An intelligent monitoring system and method for a muck truck

Abstract

The present invention relates to an intelligent monitoring system and method for a muck truck, including a fatigue driving monitoring DSM camera, an assisted driving ADAS camera, a blind spot detection BSD camera, a driving recorder, a roof monitoring device, a spillage monitoring mechanism and a main control system. The fatigue driving monitoring DSM camera is embedded in the vehicle cab, the assisted driving ADAS camera and the driving recorder are both embedded in the outer surface of the vehicle, the blind spot detection BSD cameras are distributed on both sides of the vehicle axis, the roof monitoring device is connected to the vehicle top, the spillage monitoring mechanism is connected to the vehicle body, and the switch sensor and the main control system are both embedded in the main control circuit of the vehicle. Its monitoring method includes two steps: system assembly and vehicle monitoring. On the one hand, the present invention can effectively meet the needs of synchronous operation and use of various types of muck truck equipment and transportation road conditions; on the other hand, it has high monitoring accuracy and comprehensive monitoring data, and can comprehensively monitor the state information of the driver and the vehicle operation state information when the muck truck is running.

Claims

1. An intelligent monitoring system for a muck truck, characterized in that: the intelligent monitoring system for the muck truck includes a fatigue driving monitoring DSM camera (1), an assisted driving ADAS camera (2), a blind spot detection BSD camera (3), a driving recorder (4), a roof monitoring device (5), a load sensor (6), a switch sensor (7), a spill monitoring mechanism (8) and a main control system (9). Among them, there are several fatigue driving monitoring DSM cameras (1), which are embedded in the vehicle cab and electrically connected to the main control system (9). The assisted driving ADAS camera (2) and the driving recorder (4) are both embedded in the outer surface of the vehicle and are evenly distributed around the vehicle center in the same plane parallel to the horizontal plane. And the optical axes of the assisted driving ADAS camera (2) and the driving recorder (4) form an angle of 0° - 90° with the horizontal plane. There are at least two blind spot detection BSD cameras (3), which are symmetrically distributed on both sides of the vehicle axis and are electrically connected to the main control system (9). The roof monitoring device (5) is connected to the vehicle top, and its optical axis intersects with the vehicle axis at an angle of 10° - 60°. There is at least one load sensor (6), which is connected to the vehicle shock absorber and electrically connected to the main control system (9). The spill monitoring mechanism (8) is connected to the vehicle body and is electrically connected to the main control system (9). The switch sensor (7) and the main control system (9) are both embedded in the vehicle main control circuit, and the main control system (9) is respectively electrically connected to the switch sensor (7) and the vehicle driving computer circuit. The switch sensor (7) is electrically connected to the vehicle starting circuit; the blind spot detection BSD camera (3) includes a bearing seat (31), a protective side plate (32), a monitoring camera (33), a fill light (34), a telescopic driving mechanism (35) and a turntable mechanism (36). Among them, the axis of the bearing seat (31) is perpendicular to the vehicle body axis. The protective side plate (32) is coaxially distributed with the bearing seat (31). The outer surface of the protective side plate (32) is slidably connected to the inner surface of the side wall of the bearing seat (31) through the telescopic driving mechanism (35), and the height of the bearing seat (31) is 50% - 95% of the depth of the bearing seat (31). There is at least one monitoring camera (33), which is embedded in the protective side plate (32) and connected to the bottom of the protective side plate (32), and the axis of the monitoring camera (33) is perpendicular to the axis of the protective side plate (32). There are several fill lights (34), which are embedded in the front end face of the protective side plate (32) and are evenly distributed around the center of the front end face of the protective side plate (32), and the optical axes of the fill lights (34) are parallel to the optical axis of the monitoring camera (33). The turntable mechanism (36) is connected to the rear end face of the bearing seat (31) and is coaxially distributed. The bearing seat (31) is hinged to the outer surface of the vehicle body through the turntable mechanism (36), and the bearing seat (31) forms an angle of 0° - 90° with the turntable mechanism (36). The monitoring camera (33), the fill light (34), the telescopic driving mechanism (35) and the turntable mechanism (36) are all electrically connected to the main control system (9); The described spill monitoring mechanism (8) includes a load-bearing keel (81), a monitoring camera (33), a pressure sensor (83), a Hall sensor (84), a positioning magnet (85), and an inclination sensor (82). The load-bearing keel (81) is covered on the outer surface of the vehicle body corresponding to the front end face of the carriage. A detection groove (86) is provided on the front end face of the load-bearing keel (81). At least three Hall sensors (84) and at least three pressure sensors (83) are embedded in the detection groove (86) at the top position of the load-bearing keel (81) and are evenly distributed along the axis of the detection groove (86). At least three monitoring cameras (33) are evenly distributed around the vehicle body axis on the outer surface of the load-bearing keel (81), and the optical axis of the monitoring camera (33) forms an angle of 0° - 60° with the outer surface of the load-bearing keel (81). A number of positioning magnets (85) are connected to the front end face of the vehicle awning corresponding to the detection groove (86) at the top of the load-bearing keel (81). The inclination sensor (82) is embedded in the load-bearing keel (81) and is located at the center of gravity position of the load-bearing keel (81). The monitoring camera (33), the pressure sensor (83), the Hall sensor (84), and the inclination sensor (82) are all electrically connected to the main control circuit; The described roof monitoring device (5) includes a load-bearing base (51), a monitoring camera (33), a ranging device (52), a detection head (53), and a warning light (54). The upper end face of the load-bearing base (51) is connected to the detection head (53) and is coaxially distributed. The detection head (53) is a cavity structure with a rectangular axial cross-section. A partition (55) is provided in the detection head (53), and the detection head (53) is evenly divided into 2 - 8 detection cavities (56) evenly distributed around the axis of the detection head (53) by the partition (55). The number of monitoring cameras (33) and ranging devices (52) is the same as the number of detection cavities (56), and one monitoring camera (33) and one ranging device (52) are provided in each detection cavity (56). The axes of the monitoring camera (33) and the ranging device (52) in the same detection cavity (56) are perpendicular to and intersect with the axis of the detection head (53). The monitoring cameras (33) and the ranging devices (52) are connected in parallel with each other and are respectively electrically connected to the main control system (9). The warning light (54) is connected to the upper end face of the detection head (53) and is coaxially distributed and is electrically connected to the main control circuit.

2. An intelligent monitoring system for a muck truck according to claim 1, characterized in that: The described main control circuit includes a GNSS satellite positioning device, a muck truck intelligent analyzer, an active safety intelligent terminal, a central logic processing circuit, a serial communication circuit, a communication bus circuit, a wireless data communication circuit, and a wireless data communication antenna. Among them, the central logic processing circuit is electrically connected to the GNSS satellite positioning device, the muck truck intelligent analyzer, the active safety intelligent terminal, the wireless data communication circuit, a switch sensor (7), and a vehicle driving computer circuit through the serial communication circuit and the communication bus circuit. The muck truck intelligent analyzer is electrically connected to a load sensor (6) and a spill monitoring mechanism (8). The active safety intelligent terminal is electrically connected to a fatigue driving monitoring DSM camera (1), an assisted driving ADAS camera (2), a blind spot detection BSD camera (3), and a driving recorder (4). The wireless data communication circuit is electrically connected to at least one wireless data communication antenna, and the wireless data communication antenna is connected to the outer surface of the vehicle body.

3. The intelligent monitoring system for muck trucks according to claim 2, characterized in that: The central logic processing circuit includes a central processing circuit based on an FPGA chip, a video processing circuit based on a GPU, a data buffer circuit, a data latch circuit, a crystal oscillator clock circuit, and a MOS drive circuit. The central processing circuit based on the FPGA chip and the video processing circuit based on the GPU are electrically connected through the data buffer circuit, the data latch circuit, and the crystal oscillator clock circuit. And the central processing circuit based on the FPGA chip is additionally electrically connected to the MOS drive circuit. The data buffer circuit, the data latch circuit, and the MOS drive circuit are additionally electrically connected to an external circuit system.

4. The intelligent monitoring system for muck trucks according to claim 2, characterized in that: The communication bus circuit is a CAN communication bus; the wireless data communication antenna is a GSM / GPS antenna; the muck truck intelligent analyzer is a TS-ZT analyzer; the active safety intelligent terminal is an AI-BOX active safety intelligent terminal.

5. The monitoring method of the intelligent monitoring system for muck trucks according to any one of claims 1-4, characterized in that, it includes the following steps: S1. System assembly: First, install the fatigue driving monitoring DSM camera (1) inside the cab of the vehicle and at the driver's position. Then, install the advanced driver assistance system (ADAS) camera (2), blind spot detection (BSD) camera (3), and dash cam (4) on the outer side of the vehicle body, and install the roof monitoring device (5) on the roof of the vehicle cab. Install the load sensor (6) at the shock absorber of the vehicle compartment. Finally, electrically connect both the main control system (9) and the switch sensor (7) to the control circuit of the vehicle, and electrically connect the main control system (9) to the switch sensor (7), the vehicle driving computer circuit, the fatigue driving monitoring DSM camera (1), the advanced driver assistance system (ADAS) camera (2), the blind spot detection (BSD) camera (3), the dash cam (4), the roof monitoring device (5), the load sensor (6), and the spill monitoring mechanism (8) respectively. Electrically connect the switch sensor (7) to the vehicle start circuit to complete the system assembly. At the same time, establish a data connection between the main control circuit and the external remote monitoring platform through a wireless communication network; S2. Vehicle monitoring: After completing step S1, the operating status of the muck truck can be monitored. During the monitoring operation: The fatigue driving monitoring DSM camera (1) monitors the driver's status in real time, can identify whether the driver has fatigue driving behavior, reminds the driver, and feeds back control information to the main control circuit according to the driver's status. The main control circuit adjusts the vehicle speed limit according to the driver's status, and at the same time feeds back the collected driver identity information and driving behavior video information to the external remote monitoring platform; The advanced driver assistance system (ADAS) camera (2) and the dash cam (4) identify the driver's identity information to prevent unauthorized driving and control of the vehicle, monitor and guide the vehicle's running path, speed, and trajectory throughout the process, and correct and warn against behaviors such as the muck truck deviating from its course. At the same time, the vehicle operation information is fed back to the external remote monitoring platform through the main control system (9); The blind spot detection (BSD) camera (3) monitors the visual blind spots during vehicle operation and provides information display for the driver to guide the driver to safely operate the vehicle; The roof monitoring device (5) performs a 360° range detection and monitoring of the vehicle body appearance, monitors the vehicle body status, the compartment sealing status, and the spillage phenomenon during vehicle operation, and feeds back the collected information to the external remote monitoring platform through the main control system (9); The spill monitoring mechanism (8) focuses on monitoring the compartment sealing status of the vehicle and the spillage phenomenon during vehicle operation, and feeds back the collected information to the external remote monitoring platform through the main control system (9); The load sensor (6) detects the load during vehicle operation and feeds back the monitoring data to the external remote monitoring platform through the main control system (9).

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