CN116684142A - Auxiliary driving system and method based on Internet of things - Google Patents
Auxiliary driving system and method based on Internet of things Download PDFInfo
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- 238000012549 training Methods 0.000 claims abstract description 46
- 238000007405 data analysis Methods 0.000 claims abstract description 22
- 238000012544 monitoring process Methods 0.000 claims abstract description 9
- 238000004891 communication Methods 0.000 claims abstract description 4
- 230000006870 function Effects 0.000 claims description 64
- 238000004458 analytical method Methods 0.000 claims description 25
- 238000012360 testing method Methods 0.000 claims description 20
- 230000006698 induction Effects 0.000 claims description 13
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- 238000012806 monitoring device Methods 0.000 claims description 7
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/08—Network architectures or network communication protocols for network security for authentication of entities
- H04L63/0861—Network architectures or network communication protocols for network security for authentication of entities using biometrical features, e.g. fingerprint, retina-scan
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
- G06Q50/205—Education administration or guidance
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
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- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B9/00—Simulators for teaching or training purposes
- G09B9/02—Simulators for teaching or training purposes for teaching control of vehicles or other craft
- G09B9/04—Simulators for teaching or training purposes for teaching control of vehicles or other craft for teaching control of land vehicles
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- H04L67/01—Protocols
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- H—ELECTRICITY
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
- H04L9/40—Network security protocols
Abstract
The invention discloses an auxiliary driving system based on the Internet of things, which relates to the technical field of safety and comprises an intelligent management center, wherein the intelligent management center is in communication connection with a user management module, a data acquisition module, a database module, a data analysis module and an intelligent operation module; the user management module is used for acquiring the relevant information of the vehicle owner and training and auditing the user of the vehicle; the data acquisition module is used for acquiring related data in the vehicle; the database module is used for storing data information of the user passing the auditing; the data analysis module is used for judging whether danger exists in the driving process of a user according to the obtained data, generating corresponding information and sending the corresponding information to the intelligent operation module; the intelligent operation module is used for controlling the vehicle according to the received information; the invention has the beneficial effects of monitoring the process of using the auxiliary driving function by the user.
Description
Technical Field
The invention relates to the technical field of safety, in particular to a driving assisting system and method based on the Internet of things.
Background
Along with the development of scientific technology, the Internet of things technology is gradually perfected, the application range is wider and wider, the Internet of things is also gradually applied to vehicles in the process of using the vehicles, the related data are monitored through intelligent sensors, the control of the vehicles is further realized according to the related data, and corresponding auxiliary driving functions are provided for the drivers in the process of driving the vehicles;
at present, most of auxiliary driving functions of vehicles can only be used under the specified condition, and cannot be used for replacing people to execute the driving functions, and the vehicle program cannot be executed in percentage, however, many drivers who are not aware of the auxiliary driving functions can blindly use the auxiliary driving functions of the vehicles or excessively rely on the auxiliary driving functions of the vehicles, and finally safety accidents are caused. Therefore, how to avoid excessive dependence on auxiliary driving functions when a driver drives a vehicle is a problem that we need to solve, and therefore, an auxiliary driving system and method based on the internet of things are now provided.
Disclosure of Invention
In order to solve the technical problems, the invention aims to provide an auxiliary driving system and method based on the Internet of things.
The aim of the invention can be achieved by the following technical scheme: the auxiliary driving system based on the Internet of things comprises an intelligent management center, wherein the intelligent management center is in communication connection with a user management module, a data acquisition module, a database module, a data analysis module and an intelligent operation module;
the user management module is used for acquiring relevant information of an owner of the vehicle, managing and controlling the vehicle by the owner of the vehicle, training and auditing the user of the vehicle, and judging whether the user is granted with permission to use the auxiliary driving function of the vehicle according to the auditing result;
the data acquisition module is used for acquiring related data in the vehicle and uploading the acquired related data to the data analysis module;
the database module is used for storing the related information of the vehicle owner and the user acquired by the user management module and converting the related information into reference data;
the data analysis module is used for carrying out comparison analysis according to the reference data and the related data acquired by the data acquisition module, and judging and generating related auxiliary information to the intelligent operation module according to an analysis result;
the intelligent operation module is used for receiving relevant auxiliary information, controlling the vehicle according to various auxiliary information and reminding a driver.
Further, a registration unit and a permission configuration unit are arranged in the user management module; the registration unit is used for submitting relevant personal basic information by a user, wherein the personal basic information comprises a face photo for biological recognition; the permission configuration unit is used for the vehicle owner to set permission for using the auxiliary driving function for other users; and submitting a use application through the authority configuration unit, wherein the use application comprises a user name and a face photo of the user biological identification, and after the use application passes the auditing, generating a corresponding personnel storage space according to the user name, and storing the information of the user by the personnel storage space.
Further, the user management module is also provided with a training management unit; the training management unit is used for training and managing vehicle owners and users, wherein a learning training subunit and a training examination subunit are arranged, learning materials of various auxiliary driving functions of the vehicle are stored in the learning training subunit, a time monitoring device is also arranged, the time monitoring device is used for monitoring time data corresponding to the vehicle owners or the users when learning the related auxiliary driving function learning materials, a learning time threshold of the corresponding learning materials is set, the obtained time data is compared with the corresponding learning time threshold, and whether the vehicle owners or the users are granted with permission to enter the training examination subunit is judged according to the result.
Further, the training and checking subunit is used for learning and checking the car owners or users, wherein the problem libraries corresponding to various learning materials are stored in the training and checking subunit, the related problems in the problem libraries are selected, driving-assisting function test questions are generated, and corresponding qualification scores and answer times are set for the test questions; the vehicle owner or the user completes corresponding test questions of the auxiliary driving function within a specified answering time, the training and checking subunit performs modification to obtain the test score of the user, the obtained test score is compared with the qualified score, whether the vehicle owner or the user passes the checking is judged according to the result, the authority of using the auxiliary driving function of the vehicle is set for the person passing the checking, and the checking result is uploaded to the database module.
Further, a personnel storage unit is arranged in the database module and is used for storing information of corresponding users, analyzing and processing face photos for biological recognition, which are uploaded by the users checked by the training checking subunit, and setting the obtained face photos as corresponding face reference data.
Further, the data acquisition module is provided with a face recognition unit and a human body induction unit; the human face recognition unit is used for collecting human face photo data of a user in the cab, the human body sensing unit is arranged in a steering wheel of the vehicle and used for monitoring gesture data of the user after the vehicle enters an auxiliary driving function, and the monitored human face photo data and gesture data are uploaded to the data analysis module and analyzed by the data analysis module.
Further, the data analysis module is provided with a face analysis unit and a human body induction analysis unit; the face analysis unit is used for analyzing the face photo data, analyzing and matching the obtained face photo data with the face reference photo stored in the database module, and judging whether to grant the user with the auxiliary driving function of the vehicle according to the matching result; if the matching is successful, generating an auxiliary driving function instruction according to the needs of the user and sending the auxiliary driving function instruction to the intelligent operation module; the human body induction analysis unit is used for analyzing and processing the acquired gesture data; the gesture data comprise first data and second data, the first data are the placement information of a first hand monitored on a vehicle steering wheel, and the second data are the placement information of a second hand monitored on the vehicle steering wheel; when only the first data exists in the gesture data, the gesture data indicates that a user operates with one hand; when the gesture data comprises the first data and the second data, the gesture data indicates that a user is operated by two hands; when the gesture data does not contain the first data, the vehicle is indicated to be unmanned; the duration of corresponding data in gesture data is acquired, a corresponding time threshold is set by a human body induction analysis unit, the acquired duration and the time threshold are compared and analyzed, and whether corresponding auxiliary early warning information is generated or not is judged according to analysis results and is sent to an intelligent operation module.
Further, the intelligent operation module is used for receiving related information and controlling the vehicle, and when the intelligent operation module receives an auxiliary driving function instruction, the intelligent operation module controls the vehicle to complete corresponding functions; when the auxiliary early warning information is received, the driver is reminded, and the running speed of the vehicle is gradually slowed down.
Compared with the prior art, the invention has the beneficial effects that: the user management module is used for learning and training the vehicle owner or the user of the vehicle, so that the user can know the auxiliary driving function of the vehicle, and grant the user with the permission to use the auxiliary driving function of the vehicle after the corresponding examination is completed, so that the potential safety hazard caused by misuse due to the fact that the user is unfamiliar with the auxiliary driving function can be avoided;
in addition, the human body sensing device is used for monitoring the mastering degree of a steering wheel when a user uses the vehicle driving assisting function, a corresponding time threshold value is set, and whether dangerous behaviors exist in the driving process of the user or not is judged through comparison, so that the user is reminded.
Drawings
FIG. 1 is a schematic diagram of the present invention;
Detailed Description
As shown in fig. 1, an auxiliary driving system based on the internet of things comprises an intelligent management center; the intelligent management center is in communication connection with a user management module, a data acquisition module, a database module, a data analysis module and an intelligent operation module;
the user management module is used for a vehicle owner to manage and control the vehicle, and the specific implementation process comprises the following steps:
the user management module is provided with a registration unit and a login unit, the registration unit is used for registering the identity of a vehicle owner, judging whether the user accords with corresponding standards according to corresponding identity registration results, the user inputs relevant personal identity information through the registration unit, the personal identity information comprises the name, the age, the identity card number, a face photo for biological identification and a real-name authentication mobile phone number, the obtained personal identity information is uploaded to the intelligent management center, the intelligent management center carries out verification, if the verification passes, the authority of the user entering the user management module is granted according to the personal identity information input by the user, a corresponding login account number and a corresponding login password are generated in the user real-name authentication mobile phone number, and if the verification does not pass, corresponding rejection information is generated in the user real-name authentication mobile phone number;
the login unit is used for corresponding identity authentication of the user, and judging whether the user is granted with permission to enter the user management module according to the registration result obtained by the registration unit; the user inputs a login account corresponding to the user and a login password through a login unit, the intelligent management center performs identity verification to obtain the login account, if the matching fails, the user is not authorized to login, if the matching is successful, further analysis is performed to obtain a login password corresponding to the stored login account, the obtained login password is matched with the login password input by the user, and whether the user is authorized to enter the user management module is judged according to the matching result; if the matching is successful, the authority of logging in the user management module is granted; if the matching fails, the authority of logging in the user management module is not granted;
the user management module is provided with a training management unit and a permission configuration unit;
the permission configuration unit is used for a vehicle owner to set corresponding use permissions for other users of the vehicle, and the specific operation process comprises the following steps of;
the permission configuration unit is provided with corresponding personnel storage space which is used for a vehicle owner to set corresponding permissions for each personnel using the vehicle; the vehicle owner submits a corresponding application through the authority configuration unit, the application and the personnel storage space are related to each other, when the vehicle owner submits the corresponding application, the corresponding personnel storage space is generated, and the personnel storage space is marked; the application comprises the name, sex and face photo for biological recognition of the user; the labels of the personnel storage spaces are set according to names in the application;
uploading the application submitted by the permission configuration unit to an intelligent management center, checking by the intelligent management center, and judging whether to put the content in the application into a corresponding personnel storage space according to the checking result; if the verification is passed, the personnel storage space is put into the corresponding personnel storage space; if the verification is not passed, not placing the personnel in the corresponding personnel storage space;
the training management unit is used for training and managing the vehicle owners and the users of the vehicles; the training management unit is provided with a learning training sub-unit and a training auditing sub-unit;
the learning training subunit is internally provided with a time monitoring device which is used for monitoring the time corresponding to the learning materials of the relevant auxiliary driving functions of the vehicle owner or the user, setting a learning time threshold of the corresponding learning materials, wherein the learning time threshold is the shortest time for the corresponding learning materials to learn, and if the time data obtained by the time monitoring device does not exceed the corresponding learning time threshold, the learning training examination subunit is not opened; if the time data obtained by the time monitoring device exceeds the corresponding learning time threshold, opening a training auditing subunit for the time data;
the training examination subunit stores a problem library corresponding to various learning materials, and when a vehicle owner or a user completes related training through the learning and training subunit, related problems in the problem library are selected, a test problem of an auxiliary driving function is generated, and corresponding qualification scores and answering time are set for the test problem; the vehicle owner or the user completes corresponding test questions of the auxiliary driving function within a specified answering time, the training examination subunit carries out modification to obtain the test score of the user, the training examination subunit carries out comparison analysis on the test score and the qualified score obtained by the user, and if the test score reaches or exceeds the corresponding qualified score, the test score is indicated to be effective learning and is granted to the user for using the auxiliary driving function of the vehicle; if the test score does not exceed the corresponding qualified score, the test score is not invalid to learn, the permission of using the auxiliary driving function of the vehicle is not granted, the vehicle owner or the user needs to learn again in the learning training subunit to acquire the auxiliary driving function test question generated by the training auditing subunit, and the corresponding permission can not be granted until the test score reaches the qualified score;
the database module is used for storing related personnel information and vehicle management information, and the specific implementation process comprises the following steps:
the database module is provided with a personnel storage unit and a vehicle storage unit;
the personnel storage unit is used for storing information of corresponding users, analyzing and processing the face photos of the user biological identification uploaded by the users checked by the training checking subunit, and setting the obtained face photos as corresponding face reference data;
the vehicle storage unit is used for storing vehicles corresponding to corresponding users or users;
the data acquisition module is used for acquiring relevant data information in the vehicle, and the specific implementation process comprises the following steps:
the data acquisition module is provided with a face recognition unit and a human body induction unit;
the face recognition unit is used for monitoring related face photo data, uploading the face photo data recognized by the face recognition unit to the data analysis module, and processing the corresponding face photo data by the data analysis module;
it should be further noted that, in the implementation process, the face recognition unit is installed at a corresponding position of the vehicle, where the position can recognize a face in the vehicle cab, locate the face in the cab, and monitor relevant face photo data in real time;
the human body sensing unit is used for monitoring human body data in the vehicle, is arranged on a steering wheel, is provided with corresponding human body sensors, and is mutually related with auxiliary driving functions of the vehicle; when the auxiliary driving function in the vehicle is in an on state, a human body sensing unit arranged in the vehicle is started; when the auxiliary driving function in the vehicle is in a closed state, a human body sensing unit arranged in the vehicle is not started;
uploading the data on the steering wheel obtained by the human body sensing unit to a data analysis module, and processing the data by the data analysis module;
the data analysis module is used for receiving the data information acquired by the data acquisition module and processing the data information, and the specific implementation process comprises the following steps:
the data analysis module is provided with a face analysis unit and a human body induction analysis unit;
the face analysis unit is used for processing the face photo data uploaded by the data acquisition module;
the face analysis unit is mutually related to the auxiliary driving function of the vehicle, compares the monitored face photo data with face reference data in the database module, judges whether the face photo data is matched with the face reference data through the comparison analysis, does not grant the permission of using the auxiliary driving function if the matching is unsuccessful, and generates an auxiliary driving function instruction according to the requirement of a user if the matching is successful and sends the auxiliary driving function instruction to the intelligent operation module;
the human body induction analysis unit is used for analyzing and processing the related conditions of the auxiliary driving function used in the running process of the vehicle and analyzing the human body data obtained by the human body induction unit;
the human body induction analysis unit stores initial data of a human body induction unit installed in the steering wheel of the vehicle, the initial data is a range set by a sensor in the steering wheel, and corresponding data is analyzed and processed according to the range received by the sensor;
the human body data obtained by the human body sensing unit are data of a steering wheel held by a driver, the data are recorded as gesture data, and the gesture data comprise two groups, namely first data and second data; the first data is the placement information of a first hand monitored on the steering wheel of the vehicle, and the second data is the placement information of a second hand monitored on the steering wheel of the vehicle;
setting a single-hand operation time threshold, wherein the single-hand operation time threshold is a time range in which only first data last on a steering wheel acquired by a data acquisition module; setting an unmanned operation time threshold, wherein the unmanned operation time threshold is the longest time range in which no related first data are sustained on the steering wheel acquired by the data acquisition module;
when the first data and the second data are collected on a steering wheel in the vehicle, indicating that a user is operated by two hands, generating an auxiliary safety function and uploading the auxiliary safety function to an intelligent operation module;
when only first data are collected on a steering wheel in the vehicle, indicating that a user operates the steering wheel with one hand, acquiring the duration of one hand operation of the collected first data on the steering wheel, comparing and analyzing the acquired duration of one hand operation with a threshold value of one hand operation time, if the duration of one hand operation exceeds the threshold value of one hand operation time, generating auxiliary early warning information to an intelligent operation module, and if the duration of one hand operation does not exceed the threshold value of one hand operation time, not generating the auxiliary early warning information to the intelligent operation module;
when first data are not acquired on a steering wheel in the vehicle, acquiring unmanned operation duration time of the first data which are not acquired on the steering wheel, comparing and analyzing the acquired unmanned operation duration time with an unmanned operation time threshold value, if the unmanned operation duration time exceeds the unmanned operation time threshold value, generating auxiliary early warning information to an intelligent operation module, and if the unmanned operation duration time does not exceed the unmanned operation time threshold value, not generating the auxiliary early warning information to the intelligent operation module;
the intelligent operation module is used for receiving the related information sent by the data analysis module and controlling the vehicle, and the specific implementation process comprises the following steps:
the intelligent operation module is mutually associated with the auxiliary driving function of the vehicle, and controls the auxiliary driving function of the vehicle according to the received related information;
when the intelligent operation module receives an auxiliary driving function instruction, analyzing road conditions, judging whether the conditions of the operation of the auxiliary driving function are met, if so, executing the corresponding auxiliary driving function in the vehicle, and if not, not executing the corresponding auxiliary driving function in the vehicle, and generating corresponding feedback information to a user;
when the intelligent operation module receives the auxiliary safety information, the intelligent operation module operates according to the set auxiliary driving function;
when the intelligent operation module receives the auxiliary early warning information, reminding a driver according to the set related parameters, and gradually slowing down the running speed of the vehicle;
an auxiliary driving method based on the Internet of things comprises the following steps:
step S1: acquiring relevant information of a user, and carrying out relevant training and auditing of a vehicle auxiliary driving function on the relevant user;
step S2: judging whether the user is authorized to use the auxiliary driving function of the vehicle according to the auditing result;
step S3: acquiring related data information, uploading the related data information to a database module, and generating corresponding reference data information;
step S4: analyzing and processing the acquired related data information and the reference data information, generating corresponding information according to the analyzed result, and sending the corresponding information to the intelligent operation module;
step S5: corresponding information is received, the vehicle is operated and controlled according to the corresponding information, and a driver is reminded.
The above embodiments are only for illustrating the technical method of the present invention and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present invention may be modified or substituted without departing from the spirit and scope of the technical method of the present invention.
Claims (9)
1. The auxiliary driving system based on the Internet of things comprises an intelligent management center, and is characterized in that the intelligent management center is in communication connection with a user management module, a data acquisition module, a database module, a data analysis module and an intelligent operation module;
the user management module is used for acquiring relevant information of an owner of the vehicle, managing and controlling the vehicle by the owner of the vehicle, training and auditing the user of the vehicle, and judging whether the user is granted with permission to use the auxiliary driving function of the vehicle according to the auditing result;
the data acquisition module is used for acquiring related data in the vehicle and uploading the acquired related data to the data analysis module;
the database module is used for storing the related information of the vehicle owner and the user acquired by the user management module and converting the related information into reference data;
the data analysis module is used for carrying out comparison analysis according to the reference data and the related data acquired by the data acquisition module, and judging and generating related auxiliary information to the intelligent operation module according to an analysis result;
the intelligent operation module is used for receiving relevant auxiliary information, controlling the vehicle according to various auxiliary information and reminding a driver.
2. The driving assistance system based on the internet of things according to claim 1, wherein a registration unit and a permission configuration unit are set in the user management module; the registration unit is used for submitting relevant personal basic information by a user, wherein the personal basic information comprises a face photo for biological recognition; the permission configuration unit is used for the vehicle owner to set permission for using the auxiliary driving function for other users; and submitting a use application through the authority configuration unit, wherein the use application comprises a user name and a face photo of the user biological identification, and after the use application passes the auditing, generating a corresponding personnel storage space according to the user name, and storing the information of the user by the personnel storage space.
3. The driving assistance system based on the internet of things according to claim 2, wherein the user management module is further provided with a training management unit; the training management unit is used for training and managing vehicle owners and users, wherein a learning training subunit and a training examination subunit are arranged, learning materials of various auxiliary driving functions of the vehicle are stored in the learning training subunit, a time monitoring device is also arranged, the time monitoring device is used for monitoring time data corresponding to the vehicle owners or the users when learning the related auxiliary driving function learning materials, a learning time threshold of the corresponding learning materials is set, the obtained time data is compared with the corresponding learning time threshold, and whether the vehicle owners or the users are granted with permission to enter the training examination subunit is judged according to the result.
4. The driving assistance system based on the internet of things according to claim 3, wherein the training and checking subunit is configured to perform learning and checking on a vehicle owner or a user, wherein a problem library corresponding to various learning materials is stored in the training and checking subunit, relevant problems in the problem library are selected, driving assistance function test questions are generated, and corresponding qualification scores and answer times are set for the training and checking subunit; the vehicle owner or the user completes corresponding test questions of the auxiliary driving function within a specified answering time, the training and checking subunit performs modification to obtain the test score of the user, the obtained test score is compared with the qualified score, whether the vehicle owner or the user passes the checking is judged according to the result, the authority of using the auxiliary driving function of the vehicle is set for the person passing the checking, and the checking result is uploaded to the database module.
5. The driving assistance system based on the internet of things according to claim 4, wherein a personnel storage unit is arranged in the database module, the personnel storage unit is used for storing information of corresponding users, analyzing and processing face photos for biological recognition uploaded by the users checked by the training checking subunit, and setting the obtained face photos as corresponding face reference data.
6. The driving assistance system based on the internet of things according to claim 5, wherein a face recognition unit and a human body sensing unit are arranged in the data acquisition module; the human face recognition unit is used for collecting human face photo data of a user in the cab, the human body sensing unit is arranged in a steering wheel of the vehicle and used for monitoring gesture data of the user after the vehicle enters an auxiliary driving function, and the monitored human face photo data and gesture data are uploaded to the data analysis module and analyzed by the data analysis module.
7. The driving assistance system based on the internet of things according to claim 6, wherein a face analysis unit and a human body induction analysis unit are arranged in the data analysis module; the face analysis unit is used for analyzing the face photo data, analyzing and matching the obtained face photo data with the face reference photo stored in the database module, and judging whether to grant the user with the auxiliary driving function of the vehicle according to the matching result; if the matching is successful, generating an auxiliary driving function instruction according to the needs of the user and sending the auxiliary driving function instruction to the intelligent operation module; the human body induction analysis unit is used for analyzing and processing the acquired gesture data; the gesture data comprise first data and second data, the first data are the placement information of a first hand monitored on a vehicle steering wheel, and the second data are the placement information of a second hand monitored on the vehicle steering wheel; when only the first data exists in the gesture data, the gesture data indicates that a user operates with one hand; when the gesture data comprises the first data and the second data, the gesture data indicates that a user is operated by two hands; when the gesture data does not contain the first data, the vehicle is indicated to be unmanned; the duration of corresponding data in gesture data is acquired, a corresponding time threshold is set by a human body induction analysis unit, the acquired duration and the time threshold are compared and analyzed, and whether corresponding auxiliary early warning information is generated or not is judged according to analysis results and is sent to an intelligent operation module.
8. The driving assistance system based on the internet of things according to claim 7, wherein the intelligent operation module is configured to receive related information and control the vehicle, and when the intelligent operation module receives the driving assistance function instruction, control the vehicle to perform a corresponding function; when the auxiliary early warning information is received, the driver is reminded, and the running speed of the vehicle is gradually slowed down.
9. The driving assistance method of the driving assistance system based on the internet of things according to any one of claims 1 to 8, comprising the steps of:
step S1: acquiring relevant information of a user, and carrying out relevant training and auditing of a vehicle auxiliary driving function on the relevant user;
step S2: judging whether the user is authorized to use the auxiliary driving function of the vehicle according to the auditing result;
step S3: acquiring related data information, uploading the related data information to a database module, and generating corresponding reference data information;
step S4: analyzing and processing the acquired related data information and the reference data information, generating corresponding information according to the analyzed result, and sending the corresponding information to the intelligent operation module;
step S5: corresponding information is received, the vehicle is operated and controlled according to the corresponding information, and a driver is reminded.
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