Description:FIELD OF THE INVENTION
The present invention, in general, relates to collecting data, more specifically collecting information for the road safety construction using IoT.

BACKGROUND OF THE INVENTION
The inventive system for monitoring road quality during construction is centered on IoT technology, aiming to uphold stringent quality standards. By integrating IoT devices onto road rollers, the system captures and transmits essential data, including voltage, precise geographic coordinates, and timestamps, to a centralized data pipeline. This real-time data acquisition offers dynamic insights into the construction process, enabling immediate identification of deviations from quality benchmarks. The inclusion of voltage data provides a nuanced perspective for a holistic evaluation. With a centralized data pipeline, stakeholders gain timely access to accurate insights, facilitating a proactive response to ensure road quality compliance. In essence, this IoT-driven solution represents a significant advancement in construction technology, promising safer and more durable road infrastructure through continuous, real-time quality monitoring.

OBJECTIVES OF THE INVENTION
The 'IoT-Based Road Quality Monitoring and Analysis System' stands at the forefront of innovation in road construction quality control, leveraging the transformative capabilities of IoT technology. Its primary objective is to redefine the traditional approach to road construction, ensuring that roads are not merely built but are meticulously crafted to meet and exceed predetermined standards, guaranteeing heightened safety and longevity in transportation infrastructure.
At its core, this system integrates IoT devices onto road rollers, transforming them into intelligent data-collecting entities. In real-time, these devices capture a wealth of critical data, providing a dynamic and data-driven framework for monitoring the compaction process during road construction. This real-time data acquisition is a key feature, offering construction teams immediate insights into the evolving construction landscape
The system's analytical prowess comes to the forefront through its ability to quantify the frequency of compaction at various geographic coordinates along the road. This granular understanding enables construction teams to discern patterns and variations in the compaction process that traditional methods might overlook. By identifying areas with irregularities or deviations from desired standards, the system empowers construction teams to make timely adjustments and interventions.
The real-time insights provided by the system facilitate a proactive approach to road construction. Construction teams can respond promptly to emerging challenges, ensuring that corrective measures are implemented as needed. This agility in decision-making contributes to the creation of safer and more resilient road infrastructure.
In conclusion, the 'IoT-Based Road Quality Monitoring and Analysis System' is a paradigm-shifting solution in road construction quality control. By combining IoT technology with real-time data analysis, the system introduces a dynamic and proactive approach to monitor the compaction process. It represents a significant advancement in construction practices, enhancing effectiveness and responsiveness, and ultimately contributing to the creation of safer and more enduring road infrastructure.

FIGURES :
Figure 1 : System Architecture
Figure 2 : Flow Chart of the workflow

SUMMARY OF THE INVENTION:
The invention involves a method for assessing road quality through the analysis of compaction data. The process is detailed as follows:
I. Retrieve coordinates reported by a roller assigned to a selected road.
II. Calculate the precise distance of each reported coordinate from the initial point of the road.
III. Identify extreme forward and backward movements of the roller by applying a delta, thereby determining significant movements.
IV. Truncate delta values to a specified unit, specifically meters.
V. Count the occurrences of each truncated delta, denoting the number of times the roller traverses’ significant distances.
VI. Calculate the average count of all truncated deltas within a defined chain length.
VII. Visually present the number of rollers passes for each distinct chain length of the road.

In one of the embodiments Sensors: Integrated into road rollers to collect real-time data,
Communication Module: Enables the transmission of collected data. In another embodiment Voltage: Measures the electrical characteristics, possibly reflecting the load or stress on the road roller. Geographic Coordinates (Latitude and Longitude): Indicates the location where the data is collected. Timestamps: Records the time when the data is collected. Wireless Connectivity: Enables real-time data transmission to a central server or cloud platform. Internet Connection: Facilitates remote monitoring and analysis. Data Storage: Stores the collected data securely. Data Processing: Analyzes data to derive meaningful insights. Visualization: Provides graphical representations and reports for easy interpretation. Alerts/Notifications: Notifies relevant stakeholders of critical issues or milestones.
Functionality:
a. Real-Time Monitoring:
The IoT devices continuously collect data during road construction.
b. Data Transmission:
Data, including voltage, geographic coordinates, and timestamps, is transmitted in real-time to the central server or cloud platform.
c. Data Storage and Processing:
The central server/cloud platform stores and processes the received data.
d. Analysis and Insights:

Algorithms analyze the data to assess road quality, compaction levels, and potential issues during construction.
e. Visualization:
Generated reports and visualizations help construction managers and engineers understand the road quality trends, identify problem areas, and make informed decisions.
f. Alerts and Notifications:
Automatic alerts are sent to relevant stakeholders in case of deviations from expected road quality standards or if any issues are detected.
g. Historical Data Tracking:
The system retains historical data, allowing for trend analysis and performance evaluation over time.
h. Integration with Construction Management Systems:
The system may integrate with broader construction management platforms to ensure seamless communication and coordination with other aspects of the construction project.
By implementing such a system, construction teams can enhance the efficiency of road construction projects, improve the quality of the constructed roads, and promptly address any issues that may arise during the construction process. Additionally, the system contributes to better resource allocation and overall project management.
Detailed Description:
The revolutionary "IoT-Based Road Quality Monitoring and Analysis System" represents a transformative stride in the domain of road construction and quality control. Meticulously crafted to address a critical imperative, the system endeavours to elevate road infrastructure to unprecedented levels of safety and durability, surpassing specified quality standards.

At the heart of this innovation lies the seamless integration of Internet of Things (IoT) devices with indispensable road construction equipment, with a primary focus on road rollers. These strategically positioned IoT devices continuously capture and transmit a wealth of crucial data. Voltage measurements, precise geographic coordinates (latitude and longitude), and timestamps are meticulously recorded at one-minute intervals. This real-time data acquisition forms the bedrock of the system's capability to monitor the compaction process with unparalleled precision during the course of road construction.

The methodology deployed by this cutting-edge system unfolds through a series of intricately designed steps. The process initiates with the calculation of the distance of each recorded geographic coordinate from a meticulously chosen starting point. Simultaneously, timestamps undergo a transformation into deltas, effectively capturing the time elapsed from the initial time frame. The system employs a discerning approach to identify unique data elements, eliminating redundancy and ensuring the highest level of accuracy in the dataset. Geo-coordinates are then systematically ordered based on their increasing distance from the starting point, facilitated by forward and backward pointers. These pointers play a pivotal role in quantifying the frequency with which each geo-coordinate is encountered during the road construction process. This comprehensive analysis equips construction teams with actionable insights, enabling them to identify areas that may necessitate additional compaction and, consequently, optimizing the overall construction process.

In essence, the "IoT-Based Road Quality Monitoring and Analysis System" introduces an innovative, data-driven paradigm to quality control in road construction. By affording construction teams real-time insights, it empowers them to make informed decisions in real-time, ensuring that road infrastructure not only meets but consistently exceeds the highest standards for safety and durability. This visionary invention is poised to revolutionize the road construction industry by minimizing the likelihood of road damage, enhancing road longevity, and augmenting overall transportation safety to new heights.
, Claims: 1. An apparatus for monitoring and analyzing road quality during construction, comprising:
a. Means for collecting real-time data, said means integrated into road rollers;
b. Means for transmitting said real-time data, said means configured to communicate with a central server or cloud platform;
c. Means for measuring voltage, said means configured to assess electrical characteristics related to the road roller's operation;
d. Means for determining geographic coordinates, said means configured to establish latitude and longitude information related to the location of the road roller; and
e. Means for recording timestamps, said means configured to provide temporal information associated with the collection of said real-time data
2. The system of Claim 1, wherein the real-time data is transmitted at one-minute intervals, allowing for precise monitoring of the compaction process.
3. A method for assessing road quality during construction, comprising the steps of calculating the distance of geo-coordinates from a designated starting point, converting coordinate timestamps into deltas from an initial time frame, and identifying unique data elements to eliminate redundancy.
4. The method of Claim 3, further including arranging geo-coordinates in increasing order of distance from the starting point using forward and backward pointers.
5. The method of Claim 4, wherein forward and backward pointers enable efficient navigation through the data, improving the system's ability to analyse the compaction process.
6. The method of Claim 4, wherein the forward and backward pointers are used to quantify the number of times each geo-coordinate is encountered during road construction, facilitating precise assessment of compaction frequency.
7. A computer program product for implementing the method of Claim 3, stored on a computer-readable medium, comprising instructions for carrying out the steps of data collection, distance calculation, timestamp conversion, uniqueness identification, and geo-coordinate arrangement.
8. The computer program product of Claim 7, further comprising instructions for using forward and backward pointers to quantify the frequency of geo-coordinate encounters, allowing for efficient and accurate analysis of road quality during construction.
9. A method for real-time road condition analysis utilizing roller data, comprising the following steps:
• Retrieving coordinates reported by a roller assigned to a selected road;
• Calculating the precise distance of each reported coordinate from the initial point of the road;
• Identifying extreme forward and backward movements of the roller through the application of a delta, thereby determining significant movements;
• Truncating delta values to a specified unit, specifically meters;
• Counting the occurrences of each truncated delta, denoting the number of times the roller traverses significant distances;
• Calculating the average count of all truncated deltas within a defined chain length;
and
• Visually presenting the number of rollers passes for each distinct chain length of the road.