深圳市聚焦预防城排水管网破损等引起城市道路塌陷重大安全事故，携手国家安全科学与工程研究院、中国矿业大学（北京）率先建成“城市道路及排水管网安全监测系统”，利用多频车载探地雷达技术，集成大数据、云计算、5G人工智能等技术，对高风险和人口密集区域的城市道路和给排水等城市生命线进行实时探测和监测，建立“探测—定位—解释—预警”的城市道路与排水管网安全运行与管控精细化治理创新模式，实现风险快速精准定位、及时预警处理防范。
深圳市福田区给排水网管总里程为1400公里，经过两个月的精准排查，共发现险情36处，其中发现3处大型地下隐伏病害体规模达到65㎡。利用车载多频探地雷达技术，将全区地下管网事故发生率下降60%、风险排查效率提高70%。大大提高了道路安全风险处置能力，为保障城市道路和排水管网安全做出了积极贡献。
道路地下病害检测车
管道病害探测机器人
Shenzhen focused on preventing major safety accidents caused by urban road collapse due to damage of urban drainage pipe network, and joined hands with the National Academy of safety science and engineering China University of mining and Technology (Beijing) took the lead in building the "urban road and drainage network safety monitoring system", using multi frequency on-board ground penetrating radar technology and integrating big data, cloud computing, 5g artificial intelligence and other technologies to carry out real-time detection and monitoring of urban roads, water supply and drainage and other urban lifelines in high-risk and densely populated areas, and establish "detection positioning interpretation early warning" The new urban road and drainage pipe network safe operation and management and control fine governance innovation mode, so as to realize rapid and accurate risk positioning, timely early warning, treatment and prevention.
The total mileage of water supply and drainage network management in Futian District of Shenzhen is 1400km. After two months of accurate investigation, 36 dangerous situations were found, including 3 large underground hidden diseases, with a scale of 65 m2. Using vehicle mounted multi frequency ground penetrating radar technology, the accident rate of underground pipe network in the whole region was reduced by 60% and the risk investigation efficiency was improved by 70%. It has greatly improved the ability to deal with road safety risks and made positive contributions to ensuring the safety of urban roads and drainage networks.
Road underground disease detection vehicle
Pipeline disease detection robot
