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南京市特检院

作者:中国无人系统新技术产业联盟


南京市特种设备安全监督检验研究院(以下简称南京市特检院)成立于1989年,是经南京市编委批准,国家特种设备安全监察机构核准授权,专门从事特种设备检验的法定技术机构,隶属于南京市市场监督管理局。南京市特检院院现有员工200余人,其中专业技术人员占总人数的89%以上,包括江苏省333高层次人才培养对象3人,研究员级高级工程师5人、高级工程师57人。

近年来,南京市特检院依托筹建的“国家智能测控产品质量监督检验中心(江苏)”,在高端装备及机器人领域,不断加强检测能力建设及技术研发。从2016年开始大型起重机金属结构无人机智能视觉检测系统研发,成功研制了一种用于大型起重机的倒置式无人机智能检测软硬件平台,能够对大型起重机各种关键部位进行多方位拍摄无视场死角,解决了人员难以到达部位的检测难题,提出了基于深度神经网络的起重机结构缺陷图像处理算法,实现了裂纹、锈蚀等的自动识别,获专利授权2项,申请专利3项,登记软件著作权1项,发表论文10余篇,掌握了全套核心技术。

目前,无人机智能视觉检测系统已在港口起重机、大型游乐设施、塔架等结构检测和安全评估中得到了重要应用,辅助检验人员对不易到达部位进行检查,检出了企业不易发现的 设备隐患多处,为企业日常维护保养和设备的安全管理提供了有力依据,保障了企业生产安全,其技术成果可推广至风电设备、桥梁、船体、储罐、多层框架钢结构等室外复杂环境下在役大型结构表面缺陷检测,具有广阔的应用前景。

南京市特检院愿与产学研用各界进行广泛合作,共同推动无人机、机器视觉、深度学习和智能测控技术创新和推广应用!


Nanjing Special Equipment Safety Supervision Inspection and Research Institute (hereinafter referred to as Nanjing Institute of Special Inspection) was established in 1989. It is authorized by the Nanjing Municipal Editorial Committee and the National Special Equipment Safety Supervision Institution, specialized in special equipment inspection of the legal technical organization. It belongs to Nanjing Administration for Market Regulation. NSEI currently has more than 200 employees, among which professional and technical personnel account for more than 89% of the total number. There are 3 "333" high-level personnel training objects in Jiangsu Province, 5 research-level senior engineers and 57 senior engineers.

In recent years, NSEI has continuously strengthened the construction of testing capabilities and technologies research and development in the field of high-end equipment and robots, relying on the establishment of "National Intelligent Measurement and Control Product Quality Supervision and Inspection Center (Jiangsu)". Since 2016, the research and development of the UAV intelligent  vision detection system of metal structure for large crane has been started. The software and hardware platform of inverted UAV for the large cranes intelligent detection is developed successfully.It can shoot the key parts of the large crane in various directions and ignore the dead angle of the field, which solves the problem of detecting the parts that are difficult to be reached by personnel. An image processing algorithm of crane structure defects based on deep neural network is proposed to realize automatic recognition of cracks and corrosions. It has obtained 2 patents, applied for 3 patents, registered a software copyright, published more than 10 papers, and mastered the full set of core technologies.

At present, the UAV intelligent vision inspection system has been applied in the inspection and safety assessment of the port cranes, the large amusement facilities, the towers and other structures. It has assisted the inspection personnel to detect the parts that are not easy to reach, and detected the equipment hidden dangers that the enterprise is not easy to find. It provides a strong basis for the daily maintenance and equipment safety management of enterprises and ensures the production safety of enterprises. The technical achievements can be extended to the surface defect detection of large structures in service in complex outdoor environment, such as the wind power equipments, the bridges, the ships, the storage tanks, the multi-storey frame steel structures, etc., which have a broad application prospect.

NSEI is willing to cooperate extensively with all sectors of industry-college-institute to jointly promote the innovation and application of UAV, machine vision, deep learning and intelligent measurement and control technology!




 

 

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