Operation vehicle compliance analysis system for whole transportation process

Abstract

The invention innovatively provides a commercial vehicle compliance analysis system for a whole transportation process, which is characterized by comprising a vehicle information acquisition module, a compliance rule analysis module, a feature analysis module, a business analysis module and a driving behavior analysis module, analyzing the vehicle driving image, acquiring the action behavior of the driver, judging whether the behavior of the driver has an illegal behavior or not, marking the current illegal behavior if the behavior of the driver has the illegal behavior, and acquiring the accumulated number of times of the illegal behavior; and the violation analysis module obtains compliance rule parameters, feature parameters, business analysis parameters and accumulated violation times, obtains violation scores through a compliance algorithm, generates violation information, judges that the commercial vehicle does not have violation when the violation scores are zero, compares the violation scores, and sends the violation information to the business vehicle. And a slight violation signal, a general violation signal and a serious violation signal are generated.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle analysis, and more specifically to an operating vehicle compliance analysis system for the entire transportation process. Background Art

[0002] Operating vehicles are mainly used for corporate cargo transportation and are generally large and medium-sized trains. During the transportation process of operating vehicles, there are different compliance rules for different regions. During the driving of the vehicle, there may be violations. The current vehicle violation monitoring is delayed, and it is impossible to notify the driver in time and make timely processing, and it is impossible to make timely judgments on the violation level of the vehicle. Summary of the invention

[0003] In view of the shortcomings of the prior art, the purpose of the present invention is to provide an operating vehicle compliance analysis system for the entire transportation process, so as to overcome the above-mentioned defects in the prior art.

[0004] To achieve the above object, the present invention provides the following technical solutions:

[0005] A compliance analysis system for operating vehicles in the entire transportation process, including

[0006] The vehicle information acquisition module is used to acquire basic vehicle information, vehicle driving positioning information and vehicle driving images. The basic vehicle information includes vehicle information and driver information, etc. The vehicle driving positioning information includes driving time, vehicle coordinates, driving speed and driving direction, etc.;

[0007] A rationality analysis database, including a data set 1 and a data set 2, wherein the data set 1 is set as the compliance rules of the current city, and the data set 2 is set as the characteristic information of the operating vehicles;

[0008] A compliance rule analysis module, the compliance rule analysis module is used to obtain vehicle driving location information and data set 1, match the vehicle driving location information with the data set 1, and generate compliance rule parameters;

[0009] A feature analysis module, the feature analysis module is used to obtain basic vehicle information and data set 2, match the basic vehicle information and data set 2, and generate feature parameters;

[0010] A business analysis module, which is used to obtain basic vehicle information, vehicle driving location information and operation information, match the basic vehicle information and vehicle driving location information with the operation information, and generate business analysis parameters;

[0011] A driving behavior analysis module is used to obtain a vehicle driving image, analyze the vehicle driving image, obtain the driver's action behavior, and determine whether the driver's behavior has violated the law. If there is a violation, mark the current violation and obtain the cumulative number of violations;

[0012] The violation analysis module obtains compliance rule parameters, feature parameters, business analysis parameters and the cumulative number of violations, respectively, obtains the violation score through the compliance algorithm, and generates violation information. When the violation score is zero, it is determined that there is no violation for the operating vehicle, and a first threshold and a second threshold are preset. When the violation score is less than the first threshold, a minor violation signal is generated. When the violation score is greater than the first threshold and less than the second threshold, a general violation signal is generated. When the violation score is greater than the second threshold, a serious violation signal is generated.

[0013] Preferably, the compliance algorithm calculation formula is:

[0014] P=aX1+bX2+cX3+dX4

[0015] Among them, P is the violation score, a is the first weight ratio, b is the second weight ratio, c is the third weight ratio, d is the fourth weight ratio, X1 is the compliance rule parameter, X2 is the feature parameter, X3 is the business analysis parameter, and X4 is the cumulative number of violations.

[0016] Preferably, a route matching unit is provided in the business analysis module, and a yaw detection strategy is configured in the route matching unit. The yaw detection strategy is used to determine whether a yaw signal is generated. If the yaw signal is generated, the route matching unit generates business analysis parameters.

[0017] Preferably, the yaw detection strategy includes:

[0018] S1: Obtain the real-time path and navigation route of the vehicle during driving;

[0019] S2: if a change between the real-time path and the navigation route is detected, the historical order trajectory corresponding to the historical travel orders corresponding to the departure place and the destination of the vehicle, as well as the initial navigation trajectory of the vehicle and the secondary navigation trajectory after the path changes are obtained;

[0020] S3: judging whether the vehicle is in a yaw state based on multiple historical order trajectories, the first navigation trajectory and the second navigation trajectory;

[0021] S4: If the vehicle is not in a yaw state, the real-time path change is ignored; if the vehicle is in a yaw state, a yaw signal is issued.

[0022] Preferably, the trajectory overlap rates of the historical order trajectory, the initial navigation trajectory and the secondary navigation trajectory are compared in S3. If the trajectory overlap rate is less than an overlap threshold, it is determined that the vehicle is in a yaw state.

[0023] Preferably, the compliance rules include prohibited driving and prohibited parking area data, road section speed limit data and checkpoint data, etc.

[0024] Preferably, the basic vehicle information includes vehicle age, license plate number, transport certificate number, trip number, etc., and the driver information includes name, gender, nationality, ID number, etc.

[0025] Preferably, a warning module is also included. When the warning module receives a minor violation signal, the violation information is sent to the driver. When the warning module receives a general violation signal, the violation information is sent to the driver and the enterprise monitor is notified. When the warning module receives a serious violation signal, the violation information is sent to the driver and the enterprise monitor and enterprise safety officer are notified.

[0026] The beneficial effects of the present invention include: by collecting and analyzing compliance rule parameters, characteristic parameters, business analysis parameters and the cumulative number of violations, the violations of different dimensions of the vehicle during operation are collected, the violations of the vehicle under different circumstances are determined, and the violation scores are calculated through the compliance algorithm. The degree of violation of the vehicle is judged according to the violation scores, and different violation signals are generated according to the degree of violation of the vehicle. Different reminder measures are taken according to different violation signals, so as to facilitate the reminder of violations to the driver during driving and the collection of violation data of the vehicle during operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 It is the overall flow chart of the present invention. DETAILED DESCRIPTION

[0028] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0029] It should be noted that when a component is referred to as being "fixed to" another component, it may be directly on the other component or there may also be a component centered. When a component is considered to be "connected to" another component, it may be directly connected to the other component or there may also be a component centered. When a component is considered to be "set on" another component, it may be directly set on the other component or there may also be a component centered. The terms "vertical", "horizontal", "left", "right" and similar expressions used herein are for illustrative purposes only.

[0030] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more related listed items.

[0031] The embodiments of the present invention are further described in detail below with reference to the accompanying drawings:

[0032] A compliance analysis system for operating vehicles in the entire transportation process, including

[0033] The vehicle information acquisition module is used to acquire basic vehicle information, vehicle driving location information and vehicle driving images. Basic vehicle information includes vehicle information and driver information, etc. Vehicle driving location information includes driving time, vehicle coordinates, driving speed and driving direction, etc. Basic vehicle information includes vehicle age, license plate number, vehicle model, vehicle body color, transport certificate number and trip number, etc. Driver information includes name, gender, nationality, certificate number, etc., to collect and acquire vehicle information;

[0034] The rationality analysis database includes data set 1 and data set 2. Data set 1 is set as the compliance rules of the current city. The compliance rules include data on prohibited driving and prohibited parking areas, road speed limit data, and checkpoint data. The compliance rules can be adjusted according to different cities to facilitate adaptation to traffic rules in different cities. Data set 2 is set as the characteristic information of operating vehicles. The characteristic information is entered into the traffic management system to verify whether the actual operating vehicles and drivers are consistent with the reported vehicles and drivers;

[0035] The compliance rule analysis module is used to obtain the vehicle driving location information and data set 1, match the vehicle driving location information with data set 1, and generate compliance rule parameters; during the vehicle driving process, the vehicle speed and running position are matched with the local compliance rules. If there are speeding violations, or violations such as driving in a prohibited driving area or parking in a prohibited parking area, the violations are recorded, and compliance rule parameters are generated according to the number of violations;

[0036] The feature analysis module is used to obtain basic vehicle information and data set 2, match the basic vehicle information and data set 2, and generate feature parameters; compare the basic vehicle information automatically obtained in the vehicle information acquisition module with the features of the operating vehicles in data set 2, and generate feature parameters if there are differences;

[0037] Business analysis module: The business analysis module is used to obtain basic vehicle information, vehicle driving positioning information and operation information, and match the basic vehicle information and vehicle driving positioning information with the operation information, and generate business analysis parameters; the operation information includes the initial navigation route of the vehicle, the vehicle cargo information, etc. According to the basic vehicle information and the vehicle driving positioning information, the vehicle cargo situation is compared with the basic vehicle information, and whether the vehicle's running trajectory is consistent with the initial navigation route is obtained, and based on the consistency, the business analysis parameters are generated;

[0038] The driving behavior analysis module is used to obtain the vehicle driving image, analyze the vehicle driving image, obtain the driver's action behavior, and determine whether the driver's behavior has violated the law. If there is a violation, mark the current violation and obtain the cumulative number of violations. During the driving process, the vehicle driving image is used to analyze the driver's action behavior in the vehicle driving image. If the driver has violated the driving law such as not wearing a seat belt or making a phone call, the cumulative number of violations is obtained.

[0039] The violation analysis module obtains compliance rule parameters, feature parameters, business analysis parameters and the cumulative number of violations, obtains the violation score through the compliance algorithm, and generates violation information. When the violation score is zero, it is determined that there is no violation of the operating vehicle, and a first threshold and a second threshold are preset. When the violation score is less than the first threshold, a minor violation signal is generated. When the violation score is greater than the first threshold and less than the second threshold, a general violation signal is generated. When the violation score is greater than the second threshold, a serious violation signal is generated.

[0040] By collecting and analyzing compliance rule parameters, feature parameters, business analysis parameters and the cumulative number of violations, the violations of different dimensions of the vehicle during operation are collected, the violations of the vehicle in different situations are determined, and the violation score is calculated through the compliance algorithm. The degree of violation of the vehicle is judged based on the violation score, and different violation signals are generated based on the degree of violation of the vehicle. Different reminder measures are taken based on different violation signals, which facilitates the reminder of violations to the driver during driving and the collection of violation data of the vehicle during operation.

[0041] The compliance algorithm calculation formula is:

[0042] P=aX1+bX2+cX3+dX4

[0043] Among them, P is the violation score, a is the first weight ratio, b is the second weight ratio, c is the third weight ratio, d is the fourth weight ratio, X1 is the compliance rule parameter, X2 is the feature parameter, X3 is the business analysis parameter, and X4 is the cumulative number of violations; through the weight calculation formula, the compliance rule parameters, feature parameters, business analysis parameters and the cumulative number of violations are calculated under different weight ratio calculation formulas to obtain the violation score.

[0044] A route matching unit is provided in the business analysis module. A yaw detection strategy is configured in the route matching unit. The yaw detection strategy is used to determine whether a yaw signal is generated. If a yaw signal is generated, the route matching unit generates business analysis parameters. A route matching unit is provided in the business analysis module. The yaw detection strategy in the route matching unit is used to analyze the driving route of the running vehicle to determine whether the vehicle has yaw behavior. If the vehicle has yaw behavior, business analysis parameters are generated according to the degree of yaw.

[0045] The yaw detection strategy includes:

[0046] S1: Obtain the real-time path and navigation route of the vehicle during driving;

[0047] S2: if a change between the real-time path and the navigation route is detected, the historical order trajectory corresponding to the historical travel orders corresponding to the departure place and the destination of the vehicle, as well as the initial navigation trajectory of the vehicle and the secondary navigation trajectory after the path changes are obtained;

[0048] S3: judging whether the vehicle is in a yaw state based on multiple historical order trajectories, the first navigation trajectory and the second navigation trajectory;

[0049] S4: If the vehicle is not in a yaw state, the real-time path change is ignored; if the vehicle is in a yaw state, a yaw signal is issued.

[0050] In S3, the trajectory overlap rates of the historical order trajectory, the initial navigation trajectory and the secondary navigation trajectory are compared. If the trajectory overlap rate is less than the overlap threshold, it is determined that the vehicle is in a yaw state.

[0051] It also includes a warning module. When the warning module receives a minor violation signal, the violation information is sent to the driver. When the warning module receives a general violation signal, the violation information is sent to the driver and the company monitor is notified. When the warning module receives a serious violation signal, the violation information is sent to the driver, and the company monitor and company safety officer are notified. The warning module is used to receive different violation signals received, and output the violation type, time, violation details and handling method to achieve timely handling of violations.

[0052] The above are only preferred embodiments of the present invention. The protection scope of the present invention is not limited to the above embodiments. All technical solutions under the concept of the present invention belong to the protection scope of the present invention. It should be pointed out that for ordinary technicians in this technical field, some improvements and modifications without departing from the principle of the present invention should also be regarded as the protection scope of the present invention.

Claims

1. A compliance analysis system for operating vehicles in the entire transportation process, characterized in that: include The vehicle information acquisition module is used to acquire basic vehicle information, vehicle driving positioning information and vehicle driving images. The basic vehicle information includes vehicle information and driver information, etc. The vehicle driving positioning information includes driving time, vehicle coordinates, driving speed and driving direction, etc.; The rationality analysis database includes a data set 1, a data set 2, and a data set 3, wherein the data set 1 is set as the compliance rules of the current city, and the data set 2 is set as the characteristic information of the operating vehicles; A compliance rule analysis module, the compliance rule analysis module is used to obtain vehicle driving location information and data set 1, match the vehicle driving location information with the data set 1, and generate compliance rule parameters; A feature analysis module, the feature analysis module is used to obtain basic vehicle information and data set 2, match the basic vehicle information and data set 2, and generate feature parameters; A business analysis module, which is used to obtain basic vehicle information, vehicle driving location information and operation information, match the basic vehicle information and vehicle driving location information with the operation information, and generate business analysis parameters; A driving behavior analysis module is used to obtain a vehicle driving image, analyze the vehicle driving image, obtain the driver's action behavior, and determine whether the driver's behavior has violated the law. If there is a violation, mark the current violation and obtain the cumulative number of violations; The violation analysis module obtains compliance rule parameters, feature parameters, business analysis parameters and the cumulative number of violations, respectively, obtains the violation score through the compliance algorithm, and generates violation information. When the violation score is zero, it is determined that there is no violation for the operating vehicle, and a first threshold and a second threshold are preset. When the violation score is less than the first threshold, a minor violation signal is generated. When the violation score is greater than the first threshold and less than the second threshold, a general violation signal is generated. When the violation score is greater than the second threshold, a serious violation signal is generated.

2. According to claim 1, a transportation-oriented vehicle compliance analysis system is characterized in that: The compliance algorithm calculation formula is: P=aX1+bX2+cX3+dX4 Among them, P is the violation score, a is the first weight ratio, b is the second weight ratio, c is the third weight ratio, d is the fourth weight ratio, X1 is the compliance rule parameter, X2 is the feature parameter, X3 is the business analysis parameter, and X4 is the cumulative number of violations.

3. According to claim 1, a compliance analysis system for operating vehicles in the entire transportation process is characterized in that: The service analysis module is provided with a route matching unit, and the route matching unit is configured with a yaw detection strategy. The yaw detection strategy is used to determine whether a yaw signal is generated. If the yaw signal is generated, the route matching unit generates a service analysis parameter.

4. The operational vehicle compliance analysis system for the entire transportation process according to claim 3 is characterized in that: The yaw detection strategy includes: S1: Obtain the real-time path and navigation route of the vehicle during driving; S2: if a change between the real-time path and the navigation route is detected, the historical order trajectory corresponding to the historical travel orders corresponding to the departure place and the destination of the vehicle, as well as the initial navigation trajectory of the vehicle and the secondary navigation trajectory after the path changes are obtained; S3: judging whether the vehicle is in a yaw state based on multiple historical order trajectories, the first navigation trajectory and the second navigation trajectory; S4: If the vehicle is not in a yaw state, the real-time path change is ignored; if the vehicle is in a yaw state, a yaw signal is issued.

5. The operational vehicle compliance analysis system for the entire transportation process according to claim 5 is characterized in that: In S3, the trajectory overlap rates of the historical order trajectory, the initial navigation trajectory and the secondary navigation trajectory are compared. If the trajectory overlap rate is less than an overlap threshold, it is determined that the vehicle is in a yaw state.

6. The operational vehicle compliance analysis system for the entire transportation process according to claim 1 is characterized in that: The compliance rules include prohibited driving and prohibited parking area data, road speed limit data and checkpoint data, etc.

7. The operational vehicle compliance analysis system for the entire transportation process according to claim 1 is characterized in that: The basic vehicle information includes vehicle age, license plate number, transport certificate number, trip number, etc., and the driver information includes name, gender, nationality, ID number, etc.

8. The operational vehicle compliance analysis system for the entire transportation process according to claim 1 is characterized in that: It also includes a warning module. When the warning module receives a minor violation signal, the violation information is sent to the driver. When the warning module receives a general violation signal, the violation information is sent to the driver and the company monitor is notified. When the warning module receives a serious violation signal, the violation information is sent to the driver, the company monitor, and the company safety officer at the same time.

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