Hozirgi vaqtda iqtisodiyotning turli tarmoqlarida “aqlli” va boshqa istiqbolli texnologiyalarni, shuningdek, katta hajmdagi ma’lumotlarni qayta ishlovchi texnologiyalarni joriy etishning konseptual va uslubiy asosini shakllantirish amaliyoti shiddat bilan amalga oshib bormoqda. Ayniqsa, ishlab chiqarish korxonalarida mehnat muhofazasini tashkil etish va boshqarish jarayonlarida raqamli transformatsiya texnologiyalari o‘zaro integratsiyalashgan va avtomatlashtirilgan tizimlar orqali xavfsizlikni ta’minlash va xodimlar salomatligini saqlashda katta o‘zgarishlar kiritmoqda. Ushbu texnologiyalar korxonalardagi jarayonlarni kuzatish, boshqarish va xavf-xatarlarni oldindan aniqlash imkonini beradi.
Hozirgi vaqtda iqtisodiyotning turli tarmoqlarida “aqlli” va boshqa istiqbolli texnologiyalarni, shuningdek, katta hajmdagi ma’lumotlarni qayta ishlovchi texnologiyalarni joriy etishning konseptual va uslubiy asosini shakllantirish amaliyoti shiddat bilan amalga oshib bormoqda. Ayniqsa, ishlab chiqarish korxonalarida mehnat muhofazasini tashkil etish va boshqarish jarayonlarida raqamli transformatsiya texnologiyalari o‘zaro integratsiyalashgan va avtomatlashtirilgan tizimlar orqali xavfsizlikni ta’minlash va xodimlar salomatligini saqlashda katta o‘zgarishlar kiritmoqda. Ushbu texnologiyalar korxonalardagi jarayonlarni kuzatish, boshqarish va xavf-xatarlarni oldindan aniqlash imkonini beradi.
В настоящее время активно развивается практика формирования концептуальной и методологической основы внедрения «умных» и других перспективных технологий, а также технологий обработки больших объемов данных в различные отрасли экономики. Технологии цифровой трансформации вносят существенные изменения в обеспечение безопасности и сохранение здоровья сотрудников, особенно в процессах организации и управления охраной труда на производственных предприятиях посредством интегрированных и автоматизированных систем. Эти технологии позволяют осуществлять мониторинг и управление процессами на предприятиях, а также раннее выявление рисков.
Currently, the practice of forming a conceptual and methodological basis for the introduction of “smart” and other promising technologies, as well as technologies for processing large amounts of data, is rapidly progressing in various sectors of the economy. In particular, in the processes of organizing and managing labor protection in manufacturing enterprises, digital transformation technologies are making significant changes in ensuring safety and maintaining employee health through integrated and automated systems. These technologies allow monitoring, managing processes in enterprises, and identifying risks in advance.
| № | Имя автора | Должность | Наименование организации |
|---|---|---|---|
| 1 | SAIDOV D.N. | PROFESSOR | Тashkent State Transport University |
| 2 | Sulaymanov S.S. | DOKTORANT | Тashkent State Transport University |
| 3 | Batirova M.M. | KATTA O‘QITUVCHI | Тashkent State Transport University |
| № | Название ссылки |
|---|---|
| 1 | 1. O‘zbekiston Respublikasi Prezidentining qarori, 28.04.2020 yildagi PQ-4699-son QARORI |
| 2 | 2. Sarker, I.H. Machine Learning for Intelligent Data Analysis and Automation in Cybersecurity: Current and Future Prospects. Ann. Data. Sci. 10, 1473–1498 (2023). https://doi.org/10.1007/s40745-022-00444-2. |
| 3 | 3. Автоматизированный многовариантный метод расчета показателей безопасности функций защит в системах управления технологическими процессами. Скрыпникова М.К.1. https://doi.org/10.31145/1999-513x-2023-1-32-40 |
| 4 | 4. Hämäläinen, M. Organizations’ digital transformation—toward a systematic approach to organizations’ digital transformation. JYU dissertations (2019). |
| 5 | 5. V. Özdemir, N. Hekim, Birth of Industry 5.0: Making Sense of Big Data with Artificial Intelligence, “the Internet of Things” and Next-Generation Technology Policy. OMICS A Journal of Integrative Biology. 22, 65–76 (2018). |
| 6 | 6. Assante, Michael, and Andrew Bochman. IoT, Automation, Autonomy, and Megacities in 2025: A Dark Preview. Center for Strategic and International Studies (CSIS), 2017. JSTOR, http://www.jstor.org/stable/resrep23272. Accessed 18 Oct. 2024. |
| 7 | 7. https://www.mckinsey.com/~/media/McKinsey/Industries/Technology%20Media%20and%20Telecommunications/High%20Tech/Our%20Insights/The%20Internet%20of%20Things%20The%20value%20of%20digitizing%20the%20physical%20world/Unlocking_the_potential_of_the_Internet_of_Things_Executive_summary.ashx |
| 8 | 8. https://safetyiq.com/insight/big-data-for-ehs-a-guide-to-using-data-analytics-for-safety-management/ |
| 9 | 9. https://www2.deloitte.com/content/dam/Deloitte/us/Documents/deloitte-analytics/us-ai-institute-dossier-managing-risk-trust.pdf |
| 10 | 10. https://www.weforum.org/publications/governance-in-the-age-of-generative-ai/ |
| 11 | 11. https://hyperspace.mv/experience-learning-by-doing-with-vr/ |
| 12 | 12. https://www.sciencedirect.com/science/article/pii/S2093791119304056 |
| 13 | 13. https://www.plego.com/iot-software-development/ |
| 14 | 14. https://www.abnewswire.com/pressreleases/big-data-analytics-in-healthcare-market-may-seek-potential-gain-in-revenue-size-by-coming-year_459285.html |
| 15 | 15. https://16k20.ru/robotization/ |
| 16 | 16. https://www.pinterest.com/pin/857935797740112894/ |