Construction of Green Buildings by Using AI in the Civil Engineering Field - II

Abstract

A branch of computer science called Artificial intelligence (AI) deals with studying, creating, and using intelligent machines. This includes the description of recently developed ideas and methods for the development and implementation of AI in civil engineering and also gives an overview of the field’s advancement. The tremendous development and advancement in big data, deep learning, and machine learning technologies, have been used effectively and successfully in various civil engineering sectors. The important areas of artificial intelligence research in civil engineering include structural management and maintenance, as well as design optimization. Data collection, sustainability assessment, and productivity are just a few advantages and prospects that the use of AI in civil engineering offers to civil engineers. With digital technology, the construction trend has now been transformed into one that emphasizes sustainability. Using of computers in civil engineering is primarily focused on numerical, algorithmic calculations, which is inappropriate for solving the empirical and poorly structured problems that arise in actual practice and are instead handled by expert systems and artificial intelligence.

Introduction

I. INTRODUCTION

Green buildings prioritize sustainability through environmentally responsible practices in construction and operation, aiming to minimize environmental impact by efficiently using energy, water, and eco-friendly materials. They take a holistic approach, considering the entire life cycle from design to deconstruction. These buildings enhance occupant well-being by improving indoor air quality, natural light, and overall comfort. Additionally, they promote environmental responsibility by reducing carbon footprints, employing eco-friendly technologies, and contributing to a sustainable future.

Artificial Intelligence (AI) mimics human intelligence by analyzing vast amounts of data and learning from it to perform tasks. It excels in problem-solving and decision-making based on patterns and insights, with versatile applications across various domains such as virtual assistants, autonomous vehicles, and medical diagnostics. AI is continuously evolving, and adapting to technological advancements.

Combining green building principles with AI introduces optimized designs, smart energy management, and predictive maintenance. AI analyzes data to create energy-efficient and sustainable building designs, monitors and adjusts energy usage in real-time, and anticipates maintenance issues to reduce downtime and ensure long-term sustainability. Moreover, AI enhances indoor environmental quality for occupant well-being, streamlines waste management to promote recycling and sustainability, and integrates with smart grids for efficient energy distribution and consumption. This integration of green building practices with AI technologies represents a significant step towards achieving sustainable, environmentally conscious infrastructure

1. What is AI in Smart Irrigation?

AI in smart irrigation revolutionizes traditional irrigation practices by employing advanced technologies like machine learning and data analytics to optimize water usage in agriculture. These systems utilize various sensors to collect data on soil moisture levels, weather conditions, crop characteristics, and other relevant factors. By analyzing this data, AI algorithms can determine precise irrigation schedules tailored to the specific needs of crops, ensuring optimal water distribution and conservation.

Furthermore, AI-powered smart irrigation systems can adjust watering patterns in real-time based on changing environmental conditions, such as temperature fluctuations or rainfall forecasts. This adaptability not only maximizes crop yield but also minimizes water wastage, contributing to sustainability efforts and cost savings for farmers. Additionally, by integrating with weather forecasting models and historical data, AI-driven smart irrigation systems can provide insights and recommendations to farmers, empowering them to make informed decisions regarding irrigation management. Overall, AI in smart irrigation represents a significant advancement in agricultural technology, promoting efficient water usage, increased productivity, and environmental stewardship.

2. Use of AI in Smart Irrigation

a. Predictive Analytics: AI analyzes weather forecasts and soil moisture data to predict irrigation needs accurately.

b. Optimization algorithms: AI optimizes watering schedules based on plant type, soil conditions, and weather patterns to minimize water waste.

c. Remote Monitoring: AI-enabled sensors remotely monitor soil moisture levels and plant health, allowing for real-time adjustments to irrigation systems.

d. Adaptive Control: AI adjusts irrigation parameters dynamically in response to changing environmental conditions to ensure efficient water usage.

e. Precision Irrigation: AI delivers water precisely where and when it's needed, reducing water consumption while maintaining plant health.

f. Data-driven Insights: AI processes large datasets to provide actionable insights for farmers, optimizing irrigation practices and resource allocation.

3. Result of AI in Smart Irrigation

The result of AI in smart irrigation systems is a revolutionized approach to water management in agriculture, landscaping, and urban green spaces. By integrating AI algorithms with sensors, weather forecasts, and soil moisture data, smart irrigation systems optimize water usage with precision and efficiency. AI enables these systems to analyze environmental conditions in real time, adjusting watering schedules and amounts accordingly to ensure optimal plant health while minimizing water wastage. This results in significant water savings, reduced costs, and improved crop yields or landscape health. Additionally, AI-driven smart irrigation systems contribute to sustainability efforts by promoting water conservation and environmental stewardship in agricultural and urban settings.

Conclusion

Underscores the significant advantages of integrating artificial intelligence (AI) into green building construction. AI technologies offer a multifaceted approach to optimizing energy efficiency, seamlessly integrating renewable energy sources, efficiently managing resources, and enabling predictive maintenance. These advancements hold immense promise in enhancing sustainability and minimizing environmental impact in construction projects. By adopting a holistic and intelligent approach, AI facilitates the development of environmentally friendly buildings that prioritize human well-being, thus paving the way for a more sustainable future in the construction industry. In summary, the incorporation of AI in green building construction represents a transformative shift towards more efficient and eco-conscious practices. By harnessing AI\'s capabilities, construction projects can achieve heightened levels of sustainability while simultaneously promoting human comfort and health within built environments. This synergy between technology and environmental stewardship holds the potential to revolutionize the construction industry, leading to the creation of greener, smarter, and more resilient buildings for generations to come.

References

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Copyright

Copyright © 2024 Kendre Sainath Kendre, Mane Akanksha Anant, Mandhare Ganesh Sanjay, Jadhav Tejas Naresh, Achalere Baburao Shivanand, Prof. Geetanjali S. Yadav. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.