環保專案成果報告查詢系統

專案計畫編號
經費年度	112
計畫經費	14,620 千元
預算科目	化學物質查核及資訊-化學物質資訊整合規劃建置
專案開始日期	2023/03/06
專案結束日期	2023/11/30
專案主持人	李曜全
主辦單位	化學署評估管理組
承辦人	林桂如
執行單位	景丰科技股份有限公司
專案分類	環境資訊系統
中文關鍵字	化學物質、跨部會合作、警示和快報
英文關鍵字	Chemical Substance, Inter-Ministerial Cooperation, Alert and Quick Report
協同主持人	高宏宇；蔡志賢；詹凱智
共同主持人
計畫聯絡人	董育蕙
計畫聯絡電話	02-23778011#273
計畫聯絡信箱	yhTong@simenvi.com.tw

中文摘要	本年度強化、擴增及維護化學雲平台資料及功能部分，新增以跨機關資料傳輸專屬通道(T-Road)傳輸電子發票資料，擴增介接2個系統資料及分別提供消防署及產業發展署2項介接服務。另配合環境部與其他機關組織改造，調整平台資訊呈現，及配合環境部環境資源資料交換平台(Central Data eXchange, CDX)更版，全面調整介接程式與設定。最後，維護10部會53個化學物質管理資訊系統定期拋轉，開立312個帳號、辦理3場教育訓練與10場機關協商會議，及持續平台資安與運作維護。強化系統資安防護及未來整體架構發展部分，完成內政部自然人憑證登入系統以及化學雲帳號線上申請機制。另完成以預製表格優化查詢速度，擴增權限分享表格設計，新增角色辨識權限機制優化權限控管，及完成3項廠商查詢功能相關元件優化。此外，協助完成化學領域化學物質主題資料標準公告、彙整4個國家化學物質相關管理系統現況及訂定化學雲使用者介面規範1份。導入科技技術、強化化學雲應用價值，應用區塊鏈完成數位許可證管理與分享功能開發，提供廠商分享證書連結，讓第三方單位可查看毒性化學物質許可證資料，並邀請3廠商進行試用與意見回饋。在高風險異常廠商偵測演算部分，經各項優化測試後，顯示最佳模型組合為變分圖自編碼器學習(VGAE)與自監督對比異常偵測(SCAD)之端到端預訓練，並將異常分數作為排序依據。此外，新增財稅資料對於模型識別真正的異常樣本方面獲得顯著提升。而新聞爬蟲部分，使用ChatGPT建立訓練資料，進而完成一小型模式，運用於精進食安新聞分類、食安緊急程度分類辨識與食安新聞關鍵詞辨識，優化食安新聞加值推播工作。在廣泛蒐集化學物質管制資訊，掌握管理趨勢部分，完成斯德哥爾摩公約、聯合國食品標準委員會(Codex)公告的食品添加劑清單與我國環境荷爾蒙建議關注清單3份資料整理。並更新67筆國內外化學物質管理法規增修資訊及完成112年國內食品相關稽查抽驗結果581筆蒐集。
中文關鍵字	化學物質、跨部會合作、警示和快報

中文摘要

本年度強化、擴增及維護化學雲平台資料及功能部分，新增以跨機關資料傳輸專屬通道(T-Road)傳輸電子發票資料，擴增介接2個系統資料及分別提供消防署及產業發展署2項介接服務。另配合環境部與其他機關組織改造，調整平台資訊呈現，及配合環境部環境資源資料交換平台(Central Data eXchange, CDX)更版，全面調整介接程式與設定。最後，維護10部會53個化學物質管理資訊系統定期拋轉，開立312個帳號、辦理3場教育訓練與10場機關協商會議，及持續平台資安與運作維護。強化系統資安防護及未來整體架構發展部分，完成內政部自然人憑證登入系統以及化學雲帳號線上申請機制。另完成以預製表格優化查詢速度，擴增權限分享表格設計，新增角色辨識權限機制優化權限控管，及完成3項廠商查詢功能相關元件優化。此外，協助完成化學領域化學物質主題資料標準公告、彙整4個國家化學物質相關管理系統現況及訂定化學雲使用者介面規範1份。導入科技技術、強化化學雲應用價值，應用區塊鏈完成數位許可證管理與分享功能開發，提供廠商分享證書連結，讓第三方單位可查看毒性化學物質許可證資料，並邀請3廠商進行試用與意見回饋。在高風險異常廠商偵測演算部分，經各項優化測試後，顯示最佳模型組合為變分圖自編碼器學習(VGAE)與自監督對比異常偵測(SCAD)之端到端預訓練，並將異常分數作為排序依據。此外，新增財稅資料對於模型識別真正的異常樣本方面獲得顯著提升。而新聞爬蟲部分，使用ChatGPT建立訓練資料，進而完成一小型模式，運用於精進食安新聞分類、食安緊急程度分類辨識與食安新聞關鍵詞辨識，優化食安新聞加值推播工作。在廣泛蒐集化學物質管制資訊，掌握管理趨勢部分，完成斯德哥爾摩公約、聯合國食品標準委員會(Codex)公告的食品添加劑清單與我國環境荷爾蒙建議關注清單3份資料整理。並更新67筆國內外化學物質管理法規增修資訊及完成112年國內食品相關稽查抽驗結果581筆蒐集。

中文關鍵字

化學物質、跨部會合作、警示和快報

類型	檔名	檔案大小	說明	最新版公開日期
期末報告	112化學雲成果報告_本文.pdf	21MB		2024/2/23 上午 12:00:00

摘要	In terms of the improvement of efficiency and data maintenance of the ChemiCloud platform, we added government data transfer platform (T-Road) to transmit electronic invoice data, expanded two data systems and provided 2 APIs to National Fire Agency and Industrial Development Administration respectively. Additionally, in conjunction with the reorganization of the Ministry of Environment and other agencies, the platform information presentation had been adjusted. Finally, we continued to maintain fifty-three chemical substance management information systems. A total of three hundred and twelve ChemiCloud accounts were created. We also continued to carry out platform information security, operation and maintenance. Last but not least, we completed three employee trainings, ten meetings with authorities concerned and one cross-functional meeting. In terms of platform security protection and future overall architecture improvement, we completed complete the Ministry of Interior’s Citizen Digital Certificate login system and the online application mechanism for chemical cloud accounts. In addition, the pre-made form was used to optimize the query speed, the permission sharing form design was expanded, and the role recognition permission mechanism was added to optimize the control principle of permissions. Finally, Three component optimizations and the integration specifications of ChemiCloud system interfaces were completed. In terms of big data analysis, the blockchain part had completed the development of digital license management that included sharing functions, providing manufacturers with certificate sharing links, allowing third parties to view toxic chemical substance license information. We also invited three manufacturers to conduct trials and provide feedback. In the part of the high-risk abnormal manufacturer detection model, the best model combination is Variational Graph AutoEncoder (VGAE) and self-supervised contrastive anomaly detection (SCAD), adding to use the anomaly scores for sorting. Furthermore, adding the financial and tax information had significantly improved the model's ability to identify real abnormal samples. In the news crawler part, with the help of ChatGPT tags, a small data set was created, and a food safety emergency module and a keyword extraction module were developed. Therefore, we optimized the value-added promotion of food safety news through refined food safety emergency classification identification and food safety news keyword identification. In the part of extensive collection of chemical substance control information and understanding of management trends, we completed the compilation of three data sets from the Stockholm Convention, the food additive list announced by the United Nations Food Standards Commission (Codex), and Taiwan Environmental Hormones Management Plan Table. We reviewed and updated relevant domestic and foreign regulations list of chemical substances of concern regularly, and the collection of 2023 domestic food-related inspection and sampling results was completed.
英文關鍵字	Chemical Substance, Inter-Ministerial Cooperation, Alert and Quick Report

摘要

In terms of the improvement of efficiency and data maintenance of the ChemiCloud platform, we added government data transfer platform (T-Road) to transmit electronic invoice data, expanded two data systems and provided 2 APIs to National Fire Agency and Industrial Development Administration respectively. Additionally, in conjunction with the reorganization of the Ministry of Environment and other agencies, the platform information presentation had been adjusted. Finally, we continued to maintain fifty-three chemical substance management information systems. A total of three hundred and twelve ChemiCloud accounts were created. We also continued to carry out platform information security, operation and maintenance. Last but not least, we completed three employee trainings, ten meetings with authorities concerned and one cross-functional meeting. In terms of platform security protection and future overall architecture improvement, we completed complete the Ministry of Interior’s Citizen Digital Certificate login system and the online application mechanism for chemical cloud accounts. In addition, the pre-made form was used to optimize the query speed, the permission sharing form design was expanded, and the role recognition permission mechanism was added to optimize the control principle of permissions. Finally, Three component optimizations and the integration specifications of ChemiCloud system interfaces were completed. In terms of big data analysis, the blockchain part had completed the development of digital license management that included sharing functions, providing manufacturers with certificate sharing links, allowing third parties to view toxic chemical substance license information. We also invited three manufacturers to conduct trials and provide feedback. In the part of the high-risk abnormal manufacturer detection model, the best model combination is Variational Graph AutoEncoder (VGAE) and self-supervised contrastive anomaly detection (SCAD), adding to use the anomaly scores for sorting. Furthermore, adding the financial and tax information had significantly improved the model's ability to identify real abnormal samples. In the news crawler part, with the help of ChatGPT tags, a small data set was created, and a food safety emergency module and a keyword extraction module were developed. Therefore, we optimized the value-added promotion of food safety news through refined food safety emergency classification identification and food safety news keyword identification. In the part of extensive collection of chemical substance control information and understanding of management trends, we completed the compilation of three data sets from the Stockholm Convention, the food additive list announced by the United Nations Food Standards Commission (Codex), and Taiwan Environmental Hormones Management Plan Table. We reviewed and updated relevant domestic and foreign regulations list of chemical substances of concern regularly, and the collection of 2023 domestic food-related inspection and sampling results was completed.

英文關鍵字

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