Vehicle driving supervision system and method based on artificial intelligence

Abstract

The invention discloses a vehicle driving supervision system and method based on artificial intelligence, and the system comprises a supervision unit, the output end of the supervision unit is electrically connected with a vehicle position monitoring module, a vehicle fuel consumption monitoring module, a vehicle speed monitoring module and a driving vehicle condition monitoring module, and the output end of the vehicle position monitoring module is electrically connected with a GPS antenna. The output end of the GPS antenna is electrically connected with a microprocessor, the output end of the vehicle position monitoring module is electrically connected with a real-time positioning and tracking module, the output end of the real-time positioning and tracking module is electrically connected with a driving track recording module, and the output end of the vehicle speed monitoring module is electrically connected with an overspeed early warning module and a long-time idling early warning module. According to the supervision system, the traditional mode that only the state of a driver can be supervised is changed, and various modules are adopted for comprehensively monitoring and processing the vehicle, so that the situation that some problems of the vehicle cannot be fed back in time after occurring is avoided, and the driving safety of the driver is not influenced.

Description

Technical Field

[0001] The present invention relates to the field of artificial intelligence technology, and in particular to an artificial intelligence-based vehicle driving supervision system and method. Background Art

[0002] According to the patents published on the China Patent Network, the patent name is: A smart driving supervision method and system based on artificial intelligence, and the patent application number is: 202410265437.1. Fuzzy judgment is made based on the historical behavior feature set of the driver on several historical driving routes, and the historical driving routes are divided into several state sub-segments. At the same time, the driving stress level of each state sub-segment at different time periods is obtained; the initial path between the driving departure point and the driving destination is constructed according to the driving destination input by the user, and the real-time driving state of the driver is judged according to the real-time behavior feature set of the driver on the driving route, and voice information is generated according to the real-time driving state to remind the driver; after the voice reminder to the driver, if the driver is still distracted or fatigued within the alert time, a decision is made based on the driver's current driving environment, and a driving environment change suggestion is generated, so as to ensure the driver's safety while improving his comfort experience during driving; and the above-mentioned supervision system can only supervise the driver's state, but cannot supervise the overall vehicle condition, which easily leads to the failure to timely feedback after some problems occur in the vehicle, affecting the driver's driving safety.

[0003] Therefore, it is necessary to redesign the supervision system to effectively prevent the phenomenon that it cannot fully supervise the vehicle condition. Summary of the invention

[0004] In order to solve the problems raised in the above background technology, the purpose of the present invention is to provide a vehicle driving supervision system and method based on artificial intelligence, which has the advantage of being able to fully supervise the vehicle condition and solves the problem of being unable to fully supervise the vehicle condition.

[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a vehicle driving supervision system and method based on artificial intelligence, comprising a supervision unit, wherein the output unit of the supervision unit is electrically connected to a vehicle position monitoring module, a vehicle fuel consumption monitoring module, a vehicle speed monitoring module and a driving condition monitoring module, the output end of the vehicle position monitoring module is electrically connected to a GPS antenna, the output end of the GPS antenna is electrically connected to a microprocessor, the output end of the vehicle position monitoring module is electrically connected to a real-time positioning and tracking module, the output end of the real-time positioning and tracking module is electrically connected to a driving trajectory recording module, the output end of the vehicle speed monitoring module is electrically connected to an overspeed warning module and a long-time idling warning module, and the output end of the vehicle speed monitoring module is electrically connected to a speed sensor, The output end of the speed sensor is electrically connected to a signal conditioning module, the output ends of the vehicle position monitoring module, the vehicle fuel consumption monitoring module, the vehicle speed monitoring module and the driving condition monitoring module are all electrically connected to a terminal upload module, the output end of the terminal upload module is electrically connected to a data transmission module, the output end of the data transmission module is electrically connected to a controller, the output end of the controller is electrically connected to a data processing module, the output end of the data processing module is electrically connected to a data analysis module, the output end of the data analysis module is electrically connected to a driver behavior monitoring module, the output end of the driver behavior monitoring module is electrically connected to an abnormal behavior warning module, the output end of the abnormal behavior warning module is electrically connected to a behavior notification module, and the output end of the behavior notification module is electrically connected to a correction module.

[0006] As a preferred embodiment of the present invention, the output end of the driving trajectory recording module is electrically connected to an electronic map generating module, and the electronic map generating module is used in conjunction with the driving trajectory recording module.

[0007] As a preferred embodiment of the present invention, the input end of the data transmission module is electrically connected to a data storage module, and the data storage module is used in conjunction with the data transmission module.

[0008] As a preferred embodiment of the present invention, the output end of the vehicle fuel consumption monitoring module is bidirectionally electrically connected to a fuel consumption statistics module, and the fuel consumption statistics module is used in conjunction with the vehicle fuel consumption monitoring module.

[0009] As a preferred embodiment of the present invention, the input end of the supervision unit is electrically connected to a power input module, and the power input module is used in conjunction with the supervision module.

[0010] As a preferred embodiment of the present invention, the driver behavior monitoring module consists of a fatigue driving monitoring module and a distracted driving monitoring module.

[0011] As a preferred embodiment of the present invention, the signal conditioning module consists of an amplification module, a filtering module and a shaping module.

[0012] As a preferred method of use of the present invention, the following steps are included:

[0013] S1: First, the vehicle position monitoring module, vehicle fuel consumption monitoring module, vehicle speed monitoring module and driving condition monitoring module are monitored and processed by the supervision unit, and then the obtained data is transmitted to the terminal upload module, the terminal upload module transmits the signal to the data transmission module, the data transmission module transmits the data to the controller, the controller transmits the data to the data processing module, the data processing module transmits the data to the data analysis module, the data analysis module analyzes the data, and then the driver behavior monitoring module is used to monitor fatigue driving and analyze driving, and then the abnormal behavior warning module is used to warn the behavior, and then the behavior is corrected through the behavior notification module and the correction module, and then the vehicle position monitoring module performs position monitoring through the real-time positioning and tracking module and the driving trajectory recording module, and then the vehicle speed monitoring module monitors the speed of the overspeed warning module and the long-term idling warning module through the speed sensor and signal conditioning module, so as to achieve the effect of fully supervising the vehicle condition.

[0014] S2: Then the vehicle fuel consumption monitoring module records the fuel consumption through the fuel consumption statistics module, and then the data monitored by the driving trajectory recording module is displayed on the map through the electronic map generation module, and then the amplification module, filtering module and shaping module inside the signal conditioning module perform signal amplification processing, so as to achieve the effect of strengthening auxiliary monitoring.

[0015] Compared with the prior art, the present invention has the following beneficial effects:

[0016] 1. The monitoring system of the present invention changes the traditional way of only monitoring the driver's status, and adopts multiple modules to conduct comprehensive vehicle monitoring and processing, which will not lead to the failure to provide timely feedback after some problems occur in the vehicle, and will not affect the driver's driving safety.

[0017] 2. The present invention enables supervisors to understand the driving position more intuitively through the setting of the electronic map generation module, thereby increasing overall safety.

[0018] 3. The present invention can make the monitored data more secure and avoid the loss of the monitored data by setting the data storage module.

[0019] 4. The present invention can record the fuel consumption of the vehicle by setting up the fuel consumption statistics module, and can also identify which driving behaviors lead to high fuel consumption, so as to take corresponding measures to optimize fuel use.

[0020] 5. The present invention can provide the supervisory unit with more sufficient power through the provision of a power input module, thereby avoiding power failure of the supervisory unit.

[0021] 6. The present invention can monitor the driver's behavior more comprehensively and improve the quality of monitoring by configuring the driver's behavior monitoring module to consist of a fatigue driving monitoring module and a distracted driving monitoring module.

[0022] 7. The signal conditioning module of the present invention is composed of an amplification module, a filtering module and a shaping module, which can make data transmission smoother and avoid data fluctuation. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 It is a structural system diagram of the present invention;

[0024] Figure 2 is a system diagram of the driver behavior monitoring module of the present invention;

[0025] Figure 3 It is a system diagram of the signal conditioning module of the present invention. DETAILED DESCRIPTION

[0026] 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.

[0027] like Figures 1 to 3As shown, the present invention provides a vehicle driving supervision system and method based on artificial intelligence, including a supervision unit, the output unit of the supervision unit is electrically connected to a vehicle position monitoring module, a vehicle fuel consumption monitoring module, a vehicle speed monitoring module and a driving condition monitoring module, the output end of the vehicle position monitoring module is electrically connected to a GPS antenna, the output end of the GPS antenna is electrically connected to a microprocessor, the output end of the vehicle position monitoring module is electrically connected to a real-time positioning and tracking module, the output end of the real-time positioning and tracking module is electrically connected to a driving trajectory recording module, the output end of the vehicle speed monitoring module is electrically connected to an overspeed warning module and a long-time idling warning module, the output end of the vehicle speed monitoring module is electrically connected to a speed sensor, and the speed The output end of the sensor is electrically connected to the signal conditioning module, the output ends of the vehicle position monitoring module, the vehicle fuel consumption monitoring module, the vehicle speed monitoring module and the driving condition monitoring module are all electrically connected to the terminal upload module, the output end of the terminal upload module is electrically connected to the data transmission module, the output end of the data transmission module is electrically connected to the controller, the output end of the controller is electrically connected to the data processing module, the output end of the data processing module is electrically connected to the data analysis module, the output end of the data analysis module is electrically connected to the driver behavior monitoring module, the output end of the driver behavior monitoring module is electrically connected to the abnormal behavior warning module, the output end of the abnormal behavior warning module is electrically connected to the behavior notification module, and the output end of the behavior notification module is electrically connected to the correction module.

[0028] refer to Figure 1 The output end of the driving trajectory recording module is electrically connected to the electronic map generating module, and the electronic map generating module is used in conjunction with the driving trajectory recording module.

[0029] As a technical optimization solution of the present invention, by setting up an electronic map generation module, supervisors can understand the driving position more intuitively, thereby increasing overall safety.

[0030] refer to Figure 1 The input end of the data transmission module is electrically connected to the data storage module, and the data storage module is used in conjunction with the data transmission module.

[0031] As a technical optimization solution of the present invention, by setting up a data storage module, the monitored data can be made more secure and the loss of the monitored data can be avoided.

[0032] refer to Figure 1 The output end of the vehicle fuel consumption monitoring module is bidirectionally electrically connected to the fuel consumption statistics module, and the fuel consumption statistics module is used in conjunction with the vehicle fuel consumption monitoring module.

[0033] As a technical optimization solution of the present invention, by setting up a fuel consumption statistics module, the fuel consumption of the vehicle can be statistically recorded, and driving behaviors that lead to high fuel consumption can be identified, so that corresponding measures can be taken to optimize fuel use.

[0034] refer to Figure 1 The input end of the supervision unit is electrically connected to a power input module, and the power input module is used in conjunction with the supervision module.

[0035] As a technical optimization solution of the present invention, by setting the power input module, the power supply of the monitoring unit can be more sufficient, thereby avoiding power failure of the monitoring unit.

[0036] refer to Figure 2 ,The driver behavior monitoring module consists of a fatigue driving monitoring module and a distracted driving monitoring module.

[0037] As a technical optimization solution of the present invention, by configuring the driver behavior monitoring module to consist of a fatigue driving monitoring module and a distracted driving monitoring module, the driver behavior can be monitored more comprehensively, thereby improving the quality of monitoring.

[0038] refer to Figure 3 ,The signal conditioning module is composed of an amplification module, a filtering module and a shaping module.

[0039] As a technical optimization solution of the present invention, by configuring the signal conditioning module to consist of an amplification module, a filtering module and a shaping module, data transmission can be made smoother and data fluctuations can be avoided.

[0040] S1: First, the vehicle position monitoring module, vehicle fuel consumption monitoring module, vehicle speed monitoring module and driving condition monitoring module are monitored and processed by the supervision unit, and then the obtained data is transmitted to the terminal upload module, the terminal upload module transmits the signal to the data transmission module, the data transmission module transmits the data to the controller, the controller transmits the data to the data processing module, the data processing module transmits the data to the data analysis module, the data analysis module analyzes the data, and then the driver behavior monitoring module is used to monitor fatigue driving and analyze driving, and then the abnormal behavior warning module is used to warn the behavior, and then the behavior is corrected through the behavior notification module and the correction module, and then the vehicle position monitoring module performs position monitoring through the real-time positioning and tracking module and the driving trajectory recording module, and then the vehicle speed monitoring module monitors the speed of the overspeed warning module and the long-term idling warning module through the speed sensor and signal conditioning module, so as to achieve the effect of fully supervising the vehicle condition.

[0041] S2: Then the vehicle fuel consumption monitoring module records the fuel consumption through the fuel consumption statistics module, and then the data monitored by the driving trajectory recording module is displayed on the map through the electronic map generation module, and then the amplification module, filtering module and shaping module inside the signal conditioning module perform signal amplification processing, so as to achieve the effect of strengthening auxiliary monitoring.

[0042] The working principle and use process of the present invention are as follows: first, the vehicle position monitoring module, the vehicle fuel consumption monitoring module, the vehicle speed monitoring module and the driving condition monitoring module are monitored and processed by the supervision unit, and then the obtained data is transmitted to the terminal upload module, the terminal upload module transmits the signal to the data transmission module, the data transmission module transmits the data to the controller, the controller transmits the data to the data processing module, the data processing module transmits the data to the data analysis module, the data analysis module analyzes the data, and then the driver behavior monitoring module is used to monitor fatigue driving and analyze driving, and then the abnormal behavior warning module is used to warn the behavior, and then the behavior is detected by the behavior warning module. The notification module and the correction module perform behavior correction, and then the vehicle position monitoring module performs position monitoring through the real-time positioning and tracking module and the driving trajectory recording module, and then the vehicle speed monitoring module monitors the speed through the speed sensor and the signal conditioning module, and the overspeed warning module and the long-time idling warning module perform speed monitoring, so as to achieve the effect of comprehensively supervising the vehicle condition, and then the vehicle fuel consumption monitoring module records the fuel consumption through the fuel consumption statistics module, and then the data monitored by the driving trajectory recording module is displayed on the map through the electronic map generation module, and then the amplification module, filtering module and shaping module inside the signal conditioning module perform signal amplification processing, so as to achieve the effect of strengthening auxiliary monitoring.

[0043] To sum up: the vehicle driving supervision system and method based on artificial intelligence has changed the traditional way of only supervising the driver's status through the supervision system, and adopts multiple modules to conduct comprehensive vehicle monitoring and processing, which will not lead to the failure to provide timely feedback after some problems occur in the vehicle, nor will it affect the driver's driving safety.

[0044] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0045] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A vehicle driving supervision system based on artificial intelligence, comprising a supervision unit, characterized in that: The output unit of the supervision unit is electrically connected to a vehicle position monitoring module, a vehicle fuel consumption monitoring module, a vehicle speed monitoring module and a driving condition monitoring module, respectively; the output end of the vehicle position monitoring module is electrically connected to a GPS antenna, the output end of the GPS antenna is electrically connected to a microprocessor, the output end of the vehicle position monitoring module is electrically connected to a real-time positioning and tracking module, the output end of the real-time positioning and tracking module is electrically connected to a driving trajectory recording module, the output end of the vehicle speed monitoring module is electrically connected to an overspeed warning module and a long-time idling warning module, the output end of the vehicle speed monitoring module is electrically connected to a speed sensor, the output end of the speed sensor is electrically connected to a signal conditioning module, the The output ends of the vehicle position monitoring module, the vehicle fuel consumption monitoring module, the vehicle speed monitoring module and the driving condition monitoring module are all electrically connected to the terminal upload module, the output end of the terminal upload module is electrically connected to the data transmission module, the output end of the data transmission module is electrically connected to the controller, the output end of the controller is electrically connected to the data processing module, the output end of the data processing module is electrically connected to the data analysis module, the output end of the data analysis module is electrically connected to the driver behavior monitoring module, the output end of the driver behavior monitoring module is electrically connected to the abnormal behavior warning module, the output end of the abnormal behavior warning module is electrically connected to the behavior notification module, and the output end of the behavior notification module is electrically connected to the correction module.

2. The vehicle driving supervision system based on artificial intelligence according to claim 1 is characterized in that: The output end of the driving track recording module is electrically connected to an electronic map generating module, and the electronic map generating module is used in conjunction with the driving track recording module.

3. The vehicle driving supervision system based on artificial intelligence according to claim 1 is characterized in that: The input end of the data transmission module is electrically connected to a data storage module, and the data storage module is used in conjunction with the data transmission module.

4. The vehicle driving supervision system based on artificial intelligence according to claim 1 is characterized in that: The output end of the vehicle fuel consumption monitoring module is bidirectionally electrically connected to a fuel consumption statistics module, and the fuel consumption statistics module is used in conjunction with the vehicle fuel consumption monitoring module.

5. The vehicle driving supervision system based on artificial intelligence according to claim 1 is characterized in that: The input end of the supervision unit is electrically connected to a power input module, and the power input module is used in conjunction with the supervision module.

6. The vehicle driving supervision system based on artificial intelligence according to claim 1 is characterized in that: The driver behavior monitoring module consists of a fatigue driving monitoring module and a distracted driving monitoring module.

7. The vehicle driving supervision system based on artificial intelligence according to claim 1 is characterized in that: The signal conditioning module is composed of an amplification module, a filtering module and a shaping module.

8. A method for a vehicle driving supervision system based on artificial intelligence according to any one of the above claims, characterized in that: The following steps are involved: S1: First, the vehicle position monitoring module, vehicle fuel consumption monitoring module, vehicle speed monitoring module and driving condition monitoring module are monitored and processed by the supervision unit, and then the obtained data is transmitted to the terminal upload module, the terminal upload module transmits the signal to the data transmission module, the data transmission module transmits the data to the controller, the controller transmits the data to the data processing module, the data processing module transmits the data to the data analysis module, the data analysis module analyzes the data, and then the driver behavior monitoring module is used to monitor fatigue driving and analyze driving, and then the abnormal behavior warning module is used to warn the behavior, and then the behavior is corrected through the behavior notification module and the correction module, and then the vehicle position monitoring module performs position monitoring through the real-time positioning and tracking module and the driving trajectory recording module, and then the vehicle speed monitoring module monitors the speed of the overspeed warning module and the long-term idling warning module through the speed sensor and signal conditioning module, so as to achieve the effect of fully supervising the vehicle condition. S2: Then the vehicle fuel consumption monitoring module records the fuel consumption through the fuel consumption statistics module, and then the data monitored by the driving trajectory recording module is displayed on the map through the electronic map generation module, and then the amplification module, filtering module and shaping module inside the signal conditioning module perform signal amplification processing, so as to achieve the effect of strengthening auxiliary monitoring.

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