Creating A Safer Environment with IoT
We can get a better understanding of the world around us by consistently monitoring our environment. The Internet of Things (IoT) has enabled large-scale environmental monitoring for commercial, industrial and research purposes. New innovations are constantly in progress that will allow us to make better, safer decisions in our everyday life and protect our environment. For example, imagine how much safer roads would be if your car could warn you about upcoming road hazards such as heavy snow or black ice based on weather and road condition data. When connected to an IoT network, modern technologies can also be used to collect data for weather predictions and monitoring. Oil and gas companies can better protect marine life and ocean environments with offshore leak detection systems. On land, residents living near coal power plant facilities can feel better about the air they breathe when air-quality is consistently monitored. Sensor-2-Server (S2S) communication and networking solutions are increasingly used to help monitor the quality of the environment to prevent and actively identify a number or potentially dangerous situations, such as hazardous material leaks and fugitive emissions. From environmental impact assessments and air quality monitoring to soil dynamics analysis, S2S solutions are meant to gather data from any sensor at any point in the IoT network and bring it back to a specific location to be acted upon. With S2S technology in place, operators can consistently gather and transmit data that affects the quality of life for the world population. It’s important to find a solution that has been proven in the harshest environments – that can withstand the weather extremes and volatile elements. Understanding Your Environment in Real-Time In many applications, especially when safety is the top priority, it is critical to review timely and accurate data to ensure there are no glaring issues with the environment. S2S technologies for environmental monitoring should offer real-time information, as well as large quantities of data that can be analyzed to understand trends through predictive analytics engines. Here are some additional applications where S2S solutions can be leveraged for environmental monitoring: CBRN Monitoring for protective measures where chemical, biological, radiological or nuclear warfare hazards may be present Fugitive Emissions Monitoring for volatile organic compounds (VOC) – this is especially common in oil and gas Leak Detection and Repair (LDAR) to ensure compliance with Environmental Protection Agency regulations. Subsea Monitoring for exploration, research and offshore oil and gas applications Levee Performance Testing to understand levee load capacity and prevent breaches. Water Level Monitoring to track rainfall or water levels in industrial settings. River Flow Monitoring to determine how much water flows through lakes and streams. Seismic Monitoring and volcanic monitoring to provide early detection of these events and enable authorities to warn citizens in advance to take appropriate precautionary measures. As we become increasingly connected to the world around us, we also gain visibility into the surrounding environmental conditions. This offers a wide and diverse range of industries a unique opportunity to monitor the environment in new ways and make intelligent decisions to prevent future negative impacts on the environment as a whole.
Seismic Shift in IIoT Monitoring
There’s been a seismic shift in monitoring earthquakes via the Industrial Internet of Things (IIoT) with advanced Machine-to-Machine (M2M) technology have reshaped the industrial communication industry. Every device or machine along the network, even at the outermost edge, now has the opportunity to be fully-connected for automated collection and delivery of information. As Sensor-2-Server (S2S) communication technology evolves to keep up with the demand for this connectivity paradigm, new efficiencies are created and Big Data is available to drive actionable intelligence. Seismic Shift Data that Saves Lives The sheer quantity of available data, combined with the speed of automation can support mission critical applications that are designed to save lives. Research centers can leverage IoT networks to relay critical data in real-time from areas where earthquakes are a common threat to people living nearby. While natural events like earthquakes and volcanos are not avoidable or fully predictable, an IoT network can potentially help reduce the level of devastation through close, reliable seismic monitoring via highly sensitive and advanced sensor technology. S2S communications monitor and send data from remote areas where Earth changes are first detected, to the monitoring authorities who are closely tracking seismic activity. S2S solutions leveraged for early detection of these events can enable authorities to warn citizens in advance to take appropriate precautionary measures. When robust, rapid, real-time monitoring is combined with effective emergency communications, human casualties can be significantly decreased. Seismic Shift and the Ever Changing Landscape IoT has been adopted at such a rapid pace that the demand for modern, sophisticated communication technology is driving constant changes in remote, industrial communication networks that will further advance applications like seismic monitoring. These changes have clearly disrupted the traditional Supervisory Control and Data Acquisition (SCADA) market. While SCADA systems are not obsolete, industries like environmental monitoring will continue to leverage new technologies designed to help seismologists make more informed decisions than with just SCADA alone. Now, network operators can evolve and adapt their monitoring programs over time through the IoT with edge devices that allow third-party software applications to be deployed network-wide. This has not only opened new doors for software developers, but it opens up the opportunity for advancements in environmental monitoring to further improve natural event monitoring. Fast and accurate data transport from the sensor networks in seismic monitoring therefore requires robust and reliable technology that doesn’t fail in remote and sometimes harsh environments. RF technology, for example, is advancing to help field crews make intelligent decisions and closely monitor the elements that can help delivery early warning for natural events. Find us at JavaOne this Week
Earth-Shaking: Resiliency & Smart Infrastructure Lead Seismic Monitoring Efforts
Seismic monitoring tends to pop up in the news only during disaster situations, or, more recently, in conjunction with North Korea’s possible detonation of a hydrogen bomb. Earlier in 2015, The New Yorker ran a piece, “The Really Big One,” looking at the probability of a large earthquake destroying the Pacific Northwest. The earthquake off the coast of Japan in 2011 triggered one of the largest nuclear plant meltdowns of recent history, the impact of which we are still dealing with today. Point being, the typical association with seismic monitoring – earthquakes and explosions – is negative. The day-to-day reality, however, is much more interesting. Every day, vast amounts of seismic data are being collected the world over, and that data is being reflected by cities taking action to create smarter, more resilient infrastructures – especially in areas where seismic activity either happens frequently or would be devastating were an event to occur. Geological hazard monitoring has become a primary focus for many areas of the world, and as the technology has matured, so has the ability to transport data in real time. In turn, with real-time data transport comes the ability to incorporate predictive analytics and more intelligent decision making for city planning and civil engineers. New Zealand is an excellent example of the renewed emphasis on earthquake monitoring and preparedness. Each year, there are more than 250 significant earthquakes throughout New Zealand, so collecting that data allows scientists to detect, analyze and respond to the seismic activity. As the data is processed, the predictive analytics come into play. Data from these monitoring sites can be used to examine ground movement, which can indicate stress points, and to gauge the probability of an earthquake in the future. Today’s technology now allows all of that data to be transferred in real time from the monitoring sites to the back office, greatly increasing the ability to deploy it into actionable intelligence. In 2011, when Christchurch, New Zealand, was hit with a series of devastating earthquakes and aftershocks – including an aftershock that “produced the highest peak ground accelerations on record” – the recovery effort was basically twofold: how could the city not only rebuild the structures and civic needs, but simultaneously make that infrastructure smarter and more resilient, able to predict and handle future seismic events without the crippling aftereffects. And the truth is, those exact questions are being asked by cities in similar positions on a daily basis. What this all points toward is an evolving ability to synthesize IIoT communications technology, data collection and predictive analytics into a smarter and more resilient infrastructure for areas prone to seismic events. Things that used to fall into the realm of “the future” are now very real and very tangible solutions to nature’s enigmatic temperaments.
