CN108833672B

CN108833672B - Fall protection method and related product

Info

Publication number: CN108833672B
Application number: CN201810404092.8A
Authority: CN
Inventors: 郑灿杰; 张强
Original assignee: Guangdong Oppo Mobile Telecommunications Corp Ltd
Current assignee: Guangdong Oppo Mobile Telecommunications Corp Ltd
Priority date: 2018-04-28
Filing date: 2018-04-28
Publication date: 2020-07-31
Anticipated expiration: 2038-04-28
Also published as: CN108833672A

Abstract

The embodiment of the application discloses a fall protection method and a related product, wherein the method is applied to an electronic device and comprises the following steps: acquiring a plurality of falling data, dividing the falling data into a plurality of regions, inputting the falling data of each region into a preset neural network model corresponding to each region, executing forward operation to obtain an output result, and determining the unintentional falling data of each region according to the output result of each region; determining a fall impairment degree from the unintentional fall data; and acquiring the mass of the n electronic devices of the unintentional falling data, and determining the target mass according to the falling damage degree. The embodiment of the application is beneficial to reducing the occurrence of the unintentional falling event.

Description

Fall protection method and related product

Technical Field

The application relates to the technical field of electronics, in particular to a fall protection method and a related product.

Background

In the prior art, a mobile terminal (such as a mobile phone, a tablet computer, etc.) has become a preferred electronic device for a user and has the highest use frequency, for the mobile terminal, the screen is easy to break, which is a problem that manufacturers or users cannot avoid, and after the screen is broken, the remaining value of the electronic device is greatly reduced, because the price for repairing and changing the screen of most manufacturers almost exceeds the remaining value of the terminal. And 2.5D glass is popular in the industry at present as a screen, so that the screen is more easily damaged by falling and broken, and a great amount of research and development cost is spent by each mainstream manufacturer to research and develop the falling resistance of the whole machine.

The existing drop data processing mode is complex and has no pertinence, so that effective theoretical support cannot be provided for later protection drop, and the user experience is influenced.

Disclosure of Invention

The embodiment of the application provides a fall protection method and a related product, and the fall protection method and the related product are used for obtaining the analysis result of fall data of each area so as to formulate a fall protection strategy of each area according to the analysis result.

In a first aspect, an embodiment of the present application provides a fall protection method, including:

acquiring a plurality of falling data, dividing the falling data into a plurality of regions, inputting the falling data of each region into a preset neural network model corresponding to each region, executing forward operation to obtain an output result, and determining the unintentional falling data of each region according to the output result of each region;

determining a fall impairment degree from the unintentional fall data;

and acquiring the mass of the n electronic devices of the unintentional falling data, and determining the target mass according to the falling damage degree.

In a second aspect, an embodiment of the present application provides a fall protection electronic device, including:

the communication module is used for receiving a plurality of fall data;

the AP is used for dividing the falling data into a plurality of areas, inputting the falling data of each area into a preset neural network model corresponding to each area to execute forward operation to obtain an output result, and determining the unintentional falling data of each area according to the output result of each area;

the AP is used for determining the falling injury degree according to the unintentional falling data;

the communication module is used for acquiring the quality of the n electronic devices of the unintentional falling data and determining the target quality according to the falling damage degree.

In a third aspect, embodiments of the present application provide an electronic device, comprising one or more processors, one or more memories, one or more transceivers, and one or more programs stored in the memories and configured to be executed by the one or more processors, the programs including instructions for performing the steps in the method according to the first aspect.

In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium storing a computer program for electronic data exchange, wherein the computer program causes a computer to execute the method according to the first aspect.

In a fifth aspect, embodiments of the present application provide a computer program product comprising a non-transitory computer-readable storage medium storing a computer program, the computer being operable to cause a computer to perform the method according to the first aspect.

The embodiment of the application has the following beneficial effects:

it can be seen that, in the embodiment of the application, a plurality of falling data are received at first, then the falling data are divided into a plurality of regions, the falling data of each set region are processed through artificial intelligence, the unintentional falling data of each region are determined, the falling damage degree is determined according to the unintentional falling data, the relevance between the falling damage degree and the quality of an electronic device is analyzed, the electronic device with proper quality is determined according to the relevance, data reference is provided for the design of the subsequent electronic device, the unintentional falling probability is reduced, and the user experience is improved.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

FIG. 1A is a schematic diagram of an electronic device;

FIG. 1B is a schematic diagram of another electronic device;

fig. 2 is a schematic flow chart of a fall protection method provided in an embodiment of the present application;

fig. 2A is a schematic view of a fall position provided by an embodiment of the present application;

fig. 2B is a schematic diagram of determining a fall injury level according to an embodiment of the present application;

fig. 3 is a schematic flow chart of another fall protection method provided in the embodiments of the present application;

fig. 4 is a schematic structural diagram of an electronic device disclosed in an embodiment of the present application;

FIG. 5 is a block diagram illustrating functional units of an electronic device according to an embodiment of the present disclosure;

fig. 6 is a schematic structural diagram of a smart phone disclosed in an embodiment of the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. 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 application.

The terms "first," "second," "third," and "fourth," etc. in the description and claims of this application and in the accompanying 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.

Reference herein to "an embodiment" means that a particular feature, result, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.

The electronic device in the present application may include a smart phone (e.g., an Android phone, an iOS phone, a windows phone, etc.), a tablet computer, a palm computer, a notebook computer, a Mobile internet device (MID, Mobile internet devices), or a wearable device, and the electronic devices are merely examples, but not exhaustive, and include but are not limited to the electronic devices, and for convenience of description, the electronic devices are referred to as User Equipment (UE) in the following embodiments. Of course, in practical applications, the user equipment is not limited to the above presentation form, and may also include: intelligent vehicle-mounted terminal, computer equipment and the like.

The electronic device mentioned in the embodiment of the present application may be the terminal, or may also be a server and a network side device.

The falling process is only considered once, namely the time from the falling to the moment when the first speed is zero, and the second falling caused by rebound after falling is not considered.

Referring to fig. 1A, fig. 1A is a schematic structural diagram of an electronic device 100 provided in the present application, where the electronic device 100 includes: the touch screen display device comprises a shell 110, a circuit board 120, a battery 130, a cover plate 140, a touch display screen 150, at least one distance Sensor 160, a speed Sensor 170 and a Gravity Sensor 180 (G-Sensor for short), wherein the circuit board 120, the battery 130 and the cover plate 140 are arranged on the shell 110, and the circuit board 120 is further provided with a circuit connected with the touch display screen 150; the circuit board 120 may further include: the application processor AP 190.

The touch Display screen may be a Thin Film Transistor liquid Crystal Display (Thin Film Transistor-L liquid Crystal Display, TFT-L CD), a light Emitting Diode (L light Emitting Diode, L ED) Display screen, an Organic light Emitting Diode (Organic L light-Emitting Diode, O L ED) Display screen, or the like.

The distance sensor 160 is used for determining an initial falling height and detecting a falling position, the electronic device is provided with a plurality of distance sensors, the contact position of the electronic device and an impact object when the electronic device falls can be determined through the change of the distance, generally speaking, the distance sensors and the gyroscope 182 work in a cooperative mode, the falling angle is judged through the gyroscope, and the sensor at the corresponding position is started according to the falling angle to detect the change of the distance.

And the speed sensor 170 is used for detecting the speed of the electronic device in the falling process and acquiring a speed value.

The gravity sensor 180 is used for detecting the direction and the magnitude of the acceleration, and is equivalent to detecting the falling state of the electronic device. The function of the gravity sensor is relatively simple to understand, and mainly senses the change of the acceleration force, such as various movement changes of shaking, falling, rising, falling and the like, which can be converted into an electric signal by the gravity sensor, and then the acceleration value of the electronic device can be determined by calculation and analysis of the application processor AP 190.

Optionally, the electronic device may further include: the geomagnetic sensor and the gyroscope are respectively connected with the application processor AP 190. On the electronic device, the gravity sensor not only works alone, but also can work together with the geomagnetic sensor 181 and the gyroscope 182 to provide more accurate and comprehensive action sensing capability.

The gyroscope 182 is also called an angular velocity sensor, and is used to measure a rotational angular velocity during yaw and tilt. In an electronic device, the gravity sensor 180 can only detect axial linear motion, cannot measure or reconstruct complete 3D motion, and cannot detect rotational motion. However, the gyroscope 182 can perform good measurement on the rotation and deflection actions, detect the falling angle in real time, detect the falling posture of the electronic device, and determine the contact position of the electronic device and the colliding object.

Referring to fig. 1B, as shown in fig. 1B, fig. 1B is a schematic structural diagram of an electronic device 10 provided in the present application, where the electronic device 10 may include a control circuit, and the control circuit may include a storage and processing circuit 30. The storage and processing circuitry 30 may be a memory, such as a hard drive memory, a non-volatile memory (e.g., flash memory or other electronically programmable read-only memory used to form a solid state drive, etc.), a volatile memory (e.g., static or dynamic random access memory, etc.), etc., and the embodiments of the present application are not limited thereto. The processing circuitry in the storage and processing circuitry 30 may be used to control the operation of the electronic device 10. The processing circuitry may be implemented based on one or more microprocessors, microcontrollers, digital signal processors, baseband processors, power management units, audio codec chips, application specific integrated circuits, display driver integrated circuits, and the like.

The storage and processing circuitry 30 may be used to run software in the electronic device 10, such as an Internet browsing application, a Voice Over Internet Protocol (VOIP) telephone call application, an email application, a media playing application, operating system functions, and so forth. Such software may be used to perform control operations such as, for example, camera-based image capture, ambient light measurement based on an ambient light sensor, proximity sensor measurement based on a proximity sensor, information display functionality based on status indicators such as status indicator lights of light emitting diodes, touch event detection based on a touch sensor, functionality associated with displaying information on multiple (e.g., layered) displays, operations associated with performing wireless communication functions, operations associated with collecting and generating audio signals, control operations associated with collecting and processing button press event data, and other functions in the electronic device 10, and the like, without limitation of the embodiments of the present application.

The electronic device 10 may also include input-output circuitry 42. The input-output circuitry 42 may be used to enable the electronic apparatus 10 to enable input and output of data, i.e., to allow the electronic apparatus 10 to receive data from external devices and also to allow the electronic apparatus 10 to output data from the electronic apparatus 10 to external devices. The input-output circuitry 42 may further include the sensor 32. The sensors 32 may include ambient light sensors, optical and capacitive based proximity sensors, touch sensors (e.g., optical based touch sensors and/or capacitive touch sensors, where the touch sensors may be part of a touch display screen or may be used independently as a touch sensor structure), acceleration sensors, and other sensors, among others.

Input-output circuitry 42 may also include one or more displays, such as display 14. The display 14 may include one or a combination of liquid crystal displays, organic light emitting diode displays, electronic ink displays, plasma displays, displays using other display technologies. The display 14 may include an array of touch sensors (i.e., the display 14 may be a touch display screen). The touch sensor may be a capacitive touch sensor formed by a transparent touch sensor electrode (e.g., an Indium Tin Oxide (ITO) electrode) array, or may be a touch sensor formed using other touch technologies, such as acoustic wave touch, pressure sensitive touch, resistive touch, optical touch, and the like, and the embodiments of the present application are not limited thereto.

The electronic device 10 may also include an audio component 36. The audio component 36 may be used to provide audio input and output functionality for the electronic device 10. The audio components 36 in the electronic device 10 may include a speaker, microphone, buzzer, tone generator, and other components for generating and detecting sound.

The communication circuit 38 may be used to provide the electronic device 10 with the ability to communicate with external devices. The communication circuit 38 may include analog and digital input-output interface circuits, and wireless communication circuits based on radio frequency signals and/or optical signals. The wireless communication circuitry in communication circuitry 38 may include radio-frequency transceiver circuitry, power amplifier circuitry, low noise amplifiers, switches, filters, and antennas. For example, the wireless Communication circuitry in Communication circuitry 38 may include circuitry to support Near Field Communication (NFC) by transmitting and receiving Near Field coupled electromagnetic signals. For example, the communication circuitry 38 may include a near field communication antenna and a near field communication transceiver. The communications circuitry 38 may also include a cellular telephone transceiver and antenna, a wireless local area network transceiver circuit and antenna, and the like.

The electronic device 10 may further include a battery, power management circuitry, and other input-output units 40. The input-output unit 40 may include buttons, joysticks, click wheels, scroll wheels, touch pads, keypads, keyboards, cameras, light emitting diodes and other status indicators, etc.

A user may enter commands through input-output circuitry 42 to control the operation of electronic device 10, and may use output data of input-output circuitry 42 to enable receipt of status information and other outputs from electronic device 10.

Referring to fig. 2, fig. 2 is a method for protecting from falling, which is provided in an embodiment of the present application and is applied to an electronic device, and the method includes:

step S201, obtaining a plurality of falling data, dividing the falling data into a plurality of areas, inputting the falling data of each area into a preset neural network model corresponding to each area, executing forward operation to obtain an output result, and determining the unintentional falling data of each area according to the output result of each area.

The falling data of the electronic devices falling in all areas are the falling data of the electronic devices falling in all areas, the falling data transmitted by other electronic devices are received by the electronic devices through the communication module, and when the falling data are subjected to big data analysis, if the falling data are subjected to integral analysis, the falling characteristics of each area falling cannot be analyzed, and the falling characteristics are not targeted. Therefore, the falling data can be divided into a plurality of areas, the falling data of each area is subjected to big data analysis, the falling characteristics of each area are obtained, the drop protection of each area is targeted, and the falling probability is reduced; the criteria for dividing the regions may be divided according to the location information of the electronic device transmitting the drop data. For example, the division is performed according to longitude and latitude, provinces or altitude, specifically, when the division is performed according to the provinces, the same province region can be divided into a set region, the fall data of the province region is independently processed, the fall characteristics of each province are determined, the association between the fall incident and the type of the electronic device is determined, and the electronic device of each type is specifically protected.

Optionally, the falling height, falling speed, falling position and falling acceleration are different based on unintentional falling and intentional falling, so that the characteristic values of falling data of two falling reasons are different, and therefore, according to the function of artificial intelligence classification, multiple groups of falling angles, falling speeds and falling acceleration data in the falling data of each region form an input data matrix, the input data matrix is input to a preset neural network model corresponding to each region to execute multilayer forward operation to obtain an operation result, a threshold interval corresponding to the operation result of each region is obtained, and the data falling into the unintentional falling interval is determined to be unintentional falling data.

Optionally, the specific method of forming the multiple groups of fall angle, fall speed, and fall acceleration data in each fall data into the input data matrix may include: the values of the falling angle, the falling height and the falling speed which are smaller than the respective corresponding preset threshold values are set to be zero, and the principle is as follows: when the falling process is about to end, whether the falling process is intentional falling or unintentional falling, the falling angle, the falling speed and the falling acceleration at the moment are close to zero, the numerical value at the moment is meaningless for judging the intentional falling or the unintentional falling, the falling data at the moment are generally floating point numbers (and more in precision), when the floating point numbers are input into the neural network model, format conversion needs to be carried out firstly, the whole calculation process is more complicated, so that values smaller than respective preset threshold values are uniformly taken to be zero, the calculation process is simplified, and the calculation speed is improved.

Further, after preprocessing and zeroing multiple groups of falling data of each region, forming an initial input data matrix, obtaining the size of an input data matrix set by a preset neural network model of each region, and adding data to the input data matrix if the size of the initial input data matrix is not matched with the size of the set input data matrix, wherein the rule for adding data specifically can be adding zeros in an interlaced manner or adding average values in an interlaced manner, wherein the operation speed of the neural network can be improved by a strategy of adding zeros in an interlaced manner, and the accuracy of an operation result can be improved by a strategy of adding average values in an interlaced manner.

The preset threshold value of the falling angle can be specifically 5 degrees, 7 degrees, 10 degrees or other values; the preset threshold value of the falling speed can be 0.1m/s, 0.15m/s, 0.2m/s or other values; the preset threshold value of the falling acceleration can be specifically 0.1m/s²、0.15m/s²、0.2m/s²Or other values.

And step S202, determining the falling injury degree according to the unintentional falling data.

The damage degree is generally the damage degree of hardware after the electronic device falls, and the damage degree in this application takes the damage degree of the screen as an example for specific description, but does not limit the damage degree of other parts. The damage degree in the present application indicates the magnitude of the damage degree in a digital form, the representative numbers of the damage degree from small to large are 1, 2, 3, 4, 5 or other values, the first threshold value may be set to be 3, 4, 5 or other values, and the specific value needs to be determined according to a drop test.

Optionally, the manner of determining the screen damage degree may include: after falling, the electronic device evaluates the damage degree of the electronic device according to the damage proportion of the screen; specifically, a first percentage of the abnormal display area and the display screen after falling is determined to obtain a first damage ratio, a second percentage of the abnormal touch area and the touch screen is determined to obtain a second damage ratio, and the damage degree of the screen of the electronic device is determined according to the weight coefficient of the abnormal display area and the abnormal touch display area, the first damage ratio and the second damage ratio. The specific method for determining the damage ratio comprises the following steps: the electronic device periodically scans the display screen to obtain an abnormal display area, obtains the area of the abnormal display area, scans the touch screen to obtain an abnormal touch area, obtains the area of the abnormal touch area, and determines a first damage ratio and a second damage ratio according to the total area of the screen.

For example, a damage proportion of 0-10% corresponds to a damage level 1, a damage proportion of 10% -20% corresponds to a damage level 2, a damage proportion of 20-40% corresponds to a damage level 3, and so on.

Optionally, the specific method for determining the falling damage degree of the screen according to the unintentional falling data may further include: acquiring a falling angle in the unintentional falling data, and determining a stress point of a screen of the electronic device according to the falling angle; acquiring buffering time and landing speed in the unintentional falling data to determine impact force applied to the electronic device; determining a stress radius corresponding to the touch display screen according to the impact force; estimating the range of the damaged area of the touch display screen according to the stress point and the stress radius; and determining the damage ratio of the screen according to the total area of the screen.

Further, particular methods of determining a fall impairment level from unintentional fall data can include: extracting initial falling height h, collision buffering time length T, collision position and maximum speed moment T of unintentional falling data₁The first time when the velocity is zero₂A plurality of fall speed values corresponding to a plurality of moments within a collision buffering duration;drawing a scatter diagram of the time and the falling speed in the buffering time period according to a plurality of falling speed values corresponding to the plurality of moments; fitting a functional relation v (t) of the falling speed in the buffering process according to the scatter diagram and the least square principle, and determining the movement displacement in the collision buffering process according to the definite integral

The average impact force of the buffering process can be determined according to the energy conservation principle in the falling process

And determining the falling damage degree of the unintentional falling data according to a pre-stored mapping relation table of the falling position impact force and the falling damage degree.

For example, as shown in fig. 2A and 2B, fig. 2A shows a collision position, wherein the collision position may include: the falling damage degree determination device comprises a vertex angle, a side face, a screen and a rear shell, wherein the vertex angle comprises four vertex angles, and the four vertex angles are the same type of collision positions and are considered uniformly when the falling damage degree is determined; the side surfaces include a left side surface and a right side surface. FIG. 2A shows a top corner of the electronic device in FIG. 2A colliding with the ground, such as an initial drop height of 0.05m, such as the electronic device falling from 0.05m, such as v₁＝1m/s，t₁＝1s，t₂1.05s, m 120g, as fitted by least squares₁To t₂The change of speed between is a quadratic function, and the function relation v (t) is t²22.05t +22.05, so the buffer distance s is 0.0249 and 0.025, and F is 2.4N; as shown in fig. 2B, it is found from the map table stored in advance that the level of the drop damage degree is level 2 when the impact force F is 2.4N and the collision position is the vertex angle of the electronic device.

And S203, acquiring the mass of the n electronic devices of the unintentional falling data, and determining the target mass according to the falling damage degree.

The n electronic devices are used for transmitting the unintentional falling data, and when a falling event occurs, the n electronic devices upload the falling data together with the quality of the electronic devices, so that the quality of the electronic devices can be synchronously acquired when the falling data is acquired.

Optionally, the reason for determining the target quality is: determining a threshold value by analyzing the unintentional drop data, the threshold value being determined as a target quality; the method for determining the target quality comprises the following steps: determining w masses of the n electronic devices, determining w average damage degrees corresponding to the w masses, obtaining p average damage degrees which are greater than a first threshold value in the w average damage degrees, determining p masses corresponding to the p average damage degrees, and determining the minimum value of the p masses as a target mass, wherein p, w and n are integers which are greater than or equal to p and w is greater than or equal to n.

For example, in the case that the electronic device is a mobile phone, the mass of the mobile phone is generally 110g to 160g, where n is 20, and w is 6, the mass of the 20 electronic devices includes six mass types 110g, 120g, 130g, 140g, 150g, and 160g, and the number of the electronic devices corresponding to each mass type is 2, 3, 5, 6, 2, and 2, respectively, the transmission unintentional drop data of two electronic devices with the mass of 110g is obtained, two drop damage degree grades corresponding to the two unintentional drop data are determined, an average damage degree grade is determined, the mass with the average damage degree grade greater than a first threshold value is determined, and if the average damage degree corresponding to 140g is just greater than the first threshold value, 140g is determined as the target mass.

Optionally, the method further includes: and pushing the target mass to a user, and prompting the user that the mass of the electronic device is greater than the target mass and is easy to damage when falling.

Optionally, the method further includes: the method comprises the steps of obtaining the sizes of n electronic devices, obtaining the number of unintentional falling data corresponding to each size, judging the unintentional falling probability corresponding to each size when the electronic devices fall unintentionally according to the number of the unintentional falling data corresponding to each size, determining the first size with the highest unintentional falling probability, pushing the first size to a user, and prompting the user that the first size is the size easy to fall.

Optionally, the method further includes: and feeding back the target quality and the first dimension to a manufacturer to provide a data reference for the design of a subsequent electronic device.

It can be seen that in the embodiment of the application, a plurality of falling data are firstly acquired, then the falling data are divided into a plurality of set areas, the falling data of each set area are processed through artificial intelligence, the unintentional falling data are distinguished, the falling damage degree is determined according to the falling data in the unintentional falling data, the target quality is acquired, the target quality is pushed to a user, and the unintentional falling probability is reduced; and feeding back the target quality to a manufacturer, providing data reference for the manufacturer to subsequently design the quality of the electronic device, and reducing the probability of unintentional falling through design of adjusting the quality.

Referring to fig. 3, fig. 3 is a method for protecting from falling, which is provided in an embodiment of the present application and is applied to an electronic device, and the method includes:

step S301, acquiring a plurality of fall data, dividing the fall data into a plurality of areas, and determining unintentional fall data of each area.

And S302, acquiring the average service life in the unintentional falling data.

Specifically, the average usage duration is the average usage duration of the electronic device in one day for the user.

Optionally, the method for determining the average usage duration includes: the electronic device detects the extinguishment of the touch display screen and determines the screen-on duration of one day as the use duration of the day; or detecting the initial electric quantity and the initial electric quantity of a day, and presuming the one-day use time of the user through the consumption of the electric quantity and the power consumption of the electronic device. Through big data analysis, the total using time of a user for multiple days is obtained, the average using time of the user for one day is determined, and when the falling data is reported, the average using time of the user is reported together.

And step S303, determining the number of the unintentional falling data falling into a plurality of set time periods according to the average use time.

Optionally, the multiple set time periods may be specifically 0-1h, 1-3h, 3-5h, or other values.

And step S304, determining a first set time period corresponding to the maximum number of the unintentional falling data.

The method comprises the steps of acquiring average use time in the unintentional falling data, determining the number of the unintentional falling data in each set time period, determining the unintentional falling probability of each set time period under the condition of unintentional falling according to the number of the unintentional falling data, and determining a first set time period corresponding to the maximum value of the unintentional falling probability.

Step S305, the first set time period is pushed to a user, and when the service life of the electronic device is longer than or equal to the first set time period, the electronic device is prompted to fall easily.

Optionally, the method further includes the step that the electronic device detects the current use duration of the user, and if the current use duration is greater than or equal to the first set time period, the fall protection is turned on.

It can be seen that, in the embodiment of the application, a plurality of falling data are obtained first, then the falling data are divided into a plurality of setting areas, falling data of each setting area are processed through artificial intelligence, unintentional falling data are distinguished, average use duration in the unintentional falling data is obtained, unintentional falling probability corresponding to each setting time interval is determined, a first setting time interval corresponding to the maximum unintentional falling probability is determined, the first setting time interval is pushed to a user, the user is prompted to prevent falling of the electronic device when the use duration exceeds the first setting time interval, falling probability is reduced, and user experience is improved.

Referring to fig. 4 in accordance with the embodiments shown in fig. 2 and fig. 3, fig. 4 is a schematic structural diagram of an electronic device 400 provided in an embodiment of the present application, where the electronic device 400 includes a touch display screen, a gravity sensor, a speed sensor, and a gyroscope, as shown in fig. 4, the terminal 400 includes a processor, a memory, a communication interface, and one or more programs, where the one or more programs are different from the one or more application programs, and the one or more programs are stored in the memory and configured to be executed by the processor, and the programs include instructions for performing the following steps;

the method comprises the steps of obtaining a plurality of falling data, dividing the falling data into a plurality of areas, inputting the falling data of each area into a preset neural network model corresponding to each area, executing forward operation to obtain an output result, determining the unintentional falling data of each area according to the output result of each area, determining the falling damage degree according to the unintentional falling data, obtaining the quality of n electronic devices of the unintentional falling data, and determining the target quality according to the falling damage degree.

In one possible example, the unintentional fall data includes an initial fall height, a first time when the fall speed is maximum, a second time when the fall speed is zero for the first time, and a collision position when falling, the collision position being a position in contact with a surface of a collision object, and the instructions in the above program are specifically configured to perform the following operations in determining the degree of fall damage from the unintentional fall data: determining the impact force of a collision position in the unintentional falling data, extracting the damage degree corresponding to the unintentional falling data from a preset mapping relation table of the impact force of the collision position and the damage degree,

wherein the content of the first and second substances,

the F is the impact force of the collision position in the unintentional falling data, t₁Is the first time, t₂At the second moment, h the initial drop height, v (t) is t₁To the t₂And a function expression of the falling speed in a time period, wherein m is the mass of one electronic device of the n electronic devices, and g is the gravity acceleration.

In one possible example, the instructions in the above-described program are specifically configured to perform the following operations in determining a target quality based on the fall damage level: determining w masses of the n electronic devices, determining w average damage degrees corresponding to the w masses, obtaining p average damage degrees which are greater than a first threshold value in the w average damage degrees, determining p masses corresponding to the p average damage degrees, and determining the minimum value of the p masses as a target mass, wherein p, w and n are integers which are greater than 1, and w is greater than or equal to p and less than or equal to n.

In one possible example, the average length of use is included in the unintentional fall data, and the instructions in the above routine are further configured to: and determining the number of the unintentional falling data falling into a plurality of set time periods according to the average use time length, and determining a first set time period corresponding to the maximum number of the unintentional falling data.

In one possible example, the instructions in the program described above are further configured to: and pushing the target quality, the average damage degree corresponding to the target quality and the first set time period to a user, and prompting that the first electronic device is easily damaged when falling if the quality of the first electronic device is greater than or equal to the target quality, and the first electronic device is easily fallen if the service life of the first electronic device is greater than or equal to the first set time period.

Referring to fig. 5, fig. 5 is a block diagram showing a possible functional unit composition of the electronic device 500 for drop data processing according to the above embodiment, where the electronic device 500 includes an application processor AP510, and a communication module 520, and the communication module is connected to the AP510 through at least one circuit 530;

a communication module 520 for receiving a plurality of fall data;

the AP510 is configured to divide the fall data into a plurality of regions, input the fall data of each region into a preset neural network model corresponding to each region, perform forward operation to obtain an output result, and determine unintentional fall data of each region according to the output result of each region;

an AP510 for determining a fall impairment level from the unintentional fall data;

a communication module 520, configured to obtain the masses of the n electronic devices of the unintentional drop data, and determine a target mass according to the drop damage degree.

In a possible example, the unintentional falling data includes an initial falling height, a first time when the falling speed is maximum, a second time when the falling speed is zero for the first time, and a collision position during falling, where the collision position is a position in contact with a surface of a collision object, and in terms of determining a falling damage degree according to the unintentional falling data, the AP510 is specifically configured to determine an impact force of the collision position in the unintentional falling data, and extract a damage degree corresponding to the unintentional falling data from a preset mapping relation table of the impact force and the damage degree of the collision position.

In one possible example, in determining the target quality according to the fall damage level, the AP510 is specifically configured to: determining w masses of the n electronic devices, determining w average damage degrees corresponding to the w masses, obtaining p average damage degrees which are greater than a first threshold value in the w average damage degrees, determining p masses corresponding to the p average damage degrees, and determining the minimum value of the p masses as a target mass, wherein p, w and n are integers which are greater than 1, and w is greater than or equal to p and less than or equal to n.

Referring to fig. 6, fig. 6 is a block diagram illustrating a partial structure of a mobile phone related to an electronic device provided in an embodiment of the present application. Referring to fig. 6, the handset includes: radio Frequency (RF) circuit 710, memory 720, input unit 730, sensor 750, audio circuit 760, WIFI module 770, application processor 780, and power supply 790. Those skilled in the art will appreciate that the handset configuration shown in fig. 6 is not intended to be limiting and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.

The following describes each component of the mobile phone in detail with reference to fig. 6:

the input unit 730 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the cellular phone. Specifically, the input unit 730 may include a touch display screen 733, a fingerprint recognition device 731, a face recognition device 734, an iris recognition device 735, and other input devices 732. In particular, other input devices 732 may include, but are not limited to, one or more of physical keys, function keys (such as volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and the like.

Optionally, the mobile phone further includes a communication module, and the communication module is configured to receive the fall data.

The sensors 750 may include a gravity sensor 751, a velocity sensor 752, a gyroscope 753, and a distance sensor 754, wherein,

a gravity sensor 751 for collecting fall acceleration, transmitting said fall acceleration to an application processor 780;

a speed sensor 752 for collecting a drop speed, which is transmitted to the application processor 780;

a gyroscope 753 for collecting a fall angle, transmitting the fall angle to an application processor 780;

a distance sensor 754 for collecting the drop height, which is transmitted to the application processor 780.

The application processor 780 is configured to obtain a plurality of fall data, divide the fall data into a plurality of regions, input the fall data of each region into a preset neural network model corresponding to each region, perform forward operation to obtain an output result, determine unintentional fall data of each region according to the output result of each region, determine a fall damage degree according to the unintentional fall data, obtain the quality of n electronic devices of the unintentional fall data, and determine a target quality according to the fall damage degree.

Optionally, the unintentional falling data includes an initial falling height, a first time when the falling speed is maximum, a second time when the falling speed is zero for the first time, and a collision position during falling, where the collision position is a position in contact with a surface of a collision object, and in terms of determining a falling damage degree according to the unintentional falling data, the application processor 780 is specifically configured to determine an impact force of the collision position in the unintentional falling data, and extract a damage degree corresponding to the unintentional falling data from a preset mapping relationship table between the impact force of the collision position and the damage degree.

Optionally, in the aspect of determining the target quality according to the fall damage degree, the processor 780 is specifically configured to determine w qualities of the n electronic devices, determine w average damage degrees corresponding to the w qualities, obtain p average damage degrees, which are greater than a first threshold, of the w average damage degrees, determine p qualities corresponding to the p average damage degrees, and determine that a minimum value of the p qualities is the target quality, where p, w, and n are integers greater than 1, and p is not less than w and not more than n.

Optionally, the average usage duration is included in the unintentional drop data, and the application processor 780 is further configured to determine the number of unintentional drop data falling into a plurality of set time periods according to the average usage duration, and determine a first set time period corresponding to the maximum number of unintentional drop data.

Optionally, the application processor 780 is further configured to push the target quality, the average damage degree corresponding to the target quality, and the first set time period to a user, so as to prompt that the first electronic device is vulnerable to falling if the quality of the first electronic device is greater than or equal to the target quality, and that the first electronic device is prone to falling if the usage duration of the first electronic device is greater than or equal to the first set time period.

The application processor 780 is a control center of the mobile phone, connects various parts of the entire mobile phone by using various interfaces and lines, and performs various functions of the mobile phone and processes data by operating or executing software programs and/or modules stored in the memory 720 and calling data stored in the memory 720, thereby integrally monitoring the mobile phone. Optionally, the applications processor 780 may include one or more processing units.

Further, the memory 720 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.

In General, RF circuit 710 may be used for receiving and transmitting information, in which case RF circuit 710 may include, but is not limited to, an antenna, at least one Amplifier, a transceiver, a coupler, a low Noise Amplifier (L w Noise Amplifier, L NA), a duplexer, etc. furthermore, RF circuit 710 may communicate with a network and other devices via wireless communication, which may use any communication standard or protocol, including, but not limited to, Global System for Mobile communications (GSM), General Packet Radio Service (GPRS), Code Division Multiple Access (Code Division Multiple Access, CDMA), Wideband Code Division Multiple Access (WCDMA), Long Term Evolution (L g Term Evolution, L TE), e-mail, Short message Service (Short Messaging), etc.

The handset may also include at least one sensor 750, such as a light sensor, motion sensor, and other sensors. Specifically, the light sensor may include an ambient light sensor and a proximity sensor, wherein the ambient light sensor may adjust the brightness of the touch display screen according to the brightness of ambient light, and the proximity sensor may turn off the touch display screen and/or the backlight when the mobile phone moves to the ear. As one of the motion sensors, the accelerometer sensor can detect the magnitude of acceleration in each direction (generally, three axes), can detect the magnitude and direction of gravity when stationary, and can be used for applications of recognizing the posture of a mobile phone (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), vibration recognition related functions (such as pedometer and tapping), and the like; as for other sensors such as a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which can be configured on the mobile phone, further description is omitted here.

Audio circuitry 760, speaker 761, and microphone 762 may provide an audio interface between a user and a cell phone. The audio circuit 760 can transmit the electrical signal converted from the received audio data to the speaker 761, and the electrical signal is converted into a sound signal by the speaker 761 for playing; on the other hand, the microphone 762 converts the collected sound signal into an electrical signal, which is received by the audio circuit 760 and converted into audio data, which is then processed by the playback application processor 780 and then transmitted to, for example, another cellular phone via the RF circuit 710, or played to the memory 720 for further processing.

WIFI belongs to short-distance wireless transmission technology, and the mobile phone can help a user to receive and send electronic mails, browse webpages, access streaming media and the like through the WIFI module 770, and provides wireless broadband internet access for the user. Although fig. 6 shows the WIFI module 770, it is understood that it does not belong to the essential constitution of the handset, and it can be omitted entirely as needed within the scope of not changing the essence of the application.

The handset also includes a power supply 790 (e.g., a battery) for providing power to the various components, optionally, the power supply may be logically connected to the application processor 780 via a power management system, so as to implement functions such as managing charging, discharging, and power consumption via the power management system.

Although not shown, the mobile phone may further include a camera, a bluetooth module, a light supplement device, a light sensor, and the like, which are not described herein again.

Embodiments of the present application also provide a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program enables a computer to execute part or all of the steps of any one of the fall protection methods as described in the above method embodiments.

Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the fall protection methods as set out in the above method embodiments.

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 application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are exemplary embodiments and that the acts and modules referred to are not necessarily required in this application.

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 application 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 may be implemented in the form of hardware, or may be implemented in the form of a software program module.

The integrated units, if implemented in the form of software program modules and sold or used as stand-alone products, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several 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 described in the embodiments of the present application. And the aforementioned memory comprises: 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.

Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash Memory disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.

The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.

Claims

1. A fall protection method applied to an electronic device, the method comprising:

acquiring a plurality of falling data, dividing the falling data into a plurality of regions, inputting the falling data of each region into a preset neural network model corresponding to each region, executing forward operation to obtain an output result, and determining the unintentional falling data of each region according to the output result of each region, wherein the plurality of regions are different geographical position regions;

determining a fall impairment degree from the unintentional fall data;

2. The method of claim 1, wherein the unintentional fall data includes an initial fall height, a first time at which the fall velocity is at a maximum, a second time at which the fall velocity is at a first zero, a collision location during the fall, the collision location being a location in contact with a surface of a collision, and wherein determining the extent of fall injury from the unintentional fall data includes:

determining the impact force of a collision position in the unintentional falling data, and extracting the damage degree corresponding to the unintentional falling data from a preset mapping relation table of the impact force of the collision position and the damage degree;

wherein the content of the first and second substances,

3. The method of claim 1, wherein determining a target mass based on the fall impairment severity comprises:

determining w masses of the n electronic devices, determining w average damage degrees corresponding to the w masses, obtaining p average damage degrees which are greater than a first threshold value in the w average damage degrees, determining p masses corresponding to the p average damage degrees, and determining the minimum value of the p masses as a target mass, wherein p, w and n are integers which are greater than 1, and w is greater than or equal to p and less than or equal to n.

4. The method of claim 2, wherein determining a target mass based on the fall impairment severity comprises:

5. The method of any one of claims 1-4, wherein the unintentional fall data includes an average length of use, the method further comprising:

determining the number of unintentional falling data falling into a plurality of set time periods according to the average use time length;

determining a first set period of time to which the number of unintentional fall data corresponds at most.

6. The method of claim 5, further comprising:

and pushing the target quality, the average damage degree corresponding to the target quality and the first set time period to a user, and prompting that the first electronic device is easily damaged when falling if the quality of the first electronic device is greater than or equal to the target quality, and the first electronic device is easily fallen if the service life of the first electronic device is greater than or equal to the first set time period.

7. A fall protection electronic device, comprising: the system comprises an Application Processor (AP) and a communication module, wherein the communication module is connected with the AP through at least one circuit;

the communication module is used for receiving a plurality of fall data;

the AP is used for dividing the falling data into a plurality of areas, inputting the falling data of each area into a preset neural network model corresponding to each area to execute forward operation to obtain an output result, and determining the unintentional falling data of each area according to the output result of each area, wherein the areas are different geographical position areas;

8. The electronic device of claim 7, wherein the unintentional drop data comprises: the method comprises the steps that an initial falling height, a first moment when the falling speed is maximum, a second moment when the falling speed is zero for the first time and a collision position during falling are determined, wherein the collision position is a position in contact with the surface of a collision object, in the aspect of determining the falling damage degree according to the unintentional falling data, the AP is specifically used for determining the impact force of the collision position in the unintentional falling data, and the damage degree corresponding to the unintentional falling data is extracted from a preset mapping relation table of the impact force of the collision position and the damage degree;

wherein the content of the first and second substances,

9. The electronic device according to claim 8 or 7, wherein the AP is specifically configured to, in determining a target quality based on the fall damage level: determining w masses of the n electronic devices, determining w average damage degrees corresponding to the w masses, obtaining p average damage degrees which are greater than a first threshold value in the w average damage degrees, determining p masses corresponding to the p average damage degrees, and determining the minimum value of the p masses as a target mass, wherein p, w and n are integers which are greater than 1, and w is greater than or equal to p and less than or equal to n.

10. An electronic device comprising a processor, a memory, a communication interface, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, the programs comprising instructions for performing the steps of the method of any of claims 1-6.

11. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program for electronic data exchange, wherein the computer program causes a computer to perform the method according to any one of claims 1-6, the computer comprising an electronic device.

12. A computer program product, characterized in that the computer program product comprises a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform the method according to any one of claims 1-6.