CN111564165A - Data storage method, device, equipment and storage medium - Google Patents
Data storage method, device, equipment and storage medium Download PDFInfo
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- CN111564165A CN111564165A CN202010346398.XA CN202010346398A CN111564165A CN 111564165 A CN111564165 A CN 111564165A CN 202010346398 A CN202010346398 A CN 202010346398A CN 111564165 A CN111564165 A CN 111564165A
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- G—PHYSICS
- G11—INFORMATION STORAGE
- G11B—INFORMATION STORAGE BASED ON RELATIVE MOVEMENT BETWEEN RECORD CARRIER AND TRANSDUCER
- G11B20/00—Signal processing not specific to the method of recording or reproducing; Circuits therefor
- G11B20/10—Digital recording or reproducing
- G11B20/10527—Audio or video recording; Data buffering arrangements
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
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- G—PHYSICS
- G11—INFORMATION STORAGE
- G11B—INFORMATION STORAGE BASED ON RELATIVE MOVEMENT BETWEEN RECORD CARRIER AND TRANSDUCER
- G11B20/00—Signal processing not specific to the method of recording or reproducing; Circuits therefor
- G11B20/10—Digital recording or reproducing
- G11B20/10527—Audio or video recording; Data buffering arrangements
- G11B2020/10537—Audio or video recording
- G11B2020/10546—Audio or video recording specifically adapted for audio data
Abstract
The embodiment of the application provides a data storage method, a data storage device, data storage equipment and a data storage medium, and relates to the technical field of computers. The method comprises the following steps: acquiring travel data during travel, wherein the travel data comprises recording data and heartbeat data; splitting the travel data into n travel segments, wherein the travel segments comprise a recording segment corresponding to the recording data and a heartbeat segment corresponding to the heartbeat data, and n is a positive integer; calculating respective importance parameters of the n travel segments, wherein the importance parameters are used for representing the importance degree of the travel segments in the travel period; and correspondingly storing the respective importance parameters of the recording segments and the n travel segments in the n travel segments. According to the technical scheme, the taxi taking recording segments are evaluated from two dimensions of heartbeat and sound, and the importance degrees of different segments are distinguished. And the recording fragment and the importance parameter are correspondingly stored, so that a user can conveniently learn the importance degree of the recording fragment.
Description
Technical Field
The embodiment of the application relates to the technical field of computers, in particular to a data storage method, a data storage device, a data storage backup device and a data storage medium.
Background
With the development of the times, users can use the travel application program to realize free travel.
In the related art, in order to ensure the travel safety of a user, a travel application program acquires recording data during the travel to monitor a taxi taking scene during the travel of the user, and uploads the recording data to a server as evidence for recurrence of a taxi taking dispute scene. And the server stores the recording data according to the date after receiving the recording data, and deletes the recording data with earlier storage time regularly so as to store new recording data conveniently.
Disclosure of Invention
The embodiment of the application provides a data storage method, a data storage device, data storage equipment and a data storage medium. The technical scheme is as follows:
in one aspect, an embodiment of the present application provides a data storage method, where the method includes:
acquiring travel data during travel, wherein the travel data comprises recorded data and heartbeat data;
splitting the travel data into n travel segments, wherein the travel segments comprise a recording segment corresponding to the recording data and a heartbeat segment corresponding to the heartbeat data, and n is a positive integer;
calculating an importance parameter of each of the n travel segments, wherein the importance parameter is used for representing the importance degree of the travel segment during the travel;
and correspondingly storing the respective importance parameters of the recording segments and the n travel segments in the n travel segments.
In another aspect, an embodiment of the present application provides a data storage device, where the data storage device includes:
the data acquisition module is used for acquiring travel data during travel, and the travel data comprises recording data and heartbeat data;
the data splitting module is used for splitting the travel data into n travel segments, wherein the travel segments comprise a recording segment corresponding to the recording data and a heartbeat segment corresponding to the heartbeat data, and n is a positive integer;
a parameter calculating module, configured to calculate an importance parameter of each of the n trip segments, where the importance parameter is used to represent an importance degree of the trip segment during the trip;
and the data storage module is used for correspondingly storing the respective importance parameters of the sound recording segments and the n journey segments in the n journey segments.
In still another aspect, an embodiment of the present application provides a computer device, where the computer device includes a processor and a memory, where the memory stores a computer program, and the computer program is loaded and executed by the processor to implement the data storage method described above.
In a further aspect, the present application provides a computer-readable storage medium, in which a computer program is stored, where the computer program is loaded and executed by a processor to implement the data storage method described above.
The technical scheme provided by the embodiment of the application can have the following beneficial effects:
the travel data during travel are acquired and comprise recording data and heartbeat data, the travel data are divided into n travel segments, respective importance parameters of the n travel segments are calculated, and the recording segments in the travel segments and the importance parameters of the travel segments are correspondingly stored. According to the embodiment of the application, the taxi taking recording fragments are evaluated from two dimensions of heartbeat and sound, and the importance degrees of different fragments are distinguished. And the recording fragment and the importance parameter are correspondingly stored, so that a user can conveniently learn the importance degree of the recording fragment.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
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 only 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. 1 is a schematic illustration of an implementation environment provided by one embodiment of the present application;
FIG. 2 is a schematic illustration of an implementation environment provided by another embodiment of the present application;
FIG. 3 is a flow chart illustrating a data storage method provided by an embodiment of the present application;
FIG. 4 is a flow chart illustrating a data storage method provided by another embodiment of the present application;
FIG. 5 is a flowchart illustrating a method for calculating an importance parameter of a recording segment according to an embodiment of the present application;
fig. 6 is a flowchart illustrating a method for calculating an importance parameter of a heartbeat segment according to an embodiment of the present application;
FIG. 7 illustrates a block diagram of a data storage device provided by an embodiment of the present application;
fig. 8 shows a block diagram of a computer device according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of methods consistent with aspects of the present application, as detailed in the appended claims.
FIG. 1 is a schematic illustration of an implementation environment provided by an embodiment of the present application. The implementation environment may include: the terminal 10, the heartbeat collecting device 20 and the server 30.
In the embodiment of the present application, the terminal 10 refers to a device for collecting recorded sound data. The terminal 10 may have a travel application installed thereon, for example, the travel application may include a taxi taking application, a navigation application, or other applications, and the embodiment of the present application does not limit the type and number of the travel applications installed on the terminal 10. Optionally, a microphone is disposed on the terminal 10, and the microphone is used for collecting recording data. The travel-class application has the microphone authority to access the terminal 10 to collect the recorded data. Illustratively, the terminal 10 may be an electronic device such as a cell phone, a tablet, a wearable device, or the like.
In the embodiment of the present application, the heartbeat collecting device 20 refers to a device for collecting heartbeat data. Illustratively, the heartbeat acquisition device 20 may be an electronic device such as a bracelet or other wearable device or a cell phone.
In the embodiment of the present application, the server 30 may be one server, or may be a server cluster composed of a plurality of servers. Alternatively, the server 30 is a device for storing the recording section and the importance parameter of each of the travel sections in the travel sections.
In one example, as shown in fig. 2, taking a trip scene as an example, the trip tool is an automobile, the terminal 10 may be a mobile phone used by a driver, and the heartbeat collecting device 20 may be a bracelet. Dispose cell-phone and bracelet in the car, the cell-phone is used for the recording, and the bracelet is worn respectively by driver and passenger for gather driver and passenger's heartbeat data respectively. After the passenger gets on the bus, after the driver and the passenger bracelet are worn to be ready successfully, the heartbeat of the driver and the heartbeat and the recording of the passenger are synchronously acquired. After the passenger gets off the car (i.e. after the taxi-taking order is completed), the recording is finished, the heartbeat statistics is stopped, 2 pieces of heartbeat data with the same start-stop time as the recorded data are obtained, and the heartbeat data are uploaded to the server 30 along with the recorded data.
For convenience of description, the following description will be given by taking an execution subject of each step as a computer device as an example, and the computer device refers to an electronic device having computing and processing capabilities, but should not limit the embodiments of the present application. The technical solution of the present application will be described below by means of several embodiments.
Referring to fig. 3, a flowchart of a data storage method according to an embodiment of the present application is shown. In the present embodiment, the method is mainly exemplified by being applied to the computer device described above. The method may include the steps of:
In the embodiment of the present application, the travel data includes recorded sound data and heartbeat data. The trip period refers to a time period from the time when the passenger gets on the vehicle to the time when the passenger gets off the vehicle. The recorded data is consistent with the start-stop time of the heartbeat data, and the recorded data can only comprise recorded data of a driver, recorded data of a passenger and recorded data between the driver and the passenger. The heartbeat data may include only heartbeat data of the driver, may also include only heartbeat data of the passenger, and may also include heartbeat data of the driver and heartbeat data of the passenger.
In the embodiment of the application, the travel segment includes a recording segment corresponding to the recording data and a heartbeat segment corresponding to the heartbeat data. If the heartbeat data comprises heartbeat data of the driver and heartbeat data of the passenger, the travel segment comprises a recording segment, a driver heartbeat segment corresponding to the heartbeat data of the driver and a passenger heartbeat segment corresponding to the heartbeat data of the passenger; if the heartbeat data only comprises the heartbeat data of the driver, the travel segment comprises a recording segment and a heartbeat segment of the driver; if the heartbeat data only comprises the heartbeat data of the passenger, the travel segment comprises a recording segment and a passenger heartbeat segment.
Optionally, the respective durations of the n trip segments are consistent, that is, the respective durations of the n recording segments are consistent, the respective durations of the n heartbeat segments are consistent, and the durations of the recording segments and the heartbeat segments are consistent. For example, the duration of the trip segments is 30 seconds each. When the split stroke segment is less than 30 seconds, supplementing the split stroke segment to 30 seconds, for example, if the split stroke segment is 5 seconds, copying the 5 seconds for 5 times to supplement the rest 25 seconds to obtain the stroke segment with the duration of 30 seconds; for another example, if the split stroke segment is 4 seconds, the 4 seconds are copied 6.5 times to make up for the remaining 26 seconds, and a stroke segment with a duration of 30 seconds is obtained.
In the embodiment of the application, the importance parameter is used for representing the importance degree of the travel segment during the travel. The larger the importance parameter is, the more important the travel segment is during travel; the smaller the importance parameter, the less important the travel segment is during travel. The importance parameter may be different for different time periods during the trip. Alternatively, the importance parameter may be expressed as a weight.
The importance parameter of the journey segment can be determined according to the importance parameter of the recording segment and the importance parameter of the heartbeat segment.
And step 304, correspondingly storing the respective importance parameters of the recording segments and the n travel segments in the n travel segments.
For example, there are 5 travel segments, and the importance parameter of each travel segment is 5, 2, 4, 3, and 4, respectively, then the computer device may store the recording segment in the first travel segment corresponding to 5, the recording segment in the second travel segment corresponding to 2, the recording segment in the third travel segment corresponding to 4, the recording segment in the fourth travel segment corresponding to 3, and the recording segment in the fifth travel segment corresponding to 4. And storing the recording segments according to the time sequence of the travel periods.
In summary, in the technical scheme provided in the embodiment of the present application, by acquiring the travel data during travel, where the travel data includes recording data and heartbeat data, the travel data is split into n travel segments, respective importance parameters of the n travel segments are calculated, and the recording segments in the travel segments and the importance parameters of the travel segments are correspondingly stored. According to the embodiment of the application, the taxi taking recording fragments are evaluated from two dimensions of heartbeat and sound, and the importance degrees of different fragments are distinguished. And the recording fragment and the importance parameter are correspondingly stored, so that a user can conveniently learn the importance degree of the recording fragment.
In addition, different storage strategies can be formulated according to the importance degrees of different segments, so that the storage scheme is optimized.
In a possible implementation, the computer device calculates the respective importance parameter of the n travel segments by:
firstly, calculating an importance parameter of a recording segment.
And secondly, calculating the importance parameter of the heartbeat segment.
It should be noted that the importance parameter of the recording segment and the importance parameter of the heartbeat segment may be calculated together; or the importance parameter of the recording segment can be calculated first, and then the importance parameter of the heartbeat segment can be calculated; the importance parameter of the heartbeat segment can be calculated first, and then the importance parameter of the recording segment can be calculated.
The calculation flow of the importance parameter of the recording segment and the importance parameter of the heartbeat segment is shown in the following embodiments.
Thirdly, determining the importance parameter of the travel segment according to the importance parameter of the recording segment and the importance parameter of the heartbeat segment.
Optionally, this step comprises several sub-steps as follows:
1. and determining the fourth parameter as the importance parameter of the travel segment in response to the importance parameter of the recording segment being the fourth parameter.
If the importance parameter of the recording segment is the fourth parameter, the recording segment is a silent segment, and the importance parameter of the heartbeat segment does not need to be superposed.
2. And in response to the fact that the importance parameter of the recording section is not the fourth parameter, determining the sum of the importance parameter of the recording section and the importance parameter of the heartbeat section as the importance parameter of the journey section.
If the importance parameter of the recording segment is not the fourth parameter, it indicates that the recording segment is not a silent segment, and the importance parameter of the heartbeat segment needs to be considered, and the sum of the importance parameter of the recording segment and the importance parameter of the heartbeat segment is determined as the importance parameter of the trip segment. Each trip segment corresponds to a respective recording segment and heartbeat segment, and the importance parameter of each recording segment and heartbeat segment may be different, and therefore, the importance parameter of each trip segment may also be different, that is, the importance level of each trip segment during travel is different.
In a possible implementation manner, the recorded data includes recorded data of the first user and the second user during the trip, and the heartbeat data includes first heartbeat data corresponding to the first user and second heartbeat data corresponding to the second user.
At this time, the computer device may determine a sum of the importance parameters of the recording segment, the first heartbeat segment corresponding to the first heartbeat data, and the second heartbeat segment corresponding to the second heartbeat data as the importance parameter of the trip segment.
Optionally, after the computer device correspondingly stores the respective importance parameters of the recording segment and the n travel segments in the n travel segments, the following steps may be further performed:
firstly, detecting the importance parameter of the travel segment at preset time intervals.
For example, the importance parameter of the trip segment is detected every day.
And secondly, in response to the fact that the importance parameter of the travel segment meets the deletion condition, deleting the recording segment in the travel segment and the importance parameter of the travel segment.
Alternatively, the deletion condition is that the importance parameter of the travel segment is 0. And when the importance parameter of the travel segment is 0, deleting the recording segment in the travel segment and the importance parameter of the travel segment, and releasing the space.
And thirdly, updating the importance parameter of the travel segment in response to the fact that the importance parameter of the travel segment does not meet the deletion condition.
Optionally, when the importance parameter of the travel segment is not 0, determining the difference between the importance parameter of the travel segment and 1 as the updated importance parameter of the travel segment.
In a possible implementation manner, when the updated importance parameter of the travel segment meets the deletion condition, the recording segment in the travel segment and the importance parameter of the travel segment are deleted, so that deletion does not need to be performed in the next detection, and the deletion efficiency is improved.
In the exemplary embodiment, the description will be given taking as an example that the heartbeat data includes respective heartbeat data of the passenger and the driver, and the importance parameter is a weight. As shown in fig. 4, the recording segment weight, the driver heartbeat segment weight, and the passenger heartbeat segment weight are correlated in time order. Detecting whether the recording segment is a silent segment; if the recording segment is not a silent segment, overlapping the 3 weights to obtain a final weight; and if the recording segment is a silent segment, the heartbeat segment weight is not superposed. And correspondingly storing the recording segments and the final weights. Checking the weight of the trip segment every day; if the weight of the travel segment is 0, deleting the recording segment and releasing the space; if the weight of the travel segment is not 0, the weight is set to-1, and the daily check of the weight of the travel segment is performed again.
To sum up, in the technical scheme provided by the embodiment of the application, the recording segments with different importance parameters are stored according to different strategies, so that the storage space can be optimized, the time that unimportant recording segments occupy the storage space is shortened, and the storage time of the important recording segments is prolonged.
Alternatively, as shown in fig. 5, the computer device calculates the importance parameter of the recording segment by the following substeps:
In an embodiment of the application, the energy value is used for characterizing the energy of an audio signal comprised by the recording segment. Alternatively, the sum of the squared values of each audio signal in the recording segment is determined as the energy value of the recording segment.
For example, if there are 3 recording segments, and the energy value of each recording segment is 20, 30, and 40, respectively, then the following formula is used: the average energy value of the above 3 recorded segments was obtained as (20+30+40)/3 ═ 30.
In a possible implementation, step 503 comprises the following substeps:
step 503a, in response to that the energy value belongs to the first value range, determining the first parameter as an importance parameter of the recording segment.
The first range of values includes a range of average energy values above a first predetermined multiple. Optionally, the first preset multiple is 120%, that is, the first value range includes an average energy value higher than 120%, and the first parameter is 4. When the energy value is higher than 120% of the average energy value, 4 is determined as the importance parameter of the recording section.
For example, a recording segment whose energy value belongs to a first range of values may be referred to as a high-energy segment.
Step 503b, in response to that the energy value belongs to the second value range, determining the second parameter as the importance parameter of the recording segment.
The second value range includes a range from the average energy value of the second preset multiple to the average energy value of the first preset multiple. Optionally, the second preset multiple is 80%, that is, the second value ranges from 80% of the average energy value to 120% of the average energy value, and the second parameter is 3. When the energy value belongs to 80% of the average energy value to 120% of the average energy value, 3 is determined as the importance parameter of the recording segment.
For example, the recording segments with energy values belonging to the second range of values may be referred to as average energy segments.
Step 503c, in response to that the energy value belongs to the third value range, determining the third parameter as the importance parameter of the recording segment.
The third value range includes a range from the average energy value of the third preset multiple to the average energy value of the second preset multiple. Optionally, the third preset multiple is 10%, that is, the third value ranges from 10% of the average energy value to 80% of the average energy value, and the third parameter is 2. When the energy value belongs to 10% of the average energy value to 80% of the average energy value, 2 is determined as the importance parameter of the recording segment.
For example, a recording segment whose energy value belongs to the third range of values may be referred to as a low energy segment.
The fourth range of values includes ranges of average energy values below a third predetermined multiple. Optionally, the fourth value range is less than 10% of the average energy value, and the fourth parameter is 1. When the energy value is less than 10% of the average energy value, 1 is determined as the importance parameter of the recording segment.
For example, a recording segment with an energy value in the fourth range of values may be referred to as a silent segment.
Alternatively, as shown in fig. 6, the computer device calculates the importance parameter of the heartbeat segment by the following sub-steps:
Optionally, the heartbeat prediction model uses a linear regression algorithm. Modeling the heartbeat from the first heartbeat segment, and predicting the heartbeat number of the next heartbeat segment by using a linear regression algorithm.
Optionally, the fourth preset multiple is 105%, and when the real heartbeat value of the m +1 th heartbeat segment is greater than 105% of the predicted heartbeat value, it is determined that the heartbeat corresponding to the m +1 th heartbeat segment is accelerated. It should be noted that, in a possible implementation manner, when the true heartbeat value of the m +1 th heartbeat segment rises by more than 5% of the predicted heartbeat value, it is determined that the heartbeat corresponding to the m +1 th heartbeat segment is accelerated.
Optionally, the fifth preset multiple is 95%, and when the true heartbeat value of the (m + 1) th heartbeat segment is less than 95% of the predicted heartbeat value, it is determined that the heartbeat of the (m + 1) th heartbeat segment corresponds to the heartbeat flat-beat. It should be noted that, in a possible implementation manner, when the true heartbeat value of the m +1 th heartbeat segment drops by more than 5% of the predicted heartbeat value, it is determined that the heartbeat of the m +1 th heartbeat segment corresponds to the heartbeat flat.
It should be noted that, when the real heartbeat value of the (m + 1) th heartbeat segment is between the predicted heartbeat value of the fifth preset multiple and the predicted heartbeat value of the fourth preset multiple, it is determined that the heartbeat corresponding to the (m + 1) th heartbeat segment is maintained. The heartbeat maintains a corresponding importance parameter may be 0.
The heartbeat jitter comprises heartbeat segments accelerated to be between heartbeat horizontality, and the (m + 1) th heartbeat segment belongs to the heartbeat jitter. Optionally, an average value of true solid beat values of the heartbeat segment between the heartbeat quickening and the heartbeat smoothing is calculated to obtain an average heartbeat value of the heartbeat jitter. For example, assuming that the heartbeat jitter includes 4 heartbeat segments, an average value of true solid heartbeat values of the 4 heartbeat segments is calculated, so as to obtain an average heartbeat value of the heartbeat jitter.
And step 605, calculating the average value of the true solid jump values of the n heartbeat segments to obtain the overall average heartbeat value.
Assuming that there are 5 heartbeat segments, and the true solid beat value of each heartbeat segment is 30, 50, 40, 45, and 55, respectively, the overall average heartbeat value is (30+50+40+45+55)/5 ═ 44.
And 606, determining the importance parameter of the (m + 1) th heartbeat segment according to the average heartbeat value, the overall average heartbeat value and the second parameter endowing rule.
Optionally, step 506 includes several sub-steps as follows:
Optionally, the sixth preset multiple is 110%, the fifth parameter is 2, and when the average heartbeat value is greater than the overall average heartbeat value of 110%, 2 is determined as the importance parameter of the m +1 th heartbeat segment.
And step 606b, in response to the average heartbeat value being smaller than the overall average heartbeat value of the sixth preset multiple, determining the sixth parameter as the importance parameter of the (m + 1) th heartbeat segment.
Optionally, the sixth parameter is 1, and when the average heartbeat value is less than the overall average heartbeat value of 110%, 1 is determined as the importance parameter of the m +1 th heartbeat segment.
It should be noted that the importance parameter of all heartbeat segments included in the heartbeat jitter is the same.
The following are embodiments of the apparatus of the present application that may be used to perform embodiments of the method of the present application. For details which are not disclosed in the embodiments of the apparatus of the present application, reference is made to the embodiments of the method of the present application.
Referring to fig. 7, a block diagram of a data storage device according to an embodiment of the present application is shown. The apparatus 700 has functions of implementing the above data storage method examples, and the functions may be implemented by hardware, or by hardware executing corresponding software. The apparatus 700 may be the computer device described above, or may be provided on a computer device. The apparatus 700 may include: a data acquisition module 710, a data splitting module 720, a parameter calculation module 730, and a data storage module 740.
A data obtaining module 710, configured to obtain travel data during travel, where the travel data includes recorded sound data and heartbeat data;
a data splitting module 720, configured to split the travel data into n travel segments, where the travel segments include a recording segment corresponding to the recording data and a heartbeat segment corresponding to the heartbeat data, and n is a positive integer;
a parameter calculating module 730, configured to calculate an importance parameter of each of the n trip segments, where the importance parameter is used to represent an importance degree of the trip segment during the trip;
the data storage module 740 is configured to correspondingly store the respective importance parameters of the recording segment and the n travel segments in the n travel segments.
In summary, in the technical scheme provided in the embodiment of the present application, by acquiring the travel data during travel, where the travel data includes recording data and heartbeat data, the travel data is split into n travel segments, respective importance parameters of the n travel segments are calculated, and the recording segments in the travel segments and the importance parameters of the travel segments are correspondingly stored. According to the embodiment of the application, the taxi taking recording fragments are evaluated from two dimensions of heartbeat and sound, and the importance degrees of different fragments are distinguished. And the recording fragment and the importance parameter are correspondingly stored, so that a user can conveniently learn the importance degree of the recording fragment.
Optionally, the parameter calculating module 730 includes: a first parameter calculation unit, a second parameter calculation unit, and a third parameter calculation unit (not shown in the figure).
The first parameter calculating unit is used for calculating the importance parameter of the recording fragment;
the second parameter calculating unit is used for calculating the importance parameter of the heartbeat segment;
and the third parameter calculating unit is used for determining the importance parameter of the travel segment according to the importance parameter of the recording segment and the importance parameter of the heartbeat segment.
Optionally, the first parameter calculating unit includes: an energy calculation subunit, an average value operator unit and a parameter determination subunit (not shown in the figure).
An energy calculating subunit, configured to calculate an energy value of the recording segment, where the energy value is used to characterize energy of an audio signal included in the recording segment;
the average value operator unit is used for calculating the average value of the energy values of the n recording segments to obtain the average energy value of the n recording segments;
and the parameter determining subunit is used for determining the importance parameter of the sound recording segment according to the energy value, the average energy value and a first parameter endowing rule.
Optionally, the parameter determining subunit is configured to:
determining a first parameter as an importance parameter of the recording segment in response to the energy value belonging to a first value range, the first value range including a range of the average energy value higher than a first preset multiple;
determining a second parameter as an importance parameter of the recording segment in response to the energy value belonging to a second value range, wherein the second value range comprises a range from the average energy value of a second preset multiple to the average energy value of a first preset multiple;
determining a third parameter as an importance parameter of the recording segment in response to the energy value belonging to a third value range, the third value range including a range from the average energy value of a third preset multiple to the average energy value of a second preset multiple;
and determining a fourth parameter as the importance parameter of the recording segment in response to the energy value belonging to a fourth value range, wherein the fourth value range comprises a range of the average energy value lower than a third preset multiple.
Optionally, the second parameter calculating unit includes: a heartbeat prediction subunit, a heartbeat detection subunit, a heartbeat calculation subunit, and a parameter calculation subunit (not shown in the figure).
The heartbeat prediction subunit is used for inputting the real heartbeat value of the mth heartbeat segment into the heartbeat prediction model to obtain the predicted heartbeat value of the (m + 1) th heartbeat segment, wherein m is a positive integer less than or equal to n;
the heartbeat detection subunit is configured to determine that a heartbeat of the (m + 1) th heartbeat segment is accelerated in response to the actual heartbeat value of the (m + 1) th heartbeat segment being greater than the predicted heartbeat value of a fourth preset multiple;
the heartbeat detection subunit is further configured to determine that the heartbeat flat is corresponding to the (m + 1) th heartbeat segment in response to the predicted heartbeat value of the (m + 1) th heartbeat segment being smaller than a fifth preset multiple;
the heartbeat calculating subunit is configured to calculate an average heartbeat value of heartbeat jitter, where the heartbeat jitter includes a heartbeat segment between the heartbeat acceleration and the heartbeat plateau, and the m +1 th heartbeat segment belongs to the heartbeat jitter;
the heartbeat calculating subunit is further configured to calculate an average value of the true solid heartbeat values of the n heartbeat segments, so as to obtain an overall average heartbeat value;
and the parameter calculating subunit is configured to determine an importance parameter of the (m + 1) th heartbeat segment according to the average heartbeat value, the overall average heartbeat value, and a second parameter assignment rule.
Optionally, the parameter calculating subunit is configured to:
determining a fifth parameter as an importance parameter of the m +1 th heartbeat segment in response to the average heartbeat value being greater than the overall average heartbeat value by a sixth preset multiple;
determining a sixth parameter as the importance parameter of the m +1 st heartbeat segment in response to the average heartbeat value being less than the overall average heartbeat value by a sixth preset multiple.
Optionally, the third parameter calculating unit is configured to:
in response to the importance parameter of the recording segment being a fourth parameter, determining the fourth parameter as the importance parameter of the travel segment;
in response to the importance parameter of the recording segment not being the fourth parameter, determining the sum of the importance parameter of the recording segment and the importance parameter of the heartbeat segment as the importance parameter of the travel segment.
Optionally, the recorded data includes recorded data of a first user and a second user during the trip, and the heartbeat data includes first heartbeat data corresponding to the first user and second heartbeat data corresponding to the second user;
the third parameter calculating unit is configured to:
and determining the sum of the importance parameters of the recording fragment, the first heartbeat fragment corresponding to the first heartbeat data and the second heartbeat fragment corresponding to the second heartbeat data as the importance parameter of the trip fragment.
Optionally, the apparatus 700 further includes: a parameter detection module, a segment deletion module and a parameter update module (not shown in the figure).
The parameter detection module is used for detecting the importance parameter of the travel segment at intervals of preset time;
the segment deleting module is used for responding to the condition that the importance parameter of the travel segment meets the deleting condition, and deleting the recording segment in the travel segment and the importance parameter of the travel segment;
and the parameter updating module is used for responding to the condition that the importance parameter of the travel segment does not meet the deletion condition, and updating the importance parameter of the travel segment.
It should be noted that, when the apparatus provided in the foregoing embodiment implements the functions thereof, only the division of the functional modules is illustrated, and in practical applications, the functions may be distributed by different functional modules according to needs, that is, the internal structure of the apparatus may be divided into different functional modules to implement all or part of the functions described above. In addition, the apparatus and method embodiments provided by the above embodiments belong to the same concept, and specific implementation processes thereof are described in the method embodiments for details, which are not described herein again.
Referring to fig. 8, a block diagram of a computer device according to an embodiment of the present application is shown. The computer device is used for implementing the data storage method provided in the above embodiment. Specifically, the method comprises the following steps:
the computer apparatus 800 includes a CPU (Central Processing Unit) 801, a system Memory 804 including a RAM (Random Access Memory) 802 and a ROM (Read-Only Memory) 803, and a system bus 805 connecting the system Memory 804 and the Central Processing Unit 801. The computer device 800 also includes a basic I/O (Input/Output) system 806 that facilitates transfer of information between devices within the computer, and a mass storage device 807 for storing an operating system 813, application programs 814, and other program modules 812.
The basic input/output system 806 includes a display 808 for displaying information and an input device 809 such as a mouse, keyboard, etc. for user input of information. Wherein the display 808 and the input device 809 are connected to the central processing unit 801 through an input output controller 810 connected to the system bus 805. The basic input/output system 806 may also include an input/output controller 810 for receiving and processing input from a number of other devices, such as a keyboard, mouse, or electronic stylus. Similarly, input-output controller 810 also provides output to a display screen, a printer, or other type of output device.
The mass storage device 808 is connected to the central processing unit 801 through a mass storage controller (not shown) connected to the system bus 805. The mass storage device 807 and its associated computer-readable media provide non-volatile storage for the computer device 800. That is, the mass storage device 807 may include a computer-readable medium (not shown) such as a hard disk or CD-ROM (Compact disk Read-Only Memory) drive.
Without loss of generality, the computer-readable media may comprise computer storage media and communication media. Computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Computer storage media includes RAM, ROM, EPROM (Erasable Programmable Read-Only Memory), EEPROM (Electrically Erasable Programmable Read-Only Memory), flash Memory or other solid state Memory technology, CD-ROM, DVD (Digital Video Disc) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices. Of course, those skilled in the art will appreciate that the computer storage media is not limited to the foregoing. The system memory 804 and mass storage 807 described above may be collectively referred to as memory.
According to various embodiments of the present application, the computer device 800 may also operate as a remote computer connected to a network via a network, such as the Internet. That is, the computer device 800 may be connected to the network 812 through the network interface unit 811 coupled to the system bus 805, or may be connected to other types of networks or remote computer systems (not shown) using the network interface unit 811.
In an exemplary embodiment, a computer-readable storage medium is also provided, in which a computer program is stored, which is loaded and executed by a processor to implement the above-mentioned method.
In an exemplary embodiment, a computer program product is also provided for implementing the above-mentioned method when the computer program product is executed by a processor.
It should be understood that reference to "a plurality" herein means two or more. Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the application disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It will be understood that the present application is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.
Claims (12)
1. A method of data storage, the method comprising:
acquiring travel data during travel, wherein the travel data comprises recorded data and heartbeat data;
splitting the travel data into n travel segments, wherein the travel segments comprise a recording segment corresponding to the recording data and a heartbeat segment corresponding to the heartbeat data, and n is a positive integer;
calculating an importance parameter of each of the n travel segments, wherein the importance parameter is used for representing the importance degree of the travel segment during the travel;
and correspondingly storing the respective importance parameters of the recording segments and the n travel segments in the n travel segments.
2. The method of claim 1, wherein said calculating the importance parameter for each of the n travel segments comprises:
calculating an importance parameter of the recording fragment;
calculating an importance parameter of the heartbeat segment;
and determining the importance parameter of the travel segment according to the importance parameter of the recording segment and the importance parameter of the heartbeat segment.
3. The method of claim 2, wherein the calculating the importance parameter of the recording segment comprises:
calculating an energy value of the recording segment, wherein the energy value is used for representing the energy of an audio signal included in the recording segment;
calculating the average value of the energy values of the n recording segments to obtain the average energy value of the n recording segments;
and determining the importance parameter of the recording fragment according to the energy value, the average energy value and a first parameter assignment rule.
4. The method of claim 3, wherein determining the importance parameter of the audio recording segment according to the energy value, the average energy value and a first parameter assignment rule comprises:
determining a first parameter as an importance parameter of the recording segment in response to the energy value belonging to a first value range, the first value range including a range of the average energy value higher than a first preset multiple;
determining a second parameter as an importance parameter of the recording segment in response to the energy value belonging to a second value range, wherein the second value range comprises a range from the average energy value of a second preset multiple to the average energy value of a first preset multiple;
determining a third parameter as an importance parameter of the recording segment in response to the energy value belonging to a third value range, the third value range including a range from the average energy value of a third preset multiple to the average energy value of a second preset multiple;
and determining a fourth parameter as the importance parameter of the recording segment in response to the energy value belonging to a fourth value range, wherein the fourth value range comprises a range of the average energy value lower than a third preset multiple.
5. The method of claim 2, wherein the calculating the importance parameter of the heartbeat segment comprises:
inputting the real heartbeat value of the mth heartbeat segment into a heartbeat prediction model to obtain the predicted heartbeat value of the (m + 1) th heartbeat segment, wherein m is a positive integer less than or equal to n;
responding to the fact that the real heartbeat value of the (m + 1) th heartbeat segment is larger than the predicted heartbeat value of a fourth preset multiple, and determining that the heartbeat corresponding to the (m + 1) th heartbeat segment is accelerated;
responding to the fact that the real heartbeat value of the (m + 1) th heartbeat segment is smaller than the predicted heartbeat value of a fifth preset multiple, and determining that the heartbeat of the (m + 1) th heartbeat segment corresponds to heartbeat smoothness;
calculating an average heartbeat value of heartbeat jitter, wherein the heartbeat jitter comprises heartbeat segments of which the heartbeat is accelerated to the heartbeat plateau, and the m +1 th heartbeat segment belongs to the heartbeat jitter;
calculating the average value of the true solid jump values of the n heartbeat segments to obtain an overall average heartbeat value;
and determining the importance parameter of the (m + 1) th heartbeat segment according to the average heartbeat value, the overall average heartbeat value and a second parameter endowing rule.
6. The method according to claim 5, wherein determining the importance parameter of the m +1 th heartbeat segment according to the average heartbeat value, the overall average heartbeat value and a second parameter assignment rule comprises:
determining a fifth parameter as an importance parameter of the m +1 th heartbeat segment in response to the average heartbeat value being greater than the overall average heartbeat value by a sixth preset multiple;
determining a sixth parameter as the importance parameter of the m +1 st heartbeat segment in response to the average heartbeat value being less than the overall average heartbeat value by a sixth preset multiple.
7. The method according to any one of claims 2 to 6, wherein the determining the importance parameter of the travel segment according to the importance parameter of the recording segment and the importance parameter of the heartbeat segment comprises:
in response to the importance parameter of the recording segment being a fourth parameter, determining the fourth parameter as the importance parameter of the travel segment;
in response to the importance parameter of the recording segment not being the fourth parameter, determining the sum of the importance parameter of the recording segment and the importance parameter of the heartbeat segment as the importance parameter of the travel segment.
8. The method of claim 7, wherein the recorded data comprises recorded data of a first user and a second user during the trip, and the heartbeat data comprises first heartbeat data corresponding to the first user and second heartbeat data corresponding to the second user;
the determining the sum of the importance parameter of the recording segment and the importance parameter of the heartbeat segment as the importance parameter of the travel segment includes:
and determining the sum of the importance parameters of the recording fragment, the first heartbeat fragment corresponding to the first heartbeat data and the second heartbeat fragment corresponding to the second heartbeat data as the importance parameter of the trip fragment.
9. The method according to any one of claims 1 to 6, wherein after correspondingly storing the importance parameters of the recording segments of the n travel segments and the n travel segments, the method further comprises:
detecting the importance parameter of the travel segment at preset time intervals;
in response to that the importance parameter of the travel segment meets a deletion condition, deleting the recording segment in the travel segment and the importance parameter of the travel segment;
and updating the importance parameter of the travel segment in response to the importance parameter of the travel segment not meeting the deletion condition.
10. A data storage device, characterized in that the device comprises:
the data acquisition module is used for acquiring travel data during travel, and the travel data comprises recording data and heartbeat data;
the data splitting module is used for splitting the travel data into n travel segments, wherein the travel segments comprise a recording segment corresponding to the recording data and a heartbeat segment corresponding to the heartbeat data, and n is a positive integer;
a parameter calculating module, configured to calculate an importance parameter of each of the n trip segments, where the importance parameter is used to represent an importance degree of the trip segment during the trip;
and the data storage module is used for correspondingly storing the respective importance parameters of the sound recording segments and the n journey segments in the n journey segments.
11. A computer device, characterized in that it comprises a processor and a memory, in which a computer program is stored, which computer program is loaded and executed by the processor to implement the data storage method according to any one of claims 1 to 9.
12. A computer-readable storage medium, in which a computer program is stored, which computer program is loaded and executed by a processor to implement a data storage method as claimed in any one of claims 1 to 9.
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