Against the backdrop of the sharp surge in the installed capacity of wind power and photovoltaic power, operation and maintenance has become a new key challenge: Yusuan Xuanzhu Intelligent O&M will adopt the "business-oriented digital twin" to meet the rigid operation and maintenance demand throughout the 25-year operation period.

Digital Twin Resolves Operation and Maintenance Pain Points of New Energy Stations, Yusuan Technology Seeks Financing

With the continuous expansion of installed capacity of wind power and photovoltaic, a large number of new energy stations are transitioning from the construction period to the operation period of more than 25 years, and the efficiency and cost of the operation and maintenance link have begun to directly affect asset returns. The "Yusuan Xuanzhi Intelligent Operation and Maintenance" — a digital twin intelligent operation and maintenance platform for new energy stations, developed by Hebei Yusuan Technology Co., Ltd. for the long-term operation stage of new energy stations, has recently focused on serving scenarios of centralized photovoltaic power stations, step-up substations and new energy operation and maintenance service providers, and is proceeding with the next round of financing.

Shifting from "Large-scale Construction" to "Long-term Operation", Station Operation and Maintenance Has Become a New Challenge

Data released by the National Energy Administration shows that in 2025, China's new installed wind power capacity reached 120 million kilowatts, a year-on-year increase of 51%, and the cumulative grid-connected capacity reached 640 million kilowatts; the new installed photovoltaic capacity reached 317 million kilowatts, and the cumulative installed scale reached 1.2 billion kilowatts, of which centralized photovoltaic accounts for 670 million kilowatts. Along with the rapid growth of installed capacity, the industry growth logic is changing: after new energy fully enters the market, electricity price fluctuations are directly transmitted to the revenue of stations, and the focus of owners has shifted from "completion and grid connection" to power generation efficiency, equipment health, inspection quality and asset returns, making lean operation and maintenance a rigid demand.

However, centralized photovoltaic power stations and step-up substations have a large number of equipment and a wide coverage, and generally have the problem of scattered construction of systems such as production monitoring, video, access control, fire protection and UAV. The efficiency of manual inspection is insufficient, a large number of images rely on manual interpretation, and it is difficult to connect abnormality detection, order dispatching, disposal and re-inspection. The growth of operation and maintenance demand is also opening up market space. Some industry research institutions predict that the scale of China's photovoltaic operation and maintenance market will grow from about 260 billion yuan in 2023 to more than 1.2 trillion yuan in 2030, with an average annual compound growth rate of nearly 30%.

Taking Business-oriented Digital Twin as the Entry Point to Build a Closed Loop of "Observation, Inspection, Diagnosis, Control and Training" for Operation and Maintenance

The entry point of Yusuan Xuanzhi Intelligent Operation and Maintenance is not to build another 3D display system, but to take the business-oriented digital twin as a unified entry point, based on the digital objects of stations, regions and equipment, to uniformly organize operation data, alarm events, inspection tasks, image results, defect records, report work orders, auxiliary control resources and training contents, so as to build an intelligent operation and maintenance closed loop covering "observation, inspection, diagnosis, control and training". Among them, "observation" uniformly displays station operation indicators, equipment status, PR value, performance loss and alarm situation; "inspection" organizes periodic, temporary, alarm-triggered and defect re-inspection tasks; "diagnosis" integrates visible light, infrared images and equipment operation data to carry out auxiliary identification; "control" is associated with auxiliary control resources such as video, access control, fire protection and environmental monitoring; "training" builds scenarios of equipment cognition, standard inspection, fault disposal and emergency drill based on UE5.

In terms of technical mechanism, the platform associates the digital twin object model of business with the spatial position, coding, data, alarm, task, defect, work order and training materials of the digital equipment object, so that the 3D scenario can enter the daily operation and maintenance process; through heterogeneous resource task orchestration, it brings manpower, UAV, inspection robot, camera, sensor and special detection equipment into a unified task system; it drives inspection with PR and performance loss, and converts abnormal operation indicators into key area inspection, infrared inspection, cleaning inspection and special equipment verification tasks; finally, it forms a closed loop through AI primary screening, manual review, report work order, disposal re-inspection and result return, which improves efficiency while retaining professional judgment. It is worth noting that the platform is positioned as a supplement rather than a substitute — it does not intervene in the customer's existing production control system, but complements the cross-system capabilities of spatial positioning, task organization, result management and disposal collaboration within the security boundary.

According to the disclosure on the official website of Yusuan Technology, the accuracy of its AI defect identification algorithm reaches 98.5%, and the intelligent scheduling center can improve the operation and maintenance efficiency by more than 30%. The job recruitment information on BOSS Zhipin shows that the company is recruiting image recognition algorithm engineers, who are responsible for cleaning, denoising, enhancing and labeling image data such as photovoltaic panels and fan blades collected by UAV and cameras, which indirectly confirms the technical route of "AI image recognition + UAV inspection".

Based on Hebei's Demonstration Projects, Promote Regional Replication through "Project Entry and Product Precipitation"

In terms of business model, Yusuan Technology adopts the path of "project entry, product precipitation, module replication, partner expansion and continuous service": through single-region, single-module or single-station projects, it generates revenue through platform software authorization, private deployment, digital twin modeling, data interface, implementation deployment and necessary customization; during the implementation process, it continuously precipitates equipment models, interface components, task templates, defect classification and acceptance methods, and then obtains continuous revenue through module additional purchase, station replication, multi-station upgrade, annual maintenance and professional value-added services. The target users cover new energy station owners and operation units, new energy operation and maintenance service providers, regional companies of power generation groups, power engineering enterprises and system integration units, which not only serve the digital construction of new stations, but also are applicable to the intelligent transformation of existing stations.

In terms of regional strategy, the company is based in Shijiazhuang, taking Hebei as the first batch of demonstration markets. Hebei has a variety of application scenarios such as centralized photovoltaics, wind power, step-up substations and energy storage, and the local team can shorten the radius of on-site investigation, interface joint debugging, deployment training and after-sales response. Industrial and commercial information shows that Yusuan Technology was established in December 2024 with a registered capital of 3 million yuan, and its registered address is located in Hebei Normal University Science Park, Yuhua District, Shijiazhuang City. It is a technology-based micro-enterprise with less than 50 employees; in March 2026, the company carried out school-enterprise mutual visits with the School of Software of Hebei Normal University, and discussed cooperation around the direction of AI empowering industries. No external institutional financing records of the company have been shown in public channels, and its registered software copyrights are currently concentrated in the digital operation business line of scenic spots.

For Yusuan Technology, new energy station operation and maintenance is a niche market that has not been completely occupied by giants. Manufacturers such as Sifang Co., Ltd. and Haiyi Software mostly cut in from the centralized control platform and simulation training, while the opportunity for startups lies in flexible delivery that is closer to the business process of a single station. It is reported that Yusuan Xuanzhi Intelligent Operation and Maintenance is proceeding with the next round of financing, and the funds of this round will provide support for the product polishing of the platform and the market expansion in regions outside Hebei.