CN117041106B - Monitoring equipment operation and maintenance management system and method based on Internet of things - Google Patents
Monitoring equipment operation and maintenance management system and method based on Internet of things Download PDFInfo
- Publication number
- CN117041106B CN117041106B CN202311088586.7A CN202311088586A CN117041106B CN 117041106 B CN117041106 B CN 117041106B CN 202311088586 A CN202311088586 A CN 202311088586A CN 117041106 B CN117041106 B CN 117041106B
- Authority
- CN
- China
- Prior art keywords
- actual
- bandwidth utilization
- utilization rate
- standard
- unit
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000012423 maintenance Methods 0.000 title claims abstract description 48
- 238000012544 monitoring process Methods 0.000 title claims abstract description 29
- 238000000034 method Methods 0.000 title abstract description 20
- 230000008859 change Effects 0.000 claims abstract description 124
- 238000001514 detection method Methods 0.000 claims abstract description 108
- 238000012546 transfer Methods 0.000 claims abstract description 38
- 238000007726 management method Methods 0.000 claims abstract description 29
- 238000004364 calculation method Methods 0.000 claims abstract description 22
- 238000004458 analytical method Methods 0.000 claims abstract description 15
- 230000001174 ascending effect Effects 0.000 claims description 9
- 238000012806 monitoring device Methods 0.000 claims description 7
- 230000006855 networking Effects 0.000 claims 1
- 238000010586 diagram Methods 0.000 description 5
- 238000012986 modification Methods 0.000 description 4
- 230000004048 modification Effects 0.000 description 4
- 230000006870 function Effects 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000000903 blocking effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000007667 floating Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000011144 upstream manufacturing Methods 0.000 description 1
Classifications
-
- 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
- H04L43/0894—Packet rate
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/10—Flow control; Congestion control
- H04L47/24—Traffic characterised by specific attributes, e.g. priority or QoS
- H04L47/2425—Traffic characterised by specific attributes, e.g. priority or QoS for supporting services specification, e.g. SLA
- H04L47/2433—Allocation of priorities to traffic types
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Business, Economics & Management (AREA)
- Development Economics (AREA)
- Marketing (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Health & Medical Sciences (AREA)
- Accounting & Taxation (AREA)
- Environmental & Geological Engineering (AREA)
- Economics (AREA)
- Finance (AREA)
- Computing Systems (AREA)
- Strategic Management (AREA)
- Technology Law (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Data Exchanges In Wide-Area Networks (AREA)
Abstract
The invention relates to the technical field of automatic operation and maintenance monitoring, in particular to an operation and maintenance management system and method for monitoring equipment based on the Internet of things, wherein the system comprises the following components: the statistics module is used for determining a plurality of target detection links according to the customer financial business information; the calculation module is used for calculating the actual bandwidth utilization rate of any target detection link according to any target detection link; the analysis module is used for judging the change trend of the actual bandwidth utilization rate change curve according to the actual bandwidth utilization rate in the standard detection period, and determining the class of the transit server according to the actual average bandwidth utilization rate and the preset standard average bandwidth utilization rate; and the determining module is used for determining the priority of the target detection link according to the change trend and the class of the transfer server, and predicting the strategy of the transfer server expected to be called by the next standard detection period according to the priority. The invention improves the stability of the operation and maintenance management system of the monitoring equipment based on the Internet of things.
Description
Technical Field
The invention relates to the technical field of automatic operation and maintenance monitoring, in particular to an operation and maintenance management system and method for monitoring equipment based on the Internet of things.
Background
The daily operation of the financial industry is independent of the support of automated products and equipment. In order to solve the problem of omnibearing guarantee of the financial service support system, a monitoring operation and maintenance system with perfect functions becomes a necessary factor for the development of the financial industry, and the stability of transacting financial services is guaranteed through the function of the monitoring system.
Patent document with publication number CN 106709578A discloses an operation and maintenance monitoring device and an operation and maintenance monitoring method, the method comprising: the system comprises a task storage unit, a method storage unit, a result storage unit, a configuration unit and a processing unit; the task storage unit is used for storing all operation and maintenance tasks, parameters required by executing each operation and maintenance task and operation and maintenance method information required by executing each operation and maintenance task; the method storage unit is used for storing all operation and maintenance methods, and the operation and maintenance methods comprise operation and maintenance method function sets written by adopting cross-platform Python language; the result storage unit is used for storing operation and maintenance results of executing operation and maintenance tasks; the configuration unit is used for configuring and storing configuration information of all data of the operation and maintenance monitoring device; the configuration information is configured according to the platform where the operation and maintenance monitoring device is located, so that the operation and maintenance monitoring device is applicable to different platforms; the processing unit runs a processing program written in a cross-platform Python language, is respectively connected with the task storage unit, the method storage unit, the result storage unit and the configuration unit, and is used for reading and executing operation and maintenance tasks stored in the task storage unit.
However, the prior art has limitation in the supervision of the link transit server in the operation and maintenance management of the monitoring device, so that the stability of the operation and maintenance management of the monitoring device is insufficient.
Disclosure of Invention
Therefore, the invention provides the operation and maintenance management system and the operation and maintenance management method for the monitoring equipment based on the Internet of things, which can solve the technical problem of insufficient stability of operation and maintenance management of the monitoring equipment.
In order to achieve the above object, the present invention provides an operation and maintenance management system for monitoring equipment based on the internet of things, the system comprising:
the statistics module is used for calculating the actual financial business priority value of the customer according to the financial business information of the customer, determining the financial business classification standard grade of the customer according to the actual financial business priority value and the preset standard financial business priority value, and determining a plurality of target detection links according to the classification standard grade;
the calculation module is connected with the statistics module and used for detecting the actual data rate of any target detection link in the standard detection period and calculating the actual bandwidth utilization rate of any target detection link according to the actual data rate and the preset standard data rate;
the analysis module is connected with the calculation module and used for judging the change trend of the actual bandwidth utilization rate change curve according to the actual bandwidth utilization rate in a standard detection period and determining the class of the transit server according to the actual average bandwidth utilization rate and a preset standard average bandwidth utilization rate;
and the determining module is connected with the analyzing module and used for determining the priority of the target detection link according to the change trend and the class of the transfer server and predicting the strategy of the next standard detection week expected to call the transfer server according to the priority.
Further, the statistical module comprises a first acquisition unit, a first calculation unit, a first determination unit and a second determination unit,
the first acquisition unit is used for acquiring customer financial business information, wherein the customer financial business information comprises transaction amount and loyalty;
the first calculating unit is connected with the acquiring unit and used for calculating the actual financial business priority value of the customer according to the transaction amount and the loyalty;
the first determining unit is connected with the calculating unit and is used for determining the financial business classification standard grade of the customer according to the actual financial business priority value and the preset standard financial business priority value;
the second determining unit is connected with the first determining unit and is used for determining a target detection link according to the classification standard grade.
Further, the statistics unit calculates the financial business priority value according to formula (1);
N＝0.6×M/M0+0.4×L (1)；
where N represents a financial transaction priority value, M represents a transaction amount, L represents loyalty, and M0 represents a total transaction amount of the current month.
Further, the first determining unit comprises a first setting subunit, a second setting subunit and a first judging subunit,
the first setting subunit is configured to set a first classification standard grade, a second classification standard grade and a third classification standard grade;
the second setting subunit is connected with the first setting subunit and is used for setting a standard financial service priority value;
the first judging subunit is connected with the second setting subunit and used for judging the classification standard grade according to the actual financial service priority value and the standard financial service priority value,
if the actual financial business priority value is smaller than the standard financial business priority value, the actual financial business priority value is a first classification standard grade;
if the actual financial business priority value is equal to the standard financial business priority value, the actual financial business priority value is a second classification standard grade;
if the actual financial business priority value is larger than the standard financial business priority value, the actual financial business priority value is a third classification standard grade;
wherein the first classification level < the second classification level < the third classification level.
Further, the computing module comprises a first setting unit, a detecting unit and a second computing unit,
the first setting unit is used for setting a standard detection period and setting a standard data rate;
the detection unit is connected with the first setting unit and is used for detecting the actual data rate of any target detection link in the standard detection period;
the second calculating unit is connected with the detecting unit and is used for calculating the actual bandwidth utilization rate of any target detecting link according to the actual data rate and the standard data rate.
Further, the analysis module comprises a second setting unit, a second acquisition unit and a creation unit,
the second setting unit is used for setting standard bandwidth utilization rate;
the second acquisition unit is connected with the second setting unit and is used for acquiring the actual bandwidth utilization rate of each target detection link in the standard detection period;
the creation unit is connected with the second acquisition unit and used for constructing an actual bandwidth utilization rate change curve of the target detection link according to the actual bandwidth utilization rate, wherein the actual bandwidth utilization rate change curve is constructed based on the change condition of the actual bandwidth utilization rate along with time;
the judging unit is connected with the creating unit and used for judging the change trend of the actual bandwidth utilization rate change curve according to the actual bandwidth utilization rate change curve.
Further, the judging unit comprises a third setting subunit and a second judging subunit,
the third setting subunit is used for setting a standard average slope value;
the second judging subunit is connected with the third setting subunit and is used for comparing the positive average slope value of the actual bandwidth utilization rate change curve with a preset standard average slope value, wherein the positive average slope value is the absolute value of the actual average slope value of the actual bandwidth utilization rate change curve,
if the first judging condition is met, judging that the change trend of the actual bandwidth utilization rate change curve is an ascending change trend;
if the second judging condition is met, judging that the change trend of the actual bandwidth utilization rate change curve is a descending change trend;
the first determination condition is that the positive average slope value is equal to or greater than the standard average slope value,
the second determination condition is that the positive average slope value is less than the standard average slope value.
Further, the analysis module further includes a third setting unit and a judging unit:
the third setting unit is used for setting standard average bandwidth utilization rate;
the judging unit is connected with the third setting unit and used for judging the class of the transit server according to the actual average bandwidth utilization rate and the standard average bandwidth utilization rate;
judging the first class transit server if the actual average bandwidth utilization rate is greater than or equal to the standard average bandwidth utilization rate;
and if the actual average bandwidth utilization ratio is smaller than the preset standard average bandwidth utilization ratio, judging that the second class transit server is the second class transit server.
Further, the determining module determining the priority of the target detection link according to the change trend and the class of the transit server includes:
if the change trend is an ascending change trend and is a first class transit server, determining the change trend as a first priority;
if the change trend is a descending change trend and is a first class transit server, determining the change trend as a second priority;
if the change trend is an ascending change trend and is a second-class transit server, determining the change trend as a third priority;
if the change trend is a descending change trend and is a second-class transit server, determining the change trend as a fourth priority;
wherein the first priority > the second priority > the third priority > the fourth priority. On the other hand, the invention also provides an operation and maintenance management method of the operation and maintenance management system of the monitoring equipment based on the Internet of things, which comprises the following steps:
calculating an actual financial business priority value of a customer according to the customer financial business information, determining a financial business classification standard grade of the customer according to the actual financial business priority value and a preset standard financial business priority value, and determining a plurality of target detection links according to the classification standard grade;
detecting the actual data rate of any target detection link in a standard detection period, and calculating the actual bandwidth utilization rate of any target detection link according to the actual data rate and a preset standard data rate;
judging the change trend of an actual bandwidth utilization rate change curve according to the actual bandwidth utilization rate in a standard detection period, and determining the class of the transit server according to the actual average bandwidth utilization rate and a preset standard average bandwidth utilization rate;
and determining the priority of the target detection link according to the change trend and the class of the transit server, and predicting the strategy of the next standard detection week for calling the transit server according to the priority.
Compared with the prior art, the method has the beneficial effects that the determination of a plurality of target detection links is realized through the calculation module according to the customer financial business information, and the actual bandwidth utilization rate of any target detection link is calculated through the calculation module according to any target detection link; the analysis module judges the change trend of the actual bandwidth utilization rate change curve according to the actual bandwidth utilization rate in a standard detection period, and the analysis module determines the class of the transfer server according to the actual average bandwidth utilization rate and a preset standard average bandwidth utilization rate; determining the priority of a target detection link according to the change trend and the transfer server category by a determining module; the strategy of the transfer server to be called in the next standard detection period is predicted by the determining module according to the priority, the scheduling of the link transfer server is predicted by the calculating module, the analyzing module and the determining module, and the transfer server in the next standard detection period is scheduled according to the prediction, so that the stability of the operation and maintenance management system of the monitoring equipment based on the Internet of things is realized.
In particular, the customer financial service information is acquired through a first acquisition unit, an actual financial service priority value of the customer is obtained through a first calculation unit according to the transaction amount and the loyalty, a customer financial service classification standard grade is determined through a first determination unit according to the actual financial service priority value, and the purpose of determining a target detection link according to the classification standard grade is achieved through a second determination unit.
In particular, the first judging subunit judges the classification standard grade according to the actual financial service priority value and the standard financial service priority value.
In particular, the second calculation unit calculates the actual bandwidth utilization rate of any target detection link according to the actual data rate and the standard data rate, so that the calculation of the bandwidth utilization rate is realized, and support is provided for subsequent judgment.
In particular, the purpose of judging the change trend of the actual bandwidth utilization rate change curve is achieved by the creation unit utilizing the actual bandwidth utilization rate change curve.
In particular, the purpose of distinguishing the change trend of the actual bandwidth utilization rate change curve is achieved by setting the standard average slope value through the third setting subunit, and the judgment of the change trend is achieved by comparing the positive average slope value of the actual bandwidth utilization rate change curve with the preset standard average slope value through the second judging subunit.
Drawings
Fig. 1 is a schematic structural diagram of an operation and maintenance management system for monitoring equipment based on the internet of things according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a statistics module according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a computing module according to an embodiment of the present invention;
fig. 4 is a flow chart of an operation and maintenance management method for monitoring equipment based on the internet of things according to an embodiment of the present invention.
Detailed Description
In order that the objects and advantages of the invention will become more apparent, the invention will be further described with reference to the following examples; it should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are merely for explaining the technical principles of the present invention, and are not intended to limit the scope of the present invention.
It is noted that the terms "comprises" and "comprising," and any variations thereof, in the description and claims of the present invention and in the foregoing figures, 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 or inherent to such process, method, article, or apparatus.
Referring to fig. 1, a schematic structural diagram of an operation and maintenance management system for monitoring equipment based on internet of things according to an embodiment of the present invention includes:
the statistics module 10 is configured to calculate an actual financial service priority value of a customer according to customer financial service information, determine a financial service classification standard grade of the customer according to the actual financial service priority value and a preset standard financial service priority value, and determine a plurality of target detection links according to the classification standard grade;
the calculation module 20 is connected with the statistics module 10 and is used for detecting the actual data rate of any target detection link in a standard detection period and calculating the actual bandwidth utilization rate of any target detection link according to the actual data rate and a preset standard data rate;
the analysis module 30 is connected with the calculation module 20, and is used for judging the change trend of the actual bandwidth utilization rate change curve according to the actual bandwidth utilization rate in the standard detection period, and determining the class of the transit server according to the actual average bandwidth utilization rate and the preset standard average bandwidth utilization rate;
the determining module 40 is connected to the analyzing module 30, and is configured to determine a priority of the target detection link according to the change trend and the class of the relay server, and predict a policy of the relay server to be invoked according to the priority.
Specifically, in the embodiment of the invention, the determination of a plurality of target detection links is realized through the calculation module according to the customer financial business information, and the actual bandwidth utilization rate of any target detection link is calculated through the calculation module according to any target detection link; the analysis module judges the change trend of the actual bandwidth utilization rate change curve according to the actual bandwidth utilization rate in a standard detection period, and the analysis module determines the class of the transfer server according to the actual average bandwidth utilization rate and a preset standard average bandwidth utilization rate; determining the priority of a target detection link according to the change trend and the transfer server category by a determining module; the strategy of the transfer server to be called in the next standard detection period is predicted by the determining module according to the priority, the scheduling of the link transfer server is predicted by the calculating module, the analyzing module and the determining module, and the transfer server in the next standard detection period is scheduled according to the prediction, so that the stability of the operation and maintenance management system of the monitoring equipment based on the Internet of things is realized.
By means of the internet of things technology, the method and the system integrate and analyze customer financial business information by utilizing technologies such as big data and cloud computing when the customer financial business information is acquired, judge the financial credit of the customer, and further evaluate transaction amount and loyalty according to the financial credit if the financial credit is smaller than standard credit and further evaluate transaction amount and loyalty if the financial credit is larger than or equal to the standard credit.
Specifically, the loyalty is determined in any financial enterprise according to the percentage of the number of times that any customer transacts financial transactions in the financial enterprise to the number of times that the customer transacts financial transactions in different financial enterprises.
Specifically, the embodiment of the invention can realize load balancing through DNS, the load balancing relates to distributing network traffic among a plurality of transfer servers, allowing the network traffic to share the load and increasing the whole network capacity, and the load balancing is realized by using special load balancing hardware or software, and the load balancing is performed according to various factors such as availability of the transfer servers, performance of the transfer servers, traffic and the like so as to avoid the blocking and delay of links, which is the prior art and is not repeated.
Referring to fig. 2, the statistical module 10 according to the embodiment of the present invention includes a first obtaining unit 11, a first calculating unit 12, a first determining unit 13 and a second determining unit 14,
the first acquiring unit 11 is configured to acquire customer financial business information, where the customer financial business information includes transaction amount and loyalty;
the first calculating unit 12 is connected with the acquiring unit 11, and is used for calculating the actual financial business priority value of the customer according to the transaction amount and the loyalty;
the first determining unit 13 is connected with the calculating unit 12, and is configured to determine a financial service classification standard grade of the customer according to the actual financial service priority value and a preset standard financial service priority value;
the second determining unit 14 is connected to the first determining unit 13, and is configured to determine an object detection link according to the classification standard level.
Specifically, the statistics unit calculates the financial business priority value according to formula (1);
N＝0.6×M/M0+0.4×L (1)；
where N represents a financial transaction priority value, M represents a transaction amount, L represents loyalty, and M0 represents a total transaction amount of the current month.
Specifically, the classification of customers is based on the difference in value and contribution, and customer financial services are generally classified into the following three categories according to various factors such as transaction amount and loyalty of customers: the first class of classification criteria is typically high value customers who have a high contribution to the insurance company, a high purchase power, and a high loyalty. To maintain their loyalty and satisfaction with the insurance company. The second class rating is a medium value customer of the insurance company that has a lower contribution than the first class rating. The third classification level is a lower value customer, with the lowest contribution, and a relatively small profit.
Specifically, in the embodiment of the invention, the acquisition of the customer financial service information is realized through the first acquisition unit, the actual financial service priority value of the customer is obtained through the first calculation unit according to the transaction amount and the loyalty, the customer financial service classification standard grade is determined through the first determination unit according to the actual financial service priority value, and the purpose of determining the target detection link according to the classification standard grade is realized through the second determination unit.
Specifically, the first determining unit comprises a first setting subunit, a second setting subunit and a first judging subunit,
the first setting subunit is configured to set a first classification standard grade, a second classification standard grade and a third classification standard grade;
the second setting subunit is connected with the first setting subunit and is used for setting a standard financial service priority value;
the first judging subunit is connected with the second setting subunit and used for judging the classification standard grade according to the actual financial service priority value and the standard financial service priority value,
if the actual financial business priority value is smaller than the standard financial business priority value, the actual financial business priority value is a first classification standard grade;
if the actual financial business priority value is equal to the standard financial business priority value, the actual financial business priority value is a second classification standard grade;
if the actual financial business priority value is larger than the standard financial business priority value, the actual financial business priority value is a third classification standard grade;
wherein the first classification level < the second classification level < the third classification level.
Specifically, the standard financial service priority value is denoted as N0, and one skilled in the art can set N0 within the range of [0.6,0.8 ].
Specifically, in the embodiment of the present invention, the first judging subunit is configured to judge the classification standard grade according to the actual financial service priority value and the standard financial service priority value.
Referring to fig. 3, a schematic structural diagram of a computing module according to an embodiment of the present invention is provided, the computing module 20 includes a first setting unit 21, a detecting unit 22 and a second computing unit 23,
the first setting unit 21 is configured to set a standard detection period and set a standard data rate;
the detecting unit 22 is connected to the first setting unit 21, and is configured to detect an actual data rate of any target detection link in the standard detection period;
the second calculating unit 23 is connected to the detecting unit 22 and is configured to calculate an actual bandwidth utilization of any target detection link according to the actual data rate and the standard data rate.
Specifically, the standard detection period is denoted as T0, and one skilled in the art can set T0 within the range of [5, 10], in seconds.
In particular, when detecting the actual data rate of any target detection link within the standard detection period, the bandwidth utilization may be calculated by the formula: bandwidth utilization u=m1/Mmax calculates the bandwidth utilization of the target detection link, where M is the actual data rate of the target detection link, the dimension is Mbps, mmax is the maximum data rate of the target detection link, and the dimension is Mbps, where the maximum data rate Mmax of the target detection link can be set within the range of [100, 200] by those skilled in the art.
Specifically, the standard data rate is denoted as M0, and those skilled in the art can set the standard data rate as M0 within the range of [70, 75], in the dimension Mbps.
Specifically, the bandwidth utilization includes an upstream bandwidth utilization and a downstream bandwidth utilization.
Specifically, in the embodiment of the invention, the second calculation unit calculates the actual bandwidth utilization rate of any target detection link according to the actual data rate and the standard data rate, thereby realizing the calculation of the bandwidth utilization rate and providing support for subsequent judgment.
Specifically, the analysis module comprises a second setting unit, a second acquisition unit and a creation unit,
the second setting unit is used for setting standard bandwidth utilization rate;
the second acquisition unit is connected with the second setting unit and is used for acquiring the actual bandwidth utilization rate of each target detection link in the standard detection period;
the creation unit is connected with the second acquisition unit and used for constructing an actual bandwidth utilization rate change curve of the target detection link according to the actual bandwidth utilization rate, wherein the actual bandwidth utilization rate change curve is constructed based on the change condition of the actual bandwidth utilization rate along with time;
the judging unit is connected with the creating unit and used for judging the change trend of the actual bandwidth utilization rate change curve according to the actual bandwidth utilization rate change curve.
Specifically, in the embodiment of the invention, the purpose of judging the change trend of the actual bandwidth utilization rate change curve is achieved by utilizing the actual bandwidth utilization rate change curve by the creation unit.
Specifically, the judging unit includes a third setting subunit and a second judging subunit,
the third setting subunit is used for setting a standard average slope value;
the second judging subunit is connected with the third setting subunit and is used for comparing the positive average slope value of the actual bandwidth utilization rate change curve with a preset standard average slope value, wherein the positive average slope value is the absolute value of the actual average slope value of the actual bandwidth utilization rate change curve,
if the first judging condition is met, judging that the change trend of the actual bandwidth utilization rate change curve is an ascending change trend;
if the second judging condition is met, judging that the change trend of the actual bandwidth utilization rate change curve is a descending change trend;
the first determination condition is that the positive average slope value is equal to or greater than the standard average slope value,
the second determination condition is that the positive average slope value is less than the standard average slope value.
Specifically, in the practical application, considering that the actual bandwidth utilization is continuously changing, in any standard detection period, there is a floating change in which the actual bandwidth utilization increases and the actual bandwidth utilization decreases less, so a standard average slope value is set, and the standard average slope value is marked as L0 (Lmin, lmax) so that the changes in this range are standard changes. One skilled in the art can set the standard average slope value L0 within the range of [0.23,0.31 ].
Specifically, in the embodiment of the invention, the purpose of distinguishing the change trend of the actual bandwidth utilization rate change curve is achieved by setting the standard average slope value through the third setting subunit, and the judgment of the change trend is achieved by comparing the positive average slope value of the actual bandwidth utilization rate change curve with the preset standard average slope value through the second judging subunit.
In particular, the analysis module also comprises a third setting unit and a judging unit,
the third setting unit is used for setting standard average bandwidth utilization rate;
the judging unit is connected with the third setting unit and used for judging the class of the transit server according to the actual average bandwidth utilization rate and the standard average bandwidth utilization rate;
judging the first class transit server if the actual average bandwidth utilization rate is greater than or equal to the standard average bandwidth utilization rate;
and if the actual average bandwidth utilization ratio is smaller than the preset standard average bandwidth utilization ratio, judging that the second class transit server is used.
Specifically, the standard average bandwidth utilization is noted as U0, and one skilled in the art can set U0 to a range of [50, 55], in dimensions as a percentage.
Specifically, in the standard detection period T0, if t0=5 seconds and the bandwidth utilization rate at each time point obtained by the detection in T0 is 20%, 30%, 40%, 50%, 20%, respectively, the actual average bandwidth utilization rate is 32%.
Specifically, the number of the transfer servers is several, the transfer servers can establish a communication protocol with a plurality of servers to optimize the bandwidth utilization rate of the links served by the servers, and in practical application, a plurality of transfer servers can be set to process the access requests of the corresponding links, which is the prior art and is not described in detail.
In particular, the present invention does not limit the specific structures of the statistics module, the analysis module, the calculation module and the limitation module, and each module and the units in the module may be formed by logic components, where the logic components include a field programmable part, a computer, a microprocessor in the computer, and the like.
Specifically, the determining module determining the priority of the target detection link according to the change trend and the class of the transit server includes:
if the change trend is an ascending change trend and is a first class transit server, determining the change trend as a first priority;
if the change trend is a descending change trend and is a first class transit server, determining the change trend as a second priority;
if the change trend is an ascending change trend and is a second-class transit server, determining the change trend as a third priority;
if the change trend is a descending change trend and is a second-class transit server, determining the change trend as a fourth priority;
wherein the first priority > the second priority > the third priority > the fourth priority.
Specifically, in the embodiment of the invention, the determining module determines the priority of the target detection link according to the change trend and the class of the transit server.
Specifically, the determining module predicts a policy for the next standard to detect a week call to the transit server based on the priority includes:
determining the number of second class transfer servers required to be called by the first priority target detection link, if the second class transfer servers exist in the remaining transfer servers, continuing to call the second class transfer servers to serve the second priority target detection link, if the second class transfer servers still exist in the remaining transfer servers, continuing to call the second class transfer servers to serve the third priority target detection link, if the second class transfer servers still exist in the remaining transfer servers, continuing to call the second class transfer servers to serve the fourth priority target detection link,
wherein the number of the second class transfer servers invoked is proportional to the product of the duty ratio of the first class transfer servers and the maximum invocation parameters of the second class transfer servers.
Specifically, the maximum call parameter of the second class of transfer servers is denoted as Bmax, and the maximum call parameter of the second class of transfer servers is the total number of the second class of transfer servers.
Specifically, the number b0= [ pa×bmax ] of the called second class relay servers is set, where PA represents the duty ratio of the first class relay servers.
Referring to fig. 4, a flow chart of an operation and maintenance management method for monitoring equipment based on internet of things according to an embodiment of the present invention is shown, where the system includes:
step S100: calculating an actual financial business priority value of a customer according to the customer financial business information, determining a financial business classification standard grade of the customer according to the actual financial business priority value and a preset standard financial business priority value, and determining a plurality of target detection links according to the classification standard grade;
step S200: detecting the actual data rate of any target detection link in a standard detection period, and calculating the actual bandwidth utilization rate of any target detection link according to the actual data rate and a preset standard data rate;
step S300: judging the change trend of an actual bandwidth utilization rate change curve according to the actual bandwidth utilization rate in a standard detection period, and determining the class of the transit server according to the actual average bandwidth utilization rate and a preset standard average bandwidth utilization rate;
step S400: and determining the priority of the target detection link according to the change trend and the class of the transit server, and predicting the strategy of the next standard detection week for calling the transit server according to the priority.
Thus far, the technical solution of the present invention has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present invention is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present invention, and such modifications and substitutions will be within the scope of the present invention.
The foregoing description is only of the preferred embodiments of the invention and is not intended to limit the invention; various modifications and variations of the present invention will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. Monitoring equipment operation and maintenance management system based on thing networking, characterized by comprising:
the statistics module is used for calculating the actual financial business priority value of the customer according to the financial business information of the customer, determining the financial business classification standard grade of the customer according to the actual financial business priority value and the preset standard financial business priority value, and determining a plurality of target detection links according to the classification standard grade;
the calculation module is connected with the statistics module and used for detecting the actual data rate of any target detection link in the standard detection period and calculating the actual bandwidth utilization rate of any target detection link according to the actual data rate and the preset standard data rate;
the analysis module is connected with the calculation module and used for judging the change trend of the actual bandwidth utilization rate change curve according to the actual bandwidth utilization rate in the standard detection period and determining the class of the transit server according to the actual average bandwidth utilization rate and the preset standard average bandwidth utilization rate;
and the determining module is connected with the analyzing module and used for determining the priority of the target detection link according to the change trend and the class of the transfer server and predicting the strategy of the next standard detection week expected to call the transfer server according to the priority.
2. The operation and maintenance management system for monitoring equipment based on the Internet of things according to claim 1, wherein,
the statistical module comprises a first acquisition unit, a first calculation unit, a first determination unit and a second determination unit,
the first acquisition unit is used for acquiring customer financial business information, wherein the customer financial business information comprises transaction amount and loyalty;
the first calculating unit is connected with the first obtaining unit and used for calculating the actual financial business priority value of the customer according to the transaction amount and the loyalty;
the first determining unit is connected with the first calculating unit and is used for determining the financial business classification standard grade of the customer according to the actual financial business priority value and a preset standard financial business priority value;
the second determining unit is connected with the first determining unit and is used for determining a target detection link according to the classification standard grade.
3. The operation and maintenance management system of monitoring equipment based on the internet of things according to claim 2, wherein the statistics module calculates the financial business priority value according to formula (1);
N = 0.6×M/M0 + 0.4×L （1）；
where N represents a financial transaction priority value, M represents a transaction amount, L represents loyalty, and M0 represents a total transaction amount of the current month.
4. The operation and maintenance management system for monitoring equipment based on the Internet of things according to claim 3, wherein the first determining unit comprises a first setting subunit, a second setting subunit and a first judging subunit,
the first setting subunit is configured to set a first classification standard grade, a second classification standard grade and a third classification standard grade;
the second setting subunit is connected with the first setting subunit and is used for setting a standard financial service priority value;
the first judging subunit is connected with the second setting subunit and used for judging the classification standard grade according to the actual financial service priority value and the standard financial service priority value,
if the actual financial business priority value is smaller than the standard financial business priority value, the actual financial business priority value is a first classification standard grade;
if the actual financial business priority value is equal to the standard financial business priority value, the actual financial business priority value is a second classification standard grade;
if the actual financial business priority value is larger than the standard financial business priority value, the actual financial business priority value is a third classification standard grade;
wherein the first classification level < the second classification level < the third classification level.
5. The operation and maintenance management system for monitoring equipment based on the Internet of things according to claim 4, wherein the calculation module comprises a first setting unit, a detection unit and a second calculation unit,
the first setting unit is used for setting a standard detection period and setting a standard data rate;
the detection unit is connected with the first setting unit and is used for detecting the actual data rate of any target detection link in the standard detection period;
the second calculating unit is connected with the detecting unit and is used for calculating the actual bandwidth utilization rate of any target detecting link according to the actual data rate and the standard data rate.
6. The operation and maintenance management system for monitoring equipment based on the internet of things according to claim 5, wherein the analysis module comprises a second setting unit, a second obtaining unit, a creating unit and a first judging unit,
the second setting unit is used for setting standard bandwidth utilization rate;
the second acquisition unit is connected with the second setting unit and is used for acquiring the actual bandwidth utilization rate of each target detection link in the standard detection period;
the creation unit is connected with the second acquisition unit and used for constructing an actual bandwidth utilization rate change curve of the target detection link according to the actual bandwidth utilization rate, wherein the actual bandwidth utilization rate change curve is constructed based on the change condition of the actual bandwidth utilization rate along with time;
the first judging unit is connected with the creating unit and is used for judging the change trend of the actual bandwidth utilization rate change curve according to the actual bandwidth utilization rate change curve.
7. The operation and maintenance management system for monitoring equipment based on the internet of things according to claim 6, wherein the first judging unit comprises a third setting subunit and a second judging subunit,
the third setting subunit is used for setting a standard average slope value;
the second judging subunit is connected with the third setting subunit and is used for comparing the positive average slope value of the actual bandwidth utilization rate change curve with a preset standard average slope value, wherein the positive average slope value is the absolute value of the actual average slope value of the actual bandwidth utilization rate change curve,
if the first judging condition is met, judging that the change trend of the actual bandwidth utilization rate change curve is an ascending change trend;
if the second judging condition is met, judging that the change trend of the actual bandwidth utilization rate change curve is a descending change trend;
the first determination condition is that the positive average slope value is equal to or greater than the standard average slope value,
the second determination condition is that the positive average slope value is less than the standard average slope value.
8. The operation and maintenance management system of monitoring equipment based on the internet of things according to claim 7, wherein the analysis module further comprises a third setting unit and a second judging unit:
the third setting unit is used for setting standard average bandwidth utilization rate;
the second judging unit is connected with the third setting unit and is used for judging the class of the transit server according to the actual average bandwidth utilization rate and the standard average bandwidth utilization rate;
judging the first class transit server if the actual average bandwidth utilization rate is greater than or equal to the standard average bandwidth utilization rate;
and if the actual average bandwidth utilization rate is smaller than the preset standard average bandwidth utilization rate, judging that the second class transit server is the second class transit server.
9. The operation and maintenance management system of monitoring equipment based on the internet of things according to claim 8, wherein the determining module determining the priority of the target detection link according to the change trend and the relay server class comprises:
if the change trend is an ascending change trend and is a first class transit server, determining the change trend as a first priority;
if the change trend is a descending change trend and is a first class transit server, determining the change trend as a second priority;
if the change trend is an ascending change trend and is a second-class transit server, determining the change trend as a third priority;
if the change trend is a descending change trend and is a second-class transit server, determining the change trend as a fourth priority;
wherein the first priority > the second priority > the third priority > the fourth priority.
10. An operation and maintenance management method applied to the operation and maintenance management system of the monitoring device based on the internet of things as set forth in any one of claims 1 to 9, comprising:
calculating an actual financial business priority value of a customer according to the customer financial business information, determining a financial business classification standard grade of the customer according to the actual financial business priority value and a preset standard financial business priority value, and determining a plurality of target detection links according to the classification standard grade;
detecting the actual data rate of any target detection link in a standard detection period, and calculating the actual bandwidth utilization rate of any target detection link according to the actual data rate and a preset standard data rate;
judging the change trend of an actual bandwidth utilization rate change curve according to the actual bandwidth utilization rate in a standard detection period, and determining the class of the transit server according to the actual average bandwidth utilization rate and a preset standard average bandwidth utilization rate;
and determining the priority of the target detection link according to the change trend and the class of the transit server, and predicting the strategy of the next standard detection week for calling the transit server according to the priority.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311088586.7A CN117041106B (en) | 2023-08-28 | 2023-08-28 | Monitoring equipment operation and maintenance management system and method based on Internet of things |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311088586.7A CN117041106B (en) | 2023-08-28 | 2023-08-28 | Monitoring equipment operation and maintenance management system and method based on Internet of things |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117041106A CN117041106A (en) | 2023-11-10 |
| CN117041106B true CN117041106B (en) | 2024-02-27 |
Family
ID=88644887
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311088586.7A Active CN117041106B (en) | 2023-08-28 | 2023-08-28 | Monitoring equipment operation and maintenance management system and method based on Internet of things |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117041106B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117527911B (en) * | 2024-01-04 | 2024-03-22 | 广东信聚丰科技股份有限公司 | Virtual synchronous teaching system in 5G network environment and working method thereof |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2010204816A (en) * | 2009-03-02 | 2010-09-16 | Oki Electric Ind Co Ltd | Method, and system for managing journal data, financial terminal equipment, repeater device, and journal management server |
| CN107249038A (en) * | 2017-07-06 | 2017-10-13 | 腾讯科技（深圳）有限公司 | Business datum retransmission method and system |
| CN111679958A (en) * | 2020-06-11 | 2020-09-18 | 上海安畅网络科技股份有限公司 | Server monitoring system |
| CN113934533A (en) * | 2021-09-26 | 2022-01-14 | 度小满科技(北京)有限公司 | Service deployment method and device, storage medium and electronic equipment |
| CN115118581A (en) * | 2022-06-27 | 2022-09-27 | 广东长天思源环保科技股份有限公司 | Internet of things data full-link monitoring and intelligent security system based on 5G |
| CN116318554A (en) * | 2023-03-24 | 2023-06-23 | 苏州浪潮智能科技有限公司 | Network transmission method and device |
| CN116302582A (en) * | 2023-05-26 | 2023-06-23 | 北京固加数字科技有限公司 | Stock exchange platform load balancing control system |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9088530B2 (en) * | 2013-07-29 | 2015-07-21 | Cisco Technology, Inc. | Maximizing bottleneck link utilization under constraint of minimizing queuing delay for targeted delay-sensitive traffic |
-
2023
- 2023-08-28 CN CN202311088586.7A patent/CN117041106B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2010204816A (en) * | 2009-03-02 | 2010-09-16 | Oki Electric Ind Co Ltd | Method, and system for managing journal data, financial terminal equipment, repeater device, and journal management server |
| CN107249038A (en) * | 2017-07-06 | 2017-10-13 | 腾讯科技（深圳）有限公司 | Business datum retransmission method and system |
| CN111679958A (en) * | 2020-06-11 | 2020-09-18 | 上海安畅网络科技股份有限公司 | Server monitoring system |
| CN113934533A (en) * | 2021-09-26 | 2022-01-14 | 度小满科技(北京)有限公司 | Service deployment method and device, storage medium and electronic equipment |
| CN115118581A (en) * | 2022-06-27 | 2022-09-27 | 广东长天思源环保科技股份有限公司 | Internet of things data full-link monitoring and intelligent security system based on 5G |
| CN116318554A (en) * | 2023-03-24 | 2023-06-23 | 苏州浪潮智能科技有限公司 | Network transmission method and device |
| CN116302582A (en) * | 2023-05-26 | 2023-06-23 | 北京固加数字科技有限公司 | Stock exchange platform load balancing control system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117041106A (en) | 2023-11-10 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102144220B (en) | Distributed data processing system | |
| CN117041106B (en) | Monitoring equipment operation and maintenance management system and method based on Internet of things | |
| US7543060B2 (en) | Service managing apparatus for keeping service quality by automatically allocating servers of light load to heavy task | |
| US7356592B2 (en) | Method and apparatus for web farm traffic control | |
| US20050132051A1 (en) | System and method predicting and managing network capacity requirements | |
| CN108255671A (en) | The monitoring of the application of computer system and aposematic mechanism | |
| CN105379204A (en) | Methods and systems for selecting resources for data routing | |
| US10178241B2 (en) | Telecommunication price-based routing apparatus, system and method | |
| ur Rehman et al. | User-side QoS forecasting and management of cloud services | |
| US8209273B2 (en) | Automatically evaluating and ranking service level agreement violations | |
| CN108549981B (en) | Method for improving service quality of massive parallel business processes | |
| Hopp et al. | A simple, robust leadtime-quoting policy | |
| CN112565391A (en) | Method, apparatus, device and medium for adjusting instances in an industrial internet platform | |
| CN115660881A (en) | Monitoring method, system and medium based on commercial customer financial income and expenditure | |
| Pazour et al. | Analyzing rental vehicle threshold policies that consider expected waiting times for two customer classes | |
| CN113034076B (en) | Logistics carrier object recommendation method and device, electronic equipment and storage medium | |
| CN115658319A (en) | Resource scheduling method, system, device and storage medium | |
| US20030144927A1 (en) | System, program and method for determining optimal lot size | |
| US20220318819A1 (en) | Risk clustering and segmentation | |
| CN110472827B (en) | System policy early warning method, device, server and readable storage medium | |
| CN115002042B (en) | Special line flow control method and device based on machine learning and computer equipment | |
| CN113971081A (en) | Service optimization scheduling method, device, equipment and storage medium | |
| US20230077240A1 (en) | Service providing system, service providing method, master node, and program | |
| CN107391252A (en) | A kind of method for processing resource and device | |
| Christ et al. | On the implicit cost structure of service levels from the perspective of the service consumer |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |