On 29 march, at around 1500 hours, in the vicinity of the stormy storm, a number of people travelling through parts of the train were affected to varying degrees by the malfunctioning of foreign objects in contact between the southern and western stations of guangzhou, the southern and southern regions of guangzhou, and the southern and western parts of mount yuen, which caused the interruption of electricity. Sudden malfunctions again reminded that the high iron bow net is safe and that being monitored by the bow is a key line of defence to secure operations against alien risks。
The high iron power core is the bow-net system consisting of a bow to the top of the vehicle and a network of contact in the air. High voltage power flows continuously through the bow, driving the train at high speed. When a foreign object is attached to the network, whether a conductor or an insulation, a direct impact is placed on the operational state of the electric bow: the conductor triggers a short-circuit jump, the insulated alien enters the dynamic convection line and causes the electric bow card delay, wear, arc, and the light interrupts the power supply, causing damage to the equipment and endangering the safety of the vehicle. This high-level iron failure in guangzhou was the same thing that broke into the bow-net area, causing the power chain to “break off”。
The bow-net detection system, on the other hand, acts as a sentry of the bow-net system, which is supported by a core technology that has shifted from passive recovery to active warning。
Visible motor vehicles are subject to a bow video surveillance system to monitor, in real time during their operation, the electro-access and network working conditions of the vehicle's roof and to balance the operating state of the high-pressure equipment near the bow. Automatic, real-time recognition of electrical bow abnormalities through intelligence analysis, providing surveillance video and analytical images to support the handling of bow network failures, such as abnormal bows, by vehicle mechanics. Car fleets use bicycle storage, centralized surveillance and intelligent analysis programmes。
The failure, when efficiently operated by a bow monitoring system, could have given early warning in the early stages of an alien invasion, assist the driver in precalculating risks, taking timely safety measures, reducing the time of failure response and disposal and minimizing the impact of the train's presence and lateness. In day-to-day operations, electric bow monitoring makes it more sustainable to “check” the bow-net state and to detect, in advance, hidden problems such as loose parts and poor exposure, suffocating malfunctions in the bud and preventing minor pitfalls from becoming major accidents。
The electric bow video surveillance system has four core functions:
1. All-weather high-resolution imaging
A 24-hour-a-day dynamic collection of electric bows, net of contact and high-pressure equipment on top of vehicles is achieved through an integrated cloud stand, a light patch and an electric bow camera with heat-heated glass. Support for increased high light inhibition and low light levels to adapt to extreme light scenarios, such as day and night, tunnel access and elimination of dynamic drag。
2. Smart anomaly recognition
The smart analyser handles the video stream in real time, automatically recognizes the electrical bow abnormality and generates alert information to be sent to the monitor. Supported the storage and centralization of bicycles to achieve real-time warning of bow network failure and historical data traceability。
3. Multi-system synergetic network
Through network nodes, ethernet/coaxial cable group networks are achieved, compatible with systems such as ves. Time synchronized with automatic school hours to ensure consistency of train-wide data。
4. Interactive and interactive interviews
Monitor screen integration of digital video decoding and play-off, which rotates in single-photo mode, displays the monitored images of each of the bows and supports cloud control and electrodynamic focal points。
System light
The core strengths of the system lie in the quality of imaging, dynamic responsiveness and environmental adaptation。
Test effects
Image mass within night tunnel / firework data
Further analysis of spark discharge position
The failure of high iron contact nets in guangzhou reinforces the precision of each technique. It is not visible, but it is a “safe eye” of a high iron-powered chain, and we will continuously upgrade surveillance techniques, enhance the safety of the bow network and contribute to the safety of the train。
