Vehicle active safety early warning device and early warning method based on call center

Abstract

The invention relates to a vehicle active safety early warning device and early warning method based on a call center, and the early warning device comprises a vehicle-mounted equipment module, a data analysis server, and a call center module. The vehicle-mounted equipment module is composed of an MCU control unit, a GNSS positioning module, a driver visual recognition module, a lateral blind area early warning module, a forward collision early warning module and a 4G communication module. A vehicle positioning database, a vehicle early warning database, a data analysis engine and an Internet of Vehicles data gateway are installed in the data analysis server; the call center module is composed of a telephone traffic center server SIP switch and a mobile terminal. The vehicle-mounted equipment module is connected with a vehicle networking data gateway of the data analysis server through the 4G communication module, and the data analysis server is connected with a telephone traffic center server of the call center module through an intranet communication network cable. The system has the advantages that the real-time monitoring and active early warning of the vehicle safety state are realized, the motorcade management efficiency is improved, and the driving safety is guaranteed.

Description

Technical Field

[0001] The invention relates to a vehicle active safety early warning device and an early warning method based on a call center, belonging to the technical field of vehicle monitoring and early warning systems in transportation systems. Background Art

[0002] The existing fleet safety monitoring system mainly relies on personnel to monitor vehicle data in real time and remind drivers who violate traffic rules through walkie-talkies, telephones, etc. However, this method requires monitoring personnel to analyze the data of a large number of vehicles in real time, which is a heavy workload and prone to omissions. Especially when there are a large number of vehicles or abnormal data occurs, it is difficult for monitoring personnel to handle all risk events in a timely manner, which may result in safety hazards not being discovered and dealt with in a timely manner.

[0003] Through the analysis of the existing vehicle safety monitoring system, it is found that the following problems exist in the existing vehicle safety monitoring system: (1) Manual monitoring is inefficient and cannot meet the needs of large-scale vehicle management; (2) The response speed to potential risks is insufficient, making it difficult to intervene in a timely manner; (3) The communication method limits the driver's concentration, further increasing driving risks; (4) The system lacks intelligent analysis and active warning capabilities and is more limited to post-event processing; (5) It is difficult to achieve personalized warnings for different drivers and road conditions. Summary of the invention

[0004] The purpose of the present invention is to provide a vehicle active safety warning device and warning method based on a call center, which integrates advanced sensing technology, communication technology and data analysis technology to achieve real-time monitoring and active warning of vehicle safety status, improve fleet management efficiency, and ensure driving safety, in response to the problems existing in the existing vehicle safety monitoring system.

[0005] The technical solution of the present invention is as follows: The vehicle active safety warning device of the present invention includes: an in-vehicle device module, a data analysis server, and a call center module. The in-vehicle device module consists of an MCU control unit capable of integrating and processing multi-source signals and generating preliminary warning information, a GNSS positioning module for collecting real-time position data and vehicle speed of the vehicle, a driver vision recognition module for monitoring the driver's state through a camera and image algorithm, a lateral blind spot warning module and a forward collision warning module for identifying potential risks during vehicle driving, and a 4G communication module responsible for uploading the collected vehicle data to the server in real time; in the data analysis server, there are installed a vehicle positioning database for storing the historical position information of the vehicle, a vehicle warning database for storing the abnormal event records of the vehicle, a data analysis engine for intelligently analyzing real-time data, and a vehicle networking data gateway responsible for data transmission and protocol conversion between different modules; the call center module consists of a call center server responsible for processing alarm signals from the vehicle and issuing warnings to the driver or fleet administrator, an SIP switch as a bridge between the server data and the telephone communication network to ensure that the warning information can be quickly transmitted in the form of a telephone, and a mobile terminal for receiving warning information calls and SMS messages; the in-vehicle device module is connected to the vehicle networking data gateway of the data analysis server through the 4G communication module, and the data analysis server is connected to the call center server of the call center module through an internal network communication cable.

[0006] The GNSS positioning module, the driver vision recognition module, the lateral blind spot warning module, the forward collision warning module, and the 4G communication module are respectively connected to the MCU control unit through corresponding communication interfaces; The call center server is connected to the SIP switch through an internal network communication cable, and the SIP switch is connected to the mobile terminal through a 4G or 5G network; A warning method for a vehicle active safety warning device based on a call center includes the following steps: (1) Data collection and analysis: The blind spot camera of the lateral blind spot warning module monitors the blind spot or side area of the vehicle to identify potential risk targets; the forward collision warning camera of the forward collision warning module monitors the road conditions in front of the vehicle in real time to detect obstacles that may cause collisions; the driver camera of the driver vision recognition module monitors the state of the driver in real time to identify behaviors such as fatigue driving and distracted driving; the MCU control unit receives the image and video data from each camera and combines the in-vehicle sensor data for comprehensive analysis by the data analysis engine, and judges whether the vehicle currently reaches the warning trigger condition through an algorithm. (2) Data upload and processing: When the warning condition is triggered, the MCU control unit uploads the warning information to the data analysis server through the 4G communication module; after receiving the warning information from the in-vehicle device, the data analysis server classifies and processes it according to the severity of the warning. (3) Early warning response mechanism: The data analysis server issues corresponding early warning response instructions according to the preset early warning levels, which are executed by the call center module; (4) Data storage and management: The vehicle active safety early warning device stores all early warning information and vehicle operation data in the vehicle early warning database and vehicle positioning database of the data analysis server, which are used to generate statistical reports and optimize the early warning algorithm.

[0007] The comprehensive analysis performed by the data analysis engine in step (1) includes identification of illegal driving behaviors and prediction of potential risks; The classification and processing according to the severity of the early warning in step (2) divides the early warning levels into 3 levels: Level 2 early warning: Severe dangerous situations, such as long-term fatigue driving or distracted driving of the driver. The vehicle active safety early warning device immediately notifies the driver and safety management personnel by phone, issues an emergency stop order, and freezes the current transportation task until the danger is eliminated; Level 1 early warning: Higher risk situations, such as driver fatigue. The vehicle active safety early warning device notifies the driver and safety officer by text message, prompting them to take preventive measures; Level 0 early warning: Minor risk situations, such as minor lane deviation behavior. The vehicle active safety early warning device records the early warning information and archives it for subsequent analysis; The data analysis server in step (3) issues corresponding early warning response instructions according to the preset early warning levels, which are executed by the call center module. Specifically: Level 2 early warning response: The vehicle active safety early warning device immediately contacts the driver and safety officer by phone and issues an emergency stop instruction; automatically freezes the transportation task and ensures that it can continue only after the danger is eliminated; Level 1 early warning response: The vehicle active safety early warning device notifies the driver and safety officer by text message, reminding them to pay attention to possible potential risks; Level 0 early warning response: The vehicle active safety early warning device archives the early warning information in the vehicle early warning database, providing data support for subsequent management and analysis.

[0008] The beneficial effects of the present invention are: (1) Intelligence and high efficiency: Through the linkage between in-vehicle devices and the data analysis server, real-time monitoring of vehicle operation status and abnormal analysis are achieved, avoiding the inefficiency and lag of traditional manual monitoring, and greatly improving the timeliness and accuracy of early warnings.

[0009] (2) Multi-level early warning mechanism: Graded responses (Level 0, Level 1, Level 2) are carried out according to the severity of risks, which can reasonably allocate resources, take immediate emergency measures for high-risk situations, effectively reduce the accident rate, and at the same time reduce unnecessary interference.

[0010] (3) Initiative and reliability: Integrating multiple warning modules (such as fatigue monitoring, collision detection, etc.), it can detect potential risks in advance, actively intervene in the behavior of drivers and vehicles, and ensure driving safety.

[0011] (4) Management optimization: The storage and analysis of warning data provide data support for subsequent fleet operation management, helping the fleet optimize scheduling and risk management.

[0012] The present invention improves the intelligence and efficiency of fleet safety monitoring, reduces the traffic accident rate, and has significant social and economic benefits. Description of the Drawings

[0013] Figure 1 is the structural block diagram of the vehicle active safety warning device; Figure 2 is the flow chart of the warning method of the present invention. Detailed Embodiments

[0014] The present invention will be further described below in conjunction with embodiments, but it does not constitute a limitation to the protection scope of the present invention: Embodiment 1

[0015] Referring to the attached Figure 1 , the vehicle active safety warning device of the present invention includes: an in-vehicle device module, a data analysis server, and a call center module. The in-vehicle device module consists of an MCU control unit that can integrate and process multi-source signals and generate preliminary warning information, a GNSS positioning module for collecting the real-time position data and vehicle speed of the vehicle, a driver vision recognition module that monitors the driver's state through a camera and image algorithm, such as fatigue driving or distracted attention, a lateral blind spot warning module and a forward collision warning module for identifying possible risks during vehicle driving, and a 4G communication module responsible for uploading the collected vehicle data to the server in real time; the data analysis server is installed with a vehicle positioning database for storing the historical position information of the vehicle, a vehicle warning database for storing the abnormal event records of the vehicle, a data analysis engine for intelligently analyzing real-time data, and a vehicle networking data gateway responsible for data transmission and protocol conversion between different modules; the call center module consists of a call center server responsible for processing alarm signals from the vehicle and issuing warnings to the driver or fleet administrator, an SIP switch that serves as a bridge between the server data and the telephone communication network to ensure that warning information can be quickly transmitted in the form of a telephone, and a mobile terminal for receiving warning information calls and SMS; the in-vehicle device module is connected to the vehicle networking data gateway of the data analysis server through the 4G communication module, and the data analysis server is connected to the call center server of the call center module through an internal network communication network cable.

[0016] The GNSS positioning module, model: ATGM336H, manufacturer: Hangzhou Zhongke Microelectronics Co., Ltd.; The driver vision recognition module: model: VO3B-DSM, manufacturer: Huizhou Boshi Jie Technology Co., Ltd.; The lateral blind spot warning module and the forward collision warning module: model: VO3B-QX, manufacturer: Huizhou Boshi Jie Technology Co., Ltd.; The 4G communication module: model: EC200, manufacturer: Shanghai Quectel Wireless Solutions Co., Ltd.; The MCU control unit: model: STM32F103C8T6, manufacturer: STMicroelectronics (China) Investment Co., Ltd.; The vehicle networking data gateway: model: DP2200, manufacturer: Huawei Data Communication; The vehicle positioning database and the vehicle warning database: developed based on MySQL; The traffic center server: model: TTH-3, manufacturer: Chengdu Tianrun Communication Technology Co., Ltd.; The mobile terminals: the driver's mobile phone, the team leader's mobile phone.

[0017] The GNSS positioning module, the driver vision recognition module, the lateral blind spot warning module, the forward collision warning module, and the 4G communication module are respectively connected to the MCU control unit through corresponding communication interfaces; The traffic center server is connected to the SIP switch through an intranet communication network cable, and the SIP switch is connected to the mobile terminal through a 4G or 5G network.

[0018] Refer to Appendix Figure 2 , the working process of the vehicle active safety warning device of the present invention for warning: The driver vision recognition module: installed in the cab, the camera captures the facial image data of the driver in real time, including the features of the eyes, mouth and head; The MCU control unit: processes the collected image data, and judges whether the driver has a fatigue driving behavior through a fatigue recognition algorithm; The 4G communication module: if the fatigue driving risk reaches the warning condition, the MCU control unit uploads the analysis result to the data analysis server; The data analysis server: performs hierarchical response according to the fatigue level: Mild fatigue (level 0 warning): send a voice reminder; Moderate fatigue (level 1 warning): notify the driver and the team safety officer by text message; Severe fatigue (level 2 warning): immediately call the driver to stop and freeze the task.

Claims

1. A vehicle active safety warning device based on a call center, characterized by: include: The vehicle-mounted equipment module, data analysis server, and call center module are composed of an MCU control unit that can integrate and process multi-source signals and generate preliminary warning information, a GNSS positioning module for collecting real-time location data and vehicle speed of the vehicle, a driver visual recognition module that monitors the driver's status through a camera and image algorithm, a lateral blind spot warning module and a forward collision warning module for identifying risks that may occur during vehicle driving, and a 4G communication module responsible for uploading the collected vehicle data to the server in real time; the data analysis server is equipped with a vehicle positioning database that stores the historical location information of the vehicle, a vehicle warning database that stores abnormal event records of the vehicle, a data analysis engine that performs intelligent analysis of real-time data, and a vehicle network data gateway that is responsible for data transmission and protocol conversion between different modules; the call center module is composed of a call center server that is responsible for processing alarm signals from vehicles and issuing warnings to drivers or fleet managers, a SIP switch that serves as a bridge between server data and telephone communication networks to ensure that warning information can be quickly transmitted through telephones, and a mobile terminal that receives warning information calls and mobile phone text messages; The vehicle-mounted equipment module is connected to the Internet of Vehicles data gateway of the data analysis server through the 4G communication module, and the data analysis server is connected to the call center server of the call center module through the intranet communication cable.

2. The vehicle active safety warning device based on the call center according to claim 1 is characterized in that: The GNSS positioning module, the driver vision recognition module, the lateral blind spot warning module, the forward collision warning module, and the 4G communication module are respectively connected to the MCU control unit through corresponding communication interfaces.

3. The vehicle active safety warning device based on the call center according to claim 1 is characterized in that: The call center server is connected to the SIP switch via an intranet communication cable, and the SIP switch is connected to the mobile terminal via a 4G or 5G network.

4. A warning method for a vehicle active safety warning device based on a call center according to claim 1, characterized in that: The steps include: (1) Data collection and analysis: The blind spot camera of the lateral blind spot warning module monitors the blind spot or side area of ​​the vehicle to identify potential risk targets; the front collision warning camera of the forward collision warning module monitors the road conditions in front of the vehicle in real time and detects obstacles that may cause collisions; the driver camera of the driver vision recognition module monitors the driver's status in real time and identifies behaviors such as fatigue driving and distracted driving; the MCU control unit receives image and video data from each camera, and combines the on-board sensor data for comprehensive analysis by the data analysis engine, and uses the algorithm to determine whether the vehicle currently meets the warning trigger conditions; (2) Data upload and processing: When the warning condition is triggered, the MCU control unit uploads the warning information to the data analysis server through the 4G communication module; After receiving the warning information from the vehicle-mounted equipment, the data analysis server classifies and processes the warning according to its severity; (3) Early warning response mechanism: The data analysis server issues corresponding early warning response instructions according to the preset early warning level, which are executed by the call center module; (4) Data storage and management: The vehicle active safety warning device stores all warning information and vehicle operation data in the vehicle warning database and vehicle positioning database of the data analysis server for generating statistical reports and optimizing warning algorithms.

5. The early warning method of the vehicle active safety early warning device based on the call center according to claim 4 is characterized in that: The data analysis engine performs a comprehensive analysis as described in step (1), including identification of illegal driving behaviors and prediction of potential risks.

6. The early warning method of the vehicle active safety early warning device based on the call center according to claim 4 is characterized by: The classification process according to the severity of the warning described in step (2) is to divide the warning level into 3 levels: Level 2 warning: Severe danger: The vehicle's active safety warning device immediately notifies the driver and safety management personnel by phone, issues an emergency stop order, and freezes the current transportation task until the danger is eliminated; Level 1 warning: higher risk situation: the vehicle's active safety warning device notifies the driver and safety officer via text message, prompting them to take preventive measures; Level 0 warning: Minor risk situation: The vehicle's active safety warning device records the warning information and archives it for subsequent analysis.

7. The early warning method of the vehicle active safety early warning device based on the call center according to claim 6 is characterized by: The data analysis server described in step (3) issues a corresponding warning response instruction according to the preset warning level, which is executed by the call center module. Specifically: Level 2 warning response: The vehicle's active safety warning device immediately calls the driver and safety officer and issues an emergency stop command; it automatically freezes the transportation task to ensure that it can continue only after the danger is eliminated; Level 1 warning response: The vehicle's active safety warning device notifies the driver and safety officer via text message to remind them to pay attention to potential risks; Level 0 warning response: The vehicle's active safety warning device archives the warning information in the vehicle warning database to provide data support for subsequent management and analysis.

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