| Autor: |
V. A. Kuzmin, S. I. Shanygin, S. An. Chunin, G. S. Nikitin, M. E. Mkrtchyan, Z. G. Kaurova, D. A. Orekhov, A. V. Tsyganov, A. B. Aidiev, N. V. Mishchenko, V. V. Achilov |
| Rok vydání: |
2022 |
| Zdroj: |
Legal regulation in veterinary medicine. :43-50 |
| ISSN: |
2782-6252 |
| Popis: |
A large number of sensors are used to monitor the environment, and a large volume of spatio-temporal data on epizootic risks and the environment is processed in real time. To date, GIS data models are represented by static models and more modern time models. However, many of the epizootological and environmental data management systems do not meet the requirements of real-time data management. The purpose of the work is to propose, based on the analysis of foreign literature sources, a modern method for managing epizootological and environmental data based on a new GIS model in real time in comparison with the Sensor web service model.Two experiments were conducted in the urban environment and on the territories of livestock farms with different epizootic situations for potential risk management in zoonoses. Real-time monitoring of air quality and real-time monitoring of soil moisture was carried out in Wuhan (China). The circulation of pathogens of zoonoses and sapronoses in the environment, including in the soil, and their preservation in the form of spores and hard-to-cultivate forms, determines the ecological component of emergent epizootics and epidemics with the coverage of new areas. Experimental results have shown that the use of the proposed GIS data model on the Sensor web service platform for managing epizootological/epidemiological and environmental data in real time is reliable and effective. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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