CN117082462B - Health monitoring system of short message platform - Google Patents
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Abstract
The invention discloses a health monitoring system of a short message platform, which relates to the technical field of health monitoring and comprises a state information monitoring module, an output information analysis module, a network information analysis module, a platform operation monitoring module, a platform health analysis module, an early warning terminal and a database.
Description
Technical Field
The invention relates to the technical field of health monitoring, in particular to a short message platform health monitoring system.
Background
Along with the wide popularization of mobile phone use, health monitoring of a short message platform is more important, abnormal conditions or faults in the operation of the short message platform can be timely found through real-time monitoring of all aspects of the short message platform, the problems can be timely and rapidly positioned, measures can be taken, potential loss and influence are reduced, success rate of short message sending is improved, satisfaction degree of users on the platform is improved, stability and high efficiency of healthy operation of the short message platform are better guaranteed, and operation efficiency and response speed are improved.
The current health monitoring of the short message platform is mainly carried out in a manual mode, the manual monitoring mode lacks of effectiveness and comprehensiveness, the efficiency of the health monitoring of the short message platform cannot be effectively improved, meanwhile, comprehensive information of the health of the short message platform cannot be obtained deeply, so that problems can not be found timely and solved, a certain operation influence can be caused on the short message platform, a large amount of manpower and time can be consumed, the burden of manual monitoring can be increased, the experience of a user on the short message platform can be reduced, and the health guarantee and the high-efficiency operation efficiency of the short message platform can be reduced.
Disclosure of Invention
Aiming at the technical defects, the invention aims to provide a short message platform health monitoring system.
In order to solve the technical problems, the invention adopts the following technical scheme: the invention provides a health monitoring system of a short message platform, which comprises the following components: the state information monitoring module is used for monitoring state information of the short messages sent by the target short message platform at each time point, wherein the state information comprises the number of the short messages which are successfully sent, the number of the short messages which are failed to be sent and the number of the short messages to be sent, and further, the state evaluation coefficients corresponding to the target short message platform at each time point are obtained through analysis;
the output information analysis module is used for acquiring output information of the target short message platform at each time point, wherein the output information comprises short message sending speed and read times of a user, further analyzing and obtaining output success evaluation coefficients corresponding to the target short message platform at each time point, analyzing and obtaining timeliness evaluation coefficients corresponding to the target short message platform according to state evaluation coefficients corresponding to the target short message platform at each time point, and further judging timeliness of the target short message platform according to the timeliness evaluation coefficients corresponding to the target short message platform;
The network information analysis module is used for acquiring network information of the target short message platform at each time point, wherein the network information comprises network bandwidth and network rate, and further analyzing and obtaining network evaluation coefficients corresponding to the target short message platform at each time point;
The platform operation monitoring module is used for acquiring load information of the target short message platform at each time point, wherein the load information comprises the concurrent connection quantity and the connection blocking duration, further analyzing and obtaining a load evaluation coefficient corresponding to the target short message platform at each time point, analyzing and obtaining a stability evaluation coefficient corresponding to the target short message platform according to a network evaluation coefficient corresponding to the target short message platform at each time point, and further judging the stability of the target short message platform according to the stability evaluation coefficient corresponding to the target short message platform;
The platform health analysis module is used for analyzing and obtaining a health evaluation coefficient corresponding to the target short message platform according to the timeliness evaluation coefficient and the stability evaluation coefficient corresponding to the target short message platform, and judging the health state corresponding to the target short message platform through the health evaluation coefficient corresponding to the target short message platform;
and the early warning terminal is used for carrying out early warning prompt when the health state corresponding to the target short message platform is abnormal.
Preferably, the analysis obtains state evaluation coefficients corresponding to the target short message platform at each time point, and the specific analysis process is as follows: by calculation formula
Analyzing to obtain a state evaluation coefficient beta i corresponding to each time point target short message platform, wherein i represents the number of each time point, i=1.2..n, alpha 1、α2、α3 represents the set number of short messages which are successfully transmitted, the number of short messages which are failed to transmit and the weight factor of the number of short messages to be transmitted respectively, χ ' represents the set number of short messages which are successfully transmitted, δ ' represents the set number of short messages which are failed to transmit, φ ' represents the set number of short messages to be transmitted, χ i represents the number of short messages which are successfully transmitted and correspond to the i time point target short message platform, δ i represents the number of short messages which are failed to transmit and correspond to the i time point target short message platform, and φ i represents the number of short messages to be transmitted and correspond to the i time point target short message platform.
Preferably, the analysis obtains the output success evaluation coefficient corresponding to the target short message platform at each time point, and the specific analysis process is as follows: by calculation formulaAnalyzing to obtain the output success evaluation coefficient/>, corresponding to the target short message platform at each time pointI represents the number of each time point, i=1.2..n, epsilon 1、ε2 is respectively expressed as a set short message sending speed and a weight factor of the read times of a user, gamma 'is expressed as a set short message sending speed, η' represents the set number of times the user has read, γ i represents the short message sending speed corresponding to the i-th time point target short message platform, and η i represents the number of times the user corresponding to the i-th time point target short message platform has read.
Preferably, the analyzing obtains a timeliness evaluation coefficient corresponding to the target short message platform, and judges timeliness of the target short message platform, and the specific analyzing process is as follows: by calculation formulaAnalyzing to obtain a timeliness evaluation coefficient lambda, i corresponding to the target short message platform, wherein i represents the number of each time point, i=1.2. V 1、ν2 is respectively expressed as a state evaluation coefficient corresponding to the target short message platform and a weight factor for outputting a success evaluation coefficient, and beta i is expressed as a state evaluation coefficient corresponding to the target short message platform at the ith time point,/>The output success evaluation coefficient corresponding to the target short message platform at the ith time point is expressed;
Comparing the timeliness evaluation coefficient threshold corresponding to the target short message platform with the timeliness evaluation coefficient threshold stored in the database, if the timeliness evaluation coefficient threshold corresponding to the target short message platform is smaller than the timeliness evaluation coefficient threshold stored in the database, judging that the target short message platform is not timely, and if the timeliness evaluation coefficient threshold corresponding to the target short message platform is larger than or equal to the timeliness evaluation coefficient threshold stored in the database, judging that the target short message platform is timely.
Preferably, the analyzing obtains a network evaluation coefficient corresponding to the target short message platform at each time point, and the specific analyzing process is as follows: by calculation formulaAnalyzing to obtain a network evaluation coefficient mu i corresponding to the target short message platform at each time point, wherein i represents the number of each time point, i=1.2..n, and kappa 1、κ2 are respectively represented as set weight factors of network bandwidth and network rate, and are respectively represented as a weight factor of a/>Expressed as a set network bandwidth, θ' expressed as a set network rate,/>And the network bandwidth corresponding to the target short message platform at the ith time point is represented, and the theta i is represented as the network rate corresponding to the target short message platform at the ith time point.
Preferably, the analysis obtains the load evaluation coefficients corresponding to the target short message platforms at each time point, and the specific analysis process is as follows: by calculation formulaAnalyzing to obtain load evaluation coefficients/>, corresponding to target short message platforms at all time pointsI represents the number of each time point, i=1.2..n, ρ 1、ρ2 is expressed as a weight factor for the set number of concurrent connections, connection blocking duration, respectively,/>Expressed as the set number of concurrent connections, τ' expressed as the set connection blocking duration,/>And tau i represents the connection blocking duration corresponding to the target short message platform at the ith time point.
Preferably, the analysis obtains a stability evaluation coefficient corresponding to the target short message platform, and judges the stability of the target short message platform, and the specific analysis process is as follows: by calculation formulaAnalyzing to obtain a stability evaluation coefficient omega corresponding to the target short message platform, wherein i represents the number of each time point, i=1.2..n, sigma 1、σ2 is respectively represented as a network evaluation coefficient corresponding to the target short message platform and a weight factor of a load evaluation coefficient, mu i is represented as a network evaluation coefficient corresponding to the target short message platform at the ith time point, and/>The load evaluation coefficient corresponding to the target short message platform at the ith time point is represented;
Comparing the stability evaluation coefficient threshold corresponding to the target short message platform with the stability evaluation coefficient threshold stored in the database, if the stability evaluation coefficient threshold corresponding to the target short message platform is smaller than the stability evaluation coefficient threshold stored in the database, judging that the target short message platform is unstable, and if the stability evaluation coefficient threshold corresponding to the target short message platform is larger than or equal to the stability evaluation coefficient threshold stored in the database, judging that the target short message platform is stable.
Preferably, the analyzing obtains a health evaluation coefficient corresponding to the target short message platform, and the specific analyzing process is as follows: and analyzing to obtain health evaluation coefficients xi, z 1、z2 corresponding to the target short message platform through a calculation formula xi=z 1*ω+z2 x lambda, wherein z 1、z2 is respectively expressed as a timeliness evaluation coefficient and a weight factor of a stability evaluation coefficient corresponding to the target short message platform, omega is expressed as a stability evaluation coefficient corresponding to the target short message platform, and lambda is expressed as a timeliness evaluation coefficient corresponding to the target short message platform.
Preferably, the specific judging process of the health state corresponding to the judging target short message platform is as follows: comparing the health evaluation coefficient threshold corresponding to the target short message platform with the health evaluation coefficient threshold stored in the database, if the health evaluation coefficient threshold corresponding to the target short message platform is smaller than the health evaluation coefficient threshold stored in the database, judging that the health of the target short message platform is abnormal, and if the health evaluation coefficient threshold corresponding to the target short message platform is larger than or equal to the health evaluation coefficient threshold stored in the database, judging that the state of the target short message platform is healthy.
Preferably, the method comprises the step of storing state information, output information, network information, load information, timeliness assessment coefficient threshold values, stability assessment coefficient threshold values and health assessment coefficient threshold values in a database.
Compared with the prior art, the invention has the beneficial effects that: the invention provides a health monitoring system of a short message platform, which obtains a state evaluation coefficient corresponding to the target short message platform through obtaining the state information of the target short message platform, further obtains the output information of the target short message platform, further obtains an output success evaluation coefficient corresponding to the target short message platform through analysis, adds the state evaluation coefficient corresponding to the target short message platform and the output success evaluation coefficient, further obtains a timeliness evaluation coefficient corresponding to the target short message platform through analysis, judges the timeliness of the target short message platform, obtains a network evaluation coefficient corresponding to the target short message platform through obtaining the network information of the target short message platform, further obtains the load information of the target short message platform and further obtains the load evaluation coefficient corresponding to the target short message platform through analysis, and the network evaluation coefficients and the load evaluation coefficients corresponding to the target short message platform are added, the stability evaluation coefficients corresponding to the target short message platform are obtained through analysis, and the stability of the target short message platform is judged, so that the health evaluation coefficients corresponding to the target short message platform are obtained through analysis according to the timeliness evaluation coefficients and the stability evaluation coefficients corresponding to the target short message platform, and the health state corresponding to the target short message platform is judged, so that the health operation condition of the short message platform is better monitored, the operation effectiveness of the short message platform is better ensured, the health problem of the short message platform is conveniently and timely solved, the load of manual monitoring is reduced, the operation and transmission efficiency of the short message platform is improved, and the service quality and intelligent operation of the short message platform are improved.
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In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of the system structure of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, a short message platform health monitoring system includes a status information monitoring module, an output information analysis module, a network information analysis module, a platform operation monitoring module, a platform health analysis module, an early warning terminal and a database.
The system comprises a state information monitoring module, a network information analysis module, a platform operation monitoring module, a platform health analysis module and an early warning terminal, wherein the state information monitoring module is connected with the output information analysis module and the output information analysis module respectively, the network information analysis module is connected with the platform operation monitoring module and the platform health analysis module respectively, and the platform health analysis module is connected with the early warning terminal and the database respectively.
The state information monitoring module is used for monitoring state information of the short messages sent by the target short message platform at each time point, wherein the state information comprises the number of the short messages which are successfully sent, the number of the short messages which are failed to be sent and the number of the short messages to be sent, and further, the state evaluation coefficients corresponding to the target short message platform at each time point are obtained through analysis;
It should be noted that the status information may be obtained from a control center of the sms platform.
As an optional implementation manner, the analysis obtains the state evaluation coefficients corresponding to the target short message platforms at each time point, and the specific analysis process is as follows: by calculation formulaAnalyzing to obtain a state evaluation coefficient beta i corresponding to each time point target short message platform, wherein i represents the number of each time point, i=1.2..n, alpha 1、α2、α3 represents the set number of short messages which are successfully transmitted, the number of short messages which are failed to transmit and the weight factor of the number of short messages to be transmitted respectively, χ ' represents the set number of short messages which are successfully transmitted, δ ' represents the set number of short messages which are failed to transmit, φ ' represents the set number of short messages to be transmitted, χ i represents the number of short messages which are successfully transmitted and correspond to the i time point target short message platform, δ i represents the number of short messages which are failed to transmit and correspond to the i time point target short message platform, and φ i represents the number of short messages to be transmitted and correspond to the i time point target short message platform.
The output information analysis module is used for acquiring output information of the target short message platform at each time point, wherein the output information comprises short message sending speed and read times of a user, further analyzing and obtaining output success evaluation coefficients corresponding to the target short message platform at each time point, analyzing and obtaining timeliness evaluation coefficients corresponding to the target short message platform according to state evaluation coefficients corresponding to the target short message platform at each time point, and further judging timeliness of the target short message platform according to the timeliness evaluation coefficients corresponding to the target short message platform;
It should be noted that, the short message sending speed refers to the time consumed from the time when the user receives the short message from the mobile phone after the request of sending the short message, and as the short message sending speed, the read times of the user can be obtained from the database of the short message platform.
As an optional implementation manner, the analysis obtains the output success evaluation coefficient corresponding to the target short message platform at each time point, and the specific analysis process is as follows: by calculation formulaAnalyzing to obtain the output success evaluation coefficient/>, corresponding to the target short message platform at each time pointI represents the number of each time point, i=1.2..n, epsilon 1、ε2 is respectively expressed as a set short message sending speed and a weight factor of the read times of a user, gamma 'is expressed as a set short message sending speed, η' represents the set number of times the user has read, γ i represents the short message sending speed corresponding to the i-th time point target short message platform, and η i represents the number of times the user corresponding to the i-th time point target short message platform has read.
As an optional implementation manner, the analysis obtains the timeliness evaluation coefficient corresponding to the target short message platform, and judges the timeliness of the target short message platform, and the specific analysis process is as follows: by calculation formulaAnalyzing to obtain a timeliness evaluation coefficient lambda, i corresponding to the target short message platform, wherein i represents the number of each time point, i=1.2. V 1、ν2 is respectively expressed as a state evaluation coefficient corresponding to the target short message platform and a weight factor for outputting a success evaluation coefficient, and beta i is expressed as a state evaluation coefficient corresponding to the target short message platform at the ith time point,/>The output success evaluation coefficient corresponding to the target short message platform at the ith time point is expressed;
Comparing the timeliness evaluation coefficient threshold corresponding to the target short message platform with the timeliness evaluation coefficient threshold stored in the database, if the timeliness evaluation coefficient threshold corresponding to the target short message platform is smaller than the timeliness evaluation coefficient threshold stored in the database, judging that the target short message platform is not timely, and if the timeliness evaluation coefficient threshold corresponding to the target short message platform is larger than or equal to the timeliness evaluation coefficient threshold stored in the database, judging that the target short message platform is timely.
The network information analysis module is used for acquiring network information of the target short message platform at each time point, wherein the network information comprises network bandwidth and network rate, and further analyzing and obtaining network evaluation coefficients corresponding to the target short message platform at each time point;
It should be noted that, the network test software obtains the corresponding network information of each time, and further performs the average value calculation to obtain the average value, which is used as the corresponding network information.
As an optional implementation manner, the analyzing obtains the network evaluation coefficients corresponding to the target short message platforms at each time point, and the specific analysis process is as follows: by calculation formulaAnalyzing to obtain a network evaluation coefficient mu i corresponding to the target short message platform at each time point, wherein i represents the number of each time point, i=1.2..n, and kappa 1、κ2 are respectively represented as set weight factors of network bandwidth and network rate, and are respectively represented as a weight factor of a/>Expressed as a set network bandwidth, θ' expressed as a set network rate,/>And the network bandwidth corresponding to the target short message platform at the ith time point is represented, and the theta i is represented as the network rate corresponding to the target short message platform at the ith time point.
The platform operation monitoring module is used for acquiring load information of the target short message platform at each time point, wherein the load information comprises the concurrent connection quantity and the connection blocking duration, further analyzing and obtaining a load evaluation coefficient corresponding to the target short message platform at each time point, analyzing and obtaining a stability evaluation coefficient corresponding to the target short message platform according to a network evaluation coefficient corresponding to the target short message platform at each time point, and further judging the stability of the target short message platform according to the stability evaluation coefficient corresponding to the target short message platform;
the load information is acquired from the database.
As an optional implementation manner, the analysis obtains the load evaluation coefficients corresponding to the target short message platforms at each time point, and the specific analysis process is as follows: by calculation formulaAnalyzing to obtain load evaluation coefficients/>, corresponding to target short message platforms at all time pointsI represents the number of each time point, i=1.2..n, ρ 1、ρ2 is expressed as a weight factor for the set number of concurrent connections, connection blocking duration, respectively,/>Expressed as the set number of concurrent connections, τ' expressed as the set connection blocking duration,/>And tau i represents the connection blocking duration corresponding to the target short message platform at the ith time point.
As an optional implementation manner, the analysis obtains a stability evaluation coefficient corresponding to the target short message platform, and judges the stability of the target short message platform, and the specific analysis process is as follows: by calculation formulaAnalyzing to obtain a stability evaluation coefficient omega corresponding to the target short message platform, wherein i represents the number of each time point, i=1.2..n, sigma 1、σ2 is respectively represented as a network evaluation coefficient corresponding to the target short message platform and a weight factor of a load evaluation coefficient, mu i is represented as a network evaluation coefficient corresponding to the target short message platform at the ith time point, and/>The load evaluation coefficient corresponding to the target short message platform at the ith time point is represented;
Comparing the stability evaluation coefficient threshold corresponding to the target short message platform with the stability evaluation coefficient threshold stored in the database, if the stability evaluation coefficient threshold corresponding to the target short message platform is smaller than the stability evaluation coefficient threshold stored in the database, judging that the target short message platform is unstable, and if the stability evaluation coefficient threshold corresponding to the target short message platform is larger than or equal to the stability evaluation coefficient threshold stored in the database, judging that the target short message platform is stable.
The platform health analysis module is used for analyzing and obtaining a health evaluation coefficient corresponding to the target short message platform according to the timeliness evaluation coefficient and the stability evaluation coefficient corresponding to the target short message platform, and judging the health state corresponding to the target short message platform through the health evaluation coefficient corresponding to the target short message platform;
As an optional implementation manner, the analyzing obtains the health evaluation coefficient corresponding to the target short message platform, and the specific analysis process is as follows: and analyzing to obtain health evaluation coefficients xi, z 1、z2 corresponding to the target short message platform through a calculation formula xi=z 1*ω+z2 x lambda, wherein z 1、z2 is respectively expressed as a timeliness evaluation coefficient and a weight factor of a stability evaluation coefficient corresponding to the target short message platform, omega is expressed as a stability evaluation coefficient corresponding to the target short message platform, and lambda is expressed as a timeliness evaluation coefficient corresponding to the target short message platform.
As an optional implementation manner, the specific judging process of the health state corresponding to the judging target short message platform is as follows: comparing the health evaluation coefficient threshold corresponding to the target short message platform with the health evaluation coefficient threshold stored in the database, if the health evaluation coefficient threshold corresponding to the target short message platform is smaller than the health evaluation coefficient threshold stored in the database, judging that the health of the target short message platform is abnormal, and if the health evaluation coefficient threshold corresponding to the target short message platform is larger than or equal to the health evaluation coefficient threshold stored in the database, judging that the state of the target short message platform is healthy.
As an alternative embodiment, the method includes a database for storing status information, output information, network information, load information, timeliness assessment coefficient threshold values, stability assessment coefficient threshold values, health assessment coefficient threshold values.
The invention provides a health monitoring system of a short message platform, which obtains a state evaluation coefficient corresponding to the target short message platform through obtaining the state information of the target short message platform, further obtains the output information of the target short message platform, further obtains an output success evaluation coefficient corresponding to the target short message platform through analysis, adds the state evaluation coefficient corresponding to the target short message platform and the output success evaluation coefficient, further obtains a timeliness evaluation coefficient corresponding to the target short message platform through analysis, judges the timeliness of the target short message platform, obtains a network evaluation coefficient corresponding to the target short message platform through obtaining the network information of the target short message platform, further obtains the load information of the target short message platform and further obtains the load evaluation coefficient corresponding to the target short message platform through analysis, and the network evaluation coefficients and the load evaluation coefficients corresponding to the target short message platform are added, the stability evaluation coefficients corresponding to the target short message platform are obtained through analysis, and the stability of the target short message platform is judged, so that the health evaluation coefficients corresponding to the target short message platform are obtained through analysis according to the timeliness evaluation coefficients and the stability evaluation coefficients corresponding to the target short message platform, and the health state corresponding to the target short message platform is judged, so that the health operation condition of the short message platform is better monitored, the operation effectiveness of the short message platform is better ensured, the health problem of the short message platform is conveniently and timely solved, the load of manual monitoring is reduced, the operation and transmission efficiency of the short message platform is improved, and the service quality and intelligent operation of the short message platform are improved.
And the early warning terminal is used for carrying out early warning prompt when the health state corresponding to the target short message platform is abnormal.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (10)
1. A message platform health monitoring system is characterized by comprising:
the state information monitoring module is used for monitoring state information of the short messages sent by the target short message platform at each time point, wherein the state information comprises the number of the short messages which are successfully sent, the number of the short messages which are failed to be sent and the number of the short messages to be sent, and further, the state evaluation coefficients corresponding to the target short message platform at each time point are obtained through analysis;
the output information analysis module is used for acquiring output information of the target short message platform at each time point, wherein the output information comprises short message sending speed and read times of a user, further analyzing and obtaining output success evaluation coefficients corresponding to the target short message platform at each time point, analyzing and obtaining timeliness evaluation coefficients corresponding to the target short message platform according to state evaluation coefficients corresponding to the target short message platform at each time point, and further judging timeliness of the target short message platform according to the timeliness evaluation coefficients corresponding to the target short message platform;
The network information analysis module is used for acquiring network information of the target short message platform at each time point, wherein the network information comprises network bandwidth and network rate, and further analyzing and obtaining network evaluation coefficients corresponding to the target short message platform at each time point;
The platform operation monitoring module is used for acquiring load information of the target short message platform at each time point, wherein the load information comprises the concurrent connection quantity and the connection blocking duration, further analyzing and obtaining a load evaluation coefficient corresponding to the target short message platform at each time point, analyzing and obtaining a stability evaluation coefficient corresponding to the target short message platform according to a network evaluation coefficient corresponding to the target short message platform at each time point, and further judging the stability of the target short message platform according to the stability evaluation coefficient corresponding to the target short message platform;
The platform health analysis module is used for analyzing and obtaining a health evaluation coefficient corresponding to the target short message platform according to the timeliness evaluation coefficient and the stability evaluation coefficient corresponding to the target short message platform, and judging the health state corresponding to the target short message platform through the health evaluation coefficient corresponding to the target short message platform;
and the early warning terminal is used for carrying out early warning prompt when the health state corresponding to the target short message platform is abnormal.
2. The system for monitoring the health of a short message platform according to claim 1, wherein the analysis obtains a state evaluation coefficient corresponding to the target short message platform at each time point, and the specific analysis process is as follows:
By calculation formula Analyzing to obtain a state evaluation coefficient beta i corresponding to each time point target short message platform, wherein i represents the number of each time point, i=1.2..n, alpha 1、α2、α3 represents the set number of short messages which are successfully transmitted, the number of short messages which are failed to transmit and the weight factor of the number of short messages to be transmitted respectively, χ ' represents the set number of short messages which are successfully transmitted, δ ' represents the set number of short messages which are failed to transmit, φ ' represents the set number of short messages to be transmitted, χ i represents the number of short messages which are successfully transmitted and correspond to the i time point target short message platform, δ i represents the number of short messages which are failed to transmit and correspond to the i time point target short message platform, and φ i represents the number of short messages to be transmitted and correspond to the i time point target short message platform.
3. The system for monitoring the health of a short message platform according to claim 1, wherein the analysis obtains the output success evaluation coefficient corresponding to the target short message platform at each time point, and the specific analysis process is as follows:
By calculation formula Analyzing to obtain the output success evaluation coefficient/>, corresponding to the target short message platform at each time pointI represents the number of each time point, i=1.2..n, epsilon 1、ε2 is respectively expressed as a set short message sending speed and a weight factor of the read times of a user, gamma 'is expressed as a set short message sending speed, η' represents the set number of times the user has read, γ i represents the short message sending speed corresponding to the i-th time point target short message platform, and η i represents the number of times the user corresponding to the i-th time point target short message platform has read.
4. The system for monitoring health of a short message platform according to claim 1, wherein the analyzing obtains a timeliness evaluation coefficient corresponding to the target short message platform, and judges timeliness of the target short message platform, and the specific analyzing process is as follows:
By calculation formula Analyzing to obtain a timeliness evaluation coefficient lambda, i corresponding to the target short message platform, wherein i represents the number of each time point, i=1.2. V 1、ν2 is respectively expressed as a state evaluation coefficient corresponding to the target short message platform and a weight factor for outputting a success evaluation coefficient, and beta i is expressed as a state evaluation coefficient corresponding to the target short message platform at the ith time point,/>The output success evaluation coefficient corresponding to the target short message platform at the ith time point is expressed;
Comparing the timeliness evaluation coefficient threshold corresponding to the target short message platform with the timeliness evaluation coefficient threshold stored in the database, if the timeliness evaluation coefficient threshold corresponding to the target short message platform is smaller than the timeliness evaluation coefficient threshold stored in the database, judging that the target short message platform is not timely, and if the timeliness evaluation coefficient threshold corresponding to the target short message platform is larger than or equal to the timeliness evaluation coefficient threshold stored in the database, judging that the target short message platform is timely.
5. The system for monitoring the health of a short message platform according to claim 1, wherein the analysis obtains network evaluation coefficients corresponding to the target short message platform at each time point, and the specific analysis process is as follows:
By calculation formula Analyzing to obtain a network evaluation coefficient mu i corresponding to the target short message platform at each time point, wherein i represents the number of each time point, i=1.2..n, and kappa 1、κ2 are respectively represented as set weight factors of network bandwidth and network rate, and are respectively represented as a weight factor of a/>Expressed as a set network bandwidth, θ' expressed as a set network rate,/>And the network bandwidth corresponding to the target short message platform at the ith time point is represented, and the theta i is represented as the network rate corresponding to the target short message platform at the ith time point.
6. The system for monitoring the health of a short message platform according to claim 1, wherein the analysis obtains a load evaluation coefficient corresponding to the target short message platform at each time point, and the specific analysis process is as follows:
By calculation formula Analyzing to obtain a load evaluation coefficient theta i corresponding to the target short message platform at each time point, wherein i represents the number of each time point, i=1.2..n, and rho 1、ρ2 is respectively represented as a set weight factor of the concurrent connection number and the connection blocking duration, and is/are respectively represented as a set weight factor of the concurrent connection number and the connection blocking durationExpressed as the set number of concurrent connections, τ' expressed as the set connection blocking duration,/>And tau i represents the connection blocking duration corresponding to the target short message platform at the ith time point.
7. The system for monitoring health of a short message platform according to claim 1, wherein the analysis obtains a stability evaluation coefficient corresponding to the target short message platform, and judges the stability of the target short message platform, and the specific analysis process is as follows:
By calculation formula Analyzing to obtain a stability evaluation coefficient omega corresponding to the target short message platform, wherein i represents the number of each time point, i=1.2..n, sigma 1、σ2 is respectively represented as a network evaluation coefficient corresponding to the target short message platform and a weight factor of a load evaluation coefficient, mu i is represented as a network evaluation coefficient corresponding to the target short message platform at the ith time point, and theta i is represented as a load evaluation coefficient corresponding to the target short message platform at the ith time point;
Comparing the stability evaluation coefficient threshold corresponding to the target short message platform with the stability evaluation coefficient threshold stored in the database, if the stability evaluation coefficient threshold corresponding to the target short message platform is smaller than the stability evaluation coefficient threshold stored in the database, judging that the target short message platform is unstable, and if the stability evaluation coefficient threshold corresponding to the target short message platform is larger than or equal to the stability evaluation coefficient threshold stored in the database, judging that the target short message platform is stable.
8. The system for monitoring health of a short message platform according to claim 1, wherein the analyzing obtains a health evaluation coefficient corresponding to the target short message platform, and the specific analyzing process is as follows:
And analyzing to obtain health evaluation coefficients xi, z 1、z2 corresponding to the target short message platform through a calculation formula xi=z 1*ω+z2 x lambda, wherein z 1、z2 is respectively expressed as a timeliness evaluation coefficient and a weight factor of a stability evaluation coefficient corresponding to the target short message platform, omega is expressed as a stability evaluation coefficient corresponding to the target short message platform, and lambda is expressed as a timeliness evaluation coefficient corresponding to the target short message platform.
9. The system for monitoring health of a short message platform according to claim 1, wherein the specific judging process is as follows:
Comparing the health evaluation coefficient threshold corresponding to the target short message platform with the health evaluation coefficient threshold stored in the database, if the health evaluation coefficient threshold corresponding to the target short message platform is smaller than the health evaluation coefficient threshold stored in the database, judging that the health of the target short message platform is abnormal, and if the health evaluation coefficient threshold corresponding to the target short message platform is larger than or equal to the health evaluation coefficient threshold stored in the database, judging that the state of the target short message platform is healthy.
10. The sms platform health monitoring system of claim 1, comprising a database for storing status information, output information, network information, load information, timeliness assessment factor threshold, stability assessment factor threshold, health assessment factor threshold.
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