Investigation And Application Of Air Conditioning Ventilation System Control Method For Insect Intelligent Building

While providing efficient and convenient services for building owners,smart buildings can ensure the safe and stable operation of buildings.With the progress of Internet of things and big data technology,the demand for building automation system and operation management has changed from monitoring and control of a few key equipment to comprehensive management of various information inside buildings.However,most existing intelligent building system generally adopts the hierarchical classification system architecture,by the central monitoring host to carry out centralized monitoring and management,mostly does not have built-in physical model of building space and electromechanical equipment in the overall architecture,lack of standardized description,cannot meet the requirements of flexibility,extensibility and reconfiguration of multi-subsystem integration of modern building automation system.The existing network architecture of centralized air conditioning system is generally hierarchical system architecture based on bus.This kind of traditional centralized air conditioning control system lacks a unified standardized description method to realize the interconnection between equipment and subsystems,which makes the efficient development of intelligent electromechanical equipment and the effective management of intelligent buildings difficult.Research has shown that insect intelligent building?I²B?can effectively solve the above problems.In this paper,insect intelligent control for the wind system of central air conditioning ventilation system is conducted as follows:The equipment information of air conditioning ventilation system under the architecture of insect intelligent system needs a standardized description method so that the computer system can identify and process the equipment.To this end,the standardized description method of information model of air conditioning ventilation system is studied firstly in this paper.The air conditioning ventilation system is divided into basic units.By analyzing the control logic and operation information of the basic units,standard information models are established.The problem of"interconnection"and"plug and play"of building space and electromechanical equipment that are hindered by the lack of standardized description is solved.Then,the key technologies of realizing intelligentization of air conditioning ventilation system equipment under insect intelligent architecture are studied,researching on key technologies for communication and interconnection between equipment.The intelligent equipment of air conditioning ventilation system is developed,among them,the intelligent fresh air unit is the main one.It mainly focuses on the design of drive control unit?DCU?software and hardware,and the communication among DCU,computing process node?CPN?and sensor is realized.The linear reset algorithm of static pressure setpoint is proposed for on-line control under insect intelligent architecture.The algorithm is written into an application?APP?and downloaded into CPN of fresh air unit.Finally,the demonstration project of the insect intelligent control system of fresh air unit is implemented.It provides a platform for studying the insect intelligent control method of air conditioning ventilation system.APPS of different algorithms are downloaded to the corresponding CPNS.The control effect of the insect intelligent control system of fresh air unit is verified by comparative experiment.Test results show that,under the architecture of insect intelligence system,both the constant step reset algorithm and the linear reset algorithm of static pressure setpoint can maintain the indoor CO₂ concentration at its setpoint,the control effect of the linear reset algorithm of static pressure setpoint is more stable.In addition,compared with the constant step reset algorithm,the linear reset algorithm for static pressure setpoint reduces the fan energy consumption by 20.5%.It can be seen that the linear reset algorithm for static pressure setpoint has obvious energy saving effect under the insect intelligent architecture.At the same time,the control algorithm debugging efficiency under the insect intelligence architecture is higher.