After using TCKW intelligent monitoring technology for steel wire rope in Ba Mine, it will reduce the time of checking rope by 180 hours per year, and increase the production of coal by 273,600 tons, with an additional output value of 481.5 million yuan. In addition, it can save energy consumption of 900,000 KW·h per year, reduce electricity cost by 369,000 yuan, and reduce carbon dioxide emissions by 899,700 kilograms. Under the premise of ensuring safety, extending the service life of steel wire rope for one year can reduce the cost of using rope by 33.3% on average. The effect of energy conservation and emission reduction and cost reduction is very significant.

During production, the detection process can be completed simultaneously, which saves 133 hours of detection time throughout the year. At an average rate of 30 TEU/h, each shore bridge can increase the number of containers lifted by 3,990 TEU per year. Based on the calculation of 1600 yuan/TEU, it can increase the output value by 6.384 million yuan. The service life of TCK.W equipment is 10 years, which can increase the output value by 63.84 million yuan, with an average annual input-output ratio greater than 1:88.

Complete testing during production, saving 1 hour per day for testing, increasing annual operating time of each drill by >300 hours. Safety monitoring throughout the life cycle, scientifically reducing rope costs. Provide technical support for circular economy and achieve the dual carbon goal. Save 201630 Kwh of testing energy consumption per year, reduce carbon dioxide emissions by 201025 Kg.

The elevator steel rope detection technology invented by TCK.W not only enables portable and round-trip detection of elevator steel ropes, but also achieves online real-time automatic monitoring of important elevator steel ropes, successfully solving the technical difficulties of steel rope safety detection.

TCK.W liberates tower crane drivers from dangerous, complex, repetitive, and inefficient wire rope inspection work, replacing manual inspection with machine intelligence detection. It solves the three major problems of hidden dangers, waste, and inefficiency, and achieves the management goals of safety, conservation, and efficiency.