitor information, build a data base, calculate current load of the system, and realize advance, accurate and optimized control of a central air conditioner system by combining a short-term loading forecasting method based on similar dates and fuzzy control technology, as well as taking the temperature variation of supply / return chilled / cooling water of a central air conditioner as the manipulated variable. The central air conditioner intelligent control system has the characteristics of great communication capacity, guaranteed communication quality, powerful network functions, wide monitoring range and extensive control quantity of the central air conditioner system, optimized control, high control accuracy, good energy saving effect and the like, and can be widely used in energy-saving optimizing control of various buildings, and is particularly suitable for energy-saving optimizing control of central air conditioners of intelligent buildings.

Description

1. Technical field [0001] The invention belongs to the technical field of central air-conditioning control, and in particular relates to an intelligent control system and method for a central air-conditioning based on a wireless sensor network. 2. Background technology [0002] In recent years, with the rapid development of social economy, the proportion of central air-conditioning energy consumption has increased rapidly. As a part of the power load, the proportion of central air-conditioning energy consumption has reached more than 60% of building energy consumption, accounting for 35% of the power load, so the establishment It is of great significance to provide a central air-conditioning energy-saving optimization control system and method to realize energy saving and achieve efficient utilization of air-conditioning energy consumption. At the same time, because the central air-conditioning system is a complex system, in order to achieve the best operation and energy sav...

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Problems solved by technology

The main disadvantages of this control system and method are: ① poor communication quality, central air-conditioning systems are mostly installed in large buildings, and concrete walls have a great shielding effect on wireless signals, and the wireless sensor network of ZigBee is based on the communication frequency band of 2.4GHZ , the ability to bypass obstacles in this frequency band is poor. To ensure the communication quality of the network, it is necessary to increase the power consumption of the wireless communication module and increase the number of relay modules, which will increase the network overhead and the complexity of networking technology; ②The network utilization rate is low. The application of the wireless sensor network is limited to the collection of indoor temperature and infrared data, and the control information is fed back after summarizing the information through the PC. The wireless network is not used to realize the independent control of the central air-conditioning unit and the terminal; ③Data management Poor, the PC is used as the control center, and the unified management of the data database has not been realized. It is only simple data collection and judgment, which is not conducive to the long-term management and precise control of the system; The problem of system control lag is problematic, because the temperature change of the frozen (refrigerated) water can only be reflected after a cycle, which usually takes tens of minutes, so the return water temperature collected at the same time reflects a cycle period In the previous load situation, it is obviously problematic to use the temperature information of the outlet and return water detected at the same time as the controlled parameter adjustment.

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