CN116476848B - Automobile standard operation diagnosis system and method based on big data - Google Patents

Automobile standard operation diagnosis system and method based on big data Download PDF

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Publication number
CN116476848B
CN116476848B CN202310709594.2A CN202310709594A CN116476848B CN 116476848 B CN116476848 B CN 116476848B CN 202310709594 A CN202310709594 A CN 202310709594A CN 116476848 B CN116476848 B CN 116476848B
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data
real
controlled
matching
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CN116476848A (en
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刘艳青
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Shenzhen Zhiku Information Technology Co ltd
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Shenzhen Zhiku Information Technology Co ltd
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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60Q—ARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING OR SUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES IN GENERAL
    • B60Q9/00—Arrangement or adaptation of signal devices not provided for in one of main groups B60Q1/00 - B60Q7/00, e.g. haptic signalling
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R22/00—Safety belts or body harnesses in vehicles
    • B60R22/34—Belt retractors, e.g. reels
    • B60R22/46—Reels with means to tension the belt in an emergency by forced winding up
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
    • B60W50/08—Interaction between the driver and the control system
    • B60W50/14—Means for informing the driver, warning the driver or prompting a driver intervention
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/60—Analysis of geometric attributes
    • G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
    • 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
    • G06V40/172—Classification, e.g. identification
    • 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
    • G08B21/24—Reminder alarms, e.g. anti-loss alarms
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
    • B60W2040/0818—Inactivity or incapacity of driver
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
    • B60W50/08—Interaction between the driver and the control system
    • B60W50/14—Means for informing the driver, warning the driver or prompting a driver intervention
    • B60W2050/143—Alarm means
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2540/00—Input parameters relating to occupants
    • B60W2540/229—Attention level, e.g. attentive to driving, reading or sleeping
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2710/00—Output or target parameters relating to a particular sub-units
    • B60W2710/06—Combustion engines, Gas turbines
    • B60W2710/0605—Throttle position
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2710/00—Output or target parameters relating to a particular sub-units
    • B60W2710/20—Steering systems
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2710/00—Output or target parameters relating to a particular sub-units
    • B60W2710/30—Auxiliary equipments
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Abstract

The application discloses an automobile standard operation diagnosis system and method based on big data, relates to the technical field of automobile safety, and solves the technical problem that face data is not processed in a template matching mode; the face data and the nine-grid matching template are matched, the matching area is obtained, the matching area is set to be a standard parameter template, the regenerated matching area is obtained, the obtained matching area and the standard parameter template are subjected to difference processing, multiple groups of difference values are combined to generate combined parameters, whether a signal to be controlled is generated or not is judged according to the comparison result of the combined parameters, the signal to be controlled is conveyed into the control unit, the control unit controls the early warning device and the safety belt according to the signal to be controlled, the early warning device in the vehicle sends out an alarm, the tightness of the safety belt is controlled, the safety belt is tightened, a driver is warned, the operation specification of the driver is limited, traffic accidents are avoided, and traffic safety is guaranteed.

Description

Automobile standard operation diagnosis system and method based on big data
Technical Field
The application belongs to the technical field of automobile safety, and particularly relates to an automobile standard operation diagnosis system and method based on big data.
Background
An automobile is driven by power, and a non-track-bearing vehicle with 4 or more wheels is mainly used for: carrying personnel and/or cargo; a vehicle for hauling personnel and/or cargo; special purpose.
With the development of the era, automobiles gradually replace other mobility tools, corresponding face recognition probes are carried in a vehicle-mounted system, the swing amplitude of face data is checked according to face information recognized in real time, and the driving state of a driver is judged.
Disclosure of Invention
The present application aims to solve at least one of the technical problems existing in the prior art; therefore, the application provides an automobile standard operation diagnosis system and method based on big data, which are used for solving the technical problem that the face data is not processed in a template matching mode.
To achieve the above object, an embodiment according to a first aspect of the present application proposes a big data based vehicle standard operation diagnosis system, including a vehicle parameter real-time recording unit, a foot pedal restriction unit, a steering wheel restriction unit, a real-time monitoring unit, a monitoring data processing unit, and a control unit:
the real-time monitoring unit is used for acquiring face data of a driver in real time, transmitting the face data acquired in real time into the monitoring data processing unit, matching the face data with a nine-grid matching template according to the monitored face data, acquiring a matching area, setting the matching area as a standard parameter template, acquiring the regenerated matching area every T seconds, performing difference processing on the acquired matching area and the standard parameter template, combining multiple groups of difference values to generate a combination parameter, judging whether a signal to be controlled is generated according to the comparison result of the combination parameter, and transmitting the signal to be controlled into the control unit;
the control unit receives the signal to be controlled sent by the monitoring data processing unit, and controls the early warning equipment and the safety belt according to the receiving times of the signal to be controlled.
Preferably, the specific processing mode of the monitoring data processing unit on the face data is as follows:
s1, a driver presets a standard sitting posture, the face of the person is aligned to a monitoring probe outside a real-time monitoring unit, the real-time monitoring unit pre-obtains face data through the monitoring probe, and the preliminary face data is matched with a nine-grid matching template set in the interior;
s2, after the face and the nine-grid matching template are matched, respectively obtaining the matching area of each matching grid, andmarking the matching area as MJ i I=1, 2, … …, 9, where i represents the palace lattice at different positions and will match the area MJ i Setting the template as a ginseng standard template;
s3, acquiring real-time face data every T seconds to obtain a second group of face data, re-matching the second group of face data with an original nine-grid matching template according to the acquired second group of face data, re-acquiring a second matching area according to the matching data, and marking the second matching area as PP (propene polymer) 2i Where subscript 2 represents the operation performed by the system a second time;
s4, adopting the value of iAcquiring a matching area difference value of each grid, wherein absolute value processing is not performed because negative values of the matching area difference value are partially avoided;
s5, adoptingObtaining a merging parameter MJH of the matching area difference value of each grid 2 ；
S6, combining the parameters MJH 2 Comparing with a preset comparison value X1, and merging the parameters MJH 2 When the value is less than or equal to X1, no signal is generated;
when combining parameters MJH 2 When the signal is more than X1, generating a signal to be controlled, and transmitting the signal to be controlled into a control unit;
s7, repeating the steps S3-S6, acquiring real-time face data to obtain a third group of face data, and if the signals to be controlled are continuously generated, transmitting the signals to be controlled into the control unit;
and S8, repeatedly executing the steps S3-S6, and carrying out real-time processing on the real-time face data.
Preferably, the control unit receives the signal to be controlled sent by the monitoring data processing unit, if the signal to be controlled is continuously generated and the duration is not less than X2, X2 is a preset value, and represents that three groups of signals to be controlled are continuously generated, the early warning device and the safety belt are controlled, so that the early warning device in the vehicle gives an alarm, the tightness of the safety belt is controlled, the safety belt is tightened, and the driver is warned.
Preferably, the real-time recording unit of the vehicle parameter is used for recording the real-time parameter of the vehicle, wherein the real-time parameter of the vehicle comprises vehicle speed data and engine temperature data;
the vehicle speed data are transmitted into a steering wheel restriction unit, and the steering wheel restriction unit restricts the swing tension of the steering wheel according to the vehicle speed data;
the engine temperature data is transmitted to a pedal limiting unit, and the pedal limiting unit limits the accelerator pedal according to the engine temperature data.
Preferably, the steering wheel restriction unit restricts the swing tension of the steering wheel according to the vehicle speed data in the following manner:
marking vehicle speed data as CS, employingA wobble tension value ZJ is obtained, wherein +.>Is a preset fixed parameter factor;
the swing tension value ZJ is fed into a vehicle system, which controls the swing amplitude of the steering wheel as a function of the swing tension value ZJ.
Preferably, the pedal restriction unit restricts the accelerator pedal according to the engine temperature data in the following manner:
marking engine temperature data as WD, employingObtaining an accelerator pedal amplitude parameter JD, wherein +.>Is a preset fixed coefficient factor;
the accelerator pedal amplitude parameter JD is transmitted into a vehicle system, and the vehicle system regulates and controls the pedal amplitude of the accelerator pedal according to the accelerator pedal amplitude parameter JD.
Preferably, a diagnostic method of an automobile specification operation diagnostic system based on big data includes the steps of:
the method comprises the steps that firstly, a vehicle parameter real-time recording unit records real-time parameters of a vehicle, the recorded real-time parameters are respectively sent to a steering wheel restriction unit and a pedal restriction unit, the steering wheel restriction unit restricts the swing tension of the steering wheel according to vehicle speed data, and the pedal restriction unit restricts an accelerator pedal according to engine temperature data;
the real-time monitoring unit transmits the face data to the detection data processing unit in real time according to the face data monitored in real time, the monitoring data processing unit matches the face data with a nine-grid matching template according to the monitored face data, the matching area is obtained and set as a standard parameter template, the matching area generated again is obtained every T seconds, the obtained matching area and the standard parameter template are subjected to difference processing, multiple groups of difference values are combined to generate combined parameters, whether a signal to be controlled is generated is judged according to the comparison result of the combined parameters, and the signal to be controlled is transmitted to the control unit;
and thirdly, the control unit controls the early warning equipment and the safety belt according to the times of receiving the signals to be controlled, and restricts the standard operation of a driver.
Compared with the prior art, the application has the beneficial effects that: the real-time monitoring unit acquires face data of a driver in real time, transmits the face data acquired in real time into the monitoring data processing unit, matches the face data with the nine-grid matching template, acquires a matching area, sets the matching area as a standard parameter template, acquires a regenerated matching area, performs difference processing on the acquired matching area and the standard parameter template, combines multiple groups of differences to generate a combined parameter, judges whether a signal to be controlled is generated according to the comparison result of the combined parameter, transmits the signal to be controlled into the control unit, receives the signal to be controlled transmitted by the monitoring data processing unit, controls early warning equipment and a safety belt if the signal to be controlled is continuously generated, enables the early warning equipment in a vehicle to give an alarm, controls the tightness of the safety belt, tightens the safety belt, alerts the driver, limits the operation specification of the driver, avoids traffic accidents, and ensures traffic safety.
Drawings
Fig. 1 is a schematic diagram of a principle frame of the present application.
Detailed Description
The technical solutions of the present application will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Example 1
Referring to fig. 1, the application provides an automobile standard operation diagnosis system based on big data, which comprises a vehicle parameter real-time recording unit, a pedal restriction unit, a steering wheel restriction unit, a real-time monitoring unit, a monitoring data processing unit and a control unit;
the output end of the real-time recording unit for the vehicle parameters is electrically connected with the input ends of the foot pedal limiting unit, the steering wheel limiting unit and the real-time monitoring unit, the output end of the real-time monitoring unit is electrically connected with the input end of the monitoring data processing unit, and the output end of the monitoring data processing unit is electrically connected with the input end of the control unit;
the real-time recording unit of the vehicle parameter is used for recording the real-time parameter of the vehicle, wherein the real-time parameter of the vehicle comprises vehicle speed data and engine temperature data;
the vehicle speed data is conveyed into the steering wheel restriction unit, the steering wheel restriction unit restricts the swing tension of the steering wheel according to the vehicle speed data, when the vehicle speed is too fast, the swing amplitude of the steering wheel of the vehicle is prevented from being too large, and the processing mode is as follows:
marking vehicle speed data as CS, employingA wobble tension value ZJ is obtained, wherein +.>Is a preset fixed parameter factor;
the swing tensioning value ZJ is conveyed into a vehicle system, and the vehicle system controls the swing amplitude of the steering wheel according to the swing tensioning value ZJ;
the engine temperature data is transmitted into a pedal limiting unit, and the pedal limiting unit limits the accelerator pedal according to the engine temperature data, wherein the limiting mode is as follows:
marking engine temperature data as WD, employingObtaining an accelerator pedal amplitude parameter JD, wherein +.>Is a preset fixed coefficient factor;
the accelerator pedal amplitude parameter JD is transmitted into a vehicle system, and the vehicle system regulates and controls the pedal amplitude of the accelerator pedal according to the accelerator pedal amplitude parameter JD, so that the influence on the vehicle caused by too-strong pedal is avoided.
The real-time monitoring unit is used for acquiring face data of a driver in real time, transmitting the face data acquired in real time into the monitoring data processing unit, wherein the monitoring data processing unit is used for matching the face data with a nine-grid matching template according to the monitored face data (the nine-grid matching template covers the face, the face data can only move in the nine-grid matching template in a normal driving state), acquiring a matching area and setting the matching area as a standard parameter template, acquiring the regenerated matching area every 1 second, performing difference processing on the acquired matching area and the standard parameter template, combining multiple groups of difference values to generate a combined parameter, judging whether a signal to be controlled is generated according to the comparison result of the combined parameter, transmitting the signal to be controlled into the control unit, and processing the driving state of the driver, wherein the processing mode is as follows:
s1, a driver presets a standard sitting posture, the face of the person is aligned to a monitoring probe outside a real-time monitoring unit, the real-time monitoring unit pre-obtains face data through the monitoring probe, and the preliminary face data is matched with a nine-grid matching template set in the interior;
s2, after the matching of the face and the nine-grid matching template is completed, respectively obtaining the matching area of each matching grid (specifically, the matching area is the value of the intersecting area of the face data and the corresponding grid), and marking the matching area as MJ i I=1, 2, … …, 9, where i represents the palace lattice at different positions and will match the area MJ i Setting the template as a ginseng standard template;
s3, after T seconds, T takes a value of 1, real-time face data are acquired to obtain a second group of face data, the second group of face data are matched with an original Sudoku matching template again according to the acquired second group of face data, a second matching area is acquired again according to the matching data, and the second matching area is marked as PP 2i Where subscript 2 represents the operation performed by the system a second time;
s4, adopting the value of iAcquiring a matching area difference value of each grid, wherein absolute value processing is not performed because negative values of the matching area difference value are partially avoided;
s5, adoptingObtaining a merging parameter MJH of the matching area difference value of each grid 2 ；
S6, combining the parameters MJH 2 Comparing with a preset comparison value X1, and merging the parameters MJH 2 When X1 is smaller than or equal to X1, no signal is generated (the specific X1 value is determined by the operator according to experience, when MJH 2 When X1 is not more than, the whole face data representing the corresponding person moves up and down, the sitting posture of the driver is possibly changed, but the facing direction of the face is unchanged, and the situation only causes the face to appearWhen the whole face moves, the whole face moves in the nine-grid template, and the combination parameter MJH appears at the moment 2 The overall numerical value is smaller because, when the human face moves overall, the area of the uppermost palace lattice gradually becomes smaller or larger, and the area of the lowermost palace lattice gradually becomes larger or smaller, so the overall merging parameter MJH 2 The amplitude of the variation is not large);
when combining parameters MJH 2 When the signal is more than X1, generating a signal to be controlled, and transmitting the signal to be controlled into a control unit;
s7, repeating the steps S3-S6, acquiring real-time face data to obtain a third group of face data, and if the signals to be controlled are continuously generated, transmitting the signals to be controlled into the control unit;
and S8, repeatedly executing the steps S3-S6, and carrying out real-time processing on the real-time face data.
The control unit is used for receiving the signals to be controlled sent by the monitoring data processing unit, if the signals to be controlled are continuously generated, the duration times are more than or equal to X2, X2 is a preset value, at the moment, X2 is a value of 3, and represents that three groups of signals to be controlled are continuously generated, the early warning equipment and the safety belt are controlled, the early warning equipment in the vehicle gives an alarm, the tightness of the safety belt is controlled, the safety belt is tightened, the driver is warned, and the operation specification of the driver is limited;
when the signal to be controlled is continuously generated, the driver may be in a dozing state or other unsafe driving states, the signal to be controlled is intermittently generated, and the driver may be in a lane change or turning state, so that the control unit does not work.
Example two
In the implementation process of the present embodiment, compared with the first embodiment, the specific difference of the present embodiment is that in S3, T takes a value of 1.3, and in the control unit, X2 takes a value of 2.
Experiment
The first and second embodiments were scattered over several experiments to experience for half a year, and sample data were obtained, wherein the sample data include evaluation scores and traffic accident occurrence rates, and the specific sample data are shown in the following table:
，
as can be seen from the data in the table, each embodiment has advantages, and operators can select a proper embodiment according to actual requirements;
the diagnosis method of the automobile standard operation diagnosis system based on big data comprises the following steps:
the method comprises the steps that firstly, a vehicle parameter real-time recording unit records real-time parameters of a vehicle, the recorded real-time parameters are respectively sent to a steering wheel restriction unit and a pedal restriction unit, the steering wheel restriction unit restricts the swing tension of the steering wheel according to vehicle speed data, and the pedal restriction unit restricts an accelerator pedal according to engine temperature data;
the real-time monitoring unit transmits the face data to the detection data processing unit in real time according to the face data monitored in real time, the monitoring data processing unit matches the face data with a nine-grid matching template according to the monitored face data, the matching area is obtained and set as a standard parameter template, the matching area generated again is obtained every T seconds, the obtained matching area and the standard parameter template are subjected to difference processing, multiple groups of difference values are combined to generate combined parameters, whether a signal to be controlled is generated is judged according to the comparison result of the combined parameters, and the signal to be controlled is transmitted to the control unit;
and thirdly, the control unit controls the early warning equipment and the safety belt according to the times of receiving the signals to be controlled, and restricts the standard operation of a driver.
The partial data in the formula are all obtained by removing dimension and taking the numerical value for calculation, and the formula is a formula closest to the real situation obtained by simulating a large amount of collected data through software; the preset parameters and the preset threshold values in the formula are set by those skilled in the art according to actual conditions or are obtained through mass data simulation.
The working principle of the application is as follows: the real-time monitoring unit acquires face data of a driver in real time and transmits the face data acquired in real time into the monitoring data processing unit, the monitoring data processing unit matches the face data with a nine-grid matching template according to the face data to be monitored, acquires a matching area and sets the matching area as a standard parameter template, each time passes 1 second, acquires the regenerated matching area, carries out difference processing on the acquired matching area and the standard parameter template, combines multiple groups of difference values to generate combined parameters, judges whether a signal to be controlled is generated according to the comparison result of the combined parameters, and transmits the signal to be controlled into the control unit, and the control unit receives the signal to be controlled transmitted by the monitoring data processing unit.
The above embodiments are only for illustrating the technical method of the present application and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present application may be modified or substituted without departing from the spirit and scope of the technical method of the present application.

Claims (4)

1. The automobile standard operation diagnosis system based on big data is characterized by comprising a vehicle parameter real-time recording unit, a pedal restriction unit, a steering wheel restriction unit, a real-time monitoring unit, a monitoring data processing unit and a control unit:
the real-time monitoring unit is used for acquiring face data of a driver in real time, transmitting the face data acquired in real time into the monitoring data processing unit, matching the face data with a nine-grid matching template according to the monitored face data, acquiring a matching area, setting the matching area as a standard parameter template, acquiring the regenerated matching area every T seconds, performing difference processing on the acquired matching area and the standard parameter template, combining multiple groups of difference values to generate a combination parameter, judging whether a signal to be controlled is generated according to the comparison result of the combination parameter, and transmitting the signal to be controlled into the control unit;
the control unit receives the signal to be controlled sent by the monitoring data processing unit, and controls the early warning equipment and the safety belt according to the receiving times of the signal to be controlled;
the specific processing mode of the monitoring data processing unit to the face data is as follows:
s1, a driver presets a standard sitting posture, the face of the person is aligned to a monitoring probe outside a real-time monitoring unit, the real-time monitoring unit pre-obtains face data through the monitoring probe, and the preliminary face data is matched with a nine-grid matching template set in the interior;
s2, after the matching of the human face and the nine-square matching template is completed, the matching area of each matching square is respectively obtained, and the matching area is marked as MJ i I=1, 2, … …, 9, where i represents the palace lattice at different positions and will match the area MJ i Setting the template as a ginseng standard template;
s3, acquiring real-time face data every T seconds to obtain a second group of face data, re-matching the second group of face data with an original nine-grid matching template according to the acquired second group of face data, re-acquiring a second matching area according to the matching data, and marking the second matching area as PP (propene polymer) 2i Where subscript 2 represents the operation performed by the system a second time;
s4, adopting the value of iAcquiring a matching area difference value of each grid, wherein absolute value processing is not performed because negative values of the matching area difference value are partially avoided;
s5, adoptingObtaining a merging parameter MJH of the matching area difference value of each grid 2 ；
S6、Will merge the parameter MJH 2 Comparing with a preset comparison value X1, and merging the parameters MJH 2 When the value is less than or equal to X1, no signal is generated;
when combining parameters MJH 2 When the signal is more than X1, generating a signal to be controlled, and transmitting the signal to be controlled into a control unit;
s7, repeating the steps S3-S6, acquiring real-time face data to obtain a third group of face data, and if the signals to be controlled are continuously generated, transmitting the signals to be controlled into the control unit;
s8, repeatedly executing the steps S3-S6, and carrying out real-time processing on the real-time face data;
the control unit is used for receiving the signals to be controlled sent by the monitoring data processing unit, controlling the early warning equipment and the safety belt if the signals to be controlled are continuously generated and the duration times are more than or equal to X2, wherein X2 is a preset value and represents that three groups of signals to be controlled are continuously generated, enabling the early warning equipment in the vehicle to give an alarm, controlling the tightness of the safety belt, tightening the safety belt and warning a driver;
the real-time recording unit of the vehicle parameter is used for recording the real-time parameter of the vehicle, wherein the real-time parameter of the vehicle comprises vehicle speed data and engine temperature data;
the vehicle speed data are transmitted into a steering wheel restriction unit, and the steering wheel restriction unit restricts the swing tension of the steering wheel according to the vehicle speed data;
the engine temperature data is transmitted to a pedal limiting unit, and the pedal limiting unit limits the accelerator pedal according to the engine temperature data.
2. The big data based vehicle standard operation diagnosis system according to claim 1, wherein the steering wheel restriction unit restricts the swing tension of the steering wheel according to the vehicle speed data in the following manner:
marking vehicle speed data as CS, employingA wobble tension value ZJ is obtained, wherein +.>Is a preset fixed parameter factor;
the swing tension value ZJ is fed into a vehicle system, which controls the swing amplitude of the steering wheel as a function of the swing tension value ZJ.
3. The big data based vehicle specification operation diagnosis system according to claim 2, wherein the pedal restricting unit restricts the accelerator pedal according to the engine temperature data in such a manner that:
marking engine temperature data as WD, employingObtaining an accelerator pedal amplitude parameter JD, wherein +.>Is a preset fixed coefficient factor;
the accelerator pedal amplitude parameter JD is transmitted into a vehicle system, and the vehicle system regulates and controls the pedal amplitude of the accelerator pedal according to the accelerator pedal amplitude parameter JD.
4. A diagnostic method of a big data based automotive specification operation diagnostic system according to any of claims 1-3, characterized by the steps of:
the method comprises the steps that firstly, a vehicle parameter real-time recording unit records real-time parameters of a vehicle, the recorded real-time parameters are respectively sent to a steering wheel restriction unit and a pedal restriction unit, the steering wheel restriction unit restricts the swing tension of the steering wheel according to vehicle speed data, and the pedal restriction unit restricts an accelerator pedal according to engine temperature data;
the real-time monitoring unit transmits the face data to the detection data processing unit in real time according to the face data monitored in real time, the monitoring data processing unit matches the face data with a nine-grid matching template according to the monitored face data, the matching area is obtained and set as a standard parameter template, the matching area generated again is obtained every T seconds, the obtained matching area and the standard parameter template are subjected to difference processing, multiple groups of difference values are combined to generate combined parameters, whether a signal to be controlled is generated is judged according to the comparison result of the combined parameters, and the signal to be controlled is transmitted to the control unit;
and thirdly, the control unit controls the early warning equipment and the safety belt according to the times of receiving the signals to be controlled, and restricts the standard operation of a driver.
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