On July 1, the three-day first Guangzhou Greater Bay Area International Rail Transit Industry Development Forum and Exhibition (referred to as the "Greater Bay Area Rail Transit Exhibition") came to a successful conclusion in Guangzhou.
The Guangzhou Greater Bay Area Rail Transit Forum and Exhibition is themed "Green and Smart Rail Transit, Innovative Industry, and the Road to High-Quality Leapfrog Development of Rail Transit". More than 200 powerful exhibitors gathered to focus on the Greater Bay Area rail transit industry; nearly 20,000 square meters of exhibition space was carefully planned to present the development results; the "1+8+N" forum was a collision of knowledge and a free talk about high-quality development; many real urban rail vehicles were present on site to demonstrate the profound heritage of urban rail equipment... Tens of thousands of visitors came to the scene to witness the fruitful results of the development of the Greater Bay Area rail transit.
Shanghai Quannuo Internet of Things Technology Co., Ltd. (hereinafter referred to as "Shanghai Quannuo") joined hands with CRRC to develop and test the independent research components of the series of Chinese standard subway trains and test projects, and appeared at the exhibition. Shanghai Quannuo focused on the passive obstacle detection and derailment detection system and obstacle detection system, fully demonstrating the results of independent innovation.
Passive obstacle detection and derailment detection system
The passive obstacle detection and derailment detection system can trigger the train's emergency braking when the track surface obstacle hits the train and the train derails, reducing train losses. It is the last line of defense for the train.
Passive obstacle detection and derailment detection device (carbon fiber beam):
Carbon fiber beams
Stronger structure
Stronger shock resistance
Lighter weight
Longer service life
Obstacle detection system
Achieve goals:
Real-time detection of obstacle types and distances
Including but not limited to common obstacle types such as tracks, pedestrians, iron shoes, foreign objects in tunnels, and civil air defense doors.
Real-time identification and detection of object distances.
Track area/limit detection through 3D mapping
Video stream image preprocessing deep learning, secondary algorithm, identification of track area/limit.
Obstacle warning
Train 2600mm×3250mm≧280m
Person 400mm×1500mm≧200m
Small obstacle (such as box) 300mm×300mm≧100m
Obstacle collision and derailment detection
Static trigger: 1000N±1000N
Dynamic trigger: When hitting an obstacle, the impact force generated by the collision should be able to trigger the system to issue an alarm and brake request.
Safety level: SIL2
Key technologies:
Feature detection
Sensor fusion
Semantic segmentation
SLAM
It has been applied to the obstacle detection system of the serialized standard subway 80B, 120A and 120B vehicles.
Leaders and guests visited the Shanghai Qnode booth
At the exhibition, leaders and guests at all levels visited the Shanghai Qnode booth and listened to the introduction of related independently developed products, fully recognizing Shanghai Qnode's independent innovation and R&D capabilities.
Shanghai Qnode focuses on the research and development and application of various intelligent systems in new smart urban rail trains and smart operation systems. It is a scientific research base of Tongji University's Enterprise Digital Technology and the Ministry of Education Engineering Research Center. Relying on Tongji University's forward-looking R&D capabilities and combining the company's strong R&D team, it has developed rail vehicle active safety systems, active and passive obstacle detection systems, LCU (Logical Control Unit), intelligent operation and maintenance systems, intelligent video recognition software and other intelligent products for future rail transit applications. In-depth research and development of technologies such as visual recognition, intelligent radar tracking and composite sensor data fusion, perfectly integrating Tongji University's innovative achievements in the field of artificial intelligence and the company's strong engineering capabilities, occupying an advanced position in the industry.
In the future, Shanghai Qnode will continue to uphold the spirit of rigor, innovation and pursuit of excellence, accelerate the transformation of innovative achievements, and help the green and intelligent development of rail transit!