CN110009391B

CN110009391B - Periodic event information determining method and device

Info

Publication number: CN110009391B
Application number: CN201910131667.8A
Authority: CN
Inventors: 张洋
Original assignee: Advanced New Technologies Co Ltd
Current assignee: Advanced New Technologies Co Ltd; Advantageous New Technologies Co Ltd
Priority date: 2019-02-22
Filing date: 2019-02-22
Publication date: 2023-06-02
Anticipated expiration: 2039-02-22
Also published as: CN110009391A

Abstract

One or more embodiments of the present disclosure provide a method and an apparatus for determining periodic event information, where the method includes: judging whether the target event is a periodic execution event according to the time interval of every two adjacent execution dates related to the executed target event; aiming at a periodic target event, acquiring a resource consumption record of the target event in an execution date based on identification information of the target event; based on the resource consumption record, an actual execution time period of the target event within the execution date is determined. By automatically identifying the periodical execution event and simultaneously automatically determining the actual execution time period of the periodical execution event within the execution date, not only are the timeliness and accuracy of acquiring the related information of the target event improved, but also event operators can perform targeted optimization adjustment on the executed target event based on the acquired related information of the target event, and other events to be executed are also targeted and planned in advance.

Description

Periodic event information determining method and device

Technical Field

One or more of the present disclosure relates to the field of internet technologies, and in particular, to a method and an apparatus for determining periodic event information.

Background

At present, with the rapid development of internet technology and the continuous popularization of electronic commerce, online shopping has become an indispensable part of daily life of people, and online shopping can bring a certain convenience to the daily life of users, so that online shopping is more and more favored by users. Meanwhile, in order to increase sales, attract consumer's attention, or stimulate consumer consumption, merchants often regularly hold various offers, for example, distribute a certain number of coupons so that consumers can purchase desired goods at lower prices during the time-limited offers of the offers.

Currently, in general, the number of simultaneously operated preferential activities is very large, and especially for the periodic preferential activities, in order to avoid conflict among a plurality of preferential activities, so that the preferential activities can reach the expected drainage effect, and the preferential activities to be executed can be guided by combining the specific execution related information of the executed preferential activities; however, different active operators are often responsible for respective preferential activity plans, so that related information of other preferential activities needs to be collected for multiple parties, and the situation that mutual information transmission is not feasible possibly exists among the active operators, so that the problem of poor timeliness of information acquisition exists; in addition, aiming at the situation that the relevant information of the preferential activities is possibly continuously adjusted, the problems of information acquisition update, time difference and low accuracy exist.

Therefore, it is necessary to provide a scheme for acquiring relevant information of a preferential event with high timeliness and high accuracy.

Disclosure of Invention

The object of one or more embodiments of the present disclosure is to provide a method and an apparatus for determining periodic event information, by automatically identifying a periodic execution event and automatically determining an actual execution time period of the periodic execution event within an execution date, so that not only is the timeliness and accuracy of acquiring related information of a target event improved, but also an event operator can perform targeted optimization adjustment on an executed target event based on the acquired related information of the target event, and other events to be executed are also targeted and planned in advance.

To solve the above technical problems, one or more embodiments of the present specification are implemented as follows:

one or more embodiments of the present specification provide a periodic event information determining method, including:

acquiring first time information related to an executed target event according to identification information of the target event, wherein the first time information represents the execution date of the target event;

judging whether the target event is a periodic execution event or not according to the time intervals of the execution dates adjacent to each other;

If yes, acquiring a resource consumption record of the target event in the execution date based on the identification information of the target event;

and determining second time information of the target event according to the resource consumption record, wherein the second time information characterizes the actual execution time period of the target event in the execution date.

One or more embodiments of the present specification provide a periodic event information determination apparatus including:

the execution date acquisition module is used for acquiring first time information related to the executed target event according to the identification information of the target event, wherein the first time information represents the execution date of the target event;

the periodic event identification module is used for judging whether the target event is a periodic execution event according to the time interval of the execution dates adjacent to each other;

the consumption record acquisition module is used for acquiring a resource consumption record of the target event in the execution date according to the identification information of the target event aiming at the periodic target event;

and the execution time period determining module is used for determining second time information of the target event according to the resource consumption record, wherein the second time information characterizes the actual execution time period of the target event in the execution date.

One or more embodiments of the present specification provide a periodic event information determination apparatus including: a processor; and

a memory arranged to store computer executable instructions that, when executed, cause the processor to:

One or more embodiments of the present specification provide a storage medium storing computer-executable instructions that, when executed, implement the following:

In one or more embodiments of the present disclosure, a method and an apparatus for determining periodic event information determine whether a target event is a periodic execution event according to a time interval of two adjacent execution dates related to the executed target event; aiming at a periodic target event, acquiring a resource consumption record of the target event in an execution date based on identification information of the target event; based on the resource consumption record, an actual execution time period of the target event within the execution date is determined. By automatically identifying the periodical execution event and simultaneously automatically determining the actual execution time period of the periodical execution event within the execution date, not only are the timeliness and accuracy of acquiring the related information of the target event improved, but also event operators can perform targeted optimization adjustment on the executed target event based on the acquired related information of the target event, and other events to be executed are also targeted and planned in advance.

Drawings

For a clearer description of one or more embodiments of the present description or of the solutions of the prior art, the drawings that are necessary for the description of the embodiments or of the prior art will be briefly described, it being apparent that the drawings in the description below are only some of the embodiments described in one or more of the present description, from which other drawings can be obtained, without inventive faculty, for a person skilled in the art.

FIG. 1 is a schematic diagram of a first flow of a method for determining periodic event information according to one or more embodiments of the present disclosure;

FIG. 2 is a schematic diagram of a second flow of a method for determining periodic event information according to one or more embodiments of the present disclosure;

FIG. 3 is a first schematic diagram of an hour resource consumption distribution function trend graph determined in a method for determining periodic event information according to one or more embodiments of the present disclosure;

FIG. 4 is a schematic diagram of a third flow chart of a method for determining periodic event information according to one or more embodiments of the present disclosure;

FIG. 5 is a second schematic diagram of an hour resource consumption distribution function trend graph determined in a method for determining periodic event information according to one or more embodiments of the present disclosure;

FIG. 6 is a fourth flow diagram of a method for determining periodic event information according to one or more embodiments of the present disclosure;

FIG. 7 is a schematic diagram illustrating an implementation of a method for determining periodic event information according to one or more embodiments of the present disclosure;

FIG. 8 is a schematic block diagram of a periodic event information determination apparatus according to one or more embodiments of the present disclosure;

fig. 9 is a schematic structural diagram of a periodic event information determination apparatus provided in one or more embodiments of the present specification.

Detailed Description

In order for those skilled in the art to better understand the solutions in one or more embodiments of the present specification, the solutions in one or more embodiments of the present specification will be clearly and completely described below with reference to the drawings in one or more embodiments of the present specification, and it is apparent that the described embodiments are only a part of one or more embodiments of the present specification, not all embodiments. All other embodiments, which can be made by one or more persons of ordinary skill in the art without undue burden from the disclosure, are intended to be within the scope of one or more of the disclosure.

One or more embodiments of the present disclosure provide a method and an apparatus for determining periodic event information, by automatically identifying a periodic execution event and simultaneously automatically determining an actual execution time period of the periodic execution event within an execution date, so that not only is timeliness and accuracy of acquiring related information of a target event improved, but also an event operator can perform targeted optimization adjustment on an executed target event based on the acquired related information of the target event, and other events to be executed are targeted and planned in advance.

Fig. 1 is a schematic flow diagram of a first method for determining periodic event information according to one or more embodiments of the present disclosure, where the method in fig. 1 can be performed by a server, and as shown in fig. 1, the method at least includes the following steps:

s101, acquiring first time information related to an executed target event according to identification information of the target event, wherein the first time information represents the execution date of the target event;

the target event may be a preferential activity held by a merchant, the unit of the execution date may be a day, and the specific preferential period of the target event is at least one time period in a day;

Specifically, each executed event has a unique identifier, one executed event is selected one by one from a plurality of executed events as a target event, and the identifier information of the target event is obtained; searching for an execution date corresponding to the identification information of the target event in a corresponding relation between event identification information stored for the executed event and the execution date;

for example, the target event is a coupon offer that can use the received deduction cash during the online shopping payment phase; the execution date is the date of the specific preferential time period of the preferential activity, for example, the available time period of the preferential resource of the target preferential activity is 9 am to 10 am of 18 th 2 nd month of 2019, then the execution date of the target preferential activity is 18 th 2 nd month of 2019, for the periodic execution event, the number of the execution dates can be a plurality of, and the preferential activity with one execution date is a non-periodic execution event;

s102, judging whether the target event is a periodic execution event according to the time interval of every two adjacent execution dates;

specifically, after at least one execution date of the target event is acquired, determining the number of the searched execution dates and the time interval between every two adjacent execution dates; judging whether the target event is a periodic execution event according to the determined quantity and time interval of the execution dates; if the number of the execution dates is at least two, determining that the target event is a periodic execution event; or if the difference values of every two adjacent execution dates are the same, determining that the target event is a periodic execution event;

If the target event is a periodic execution event, executing S103, and acquiring a resource consumption record of the target event in an execution date based on the identification information of the target event;

specifically, a resource consumption log generated for any executed event execution process is stored, wherein the resource consumption log comprises a corresponding relation between identification information of the executed event and a resource consumption record, and the resource consumption record corresponding to the identification information of the target event is searched according to the corresponding relation;

the resource consumption records may be resource usage information generated according to usage conditions of the provided preferential resources in the execution process of the target event, each resource consumption record may include information such as identification information, resource consumption time information, resource consumption number, preferential resource identification and the like of the target event, and then by combining the resource consumption time information in each resource consumption record, it may be determined which time period or time periods of the specific execution time period of the target event is within the execution date of the target event;

for the periodic execution event, a specific execution time period of the target event within the execution date preset by an operator needs to be determined, namely, preferential resource available time information of the target event within the execution date is determined, wherein the periodic execution event can be a periodic time-limited preferential activity or a periodic second killing preferential activity;

For the periodic execution event, the execution dates are multiple, and a resource consumption record in a certain execution date can be obtained, for example, a resource consumption record generated by the first execution date of the target event is obtained; the resource consumption records in a plurality of execution dates can be obtained, and statistical analysis is performed on the resource consumption records in each execution date respectively, for example, the resource consumption record generated by the first execution date and the resource consumption record generated by the second execution date of the target event are obtained;

s104, determining second time information of the target event according to the acquired resource consumption record, wherein the second time information represents an actual execution time period of the target event in an execution date, and the actual execution time period can be an available time period of consumed resources provided by a pointer to the target event, and the consumption parameters of the preferential resources exceed a preset threshold in the actual execution time period; for example, for the case where there is a record of consumption of the offer resources only during a specific offer, the consumption amount of the offer resources in the actual execution period is greater than zero, or the consumption ratio of the offer resources is greater than zero;

considering that the coupon resources are unavailable in the non-coupon execution time period, the resource consumption records usually exist only in the specific coupon period of the coupon, the coupon resources can be coupons capable of withholding cash, and the like, specifically, a plurality of resource consumption records of the periodic coupon in the execution date are obtained and counted, and can determine the actual execution time period of the coupon in the execution date, for example, for a certain periodic time-limited coupon, if the obtained resource consumption records recorded for the coupon are used for determining that the consumption time of the coupon resources is 9 to 10 am every day, the actual execution time period of the periodic time-limited coupon is 9 to 10 am;

In one or more embodiments of the present disclosure, a periodic execution event is automatically identified through a computer device, and an actual execution time period of the periodic execution event within an execution date is automatically determined, so that not only is timeliness and accuracy of acquiring related information of a target event improved, but also an event operator can perform targeted optimization adjustment on an executed target event based on the acquired related information of the target event, and other events to be executed are also targeted and planned in advance.

In order to improve the efficiency and accuracy of determining the specific execution time period of the target event, as shown in fig. 2, the step S104 of determining the second time information of the target event according to the obtained resource consumption record specifically includes:

s1041, generating resource consumption distribution information of a plurality of unit time in an execution date according to the acquired resource consumption record, wherein the division granularity of the unit time can be determined according to actual requirements, the duration of the unit time can be hours, minutes, seconds, 30 minutes, 10 minutes and the like, the unit of the execution date is a day, the duration of the unit time is an hour, and the number of the unit time contained in each execution date is 24;

Specifically, firstly, counting the resource consumption of each unit time in each execution date according to a plurality of resource consumption records corresponding to each execution date, and then generating resource consumption distribution information corresponding to the execution date according to the resource consumption respectively corresponding to each unit time in the execution date;

s1042, selecting second time information of the target event in a plurality of unit time according to the determined resource consumption distribution information;

specifically, based on the counted resource consumption amount of each unit time, selecting the resource consumption amount meeting the preset condition, and determining time information corresponding to the selected resource consumption amount as an actual execution time period of the target event;

still taking the duration of a unit time as an hour as an example, based on the counted resource consumption amount of each hour, determining a time period corresponding to the resource consumption amount of the hour greater than 0 as an actual execution time period, for example, if the resource consumption amount of 9 to 10 am is x and x is greater than 0, and the resource consumption amounts of the remaining 23 unit time periods are all 0, it may be determined that the actual execution time period of the target event is 9 to 10 am.

The resource consumption distribution information may be presented in a form of a distribution of the resource consumption amount per unit time in the execution day, or may be presented in a trend of a change of the resource consumption amount per unit time in the execution day in a trend graph;

For example, the trend graph is used to represent the resource consumption distribution information, where the corresponding resource consumption distribution information is an hour resource consumption distribution function if the unit time is hour, a minute-level resource consumption distribution function if the unit time is minute, and a second-level resource consumption distribution function if the unit time is second.

As shown in fig. 3, a schematic diagram of a trend chart of the small-hour resource consumption distribution function in the periodic event information determining method is provided, the abscissa represents a plurality of unit time within the execution date, and the ordinate represents the resource consumption amount per unit time, and as can be seen from fig. 3, the time period is 9 to 10 points and the resource consumption amount per unit time is 16 to 17 points is greater than zero, and then the actual execution time period of the target event can be determined to be 9 to 10 points and 16 to 17 points.

In consideration of the fact that there may be a case where a plurality of time periods within the execution date are all resource available time periods, at this time, the consumption ratio may be introduced as a statistical parameter, and the consumption amounts of a plurality of unit times within the execution date are normalized, based on this, as shown in fig. 4, the S1041 generates resource consumption distribution information of a plurality of unit times within the execution date according to the acquired resource consumption record, and specifically includes:

S10411, counting the corresponding resource consumption of each unit time in the execution date according to the acquired resource consumption record;

specifically, taking the time length of a unit time as an example, if the execution date is 2019, 2, 18, and according to the obtained resource consumption record of the target event generated by 2019, 2, 18, counting the resource consumption of each hour in 2019, 2, 18, and obtaining the resource consumption corresponding to 0 point to 1 point and 1 point to 2 point …, and 24 points respectively;

s10412, determining a resource consumption ratio corresponding to each unit time in the execution date according to the determined resource consumption amount of each unit time, wherein the resource consumption ratio of the unit time is the preferential resource amount of the unit time divided by the total resource consumption amount in the execution date;

specifically, in the trend graph of the hour resource consumption distribution function shown in fig. 3, if the resource consumption from 9 to 10 points is x, the resource consumption from 16 to 17 points is y, and the resource consumption in the rest unit time is zero, the resource consumption ratio from 9 to 10 points is

And a resource consumption ratio of 16 to 17 points of +.>

S10413, generating resource consumption distribution information of a plurality of unit time in an execution date according to the determined resource consumption proportion of each unit time, wherein the resource consumption distribution information comprises a corresponding relation between the resource consumption proportion and time information;

For the situation that the resource consumption distribution information is represented in a trend graph mode, the resource consumption distribution information is an hour resource consumption distribution function, and the hour resource consumption distribution function represents the corresponding relation between the resource consumption duty ratio and the time information corresponding to each hour in a single execution date;

as shown in fig. 5, another schematic diagram of an hour resource consumption distribution function trend chart in the periodic event information determination method is given, the abscissa represents a plurality of unit times within the execution date, and the ordinate represents the resource consumption ratio per unit time, in fig. 5, if the resource consumption amount from 9 to 10 points is 200 and the resource consumption amount from 16 to 17 points is 600, the resource consumption ratio from 9 to 10 points is 25% and the resource consumption ratio from 16 to 17 points is 75%, wherein the sum of the resource consumption ratios per unit time is 1.

In the case where the resource consumption distribution information includes the resource consumption ratio of each unit time, as shown in fig. 6, S1042 selects the second time information of the target event from the plurality of unit times according to the determined resource consumption distribution information, and specifically includes:

s10421, selecting a resource consumption ratio meeting preset conditions from the resource consumption ratios of each unit time contained in the resource consumption distribution information;

Specifically, considering that there is a resource consumption record only during a specific offer of the offer, that is, a resource consumption ratio during the specific offer of the offer is greater than zero, when determining the second time information, a resource consumption ratio greater than zero is screened out from a plurality of resource consumption ratios associated with each execution date;

s10422, determining a set of time information corresponding to the selected resource consumption ratio as second time information of the target event, specifically, determining time information corresponding to each selected resource consumption ratio based on the resource consumption distribution information;

for example, the set of time information corresponding to the resource consumption ratio selected in the hour resource consumption distribution function trend chart given in fig. 5 is 9 to 10 points, 16 to 17 points, and thus the second time information of the target event is 9 to 10 points, 16 to 17 points.

Further, in determining the second time information of the target event, the accuracy of the determined second time information may be higher based on a resource consumption record corresponding to one execution date, or based on resource consumption records corresponding to a plurality of execution dates, where the greater the number of execution dates is, the higher the accuracy of the determined second time information is, and based on this, the number of execution dates is a plurality of, and each execution date includes: the time length is a plurality of reference time periods of unit time, for example, the unit of execution date is day, and taking the time length of unit time as hour as an example, the plurality of reference time periods corresponding to each execution date are respectively: 0 point to 1 point, 1 point to 2 points, …, 23 points to 24 points;

Correspondingly, the step S10413 generates resource consumption distribution information of a plurality of unit time within the execution date according to the determined resource consumption ratio of each unit time, and specifically includes:

step one, for each reference time period, determining an average resource consumption ratio corresponding to the reference time period according to the resource consumption ratio corresponding to the reference time period in a plurality of execution dates;

specifically, in connection with the above step S10412, for each execution date, a resource consumption ratio corresponding to each reference time period within the execution date is determined, for example, taking a time length of a unit time as an example, if the first execution date of the target event is 2019, 2 months, and 18 days, and the second execution date is 2019, 2 months, and 20 days, a resource consumption ratio of 0 point to 1 point, a resource consumption ratio of 1 point to 2 points, a resource consumption ratio of …, a resource consumption ratio of 23 points to 24 points, and a resource consumption ratio of 0 point to 1 point, a resource consumption ratio of 1 point to 2 points, a resource consumption ratio of …, and a resource consumption ratio of 23 points to 24 points of 2019, 2 months, 20 days are respectively determined; then according to the corresponding unit time resource consumption duty ratio of each execution date, determining the corresponding average resource consumption duty ratio of 24 hours a day;

Wherein the calculation formula of the average resource consumption ratio of each reference time period is as follows

Wherein N represents the number of execution dates, N represents the number of execution dates, 1.ltoreq.n.ltoreq.n, i represents the number of reference time periods, if the duration of unit time is hours, 1.ltoreq.i.ltoreq.24, p _ni Representing the resource consumption duty ratio corresponding to the reference time period of the sequence number i in the execution date of the sequence number n;

for example, taking the time length of a unit time as an hour as an example, if the first execution date of the target event is 2019, 2 months and 18 days, and the second execution date is 2019, 2 months and 20 days, the calculation formula of the average resource consumption ratio from 0 point to 1 point of the reference time period is

Wherein p is ₁₁ Represents the corresponding resource consumption ratio, p, from 0 point to 1 point within 18 days of 2 months in 2019 ₂₁ Representing the corresponding resource consumption ratio from 0 point to 1 point in the 2 nd month 20 days of 2019;

similarly, the calculation formula of the average resource consumption ratio of the reference time period 1 point to 2 points is that

Wherein p is ₁₂ Represents the corresponding resource consumption ratio from 1 point to 2 points in 18 days of 2 months in 2019, p ₂₂ Representing the corresponding resource consumption ratio from 1 point to 2 points in the 20 days of 2 months in 2019;

similarly, the calculation formula of the average resource consumption ratio of the reference time period 2 points to 3 points is that

Wherein p is ₁₃ Represents the corresponding resource consumption ratio from 2 points to 3 points in 18 days of 2 months in 2019, p ₂₃ Representing the corresponding resource consumption ratio from 2 points to 3 points in the 20 days of 2 months in 2019; similarly, determining average resource consumption duty ratios corresponding to a plurality of reference time periods;

generating resource consumption distribution information of a target event according to the determined average resource consumption duty ratio corresponding to each reference time period, wherein the resource consumption distribution information comprises the corresponding relation between the average resource consumption duty ratio of each reference time period and time information;

in the case of representing the resource consumption distribution information in a trend graph manner, the resource consumption distribution information is an hour resource consumption distribution function, and the hour resource consumption distribution function represents a corresponding relationship between an average resource consumption ratio corresponding to each hour in one day and time information.

Further, considering that the second time information within each execution date is the same for the periodic execution event, whether the target event is abnormal in the actual execution process can be identified by comparing whether the second time information determined for different execution dates is the same, based on which the number of the execution dates is plural, each execution date corresponding to one resource consumption distribution information;

Correspondingly, the step S103 of obtaining a resource consumption record of the target event within the execution date based on the identification information of the target event specifically includes:

acquiring a resource consumption record of a target event in each execution date based on the identification information of the target event;

correspondingly, the step S104 of determining the second time information of the target event according to the obtained resource consumption record specifically includes:

generating resource consumption distribution information of a plurality of unit time in each execution date according to the resource consumption record corresponding to the execution date; the method comprises the steps of,

selecting second time information corresponding to the execution date from a plurality of unit time according to the resource consumption distribution information corresponding to the execution date;

correspondingly, after determining the second time information corresponding to each execution date, the method further comprises the following steps:

judging whether a plurality of pieces of second time information determined based on the resource consumption distribution information corresponding to the execution dates are consistent or not;

if not, generating early warning prompt information aiming at the execution condition of the target event.

Specifically, for multiple executions of the periodic execution event, whether the target event is abnormal in the actual execution process is identified by judging whether the execution time period of the lower limit of each execution date is consistent, so that the execution condition of the periodic execution event is monitored and checked, the error execution event is found in time, and unnecessary loss caused by program errors is reduced.

Further, in the determining process of the execution period of the target event, specific information of at least two adjacent execution dates of the target event needs to be acquired, based on this, after S101, according to the identification information of the executed target event, the method further includes:

and determining an event execution period of the target event according to the acquired execution dates which are adjacent to each other, wherein the event execution period is equal to the absolute value of the difference value between the two adjacent execution dates minus one.

For example, the execution dates for the coupon event 1 are respectively: 2/18/2019, 19/2/20/2019, 22/2/2019, etc., the event execution period of the preferential event 1 is 0;

for another example, the execution dates for the preference event 2 are respectively: 18 days of 2019 2, 20 days of 2019 2, 22 days of 2019 2, 24 days of 2019 2, etc., the event execution period of the preferential event 2 is 1;

for another example, the execution dates for the preference event 2 are respectively:

month

2, 18, 21, 24, 27, etc., in 2019, the event execution period of the preferential event 2 is 2.

In a specific embodiment, as shown in fig. 7, a schematic diagram of an implementation principle of the periodic event information determining method is provided, specifically:

(1) For a target preferential activity, acquiring a plurality of execution dates related to the target preferential activity according to the identification information of the target preferential activity, for example, acquiring a first execution date1 and a second execution date2 related to the target preferential activity;

determining an activity execution period of the target preferential activity according to the first execution date1 and the second execution date2, wherein the activity execution period is (date 2-date 1) -1;

(2) For each execution date, acquiring a preferential resource consumption record of the target preferential activity in the execution date according to the identification information of the target preferential activity, and determining the preferential resource consumption amount per hour in the execution date according to the preferential resource consumption record;

specifically, determining the consumption of the preferential resources per hour in the date of first execution date1, namely determining the consumption of the preferential resources from 0 point to 1 point, the consumption of the preferential resources from 1 point to 2 points, the consumption of the preferential resources … from 23 points to 24 points in the date of first execution date 1; and determining the consumption of the preferential resources per hour in the date of the second execution date2, namely determining the consumption of the preferential resources from 0 point to 1 point, the consumption of the preferential resources from 1 point to 2 points and the consumption of the preferential resources from … and 23 points to 24 points in the date of the second execution date2;

(3) For each execution date, determining the consumption ratio of the preferential resources per hour according to the consumption amount of the preferential resources per hour in the execution date, wherein the consumption ratio of the preferential resources per hour is the total consumption amount of the preferential resources per hour divided by the consumption amount of the preferential resources in the execution date;

(4) Determining the average preferential resource consumption ratio of each hour according to the preferential resource consumption ratio of each hour corresponding to the first execution date1 and the preferential resource consumption ratio of each hour corresponding to the second execution date 2;

(5) Generating an hour consumption proportion distribution function diagram according to the average preferential resource consumption proportion of each hour determined for the target preferential activity;

(6) And determining the actual execution time period of the target event in the execution date according to the hour consumption duty ratio distribution function chart, wherein the preferential resource consumption duty ratio in the actual execution time period is larger than zero.

Further, in combination with the determined related information of the target event, the method can provide a targeted guiding function for other events to be executed, based on which, after determining the second time information of the target event according to the obtained resource consumption record in S104, the method further includes:

And setting the actual execution time period of the event to be executed within the preset execution date according to the determined second time information of the target event.

Specifically, the specific preferential time period of the executed preferential event is obtained in real time, so that the preferential event to be executed is effectively guided to the merchant, the preferential event to be executed is planned in a targeted manner, and the preferential event to be executed is valuable to the merchant, so that the collision between the follow-up preferential event and the actual execution time period of the executed preferential event can be avoided, and a plurality of independent preferential events are not influenced;

for example, by determining that the actual execution period of the executed coupon event 1 is 9 to 10 am through the above-mentioned procedure, then for coupon event 2 to be executed having a preset execution date coincident with coupon event 1, that is, the execution dates set for coupon event 2 and coupon event 1 at the same time in the future, that is, the preset execution dates of coupon event 2 and coupon event 1 collide, at this time, the actual execution period of coupon event 2 to be executed may be set to a period other than 9 to 10 am, such as 10 to 11 am, to ensure that coupon event 2 and coupon event 1 do not affect each other.

Further, the determined related information of the target event may be execution area information, and in combination with the determined execution area information of the target event, the method may have a targeted guiding effect on other events to be executed, based on which, after S103, based on the identification information of the target event, the method further includes:

determining execution area information related to a target event according to the place of the user account in the resource consumption record;

and setting preset execution area information of the event to be executed according to the determined execution area information.

Specifically, the specific execution area of the executed preferential event is obtained in real time, so that the preferential event execution area to be executed is effectively guided to be selected by a merchant in a targeted manner, and the preferential event execution area has valuable guiding function for the merchant, so that the collision between the follow-up executed preferential event and the actual execution area of the executed preferential event can be avoided, and a plurality of independent preferential events are not influenced;

for example, by determining that the actual execution area of the executed coupon event 1 is beijing city through the above process, for the coupon event 2 to be executed, which is the same type as the coupon event 1, i.e. the coupon event 2 and the coupon event 1 belong to the same type of coupon event, for example, the coupon event 2 and the coupon event 1 face the same user group, at this time, the actual execution area of the coupon event 2 to be executed may be set in a city other than beijing city, such as Shanghai city, so as to ensure that the coupon event 2 and the coupon event 1 do not affect each other.

Further, in combination with the determined related information of the target event, the method can further specifically guide the subsequent execution of the target event to perform optimization adjustment, and based on this, after determining the second time information of the target event according to the obtained resource consumption record in S104, the method further includes:

determining third time information of the target event according to the acquired resource consumption record, wherein the third time information represents an active time period of the target event, in which the resource consumption speed of the target event in the actual execution time period is greater than a first preset threshold value;

and optimizing the actual execution time period of the target event according to the determined third time information.

Specifically, the resource consumption record may include a correspondence between identification information of the target event, resource consumption time information, and a number of resource consumption, and based on the obtained resource consumption record of the target event in the execution date, the resource consumption speed of each unit time in the execution date is counted; according to the resource consumption speed of each unit time in the execution date, determining an active time period in an actual execution time period of the target event, namely determining a time period in which the resource consumption begins to increase faster in the actual execution time period or a time period in which the consumption is generally higher, wherein the time period has a better preferential activity execution effect, and the time period can be used as the center of the actual execution time period, so that the method can effectively guide merchants to purposefully optimize and adjust executed preferential events, has a valuable guiding effect for the merchants, and can further improve the execution effect of the executed preferential events;

For example, it is determined that the actual execution period of the executed coupon activity 1 is 9 to 11 am per day based on the steps of S101 to S104, and according to the resource consumption rate of each unit time determined based on the resource consumption record in the execution date, it is known that the 10-point start resource consumption amount starts to increase relatively fast and the 9-10-point resource consumption amount is relatively small, and therefore, the actual execution period of the coupon activity 1 can be adjusted to 10 to 12 am per day.

Further, the determined relevant information of the target event may be execution area information, and in combination with the determined execution area information of the target event, the method may further specifically guide the optimization adjustment of the subsequent execution of the target event, based on which, after the step S103 is based on the identification information of the target event, the method further includes:

according to the obtained resource consumption record, determining active region information of a target event in execution region information, wherein the active region information represents an execution region with average resource consumption speed greater than a second preset threshold;

and adjusting the resource release amounts of the execution areas related to the target event according to the determined active area information.

Specifically, the resource consumption record may further include a location of the user account, and determine a plurality of execution areas related to the target event according to the location of the user account in the obtained resource consumption record of the target event within the execution date; based on the resource consumption record, counting the resource consumption speed of each execution area in the execution date; according to the resource consumption speed of each execution area in the execution date, the active area information of the target event is determined, namely, the execution area with larger average resource consumption is determined, so that the preferential activity in the execution area is popular, the execution effect is better, the resource throwing amount in the active area can be properly increased, the resource throwing amount in the inactive area can be properly reduced, the use efficiency of the thrown preferential resource is further improved, the purpose of effectively guiding merchants to purposefully optimize and adjust the executed preferential event is achieved, and the preferential event guiding function is valuable for the merchants, so that the execution effect of the executed preferential event can be further improved;

for example, the active area determined based on the resource consumption record of the offer 1 is Shanghai city, that is, the resource consumption speed of the offer 1 when the offer 1 is executed by a user facing Shanghai city is relatively high, so that the resource release amount of the offer resource of the offer 1 in Shanghai city can be appropriately increased.

It should be noted that, the relevant information of the target event that can be obtained in real time may include not only the actual execution time information, but also the actual execution area information, and may also include other information determined according to the actual requirement, which are all within the protection scope of the present application.

In one or more embodiments of the present disclosure, by automatically determining relevant execution information of a target event in real time, on one hand, specific execution information of an executed preferential event itself can be guided and adjusted in a targeted manner; on the other hand, specific execution information of other preferential events to be executed can be guided in a targeted manner.

According to the periodic event information determining method in one or more embodiments of the present disclosure, whether a target event is a periodic execution event is determined according to a time interval of every two adjacent execution dates related to the executed target event; aiming at a periodic target event, acquiring a resource consumption record of the target event in an execution date based on identification information of the target event; based on the resource consumption record, an actual execution time period of the target event within the execution date is determined. By automatically identifying the periodical execution event and simultaneously automatically determining the actual execution time period of the periodical execution event within the execution date, not only are the timeliness and accuracy of acquiring the related information of the target event improved, but also event operators can perform targeted optimization adjustment on the executed target event based on the acquired related information of the target event, and other events to be executed are also targeted and planned in advance.

In correspondence to the periodic event information determining method described in fig. 1 to 7, based on the same technical concept, one or more embodiments of the present disclosure further provide a periodic event information determining apparatus, and fig. 8 is a schematic diagram of a module composition of the periodic event information determining apparatus provided in one or more embodiments of the present disclosure, where the apparatus is configured to perform the periodic event information determining method described in fig. 1 to 7, as shown in fig. 8, and the apparatus includes:

an execution date obtaining module 801, configured to obtain first time information related to an executed target event according to identification information of the target event, where the first time information characterizes an execution date of the target event;

a periodic event identification module 802, configured to determine whether the target event is a periodic execution event according to a time interval of the execution dates adjacent to each other;

a consumption record obtaining module 803, configured to obtain, for a periodic target event, a resource consumption record of the target event within the execution date based on identification information of the target event;

an execution time period determining module 804, configured to determine second time information of the target event according to the resource consumption record, where the second time information characterizes an actual execution time period of the target event within the execution date.

In one or more embodiments of the present disclosure, by automatically identifying a periodic execution event and automatically determining an actual execution time period of the periodic execution event within an execution date, not only is timeliness and accuracy of acquiring related information of a target event improved, but also an event operator can perform targeted optimization adjustment on an executed target event based on the acquired related information of the target event, and other events to be executed are also targeted and planned in advance.

Optionally, the execution time period determining module 804 is specifically configured to:

generating resource consumption distribution information of a plurality of unit time within the execution date according to the resource consumption record;

and selecting second time information of the target event in the plurality of unit time according to the resource consumption distribution information.

Optionally, the execution time period determining module 804 is further specifically configured to:

according to the resource consumption record, counting the corresponding resource consumption of each unit time in the execution date;

determining a resource consumption ratio corresponding to each unit time in the execution date according to the resource consumption amount of each unit time;

And generating resource consumption distribution information of a plurality of unit time in the execution date according to the resource consumption duty ratio of each unit time.

selecting the resource consumption ratio meeting preset conditions from the resource consumption ratios in each unit time;

and determining the selected set of time information corresponding to the resource consumption ratio as second time information of the target event.

Optionally, the number of the execution dates is a plurality, and each execution date includes: a plurality of reference time periods having a duration of a unit time;

the execution time period determining module 804 is further specifically configured to:

for each reference time period, determining an average resource consumption ratio corresponding to the reference time period according to the resource consumption ratio corresponding to the reference time period in a plurality of execution dates;

and generating resource consumption distribution information of the target event according to the average resource consumption duty ratio respectively corresponding to each reference time period.

Optionally, the number of the execution dates is multiple, and each execution date corresponds to one piece of the resource consumption distribution information; the device also comprises a prompt information generation module for:

Judging whether second time information respectively determined based on a plurality of the resource consumption distribution information is consistent;

Optionally, the resource consumption distribution information includes: an hour resource consumption distribution function, a minute resource consumption distribution function, or a second resource consumption distribution function.

Optionally, the number of the execution dates is a plurality, and the apparatus further includes an execution period determining module, configured to:

and determining the event execution period of the target event according to the execution dates adjacent to each other.

Optionally, the apparatus further includes an execution time period setting module configured to:

and setting the actual execution time period of the event to be executed within a preset execution date according to the second time information of the target event.

Optionally, the apparatus further includes an execution time period optimization module for:

determining third time information of the target event according to the resource consumption record, wherein the third time information characterizes an active time period of the target event in which the resource consumption speed of the target event in the actual execution time period is greater than a first preset threshold;

And optimizing the actual execution time period of the target event according to the third time information.

Optionally, the periodic event identification module 802 is configured to:

and if the time intervals of every two adjacent execution dates are equal, determining that the target event is a periodic execution event.

Optionally, the apparatus further includes an execution area setting module configured to:

determining execution area information related to the target event according to the place of the user account in the resource consumption record;

and setting preset execution area information of the event to be executed according to the execution area information.

Optionally, the device further comprises a resource delivery amount adjustment module, configured to:

determining active region information of the target event in execution region information according to the resource consumption record, wherein the active region information represents an execution region with average resource consumption speed greater than a second preset threshold;

and adjusting the resource release amounts of a plurality of execution areas related to the target event according to the active area information.

The periodic event information determining device in one or more embodiments of the present disclosure determines whether a target event is a periodic execution event according to a time interval of two adjacent execution dates related to the executed target event; aiming at a periodic target event, acquiring a resource consumption record of the target event in an execution date based on identification information of the target event; based on the resource consumption record, an actual execution time period of the target event within the execution date is determined. By automatically identifying the periodical execution event and simultaneously automatically determining the actual execution time period of the periodical execution event within the execution date, not only are the timeliness and accuracy of acquiring the related information of the target event improved, but also event operators can perform targeted optimization adjustment on the executed target event based on the acquired related information of the target event, and other events to be executed are also targeted and planned in advance.

It should be noted that, in the present specification, the embodiment of the periodic event information determining apparatus and the embodiment of the periodic event information determining method in the present specification are based on the same inventive concept, so that the specific implementation of this embodiment may refer to the implementation of the foregoing corresponding periodic event information determining method, and the repetition is omitted.

Further, according to the method shown in fig. 1 to 7 described above, based on the same technical concept, one or more embodiments of the present specification further provide a periodic event information determining apparatus for performing the above-described periodic event information determining method, as shown in fig. 9.

The periodic event information determining apparatus may have a relatively large difference due to different configurations or performances, may include one or more processors 901 and a memory 902, and may have one or more stored applications or data stored in the memory 902. Wherein the memory 902 may be transient storage or persistent storage. The application program stored in the memory 902 may include one or more modules (not shown in fig. 9), each of which may include a series of computer-executable instructions in the periodic event information determination device. Still further, the processor 901 may be arranged to communicate with the memory 902 to execute a series of computer executable instructions in the memory 902 on the periodic event information-determining device. The periodic event information determination device may also include one or more power supplies 903, one or more wired or wireless network interfaces 904, one or more input output interfaces 905, one or more keyboards 906, and the like.

In a particular embodiment, the periodic event information determination device includes a memory, and one or more programs, wherein the one or more programs are stored in the memory, and the one or more programs may include one or more modules, and each module may include a series of computer-executable instructions for the periodic event information determination device, and configured to be executed by the one or more processors, the one or more programs comprising computer-executable instructions for:

Optionally, the computer executable instructions, when executed, determine second time information of the target event within the execution date from the resource consumption record, including:

Optionally, the computer executable instructions, when executed, generate resource consumption distribution information for a plurality of units of time within the execution date according to the resource consumption record, including:

Optionally, the computer executable instructions, when executed, select second time information of the target event from the plurality of unit times according to the resource consumption distribution information, including:

Optionally, the computer executable instructions, when executed, have a plurality of execution dates, each of the execution dates comprising: a plurality of reference time periods having a duration of a unit time;

the generating resource consumption distribution information of a plurality of unit time in the execution date according to the resource consumption ratio of each unit time includes:

Optionally, the number of the execution dates is a plurality of when the computer executable instructions are executed, and each execution date corresponds to one resource consumption distribution information; the method further comprises the steps of:

Optionally, the computer executable instructions, when executed, the resource consumption distribution information comprises: an hour resource consumption distribution function, a minute resource consumption distribution function, or a second resource consumption distribution function.

Optionally, the number of execution dates when the computer-executable instructions are executed is a plurality, the method further comprising:

Optionally, the computer executable instructions, when executed, further comprise:

Optionally, when the computer executable instructions are executed, the determining whether the target event is a periodic execution event according to the time interval of the execution dates adjacent to each other includes:

Optionally, the computer executable instructions, when executed, further comprise, after obtaining a resource consumption record of the target event within the execution date:

It should be noted that, in this specification, the embodiment about the periodic event information determining apparatus and the embodiment about the periodic event information determining method in this specification are based on the same inventive concept, so that the specific implementation of this embodiment may refer to the implementation of the foregoing corresponding periodic event information determining method, and the repetition is not repeated.

Further, according to the method shown in fig. 1 to 7, based on the same technical concept, one or more embodiments of the present disclosure further provide a storage medium, which is used to store computer executable instructions, and in a specific embodiment, the storage medium may be a U disc, an optical disc, a hard disk, etc., where the computer executable instructions stored in the storage medium can implement the following flow when executed by a processor:

Optionally, the computer executable instructions stored on the storage medium, when executed by the processor, determine, from the resource consumption record, second time information for the target event within the execution date, including:

Optionally, the computer executable instructions stored on the storage medium, when executed by the processor, generate resource consumption distribution information for a plurality of units of time within the execution date according to the resource consumption record, including:

Optionally, the computer executable instructions stored on the storage medium, when executed by the processor, select the second time information of the target event in the plurality of unit time according to the resource consumption distribution information, including:

Optionally, the storage medium stores computer executable instructions that, when executed by the processor, number a plurality of execution dates, each of the execution dates comprising: a plurality of reference time periods having a duration of a unit time;

Optionally, the storage medium stores computer executable instructions that, when executed by the processor, have a plurality of execution dates, each of the execution dates corresponding to one of the resource consumption distribution information; the method further comprises the steps of:

Optionally, the storage medium stores computer executable instructions that, when executed by the processor, the resource consumption distribution information includes: an hour resource consumption distribution function, a minute resource consumption distribution function, or a second resource consumption distribution function.

Optionally, the storage medium stores computer executable instructions that, when executed by the processor, number the execution dates a plurality, the method further comprising:

Optionally, the storage medium stores computer executable instructions that, when executed by the processor, further comprise:

Optionally, the computer executable instructions stored in the storage medium, when executed by the processor, determine whether the target event is a periodic execution event according to the time interval of the execution dates adjacent to each other, including:

Optionally, the computer executable instructions stored on the storage medium, when executed by the processor, after obtaining a resource consumption record of the target event within the execution date, further comprise:

When the computer executable instructions stored in the storage medium in one or more embodiments of the present disclosure are executed by the processor, determining whether the target event is a periodic execution event according to the time interval of every two adjacent execution dates related to the executed target event; aiming at a periodic target event, acquiring a resource consumption record of the target event in an execution date based on identification information of the target event; based on the resource consumption record, an actual execution time period of the target event within the execution date is determined. By automatically identifying the periodical execution event and simultaneously automatically determining the actual execution time period of the periodical execution event within the execution date, not only are the timeliness and accuracy of acquiring the related information of the target event improved, but also event operators can perform targeted optimization adjustment on the executed target event based on the acquired related information of the target event, and other events to be executed are also targeted and planned in advance.

It should be noted that, in the present specification, the embodiment about the storage medium and the embodiment about the periodic event information determining method in the present specification are based on the same inventive concept, so that the specific implementation of this embodiment may refer to the implementation of the foregoing corresponding periodic event information determining method, and the repetition is omitted.

In the 90 s of the 20 th century, improvements to one technology could clearly be distinguished as improvements in hardware (e.g., improvements to circuit structures such as diodes, transistors, switches, etc.) or software (improvements to the process flow). However, with the development of technology, many improvements of the current method flows can be regarded as direct improvements of hardware circuit structures. Designers almost always obtain corresponding hardware circuit structures by programming improved method flows into hardware circuits. Therefore, an improvement of a method flow cannot be said to be realized by a hardware entity module. For example, a programmable logic device (Programmable Logic Device, PLD) (e.g., field programmable gate array (Field Programmable Gate Array, FPGA)) is an integrated circuit whose logic function is determined by the programming of the device by a user. A designer programs to "integrate" a digital system onto a PLD without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Moreover, nowadays, instead of manually manufacturing integrated circuit chips, such programming is mostly implemented with "logic compiler" software, which is similar to the software compiler used in program development and writing, and the original code before being compiled is also written in a specific programming language, which is called hardware description language (Hardware Description Language, HDL), but also HDL is not only one, but a plurality of, such as ABEL (Advanced Boolean Expression Language), AHDL (Altera Hardware Description Language), confluence, CUPL (Cornell University Programming Language), HD Cal, JHDL (Java Hardware Description Language), lava, lola, my HDL, palam, RHDL (Ruby Hardware Description Language), etc., VHDL (Very-High-Speed Integrated Circuit Hardware Description Language) and Verilog are currently most commonly used. It will also be apparent to those skilled in the art that a hardware circuit implementing the logic method flow can be readily obtained by merely slightly programming the method flow into an integrated circuit using several of the hardware description languages described above.

The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer readable medium storing computer readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, application specific integrated circuits (Application Specific Integrated Circuit, ASIC), programmable logic controllers, and embedded microcontrollers, examples of which include, but are not limited to, the following microcontrollers: ARC 625D, atmel AT91SAM, microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic of the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller in a pure computer readable program code, it is well possible to implement the same functionality by logically programming the method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers, etc. Such a controller may thus be regarded as a kind of hardware component, and means for performing various functions included therein may also be regarded as structures within the hardware component. Or even means for achieving the various functions may be regarded as either software modules implementing the methods or structures within hardware components.

The system, apparatus, module or unit set forth in the above embodiments may be implemented in particular by a computer chip or entity, or by a product having a certain function. One typical implementation is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.

For convenience of description, the above devices are described as being functionally divided into various units, respectively. Of course, the functions of each element may be implemented in one or more software and/or hardware elements when one or more of the present description are implemented.

One skilled in the relevant art will recognize that one or more of the embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, one or more of the present specification may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, one or more of the present description can take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.

One or more of the present description is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to one or more embodiments of the specification. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.

Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Disks (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.

One or more of the present description may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. One or more of the present description may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.

In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for system embodiments, since they are substantially similar to method embodiments, the description is relatively simple, as relevant to see a section of the description of method embodiments.

The foregoing description is merely illustrative of one or more embodiments of the present disclosure and is not intended to limit the one or more embodiments of the present disclosure. Various modifications and alterations to one or more of this description will become apparent to those skilled in the art. Any modifications, equivalent substitutions, improvements, or the like, which are within the spirit and principles of one or more of the present description, are intended to be included within the scope of the claims of one or more of the present description.

Claims

1. A periodic event information determination method, comprising:

determining second time information of the target event according to the resource consumption record, wherein the second time information represents an actual execution time period of the target event in the execution date;

wherein the determining, according to the resource consumption record, the second time information of the target event includes:

2. The method of claim 1, wherein the generating resource consumption distribution information for a plurality of units of time within the execution date from the resource consumption record comprises:

3. The method of claim 2, wherein the selecting second time information of the target event among the plurality of unit times according to the resource consumption distribution information comprises:

4. The method of claim 2, wherein the number of execution dates is a plurality, each of the execution dates comprising: a plurality of reference time periods having a duration of a unit time;

5. The method of claim 1, wherein the number of execution dates is a plurality, each of the execution dates corresponding to one of the resource consumption distribution information; the method further comprises the steps of:

6. The method of claim 1, wherein the resource consumption distribution information comprises: an hour resource consumption distribution function, a minute resource consumption distribution function, or a second resource consumption distribution function.

7. The method of any of claims 1-6, wherein the number of execution dates is a plurality, the method further comprising:

8. The method of any one of claims 1 to 6, wherein the method further comprises:

9. The method of any one of claims 1 to 6, wherein the method further comprises:

10. The method according to any one of claims 1 to 6, wherein the determining whether the target event is a periodic execution event according to the time interval of the execution dates adjacent to each other includes:

11. The method of any of claims 1 to 6, wherein after obtaining a resource consumption record of the target event within the execution date, further comprising:

12. The method of any of claims 1 to 6, wherein after obtaining a resource consumption record of the target event within the execution date, further comprising:

13. A periodic event information determination apparatus comprising:

an execution time period determining module, configured to determine second time information of the target event according to the resource consumption record, where the second time information characterizes an actual execution time period of the target event within the execution date;

the execution time period determining module is specifically configured to:

14. The apparatus of claim 13, wherein the execution time period determination module is further specifically configured to:

15. The apparatus of claim 14, wherein the execution time period determination module is further specifically configured to:

16. The apparatus of claim 14, wherein the number of execution dates is a plurality, each of the execution dates comprising: a plurality of reference time periods having a duration of a unit time;

the execution time period determining module is further specifically configured to:

17. The apparatus of claim 13, wherein the number of execution dates is a plurality, each of the execution dates corresponding to one of the resource consumption distribution information; the device also comprises a prompt information generation module for:

18. The apparatus of claim 13, wherein the resource consumption distribution information comprises: an hour resource consumption distribution function, a minute resource consumption distribution function, or a second resource consumption distribution function.

19. The apparatus of any of claims 13 to 18, wherein the number of execution dates is a plurality, the apparatus further comprising an execution period determination module to:

20. The apparatus according to any one of claims 13 to 18, wherein the apparatus further comprises an execution time period setting module for:

21. The apparatus according to any one of claims 13 to 18, wherein the apparatus further comprises an execution time period optimization module for:

22. The apparatus of any of claims 13 to 18, wherein the periodic event identification module comprises:

23. The apparatus according to any one of claims 13 to 18, wherein the apparatus further comprises an execution area setting module for:

24. The apparatus according to any one of claims 13 to 18, wherein the apparatus further comprises a resource delivery amount adjustment module for:

25. A periodic event information determination apparatus comprising:

a processor; and

26. A storage medium storing computer-executable instructions that when executed implement the following: