Shenli Rigging’s "AI-based Predictive Diagnostic Method for Rigging" wins the second prize at the 2026 provincial specialized competition.

Innovation empowers intelligent manufacturing; technology safeguards safety! The list of winners for the 2026 Shandong Province Innovation Methods and Applications Competition (Special Category: Innovative Application of Scientific and Technical Information) was recently announced. Shandong Shenli Rigging Co., Ltd. secured the Second Prize with its project, "AI-Based Predictive Diagnostic Method for Rigging," thanks to its robust technical capabilities and successful practical implementation.

The competition was jointly hosted by the Shandong Association for Science and Technology, the Department of Science and Technology, the Department of Industry and Information Technology, and the State-owned Assets Supervision and Administration Commission. Following rigorous multi-level screening across the province's cities and state-owned enterprises, 50 projects advanced to the finals. After multiple rounds of strict evaluation—including document review, on-site presentations, and expert Q&A sessions—10 projects were awarded the Second Prize, with Shenli Rigging among them. This honor serves as official recognition of the company's innovation capabilities in digitalization and intelligence. Leveraging the China Association for Science and Technology's patent information resource system, the project established a standardized R&D workflow: "search first, then develop, innovate further, and strategically deploy." The R&D team conducted a comprehensive search of over 200 global patents in the rigging monitoring field and systematically analyzed the limitations of existing technical approaches. By integrating TRIZ innovation methods with AI deep learning algorithms, they constructed a complete technical solution covering data acquisition, feature extraction, intelligent diagnosis, and service life prediction.

In terms of implementation, the project utilizes multi-source sensor fusion technology and lightweight AI inference models to achieve real-time identification of minor rigging damage, dynamic health status warnings, and quantitative prediction of remaining service life. This solution transforms traditional manual inspection methods and employs a differentiated technical design that effectively avoids patent infringement risks, establishing a technology portfolio with independent intellectual property rights.

As a national "Little Giant" enterprise (recognized for specialization, refinement, uniqueness, and innovation) and a "Single Champion" enterprise in the manufacturing sector, Shandong Shenli Rigging has long adhered to an innovation-driven development strategy. The company has established multi-level R&D platforms—such as a provincial-level enterprise technology center and a rigging engineering technology research center—and continues to focus on tackling key technical challenges in intelligent manufacturing and digital transformation. Winning this provincial-level competition for innovation methods not only showcases the interim achievements of the company's digital transformation but also marks a brand-new starting point. Moving forward, the company will continue to leverage patent information tools and deepen the application of innovation methodologies to drive the iterative upgrading of intelligent rigging technology. By developing standardized safety solutions tailored for industry applications, the company aims to facilitate the rigging industry's transition toward intelligent and green development.