In the field of mine safety production, steel wire ropes serve as the "lifeline" of a mine, where even the slightest damage can lead to catastrophic consequences. Recently, a large mining group in Shandong pioneered the adoption of the TST Steel Wire Rope Real-time Online AI Intelligent Flaw Detection System, establishing an intelligent defense line for mine safety production with revolutionary inspection technology.
In June 2025, the mining group in Shandong deployed the TST AI Intelligent Steel Wire Rope Detection System. During its first full-load operation, the system, equipped with multi-dimensional sensors and deep learning algorithms, detected a single-wire break signal in a critical section of the main hoist's steel wire rope and immediately issued an alert.
Faced with the system's warning, the group swiftly initiated a "human-machine collaborative verification" process: partnering with the TST technical team to conduct a 100% full-rope re-inspection of the alerted section to validate the accuracy of the system's detection results.
After manual verification, it was confirmed that the steel wire rope exhibited single-wire damage at the specified location, achieving a precision rate of 100%!!! The TST AI Intelligent Steel Wire Rope Detection System not only accurately pinpointed the break's position but also automatically generated a damage analysis report compliant with national standards, providing reliable data for subsequent maintenance.
Unlike traditional manual inspections that rely on experiential judgment, the system completes the entire process—from signal acquisition to damage assessment—within 0.3 seconds and triggers a tiered early warning mechanism. This makes hidden defects can be fully detected, which are difficult to detect through conventional methods.
The 100% precision rate is backed by an algorithm trained on over 200,000 sets of industrial scenarios, forming a comprehensive "damage feature library." Furthermore, it has enabled the enterprise to achieve a digitalized closed loop from "detection and discovery" to "maintenance decision-making."
According to estimates, the TST AI Intelligent Steel Wire Rope Detection System can extend the service life of the group's hoist steel wire ropes by 20%-40%, saving over a million yuan annually in maintenance costs for a single production line.
The head of the group remarked: "In the past, steel wire rope inspections relied on manual visual checks and periodic sampling, which were not only inefficient but also prone to missing hidden damage. The TST system has transformed safety management from 'passive response' to 'active prevention,' significantly reducing the risk of sudden accidents."
After implementing the TST Intelligent Steel Wire Rope Flaw Detection System, the group's 604-meter-long production transport steel wire rope, operating at a speed of 8 meters per second, has achieved the following:
1. It can save the workload of 2 inspection workers throughout the year and significantly reduce the downtime for rope checking, which can reach 100+ hours in total.
2. It saves more than 600,000 kW/h of energy consumption for rope checking and more than 200,000 yuan in electricity bills.
3. The annual detection energy consumption can be saved by more than 800,000 kW/h, and the carbon dioxide emissions can be reduced by more than 800,000 kg/m³.
4. Extend the service life of wire ropes: By following standard operation and ensuring proper lubrication, the service life of wire ropes can be extended by at least one year, and the cost of wire ropes can be reduced by one third. The annual cost of wire ropes can be reduced from 900,000 yuan to less than 600,000 yuan.
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