Use Cases Transportation Structural Health Monitoring

Structural Health Monitoring

Structural health monitoring solutions ensure the safety and soundness of engineering structures such as a buildings and bridges. Structural health monitoring uses an assortment of sensors to collect and analyze data pertaining to any damage or deterioration that a structure may receive over the course of its life. The data that structural health monitoring systems acquire can help its users avoid structural failures and changes to the material and/or geometric properties of a structural system, including changes to the boundary conditions and system connectivity, which adversely affect the system's performance. The structural health monitoring process involves the observation of a system over time using periodically sampled response measurements from an array of sensors (often inertial accelerometers), the extraction of damage-sensitive features from these measurements, and the statistical analysis of these features to determine the current state of system health. For long term solutions, the output of this process is periodically updated information regarding the ability of the structure to perform its intended function in light of the inevitable aging and degradation resulting from operational environments. After extreme events, such as earthquakes or blast loading, health monitoring is used for rapid condition screening and aims to provide, in near real time, reliable information regarding the integrity of the structure.

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Visual Management on Gas Tankers
Visual Management on Gas Tankers
Gas tankers are massive ships with a limited crew, making them extremely difficult to monitor. Video surveillance systems, which use a large number of widely distributed devices, and fire prevention systems are both crucial elements of a gas tanker monitoring system.The system used for this application is a legacy analog CCTV surveillance system that is completely independent from the main monitor and control SCADA system. With this system, the administrator responds to an event by first using the SCADA system to locate the event, and then accesses the appropriate surveillance camera from the CCTV system to view the location. The goal is to upgrade the system so that only one step is required. This is done by integrating the CCTV surveillance system into the SCADA system, in which case the surveillance system becomes a SCADA sub-system, making centralized control and monitoring possible.System Requirements- Upgrade to an IP video surveillance system for integration with the existing SCADA system- Live video display (through the SCADA system)- Enable events in the SCADA system to automatically trigger live video display- All the devices need to be of rugged design and have an anti-explosion defense
The city of Calgary using data to predict and mitigate floods
Every year, spring rains and snowmelt pour into the rivers and reservoirs that feed the City of Calgary’s water supply. As a result, downtown businesses and residents are faced with unpredictable floods that could do millions of dollars of damage. The City of Calgary turned to the PI System for a data-driven approach to predicting and managing flooding.Both the Bow and Elbow rivers flow through Calgary’s borders and provide fresh water to the system. These rivers carry the runoff, rainfall, and snowmelt from nearly 9,000 kilometers of land and the water is collected in two primary reservoirs managed by the City of Calgary. To ensure a safe, consistent, supply of water for its customers, the City of Calgary must keep a close eye on both the quality and quantity of water in these rivers and reservoirs. One of the biggest challenges in doing so is the region’s annual floods. Each year, between May and June, snowmelt, runoff, and rainstorms cause the water levels in the rivers to increase substantially. Preparing for flood-level waters is part of the utility’s annual plans, but predicting when, precisely, they would occur was another matter. Water tables can change quickly and the utility must balance flood risks against continuing to meet user demand and maintaining reservoir levels and water quality. During a flood event, the utility is faced with a surge in water volume through its system. Before water reaches the reservoirs, it must be treated and the sudden increase in volume caused by the floods often overwhelmed the treatment plants, resulting in quality issues. Furthermore, City of Calgary lacked timely information that would let it reduce reservoir volume in advance of a flood. As a result, emergency response often struggled to respond as flood waters reached downtown. The resulting damages — including residential and commercial insurance claims, water quality issues, system downtime, and regulatory fines — could total in the millions. To reduce the impact of floods on its customers and its business, City of Calgary, turned to the PI System.
MOBILE ALARM SOFTWARE PROTECTS AGAINST LANDSLIDES IN VIZILLE, FRANCE
MOBILE ALARM SOFTWARE PROTECTS AGAINST LANDSLIDES IN VIZILLE, FRANCE
The need to monitor for the arrival of landslides and take the necessary precautionary measures to prevent any casualties.

The overall structural health monitoring market was valued at USD 1.24 billion in 2017 and is estimated to reach USD 3.38 billion by 2023, at a CAGR of 17.93% between 2018 and 2023.

Source: Markets and Markets

The global structural health monitoring market size is estimated to reach USD 4.34 billion by 2025.

Source: Grand View Research

What is the business value of this IoT use case and how is it measured?
Your Answer

Cost Savings: Early detection of structural defects or damage through SHM can prevent costly repairs or catastrophic failures, saving businesses significant expenses in maintenance and downtime.

Improved Safety: SHM helps ensure the safety of infrastructure and occupants by continuously monitoring for signs of deterioration or damage that could pose a risk.

 

Who is involved in purchasing decisions, and who are the primary system users?
Your Answer

Infrastructure Owners: Owners of bridges, buildings, dams, pipelines, and other structures benefit from SHM by ensuring the longevity, safety, and reliability of their assets.

Engineering Firms: Engineering firms specializing in structural analysis, design, and maintenance use SHM technologies to assess the health of structures, identify potential issues, and recommend appropriate remediation measures.

Which technologies are used in a system and what are the critical technology?
Your Answer

What is MEMS?

MEMS (Micro Electro Mechanical Systems) capacitive accelerometers are one of the technologies, which addresses the needs of SHM. Because of the flat amplitude and phase response over a large bandwidth, ruggedness and attractive SWAP characteristics MEMS technology enable the increasing use of vibration sensing for SHM.

MEMS accelerometers use capacitive coupling to detect the motion of a suspended proof mass in response to external acceleration. A fabrication process that we utilize “bakes” the MEMS at the very high temperatures. This fabrication design guarantees very good performance repeatability in both – the temperature and the time. Obtained capacitive MEMS devices will measure from very low frequencies (<<1Hz) to high frequencies.

How many types of sensors have been developed for SHM?

- Contact-based sensors (such as microelectromechanical sensors)

- Noncontact sensors (such as air-coupled sensors, vision sensors using cameras, wireless rechargeable sensor networks, and radar sensor networks)

 

What data is obtained by the system and what are the critical data management decision points?
Your Answer

Sensor Data: SHM systems collect data from various sensors, including accelerometers, strain gauges, displacement sensors, and temperature sensors, to monitor structural behavior and detect anomalies.

Environmental Data: Environmental data, such as temperature, humidity, wind speed, and seismic activity, are also collected to assess the impact of external factors on structural health.

What business, integration, or regulatory challenges could impact deployment?
Your Answer

What are the key challenges for structural health monitoring systems?

- It is not a commodity purchase: due to the engineering costs and lack of resource availability associated with incorporating a SHM system into a structure, many organizations opt to forego deploying one. 

- Many structural health monitoring systems rely on point sensors, or sensors that obtain data about only one point, to monitor asset: using point sensors in SHM systems is limiting since these systems must use interpolation to simulation additional measurement locations.

 

- Data normalization: this is the process of separating changes in sensor output caused by damage and changes caused by varying environmental conditions. Since most SHM systems do not continuously monitor, it is difficult to normalize the data (especially when point sensors are used to collect the information).

What is the most important SHM Performance Requirement?

Resolution is the most important performance requirement for the sensors used for SHM application. Damage in a structure appears as a tiny variation at first, but it is amplified with the aging of the structure. A sensor with an excellent resolution will reveal a failure at the very early stages. Thus accomplishing high-performance monitoring of critical structures allows a significant optimization in its maintenance planning and, consequently, reduces the operating costs in a drastic way.

What are the most critical missions in SHM?

- Discovering how to determine damage-sensitive features

- How to extract information about them from the data measured by sensors, in order to detect damage or changes to systems

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