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OOO «ГРОЗА»
Lightning network
GrozМeteoNetRussia 2.0.
The advanced system of accurate forecasting and
online warning of dangerous weather
GrozMetеo 1.0 .
www.grozmeteo.ru
Sergei Akimov
akimovss@yandex.ru
News about weather
For 16 years, the
number of dangerous
weather phenomena in
Russia has tripled.
By 2025, this number
has doubled.
0
100
200
300
400
500
600
1998 2004 2010 2014
 Roscosmos revised plan update meteorological satellites.
The new satellites will run only in 2023. This does not
improve the accuracy of weather forecasts in Russia up to
2025 year.
GrozMetеo
This is a network of lightning detection
and mobile aplication. User is on
average one hour before the event
gets:
Automatic notification of
approaching thunderstorms,
precipitation (rain and hail), squally
winds, tornadoes;
Visualization of events on the map
within a radius of 30 km around.
Where should a warning about approaching dangerous weather?
Grozmeteo.ru
For quality of service needed modernization of the
existing network of lightning detection.
GrozMeteoNetRussia
1.0 – a network of 17 simple
devices, has limited
functionality.
GrozMeteoNetRussia 2.0 – The
new network of Earth Networks detectors
 The best technology in the world;
The forecast on the basis of its
own data;
Service in any part: from the
village to the country, high degree
of detail and in real time;
API Interface;
Comparison of existing and new networks
Detection of all lightning with their
characteristics
Defining the boundaries of
hazardous areas, monitoring their
movements, forecast occurrence
squalls, tornadoesForecast of precipitation
August 24, 2015 Black Sea coast
Detection only cloud – ground
(CG) discharges
Capabilities EN
(USA)
TOA
Systems
(USA)
Vaisala
(Fin.,
USA)
Alwes
(Russia)
Верея МР
(Russia)
Detection of cloud-to-ground
discharges / positioning accuracy Yes /
300-1000 m
Yes /
300-1000
m
Yes /
300-1000
m
Yes /
300-1000
m
Yes /
5-25 km
The detection of inter-cloud
discharges
Yes Yes Yes Yes No
Determination of discharge polarity
cloud-to-ground / power
characteristics
Yes / Yes Yes / Yes Yes / Yes Yes / Yes Yes / -
Import real-time data in a GIS system
Yes Yes Yes Yes Yes
The rainfall forecast Yes Yes No No No
The forecast for 5-45 minutes of the
type of precipitation, the amount of
rainfall, areas squally wind,
tornadoes, with a precise definition of
coordinates.
Yes No No No No
Earth Networks Advantages over other lightning detection
systems.
Capabilities
GrozMeteo Росгидромет,
Gismeteo,
Yandex Meteum
RP5.ru
Automatic warning for 1 hour before a
thunderstorm with a precise definition of
the time, place and visualization.
Automatic warning for 15-45 minutes of
hail, heavy rain, squally winds with the
definition of time and space
visualization.
Import data in real-time GIS systems
Competitive advantages compared with the
services - the leaders of the Russian market
Regular income from recurring payments:
 Advertising on mobile applications (B2C);
 SMS notifications (B2C, B2B);
 Payments for remote control of SMART devices (B2C,
B2B);
 Payments for access to data (B2B, B2G).
Regular income as a% of product sales and services
partners (B2B и B2G):
 Manufacturers of navigation equipment and software,
automakers;
 Manufacturers of mobile and Smart devices;
 Providers of information about the weather and
thunderstorms for cellular operators and other clients.
Business model
B2C: 10-11 million users in Russia for 5 years, to 23 million in
Russia and the CIS. Monetization options
Сегмент B2B: Monetization options
Expected market share
*- Description of cases at the end of the presentation
Sergei Akimov, Russia. Owner of weather
station network on the Taimyr Peninsula,
lightning detection networks in Siberia and
southern Russia.
In the commercial meteorology since 2008 year.
The team
Ari Davidov, USA. Mentor. Director of
International Business Development at Earth
Networks - a strategic partner of Groza LLC
EMERCOM Russia - Strategic Partner of Groza
LLC. It provides free infrastructure, technical
and information support.
It is planned to ensure the data
in the Russian Federation from
the western border to the
Krasnoyarsk Territory,
inclusive, in 2018 year - the
whole of Russia.
In the 2017-19 years data will
be available in the Baltics, the
Caucasus, Belarus,
Kazakhstan, Ukraine, Central
Asia.
The data in Russia and CIS
The area of the storm data in 2016
The data is available in the North
Caucasus, Southern, Central and
parts of the Volga federal districts
Contacts
Sergei Akimov
tel.: +79039282493
+79134988879
akimovss@yandex.ru
www.grozmeteo.ru
GROZA LLC
The case Internet of Things, "Using
of lightning coordinates to control
devices in real time"
Data of thunderstorms can remotely control, the
switching off and on electric sockets in the Smart
house, the SMART devices, alarm systems and
uninterruptible power supplies. The coordinates of each
lightning determined with an accuracy of 300 meters,
so the shutdown will take place only in case of real
danger.
So you can improve fire safety, reduce the likelihood
of damage to expensive equipment and electronics.
The only condition - it need to give the exact
geographical coordinates of the controlled devices.
The automatic switching on and off
electrical devices during a thunderstorm.
Power for Smart home
SMART equipment
An automatic switching on /off of electrical
appliances during storms
Coordinates of
lightning in real
time
The additional
functionality to
existing software:
Settings:
•the exact
geographical location;
•management
scenarios
Hub, control unit
UPS with remote control
Using in SMART devices
Visualization of a thunderstorm in SMART TV;
user warning about of the dangers;
automatic shut-off equipment.
ВЫКЛ.
ШТОРМ В 10 КМ!
Visualization weather service, warning the user of the danger, automatic
shut-off equipment
Using in SMART devices
Global opportunities
The project can operate in global markets, where there is
the presence of the partner – Earth Networks:
USA;
Africa;
Australia;
Brazil;
India;
Southeast Asia;
In the short term - Western and Eastern Europe
Market
In 2017 in Russia SMART TV park will be 29.8 mln units, in
the world will be 765 mln. The sales volume in 2019 will
amount to 185 mln units.
In 2017, the number of Smart homes is projected at 621.8
million in the world.
In 2017, the number of connected things in homes will
reach 1.06 bln units. In second place are commercial
buildings (648 mln).
Service 1% of the global market could reach 25 mln units
with an annual growth rate of 2-4 mln at a price of $1-2 per
year for the management service.
Case "Using the weather forecast
for sales growth in the retail"
The loss of sales due to
the weather is estimated
at 0.2-1% of revenues.
(planalytics.com)
Lost from damage, theft
(loss) of the goods is
estimated between 0.5
and 2% of the proceeds
in equal shares.
The losses in the retail on the weather comparable to
the losses from theft and damage to the goods.
1%
1%
1%
Кражи
товаров
в
ритейле
Порча
товаров
в
ритейле
Потери
ритейла
от
погоды
Since 2008, Russian retail is trying to get permission to
write off losses of up to 1% of revenue, without documentary
evidence of the absence of guilty persons. But the
resolution is not so far.
The correlation coefficient between the temperature and the price of
the goods is not very large - about 0.5. But if we compare the demand
for versatile, or sales, with the temperature, the correlation coefficient
can exceed 0.95. Weather changes affect the price of the commodity is
not directly but through the demand for this product.*
Sudden weather change alters the behavior of customers - increases
the need for a specific set of goods, or certain services - for example,
the delivery of products at home, the proposals from the pharmacy, the
nearest point of catering, venues and times etc.
If the seller will know exactly what is in a particular place at a particular
time may increase the demand for its product and increase the activity
of buyers in search of goods (services), it is necessary to use to
increase sales.
http://www.agroinsurance.com/ru/agribusiness_insurance/products/weather_index/?pid=598
Impact of weather on demand and customer behavior
Advertising
agency,
retail
Analysis of user geolocation, personal and best offers of
goods and services from the nearest points of the business
presence.
Normal geolocation Weather forecast + dramatic weather
changes for the 1-2 hours before the event
Sales
growthChannels of
personalized
offers
How it works
Options for using of weather forecast for the offers
personalization
Forecast a
sharp change
in the weather,
for 1-2 hours
before the
event
 Correction of the top sheet sales;
 Offers from pharmacies;
 Offers from online stores;
 Offers delivery to a home;
 geo-targeted offers from the nearest
points of trade and services - catering,
cinemas, malls...
Short-term, for 1-
3 days, the
forecast changes
in the weather
 Correction of the top sheet sales;
 Offers sales;
 Geo-targeted offers from the service
sector - cinemas, malls, etc..;
 Correction logistics.
Personal communications channels
Social, data on
January 2016
Retail, Top 30 717 000 683 000 3,55 mln 86,2 000 140 000
Cell phone operators 983 000 745 000 3,5 mln 96,7 000 8700
Catering 54 000 1,24 mln 916 000 28 000 34,4 000
Banks 1,41 mln 466 000 1,8 mln 574 000 56,3 000
Insurers 331 21 000 16 000 1,7 000
Total 3,16 mln 3,15 mln 9,8 mln 787 000 240 000
Retail, internet-retail
Personal recommendation of search services
Digital video advertising (Digital Signage) in malls and streets
+
Using the activity of users in social networks in bad
weather for sales growth
The seller may make the "right" offer at the right time, increase sales,
increase loyalty.
In bad weather dramatically
increases user engagement
in social networks
The seller has contact with
customers through social
network
The seller knows the exact
information about the change
of weather, patterns of the
customer, its preferences.
Using the activity of users in social networks in bad
weather for sales growth
Market in Russia and CIS
Country Revenue
2014, bln*
Losses from
weather
0,2-1%
Share of project,
1% from losses
Russia $680 $1,36-6,8 bln $13-68 mln
Ukraine $36,6 $73,2-366 mln $0,73-3,66 mln
Kazakhstan $32,4 $64,8-324 mln $0,65-3,24 mln
Byelorussia $21,6 $43,2-216 mln $0,43-2,16 mln
Azerbaijan $21,1 $42,2-211 mln $0,42-2,1 mln
Georgia $10 $20-100 mln $0,2-1 mln
Total $801,7 $1,6-8 bln $16-80 mln
Global opportunities
The project can operate in global markets, where there is
the presence of the partner – Earth Networks:
USA;
Africa;
Australia;
Brazil;
India;
Southeast Asia;
In the short term - Western and Eastern Europe
Forecast for global Connected car
market in 2018 - € 40 billion!
Forecast dangerous weather
with visualization - a
promising trend
in information services for
transport.
Forecast of the project - up
to 0.45% of the market in
Russia and CIS - $ 4.5
million.
Russia's share near € 1 billion, the CIS countries - € 200
million

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Groza english1

  • 1. OOO «ГРОЗА» Lightning network GrozМeteoNetRussia 2.0. The advanced system of accurate forecasting and online warning of dangerous weather GrozMetеo 1.0 . www.grozmeteo.ru Sergei Akimov akimovss@yandex.ru
  • 2. News about weather For 16 years, the number of dangerous weather phenomena in Russia has tripled. By 2025, this number has doubled. 0 100 200 300 400 500 600 1998 2004 2010 2014  Roscosmos revised plan update meteorological satellites. The new satellites will run only in 2023. This does not improve the accuracy of weather forecasts in Russia up to 2025 year.
  • 3. GrozMetеo This is a network of lightning detection and mobile aplication. User is on average one hour before the event gets: Automatic notification of approaching thunderstorms, precipitation (rain and hail), squally winds, tornadoes; Visualization of events on the map within a radius of 30 km around.
  • 4. Where should a warning about approaching dangerous weather? Grozmeteo.ru
  • 5. For quality of service needed modernization of the existing network of lightning detection. GrozMeteoNetRussia 1.0 – a network of 17 simple devices, has limited functionality. GrozMeteoNetRussia 2.0 – The new network of Earth Networks detectors  The best technology in the world; The forecast on the basis of its own data; Service in any part: from the village to the country, high degree of detail and in real time; API Interface;
  • 6. Comparison of existing and new networks Detection of all lightning with their characteristics Defining the boundaries of hazardous areas, monitoring their movements, forecast occurrence squalls, tornadoesForecast of precipitation August 24, 2015 Black Sea coast Detection only cloud – ground (CG) discharges
  • 7. Capabilities EN (USA) TOA Systems (USA) Vaisala (Fin., USA) Alwes (Russia) Верея МР (Russia) Detection of cloud-to-ground discharges / positioning accuracy Yes / 300-1000 m Yes / 300-1000 m Yes / 300-1000 m Yes / 300-1000 m Yes / 5-25 km The detection of inter-cloud discharges Yes Yes Yes Yes No Determination of discharge polarity cloud-to-ground / power characteristics Yes / Yes Yes / Yes Yes / Yes Yes / Yes Yes / - Import real-time data in a GIS system Yes Yes Yes Yes Yes The rainfall forecast Yes Yes No No No The forecast for 5-45 minutes of the type of precipitation, the amount of rainfall, areas squally wind, tornadoes, with a precise definition of coordinates. Yes No No No No Earth Networks Advantages over other lightning detection systems.
  • 8. Capabilities GrozMeteo Росгидромет, Gismeteo, Yandex Meteum RP5.ru Automatic warning for 1 hour before a thunderstorm with a precise definition of the time, place and visualization. Automatic warning for 15-45 minutes of hail, heavy rain, squally winds with the definition of time and space visualization. Import data in real-time GIS systems Competitive advantages compared with the services - the leaders of the Russian market
  • 9. Regular income from recurring payments:  Advertising on mobile applications (B2C);  SMS notifications (B2C, B2B);  Payments for remote control of SMART devices (B2C, B2B);  Payments for access to data (B2B, B2G). Regular income as a% of product sales and services partners (B2B и B2G):  Manufacturers of navigation equipment and software, automakers;  Manufacturers of mobile and Smart devices;  Providers of information about the weather and thunderstorms for cellular operators and other clients. Business model
  • 10. B2C: 10-11 million users in Russia for 5 years, to 23 million in Russia and the CIS. Monetization options Сегмент B2B: Monetization options Expected market share *- Description of cases at the end of the presentation
  • 11. Sergei Akimov, Russia. Owner of weather station network on the Taimyr Peninsula, lightning detection networks in Siberia and southern Russia. In the commercial meteorology since 2008 year. The team Ari Davidov, USA. Mentor. Director of International Business Development at Earth Networks - a strategic partner of Groza LLC EMERCOM Russia - Strategic Partner of Groza LLC. It provides free infrastructure, technical and information support.
  • 12. It is planned to ensure the data in the Russian Federation from the western border to the Krasnoyarsk Territory, inclusive, in 2018 year - the whole of Russia. In the 2017-19 years data will be available in the Baltics, the Caucasus, Belarus, Kazakhstan, Ukraine, Central Asia. The data in Russia and CIS The area of the storm data in 2016 The data is available in the North Caucasus, Southern, Central and parts of the Volga federal districts
  • 14. The case Internet of Things, "Using of lightning coordinates to control devices in real time"
  • 15. Data of thunderstorms can remotely control, the switching off and on electric sockets in the Smart house, the SMART devices, alarm systems and uninterruptible power supplies. The coordinates of each lightning determined with an accuracy of 300 meters, so the shutdown will take place only in case of real danger. So you can improve fire safety, reduce the likelihood of damage to expensive equipment and electronics. The only condition - it need to give the exact geographical coordinates of the controlled devices. The automatic switching on and off electrical devices during a thunderstorm.
  • 16. Power for Smart home SMART equipment An automatic switching on /off of electrical appliances during storms Coordinates of lightning in real time The additional functionality to existing software: Settings: •the exact geographical location; •management scenarios Hub, control unit UPS with remote control
  • 17. Using in SMART devices Visualization of a thunderstorm in SMART TV; user warning about of the dangers; automatic shut-off equipment. ВЫКЛ. ШТОРМ В 10 КМ!
  • 18. Visualization weather service, warning the user of the danger, automatic shut-off equipment Using in SMART devices
  • 19. Global opportunities The project can operate in global markets, where there is the presence of the partner – Earth Networks: USA; Africa; Australia; Brazil; India; Southeast Asia; In the short term - Western and Eastern Europe
  • 20. Market In 2017 in Russia SMART TV park will be 29.8 mln units, in the world will be 765 mln. The sales volume in 2019 will amount to 185 mln units. In 2017, the number of Smart homes is projected at 621.8 million in the world. In 2017, the number of connected things in homes will reach 1.06 bln units. In second place are commercial buildings (648 mln). Service 1% of the global market could reach 25 mln units with an annual growth rate of 2-4 mln at a price of $1-2 per year for the management service.
  • 21. Case "Using the weather forecast for sales growth in the retail"
  • 22. The loss of sales due to the weather is estimated at 0.2-1% of revenues. (planalytics.com) Lost from damage, theft (loss) of the goods is estimated between 0.5 and 2% of the proceeds in equal shares. The losses in the retail on the weather comparable to the losses from theft and damage to the goods. 1% 1% 1% Кражи товаров в ритейле Порча товаров в ритейле Потери ритейла от погоды Since 2008, Russian retail is trying to get permission to write off losses of up to 1% of revenue, without documentary evidence of the absence of guilty persons. But the resolution is not so far.
  • 23. The correlation coefficient between the temperature and the price of the goods is not very large - about 0.5. But if we compare the demand for versatile, or sales, with the temperature, the correlation coefficient can exceed 0.95. Weather changes affect the price of the commodity is not directly but through the demand for this product.* Sudden weather change alters the behavior of customers - increases the need for a specific set of goods, or certain services - for example, the delivery of products at home, the proposals from the pharmacy, the nearest point of catering, venues and times etc. If the seller will know exactly what is in a particular place at a particular time may increase the demand for its product and increase the activity of buyers in search of goods (services), it is necessary to use to increase sales. http://www.agroinsurance.com/ru/agribusiness_insurance/products/weather_index/?pid=598 Impact of weather on demand and customer behavior
  • 24. Advertising agency, retail Analysis of user geolocation, personal and best offers of goods and services from the nearest points of the business presence. Normal geolocation Weather forecast + dramatic weather changes for the 1-2 hours before the event Sales growthChannels of personalized offers How it works
  • 25. Options for using of weather forecast for the offers personalization Forecast a sharp change in the weather, for 1-2 hours before the event  Correction of the top sheet sales;  Offers from pharmacies;  Offers from online stores;  Offers delivery to a home;  geo-targeted offers from the nearest points of trade and services - catering, cinemas, malls... Short-term, for 1- 3 days, the forecast changes in the weather  Correction of the top sheet sales;  Offers sales;  Geo-targeted offers from the service sector - cinemas, malls, etc..;  Correction logistics.
  • 26. Personal communications channels Social, data on January 2016 Retail, Top 30 717 000 683 000 3,55 mln 86,2 000 140 000 Cell phone operators 983 000 745 000 3,5 mln 96,7 000 8700 Catering 54 000 1,24 mln 916 000 28 000 34,4 000 Banks 1,41 mln 466 000 1,8 mln 574 000 56,3 000 Insurers 331 21 000 16 000 1,7 000 Total 3,16 mln 3,15 mln 9,8 mln 787 000 240 000 Retail, internet-retail Personal recommendation of search services Digital video advertising (Digital Signage) in malls and streets +
  • 27. Using the activity of users in social networks in bad weather for sales growth The seller may make the "right" offer at the right time, increase sales, increase loyalty. In bad weather dramatically increases user engagement in social networks The seller has contact with customers through social network The seller knows the exact information about the change of weather, patterns of the customer, its preferences.
  • 28. Using the activity of users in social networks in bad weather for sales growth
  • 29. Market in Russia and CIS Country Revenue 2014, bln* Losses from weather 0,2-1% Share of project, 1% from losses Russia $680 $1,36-6,8 bln $13-68 mln Ukraine $36,6 $73,2-366 mln $0,73-3,66 mln Kazakhstan $32,4 $64,8-324 mln $0,65-3,24 mln Byelorussia $21,6 $43,2-216 mln $0,43-2,16 mln Azerbaijan $21,1 $42,2-211 mln $0,42-2,1 mln Georgia $10 $20-100 mln $0,2-1 mln Total $801,7 $1,6-8 bln $16-80 mln
  • 30. Global opportunities The project can operate in global markets, where there is the presence of the partner – Earth Networks: USA; Africa; Australia; Brazil; India; Southeast Asia; In the short term - Western and Eastern Europe
  • 31. Forecast for global Connected car market in 2018 - € 40 billion! Forecast dangerous weather with visualization - a promising trend in information services for transport. Forecast of the project - up to 0.45% of the market in Russia and CIS - $ 4.5 million. Russia's share near € 1 billion, the CIS countries - € 200 million