In terms of data augmentation and maintenance this year, we’ve maintained 49 systems under continuous running, registered 246 ChemiCloud accounts, and expanded access to 3 data sources. We’ve developed auto data form checking and sent 722 notification mail. Furthermore, we’ve given feedback of 294 mistakes of vendors’ location coordinates to two systems. In terms of the development and interface of department requirements, we’ve developed web service functions for Taipei city fire department and New Taipei city fire department to use factory hazardous materials declaration network information. Moreover, we discussed with several fire departments to identify the form of quick report of chemical substance for disaster rescue and developed three kinds of API for National Fire Agency, Ministry of the Interior to get the quick report from ChemiCloud. In terms of big data analysis, we’ve used Bayesian network model, classification and regression tree and random forest to construct a single chemical substance operation manufacturer risk model, compared the performance of the three models, and also uses ensemble learning technology to refine the risk analysis model. The ensemble learning model can produce a better classification accuracy rate than the single model. In addition, use artificial intelligence technology to automate the classification and sorting of news about chemical substance news events at home and abroad. We have also completed public opinion analysis of news events and provided competent units to understand the popularity of news discussions. Furthermore, the establishment of a method for six types of food manufacturers to analyze the flow and risk of chemical substances by category is convenient for focusing on the risks caused by specific food additives of various manufacturers or toxic chemical substances of historical events, and establishing risk models for various food manufacturers based on them. In terms of other analytical work, the feasibility assessment report of the application of block-chain to chemical substance management was completed. After referring to the preliminary assessment method recommended by the World Economic Forum, the preliminary assessment results obtained are positive and feasible. It is recommended that further small-scale trials to be implemented and verified with actual test. In addition, we completed the development of the identification and cutting program for PDF files of disaster prevention maps, and put forward suggestions on the standard format of disaster prevention maps based on them.

Chemical Substance, Inter-Ministerial Cooperation, Alert and Quick Report