On December 10, the second meeting of the Symposium on Building a Sustainable Development Laboratory evalsuation System was held in Beijing. Wang Xin, Chairman of China Entry-Exit Inspection and Quarantine Association, Qiao Dong, Deputy Director of the Department of Accreditation and Inspection, Supervision and Administration of the State Administration for Market Regulation, Che Wenyi, Chairman of the International Sustainable Development Laboratory Branch, and Duan Xiaohong, Deputy Secretary-General of China Entry-Exit Inspection and Quarantine Association , International Sustainable Development Laboratory Branch Vice President Chi Haipeng, General Manager of Beijing Dana Experimental Technology Co., Ltd., Xu Haiyan, Deputy Director of the Park Planning and Management Department of the Institute of Zoology, Chinese Academy of Sciences, Chen Dongdong, Director of the Testing and evalsuation Center of the Chinese Academy of Inspection and Quarantine Sciences, Qi Bangfeng, Vice President of CNOOC Refining and Chemical Research Institute, Zeng Lingzhi, Condition Guarantee Department of PetroChina Petrochemical Research Institute, Wu Bin, Director of Nanjing Customs Animal, Plant and Food Testing Center, Shen Lihua, Director of Shanghai Institute of Building Research Co., Ltd., and Sun Qian, Director of Jacobs Global Construction China , Siemens general manager Gao Chunlin, Liu Kunyu, Zhi Jinsong and other 17 people attended the meeting.
The meeting discussed how to establish a rating system for sustainable development laboratories. Participating units first conducted in-depth discussions on the status quo of domestic laboratories and the problems faced by laboratories in various fields, and exchanged experiences in the field of energy conservation. At the meeting, all participating units reached an agreement to fully support the establishment of the system, and rely on domestic policies and government support to effectively evalsuate and manage laboratory data under the premise of ensuring the authenticity of laboratory data.
On December 10, the second meeting of the Symposium on Building a Sustainable Development Laboratory evalsuation System was held in Beijing. Wang Xin, Chairman of China Entry-Exit Inspection and Quarantine Association, Qiao Dong, Deputy Director of the Department of Accreditation and Inspection, Supervision and Administration of the State Administration for Market Regulation, Che Wenyi, Chairman of the International Sustainable Development Laboratory Branch, and Duan Xiaohong, Deputy Secretary-General of China Entry-Exit Inspection and Quarantine Association , International Sustainable Development Laboratory Branch Vice President Chi Haipeng, General Manager of Beijing Dana Experimental Technology Co., Ltd., Xu Haiyan, Deputy Director of the Park Planning and Management Department of the Institute of Zoology, Chinese Academy of Sciences, Chen Dongdong, Director of the Testing and evalsuation Center of the Chinese Academy of Inspection and Quarantine Sciences, Qi Bangfeng, Vice President of CNOOC Refining and Chemical Research Institute, Zeng Lingzhi, Condition Guarantee Department of PetroChina Petrochemical Research Institute, Wu Bin, Director of Nanjing Customs Animal, Plant and Food Testing Center, Shen Lihua, Director of Shanghai Institute of Building Research Co., Ltd., and Sun Qian, Director of Jacobs Global Construction China , Siemens general manager Gao Chunlin, Liu Kunyu, Zhi Jinsong and other 17 people attended the meeting.
The meeting discussed how to establish a rating system for sustainable development laboratories. Participating units first conducted in-depth discussions on the status quo of domestic laboratories and the problems faced by laboratories in various fields, and exchanged experiences in the field of energy conservation. At the meeting, all participating units reached an agreement to fully support the establishment of the system, and rely on domestic policies and government support to effectively evalsuate and manage laboratory data under the premise of ensuring the authenticity of laboratory data.
