The name of the base system (platform): | Microsoft Azure |
Developers: | Komponenta |
Branches: | Agriculture and fishery |
Technology: | Internet of Things of Internet of Things (IoT) |
Content |
"Component" - the developer of the original telematic kSense platform based on use of Microsoft Azure. kSense is an automatic, self-training hardware and software system for collecting, processing and data analysis of telemetry. During creation of a complex long-term experience of analytics and advanced methods of collecting and data processing were used. The mathematical model of a status of an object in real time is result of work of a complex. Implementation and use of kSense will allow to receive a return maximum from work of all engineering systems of an object and more effectively to use the available resources.
- control a production chain, use the best practices, minimize negative situations at minimization of participation of the person
- use of real state-of-health data of fields, animals, plants, executions of technology processes and production discipline
kSense and "Smart ear"
Tasks
- Search of missing of animals
- Control of accomplishment of zootechnical transactions
- Control of behavior of animals
- "Individual" approach to animals
Solution
- Permanent monitoring of location and status of animals
- The passport of an animal - "always with"
- Control of activity of personnel
- Zootechnical transactions - is "strictly individual"
- Economy of resources - up to 20-30%
- The unified and optimal technology processes "sewed" by kSense
kSense and irrigation – we will not squander money
Tasks
- It is effective to spend water for irrigation
- Consider features of hydrogeology
- Accounting of real weather conditions and relief
- Timely application of fertilizers and pesticides
Solution
- Monitoring of real humidity of soils, taking into account a relief and local weather
- Formation of a technique of irrigation on the basis of the analysis of real data
- Economy of water resources - 10% of economy for 1500 Hectares are 5 Million rubles.
- Extraction of knowledge from data by means of kSense, application of fertilizers and insecticides in time and effectively
kSense and refrigerating appliances – we will save and we will increase
Tasks
- High-quality reliability augmentation of operation of refrigerating appliances
- Localization of emergency situations
- Forecasting
- Snizheniyestrakhovy costs
Solution
- Reduction of equipment downtimes for 20%
- Failure prediction of the equipment and hint
- The monitoring system on the basis of kSense - exact localization of fault and the description of a solution leads to cutting of costs for service for 40%