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.　©　2018　IEEE.