CN109121108A - A kind of perception control system based on Internet of Things - Google Patents
A kind of perception control system based on Internet of Things Download PDFInfo
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- CN109121108A CN109121108A CN201810864809.7A CN201810864809A CN109121108A CN 109121108 A CN109121108 A CN 109121108A CN 201810864809 A CN201810864809 A CN 201810864809A CN 109121108 A CN109121108 A CN 109121108A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
- H04W16/22—Traffic simulation tools or models
- H04W16/225—Traffic simulation tools or models for indoor or short range network
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/06—Testing, supervising or monitoring using simulated traffic
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/70—Services for machine-to-machine communication [M2M] or machine type communication [MTC]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W84/00—Network topologies
- H04W84/18—Self-organising networks, e.g. ad-hoc networks or sensor networks
Abstract
The perception control system based on Internet of Things that the invention discloses a kind of, comprising: be coupled to the input interface of communication media；Output interface is coupled to the communication media；And control circuit, input interface and output interface are coupled, is used for: first kind sensorial data is received by input interface；Multiple signal characteristics are extracted from received first kind sensing data；Prediction model is executed to generate the prediction signal feature for defining quantity based on the signal characteristic of multiple extractions at least one prediction window；Quantity based on defined prediction signal feature generates the following psychological condition of at least one prediction；At least one following psychological condition predicted is provided with to output interface.
Description
Technical field
The present invention relates to internet of things field, in particular to a kind of perception control system based on Internet of Things.
Background technique
Internet of Things is a kind of Ubiquitous Network established on the internet, by organically combining existing each network
Come, constitutes a unified entirety, wireless sensor network is one of most important cognition technology of thing network sensing layer.It is wireless to pass
There is very big differences for the topology of sensor network and previous cable network, and wireless sensor network node resource is extremely limited,
It often disposes in harsh environment.But in the Internet of Things being made of on a large scale wireless sensor devices, due to by sensor
The influence of many actual network factors such as hardware deficiency, the polymorphic type environmental factor of equipment of itself, sensor node are known
The information such as network topology often dynamic is changeable, be also easy that there are biggish differences with real network situation, and bring more open up
Understanding mistake is flutterred, other application is influenced.Simultaneously because the limitation and dynamic of sensor hardware equipment, and the network of composition
Communication bandwidth is limited etc., and the topology information for accurately and timely obtaining network in a network becomes extremely difficult.Therefore Internet of Things ring
The border of topology and routing infrastructure under to(for) wireless sensor network have higher robustness demand, in order to provide in limited node
Under source, energy consumption is saved, improves wireless sensing network system fault-tolerance, balance network load must just be designed with superperformance
Topology control scheme extend Network morals, to meet the performance requirement of Internet of Things.
Currently, the research for Internet of Things is more, the inspection of the perceptual signal of animal or human body how is realized by Internet of Things
It surveys, and by perceptual signal transport of internet, realization is the problem of current techniques to the fast understanding of perception and control.
Summary of the invention
The perception control system based on Internet of Things that the invention proposes a kind of, comprising:
It is coupled to the input interface of communication media；
Output interface is coupled to the communication media；With
Control circuit couples input interface and output interface, is used for:
First kind sensorial data is received by input interface；
Multiple signal characteristics are extracted from received first kind sensing data；
It executes prediction model and defines quantity to generate based on the signal characteristic of multiple extractions at least one prediction window
Prediction signal feature；
Quantity based on defined prediction signal feature generates the following psychological condition of at least one prediction；With
At least one following psychological condition predicted is provided to output interface.
The system, the control circuit are additionally configured to execute the prediction model, to be based on the multiple extraction
Signal characteristic generated at least one described prediction window six prediction signal characteristics.
The system, at least one prediction window correspond to duration time；It is additionally configured to hold with control circuit
Row prediction model, to generate defined number at least one prediction window within the time for the half for being less than duration time
The prediction signal feature of amount.
The system, the control circuit include:
Characteristic extracting circuit is configured as receiving first kind sensing data and from received first kind sensing data
Extract multiple signal characteristics；
Prediction circuit is configured as executing prediction model based on extracted multiple signal characteristics, at least one
The prediction signal feature of defined quantity is generated in prediction window；With
Conversion circuit is configured as the following heart that the prediction signal feature based on defined quantity generates at least one prediction
Reason state, and at least one following psychological condition predicted is supplied to output interface.
The system, further includes:
At least one master reference, for collecting first kind sensorial data；
At least one aiding sensors, for collecting the sensing data of Second Type；With
Data sensor circuit, is configured that
The sensing data of the first kind is received from least one master reference；
The sensing data of Second Type is received from least one described aiding sensors；With
First kind sensing data and Second Type sensing data are provided to input interface by selected communication media.
The system,
At least one described master reference includes at least one electroencephalogram (EEG) sensor, the electroencephalogram (EEG)
Sensor is configured as collecting the low precision and low-latency EEG data for indicating the human physiological reaction to stimulation；
With
At least one described aiding sensors include at least one electrocardiogram (ECG) sensor, are configured as collection table
Show the high-precision and high latency ECG data of the human psychology response to stimulation.
The system, the control circuit are additionally configured to receive the Second Type sensing via the input interface
Data, and the prediction model is calibrated based on the received Second Type sensing data of institute.
The system, the control circuit are additionally configured in response to being verified based on the Second Type sensing data
The prediction future state of mind of predetermined quantity stops receiving the Second Type sensing data.
The system, the control circuit are additionally configured to for prediction described in limited number of calibration iterative calibration
Stop receiving the Second Type sensing data after model.
The system, further includes:
Internet of Things (IoT) server, including control circuit, input interface and output interface；With
A kind of mobile communication equipment, including data sensor circuit.
Detailed description of the invention
From following description with reference to the accompanying drawings it will be further appreciated that the present invention.Component in figure is not drawn necessarily to scale,
But it focuses on and shows in the principle of embodiment.In the figure in different views, identical appended drawing reference is specified to be corresponded to
Part.
Fig. 1 is the schematic diagram of the perception control system of the invention based on Internet of Things.
Specific embodiment
In order to enable the objectives, technical solutions, and advantages of the present invention are more clearly understood, below in conjunction with embodiment, to this
Invention is further elaborated；It should be appreciated that described herein, the specific embodiments are only for explaining the present invention, and does not have to
It is of the invention in limiting.To those skilled in the art, after access is described in detail below, other systems of the present embodiment
System, method and/or feature will become obvious.All such additional systems, method, feature and advantage are intended to be included in
It in this specification, is included within the scope of the invention, and by the protection of the appended claims.In description described in detail below
The other feature of the disclosed embodiments, and these characteristic roots will be apparent according to described in detail below.
Embodiment one:
As shown in Figure 1, being a kind of perception control system based on Internet of Things of the application, comprising:
It is coupled to the input interface of selected communication media；
Output interface is coupled to selected communication media；With
Control circuit couples input interface and output interface, is used for:
First kind sensorial data is received by input interface；
Multiple signal characteristics are extracted from received first kind sensing data；
It executes prediction model and defines quantity to generate based on the signal characteristic of multiple extractions at least one prediction window
Prediction signal feature；
Quantity based on defined prediction signal feature generates the following psychological condition of at least one prediction；With
At least one following psychological condition predicted is provided to output interface.
The system, wherein the control circuit is additionally configured to execute the prediction model, based on the multiple
Extract the signal characteristic that signal characteristic generates six predictions at least one described prediction window.
The system, in which:
At least one prediction window corresponds to duration time；With
Control circuit be additionally configured to execute prediction model, be less than duration time half time in extremely
The prediction signal feature of defined quantity is generated in a few prediction window.
The system, wherein the control circuit includes:
Characteristic extracting circuit is configured as receiving first kind sensing data and from received first kind sensing data
Extract multiple signal characteristics；
Prediction circuit is configured as executing prediction model based on extracted multiple signal characteristics, at least one
The prediction signal feature of defined quantity is generated in prediction window；With
Conversion circuit is configured as the following heart that the prediction signal feature based on defined quantity generates at least one prediction
Reason state, and at least one following psychological condition predicted is supplied to output interface.
The system, further includes:
At least one master reference, for collecting first kind sensorial data；
At least one aiding sensors, for collecting the sensing data of Second Type；With
Data sensor circuit, is configured that
The sensing data of the first kind is received from least one master reference；
The sensing data of Second Type is received from least one described aiding sensors；With
First kind sensing data and Second Type sensing data are provided to input interface by selected communication media.
The system, in which:
At least one described master reference includes at least one electroencephalogram (EEG) sensor, the electroencephalogram (EEG)
Sensor is configured as collecting the low precision and low-latency EEG data for indicating the human physiological reaction to stimulation；
With
At least one described aiding sensors include at least one electrocardiogram (ECG) sensor, are configured as collection table
Show the high-precision and high latency ECG data of the human psychology response to stimulation.
The system, wherein the control circuit is additionally configured to receive second class via the input interface
Type sensing data, and the prediction model is calibrated based on the received Second Type sensing data of institute.
The system, wherein the control circuit is additionally configured in response to based on the Second Type sensing data
The prediction future state of mind of the predetermined quantity of verifying stops receiving the Second Type sensing data.
The system, wherein the control circuit is additionally configured to for limited number of calibration iterative calibration institute
Stopping receives the Second Type sensing data after stating prediction model.
The system, further includes:
Internet of Things (IoT) mist server, including control circuit, input interface and output interface；With
A kind of mobile communication equipment, including data sensor circuit.
The system, wherein the mobile communication equipment further includes actuator circuit, the actuator circuit is via institute
The communication media of selection is communicably coupled to the output interface, and be configured to respond to receive it is described at least one and touch
Specific action is applied in sending out mobile communication equipment described, predicts following state of mind.
Embodiment two:
A method of the perception control system based on Internet of Things, comprising:
Receive first kind sensorial data；
Multiple signal characteristics are extracted from received first kind sensing data；
It executes prediction model and defines quantity to generate based on the signal characteristic of multiple extractions at least one prediction window
Prediction signal feature；With
Quantity based on defined prediction signal feature generates the following psychological condition of at least one prediction.
The method further includes that the signal characteristic based on the multiple extraction is raw at least one described prediction window
The signal characteristic predicted at six.
The method further includes executing the prediction model when continuing the time of at least one prediction window
Between the less than half of time in generate it is described define quantity prediction signal feature.
The method, further includes:
The sensing data of the first kind is received from least one master reference；With
The sensing data of Second Type is received from least one secondary transducers.
The method further includes calibrating the prediction model based on the received Second Type sensing data of institute.
The method, further includes: in response to the prediction for the predetermined quantity verified based on the Second Type sensing data
The following psychological condition stops receiving the Second Type sensing data.
The method further includes stopping receiving after the calibration iteration that the calibration prediction model reaches specified quantity
The Second Type sensing data.
The method, further includes:
Mobile communication equipment is communicably coupled to IoT mist server by selected communication media；
Mobile communication equipment is coupled at least one master reference and at least one auxiliary sensor；
Mobile communication equipment is configured that
The sensing data of the first kind is received from least one master reference；
The sensing data of Second Type is received from least one described aiding sensors；With
First kind sensing data and the second class sensing are provided to Internet of Things mist server by selected communication media
Data；With
IoT server is configured that
Multiple signal characteristics are extracted from received first kind sensing data；
It executes prediction model and defines quantity to generate based on the signal characteristic of multiple extractions at least one prediction window
Prediction signal feature；
Quantity based on defined prediction signal feature generates the following psychological condition of at least one prediction；With
At least one following psychological condition predicted is provided to mobile communication equipment by selected communication media.
The method, further includes: in response to receiving the following state of mind of at least one prediction, described in configuration
Mobile communication equipment is to trigger the movement specific to application.
Embodiment three:
A kind of perception control system based on Internet of Things can be applied to brain or human body component, perceive human body
Action signal, carry out virtual controlling exterior object, realize internet of things functional.Include:
It is coupled to the input interface of selected communication media；
Output interface is coupled to selected communication media；With
Control circuit couples input interface and output interface, is used for:
First kind sensorial data is received by input interface；
Multiple signal characteristics are extracted from received first kind sensing data；
It executes prediction model and defines quantity to generate based on the signal characteristic of multiple extractions at least one prediction window
Prediction signal feature；
Quantity based on defined prediction signal feature generates the following psychological condition of at least one prediction；With
At least one following psychological condition predicted is provided to output interface.
The system, wherein the control circuit is additionally configured to execute the prediction model, based on the multiple
Extract the signal characteristic that signal characteristic generates six predictions at least one described prediction window.
Likewise, the system can be used for connecting animal, by machine translation, the cyberspeak with animal, enhancing are realized
Human body and pet etc. carry out communication, or under test conditions, observe the state etc. of animal.
Although describing the present invention by reference to various embodiments above, but it is to be understood that of the invention not departing from
In the case where range, many changes and modifications can be carried out.That is methods discussed above, system or equipment etc. show
Example.Various configurations can be omitted suitably, replace or add various processes or component.For example, in alternative configuration, can with
Described order in a different order executes method, and/or can add, and omits and/or combine the various stages.Moreover, about
The feature of certain configuration descriptions can be combined with various other configurations.Can combine in a similar way configuration different aspect and
Element.In addition, many elements are only range of the example without limiting the disclosure or claims with the development of technology.
Give detail in the description to provide to the thorough understanding for including the exemplary configuration realized.However,
Configuration can be practiced without these specific details for example, having been illustrated with well-known circuit, process, calculation
Method, structure and technology are without unnecessary details, to avoid fuzzy configuration.The description only provides example arrangement, and unlimited
The scope of the claims processed, applicability or configuration.It is used on the contrary, front will provide the description of configuration for those skilled in the art
Realize the enabled description of described technology.It, can be to the function of element without departing from the spirit or the scope of the present disclosure
It can and arrange and carry out various changes.
In addition, many operations can be in parallel or concurrently although each operation can describe the operations as sequential process
It executes.Furthermore it is possible to rearrange the sequence of operation.One process may have other steps.Furthermore, it is possible to pass through hardware, soft
Part, firmware, middleware, code, hardware description language or any combination thereof carry out the example of implementation method.When software, firmware, in
Between when realizing in part or code, program code or code segment for executing necessary task can store in such as storage medium
In non-transitory computer-readable medium, and described task is executed by processor.
To sum up, be intended to foregoing detailed description be considered as it is illustrative and not restrictive, and it is to be understood that described
Claim (including all equivalents) is intended to limit the spirit and scope of the present invention.The above embodiment is interpreted as only using
In illustrating the present invention rather than limit the scope of the invention.After the content for having read record of the invention, technology
Personnel can make various changes or modifications the present invention, these equivalence changes and modification equally fall into the claims in the present invention and limited
Fixed range.
Claims (10)
1. a kind of perception control system based on Internet of Things characterized by comprising
It is coupled to the input interface of communication media；
Output interface is coupled to the communication media；With
Control circuit couples input interface and output interface, is used for:
First kind sensorial data is received by input interface；
Multiple signal characteristics are extracted from received first kind sensing data；
It executes prediction model and defines the pre- of quantity to generate based on the signal characteristic of multiple extractions at least one prediction window
Survey signal characteristic；
Quantity based on defined prediction signal feature generates the following psychological condition of at least one prediction；With
At least one following psychological condition predicted is provided to output interface.
2. system according to claim 1, which is characterized in that the control circuit is additionally configured to execute the prediction mould
Type, the signal for generating six predictions at least one described prediction window with the signal characteristic based on the multiple extraction are special
Sign.
3. the system as claimed in claim 1, which is characterized in that at least one prediction window corresponds to duration time；With
Control circuit is additionally configured to execute prediction model, with pre- at least one within the time for the half for being less than duration time
It surveys in window and generates the prediction signal feature of defined quantity.
4. the system as claimed in claim 1, which is characterized in that the control circuit includes:
Characteristic extracting circuit is configured as receiving first kind sensing data and extract from received first kind sensing data
Multiple signal characteristics；
Prediction circuit is configured as executing prediction model based on extracted multiple signal characteristics, at least one prediction
The prediction signal feature of defined quantity is generated in window；With
Conversion circuit is configured as the future psychological shape that the prediction signal feature based on defined quantity generates at least one prediction
State, and at least one following psychological condition predicted is supplied to output interface.
5. the system as claimed in claim 1, which is characterized in that further include:
At least one master reference, for collecting first kind sensorial data；
At least one aiding sensors, for collecting the sensing data of Second Type；With
Data sensor circuit, is configured that
The sensing data of the first kind is received from least one master reference；
The sensing data of Second Type is received from least one described aiding sensors；With
First kind sensing data and Second Type sensing data are provided to input interface by selected communication media.
6. system as claimed in claim 5, which is characterized in that
At least one described master reference includes at least one electroencephalogram (EEG) sensor, electroencephalogram (EEG) the sensor quilt
It is configured to collect the low precision and low-latency EEG data for indicating the human physiological reaction to stimulation；With
At least one described aiding sensors include at least one electrocardiogram (ECG) sensor, are configured as collecting expression pair
The high-precision and high latency ECG data of the human psychology response of stimulation.
7. system as claimed in claim 5, which is characterized in that the control circuit is additionally configured to via the input interface
The Second Type sensing data is received, and the prediction model is calibrated based on the received Second Type sensing data of institute.
8. system according to claim 5, which is characterized in that the control circuit is additionally configured in response to based on described
The prediction future state of mind of the predetermined quantity of Second Type sensing data verifying stops receiving the Second Type sensing number
According to.
9. system according to claim 5, which is characterized in that the control circuit is additionally configured to for restriction quantity
Calibration iterative calibration described in stop after prediction model receiving the Second Type sensing data.
10. system as claimed in claim 5, which is characterized in that further include:
Internet of Things (IoT) server, including control circuit, input interface and output interface；With
A kind of mobile communication equipment, including data sensor circuit.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201810864809.7A CN109121108A (en) | 2018-08-01 | 2018-08-01 | A kind of perception control system based on Internet of Things |
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| CN201810864809.7A CN109121108A (en) | 2018-08-01 | 2018-08-01 | A kind of perception control system based on Internet of Things |
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