Intelligent Vehicle Tyre and Fuel Status Monitoring Solution for Fleet Operations

Abstract

The present invention discloses an Intelligent Vehicle Tyre and Fuel Status Monitoring System (100) that leverages integrated sensors, a microcontroller, and cloud-based data processing for fleet operations. The system (100) includes a registration module (201) to register fleet managers and vehicles using a Fleet Management Application (202) and a microcontroller (102) with a processor (103). Tyre sensors (106) monitor tyre pressure and temperature, while fuel sensors (107, 108) track fuel levels and detect refueling events. Sensor data is collected, processed, and transmitted to a cloud database (101) using communication modules, including a Wi-Fi module (113) and a 4G transceiver (109). The cloud database (101) stores the data for real-time visualization and historical analysis through a web-based interface. The system (100) triggers alerts for threshold breaches, such as low tyre pressure or unauthorized fuel removal, and notifies users via the Fleet Management Application (202) or an LCD Display (111). Additionally, the system (100) enables role-based access for fleet managers and drivers, allowing operations such as setting thresholds, viewing reports, and managing alerts. A feedback module integrated into the Fleet Management Application (202) collects user suggestions for system improvement, which the administrator can review using the LCD Display (111). The invention combines IoT, cloud computing, and predictive analytics to enhance vehicle safety, operational efficiency, and fleet management transparency

Specification

Description:The suggested mode of one depiction of the current research is covered in the writing that follows
[31] Cloud Database (101): The cloud database is the backbone of the system, responsible for securely storing all the data collected from the sensors. It provides scalability, ensuring that even large fleets with extensive data requirements can be managed efficiently. The database also supports real-time access, enabling users to monitor vehicle status from anywhere. By integrating with web-based applications, the cloud database facilitates data visualization and analysis, offering actionable insights to fleet operators. Advanced security measures protect the data from breaches, ensuring privacy and compliance with industry standards.
[32] Tyre Sensors (106): The project employs four tyre sensors per vehicle to monitor critical parameters like tyre pressure and temperature. These sensors help maintain optimal tyre conditions, improving safety and reducing risks of accidents caused by under-inflation. Regular data collection from the sensors allows for proactive maintenance, extending tyre life and reducing long-term costs. Integrated with the microcontroller, these sensors relay data to the cloud for detailed analysis. Alerts are triggered if pressure levels drop below set thresholds, ensuring immediate corrective actions.
[33] Fuel Sensors (107, 108): Dual fuel sensors measure the amount of fuel in the tank and detect any changes during refueling or unauthorized fuel removal. This is particularly useful for fleet management, as it prevents fuel theft and provides accurate records of fuel consumption. The system can detect discrepancies between reported and actual fuel levels, improving transparency. Data from the sensors is uploaded to the cloud and displayed on the user interface, enabling real-time monitoring. Alerts for irregular fuel usage help address potential issues quickly.
[34] Power Supply (104): A reliable power supply unit ensures the seamless operation of the entire system. It provides a stable energy source for sensors, microcontrollers, processors, and communication modules. Designed to handle varying power demands, the power supply is robust enough for long-term use in harsh vehicle environments. Integration with the vehicle's power system ensures that the sensors and controllers remain operational while the vehicle is running. The consistent power supply guarantees data transmission without interruptions, improving overall system reliability.
[35] Backup Battery (105): A backup battery complements the main power supply to ensure uninterrupted operation in the event of power loss. This is crucial for maintaining continuous data collection and transmission, especially during critical vehicle operations. The battery is designed to activate automatically when the primary power supply fails, ensuring that no data is lost. Its compact design fits seamlessly into the vehicle's system, providing redundancy and reliability.
[36] Microcontroller (102): The microcontroller acts as the central processing unit for the entire system. It collects raw data from the tyre and fuel sensors and processes it for transmission to the cloud. This device ensures that data is formatted correctly and sent in real time, reducing latency. By acting as an intermediary between sensors and the cloud, the microcontroller enhances the system's responsiveness. It also supports additional functionalities like running diagnostics and controlling local displays.
[37] Processor (103): The processor works in conjunction with the microcontroller to handle complex data processing tasks. While the microcontroller focuses on data collection, the processor ensures that the information is analyzed locally for quicker insights. This division of labor enhances the system's overall efficiency. The processor is optimized for high-speed operations, enabling it to handle large volumes of data from multiple sensors simultaneously. Its role is critical in ensuring the accuracy and timeliness of the data sent to the cloud.
[38] 4G Transceiver (109): This module enables seamless data communication between the vehicle and the cloud. The 4G transceiver ensures high-speed data transmission, supporting real-time updates and alerts. It provides a reliable connection even in remote areas, making it ideal for fleet operations that span across different locations. The transceiver also allows for two-way communication, enabling commands to be sent from the cloud to the vehicle, such as resetting alerts or updating system configurations.
[39] Wi-Fi Module (113): In addition to the 4G transceiver, the Wi-Fi module provides an alternative communication method. It connects the system to local networks, allowing data to be uploaded to the cloud when a 4G connection is unavailable or unnecessary. The Wi-Fi module also enables direct communication with smart devices, facilitating remote access and control. This dual connectivity ensures redundancy and flexibility in data transmission.
[40] LCD Display (111): A built-in LCD display provides instant feedback to users about vehicle status. It displays critical information such as tyre pressure, fuel levels, and alerts, enabling quick decisions without accessing the web interface. The display is designed to be user-friendly, with a simple interface that shows data in an easily understandable format.
[41] Relay Module (110): The relay module acts as a switch that controls various vehicle components based on system commands. For example, it can enable or disable specific features, such as alerting systems or auxiliary devices. The relay integrates seamlessly with the microcontroller, responding to its signals to ensure proper operation. This module enhances the system's functionality by providing controlled actuation for connected components, ensuring operational safety and efficiency. Its role is crucial in enabling real-time responses based on predefined thresholds or user commands.
[42] RFID Reader (112): The RFID reader is included to support secure vehicle identification and fleet management. It ensures that only authorized users can interact with the system or access specific features. By reading RFID tags associated with each vehicle or driver, the system enhances accountability and security. This feature is particularly valuable for large fleets, where accurate tracking of vehicles and drivers is essential. Data from the RFID reader can also be used to link vehicle activity to specific users, improving transparency and operational oversight.
[43] Storage Medium (114): The system includes a local storage medium that temporarily holds data collected from sensors before transmission to the cloud. This is particularly useful in areas with limited connectivity, ensuring no data is lost. The storage medium acts as a buffer, maintaining continuity of operations. Its design allows for efficient data retrieval and transmission once connectivity is restored. The storage capacity is optimized to handle large datasets without requiring frequent maintenance.
[44] Fleet Registration (201): The system begins with fleet registration, where all vehicle details are uploaded to the application. This step ensures that each vehicle's data is accurately associated with its corresponding sensors and components. The registration process supports detailed records, including vehicle specifications, sensor configurations, and ownership information. This foundation enables effective tracking and management of fleet operations.
[45] Sensor Data Collection (203): Data from tyre and fuel sensors is collected through a 2.4 GHz transceiver and uploaded to the cloud. This real-time data collection ensures that fleet managers have access to accurate and up-to-date information. The process is automated, eliminating the need for manual intervention. The collected data is analyzed for patterns and anomalies, providing valuable insights for maintenance and optimization.
[46] Data Visualization (204): The cloud platform processes sensor data and displays it through a user-friendly web interface. Fleet operators can view real-time tyre pressure, fuel levels, and alerts on a centralized dashboard. The interface supports custom reports and analytics, enabling users to make informed decisions. Graphical representations make it easier to identify trends and address potential issues proactively.
[47] Alerts and Notifications: Alerts are triggered when thresholds, such as low tyre pressure or unusual fuel consumption, are breached. These notifications are sent via the web interface or directly to mobile devices. The alert system helps users respond quickly to critical situations, reducing risks and minimizing downtime. It ensures that potential problems are addressed before they escalate into significant issues.
[48] Smart Device Control (205): The system can send control signals to smart devices, allowing users to remotely adjust settings or activate specific features. For instance, it can be used to enable or disable alerts, reset sensors, or configure thresholds. This capability enhances the system's versatility, allowing it to adapt to changing operational needs.
[49] Predictive Maintenance: By analyzing historical sensor data, the system can predict potential issues before they occur. For example, it can identify patterns indicating tyre wear or fuel system inefficiencies. These insights allow fleet operators to schedule maintenance proactively, reducing unexpected downtime and costs. Predictive maintenance is a key advantage of integrating IoT and cloud technologies.
[50] Comprehensive Fleet Management: The system is designed to provide an all-encompassing solution for fleet operations. From monitoring tyre and fuel status to enabling smart device control, it addresses key challenges faced by fleet managers. By automating data collection and analysis, it improves operational transparency and efficiency. The integration of real-time monitoring, alerts, and predictive maintenance makes this solution a powerful tool for modern fleet management.
, Claims:Claim 1 (Independent Claim)
An intelligent vehicle monitoring system (100) comprising:
a processor (103) on a controller (102);
a plurality of sensors, including tyre sensors (106) configured to monitor tyre pressure and temperature, and fuel sensors (107, 108) configured to detect fuel levels and refueling events;
a cloud database (101) for storing sensor data;
a communication module (109, 113) for transmitting sensor data to the cloud database (101) and receiving control commands;
a Fleet Management Application (202) configured to visualize real-time data, generate alerts, and manage fleet operations;
wherein the system (100) triggers alerts based on predefined thresholds and allows role-based access for registered users and administrators.
Claim 2 (Dependent Claim)
The system (100) as claimed in Claim 1, wherein the cloud database (101) is configured to store historical data and generate reports on tyre and fuel performance.
Claim 3 (Dependent Claim)
The system (100) as claimed in Claim 1, wherein the communication module (113) comprises a Wi-Fi module for local connectivity and a 4G transceiver (109) for real-time cloud synchronization.
Claim 4 (Dependent Claim)
The system (100) as claimed in Claim 1, wherein the tyre sensors (106) and fuel sensors (107, 108) transmit data to the controller (102) in real-time for threshold-based analysis.
Claim 5 (Dependent Claim)
The system (100) as claimed in Claim 1, wherein the Fleet Management Application (202) includes a feedback module to collect user suggestions for system improvement.
Claim 6 (Dependent Claim)
The system (100) as claimed in Claim 1, wherein alerts are displayed on an LCD screen (111) and sent via the Fleet Management Application (202) to notify users of threshold breaches.
Claim 7 (Dependent Claim)
The system (100) as claimed in Claim 1, wherein registered users can perform operations such as adding, modifying, or viewing vehicle data stored in the cloud database (101).
Claim 8 (Dependent Claim)
The system (100) as claimed in Claim 1, wherein role-based access includes user permissions for controlling thresholds, accessing logs, and enabling or disabling sensors.
Claim 9 (Dependent Claim)
The system (100) as claimed in Claim 1, wherein predictive maintenance is enabled by analyzing historical sensor data stored in the cloud database (101).
Claim 10 (Dependent Claim)
The system (100) as claimed in Claim 1, wherein the feedback provided by users is processed and displayed for administrators through the Fleet Management Application (202) or LCD screen (111).

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