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Oil field port crane wire rope hoisting disorderly rope alarm system

NegotiableUpdate on 02/16
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Overview
The front-end of the Guangzhou Kedi Ou oilfield port crane wire rope hoisting disorderly rope alarm system adopts AI intelligent cameras embedded with AI intelligent analysis and recognition algorithms, supporting wire rope disorderly rope detection and real-time monitoring of the working condition of the hoisting wire rope. When a disorderly rope condition is detected, the system equipment immediately sends a voice alarm and pushes the alarm information to the monitoring center platform to remind the construction personnel to stop the operation, which can effectively avoid accidents and provide work efficiency.
Product Details

Crane crane wire rope transmission disorder alarm system, port winch wire rope disorder recognition alarm system, construction site wire rope transmission disorder detection alarm camera,Oil field steel wire rope conveyor chaotic rope monitoring cameraManufacturer of artificial intelligence visual image analysis equipment.

In heavy industrial operating environments such as oil fields and ports, as the core lifting equipment, the safe operation of the wire rope hoisting system of the crane is directly related to production efficiency and personnel safety. However, traditional manual detection methods have problems such as low efficiency, high error rate, and poor real-time performance. Especially in complex working conditions, steel wire ropes are prone to hidden dangers such as tangled ropes, jumping, and wear, which may lead to rope breakage accidents in severe cases. In response to the pain points in this industry, the Guangzhou Kedi Ou 'Steel Wire Rope Hoist Chaotic Rope Monitoring and Alarm System' based on IoT and artificial intelligence technology is gradually becoming a key solution to ensure the safety of high-altitude operations.

1、 System Overview

The steel wire drum may sometimes experience rope disorder during the transmission of steel wire ropes. Once rope disorder occurs, it will accelerate the aging of the steel wire ropes and reduce the safety and stability of the system; Dealing with the phenomenon of disorderly ropes consumes a lot of time and seriously affects the project schedule. At present, it is only through observation and feedback by construction personnel to determine whether the rope is disorderly, and there is no active detection and alarm function.

During the transmission of steel wire ropes, this method brings great labor intensity to the construction personnel, because the operator not only needs to observe the surrounding conditions of the steel wire rope, but also needs to pay attention to the transmission of the steel wire rope, which is prone to safety accidents, greatly enhancing labor intensity and reducing work efficiency.

2、 System Introduction

Guangzhou Kedi OuOil field port crane wire rope hoisting disorderly rope alarm systemThe front-end adopts AI intelligent cameras embedded with AI intelligent analysis and recognition algorithms, supporting wire rope disorder detection and real-time monitoring of the working condition of the winch wire rope. When the rope disorder is detected, the system equipment immediately sends a voice alarm and pushes the alarm information to the monitoring center platform to remind the construction personnel to stop the operation, which can effectively avoid accidents and provide work efficiency.

油田港口行车钢丝绳卷扬乱绳报警系统

3、 Product Features

The intelligence level of the steel wire rope hoisting and disorderly rope alarm system for oilfield port driving is another major highlight. Through the built-in AI microprocessor and AI algorithm, the system can learn the normal operating characteristics of steel wire ropes under different working conditions and establish a dynamic benchmark model. When an abnormal situation is detected, the system will immediately compare the real-time data with the benchmark model and make a judgment within milliseconds. Once it is confirmed that the disorderly rope phenomenon has occurred, the system will immediately trigger the sound and light alarm device to remind the operator to handle it in a timely manner. At the same time, the system can also send alarm information to the remote monitoring center through wireless networks, achieving multi-level linkage response. This intelligent processing method not only improves response speed, but also provides data support for preventive maintenance.
Compared with traditional detection methods, the KeDiOu system has significant advantages. Manual inspection usually requires shutdown, which affects production efficiency and is greatly influenced by personnel experience. And the KeDiOu system realizes online real-time monitoring, which can complete detection without stopping the machine, greatly improving equipment utilization. At the same time, the quantitative detection standards adopted by the system eliminate the uncertainty caused by human factors, and the detection results are more objective and accurate. More importantly, the system is able to capture sudden rope disorder phenomena, which cannot be achieved through manual detection.

4、 Application scenarios

At a certain offshore drilling platform in Bohai Sea, the system successfully issued a warning for a rope breaking accident caused by a typhoon. At that time, the wind speed reached level 14, and the system triggered a warning 17 minutes in advance by analyzing the abnormal frequency spectrum of the wire rope swing, avoiding a drilling tool fall accident worth 2.3 million yuan. At a certain port's ore terminal, the system identified a hidden rope disorder caused by deformation of the drum end plate during night operations, which was missed three times in a continuous manual inspection.

In terms of industry applications, system equipment has been widely used in multiple fields such as oil fields, port loading and unloading, steel smelting, construction, petrochemical factories, and mining. In these industries with high security requirements, the reliable performance of the system has gained widespread recognition.

油田港口行车钢丝绳卷扬乱绳报警系统