Інформаційні технології

Kotkovets Leonid

Head of the Technical Supervision Department

Kyiv

https://www.doi.org/10.25313/2524-2695-2024-12-08-18

DEVELOPMENT AND IMPLEMENTATION OF A “SMART HOME” SYSTEM FOR A MODERN RESIDENTIAL COMPLEX

Summary. Development and Implementation of a “Smart Home” System for a Residential Complex as Part of the Ecosystem and Infrastructure of a Smart Urban District in a Modern City; Application of Artificial Intelligence and Artificial Neural Networks in Design Engineering.

Key words: Smart Home, Development of a Smart Home System, Implementation of a Smart Home System, Residential Complex, Ecosystem of a Smart Urban District, Application of Artificial Intelligence in Design Engineering, Use of Artificial Neural Network Elements in Design Engineering, Comprehensive Transformation of Outdated Spaces, Definitions and Standards for Spaces with Startup Ecosystem Capabilities, Techniques and Methods for Achieving the Ideal Final Result.

Abstract. The author of this publication, in the process of performing and supervising a comprehensive set of design works for the transformation of an outdated space with an obsolete ecosystem and infrastructure, has developed a fundamentally new space. This transformation aligns with the requirements and standards for spaces capable of optimizing all workflows while incorporating methods and parameters suited for startup ecosystem environments. Such spaces are designed to enable efficient collaboration, where connections between subsystems within the supersystem are facilitated through channels integrated with elements of artificial intelligence and artificial neural networks.

Furthermore, the suite of design solutions, including architectural and artistic elements, establishes comprehensive visual stabilizers for psychological well-being in the workplace. Within the startup ecosystem, these stabilizers evolve into ecosystemic and infrastructural instruments, enhancing psychological stability and productivity. This environment is optimized for brainstorming effectiveness, supporting the application of 40 primary and 10 supplementary methods and techniques to achieve an ideal final result.

Purpose. In this publication, the author presents the results of supervising and performing a comprehensive set of design works aimed at transforming an outdated space with legacy ecosystems and infrastructure into a fundamentally new environment. This transformation meets modern requirements and standards for spaces designed to optimize workflows. Additionally, it integrates practical methodologies and parameters aligned with the definitions and standards of spaces featuring startup ecosystem capabilities. These capabilities ensure that connections between subsystems within the supersystem are facilitated through channels incorporating elements of artificial intelligence and artificial neural networks.

Introduction. In addition, a comprehensive set of design solutions, including architectural and artistic elements, establishes the necessary visual stabilizers of psychological climate in the workspace. Within a startup ecosystem, these stabilizers evolve into ecosystem and infrastructure-based tools that enhance team efficiency and focus during brainstorming sessions. This design approach integrates 40 core and 10 additional methods for achieving the ideal final outcome.

Smart home technologies represent a priority in the evolution of the construction industry. However, their development and implementation are deeply influenced by the broader conditions of urban infrastructure within modern cities. The complexity of integrating smart home systems increases significantly when construction occurs in historical districts. In such cases, the challenge lies not only in developing new intelligent facilities but also in modifying and restoring adjacent older districts.

These conditions demand a highly creative and innovative approach to the comprehensive engineering design of smart construction projects. This includes a variety of combined solutions, each aligned with essential construction standards while also incorporating elements of artificial intelligence (AI) and artificial neural networks (ANNs).

Despite the challenges, there are positive examples of successful implementation of smart home projects. These solutions serve as benchmarks for new initiatives, offering models for achieving the ideal final outcome as outlined by the Theory of Inventive Problem Solving (TRIZ).

As an example, the author of this publication emphasizes the unique experience and achievements of Bogdan Vytiv, a distinguished engineer and innovator. A Corresponding Member of the Ukrainian Academy of Sciences, the International United Academy of Sciences, and the New York Academy of Sciences, Vytiv’s systemic approach is utilized in the training of engineering specialists in smart construction.

Brief Overview of Highlighted Projects:

1. Project: Development and implementation of a “smart home” system for the residential complex Smart Home (2020–2021)
   • Technologies: Integration of IoT (Internet of Things), remote control systems for lighting, climate, and security.
   • Innovations: Adoption of energy-efficient solutions and AI-based automation for home functions.
   • Partners: Guver Investment Fund, developer BK Center Stroy.
   • Results: A 25% reduction in energy consumption, enhanced resident comfort, and improved security.
2. Project: Creation of eco-friendly buildings with autonomous energy systems (2019–ongoing)
   • Technologies: Solar panels, energy management systems, and autonomous water supply.
   • Innovations: Integration of combined solutions for home autonomy, significantly reducing reliance on external networks.
   • Partners: Guver Investment Fund, BK Center Stroy, EcoBud LLC, Green Energy Solutions.
   • Location: Hodosiyivka, Kyiv Region (ongoing construction).
   • Results: 80% home autonomy, reduction in CO2 emissions, and minimized operating costs.
3. Project: Reconstruction of multi-story residential buildings with integrated smart home systems in Kyiv (2021–2023)
   • Technologies: Lighting and climate control systems, automated ventilation, real-time building condition monitoring.
   • Innovations: AI-based predictive maintenance and enhanced energy management capabilities.

These projects exemplify the successful implementation of innovative smart home technologies, demonstrating the transformative potential of AI and ANN integration in construction. They set a standard for the future of sustainable and intelligent urban development the use of innovative materials and sensor systems for monitoring the condition of building structures. Partners: Guver Investment Fund, BK Center Stroy LLCLocation: Kyiv, Solomensky District Results: Improved quality of life for residents, reduced building energy consumption by 30%.

4. Project: Modernization of a commercial business center with the integration of “smart home” technologies (2022–2024)

Technologies: Video surveillance systems, smart access control, automated energy consumption and climate management. Innovations: Integration of cloud services for building monitoring and management via mobile applications.Partners: Guver Investment Fund, BK Center Stroy developer. Results: 20% reduction in heating and electricity costs, increased building security.

In contemporary conditions, when organizing production spaces for startups developing new smart technologies, there is a growing need to create a specialized ecosystem that accounts for the features and requirements of the super-system of smart technologies. One of the subsystems of this ecosystem involves elements of contactless control and their processors, which in turn contain elements of artificial intelligence and artificial neural networks.

This field is relatively new, and a significant contribution to its development has been made by Bogdan Vytiv through his original inventions, fundamental publications, and books.

In his developments, Bogdan Vytiv has brilliantly combined ideas for preparing and optimizing the interior of production spaces with designs for parts of the infrastructure of a smart production complex, incorporating the latest technological solutions to increase the performance of electronic systems, ensuring compatibility with quantum computers and their processor equivalents expected to be introduced to the market.

As the complexity of innovative projects grows, automated design methods and systems are becoming increasingly important. Their significance is greatly enhanced when elements of artificial intelligence are integrated, fundamentally altering conventional automated design methods and systems.

For example, Google has introduced a new quantum computing chip, Willow, which, according to the company, can solve a computational problem in five minutes that would take traditional supercomputers thousands of years to complete. This breakthrough represents the cutting-edge progress in quantum computing and smart technology, directly impacting the design and optimization of future smart buildings and urban infrastructure.

These advancements highlight the profound impact of AI, quantum computing, and smart technologies on construction and urban development, presenting new opportunities for integrating these technologies into building systems, from residential complexes to commercial hubs the fastest modern conventional computer would take an inconceivable amount of time—10 septillion (10 followed by 24 zeros) years—to solve the computational problem that Google’s new quantum computing chip, Willow, can solve in just five minutes. According to Hartmut Neven, the founder and head of Google’s Quantum Lab, this supports the idea that “quantum computing occurs in many parallel universes.”

However, the revolutionary nature of this breakthrough lies not in its data processing speed, but in the fact that developers have overcome a key problem with quantum computers.

Quantum computers leverage phenomena from quantum mechanics—quantum superposition and quantum entanglement. They don’t operate on bits, which can only be 0 or 1, but on qubits (quantum bits), which can represent both 0 and 1 simultaneously. This exponentially increases the capacity for data processing and transmission, but it also introduces many errors. The more qubits used, the higher the frequency of errors. For nearly 30 years, scientists have been grappling with this issue.

The result is Willow, where recent “breakthrough” advancements have allowed developers to achieve an exponential reduction in error rates. Google claims that Willow is the first system to demonstrate results below threshold levels, paving the way for practical, large-scale quantum computers.

According to Neven, the new chip will be used in some practical applications, but details have not been disclosed. Experts, however, note that Willow remains largely an experimental device. It will take many years before quantum computers can be used in real-world applications, and this will require enormous investments.

A Technical System (TS) is defined as an artificially created material unity. The concept of TS allows us to formulate the fundamental feature of a technical solution. The creation of modern communication systems and the latest computing equipment requires constant tightening of the requirements for the cleanliness of the manufacturing process.

Scientific and technical information increasingly focuses on these processes, often at the expense of other equally important directions in the development of microelectronics and complex production technologies. This focus may be partially explained by the desire (and not without self-interest) to make the production process conform to established and existing environmental protection standards while achieving lower costs. Many believe that the costs of environmental protection reduce production efficiency and increase the cost of products and services.

However, there are certain minimum cleaning parameters or levels of cleanliness in the production process below which quality becomes uncontrollable, and this immediately impacts the quality of the manufactured products.

The usual method for ensuring minimal quality and cleanliness standards is continuous improvement in the composition and components of chemical reagents, which are increasingly used and intensify the cleaning processes as they are refined. This problem is particularly pressing in the food industry, where the costs of preparing water for food production and regenerating wastewater are rising rapidly, further driving up food prices.

These issues can be listed for a long time, so the author proposes focusing directly on the topic of this publication.

Innovation Strategy in Semiconductor Cleaning. Let’s consider the process of developing a production module for cleaning 300mm semiconductor wafers. In this context, the question arises: Is it more practical to continue improving surfactants and chemical detergents, or should we explore innovative solutions to address these challenges?

The ongoing challenge of improving cleaning processes and chemical agents in production environments requires a thorough examination of new methodologies and potential breakthroughs. This process, while essential for maintaining high standards in the tech and semiconductor industries, also invites the opportunity to question whether traditional approaches are the best path forward or if innovative, less conventional solutions could offer better results in the long term.

It is indeed challenging to determine whether the process of modifying chemical reagents used in cleaning technologies constitutes an equivalent of an innovative process, or whether these modifications, while solving one problem, simultaneously create multiple new issues elsewhere, according to the criteria of achieving the ideal final result.

The analysis would be incomplete without considering the standard process of developing a new technical solution in a startup, which is integrated into a technical system of a higher compositional and layout level. We must examine how the modified formulations and definitions of technical systems at all levels correspond to the original formulations and definitions. This comparison is essential, especially when influenced by external factors related to the presence of various types and formats of visual stabilizers of the psychological climate in production and warehouse environments, as proposed by the author of this publication.

In such innovative systems, where new solutions are being applied, particularly in complex and evolving environments, it’s critical to consider how external elements, such as visual stabilizers, impact the overall system. These stabilizers play a key role in creating a positive psychological climate that enhances productivity, creativity, and overall effectiveness in startup ecosystems, which are often under pressure to rapidly adapt to new technological solutions.

By understanding these interactions, we can evaluate the balance between technological advancements and their impact on the workspace environment, ensuring that modifications or innovations do not just address one problem but contribute to the larger goal of optimizing the entire technical system.

Fig. 0-1

The figure illustrates a comprehensive combined infrastructure stabilizer for all aspects of the psychological climate in production and warehouse environments. The stabilizing effect in the shown corridor occurs at the entrance to the working space where a team of developers is working. It is the efforts of this team that drive the development process of the production module for cleaning semiconductor wafers with a diameter of 300 millimeters.
The setup of the project team is based on the requirements and characteristics, which are classified as interconnected formats of smart technologies.

As innovation projects become more complex, the significance of automated design methods and systems grows. However, their importance is significantly enhanced when artificial intelligence elements are added, fundamentally changing the automated methods and systems familiar to specialists.
Only with the application of these elements can one complete an innovation project within acceptable costs and optimal time, while considering the heuristic elements that emerge during brainstorming sessions.

Upon reviewing the basic definitions and meanings of TRIZ (Theory of Inventive Problem Solving) and ARIZ (Algorithm of Inventive Problem Solving), with consideration for the modifications and optimizations proposed and derived by the author of this publication for practical application in the design processes within the framework of an innovation project, the following definitions can be used:

1. Systems approach is a reflection and development of the dialectical principles of “universal interconnection” and “development” and is, in essence, one of the principles of the dialectical method of knowledge. The methodology of the systems approach involves representing any object as a system and considering it comprehensively. Modern methods and capabilities of computer modeling fundamentally change and significantly complement the concept of the systems approach, making it more meaningful and effective.
   The environment design proposed by the author, in addition to computer-aided design methods, constructs systems at all levels for parallel visual infrastructure stabilization of the psychological foundation of the work process.

This approach integrates both technological and environmental considerations, ensuring that the workplace environment, alongside technical advancements, contributes to the overall success of the innovation project, fostering a more effective and stable work climate.

System – a complex of elements that are systematically organized in space and time, interconnected with each other, forming a cohesive unity. A system is characterized by its composition of elements, structure, and performs a specific function. Here, computer control and monitoring systems, as well as various combinations of their control activities, significantly complement the concept of the system, making it more complete and adding analytical capabilities and characteristics. The interior design proposed by the author of this publication supplements these characteristics.

Elements – relatively indivisible parts of a whole; objects that, in combination, form a system. An element is considered indivisible within the context of maintaining a certain quality of the system. The process of innovative modification and optimization is most typical for elements, the result of which may lead to a technical solution that meets the four characteristics of an invention.

Structure – a consistent, stable connection between the elements of a system that reflects the form, arrangement of the elements, and the nature of their interaction, properties, and sides. Structure makes the system a qualitatively defined whole, distinct from the sum of the qualities of its constituent elements (since it implies the interaction of elements with one another in specific ways, through certain sides and properties, not as a whole).

Function – the external manifestation of the properties of an object (or element) within a given system of relations; a specific way in which the object interacts with the environment, its “capability.”

List of References, Patent and License Information:

Appendix 1

SMART ABSORBENT ARTICLE AND COMPONENTS

Abstract

A substrate suitable for incorporation into an absorbent article for automatic detection of wetness events therein, the substrate comprising a first surface capable of being arranged proximal to a body facing side of the absorbent article and a second surface opposite said first surface and capable of being arranged proximal to a garment facing side of said absorbent article, said substrate comprising a plurality of sensor tracks disposed on said first surface wherein said sensor tracks are in electrical communication with a clip-on data processing module when connected at a position proximal to a first end of the substrate such to form a closed electrical circuit, typically for measuring resistance, impedance and/or capacitance therethrough, wherein the substrate comprises one or more slits and an insulating layer placed over said first surface to sandwich said sensor tracks therebetween, and a pocket is formed between said first surface and said insulating layer proximal to at least said first end, said pocket being in fluid communication with said slit(s) and arranged to retain at least a portion of said clip-on data processing module therein.

Appendix 2

SMART ABSORBENT ARTICLE, COMPONENTS, AND PROCESS OF MAKING

Abstract

A substrate suitable for incorporation into an absorbent article for automatic detection of wetness events therein, the substrate comprising a first surface capable of being arranged proximal to a body facing side of the absorbent article and a second surface opposite said first surface and capable of being arranged proximal to a garment facing side of said absorbent article, said substrate comprising a plurality of sensor tracks disposed on said first surface and said sensor tracks comprising: at least one central track extending parallel to a length of the substrate and parallel to a longitudinal axis crossing a first end and a second end of the substrate; at least two side tracks extending parallel to the central track and oppositely arranged such that the central track extends therebetween; and wetness sensing tracks extending outboard of said two side tracks, wherein said central track, said side tracks, and said wetness sensing tracks are in electrical communication via one or more shortening elements positioned proximal to said second end and distal from said first end, and wherein the substrate is connectable to a clip-on data processing module at a position proximal to said first end and distal from said shortening elements such to form a closed electrical circuit, typically for measuring resistance and/or capacitance therethrough. In an embodiment said substrate consists of a liquid impermeable back -sheet, preferably a breathable liquid impermeable back -sheet.

Appendix 3

METHODS AND SYSTEM FOR MANAGING INTELLECTUAL PROPERTY USING A BLOCKCHAIN

Abstract

A system and methods for managing intellectual property using a blockchain are provided which may include one or more elements which forms a comprehensive foundation for an eco-system for innovation and intellectual property management. The elements may include: an intellectual property distributed ledger, an intellectual property digital policy server, non-binary trust models, automatic ontology induction, modifications to the blockchain “mining” and “proof of work” system, appstore for related applications, partial transparency trans – actionalized search engine, persistent and encapsulated software trust objects, licensing royalty smart contract with auditable payment tracking, micro-equity incentives, automated fraud detection intellectual property management dashboards, innovation workflow broker, innovation optimization tools, disruption mapping, and intelligent just-in-time learning. The system combines and integrates these functions to enable personal, intra-enterprise, inter-enterprise and extra-enterprise recordation, collaboration, searchability and its benefits, licensing and tracking of information regarding intellectual property over a networked distributed computing system.

Appendix 4

PROCESS DISCOVERY AND AUTOMATIC ROBOTIC SCRIPTS GENERATION FOR DISTRIBUTED COMPUTING RESOURCES

Abstract

Techniques for process discovery and automatic generation of robotic scripts for distributed computing resources are disclosed. In one embodiment, at least one automatable process step associated with an activity performed while interacting with at least one application may be determined. The at least one automatable process step may be segregated into multiple tasks based on parallel executable tasks and sequentially executable tasks. Different types of distributed computing resources may be determined to execute the multiple tasks based on the segregation. A modified process flow corresponding to the at least one automatable process step may be automatically generated based on the segregated multiple tasks and the different types of the distributed computing resources. Further, a robotic script based on the modified flow of the at least one automatable process step may be automatically generated. The robotic script may be executed to perform the activity.

Appendix 5

MODULAR ELECTRONIC VASE WITH AUTOMATED, DIGITAL CONTROL AND MONITORING SYSTEM, USED FOR AEROPONIC GROWTH OF PLANTS IN INNER AND OUTER ENVIRONMENTS

Abstract

The invention relates to a device for growing plants with aeroponics, in the form of a dismountable modular vase composed of superposed modules (4) linked by joining rings (2) and covered by a sealing lid (1) or (21). The modules have a plurality of mouthpieces (5) symmetrically distributed at angular positions, into which the accessories are introduced, such as the rooting basket (6), the micro-greenhouse (22), the seed capsule in the form of a foam cube for germination (23), the support disks (24), (26) or (27), the rod (28) and the grid (29). A tank in two parts (32) and (33) forms a base for the device and comprises an inspection and supply lid (7), a protective grid (8) an on/off switch (9), a connection (10) for the power cable, rollers (30), support legs (31) and an electronic panel (11) that displays information about the level of the nutrient solution, temperature, humidity, timer control and automatic actuation functions of the electric components and electronic circuits. The device actuating components are housed inside, together with the float (15) which stores a mini-generator (16) of nutrient solution nanoparticles, a ventilation pump (17) with an air hose (18), a silencing capsule (19) and a ruler (20) with level sensors.

Appendix 6

CONTROLLABLE POWER AND LIGHTING SYSTEM

Abstract

There is provided herein controllable power and lighting system. There is particularly provided a method for the arrangement and automatic control of one or more power consuming devices, including one or more light emitting diode (LED)-containing lighting devices, and optionally one or more non-LED based devices, wherein the devices are adapted to be powered by 3-phase AC power within the present systems.

Appendix 7

COMPUTER IMPLEMENTED METHODS AND SYSTEMS FOR GENERATING VIRTUAL BODY MODELS FOR GARMENT FIT VISUALISATION

Abstract

Methods for generating and sharing a virtual body model of a person, created with a small number of measurements and a single photograph, combined with one or more images of garments. The virtual body model represents a realistic representation of the users body and is used for visualizing photo-realistic fit visualizations of garments, hairstyles, make-up, and/or other accessories. The virtual garments are created from layers based on photographs of real garment from multiple angles. Furthermore the virtual body model is used in multiple embodiments of manual and automatic garment, make-up, and, hairstyle recommendations, such as, from channels, friends, and fashion entities. The virtual body model is sharable for, as example, visualization and comments on looks. Furthermore it is also used for enabling users to buy garments that fit other users, suitable for gifts or similar. The implementation can also be used in peer-to-peer online sales where garments can be bought with the knowledge that the seller has a similar body shape and size as the user.