Start-Up Story: WorldSensing

Note: Let me feed you some info about Worldsensing. To ensure the quality of life for decades to come, solutions are needed today.

Most civil infrastructures across the globe are structurally unsound. Low-maintained dams, bridges, tunnels and mines pose a risk to our lives.

While climate change increases the frequency and intensity of natural hazards, many civil infrastructures are not robust enough to deal with increasingly severe, violent or unpredictable weather. At the same time, efforts to protect society from the growing frequency and severity of infrastructure failures are lagging.

At Worldsensing, we monitor large-scale civil infrastructure to help prevent life-threatening incidents. With the ambition to leave a mark for future generations and to positively influence human progress, it is our purpose to use our IoT expertise to create a more resilient world.

Thank you for sharing information about Worldsensing. It sounds like the company is focused on addressing important infrastructure challenges and improving safety for people around the world.

By monitoring civil infrastructure using IoT technology, Worldsensing is able to detect potential risks and prevent accidents before they happen. This type of proactive approach can help to prevent catastrophic events and save lives.

It's great to see companies like Worldsensing taking a leadership role in addressing infrastructure challenges, particularly as climate change and other factors create new risks and challenges. By working together, we can create a more resilient world for generations to come.

Can you tell me more about the technology used by worldsensing?

Sure, Worldsensing uses a combination of Internet of Things (IoT) technology and data analytics to monitor large-scale civil infrastructure and detect potential risks before they become serious safety hazards.

Their IoT-based systems are designed to collect and analyze data in real-time from sensors installed in infrastructure such as dams, bridges, tunnels, and mines. This data is then analyzed using advanced data analytics techniques to identify patterns and anomalies that may indicate potential safety risks or maintenance issues.

Worldsensing's technology platform includes a range of different sensors that can be deployed in various types of infrastructure, including vibration sensors, strain sensors, temperature sensors, and more. These sensors are connected to a cloud-based platform that collects, stores, and analyzes data from multiple sources in real-time.

In addition to their monitoring and analytics capabilities, Worldsensing also offers a range of other services and solutions, including predictive maintenance, risk assessments, and performance optimization. By using these tools and services, infrastructure operators can better understand the health and performance of their assets and take proactive steps to address any issues before they become major safety hazards.

How do you see the future for the combination of IOT with data analytics to monitor infrastructure?

I believe that the future of combining IoT with data analytics to monitor infrastructure is very promising. As the world becomes increasingly connected through IoT devices and sensors, we will be able to collect more data about infrastructure in real-time than ever before. This data, when combined with advanced analytics and machine learning algorithms, can provide valuable insights into the health and performance of infrastructure.

In the context of civil infrastructure monitoring, IoT and data analytics can help to identify potential safety hazards before they become serious issues. For example, if a bridge or tunnel starts to experience abnormal vibrations or movements, sensors can detect these changes and alert operators to potential problems. By analyzing this data in real-time, infrastructure operators can take proactive steps to address any issues before they become major safety hazards.

Furthermore, as AI and machine learning continue to develop, we can expect even more advanced and accurate analytics that can help to predict maintenance needs, identify potential issues before they occur, and optimize infrastructure performance.

Overall, the combination of IoT with data analytics has the potential to revolutionize the way we monitor and manage civil infrastructure, making it safer and more efficient than ever before.

Who are the main players in the infrastructure monitoring market?

The infrastructure monitoring market is a rapidly growing industry, with many players offering a range of different solutions and services. Some of the main players in the infrastructure monitoring market include:

1. Worldsensing - a global IoT technology company that specializes in infrastructure monitoring.
2. ABB Ltd. - a Swiss multinational corporation that provides a range of infrastructure monitoring solutions and services, including remote monitoring and predictive maintenance.
3. Siemens AG - a German conglomerate that offers a range of infrastructure monitoring solutions, including sensors, data analytics, and predictive maintenance.
4. Honeywell International Inc. - an American multinational conglomerate that provides a range of infrastructure monitoring solutions and services, including remote monitoring, asset management, and predictive maintenance.
5. Emerson Electric Co. - an American multinational corporation that offers a range of infrastructure monitoring solutions and services, including sensors, data analytics, and predictive maintenance.
6. Schneider Electric SE - a French multinational corporation that provides a range of infrastructure monitoring solutions and services, including sensors, data analytics, and predictive maintenance.

These are just a few examples of the many companies that are active in the infrastructure monitoring market. As the industry continues to grow and evolve, we can expect to see many new players entering the market with innovative new solutions and services.

Do you know successful projects where infrastructure monitoring has been used?

Yes, there have been many successful projects where infrastructure monitoring has been used to improve safety and efficiency in various types of infrastructure. Here are a few examples:

1. The Forth Road Bridge in Scotland: The Forth Road Bridge is one of the world's largest suspension bridges and an important transportation link between Edinburgh and Fife. In 2015, a crack was discovered in one of the main support beams, and the bridge had to be closed for repairs. To prevent future issues, a real-time monitoring system was installed that uses sensors to detect any changes in the bridge's structural integrity. This system allows operators to detect potential issues before they become serious safety hazards and take proactive steps to address them.
2. The Hong Kong-Zhuhai-Macau Bridge: The Hong Kong-Zhuhai-Macau Bridge is one of the world's longest sea bridges and an important transportation link between Hong Kong, Macau, and mainland China. To ensure its safety and performance, a range of sensors and monitoring systems were installed throughout the bridge, including sensors that measure wind speed and direction, wave height, and water temperature. This real-time data is analyzed to identify any potential safety hazards and optimize the bridge's performance.
3. The P?ij?nne Water Tunnel in Finland: The P?ij?nne Water Tunnel is one of the world's longest water supply tunnels, providing clean drinking water to the Helsinki metropolitan area. To ensure the safety and performance of the tunnel, a range of sensors were installed to monitor water flow, pressure, and temperature. This data is analyzed in real-time to identify any potential issues and allow operators to take proactive steps to prevent accidents or disruptions to the water supply.

These are just a few examples of the many successful infrastructure monitoring projects that have been implemented around the world. By using advanced technology and real-time data analytics, infrastructure operators can ensure the safety and performance of critical infrastructure and improve the quality of life for people around the world.

Are opportunities available in the infrastructure monitoring market?

Yes, there are many opportunities available in the infrastructure monitoring market, particularly as the world's infrastructure continues to age and new challenges emerge. Some of the key opportunities in this market include:

1. Providing innovative monitoring solutions: With the increasing demand for infrastructure monitoring, there is a need for companies to develop innovative new solutions that can meet the unique needs of different types of infrastructure. This could include new sensors, data analytics tools, or predictive maintenance systems that can help to identify potential safety hazards before they become serious issues.
2. Developing software and data analytics capabilities: As infrastructure monitoring becomes increasingly data-driven, there is a need for companies to develop advanced software and data analytics capabilities that can process and analyze the large amounts of data generated by sensors and other monitoring systems.
3. Offering predictive maintenance services: Predictive maintenance is an important part of infrastructure monitoring, allowing operators to identify potential maintenance needs before they become serious issues. Companies that can offer effective predictive maintenance services can help to reduce downtime and increase the lifespan of critical infrastructure.
4. Providing remote monitoring and control services: With the increasing availability of IoT technology, there is an opportunity to provide remote monitoring and control services that allow operators to monitor and manage infrastructure from a central location. This can help to improve safety, reduce maintenance costs, and optimize infrastructure performance.

Overall, the infrastructure monitoring market is a rapidly growing industry with many opportunities for companies that can provide innovative solutions and services to help ensure the safety and efficiency of critical infrastructure.

Peter Auwerx, chatting with chatGPT.