WO2023231416A1

WO2023231416A1 - Method and apparatus for determining base station in-service rate, electronic device and storage medium

Info

Publication number: WO2023231416A1
Application number: PCT/CN2023/070514
Authority: WO
Inventors: 张朋勇
Original assignee: 中兴通讯股份有限公司
Priority date: 2022-06-02
Filing date: 2023-01-04
Publication date: 2023-12-07
Also published as: CN117221930A

Abstract

Disclosed are a method and apparatus for determining base station in-service rate, an electronic device and a storage medium. The method comprises: acquiring configuration data of a base station, and determining a required base station in-service duration in a query period according to the configuration data; obtaining performance data reported by the base station, and determining a base station in-service duration in the query period according to the performance data; and determining the base station in-service rate in the query period according to the required base station in-service duration and the base station in-service duration in the query period.

Description

Base station service rate determination method, device, electronic equipment and storage medium

Cross-references to related applications

This disclosure claims the priority of Chinese patent application CN202210628660.9 titled "Method, device, electronic equipment and storage medium for determining base station service rate" submitted on June 2, 2022, the entire content of which is incorporated into this disclosure by reference. middle.

Technical field

The present disclosure relates to the field of communication technology, and in particular, to a base station service rate determination method, device, electronic equipment and storage medium.

Background technique

With the development and expansion of communication networks, network coverage has become more and more complex and there are more and more scenarios. Monitoring the operating status of base stations in the network has become more and more important. Base station service rate is an important data in base station operation status monitoring. However, at present, there are still inaccurate technical problems in the calculation and statistics of base station service rates.

Contents of the invention

Embodiments of the present disclosure provide a base station service rate determination method, device, electronic device, and storage medium.

According to one aspect of the present disclosure, a method for determining the service rate of a base station is provided. The method includes: obtaining base station configuration data, determining how long the base station should be in service during the query time period based on the configuration data; obtaining performance data reported by the base station, Determine the service time of the base station within the query time period based on the performance data; and determine the service rate of the base station during the query time period based on the time the base station should be in service during the query time period and the service time of the base station.

According to an aspect of the present disclosure, a base station service rate determination device is also provided. The device includes: a first acquisition module configured to acquire base station configuration data, and determine according to the configuration data that the base station should be in service within the query time period. duration; the second acquisition module is configured to obtain the performance data reported by the base station, and determine the service time of the base station during the query time period based on the performance data; and the determination module is configured to determine whether the base station should be in service during the query time period based on the performance data. The duration and the service time of the base station are used to determine the service rate of the base station within the query time period.

According to an aspect of the present disclosure, an electronic device is also provided, including: a processor and a memory used to store a computer program that can be run on the processor; wherein the above method is executed when the processor is used to run the computer program.

According to one aspect of the present disclosure, a storage medium is also provided. A computer program is stored in the storage medium. When the computer program is executed by a processor, the above method is implemented.

Description of the drawings

Figure 1 is a schematic flowchart of a method for determining base station service rate according to an embodiment of the present disclosure;

Figure 2 is another schematic flowchart of a base station service rate determination method according to an embodiment of the present disclosure;

Figure 3 is another schematic flowchart of a base station service rate determination method according to an embodiment of the present disclosure;

Figure 4 is another schematic flowchart of a base station service rate determination method according to an embodiment of the present disclosure;

Figure 5 is another schematic flowchart of a base station service rate determination method according to an embodiment of the present disclosure;

Figure 6 is another schematic flowchart of a base station service rate determination method according to an embodiment of the present disclosure;

Figure 7 is a schematic diagram of base station networking relationships in a normal operation scenario according to an application embodiment of the present disclosure;

Figure 8 is a schematic diagram of base station networking relationships in a test scenario according to an application embodiment of the present disclosure;

Figure 9 is a schematic structural diagram of a statistical system according to an application embodiment of the present disclosure;

Figure 10 is a schematic diagram of the access, migration time and performance data reporting time of the base station in network management A (existing network management) in a scenario according to an application embodiment of the present disclosure;

Figure 11 is a schematic flow chart of network management performance index statistics according to an application embodiment of the present disclosure;

Figure 12 is a schematic flowchart of base station configuration duration statistics according to an application embodiment of the present disclosure;

Figure 13 is a schematic flow chart of base station migration duration statistics according to an application embodiment of the present disclosure;

Figure 14 is a schematic diagram of the time periods corresponding to Tc, Tout, and Tes when the query time period is T1 to T4 according to an application embodiment of the present disclosure;

Figure 15 is a schematic diagram of the time periods corresponding to Tc, Tout, and Tes when the query time period is T2 to T6 according to an application embodiment of the present disclosure;

Figure 16 is a schematic structural diagram of a base station service rate determining device according to an embodiment of the present disclosure; and

FIG. 17 is an internal structure diagram of a computer device according to an embodiment of the present disclosure.

Detailed ways

Before introducing the disclosed solution in detail, let us first introduce the relevant definition of base station service rate.

In the field of communications, in order to comprehensively evaluate the operating status of the base station system, monitor and optimize the base station system, parameters that evaluate and identify the normal, good or bad various important operating statuses of the base station system will be defined, and then the network management system can be used to regularly monitor and optimize the base station system. These statistical data are collected in the base station system, and the parameters can be combined and calculated according to the actual business scenario to obtain the indicator results. Moreover, it is necessary to be able to conveniently view indicator statistics at any time period within a certain period of time (such as within the past year), analyze network service quality and change trends, and guide network optimization. For example, network operation and maintenance personnel need to judge the operating status of the network by viewing and analyzing indicators such as the service rate of the base station system. According to the operator's specification definition: the system's service rate is the ratio of the base station's service time and the statistical time during the statistical period. The formula is as follows:

Base station service rate = Base station service time/statistical time × 100%

Among them, the statistical duration is the length of time the base station should be in service during the statistical time period, that is:

Base station service rate = base station service time/statistical time should be within the service time × 100%

If the base station service rate can be accurately counted, it can accurately reflect the status of the real network, provide an important reference for formulating network optimization strategies, and improve the quality of communication services, thus improving the end-user experience.

The present disclosure will be described in further detail below with reference to the accompanying drawings and embodiments.

Embodiments of the present disclosure provide a method for determining the service rate of a base station, as shown in Figure 1. The method includes: Step 101: Obtain base station configuration data, and determine how long the base station should be in service during the query time period based on the configuration data; Step 102: Obtain the performance data reported by the base station, and determine the service time of the base station during the query time period based on the performance data; and Step 103: Determine the service rate of the base station during the query time period based on the time the base station should be in service and the service time of the base station during the query time period.

The method for determining the service rate (or availability rate) of a base station provided in this embodiment is to collect statistics and generate the in-service time of the base station through the network management, obtain the in-service time reported by the base station, and calculate the in-service time of the base station based on the in-service time and the expected in-service time. Obedience rate. Through the above method of this embodiment, the service rate of the base station can be accurately obtained, so that the operator can timely and accurately understand the network service status when conducting statistics on the service status of the base station.

In addition, this embodiment can accurately obtain the base station service rate for the base station relocation access scenario.

Further, referring to Figure 2, in some embodiments, obtaining base station configuration data, and determining how long the base station should be in service during the query time period based on the configuration data includes: Step 201: Determine the base station configuration time period and The base station migration time; and step 202: The difference between the base station configuration time and the base station migration time is used as the time the base station should be in service during the query time period.

Further, referring to Figure 3, in some embodiments, determining the base station configuration duration within the query time period based on the configuration data includes: Step 301: Determine the first access time of the base station based on the configuration data; and Step 302: Based on the base station The first access time determines the base station configuration duration within the query time period.

Further, referring to Figure 4, in some embodiments, determining the base station relocation time period within the query time period according to the configuration data includes: Step 401: Obtain the base station relocation collection time and base station relocation time within the query time period from the configuration data. and step 402: The difference between the re-access collection time after the base station moves out and the base station move-out collection time is used as the base station move-out time.

Further, referring to Figure 5, in some embodiments, obtaining the base station relocation collection time within the query time period from the configuration data includes: Step 501: Determine the base station relocation time from the configuration data; Step 502: Based on the base station relocation time, determine the collection time of a collection granularity before the base station move-out time; and step 503: use the collection time of a collection granularity before the base station move-out time as the base station move-out collection time.

Further, referring to Figure 6, in some embodiments, obtaining the reconnection collection time after the base station moves out within the query period from the configuration data includes: Step 601: Determine the reconnection time after the base station moves out from the configuration data. ; Step 602: Determine the collection time of the collection granularity before the reconnection time after the base station moves out based on the reconnection time after the base station moves out; and Step 603: Collection of the collection granularity before the reconnection time after the base station moves out The time is used as the collection time after the base station is moved out and then accessed again.

In some embodiments, determining the base station service rate according to the time the base station should be in service and the base station service time includes: determining the base station service rate according to the base station should be in service and the base station service time using the following formula: The base station is in service Rate = base station service time/base station should be in service time × 100%.

The method for determining the service rate of a base station provided by the embodiment of the present disclosure obtains the configuration data of the base station, and determines how long the base station should be in service during the query time period based on the configuration data; obtains the performance data reported by the base station, and determines the service rate of the base station during the query time period based on the performance data. duration; and based on the length of time the base station should be in service and the length of time the base station is in service during the query time period, the base station service rate within the query time period is determined. The solution provided by the present disclosure can accurately calculate the service rate of the base station, so that the operator can timely and accurately understand the network service status when conducting statistics on the service status of the base station.

The present disclosure will be described in further detail below in conjunction with application examples.

This application embodiment provides a statistical method and device for base station service rate. In view of the difficulty in statistics of base station service rate, especially the problem of inaccurate statistics caused by relocation access scenarios, this embodiment proposes that after the base station is moved out, although the configuration data is still in the existing network management, in fact the base station will not Then report the performance data to the original network management. Therefore, when calculating the service time, the period of time when the base station is moved out should be eliminated. When the base station moves out from the original network management, the "migration time" should be recorded, and the "collection time of the previous collection granularity before the move out" should be calculated as the "migration collection time"; when it is reconnected, the "access time" should be recorded , and calculate the "collection time of the previous collection granularity" as the "access collection time"; from the "access collection time - the migration collection time", we get the "duration that should be in service to be eliminated", and then calculate the "should be in service" "In-service time = configured time - length of time that should be in service to be eliminated", and then use the sum of the in-service time reported by the base station and add it into the formula to calculate "base station service rate = base station service time / base station should be in service time" to ensure The accuracy of the calculated base station service rate. This ensures that mobile operators have accurate network status and provides an important basis for network optimization to improve network service quality.

Before introducing the solution of this embodiment, the base station networking relationship in the two scenarios is first introduced.

See Figure 7, which is a network diagram of a base station in a normal operation scenario. In Figure 7, the base station is connected to the network management A (the existing network management). The base stations are all connected to the network management A (the existing network management) for management, and the base station performance data are also reported to the network management A.

In addition, please refer to Figure 8, which is a network diagram of a base station in a test scenario. In Figure 8, before upgrading the existing network management system, in order to verify the quality of the version first, a test network management set will be built to access the base station for testing. The base station will first be connected to network management B (test network management) for management. However, the configuration data of the base station is still retained in network management A, and the base station is in the move-out state at this time. The performance data of the base station will be reported to network management B. After the test is completed, connect the base station back to network management A (existing network management) for management. Afterwards, the performance data of the base station will be reported to network management A, and the base station will return to normal state.

In actual application, when counting the service rate of the base station, if the statistical time period is in the normal scenario, the base station should be in service for the length of time = the base station configuration time; but if the statistical time period includes the test scenario, the above method will lead to The base station should be in service for a long time, which will lead to the statistical base station service rate being too small and the statistical data to be inaccurate.

Based on this, the statistical method of the base station service rate when the base station moves out of the access scenario proposed in this embodiment will exclude the base station move-out time and then calculate the base station service rate. The method in this embodiment includes: Step 1: Calculate the service time Tes of the base station through configuration data = Base station configuration time Tc - Base station migration time Tout; Step 2: Obtain the service time Tas of the base station through the performance data reported by the base station; and Steps 3: Enter it into the formula to calculate the base station service rate Rs = the base station service time Tas / the base station should be in service time Tes.

Refer to Figure 9, which is a structural diagram of the statistical system of this embodiment. In Figure 9, the base station is responsible for counting the service time; the collection module is responsible for storing the performance data reported by the base station; the configuration module is responsible for accessing and moving out of the base station and broadcasting access and migration change messages; the status monitoring module is responsible for monitoring the base station Access and migration change messages are merged into the database; the time statistics module is responsible for calculating the base station configuration time and base station migration time; and the indicator statistics module is responsible for performance data query and indicator calculation;

In the above statistical system, the status monitoring module of the network management is responsible for monitoring and recording the access and migration time points of the base station.

When base station 1 accesses the existing network management for the first time, the status monitoring module monitors the base station access change message, records the access time (for example, Ti0), and adds a record to the access migration status table, as shown in Table 1 shown.

Table 1

基站base station	NONO	迁出时间ToMoving out time To	接入时间TiAccess time Ti
基站1Base station 1	11		Ti0Ti0

When base station 1 migrates to the outbound network management, the status monitoring module monitors the base station migration change message, records the migration time (such as To1), and adds a record to the access migration status table, as shown in Table 2.

Table 2

基站base station	NONO	迁出时间ToMoving out time To	接入时间TiAccess time Ti
基站1Base station 1	11		Ti0Ti0
基站1Base station 1	22	To1To1

When base station 1 is connected to the existing network management again, the status monitoring module monitors the base station access change message, records the access time (for example, Ti1), and updates the most recently recorded "access" in the access migration status table. time", as shown in Table 3.

table 3

基站base station	NONO	迁出时间ToMoving out time To	接入时间TiAccess time Ti
基站1Base station 1	11		Ti0Ti0
基站1Base station 1	22	To1To1	Ti1Ti1

In addition, the collection module of the network management is responsible for collecting the performance data of the base station and storing it in the database. When the statistical period expires, the base station will generate performance data within this period. The network manager is responsible for collecting and merging the performance data of the base station into the performance data table, as shown in Table 4.

Table 4

基站base station	统计周期开始时间Statistical period start time	统计周期结束时间Statistical period end time	实际在服时长Actual service time
基站1Base station 1	T1T1	T2T2	Tas1Tas1
基站1Base station 1	T2T2	T3T3	Tas2Tas2
基站1Base station 1	T5T5	T6T6	Tas5Tas5

Based on the above process, a schematic diagram of the access, migration time and performance data reporting time of the base station in network management A (existing network management) in a scenario as shown in Figure 10 can be obtained. In Figure 12, T1, T2,..., T6 are the time points of the base station performance data collection cycle, and the time interval between each time point is the collection cycle Gr. Ti0 is the first access time of the base station; To1 is the first move-out time; Ti1 is the re-access time.

Based on the above scenario, the system's indicator statistics module is responsible for calculating the base station service rate. Referring to Figure 11, for a selected query time period Tq1~Tq2, the base station service rate statistics method in this embodiment includes: Step 1101: Obtain the base station configuration duration Tc in the query time period through the time statistics module; Step 1102: Pass the time The statistics module obtains the base station migration time Tout within the query time period; Step 1103: Calculate the service time Tes of the base station based on Tc and Tout. Here, Tes=Tc-Tout can be calculated based on Tc and Tout; Step 1104: Get the query time The service time Tas of the base station in the segment; query and calculate the sum of the service time Tas of Tq1 ~ Tq2 from the performance data table; Step 1105: Calculate the base station service rate Rs according to Tes and Tas; and calculate it according to Tas and Tes Get Rs=Tas/Tes.

Among them, referring to Figure 12, the statistical process of the base station configuration duration Tc is as follows: Step 1201: Obtain the first access time Ti0 of the base station; and Step 1202: Calculate the base station configuration duration Tc within the query time period.

Since the base station configuration time Tc is related to the base station's first access time Ti0, first obtain the base station's first access time Ti0, and then calculate the base station configuration time Tc in the query time period based on Ti0. The process is as follows: If the query time period is in Before the base station accesses for the first time (i.e. Ti0>Tq2), the base station configuration duration Tc=0; if the query time period is after the base station accesses for the first time (i.e. Ti0<Tq1), the base station configuration duration Tc=Tq2-Tq1 ; If the query time period includes the first access time of the base station (i.e. Tq1<=Ti0<=Tq2), then the base station configuration time Tc=Tq2-Ti0; among them, the first access time of the base station can be moved out from the access Obtain the "access time" of the "migration time is empty" record in the status table. Tc=max(Ti0,Tq2)-max(Ti0,Tq1) can also be calculated using the formula.

Note: The max(Ti0,Tq2) formula means taking the larger of the two times, and similarly min(T1,T2) means taking the smaller of the two times.

Among them, referring to Figure 13, the statistical process of base station move-out time Tout is as follows: Step 1301: Obtain the base station move-out time To and base station access time Ti within the query time period; Step 1302: Calculate the previous collection granularity time Tonp before move-out based on To ; Step 1303: Calculate the previous collection granularity time Tinp based on Ti; and Step 1304: Calculate the base station migration time Tout based on Tonp and Tinp.

If the base station moves out time is represented by To, the base station reconnection time is represented by Ti. Normally, the base station move-out time is Tout=Ti-To. However, the service time of the base station is counted by the base station and reported to the network management, and the statistics are based on the collection period (Gr). Therefore, when calculating the service time and the base station migration time, it is also necessary to align with the base station's collection cycle. Furthermore, the base station migration time Tout=Tinp-Tonp is used to ensure the correctness of the base station service rate calculation result.

Among them, Tinp is the collection granularity time before migration; Tinp is the collection granularity time before access; the calculation method is: the collection granularity time before migration Tonp=To-To%Gr; the collection granularity time before access Tinp= Ti-Ti%Gr; Note: “%” means taking the remainder.

Specially, if Tinp is after the query time period (i.e. Tonp<Tq2<Tinp), then Tout=Tq2-Tonp, that is, Tout=min(Tinp,Tq2)-Tonp; if Tonp is before the query time period (i.e. Tonp<Tq1 <Tinp), then Tout=Tinp-Tq1, that is, Tout=Tinp-max(Tonp, Tq1). Therefore, Tout=min(Tinp, Tq2)-max(Tonp, Tq1) can be calculated using the formula.

If the query time period contains multiple outbound accesses, you need to add up the multiple time periods:

Further, based on the above method, two embodiments will be listed below for description.

In the first embodiment, as shown in Figure 14, when the user queries the base station service rate, the query time period is selected from T1 to T4, and the following process is performed.

(1) First calculate the base station configuration time Tc.

Query the "access time" of the record whose "migration time is empty" from the access migration status table to obtain Ti0. Then calculate Tc=max(Ti0,Tq2)-max(Ti0,Tq1)=max(Ti0,T4)-max(Ti0,T1)=T4-Ti0.

(2) Then calculate the base station relocation time Tout.

Filter out the time period Tout that overlaps with T1 to T4 from the access migration status table. According to "migration time is not empty and (T1<migration time<T4 or T1<access time<T4)", the record of NO=2 is found (where To=To1, Ti=Ti1). Then: Tonp=To-To%Gr=To1-To1%Gr=T3

Tinp=Ti-Ti%Gr=Ti1-Ti1%Gr=T5

Then, the base station migration time is:

Tout=min(Tinp,Tq2)-max(Tonp,Tq1)=min(T5,T4)-max(T3,T1)=T4-T3=Gr.

(3) Calculate the time Tes that the base station should be in service.

Tes=Tc-Tout=(T4-Ti0)-Gr=T3-Ti0.

(4) Query and calculate the base station service time Tas.

Filter out the sum of the actual service hours of the base stations in the T1~T4 time period from the performance data table (search and summarize according to "T1≤statistical cycle start time <T4"):

Tas＝Tas _T1～T4 ＝Tas1+Tas2

Note: It actually only contains data from the two collection periods T1 to T3.

(5) Finally, calculate the base station service rate Rs.

Rs=Tas/Tes=(Tas1+Tas2)/(T3-Ti0)

In the second embodiment, as shown in Figure 15, when the user queries the base station service rate, if the selected query time period is T2 to T6, the following process is performed.

(1) First calculate the base station configuration time Tc.

Query the "access time" of the record whose "migration time is empty" from the access migration status table to obtain Ti0. It is judged that T2~T6 are after Ti0. Therefore, Tc=T6-T2=4Gr.

(2) Then calculate the base station migration time Tout.

Filter out the time period Tout that intersects with T2~T6 from the table. According to "migration time is not empty and (T2<migration time<T6 or T2<access time<T6)", the record of NO=2 is found (where To=To1, Ti=Ti1). but:

Tonp=To-To%Gr=To1-To1%Gr=T3

Tinp=Ti-Ti%Gr=Ti1-Ti1%Gr=T5

Then, the base station migration time is:

Tout=min(Tinp,Tq2)-max(Tonp,Tq1)=min(T5,T6)-max(T3,T2)=T5-T3=2Gr.

(3) It can then be calculated: Tes=Tc-Tout=4Gr-2Gr=2Gr for how long the base station should be in service.

(4) Query and calculate the service time of the base station.

Filter out the sum of the actual service hours of the base stations in the T2~T6 time period from the performance data table (search and summarize according to "T2≤statistical cycle start time <T6"):

Tas＝Tas _T2～T6 ＝Tas2+Tas5

Note: In fact, it only includes data from the two collection periods T2~T3 and T5~T6.

(5) Finally, calculate the base station service rate.

Rs=Tas/Tes=(Tas2+Tas5)/2Gr

The statistical solution for the base station service rate provided by this embodiment can solve the problem that the base station service rate is too small in the scenario of base station migration and access, resulting in indicators that cannot accurately reflect the network status. For the existing network management, when the base station is moved out, although the configuration data is still there, the base station will actually no longer report performance data to the existing network management. Therefore, when calculating how long the base station should be in service, the period of time when the base station is moved out should be eliminated. When the base station moves out of the network management, the collection time of the previous collection granularity should be calculated based on the recorded move-out time as the move-out collection time; and then the collection time of the previous collection granularity should be calculated based on the access time. As the access collection time; the access collection time - the migration collection time is used to obtain the in-service time to be removed, and then the in-service time = configured time - the in-service time to be removed, and then based on the sum of the in-service time reported by the base station , enter the formula to calculate the base station service rate = base station service time / base station should be in service time to ensure the accuracy of the service rate, thereby ensuring that mobile operators grasp accurate network status, providing important basis for network optimization to improve Network service quality.

In order to implement the method of the embodiment of the present disclosure, the embodiment of the present disclosure also provides a base station service rate determination device. As shown in Figure 16, the base station service rate determination device 1600 includes: a first acquisition module 1601, a second acquisition module 1602 and determination module 1603.

The first acquisition module 1601 is configured to acquire base station configuration data, and determine how long the base station should be in service during the query time period based on the configuration data.

The second acquisition module 1602 is configured to acquire the performance data reported by the base station, and determine the service time of the base station within the query time period based on the performance data.

The determination module 1603 is configured to determine the base station service rate during the query time period based on the length of time the base station should be in service and the length of time the base station is in service during the query time period.

In actual application, the first acquisition module 1601, the second acquisition module 1602 and the determination module 1603 may be implemented by a processor in the base station's service rate determination device.

It should be noted that when the above-mentioned device provided in the above-mentioned embodiment is executed, only the division of the above-mentioned program modules is used as an example. In actual application, the above-mentioned processing can be assigned to be completed by different program modules as needed, that is, the terminal The internal structure is divided into different program modules to complete all or part of the processing described above. In addition, the above-mentioned device provided by the above-mentioned embodiments and the above-mentioned method embodiments belong to the same concept. For details of the implementation process, please refer to the method embodiments, which will not be described again here.

In order to implement the method of the embodiment of the present disclosure, the embodiment of the present disclosure also provides a computer program product. The computer program product includes computer instructions, and the computer instructions are stored in a computer-readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device performs the steps of the above method.

Based on the hardware implementation of the above program module, and in order to implement the method of the embodiment of the present disclosure, the embodiment of the present disclosure also provides an electronic device (computer device). In one embodiment, the computer device may be a terminal, and its internal structure diagram may be as shown in Figure 17. The computer equipment includes a processor A01, a network interface A02, a display screen A04, an input device A05 and a memory (not shown in the figure) connected through a system bus. Among them, the processor A01 of the computer device is used to provide computing and control capabilities. The memory of the computer device includes internal memory A03 and non-volatile storage medium A06. The non-volatile storage medium A06 stores an operating system B01 and a computer program B02. The internal memory A03 provides an environment for the execution of the operating system B01 and the computer program B02 in the non-volatile storage medium A06. The network interface A02 of the computer device is used to communicate with external terminals through a network connection. When the computer program is executed by the processor A01, the method of any one of the above embodiments is implemented. The display screen A04 of the computer device may be a liquid crystal display or an electronic ink display. The input device A05 of the computer device may be a touch layer covered on the display screen, or may be a button, trackball or touch screen provided on the shell of the computer device. A control panel can also be an external keyboard, trackpad, or mouse.

Those skilled in the art can understand that the structure shown in Figure 17 is only a block diagram of a partial structure related to the disclosed solution, and does not constitute a limitation on the computer equipment to which the disclosed solution is applied. The computer device may include more than The figures show more or fewer parts, or certain parts combined, or with different arrangements of parts.

The device provided by the embodiments of the present disclosure includes a processor, a memory, and a program stored in the memory and executable on the processor. When the processor executes the program, the method of any of the above embodiments is implemented.

Those skilled in the art will appreciate that embodiments of the present disclosure may be provided as methods, systems, or computer program products. Accordingly, the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment that combines software and hardware aspects. Furthermore, the present disclosure may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.

The disclosure is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the disclosure. It will be understood that each process and/or block in the flowchart illustrations and/or block diagrams, and combinations of processes and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing device to produce a machine, such that the instructions executed by the processor of the computer or other programmable data processing device produce a use A device for realizing the functions specified in one process or multiple processes of the flowchart and/or one block or multiple blocks of the block diagram.

These computer program instructions may also be stored in a computer-readable memory that causes a computer or other programmable data processing apparatus to operate in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including the instruction means, the instructions The device implements the functions specified in a process or processes of the flowchart and/or a block or blocks of the block diagram.

These computer program instructions may also be loaded onto a computer or other programmable data processing device, causing a series of operating steps to be performed on the computer or other programmable device to produce computer-implemented processing, thereby executing on the computer or other programmable device. Instructions provide steps for implementing the functions specified in a process or processes of a flowchart diagram and/or a block or blocks of a block diagram.

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

Memory may include non-volatile memory in computer-readable media, random access memory (RAM), and/or non-volatile memory in the form of read-only memory (ROM) or flash memory (flashRAM). Memory is an example of a computer-readable medium.

Computer-readable media includes both persistent and non-volatile, removable and non-removable media and may be implemented by any method or technology for storage of information. Information may be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), and read-only memory. (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, Magnetic tape cassettes, tape magnetic disk storage or other magnetic storage devices or any other non-transmission medium can be used to store information that can be accessed by a computing device. As defined in this article, computer-readable media does not include transitory media, such as modulated data signals and carrier waves.

It can be understood that the memory in the embodiment of the present disclosure may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories. Among them, non-volatile memory can be read-only memory (ROM, Read Only Memory), programmable read-only memory (PROM, Programmable Read-Only Memory), erasable programmable read-only memory (EPROM, Erasable Programmable Read-Only Memory). Only Memory), Electrically Erasable Programmable Read-Only Memory (EEPROM, Electrically Erasable Programmable Read-Only Memory), Magnetic Random Access Memory (FRAM, ferromagnetic random access memory), Flash Memory, Magnetic Surface Memory , optical disk, or compact disc (CD-ROM, Compact Disc Read-Only Memory); magnetic surface memory can be disk storage or tape storage. Volatile memory can be random access memory (RAM, Random Access Memory), which is used as an external cache. By way of illustration, but not limitation, many forms of RAM are available, such as Static Random Access Memory (SRAM), Synchronous Static Random Access Memory (SSRAM), Dynamic Random Access Memory Memory (DRAM, Dynamic Random Access Memory), synchronous dynamic random access memory (SDRAM, Synchronous Dynamic Random Access Memory), double data rate synchronous dynamic random access memory (DDRSDRAM, Double Data Rate Synchronous Dynamic Random Access Memory), enhanced Type Synchronous Dynamic Random Access Memory (ESDRAM, Enhanced Synchronous Dynamic Random Access Memory), Synchronous Link Dynamic Random Access Memory (SLDRAM, SyncLink Dynamic Random Access Memory), Direct Memory Bus Random Access Memory (DRRAM, Direct Rambus Random Access Memory) ). Memories described in embodiments of the present disclosure are intended to include, but are not limited to, these and any other suitable types of memory.

The base station service rate determination method, device, electronic equipment and storage medium provided by the embodiments of the present disclosure obtain base station configuration data, and determine how long the base station should be in service during the query time period based on the configuration data; obtain the performance data reported by the base station, and determine based on the performance data Determine the service time of the base station during the query time period; determine the service rate of the base station during the query time period based on the length of time the base station should be in service and the service time of the base station during the query time period. The solution provided by the present disclosure can accurately calculate the service rate of the base station, so that the operator can timely and accurately understand the network service status when conducting statistics on the service status of the base station.

It should also be noted that the terms "comprises," "comprises," or any other variation thereof are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements, but also Other elements are not expressly listed or are inherent to the process, method, article or equipment. Without further limitation, an element qualified by the statement "comprises a..." does not exclude the presence of additional identical elements in the process, method, good, or device that includes the element.

The above are only examples of the present disclosure and are not intended to limit the present disclosure. Various modifications and variations may occur to the present disclosure to those skilled in the art. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of this disclosure shall be included in the scope of the claims of this disclosure.

Claims

A method for determining base station service rate, including:

Obtain base station configuration data, and determine how long the base station should be in service during the query time period based on the configuration data;

Obtain the performance data reported by the base station, and determine the service time of the base station within the query time period based on the performance data; and

According to the length of time the base station should be in service during the query time period and the length of time the base station is in service, the base station service rate in the query time period is determined.
The method according to claim 1, wherein said obtaining base station configuration data and determining how long the base station should be in service during the query time period according to the configuration data includes:

According to the configuration data, determine the base station configuration duration and base station migration duration within the query time period; and

The difference between the base station configuration time and the base station migration time is used as the time the base station should be in service during the query time period.
The method according to claim 2, wherein determining the base station configuration duration within the query time period according to the configuration data includes:

According to the configuration data, determine the first access time of the base station; and

Based on the first access time of the base station, the base station configuration duration within the query time period is determined.
The method according to claim 2, wherein determining the base station migration time period within the query time period according to the configuration data includes:

Obtain the base station relocation collection time within the query time period and the base station reconnection collection time after relocation from the configuration data; and

The difference between the re-access collection time after the base station moves out and the base station move-out collection time is used as the base station move-out time.
The method according to claim 4, wherein obtaining the base station migration collection time within the query time period from the configuration data includes:

Determine the base station relocation time from the configuration data;

According to the base station move-out time, determine the collection time of a collection granularity before the base station move-out moment; and

The collection time of the next collection granularity before the base station move-out time is used as the base station move-out collection time.
The method according to claim 4, wherein obtaining from the configuration data the re-access collection time after the base station moves out within the query time period includes:

Determine the reconnection time after the base station moves out from the configuration data;

According to the re-connection time after the base station moves out, determine the collection time of a collection granularity before the re-connection time after the base station moves out; and

The collection time at the previous collection granularity before the re-access time after the base station moves out is used as the re-access collection time after the base station moves out.
The method according to claim 1, wherein determining the base station service rate based on the length of time the base station should be in service and the length of time the base station is in service includes:

According to the length of time the base station should be in service and the length of time the base station is in service, the following formula is used to determine the base station service rate:

Base station service rate = base station service time/base station should be in service time × 100%.
A device for determining service rate of a base station, including:

The first acquisition module is configured to acquire base station configuration data, and determine how long the base station should be in service during the query time period based on the configuration data;

The second acquisition module is configured to acquire the performance data reported by the base station, and determine the service time of the base station within the query time period based on the performance data; and

The determination module is configured to determine the service rate of the base station within the query time period based on the length of time the base station should be in service and the length of time the base station is in service within the query time period.
An electronic device, including: a processor and a memory for storing a computer program capable of running on the processor; wherein,

When the processor is used to run the computer program, perform the method described in any one of claims 1 to 7.
A storage medium in which a computer program is stored, wherein when the computer program is executed by a processor, the method of any one of claims 1 to 7 is implemented.