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A local pilot smart industrial park for construction equipment is being established to explore new models for crane equipment management.

2026-02-02

Against the backdrop of transformation and equipment upgrades in the construction industry, innovation in construction equipment management—led by local pilot programs—is now underway. The new approach of systematically enhancing the safety management and service efficiency of large-scale equipment such as lifting devices holds demonstrative significance for the industry’s standardized and intelligent development.
A local pilot smart industrial park for construction equipment is being established to explore new models for crane equipment management.

Against the backdrop of transformation and equipment upgrades in the construction industry, innovation in construction equipment management—led by local pilot programs—is now underway. Taking Suzhou City as an example, its Housing and Urban-Rural Development Bureau issued a notice in early 2026 clearly stating its intention to promote the intelligent development of the construction equipment industry through pilot initiatives. The bureau plans to complete the construction of an intelligent construction equipment industrial park in the first half of the year. One of the core focuses of this industrial park is to provide one-stop, full-lifecycle services for key construction equipment—including lifting and hoisting devices—covering all stages from new equipment selection and certification, leasing, professional testing, maintenance and repair, personnel training, to technological upgrades and renovations. The highlight of this model lies in its attempt to effectively integrate fragmented equipment resources, technical services, and management data through policy guidance and market-driven mechanisms. The park will establish a unified industrial internet platform aimed at connecting data across the entire value chain—from transactions and leasing to usage and maintenance—thus realizing digital management of construction equipment under a “one machine, one file” system. This initiative not only holds promise for addressing longstanding industry challenges such as opaque equipment information, delayed maintenance and repairs, and difficulties in tracing safety hazards; it also explores a new path toward systematically enhancing the safety management and service efficiency of large-scale equipment like lifting devices through industrial clustering and digital empowerment. This approach carries significant demonstration value for the industry’s standardized and intelligent development.

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