CN109525338A - Network node recognition methods and device - Google Patents
Network node recognition methods and device Download PDFInfo
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- CN109525338A CN109525338A CN201811648937.4A CN201811648937A CN109525338A CN 109525338 A CN109525338 A CN 109525338A CN 201811648937 A CN201811648937 A CN 201811648937A CN 109525338 A CN109525338 A CN 109525338A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/309—Measuring or estimating channel quality parameters
- H04B17/336—Signal-to-interference ratio [SIR] or carrier-to-interference ratio [CIR]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04J—MULTIPLEX COMMUNICATION
- H04J3/00—Time-division multiplex systems
- H04J3/02—Details
- H04J3/06—Synchronising arrangements
- H04J3/0635—Clock or time synchronisation in a network
- H04J3/0638—Clock or time synchronisation among nodes; Internode synchronisation
Abstract
The invention discloses a kind of network node recognition methods and devices.Wherein, this method comprises: sending network reference time NTB array to each network node in area to be identified, wherein NTB array includes, one or more not NTB values of the predetermined quantity of the predetermined instant of the central coordinator in area on the same stage；The NTB collection value of the identical quantity at each network node acquisition moment；NTB collection value is compared with the NTB value in NTB array, in the case where the similarity of the NTB collection value of network node and NTB value reaches qualified threshold value, determines that network node belongs to Tai Qu.The technical issues of present invention solves in the related technology, and network node recognition methods accuracy rate is low, low efficiency.
Description
Technical field
The present invention relates to power domains, in particular to a kind of network node recognition methods and device.
Background technique
Old residential area, the along the street shop front and newly-built community etc. are local, distribution net platform region information update not in time etc. due to,
It causes chaotic platform area user information, inaccuracy or even lacks, seriously constrain the process of power marketing lean management.To improve
Distribution transformer utilization rate reduces line loss, needs to balance each area's load and the threephase load of platform area.Meanwhile to guarantee line loss calculation
Accuracy, Electric Power Marketing Management department need often generaI investigation platform area user information, especially subscriber board area and phase information.It is existing
There is station user identification apparatus majority based on whether PLC technology direct communication or current impulse technology identifies platform area information,
The former is since " highland altogether " " presses " cross-interference issues such as " cable ducts altogether " altogether, and carrier signal cannot be complete by transformer in practical application
Isolation, carrier signal still can be coupled to other transformers and generate across platform area's communication problem, so that the recognition accuracy of platform area is lower, it is logical
Change power line carrier, PLC transmission power and inquiry frame length are crossed to limit across the platform Qu Tongxin of carrier signal, but can not be fundamentally
It solves across the platform area of carrier signal and communicates problem；There are one on inducer for line outlet end of transformer installation current transformer, operation for the latter's needs
Determine security risk, and controllability is poor.
For above-mentioned problem, currently no effective solution has been proposed.
Summary of the invention
The embodiment of the invention provides a kind of network node recognition methods and devices, at least to solve in the related technology, net
The technical issues of network node recognition methods accuracy rate is low, low efficiency.
According to an aspect of an embodiment of the present invention, a kind of network node recognition methods is provided, comprising: to area to be identified
Each network node send network reference time NTB array, wherein NTB array includes that the central coordinator in Target Station area exists
The NTB value of the predetermined quantity of predetermined instant；Each network node is acquired at the moment, acquires the NTB of identical quantity
Collection value；The NTB collection value is compared with the NTB value in the NTB array, is acquired in the NTB of the network node
In the case that the similarity of value and the NTB value reaches qualified threshold value, determine that the network node belongs to the Target Station area.
Optionally, further includes: not up to described in the NTB collection value of the network node and the similarity of the NTB value
In the case where qualified threshold value, determine that the network node is not belonging to the Target Station area；Determination is different from the Target Station area
The area Xin Tai；Determine whether the network node belongs to the area Xin Tai；The feelings in the area Xin Tai are not belonging in the network node
Under condition, by traversing other areas, until determining the affiliated platform area of the all-network node in the area to be identified.
It optionally, include: true before sending network reference time NTB array to each network node in area to be identified
The all-network node in fixed area to be identified；Based on Signal to Noise Ratio (SNR) value list, the all-network node in the area to be identified is carried out
Networking.
Optionally, it is based on Signal to Noise Ratio (SNR) value list, the all-network node in the area to be identified, which is carried out networking, includes:
Determine the signal of the central coordinator in the received one or more platforms area of the network node；According to one or more signals
The corresponding SNR value of the central coordinator is calculated, SNR value list is established；It is corresponding by SNR value maximum in the SNR list
Central coordinator carry out networking.
Optionally, determine that the Xin Tai area different from the Target Station area includes: by the SNR value in the Target Station area, from institute
It states and is deleted in the SNR value list of network node, update the SNR value list of the network node；Determine the updated SNR value
Maximum new SNR value in list；According to the corresponding central coordinator of the maximum new SNR value, the central coordinator is determined
Corresponding area is the area Xin Tai.
Optionally, the network node is electric energy meter.
Optionally, in the case where the similarity of the NTB collection value of the network node and the NTB value reaches 90%,
Determine that the network node belongs to the Target Station area.
According to another aspect of an embodiment of the present invention, a kind of network node identification device is additionally provided, comprising: send mould
Block, for sending network reference time NTB array to each network node in area to be identified, wherein NTB array includes Target Station
The NTB value of the predetermined quantity of the central coordinator in area at the scheduled time；Acquisition module exists for acquiring each network node
The moment acquires the NTB collection value of identical quantity；Determining module is used for the NTB collection value and the NTB array
In NTB value be compared, reach qualified threshold value in the NTB collection value of the network node and the similarity of the NTB value
In the case of, determine that the network node belongs to the Target Station area.
According to another aspect of an embodiment of the present invention, a kind of storage medium is additionally provided, which is characterized in that the storage is situated between
Matter includes the program of storage, wherein equipment where controlling the storage medium in described program operation executes any among the above
Method described in one.
According to another aspect of an embodiment of the present invention, a kind of processor is additionally provided, which is characterized in that the processor is used
In operation program, wherein described program run when execute it is any one of above-mentioned described in method.
In embodiments of the present invention, network reference time NTB array is sent using to each network node in area to be identified,
Wherein, NTB array includes, one or more not NTB values of the predetermined quantity of the predetermined instant of the central coordinator in area on the same stage；Respectively
A network node acquires the NTB collection value of the identical quantity at the moment；By the NTB collection value and the NTB array
In NTB value be compared, reach qualified threshold value in the NTB collection value of the network node and the similarity of the NTB value
In the case of, it determines that the network node belongs to the mode in described area, by comparing signal-to-noise ratio size, has reached to network node
The purpose that described area is effectively identified, so that raising recognition accuracy is realized, the technical effect improved efficiency, and then solve
It has determined in the related technology, the technical issues of network node recognition methods accuracy rate is low, low efficiency.
Detailed description of the invention
The drawings described herein are used to provide a further understanding of the present invention, constitutes part of this application, this hair
Bright illustrative embodiments and their description are used to explain the present invention, and are not constituted improper limitations of the present invention.In the accompanying drawings:
Fig. 1 is a kind of flow chart of network node recognition methods according to an embodiment of the present invention；
Fig. 2 is a kind of flow chart of electric energy meter platform area's recognition methods of embodiment according to the present invention；
Fig. 3 is a kind of schematic diagram of network node identification device according to an embodiment of the present invention.
Specific embodiment
In order to enable those skilled in the art to better understand the solution of the present invention, below in conjunction in the embodiment of the present invention
Attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is only
The embodiment of a part of the invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill people
The model that the present invention protects all should belong in member's every other embodiment obtained without making creative work
It encloses.
It should be noted that description and claims of this specification and term " first " in above-mentioned attached drawing, "
Two " etc. be to be used to distinguish similar objects, without being used to describe a particular order or precedence order.It should be understood that using in this way
Data be interchangeable under appropriate circumstances, so as to the embodiment of the present invention described herein can in addition to illustrating herein or
Sequence other than those of description is implemented.In addition, term " includes " and " having " and their any deformation, it is intended that cover
Cover it is non-exclusive include, for example, the process, method, system, product or equipment for containing a series of steps or units are not necessarily limited to
Step or unit those of is clearly listed, but may include be not clearly listed or for these process, methods, product
Or other step or units that equipment is intrinsic.
Central coordinator (CCO): central coordinator, the master node roles in communication network are responsible for completion group
The functions such as network control system, network operation management, corresponding equipment entity are concentrator area communication units.
SNR (Signal Noise Radio) signal-to-noise ratio.
NTB (Network Time Base) network reference time.
According to embodiments of the present invention, a kind of embodiment of the method for network node recognition methods is provided, it should be noted that
Step shown in the flowchart of the accompanying drawings can execute in a computer system such as a set of computer executable instructions, and
It, in some cases, can be to be different from sequence execution institute herein and although logical order is shown in flow charts
The step of showing or describing.
Fig. 1 is a kind of flow chart of network node recognition methods according to an embodiment of the present invention, as shown in Figure 1, this method
Include the following steps:
Step S102 sends network reference time NTB array to each network node in area to be identified, wherein NTB array
The NTB value of the predetermined quantity of central coordinator including Target Station area at the scheduled time；
Step S104 acquires each network node at the moment, acquires the NTB collection value of identical quantity；
NTB collection value is compared, in the NTB collection value of network node by step S106 with the NTB value in NTB array
In the case where reaching qualified threshold value with the similarity of NTB value, determine that network node belongs to Target Station area.
Through the above steps, network reference time NTB array is sent using to each network node in area to be identified,
In, NTB array includes, one or more not NTB values of the predetermined quantity of the predetermined instant of the central coordinator in area on the same stage；It is each
Network node acquires the NTB collection value of the identical quantity at moment；NTB collection value is compared with the NTB value in NTB array,
In the case where the similarity of the NTB collection value of network node and NTB value reaches qualified threshold value, determine that network node belongs to Tai Qu
Mode achieved the purpose that effectively to identify network node platform area, mentioned to realize by comparing signal-to-noise ratio size
High recognition accuracy, the technical effect improved efficiency, and then solve in the related technology, network node recognition methods accuracy rate
It is low, the technical issues of low efficiency.
Above-mentioned network node recognition methods, which can be, identifies finish to which whether the network node in group net platform region identifies, passes through
Whether NTB array belongs to the platform area detected to detect the network node, and above-mentioned NTB is network reference time, in same net
Network reference time in network be it is identical, above-mentioned area be using same central coordinator carry out communication network networking area
Domain, above-mentioned area include multiple websites and a central coordinator, central coordinator and multiple websites in above-mentioned same area
Network reference time it is identical, therefore can determine whether network node belongs to test by network reference time NTB array
Platform area.
Above-mentioned area to be identified that is to say the unknown region in the affiliated platform area of network node, that is to say and needs to carry out network node
The region of identification.It determines whether network node belongs to above-mentioned area above by NTB array, can be through above-mentioned area
All-network node broadcasts NTB array of the central coordinator to area to be identified.Above-mentioned NTB array includes in the given time more
A NTB value, the central coordinator that above-mentioned NTB value can be Target Station area are broadcast to the all-network node in above-mentioned area to be identified,
After network node receives above-mentioned NTB array, the NTB collection value of the predetermined quantity of ticket reserving time is acquired, is acquired above-mentioned to be identified
The above-mentioned NTB collection value collected of the network node in area, it is whether identical by comparing above-mentioned NTB collection value and NTB value, it determines
Whether above-mentioned network node belongs to the network node in Target Station area.
It is above-mentioned whether identical according to NTB value and NTB collection value, above-mentioned NTB value and NTB collection value can be compared,
Whether both confirmations are identical, and to confirm whether network node belongs to Target Station area, but network node NTB collected is adopted
Set value and NTB value are not fully identical, therefore will appear biggish error using aforesaid way.Can also by above-mentioned NTB value and
After NTB collection value is compared, determines the similarity of the NTB value and NTB collection value that are compared, adopted in the NTB of network node
In the case that the similarity of set value and NTB value reaches qualified threshold value, determine that network node belongs to Target Station area.
Optionally, further includes: be not up to the feelings of qualified threshold value in the NTB collection value of network node and the similarity of NTB value
Under condition, determine that network node is not belonging to Target Station area；Determine the Xin Tai area different from Target Station area；Determine whether network node belongs to
The area Yu Xintai；In the case where network node is not belonging to the area Xin Tai, by traversing other areas, until determining the institute in area to be identified
There is the affiliated platform area of network node.
In the NTB collection value of above-mentioned network node and the similarity of NTB value not within above-mentioned qualified threshold range, then really
Fixed above-mentioned network node is not belonging to Target Station area, then identifies above-mentioned network section through the above steps by the platform area more renewed
Whether point belongs to the area Xin Tai, in the case where above-mentioned network node is not belonging to the above-mentioned area Xin Tai, by traversing other
Area, and above-mentioned network node recognition methods is used, determine the affiliated platform area of above-mentioned network node.The side in above-mentioned other areas of traversal
Formula can be according to certain sequence, or the modes such as randomly selects and traversed.
Optionally, to each network node in area to be identified send network reference time NTB array before comprise determining that
The all-network node of cog region；Based on Signal to Noise Ratio (SNR) value list, the all-network node in area to be identified is subjected to networking.
It carries out traversing all platform areas by above-mentioned Signal to Noise Ratio (SNR) value, first determines the all-network node in area to be identified, really
Determine the identification range of network node, be based on Signal to Noise Ratio (SNR) value list, determines the platform area identified, then pass through the above method
It determines whether network node belongs to minister's platform area, or determines the part for belonging to above-mentioned area in above-mentioned network node, it will be above-mentioned
It is not belonging to the part in minister's platform area in network node, chooses platform area again and is identified.
Optionally, it is based on Signal to Noise Ratio (SNR) value list, the all-network node in area to be identified is subjected to networking and is comprised determining that
The signal of the central coordinator in the received one or more platforms area of network node；Central co-ordination is calculated according to one or more signals
The corresponding SNR value of device, establishes SNR value list；Networking is carried out by the corresponding central coordinator of SNR value maximum in SNR list.
The central coordinator that above-mentioned SNR value list can be above-mentioned multiple areas sends signal to network node, according to upper
State the SNR value that signal calculates the central coordinator in this area, and by the corresponding SNR value of central coordinator in multiple and different platform areas
Store into SNR list.
Optionally, determine that the Xin Tai area different from Target Station area includes: by the SNR value in Target Station area, from network node
It is deleted in SNR value list, updates the SNR value list of network node；Determine maximum new SNR value in updated SNR value list；
According to the corresponding central coordinator of maximum new SNR value, determine that corresponding area of central coordinator is the area Xin Tai.
It determines that the network node in above-mentioned area to be identified does not belong to Target Station area entirely, then will not belong to the net in above-mentioned Target Station area
Network node updates are new area to be identified, update Target Station area by traversing other areas.When traversing other areas, by target
The SNR value in platform area is deleted from above-mentioned SNR value list, and updates the SNR value list of network node, is then determined updated
The corresponding central coordinator of maximum new SNR value in SNR value list, corresponding platform area is the area Xin Tai.
Optionally, network node is electric energy meter.
Above-mentioned network node can be the website of the communication network in platform area, can calculate the equipment such as concentrator with formula electric energy meter,
Electric energy meter is used in the present embodiment, it is convenient and simple, it is easily obtained, and detection.
Optionally, in the case where the similarity of the NTB collection value of network node and NTB value reaches 90%, network is determined
Node belongs to Target Station area.
The NTB collection value of above-mentioned network node can be with the qualified threshold value of the similarity of NTB value, and 60%, 65%,
70%, 75%, 80%, 85%, 90%, 95% or 98% etc., it should be noted that above-mentioned similarity is higher, is other essence
Degree is higher, and accuracy rate is higher, and specific qualification threshold value, which can be according to actual similarity, to be determined.
It should be noted that the present embodiment additionally provides a kind of optional embodiment, the embodiment is carried out below
It is described in detail.Realize that platform area identifies main following scheme in presently relevant technology:
1) compare the scheme of signal-to-noise ratio size
From power line receiving circuit identification signal or interference signal, the line identification signal or interference signal are counted
Word processing, and the digital processing results and electric energy meter identification information are sent to by electric energy meter place route by wireless channel
Determination unit.Can detect the variation of phase line or platform area that electric energy meter in power distribution network is accessed in time, improve line load statistics and
Path loss statistical accuracy has practicability.
2) compare the scheme of power frequency error similarity
In sampling time window, concentrator side and electric power meter end are obtained respectively through the synchronous zero passage point moment of oversampling clock；Meter
The time difference for calculating each zero passage point moment of concentrator side and electric power meter end, one group of time difference sequence is obtained, the time is calculated
The statistical nature of difference sequence, if statistical characteristics in values, judge concentrator and electric energy meter for the area Xiang Tongtai, it is no
Then it is judged as not area on the same stage；Alternatively, obtaining concentrator side and electric power meter end zero crossing fluctuation side respectively in sampling time window
To；Calculate the similarity in the zero crossing fluctuation direction of concentrator side and electric power meter end, if the similarity in values,
Then judge that concentrator and electric energy meter for the area Xiang Tongtai, are otherwise judged as not area on the same stage.
Fig. 2 is a kind of flow chart of electric energy meter platform area's recognition methods of embodiment according to the present invention, as shown in Fig. 2, this
Embodiment combines the advantages of scheme for comparing signal-to-noise ratio size and scheme for comparing power frequency error similarity, realizes one kind
Platform area identifying schemes based on iteration carry out the identification of platform area using the method traversed layer by layer in whole network topology.
The specific steps of which are as follows:
Step 1, all nodes of the whole network are put into area undetermined, and (area undetermined is exactly to store no accurate judgement platform area home node
Region).
Step 2, all nodes in area undetermined are based on SNR list networking, and (each node can receive one at first
Or the signal of multiple CCO, the SNR value of respective numbers can be calculated according to this signal, and the storage of these primary systems one is formed SNR column
Table), select maximum SNR value to network.
Step 3, CCO determine NTB array according to one group of NTB value at a certain moment, and by this tendency array be handed down to and this
The corresponding node of CCO success networking.
Step 4 and CCO all nodes of consolidated network all acquire with the same amount of NTB value of CCO synchronization, and
Determine corresponding NTB array.
Step 5, each node carry out similarity comparison with the NTB array of oneself and the NTB array of CCO, if similarity
It is high then be considered this TV station area；It is divided into area undetermined if similarity is low, deletes SNR value when this node networks, updates SNR column
Table.
If step 6, the quantity in area undetermined are 0, entire platform area identification process terminates, and does not continue to judge.
If the quantity of step 7, area undetermined is not 0, then corresponding SNR value in SNR list, then weighs when will tentatively network
Step 2 is carried out again to step 7, and the process entirely judged is terminated when the number of nodes until area undetermined is 0.
Present embodiment passes through laboratory simulation, and reaches in Beijing part platform area progress pilot and verifying, accuracy rate
99% or more.
According to another aspect of an embodiment of the present invention, a kind of network node identification device is additionally provided, comprising: sending module
32, acquisition module 34 and determining module 36 are below described in detail the device.
Sending module 32, for sending network reference time NTB array to each network node in area to be identified, wherein
NTB array includes the NTB value of the predetermined quantity of the central coordinator in Target Station area at the scheduled time；Acquisition module 34, and it is above-mentioned
Sending module 32 is connected, and for acquiring each network node at the moment, acquires the NTB collection value of identical quantity；
Determining module 36 is connected with above-mentioned acquisition module 34, for carrying out the NTB value in the NTB collection value and the NTB array
Compare, in the case where the similarity of the NTB collection value of the network node and the NTB value reaches qualified threshold value, determines institute
It states network node and belongs to the Target Station area.
According to another aspect of an embodiment of the present invention, a kind of storage medium is additionally provided, which is characterized in that the storage is situated between
Matter includes the program of storage, wherein equipment where controlling the storage medium in described program operation executes any among the above
Method described in one.
According to another aspect of an embodiment of the present invention, a kind of processor is additionally provided, which is characterized in that the processor is used
In operation program, wherein described program run when execute it is any one of above-mentioned described in method.
The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.
In the above embodiment of the invention, it all emphasizes particularly on different fields to the description of each embodiment, does not have in some embodiment
The part of detailed description, reference can be made to the related descriptions of other embodiments.
In several embodiments provided herein, it should be understood that disclosed technology contents can pass through others
Mode is realized.Wherein, the apparatus embodiments described above are merely exemplary, such as the division of the unit, Ke Yiwei
A kind of logical function partition, there may be another division manner in actual implementation, for example, multiple units or components can combine or
Person is desirably integrated into another system, or some features can be ignored or not executed.Another point, shown or discussed is mutual
Between coupling, direct-coupling or communication connection can be through some interfaces, the INDIRECT COUPLING or communication link of unit or module
It connects, can be electrical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
On unit.It can some or all of the units may be selected to achieve the purpose of the solution of this embodiment according to the actual needs.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of software functional units.
If the integrated unit is realized in the form of SFU software functional unit and sells or use as independent product
When, it can store in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially
The all or part of the part that contributes to existing technology or the technical solution can be in the form of software products in other words
It embodies, which is stored in a storage medium, including some instructions are used so that a computer
Equipment (can for personal computer, server or network equipment etc.) execute each embodiment the method for the present invention whole or
Part steps.And storage medium above-mentioned includes: that USB flash disk, read-only memory (ROM, Read-Only Memory), arbitrary access are deposited
Reservoir (RAM, Random Access Memory), mobile hard disk, magnetic or disk etc. be various to can store program code
Medium.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also answered
It is considered as protection scope of the present invention.
Claims (10)
1. a kind of network node recognition methods characterized by comprising
Network reference time NTB array is sent to each network node in area to be identified, wherein NTB array includes Target Station area
Central coordinator predetermined quantity at the scheduled time NTB value；
Each network node is acquired at the moment, acquires the NTB collection value of identical quantity；
The NTB collection value is compared with the NTB value in the NTB array, the network node NTB collection value with
In the case that the similarity of the NTB value reaches qualified threshold value, determine that the network node belongs to the Target Station area.
2. the method according to claim 1, wherein further include:
In the case where the similarity of the NTB collection value of the network node and the NTB value is not up to the qualified threshold value, really
The fixed network node is not belonging to the Target Station area；
Determine the Xin Tai area different from the Target Station area；
Determine whether the network node belongs to the area Xin Tai；
In the case where the network node is not belonging to the area Xin Tai, by traversing other areas, until determining described wait know
The affiliated platform area of the all-network node in other area.
3. according to the method described in claim 2, it is characterized in that, sending network to each network node in area to be identified
Include: before fiducial time NTB array
Determine the all-network node in area to be identified；
Based on Signal to Noise Ratio (SNR) value list, the all-network node in the area to be identified is subjected to networking.
4. according to the method described in claim 3, it is characterized in that, Signal to Noise Ratio (SNR) value list is based on, by the area to be identified
All-network node carries out networking
Determine the signal of the central coordinator in the received one or more platforms area of the network node；
The corresponding SNR value of the central coordinator is calculated according to one or more signals, establishes SNR value list；
Networking is carried out by the corresponding central coordinator of SNR value maximum in the SNR list.
5. according to the method described in claim 4, it is characterized in that, determining that the Xin Tai area different from the Target Station area includes:
By the SNR value in the Target Station area, is deleted from the SNR value list of the network node, update the network node
SNR value list；
Determine maximum new SNR value in the updated SNR value list；
According to the corresponding central coordinator of the maximum new SNR value, determine that corresponding area of the central coordinator is described
The area Xin Tai.
6. method as claimed in any of claims 1 to 5, which is characterized in that the network node is electric energy meter.
7. method as claimed in any of claims 1 to 5, which is characterized in that acquired in the NTB of the network node
In the case that the similarity of value and the NTB value reaches 90%, determine that the network node belongs to the Target Station area.
8. a kind of network node identification device characterized by comprising
Sending module, for sending network reference time NTB array to each network node in area to be identified, wherein NTB array
The NTB value of the predetermined quantity of central coordinator including Target Station area at the scheduled time；
Acquisition module acquires the NTB collection value of identical quantity for acquiring each network node at the moment；
Determining module, for the NTB collection value to be compared with the NTB value in the NTB array, in the network node
NTB collection value and the NTB value similarity reach qualified threshold value in the case where, determine that the network node belongs to the mesh
The area Biao Tai.
9. a kind of storage medium, which is characterized in that the storage medium includes the program of storage, wherein run in described program
When control the storage medium where equipment perform claim require any one of 1 to 7 described in method.
10. a kind of processor, which is characterized in that the processor is for running program, wherein right of execution when described program is run
Benefit require any one of 1 to 7 described in method.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112565144A (en) * | 2020-11-18 | 2021-03-26 | 国网重庆市电力公司市南供电分公司 | Station area identification method based on OFDM broadband carrier communication system |
| CN114123190A (en) * | 2021-11-30 | 2022-03-01 | 广东电网有限责任公司 | Method and device for determining target region to which ammeter belongs, electronic equipment and storage medium |
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