Your current location: home > Exhibition Hall Online Venue Layout N1 Chongqing Jiaotong University
Composite hydrofossil micro-disturbance ecological anti-seepage blanket technology for dam leakage hazard remediation
In view of the practical problems of complex dam seepage and failure mechanism, great difficulty in detecting leakage passages, and lack of targeted eco-friendly leakage hazard remediation technology, a multi-source collaborative detection technology system for dam leakage hazard range identification, accurate quantification of leakage amount, high-resolution characterization of leakage passages, and potential leakage risk assessment, monitoring and early warning is constructed, and a composite hydrofossil micro-disturbance ecological anti-seepage blanket technology for dam leakage hazard remediation is developed. The related technology has been successfully applied to the leakage detection, monitoring and repair projects of 29 dams including the Pearl River levee in Guangdong and Shimantan reservoir in Henan, creating a direct economic benefit of RMB 290 million.
Omni-directional U-shaped encircling water rescue robot
In view of the frequent occurrence of safety accidents such as drowning at sea and inland waters, the team has designed an omni-directional U-shaped encircling water rescue robot. By studying the characteristics of small waterplane area twin hulls, the advantages of twin hulls such as stability, small resistance on small waterplane, and high speed are brought into full play, rapid search and rescue missions in terrible ocean environment is allowed, and the pain points of high rescue cost, slow speed and high risk of traditional water rescue equipment are solved. The team possesses key patented technologies and sustainable R&D capabilities in the field of water rescue equipment. It has applied for utility model patents and design patents, published relevant papers, and been recognized by many technology companies for production and application. The team focuses on the needs of social services and urban governance for a safe environment, adheres to technological innovation to achieve high mobility and high autonomy in rescue, is committed to maintaining a safe and comfortable urban and lake environment, and makes contributions to the economic development, livelihood services and social undertakings of the international community.
3D target recognition method based on binary local features
Model experimental measurement technology is the key means to evaluate the navigation conditions of inland rivers. Although it has made certain progress in recent years, there are still some problems such as weak resolution, low precision and poor reliability in solving difficulties in inland rivers including complex shoals, meandering rivers, high mountains and valleys. To this end, this exhibit proposes a 3D target recognition method based on binary local features, develops a ship model tracking algorithm based on memristor convolutional neural network, proposes a self-calibration ultrasonic water level measurement method, optimizes the photoelectric propeller structure, and finally realizes multi-resolution measurement of surface flow field, millimeter-level tracking of ship model trajectory, 0.1mm-level measurement accuracy of water level, and highly reliable flow rate sensors. This research result has been appraised by China Institute of Navigation as reaching the international advanced level, and have been promoted to 7 scientific research institutes in China, and successfully applied to more than 200 inland waterway consulting and demonstration projects, with significant economic benefits, ensuring the smooth implementation of national high-level waterway projects, increasing the water transport freight volume, and producing huge social benefits.
Integrated cloud-edge-end collaborative inspection technology and method based on cloud-edge super collaboration and edge-end strong interaction
Integrated cloud-edge-end collaborative inspection technology and method based on cloud-edge super collaboration and edge-end strong interaction are proposed for the first time. Through AI super fusion of infrared, visible light, laser radar and ultrasonic sensors, the big data decision-making problem of multi-source collaborative perception is broken through, and daily inspection and emergency rescue can be carried out on pre-laid tracks for tunnel structural diseases (cracks, leaks, etc.), electromechanical systems (fans, lighting, firefighting, etc.) and traffic operations (traffic accidents, abnormal driving behavior, fire, illegal parking, etc.) and other safety conditions. The project applied inspection robot technology to tunnel inspection for the first time, breaking through the accurate identification and real-time warning technology for multiple targets under high-speed moving state. The inspection robot has been applied to Liupanshan tunnel on Qingdao-Lanzhou Expressway in Ningxia, Xiaoying tunnel on Fengjie-Jianshi Expressway in Chongqing, and Shankou tunnel on Guilin-Liuzhou Expressway in Guangxi. Especially, as both sides of Liupanshan tunnel in Ningxia Hui Autonomous Region are 18 kilometers long, four robots are connected to the grid for more than 16 months. The core technology has been tested and improved, and the application effect has been unanimously recognized by users and filled the gaps in the industry.
Hexapod wall-climbing robot
There is a strong demand for traffic infrastructure detection in China. The overall structure of bridges, tunnels and culverts is complex, the space spans are large, and the operating environment is bad, resulting in difficult detection. The project designed a structure according to the bionic principle, and then designed a hexapod wall-climbing robot. The project studied the robot kinematics and dynamics, and designed a suction system and a sensing system, which solved the problem that traditional robots are difficult to carry large loads, and better met the needs of bridge detection. The project has been applied in the regular inspection of several bridges including E’dong Yangtze River Bridge and Waihuan Jiangjing Yangtze River Bridge in Chongqing. It can accurately capture common diseases such as tiny cracks, exposed reinforcement and damage of bridges. The results can be extended to such application scenarios as bridges, tunnels, overpasses, dams and high-rise buildings in mountainous cities. The project results have broken through the technical barriers of intelligent close detection in the field of bridge detection, improved the intelligent level of large-span and high-drop bridge detection, and promoted the construction of a strong transportation network in China.
Functional assembly production process meeting ecological requirements
Focusing on the problems of huge stock of phosphogypsum, desulfurized ash and waste soil in Chongqing and relatively low resource utilization rate, and the existence of certain risks to environmental safety and human health due to pollutants such as heavy metals contained therein, the project proposes a functional assembly production process meeting ecological requirements, develops a set of integrated production equipment for functional assembly aerated plates ecologically with large amount of phosphogypsum-based solid waste, and establishes a heavy metal environmental safety assessment and release control model to ensure the safety of heavy metals in products to the environment and human health. The overall level has reached the international advanced level, and the technical level of stomatal connectivity integration and bubble control has reached the international leading level. The project has resulted in a 200,000 m3/year demonstration application device for autoclaved aerated concrete slabs, which has an annual consumption of solid waste (phosphogypsum, desulfurization ash, waste soil, etc.) of 100,000 tons. This series of products have been used in a number of major energy-saving construction projects by enterprises including The Second Construction Co., Ltd. of China Construction First Group.
Polyurethane thermal reflective coating (PURC) with phase change and reflection functions
In order to tackle high temperature diseases of asphalt pavement and worsening urban heat island effect, a polyurethane thermal reflective coating (PURC) with phase change and reflection functions is developed and applied to asphalt pavement. The phase transformation of resin and high reflectivity of filler are used to realize synergistic cooling, and the soft hard segment structure of polyurethane is used to improve the wear resistance of the coating. The technology has been applied to an area of 30,000 m2 in Chongqing, Jiangxi and other places. It reduces the temperature of asphalt pavement by 15℃ in hot summer, reduces rutting diseases, prolongs the service life of roads, alleviates urban heat island effect, improves the living environment, and creates good social, economic and environmental benefits.
Crystallization blocking mechanism of tunnel drainage system rich in Ca2+, Mg2+ and HCO3- in groundwater in hard water environment
In view of the engineering pain points and difficulties such as unclear formation mechanism of tunnel hard water environment, unclear crystallization adsorption and blocking mechanism of drainage system, and lack of crystallization blocking prevention technology, the crystallization blocking mechanism of tunnel drainage system rich in Ca2+, Mg2+ and HCO3- in groundwater in hard water environment is proved by means of field investigation, model test, theoretical analysis, numerical simulation, and field test, and a variety of drainage pipe anti-crystallization technologies such as electrical, magnetic, coating and flocking methods have been developed, so as to effectively solve pipe blocking by crystalline in tunnel drainage system in hard water environment, and fill the gap in the active prevention technology of pipe blocking by crystalline in tunnel drainage system. The research results have been widely applied to tunnel construction, reconstruction and expansion projects in Chongqing, Sichuan, Guizhou, Guangdong and Guangxi, and have achieved good crystallization and pipe blocking prevention effects, providing guarantees for the smooth working of tunnel drainage systems and creating great economic and social benefits.
Long tunnel traffic operation monitoring, early warning and control system
In view of tunnel traffic congestion, frequent safety accidents and other problems, by using video AI identification, digital twin and other technologies, a "long tunnel traffic operation monitoring, early warning and control system" integrating real-time monitoring, traffic warning and control plan functions is developed to realize accurate perception, accurate analysis, fine management and meticulous service of smart tunnels. Highlights Real-time detection of tunnel side-mounted video traffic flow parameters based on deep learning: lane-level traffic flow parameter detection accuracy ≥97% Tunnel visualization and traffic flow digital twin based on 3D high-precision map: realize 3D high-precision modeling of full-volume traffic facilities and equipment, and support 3D digital twin of decimeter-level trajectory and sub-second traffic flow Controlling by multi-scene segmented warning plan based on real-time/predicted traffic flow parameters: according to different tunnel scenarios and in combination with tunnel alignment combination, multi-level and multi-section congestion warning criteria and plans are developed to realize integrated collaborative management and control Comprehensive operation and management based on all elements, all scenarios and whole process of tunnel: based on intelligent basic sensing devices, the whole-process comprehensive operation and management in all scenarios is realized for daily actual operations Improvement of traffic safety level and service capacity based on integrated tunnel management: in the first year of operation, accidents decreased by 38%, and peak traffic flow increased by 8% during peak hours.
Smart toilet
This result automatically detects and AI analyzes relevant human health indicators when a user uses it, solves the pain points and difficulties of human health data collection and management, and breaks through the challenge of collecting and managing human health indicators through intelligent toilets. The technical advantages are: ① there is no need to cultivate user habits, and the detection process is integrated into daily life; ② AI automatic detection without manual operation is realized; and ③ the detection functions are diversified, integrating body fat examination, urine examination, stool examination, urine flow rate, and pregnancy index examination. At present, this result has been granted more than 30 intellectual property rights, is the only fully automatic health detection intelligent toilet in the world that realizes mass production, and is the gospel of the elderly, pregnant women, obese groups, and chronic disease groups.
Case presentation


In view of the actual characteristics of mountain roads with many sharp turns, steep slopes and curve and slope combined sections, adjacent to water and cliffs, and frequent disastrous weather, focusing on pain points and difficulties such as poor visual distance, rain and fog weather, low visibility at night, insufficient monitoring of escape lanes, normal icing and freezing in winter, frequent crosswind at valley passes, frequent damage to guardrails, and slippery pavement at high-risk points, a series of intelligent sensing, monitoring, early warning, alarm technologies and equipment have been developed and granted relevant patents. Most of the technologies and equipment have been applied and promoted, and have produced good results, providing new ideas and solutions to some traditional pain points and difficulties faced by mountain road traffic accident prevention and control and traffic safety protection. In order to better serve the prevention and control of road traffic accidents in complex environment in mountainous areas, build smooth, safe, comfortable and beautiful roads, and guide the safety reconstruction of sections prone to accidents and with high driving risks, some typical technologies with good effect and ability to solve practical problems are summarized, so as to better popularize and apply them, adapt to the needs of traffic development in the new era, and further improve the level of road traffic safety and service quality in mountainous areas in China, and improve the level of intelligent management and control.

The research results have been popularized and applied to 235 sets on 178 road sections with hidden dangers in 12 provinces, autonomous regions and municipalities, significantly reducing road traffic accidents (with an average reduction rate of 78.4%, and 0 accidents on local road sections), realizing no traffic accidents with casualties, shortening the response time of cross-department rescue from at least 30 minutes to less than 5 minutes, and greatly improving the survival probability of seriously injured people in accidents.

The products developed by the team include 12 intelligent early warning systems for intelligent traffic equipment and one integrated intelligent traffic safety management and decision-making platform, specifically, including an expressway fog induction system, a driving warning system for sections with poor sight distance, an emergency lane monitoring and alarm system, a safety guarantee warning system for driving in rain and fog and at night, a wave guardrail collision sensing alarm system, a road icing and freezing monitoring and alarm system, a roadside crosswind monitoring and alarm system, a binocular guidance warning anti-fatigue system, a radar microwave electronic fence warning system, a tunnel entrance/exit warning system, a traffic diversion multifunctional robot system, a cooling-type colored anti-skid pavement, and an integrated intelligent traffic safety management and decision-making platform.