Method, device, equipment and medium for analyzing service stability based on call delay

Abstract

The present invention relates to communication technology, and discloses a method for analyzing service stability based on call delay, including: initiating multiple calls according to a call list of a preset service, counting the call delay of each call and the processing time of each service node in the preset service executed before answering each call, calculating the ratio between the processing time of each service node and the call delay of the corresponding call, obtaining the delay ratio of each service node in each call, calculating the fluctuation range of the delay ratio of the same service node in different calls, and taking the service node with a fluctuation range greater than a preset range threshold as the service node to be improved. The present invention also proposes a device, equipment and medium for analyzing service stability based on call delay. The present invention can improve service stability and user experience.

Description

Technical Field

[0001] The present invention relates to the field of communication technology, and in particular to a service stability analysis method, device, electronic device and computer-readable storage medium based on call delay. Background Art

[0002] When the calling party initiates a call request, there is a certain time difference between the time when the called party answers the call and the time when the calling party initiates the call request. This time difference is called call delay. Except for some special cases, such as unstable communication network signals, communication channel congestion, etc., under normal circumstances, the call delay is relatively small, only a few seconds, which has little impact on user experience.

[0003] However, with the rapid development of science and technology and economy, in order to provide users with more convenient and more intimate communication services, a variety of additional services have been born in the communication services. For example, in order to prevent fraudulent calls, flexible communication services can be used to perform additional service operations such as identity authentication and fraudulent call identification on the caller before the called party answers the call from the caller. Usually, the communication service itself will carry certain business logic processing tasks of the additional service. When the additional service is unstable when executing the relevant business logic processing, it will often lead to an increase in call delay. When the call delay is long, it will reduce the user's call experience. Therefore, in the above-mentioned communication services, it is very necessary to analyze the stability of the additional service. Through the stability analysis of the additional service, the stability of the additional service can be better maintained, the impact on call delay can be reduced, and the user experience can be improved. Summary of the invention

[0004] The present invention provides a service stability analysis method, device and computer-readable storage medium based on call delay, the main purpose of which is to improve service stability and user experience.

[0005] To achieve the above object, the present invention provides a service stability analysis method based on call delay, comprising:

[0006] Obtaining a call list of a preset service, wherein the preset service includes multiple service nodes, the call list includes multiple calling numbers and multiple called numbers, and initiating multiple calls from any calling number to any called number according to the call list of the preset service;

[0007] Counting the call delay of each call and the processing time of each service node in the preset service executed before answering each call;

[0008] Calculate the ratio of the processing time of each service node to the call delay of the corresponding call, and obtain the delay ratio of each service node in each call;

[0009] The fluctuation range of the delay proportion of the same service node in different calls is calculated, and the service node whose fluctuation range is greater than a preset range threshold is taken as the service node to be improved.

[0010] Optionally, the method is characterized in that the method of initiating multiple calls from any calling number to any called number according to the call list of the preset service includes:

[0011] According to the call list of the preset service, randomly create a voice path mapping relationship between the calling number and the called number;

[0012] According to the speech path mapping relationship, a call is initiated between the calling number and its corresponding called number.

[0013] Optionally, the counting of the call delay of each call and the processing time of each service node in the preset service executed before answering each call comprises:

[0014] Obtaining the initiation timestamp and answering timestamp of each call and the triggering timestamp of each service node before the corresponding call is answered;

[0015] Calculate the call delay of the corresponding call according to the initiation timestamp and the answering timestamp of each call;

[0016] The processing order of each service node in the preset service is identified, and the processing time of each service node is calculated according to the processing order of each service node, a trigger timestamp and an answering timestamp of a corresponding call.

[0017] In order to solve the above problem, the present invention also provides a service stability analysis device based on call delay, the device comprising:

[0018] An automatic calling module, used to obtain a call list of a preset service, wherein the preset service includes multiple service nodes, the call list includes multiple calling numbers and multiple called numbers, and initiate multiple calls from any calling number to any called number according to the call list of the preset service;

[0019] A call monitoring module, used to count the call delay of each call and the processing time of each service node in the preset service executed before answering each call;

[0020] The node identification module to be improved is used to calculate the ratio between the processing time of each service node and the call delay of the corresponding call, and obtain the delay ratio of each service node in each call; calculate the fluctuation range of the delay ratio of the same service node in different calls, and take the service node with a fluctuation range greater than a preset range threshold as the service node to be improved.

[0021] In order to solve the above problem, the present invention further provides an electronic device, the electronic device comprising:

[0022] a memory storing at least one computer program; and

[0023] The processor executes the computer program stored in the memory to implement the above-mentioned service stability analysis method based on call delay.

[0024] In order to solve the above problems, the present invention also provides a computer-readable storage medium, in which at least one computer program is stored. The at least one computer program is executed by a processor in an electronic device to implement the above-mentioned service stability analysis method based on call delay.

[0025] The present invention application automatically initiates multiple calls, counts the call delay of each call and the delay proportion of each service node in each call, and further calculates the fluctuation range of the delay proportion of the same service node in different calls, and locates the service nodes that need to be improved through the fluctuation range, thereby providing a scientific focus for improving service stability, controlling the call delay of each call, and improving user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 A flow chart of a service stability analysis method based on call delay provided by an embodiment of the present invention;

[0027] Figure 2 for Figure 1 A schematic diagram of a detailed implementation process of one of the steps in the service stability analysis method based on call delay is shown;

[0028] Figure 3 A functional module diagram of a service stability analysis device based on call delay provided by an embodiment of the present invention;

[0029] Figure 4 A schematic diagram of the structure of an electronic device for implementing the call delay-based service stability analysis method provided in one embodiment of the present invention.

[0030] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0031] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0032] The embodiment of the present application provides a method for analyzing business stability based on call delay. The execution subject of the method for analyzing business stability based on call delay includes but is not limited to at least one of the electronic devices such as a server and a terminal that can be configured to execute the method provided by the embodiment of the present application. In other words, the method for analyzing business stability based on call delay can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server can be an independent server, or it can be a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (CDN), and big data and artificial intelligence platforms.

[0033] Reference Figure 1 FIG. 1 is a flow chart of a method for analyzing service stability based on call delay according to an embodiment of the present invention. In this embodiment, the method for analyzing service stability based on call delay includes:

[0034] S1. Obtain a call list of a preset service, wherein the preset service includes multiple service nodes, the call list includes multiple calling numbers and multiple called numbers, and initiate multiple calls from any calling number to any called number according to the call list of the preset service;

[0035] In an embodiment of the present invention, the preset service can be any communication service that requires service stability analysis, and the preset service has the characteristic that the main processing logic of the service is concentrated on a call before it is answered, so that it is convenient to combine the call delay data of the call to perform relevant service stability analysis. The preset service includes multiple service nodes, and each of the service nodes can be understood as a service logic processing unit. It can be understood that under the same communication network conditions, the call delays generated by the same preset service in multiple calls are relatively close, especially when the stability of the preset service is relatively high, the corresponding call delay tends to a stable level.

[0036] In the embodiment of the present invention, the call list of the preset service refers to a list containing multiple calling numbers and called numbers for call testing. These calling numbers or called numbers have signed up for the preset service according to the needs of the preset service. In calls generated by these numbers, the preset service needs to be called up to perform related service processing. In addition, these numbers can be real phone numbers with unique SIM card information, or virtual phone numbers.

[0037] In detail, the method of initiating multiple calls from any calling number to any called number based on the call list of the preset service includes: randomly creating a voice path mapping relationship between the calling number and the called number based on the call list of the preset service; and initiating a call between the calling number and its corresponding called number based on the voice path mapping relationship.

[0038] In the embodiment of the present invention, in the voice path mapping relationship, one calling number corresponds to multiple called numbers, and multiple voice paths can be formed, thereby ensuring a sufficient number of calls, and further improving the accuracy of service stability analysis.

[0039] In the embodiment of the present invention, the calling number and the called number can be configured through the public dialing software to realize the automatic dialing function of the calling number calling the called number, thereby improving the work efficiency.

[0040] S2. Counting the call delay of each call and the processing time of each service node in the preset service executed before answering each call;

[0041] In the embodiment of the present invention, the service node refers to a service node that needs to be considered separately in the service stability analysis of the preset service, and the service node has the characteristic of functional integrity.

[0042] For details, see Figure 2 As shown, the S2 comprises:

[0043] S21, obtaining the initiation timestamp and answering timestamp of each call and the triggering timestamp of each service node before the corresponding call is answered;

[0044] S22, calculating the call delay of the corresponding call according to the initiation timestamp and the answering timestamp of each call;

[0045] S23. Identify the processing order of each service node in the preset service, and calculate the processing time of each service node according to the processing order of each service node, a trigger timestamp, and an answering timestamp of a corresponding call.

[0046] In the embodiment of the present invention, a preset call monitoring function can be used to set nodes that need to be monitored in each call, for example, a call initiating node, each of the service node triggering nodes, and a call receiving node.

[0047] In the embodiment of the present invention, the call initiation timestamp, the answering timestamp and the triggering timestamp of each service node can be obtained by capturing the timestamp of the system.

[0048] In the embodiment of the present invention, the processing order of each of the service nodes may be identified based on the sequence relationship of the trigger timestamps of each of the service nodes.

[0049] In an embodiment of the present invention, according to the processing order of each of the service nodes, the trigger event stamp of the previous service node is subtracted from the trigger timestamp of the subsequent service node to obtain the processing duration of the previous service node, and the trigger timestamp of the last service node is subtracted from the call answering timestamp to obtain the processing duration of the last service node.

[0050] It can be understood that the processing time of the last service node includes the processing time of the actual service node and the connection time of the corresponding call in the communication network. Under the scenario of the same communication network conditions, the impact of the connection time of the corresponding call in the communication network on the service stability analysis can be ignored.

[0051] S3. Calculate the ratio of the processing time of each service node to the call delay of the corresponding call, and obtain the delay ratio of each service node in each call;

[0052] In an embodiment of the present invention, for example, the service nodes are node A, node B, and node C, respectively, and the corresponding call durations are 5 seconds, 6 seconds, and 4 seconds, and the call delay corresponding to a call is 15 seconds. In this call, the delay of node A accounts for 33%, the delay of node B accounts for 40%, and the delay of node C accounts for 27%.

[0053] It is understandable that the latency proportions of the same service node in different calls may be the same or different.

[0054] S4. Calculate the fluctuation range of the delay ratio of the same service node in different calls, and take the service node whose fluctuation range is greater than a preset range threshold as the service node to be improved.

[0055] In the embodiment of the present invention, it can be understood that the higher the processing stability of the service node, the more stable the delay ratio generated in different calls, and the smaller the corresponding fluctuation range. For example, in 5 calls, the delay ratio of service node A was 20%, 20.6%, 19.8%, 20.5%, and 20.8%, respectively, and the delay ratio of service node B was 32%, 35%, 40%, 33%, and 28%, respectively. In comparison, the fluctuation range of service node B is greater than that of service node A.

[0056] In an embodiment of the present invention, the mean square error formula can be used to calculate the fluctuation range of the delay ratio of the same service node in different calls, or the discrete degree of the delay ratio data of the same service node, that is, the fluctuation range, can be reflected in the form of a data graph.

[0057] The present invention application automatically initiates multiple calls, counts the call delay of each call and the delay proportion of each service node in each call, and further calculates the fluctuation range of the delay proportion of the same service node in different calls, and locates the service nodes that need to be improved through the fluctuation range, thereby providing a scientific focus for improving service stability, controlling the call delay of each call, and improving user experience.

[0058] like Figure 3 , which is a functional module diagram of a service stability analysis device based on call delay provided by an embodiment of the present invention.

[0059] The service stability analysis device 100 based on call delay of the present invention can be installed in an electronic device. According to the functions to be implemented, the service stability analysis device 100 based on call delay can include an automatic calling module 101, a call monitoring module 102 and a node identification module to be improved 103. The module of the present invention can also be called a unit, which refers to a series of computer program segments that can be executed by a processor of an electronic device and can complete fixed functions, which are stored in the memory of the electronic device.

[0060] In this embodiment, the functions of each module / unit are as follows:

[0061] The automatic calling module 101 is used to obtain a call list of a preset service, wherein the preset service includes multiple service nodes, the call list includes multiple calling numbers and multiple called numbers, and initiate multiple calls from any calling number to any called number according to the call list of the preset service;

[0062] The call monitoring module 102 is used to count the call delay of each call and the processing time of each service node in the preset service executed before answering each call;

[0063] The node identification module 103 for improvement is used to calculate the ratio between the processing time of each service node and the call delay of the corresponding call, and obtain the delay ratio of each service node in each call; calculate the fluctuation range of the delay ratio of the same service node in different calls, and take the service node with a fluctuation range greater than a preset range threshold as the service node for improvement.

[0064] In detail, each module in the service stability analysis device 100 based on call delay in the embodiment of the present invention adopts the same method as above when used. Figure 1 to Figure 2 The same technical means as the service stability analysis method based on call delay described in the specification and the like can produce the same technical effects, which will not be repeated here.

[0065] like Figure 4 FIG. 1 is a schematic diagram of the structure of an electronic device for implementing a service stability analysis method based on call delay provided by an embodiment of the present invention.

[0066] The electronic device 1 may include a processor 10, a memory 11 and a bus, and may also include a computer program stored in the memory 11 and executable on the processor 10, such as a service stability analysis program based on call delay.

[0067] The memory 11 includes at least one type of readable storage medium, and the readable storage medium includes a flash memory, a mobile hard disk, a multimedia card, a card-type memory (e.g., SD or DX memory, etc.), a magnetic memory, a disk, an optical disk, etc. In some embodiments, the memory 11 may be an internal storage unit of the electronic device 1, such as a mobile hard disk of the electronic device 1. In other embodiments, the memory 11 may also be an external storage device of the electronic device 1, such as a plug-in mobile hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device 1. Further, the memory 11 may also include both an internal storage unit of the electronic device 1 and an external storage device. The memory 11 may not only be used to store application software and various types of data installed in the electronic device 1, such as the code of a service stability analysis program based on call delay, etc., but may also be used to temporarily store data that has been output or is to be output.

[0068] The processor 10 may be composed of an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or a plurality of packaged integrated circuits with the same or different functions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and combinations of various control chips, etc. The processor 10 is the control core (Control Unit) of the electronic device, and uses various interfaces and lines to connect various components of the entire electronic device, and executes or executes programs or modules (such as a service stability analysis program based on call delay, etc.) stored in the memory 11, and calls data stored in the memory 11 to execute various functions of the electronic device 1 and process data.

[0069] The bus may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is configured to realize connection and communication between the memory 11 and at least one processor 10, etc.

[0070] Figure 4 Only an electronic device with components is shown, and those skilled in the art will understand that Figure 4 The structure shown does not constitute a limitation on the electronic device 1, and may include fewer or more components than shown in the figure, or combine certain components, or arrange the components differently.

[0071] For example, although not shown, the electronic device 1 may also include a power source (such as a battery) for supplying power to each component. Preferably, the power source may be logically connected to the at least one processor 10 through a power management device, so that the power management device can realize functions such as charging management, discharging management, and power consumption management. The power source may also include any components such as one or more DC or AC power sources, recharging devices, power failure detection circuits, power converters or inverters, power status indicators, etc. The electronic device 1 may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.

[0072] Furthermore, the electronic device 1 may also include a network interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device 1 and other electronic devices.

[0073] Optionally, the electronic device 1 may further include a user interface, which may be a display, an input unit (such as a keyboard), or a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, and an OLED (Organic Light-Emitting Diode) touch device. The display may also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the electronic device 1 and to display a visual user interface.

[0074] It should be understood that the embodiment is for illustration only and the scope of the patent application is not limited to this structure.

[0075] The service stability analysis program based on call delay stored in the memory 11 of the electronic device 1 is a combination of multiple instructions. When running in the processor 10, it can achieve:

[0076] Obtaining a call list of a preset service, wherein the preset service includes multiple service nodes, the call list includes multiple calling numbers and multiple called numbers, and initiating multiple calls from any calling number to any called number according to the call list of the preset service;

[0077] Counting the call delay of each call and the processing time of each service node in the preset service executed before answering each call;

[0078] Calculate the ratio of the processing time of each service node to the call delay of the corresponding call, and obtain the delay ratio of each service node in each call;

[0079] Specifically, the specific implementation method of the processor 10 for the above instructions can refer to Figure 1 The description of the relevant steps in the corresponding embodiments will not be repeated here.

[0080] Furthermore, if the module / unit integrated in the electronic device 1 is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM).

[0081] The present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor of an electronic device, the computer program can implement:

[0082] Obtaining a call list of a preset service, wherein the preset service includes multiple service nodes, the call list includes multiple calling numbers and multiple called numbers, and initiating multiple calls from any calling number to any called number according to the call list of the preset service;

[0083] Counting the call delay of each call and the processing time of each service node in the preset service executed before answering each call;

[0084] Calculate the ratio of the processing time of each service node to the call delay of the corresponding call, and obtain the delay ratio of each service node in each call;

[0085] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, apparatuses and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation.

[0086] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0087] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0088] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0089] Therefore, no matter from which point of view, the embodiments should be regarded as illustrative and non-restrictive, and the scope of the present invention is limited by the appended claims rather than the above description, so it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims are included in the present invention. Any attached figure mark in the claims should not be regarded as limiting the claims involved.

[0090] The blockchain referred to in this invention is a new application mode of computer technologies such as distributed data storage, peer-to-peer transmission, consensus mechanism, encryption algorithm, etc. Blockchain is essentially a decentralized database, a string of data blocks generated by cryptographic methods. Each data block contains a batch of network transaction information, which is used to verify the validity of its information (anti-counterfeiting) and generate the next block. Blockchain can include the underlying blockchain platform, platform product service layer, and application service layer.

[0091] The embodiments of the present application can acquire and process relevant data based on artificial intelligence technology. Among them, artificial intelligence (AI) is the theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results.

[0092] In addition, it is clear that the word "comprising" does not exclude other units or steps, and the singular does not exclude the plural. Multiple units or devices stated in the system claim can also be implemented by one unit or device through software or hardware. The second and other words are used to indicate names, but not to indicate any particular order.

[0093] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A service stability analysis method based on call delay, characterized in that: The method comprises: Obtaining a call list of a preset service, wherein the preset service includes multiple service nodes, the call list includes multiple calling numbers and multiple called numbers, and initiating multiple calls from any calling number to any called number according to the call list of the preset service, each of the service nodes is a service logic processing unit, the call list refers to a plurality of calling numbers and called numbers for call testing, and the preset service is a communication service that requires service stability analysis; Counting the call delay of each call and the processing time of each service node in the preset service executed before answering each call; Calculate the ratio of the processing time of each service node to the call delay of the corresponding call, and obtain the delay ratio of each service node in each call; Calculate the fluctuation range of the delay ratio of the same service node in different calls, and take the service node whose fluctuation range is greater than the preset amplitude threshold as the service node to be improved, wherein the fluctuation range includes the discrete degree of the delay ratio data of the same service node; The initiating multiple calls from any calling number to any called number according to the call list of the preset service includes: According to the call list of the preset service, randomly create a voice path mapping relationship between the calling number and the called number, wherein in the voice path mapping relationship, one calling number corresponds to multiple called numbers; According to the speech path mapping relationship, a call is initiated between the calling number and its corresponding called number.

2. The service stability analysis method based on call delay according to claim 1, characterized in that: The counting of the call delay of each call and the processing time of each service node in the preset service executed before answering each call includes: Obtaining the initiation timestamp and answering timestamp of each call and the triggering timestamp of each service node before the corresponding call is answered; Calculate the call delay of the corresponding call according to the initiation timestamp and the answering timestamp of each call; The processing order of each service node in the preset service is identified, and the processing time of each service node is calculated according to the processing order of each service node, a trigger timestamp and an answering timestamp of a corresponding call.

3. A service stability analysis device based on call delay, characterized in that: The device comprises: An automatic calling module, used for obtaining a call list of a preset service, wherein the preset service includes a plurality of service nodes, the call list includes a plurality of calling numbers and a plurality of called numbers, and according to the call list of the preset service, multiple calls are initiated from any calling number to any called number, each of the service nodes is a service logic processing unit, the call list refers to a plurality of calling numbers and called numbers for call testing, and the preset service is a communication service that requires service stability analysis; A call monitoring module, used to count the call delay of each call and the processing time of each service node in the preset service executed before answering each call; The node identification module to be improved is used to calculate the ratio between the processing time of each service node and the call delay of the corresponding call, and obtain the delay ratio of each service node in each call; calculate the fluctuation range of the delay ratio of the same service node in different calls, and take the service node with a fluctuation range greater than a preset amplitude threshold as the service node to be improved, wherein the fluctuation range includes the discrete degree of the delay ratio data of the same service node; The initiating multiple calls from any calling number to any called number according to the call list of the preset service includes: According to the call list of the preset service, randomly create a voice path mapping relationship between the calling number and the called number, wherein in the voice path mapping relationship, one calling number corresponds to multiple called numbers; According to the speech path mapping relationship, a call is initiated between the calling number and its corresponding called number.

4. An electronic device, characterized in that: The electronic device comprises: at least one processor; and, a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the service stability analysis method based on call delay as described in claim 1 or 2.

5. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the service stability analysis method based on call delay as claimed in claim 1 or 2 is implemented.

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