CN116319348A - Internet of things platform connection management system - Google Patents
Internet of things platform connection management system Download PDFInfo
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- CN116319348A CN116319348A CN202310287666.9A CN202310287666A CN116319348A CN 116319348 A CN116319348 A CN 116319348A CN 202310287666 A CN202310287666 A CN 202310287666A CN 116319348 A CN116319348 A CN 116319348A
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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
- H04L41/0896—Bandwidth or capacity management, i.e. automatically increasing or decreasing capacities
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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- H04L41/06—Management of faults, events, alarms or notifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0876—Network utilisation, e.g. volume of load or congestion level
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- H—ELECTRICITY
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/16—Threshold monitoring
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- H—ELECTRICITY
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
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Abstract
The invention belongs to the field of the Internet of things, relates to a data analysis technology, and is used for solving the problem that a connection management system of an Internet of things platform in the prior art cannot analyze the use state of a flow pool by combining the flow use conditions of all Internet of things cards, and particularly relates to the connection management system of the Internet of things platform, which comprises a server, wherein the server is in communication connection with a flow monitoring module, a flow management module, a stability analysis module and a storage module, and the flow monitoring module is used for monitoring and analyzing the flow of the Internet of things card of the Internet of things platform: marking an Internet of things card connected with an Internet of things platform as a monitoring object; the method is used for monitoring the flow of the Internet of things card of the Internet of things platform in real time, comprehensively analyzing a plurality of monitoring parameters such as the used flow, a flow threshold value and monitoring time length to obtain the monitoring coefficient, namely feeding back the flow use state of the Internet of things card according to the numerical value of the monitoring coefficient, and timely early warning when the possibility of exceeding the flow exists.
Description
Technical Field
The invention belongs to the field of Internet of things, relates to a data analysis technology, and particularly relates to an Internet of things platform connection management system.
Background
The internet of things refers to collecting any object or process needing to be monitored, connected and interacted in real time through various devices and technologies such as various information sensors, radio frequency identification technologies, global positioning systems, infrared sensors and laser scanners, collecting various needed information such as sound, light, heat, electricity, mechanics, chemistry, biology and positions of the object or process, and realizing ubiquitous connection of the object and the person through various possible network access;
however, the internet of things platform connection management system in the prior art can only monitor and early warn the traffic service condition of a single internet of things card, but cannot analyze the service state of a traffic pool by combining the traffic service conditions of all internet of things cards, and cannot dynamically adjust the traffic threshold of the single internet of things card;
aiming at the technical problems, the application provides a solution.
Disclosure of Invention
The invention aims to provide an Internet of things platform connection management system which is used for solving the problem that the Internet of things platform connection management system in the prior art cannot analyze the use state of a flow pool by combining the flow use conditions of all Internet of things cards.
The technical problems to be solved by the invention are as follows: how to provide an internet of things platform connection management system for analyzing the use state of a flow pool by combining the flow use conditions of all internet of things cards.
The aim of the invention can be achieved by the following technical scheme:
the platform connection management system of the Internet of things comprises a server, wherein the server is in communication connection with a flow monitoring module, a flow management module, a stability analysis module and a storage module;
the flow monitoring module is used for monitoring and analyzing the flow of the Internet of things card of the Internet of things platform: marking an Internet of things card connected with an Internet of things platform as a monitoring object i, wherein i=1, 2, …, n and n are positive integers, generating a monitoring period, monitoring the used flow of the monitoring object i in real time in the monitoring period and marking the used flow as a flow value LLi, acquiring a flow threshold LLid of the monitoring object i through a storage module, marking the duration of the monitoring period as JS, marking the total duration of the monitoring period as ZS, and carrying out numerical calculation through the flow value LLi, the flow threshold LLid, JS and JCi to obtain a monitoring coefficient JCi of the monitoring object i; judging whether the flow of the monitored object i is normal or not according to the value of the monitoring coefficient JCi;
the flow management module is used for carrying out management analysis on the flow service condition of the Internet of things card when the monitoring period is over: marking the monitoring object i as an out-of-standard object i, a normal object i or an insufficient object i at the end time of the monitoring period; optimizing flow threshold LLids of the exceeding object i and the insufficient object i; performing management analysis on the flow condition of the flow pool;
the stability analysis module is used for analyzing the use stability of the flow of the Internet of things card in the monitoring period: at the end time of the monitoring period, the number of insufficient objects i in the monitoring period is acquired and marked as insufficient data BS, the number of exceeding objects i in the monitoring period is acquired and marked as exceeding data CS, and the number of normal objects i in the monitoring period is acquired and marked as normal data ZS; obtaining a stability coefficient WD of a monitoring period by carrying out numerical calculation on CS, ZS and BS; marking the stability level of the monitoring period as a first level, a second level or a third level by the value of the stability coefficient WD; the stability level of the monitoring period is sent to the server.
As a preferred embodiment of the present invention, the specific process for determining whether the flow rate of the monitoring object i is normal includes: the monitoring threshold JCmax is obtained through the storage module, and the monitoring coefficient JCi of the monitored object i is compared with the monitoring threshold JCmax: if the monitoring coefficient JCi is smaller than the monitoring threshold value JCmax, judging that the flow of the monitored object i is normal, and sending a flow normal signal to the server by the flow monitoring module; if the monitoring coefficient JCi is greater than or equal to the JCmax, judging that the flow of the monitoring object i is abnormal, and marking the corresponding monitoring object as an out-of-standard object i; the flow monitoring module sends a flow early warning signal to the server, and the server sends the flow early warning signal to the mobile phone terminal of the corresponding user after receiving the flow early warning signal.
As a preferred embodiment of the present invention, the specific process of marking the monitored object i as the out-of-standard object i, the normal object i or the insufficient object i includes: obtaining a flow index value LLib of a monitoring object i through a formula LLib=t1, wherein t1 is a proportionality coefficient, t1 is more than or equal to 0.75 and less than or equal to 0.85, a flow range is formed by the flow index value LLib and a flow threshold value LLid, and if the flow value LLi of the monitoring object i at the end moment of a monitoring period is positioned in the flow range, the corresponding monitoring object i is marked as a normal object i; and marking the monitoring objects i except the normal object i and the exceeding object i as insufficient objects i.
As a preferred embodiment of the present invention, the specific process of optimizing the flow threshold LLid of the out-of-standard object i and the under-standard object i includes: obtaining an overstandard threshold value CBi of an overstandard object i through a formula CBi=m1×llid, and obtaining an understandard threshold value BZi of an understandard object i through a formula BZ=m2×llid, wherein m1 and m2 are proportionality coefficients, and m1 is more than or equal to 1.05 and less than or equal to 1.15,0.85 and m2 is less than or equal to 0.95; and sending the out-of-standard threshold value CBi and the insufficient threshold value BZi to a storage module, and carrying out numerical replacement on the flow threshold value LLid of the out-of-standard object i and the insufficient object i by the out-of-standard threshold value CBi and the insufficient threshold value BZi.
As a preferred embodiment of the present invention, the specific process of performing management analysis on the flow conditions of the flow pool includes: marking the difference value between an exceeding threshold value CBi of an exceeding object i and a corresponding flow threshold value LLid in a monitoring period as a wide flow value KLi of the exceeding object i, marking the difference value between an insufficient threshold value BZi of an insufficient object i and the corresponding flow threshold value LLid in the monitoring period as a contracted flow value SLi of the insufficient object i, marking the sum value of the wide flow values KLi of all exceeding objects i as wide flow data of the monitoring period, and marking the sum value of the contracted flow values SLi of all the insufficient objects i as contracted flow data of the monitoring period; marking the sum of the wide flow data and the contracted flow data of the monitoring period as flow wave data of the monitoring period, acquiring a flow wave range through a storage module, and analyzing flow fluctuation of the monitoring period: if the flow wave data is in the flow wave range, judging that the flow fluctuation of the monitoring period meets the requirement, and marking the corresponding monitoring period as a wave stability period; if the flow wave data is out of the flow wave range and the flow wave data is negative, judging that the flow fluctuation of the monitoring period does not meet the requirement, marking the corresponding monitoring period as a flow shrinkage period, sending a flow shrinkage signal to a server by a flow management module, and sending the flow shrinkage signal to a mobile phone terminal of a manager after the server receives the flow shrinkage signal; if the flow wave data is out of the flow wave range and the flow wave data is positive, judging that the flow fluctuation of the monitoring period does not meet the requirement, marking the corresponding monitoring period as a wide flow period, sending a wide flow signal to a server by a flow management module, and sending the wide flow signal to a mobile phone terminal of a manager after the server receives the wide flow signal.
As a preferred embodiment of the present invention, the specific process of marking the stability level of the monitoring period as a first level, a second level or a third level includes: the stability threshold values WDmin and WDmax are obtained through the storage module, and the stability coefficient WD of the monitoring period is compared with the stability threshold values WDmin and WDmax: if WD is less than or equal to WDmin, judging that the flow use stability of the monitoring period meets the requirement, and marking the stability grade corresponding to the monitoring period as a grade; if WDmin is less than WD and less than WDmax, judging that the flow use stability of the monitoring period does not meet the requirement, and marking the stability grade of the corresponding monitoring period as a grade; if WD is more than or equal to WDmax, judging that the flow use stability of the monitoring period does not meet the requirement, and marking the stability grade of the corresponding monitoring period as three grades.
The working method of the internet of things platform connection management system comprises the following steps:
step one: monitoring and analyzing the internet of things card flow of the internet of things platform: marking an Internet of things card connected with an Internet of things platform as a monitoring object i, generating a monitoring period, acquiring a monitoring coefficient JCi of the monitoring period i in the monitoring period, and judging whether the flow of the monitoring object i is normal or not through the value of the monitoring coefficient JCi;
step two: when the monitoring period is over, the traffic use condition of the Internet of things card is managed and analyzed, a monitoring object i is marked as a normal object i, an exceeding object i or a shortage object i, the traffic threshold LLid of the exceeding object i and the shortage object i is updated, and the traffic fluctuation of the monitoring period is analyzed;
step three: and analyzing the use stability of the flow of the Internet of things card in the monitoring period: and acquiring a stability coefficient WD of the monitoring period at the end time of the monitoring period, marking the stability grade of the monitoring period as a grade one, a grade two or a grade three through the value of the stability coefficient WD, and transmitting the stability grade of the monitoring period to the server.
The invention has the following beneficial effects:
1. the flow monitoring module can monitor the flow of the Internet of things card of the Internet of things platform in real time, and comprehensively analyze a plurality of monitoring parameters such as the used flow, a flow threshold value, monitoring time length and the like to obtain a monitoring coefficient, so that the flow use state of the Internet of things card is fed back through the numerical value of the monitoring coefficient, and early warning is timely carried out when the possibility of exceeding the flow exists;
2. the flow management module can manage and analyze the flow service condition of the internet of things card when the monitoring period is finished, dynamically adjust the flow thresholds of the exceeding object and the lacking object, reasonably distribute the flow according to the flow service condition, monitor the flow fluctuation of the flow pool caused by the flow threshold adjustment in the monitoring period, and improve the applicability of the flow pool while guaranteeing the reasonable adjustment of the flow of the single internet of things card;
3. the stability analysis module can analyze the flow use stability of the Internet of things card in the monitoring period, and the stability analysis module analyzes the flow use stability in the monitoring period through the marking conditions of the exceeding object and the insufficient object and obtains a stability coefficient, so that the stability grade of the monitoring period is evaluated according to the stability coefficient.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings can be obtained according to these drawings without inventive effort to a person skilled in the art.
FIG. 1 is a system block diagram of a first embodiment of the present invention;
fig. 2 is a flowchart of a method according to a second embodiment of the invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments 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.
Example 1
As shown in FIG. 1, the Internet of things platform connection management system comprises a server, wherein the server is in communication connection with a flow monitoring module, a flow management module, a stability analysis module and a storage module.
The flow monitoring module is used for monitoring and analyzing the flow of the Internet of things card of the Internet of things platform: marking an Internet of things card connected with an Internet of things platform as a monitoring object i, wherein i=1, 2, …, n and n are positive integers, generating a monitoring period, monitoring the used flow of the monitoring object i in real time in the monitoring period and marking the used flow as a flow value LLi, acquiring a flow threshold LLid of the monitoring object i through a storage module, marking the proceeding time of the monitoring period as JS, marking the total time of the monitoring period as ZS, obtaining a monitoring coefficient JCi of the monitoring object i through a formula JCi = (alpha 1 x LLi x ZS)/(alpha 2 x LLid x JS), wherein the monitoring coefficient is a numerical value reflecting the possibility of the occurrence of the flow exceeding of the monitoring object, and the larger the numerical value of the monitoring coefficient is, the greater the possibility of the flow exceeding of the monitoring object is indicated; wherein, alpha 1 and alpha 2 are both proportional coefficients, and alpha 1 is more than alpha 2 is more than 1; the monitoring threshold JCmax is obtained through the storage module, and the monitoring coefficient JCi of the monitored object i is compared with the monitoring threshold JCmax: if the monitoring coefficient JCi is smaller than the monitoring threshold value JCmax, judging that the flow of the monitored object i is normal, and sending a flow normal signal to the server by the flow monitoring module; if the monitoring coefficient JCi is greater than or equal to the JCmax, judging that the flow of the monitoring object i is abnormal, and marking the corresponding monitoring object as an out-of-standard object i; the flow monitoring module sends a flow early warning signal to the server, and the server sends the flow early warning signal to a mobile phone terminal of a corresponding user after receiving the flow early warning signal; the method comprises the steps of monitoring the flow of the Internet of things card of the Internet of things platform in real time, comprehensively analyzing a plurality of monitoring parameters such as used flow, flow threshold and monitoring time length to obtain a monitoring coefficient, feeding back the flow use state of the Internet of things card according to the numerical value of the monitoring coefficient, and timely early warning when the possibility of exceeding the standard of the flow exists.
The flow management module is used for carrying out management analysis on the flow service condition of the Internet of things card when the monitoring period is over: obtaining a flow index value LLib of a monitoring object i at the end time of a monitoring period through a formula LLib=t1×LLid, wherein t1 is a proportionality coefficient, t1 is more than or equal to 0.75 and less than or equal to 0.85, a flow range is formed by the flow index value LLib and a flow threshold value LLid, and if the flow value LLi of the monitoring object i at the end time of the monitoring period is positioned in the flow range, the corresponding monitoring object i is marked as a normal object i; marking a monitoring object i except a normal object i and an exceeding object i as an insufficient object i; optimizing the flow threshold LLids of the out-of-standard objects and the insufficient objects: obtaining an overstandard threshold value CBi of an overstandard object i through a formula CBi=m1×llid, and obtaining an understandard threshold value BZi of an understandard object i through a formula BZ=m2×llid, wherein m1 and m2 are proportionality coefficients, and m1 is more than or equal to 1.05 and less than or equal to 1.15,0.85 and m2 is less than or equal to 0.95; the method comprises the steps of sending an out-of-standard threshold value CBi and an insufficient threshold value BZi to a storage module, and carrying out numerical replacement on flow threshold values LLid of an out-of-standard object i and an insufficient object i by the out-of-standard threshold value CBi and the insufficient threshold value BZi; and carrying out management analysis on the flow conditions of the flow pool: marking the difference value between an exceeding threshold value CBi of an exceeding object i and a corresponding flow threshold value LLid in a monitoring period as a wide flow value KLi of the exceeding object i, marking the difference value between an insufficient threshold value BZi of an insufficient object i and the corresponding flow threshold value LLid in the monitoring period as a contracted flow value SLi of the insufficient object i, marking the sum value of the wide flow values KLi of all exceeding objects i as wide flow data of the monitoring period, and marking the sum value of the contracted flow values SLi of all the insufficient objects i as contracted flow data of the monitoring period; marking the sum of the wide flow data and the contracted flow data of the monitoring period as flow wave data of the monitoring period, acquiring a flow wave range through a storage module, and analyzing flow fluctuation of the monitoring period: if the flow wave data is in the flow wave range, judging that the flow fluctuation of the monitoring period meets the requirement, and marking the corresponding monitoring period as a wave stability period; if the flow wave data is out of the flow wave range and the flow wave data is negative, judging that the flow fluctuation of the monitoring period does not meet the requirement, marking the corresponding monitoring period as a flow shrinkage period, sending a flow shrinkage signal to a server by a flow management module, and sending the flow shrinkage signal to a mobile phone terminal of a manager after the server receives the flow shrinkage signal; if the flow wave data is out of the flow wave range and the flow wave data is positive, judging that the flow fluctuation of the monitoring period does not meet the requirement, marking the corresponding monitoring period as a wide flow period, sending a wide flow signal to a server by a flow management module, and sending the wide flow signal to a mobile phone terminal of a manager after the server receives the wide flow signal; and at the end of the monitoring period, the flow service condition of the Internet of things card is managed and analyzed, the flow thresholds of the exceeding objects and the lacking objects are dynamically regulated, reasonable flow distribution is carried out according to the flow service condition, meanwhile, the flow fluctuation of the flow pool caused by the flow threshold regulation in the monitoring period is monitored, and the applicability of the flow pool is improved while the reasonable regulation of the single Internet of things card flow is ensured.
The stability analysis module is used for analyzing the use stability of the flow of the Internet of things card in the monitoring period: at the end time of the monitoring period, the number of insufficient objects i in the monitoring period is acquired and marked as insufficient data BS, the number of exceeding objects i in the monitoring period is acquired and marked as exceeding data CS, and the number of normal objects i in the monitoring period is acquired and marked as normal data ZS; obtaining a stability coefficient WD of the monitoring period through a formula WD= (beta 1 x CS+beta 2 x BS)/(beta 3 x ZS), wherein the stability coefficient is a numerical value reflecting the flow using stability of the flow pool in the monitoring period, and the smaller the numerical value of the stability coefficient is, the higher the flow using stability of the flow pool in the monitoring period is; wherein β1, β2 and β3 are proportionality coefficients, and β1 > β2 > β3 > 1; the stability threshold values WDmin and WDmax are obtained through the storage module, and the stability coefficient WD of the monitoring period is compared with the stability threshold values WDmin and WDmax: if WD is less than or equal to WDmin, judging that the flow use stability of the monitoring period meets the requirement, and marking the stability grade corresponding to the monitoring period as a grade; if WDmin is less than WD and less than WDmax, judging that the flow use stability of the monitoring period does not meet the requirement, and marking the stability grade of the corresponding monitoring period as a grade; if WD is more than or equal to WDmax, judging that the flow use stability of the monitoring period does not meet the requirement, and marking the stability grade of the corresponding monitoring period as three grades; transmitting the stability level of the monitoring period to a server; and analyzing the flow use stability of the Internet of things card in the monitoring period, analyzing the flow use stability in the monitoring period through the marking conditions of the exceeding object and the insufficient object, and obtaining a stability coefficient, thereby carrying out stability grade assessment on the monitoring period according to the stability coefficient.
Example two
As shown in fig. 2, the method for managing the connection of the platform of the internet of things comprises the following steps:
step one: monitoring and analyzing the internet of things card flow of the internet of things platform: marking an Internet of things card connected with an Internet of things platform as a monitoring object i, generating a monitoring period, acquiring a monitoring coefficient JCi of the monitoring period i in the monitoring period, and judging whether the flow of the monitoring object i is normal or not through the value of the monitoring coefficient JCi;
step two: when the monitoring period is over, the traffic use condition of the Internet of things card is managed and analyzed, a monitoring object i is marked as a normal object i, an exceeding object i or a shortage object i, the traffic threshold LLid of the exceeding object i and the shortage object i is updated, and the traffic fluctuation of the monitoring period is analyzed;
step three: and analyzing the use stability of the flow of the Internet of things card in the monitoring period: and acquiring a stability coefficient WD of the monitoring period at the end time of the monitoring period, marking the stability grade of the monitoring period as a grade one, a grade two or a grade three through the value of the stability coefficient WD, and transmitting the stability grade of the monitoring period to the server.
When the internet of things platform connection management system works, an internet of things card connected with the internet of things platform is marked as a monitoring object i, a monitoring period is generated, a monitoring coefficient JCi of the monitoring period i in the monitoring period is obtained, and whether the flow of the monitoring object i is normal or not is judged through the value of the monitoring coefficient JCi; when the monitoring period is over, the traffic use condition of the Internet of things card is managed and analyzed, a monitoring object i is marked as a normal object i, an exceeding object i or a shortage object i, the traffic threshold LLid of the exceeding object i and the shortage object i is updated, and the traffic fluctuation of the monitoring period is analyzed; and acquiring a stability coefficient WD of the monitoring period at the end time of the monitoring period, marking the stability grade of the monitoring period as a grade one, a grade two or a grade three through the value of the stability coefficient WD, and transmitting the stability grade of the monitoring period to the server.
The formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to a true value, and coefficients in the formulas are set by a person skilled in the art according to actual conditions; such as: the formula wd= (β1×cs+β2×bs)/(β3×zs); collecting a plurality of groups of sample data by a person skilled in the art and setting a corresponding stability coefficient for each group of sample data; substituting the set stability coefficient and the acquired sample data into a formula, forming a ternary one-time equation set by any three formulas, screening the calculated coefficient, and taking an average value to obtain values of alpha 1, alpha 2 and alpha 3 which are 3.74, 2.97 and 2.65 respectively;
the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and the corresponding stability coefficient is preliminarily set for each group of sample data by a person skilled in the art; as long as the proportional relation of the parameter and the quantized value is not affected, for example, the stability factor is proportional to the value of the insufficient data BS.
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 (7)
1. The platform connection management system of the Internet of things is characterized by comprising a server, wherein the server is in communication connection with a flow monitoring module, a flow management module, a stability analysis module and a storage module;
the flow monitoring module is used for monitoring and analyzing the flow of the Internet of things card of the Internet of things platform: marking an Internet of things card connected with an Internet of things platform as a monitoring object i, wherein i=1, 2, …, n and n are positive integers, generating a monitoring period, monitoring the used flow of the monitoring object i in real time in the monitoring period and marking the used flow as a flow value LLi, acquiring a flow threshold LLid of the monitoring object i through a storage module, marking the duration of the monitoring period as JS, marking the total duration of the monitoring period as ZS, and carrying out numerical calculation through the flow value LLi, the flow threshold LLid, JS and JCi to obtain a monitoring coefficient JCi of the monitoring object i; judging whether the flow of the monitored object i is normal or not according to the value of the monitoring coefficient JCi;
the flow management module is used for carrying out management analysis on the flow service condition of the Internet of things card when the monitoring period is over: marking the monitoring object i as an out-of-standard object i, a normal object i or an insufficient object i at the end time of the monitoring period; optimizing flow threshold LLids of the exceeding object i and the insufficient object i; performing management analysis on the flow condition of the flow pool;
the stability analysis module is used for analyzing the use stability of the flow of the Internet of things card in the monitoring period: at the end time of the monitoring period, the number of insufficient objects i in the monitoring period is acquired and marked as insufficient data BS, the number of exceeding objects i in the monitoring period is acquired and marked as exceeding data CS, and the number of normal objects i in the monitoring period is acquired and marked as normal data ZS; obtaining a stability coefficient WD of a monitoring period by carrying out numerical calculation on CS, ZS and BS; marking the stability level of the monitoring period as a first level, a second level or a third level by the value of the stability coefficient WD; the stability level of the monitoring period is sent to the server.
2. The internet of things platform connection management system according to claim 1, wherein the specific process of determining whether the flow of the monitored object i is normal comprises: the monitoring threshold JCmax is obtained through the storage module, and the monitoring coefficient JCi of the monitored object i is compared with the monitoring threshold JCmax: if the monitoring coefficient JCi is smaller than the monitoring threshold value JCmax, judging that the flow of the monitored object i is normal, and sending a flow normal signal to the server by the flow monitoring module; if the monitoring coefficient JCi is greater than or equal to the JCmax, judging that the flow of the monitoring object i is abnormal, and marking the corresponding monitoring object as an out-of-standard object i; the flow monitoring module sends a flow early warning signal to the server, and the server sends the flow early warning signal to the mobile phone terminal of the corresponding user after receiving the flow early warning signal.
3. The internet of things platform connection management system according to claim 2, wherein the specific process of marking the monitored object i as an out-of-standard object i, a normal object i or an insufficient object i comprises: obtaining a flow index value LLib of a monitoring object i through a formula LLib=t1, wherein t1 is a proportionality coefficient, t1 is more than or equal to 0.75 and less than or equal to 0.85, a flow range is formed by the flow index value LLib and a flow threshold value LLid, and if the flow value LLi of the monitoring object i at the end moment of a monitoring period is positioned in the flow range, the corresponding monitoring object i is marked as a normal object i; and marking the monitoring objects i except the normal object i and the exceeding object i as insufficient objects i.
4. The internet of things platform connection management system according to claim 3, wherein the specific process of optimizing the flow threshold LLid of the out-of-standard object i and the insufficient object i comprises: obtaining an overstandard threshold value CBi of an overstandard object i through a formula CBi=m1×llid, and obtaining an understandard threshold value BZi of an understandard object i through a formula BZ=m2×llid, wherein m1 and m2 are proportionality coefficients, and m1 is more than or equal to 1.05 and less than or equal to 1.15,0.85 and m2 is less than or equal to 0.95; and sending the out-of-standard threshold value CBi and the insufficient threshold value BZi to a storage module, and carrying out numerical replacement on the flow threshold value LLid of the out-of-standard object i and the insufficient object i by the out-of-standard threshold value CBi and the insufficient threshold value BZi.
5. The internet of things platform connection management system according to claim 4, wherein the specific process of performing management analysis on the traffic situation of the traffic pool comprises: marking the difference value between an exceeding threshold value CBi of an exceeding object i and a corresponding flow threshold value LLid in a monitoring period as a wide flow value KLi of the exceeding object i, marking the difference value between an insufficient threshold value BZi of an insufficient object i and the corresponding flow threshold value LLid in the monitoring period as a contracted flow value SLi of the insufficient object i, marking the sum value of the wide flow values KLi of all exceeding objects i as wide flow data of the monitoring period, and marking the sum value of the contracted flow values SLi of all the insufficient objects i as contracted flow data of the monitoring period; marking the sum of the wide flow data and the contracted flow data of the monitoring period as flow wave data of the monitoring period, acquiring a flow wave range through a storage module, and analyzing flow fluctuation of the monitoring period: if the flow wave data is in the flow wave range, judging that the flow fluctuation of the monitoring period meets the requirement, and marking the corresponding monitoring period as a wave stability period; if the flow wave data is out of the flow wave range and the flow wave data is negative, judging that the flow fluctuation of the monitoring period does not meet the requirement, marking the corresponding monitoring period as a flow shrinkage period, sending a flow shrinkage signal to a server by a flow management module, and sending the flow shrinkage signal to a mobile phone terminal of a manager after the server receives the flow shrinkage signal; if the flow wave data is out of the flow wave range and the flow wave data is positive, judging that the flow fluctuation of the monitoring period does not meet the requirement, marking the corresponding monitoring period as a wide flow period, sending a wide flow signal to a server by a flow management module, and sending the wide flow signal to a mobile phone terminal of a manager after the server receives the wide flow signal.
6. The internet of things platform connection management system according to claim 5, wherein the specific process of marking the stability level of the monitoring period as one, two or three levels comprises: the stability threshold values WDmin and WDmax are obtained through the storage module, and the stability coefficient WD of the monitoring period is compared with the stability threshold values WDmin and WDmax: if WD is less than or equal to WDmin, judging that the flow use stability of the monitoring period meets the requirement, and marking the stability grade corresponding to the monitoring period as a grade; if WDmin is less than WD and less than WDmax, judging that the flow use stability of the monitoring period does not meet the requirement, and marking the stability grade of the corresponding monitoring period as a grade; if WD is more than or equal to WDmax, judging that the flow use stability of the monitoring period does not meet the requirement, and marking the stability grade of the corresponding monitoring period as three grades.
7. The working method of the internet of things platform connection management system according to any one of claims 1-6, comprising the following steps:
step one: monitoring and analyzing the internet of things card flow of the internet of things platform: marking an Internet of things card connected with an Internet of things platform as a monitoring object i, generating a monitoring period, acquiring a monitoring coefficient JCi of the monitoring period i in the monitoring period, and judging whether the flow of the monitoring object i is normal or not through the value of the monitoring coefficient JCi;
step two: when the monitoring period is over, the traffic use condition of the Internet of things card is managed and analyzed, a monitoring object i is marked as a normal object i, an exceeding object i or a shortage object i, the traffic threshold LLid of the exceeding object i and the shortage object i is updated, and the traffic fluctuation of the monitoring period is analyzed;
step three: and analyzing the use stability of the flow of the Internet of things card in the monitoring period: and acquiring a stability coefficient WD of the monitoring period at the end time of the monitoring period, marking the stability grade of the monitoring period as a grade one, a grade two or a grade three through the value of the stability coefficient WD, and transmitting the stability grade of the monitoring period to the server.
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| CN117201205A (en) * | 2023-11-08 | 2023-12-08 | 深圳市领德创科技有限公司 | Mobile terminal data encryption management system and method based on big data |
| CN117201205B (en) * | 2023-11-08 | 2024-04-02 | 深圳市领德创科技有限公司 | Mobile terminal data encryption management system and method based on big data |
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