Details

Autor(en) / Beteiligte

• Chen, Shuangye
• Liu, Xinqi
• Fu, Hanguang

Titel

Design of Energy-saving Optimized Remote Control System of Chiller Based on Improved Particle Swarm Optimization

Ist Teil von

• 2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS), 2018, p.299-304

Ort / Verlag

IEEE

Erscheinungsjahr

2018

Quelle

IEEE Electronic Library (IEL)

Beschreibungen/Notizen

• The traditional chiller system in pharmaceutical plants is facing many problems. Such as low water energy and power utilization, serious energy consumption problems. Manual detection of water chiller parameters has low efficiency and low accuracy. Water chiller failures occur frequently. relying solely on manual detection to find the fault is not timely, can not be real-time remote monitoring and control of water chiller. In order to solve these problems, this paper proposes the design of a chiller energy-saving optimization remote control system based on an improved particle swarm optimization(PSO) algorithm. First of all, this paper builds a hardware detection and remote monitoring control system to detect various parameters of the chiller system. Through the TCP protocol and the MODBUS protocol for data interaction, the collected data can be transmitted to the upper computer in real time. Not only can the webcam monitor real-time monitoring of chiller changes, but it can also detect chiller failures timely. The use of remote monitoring and early warning devices enables the system to have the ability to monitor and control chiller systems in real time. Secondly, a mathematical model is established based on the parameters of the chiller being detected, and the improved PSO algorithm is optimized. Finally, data analysis is performed to achieve optimal energy-saving control. Through the analysis of pharmaceutical factory data, we can draw a conclusion that the system we design not only has good use value, but also has a very broad development prospects.