Multi-disciplinary industrial monitoring to enhance the new multi-sector era

Multi-disciplinary industrial monitoring to enhance the new multi-sector era

May 2014

The 19th century was the industrialization era. The 20th century has been the raise of the technological era. Now, at the beginning of the 21st century, administrations, businesses and people are more and more focused on getting into integrated networks, both in cultural, social, economic, and political ways.
We are right into the integrated communications era. Communications is the ability to connect different items (people, devices, processes, etc) to form an integrated source of information exchange, which can be applied to engage in a global solution. On the raise of this new era, large and small companies are getting engaged to establish enormous multi-sector projects that enable to target diverse markets and business: there is no future for narrow-niched companies, as they will just get absorbed by a global world that chases integrated solutions.
The age of specialized projects focusing only on energy, or civil infrastructures, or environment is coming to an end. Every day we see more and more how large companies engage in multi-sector projects: construction companies adding value to their proposal integrating wildlife protection measures, oil & gas companies that move beyond the oilfields to build their own infrastructures for autonomous inter-territorial transport and take care of potential environmental issues, and so on.
Following this trend (and also more strict laws), most modern projects require multi-disciplinary monitoring to keep track on real-time of everything directly or indirectly related that may have any cause or consequence in their design, development, construction and operational phases. Thus, in the communications integrated era in which we are drifting, the new projects of the globalized multi-sector business require of multi-parameter and multi-approach monitoring solutions that enable to respond to all demands of our globalization.
Therefore, these solutions must provide data from all fields: a civil engineering project needs as much of structural data as of geotechnical data and environmental data.
What sense does it make to monitor a ground settlement if this data is not related to environmental and weather data? Another example: in order to be efficient and regulation-compliant (and to enter the digital era), most oilfields require data from all kinds of parameters: geotechnical (to control ground and surrounding areas), environmental (to detect potential risks and/or causes of instability), industrial (to track and optimize production), geophysical (to explore further development in existing or new areas), structural (to prevent aging infrastructures of potential collapse), chemical (to analyze fluid evolution or gas leakages), among others.
In this sense, sensing networks that enable customers to encompass their multi-disciplinary necessities to cover inter-related parameters are no longer a commodity, but a requested necessity. And the data which is being captured by these sensors in the field is being administered in quickly growing horizontal platforms which are able to display, analyze and control the industrial applications.
In the integrated communications era, only the companies prepared for multi-sector projects (by means of their own capacities or strong partnership collaboration) will be prepared to face multi-disciplinary projects in order to get the business ready for the immediate and near-future global necessities.

About Worldsensing

Worldsensing is a global IoT pioneer. Founded in 2008, the infrastructure monitoring expert serves customers in more than 70 countries, with a network of global partners to jointly drive safety in mining, construction, rail and structural health.

Worldsensing is headquartered in Barcelona and has a local presence in the UK, North and South America, Singapore, Australia and Poland. Investors include Cisco Systems, McRock Capital, ETF, Kibo Ventures, JME Ventures and Bentley Systems.

 

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