WO2013075486A1 - Method and device for counting in-service rate of network object - Google Patents

Method and device for counting in-service rate of network object Download PDF

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Publication number
WO2013075486A1
WO2013075486A1 PCT/CN2012/077615 CN2012077615W WO2013075486A1 WO 2013075486 A1 WO2013075486 A1 WO 2013075486A1 CN 2012077615 W CN2012077615 W CN 2012077615W WO 2013075486 A1 WO2013075486 A1 WO 2013075486A1
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Prior art keywords
time
network
configuration time
granularity
object configuration
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PCT/CN2012/077615
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French (fr)
Chinese (zh)
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司保锋
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中兴通讯股份有限公司
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Publication of WO2013075486A1 publication Critical patent/WO2013075486A1/en

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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/02Arrangements for optimising operational condition

Definitions

  • the present invention relates to the field of communications, and in particular to a statistical method and apparatus for a network object in a service rate.
  • Network management performance statistics are based on counters (COUNTER), operators concerned The metrics are calculated by these counters.
  • the cell runs due to some reasons, and the base station configuration data is abnormal. The resulting cell failure fails, and the base station loses power. These causes the counter data in the formula to be reported from the base station side to the network management side. If these times cannot be reported, the network management performance statistics are difficult to perform in the cell service rate. Statistically, even if the data can be counted, it is very inaccurate.
  • the above problems exist not only in the process of calculating the cell's service rate, but also in the network objects of other similar cells.
  • some communication vendors' network management performance statistics are calculated by letting the base station count the cell in service time, and the cell service time is calculated by using the performance statistics granularity and the number of spatial objects.
  • the performance statistics granularity indicates the statistical granularity of the performance data. For example, the statistical granularity of 15 minutes, 1 hour, or 1 day provided by the network management system; the number of spatial objects indicates the number of objects in the entire statistical space range, for example, the entire communication network. There are 5,000 cells in the cell. When the service rate statistics of the whole network cell are used, the number of spatial objects is 5000.
  • the problem but for the case where the base station is abnormally unable to report performance data, it still cannot be counted. Therefore, in the prior art, the cell service time or the cell out-of-service time required by the network management calculation needs to be reported from the base station side, and when the base station is in an abnormal state, the time cannot be reported to the network management side. Therefore, the mobile operator is unable to obtain a more accurate network object (including the cell) of the network object in the service rate.
  • the present invention provides a statistical method and apparatus for service rate of a network object to at least solve the above problems.
  • a statistical method for a network object in a service rate including: acquiring an object configuration time generated by a network management device for a network object; acquiring an object reported by the network object in a service time; and serving the time and object according to the object Configure the time to calculate the object rate of the network object.
  • the configuration time of the object generated by the network management device for the network object is obtained, including: after the network management is started, the preset collection granularity Gr is used as the collection period, and at the end of the collection period, the first object configuration time of the network object is generated;
  • the restart event when the restart period experienced by the network management system restart period exceeds the collection period, the second object configuration time is added for the network object;
  • the acquiring the object configuration time generated by the network management device for the network object further includes: calculating, when the network object is detected by the network management system, the third object configuration time before the network object is deleted, where the third object configuration time is less than the collection time.
  • the preset collection granularity is used as the collection period.
  • the first object configuration time of the network object is generated, including: acquiring a list of object types of the network object; determining, according to the object type list, whether the network object needs to generate an object Configuration time; in the case of determining that the object configuration time needs to be generated for the network object, traversing the network object, obtaining the object creation time T c of the network object, the current granularity collection time T g , and the current time T sys of the system; creating the time T according to the object c , the current granularity acquisition time T g , and the current system time T sys determine the first object configuration time.
  • the restarting event of the monitoring network management when the restarting time period experienced by the network management system restarting process exceeds the collection period, re-recording the second object configuration time for the network object, including: obtaining a list of object types of the network object; determining according to the object type list Whether the network object needs to generate the object configuration time; in the case of determining that the object configuration time needs to be generated for the network object, traversing the network object, obtaining the last granularity collection time T M saved in the network object, and the current system time T after the restart Q; judge the current time of the system after restarting T Q and last time Whether the difference TQ-T m of the granularity acquisition time T M is greater than or equal to the acquisition granularity Gr, and if so, determining that the second object configuration time is Gr*Integer[(T Q -T M )/ Gr], where Integer indicates Integer, otherwise, it is determined that there is no need to supplement the data.
  • a statistical device for a network object in a service rate including: a first obtaining module, configured to acquire an object configuration time generated by a network management device for a network object; and a second obtaining module configured to acquire a network
  • the object reported by the object is in service time; the calculation module is set to calculate the service rate of the object of the network object according to the object's service time and the object configuration time.
  • the first obtaining module includes: a generating unit, configured to: after the network management is started, use a preset collection granularity Gr as an acquisition period, and generate a first object configuration time of the network object at the end of the collection period; Set to monitor the restart event of the NMS.
  • the first obtaining module further includes: a second calculating unit, configured to: when the network object is detected to be deleted by the network management, calculate a third object configuration time before the network object is deleted, where the third object configuration time is less than the collecting time
  • the problem is difficult to count, and the object rate of the object that can obtain the network object is accurately obtained, so that the operator can timely and accurately understand the effect of the network service state when performing statistics on the service status of the network object.
  • FIG. 1 is a flow chart of a statistical method for a network object in a service rate according to an embodiment of the present invention
  • FIG. 2 is a schematic diagram of an object configuration time of a network object and a report of an object's service time according to an embodiment of the present invention
  • FIG. 4 is a flowchart of processing of a network management startup listener according to an embodiment of the present invention
  • FIG. 5 is a flowchart of processing of a network object deletion listener processing according to an embodiment of the present invention
  • 6 is a structural block diagram of a statistical device for a network object in a service rate according to an embodiment of the present invention
  • FIG. 7 is a structural block diagram of a statistical device for a network object in a service rate according to a preferred embodiment of the present invention.
  • the method mainly includes the following steps (step S102-step S106).
  • Step S102 Obtain an object configuration time generated by the network management tool for the network object.
  • Step S104 Acquire an object reported by the network object at the service time.
  • Step S106 Calculate the service rate of the object of the network object according to the object service time and the object configuration time.
  • the preset acquisition granularity Gr (in the industry, usually set to 15 min) may be used as the collection period, and at the end of the collection period, the first object configuration of the network object is generated.
  • the object type list of the network object may be first obtained, and the network object needs to generate the object configuration time according to the object type list.
  • the network object is traversed, and the object of the network object is obtained.
  • the creation time T c , the current granularity acquisition time T g , and the current system time T sys , and then the first object configuration time according to the object creation time T c , the current granularity acquisition time T g , and the current system time T sys are calculated according to the formula.
  • the second object configuration time is added for the network object, including: obtaining a list of object types of the network object; determining the network according to the object type list Whether the object needs to generate the object configuration time; in the case of determining that the object configuration time needs to be generated for the network object, traversing the network object, obtaining the last granularity collection time T M saved in the network object, and the current system time T Q after the restart ; difference restart the system after the current time T Q is determined and the particle size of the last acquisition time T m of the TQ-T m particle size not less than a collection Gr, if is determined that the second object is configured to time Gr * Integer [(T Q -T M )/ Gr], where Integer indicates rounding, otherwise it is determined that no data needs to be appended.
  • the performance data timing generator, the network management startup listener, and the configuration object deletion listener may be jointly created to obtain the first object configuration time, the second object configuration time, and the third object configuration, respectively. time.
  • the performance data timing generator can start the acquisition cycle with the acquisition granularity (Gr) of the performance data, and generate the first object configuration time at the end of each acquisition cycle; the network management startup listener listens to the network management each time. Start event (mainly for the restart event of the network management that exists in the actual situation), and when the backup condition is met, the missing data (that is, the second object configuration time) in the time period when the network management is restarted is added.
  • the configuration object delete listener monitors whether there is an event that the configuration object (that is, the network object configured by the network management system) is deleted by the network management system. When it is determined that the configuration object is deleted, the configuration object is also deleted but not yet recorded. Data (ie, third object configuration time) performs calculation and generation of performance data. For example, you can take the following scenario:
  • Configuration time current acquisition time - object creation time
  • current acquisition time indicates the current granularity collection time point, which is the integer of the acquisition granularity (Gr) If the configuration time is greater than or equal to the acquisition granularity (Gr), the object configuration time of the current granularity is Gr; if the configuration time is smaller than the acquisition granularity (Gr), the current granularity of the object configuration time is the calculated configuration time;
  • the unit of configuration time and collection granularity is s (seconds).
  • the network management startup listener monitors the network management startup completion event.
  • the historical performance data of the configuration object is queried to generate an entry. If the difference between the current collection time of the last one and the current system time is greater than or equal to Gr, the data is considered to be missing. In the case of the case, it is necessary to calculate the number of missing data (that is, the restart time temporarily lost monitoring when the network management restarts), and ensure that the difference between the current acquisition time of the supplemental data and the current time of the system is less than Gr.
  • the configuration object delete listener listens to the configuration object deletion, the current granularity configuration time is calculated.
  • the current granularity configuration time is calculated as: current system time - previous acquisition time, the previous acquisition time is located at the current An acquisition time before the system time and closest to the current system time, for example, Gr is 15 minutes (min), the current system time is 12:27, then the previous acquisition time is 12: 15, the current acquisition granularity configuration time is 12 Min.
  • Gr is 15 minutes (min)
  • the current system time is 12:27
  • the previous acquisition time is 12: 15
  • the current acquisition granularity configuration time is 12 Min.
  • the performance data generated by the network management system and the performance data reported by the base station are consistent.
  • BP No difference processing, that is, the performance data generated by the network management system is consistent with the performance statistics interface of the base station and the network management system, thereby ensuring the performance data generated by the network management system. All can be saved to the performance statistics database.
  • the network object (for example, the base station) performs statistical reporting of the object's service time according to the acquisition granularity (Gr).
  • the network management object of the network object is calculated according to the following new formula:
  • the service rate is the object configuration time of the object in the service time/network management side.
  • FIG. 2 is a schematic diagram of the object configuration time of the network object and the reporting time of the object in the service time according to the embodiment of the present invention.
  • the network management system After acquiring the object reported by the base station, the network management system will According to the obtained object in the service time and the object to be generated by the object, the object can be calculated according to the new formula in the above step F.
  • the method of reporting the service time of the network object is changed to the method of generating the object configuration time by the network management system, which solves the problem that the service time of the network object cannot be reported to the network management in the state where the base station is abnormal in the prior art.
  • the side thus causes the mobile operator to obtain a more accurate network object (including the cell) of the network object in the service rate.
  • the method for acquiring the first object configuration time, the second object configuration time, and the third object configuration time respectively will be described in detail below with reference to FIG. 3, FIG. 4 and FIG. It should be noted that since the three object configuration times are only different names in different states, the following description does not take exactly the same name as the three object configuration times in the claims.
  • FIG. 3 is a flowchart of processing of a performance data timing generator according to an embodiment of the present invention. As shown in FIG. 3, the flow includes the following steps.
  • the object type list is provided by a configuration file.
  • the content is an object type.
  • the parameters include: "whether to generate an object configuration time”, “corresponding measurement type id”, and "counter id”.
  • Tg Tsys - Tsys%Gr, where Tsys represents the current system time, Gr represents the acquisition granularity, and % represents the modulo.
  • step S306 determining whether the object configuration time is greater than or equal to the collection granularity. If the collection granularity is greater than or equal to the collection granularity, the network object is configured on the network management side for a time greater than or equal to one acquisition granularity, and the process proceeds to step S308. If the collection granularity is smaller than the collection granularity, the network object is represented by the network object. The object configuration time is less than one acquisition granularity, and the process proceeds to step S307.
  • FIG. 4 is a flowchart of processing of a network management startup listener according to an embodiment of the present invention. As shown in FIG. 4, the flow includes the following steps.
  • the object type list is provided by the configuration file side, and the content is an object type, and the parameters include: "whether to generate an object configuration time", “corresponding measurement type id", and "counter id” and the like.
  • Tg is obtained from historically generated performance data
  • the last historical data may be obtained from the network management database, It can be obtained through the historical data of the network management backup.
  • Tsys is also obtained.
  • Tsys-Tg is greater than or equal to Gr, it is considered that the network management has exceeded the performance data of the object configuration time of the object that does not generate the object, and the data needs to be re-recorded, and the process proceeds to S406; if the result of Tsys-Tg is less than Gr, It is considered that the network management does not exceed one acquisition granularity during the restart period in which the restart event occurs, and does not need to supplement the data.
  • FIG. 5 is a flowchart of processing performed by a network object deletion listener according to an embodiment of the present invention. As shown in FIG. 5, the flow includes the following steps.
  • FIG. 6 is a structural block diagram of a statistical device for a network object in a service rate according to an embodiment of the present invention.
  • the device is used to implement a statistical method for a network object in a service rate provided by the foregoing embodiment.
  • the device mainly includes: a first obtaining module 10, a second acquiring module 20, and a calculating module 30.
  • the first obtaining module 10 is configured to acquire an object configuration time generated by the network management device for the network object.
  • the second obtaining module 20 is connected to the first obtaining module 10, and is configured to acquire the object reported by the network object in the service time; the calculating module 30 And connecting to the second obtaining module 20, configured to calculate an object rate of the network object according to the object in the service time and the object configuration time.
  • FIG. 7 is a structural block diagram of a statistical apparatus for a network object in a service rate according to a preferred embodiment of the present invention.
  • the first obtaining module may include: a generating unit 12, a complement unit 14, and a first calculating unit 16.
  • the generating unit 12 is configured to: after the network management is started, set a pre-set acquisition granularity (Gr) as an acquisition period, and at the end of the collection period, generate a first object configuration time of the network object; the re-recording unit 14 is set to monitor In the restart event of the network management system, when the restart time period experienced by the network management system restarting process exceeds the collection period, the second object configuration time is added for the network object.
  • the statistics device of the network object in the service rate provided by the foregoing embodiment uses the statistical method of the network object in the service rate provided by the foregoing embodiment, and calculates the service time of the network object by using the object creation time and the object deletion time respectively, thereby Accurately obtain the service rate of the object of the network object, so that the operator can timely and accurately understand the state of the network service when performing statistics on the service status of the network object. From the above description, it can be seen that the present invention achieves the following technical effects: Compared with the prior art, an improvement in the statistical accuracy of the service rate of the object is obtained, so that the operator can timely perform the network object service status.
  • the object configuration time generated by the present invention is statistically accurate, and is calculated by the object creation time and the object deletion time respectively;
  • the object of the present invention is The service rate statistics are more accurate than the statistics reported by the base station reporting method, especially solving the statistical problem of the object service time in the case of base station reset and base station power failure.
  • the computing device may be implemented by program code executable by the computing device, such that they may be stored in the storage device by the computing device and, in some cases, may be different from the order herein.
  • the steps shown or described are performed, or they are separately fabricated into individual integrated circuit modules, or a plurality of modules or steps are fabricated as a single integrated circuit module.
  • the invention is not limited to any specific combination of hardware and software.
  • the above is only the preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes can be made to the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and scope of the present invention are intended to be included within the scope of the present invention.

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Abstract

Disclosed are a method and device for counting the in-service rate of a network object. The method includes: acquiring the object configuration time generated for a network object by a network administrator; acquiring the object in-service time reported by the network object; and calculating the object in-service rate of the network object according to the object in-service time and the object configuration time. The present invention can accurately obtain the object in-service rate of a network object, so that an operator can learn the network service state accurately in time when counting the service situation of the network object.

Description

网络对象在服率的统计方法及装置 技术领域 本发明涉及通信领域, 具体而言, 涉及一种网络对象在服率的统计方法及装置。 背景技术 3GPP (3rd Generation Partnership Project, 第三代移动通讯伙伴计划) 的协议标准 中明确规定了对小区在服率的统计, 其统计方式为统计出小区不在服的时间, 再算出 小区在服时间, 然后通过以下公式计算得到小区在服率: 小区在服率 = (小区应服务时间 -小区不在服时间) /小区应服务时间 网管性能统计的基础是计数器(COUNTER), 运营商所关心的各项指标都是通过 这些计数器计算得到的。 关于小区在服率指标的计算, 当前行业中存在一定的统计困 难, 主要表现在小区不在服时间和小区应服务时间的统计上, 例如: 由于某些原因导 致的小区跑死、 基站配置数据异常导致的小区建立失败, 及基站掉电等; 这些原因都 使得公式中计数器的数据无法从基站侧上报到网管侧,而无法上报这些时间的情况下, 网管性能统计是很难进行小区在服率统计的, 即便是能统计出数据, 也非常不准确, 上述问题不仅仅存在于在计算小区在服率的过程中, 而且也存在于其他类似小区的网 络对象中。 为解决上述问题, 部分通讯厂商的网管性能统计中通过让基站统计小区在服时间 来进行统计计算, 小区应服务时间采用性能统计粒度和空间对象个数来计算。 性能统 计粒度表示性能数据的统计粒度, 例如: 网管提供的 15分钟、 1小时, 或 1天等类似 这样的统计粒度; 空间对象个数表示整个统计空间范围的对象个数, 例如, 整个通讯 网络中有 5000个小区,在进行全网小区的在服率统计的时候,空间对象个数就是 5000, 这样的统计方式虽然可以在某种程度上解决小区应服务时间和小区不在服时间难以统 计的问题, 但对于基站异常无法上报性能数据的情况, 仍然无法统计。 由此可见, 在现有技术中, 网管计算所需要的小区应服务时间或小区不在服时间 都是需要从基站侧上报上的, 而当基站在异常状态下, 这些时间是无法上报到网管侧 的, 从而致使移动运营商无法获得较为精确的网络对象 (包括小区在内) 的网络对象 在服率。 发明内容 本发明提供一种网络对象在服率的统计方法及装置, 以至少解决上述问题。 根据本发明的一个方面, 提供了一种网络对象在服率的统计方法, 包括: 获取网 管为网络对象生成的对象配置时间; 获取网络对象上报的对象在服时间; 根据对象在 服时间与对象配置时间计算网络对象的对象在服率。 优选地, 获取网管为网络对象生成的对象配置时间, 包括: 在网管启动后, 将预 先设置的采集粒度 Gr作为采集周期,在采集周期结束时,生成网络对象的第一对象配 置时间; 监听网管的重启事件,在网管重启过程所经历的重启时间段超过采集周期时, 为网络对象补录第二对象配置时间;根据以下公式计算对象配置时间:对象配置时间 = 第一对象配置时间 +第二对象配置时间。 优选地, 获取网管为网络对象生成的对象配置时间, 还包括: 在监听到网络对象 被网管删除时, 计算网络对象在被删除之前的第三对象配置时间, 其中, 第三对象配 置时间小于采集周期;根据以下公式计算对象配置时间:对象配置时间 =第一对象配置 时间 +第二对象配置时间 +第三对象配置时间。 优选地, 将预先设置的采集粒度作为采集周期, 在采集周期结束时, 生成网络对 象的第一对象配置时间, 包括: 获取网络对象的对象类型列表; 根据对象类型列表判 断网络对象是否需要生成对象配置时间; 在判定需要为网络对象生成对象配置时间的 情况下, 遍历网络对象, 获取网络对象的对象创建时间 Tc、 当前粒度采集时间 Tg, 及 系统当前时间 Tsys;根据对象创建时间 Tc、当前粒度采集时间 Tg,及系统当前时间 Tsys 确定第一对象配置时间。 优选地, 性能数据定时生成器根据对象创建时间 Tc、 当前粒度采集时间 Tg, 及系 统当前时间 Tsys确定第一对象配置时间, 包括: 根据公式计算当前粒度配置时间 Tg: Tg = Tsys - Tsys%Gr, 其中, %表示取模; 根据公式计算网络对象的对象存在时间 Th: Th = Tg - TC; 判断对象存在时间 Th是否大于等于采集粒度 Gr, 如果是, 确定第一对象 配置时间为采集粒度 Gr, 否则, 确定第一对象配置时间为对象存在时间 Th。 优选地, 监听网管的重启事件, 在网管重启过程所经历的重启时间段超过采集周 期时, 为网络对象补录第二对象配置时间, 包括: 获取网络对象的对象类型列表; 根 据对象类型列表判断网络对象是否需要生成对象配置时间; 在判定需要为网络对象生 成对象配置时间的情况下, 遍历网络对象, 获取网络对象中保存的最后一次的粒度采 集时间 TM, 及重启后的系统当前时间 TQ; 判断重启后的系统当前时间 TQ与最后一次 的粒度采集时间 TM的差值 TQ-Tm是否大于等于采集粒度 Gr, 如果是, 确定第二对象 配置时间为 Gr*Integer[(TQ-TM)/ Gr], 其中, Integer表示取整, 否则, 确定无需补录数 据。 优选地, 在监听到网络对象被网管删除时, 计算网络对象在被删除之前的第三对 象配置时间, 包括: 监听网络对象, 确定网络对象被删除; 获取删除后的当前系统时 间 Ts, 根据公式 TF = Ts - Ts%Gr计算删除前的粒度采集时间 TF; 根据当前系统时间 Ts与删除前的粒度采集时间 TF的差值确定第三对象配置时间为 Ts%Gr。 根据本发明的另一方面, 提供了一种网络对象在服率的统计装置, 包括: 第一获 取模块, 设置为获取网管为网络对象生成的对象配置时间; 第二获取模块, 设置为获 取网络对象上报的对象在服时间; 计算模块, 设置为根据对象在服时间与对象配置时 间计算网络对象的对象在服率。 优选地, 第一获取模块包括: 生成单元, 设置为在网管启动后, 将预先设置的采 集粒度 Gr作为采集周期, 在采集周期结束时, 生成网络对象的第一对象配置时间; 补 录单元, 设置为监听网管的重启事件, 在网管重启过程所经历的重启时间段超过采集 周期时, 为网络对象补录第二对象配置时间; 第一计算单元, 设置为根据以下公式计 算对象配置时间: 对象配置时间 =第一对象配置时间 +第二对象配置时间。 优选地, 第一获取模块还包括: 第二计算单元, 设置为在监听到网络对象被网管 删除时, 计算网络对象在被删除之前的第三对象配置时间, 其中, 第三对象配置时间 小于采集周期; 第一计算单元还设置为根据以下公式计算对象配置时间: 对象配置时 间=第一对象配置时间 +第二对象配置时间 +第三对象配置时间。 通过本发明, 采用分别通过对象创建时间和对象删除时间来计算网络对象的应服 务时间的方式, 解决了现有技术中由于基站异常无法上报性能数据的情况导致小区应 服务时间和小区不在服时间难以统计的问题, 进而达到了可以精确得到网络对象的对 象在服率, 使得运营商在进行网络对象的服务情况统计时, 能够及时、 准确地了解网 络服务状态的效果。 附图说明 此处所说明的附图用来提供对本发明的进一步理解, 构成本申请的一部分, 本发 明的示意性实施例及其说明用于解释本发明, 并不构成对本发明的不当限定。 在附图 中: 图 1是根据本发明实施例的网络对象在服率的统计方法流程图; 图 2是根据本发明实施例的网络对象的对象配置时间和对象在服时间的上报示意 图; 图 3是根据本发明实施例的性能数据定时生成器的处理流程图; 图 4是根据本发明实施例的网管启动监听器的处理流程图; 图 5是根据本发明实施例的网络对象删除监听器处理的处理流程图; 图 6是根据本发明实施例的网络对象在服率的统计装置的结构框图; 以及 图 7是根据本发明优选实施例的网络对象在服率的统计装置的结构框图。 具体实施方式 下文中将参考附图并结合实施例来详细说明本发明。 需要说明的是, 在不冲突的 情况下, 本申请中的实施例及实施例中的特征可以相互组合。 图 1是根据本发明实施例的网络对象在服率的统计方法流程图, 如图 1所示, 该 方法主要包括以下步骤 (步骤 S102-步骤 S106)。 步骤 S102, 获取网管为网络对象生成的对象配置时间。 步骤 S104, 获取网络对象上报的对象在服时间。 步骤 S106, 根据对象在服时间与对象配置时间计算网络对象的对象在服率。 其中, 在步骤 S102, 在网管启动后, 可以将预先设置的采集粒度 (Gr) (在本行 业内, 通常设置为 15min) 作为采集周期, 在采集周期结束时, 生成网络对象的第一 对象配置时间, 同时监听网管的重启事件, 在网管重启过程所经历的重启时间段超过 采集周期时, 为网络对象补录第二对象配置时间, 再根据以下公式计算对象配置时间: 对象配置时间 =第一对象配置时间 +第二对象配置时间。 具体地, 可以首先获取网络对象的对象类型列表, 根据对象类型列表判断网络对 象是否需要生成对象配置时间, 在判定需要为网络对象生成对象配置时间的情况下, 遍历网络对象, 获取网络对象的对象创建时间 Tc、 当前粒度采集时间 Tg, 及系统当前 时间 Tsys, 再根据对象创建时间 Tc、 当前粒度采集时间 Tg, 及系统当前时间 Tsys确定 第一对象配置时间, 根据公式计算当前粒度配置时间 Tg: Tg = Tsys - Tsys%Gr, 其中, % 表示取模; 根据公式计算网络对象的对象存在时间 Th: Th = Tg - TC; 判断对象存在时 间 Th是否大于等于采集粒度 Gr, 如果是, 确定第一对象配置时间为采集粒度 Gr, 否 贝 U, 确定第一对象配置时间为对象存在时间 Th。 其中, 监听网管的重启事件, 在网管重启过程所经历的重启时间段超过采集周期 时, 为网络对象补录第二对象配置时间, 包括: 获取网络对象的对象类型列表; 根据 对象类型列表判断网络对象是否需要生成对象配置时间; 在判定需要为网络对象生成 对象配置时间的情况下, 遍历网络对象, 获取网络对象中保存的最后一次的粒度采集 时间 TM, 及重启后的系统当前时间 TQ; 判断重启后的系统当前时间 TQ与最后一次的 粒度采集时间 TM的差值 TQ-Tm是否大于等于采集粒度 Gr, 如果是, 确定第二对象配 置时间为 Gr*Integer[(TQ-TM)/ Gr], 其中, Integer表示取整, 否则, 确定无需补录数据。 在实际应用中, 优选地, 在步骤 S 102 , 还可以监听网络对象是否被网管删除, 在 监听到网络对象被网管删除时, 计算网络对象在被删除之前的第三对象配置时间, 其 中, 第三对象配置时间小于采集周期; 可以根据以下公式计算对象配置时间: 对象配 置时间 =第一对象配置时间 +第二对象配置时间 +第三对象配置时间。 其中, 在监听到网络对象被网管删除时, 计算网络对象在被删除之前的第三对象 配置时间, 包括: 监听网络对象, 确定网络对象被删除; 获取删除后的当前系统时间 Ts, 根据公式 TF = Ts - Ts%Gr计算删除前的粒度采集时间 TF, 根据所述当前系统时间 Ts与所述删除前的粒度采集时间 TF的差值确定第三对象配置时间为 Ts%Gr。 在实际应用中, 可以在网管启动时, 连带创建性能数据定时生成器、 网管启动监 听器、 配置对象删除监听器, 以分别获取上述第一对象配置时间、 第二对象配置时间 和第三对象配置时间。 需要说明的是, 性能数据定时生成器可以以性能数据的采集粒 度 (Gr) 为采集周期定时启动, 在每个采集周期结束时, 生成第一对象配置时间; 网 管启动监听器监听网管的每次启动事件 (主要针对实际中存在的网管因各种原因导致 的重新启动事件), 并在满足补录条件时, 将网管重启的时间段内的缺失数据(即第二 对象配置时间) 进行补录生成; 配置对象删除监听器监听是否存在配置对象 (即网管 配置的网络对象) 被网管删除的事件, 当确定配置对象被删除的时候, 也同样将配置 对象被删除之前服务的但尚未被记录的数据 (即第三对象配置时间) 进行性能数据的 计算和生成。 例如, 可以采取如下方案: TECHNICAL FIELD The present invention relates to the field of communications, and in particular to a statistical method and apparatus for a network object in a service rate. BACKGROUND The 3GPP (3rd Generation Partnership Project) protocol standard specifies the statistics of the service rate of a cell, and the statistical method is to count the time when the cell is not in service, and then calculate the service time of the cell. Then, the cell occupancy rate is calculated by the following formula: Cell service rate = (cell service time - cell out of service time) / cell service time Network management performance statistics are based on counters (COUNTER), operators concerned The metrics are calculated by these counters. Regarding the calculation of the service rate index of the cell, there are certain statistical difficulties in the current industry, mainly in the statistics of the cell out-of-service time and the service time of the cell, for example: the cell runs due to some reasons, and the base station configuration data is abnormal. The resulting cell failure fails, and the base station loses power. These causes the counter data in the formula to be reported from the base station side to the network management side. If these times cannot be reported, the network management performance statistics are difficult to perform in the cell service rate. Statistically, even if the data can be counted, it is very inaccurate. The above problems exist not only in the process of calculating the cell's service rate, but also in the network objects of other similar cells. In order to solve the above problem, some communication vendors' network management performance statistics are calculated by letting the base station count the cell in service time, and the cell service time is calculated by using the performance statistics granularity and the number of spatial objects. The performance statistics granularity indicates the statistical granularity of the performance data. For example, the statistical granularity of 15 minutes, 1 hour, or 1 day provided by the network management system; the number of spatial objects indicates the number of objects in the entire statistical space range, for example, the entire communication network. There are 5,000 cells in the cell. When the service rate statistics of the whole network cell are used, the number of spatial objects is 5000. Although this statistical method can solve the problem that the cell service time and the cell not service time are difficult to calculate to some extent. The problem, but for the case where the base station is abnormally unable to report performance data, it still cannot be counted. Therefore, in the prior art, the cell service time or the cell out-of-service time required by the network management calculation needs to be reported from the base station side, and when the base station is in an abnormal state, the time cannot be reported to the network management side. Therefore, the mobile operator is unable to obtain a more accurate network object (including the cell) of the network object in the service rate. SUMMARY OF THE INVENTION The present invention provides a statistical method and apparatus for service rate of a network object to at least solve the above problems. According to an aspect of the present invention, a statistical method for a network object in a service rate is provided, including: acquiring an object configuration time generated by a network management device for a network object; acquiring an object reported by the network object in a service time; and serving the time and object according to the object Configure the time to calculate the object rate of the network object. Preferably, the configuration time of the object generated by the network management device for the network object is obtained, including: after the network management is started, the preset collection granularity Gr is used as the collection period, and at the end of the collection period, the first object configuration time of the network object is generated; The restart event, when the restart period experienced by the network management system restart period exceeds the collection period, the second object configuration time is added for the network object; the object configuration time is calculated according to the following formula: object configuration time = first object configuration time + second Object configuration time. Preferably, the acquiring the object configuration time generated by the network management device for the network object further includes: calculating, when the network object is detected by the network management system, the third object configuration time before the network object is deleted, where the third object configuration time is less than the collection time. Period; the object configuration time is calculated according to the following formula: object configuration time = first object configuration time + second object configuration time + third object configuration time. Preferably, the preset collection granularity is used as the collection period. At the end of the collection period, the first object configuration time of the network object is generated, including: acquiring a list of object types of the network object; determining, according to the object type list, whether the network object needs to generate an object Configuration time; in the case of determining that the object configuration time needs to be generated for the network object, traversing the network object, obtaining the object creation time T c of the network object, the current granularity collection time T g , and the current time T sys of the system; creating the time T according to the object c , the current granularity acquisition time T g , and the current system time T sys determine the first object configuration time. Preferably, the performance data timing generator determines the first object configuration time according to the object creation time T c , the current granularity acquisition time T g , and the system current time Tsys, including: calculating the current granularity configuration time T g according to the formula : T g = T Sys - T sys %Gr, where % means modulo; according to the formula, the object existence time of the network object is calculated : T h = T g - T C ; determining whether the object existence time T h is greater than or equal to the acquisition granularity Gr, if The first object configuration time is determined as the acquisition granularity Gr, otherwise, the first object configuration time is determined as the object existence time T h . Preferably, the restarting event of the monitoring network management, when the restarting time period experienced by the network management system restarting process exceeds the collection period, re-recording the second object configuration time for the network object, including: obtaining a list of object types of the network object; determining according to the object type list Whether the network object needs to generate the object configuration time; in the case of determining that the object configuration time needs to be generated for the network object, traversing the network object, obtaining the last granularity collection time T M saved in the network object, and the current system time T after the restart Q; judge the current time of the system after restarting T Q and last time Whether the difference TQ-T m of the granularity acquisition time T M is greater than or equal to the acquisition granularity Gr, and if so, determining that the second object configuration time is Gr*Integer[(T Q -T M )/ Gr], where Integer indicates Integer, otherwise, it is determined that there is no need to supplement the data. Preferably, when the network object is detected to be deleted by the network management, calculating a third object configuration time before the network object is deleted, including: listening to the network object, determining that the network object is deleted; obtaining the current system time T s after the deletion, according to The formula T F = T s - T s %Gr calculates the granularity acquisition time T F before deletion ; determines the third object configuration time as T s %Gr according to the difference between the current system time T s and the granularity acquisition time T F before deletion . According to another aspect of the present invention, a statistical device for a network object in a service rate is provided, including: a first obtaining module, configured to acquire an object configuration time generated by a network management device for a network object; and a second obtaining module configured to acquire a network The object reported by the object is in service time; the calculation module is set to calculate the service rate of the object of the network object according to the object's service time and the object configuration time. Preferably, the first obtaining module includes: a generating unit, configured to: after the network management is started, use a preset collection granularity Gr as an acquisition period, and generate a first object configuration time of the network object at the end of the collection period; Set to monitor the restart event of the NMS. When the restart time period experienced by the NMS restart process exceeds the collection period, the second object configuration time is added for the network object. The first calculation unit is set to calculate the object configuration time according to the following formula: Configuration time = first object configuration time + second object configuration time. Preferably, the first obtaining module further includes: a second calculating unit, configured to: when the network object is detected to be deleted by the network management, calculate a third object configuration time before the network object is deleted, where the third object configuration time is less than the collecting time The first calculation unit is further configured to calculate the object configuration time according to the following formula: object configuration time=first object configuration time+second object configuration time+third object configuration time. The method for calculating the service time of the network object by using the object creation time and the object deletion time respectively, and solving the problem that the cell service time and the cell unservice time are caused by the situation that the base station abnormally fails to report the performance data in the prior art. The problem is difficult to count, and the object rate of the object that can obtain the network object is accurately obtained, so that the operator can timely and accurately understand the effect of the network service state when performing statistics on the service status of the network object. BRIEF DESCRIPTION OF THE DRAWINGS The accompanying drawings, which are set to illustrate,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, In the drawing: 1 is a flow chart of a statistical method for a network object in a service rate according to an embodiment of the present invention; FIG. 2 is a schematic diagram of an object configuration time of a network object and a report of an object's service time according to an embodiment of the present invention; FIG. 4 is a flowchart of processing of a network management startup listener according to an embodiment of the present invention; FIG. 5 is a flowchart of processing of a network object deletion listener processing according to an embodiment of the present invention; 6 is a structural block diagram of a statistical device for a network object in a service rate according to an embodiment of the present invention; and FIG. 7 is a structural block diagram of a statistical device for a network object in a service rate according to a preferred embodiment of the present invention. BEST MODE FOR CARRYING OUT THE INVENTION Hereinafter, the present invention will be described in detail with reference to the accompanying drawings. It should be noted that the embodiments in the present application and the features in the embodiments may be combined with each other without conflict. FIG. 1 is a flowchart of a statistical method for a network object in a service rate according to an embodiment of the present invention. As shown in FIG. 1, the method mainly includes the following steps (step S102-step S106). Step S102: Obtain an object configuration time generated by the network management tool for the network object. Step S104: Acquire an object reported by the network object at the service time. Step S106: Calculate the service rate of the object of the network object according to the object service time and the object configuration time. In step S102, after the network management is started, the preset acquisition granularity (Gr) (in the industry, usually set to 15 min) may be used as the collection period, and at the end of the collection period, the first object configuration of the network object is generated. Time, while listening to the restart event of the network management, when the restart period experienced by the network management system restarts exceeds the collection period, the second object configuration time is added for the network object, and the object configuration time is calculated according to the following formula: Object configuration time = first Object configuration time + second object configuration time. Specifically, the object type list of the network object may be first obtained, and the network object needs to generate the object configuration time according to the object type list. When it is determined that the object configuration time needs to be generated for the network object, the network object is traversed, and the object of the network object is obtained. The creation time T c , the current granularity acquisition time T g , and the current system time T sys , and then the first object configuration time according to the object creation time T c , the current granularity acquisition time T g , and the current system time T sys are calculated according to the formula. Current granularity configuration time T g: T g = T sys - T sys %Gr, where, % Determining the modulo; calculating the object existence time of the network object according to the formula T h: T h = T g - T C ; determining whether the object existence time T h is greater than or equal to the acquisition granularity Gr, and if so, determining the first object configuration time as the acquisition granularity Gr, No Bay U, determines the first object configuration time as the object existence time T h . In the restart event of the monitoring network management, when the restart time period experienced by the network management system restarting process exceeds the collection period, the second object configuration time is added for the network object, including: obtaining a list of object types of the network object; determining the network according to the object type list Whether the object needs to generate the object configuration time; in the case of determining that the object configuration time needs to be generated for the network object, traversing the network object, obtaining the last granularity collection time T M saved in the network object, and the current system time T Q after the restart ; difference restart the system after the current time T Q is determined and the particle size of the last acquisition time T m of the TQ-T m particle size not less than a collection Gr, if is determined that the second object is configured to time Gr * Integer [(T Q -T M )/ Gr], where Integer indicates rounding, otherwise it is determined that no data needs to be appended. In an actual application, preferably, in step S102, it is also possible to monitor whether the network object is deleted by the network management, and when the network object is detected to be deleted by the network management, calculate a third object configuration time before the network object is deleted, where The three object configuration time is less than the acquisition period; the object configuration time can be calculated according to the following formula: object configuration time = first object configuration time + second object configuration time + third object configuration time. The third object configuration time before the network object is deleted by the network management is calculated, including: listening to the network object, determining that the network object is deleted; obtaining the current system time T s after the deletion, according to the formula T F = T s - T s %Gr calculates the granularity acquisition time T F before deletion, and determines the third object configuration time as T according to the difference between the current system time T s and the granularity acquisition time T F before the deletion. s %Gr. In the actual application, when the network management is started, the performance data timing generator, the network management startup listener, and the configuration object deletion listener may be jointly created to obtain the first object configuration time, the second object configuration time, and the third object configuration, respectively. time. It should be noted that the performance data timing generator can start the acquisition cycle with the acquisition granularity (Gr) of the performance data, and generate the first object configuration time at the end of each acquisition cycle; the network management startup listener listens to the network management each time. Start event (mainly for the restart event of the network management that exists in the actual situation), and when the backup condition is met, the missing data (that is, the second object configuration time) in the time period when the network management is restarted is added. The configuration object delete listener monitors whether there is an event that the configuration object (that is, the network object configured by the network management system) is deleted by the network management system. When it is determined that the configuration object is deleted, the configuration object is also deleted but not yet recorded. Data (ie, third object configuration time) performs calculation and generation of performance data. For example, you can take the following scenario:
A. 网管启动时, 连带创建性能数据定时生成器、 网管启动监听器、 配置对象删 除监听器。 B . 性能数据定时生成器的每个采集周期 (采集粒度) 结束时, 查询网管配置的 网络对象的配置对象数据, 根据配置对象数据中的配置对象的位置信息进行性能数据 的生成, 生成此配置对象的当前粒度的配置时间, 当前粒度的配置时间计算需要首先 计算配置时间: 配置时间=当前采集时间-对象创建时间; 当前采集时间表示当前粒度的采集时间点, 是采集粒度 (Gr) 的整数倍; 如果配置时间大于等于采集粒度 (Gr), 则当前粒度的对象配置时间就为 Gr; 如果配置时间小于采集粒度 (Gr), 则当前粒度的对象配置时间就是计算得到的配 置时间; 其中, 配置时间和采集粒度的单位都是 s (秒)。 A. When the network management is started, the performance data timing generator, the network management startup listener, and the configuration object deletion listener are created. B. At the end of each acquisition cycle (acquisition granularity) of the performance data timing generator, the configuration object data of the network object configured by the network management is searched, and the performance data is generated according to the location information of the configuration object in the configuration object data, and the configuration is generated. The configuration time of the current granularity of the object, the configuration time of the current granularity needs to calculate the configuration time first: Configuration time = current acquisition time - object creation time; current acquisition time indicates the current granularity collection time point, which is the integer of the acquisition granularity (Gr) If the configuration time is greater than or equal to the acquisition granularity (Gr), the object configuration time of the current granularity is Gr; if the configuration time is smaller than the acquisition granularity (Gr), the current granularity of the object configuration time is the calculated configuration time; The unit of configuration time and collection granularity is s (seconds).
C. 网管启动监听器监听网管启动完成事件, 当网管启动完成时, 查询配置对象 的历史性能数据生成条目, 如果最后一条的当前采集时间和系统当前时间之差大于等 于 Gr的话, 认为有缺失数据的情况, 则需要计算缺失数据条数(即网管重启时暂时失 去监控的重启时间), 保证补录数据的当前采集时间和系统当前时间之差小于 Gr。 D. 配置对象删除监听器监听到配置对象删除的时候, 进行当前粒度的配置时间 的计算, 当前粒度的配置时间的计算方式为: 当前系统时间-前一采集时间, 前一采集 时间为位于当前系统时间之前且距离当前系统时间最近的一个采集时间, 例如, Gr为 15分钟 (min), 当前系统时间是 12: 27, 则前一采集时间就是 12: 15, 当前采集粒 度的配置时间就是 12 min。 E. 使网管生成的性能数据和基站上报的性能数据的梳理机制保持一致, BP : 无 差别处理, 也就是网管生成的性能数据同时符合基站和网管的性能统计接口, 从而保 证网管生成的性能数据全部能保存到性能统计数据库中。 C. The network management startup listener monitors the network management startup completion event. When the network management startup is complete, the historical performance data of the configuration object is queried to generate an entry. If the difference between the current collection time of the last one and the current system time is greater than or equal to Gr, the data is considered to be missing. In the case of the case, it is necessary to calculate the number of missing data (that is, the restart time temporarily lost monitoring when the network management restarts), and ensure that the difference between the current acquisition time of the supplemental data and the current time of the system is less than Gr. D. When the configuration object delete listener listens to the configuration object deletion, the current granularity configuration time is calculated. The current granularity configuration time is calculated as: current system time - previous acquisition time, the previous acquisition time is located at the current An acquisition time before the system time and closest to the current system time, for example, Gr is 15 minutes (min), the current system time is 12:27, then the previous acquisition time is 12: 15, the current acquisition granularity configuration time is 12 Min. E. The performance data generated by the network management system and the performance data reported by the base station are consistent. BP: No difference processing, that is, the performance data generated by the network management system is consistent with the performance statistics interface of the base station and the network management system, thereby ensuring the performance data generated by the network management system. All can be saved to the performance statistics database.
F. 网络对象 (例如, 基站) 按照采集粒度 (Gr) 进行对象在服时间的统计上报。 F. The network object (for example, the base station) performs statistical reporting of the object's service time according to the acquisition granularity (Gr).
G. 网管对网络对象的对象在服率计算按照以下的新公式进行计算: 对象在服率 =对象在服时间 /网管侧的对象配置时间。 同时请参考图 2, 图 2是根据本发明实施例的网络对象的对象配置时间和对象在 服时间的上报示意图, 如图 2所示, 在获取到基站上报的对象在服时间之后, 网管将 其根据获取的对象在服时间和其生成的对象应服时间, 即可根据上述步骤 F中的新公 式进行对象在服率的计算。 经过上述方案中将由网络对象上报应服务时间的方式改为 由网管生成对象配置时间的方式, 解决了现有技术中的在基站发生异常的状态下, 网 络对象的应服务时间是无法上报到网管侧从而致使移动运营商无法获得较为精确的网 络对象 (包括小区在内) 的网络对象在服率。 下面结合附图 3、 附图 4和附图 5对分别获取第一对象配置时间、 第二对象配置 时间和第三对象配置时间的方法进行详细描述。 需要说明的是, 由于三个对象配置时间只是在不同状态下的不同称呼而已, 以下 描述中并没有与权利要求中对三个对象配置时间采取完全一样的称呼。 例如, 较短时 间内, 没有发生网管重启或者网管删除配置对象的事件, 那么只要生成了第一对象配 置时间即可得到网络对象的对象配置时间, 而在较长时间内, 可能网管重启的事件和 网管删除配置对象的事件, 那么则需要将三个对象配置时间相加才能得到网络对象总 的应服务时间 (及对象配置时间)。 以下描述过程中, 为了方便理解, 将三种情况下获 得网络对象的对象配置时间的流程进行独立介绍, 但是并不代表三种情况下的对象配 置时间的获取是完全独立的, 恰恰相反, 在实际应用中, 三种情况是均存在的, 三种 时间是都需要计算的, 正是采用这样的方式,才使得网络对象的在服率统计更加精准。 图 3是根据本发明实施例的性能数据定时生成器的处理流程图, 如图 3所示, 该 流程包括以下步骤。 G. The network management object of the network object is calculated according to the following new formula: The service rate is the object configuration time of the object in the service time/network management side. Referring to FIG. 2, FIG. 2 is a schematic diagram of the object configuration time of the network object and the reporting time of the object in the service time according to the embodiment of the present invention. As shown in FIG. 2, after acquiring the object reported by the base station, the network management system will According to the obtained object in the service time and the object to be generated by the object, the object can be calculated according to the new formula in the above step F. In the above solution, the method of reporting the service time of the network object is changed to the method of generating the object configuration time by the network management system, which solves the problem that the service time of the network object cannot be reported to the network management in the state where the base station is abnormal in the prior art. The side thus causes the mobile operator to obtain a more accurate network object (including the cell) of the network object in the service rate. The method for acquiring the first object configuration time, the second object configuration time, and the third object configuration time respectively will be described in detail below with reference to FIG. 3, FIG. 4 and FIG. It should be noted that since the three object configuration times are only different names in different states, the following description does not take exactly the same name as the three object configuration times in the claims. For example, in a short period of time, there is no event that the network management is restarted or the network management system deletes the configuration object. As long as the first object configuration time is generated, the object configuration time of the network object can be obtained, and in a long period of time, the network management system may restart. And the network management deletes the event of the configuration object, then you need to add the three object configuration times to get the total service time (and object configuration time) of the network object. In the following description process, for the sake of easy understanding, the process of obtaining the object configuration time of the network object in three cases is independently introduced, but it does not mean that the acquisition of the object configuration time in three cases is completely independent, on the contrary, In practical applications, all three situations exist, and all three kinds of time need to be calculated. It is in this way that the network object's service rate statistics are more accurate. FIG. 3 is a flowchart of processing of a performance data timing generator according to an embodiment of the present invention. As shown in FIG. 3, the flow includes the following steps.
5301 , 获取对象类型列表, 该对象类型列表由配置文件方提供, 内容为对象类型, 参数包括: "是否生成对象配置时间", "对应的测量类型 id", 以及"计数器 id"等信息。 5301. Obtain a list of object types. The object type list is provided by a configuration file. The content is an object type. The parameters include: "whether to generate an object configuration time", "corresponding measurement type id", and "counter id".
5302, 根据"是否生成对象配置时间"判断对象类型是否需要生成对象配置时间的 性能数据, 如果不需要, 则结束当前流程, 如果需要, 则进入步骤 S303。 5302. Determine whether the object type needs to generate performance data of the object configuration time according to "whether or not the object configuration time is generated." If not, the current process is ended. If necessary, the process proceeds to step S303.
5303 , 从数据库中读取该对象类型的配置对象信息。  5303. Read configuration object information of the object type from the database.
5304, 遍历从数据库获取到的配置对象, 并获取网络对象的对象创建时间 Tc, 当 前粒度的采集时间 Tg, 其中, 当期粒度的采集时间 Tg计算公式如下: 5304, traversing the configuration object obtained from the database, and acquiring the object creation time Tc of the network object, the current granularity collection time Tg, wherein the current granularity collection time Tg is calculated as follows:
Tg = Tsys - Tsys%Gr, 其中, Tsys表示当前的系统时间, Gr表示采集粒度, %表 示取模。 Tg = Tsys - Tsys%Gr, where Tsys represents the current system time, Gr represents the acquisition granularity, and % represents the modulo.
S305 , 计算对象配置时间 Th, 该时间表示该网络对象在网管侧已经配置了多长时 间, 公式如下: Th = Tg _ Tc。 S305. Calculate an object configuration time Th. The time indicates how long the network object has been configured on the network management side. The formula is as follows: Th = Tg _ Tc.
S306, 判断对象配置时间是否大于等于采集粒度, 如果大于等于采集粒度, 则表 示该网络对象在网管侧配置的时间大于等于一个采集粒度, 进入步骤 S308, 如果小于 采集粒度,则表示该网络对象的对象配置的时间还不到一个采集粒度,进入步骤 S307。 S307, 由于配置对象 (网络对象) 的存在时间还不到一个采集粒度, 则将其真实 存在时间作为当前粒度的对象配置时间来计算, 计算公式: T2=Th。 S306, determining whether the object configuration time is greater than or equal to the collection granularity. If the collection granularity is greater than or equal to the collection granularity, the network object is configured on the network management side for a time greater than or equal to one acquisition granularity, and the process proceeds to step S308. If the collection granularity is smaller than the collection granularity, the network object is represented by the network object. The object configuration time is less than one acquisition granularity, and the process proceeds to step S307. S307: Since the existence time of the configuration object (network object) is less than one acquisition granularity, the real existence time is calculated as the object configuration time of the current granularity, and the calculation formula is: T2=Th.
5308, 由于配置对象 (网络对象) 的存在时间已经超过了一个采集粒度, 则将一 个采集粒度作为当前粒度的对象配置时间来计算, 计算公式: T2=Gr。 5308. Since the existence time of the configuration object (network object) has exceeded an acquisition granularity, an acquisition granularity is calculated as the object configuration time of the current granularity, and the calculation formula is: T2=Gr.
5309, 计算完 T2之后, 按照前台 (基站侧)、 后台 (网管侧) 的性能数据接口生 成性能数据(即生成的对象配置时间),便于性能数据采集模块能够将生成的数据存入 数据库。 图 4是根据本发明实施例的网管启动监听器的处理流程图, 如图 4所示, 该流程 包括以下步骤。 After the T2 is calculated, the performance data (that is, the generated object configuration time) is generated according to the performance data interface of the foreground (base station side) and the background (the network management side), so that the performance data collection module can store the generated data in the database. FIG. 4 is a flowchart of processing of a network management startup listener according to an embodiment of the present invention. As shown in FIG. 4, the flow includes the following steps.
5401 , 获取对象类型列表, 该对象类型列表由配置文件方提供, 内容为对象类型, 参数包括: "是否生成对象配置时间"、 "对应的测量类型 id", 以及"计数器 id"等信息。 5401, obtaining a list of object types, the object type list is provided by the configuration file side, and the content is an object type, and the parameters include: "whether to generate an object configuration time", "corresponding measurement type id", and "counter id" and the like.
5402, 根据"是否生成对象配置时间"判断对象类型是否需要生成对象配置时间的 性能数据, 如果不需要, 则结束流程, 如果需要, 则进入 S403。 5402. Determine whether the object type needs to generate performance data of the object configuration time according to "whether or not the object configuration time is generated." If not, the process ends, and if necessary, the process proceeds to S403.
5403 , 从数据库中读取该对象类型的配置对象信息。 5403. Read configuration object information of the object type from the database.
5404, 遍历从数据库获取到的配置对象, 并获取最后一条历史数据对应的采集时 间 Tg, 其中, Tg是从历史已生成的性能数据中获取的, 最后一条历史数据可以从网 管数据库中获取, 也可以通过网管备份的历史数据来获取, 除此以外, 还要获取当前 的系统时间 Tsys。 5404, traversing the configuration object obtained from the database, and obtaining an acquisition time Tg corresponding to the last historical data, where Tg is obtained from historically generated performance data, and the last historical data may be obtained from the network management database, It can be obtained through the historical data of the network management backup. In addition, the current system time Tsys is also obtained.
5405, 如果 Tsys-Tg的结果大于等于 Gr, 则认为网管已经超过一个采集粒度没有 生成该对象的对象配置时间的性能数据了, 需要补录数据, 进入 S406; 如果 Tsys-Tg 的结果小于 Gr, 则认为网管在发生重启事件的这重启时间段没有超过一个采集粒度, 不需要补录数据。 5405. If the result of Tsys-Tg is greater than or equal to Gr, it is considered that the network management has exceeded the performance data of the object configuration time of the object that does not generate the object, and the data needs to be re-recorded, and the process proceeds to S406; if the result of Tsys-Tg is less than Gr, It is considered that the network management does not exceed one acquisition granularity during the restart period in which the restart event occurs, and does not need to supplement the data.
5406, 计算补录条数 Integer[(Tsys-Tg)/Gr], 根据这个条数来决定需要补录哪些采 集粒度的对象配置时间的性能数据。 例如, 系统于 12: 17分停止了, 于 12: 50重新 启动了, 启动的时候开始计算补录条数, 最后一条性能数据的当前的采集时间 Tg就 是 12: 15, Tsys是 12: 50, 则 Integer[(Tsys-TgyGr]的计算结果为 2条。 5406, Calculate the number of complements Integer[(Tsys-Tg)/Gr], and determine the performance data of the object configuration time of which acquisition granularity needs to be supplemented according to this number. For example, the system stopped at 12:17 and re-opened at 12:50. Start up, start counting the number of supplements, the current acquisition time Tg of the last performance data is 12: 15, Tsys is 12: 50, then the calculation result of Integer[(Tsys-TgyGr] is 2.
5407, 计算补录数据的采集时间 Tg=Tg+Gr, 历史配置时间 T2h=Gr, 以 S406中 的例子为例, 需要补录的第一条数据是: 历史采集时间 Tg=12: 15+Gr=12: 30, 历史配 置时间是 Gr, 补录的第二条数据是: 历史采集时间 Tg=12:30+Gr=12: 45, 历史配置 时间是 Gr, 则可以确定需要补录的时间 (即第二对象配置时间) 是 30分钟; 性能数 据的生成时按照这些数据信息进行组织, 按照前台 (基站侧)、 后台 (网管侧)性能数 据接口生成性能数据, 便于性能数据采集模块能够将生成的数据存入数据库。 5407, Calculate the acquisition time of the supplementary data Tg=Tg+Gr, and the historical configuration time T2h=Gr. Taking the example in S406 as an example, the first data to be supplemented is: Historical acquisition time Tg=12: 15+Gr =12 : 30, the historical configuration time is Gr, and the second data of the supplement is: Historical acquisition time Tg=12:30+Gr=12 : 45, the historical configuration time is Gr, then you can determine the time to be re-recorded ( That is, the second object configuration time is 30 minutes; the performance data is generated according to the data information, and the performance data is generated according to the foreground (base station side) and background (network management side) performance data interfaces, so that the performance data acquisition module can generate The data is stored in the database.
5408, 补录完一个采集粒度的性能数据后, 判断此对象是否已经补录完毕, 如果 没有补录完毕,需要转入 S407继续进行补录,如果补录完毕,则退出对象的补录流程。 图 5是根据本发明实施例的网络对象删除监听器处理的处理流程图,如图 5所示, 该流程包括以下步骤。 5408, after compiling the performance data of a collection granularity, it is judged whether the object has been re-recorded. If there is no re-recording, it needs to be transferred to S407 to continue the re-recording. If the re-recording is completed, the re-recording process of the object is exited. FIG. 5 is a flowchart of processing performed by a network object deletion listener according to an embodiment of the present invention. As shown in FIG. 5, the flow includes the following steps.
5501 , 配置对象删除监听器监听到有配置对象被删除的事件发生时, 需要获取当 前的系统时间 Tsys和前一采集时间 Tgh, 再计算当前粒度的对象配置时间 T2, 其中, Tgh的计算公式为: Tgh = Tsys - Tsys%Gr。 5501, the configuration object deletion listener listens to the event that the configuration object is deleted, and needs to obtain the current system time Tsys and the previous acquisition time Tgh, and then calculate the current granularity of the object configuration time T2, where Tgh is calculated as : Tgh = Tsys - Tsys%Gr.
5502, 计算被删除的配置对象(网络对象) 的当前粒度的配置时间 T2, 计算公式 为: T2 = Tsys - Tgh = Tsys%Gr。 5502. Calculate a configuration time T2 of the current granularity of the deleted configuration object (network object), and the calculation formula is: T2 = Tsys - Tgh = Tsys%Gr.
5503 , 计算完 T2之后, 按照前台 (基站侧)、 后台 (网管侧) 的性能数据接口生 成性能数据, 便于性能数据采集模块能够将生成的数据存入数据库。 采用上述实施例提供的网络对象在服率的统计方法, 分别通过对象创建时间和对 象删除时间来计算网络对象的应服务时间,从而可以精确得到网络对象的对象在服率, 使得运营商在进行网络对象的服务情况统计时, 能够及时、准确地了解网络服务状态。 图 6是根据本发明实施例的网络对象在服率的统计装置的结构框图, 该装置用于 实现上述实施例提供的网络对象在服率的统计方法。 如图 6所示, 该装置主要包括: 第一获取模块 10、 第二获取模块 20以及计算模块 30。 其中, 第一获取模块 10, 设置 为获取网管为网络对象生成的对象配置时间; 第二获取模块 20, 连接至第一获取模块 10,设置为获取网络对象上报的对象在服时间;计算模块 30,连接至第二获取模块 20, 设置为根据对象在服时间与对象配置时间计算网络对象的对象在服率。 图 7是根据本发明优选实施例的网络对象在服率的统计装置的结构框图, 如图 7 所示, 第一获取模块可以包括: 生成单元 12、 补录单元 14以及第一计算单元 16。 其 中, 生成单元 12, 设置为在网管启动后, 将预先设置的采集粒度(Gr)作为采集周期, 在采集周期结束时, 生成网络对象的第一对象配置时间; 补录单元 14, 设置为监听网 管的重启事件, 在网管重启过程所经历的重启时间段超过采集周期时, 为网络对象补 录第二对象配置时间; 第一计算单元 16, 设置为根据以下公式计算对象配置时间: 对 象配置时间 =第一对象配置时间 +第二对象配置时间。 在实际应用中, 优选地, 第一获取模块还可以包括: 第二计算单元 18, 设置为在 监听到网络对象被网管删除时, 计算网络对象在被删除之前的第三对象配置时间, 其 中, 第三对象配置时间小于采集周期; 第一计算单元还可以设置为根据以下公式计算 对象配置时间: 对象配置时间 =第一对象配置时间 +第二对象配置时间 +第三对象配置 时间。 采用上述实施例提供的网络对象在服率的统计装置, 采用上述实施例提供的网络 对象在服率的统计方法, 分别通过对象创建时间和对象删除时间来计算网络对象的应 服务时间, 从而可以精确得到网络对象的对象在服率, 使得运营商在进行网络对象的 服务情况统计时, 能够及时、 准确地了解网络服务状态。 从以上的描述中, 可以看出, 本发明实现了如下技术效果: 与现有技术相比, 取 得了对象在服率统计准确性的进步, 使得运营商在进行网络对象服务状况时, 能够及 时准确的了解网络服务状态, 尤其在以下几个方面效果显著: (1 ) 本发明生成的对象 配置时间统计准确, 分别通过对象创建时间和对象删除时间来进行计算; (2) 本发明 的对象在服率统计比单纯由基站上报方式统计的更为准确, 尤其解决了基站复位和基 站掉电情况下的对象在服时间的统计问题。 显然, 本领域的技术人员应该明白, 上述的本发明的各模块或各步骤可以用通用 的计算装置来实现, 它们可以集中在单个的计算装置上, 或者分布在多个计算装置所 组成的网络上, 可选地, 它们可以用计算装置可执行的程序代码来实现, 从而, 可以 将它们存储在存储装置中由计算装置来执行, 并且在某些情况下, 可以以不同于此处 的顺序执行所示出或描述的步骤, 或者将它们分别制作成各个集成电路模块, 或者将 它们中的多个模块或步骤制作成单个集成电路模块来实现。 这样, 本发明不限制于任 何特定的硬件和软件结合。 以上所述仅为本发明的优选实施例而已, 并不用于限制本发明, 对于本领域的技 术人员来说, 本发明可以有各种更改和变化。 凡在本发明的精神和原则之内, 所作的 任何修改、 等同替换、 改进等, 均应包含在本发明的保护范围之内。 After the T2 is calculated, performance data is generated according to the performance data interface of the foreground (base station side) and the background (network management side), so that the performance data collection module can store the generated data in the database. The statistical method of the service rate of the network object provided by the foregoing embodiment is used to calculate the service time of the network object by using the object creation time and the object deletion time respectively, so that the object rate of the network object can be accurately obtained, so that the operator is performing. When the service status of the network object is counted, the status of the network service can be known in a timely and accurate manner. FIG. 6 is a structural block diagram of a statistical device for a network object in a service rate according to an embodiment of the present invention. The device is used to implement a statistical method for a network object in a service rate provided by the foregoing embodiment. As shown in FIG. 6, the device mainly includes: a first obtaining module 10, a second acquiring module 20, and a calculating module 30. The first obtaining module 10 is configured to acquire an object configuration time generated by the network management device for the network object. The second obtaining module 20 is connected to the first obtaining module 10, and is configured to acquire the object reported by the network object in the service time; the calculating module 30 And connecting to the second obtaining module 20, configured to calculate an object rate of the network object according to the object in the service time and the object configuration time. FIG. 7 is a structural block diagram of a statistical apparatus for a network object in a service rate according to a preferred embodiment of the present invention. As shown in FIG. 7, the first obtaining module may include: a generating unit 12, a complement unit 14, and a first calculating unit 16. The generating unit 12 is configured to: after the network management is started, set a pre-set acquisition granularity (Gr) as an acquisition period, and at the end of the collection period, generate a first object configuration time of the network object; the re-recording unit 14 is set to monitor In the restart event of the network management system, when the restart time period experienced by the network management system restarting process exceeds the collection period, the second object configuration time is added for the network object. The first calculating unit 16 is configured to calculate the object configuration time according to the following formula: = first object configuration time + second object configuration time. In a practical application, the first obtaining module may further include: a second calculating unit 18, configured to calculate a third object configuration time before the network object is deleted, when the network object is detected to be deleted by the network management, where The third object configuration time is less than the collection period; the first calculation unit may be further configured to calculate the object configuration time according to the following formula: object configuration time=first object configuration time+second object configuration time+third object configuration time. The statistics device of the network object in the service rate provided by the foregoing embodiment uses the statistical method of the network object in the service rate provided by the foregoing embodiment, and calculates the service time of the network object by using the object creation time and the object deletion time respectively, thereby Accurately obtain the service rate of the object of the network object, so that the operator can timely and accurately understand the state of the network service when performing statistics on the service status of the network object. From the above description, it can be seen that the present invention achieves the following technical effects: Compared with the prior art, an improvement in the statistical accuracy of the service rate of the object is obtained, so that the operator can timely perform the network object service status. Accurate understanding of the status of the network service, especially in the following aspects: (1) The object configuration time generated by the present invention is statistically accurate, and is calculated by the object creation time and the object deletion time respectively; (2) The object of the present invention is The service rate statistics are more accurate than the statistics reported by the base station reporting method, especially solving the statistical problem of the object service time in the case of base station reset and base station power failure. Obviously, those skilled in the art should understand that the above modules or steps of the present invention can be implemented by a general-purpose computing device, which can be concentrated on a single computing device or distributed over a network composed of multiple computing devices. Alternatively, they may be implemented by program code executable by the computing device, such that they may be stored in the storage device by the computing device and, in some cases, may be different from the order herein. The steps shown or described are performed, or they are separately fabricated into individual integrated circuit modules, or a plurality of modules or steps are fabricated as a single integrated circuit module. Thus, the invention is not limited to any specific combination of hardware and software. The above is only the preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes can be made to the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and scope of the present invention are intended to be included within the scope of the present invention.

Claims

权 利 要 求 书 Claim
1. 一种网络对象在服率的统计方法, 包括: 1. A statistical method for the rate of service of a network object, including:
获取网管为网络对象生成的对象配置时间;  Obtain the configuration time of the object generated by the network management device for the network object;
获取所述网络对象上报的对象在服时间;  Obtaining an object reported by the network object at a service time;
根据所述对象在服时间与所述对象配置时间计算所述网络对象的对象在服 率。  The object of the network object is calculated according to the object at the service time and the object configuration time.
2. 根据权利要求 1所述的方法,其中,获取网管为网络对象生成的对象配置时间, 包括: 2. The method according to claim 1, wherein the obtaining an object configuration time generated by the network management system for the network object comprises:
在所述网管启动后, 将预先设置的采集粒度 Gr作为采集周期, 在所述采 集周期结束时, 生成所述网络对象的第一对象配置时间;  After the network management is started, the preset collection granularity Gr is used as an acquisition period, and at the end of the collection period, a first object configuration time of the network object is generated;
监听所述网管的重启事件, 在所述网管重启过程所经历的重启时间段超过 所述采集周期时, 为所述网络对象补录第二对象配置时间;  Monitoring the restart event of the network management system, when the restart time period experienced by the network management system restarting process exceeds the collection period, the second object configuration time is supplemented for the network object;
根据以下公式计算所述对象配置时间:  The object configuration time is calculated according to the following formula:
对象配置时间 =第一对象配置时间 +第二对象配置时间。  Object configuration time = first object configuration time + second object configuration time.
3. 根据权利要求 2所述的方法,其中,获取网管为网络对象生成的对象配置时间, 还包括: The method of claim 2, wherein acquiring an object configuration time generated by the network management device for the network object further includes:
在监听到所述网络对象被所述网管删除时, 计算所述网络对象在被删除之 前的第三对象配置时间, 其中, 所述第三对象配置时间小于所述采集周期; 根据以下公式计算所述对象配置时间:  And calculating, when the network object is deleted by the network management, a third object configuration time before the network object is deleted, where the third object configuration time is less than the collection period; Object configuration time:
对象配置时间 =第一对象配置时间 +第二对象配置时间 +第三对象配置时 间。  Object configuration time = first object configuration time + second object configuration time + third object configuration time.
4. 根据权利要求 2或 3所述的方法,其中,将预先设置的采集粒度作为采集周期, 在所述采集周期结束时, 生成所述网络对象的第一对象配置时间, 包括: The method according to claim 2 or 3, wherein the pre-set acquisition granularity is used as an acquisition period, and at the end of the collection period, the first object configuration time of the network object is generated, including:
获取所述网络对象的对象类型列表;  Obtaining a list of object types of the network object;
根据所述对象类型列表判断所述网络对象是否需要生成所述对象配置时 间; 在判定需要为所述网络对象生成所述对象配置时间的情况下, 遍历所述网 络对象, 获取所述网络对象的对象创建时间 Tc、 当前粒度采集时间 Tg, 及系统 当前时间 TsysDetermining, according to the object type list, whether the network object needs to generate the object configuration time; After determining that the object configuration time needs to be generated for the network object, traversing the network object, acquiring an object creation time T c of the network object, a current granularity collection time T g , and a current system time T sys ;
根据所述对象创建时间 Tc、所述当前粒度采集时间 Tg,及所述系统当前时 间 Tsys确定所述第一对象配置时间。 The first object configuration time is determined according to the object creation time T c , the current granularity collection time T g , and the system current time T sys .
5. 根据权利要求 4所述的方法, 其中, 所述性能数据定时生成器根据所述对象创 建时间 Tc、所述当前粒度采集时间 Tg, 及所述系统当前时间 Tsys确定所述第一 对象配置时间, 包括: The method according to claim 4, wherein the performance data timing generator determines the first according to the object creation time T c , the current granularity collection time T g , and the system current time T sys An object configuration time, including:
根据公式计算当前粒度配置时间 Tg: Tg = Tsys - Tsys%Gr, 其中, %表示取 模; Calculate the current granularity configuration time T g according to the formula : T g = T sys - T sys %Gr, where % means modulo;
根据公式计算所述网络对象的对象存在时间 Th: Th= Tg- TC; 判断所述对象存在时间 Th是否大于等于所述采集粒度 Gr, 如果是, 确定 所述第一对象配置时间为所述采集粒度 Gr, 否则, 确定所述第一对象配置时间 为所述对象存在时间 ThCalculating the object existence time T h of the network object according to the formula : T h = T g - T C ; determining whether the object existence time T h is greater than or equal to the collection granularity Gr, and if yes, determining the first object configuration The time is the acquisition granularity Gr, otherwise, the first object configuration time is determined to be the object existence time T h .
6. 根据权利要求 2或 3所述的方法, 其中, 监听所述网管的重启事件, 在所述网 管重启过程所经历的重启时间段超过所述采集周期时, 为所述网络对象补录第 二对象配置时间, 包括: The method according to claim 2 or 3, wherein the restarting event of the network management is performed, and when the restarting period experienced by the network management system restarting process exceeds the collection period, the network object is re-recorded. Two object configuration time, including:
获取所述网络对象的对象类型列表;  Obtaining a list of object types of the network object;
根据所述对象类型列表判断所述网络对象是否需要生成所述对象配置时 间;  Determining, according to the object type list, whether the network object needs to generate the object configuration time;
在判定需要为所述网络对象生成所述对象配置时间的情况下, 遍历所述网 络对象,获取所述网络对象中保存的最后一次的粒度采集时间 TM,及重启后的 系统当前时间 TQ; When it is determined that the object configuration time needs to be generated for the network object, traversing the network object, acquiring a last granularity collection time T M saved in the network object, and a system current time T Q after restarting ;
判断所述重启后的系统当前时间 TQ与所述最后一次的粒度采集时间 TM的 差值 TQ-Tm是否大于等于所述采集粒度 Gr, 如果是, 确定所述第二对象配置时 间为 Gr*Integer[(TQ-TM)/ Gr], 其中, Integer表示取整, 否则, 确定无需补录数 据。 Determining whether the difference TQ-T m between the current time T Q of the system after the restart and the last granularity collection time T M is greater than or equal to the collection granularity Gr, and if yes, determining that the second object configuration time is Gr*Integer[(T Q -T M )/ Gr], where Integer indicates rounding, otherwise, it is determined that no data needs to be added.
7. 根据权利要求 3所述的方法,其中,在监听到所述网络对象被所述网管删除时, 计算所述网络对象在被删除之前的第三对象配置时间, 包括: The method according to claim 3, wherein, when the network object is detected to be deleted by the network management, calculating a third object configuration time of the network object before being deleted, including:
监听所述网络对象, 确定所述网络对象被删除; 获取删除后的当前系统时间 Ts,根据公式 TF = Ts - Ts%Gr计算删除前的粒 度采集时间 TF; Listening to the network object, determining that the network object is deleted; Obtain the current system time T s after deletion, and calculate the granularity acquisition time T F before deletion according to the formula T F = Ts - T s %Gr ;
根据所述当前系统时间 Ts与所述删除前的粒度采集时间 TF的差值确定所 述第三对象配置时间为 Ts%Gr。 一种网络对象在服率的统计装置, 包括: The third object configuration time is determined as T s %Gr according to the difference between the current system time T s and the granularity acquisition time T F before the deletion. A statistical device for the rate of service of a network object, including:
第一获取模块, 设置为获取网管为网络对象生成的对象配置时间; 第二获取模块, 设置为获取所述网络对象上报的对象在服时间; 计算模块, 设置为根据所述对象在服时间与所述对象配置时间计算所述网 络对象的对象在服率。 根据权利要求 8所述的装置, 其中, 所述第一获取模块包括:  The first obtaining module is configured to acquire an object configuration time generated by the network management device for the network object; the second obtaining module is configured to acquire the object reported by the network object in the service time; and the calculating module is configured to be in accordance with the object in the service time The object configuration time calculates an object rate of the object of the network object. The device according to claim 8, wherein the first obtaining module comprises:
生成单元, 设置为在所述网管启动后, 将预先设置的采集粒度 Gr作为采 集周期, 在所述采集周期结束时, 生成所述网络对象的第一对象配置时间; 补录单元, 设置为监听所述网管的重启事件, 在所述网管重启过程所经历 的重启时间段超过所述采集周期时, 为所述网络对象补录第二对象配置时间; 第一计算单元, 设置为根据以下公式计算所述对象配置时间:  a generating unit, configured to: after the network management is started, set a preset collection granularity Gr as an acquisition period, and at the end of the collection period, generate a first object configuration time of the network object; The restarting event of the network management is to re-record the second object configuration time for the network object when the restart time period experienced by the network management system restarts exceeds the collection period; the first calculating unit is set to calculate according to the following formula The object configuration time:
对象配置时间 =第一对象配置时间 +第二对象配置时间。 根据权利要求 9所述的装置, 其中, 所述第一获取模块还包括:  Object configuration time = first object configuration time + second object configuration time. The device according to claim 9, wherein the first obtaining module further comprises:
第二计算单元, 设置为在监听到所述网络对象被所述网管删除时, 计算所 述网络对象在被删除之前的第三对象配置时间, 其中, 所述第三对象配置时间 小于所述采集周期;  a second calculating unit, configured to calculate a third object configuration time before the network object is deleted, when the network object is detected to be deleted by the network management, where the third object configuration time is smaller than the collecting Cycle
所述第一计算单元还设置为根据以下公式计算所述对象配置时间: 对象配置时间 =第一对象配置时间 +第二对象配置时间 +第三对象配置时  The first calculating unit is further configured to calculate the object configuration time according to the following formula: object configuration time = first object configuration time + second object configuration time + third object configuration time
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