CN109002514B - Method and device for pushing service in due time - Google Patents
Method and device for pushing service in due time Download PDFInfo
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- CN109002514B CN109002514B CN201810726428.2A CN201810726428A CN109002514B CN 109002514 B CN109002514 B CN 109002514B CN 201810726428 A CN201810726428 A CN 201810726428A CN 109002514 B CN109002514 B CN 109002514B
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Abstract
The invention provides a method and a device for pushing service timely, wherein the method for pushing service timely is applied to intelligent wearable equipment and comprises the following steps: acquiring a first time point of departure of a user on the current day; and pushing the intelligent service in time according to a preset rule according to the first time point of departure on the current day. According to the method and the device for pushing the service timely, the time of the user going out is obtained through the obtaining module in the intelligent wearable device, so that before the user goes out, a piece of service information such as weather forecast, traffic conditions and corresponding cautions is intelligently pushed in advance, the problems that the user forgets to take an umbrella in rainy days, high-temperature weather forgets sun-proof preparation, the selection of the traffic route going out is unreasonable and the like are solved, and the effect of improving the intellectualization of the wearable device is achieved.
Description
Technical Field
The invention relates to the field of electronic equipment, in particular to a method and a device for pushing services timely.
Background
The intelligent wearable device is a general term for intelligently designing daily wearing and developing wearable devices by applying a wearable technology. Along with the rapid development of mobile internet, the popularization of big data cloud calculation and the development of chip are high performance low-power consumption more and more, people's the field of vision is walked into gradually to the smart machine, and the industry of intelligence wearing equipment is commercialized constantly, and wearable smart machine such as intelligent wrist-watch, sports meter step bracelet, miniature projector glasses, intelligent dress is more the short supply and short supply, and "chip + technique + artificial intelligence" uses the wrist-watch as an example roughly three types: the existing intelligent watch basically has a plurality of functions such as voice broadcasting, alarm clock, weather inquiry, calendar, step counting data, short-distance wireless communication, heart rate measurement, dial plate and the like, but the functions can be realized only by manually operating inquiry or clicking an interface, certain defects exist in intellectualization, and the real intelligent times application cannot be embodied.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a method and a device for pushing service timely, and the method and the device solve the problem that the existing intelligent wearable equipment cannot actively push service timely according to the requirements of users.
In order to solve the above problems, the present invention provides a method for timely pushing a service, which is applied to an intelligent wearable device, and includes:
acquiring a first time point of departure of a user on the current day;
and pushing the intelligent service in time according to a preset rule according to the first time point of departure on the current day.
Further, the step of obtaining the first time point of departure of the current day of the user includes:
acquiring a first time point of departure of a user on each statistical day in a specified statistical day;
and acquiring the first time of the user's current day according to the first time of the user's current day.
Further, before the step of obtaining the first time point of the exit of each statistical day of the user in the specified statistical day, the method comprises the following steps:
collecting and storing the steps of continuous walking of a plurality of groups of users per minute in a specified statistical day;
and calculating the average steps of the user walking per minute according to the steps of the multiple groups of the user continuously walking per minute.
Further, the step of calculating the average number of steps the user walks per minute from the plurality of groups of steps the user continuously walks per minute includes:
removing the maximum value and the minimum value of the steps of continuously walking every minute of a plurality of groups of users;
and calculating the average steps of the user walking per minute according to the residual data after the maximum value and the minimum value are removed.
Further, the step of obtaining the first time point of the user's exit on each statistical day within the specified statistical day includes:
counting time points corresponding to the average walking steps per minute when the user continuously walks for the first time for one minute every counting day within a specified counting day;
and the time points are in one-to-one correspondence to the first time point of the exit of each statistical day.
Further, the step of obtaining the first time point of departure of the user on the current day according to the first time point of departure on each statistical day includes:
acquiring a specified day in a specified statistical day corresponding to the current day;
setting the first time of going out of the appointed day as the first time of going out of the current day; or the like, or, alternatively,
calculating the average time point value of the first time exit time point of each statistical day;
the average time point value is set as the first time point of departure on the current day.
Further, according to the first time of going out time point of present day according to the step of propelling movement intelligent service in good time of presetting the rule, include:
and calculating the time S (n +1) of pushing the intelligent service on the current day according to the S (n +1) ═ G-x1, wherein G is the first time departure time point of the current day, and x1 is a first preset time period away from the first time departure time point of the current day.
Further, the step of obtaining the first time point of departure of the current day of the user includes:
judging whether the current day is set with alarm clock time or not;
if the alarm clock time is set, judging whether the time difference between the alarm clock time and the average time point value of the first time point of the user's exit in each statistical day in the specified statistical day is within a preset time period;
if the time is within the preset time period, the specified time after the alarm clock time is taken as the first time out time point of the current day, and if not, an instruction for acquiring the first time out time point of the current day according to the first time out time point of each statistical day is generated.
Further, according to the first time of going out time point of present day according to the step of propelling movement intelligent service in good time of presetting the rule, include:
and if the specified time after the alarm clock time is taken as the first time point of departure of the current day, calculating the time S (n +1) of pushing the intelligent service on the current day according to the S (n +1) ═ T (n +1) + x2, wherein T (n +1) is the alarm clock time, and x2 is a second preset time period after the alarm clock time passes.
In order to implement the method for timely pushing the service provided by the invention, the invention also provides a device for timely pushing the service, which comprises the following steps:
the acquisition module is used for acquiring the first time point of departure of the current day of the user;
and the pushing module is used for timely pushing the intelligent service according to the first time of departure time point of the current day and a preset rule.
According to the method and the device for pushing the service timely, the time of the user going out is obtained through the obtaining module in the intelligent wearable device, so that before the user goes out, a piece of service information such as weather forecast, traffic conditions and corresponding cautions is intelligently pushed in advance, the problems that the user forgets to take an umbrella in rainy days, high-temperature weather forgets sun-proof preparation, the selection of the traffic route going out is unreasonable and the like are solved, and the effect of improving the intellectualization of the wearable device is achieved.
Drawings
FIG. 1 is a flow chart illustrating steps of an embodiment of a method for push services in time;
FIG. 2 is a schematic diagram of an embodiment of a timely push service apparatus;
FIG. 3 is a schematic diagram of an acquisition module in an embodiment of a device for timely push services;
FIG. 4 is a schematic diagram of an acquisition module in another embodiment of a device for timely pushing services;
FIG. 5 is a schematic diagram of a first computing unit in an embodiment of an apparatus for push services in due time;
FIG. 6 is a schematic diagram of a first obtaining unit in an embodiment of a timely push service apparatus;
FIG. 7 is a schematic diagram of a first selecting unit in an embodiment of a timely push service apparatus;
FIG. 8 is a schematic diagram of a first selecting unit in another embodiment of a timely push service apparatus;
FIG. 9 is a diagram illustrating a push module in an embodiment of a device for timely pushing services;
FIG. 10 is a schematic diagram of an acquisition module in a third embodiment of a timely push service apparatus;
fig. 11 is a schematic structural diagram of a push module in another embodiment of a device for timely pushing services.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to the same or similar elements throughout the different views unless otherwise specified, and wherein the methods described in the exemplary embodiments below do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
The terminology used in the present disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. As used in this disclosure and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
As shown in fig. 1, the method for timely pushing service applied to the intelligent wearable device includes the following steps:
s1, acquiring the first time point of departure of the user on the current day;
and S2, timely pushing the intelligent service according to the first time of departure time point of the current day and a preset rule.
In the step S1, a first time point of departure of the current day of the user is obtained through a specific intelligent wearable device, where the first time point of departure of the current day includes a first time point of departure rule derived from a plurality of statistical days of the past day or a first time of departure derived from a current day alarm time;
in the step S2, the time point of pushing the intelligent service according to the preset rule is selected (for example, the time point of the first departure of a plurality of statistical days of the previous day is selected as the basis), the time of pushing the service before the departure is preset, and an intelligent service message, such as weather forecast, traffic condition, and corresponding notice, is pushed in advance according to the preset time, so that the problems that the user forgets to take an umbrella in rainy days, forgets sun protection preparation in high-temperature weather, and the selection of the departure traffic route is unreasonable are solved, and the intelligentization of the wearable device is improved.
In one embodiment, step S1 includes:
s11, acquiring the first time point of departure of each statistical day of the user in the specified statistical day;
and S12, acquiring the first time of the user 'S current date according to the first time of the user' S current date.
In step S11, the intelligent wearable device obtains the activity time point in the specified statistical day and the step-counting data generated during the activity, so as to obtain a data basis for determining the time law of the user' S departure.
In this embodiment, a number of days before and next to the current day is selected as a specified statistical day; the statistical day period is set according to the user requirements and comprises one week or one month. The storage and update of the data on the statistical day are determined according to the statistical period of the user data, for example, if n days are taken as the period, the data collected on the n +1 day is overwritten by the data stored on the 1 st day by the n +1 day.
In step S12, the first time point of departure on the current day of the user is inferred and obtained based on the first time point of departure on each statistical day of the user on the statistical day.
In one embodiment, before step S11, the method includes:
s1a, collecting and storing the steps of continuous walking of a plurality of groups of users per minute in a specified statistical day;
s1b, calculating the average steps of the user walking per minute according to the steps of the multiple groups of the user continuously walking per minute.
In the step S1a, a plurality of groups of steps of continuous walking per minute of the user may be collected by the acceleration sensor and stored by the storage device, so as to obtain a plurality of groups of statistical data bases;
in the above step S1b, the average number of steps taken by the user per minute is calculated according to the number of steps taken by the user per minute so that the calculated value of the average number of steps taken by the user per minute is as close as possible to the actual value of the average number of steps taken by the user per minute.
In one embodiment, step S1b includes:
s1b1, removing the maximum value and the minimum value of the steps of continuous walking per minute of a plurality of groups of users;
s1b2, and calculating the average number of steps of the user walking per minute according to the residual data after the maximum value and the minimum value are removed.
In the step S1b1, removing the maximum and minimum values of the multiple groups of steps that the user continuously walks per minute, excluding abnormal walking speed under special conditions, and obtaining the general rule of the steps that the user continuously walks per minute;
in step S1b2, the average number of steps taken by the user per minute is calculated based on the remaining data with the maximum and minimum values removed, so as to obtain a calculated value close to the actual average number of steps taken by the user per minute.
In one embodiment, step S11 includes:
s111, counting time points corresponding to the average walking steps per minute when the user walks for the first time for one minute continuously in each counting day in the specified counting day;
and S112, corresponding the time points corresponding to the average step number of walking per minute after walking for one minute continuously for the first time on each statistical day to be the first time points of going out on each statistical day.
And counting the time points when the user continuously walks for one minute for the first time every day in the appointed counting day and reaches the average walking steps per minute of the user, and corresponding the time points to the time points of the first time of departure in each counting day. This may preclude the possibility of the user walking for a short distance at home with the smart-wearable device in the middle of getting up at night or getting up in the morning. The continuous one minute can be self-defined and adjusted according to the action speed of the user.
In one embodiment, step S12 includes:
s121, acquiring a specified day in a specified statistical day corresponding to the current day;
and S122, setting the first time point of departure of the appointed day as the first time point of departure of the current day.
In step S121, after the acceleration sensor acquires the respective departure time points corresponding to the user on each day within the specified statistical day in step S11, the specified day corresponding to the current day within the specified statistical day is picked up. In this embodiment, the corresponding specified day corresponds to the current day cycle, and if the specified statistical cycle is one month, if the current day is 5 months and 1 day, the specified day in the specified statistical day corresponding to the current day is 4 months and 1 day; if the specified statistical period is one week, if the current day is Monday, the specified day in the specified statistical day corresponding to the current day is last Monday.
In step S122, the first departure time point on the specified day is set as the first departure time point on the current day. The embodiment is more suitable for users with regular time intervals when going out.
In another alternative embodiment, step S12 includes:
s123, calculating an average time point value of the first time exit time point of each statistical day;
and S124, setting the average time point value as the first time going-out time point of the current day.
In the above steps S123 and S124, the average time point value of the first time point of departure on each day in the statistical day is set as the first time point of departure on the current day, and the first time points of departure on each day in the adjacent days (i.e. the statistical day) are averaged together to obtain the approximate time point of departure under the normal condition of the user, and the first time point of departure on the current day is estimated based on the average time point, so as to improve the timeliness of the push service.
In this embodiment, it is preferable to set a week as a statistical period, and the calculation manner of the statistical average exit time point value in the week includes a comprehensive calculation in monday to friday and a calculation in weekday in monday to friday and a separate calculation in holiday in saturday to sunday. Therefore, the influence of the user on the average time point value of the first time of the business day when the user goes out late on weekends can be avoided.
The embodiment is more suitable for users with relatively close time of going out in adjacent working days.
In one embodiment, step S2 includes:
calculating the time S (n +1) of pushing the smart service on the current day according to the S (n +1) ═ G-x1, wherein G is the first time point of departure of the current day, and x1 is a first preset time period away from the first time point of departure of the current day.
In this embodiment, a first preset time period x1 before the current time point of going out is x1 before the current time point of going out. The first preset time period can be customized according to user requirements, and in this embodiment, the value range of x2 is 5 to 20 minutes, preferably 10 minutes.
By pushing the service in advance according to the preset time x1 according to the acquired first time point of departure of the current day, the user is convenient to prepare before the departure.
In one embodiment, step S1 includes:
s13, judging whether the current day is set with alarm clock time;
s14, if alarm clock time is set, judging whether the difference between the alarm clock time and the average time point value of the first time point of the user' S exit on each statistical day in the specified statistical day is within a preset time period;
and S15, if the time is within the preset time period, taking the designated time after the alarm clock time as the first time point of the current day, and if not, generating an instruction for acquiring the first time point of the current day according to the first time point of the statistical days.
In step S13, it is determined whether the current day has an alarm time set, and a result of whether the alarm is set is obtained.
In the step S14, the first time point of departure of the user on each statistical day in the specified statistical day may be obtained, for example, by the following steps:
s141, collecting and storing the steps of continuously walking every minute of a plurality of groups of users in a specified statistical day;
s142, calculating the average walking steps per minute of the user according to the multiple groups of continuous walking steps per minute of the user;
s143, counting the time points corresponding to the average walking steps per minute when the user walks for the first time for one minute continuously in each counting day in the specified counting day;
and S144, corresponding the time points corresponding to the average step number of walking per minute after walking for one minute continuously for the first time on each statistical day to be the first time points of going out on each statistical day.
The preset time period is a deviation time range set according to the daily time rule requirement of the user for going out, the alarm clock in the range is defined to be the alarm clock with the prompting function for going out, and the influence on the judgment of the going out time point due to the setting of other alarm clocks of reminding types is avoided.
In step S15, if the time is within the deviation time range, the first exit time point on the current day is the designated time after the alarm time. The appointed time after the alarm clock time can be set according to the requirements of a user, for example, 15 minutes after the appointed alarm clock time is the first time point of going out of the current day;
in step S15, if not, generating an instruction to obtain the first time point of departure on the current day according to the first time point of departure on each statistical day, where the instruction includes that the alarm time is not set on the current day and the alarm time is set but the alarm time is not within the preset deviation time range, and all the instructions to obtain the first time point of departure on the current day according to the first time point of departure on each statistical day are generated. Whether the alarm clock is set and whether the alarm clock setting time meets a preset time period condition is judged according to the presetting of the current time point of going out on the day according to rules, so that the selection of the current time point of going out on the day according to the time point of going out on the day is determined, and the intelligent service push time point is more in line with the user requirements.
In one embodiment, step S2 includes:
if the specified time after the alarm clock time is taken as the current exit time point, calculating the time S (n +1) of pushing the intelligent service on the current day according to the S (n +1) ═ T (n +1) + x1, wherein T (n +1) is the alarm clock time, and x2 is a second preset time period after the alarm clock time;
setting x2 as a second preset time period after the alarm clock time passes, wherein the second preset time period represents that after the alarm clock time point, a user needs to prepare a certain time, if the user gets up in the morning and goes out after getting up for several minutes, service pushing is carried out after the alarm clock time and before going out, therefore, the second preset time period can be defined according to the user requirements, and the value range of x2 is smaller than the time difference from the alarm clock time to the time of going out. In this embodiment, x2 is in the range of 5 to 15 minutes, preferably 10 minutes. The service is pushed by acquiring the alarm time and pushing the service at the second preset time period x2 after the alarm time, so that the user is ready before going out.
As shown in fig. 2, in order to implement the method for timely pushing services provided by the present invention, the present invention further provides a device for timely pushing services, including:
the system comprises an acquisition module 1, a display module and a control module, wherein the acquisition module is used for acquiring a first time point of departure of a current day of a user;
and the pushing module 2 is used for timely pushing the intelligent service according to the first time of departure time point of the current day and a preset rule.
In this embodiment, the obtaining module 1 obtains the time point of the first exit of the current day of the user, and the pushing module 2 pushes an intelligent service message, such as weather forecast, traffic condition, and corresponding notice, in advance according to the time point of the first exit of the current day of the user obtained by the obtaining module 1, so as to solve the problems that the user forgets to take an umbrella in rainy days, the user forgets sun protection preparation in high-temperature weather, and the selection of the traffic route is unreasonable.
As shown in fig. 3, in an embodiment of the present invention, the obtaining module 1 includes:
a first obtaining unit 13, configured to obtain a first time point of departure of each statistical day of a user in a specified statistical day;
the first selecting unit 14 is configured to obtain a first time point of departure of the user on the current day according to the first time point of departure on each statistical day.
In this embodiment, the first obtaining unit 13 obtains the activity time point and the step counting data generated during the activity within the user-specified statistical day to obtain the data basis for determining the law of the user's time of going out. The first selecting unit 14 summarizes and acquires the first time point of the user's exit on the current day according to the data base of the user's exit time law.
As shown in fig. 4, in an embodiment of the present invention, the obtaining module 1 includes: an acquisition unit 11 and a first calculation unit 12.
The acquisition unit 11 is used for acquiring and storing the steps of continuous walking of a plurality of groups of users per minute in a specified statistical day;
the first calculation unit 12 is used to calculate the average number of steps the user walks per minute.
In the embodiment, a plurality of groups of steps of continuous walking per minute of a user are collected and stored through a collecting unit 11, and a plurality of groups of statistical data bases are obtained; the first calculation unit 12 calculates from the plurality of sets of the number of steps the user continuously walks per minute so that the calculated value of the average number of steps the user walks per minute is as close as possible to the true value of the average number of steps the user walks per minute.
As shown in fig. 5, in an embodiment of the present invention, the first calculating unit 12 includes:
a first selecting subunit 121, configured to remove the maximum value and the minimum value of the plurality of groups of steps that the user continuously walks per minute.
And a first calculating subunit 122, configured to calculate an average number of steps per minute taken by the user according to the remaining data obtained after removing the maximum value and the minimum value.
Removing the maximum value and the minimum value of the steps of continuous walking per minute of a plurality of groups of users, removing abnormal walking speed under special conditions, and obtaining the general rule of the steps of continuous walking per minute of the users; and calculating the average steps per minute of walking of the user according to the residual data after the maximum value and the minimum value are removed so as to obtain a calculated value close to the actual average steps per minute of walking of the user.
As shown in fig. 6, in an embodiment of the present invention, the first obtaining unit 13 includes:
the second calculating subunit 131 is configured to count time points corresponding to the average number of steps of walking per minute when the user walks for the first time continuously for one minute every counting day within the specified counting day;
and a second selecting subunit 132, configured to one-to-one correspond, as the first departure time point on each statistical day, the time point corresponding to the average number of steps taken by the user for the first continuous one minute on each statistical day and reaching the walking per minute within the specified statistical day.
Counting the time point when the user walks for the first time continuously for one minute every day within the specified counting day and reaches the average walking steps per minute of the user through the second calculating subunit 131; the first time point of the first exit of each statistical day is one-to-one corresponding to the first time point of the first exit of each statistical day by the second selecting subunit 132. This may preclude the user from getting up at midnight or getting up in the morning and walking a short distance at home with the wearing device.
As shown in fig. 7, in an embodiment of the present invention, the first selecting unit 14 includes:
a third selecting subunit 141, configured to obtain a specified day within a specified statistics day corresponding to the current day;
a fourth selecting subunit 142, configured to set the first time point of departure of the specified day as the first time point of departure of the current day.
In this embodiment, the time for calculating the average value of the multiple statistical sunrise time points is saved by directly selecting the departure time point corresponding to the specified day in the specified statistical day as the current sunrise time point through the third selecting subunit 141. The first departure time point of the specified day selected by the third selecting sub-unit 141 is set as the first departure time point of the current day by the fourth selecting sub-unit 142. The embodiment is more suitable for users with regular time intervals when going out.
In another alternative embodiment of the present invention, as shown in fig. 8, the first selecting unit 14 includes:
the third calculating subunit 143, is used for calculating the average time point value of the first time point of going out of every statistical day of users;
a fifth selecting sub-unit 144, further configured to set the average time point value as the first time point of departure on the current day.
The average time point value of the first time point of departure of each day in the counting day is set as the first time point of departure of the current day by the three calculating subunit 143, and the approximate time point of departure of the user in the normal condition is obtained by comprehensively averaging the first time points of departure of each day in the adjacent days (i.e. counting days). The average time point value is set as the first time point of departure of the current day by the fifth selecting sub-unit 144, so as to improve the timeliness of the push service. The embodiment is more suitable for users with relatively close time of going out in adjacent working days.
As shown in fig. 9, in an embodiment of the present invention, the pushing module 2 includes:
the first pushing unit 21 is configured to calculate a time S (n +1) for pushing the smart service on the current day according to S (n +1) ═ G-x1, where G is a first departure time point of the current day, and x1 is a first preset time period from the first departure time point of the current day.
In this embodiment, a first preset time period x1 before the current time point of going out is x1 before the current time point of going out. The first preset time period can be customized according to user requirements, and in this embodiment, the value range of x1 is 5 to 20 minutes, preferably 10 minutes.
By pushing the service in advance according to the preset time x1 according to the acquired first time point of departure of the current day, the user is convenient to prepare before the departure.
As shown in fig. 10, in an embodiment of the present invention, the obtaining module 1 includes:
a first judging unit 15 for judging whether the current day sets an alarm clock time;
a second judging unit 16, configured to, if an alarm clock time is set, judge whether a difference between the alarm clock time and an obtained average time point value of first time point of departure of the user on each statistical day within a specified statistical day is within a preset time period;
and the second selecting unit 17 is configured to, if the time is within the preset time period, use the specified time after the alarm time as the first departure time point of the current day, and if the time is not within the preset time period, generate an instruction for acquiring the first departure time point of the current day according to the first departure time point of each statistical day.
Judging whether the alarm clock time is set on the current day through a first judging unit 15 to obtain a preliminary result of whether the alarm clock time is taken as the basis of the first time point of departure of the current day;
judging whether the time difference between the alarm clock time and the acquired first time point of the user's exit in each statistical day in the specified statistical day is within a preset time period through a second judging unit 16; the obtained first time point of the user's exit on each statistical day within the specified statistical day may be obtained, for example, by the following steps:
collecting and storing the steps of continuous walking of a plurality of groups of users per minute in a specified statistical day;
calculating the average steps of the user walking per minute according to the steps of the multiple groups of the user continuously walking per minute;
counting time points corresponding to the average walking steps per minute when the user continuously walks for the first time for one minute every counting day within a specified counting day;
and (3) corresponding the time point corresponding to the average step number of walking per minute after walking for one minute continuously for the first time on each statistical day to be the first time point of going out on each statistical day.
The preset time period is a deviation time range set according to the daily time rule requirement of the user for going out, the alarm clock in the range is defined to be the alarm clock with the prompting function for going out, and the influence on the judgment of the going out time point due to the setting of other alarm clocks of reminding types is avoided.
Judging whether an alarm clock is set and whether the alarm clock setting time meets a preset time period condition or not according to the presetting of the current time point of the day going out according to rules so as to determine the selection of the current time point of the day going out according to the rule;
the second selection unit 17 selects the current time point of the current day-out, so that the intelligent service push time point is more in line with the user requirement.
As shown in fig. 11, in an embodiment of the present invention, the pushing module 2 includes:
a second pushing unit 22, configured to calculate a time S (n +1) for pushing the smart service on the current day according to S (n +1) ═ T (n +1) + x2 if it is determined that the specified time after the alarm time is taken as the first departure time point of the current day, where T (n +1) is the alarm time, and x2 is a second preset time period after the alarm time elapses;
after the alarm clock time passes, a second preset time period x2 represents that after the alarm clock time point, the user needs to prepare a certain time, if the user gets up in the morning and goes out several minutes after getting up, then service pushing is performed after the alarm clock time and before going out, so the second preset time period can be customized according to the user requirement, and the value range of x2 is smaller than the time difference from the alarm clock time to the time of going out. In this embodiment, x2 is in the range of 5 to 15 minutes, preferably 10 minutes.
If it is determined that the specified time after the alarm time is taken as the first time point of departure on the current day, the second pushing unit 22 is used for pushing the service. The service is pushed by acquiring the alarm time and pushing the service at the second preset time period x2 after the alarm time, so that the user is ready before going out.
According to the method and the device for pushing the service timely, the time of the user going out is obtained through the obtaining module in the intelligent wearable device, so that before the user goes out, a piece of service information such as weather forecast, traffic conditions and corresponding cautions is intelligently pushed in advance, the problems that the user forgets to take an umbrella in rainy days, high-temperature weather forgets sun-proof preparation, the selection of the traffic route going out is unreasonable and the like are solved, and the effect of improving the intellectualization of the wearable device is achieved.
The above are only preferred embodiments of the present invention, and do not limit the scope of the claims of the present invention. All the equivalent processes and equivalent devices which are converted by using the contents of the specification and the drawings of the invention, or directly or indirectly applied to other related technical fields, are included in the scope of the invention.
Claims (6)
1. A timely service pushing method is applied to intelligent wearable equipment and is characterized by comprising the following steps:
collecting and storing the steps of continuous walking of a plurality of groups of users per minute in a specified statistical day;
calculating the average steps of the user walking per minute according to the steps of the plurality of groups of users continuously walking per minute;
acquiring a first time point of departure of a user on each statistical day in a specified statistical day; the method specifically comprises the following steps:
counting the time points corresponding to the average walking steps per minute when the user continuously walks for the first time for one minute on each counting day within the specified counting day;
the time points are in one-to-one correspondence to the first time point of the exit of each statistical day;
judging whether the current day is set with alarm clock time or not;
if the alarm clock time is set, judging whether the time difference between the alarm clock time and the average time point value of the first time point of the user's exit in each statistical day in the specified statistical day is within a preset time period;
if the current date is within the preset time period, the appointed time after the alarm clock time is taken as the first time point of going out of the current date;
if the current date is not within the preset time period, acquiring the first time-out time point of the user on the current date according to the first time-out time point of each statistical day;
and pushing the intelligent service in time according to a preset rule according to the first time point of departure on the current day.
2. The method of opportunistically pushing services according to claim 1 wherein said step of calculating an average number of steps a user walks per minute based on said plurality of groups of steps a user continuously walks per minute comprises:
removing the maximum value and the minimum value of the steps of the continuous walking per minute of the plurality of groups of users;
and calculating the average steps of the user walking per minute according to the residual data after the maximum value and the minimum value are removed.
3. The method for pushing service in due time according to claim 1, wherein the step of obtaining the first time point of departure of the user on the current day according to the first time point of departure of each statistical day comprises:
acquiring a specified day in the specified statistical day corresponding to the current day;
setting the first time of going out of the appointed day as the first time of going out of the current day; or the like, or, alternatively,
calculating the average time point value of the first time exit time points of each statistical day;
and setting the average time point value as the first time point of departure of the current day.
4. The method for pushing services in due time according to claim 3, wherein the step of pushing intelligent services in due time according to a preset rule according to the first time of departure time point of the current day includes:
calculating the time S (n +1) of pushing the smart service on the current day according to the S (n +1) ═ G-x1, wherein G is the first time point of departure of the current day, and x1 is a first preset time period away from the first time point of departure of the current day.
5. The method for pushing services in time according to claim 1, wherein the step of pushing intelligent services in time according to the first time point of departure of the current day according to a preset rule comprises:
and if the specified time after the alarm time is taken as the first time point of departure of the current day, calculating the time S (n +1) of pushing the intelligent service on the current day according to S (n +1) ═ T (n +1) + x2, wherein T (n +1) is the alarm time, and x2 is a second preset time period after the alarm time passes.
6. The utility model provides a device of in good time propelling movement service, assembles in intelligent wearing equipment which characterized in that includes:
the acquisition unit is used for acquiring and storing the steps of continuous walking of a plurality of groups of users per minute in a specified statistical day;
a first calculation unit for calculating an average number of steps a user walks per minute;
the first acquisition module is used for acquiring the first time point of the exit of each statistical day of the user in the appointed statistical day; the method specifically comprises the following steps:
the second calculating subunit is used for calculating the time point corresponding to the average walking steps per minute when the user walks for the first time for one minute continuously in each calculation day in the appointed calculation day;
the second selection subunit is used for one-to-one correspondence of time points corresponding to the average walking step number per minute of the user continuously walking for the first time for one minute in each statistical day in the appointed statistical day as the first departure time point of each statistical day;
the judging module is used for judging whether the current day is set with the alarm clock time or not;
the judging module is used for judging whether the time difference between the alarm clock time and the average time point value of the first time point of the user's exit in each statistical day in the specified statistical day is within a preset time period or not when the alarm clock time is set;
the specifying module is used for taking the specified time after the alarm clock time as the first exit time point of the current day when the time difference is within the preset time period;
the second acquisition module is used for acquiring the first time of departure time point of the current day of the user according to the first time of departure time point of each statistical day when the time difference is not within the preset time period;
and the pushing module is used for timely pushing the intelligent service according to the first time of going out of the current day and a preset rule.
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| CN113411458B (en) * | 2021-05-21 | 2023-04-07 | 海南太美航空股份有限公司 | Travel information notification method, device, terminal and storage medium |
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