To further implement the strategy of empowering public security through technology, deepen police-enterprise collaboration, and comprehensively enhance the new-quality combat effectiveness of public security traffic management departments, on the morning of June 29, the "Police-Enterprise Collaboration for Safety, Digital Intelligence Empowering People's Livelihood" Smart Traffic Management Co-Construction Experience Event was held at the Vehicle and Driver Management Brigade (Dunhuang Office) of the Jiuquan Municipal Public Security Bureau's Traffic Management Detachment. The event was hosted by the Traffic Management Corps of the Gansu Provincial Public Security Department and co-organized by the Jiuquan Municipal Public Security Bureau and Duolun Technology Co., Ltd. 

Zhang Yuhui, Chief of the Traffic Management Corps of the Gansu Provincial Public Security Department, attended the event and delivered an important address. The event was presided over by Deputy Chief Jia Ye. Leaders and key personnel in vehicle and driver management from traffic management detachments of Jiayuguan, Jinchang, Zhangye, and Wuwei Public Security Bureaus, as well as leaders from the Dunhuang Municipal Public Security Bureau and traffic management detachments and county-level public security bureaus across Jiuquan, participated in the event.

Building Consensus on Smart Traffic Management Development

During the event, Zhou Jianbin, the responsible leader of the Jiuquan Municipal Public Security Bureau, and Zhang Anqiang, Chairman of Duolun Technology Co., Ltd., delivered speeches. They noted that Jiuquan, as a key node on the Silk Road Economic Belt, faces long operating mileage and significant traffic management pressure. Both sides will take this event as an opportunity to deepen collaboration in breaking through police resource bottlenecks, improving governance efficiency, enhancing technological empowerment, and fostering talent exchange and development, jointly exploring new paths for modern public security traffic management.

Chief Zhang Yuhui delivered a keynote speech, fully affirming Duolun Technology's long-term contributions to the modernization of Gansu's public security traffic management, and put forward three clear requirements for deepening police-enterprise collaboration and advancing smart traffic management across the province:

1. Focus on digital intelligence empowerment and deepen "integrated integration."

2. Focus on practical application and achieve tangible results in "combining development with usage."

3. Focus on innovative development and set benchmarks in "governance innovation."

He expressed the hope that Jiuquan would take this co-construction as an opportunity, boldly explore AI application scenarios tailored to its complex road network and high transit traffic, strive to develop replicable "Jiuquan experience," and lead the way for smart traffic management across the province.

Demonstrating the Practical Effectiveness of Digital-Intelligent Traffic Management

During the event, all attendees conducted a centralized visit to Duolun Technology's series of smart traffic management innovative equipment, with on-site full-scenario practical application demonstrations. The demonstration covered core self-developed products including the Intelligent Guidance Robot, Motor Vehicle Inspection Robot, Traffic Command Robot, and AI Integrated Management Unit (Allspark). Among them, Allspark integrates technologies such as OCR, RPA, human posture recognition, and intelligent voice to build a comprehensive intelligent supervision system for vehicle and driver management, precisely addressing issues such as police resource shortages and regulatory difficulties. Through automated verification and intelligent proctoring, it ensures fair and standardized business processing and driver examinations.

Leveraging over three decades of industry experience, Duolun Technology deeply integrates cutting-edge technologies including AI large models, machine vision, and embodied intelligence into traffic management business scenarios. These intelligent equipment solutions address industry pain points such as uneven service efficiency, inconsistent manual inspection standards, insufficient police control, and examination judgment errors. Through human-machine collaborative operation models, they simplify processes, standardize criteria, and ensure full-process traceability, comprehensively improving the standardization of traffic management services, the normalization of law enforcement, and the intelligence of governance. 

This complete equipment matrix forms a full-stack smart traffic management solution, providing solid technical support for grassroots traffic management departments to build a new "professional + mechanism + big data" police operation model, and visually demonstrating the practical effectiveness of digital-intelligent technology in enabling road traffic governance.

Building a New Landscape for Gansu's Traffic Management Modernization

This Smart Traffic Management Co-Construction Experience Event represents both an important practice for Gansu's public security traffic management departments to deeply implement the strategy of empowering public security through technology and advance proactive and preventive policing, and a new starting point for deepening Duolun Technology's long-term strategic cooperation with the Gansu traffic management system.

Looking ahead, Duolun Technology will continue to deepen the normalized police-enterprise collaboration mechanism, leverage core technologies to continuously expand innovative application scenarios for smart traffic management, and assist Gansu's public security traffic management departments in continuously reducing road safety hazards, improving government service quality and efficiency, and innovating traffic governance models. The company is committed to safeguarding the safety of Silk Road transportation through hardcore digital technology. At the same time, Duolun Technology will continue to deepen its presence in the national smart transportation market, consolidate its technological R&D capabilities, and empower the modernization of national road traffic governance through digital intelligence innovation.