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Energy organizations are focused on modernizing operations to improve reliability and meet increased energy consumption levels. IoT products can provide mechanisms to automate or otherwise improve energy and utility firms in the following ways:
IoT vendors have entered the energy and utility market but lack the experience required to deliver solutions that can survive in the field or provide meaningful insights to our industry. A partner with prior experience building and maintaining energy and utility assets can be the missing link to the custom solution your organization needs.
The IoT market is saturated with solutions that require utilities to purchase vendor software, such as OSIsoft or Petasense, or to run inside a vendor’s cloud. A thirdparty consulting partner can identify and implement a solution that can scale, both in terms of cost and performance, whether the system is managing five or hundreds of thousands of sensors. An outside team can also help prevent vendor lock-in, a singular vendor that controls and manages all data and makes it difficult to mature or change data sets later. Instead, the team approaches the scenario with an agnostic perspective to help a client plan, design, build or manage an IoT deployment with deep industry knowledge, rather than a one-sided vendor perspective.
IoT implementations are multifaceted, requiring an understanding of the physical equipment that sensors will be deployed on, communication channels and cloud data warehouse and analytics capabilities. To fully gain the advantages of IoT, in-depth, practical experience in each aspect of the implementation process is required. At a deeper level, considerations for implementing an IoT Framework include:
Some analytics solutions exist with broad metrics, not taking into account the specific challenges an organization may face. An analytics solution should be adaptable and tailored to the organization’s unique assets and operating environment.
Energy operations and organizations are generally spread across a broad geography. While many options exist, from long-term evolution (LTE) to satellite to wireless technologies, transferring data from a sensor to an analysis team needs to be done quickly and securely.
The velocity, scale and diverse structure of data coming from sensor fleets often creates the need to build a data warehouse with the ability to rapidly ingest and grow elastically as data is received.
Analytics involve in-depth computer and data science experience, which must be distilled into actionable insights for consumption by business leaders for the information to be valuable. At the end of the IoT value chain, a presentation layer exists that is relatively simple to build and is then deployable inside enterprise systems.
From sensors in remote locations to communication and storage platforms, the entirety of the IoT framework must be designed and built with modern security practices in mind. Security measures prevent data inaccuracies and protect information so that only those inside the organization that need it can access it.
Sensors have evolved into smart, microcomputer-based systems and require robust management and security features. Sensor fleets from various facilities across all operating regions can be onboarded, managed and monitored centrally — and this requires a vendor-agnostic solution.
Sensors are often deployed in harsh environments or are specialized for industry or equipment. Having a partner with deep industry knowledge can help guarantee sensor operability over the life of the asset.
With unique challenges to overcome, every organization needs a solution custom fit to its operational needs. Implementing IoT products can be a complicated process for a team lacking the experience necessary for successful system integration. A knowledgeable team can help simplify the process and provide the services to assist with IoT product implementation.
IoT isn’t fundamentally new to the technology industry as supervisory control and data acquisition (SCADA) and industrial control systems (ICS) have remotely monitored or controlled devices for decades. However, recent improvements in the availability of network resources, along with the increase of cloud computing resources and declining cost of sensors, have allowed energy and utility organizations to collect more data faster than ever before. An experienced team can provide an outside perspective and the services needed to sort through data for insights into making strategic decisions for an organization.
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