Intelligent network connection vehicle safety management system

Abstract

The invention relates to the technical field of intelligent networked vehicles, in particular to an intelligent networked vehicle safety management system, which comprises a monitoring module, a data analysis module and a control module, and is characterized in that the control module comprises an in-vehicle early warning assembly, an emergency braking assembly and an automatic alarm assembly, and the monitoring module is used for analyzing the overall state of a vehicle in the driving process; the data analysis module records data of the monitoring module, and the control module is used for receiving signals of the monitoring module and the data analysis module and taking over the vehicle emergency control right. According to the intelligent networked vehicle safety management system, the monitoring module and the data analysis module are matched with each other to monitor the vehicle state and perform detailed analysis and comparison on the data to judge whether the vehicle and a driver are in a normal state or not, and when the vehicle has an accident and the driver cannot respond, self-braking and alarming can be performed; and the vehicle can be remotely and directly controlled, so that the influence range of vehicle accidents is reduced, property loss and casualties are reduced, and the public traffic safety is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent networked vehicles, and in particular to a safety management system for intelligent networked vehicles. Background Art

[0002] Intelligent connected vehicles are an emerging cross-technology and cross-industry automotive system. They refer to the organic combination of vehicle networks and smart cars. They are a new generation of cars that can eventually replace human operation. Intelligent connected vehicles are usually new energy vehicles and hybrid vehicles. At this stage, intelligent connected vehicles have gradually developed towards highly automated driving. In order to ensure driving safety, intelligent connected vehicles need to be remotely monitored.

[0003] At the current stage, the safety management systems of intelligent connected vehicles usually only have monitoring and recording functions, and are unable to automatically alarm or remotely operate the vehicle. When the driver encounters an accident and is unable to operate the vehicle, it is easy to increase the danger caused by the vehicle.

[0004] In order to solve the above-mentioned problems of remote alarm and remote intervention operation, an intelligent connected vehicle safety management system is proposed. Summary of the invention

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0006] The present invention provides a safety management system for an intelligent networked vehicle, comprising a monitoring module, a data analysis module and a control module. The control module comprises an in-vehicle warning component, an emergency braking component and an automatic alarm component. The monitoring module is used to analyze the overall state of the vehicle during driving. The data analysis module records the data of the monitoring module. The control module is used to receive signals from the monitoring module and the data analysis module and take over emergency control of the vehicle.

[0007] As a preferred technical solution of the present invention, the monitoring module includes a driving record component, a speed sensor, a vehicle positioning component, a water temperature sensor, a G-sensor gravity sensing component, a battery power monitoring component and an induction radar. The driving record component and the vehicle positioning component record the vehicle's driving route in real time, and the speed sensor receives the speed signal of the vehicle during driving and transmits it to the data analysis module in real time.

[0008] As a preferred technical solution of the present invention, the water temperature sensor monitors the engine temperature in real time, the G-sensor gravity sensing component monitors the instantaneous acceleration of the vehicle and determines the vehicle posture and driving status, and the battery power monitoring component monitors the remaining power of the vehicle battery in real time.

[0009] As a preferred technical solution of the present invention, the driving recording component stores the video of the driving process and uploads it to the vehicle status analysis component. The vehicle-mounted positioning component performs GPS positioning on the vehicle position, which is used for the remote monitoring host to monitor the vehicle position and driving route. The speed analysis component is used to receive the speed signal sent by the speed sensor and perform processing and analysis, and perform real-time monitoring of the average speed of the vehicle during driving and calculate and record the average speed.

[0010] As a preferred technical solution of the present invention, the data analysis module includes a route analysis component, a speed analysis component, a vehicle status analysis component and a battery status analysis component. The route analysis component, the speed analysis component and the battery status analysis component are independent of each other. The vehicle status analysis component receives signals sent by the route analysis component, the speed analysis component and the battery status analysis component, and performs processing and analysis.

[0011] As a preferred technical solution of the present invention, the data analysis module is connected to an external big data network, the route analysis component records the vehicle's driving route and compares it with the expected driving route, the speed analysis component compares the speed data transmitted by the speed sensor with the road speed limit, and the vehicle status analysis component receives the transmission data of the driving record component, water temperature sensor, battery power monitoring component and induction radar, and makes an overall judgment and analysis on the vehicle status.

[0012] As a preferred technical solution of the present invention, the data analysis module is connected to a remote monitoring host, and the remote monitoring host is connected to an external display device and a manual control component, and the manual control component is used to remotely control the opening and closing of the emergency braking component and the automatic alarm component inside the car.

[0013] As a preferred technical solution of the present invention, the in-vehicle warning component and emergency braking component receive information collected and transmitted by each component in the data analysis module, the automatic alarm component receives the control signal of the central control component in the vehicle, and the vehicle status analysis component sets the abnormal fluctuation of the G-sensor gravity sensing component data as an emergency situation, and the other states are non-emergency situations.

[0014] As a preferred technical solution of the present invention, the data analysis module transmits the analyzed data results to the remote monitoring host for storage, the screen display device summarizes and displays the data, and the screen display device and the control module both receive control signals from the manual control component.

[0015] The beneficial effects of the present invention are as follows: the intelligent networked vehicle safety management system, through the cooperation of the monitoring module and the data analysis module, monitors the vehicle status and performs detailed analysis and comparison of its data to determine whether the vehicle and the driver are in a normal state. When the vehicle has an accident and the driver cannot react, it can brake and alarm automatically, and can also directly control the vehicle remotely, thereby reducing the impact range of the vehicle accident, reducing property losses and casualties, and improving public transportation safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0017] Figure 1 is a system block diagram of the present invention;

[0018] Figure 2 It is a schematic diagram of the operation flow of the present invention; DETAILED DESCRIPTION

[0019] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0020] like Figure 1-2 As shown, an intelligent connected vehicle safety management system includes a monitoring module, a data analysis module and a control module. The control module includes an in-vehicle warning component, an emergency braking component and an automatic alarm component. The monitoring module is used to analyze the overall state of the vehicle during driving. The data analysis module records the data of the monitoring module. The control module is used to receive signals from the monitoring module and the data analysis module and take over the emergency control of the vehicle.

[0021] The monitoring module includes a driving record component, a speed sensor, an on-board positioning component, a water temperature sensor, a G-sensor gravity sensing component, a battery power monitoring component and an induction radar. The driving record component and the on-board positioning component record the vehicle's driving route in real time, and the speed sensor receives the speed signal of the vehicle during driving and transmits it to the data analysis module in real time.

[0022] The G-sensor gravity sensing component determines the driving posture of the car by measuring the inertial force and instantaneous acceleration of the mass block. If the G-sensor data shows large abnormal fluctuations per unit time, it is judged as an emergency situation. The speed analysis component determines whether the vehicle is braking. If no braking is performed, it is determined that the driver has lost the ability to operate and the emergency brake is automatically activated. If emergency braking has been performed, the central control will inquire the driver's intention to alarm, and the automatic alarm component will be activated based on the driver's judgment. At the same time, the driving record component stores the video of the driving process and uploads it to the vehicle status analysis component for storage and backup.

[0023] The induction radar is used to detect obstacles around the vehicle and alert the vehicle operator. The induction radar is electrically connected to the vehicle status analysis component and the in-vehicle warning component to facilitate the driver to accurately judge the obstacles around the vehicle.

[0024] The data analysis module includes a route analysis component, a speed analysis component, a vehicle status analysis component and a battery status analysis component. The route analysis component, the speed analysis component and the battery status analysis component are independent of each other. The vehicle status analysis component receives signals sent by the route analysis component, the speed analysis component and the battery status analysis component, and performs processing and analysis.

[0025] The data analysis module is connected to a remote monitoring host, and the remote monitoring host is connected to an external screen display device and a manual control component. The manual control component is used to remotely control the opening and closing of an emergency brake component and an automatic alarm component inside the car.

[0026] The driving record component stores the video of the driving process and uploads it to the vehicle status analysis component. The vehicle positioning component performs GPS positioning of the vehicle position, which is used by the remote monitoring host to monitor the vehicle position and driving route. The vehicle analysis component compares the actual driving route with the planned or regular driving route. If the difference is too large, the in-vehicle warning component is triggered. If the driver does not respond to the warning of the in-vehicle warning component within the expected time, the warning will be fed back to the display device, and the supervisor at the display device will determine whether to intervene remotely. The speed analysis component is used to receive the speed signal sent by the speed sensor and process and analyze it, and monitor the average speed of the vehicle in real time and calculate and record the average speed.

[0027] The data analysis module is connected to the external big data network. The route analysis component records the vehicle's driving route and compares it with the expected driving route. The vehicle status analysis component receives the transmission data from the driving record component, water temperature sensor, battery power monitoring component and induction radar, and makes an overall judgment and analysis of the vehicle status.

[0028] The speed analysis component compares the speed data transmitted by the speed sensor with the road speed limit. When the vehicle speed exceeds the speed limit by 50% or more, the in-vehicle warning component is activated. The battery power monitoring component monitors the remaining power of the vehicle battery to avoid the situation where the vehicle cannot drive normally due to low battery power. The water temperature sensor monitors the engine temperature of the hybrid vehicle in real time to avoid driving risks caused by excessive engine temperature.

[0029] The in-vehicle warning component and emergency braking component receive information from each component in the data analysis module. The vehicle status analysis component sets the abnormal fluctuation of the G-sensor gravity sensing component data as an emergency situation, and the automatic alarm component receives the control signal from the in-vehicle central control.

[0030] The data analysis module transmits the analyzed data results to the remote monitoring host for storage, the screen display device summarizes and displays the data, and the screen display device and the control module both receive control signals from the manual control component.

[0031] Working principle: When using this intelligent connected vehicle safety management system, the G-sensor gravity sensing component determines the driving posture of the car by measuring the inertial force on the mass block. If the G-sensor data shows a large abnormal fluctuation per unit time, it is judged as an emergency. The speed analysis component determines whether the vehicle is braking. If the vehicle is not braking, it is judged that the driver has lost the ability to operate and automatically activates the emergency brake. If the emergency brake has been performed, the driver's intention to alarm is asked. The automatic alarm component is activated based on the driver's judgment. At the same time, the driving record component stores the video of the driving process and uploads it to the vehicle status analysis component for storage and backup;

[0032] The vehicle positioning component uses GPS to locate the vehicle and keeps the remote monitoring host monitoring the vehicle's location. The vehicle analysis component compares the actual driving route with the planned or regular driving route. If the difference is too large, the in-vehicle warning component is triggered. If the driver does not respond to the warning of the in-vehicle warning component within the expected time, the warning will be fed back to the display device, and the supervisor at the display device will determine whether to intervene remotely.

[0033] The speed sensor is electrically connected to the speed analysis component. If abnormal data is present, the vehicle speed exceeds the speed limit by 50% or more, and the in-vehicle warning component is activated;

[0034] The battery power monitoring component prevents the vehicle from being unable to drive normally due to low battery power;

[0035] The induction radar is used to detect obstacles around the vehicle and alert the vehicle operator. The induction radar is electrically connected to the vehicle status analysis component and the in-vehicle warning component to facilitate the driver to accurately judge the obstacles around the vehicle.

[0036] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An intelligent connected vehicle safety management system, characterized in that: It includes a monitoring module, a data analysis module and a control module. The control module includes an in-vehicle warning component, an emergency braking component and an automatic alarm component. The monitoring module is used to analyze the overall state of the vehicle during driving. The data analysis module records the data of the monitoring module. The control module is used to receive signals from the monitoring module and the data analysis module and take over the emergency control of the vehicle.

2. The intelligent connected vehicle safety management system according to claim 1, characterized in that: The monitoring module includes a driving record component, a speed sensor, a vehicle positioning component, a water temperature sensor, a G-sensor gravity sensing component, a battery power monitoring component and an induction radar. The driving record component and the vehicle positioning component record the vehicle's driving route in real time, and the speed sensor receives the speed signal of the vehicle during driving and transmits it to the data analysis module in real time.

3. The intelligent connected vehicle safety management system according to claim 2, characterized in that: The water temperature sensor monitors the engine temperature in real time, the G-sensor gravity sensing component monitors the instantaneous acceleration of the vehicle and determines the vehicle posture and driving status, and the battery power monitoring component monitors the remaining power of the vehicle battery in real time.

4. The intelligent connected vehicle safety management system according to claim 2, characterized in that: The driving record component stores the video of the driving process and uploads it to the vehicle status analysis component. The vehicle positioning component performs GPS positioning on the vehicle position, which is used for the remote monitoring host to monitor the vehicle position and driving route. The speed analysis component is used to receive the speed signal sent by the speed sensor and perform processing and analysis, and perform real-time monitoring of the average speed of the vehicle during driving and calculate and record the average speed.

5. The intelligent connected vehicle safety management system according to claim 1, characterized in that: The data analysis module includes a route analysis component, a speed analysis component, a vehicle status analysis component and a battery status analysis component. The route analysis component, the speed analysis component and the battery status analysis component are independent of each other. The vehicle status analysis component receives signals sent by the route analysis component, the speed analysis component and the battery status analysis component, and performs processing and analysis.

6. The intelligent connected vehicle safety management system according to claim 5, characterized in that: The data analysis module is connected to an external big data network, the route analysis component records the vehicle's driving route and compares it with the expected driving route, the speed analysis component compares the speed data transmitted by the speed sensor with the road speed limit, and the vehicle status analysis component receives the transmission data of the driving record component, water temperature sensor, battery power monitoring component and induction radar, and makes an overall judgment and analysis on the vehicle status.

7. The intelligent connected vehicle safety management system according to claim 1, characterized in that: The data analysis module is connected to a remote monitoring host, and the remote monitoring host is connected to an external screen display device and a manual control component. The manual control component is used to remotely control the opening and closing of an emergency brake component and an automatic alarm component inside the car.

8. The intelligent connected vehicle safety management system according to claim 7, characterized in that: The data analysis module transmits the analyzed data results to the remote monitoring host for storage, the screen display device summarizes and displays the data, and the screen display device and the control module both receive control signals from the manual control component.

9. The intelligent connected vehicle safety management system according to claim 1, characterized in that: The in-vehicle warning component and emergency braking component receive information collected and transmitted by each component in the data analysis module, the automatic alarm component receives the control signal of the central control component in the vehicle, and the vehicle status analysis component sets the abnormal fluctuation of the G-sensor gravity sensing component data as an emergency situation, and the other states are non-emergency situations.

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