Wastewater　treatment　process　(WWTPs)　is　an　enormous　and　complex　system,　it　involves　multi-disciplines　and　multi-fields,　which　is　a　greatly　challenge　for　industrial　Information　Integration　Engineering　(IIIE).　In　this　paper,　an　integrated　control　framework　for　WWTPs　is　proposed　using　intelligent　optimization　to　solve　the　problem　of　excessive　pollutant　and　high　energy　consumption.　It　realizes　the　effective　integration　of　data　model,　intelligent　decision　making,　dynamic　optimization　and　control.　Firstly,　a　self-organization　soft　sensing　method　is　adopted.　It　can　predict　the　concentrations　of　ammonia　nitrogen　and　total　nitrogen　in　advance.　And　the　early　warning　is　provided　for　decision　making.　Secondly,　for　the　complex　dynamic　characteristics　of　multi-performance　indexes　intercoupling　in　WWTPs,　the　dynamic　multi-objective　immune　optimization　algorithm　is　designed.　And　an　optimized　set　point　with　high　quality　in　real　time　is　to　be　obtained.　In　addition,　according　to　different　over　standard　states,　the　intelligent　decision　scheme　of　WWTPs　is　designed.　It　can　achieve　the　effective　cooperation　of　over　standard　suppression　and　energy　saving.　Finally,　BSM1　simulation　model　is　used　to　verify　the　method.　The　experimental　results　show　that　the　integrated　framework　can　achieve　the　whole　process　of　WWTPs　real-time　standards　and　can　effectively　reduce　energy　consumption,　so　it　has　competitive　practical　application　prospect　for　IIIE.