CN108197003B - Electronic equipment, data processing method and related product - Google Patents
Electronic equipment, data processing method and related product Download PDFInfo
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- CN108197003B CN108197003B CN201810064652.XA CN201810064652A CN108197003B CN 108197003 B CN108197003 B CN 108197003B CN 201810064652 A CN201810064652 A CN 201810064652A CN 108197003 B CN108197003 B CN 108197003B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3055—Monitoring arrangements for monitoring the status of the computing system or of the computing system component, e.g. monitoring if the computing system is on, off, available, not available
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3089—Monitoring arrangements determined by the means or processing involved in sensing the monitored data, e.g. interfaces, connectors, sensors, probes, agents
Abstract
The embodiment of the invention discloses electronic equipment, a data processing method and a related product, wherein the electronic equipment comprises the following steps: the processor is connected with the memory of the processor; the memory is used for storing multiple falling records and preset probability threshold values of the electronic equipment; the processor is used for extracting multiple groups of falling data of the electronic equipment in the multiple falling records; and determining a fragile component of the electronic equipment according to the plurality of groups of falling data, wherein the fragile component is a component with a probability of being impacted being greater than the preset probability threshold. The embodiment of the invention is beneficial to realizing automatic identification of the fragile components of the electronic equipment and improving the positioning accuracy of the fragile components.
Description
Technical Field
The invention relates to the technical field of mobile terminals, in particular to electronic equipment, a data processing method and a related product.
Background
With the great popularity and rapid development of electronic devices (e.g., smart phones), more and more applications are installed in the electronic devices of users, such as video-type applications, payment-type applications, game-type applications, music-type applications, and the like.
At present, electronic equipment often falls to cause component damage (such as display screen, shell, etc.), leads to electronic equipment life to shorten, therefore, how to know accurately fragile part in electronic equipment has important guiding meaning to electronic equipment's correct use.
Disclosure of Invention
The embodiment of the invention provides electronic equipment, a data processing method and a related product, aiming at realizing automatic identification of a fragile part of the electronic equipment and improving the positioning accuracy of the fragile part.
In a first aspect, an embodiment of the present invention provides an electronic device, including a processor and a memory connected to the processor, where:
the memory is used for storing multiple falling records and preset probability threshold values of the electronic equipment;
the processor is used for extracting multiple groups of falling data of the electronic equipment in the multiple falling records; and determining a fragile component of the electronic equipment according to the plurality of groups of falling data, wherein the fragile component is a component with a probability of being impacted being greater than the preset probability threshold.
In a second aspect, an embodiment of the present invention provides a data processing method, including:
acquiring multiple falling records of the electronic equipment;
extracting a plurality of groups of falling data of the electronic equipment in the falling records;
and determining a fragile component of the electronic equipment according to the multiple groups of falling data, wherein the fragile component is a component with a collision probability larger than a preset probability threshold value.
In a third aspect, an embodiment of the present invention provides a data processing apparatus, including an obtaining unit, an extracting unit, and a determining unit, where:
the acquisition unit is used for acquiring multiple falling records of the electronic equipment;
the extracting unit is used for extracting a plurality of groups of falling data of the electronic equipment in the falling records acquired by the acquiring unit;
the determining unit is used for determining a fragile component of the electronic equipment according to the plurality of groups of falling data extracted by the extracting unit, wherein the fragile component is a component with a collision probability larger than a preset probability threshold value.
In a fourth aspect, an embodiment of the present invention provides an electronic device, including a processor, a memory, a communication interface, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the processor, and the program includes instructions for executing the steps in any of the methods in the second aspect of the embodiment of the present invention.
In a fifth aspect, the present invention provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program for electronic data exchange, where the computer program makes a computer perform part or all of the steps described in any one of the methods according to the second aspect.
In a sixth aspect, the present invention provides a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to perform some or all of the steps described in any one of the methods according to the second aspect of the embodiments of the present invention. The computer program product may be a software installation package.
It can be seen that, in the embodiment of the present invention, an electronic device includes a processor and a memory connected to the processor, where the memory is used for storing a multiple drop record and a preset probability threshold of the electronic device; the processor is used for extracting a plurality of groups of falling data of the electronic equipment in the falling records; and determining a fragile component of the electronic equipment according to the plurality of groups of falling data, wherein the fragile component is a component with a probability of being impacted being greater than the preset probability threshold. Therefore, the electronic equipment extracts effective falling data for determining the fragile component in the falling record according to the falling records for many times, determines the fragile component according to the falling data, is favorable for automatically identifying the fragile component of the electronic equipment, determines the fragile component conforming to a user according to the falling data of the electronic equipment, and improves the accuracy and the intelligence of positioning the fragile component.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1A is a schematic structural diagram of an electronic device according to an embodiment of the present invention;
fig. 1B is a schematic structural diagram of another electronic device provided in the embodiment of the present invention;
fig. 1C is a schematic structural diagram of another electronic device provided in the embodiment of the present invention;
fig. 1D is a schematic diagram of a mobile communication architecture between an electronic device and a server according to an embodiment of the present invention;
FIG. 2A is a flow chart of a data processing method according to an embodiment of the present invention;
fig. 2B is a schematic view of an acceleration direction of an electronic device falling according to an embodiment of the disclosure;
fig. 2C is a schematic view of an acceleration direction of an electronic device after the electronic device bumps into the ground according to an embodiment of the disclosure;
FIG. 2D is a schematic diagram of guiding information of a holding posture according to an embodiment of the present invention;
FIG. 3 is a flow chart of another data processing method disclosed in the embodiment of the invention;
FIG. 4 is a flow chart illustrating another data processing method disclosed in the embodiments of the present invention;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the disclosure;
FIG. 6A is a block diagram of functional units of a data processing apparatus according to an embodiment of the present invention;
FIG. 6B is a block diagram of functional units of another data processing apparatus according to the embodiment of the present invention;
fig. 6C is a block diagram of functional units of another data processing apparatus according to the embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. 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," and the like in the description and claims of the present invention and in 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.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the invention. 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 according to the embodiment of the present invention may include various handheld devices, vehicle-mounted devices, wearable devices, computing devices or other processing devices connected to a wireless modem, which have wireless communication functions, and various forms of User Equipment (UE), Mobile Stations (MS), terminal devices (terminal device), and the like. For convenience of description, the above-mentioned devices are collectively referred to as electronic devices.
The following describes embodiments of the present invention in detail.
Referring to fig. 1A, fig. 1A is a schematic structural diagram of an electronic device 100 according to an embodiment of the present invention, where the electronic device 100 includes: the housing 110, the display 120, the main board 130, the processor 140, the memory 150, the camera 160, etc. are disposed on the main board 130, wherein,
the memory 150 is configured to store multiple falling records and a preset probability threshold of the electronic device 100;
the processor 140 is configured to extract multiple sets of fall data of the electronic device in the multiple fall records; and determining a vulnerable component of the electronic device 100 according to the plurality of sets of drop data, wherein the vulnerable component is a component with an impact probability greater than the preset probability threshold.
The display 120 includes a display driving circuit, a display screen, and a touch panel, wherein the display driving circuit is configured to control the display screen to display content according to display data and display parameters (e.g., brightness, color, saturation, etc.) of a picture, the touch panel is configured to detect a touch operation, and the display screen is an organic light emitting diode display screen OLED.
The size of the main board 130 may be any size and shape that can be accommodated by the electronic device, and is not limited herein.
The processor 140 is a control center of the mobile terminal, connects various parts of the whole electronic device by using various interfaces and lines, and performs various functions of the electronic device and processes data by operating or executing software programs and/or modules stored in the memory 150 and calling data stored in the memory 150, thereby integrally monitoring the electronic device. Optionally, the processor 140 may integrate an application processor and a modem processor, wherein the application processor mainly handles operating systems, user interfaces, application programs, and the like, and the modem processor mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 140.
The memory 150 may be used to store software programs and modules, and the processor 140 executes various functional applications and data processing of the electronic device by operating the software programs and modules stored in the memory 150. The memory 150 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function, and the like; the storage data area may store data created according to use of the electronic device, and the like. Further, the memory 150 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.
It can be seen that, in the embodiment of the present invention, an electronic device includes a processor and a memory connected to the processor, where the memory is used for storing a multiple drop record and a preset probability threshold of the electronic device; the processor is used for extracting a plurality of groups of falling data of the electronic equipment in the falling records; and determining a fragile component of the electronic equipment according to the plurality of groups of falling data, wherein the fragile component is a component with a probability of being impacted being greater than a preset probability threshold. Therefore, the electronic equipment extracts effective falling data for determining the fragile component in the falling record according to the falling records for many times, determines the fragile component according to the falling data, is favorable for automatically identifying the fragile component of the electronic equipment, determines the fragile component conforming to a user according to the falling data of the electronic equipment, and improves the accuracy and the intelligence of positioning the fragile component.
In one possible example, in said determining a vulnerable component of the electronic device 100 from the plurality of sets of drop data, the processor 140 is specifically configured to: acquiring the falling height, the impact force of the ground and the ground material of each group of falling data in the plurality of groups of falling data; the device is used for determining that the falling height is larger than a preset height threshold value stored in the memory 150, and/or the impact force of the collision is larger than a preset force threshold value stored in the memory 150, and/or a plurality of groups of falling data matched with the preset material stored in the memory 150 are used as target data; determining vulnerable components of the electronic device 100 from the sets of target data.
In one possible example, as shown in fig. 1B, the electronic device 100 further includes an accelerometer 170, and in the aspect of determining the vulnerable component of the electronic device 100 according to the multiple sets of target data, the processor 140 is specifically configured to: acquiring a plurality of target posture information in the plurality of sets of target data, where the plurality of target posture information is posture information when the acceleration direction determined by the accelerometer 170 is changed to be vertical upward in the process of falling the electronic device 100 for a plurality of times; and for determining a plurality of crashing positions of the electronic device 100 from the plurality of target attitude information; and for determining a plurality of impacted components from the plurality of impact locations; and for determining as the vulnerable component the impacted component of the plurality of impacted components having an impact probability greater than the preset probability threshold stored by the memory 150.
In one possible example, after the processor 140 determines the vulnerable components of the electronic device 100 from the plurality of sets of drop data, it is further configured to: determining a plurality of groups of reference data corresponding to the fragile component in the plurality of groups of falling data; the target holding posture is determined according to the holding postures in the multiple groups of reference data; and is configured to control the display 120 to output guidance information when it is detected that the holding posture of the user matches the target holding posture, where the guidance information is used to guide the user to change the holding posture according to the guidance information.
In one possible example, as shown in fig. 1C, the electronic device further includes a communication module 180, and after the processor 140 extracts the multiple sets of fall data of the electronic device 100 in the multiple fall records, the processor is further configured to: and sending the multiple groups of drop data to a server through the communication module 180, wherein the multiple groups of drop data are used for the server to execute a preset machine learning strategy, and the machine learning strategy is used for determining at least one type of vulnerable component of the electronic equipment.
As shown in fig. 1D, the electronic device is in communication connection with the server through a mobile communication network, and the server may be a server of an electronic device manufacturer, and is used to collect drop data of each electronic device of a mobile phone manufacturer.
Referring to fig. 2A, fig. 2A is a schematic flowchart of a data processing method according to an embodiment of the present invention, applied to the electronic device shown in any one of fig. 1A to 1D, as shown in the figure, the data processing method includes:
s201, the electronic equipment acquires multiple falling records of the electronic equipment.
Each fall record comprises a plurality of data categories, such as fall time, fall height, impact force, attitude information during ground collision, fall acceleration and the like, and is not limited uniquely herein.
When the electronic equipment is in a falling event, falling data is formed into a falling record and stored in a memory of the electronic equipment.
The obtaining of the multiple drop record of the electronic device may be obtained by a maintenance person of the electronic device during maintenance, or may also be obtained by a user viewing, and the like, which is not limited herein.
S202, the electronic equipment extracts multiple groups of falling data of the electronic equipment in the multiple falling records.
The electronic device obtains a set of fall data from each fall record, each set of fall data includes at least one data category in the fall record, for example, the fall record includes fall time, fall height, impact force, and fall acceleration, and the fall data includes fall height and impact force in the fall record.
S203, the electronic equipment determines the fragile component of the electronic equipment according to the multiple groups of falling data, wherein the fragile component is a component of which the collision probability is greater than a preset probability threshold value.
The electronic device determines the fragile component of the electronic device according to the multiple sets of fall data in various ways, for example, the fragile component may be determined by determining a ground collision position according to the fall data, determining damage degrees of different components according to the ground collision position and ground collision impact force, or may be determined according to fall heights in the multiple sets of fall data.
It can be seen that, in the embodiment of the present invention, the electronic device first obtains the multiple fall records of the electronic device; secondly, extracting a plurality of groups of falling data of the electronic equipment in the multiple falling records; and finally, determining the fragile components of the electronic equipment according to the multiple groups of falling data, wherein the fragile components are the components of which the collision probability is greater than a preset probability threshold value. Therefore, the electronic equipment extracts effective falling data for determining the fragile component in the falling record according to the falling records for many times, determines the fragile component according to the falling data, is favorable for automatically identifying the fragile component of the electronic equipment, determines the fragile component conforming to a user according to the falling data of the electronic equipment, and improves the accuracy and the intelligence of positioning the fragile component.
In one possible example, the determining a vulnerable component of the electronic device from the plurality of sets of drop data includes:
acquiring the falling height, the impact force of the ground and the ground material of each group of falling data in the plurality of groups of falling data;
determining that the falling height is greater than a preset height threshold value, and/or the impact force of the ground collision is greater than a preset force threshold value, and/or multiple groups of falling data matched with the ground material and preset material are target data;
and determining the vulnerable parts of the electronic equipment according to the multiple groups of target data.
The multiple sets of target data may be any multiple sets of the multiple sets of fall data, for example, the multiple sets of fall data are 10 sets, and the multiple sets of target data may be 5 sets of the 10 sets of fall data.
The falling height is small, the impact force of the collision is small, or the ground material is soft, so that large damage to electronic equipment components cannot be caused, and only multiple groups of falling data with falling heights larger than a preset height threshold value or collision impact forces larger than a preset force threshold value or ground material and preset material matching are selected as target data.
The preset height threshold and the preset force threshold may be empirical values, and may be preset in a program of the electronic device by a developer before shipment.
Therefore, in the example, the electronic device selects the target data in the multiple groups of falling data according to the falling height and the impact strength, only selects the multiple groups of target data helpful for determining the fragile component, instead of determining the fragile component according to the multiple groups of falling data, so that the data analysis amount is favorably reduced, and the data processing speed is increased while the data processing accuracy is not influenced.
In one possible example, the determining a vulnerable component of the electronic device from the sets of target data includes:
acquiring a plurality of target attitude information in the plurality of groups of target data, wherein the plurality of target attitude information are attitude information when the acceleration direction of the electronic equipment is changed to be vertical upward in the process of falling for a plurality of times;
determining a plurality of ground collision positions of the electronic equipment according to the plurality of target attitude information;
determining a plurality of impacted components according to the plurality of impact positions;
determining the impacted component with the impacted probability greater than the preset probability threshold value in the plurality of impacted components as the fragile component.
The target attitude information is attitude information when the acceleration direction of the electronic equipment is changed from vertical downward to vertical upward for the first time in the falling process, namely the attitude information of the electronic equipment when the electronic equipment impacts the ground, the acceleration direction before impacting the ground is vertical downward, and the acceleration direction after impacting the ground is vertical upward.
For example, the X-axis, the Y-axis, and the Z-axis of the accelerometer are shown in fig. 2B or fig. 2C, as shown in fig. 2B, the acceleration direction when the electronic device falls is the gravity acceleration direction, as shown in fig. 2C, and when the electronic device hits the ground, the electronic device receives an upward impact force from the ground, so the acceleration direction after the ground hit is a vertical upward direction parallel to the direction of the impact force from the ground hit.
Wherein the hit probability of each hit part is the ratio of the number of hit times of the hit part to the total number of hit times in the plurality of target data.
Therefore, in the example, the electronic equipment determines the impacted part impacting the ground according to the posture information falling to the ground, and further determines the fragile component, so that the accuracy and the intelligence of determining the fragile component are improved.
In one possible example, after determining the vulnerable component of the electronic device from the plurality of sets of drop data, the method further comprises:
determining a plurality of groups of reference data corresponding to the fragile component in the plurality of groups of falling data;
determining a target holding posture according to the holding postures in the multiple groups of reference data;
and outputting guide information when the holding posture of the user is matched with the target holding posture, wherein the guide information is used for guiding the user to change the holding posture according to the guide information.
And the collision positions corresponding to each group of falling data are different, and the corresponding fragile components are different, so that the multiple groups of reference data are data in the multiple groups of falling data corresponding to the fragile components.
The target holding posture is a holding posture at which the user is most prone to falling of the electronic equipment, namely, the holding posture with the most times of occurrences in the holding postures in the multiple groups of reference data.
As shown in fig. 2D, when the target holding posture is the holding posture as shown in the figure, the target holding posture is for clicking the target area as shown in the figure, which easily causes the electronic device to fall, and then the guide information as shown in the figure is output, so that the user is guided to hold the electronic device with both hands for operation.
In this example, the electronic device determines a target holding posture in which a user is prone to a falling event when using the electronic device, and outputs the guidance information to correct the holding posture of the user when the user is in the holding posture with the same target holding posture, so that falling is avoided, and the service life of the electronic device is prolonged.
In one possible example, after extracting the plurality of sets of fall data for the electronic device in the multiple fall record, the method further comprises:
and sending the multiple groups of falling data to a server, wherein the multiple groups of falling data are used for the server to execute a preset machine learning strategy, and the machine learning strategy is used for determining at least one type of fragile components of the electronic equipment.
Therefore, in the example, the electronic equipment sends the multiple groups of falling data to the server, so that the server can be helped to perform big data analysis, the easily damaged parts of the electronic equipment can be known according to the data analysis, and the improvement of the electronic equipment is facilitated.
Referring to fig. 3, fig. 3 is a schematic flow chart of a data processing method according to an embodiment of the present invention, and the data processing method is applied to the electronic device according to any one of the embodiments of fig. 1A to 1D, consistent with the embodiment of fig. 2A. As shown in the figure, the data processing method includes:
s301, the electronic equipment acquires multiple falling records of the electronic equipment.
S302, the electronic equipment extracts multiple groups of falling data of the electronic equipment in the multiple falling records.
And S303, the electronic equipment acquires the falling height, the impact force of the ground and the ground material of each group of falling data in the plurality of groups of falling data.
S304, the electronic equipment determines that the falling height is larger than a preset height threshold, and/or the impact force of the ground collision is larger than a preset force threshold, and/or multiple groups of falling data matched with the ground material and preset material are target data.
S305, the electronic equipment determines a fragile component of the electronic equipment according to the multiple groups of target data, wherein the fragile component is a component of which the collision probability is greater than a preset probability threshold.
S306, the electronic equipment determines multiple groups of reference data corresponding to the fragile components in the multiple groups of falling data.
S307, the electronic equipment determines a target holding posture according to the holding postures in the multiple groups of reference data.
S308, when the electronic equipment detects that the holding posture of the user is matched with the target holding posture, outputting guide information, wherein the guide information is used for guiding the user to change the holding posture according to the guide information.
It can be seen that, in the embodiment of the present invention, the electronic device first obtains the multiple fall records of the electronic device; secondly, extracting a plurality of groups of falling data of the electronic equipment in the multiple falling records; and finally, determining the fragile components of the electronic equipment according to the multiple groups of falling data, wherein the fragile components are the components of which the collision probability is greater than a preset probability threshold value. Therefore, the electronic equipment extracts effective falling data for determining the fragile component in the falling record according to the falling records for many times, determines the fragile component according to the falling data, is favorable for automatically identifying the fragile component of the electronic equipment, determines the fragile component conforming to a user according to the falling data of the electronic equipment, and improves the accuracy and the intelligence of positioning the fragile component.
In addition, the electronic equipment selects the target data in the multiple groups of falling data according to the falling height and the impact strength, only selects the multiple groups of target data helpful for determining the fragile components instead of determining the fragile components according to the multiple groups of falling data, so that the data analysis amount is favorably reduced, and the data processing speed is increased while the data processing accuracy is not influenced.
In addition, the electronic equipment determines the target holding posture of the user, which is easy to fall down when the user uses the electronic equipment, and outputs the guide information to correct the holding posture of the user when the user is in the holding posture with the same target holding posture, so that falling down is avoided, and the service life of the electronic equipment is prolonged.
Referring to fig. 4, fig. 4 is a schematic flow chart of a data processing method according to an embodiment of the present invention, and the data processing method is applied to the electronic device according to any one of the embodiments of fig. 1A to 1D, consistent with the embodiment of fig. 2A. As shown in the figure, the data processing method includes:
s401, the electronic equipment acquires multiple falling records of the electronic equipment.
S402, the electronic equipment extracts multiple groups of falling data of the electronic equipment in the falling records.
And S403, the electronic equipment sends the multiple groups of drop data to a server, the multiple groups of drop data are used for the server to execute a preset machine learning strategy, and the machine learning strategy is used for determining at least one type of fragile components of the electronic equipment.
S404, the electronic equipment acquires the falling height, the impact force of the ground and the ground material of each group of falling data in the plurality of groups of falling data.
S405, the electronic equipment determines that the falling height is larger than a preset height threshold, and/or the impact force of the ground collision is larger than a preset force threshold, and/or multiple groups of falling data matched with the ground material and preset material are target data.
S406, the electronic device acquires a plurality of target posture information in the plurality of groups of target data, wherein the plurality of target posture information are posture information when the acceleration direction of the electronic device is changed to be vertical upward in the process of falling for a plurality of times.
S407, the electronic equipment determines a plurality of ground collision positions of the electronic equipment according to the target attitude information.
S408, the electronic equipment determines a plurality of impacted parts according to the plurality of impact positions.
S409, the electronic equipment determines that the impacted component with the impacted probability greater than a preset probability threshold value in the impacted components is a fragile component.
It can be seen that, in the embodiment of the present invention, the electronic device first obtains the multiple fall records of the electronic device; secondly, extracting a plurality of groups of falling data of the electronic equipment in the multiple falling records; and finally, determining the fragile components of the electronic equipment according to the multiple groups of falling data, wherein the fragile components are the components of which the collision probability is greater than a preset probability threshold value. Therefore, the electronic equipment extracts effective falling data for determining the fragile component in the falling record according to the falling records for many times, determines the fragile component according to the falling data, is favorable for automatically identifying the fragile component of the electronic equipment, determines the fragile component conforming to a user according to the falling data of the electronic equipment, and improves the accuracy and the intelligence of positioning the fragile component.
In addition, the electronic equipment sends a plurality of groups of falling data to the server, which is favorable for helping the server to carry out big data analysis, and the easily damaged parts of each electronic equipment are known according to the data analysis, thereby being favorable for improving the electronic equipment.
In addition, the electronic equipment selects the target data in the multiple groups of falling data according to the falling height and the impact strength, only selects the multiple groups of target data helpful for determining the fragile components instead of determining the fragile components according to the multiple groups of falling data, so that the data analysis amount is favorably reduced, and the data processing speed is increased while the data processing accuracy is not influenced.
In accordance with the embodiments shown in fig. 2A, fig. 3, and fig. 4, please refer to fig. 5, and fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention, where the electronic device includes a processor, a memory, a communication interface, and one or more programs, where 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;
acquiring multiple falling records of the electronic equipment;
extracting a plurality of groups of falling data of the electronic equipment in the falling records;
and determining a fragile component of the electronic equipment according to the multiple groups of falling data, wherein the fragile component is a component with a collision probability larger than a preset probability threshold value.
It can be seen that, in the embodiment of the present invention, the electronic device first obtains the multiple fall records of the electronic device; secondly, extracting a plurality of groups of falling data of the electronic equipment in the multiple falling records; and finally, determining the fragile components of the electronic equipment according to the multiple groups of falling data, wherein the fragile components are the components of which the collision probability is greater than a preset probability threshold value. Therefore, the electronic equipment extracts effective falling data for determining the fragile component in the falling record according to the falling records for many times, determines the fragile component according to the falling data, is favorable for automatically identifying the fragile component of the electronic equipment, determines the fragile component conforming to a user according to the falling data of the electronic equipment, and improves the accuracy and the intelligence of positioning the fragile component.
In one possible example, in the determining a vulnerable component of the electronic device from the plurality of sets of fall data, the instructions in the program are specifically configured to: acquiring the falling height, the impact force of the ground and the ground material of each group of falling data in the plurality of groups of falling data; the system comprises a ground material, a falling height detection module, a ground impact detection module, a ground material detection module and a data processing module, wherein the falling height detection module is used for detecting falling height of a ground material; and determining a fragile component of the electronic device from the plurality of sets of target data.
In one possible example, in the determining a vulnerable component of the electronic device based on the sets of target data, the instructions in the program are specifically configured to: acquiring a plurality of target attitude information in the plurality of groups of target data, wherein the plurality of target attitude information are attitude information when the acceleration direction of the electronic equipment is changed to be vertical upward in the process of falling for a plurality of times; the electronic equipment is used for determining a plurality of ground collision positions of the electronic equipment according to the target attitude information; and for determining a plurality of impacted components from the plurality of impact locations; and determining that the impacted component with the impacted probability greater than the preset probability threshold is the fragile component.
In one possible example, the program further includes instructions for performing the steps of: after determining the fragile component of the electronic equipment according to the plurality of groups of falling data, determining a plurality of groups of reference data corresponding to the fragile component in the plurality of groups of falling data; determining a target holding posture according to the holding postures in the multiple groups of reference data; and when the holding posture of the user is detected to be matched with the target holding posture, outputting guide information, wherein the guide information is used for guiding the user to change the holding posture according to the guide information.
In one possible example, the program further includes instructions for performing the steps of: and after extracting multiple groups of fall data of the electronic equipment in the multiple fall records, sending the multiple groups of fall data to a server, wherein the multiple groups of fall data are used for executing a preset machine learning strategy by the server, and the machine learning strategy is used for determining at least one type of fragile components of the electronic equipment.
The above description has introduced the solution of the embodiment of the present invention mainly from the perspective of the method-side implementation process. It is understood that the electronic device comprises corresponding hardware structures and/or software modules for performing the respective functions in order to realize the above-mentioned functions. Those of skill in the art will readily appreciate that the present invention can be implemented in hardware or a combination of hardware and computer software, with the exemplary elements and algorithm steps described in connection with the embodiments disclosed herein. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The embodiment of the present invention may perform the division of the functional units on the electronic device according to the above method example, for example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing 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. It should be noted that the division of the unit in the embodiment of the present invention is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
Fig. 6A is a block diagram of functional units of the data processing apparatus 600 according to the embodiment of the present application. The data processing apparatus 600 is applied to an electronic device, and the data processing apparatus 600 includes: an acquisition unit 601, an extraction unit 602, and a determination unit 603, wherein,
the acquiring unit 601 is configured to acquire a multiple drop record of the electronic device;
the extracting unit 602 is configured to extract multiple sets of fall data of the electronic device in the multiple fall records acquired by the acquiring unit 601;
the determining unit 603 is configured to determine a fragile component of the electronic device according to the multiple sets of drop data extracted by the extracting unit 602, where the fragile component is a component whose hit probability is greater than a preset probability threshold.
It can be seen that, in the embodiment of the application, the electronic device first obtains the multiple falling records of the electronic device; secondly, extracting a plurality of groups of falling data of the electronic equipment in the multiple falling records; and finally, determining the fragile components of the electronic equipment according to the multiple groups of falling data, wherein the fragile components are the components of which the collision probability is greater than a preset probability threshold value. Therefore, the electronic equipment extracts effective falling data for determining the fragile component in the falling record according to the falling records for many times, determines the fragile component according to the falling data, is favorable for automatically identifying the fragile component of the electronic equipment, determines the fragile component conforming to a user according to the falling data of the electronic equipment, and improves the accuracy and the intelligence of positioning the fragile component.
In one possible example, in the aspect of determining a vulnerable component of the electronic device according to the multiple sets of drop data, the determining unit 603 is specifically configured to: acquiring the falling height, the impact force of the ground and the ground material of each group of falling data in the plurality of groups of falling data; the system comprises a ground material, a falling height detection module, a ground impact detection module, a ground material detection module and a data processing module, wherein the falling height detection module is used for detecting falling height of a ground material; and determining a fragile component of the electronic device from the plurality of sets of target data.
In one possible example, in the aspect of determining the vulnerable component of the electronic device according to the multiple sets of target data, the determining unit 603 is specifically configured to: acquiring a plurality of target attitude information in the plurality of groups of target data, wherein the plurality of target attitude information are attitude information when the acceleration direction of the electronic equipment is changed to be vertical upward in the process of falling for a plurality of times; the electronic equipment is used for determining a plurality of ground collision positions of the electronic equipment according to the target attitude information; and for determining a plurality of impacted components from the plurality of impact locations; and determining that the impacted component with the impacted probability greater than the preset probability threshold is the fragile component.
In one possible example, as shown in fig. 6B, the data processing apparatus 600 further includes an output unit 604, wherein:
the determining unit 603 is further configured to, after determining the vulnerable component of the electronic device from the plurality of sets of drop data: determining a plurality of groups of reference data corresponding to the fragile component in the plurality of groups of falling data; determining a target holding posture according to the holding postures in the multiple groups of reference data;
the output unit 604 is configured to output guidance information when it is detected that the holding posture of the user matches the target holding posture, where the guidance information is used to guide the user to change the holding posture according to the guidance information.
In one possible example, as shown in fig. 6C, the data processing apparatus further includes a sending unit 605, wherein:
the sending unit 605 is configured to send, to a server, multiple sets of fall data of the electronic device after the extracting unit 602 extracts the multiple sets of fall data of the electronic device in the multiple fall records, where the multiple sets of fall data are used for the server to execute a preset machine learning policy, and the machine learning policy is used to determine at least one type of fragile component of the electronic device.
The extracting unit 602 and the determining unit 603 may be processors, the obtaining unit 601 and the sending unit 605 may be communication interfaces or transceivers, and the output unit 604 may be a display.
An embodiment of the present invention further provides a computer storage medium, where 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 methods described in the above method embodiments, and the computer includes a mobile terminal.
Embodiments of the present invention 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 methods as described in the above method embodiments. The computer program product may be a software installation package, the computer comprising a mobile terminal.
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 above-described division of the units is only one type of division of logical functions, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. 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 may be stored in a computer readable memory if it is implemented in the form of a software functional unit and sold or used as a stand-alone product. 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 memory and includes 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 above methods according to the embodiments of the present invention. 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 above embodiments of the present invention are described in detail, and the principle and the implementation of the present invention are explained by applying specific embodiments, and the above description of the embodiments is only used to help understanding the method of the present invention and the core idea thereof; meanwhile, for a person skilled in the art, according to the idea of the present invention, 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 invention.
Claims (9)
1. An electronic device comprising a processor and a memory coupled to the processor, wherein:
the memory is used for storing multiple falling records and preset probability threshold values of the electronic equipment;
the processor is used for extracting multiple groups of falling data of the electronic equipment in the multiple falling records; and determining a fragile component of the electronic device according to the plurality of sets of drop data, wherein the fragile component is a component with a hit probability greater than the preset probability threshold;
wherein the content of the first and second substances,
in the aspect of determining a vulnerable component of the electronic device from the plurality of sets of drop data, the processor is specifically configured to: acquiring the falling height, the impact force of the ground and the ground material of each group of falling data in the plurality of groups of falling data; the device is used for determining that the falling height is larger than a preset height threshold value stored in the memory, and/or the impact force of the collision is larger than a preset force threshold value stored in the memory, and/or a plurality of groups of falling data matched with the ground material and the preset material stored in the memory are target data; and a fragile component for determining the electronic device from the plurality of sets of target data;
wherein the electronic device further comprises an accelerometer, and in the determining a vulnerable component of the electronic device from the sets of target data, the processor is specifically configured to: acquiring a plurality of target attitude information in the plurality of groups of target data, wherein the plurality of target attitude information are attitude information when the acceleration direction determined by the accelerometer is changed into vertical upward direction in the process of falling for a plurality of times of the electronic equipment; the electronic equipment is used for determining a plurality of ground collision positions of the electronic equipment according to the target attitude information; and for determining a plurality of impacted components from the plurality of impact locations; and determining that the impacted component with the impacted probability greater than the preset probability threshold stored by the memory among the plurality of impacted components is the vulnerable component.
2. The device of claim 1, wherein the electronic device further comprises a display, and wherein the processor, after determining the vulnerable component of the electronic device from the plurality of sets of drop data, is further configured to: determining a plurality of groups of reference data corresponding to the fragile component in the plurality of groups of falling data; the target holding posture is determined according to the holding postures in the multiple groups of reference data; and the display is controlled to output guide information when the holding posture of the user is matched with the target holding posture, wherein the guide information is used for guiding the user to change the holding posture according to the guide information.
3. The device of any of claims 1-2, wherein the electronic device further comprises a communication module, and wherein after the processor extracts the plurality of sets of fall data for the electronic device in the multiple fall record, the processor is further configured to: and sending the multiple groups of falling data to a server through the communication module, wherein the multiple groups of falling data are used for the server to execute a preset machine learning strategy, and the machine learning strategy is used for determining at least one type of fragile components of the electronic equipment.
4. A data processing method, comprising:
acquiring multiple falling records of the electronic equipment;
extracting a plurality of groups of falling data of the electronic equipment in the falling records;
determining a fragile component of the electronic equipment according to the multiple groups of falling data, wherein the fragile component is a component with a collision probability greater than a preset probability threshold;
wherein said determining a vulnerable component of said electronic device from said plurality of sets of drop data comprises:
acquiring the falling height, the impact force of the ground and the ground material of each group of falling data in the plurality of groups of falling data;
determining that the falling height is greater than a preset height threshold value, and/or the impact force of the ground collision is greater than a preset force threshold value, and/or multiple groups of falling data matched with the ground material and preset material are target data;
determining a fragile component of the electronic device according to the multiple sets of target data;
wherein the determining a vulnerable component of the electronic device from the sets of target data comprises:
acquiring a plurality of target attitude information in the plurality of groups of target data, wherein the plurality of target attitude information are attitude information when the acceleration direction of the electronic equipment is changed to be vertical upward in the process of falling for a plurality of times;
determining a plurality of ground collision positions of the electronic equipment according to the plurality of target attitude information;
determining a plurality of impacted components according to the plurality of impact positions;
determining the impacted component with the impacted probability greater than the preset probability threshold value in the plurality of impacted components as the fragile component.
5. The method of claim 4, wherein after determining the vulnerable component of the electronic device from the plurality of sets of drop data, the method further comprises:
determining a plurality of groups of reference data corresponding to the fragile component in the plurality of groups of falling data;
determining a target holding posture according to the holding postures in the multiple groups of reference data;
and outputting guide information when the holding posture of the user is matched with the target holding posture, wherein the guide information is used for guiding the user to change the holding posture according to the guide information.
6. The method of any of claims 4-5, wherein after extracting the plurality of sets of fall data for the electronic device in the multiple fall record, the method further comprises:
and sending the multiple groups of falling data to a server, wherein the multiple groups of falling data are used for the server to execute a preset machine learning strategy, and the machine learning strategy is used for determining at least one type of fragile components of the electronic equipment.
7. A data processing apparatus characterized by comprising an acquisition unit, an extraction unit, and a determination unit, wherein:
the acquisition unit is used for acquiring multiple falling records of the electronic equipment;
the extracting unit is used for extracting a plurality of groups of falling data of the electronic equipment in the falling records acquired by the acquiring unit;
the determining unit is used for determining a fragile component of the electronic equipment according to the plurality of groups of falling data extracted by the extracting unit, wherein the fragile component is a component with a collision probability larger than a preset probability threshold;
wherein said determining a vulnerable component of said electronic device from said plurality of sets of drop data comprises:
acquiring the falling height, the impact force of the ground and the ground material of each group of falling data in the plurality of groups of falling data;
determining that the falling height is greater than a preset height threshold value, and/or the impact force of the ground collision is greater than a preset force threshold value, and/or multiple groups of falling data matched with the ground material and preset material are target data;
determining a fragile component of the electronic device according to the multiple sets of target data;
wherein the determining a vulnerable component of the electronic device from the sets of target data comprises:
acquiring a plurality of target attitude information in the plurality of groups of target data, wherein the plurality of target attitude information are attitude information when the acceleration direction of the electronic equipment is changed to be vertical upward in the process of falling for a plurality of times;
determining a plurality of ground collision positions of the electronic equipment according to the plurality of target attitude information;
determining a plurality of impacted components according to the plurality of impact positions;
determining the impacted component with the impacted probability greater than the preset probability threshold value in the plurality of impacted components as the fragile component.
8. An electronic device comprising a processor, a memory, a communication interface, and one or more programs stored in the memory and configured to be executed by the processor, the programs comprising instructions for performing the steps in the method of any of claims 4-6.
9. A computer-readable storage medium, characterized in that a computer program for electronic data exchange is stored, wherein the computer program causes a computer to perform the method according to any of the claims 4-6.
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