CN111121952B - Helmet impact detection method and system - Google Patents
Helmet impact detection method and system Download PDFInfo
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- CN111121952B CN111121952B CN201811281700.7A CN201811281700A CN111121952B CN 111121952 B CN111121952 B CN 111121952B CN 201811281700 A CN201811281700 A CN 201811281700A CN 111121952 B CN111121952 B CN 111121952B
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- G01H17/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups
Abstract
The invention discloses a helmet impact detection method, which comprises the following steps: monitoring a gravitational acceleration sensor of the helmet; when the gravity acceleration sensor is interrupted, reading the triaxial acceleration value of the gravity acceleration sensor and calculating the resultant acceleration according to the triaxial acceleration value; and judging whether the helmet is impacted according to the triaxial acceleration value and the resultant acceleration, and sending impact information to a server when the helmet is impacted. The invention can acquire acceleration data through the sensor after the impact occurs; then, impact detection is realized through an acceleration judgment algorithm according to the change characteristics of the acceleration value during impact; the information of the crash is then sent to the server so that the security personnel know that a crash has been sent by a certain helmet.
Description
Technical Field
The invention relates to a helmet impact detection method and system.
Background
The helmet is a protective tool for protecting the head and mainly comprises a helmet shell, a lining, a suspension system and the like. Due to the development of military affairs and the increasing diversification of modern work and life in peace period, people pay more and more attention to life safety, and the helmet is more and more widely used and can be roughly divided into three categories of military affairs, work and sports. However, currently, helmets used on the market have only a protective function and cannot detect an impact.
Disclosure of Invention
The invention aims to provide a helmet impact detection method and system.
The technical scheme adopted by the invention for solving the technical problems is as follows: provided is a helmet impact detection method, which is characterized by comprising the following steps:
monitoring a gravitational acceleration sensor of the helmet;
when the gravity acceleration sensor is interrupted, reading three-axis acceleration values of the gravity acceleration sensor and calculating a resultant acceleration according to the three-axis acceleration values;
and judging whether the helmet is impacted according to the triaxial acceleration value and the resultant acceleration, and sending impact information to a server when the helmet is impacted.
In the helmet impact detection method provided by the present invention, when the acceleration sensor is interrupted, the steps of reading the triaxial acceleration values of the acceleration sensor and calculating the resultant acceleration according to the triaxial acceleration values include:
judging whether the numerical value of the gravity acceleration sensor is larger than a preset threshold value or not, and if so, generating an interrupt signal;
reading the triaxial acceleration values in a memory according to the interrupt signal;
and calculating the resultant acceleration according to the triaxial acceleration values.
In the method for detecting the crash of the helmet provided by the invention, the three-axis acceleration values comprise an X-axis acceleration, a Y-axis acceleration and a Z-axis acceleration, whether the crash of the helmet occurs or not is judged according to the three-axis acceleration values and the resultant acceleration, and the step of sending crash information to a server when the crash occurs comprises the following steps:
respectively obtaining the impact detection results of the X-axis acceleration, the Y-axis acceleration, the Z-axis acceleration and the combined acceleration by utilizing a first gravitational acceleration judgment algorithm and a second gravitational acceleration judgment algorithm;
judging that the helmet is impacted when any one impact detection result meets the condition of impact;
and sending the impact information to a server.
In the helmet crash detection method provided by the present invention, the step of obtaining the crash detection results of the X-axis acceleration, the Y-axis acceleration, the Z-axis acceleration, and the combined acceleration by using a first gravitational acceleration determination algorithm includes:
respectively substituting the X-axis acceleration, the Y-axis acceleration, the Z-axis acceleration and the combined acceleration into an array A, and utilizing a first gravity acceleration judgment algorithm to perform impact detection judgment, wherein the first gravity acceleration judgment algorithm comprises the following steps:
traversing the array A, searching for a maximum wave peak value, taking a point A1 corresponding to the maximum wave peak value as a first wave peak and recording an array subscript a1 of A1;
sequentially searching a first wave trough A2, a second wave trough A3, a second wave trough A4, a … …, an nth wave crest A2n-1 and an nth wave trough A2n which appear after the first wave crest A1, and recording corresponding array subscripts A2, A3, a4, a5 … … A2n-1 and A2n respectively, wherein n is an integer greater than or equal to 3;
calculating a difference value N1 between the first peak and the first trough, a difference value N2 between the second peak and the first trough, a difference value N3 … … between the second peak and the second trough, and a difference value N2N-1 between the nth peak and the nth trough;
and judging whether N1, N2, N3 and … … N2N-1 are larger than a preset value or not, if so, judging whether the difference between adjacent array subscripts is smaller than the preset value of the array subscripts, and if so, judging that the parameters substituted into the array A are collided.
In the helmet crash detection method provided by the present invention, the step of obtaining the crash detection results of the X-axis acceleration, the Y-axis acceleration, the Z-axis acceleration, and the combined acceleration by using a second gravity acceleration determination algorithm includes:
respectively substituting the X-axis acceleration, the Y-axis acceleration, the Z-axis acceleration and the combined acceleration into an array B, and utilizing a second gravity acceleration judgment algorithm to perform impact detection judgment, wherein the second gravity acceleration judgment algorithm comprises the following steps:
traversing the array B, searching for a maximum valley value, taking a point B1 corresponding to the maximum valley value as a first valley and recording an array subscript B1 of B1;
sequentially searching a first peak B2, a second trough B3, a second peak B4, a … …, an nth trough B2n-1 and an nth peak B2n which appear after the first trough B1, and recording corresponding array subscripts B2, B3, B4, B5 … … B2n-1 and B2n, wherein n is an integer greater than or equal to 3;
calculating a difference M1 between the first trough and the first peak, a difference M2 between the second trough and the first peak, a difference M3 … … between the second trough and the second peak, and a difference M2n-1 between the nth trough and the nth peak;
and judging whether M1, M2, M3 and … … M2n-1 meet a second preset condition, if so, judging whether the difference between adjacent array subscripts is smaller than the preset value of the array subscripts, and if so, judging that the parameters substituted into the array B are collided.
Accordingly, the present invention also provides a helmet impact detection system, comprising:
the monitoring module is used for monitoring a gravity acceleration sensor of the helmet;
the acceleration acquisition module is used for reading three-axis acceleration values of the gravity acceleration sensor and calculating a resultant acceleration according to the three-axis acceleration values when the gravity acceleration sensor is interrupted;
and the judging module is used for judging whether the helmet is impacted according to the triaxial acceleration value and the resultant acceleration, and sending impact information to a server when the helmet is impacted.
In the helmet impact detection system provided by the present invention, the acceleration acquisition module includes:
the interrupt signal generating unit is used for judging whether the numerical value of the gravity acceleration sensor is larger than a preset threshold value or not, and if so, generating an interrupt signal;
the reading unit is used for reading the triaxial acceleration values in the memory according to the interrupt signals;
and the calculating unit is used for calculating the resultant acceleration according to the triaxial acceleration values.
In the helmet impact detection system provided by the present invention, the three-axis acceleration values include an X-axis acceleration, a Y-axis acceleration, and a Z-axis acceleration, and the determination module includes:
the computing unit is used for respectively obtaining the impact detection results of the X-axis acceleration, the Y-axis acceleration, the Z-axis acceleration and the combined acceleration by utilizing a first gravitational acceleration judgment algorithm and a second gravitational acceleration judgment algorithm;
the judging unit is used for judging that the helmet is impacted when any one impact detection result meets the condition of impact;
and the sending unit is used for sending the impact information to a server.
In the crash detection system of a helmet provided in the present invention, the step of obtaining the crash detection results of the X-axis acceleration, the Y-axis acceleration, the Z-axis acceleration, and the resultant acceleration by the calculation unit using a first gravitational acceleration determination algorithm includes:
respectively substituting the X-axis acceleration, the Y-axis acceleration, the Z-axis acceleration and the combined acceleration into an array A, and utilizing a first gravity acceleration judgment algorithm to perform impact detection judgment, wherein the first gravity acceleration judgment algorithm comprises the following steps:
traversing the array A, searching for a maximum wave peak value, taking a point A1 corresponding to the maximum wave peak value as a first wave peak and recording an array subscript a1 of A1;
sequentially searching a first wave trough A2, a second wave trough A3, a second wave trough A4, a … …, an nth wave crest A2n-1 and an nth wave trough A2n which appear after the first wave crest A1, and recording corresponding array subscripts A2, A3, a4, a5 … … A2n-1 and A2n respectively, wherein n is an integer greater than or equal to 3;
calculating a difference value N1 between the first peak and the first trough, a difference value N2 between the second peak and the first trough, a difference value N3 … … between the second peak and the second trough, and a difference value N2N-1 between the nth peak and the nth trough;
and judging whether N1, N2, N3 and … … N2N-1 are larger than a preset value or not, if so, judging whether the difference between adjacent array subscripts is smaller than the preset value of the array subscripts, and if so, judging that the parameters substituted into the array A are collided.
In the crash detection system of a helmet provided in the present invention, the step of obtaining the crash detection results of the X-axis acceleration, the Y-axis acceleration, the Z-axis acceleration, and the combined acceleration by the calculation unit using a second gravity acceleration determination algorithm includes:
respectively substituting the X-axis acceleration, the Y-axis acceleration, the Z-axis acceleration and the combined acceleration into an array B, and utilizing a second gravity acceleration judgment algorithm to perform impact detection judgment, wherein the second gravity acceleration judgment algorithm comprises the following steps:
traversing the array B, searching for a maximum valley value, taking a point B1 corresponding to the maximum valley value as a first valley and recording an array subscript B1 of B1;
sequentially searching a first peak B2, a second trough B3, a second peak B4, a … …, an nth trough B2n-1 and an nth peak B2n which appear after the first trough B1, and recording corresponding array subscripts B2, B3, B4, B5 … … B2n-1 and B2n, wherein n is an integer greater than or equal to 3;
calculating a difference M1 between the first trough and the first peak, a difference M2 between the second trough and the first peak, a difference M3 … … between the second trough and the second peak, and a difference M2n-1 between the nth trough and the nth peak;
and judging whether M1, M2, M3 and … … M2n-1 meet a second preset condition, if so, judging whether the difference between adjacent array subscripts is smaller than the preset value of the array subscripts, and if so, judging that the parameters substituted into the array B are collided.
The helmet impact detection method and system of the invention have the following beneficial effects: by the helmet impact detection method provided by the invention, acceleration data can be acquired by the sensor after impact occurs; then, impact detection is realized through an acceleration judgment algorithm according to the change characteristics of the acceleration value during impact; the information of the crash is then sent to the server so that the security personnel know that a crash has been sent by a certain helmet.
Drawings
Fig. 1 is a flowchart of a method for detecting a crash of a helmet according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a helmet impact detection system according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make those skilled in the art better understand the technical solution of the present invention, the technical solution in the embodiment of the present invention will be clearly and completely described below with reference to the drawings in the embodiment of the present invention, and it is obvious that the described embodiment is a part of the embodiment of the present invention, but not a whole embodiment. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "first," "second," "third," and "fourth," etc. in the description and claims of the invention and the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
The invention is further explained below with reference to the figures and examples.
Fig. 1 is a flowchart of a method for detecting a crash of a helmet according to an embodiment of the present invention; as shown in fig. 1, the method for detecting impact on a helmet provided by the present invention comprises the following steps:
s1, monitoring a gravity acceleration sensor of the helmet;
s2, when the gravity acceleration sensor is interrupted, reading the triaxial acceleration value of the gravity acceleration sensor and calculating the resultant acceleration according to the triaxial acceleration value;
s3, judging whether the helmet is impacted according to the triaxial acceleration value and the resultant acceleration, and sending impact information to a server when the helmet is impacted.
In the invention, an acceleration sensor with an FIFO function and capable of setting an interrupt threshold value is arranged on a helmet, firstly, a threshold value is set in the middle of a gravity acceleration sensor, an interrupt is generated when an impact occurs and the acceleration value is greater than the set threshold value, and after a period of time delay, the acceleration value in the FIFO is read into an array of an MCU. Thus, step S2 includes the following sub-steps:
judging whether the numerical value of the gravity acceleration sensor is larger than a preset threshold value or not, and if so, generating an interrupt signal;
reading the triaxial acceleration values in a memory according to the interrupt signal;
and calculating the resultant acceleration according to the triaxial acceleration values.
Further, the three-axis acceleration values comprise an X-axis acceleration, a Y-axis acceleration and a Z-axis acceleration, after the acceleration values in the FIFO are read into an array of the MCU, X, Y, Z accelerations on three axes are subjected to modulus taking and then are respectively put into an array, and then the following calculation algorithms are respectively applied to the X-axis acceleration, the Y-axis acceleration, the Z-axis acceleration and the resultant acceleration to judge whether the impact occurs:
1. and traversing the whole array, finding a maximum value, and recording the array subscript.
2. After this maximum, find a minimum next to the point and record the array index.
3. And searching a maximum value after the minimum value, recording the array subscript, and repeating for n times to obtain 2n values.
4. This is repeated 2n-1 times by subtracting the second value from the first of the 2n values and taking the absolute value, and then subtracting the third value from the second value and taking the absolute value.
5. It is determined whether the 2n-1 values are greater than the 2n-1 same or different thresholds and a record is made as to whether both are greater than the threshold.
6. It is determined whether the difference between the data indices is less than a threshold.
7. And (3) changing the maximum value searching in the step (1) into the minimum value searching, repeating the step (2) to the step (6) and applying the algorithm again, and considering that the collision occurs if one of the obtained 8 detection results conforms to the rule.
Thus, step S3 includes the following sub-steps:
respectively obtaining the impact detection results of the X-axis acceleration, the Y-axis acceleration, the Z-axis acceleration and the combined acceleration by utilizing a first gravitational acceleration judgment algorithm and a second gravitational acceleration judgment algorithm;
judging that the helmet is impacted when any one impact detection result meets the condition of impact;
and sending the impact information to a server.
Further, the step of obtaining the impact detection results of the X-axis acceleration, the Y-axis acceleration, the Z-axis acceleration, and the combined acceleration by using a first gravitational acceleration determination algorithm includes:
respectively substituting the X-axis acceleration, the Y-axis acceleration, the Z-axis acceleration and the combined acceleration into an array A, and utilizing a first gravity acceleration judgment algorithm to perform impact detection judgment, wherein the first gravity acceleration judgment algorithm comprises the following steps:
traversing the array A, searching for a maximum wave peak value, taking a point A1 corresponding to the maximum wave peak value as a first wave peak and recording an array subscript a1 of A1;
sequentially searching a first wave trough A2, a second wave trough A3, a second wave trough A4, a … …, an nth wave crest A2n-1 and an nth wave trough A2n which appear after the first wave crest A1, and recording corresponding array subscripts A2, A3, a4, a5 … … A2n-1 and A2n respectively, wherein n is an integer greater than or equal to 3;
calculating a difference value N1 between the first peak and the first trough, a difference value N2 between the second peak and the first trough, a difference value N3 … … between the second peak and the second trough, and a difference value N2N-1 between the nth peak and the nth trough;
and judging whether N1, N2, N3 and … … N2N-1 are larger than a preset value or not, if so, judging whether the difference between adjacent array subscripts is smaller than the preset value of the array subscripts, and if so, judging that the parameters substituted into the array A are collided.
It should be noted that, the first preset condition here means that N1, N2, N3, … … N2N-1 are greater than the same preset threshold or N1, N2, N3, … … N2N-1 are respectively greater than different preset thresholds, which is not limited by the invention.
Further, the step of obtaining the impact detection results of the X-axis acceleration, the Y-axis acceleration, the Z-axis acceleration, and the combined acceleration by using a second gravitational acceleration determination algorithm includes:
respectively substituting the X-axis acceleration, the Y-axis acceleration, the Z-axis acceleration and the combined acceleration into an array B, and utilizing a second gravity acceleration judgment algorithm to perform impact detection judgment, wherein the second gravity acceleration judgment algorithm comprises the following steps:
traversing the array B, searching for a maximum valley value, taking a point B1 corresponding to the maximum valley value as a first valley and recording an array subscript B1 of B1;
sequentially searching a first peak B2, a second trough B3, a second peak B4, a … …, an nth trough B2n-1 and an nth peak B2n which appear after the first trough B1, and recording corresponding array subscripts B2, B3, B4, B5 … … B2n-1 and B2n, wherein n is an integer greater than or equal to 3;
calculating a difference M1 between the first trough and the first peak, a difference M2 between the second trough and the first peak, a difference M3 … … between the second trough and the second peak, and a difference M2n-1 between the nth trough and the nth peak;
and judging whether M1, M2, M3 and … … M2n-1 meet a second preset condition, if so, judging whether the difference between adjacent array subscripts is smaller than the preset value of the array subscripts, and if so, judging that the parameters substituted into the array B are collided.
It should be noted that, the second preset condition here means that M1, M2, M3, … … M2n-1 are greater than the same preset threshold or M1, M2, M3, … … M2n-1 are respectively greater than different preset thresholds, which is not limited by the invention.
By the helmet impact detection method provided by the invention, acceleration data can be acquired by the sensor after impact occurs; then, impact detection is realized through an acceleration judgment algorithm according to the change characteristics of the acceleration value during impact; the information of the crash is then sent to the server so that the security personnel know that a crash has been sent by a certain helmet.
FIG. 2 is a schematic diagram of a helmet impact detection system provided by an embodiment of the present invention; as shown in fig. 2, the helmet impact detection system of the present invention includes:
a monitoring module 210 for monitoring a gravitational acceleration sensor of the helmet;
the acceleration acquisition module 220 is configured to, when the gravity acceleration sensor is interrupted, read a triaxial acceleration value of the gravity acceleration sensor and calculate a resultant acceleration according to the triaxial acceleration value;
and the judging module 230 is configured to judge whether the helmet is impacted according to the three-axis acceleration value and the resultant acceleration, and send impact information to a server when the helmet is impacted.
Specifically, the acceleration acquisition module includes:
the interrupt signal generating unit is used for judging whether the numerical value of the gravity acceleration sensor is larger than a preset threshold value or not, and if so, generating an interrupt signal;
the reading unit is used for reading the triaxial acceleration values in the memory according to the interrupt signals;
and the calculating unit is used for calculating the resultant acceleration according to the triaxial acceleration values.
Further, the triaxial acceleration value includes X axle acceleration, Y axle acceleration and Z axle acceleration, the judgement module includes:
the computing unit is used for respectively obtaining the impact detection results of the X-axis acceleration, the Y-axis acceleration, the Z-axis acceleration and the combined acceleration by utilizing a first gravitational acceleration judgment algorithm and a second gravitational acceleration judgment algorithm;
the judging unit is used for judging that the helmet is impacted when any one impact detection result meets the condition of impact;
and the sending unit is used for sending the impact information to a server.
Further, the step of obtaining, by the calculation unit, the impact detection result of the X-axis acceleration, the Y-axis acceleration, the Z-axis acceleration, and the combined acceleration by using a first gravitational acceleration determination algorithm includes:
respectively substituting the X-axis acceleration, the Y-axis acceleration, the Z-axis acceleration and the combined acceleration into an array A, and utilizing a first gravity acceleration judgment algorithm to perform impact detection judgment, wherein the first gravity acceleration judgment algorithm comprises the following steps:
traversing the array A, searching for a maximum wave peak value, taking a point A1 corresponding to the maximum wave peak value as a first wave peak and recording an array subscript a1 of A1;
sequentially searching a first wave trough A2, a second wave trough A3, a second wave trough A4, a … …, an nth wave crest A2n-1 and an nth wave trough A2n which appear after the first wave crest A1, and recording corresponding array subscripts A2, A3, a4, a5 … … A2n-1 and A2n respectively, wherein n is an integer greater than or equal to 3;
calculating a difference value N1 between the first peak and the first trough, a difference value N2 between the second peak and the first trough, a difference value N3 … … between the second peak and the second trough, and a difference value N2N-1 between the nth peak and the nth trough;
and judging whether N1, N2, N3 and … … N2N-1 are larger than a preset value or not, if so, judging whether the difference between adjacent array subscripts is smaller than the preset value of the array subscripts, and if so, judging that the parameters substituted into the array A are collided.
Further, the step of obtaining the impact detection results of the X-axis acceleration, the Y-axis acceleration, the Z-axis acceleration, and the combined acceleration by the calculation unit using a second gravitational acceleration determination algorithm includes:
respectively substituting the X-axis acceleration, the Y-axis acceleration, the Z-axis acceleration and the combined acceleration into an array B, and utilizing a second gravity acceleration judgment algorithm to perform impact detection judgment, wherein the second gravity acceleration judgment algorithm comprises the following steps:
traversing the array B, searching for a maximum valley value, taking a point B1 corresponding to the maximum valley value as a first valley and recording an array subscript B1 of B1;
sequentially searching a first peak B2, a second trough B3, a second peak B4, a … …, an nth trough B2n-1 and an nth peak B2n which appear after the first trough B1, and recording corresponding array subscripts B2, B3, B4, B5 … … B2n-1 and B2n, wherein n is an integer greater than or equal to 3;
calculating a difference M1 between the first trough and the first peak, a difference M2 between the second trough and the first peak, a difference M3 … … between the second trough and the second peak, and a difference M2n-1 between the nth trough and the nth peak;
and judging whether M1, M2, M3 and … … M2n-1 meet a second preset condition, if so, judging whether the difference between adjacent array subscripts is smaller than the preset value of the array subscripts, and if so, judging that the parameters substituted into the array B are collided.
With regard to the system in the above 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.
Referring to fig. 3, fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present invention, where the electronic device 300 may include:
a processor 310, a memory 320, a communication interface 330, and a bus 340;
the processor 310, the memory 320 and the communication interface 330 are connected via the bus 340 and perform communication with each other;
the memory 320 stores executable program code;
the processor 310 runs a program corresponding to the executable program code by reading the executable program code stored in the memory 320 for performing a helmet impact detection method; the helmet impact detection method comprises the following steps:
monitoring a gravitational acceleration sensor of the helmet;
when the gravity acceleration sensor is interrupted, reading three-axis acceleration values of the gravity acceleration sensor and calculating a resultant acceleration according to the three-axis acceleration values;
and judging whether the helmet is impacted according to the triaxial acceleration value and the resultant acceleration, and sending impact information to a server when the helmet is impacted.
Embodiments of the present invention further provide a storage medium, where the storage medium is used to store an application program, and the application program is used to execute, when running, a helmet impact detection method according to an embodiment of the present invention.
The embodiment of the invention also provides an application program, wherein the application program is used for executing the helmet impact detection method in the embodiment of the invention when the application program is run.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the invention. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required by the invention.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implementing, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.
The units described as separate parts may or may not be physically separate, and parts displayed 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 can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The above-mentioned embodiments are only used for illustrating the technical solution of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (4)
1. A helmet impact detection method, comprising the steps of:
monitoring a gravitational acceleration sensor of the helmet;
when the gravity acceleration sensor is interrupted, reading three-axis acceleration values of the gravity acceleration sensor and calculating a resultant acceleration according to the three-axis acceleration values; the three-axis acceleration values comprise X-axis acceleration, Y-axis acceleration and Z-axis acceleration;
respectively obtaining the impact detection results of the X-axis acceleration, the Y-axis acceleration, the Z-axis acceleration and the combined acceleration by utilizing a first gravitational acceleration judgment algorithm and a second gravitational acceleration judgment algorithm;
judging that the helmet is impacted when any one impact detection result meets the condition of impact; sending the impact information to a server;
the step of obtaining the impact detection results of the X-axis acceleration, the Y-axis acceleration, the Z-axis acceleration, and the combined acceleration by using a first gravitational acceleration determination algorithm includes:
respectively substituting the X-axis acceleration, the Y-axis acceleration, the Z-axis acceleration and the combined acceleration into an array A, and utilizing a first gravity acceleration judgment algorithm to perform impact detection judgment, wherein the first gravity acceleration judgment algorithm comprises the following steps:
traversing the array A, searching for a maximum wave peak value, taking a point A1 corresponding to the maximum wave peak value as a first wave peak and recording an array subscript a1 of A1;
sequentially searching a first wave trough A2, a second wave trough A3, a second wave trough A4, a … …, an nth wave crest A2n-1 and an nth wave trough A2n which appear after the first wave crest A1, and recording corresponding array subscripts A2, A3, a4, a5 … … A2n-1 and A2n respectively, wherein n is an integer greater than or equal to 3;
calculating a difference value N1 between the first peak and the first trough, a difference value N2 between the second peak and the first trough, a difference value N3 … … between the second peak and the second trough, and a difference value N2N-1 between the nth peak and the nth trough;
judging whether N1, N2, N3 and … … N2N-1 are larger than a preset threshold value or not, if so, judging whether the difference between adjacent array subscripts is smaller than the preset value of the array subscripts, if so, judging that the parameters substituted into the array A collide, wherein the first preset condition means that N1, N2, N3 and … … N2N-1 are larger than the same preset threshold value or N1, N2, N3 and … … N2N-1 are respectively larger than different preset threshold values;
the step of obtaining the impact detection results of the X-axis acceleration, the Y-axis acceleration, the Z-axis acceleration, and the combined acceleration by using a second gravitational acceleration determination algorithm includes:
respectively substituting the X-axis acceleration, the Y-axis acceleration, the Z-axis acceleration and the combined acceleration into an array B, and utilizing a second gravity acceleration judgment algorithm to perform impact detection judgment, wherein the second gravity acceleration judgment algorithm comprises the following steps:
traversing the array B, searching for a maximum valley value, taking a point B1 corresponding to the maximum valley value as a first valley and recording an array subscript B1 of B1;
sequentially searching a first peak B2, a second trough B3, a second peak B4, a … …, an nth trough B2n-1 and an nth peak B2n which appear after the first trough B1, and recording corresponding array subscripts B2, B3, B4, B5 … … B2n-1 and B2n, wherein n is an integer greater than or equal to 3;
calculating a difference M1 between the first trough and the first peak, a difference M2 between the second trough and the first peak, a difference M3 … … between the second trough and the second peak, and a difference M2n-1 between the nth trough and the nth peak;
judging whether M1, M2, M3 and … … M2n-1 meet a second preset condition, if so, judging whether the difference between adjacent array subscripts is smaller than the array subscript preset value, if so, judging that the parameters substituted into the array B collide, wherein the second preset condition means that M1, M2, M3 and … … M2n-1 are larger than the same preset threshold or that M1, M2, M3 and … … M2n-1 are respectively larger than different preset thresholds.
2. The helmet impact detection method of claim 1, wherein the step of reading three-axis acceleration values of the gravitational acceleration sensor and calculating a resultant acceleration from the three-axis acceleration values upon an interruption of the gravitational acceleration sensor comprises:
judging whether the numerical value of the gravity acceleration sensor is larger than a preset threshold value or not, and if so, generating an interrupt signal;
reading the triaxial acceleration values in a memory according to the interrupt signal;
and calculating the resultant acceleration according to the triaxial acceleration values.
3. A helmet impact detection system, comprising:
the monitoring module is used for monitoring a gravity acceleration sensor of the helmet;
the acceleration acquisition module is used for reading three-axis acceleration values of the gravity acceleration sensor and calculating a resultant acceleration according to the three-axis acceleration values when the gravity acceleration sensor is interrupted;
the judging module is used for judging whether the helmet is impacted according to the triaxial acceleration value and the resultant acceleration, and sending impact information to a server when the helmet is impacted; the triaxial acceleration value includes X axle acceleration, Y axle acceleration and Z axle acceleration, the judging module includes:
the computing unit is used for respectively obtaining the impact detection results of the X-axis acceleration, the Y-axis acceleration, the Z-axis acceleration and the combined acceleration by utilizing a first gravitational acceleration judgment algorithm and a second gravitational acceleration judgment algorithm;
the judging unit is used for judging that the helmet is impacted when any one impact detection result meets the condition of impact;
a sending unit, configured to send the impact information to a server;
the calculation unit obtains the impact detection results of the X-axis acceleration, the Y-axis acceleration, the Z-axis acceleration and the combined acceleration by using a first gravitational acceleration judgment algorithm, and the method comprises the following steps:
respectively substituting the X-axis acceleration, the Y-axis acceleration, the Z-axis acceleration and the combined acceleration into an array A, and utilizing a first gravity acceleration judgment algorithm to perform impact detection judgment, wherein the first gravity acceleration judgment algorithm comprises the following steps:
traversing the array A, searching for a maximum wave peak value, taking a point A1 corresponding to the maximum wave peak value as a first wave peak and recording an array subscript a1 of A1;
sequentially searching a first wave trough A2, a second wave trough A3, a second wave trough A4, a … …, an nth wave crest A2n-1 and an nth wave trough A2n which appear after the first wave crest A1, and recording corresponding array subscripts A2, A3, a4, a5 … … A2n-1 and A2n respectively, wherein n is an integer greater than or equal to 3;
calculating a difference value N1 between the first peak and the first trough, a difference value N2 between the second peak and the first trough, a difference value N3 … … between the second peak and the second trough, and a difference value N2N-1 between the nth peak and the nth trough;
judging whether N1, N2, N3 and … … N2N-1 are larger than a preset threshold value or not, if so, judging whether the difference between adjacent array subscripts is smaller than the preset value of the array subscripts, if so, judging that the parameters substituted into the array A collide, wherein the first preset condition means that N1, N2, N3 and … … N2N-1 are larger than the same preset threshold value or N1, N2, N3 and … … N2N-1 are respectively larger than different preset threshold values;
the calculation unit obtains the impact detection results of the X-axis acceleration, the Y-axis acceleration, the Z-axis acceleration and the combined acceleration by using a second gravity acceleration judgment algorithm, and the method comprises the following steps:
respectively substituting the X-axis acceleration, the Y-axis acceleration, the Z-axis acceleration and the combined acceleration into an array B, and utilizing a second gravity acceleration judgment algorithm to perform impact detection judgment, wherein the second gravity acceleration judgment algorithm comprises the following steps:
traversing the array B, searching for a maximum valley value, taking a point B1 corresponding to the maximum valley value as a first valley and recording an array subscript B1 of B1;
sequentially searching a first peak B2, a second trough B3, a second peak B4, a … …, an nth trough B2n-1 and an nth peak B2n which appear after the first trough B1, and recording corresponding array subscripts B2, B3, B4, B5 … … B2n-1 and B2n, wherein n is an integer greater than or equal to 3;
calculating a difference M1 between the first trough and the first peak, a difference M2 between the second trough and the first peak, a difference M3 … … between the second trough and the second peak, and a difference M2n-1 between the nth trough and the nth peak;
judging whether M1, M2, M3 and … … M2n-1 meet a second preset condition, if so, judging whether the difference between adjacent array subscripts is smaller than the array subscript preset value, if so, judging that the parameters substituted into the array B collide, wherein the second preset condition means that M1, M2, M3 and … … M2n-1 are larger than the same preset threshold or that M1, M2, M3 and … … M2n-1 are respectively larger than different preset thresholds.
4. The helmet impact detection system of claim 3, wherein the acceleration acquisition module comprises:
the interrupt signal generating unit is used for judging whether the numerical value of the gravity acceleration sensor is larger than a preset threshold value or not, and if so, generating an interrupt signal;
the reading unit is used for reading the triaxial acceleration values in the memory according to the interrupt signals;
and the calculating unit is used for calculating the resultant acceleration according to the triaxial acceleration values.
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