CN108259096B - Short message channel parameter configuration method and device - Google Patents
Short message channel parameter configuration method and device Download PDFInfo
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- CN108259096B CN108259096B CN201711249225.0A CN201711249225A CN108259096B CN 108259096 B CN108259096 B CN 108259096B CN 201711249225 A CN201711249225 A CN 201711249225A CN 108259096 B CN108259096 B CN 108259096B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/12—Messaging; Mailboxes; Announcements
- H04W4/14—Short messaging services, e.g. short message services [SMS] or unstructured supplementary service data [USSD]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/391—Modelling the propagation channel
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/08—Configuration management of networks or network elements
- H04L41/0876—Aspects of the degree of configuration automation
Abstract
The invention discloses a method and a device for configuring short message channel parameters. Wherein, the method comprises the following steps: acquiring characteristic data of a short message channel requesting to configure parameters; determining short message channel configuration parameters which are distributed for short message channels and correspond to the acquired characteristic data through an intelligent channel parameter configuration model, wherein the intelligent channel parameter configuration model is obtained through training of multiple groups of data, and each group of data comprises: the characteristic data of the short message channel and the configuration parameters of the short message channel corresponding to the characteristic data of the short message channel. The invention solves the technical problems of low efficiency and inaccurate configuration of short message channel parameters configured in a manual operation mode in the related technology.
Description
Technical Field
The invention relates to the field of communication, in particular to a method and a device for configuring short message channel parameters.
Background
The global information communication industry is receiving a new round of great change, new business models represented by mobile internet, cloud computing and big data are continuously enriched and prosperous, new business models are continuously emerging, and industry short messages are officially hugging the internet. With the wave of the outbreak of Online To Offline (O2O for short), Peer-To-Peer network (P2P for short), and mobile phone software (APP for short), the scene requirement of mobile payment and the requirement for information security, the APPlication range of the short message verification code is made To be wider. Meanwhile, in the mobile internet era, the mobile phone is a tool for everyone to communicate with the world, and the short message bears the mission of information transmission, so that the significance is unprecedented. The trigger short message applications such as website member mobile phone verification, APP application mobile phone verification, order notification, logistics reminding, bank account amount change reminding, member notification and the like are all assisted by verification of short messages. Due to the factors of customer difference and application environment diversification, the requirements on the stability and the pressure resistance of the industry short message channel are stronger and stronger.
However, in the related art, the short message channel parameter configuration mainly depends on a manual operation mode, the processing mode is single, and for the abnormal condition of the parameter, the timeliness of the manual operation after the system detection cannot be guaranteed, which may cause channel delay; for the situation of many channels, manual configuration needs to be performed respectively, and once the configuration is not timely or wrong, a channel fault is caused, service operation and user experience are seriously affected, and service development is affected at the same time.
Therefore, in the related art, the short message channel parameters are configured in a manual operation mode, so that the efficiency is low, and the configuration is not accurate.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
The embodiment of the invention provides a short message channel parameter configuration method and a short message channel parameter configuration device, which are used for at least solving the technical problems of low efficiency and inaccurate configuration of short message channel parameters configured in a manual operation mode in the related technology.
According to an aspect of the embodiments of the present invention, a method for configuring short message channel parameters is provided, including: acquiring characteristic data of a short message channel requesting to configure parameters; determining short message channel configuration parameters which are distributed to the short message channels and correspond to the acquired feature data through an intelligent channel parameter configuration model, wherein the intelligent channel parameter configuration model is obtained through training of multiple groups of data, and each group of data comprises: the short message channel configuration method comprises the characteristic data of a short message channel and the configuration parameters of the short message channel corresponding to the characteristic data of the short message channel.
Optionally, before determining, by the intelligent channel parameter configuration model, the short message channel configuration parameter allocated to the short message channel corresponding to the acquired feature data, the method further includes: sampling feature data of a plurality of short message channels with the same service types of services corresponding to the short message channels, and historical configuration parameters of the plurality of short message channels corresponding to the sampled feature data of the plurality of short message channels in a preset historical time period; and training the sampled characteristic data of the plurality of short message channels and corresponding historical configuration parameters to obtain the intelligent channel parameter configuration model.
Optionally, after training the sampled feature data of the plurality of short message channels and the corresponding historical configuration parameters to obtain the intelligent channel parameter configuration model, the method further includes: and optimizing the intelligent channel parameter configuration model according to the feature data of the short message channel acquired in real time and the short message channel configuration parameters corresponding to the feature data of the short message channel acquired in real time.
Optionally, after determining, by the intelligent channel parameter configuration model, the short message channel configuration parameter allocated to the short message channel corresponding to the acquired feature data, the method further includes: verifying the distributed short message channel configuration parameters according to preset verification conditions, wherein the verification conditions are used for verifying the integrity and optimization of the short message channel configuration parameters; and under the condition that the verification result passes, carrying out short message service according to the allocated short message channel configuration parameters.
Optionally, after performing the short message service according to the allocated short message channel configuration parameter, the method further includes: detecting the short message channel for carrying out short message service to obtain short message channel detection parameters; comparing the obtained short message channel detection parameters with the distributed short message channel configuration parameters to obtain comparison difference values; and under the condition that the obtained comparison difference value exceeds a preset threshold value, distributing short message channel configuration parameters for the short message channel by the intelligent channel parameter configuration model again.
Optionally, the time interval for detecting the short message channel for performing the short message service is 10 minutes, and the predetermined threshold is 5%.
According to another aspect of the present invention, there is provided a short message channel parameter configuration apparatus, including: the acquisition module is used for acquiring the characteristic data of the short message channel requesting the configuration parameters; the determining module is used for determining short message channel configuration parameters which are distributed to the short message channels and correspond to the acquired feature data through an intelligent channel parameter configuration model, wherein the intelligent channel parameter configuration model is obtained through training of multiple groups of data, and each group of data comprises: the short message channel configuration method comprises the characteristic data of a short message channel and the configuration parameters of the short message channel corresponding to the characteristic data of the short message channel.
Optionally, the apparatus further comprises: the sampling module is used for sampling the characteristic data of a plurality of short message channels with the same service types of the services corresponding to the short message channels and the historical configuration parameters of the plurality of short message channels in a preset historical time period corresponding to the sampled characteristic data of the plurality of short message channels; and the training module is used for training the sampled characteristic data of the plurality of short message channels and the corresponding historical configuration parameters to obtain the intelligent channel parameter configuration model.
Optionally, the apparatus further comprises: and the optimization module is used for optimizing the intelligent channel parameter configuration model according to the feature data of the short message channel acquired in real time and the short message channel configuration parameters corresponding to the feature data of the short message channel acquired in real time.
Optionally, the apparatus further comprises: the verification module is used for verifying the allocated short message channel configuration parameters according to preset verification conditions, wherein the verification conditions are used for verifying the integrity and optimization of the short message channel configuration parameters; and the processing module is used for carrying out short message service according to the allocated short message channel configuration parameters under the condition that the verification result passes.
Optionally, the apparatus further comprises: the detection module is used for detecting the short message channel for carrying out the short message service to obtain a short message channel detection parameter; the comparison module is used for comparing the obtained short message channel detection parameters with the distributed short message channel configuration parameters to obtain comparison difference values; and the distribution module is used for distributing the short message channel configuration parameters for the short message channel by the intelligent channel parameter configuration model again under the condition that the obtained comparison difference value exceeds a preset threshold value.
In the embodiment of the invention, a mode of determining the short message channel configuration parameters which are allocated to the short message channel and correspond to the acquired feature data through an intelligent channel parameter configuration model is adopted, and parameter configuration is carried out on the short message channel through the intelligent channel parameter configuration model trained by an artificial intelligent neural network, so that the purpose of intelligently configuring the short message channel parameters is achieved, the technical effect of rapidly, efficiently and accurately allocating the short message channel configuration parameters is realized, and the technical problems that in the related technology, the short message channel parameters are configured in a manual operation mode, the efficiency is low and the configuration is inaccurate are 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 application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
fig. 1 is a flowchart of a short message channel parameter configuration method according to an embodiment of the present invention;
fig. 2 is a block diagram of a short message channel parameter configuration device according to an embodiment of the present invention;
fig. 3 is a block diagram of a preferred structure of a short message channel parameter configuration device according to an embodiment of the present invention;
fig. 4 is a block diagram of a preferred structure of a short message channel parameter configuration device according to an embodiment of the present invention;
fig. 5 is a block diagram of a preferred structure of a short message channel parameter configuration device according to an embodiment of the present invention;
fig. 6 is a block diagram of a preferred structure of a short message channel parameter configuration device according to an embodiment of the present invention;
FIG. 7 is a flow chart of a short message channel configuration parameter distribution method according to a preferred embodiment of the present invention;
FIG. 8 is a schematic diagram of a convolutional neural network, according to an embodiment of the present invention;
fig. 9 is a flowchart of optimization of short message channel configuration parameters during online operation of the short message channel according to the embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, 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 only a part of the embodiments of the present invention, and not all of the embodiments. 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.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be noted that, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be performed in an order different from that shown or described herein.
Fig. 1 is a flowchart of a short message channel parameter configuration method according to an embodiment of the present invention, as shown in fig. 1, the method includes the following steps:
step S102, obtaining feature data of a short message channel requesting configuration parameters, wherein the feature data may be some data used for identifying features of the short message channel, for example, the feature data may be a service provider type of the short message channel, a service quality requirement of the short message channel, state data of the short message channel (for example, identification data used for identifying whether the short message channel is normal or not), abnormal data of the short message channel occurring abnormity (for example, error reporting data which does not determine the reason of the abnormity yet), fault data used for identifying faults of the short message channel, server network monitoring data used for monitoring a server network, and the like;
step S104, determining short message channel configuration parameters which are distributed for short message channels and correspond to the acquired feature data through an intelligent channel parameter configuration model, wherein the intelligent channel parameter configuration model is obtained through training of multiple groups of data, and each group of data comprises: the characteristic data of the short message channel and the configuration parameters of the short message channel corresponding to the characteristic data of the short message channel.
Through the steps, the short message channel configuration parameters distributed for the short message channel corresponding to the acquired characteristic data are determined through the intelligent channel parameter configuration model, the short message channel is configured through the intelligent channel parameter configuration model trained through the artificial intelligent neural network, and the purpose of intelligently configuring the short message channel parameters is achieved, so that the technical effect of quickly, efficiently and accurately distributing the short message channel configuration parameters is achieved, and the technical problems that in the related technology, the short message channel parameters are configured in a manual operation mode, the efficiency is low, and the configuration is inaccurate are solved.
Optionally, before determining the short message channel configuration parameters allocated to the short message channel corresponding to the acquired feature data through the intelligent channel parameter configuration model, in order to make the used intelligent channel parameter configuration model more suitable for the short message channel to be configured with the parameters, when sampling data for training the intelligent channel parameter configuration model, selecting some feature data of the short message channel with the same service type as that of the short message channel for training, for example, feature data of a plurality of short message channels with the same service type as that of a service corresponding to the short message channel and historical configuration parameters of the plurality of short message channels in a preset historical time period corresponding to the sampled feature data of the plurality of short message channels may be sampled; and training the sampled characteristic data of the plurality of short message channels and the corresponding historical configuration parameters to obtain an intelligent channel parameter configuration model. It should be noted that, according to different selected sampling data, the models can be divided into models of different types, and parameters are allocated to the short message channels corresponding to the models according to the types of the models, so that the allocated parameters are more accurate, and the allocation efficiency and the allocation accuracy are effectively improved to a certain extent.
In order to make the applicability of the intelligent channel parameter configuration model higher in real-time performance, the intelligent channel parameter configuration model can be optimized according to the feature data of the short message channels collected in real time and the short message channel configuration parameters corresponding to the feature data of the short message channels collected in real time after the feature data of the plurality of short message channels sampled and the corresponding historical configuration parameters are trained to obtain the intelligent channel parameter configuration model. Through the processing, the intelligent channel parameter configuration model is the latest model version, and therefore the trained short message channel configuration parameters have extremely high real-time performance.
In order to enable the allocated short message channel configuration parameters to be truly used for short message service and ensure the availability of the short message channel configuration parameters, the allocated short message channel configuration parameters can be verified according to preset verification conditions after the short message channel configuration parameters allocated for the short message channel corresponding to the acquired feature data are determined through an intelligent channel parameter configuration model, wherein the verification conditions are used for verifying the integrity and optimization of the short message channel configuration parameters; and under the condition that the verification result passes, carrying out short message service according to the allocated short message channel configuration parameters. Through the processing, the short message channel configuration parameters really used for the short message service are safe and reliable.
In order to perform short message service by adopting the short message channel configuration parameters determined by the intelligent channel parameter configuration model within a period of time, the short message channel for performing the short message service can be detected after the short message service is performed according to the allocated short message channel configuration parameters, so as to obtain short message channel detection parameters; comparing the obtained short message channel detection parameters with the distributed short message channel configuration parameters to obtain comparison difference values; and distributing the short message channel configuration parameters for the short message channel by the intelligent channel parameter configuration model again under the condition that the obtained comparison difference value exceeds a preset threshold value. By adopting the processing mode of the comparison, the proper parameters of the short message channel are continuously adjusted, and the short message service can be normally processed by the short message channel within a period of time.
The time interval for detecting the short message channel for performing the short message service may be flexibly set according to specific needs, for example, may be set to 10 minutes, and the predetermined threshold may also be flexibly adjusted according to the accuracy requirement, for example, the predetermined threshold may be set to 5%.
It should be noted that the above embodiments and preferred embodiments can be flexibly combined according to specific implementation effects. The number of combinations is not limited to a specific number, and for example, two examples or a combination between preferred embodiments, three or more examples, or the like may be used.
In an embodiment of the present invention, a short message channel parameter configuration device is further provided, and fig. 2 is a block diagram of a structure of the short message channel parameter configuration device according to the embodiment of the present invention, as shown in fig. 2, the device includes: an acquisition module 22 and a determination module 24, which are explained below.
The obtaining module 22 is configured to obtain feature data of a short message channel requesting configuration parameters; a determining module 24, connected to the obtaining module 22, configured to determine, through an intelligent channel parameter configuration model, a short message channel configuration parameter allocated to the short message channel corresponding to the obtained feature data, where the intelligent channel parameter configuration model is obtained through training of multiple sets of data, and each set of data includes: the characteristic data of the short message channel and the configuration parameters of the short message channel corresponding to the characteristic data of the short message channel.
Fig. 3 is a block diagram of a preferred structure of a short message channel parameter configuration device according to an embodiment of the present invention, and as shown in fig. 3, the device includes a sampling module 32 and a training module 34 in addition to all the structures shown in fig. 2, and the device is explained below.
The sampling module 32 is configured to sample feature data of a plurality of short message channels corresponding to the short message channels and having the same service type of service, and historical configuration parameters of the plurality of short message channels corresponding to the sampled feature data of the plurality of short message channels in a predetermined historical time period; and the training module 34 is connected to the sampling module 32 and the determining module 24, and is configured to train the sampled feature data of the plurality of short message channels and the corresponding historical configuration parameters to obtain an intelligent channel parameter configuration model.
Fig. 4 is a block diagram of a preferred structure of a short message channel parameter configuration device according to an embodiment of the present invention, and as shown in fig. 4, the device includes, in addition to all the structures shown in fig. 3: an optimization module 42, which is described below.
And the optimizing module 42 is connected to the training module 34, and is configured to optimize the intelligent channel parameter configuration model according to the feature data of the short message channel collected in real time and the short message channel configuration parameter corresponding to the feature data of the short message channel collected in real time.
Fig. 5 is a block diagram of a preferred structure of a short message channel parameter configuration device according to an embodiment of the present invention, and as shown in fig. 5, the device includes, in addition to all the structures shown in fig. 2: a verification module 52 and a processing module 54, which will be described below.
A checking module 52, connected to the determining module 24, for checking the allocated short message channel configuration parameters according to preset checking conditions, wherein the checking conditions are used for checking the integrity and optimization of the short message channel configuration parameters; and a processing module 54, connected to the checking module 52, for performing a short message service according to the allocated short message channel configuration parameters when the checking result passes.
Fig. 6 is a block diagram of a preferred structure of a short message channel parameter configuration device according to an embodiment of the present invention, and as shown in fig. 6, the device includes, in addition to all the structures shown in fig. 5: a detection module 62, a comparison module 64, and a distribution module 66, which are described below.
A detection module 62, connected to the processing module 54, for detecting a short message channel for performing a short message service to obtain a short message channel detection parameter; a comparison module 64, connected to the detection module 62, for comparing the obtained short message channel detection parameters with the allocated short message channel configuration parameters to obtain a comparison difference; and the distribution module 66 is connected to the comparison module 64 and is used for distributing the short message channel configuration parameters to the short message channel again through the intelligent channel parameter configuration model under the condition that the obtained comparison difference value exceeds the preset threshold value.
The time interval for detecting the short message channel for performing the short message service may be 10 minutes, and the predetermined threshold may be 5%.
With the rapid development of science and technology in the computer field, artificial intelligence, which is the top science and technology since the 20 th century and the 70 th era, has become the popular field of science and technology research, and the basis of artificial intelligence lies in deep learning. Deep learning has brought great potential into various industries, some technical problems are solved, and a plurality of enterprises are helped to get rid of the dilemma. Based on the more advantages of deep learning, in the embodiment of the present invention, a method is provided for solving the problem of channel parameter configuration based on deep learning. The method for realizing intelligent short message channel configuration based on deep learning has the following advantages: (1) the channel parameter configuration is optimized in a full-automatic mode, the workload of manual participation is effectively reduced, and the labor cost is reduced. (2) And by utilizing the machine learning neural network, parameters are configured and optimized more accurately. (3) Configuration optimization is timely, short message channel faults are reduced to the maximum extent, configuration parameters are optimized in a timing mode, and adjustment is timely carried out, so that the channel can keep the maximum swallowing capacity and the maximum health state constantly.
The present invention will be described in detail with reference to preferred embodiments below:
fig. 7 is a flowchart of a short message channel configuration parameter allocation method according to a preferred embodiment of the present invention, as shown in fig. 7, the flowchart includes the following steps:
step S702: the characteristic data of the short message channel of the service platform is collected at regular time, and for example, the characteristic data may include at least one of the following: the service provider type of the short message channel, the service quality level of the short message channel, status data of the short message channel (for example, identification data for identifying whether the short message channel is normal or not), abnormal data of the short message channel occurring abnormity (for example, error reporting data for not determining the reason of abnormity yet), fault data for identifying the fault of the short message channel, and server network monitoring data for monitoring the server network. It should be noted that the characteristic data collected at regular time may be historical data before a period of time, for example, data collected the previous day to which the short message channel configuration parameter is assigned, data collected the previous week, data collected the previous month, and the like.
Step S704: the method comprises the steps of carrying out big data characteristic analysis by utilizing a deep learning technology, establishing a convolutional neural network, and synchronously improving the neural network on the acquired data in real time to form an intelligent channel parameter configuration model, wherein when the convolutional neural network is established to train the acquired data, a characteristic library index can be used as an input neuron, and is output as a short message channel configuration parameter, so that the intelligent channel parameter configuration model is formed. Fig. 8 is a schematic diagram of a convolutional neural network according to an embodiment of the present invention, and as shown in fig. 8, it should be noted that the characteristic library index refers to characteristic data of a short message channel collected in the historical time period;
step S706: the newly applied short message channel is not configured with channel parameters, so that the integrity condition and the optimized judgment basis of the short message channel configuration parameters need to be preset;
step S708: the service platform requests a new short message channel configuration parameter from the intelligent channel parameter configuration model;
step S710: the service platform distributes short message channel configuration parameters and sets the channel state to be open;
step S712: the service platform checks the short message channel configuration parameters output by the intelligent parameter configuration model according to the optimization judgment basis and the integrity condition, and executes the step S714 under the condition that the checking is passed; otherwise, go to step S716;
step S714, configuring the short message channel configuration parameter to the short message service platform, checking the passing short message channel configuration to the short message service platform, and using the normal service;
step S716, re-request the configuration of the short message channel configuration parameters until the verification is passed.
Alternatively, in a preferred embodiment of the present invention, a timer may be set, for example, every 10 minutes. Fig. 9 is a flowchart of short message channel configuration parameter optimization during online operation of a short message channel according to an embodiment of the present invention, and as shown in fig. 9, the flowchart includes the following steps:
step S902, obtaining a detection parameter obtained after detecting a short message channel for executing the short message service;
step S904, judge whether the error between short message channel configuration parameter that the detection parameter obtained and intelligent channel parameter configuration model returns is in the predetermined range, for example, carry out the channel health status detection every 10 minutes to the short message channel running on the line, compare with short message channel configuration parameter that the intelligent channel parameter configuration model outputs, obtain the comparison result;
step S906, if the comparison result is within the predetermined range, the execution is ended, and when the next 10 minutes arrives, the step S902 is repeatedly started, otherwise, the step S908 is executed;
step S908, requesting to allocate the short message channel configuration parameter to the intelligent channel parameter configuration model again, that is, if the error between the detected parameter and the short message channel configuration parameter returned by the intelligent channel parameter configuration model exceeds 5% by comparison, requesting to allocate the short message channel configuration parameter to the intelligent channel parameter configuration model again, performing secondary verification according to the previously set optimization judgment basis and the integrity condition, passing the verification, automatically adjusting the parameter, and ensuring the healthy transmission of the channel.
Wherein, the secondary verification process is as follows: the service platform firstly acquires the integrity condition and the optimization judgment basis of each short message channel, then requests the intelligent parameter configuration model for short message channel configuration parameters, verifies the configuration parameters output by the intelligent parameter configuration model according to the optimization judgment basis and the integrity condition, and allocates the short message channel configuration parameters to the short message service platform if the verification is passed, or allocates the short message channel configuration parameters if the verification is not passed. And configuring the short message channel passing the verification to a short message platform to use the normal service.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, a division of a unit may be a division of a logic function, and an actual implementation may have another division, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or may not be executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (7)
1. A method for configuring short message channel parameters is characterized by comprising the following steps:
acquiring characteristic data of a short message channel requesting to configure parameters;
determining short message channel configuration parameters which are distributed to the short message channels and correspond to the acquired feature data through an intelligent channel parameter configuration model, wherein the intelligent channel parameter configuration model is obtained through training of multiple groups of data, and each group of data comprises: the short message channel configuration method comprises the following steps of (1) feature data of a short message channel and configuration parameters of the short message channel corresponding to the feature data of the short message channel;
after determining the short message channel configuration parameters distributed to the short message channel corresponding to the acquired feature data through the intelligent channel parameter configuration model, the method further includes: verifying the distributed short message channel configuration parameters according to preset verification conditions, wherein the verification conditions are used for verifying the integrity and optimization of the short message channel configuration parameters; under the condition that the verification result passes, carrying out short message service according to the allocated short message channel configuration parameters;
after the short message service is performed according to the allocated short message channel configuration parameters, the method further includes: detecting the short message channel for carrying out short message service to obtain short message channel detection parameters; comparing the obtained short message channel detection parameters with the distributed short message channel configuration parameters to obtain comparison difference values; and under the condition that the obtained comparison difference value exceeds a preset threshold value, distributing short message channel configuration parameters for the short message channel by the intelligent channel parameter configuration model again.
2. The method of claim 1, wherein before determining the short message channel configuration parameter allocated to the short message channel corresponding to the acquired feature data through the intelligent channel parameter configuration model, the method further comprises:
sampling feature data of a plurality of short message channels with the same service types of services corresponding to the short message channels, and historical configuration parameters of the plurality of short message channels corresponding to the sampled feature data of the plurality of short message channels in a preset historical time period;
and training the sampled characteristic data of the plurality of short message channels and corresponding historical configuration parameters to obtain the intelligent channel parameter configuration model.
3. The method of claim 2, wherein after training the sampled feature data of the plurality of short message channels and the corresponding historical configuration parameters to obtain the intelligent channel parameter configuration model, the method further comprises:
and optimizing the intelligent channel parameter configuration model according to the feature data of the short message channel acquired in real time and the short message channel configuration parameters corresponding to the feature data of the short message channel acquired in real time.
4. The method of claim 1, wherein the time interval for detecting the short message channel for short message service is 10 minutes, and the predetermined threshold is 5%.
5. A short message channel parameter configuration device is characterized by comprising:
the acquisition module is used for acquiring the characteristic data of the short message channel requesting the configuration parameters;
the determining module is used for determining short message channel configuration parameters which are distributed to the short message channels and correspond to the acquired feature data through an intelligent channel parameter configuration model, wherein the intelligent channel parameter configuration model is obtained through training of multiple groups of data, and each group of data comprises: the short message channel configuration method comprises the following steps of (1) feature data of a short message channel and configuration parameters of the short message channel corresponding to the feature data of the short message channel;
wherein the apparatus further comprises: the verification module is used for verifying the allocated short message channel configuration parameters according to preset verification conditions, wherein the verification conditions are used for verifying the integrity and optimization of the short message channel configuration parameters; the processing module is used for carrying out short message service according to the allocated short message channel configuration parameters under the condition that the verification result passes;
wherein the apparatus further comprises: the detection module is used for detecting the short message channel for carrying out the short message service to obtain a short message channel detection parameter; the comparison module is used for comparing the obtained short message channel detection parameters with the distributed short message channel configuration parameters to obtain comparison difference values; and the distribution module is used for distributing the short message channel configuration parameters for the short message channel by the intelligent channel parameter configuration model again under the condition that the obtained comparison difference value exceeds a preset threshold value.
6. The apparatus of claim 5, further comprising:
the sampling module is used for sampling the characteristic data of a plurality of short message channels with the same service types of the services corresponding to the short message channels and the historical configuration parameters of the plurality of short message channels in a preset historical time period corresponding to the sampled characteristic data of the plurality of short message channels;
and the training module is used for training the sampled characteristic data of the plurality of short message channels and the corresponding historical configuration parameters to obtain the intelligent channel parameter configuration model.
7. The apparatus of claim 6, further comprising:
and the optimization module is used for optimizing the intelligent channel parameter configuration model according to the feature data of the short message channel acquired in real time and the short message channel configuration parameters corresponding to the feature data of the short message channel acquired in real time.
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