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VIACHESLAV ZAKHAROV learning diary first part 2018

First part.
Lecture 3.
This lecture started in the Schneider Electric company. Schneider Electric, a global expert
in energy management and industrial automation, is a leading developer and supplier of
integrated energy-efficient solutions for energy and infrastructure, industrial enterprises, civil
and residential construction, and data centers. Global expert in energy management and
automation Schneider Electric is at the forefront of digital transformation in the fields of energy
management and automation for homes, buildings, data centers, infrastructure and industry.
The presence in more than 100 countries of the world allows Schneider Electric to be the
undisputed leader in energy management (low and medium voltage, uninterrupted power supply)
and automation systems. The number of personnel is 170 thousand people (2015). In 2008,
revenues in European countries, including Russia, were estimated at € 8.1 billion with an
increase of 6%, in North America - at € 5 billion, in the Asia-Pacific region - at € 3.4 billion, in
developing countries - in € 1.7 billion.
The company creates different intelligent solutions with cross platform approach – you
can use products with any device. It’s a result of Internet of Things using. Also one of the most
important points is a Big Data and Analytics. As requirements for fast application access and
application availability, data centers and IT environments are becoming increasingly critical,
hybrid, and distributed. Management is becoming increasingly complex, as operators must now
support multiple deployment sites, from local and cloud to local and borderline applications.
Managing and managing these vast and complex environments is holistic — a need to provide a
solution that provides visibility across a client's entire IT ecosystem — for benchmarking, trend
analysis, intelligent services, etc., while reducing risks and increasing efficiency.
When you combine the growing complexity and variety of critical data center
environments with a reduced budget and fewer employees, this is a recipe for trouble. The first
step in overcoming this problem is to adopt a cloud-based data center management strategy.
EcoStruxure IT is the first data management architecture as a service architecture on the market,
providing cloud-based architecture designed for hybrid IT and data centers. Supplier-agnostic
architecture provides a new standard for proactive understanding of critical assets that affect the
health and availability of the IT environment, with the ability to provide effective real-time
recommendations to optimize infrastructure performance and reduce risk. It is designed to
provide visibility and understanding of the open platform, which allows you to manage any
devices and sites at any time from any place.
Schneider Electric also tries decrease the size of products and use only electrical
components, because electricity usage is more efficient than other kinds of energy (we han an
example with comparison of combustion camera engine and electrical motor, electrical motor
five times smaller with the same power).
Lecture 4.
The first part of the lecture was about Intelligence for seniors. As speaker sad, intellige nce
is a knowing where to find that, what you don’t know. You can use your own experience and
knowledge, you can try to predict something, because you once you kept in touch with similar
For the successful solutions anyone should separate the task on four steps. First step is a
creation. You can create the area, which will be your own space of data. Second step is a collectio n.
After creation, you can collect data from different sources inside your data space. Third part is
analysis. If you collected the data and then do nothing with it, your data is a nothing. Analys is
allows to do conclusions for your next development and improvement. All data should be
presented in convenient form and also be understandable. The fourth and the last step is utiliz ing.
You just change your system due to analysis getting data and then repeat whole cycle. Than more
you communicate with consumers and customers and analyze the feedback, than better solutio ns
and results you can get.
Second part of the lecture was about “My own intelligent building”. Marko Nieminen told
us about his own experience in intelligent building creation. The first part of the project was the
buying of the new house. The “brain” of the intelligent building were one-plate computer
Raspberry Pi 3b. This platform has a lot of periphery and also a lot of computational resources.
For the control of electrical part of the house, the prototype, which consists of the Arduino uno
and relay module, was used. For the creation of it’s own electricity, solar panels were used. As a
consequence of big amount of sensors and wires, the fuse panel is necessary. All elements of DIY
intelligent building are possible to get, and they are cheaper than professional electronics. After
the data collection, the creator of this project has got a lot of graphs and other data, but almost all
of them, isn’t understandable for usual user. Moreover, the program code is horrible and huge. IoT
also is used in this project with Telegram bot. To sum up, the speaker sad, such project very cool
as a hobby, but not as a real automated unit for everyday using, still.
The third part of lecture was about startup of smart building. The tagline is “Less energy,
gives more”. The idea of smart buildings in the smart life of every participant. Smart schedule,
smart interface, feedback everywhere, collecting data, analysis and optimization. Online access to
all data for learning about condition of something. 3D modelling and virtualization for decreasing
the costs, you can recognize about something without real people and objects. Using of AI is also
very promisingly.
Lecture 5.
The first part of the lesson was in the TIETO company. It’s one of the biggest companies on
Scandinavian countries. It has around 1500 clients, serving customers in over 85 counties. The company
has turnover around 1.5 billions of euro. The concept of the company – “Human as a sensor”. The
company knows what cost of knowledge work consists of people salaries – 80%, energy – 1% and
premises, IT, other administration – 19%. They sure that, traditional building system must be
changed, because of the building system determines how spaces are used, engineers determine
how people should act, building automation preconfigured based on average values, all software
made for buildings, not for building users, maintenance and services business models does not
work. They created the “Empathic building”. This type has a lot of advantages in comparison with
the previous one: building users determine how spaces should be used, end-users decide where
they want to work (analogy of learning hubs in Aalto), all software is designed for people, all data
created for people and it’s easy to understand, services and data are collected from humans. This
kind of intelligent building allows to get high performance, better experience, better reputation.
The Empathic Building interface with collaboration with the whole system gives us: floor plan,
activity-based zones, information with icons, reports of utilization, availability of spaces and
resources, reports about issues, upvote reports, current status, feedback, heatmaps, overview,
feelings, collaborations, possibilities to find the college and collaborate with each other and a lot
of information about air quality.
To sum up, in was an example of advanced intelligent building.
The second part of the lecture was about Helvar company – one of the leaders of automatio n
market in Scandinavian countries. They work with sensors. Lighting control, HVAC, access
control, security – all these points are the professional specialization of the Helvar. Now these
parts work separately, but on of the trends is the collaboration with each other in the huge system.
The know elements of intelligence of the intelligent building: sensing, refining, interacting,
The main ambition of an intelligent building in the future is a cyclic work of six steps:
building efficiency, people service, safety and security, asset tracking, energy manageme nt,
wellbeing optimization. Helvar offers: color temperature control, controllable led lighting with
dali, better quality with hybrid dimming, safety extra low voltage rating, decorative lighting,
challenging conditions, active+ / activeahead luminaires. One of the best features of the Helvar is
an intelligent lighting. Such approach decreases the costs of energy and can increase time of
working of electrical light equipment. Intelligent lighting with their dimming technology provides
a wide range of color temperature adjustment at all dimming levels based on hybrid dimming
technology, that allows you to create the most comfortable and safe lighting.
Lecture 6.
First part of the lecture were about intelligent shopping center. The procedure for build ing
shopping centers differs from ordinary buildings that we have met in this course. The usual process
went through statistics and polls on how to move time through driving or public transport,
demographics, or income. However, nowadays traditional construction methods are no longer
used, and the focus is on the experience of working with clients and employees. Excellent feedback
from the speaker on how polls do not help to do intellectual work, was that the restaurant did a
survey to ask their customers what they should add to their menu; the answers were “vegetar ia n
and fish dishes”, but in fact customers will still drink beer and pizza. People are driven by feelings,
not by logic, relying on raw statistics will not lead to customer satisfaction. The behavior of people
does not match the estimates and projections.
Very important part of intelligent mall creation is a research of visits. It’s a statistics and
determination of most relevant and popular places for people.
Intelligent control can be at very unpredictable places. When you walking through the mall,
the good way to make shopping more comfortable is intelligent music. At the moment with slow
traffic the system can play high tempo music and at the moments with fast traffic, it can play
slower tempo music. At the different floors – different music. The same situation with volume.
With intelligent cameras we car evaluate the effect of intelligent music and see the people’s
reaction. Statistic of visits can help with advert creation. Also as in offices and other places,
intelligent lighting is very relevant to the mall. It helps to decrease electricity costs. With intellige nt
lighting we can control the light with the customers or visitors mood. The mood we can determine
with the traffic and behavior. Using the mobile payment we can decrease the queues and also
traffic. Also such intelligent solutions as: ventilation, keys, soap and other toilet stuff, trash
containers, elevators and escalators, cameras, parking are necessary for the intelligent mall.
Second part is about Autonomous Buildings. In the speakers opinion it consists of two
parts: background and research.
Background is a system which consists of huge database and this base every time updates.
Autonomous system as a minimum must be adaptive. It means we should have: frequently
updating of the timetables, dynamic setpoints, user feedback. Autonomous buildings can: define
your goal and let a computer find an optimal control for achieving it, find an universal plug and
play method, try to assess the higher performance.
For the advance optimization we can use predictions and neural networks with machine
learning. Fuzzy logic is also convenient, but it less intelligent.
With the evolution of the building we can transform the intelligent building, which requires
a little bit human’s control to autonomous building which can work without external control.
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