CN108235271A - A kind of smart home wireless sensor network based on Fusion - Google Patents
A kind of smart home wireless sensor network based on Fusion Download PDFInfo
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- CN108235271A CN108235271A CN201611128311.1A CN201611128311A CN108235271A CN 108235271 A CN108235271 A CN 108235271A CN 201611128311 A CN201611128311 A CN 201611128311A CN 108235271 A CN108235271 A CN 108235271A
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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
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Abstract
The invention discloses a kind of smart home wireless sensor networks based on Fusion, it is characterised in that：Including wireless sensor node, wireless executing agency and wireless control center；The wireless sensor node, for being responsible for the acquisition of data, processing and communication；The wireless executing agency, for starting alarm and control circuit switch；The home wireless control centre, for handling and forwarding the information in wireless sensor node, and the connection for internet provides interface and carries out remote control.The calculating of multisensor Data Fusion technology set Confidence distance, Bayesian Fusion algorithm and the Kalman filter of the present invention reduces the uncertainty and inconsistency of Multi-sensor Fusion, improves the precision of Multi-sensor Fusion.
Description
Technical field
The present invention relates to smart home field, especially a kind of smart home based on Fusion wirelessly passes
Sensor network.
Background technology
It with rapid development scientific and technical in recent years and popularizes, our work, philosophy of life also have occurred huge
Change, the new direction of Modern Family's life pursuit-intelligence lives and quietly comes into our life, " smart home "
As household's IT application and intelligent essential demand.
At present, intelligent house network system is wirelessly intended only as wired supplement also mainly based on wired forms, and
Network transmission and processing capacity are poor.The application system of household should be managed collectively by one intelligent domestic system, be realized
Interconnection, system can automatically process various events, and user can carry out remote management by phone or Internet, from
And create the facilitation for meeting people's requirement.Wireless sensor network is by largely having communication and the minute sense of computing capability
Device node, it is intensive to be laid in unattended monitoring area and form, " the intelligence of appointed task can be independently completed according to environment
Can " autonomy measurement and control network system.Wireless sensor network is a kind of strictly limited complete point of ultra-large, unattended, resource
Distribution system using the communication mode of multi-hop equity, network topology dynamic change, has the intelligence such as self-organizing, autonomy, adaptive
Attribute.
With the development of the applications such as the intelligence of electric system, collaborative and remote monitoring system, net in smart home
Network is no longer made of similar node completely, and wireless sensor network node can be divided into the single sensor node of function, hold
Row device node and sensing is had both with performing the electrical equipment node that can work independently of function and with calculating and store function
Several big nodes such as general processing platform node (PC machine), therefore the family that this node by morphosis and Various Functions is formed
Wireless sensor network is a heterogeneous network；Secondly network node is no longer totally stationary, on the one hand due to certain offices
Electric appliance or household appliances position in the environment are simultaneously not fixed, and there are mobile nodes in another aspect indoor environment.This is also
The important feature of sensor network, dynamic network, topological structure may change.This requires sensing system will can adapt to
This variation has dynamic system reconfigurability.The isomerism and dynamic of wireless sensor network are for sensor node
Integration technology there is higher requirement, and the integration technology of existing smart home wireless sensor network exist it is uncertain and
The problem of inconsistency.
Invention content
The goal of the invention of the present invention is：In view of the above problems, provide it is a kind of calculated based on set Confidence distance,
The smart home wireless sensor network of Bayesian Fusion algorithm and the multi-sensor fusion technology of Kalman filter.
The technical solution adopted by the present invention is as follows：
A kind of smart home wireless sensor network based on Fusion of the present invention, including wireless sensor
Node, wireless executing agency and wireless control center；The wireless sensor node, for be responsible for the acquisition of data, processing and
Communication；The wireless executing agency, for starting alarm and control circuit switch；The home wireless control centre, for locating
The information of reason and forwarding in wireless sensor node, and the connection for internet provides interface and carries out remote control.
A kind of smart home wireless sensor network based on Fusion of the present invention, the wireless sensor
Node includes sensor, processor unit, wireless communication unit and energy supply unit；The sensor unit includes being set on room
Interior sensor, for monitoring the acquisition of information and data exchange in region；The processor unit includes analog-digital converter, place
Device and memory are managed, the data for storing and processing the data of sensor unit acquisition and other nodes are sent carry out data
Fusion；The wireless communication unit, for being carried out wireless communication with other sensors node, exchange of control information and transmitting-receiving acquire
Data；The energy supply unit, for providing required energy for sensor node.
A kind of smart home wireless sensor network based on Fusion of the present invention, the processor unit
Using microcontroller MSP430F1232；The wireless communication unit uses NRF905.
A kind of smart home wireless sensor network based on Fusion of the present invention, the wireless communication are single
Member includes coordinator and router；The coordinator include voltage transformation module, key-press module, LCD module, LED light, when
Clock and antenna；The voltage transformation module, for voltage to be adjusted；The LED light, for showing coordinator node
Network status information；The LCD module, for carrying out the interaction of user and sensor network, function menu.
A kind of multi-Sensor Information Fusion Approach of smart home wireless sensor network of the present invention, includes the following steps：
Step 1：The measurement data for the sensor that receiving sensor uploads carries out data fitting, suppression by Surface Fitting
Coupled relation between parameter and nonparametric processed；
Step 2：By measurement data between identification sensor, the calculating of Confidence distance, rejecting abnormalities data are carried out；
Step 3：According to Bayes principle, fusion mean value and fusion variance are calculated；
Step 4：Fusion mean value and fusion variance are exported by Kalman filter.
Confidence distance calculates in a kind of multi-Sensor Information Fusion Approach of smart home wireless sensor network of the present invention
Method：The output data of sensor i is Xi, and the output data of sensor j is Xj；Acquire probability density function Pi (X) and Pj
(X)；Calculate Confidence distance Dij；Confidence distance with matrix is represented, forms Confidence distance matrix；Using critical value to Confidence distance
Value is divided, and is judged the support relationship between output data, is represented with relational matrix, selects sensor defeated according to relational matrix
Go out as a result, participating in fusion.
Fusion mean value is calculated in a kind of multi-Sensor Information Fusion Approach of smart home wireless sensor network of the present invention
With the method for fusion variance：According to the formula of probability density functionIt acquires general
Rate density function, X is state vector in formula, and Z is measured value, σjStandard deviation for sensor j；Then according to bayesian theory,
The fusion mean value of sensorσ in formulaiFor the standard deviation of sensor i, σiFor sensing
The standard deviation of device j；Merge variance.
In conclusion by adopting the above-described technical solution, the beneficial effects of the invention are as follows：Compared with prior art, originally
The smart home wireless sensor network based on Fusion of invention, wherein multisensor Data Fusion technology collection
Confidence distance calculating, Bayesian Fusion algorithm and Kalman filter are closed, confidence interval is first carried out before Data Fusion of Sensor
From acquiring relational matrix, so as to rejecting abnormalities data, avoid influence of the abnormal data to fusion；Simultaneously using Bayesian Fusion
Algorithm calculates fusion mean value and fusion variance, is merged, while carries out denoising to the result of fusion using Kalman filter,
The uncertainty and inconsistency of Multi-sensor Fusion are reduced, improves the precision of Multi-sensor Fusion.
Description of the drawings
Examples of the present invention will be described by way of reference to the accompanying drawings, wherein：
Fig. 1 schematic structural views of the invention.
Specific embodiment
All features or disclosed all methods disclosed in this specification or in the process the step of, in addition to mutually exclusive
Feature and/or step other than, can combine in any way.
Any feature disclosed in this specification (including any accessory claim, abstract), unless specifically stated,
It is replaced by other equivalent or with similar purpose alternative features.That is, unless specifically stated, each feature is a series of
An example in equivalent or similar characteristics.
Such as Fig. 1, a kind of smart home wireless sensor network based on Fusion of the present invention, including wireless
Sensor node, wireless executing agency and wireless control center；The wireless sensor node, for be responsible for the acquisition of data,
Processing and communication；The wireless executing agency, for starting alarm and control circuit switch；The home wireless control centre,
For handling and forwarding the information in wireless sensor node, and the connection for internet provides interface and is remotely controlled
System.
A kind of smart home wireless sensor network based on Fusion of the present invention, the wireless sensor
Node includes sensor, processor unit, wireless communication unit and energy supply unit；The sensor unit includes being set on room
Interior sensor, for monitoring the acquisition of information and data exchange in region；The processor unit includes analog-digital converter, place
Device and memory are managed, the data for storing and processing the data of sensor unit acquisition and other nodes are sent carry out data
Fusion；The wireless communication unit, for being carried out wireless communication with other sensors node, exchange of control information and transmitting-receiving acquire
Data；The energy supply unit, for providing required energy for sensor node.
A kind of smart home wireless sensor network based on Fusion of the present invention, the processor unit
Using microcontroller MSP430F1232；The wireless communication unit uses NRF905.
A kind of smart home wireless sensor network based on Fusion of the present invention, the wireless communication are single
Member includes coordinator and router；The coordinator include voltage transformation module, key-press module, LCD module, LED light, when
Clock and antenna；The voltage transformation module, for voltage to be adjusted；The LED light, for showing coordinator node
Network status information；The LCD module, for carrying out the interaction of user and sensor network, function menu.
A kind of multi-Sensor Information Fusion Approach of smart home wireless sensor network of the present invention, includes the following steps：
Step 1：Receiving sensor upload sensor measurement data, by Surface Fitting carry out data fitting, inhibit parameter and
Coupled relation between nonparametric；Step 2：By measurement data between identification sensor, the calculating of Confidence distance is carried out, is rejected
Abnormal data；Step 3：According to Bayes principle, fusion mean value and fusion variance are calculated；Step 4：It will fusion mean value and fusion
Variance is exported by Kalman filter.
Confidence distance calculates in a kind of multi-Sensor Information Fusion Approach of smart home wireless sensor network of the present invention
Method：The output data of sensor i is Xi, and the output data of sensor j is Xj；Acquire probability density function Pi (X) and Pj
(X)；Calculate Confidence distance Dij；Confidence distance with matrix is represented, forms Confidence distance matrix；Using critical value to Confidence distance
Value is divided, and is judged the support relationship between output data, is represented with relational matrix, selects sensor defeated according to relational matrix
Go out as a result, participating in fusion.
Fusion mean value is calculated in a kind of multi-Sensor Information Fusion Approach of smart home wireless sensor network of the present invention
With the method for fusion variance：According to the formula of probability density functionIt acquires general
Rate density function, X is state vector in formula, and Z is measured value, σjStandard deviation for sensor j；Then according to bayesian theory,
The fusion mean value of sensorσ in formulaiFor the standard deviation of sensor i, σiFor sensing
The standard deviation of device j；Merge variance.
The invention is not limited in aforementioned specific embodiments.The present invention, which expands to, any in the present specification to be disclosed
The step of new feature or any new combination and any new method or process disclosed or any new combination.
Claims (7)
1. a kind of smart home wireless sensor network based on Fusion, it is characterised in that：Including wirelessly passing
Sensor node, wireless executing agency and wireless control center；The wireless sensor node, for being responsible for the acquisition of data, place
Reason and communication；The wireless executing agency, for starting alarm and control circuit switch；The home wireless control centre uses
In processing and the information in wireless sensor node is forwarded, and the connection for internet provides interface and remotely controlled
System.
2. the smart home wireless sensor network according to claim 1 based on Fusion, feature
It is：The wireless sensor node includes sensor, processor unit, wireless communication unit and energy supply unit；It is described
Sensor unit includes being set on indoor sensor, for monitoring the acquisition of information and data exchange in region；The processor
Unit include analog-digital converter, processor and memory, for store and process sensor unit acquisition data and other
The data that node is sent carry out data fusion；The wireless communication unit, for being carried out wireless communication with other sensors node,
Exchange of control information and transmitting-receiving gathered data；The energy supply unit, for providing required energy for sensor node.
3. the smart home wireless sensor network according to claim 1 based on Fusion, feature
It is：The processor unit uses microcontroller MSP430F1232；The wireless communication unit uses NRF905.
4. the smart home wireless sensor network according to claim 1 based on Fusion, feature
It is：The wireless communication unit includes coordinator and router；The coordinator include voltage transformation module, key-press module,
LCD module, LED light, clock and antenna；The voltage transformation module, for voltage to be adjusted；The LED indication
Lamp, for showing coordinator node Network status information；The LCD module, for carrying out the interaction of user and sensor network,
Function menu.
5. the Fusion based on a kind of smart home wireless sensor network described in one of Claims 1-4
Method, it is characterised in that：Include the following steps：
Step 1：The measurement data for the sensor that receiving sensor uploads carries out data fitting by Surface Fitting, inhibits ginseng
Coupled relation between amount and nonparametric；
Step 2：By measurement data between identification sensor, the calculating of Confidence distance, rejecting abnormalities data are carried out；
Step 3：According to Bayes principle, fusion mean value and fusion variance are calculated；
Step 4：Fusion mean value and fusion variance are exported by Kalman filter.
6. based on a kind of multi-Sensor Information Fusion Approach of smart home wireless sensor network described in claim 5,
It is characterized in that：The method that the Confidence distance calculates：The output data of sensor i is Xi, and the output data of sensor j is Xj；
Acquire probability density function Pi (X) and Pj (X)；Calculate Confidence distance Dij；Confidence distance with matrix is represented, forms Confidence distance
Matrix；Confidence distance value is divided using critical value, judges the support relationship between output data, with relational matrix table
Show, sensor outputs are selected according to relational matrix, participate in fusion.
7. based on a kind of multi-Sensor Information Fusion Approach of smart home wireless sensor network described in claim 5,
It is characterized in that：The method for calculating fusion mean value and merging variance：According to the formula of probability density function Acquire probability density function, X is state vector in formula, and Z is measured value, σjMark for sensor j
Quasi- deviation；Then according to bayesian theory, the fusion mean value of sensorσ in formulaiTo pass
The standard deviation of sensor i, σiStandard deviation for sensor j；Merge variance.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201611128311.1A CN108235271A (en) | 2016-12-09 | 2016-12-09 | A kind of smart home wireless sensor network based on Fusion |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201611128311.1A CN108235271A (en) | 2016-12-09 | 2016-12-09 | A kind of smart home wireless sensor network based on Fusion |
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| Publication Number | Publication Date |
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| CN108235271A true CN108235271A (en) | 2018-06-29 |
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| CN201611128311.1A Withdrawn CN108235271A (en) | 2016-12-09 | 2016-12-09 | A kind of smart home wireless sensor network based on Fusion |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116540616A (en) * | 2023-07-06 | 2023-08-04 | 北京邮电大学 | Novel household resource scheduling decision control system and method and application thereof |
-
2016
- 2016-12-09 CN CN201611128311.1A patent/CN108235271A/en not_active Withdrawn
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116540616A (en) * | 2023-07-06 | 2023-08-04 | 北京邮电大学 | Novel household resource scheduling decision control system and method and application thereof |
| CN116540616B (en) * | 2023-07-06 | 2023-09-08 | 北京邮电大学 | Novel household resource scheduling decision control system and method and application thereof |
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Application publication date: 20180629 |
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| WW01 | Invention patent application withdrawn after publication |