"Artificial Inteligence can growth your business profit"

Autonomous By Cybernetic

More Precise - More Efficiency

Steps


Let our experts design your system

Our software design team can meet every specific requirements specially to your needs accordingly to area conditions

Tech support chat

Online chat will boost dramatically installer partners and customers save installation process time

Plug and play

You receive complete assembly system parts, what remaining you to do is locate and connect components only.

Maintenance from any where

Connect to location system through active cloud management system

PC / Mac / Tablet / iOS / Android

Management, Monitoring and control friendly software to any device

Systems


Greenbot

Greenbot climate control, collect weather onditions for analysis and control acontrol accordingly irrigation systems, temperature, humidity, Co2, water quality and much more..

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Shadebot

Buildings and towers shading autonomic system

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Poolbot

Pool managment and maintenance system with auto-fixing feature Can monitoring water level, temperature, PH, salt and act..

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Solarbot

Photovoltaic panels cleaning robot for save maintenance cost..

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Features


Learning algorithm

Algorithm that learn user usage and auto-learning system will do that processing next time autonomicly for you

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Automatic fixing process

Auto fixing feature to save our time for press or open valve.

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Liquids sensing

PH, Salt level, water level, irrigation and chem control

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Control focusing

Control on any kind of blinds and shades motors, liquid and watering systems , robot cleaning control, lights control, E-valve control, covering control, pump control, thermo - motion, entry - security control

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Analysis chart

You can export easily history logs in any column.

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Manage thousands locations from your mobile

Can monitoring and control on your thousands customers easily from your mobile

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Autonomy works

Autonomous Blinds, light and AC will effect the optimal values for well being.

Weather sensing

Co2, temperature value, wind speed, rain level, dust parts, and relative humidity

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Manual override control

Heat up cool remotely before you get area.

Alarm notification

On / Off the alarm and received any wanted notifications

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Customized equity and formula

Easy up and down setpoint

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Sunset / sunrise control

Can slide set X time before sunset / sunrise what to do autonomicly

Entry / security guard

Entry and ways counting and logging

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Autonomic timer

Weekly schedule

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Real time cameras

Camera 24/7, can help you see your location at present and record history processing.

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Thermo / motion sensing

Sensing heating map and also can focus on moving objects via thermo sensor

Energy consumption

few seconds. No more studying manuals! Electric meter System calculates energy consumption based on either a virtual electric meter or using a dedicated hardware meter

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Light scenes

Multiple lights are combined into lighting scenes.

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Benefit


About


Introduction

Elpo solution is a class of control techniques that use various artificial intelligence computing approaches like neural networks, Bayesian probability, fuzzy logic, machine learning, reinforcement learning, evolutionary computation and genetic algorithms.

Intelligent control is a rapidly developing, complex and challenging field with great practical importance and potential.
Because of the rapidly developing and interdisciplinary nature of the subject, there are only a few edited volumes consisting of research papers on intelligent control systems but little is known and published about the fundamentals and the general know-how in designing, implementing and operating intelligent control systems.

Intelligent control system emerged from artificial intelligence and computer controlled systems as an interdisciplinary field.
Therefore Elpo summarizes the fundamentals of knowledge representation, reasoning, expert systems and real-time control systems and then discusses the design, implementation verification and operation of real-time expert systems using G2 as an example. Special tools and techniques applied in intelligent control are also described including qualitative modelling, Petri nets and fuzzy controllers.
The material is illlustrated with simple examples taken from the field of intelligent process control.


Artificial intelligence (AI) as a field of research and development emerged and developed in parallel with the
development of the theory of automatic control, starting around 50-th years, with the first major applications in
computing and information science, and later in automatic control1
. The first commercial and industrial applications
of AI belong to the 80-th years of the last century2
. During this period, AI has reached some level of stability and
maturity.

An important factor that can lead to a rethinking of today's achievements and make new ups of the theory and
practice of AI is the sharp increase in possibilities of computer technology, including hardware implementation of
logical and other means of AI.

The term "intellectual control system" refers to any combination of hardware and software, which is joined by
general information process, operating autonomously or in man-machine mode, and capable to synthesize the
control goal and to find rational ways to achieve the control goal (in the presence of motivation and knowledge
including information about the environment and its internal status)1,3. Today the capacity to synthesize the control
goal is realised by human-machine interaction, and the autonomous control systems capable only to find rational
ways to achieve the control goal are called as "intelligent control systems".
Currently, the science and practice of control retains a keen interest in the integration of classical methods of
automatic control with methods of AI and in AI applications in the field of control for complex weakly-formalized
objects and processes. In particular, when the information, system status, control criteria, and control goals change
over time and are fuzzy and sometimes contradictory.

The report considers a hierarchy of levels of intellectual control and a comparative analysis of different means of
AI. Due to the fact that the past decade has seen a rapid increase in the number of theoretical and applied research
in the field of fuzzy controllers, the main focus of the report is to review the major achievements in this area.
Though, unfortunately, even this field doesn't allow to make a complete review free from the authors’ predilections.

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