Description:FIELD OF THE INVENTION
The present invention relates to a system for monitoring small-scale bridges using sensing technologies and the Internet of Things (IoT). Specifically, the invention integrates pressure, displacement, corrosion, and tilt sensors with a centralized controller and wireless communication to analyze structural parameters and detect defects in bridge components in real time.
BACKGROUND OF THE INVENTION
Small-scale bridges are critical for transportation but often lack regular monitoring, leading to potential safety risks due to undetected structural issues. There is a need for an affordable, real-time Internet of Things (IoT) solution to continuously monitor these bridges, ensuring timely detection of problems and enhancing public safety.
Bridges are essential infrastructure elements that require continuous monitoring to ensure structural integrity and safety. Traditionally, manual inspections and periodic maintenance checks are used to assess bridge conditions. However, these methods can be time-consuming, expensive, and prone to human error. Small-scale bridges, in particular, often lack continuous monitoring due to budget constraints and the absence of advanced inspection technologies.
With the advent of IoT and advanced sensing mechanisms, there is a growing need for an automated system capable of real-time bridge health monitoring. Existing monitoring solutions primarily focus on large-scale bridges and rely on complex and costly sensor networks. The proposed invention addresses this gap by providing an efficient, cost-effective, and automated monitoring system for small-scale bridges, ensuring proactive maintenance and reducing the risk of structural failures.
SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention.
The invention proposes an intelligent bridge monitoring system that utilizes a network of sensors to detect structural changes and assess bridge health. The system integrates pressure, displacement, corrosion, and tilt sensors to continuously measure critical parameters such as load distribution, material degradation, and structural stability. The collected sensor data is processed through a centralized controller, which applies predefined threshold values to evaluate the bridge's condition.
Pressure sensors are deployed to measure forces acting on key bridge components such as beams, trusses, and decks. These sensors help detect stress concentration areas, material fatigue, and early signs of structural degradation. Displacement sensors track movements, deflections, and vibrations in bridge elements. Sudden or excessive movement may indicate material fatigue or foundation instability, while long-term trends in displacement can signal shifting soil conditions or structural weakening.
Corrosion sensors are used to assess the material integrity of steel reinforcements and concrete structures. They detect rust formation and other corrosive processes that may compromise the durability of the bridge. Tilt sensors monitor angular shifts in bridge components, helping to identify foundation settlement, tilting, or sudden inclinations that could indicate potential structural failure.
The collected data is processed by a controller, which determines the overall health of the bridge based on predefined safety thresholds. If any parameter exceeds the critical limits, the controller triggers alerts and transmits real-time data via a LoRa wireless communication module to a cloud server. The maintenance authority can remotely access the data and take necessary actions to prevent further deterioration or failure.
This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying drawings.
In this invention, an approach is proposed for monitoring small-scale bridges using sensing technologies and the Internet of Things (IoT). In any bridge, pressure, displacement, corrosion, and tilt sensors are critical for monitoring, as they enable measurement and analysis of various structural parameters. The pressure sensor in the proposed system analyzes forces acting on different bridge components, such as beams, trusses, and decks. It helps identify whether the bridge is under stress, highlights areas vulnerable to fatigue, and detects signs of structural damage or material degradation. Displacement sensors track relative movements, deflections, and vibrations of bridge elements. Large, unexpected movements may signal material fatigue or weakening of support structures, while slow, progressive displacements can indicate foundation instability or shifting soil conditions. Abnormal vibration frequencies may reveal cracks, fractures, or loose connections. Corrosion sensors monitor the material integrity, particularly in steel reinforcements and concrete. They detect the onset of rust or other corrosive processes in steel or rebar, which can compromise structural durability. Tilt sensors measure angular shifts and inclinations in bridge components. Changes in tilt can signal that the bridge foundation is shifting or sinking, while rapid or significant tilts often serve as early warnings of catastrophic failure. The sensor data is integrated to the controller, where the controller will analyze the input sensors values. Based on the threshold levels provided in the controller related to the sensor data, the controller will decide the health of the bridge. If any defect is identified then the controller enables LoRa wireless modules to communicate the data or alerts to bridge and maintenance authority via gateway to the cloud server. The authorities can monitor changes in the values in the bridge continuously.
BRIEF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein:
FIGURE 1: SYSTEM ARCHITECTURE
The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.
DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms “a",” “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises,” “comprising,” “includes” and/or “including,” when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
It should also be noted that in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed concurrently or may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
In addition, the descriptions of "first", "second", “third”, and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
In this invention, an approach is proposed for monitoring small-scale bridges using sensing technologies and the Internet of Things (IoT). In any bridge, pressure, displacement, corrosion, and tilt sensors are critical for monitoring, as they enable measurement and analysis of various structural parameters. The pressure sensor in the proposed system analyzes forces acting on different bridge components, such as beams, trusses, and decks. It helps identify whether the bridge is under stress, highlights areas vulnerable to fatigue, and detects signs of structural damage or material degradation. Displacement sensors track relative movements, deflections, and vibrations of bridge elements. Large, unexpected movements may signal material fatigue or weakening of support structures, while slow, progressive displacements can indicate foundation instability or shifting soil conditions. Abnormal vibration frequencies may reveal cracks, fractures, or loose connections. Corrosion sensors monitor the material integrity, particularly in steel reinforcements and concrete. They detect the onset of rust or other corrosive processes in steel or rebar, which can compromise structural durability. Tilt sensors measure angular shifts and inclinations in bridge components. Changes in tilt can signal that the bridge foundation is shifting or sinking, while rapid or significant tilts often serve as early warnings of catastrophic failure. The sensor data is integrated to the controller, where the controller will analyze the input sensors values. Based on the threshold levels provided in the controller related to the sensor data, the controller will decide the health of the bridge. If any defect is identified then the controller enables LoRa wireless modules to communicate the data or alerts to bridge and maintenance authority via gateway to the cloud server. The authorities can monitor changes in the values in the bridge continuously.
The present bridge monitoring system consists of a network of sensors, a central processing unit (controller), and a communication module for real-time data transmission. Each component plays a crucial role in ensuring the accurate assessment of bridge health.
The pressure sensors are strategically installed at key structural locations, such as the bridge deck, beams, and trusses. These sensors measure the force exerted by vehicles, environmental loads, and material stress. The collected pressure data is analyzed to detect high-stress zones and determine whether the structure is experiencing abnormal loads or potential damage.
Displacement sensors are integrated into bridge joints, supports, and other critical elements to monitor relative movements, deflections, and vibrations. By continuously tracking these parameters, the system can identify unusual movement patterns that may indicate weakening materials, loose connections, or shifts in the bridge foundation.
Corrosion sensors are embedded within steel reinforcements and concrete structures to monitor environmental effects on bridge materials. They detect chemical changes such as rust formation, oxidation, and chloride penetration, which can gradually weaken the bridge structure. If corrosion reaches a critical threshold, the system generates alerts to prompt immediate maintenance interventions.
Tilt sensors are positioned at strategic points to measure angular shifts in bridge components. These sensors help detect settlement, inclination changes, and rapid shifts that may signal foundation instability or a risk of structural collapse. The tilt data is continuously analyzed to identify deviations from normal structural alignment.
The data from all sensors is collected and processed by a controller, which applies predefined safety thresholds to evaluate the bridge's condition. The controller continuously compares sensor readings against historical trends and pre-configured safety limits. If any abnormality is detected, the controller activates the LoRa wireless module to transmit alerts and data logs to a cloud-based monitoring system.
The LoRa communication module ensures secure and long-range data transmission to a centralized gateway, which then uploads the information to a cloud server. Maintenance authorities can access the cloud platform to monitor bridge conditions in real time, analyze historical data, and plan maintenance activities accordingly. The integration of IoT technology enhances remote monitoring capabilities and ensures proactive maintenance actions before structural failures occur.
The present system is designed to operate with minimal human intervention, ensuring continuous real-time monitoring and rapid response to structural changes. The ability to detect anomalies in pressure, displacement, corrosion, and tilt allows authorities to make informed decisions regarding bridge maintenance and repair. Additionally, the cloud-based monitoring interface provides historical data analysis, predictive maintenance recommendations, and automated reporting features. 
, Claims:1. An automated bridge monitoring system comprising pressure, displacement, corrosion, and tilt sensors for detecting structural changes and assessing bridge health.
2. The system as claimed in claim 1, wherein the pressure sensors analyze forces acting on key bridge components to detect stress concentration and material fatigue.
3. The system as claimed in claim 1, wherein the displacement sensors track movements, deflections, and vibrations in bridge elements to identify abnormal patterns indicating material fatigue or instability.
4. The system as claimed in claim 1, wherein the corrosion sensors monitor material integrity in steel reinforcements and concrete structures to detect rust formation and other corrosive effects.
5. The system as claimed in claim 1, wherein the tilt sensors measure angular shifts and inclinations in bridge components to detect foundation instability and potential structural failures.
6. The system as claimed in claim 1, further comprising a controller that processes sensor data and applies predefined safety thresholds to evaluate bridge health.
7. The system as claimed in claim 6, wherein the controller generates alerts when sensor values exceed predefined limits, indicating potential structural defects.
8. The system as claimed in claim 6, wherein the controller activates a LoRa wireless communication module to transmit real-time data and alerts to a cloud-based monitoring platform.
9. The system as claimed in claim 8, wherein the cloud platform enables remote access to bridge health data, historical trend analysis, and predictive maintenance recommendations.
10. The system as claimed in claim 1, wherein the integration of IoT technology enables continuous real-time monitoring and automated reporting for bridge maintenance authorities.