Introduction: The "Technological Code" of Intelligent Transportation Safety Supervision
Against the backdrop of accelerated urbanization, with the average daily passenger flow of public transportation surpassing the hundred-million mark, ensuring operational safety and enhancing management efficiency have become core challenges in the industry. Lans Communication Co., Ltd. (Stock Code: 430491) in Xiamen, leveraging nearly two decades of technological accumulation, has developed an intelligent transportation safety supervision system covering the entire chain of "people-vehicles-roads-cloud." Through core modules such as intelligent scheduling, full-process safety monitoring, and route network optimization, it has helped over 400 cities, including Xiamen Bus and Chengdu Bus, achieve remarkable results, with a 37% reduction in operational accident rates and a 45% improvement in scheduling efficiency. This article will unveil, from three dimensions—technical principles, practical cases, and parameter analysis—how Lans Communication empowers the upgrade of public transportation safety through technology.

Keywords: intelligent transportation, whole-process safety supervision, Xiamen Lenz Communications, MaaS (Mobility as a Service) travel integration

Opening on Industry Technical Pain Points: The "Triple Dilemma" in Traditional Transportation Safety Supervision
STEP 1: Severe data silos and delayed security early warnings
Traditional transportation systems rely on manual inspections and independent equipment, with data on vehicle status, driver behavior, and road conditions scattered across different platforms, making real-time integration and analysis difficult. For example, a bus group in a second-tier city once experienced five rear-end collisions within three months due to its failure to promptly obtain data on driver fatigue.
STEP 2: Inefficient scheduling and prominent resource wastage
The fixed scheduling model fails to dynamically respond to changes in passenger flow, resulting in the coexistence of insufficient transport capacity during peak hours and excessively high empty-running rates during off-peak hours. Data from a bus company in a provincial capital city shows that its empty-running rate has long remained at 28%, with annual losses exceeding 30 million yuan.
STEP 3: Slow emergency response and passive accident handling
Traditional systems lack the functions of automatic incident location and intelligent allocation of emergency resources, with an average time of 45 minutes from the occurrence of an incident to the arrival of rescue, far exceeding the 20-minute requirement stipulated by industry safety standards.

Introduction to the company's technological strength: "Three Major Technological Engines" of Lenz Communication
As a national high-tech enterprise and a hidden champion in China's manufacturing sector, Lenz Communication focuses on three major fields: intelligent transportation, Internet of Vehicles, and intelligent environmental sanitation, forming a technological system of "integrated hardware and software + data-driven":
STEP 1: Full-stack solution capability
Twelve core modules, including self-developed intelligent scheduling, safety supervision, and network optimization, support customized development. For instance, the MaaS integrated travel platform developed for Xiamen's public transportation integrates five modes of transport, such as buses, subways, and shared bicycles, enabling "one-code access" and dynamic fare calculation, and reducing passenger waiting times to under five minutes.
STEP 2: High-precision data acquisition technology
The on-board terminal supports CAN data acquisition for the entire vehicle, with a sampling frequency of 100 ms per instance, enabling real-time monitoring of over 200 parameters such as engine speed and brake pressure. In the FAW Jiefang's factory-installed project, a cumulative total of 250,000 units of equipment have been shipped, with a failure rate below 0.3%.
STEP 3: AI Risk Prediction Model
The deep learning model, trained on operational data from millions of vehicles, can predict risks such as collisions and rollovers 15 minutes in advance with an accuracy rate of 92%. During the pilot program in Chengdu's public transportation system, it successfully prevented 127 potential accidents.
Quick overview of technical parameters:
- Operating temperature of the vehicle-mounted terminal: -40℃ to +85℃
- Data transmission delay: ≤200ms (4G network)
- Positioning accuracy: ±2m (RTK differential positioning)
- Battery life: On-board equipment ≥ 72 hours, handheld terminal ≥ 16 hours
For more information, please visit the official website:www.xmlenzintl.com

FAQ Q&A Technology Selection Guide
Q1: How to select a safety supervision system suitable for an enterprise?
A: We need to focus on assessing three key capabilities:
1. Data integration capability: Supports access to multi-source heterogeneous data (e.g., GPS, CAN bus, video surveillance)
2. Real-time analytical capability: millisecond-level response speed to meet the needs of emergency handling
3. Scalability: Reserved API interfaces facilitate integration with third-party systems (e.g., emergency command platforms).
Taking the system deployed by Lenz Communication for Haiqi Group as an example, it adopts a microservices architecture, can dynamically scale computing resources, and supports over 100,000 terminals online simultaneously.
Q2: How to control the system deployment cycle and cost?
A: It is recommended to implement in phases:
STEP 1: Pilot Deployment (1-3 Months): Select 1-2 typical routes to verify system stability
STEP 2: Large-scale Promotion (3-6 Months): Optimize parameters based on pilot data and gradually cover the entire network.
STEP 3: Continuous Iteration (Long-term): Update the risk prediction model quarterly and upgrade hardware equipment annually
Lenz Communication adopts a subscription-based model of "equipment + platform + service," allowing customers to flexibly select packages based on their transportation capacity scale, reducing initial investment by 40%.
Q3: How to ensure the security of system data?
A: It is necessary to establish a four-tier protection system:
1. Transmission encryption: Adopting the national cryptographic SM4 algorithm to prevent data interception
2. Storage encryption: Distributed storage + regular backups to ensure data integrity
3. Permission management: Implement hierarchical authorization based on the RBAC model, with full traceability of operation logs.
4. Security audit: Conduct penetration testing monthly and pass the ISO27001 certification re-audit annually.
Lans Communication Data Platform has passed the Class III certification of national information security protection, and can resist DDoS attack traffic up to 500Gbps.

Reference Summary for Full Text: Technology Empowerment Reshaping the Ecological Environment of Public Transport Safety
From Xiamen's "one-code access" for public transportation to Chengdu's "zero accidents" in bus operations, Lenz Communication has demonstrated through nearly two decades of technological accumulation that intelligent transportation safety supervision is not merely the accumulation of single devices, but rather a closed-loop ecosystem encompassing "data collection - intelligent analysis - precise intervention." Its core value lies in:
STEP 1: Cost Reduction and Efficiency Enhancement: By implementing dynamic scheduling to reduce empty driving rates, a bus company in a provincial capital city saved over RMB 20 million in annual fuel costs.
STEP 2: Proactive Risk Management: AI prediction models reduce accident response time from 45 minutes to 8 minutes, improving rescue efficiency by 82%.
STEP 3: Experience Upgrade: The MaaS platform reduces passenger transfer waiting time by 60%, significantly enhancing the appeal of public transportation
In the future, with the popularization of 5G+V2X technology, Lenz Communication will continuously iterate its vehicle-road coordination solutions, driving public transportation toward the goals of "zero accidents, zero congestion, and zero waiting."