CN113095517A - Method and device for monitoring and early warning of charging error code and electronic equipment - Google Patents
Method and device for monitoring and early warning of charging error code and electronic equipment Download PDFInfo
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract
The invention discloses a method, a device and electronic equipment for monitoring and early warning a charging error code, wherein the method comprises the following steps: acquiring error codes in the charging error list according to the charging error list generated every day; calculating a fluctuation value of the error code; updating the weight scores of the error codes according to the comparison result of the fluctuation values and preset fluctuation values; and monitoring and early warning the error code according to the updated weight score. The embodiment of the invention endows each type of error codes with the weight score, then updates the weight score according to the fluctuation value of the error codes, and then determines the monitoring strength of the error codes again according to the updated weight score and whether the error codes need to be pre-warned or not. Different analysis standards are set according to different error codes, so that the problem is solved from the source, and the generation of batch charging error lists is avoided.
Description
Technical Field
The present invention relates to the field of a charging BOSS (Business & Operation Support System), and in particular, to a method, an apparatus, and an electronic device for monitoring and warning a charging error code.
Background
In the normal pricing process, due to the loss of user data or the loss of charging parameters and the like, part of normal bills are marked as wrong bills, and maintenance personnel do wrong bill recovery in batches through the recovery job flow so as to reduce the expense loss caused by the fact that the normal bills are marked as wrong bills. The statistical mode of the charging error list is to inquire the real-time quantity of the charging error list according to different error codes through splicing of sql (Structured Query Language) statements, so that reporting of data is realized. The manual discovery of the single sudden increase of the charging error or the abnormal normal batch is poor in timeliness and ambiguous in analysis.
The standard of the current wrong order recovery is only the level of error codes, and batch wrong orders appear in a certain class and are recovered uniformly. When the batch order is wrong, due to code updating errors or some artificial reasons, the batch order is increased in an explosive mode, and a phenomenon that a sensing tool is not used for early warning in a short time is avoided.
Disclosure of Invention
The embodiment of the invention provides a method and a device for monitoring and early warning a charging error code and electronic equipment, and aims to solve the problem that the increase of a charging error list cannot be early warned at present.
In order to solve the technical problem, the invention is realized as follows:
in a first aspect, a method for monitoring and warning a charging error code is provided, where the method includes:
acquiring error codes in the charging error list according to the charging error list generated every day;
calculating a fluctuation value of the error code;
updating the weight scores of the error codes according to the comparison result of the fluctuation values and preset fluctuation values;
and monitoring and early warning the error code according to the updated weight score.
In a second aspect, a device for monitoring and warning a charging error code is provided, the device comprising:
the acquisition module is used for acquiring error codes in the billing error list according to the billing error list generated every day;
the computing module is used for computing the fluctuation value of the error code;
the updating module is used for updating the weight scores of the error codes according to the comparison result of the fluctuation values and preset fluctuation values;
and the monitoring and early warning module is used for monitoring and early warning the error codes according to the updated weight scores.
In a third aspect, an electronic device is provided, including: a memory, a processor and a computer program stored on the memory and executable on the processor, the computer program, when executed by the processor, implementing the steps of the method according to the first aspect.
In a fourth aspect, a computer-readable storage medium is provided, on which a computer program is stored, which computer program, when being executed by a processor, realizes the steps of the method according to the first aspect.
In the embodiment of the invention, the error codes in the charging error list are obtained according to the charging error list generated every day, then the fluctuation value of the error codes is calculated, the weight scores of the error codes are updated according to the comparison result of the fluctuation value and the preset fluctuation value, and finally the error codes are monitored and early warned according to the updated weight scores. According to the embodiment of the invention, each type of error code is endowed with the weight score, then the weight score is updated according to the fluctuation value of the error code, and the monitoring strength and whether to give an early warning are determined again through the updated weight score. Different analysis standards are set according to different error codes, and the problem of sudden increase possibly caused by charging error list is solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention and not to limit the invention. In the drawings:
fig. 1 is a flowchart illustrating a method for monitoring and warning a charging error code according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a monitoring and early warning apparatus for a charging error code according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment of the invention provides a method and a device for monitoring and early warning a charging error code and electronic equipment. The method comprises the steps of obtaining effective error code information according to a charging error list generated every day, obtaining the weight fraction of the batch of error codes according to the fluctuation value of the error codes, and determining whether to carry out quantitative analysis and early warning on the batch of charging error list.
As shown in fig. 1, a flowchart of a method for monitoring and warning a charging error code according to an embodiment of the present invention is provided. As shown in the figure, the method for monitoring and warning billing error code may include the contents of steps S101 to S104.
In step S101, an error code in the billing error list is obtained according to the daily generated billing error list.
In the embodiment of the invention, the original billing error list generated every day is acquired, the original billing error list is converted in format, the original billing error list is imported into topic (a collection of messages) of kafka (a distributed message queue) through a flash (water tank, log collection system) program, modules, service types and error codes are distinguished when the topic is imported, and the error code classification in a detailed file and the calling numbers of all billing error lists are extracted for subsequent analysis and use.
In step S102, a fluctuation value of the error code is calculated.
In the embodiment of the invention, the fluctuation value of the error code is calculated according to the obtained error code. Specifically, the fluctuation value of the error code is calculated through the number of error codes on the day of the error code and the historical number of the error codes.
In step S103, the weighting score of the error code is updated according to the comparison result between the fluctuation value and the preset fluctuation value.
In the embodiment of the invention, the calculated fluctuation value is compared with a preset fluctuation value, and the weight score of the error code is updated according to the comparison result. And if the calculated fluctuation value is larger than the preset fluctuation value, increasing the weight score of the error code, otherwise, keeping the weight score of the error code unchanged.
In step S104, the error code is monitored and pre-warned according to the updated weight score.
In the embodiment of the invention, the system monitors the error codes to different degrees according to the updated weight scores. If the weight score of the updated error code is increased, the monitoring strength of the error code is increased, an early warning is sent out, the source of the error code is mainly analyzed, and the error code is analyzed, counted and reported regularly. And if the updated weight score of the error code is not changed, monitoring according to the original monitoring strength of the error code. If the weight score of the updated error code is reduced, it indicates that the source of the error code is not the type of the error list requiring important analysis, for example, the generation of an irregular large-batch order error list caused by the manual update of the code or the system host abnormality, etc., can reduce the monitoring strength of the error code, and does not perform important analysis on the error code.
According to the embodiment of the invention, firstly, the error codes in the charging error list are obtained according to the charging error list generated every day, then the fluctuation value of the error codes is calculated, the weight scores of the error codes are updated according to the comparison result of the fluctuation value and the preset fluctuation value, and finally, the error codes are monitored and early warned according to the updated weight scores. The embodiment of the invention endows each type of error codes with the weight score, then updates the weight score according to the fluctuation value of the error codes, and then determines the monitoring strength of the error codes again according to the updated weight score and whether the error codes need to be pre-warned or not. Different analysis standards are set according to different error codes, so that the problem is solved from the source, and the generation of batch charging error lists is avoided.
In one possible embodiment of the present invention, calculating the fluctuation value of the error code may include:
acquiring the number of historical error codes of the error codes; and calculating the fluctuation value of the error codes according to the current-day error code quantity and the historical error code quantity of the error codes.
Specifically, the fluctuation value of the error code is calculated as follows:
wherein f (wp) is the fluctuation value of the error code; wpjThe number of error codes on the same day as the error codes; wp is the average number of error codes per month; μ is the number of days of the end of the current month; wpiThe number of error codes of the i-th error code of the month.
In the embodiment of the invention, the historical error code quantity of the type of error codes is obtained from the system, the average monthly quantity of the type of error codes is calculated, and the fluctuation value of the error codes is calculated according to the current-day error code quantity and the average monthly quantity of the type of error codes. Whether the error codes are abnormal or not can be reflected through the fluctuation values of the error codes, and whether early warning needs to be carried out on the error codes or not is judged. The service personnel can also effectively analyze the source of fluctuation abnormity through the fluctuation condition, and can further increase the weight analysis proportion of the error codes, and the error codes are listed as key analysis error codes.
In one possible embodiment of the present invention, updating the weight scores of the error codes according to the comparison result of the fluctuation value and the preset fluctuation value includes: updating the weight fraction of the error code according to the following formula:
f(x)＝δ+f(c)
wherein f (x) is the updated weight score of the error code; delta is the historical weight fraction of error codes; f (c) is the fluctuation index score of the error code; a is the value of the volatility index fraction; f (wp) is the fluctuation value of the error code; b is a preset fluctuation value.
In an embodiment of the present invention, the calculated error code fluctuation value is compared with a preset fluctuation value, and if the calculated error code fluctuation value is greater than the preset fluctuation value, a fluctuation index score of the error code is obtained, which indicates that the fluctuation of the error code is large, and correspondingly, the weight score of the error code is increased by the fluctuation index score, so as to obtain an updated weight score of the error code. If the calculated error code fluctuation value is smaller than or equal to the preset fluctuation value, the fluctuation of the error code is in a controllable range, and correspondingly, the weight score of the error code is unchanged. Updating the weight fraction of the error code according to the fluctuation value of the error code, wherein the fluctuation value of the error code is greater than a preset fluctuation value, the weight fraction is increased, and the monitoring strength on the error code is correspondingly increased; the fluctuation value of the error code is less than or equal to the preset fluctuation value, the weight score is unchanged, and the corresponding monitoring strength on the error code is unchanged.
In one possible embodiment of the present invention, the fluctuation index score of the error code may be determined according to the magnitude of the fluctuation value of the error code, that is, when the fluctuation value of the error code belongs to the first range, the fluctuation index score of the error code is a first score; when the fluctuation value of the error code belongs to a second range, the fluctuation index score of the error code is a second score; when the fluctuation value of the error code belongs to the third range, the fluctuation index score of the error code is a third score.
For example, when the fluctuation value of the error code is greater than 20% and less than or equal to 30%, the fluctuation index score of the error code is 5;
when the fluctuation index of the error code is more than 30% and less than or equal to 40%, the fluctuation index score of the error code is 10;
when the fluctuation index of the error code is greater than 40%, the fluctuation index score of the error code is 20.
Specifically, the ranges of the fluctuation values of the error codes in each stage may be set according to actual conditions, and similarly, the fluctuation index scores of the error codes may also be set according to actual conditions.
Further, the weight score of the error code is correspondingly increased by the corresponding fluctuation index score to obtain an updated weight score.
In the embodiment of the invention, different weight scores are added to error codes with different fluctuations, monitoring is carried out according to the updated weight scores, different monitoring strength can be obtained for different error codes, the monitoring strength is increased for error codes with higher weight scores, the monitoring strength is reduced or is unchanged for error codes with lower weight scores, so that the error code information in error lists generated every day can be better analyzed under the condition of limited resources and system capacity, the efficiency is improved, and the cost loss caused by the fact that normal lists are printed into error lists is avoided.
In a possible embodiment of the present invention, monitoring and early warning the error code according to the updated weight score specifically includes:
monitoring an error code according to the preset monitoring strength corresponding to the updated weight score; and if the updated weight score is increased, sending risk early warning of error codes.
In the embodiment of the invention, the system monitors the error codes according to the updated weight scores of the error codes, and monitors according to the original first monitoring strength if the updated weight scores of the error codes are not changed. And if the updated weight score of the error code is increased by the first score, monitoring according to the second monitoring strength, and simultaneously sending out the risk early warning of the error code. And if the updated weight score of the error code is increased by the second score, monitoring according to the third monitoring strength, and simultaneously sending out the risk early warning of the error code. The monitoring strength in the embodiment of the present invention is determined according to the weight score, and specifically, the monitoring strength is determined according to an actual situation, which is not limited herein.
The monitoring strength refers to the strength of analysis on the error codes, and may be different analysis conditions for each subclass in the error codes, different analysis on detailed sources of error sources of the error codes, or different analysis for other classes to distinguish the magnitude of the monitoring strength.
The risk warning for sending the error code specifically refers to sending error code information, such as each small type of error code in the error code, the weight fraction value of the error code, the fluctuation value of the error code, and the counted current date error list total number of the error code.
Further, the system analyzes the source of the abnormal fluctuation according to the risk early warning information, and increases the monitoring of the error codes to be used as the error codes for the next important monitoring.
In one possible embodiment of the invention, the error code comprises a plurality of wind control indexes according to the type. The wind control indexes can be classified into the following four categories: an error code total index, an error code delta index, an error number index, and an error number delta index. Each index has a weight score, and the higher the weight score is, the greater the monitoring degree is. The determination of the weight fraction is described in detail in the above embodiments, and is not described herein again.
In a possible embodiment of the present invention, the method for monitoring and warning a charging error code may further include:
if the charging error list contains the wind control index which is not analyzed, obtaining the parameters of the wind control index which is not analyzed, such as index identification, index description, index effective mark and the like, according to the error code. And acquiring the instruction information of the error code, checking whether the error code is valid information, and if the error code is valid information, taking the wind control index as one of error code analysis.
The source of the analysis of the wind control index of the error code is mainly the average value of the error code from the current month to the current day and the average value of the error code in the previous month, and whether the fluctuation abnormity of the error code belongs to abnormal sudden increase or not is judged according to the comparison of the two data. Wherein, the average value of the previous month and the previous month is only used as an analysis index of the monitoring strength.
In one possible embodiment of the invention, when the fluctuation of the error code exceeds the fluctuation threshold, the corresponding weight score is increased, and if irregular large-batch error list caused by manually updating the code or system host exception occurs, the weight analysis proportion can be adjusted downward according to the situation.
Specifically, the fluctuation value of the error code in a period of time may be analyzed, and if the fluctuation in the period of time is not obvious, that is, the weight score of the error code is not changed, the weight score of the error code may be adjusted downward. Specifically, the setting is made according to actual conditions.
According to the embodiment of the invention, all error codes in the billing error list are subjected to daily quantitative statistics according to weight fraction analysis and risk index definition, so that early warning can be performed when system faults and batch exception occur, problems can be effectively and timely found, effective benefits are increased practically, and the risk of missed receipts is reduced.
Meanwhile, the cognition of maintenance personnel on charging error lists is enhanced by continuously analyzing various charging error codes, so that the problem can be effectively solved from the source, the generation of batch error lists is avoided, and the income is effectively increased.
The embodiment of the invention also provides a monitoring and early warning device for the charging error code. Fig. 2 is a schematic diagram of a monitoring and early warning apparatus for a billing error code according to an embodiment of the present invention. As shown, the apparatus comprises: the system comprises an acquisition module 201, a calculation module 202, an update module 203 and a monitoring and early warning module 204.
The obtaining module 201 is configured to obtain an error code in the billing error ticket according to the billing error ticket generated every day.
The calculation module 202 is configured to calculate a fluctuation value of the error code.
The updating module 203 is configured to update the weight scores of the error codes according to the comparison result of the fluctuation value and the preset fluctuation value.
The monitoring and early warning module 204 is configured to monitor and early warn of error codes according to the updated weight scores.
In the embodiment of the present invention, the obtaining module 201 first obtains the error codes in the billing error list according to the billing error list generated every day, then the calculating module 202 calculates the fluctuation value of the error codes, the updating module 203 updates the weight scores of the error codes according to the comparison result between the fluctuation value calculated by the calculating module 202 and the preset fluctuation value, and the left rear monitoring and early warning module 204 redetermines the monitoring and early warning of the error codes according to the updated weight scores. The embodiment of the invention endows each type of error codes with the weight score, updates the weight score according to the fluctuation value of the error codes, and determines the monitoring strength of the error codes again according to the updated weight score and whether the error codes need to be pre-warned or not. Different analysis standards are set according to different error codes, so that the problem is solved from the source, and the generation of batch charging error lists is avoided.
In one possible embodiment of the invention, the calculation module 202 may be configured to:
acquiring the number of historical error codes of the error codes;
and calculating the fluctuation value of the error codes according to the current-day error code quantity and the historical error code quantity of the error codes.
In a possible embodiment of the present invention, the calculation module 202 is specifically configured to:
the fluctuation value of the error code is calculated as follows:
wherein f (wp) is the fluctuation value of the error code; wpjThe number of error codes on the same day as the error codes; wp is the average number of error codes per month; μ is the number of days since the month; wpiThe number of error codes of the i-th error code of the month.
In a possible embodiment of the present invention, the updating module 203 is specifically configured to:
updating the weight fraction of the error code according to the following formula:
f(x)＝δ+f(c)
wherein f (x) is the updated weight score of the error code; delta is the historical weight fraction of error codes; f (c) is the fluctuation index score of the error code; a is the value of the volatility index fraction; f (wp) is the fluctuation value of the error code; b is a preset fluctuation value.
In one possible embodiment of the present invention, the monitoring and early warning module 204 is specifically configured to:
monitoring an error code according to the preset monitoring strength corresponding to the updated weight score;
and if the updated weight score is increased, sending risk early warning of error codes.
The monitoring and warning device for the charging error code has been described in detail in the above method embodiments, so that reference may be made to the related descriptions in the foregoing embodiments for details of the description of this embodiment, which are not repeated herein.
Fig. 3 is a schematic diagram of a hardware structure of an electronic device for implementing various embodiments of the present invention, where the electronic device 300 includes but is not limited to: radio frequency unit 301, network module 302, audio output unit 303, input unit 304, sensor 305, display unit 306, user input unit 307, interface unit 308, memory 309, processor 310, and power supply 311. Those skilled in the art will appreciate that the electronic device configuration shown in fig. 3 does not constitute a limitation of the electronic device, and that the electronic device may include more or fewer components than shown, or combine certain components, or a different arrangement of components. In the embodiment of the present invention, the electronic device includes, but is not limited to, a mobile phone, a tablet computer, a notebook computer, a palm computer, a vehicle-mounted terminal, a wearable device, a pedometer, and the like.
Wherein, the processor 310 may be configured to:
acquiring error codes in the charging error list according to the charging error list generated every day;
calculating the fluctuation value of the error code;
updating the weight scores of the error codes according to the comparison result of the fluctuation values and the preset fluctuation values;
and monitoring and early warning the error codes according to the updated weight scores.
In the embodiment of the invention, firstly, the error codes in the charging error list are obtained according to the charging error list generated every day, then the fluctuation value of the error codes is calculated, the weight scores of the error codes are updated according to the comparison result of the fluctuation value and the preset fluctuation value, and finally, the error codes are monitored and early warned according to the updated weight scores. The embodiment of the invention endows each type of error codes with the weight score, then updates the weight score according to the fluctuation value of the error codes, and then determines the monitoring strength of the error codes again according to the updated weight score and whether the error codes need to be pre-warned or not. Different analysis standards are set according to different error codes, so that the problem is solved from the source, and the generation of batch charging error lists is avoided.
It should be understood that, in the embodiment of the present invention, the radio frequency unit 301 may be used for receiving and sending signals during a message sending and receiving process or a call process, and specifically, receives downlink data from a base station and then processes the received downlink data to the processor 310; in addition, the uplink data is transmitted to the base station. In general, radio frequency unit 301 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. In addition, the radio frequency unit 301 can also communicate with a network and other devices through a wireless communication system.
The electronic device provides wireless broadband internet access to the user via the network module 302, such as assisting the user in sending and receiving e-mails, browsing web pages, and accessing streaming media.
The audio output unit 303 may convert audio data received by the radio frequency unit 301 or the network module 302 or stored in the memory 309 into an audio signal and output as sound. Also, the audio output unit 303 may also provide audio output related to a specific function performed by the electronic apparatus 300 (e.g., a call signal reception sound, a message reception sound, etc.). The audio output unit 303 includes a speaker, a buzzer, a receiver, and the like.
The input unit 304 is used to receive audio or video signals. The input Unit 304 may include a Graphics Processing Unit (GPU) 3041 and a microphone 3042, and the Graphics processor 3041 processes image data of a still picture or video obtained by an image capturing apparatus (e.g., a camera) in a video capturing mode or an image capturing mode. The processed image frames may be displayed on the display unit 306. The image frames processed by the graphic processor 3041 may be stored in the memory 309 (or other storage medium) or transmitted via the radio frequency unit 301 or the network module 302. The microphone 3042 may receive sounds and may be capable of processing such sounds into audio data. The processed audio data may be converted into a format output transmittable to a mobile communication base station via the radio frequency unit 301 in case of the phone call mode.
The electronic device 300 also includes at least one sensor 305, such as a light sensor, motion sensor, and other sensors. Specifically, the light sensor includes an ambient light sensor that adjusts the brightness of the display panel 3061 according to the brightness of ambient light, and a proximity sensor that turns off the display panel 3061 and/or the backlight when the electronic device 300 is moved to the ear. As one type of motion sensor, an accelerometer sensor can detect the magnitude of acceleration in each direction (generally three axes), detect the magnitude and direction of gravity when stationary, and can be used to identify the posture of an electronic device (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), and vibration identification related functions (such as pedometer, tapping); the sensors 305 may also include fingerprint sensors, pressure sensors, iris sensors, molecular sensors, gyroscopes, barometers, hygrometers, thermometers, infrared sensors, etc., which are not described in detail herein.
The display unit 306 is used to display information input by the user or information provided to the user. The Display unit 306 may include a Display panel 3061, and the Display panel 3061 may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like.
The user input unit 307 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the electronic device. Specifically, the user input unit 307 includes a touch panel 3071 and other input devices 3072. The touch panel 3071, also referred to as a touch screen, may collect touch operations by a user on or near the touch panel 3071 (e.g., operations by a user on or near the touch panel 3071 using a finger, a stylus, or any suitable object or attachment). The touch panel 3071 may include two parts of a touch detection device and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 310, and receives and executes commands sent by the processor 310. In addition, the touch panel 3071 may be implemented using various types, such as resistive, capacitive, infrared, and surface acoustic wave. The user input unit 307 may include other input devices 3072 in addition to the touch panel 3071. Specifically, the other input devices 3072 may include, but are not limited to, a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a trackball, a mouse, and a joystick, which are not described herein.
Further, the touch panel 3071 may be overlaid on the display panel 3061, and when the touch panel 3071 detects a touch operation on or near the touch panel, the touch operation is transmitted to the processor 310 to determine the type of the touch event, and then the processor 310 provides a corresponding visual output on the display panel 3061 according to the type of the touch event. Although the touch panel 3071 and the display panel 3061 are shown in fig. 3 as two separate components to implement the input and output functions of the electronic device, in some embodiments, the touch panel 3071 and the display panel 3061 may be integrated to implement the input and output functions of the electronic device, which is not limited herein.
The interface unit 308 is an interface for connecting an external device to the electronic apparatus 300. For example, the external device may include a wired or wireless headset port, an external power supply (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device having an identification module, an audio input/output (I/O) port, a video I/O port, an earphone port, and the like. The interface unit 308 may be used to receive input (e.g., data information, power, etc.) from an external device and transmit the received input to one or more elements within the electronic apparatus 300 or may be used to transmit data between the electronic apparatus 300 and the external device.
The memory 309 may be used to store software programs as well as various data. The memory 309 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. Further, the memory 309 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.
The processor 310 is a control center of the electronic device, connects various parts of the whole electronic device by using various interfaces and lines, performs various functions of the electronic device and processes data by operating or executing software programs and/or modules stored in the memory 309 and calling data stored in the memory 309, thereby performing overall monitoring of the electronic device. Processor 310 may include one or more processing units; preferably, the processor 310 may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 310.
The electronic device 300 may further include a power supply 311 (such as a battery) for supplying power to various components, and preferably, the power supply 311 may be logically connected to the processor 310 through a power management system, so as to implement functions of managing charging, discharging, and power consumption through the power management system.
In addition, the electronic device 300 includes some functional modules that are not shown, and are not described in detail herein.
Preferably, an embodiment of the present invention further provides an electronic device, which includes a processor 310, a memory 309, and a computer program stored in the memory 309 and capable of running on the processor 310, where the computer program is executed by the processor 310 to implement each process of the above monitoring and warning method for a charging error code, and can achieve the same technical effect, and in order to avoid repetition, details are not described here again.
The embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements each process of the above monitoring and early warning method for a charging error code, and can achieve the same technical effect, and is not described herein again to avoid repetition. The computer-readable storage medium may be a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (10)
1. A monitoring and early warning method for a charging error code is characterized by comprising the following steps:
acquiring error codes in the charging error list according to the charging error list generated every day;
calculating a fluctuation value of the error code;
updating the weight scores of the error codes according to the comparison result of the fluctuation values and preset fluctuation values;
and monitoring and early warning the error code according to the updated weight score.
2. The method of claim 1, wherein calculating the fluctuation value of the error code comprises:
acquiring the historical error code quantity of the error codes;
and calculating the fluctuation value of the error codes according to the number of the error codes on the current day and the number of the historical error codes.
3. The method of claim 2, wherein the fluctuation value of the error code is calculated as follows:
wherein f (wp) is the fluctuation value of the error code; wpjThe number of error codes on the same day as the error codes; wp is the average number of error codes per month; μ is the number of days since the month; wpiThe number of error codes of the i-th error code of the month.
4. The method of claim 1, wherein updating the weight scores of the error codes according to the comparison of the fluctuation value with a preset fluctuation value comprises:
updating the weight fraction of the error code according to the following formula:
f(x)＝δ+f(c)
wherein f (x) is the updated weight score of the error code; delta is the historical weight fraction of error codes; f (c) is the fluctuation index score of the error code; a is the value of the volatility index fraction; f (wp) is the fluctuation value of the error code; b is a preset fluctuation value.
5. The method of claim 1, wherein the monitoring and warning of the error code according to the updated weight score comprises:
monitoring the error code according to the preset monitoring strength corresponding to the updated weight score;
and if the updated weight score is increased, sending out the risk early warning of the error code.
6. The utility model provides a monitoring and early warning device of charging error code which characterized in that includes:
the acquisition module is used for acquiring error codes in the billing error list according to the billing error list generated every day;
the computing module is used for computing the fluctuation value of the error code;
the updating module is used for updating the weight scores of the error codes according to the comparison result of the fluctuation values and preset fluctuation values;
and the monitoring and early warning module is used for monitoring and early warning the error codes according to the updated weight scores.
7. The apparatus of claim 6, wherein the computing module is configured to:
acquiring the historical error code quantity of the error codes;
and calculating the fluctuation value of the error codes according to the number of the error codes on the current day and the number of the historical error codes.
8. The apparatus of claim 6, wherein the monitoring and pre-warning module is configured to:
monitoring the error code according to the preset monitoring strength corresponding to the updated weight score;
and if the updated weight score is increased, sending out the risk early warning of the error code.
9. An electronic device, comprising: memory, processor and computer program stored on the memory and executable on the processor, which computer program, when executed by the processor, carries out the steps of the method according to any one of claims 1 to 5.
10. A computer-readable storage medium, comprising: the computer-readable storage medium has stored thereon a computer program which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 5.
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7280971B1 (en) * | 2000-06-09 | 2007-10-09 | At&T Bls Intellectual Property, Inc. | Method and system for server-based error processing in support of legacy-based usage and billing systems |
| CN101562529A (en) * | 2008-04-14 | 2009-10-21 | 华为技术有限公司 | Method and device for charging treatment |
| JP2012199843A (en) * | 2011-03-23 | 2012-10-18 | Nec Corp | Method and device for error correcting code control in data communication system |
| CN103167202A (en) * | 2011-12-19 | 2013-06-19 | 中国移动通信集团甘肃有限公司 | Method and device for auditing phone bills with different sources |
| CN105991298A (en) * | 2015-01-27 | 2016-10-05 | 中国移动通信集团黑龙江有限公司 | Method and apparatus for redoing call tickets |
| US20160306627A1 (en) * | 2015-04-14 | 2016-10-20 | International Business Machines Corporation | Determining errors and warnings corresponding to a source code revision |
| CN106878965A (en) * | 2015-12-14 | 2017-06-20 | 中国移动通信集团浙江有限公司 | A kind of method and apparatus for assessing mobile terminal performance |
| CN108123810A (en) * | 2016-11-28 | 2018-06-05 | 中国移动通信集团公司 | A kind of error bills processing method and processing device |
| CN110545557A (en) * | 2018-05-28 | 2019-12-06 | 中国移动通信集团设计院有限公司 | VoLTE problem analysis method and device, electronic equipment and storage medium |
-
2019
- 2019-12-23 CN CN201911335562.0A patent/CN113095517B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7280971B1 (en) * | 2000-06-09 | 2007-10-09 | At&T Bls Intellectual Property, Inc. | Method and system for server-based error processing in support of legacy-based usage and billing systems |
| CN101562529A (en) * | 2008-04-14 | 2009-10-21 | 华为技术有限公司 | Method and device for charging treatment |
| JP2012199843A (en) * | 2011-03-23 | 2012-10-18 | Nec Corp | Method and device for error correcting code control in data communication system |
| CN103167202A (en) * | 2011-12-19 | 2013-06-19 | 中国移动通信集团甘肃有限公司 | Method and device for auditing phone bills with different sources |
| CN105991298A (en) * | 2015-01-27 | 2016-10-05 | 中国移动通信集团黑龙江有限公司 | Method and apparatus for redoing call tickets |
| US20160306627A1 (en) * | 2015-04-14 | 2016-10-20 | International Business Machines Corporation | Determining errors and warnings corresponding to a source code revision |
| CN106878965A (en) * | 2015-12-14 | 2017-06-20 | 中国移动通信集团浙江有限公司 | A kind of method and apparatus for assessing mobile terminal performance |
| CN108123810A (en) * | 2016-11-28 | 2018-06-05 | 中国移动通信集团公司 | A kind of error bills processing method and processing device |
| CN110545557A (en) * | 2018-05-28 | 2019-12-06 | 中国移动通信集团设计院有限公司 | VoLTE problem analysis method and device, electronic equipment and storage medium |
Non-Patent Citations (6)
| Title |
|---|
| FAYEZEH GHAVIMI, 等: "M2M Communications in 3GPP LTE/LTE-A Networks: Architectures, Service Requirements, Challenges, and Applications", 《IEEE COMMUNICATIONS SURVEYS & TUTORIALS》, vol. 17, no. 2, pages 525 - 549, XP011582194, DOI: 10.1109/COMST.2014.2361626 * |
| YUAN-KAI CHEN, 等: "TOSS: Telecom Operation Support Systems for Broadband Services", 《JOURNAL OF INFORMATION PROCESSING SYSTEMS》, vol. 6, no. 1, pages 1 - 20 * |
| 冯义: "中国移动典型全网数据业务运营风险预警指标体系研究", 《中国优秀硕士学位论文全文数据库经济与管理科学辑》, no. 1, pages 155 - 56 * |
| 刘海燕: "宁夏电信计费综合结算系统数据处理模块的设计与实现", 《中国优秀硕士学位论文全文数据库信息科技辑》, no. 3, pages 138 - 4855 * |
| 周佳佳: "业务支撑系统话单稽核平衡性优化分析", 《信息系统工程》, no. 3, pages 124 - 125 * |
| 孙忠利: "构建计费准确性保障体系", 《电信技术》, no. 8, pages 37 - 40 * |
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