Số hóa trong đo lường pháp định
Trong đo lường pháp định, quá trình số hóa được thể hiện chủ yếu thông qua sáng kiến “Hệ thống Đo lường Thông minh” (Intelligent Measuring Systems) (Ví dụ, đồng hồ thông minh) dựa trên quá trình “Số hóa Chuyển đổi Năng lượng” (Digitalization of the Energy Transition), hệ thống đo lường phân tán và hạ tầng điện toán đám mây. Nhìn chung, cần có những nỗ lực không ngừng để chuyển đổi số hệ thống đo lường pháp định và NQI, vì hoạt động số hóa được đặt trong một số lĩnh vực cụ thể.
PTB có các đơn vị chịu trách nhiệm kiểm tra các đặc tính vật lý của thiết bị đo trong đo lường pháp định. Các đặc tính này được liên kết với các ứng dụng trong cảm biến thông minh, hệ thống đo lường phân tán và hạ tầng điện toán đám mây. Hiện tại, việc tích hợp các công nghệ ICT vào các thiết bị đo vẫn bị hạn chế bởi các quy định, yêu cầu cao trong hoạt động đánh giá sự phù hợp và quá trình phê duyệt thiết bị đo.
Do đó, các nhà sản xuất đang coi các quy định và thủ tục phê duyệt là một “trở ngại” cho đổi mới sáng tạo, trở thành hạn chế cạnh tranh về lâu dài. PTB thực hiện hỗ trợ quá trình này bằng cách thiết kế các kiến trúc tham chiếu tuân thủ pháp luật, cung cấp giải pháp với tính bảo mật phù hợp. Các nhà sản xuất sử dụng kiến trúc tham chiếu do PTB cung cấp cho các thiết bị đo để thực hiện quy trình phê duyệt nhanh chóng, qua đó đưa sản phẩm ra thị trường nhanh hơn.
Đồng thời, kiến trúc tham chiếu này đảm bảo tuân thủ các tiêu chuẩn bảo mật bắt buộc và việc thực hiện phương thức thanh tra, kiểm tra. Đặc biệt, việc phát triển kiến trúc tham chiếu có thể được phân chia thành 02 phần: một phần liên quan đến thiết bị đo được tuân thủ theo quy định pháp lý; một phần cho phép các nhà sản xuất phát triển giải pháp mới, sáng tạo, tùy chỉnh theo yêu cầu của người sử dụng (không phải trải qua quá trình phê duyệt).
Xu hướng này hướng tới các thiết bị đo với các thành phần phân tán, được số hóa dựa trên ứng dụng dịch vụ điện toán đám mây. Các nhà sản xuất có thể có nhiều phương án khác nhau trong việc thu thập, xử lý dữ liệu và đưa ra các giá trị đo của thiết bị đo. Tuy nhiên, công tác thanh tra, kiểm tra sẽ gặp một số trở ngại kỹ thuật.
Ví dụ, máy đo liều lượng có thể được thực hiện trên thiết bị di động hoặc dựa trên nền tảng web. Máy đo liều lượng được kết nối với máy tính để gửi dữ liệu lên điện toán đám mây của nhà sản xuất thông qua Internet. Từ dữ liệu thu được, máy tính có thể tạo ra kết quả đo liều lượng, lưu trữ kết quả này trong cơ sở dữ liệu về các thông số hiệu chuẩn. Cách tiếp cận này hiện đã trở nên khá phổ biến. Tuy nhiên, cách thức này lại không “tương thích” với các quy định hiệu chuẩn cũng như với các quy định về hướng dẫn bảo vệ bức xạ của Đức.
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)
Sáng kiến nền tảng tin cậy về Đám mây Đo lường
Nền tảng số tin cậy này bao gồm các thiết bị đo được phê duyệt, đảm bảo nhận dạng và giao tiếp an toàn, cung cấp dịch vụ hỗ trợ cho việc thực hiện phương thức thanh tra, kiểm tra, góp phần hợp lý hóa các quy trình quản lý. Hội đồng Khoa học và Nhân văn Đức đã thống nhất ủng hộ sáng kiến EMC.
Trong các Sắc lệnh và Pháp lệnh liên quan trực tiếp đến năng lực của PTB, vấn đề bảo mật là cần thiết, cần được chứng nhận bởi BSI hoặc một trung tâm kiểm định được BSI ủy quyền.
Nhóm công tác “Máy chơi trò chơi rút tiền” (Cash Gaming Machines) đã đánh giá và hỗ trợ chuyên môn về bảo mật ICT trong quy trình của các nhà sản xuất máy trò chơi rút tiền trong phạm vi phê duyệt loại theo Pháp lệnh Trò chơi (SpielV). Nhóm công tác “Phần mềm Đo lường” (Metrological Software) đánh giá và hỗ trợ phân tích rủi ro đối với phần mềm và các thành phần ICT của các nhà sản xuất thiết bị đo trong phạm vi hoạt động đánh giá sự phù hợp. Cả hai nhóm công tác có chịu trách nhiệm cập nhật và công bố các véc-tơ tấn công đến quá trình bảo mật.
Trong phạm vi của “Chương trình nghị sự số” (Digital Agenda), các quy định trong đo lường pháp định sẽ bị ảnh hưởng bởi các hoạt động đánh giá rủi ro bảo mật ICT. Vì mục đích này, PTB thành lập một nhóm công tác “Phân tích rủi ro và chuyên môn về an ninh đo lường” (Metrological Security Expertise and Risk Analysis) để hoạt động độc lập giống như một trung tâm kiểm định cho tất cả các lĩnh vực đo lường được BSI chấp thuận.
Tập trung dữ liệu là điều kiện quan trọng để khai thác hiệu quả phân tích dữ liệu lớn. Về nguyên tắc, sáng kiến “Bảo trì Dự đoán” (Predictive Maintenance) được áp dụng để tăng hiệu quả trong các lĩnh vực kiểm định, hiệu chuẩn trong khoảng thời gian cố định. Phương pháp mô hình thống kê có thể thiết lập các “dự báo” và đảm bảo chất lượng độ chính xác của phép đo đối với hoạt động kiểm định và hiệu chuẩn. Tuy nhiên, để đạt được mục tiêu này, các nghiên cứu sửa đổi các quy định pháp luật về hoạt động kiểm định và hiệu chuẩn là rất cần thiết.
https://tcvn.gov.vn/