CN117037420A - Driving safety early warning method and system based on intelligent helmet - Google Patents
Driving safety early warning method and system based on intelligent helmet Download PDFInfo
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- CN117037420A CN117037420A CN202311291556.6A CN202311291556A CN117037420A CN 117037420 A CN117037420 A CN 117037420A CN 202311291556 A CN202311291556 A CN 202311291556A CN 117037420 A CN117037420 A CN 117037420A
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- 238000000034 method Methods 0.000 title claims abstract description 17
- 238000012545 processing Methods 0.000 claims abstract description 33
- 238000001514 detection method Methods 0.000 claims abstract description 28
- 230000035565 breathing frequency Effects 0.000 claims description 28
- 230000036387 respiratory rate Effects 0.000 claims description 15
- 230000001960 triggered effect Effects 0.000 claims description 9
- 238000012790 confirmation Methods 0.000 claims description 7
- 230000005540 biological transmission Effects 0.000 claims description 3
- 238000012935 Averaging Methods 0.000 claims 1
- 238000004891 communication Methods 0.000 description 5
- 238000004590 computer program Methods 0.000 description 4
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000013500 data storage Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 206010041349 Somnolence Diseases 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 239000004065 semiconductor Substances 0.000 description 2
- 208000016255 tiredness Diseases 0.000 description 2
- 208000003443 Unconsciousness Diseases 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
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- 238000005516 engineering process Methods 0.000 description 1
- 206010016256 fatigue Diseases 0.000 description 1
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Classifications
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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
- G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
- G08B21/0407—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons based on behaviour analysis
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- A—HUMAN NECESSITIES
- A42—HEADWEAR
- A42B—HATS; HEAD COVERINGS
- A42B3/00—Helmets; Helmet covers ; Other protective head coverings
- A42B3/04—Parts, details or accessories of helmets
- A42B3/0406—Accessories for helmets
- A42B3/0433—Detecting, signalling or lighting devices
- A42B3/046—Means for detecting hazards or accidents
-
- A—HUMAN NECESSITIES
- A42—HEADWEAR
- A42B—HATS; HEAD COVERINGS
- A42B3/00—Helmets; Helmet covers ; Other protective head coverings
- A42B3/04—Parts, details or accessories of helmets
- A42B3/0406—Accessories for helmets
- A42B3/0433—Detecting, signalling or lighting devices
- A42B3/0466—Means for detecting that the user is wearing a helmet
-
- 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
- G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
- G08B21/0407—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons based on behaviour analysis
- G08B21/043—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons based on behaviour analysis detecting an emergency event, e.g. a fall
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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
- G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
- G08B21/0438—Sensor means for detecting
- G08B21/0446—Sensor means for detecting worn on the body to detect changes of posture, e.g. a fall, inclination, acceleration, gait
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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
- G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
- G08B21/0438—Sensor means for detecting
- G08B21/0453—Sensor means for detecting worn on the body to detect health condition by physiological monitoring, e.g. electrocardiogram, temperature, breathing
Abstract
The application relates to the technical field of intelligent helmets, and discloses a driving safety early warning method and a driving safety early warning system based on an intelligent helmet, wherein in the step S1, a detection unit detects self information of the intelligent helmet and temperature information of a wearer and sends a collection result to a processing unit; s2, the processing unit receives the data of the detection unit and calculates a judgment value P, and the analysis unit compares the judgment value P with a threshold value and then sends an instruction to the central control unit; step S3, the central control unit receives the instruction and controls the alarm unit to work, and the alarm unit sends an alarm to a user; the application detects the temperature information TW of the helmet itself, the temperature information JW of the contact part of the helmet and the helmet when the helmet is worn and the tension information LL of the helmet fixing band, accurately detects whether the helmet is worn by the user, detects the tension information LL, can know the wearing condition of the helmet, gives an alarm when the helmet is not firm, avoids the helmet from suddenly falling, and ensures the life safety of the user.
Description
Technical Field
The application relates to the technical field of intelligent helmets, in particular to a driving safety early warning method and system based on an intelligent helmet.
Background
The intelligent helmet is a novel equipment noun, a common helmet is upgraded by combining a technician with a high-tech product to achieve a required intelligent function, the intelligent helmet is wearable equipment integrating various technologies and functions, and various functions and purposes are provided by carrying components such as a sensor, a display screen, audio equipment, a communication module and the like;
the intelligent helmet can be worn in driving electric motor car and motorcycle, plays in the effect to personal protection, is also the unique effect of ordinary helmet, still has the function of communication and initiative judgement suggestion driver to along with the application of thing networking is more extensive, intelligent helmet still introduces thing allies oneself with informationization technique, uses bluetooth thing to allies oneself with on the helmet, lets intelligent helmet possess and increases the wearing state detection function beyond the communication function, but traditional intelligent helmet has following problem:
when the traditional intelligent helmet is used, a pressure sensor is generally arranged in the helmet, when the pressure sensor is triggered, a user is shown and the helmet is worn at the moment, and when the user does not want to use the helmet, other articles are pressed down at the pressure sensor, so that the pressure sensor is normally triggered to run, the traditional intelligent helmet cannot detect whether the user wears firmly or not when wearing the helmet, and the situation that the helmet falls possibly occurs;
when a user wears the intelligent helmet to run normally, the traditional intelligent helmet cannot detect the state of the user, and when the user is tired or drowsy, the response of the user is slowed down at this time, and the probability of accidents is increased.
Disclosure of Invention
In order to overcome the defects in the prior art, the embodiment regulations of the application provide a driving safety early warning method and system based on an intelligent helmet, so as to solve the technical problems in the background art.
In order to achieve the above purpose, the present application provides the following technical solutions: a driving safety early warning method based on an intelligent helmet comprises the following steps:
step S1, detecting information of the intelligent helmet and temperature information of a wearer by a detection unit, and sending an acquisition result to a processing unit;
s2, the processing unit receives the data of the detection unit and calculates a judgment value P, and the analysis unit compares the judgment value P with a threshold value and then sends an instruction to the central control unit;
step S3, the central control unit receives the instruction and controls the alarm unit to work, and the alarm unit sends an alarm to a user;
step S4, a reminding unit is used for detecting the running state of a user and carrying out reminding and early warning when the user runs tiredly;
and S5, automatically alarming when the accident occurs to the user by the accident unit.
In a preferred embodiment, a driving safety early warning system based on an intelligent helmet comprises an association unit, a detection unit, a processing unit, an analysis unit, a central control unit, an alarm unit, a reminding unit, an accident unit, a positioning unit and a storage unit, wherein the association unit is used for binding between the intelligent helmet and a vehicle, the intelligent helmet can control the vehicle, the intelligent helmet can carry out data transmission with a handheld terminal of a user, the detection unit is used for information acquisition of the intelligent helmet, the processing unit is used for receiving data of the detection unit and calculating a determination value P, the analysis unit receives the determination value P and compares the determination value P with a threshold value and then sends an instruction to the central control unit, the central control unit receives the instruction and controls the alarm unit to work, the alarm unit is used for sending an alarm to the user, the reminding unit is used for detecting the driving state of the user, the accident unit is used for alarming when the user is in accident, the positioning unit is used for acquiring dangerous information of the intelligent helmet, and the storage unit is used for data storage.
In a preferred embodiment, the detecting unit is used for detecting temperature information TW of the helmet itself, temperature information JW of a contact part between a user and the helmet when the helmet is worn and tension information LL of a fixing strap of the helmet, and the detecting unit sends detected data to the processing unit, and the processing unit receives the data of the detecting unit and calculates a determination value P, and the determination value P is processedThe formula isThe processing unit sends the determination value P to the analysis unit, wherein sgn is a rounding function.
In a preferred embodiment, the analysis unit receives the determination value P, and the received determination value P is equal to zero, and then sends a prohibition instruction to the central control unit, and when the determination value P received by the determination value P is greater than the threshold value Y, then sends an permission instruction to the central control unit, and when the determination value P received by the determination value P is less than or equal to the threshold value Y, then sends a confirmation instruction to the central control unit.
In a preferred embodiment, when the central control unit receives the prohibition instruction, the driver is driven, the vehicle cannot be started, when the central control unit receives the permission instruction, the driver can normally drive, and when the central control unit receives the confirmation instruction, the central control unit controls the alarm unit to carry out voice reminding, wherein the voice reminding content is as follows: please confirm whether the helmet is worn.
In a preferred embodiment, the positioning unit collects the position information of the intelligent helmet in real time, the position information collected by the positioning unit is sent to the storage unit, the storage unit synchronously stores information of the detection unit, the processing unit, the analysis unit and the central control unit, and the information stored in the storage unit is updated every minute.
In a preferred embodiment, the reminding unit comprises a recording module and an acquisition module, wherein the recording module is used for a user to record the breathing frequency of each minute, the recording module is used for recording the breathing frequency of the user under the condition of no movement, the recording times are three, each recording time is thirty seconds, the recording module averages the breathing frequency recorded by the three times to generate the standard breathing frequency BH, the acquisition module is used for carrying out breathing frequency acquisition when the user wears the intelligent helmet, the acquisition module carries out breathing frequency acquisition every minute, and the acquired breathing frequency is real-time breathing frequency SH.
In a preferred embodiment, the recording module sends the standard respiratory rate BH to the analysis unit, the acquisition module sends the real-time respiratory rate SH to the analysis unit, the analysis unit calculates the ratio B of the real-time respiratory rate SH to the standard respiratory rate BH, when the ratio B is less than or equal to 0.8, the analysis unit sends a reminding instruction to the alarm unit, when the ratio B is greater than 0.8, the analysis unit does not send the instruction at this time, and the alarm unit receives the reminding instruction and alarms the user in a voice reminding mode.
In a preferred embodiment, the accident unit detects by using a collision sensor, when the collision sensor is triggered, the accident unit sends an accident instruction to the central control unit, the central control unit controls the alarm unit to enter an alarm state and send out alarm sound, a user can send a release instruction through voice to release the alarm state of the alarm unit, the user can also send an alarm instruction to the alarm unit through voice, and the alarm unit receives the alarm instruction to automatically perform alarm processing.
In a preferred embodiment, the alarm unit automatically gives an alarm when the release instruction is not received for ten minutes, and synchronously transmits the position information of the vehicle when the alarm unit gives an alarm continuously, and the alarm is given according to the maximum volume.
The application has the technical effects and advantages that:
according to the application, by detecting the temperature information TW of the helmet itself, the temperature information JW of the contact part of the helmet with the user and the tension information LL of the helmet fixing band when the helmet is worn, whether the helmet is worn by the user or not can be accurately detected, the tension information LL is detected, the wearing condition of the helmet can be known, and when the helmet is not firm enough, an alarm is given, the helmet is prevented from suddenly falling, and the life safety of the user is ensured;
according to the application, through breath input, when a user is tired or drowsy, the breath is slowed down at the moment, so that the acquisition module is used for acquiring the breath frequency when the user wears the intelligent helmet, and when the user is truly tired or drowsy, the ratio B of the real-time breath frequency SH to the standard breath frequency BH is lower than 0.8, and the user is reminded through the alarm unit at the moment, so that the safety of the user is ensured;
according to the application, the accident unit is arranged, when a user falls down on the ground due to an accident, the collision sensor is triggered at the moment, and when the collision unit is triggered, the user possibly has a fault condition at the moment, so that the alarm unit enters an alarm state and gives out alarm sound, and the alarm sound can draw attention of people nearby, so that the user can find out the accident in time.
Drawings
FIG. 1 is a schematic overall flow chart of the present application.
FIG. 2 is a schematic diagram of the overall system composition of the present application.
Detailed Description
The following description will be made in detail, with reference to the drawings, of the present application, wherein the configurations of the structures described in the following embodiments are merely examples, and the driving safety warning method and system based on the intelligent helmet according to the present application are not limited to the configurations described in the following embodiments, but all other embodiments obtained by a person skilled in the art without making any creative effort are within the scope of the present application.
Referring to fig. 1, the application provides a driving safety pre-warning method based on an intelligent helmet, which comprises the following steps:
step S1, a detection unit detects information of the intelligent helmet and temperature information of a wearer, and sends an acquisition result to a processing unit
S2, the processing unit receives the data of the detection unit and calculates a judgment value P, and the analysis unit compares the judgment value P with a threshold value and then sends an instruction to the central control unit;
step S3, the central control unit receives the instruction and controls the alarm unit to work, and the alarm unit sends an alarm to a user;
step S4, a reminding unit is used for detecting the running state of a user and carrying out reminding and early warning when the user runs tiredly;
and S5, automatically alarming when the accident occurs to the user by the accident unit.
Referring to fig. 2, the driving safety early warning system based on the intelligent helmet comprises a correlation unit, a detection unit, a processing unit, an analysis unit, a central control unit, an alarm unit, a reminding unit, an accident unit, a positioning unit and a storage unit, wherein the correlation unit is used for binding the intelligent helmet with a vehicle, the intelligent helmet can control the vehicle, the intelligent helmet can carry out data transmission with a handheld terminal of a user, the detection unit is used for information acquisition of the intelligent helmet, the processing unit is used for receiving data of the detection unit and calculating a determination value P, the analysis unit receives the determination value P and compares the determination value with a threshold value and then sends an instruction to the central control unit, the central control unit receives the instruction and controls the alarm unit to work, the alarm unit is used for sending an alarm to the user, the reminding unit is used for detecting the driving state of the user, the accident unit is used for alarming when the user is in accident, the positioning unit is used for acquiring dangerous information of the intelligent helmet, and the storage unit is used for data storage;
the detection unit is used for detecting temperature information TW of the helmet, temperature information JW of a contact part of a user with the helmet when the helmet is worn and tension information LL of a helmet fixing belt, the detection unit sends detected data to the processing unit, the processing unit receives the data of the detection unit and calculates a judgment value P, and a processing formula of the judgment value P is as followsThe processing unit sends the determination value P to the analysis unit, wherein sgn is a rounding function.
Further, the detection unit detects temperature information TW of the helmet itself, temperature information JW of a contact part of a user with the helmet when the helmet is worn and tension information LL of a fixing belt of the helmet, when the helmet is in an external environment, the helmet itself has a certain temperature, when the temperature of skin of a human body is different from that of the helmet when the user wears the helmet, a temperature difference is generated, and when a difference value is calculated between the temperature information TW and the temperature information JW, squaring is performed, so that an input value in a rounding function sgn is ensured to be positive or zero, when zero is input, the rounding function sgn outputs zero, and when the input value is positive, the rounding function outputs one, so that even when the temperature difference is relatively close, accurate judgment can be performed.
Further, the analysis unit receives the determination value P, and the received determination value P is equal to zero, and then sends a prohibition instruction to the central control unit, when the determination value P received by the determination value P is greater than the threshold value Y, an permission instruction is sent to the central control unit, and when the determination value P received by the determination value P is less than or equal to the threshold value Y, a confirmation instruction is sent to the central control unit, and when the central control unit receives the prohibition instruction, the driver rides, and the vehicle cannot be started, and when the central control unit receives the permission instruction, the driver can normally ride, and when the central control unit receives the confirmation instruction, the central control unit controls the alarm unit to carry out voice prompt, and the voice prompt content is: please confirm whether the helmet is worn.
In the embodiment of the application, when the user does not wear the helmet, the difference between the temperature information TW and the temperature information JW is zero, so that the sgn function will also output zero, so that the whole judgment value P is zero, and when the judgment value P is zero, it indicates that the user does not wear the helmet, so that the user is prohibited from running without wearing the helmet, and when the judgment value P is not zero, when the judgment value P is less than or equal to the threshold value Y, it indicates that the tension information LL of the helmet fixing belt is not firm enough, so that the user needs to check, so that the user can use the helmet normally after wearing the helmet firmly, and when the judgment value P is greater than the threshold value Y, it indicates that the user wears the intelligent helmet firmly enough, so that the user can use the helmet normally.
Further, the positioning unit collects the position information of the intelligent helmet in real time, the position information collected by the positioning unit is sent to the storage unit, the storage unit synchronously stores information of the detection unit, the processing unit, the analysis unit and the central control unit, the information stored in the storage unit is updated every minute, the positioning unit collects the position information, the helmet can be prevented from being lost, the position of the intelligent helmet can be checked through the handheld terminal when the intelligent helmet is lost, the intelligent helmet is convenient to find, and after the situation of a user occurs, the position of the user can be quickly found through the positioning unit.
Referring to fig. 2, the reminding unit comprises a recording module and an acquisition module, wherein the recording module is used for a user to record the breathing frequency of each minute, the recording module is used for recording the breathing frequency of the user under the condition of no movement, the recording frequency is three, the recording time is thirty seconds, the recording module averages the breathing frequency recorded in three times to generate a standard breathing frequency BH, the acquisition module is used for carrying out breathing frequency acquisition when the user wears the intelligent helmet, the acquisition module carries out breathing frequency acquisition every minute, the acquired breathing frequency is real-time breathing frequency SH, the recording module sends the standard breathing frequency BH to the analysis unit, the acquisition module sends the real-time breathing frequency SH to the analysis unit, the analysis unit calculates the ratio B of the real-time breathing frequency SH to the standard breathing frequency BH, when the ratio B is less than or equal to 0.8, the analysis unit sends a reminding instruction to the alarm unit, and when the ratio B is greater than 0.8, the analysis unit does not send an instruction, and the alarm unit receives the reminding instruction and alarms to the user in a voice reminding mode.
In the embodiment of the application, when a user drives an electric vehicle or a motorcycle, if the user is in fatigue driving, even if the user is not in collision with the rest of the vehicle, stones or gaps and the like on the road are met, the user can be injured when the user falls down, the respiratory rate is firstly recorded, the respiratory rate is recorded under the normal condition of the user, the recording times are three, the recording time is thirty seconds, the recording module averages the respiratory rate recorded in three times to generate the standard respiratory rate BH, in order to ensure the accuracy of recorded information, when the user is tired or drowsy, the condition of slow breathing occurs at the moment, the acquisition module is used for acquiring the respiratory rate when the user wears the intelligent helmet, when the user is in the condition of tired or drowsiness, the ratio B of the real-time respiratory rate SH to the standard respiratory rate BH is lower than 0.8, the user is reminded through the alarm unit at the moment, the safety of the user is ensured, and when the ratio B is not more than 0.8, the user is not in tired or drowsiness at the moment.
Further, the accident unit adopts the collision sensor to detect, when the collision sensor is triggered, the accident unit sends accident instructions to the central control unit at this moment, the central control unit controls the alarm unit to enter an alarm state and send out alarm sounds, and a user can send a release instruction through voice to release the alarm state of the alarm unit, the user can also send the alarm instructions to the alarm unit through voice, the alarm unit receives the alarm instructions to automatically carry out alarm processing, when the user falls down on the ground due to the accident, the collision sensor can be triggered at this moment, and after the collision unit is triggered, the user can have the fault condition at this moment, the alarm unit enters the alarm state and sends out alarm sounds, the alarm sounds can draw attention of nearby people, so that the user can be found out timely when the accident occurs, and when the user has no problem, the user can make a voice contact at this moment, and when the body has the problem, the user can make a voice confirmation, therefore can quickly give an alarm to obtain a help, in addition, the alarm state of the contact unit can be said, whether the contact state is said, the user is not said, the user can stop, the user can ask for help, and the user to know that the user has the alarm when the user.
Further, when the alarm unit does not receive the release instruction for ten minutes, the alarm unit automatically gives an alarm, the position information of the vehicle is synchronously sent during the alarm, the alarm unit continuously gives out alarm sound, the alarm sound is sent out according to the maximum volume, when the alarm unit is not contacted with the alarm all the time, the situation that a user is unconscious due to accidents exists, the alarm unit automatically gives an alarm, the situation that the user does not process for a long time and causes larger physical problems is avoided, the alarm sound is sent out according to the maximum volume at the moment, the discovery of people nearby is facilitated, and the rescue probability of the user is improved.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions in accordance with embodiments of the present application are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in or transmitted from one computer-readable storage medium to another, for example, by wired means from one website site, computer, server, or data center. Computer readable storage media can be any available media that can be accessed by a computer or data storage devices, such as servers, data centers, etc. that contain one or more collections of available media. The usable medium may be a magnetic medium, an optical medium, or a semiconductor medium. The semiconductor medium may be a solid state disk.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other forms.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Finally: the foregoing description of the preferred embodiments of the application is not intended to limit the application to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and principles of the application are intended to be included within the scope of the application.
Claims (9)
1. A driving safety early warning method based on an intelligent helmet is characterized in that: the method comprises the following steps:
step S1, detecting information of the intelligent helmet and temperature information of a wearer by a detection unit, and sending an acquisition result to a processing unit;
step S2, the processing unit receives the data of the detection unit and calculates a judgment value P, wherein the processing formula of the judgment value P is thatWherein sgn is a rounding function, TW is temperature information of the helmet, JW is temperature information of a contact part of a user and the helmet when the helmet is worn, LL is tension information of a helmet fixing belt, and an analysis unit receives a judgment value P and compares the judgment value P with a threshold value and then sends an instruction to a central control unit;
step S3, the central control unit receives the instruction and controls the alarm unit to work, and the alarm unit sends an alarm to a user;
step S4, a reminding unit is used for detecting the running state of a user and carrying out reminding and early warning when the user runs tiredly;
and S5, automatically alarming when the accident occurs to the user by the accident unit.
2. A travel safety early warning system based on intelligent helmet, its characterized in that: the intelligent helmet comprises an association unit, a detection unit, a processing unit, an analysis unit, a central control unit, an alarm unit, a reminding unit, an accident unit, a positioning unit and a storage unit, wherein the association unit is used for binding an intelligent helmet with a vehicle, the intelligent helmet can control the vehicle, the intelligent helmet can carry out data transmission with a handheld terminal of a user, the detection unit is used for information acquisition of the intelligent helmet, the processing unit is used for receiving data of the detection unit and calculating a determination value P, the analysis unit receives the determination value P and compares the determination value P with a threshold value and then sends an instruction to the central control unit, the central control unit receives the instruction and controls the alarm unit to work, the alarm unit is used for sending an alarm to the user, the reminding unit is used for detecting the running state of the user, the accident unit is used for alarming when the user is in accident, the positioning unit is used for acquiring dangerous information of the intelligent helmet, and the storage unit is used for storing dangerous information of the intelligent helmetThe detection unit is used for detecting temperature information TW of the helmet, temperature information JW of a contact part of a user and the helmet when the helmet is worn and tension information LL of a helmet fixing belt, the detection unit sends the detected data to the processing unit, the processing unit receives the data of the detection unit and calculates a judgment value P, and a processing formula of the judgment value P is thatWherein sgn is a rounding function, TW is temperature information of the helmet, JW is temperature information of a contact part of a user and the helmet when the helmet is worn, LL is tension information of a fixing belt of the helmet, and the processing unit sends a judging value P to the analysis unit.
3. The intelligent helmet-based travel safety pre-warning system of claim 2, wherein: the analysis unit receives the judgment value P, and the received judgment value P is equal to zero, and then sends a prohibition instruction to the central control unit, when the judgment value P received by the judgment value P is larger than the threshold value Y, an permission instruction is sent to the central control unit, and when the judgment value P received by the judgment value P is smaller than or equal to the threshold value Y, a confirmation instruction is sent to the central control unit.
4. A driving safety precaution system based on intelligent helmets according to claim 3, characterized in that: when the central control unit receives the prohibition instruction, the driver can ride, the vehicle can not be started, when the central control unit receives the permission instruction, the driver can normally ride, and when the central control unit receives the confirmation instruction, the central control unit controls the alarm unit to carry out voice reminding, and the voice reminding content is as follows: please confirm whether the helmet is worn.
5. The intelligent helmet-based travel safety pre-warning system of claim 2, wherein: the positioning unit acquires the position information of the intelligent helmet in real time, the position information acquired by the positioning unit is sent to the storage unit, the storage unit synchronously stores the information of the detection unit, the processing unit, the analysis unit and the central control unit, and the information stored in the storage unit is updated every minute.
6. The intelligent helmet-based travel safety pre-warning system of claim 2, wherein: the reminding unit comprises a recording module and an acquisition module, wherein the recording module is used for recording the breathing frequency of a user every minute, the recording module is used for recording the breathing frequency of the user under the condition of no movement, the recording times are three, the recording time of each recording time is thirty seconds, the recording module generates the standard breathing frequency BH after averaging the breathing frequency recorded by the three times, the acquisition module is used for carrying out breathing frequency acquisition when the user wears the intelligent helmet, the acquisition module carries out breathing frequency acquisition every minute, and the acquired breathing frequency is real-time breathing frequency SH.
7. The intelligent helmet-based travel safety pre-warning system of claim 6, wherein: the input module sends standard respiratory rate BH to the analysis unit, the acquisition module sends real-time respiratory rate SH to the analysis unit, the analysis unit adopts the ratio B of real-time respiratory rate SH and standard respiratory rate BH, when ratio B is less than or equal to 0.8, the analysis unit sends a reminding instruction to the alarm unit, when ratio B is greater than 0.8, the analysis unit does not send an instruction at this time, and the alarm unit receives the reminding instruction and alarms to a user in a voice reminding mode.
8. The intelligent helmet-based travel safety pre-warning system of claim 2, wherein: the accident unit adopts the collision sensor to detect, and when the collision sensor is triggered, the accident unit sends an accident instruction to the central control unit at the moment, the central control unit controls the alarm unit to enter an alarm state and send out alarm sound, and a user can send a release instruction through voice to release the alarm state of the alarm unit, and the user can also send the alarm instruction to the alarm unit through voice, and the alarm unit receives the alarm instruction and automatically carries out alarm processing.
9. The intelligent helmet-based travel safety pre-warning system of claim 8, wherein: when the alarm unit does not receive the release instruction for ten minutes, the alarm unit automatically gives an alarm, the position information of the vehicle is synchronously sent during the alarm, the alarm unit continuously gives out alarm sound, and the alarm sound is given out according to the maximum volume.
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| CN202311291556.6A CN117037420A (en) | 2023-10-08 | 2023-10-08 | Driving safety early warning method and system based on intelligent helmet |
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