With growing human needs, the demand for utility has reached an all-time high. According to the 2014 Global Utility Evolution Benchmarking Study on utility trends, the worldwide demand for electricity will increase by more than two-thirds and gas by almost half between 2011 and 2035.
Amidst the increased requirement, the influx of digital and new-age technologies has brought in a significant shift in the traditional businesses. With machine learning (ML), big data, predictive analysis, artificial intelligence (AI), IoT and many cutting-edge technologies, the long-established industries are expected to meet the growing demands of a global population.
As per a recent report, the world’s publicly listed utilities have employed close to 3.7 million people and brought in US $2.2 trillion revenue in 2017. Slowly and steadily, the utility companies which largely covers electricity, natural gas, water, sewage, telephone, and transportation are experiencing an unprecedented disruption. The energy providers are envisioning newer possibilities for their businesses.
In 2016, MIT (Massachusetts Institute of Technology) released a study called ‘Utility of the Future: An MIT Energy Initiative Response to an Industry in Transition.’ As per the analysis, “A range of more distributed technologies – including flexible demand, distributed generation, energy storage, and advanced power electronics and control devices – is creating new options for the provision and consumption of electricity services. In many cases, these novel resources are enabled by increasingly affordable and ubiquitous information and communication technologies and by the growing digitalization of power systems.”
At Incture Technologies, we believe in transforming people, processes and businesses. Paying heed to the requirement of customers, electricity transmission has been one such public utility sector which has revolutionized our lifestyles. Enhancing the lifecycle of wooden poles used across North America to support electric lines, Incture Technologies have developed an AI based algorithm.
Due to the high strength per unit weight, low installation, maintenance costs and excellent durability, these utility poles are widely used. However, unfavorable weather conditions, result in the deterioration of these utility poles due to biotic and abiotic factors.
Our algorithm has helped in predicting the lifecycle of these utility poles and reduced the wooden pole failure from almost 8 percent to below 3 percent. It has also helped to eradicate the potential risk of decay and has maintained a continuous power supply.With the AI based algorithm, an automated inspection plan is generated which would classify the survey. This model is aimed to provide an insight into the value of the comprehensive inspection verses a streamlined inspection and what circumstances warrant each inspection type renders.
Largely, a predictive maintenance program for utility poles encompasses pole age, wooden species, length, circumference, location, soil type, moisture, pole movement, temperature and many other scenarios which affects the pole.
As a result, for the enterprises working in the energy supply and transportation domain it is important to calculate the lifecycle of these poles. Addressing this concern, Incture technologies, developed an application for one of the largest energy supplier in the US which would help them to predict and prevent the deterioration.
Be a part of our journey and if you believe in transforming businesses, reach out to us at email@example.com for a free demo!