The steel core conveyor belt is an important auxiliary equipment in the mining production line. Due to the harsh working environment, the failure rate of the mining conveyor belt is high and the maintenance is difficult. If failure occurs and is not replaced in time, it will cause large losses and may lead to an accident.
Therefore, improving the reliability of conveyor belt transportation, predicting the deterioration trend and assessing the service life are of great significance to ensuring the safe operation of conveyor belt.
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In response to the safety risks caused by manual inspection, Luoyang TST Flaw Detection Technology Co., Ltd. relies on intelligent sensors, "full magnetic detection" technology to provide customers with ferromagnetic metal components (steel wire rope/ steel core conveyor belt ) NDT technical services.
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With the advancement of science and technology, the real-time online AI intelligent flaw detection system for steel core conveyor belts developed by Luoyang TST Flaw Detection Technology Co., Ltd. has been able to detect the displacement/breakage/steel joints of conveyor belts during normal production. TST equipment can scientifically predict the deterioration trend of conveyor belts, reduce premature scrapping under the premise of safe use, achieve cost reduction and efficiency improvement for enterprises, thereby providing high energy efficiency and safe production of steel rope core conveyor belts.
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For a long time, transportation system inspections have mainly relied on manual labor, which is not only labor-intensive and inefficient, but also cannot grasp the operating status of the conveyor belt in real time. To this end, Longmei Group has introduced TST steel core conveyor belt real-time online AI intelligent flaw detection system for use.
The relevant person in charge of the mine said that the damage of steel core conveyor belt is hidden and difficult to detect. With TST steel core conveyor belt real-time online AI intelligent flaw detection system, the future maintenance work is more targeted. It can also avoid sudden accidents caused by conveyor belt breakage.
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While replacing manual inspection, TST steel core conveyor belt real-time online AI intelligent flaw detection system can detect, analyze, and store the internal and external status of the conveyor belt in real time when it is running. If any abnormal conditions are found, an early warning message will be issued and a detection report can be generated to realize the full life cycle management of the conveyor belt.
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The picture above shows the installation and operation site of TST conveyor belt real-time online intelligent flaw detection system in the mine of Longmei Group. Customers can view the flaw records of the steel wire rope at the console unit to check the flaw trend.
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By archiving data, TST system helps companies establish a long-lasting real-time detection mechanism for conveyor belts, providing a scientific basis for intelligent management of smart mines.
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