Company News

Part 01 Industry Pain Points｜Traditional Bogie Transfer Restricts Workshop Capacity Upgrading

In railway vehicle manufacturing and maintenance workshops, bogie transfer is a key process connecting assembly, testing, buffering and sequence transferring, which directly affects the efficiency of the entire production line.

Traditional manual pushing or ordinary traction methods have many drawbacks: high labor intensity, low station alignment efficiency, high safety risks in mixed human-vehicle operation, and insufficient coordination with automated production lines. These issues restrict the digital and intelligent upgrading of workshops.

Part 02 Product Innovation｜Customized Intelligent Transfer Solution for Railway Scenarios

For railway vehicle maintenance depots, new manufacturing plants, and bogie production & maintenance workshops, Beijing Jingqin Xiechuang launches the Intelligent Tractor for Bogie Transfer. It provides a more flexible, safe and efficient intelligent solution for heavy-duty bogie transfer.

Part 03 Core Advantages｜Four Core Highlights for All-round Operation Upgrade

1.Low entry design, adaptable to the space under bogies

The equipment adopts a low-profile body, which can enter the space under bogies to push and transfer bogies and wheelsets between track stations.

2.High traction force, suitable for multi-bogie traction

With strong traction capacity, the equipment meets the requirements of continuous multi-bogie traction, applicable to bogie maintenance, manufacturing, testing, buffering and sequence transferring.

3.Dual-mode operation: remote manual / PLC automatic

The productsupports free switching between automatic and manual modesto adapt to different operation needs:

Manual mode: Operators can control forward, backward, steering, start/stop and fine positioning via remote control, with intuitive and convenient operation.

Automatic mode: Cooperating with PLC control system, the equipment can collaborate with on-site testing devices, robot units, safety doors and station sensors to realize automatic entry, precise parking, operation waiting and automatic exit.

4.Comprehensive safety protection: obstacle avoidance alarm / anti-collision emergency stop

For the complex operation environment of railway vehicle workshops, the equipment is equipped with multiple safety protection measures including laser obstacle avoidance, sound-light alarm, anti-collision protection and emergency stop control. It improves transfer efficiency while effectively reducing on-site manual operation risks.

Part 04 Value Realization｜Empowering Workshop to Become Less-manned and Digital

The application of Intelligent Tractor for Bogie Transfer reduces manual handling and auxiliary traction workload, stabilizes transfer takt time, enhances coordination between production lines, maintenance lines and intelligent testing lines, and strongly supports the digital, intelligent and less-manned upgrading of railway vehicle manufacturing and maintenance.

Part 05 Applicable Scenarios｜Full-scenario Adaptation for Railway Workshops

1.Railway vehicle maintenance depots

2.Railway vehicle new manufacturing plants

3.Bogie new manufacturing workshops

4.Bogie maintenance workshops

5.Intelligent testing lines

6.Bogie buffering and sequence transferring stations

Conclusion

Beijing Jingqin Xiechuang will continue to focus on on-site needs of railway vehicle manufacturing and maintenance, promote the intellectualization of special equipment, coordination of operation processes and high-efficiency of workshop logistics, and provide customers with more reliable and practical intelligent equipment solutions.

In the manufacturing and maintenance of railway freight cars, bogie quality has always been the core concern on site.

Figure 1 Bogie Intelligent Inspection Site

Traditional inspection methods mainly rely on manual visual inspection, empirical judgment and paper records, and have long faced three major pain points:

1、Limited efficiency – contradiction between inspection speed and quality

2、Difficult to ensure consistency – results easily affected by personnel experience and status

3、Inconvenient traceability – scattered paper records, time-consuming and laborious problem tracing

To meet this practical demand, our company has independently developed an intelligent inspection system and quality analysis platform for bogie completion acceptance, realizing integrated applications such as automatic judgment of inspection results, real-time data display, and correlation analysis of quality information.

At present, the project has been successfully implemented in two typical scenarios: CRRC Qiqihar Rolling Stock Works – representing new car manufacturing, successfully implemented and running stably; Wuxi Rolling Stock Depot of Urumqi Railway Bureau – representing maintenance scenario, deployed and put into use.

Figure 2 Overall Scene of Bogie Intelligent Inspection Station (Maintenance Scene, Cycle Time Within 3 Minutes)

一、Focusing on Final Delivery Inspection, Improving Testing Efficiency and Consistency

The system meets the key business needs of bogie completion inspection, can automatically identify and assist in judging key on-site inspection items, and comprehensively improve the standardization, intuitiveness and consistency of inspection work.

Core Capabilities：

1、Bogie completion wrong/missing assembly identification

2、Identification information recognition and association

3、Automatic judgment of key dimension inspection

4、Real-time display of inspection results for quick on-site re-inspection

二、Digital Accumulation and Application ， From Detected to Utilized

This project not only focuses on 'detection', but also on 'application'.Based on on-site inspection, the platform further conducts unified management and correlation analysis of relevant quality data, and gradually forms data support capabilities for production and maintenance services.

Through continuous accumulation and analysis, the platform can provide a more intuitive basis for quality problem troubleshooting, process improvement and trend judgment, promoting bogie quality management from empirical judgment to data support.

"The project has inspected nearly 4,000 bogies in total, with a daily inspection volume of more than 50 at a single point, stable operation and obvious on-site application effects."

三、Real-time Analysis and Display , Support Quick On-site Re-inspection

An outstanding feature of this project is the realization of real-time display of inspection results and real-time data analysis.During inspection, relevant results are displayed synchronously on the on-site interface. Operators and inspectors can grasp the status, quickly confirm abnormal items, and efficiently conduct on-site re-inspection, forming a closed-loop mechanism of 'inspection-feedback-disposal'.

四、Dual-scenario Verification – Full Implementation in New Car Manufacturing and Maintenance

The smooth implementation of the two typical scenarios fully verifies the adaptability and reliability of the solution in different business environments, and lays a solid foundation for subsequent large-scale promotion in the industry.

Conclusion：

From manual inspection to intelligent collaboration, from result recording to data application, railway freight car bogie quality management is moving towards a more efficient, intuitive and traceable new stage.The implementation of this project is not only an optimization of inspection methods, but also a systematic upgrade of on-site quality management mode.

"Make inspection more efficient, data more intuitive, and quality management more proactive"

Beijing, June 10, 2025 - Jingqin Xiechuang Technology Development Co., Ltd. has made significant progress in the application of artificial intelligence in railway vehicle manufacturing and maintenance with the successful development of its proprietary JQ-AI industry agent. This intelligent system autonomously learns from data sources and industry knowledge bases, performing data correlation and deep analysis to deliver actionable insights for the rail industry.

The JQ-AI powered digital maintenance platform covers key components such as wheelsets and bogies, along with comprehensive vehicle inspection, quality traceability, and predictive maintenance. By integrating computer vision, machine learning, and big data analytics, the platform enables digital transformation and intelligent optimization of manufacturing and maintenance processes.

The AI agent is currently undergoing practical application and training at CRRC facilities and China State Railway depots. With continued industry data training, the system is expected to mature and stabilize, achieving its full potential in optimizing rail operations.

This breakthrough represents a significant step forward in Jingqin Xiechuang's "JQ-AI for Rail" strategy. The company plans to implement AI solutions across China's rail transit industry over the next three years, driving digital advancement in the sector.