CNAS网站提交申请界面检测能力附表自动归类设置的研究与应用

Research and application of automatic classification and setting of application interface examination ability of CNAS website

中文关键词:  大类别编号  自动归类  应用  CNAS

英文关键词:large category number  automatic classification  application  CNAS

中文摘要:

      随着网络时代的发展, 国家倡导环境节能, 提倡无纸化运作的进行, CNAS推行网络申请和线上评审。为了更好地适应网络系统的填报, 本文对CNAS网站提交申请界面检测能力附表自动归类的设置进行了研究, 通过对检测能力附表设置大类别编号, 从而实现附表中检测能力的自动归类, 并对其应用进行了总结。设置大类别编号能够实现自动归类的效果, 从而使检测能力在CNAS网站申请界面能够按照检测领域、产品类别、检测子领域进行自动归类, 容易查找, 防止部门之间交叉, 线上评审便捷, 进而提高工作效率。

英文摘要:

      With the development of the internet, the state advocates environmental energy conservation, and the operation of paperless operation. CNAS promotes online applications and online reviews. In order to better adapt to the network system to complete, this paper investigated the settings of the automatic classification of the application interface detection capability of CNAS website. By setting up the large class number of the inspection ability table, the automatic classification of inspection ability in the schedule was realized, and its application was summarized. Setting large class numbers can achieve automatic classification effect, so that the ability to detect in the CNAS site application interface in accordance with the detection field, product category, detection sub-domain for automatic classification. It is easy to find, and prevent cross-on the assessment of convenience, which can enhance our operation effectiveness.