CN109344809A - Domestic electric appliance intelligent management system based on magnetic strength induction signal - Google Patents
Domestic electric appliance intelligent management system based on magnetic strength induction signal Download PDFInfo
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- CN109344809A CN109344809A CN201811392880.6A CN201811392880A CN109344809A CN 109344809 A CN109344809 A CN 109344809A CN 201811392880 A CN201811392880 A CN 201811392880A CN 109344809 A CN109344809 A CN 109344809A
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- G—PHYSICS
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
- G06F2218/12—Classification; Matching
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
- G06F2218/02—Preprocessing
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- G06—COMPUTING; CALCULATING OR COUNTING
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Abstract
The present invention provides a kind of household appliance intelligent management systems based on magnetic strength induction signal, including data collection module, data processing module, characteristic extracting module and model training module；Data collection module is used to collect the magnetic induction data of domestic electric appliance generation and is transmitted to data processing module；Data processing module is for pre-processing magnetic induction data；Characteristic extracting module is for extracting the feature of pretreated magnetic induction data；The feature for the magnetic induction data that model training module is used to extract based on characteristic extracting module carries out model training.The present invention is not in the case where changing existing household electrical appliance, the magnetic strength induction signal itself generated when electrical equipment work is acquired by Magnetic Sensor to complete the identification of electrical equipment type, working condition, and the discovery and early warning of electrical equipment abnormal operation are realized based on historical data, it is achieved at low cost the intelligence of domestic electric appliance；The present invention can be applied to the intelligent management of the electrical equipment of various sizes.
Description
Technical field
The present invention relates to household internet of things field, and in particular, to a kind of domestic electric appliance based on magnetic strength induction signal
Intelligent management system.
Background technique
The very typical application of one of smart home system Internet of Things, smart home will be in family by technology of Internet of things
Various equipment (such as audio & video equipment, lighting system, curtain control, airconditioning control, security system, Digital Theater Systems, audio-visual clothes
Business device, shadow cabinet system, network home appliance etc.) it connects together, home wiring control, Lighting control, remote control using telephone, indoor and outdoor are provided
The multiple functions such as remote control, burglar alarm, environmental monitoring, HVAC control, infrared forwarding and programmable Timer control and means.With
Common household is compared, and smart home not only has traditional inhabitation function, has both building, network communication, information household appliances, equipment certainly
Dynamicization provides comprehensive information exchange function, and even various energy expenditures save fund.User can easily make
It uses smart phone as the communication window between controlling intelligent household appliances, it is convenient to enjoy controlling intelligent household appliances bring.But with
The quick update iteration of the equipment such as smart phone is different, the service life of domestic electric appliance be it is very long, especially washing machine,
The large household appliances such as refrigerator, as long as their update cycle is up to 10 years sometimes, this means that present a big chunk
Household electrical appliance are unable to complete intelligentized replacement.In addition, household electrical appliance production firm is embedded in when producing household electrical appliance of new generation
Closed wireless communication network module, control module etc., updates that these intelligences are set up are also by household electrical appliance
The very long service life restriction so that the cost of establishment and the maintenance of smart home is all very high, the intelligence of household electrical appliance is general
And very slowly.The customary practice that the present invention has broken traditional electrical equipment manufacturer passes through magnetic field by the way of non-intrusion type
Intensity sensor acquires the magnetic strength induction signal of itself generation when electrical equipment works to complete identification electrical equipment type, work
The identification of state, and discovery and early warning based on historical data realization electrical equipment abnormal operation.
Summary of the invention
For the defects in the prior art, the object of the present invention is to provide a kind of household electrical appliance based on magnetic strength induction signal to set
Standby intelligent management system.
A kind of domestic electric appliance intelligent management system based on magnetic strength induction signal provided according to the present invention, including data
Collection module, data processing module, characteristic extracting module and model training module；Wherein:
The data collection module is used to collect the magnetic induction data of electrical equipment generation and is transmitted to data processing module；
The data preprocessing module is for pre-processing the magnetic induction data；
The characteristic extracting module is for extracting the feature of pretreated magnetic induction data；
The feature for the magnetic induction data that the model training module is used to extract based on characteristic extracting module carries out model instruction
Practice.
Preferably, the data collection module includes Magnetic Sensor and wireless communication module, in which: Magnetic Sensor is for receiving
The magnetic induction data are transmitted to data processing module by the magnetic induction data that collector device generates, wireless communication module.
Preferably, the wireless communication module includes Wi-Fi module.
Preferably, the pretreatment includes normalization and the gaussian filtering in window time sequence.
Preferably, the feature of the magnetic induction data includes:
Average value, root mean square, zero crossing, variance and standard deviation in time domain；
DC component and kurtosis on frequency domain.
Preferably, the model classifiers training module is supporting vector machine model training module.
Compared with prior art, the present invention have it is following the utility model has the advantages that
1, the present invention passes through magnetic field strength transducer, acquisition in the case where not changing existing electrical equipment hardware configuration
The magnetic strength induction signal that itself is generated when electrical equipment works completes the identification of electrical equipment type, the identification of working condition, and
The discovery and early warning that electrical equipment abnormal operation is realized based on historical data, have been achieved at low cost domestic electric appliance
It is intelligent；
2, strong applicability of the present invention can be applied to the intelligent management of the electrical equipment of various sizes.
Detailed description of the invention
Upon reading the detailed description of non-limiting embodiments with reference to the following drawings, other feature of the invention,
Objects and advantages will become more apparent upon:
Fig. 1 is the integrated stand composition of the domestic electric appliance intelligent management system based on magnetic strength induction signal；
Fig. 2 is the data processing schematic diagram of the domestic electric appliance intelligent management system based on magnetic strength induction signal.
Specific embodiment
The present invention is described in detail combined with specific embodiments below.Following embodiment will be helpful to the technology of this field
Personnel further understand the present invention, but the invention is not limited in any way.It should be pointed out that the ordinary skill of this field
For personnel, without departing from the inventive concept of the premise, several changes and improvements can also be made.These belong to the present invention
Protection scope.
As depicted in figs. 1 and 2, a kind of domestic electric appliance based on magnetic strength induction signal provided according to the present invention is intelligently managed
Reason system realizes the intelligent management of electrical equipment by using intelligent perception technology.
The present invention removes the magnetic induction number generated in the real-time collecting electrical equipment course of work using patch type magnetometric sensor
According to, and processing terminal is sent data to using wireless communication module, go the magnetic induction of processing electrical equipment to pass by processing terminal
Sensor data flow, and the working condition of electrical equipment is analyzed, to respond the request of user.
More specifically, the patch type magnetometric sensor that the present invention uses includes patch sensor circuit board, the circuit
Plate configures 6LowPAN module and carries out the networking of electrical equipment local and electrical equipment mark.Patch sensor circuit board is fitted in electricity
Near the motor of device equipment, real-time collecting electrical equipment generate magnetic induction data and module uploads number in real time by wireless communication
According to processing terminal, the processing terminal includes PC or server, and the wireless communication module is Wi-Fi communication module.
For the magnetic induction data that patch type magnetometric sensor is collected there are many noises, noise is broadly divided into manual operation, line
Property noise energy, electrode noise, outside noise and internal noise.These noises can by adjusting pasting circuit board position,
Periphery detects environment, and there are also the algorithms of some filter noises to reduce interference of the noise signal to useful sensor signal.So
It needs to carry out data prediction before carrying out feature extraction, first the data in window is normalized, filtered using Gauss
Wave algorithm carries out smothing filtering.
Due to the complexity of magnetic sensor signal itself, it is essential for selecting characteristic value to carry out classification.General processing
Sensor data stream signal can be considered as time domain, frequency domain, time-frequency field technique, that is, use various features.In feature extraction
In, we carry out average value (AV), root mean square in time domain for the magnetic field strength transducer signal in every 200ms window
(RMS), the statistical parameters such as DC component (DC), kurtosis (KU) on zero crossing (ZC), variance (VAR) and standard deviation (SD) and frequency domain
Calculating, obtain its eigenmatrix.
The classifier algorithm that the present invention uses is support vector machines (Support Vector Machine, SVM).SVM is
One has the learning model of supervision, and commonly used to carry out pattern-recognition, classification and regression analysis, its linear can divide situation
It is analyzed, the case where for linearly inseparable, by using non-linear map by low-dimensional input space linearly inseparable
Sample be converted into high-dimensional feature space and make its linear separability so that high-dimensional feature space is using linear algorithm to sample
Nonlinear characteristic carries out linear analysis and is possibly realized.
Trained real time sensor data flow classifier model use into practical application, and is verified classification by the present invention
The classifying quality of device.In laboratory environments, 13 kinds of household electrical appliance are had chosen to be tested, TV, refrigerator, microwave are respectively as follows:
Furnace, washing machine, coffee machine, printer, projector, desktop computer, laptop, sound equipment, hair dryer, air-conditioner outdoor unit, wind
Fan.13 kinds of household electrical appliances type recognition correct rates and each household electrical appliances working condition recognition correct rate are 100%.
Specific embodiments of the present invention are described above.It is to be appreciated that the invention is not limited to above-mentioned
Particular implementation, those skilled in the art can make a variety of changes or modify within the scope of the claims, this not shadow
Ring substantive content of the invention.In the absence of conflict, the feature in embodiments herein and embodiment can any phase
Mutually combination.
Claims (6)
1. a kind of domestic electric appliance intelligent management system based on magnetic strength induction signal, which is characterized in that including data collection mould
Block, data processing module, characteristic extracting module and model training module；Wherein:
The data collection module is used to collect the magnetic induction data of electrical equipment generation and is transmitted to data processing module；
The data preprocessing module is for pre-processing the magnetic induction data；
The characteristic extracting module is for extracting the feature of pretreated magnetic induction data；
The feature for the magnetic induction data that the model training module is used to extract based on characteristic extracting module carries out model training.
2. the domestic electric appliance intelligent management system according to claim 1 based on magnetic strength induction signal, which is characterized in that
The data collection module includes Magnetic Sensor and wireless communication module, in which: Magnetic Sensor is for collecting electrical equipment generation
Magnetic induction data, the magnetic induction data are transmitted to data processing module by wireless communication module.
3. the domestic electric appliance intelligent management system according to claim 2 based on magnetic strength induction signal, which is characterized in that
The wireless communication module includes Wi-Fi module.
4. the domestic electric appliance intelligent management system according to claim 1 based on magnetic strength induction signal, which is characterized in that
The pretreatment includes normalization and gaussian filtering in window time sequence.
5. the domestic electric appliance intelligent management system according to claim 1 based on magnetic strength induction signal, which is characterized in that
The feature of the magnetic induction data includes:
Average value, root mean square, zero crossing, variance and standard deviation in time domain；
DC component and kurtosis on frequency domain.
6. the domestic electric appliance intelligent management system according to claim 1 based on magnetic strength induction signal, which is characterized in that
The model training module is supporting vector machine model training module.
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| CN201811392880.6A CN109344809A (en) | 2018-11-21 | 2018-11-21 | Domestic electric appliance intelligent management system based on magnetic strength induction signal |
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| CN201811392880.6A CN109344809A (en) | 2018-11-21 | 2018-11-21 | Domestic electric appliance intelligent management system based on magnetic strength induction signal |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109946538A (en) * | 2019-03-14 | 2019-06-28 | 上海交通大学 | A kind of mobile device monitoring method and system based on magnetic strength induction signal |
| CN110009045A (en) * | 2019-04-09 | 2019-07-12 | 中国联合网络通信集团有限公司 | The recognition methods of internet-of-things terminal and device |
| CN110543902A (en) * | 2019-08-23 | 2019-12-06 | 北京航空航天大学 | integral detection and individual identification device for electricity utilization condition of household appliance |
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