| Textile products have strict requirements on the temperature and humidity environment of the workshop during the production process,so the operation control of the air conditioning system in the textile factory is very important.At present,the air conditioning system of textile mills has basically got rid of manual adjustment and realized the automatic control of air conditioning.However,the existing automatic control system of textile air conditioning still has some shortcomings.This thesis starts with the hourly load calculation in different seasons of the workshop throughout the year,and develops a more accurate control method for air-conditioning equipment fans,water pumps and fresh air windows.According to the annual outdoor weather envelope,the annual operation of the air-conditioning automatic control system is divided.Seasonal control strategy research to ensure the stability of workshop temperature and humidity,while minimizing the energy consumption of the air conditioning system.This subject takes the air conditioning system of a spinning workshop in a textile factory in Xuzhou as an example,and mainly conducts three aspects of research.The first is the control of air-conditioning equipment fans,water pumps and fresh air windows.According to the meteorological parameters of the Xuzhou area in the past three years,the workshop is divided into summer,transitional season and winter for detailed hourly load calculations.The hourly load is obtained by hourly load.On the basis of air volume and humidification volume,calculation and frequency conversion adjustment of fan and water pump operating frequency are carried out.According to the enthalpy difference between the inside and outside of the workshop,the new air window uses an accurate proportional adjustment algorithm to realize the control and adjustment of the air-conditioning equipment.The second is the research and development of the annual air-conditioning system’s seasonal control strategy.The annual meteorological parameter envelope is divided by season,and the air-conditioning control area is divided into three modes: summer,transition season and winter,and the automatic switching of each seasonal mode is studied.The boundary,combined with the PLC automatic control system,realizes the automatic operation control of the air-conditioning system throughout the year.The third is to organize and analyze the feedback data through the operation of the system to obtain the effect of the system in terms of energy saving,and to analyze the power saving of each mode separately,so as to indicate the future research direction.Through the calculation of hourly load throughout the year,this subject reasonably controls the annual operation of air-conditioning equipment fans,pumps and fresh air windows,and combines the operation strategies of the air-conditioning automatic control system in different seasons to complete the installation,debugging and operation of the workshop air-conditioning automatic control system.According to the analysis and analysis of workshop temperature,humidity and power consumption feedback from the system,from the perspective of temperature and humidity control,the fluctuation of workshop temperature in different modes throughout the year is within ±0.5℃,the fluctuation of relative humidity is within ± 3%,and the environment of workshop temperature and humidity The overall system is relatively stable;from the analysis of the power consumption of the system,compared with the power consumption of this workshop before the renovation,the overall system energy saving rate throughout the year is 9.32%,and the average monthly power saving is 3773.3 k Wh.The power saving effect is obvious,and the transition season saves energy.The electricity effect is more significant,indicating that the utilization rate of outdoor fresh air in the transition season is higher.It can be seen from the power saving data of the workshop that the power saving effect of this air conditioning automatic control system is relatively good.With further research in different seasons,the optimization effect of the system will be further improved. |
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