CN112636974B - Communication equipment intelligent supervision system based on big data - Google Patents

Communication equipment intelligent supervision system based on big data Download PDF

Info

Publication number
CN112636974B
CN112636974B CN202011528977.2A CN202011528977A CN112636974B CN 112636974 B CN112636974 B CN 112636974B CN 202011528977 A CN202011528977 A CN 202011528977A CN 112636974 B CN112636974 B CN 112636974B
Authority
CN
China
Prior art keywords
terminal
router
value
data
connection
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
Application number
CN202011528977.2A
Other languages
Chinese (zh)
Other versions
CN112636974A (en
Inventor
陈添龙
陈凯
陈飞
金涛
陈欢
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Anhui Feikai Electronic Technology Co ltd
Original Assignee
Anhui Feikai Electronic Technology Co ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Anhui Feikai Electronic Technology Co ltd filed Critical Anhui Feikai Electronic Technology Co ltd
Priority to CN202011528977.2A priority Critical patent/CN112636974B/en
Publication of CN112636974A publication Critical patent/CN112636974A/en
Application granted granted Critical
Publication of CN112636974B publication Critical patent/CN112636974B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/08Configuration management of networks or network elements
    • H04L41/0803Configuration setting
    • H04L41/0823Configuration setting characterised by the purposes of a change of settings, e.g. optimising configuration for enhancing reliability
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/08Configuration management of networks or network elements
    • H04L41/0896Bandwidth or capacity management, i.e. automatically increasing or decreasing capacities
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00Arrangements for monitoring or testing data switching networks
    • H04L43/08Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
    • H04L43/0876Network utilisation, e.g. volume of load or congestion level
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L45/00Routing or path finding of packets in data switching networks
    • H04L45/70Routing based on monitoring results
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/02Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
    • H04L67/025Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/50Network services
    • H04L67/52Network services specially adapted for the location of the user terminal

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Environmental & Geological Engineering (AREA)
  • Data Exchanges In Wide-Area Networks (AREA)

Abstract

The invention discloses a big data-based intelligent supervision system for communication equipment, which is used for solving the problem that the existing router supervision system cannot reasonably adjust power and allocate bandwidth in combination with the use data of a router, so that a user is inconvenient to surf the internet and comprises a data acquisition module, a processor, a data storage module and a supervision analysis module; according to the invention, the usage data of the router is analyzed through the monitoring analysis module, the power monitoring value is obtained by combining the position of the terminal connected with the router and the number of partition walls, the power monitoring value is adjusted to a corresponding gear, the power of the router can be conveniently and reasonably adjusted according to the position of the connected terminal, the coverage range of the router can be further adjusted by adjusting the power of the router, the usage of a user is facilitated, meanwhile, the bandwidth of the terminal connected with the router is distributed through the internet type and the routing value of the connected terminal, and the bandwidth can be conveniently and reasonably distributed according to the internet type of the user.

Description

Communication equipment intelligent supervision system based on big data
Technical Field
The invention relates to the technical field of router supervision, in particular to a communication equipment intelligent supervision system based on big data.
Background
The communication equipment mainly introduces serial port communication for solving industrial field, professional bus type communication, industrial Ethernet communication and conversion equipment among various communication protocols, and mainly comprises equipment such as a router, a switch, a modem and the like. A router, also called a router, is a computer network device that can transmit data packets to a destination through a network, and select a transmission path of the data, which is called a route; in the practical use process, the router cannot reasonably adjust the power and the signal coverage range according to the use distance of a user, so that the router signal is not good and the use is influenced due to the fact that the user is far away from the router or the number of partition walls between the user and the router is too large;
the existing router supervision system cannot reasonably adjust power and allocate bandwidth in combination with the use data of the router, so that the user is inconvenient to surf the internet.
Disclosure of Invention
The invention aims to provide an intelligent supervision system of communication equipment based on big data in order to solve the problem that the prior router supervision system cannot reasonably adjust power and allocate bandwidth in combination with the use data of a router, so that the user is inconvenient to surf the internet; the method analyzes the use data of the router through the supervision analysis module, obtains the power supervision value by combining the position of the terminal connected with the router and the number of partition walls, adjusts the power to a corresponding gear through the power supervision value, facilitates the reasonable power adjustment of the router according to the position of the connected terminal, further adjusts the coverage of the router by adjusting the power of the router, facilitates the use of a user, and simultaneously performs bandwidth allocation on the terminal connected with the router through the internet type and the routing value of the connected terminal, thereby facilitating the reasonable bandwidth allocation according to the internet type of the user;
the purpose of the invention can be realized by the following technical scheme: an intelligent supervision system of communication equipment based on big data comprises a data acquisition module, a processor, a data storage module and a supervision analysis module;
the data acquisition module is used for acquiring the use data of the user router and sending the use data to the processor, and the processor receives the use data and then sends the use data to the data storage module for storage;
the supervision analysis module is used for acquiring the use data of the router through the processor and carrying out supervision analysis on the use data, and the specific supervision analysis steps are as follows:
the method comprises the following steps: marking a terminal connected with the router as an initial selection terminal, and indicating the terminal by a symbol i, wherein i is 1,2, … …, n; n is a positive integer;
step two: calculating the distance difference between the position of the initially selected terminal and the position of the router to obtain a transmission distance, and marking the transmission distance as M1 i; counting the number of partition walls between the initially selected terminal and the router and marking as M2 i;
step three: obtaining a routing value of the initially selected terminal, marking the routing value as M3i, marking the initially selected terminal with the routing value larger than a set threshold value as a preferred terminal, and expressing the preferred terminal by a symbol j, wherein j belongs to i;
step four: normalizing the transmission spacing and the partition number of the preferred terminal, and taking the values, and obtaining a power supervision value MZ of the router by using a formula MZ ═ Sigma (M1j × b1+ M2j × b 2); wherein, b1 and b2 are both preset power conversion coefficients;
step five: setting the power of the router into Kh gears, wherein h is 1,2, … … and 5; the power supervision range corresponding to each gear is marked as (0, k) 1 ],(k 1 ,k 2 ],(k h-1 ,k h ](ii) a When MZ ∈ (k) h-1 ,k h ]If yes, the corresponding gear of the router is Kh;
step six: setting a bandwidth value of a router as RS; setting all internet access types to correspond to a preset bandwidth value; acquiring the internet access types corresponding to the primary selection terminals, and classifying the primary selection terminals of the same internet access type into one class; counting the internet access type types of all the initially selected terminals, wherein the types are marked as Dm, m is 1,2, … …, n1 and n1 are positive integers; matching the internet type with the corresponding preset bandwidth value to obtain the corresponding preset bandwidth value and marking the preset bandwidth value as DQm; using formulas
Figure BDA0002851651160000031
Acquiring a bandwidth allocation value Fm corresponding to the type of the internet access;
step seven: acquiring all the initially selected terminals corresponding to the type types of the internet access, summing the routing values of all the initially selected terminals to obtain a total routing value, and marking the total routing value as LU; using formulas
Figure BDA0002851651160000032
Acquiring the internet access bandwidth value Hi of the primarily selected terminal;
step eight: the supervision analysis module sends a gear Kh corresponding to the router power, the IP address of the initially selected terminal and the internet access bandwidth value to the processor;
after the processor receives a gear Kh corresponding to the power of the router, the IP address and the internet bandwidth value of the primarily selected terminal, the power of the router is adjusted to the gear Kh, and then the internet bandwidth corresponding to the primarily selected terminal is adjusted to be the same as the internet bandwidth value;
the data storage module also comprises a route calculation unit which is used for calculating a route value of a terminal connected with the router, and the specific steps are as follows:
s1: acquiring a connection time period of a terminal and internet traffic of the connection time period; calculating the time difference between the connection starting time and the connection ending time to obtain the single connection duration; sequencing all connection starting moments according to the time sequence, and counting the time difference between two adjacent connection starting moments to obtain the connection interval duration; summing all the connection interval durations and taking the average value to obtain a connection interval average value which is marked as L1;
s2: summing all single connection durations of the terminals to obtain total connection duration, marking the total connection duration as L2, summing internet traffic of all connection time periods to obtain traffic sum, and marking the traffic sum as L3; carrying out normalization processing on the connection interval average value, the total connection duration and the total flow and taking the numerical values of the connection interval average value, the total connection duration and the total flow;
s3: using formulas
Figure BDA0002851651160000033
Obtaining a routing value M3 of the terminal, wherein b4, b5 and b6 are all preset proportionality coefficients; and the routing calculation unit sends the routing value to the data storage module for storage.
Preferably, the usage data includes router information of the router, and a name, a model, an IP address, a location, a connection time period, an internet traffic and an internet type of a connection time period of a terminal connected to the router; the connection time period comprises a connection starting time and a connection ending time; the router information includes the transmission signal strength of the router, the channel, and the number of router connection terminals.
Preferably, the processor is in communication connection with the server, and the processor sends the use data stored in the data storage module to the server; the server is also connected with the equipment distribution module and the information registration module; the server compresses the use data to generate a use compression packet and sends the use compression packet to the equipment distribution module, the equipment analysis module distributes and stores the use compression packet after receiving the use compression packet, and the specific steps are as follows:
SS 1: acquiring terminal data of a storage intelligent terminal, calculating a distance difference between the position of the storage intelligent terminal and the position of a router to obtain a storage space, and marking the storage intelligent terminal with the storage space smaller than a set threshold as a first terminal; marking the storage interval of the first terminal as G1;
SS 2: sending a storage and acquisition instruction to the first terminal, acquiring the residual memory of the first terminal, and marking the residual memory as G2;
SS 3: calculating the time difference between the registration time of the first terminal and the current time of the system to obtain registration duration and marking as G3;
SS 4: performing normalization processing on the residual memory, the storage space and the registration time length of the first terminal, and obtaining a terminal memory value GZ of the first terminal by using a formula GZ of 1/G1 × b7+ G2 × b8+ G3 × b9+ G4 × b 10; wherein b7, b8, b9 and b10 are all preset proportionality coefficients; g4 is the total number of times the first terminal has stored;
SS 5: and the equipment allocation module sends the use compression packet to the first terminal with the maximum end memory value for storage, and simultaneously adds one to the total storage times of the first terminal.
Preferably, the information registration module is used for submitting terminal data of the intelligent terminal for registration through the mobile phone terminal by a user and sending the terminal data which is successfully registered to the server for storage; the intelligent terminal comprises an intelligent mobile phone, an intelligent tablet, a notebook computer and a desktop computer; the terminal data comprises a position, a model and a rated memory; the server marks the intelligent terminal which is successfully registered as a storage intelligent terminal; and simultaneously, the server marks the time of receiving the terminal data as the registration time of storing the intelligent terminal.
Compared with the prior art, the invention has the beneficial effects that:
1. the monitoring analysis module acquires the use data of the router through the processor and monitors and analyzes the use data, marks the terminal connected with the router as a primary selection terminal, then normalizes the transmission interval and the partition wall number of the preferred terminal and takes the numerical value of the transmission interval and the partition wall number, and acquires the power monitoring value of the router by using a formula; when the power supervision value belongs to the power supervision range corresponding to the gear, marking the gear as the corresponding gear of the router as yes; obtaining a bandwidth allocation value corresponding to the type and the type of the internet access by using a formula; acquiring all primary selection terminals corresponding to the internet type types, and summing the routing values of all the primary selection terminals to obtain a total routing value; obtaining the internet bandwidth value of the primary selection terminal by using a formula; the supervision analysis module sends the gear corresponding to the router power, the IP address of the initially selected terminal and the internet access bandwidth value to the processor; after the processor receives the gear corresponding to the router power, the IP address and the internet access bandwidth value of the primary selection terminal, the power of the router is adjusted to the gear, and then the internet access bandwidth corresponding to the primary selection terminal is adjusted to be the same as the internet access bandwidth value; the utility model discloses a router, including the router, the position of the terminal that connects, the position of the terminal of router connection, the partition wall quantity is combined, the power supervisory value is obtained, adjust corresponding gear through the power supervisory value, make things convenient for the router according to the reasonable adjustment power in connecting terminal's position, and then adjust the coverage of router through adjustment router power, convenience of customers uses, simultaneously through the type of surfing the net and the routing value to connecting terminal, carry out bandwidth allocation to the terminal that the router is connected, the convenience is according to the reasonable distribution bandwidth of user's the type of surfing the net.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
Fig. 1 is a schematic block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, an intelligent supervision system for communication equipment based on big data includes a data acquisition module, a processor, a data storage module and a supervision analysis module;
the data acquisition module is used for acquiring the use data of the user router and sending the use data to the processor, and the processor receives the use data and then sends the use data to the data storage module for storage;
the supervision analysis module is used for acquiring the use data of the router through the processor and carrying out supervision analysis on the use data, and the specific supervision analysis steps are as follows:
the method comprises the following steps: marking a terminal connected with the router as an initial selection terminal, and indicating the terminal by a symbol i, wherein i is 1,2, … …, n; n is a positive integer;
step two: calculating the distance difference between the position of the initially selected terminal and the position of the router to obtain a transmission distance, and marking the transmission distance as M1 i; counting the number of partition walls between the initially selected terminal and the router and marking as M2 i;
step three: obtaining a routing value of the initially selected terminal, marking the routing value as M3i, marking the initially selected terminal with the routing value larger than a set threshold value as a preferred terminal, and expressing the preferred terminal by a symbol j, wherein j belongs to i;
step four: normalizing the transmission spacing and the partition number of the preferred terminal, and taking the values, and obtaining a power supervision value MZ of the router by using a formula MZ ═ Sigma (M1j × b1+ M2j × b 2); wherein, b1 and b2 are both preset power conversion coefficients; b1 is 0.79; b2 is 0.28;
step five: setting the power of the router into Kh gears, wherein h is 1,2, … … and 5; the power supervision range corresponding to each gear is marked as (0, k) 1 ],(k 1 ,k 2 ],(k h-1 ,k h ](ii) a When MZ ∈ (k) h-1 ,k h ]If yes, the corresponding gear of the router is Kh;
step six: setting a bandwidth value of a router as RS; setting all internet access types to correspond to a preset bandwidth value; acquiring the internet access types corresponding to the primary selection terminals, and classifying the primary selection terminals of the same internet access type into one class; counting the internet access type types of all the initially selected terminals, wherein the types are marked as Dm, m is 1,2, … …, n1 and n1 are positive integers; matching the internet type with the corresponding preset bandwidth value to obtain the corresponding preset bandwidth value and marking the preset bandwidth value as DQm; using formulas
Figure BDA0002851651160000071
Acquiring a bandwidth allocation value Fm corresponding to the type of the internet access;
step seven: acquiring all the initially selected terminals corresponding to the type types of the internet access, summing the routing values of all the initially selected terminals to obtain a total routing value, and marking the total routing value as LU; using formulas
Figure BDA0002851651160000072
Acquiring the internet access bandwidth value Hi of the primarily selected terminal;
step eight: the supervision and analysis module sends a gear Kh corresponding to the power of the router, the IP address of the primary selection terminal and the internet access bandwidth value to the processor;
after receiving a gear Kh corresponding to the power of the router, the IP address and the internet access bandwidth value of the primary selection terminal, the processor adjusts the power of the router to the gear Kh, and then adjusts the internet access bandwidth corresponding to the primary selection terminal to be the same as the internet access bandwidth value;
the data storage module also comprises a route calculation unit which is used for calculating a route value of a terminal connected with the router, and the specific steps are as follows:
s1: acquiring a connection time period of a terminal and internet traffic of the connection time period; calculating the time difference between the connection starting time and the connection ending time to obtain the single connection duration; sequencing all connection starting moments according to the time sequence, and counting the time difference between two adjacent connection starting moments to obtain the connection interval duration; summing all the connection interval durations and averaging to obtain a connection interval average value which is marked as L1;
s2: summing all single connection durations of the terminals to obtain total connection duration, marking the total connection duration as L2, summing internet traffic of all connection time periods to obtain traffic sum, and marking the traffic sum as L3; carrying out normalization processing on the connection interval average value, the total connection duration and the total flow and taking the numerical values of the connection interval average value, the total connection duration and the total flow;
s3: using formulas
Figure BDA0002851651160000081
Obtaining a routing value M3 of the terminal, wherein b4, b5 and b6 are all preset proportionality coefficients; the routing calculation unit sends the routing value to the data storage module for storage; the values of b4, b5 and b6 are 0.23, 0.35 and 0.47 respectively;
the using data comprises router information of the router, and the name, the model, the IP address, the position, the connection time period, the internet traffic of the connection time period and the internet type of a terminal connected with the router; the connection time period comprises a connection starting time and a connection ending time; the router information comprises the transmitting signal strength of the router, channels and the number of the router connection terminals; the online types comprise watching TV plays, playing network games, watching electronic books, swiping videos, browsing webpages and the like;
the processor is in communication connection with the server and sends the use data stored in the data storage module to the server; the server is also connected with the equipment distribution module and the information registration module; the server compresses the use data to generate a use compression packet and sends the use compression packet to the equipment distribution module, the equipment analysis module distributes and stores the use compression packet after receiving the use compression packet, and the method comprises the following specific steps:
SS 1: acquiring terminal data of a storage intelligent terminal, calculating a distance difference between the position of the storage intelligent terminal and the position of a router to obtain a storage space, and marking the storage intelligent terminal with the storage space smaller than a set threshold as a first terminal; marking the storage space of the first terminal as G1;
SS 2: sending a storage and acquisition instruction to the first terminal, acquiring the residual memory of the first terminal, and marking the residual memory as G2;
SS 3: calculating the time difference between the registration time of the first terminal and the current time of the system to obtain registration duration and marking as G3;
SS 4: performing normalization processing on the residual memory, the storage space and the registration time length of the first terminal, and obtaining a terminal memory value GZ of the first terminal by using a formula GZ of 1/G1 × b7+ G2 × b8+ G3 × b9+ G4 × b 10; wherein b7, b8, b9 and b10 are all preset proportionality coefficients; g4 is the total number of times the first terminal has stored; b7, b8, b9 and b10 take the values of 0.313, 0.185, 0.377 and 0.476 respectively;
SS 5: the device allocation module sends the use compression packet to the first terminal with the maximum end memory value for storage, and meanwhile, the total storage times of the first terminal are increased by one;
the information registration module is used for submitting terminal data of the intelligent terminal for registration through the mobile phone terminal by a user and sending the terminal data which is successfully registered to the server for storage; the intelligent terminal comprises an intelligent mobile phone, an intelligent tablet, a notebook computer and a desktop computer; the terminal data comprises a position, a model and a rated memory; the server marks the intelligent terminal which is successfully registered as a storage intelligent terminal; and simultaneously, the server marks the time of receiving the terminal data as the registration time of storing the intelligent terminal.
The above formulas are all obtained by collecting a large amount of data and performing software simulation, and the formula is selected to be close to the true value, and the coefficients in the formulas are set by the person skilled in the art according to the actual situation.
When the router is used, the supervision and analysis module is used for acquiring the use data of the router through the processor, carrying out supervision and analysis on the use data, marking the terminal connected with the router as a primary selection terminal, carrying out normalization processing on the transmission interval and the partition wall number of the preferred terminal, taking the numerical value of the normalized transmission interval and the partition wall number, and acquiring the power supervision value of the router by using a formula; when the power supervision value belongs to the power supervision range corresponding to the gear, marking the gear as the corresponding gear of the router as yes; obtaining a bandwidth allocation value corresponding to the type and the type of the internet access by using a formula; acquiring all primary selection terminals corresponding to the internet type types, and summing the routing values of all the primary selection terminals to obtain a total routing value; obtaining the internet bandwidth value Hi of the initially selected terminal by using a formula; the supervision analysis module sends a gear Kh corresponding to the router power, the IP address of the initially selected terminal and the internet access bandwidth value to the processor; after receiving a gear Kh corresponding to the power of the router, the IP address and the internet access bandwidth value of the primarily selected terminal, the processor adjusts the power of the router to the gear Kh, and then adjusts the internet access bandwidth corresponding to the primarily selected terminal to be the same as the internet access bandwidth value; the utility model discloses a router, including the router, the position of the terminal that connects, the position of the terminal of router connection, the partition wall quantity is combined, the power supervisory value is obtained, adjust corresponding gear through the power supervisory value, make things convenient for the router according to the reasonable adjustment power in connecting terminal's position, and then adjust the coverage of router through adjustment router power, convenience of customers uses, simultaneously through the type of surfing the net and the routing value to connecting terminal, carry out bandwidth allocation to the terminal that the router is connected, the convenience is according to the reasonable distribution bandwidth of user's the type of surfing the net.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms 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 utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims (4)

1. An intelligent supervision system of communication equipment based on big data is characterized by comprising a data acquisition module, a processor, a data storage module and a supervision analysis module;
the data acquisition module is used for acquiring the use data of the user router and sending the use data to the processor, and the processor receives the use data and then sends the use data to the data storage module for storage;
the supervision analysis module is used for acquiring the use data of the router through the processor and carrying out supervision analysis on the use data, and the specific supervision analysis steps are as follows:
the method comprises the following steps: marking a terminal connected with the router as an initial selection terminal, and indicating the terminal by a symbol i, wherein i is 1,2, … …, n; n is a positive integer;
step two: calculating the distance difference between the position of the initially selected terminal and the position of the router to obtain a transmission distance, and marking the transmission distance as M1 i; counting the number of partition walls between the initially selected terminal and the router and marking as M2 i;
step three: obtaining a routing value of the initially selected terminal, marking the routing value as M3i, marking the initially selected terminal with the routing value larger than a set threshold value as a preferred terminal, and expressing the preferred terminal by a symbol j, wherein j belongs to i;
step four: normalizing the transmission spacing and the partition number of the preferred terminal, and taking the values, and obtaining a power supervision value MZ of the router by using a formula MZ ═ Sigma (M1j × b1+ M2j × b 2); wherein, b1 and b2 are both preset power conversion coefficients;
step five: setting the power of the router into Kh gears, wherein h is 1,2, … … and 5; the power supervision range corresponding to each gear is marked as (0, k) 1 ],(k 1 ,k 2 ],(k h-1 ,k h ](ii) a When MZ ∈ (k) h-1 ,k h ]If yes, the corresponding gear of the router is Kh;
step six: setting a bandwidth value of a router as RS; setting all internet access types to correspond to a preset bandwidth value; obtaining the corresponding internet access type of the initially selected terminal, and initially selecting the same internet access typeEnd is classified into one type; counting the internet access type types of all the initially selected terminals, wherein the types are marked as Dm, m is 1,2, … …, n1 and n1 are positive integers; matching the internet type with the corresponding preset bandwidth value to obtain the corresponding preset bandwidth value and marking the preset bandwidth value as DQm; using a formula
Figure FDA0003595496050000021
Acquiring a bandwidth allocation value Fm corresponding to the type of the internet access;
step seven: acquiring all the initially selected terminals corresponding to the type types of the internet access, summing the routing values of all the initially selected terminals to obtain a total routing value, and marking the total routing value as LU; using formulas
Figure FDA0003595496050000022
Acquiring the internet access bandwidth value Hi of the primarily selected terminal;
step eight: the supervision analysis module sends a gear Kh corresponding to the router power, the IP address of the initially selected terminal and the internet access bandwidth value to the processor;
after the processor receives a gear Kh corresponding to the power of the router, the IP address and the internet bandwidth value of the primarily selected terminal, the power of the router is adjusted to the gear Kh, and then the internet bandwidth corresponding to the primarily selected terminal is adjusted to be the same as the internet bandwidth value;
the data storage module also comprises a route calculation unit which is used for calculating a route value of a terminal connected with the router, and the specific steps are as follows:
s1: acquiring a connection time period of a terminal and internet traffic of the connection time period; calculating the time difference between the connection starting time and the connection ending time to obtain the single connection duration; sequencing all connection starting moments according to the time sequence, and counting the time difference between two adjacent connection starting moments to obtain the connection interval duration; summing all the connection interval durations and averaging to obtain a connection interval average value which is marked as L1;
s2: summing all single connection durations of the terminals to obtain total connection duration, marking the total connection duration as L2, summing internet traffic of all connection time periods to obtain traffic sum, and marking the traffic sum as L3; carrying out normalization processing on the connection interval average value, the total connection duration and the total flow and taking the numerical values of the connection interval average value, the total connection duration and the total flow;
s3: using formulas
Figure FDA0003595496050000031
Obtaining a routing value M3 of the terminal, wherein b4, b5 and b6 are all preset proportionality coefficients; and the routing calculation unit sends the routing value to the data storage module for storage.
2. The intelligent supervision system for communication equipment based on big data according to claim 1, wherein the usage data includes router information of the router and name, model, IP address, location, connection time period, internet traffic and internet type of the connection time period of the terminal connected with the router; the connection time period comprises a connection starting time and a connection ending time; the router information includes the transmission signal strength of the router, the channel, and the number of router connection terminals.
3. The intelligent supervision system for communication equipment based on big data according to claim 1, characterized in that the processor is connected with the server in communication, and the processor sends the usage data stored in the data storage module to the server; the server is also connected with the equipment distribution module and the information registration module; the server compresses the use data to generate a use compression packet and sends the use compression packet to the equipment distribution module, and the equipment distribution module distributes and stores the use compression packet after receiving the use compression packet, and the method specifically comprises the following steps:
SS 1: acquiring terminal data of a storage intelligent terminal, calculating a distance difference between the position of the storage intelligent terminal and the position of a router to obtain a storage space, and marking the storage intelligent terminal with the storage space smaller than a set threshold as a first terminal; marking the storage space of the first terminal as G1;
SS 2: sending a storage and acquisition instruction to the first terminal, acquiring the residual memory of the first terminal, and marking the residual memory as G2;
SS 3: calculating the time difference between the registration time of the first terminal and the current time of the system to obtain registration duration and marking as G3;
SS 4: performing normalization processing on the residual memory, the storage space and the registration time length of the first terminal, and obtaining a terminal memory value GZ of the first terminal by using a formula GZ of 1/G1 × b7+ G2 × b8+ G3 × b9+ G4 × b 10; wherein b7, b8, b9 and b10 are all preset proportionality coefficients; g4 is the total number of times the first terminal has stored;
SS 5: and the equipment allocation module sends the use compression packet to the first terminal with the maximum end memory value for storage, and simultaneously adds one to the total storage times of the first terminal.
4. The intelligent supervision system for communication equipment based on big data according to claim 3, characterized in that the information registration module is used for the user to submit the terminal data of the intelligent terminal through the mobile phone terminal for registration and send the terminal data which is successfully registered to the server for storage; the intelligent terminal comprises an intelligent mobile phone, an intelligent tablet, a notebook computer and a desktop computer; the terminal data comprises a position, a model and a rated memory; the server marks the intelligent terminal which is successfully registered as a storage intelligent terminal; and simultaneously, the server marks the time when the terminal data are received as the registration time for storing the intelligent terminal.
CN202011528977.2A 2020-12-22 2020-12-22 Communication equipment intelligent supervision system based on big data Active CN112636974B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011528977.2A CN112636974B (en) 2020-12-22 2020-12-22 Communication equipment intelligent supervision system based on big data

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011528977.2A CN112636974B (en) 2020-12-22 2020-12-22 Communication equipment intelligent supervision system based on big data

Publications (2)

Publication Number Publication Date
CN112636974A CN112636974A (en) 2021-04-09
CN112636974B true CN112636974B (en) 2022-08-02

Family

ID=75321191

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011528977.2A Active CN112636974B (en) 2020-12-22 2020-12-22 Communication equipment intelligent supervision system based on big data

Country Status (1)

Country Link
CN (1) CN112636974B (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113402014B (en) * 2021-05-26 2022-04-05 安徽泓济环境科技有限公司 Positive pressure sewage and waste gas treatment integrated machine
CN117350525A (en) * 2023-12-06 2024-01-05 山东科翔智能科技有限公司 Crop growth data management decision-making system based on artificial intelligence

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101145939A (en) * 2006-09-13 2008-03-19 中兴通讯股份有限公司 Detection management method for private multicast server in broadband access network
WO2012117549A1 (en) * 2011-03-03 2012-09-07 株式会社日立製作所 Failure analysis device, and system and method for same
CN105550159A (en) * 2015-12-16 2016-05-04 广州中国科学院先进技术研究所 Power distributing method for network-on-chip of multi-core processor
CN106792616A (en) * 2017-01-24 2017-05-31 深圳企管加企业服务有限公司 Mobile terminal user's surfing flow analysis method and system
CN106851685A (en) * 2017-01-18 2017-06-13 惠州Tcl移动通信有限公司 A kind of method and system of control mobile terminal bandwidth
CN107018552A (en) * 2016-01-27 2017-08-04 南水北调中线干线工程建设管理局 A kind of method for selecting heterogeneous network access
CN107820281A (en) * 2017-11-13 2018-03-20 上海斐讯数据通信技术有限公司 A kind of method and router for distributing Internet resources
CN108966335A (en) * 2018-05-18 2018-12-07 四川斐讯信息技术有限公司 A kind of adjusting method and router of transmission power
CN109302490A (en) * 2018-11-12 2019-02-01 林昌盛威(北京)科技有限公司 Network connection control method and system, gateway, Cloud Server

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8014833B2 (en) * 2006-04-24 2011-09-06 Cisco Technology, Inc. Automatic location-based resource management for network devices
CN101729306B (en) * 2008-10-28 2012-05-23 中兴通讯股份有限公司 Method and system for testing downlink broadband of access line of broadband network user
CN101562534B (en) * 2009-05-26 2011-12-14 中山大学 Network behavior analytic system
JP5503463B2 (en) * 2010-08-30 2014-05-28 沖電気工業株式会社 Bandwidth allocation control device and bandwidth allocation control program
US20140219279A1 (en) * 2013-02-07 2014-08-07 The Royal Institution For The Advancement Of Learning / Mcgill University Methods and systems for network address lookup engines
CN104244414B (en) * 2013-06-09 2018-12-07 中国移动通信集团广东有限公司 Distribution method, device and the terminal of shared network bandwidth based on terminal
CN104917626B (en) * 2014-03-14 2018-11-16 北京众源线下信息科技有限公司 Collecting method and device in user behavior analysis
CN107087006B (en) * 2017-05-24 2019-08-16 全讯汇聚网络科技(北京)有限公司 A kind of agreement shunt method, system and server

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101145939A (en) * 2006-09-13 2008-03-19 中兴通讯股份有限公司 Detection management method for private multicast server in broadband access network
WO2012117549A1 (en) * 2011-03-03 2012-09-07 株式会社日立製作所 Failure analysis device, and system and method for same
CN105550159A (en) * 2015-12-16 2016-05-04 广州中国科学院先进技术研究所 Power distributing method for network-on-chip of multi-core processor
CN107018552A (en) * 2016-01-27 2017-08-04 南水北调中线干线工程建设管理局 A kind of method for selecting heterogeneous network access
CN106851685A (en) * 2017-01-18 2017-06-13 惠州Tcl移动通信有限公司 A kind of method and system of control mobile terminal bandwidth
CN106792616A (en) * 2017-01-24 2017-05-31 深圳企管加企业服务有限公司 Mobile terminal user's surfing flow analysis method and system
CN107820281A (en) * 2017-11-13 2018-03-20 上海斐讯数据通信技术有限公司 A kind of method and router for distributing Internet resources
CN108966335A (en) * 2018-05-18 2018-12-07 四川斐讯信息技术有限公司 A kind of adjusting method and router of transmission power
CN109302490A (en) * 2018-11-12 2019-02-01 林昌盛威(北京)科技有限公司 Network connection control method and system, gateway, Cloud Server

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
Proposal of a Transmon-based High Bandwidth Quantum Router;Dibyendu Chatterjee,Arijit Roy;《2017 4th International Conference on Opto-Electronics and Applied Optics (Optronix)》;20171103;全文 *
高性能路由器流量管理策略的研究与实现;王琳;《中国优秀硕士学位论文全文数据库》;20180515;全文 *

Also Published As

Publication number Publication date
CN112636974A (en) 2021-04-09

Similar Documents

Publication Publication Date Title
CN112636974B (en) Communication equipment intelligent supervision system based on big data
CN106130796B (en) SDN network topology traffic visualization monitoring method and control terminal
CN111405633B (en) Power communication monitoring system based on cloud computing
CN103188165B (en) A kind of router multipath exports method and the router of intelligent load equilibrium
CN106992937A (en) Jamming control method based on GARCH time series algorithms
CN107040323A (en) Multichannel power bandwidth combined distributing method in a kind of cognitive radio networks
CN112804083A (en) Network distribution method based on big data
CN106341339A (en) End-to-end network flow control method
CN113821421A (en) Server performance data acquisition method, system, device and storage medium
WO2002021741A1 (en) System and method for measuring the usage of wireless devices
CN112383543B (en) Power equipment monitoring data processing system
CN201985889U (en) Intelligent multi-service power grid access gateway
CN115277867A (en) Collector and electric power communication method and system of Modbus protocol equipment based on collector
CN114629811A (en) Operation monitoring method for industrial Ethernet communication system
CN207588899U (en) A kind of internet video live streaming live streaming router
CN207283600U (en) A kind of cloud terminal device for being used for industrial Internet of Things
CN206713081U (en) A kind of 4G Network Load Balances managing device
CN202406127U (en) Remote control system for access device of Internet of Things
CN206100010U (en) Intelligence is mutual dull and stereotyped
Lee et al. Interframe-space (IFS)-based distributed fair queuing for proportional fairness in IEEE 802.11 WLANs
CN101098293A (en) Universal packet wireless service network gateway supporting node device and fee counting method
CN212229468U (en) Intelligent cloud box of base station energy system
CN2433790Y (en) Intelligent set-top box based on telephone line
CN209402663U (en) A kind of electronic wiring frame and wiring system
CN219068381U (en) Base station and communication system

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
PE01 Entry into force of the registration of the contract for pledge of patent right

Denomination of invention: An Intelligent Supervision System for Communication Equipment Based on Big Data

Effective date of registration: 20231020

Granted publication date: 20220802

Pledgee: Agricultural Bank of China Limited Sixian sub branch

Pledgor: ANHUI FEIKAI ELECTRONIC TECHNOLOGY Co.,Ltd.

Registration number: Y2023980062023

PE01 Entry into force of the registration of the contract for pledge of patent right