A device for detecting a driving axle of a vehicle
Patent Information
- Application Number
- CN202521910446.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2025-09-05
- Publication Date
- 2026-09-08
- Estimated Expiration
- 2035-09-05
AI Technical Summary
[0004]本实用新型的目的在于提供一种检测汽车驱动轴设备,旨在解决现有技术中且若车辆在通过设备时车速变化的情况下更加无法保证准确率的问题
1、本方案中,能保证车速过快或者车辆在通过设备的过程中进行车速变化时,LMO激光雷达仍然能准确扫描车辆的拆并轴数据。
Smart Images

Figure CN224732177U_ABST
Abstract
Description
Technical Field
[0001] This utility model belongs to the field of automotive testing technology, specifically relating to a device for testing automotive drive shafts. Background Technology
[0002] In existing technologies, drive axle identifiers integrate two LiDAR devices, which can simultaneously replace traditional grating vehicle separators and wheel axle identifiers. Based on the Time-of-Flight (TOF) principle, it actively scans the vehicle's shape and wheel axles from a direction perpendicular to the vehicle's travel direction to obtain real-time cross-sectional data, determining the vehicle's presence, departure, axle type, and axle separation / merging patterns.
[0003] However, the accuracy of single radar equipment in judging axle separation and parallel axle connection is slightly lower. This is because when the vehicle speed is too high, the frame rate is too low, which may cause the original axle separation to be judged as parallel axle connection. Furthermore, the accuracy is even less guaranteed if the vehicle speed changes when passing the equipment. When the installation position height changes, the height of the radar equipment needs to be adjusted. Utility Model Content
[0004] The purpose of this invention is to provide a device for detecting automotive drive shafts, aiming to solve the problem that the accuracy of the device cannot be guaranteed when the vehicle speed changes as it passes the device.
[0005] To achieve the above objectives, this utility model provides the following technical solution: A device for testing automotive drive shafts, comprising: Protective shield; LSD lidar, which is installed inside a protective cover, is used to acquire real-time vertical cross-sectional data of the vehicle's shape and wheel axle. The LMO lidar, housed within a protective cover, is used to acquire real-time oblique horizontal cross-sectional data of the vehicle's shape and wheel axles. A power supply, located inside the protective cover, provides power to the LSD and LMO lidars; An industrial control computer, located on one inner wall of the protective cover, collects and analyzes data from two lidars to determine the presence, departure, axle type, and axle splitting / merging configuration of the vehicle. A switch, located on the inner wall of one side of the protective cover, is used to transmit processed data to the integrated terminal; by combining data provided by two vertically and obliquely mounted lidar units, the accuracy of judging vehicle axle separation and rejoining during speed changes is improved. As a preferred embodiment of this invention, the LSD and LMO lidars can still scan key information completely without adjusting the radar altitude within a certain range of height variations.
[0006] As a preferred embodiment of this utility model, the industrial control computer analyzes the information of the tire contact points, accurately calculates the distance between the shafts, and provides information on shaft separation and merging.
[0007] In a preferred embodiment of this invention, the LSD lidar and LMO lidar are connected to an external central control system.
[0008] As a preferred embodiment of this utility model, the protective cover is made of waterproof, dustproof, and vibration-resistant metal or high-strength engineering plastic shell, and its base is provided with an adjustable mounting bracket for finely adjusting the tilt angle of the LMO lidar without changing the position of the lidar body.
[0009] As a preferred embodiment of this utility model, the LSD lidar and LMO lidar are lidars based on TOF ranging, used to realize real-time scanning and data acquisition of vehicle shape and wheel axle position.
[0010] Compared with the prior art, the beneficial effects of this utility model are: 1. In this solution, the LMO lidar can still accurately scan the vehicle's axle separation data even when the vehicle speed is too high or the vehicle speed changes while passing through the equipment.
[0011] 2. In this solution, the oblique radar can still perfectly scan and accurately calculate the split-axis data information when installed at different heights. Attached Figure Description
[0012] The accompanying drawings are provided to further illustrate the present invention and form part of the specification. They are used together with the embodiments of the present invention to explain the present invention, but do not constitute a limitation thereof. In the drawings: Figure 1 This is a three-dimensional structural view of the present invention; Figure 2 This is a first structural sectional view of the present invention; Figure 3 This is a second structural cross-sectional view of the present invention.
[0013] In the diagram: 1. LSD lidar; 2. LMO lidar; 3. Protective cover; 4. Power supply; 5. Industrial computer; 6. Switch. Detailed Implementation
[0014] The technical solutions of the present utility model will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of the present utility model, and not all embodiments. Based on the embodiments of the present utility model, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the protection scope of the present utility model.
[0015] Example 1 Please see Figure 1-3 The present invention provides the following technical solution: A device for testing automotive drive shafts, comprising: Protective shield 3; LSD LiDAR 1, which is installed inside the protective cover 3, is used to acquire real-time vertical cross-sectional data of the vehicle's shape and wheel axle. LMO lidar 2, which is installed inside the protective cover 3, is used to acquire real-time oblique horizontal cross-sectional data of the vehicle's shape and wheel axle. Power supply 4, located inside the protective cover 3, provides power to LSD lidar 1 and LMO lidar 2; Industrial control computer 5 is located on one side of the inner wall of protective cover 3 to collect and analyze data from two lidars to determine the presence, departure, axle type, and axle splitting / merging configuration of the vehicle. Switch 6, located on the inner wall of one side of the protective cover 3, is used to transmit processed data to the integrated terminal; by combining the data provided by two vertically and obliquely installed lidars, the accuracy of judging vehicle axle separation when vehicle speed changes is improved.
[0016] In a specific embodiment of this utility model, the device is integrally integrated and installed on a pillar on the side of the lane or in the central median strip. Its core components are all encapsulated within a sealed protective cover 3. The protective cover 3 uses a metal or high-strength engineering plastic shell with an IP67 or higher protection rating, effectively resisting outdoor rain, dust, and vibration interference. Inside the protective cover 3 are an LSD lidar 1 and an LMO lidar 2. The LSD lidar 1 is fixedly installed perpendicular to the ground and is used to continuously scan the vertical plane of a moving vehicle, acquiring real-time vertical cross-sectional profile data of the tire-ground contact point and the positions of each axle. LMO LiDAR 2 is installed at an angle of approximately 45° to perform a linear horizontal scan of the vehicle from a slightly above angle, obtaining spatial distribution information of the wheel axles from this angle. Both LiDARs operate based on the TOF (Time-of-Flight) ranging principle, possessing high-frequency response capabilities and continuously outputting high-density point cloud data when the vehicle passes at different speeds from 5 km / h to 80 km / h. Power supply 4 is built into the protective housing 3, providing stable DC power to the two LiDARs and their internal circuitry. Industrial control computer 5 is installed on the inner wall of the protective housing 3, receiving raw data synchronously collected by LSD LiDAR 1 and LMO LiDAR 2 in real time. First, the changes in tire contact points detected by LSD LiDAR 1 are used to determine the vehicle's entry and exit from the area, and to initially identify the number and type of axles. Then, combined with the oblique cross-sectional data provided by LMO LiDAR 2, the actual distance between adjacent axles is calculated using an algorithm. Because LMO LiDAR 2 has an oblique field of view, even when the number of sampling frames per radar is insufficient due to the rapid passage of vehicles, it can increase the probability of capturing inter-axle features through its oblique scanning path, effectively distinguishing between the originally easily confused axle separation and axle merging states. For example, when the distance between two axles is close and the vehicle speed is high, the vertical radar may misjudge it as a single axle due to the large sampling interval, but the oblique radar, due to its scanning direction... The presence of an angle with the driving direction increases the actual equivalent sampling rate, thus preserving the characteristic information of two independent axles. The industrial control computer 5 integrates and analyzes the two data streams to accurately determine the axle configuration. The processing results are then uploaded to the toll collection system or weighing management terminal via Ethernet or RS485 interface through the switch 6, achieving automated vehicle axle type identification and data integration. This dual-radar collaborative mechanism enables the equipment to maintain high identification accuracy even when the vehicle is changing speed or the installation height has a certain deviation. It solves the technical problem of poor stability of traditional single-radar systems under dynamic conditions, achieving the technical effect of improving the robustness and reliability of vehicle axle type detection.
[0017] Please refer to the details. Figures 1-3 The LSD lidar 1 and LMO lidar 2 can still scan key information completely without adjusting the radar altitude within a certain range of altitude changes.
[0018] In this embodiment, LSD lidar 1 and LMO lidar 2 can still completely scan key information within a certain range of height variations without adjusting the radar height. Specifically, this capability is due to the unique installation method and working principle of the two lidars. LSD lidar 1 is installed vertically, providing accurate vertical cross-sectional data of the vehicle's bottom and the tire's contact point with the ground. LMO lidar 2 is installed at an angle, and its oblique scanning path covers the spatial distribution of the vehicle's sides and axles. When the overall installation height of the equipment changes within a certain range, the oblique viewing angle of LMO lidar 2 allows it to automatically compensate for this change, ensuring that the key features of the vehicle's axles can be effectively captured even at different heights. At the same time, the industrial control computer 5 can correct measurement deviations caused by height differences by fusing data from the two lidars, thereby ensuring accurate judgment of important parameters such as the vehicle's axle configuration and axle spacing. It can adapt to different installation conditions and environmental requirements without manually adjusting the height of the lidar device. This design significantly improves the system's flexibility and adaptability, reduces the workload of on-site debugging, and improves the consistency and reliability of the detection results.
[0019] Please refer to the details. Figures 1-3 The industrial computer 5 analyzes the information of the tire contact points, accurately calculates the distance between the shafts, and provides information on shaft separation and merging.
[0020] In this embodiment: the industrial control computer 5 analyzes the tire contact point information to accurately calculate the distance between axles, and provides the following specific implementation method for splitting and merging axle information: When the vehicle passes through the detection area, the LSD LiDAR 1 performs a high-speed vertical scan of the bottom of the vehicle to acquire the contour point cloud data of the tire-ground contact area in real time. The industrial control computer 5 processes the received continuous frame data to identify the contact point position of each tire on the ground, that is, the start and end coordinates of the lowest point of the tire contacting the ground. Combined with the vehicle's direction of travel, the time of passage and lateral position of each axle are determined through time series analysis, thereby locating the centerline of each axle. At the same time, the LMO LiDAR 2 scans the side of the vehicle at an inclined angle to acquire spatial distribution information of multiple axles in the oblique section. This data provides the relative distance and arrangement characteristics between axles. The industrial control computer 5 performs spatiotemporal synchronization and data fusion of the vertical contact point information from the LSD LiDAR 1 and the oblique axle distance data from the LMO LiDAR 2, and uses a geometric mapping algorithm to convert the obliquely measured distance into the actual horizontal distance, thereby accurately calculating the axle distance value between adjacent axles.
[0021] Please refer to the details. Figures 1-3 LSD lidar 1 and LMO lidar 2 are connected to the external central control system.
[0022] In this embodiment, the specific implementation of the signal connection between LSD LiDAR 1 and LMO LiDAR 2 and the external central control system is as follows: During normal operation, LSD LiDAR 1 and LMO LiDAR 2 continuously scan passing vehicles in real time, acquiring point cloud data of the tire contact points and wheel axles from vertical and oblique perspectives. This raw data is transmitted to the industrial control computer 5 through internal circuitry. The industrial control computer performs data fusion, axle type identification, and axle separation / merging judgment processing to generate structured detection results including the number of axles, axle type, wheelbase, passage time, and axle separation / merging status. Subsequently, the industrial control computer 5 sends the processed data to the external central control system via the switch 6 using a standard communication protocol, enabling communication with the toll collection system, Seamless integration with weighing management systems or traffic monitoring platforms; simultaneously, external central control systems can also send control commands to the industrial control computer 5 via this signal connection, such as equipment start / stop, parameter configuration updates, working mode switching, or remote diagnostic requests, thereby achieving centralized monitoring and management of the working status of LSD lidar 1 and LMO lidar 2; the signal connection adopts an industrial-grade Ethernet or RS485 serial communication interface, which has anti-electromagnetic interference capabilities and long-distance transmission characteristics, ensuring the stability and real-time performance of data transmission in complex field environments; this connection method not only realizes automatic uploading of detection data and system linkage, but also supports remote operation and maintenance and multi-device network collaborative work, improving the intelligence level and integration capability of the whole vehicle axle type identification system.
[0023] Please refer to the details. Figures 1-3 The protective cover 3 is made of waterproof, dustproof and vibration-resistant metal or high-strength engineering plastic shell. Its base is equipped with an adjustable mounting bracket, which is used to finely adjust the tilt angle of the LMO lidar 2 without changing the position of the lidar body.
[0024] In this embodiment: The protective cover 3 is made of aluminum alloy or high-strength ABS / PC engineering plastic with an IP67 or higher protection rating. The structure is reliably sealed and has good waterproof, dustproof and impact resistance performance. It can adapt to the outdoor all-weather working environment and effectively protect the internal core components such as LSD lidar 1, LMO lidar 2, and industrial control computer 5 from rain, dust, corrosive gases and continuous vibration caused by vehicle traffic. The bottom of the protective cover 3 is integrated with a rotatable or pitch-adjustable mounting bracket. The mounting angle of LMO lidar 2 can be continuously finely adjusted through threaded knobs, hinge structure or eccentric clamping mechanism.
[0025] Please refer to the details. Figures 1-3 LSD lidar 1 and LMO lidar 2 are lidars based on TOF ranging, used to achieve real-time scanning and data acquisition of vehicle shape and wheel axle position.
[0026] In this embodiment, both the LSD lidar 1 and the LMO lidar 2 employ Time-of-Flight (TOF) technology. They calculate the distance to a target object by emitting short-pulse lasers and measuring the time it takes for the reflected light to return to the receiver. This technology provides accurate distance information and boasts high resolution and response speed. In practical applications, the LSD lidar 1 is vertically mounted inside the protective housing 3, emitting a laser beam that shines vertically downwards onto the ground. When a vehicle passes by, it can acquire data on the vehicle's underbody profile and the vertical cross-sectional data of the tire's contact point with the ground. This data is crucial for determining the specific location of the axle. Simultaneously, the LMO lidar 2 is mounted at an angle inside the same protective housing 3, scanning the vehicle obliquely from the side. By capturing the structural features of the vehicle's side and the spatial distribution of its wheel axles, the LMO LiDAR 2, due to its oblique arrangement, not only supplements the vertical information provided by the LSD LiDAR 1, but also enhances the system's adaptability to vehicles of different heights and widths. This is particularly crucial for identifying complex and varied wheel axle layouts such as dual-axle or multi-axle systems. The two LiDARs, based on the TOF principle, work together to ensure that high-quality distance point cloud data can be continuously provided even when the vehicle is moving rapidly or its speed changes. This provides a solid data foundation for the industrial control computer 5 to determine the vehicle's presence, identify axle types, and analyze the separation and merging of axles, thereby achieving high-precision real-time scanning and data acquisition of the vehicle's shape and wheel axle positions.
[0027] The working principle and usage process of this utility model are as follows: When a vehicle passes through the detection area, LSD lidar 1 and LMO lidar 2, based on the TOF ranging principle, scan the vehicle in real time from vertical and tilt angles respectively, acquiring detailed point cloud data of the vehicle's shape and wheel axle positions. This data is transmitted to the industrial control computer 5, which accurately calculates the distance between axles by analyzing the tire contact point information and identifies the presence, departure, axle type, and axle separation / merging patterns of the vehicle. Throughout the process, the protective cover 3 ensures that the internal equipment is protected from external environmental influences, the power supply 4 provides stable power support to the system, and the switch 6 is responsible for uploading the processed data to the external central control system, realizing automated, high-precision detection and management of the vehicle's drive axles. All components work together, enabling the device to maintain efficient and accurate detection performance under varying vehicle speeds and installation heights.
[0028] Finally, it should be noted that the above are merely preferred embodiments of this utility model and are not intended to limit the utility model. Although the utility model has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this utility model should be included within the protection scope of this utility model.
Claims
1. A device for detecting automotive drive shafts, characterized in that, include: Protective shield (3); LSD laser radar (1), which is installed inside the protective cover (3) to obtain real-time vertical cross-sectional data of the vehicle's shape and wheel axle; LMO lidar (2), which is installed inside a protective cover (3) to acquire real-time oblique horizontal cross-sectional data of the vehicle's shape and wheel axle; Power supply (4), which is located inside the protective cover (3), provides power to LSD lidar (1) and LMO lidar (2); An industrial control computer (5) is located on one side of the inner wall of the protective cover (3) to collect and analyze data from two lidars to determine the presence, departure, axle type and split axle configuration of the vehicle. A switch (6) is located on the inner wall of one side of the protective cover (3) for transmitting processed data to the integrated terminal; characterized in that, by combining the data provided by two vertically installed and tilted laser radars, the accuracy of judging the vehicle's axle separation when the vehicle speed changes is improved.
2. The device for detecting automotive drive shafts according to claim 1, characterized in that: The LSD lidar (1) and LMO lidar (2) can still scan key information completely without adjusting the radar height within a certain range of height changes.
3. The device for detecting automotive drive shafts according to claim 2, characterized in that: The industrial control computer (5) analyzes the information of the tire contact point, accurately calculates the distance between the shafts, and provides information on the separation and merging of the shafts.
4. The device for detecting automotive drive shafts according to claim 3, characterized in that: The LSD lidar (1) and LMO lidar (2) are connected to the external central control system.
5. The device for detecting automotive drive shafts according to claim 4, characterized in that: The protective cover (3) is made of waterproof, dustproof and vibration resistant metal or high-strength engineering plastic shell. Its base is equipped with an adjustable mounting bracket, which is used to finely adjust the tilt angle of the LMO laser radar (2) without changing the position of the radar body.
6. The device for detecting automotive drive shafts according to claim 5, characterized in that: The LSD lidar (1) and LMO lidar (2) are lidars based on TOF ranging, used to achieve real-time scanning and data acquisition of vehicle shape and wheel axle position.