環保專案成果報告查詢系統

專案計畫編號
經費年度	109
計畫經費	11,500 千元
預算科目	數位建設-建構開放政府及智慧城鄉服務
專案開始日期	2020/01/01
專案結束日期	2020/12/31
專案主持人	柯上茗
主辦單位	環境督察總隊
承辦人	謝適鴻;周宜妙
執行單位	環資國際有限公司
專案分類	環境資訊系統
中文關鍵字	督察、環保業務、資料取得、智慧邏輯
英文關鍵字	Inspection, environmental protection business, information access, smart logic
協同主持人
共同主持人
計畫聯絡人	林洋玟
計畫聯絡電話	02-66308000#229
計畫聯絡信箱	aggie21336@eri.com.tw

中文摘要	本年度建置平臺九大項執行主要成果如下： (一)維護修正本計畫平臺功能 1.主系統依使用者意見優化平臺友善度，包含重新調整與各業務單位資料彙整；批次上傳照片功能；邏輯訊息WEB介面等功能；透過其他業務資料加值服務，利用視覺化軟體顯示案件異常點，以加強資訊顯示豐富度。 2.GIS系統依使用者意見強化GIS，為配合工廠管理輔導法生效後，執行臨時登記工廠之督察管理工作，導入臨登工廠查詢資料及圖層，有助於在第一時間提供督察人員了解臨登工廠狀況，強化了整體的督察效益。 3.子系統今年度針對督察APP於12月前共更新了4個版次，解決了一直以來的使用問題，並新增採樣配置圖可上傳圖片或者定位繪製功能，於10月辦理了三場次的教育訓練，在教育訓練中使用者對APP的提問狀況與過往相比已減少許多，由此可見目前的督察APP已可滿足現行督察工作需求。 (二)依計畫需求更新介接相關系統資料平臺已完成蒐集16個各業務單位資料，已全為自動介接方式取得，共386張資料表。 (三)勾稽邏輯模組增修透過資深督察人員之專業知識、思維邏輯及多年經驗，並藉由電腦的進階分析，建立各種不同型態督察案件實績範例，以傳承現場督察經驗與提升督察效率，本計畫持續充實督察相關資料，建置事業異常資料分析平臺，以現有事業許可及申報資料為基礎建立分析模組，以利督察人員快速查找事業異常狀況並自動將分析結果導入子系統(APP)內，使其至現場時可依循異常項目進行督察。 (四)環境影響潛勢增修透過經驗彙整，盤點取得所需分析資料，人員逐一比對及找出資料間關係邏輯並建立模組及制定基本項目與進階項目分數、權重制定等；並彙製污染熱區發展概念圖，使同仁快速了解污染熱區建構機制。 (五)人工智慧應用導入今年度已從書籍、碩士論文、期刊、新聞稿、電子報、網路文章及語音導入官方網站國內、外智能語語音助理資料蒐集，依據108年創建之Grace督察助理服務內容，擴充語音查詢主題，包含基礎功能操作、事業資料查詢、預排行程功能及污染法規查詢。導入該類服務架構，今年109年使用Actions on google支援的語意解析工具，透過Server上整合Dialogflow，逐步建構語音雛型。先從詢問管制編號或名稱提問事業資料，導入該類服務架構，作法逐一從語意研析、語意建模，語意訓練等方式，循環式建構開始。 (六)採購各項硬體設備今年度已採購採購平板Samsung Galaxy Tab A 10.1 (2019)，相關配件包含觸碰筆、平板保護貼(霧面)、平板皮套、皮板包、指環扣及車充共39組及行動印表機EPSON WF-100共9組另，與中華電信合作4G網路無通話功能。 (七)辦理平臺功能增修使用說明會教育訓練主要針對「現有系統功能之提升及其操作方式」與「系統新開發功能」為主以及說明異常邏輯整體架構，掌握事業資料及異常資料並解讀異常樣態，採用一人一機實機操作，有效提升操作流暢度。 (八)完成製作1部紀錄影片以微電影拍攝整體督察作業過程影片，透過影片內容，可瞭解環保署督察同仁使用數位督察工具及相關督察作業執行過程，編輯製作成1部3分鐘紀錄影片。 (九)協調彙整客服意見及溝通管理本計畫執行期間，仍秉持者服務精神繼續為使用者提供良好與暢通的服務管道進行意見反應或諮詢。持續進行其他行政作業，包含例行工作會議等行政事務工作處理。
中文關鍵字	督察、環保業務、資料取得、智慧邏輯

中文摘要

本年度建置平臺九大項執行主要成果如下： (一)維護修正本計畫平臺功能 1.主系統依使用者意見優化平臺友善度，包含重新調整與各業務單位資料彙整；批次上傳照片功能；邏輯訊息WEB介面等功能；透過其他業務資料加值服務，利用視覺化軟體顯示案件異常點，以加強資訊顯示豐富度。 2.GIS系統依使用者意見強化GIS，為配合工廠管理輔導法生效後，執行臨時登記工廠之督察管理工作，導入臨登工廠查詢資料及圖層，有助於在第一時間提供督察人員了解臨登工廠狀況，強化了整體的督察效益。 3.子系統今年度針對督察APP於12月前共更新了4個版次，解決了一直以來的使用問題，並新增採樣配置圖可上傳圖片或者定位繪製功能，於10月辦理了三場次的教育訓練，在教育訓練中使用者對APP的提問狀況與過往相比已減少許多，由此可見目前的督察APP已可滿足現行督察工作需求。 (二)依計畫需求更新介接相關系統資料平臺已完成蒐集16個各業務單位資料，已全為自動介接方式取得，共386張資料表。 (三)勾稽邏輯模組增修透過資深督察人員之專業知識、思維邏輯及多年經驗，並藉由電腦的進階分析，建立各種不同型態督察案件實績範例，以傳承現場督察經驗與提升督察效率，本計畫持續充實督察相關資料，建置事業異常資料分析平臺，以現有事業許可及申報資料為基礎建立分析模組，以利督察人員快速查找事業異常狀況並自動將分析結果導入子系統(APP)內，使其至現場時可依循異常項目進行督察。 (四)環境影響潛勢增修透過經驗彙整，盤點取得所需分析資料，人員逐一比對及找出資料間關係邏輯並建立模組及制定基本項目與進階項目分數、權重制定等；並彙製污染熱區發展概念圖，使同仁快速了解污染熱區建構機制。 (五)人工智慧應用導入今年度已從書籍、碩士論文、期刊、新聞稿、電子報、網路文章及語音導入官方網站國內、外智能語語音助理資料蒐集，依據108年創建之Grace督察助理服務內容，擴充語音查詢主題，包含基礎功能操作、事業資料查詢、預排行程功能及污染法規查詢。導入該類服務架構，今年109年使用Actions on google支援的語意解析工具，透過Server上整合Dialogflow，逐步建構語音雛型。先從詢問管制編號或名稱提問事業資料，導入該類服務架構，作法逐一從語意研析、語意建模，語意訓練等方式，循環式建構開始。 (六)採購各項硬體設備今年度已採購採購平板Samsung Galaxy Tab A 10.1 (2019)，相關配件包含觸碰筆、平板保護貼(霧面)、平板皮套、皮板包、指環扣及車充共39組及行動印表機EPSON WF-100共9組另，與中華電信合作4G網路無通話功能。 (七)辦理平臺功能增修使用說明會教育訓練主要針對「現有系統功能之提升及其操作方式」與「系統新開發功能」為主以及說明異常邏輯整體架構，掌握事業資料及異常資料並解讀異常樣態，採用一人一機實機操作，有效提升操作流暢度。 (八)完成製作1部紀錄影片以微電影拍攝整體督察作業過程影片，透過影片內容，可瞭解環保署督察同仁使用數位督察工具及相關督察作業執行過程，編輯製作成1部3分鐘紀錄影片。 (九)協調彙整客服意見及溝通管理本計畫執行期間，仍秉持者服務精神繼續為使用者提供良好與暢通的服務管道進行意見反應或諮詢。持續進行其他行政作業，包含例行工作會議等行政事務工作處理。

中文關鍵字

督察、環保業務、資料取得、智慧邏輯

類型	檔名	檔案大小	說明	最新版公開日期
期末報告	109年督察工作管理平臺功能提升及維護工作-期末報告定稿(不含附件)-部分公開版.pdf	1MB		2021/2/1 上午 12:00:00

摘要	In 2020, the nine primary results of this project are as follows: (I) Maintain and improve platform functions 1. Main system The user-friendliness of the system platform was optimized according to users’ feedback, including data readjustment and integration for agencies, batch photo upload, and logical message WEB interface. By using the data value-added services, visualization software was adopted to display anomalous cases to enhance the information presentation. 2. GIS system This project improved the GIS system according to the user’s feedback. After the Factory Management Act coming into effect, the factory information and maps were introduced into the system to inspect and manage temporarily registered factories. The function instantaneously provided inspectors with information on the factory conditions and thus improved the overall inspection efficiency. 3. Subsystem By December this year, the inspection app was updated four times to resolve long-standing problems. Functions of picture uploading or location drawing on the sample layout was incorporated into the system. Three educational training courses were held in October. During the training, questions regarding the app were considerably fewer than before, indicating that the current app met the inspectors’ requirements. (II) Update and interconnect related data The platform has collected data from 16 agencies. A total of 386 data sheets were obtained by automatic interconnection. (III) Improve inspection logic modules Different types of examples were established through advanced data analysis based on the professional knowledge, logical thinking, and experience of senior inspecting officers. These examples provided onsite inspection experiences and improved inspection efficiency. This project continued to collect data for the inspection system and establish an analysis platform for examining unusual data. Analysis modules were created using existing industry permits and reporting data to enhance abnormal data inquiry efficiency. The module could automatically introduce analytical results into the app of the subsystem so that inspecting officers could perform examinations based on the unusual data onsite. (IV) Evaluate environmental impact potential This project reviewed previous inspections to determine the required data for analysis. The project personnel carefully identified the correlation logic among data, established modules, and formulated the score and weight of basic and advanced data categories. A conceptual graph of pollution hotspot development was created to enhance the personnel’s knowledge of related topics. (V) Introduce AI applications into the system The project team collected data from books, master theses, journals, press releases, e-newsletters, online articles, as well as used voice importation to incorporate data into the domestic and foreign intelligent voice assistant of the official website. A voice inquiry function was added to Assistant Inspector Grace (created in 2019) with the capability of answering various questions with topics including basic function operations, industry data query, scheduling function, and pollution regulations query. In 2020, this project used the semantic parsing tool supported by Actions on Google and integrated Dialogflow on the server to establish a prototype of voice service. A user initiated the voice service by asking for a control number or the name of a company, and the system would introduce the user into the service framework. The voice service was established through a circular method with steps including semantic analysis, semantic modeling, and semantic training. (VI) Purchase hardware This project purchased a total of 39 sets of Samsung Galaxy Tab A 10.1 (2019), and the accessories included styluses, matte screen protectors, pouches, bags, phone ring holders, and car chargers. Nine sets of EPSON WF-100 mobile printers were also purchased. In addition, this project applied for a 4G internet access service from Chunghwa Telecom for these devices. (VII) Organize training courses on the newly-added functions The educational training courses focused on the topics of “the improvement of existing system functions and operation” and “newly developed functions.” The objectives of the training courses were to introduce the overall framework of abnormal logic, demonstrate general and abnormal data, and interpret abnormal patterns. Each participant was distributed with a mobile device to practice the system to improve their learning outcome. (VIII) Produce one documentary film The project team shot a micro-film to record the overall inspection process. The film demonstrated how the EPA inspectors used digital inspection tools and their inspection procedures. The film was edited and made into a 3-minute documentary film. (IX) Assist in integrating customer feedback and communications management During project implementation, the project personnel kept the spirit of service and continued to provide users with a quality service channel for comments or advice. The project personnel continued to fulfill administrative tasks such as routine work meetings.
英文關鍵字	Inspection, environmental protection business, information access, smart logic

摘要

In 2020, the nine primary results of this project are as follows: (I) Maintain and improve platform functions 1. Main system The user-friendliness of the system platform was optimized according to users’ feedback, including data readjustment and integration for agencies, batch photo upload, and logical message WEB interface. By using the data value-added services, visualization software was adopted to display anomalous cases to enhance the information presentation. 2. GIS system This project improved the GIS system according to the user’s feedback. After the Factory Management Act coming into effect, the factory information and maps were introduced into the system to inspect and manage temporarily registered factories. The function instantaneously provided inspectors with information on the factory conditions and thus improved the overall inspection efficiency. 3. Subsystem By December this year, the inspection app was updated four times to resolve long-standing problems. Functions of picture uploading or location drawing on the sample layout was incorporated into the system. Three educational training courses were held in October. During the training, questions regarding the app were considerably fewer than before, indicating that the current app met the inspectors’ requirements. (II) Update and interconnect related data The platform has collected data from 16 agencies. A total of 386 data sheets were obtained by automatic interconnection. (III) Improve inspection logic modules Different types of examples were established through advanced data analysis based on the professional knowledge, logical thinking, and experience of senior inspecting officers. These examples provided onsite inspection experiences and improved inspection efficiency. This project continued to collect data for the inspection system and establish an analysis platform for examining unusual data. Analysis modules were created using existing industry permits and reporting data to enhance abnormal data inquiry efficiency. The module could automatically introduce analytical results into the app of the subsystem so that inspecting officers could perform examinations based on the unusual data onsite. (IV) Evaluate environmental impact potential This project reviewed previous inspections to determine the required data for analysis. The project personnel carefully identified the correlation logic among data, established modules, and formulated the score and weight of basic and advanced data categories. A conceptual graph of pollution hotspot development was created to enhance the personnel’s knowledge of related topics. (V) Introduce AI applications into the system The project team collected data from books, master theses, journals, press releases, e-newsletters, online articles, as well as used voice importation to incorporate data into the domestic and foreign intelligent voice assistant of the official website. A voice inquiry function was added to Assistant Inspector Grace (created in 2019) with the capability of answering various questions with topics including basic function operations, industry data query, scheduling function, and pollution regulations query. In 2020, this project used the semantic parsing tool supported by Actions on Google and integrated Dialogflow on the server to establish a prototype of voice service. A user initiated the voice service by asking for a control number or the name of a company, and the system would introduce the user into the service framework. The voice service was established through a circular method with steps including semantic analysis, semantic modeling, and semantic training. (VI) Purchase hardware This project purchased a total of 39 sets of Samsung Galaxy Tab A 10.1 (2019), and the accessories included styluses, matte screen protectors, pouches, bags, phone ring holders, and car chargers. Nine sets of EPSON WF-100 mobile printers were also purchased. In addition, this project applied for a 4G internet access service from Chunghwa Telecom for these devices. (VII) Organize training courses on the newly-added functions The educational training courses focused on the topics of “the improvement of existing system functions and operation” and “newly developed functions.” The objectives of the training courses were to introduce the overall framework of abnormal logic, demonstrate general and abnormal data, and interpret abnormal patterns. Each participant was distributed with a mobile device to practice the system to improve their learning outcome. (VIII) Produce one documentary film The project team shot a micro-film to record the overall inspection process. The film demonstrated how the EPA inspectors used digital inspection tools and their inspection procedures. The film was edited and made into a 3-minute documentary film. (IX) Assist in integrating customer feedback and communications management During project implementation, the project personnel kept the spirit of service and continued to provide users with a quality service channel for comments or advice. The project personnel continued to fulfill administrative tasks such as routine work meetings.

英文關鍵字

Inspection, environmental protection business, information access, smart logic