Four-wheel-driven all-weather driverless patrol car system

Abstract

The invention discloses a four-wheel-driven all-weather driverless patrol car system. The patrol car system comprises a patrol car body and a control system; the patrol car body is provided with a front pair of driving wheels and a rear pair of driving wheels, wherein the four driving wheels are driven by four direct-current motors respectively; each direct-current motor is connected with a planetary reducer; each of a first front environment detection and protection system and a first rear environment detection and protection system in the control system is mainly composed of a first single-laser radar, a second single-laser radar and a CCD camera; each of a second front environment detection and protection system and a second rear environment detection and protection system is mainly composed of two microwave radars; each of a front blind area detection and obstacle avoidance system and a rear blind area detection and obstacle avoidance system is composed of three ultrasonic sensors;the single-laser radars, the microwave radars, the CCD cameras, a wireless communication module and an auxiliary controller are all connected with a main controller; and the ultrasonic sensors and amotor driver are all connected with the auxiliary controller, and the motor driver is connected with the four direct-current motors respectively. The system is high in stability, reliability and costperformance, high in arithmetic processing speed, high in flexibility and capable of effectively coping with severe weather.

Description

technical field [0001] The invention belongs to the technical field of unmanned driving, and in particular relates to a four-wheel drive all-weather unmanned patrol car system. Background technique [0002] With the acceleration of modernization, the number and scale of supermarkets, large docks, international airports, various exhibition centers, large logistics warehouses, high-end hotels, hospitals and other places are increasing, and various large living quarters and activity places are increasing day by day. Human activities and logistics and transportation have become more complex, requiring a lot of manpower, material resources and security resources to ensure the safe operation of this system. The current security technology is mainly based on human patrol and CCD camera positioning monitoring. These two methods can no longer meet the security needs of the existing large-scale and complex environments. The security patrol automation system that uses security robots i...

AI Technical Summary

Problems solved by technology

[0007] (1) Due to the influence of the characteristics of the DC motor itself, the volume and weight of the DC motor are relatively large, which is not conducive to the improvement of the dynamic performance of the unmanned patrol car

[0008] (2) The sliding contact between the brushes of the DC motor and the commutator causes mechanical wear and sparks, resulting in many faults, low reliability, short life and heavy maintenance workload of the DC motor

[0009] (3) Due to the large length of the DC motor of the patrol car, the unmanned patrol car with a traditional mechanical structure has a large width and cannot pass through some narrow spaces

[0010] (4) The DC motors of existing unmanned patrol vehicles are directly mechanically connected to the driving wheels, and the speed regulation is completed by adjusting the voltage of the DC motors through the controller. Although the requirements for walking speed are met, the driving of the entire unmanned patrol vehicle The torque of the car is small, and the ability to adapt to rough outdoor conditions is poor

[0011] (5) The existing unmanned patrol vehicles all use low-level single-chip microcomputer chips, and the operating frequency is low, only tens of megahertz, which cannot satisfy the control of unmanned patrol vehicles on various complex environmental disturbances, which is likely to cause unmanned driving. patrol car out of control

[0012] (6) Affected by the performance of the PC of the unmanned patrol car, the data collected by the environmental detection sensor of the unmanned patrol car cannot be quickly calculated and stored, which affects the judgment of the unmanned patrol car on the surrounding environment

[0013] (7) Affected by the performance of the PC of the unmanned patrol car, the image acquisition data of the CCD sensor of the unmanned patrol car cannot be quickly analyzed and calculated in real time, and the total station can only find problems in the patrol by analyzing the stored image data

[0018] (12) The control system based on the single-chip microcomputer cannot quickly complete the fast servo adjustment of the two-axis DC motor, which increases the adjustment time of the attitude of the unmanned patrol car, and the unmanned patrol car cannot walk quickly

[0019] (13) The lower-level computer control system based on the single-chip microcomputer needs to complete part of the post-transmission tasks of image acquisition and processing through the wireless system. Due to the influence of its own capabilities, the transmission time is long, resulting in the unmanned vehicle being unable to move quickly.

[0020] (14) The two-wheel drive unmanned patrol car has only two power points. Although it can better complete the patrol task on a flat indoor road, once it encounters a rough outdoor road, it will often slip a power wheel. , causing the unmanned patrol car to lose control

[0021] (15) The two-wheel drive unmanned patrol car generally meets the power requirements by overloading the motor when climbing a slope, but once it encounters complex conditions and needs to run for a long time, it will damage the performance of the motor and cause the entire unmanned patrol car system The reliability of the

[0022] (16) The unmanned patrol car needs to accelerate rapidly and run at a higher speed in many emergency situations. Under such conditions, the power required by the system is relatively large, and the motor power that meets normal driving cannot meet the long-term acceleration requirements of the system. As a result, the adaptability of the entire unmanned patrol car system is greatly reduced

[0023] (17) Existing unmanned patrol cars use forward navigation sensors to detect the environment. When encountering a dead end, they can only turn around by rotating 180 degrees on the spot. When encountering a narrow space, The unmanned patrol car will not be able to make a U-turn, resulting in the failure of the patrol mission

[0024] (18) Lidar is very sensitive to rainy and foggy weather, and rain and fog can absorb Lidar very strongly. Therefore, in rainy and foggy weather, the performance of Lidar will be greatly reduced, which will cause a greater impact on the safety of unmanned patrol vehicles. influences

[0025] (19) The lidar is very sensitive to the environment with smog, and the smoke absorbs the lidar very badly. Therefore, under the working condition of smog, the performance of the lidar will be greatly reduced, which will cause a greater impact on the safety of the unmanned patrol car. influences

[0026] (20) The lidar is very sensitive to dusty environments, and dust absorbs the lidar very strongly. Therefore, under dusty conditions, the performance of the lidar will be greatly reduced, which will cause a greater impact on the safety of the unmanned patrol car. influences

[0027] (21) The lidar is very sensitive to the weather with strong light. Sometimes the strong sunlight can greatly reduce the performance of the lidar, and sometimes there is no signal output, which has a greater impact on the safety of the unmanned patrol car.

Images