A training and supervision device and evaluation method for a simulator for starting standard operation of a muck truck

Abstract

The present invention discloses a training and supervision device and evaluation method for a simulator for standardized operation of a muck truck starting. The infrared camera in the system is used to capture images of whether the driver observes a wide-angle small round mirror during the starting operation, and transmits the images to an industrial computer; the CAN acquisition module is used to collect vehicle operation information and transmit the images to the industrial computer; the front and rear screen road environment display system is used to display road environment information and transmit the images to the industrial computer; the virtual scene generation and display system is used to generate and display virtual scenes, and transmit the virtual scenes to the industrial computer; the industrial computer is used to store and process images of whether the driver observes a wide-angle small round mirror during the starting operation, vehicle operation information, road environment information, and virtual scenes, and obtain a safety score for the driver's starting operation. The present invention is used to supervise and manage the behavior of whether the driver of a muck truck looks at a wide-angle small round mirror during the starting operation, which helps to cultivate the driver's habit of safe and standardized operation at the start.

Description

Technical Field

[0001] The invention belongs to the technical field of driver safety driving training, and in particular relates to a training and monitoring device and an evaluation method for a simulator for standard starting operation of a muck truck. Background Art

[0002] Since the safety awareness of dump truck drivers is generally weak, and the nature of driving accidents caused by improper driving behavior of dump truck drivers is generally serious, it is necessary to regulate the driving behavior of drivers to minimize accidents caused by improper operation. When starting a dump truck, the driver needs to observe the surrounding driving environment and observe whether there are pedestrians, vehicles or other obstacles in the blind spot of the vehicle through the wide-angle small round mirror on the upper right side of the front of the vehicle to ensure the safety of the vehicle's start. Therefore, when training dump truck drivers, it is necessary to supervise and guide the safe and standardized operation when starting.

[0003] Currently, this is only achieved through verbal statements from coaches and safety trainers, and there is no way to continuously monitor the driver's starting operation over a long period of time. Summary of the invention

[0004] In view of the problems existing in the prior art, the purpose of the present invention is to provide a training and supervision device and an evaluation method for a simulator for the standardized starting operation of a dump truck, which is used to supervise and manage the driver's behavior of looking at the wide-angle small circular mirror when starting the dump truck, thereby helping to cultivate the driver's safe and standardized starting operation habits and is suitable for wide use.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] (1) A simulator for training and supervising a muck truck starting standard operation, comprising:

[0007] Infrared camera, CAN acquisition module, front and rear screen road environment display system, virtual scene generation and display system and industrial computer;

[0008] The infrared camera is installed facing the driver at a position on the upper right side of the vehicle near the wide-angle small round mirror, and is used to capture images of whether the driver is observing the wide-angle small round mirror when starting the operation, and transmit the images to the industrial computer;

[0009] The CAN acquisition module is used to collect vehicle operation information and transmit it to the industrial computer;

[0010] Among them, the vehicle operation information includes the ignition signal, the accelerator pedal opening and the turn signal opening status;

[0011] The front and rear screen road environment display system is used to display road environment information and transmit it to the industrial computer;

[0012] The virtual scene generation and display system is used to generate a virtual scene, display the generated virtual scene, and transmit the virtual scene to the industrial computer;

[0013] The industrial computer is used to store and process whether the driver observes the image of the wide-angle small circular mirror during the starting operation, vehicle operation information, road environment information and virtual scene, and obtain a safety score for the driver's starting operation.

[0014] (II) A method for monitoring and evaluating the training of a simulator for starting standard operation of a muck truck, comprising the following steps:

[0015] Step 1: Formulate the starting operation specifications for muck trucks;

[0016] Step 2, establishing a virtual driving scene;

[0017] Step 3, obtaining a driver's head motion image, and calibrating the driver's head motion image using a convolutional neural network model to obtain a calibration result;

[0018] Step 4, collecting vehicle operation information, comparing the vehicle operation information and the calibration result with the starting operation specification of the muck truck, determining whether each driver's starting operation complies with the starting operation specification of the muck truck, if so, no points are deducted; otherwise, determining the point deduction value during each driver's starting operation;

[0019] Among them, the vehicle operation information includes the ignition signal, the accelerator pedal opening and the turn signal opening status;

[0020] Step 5, obtaining a starting standard operation safety evaluation score G of the driver during the starting process within a period of time, and determining whether to stop the driver's driving work by comparing the starting standard operation safety evaluation score G of the driver during the starting process within a period of time with a preset threshold value T. If so, conduct special training for the driver according to the starting operation specification of the muck truck; otherwise, the driver's starting operation process complies with the starting operation specification of the muck truck;

[0021] Among them, a period of time is one time or one training cycle, and one training cycle is 7 days.

[0022] Optionally, step 1 includes the following sub-steps:

[0023] Sub-step 1.1, start the engine of the muck truck, step on the clutch, and shift the gear lever to a low gear;

[0024] Sub-step 1.2, according to the actual situation, turn on the left turn signal or the right turn signal, honk the horn, release the parking brake operating handle, and release the clutch;

[0025] Sub-step 1.3: Hold the steering wheel and look at the wide-angle small round mirror once before pressing the accelerator pedal;

[0026] Sub-step 1.4: During the starting and turning process, you must look at the wide-angle small round mirror once every 4 seconds, and the time for each look at the wide-angle small round mirror must not be less than 0.5 seconds.

[0027] Optionally, the virtual driving scenario is established as follows:

[0028] Establish driving scenarios for turning left and turning right during the day, turning left and turning right at night, driving scenarios with obstacles in the blind spot of the front of the vehicle when starting, and driving scenarios with no obstacles in the blind spot of the front of the vehicle when starting;

[0029] Wherein, the obstacle is a pedestrian or a non-motor vehicle.

[0030] Optionally, the convolutional neural network model is used to calibrate the driver's head motion image as follows:

[0031] First, a training sample set and a test sample set are obtained, and a convolutional neural network model is trained by the training sample set to obtain a trained convolutional neural network model. Then, the trained convolutional neural network model is tested by the test sample set. When the average value of the difference between the output of the convolutional neural network model and the test sample label is less than a preset error threshold, it is determined that the training of the convolutional neural network model is completed.

[0032] The training sample set and the test sample set are selected from historical data respectively. The training sample set and the test sample set are respectively composed of the driver's head direction during the starting process, the driver looking at the wide-angle small round mirror during the starting operation, and the driver not looking at the wide-angle small round mirror during the starting operation. The labels of the test samples are the driver looking at the wide-angle small round mirror during the starting operation and the driver not looking at the wide-angle small round mirror during the starting operation.

[0033] Secondly, the driver's head direction during the starting process is input into the trained convolutional neural network model, and the trained convolutional neural network model outputs that the driver looks at the wide-angle small circular mirror during the starting process or the driver does not look at the wide-angle small circular mirror during the starting operation.

[0034] Optionally, the calibration result is specifically: the driver looks at the wide-angle small round mirror during the starting operation or the driver does not look at the wide-angle small round mirror during the starting operation.

[0035] Optionally, the deduction value during each driver's starting operation is determined as follows:

[0036] First, before the accelerator pedal opening data becomes non-zero, the driver of the muck truck turns on the turn signal when starting. If yes, no points are deducted; otherwise, the deduction value a=1 point;

[0037] Secondly, before the accelerator pedal opening becomes non-zero when the driver starts, does the driver look at the wide-angle small round mirror once? If so, no points will be deducted; otherwise, the deduction value b = 2 points;

[0038] Secondly, is there any obstacle in the blind spot of the front of the vehicle? If yes, does the driver of the muck truck look at the small wide-angle round mirror once every 2 seconds during the starting and turning process? Otherwise, does the driver of the muck truck look at the small wide-angle round mirror once every 4 seconds during the starting and turning process?

[0039] If the driver of the muck truck looks at the wide-angle small round mirror once every 2 seconds during the starting and turning process, no points will be deducted. Otherwise, the deduction value is d = 2 points; and,

[0040] Whether the driver of the muck truck looks at the wide-angle small round mirror for at least 0.5s each time during the starting and turning process, if yes, no points will be deducted, otherwise, the deduction value is e = 2 points;

[0041] If the driver of a dump truck looks at the small wide-angle circular mirror once every 4 seconds during starting and turning, no points will be deducted. Otherwise, the deduction value is c = 2 points.

[0042] Optionally, obtaining a safety evaluation score G of the driver's starting operation during a period of time, and comparing the safety evaluation score G of the driver's starting operation during a period of time with a preset threshold value T, determining whether to stop the driver's driving work is specifically as follows:

[0043] If the total deduction value G of the driver's starting process within a period of time is greater than the preset threshold value T, the driver's driving work is stopped and the driver is specially trained according to the starting operation specification of the muck truck; otherwise, the driver's starting operation process complies with the starting operation specification of the muck truck;

[0044] Among them, G p =a+b+c+d+e.

[0045] Optionally, when a period of time is once, a preset threshold T p is 4, if G p >T p , stop the driver's work and provide special training to the driver according to the starting operation specifications of the muck truck. Otherwise, the starting operation process of the muck truck driver complies with the starting operation specifications of the muck truck.

[0046] Optionally, when a period of time is a training cycle, the preset threshold T w is 60, if G p >T w , stop the driver's work and provide special training to the driver according to the starting operation specifications of the muck truck. Otherwise, the starting operation process of the muck truck driver complies with the starting operation specifications of the muck truck.

[0047] The beneficial effects that the present invention can produce include:

[0048] 1) The training and supervision device of the simulator for standard operation of starting a muck truck in the present invention mainly identifies the driver's operation of the turn signal and whether he observes the wide-angle small circular mirror when starting. It relies on image recognition to determine the driver's gaze area, and can accurately identify whether the driver observes the wide-angle small circular mirror. It can accurately identify the driver's operating behavior. The principle is simple and the behavior recognition is accurate. It is helpful to cultivate the driver's safe and standard operating habits when starting, and is suitable for wide use.

[0049] 2) The present invention manages drivers through a scoring system, scores driving operations that do not meet safe starting operation specifications, and retrains drivers with higher deduction values, which can correct drivers' unsafe driving operations at the start, and enable drivers to develop the habit of observing the wide-angle small circular mirror when starting, thereby improving drivers' starting safety awareness and improving the starting safety of vehicles.

[0050] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the structures shown in these drawings without paying creative work.

[0052] Figure 1 It is a structural composition diagram of a simulator training and monitoring device for starting standard operation of a muck truck provided by the present invention;

[0053] Figure 2 The present invention provides a flow chart of a method for supervising and evaluating a simulator for starting standard operations of a muck truck.

[0054] Among them, 100: CAN acquisition module; 200: infrared camera; 300: virtual scene generation and display system; 400: front and rear screen road environment display system; 500: industrial computer. DETAILED DESCRIPTION

[0055] In order to make the purpose, technical scheme and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention. The test methods in the following embodiments that do not specify specific conditions are usually carried out under conventional conditions or under conditions recommended by various manufacturers.

[0056] refer to Figure 1 The embodiment of the present invention provides a training and supervision device for a simulator for starting standard operation of a muck truck, comprising: an infrared camera 200, a CAN acquisition module 100, a front and rear screen road environment display system 400, a virtual scene generation and display system 300 and an industrial control computer 500;

[0057] The infrared camera 200 is installed on the upper right side of the vehicle near the wide-angle small round mirror, facing the driver, and is used to capture images of the driver observing the wide-angle small round mirror during the start operation, and transmit the images to the industrial computer 500;

[0058] The CAN acquisition module 100 is used to collect vehicle operation information and transmit it to the industrial computer 500;

[0059] Among them, the vehicle operation information includes the ignition signal, the accelerator pedal opening and the turn signal opening status;

[0060] The front and rear screen road environment display system 400 is used to display road environment information and transmit it to the industrial computer 500;

[0061] Among them, the road environment information includes information such as the speed and position of pedestrians, vehicles and other obstacles on the road;

[0062] The virtual scene generation and display system 300 is used to generate a virtual scene, display the generated virtual scene, and transmit the virtual scene to the industrial computer 500;

[0063] The industrial computer 500 is used to store and process whether the driver observes the image of the wide-angle small circular mirror, vehicle operation information, road environment information and virtual scene during the starting operation, so as to obtain a safety score of the driver's starting operation.

[0064] In the above embodiment, the output end of the infrared camera 200, the output end of the CAN acquisition module 100, the output end of the front and rear screen road environment display system 400 and the output end of the virtual scene generation and display system 300 are respectively connected to the input end of the industrial computer 500. The training and supervision device of the simulator for standard operation of starting a dump truck in the present invention mainly identifies the driver's turn signal operation and whether he observes the wide-angle small circular mirror when starting. It relies on image recognition to determine the driver's gaze area, and can accurately identify whether the driver is observing the wide-angle small circular mirror and the driver's operating behavior. The principle is simple and the behavior recognition is accurate, which is helpful to cultivate the driver's safe and standard operation habits when starting, and is suitable for wide use.

[0065] refer to Figure 2 The present invention also provides another embodiment, a method for monitoring and evaluating the training of a simulator for starting standard operation of a muck truck, comprising the following steps:

[0066] Step 1: Formulate the starting operation specifications for muck trucks;

[0067] Step 1 contains the following sub-steps:

[0068] Sub-step 1.1, start the engine of the muck truck, step on the clutch, and shift the gear lever to a low gear;

[0069] Sub-step 1.2, according to the actual situation, turn on the left turn signal or the right turn signal, honk the horn, release the parking brake operating handle, and release the clutch;

[0070] Sub-step 1.3: Hold the steering wheel and look at the wide-angle small round mirror once before pressing the accelerator pedal;

[0071] Sub-step 1.4: During the start and turn process, the driver must look at the wide-angle small round mirror once every 4 seconds, and the time for each look at the wide-angle small round mirror shall not be less than 0.5 seconds;

[0072] Step 2, establishing a virtual driving scene;

[0073] The specific steps of establishing a virtual driving scene are as follows:

[0074] Establish driving scenarios for turning left and turning right during the day, turning left and turning right at night, driving scenarios with obstacles in the blind spot of the front of the vehicle when starting, and driving scenarios with no obstacles in the blind spot of the front of the vehicle when starting;

[0075] Wherein, the obstacle is a pedestrian or a non-motorized vehicle;

[0076] Step 3, obtaining a driver's head motion image, and calibrating the driver's head motion image using a convolutional neural network model to obtain a calibration result;

[0077] The method of calibrating the driver's head motion image using the convolutional neural network model is as follows:

[0078] First, a training sample set and a test sample set are obtained, and a convolutional neural network model is trained by the training sample set to obtain a trained convolutional neural network model. Then, the trained convolutional neural network model is tested by the test sample set. When the average value of the difference between the output of the convolutional neural network model and the test sample label is less than a preset error threshold, it is determined that the training of the convolutional neural network model is completed.

[0079] The training sample set and the test sample set are selected from historical data respectively. The training sample set and the test sample set are respectively composed of the driver's head direction during the starting process, the driver looking at the wide-angle small round mirror during the starting operation, and the driver not looking at the wide-angle small round mirror during the starting operation. The labels of the test samples are the driver looking at the wide-angle small round mirror during the starting operation and the driver not looking at the wide-angle small round mirror during the starting operation.

[0080] Secondly, the driver's head direction during the starting process is input into the trained convolutional neural network model, and the trained convolutional neural network model outputs that the driver looks at the wide-angle small circular mirror during the starting process or the driver does not look at the wide-angle small circular mirror during the starting operation.

[0081] Further, the calibration result is specifically: the driver looks at the wide-angle small round mirror during the starting operation or the driver does not look at the wide-angle small round mirror during the starting operation;

[0082] Step 4, collecting vehicle operation information, comparing the vehicle operation information and the calibration result with the starting operation specification of the muck truck, determining whether each driver's starting operation complies with the starting operation specification of the muck truck, if so, no points are deducted; otherwise, determining the point deduction value during each driver's starting operation;

[0083] Among them, the vehicle operation information includes the ignition signal, the accelerator pedal opening and the turn signal opening status;

[0084] The deduction points for each driver's starting operation are determined as follows:

[0085] First, before the accelerator pedal opening data becomes non-zero, the driver of the muck truck turns on the turn signal when starting. If yes, no points are deducted; otherwise, the deduction value a=1 point;

[0086] Secondly, before the accelerator pedal opening becomes non-zero when the driver starts, does the driver look at the wide-angle small round mirror once? If so, no points will be deducted; otherwise, the deduction value b = 2 points;

[0087] Secondly, is there any obstacle in the blind spot of the front of the vehicle? If yes, does the driver of the muck truck look at the small wide-angle round mirror once every 2 seconds during the starting and turning process? Otherwise, does the driver of the muck truck look at the small wide-angle round mirror once every 4 seconds during the starting and turning process?

[0088] If the driver of the muck truck looks at the small wide-angle mirror once every 2 seconds during the starting and turning process, no points will be deducted. Otherwise, the deduction value is d = 2 points; and,

[0089] Whether the driver of the muck truck looks at the wide-angle small round mirror for at least 0.5s each time during the starting and turning process, if yes, no points will be deducted, otherwise, the deduction value is e = 2 points;

[0090] If the driver of a muck truck looks at the small wide-angle mirror once every 4 seconds during the starting and turning process, no points will be deducted. Otherwise, the deduction value is c = 2 points.

[0091] Step 5, obtaining a starting standard operation safety evaluation score G of the driver during the starting process within a period of time, and determining whether to stop the driver's driving work by comparing the starting standard operation safety evaluation score G of the driver during the starting process within a period of time with a preset threshold value T. If so, conduct special training for the driver according to the starting operation specification of the muck truck; otherwise, the driver's starting operation process complies with the starting operation specification of the muck truck;

[0092] Among them, a period of time is one time or one training cycle, and one training cycle is 7 days;

[0093] In the above embodiment, the starting standard operation safety evaluation score G of the driver during the starting process within a period of time is obtained, and by comparing the starting standard operation safety evaluation score G of the driver during the starting process within a period of time with the preset threshold value T, whether to stop the driver's driving work is determined specifically as follows:

[0094] If the total deduction value G of the driver's starting process within a period of time is greater than the preset threshold value T, the driver's driving work is stopped and the driver is specially trained according to the starting operation specification of the muck truck; otherwise, the driver's starting operation process complies with the starting operation specification of the muck truck;

[0095] Among them, G p =a+b+c+d+e.

[0096] Specifically, when a period of time is once, the preset threshold T p is 4, if Gp>T p , stop the driver's work and provide special training to the driver according to the starting operation specifications of the muck truck. Otherwise, the starting operation process of the muck truck driver complies with the starting operation specifications of the muck truck.

[0097] Furthermore, when a period of time is a training cycle, the preset threshold T w is 60, if Gp>T w , stop the driver's work and provide special training to the driver according to the starting operation specifications of the muck truck. Otherwise, the starting operation process of the muck truck driver complies with the starting operation specifications of the muck truck.

[0098] The present invention manages drivers through a scoring system, scores driving operations that do not meet safe starting operation specifications, and retrains drivers with higher deduction values, thereby correcting the driver's unsafe driving operation at the start, allowing the driver to develop a habit of observing a small wide-angle circular mirror when starting, thereby improving the driver's starting safety awareness and improving the starting safety of the vehicle.

[0099] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A simulator for training and supervising muck truck starting standard operation, characterized in that: include: Infrared camera, CAN acquisition module, front and rear screen road environment display system, virtual scene generation and display system and industrial computer; The infrared camera is installed on the upper right side of the vehicle near the wide-angle small round mirror, facing the driver, and is used to capture images of whether the driver is observing the wide-angle small round mirror when starting the operation, and transmit the images to the industrial computer; The CAN acquisition module is used to collect vehicle operation information and transmit it to the industrial computer; Among them, the vehicle operation information includes the ignition signal, the accelerator pedal opening and the turn signal opening status; The front and rear screen road environment display system is used to display road environment information and transmit it to the industrial computer; The virtual scene generation and display system is used to generate a virtual scene, display the generated virtual scene, and transmit the virtual scene to the industrial computer; The virtual driving scenarios are specifically established as follows: respectively establishing driving scenarios of turning left and turning right during the day, driving scenarios of turning left and turning right at night, driving scenarios of starting with an obstacle in the front blind spot of the vehicle when starting, and driving scenarios of starting without an obstacle in the front blind spot of the vehicle when starting; wherein the obstacle is a pedestrian or a non-motorized vehicle; The industrial computer is used to store and process whether the driver observes the image of the wide-angle small circular mirror, vehicle operation information, road environment information and virtual scene during the starting operation, so as to obtain a safety score of the driver's starting operation; The output end of the infrared camera, the output end of the CAN acquisition module, the output end of the front and rear screen road environment display system and the output end of the virtual scene generation and display system are respectively connected to the input end of the industrial computer.

2. A method for monitoring and evaluating the training of a simulator for starting standard operation of a muck truck, characterized in that: The following steps are involved: Step 1: Formulate the starting operation specifications for muck trucks; Step 2, establishing a virtual driving scene; The specific steps of establishing a virtual driving scenario are as follows: Establish driving scenarios for turning left and turning right during the day, turning left and turning right at night, driving scenarios with obstacles in the blind spot of the front of the vehicle when starting, and driving scenarios with no obstacles in the blind spot of the front of the vehicle when starting; Wherein, the obstacle is a pedestrian or a non-motorized vehicle; Step 3, obtaining a driver's head motion image, and calibrating the driver's head motion image using a convolutional neural network model to obtain a calibration result; The method of calibrating the driver's head motion image using the convolutional neural network model is as follows: First, a training sample set and a test sample set are obtained, and a convolutional neural network model is trained by the training sample set to obtain a trained convolutional neural network model. Then, the trained convolutional neural network model is tested by the test sample set. When the average value of the difference between the output of the convolutional neural network model and the test sample label is less than a preset error threshold, it is determined that the training of the convolutional neural network model is completed. The training sample set and the test sample set are selected from historical data respectively. The training sample set and the test sample set are respectively composed of the driver's head direction during the starting process, the driver looking at the wide-angle small round mirror during the starting operation, and the driver not looking at the wide-angle small round mirror during the starting operation. The labels of the test samples are the driver looking at the wide-angle small round mirror during the starting operation and the driver not looking at the wide-angle small round mirror during the starting operation. Secondly, the driver's head direction during the starting process is input into the trained convolutional neural network model, and the trained convolutional neural network model outputs that the driver looks at the wide-angle small round mirror during the starting process or the driver does not look at the wide-angle small round mirror during the starting operation; Step 4, collecting vehicle operation information, comparing the vehicle operation information and the calibration result with the starting operation specification of the muck truck, determining whether each driver's starting operation complies with the starting operation specification of the muck truck, if so, no points are deducted; otherwise, determining the point deduction value during each driver's starting operation; Among them, the vehicle operation information includes the ignition signal, the accelerator pedal opening and the turn signal opening status; Step 5, obtaining a starting standard operation safety evaluation score G of the driver during the starting process within a period of time, and determining whether to stop the driver's driving work by comparing the starting standard operation safety evaluation score G of the driver during the starting process within a period of time with a preset threshold value T. If so, conduct special training for the driver according to the starting operation specification of the muck truck; otherwise, the driver's starting operation process complies with the starting operation specification of the muck truck; Among them, a period of time is one time or one training cycle, and one training cycle is 7 days.

3. The training, supervision and evaluation method for the simulator for starting standard operation of a muck truck according to claim 2 is characterized in that: The step 1 comprises the following sub-steps: Sub-step 1.1, start the engine of the muck truck, step on the clutch, and shift the gear lever to a low gear; Sub-step 1.2, according to the actual situation, turn on the left turn signal or the right turn signal, honk the horn, release the parking brake operating handle, and release the clutch; Sub-step 1.3: Hold the steering wheel and look at the wide-angle small round mirror once before pressing the accelerator pedal; Sub-step 1.4: During the starting and turning process, you must look at the wide-angle small round mirror once every 4 seconds, and the time for each look at the wide-angle small round mirror must not be less than 0.5 seconds.

4. The training, supervision and evaluation method for the simulator for starting standard operation of a muck truck according to claim 2 is characterized in that: The calibration result is specifically: the driver looks at the wide-angle small round mirror during the starting operation or the driver does not look at the wide-angle small round mirror during the starting operation.

5. The training, supervision and evaluation method for the simulator for starting standard operation of a muck truck according to claim 2 is characterized in that: The deduction points for each driver's starting operation are determined as follows: First, before the accelerator pedal opening data becomes non-zero, the driver of the muck truck turns on the turn signal when starting. If yes, no points are deducted; otherwise, the deduction value a=1 point; Secondly, before the accelerator pedal opening becomes non-zero when the muck truck driver starts, whether the driver looks at the wide-angle small round mirror once, if so, no points will be deducted; Otherwise, the deduction value b = 2 points; Secondly, check whether there are obstacles in the blind spot of the front of the vehicle. If so, check whether the driver of the muck truck looks at the small wide-angle mirror once every 2 seconds during the starting and turning process; Otherwise, does the driver of the muck truck look at the small wide-angle round mirror once every 4 seconds during the starting and turning process? If the driver of a muck truck looks at the small wide-angle mirror once every 2 seconds during the starting and turning process, no points will be deducted. Otherwise, the deduction value is d = 2 points. If the driver of the muck truck looks at the wide-angle small round mirror for at least 0.5s each time during the starting and turning process, no points will be deducted. Otherwise, the deduction value is e = 2 points. If the driver of a dump truck looks at the small wide-angle circular mirror once every 4 seconds during starting and turning, no points will be deducted. Otherwise, the deduction value is c = 2 points.

6. The training, supervision and evaluation method for the simulator for starting standard operation of a muck truck according to claim 2 is characterized in that: Obtaining a safety evaluation score G of the driver's starting operation during a period of time, and comparing the safety evaluation score G of the driver's starting operation during a period of time with a preset threshold value T, determining whether to stop the driver's driving work is specifically as follows: If the total deduction value G of the driver's starting process within a period of time is greater than the preset threshold value T, the driver's driving work is stopped and the driver is specially trained according to the starting operation specification of the muck truck; otherwise, the driver's starting operation process complies with the starting operation specification of the muck truck; Among them, G p =a+b+c+d+e.

7. The training, supervision and evaluation method for the simulator for starting standard operation of a muck truck according to claim 2 is characterized in that: When a period of time is once, the preset threshold T p is 4, if G p >T p , stop the driver's work and provide special training to the driver according to the starting operation specifications of the muck truck. Otherwise, the starting operation process of the muck truck driver complies with the starting operation specifications of the muck truck.

8. The training, supervision and evaluation method for the simulator for starting standard operation of a muck truck according to claim 2 is characterized in that: When a period of time is a training cycle, the preset threshold T w is 60, if G p >T w , stop the driver's work and provide special training to the driver according to the starting operation specifications of the muck truck. Otherwise, the starting operation process of the muck truck driver complies with the starting operation specifications of the muck truck.

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