CN114328676A - Time window detection method and device - Google Patents

Abstract

The application discloses a time window detection method and a time window detection device, and belongs to the technical field of communication. The method comprises the following steps: initializing a time window array, wherein the time window array comprises a plurality of timestamps in a target time period, and a time interval corresponding to every two adjacent timestamps is used as a time window; when data to be subjected to flow statistics is received, a target time window to which the time stamp of the data belongs is inquired from the time windows corresponding to each two adjacent time stamps in the time window array. The method improves the flexibility of time window configuration and improves the detection efficiency of the time window.

Description

Time window detection method and device

technical field

The embodiments of the present application relate to the field of communication technologies, and in particular, to a time window detection method and apparatus.

Background technique

In the field of big data, it is usually necessary to aggregate data according to the time dimension. For example, in a data acquisition system, data traffic in multiple time windows needs to be counted for traffic monitoring and scheduling. Therefore, it is necessary to detect the time window corresponding to each received data.

In the prior art, multiple time windows are usually set in advance (for example, 08:01, 08:02, 08:03, etc. are used as a time window every minute), and then the time stamp of the data is converted into an hourly minute, according to the hourly hour. Minutes determine the time window to which the data belongs. This method is not only difficult to flexibly configure the time window, but also has low detection efficiency.

SUMMARY OF THE INVENTION

The purpose of the embodiments of the present application is to provide a time window detection method and device, which can solve the technical problems that the time window is not easy to configure flexibly and the detection efficiency of the time window is low.

In order to solve the above technical problems, this application is implemented as follows:

In a first aspect, an embodiment of the present application provides a time window detection method, the method includes: initializing a time window array, where the time window array includes a plurality of time stamps located in a target time period, and every two adjacent times The time interval corresponding to the stamp is used as a time window; when the data to be counted is received, the target to which the time stamp of the data belongs is queried from the time windows corresponding to two adjacent time stamps in the time window array. time window.

In a second aspect, an embodiment of the present application provides a time window detection device, the device includes: an initialization unit configured to initialize a time window array, where the time window array includes a plurality of time stamps located in a target time period, each time The time interval corresponding to the two adjacent time stamps is used as a time window; the query unit is used to, when receiving the data to be subjected to traffic statistics, from the time windows corresponding to the two adjacent time stamps in the time window array, Queries the target time window to which the timestamp of the data belongs.

In a third aspect, an embodiment of the present application provides an electronic device, including a processor, a memory, and a program or instruction stored in the memory and executable on the processor. When the program or instruction is executed by the processor, the above-mentioned first The steps of the method described in the aspect.

In a fourth aspect, an embodiment of the present application provides a readable storage medium, where a computer program is stored on the readable storage medium, and when the computer program is executed by a processor, the steps of the method described in the first aspect above are implemented.

In a fifth aspect, an embodiment of the present application provides a chip, the chip includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is configured to run a program or an instruction, and implement the first aspect the described method.

In this embodiment of the present application, by initializing a time window array including multiple time stamps within the target time period, and using the time interval corresponding to every two adjacent time stamps as a time window, traffic statistics to be performed after receiving , query the target time window to which the timestamp of the Giallo data belongs from the time windows corresponding to two adjacent timestamps in the time window array. Since the time window is determined based on the timestamps in the time window array, the time window can be flexibly configured by setting the timestamp, which improves the flexibility of the time window configuration. In addition, the query process of the time window does not need to perform timestamp conversion, which improves the detection efficiency of the time window.

Description of drawings

Other features, objects and advantages of the present application will become more apparent by reading the detailed description of non-limiting embodiments made with reference to the following drawings:

Fig. 1 is one of the flowcharts of the time window detection method provided by the embodiment of the present application;

2 is a schematic diagram of a time window array of a time window detection method provided by an embodiment of the present application;

3 is a schematic diagram of a search process of a target time window of a time window detection method provided by an embodiment of the present application;

4 is a schematic diagram of a detection result of a time window detection method provided by an embodiment of the present application;

5 is a schematic structural diagram of a time window detection device provided by an embodiment of the present application;

FIG. 6 is a schematic diagram of a hardware structure of an electronic device suitable for implementing an embodiment of the present application.

Detailed ways

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present application.

The terms "first", "second" and the like in the description and claims of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It is to be understood that data so used may be interchanged under appropriate circumstances so that embodiments of the application can be practiced in sequences other than those illustrated or described herein. In addition, "and/or" in the description and claims indicates at least one of the connected objects, and the character "/" generally indicates that the associated objects are in an "or" relationship.

The method and apparatus for detecting a time window provided by the embodiments of the present application will be described in detail below through specific embodiments and application scenarios with reference to the accompanying drawings.

Please refer to FIG. 1 , which shows one of the flowcharts of the time window detection method provided by the embodiment of the present application. The time window detection method provided by the embodiments of the present application can be applied to electronic devices. In practice, the above-mentioned electronic devices may be electronic devices such as servers, smart phones, tablet computers, laptop computers, and the like.

The process of the time window detection method provided by the embodiment of the present application includes the following steps:

Step 101, initialize the time window array.

In this embodiment, the execution body of the time window detection method (such as the above electronic device) may first initialize the time window array. The time window array is an array containing multiple timestamps (Timestamps). Timestamps contained in the time window array can be within the target period. The target period may be determined based on the current time. For example, it can be a period of three hours before and after the current time.

In this embodiment, the time interval corresponding to every two adjacent time stamps may be used as a time window. The lengths of time intervals corresponding to two adjacent time stamps may be the same or different, and may be set arbitrarily. For example, the time interval corresponding to each two adjacent timestamps may be 5 minutes; it is also possible that the time interval corresponding to some adjacent timestamps is 1 minute, the time interval corresponding to another part of the adjacent timestamps is 2 minutes, and another part The time interval corresponding to the adjacent time stamps is 5 minutes, etc., which is not specifically limited here.

As an example, Figure 2 shows a schematic diagram of an array of time windows. As shown in Figure 2, the time window array contains a total of 24 timestamps. The 24 timestamps are all in the target period "2021-08-2814:00:00:0" to "2021-08-28 16:00:00:0". For example, the time stamp "1630130400000" can represent the time "2021-08-28 14:00:00:0", the time stamp "1630130700000" can represent the time "2021-08-28 14:05:00:0", etc. I won't go into details here.

In some optional implementations of this embodiment, the time window array may be initialized by the following sub-steps S11 to S13:

In sub-step S11, the target time period is determined based on the current time.

Here, a period formed by several hours before and after the current time can be used as the target period.

In some examples, the hourly hour timestamp of the current time may be obtained first. The timestamp of the hour on the hour is the timestamp corresponding to the hour on the hour (ie, minutes, seconds, and milliseconds are all zero). For example, the hourly hour corresponding to the current system time "2021-08-28 15:25:17:8" is "2021-08-28 15:00:00:0", and its hourly hour timestamp is "163013400000" .

Afterwards, a period consisting of several hours before and after the hour can be used as the target period. For example, the hour corresponding to the current time is "2021-08-28 15:00:00:0", and the period formed by one hour before and after can be used as the target period, that is, "2021-08-28 14:00: 00:0" to "2021-08-28 16:00:00:0".

Sub-step S12, based on a preset interval duration, select multiple time stamps within the target time period.

Here, timestamps may be selected from the target time period according to a preset interval duration. The selected time interval between two adjacent time stamps is the above interval duration.

As an example, the interval is 5 minutes, and the target period is a period consisting of several hours before and after the current hour, such as "2021-08-28 14:00:00:0" to "2021-08" in the above example -28 16:00:00:0". At this point, every hour can be divided into 12 equal parts. Since the timestamp is directly selected here, milliseconds can be used directly as the time unit. From the hourly time corresponding to the current time, the target period can be obtained by adding or subtracting the interval of 300000ms (corresponding to 5 minutes) each time. Timestamp every 5 minutes, a total of 24 timestamps are obtained.

Sub-step S13 aggregates multiple timestamps in chronological order to obtain a time window array.

Since the length of the time window array can be adjusted arbitrarily, the interval duration can also be adjusted flexibly, thereby improving the flexibility of time window configuration. In addition, since the time stamp is calculated by numerical addition and subtraction in the process of the initial time window array, the calculation logic is relatively simple, which makes the calculation speed faster and avoids the reduction of system performance. In addition, since the target time period is determined by several hours before and after the hourly time at which the current time is located, it is unnecessary to update the time window array for a long period of time, which reduces the update frequency of the time window array and facilitates the processing of delayed data.

Step 102: When receiving the data to be counted for traffic, from the time windows corresponding to two adjacent time stamps in the time window array, query the target time window to which the time stamp of the data belongs.

In this embodiment, when receiving the data to be subjected to traffic statistics, the above-mentioned execution body may query the time window to which the time stamp of the data belongs from the time windows corresponding to two adjacent time stamps in the time window array, and Use this as the target time window. In this way, the target time window corresponding to the received data can be determined, which facilitates the statistics and display of the data, and facilitates subsequent scheduling and traffic allocation. The timestamp of the data may be carried by the data.

The data to be subjected to traffic statistics may be various types of data, such as request data sent by the client, instructions sent by other devices, etc., which are not specifically limited here. Here, every time the data to be counted is received, the operation of detecting the time window may be performed once.

As an example, FIG. 4 is a schematic diagram of the detection result. As shown in FIG. 4 , in the time window from 08:00 to 08:02, two data (such as request data) are received, which can be represented as “event 1” and “event 2” respectively. In the time window from 08:02 to 08:04, data is received once, which can be represented as "event 3". In the time window from 08:04 to 08:06, three data are received, which can be represented as "event 4", "event 5", and "event 6" respectively. With the change of time, the statistical results can be gradually increased in the form of a list to display the total amount of data in each time window of history.

In some optional implementations of this embodiment, after determining the target time window, the above-mentioned execution body may further determine the total amount of data corresponding to each time window, and display the total amount of data corresponding to each time window. In this way, it is convenient for technicians to monitor the total amount of data in each time window intuitively, thereby facilitating traffic scheduling and distribution.

In some optional implementations of this embodiment, in the case that the time interval between every two adjacent timestamps in the time window array is the same, the above-mentioned execution subject may first query the time between the above-mentioned data from the time-window array Target timestamps where the difference between stamps is positive and less than or equal to the interval duration. Then, the time window formed by the target time stamp and the previous time stamp in the initialization time window may be used as the target time window.

As an example, the timestamp of the data is "1630130730000". The ordered timestamps in the time window array are "1630130400000", "1630130700000", "1630131000000", "1630131300000", and so on. Since the difference between "1630131000000" and "1630130730000" is less than the interval 300000, "1630131000000" is the target timestamp. The previous timestamp in the initialization time window is "1630130700000". Therefore, the time window "2021-08-28 14:05:00:0" to "2021-08-28 14:10:00:0" constituted by "1630130700000" and "1630131000000" is the target time window .

In this implementation manner, when the difference between the time stamp of the query and the above data is a positive number and is less than or equal to the target time stamp of the interval duration, a binary search method can be used to search for the target time window.

As an example, FIG. 3 shows a schematic diagram of the search process of the target time window. As shown in FIG. 3 , the time window array includes 24 timestamps, and each timestamp may have an index number (eg, 0 to 24). The client sends a data lookup request, which is used to look up data. The timestamp is "1630144371303", and the corresponding time is "2021-08-28 17:52:51:303". Through binary search, you can first query the timestamp with the index number in the middle, such as the timestamp "1630141200000" with the index number 12.

Since the difference between the timestamp "1630141200000" and the timestamp "1630144371303" of the above data is "-3171303", the timestamp with the index number in the middle can be selected from the timestamps with index numbers from 13 to 24, such as index Timestamp "1630143000000" with number 18.

Since the difference between the timestamp "1630143000000" and the timestamp "1630144371303" of the above data is "-1371303", the timestamp with the index number in the middle can be selected from the timestamps with index numbers from 19 to 24, such as index Timestamp "1630143900000" with number 21.

Since the difference between the timestamp "1630143900000" and the timestamp "1630144371303" of the above data is "-471303", the timestamp with the index number in the middle can be selected from the timestamps with index numbers from 22 to 24, such as index Timestamp "1630144500000" with number 23.

Since the difference between the timestamp "1630144500000" and the timestamp "1630144371303" of the above data is "128697", which satisfies the condition that the difference between the timestamps is positive and less than or equal to the interval duration, the index number can be set to the time of 23 The stamp "1630144500000" is determined as the target timestamp.

Searching for the target timestamp by means of binary search can reduce the difficulty of searching the target timestamp and improve the searching speed of the target timestamp, thereby improving the detection efficiency of the target time window and the system performance.

In some optional implementation manners of this embodiment, the above-mentioned execution body may also search for the target time window by comparing timestamps. Specifically, the minimum timestamp greater than or equal to the timestamp of the data can be queried from the time window array, and the time window formed by the minimum timestamp in the initialization time window and the previous timestamp is used as the target time window.

In some optional implementations of this embodiment, if the timestamp of the above data is greater than the maximum timestamp in the time window array, it means that the timestamp of the above data is no longer included in the target period, and the target period needs to be updated . At this time, the above-mentioned execution body may update the target period based on the current time, obtain the updated target period, and update the time window array based on the updated target period. The manner of updating the target period is the same as the manner of determining the target period, and details are not described herein again.

It should be noted that if the timestamp of the above data is less than the minimum timestamp in the time window array, it means that the data is delayed for too long. At this time, it can directly return to the upper-layer application for related processing, for example, it can return a prompt message that the request fails to the source device of the data, etc., which is not specifically limited here.

In the method provided by the above-mentioned embodiments of the present application, by initializing a time window array including multiple time stamps located in the target time period, and using the time interval corresponding to each two adjacent time stamps as a time window, the data is received when the data is received. , the target time window to which the timestamp of the data belongs can be queried from the time windows involved in the time window array. Since the time window is determined based on the timestamps in the time window array, the time window can be flexibly configured by setting the timestamp, which improves the flexibility of the time window configuration. In addition, the time window corresponding to the data can be determined without performing timestamp conversion, which improves the detection efficiency of the time window.

It should be noted that, in the time window detection method provided by the embodiments of the present application, the execution subject may be a time window detection device, or a control module in the time window detection device for executing the loading time window detection method. In the embodiments of the present application, the method for detecting a loading time window performed by a time window detecting device is used as an example to describe the method for detecting a time window provided by the embodiments of the present application.

As shown in FIG. 5 , the above-mentioned time window detection device 500 in this embodiment includes: an initialization unit 501 configured to initialize a time window array, wherein the time window array includes a plurality of time stamps located in the target period, and every two adjacent time stamps The time interval corresponding to the time stamp is used as a time window; the query unit 502 is configured to query the time window corresponding to each two adjacent time stamps in the time window array when receiving the data to be subjected to traffic statistics. The target time window to which the timestamp of the data belongs.

In some optional implementations of this embodiment, the above initialization unit 501 is further configured to determine a target time period based on the current time; select multiple time stamps in the above target time period based on a preset interval duration; The timestamps are aggregated in chronological order to obtain an array of time windows.

In some optional implementations of this embodiment, the above query unit 502 is further configured to query, from the above time window array, a target time where the difference between the timestamps of the above data and the above data is a positive number and is less than or equal to the above interval duration The time window formed by the above target time stamp and the previous time stamp in the initialization time window is used as the target time window.

In some optional implementations of this embodiment, the above query unit 502 is further configured to query the minimum time stamp greater than or equal to the time stamp of the above data from the above time window array, and initialize the above minimum time in the time window The time window formed by the timestamp and the previous timestamp is used as the target time window.

In some optional implementations of this embodiment, the above-mentioned apparatus further includes an update unit, configured to update the above-mentioned target time period based on the current time when the time-stamp of the above-mentioned data is greater than the maximum time-stamp in the above-mentioned time window array, The updated target period is obtained, and based on the updated target period, the above-mentioned time window array is updated.

In some optional implementations of this embodiment, the above-mentioned apparatus further includes a display unit, configured to determine the total amount of data corresponding to each time window, and display the total amount of data corresponding to each time window.

The time window detection device in this embodiment of the present application may be a device, or may be a component, an integrated circuit, or a chip in a terminal. The apparatus may be a mobile electronic device or a non-mobile electronic device. Exemplarily, the mobile electronic device may be a mobile phone, a tablet computer, a notebook computer, a palmtop computer, an in-vehicle electronic device, a wearable device, an ultra-mobile personal computer (UMPC), a netbook, or a personal digital assistant (personal digital assistant). assistant, PDA), etc., the non-mobile electronic device can be a server, a network attached storage (NAS), a personal computer (personal computer, PC), a television (television, TV), a teller machine or a self-service machine, etc. This application Examples are not specifically limited.

The time window detection device in the embodiment of the present application may be a device with an operating system. The operating system may be an Android (Android) operating system, an ios operating system, or other possible operating systems, which are not specifically limited in the embodiments of the present application.

The time window detection apparatus provided in this embodiment of the present application can implement each process implemented by the time window detection apparatus in the method embodiment of FIG. 1 , and to avoid repetition, details are not described here.

In the device provided by the above-mentioned embodiments of the present application, by initializing a time window array including multiple time stamps located in the target time period, and using the time interval corresponding to each two adjacent time stamps as a time window, the data is received when data is received. , the target time window to which the timestamp of the data belongs can be queried from the time windows involved in the time window array. Since the time window is determined based on the timestamps in the time window array, the time window can be flexibly configured by setting the timestamp, which improves the flexibility of the time window configuration. In addition, the time window corresponding to the data can be determined without performing timestamp conversion, which improves the detection efficiency of the time window.

Optionally, an embodiment of the present application further provides an electronic device, including a processor 610, a memory 609, a program or instruction stored in the memory 609 and executable on the processor 610, the program or instruction being processed by the processor When 610 is executed, each process of the foregoing time window detection method embodiment is implemented, and the same technical effect can be achieved. To avoid repetition, details are not described here.

It should be noted that the electronic devices in the embodiments of the present application include the aforementioned mobile electronic devices and non-mobile electronic devices.

FIG. 6 is a schematic diagram of a hardware structure of an electronic device implementing an embodiment of the present application.

The electronic device 600 includes but is not limited to: a radio frequency unit 601, a network module 602, an audio output unit 603, an input unit 604, a sensor 605, a display unit 606, a user input unit 607, an interface unit 608, a memory 609, and a processor 610, etc. part.

Those skilled in the art can understand that the electronic device 600 may also include a power source (such as a battery) for supplying power to various components, and the power source may be logically connected to the processor 610 through a power management system, so as to manage charging, discharging, and power management through the power management system. consumption management and other functions. The structure of the electronic device shown in FIG. 6 does not constitute a limitation on the electronic device, and the electronic device may include more or less components than those shown in the figure, or combine some components, or arrange different components, which will not be repeated here. .

Wherein, the processor 610 is used for a time window array, the time window array includes a plurality of time stamps located in the target time period, and the time interval corresponding to each two adjacent time stamps is used as a time window; In the case of traffic statistics data, the target time window to which the time stamp of the data belongs is queried from the time windows corresponding to two adjacent time stamps in the time window array.

In this embodiment of the present application, by initializing a time window array including multiple time stamps within the target time period, and using the time interval corresponding to every two adjacent time stamps as a time window, traffic statistics to be performed after receiving When the data is stored, the target time window to which the time stamp of the above data belongs is queried from the time windows corresponding to two adjacent time stamps in the time window array. Since the time window is determined based on the timestamps in the time window array, the time window can be flexibly configured by setting the timestamp, which improves the flexibility of the time window configuration. In addition, the time window corresponding to the data can be determined without performing timestamp conversion, which improves the detection efficiency of the time window.

Optionally, the processor 610 is further configured to determine a target period based on the current time; select multiple timestamps in the target period based on a preset interval duration; and summarize the multiple timestamps in chronological order. , to get an array of time windows.

Optionally, the processor 610 is further configured to, from the time window array, query for a target time stamp whose difference between the time stamps of the data and the data is a positive number and is less than or equal to the interval duration, and store the data in the initialization time window. The time window formed by the target time stamp and the previous time stamp is used as the target time window.

Optionally, the processor 610 is further configured to query the minimum timestamp greater than or equal to the timestamp of the data from the time window array, and compare the minimum timestamp in the initialization time window with the previous timestamp. The constituted time window is used as the target time window.

Optionally, the processor 610 is further configured to update the target period based on the current time when the timestamp of the data is greater than the maximum timestamp in the time window array to obtain an updated target period, and Based on the updated target period, the time window array is updated.

Optionally, the processor 610 is further configured to determine the total amount of data corresponding to each time window, and control the display unit 606 to display the total amount of data corresponding to each time window.

It should be understood that, in this embodiment of the present application, the input unit 604 may include a graphics processor (Graphics Processing Unit, GPU) 6041 and a microphone 6042. camera) to process the image data of still pictures or videos. The display unit 606 may include a display panel 6061, which may be configured in the form of a liquid crystal display, an organic light emitting diode, or the like. The user input unit 607 includes a touch panel 6071 and other input devices 6072 . The touch panel 6071 is also called a touch screen. The touch panel 6071 may include two parts, a touch detection device and a touch controller. Other input devices 6072 may include, but are not limited to, physical keyboards, function keys (such as volume control keys, switch keys, etc.), trackballs, mice, and joysticks, which are not described herein again. Memory 609 may be used to store software programs as well as various data, including but not limited to application programs and operating systems. The processor 610 may integrate an application processor and a modem processor, wherein the application processor mainly processes an operating system, a user interface, and an application program, and the like, and the modem processor mainly processes wireless communication. It can be understood that, the above-mentioned modulation and demodulation processor may not be integrated into the processor 610.

The embodiments of the present application further provide a readable storage medium, where a program or an instruction is stored on the readable storage medium, and when the program or instruction is executed by a processor, each process of the foregoing time window detection method embodiment can be achieved, and can achieve The same technical effect, in order to avoid repetition, will not be repeated here.

Wherein, the processor is the processor in the electronic device described in the foregoing embodiments. The readable storage medium includes a computer-readable storage medium, such as a computer read-only memory (Read-Only Memory, ROM), a random access memory (Random Access Memory, RAM), a magnetic disk or an optical disk, and the like.

An embodiment of the present application further provides a chip, where the chip includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is configured to run a program or an instruction to implement the above-mentioned embodiment of the time window detection method and can achieve the same technical effect, in order to avoid repetition, it will not be repeated here.

It should be understood that the chip mentioned in the embodiments of the present application may also be referred to as a system-on-chip, a system-on-chip, a system-on-a-chip, or a system-on-a-chip, or the like.

It should be noted that, herein, the terms "comprising", "comprising" or any other variation thereof are intended to encompass non-exclusive inclusion, such that a process, method, article or device comprising a series of elements includes not only those elements, It also includes other elements not expressly listed or inherent to such a process, method, article or apparatus. Without further limitation, an element qualified by the phrase "comprising a..." does not preclude the presence of additional identical elements in a process, method, article or apparatus that includes the element. Furthermore, it should be noted that the scope of the methods and apparatus in the embodiments of the present application is not limited to performing the functions in the order shown or discussed, but may also include performing the functions in a substantially simultaneous manner or in the reverse order depending on the functions involved. To perform functions, for example, the described methods may be performed in an order different from that described, and various steps may also be added, omitted, or combined. Additionally, features described with reference to some examples may be combined in other examples.

From the description of the above embodiments, those skilled in the art can clearly understand that the method of the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is better implementation. Based on this understanding, the technical solution of the present application can be embodied in the form of a software product in essence or in a part that contributes to the prior art, and the computer software product is stored in a storage medium (such as ROM/RAM, magnetic disk, CD-ROM), including several instructions to make a terminal (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) execute the methods described in the various embodiments of this application.

The embodiments of the present application have been described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific embodiments, which are merely illustrative rather than restrictive. Under the inspiration of this application, without departing from the scope of protection of the purpose of this application and the claims, many forms can be made, which all fall within the protection of this application.

Claims (10)

1. a time window detection method, is characterized in that, described method comprises: Initializing a time window array, the time window array includes a plurality of time stamps located in the target time period, and the time interval corresponding to each two adjacent time stamps is used as a time window; When the data to be counted is received, the target time window to which the time stamp of the data belongs is queried from the time windows corresponding to two adjacent time stamps in the time window array. 2. The method according to claim 1, wherein the initialization time window array comprises: Determine the target period based on the current time; Selecting multiple timestamps within the target period based on a preset interval duration; The multiple timestamps are aggregated in chronological order to obtain a time window array. 3. The method according to claim 2, characterized in that, in the time window corresponding to each two adjacent time stamps in the time window array, querying the target time window to which the time stamp of the data belongs, comprising: : From the time window array, query the target timestamp whose difference between the timestamps of the data and the data is a positive number and less than or equal to the interval duration, and compare the target timestamp in the time window array with the previous time The time window formed by the stamp is used as the target time window. 4. The method according to claim 1, wherein, in the time window corresponding to each two adjacent time stamps in the time window array, querying the target time window to which the time stamp of the data belongs, comprising: : From the time window array, query the minimum timestamp greater than or equal to the timestamp of the data, and use the time window formed by the minimum timestamp and the previous timestamp in the time window as the target time window. 5. The method according to claim 1, wherein the method further comprises: In the case where the timestamp of the data is greater than the maximum timestamp in the time window array, the target period is updated based on the current time to obtain an updated target period, and based on the updated target period, the target period is updated. The array of time windows described. 6. A time window detection device, wherein the device comprises: an initialization unit, used to initialize a time window array, the time window array includes a plurality of time stamps located in the target time period, and the time interval corresponding to each two adjacent time stamps is used as a time window; The query unit is configured to query, from the time windows corresponding to two adjacent time stamps in the time window array, the target time window to which the time stamp of the data belongs, when the data to be counted is received. 7. The apparatus according to claim 1, wherein the initialization unit is further configured to: Determine the target period based on the current time; Selecting multiple timestamps within the target period based on a preset interval duration; The multiple timestamps are aggregated in chronological order to obtain a time window array. 8. The device according to claim 7, wherein the query unit is further configured to: From the time window array, query the target timestamp whose difference between the timestamps of the data and the data is a positive number and less than or equal to the interval duration, and compare the target timestamp in the time window array with the previous time The time window formed by the stamp is used as the target time window. 9. The apparatus according to claim 6, wherein the query unit is further configured to: From the time window array, query the minimum timestamp greater than or equal to the timestamp of the data, and use the time window formed by the minimum timestamp and the previous timestamp in the time window as the target time window. 10. The apparatus of claim 6, wherein the apparatus further comprises: The updating unit is configured to update the target period based on the current time when the timestamp of the data is greater than the maximum timestamp in the time window array to obtain the updated target period, and based on the updated target period Target period, update the time window array.

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