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Spectral analysis for detecting migration heavy metals in toys is widely used in domestic and international standards. In this paper, intelligent analysis system for detection heavy metals was developed utilizing Internet of Things based on current spectral analysis instruments. And the virtual application of instrumentations such as bar code scanner, balance, digital temperature/humidity recorder, spectrum analyzer and central server could be realized by using Service Oriented Architecture (SOA). The test results from different equipments and different types of data such as sample information and environmental parameters were collected automatically. And they were transported to the central server in real time. The data processing model which met the requirements of spectral analysis was embedded in the system. In that way, the system has the features of real-time data storage, automatic report generating and so on. As a result, the data recording and processing time could be decreased dramatically. Meanwhile, the risk of manual operation could be effectively reduced with improved efficiency and data processing accuracy.

The fan industry has developed rapidly because of the large demand in the fields of thermal power, metallurgy and so on. There are many manufacturers in Zhejiang Province. However, energy efficiency projects are not carried out sufficiently in those factories. Compared with foreign standards on fan energy efficiency such as ANSI/AMCA 205 and ISO 12759, national standard GB 19761 still has some disparity in the scope of application, the energy efficiency classification and definition of energy efficiency. Using the experience of foreign standards and vigorously promoting the energy efficiency projects in the fan manufacturing enterprises could accelerate the development of domestic standard system on fan energy efficiency and entire fan industry.

In the field of chemical testing, it is of great importance to improve the accuracy and efficiency and reduce the risk caused by artificial factor with modern intelligent methods, which are critical to the standard development of testing labs. In this paper, intelligent control during the whole process of chromatography and mass spectrometry analysis with cloud computing technology was realized and discussed in detail. The intelligent testing system could be applied to the chemical analysis labs and spread to other fields.