CN108599975A - a kind of intelligent building management system - Google Patents
a kind of intelligent building management system Download PDFInfo
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- CN108599975A CN108599975A CN201810098049.3A CN201810098049A CN108599975A CN 108599975 A CN108599975 A CN 108599975A CN 201810098049 A CN201810098049 A CN 201810098049A CN 108599975 A CN108599975 A CN 108599975A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/14—Network analysis or design
- H04L41/145—Network analysis or design involving simulating, designing, planning or modelling of a network
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
- H04L67/1004—Server selection for load balancing
- H04L67/1008—Server selection for load balancing based on parameters of servers, e.g. available memory or workload
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/104—Peer-to-peer [P2P] networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
Abstract
The invention belongs to intelligent building technical fields, disclose a kind of intelligent building management system, including central monitoring system, the wireless entrance guard subsystem, air conditioning subsystem, elevator automatic control subsystem, illumination subsystems, change distribution subsystem, discharge water subsystem, security protection subsystem, garage management subsystem, TV monitoring and controlling subsystem, environmental monitoring subsystem, the smart home subsystem that respectively connected with central monitoring system.The present invention gives subsystems and central monitoring system to power respectively by power supply system；The systems technology is advanced, economical and practical, securely and reliably, superior in quality, is widely used；Emulation experiment and data of the present invention the result shows that, HP2P method for balancing network load has well solved between HP2P network groups and in group the problem of laod unbalance.Such as the invention is applied in the network based on HP2P, the performance of the network software based on HP2P will be greatly promoted.
Description
Technical field
The invention belongs to intelligent building technical field more particularly to a kind of intelligent building management systems.
Background technology
Currently, with the continuous development of society, home safety is the basis that people live and work in peace and contentment, and the harmonious society that builds together
Important link.Residential block especially more dispersed, more remote, environment is relatively complicated, security situation allow of no optimist,
Traditional entrance guard needs on duty for not adapted to house safety guarantee under the new situation with security administration means such as security guard patrols.
Therefore, in order to meet the needs of residential quarters user security and scientific system management, and in order to at any time there is a situation where
Comprehensively, understand and grasp in time, can make accurate judgment rapidly to fortuitous event, and provide it is correct, rapidly command
And processing.An intelligent building management system is established, realizes and some harm and hidden danger is contained in budding state, prevents property damage
It loses, ensure human life's safety, for structure safety, harmonious residential quarters, have a very important significance.However, at present
Existing intelligent building management system is primarily present following deficiency：It is expensive, it is not suitble to the needs of ordinary residence cell again
The intelligent building management system that can be popularized energetically.It cannot achieve the common of information between subsystems so that manager is to building
Space can not carry out Centralized Monitoring when being managed to the subsystems in building, and management cost is higher, and management is inefficient.System joins
Dynamic property is poor, incomplete, not comprehensive enough, and controlling mechanism is complex, and the reaction time is long, inconvenient for use.Common gate inhibition
For identification card using Radio Frequency Identification Technology, general identification distance is very short, and user needs just can be with close to induction zone by access card
By verification, this has many inconvenience in actual application.
In recent years, with the rapid development of point to point network technology, based on point-to-point (Peer-to-Peer, abbreviation
P2P) software of network technology receives the favor of a large amount of Internet users.In building management the problem of network management of balance increasingly
It is prominent；The prior art is only solved by increasing transmission power；But cause the waste of resource；It cannot effectively be put down in use
Weighing apparatus.
A network software such as sudden peal of thunder, Tencent QQ, PPTV, KuGoo music etc. of present some domestic contrasts prevalence all employs
P2P network technologies.In P2P network softwares, since user is to the lack of uniformity and network Computer ability of resource requirement
Isomerism so that the phenomenon that node (computer in P2P networks) laod unbalance is always existed in P2P networks.And it is close
With the rapid growth of P2P network software users over year, the phenomenon that nodes laod unbalance, is more apparent, and then causes
The problems such as request delay, network congestion, has seriously affected the overall performance of P2P networks.
Currently, structured P 2 P network field is concentrated mainly on for the research of P2P network load balancing problems, and
Through there are some more representational methods for solving the problems, such as this.Such as virtual server approach (Virtual
Server), selection method (Power ofTwo Choices), address space balance method (Address-Space are wished in Doha
Balancing), storage file balance method (Item Balancing).Wherein：
Virtual server approach：In P2P networks, each physical node virtually turns to multiple virtual servers, Mei Gexu
Quasi- server separately maintains a sector address space.Each virtual server is owned by oneself independent routing table and data object,
When needing to position data object, the process of positioning is initiated on virtual server, rather than in actual section
On point.It is minimum load migration unit with virtual server when node overload occurs or kicks the beam.Pass through
Dummy node " leaving network " on one physical node, while in another physical node, the dummy node weight of " leaving "
It is new that network is added, the responsible data object of the dummy node is finally received, the migration of load is completed.Due to each virtual server
It is required for safeguarding the routing table of itself, needs to safeguard multiple routing tables so this is equivalent to a physical node, this will waste big
Measure bandwidth.Simultaneously as a physical node has managed multiple virtual servers in P2P networks, so when a physics section
When point is added or leaves network, multiple virtual servers have been equivalent to it and have been added or leave network, this will greatly increase trembling for network
Dynamic, this will cause fatal influence to the originally poor structured P 2 P network of stability.
Wish selection method in Doha：This method hypothesis has d>=2 well-known hash function h1 () ..., hd ().When
When a node needs to increase a resource x into network in structured P 2 P network, which will be according to d hash function
Resource x calculates d cryptographic Hash h1 (x) ..., hd (x).Then the node will be to being responsible for safeguarding this d in structured P 2 P network
The node of a cryptographic Hash inquires their current loading conditions, and the node A of a most lightly loaded is selected from this d node
It is responsible for safeguarding the index of resource x, while in addition d-1 node will store a pointer for being directed toward node A.It is every in network simultaneously
A node all has there are one load triggers device, and when the load excessive of a node, trigger event will be triggered.Trigger thing
Part selects the resource index to be migrated, and then these resources are transferred to resource index in a manner of rejoining network
On other nodes.
Address space balance method：This method assumes that each node in network has O in structured P 2 P network
(logN) a potential ID, but ID is active there are one a times.Node is according to the negative of current whole network
The migration for carrying situation to determine oneself ID to complete between load, to realize the load balance of P2P networks.
Non-structural P2P networks based on flooding and the structured P 2 P network based on distributed hashtable (DHT) are current
The popular P2P networks of P2P application fields.Wherein, non-structural P 2 P network structure is relatively simple, easy to implement, and stablizes
Property is very high, but its network load is high, and scalability is poor；Structural P 2 P network network load is small, and search efficiency is high, still
Its stability is poor.Hybrid multilayer P2P networks (Hybrid Hierarchical P2PNetwork, abbreviation HP2P) combine
The advantage of structural P 2 P and non-structural P 2 P respectively, obtained it is a kind of it is stable high, search efficiency is high, expansible preferable new
Type P2P networks.
In HP2P, node in network carries out tissue first, in accordance with the mode of group (Cluster), and the inside of group uses non-
Flooding mode in structured P 2 P network carries out message transmission.It is made of a small amount of super node and a large amount of ordinary nodes in group.Group
Between using improved Chord agreement organizations at a structured P 2 P network.Each group on Chord as one virtually
Node exists, and the routing table of dummy node is safeguarded jointly by several super nodes in group.And ordinary node and upper layer in group
The communication of Chord networks is required for helping by these super nodes and forward.
Due to the particularity of HP2P network topology structures, so the balancing method of loads of current structured P 2 P network is all
It can not solve the problems, such as load balance between HP2P network groups.Simultaneously because the isomerism of group's interior nodes ability and needing to safeguard net
The metadata (index of resource) of other nodes publication in network, thus in group the load balance problem of network with it is traditional non-structural
Change P2P network load balancing problems to be very different.
Since the noise circumstance of space communication is complicated and changeable and interference problem getting worse, signal are easily affected by it and are in
Existing faint state.Therefore, the Detection and Parameter Estimation for improving small-signal under Low SNR in deep space communication is at present urgently
Problem to be solved.Psk signal be phase-modulation, constant amplitude digital modulation signals, since it has strong antijamming capability
And pulse pressure can be widely used in often as the signal type generally used in communication with the advantage of the bandwidth of broadened signal
In the transmitting of contracting signal.
But the prior art estimates that signal capabilities are poor.
In conclusion problem of the existing technology is：It is expensive, it is not suitble to the needs and energy of ordinary residence cell
The intelligent building management system popularized energetically.It cannot achieve the common of information between subsystems so that manager is to building
Centralized Monitoring can not be carried out to the subsystems in building, management cost is higher, and management is inefficient when being managed.System interlink
Property it is poor, incomplete, not comprehensive enough, controlling mechanism is complex, and the reaction time is long, inconvenient for use.Common gate inhibition knows
Do not block using Radio Frequency Identification Technology, general identification distance is very short, and user needs close to induction zone can just lead to access card
Verification is crossed, this has many inconvenience in actual application.
Invention content
In view of the problems of the existing technology, the present invention provides a kind of intelligent building management systems.
The invention is realized in this way a kind of intelligent building management system, including central monitoring system, with central monitoring system
The wireless entrance guard subsystem that respectively connected, air conditioning subsystem, elevator automatic control subsystem, illumination subsystems, change unite with Department of Electronics
System, discharge water subsystem, security protection subsystem, garage management subsystem, TV monitoring and controlling subsystem, environmental monitoring subsystem, intelligence
Household subsystem.Subsystems are wirelessly connected by Ethernet and central monitoring system.Each height is given respectively by power supply system
System and central monitoring system power supply.
The security protection subsystem is integrated with building HP2P network load balancing module and to PSK under network signal partition noise
The estimating carrier frequencies module of signal；The building HP2P network load balancing module and estimating carrier frequencies module with center
Monitoring system is wirelessly connected；
The building HP2P method for balancing network load of the building HP2P network load balancing modules includes：
1) between HP2P network groups load balance method：By group division and group address space movement come reality
Load transfer between existing group, and be added by new node and to load larger group and induce mass-sending is estranged to split and merge, make load compared with
Big address space group's number increases, and the smaller address space group's number of load is reduced, wherein load is defined as this group of interior joints
The average number of processing message required for unit interval；
2) method of load balance makes by super node to loading efficient scheduling in group in group in HP2P network groups
The lower node of load factor finds the higher node of load factor in group, wherein according to HP2P network characteristics, load approximation is defined as
The metadata number safeguarded required for group's interior nodes, load factor are defined as the ratio of load and node capacity, and the metadata
For the index of resource；
The carrier frequency estimating method to psk signal under network signal partition noise of the estimating carrier frequencies module
In, psk signal is signal in HP2P networks；It specifically includes：
Cycle covariant function is asked to the psk signal containing partition noise of reception；
Fourier transformation is carried out to the cycle covariant function, it is asked to recycle co-variation spectrum；
Pass through the section of the cycle co-variation spectrum extraction cycle frequency ε=0Hz；
The peak value for searching for the positive and negative semiaxis in the section finds the corresponding positive negative frequency value of the peak value, and takes absolute value
The estimated value averaged afterwards as carrier frequency.
Further, the method for load balance includes between the HP2P network groups：
The super node S of step (1) group A is randomly to klog around2N number of pocket transmission group load requests message obtains
The klog2N number of group of load information, and by calculating this klog2N number of group of load mean value is current whole to estimate
The group mean of a HP2P networks loads Loadavg, wherein k is one in section [1, N/log2N] value integer, N is network
The number of middle group；
Step (2) is if group A present load Load ＞ γ Loadavg, and two groupuscule interior joint numbers that group splits into are equal
More than HP2P network group low-bound of node number, then the group is split into two groups, wherein γ is a real number more than 1, HP2P
This execution of the method for load balance terminates between network group；Otherwise step (A3) is gone to；
Step (3) build HP2P networks in Chord rings, group A to its forerunner group and subsequent pocket transmission load requests message, from
And the current load situation of forerunner group and subsequent group is obtained, wherein forerunner group is that A is peeled off in HP2P network C hord rings recently
Previous group, subsequent group are the latter group nearest A that peels off in HP2P network C hord rings；
Step (4) is if group A present load Load ＞ LoadavgStep (A5) is then gone to, if Load ＜ LoadavgThen
Go to step (A8)；Otherwise the method execution of load balance terminates between HP2P network groups；
Step (5) is if group A loads Load >=Loadlight/ (1-2 β), then reduce β by own load, and wherein β is one
A real number in section (0,0.5) value, and go to step (A6)；Otherwise step (A8) is gone to；Wherein LoadlightFor this group
The load of smaller group is loaded in forerunner group and subsequent group；
Step (6) is if LoadlightFor group A forerunner group load, then group A notify its forerunner group it is suitable along Chord rings
Hour hands move, and mobile address space length is (Load-Loadlight) × Length/ (2 × Load), and will corresponding first number
According to being transferred in forerunner group, between HP2P network groups this executions of the method for load balance terminate, wherein Length exists for group A
The address space length safeguarded in Chord rings；Otherwise step (A7) is gone to；
Step (7) LoadlightFor the load of the subsequent group of group A, then the group moves counterclockwise along Chord rings, mobile
Address space length is (Load-Loadlight) × Length/ (2 × Load), and corresponding metadata is transferred to subsequent group
In, then this execution of the method for load balance terminates between HP2P network groups；
Step (8) is if Load≤(1-2 β) Loadheavy, and go to step (A9)；Wherein LoadheavyFor the group
Forerunner group and subsequent group in heavier loads group load, β is a real number in section (0,0.5) value, otherwise HP2P nets
The execution of network intergroup traffic balance method terminates；
Step (9) is if LoadheavyFor group A forerunner group load, then group A notify its forerunner group it is inverse along Chord rings
Hour hands move, and mobile address space length is (Loadheavy-Load)×Lengthpredecessor/(2×Loadheavy), and
Corresponding metadata, wherein Length are obtained from forerunner grouppredecessorThe address space safeguarded in Chord rings by forerunner group
Length, then this execution of balancing method of loads terminates between HP2P network groups；Otherwise step (A10) is gone to；
Step (10) LoadheavyFor the load of the subsequent group of group A, then group A is moved clockwise along Chord rings, mobile
Address space length is (Loadheavy-Load)×Lengthsuccessor/(2×Loadheavy), and obtained accordingly from subsequent group
Metadata, wherein LengthsuccessorThe address space length safeguarded in Chord rings by subsequent group, at this time HP2P network groups
Between balancing method of loads execution terminate.
Further, balancing method of loads includes in the ordinary node group：
Step (1) ordinary node obtains this group of current Rate of average load from super node
If the load factor of step (2) nodeThen think that node load rate is higher, the node will at this time
Into group, super node is notified to the load factor of itself and the metadata number of required node transfer other into group isThen this execution of balancing method of loads terminates in ordinary node group, and wherein capacity is should
The ability of node, a real numbers of the α between section (1,2)；Otherwise step (3) is gone to；
If the load factor of step (3) nodeThen think that the node load rate is relatively low；At this point,
Node super node into group be notified to itself load factor and can other nodes receive out of group maximum metadata number
MeshWherein capacity is the ability of the node, in ordinary node group balancing method of loads this
Execution terminates.
Further, the cycle covariant function for receiving signal includes：
The signal contains the mpsk signal for obeying S α S partition noises, can be expressed as：
Wherein E is the mean power of signal,M=2k, m=1,
2 ... M, q (t) indicate that rectangular pulse waveform, T indicate symbol period, fcIndicate carrier frequency, φ0Initial phase is indicated, if w
(t) it is the non-Gaussian noise for obeying S α S distributions, then its autocovariance function is defined as：
Wherein (x (t- τ))<p-1>=| x (t- τ) |p-2X* (t- τ), γx(t-τ)It is the coefficient of dispersion of x (t), then x (t) is followed
Ring co-variation is defined as：
Wherein ε is known as cycle frequency, and T is a code-element period.
Further, the cycle co-variation spectrum for receiving signal is carried out as follows：
Cycle co-variation spectrum is to recycle the Fourier transformation of covariant function, is expressed as：
It recycles co-variation spectrum and is derived as：
As M >=4,Place,
As M=2,
Wherein Q (f) is the Fourier transformation of q (t), and
Further, it is described by extraction recycle co-variation spectrum in cycle frequency ε=0Hz section realize carrier frequency estimation, by with
Lower progress：
The envelope of the cycle co-variation spectrum on n=0, that is, ε=sections 0Hz be：
As f=± fcWhen, envelope obtains maximum value.
Further, the wireless entrance guard subsystem includes entrance guard management module and access card two parts, wherein entrance guard management
Module includes reader, terminal control unit, dual-mode antenna.The access card includes dual-mode antenna and transponder.
Further, the subsystems connect central monitoring system by Ethernet.
Further, the environmental monitoring subsystem include environmental monitoring host and coupled Temperature Humidity Sensor,
Breathable gas concentration visits device and harmful gas concentration detector.
Advantages of the present invention and good effect are：The systems technology is advanced, economical and practical, securely and reliably, superior in quality, answers
With extensive.
The method for balancing network load of the present invention is obtained by emulation：
PEERSIM simulation softwares are selected to emulate the load balance effect and parameter value of the present invention.Examination every time
It tests and is repeated 20 times, experimental result is average value.
For in the emulation of HP2P method for balancing network load, we imitate the present invention using different network configurations
Very, to determine whether the present invention is all effective to the HP2P networks under different situations.Network simulation parameter is as shown in table 1.
1 HP2P method for balancing network load simulation parameters of table are arranged
When in HP2P networks be added the present invention after, no matter in heterogeneous networks scale, network have different number resources,
Load the load of maximum cluster and network average load under different resource request rates, in network becomes 2 from about 5 times of relationship
Times or so relationship, while group load relative standard deviation be down to about 0.2 from 1.0 or so.So being born between HP2P network groups are added
After carrying balance method, the load balancing degrees between HP2P network groups greatly promote.
When network size constantly reduces or substantially maintains constant, the group's load balancing degrees and metadata of HP2P networks are moved
Dynamic number is all mainly determined by the value of parameter beta, and is reduced with the increase of β；When β ∈ [0.4,0.5) when, group in network
Load balancing degrees are drastically reduced with the increase of β, and when [0.1,0.2] β ∈, metadata amount of movement also with β increase and
Quickly reduce；When γ takes smaller value simultaneously, it can allow larger and load the side that larger group is divided by group
Formula quickly reduces load, and will not introduce more metadata amount of movements substantially；So network size constantly reduce or substantially
When remaining unchanged, γ should take 2.0, β can be in section [0.2,0.4] value.When network size expands rapidly, group's load balancing
Degree is whole relatively high, thus γ take 2.0, β section [0.4,0.5) interior value.
After the present invention is added in HP2P networks, no matter there are different number resources in heterogeneous networks scale, network
Under, the load factor of load factor maximum node is 4 to 7 times of Rate of average load in group and is down to 2 times or less in HP2P network groups.Group
Interior load relative standard deviation is also down to 0.3 or so between 0.7 to 1.1.So the present invention equally well improves HP2P nets
Load balancing degrees in network group.
The load factor of the highest node of load factor mark opposite with load factor in the ratio of Rate of average load in group and group in group
Quasi- difference all increases with the increase of parameter alpha, and growth rate slows down with the increase of α.When network size becomes larger rapidly,
The amount of movement of metadata is much larger than other two kinds of situations, this is because when there is a large amount of metadata that network is added, whole network
Metadata overall number increases and in order to allow the metadata of these new publications to be placed into the suitable position in group, needs additional
Metadata transfer.When α takes 1.2, still above 0.2, this illustrates due to group's interior nodes constantly load factor standard deviation in group
Network is joined and departed from, load factor relative standard deviation is difficult to control within 0.2 in group.So when α takes 1.2, will cause to surpass
Great deal of nodes load information is stored in the Hash table and sequential chained list of grade node.So parameter alpha should take in section [1.4,1.8]
Value, and specific value can determine the requirement degree of HP2P network software load balances in conjunction with reality.
The above emulation experiment and data the result shows that, HP2P method for balancing network load has well solved HP2P networks
Group between and group in laod unbalance the problem of.Such as the invention is applied in the network based on HP2P, will greatly promote and be based on
The performance of the network software of HP2P.
The present invention can estimate the carrier frequency of psk signal under partition noise；The present invention has under low signal-to-noise ratio environment
There is preferable estimation performance；In identical emulation experiment environment and identical chip rate, carrier frequency, sample frequency, sampling
Under the conditions of the signal parameters setting such as points and signal-to-noise ratio, the present invention has preferably estimation performance than existing method.For intelligence
Building network management provides guarantee.
Description of the drawings
Fig. 1 is the structural schematic diagram of intelligent building management system provided in an embodiment of the present invention.
Specific implementation mode
In order to further understand the content, features and effects of the present invention, the following examples are hereby given, and coordinate attached drawing
Detailed description are as follows.
The structure of the present invention is explained in detail below in conjunction with the accompanying drawings.
As shown in Figure 1, intelligent building management system provided in an embodiment of the present invention includes central monitoring system, supervised with center
Wireless entrance guard subsystem that control system respectively connected, elevator automatic control subsystem, illumination subsystems, becomes distribution at air conditioning subsystem
Subsystem, discharge water subsystem, security protection subsystem, garage management subsystem, TV monitoring and controlling subsystem, environmental monitoring subsystem,
Smart home subsystem.Subsystems are wirelessly connected by Ethernet and central monitoring system.There is power supply system respectively to each
A subsystem and central monitoring system power supply.
The security protection subsystem is integrated with building HP2P network load balancing module and to PSK under network signal partition noise
The estimating carrier frequencies module of signal；The building HP2P network load balancing module and estimating carrier frequencies module with center
Monitoring system is wirelessly connected；
The building HP2P method for balancing network load of the building HP2P network load balancing modules includes：
1) between HP2P network groups load balance method：By group division and group address space movement come reality
Load transfer between existing group, and be added by new node and to load larger group and induce mass-sending is estranged to split and merge, make load compared with
Big address space group's number increases, and the smaller address space group's number of load is reduced, wherein load is defined as this group of interior joints
The average number of processing message required for unit interval；
2) method of load balance makes by super node to loading efficient scheduling in group in group in HP2P network groups
The lower node of load factor finds the higher node of load factor in group, wherein according to HP2P network characteristics, load approximation is defined as
The metadata number safeguarded required for group's interior nodes, load factor are defined as the ratio of load and node capacity, and the metadata
For the index of resource；
The carrier frequency estimating method to psk signal under network signal partition noise of the estimating carrier frequencies module
In, psk signal is signal in HP2P networks；It specifically includes：
Cycle covariant function is asked to the psk signal containing partition noise of reception；
Fourier transformation is carried out to the cycle covariant function, it is asked to recycle co-variation spectrum；
Pass through the section of the cycle co-variation spectrum extraction cycle frequency ε=0Hz；
The peak value for searching for the positive and negative semiaxis in the section finds the corresponding positive negative frequency value of the peak value, and takes absolute value
The estimated value averaged afterwards as carrier frequency.
The method of load balance includes between the HP2P network groups：
The super node S of step (1) group A is randomly to klog around2N number of pocket transmission group load requests message obtains
The klog2N number of group of load information, and by calculating this klog2N number of group of load mean value is current whole to estimate
The group mean of a HP2P networks loads Loadavg, wherein k is one in section [1, N/log2N] value integer, N is network
The number of middle group；
Step (2) is if group A present load Load ＞ γ Loadavg, and two groupuscule interior joint numbers that group splits into are equal
More than HP2P network group low-bound of node number, then the group is split into two groups, wherein γ is a real number more than 1, HP2P
This execution of the method for load balance terminates between network group；Otherwise step (A3) is gone to；
Step (3) build HP2P networks in Chord rings, group A to its forerunner group and subsequent pocket transmission load requests message, from
And the current load situation of forerunner group and subsequent group is obtained, wherein forerunner group is before peeling off A in HP2P network C hord rings recently
One group, subsequent group are the latter group nearest A that peels off in HP2P network C hord rings；
Step (4) is if group A present load Load ＞ LoadavgStep (A5) is then gone to, if Load ＜ LoadavgThen
Go to step (A8)；Otherwise the method execution of load balance terminates between HP2P network groups；
Step (5) is if group A loads Load >=Loadlight/ (1-2 β), then reduce β by own load, and wherein β is one
A real number in section (0,0.5) value, and go to step (A6)；Otherwise step (A8) is gone to；Wherein LoadlightFor this group
The load of smaller group is loaded in forerunner group and subsequent group；
Step (6) is if LoadlightFor group A forerunner group load, then group A notify its forerunner group it is suitable along Chord rings
Hour hands move, and mobile address space length is (Load-Loadlight) × Length/ (2 × Load), and will corresponding first number
According to being transferred in forerunner group, between HP2P network groups this executions of the method for load balance terminate, wherein Length exists for group A
The address space length safeguarded in Chord rings；Otherwise step (A7) is gone to；
Step (7) LoadlightFor the load of the subsequent group of group A, then the group moves counterclockwise along Chord rings, mobile
Address space length is (Load-Loadlight) × Length/ (2 × Load), and corresponding metadata is transferred to subsequent group
In, then this execution of the method for load balance terminates between HP2P network groups；
Step (8) is if Load≤(1-2 β) Loadheavy, and go to step (A9)；Wherein LoadheavyFor the group
Forerunner group and subsequent group in heavier loads group load, β is a real number in section (0,0.5) value, otherwise HP2P nets
The execution of network intergroup traffic balance method terminates；
Step (9) is if LoadheavyFor group A forerunner group load, then group A notify its forerunner group it is inverse along Chord rings
Hour hands move, and mobile address space length is (Loadheavy-Load)×Lengthpredecessor/(2×Loadheavy), and
Corresponding metadata, wherein Length are obtained from forerunner grouppredecessorThe address space safeguarded in Chord rings by forerunner group
Length, then this execution of balancing method of loads terminates between HP2P network groups；Otherwise step (A10) is gone to；
Step (10) LoadheavyFor the load of the subsequent group of group A, then group A is moved clockwise along Chord rings, mobile
Address space length is (Loadheavy-Load)×Lengthsuccessor/(2×Loadheavy), and obtained accordingly from subsequent group
Metadata, wherein LengthsuccessorThe address space length safeguarded in Chord rings by subsequent group, at this time HP2P network groups
Between balancing method of loads execution terminate.
Balancing method of loads includes in the ordinary node group：
Step (1) ordinary node obtains this group of current Rate of average load from super node
If the load factor of step (2) nodeThen think that node load rate is higher, the node will at this time
Into group, super node is notified to the load factor of itself and the metadata number of required node transfer other into group isThen this execution of balancing method of loads terminates in ordinary node group, and wherein capacity is should
The ability of node, a real numbers of the α between section (1,2)；Otherwise step (3) is gone to；
If the load factor of step (3) nodeThen think that the node load rate is relatively low；At this point,
Node super node into group be notified to itself load factor and can other nodes receive out of group maximum metadata number
MeshWherein capacity is the ability of the node, in ordinary node group balancing method of loads this
Execution terminates.
Further, the cycle covariant function for receiving signal includes：
The signal contains the mpsk signal for obeying S α S partition noises, can be expressed as：
Wherein E is the mean power of signal,M=2k, m=1,
2 ... M, q (t) indicate that rectangular pulse waveform, T indicate symbol period, fcIndicate carrier frequency, φ0Initial phase is indicated, if w
(t) it is the non-Gaussian noise for obeying S α S distributions, then its autocovariance function is defined as：
Wherein (x (t- τ))<p-1>=| x (t- τ) |p-2X* (t- τ), γx(t-τ)It is the coefficient of dispersion of x (t), then x (t) is followed
Ring co-variation is defined as：
Wherein ε is known as cycle frequency, and T is a code-element period.
The cycle co-variation spectrum for receiving signal is carried out as follows：
Cycle co-variation spectrum is to recycle the Fourier transformation of covariant function, is expressed as：
It recycles co-variation spectrum and is derived as：
As M >=4,Place,
As M=2,
Wherein Q (f) is the Fourier transformation of q (t), and
Carrier frequency estimation is realized in the section that cycle frequency ε=0Hz in co-variation spectrum is recycled by extraction, is carried out as follows：
The envelope of the cycle co-variation spectrum on n=0, that is, ε=sections 0Hz be：
As f=± fcWhen, envelope obtains maximum value.
The present invention operation principle be：The system include central monitoring system, wireless entrance guard subsystem, air conditioning subsystem,
Elevator automatic control subsystem, illumination subsystems become distribution subsystem, discharge water subsystem, security protection subsystem, garage management subsystem
System, TV monitoring and controlling subsystem, environmental monitoring subsystem, smart home subsystem.These subsystems are supervised by Ethernet and center
Control system connects.The data that subsystem is collected are transferred to central data through Ethernet and carry out processing storage, aobvious by display device
Show the information of subsystems, and can be sent a warning in some subsystem fault by warning device.The system skill
Art is advanced, economical and practical, securely and reliably.
Emulation experiment and data of the present invention the result shows that, HP2P method for balancing network load has well solved HP2P nets
Between network group and group in laod unbalance the problem of.Such as the invention is applied in the network based on HP2P, base will be greatly promoted
In the performance of the network software of HP2P.
The present invention can estimate the carrier frequency of psk signal under partition noise；The present invention has under low signal-to-noise ratio environment
There is preferable estimation performance；In identical emulation experiment environment and identical chip rate, carrier frequency, sample frequency, sampling
Under the conditions of the signal parameters setting such as points and signal-to-noise ratio, the present invention has preferably estimation performance than existing method.For intelligence
Building network management provides guarantee.
The above is only the preferred embodiments of the present invention, and is not intended to limit the present invention in any form,
Every any simple modification, equivalent change and modification made to the above embodiment according to the technical essence of the invention, belong to
In the range of technical solution of the present invention.
Claims (7)
1. a kind of intelligent building management system, which is characterized in that the intelligent building management system includes central monitoring system, with
Wireless entrance guard subsystem that central monitoring system respectively connected, air conditioning subsystem, elevator automatic control subsystem, illumination subsystems,
Become distribution subsystem, discharge water subsystem, security protection subsystem, garage management subsystem, TV monitoring and controlling subsystem, environmental monitoring
System, smart home subsystem；
Wireless entrance guard subsystem, elevator automatic control subsystem, illumination subsystems, becomes distribution subsystem, plumbing at air conditioning subsystem
System, security protection subsystem, garage management subsystem, TV monitoring and controlling subsystem, environmental monitoring subsystem, smart home subsystem are logical
It crosses Ethernet and central monitoring system is wirelessly connected；Wireless entrance guard subsystem, air conditioning subsystem, elevator are given respectively by power supply system
Automatic control subsystem, illumination subsystems become distribution subsystem, discharge water subsystem, security protection subsystem, garage management subsystem, electricity
It powers depending on Monitor And Control Subsystem, environmental monitoring subsystem and central monitoring system；
The security protection subsystem is integrated with building HP2P network load balancing module and to psk signal under network signal partition noise
Estimating carrier frequencies module；The building HP2P network load balancing module and estimating carrier frequencies module are and central monitoring
System wireless connects；
The building HP2P method for balancing network load of the building HP2P network load balancing modules includes：
1) between HP2P network groups load balance method：By group's division and group group is realized in the movement of address space
Between load transfer, and be added by new node and to load larger group and induce mass-sending is estranged to split and merge, keep load larger
Address space group's number increases, and the smaller address space group's number of load is reduced, wherein load is defined as this group of interior joint units
The average number of processing message required for time；
2) method of load balance makes load in group by super node to loading efficient scheduling in group in HP2P network groups
The lower node of rate finds the higher node of load factor in group, wherein according to HP2P network characteristics, load approximation is defined as in group
The metadata number safeguarded required for node, load factor is defined as the ratio of load and node capacity, and the metadata is money
The index in source；
In the carrier frequency estimating method to psk signal under network signal partition noise of the estimating carrier frequencies module, PSK
Signal is signal in HP2P networks；It specifically includes：
Cycle covariant function is asked to the psk signal containing partition noise of reception；
Fourier transformation is carried out to the cycle covariant function, it is asked to recycle co-variation spectrum；
Pass through the section of the cycle co-variation spectrum extraction cycle frequency ε=0Hz；
The peak value for searching for the positive and negative semiaxis in the section finds the corresponding positive negative frequency value of the peak value, and is asked after taking absolute value
Estimated value of the mean value as carrier frequency.
2. intelligent building management system as described in claim 1, which is characterized in that load balance between the HP2P network groups
Method includes：
The super node S of step (1) group A is randomly to klog around2N number of pocket transmission group load requests message, described in acquisition
k·log2N number of group of load information, and by calculating this klog2N number of group of load mean value is current entire to estimate
The group mean of HP2P networks loads Loadavg, wherein k is one in section [1, N/log2N] value integer, N be network in group
Number；
Step (2) is if group A present load Load ＞ γ Loadavg, and two groupuscule interior joint numbers that group splits into are all higher than
HP2P network group low-bound of node number, then split into two groups by the group, and wherein γ is a real number more than 1, HP2P networks
This execution of the method for intergroup traffic balance terminates；Otherwise step (A3) is gone to；
Step (3) builds Chord rings in HP2P networks, and group A is to its forerunner group and subsequent pocket transmission load requests message, to obtain
Take the current load situation of forerunner group and subsequent group, wherein forerunner group is nearest previous of A that peel off in HP2P network C hord rings
Group, subsequent group are the latter group nearest A that peels off in HP2P network C hord rings；
Step (4) is if group A present load Load ＞ LoadavgStep (A5) is then gone to, if Load ＜ LoadavgThen go to step
Suddenly (A8)；Otherwise the method execution of load balance terminates between HP2P network groups；
Step (5) is if group A loads Load >=LoadlightOwn load is then reduced β by/(1-2 β), wherein β be one
The real number of section (0,0.5) value, and go to step (A6)；Otherwise step (A8) is gone to；Wherein LoadlightFor the forerunner of this group
The load of smaller group is loaded in group and subsequent group；
Step (6) is if LoadlightFor group A forerunner group load, then group A notify its forerunner group it is clockwise along Chord rings
Mobile, mobile address space length is (Load-Loadlight) × Length/ (2 × Load), and corresponding metadata is turned
Move on to forerunner group in, between HP2P network groups this executions of the method for load balance terminate, wherein Length be group A in Chord rings
Middle safeguarded address space length；Otherwise step (A7) is gone to；
Step (7) LoadlightFor the load of the subsequent group of group A, then the group moves counterclockwise along Chord rings, mobile address
Space length is (Load-Loadlight) × Length/ (2 × Load), and corresponding metadata is transferred in subsequent group, and
This execution of the method for load balance terminates between HP2P network groups afterwards；
Step (8) is if Load≤(1-2 β) Loadheavy, and go to step (A9)；Wherein LoadheavyFor the forerunner of this group
The load of group and heavier loads group in subsequent group, β is a real number in section (0,0.5) value, otherwise between HP2P network groups
Balancing method of loads execution terminates；
Step (9) is if LoadheavyFor group A forerunner group load, then group A notify its forerunner group it is counterclockwise along Chord rings
Mobile, mobile address space length is (Loadheavy-Load)×Lengthpredecessor/(2×Loadheavy), and from forerunner
Group obtains corresponding metadata, wherein LengthpredecessorThe address space length safeguarded in Chord rings by forerunner group,
Then this execution of balancing method of loads terminates between HP2P network groups；Otherwise step (A10) is gone to；
Step (10) LoadheavyFor the load of the subsequent group of group A, then group A is moved clockwise along Chord rings, mobile address
Space length is (Loadheavy-Load)×Lengthsuccessor/(2×Loadheavy), and obtain corresponding first number from subsequent group
According to wherein LengthsuccessorThe address space length safeguarded in Chord rings by subsequent group is born between HP2P network groups at this time
Balance method execution is carried to terminate.
3. intelligent building management system as described in claim 1, which is characterized in that load balance side in the ordinary node group
Method includes：
Step (1) ordinary node obtains this group of current Rate of average load from super node
If the load factor of step (2) nodeThen think that node load rate is higher, the node will be to group at this time
Middle super node is notified to the load factor of itself and the metadata number of required node transfer other into group isThen this execution of balancing method of loads terminates in ordinary node group, and wherein capacity is should
The ability of node, a real numbers of the α between section (1,2)；Otherwise step (3) is gone to；
If the load factor of step (3) nodeThen think that the node load rate is relatively low；At this point, the section
Point super node into group be notified to itself load factor and can other nodes receive out of group greastest element data numberWherein capacity is the ability of the node, in ordinary node group balancing method of loads this hold
Row terminates.
4. intelligent building management system as described in claim 1, which is characterized in that the cycle covariant function for receiving signal
Including：
The signal contains the mpsk signal for obeying S α S partition noises, can be expressed as：
Wherein E is the mean power of signal,M=2k, m=1,2,
... M, q (t) indicate that rectangular pulse waveform, T indicate symbol period, fcIndicate carrier frequency, φ0Initial phase is indicated, if w (t)
It is the non-Gaussian noise for obeying S α S distributions, then its autocovariance function is defined as：
Wherein (x (t- τ))<p-1>=| x (t- τ) |p-2X* (t- τ), γx(t-τ)It is the coefficient of dispersion of x (t), then the cycle of x (t) is total
Change is defined as：
Wherein ε is known as cycle frequency, and T is a code-element period.
5. intelligent building management system as described in claim 1, which is characterized in that the cycle co-variation spectrum for receiving signal is pressed
It carries out below：
Cycle co-variation spectrum is to recycle the Fourier transformation of covariant function, is expressed as：
It recycles co-variation spectrum and is derived as：
As M >=4,Place,
As M=2,
Wherein Q (f) is the Fourier transformation of q (t), and
6. intelligent building management system as described in claim 1, which is characterized in that described recycled in co-variation spectrum by extraction is followed
Carrier frequency estimation is realized in the section of ring frequency ε=0Hz, is carried out as follows：
The envelope of the cycle co-variation spectrum on n=0, that is, ε=sections 0Hz be：
As f=± fcWhen, envelope obtains maximum value.
7. intelligent building management system as described in claim 1, which is characterized in that the wireless entrance guard subsystem includes gate inhibition
Management module and access card two parts, wherein entrance guard management module include reader, terminal control unit, dual-mode antenna；The door
It includes dual-mode antenna and transponder to prohibit card；
The environmental monitoring subsystem includes that environmental monitoring host and coupled Temperature Humidity Sensor, breathable gas are dense
Degree is visited device and harmful gas concentration detector and is connect with central monitoring system.
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| CN113777938A (en) * | 2021-08-31 | 2021-12-10 | 东风柳州汽车有限公司 | Household appliance control method, device, equipment and storage medium |
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