The inaugural "AI + New Energy" Data Modeling Contest of Inner Mongolia Intelligent Operation & Maintenance New Energy Co., Ltd. concluded successfully on July 21. Luculent provided the contest with platform support, technical assurance and full-round service response throughout the event.

Centered on the theme of Empowering via Digital Intelligence · Harnessing Wind and Solar Energy, the contest closely aligned with the actual production and operation demands of new energy maintenance. Competition questions were designed targeting key on-site challenges, including hidden fault prediction for wind turbine gearboxes, early warning of temperature deviation in gearbox oil sump, and low-efficiency alert for inverters. Focused on two core modules — theoretical documentation of modeling and hands-on model development, the contest mainly assessed participants’ practical capabilities in zero-code AI modeling. It effectively improved the accuracy and scenario adaptability of intelligent early warning models, fully tapped the potential for data innovation and digital intelligence application among frontline operation and maintenance teams, and consolidated the implementation outcomes of the industrial internet intelligent operation platform.

The Intelligent Operation Platform of Inner Mongolia Intelligent Operation & Maintenance New Energy Co., Ltd., built and supported by Luculent for the modeling contest, is driven jointly by AI and data. It has established a brand-new intelligent operation and maintenance system featuring monitoring, management, early warning and optimization, advancing three major transformations in operation modes: from scattered, isolated management to centralized unified control; from breakdown maintenance after failures occur to predictive maintenance; and from experience-reliant work to data-driven operation.

The platform enables customers to independently develop AI application scenarios and foster an AI innovation culture, with continuous iterative upgrades based on data and on-site feedback. Boasting strong adaptability and user-friendly operation, it allows staff at power stations with limited information technology backgrounds to complete professional modeling independently. It truly realizes the goal of professional expertise embedded in the platform, and platform capabilities accessible to all employees.

Luculent will cooperate with the intelligent operation and maintenance company to formalize a long-term working mechanism of promoting learning, research and practical application through competitions. The two sides will regularly organize special hands-on modeling training and annual modeling contests, continuously iterate and optimize the platform’s AI algorithm component library, and enrich the intelligent early warning model portfolio covering all business forms and core equipment such as wind power, photovoltaic, energy storage and booster stations. With digital and intelligent technologies, Luculent will fuel the high-quality operation of wind and solar assets.