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專(zhuān)業(yè)服務(wù)至臻價(jià)值讓新能源運(yùn)營(yíng)更安心更省心北京協(xié)合運(yùn)維風(fēng)電技術(shù)有限公司（簡(jiǎn)稱(chēng)“協(xié)合運(yùn)維”），是新能源行業(yè)綜合型技術(shù)服務(wù)龍頭企業(yè)。公司成立于2007年，已擁有超過(guò)16年的新能源電站運(yùn)行維護(hù)、資產(chǎn)托管及技術(shù)服務(wù)經(jīng)驗(yàn)。面向新能源發(fā)電設(shè)備、輸變電設(shè)備、綜合能源系統(tǒng)，提供基于數(shù)據(jù)驅(qū)動(dòng)的設(shè)備預(yù)警、智能診斷、維修決策、現(xiàn)場(chǎng)運(yùn)維、技改優(yōu)化、備件供應(yīng)等一站式服務(wù)解決方案。公司目前服務(wù)管理300多個(gè)新能源交付單元，在運(yùn)維容量突破2500萬(wàn)千瓦，覆蓋全國(guó)30個(gè)省（市、自治區(qū)），擁有3000余人的專(zhuān)業(yè)服務(wù)團(tuán)隊(duì)。客戶(hù)涵蓋大型電力集團(tuán)、地方國(guó)企、民營(yíng)投資商、整機(jī)制造商，以及蘋(píng)果基金等國(guó)內(nèi)外知名企業(yè)。經(jīng)過(guò)多年踐行探索，公司形成北京總部管控支持、區(qū)域服務(wù)共享、電站標(biāo)準(zhǔn)化執(zhí)行的三級(jí)管理模式，憑借強(qiáng)大的數(shù)據(jù)分析能力、完善的平臺(tái)支持、專(zhuān)業(yè)的技術(shù)人員，提供安全、專(zhuān)業(yè)、可靠的新能源運(yùn)營(yíng)服務(wù)。Beijing Concord Operation and Maintenance Wind Power Technology Co., Ltd.(Concord O&M for short) is a leading comprehensive technology and service company in renewable energy industry. Founded in 2007, it has over 16-years’ experience in operation and maintenance, asset custody and technical services for renewable power plants. It provides data-driven one-stop solutions as equipment early warning, intelligent diagnosis, maintenance decisions, on-site O&M, retrofit and optimization, and spare parts supply and etc. to power generation equipment, power transmission and transformation equipment, and integrated energy systemsConcord O&M currently serves over 300 new energy projects, equal to a total capacity of around 25 GW, and has more than 3,000 professional technicians. Its customers include utilities groups，local state-owned enterprises, private investors, OEMs, and other well-known domestic and foreign enterprises as Apple Fund. With years of practice and exploration, it adopts the three-level management model: headquarters management and support, regional shared service, and power station standardization service. It is committed to providing safe, professional, and reliable renewable energy operation solutions relaying on its powerful data analysis ability, well-established platform support, and professional technical personnel.