CN114664065A - Intelligent cabin man-machine interaction method and system based on multi-information fusion - Google Patents
Intelligent cabin man-machine interaction method and system based on multi-information fusion Download PDFInfo
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- CN114664065A CN114664065A CN202210447248.7A CN202210447248A CN114664065A CN 114664065 A CN114664065 A CN 114664065A CN 202210447248 A CN202210447248 A CN 202210447248A CN 114664065 A CN114664065 A CN 114664065A
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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
- G08B21/18—Status alarms
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B7/00—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00
- G08B7/06—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00 using electric transmission, e.g. involving audible and visible signalling through the use of sound and light sources
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/123—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams
- G08G1/133—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams within the vehicle ; Indicators inside the vehicles or at stops
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W12/00—Security arrangements; Authentication; Protecting privacy or anonymity
- H04W12/06—Authentication
- H04W12/068—Authentication using credential vaults, e.g. password manager applications or one time password [OTP] applications
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Abstract
The invention provides an intelligent cockpit man-machine interaction method and system based on multi-information fusion, which relate to the technical field of information processing and comprise the following steps: acquiring all fault information and alarm information existing in the driving process of the man-machine co-driving public transport vehicle; fusing fault information and alarm information, and setting a fault grade and an alarm rule; acquiring and analyzing vehicle information, road information, front and rear vehicle information and human-computer common driving information of a human-computer common driving bus in real time, acquiring fault information and alarm information, and calculating alarm information and alarm priority required by combining fault level and alarm rule; sequentially alarming and prompting the needed alarm information according to the alarm priority from high to low; the driver processes the alarm prompts one by one. The invention fuses the alarm and fault information of different devices on the bus, analyzes and processes the information uniformly, and displays the information to the driver according to the priority, so that the driver can accurately and timely process the fault and the alarm according to the priority, and the operation complexity and the operation difficulty of the driver are reduced.
Description
Technical Field
The invention relates to the technical field of information processing, in particular to an intelligent cockpit man-machine interaction method and system based on multi-information fusion.
Background
At present, instrument desk control keys and display interfaces are arranged in many disorder modes commonly existing in buses, so that human-computer interaction of drivers and experience of driving operation are poor, intelligent devices for auxiliary driving and the like on the existing buses comprise ADAS, DMS, tire pressure, monitoring and the like, and alarm and early warning information is not designed in a unified planning mode. The driver and the dispatching platform lack effective real-time interactive tools, the driver can not be more attentive to safe driving due to excessive alarm information, a certain dysphoric psychology is caused for the driver, or the driver can not be accurately told about the current vehicle due to the fatigue psychology in alarming, and information such as passenger congestion can not be transmitted to the dispatching platform in real time. The driver can not know the position of the vehicle in front of and behind the line, and the phenomena of vehicle bunching and station entering are obvious due to the phenomena of traffic lights, traffic jam and the like.
In the construction of 'BRT 5G intelligent network connection', the express public transportation system in Xiamen city realizes multiple functions of 'over-the-horizon safe driving', 'vehicle-road cooperative green wave passing' and 'optimal speed issuing' in a 5G environment, applies the vehicle-road cooperation technology of 'BRT 5G intelligent network connection' to the public transportation system, and can realize man-machine common driving under the intelligent network connection.
Meanwhile, in the process of realizing man-machine driving, the equipment operation of a bus driver needs to be simplified, intelligent equipment on the bus is integrated, the intelligent equipment comprises the functions of ADAS, intelligent scheduling, station reporting, tire pressure, monitoring, inducing and the like, an AI driver assistant role is played, richer shift, vehicle state and safe driving information are provided for the driver, and the bus driver can obtain better and more digital driving experience in the driving process.
Disclosure of Invention
Aiming at the problems, the invention provides an intelligent cockpit man-machine interaction method and system based on multi-information fusion, which simplify the equipment operation of a man-machine co-driving bus driver and improve the digitization and the intellectualization of driving.
In order to achieve the purpose, the invention provides an intelligent cabin man-machine interaction method based on multi-information fusion, which comprises the following steps:
acquiring all fault information and alarm information existing in the driving process of the man-machine co-driving public transport vehicle;
fusing the fault information and the alarm information, and setting a fault grade and an alarm rule;
acquiring and analyzing vehicle information, road information, front and rear vehicle information and man-machine common driving information of the man-machine common driving public bus in real time, acquiring fault information and alarm information, and calculating alarm information and alarm priority required by combining fault level and alarm rule;
sequentially giving alarm prompts to the alarm information according to the alarm priority from high to low;
the driver processes the alarm prompts one by one.
As a further improvement of the present invention,
and analyzing according to the analyzed vehicle information, road information and front and rear vehicle information, distinguishing the current vehicle, the front and rear vehicles and the opposite vehicle, and synchronously displaying.
As a further improvement of the present invention,
the alarm mode of the alarm information comprises the following steps: voice only, animation/text only, and voice plus animation/text display.
As a further improvement of the present invention,
acquiring vehicle information, road information and front and rear vehicle information of the man-machine co-driving vehicle through a controller connected with the man-machine co-driving public bus;
the method comprises the steps that a socket interface is connected with a man-machine common driving system to obtain man-machine common driving information;
as a further improvement of the present invention,
when only one piece of fault information is acquired, calculating whether the information is required to be alarm information or not by combining the fault grade and the alarm rule, and if the information is required to be alarm information, directly alarming;
when two or more pieces of fault information are acquired simultaneously, calculating required alarm information and corresponding alarm priorities by combining fault grades and alarm rules, and alarming the one with the highest alarm priority;
after the driver processes one piece of alarm information, the next piece of alarm is carried out according to the alarm priority.
The invention also provides an intelligent cockpit man-machine interaction system based on multi-information fusion, which comprises the following components: a data layer, a control layer and a display layer;
the data layer is configured to:
vehicle information, road information and front and rear vehicle information sent by the controller are obtained in real time, and man-machine common driving information is obtained through a socket interface;
the control layer is used for:
analyzing the vehicle information, road information and front and rear vehicle information received by the data layer;
calculating alarm information and alarm priority required by the fault information by combining the fault grade and the alarm rule, and sending the alarm information and the alarm priority to a display layer;
packaging and sending information to be displayed to the display layer;
the display layer is used for:
the information which is sent by the control layer and needs to be displayed is reasonably arranged and displayed according to the corresponding display form;
the alarm information is sequentially displayed from high to low according to the alarm priority, and operation options are provided;
and the driver checks the alarm information and selects an operation option to finish alarm processing.
As a further improvement of the invention, the system is connected to the network through WIFI shared by the controllers of the man-machine co-driving public transport vehicles.
As a further improvement of the invention, the controllers of the man-machine co-driven buses share WIFI with the bus license plate number, and the WIFI password is encrypted through Base 64;
the system scans all current WIFI, carries out Base64 decryption on the WIFI with the bus license plate number of the bus to which the WIFI belongs through the bus license plate number to obtain a WIFI password, and is connected to the WIFI of the controller through the WIFI password.
As a further improvement of the present invention, a TCP protocol connecting the controller through an IP port;
and acquiring the vehicle information, the road information and the front and rear vehicle information sent by the controller in real time.
As a further improvement of the invention, the system also comprises a real-time detection module for detecting whether the WIFI connection state, the socket interface connection state and the data transmission state of the system and the controller are normal or not in real time;
and if the abnormality occurs, transmitting the abnormal data to the display layer for displaying.
Compared with the prior art, the invention has the beneficial effects that:
the invention fuses the alarm and fault information of different devices on the bus, analyzes and processes the information uniformly, and displays the information to the driver according to the priority, so that the driver can accurately and timely process the fault and the alarm according to the priority, and the operation complexity and the operation difficulty of the driver are reduced.
In the invention, the driver only needs to operate the emergency fault and alarm information according to the prompt, and does not need to actively operate the function irrelevant to the driving process, thereby being more beneficial to driving safety and reducing the driving difficulty.
The invention displays the bus information (front and back buses and opposite buses) and the road information (bus route information) in real time, and better assists a driver to drive the buses and master the arrival time.
The method not only serves a driver, but also provides help for maintenance personnel, and the maintenance personnel can quickly acquire fault information according to the prompt and accurately position equipment problems.
Drawings
FIG. 1 is a flowchart of an intelligent cockpit human-computer interaction method based on multi-information fusion according to an embodiment of the present invention;
fig. 2 is a schematic diagram of an intelligent cockpit human-computer interaction system based on multi-information fusion according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
The invention is described in further detail below with reference to the attached drawing figures:
as shown in fig. 1, the intelligent cockpit human-computer interaction method based on multi-information fusion provided by the invention comprises the following steps:
s1, acquiring all fault information and alarm information existing in the driving process of the man-machine co-driving public transport vehicle;
wherein the content of the first and second substances,
the vehicle fault information comprises a battery fault, a driving motor fault, a high-voltage box fault, an insulation fault, a charging fault, a CAN communication disconnection fault, an air pressure fault, a power-on fault, an ISG motor fault, an engine fault, a high-voltage air pump fault, a steering oil pump fault, a DCDC fault, an emergency steering oil pump fault, a TMS water-cooling unit fault, a clutch fault, a vehicle body attitude sensor fault, a TCU fault, a VCU power supply fault, a hydrogen management system fault, a pile fault, a DCF fault, an accelerator fault, a high-voltage emergency fault, a hand brake fault, a brake pedal fault, an EBS fault, a gear fault, a charging fault, a working state, a P gear state, a front door state, a middle door state, a back door state, power storage battery SOC (state feedback), AEB (active state feedback, a research controller positioning module fault, a research controller CAN fault and a driver screen fault;
the system fault information comprises faults of a man-machine common driving system;
the alarm information comprises tire pressure alarm, fatigue driving alarm, blind area detection alarm, pedestrian anti-collision alarm, lane departure alarm, forward collision alarm and man-machine driving alarm;
s2, fusing the fault information and the alarm information, and setting a fault grade and an alarm rule;
wherein the content of the first and second substances,
setting invalid faults, primary faults, secondary faults and tertiary faults according to the fault grades and different fault types and corresponding fault severity conditions;
fusing and sequencing the fault information and the alarm information to acquire the priority of fault and alarm processing;
the alarm rules comprise the fault grade of each fault needing to be alarmed, the alarm priority of each fault and alarm information and the alarm form of each fault.
Further, in the above-mentioned case,
the alarm mode of the alarm information comprises the following steps: voice only, animation/text only, and voice plus animation/text display.
S3, acquiring and analyzing vehicle information, road information, front and rear vehicle information and human-machine common driving information of a human-machine common driving bus in real time, acquiring fault information and alarm information, and calculating alarm information and alarm priority according to the fault level and the alarm rule;
wherein the content of the first and second substances,
acquiring vehicle information, road information and front and rear vehicle information of the man-machine co-driving vehicles through a controller connected with the man-machine co-driving public transport vehicles;
the method comprises the steps that a socket interface is connected with a man-machine common driving system to obtain man-machine common driving information;
analyzing according to the analyzed vehicle information, road information and front and rear vehicle information, comprising: analyzing to obtain fault information and/or alarm information:
if only one piece of fault information exists and no alarm information exists, and the fault level reaches the alarm level required, an alarm needs to be given, and the alarm priority is highest;
if only one piece of alarm information exists and no fault information exists, the alarm priority of the alarm information is the highest;
if more than one piece of fault information or alarm information exists and the fault level reaches the level needing alarming, determining the alarming priority of the fault information and the alarm information according to the sequence of fusion sequencing;
and distinguishing the current vehicle, the front and rear vehicles and the opposite vehicle according to the vehicle information, the road information and the front and rear vehicle information and synchronously displaying.
S4, sequentially giving alarm to the required alarm information according to the alarm priority from high to low;
wherein the content of the first and second substances,
when only one piece of fault information is acquired, calculating whether the information is required to be alarm information or not by combining the fault grade and the alarm rule, and if the information is required to be alarm information, directly alarming;
when two or more pieces of fault information are acquired simultaneously, calculating alarm information required and corresponding alarm priorities by combining fault levels and alarm rules, and alarming the piece with the highest alarm priority;
and S5, the driver processes the alarm prompts one by one.
Wherein the content of the first and second substances,
after the driver processes one piece of alarm information, the next piece of alarm is carried out according to the alarm priority.
As shown in fig. 2, the present invention further provides an intelligent cockpit human-computer interaction system based on multi-information fusion, which is loaded on a human-computer cockpit screen, and the system includes: data layer, control layer and display layer
A data layer to:
vehicle information, road information and front and rear vehicle information sent by a controller are obtained in real time, and man-machine common driving information is obtained through a socket interface;
a control layer to:
analyzing the vehicle information, road information and front and rear vehicle information received by the data layer;
calculating alarm information and alarm priority required by the fault information by combining the fault grade and the alarm rule, and sending the alarm information and the alarm priority to a display layer;
packaging and sending information to be displayed to a display layer;
a display layer to:
the information sent by the control layer and needing to be displayed is reasonably arranged and displayed according to the corresponding display form;
the alarm information is sequentially displayed from high to low according to the alarm priority, and operation options are provided;
and the driver checks the alarm information and selects an operation option to finish alarm processing.
A real-time detection module to:
detecting whether the WIFI connection state, the socket interface connection state and the data transmission state of the system and the controller are normal or not in real time;
and if the abnormity appears, transmitting the abnormal information to a display layer for displaying.
In the invention, a system is connected to a network through WIFI shared by a controller of a man-machine co-driving bus; specifically, a controller of a man-machine co-driven bus shares WIFI with a bus license plate number, and a WIFI password is encrypted through Base 64; the system scans all current WIFI, carries out Base64 decryption on the WIFI with the bus license plate number of the bus to which the WIFI belongs through the bus license plate number to obtain a WIFI password, and is connected to the WIFI of the controller through the WIFI password.
After the WIFI connection is successful, the system is connected with a TCP protocol of the controller through an IP port; and acquiring the vehicle information, the road information and the front and rear vehicle information sent by the controller in real time.
Example (b):
adopt intelligent passenger cabin screen as the carrier of system, at man-machine vehicle automatic driving in-process that drives altogether, intelligent passenger cabin screen shows map and bus route information in real time, bus place road information, bus and subtend bus information around current bus, this route:
(1) the data layer obtains vehicle information, road information and front and rear vehicle information (including tire pressure warning (TPMS), fatigue driving warning (DMS), blind zone detection warning (BSD), pedestrian anti-collision warning (PCW), Lane Departure Warning (LDW), Forward Collision Warning (FCW), air conditioner data, vehicle lamp data and various fault information) in real time through a CAN data bus of the controller. And receiving human-computer common driving vehicle information, road information and human-computer common driving alarm information through a socket (inlet).
(2) After the control layer analyzes the alarm data, the required alarm information and the alarm priority obtained by calculation are as follows: man-machine co-driving alarm > tire pressure alarm (TPMS);
(3) the display layer displays man-machine driving-sharing alarm;
(4) the driver quits the automatic driving through voice or key pressing;
(5) after the automatic driving is closed, the driver is prompted that the tire is abnormal;
(6) the driver passes through the front and back bus information that intelligent passenger cabin screen shows, and more accurate arrival avoids the bus in the station to prick the phenomenon of piling up.
The invention has the advantages that:
the invention fuses the alarm and fault information of different devices on the bus, analyzes and processes the information uniformly, and displays the information to the driver according to the priority, so that the driver can accurately and timely process the fault and the alarm according to the priority, and the operation complexity and the operation difficulty of the driver are reduced.
In the invention, the driver only needs to operate the emergency fault and alarm information according to the prompt, and does not need to actively operate the function irrelevant to the driving process, thereby being more beneficial to driving safety and reducing the driving difficulty.
The invention displays the bus information (front and back buses and opposite buses) and the road information (bus route information) in real time, and better assists a driver to drive the buses and master the arrival time.
The method not only serves a driver, but also provides help for maintenance personnel, and the maintenance personnel can quickly acquire fault information according to the prompt and accurately position equipment problems.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes will occur to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A man-machine interaction method for an intelligent cabin with multi-information fusion is characterized by comprising the following steps:
acquiring all fault information and alarm information existing in the driving process of the man-machine co-driving public transport vehicle;
fusing the fault information and the alarm information, and setting a fault grade and an alarm rule;
acquiring and analyzing vehicle information, road information, front and rear vehicle information and man-machine common driving information of the man-machine common driving public bus in real time, acquiring fault information and alarm information, and calculating alarm information and alarm priority required by combining fault level and alarm rule;
sequentially giving alarm prompts to the alarm information according to the alarm priority from high to low;
the driver processes the alarm prompts one by one.
2. The intelligent cabin human-computer interaction method according to claim 1, wherein:
and analyzing according to the analyzed vehicle information, road information and front and rear vehicle information, distinguishing the current vehicle, the front and rear vehicles and the opposite vehicle, and synchronously displaying.
3. The intelligent cabin human-computer interaction method according to claim 1, wherein: the alarm mode of the alarm information comprises the following steps: voice only, animation/text only, and voice plus animation/text display.
4. The intelligent cabin human-computer interaction method according to claim 1, wherein: acquiring vehicle information, road information and front and rear vehicle information of the man-machine co-driving vehicle through a controller connected with the man-machine co-driving public bus;
and the human-computer common driving system is connected with the human-computer common driving system through a socket interface to obtain human-computer common driving information.
5. The intelligent cabin human-computer interaction method according to claim 1, wherein:
when only one piece of fault information is acquired, calculating whether the information is required to be alarm information or not by combining the fault grade and the alarm rule, and if the information is required to be alarm information, directly alarming;
when two or more pieces of fault information are acquired simultaneously, calculating required alarm information and corresponding alarm priorities by combining fault grades and alarm rules, and alarming the one with the highest alarm priority;
after the driver processes one piece of alarm information, the next piece of alarm is carried out according to the alarm priority.
6. A system for implementing the human-computer interaction method according to any one of claims 1 to 5, comprising: data layer, control layer and display layer
The data layer is configured to:
vehicle information, road information and front and rear vehicle information sent by the controller are obtained in real time, and man-machine common driving information is obtained through a socket interface;
the control layer is configured to:
analyzing the vehicle information, road information and front and rear vehicle information received by the data layer;
calculating alarm information and alarm priority required by the fault information by combining the fault grade and the alarm rule, and sending the alarm information and the alarm priority to a display layer;
packaging and sending information to be displayed to the display layer;
the display layer is used for:
the information sent by the control layer and needing to be displayed is reasonably arranged and displayed according to the corresponding display form;
the alarm information is sequentially displayed from high to low according to the alarm priority, and operation options are provided;
and the driver checks the alarm information and selects an operation option to finish alarm processing.
7. The system of claim 6, wherein: the system is connected to a network through WIFI shared by controllers of the man-machine co-driving buses.
8. The system of claim 7, wherein: the controller of the man-machine co-driven bus shares WIFI with the bus license plate number, and encrypts a WIFI password through Base 64;
the system scans all current WIFI, carries out Base64 decryption on the WIFI with the bus license plate number of the system to obtain a WIFI password, and is connected to the WIFI of the controller through the WIFI password.
9. The system of claim 6, wherein: a TCP protocol connected to the controller through an IP port;
and acquiring the vehicle information, the road information and the front and rear vehicle information sent by the controller in real time.
10. The system of claim 6, wherein: the system also comprises a real-time detection module for detecting whether the WIFI connection state, the socket interface connection state and the data transmission state of the system and the controller are normal or not in real time;
and if the abnormality occurs, transmitting the abnormal data to the display layer for displaying.
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