CN110763282A - Helmet, method for helmet monitoring, helmet detection system - Google Patents
Helmet, method for helmet monitoring, helmet detection system Download PDFInfo
- Publication number
- CN110763282A CN110763282A CN201911121450.5A CN201911121450A CN110763282A CN 110763282 A CN110763282 A CN 110763282A CN 201911121450 A CN201911121450 A CN 201911121450A CN 110763282 A CN110763282 A CN 110763282A
- Authority
- CN
- China
- Prior art keywords
- helmet
- sensor
- user
- data
- main control
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- 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
-
- 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
-
- 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
- A42B3/0453—Signalling devices, e.g. auxiliary brake or indicator lights
-
- 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
Abstract
The present disclosure relates to a helmet, a method for helmet monitoring, a helmet detection system, the method comprising: obtaining sensor data comprising data detected by sensors in the helmet that result from a user wearing the helmet, the sensors comprising strap tension sensors, the sensor data comprising tension values of straps of the helmet detected by the strap tension sensors; and determining whether the user wears the helmet or not according to the sensor data, and finally achieving the effect of detecting the wearing state of the helmet of the user.
Description
Technical Field
The disclosure relates to the technical field of helmets, in particular to a helmet, a method for helmet monitoring and a helmet detection system.
Background
The helmet is a solid protective barrier in the riding process of a user. The relevant data indicates that a fall during riding can still cause significant damage to the user's head, even if the user is riding at a slower speed. And in riding death accidents, 75% of the accidents are caused by head injuries.
At present, many users still have a contradictory psychology for wearing the helmet, and the wearing rate of the helmet during riding is also low.
Disclosure of Invention
The present disclosure is directed to a helmet, a method for monitoring a helmet, and a helmet detection system, so as to solve the above technical problems.
To achieve the above object, in a first aspect, the present disclosure provides a method for helmet monitoring, the method comprising:
obtaining sensor data comprising data detected by sensors in the helmet that result from a user wearing the helmet, the sensors comprising strap tension sensors, the sensor data comprising tension values of straps of the helmet detected by the strap tension sensors;
determining whether the user is wearing the helmet from the sensor data.
In this way, by arranging the sensor in the helmet, corresponding data generated when the user wears the helmet can be acquired through the sensor, and whether the user wears the helmet can be determined according to the data acquired by the sensor (for example, the strap tension value of the helmet acquired by the strap tension sensor), so that the effect of monitoring the wearing state of the helmet of the user is achieved.
Optionally, the sensor further comprises one or more of a pressure sensor, a temperature sensor, a capacitance sensor, a strap buckle sensor, and a gyroscope, the acquiring sensor data comprising:
acquiring one or more of data detected by the pressure sensor, temperature sensor, capacitance sensor, strap buckle sensor, and gyroscope;
the determining from the sensor data whether the user is wearing the helmet comprises:
judging whether the data of each sensor meets the preset conditions corresponding to the sensor;
and if the data of any sensor does not meet the preset conditions corresponding to the sensor, determining that the user does not wear the helmet. That is to say, the wearing state of the helmet of the user can be comprehensively judged according to the data acquired by one or more types of sensors in the helmet, so that the monitoring flexibility and the judgment accuracy can be improved.
Optionally, the determining whether the data of each sensor satisfies a preset condition corresponding to the sensor includes one or more of the following conditions:
judging whether a pressure value represented by the data detected by the pressure sensor is greater than a preset pressure value or not;
judging that the deviation value of the helmet represented by the data detected by the gyroscope in the positive direction of each axis of the gyroscope is smaller than a preset deviation value;
judging whether the temperature value represented by the data detected by the temperature sensor is within a preset human body temperature range or not;
judging whether the capacitance value represented by the data detected by the capacitance sensor is within a preset capacitance range or not;
judging whether the belt buckle sensor detects data representing that a belt buckle of the helmet is clamped or not;
and judging whether the tension value of the helmet strap detected by the strap tension sensor and represented by the data is larger than a preset tension value or not. By adopting the mode, the data acquired by the various sensors in the helmet can be used as a basis for judging whether the user wears the helmet or not by setting corresponding conditions for the data acquired by the various sensors.
Optionally, the method further comprises:
acquiring behavior information of a user as a distributor wearing the helmet;
and sending the behavior information to a server, wherein the behavior information is used for executing corresponding supervision action on the deliverer according to the supervision treatment rule when the server determines that the behavior information meets the preset supervision treatment rule. Therefore, the behavior information of the user wearing the helmet is sent to the server, so that the background can monitor the helmet wearing state of each distributor, and the problem that the helmet wearing state of the distributor is difficult to monitor in the related technology is solved.
Optionally, the behavior information includes altitude information of a location where a user wearing the helmet is located, where the altitude information is obtained by:
acquiring data detected by an air pressure sensor in the helmet;
and determining the altitude information of the position of the user wearing the helmet according to the data detected by the air pressure sensor. By adopting the mode, the background system can determine the altitude information of the deliverer through the data sent by the helmet, so that the state of the deliverer can be known more accurately, and more data bases are provided for delivery scheduling.
Optionally, the altitude information includes an altitude, and the server determines a floor where the user as a distributor is located according to the altitude; alternatively, the first and second electrodes may be,
the altitude information comprises altitude change rate, and is used for the server to determine the upstairs going mode of the user as the distributor according to the altitude change rate. That is, the server can determine the upstairs mode of the delivery personnel wearing the helmet through the data sent by the helmet, thereby further providing a data base for delivery scheduling.
Optionally, the behavior information further includes indication information indicating whether the dispenser wears the helmet in a state of performing the dispensing task;
wherein the supervision processing rules include the following rules: determining that the dispenser is not in violation when the indication information indicates that the dispenser is not wearing a helmet and the altitude information indicates that the dispenser is in a floor. In this way, the distribution states of the distributors are distinguished through the helmets, and whether the helmet wearing states of the distributors are illegal or not is determined according to different distribution states, so that the flexibility in the supervision process of the helmet wearing states of the distributors is improved.
In a second aspect, the present disclosure provides a helmet comprising:
the helmet comprises a helmet body, a main control module arranged on the helmet body and a detection module arranged on the helmet body, wherein the detection module is connected with the main control module;
the detection module comprises a strap tension sensor and one or more of a pressure sensor, a temperature sensor, a capacitance sensor, a strap buckle sensor and a gyroscope;
the main control module is used for determining whether a user wears the helmet or not according to the sensor data of the detection module.
That is to say, the helmet can acquire corresponding data generated when a user wears the helmet through the sensor in the detection module, and then the main control module can determine whether the user wears the helmet according to the data acquired by the sensor (for example, the strap tension value of the helmet acquired by the strap tension sensor), so as to achieve an effect of monitoring the wearing state of the helmet of the user.
Optionally, the helmet further includes a tail light, the detection module further includes a light sensor, and correspondingly, the main control module is further configured to control the tail light of the helmet to turn on if the light intensity represented by the data detected by the light sensor is lower than a light intensity threshold; and/or, the helmet further comprises a brake lamp, the detection module further comprises an acceleration sensor, and correspondingly, the main control module is further configured to control the brake lamp of the helmet to be turned on if the acceleration value of the deceleration of the user, which is represented by the data detected by the acceleration sensor, exceeds a preset acceleration threshold value. Therefore, the safety of the driver wearing the helmet at night can be effectively improved by arranging the tail lamp and/or the brake lamp on the helmet.
Optionally, the detection module further comprises an air pressure sensor;
the main control module is further used for determining the altitude information of the position of the user wearing the helmet according to the data detected by the air pressure sensor. In practical application, the main control module can also judge the floor where the helmet wearer is located, and further can judge the mode (walking on stairs or taking an elevator) of the helmet wearer to go to the floor through the change rate of the altitude of the helmet wearer.
Optionally, the main control module is detachably assembled on the helmet body. The main control module is convenient to replace, upgrade and maintain.
Optionally, be formed with on the helmet body and be used for holding host system's holding tank, host system is last be provided with protrusion in the sensor contact on host system surface, set up on the holding tank with sensor contact joint complex through-hole, work as the sensor contact with during the through-hole joint, the sensor contact switches on host system with the electricity between the sensor in the detection module is connected. The mode provides a simple, convenient and effective electric connection mode of the main control module and the detection module on the basis of ensuring the detachable main control module.
Optionally, the method further comprises:
the first communication module is connected with the main control module and is used for sending the behavior information of the helmet worn by the user to a server; alternatively, the first and second electrodes may be,
and the second communication module is connected with the main control module and is used for sending the behavior information of the helmet worn by the user to the mobile terminal of the user so that the mobile terminal sends the behavior information to the server. Therefore, the related data detected by the detection module can be uploaded to the server through the helmet and/or the mobile terminal, and the server can perform data analysis.
In a third aspect, the present disclosure provides a helmet detection system comprising:
a mobile terminal, a helmet, a server;
the helmet comprises a first communication module connected with the main control module, and is used for the helmet to communicate with a mobile terminal of a user, and the mobile terminal is in communication connection with the server;
wherein the helmet is a helmet according to any one of the above second aspects. The system can acquire wearing data of a user wearing the helmet through a corresponding sensor in the helmet, and send the wearing data to a server through a communication module in the helmet directly or through the mobile terminal for data analysis by the server.
The technical scheme at least comprises the following technical effects:
by arranging the sensor in the helmet, corresponding data generated when a user wears the helmet can be acquired through the sensor, and whether the user wears the helmet can be determined according to the data acquired by the sensor (for example, a strap tension value of the helmet acquired by a strap tension sensor), so that the effect of monitoring the wearing state of the helmet of the user is achieved.
Additional features and advantages of the disclosure will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure without limiting the disclosure. In the drawings:
fig. 1 is a schematic flow chart of a method for helmet monitoring, according to an exemplary embodiment of the present disclosure.
Fig. 2 is a schematic view of a helmet according to an exemplary embodiment of the present disclosure.
Fig. 3 is a flowchart illustrating a helmet wearing state determination according to an exemplary embodiment of the present disclosure.
Fig. 4 is a schematic diagram of a control flow of a tail light according to an exemplary embodiment of the present disclosure.
Fig. 5 is a schematic diagram of a headlamp control logic shown in an exemplary embodiment of the present disclosure.
Fig. 6 is a schematic view of a helmet according to an exemplary embodiment of the present disclosure.
Fig. 7 is a schematic view of a helmet according to an exemplary embodiment of the present disclosure.
Fig. 8 is a schematic view of a helmet according to an exemplary embodiment of the present disclosure.
Fig. 9 is a schematic diagram of a helmet master control module according to an exemplary embodiment of the present disclosure.
FIG. 10 is a block diagram of an electronic device shown in an exemplary embodiment of the present disclosure.
Reference numerals
201-infrared temperature sensor, 202-pressure sensor, 203-capacitance sensor, 601-light sensor, 602-tail lamp, 701-head lamp, 800-main control module, 801-first main control module contact, 802-second main control module contact, 803-third main control module contact, 804-fourth main control module contact, 805-fifth main control module contact, 806-sixth main control module contact.
Detailed Description
The following detailed description of specific embodiments of the present disclosure is provided in connection with the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present disclosure, are given by way of illustration and explanation only, not limitation.
Before introducing the method for helmet monitoring provided by the present disclosure, an application scenario of embodiments of the present disclosure is first introduced.
The helmet is a solid protective barrier in the riding process of a user. Medical research has found that a user wearing a helmet while riding can prevent 85% of head injuries, which in turn can reduce the accident mortality. In recent years, with the advent of relevant regulations, the supervision of electric riding vehicles is increasing, and whether a user wears a helmet or not is becoming a key supervision object. In the industries of logistics distribution, takeaway distribution and the like, the distribution personnel wear the helmet as the most basic requirement in the distribution process, and the helmet is the regulation required by the regulations in the relevant regulations. However, in the related art, as for whether the distribution personnel wear the helmet during riding, effective supervision and guidance cannot be performed due to technical limitations, and enterprises cannot perform self-checking and self-checking.
To this end, the present disclosure provides a method for helmet monitoring, and fig. 1 is a schematic flow chart of a method for helmet monitoring according to an exemplary embodiment of the present disclosure, as shown in fig. 1, the method includes:
s11, obtaining sensor data including data generated by a user wearing the helmet detected by sensors in the helmet, the sensors including strap tension sensors, the sensor data including tension values of straps of the helmet detected by the strap tension sensors.
S12, determining whether the user wears the helmet or not according to the sensor data.
By adopting the technical scheme, the sensor is arranged in the helmet, so that corresponding data generated when the user wears the helmet can be acquired through the sensor, whether the user wears the helmet or not can be determined according to the data acquired by the sensor (for example, the strap tension value of the helmet acquired by the strap tension sensor), and the effect of monitoring the wearing state of the helmet of the user is achieved.
For example, the method may be applied to the helmet, the sensors may further comprise temperature sensors, arranged inside the helmet, the number of temperature sensors may be one or more. The helmet can also be provided with a main control module, the main control module can determine a temperature value by calculating corresponding temperature sensor data, and the temperature value is compared with a preset temperature value range, so that a judgment result of the temperature is obtained. And further determining whether the user wears the helmet by integrating the tension values of the straps of the helmet detected by the strap tension sensors. Further, in addition to the temperature sensor, the sensor may include, but is not limited to, a pressure sensor, an infrared sensor, and the like, when embodied.
For example, in one possible implementation, the sensors further include one or more of a pressure sensor, a temperature sensor, a capacitance sensor, a strap buckle sensor, and a gyroscope, and the step S11 includes:
acquiring one or more of data detected by the pressure sensor, the temperature sensor, a capacitance sensor, a strap buckle sensor, and a gyroscope;
the step S12 includes:
judging whether the data of each sensor meets the preset conditions corresponding to the sensor;
and if the data of any sensor does not meet the preset conditions corresponding to the sensor, determining that the user does not wear the helmet.
For example, a main board chip board card may be disposed in the helmet, and the board card is provided with interfaces corresponding to various sensors, such as a capacitive sensor interface, a tension sensor interface, and the like. In addition, the various types of sensors described above may also be used alone or in combination in specific implementations. For example, a temperature sensor may be used in conjunction with a gyroscope, a strap snap sensor may be used in conjunction with a gyroscope, or a helmet as shown in fig. 2, an infrared temperature sensor 201, a pressure sensor 202, and a capacitive sensor 203 may be used in conjunction, and so forth. That is to say, the control end (for example, the main control module, the mobile terminal or the server in the helmet, etc.) can comprehensively judge the helmet wearing state of the user in combination with the detection data of the various sensors, so that the detection accuracy of the helmet wearing state can be improved.
In a possible implementation manner, when the data of each sensor is integrated to determine the wearing state of the user's helmet, a weight may be further set for the determination result of each sensor, and the final wearing state of the user's helmet may be determined according to the weight value and the determination result of each sensor. For example, for sensors that are susceptible to environmental interference (e.g., temperature sensors), the weight value of such sensors may be reduced. In contrast, the weight values of the measurement results of the elements such as the gyroscope and the strap tension sensor can be increased, and thus the detection accuracy can be further improved.
It is also worth mentioning that, when the user is wearing the helmet normally:
for the pressure sensor, since the helmet is attached to the head by its own weight and shape, the pressure value detected by the pressure sensor should exceed a predetermined pressure value.
For the temperature sensor, for example, an infrared temperature sensor, which can detect the temperature of the human body at a close distance, the temperature of the user should be stable in the corresponding interval when wearing the helmet. Therefore, the temperature detected by the infrared temperature sensor should be positive and negative preset X degrees of the human body temperature within a certain time T seconds.
For the capacitance sensor, within a certain time T seconds, the response caused by the intervening object may result in a change in capacitance value, so that when the helmet is worn normally, the capacitance value should remain stable within a corresponding interval and exceed a predetermined value.
For the strap snap sensor, for example, a corresponding contact sensor may be provided, which, in the case of a normal wearing of the helmet by the user, is intended to generate an electrical signal.
For example, the helmet may include a first strap and a second strap, a first end of the first strap and a first end of the second strap are both connected to the helmet body, a second end of the first strap is connected to the female buckle end, and a second end of the second strap is connected to the male buckle end, wherein the strap buckle sensor may include the female buckle end and the male buckle end, and is configured to generate an electrical signal when the female buckle end and the male buckle end are buckled. Therefore, the main control module can confirm that the user is buckled and connected with the helmet strap when the user wears the helmet when acquiring the electric signal generated by the strap buckling sensor.
Specifically, the female end of the buckle may include an electrode plate connected to one end of the power supply, and the male end of the buckle may include another electrode plate connected to the other end of the power supply. Like this, when female end of buckle and the sub-end joint of buckle, two electrode slices contact, can switch on the electric circuit, produce the signal of telecommunication, and main control module can be located among this electric circuit, and for example this main control module can provide the power for bandage buckle sensor. In addition, it is worth to be noted that, the structure for specifically realizing the clamping between the female buckle end and the male buckle end is not limited in the present disclosure.
In connection with the above, for the strap tension sensor, when the helmet is worn normally, the strap should be adjusted to fit the head, and therefore the tension sensor should detect a tension exceeding a preset value.
Similarly, the helmet should not be stationary for extended periods of time (i.e., no rotation in any direction) during use. Therefore, if the gyroscope parameter is not changed within the preset T seconds, it is determined that the user does not wear a helmet.
Thus, in another possible embodiment, the determining whether the data of each sensor satisfies the preset condition corresponding to the sensor includes one or more of the following conditions:
for the pressure sensor, it may be determined whether a pressure value represented by the data detected by the pressure sensor is greater than a predetermined pressure value, and if so, it is determined that the data detected by the pressure sensor satisfies a preset condition, otherwise, the data does not satisfy the preset condition. Further, for the case of having multiple pressure sensors, it may also be determined whether the difference between the pressure values detected by the multiple sensors is within a preset difference range, and if the pressure value detected by each pressure sensor is greater than the corresponding predetermined pressure value and the difference between the pressure values detected by each sensor is within the preset difference range, it is determined that the data detected by the pressure sensor satisfies the preset condition, otherwise, the preset condition is not satisfied.
For a gyroscope, it can be judged that the deviation value of the helmet represented by the data detected by the gyroscope in the positive direction of each axis of the gyroscope is smaller than a preset deviation value, if so, the data detected by the gyroscope is determined to meet a preset condition, otherwise, the data does not meet the preset condition. Further, the time length of the data detected by the gyroscope which is not changed can be judged, and if the time length is longer than the preset time length, the helmet is in a static placing state, that is, the user does not wear the helmet.
For the temperature sensor, whether a temperature value represented by data detected by the temperature sensor is within a preset human body temperature range or not can be judged, if so, the data detected by the gyroscope is determined to meet a preset condition, otherwise, the data does not meet the preset condition; or if the duration that the detected temperature value is within the preset human body temperature range is longer than the preset duration, determining that the data detected by the gyroscope meets the preset condition, otherwise, determining that the data does not meet the preset condition.
For the capacitive sensor, whether a capacitance value represented by data detected by the capacitive sensor is within a preset capacitance range or not can be judged, if so, the data detected by the capacitive sensor is determined to meet a preset condition, otherwise, the data does not meet the preset condition.
The method comprises the steps that whether data representing that a bandage buckle of the helmet is clamped are detected by the bandage buckle sensor or not can be judged, if the data are detected, the preset condition corresponding to the corresponding bandage buckle sensor is determined to be met, and otherwise, the preset condition is not met.
And aiming at the strap tension sensor, whether the tension value of the helmet strap detected by the strap tension sensor and represented by the data is larger than a preset tension value or not can be judged, if so, the fact that the data detected by the strap tension sensor meets a preset condition is determined, and if not, the fact that the data does not meet the preset condition is determined.
Taking fig. 2 as an example, the helmet may be provided with an infrared temperature sensor 201, a pressure sensor 202, a capacitance sensor 203, a strap tension sensor (which may be, for example, a micro resistance strain gauge sensor, not shown in the figure), and a gyroscope (not shown in the figure). Referring to a flowchart for determining a wearing state of a helmet shown in fig. 3, after the initialization of the control system is completed, the corresponding sensor data and the gyroscope data may be read, so as to determine whether each sensor data meets a preset condition range. And if the deviation angle value of the helmet, represented by the data detected by the gyroscope, in the positive direction of each axis of the helmet relative to the gyroscope is judged to be larger than a preset deviation value X, determining that the user does not wear the helmet. Similarly, the data of the pressure sensor, the data of the infrared temperature sensor, the data of the capacitance sensor and the data of the strap tension sensor can be read, the read data is compared with a preset data range, and if any one of the sensor data is not in accordance with the preset data range, it is determined that the user does not wear the helmet normally. Therefore, the control end can comprehensively judge the wearing state of the helmet of the user by combining the detection data of various sensors, and the detection accuracy of the wearing state of the helmet can be improved.
Optionally, the user is a distributor, and on the basis of fig. 1, the method further includes:
acquiring behavior information of a user as a distributor wearing the helmet;
and sending the behavior information to a server, wherein the behavior information is used for executing corresponding supervision action on the deliverer according to the supervision treatment rule when the server determines that the behavior information meets the preset supervision treatment rule.
Still referring to fig. 3, in an embodiment, the control system in the helmet may send the result of each helmet wearing determination to the mobile terminal through a communication module (e.g., a bluetooth module, a ZigBee module, etc.) in the helmet, and the mobile terminal determines, according to the result of each helmet wearing determination, frequency information and/or duration information that the distributor does not wear the helmet. The mobile terminal can also send behavior information comprising frequency information and/or duration information of the helmet not worn by the distribution personnel to a server, so that the helmet wearing state of each distribution personnel can be monitored.
In another embodiment, the helmet may include a GSM module or a WIFI module, the control system in the helmet may determine, according to each historical helmet wearing determination result stored therein, frequency information and/or duration information that a delivery person wearing the helmet does not wear the helmet, and send behavior information including the frequency information and/or duration information that the delivery person does not wear the helmet to the server through the GSM module or the WIFI module in the helmet, so as to provide data support for the server to monitor and manage the helmet wearing state of the delivery person.
In another embodiment, the helmet may include a GSM module or a WIFI module, the control system in the helmet may directly send the helmet wearing determination result to the server through the GSM module or the WIFI module in the helmet, and the server may determine frequency information and/or duration information that each delivery person does not wear the helmet by recording the helmet wearing determination result of each delivery person each time, thereby monitoring the helmet wearing state of each delivery person.
In another embodiment, the server may be a distribution server, and the server may alert a distribution person when it is determined that the helmet wearing frequency and/or duration of the distribution person is lower than a preset threshold, for example, an alert message may be pushed to a mobile terminal of the distribution person.
In another embodiment, the server may be a delivery server, and when determining that the behavior information of the delivery personnel meets a preset regulatory penalty rule (for example, the helmet wearing frequency and/or duration of the delivery personnel is lower than a preset threshold), the server may perform a corresponding penalty action on the delivery personnel according to the penalty rule. For example, the server may terminate the dispatch process for the dispatch personnel.
In this way, the helmet and the server are combined, so that the effect of detecting the wearing state of the helmet of the delivery personnel can be achieved. Moreover, when the wearing frequency and/or duration of the helmet of the distribution personnel are/is lower than a preset threshold value, the distribution personnel can be correspondingly supervised, and the problem that whether the distribution personnel wear the helmet in the riding process or not can not be effectively supervised and managed in the related technology is solved.
Optionally, the helmet comprises a tail light, the method further comprising:
acquiring data detected by a light sensor in the helmet;
if the light intensity represented by the data detected by the light sensor is lower than the light intensity threshold value, the tail lamp of the helmet is controlled to be turned on, and therefore the riding safety of a user in a dim light environment can be improved.
Optionally, the helmet comprises a headlamp, the method further comprising:
acquiring data detected by an acceleration sensor in the helmet;
and if the data detected by the acceleration sensor indicate that the acceleration value of the deceleration of the user exceeds a preset acceleration threshold value, controlling a brake lamp of the helmet to be turned on.
For example, when a user brakes, if the helmet control system determines that the deceleration value of the user is greater than a preset threshold value based on data detected by the acceleration sensor, the helmet control system may control the brake lamp to turn on, so as to warn a vehicle and a pedestrian behind, and finally reduce the occurrence rate of traffic accidents such as rear-end collision and side collision.
Fig. 4 is a schematic diagram illustrating a control flow path of a tail light according to an exemplary embodiment of the disclosure, and the helmet includes a light sensor and an acceleration sensor, as shown in fig. 4. After the control system is powered on and initialized, the data of the optical sensor and the data of the three-axis acceleration sensor can be respectively acquired. If the tail lamp is in a closed state and the light intensity value represented by the data detected by the light sensor is lower than the light intensity threshold value for a preset value T seconds, controlling the tail lamp of the helmet to be turned on; if the tail lamp is in the on state and the light intensity value represented by the data detected by the light sensor lasts for T seconds is greater than the light intensity threshold value, controlling the tail lamp of the helmet to be turned off; and if the angle change of the data X and/or Y axis detected by the three-axis acceleration sensor exceeds a preset angle value, controlling a brake lamp of the helmet to be turned on.
Optionally, the method further comprises:
collecting sound information;
and when the sound information is identified to be matched with preset sound information, generating a head lamp control instruction corresponding to the preset sound information, wherein the head lamp control instruction is used for controlling the head lamp of the helmet to be turned on or turned off.
The preset sound information can be automatically input by a user.
In one embodiment, the helmet is provided with a sound collection device, a main control module and a storage device. The sound collection device can collect sound information in the environment and the main control module compares the collected sound information with pre-recorded voice information, and when the main control module identifies that the sound information is matched with the pre-recorded voice information, a headlamp control instruction corresponding to the pre-recorded voice information is generated to control the headlamp of the helmet to be turned on or turned off.
Referring to fig. 5, in another embodiment, a bluetooth module is disposed in the helmet, and the sound information may also be obtained by a mobile terminal of a user. For example, sound information in an environment can be acquired by a smart phone of a user, and after the smart phone acquires voice information matched with the voice information pre-entered into the smart phone by the user, the smart phone can generate a corresponding control instruction and send the control instruction to the helmet through the bluetooth module, so as to control the head lamp of the helmet to be turned on or turned off.
Still referring to fig. 5, in an embodiment, a mechanical switch corresponding to the head lamp is further disposed on the helmet, an APP (Application program) corresponding to a head lamp function of the helmet is further included on a mobile terminal of a user, and the user can turn off a voice control function corresponding to the head lamp through the APP. That is to say, the user can select whether to control the head lamp of the helmet to turn on through the pronunciation to promote user's operating flexibility.
Optionally, the behavior information includes altitude information of a location where a user wearing the helmet is located, where the altitude information is obtained by:
acquiring data detected by an air pressure sensor in the helmet;
and determining the altitude information of the position of the user wearing the helmet according to the data detected by the air pressure sensor.
For example, during the distribution process of the distributor, the main control module in the helmet can determine the altitude information of the position where the distributor is located according to the data detected by the air pressure sensor in the helmet. And the altitude information is sent to the background database, so that the altitude information data of the distribution personnel can be provided for the background, more accurate positions of the distribution personnel can be provided for the clients, and the improvement of the goodness of the clients is facilitated.
In one possible embodiment, the altitude information includes an altitude, and the server determines a floor where a user as a distributor is located according to the altitude;
in another possible embodiment, the altitude information includes an altitude change rate, and the server determines the way of the user going upstairs as the distributor according to the altitude change rate.
In addition, in a specific implementation, the altitude information may also include the altitude and the altitude change rate, which is not limited in this disclosure.
For example, the main control chip may determine an upstairs going mode according to air pressure change data of the dispatching personnel during the action process, determine that the dispatching personnel upstairs by taking an elevator if the air pressure change speed exceeds a first threshold within a certain time T seconds, and determine that the dispatching personnel upstairs by foot if the air pressure change speed exceeds a second threshold (the second threshold is smaller than the first threshold). That is to say, can be according to the data that baroceptor in the helmet detected come confirm the floor and the mode of going upstairs that the delivery personnel are located to let the customer audio-visual understanding own goods state, help promoting customer's good rate.
Optionally, the behavior information further includes indication information indicating whether the dispenser wears the helmet in a state of performing the dispensing task;
wherein the supervision processing rules include the following rules: determining that the dispenser is not in violation when the indication information indicates that the dispenser is not wearing a helmet and the altitude information indicates that the dispenser is in a floor.
In this way, the distribution states of the distributors are distinguished through the helmets, and whether the helmet wearing states of the distributors are illegal or not is determined according to different distribution states, so that the flexibility in the supervision process of the helmet wearing states of the distributors is improved.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are all expressed as a series of action combinations, but those skilled in the art should understand that the present invention is not limited by the described action sequence. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred and that no particular act is required to implement the invention.
The present disclosure also provides a helmet comprising:
the helmet comprises a helmet body, a main control module arranged on the helmet body and a detection module arranged on the helmet body, wherein the detection module is connected with the main control module;
the detection module comprises a strap tension sensor and one or more of a pressure sensor, a temperature sensor, a capacitance sensor, a strap buckle sensor and a gyroscope;
the main control module is used for determining whether a user wears the helmet or not according to the sensor data of the detection module.
The helmet can acquire corresponding data generated when a user wears the helmet through the sensor in the detection module, and then the main control module can determine whether the user wears the helmet according to the data acquired by the sensor (for example, the strap tension value of the helmet acquired by the strap tension sensor), so that the effect of monitoring the wearing state of the helmet of the user is achieved.
Optionally, as shown in fig. 6, the helmet further comprises a tail light 602, and the detection module further comprises a light sensor 601;
correspondingly, the main control module is further configured to control the tail light of the helmet to turn on if the light intensity represented by the data detected by the light sensor is lower than a light intensity threshold.
In a possible embodiment, the helmet further comprises a brake light, the detection module further comprises an acceleration sensor;
correspondingly, the main control module is further configured to control a brake lamp of the helmet to be turned on if the data detected by the acceleration sensor indicates that the acceleration value of the deceleration of the user exceeds a preset acceleration threshold value.
For example, when a user brakes, if the main control module determines that the deceleration value of the user is greater than a preset threshold value based on data detected by the acceleration sensor, the main control module may control the brake lamp to be turned on, so as to warn a vehicle and a pedestrian behind, and finally reduce the occurrence rate of traffic accidents such as rear-end collision and side collision.
It is worth mentioning that, in addition to the above, the helmet may also include the tail light and the stop light at the same time when embodied. Therefore, the safety of the driver wearing the helmet at night can be effectively improved by arranging the tail lamp and/or the brake lamp on the helmet.
Optionally, referring to fig. 7, the helmet further includes a head lamp 701, and a sound collection device connected to the main control module, where the sound collection device is configured to collect sound information;
the main control module is further configured to generate a headlamp control instruction corresponding to preset sound information when it is identified that the sound information matches the preset sound information, where the headlamp control instruction is used to control a headlamp 701 of the helmet to be turned on or off.
That is to say, when the user uses the helmet, the user can control the turning on or off of the headlight 701 through voice, so that the practicability of the helmet can be improved, and the helmet wearing rate of the user can be improved.
Optionally, the detection module further comprises an air pressure sensor;
the main control module is further used for determining the altitude information of the position of the user wearing the helmet according to the data detected by the air pressure sensor.
Optionally, the helmet further comprises:
the first communication module is connected with the main control module and is used for sending the behavior information of the helmet worn by the user to a server; alternatively, the first and second electrodes may be,
and the second communication module is connected with the main control module and is used for sending the behavior information of the helmet worn by the user to the mobile terminal of the user so that the mobile terminal sends the behavior information to the server.
For example, in one embodiment, the behavior information may include: the helmet management system comprises frequency information and/or duration information of the helmet which is not worn, wherein the behavior information is used for executing corresponding supervision actions on a user serving as a distributor according to a supervision rule when a server providing distribution service determines that the behavior information meets a preset supervision rule.
For example, the helmet may transmit behavior information of a user wearing the helmet to the server through the first communication module. In an embodiment, the helmet may also send behavior information of the user wearing the helmet to the mobile terminal through the second communication module, and the mobile terminal sends the behavior information to the server, so that the wearing state of the helmet of each distribution worker can be monitored.
In another embodiment, the behavior information may further include altitude information of a location where the user wearing the helmet is located, the altitude information including an altitude for the server providing the delivery service to determine a floor on which the user as the dispenser is located and/or a rate of change in altitude for the server providing the delivery service to determine a manner of going upstairs of the user as the dispenser.
For example, the helmet can determine the upstairs mode according to the air pressure change data of the distribution personnel during the action. For example, if the air pressure change speed exceeds the first threshold value within a certain time T seconds, it is determined that the dispenser ascends the floor by taking the elevator, and if the air pressure change speed exceeds the second threshold value (the second threshold value is smaller than the first threshold value), it is determined that the dispenser ascends the floor by walking. That is, the helmet can determine the floor where the dispenser is located and the way of going upstairs according to the data detected by the air pressure sensor in the helmet. In addition, the helmet can also send the behavior information to a server, so that a background can know the state of a deliverer more accurately, and more data bases are provided for background supervision.
In another embodiment, the server may be a distribution server, the main control module may send the behavior information to the server through the first communication module, and the server may alert a distributor when it is determined through the behavior information that the wearing frequency and/or duration of the helmet of the distributor is lower than a preset threshold, for example, may push an alert message to a mobile terminal of the distributor.
In addition, in an embodiment, the helmet may also send the behavior information to the mobile terminal through the second communication module, and the mobile terminal processes the behavior information to obtain the helmet wearing frequency and/or duration of the distribution staff. And the mobile terminal sends the helmet wearing frequency and/or duration of the distribution personnel to a server, so that a data base is provided for the supervision of the server.
Optionally, be formed with on the helmet body and be used for holding host system's holding tank, host system is last be provided with protrusion in the sensor contact on host system surface, set up on the holding tank with sensor contact joint complex through-hole, work as the sensor contact with during the through-hole joint, the sensor contact switches on host system with the electricity between the sensor in the detection module is connected.
Referring to fig. 8, the main control module 800 is detachably connected to the helmet body. For example, the main control module 800 may be assembled on the helmet body in a bolt connection manner. In an embodiment, the main control module 800 may also be assembled on the helmet body in a clamping manner, wherein a clamping groove is formed on the helmet body, and a clamping block clamped in the clamping groove is formed on the corresponding main control module 800.
For the main control module 800, as shown in fig. 9, the main control module 800 includes a first main control module contact 801, a second main control module contact 802, a third main control module contact 803, a fourth main control module contact 804, a fifth main control module contact 805, and a sixth main control module contact 806. In particular implementations, the first master control module contact 801 may correspond to a pressure sensor, the second master control module contact 802 may correspond to a gyroscope, the third master control module contact 803 may correspond to a temperature sensor, the fourth master control module contact 804 may correspond to a capacitance sensor, the fifth master control module contact 805 may correspond to a strap snap sensor, and the sixth master control module contact 806 may correspond to a strap tension sensor. As shown in fig. 9, the main control module 800 may further include other main control module contacts to correspond to other sensors or components, and the number of the main control module contacts and the corresponding components thereof are not limited in the present disclosure.
In addition, the main control module 800 may further include a main control chip and a power supply battery, an electrical connection terminal of the sensor is formed at the through hole of the receiving groove, and when the sensor contact contacts the electrical connection terminal, a data transmission circuit between the main control chip and the sensor and a power supply circuit between the power supply battery and the sensor can be conducted.
The main control module can be connected with each sensor and each component in a wiring mode inside the helmet, so that data can be transmitted and processed, and corresponding control functions, such as control over headlights and tail lights, are realized. Moreover, by adopting a detachable assembly mode, the difficulty of the main control module in the processes of upgrading, maintaining, charging, replacing and the like is reduced, and the practicability of the helmet is improved.
It should be noted that, for the convenience and simplicity of description, the embodiments described in the specification are all preferred embodiments, and the related parts are not necessarily essential to the present invention, for example, the tail light 602 and the stop light may be independent devices or the same device when being implemented. For another example, the first communication module and the second communication module may be independent devices or may be the same device when implemented, and the disclosure is not limited thereto.
The present disclosure also provides a helmet detection system, comprising:
a mobile terminal, a helmet, a server;
the helmet comprises a first communication module connected with the main control module, and is used for the helmet to communicate with a mobile terminal of a user, and the mobile terminal is in communication connection with the server;
wherein the helmet is the helmet described in any of the above embodiments.
For example, the system may be applied to the field of distribution, and the helmet may detect behavior information of a distributor, and transmit behavior information (for example, frequency information and/or duration information of the distributor wearing the helmet) generated by the user wearing the helmet to a server through a first communication module in the helmet. In an embodiment, the helmet may also send the behavior information to the mobile terminal through the second communication module, and the mobile terminal sends the behavior information to the server, so that the wearing state of the helmet of each distribution worker can be monitored.
Like this, through the combination of helmet, intelligent terminal and server, can realize carrying out the effect that detects to the helmet wearing state of delivery personnel. Moreover, when the wearing frequency and/or duration of the helmet of the distribution personnel are/is lower than a preset threshold value, the distribution personnel can be correspondingly supervised, and the problem that whether the distribution personnel wear the helmet in the riding process or not can not be effectively supervised and managed in the related technology is solved.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
Fig. 10 is a block diagram illustrating an electronic device 1000 in accordance with an example embodiment. For example, the electronic device 1000 may be provided as a distribution server. Referring to fig. 10, the electronic device 1000 includes a processor 1022, which may be one or more in number, and a memory 1032 for storing computer programs executable by the processor 1022. The computer programs stored in memory 1032 may include one or more modules that each correspond to a set of instructions. Further, the processor 1022 may be configured to execute the computer program to perform the above-described method for helmet monitoring.
Additionally, the electronic device 1000 may also include a power component 1026 and a communication component 1050, the power component 1026 may be configured to perform power management of the electronic device 1000, and the communication component 1050 may be configured to enable communication of the electronic device 1000, e.g., wirelessly with the helmet. In addition, the electronic device 1000 may also include input/output (I/O) interfaces 1058. The electronic device 1000 may operate based on an operating system stored in memory 1032, such as a Windows Server, Mac OS XTM, UnixTM, Linux, and the like.
In another exemplary embodiment, a computer readable storage medium comprising program instructions which, when executed by a processor, implement the steps of the above-described method for helmet monitoring is also provided. For example, the computer readable storage medium may be the memory 1032 comprising program instructions executable by the processor 1022 of the electronic device 1000 to perform the method for helmet monitoring described above.
In another exemplary embodiment, a computer program product is also provided, which comprises a computer program executable by a programmable apparatus, the computer program having code portions for performing the above-described method for helmet monitoring when executed by the programmable apparatus.
The preferred embodiments of the present disclosure are described in detail with reference to the accompanying drawings, however, the present disclosure is not limited to the specific details of the above embodiments, and various simple modifications may be made to the technical solution of the present disclosure within the technical idea of the present disclosure, and these simple modifications all belong to the protection scope of the present disclosure.
It should be noted that, in the foregoing embodiments, various features described in the above embodiments may be combined in any suitable manner, and in order to avoid unnecessary repetition, various combinations that are possible in the present disclosure are not described again.
In addition, any combination of various embodiments of the present disclosure may be made, and the same should be considered as the disclosure of the present disclosure, as long as it does not depart from the spirit of the present disclosure.
Claims (14)
1. A method for helmet monitoring, the method comprising:
obtaining sensor data comprising data detected by sensors in the helmet that result from a user wearing the helmet, the sensors comprising strap tension sensors, the sensor data comprising tension values of straps of the helmet detected by the strap tension sensors;
determining whether the user is wearing the helmet from the sensor data.
2. The method of claim 1, wherein the sensors further comprise one or more of a pressure sensor, a temperature sensor, a capacitive sensor, a strap buckle sensor, and a gyroscope, the acquiring sensor data comprising:
acquiring one or more of data detected by the pressure sensor, temperature sensor, capacitance sensor, strap buckle sensor, and gyroscope;
the determining from the sensor data whether the user is wearing the helmet comprises:
judging whether the data of each sensor meets the preset conditions corresponding to the sensor;
and if the data of any sensor does not meet the preset conditions corresponding to the sensor, determining that the user does not wear the helmet.
3. The method of claim 2, wherein the determining whether the data of each sensor satisfies the predetermined condition corresponding to the sensor comprises one or more of the following conditions:
judging whether a pressure value represented by the data detected by the pressure sensor is greater than a preset pressure value or not;
judging that the deviation value of the helmet represented by the data detected by the gyroscope in the positive direction of each axis of the gyroscope is smaller than a preset deviation value;
judging whether the temperature value represented by the data detected by the temperature sensor is within a preset human body temperature range or not;
judging whether the capacitance value represented by the data detected by the capacitance sensor is within a preset capacitance range or not;
judging whether the belt buckle sensor detects data representing that a belt buckle of the helmet is clamped or not;
and judging whether the tension value of the helmet strap detected by the strap tension sensor and represented by the data is larger than a preset tension value or not.
4. The method of claim 1, further comprising:
acquiring behavior information of a user as a distributor wearing the helmet;
and sending the behavior information to a server, wherein the behavior information is used for executing corresponding supervision action on the deliverer according to the supervision treatment rule when the server determines that the behavior information meets the preset supervision treatment rule.
5. The method of claim 4, wherein the behavior information comprises altitude information of a location where a user wearing the helmet is located, wherein the altitude information is obtained by:
acquiring data detected by an air pressure sensor in the helmet;
and determining the altitude information of the position of the user wearing the helmet according to the data detected by the air pressure sensor.
6. The method of claim 5, wherein the altitude information includes an altitude from which the server determines a floor on which a user as a distributor is located; alternatively, the first and second electrodes may be,
the altitude information comprises altitude change rate, and is used for the server to determine the upstairs going mode of the user as the distributor according to the altitude change rate.
7. The method according to claim 5, wherein the behavior information further includes indication information characterizing whether a dispenser wears a helmet in a state where a dispensing task is performed;
wherein the supervision processing rules include the following rules: determining that the dispenser is not in violation when the indication information indicates that the dispenser is not wearing a helmet and the altitude information indicates that the dispenser is in a floor.
8. A helmet, comprising:
the helmet comprises a helmet body, a main control module arranged on the helmet body and a detection module arranged on the helmet body, wherein the detection module is connected with the main control module;
the detection module comprises a strap tension sensor and one or more of a pressure sensor, a temperature sensor, a capacitance sensor, a strap buckle sensor and a gyroscope;
the main control module is used for determining whether a user wears the helmet or not according to the sensor data of the detection module.
9. The helmet of claim 8, wherein the helmet further comprises a tail light, the detection module further comprises a light sensor, and accordingly, the main control module is further configured to control the tail light of the helmet to turn on if the light intensity represented by the data detected by the light sensor is lower than a light intensity threshold; and/or, the helmet further comprises a brake lamp, the detection module further comprises an acceleration sensor, and correspondingly, the main control module is further configured to control the brake lamp of the helmet to be turned on if the acceleration value of the deceleration of the user, which is represented by the data detected by the acceleration sensor, exceeds a preset acceleration threshold value.
10. The helmet of claim 8, wherein the detection module further comprises an air pressure sensor;
the main control module is further used for determining the altitude information of the position of the user wearing the helmet according to the data detected by the air pressure sensor.
11. The helmet according to any one of claims 8 to 10, wherein the main control module is detachably mounted on the helmet body.
12. The helmet according to claim 11, wherein a receiving groove for receiving the main control module is formed in the helmet body, a sensor contact protruding out of the surface of the main control module is arranged on the main control module, a through hole in clamping fit with the sensor contact is formed in the receiving groove, and when the sensor contact is in clamping fit with the through hole, the sensor contact conducts electrical connection between the main control module and a sensor in the detection module.
13. The helmet of claim 8, further comprising:
the first communication module is connected with the main control module and is used for sending the behavior information of the helmet worn by the user to a server; alternatively, the first and second electrodes may be,
and the second communication module is connected with the main control module and is used for sending the behavior information of the helmet worn by the user to the mobile terminal of the user so that the mobile terminal sends the behavior information to the server.
14. A helmet detection system, the helmet monitoring system comprising:
a mobile terminal, a helmet, a server;
the helmet comprises a first communication module connected with the main control module, and is used for the helmet to communicate with a mobile terminal of a user, and the mobile terminal is in communication connection with the server;
wherein the helmet is a helmet according to any one of claims 8 to 12.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911121450.5A CN110763282A (en) | 2019-11-15 | 2019-11-15 | Helmet, method for helmet monitoring, helmet detection system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911121450.5A CN110763282A (en) | 2019-11-15 | 2019-11-15 | Helmet, method for helmet monitoring, helmet detection system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110763282A true CN110763282A (en) | 2020-02-07 |
Family
ID=69338526
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911121450.5A Pending CN110763282A (en) | 2019-11-15 | 2019-11-15 | Helmet, method for helmet monitoring, helmet detection system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110763282A (en) |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111273450A (en) * | 2020-04-14 | 2020-06-12 | 湖南翰坤实业有限公司 | VR experience helmet and balance adjusting method thereof |
| CN111591379A (en) * | 2020-05-29 | 2020-08-28 | 天津特通科技有限公司 | Method, device and equipment for adjusting output power of shared electric bicycle based on wearing state of safety helmet and storage medium |
| US20210284267A1 (en) * | 2020-03-12 | 2021-09-16 | Hyundai Motor Company | Personal mobility device and control method thereof |
| CN113734927A (en) * | 2021-08-05 | 2021-12-03 | 安徽聚正科技有限公司 | Intelligent video monitoring system for elevator |
| CN113729343A (en) * | 2021-09-29 | 2021-12-03 | 王泰明 | Electric bicycle helmet wearing detection device and detection method |
| CN113753163A (en) * | 2021-08-13 | 2021-12-07 | 宁波喵走科技有限公司 | Method, device, storage medium and device for safe driving of shared electric vehicle |
| CN114063188A (en) * | 2021-10-14 | 2022-02-18 | 摩拜(北京)信息技术有限公司 | Method and device for acquiring wearing state of helmet and readable storage medium |
| CN114371655A (en) * | 2021-12-14 | 2022-04-19 | 河南嘉晨智能控制股份有限公司 | Detection device and detection method for industrial vehicle driver safety helmet wearing based on wireless induction |
| CN116953945A (en) * | 2023-09-19 | 2023-10-27 | 北京极溯光学科技有限公司 | Near-eye display device and near-eye display system |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105231573A (en) * | 2015-11-17 | 2016-01-13 | 重庆蓝岸通讯技术有限公司 | Safety warning helmet |
| CN207940388U (en) * | 2018-03-09 | 2018-10-09 | 常州得实新技术开发有限公司 | A kind of safety cap wearing supervisory systems |
| CN109303371A (en) * | 2017-11-16 | 2019-02-05 | 中国石油化工股份有限公司 | A kind of safety cap correctly wears intelligent checking system and method |
| CN109703658A (en) * | 2019-02-12 | 2019-05-03 | 陆宇超 | A kind of electric vehicle drives number of people helmet wearable system and its detection theft preventing method |
| CN109788820A (en) * | 2016-08-23 | 2019-05-21 | 贝尔运动股份有限公司 | Helmet safety lighting system |
| CN109965436A (en) * | 2019-03-19 | 2019-07-05 | 深圳市中胄智能科技有限公司 | A kind of bicycle wearing LED intelligent helmet |
| CN110150781A (en) * | 2018-11-29 | 2019-08-23 | 深圳来啊体育文化科技有限公司 | A kind of helmet wears monitoring device, the on-line monitoring helmet and safety monitoring system |
| CN110150785A (en) * | 2018-11-29 | 2019-08-23 | 深圳来啊体育文化科技有限公司 | A kind of intelligent helmet online monitoring system and method |
| CN110269304A (en) * | 2018-03-15 | 2019-09-24 | 杭州海康威视数字技术股份有限公司 | Safety cap, wearing state detection method and device, computer readable storage medium |
| CN209594834U (en) * | 2019-01-23 | 2019-11-08 | 四川超影科技有限公司 | It is a kind of that detection device is fallen based on intelligent safety helmet |
-
2019
- 2019-11-15 CN CN201911121450.5A patent/CN110763282A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105231573A (en) * | 2015-11-17 | 2016-01-13 | 重庆蓝岸通讯技术有限公司 | Safety warning helmet |
| CN109788820A (en) * | 2016-08-23 | 2019-05-21 | 贝尔运动股份有限公司 | Helmet safety lighting system |
| CN109303371A (en) * | 2017-11-16 | 2019-02-05 | 中国石油化工股份有限公司 | A kind of safety cap correctly wears intelligent checking system and method |
| CN207940388U (en) * | 2018-03-09 | 2018-10-09 | 常州得实新技术开发有限公司 | A kind of safety cap wearing supervisory systems |
| CN110269304A (en) * | 2018-03-15 | 2019-09-24 | 杭州海康威视数字技术股份有限公司 | Safety cap, wearing state detection method and device, computer readable storage medium |
| CN110150781A (en) * | 2018-11-29 | 2019-08-23 | 深圳来啊体育文化科技有限公司 | A kind of helmet wears monitoring device, the on-line monitoring helmet and safety monitoring system |
| CN110150785A (en) * | 2018-11-29 | 2019-08-23 | 深圳来啊体育文化科技有限公司 | A kind of intelligent helmet online monitoring system and method |
| CN209594834U (en) * | 2019-01-23 | 2019-11-08 | 四川超影科技有限公司 | It is a kind of that detection device is fallen based on intelligent safety helmet |
| CN109703658A (en) * | 2019-02-12 | 2019-05-03 | 陆宇超 | A kind of electric vehicle drives number of people helmet wearable system and its detection theft preventing method |
| CN109965436A (en) * | 2019-03-19 | 2019-07-05 | 深圳市中胄智能科技有限公司 | A kind of bicycle wearing LED intelligent helmet |
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20210284267A1 (en) * | 2020-03-12 | 2021-09-16 | Hyundai Motor Company | Personal mobility device and control method thereof |
| US11805837B2 (en) * | 2020-03-12 | 2023-11-07 | Hyundai Motor Company | Personal mobility device and control method thereof |
| CN111273450B (en) * | 2020-04-14 | 2020-12-08 | 湖南翰坤实业有限公司 | VR experience helmet and balance adjusting method thereof |
| CN111273450A (en) * | 2020-04-14 | 2020-06-12 | 湖南翰坤实业有限公司 | VR experience helmet and balance adjusting method thereof |
| CN111591379B (en) * | 2020-05-29 | 2022-03-15 | 天津特通科技有限公司 | Method, device and equipment for adjusting output power of shared electric bicycle based on wearing state of safety helmet and storage medium |
| CN111591379A (en) * | 2020-05-29 | 2020-08-28 | 天津特通科技有限公司 | Method, device and equipment for adjusting output power of shared electric bicycle based on wearing state of safety helmet and storage medium |
| CN113734927A (en) * | 2021-08-05 | 2021-12-03 | 安徽聚正科技有限公司 | Intelligent video monitoring system for elevator |
| CN113753163A (en) * | 2021-08-13 | 2021-12-07 | 宁波喵走科技有限公司 | Method, device, storage medium and device for safe driving of shared electric vehicle |
| CN113729343A (en) * | 2021-09-29 | 2021-12-03 | 王泰明 | Electric bicycle helmet wearing detection device and detection method |
| CN114063188A (en) * | 2021-10-14 | 2022-02-18 | 摩拜(北京)信息技术有限公司 | Method and device for acquiring wearing state of helmet and readable storage medium |
| CN114063188B (en) * | 2021-10-14 | 2023-12-26 | 摩拜(北京)信息技术有限公司 | Helmet wearing state acquisition method and device and readable storage medium |
| CN114371655A (en) * | 2021-12-14 | 2022-04-19 | 河南嘉晨智能控制股份有限公司 | Detection device and detection method for industrial vehicle driver safety helmet wearing based on wireless induction |
| CN116953945A (en) * | 2023-09-19 | 2023-10-27 | 北京极溯光学科技有限公司 | Near-eye display device and near-eye display system |
| CN116953945B (en) * | 2023-09-19 | 2023-12-08 | 北京极溯光学科技有限公司 | Near-eye display device and near-eye display system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110763282A (en) | Helmet, method for helmet monitoring, helmet detection system | |
| CN210841709U (en) | Helmet with a detachable head | |
| Kattukkaran et al. | Intelligent accident detection and alert system for emergency medical assistance | |
| US8907772B1 (en) | System and method for automatic unsafe driving determination and notification | |
| JP6488394B2 (en) | Wearable communication assembly and communication assembly | |
| US9892624B2 (en) | Portable device | |
| US10112621B2 (en) | Wearable device, vehicle for communicating with the wearable device | |
| EP3503056A1 (en) | Safety electronic device for presence detection inside a vehicle | |
| EP3039981A1 (en) | Bluetooth fall-alarm insole | |
| EP2774502A1 (en) | Shoe comprising sensors | |
| CN109887235B (en) | Construction operation district safety alarm device | |
| US8810412B2 (en) | Device for waking up a driver and an operator | |
| KR101767994B1 (en) | Vehicle brake lighting | |
| CN205241178U (en) | Fork truck safety control system | |
| CN105399008A (en) | Forklift safety control system and control method thereof | |
| WO2016127204A1 (en) | Automotive phone docking station for enhanced driving safety | |
| CN106218457A (en) | A kind of intelligent and safe seat system and alarm control method | |
| US20170072840A1 (en) | Helmet with turn signal indicators | |
| US20200139880A1 (en) | Improved signaling device | |
| CN108391885A (en) | A kind of device and method that detectable jockey goes on a journey safely | |
| CN112602981A (en) | Intelligent safety helmet and control method of intelligent safety helmet | |
| KR102448783B1 (en) | Smart safety helmet and safety helmet wearing managing apparatus of using thereof | |
| US11533956B2 (en) | Garment and alert system | |
| KR102134730B1 (en) | Auto reception system for vehicle accident | |
| Goswami et al. | Android based rush and drunk driver alerting system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200207 |
|
| RJ01 | Rejection of invention patent application after publication |