Intelligent vehicle-mounted biological monitoring system

Abstract

The invention relates to the technical field of vehicle-mounted biological monitoring, in particular to an intelligent vehicle-mounted biological monitoring system which comprises a data acquisition module, a data processing module, a control terminal, an intelligent algorithm analysis module, a vehicle-mounted equipment control module and an emergency control module. The data acquisition module is used for monitoring the in-vehicle environment and the physiological indexes of a driver and passengers in real time, and the intelligent algorithm analysis module is used for carrying out risk assessment on the health condition of the passengers and the driving state of the driver; the vehicle-mounted equipment control module controls the vehicle-mounted equipment according to the suggested content and the requirements of passengers and drivers, the environment in the vehicle is adjusted, if the assessment result is high risk, it is indicated that the drivers are in the condition of sudden diseases, the emergency control module uses a vehicle intelligent control system to automatically take measures, and therefore the safety of the drivers is improved. And the vehicle is controlled to slowly approach the roadside for safe parking, so that traffic accidents are avoided, and the functionality is higher.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle-mounted biological monitoring, and in particular to an intelligent vehicle-mounted biological monitoring system. Background Art

[0002] With the improvement of people's living standards and increasing attention to health issues, the interior environment of the vehicle has a significant impact on the health of drivers and passengers.

[0003] Traditional in-vehicle health monitoring systems mainly focus on monitoring the driver's physiological indicators, such as heart rate, blood pressure, etc. However, this single monitoring method cannot fully reflect the overall health status of the in-vehicle environment and potential health risks, and cannot perform emergency control of the vehicle to avoid risks when the driver suddenly becomes ill, and its functionality is poor. Summary of the invention

[0004] The purpose of the present invention is to provide an intelligent vehicle-mounted biological monitoring system to solve the problem that the traditional vehicle-mounted health monitoring system in the prior art mainly focuses on monitoring the driver's physiological indicators, such as heart rate, blood pressure, etc. However, this single monitoring method cannot fully reflect the overall health status and potential health risks of the in-vehicle environment, and cannot perform emergency control of the vehicle to avoid risks when the driver suddenly becomes ill, and has poor functionality.

[0005] To achieve the above-mentioned purpose, the present invention provides an intelligent vehicle-mounted biological monitoring system, which includes a data acquisition module, a data processing module, a control terminal, the intelligent algorithm analysis module, a vehicle-mounted equipment control module and an emergency control module. The control terminal is internally provided with the data processing module, the intelligent algorithm analysis module, the vehicle-mounted equipment control module and the emergency control module. The data acquisition module is used to collect in-vehicle environmental information and physiological indicators of the driver and the passengers, and upload the collected data to the data processing module. The data processing module is used to perform data cleaning, data integration and feature extraction on the collected data, and provide data support for the intelligent algorithm analysis module. The intelligent algorithm analysis module performs risk assessment on the health status of the passengers and the driving status of the driver based on the algorithm model and the processed data information, and provides corresponding warnings and suggestions. The vehicle-mounted equipment control module controls the vehicle-mounted equipment based on the suggestions provided by the intelligent algorithm analysis module, and the emergency control module performs emergency control on the vehicle based on the warnings provided by the intelligent algorithm analysis module.

[0006] Among them, the data acquisition module includes an environment acquisition submodule, a monitoring camera, a vital sign information acquisition submodule and a storage submodule. The environment acquisition submodule is used to collect environmental data in the vehicle in real time, the monitoring camera is used to collect physiological indicators of passengers and drivers, the vital sign information acquisition submodule is used to collect the driver's vital sign information in real time, and the storage submodule is used to record the data obtained by the environment acquisition submodule, the monitoring camera and the vital sign information acquisition submodule in real time, and store them in the vehicle's data storage device.

[0007] Among them, the data processing module includes a data cleaning submodule, a data integration submodule and a feature extraction submodule. The data cleaning submodule is used to clean the collected raw data to ensure the quality and integrity of the data. The data integration submodule is used to integrate the data of the environment acquisition submodule, the monitoring camera and the vital sign information acquisition submodule to form comprehensive in-vehicle environment and passenger and driver health status monitoring data. The feature extraction submodule extracts key features through a data analysis algorithm to provide data support for the intelligent algorithm analysis module.

[0008] Among them, the intelligent algorithm analysis module includes an algorithm model submodule, a risk assessment submodule, a suggestion submodule and a warning submodule. The algorithm model submodule establishes an intelligent algorithm model based on machine learning or deep learning, which is used to analyze monitoring data and discover potential health risks. The risk assessment submodule performs risk assessment on the health status of passengers and the driving status of the driver based on the monitoring data and the algorithm model. If the risk assessment submodule assesses the health status of passengers and the driving status of the driver as low risk, the suggestion submodule sends voice suggestion information to the passengers and the driver through the in-vehicle voice, and transmits the low-risk assessment result to the in-vehicle equipment control module. If the risk assessment submodule assesses the health status of the driver as high risk, the warning submodule sends a warning message to the passengers and the driver, and transmits the high-risk assessment result to the emergency control module.

[0009] Among them, the risk assessment submodule contains a high risk assessment formula, and the high risk assessment formula is as follows:

[0010] C = f(D, T)

[0011] Among them, C represents the emergency control instruction, D represents the driver's health status data, and T represents the time threshold. When D is lower than the preset safety threshold and lasts for more than T time, the early warning submodule sends a warning message to the passenger and transmits the high-risk assessment result to the emergency control module.

[0012] Among them, the emergency control module includes a cut-off submodule, an intelligent execution submodule and a warning submodule. The cut-off submodule is used to immediately cut off the driver's manual operation information and send an emergency control signal to the intelligent execution submodule. The intelligent execution submodule is used to control the vehicle to slowly stop on the road through the vehicle system in an emergency and ensure that the parking process is smooth and safe. The warning submodule is used to send warning information to surrounding vehicles during the emergency parking process to remind other vehicles to pay attention to avoid.

[0013] The intelligent execution submodule is implemented as follows:

[0014] After receiving the emergency control signal through the vehicle computer system, the intelligent execution submodule is started;

[0015] According to the current speed of the vehicle and the road conditions, a smooth deceleration acceleration curve is calculated to ensure that the vehicle can stop safely. The calculation formula can be expressed as:

[0016] a=f(v,d,t)

[0017] Where a is the acceleration, v is the current speed, d is the distance to the safe parking position, and t is the required time;

[0018] The vehicle control system gradually reduces the vehicle speed according to the calculated acceleration curve until it comes to a complete stop.

[0019] The emergency control module further includes an emergency rescue notification submodule, which is used to automatically send a rescue notification to a hospital and provide vehicle location information in an emergency.

[0020] An intelligent vehicle-mounted biological monitoring system of the present invention monitors the in-vehicle environment and the physiological indicators of the driver and passengers in real time through the data acquisition module, and performs risk assessment on the health status of the passengers and the driving status of the driver through the intelligent algorithm analysis module, and provides corresponding warnings and suggestions. If the assessment result is low risk, the in-vehicle equipment control module controls the in-vehicle equipment according to the suggestion content and the needs of the passengers and the driver, and adjusts the in-vehicle environment. If the assessment result is high risk, indicating that the driver is in a state of sudden illness, the emergency control module will automatically take measures using the vehicle intelligent control system to control the vehicle to slowly approach the roadside and park safely to avoid traffic accidents. The technical solution can comprehensively monitor the in-vehicle environment and the health status of the passengers, timely discover potential health risks, and take appropriate control measures in emergency situations, with stronger functionality. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0022] Figure 1 The figure is a schematic diagram of the operation principle of the intelligent vehicle-mounted biological monitoring system provided by the present invention.

[0023] Figure 2 It is a principle block diagram of the control terminal provided by the present invention.

[0024] 101-data acquisition module, 102-data processing module, 103-control terminal, 104-the intelligent algorithm analysis module, 105-vehicle equipment control module, 106-emergency control module, 107-environment acquisition submodule, 108-monitoring camera, 109-vital sign information acquisition submodule, 110-storage submodule, 111-data cleaning submodule, 112-data integration submodule, 113-feature extraction submodule, 114-algorithm model submodule, 115-risk assessment submodule, 116-suggestion submodule, 117-early warning submodule, 118-cut-off submodule, 119-intelligent execution submodule, 120-warning submodule, 121-emergency rescue notification submodule. DETAILED DESCRIPTION

[0025] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and should not be construed as limiting the present invention.

[0026] See also Figure 1 Zhihe Figure 2The present invention provides an intelligent vehicle-mounted biological monitoring system, which includes a data acquisition module 101, a data processing module 102, a control terminal 103, the intelligent algorithm analysis module 104, a vehicle-mounted device control module 105 and an emergency control module 106. The control terminal 103 is internally provided with the data processing module 102, the intelligent algorithm analysis module 104, the vehicle-mounted device control module 105 and the emergency control module 106. The data acquisition module 101 is used to collect in-vehicle environmental information and physiological indicators of the driver and passengers, and upload the collected data to the data processing module 103. The data processing module 102 is used to clean, integrate and extract features of the collected data, and provide data support for the intelligent algorithm analysis module 104. The intelligent algorithm analysis module 104 performs risk assessment on the health status of passengers and the driving status of the driver based on the algorithm model and the processed data information, and provides corresponding warnings and suggestions. The on-board equipment control module 105 controls the on-board equipment based on the suggestions provided by the intelligent algorithm analysis module 104, and the emergency control module 106 performs emergency control of the vehicle based on the warnings provided by the intelligent algorithm analysis module 104.

[0027] In this embodiment, the data acquisition module 101 is used to monitor the in-vehicle environment and the physiological indicators of the driver and passengers in real time, and the intelligent algorithm analysis module 104 is used to perform risk assessment on the health status of the passengers and the driving status of the driver, and provide corresponding warnings and suggestions. If the assessment result is low risk, the on-board equipment control module 105 controls the on-board equipment and adjusts the in-vehicle environment according to the recommended content and the needs of the passengers and the driver. If the assessment result is high risk, it indicates that the driver is in a state of sudden illness, then the emergency control module 106 will automatically take measures using the vehicle intelligent control system to control the vehicle to slowly approach the roadside and park safely to avoid traffic accidents. The use of this technical solution can comprehensively monitor the in-vehicle environment and the health status of passengers, promptly detect potential health risks, and take appropriate control measures in emergency situations, with stronger functionality.

[0028] Furthermore, the data acquisition module 101 includes an environment acquisition submodule 107, a monitoring camera 108, a vital sign information acquisition submodule 109 and a storage submodule 110. The environment acquisition submodule 107 is used to collect environmental data in the vehicle in real time, the monitoring camera 108 is used to collect physiological indicators of passengers and drivers, the vital sign information acquisition submodule 109 is used to collect vital sign information of the driver in real time, and the storage submodule 110 is used to record the data acquired by the environment acquisition submodule 107, the monitoring camera 108 and the vital sign information acquisition submodule 109 in real time, and store them in the vehicle's data storage device.

[0029] In this embodiment, the environment collection submodule 107 includes an air quality sensor, a temperature sensor, a humidity sensor, etc. The physiological indicators of passengers and drivers collected by the monitoring camera 108 include facial expressions, skin conditions, etc. The vital signs information collection submodule 109 collects the driver's vital signs information including heart rate, blood pressure, etc.

[0030] Furthermore, the data processing module 102 includes a data cleaning submodule 111, a data integration submodule 112 and a feature extraction submodule 113. The data cleaning submodule 111 is used to clean the collected raw data to ensure the quality and integrity of the data. The data integration submodule 112 is used to integrate the data of the environment acquisition submodule 107, the monitoring camera 108 and the vital sign information acquisition submodule 109 to form comprehensive in-vehicle environment and passenger and driver health status monitoring data. The feature extraction submodule 113 extracts key features through a data analysis algorithm to provide data support for the intelligent algorithm analysis module 104.

[0031] Furthermore, the intelligent algorithm analysis module 104 includes an algorithm model submodule 114, a risk assessment submodule 115, a suggestion submodule 116 and a warning submodule 117. The algorithm model submodule 114 establishes an intelligent algorithm model based on machine learning or deep learning to analyze monitoring data and discover potential health risks. The risk assessment submodule 115 performs a risk assessment on the health status of the passengers and the driving status of the driver based on the monitoring data and the algorithm model. If the risk assessment submodule 115 assesses the health status of the passengers and the driving status of the driver as low risk, the suggestion submodule 116 sends voice suggestion information to the passengers and the driver through the in-vehicle voice, and transmits the low-risk assessment result to the in-vehicle equipment control module 105. If the risk assessment submodule 115 assesses the health status of the driver as high risk, the warning submodule 117 sends a warning message to the passengers and the high-risk assessment result to the emergency control module 106.

[0032] The risk assessment submodule 115 contains a high risk assessment formula, which is as follows:

[0033] C = f(D, T)

[0034] Among them, C represents the emergency control instruction, D represents the driver's health status data, and T represents the time threshold. When D is lower than the preset safety threshold and lasts for more than T time, the early warning submodule 117 sends a warning message to the passenger and transmits the high-risk assessment result to the emergency control module 106.

[0035] Furthermore, the emergency control module 106 includes a cut-off submodule 118, an intelligent execution submodule 119 and a warning submodule 120. The cut-off submodule 118 is used to immediately cut off the driver's manual operation information and send an emergency control signal to the intelligent execution submodule 119. The intelligent execution submodule 119 is used to control the vehicle to slowly stop on the road through the vehicle system in an emergency and ensure that the parking process is smooth and safe. The warning submodule 120 is used to send warning information to surrounding vehicles during the emergency parking process to remind other vehicles to pay attention to avoid.

[0036] The cut-off submodule 118 is implemented as follows:

[0037] Through the cooperation of the data acquisition module 101 and the intelligent algorithm analysis module 104, once the driver abnormality (such as cardiac arrest, sudden illness, etc.) is detected, an emergency control signal is immediately triggered;

[0038] The emergency control signal acts on the vehicle's control system to cut off the driver's manual operation authority, such as steering wheel, accelerator, brake and other operation inputs;

[0039] At the same time, the submodule must also ensure the stability and safety of the vehicle to prevent the vehicle from losing control after the cut-off operation.

[0040] The intelligent execution submodule 119 is implemented as follows:

[0041] After receiving the emergency control signal through the vehicle system, the intelligent execution submodule 119 is started;

[0042] According to the current speed of the vehicle and the road conditions, a smooth deceleration acceleration curve is calculated to ensure that the vehicle can stop safely. The calculation formula can be expressed as:

[0043] a=f(v,d,t)

[0044] Where a is the acceleration, v is the current speed, d is the distance to the safe parking position, and t is the required time;

[0045] The vehicle control system gradually reduces the vehicle speed according to the calculated acceleration curve until it comes to a complete stop.

[0046] The warning submodule 120 is implemented as follows:

[0047] Send emergency stop warning information to surrounding vehicles through the vehicle's communication system (such as vehicle networking, wireless communication, etc.);

[0048] The warning information includes the vehicle's location, the reason for the emergency stop (such as the driver's sudden illness), and recommended avoidance measures.

[0049] Furthermore, the emergency control module 106 also includes an emergency rescue notification submodule 121, and the emergency rescue notification submodule 121 is used to automatically send a rescue notification to the hospital and provide vehicle location information in an emergency.

[0050] The emergency rescue notification submodule 121 is implemented as follows:

[0051] Send the rescue request to the designated hospital or emergency center through the vehicle's communication system (such as vehicle networking, mobile communication network, etc.);

[0052] The rescue request includes the vehicle's location information (such as latitude and longitude coordinates), the driver's name, health status (such as the type of disease initially diagnosed), emergency contact information, etc.

[0053] What is disclosed above is only a preferred embodiment of the present invention, and it certainly cannot be used to limit the scope of rights of the present invention. Ordinary technicians in this field can understand that all or part of the processes of the above embodiment and equivalent changes made according to the claims of the present invention still fall within the scope of the invention.

Claims

1. An intelligent vehicle-mounted biological monitoring system, characterized in that: It includes a data acquisition module, a data processing module, a control terminal, the intelligent algorithm analysis module, a vehicle-mounted equipment control module and an emergency control module. The control terminal is internally provided with the data processing module, the intelligent algorithm analysis module, the vehicle-mounted equipment control module and the emergency control module. The data acquisition module is used to collect in-vehicle environmental information and physiological indicators of the driver and passengers, and upload the collected data to the data processing module. The data processing module is used to perform data cleaning, data integration and feature extraction on the collected data, and provide data support for the intelligent algorithm analysis module. The intelligent algorithm analysis module performs risk assessment on the health status of passengers and the driving status of the driver based on the algorithm model and the processed data information, and provides corresponding warnings and suggestions. The vehicle-mounted equipment control module controls the vehicle-mounted equipment based on the suggestions provided by the intelligent algorithm analysis module, and the emergency control module performs emergency control of the vehicle based on the warnings provided by the intelligent algorithm analysis module.

2. The intelligent vehicle-mounted biological monitoring system according to claim 1, characterized in that: The data acquisition module includes an environment acquisition submodule, a monitoring camera, a vital sign information acquisition submodule and a storage submodule. The environment acquisition submodule is used to collect environmental data in the vehicle in real time, the monitoring camera is used to collect physiological indicators of passengers and drivers, the vital sign information acquisition submodule is used to collect the driver's vital sign information in real time, and the storage submodule is used to record the data obtained by the environment acquisition submodule, the monitoring camera and the vital sign information acquisition submodule in real time, and store them in the vehicle's data storage device.

3. The intelligent vehicle-mounted biological monitoring system according to claim 2, characterized in that: The data processing module includes a data cleaning submodule, a data integration submodule and a feature extraction submodule. The data cleaning submodule is used to clean the collected raw data to ensure the quality and integrity of the data. The data integration submodule is used to integrate the data of the environment acquisition submodule, the monitoring camera and the vital sign information acquisition submodule to form comprehensive in-vehicle environment and passenger and driver health status monitoring data. The feature extraction submodule extracts key features through a data analysis algorithm to provide data support for the intelligent algorithm analysis module.

4. The intelligent vehicle-mounted biological monitoring system as claimed in claim 3, characterized in that: The intelligent algorithm analysis module includes an algorithm model submodule, a risk assessment submodule, a suggestion submodule and an early warning submodule. The algorithm model submodule establishes an intelligent algorithm model based on machine learning or deep learning, which is used to analyze monitoring data and discover potential health risks. The risk assessment submodule performs risk assessment on the health status of passengers and the driving status of the driver based on the monitoring data and the algorithm model. If the risk assessment submodule assesses the health status of passengers and the driving status of the driver as low risk, the suggestion submodule sends voice suggestion information to the passengers and the driver through in-vehicle voice, and transmits the low-risk assessment result to the in-vehicle equipment control module. If the risk assessment submodule assesses the health status of the driver as high risk, the early warning submodule sends a warning message to the passengers and the high-risk assessment result to the emergency control module.

5. The intelligent vehicle-mounted biological monitoring system according to claim 4, characterized in that: The risk assessment submodule contains a high risk assessment formula, which is as follows: C = f(D, T) Among them, C represents the emergency control instruction, D represents the driver's health status data, and T represents the time threshold. When D is lower than the preset safety threshold and lasts for more than T time, the early warning submodule sends a warning message to the passenger and transmits the high-risk assessment result to the emergency control module.

6. The intelligent vehicle-mounted biological monitoring system according to claim 5, characterized in that: The emergency control module includes a cut-off submodule, an intelligent execution submodule and a warning submodule. The cut-off submodule is used to immediately cut off the driver's manual operation information and send an emergency control signal to the intelligent execution submodule. The intelligent execution submodule is used to control the vehicle to slowly stop on the road through the vehicle system in an emergency and ensure that the parking process is smooth and safe. The warning submodule is used to send warning information to surrounding vehicles during the emergency parking process to remind other vehicles to pay attention to avoid.

7. The intelligent vehicle-mounted biological monitoring system according to claim 6, characterized in that: The implementation of the intelligent execution submodule is as follows: After receiving the emergency control signal through the vehicle computer system, the intelligent execution submodule is started; According to the current speed of the vehicle and the road conditions, a smooth deceleration acceleration curve is calculated to ensure that the vehicle can stop safely. The calculation formula can be expressed as: a=f(v,d,t) Where a is the acceleration, v is the current speed, d is the distance to the safe parking position, and t is the required time; The vehicle control system gradually reduces the vehicle speed according to the calculated acceleration curve until it comes to a complete stop.

8. The intelligent vehicle-mounted biological monitoring system according to claim 7, characterized in that: The emergency control module also includes an emergency rescue notification submodule, which is used to automatically send a rescue notification to a hospital and provide vehicle location information in an emergency.

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