CN110290027A - A kind of bandwidth prediction method and system towards power distribution communication business - Google Patents

A kind of bandwidth prediction method and system towards power distribution communication business Download PDF

Info

Publication number
CN110290027A
CN110290027A CN201910635033.6A CN201910635033A CN110290027A CN 110290027 A CN110290027 A CN 110290027A CN 201910635033 A CN201910635033 A CN 201910635033A CN 110290027 A CN110290027 A CN 110290027A
Authority
CN
China
Prior art keywords
bandwidth
business
data
power distribution
randomness
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.)
Granted
Application number
CN201910635033.6A
Other languages
Chinese (zh)
Other versions
CN110290027B (en
Inventor
翟明岳
王志伟
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.)
North China Electric Power University
Original Assignee
North China Electric Power University
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 North China Electric Power University filed Critical North China Electric Power University
Priority to CN201910635033.6A priority Critical patent/CN110290027B/en
Publication of CN110290027A publication Critical patent/CN110290027A/en
Application granted granted Critical
Publication of CN110290027B publication Critical patent/CN110290027B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

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
    • H04L41/14Network analysis or design
    • H04L41/147Network analysis or design for predicting network behaviour
    • 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
    • H04L43/0894Packet rate

Landscapes

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

Abstract

The invention discloses a kind of bandwidth prediction method and system towards power distribution communication business.The described method includes: obtaining the collected power distribution network running state data of multiple sensor terminal equipment for being laid in power distribution station;Power distribution network running state data includes periodic traffic data and randomness business datum;According to power distribution network running state data, application layer transport protocol overhead data and data transmission delay, the first bandwidth is calculated;According to the first bandwidth, the quantity of sensor terminal equipment and the coincidence of business, the second bandwidth is calculated;According to the second bandwidth, third bandwidth is calculated;Third bandwidth is determined as to the prediction bandwidth of power distribution communication business.This invention simplifies bandwidth calculations, solve the problems, such as radio network gateway side randomness business and periodic traffic and deposit Time Bandwidth dyscalculia.

Description

A kind of bandwidth prediction method and system towards power distribution communication business
Technical field
The present invention relates to network bandwidth electric powder predictions, pre- more particularly to a kind of bandwidth towards power distribution communication business Survey method and system.
Background technique
With the continuous construction of information-based smart grid, the equipment accessed in intelligent power distribution communication network is also continuously increased, The scale of network also constantly expands, so that the complexity of network and isomery degree are also continuously improved, conventional electrical distribution net manages mould Formula has been unable to meet new period power distribution network growth requirement, and there is an urgent need to the advanced technologies such as deep application Internet of Things, inherently mentions Rise distribution network construction, O&M, management level.Distribution Internet of Things is that traditional industry technology and technology of Internet of things depth integration generate A kind of novel electric power network morphology realizes complete perception, data fusion and the intelligent use of power distribution network by technology of Internet of things.Match Electric network state monitoring business is in the key nodes such as public distribution transforming, feeder pillar, ring network cabinet, transmission line of electricity, switching station application low cost Intelligent recognition and cognition technology, data acquisition and monitoring management are carried out to Distribution Network Equipment and route, realize Distribution Network Equipment Data acquire and perceived entirely with state entirely, provide decision-making foundation for system intellectual analysis and control.
State of electric distribution network monitors business and traditional infrastructure class business such as power distribution automation, power information acquisition, distributed energy Source is grid-connected equal with significant difference, and extensively, typically " decimal is presented in many kinds of, substantial amounts, network communication to the distribution of monitoring terminal According to " feature, it is small that single terminal generates data volume, but conceptual data amount is big, in addition, status monitoring business need realizes that power distribution network is set The on-line real time monitoring of standby state, running environment, distribution line, electric power facility protection etc., is presented periodical and randomness business And the service feature deposited, wireless monitoring terminal had both needed timing to upload status data to monitoring main website, and also to have supported persistent state The alerting service of Threshold Crossing Alert and the emergency event of variable quantity, this proposes communication mechanism selection and terminal access protocol higher Requirement, study the communication bandwidth calculation method of business, normalization, the accuracy of flow measuring can be improved, it is at different levels to guarantee The reasonability and science of service traffics measuring and calculating and the technical system selection of communication network, avoid the waste and limitation of resource, are industry The scale of investment and construction scale of business reach more optimized, reasonable configuration.
Existing power distribution communication bandwidth calculation method, usually considers the uninterrupted of single business first, is then converging Node summarizes the flow of each business, and calculation is complicated, and there are radio network gateway side randomness business and periodic traffics simultaneously When depositing, the problem of bandwidth calculation difficulty.
Summary of the invention
Based on this, it is necessary to a kind of bandwidth prediction method and system towards power distribution communication business are provided, to simplify bandwidth It calculates, solves the problems, such as radio network gateway side randomness business and periodic traffic and deposit Time Bandwidth dyscalculia.
To achieve the above object, the present invention provides following schemes:
A kind of bandwidth prediction method towards power distribution communication business, comprising:
Obtain power distribution network running state data;The power distribution network running state data is multiple biographies by being laid in power distribution station Sensor terminal device collects;The power distribution network running state data includes periodic traffic data and randomness business number According to;The periodic traffic data are the monitoring data that power distribution station timing monitors master station transmission to power distribution network;The randomness industry Data of being engaged in are to monitor the monitoring data of master station transmission when the point being monitored of power distribution station occurs abnormal to power distribution network;
According to the power distribution network running state data, application layer transport protocol overhead data and data transmission delay, calculate First bandwidth;First bandwidth is the prediction bandwidth of the first business section;The first business section is that single sensor is whole Business section between end equipment and communication gate;
According to first bandwidth, the quantity of sensor terminal equipment and the coincidence of business, the second bandwidth is calculated;It is described Second bandwidth is the prediction bandwidth of the second business section;The second business section includes between the first equipment collection and communication gate Business section and the second equipment collection and communication gate between business section;The first equipment collection is by collection period Property business datum sensor terminal equipment constitute;The second equipment collection is whole by the sensor of acquisition randomness business datum End equipment is constituted;
According to second bandwidth, third bandwidth is calculated;The third bandwidth is the prediction bandwidth of third business section;Institute It is disconnected to state business of the third business section between all the sensors terminal device and communication gate in communication gate coverage area Face;
The third bandwidth is determined as to the prediction bandwidth of power distribution communication business.
Optionally, described to be passed according to the power distribution network running state data, application layer transport protocol overhead data and data Defeated time delay calculates the first bandwidth, specifically includes:
Calculate the first transmitted data amount and the second transmitted data amount;First transmitted data amount is the first transmission data The product of byte number and every byte bit number;Second transmitted data amount is the byte number and every byte ratio of the second transmission data The product of special number;The first transmission data include periodic traffic data and application layer transport protocol overhead data;Described Two transmission data include randomness business datum and application layer transport protocol overhead data;
Determine periodic traffic data transmission delay T1With randomness business data transmission delay T2;Wherein T1With periodicity The communication cycle of business datum is equal, T1=kT2, k > 1;
According to first transmitted data amount and the periodic traffic data transmission delay, the basic band of first terminal is calculated It is wide;The calculation formula of the first terminal primary bandwidth are as follows: first terminal primary bandwidth=(the byte number * of the first transmission data Every byte bit number)/periodic traffic data transmission delay;
It is delayed according to second transmitted data amount and the randomness business data transmission, calculates the basic band of second terminal It is wide;The calculation formula of the second terminal primary bandwidth are as follows: second terminal primary bandwidth=(the byte number * of the second transmission data Every byte bit number) delay of/randomness business data transmission;
The first terminal primary bandwidth and the second terminal primary bandwidth are determined as the first bandwidth.
Optionally, described according to first bandwidth, the quantity of sensor terminal equipment and the coincidence of business, calculate the Two bandwidth, specifically include:
Calculating cycle service bandwidth;The corresponding sensor terminal number of devices of periodic traffic bandwidth=periodic traffic Measure the coincidence of the corresponding sensor terminal equipment of * first terminal primary bandwidth * periodic traffic;
Calculate randomness service bandwidth;The corresponding sensor terminal number of devices of randomness service bandwidth=randomness business Measure the coincidence of the corresponding sensor terminal equipment of * second terminal primary bandwidth * randomness business;
The calculating cycle service bandwidth and the randomness service bandwidth are determined as the second bandwidth.
Optionally, described according to second bandwidth, third bandwidth is calculated, is specifically included:
Coincidence according to all the sensors terminal device in the second bandwidth calculation communication gate coverage area;Institute State coincidence α=f (α of all the sensors terminal device in communication gate coverage area12), α ∈ (0,1), wherein α1Table Show the coincidence of the corresponding sensor terminal equipment of the corresponding periodic traffic of the second bandwidth, α2Indicate the second bandwidth it is corresponding with The coincidence of the corresponding sensor terminal equipment of machine business;
Coincidence according to all the sensors terminal device in the communication gate coverage area calculates third bandwidth;
The third bandwidth=(the corresponding sensor terminal number of devices * first terminal primary bandwidth of periodic traffic+with The corresponding sensor terminal number of devices * second terminal primary bandwidth of machine business) all biographies in * communication gate coverage area The coincidence of sensor terminal device.
Optionally, described according to second bandwidth, third bandwidth is calculated, is specifically included:
Coincidence according to all the sensors terminal device in the second bandwidth calculation communication gate coverage area;Institute State coincidence α=f (α of all the sensors terminal device in communication gate coverage area12), α ∈ (0,1), wherein α1Table Show the coincidence of the corresponding sensor terminal equipment of the corresponding periodic traffic of the second bandwidth, α2Indicate the second bandwidth it is corresponding with The coincidence of the corresponding sensor terminal equipment of machine business;
Coincidence according to all the sensors terminal device in the communication gate coverage area calculates third bandwidth;
The third bandwidth=[(corresponding the first transmitted data amount of the sensor terminal number of devices *+k* of periodic traffic Corresponding the second transmitted data amount of sensor terminal number of devices * of randomness business)/periodic traffic data transmission delay] * is logical Believe the coincidence * redundancy coefficient * coefficient of reliability of all the sensors terminal device in gateway coverage area;
Wherein, the big of redundancy is reserved in the redundancy coefficient reaction network administration overhead, information encryption overhead and network jitter It is small;The ability of the coefficient of reliability reaction network transferring load.
The present invention also provides a kind of bandwidth prediction systems towards power distribution communication business, comprising:
Data acquisition module, for obtaining power distribution network running state data;The power distribution network running state data is by cloth It is located at what multiple sensor terminal equipment of power distribution station collected;The power distribution network running state data includes periodic traffic Data and randomness business datum;The periodic traffic data are the monitoring that power distribution station timing monitors master station transmission to power distribution network Data;The randomness business datum is to monitor the monitoring of master station transmission when the point being monitored of power distribution station occurs abnormal to power distribution network Data;
First bandwidth calculation module, for according to the power distribution network running state data, application layer transport protocol expense number According to and data transmission delay, calculate the first bandwidth;First bandwidth is the prediction bandwidth of the first business section;First industry Business section of the business section between single sensor terminal equipment and communication gate;
Second bandwidth calculation module, for according to first bandwidth, sensor terminal equipment quantity and business and Hair rate calculates the second bandwidth;Second bandwidth is the prediction bandwidth of the second business section;The second business section includes the The business section between business section and the second equipment collection and communication gate between one equipment collection and communication gate;It is described First equipment collection is made of the sensor terminal equipment of collection period business datum;The second equipment collection be by acquire with The sensor terminal equipment of machine business datum is constituted;
Third bandwidth calculation module, for calculating third bandwidth according to second bandwidth;The third bandwidth is third The prediction bandwidth of business section;The third business section be communication gate coverage area in all the sensors terminal device with Business section between communication gate;
Power distribution communication bandwidth determination module, for the third bandwidth to be determined as to the prediction bandwidth of power distribution communication business.
Optionally, first bandwidth calculation module, specifically includes:
Data volume computing unit, for calculating the first transmitted data amount and the second transmitted data amount;The first transmission number It is the byte number of the first transmission data and the product of every byte bit number according to amount;Second transmitted data amount is the second transmission number According to byte number and every byte bit number product;The first transmission data include periodic traffic data and application layer transmission Protocol overhead data;The second transmission data include randomness business datum and application layer transport protocol overhead data;
Be delayed determination unit, for determining periodic traffic data transmission delay T1It is delayed with randomness business data transmission T2;Wherein T1It is equal with the communication cycle of periodic traffic data, T1=kT2, k > 1;
First terminal primary bandwidth computing unit, for according to first transmitted data amount and the periodic traffic number According to transmission delay, first terminal primary bandwidth is calculated;The calculation formula of the first terminal primary bandwidth are as follows: first terminal is basic Bandwidth=(the every byte bit numbers of byte number * of the first transmission data)/periodic traffic data transmission delay;
Second terminal primary bandwidth computing unit, for according to second transmitted data amount and the randomness business number According to transmission delay, second terminal primary bandwidth is calculated;The calculation formula of the second terminal primary bandwidth are as follows: second terminal is basic Bandwidth=(the every byte bit numbers of byte number * of the second transmission data)/randomness business data transmission delay;
First bandwidth determination unit, for the first terminal primary bandwidth and the second terminal primary bandwidth is true It is set to the first bandwidth.
Optionally, second bandwidth calculation module, specifically includes:
Periodic traffic bandwidth calculation unit is used for calculating cycle service bandwidth;Periodic traffic bandwidth=periodicity The corresponding sensor terminal equipment of the corresponding sensor terminal number of devices * first terminal primary bandwidth * periodic traffic of business Coincidence;
Randomness service bandwidth computing unit, for calculating randomness service bandwidth;Randomness service bandwidth=randomness The corresponding sensor terminal equipment of the corresponding sensor terminal number of devices * second terminal primary bandwidth * randomness business of business Coincidence;
Second bandwidth determination unit, for the calculating cycle service bandwidth and the randomness service bandwidth is true It is set to the second bandwidth.
Optionally, the third bandwidth calculation module, specifically includes:
First computing unit, for whole according to all the sensors in the second bandwidth calculation communication gate coverage area The coincidence of end equipment;Coincidence α=f (α of all the sensors terminal device in the communication gate coverage area12), α ∈ (0,1), wherein α1Indicate the coincidence of the corresponding sensor terminal equipment of the corresponding periodic traffic of the second bandwidth, α2It indicates The coincidence of the corresponding sensor terminal equipment of the corresponding randomness business of second bandwidth;
First determination unit, for according to the concurrent of all the sensors terminal device in the communication gate coverage area Rate calculates third bandwidth;
The third bandwidth=(the corresponding sensor terminal number of devices * first terminal primary bandwidth of periodic traffic+with The corresponding sensor terminal number of devices * second terminal primary bandwidth of machine business) all biographies in * communication gate coverage area The coincidence of sensor terminal device.
Optionally, the third bandwidth calculation module, specifically includes:
Second computing unit, for whole according to all the sensors in the second bandwidth calculation communication gate coverage area The coincidence of end equipment;Coincidence α=f (α of all the sensors terminal device in the communication gate coverage area12), α ∈ (0,1), wherein α1Indicate the coincidence of the corresponding sensor terminal equipment of the corresponding periodic traffic of the second bandwidth, α2It indicates The coincidence of the corresponding sensor terminal equipment of the corresponding randomness business of second bandwidth;
Second determination unit, for according to the concurrent of all the sensors terminal device in the communication gate coverage area Rate calculates third bandwidth;
The third bandwidth=[(corresponding the first transmitted data amount of the sensor terminal number of devices *+k* of periodic traffic Corresponding the second transmitted data amount of sensor terminal number of devices * of randomness business)/periodic traffic data transmission delay] * is logical Believe the coincidence * redundancy coefficient * coefficient of reliability of all the sensors terminal device in gateway coverage area;
Wherein, the big of redundancy is reserved in the redundancy coefficient reaction network administration overhead, information encryption overhead and network jitter It is small;The ability of the coefficient of reliability reaction network transferring load.
Compared with prior art, the beneficial effects of the present invention are:
The invention proposes a kind of bandwidth prediction method and system towards power distribution communication business, are calculating the first bandwidth When, the propagation delay time characteristic of different data business is comprehensively considered, so that the bandwidth calculation of network lowermost layer is more accurate;It is counting When calculating the second bandwidth, the coincidence of different business is considered for different data business, periodic traffic terminal quantity is huge, leads to Frequently, randomness business only occurs in when equipment exception occurs or break down letter, propagation delay time is required it is high, but simultaneously Hair rate is relatively small;When calculating third bandwidth, two kinds of characteristics of propagation delay time and terminal concurrence rate have been comprehensively considered.Letter of the invention Change bandwidth calculation, solve the problems, such as radio network gateway side randomness business and periodic traffic and deposits Time Bandwidth dyscalculia; The present invention improves the normalization of flow measuring, accuracy, avoids the waste and limitation of bandwidth resources, advises the investment of business Mould and construction scale reach more optimized, reasonable configuration, provide for the planning of communication network, design, the choice of technology and the network optimization Foundation.
Detailed description of the invention
It in order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, below will be to institute in embodiment Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the invention Example, for those of ordinary skill in the art, without any creative labor, can also be according to these attached drawings Obtain other attached drawings.
Fig. 1 is the structural schematic diagram of distribution of embodiment of the present invention Internet of Things condition monitoring system;
Fig. 2 is Internet of Things of embodiment of the present invention network communication protocol architecture diagram;
Fig. 3 is distribution of embodiment of the present invention Internet of Things status monitoring operation system traffic model figure;
Fig. 4 is a kind of flow chart of the bandwidth prediction method towards power distribution communication business of the embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other Embodiment shall fall within the protection scope of the present invention.
In order to make the foregoing objectives, features and advantages of the present invention clearer and more comprehensible, with reference to the accompanying drawing and specific real Applying mode, the present invention is described in further detail.
The bandwidth prediction method towards power distribution communication business in the present embodiment is used for distribution Internet of Things condition monitoring system In.Distribution Internet of Things condition monitoring system is introduced first.Fig. 1 is the knot of distribution of embodiment of the present invention Internet of Things condition monitoring system Structure schematic diagram.Referring to Fig. 1, distribution Internet of Things condition monitoring system is made of four parts, is sensing layer, network layer, platform respectively Layer and application layer.Sensing layer is the producer of data, passes through sensor terminal equipment (sensing node) acquisition state data, network Layer realizes transmission of the data between sensing layer and podium level, and podium level, that is, monitoring system main website (monitoring center), is data Consumer realizes status data analysis, processing, storage and shares that application layer is provided and reliably answered for dispatching of power netwoks personnel and user With service, including status monitoring, distribution O&M, fault warning, fault location etc..
The sensing layer includes that multiple sensor terminal equipment acquire power distribution network running state data in real time.It is produced according to data Monitoring business is divided into periodic data business and random data business by raw mode and communication mechanism.Therefore, power distribution network is run Status data includes periodic traffic data and randomness business datum.The periodic traffic data are power distribution station timing to matching The monitoring data of power network monitoring master station transmission;The generation and transmission of the randomness business datum only occur in point being monitored appearance When data exception or occurrence of equipment failure.Periodic traffic data are the state quantity data of monitoring point, including temperature, wet Degree, smokescope, distribution line failure, distribution shaft tower tilt angle, Leakage Current value, noise decibels etc., feature is data Many kinds of, data generate stabilization, and communication is frequent;Randomness business datum is paroxysmal warning information, including periodical industry Business data continue the exception of the Threshold Crossing Alert of variable quantity, institute's inner product (leaching) water of standing alarm, the alarm of line fault electric current and station institute's door (pass) alarm is opened, feature is more demanding to real-time and precision.
Fig. 2 is Internet of Things of embodiment of the present invention network communication protocol architecture diagram.Referring to fig. 2, network communication protocol includes setting Standby layer, physical layer protocol, data link layer protocol, network layer protocol and application layer protocol.Network layer is divided into two in traffic model A part, a part are sensor terminal equipment to communication gate, and another part is communication gate to monitoring main website, the present embodiment The bandwidth prediction method towards power distribution communication business for sensor terminal equipment to the bandwidth prediction between communication gate.
Fig. 3 is that distribution of embodiment of the present invention Internet of Things status monitoring operation system traffic model figure will be sensed referring to Fig. 3 Device terminal device is to can be divided into 3 different business sections, the first business section a between communication gate1, the second business section a2, Third business section a3, the bandwidth prediction method of different business section is respectively: the state of electric distribution network based on data transmission delay Monitor terminal primary bandwidth prediction technique, random data business and periodic data service bandwidth prediction side based on coincidence Method and gateway converge bandwidth prediction technique.The bandwidth prediction method in the present embodiment towards power distribution communication business is carried out below detailed It describes in detail bright.
Fig. 4 is a kind of flow chart of the bandwidth prediction method towards power distribution communication business of the embodiment of the present invention.Referring to fig. 4, The bandwidth prediction method towards power distribution communication business of embodiment includes:
Step S1: power distribution network running state data is obtained;The power distribution network running state data is by being laid in power distribution station Multiple sensor terminal equipment collect;The power distribution network running state data includes periodic traffic data and random Property business datum.
Step S2: when according to the transmission of the power distribution network running state data, application layer transport protocol overhead data and data Prolong, calculates the first bandwidth;First bandwidth is the prediction bandwidth of the first business section.
Business section of the first business section between single sensor terminal equipment and communication gate.
First bandwidth is terminal primary bandwidth.
The step S2, specifically includes:
Calculate the first transmitted data amount and the second transmitted data amount;First transmitted data amount is the first transmission data The product of byte number and every byte bit number;Second transmitted data amount is the byte number and every byte ratio of the second transmission data The product of special number;The first transmission data include periodic traffic data and application layer transport protocol overhead data;Described Two transmission data include randomness business datum and application layer transport protocol overhead data.Application layer transport protocol overhead data Method of determination: as shown in Fig. 2, application layer protocol includes 101/104 specification of electric power, MQTT Internet of Things fidonetFido etc., it can be according to reality Application demand selects application layer communication protocol, and according to 104 specifications, protocol overhead is 21 bytes, according to MQTT agreement, agreement Minimum 9 bytes of expense.As an alternative embodiment, transmission data further include corresponding sensor identification and correspondence Monitoring time etc., these data can be adjusted according to actual monitoring precision.
Determine periodic traffic data transmission delay T1With randomness business data transmission delay T2.Due to periodic data Business is not high to requirement of real-time, as long as guaranteeing that data transmission is completed before next cycle arrival, therefore T1It is desirable Value is the communication cycle of periodic traffic data, and random data business is mostly the transmission of warning information, to requirement of real-time Height, so being constantly present such relationship: T between the two1> T2, T1=kT2, k > 1.
According to first transmitted data amount and the periodic traffic data transmission delay, the basic band of first terminal is calculated It is wide;The calculation formula of the first terminal primary bandwidth are as follows: first terminal primary bandwidth=(the byte number * of the first transmission data Every byte bit number)/periodic traffic data transmission delay.
It is delayed according to second transmitted data amount and the randomness business data transmission, calculates the basic band of second terminal It is wide;The calculation formula of the second terminal primary bandwidth are as follows: second terminal primary bandwidth=(the byte number * of the second transmission data Every byte bit number) delay of/randomness business data transmission.
The first terminal primary bandwidth and the second terminal primary bandwidth are determined as the first bandwidth.
Step S3: according to first bandwidth, the quantity of sensor terminal equipment and the coincidence of business, the second band is calculated It is wide;Second bandwidth is the prediction bandwidth of the second business section.
The second business section includes the business section and the second equipment collection between the first equipment collection and communication gate Business section between communication gate;The first equipment collection is the sensor terminal equipment by collection period business datum It constitutes;The second equipment collection is made of the sensor terminal equipment of acquisition randomness business datum.
The step S3, specifically includes:
Calculating cycle service bandwidth;The corresponding sensor terminal number of devices of periodic traffic bandwidth=periodic traffic Measure the coincidence of the corresponding sensor terminal equipment of * first terminal primary bandwidth * periodic traffic.
Calculate randomness service bandwidth;The corresponding sensor terminal number of devices of randomness service bandwidth=randomness business Measure the coincidence of the corresponding sensor terminal equipment of * second terminal primary bandwidth * randomness business.
The calculating cycle service bandwidth and the randomness service bandwidth are determined as the second bandwidth.
Step S4: according to second bandwidth, third bandwidth is calculated;The third bandwidth is the prediction of third business section Bandwidth.
The third business section be communication gate coverage area in all the sensors terminal device and communication gate it Between business section.The third bandwidth is gateway convergence bandwidth, by periodic traffic bandwidth and randomness service bandwidth group At, calculate gateway convergence bandwidth when, comprehensively consider the concurrent of all the sensors terminal device in communication gate coverage area Rate.
The step S4, specifically includes:
Coincidence according to all the sensors terminal device in the second bandwidth calculation communication gate coverage area;Institute State coincidence α=f (α of all the sensors terminal device in communication gate coverage area12), α ∈ (0,1), wherein α1Table Show the coincidence of the corresponding sensor terminal equipment of the corresponding periodic traffic of the second bandwidth, α2Indicate the second bandwidth it is corresponding with The coincidence of the corresponding sensor terminal equipment of machine business.
Coincidence according to all the sensors terminal device in the communication gate coverage area calculates third bandwidth;Institute State third bandwidth=(corresponding sensor terminal number of devices * first terminal primary bandwidth+randomness business pair of periodic traffic The sensor terminal number of devices * second terminal primary bandwidth answered) all the sensors terminal in * communication gate coverage area sets Standby coincidence.
Coincidence α can use two kinds of situations, 100% limit is concurrently and 30% normality is concurrent when real network is planned.Consider Redundancy is reserved in network management overhead, information encryption overhead, network jitter, be should be third bandwidth calculation and is added certain redundancy coefficient R and coefficient of reliability K, third bandwidth can obtain another describing mode:
The third bandwidth=[(corresponding the first transmitted data amount of the sensor terminal number of devices *+k* of periodic traffic Corresponding the second transmitted data amount of sensor terminal number of devices * of randomness business)/periodic traffic data transmission delay] * is logical Believe the coincidence * redundancy coefficient * coefficient of reliability of all the sensors terminal device in gateway coverage area;Wherein, described superfluous The size of redundancy is reserved in remaining coefficient reaction network administration overhead, information encryption overhead and network jitter;The coefficient of reliability is anti- The ability for answering network transitions to load.
Step S5: the third bandwidth is determined as to the prediction bandwidth of power distribution communication business.
The bandwidth prediction method towards power distribution communication business of the present embodiment, has comprehensively considered the transmission of different data business Delay character predicts the bandwidth of single terminal, more accurate from the bandwidth calculation of network lowermost layer;Calculating different numbers The coincidence of different business is considered when according to business;When calculating gateway convergence bandwidth, propagation delay time and terminal have been comprehensively considered Two kinds of characteristics of coincidence.The present embodiment bandwidth calculation is easier flexibly, practical;With scalability, to instructing distribution Planning, construction, the transformation of Internet of Things condition monitoring system have practical directive significance.
The present invention also provides a kind of bandwidth prediction systems towards power distribution communication business, comprising:
Data acquisition module, for obtaining power distribution network running state data;The power distribution network running state data is by cloth It is located at what multiple sensor terminal equipment of power distribution station collected;The power distribution network running state data includes periodic traffic Data and randomness business datum;The periodic traffic data are the monitoring that power distribution station timing monitors master station transmission to power distribution network Data;The randomness business datum is to monitor the monitoring of master station transmission when the point being monitored of power distribution station occurs abnormal to power distribution network Data.
First bandwidth calculation module, for according to the power distribution network running state data, application layer transport protocol expense number According to and data transmission delay, calculate the first bandwidth;First bandwidth is the prediction bandwidth of the first business section;First industry Business section of the business section between single sensor terminal equipment and communication gate.
Second bandwidth calculation module, for according to first bandwidth, sensor terminal equipment quantity and business and Hair rate calculates the second bandwidth;Second bandwidth is the prediction bandwidth of the second business section;The second business section includes the The business section between business section and the second equipment collection and communication gate between one equipment collection and communication gate;It is described First equipment collection is made of the sensor terminal equipment of collection period business datum;The second equipment collection be by acquire with The sensor terminal equipment of machine business datum is constituted.
Third bandwidth calculation module, for calculating third bandwidth according to second bandwidth;The third bandwidth is third The prediction bandwidth of business section;The third business section be communication gate coverage area in all the sensors terminal device with Business section between communication gate.
Power distribution communication bandwidth determination module, for the third bandwidth to be determined as to the prediction bandwidth of power distribution communication business.
As an alternative embodiment, first bandwidth calculation module, specifically includes:
Data volume computing unit, for calculating the first transmitted data amount and the second transmitted data amount;The first transmission number It is the byte number of the first transmission data and the product of every byte bit number according to amount;Second transmitted data amount is the second transmission number According to byte number and every byte bit number product;The first transmission data include periodic traffic data and application layer transmission Protocol overhead data;The second transmission data include randomness business datum and application layer transport protocol overhead data;
Be delayed determination unit, for determining periodic traffic data transmission delay T1It is delayed with randomness business data transmission T2;Wherein T1It is equal with the communication cycle of periodic traffic data, T1=kT2, k > 1;
First terminal primary bandwidth computing unit, for according to first transmitted data amount and the periodic traffic number According to transmission delay, first terminal primary bandwidth is calculated;The calculation formula of the first terminal primary bandwidth are as follows: first terminal is basic Bandwidth=(the every byte bit numbers of byte number * of the first transmission data)/periodic traffic data transmission delay;
Second terminal primary bandwidth computing unit, for according to second transmitted data amount and the randomness business number According to transmission delay, second terminal primary bandwidth is calculated;The calculation formula of the second terminal primary bandwidth are as follows: second terminal is basic Bandwidth=(the every byte bit numbers of byte number * of the second transmission data)/randomness business data transmission delay;
First bandwidth determination unit, for the first terminal primary bandwidth and the second terminal primary bandwidth is true It is set to the first bandwidth.
As an alternative embodiment, second bandwidth calculation module, specifically includes:
Periodic traffic bandwidth calculation unit is used for calculating cycle service bandwidth;Periodic traffic bandwidth=periodicity The corresponding sensor terminal equipment of the corresponding sensor terminal number of devices * first terminal primary bandwidth * periodic traffic of business Coincidence.
Randomness service bandwidth computing unit, for calculating randomness service bandwidth;Randomness service bandwidth=randomness The corresponding sensor terminal equipment of the corresponding sensor terminal number of devices * second terminal primary bandwidth * randomness business of business Coincidence.
Second bandwidth determination unit, for the calculating cycle service bandwidth and the randomness service bandwidth is true It is set to the second bandwidth.
As an alternative embodiment, the third bandwidth calculation module, specifically includes:
First computing unit, for whole according to all the sensors in the second bandwidth calculation communication gate coverage area The coincidence of end equipment;Coincidence α=f (α of all the sensors terminal device in the communication gate coverage area12), α ∈ (0,1), wherein α1Indicate the coincidence of the corresponding sensor terminal equipment of the corresponding periodic traffic of the second bandwidth, α2It indicates The coincidence of the corresponding sensor terminal equipment of the corresponding randomness business of second bandwidth.
First determination unit, for according to the concurrent of all the sensors terminal device in the communication gate coverage area Rate calculates third bandwidth.
The third bandwidth=(the corresponding sensor terminal number of devices * first terminal primary bandwidth of periodic traffic+with The corresponding sensor terminal number of devices * second terminal primary bandwidth of machine business) all biographies in * communication gate coverage area The coincidence of sensor terminal device.
As an alternative embodiment, the third bandwidth calculation module, specifically includes:
Second computing unit, for whole according to all the sensors in the second bandwidth calculation communication gate coverage area The coincidence of end equipment;Coincidence α=f (α of all the sensors terminal device in the communication gate coverage area12), α ∈ (0,1), wherein α1Indicate the coincidence of the corresponding sensor terminal equipment of the corresponding periodic traffic of the second bandwidth, α2It indicates The coincidence of the corresponding sensor terminal equipment of the corresponding randomness business of second bandwidth.
Second determination unit, for according to the concurrent of all the sensors terminal device in the communication gate coverage area Rate calculates third bandwidth.
The third bandwidth=[(corresponding the first transmitted data amount of the sensor terminal number of devices *+k* of periodic traffic Corresponding the second transmitted data amount of sensor terminal number of devices * of randomness business)/periodic traffic data transmission delay] * is logical Believe the coincidence * redundancy coefficient * coefficient of reliability of all the sensors terminal device in gateway coverage area.
Wherein, the big of redundancy is reserved in the redundancy coefficient reaction network administration overhead, information encryption overhead and network jitter It is small;The ability of the coefficient of reliability reaction network transferring load.
The bandwidth prediction system towards power distribution communication business of the present embodiment can simplify bandwidth calculation, solve wireless network The problem of closing side randomness business and periodic traffic and depositing Time Bandwidth dyscalculia.
For the system disclosed in the embodiment, since it is corresponded to the methods disclosed in the examples, so the ratio of description Relatively simple, reference may be made to the description of the method.
Used herein a specific example illustrates the principle and implementation of the invention, and above embodiments are said It is bright to be merely used to help understand method and its core concept of the invention;At the same time, for those skilled in the art, foundation Thought of the invention, there will be changes in the specific implementation manner and application range.In conclusion the content of the present specification is not It is interpreted as limitation of the present invention.

Claims (10)

1. a kind of bandwidth prediction method towards power distribution communication business characterized by comprising
Obtain power distribution network running state data;The power distribution network running state data is multiple sensors by being laid in power distribution station What terminal device collected;The power distribution network running state data includes periodic traffic data and randomness business datum; The periodic traffic data are the monitoring data that power distribution station timing monitors master station transmission to power distribution network;The randomness business number According to the monitoring data for monitoring master station transmission when occurring abnormal for the point being monitored of power distribution station to power distribution network;
According to the power distribution network running state data, application layer transport protocol overhead data and data transmission delay, first is calculated Bandwidth;First bandwidth is the prediction bandwidth of the first business section;The first business section is that single sensor terminal is set The standby business section between communication gate;
According to first bandwidth, the quantity of sensor terminal equipment and the coincidence of business, the second bandwidth is calculated;Described second Bandwidth is the prediction bandwidth of the second business section;The second business section includes the industry between the first equipment collection and communication gate The business section being engaged between section and the second equipment collection and communication gate;The first equipment collection is by collection period industry The sensor terminal equipment for data of being engaged in is constituted;The second equipment collection is set by the sensor terminal of acquisition randomness business datum It is standby to constitute;
According to second bandwidth, third bandwidth is calculated;The third bandwidth is the prediction bandwidth of third business section;Described Three business sections are the business section between all the sensors terminal device and communication gate in communication gate coverage area;
The third bandwidth is determined as to the prediction bandwidth of power distribution communication business.
2. a kind of bandwidth prediction method towards power distribution communication business according to claim 1, which is characterized in that it is described according to According to the power distribution network running state data, application layer transport protocol overhead data and data transmission delay, the first bandwidth, tool are calculated Body includes:
Calculate the first transmitted data amount and the second transmitted data amount;First transmitted data amount is the byte of the first transmission data Several products with every byte bit number;Second transmitted data amount is the byte number and every byte bit number of the second transmission data Product;The first transmission data include periodic traffic data and application layer transport protocol overhead data;Described second passes Transmission of data includes randomness business datum and application layer transport protocol overhead data;
Determine periodic traffic data transmission delay T1With randomness business data transmission delay T2;Wherein T1With periodic traffic The communication cycle of data is equal, T1=kT2, k > 1;
According to first transmitted data amount and the periodic traffic data transmission delay, first terminal primary bandwidth is calculated; The calculation formula of the first terminal primary bandwidth are as follows: first terminal primary bandwidth=(the every word of byte number * of the first transmission data Save bit number)/periodic traffic data transmission delay;
It is delayed according to second transmitted data amount and the randomness business data transmission, calculates second terminal primary bandwidth; The calculation formula of the second terminal primary bandwidth are as follows: second terminal primary bandwidth=(the every word of byte number * of the second transmission data Save bit number) delay of/randomness business data transmission;
The first terminal primary bandwidth and the second terminal primary bandwidth are determined as the first bandwidth.
3. a kind of bandwidth prediction method towards power distribution communication business according to claim 2, which is characterized in that it is described according to According to first bandwidth, the quantity of sensor terminal equipment and the coincidence of business, the second bandwidth is calculated, is specifically included:
Calculating cycle service bandwidth;The corresponding sensor terminal number of devices * of periodic traffic bandwidth=periodic traffic The coincidence of the corresponding sensor terminal equipment of one terminal primary bandwidth * periodic traffic;
Calculate randomness service bandwidth;The corresponding sensor terminal number of devices * of randomness service bandwidth=randomness business The coincidence of the corresponding sensor terminal equipment of two terminal primary bandwidth * randomness business;
The calculating cycle service bandwidth and the randomness service bandwidth are determined as the second bandwidth.
4. a kind of bandwidth prediction method towards power distribution communication business according to claim 3, which is characterized in that it is described according to According to second bandwidth, third bandwidth is calculated, is specifically included:
Coincidence according to all the sensors terminal device in the second bandwidth calculation communication gate coverage area;It is described logical Believe coincidence α=f (α of all the sensors terminal device in gateway coverage area12), α ∈ (0,1), wherein α1Indicate the The coincidence of the corresponding sensor terminal equipment of the corresponding periodic traffic of two bandwidth, α2Indicate the corresponding randomness of the second bandwidth The coincidence of the corresponding sensor terminal equipment of business;
Coincidence according to all the sensors terminal device in the communication gate coverage area calculates third bandwidth;
The third bandwidth=(the corresponding sensor terminal number of devices * first terminal primary bandwidth+randomness of periodic traffic The corresponding sensor terminal number of devices * second terminal primary bandwidth of business) all the sensors in * communication gate coverage area The coincidence of terminal device.
5. a kind of bandwidth prediction method towards power distribution communication business according to claim 3, which is characterized in that it is described according to According to second bandwidth, third bandwidth is calculated, is specifically included:
Coincidence according to all the sensors terminal device in the second bandwidth calculation communication gate coverage area;It is described logical Believe coincidence α=f (α of all the sensors terminal device in gateway coverage area12), α ∈ (0,1), wherein α1Indicate the The coincidence of the corresponding sensor terminal equipment of the corresponding periodic traffic of two bandwidth, α2Indicate the corresponding randomness of the second bandwidth The coincidence of the corresponding sensor terminal equipment of business;
Coincidence according to all the sensors terminal device in the communication gate coverage area calculates third bandwidth;
The third bandwidth=[(corresponding the first transmitted data amount of the sensor terminal number of devices *+k* of periodic traffic is random Corresponding the second transmitted data amount of sensor terminal number of devices * of property business)/periodic traffic data transmission delay] * communication network Close the coincidence * redundancy coefficient * coefficient of reliability of all the sensors terminal device in coverage area;
Wherein, the size of redundancy is reserved in the redundancy coefficient reaction network administration overhead, information encryption overhead and network jitter;Institute State the ability of coefficient of reliability reaction network transferring load.
6. a kind of bandwidth prediction system towards power distribution communication business characterized by comprising
Data acquisition module, for obtaining power distribution network running state data;The power distribution network running state data is by being laid in What multiple sensor terminal equipment of power distribution station collected;The power distribution network running state data includes periodic traffic data With randomness business datum;The periodic traffic data are the monitoring number that power distribution station timing monitors master station transmission to power distribution network According to;The randomness business datum is the monitoring number for monitoring master station transmission when the point being monitored of power distribution station occurs abnormal to power distribution network According to;
First bandwidth calculation module, for according to the power distribution network running state data, application layer transport protocol overhead data and Data transmission delay calculates the first bandwidth;First bandwidth is the prediction bandwidth of the first business section;First business is disconnected Business section of the face between single sensor terminal equipment and communication gate;
Second bandwidth calculation module, for according to first bandwidth, the quantity of sensor terminal equipment and the coincidence of business, Calculate the second bandwidth;Second bandwidth is the prediction bandwidth of the second business section;The second business section is set including first The business section between business section and the second equipment collection and communication gate between standby collection and communication gate;Described first Equipment collection is made of the sensor terminal equipment of collection period business datum;The second equipment collection is by acquisition randomness The sensor terminal equipment of business datum is constituted;
Third bandwidth calculation module, for calculating third bandwidth according to second bandwidth;The third bandwidth is third business The prediction bandwidth of section;The third business section be communication gate coverage area in all the sensors terminal device with communicate Business section between gateway;
Power distribution communication bandwidth determination module, for the third bandwidth to be determined as to the prediction bandwidth of power distribution communication business.
7. a kind of bandwidth prediction system towards power distribution communication business according to claim 6, which is characterized in that described One bandwidth calculation module, specifically includes:
Data volume computing unit, for calculating the first transmitted data amount and the second transmitted data amount;First transmitted data amount For the byte number of the first transmission data and the product of every byte bit number;Second transmitted data amount is the second transmission data The product of byte number and every byte bit number;The first transmission data include periodic traffic data and application layer transport protocol Overhead data;The second transmission data include randomness business datum and application layer transport protocol overhead data;
Be delayed determination unit, for determining periodic traffic data transmission delay T1With randomness business data transmission delay T2;Its Middle T1It is equal with the communication cycle of periodic traffic data, T1=kT2, k > 1;
First terminal primary bandwidth computing unit, for being passed according to first transmitted data amount and the periodic traffic data Defeated delay calculates first terminal primary bandwidth;The calculation formula of the first terminal primary bandwidth are as follows: first terminal primary bandwidth =(the every byte bit numbers of byte number * of the first transmission data)/periodic traffic data transmission delay;
Second terminal primary bandwidth computing unit, for being passed according to second transmitted data amount and the randomness business datum Defeated delay calculates second terminal primary bandwidth;The calculation formula of the second terminal primary bandwidth are as follows: second terminal primary bandwidth =(the every byte bit numbers of byte number * of the second transmission data)/randomness business data transmission delay;
First bandwidth determination unit, for the first terminal primary bandwidth and the second terminal primary bandwidth to be determined as First bandwidth.
8. a kind of bandwidth prediction system towards power distribution communication business according to claim 7, which is characterized in that described Two bandwidth calculation modules, specifically include:
Periodic traffic bandwidth calculation unit is used for calculating cycle service bandwidth;Periodic traffic bandwidth=periodic traffic The corresponding sensor terminal equipment of corresponding sensor terminal number of devices * first terminal primary bandwidth * periodic traffic and Hair rate;
Randomness service bandwidth computing unit, for calculating randomness service bandwidth;Randomness service bandwidth=randomness business The corresponding sensor terminal equipment of corresponding sensor terminal number of devices * second terminal primary bandwidth * randomness business and Hair rate;
Second bandwidth determination unit, for the calculating cycle service bandwidth and the randomness service bandwidth to be determined as Second bandwidth.
9. a kind of bandwidth prediction system towards power distribution communication business according to claim 8, which is characterized in that described Three bandwidth calculation modules, specifically include:
First computing unit, for being set according to all the sensors terminal in the second bandwidth calculation communication gate coverage area Standby coincidence;Coincidence α=f (α of all the sensors terminal device in the communication gate coverage area12), α ∈ (0,1), wherein α1Indicate the coincidence of the corresponding sensor terminal equipment of the corresponding periodic traffic of the second bandwidth, α2Indicate the The coincidence of the corresponding sensor terminal equipment of the corresponding randomness business of two bandwidth;
First determination unit, based on the coincidence according to all the sensors terminal device in the communication gate coverage area Calculate third bandwidth;
The third bandwidth=(the corresponding sensor terminal number of devices * first terminal primary bandwidth+randomness of periodic traffic The corresponding sensor terminal number of devices * second terminal primary bandwidth of business) all the sensors in * communication gate coverage area The coincidence of terminal device.
10. a kind of bandwidth prediction system towards power distribution communication business according to claim 8, which is characterized in that described Third bandwidth calculation module, specifically includes:
Second computing unit, for being set according to all the sensors terminal in the second bandwidth calculation communication gate coverage area Standby coincidence;Coincidence α=f (α of all the sensors terminal device in the communication gate coverage area12), α ∈ (0,1), wherein α1Indicate the coincidence of the corresponding sensor terminal equipment of the corresponding periodic traffic of the second bandwidth, α2Indicate the The coincidence of the corresponding sensor terminal equipment of the corresponding randomness business of two bandwidth;
Second determination unit, based on the coincidence according to all the sensors terminal device in the communication gate coverage area Calculate third bandwidth;
The third bandwidth=[(corresponding the first transmitted data amount of the sensor terminal number of devices *+k* of periodic traffic is random Corresponding the second transmitted data amount of sensor terminal number of devices * of property business)/periodic traffic data transmission delay] * communication network Close the coincidence * redundancy coefficient * coefficient of reliability of all the sensors terminal device in coverage area;
Wherein, the size of redundancy is reserved in the redundancy coefficient reaction network administration overhead, information encryption overhead and network jitter;Institute State the ability of coefficient of reliability reaction network transferring load.
CN201910635033.6A 2019-07-15 2019-07-15 Bandwidth prediction method and system for power distribution communication service Expired - Fee Related CN110290027B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910635033.6A CN110290027B (en) 2019-07-15 2019-07-15 Bandwidth prediction method and system for power distribution communication service

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910635033.6A CN110290027B (en) 2019-07-15 2019-07-15 Bandwidth prediction method and system for power distribution communication service

Publications (2)

Publication Number Publication Date
CN110290027A true CN110290027A (en) 2019-09-27
CN110290027B CN110290027B (en) 2021-01-15

Family

ID=68022950

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910635033.6A Expired - Fee Related CN110290027B (en) 2019-07-15 2019-07-15 Bandwidth prediction method and system for power distribution communication service

Country Status (1)

Country Link
CN (1) CN110290027B (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110855524A (en) * 2019-11-18 2020-02-28 南京富尔登科技发展有限公司 Method for optimizing network state in DTU distribution automation remote terminal
CN113055223A (en) * 2021-02-02 2021-06-29 国网安徽省电力有限公司宣城供电公司 Virtual information protection substation system network communication method and system based on AIMD algorithm

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103138397A (en) * 2012-11-19 2013-06-05 江西省电力科学研究院 Method of dynamic capacity increasing of distribution network lines based on technology of internet of things
CN104333490A (en) * 2014-11-20 2015-02-04 国家电网公司 Power distribution communication business bandwidth prediction method based on communication protocols
CN105071992A (en) * 2015-08-26 2015-11-18 国家电网公司 Method for predicting power distribution/utilization service communication bandwidth of transformer substation
US20160352606A1 (en) * 2014-08-07 2016-12-01 Microsoft Technology Licensing, Llc Estimating Bandwidth in a Network
US20170339057A1 (en) * 2014-04-10 2017-11-23 Level 3 Communications, Llc Network path selection using bandwidth prediction
CN109874031A (en) * 2017-12-04 2019-06-11 华平信息技术股份有限公司 Multipriority dynamic code rate method of adjustment and system based on network bandwidth prediction

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103138397A (en) * 2012-11-19 2013-06-05 江西省电力科学研究院 Method of dynamic capacity increasing of distribution network lines based on technology of internet of things
US20170339057A1 (en) * 2014-04-10 2017-11-23 Level 3 Communications, Llc Network path selection using bandwidth prediction
US20160352606A1 (en) * 2014-08-07 2016-12-01 Microsoft Technology Licensing, Llc Estimating Bandwidth in a Network
CN104333490A (en) * 2014-11-20 2015-02-04 国家电网公司 Power distribution communication business bandwidth prediction method based on communication protocols
CN105071992A (en) * 2015-08-26 2015-11-18 国家电网公司 Method for predicting power distribution/utilization service communication bandwidth of transformer substation
CN109874031A (en) * 2017-12-04 2019-06-11 华平信息技术股份有限公司 Multipriority dynamic code rate method of adjustment and system based on network bandwidth prediction

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
何清素等: "配电通信网业务断面流量分析方法", 《电力系统自动化》 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110855524A (en) * 2019-11-18 2020-02-28 南京富尔登科技发展有限公司 Method for optimizing network state in DTU distribution automation remote terminal
CN110855524B (en) * 2019-11-18 2023-05-23 南京富尔登科技发展有限公司 Method for optimizing network state in DTU distribution automation remote terminal
CN113055223A (en) * 2021-02-02 2021-06-29 国网安徽省电力有限公司宣城供电公司 Virtual information protection substation system network communication method and system based on AIMD algorithm

Also Published As

Publication number Publication date
CN110290027B (en) 2021-01-15

Similar Documents

Publication Publication Date Title
CN105515184B (en) Multisensor many reference amounts distribution synergic monitoring system based on wireless sensor network
Khan et al. A comprehensive review of the application characteristics and traffic requirements of a smart grid communications network
CN102496072B (en) System for estimating distributive state of intelligent transformer station
CN214228280U (en) Edge internet of things agent equipment
CN105471656B (en) A kind of abstract method for automatic system of intelligent transformer station O&M information model
CN110401262A (en) GIS device state intelligent monitoring system and method based on edge calculations technology
US9768613B2 (en) Layered and distributed grid-specific network services
CN111371185A (en) Line loss monitoring system and method based on distribution transformer terminal
CN103597707A (en) Distributed intelligence architecture with dynamic reverse/forward clouding
CN104065701B (en) Nuclear power plant equipment monitoring system based on wireless-aware network
CN105372534A (en) Multi-sensor multi-parameter information intelligent integration system
CN103038606A (en) Intelligent core engine
JP2013535730A (en) Machine, computer program product, and computer-implemented method for providing an integrated node for data collection and control
CN104715596A (en) Method for transmitting data in transformer station
CN103926896A (en) Underground explosive-proof power source monitoring system and method based on network
CN104333490A (en) Power distribution communication business bandwidth prediction method based on communication protocols
CN110290027A (en) A kind of bandwidth prediction method and system towards power distribution communication business
JP2023506618A (en) Distribution system with a network of smart meters
CN201600585U (en) Distribution type coal mine production and safety information monitoring system
Pan et al. Edge-cloud computing application, architecture, and challenges in ubiquitous power Internet of Things demand response
CN104503417B (en) A kind of Hydropower Station Monitor system
CN101458504B (en) Digital synthesis protection observe and control unit of multipath operation mode
Landolsi et al. Wireless distributed load-shedding management system for non-emergency cases
Malandra et al. Impact of PMU and smart meter applications on the performance of LTE-based smart city communications
Choi et al. Data aggregation using temporal and spatial correlations in Advanced Metering Infrastructure

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
CF01 Termination of patent right due to non-payment of annual fee
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20210115

Termination date: 20210715